UGANDA BUREAU OF STATISTICS 2017 STATISTICAL ABSTRACT FOREWORD The Uganda Bureau of Statistics (UBOS) is committed to the production and dissemination of integrated statistical information that meet the National and International standards quality requirements. Specifically, indicators are required for monitoring the progress towards achieving the goals for the National Development Plan II, 201516-2019/20 and the United Nations (UN) Sustainable Development Goals (SDGs). This Statistical Abstract is UBOS’s prime annual publication through which key statistical information derived from the latest surveys, censuses and administrative records of Ministries, Departments and Agencies (MDAs) are disseminated for use in tracking outcomes of policies as well as decision-making. The information presented in the 2017 Statistical Abstract covers statistics on the Environmental, Demographic, Socio-economic, Production and Macroeconomic sectors. Information on these sectors is presented basing on on either a Calendar Year (January-December) or Financial Year (July-June) structure, depending on availability of data. The Bureau would like to appreciate the continued cooperation of MDAs and Local Governments in providing the requisite data to produce this publication. In a special way, I wish to thank the 2017 Statistical Abstract Committee that compiled this publication. The Bureau welcomes constructive comments from stakeholders that aim at enhancing the quality of its future publications. Copies of this publication are available at the Bureau’s Head Office located at Statistics House, Plot 9, Colville Street, Kampala and the official UBOS website: www.ubos.org. It is my sincere hope that the statistical information in this publication will be used by the readers to make informed decisions. Ben Paul Mungyereza Executive Director i TABLE OF CONTENTS Contents FOREWORD ............................................................................................................................. i LIST OF ACRONYMS ............................................................................................................ vii EXECUTIVE SUMMARY .......................................................................................................... x GLOSSARY ......................................................................................................................... xvii GENERAL INFORMATION ............................................................................................... xxviii NATIONAL STANDARD INDICATOR FRAMEWORK ....................................................... xxix CHAPTER ONE ....................................................................................................................... 1 ENVIRONMENT STATISTICS ............................................................................................................................................. 1 1.1 Administrative Units .......................................................................................................................................... 1 1.2 Land cover ........................................................................................................................................................... 2 1.3 Forests ................................................................................................................................................................. 4 1.3.1 Forests Cover .................................................................................................................................. 4 1.3.2 Local and Central Forest Reserves................................................................................................ 4 1.3.3 Consumption of charcoal and firewood ......................................................................................... 5 1.4 Climate .................................................................................................................................................................. 6 1.4.1 Rainfall and Rain-days .................................................................................................................... 6 1.4.2 Temperature..................................................................................................................................... 9 1.4.3 Humidity.......................................................................................................................................... 10 1.5 Water Supply ..................................................................................................................................................... 12 1.5.1 Metered water ................................................................................................................................ 12 1.5.2 Unmetered water ........................................................................................................................... 12 CHAPTER TWO ..................................................................................................................... 13 DEMOGRAPHIC STATISTICS .......................................................................................................................................... 13 2.1 Population .......................................................................................................................................................... 13 2.1.1 Population Trends ........................................................................................................................... 13 2.1.2 Population of Special Interest Age Groups ..................................................................................... 14 2.1.3 Population in Urban Areas .............................................................................................................. 14 2.1.4 Fertility............................................................................................................................................. 15 2.1.5 Mortality........................................................................................................................................... 15 ii 2.1.6 Life Expectancy at Birth .................................................................................................................. 16 2.2 Education ................................................................................................................... 17 2.2.1 Primary School Education ............................................................................................................... 17 2.2.1.2 Pupil Enrolment by class ................................................................................................................. 17 2.2.1.4 Education Facilities ......................................................................................................................... 18 2.2.1.5 Primary Leaving Examinations (PLE) Performance ....................................................................... 19 2.2.1.6 Primary Completion and Transition Rate ........................................................................................ 19 2.2.1.7 Teachers’ qualification .................................................................................................................... 19 2.2.2 Secondary School Education .......................................................................................................... 20 2.2.2.1 Key Indicators ................................................................................................................................. 20 2.2.2.2 Student Enrolment by class ............................................................................................................ 21 2.2.2.3 Orphaned Students ......................................................................................................................... 21 2.2.2.4 Teachers’ Qualification .................................................................................................................... 21 2.2.2.5 UACE and UCE Performance ......................................................................................................... 22 2.2.3 Tertiary Education ........................................................................................................................... 23 2.2.4 Literacy ............................................................................................................................................ 24 2.2.5 The National Assessment of Progress in Education (NAPE) competence scores ......................... 25 2.3 Labour Market Statistics........................................................................................................................................... 26 2.3.1 Work and Employment concepts .................................................................................................... 26 2.3.2 Key Labour Market Indicators of Working Population ..................................................................... 26 2.3.3 Industry of the main job for the working population ........................................................................ 27 2.3.4 Key Labour Market Indicators of Employed Population .................................................................. 28 2.3.4.1 Labour Underutilisation components .............................................................................................. 29 2.3.4.2 Persons in Employment Living in Poor Households ....................................................................... 29 2.3.4.3 Share of Women in Employment .................................................................................................... 30 2.3.4.4 Monthly wages for paid employees, 14-64 years ........................................................................... 30 2.3.5 Urban Labour Force Indicators ....................................................................................................... 31 2.3.6 Working Children ............................................................................................................................. 32 2.3.6 Youth Employment .......................................................................................................................... 33 2.3.7 Advertised Jobs in news papers ..................................................................................................... 34 2.3.7.1 Advertised Jobs by Professional Categorisation ............................................................................ 34 2.3.7.2 Advertised Jobs by Industry (ISIC Revision 3)................................................................................ 34 2.3.7.3 Number of Vacancies Advertised by Education Level .................................................................... 35 2.3.8 Employment in the Civil Service ..................................................................................................... 35 2.3.9 Emplyement and Earnings in the Selected Manufacturing and Hotel Establishments ................... 36 2.4 Household Expenditure and Poverty ............................................................................................................... 37 2.4.1 Consumption Expenditure per Household ...................................................................................... 37 2.4.2 Mean Per Capita Consumption Expenditure .................................................................................. 37 2.4.3 Share of Household Expenditure by Item Group ............................................................................ 38 iii 2.4.4 Poverty Trend Estimates ................................................................................................................. 39 2.4.5 Income Inequality ............................................................................................................................ 41 2.4.6 Changes in poverty Status (2013/14 – 2015/2016) ........................................................................ 41 2.5 Public Health ...................................................................................................................................................... 43 2.5.1 Health Facilities ............................................................................................................................... 43 2.5.2 Expenditure on Health Sector ......................................................................................................... 44 2.5.3 Morbidity .......................................................................................................................................... 45 2.5.4 Maternal Health Care ...................................................................................................................... 46 2.5.4.1 Maternal Morbidity and Mortality .................................................................................................... 46 2.5.4.2 Pregnancy Related Mortality .......................................................................................................... 46 2.5.4.3 Deliveries by skilled health provider ................................................................................................ 47 2.5.5 Under Five Health Facility Based Mortality ..................................................................................... 47 2.5.6 Tuberculosis Detection and Treatment ........................................................................................... 48 2.6 Crime Statistics .................................................................................................................................................. 49 2.6.1 Annual Crime Rate .......................................................................................................................... 49 2.6.2 Serious crimes Investigated ............................................................................................................ 50 2.6.3 Traffic and Road Safety .................................................................................................................. 50 2.6.4 Prison Statistics............................................................................................................................... 55 2.6.7 Prison Staff...................................................................................................................................... 59 CHAPTER THREE ................................................................................................................. 60 PRODUCTION STATISTICS.................................................................................................. 60 3.1 Agriculture and Fisheries ......................................................................................................................................... 60 3.1.1 Major Cash Crops ........................................................................................................................... 60 3.1.2 Area and production of Food Crops, 2016 ...................................................................................... 61 3.1.3 Fish catch by water body ................................................................................................................ 64 3.1.4 Livestock ......................................................................................................................................... 65 3.1.5 Beef, Milk and Egg production ........................................................................................................ 66 3.2 Industry Statistics .............................................................................................................................................. 68 3.2.1 3.3 Index of Production (Manufacturing) ............................................................................................... 68 Energy Statistics ................................................................................................................................................ 69 3.3.1 Import of Petroleum products .......................................................................................................... 69 3.3.2: Annual Average Retail Prices for Petroleum Products ................................................................... 69 3.3.3 Electricity ......................................................................................................................................... 70 3.3.3.1: Installed Capacity ........................................................................................................................... 70 3.3.3.2: Number of consumers ..................................................................................................................... 70 3.3.3.3 3.4 3.4.1 Annual Average Weighted Domestic Tariff ..................................................................................... 71 Building and Construction Statistics .............................................................................................. 72 Building Statistics ............................................................................................................................ 72 iv 3.4.1.1 Building Plans Submitted ................................................................................................................ 72 3.4.1.2 Plans Approved ............................................................................................................................... 72 3.4.1.3 Occupational Permits Issued .......................................................................................................... 73 3.4.2 Cement Consumption ..................................................................................................................... 73 3.5 Mineral Statistics ........................................................................................................................................................ 74 3.5.1: Mineral production by quantity ........................................................................................................ 74 3.5.2: Mineral production by value ............................................................................................................ 74 3.6 Transport Statistics ........................................................................................................................................... 75 3.6.1 Road transport ................................................................................................................................ 75 3.6.1.1 Road Network ................................................................................................................................. 75 3.6.1.2 Newly registered motor vehicles ..................................................................................................... 75 3.6.1.3 Government licensed Motor vehicles and Motorcycles .................................................................. 76 3.6.2 Air Transport ................................................................................................................................... 76 3.6.3 Rail Transport.................................................................................................................................. 77 3.6.4 Inland Water Transport ................................................................................................................... 78 3.6.5 Transport Licensed Vehicles for Public Use ................................................................................... 78 3.7 Communication Statistics ................................................................................................................................. 80 3.7.1 Telephone Usage ............................................................................................................................ 80 3.7.2 Call tariffs ........................................................................................................................................ 80 3.7.3 Internet market ................................................................................................................................ 81 3.7.4 Mobile Money transactions ............................................................................................................. 81 3.7.5 Postal and Courier services ............................................................................................................ 81 3.8 Migration and Tourism ..................................................................................................................................... 83 3.8.1 International Arrivals and Departures ............................................................................................. 83 3.8.2 Arrivals from and Departures to the EAC- Partner States .............................................................. 83 3.8.3 Tourist Arrivals ................................................................................................................................ 84 3.8.4 Visits to National Parks ................................................................................................................... 86 CHAPTER FOUR ................................................................................................................... 88 MACROECONOMIC STATISTICS .................................................................................................................................... 88 4.1 National Accounts ............................................................................................................................................. 88 4.1.1 Introduction ..................................................................................................................................... 88 4.1.2 Production Sector Performance ...................................................................................................... 88 4.1.3 Agriculture, forestry and fishing Sector ........................................................................................... 89 4.1.4 Industry Sector .................................................................................. Error! Bookmark not defined. 4.1.5 Services Sector ................................................................................. Error! Bookmark not defined. 4.1.6 Expenditure on GDP ......................................................................... Error! Bookmark not defined. 4.1.7 Balance of Payments ...................................................................................................................... 95 4.1.7.1 Current Account Balance ................................................................................................................ 95 v 4.1.7.2 4.2 Capital and Financial Account Balance .......................................................................................... 96 Price Statistics ................................................................................................................................................... 97 4.2.1 Consumer Price Index (CPI) ........................................................................................................... 97 4.2.2 Producer Price Index - Manufacturing ........................................................................................... 99 4.2.3 Producer Price Index- Hotels & Restaurants ................................................................................ 103 4.2.4 Construction Sector Indices .......................................................................................................... 104 4.3 External Trade .................................................................................................................................................. 106 4.3.1 Trade Balance ............................................................................................................................... 106 4.3.2 Exports .......................................................................................................................................... 106 4.3.3 Imports .......................................................................................................................................... 106 4.3.4 Main traded Commodities ............................................................................................................. 107 4.3.5 Direction of Trade.......................................................................................................................... 108 4.3.5.1 Exports .......................................................................................................................................... 108 4.3.5.2 Imports .......................................................................................................................................... 108 4.4 Government Finance Statistics ...................................................................................................................... 110 4.4.1 Introduction ................................................................................................................................... 110 4.4.2 Central Government revenue ........................................................................................................ 110 4.4.3 Central Government Expenditure ................................................................................................. 110 4.3.4 Local Government revenue and recurrent expenditure ................................................................ 112 4.5 Banking and Currency..................................................................................................................................... 113 4.5.1 Depository Corporations Survey ................................................................................................... 113 4.5.2 Commercial Banks Assets and Liabilities ..................................................................................... 113 4.5.3 Commercial banks outstanding loans and advances ................................................................... 114 4.5.4 Structure of Interest Rates ............................................................................................................ 114 4.5.5 Exchange Rate.............................................................................................................................. 115 4.6 Insurance .......................................................................................................................................................... 117 4.6.1 Life Insurance income and expenditure ........................................................................................ 117 4.6.2 Non-Life Insurance income and expenditure ................................................................................ 118 Statistical Appendix ........................................................................................................... 119 vi LIST OF ACRONYMS ASL Bill.Shs BOP BMUs CAA CBR CDR CG CFR COMESA CIS CPAE CPI CSI CY DAP DMBs DRC DWD DPT3 EPR EAC EPS EU FISIM FY GDP GIR GO GFS GWh H/C HEP HFO HFI HH HSSP IoP IC ICBT IDO IMR IPT Above Sea Level Billion Shillings Balance of Payments Beach Management Units Civil Aviation Authority Crude Birth Rate Crude Death Rate Central Government Central Forest Reserve Common Market for Eastern and Southern Africa Community Information System Consumption Per Adult Equivalent Consumer Price Index Construction Sector Index Calendar Year Deposit Administrative Plan Deposit Money Banks Democratic Republic of Congo Directorate of Water Development Diphtheria, Pertussis and Tetanus Employment to Population Ratio East African Community Express Penalty Scheme European Union Financial Intermediation Services Indirectly Measured Fiscal Year Gross Domestic Product Gross Intake Ratio Gross Output Government Finance Statistics Giga Watt Hours Health Centre Hydro-Electric Power Heavy Fuel Oil Health Facility Inventory Household Health Sector Strategic Plan Index of Production Intermediate Consumption Informal Cross Border Trade Industrial Diesel Oil Infant Mortality Rate Intermittent Presumptive Treatment vii ISCO ISIC KCCA KWh LFR LFPR LPG MAAIF Mbps MFPED MGLSD MoES MOH Mill.Shs Mm MRH Mt MTN MW MWE na nes NFA NSDS NTEs NWSC OPD OPI OPV PPI PHP PLE PPI-M PPI-H&R PNFP PS RH SADC Shs SITC Sq.Kms TEs THF TFR TT UA International Standard Classification of Occupation International Standard Industrial Classification Kampala Capital City Authority Kilo Watt Hours Local Forest Reserve Labour Force Participation Rate Liquefied Petroleum Gas Ministry of Agriculture, Animal Industry and Fisheries Mega bits per second Ministry of Finance, Planning and Economic Development Ministry of Gender, Labour and Social Development Ministry of Education and Sports Ministry of Health Million shillings Millimetres Mean Relative Humidity Metric tonnes Mobile Telephone Network Mega Watts Ministry of Water and Environment Not Available Not elsewhere stated National Forestry Authority National Service Delivery Survey Non-Traditional Exports National Water and Sewerage Corporation Out-Patient Department Occupational Permits Issued Oral Polio Vaccine Producer Price Index Private Health Practitioner Primary Leaving Examinations Producer Price Index-Manufacturing Producer Price Index-Hotels and Restaurants Private Not For Profit Plans Submitted Relative Humidity Southern African Development Community Shillings Standard International Trade Classification Square Kilometers Traditional Exports Tropical High Forest Total Fertility Rate Tetanus Urban Authorities viii UBOS UCDA UDHS UEDCL UETCL UHSBS ULFS UNDP UNEPI UNHS UNMHCP UPE UPHC URA USE UTA UTL VA VCs WHO Common Symbol “-“ Uganda Bureau of Statistics Uganda Coffee Development Authority Uganda Demographic and Health Survey Uganda Electricity Distribution Company Limited Uganda Electricity Transmission Company Limited Uganda HIV/AIDS Sero-Behavioural Survey Urban Labour Force Survey United Nations Development Programme Uganda National Expanded Programme on Immunisation Uganda National Household Survey Uganda National Minimum Health Care Package Universal Primary Education Uganda Population and Housing Census Uganda Revenue Authority Universal Secondary Education Uganda Tea Association Uganda Telecommunication Limited Value Added Vulnerable Children World Health Organisation Not Applicable/Not Available ix EXECUTIVE SUMMARY The Statistical Abstract is an annual publication compiled by Uganda Bureau of Statistics, which provides the statistical summary on various socio-economic indicators for Uganda. Some figures in this edition may vary from those in the earlier editions due to the updates. Note that some of the CY 2016 and FY 2015/16 data presented in this edition are provisional and could be revised in subsequent publications. This publication is divided into four major chapters which are preceded by a glossary of definitions and general information on Uganda. A set of Statistical Appendix Tables that are serialized, using a combination of numbers and alphabets, such as Table 1.1A, Table 2.3 B etc, are also provided for the readers’ information. The reader is encouraged to refer to such tables while reading the text. It should be noted that the number of districts has been increasing. However, some information in this issue is presented basing on the 80 districts as of July2007, where this is the case, it is always reflected. Chapter one presents environmental statistics covering land, climate, forestry and water supply with the following highlights: Land Area by coverage by 2015  Uganda has a total area of 241,550.7 square kilometers.  Open water bodies covered 36,864.01 square kilometers.  Wetlands cover 7,620.76 square kilometers.  Land area is 197,065.91 square kilometers.  Agricultural land increased from 99,703.1 sq. kms in 2005 to 105,317.2 sq. kms.  Built up land area covered 1,360.02 square kilometers. Forests  Forest cover reduced significantly by 46.9 percent over a period of 20 years.  Woodlands cover declined by about 37 percent between 2005 and 2010.  Total forest cover declined by 27 percent between 2005 and 2010.  There was an average decline forest cover of 5.42 percent per year.  Round wood production increased by 1,587,000 tonnes in 2016. Climate  In 2016, Lira and Entebbe recorded higher rainfall above their long term annual averages. Mbarara, Tororo and Kampala recorded rainfall below their long term annual averages.  In 2016, Arua and Jinja had the lowest mean daily minimum temperatures while Gulu had the highest mean daily minimum temperature. x  Entebbe and Jinja had generally high mean relative humidity at 06:00 hrs throughout 2016 ranging between 65 and 88 percent. Water Supply  Total water produced by NWSC increased from 99.6 million cubic meters in FY 2014/15 to 105.5 million cubic meters in FY 2015/16.  Lyantonde and Kyotera registered the highest increments in water production of more than 100 percent. Chapter Two presents Demographic AND Socio-Economic Statistics relating to Population, Education, Labour Force, Employment and Earning, Income and Expenditure, Public Health and Crime. Below are highlights of the chapter: Demographic and Socio-Economic Statistics   According to 2014 NPHC Provisional results; o Uganda population was 34.6 million persons. o Annual population growth rate between 2002 and 2014 censuses was 3.03 percent. o 2014 population density was 174 persons per square kilometer. o Sex ratio was 94.5 percent in 2014. According to the 2016 UDHS; o Total fertility was 5.4 children per woman. o Infant mortality rate was 43 deaths per 1000 live birth. o Under five mortality rate was 64 deaths per 1000 live birth. Education  Primary enrolment was at 8.6 million in 2016.  In 2016, about 12 percent of primary pupils enrolled were orphaned.  In 2016, more than two thirds of pupils attending primary school had adequate sitting space.  87 percent of pupils who sat Primary Leaving Exams (PLE) passed.  Secondary school enrolment stood at 1,457,277.  235,443 students were orphaned in 2016. Labour force, Employment and Earnings  Uganda’s working population increased from 12.9 million in 2009/10 to 13.9 million in 2012/13.  The proportion of working females decreased from 53 percent in 2009/10 to 51 percent in 2012/13.  72 percent of the working population was engaged in the agriculture sector in 2012/13.  30 percent of the persons in the work force have attained at least secondary school. xi Income and expenditure  There was a five percent increase in the monthly household expenditure from 232,200 UShs to 244,000 UShs between FY 2009/10 and FY 2012/13.  Per capita expenditure registered a real increase of 15 percent in the rural areas of the Western region.  The proportion of the poor population reduced from 24.5 percent to 19.7 percent corresponding to about 6.7 million people.  Forty six percent of the household expenditure was on food, beverages and tobacco.  Nationally, on average, income inequality reduced from 0.426 to 0.395 between 2009/10 and 2012/13.  Eighteen percent of the population in Uganda was chronically poor across the survey periods 2011/12 and 2013/14.  Below are the characteristics of the chronically poor; o 12 percent live in rural households o 23 percent of the household heads had no formal education, o 24 percent of the chronically poor households were in Northern Uganda. Health  The staffing levels in public health facilities was 70 percent in 2015/16.  Malaria remains the highest cause of morbidity and mortality among the children below 5 years of age followed by cough.  Malaria was the leading cause of mortality for children under 5 years. Crime  The number of crimes reported to Police reduced to 244,000 cases in 2015 compared to the annual record of 259,000 cases recorded in 2014.  Defilement was the most common serious crime accounting for more than half of all the serious crimes in 2016.  The Uganda Police Force recorded a total of about 14,474 road traffic accidents in 2016. A total of 15,757 causalities from road traffic crashes was registered in 2016 and passengers formed the highest percentage with (38.8 percent).  The leading cause of road accidents in 2016 was careless driving (45 percent),  About 27percent of road accident crashes occurred between 4:00-8:00pm.  Uganda’s prison population in 2016 stood at 50,912 people.  In 2016, 308 prisoners occupied space meant for 100 prisoners. Chapter three presents statistics on production, which for purposes of this Abstract includes Agriculture and Fisheries, Industry, Producer Prices, Energy, Building and Construction, Transport and Communications, Tourism and Migration. Below are the highlights of the chapter: xii Agriculture  Area planted for Food crops stood at 926,689 Hectares in 2016.  A total of 3,395,875 tonnes of bananas were produced in 2016.  In 2016, 468 million tonnes of fish was caught in Uganda’s water bodies. Index of production  The Index of Production which measures output from manufacturing activities recorded for the year 2015 was 222.9 which was a 1.4 percent increase from the year that ended 2014.  The ‘Chemicals, Paint, Soap and Foam products ‘group registered the highest increase of 24.7 percent. Energy  Energy purchases by Uganda Electricity Transmission Company increased by 6 percent from 3,335 GWh in 2015 to 3,535 GWh in 20i6  Total number of UMEME customers increased by 24 percent from 704,637 in 2014 to 872,836 customers in 2015.  Total installed capacity of electricity power plants remained constant as in 2015.  There was 7.6 percent and 6.1 percent increase in the import volume of petrol and diesel respectively in 2016 compared to 2015. Building and construction  58 percent of the plans submitted were approved for residential buildings while 34 percent were approved for commercial buildings  The Net Domestic Supply of cement which considers domestic production registered an increase of 9.5 percent between 2015 and 2016. Minerals  In 2016 minerals produced fetched a value of 176 billion Shillings. Transport  There was an increase of 6 percent in the total length of paved roads 3,919 km in 2015 to 4,157 km in 2016.  There was a 1.9 percent increase in the total number of passengers passing through Entebbe International Airport from 1,520,450 in 2015 to 1,549,495 in 2016.  The volume of cargo offloaded at Entebbe International Airport increased by 5.5 percent from 56,465 tonnes in 2015 to 59,556 tonnes in 2016.  The number of vehicles licensed by the Government increased by 97 percent in 2016. Communication  There was a 12.9 percent increase in telephone subscribers from 20.549 million subscribers in 2015 to 23.2 million subscribers in 2016. xiii  The national teledensity increased by 7.5 percent from 59 lines per 100 people in 2015 to 63 lines per 100 people in 2016.  The volume of talk time increased by 21.6 percent from 20,061 million minutes in 2015 to 24,392 million minutes in 2016.  The call rate for off-net calls decreased from 510 Uganda shillings in 2015 to 288 Uganda shillings in 2016 giving a 43.5 percent decrease.  The internet penetration rose from 39.7 percent in 2015 to 51.9 percent in 2016.  The total number of registered mobile money customers increased by 2 percent from 21,102 (thousand) customers in 2015 to 21,580 (thousand) customers in 2016.  The volume of letters handed by Posta Uganda decreased by 15 percent from 1,899,843 letters in 2015 to 1,618,882 letters in 2016. Migration and Tourism  The country recorded a total of 1.8 million international arrivals and 1.9 million departures in 2016.  The number of visitors to national parks increased from 216,000 in 2015 to 246,000 in 2016.  Tourists visiting friends and relatives in Uganda increased from 453,000 in 2015 to 499,000 in 2016.  The most popularly visited national park in 2016 was Queen Elizabeth (35 percent), followed by Murchison Falls (31 percent) and Lake Mburo National Park (11 percent).  39 percent of the visitors to national parks were foreigners who are non-residents. Chapter four presents Macro-Economic Statistics including National Accounts, Prices, External Trade, Public Finance, Banking, Currency and Insurance. Below are the highlights of the chapter: National Accounts  In the FY 2016/17, GDP at constant (2009/10) prices was estimated to grow by 4.0 percent. The sectoral performance was as indicated below.  Agriculture, forestry and fishing (1.6 percent)  Industry (3.3 percent)  Services (5.7 percent)  Taxes on products (1.1 percent)  The per capita income at 2009/10 constant price declined from Ug. Shs 1,554,000 in 2015/16 to Ug. Shs 1,571,000 in 2016/17, a growth of 1.1 percent. Consumer Price Index (CPI)  Annual average Headline inflation for the 2016 calendar year was 5.5 percent compared to 5.4 percent recorded for the 2015 calendar year;  During the same period, the annual average Core inflation was recorded at 6.0 percent compared to 5.4 percent observed during the 2015 calendar year; xiv  Annual average Food Crops inflation for the 2016 calendar year declined to 3.1 percent compared to 6.7 percent registered during the 2015 calendar year; and  Annual average Energy, Fuel and Utilities (EFU) inflation increased to 3.9 percent compared to 3.5 percent recorded for the year 2015 calendar year. PPI-Manufacturing  The annual PPI-M (combined) increased by 3.6 percent for the year ended December 2016.  The increase in the Producer Prices (combined) was due to an increase in the prices of Food Processing (11.0 percent), Drinks and Tobacco (5.3 percent), Textiles, Clothing and Footwear (11.3 percent), and Bricks and Cement products (8.3 percent).  The PPI-M (local) registered an annual average increment of 3.0 percent in the CY 2016 from 2015.  The PPI-M (Export) registered an annual average increment of 4.8 percent in CY 2016 from the 2015. PPI- Hotels and Restaurants  The Producer Prices for Hotels and Restaurants activities rose by 1.4 percent in the year ending December 2016 compared with the increase of 14.3 percent for the ending December 2015. Construction sector indices  Average prices of inputs for the construction activities generally increased by 3.6 percent in 2016 compared to 0.5 percent in 2015.  Inputs for Formal buildings registered the biggest price increase of 14.8 percent in 2016 compared to 2015. External Trade  During 2016, the country experienced the lowest trade deficit of US$ 1,992.8 million in comparison with the previous years.  The total value of imports declined by 12.5 percent in 2016 after a significant decrease of 8.9 percent in 2015.  The overall export earnings increased by 8.8 percent in 2016 compared to the previous year.  Formal exports increased by 9.5 percent from 2,267.0 million in 2015 to 2,482.3 million in 2016.  Contribution of the formal Traditional Exports (TEs) to the overall formal export earnings decreased from 25 percent in 2015 to 21.7 percent in 2016.  The Asian continent maintained as the major source of Uganda’s imports and the COMESA regional bloc remained as the main destination of Uganda’s exports. Banking and Currency  Net Foreign Assets increased by 7.0 percent between 2015 and 2016.  Net Domestic Credit increased by 7.4 percent between 2015 and 2016. xv  Money Supply (M3) increased by 7.2 percent between June 2015 and June 2016. Money supply (M2) increased by 8.9 percent during the same period.  The Central Bank Rate (CBR) increased to 15.0 percent in June 2016 from a 13.0 percent increase in 2015.  Total Commercial Bank Assets increased by 16.1 percent between 2015 and 2016.  The average exchange rate for Uganda Shilling per US dollar depreciated by 5.6 percent in 2016.  The overall volume of purchase of foreign exchange across commercial banks and forex bureaus declined by 10 percent in 2016. Insurance  Insurance policies issued by insurance companies generally increased in 2016 compared to the previous years.  Life insurance gross premium incomings increased by 34.8 percent in 2015 from 74,034 million in 2014 to 99,849 million shillings in 2015.  The life paid and outstanding claims registered an increase of 43.6 percent in 2015 compared to 75.2 percent registered in 2014. The value of life paid and outstanding claims increased from 21,859 million in 2014 to 31,397 million in 2015.  Non-life insurance gross premium registered an increase of 35.7 percent in 2015.  The Non-life paid and outstanding claims increased from 42,762 million shillings in 2014 to 88,067 million shillings in 2015. xvi GLOSSARY A Nursery school A place where children are prepared for entry into primary school education. Accident fatality risk The accident fatality risk, defined as the number of accidental deaths per 100,000 populations. Accident Severity Determined by or classified according to the most severe casualty involved in an accident. Severity is also used to rank accidents Adult A person aged 18 years and above, as per the Constitution of Uganda. Agriculture The growing of crops and rearing of animals for food, other human needs or economic gain. An orphan A child below 18 years of age who has lost either one or both parents. Assault/Attack This is the threatening/attacking someone in a way that frightens him/her. In most of the cases violence is involved i.e. inflicting severe or aggravated bodily injury. Asset Anything valuable that an entity owns, benefits from or has use of, in generating income. Aviation fuel More purified kerosene fuel used in aviation gas-turbine engines. Base period The reference period, to which a series of index numbers relate, It is usually expressed as 100. BCG (Bacillus Camete Guerin) A vaccine against Tuberculosis. Bio-mass energy Energy that is obtained from fuel wood, charcoal and crop residues. Broad money - (M2)A Equivalent to (M2) plus certificates of deposit. Broad money - (M3) Equivalent to (M2)A plus foreign currency deposits. Broad money – (M2) Consists of the currency in circulation, as well as the demand, time and savings deposits. The deposits are those held by the private sector. Careless Driving A person whose conduct is inconsiderate in disregard for the right of others and that endangers or is likely to endanger person or property. Casualty (Victim) Person who sustains a slight, serious or fatal injury. Child A juvenile. A person aged below 18 years. Child labour Work that is mentally, physically, socially and/or morally dangerous and harmful to children. Hazardous work which by its nature or the circumstances under which it is performed, jeopardises the health, safety and morals of a child. Also includes work or activities that interfere with children’s school attendance. Child Labour measurement National and International standards are used to define child labour. Based on these framework standards, children become child Labourers if they are aged 5-11 years and engaged in economic activities for at least one hour a week, or, aged 12-13 years and engaged in economic activities for at least 14 hours per week, or, aged 14-17 years and involved in economic activities for at least 43 hours a week, or 14-17 years and engaged in work regarded as hazardous. According to this definition, household chores are not among activities grouped in child labour. xvii Child work A child is regarded to be involved in child work, if she/he is aged 5-17 years and was involved in economic activities for at least one hour during the reference week, by extension, therefore, such a child will be regarded as a child worker. Civil Servants Employees of line ministries, teaching service, police, prison, public universities and local governments. Cohabiting A state where a man and woman are not officially married but are living together in a sexual union. Completion rate The total number of new entrants in the last grade of any education level, regardless of age, expressed as a percentage of the population at the entrance age to the last grade of that education level. Crime An unlawful act or omission punishable by law. Crime Rate The incidence of crime per 100,000 people. Damage of property The abstract measure of property not being intact, and may refer to any household item which suffered after a crime incidence. Day Care A place that looks after children between 0 - 2 years and their parents pick them in the evening. Defrauding This is the act of depriving an individual, organisation, or even a household of their money, or property through deceitful trickery or cheating methods. It is also a deliberate deception to secure unfair or unlawful gain. Diesel fuel Fuel used for internal combustion in diesel engines and as a burner material in heating installations such as furnaces. Another name for this product is automotive gasoil. Divorced A condition where legally married couples legally separate for life and each stays away from the other thereafter. However, either of the two (man or woman) can re-marry. DMBs Deposit Money Banks. Commercial banks in Uganda’s institutional settings. DPT A vaccine against Diphtheria, Pertussis (whooping cough) and Tetanus. Driver In relation to a motor vehicle, means a person who drives, or attempts to drive, or is in charge of a motor vehicle (including a cycle) or an instructor of a learner driver. In relation to animals, means a person who guides cattle, in singular or in herds, or flocks, pack saddle animals on a road. But in relation to a towed vehicle, a person who drives the towing vehicle. Earnings for persons in paid For paid employment jobs, earnings include: direct wages and salaries, bonuses and employment gratuities, commissions and tips, directors’ fees, profit-sharing bonuses and other forms of profit-related pay, remuneration for time not worked as well as free or subsidised goods and services from an employer. Economic activity Covers all market production and certain types of non-market production, including production and processing of primary products for own consumption, own-account construction (owner occupied dwellings) and other production of fixed assets for own use. Employed Persons Persons who work for wage or salary in cash or in kind or both and have a formal job attachment. xviii Employment Restricted to only the working age population who were engaged in any activity to produce goods or provide services for pay or profit. “For pay or profit” refers to work done as part of a transaction in exchange for remuneration payable in the form of wages or salaries for time worked or work done, or in the form of profits derived from the goods and services produced through market transactions. Employment status Refers to the status of an economically active person with respect to his/her position at his/her place of work and his/her mode of remuneration. Engineering plant Movable plant or equipment being a self-propelled vehicle or trailer designed or constructed for the special purposes of engineering operations which, where proceeding on a road, does not carry any load greater than such as is necessary for its propulsion or equipment. Enterprise A single legal entity or a combination of legal entities. It may also be a sole legal unit carrying out one or more activities at one or more locations. It may alternatively be several establishments. Establishment An economic unit engaged in one or predominantly one kind of economic activity under single ownership or control and is situated at a single physical location. Exports Outward flows comprising goods leaving the economic territory of a country to the rest of the world. Fatal Accident An accident in which death occurs at the scene of the accident or within one year of the accident as a result of injuries sustained in the accident. Foreign Reserves Consist of those external assets available to and controlled by central banks for direct financing of balance of payments imbalances, for indirectly regulating the magnitude of such imbalances through intervention in exchange markets to affect the currency exchange rate, and/or for other purposes. Included are monetary gold, Special Drawing Rights (SDRs), reserve position in the fund, foreign exchange assets (consisting of currency, deposits and securities) and other claims. General Hospitals Health facilities that provide preventive, outpatient curative, maternity, inpatient health services, emergency surgery, blood transfusion, laboratory and other general services. They also provide in-service training, consultation and research in support of communitybased health care programmes. Gross Domestic Product The value of goods and services produced within the economic territory of the country. Gross Enrolment Rate The ratio of pupils in primary school (regardless of age) to the country total population aged 6-12 years. Gross Enrolment Ratio Total enrolment in a specific level of education (Pre-primary, Primary, Secondary and Tertiary), regardless of age, expressed as a percentage of the eligible official school-age population corresponding to the same level of education in a given school-year. Gross Intake Rate The ratio of the pupils enrolled in primary one regardless of age to the country total population aged six years. Gross Intake Ratio The total number of new entrants in the last grade of a given level of education, regardless of age, expressed as percentage of the total population of the theoretical entrance age to the last grade of that education level. xix Gross Output The production value as compiled from total receipts from industrial and non industrial goods and services in an economy, adjusted for stock changes but excluding Excise Duty and Indirect Taxes. This is Gross Output at factor cost. Growth Rate The number of people added to (or subtracted from) a population in a year due to natural increase and net migration expressed as a percentage of the population at the beginning of the time period. Hazardous work Refers to a situation where a person is engaged in work for more than 43 hours a week or works under conditions that entail them to work at night. Health Centre II Out-patient clinic treating common diseases and offering antenatal care. It is supposed to be led by an enrolled nurse, working with a midwife, two nursing assistants and a health assistant. According to the Ugandan government's health policy, every parish is supposed to have a Health Centre II. Health Centre III Health centre with facilities which include an operation room and a section for minor surgery. It is headed by a clinical officer, offers the continuous basic preventive and curative care and provides support supervision of the community and the Health Centre II facilities under its jurisdiction. According to the Ugandan government's health policy, every sub-county is supposed to have a Health Centre III. Health Centre IV A mini-hospital that provides the kind of services found at Health Centre III, but in addition has separate wards for men, women, and children in which to admit patients. It should have a senior medical officer and another doctor as well as a theatre for carrying out emergency operations. According to the Ugandan government's health policy, every county or parliamentary constituency is supposed to have a Health Centre IV. Heavy Fuel Oil Residual fuel obtained after refinery of petroleum products. It is used in ships and industrial large-scale heating installations as a fuel in furnaces or boilers. Home based child care An arrangement where a mother in the community looks after children at a cost in her premises and trains them basic skills necessary for proper upbringing. Imports Inward flows of goods from the rest of the world into the economic territory of a country. Incidence of Crime The total number of crimes reported per population of interest over a given period of time in a defined area (territory/country). Index Number A number that shows relative change in price or volume between the base period and another period. Industry This is an economic activity undertaken by a business establishment as specified in the International System of Industrial Classification (ISIC). Infant Mortality Rate Inflation The number of deaths of infants under one year of age per 1,000 live births in a given period. The persistent increase in the general level of prices of goods and services in an economy over a period of time Informal employment rate (IER) Persons in informal employment comprise of:  Employees whose employers’ do not pay contributions to their social security or, if they do, do not benefit from annual leave or payment in lieu of leave not taken, xx or paid sick leave in case of illness or injury or income tax deduction. • Employers and own account workers employed in their own businesses or places of work that are not registered for income tax and/or Value Added Tax (VAT). • Members of producers’ cooperatives employed in their cooperatives that are not registered. • Own account workers engaged in the production of goods exclusively for own final use by their household (such as subsistence farming or do it yourself construction of own dwellings), if considered employed according to the 13th International Clasification of Labour Services (ICLS) Edition definition of employment. • Contributing family workers, irrespective of whether they work in formal or informal sector enterprises. Intermediate Consumption The value of goods and services that are used in the process of production of other goods and services rather than final consumption Juvenile A person below 18 years of age (Children Statute 1997). Kerosene This is fuel used as an illuminant for lighting and in some cases for cooking. Labour force The labour force consists of all persons of working age who were either employed or unemployed. Labour Force Participation Rate Labour underutilisation Labour underutilisation is a broad concept that encompasses unemployment and other forms of mal-employment, namely, insufficiency of the volume of work (labour slack), low remuneration (low earnings) and incompatibility of education and occupation (skill mismatch). For the present purpose, labour underutilization is defined to be the aggregate of labour slack (unemployed, time related under employment as well as those marginally attached to the labour force), low earnings and skill mismatch. Large Business Business establishment employing 100 or more persons. Life Expectancy The average number of years a person could expect to live if current mortality trends were to continue for the rest of that person's life. Most commonly cited as life expectancy at birth. Liquid Petroleum Gas Liquid Petroleum Gases (LPG’s) are hydrocarbons, which are gaseous under conditions of normal temperature and pressure but are liquefied by compression or cooling to facilitate storage, handling and transportation. Literacy rate The percentage of population aged 10 years and above that can read with understanding and write a simple sentence meaningfully in any language. Loan Money or securities supplied by one party (the lender) to a second party (the borrower) in a transaction in return for a promised future payment by the borrower. Such transactions normally include the payment of interest due to the lender as per agreed repayment schedules between the two parties. xxi Low pay rate Low pay rate (LPR) or inadequate earnings rate refers to the proportion of the employed persons with hourly/monthly earnings less than 2/3 of median hourly/median earnings of full-time workers (persons working 40-48 hours a week); cf. Resolution on employmentrelated income by the 16th ICLS (1998). Marginally attached to the Discouraged workers and other inactive persons with labour force attachment. labour force Micro Hydro Power Stations Hydro Power Stations generating electricity in the range of 5 KW – 100 KW Mini Hydro Power Stations Hydro Power Stations generating electricity in the range of 101 KW – 1 MW Minor Accident Accident where no persons are injured. Minor Injury Injury of a minor character such as a sprain, bruise or cut not judged to be severe or slight shock requiring roadside attention. Motor vehicle Any self-propelled automobile intended or adapted for use on the road. National Referral Hospitals In addition to the services offered at the regional referral hospital, they provide comprehensive specialist services and are involved in teaching and health research. Net Enrolment Rate The ratio of pupils in primary school aged 6 – 12 to the country total population aged 6 -12 years. Net Enrolment Ratio The Enrolment of the official age-group for a given level of education (Pre-primary, Primary and Secondary) expressed as a percentage of the corresponding population. Net Intake Rate The ratio of the pupils aged six in primary one to the country total population aged 6 years. Net Intake Ratio The number of new entrants of official age expressed as a proportion of the official school entry age (3 years for pre- primary, 6 years for primary, 13 years for secondary and 19 years for tertiary). Non-traditional exports Refers to commodities other than traditional exports (Coffee, Cotton, Tea, and Tobacco) that have recently featured in Uganda’s export trade. Numeracy rate The Percentage of pupils who can use numbers, complete sequences, make additions, subtraction, simple multiplication, simple division, simple weights and measures, money counting, telling time, interpret a pictograph and draw a pictogram. Occupation Refers to the nature of task and duties performed during the reference period preceding the interview by persons in paid employment, unpaid family work or self-employment jobs. Orphan A child whose biological parent or both parents are dead. Single orphans are children who have lost one biological parent, while double orphans are those who have lost both biological parents. Other crimes in general Include threatening Violence, human trafficking, abduction, kidnap, arson (general), malicious damage to property, escapes from lawful custody, rescues from lawful custody, examination leakage and stealing, piracy, criminal trespass, domestic violence, attempted suicide, attempted murder (by shooting), attempted murder ( other than shooting), other penal code offences (not categorised) Overdraft A type of a short-term loan particularly used to supply short-term credit to tide over the production cycle or finance for seasonal requirements. xxii Pass Rate The percentage of pupils/students that passed exams at a given level of education. Passengers Travellers in a car, bus, train, plane or ship who are not driving or part of the crew. These also include those embarked and disembarked. Pedestrian Any person travelling on foot. Permissible light work Light work refers to non-hazardous activities done by children in their homes under observation and supervision by their families in an environment free of exploitation. Persons in employment Refers to all persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit. For “pay or profit” refers to work done as part of a transaction in exchange for remuneration payable in the form of wages or salaries for the time worked or work done. The payment may also be in the form of profits derived from the goods and services produced through market transactions. Petrol This is a light hydrocarbon fuel used in positive ignition engines. Another name used for this type of fuel is premium motor spirit. Population pyramid A population pyramid is a pictorial representation of the age distribution of a given population. Its shape is determined by the past birth and death rates in that population. Poverty Gap (P1) The sum over all individuals of the shortfall of their real private consumption per adult equivalent from the poverty line, divided by the poverty line. It is the measure of the depth of poverty, however, with limitations since it is insensitive to how consumption is distributed among the poor mainly below the poverty line. P1 is the per capita cost of eradicating poverty, as a percentage of the poverty line, if money could be targeted perfectly. Poverty Headcount (P0) The P0 indicator is “headcount”: the percentage of individuals estimated to be living in households with real private consumption per adult equivalent below the poverty line Prison Place where people are legally kept as a punishment for crimes they have committed or while awaiting trial. Prison capacity This is the number of inmates a prison can safely accommodate which is 01 prisoner per every 3.6m2 of accommodation space. Prison occupancy rate Is the number of inmates accommodated per available accommodation space of one prisoner expressed as a percentage. Prisoner A person kept in prison as a punishment for a crime or while waiting for trial. Producer Price The producer's price is the amount receivable by the producer from the purchaser for a unit of a good or service produced as output minus any VAT, or similar deductible tax, invoiced to the purchaser; it excludes any transport charges invoiced separately by the producer.. Proportional morbidity ratio The proportion attributable to a given cause of illness. It is a proxy for the prevalence of sickness in a population. Pupil-Classroom Ratio (PCR) The average number of pupils (students) per classroom at a specific level of education in a given school year. Pupil-Stance Ratio (PSR) The average number of pupils (students) per latrine stance at a specific level of education in a given school year. Pupil-Teacher Ratio (PTR) The average number of pupils (students) per teacher at a specific level of education in a xxiii given school year. Reckless/Dangerous Driving A mental state in which the driver displays a wanton disregard for the rules of the road; the driver misjudges common driving procedures, often causing accidents and other damages. Regional Referral Hospitals In addition to the services offered at the general hospital, these hospitals offer specialist services such as psychiatry, ear, nose and throat, radiology, pathology, ophthalmology as well as higher level surgical and medical services, including teaching and research. Relative Humidity A measure of the amount of water vapour/moisture in the air (at a specific temperature) compared to the maximum amount of water vapour air could hold at that temperature, and is given as a percentage value. Relative humidity depends on the temperature of the air, as warm air can hold more moisture than cold air. Relative humidity of 100 percent indicates that the air is holding all the water it can at the current temperature and any additional moisture at that point will result in condensation. Residents Persons whose usual residence is Uganda including those whose nationality is not Ugandan. Retained Reserves The increase in value of a currency or the increase in value of fixed assets consisting mainly of freehold land and buildings. Revaluation reserves Reserves arising due to the revaluation of fixed assets but cannot be paid out as dividends because they are not realised profits. They merely restate the value of an asset. Separated A situation where married couples separate from each other without legalising the separation, and hence can re-unite after some time. However they are still regarded as married from the legal point of view. Serious Accident Accident in which a person is admitted in the hospital as an “in-patient” or any of the following injuries whether or not one is admitted in the hospital, or sustains: fractures, concussion, internal injuries, crashing, severe cuts and lacerations. Serious Injury Injury for which a person is admitted in hospital as an ‘in-patient’, or any of the following injuries whether or not the person is admitted in hospital: fractures, concussion, internal injuries, crashing, burns, severe cuts and lacerations or severe general shock requiring medical treatment. Single A man or woman who has never been married or never been in a consensual union. Skill mismatch or skill Skill mismatch measures the incompatibility between education and occupation. Workers inadequate employment whose educational attainment is above the skill requirement of their jobs are in some sense underutilized. The return on investment in their education and training is below optimum and somewhat wasted. Solid waste Any semi-solid or solid matter created by human or animal activities, and which are disposed because they are hazardous or useless. Squared Poverty Gap (P2) The sum over all individuals of the square of the shortfall of their real private consumption per adult equivalent and the poverty line divided by the poverty line. The reason to square the shortfall is to give greater weight to those who are living far below the line. The indicator caters for a policy which also makes transfers from someone just below the poverty line to the poorest person which P1 does not reflect. xxiv Teaching Service Teachers of primary and secondary schools, technical or commercial institutes as well as other tertiary institutions, colleges and establishments. The Employment-to-population The number of employed persons in the working age population given as a percentage of ratio (EPR) the total number of persons in the working age population. It is one of the measures of the extent of job creation in the economy. The indicator is calculated as: The labour force participation The labour force participation rate measures the proportion of the working age population rate (LFPR) that is economically active .i.e. working and unemployed. LFPR is the number of persons in the labour force given as a percentage of the working age population. The indicator is calculated as: The Performance index A measure of the quality of passing at all levels of education. The unemployment rate (UR) Unemployment rate (UR) is the percentage of the labour force that is unemployed. It is calculated as follows: Theft The illegal taking of another person's property without that person's freely-given consent. Time-related underemployment The time-related underemployed includes all employed persons whose hours of work “are (TRE) insufficient in relation to an alternative employment situation in which the person is willing and available to engage.” Hence, the criteria of time-related underemployment at the national level can be summarized as: (i) willingness to work additional hours; (ii) availability to work additional hours and, (iii) having worked below a threshold of working hours (less than 40 hours a week). Total Fertility Rate (TFR) The average number of children that would be born alive to a woman (or group of women) during her lifetime if she were to pass through her childbearing years conforming to the age-specific fertility rates of a given period. Trade Balance The difference in value between the country’s visible imports and exports. Traditional Exports Long-term export cash crops introduced to Uganda long time ago. That is Coffee, Cotton, Tea and Tobacco. Traffic Accident Crashes between vehicles; between vehicles and pedestrians; between vehicles and animals; or between vehicles and fixed obstacles. xxv Transition rate The number of pupils (or students) admitted to the first grade of a higher level of education in a given year, expressed as a percentage of the number of pupils (or students) enrolled in the final grade of the lower level of education in the previous year. Treasury Bill Short-term bearer securities with maturities of 91 days, 182 days, 273 days or 364 days issued by Bank of Uganda. Under- utilisation An aggregate of persons who were; unemployed, in time related under-employment and potential labour force. Unemployment Persons of working age are classified as unemployed if, during a short reference period such as a day or a week, they (a) were without work, i.e. did not work for even one hour in any economic activity (paid employment, self-employment, or unpaid work for a family business or farm); (b) were available for work; and (c) had taken active steps to seek work during the past four weeks. Value Added The value of outcome when factors of production interact to produce and avail goods and services. Value added is the difference between the value of gross output and the value of intermediate inputs. Value added comprises of the following: Value Added Tax (VAT) A form of consumption tax. From the perspective of the buyer, it is a tax on the purchase price. From the seller’s perspective, it is a tax only on the value added to a product, material or service. Victim A person who is offended as a result of a criminal act. Wage Bill All cash payments made by employers in return for labour provided by the employees. The payments include salaries and wages, overtime, holiday pay, bonuses, commissions, sick leave and any other allowances paid in cash to the employees. Widowed A situation where one partner in a marriage is dead. It applies to both monogamous and polygamous marriages. In case of polygamous marriages where the man is dead, the women are referred to as widows. However, where a man loses one of his many wives, he cannot be referred to as a widower. Work Comprises of own-use production work, employment work; unpaid trainee work, volunteer work and other forms of work. Work excludes activities that do not involve producing goods or services (e.g. begging and stealing), self-care (e.g. personal grooming and hygiene) and activities that cannot be performed by another person on one’s own behalf (e.g. sleeping, learning and activities for own recreation). Working age While no international standard on age limits exists, for purposes of statistical measurement, the working age population is commonly defined as persons aged 15 years and older, but this may vary from country to country. xxvi Working persons Persons of working age are classified as working or employed if, during a short reference period such as a day or a week, (i) they did some work (even for just one hour) for pay, profit or family gain, in cash or in kind; or (ii) they were attached to a job or had an enterprise from which they were ‘temporarily’ absent during this period (for such reasons as illness, maternity, parental leave, holiday, training, industrial dispute). Working poor Individuals forming part of the working population but whose incomes fell below the official poverty line. Working poverty rate (WPR) WPR is the proportion of the employed population living in households that are classified as poor, i.e. their consumption or income levels are below a determined national poverty line. The direct measurement of the indicator can be expressed as: Worst Forms of Child Labour According to ILO convention No.182 (1999), the worst forms of child labour include: (i) Child slavery or practice similar to slavery, such as sale and trafficking of children, debt bondage and serfdom, use of children in armed conflict; (ii) Use, procurement and offering of a child for prostitution and pornography; (iii) Use of children in illicit activities such as drug trafficking; (iv) Work that is likely to harm the health, safety and morals of children Youth For statistical purposes, the United Nations defines youth, as those persons between the ages of 15 and 24 years, without prejudice to other definitions by Member States. In practice, however, many national statistics offices apply their own definitions of youth which often differ from the international standard. In Uganda, a youth is a person aged 1830 years. xxvii GENERAL INFORMATION Geographical Indicators Longitude 29034’E & 3500’E Latitude 4o12’N & 1o29’S Altitude (minimum ASL) 620 meters (maximum ASL) 5,111meters Total Surface Area 241,550.7 km2 Temperature 2016 16-300 C GDP at current market prices (2016) 86,756 billion Shs GDP growth rate at constant (2009/10) market prices 2.5 percent Contribution of agriculture to GDP at current market prices 23.5 percent Inflation rate 5.5 percent Area under water and swamps 41,743 km2 Rainfall 2016 850 -1700 mm/year 2016 Economic Indicators Per capita GDP at current market prices 2,384,007 Shs Per capita GDP growth rate at constant (2009) market prices 3.8 percent Reserves 202.4 million US$ Budget deficit excluding grants as a percentage of GDP (2016/17) 4.6 percent Demographic and socio-economic indicators Percentage urban (2014 Census) 21.4 percent Population of Kampala city (2014 Census) 1.51 million Sex ratio of total population (2014 census) 94.6 males per 100 females Population density (2014 census) 173 persons /km2 Life Expectancy at birth (2014 census) 63.3 years Female 64.2 years Male 62.2 years Infant Mortality rate (2014 census) 53 per 1000 live births Pupil Classroom ratio (Primary 2016) 54 Student Classroom ratio (Secondary 2016) 51 Pupil Teacher ratio (Primary 2014) 43 Student Teacher ratio (Secondary 2014) 22 Note: * Demographic projections were based on the Census 2014 provisional results. Only population of gazetted city, municipalities and towns was considered as urban population. Reserve estimates based on Balance of Payments manual xxviii NATIONAL STANDARD INDICATOR FRAMEWORK LEVEL 1: NATIONAL GRADUATION TO LOWER MIDDLE INCOME STATUS Relevant UN Indicators Baseline Priority National Indicatorsi (2014/15) 2015/16 Graduation Criterion 1: Income 1.1: GDP Per Capita (US$), Current Prices 777 671 1.2: GDP Growth Rate (%) 5.2 4.7 76,883 82,903 1.3: GDP at Market prices (Billion UGX) 1.4: Proportion of Population below the National Poverty Line (%) 1.5: Income distribution (GINI Coefficient) 19.7 0.395 1.6: Savings as % of GDP 1. 1.7: US$ Labour Productivity Per Worker – Total 687.4 Gross National Income (GNI) 1.8: US$ Labour Productivity Per Worker – Agriculture 125.2 per capita 1.9: Sector Composition of GDP (%) 1.9.1: 23.9 23.7 i. Agriculture, Forestry and Fisheries Cash Crops 1.7 1.7 ii. Food Crops 12.4 12.1 iii. Livestock 4.1 4.3 iv. Forestry 4.0 3.9 v. Fisheries 1.6 1.6 Manufacturing 8.6 8.7 1.9.2: Graduation Criterion 2: Human Assets 2.1: Literacy Rate (10 Yrs+) – Total 2. Adult Literacy Rate 72.2 i Male 77.4 ii Female 67.6 2.2: Average years of schooling 3.1:Gross Enrolment Ratio* 3. Gross School Enrolment 3.1.1: Primary 109 3.1.2: Secondary Other Indicators related to human assets 4. Undernourished Population (%) 25 3.2:Transition Rate (Primary to Secondary)* 63.2 64.8 4.1:Underweight (Under 5-Years) 13.8 10.5 4.2:Stunting (Under 5-Years) 33.4 28.9 4.3.1: Wasting 4.7 3.6 4.3.2: Overweight 0.7 1.6 3.3:Net Secondary completion rate 4.3:Prevalence of malnutrition (weight for height >+2 or <-2 standard deviation from the median of the WHO Child Growth Standards) among children under 5 years of age by type 5.1:Total Population (millions) 5. Population 34.6 5.2:Population growth rate 3.0 5.3:Total fertility rate 6.2 5.4 5.4:Life expectancy at birth (years) 63.3 5.5:Maternal mortality ratio per 100,000 live births 438 336 54 43 5.6:Infant mortality rate per 1000 live births 5.7: Working-Age Population Employed (percentage) xxix 47.8 Relevant UN Indicators Baseline Priority National Indicatorsi (2014/15) 5.8:Labour force in agriculture, forestry and fisheries (percentage) 33.8 5.9:Labour force in service sector (percentage) 45.1 2015/16 5.10: Share of manufacturing jobs to total formal jobs 5.11:Labour force in Manufacturing (percentage) 15.4 5.12:Labour force in Construction (percentage) 4.6 5.13:Labour force in Industrial sector***(percentage) 5.14:US$ Labour Productivity Per Worker – Industry (percentage) 2,499.2 5.15:US$ Labour Productivity Per Worker – Service (percentage) 1,717.5 5.16:Global Gender Gap Index*(percentage) 6. Under five mortality rate 21.1 6.1: Under Five Mortality Rate (per 1,000 live births) (percentage) 0.708 0.704 90 64 4,623 3,957 Graduation Criterion 3: Economic Vulnerability 7. Victims of natural disasters 8.1: Volume of the agricultural production (‘000 Tonnes)* 8. Instability of Agricultural Production i. Plantain Bananas (All types) ii. Millet iii. Maize iv. Rice v. Beans vi. Gnuts 295 275 236 194 2,812 2,483 238 215 1,079 810 8.2: Value of the Agriculture Exports ('000 US $) (Formal)* 9. i. Coffee 402,634 352,058 ii. Cotton 20,778 24,543 iii. Tea 70,317 74,472 iv. Tobacco v. Fish and Fish Products vi. Maize 81,660 8.4: Wetland cover (% of total area)** 2 9.1: Value of Exports(Million US $) (Formal)* 9.2: Export proportion of GDP 2,267 2,482 0.18 0.19 3,919 4,157 19.1 20.2 1,260 1,260 10.1: Ratio of manufactured exports to total exports 11.1:Total paved national road network (kms) 11.2:Proportion of paved national to total national roads 11.3:Kilometres of functional railway network 11. Remoteness 91,055 11 Goods and Services Concentration 73,180 114,772 8.3: Forest Cover (% of total area)** Instability of Exports of 10. Merchandise Export 72,897 117,597 11.4:Volume of cargo transported by rail (Million tonnes)* 818,520 11.5:Percentage of households with access to electricity (Lighting) 20.4 11.6:Consumption of electricity (Kwh per capita) 90.7 11.7:Safe water coverage 11.7.1: Urban 85.0 11.7.2: Rural 66.6 92.9 * - Figures are for calendar years 2015 and 2016, respectively; **-Figures for 2010; *** - Industry (also known as production) includes mining & quarrying, manufacturing, electricity supply, water supply and construction. xxx CHAPTER ONE ENVIRONMENT STATISTICS This section presents statistics on Administrative units, land, forestry, climate and water supply. 1.1 Administrative Units Uganda is stratified into administrative units namely; Districts, Counties, Consitituencies, Sub-Counties, Parishes and Villages to facilitate service delivery nearer to the people. In total, there are 122 districts as at 1st July 2017, including Kampala Capital City. Below is a table indicating the number of administrative units at lower levels by region. Table 1.1: Number of administrative units per region CENTRAL District County Consitituency Sub County Parish EASTERN District County Consitituency Sub County Parish NORTHERN District County Consitituency Sub County Parish WESTERN District County Consitituency Sub County Parish NATIONAL District County Consitituency Sub County Parish 2002 2014 July 1, 2016 July 1, 2017 13 34 n.a 202 1,254 24 44 n.a 245 1383 24 44 n.a 245 1383 25 57 73 262 1537 15 43 n.a 270 1,492 32 52 n.a 413 1830 32 52 n.a 413 1833 34 69 79 438 2322 13 42 n.a 228 1,194 30 44 n.a 306 1483 31 44 n.a 306 1483 32 57 66 327 1647 15 44 n.a 258 1297 26 53 n.a 393 1531 29 53 n.a 393 1495 31 72 78 433 1961 56 163 n.a 958 5237 112 193 n.a 1357 6227 116 193 n.a 1357 6194 122 255 296 1460 7467 Source: Uganda Bureau of Statistics 1 1.2 Land cover Uganda has an area of 241,550.7 square kilometres (sq.km), of which 41,027.4 sq km are open water and swamps while 200,523.2 sq km is land. The altitude above sea level ranges from 620 metres Above Sea Level (ASL) on the Albert Nile to 5,111 metres ASL (Mt. Rwenzori peak). Uganda shares Lake Victoria with Kenya and Tanzania and Lakes Albert and Edward with the Democratic Republic of Congo (DRC). Within its boundaries are lakes Wamala, Bunyonyi, Katwe, Nakivale, Mburo, Kyoga, George and Bisina. Both the eastern and western borders of Uganda are marked by mountains. The Ruwenzori Mountains (often called the Mountains of the Moon) form about eighty kilometers of the border between Uganda and the Congo Democratic Republic (DRC). In eastern Uganda, the border with Kenya is marked by volcanic hills including Mount Elgon (4,324 meters ASL). In the north-east, there is Mount Moroto (3,085 meters ASL). Besides, the Imatong Mountains (3,029 meters ASL), mark the border with South Sudan. Land area estimates for 2015 by type of cover as updated from the Remote Sensing Survey (RSS) indicated that agricultural land occupies the largest proportion of land cover area (43 percent), followed by grassland (21 percent) and then water (15 percent) as shown in Figure 1.1 and Table 1.2: Figure 1.1: Share of Land Cover type, for Uganda 2010 (Sq km) Wetland, 3.2 Water, 15.3 Impediment, 0.0 Agriculture, 43.6 Grassland, 21.1 Forest, 8.1 Builtup area, 0.6 Bush land, 8.2 Land areas for grasslands and water bodies remained the same between 1990 and 2015. However, the land area for grasslands increased by 3.9 percent in 2010 while that for water bodies reduced by one percent over the same period. Area under forest has significantly been decreasing since 1990. It decreased by 46.7 percent between 2005 and 2015. Land area for agriculture increased by 12.4 percent between 1990 and 2000, and by 4.7 percent between 2000 and 2005. It however increased by 5.6 percent between 2005 and 2015. 2 Notably, the built-up area increased by 40 percent between 2010 and 2015. Land area for bush lands also deccreased by 17 percent in the same period. The changes are illustrated in Figure 1.2 while the data is presented in Table 1.2 and Statistical Appendix Table 1.2A to C. Figure 1.2: Land Cover area by type, 1990-2010 (sqkm) 120000 100000 80000 60000 40000 20000 0 1990 Table 1.2: 2000 2005 2010 2015 National Land Cover statistics (sq km) Type of land cover 1990 2000 2005 2010 2015 Built-Up Areas 365.7 365.7 365.7 969.79 1,360.02 Bush-lands 14,223.90 12,624.50 11,893.60 23,776.05 19,723.25 Agriculture 84,694.50 95,211.20 99,703.10 99,219.98 105,317.21 684.5 684.5 684.5 1,343 2,567.46 84,010.00 94,526.70 99,018.60 97,877 102,749.75 51,152.70 51,152.70 51,152.70 50,859.25 51,051.57 Commercial Farmlands Cultivated Lands Grasslands Impediments 37.1 37.1 37.2 114.21 78.56 Forest 49,333.60 40,416.40 36,654.80 21,943.2 19,535.30 Woodlands 39,740.90 32,601.40 29,527.80 14,449 12,144.78 Plantations - Hardwoods 186.8 153.3 138.6 213 442.98 Plantations - Softwoods 163.8 80 121.5 442 635.68 Tropical High Forest 2,740.60 2,248.20 2,036.30 5,637 1,020.00 Tropical High Forest Normal 6,501.50 5,333.50 4,830.60 1,202 5,291.86 36,902.80 36,902.80 36,902.90 36,581 36,864.01 4,840.40 4,840.40 4,840.60 8,087 7,620.76 241,550.70 241,550.70 241,550.70 241,550.7 241,550.7 Water Bodies Wetlands Total Note: The figures indicated in the above table are based on projections. Actual vegetation studies were undertaken in 1994 based on 1992 satellite imagery. Source: National Forestry Authority 3 1.3 Forests 1.3.1 Forests Cover In 2010, Uganda had a total of 2.6 million hectares of forest land compared to 4.9 million hactares in 1990. This is a reduction of 46.9 percent over a period of 20 years. As a proportion, in 1990, forest covered 20.4 percent of the land area of the country. Table 1.2 gives the forest cover areas and changes between 1990, 2005 and 2010. Table 1.3.1: Forest Cover changes between 1990, 2005 and 2010 Broad Year leaved Plantations Conifer THF well THF low Plantations stocked stocked Wood land Total Forest Cover Area 2010 (hactares) 19,436 38,472 659,228 127,623 1,775,041 2,619,679 2005 (hectares) 14,841 18,767 542,787 201,644 2,816,423 3,594,462 1990 (hectares) 18,682 16,384 651,110 273,062 3,974,508 4,933,746 2005- 2010 4,595 19,705 116,441 -74,021 -1,041,382 -974,783 1990- 2005 -3,841 2,383 -108,323 -71,418 -1,158,085 -1,339,284 2005-2010 31.0% 105.0% 21.5% -36.7% -37.0% -27.1% Annual, 2005-2010 6.19% 21.00% 4.29% -7.34% -7.40% -5.42% 1990-2005 -20.6% 14.5% -16.6% -26.2% -29.1% -27.1% Annual,1990-2005 -1.37% 0.97% -1.11% -1.74% -1.94% -1.81% Change in area Percentage change in area THF: Tropical High Forest Source: National Forestry Authority In 2005, Uganda had a total of 3.6 million hectares of forest land compared to 4.9 million hectares in 1990. This is a reduction of 27.1 percent over a period of 15 years. Table 1.2 above shows that the total deforestation rate per year (between 1990 and 2005) was 1.8 percent, while that between 2005 and 2010 was 5.4 percent. 1.3.2 Local and Central Forest Reserves The proportion of land under Central Forest Reserve (CFR) was higher than the Local Forest Reserve (LFR) in all the regions as established through the National Bio-mass Study, 2005. Eastern region had the largest proportion under LFR (2.6 percent) while Western Region had the lowest proportion (0.1 percent). 4 Table 1.3.2: Share of total area under forests by region, 2005 LFR CFR Hectares Region Central % Hectares 303,358 99.5 1,576 % 0.5 Eastern Total Forest reserve Area 304,934 56,479 97.4 1,531 2.6 58,010 Northern 556,825 99.7 1,447 0.3 558,272 Western 356,037 99.9 431 0.1 356,468 Uganda 1,272,699 99.6 4,985 0.4 1,277,684 (1) CFR – Central Forest Reserve (2) LFR – Local Forest Reserve Source: NFA. 1.3.3 Consumption of charcoal and firewood Table 1.3.3 shows the value of household expenditure on firewood and charcoal as estimated f rom the Uganda National Household Surveys (UNHS). The total nominal value increased to 409.1 billion in 2009/10 from Shs. 32.8 billion in 2005/06. The value of charcoal and firewood consumption went up by more than 10 times during the same period. Table 1.3.3: Household consumption of firewood and charcoal (Mill. Shs) Item 1996/97 2002/03 2005/06 2009/10 Charcoal 4,076 6,936 9,345 98,699 Firewood 13,967 20,677 23,425 310,440 Total 18,043 27,613 32,770 409,139 Source: UBOS 1.3.4 Production of Round Wood The quantity and value of round wood produced in Uganda for the last five years is shown in Table 1. 3.4 below. In 2016, Uganda produced 50.2 million tonnes of round wood worth about Shs 972 billion, registering an increment of 10.9 percent in value (Statistical Appendix Table 1.2 A and 1.2 B). Table 1.3.4: Production of Round Wood (‘000s tonnes), 2012 to 2016 Category Quantity ('000 tones) Value (Mill. Shs) 2012 2013 2014 2015 2016 42,889 44,707 46,603 48,581 50,168 571,643 690,608 773,969 876,789 972,101 Source : National Forest Authority 5 1.4 Climate 1.4.1 Rainfall and Rain-days This section presents the Long Term Average and Monthly rainfall pattern during 2015 for seven (7) centres in the country as shown in Appendix Table 1.4 A. Detailed presentation is made for five selected centres which include Lira, Mbarara, Tororo, Kampala and Entebbe. The section further presents information on the monthly rain-days in four (4) centres. It should be noted that data for some centres in the Appendix Tables 1.3 A and 1.4 B is missing because some instruments were not properly functioning. Rainfall Lira received a total of 1,278 millimetres of rainfall in the year 2016 (Appendix Table 1.4A). A monthly rainfall pattern similar to that of the long term average was received in Lira for most of the months in the referenc e year except for July, August and September. The highest amount of rainfall at the centre was received in May (228mm) followed by April (219mm) while the least amount of precipitation was in February (23mm). Overall, the monthly rainfall for Lira centre in 2016 was lower than the long term average for the years. Figure 1.3 (a): Lira 2016 Monthly and Long term average Rainfall 250 Millimeters 200 15 0 10 0 50 0 Jan Fe b Mar A pr May Long term Average J un J ul A ug Sep Oc t N ov Dec 2016 Mbarara received a total of 744.6 millimetres of rainfall in 2016 (Appendix Table 1.4A) with the rainfall pattern being similar to that of the long term average during the periods January – April, July - September and November-December. During 2016, the highest amount of rainfall (135 mm) in the area was received in the month of April while the least amount was in the month of July (2.7 mm). The centre received generally lower rainfall than the long term averages in most months of the year 2016. 6 Figure 1.3 (b): Mbarara 2016 Monthly and Long term average rainfall 160 140 Millimeters 120 100 80 60 40 20 0 Jan Feb Mar Apr May Jun Jul Aug Long term Average Sep Oct Nov Dec 2016 Tororo received a total of 1,079.8 millimetres of rainfall in 2016, with the rainfall pattern similar to that of the long term average during January – April and October – December. The centre recorded only two (2) months with generally higher rainfall than the long term average. The highest amount of rainfall (246.1 mm) in the area was received in the month of April while the lowest was in January (28.1 mm). See Figure 1.3 (c) and Statistical Appendix Table 1.4 (A). Figure 1.3 (c): Tororo 2016 Monthly and Long term Rainfall 300 250 Millimeters 200 150 100 50 33.5 0 Jan Feb Mar Apr May Long term Average Jun Jul Aug Sep Oct Nov Dec 2016 The total amount of rainfall received in Kampala during 2016 was 1,255.3 millimetres. The city area received lower monthly rainfall amounts than the long-term average for most of the months in the year. The highest amount of rainfall (246.1 mm) was received in April while the lowest was received in July (2.2 mm). See Figure 1.3.1 (d) and Statistical Appendix Table 1.3 (A). 7 Figure 1.3 (d): Kampala 2016 Monthly and Long term Rainfall 350 300 Millimeters 250 200 150 100 50 0 Jan Feb Mar Apr May Jun Jul Aug Long term Average Sep Oct Nov Dec 2016 Entebbe area received a total precipitation of 1621.1 millimeters 2016. The town generally received slightly higher amounts of rainfall than the long-term average for most of the months in the year. The highest amount of rainfall (404.6 mm) was received in April while the lowest was received in July (3.9 mm). See Figure 1.3.1 (d) and Statistical Appendix Table 1.4A. Figure 1.3 (d): Entebbe 2016 Monthly and Long term Rainfall 450 400 350 Millimeters 300 250 200 150 100 50 0 Jan Feb Mar Apr May Long term Average Jun Jul Aug Sep Oct Nov Dec 2016 Rain Days Rain days are important in knowing the distribution of number of days on which it rained within the different months of the year. During 2015, the four centres had total rain-days as follows: Lira (132 rain-days), Entebbe (121 rain-days), Tororo (138 rain-days) and Kampala (122 rain-days). See Appendix Table 1.4B. Monthly distribution of rain-days in the four centres indicate that Entebbe had the highest number of rain-days in the months of January, March, April and May. Kampala had the highest in February, November and December while Tororo had the highest number in the months of August, September and October as shown in figure 1.3.1(e). 8 Figure 1.3 (e): Monthly distribution of rain-days in Selected centres in 2015 24 21 20 20 Number of rain-days 20 18 20 18 18 18 16 16 16 15 13 13 11 10 11 9 88 7 15 13 10 8 15 15 14 11 12 16 11 12 11 11 11 8 7 6 10 5 4 4 4 4 2 1 4 2 1 0 0 0 Jan Feb Mar Apr May KAMPALA Jun LIRA Jul Aug ENTEBBE Sep Oct Nov Dec TORORO 1.4.2 Temperature The mean daily maximum temperatures for the different months at the six different regional centres were generally highest at the beginning of the year (January to March) but declined gradually in April and May of 2016. Between June and December, the temperature kept rising and falling though below those experienced in the first three months. Entebbe experienced the lowest mean maximum temperature while Kasese had the highest mean maximum temperature in the same year as seen in Figure 1.4(a) below and Appendix Table 1.4(c). Figure 1.4(a): Long term mean maximum temperature for selected centres, 2016 34 Degrees celcius 32 30 28 26 24 Jan Feb Mar Arua Apr Entebbe May Jun Gulu Jul Aug Jinja Sep Kampala Oct Nov Dec Kasese 9 The mean daily minimum temperature for selected centres shows that Arua and Jinja had the lowest mean daily minimum temperatures while Gulu had the highest mean daily minimum temperature during 2016. The trend for long term mean minimum temperature is generally similar for all centres. It increases from January to March and then deccreases from April to July. It later rises from August to November before finally decreasing in December. This trend is slightly different for Kampala station (See Figure 1.4(b) and Appendix Table 1.4(c)). Degrees celcius Figure 1.4 (b): Long term Mean minimum temperature for selected centres, 2016 21 20 19 18 17 16 15 14 13 12 11 Jan Feb Mar Arua Apr May Entebbe Jun Gulu Jul Aug Jinja Sep Oct Nov Kampala Dec Kasese 1.4.3 Humidity Monthly mean relative humidity in the Morning (06.00 hours) and Afternoon (12.00 hours) generally continued to be in-line with the long term average for all the selected centres (Statistical Appendix Table 1.4D. Figure 1.4 (c) below. Entebbe and Jinja continued to experience a generally high mean relative humidity at 06:00 hrs throughout 2016 ranging between 65 and 88 percent. Gulu generally recorded the lowest mean relative humidity at 06:00 hours during the year. Figure 1.4 (c): Long term mean Relative Humidity at 06:00 hours for selected centres, 2016 87 Percentage 82 77 72 67 62 57 52 47 Jan Feb Mar Apr May ENTEBBE Jun GULU Jul Aug JINJA Sep Oct Nov Dec KASESE 10 Figure 1.4 (d) shows the long term mean relative humidity at 12:00 hours for selected centres. Entebbe continued to experience the highest long term mean relative humidity at 12:00 hours throughout 2016 ranging from 63.0 to 70 percent. Gulu with 33 percent in January had the lowest mean relative humidity at 12:00 hours in the year. Figure 1.4 (d): Long term mean Relative Humidity at 12:00 hours for selected centres, 2016 11 1.5 Water Supply 1.5.1 Metered water National Water and Sewerage Corporation (NWSC) remains the main provider of metered water in Uganda. It had a capacity utilisation of 71.3 percent as a result of an average production of 244,550 m3 per day from a practical capacity of 343,196 m3 per day in 2013. In 2014/15, NWSC operated in 43 towns, which was an increment of about 9.3 percent from the 39 towns in 2013/14 (Statistical Appendix Table 1.5A). During the 2015/16, water production was 105.5 million cubic metres compared to 99.6 million cubic metres produced in the 2014/15 hence an increment of about 5.9 percent. Lyantonde and Kyotera registered the highest increments in water production of more than 100 percent. Out of the 105.5 million cubic metres produced in 2015/16, 97.3 percent (102.8 million m3) was supplied: of which, 73.9 million m3 was sold, implying a billing efficiency of 70.1 percent (Statistical Appendix Table 1.5C). 1.5.2 Unmetered water The Directorate of Water Development (DWD) also supplies water especially in the rural areas and small towns through the provision of boreholes and other safe water sources. Over the years, there has been increase and decrease in the amount of water supplied by DWD. There was a reduction in water supply from 2.6 million cubic metres in 2014/15 to 0.47 million cubic metres in 2015/2016 (see Figure 1.5). This is mainly attributed to the delay by some centres in reporting. In addition, supply in some town council has been taken over by NWSC. Figure 1.5: Trends in water supplied for small towns, 2010/11 – 2015/16 4.5 Million Cubic Metres 4 3.5 3 2.5 2 1.5 1 0.5 0 2010/11 2011/12 2012/13 2013/14 Year 12 2014/15 2015/16 CHAPTER TWO DEMOGRAPHIC STATISTICS 2.1 Population 2.1.1 Population Trends Figure 2.1.1 shows that, the population increased from 9.5 million in 1969 to 34.6 million in 2014. Between 2002 and 2014, the population increased from 24 million to about 35 million representing an average annual growth rate of 3.0 percent. The population is projected to be 37.7 million by Mid-year 2017. Figure 2.1.1: Census population, 1969 - 2014 and Projected Mid-Year Population, 2016 and 2017 Furthermore, the current population growth rate declined from 3.2 percent in 2002 to 3.0 percent in 2014, with an average annual increase of about one million persons. The highest average annual growth rate (3.9 percent) was observed during the intercensal period between 1959 and 1969. Table 2.1: Census population, average annual population changes and growth rates, 1911-2014 Census year Male Female Total Intercensal Average Annual Period Increase (000’s) Average Annual Growth Rate (%) 1911 1,116,903 1,349,422 2,466,325 1921 1,320,286 1,534,322 2,854,608 1911-1921 39 1.5 1931 1,707,437 1,834,844 3,542,281 1921-1931 68 2.2 1948 2,481,394 2,477,126 4,958,520 1931-1948 83 2.0 1959 3,283,222 3,253,394 6,536,616 1948-1959 143 2.5 1969 4,812,447 4,722,604 9,535,051 1959-1969 300 3.9 1980 6,259,837 6,376,342 12,636,179 1969-1980 262 2.7 1991 8,185,747 8,485,558 16,671,705 1980-1991 367 2.5 2002 11,824,273 12,403,024 24,227,297 1991-2002 647 3.2 2014 17,060,832 17,573,818 34,634,650 2002 - 2014 882 3.0 Source Uganda Bureau of statistics. 13 2.1.2 Population of Special Interest Age Groups Table 2.1.2 shows that, the highest proportion of Uganda’s population is young (under 18 years) constituting more than half (55 percent) of the population in 2014. It increased from 51 percent in 1969 to 56 percent in 2002 and slightly dropped to 55 percent in 2014. One in five persons of the population is of primary school going age (6-12 years). On the other hand, the proportion of older persons aged 60 years and above decreased from six percent in 1969 to about four percent in 2014. Table 2.1.2 Percentage Distribution of the Population by Special Interest Groups, for the censuses; 1969-2014 and 2017 projection Age Category 1969 1991 2002 2014 2017 Less than 18 Years 51.4 53.8 56.1 55.0 54.1 6 – 12 Years 22.7 22.3 21.9 21.3 20.6 10 – 24 Years 27.8 33.3 34.2 31.7 35.2 13 – 19 Years 12.9 15.8 16.3 17.1 17.2 15 – 24 Years 16.2 20.0 19.9 20.6 21.5 18 – 30 Years 21.7 23.6 22.3 22.5 22.9 5.8 5.0 4.6 4.1 3.7 60 Years or More Source Uganda Bureau of statistics. 2.1.3 Population in Urban Areas In Uganda, the definition of urban areas has changed over time. The 2002 and 2014 Censuses defined urban areas as comprising of only gazetted urban areas while in the earlier censuses, both the gazetted and ungazetted urban areas with more than 1,000 people were considered. Figure 2.1.3 shows that, the urban population increased from less than one million persons in 1980 to about 2.9 million in 2002, representing a nearly threefold increase and further increased to 7.4 million by 2014. The higher increase can be attributed to four factors, including; gazetting of new urban areas, natural growth, redemarcation of the boundaries of selected urban areas and rural - Urban Migration. 14 Figure 2.1.3: Urban Population by Census Year 2.1.4 Fertility The Total Fertility Rate (TFR) which refers to the average number of children that would be born alive to a woman during her lifetime if she were to pass through her childbearing years conforming to the age-specific fertility rates of a given period. Figure 2.1.4 shows that the fertility levels in Uganda have declined over time. The TFR declined from 7 children per woman to 5 children per woman between 1995 and 2016. Figure 2.1.4: Fertility Trends, 1995- 2016 2.1.5 Mortality Figure 2.1.5 presents the trend of Infant Mortality Rate (IMR) and Under Five Mortality from 2000 to 2016. Infant mortality is the probability of dying between birth and exactly one year of age expressed per 1,000 live births while Under Five Mortality is the probability of dying between birth and less than five years of age expressed per 1,000 live births. Infant and Under Five Mortality rates between 2000 and 2016, declined by 15 more than half, dropping from 88 to 43 deaths per 1000 live births and from 152 to 64 deaths per 1,000 live births respectively. Figure 2.1.5: Infant and Under Five Mortality Trends, 2000- 2016 2.1.6 Life Expectancy at Birth Life expectancy at birth is an estimate of the average number of years a person is expected to live if a particular pattern of mortality is maintained. Table 2.1.3 shows that, overall life expectancy at birth in 2014 was 63.3 years. As expected, males registered a lower life expectancy of 62.2 years compared to their female counterparts of 64.2 years. Between 2002 and 2014 there was a gain of about 13 years in life expectancy which could be attributed to the improvement in the childhood mortality rates. Table 2.1.3: Life Expectancy at Birth by Census Year, 1969- 2014 Census Year Male Female Total 1969 46.0 47.0 46.5 1991 45.7 50.5 48.1 2002 48.8 52.0 50.4 2014 62.2 64.2 63.3 Source Uganda Bureau of statistics. 16 2.2 Education This section presents key indicators on education as derived from the Annual School Census. 2.2.1 Primary School Education 2.2.1.1 Key Indicators Primary school enrolment increased from about 8.3 million in 2012 to about 8.7 million pupils in 2016 as shown by Table 2.2.4. However, 2014 registered the highest enrollment of 8.8 million in the five year period under review. As a result GER was 117 in 2014 but fell to 109 in 2015. NER stood at 91 percent in 2015 compared to 97 percent in 2014. For futher details regarding primary education at district level, refer to Statistical Appendix Table 2.2 A -G. Table 2.2.4: Key Primary Education Indicators, 2012-2016 Indicator 2012 2013 2014 2015 2016 Gross Enrolment Ratio 115 113 117 109 - Gross Intake Ratio 133 130 148 152 - Net Intake Ratio 60 60 59 65 - Net Enrolment Ratio (Total) 96 96 97 91 - Pupil Teacher Ratio 49 46 46 43 43 Pupil Classroom Ratio 57 57 58 63 54 Pupil Stance Ratio 36 63 53 52 47 Enrolment (‘000) 8,329 8,459 8,773 8,264 8,656 Male 4,158 4,219 4,377 4,122 4,294 Female 4,171 4,240 4,395 4,142 4,361 2.8 1.6 3.7 -5.8 4.7 17,682 18,079 18,408 18,889 19,718 171 185 191 193 203 Number of classrooms 145,390 148,711 149,591 131,325 160,381 Number of Toilet Stances 234,073 133,367 165,791 159,130 182,576 - - 7,297 7,463 7,618 % Annual change in Enrolment Number of Schools Number of Teachers (‘000) Population (6 - 12 years) Male - - 3,691 3,790 3,887 Female - - 3,606 3,673 3,731 Source: Ministry of Education and Sports 2.2.1.2 Pupil Enrolment by class Generally, the enrolment was higher in lower classes (P1 to P5) and it gradually reduces as pupils’ progress to higher classes across the 7 years (details in Statistical Appendix Table 2.2 C show enrolment by and sex). 17 Table 2.2.5: Primary School Enrolment by class, 2012-2016 Class P1 2012 1,877,801 2013 1,883,803 2014 1,932,489 2015 1,842,006 2016 1,888,847 P2 1,284,122 1,307,745 1,349,233 1,277,974 1,352,893 P3 1,291,268 1,312,592 1,362,786 1,283,194 1,349,293 P4 1,299,994 1,317,315 1,359,448 1,272,522 1,328,035 P5 1,118,900 1,138,789 1,178,273 1,101,698 1,156,465 P6 892,338 920,045 963,083 901,939 958,298 P7 Total 564,217 579,431 627,343 584,984 622,093 8,328,640 8,459,720 8,772,655 8,264,317 8,655,924 Source: Ministry of Education and Sports 2.2.1.3 Orphans In 2016, about 12.4 percent of pupils enrolled were orphans;. The proportion of orphaned pupils among primary school pupils has steadily declined over the period under review as shown in Table 2.2.6. Table 2.2.6: Year/Sex Orphans in Primary School by Sex, 2012 - 2016 Share of orphans to total Male Female Total 2012 635,975 620,197 1,256,172 15.1 2013 628,287 609,144 1,237,431 14.6 2014 587,868 568,988 1,156,856 13.2 2015 485,475 471,497 956,972 11.6 2016 543,791 529,778 1,073,569 12.4 Enrolment Source: Ministry of Education,and Sports 2.2.1.4 Education Facilities More than two thirds of pupils attending primary school had adequate sitting space. Furthermore, a lower proportion of pupils in lower classes had adequate space compared to those in upper classes. Table 2.2.7: Primary school pupils with adequate sitting space by class, 2016 Class Share of pupils with adequate Enrolment in 2016 Pupils with adequate space P1 1,888,847 1,049,698 55.6 P2 1,352,893 851,540 62.9 P3 1,349,293 906,111 67.2 P4 1,328,035 942,026 70.9 P5 1,156,465 865,432 74.8 P6 958,298 752,342 78.5 622,093 528,593 85.0 8,655,924 5,895,742 68.1 P7 Total Note: Adequate sitting space refers to at most three pupils per standard desk Source: Ministry of Education and Sports 18 space total Enrolment 2.2.1.5 Primary Leaving Examinations (PLE) Performance Passing PLE in Division I-IV is a requirement for entry into secondary education. Table 2.2.8 indicates 87 percent of pupils passed PLE in 2016, yielding a performance index of about 55 percent. Specifically, male pupils recorded a higher performance index of 58 percent compared to that of females of 52 percent. Table 2.2.8: Primary Leaving Examination performance, 2016 Indicator Male Female Total Pupils who registered 310,837 328,200 639,037 Pupils Who Sat for PLE 303,382 318,914 622,296 Pupils who passed PLE 270,046 271,040 541,086 Division I 37,265 26,134 63,399 Division II 129,647 122,136 251,783 Division III 59,320 69,934 129,254 Division IV 43,814 52,836 96,650 Division U 33,336 47,874 81,210 Division X 7,455 9,286 16,741 Pass Rate (Percent) 89.0 85.0 86.9 Performance index* 57.7 52.0 54.8 The Performance index measures the quality of passing at all levels of education Source: Uganda National Examinations Board 2.2.1.6 Primary School Completion and Transition Rate The primary school completion rate is the percentage of pupils completing the last year of primary school. Table 2.2.9 shows that only 62 percent of the pupils who were enrolled into Primary seven (P.7), completed. The transtition rate to Senior one (S.1) was 65 percent in 2016, an increase from 63 percent in 2015. Table 2.2.9: P.7 completion and Transition rates to S.1 by years SEX P.7 Completion rate Boys 2012 67.00 68.00 2013 67.40 68.00 2014 72.00 72.00 2015 61.60 59.80 2016 61.50 59.70 Girls 66.00 67.00 72.00 63.30 63.40 Transition rate to S1 66.00 72.20 70.50 63.20 64.80 Boys 68.00 72.30 70.50 62.80 64.40 Girls 65.00 72.00 70.50 63.60 65.20 Source: Uganda National Examination Board 2.2.1.7 Teachers’ qualification Two-thirds (66 percent) of primary school teachers were Grade III Teachers followed by those with a Diploma in Primary Education (17 percent) while 2 percent were licenced (table 2.2.10). about 57 percent of primary school teachers were males while 43 percent were females in 2016. 19 Table 2.2.10: Primary teachers by level of qualification and sex, 2016 Sex Teacher Qualification Female DPE (Diploma in Primary Education) 12,370 percentage to total number Male Total of teachers 17,732 30,102 16.5 Grade II Teacher 507 468 975 0.5 Grade III Teacher 52,267 68,758 121,025 66.2 Grade IV Teacher 1,353 1,590 2,943 1.6 Grade V Teacher including DSNE, DSE,DTE 4,051 6,391 10,442 5.7 Graduate Teacher 2,738 4,537 7,275 4.0 Licensed Teacher* 1,165 1,637 2,802 1.5 Other Training 3,389 3,876 7,265 4.0 77,840 104,989 182,829 100.0 Total *Teachers without qualification but who over time have gained teaching experienced and have thus been granted formal permission by government to teach The data excludes those who did not indicate their level of education. Source: Ministry of education and sports. 2.2.2 Secondary School Education 2.2.2.1 Key Indicators Table 2.2.11 shows a general increase in secondary school enrolment (about 14 percent was registered between 2015 and 2016). The table further indicates that the Student Teacher Ratio (STR) remained the same at 22 over the period under review (2012-2016) with a decline between 2012 and 2013. See details in Statistical Appendix Tables 2.2 K – M by district). Table 2.2.11: Key Secondary School Education Indicators (2012 – 2016) Indicator 2012 2013 2014 2015 2016 Gross Enrolment rate 28 29 30 25 - Net Enrolment rate 24 26 26 22 - Student Teacher Ratio 30 22 22 22 22 Student Classroom Ratio 50 55 50 52 51 Student Stance Ratio 25 44 37 35 - 1,252 1,362 1,391 1,284 1,457 Male 671 727 738 675 765 Female 581 635 653 609 692 Enrolment (000) % Annual change in enrolment - 8.9 2.1 -7.7 13.5 2,612 2,838 2,950 2,695 3,070 Number of Teachers 55,270 61,505 63,957 58,051 66,542 Number of classrooms 25,076 28,242 27,706 25,888 27,239 Number of Schools Some variations are due to the fluctuation in the number of school returns received per year Source: Ministry of Education and Sports 20 2.2.2.2 Student Enrolment by class Table 2.2.12 below indicates that 1,457,277 students were enrolled in school at secondary level in 2016. However, this enrolment was generally higher in lower classes butand this gradually reduced for higher classes: for futher details refer to Statistical Appendix Table 2.2 E. Table 2.2.12: Year Secondary School Enrolment by Class, 2012-2016 S1 S2 S3 S4 S5 S6 Total 2012 317,286 296,297 259,003 216,754 87,549 74,618 1,251,507 2013 346,537 305,501 284,919 250,274 85,760 89,448 1,362,439 2014 348,701 327,016 289,219 268,253 76,649 81,412 1,391,250 2015 326,591 299,262 279,851 242,248 70,317 65,739 1,284,008 2016 358,724 346,050 317,329 276,810 81,253 77,111 1,457,277 Source: Ministry of Educationand Sports , 2012-2016 2.2.2.3 Orphaned Students Table 2.2.13 indicates that 235,443 students were orphans in 2016, with more male than females. Furthermore, the proportion of orphaned secondary school students declined by 0.7 percent in 2016. However, in comparison to previous years, the proportion of orphaned students was much higher with 2012 haing the highest of about 20 percent. Table 2.2.13: Orphans in Secondary School by Sex, 2012-2016 Year Male Female Total share of orphans to total enrolment 2012 124,669 118,866 243,535 19.5 2013 132,600 125,883 258,483 18.9 2014 133,131 127,220 260,351 18.7 2015 109,741 106,579 216,320 16.8 116,017 235,443 16.1 2016 119,426 Source: Ministry of Education and Sports 2.2.2.4 Teachers’ Qualification In 2016, most of the secondary school teachers (52 percent) were graduates followed by Grade V teachers (42 percent) while only four percent were licenced teachers as shoen in table 2.2.14. Regardless of the qualification, there are more male (75 percent) compared to female teachers (25 percent). 21 Table 2.2.14: Secondary teachers by level of qualification and sex, 2016 Qualification Sex Percentage Male Female Total Grade V Teacher including DSNE, DSE,DTE 18,965 5,349 24,314 42.0 Graduate Teacher 21,640 8,299 29,939 51.7 Licensed Teacher* 552 88 640 1.1 Other Training* Total** 2,468 586 3,054 5.3 43,625 14,322 57,947 100.0 * Teachers without qualification but who over time have gained teaching experienced and have thus been granted formal permission by government to teach ** Not all teachers’ qualifications were submitted hence the variance from total number of teachers reported Source: Ministry of Education and Sports 2.2.2.5 UACE and UCE Performance Table 2.2.15 below indicates that 96 percent of the 316, 624 students who sat for Uganda Certificate of Education (UCE) exams in 2016 passed. The pass rates and performance index were higher for male students 97 percent and 40 percent, respectively compared to their female counterparts 95 percent and 38 percent, respectively. Table 2.2.15: Uganda Certificate of Education (UCE) results by grade and sex, 2016 Characteristics Sex Male Female Total Students who registered 164,473 158,722 323,276 Students Who Sat for UCE 161,346 155,278 316,624 Pass Rate 97 95 96 Performance Index 40 38 39 Pass Rate is the percentage of pupils/students that passed exams at a given level of education. Performance index is a measure of the quality of passing at all levels of education. Source: Ministry of Education and Sports Table 2.2.16 shows that 86 percent of the 102,858 students who sat Uganda Advanced Certificate of Education (UACE) exams in 2016 passed, with a majority attaining 3 principal passes (39,844). Furthermore the pass rate was higher among females (89 percent) compared to males (84 percent) at ‘A’ Level. 22 Table 2.2.16: Uganda Advanced Certificate of Education (UACE) results by grade and sex, 2016 Sex Characteristics Male Female Total Students who registered 61,820 42,496 104,316 Students Who Sat for UACE 60,804 42,054 102,858 1,016 442 1,458 3 Principal passes 21,305 18,539 39,844 2 Principal passes 16,404 11,447 27,851 1 Principal passes 13,634 7,405 21,039 Total 51,343 37,391 88,734 8,507 4,299 12,806 954 364 1,318 9,461 4,663 14,124 Pass Rate 84 89 86 Performance Index 60 68 64 Students Who didn’t sit for UACE Students who passed Students who failed 1 Subsidiary Failure Total Source: UNEB/Ministry of Education and Sports 2.2.2.6 Transition Rates to Senior Five O’ Level Secondary completion rate is computed as the total number of students in the fourth grade of secondary education divided by the total number of children of official completion age (16 years). It captures the transition rate from the Ordinary level of secondary to the Advanced level of secondary education. Table 2.2.17 shows that the transition rate to S.5 in 2016 was only 30 percent an increase from 25 percent in 2015. In both instances, male students were more likely to complete S.4 as well as transition to S.5 compared to their female counterparts. Table 2.2.17: S.4 completion and Transition rates to S.5, 2012-2016 SEX 2012 2013 2014 2015 2016 35.5 35.3 35.8 36.2 37.8 Boys 37.6 36.7 36.4 36.4 39.6 Girls 33.5 33.8 33.9 35.9 36.0 34.0 32.0 30.0 25.0 30.2 Boys 39.0 37.0 33.6 28.1 31.0 Girls 29.0 27.0 25.9 21.4 29.4 Senior 4 Completion rate Transition rate to S.5 Source: UNEB/Ministry of Education and Sports 2.2.3 Tertiary Education Table 2.2.18 indicates that in 2016 the enrolment at Tertiary level was 258,866 of which 72 percent were in Universities. The proportion of males (56 percent) enrolled in higher institutions of learning was higher than that of females (44 percent). In terms of trends, enrollment at the Tertiary level increased signnificantly by 31 percent from 198,066 in 2012 to 258,866 students in 2016. 23 Table 2.2.18: Tertiary Enrolment by Sex, 2012-2016 Percentage in Institution type 2012 2013 2014 2015 2016 2016 All tertiary Institutions 198,066 201,376 250,621 257,855 258,866 100.0 Males 111,831 113,688 139,727 143,212 144,314 55.7 86,235 87,572 110,894 114,643 114,552 44.3 198,066 201,376 250,621 257,855 258,866 100.0 140,096 140,403 180,360 185,315 186,412 100.0 Males 78,817 79,709 100,525 103,280 104,432 56.0 Females 61,270 60,398 79,835 82,035 81,980 44.0 70.7 69.7 72.0 71.9 72.0 Females Total Of which, Universities % enrolled in universities Source: Ministry of Education and Sports The Business Technical Vocational Education and Training (BTVET) sector aims at addressing the technical skills gap in the country and provides skills to persons that completed or dropped out of school (at any level) as well as unemployed youths. There were 129 BTVET institutions in which 63,209 students were enrolled, with more male (36,960) than female (26,249) students as shown in Table 2.2.19 below. Table 2.2.19: Number of BTVET institutions and enrolment by type and sex, 2012-2016 BTVET Institutions, total Government Private Enrolment, total 2012 2013 126 118 110 103 16 15 2014 2015 2016 118 119 129 103 103 115 15 16 14 34,380 42,674 39,712 40,830 63,209 Male 21,499 28,024 25,485 26,338 36,960 Female 12,881 14,650 14,227 14,492 26,249 BTVET includes Community Polytechnics, Farm Schools, Health/Nursing Inst., Specialized Inst. Technical Inst., Technical Schools, Voc. Inst/School 2.2.4 Literacy Literacy is the ability to read and write meaningfully in any language. The literacy rate among persons aged 10 years and above has generally increased over time from 2002 to 2015 with about seven (7) in ten (10) of the persons literate. Females were found to be more literate than their male counterparts with a literacy rate of 77 in 2002 percent and 66 percent in 2014, respectively. 24 2.2.5 The National Assessment of Progress in Education (NAPE) competence scores The National Assessment of Progress in Education (NAPE) tests for pupils competencies in Literacy and Numeracy for primary pupils while for secondary students assessment was on Biology, mathematics and English to determine how well students are learning. Table 2.2.20 shows an increasing trend in the literacy rate for P.3 pupils although there was a decline from 2014 to 2015 by 4 percent with girls having a higher rate. On the other hand, the P.6 Literacy rate has declined though a 12 percent increase was observed 2014 to 2015. The Numeracy rate for P.3 pupils reduced drastically by about nine percent from 2012 to 2013 then increased to 72 percent. However, a notable decline was observed in the Numeracy rate for P.6 pupils from 46 percent in 2012 to 39 percent in 2016. Table 2. 2.20: NAPE Competence Scores for Primary by class (P.3 and P.6) Sex Competency in literacy at P.3, Total 2012 2013 2014 2015 2016 53.8 56.2 64.2 60.2 - Boys 52.1 53.9 62.0 59.0 - Girls 55.6 56.4 66.5 61.3 - 40.8 40.2 38.3 51.9 - Boys 39.6 38.7 37.8 51.6 - Girls 42.0 40.1 38.7 52.2 - Competency in literacy at P.6, Total Competency in numeracy at P.3, Total 72.8 63 69.9 69.8 72.7 Boys 74.1 65 71.3 70.6 73.9 Girls 71.7 61 68.4 68.8 71.4 54.8 45.6 45.2 41.4 39.4 Boys 57.9 49.6 49.7 45.8 44.2 Girls 52.1 41.7 40.9 37.4 35.0 Competency in numeracy at P.6 , Total Source: NAPE/UNEB At Secondary level, the NAPE scores revealed that 21 percent of the students were proficient in Biology with more males in 2014 as seen in Table 2.2.21. Only 4 in every 10 students were rated proficient in mathematics, a five percent decline from 2013. There was however an increase in English proficiency to 49 percent in 2014. Table 2.2.2.1: NAPE Competence Scores for S.2 by subject Sex Biology Total Boys Girls Mathematics, Total Boys Girls English language Total Boys Girls 2012 17.7 23.6 10.7 43.3 50.8 34.3 48.3 50.0 46.3 2013 14.5 19.9 9.2 46.1 53.0 41.0 43.1 40.9 45.3 Source: NAPE/UNEB 25 2014 20.5 26.9 13.4 41.5 48.7 33.2 49.3 49.9 48.6 2.3 Labour Market Statistics Labour market statistics relate to both persons and businesses. This section presents Statistics of employment, unemployment, economic inactivity, underutilisation, skills, job vacancies, earnings, productivity and the general demand for labour. 2.3.1 Work and Employment concepts The 19th International Conference of Labour Statisticians (ICLS) held in October 2013, differentiated between employment and work. The recent definitions have been applied in the analysis of some of the surveys such as the 2012/13Uganda National Household Survey (UNHS). Therefore, the information presented according to ICLS 2013 definitions may not be directly comparable with that collected from previous surveys and presented in earlier Statistical Abstracts. Under the current definitions, work comprises any activity performed by persons of any sex and age to produce goods or to provide services for use by others or for own use. The concept of work is aligned with the general production boundary as defined in the System of National Accounts 2008 (2008 SNA) basing on an economic unit as, (i) market units, (ii) non-market units and (iii) households producing goods or services for own final use. 2.3.2 Key Labour Market Indicators of Working Population The distribution of Uganda’s working population according to the UNHS 2012/13 is presented in Table 2.3.1. Out of the working age population of 16.5 million, the total working population was estimated at 13.9 million of which 51 percent were female. Among the working population, 6.0 million were in subsistence agriculture. Table 2.3.1: Key Labour Market Indicators of Working Population (14-64 years) by sex and residence, 2012/13 Sex Residency Selected Labour Market Indicators Total Male Female Rural Urban Working age population 7,850 8,652 12,289 4,213 16,502 Working population 6,827 7,069 10,732 3,162 13,896 Subsistence agriculture workers 2,517 3,493 5,345 664 6,009 36.9 49.4 49.8 21.0 43.2 Percentage in subsistence agriculture only Source: UBOS As presented in Table 2.3.2, majority of the working population was residing in the rural areas (77 percent) while only 23 percent were staying in the urban areas. The regional disaggregation of the population shows the Eastern region as having the highest proportion of the working population (28 percent), while the Northern region had the lowest. Kampala City had four percent of the working population. Overall, the working population increased by 26 percent between the 2009/10 UNHS and 2012/13 UNHS surveys. 26 Table 2.3.2: Distribution of the working population by selected characteristics (14-64 years), UNHS 2009/10 and UNHS 2012/13 2009/10 2012/13 Percentage change Number (‘000) Percent Number (‘000) Percent Male 5,195 47.2 6,827 49.1 31.4 Female 5,811 52.8 7,069 50.9 21.6 Rural 8,915 81.0 10,732 77.2 20.4 Urban 2,091 19.0 3,164 22.8 51.3 Background Characteristics Sex Residence Region Kampala 781 7.1 507 3.6 -35.1 Central 2,498 22.7 3,201 23.0 28.1 Eastern 2,928 26.6 3,890 28.0 32.9 Northern 2,091 19.0 2,944 21.2 40.8 2,708 24.6 3,354 24.1 23.9 11,006 100 13,896 100 26.3 Western Total Source: UBOS 2.3.3 Industry of the main job for the working population The 2012/13 Uganda National Household Survey revealed that agriculture employs the highest percentage of the working population (72 percent). The proportion was higher for females (77 percent) than males (67 percent), see Table 2.3.3. Trading activity was the second most prominent industry where the working population was estimated at 10 percent. The trend was similar in comparison with the UNHS 2009/10 and UNHS 2012/13 survey periods. Table 2.3.3: Distribution of Industry of the main job for working population (14-64 years) UNHS 2009/10 UNHS 2012/13 Industry Male Female Total Male Female Total Agriculture, forestry 64.4 74.5 69.6 66.8 77.0 72.0 Trade 9.1 8.3 8.7 8.9 10.1 9.5 Manufacturing 6.4 4.7 5.5 5.4 3.3 4.4 Transport and storage 4.8 0.1 2.3 4.4 0.2 2.2 Education 3.0 3.1 3.0 2.9 2.3 2.6 Construction 4.2 0.1 2.1 4.2 0.1 2.1 Hotels , restaurant e 1.0 2.9 2.0 0.6 2.4 1.5 Other service activities 2.2 1.9 2.0 2.2 1.7 2.0 Others 5.0 4.6 4.8 4.6 2.9 3.7 Total 100 100 100 100 100 100 Primary 64.4 74.5 69.6 66.8 77.0 72.0 Production 11.4 5.0 8.1 10.5 3.6 7.0 Service 24.1 20.5 22.2 22.8 19.4 21.0 Total 100 100 100 100 100 100 Broad Sectors Source: UBOS 27 2.3.4 Key Labour Market Indicators of Employed Population According to UNHS 2012/13, the total employed population was estimated at 7.9 million people which is 48 percent of the working age population as indicated in Table 2.3.4. The difference with the working population presented in Table 2.3.2 is about 6.0 million persons depicting existence of a high number of subsistence workers particularly in the Agriculture sector. Table 2.3.4: Selected Labour Market Indicators for Employed Age (14-64 years) Population Selected Labour Market Indicators Employed population Male Female Rural Urban Total 4,310 3,576 5,387 2,500 7,887 54.9 41.3 43.8 59.3 47.8 1,685 1,623 2,394 915 3,308 Employment to Population Ratio (EPR) Underutilized persons Source: UBOS The findings presented in Appendix Table 2.3.A indicate that the Labour Force Participation Rate (LFPR) was 52.8. The overall Unemployment Rate (UR) was 9.4 percent in 2012/13 with the females experiencing higher unemployment rate (11 percent) than males (8 percent). The time related underemployment rate was about 8.9 percent, skill related inadequate employment was 5.6 percent and the income related inadequate employment was 12.9 percent. Figure 2.3.1 indicates that the service sector was dominant for employed persons and constituted about 45 percent. This was followed by those in the primary sector that constituted almost one third (34 percent) of the employed persons. Figure 2.3.1: Sector of employment The findings (Appendix Table 2.3.A) further shows that about 47.4 percent of the population in employment were paid employees while 52.6 percent were self-employed. Elementary work was the most predominant 28 occupation of the employed population (38 percent) followed by service workers (27 percent) while professionals accounted for only about 2 percent of the employed population. The education level of the persons in employment was low with less than one third of the employed persons (30 percent) having attained either secondary education or post-secondary/primary specialized training. (Statistical Appendix Table 2.3.B) 2.3.4.1 Labour Underutilisation components Due to the agrarian nature of Uganda’s economy, the low rates of unemployment are expected. The population outside the formal labour force are forced to engage in some kind of work even for a few hours and at low wages especially in the informal sector. Therefore the unemployment rate derived using the international definition does not provide a real picture of the supply-demand imbalance of the labour market and adequately reflect the degree of inefficiency that prevails in the labour market. To get a clearer picture of the labour underutilisation, the unemployment rate is analysed with other forms of mal-employment; namely, insufficiency of the volume of work (time related underemployment, low remuneration (low earnings) and incompatibility of education and occupation (skills mismatch). The labour underutilisation rate was 20 percent (3.3 million persons) of the working age population. The proportion is higher among males (24 percent) compared to females (16 percent) as indicated in Table 2.3.5. The highest component of labour underutilisation was income/wage related inadequate employment (31 percent). It should be noted that unemployment contributed 25 percent of the total labour underutilization. Table 2.3.5: Share of Labour Underutilisation components (14-64 years) by sex, 2012/13 Male Female Total Labor Underutilization components Unemployment 32.2 16.1 25.4 Time related under employment 21.3 21.3 21.3 4.3 15.6 9.0 Skills related Inadequate employment 15.3 10.5 13.3 Income/wage related Inadequate employment 26.9 36.6 31.0 Total 100 100 100 1,685 1,623 3,308 24.4 15.9 19.9 Marginally attached to the labour force e.g. discouraged workers Total working age population underutilized (000's) Labour Underutilisation rate Source: UBOS 2.3.4.2 Persons in Employment Living in Poor Households The working poor are people in employment, whose expenditure (as a proxy for income) falls below the Poverty Line. According to the 2012/13 UNHS, 17 percent of the persons in employment were living in poor households (about 1.4 million persons), as shown in Table 2.3.6 below. The number was more than thrice for rural residents compared to their urban counterparts. Employed persons in primary sector (agriculture, forestry and fishing) were poorer compared to those in production and services. 29 Table 2.3.6: Proportion of the Employed Population who Live in Poor Households, 2012/13 Background characteristics Sex of household head Proportion (percent) Male 15.2 Female 19.6 Residence Rural 22.2 Urban 6.5 Sector of employment Agriculture 29.4 Production 16.5 Services 8.4 Total 17.2 Source: UBOS 2.3.4.3 Share of Women in Employment Figure 2.3.2 indicates that overall, females constituted 45.4 percent of the persons in employment. The proportion of females in paid employment was 37.3 percent while the females were the majority for persons in self-employment (52.6 percent). However, females were outnumbered in all the three sectors of production with the service sector employing the highest proportion of women (47.8 percent). Figure 2.3.2: Share of Women in Employment by Status in employment and Sector 60 52.6 Share, Percent 50 40 47.8 45.2 45.4 40.4 37.3 30 20 10 0 Paid employment Self employment Agriculture Production Status in employment Services Sector Overall 2.3.4.4 Monthly wages for paid employees, 14-64 years The 2012/13 UNHS provided information on income by individuals in paid employment. The information was collected on different modes of payment including set piece, on the basis of sales, a combination of set piece and basis of sales, in kind or any other means. The earnings of individuals were collected from all jobs in which persons were engaged. The income from the self-employment was excluded due to their predominantly informal nature and poor record keeping. Table 2.3.7 indicates that overall, the median monthly earnings increased from shs 80,000 in 2009/10 to shs. 110,000 in 2012/13. This was a 37.5 percent increase in nominal terms. However, in real terms (CPI 30 2012/13=200.2, CPI 2009/10=144.0, CPI 2005/2006=100) the median monthly earnings have almost remained the same over the survey periods. The median monthly earnings for males was more than double that of females for both nominal and real wages. Table 2.3.7: Median Monthly Wages for Persons 14-64 Years in Paid Employment, 2005/06-2012/13 Background characteristics Median wages (nominal) Male Survey year 2005/06 2009/10 2012/13 70,000 90,500 132,000 Female 36,200 54,300 66,000 Urban 90,500 142,400 209,000 Rural 45,250 54,300 75,000 Public 150,000 200,000 330,000 Private 45,200 45,250 99,000 Total 54,300 80,000 110,000 Male 70,000 63,800 65,900 Female 36,200 37,700 32,970 Urban 90,500 98,900 104,400 Rural 45,250 37,700 37,500 Public 150,000 138,900 164,900 Private 45,200 31,400 49,500 Total 54,300 55,600 55,000 Median wages (real 2005/2006=100) Source: UBOS CPI 2005/06=100, CPI 2009/10=143.99, CPI 2012/13=200.18 2.3.5 Urban Labour Force Indicators The Uganda Bureau of Statistics has been conducting annual Urban Labour Force Surveys (ULFS) since 2009. The Urban Labour Force Survey is a household-based survey that is intended to provide high quality and consistent data on Labour Market situation in the urban areas. The ULFS 2015, covered the Greater Kampala area which includes Kampala Capital City and the surrounding urban areas of Wakiso and Mukono districts. The findings were based on the current standards on statistics of work, employment and labour underutilization by 19th International Conference of Labour Statisticians adopted in 2013. As indicated in Statistical Appendix table 2.3D, the total population in the Greater Kampala area was estimated at 3.2 million in 2015 of which, two million were of working age (14-64 years). More than two thirds (69 percent) of the working age population (14-64 years) in the Greater Kampala area was working in 2015 while 66 percent was employed (1.3 million people). The Labour force of the Greater Kampala was about 1.4 million persons (72 percent of the working age population) with Kampala city’s labour force (nearly 0.7 million) being slightly less than that of Peri-urban Kampala (nearly 0.8 million). The proportion of the males in the Labour force (81 percent) was higher than that of the females (65 percent) in the Greater Kampala. The proportion of the Labour Force with at least secondary education was about 71 percent. 31 Statistical Appendix table 2.3D further shows that wage earners (employees) accounted for nearly one half of the employed population (49 percent) while own account workers was 35.4 percent and employers about 10 percent. The share of employment in non-agriculture employment was about 50.3 percent. About 25 percent of the population in greater Kampala was not economically active, that is, neither working nor actively seeking work during the month preceding the survey date with relatively higher proportion of females (32 percent) than males (16.1 percent). 2.3.6 Working Children1 The Constitution of Uganda defines a child as any person below 18 years of age. The National Labour Force and Child Activities Survey (NLF & CAS) 2011/12 showed that 39 percent of the children aged 6-17 years (4.3 million) were involved in some work in 2011/12, that is, either work only or both work and school. Table 2.3.8: Activities of children (6-17 years), 2011/12 Background Total (000’s) Work only School only Both school and work Neither school nor work Percent percent percent percent Male 5.9 54.4 33.7 6.0 100 Female 4.9 56.5 33.1 5.4 100 Urban 4.8 77.9 12.4 5.0 100 Rural 5.5 52.0 36.7 5.8 100 characteristic Sex Residence Total 5.4 55.5 33.4 5.7 100 Total Number (‘000) 605 6,197 3,736 639 11,448 Source: UBOS Child labour: Child labour refers to (i) work that is mentally, physically, socially and/or morally dangerous and harmful to children. It also includes work or activities that interfere with children’s school attendance (ii) hazardous work which by its nature or the circumstances under which it is performed, jeopardises the health, safety and morals of a child. The NLF & CAS 2011/12 also indicated that a total of 2 million children aged 5-17 years (approximately 16 percent of the total children) were engaged in child labour. In addition, about 65 percent of children were involved in household chores. (See Statistical Appendix Table 2.3 E). 1 Working children referred to persons 6-17 years of age who were involved in economic activity (the production of goods and services under SNA production boundary) for at least an hour during a reference week. 32 2.3.6 Youth Employment A youth is a person who is aged 18-30 years according to the national definition and 15-24 according to the International Labour Organisation (ILO) definition. A survey of young people was conducted in 2013 and 2015. The survey, called the School to Work Transition Survey (SWTS), targeted specific challenges young people face to access stable employment opportunities. When using the strict definition of unemployment2, the survey results showed that 74.2 percent of youth were employed and 4.9 percent were unemployed, indicating a total labour force participation rate (LFPR) of 79.1 percent in 2015 compared to LFPR of 73.6 in 2013 (Table 2.3.9). Table 2.3.9: Activity Status of Youth in Uganda (18-30 years), 2013 and 2015 Economic activity Employed Unemployed (Strict) 2013 2015 Male Female Rural Urban Total Male Female Rural Urban Total 72.5 66.3 71.8 61.9 69.1 80.4 69.6 76.8 68.3 74.5 3.8 5.1 4.1 5.6 4.5 4.3 5.8 3.9 7.8 4.9 Inactive (Strict) 23.7 28.6 24.1 32.5 26.4 15.3 24.6 19.3 23.9 20.6 Total 100 100 100 100 100 100 100 100 100 100 72.5 66.2 71.8 61.9 69.1 80.3 69.5 76.6 68.3 74.2 Relaxed framework Employed Unemployed (relaxed) 7.3 14.4 9.7 15.1 11.2 9.8 18.1 12.3 19.8 14.5 Inactive (relaxed) 20.2 19.4 18.5 23 19.7 9.9 12.4 11.1 11.9 11.3 Total 100 100 100 100 100 100 100 100 100 100 Source: UBOS The survey results showed that, in 2015, the national youth unemployment rate was 6.2 percent and relaxed definition was 16.4 percent. Relaxing the definition of unemployment altered the picture to an extent, that the difference in unemployment rates was more than twice the unemployment rate based on the strict definition of unemployment, implying that more youth were available to work but not actively seeking work. Table2.3.10: Unemployment Rates of Youth in Uganda, 2013 and 2015 2013 Sex 2015 Residence Male Female Urban Rural 5 7.2 8.2 5.5 9.1 17.8 19.6 11.9 Total Sex Residence Total Male Female Urban Rural 6.1 4.7 7.5 9.9 4.8 6.2 13.9 10.8 20.6 22.5 13.8 16.4 Youth 18-30 Strict definition Relaxed definition Youth 15-24 Strict definition 4.5 6.3 7.9 4.7 5.4 5.5 7.4 9.9 5.3 6.5 Relaxed definition 8.7 17.1 19 11.3 13.2 14 22.2 24.2 16.2 18.4 Source: UBOS 2 Refers to individuals not working at all, actively looking for work and are available for work. This is differentiated from the relaxed concept which refers to individuals not working at all and are available for work though they may not have actively taken steps to look for work during the 4 weeks preceding the interview date. 33 2.3.7 Advertised Jobs in news papers Labour demand from the enterprise as the economic unit comprises of occupied jobs and vacant jobs. The ideal source of this information on the labour demand is establishment surveys. However, UBOS compiles data on jobs advertised in the two major English Newspapers (New Vision and Daily Monitor), which is used as a proxy for demand for labour in the country3. However, it should be noted that there exist un-advertised jobs (mainly elementary occupations) as well as advertisements using other channels such as internal advertisements within institutions, website, radio, etc. 2.3.7.1 Advertised Jobs by Professional Categorisation Over the period 2011-2015, most of the jobs advertised were for professionals, followed by the technicians and associate professionals. However in 2015, the senior officials and specialised managers were the most dominant. It should be noted that jobs of professionals and associate professionals tend to require advertisement before being filled. Casual jobs may, however, be filled without advertisement although they form the majority of the new jobs created. The detailed occupations of advertised jobs are illustrated in Statistical Appendix Table 2.3 G 2.3.7.2 Advertised Jobs by Industry Over the period 2011-2015, majority of the jobs advertised were in the Public Administration sector. The share of the jobs advertised in the public administration was 59 percent in 2015 up from about 50 percent during 2013 and 2014. The results also show that 18.4 percent of the advertisements were in the social sectors of health and education during 2015 as compared to only 8.7 percent and 11.3 percent of the advertisements in 2014 and 2013, respectively as shown in Appendix Table 2.3 H. Table 2.3.11 below shows the job advertisements and the regions where the work place is situated. Overall, more than one third of the jobs advertised in 2015 had Kampala City as their designated work places. Table 2.3.11: Disaggregated Job Advertised by Region for Designated Workplace, 2014- 2015 2014 Place of work 2015 Number Proportion Number Proportion Kampala City 6,239 55.1 4,405 34.7 Central Region 1,166 10.3 1,016 8 Eastern Region 1,234 10.9 2,141 16.9 Northern Region 928 8.2 2,337 18.4 Western Region 1,721 15.2 2,625 20.7 Not stated Total 23 0.2 163 1.3 11,323* 100 12,687 100 Source: UBOS *Excludes advertised jobs of enumerators and parish supervisors for the National Population and Housing Census 2014 3 A job is captured only once even if it is advertised in more than one newspaper or more than once in the same newspaper . 34 2.3.7.3 Number of Vacancies Advertised by Education Level During the year 2015, 43 percent of the jobs advertised required diploma holders, 34 percent required degree holders while 12 percent required professional certificate holders. (See Table 2.3.12). Table 2.3.12: Disaggregated Job Advertised by Education Level Attained, 2015 Number Proportion Diploma 5,502 43.4 Degree 4,331 34.1 Professional certificate Education level 1,574 12.4 Masters 470 3.7 UCE (O level) 392 3.1 No formal education 230 1.8 UACE (A level) 70 0.6 PhD 52 0.4 Not stated Total 66 0.5 12,687 100 Source: UBOS 2.3.8 Employment in the Civil Service Employment in the civil service is composed of persons employed in the Traditional Civil Service, the teaching service (primary and secondary), police, prisons, public universities and Local Governments. The annual average size of the civil service in 2016 was 308,451 persons as indicated in Table 2.3.13. This was a slight increase (2.7 percent) compared to the size in 2015. The results indicate that there was a declining trend in the number of employees under the traditional civil service from 2012 up to 2014 which then increased slightly from 2014 to 2016. Table 2.3.13: Size of the Civil Service, 2012-2016 Groups Traditional civil service4 Teaching service 2012 24,587 156,889 2013 23,392 160,578 2014 20,273 160,824 2015 22,455 164,995 2016 22,965 159,690 Police and Prisons 42,210 45,208 44,723 49,221 53,078 Public Universities 8,987 10,071 10,175 6,379 6,453 Local Governments 49,157 54,867 56,540 57,322 66,265 281,831 294,115 292,534 300,372 308,451 Total Source: Uganda Computer Services (Ministry of Finance, Planning and Economic Development) and Ministry of Public Service. The results in Table 2.3.14 below indicate that the majority of the civil servants were in the teaching service (52 percent) while those in the public universities formed a proportion of 2 percent during 2016 and the trend was 4 Includes support staff 35 similar to 2015. However, the share of the annual average wage bill for the teaching service was 47 percent, while that of the public universities was 7 percent during 2015. Table 2.3.14: Size of the Civil Service and Wage bill, 2015 and 2016 Groups 2015 Annual Share (%) 2015 Annual Average Share 2016 Annual Average Share (%) Average 22,455 164,995 number 7.5 54.9 wage bill 25,802 85,826 (millions) (%) 14.3 47.4 number 22,965 159,690 7.4 51.8 Police and Prisons 49,221 16.4 20,829 11.5 53,078 17.2 Public Universities 6,379 2.1 12,935 7.2 6,453 2.1 Local Governments 57,322 19.1 35,510 19.6 66,265 21.5 300,372 100 180,902 100 308,451 100 Traditional civil service Teaching service Total SOURCE: Uganda Computer Services (Ministry of Finance, Planning and Economic Development) and Ministry of Public Service. 2.3.9 Emplyement and Earnings in the Selected Manufacturing and Hotel Establishments The statistics in this section are derived from data collected from 49 major manufacturing establishments out of the about 150 selected establishments for the compilation of the Index of Industrial Production (IOP) and Producer Price Index (PPI). These 49 establishments include all major manufacturing establishments that have data on both the number of employees and labour costs for the period 2014-2016 The total employment in the 49 establishments in 2016 was 9,763, which is slightly higher than the employment in 2015 as indicated in Table 2.3.15. The nominal monthly wage bill increased steadily from 2014 to 2016 from shs. 6,063 million to shs. 7,838 million in 2016 as shown in the table below. Table 2.3.15: Employment and wage bill for selected 49 manufacturing establishments 2014 2015 2016 Male Female 6,257 3,636 6,821 2,815 7,078 2,685 Total 9,894 9,636 9,763 Employment Percentage change Wage bill (Mill. Shs.) 6,063 Percentage change Average monthly earnings 613 Percentage change Source: Establishment survey, (UBOS) 36 -2.61 1.3 7,233 7,838 19.3 8.4 751 803 22.5 7.0 2.4 Household Expenditure and Poverty Wealth creation as a means of eradicating poverty is highlighted as one of Uganda’s key national development objectives. The second National Development Plan (NDP II) for the period 2015/16-2019/20 notes that whereas economic growth has improved over the years and absolute poverty reduced to 19.7percent, this growth has not generated the momentum needed to transform Uganda’s economy at the pace anticipated in Uganda Vision 2040, it is important that mechanisms are instituted to frequently monitor the changes in the welfare of the population overtime. One of the approaches is to estimate the income or expenditure of households/individuals and establish thresholds below which one is considered poor or non-poor. The latest Uganda National Household Survey (UNHS V), like all earlier surveys uses household expenditure rather than income to measure the living standards of the entire population. 2.4.1 Consumption Expenditure per Household Table 2.4.1 presents the monthly consumption expenditure per household for three surveys after adjusting for inflation. Uganda’s average household monthly expenditure in real terms, increased slightly from Ug. Shs 232,700 in 2009/10 to Ug. Shs 244,400 in 2012/13, representing a five percent increase during the period under review. Regional variations reveal that, whereas the Central, and Western regions realized increases in consumption expenditure, Kampala and the Eastern region registered a decline in real monthly consumption expenditure per household between 2009/10 and 2012/13. Table 2.4.1: Consumption Expenditure per Household (2005/06 Prices) Rural 2005/06 Urban Total Rural 2009/10 Urban Uganda Rural 2012/13 Urban Uganda Uganda 176,700 372,600 210,800 197,500 384,400 232,700 204,200 354,800 244,400 Central* 233,900 383,600 253,900 258,500 418,200 291,300 245,700 404,700 316,300 Kampala n.a 462,600 462,600 n.a 475,500 475,500 n.a 439,600 462,200 Eastern 166,600 294,300 179,000 187,000 252,000 193,400 168,000 227,500 192,300 Northern 97,300 208,900 111,800 136,900 271,500 150,200 127,400 224,800 155,700 Western 191,600 341,700 205,300 201,400 286,400 210,500 221,400 298,700 257,400 Note: Central * = Central region excluding Kampala city Source: Uganda Bureau of Statistics 2.4.2 Mean Per Capita Consumption Expenditure Table 2.4.2 presents the mean monthly consumption expenditure per capita after accounting for inflation. Overall, the mean consumption expenditure per capita increased to Ug Shs 50,900 from about Ug Shs 47,200 between 2009/10 and 2012/13. The Western region registered the highest growth in consumption per capita of 27per cent followed by Northern region (10%). The Central and Eastern regions registered an increase in mean consumption per capita of about eight percent and three percent respectively. The increase in consumption expenditure per capita was largely observed in Western-rural (15%) and Northern-rural (11%). 37 Urban areas on the other hand, did not register notable growth in consumption expenditure per capita as rural areas. Most urban areas registered a decline in mean consumption expenditure per capita. Table 2.4.2: Mean Per Capita Consumption Expenditure (2005/06 prices) Uganda Central* Rural 2005/06 Urban 33,170 47,008 81,463 85,096 40,586 51,677 Uganda Rural 2009/10 Urban Uganda 38,244 58,792 97,755 104,290 47,184 67,466 2012/13 Urban Uganda 40,283 53,567 87,213 106,214 50,892 73,060 Rural n.a 109,224 109,224 n.a 131,618 131,618 n.a 129,134 135,764 Eastern 29,007 64,733 31,803 32,978 57,930 34,892 30,257 51,136 35,906 Northern 19,019 36,505 21,518 25,786 53,049 28,400 25,361 46,001 31,140 Western 35,282 76,756 38,440 38,826 85,423 42,163 44,614 70,697 53,657 Kampala Note: Central * = Central region excluding Kampala city Source: Uganda Bureau of Statistics 2.4.3 Share of Household Expenditure by Item Group The trends in the share of each item group in the total household expenditure including non-consumption expenditures are presented in Table 2.4.3. The results show that, overall, the share of food, drinks and tobacco in total household expenditure was the highest (46 percent) and has largely dorminant over the three survey periods; followed by expenditure on rent, fuel and power (16 percent). Increases were also registered in the non-consumption; and household and personal goods categories between 2009/10 and 2012/13. Rural-urban variations show that the share of food, drinks and tobacco in rural areas remained almost unchanged while that of urban areas increased by six percentage points between 2009/10 and 2012/13. The share of the household monthly expenditure on personal goods and on non-consumption expenditure increased by about one percentage point while the share of expenditure on education and health declined by about the same magnitude. Table 2.4.3: Share of Household Expenditure by Item Groups, percentage Item group Rural 2005/06 Urban Uganda Rural 2009/10 Urban Uganda Rural 2012/13 Urban Uganda Food, drink & tobacco Clothing & footwear 49.5 3.9 34.4 3.8 44.8 3.8 50.8 3.0 31.6 3.2 44.7 3.1 51.5 2.9 37.6 3.1 46.0 3.0 Rent, fuel & energy 14.8 19.9 16.4 14.7 18.3 15.8 14.4 17.4 15.6 Household & personal goods 5.2 5.8 5.4 4.9 6.5 5.4 5.7 6.6 6.1 Transport & communication 5.6 9.6 6.8 7.1 12.2 8.7 7.0 11.8 8.9 Education 8.0 13.1 9.6 7.1 11.8 8.5 6.3 9.3 7.5 Health 7.6 4.1 6.5 6.3 4.9 5.8 5.3 4.5 5.0 Other consumption expenditure 2.0 3.9 2.6 2.6 3.9 3.0 2.3 1.9 2.1 Non-consumption expenditure 3.3 5.3 3.9 3.5 7.6 4.8 4.6 7.8 5.9 Total 100 100 100 100 100 100 100 100 100 Source: Uganda Bureau of Statistics 38 2.4.4 Poverty Trend Estimates Table 2.4.4a, presents poverty statistics for the survey year 2012/13. Three poverty indicators: namely P0, P1 and P2 (Foster, Greer and Thorbecke, 1984) are reported. The P0 indicator is “headcount”: the percentage of individuals estimated to be living in households with real private consumption per adult equivalent below the poverty line for their region (divided into rural and urban). Thus a P0 of 19.7 implies that 19.7 percent of Ugandans are estimated to live in households which spend less than what is necessary to meet their caloric requirements and to afford them a mark-up for non-food needs. The headcount shows how broad poverty is, although not necessarily how deep. That is to say, we do not know how far below the poverty line, the poor are. For this information we use the P1 or P2 indicators. The P1 indicator is the “poverty gap”. This is the sum over all individuals of the shortfall of their real private consumption per adult equivalent from the poverty line, divided by the poverty line. One way to interpret the P1 is that it gives the per capita cost of eradicating poverty, as a percentage of the poverty line, if money could be targeted perfectly. Thus if P1 is 5.2, then in an ideal world, it would cost 5.2 per cent of the poverty line per Ugandan in order to eradicate poverty through selective transfers. In practice, it is impossible to target the poor perfectly and issues such as administrative costs and incentive effects have to be considered. The P1 measure gives an idea of the depth of poverty. However, it is limited because it is insensitive to how consumption is distributed among the poor. For example, if a policy resulted in money transfer from someone just below the poverty line to the poorest person, the P1 will not reflect this. To satisfy this condition, we need the P2 measure. The P2 indicator is the “squared poverty gap”. This is the sum over all individuals of the square of the shortfall of their real private consumption per adult equivalent and the poverty line divided by the poverty line. The reason to square the shortfall is to give greater weight to those who are living far below the line. In brief, whereas P0 measures how widespread poverty is, P1 measures how poor the poor are and, by giving more weight to the poorest, P2 gives an indication of how severe poverty is. Data are disaggregated by location, residence and regions. Along with the poverty statistics, we report the percentage of people in each location, their mean household consumption per adult equivalent and the contribution each location makes to each poverty statistic (i.e. what percentage of national poverty is attributable to each location). Given that poverty statistics are estimates, it is useful to test whether changes in their values are statistically significant (Kakwani, 1990). We report t-tests of the significance of the changes in the poverty statistics between 2009/10 and the 2012/13 in Table 2.4.4a. Based on the 2012/13 survey, it was estimated that 19.7 percent of Ugandans are poor, corresponding to nearly 6.7 million persons. Table 2.4.4a provides more detailed statistics, broken down by region and ruralurban status. The poor in the rural areas represent 22.8 percent of the population compared to only 9.3 percent in the urban areas, hence the incidence of poverty remains higher in rural areas. The rural areas with about 77 39 percent of the population constitute 89 percent of national poverty. On the other hand, the urban areas represent 22.6 percent of the population and constitute11 percent of national poverty. Decomposing the total national poverty by region reveals that incidence of income poverty varies significantly. The regional ranking is consistent with the previous poverty works on Uganda. The incidence of poverty remains highest in the Northern region (44%) and least in the Central region (5%). Clearly, the incidence of poverty in the Northern and Eastern regions is much higher than the national average of 19.7 percent. Analysis of the poverty trends in Table 2.4.4a reveals that, the percentage of people living in absolute poverty declined by 4.8 percentage points between 2005/09 and 2012/13. The overall decline is statistically significant as was the case during the period between 2005/06 and 2009/10. The other poverty indicators (P1 and P2 measures) follow a similar trend as the headcount index and are equally statistically significant. The incidence of income poverty for Uganda as a whole declined between 2009/10 and 2012/13 irrespective of the indicator used (P0, P1, or P2). Table 2.4.4a: Poverty Estimate in the UNHS 2012/13, 2009/10, 2005/06 Pop. share 2012/13 National 100.0 Residence Rural 77.4 Urban 22.6 Region Central 25.8 East 29.7 North 21.1 West 23.5 2009/10 National 100 Residence Rural 85.0 Urban 15.0 Region Central 26.5 East 29.6 North 20.0 West 24.0 2005/06 National 100.0 Residence Rural 84.6 Urban 15.4 Region Central 29.2 East 25.2 North 19.7 West 25.9 Source: Uganda Bureau of Statistics Mean CPAE Poverty estimates P0 P1 P2 P0 Contribution to: P1 P2 64,737 19.7 5.2 2.0 100.0 100.0 100.0 53,149 104,412 22.8 9.3 6.0 2.5 2.4 0.9 89.3 10.7 89.2 10.8 89.5 10.5 98,047 48,411 42,697 65,563 4.7 24.5 43.7 8.7 1.0 5.3 14.1 1.7 0.3 1.7 6.2 0.5 6.2 36.9 46.6 10.3 4.9 30.2 57.1 7.8 4.2 25.4 64.5 5.9 62,545 24.5 6.8 2.8 100.0 100.0 100.0 52,467 119,552 27.2 9.1 7.6 1.8 3.1 0.6 94.0 5.6 95.9 4.1 96.8 3.2 100,441 49,697 38,988 56,232 10.7 24.3 46.2 21.8 2.4 5.8 15.5 5.4 0.8 2.1 7.3 2.0 11.6 29.3 37.7 21.3 9.5 25.2 46 19.3 7.7 22 52.7 17.7 55,092 31.1 8.8 3.5 100.0 100.0 100.0 47,031 99,525 34.2 13.7 9.7 3.5 3.9 1.4 93.2 6.8 93.8 6.2 94.1 5.9 79,830 44759 31,329 55,325 16.4 35.9 60.7 20.5 3.6 9.1 20.7 5.1 1.3 3.5 9.2 1.8 15.4 29 38.5 17.0 12.1 26.1 46.7 15.1 10.7 24.6 51.3 13.4 40 Table 2.4.4b shows that, the number of poor persons has been steadily decreasing across the three survey periods (from 8.4 million in 2005/06 to 6.6 million in 2012/13). Table 2.4.4b: Poor Persons in Millions (2005/06-2012/13) National Residence Rural Urban Region Central Eastern Northern Western Source: Uganda Bureau of Statistics 2005/06 8.4 2009/10 7.51 2012/13 6.7 7.87 0.57 7.1 0.42 6 0.7 1.3 2.45 3.45 1.44 0.87 2.2 2.84 1.6 0.4 2.5 3.1 0.6 2.4.5 Income Inequality The distribution of income across individuals shows who benefits or misses out on the development opportunities available to society. The Gini coefficient is one of the measures for income inequality. Table 2.4.5 shows that, overall, income inequality as measured by the Gini coefficient stood at 0.395 in 2012/13 which was a decrease from 0.426 in 2009/10. Decomposing by residence, reveals that inequality was largely driven by urban areas. The findings further show a notable reduction in income inequality in the Central and Western regions while an increase was observed in the Northern region. Table 2.4.5: Gini coefficient by sub-region, 2002-2013 Residence Rural/Urban Rural Urban Region Central Eastern Northern Western National Source: Uganda Bureau of Statistics 2005/06 2009/10 2012/13 0.432 0.363 0.447 0.375 0.341 0.410 0.417 0.354 0.331 0.342 0.408 0.451 0.319 0.367 0.375 0.426 0.392 0.319 0.378 0.328 0.395 2.4.6 Changes in poverty Status (2013/14 – 2015/2016) UBOS also conducts Panel Surveys with the objective of monitoring poverty and service outcomes in interim years of the UNHSs. Table 2.4.6 presents the welfare status of Uganda from the Panel survey period 2013/14 to 2015/16 disaggregated by selected population characteristics. Poverty has been measured using monetary methods of welfare such as consumption expenditure. However, the multi-dimensional nature of poverty calls for complementary measures to fully understand poverty. This entails considering a combination of measures of wellbeing for instance education, health, vulnerability and deprivation among others. In addition, panel surveys have demonstrated that poverty is not static, instead, poor people and indeed households change their state depending on several factors. Some stay in poverty over an extended period of time while others move into and out of poverty overtime. This section highlights changes in poverty over the panel survey period. 41 Overall, 10 percent of the population in Uganda was chronically poor. The chronically poor were more likely to be in households residing in rural areas (12%), households whose head had no formal education (23%), as well as households residing in the Northern region (24%) of Uganda. On the other hand, people that experienced mobility into or out of poverty between 2013/14 and 2015/16 were mainly from the Eastern region followed by Northern regions as well as persons belonging to households whose head had some or no formal education. However, overall, close to seven in every ten persons of the household population remained nonpoor (69%) over the two survey periods. The majority of those who remained non-poor had attained secondary education or beyond as shown in the table below. Table 2.4.6: Household Poverty Dynamics between the Survey Periods 2013/14 to 2015/16, percentage Background characteristics Chronically Moved Out Of Slipped Into Never Total Poor 10.9 Poverty 11.8 Poverty 6.2 Poor 71.1 100 9.4 13.8 8.5 68.3 100 Sex of head Female headed Male headed Region Central 1.2 6.7 2.5 89.5 100 Eastern 15.5 22.7 10.3 51.4 100 Northern 23.8 17.5 12.3 46.5 100 Western 3.7 7.9 8.0 80.5 100 Rural 12.2 15.6 8.1 64.1 100 Urban 2.9 5.8 6.5 84.8 100 Residence Education No Formal Education 23.4 17.4 5.6 53.5 100 Some Primary 10.3 14.0 10.3 65.5 100 Completed Primary 6.5 18.0 10.1 65.3 100 Secondary & above 2.7 6.8 4.4 86.1 100 National 9.9 13.2 7.7 69.2 100 Source: Uganda Bureau of Statistics There was a five percent increase in monthly household expenditure between 2009/10 and 2012/13. Household consumption expenditure per capita was observed to have increased by 15% in Western-rural region. The largest share of households’ expenditure was on food, beverages and tobacco (46%).Trends in poverty show that the proportion of the poor population reduced from 24.5% in 2009/10 to 19.7% in 2012/13.In terms of Absolute numbers, about 6.7 million Ugandans lived in poverty in 2012/2013. Nationally, on average, income inequality reduced from 0.426 to 0.395 in the survey period 2009/10 and 2012/13, respectively. With regard to changes in poverty between 2013/14 and 2015/16, overall, 10 percent of the population in Uganda was chronically poor across the survey periods. The chronically poor were more likely to be in households residing in rural areas (12%), households whose head had no formal education (23%), as well as households residing in the Northern region (24%) of Uganda. 42 2.5 Public Health This section presents statistics on some of the key aspects of public health. These include status of healthcare facilities, immunisation coverage, morbidity and other selected health sector performance indicators. 2.5.1 Health Facilities Health facilities in Uganda include hospitals and health centres (IV, III and II). The number of functional healthcare facilities in 2015/16 was 5,117 down from 5,205 that were registered in 2012/13 as shown in Table 2.5.1 below. See appendix table 2.5A for ownership status of functional healthcare facilities by district in the year ending June 2013. Table 2.5.1: Number of Functional Healthcare facilities by Ownership 2010/11-2015/16 Ownership Financial Year 2011/12 2012/13 2010/11 Government NGO Private Total 2015/16 2,655 801 2,680 871 2,843 874 2,932 983 994 1,430 1,488 1202 4,450 4,981 5,205 5,117 Source: Ministry of Health, HMIS 2015/16 Table 2.5.2: Human Resources for Health posts approved, filled by year and health facility category 2014/15 Post Filled Percent Approved 2015/16 Post Filled Percent Posts 2,801 1,792 Filled 64 Posts 2,339 1,933 Filled 83 Butabika 424 349 82.3 424 376 89 Uganda Blood Transfusion 242 240 99.2 251 236 94 Uganda Cancer Institute 213 125 58.7 272 183 67 Uganda Heart Institute 190 134 70.5 192 110 57 Regional Referrals 4,744 3,739 78.8 5,430 3,728 69 Subtotal (national Institutions.) 8,614 6,379 74.1 8,908 6,566 74 District Level institutions 46,851 32,416 69.2 51,370 35,897 70 Total 55,465 38,795 69.9 60,278 42,463 70 Health Facility National Institutions Mulago Approved Source: Ministry of Health, HMIS 2015/16 Figure 2.5.1 below provides information on staffing levels for selected cadres of human resource for health for the years 2014/15 and 2015/16. Medical officers (doctors) that make the core of health staff, less than 50 percent of the approved posts were filled in the year 2015/16 (49 percent) down from 63 percent of approved posts filled in 2015. There was a slight increment in the numbers of filled posts for the pharmacists in 2015/16 (40 percent) up from 38 percent observed in 2014/15. 43 Figure 2.5.1 Health posts filled by type of staff, 2014/15-2015/16. 2.5.2 Expenditure on Health Sector The government expenditure on the health sector as a percentage of the total government expenditure is shown in Figure 2.5.2 below. Government expenditure on health in the year 2015/16 was 6.4 percent down from 8.5 percent spent in the previous year 2014/15. Generally, government expenditure on health sector has been declining since financial year 2013/14 (7.8 percent). The trend changed upwards in financial 2013/14 (8.7 percent) but in the Financial 2014/15 went down to 8.5 percent. The average expenditure on health sector in the last five years stood at 7.9 percent, 1.9 points short of the Health Sector Development Plan 2015/162019/20 target of 9.8 percent and much lower than the Abuja Declaration of 15 percent. Figure 2.5.2: Government of Uganda health expenditure as percentage of total government expenditure 44 Generally the per capita public health expenditure has been on the increase in Uganda. Figure 2.5.3 shows that per capital health expenditure in 2015/16 was Uganda Shillings 36,830 compared to Uganda Shillings 37,130 registered in the previous year 2014/15. Before 2015 the per capita health expenditure increased to Uganda Shillings 32,214 up from Uganda Shillings 23,756 observed in 2012/13 down from 25,142 Uganda Shillings seen in 2011/12. Figure 2.5.3: Per capita public health expenditure, Ug shilling 40,000 37,130 35,000 32,214 30,000 25,000 25,142 23,756 20,000 15,000 10,000 5,000 0 2011/12 2012/13 2013/14 2014/15 2015/16 2.5.3 Morbidity Morbidity is defined as the total population at risk of getting infected by a disease outbreak as measured by the incidence of a disease. Incidence is the number of new cases of the population reporting having a disease in a given time period. The table 2.5.4 shows that the number of new cases reporting various illnesses in the outpatient departments has been increasing in the last five years except for 2013/14. Malaria has been the leading cause of morbidity in Uganda followed by Cough or Cold. In the FY 2013/14, these two accounted for 60 percent of the morbidity. Table 2.5.4: The leading cause of morbidity in 2013/14 Diagnosis Malaria Cough or Cold (2010/11) New Cases percent (2011/12) New Cases percent (2012/13) New Cases percent (2013/14) New Cases percent 12,614,609 6,712,597 36.2 19.3 13,263,620 8,855,816 36.3 24.3 15,997,210 12,650,981 36.8 29.1 15,195,108 10,585,085 35.1 24.5 Intestinal Worms 1,826,240 5.2 2,018,551 5.5 2,403,712 5.5 2,411,974 5.6 Acute Diarrhea 1,029,615 3.0 1,181,737 3.2 1,357,165 3.1 1,516,369 3.5 Skin Diseases 1,118,221 3.2 1,112,903 3.0 1,458,967 3.4 1,425,467 3.3 All others 11,552,063 33.1 10,075,167 27.6 9,544,324 22.0 12,147,147 28.1 Total 34,853,345 100.0 36,507,794 100.0 43,412,359 100.0 43,281,150 100.0 Source: HMIS Ministry of Health, 2014/15 45 2.5.4 Maternal Health Care 2.5.4.1 Maternal Morbidity and Mortality Table 2.5.5 shows haemorrhage as the leading cause of maternal illness and mortality accounting for 39 percent of the deaths in 2015/16 in the last five years. Although pregnancy related hypertension was high in 2015 (12 percent), it was surpassed by postpartum sepsis (20 percent) to be second to Obstetric haemorrhage in 2016. Table 2.5.5: Percentage of Maternal Mortality by financial year and Disease Burden 2011/12-2015/16 Disease Burden 2011/12 Year of Maternal Mortality 2012/13 2013/14 2014/15 2015/16 Haemorrhage Obstructed labour and urine rupture 31.5 17.3 34.7 2.3 34.9 11.2 42 8 Pre-eclampsia and eclampsia 10.8 10.2 17.1 12 9 18 9.3 11.9 11 20 Postpartum sepsis Complications of unsafe abortion 39 9 15.1 9.7 13 3 9 Other direct causes 7.2 1.4 11.9 15 5 Indirect causes aggravated by pregnancy 0.1 32.4 - 9 7 Source: Ministry of Health, HMIS 2015/16 2.5.4.2 Pregnancy Related Mortality Maternal mortality ratio is the number of women who die due to pregnancy related causes per 100,000 live births. Figure 2.5.5 indicates that maternal mortality ratio for Uganda 1995-2016. The maternal mortality for 2016 was 336 per 100,000 live birth down from 438 per live birth recorded in 2011 according to Uganda Demographic Health Survey (UDHS), 2016. For the last fifteen years, the maternal mortality ratio has been coming down starting from 2001. This is consistent with the trend of pregnancy related mortality observed in health facilities from Ministry of Health Health Management Information System (HMIS). Figure 2.5.5: Maternal Mortality Ratio for Uganda 1995-2016 46 2.5.4.3 Deliveries by skilled health provider The Delivery by Skilled Attendance Rate is the percentage of women who give birth under the supervision of a qualified health worker per 1000 live birth in a given period and geographical area. In 2016, Delivery by Skilled Attendance Rate increased to 74 compared to 58 percent registered in 2011. In 2006 the skilled attendance rate was 42 percent up from 37 percent observed in 2001 as shown in figure 2.5.4. Figure 2.5.4: Percentage of Women 15-49 years delivered by a skilled Health Provider, 2001-2016 2.5.5 Under Five Health Facility Based Mortality A total of 12,358 deaths were reported in health facilities for (in-patients) in the FY 2015/16 among under-fives down from 13,554 deaths reported in 2014/15. Malaria was the leading cause of mortality (42.8 percent) amongst this category of population in 2015/16, followed by Pneumonia 11.2 percent, anaemic conditions was at 10.6 percent and Perinatal Conditions at 6.3 percent. Table 2.5.6: Under Five hospital based mortality by Ailment, 2013/14-2015/16 Under Five Mortality 2014/15 2013/14 Ailment Anaemia Respiratory infections(Other) Diarrhea Acute Perinatal Conditions (in new born) 8 -28 days) Malaria Neonatal Septicemia Perinatal Conditions (in new born) 0 -7 days) Pneumonia Septicemia Severe Malnutrition (Kwashiorkor) Injuries Road- Traffic Accidents Injuries - (Trauma) due to other causes Gastro-Intestinal disorders (none Infective) Others Total Number 1,620 441 337 358 4,030 611 1,105 1,824 388 294 0 0 2,994 14,002 Percent 11.6 3.1 2.4 2.6 28.8 4.4 7.9 13.0 2.8 2.1 0.0 0.0 0.0 21.4 100.0 Source: HMIS-Ministry of Health 2015/16 47 Number 1,476 0 404 0 3,059 712 1,314 1,659 457 317 375 382 0 3,399 13,554 Percent 10.9 0.0 3.0 0.0 22.6 0.0 0.0 12.2 3.4 2.3 2.8 2.8 0.0 25.1 100.0 2015/16 Number 1,312 261 430 5,295 778 1,382 347 244 275 185 1,849 12,358 Percent 10.6 2.1 3.5 0.0 42.8 0.0 6.3 11.2 2.8 0.0 2.0 2.2 1.5 15.0 100.0 2.5.6 Tuberculosis Detection and Treatment Tuberculosis (TB) is a main cause of illness and death globally, accounting for an estimated 8.8 million new cases and 1.6 million deaths each year. In Uganda the Ministry of Health has promoted new smear-positive case detection and subsequent treatment of the patients. The TB case detection rate in 2015/16 was 80 percent as shown in figure 2.5.6 below. This was a sharp increase in the detection rate down from 45 percent observed in 2014/15. The treatment success rate has stagnated at about 80 percent since in 2013/14. Figure 2.5.6: Countrywide TB detection and Treatment Rates 2011/112-2015/16 48 2.6 Crime Statistics Crime statistics are very useful in implementing effective strategies for fighting crime and its impact to the population. This chapter presents data on various forms of crime and remedial measures as compiled by the Uganda Police Force and the Uganda Prisons Service respectively. 2.6.1 Annual Crime Rate Crime Rate is the incidence of crime per 100,000 people based on reported cases. Figure 2.6.1 shows that in 2015, the Annual Crime Rate (ACR) stood at 741; this means that, out of every 100,000 people, 741 were victims of crime in 2015 compared to 742 victims reported in 2014. Figure 2.6.1: Trend in Crime rate Table 2.6.1 presents the most common crimes reported in 2015 by category. Common assault was the most reported type of crime by victims. Most forms of crime were on the decrease except Aggravated Assaults, Child neglect and Domestic Violence which increased 23 percent, six percent and three percent, respectively in 2015. Table 2.6.1: Leading Crimes in 2015 Crime Categories Common Assaults Defilement 2014 39,557 18,507 2015 39,180 17,812 Threatening Violence 16,902 15,326 -9.32 Obtaining By False Pretense 17,866 14,496 -18.86 Domestic Violence 10,548 10,812 2.50 8,210 10,065 22.59 Aggravated Assaults Child Neglect Percentage change 2014 - 2015 -0.95 -3.76 9,248 9,800 5.97 Criminal Trespass 11,697 9,721 -16.89 Malicious Damage to property 10,087 9,529 -5.53 Thefts of Cash 10,917 9,413 -13.78 Source: Uganda Police Force 49 Table 2.6.2 shows that among the adults, more males than females were victims of at least one crime in 2015 while the reverse was observed for juveniles, that is, more females than males were victims. The majority of the male victims were victims of general crimes (138,986) mainly thefts (35,767). Of the female victims, majority (82,223) were victims of general crimes with sex related offences as the main cause. Table 2.6.2: Number of victims of reported crime by case, Sex and age group, 2015 Case/Crime Incidences Male Female Adult Juvenile* Total Adult Juvenile* Total Homicides 3,273 298 3,571 733 178 911 Economic Crimes 13,315 29 13,344 3,978 7 3,985 General Crimes 126,084 12,902 138,986 53,650 28,573 82,223 (A) Sex Related Offences 121 49 170 1,831 17,571 19,402 (B) Child Related Offences 0 9,706 9,706 0 9,245 9,245 (C ) Breakings 10,933 334 11,267 3,278 135 3,413 (D) Thefts 35,547 220 35,767 7,834 88 7,922 (E) Robberies 5,876 63 5,939 1,307 23 1,330 (F) Assaults 28,243 1,075 29,318 13,901 651 14,552 (G) Other Crimes In General** 45,364 1,455 46,819 25,499 860 26,359 Terrorism 85 0 85 28 2 30 Political/Media Offences 950 1 951 110 1 111 Corruption 28 0 28 4 0 4 Narcotics/Drugs 2,711 8 2,719 132 0 132 Other Laws*** 2,772 15 2,787 176 12 188 Grand Total 149,218 13,253 162,471 58,811 28,773 87,584 ** Includes Human Trafficking, Abduction, Kidnap, Arson, Malicious Damage To Property, Criminal Trespass And Attempted Murder. ***Includes Immigration, NEMA, UWA, Lg, Fire Arms, Fish And Crocodile Acts Source: Uganda Police Force 2.6.2 Serious crimes Investigated Serious crimes as defined by the Uganda Police Force include homicides, aggravated robbery, defilement, rape, burglary, child stealing and child trafficking. Table 2.6.3 shows that overall 32,198 serious crimes were investigated during the year 2015. Defilement was the most serious crime investigated accounting for more than half. There was a notable increase in the total number of serious crimes investigated between 2012 and 2015. Table 2.6.3: Serious Crimes Investigated by Type, 2012 - 2015 Type of Serious Crimes 2012 2013 2014 2015 Defilement 3,935 9,598 12,077 17,395 Burglary 1842 3,846 3,668 7,697 Homicides 759 2,326 2,421 4,315 Aggravated Robbery 559 1,005 985 985 Rape 257 1,042 1,099 1,454 55 164 147 233 Child stealing Child Trafficking Total 9 67 78 119 7,416 18,048 20,475 32,198 Source: Uganda Police Force 2.6.3 Traffic and Road Safety This section covers information on traffic crashes, causalities, accident victims, vehicles involved in road accidents, causes of road accidents and the time of crash. 50 Reported Road Traffic Crashes Road Traffic Crashes refer to accidents that are either fatal, serious or minor. An accident is said to be fatal if a death occurs at the scene of the accident and/or within one year as a result of injuries sustained in the accident. A serious accident is one in which a person is admitted in the hospital as an “in-patient” or sustains injuries like fractures, concussion, internal injuries, crashing, severe cuts and lacerations whether or not one is admitted in the hospital. A minor accident is defined as a car damage only, in which no persons are injured regardless of the extent of damage on the vehicle. The Uganda Police Force recorded a total of 14,474 road traffic crashes in 2016 as shown in Table 2.6.4. The table also shows that nearly half of the accidents in 2016 were serious. There was a 22 percent decrease in the total number of reported road traffic crashes between 2015 and 2016. However, fatal crashes registered an increase of 8.4 percent in the same period. Table 2.6.4: Reported road traffic crashes by outcome of crash, 2012 – 2016 Outcome 2012 2013 2014 2015 2016 Percentage share: 2016 Percentage change 2015 - 2016 Fatal Serious 2,611 9,030 2,616 8,874 2,518 9,259 2,749 9,422 2,981 7,153 20.6 49.4 8.4 -24.1 Minor 8,220 6,878 6,909 6,324 4,340 30 -31.4 Total 19,861 18,368 18,686 18,495 14,474 100 -21.7 Source: Uganda Police Force Casualties of traffic crashes For every fatal or serious road traffic crash there are victims who are referred to as causalities. Table 2.6.5 indicates that there were a total of 15,757 casualties reported in 2016; a decrease by about 15 percent from the number of traffic casualties reported in 2015. The Table also indicates that most casualties (20.1 percent) in 2016 survived with serious injuries. The Accident Severity Index is used to measure seriousness of an accident. It is defined as the number of persons killed per 100 accidents. In every 100 accidents that occurred, 24 persons died in 2016. Table 2.6.5: Number of road traffic Casualties by outcome of crash Accident and Severity Index Outcome Killed Serious injury 2012 2013 2014 2015 2016 3,124 13,137 2,937 12,754 2,845 13,516 3,224 13,736 3,503 10,981 2016 Percentage: change in 22.2 69.7 20158.7 - 2016 -20.1 Minor injury 1,755 1,592 1,487 1,466 1,268 8.0 -13.5 Total 18,016 17,283 17,848 18,426 15,752 100.0 -14.5 17.3 17.0 15.9 17.5 24.2 Accident Severity Index Source: Uganda Police Force 51 Accident victims by type of road user Table 2.6.6 indicates that in 2016, passengers constituted the highest percentage of accident victims (38.8 percent) followed by pedestrians (26.4 percent) which accounts for about two thirds of all accident victims. Pedal cyclists and drivers formed the least proportion of causalities at 4.4 percent and 6.7 percent respectively. A similar pattern was observed for causalities in the previous years. Table: 2.6.6: Percentage distribution of Accident victims by road user type, 2012 – 2016 Road user Type 2012 2013 2104 2015 2016 Passengers 38.8 38.2 37.4 39.3 38.8 Pedestrians 27.3 27.3 26.0 25.7 26.4 Motor cyclists 21.7 22.8 24.1 23.5 23.6 6.0 5.6 6.6 6.8 6.7 Drivers Pedal cyclists 6.1 6.1 5.8 4.7 4.4 100.0 100.0 100.0 100.0 100.0 18,016 17,283 17,848 18,426 15,752 Total Number of accident victims Source: Uganda Police Force Table 2.6.7 shows that of the causalities in 2016, 14 percent were children while the majority (33.0 percent) were aged 25-34 years. More males than females were victims of accidents irrespective of the outcome. Table 2.6.7: Accident Victims by type of injury, Age, outcome of crash and Sex, 2016 (Number) Age group Killed Seriously Injured Male Female Slightly Injured Male Female Number 281 74 719 1,465 581 578 110 164 77 82 2,214 2,800 14.1 17.8 854 145 2,874 915 306 109 5,202 33.0 502 102 1,428 420 155 70 2,677 17.0 45 – 54 248 73 523 210 69 31 1,154 7.3 55- 64 131 40 177 98 25 13 484 3.1 65- 74 65 33 81 35 9 2 224 1.4 >75 33 14 38 27 5 1 118 0.7 Unknown 23 4 639 173 33 8 880 5.6 2,737 766 7,944 3,037 876 392 15,752 100.0 Male Female Below 18 18- 24 445 437 25- 34 35 – 44 Total Total Percentage Source: Uganda Police Force Timing of Road Accidents The time of the day has a strong bearing to the possibility of occurrence of accidents. Table 2.6.8 indicates that 28 percent of road accident crashes occurred between 4:00 p.m-7:59 p.m in 2016 while the least (6 percent) occurred from between midnight to 3.59 a.m in the morning. 52 Table 2.6.8: Number of crashes by category and time of occurrence, 2016 Time Fatal Serious Minor 12.00 mid night - 3.59am 248 386 4.00am-7.59am 299 642 8.00am-11.59 am 398 12.00 noon-3.59pm 4.00pm -7.59pm 8.00pm -11.59pm Total Total Percentage in 2016 254 890 6.1 397 1,338 9.2 1,428 887 2,712 18.7 531 1,525 1,025 3,081 21.3 870 2,052 1,112 4,032 27.9 633 1,120 667 2,420 16.7 2,979 7,153 4,342 14,473 100.0 Source: Uganda Police Force Vehicles involved in crashes on the road Table 2.6.9 shows that a total of 21,985 vehicles were involved in road accident crashes in 2016 compared to 28,658 vehicles reported in 2015. Of the vehicles involved in the crashes in 2016, a third were motor cars followed by motor cycles (29.7 percent). A similar pattern has been observed since 2012. Table 2.6.9: Percentage distribution of road accidents by type of vehicles and year Type of Vehicle Motor cars Motor cycles 2012 37.1 26.3 2013 36.4 26.9 2014 34.6 27.6 2015 33.2 28.2 2016 31.0 29.7 Light Omnibus 11.7 11.8 13.1 13.8 11.9 Light goods vehicles 5.9 5.8 5.5 5.5 6.7 Pedal cycles 3.7 3.4 3.6 2.9 2.8 Dual-purpose vehicles 3.8 3.9 3.7 4.0 4.6 Medium goods vehicles 3.9 3.7 4.3 4.7 4.9 Trailers & Semi-Trailers 1.7 2.2 2.4 2.2 2.2 Heavy goods vehicles 1.5 1.8 2.1 2.1 2.2 Heavy Omnibus 1.5 1.4 1.3 1.2 1.6 Medium Omnibus 1.3 1.1 0.9 1.1 1.0 Tractors 0.4 0.5 0.2 0.2 0.4 Pedestrian Controlled Vehicles 0.1 0.1 0.1 0.2 0.1 Fuel Truck 1.1 0.8 0.4 0.5 0.7 Engineering plant 0.2 0.2 0.1 0.3 0.2 100.0 100.0 100.0 100.0 100.0 30,705 27,648 29,174 28,658 21,985 Total Number Source: Uganda Police Force Causes of Road Accidents Table 2.6.10 indicates that the leading cause of road accidents in 2016 was careless driving (45 percent) despite a notable decrease of 18 percent in 2016 compared to 2015. Reckless or dangerous driving accounted for 36 percent of the road accidents, a decrease of 8 percent from 2015. 53 Table 2.6.10: Number of Road Accidents by Causes, 2012 to 2016 Causes of Accidents Percentage: change 2012 2013 2014 2015 2016 2016 2015 in – Careless Driving 8,694 7,901 8,708 8,048 6,567 45.4 2016 -18.4 Reckless/Dangerous Driving 5,831 5,502 5,670 5,614 5,140 35.5 -8.4 Unknown cause (Hit & Run) 1,105 2,895 2,985 2,981 700 4.8 -76.5 Careless Pedestrian 1,079 1,095 815 885 933 6.4 5.4 Over speeding 308 492 677 954 589 4.1 -38.3 Passenger Falls from Vehicle 270 296 218 184 209 1.4 13.6 Under Influence of Drinks/Drugs 216 208 310 238 200 1.4 -16 Obstacle on carriage way 59 3 3 6 1 0 -83.3 Dazzled by Lights of another vehicle 46 25 28 44 48 0.3 9.1 Overloading/Dangerous Loading 82 171 179 175 87 0.6 -50.3 Other causes1 2,971 227 266 233 na na Na Total 20,661 18,815 19,859 19,362 14,474 100 -27.1 Source: Uganda Police Force 1 Includes road and weather condition related accidents na - Police can only ascertain causes as a result of human error and not factors such as road condition, weather condition, etc. Express Penalty Scheme The Express Penalty Scheme (EPS) was introduced in 2004 under Section 165 of the Traffic and Road Safety Act 1998 (TRS Act, 1998) to help Police manage minor traffic offences and offenders. A total number of 218,287 tickets were issued on the Express Penalty Scheme (EPS) in 2016 with an average value of UGX. 68,000 per ticket. This showed a high increment from the number of tickets issued in 2015 by twenty one percent as indicated in table 2.6.11. This could have resulted from the implementation of the road traffic regulations under the enforcement operations. Table 2.6.11: Number of Tickets and amount paid (Uganda millions Shillings) on the express penalty scheme, 2012-2016 Tickets Percentage Amount paid Average Value of issued change ‘Millions tickets issued (‘ 000) 2012 2013 261,305 283,114 9.6 8.3 7,027 7,205 27 25 2014 188,792 -33.3 9,628 51 2015 180,433 -4.4 7,412 41 2016 218,287 21.0 14,806 68 Year Source: Uganda Police Force 54 2.6.4 Prison Statistics a) Prison Population Table 2.6.13 reflects an increase in the total prison population of about 13 percent from 2015. The majority of prisoners in 2016 were on remand, accounting for more than half (51 percent) of the prison population. Debtors constituted only 0.7 percent of the prison population. The Incarceration Rate which has been on the increase since 2013 stood at 140 prisoners per 100,000 persons in 2016. The table further shows convicted prisoners account for 48 percent of the prison population in 2016. Table 2.6.13: Prison population by Category, 2012 – 2016 Category Criminal prisoners Remand Convicted Total Civil prisoners Debtors* Total prison population %age Change in the total prison population Incarceration Rate** Deaths in Prison Babies staying with female prisoners Source: Uganda Prisons Services 2012 2013 2014 2015 2016 Percentage share in 2016 51.2 48.2 99.3 18,217 15,875 34,092 21,413 16,936 38,349 22,937 19,117 42,054 24,803 20,424 45,227 26,236 24,676 50,912 34,092 1.7 100 133 221 38,570 13.1 110 226 276 42,330 9.7 122 233 222 300 45,527 7.5 128 188 234 335 51,247 12.6 140 208 225 0.7 100.0 *A debtor is an individual who for failure to pay their debts has been committed to prison. **The incarceration rate is the number of prisoners per 100,000 population. Table 2.6.14 shows that the majority of foreign prisoners (0.63 percent) were Rwandese followed by Congolese and that the minority (0.01 percent) were Europeans. Age group differentials showed that most prisoners (26 percent) were aged 20-24 years. About two percent of the prisoners were older persons aged 60 years and above. From age group 15-19 to 20-24, the proportion of prisoners increased and then reduced with increase in age of prisoners. 55 Table 2.6.14: Number of prisoners by category, sex, nationality and age group, 2016 Category Ugandan Rwandese Congolese Kenyan Tanzanian S/ Sudanese Burundian Somalian Asians Other Africans Europeans M Remands F 24,799 157 105 31 33 28 13 10 2 2 0 15-19 3,708 20-24 6,473 25-29 5,790 30-34 3,641 35-39 2,270 40-44 1,342 45-49 843 50-54 493 55-59 246 60-64 169 65-69 119 70-74 42 75-79 21 80-84 17 85-89 4 90-94 1 95-100 1 TOTAL 25,180 Source: Uganda Prison Service T 1,044 2 5 2 0 0 3 0 0 0 0 25,843 159 110 33 33 28 16 10 2 2 0 126 232 176 150 123 79 70 46 20 19 5 8 2 0 0 0 0 1,056 3,834 6,705 5,966 3,791 2,393 1,421 913 539 266 188 124 50 23 17 4 1 1 26,236 Convicts M F Nationality 23,203 1,066 156 10 84 6 50 3 49 o 18 1 8 o 5 o 8 o 5 1 4 0 Age group 2,701 90 6,491 248 5,571 183 3,523 184 2,153 115 1,248 110 778 55 483 49 254 24 181 14 104 8 55 6 25 0 9 1 12 0 1 0 0 0 23,589 1,087 T M Debtors F 24,269 166 90 53 49 19 8 5 8 6 4 282 0 0 0 0 0 0 0 0 0 0 53 0 0 0 0 0 0 0 0 0 0 335 0 0 0 0 0 0 0 0 0 0 50,447 325 200 86 82 47 24 15 10 8 4 2,791 6,739 5,754 3,707 2,268 1,358 833 532 278 195 112 61 25 10 12 1 0 24,676 0 8 25 34 46 42 41 33 26 13 5 3 5 1 0 0 0 282 0 0 8 10 9 9 9 3 2 0 0 3 0 0 0 0 0 53 0 8 33 44 55 51 50 36 28 13 5 6 5 1 0 0 0 335 6,625 13,452 11,753 7,542 4,716 2,830 1,796 1,107 572 396 241 117 53 28 16 2 1 51,247 T No. National % 98.44 0.63 0.39 0.17 0.16 0.09 0.05 0.03 0.02 0.02 0.01 12.93 26.25 22.93 14.72 9.2 5.52 3.5 2.16 1.12 0.77 0.47 0.23 0.1 0.05 0.03 0 0 100 Table 2.6.15 below shows the distribution of prisoners by category and region. In 2016, there were generally more prisoners on remand across all regions. Of the total prison population, majority (25 percent) were in Western region with the least (13.5 percent) from Kampala. A similar pattern was observed in 2015. Table 2.6.15: Number of Prisoners by Category and Region, 2015 – 2016 Category of prisoners Region Category of Percentage Percentage prisoners share Convict Remand Debtor Total share Convict Remand 2015 Debtor Total 2016 Kampala* 3,199 3,366 22 6,587 14.5 2,931 3,989 22 6,942 13.5 Central 5,412 5,625 78 11,115 24.4 6,701 5,762 74 12,537 24.5 Eastern 3,555 4,154 45 7,754 17 4,256 4,603 58 8,917 17.4 Northern 3,548 4,685 29 8,262 18.1 4,867 4,945 47 9,859 19.2 Western 4,710 6,973 126 11,809 25.9 5,921 6,937 134 12,992 25.4 National 20,424 24,803 300 45,527 100 24,676 26,236 335 51,247 100 Source: Uganda Prisons Service *Includes prisoners in Luzira and Kigo 56 Table 2.6.16 shows that overall, the majority of prisoners (20 percent) had committed burglary and thefts, followed by murder (16 percent), aggravated defilement (14 percent) while the least had committed criminal trespass (1.2 percent), vehicle theft (1.2 percent) and debtors 0.7 percent. Table 2.6.16: Number of prisoners by offence committed and sex, 2016 OFFENCES COMMITTED REMANDS CONVICTS TOTAL No. % M F T M F T Burglary & Thefts 4,436 159 4,595 5,554 184 5,738 10,333 20.2 Murder 4,557 491 5,048 2,776 337 3,113 8,161 15.9 Aggravated Defilement 4,183 21 4,204 3,045 15 3,060 7,264 14.2 Aggravated Robbery 2,221 27 2,248 1,269 14 1,283 3,531 6.9 948 10 958 1,813 10 1,823 2,781 5.4 Stealing Cattle 807 4 811 1,179 7 1,186 1,997 3.9 1,148 1 1,149 666 0 666 1,815 3.5 Assault 664 64 728 711 58 769 1,497 2.9 Other Assorted offences 524 39 563 611 55 666 1,229 2.4 Threatening Violence 561 15 576 514 7 521 1,097 2.1 Rogue & Vagabond 648 25 673 398 14 412 1,085 2.1 Attempted murder and Manslaughter 207 26 233 674 100 774 1,007 2 Corruption, Embezzlement and forgery 349 27 376 520 71 591 967 1.9 NDA related offences 583 10 593 362 10 372 965 1.9 Doing grievous harm 352 26 378 484 69 553 931 1.8 Robbery 448 11 459 437 5 442 901 1.8 Malicious Damage 287 13 300 378 16 394 694 1.4 Criminal Trespass 327 9 336 282 10 292 628 1.2 Defilement Rape Stealing a Vehicle Other offences* 483 4 487 102 1 103 590 1.2 1,447 74 1,521 1,814 104 1,918 3,439 6.7 335 0.7 25,180 1,056 26,236 23,589 1,087 24,676 51,247 100 Debtors Total *includes offences not classified above like torture, terrorism, trafficking, immigration related cases etc Source: Uganda Prison Service While in prison, prisoners undergo rehabilitation such as education (both formal and informal), skills development, as well as guidance and counselling. This rehabilitation serves the sole objective of transforming them into better citizens that can adopt to life outside prison once they are released from jail. Table 2.6.17 shows that 12,562 prisoners were undergoing skills training in agriculture and vocational learning in 2016. 57 Table 2.6.17: Number of Prisoners attending education, 2016 Programme Males Females Number of inmates Completed PLE 174 06 180 Completed UCE 39 06 45 Completed UACE 26 04 30 Formal Education Completed Diploma and certificates 147 0 147 2,635 124 2,759 856 34 890 Agricultural skills 9,661 213 9,874 Vocational skills 2,603 85 2,688 Still undergoing training Informal Education Functional Adult Literacy Source: Uganda Prison Service b) Prison Capacity and Occupancy rate Overcrowding in prison cells is a serious violation of prisoners’ constitutional human rights since prisoners are entitled to a healthy environment. Table 2.6.18 shows high levels of overcrowding in prison cells across all regions in the country. The National Prison Occupancy Rate in 2016 was 309 percent implying that, there were 308 prisoners in every space meant for 100 prisoners. Regionally, wide variations were observed. Kampala had the highest prison occupancy rate (404 percent) while Eastern region had the lowest rate (223 percent). The details are given in statistical appendix Table 2.6.B. Table 2.6.18: Prison Capacity and Occupancy Rate by sex and region 2016 Region Sex of prisoners Prison Occupancy Capacity Rate 6,587 1,720 383 Kampala* 357 11,115 4,077 273 305 7,754 3,951 196 416 8,262 2,738 302 477 11,809 4,031 293 2,033 45,527 16,517 276 Male Female 6,109 478 Central 10,758 Eastern 7,449 Northern 7,846 Western 11,332 National 43,494 Total Sex of prisoners Region Prison Occupancy Capacity Rate 6,942 1,720 404 374 12,537 4,045 310 356 8,917 4,005 223 526 9,859 2,833 348 468 12,992 4,009 324 2,196 51,247 16,612 309 Male Female 6,470 472 Central 12,163 Eastern 8,561 Northern 9,333 Western 12,524 National 49,051 2015 Kampala* Total 2016 Source: Uganda Prisons Service *Includes prisoners in Luzira and Kigo Of the women who are incarcerated, a majority (1,986) were of childbearing age (15-49 years) as shown in Table 2.6.13. Babies need their mothers because that child needs to breastfeed in order to develop early bonding attachments with the mother5. A total of 225 babies were in 2016 staying with their mothers in prison. Figure 2.6.2 indicates that the Northern region had the highest proportion (26 percent) of mothers living with their babies in prison while the Central region had the least (13 percent). 5 Collaborating Centre for Prison Health and Education 58 Figure 2.6.2: Distribution of babies staying with their mothers in prison by region, 2016 Western 21% Kampala 19% Central 13% Northern 26% Eastern 21% 2.6.7 Prison Staff In 2016, the Uganda Prison Force had a total of 9,313 staff of which 3 in every 10 were females. The distribution of staff by category is shown in Table 2.6.19. NCOs were the majority (7,957) among uniformed staff, junior officers (290) among non-uniformed staff while cadet POs (129) were more among trainees. Table 2.6.19: Number of Prison staff by category and sex, 2016 STAFF CATEGORY Uniformed* Senior officers Principal Officers NCOs Non Uniformed** Senior Officers Junior Officers Trainees*** (PATS) Cadet**** ASPs Cadet POs GRAND TOTAL Percentage *Uniformed staff are those who wear the UPS uniform Sex Males 6,260 240 389 5,631 197 64 133 152 55 97 6,609 71 Females 2,459 47 86 2,326 195 38 157 50 18 32 2,704 29 TOTAL 8,719 287 475 7,957 392 102 290 202 73 129 9,313 100 **Non uniformed staff are civilians recruited into the service as well as those transferred directly in by public service. ***Trainees are newly recruited officers but still undergoing a basic training at the Prisons Academy and Training School in Luzira. ****'Cadet refers to newly recruited officer still on probation and for that case, they were still in the training school 59 CHAPTER THREE PRODUCTION STATISTICS 3.1 Agriculture and Fisheries This section presents statistics on food crop area and production, selected cash crop production, livestock, livestock products and fish catch. 3.1.1 Major Cash Crops The traditional cash crops of Uganda include: Coffee, Tea, Cotton and Tobacco. Uganda produces two kinds of coffee (Arabica and Robusta). Over the years, Robusta coffee has been produced in much more quantities compared to Arabica coffee (also known as mountain coffee). There was an increase in the volume of coffee and cotton produced in 2016, while tea production declined to 39,299 tonnes (33 percent) from 58,588 tonnes in 2015. A total of 243,061 tonnes of coffee was produced in 2016 resulting into an increment of about 6.1 percent from that produced in 2015. Cotton production increased to 20,339 tonnes from 17,275 tonnes produced in 2015 hence a 17.7 percent increment. Statistical Appendix Table 3.2 A presents coffee, cotton and tea produced for the period 2012 – 2016. Production (Tonnes) Figure 3.1.1: Coffee, Tea, and Cotton Production (Tonnes), 2012-2016 270,000 240,000 210,000 180,000 150,000 120,000 90,000 60,000 30,000 0 2012 2013 2014 2015 2016 Year Coffee Tea Cotton Sugarcane production has been increasing since 2013. In 2014, sugarcane production increased by 27.2 percent (3,350,000 tonnes) from 2,640,000 tonnes in 2013 while in 2016, the production reduced to about 3,100,000 tonnes (10.6 percent) having dropped from 3,430,000 tonnes in 2015. 60 Figure 3.1.2: Sugarcane Production Volumes (Tonnes), 2012-2016 3,600,000 Production (Tonnes) 3,400,000 3,200,000 3,000,000 2,800,000 2,600,000 2,400,000 2,200,000 2,000,000 2012 2013 2014 2015 2016 Year 3.1.2 Area and production of Food Crops, 2016 Uganda grows several food crops of which 16 are major according to the Uganda Census of Agriculture (UCA) 2008/09. These include Maize, Millet, Sorghum, Rice, Cassava, Sweet potatoes, Irish potatoes, Beans, Cow peas, Field peas, Pigeon peas, Groundnuts, Soya beans, Simsim, Plantains and Coffee. Area under major crop groups was as follows: Cereals (1,787,000 Ha), Roots and Tubers (1,347,000 Ha), Plantains (970,000 Ha), Oil crops (927,000Ha) and Pulses (762,688Ha). Area planted under cereals and root crops, pulses and oil crops increased by less than one percent except for area under plantains and pulses which decreased by about 0.3 percent and 0.01 percent respectively. There was a general reduction in production for most of the crops. There was a significant decline in production of plantains to 3,395,875 tonnes in 2016 (27 percent). Other crops with reduced production include millet (18 percent), maize (12 percent), sorghum (11 percent) and beans (25 percent) among others. Like the rest of the crops, most oil crops declined by about three percent. See Statistical Appendix Table 3.2 C. 61 Figure 3.1.2: Production Volumes for Selected Crops (Tonnes), 2012-2016 5,000 Tonnes 4,000 3,000 2,000 1,000 0 2012 2013 2014 2015 2016 Year Bananas Cassava Maize Rice Beans Gnuts S/potatoes 3.1.2.1 Crop Area and Production by region and district, UCA 2008/09 Results from the UCA 2008/09 showed that the Eastern region was the main producer of Finger Millet (106,838 tonnes), Maize (1,108,554 tonnes), Rice (128,195 tonnes), Sweet Potatoes (847,140 tonnes) and Cassava (1,061,186 tonnes). The Northern region led in the production of Sorghum (177,088 tonnes), Field peas (10,428 tonnes), Pigeon peas (11,031 tonnes), Groundnuts (83,182 tonnes), Soya beans (15,727 tonnes) and simsim (93,562 tonnes). While the Western region led in the production of Banana-all types (2,883,648 tonnes) and Beans (411,945 tonnes). In terms of districts and within regions, the highest plantain Banana production in the country was reported in the district of Isingiro (601,363 tonnes). The districts with the highest production of plantain Banana in the Central, Eastern, Northern and Western regions were Mubende (204,109 tonnes), Mbale (99,011 tonnes), Arua (17,106 tonnes) and Isingiro (601,363 tonnes) respectively. The highest Maize production in the country was reported in the district of Iganga with 303,262 tonnes. The districts with the highest production of Maize in the Central, Eastern, Northern and Western regions were Mubende (171,089 tonnes), Iganga (303,262 tonnes), Adjumani (47,264 tonnes) and Kabarole (91,318 tonnes) respectively. The highest Sweet Potatoes production in the country was reported in the district of Iganga with 270,853 tonnes. The districts with the highest production of Sweet Potatoes in the Central, Eastern, Northern and Western regions were Nakasongola (66,419 tonnes), Iganga (270,853 tonnes), Gulu (61,732 tonnes) and Kyenjojo (40,148 tonnes) respectively. The highest Cassava production in the country was reported in the district of Apac with 239,932 tonnes. The districts with the highest production of Cassava in the Central, Eastern, Northern and Western regions were 62 Masaka (64,965 tonnes), Tororo (174,962 tonnes), Apac (239,932 tonnes) and Hoima (60,932 tonnes) respectively. Ntungamo district with 137,899 tonnes reported the highest Beans production in the country. The districts with the highest production of Beans in the Central, Eastern, Northern and Western regions were Mubende (78,027 tonnes), Mbale (23,637 tonnes), Amuru (74,671 tonnes) and Ntungamo (137,899 tonnes) respectively. The highest Groundnuts production in the country was reported in the district of Soroti with 19,599 tonnes. The districts with the highest production of Groundnuts in the Central, Eastern, Northern and Western regions were Nakasongola (19,183 tonnes), Soroti (19,599 tonnes), Amuru (14,375 tonnes) and Kibaale (12,473 tonnes). Table 3.2.2 (a): Crop Area and Production by region, UCA 2008/09 Crop Type Plantain bananas Finger millet Maize Sorghum Rice Sweet potatoes Irish Potatoes Cassava Beans Field peas Cow peas Pigeon peas Ground nuts Soya beans Sim-Sim Central 326,082 5,832 189,135 2,261 2,637 98,054 4,798 127,788 120,798 470 1,135 26,504 750 590 Area Planted(Hectares) Eastern Northern 69,504 9,195 86,911 105,656 388,762 247,780 101,645 249,330 36,033 25,912 159,948 60,573 1,271 594 342,387 269,886 108,107 146,702 8,014 29,067 12,976 9,352 876 28,786 122,404 136,893 7,279 26,195 15,316 158,763 Production (Tonnes) Central Eastern Northern 1,039,837 342,234 31,626 13,734 106,838 78,572 449,859 1,108,554 305,798 2,678 133,313 177,088 2,173 128,195 43,719 312,402 847,140 292,932 13,290 4,624 1,311 409,812 1,061,186 983,124 167,276 98,834 251,221 302 3,233 10,428 281 7,086 3,429 219 11,031 32,757 77,247 83,182 208 5,801 15,727 127 6,774 93,562 Western 511,096 51,588 188,583 46,016 10,504 121,681 26,096 131,328 241,915 6,286 354 139 59,431 2,220 928 Western 2,883,648 77,784 497,745 62,716 16,649 366,295 135,210 440,189 411,945 2,489 261 80 51,497 1,887 565 Source: UBOS and MAAIF (Uganda Census of Agriculture) 3.1.2.2 Disposition of Cereals (UCA 2008/09) The three most common types of disposition for cereal crops are; sale, consumption and storage. A significant percentage of Maize production (40.5 percent) and Rice production (54.5 percent) was sold while most of the Finger millet (37.7 percent) and Sorghum (46.9 percent) were consumed by the producing households. For all the four cereals crops in the table below, less than 10 percent of production was used for other purposes. The details are provided in Tables 3.2.3. Table 3.2.3: Cereal Production (Mt) and Disposition by percentage, UCA 2008/09 Crop Maize Finger millet Sorghum Rice Production (Mt) 2,361,956 276,928 375,795 190,736 Sold 40.5 19 14.3 54.5 Percentage disposition Human Consumption 34.3 37.7 46.9 24.1 63 Stored 19.3 33.5 30.1 12.4 Used for other purposes 5.9 9.8 8.7 9.0 3.1.3 Fish catch by water body Fish catch activities which are carried out in open water sources provide an important source of livelihood for many people in Uganda. Open Waters cover 15.3 percent of Uganda’s total surface area 241,550.7Km2 and this comprises of five major lakes (Victoria, Albert, Kyoga, Edward and George), which are the main contributors to capture fisheries. Lake Victoria continued to be the most important water body in Uganda, both in size and contribution to the fish catch. Its share of catch was 52.1 percent in 2015 and this rose to 54.2 percent in 2016. This was followed by Lake Albert (31.7%) and Lake Kyoga (8.7 %) as shown in Figure 3.1.2. Figure 3.1.2: Fish catch by water body Victoria 54.2% Albert 31.7% Kyoga 8.7% Other w ater bodies 2.1% Edw ard, George, Kazinga Channel Source: Fisheries Department, Ministry of Agriculture, Animal Industry and Fisheries (MAAIF). Lake Wam ala Albert Nile 0.8% 1.1% There was an increase in the fish catch for Lake Victoria from 238,630 tonnes produced in 2015 to 252,804 tonnes in 2016. Albert Nile, Lakes Edward, George and Kazinga channel and other waters also registered an increase in fish catch. However, Lake Albert, Lake Kyoga and Lake Wamala recorded a decline in fish catch during the year 2016. It is worth noting that over 90 percent of the fish catch is harvested from Lakes: Victoria, Albert and Kyoga whose trends are shown in the figure below. The details of fish catch data by water body for the period 2012 to 2016 is shown in Statistical Appendix Table 3.1 E. '000 tonnes Figure 3.2.1 G: Trend of Fish Catch Production for Major Lakes 300.0 250.0 200.0 150.0 100.0 50.0 0.0 2012 2013 2014 2015 2016 Years L. Victoria L.Albert L.Kyoga 64 3.1.4 Livestock Livestock plays an important role in the country’s food security and it is the main source of proteins. There was a 2.4 percentage increase in the cattle population from 14,031,000 in 2015 to 14,368,000 in 2016. In addition, sheep and goat numbers increased from 4,198,000 to 4,307,000 and from 15,312,000 to 15,312,000 respectively in the year 2015 and 2016. This was a 2.6 and 2.7 percentage increase respectively for the small ruminants. The pig population also increased from 3,916,000 in 2015 to 4,037,000 in 2016 while poultry numbers increased from 45,145,000 in 2015 to 46,291,000 in 2016. Fig 3.1.4 shows changes in livestock numbers for all livestock types. Statistical Appendix Table 3.1 F provides data on livestock numbers by type for the period 2012-2016. Figure 3.1.4: Changes in Livestock Numbers (‘000s) for 2014-2016 44 ,6 98 45 ,1 45 46 ,29 1 55,000 50,000 45,000 35,000 30,000 ,36 8 10,000 5,000 3, 58 4 3, 91 6 4, 0 37 3, 84 2 4, 19 8 4, 3 07 15,000 14 20,000 14 ,0 12 15 ,3 12 15 ,72 5 25,000 13 ,6 23 14 ,0 31 Numbers ('000s) 40,000 0 Cattle Sheep 2014 Goats Pigs 2015 Poultry 2016 3.1.4.1 Number of Cattle, Goats and Poultry by breed in 2012 - 2016 Cattle, Goats and Poultry indigenous breeds continue to be dominant over the exotic ones as shown in Table 3.1.3. For 2016, there were 13,377,000, 15,521,000 and 40,597,000 indigenous cattle (93.3 %), goats (98.7 %) and poultry (87.7 %) respectively. On the other hand, the exotic breed contributed 991,000, 5,694,000 and 204,000 for cattle (6.7 %), goats (1.3 %) and poultry (12.3 %) respectively in 2016 as shown in Table 3.1.3. 65 Table 3.1.3: Cattle and Poultry Estimates (‘000s) by breed 2012 - 2016 Year Cattle Poultry Goats Indigenous Exotic Indigenous Exotic Indigenous Exotic *2008 10,679 730 32,835 1,536 12,288 162 2012 11,979 861 36,955 5,176 13,830 182 2013 12,339 887 38,064 5,332 14,245 188 2014 12,709 914 39,206 5,492 13,829 182 2015 13,090 941 40,382 5,657 15,113 199 2016 13,377 991 40,597 5,694 15,521 204 *2008 – are figures from Livestock Census 3.1.5 Beef, Milk and Egg production This sub-section presents data on beef, milk and egg production estimates based on Livestock Census 2008. The production of beef in 2015 was estimated to be 209,017 metric tonnes which increased to 214,033 Metric tonnes in 2016. This is shown in Figure 3.1.5a and the details are shown in appendix Table 3.1 G. Figure 3.1.5a: Beef Production (Mt) for 2012 – 2016 220,000 215,000 214,033 210,000 209,017 205,000 202,929 200,000 197,019 195,000 190,000 191,280 185,000 180,000 175,000 2012 2013 2014 2015 2016 There has been a steady increase in the milk production for the past four years. Between 2015 and 2016, the milk production increased from 1,596,000,000 litres in 2015 to 1,693,000,000 litres. The details are shown in Fig 3.1.5 b and Table 3.1 H. 66 Figure 3.1.5b: Milk Production, million litres for 2012 – 2016 Million ltrs) 1,650 1,600 1,550 1,500 1,450 1,400 1,350 2012 2013 2014 2015 Years 2016 Additionally, egg production slightly increased from 882,523,000 number of eggs in 2015 to 882,567,000 number of eggs in 2016. This was almost an insignificant increase as compared to the trend in previous years as seen in Figure 3.1.5c.The details are shown in appendix, Table 3.1 H Figure 3.1.5c: Egg Production Trend 2012 – 2016 900.0 Million 880.0 860.0 882.6 2015 2016 856.8 840.0 820.0 800.0 882.5 831.9 807.6 780.0 760.0 2012 2013 2014 year 67 3.2 Industry Statistics 3.2.1 Index of Production (Manufacturing) The Index of Production (IoP) for the manufacturing sector measures changes in the volume of goods produced by the manufacturing sector in the economy. Monthly data is collected on a quarterly basis from manufacturing establishments that contribute about 80 percent of manufacturing value addition. The index is computed for eight broad groups as shown in Table 3.2.1 below and the detailed group shown in Statistical Appendix Tables 3.2 A and 3.2 B. The volume of production for the manufacturing sector increased by 5.4 percent for 2016 as shown in Table 3.2.2. There was a notable increase in the Textiles, Clothing and Footwear sector to 21.8 percent that was mainly due to a 54.1 percent increase in the volume of cotton ginning. Food Processing group indicated an increase of 10.6 percent that was mainly attributed to an increase in bakery production (32.5 percent) and Tea processing (37.7 percent). There was also an increase in volume of Chemicals, Paint, Soap & Foam Products group of 9.9 percent mainly attributed to increase in volume of Chemical & Pharmaceutical Production (59.4 percent).It should be noted however, that the volume of production for the Metal Products, Drinks and Tobacco groups recorded a decline of 2.4 percent and 0.9 percent, respectively. Table 3.2.1: Index of Production, Annual Production levels (2002=100), 2012 - 2016 Description Total Manufacturing Food Processing Drinks and Tobacco Textiles, Clothing and Footwear Sawmilling, Paper And Printing Chemicals, Paint, Soap & Foam Products Bricks and Cement Metal Products Miscellaneous Source: Uganda Bureau of Statistics Weight 1000 400 201 43 35 97 75 83 66 2012 193.41 158.39 266.40 192.09 234.38 209.47 239.95 140.00 152.66 2013 199.03 175.18 261.35 138.84 248.91 204.55 251.21 148.71 161.33 2014 219.71 210.88 288.28 116.29 222.67 213.75 243.74 155.83 190.59 2015 221.61 186.51 290.07 125.93 246.47 266.24 289.30 166.97 200.09 2016 233.47 206.25 287.35 153.37 251.72 292.49 289.59 162.98 214.24 Table 3.2.2: Index of Production, Annual Percentage Changes (2002=100), 2012 - 2016 Description Total Manufacturing Weight 2012 2013 2014 2015 2016 1000 3.6 2.9 10.4 0.9 5.4 Food Processing 400 8.9 10.6 20.4 -11.6 10.6 Drinks and Tobacco 201 5.9 -1.9 10.3 0.6 -0.9 Textiles, Clothing and Footwear 43 1.9 -27.7 -16.2 8.3 21.8 Sawmilling, Paper And Printing 35 10.3 6.2 -10.5 10.7 2.1 Chemicals, Paint, Soap & Foam Products 97 -4.4 -2.4 4.5 24.6 9.9 Bricks and Cement 75 -1.8 4.7 -3.0 18.7 0.1 Metal Products 83 -7.1 6.2 4.8 7.1 -2.4 Miscellaneous 66 -2.9 5.7 18.1 5.0 7.1 Source: Uganda Bureau of Statistics 68 3.3 Energy Statistics This section presents statistics on Electricity and petroleum fuels. It also provides statistics and information on imports and sales of petroleum products, generation and distribution of electricity including installed capacity of some of the generators in the country. 3.3.1 Import of Petroleum products The petroleum products include Petrol (PMS), Diesel (AGO), Kerosene (BIK) and Jet fuel. During the period under review, there was a 7.6 percent and 6.1 percent increase in the import volume of petrol and diesel respectively in 2016 compared to 2015. However, Kerosene registered a decrease in import volume of 0.8 percent in 2016 compared to 2015, as shown in Figure 3.3.1 below. For details, see Statistical Appendix Table 3.3.A. Figure 3.3.1: Imports of selected Petroleum Products (cubic meters), 2012-2016 3.3.2: Annual Average Retail Prices for Petroleum Products Table 3.3.1 shows the annual average retail price changes for selected petroleum products. There was a continued decrease in the average prices of Petrol and Kerosene from 2015 to 2016. The average prices of Petrol, diesel and kerosene decreased further by 6.3, 8.7 and 7.5 percent, respectively in 2016. Table 3.3.1: Average Retail Prices per litre of selected Petroleum Products (Ug. Shs), 2012-2016 Product 2012 2013 2014 2015 2016 Petrol 3,672 3,738 3,703 3,592 3,366 Annual %age change Diesel Annual %age change Kerosene Annual %age change 2% 2% -1% -3% -6% 3,303 3,264 3,224 2,891 2,640 3% -1% -1% -10% -9% 2,795 2,854 2,860 2,684 2,483 2% 2% 0% -6% -8% Source: Ministry of Energy and Mineral Development 69 3.3.3 Electricity 3.3.3.1: Installed Capacity The total installed capacity of electricity power sources for 2016 remained constant at 895.5 Megawatts since 2014 as shown in Figure 3.3.2 and in Statistical Appendix Table 3.3.B. Figure 3.3.2: Installed Electricity Capacity in MW (2012-2016) 3.3.3.2: Number of consumers Figure 3.3.6 shows that the total number of consumers increased by 24 percent from 704,637 customers in 2014 to 872,836 customers in 2015. This was due to an increase in domestic consumers by 24.6 percent, commercial consumers by 17.5 percent and industrial consumers by 11.2 percent as shown in Figure 3.3.6 below. For more details, see Statistical Appendix Table 3.3 G. Figure 3.3.6: Total Number of Electricity Consumers, 2011-2015 70 3.3.3.3 Annual Average Weighted Domestic Tariff Figure 3.3.7 below illustrates the movement of the annual average tariffs for domestic, commercial and large industrial consumers from 2012 to 2016. For more details, see Statistical Appendix Table 3.3 G-I. The annual average weighted domestic tariff increased by 10.1 percent from 540.4 Uganda shilling per kilowatt (Ug. Shs/kwh) in 2015 to 595.1 Ug. Shs/kwh in 2016. The annual average weighted domestic tariff increased by 12.2 percent from 503.6 Ug. Shs/kwh in 2015 to 565.2 Ug. Shs/kwh in 2016. The annual average weighted domestic tariff increased by 5.0 percent from 393.4 Shs/kwh in 2015 to 413.1 Shs/kwh in 2016. Figure 3.3.7: Annual Average Weighted Tariff (Ug. Shs/kWh), 2012-2016 71 3.4 Building and Construction Statistics 3.4.1 Building Statistics This section presents statistics on the trend of building in the country for the period under review. Data is collected from selected Town Councils and Municipalities on Building Plans submitted, Plans Approved and Occupational Permits Issued. Buildings are classified basing on the use as; Residential, Commercial, Industrial, Institutional and other mixed use mostly among the residential and commercial purpose. Commercial buildings include; warehouses, shops, shopping malls, gas stations, markets and office spaces. Industrial building include; factories, plants, sawmills, bakeries and breweries. Institutional buildings include libraries, colleges, child development centers, primary/secondary schools, institutes, universities, hospitals, health centers, nursing homes and clinics. Other structures include churches, mosques, temples, shrines, telephone masts, police, prisons, embassies, court halls and those not elsewhere categorised. The coverage of Town Councils and Municipalities has increased as more small urban centers upgrade to Town Councils or Municipalities. About 12 Municipalities and 44 Town Councils were covered in 2012, 25 Municipalities and 56 Town Councils in 2013, 25 Municipalities and 60 Town Councils in 2014, 22 Municipalities and 60 Town Councils in 2015 and 45 Municipalities and 90 Town Councils in 2016. 3.4.1.1 Building Plans Submitted Figure 3.4.1 shows that of all the plans submitted in 2016, majority were residential and commercial with shares of 58 and 34 percent, respectively in 2016. Figure 3.4.1 Percentage distribution of Plans Submitted to selected Municipalities and Town Councils 3.4.1.2 Plans Approved In 2016, of all plans approved, 58 percent were for residential buildings while 34 percent were for commercial building compared to 2015. Increases in the number of plans approved for residential (4.5 percent), 72 commercial (33.1 percent) and institutional (35.7 percent) buildings were registered. On the other hand, the number of approved plans for industrial buildings decreased by 10.2 percent in 2016. 3.4.1.3 Occupational Permits Issued An occupation permit is a certificate of occupancy issued by the Local Government certifying a building’s compliance with applicable building codes and laws, indicating it to be in a condition suitable for occupancy. Figure 3.4.3 shows that in 2016 of all occupation permits issued 41 percent were for commercial buildings, 37 percent were for residential buildings while 12 percent were for institutional buildings. Compared to 2015, the percentage of occupation permits issued dropped from 46 percent to 37 percent for residential building, 44 percent to 41 percent for commercial buildings respectively. Further comparison to 2015, there was an increase in industrial, institutional and other buildings with 1 percent to 6 percent, 9 percent to 12 percent and one percent to five percent, respectively. Figure 3.4.3 Percentage distribution of Occupation Permits issued by selected Municipalities and Town Councils 3.4.2 Cement Consumption Table 3.4.1 shows Production, Imports, Exports and Net Domestic Supply (NDS) of cement in the economy. Comparing 2015 to 2016, there was an increase from 2,234 thousand tonnes to 2,468 thousand tonnes in the Net Domestic Supply which was due to the increase in production of cement. Table 3.4.1: Production, Imports, Exports and Net Domestic Supply of Cement (‘000 Tonnes) Production Imports Exports Net Domestic Supply (NDS) Annual percentage change in NDS 2012 1780 449 556 1673 0.5 2013 2023 322 593 1752 4.7 2014 2141 397 485 2053 17.2 Source: Uganda Bureau of Statistics 73 2015 2340 335 431 2234 8.1 2016 2494 333 359 2468 9.5 3.5 Mineral Statistics This section presents statistics on production of minerals in Uganda. Mineral statistics are categorized under two sections; metallic and non-metallic minerals. 3.5.1: Mineral production by quantity There was a decrease in the production of tin, iron ore and synthetic aggregate and an increase in the production of Limestone, Pozollana, Vermiculite, Wolfram, Kaolin and Coltan (See Statistical Appendix Table 3.5.A.) 3.5.2: Mineral production by value Figure 3.5.1 shows the value of mineral production for selected minerals in Uganda from 2012 to 2016. The results show that there was a 20.3 percent increase in the total value of the minerals produced from 146 billion shillings in 2015 to 176 billion shillings in 2016. (See Statistical Appendix Table 3.5.B.) Figure 3.5.1: Mineral Production, million shillings 74 3.6 Transport Statistics This section deals with transport statistics which include road, rail and air services. 3.6.1 Road transport 3.6.1.1 Road Network The Uganda road network is categorized into four; National Roads, District Roads, Urban Roads and Community Access Roads. These are further sub-divided into two types which are paved and unpaved roads. The information presented in this section is for national roads only. Notably, the total National road length during the period did not have any significant changes between financial years 2014/15 and 2015/16. Table 3.6.1: National Road Network in Uganda (km) 2009/10- 2015/16 Total Paved Percentage change - Paved Total unpaved Percentage change - Unpaved Total National Network 2010/11 2011/12 2012/13 2013/14 2014/15 2015/16 3,264 3,317 3,490 3,565 3,919 4,157 5 2 5 2 10 6 percent percent percent percent percent percent 17,120 17,683 17,510 16,979 16,625 16,388 134 3 -1 -3 -2 -1 percent percent percent percent percent percent 20,384 21,000 21,000 20,544 20,544 20,545 Source: Uganda National Roads Authority 3.6.1.2 Newly registered motor vehicles Registration of new for private vehicles is conducted by Uganda Revenue Authority while Ministry of works registers Government Owned Vehicles. Table 3.6.2 presents statistics on newly registered private vehicles and Motorcycles from 2012-2016. The results also show that the total number of newly registered private vehicles decreased by 22 percent in 2016 compared to those registered in 2015 while the total number of newly registered motorcycles increased by 5 percent. Table 3.6.2: Private newly registered motor vehicles / Motorcycles from 2012-2016 Category Newly Registered Cars Percentage change Newly Registered M/Cycles Percentage change Total newly Registered (Cars & M/cycles) Percentage change 2013 2014 2015 2016 45,169 45,560 43,337 33,750 106.4 0.9 -4.9 -22.1 88,776 81,838 78,865 83,131 33.9 -7.8 -3.6 5.4 133,945 127,398 122,202 116,881 51.9 -4.9 -4.1 -4.4 Source: Uganda Revenue Authority 75 3.6.1.3 Government licensed motor vehicles and motorcycles The number of Central Government licensed vehicles increased by 91 percent in 2016 compared to 2015. Furthermore, Table 3.6.4 indicated that there was an increase of 121 percent in the number of Local Government licensed motor vehicles and Motorcycles in 2016 compared to those registered in 2015. Table 3.6.3 Government licensed motor vehicles from 2012-2016 Category 2012 Central Government Vehicles for MDAs 957 2013 Percentage change District vehicles 1248 Percentage change Total newly Registered Government Vehicles 2014 2015 2016 730 653 1,014 1,936 -24 % -11 % 55 % 91 % 169 404 245 541 -86 % 139 % -39 % 121 % 899 1,057 1,259 2,477 -59 % 18 % 19 % 97 % 2,205 Percentage change Source: Ministry of works and Transport 3.6.2 Air Transport This sub-section presents data on the movement of commercial aircrafts, passengers and Cargo through Entebbe International Airport and aircraft movement over Uganda’s air space. 3.6.2.1 Aircraft Movement Table 3.6.4 shows that there was a 3.9 percent increase of aircraft movement in Entebbe Airport. This was as a result of a 2.5 percent increase in the number of commercial aircrafts movements and also aircraft over flights by 6.6 percent in 2016 as shown in Table 3.6.4. Table 3.6.4: Aircraft Movements at Entebbe International Airport 2010 – 2016 Aircraft Movement Commercial Aircraft Landings 2012 2013 2014 2015 2016 30,259 30,364 26,886 27,650 28,347 0.35 -11.5 2.8 2.5 14,138 13,199 15,194 14,386 15,333 -6.6 15.1 -5.3 6.6 44,397 43,563 42,080 42,036 43,680 -1.9 -3.4 -0.1 3.9 Percentage Change Over flights at Entebbe Percentage Change Total Movements Percentage Change Source: Civil Aviation Authority 3.6.2.2 Passenger Air transport The total number of passengers through Entebbe International Airport increased by 1.9 percent in 2016 compared to 2015. This was attributed to the two percent increase in the number of international passengers. 76 However, there was a 5.1 percent decrease in the number of domestic passengers from 14,934 to 14,166 as shown in Table 3.6.5. Table 3.6.5: Number of Passengers through Entebbe International Airport from 2012-2016 Passengers 2012 2013 2014 2015 2016 International 1,328,332 1,438,546 1,427,035 1,505,505 1,532,329 8.3 -0.8 5.5 1.8 25,458 22,789 14,934 14,166 84.6 -10.5 -34.5 -5.1 1,464,021 1,449,822 1,520,450 1,549,495 9.1 -1 4.9 1.9 Annual percentage Change Domestic 13,780 Annual Change ( percent) Total Passengers 1,342,142 Annual Change ( percent) Source: Civil Aviation Authority 3.6.2.3 Volume of Cargo through Entebbe International airport The volume of cargo increased by 5.5 percent compared to 2015 from 56,465 tonnes in 2015 to 59,556 tonnes in 2016. This was as a result of an increased in the volume of cargo loaded by 20.6 percent and a decrease in volume of cargo off-loaded by 7.4 percent. Also during the period, the volume of mails offloaded reduced by 8.2 percent as shown in Table 3.6.6. Table 3.6.6: Cargo Through Entebbe International Airport, tonnes, 2012 – 2016 Annual Percentage Cargo 2012 2013 2014 2015 2016 Change ( 2015-2016 Off-loaded 22,123 21,724 20,644 21,789 20,182 -7.4 Loaded 33,784 33,982 32,198 32,661 39,374 20.6 Total 57,919 57,719 54,856 56,465 59,556 5.5 Off-loaded 394 424 420 353 324 -8.2 Loaded 217 227 253 219 211 -3.7 Total 611 651 673 673 535 -20.5 ) Mail Source: Civil Aviation Authority 3.6.3 Rail Transport The Rift Valley Railways Consortium (RVR) manages railways transport of Uganda and Kenya. Currently the service that is provided by RVR is only cargo transportation. A total of 818,520 tonnes was hauled in 2015 compared to 682,800 tonnes in 2014 representing an increase of 19.9 percent . The Net tonnes by rail ferried through Port Bell decreased by 66 percent in 2015. It was also revealed that the number of fatalities remained constant for the years 2014 and 2015, respectively as shown in table 3.6.7. 77 Table 3.6.7: Railway Transport statistics from 2012-2015 Annual Percentage Change Indicator 2012 2013 2014 2015 2014 2015 Net ton-km ('000) 136,247.3 131,033.7 153,747.6 189,081.0 17.3 23.0 Net tones 612,755.0 572,713.0 682,800.0 818,520.4 19.2 19.9 24,245.0 27,481.0 9,669.5 3,255.2 -64.8 -66.6 103.0 98.4 161.3 235.9 63.8 46.2 7.9 6.6 5.0 7.8 -23.6 55.0 1,888.1 2,082.0 2,206.3 2,136.4 6.0 -3.2 7.1 6.2 6.4 6.8 3.2 5.9 Wagon Transit Time MSA-KLA (days) 128.5 122.0 116.5 134.5 -4.5 15.5 Wagon turn- round time MSA-KLA-MSA (days) 379.0 416.5 187.0 140.2 -55.1 -25.0 Number of reported accidents 172.0 204.0 255.0 549.0 25.0 115.3 9.0 8.0 2.0 2.0 -75.0 0.0 Net tonnes by rail ferries through Port Bell Wagon Productivity (tonne km/wagon '000) Locomotive Availability ( percent) Locomotive productivity (km/loco/day) Wagon availability Number of fatalities Source: Rift Valley Railways 3.6.4 Inland Water Transport The inland water transport system in Uganda operates mainly on Lake Victoria using Port Bell and the remaining five lakes and six rivers. Figure 3.6.1 shows that since 2012, there has been a declining volume of cargo going through Port Bell. This was due to the low business of the Nakuru – Kisumu railway track that connects Kenya to both Tanzania and Uganda through Lake Victoria. Figure 3.6.1: Cargo through Port Bell, 2011 to 2015 3.6.5 Transport Licensed Vehicles for Public Use This sub-section provides statistics on vehicles regulated by the Transport Licensing Board. The main functions of the Board is to regulate the use of public transport vehicles; private omnibuses; goods transport vehicles throughout Uganda in accordance with the provisions of the traffic and Road Safety Act, (1998). The board grants routes for private bus operations and inspects and licenses Inland Water Transport Vessels. Most of the changes in the series are attributed to enforcement schemes. 78 Table 3.6.13 shows that there was a significant increase in the number of Tourist modelled licensed vehicles and Boda boda by 229 and 220 percent, respectively in 2016. During the period, there was a notable increase in the issuance of certificates of fitness to Vehicles of 638 percent. This was as a result of the introduction of a periodic inspection of all vehicles in the country using modern automated equipment which eliminates personal subjectivity to ensure roadworthiness by the Government. Fluctuations in the number of annual license is a result variations in the degree of enforcement. Table 3.6.13: Number of commercial public licensed vehicles, 2012 – 2016 2012 2013 2014 2015 2016 Percentage 64 107 34 38 125 Change 229 12,695 15,572 17,634 15,316 11,119 -27 598 964 948 774 523 -32 4,371 1,569 1,069 2,483 7,938 220 OTV licensed Vehicles 979 1,074 951 989 726 -27 Inland Water Transport Vessels 216 196 79 129 73 -43 - 203 719 732 213 -71 Driving Instructors License 36 95 3 124 110 -11 Driving school License 16 45 - 51 40 -22 Certificate of fitness 55 127 3 24 177 638 Category Tourist modelled vehicles Public Service Vehicles Rental/Town Taxi Boda boda Country taxi Memo Items OTV refers to Owners Transport Vehicle category for vehicles exceeding two tonnes loading capacity Source: Transport Licensing Board 79 3.7 Communication Statistics This section presents statistics on some of the key aspects of communication. These include: telephone usage, internet market and mobile money statistics. 3.7.1 Telephone Usage The telecommunications sub-sector posted an increase in the number of subscribers in the year 2016. In the context of telecommunications, any registered line that has registered at least one transaction within the last 90 days is considered a subscriber. Table 3.7.1 shows that there was an increase of 12.9 percent in telephone subscribers from 20.549 million subscribers in 2015 to 23.2 million subscribers in 2016. Subsequently, the national teledensity increased by 7.5 percent from 59 lines per 100 people in 2015 to 63 lines per 100 people in 2016.The volume of talk time increased by 21.6 percent from 20,061 million minutes in 2015 to 24,392 million minutes in 2016. This represents 11 percent decrease in the International Talk time. Table 3.7.1: Telephone Subscribers and Talk time, 2012-2016 Annual Percentage Service 2012 2013 2014 2015 2016 Change (2015-2016) Subscribers (number '000) 16,671 18,341 20,690 20,549 23,206 12.9 314 272 324 328 368 12.2 16,356 18,068 20,366 20,220 22,698 12.3 48.8 51.9 56.5 59 63.4 7.5 Talk time(traffic, million minutes) 14,092 17,358 15,291 20,061 24,392 21.6 of which off-net 2,352 2445 1262 1,099 1,083 -1.5 11,494 14,638 13,780 18,693 23,071 23.4 246 274 248 267 238 -11 Fixed Telephone (number '000) Cellular Phone (number '000) Teledensity (lines per 100 population) on-net International (outgoing ) Source: Uganda Communications Commission 3.7.2 Call tariffs In a move to standardize rates by Mobile telecommunication service providers, the average call rates for both on-net and off-net dropped to shs 264 and shs 288 respectively in 2016. This indicated a two percent decrease in call rates for on net calls, 44 percent decrease for off-net calls. On-net calls are calls across the same service provider while Off-net calls are calls between two different service providers. Table 3.7.2: Call tariff averages (Ug.Shs.), 2012-2016 Call tariff averages per minute 2012 2013 2014 2015 2016 On-net 216 265 274 270 264 22.7 3.4 -1.5 -2.2 315 309 510 288 19.3 -1.9 65.0 -43.5 Percentage change ( percent) Off-net 264 Percentage change ( percent) Source: Uganda Communications Commission 80 3.7.3 Internet market During 2016, the total number of fixed internet subscribers increased by 13.7 percent compared to those registered in 2015. In the same period there was a 76.6 percent increase in mobile wireless internet subscriptions up from the 29.1 percent increase in 2015. Internet penetration also increased by 51.9 percent in 2016 compared to 39.7 percent increase in 2015, as shown in table 3.7.3. Table 3.7.3: Internet subscriptions, 2012-2016 Users and subscribers Fixed Internet Subscribers 2012 2013 2014 2015 96,000 100,900 113,400 130,200 148,000 5.1 12.4 14.8 13.7 percent 3,625,559 5,694,930 7,349,540 13,000,000 34.6 57.1 29.1 76.9 percent 7,314 10,813 13,842 19,000 18.0 47.8 28.0 37.3 percent 20.7 29.5 39.7 51.90 Annual Percentage increase Mobile wireless internet subscriptions 2,692,705 Annual Percentage increase Estimated internet users ('000) 6,200 Annual Percentage increase Internet penetration 8.2 2016 Source: Uganda Communications Commission 3.7.4 Mobile Money transactions The total number of registered mobile money customers increased by 2.0 percent from 21.1 million customers in 2015 to 21.6 million customers in 2016. The number of transactions (information exchange) increased by 45 percent from 200,057 million in 2015 to 291,000 million in 2016. The value of the transactions increased by 38 percent from 9,391 billion shillings in 2015 to 13,000 billion shillings in 2016 by 14 percent as shown in table 3.7.4. Table 3.7.4: Mobile Money transactions, 2012-2015 Subscribers 2012 2013 2014 2015 2016 Mobile money registered customers (number '000) 5,662 14,243 18,529 21,102 21,580 152 percent 30 percent 14 percent 2 percent 207,098 496,269 200,057 291,000 -14 percent 140 percent -60 percent 45 percent 18,982.50 24,053.90 9,391 13,000 63 percent 27 percent -61 percent 38 percent Annual Percentage Change Transactions (number '000) 241,727 Annual Percentage Change Transactions (Value bill. Shs) 11,662.80 Annual Percentage Change Source: Uganda Communication Commission 3.7.5 Postal and Courier services The total volume of letters handled by Posta Uganda decreased by 15 percent in 2016 compared to 2015 from 1,899,843 letters to 1,618,882 letters respectively. The most contributing factor to the decrease was realised from Ordinary Letters posted which recorded the highest decrease of 23 percent. Parcels received from abroad increased by 7 percent in 2016 compared to 2015 while EMS items received dropped by 35.9 percent, from 8,100 in 2014 to 5,189 in 2015, as shown in Table 3.7.5 below. 81 Table 3.7.5: Postal Statistics 2010 – 2015 Annual Percentage Items 2011 2012 2013 2014 2015 Change Letters Ordinary Letters posted 1 3,720,113 2,612,676 2,169,760 1,899,843 1,614,185 -15.0 2,177,341 1,799,069 1,407,431 1,126,276 864,281 -23.3 Ordinary Letters received2 1,470,054 746,086 700,763 714,027 749,904 5.0 Registered Letters posted1 53,490 44,330 41,065 38,291 41,816 9.2 19,228 23,191 20,501 20,126 20,693 2.8 2 Registered Letters received Parcels Incoming 18,800 19,841 18,863 16,478 17,627 7.0 EMS items posted 153,291 224,532 211,454 163,317 117,473 -28.1 8,776 11,838 10,714 8,100 5,189 -35.9 EMS items received Source: Posta Uganda Limited 82 3.8 Migration and Tourism This section presents a summary of international movement of persons through gazetted points of entry and exit of the country and other Tourism Statistics such as, visitors to national parks in the country. The information presented here is based on the Arrival and Departure Declaration Cards filled at 22 gazetted border points. Due to the irregular use of Arrival and Departure Declaration Cards, data for Entebbe International Airport and Katuna border posts was estimated based on the counts from Personal Identification Secure Comparable Evaluation System (PISCES) information. 3.8.1 International Arrivals and Departures The country recorded a total of 3.7 million travels in 2016 with the number of departures exceeding arrivals. The number of arrivals through the gazetted border posts increased by 4.1 percent between 2015 and 2016, while departures increased by 10.3 percent in the same period as shown in Table 3.8.1.Throughout the period, there were more male travelers compared to their female counterparts as shown in appendix Table 3.8 D. Table 3.8.1: International Arrivals and Departures (‘000s), 2012 – 2016 Arrivals Period Departures Annual Net Movement Annual Gross Movement Annual Annual Number Percentage Number Percentage Number Percentage Number Percentage (‘000s) Change (‘000s) Change (‘000s) Change (‘000s) Change 2012 1,634 6.8 1,471 7.3 162 1.9 3,105 7.0 2013 1,684 3.1 1,566 6.5 118 -27.2 3,250 4.7 2014 1,700 0.9 1,597 2 103 -12.7 3,297 1.4 2015 1,730 1.8 1,710 7.1 20 -80.6 3,440 4.3 2016 1,802 4.1 1,887 10.3 -85 3.3 3,688 7.2 Source: Uganda Bureau of Statistics 3.8.2 Arrivals from and Departures to the EAC- Partner States Table 3.8.2 shows that the number of arrivals from EAC member states reduced marginally from about 852,000 in 2015 to about 849,000 in 2016. Over the past five years, most of the arrivals and departures were from Kenya followed by Rwanda, overall accounting for 85 percent of the arrivals and departures. The net movement between Uganda and the other Partner States reduced from about 125,000 persons in 2015 to about 28,000 in 2016. However, note that there was an intermittent flow of arrival and departure cards at the border posts which could have also contributed to the decrease. 83 Table 3.8.2: Arrivals from and Departures to the EAC Partner States (‘000s), 2012 – 2016 Direction of movement by Country of Residence 2012 2013 2014 2015 2016 40 34 41 46 47 Kenya 393 381 361 409 353 Rwanda 256 280 348 301 363 South Sudan* 41 39 46 45 34 Tanzania 80 74 57 96 86 810 808 853 897 883 Arrivals Burundi Total Arrivals –EAC Departures Burundi 36 38 38 33 45 Kenya 367 363 360 333 290 Rwanda 215 260 329 285 402 South Sudan* 40 46 58 45 38 Tanzania 71 77 50 75 84 729 784 835 771 859 81 24 18 126 24 Total Departures - EAC Net Movement Source: Uganda Bureau of Statistics 3.8.3 Tourist Arrivals A Tourist is any person travelling to and staying in a place outside their usual residence (environment) for a period of not more than twelve consecutive months for leisure, business and other purposes not related to the exercise of an activity remunerated from within the place visited. Table 3.8.3 shows that out of 1.8 million total arrivals in 2016, majority (73 percent) were tourist arrivals. The number of tourist arrivals has remained almost the same between 2012 and 2016. During the period (2012-2014) the tourist arrivals were consistently higher than the tourist departures, but the reverse is seen in 2015 and 2016. Table 3.8.3: Tourist Arrivals and Departures by Residence, 2012 – 2016 Year Tourists Arrivals(‘000s) Tourists Departures (‘000s) Tourists Net Movement (‘000) 2012 1,197 1,090 107 2013 1,206 1,188 18 2014 1,266 1,220 46 2015 1,303 1,310 -7 2016 1,323 1,359 -37 Source: Uganda Bureau of Statistics 3.8.3.1: Place of Origin of Tourist Arrivals. In 2016, most tourist arrivals in the country were from Africa (79.2 percent) followed by Europe (8.3 percent), Asia (5.5 percent) and America (5.4 percent). Tourists from the neighbouring countries including (Kenya, Rwanda, Tanzania and D.R. Congo) accounted for 64 percent of thel visitor/tourist arrivals. The highest increase in number of tourist arrivals was from America and Asia at 15 percent and 10 percent, respectively followed by Europe at 3 percent (Statistical Appendix Table 3.8 M). 84 Table 3.8.3a: Distribution of Tourist Arrivals by Place of Origin,2012 – 2016 Country of Residence 2012 2013 2014 2015 2016 EAC 67.8 67.0 67.4 68.9 66.8 Burundi 3.4 2.8 3.3 3.5 3.6 Kenya 32.9 31.6 28.5 31.4 26.7 Rwanda 21.4 23.2 27.5 23.1 27.4 Tanzania 6.7 6.2 4.5 7.4 6.5 South Sudan 3.4 3.2 3.6 3.5 2.6 Other African countries 12.9 10.6 10.7 11.5 12.4 Other Countries 22.3 22.4 21.9 19.6 20.8 100.0 100.0 100.0 100.0 100.0 Total Source: Uganda Bureau of Statistics 3.8.3.2 Tourist Arrivals by Mode of Travel There are two major forms of passenger travel into and out of Uganda namely: Air and Road, out of the 22 gazetted entry points, only Entebbe International Airport can be accessed by air. The other points are only accessible by road. The number of tourist arrivals by air transport increased by 7.5 percent between 2015 and 2016. Majority of Tourist Arrivals used road transport although the number declined from about 901,000 in 2015 to about 890,000 in 2016.The number of tourist arrivals remained fairly constant between 2012 and 2013. Tourist Arrivals ('000) Figure 3.8.2: Tourist Arrivals by Mode of Transport (‘000s), 2012 – 2016 1000 800 600 781 416 783 423 901 823 443 402 890 432 400 200 0 2012 2013 2014 2015 2016 Year 3.8.3.3 Age-Sex Composition of Tourist Arrivals. The male population has consistently dominated the tourist arrivals into Uganda. On average they constituted over 70 percent of the Tourist Arrivals during the past five years (2012 -2016). In 2016, the majority (54 percent) of the tourist arrivals were in the age group of 20-39 years followed by the age group of 40-59 years (35 percent) Appendix Table 3.8.N. 3.8.3.4 Tourist Arrivals by Purpose of Visit Table 3.8.4 shows that the majority of Tourists Arrivals came into the country to visit friends and relatives, followed by those who came to attend business and professional conferences. The number of tourists arriving 85 for leisure, recreation and holidays increased by 14.2 percent while the tourist arrivals to visit friends and relatives also increased 10.0 percent in 2016. Table 3.8.4: Tourist Arrivals by purpose of visit (‘000s), 2012 – 2016 percentage Purpose of Visit 2012 2013 2014 2015 2016 Change 20152016 Leisure, recreation and holidays 148 188 220 208 237 14.2 Business and professional conferences 205 223 232 322 290 (10.0) Visiting friends and relatives 383 528 441 453 499 10.0 Others* Total 461 267 373 320 297 (7.2) 1,197 1,206 1,266 1,303 1,323 1.5 Source: Uganda Bureau of Statistics * ‘Others’ includes travelers in transit, those in temporary employment and short-term contract/consultancy etc. 3.8.4 Visits to National Parks Uganda has twelve national parks and three active game reserves. These offer a wide range of tourism products including gorilla tracking, nature guided walks, village walks, butterfly, bird watching, rare fauna and flora species. Figure 3.8.3 shows that a 13 percent increase in the number of visits to the national parks was observed between 2015 and 2016. The most commonly visited national park in 2016 was Queen Elizabeth with a share of 35 percent of the total visitors, followed by Murchison Falls (31 percent) and Lake Mburo National Park (11 percent), Appendix Table 3.8 O. No. of Visitors to National Parks ('000) Figure 3.8.3: Visits to National Parks (000’s), 2012 – 2016 300 250 200 182 214 203 216 2013 2014 2015 246 150 100 50 0 2012 2016 Years Figure 3.7.4 shows the distribution of visits to the national parks in 2016 by residency. The highest percentage (39 percent) of visits to national parks were non-residents of foreign origin followed by Ugandan students and residents from East African partner states accounting for 29 percent and 25 percent, respectively. 86 Figure 3.8.4: 2016 Visits to national parks by residency, percentage Students Uganda 29% EAC Residents 25% Others 1% Foreigners Non residents 39% Foreigners Residents 6% 87 CHAPTER FOUR MACROECONOMIC STATISTICS 4.1 National Accounts 4.1.1 Introduction The revised Gross Domestic Product (GDP) estimates for the fiscal year (FY) 2016/17 indicate that the economy grew by 4.0 percent, which is 0.7 percentage points less than the growth of 4.7 percent achieved in FY 2015/16. In terms of real GDP at basic prices (excluding taxes less subsidies), the economy is estimated to have similarly grown by 4.2 percent in FY 2016/17, which is a weaker growth compared to the growth of 4.9 percent that was registered in FY 2015/16. Table 4.1: GDP at Market and Basic Prices, Bill shs, FY, 2012/13 – 2016/17 2012/13 2013/14 2014/15 2015/16 2016/17 GDP at Current market prices 63,740 69,276 76,517 82,903 91,351 GDP at Current Basic prices 59,172 64,160 70,336 76,235 84,042 GDP at Constant prices GDP at Constant Basic prices 48,190 44,384 50,651 46,561 53,279 48,785 55,760 51,169 57,971 53,328 GDP Market Price, Percentage change 5.1 5.2 4.7 4.0 GDP Basic Price, Percentage change 4.9 4.8 4.9 4.2 Source: Uganda Bureau of Statistics 4.1.2 Production Sector Performance In terms of sector performance, the revised numbers indicte the growth as; services sector grew by 5.7 percent, agriculture by 1.6 percent and industry by 3.3 percent. The main drivers of growth for services sector were information and communication services, education, accommodation & food services; fishing and forestry growing activities for agriculture sector, and construction, electricity and water supply activities for industry sector. There was, however, a notable slowdown or decline in the performance of professional, scientific & tech services, administrative & support services, and arts, entertainment & recreation. Below is the breakdown of sector perfomances. Table 4.2: Value Added at Current Prices by Sectors, Bill shs. 2012/13 2013/14 2014/15 2015/16 2016/17 Agriculture, forestry and fishing 16,241 17,371 18,350 19,655 22,744 Industry 13,150 14,140 15,311 17,141 18,256 Services 29,781 32,650 36,675 39,439 43,042 4,569 5,116 6,181 6,668 7,310 63,740 69,276 76,517 82,903 91,351 Taxes on products GDP at Current market prices Source: Uganda Bureau of Statistics 88 4.1.3 Agriculture, forestry and fishing Sector The revised figure for value added of agricultural activities that include cash crops, food crops, livestock, fishing and forestry grew by 1.6 percent. The cash crops activities are estimated to have grown 4.3 percent in 2016/17. Fishing activities registered a growth of 1.7 percent in the same period. Livestock activities grew by 1.6 percent; forestry activities grew by 1.1 percent; food crops activities grew by 1.4 percent for the FY 2016/17. The share of agriculture sector to total GDP at current prices was 24.9 percent in FY 2016/17 compared to 23.7 percent in the previous FY. Table 4.3: Constant Prices Value Added for Agricultural Sector, Bill shs. Activity Cash crops Food crops Livestock Agriculture Support Services Forestry Fishing Agriculture, forestry and fishing Source: Uganda Bureau of Statistics 4.1.3.1 2012/13 2013/14 2014/15 2015/16 2016/17 872 5,945 1,993 12 1,962 569 11,353 869 6,118 2,048 12 2,031 581 11,659 903 6,253 2,108 14 2,065 590 11,932 975 6,332 2,166 13 2,163 618 12,267 1,016 6,423 2,201 14 2,187 628 12,469 Cash crops The cash crops growing activities include coffee, cotton, tea, cocoa, tobacco, sugar cane and horticultural products. These activities are estimated to have declined by 4.3 percent in FY 2016/17 compared to a 7.9 percent growth achieved in 2015/16. The cash crops that contributed to the positive growth include coffee (14.8 percent), cotton (22.3 percent), and Sugar cane (8.9 percent). Notable cash crops that registered declines include tea (19.3 percent), Cocoa (13.9 percent), flowers (19.3 percent) vanilla (56.9 percent), tobacco (48.3 percent) and Palm (9.5 percent). In terms of contribution to total GDP, at current prices, cash crops growing activities are estimated to contribute to 1.8 percent compare to 2.0 percent in FY 2016/17. 4.1.3.2 Food crops Food crops growing activities are estimated to have grown by 1.3 percent in the FY 2016/17 compared to the growth of 2.3 percent in FY 2015/16. Growth was recorded in the following food crops; maize (1.2 percent), cassava (1.3 percent), beans (2.2 percent), sorghum (0.5 percent). Notably, food crops that recorded a decline include; bananas (0.2 percent), millet (1.0 percent), sun flower (0.9 percent), soya beans (0.8 percent). Food crops growing activities contribution to total GDP stood at 13.5 percent in 2016/17 compared to 12.1 percent registered in 2015/16. 4.1.3.3 Livestock Livestock farming activities are estimated to have grown by 1.6 percent compared to a stronger growth of 2.6 percent in 2015/16. The contribution to total GDP of livestock raring activities in 2016/17 stood at 4.2 percent compared to 4.3 percent as in 2015/16. 89 4.1.3.4 Forestry Forestry activities are estimated to have grown by 1.1 percent in 2016/17, a 3.6 percentage point decline from the 4.7 percent growth registered in 2014/15. The forestry activities contributed 3.6 percent to total GDP in 2016/17 from 3.9 percent in previous year. 4.1.3.5 Fishing Fishing activities are estimated to have grown by 1.7 percent in 2016/17 from a strong growth 4.8 percent registered in 2015/16. The growth was mainly due to recovery of the fishing activities following tougher measures that enforced the fishing laws and regulations. The contribution of fishing activities to GDP, at current prices, remained at 1.6 percent in 2016/17 as in 2015/16. 4.1.4 Industry Sector The industry sector is estimated to have grown by 3.3 percent in 2016/17 which is a slowdown from the 4.6 percent growth achieved in previous year, largely driven by a weak performance in the construction activities. Consequently, the contribution of industry to total GDP reduced to 20.0 percent in 2016/17 from 20.7 percent in 2015/16. Table 4.4: Constant Prices Value Added for Industry activities, Bill shs. Mining & quarrying Manufacturing 2012/13 2013/14 2014/15 2015/16 2016/17 631 666 787 884 802 4,405 3,759 3,840 4,287 4,312 Electricity 453 461 487 507 549 Water 920 979 1,038 1,104 1,179 Construction 2,936 3,303 3,368 3,613 3,834 Industry 8,515 8,698 9,249 9,967 10,420 4.1.4.1 Mining and quarrying Mining and quarrying activities are estimated to have declined by 9.3 percent in 2016/17 compared to a strong growth of 12.4 percent for 2015/16. The decline in mining & quarrying activities led to a fall in its contribution to total GDP to 0.6 percent from 0.7 percent in 2015/16. 90 4.1.4.2 Manufacturing Manufacturing activities are estimated to have grown by 2.1 percent in 2016/17 compared with a 0.6 percent growth registered in 2015/16. The recovery in manufacturing activities was mainly due to better performance in production activities like sugar production, soft drinks, chemical & pharmaceuticals, cement & lime, and iron & steel. However, decline was recorded in grain & starch milling, leather & foot wear, textile and garments in 2016/17. As a result, preliminary GDP estimates show that the share of manufacturing activities to the total GDP reduced to 8.2 percent in 2016/17 compared to the share of 8.7 percent in 2015/16. 4.1.4.3 Electricity Supply Electricity supply activities are estimated to have grown by 8.3 percent in 2016/17 compared to a growth of 4.0 percent in 2015/16. The contribution to total GDP in 2016/17 was 1.0 percent, which was the same percent registered in 2015/16. 4.1.4.4 Water Supply The water supply activities are estimated to have grown by a 6.8 percent in FY 2016/17, from a 6.3 percent growth in 2015/16. The contribution of water supply activities to total GDP was 2.8 percent in 2015/16, compared to 2.7 percent registered in 2015/16. 4.1.4.5 Construction The construction activities are estimated to have grown by 6.1 percent in 2016/17, which is a weaker growth by 1.2 percentage points compared to the growth of 7.3 percent achieved in 2015/16. The slow growth in construction activities was largely driven by the weak private investments in the construction of buildings. The construction activities contributed 7.4 percent to the total GDP in 2016/17 compared to the share of 7.6 percent in 2015/16. 4.1.5 Services Sector The services sector is estimated to have expanded by 5.7 percent in 2016/17, which is 0.2 percentage points lower than the growth of 5.9 percent registered in 2015/16. The services sector contribution to total GDP was 47.1 percent in 2016/17 compared to 47.6 percent in 2015/16. 91 4.5: Constant Prices Value Added for Service activities, Bill shs, 2009/10=100. 2012/13 2013/14 2014/15 2015/16 2016/17 Trade and Repairs 6,005 5,895 6,081 6,288 6,419 Transportation and Storage 1,323 1,403 1,495 1,617 1,674 Accommodation and Food Service Activities 1,146 1,246 1,241 1,312 1,410 Information and Communication 3,836 4,392 4,315 4,922 5,657 Financial and Insurance Activities 1,160 1,367 1,516 1,600 1,618 Real Estate Activities 2,472 2,627 2,798 2,968 3,133 Professional, Scientific and Technical Activities 1,476 1,489 1,405 1,401 1,359 709 767 962 829 789 Public Administration 1,353 1,361 1,690 1,832 1,870 Education 2,611 2,726 2,868 3,093 3,375 Human Health and Social Work Activities 1,402 1,476 1,556 1,608 1,687 Arts, Entertainment and Recreation 137 146 153 146 142 Other Service Activities 468 518 558 610 691 Activities of Households as Employers 235 241 247 256 266 24,334 25,653 26,886 28,482 30,091 Administrative and Support Service Activities Services Source: Uganda Bureau of Statistics 4.1.5.1 Wholesale and retail trade; repairs The wholesale, retail trade and repairs activities were estimated to have grown by 2.1 percent in FY 2016/17, down from the 3.4 percent registered in FY 2015/16. The slowdown in these activities could be linked to the weak growth of agriculture activities which grew by 1.6 percent in 2016/17. Wholesale and retail trade; repairs contribution to total GDP, at current prices, was 12.0 percent in 2016/17, which is 0.8 percentage points lower than the 12.8 percent of 2015/16. 4.1.5.2 Transport and Storage The preliminary estimates show that transport and storage activities grew by 3.6 percent in 2016/17, which dropped by 4.5 percentage points from the growth of 8.1 percent recorded in 2015/16. The contribution to total GDP at current prices of the transport and storage activities was 3.0 percent in 2016/17, which is lower than the 3.1 percent of 2015/16. 4.1.5.3 Public administration Public administration activities grew by 2.1 percent in 2016/17 compared to a growth of 8.4 percent registered in 2015/16. The contribution to total GDP at current prices of public administration activities remained at 3.1 percent in 2016/17 as in 2015/16. 4.1.5.4 Education Education activities grew by 9.1 percent in 2016/17, which is a robust performance compared to a growth of 7.8 percent achieved in 2015/16. Contribution to total GDP at current prices of education activities grew to 7.3 percent in 2016/17 compared to 6.4 percent in 2015/16. 92 4.1.5.5 Human Health & Social Work Human health & social work activities grew by 4.9 percent in 2016/17 compared to the 3.4 percent growth recorded in 2015/16. The contribution to total GDP at current prices of human health and social work activities was estimated to be 3.1 percent in 2016/17 compared to 3.2 percent in 2015/16. 4.1.5.6 Accommodation and Food Services Accommodation and food services registered a strong growth of 7.5 percent in 2016/17 compared with a 5.7 percent growth recorded in 2015/16. The performance was stimulated by the increased inflows of foreign visitors to the country. The contribution to total GDP at current prices in 2016/17 was 2.7 percent compared to 2.6 percent in 2015/16. 4.1.5.7 Information and communications services Information and communications services grew by 14.9 percent in 2016/17, compared to a 14.1 percent growth recorded in the previous year. The information and communications services contribution to GDP, at current prices, was 2.3 percent in 2016/17 compared to 2.6 percent in 2015/16. 4.1.5.8 Financial Services Financial services activities comprising of the Central Bank, Commercial Banking, Insurance, Foreign Exchange Bureaus and other Activities Auxiliary to Financial Intermediation are estimated to have increased by 1.1 percent in 2016/17 compared to a growth of 5.8 percent in 2015/16. Financial services contribution to total GDP stablised at 3.1 percent in 2016/17, as well as in 2015/16. 4.1.5.9 Real estate activities Real estate activities that include, activities of rental and owner occupied building activities – are estimated to have grown by 5.6 percent in 2016/17. This is a lower growth by 0.5 percentage points from the growth of 6.1 percent registered in 2015/16. The share of real estate activities to total GDP was 4.5 percent in 2016/17 compared to 4.6 percent in the previous period. 4.1.5.10 Professional scientific and technical services Professional, scientific and technical services contracted by 3.0 percent in 2016/17 following another earlier decline of 0.3 percent in 2015/16. Their contribution to the total GDP reduced to 2.5 percent in 2016/17 from 2.6 percent that was registered in 2015/16. 4.1.5.11 Administrative and support services activities Administrative and support services contracted by 4.8 percent in 2016/17 from a previous decline of 13.9 percent recorded in 2015/16. This led to a decline in its contribution to total GDP that reduced to 1.4 percent in 2016/17 from 1.6 percent recorded in FY 2015/16. 93 4.1.5.12 Arts entertainment and recreation activities Arts, entertainment and recreation activities also contracted by 2.3 percent in 2016/17 compared to a 5.0 percent decline recorded in 2015/16. The contribution to total GDP at current prices for arts, entertainment and recreation activities was estimated at 0.3 percent constant for the past six years 4.1.5.13 Other service activities Other services activity is comprised of the following; all other business activities such as renting of transport equipment, machinery and other equipment; household and a variety of personal service activities not covered elsewhere in the classification. These activities grew by 13.3 percent in 2016/17 which was a higher growth than the 9.2 percent growth in 2015/16. The other service activities contribution to total GDP was 1.3 percent in 2016/17 compared to 1.2 percent recorded in 205/16. 4.1.5.14 Activities of households as employers Activities of households as employers grew by 4.1 percent in 2016/17, a higher growth than the 3.4 percentage growth in 2015/16. 4.1.5.15 Taxes on products Taxes on products grew by 1.1 percent in 2016/17 compared to the growth of 2.1 percent in 2015/16. The taxes on products contributed 8.0 percent to total GDP in 2016/17 as was the contribution in 2015/16. 4.1.6 Expenditure on GDP 4.1.6.2 Final consumption expenditure Final consumption expenditure constitutes expenditure by Households, Government and Non Profit Institutions Serving Households (NPISH) on goods or services that are used for the direct satisfaction of individual needs or wants or the collective needs of members of the community. Final consumption expenditure grew by 1.4 percent in 2016/17 compared to a 0.7 percent decline registered in 2015/16. 4.1.6.3 Household final consumption expenditure Household final consumption expenditure is estimated to have grown by 2.9 percent in 2016/17 compared to a decline of 0.3 percent in 2015/16. 4.1.6.4 General Government consumption expenditure Government final consumption expenditure further declined by 10.9 percent in FY 2016/17 following a decline of 5.1 percent registered in 2015/16. 94 4.1.6.5 Non Profit Intitutions Serving Households (NPISH) final consumption expenditure The NPISH consumption expenditure is estimated to have grown by 4.3 percent in 2016/17 compared to a growth of 3.8 percent recorded in 2015/16. 4.1.6.6 Gross fixed capital formation Gross fixed capital formation includes accumulation of capital in the following; dwellings & structures, transport equipment, ICT equipment, other machinery & equipment, among others. The gross fixed capital formation (GFCF) is estimated to have increased by 0.1 percent in 2016/17 compared to a strong growth of 8.4 percent registered in 2015/16. 4.1.6.7 Changes in inventories Changes in inventories recorded a 0.0 percent growth in 2016/17 as was the case in 2015/16. 4.1.6.8 Exports and Imports of goods & services Exports of goods & services declined by 2.2 percent in 2016/17 compared to a growth of 2.9 percent in 2015/16. Imports of goods & services declined by 12.5 percent in 2016/17 compared to a decline of 9.3 percent in 2015/16. The regress in imports coupled with a decline in exports resulted in a decline in the net exports by 31.9 percent in 2016/17 compared to a decline of 25.8 percent in 2015/16. 4.1.7 Balance of Payments Balance of payments (BoP) statement summarises all transactions between a country's residents and its nonresidents involving goods, services and income; financial claims on and liabilities to the rest of the world; and transfers such as gifts. Within the BOP, there are three separate categories under which different transactions are categorized: the current account, the capital account and the financial account. The overall BoP balance stood at a deficit of 319.0 million US dollars in 2016/17 following a previous deficit of 101.5 million US dollars recorded in 2015/16. 4.1.7.1 Current Account Balance The current account is the sums of the balance of trade (goods and services exports less imports), net income from abroad and net current transfers. The current account balance registered a deficit of 840.9 million US dollars in 2016/17 compared to which is a smaller deficit compared to a deficit of 1,522.2 million US dollars in 2015/16. The 2016/17 deficit is smaller than that recorded in 2015/16 due to a decline of imports and growth in export of goods. Net exports grew by 17.1 percent while imports declined by 3.8 percent in 2016/16. 95 Net export of services improved from a deficit of 555.0 million US dollars in 2015/16 to a deficit of 519.0 million US dollars in 2016/17 while secondary incomes grew by 7.3 percent during the same year. See Statistical Appendix Table 4.1 U. 4.1.7.2 Capital and Financial Account Balance The capital account combined with the financial account represents the transfer of capital to help pay for the current account, which includes the trade of goods and services. The capital account balance grew by 39.8 percent from 119.8 million US dollars in 2015/16 to 167.5 million US dollars in 2016/17. Financial account components include direct investment, portfolio investment and reserve assets, which are broken down by sector. From the financial account, Net borrowing registered a deficit of 602.8 million US dollars in 2016/17 from a deficit of 939.7 million US dollars in 2015/16. Similarly, direct investments registered a deficit of 413.2 million US dollars in 2016/17 as compared to a deficit of 529.9 million US dollars registered in 2015/16. See Statistical Appendix Table 4.1U. 96 4.2 Price Statistics 4.2.1 Consumer Price Index (CPI) This section presents statistics on Consumer Price Indices (CPIs) for goods and services consumed by households within the economic territory. The national CPI covers eight urban centers of Kampala, Jinja, Mbale, Masaka, Mbarara, Gulu, Arua and Fort Portal. Apart from Kampala, each of the urban centres has an independent consumption basket of goods and services. However, the consumption of Kampala is decomposed into 3 consumption baskets; these are, Kampala High Income (KHI), Kampala Middle Income (KMI) and Kampala Low Income (KLI). Thus, in all, the Uganda national CPI is a composition of 10 consumption baskets. Also presented in this publication are the average market prices of selected goods for the consumption baskets of Kampala High, Kampala Middle and Kampala Low income groups. 4.2.1.1 Headline Inflation Headline Inflation is the measure of the relative change in prices of all goods and services for all the 10 consumption baskets. The 2016 Calendar Year registered a slightly higher annual average inflation of 5.5 percent compared to the annual average inflation of 5.4 percent recorded for the 2015 Calendar Year, as shown in Figure 4.2.1. The relatively higher rate (5.5 percent) recorded in 2016 was due to an increases in core inflation and in the Energy, Fuel and Utilities ( EFU) inflation compared to the 2015 calendar year. Index Figure 4.2.1: Headline Index and Annual Average Inflation 2013 –2016 180.00 160.00 140.00 120.00 100.00 80.00 60.00 40.00 20.00 0.00 2012 2013 2014 2015 2016 Years All Items Index Annual % change The urban centre of Arua recorded the highest annual average inflation of 6.9 percent in 2016 compared to 4.8 percent recorded in 2015. This was followed by Kampala Low Income (KLI) that registered an annual average inflation of 6.4 percent in 2016 compared to 5.6 percent recorded for the 2015. The lowest annual average inflation for the 2016 Calendar Year was recorded in the urban area of Mbale at 3.5 percent and the same change of 3.5 percent was observed in 2015. The Financial Year 2015/16 registered an annual average inflation of 6.6 percent compared to the 2.9 percent annual average inflation recorded during the 2014/15 97 financial year. Detailed annual average inflation for each of the 10 consumption baskets are presented in the Statistical Appendix. Tables 4.2 F – 4.2O. Figure 4.2.2: Headline Inflation by Basket (Centre) 2015 and 2016 Arua Jinja Fortportal All baskets Gulu Mbale - 4.2.1.2 1.0 2.0 3.0 4.0 2016 2015 5.0 6.0 7.0 8.0 Core Inflation Core Inflation measures relative changes in the prices of all goods and services in the consumption expenditure basket excluding fresh fruits, fresh vegetables, dried vegetables and fresh milk. Also excluded are tobacco leaves, electricity, petrol, diesel, paraffin, charcoal, propane gas, metered water and unmetered water. The annual average Core Inflation rose to 6.0 percent in 2016 from the 5.4 percent recorded during the 2015 calendar year as shown in Figure 4.2.3. The increase in the inflation was attributed to increases in prices of Education services, Alcoholic beverages, Restaurants, Hotels and Miscellaneous goods and services during the calendar year 2016 compared to 2015 Calendar Year. The annual average core inflation for the 2015/16 financial year increased to 6.7 percent from the 3.2 percent recorded during the 2014/15 financial year (see Statistical Appendix Table 4.2 A). Figure 4.2.3: Food Crops, Core and EFU Average Annual Inflation 2012 – 2016 25.0 Headline Index Core Food Crops and Related Items Energy Fuel and Utilities 20.0 15.0 10.0 5.0 2012 2013 2014 98 2015 2016 4.2.1.3 Food Crops Inflation As shown in Figure 4.2.3 above, the annual average Food Crops inflation for 2016 Calendar Year decreased to 3.1 percent from 6.7 percent recorded for the 2015 Calendar Year. The decrease in the annual average food crops inflation is attributed to good harvests experienced during the year, which led to increased supplies of fresh food products on the market during the 2016 Calendar Year. The 2015/16 Financial Year, registered a higher annual average food crops inflation of 5.5 percent compared to the 1.4 percent recorded for 2014/15 Financial Year (see Statistical Appendix Table 4.2 A). 4.2.1.4 Energy, Fuel and Utilities (EFU) Inflation During the 2016 calendar year, the local market continued to register relatively higher prices of fuel. This resulted into the annual average EFU Inflation to be registered at 3.9 percent from 3.5 percent recorded during the 2015 Calendar Year (see Statistical Appendix Table 4.2 A). The 2015/16 financial year, registered a higher annual average inflation of 6.7 percent was observed compared to 1.8 percent registered in 2014/15. 4.2.1.5 Major Inflation drivers during the CY 2016 Over the 12 months of 2016, the national annual average Index rose by 5.5 percent. The main driver was Education that registered 14.8 percent in 2016 compared to 6.4 percent recorded for 2015. Others were; Alcoholic Beverages, Tobacco & Narcotics (5.4 percent), Restaurants and Hotels (6.2 percent), Miscellaneous Goods and Services (6.6 percent) and Transport (4.4 percent). (See Statistical Appendix Table 4.2 E). 4.2.2 Producer Price Index - Manufacturing The Producer Price Index for Manufacturing (PPI-M) is an index that measures change in the prices of a basket of products either as they leave their place of production (Output Price Index) or as they enter the production process (Input Price Index). The current PPI-M is an Output Price Index with its base period being the quarter of July to September 2004. Its coverage is restricted to businesses in the manufacturing sector and the structure of the PPI-M is such that it includes goods produced for both the local and export market (Combined), with the former representing 79.0 percent and the latter representing 21.0 percent. The index covers eight broad manufacturing industry groups. The groups are: i. Food Processing; ii. Drinks and Tobacco; iii. Textiles, Clothing and Foot wear; iv. Paper Products; v. Chemicals, Paint, Soap and Foam products; vi. Bricks and Cement; vii. Metals and Related products; and viii. Miscellaneous Products. 99 4.2.2.1 PPI-M (Combined) Annual Percentage Changes, Calendar Year The PPI-M (Combined) was at 272.1 for the calendar year ended December 2015 and rose on average by 3.6 percent to 281.7 for the year ended December 2016. The increment in the producer prices was mainly in the subsectors of Food Processing (6.8 percent), Paper Products and Printing (2.2 percent), Textile, Clothing and Footwear (6.1 percent), Chemicals, Paint, Soap and Foam Products (5.5 percent), Bricks and Cement (2.4 percent) and Metal Products (1.7 percent) as represented in Table 4..2.1 below and Statistical Appendix-Table 4.2 S. Table 4.2.1 PPI-M (Combined) Annual Percentage Changes: July to Sept 2004=100, CY Group Base Period Weights PPI-M (Combined) Indices 2012 2013 2014 2015 2016 252.81 255.79 254.4 272.06 281.73 1,000 5.25 1.18 -0.54 6.94 3.64 Food Processing 419 3.24 0.55 -1.49 9.4 6.84 Drinks and Tobacco 185 3.74 9.01 -0.91 4.62 -3.07 Textiles, Clothing and Footwear 42 47.38 1.01 4.56 12.66 6.12 Paper Products and Printing 48 2.49 -2.32 11.38 7.26 2.18 106 3.96 3.14 -4.63 0.26 5.54 Bricks and Cement 68 11.84 -1.69 -0.05 11.46 2.36 Metal Products 91 4.9 -2.1 -3.72 1.37 1.7 Miscellaneous 41 11.74 2.29 0.28 8.53 -0.84 PPI-M (Combined) Changes Chemicals, Paint, Soap and Foam Products Source: Uganda Bureau of Statistics 4.2.2.2 PPI-M (Combined) Annual Percentage Changes, for Fiscal Year The PPI-M (Combined) registered an annual average increment of 8.1 percent from an average index of 258.8 in 2014/15 to 280.1 in 2015/16. The Annual increment was observed in the subsectors of: Food Processing (11.0 percent), Drinks and Tobacco (5.3 percent), Textile, Clothing and Footwear (11.3 percent), and Bricks and Cement products (8.3 percent) as represented in Table 4.2.2 and Statistical Appendix-Table 4.2 T. 100 Table 4.2.2: PPI-M (Combined) Annual Percentage Changes: July to Sept 2004=100, FY Base Period Group Weights 2011/12 2012/13 2013/14 2014/15 2015/16 255.98 255.60 254.41 258.83 280.07 PPI-M (Combined) Indices PPI-M (Combined) Changes 1,000 24.26 -0.14 -0.47 1.74 8.09 Food Processing 419 26.66 -0.76 -2.31 2.88 10.95 Drinks and Tobacco 185 17.10 2.18 4.92 -1.47 5.27 Textiles, Clothing and Footwear 42 105.06 4.63 4.00 7.90 11.33 Paper Products and Printing 48 17.34 -3.88 4.49 10.50 4.54 Chemicals, Paint, Soap and Foam Products 106 21.41 0.66 -0.17 -4.92 4.96 Bricks and Cement 68 20.65 3.12 -3.88 7.41 8.32 Metal Products 91 20.62 -1.94 -3.04 -3.04 4.93 Miscellaneous 41 20.42 4.16 1.20 4.46 4.05 Source: Uganda Bureau of Statistics 4.2.2.3 PPI-M (Local) Annual Percentage Changes, Calendar Year The PPI-M (Local) registered an annual average increment of 3.0 percent from an average index of 249.4 in 2015 to 256.8 in 2016. The annual increment was due to a increment in prices of Chemicals, Paint, Soap and Foam Products (5.9 percent), Food Processing (3.7 percent), Drinks and Tobacco (1.7 percent), Textiles, Clothing and Footwear (5.3 percent), Paper Products and Printing (1.9 percent, Bricks and Cement products (1.3 percent) and Metal products (2.4 percent). On the contrary, the miscellaneous subsector registered a 1.3 percent fall as represented in Table 4.2.3 and Statistical Appendix-Table 4.2 U. Table 4.2.3 PPI-M (Local) Annual Percentage Changes: July to Sept 2004=100, CY Base Period Group Weights PPI-M (Local) Indices 2012 2013 2014 2015 2016 233.87 235.63 230.42 249.36 256.80 PPI-M (Local) Changes 791 7.81 0.75 -2.21 8.22 3.03 Food Processing 269 7.28 -0.14 -4.30 11.62 3.71 Drinks and Tobacco 168 10.36 8.60 -0.39 9.79 1.72 Textiles, Clothing and Footwear 29 33.36 1.62 4.26 14.55 5.25 Paper Products and Printing 47 2.42 -0.75 10.35 6.73 1.93 Chemicals, Paint, Soap and Foam Products 100 3.25 3.19 -4.88 -0.53 5.89 Bricks and Cement 59 13.96 -0.55 -0.48 8.99 1.26 Metal Products 80 5.28 -2.63 -2.32 2.61 2.40 Miscellaneous 39 12.11 2.33 0.22 8.13 -1.31 Source: Uganda Bureau of Statistics 4.2.2.4 PPI-M (Local) Annual Percentage Changes, Fiscal year In the Fiscal year 2015/16, the PPI-M (Local) had an annual average increment of 7.0 percent from an average index of 237.9 in the Fiscal year 2014/15 to 255.8 in the Fiscal year 2015/16. The Annual increment was due to a notable increment in the following subsectors; Food Processing (10.1 percent), Textiles, Clothing and 101 Footwear (10.8 percent), Chemicals, Paint, Soap and Foam products (5.3 percent), Bricks and Cement products (6.2 percent) and Metal Products (5.4 percent) as represented in Table 4.2.4 and Statistical Appendix-Table 4.2 V. Table 4.2.4 PPI-M (Local) Annual Percentage Changes: July to Sept 2004=100, FY Base Period Group Weights PPI-M (Local) Indices 2011/12 2012/13 2013/14 2014/15 2015/16 255.75 234.15 235.81 231.07 237.87 PPI-M (Local) Changes 791 25.18 0.71 -2.01 2.95 6.96 Food Processing 269 30.32 0.27 -4.74 3.57 10.09 Drinks and Tobacco 168 14.70 8.74 1.26 7.17 4.48 Textiles, Clothing and Footwear 29 80.36 2.55 4.42 8.11 10.82 Paper Products and Printing 47 17.49 -4.05 5.20 10.39 3.36 Chemicals, Paint, Soap and Foam Products 100 20.08 0.63 -0.10 -5.73 5.27 Bricks and Cement 59 22.49 4.58 -3.24 6.03 6.20 Metal Products 80 20.47 -3.26 -2.03 -1.26 5.40 Miscellaneous 39 21.30 4.13 1.30 4.28 2.26 Source: Uganda Bureau of Statistics 4.2.2.5 PPI-M (Export) Annual Percentage Changes, Calendar Year The PPI-M (Export) for the calendar year 2016 was at 365.4 thus registering an annual average increment of 4.8 percent from an annual average index of 348.2 in the calendar year 2015. The Annual increment was due to notable increments in the following subsectors; Food Processing (11.8 percent), Bricks and Cement (7.1 percent), Miscellaneous (5.1 percent) and Paper Products and Printing (3.8 percent), On the contrary, the following subsectors registered annual decrements; Metal products (-0.3 percent), Drinks and Tobacco (-4.9 percent) and Textiles, Clothing and Footwear (-8.9 percent) and as represented in Table 4.2.5 and Statistical Appendix-Table 4.2.W. Table 4.2.5 PPI-M (Export) Annual Percentage Changes: CY 2012-2016, July to Sept 2004=100, Group Weights 2012 2013 2014 2015 2016 PPI-M (Export) Food Processing 209 150 -0.59 -1.89 4.34 3.34 2.27 5.35 1.52 0.22 4.79 11.82 Drinks and Tobacco 17 -2.40 5.78 -4.02 -1.67 -4.94 Textiles, Clothing and Footwear 13 44.01 9.09 3.86 22.44 -8.91 Paper Products and Printing 1 -2.91 -0.34 -5.04 14.18 3.75 Chemicals, Paint, Soap and Foam Products 6 17.31 2.15 -0.26 14.63 -5.49 Bricks and Cement 9 0.41 -14.61 1.34 42.71 7.13 Metal Products 11 2.14 0.99 -13.07 -7.23 -0.26 Miscellaneous 2 2.53 1.56 1.50 14.70 5.12 Source: Uganda Bureau of Statistics 4.2.2.6 PPI-M (Export) Annual Percentage Changes, Fiscal Year The PPI-M (Export) for the Fiscal year 2015/16 stood at 356.8 as compared to 334.3 for the Fiscal year 2014/15 thus registering an annual average increase of 10.2 percent. The average annual increase was due to 102 notable increments in the following subsectors; Food Processing (10.1 percent), Paper Products and Printing (13.1 percent), Bricks and Cement (29.1 percent) and Miscellaneous (14.9 percent) as represented in Table 4.2.6 and Statistical Appendix - Table 4.2 X. Table 4.2.6 PPI-M (Export) Annual Percentage Changes, FY 2011/12-2015/16 July to Sept 2004=100 Group Weights 2011/12 2012/13 2013/14 2014/15 2015/16 PPI-M (Export) Indices 336.63 329.03 342.93 334.29 356.79 PPI-M (Export) Changes 209 22.25 -2.26 4.22 -2.52 10.22 Food Processing 150 20.80 -1.52 4.36 -0.25 10.05 Drinks and Tobacco 17 19.65 -6.48 4.29 -8.84 1.92 Textiles, Clothing and Footwear 13 83.74 28.17 -2.27 15.60 8.85 Paper Products and Printing 1 9.96 0.52 -8.34 5.25 13.05 Chemicals, Paint, Soap and Foam Products 6 47.67 2.61 -2.38 10.39 4.90 Bricks and Cement 9 12.04 -9.73 -14.09 28.63 29.08 Metal Products 11 21.40 5.93 -9.49 -14.38 1.69 Miscellaneous 2 1.73 4.93 -0.75 7.75 14.89 Source: Uganda Bureau of Statistics 4.2.3 Producer Price Index- Hotels & Restaurants The producer Price Index for Hotels and Restaurants (PPI- H&R) measures the average change in the prices that Hotel and Restaurant Service providers receive for their services. It is an Output Price Index designed to reflect the price trend of a constant well-defined and representative basket of services provided by hoteliers. The Index is divided into two sub-sectors and these are; Accommodation and Catering services. The Catering services are further divided into two categories; Food and snacks and Drinks as shown in Table 4.2.7. The prices collected exclude all taxes and other levies. The base period for this index is the first quarter of 2008 and covers a sample of 100 hotels and restaurants across the country (January- March 2008). 4.2.3.1 Annual Average Producer Price changes The annual average producer prices for Hotels and Restaurants Sector rose by 1.4 percent in the year 2016, compared with the increase of 14.3 percent for the previous year. Accommodation and Catering service prices as sub-sectors rose by 0.1 and 4.2 percent respectively. The rise in the Catering services subsector was mainly attributed to a 3.3 percent rise in prices of Food & Snacks and a 6.8 percent rise in Drinks prices as shown in Table 4.2.7 and Statistical Appendix Table 4.2Y. 103 Table 4.2.7: PPI-H&R: Annual Percentage Changes CY, 2012-2016 Industry Group Hotels and restaurants Accommodation Hotel accommodation (rooms, suites etc.) Other hotel services (e.g. conference halls) Weights 2012 2013 2014 2015 2016 10,000 3,375 5.7 0.7 -0.5 14.3 1.4 2.3 -0.8 -0.1 14.7 0.1 2,675 3.8 -1.1 0.1 15 -0.3 700 -2.1 7.8 9 4.4 5.2 Catering services 6,625 9.2 8.9 9.4 5.3 4.2 Food and snacks 3,075 8.3 10.6 10.8 5.6 3.3 695 11.4 14.7 1.6 7.5 -1.4 Buffet A la carte (specific foods) 1,190 6.3 9.5 13.7 5.6 4.9 Snacks ( light bites, coffee, tea) 1,190 20.3 9.7 11.2 2.4 0.5 Drinks 3,550 10.9 6.9 4 4.6 6.8 Beer 894 8.3 7.5 6.5 4.1 4.1 Soft drinks (sodas) & mineral water 1,309 14.6 7.1 2.8 2.1 5.5 Wines & spirits 1,347 8.4 7.8 2.1 8.6 10.2 Source: Uganda Bureau of Statistics 4.2.4 Construction Sector Indices 4.2.4 Construction Sector Indices The Construction Sector Index (CSI) is an input price index which measures the cost of a given set (basket) of construction goods and services, relative to their cost in the base period. This basket includes the costs of materials, equipment and labour as inputs to the construction sector. The first quarter (January-March) of 2006 is the base period for the CSI. 4.2.4.1 CSI Composition The CSI is composed of Basic Heading and Composite Indices. The Basic Headings are the smallest sets of goods and services which are used to develop Composite Indices. Each Basic Heading covers a reasonably homogeneous set of goods and services, which are maintained over time. For example, items within a Basic Heading are likely to be made from the same material. A list of Basic Headings is given in Statistical Appendix Table 4.2 Z. 4.2.4.2 Annual Changes The average prices in the construction industry increased by 3.6 percent in 2016 compared to 2015 as shown in Table 4.2.8. The sub sector that observed the highest average price change over the year 2016 was the All buildings by 5.5 percent greatly influenced by the Residential buildings where average prices increased by 10.5 percent. Non Residential Buildings witnessed average price change of 3.0 percent. Civil works had average price change of 1.3 percent with both Roads paved and Water projects both increasing average prices by 1.8 percent. The only construction type that observed a reduction in average prices was Water projects by 0.2 percent. 104 Over the period under review (2012-2016), average prices in the overall construction sector registered the highest increase of inputs in 2012 at 7.3 percent, followed by an increase of 3.6 percent in 2016. However, we observe a price drop in construction sector inputs in 2014 by 2.8 percent. Relatedly, civil works had the highest increase in average prices of inputs in 2012 at 6.2 percent, followed by 4.8 percent in 2013 and the lowest increase (0.5 percent) was registered in 2014 while 2016 observed price increments by 1.3 percent. The average price of inputs into All Buildings registered the highest increase (7.6 percent) in 2012, followed by 5.5 percent in 2016. Table 4.2.8: Construction Sector Indices, Jan-Mar 2006=100, Percentage Changes Weight 2012 2013 2014 2015 2016 All Buildings 80 7.6 1.5 -3.5 -0.9 5.5 Residential Buildings 30 7.3 1.3 -8.5 -4.9 10.5 Formal 15 7.9 2.7 -0.7 -5 14.8 Own-account 15 6.6 -0.2 -16.6 -4.6 5.0 Non-Residential Buildings 50 7.8 1.7 -0.7 1.3 3.0 Civil works 20 6.2 4.8 0.5 3.1 1.3 Roads paved 10 5.1 4.9 -0.1 4.6 1.8 Roads gravel 5 5.1 6.2 1.7 1.4 -0.2 Water projects 5 10.1 3.3 0.5 3.2 1.8 Whole sector 100 7.3 2.21 -2.8 0.5 3.6 Source: Uganda Bureau of Statistics 105 4.3 External Trade This section presents a summary of External Trade Statistics in US dollar value and quantity, based on actual flow of goods as recorded by the Customs Department of the Uganda Revenue Authority (URA) and augmented by Non-Customs data sources. In addition, information from the Informal Cross Border Trade (ICBT) survey has been included for the respective neighbouring countries for completeness purposes. The compilation of External Trade statistics is based on the General Trade System and coded according to HS2012 and the Standard International Trade Classification Revision Four (SITC Rev4) nomenclature. 4.3.1 Trade Balance The country continued to experience trade deficits throughout the period (2012 – 2016), with the lowest trade deficit of US$ 1,992.8 million being registered in 2016, while the highest of US$ 3,462.8 million was registered in 2014, as shown in Table 4.3.1. Overall, the trade deficit continued to reduce as a result of reduced imports. 4.3.2 Exports In 2016, total export earnings were US$ 2,901.5 million, of which formal exports were worth US$ 2,482.3 million while informal exports were worth US$ 419.2 million. The overall export earnings increased by 8.8 percent in 2016. The formal exports increased by 9.5 percent in 2016. On the other hand, informal exports increased by 5.0 in 2016. (See Table 4.3.1 below). 4.3.3 Imports The total imports bill in 2016 was US$ 4,894.3 million, of which, formal imports accounted for US$ 4,829.4 million, while informal imports were estimated at US$ 64.9 million. The total imports bill declined by 12.5 percent in 2016 after a previous decrease of 8.9 percent in 2015. The reduction in imports value could be attributed to political uncertainties during the Uganda presidential and parliamentary elections. Table 4.3.1: Summary of external trade statistics: 2011 – 2015 (US$Million) Trade Flow 2012 2013 2014 2015 2016 Informal Exports 453.7 421.3 414.6 399.1 419.2 Formal/Official Exports 2,357.5 2,407.7 2,262.0 2,267.0 2,482.3 Total Exports 2,811.2 2,829.0 2,676.6 2,666.1 2,901.5 53.0 53.7 65.8 64.3 64.9 Formal/Official Imports 6,042.8 5,817.5 6,073.5 5,528.1 4,829.4 Total Imports 6,095.8 5,871.2 6,139.3 5,592.4 4,894.3 Trade Balance -3,284.6 -3,042.1 -3,462.8 -2,926.3 -1,992.8 percent change (Exports 11.8 0.6 -5.4 -0.4 8.8 percent change (Imports 7.2 -3.7 4.6 -8.9 -12.5 Informal Imports 2016 figures are provisional Source: Uganda Bureau of Statistics 106 Figure 4.3.1 below shows the trend of imports, exports and trade balances from 2012 to 2016. From the figure, imports decreased while exports increased in 2016. Although the exports increased by 8.8 percent and the imports bill decreased by 12.5 percent, the trade deficits reduced significantly from US$ 2,926.3 million recorded in 2015 to US$ 1,992.8 million in 2016. Figure 4.3.1: Imports, Exports and Trade Balance 2012 – 2016 (US $ Millions) 8,000 6,000 Value in Million US$ 4,000 2,000 0 2012 2013 2014 2015 2016 -2,000 -4,000 Total Exports Year Total Imports Trade Balance 4.3.4 Main traded Commodities 4.3.1.4 Commodity Exports Basing on the national commodity classification, where exports are categorised into traditional and nontraditional exports, the contribution of the formal Traditional Exports (TEs) to the overall formal export earnings reduced from 25.0 percent in 2015 to 21.7 percent in 2016. This reduction is attributed to the decrease in the coffee and tobacco earnings (See Statistical Appendix Table 4.3 C). Overall, coffee remained the main foreign exchange earner for the five years under review. Its share to total formal exports reduced from 17.8 percent in 2015 to 15.0 percent in 2016. Earnings from tobacco decreased from US$ 72.9 million to US$ 64.1 million in 2016 while that of tea increased to US$ 71.5 million in 2016 from to US$ 70.3 million in 2015. Cotton earnings also increased from US$ 20.8 million in 2015 to US$ 31.6million in 2016. The share of the Non-Traditional Exports (NTEs) to total formal export earnings increased slightly from 75.0 percent in 2015 to 78.3 percent in 2016. Among the NTEs commodities that attracted considerable earnings in 2016 were gold and gold compounds, fish & fish products and petroleum products with percentage shares of 13.7, 4.9 and 4.6 percent respectively as shown in Statistical Appendix Table 4.3 C. Under the Standard International Trade Classification (SITC), Coffee, tea, cocoa, spices, and manufactures thereof took the highest share of formal exports (21.3 percent) in 2016; followed by Gold, non-monetary (13.1percent); then Cereals and cereal preparations (7.3 percent); then Fish, crustaceans and molluscs and 107 preparations thereof (4.9 percent); then Petroleum, petroleum products and related materials (4.8 percent) as indicated in Statistical Appendix Table 4.3 D. 4.3.4.2 Commodity Imports Throughout the period under review, Petroleum and petroleum products took the highest imports bill although its expenditure bill reduced from US$ 1,007.8million in 2015 to US$ 775.0 million in 2016. Overall, the percentage share of petroleum products over total imports decreased from 18.2 percent in 2015 to 16.2 percent of the total import expenditure during 2016. Other goods that took relatively big shares of the import bill were; Road Vehicles (8.5 percent), Medical and pharmaceutical products (6.5 percent), Iron and steel (4.3) and Cereals & cereal preparations (4.0 percent) (See Statistical Appendix Tables 4.3 G and 4.3 H). 4.3.5 Direction of Trade 4.3.5.1 Exports The Common Market for Eastern and Southern Africa (COMESA) regional bloc remained the main destination for Uganda’s exports throughout the last five years under review. However, combined export earnings (formal and informal exports) from the COMESA region decreased from US$ 1,263 million (47.0 percent of total export earnings) in 2015 to US$ 1,226 million (42.2 percent of total export earnings) in 2016 (See Statistical Appendix Tables 4.3I and 4.3J). The other countries in Africa (besides the COMESA countries) ranked the second highest destination for Uganda products, registering a slight decrease in its share from 16.9 percent in 2015 to 15.2 percent in 2016. The European Union (EU) market ranked third highest destination for Uganda products, registering a slight decrease in its share from 16.5 percent in 2015 to 14.8 percent in 2016. Among the countries that contributed to the high export earnings in the COMESA region were Kenya, Democratic Republic Congo and Rwanda amounting to US$ 483 million, US$ 398 million and US$ 227 million, respectively in 2016. While the earnings from South Sudan were the highest among the Other African countries with a value of US$ 281 million (9.7 percent share of the total export earnings) in 2016. Earnings from the European Union were mainly from; Italy (3.4 percent), Netherlands (2.8 percent), Germany Federal Republic (2.6 percent), and Belgium (2.3 percent) of the total exports share in 2016. 4.3.5.2 Imports During the period under review, the Asian continent remained the major source of Uganda’s imports with total expenditure value of US$ 2,976 million in 2015 and US$ 2,491 million in 2016. However, its market share to the total imports dropped from 53.8 percent in 2015 to 50.9 in 2016. This drop is as a result of the decreased import expenditure to India whose share decreased from 20.9 percent in 2015 to 17.1 percent in 2016. (See Statistical Appendix Tables 4.3 E and 4.3 F). 108 The import bill from the Middle East countries ranked second highest with a value of US$ 694 million in 2015 and US$ 741 million in 2016 which constituted about 15.4 percent of the total import bill in 2016. The main trading partners in the region were the United Arab Emirates (UAE) and Saudi Arabia accounting for 8.4 percent and 5.1 percent respectively.(See Statistical Appendix Tables 4.3 E and 4.3 F). The COMESA region followed, with US$ 731 million and US$ 609 million, representing 13.1 percent and 12.4 percent of the total imports bill in 2015 and 2016 respectively. Kenya recorded the highest share of 9.9 percent in the region. 109 4.4 Government Finance Statistics 4.4.1 Introduction This section provides information on the fiscal operations of the General Government. Fiscal operations include the revenue, expenditure and financing of government institutional units. Government revenue is further analyzed by type of revenue while Government expenditure is analysed by economic and functional classification according to GFS 2014 Manual. Government Finance Statistics (GFS) coverage is currently restricted to the General Government sector which comprises of Central Government and Local Government (111 Districts, 22 Municipalities and 174 Town councils) and also non-profit institutions that are controlled and financed by the government. 4.4.2 Central Government revenue During 2015/16, Central Government net revenue rose by 14.5 percent to Shs. 12,645.1 billion from Shs. 11,044.8 billion in 2014/15. Tax revenue remained the principal source of government revenue, accounting for 88.6 percent of total revenue in 2015/16. Throughout the period under review, taxes on goods and services (VAT and Excise taxes) remained the main source of government tax revenue with value added tax accounting for 29 percent of the total revenue while Excise taxes accounted for 25.2 percent. Grants, the largest component of non-tax revenue, was Shs.1, 146.4 billion accounting for 8.9 percent of total revenue in 2015/16. This was about 23.2 percent increase in grants received by Government in comparison to 2014/15. ([See Appendix Tables 4.3 B (a) & 4.3 B (b)]. The revenue collection has significantly increased since 2012/13 with the largest contributor being the central government tax revenue and the lowest being the other Non-tax revenue (i.e. Property income & income from Sale of goods and services such as the administrative fees, fines and penalties etc). VAT and Excise duties have had an upward trend since FY 2012/13, while the export taxes (mainly taxes on hides and skin) have remained relatively low over the period under review. 4.4.3 Central Government Expenditure Central Government expenditure for 2015/16 was shs. 13,708.9 billion compared to the shs. 11,352.9 billion spent in 2014/15 which was a 20.8 percent increment. Out of the total Central Government expenditure for 2015/16, the recurrent expenditure was shs. 6,984.6 billion while development and Donor expenditure were Shs 3,444.3 billion and shs 3,280 billion, respectively. Public administration sector spending continued to overshadow other sectors in recurrent expenditure accounting for 47.2 percent of total recurrent expenditure, followed by the defense sector with 17.3 percent. Public order and safety accounted for 12.1 percent while community development had the least share of recurrent expenditure of about 1.7 percent. 110 During the FY 2015/16, the percentage share of the roads sub-sector under the other economic affairs sector, took the largest share (39.7 percent) of the Central Government development expenditure. The lowest development expenditure was in the health sector accounting for only 3.3 percent of total development expenditure. [See Appendix Tables 4.3 C (b) & 4.3 D (b)) Donor expenditure increased significantly by 70.8 percent from 1,920.5 billion in 2014/15 to 3,280 billion in 2015/16. This increment is attributed to the increase in the expenditure in the energy sector which accounted for 36.7 percent of total donor expenditure in 2015/16. Specifically, the funding was spent on the Karuma and Isimba hydro power projects as a way of enhancing hydroelectricity production. Substantial funds were also spent on the road maintenance and construction sector accounting for 10.3 percent of total donor expenditure in 2015/16. Table 4.3.1: Central Government Expenditure by functional classification, million shillings Function 2014/15 2015/16 Shs. Million Percent share Shs. Million Percent share Recurrent Public Administration 2,619,802 44.2 3,297,339 47.2 Defense 971,988 16.4 1,205,086 17.3 Public Order and Safety 648,376 10.9 843,587 12.1 Education 337,025 5.7 436,566 6.3 Health 370,457 6.3 433,619 6.2 326,182.64 5.5 116,044 1.7 653,066 11.0 652,364 9.3 5,926,897 100 6,984,606 100 Public Administration 531,883 15.2 436,575 12.7 Defense 104,607 3 140,039 4.1 Public Order and Safety 136,752 3.9 256,567 7.4 Education 83,146 2.4 126,315 3.7 Health 48,164 1.4 62,335 1.8 Community Development Other Economic Affairs Sub-total Development Community Development 303,694 8.7 321,922 9.3 Other Economic Affairs 2,297,181 65.5 2,100,547 60.9 Sub-total 3,505,425 100 3,444,301 100 Donor Public Administration 64,638 3.4 76,830 2.3 211,619 11 270,883 8.3 12,417 0.6 124 0 Education 127,294 6.6 165,284 5 Health 174,279 9.1 241,471 7.4 Community Development 519,931 27.1 675,581 20.6 Other Economic Affairs 810,353 42.2 1,849,853 56.4 1,920,531 100 3,280,026 100 Defense Public Order and Safety Sub-total Total Central Government 11,352,853 Source: Uganda Bureau of Statistics 111 13,708,933 4.3.4 Local Government revenue and recurrent expenditure During the FY 2015/16, the total Local government revenue increased from 2,580.1 billion to 2,624.8 billion accounting for a 1.7 percent increase in revenue. Of the 2,624.7 billion received in revenue by the local governments, Shs. 327.5 billion was revenue for Municipalities while Shs. 2,297.5 billion was revenue received by districts. Grants remained the major source of Local government revenue accounting for 96.3 percent of total local government revenue. Taxes accounted for only 1.3 percent while the other non-tax revenue accounted for 2.3 percent. [See Appendix Tables 4.3 H (a & b)]. For FY 2015/16, Local government total expenditure rose to 2,555.1 billion from 2,380.0 billion in 2014/15 which was 7.4 percent increase in local government expenditure. The Education sector took the largest proportion of Local government expenditure accounting for 49.8 percent of the total local government expenditure, followed by public administration and health sectors accounting for 21.4 percent and 15.1 percent of the total expenditure. Total districts expenditure increased from 2,137.1 billion spent in 2014/15 to 2,309.8 billion in 2015/16. Districts expense (recurrent expenditure) was 2,115.7 billion in 2015/16 compared to 1,957.5 spent in 2014/15 indicating an 8.1 percent increase in district expense. On the other hand, the districts acquired assets worth 194.1 billion in 2015/16 while in 2014/15, the assets acquired amounted to 179.6 billion. Meanwhile municipalities’ expenditure increased from 242.9 billion in 2014/14 to 245.3 billion in 2014/15. [See Appendix Tables 4.3 I, M and Q (a & b)]. 112 4.5 Banking and Currency This section summarises the performance of the Banking Sector in Uganda for the period 2012 to 2016. 4.5.1 Depository Corporations Survey The Depository Corporations Survey covers the following institutions; Credit Institutions and Micro Finance Deposit Taking Institutions and deposits excluded from broad money. These deposits comprise of Loan Insurance fund/ Compulsory Savings held by individuals at Credit Institutions and Micro Deposit Taking Institutions (MDIs). Net Foreign Assets (NFA), which shows a country’s level of indebtedness, increased by 7.0 percent from 9,656 billion shillings in June 2015 to 10,329 billion in June 2016. Net domestic assets (NDA) increased by 7.4 percent from 6,731 billion shillings in June 2015 to 7,228 billion shillings in June 2016. Claims on other sectors increased by 4.2 percent from 11,045 billion shillings in June 2015 to 11,514 billion shillings in June 2016. Money supply indicates the total stock of money circulating in an economy. The circulating money includes; currency, printed notes, money in the deposit accounts and in the form of other liquid assets. Money supply (M1), which includes money in circulation and local currency deposits in banks, increased by 6.7 percent from 6,725 billion shillings in June 2015 to 7,176 billion shillings in June 2016. As part of M1, currency in the hands of people increased by 6.3 percent from 2,762 billion shillings in June 2015 to 2,935 billion shillings in June 2016. Transferable deposits increased by 7.0 percent from 3,963 billion shillings in June 2015 to 4,241 billion shillings in June 2016. Money supply (M2), which includes M1 plus savings and time deposits, increased from 11,095 billion shillings in June 2015 to 12,085 billion shillings in June 2016 representing an 8.9 percent increase. Money supply (M3), which is the broadest level of money supply, includes money supply M2 plus foreign currency deposits, increased by 7.2 percent from 16,377 billion shillings in June 2015 to 17,557 billion shillings in June 2016. As part of M3, foreign currency deposits grew by 3.6 percent from 5,281 billion shillings in June 2015 to 5,472 billion shillings in June 2016 (See table 4.5 A). 4.5.2 Commercial Banks Assets and Liabilities Total commercial bank assets increased by 16.1 percent from 21,673 billion shillings in June 2015 to 22,997 billion shillings in June 2016. Treasury bills and bonds on the side of central government securities, increased by 23.5 percent from 2,436 billion shillings in June 2015 to 3,008 billion shillings in June 2016. On the other side, Treasury bonds grew by 6.0 percent from 1,848 billion shillings in June 2015 to 1,958 billion shillings in June 2016. There was a decline of 5.5 percent in Notes and coins from 739 billion shillings in June 2015 to 698 billion shillings in June 2016. 113 Total commercial bank liabilities excluding capital increased by 4.3 percent from 18,320 billion shillings in June 2015 to 19,117 billion shillings in June 2016. Deposits including; demand deposits, saving deposits and time deposits increased by 7.5 percent from 14,991 billion shillings in June 2015 to 15,598 billion shillings in June 2016.Commercial bank borrowing from various institutions including the central bank declined by 24.3 percent from 741 billion shillings in June 2015 to 561 billion shillings in June 2016 (See table 4.5 B & C). 4.5.3 Commercial banks outstanding loans and advances The Commercial banks give out loans to the private sector to finance activities such as agriculture, mining and quarrying, manufacturing, trade, personal and household loans and building, mortgage and construction advances amongst others. The advances were disbursed as follows in June 2016; Overall outstanding loans and advances (local currency) to the private sector increased by 5.8 percent from 5,675 billion shillings in June 2015 to 6,003 billion shillings in June 2016. There was an increase in loans and advances to the agricultural sector by 11.9 percent from 430 billion shillings in June 2015 to 481 billion shillings in June 2016. The following sectors registered a decline in loan advances; manufacturing by 5.2 percent, Trade by 4.9 percent and business services by 16.5 percent. Even though advances to the trade sector declined, the sector alongside business, mortgage & construction and personal & household loans continued to dominate with over 65 percent of the total loans and advances. There was a slow growth in foreign currency denominated loans and advances to the private sector (in shillings) which grew by 1.3 percent from 4,865 billion shillings in June 2015 to 4,927 billion shillings in June 2016. Over 67 percent of total loans disbursed in June 2016 went to the manufacturing, trade and building, mortgage and construction. This meant that more forex loans are advanced to the Building, Mortgage and Construction (28.1 percent) sector as opposed to the shilling denominated loans which are dominated by Personal and Household Loans (27.6 percent). Advances to the agricultural sector increased by 7.1 percent from 546 billion shillings in June 2015 to 585 billion shillings in June 2016 (See table 4.5 D & E). 4.5.4 Structure of Interest Rates The Central Bank Rate (CBR), which is the rate at which commercial banks can borrow from the Central Bank increased to 15.0 percent in June 2016 from 13.0 percent in June 2015. In the same way, Commercial bank rate increased by 20.0 percent in June 2016 as compared to a 17.0 percent in June 2015. On an annualized basis, the CBR averaged 14.9 percent in 2016 as compared to an average of 14.0 percent registered in 2015. Similarly, Rediscount rate; the rate of discounting a short-term negotiable debt instrument for a second time increased by 18.9 percent in 2016 from an increase of 17.4 registered in the 2015. 114 Figure 4.5A: Annualised Average Interest Rates (Percentage), 2012 to 2016 Treasury bills, a short-dated government security at a maturity period of 91 days increased to 14.45, in 2016 as compared to a discount rate of 14.28 in 2015. Treasury bills of maturity 182 and 364 declined from 15.13 and 14.92 percent discount rate in 2016 respectively as compared to 15.61 and 15.6 percent registered in 2015. Deposit and lending rates (Local currency) increased to 4.18 and 23.89 percent respectively in 2016 from a percentage increase of 3.24 and 22.60 percent respectively registered in 2015. On an annualised basis, deposit and lending rates increased to 4.2 and 23.9 percent in 2016 compared to an increase of 3.2 and 22.6 percent registered in 2015 respectively. On the other hand, deposits (forex currency) remained stable at 1.31 percent in June 2016 well as lending rates increased from 9.20 percent in 2015 to 9.61 percent in 2016. On an annualised basis, foreign currency deposits and lending rates increased to 1.3 and 9.6 percent in 2016 from 1.3 and 9.2 percent in 2015 respectively (See table 4.5 F & G). 4.5.5 Exchange Rate The average price of Uganda’s shilling in terms of the US dollar (buying rate) depreciated by 5.6 percent in 2016 from 3,226 shillings per US dollar in 2015 to 3,407 shillings per US dollar in 2016. Similarly, the average selling rate also depreciated by 5.6 percent in 2016 from 3,242 shillings per US dollar in 2015 to 3,422 shillings per US dollar in 2016. The exchange rate at which forex bureaus’ exchange Uganda shilling per US dollar (Bureau mid-rate) averaged at 3,234 shillings in 2015 compared to 3,414 shillings per US dollars in 2016. Similarly, the rate at which commercial banks exchange Uganda shilling per US dollar (Interbank mid-rate), averaged at 3,246 in 2015 compared to 3,420 shillings per US dollars in 2016 (See table 4.5 H). Total volume of foreign exchange purchases across commercial banks (Inter-bank) and forex bureau’s declined by 10.1 percent in 2016 from 11,460 million US dollars in 2015 to 10,305 million US dollars in 2016. In the same way, total volume of foreign exchange sales across commercial banks (Inter-bank) and forex bureau’s declined by 15.8 percent in 2016 from 11,219 million US dollars in 2015 to 9,451 million US dollars in 2016. 115 Figure 4.5B: Volume of purchase and sales of foreign exchange, 2012 to 2016 Purchase of forex has continued to outweigh total sales with a difference of 854 million US dollars. The low sales of forex can partly be explained by the continued loss of value (depreciation) of the local currency against the US dollar (See table 4.5 I). 116 4.6 Insurance This section presents statistics on insurance services. Insurance services include; the life and non-life policies issued, premium supplements and paid and outstanding claims. Also included are the Non-life businesses and the consolidated balance sheet of insurance companies. The statistics cover the period 2011 to 2015. 4.6.1 Life Insurance income and expenditure Life insurance refers to all policies that cover human related risks. Life policies issued include; Individual, Group, Medical and Deposit Administrative Plan (DAP). Gross premium incomings increased by 34.8 percent in 2015 from 74,034 million shillings in 2014 to 99,849 Million shillings. The gross premium incomings for Life individual, Life Group and DAP insurance categories registered growths of 34.5, 81.2 and 8.2 percent respectively in 2015. However, Medical insurance category declined by 57.8 percent in gross premium incomings in the same period (See Table 4.6 A). The Life insurance for reinsurance outgoings category increased from 10,845 million shillings in 2014 to 17,147 million in 2015 representing 58.1 percent increase in 2015. The main contributor to the increase was the life group insurance category that increased from 5,314 million shillings in 2014 to 15,560 million in 2015. The life individual category grew from 380 million shillings to 1,587 million shillings in the same period (see statistical Appendix Table 4.6 B). The proportion of life insurance gross premium paid out in reinsurance grew by 34.8 percent in 2015 compared to 33.6 percent registered in 2014 while reinsurance income grew by 58.1 percent in 2015 compared to a decline of 10.9 percent in 2014 (See statistical Appendix table 4.6 A and table 4.6 B) The total paid and outstanding claims on life insurance registered 43.6 percent increase in 2015 compared to 75.2 percent registered in 2014. The value of life paid and outstanding claims increased from 21,859 million in 2014 to 31,397million shillings in 2015. The paid and outstanding claims on the Life Individual category registered a decrease of 40.2 percent in 2015 from 5,360 million shillings registered in 2014 to 3,205 million shillings in 2015. While the Life group category recorded an increase of 122.9 percent in 2015 compared to a decrease of 19.7 percent in 2014 (See Appendix table 4.6 D). 117 4.6.2 Non-Life Insurance income and expenditure Non-life insurance refers to policies that cover non- human related risks. These policies include fire, marine/aviation, motor, and miscellaneous accidents. The value of non-life Insurance premium incomings increased from 233,406 million shillings in 2014 to 316, 69 million shillings in 2015, representing a percentage of 35.7 percent. The fire category in the non-life insurance premium incomings recorded a 9.4 percent increase from 67,750 million shillings in 2014 to 74,131million shillings in the 2015; the miscellaneous accidents recorded a 205.2 percent increase from 31,411 million shillings in 2014 to 95,855 million shillings in 2015. The marine and motor insurance went up by 7.2 percent from 26,782 million shillings to 28,702 million shillings and 9.8 percent from 107,463 million shillings to 118,005 million shillings respectively. (See Appendix table 4.6E). The outgoings in form of reinsurance registered a growth of 30.5 percent in 2015 compared to 4.3 percent registered in 2014. The major contributors to growth were reinsurance for miscellaneous accidents from 18,390 in 2014 to 40,869 in 2015 and Marine/Aviation which increased by 19.4 percent compared to a 2.2 percent decline in 2014. (See Statistical Appendix table 4.6 F). Non-Life premium income grew by 42.2 percent in 2015 from 6.5 percent growth registered in 2014. Miscellaneous accidents increased by 278.3 percent from 14,005 million shillings in 2014 to 52,977 million shillings in 2015. The Motor insurance and marine aviation categories also registered growths of 12.8 percent and 30.6 percent in 2015 respectively. (See Appendix table 4.6 G). The paid and outstanding claims on non-life insurance increased by 105.9 percent in 2015 compared to a decline of 5.8 percent in 2014. The value of non-life paid and outstanding claims increased from 42,762 million shillings in 2014 to 88,067 million shillings in 2015. The main drivers for the increase were miscellaneous accidents which grew by 562.4 percent, marine/aviation that grew by 224.1 percent, Fire insurance increased by 185.8 percent and motor insurance increased by 28.8 percent in 2015. (See Appendix table 4.6 H). 118 Statistical Appendix Contents 1.0 Environment Statistics ................................................................................................. 126 1.1 Administrative units........................................................................................................................... 126 Table 1.1A: Districts and their lower level administrative units, number, 2016 .......................................... 126 1.2 Land ........................................................................................................................................................ 130 Table 1.2 A: Area under water and land by region and district, 1995 .......................................................... 130 Table 1.2 B: National land-cover statistics (sq km), 1995 ............................................................................ 132 Table 1.2 C: Summary of Land cover statistics by region and district (sq. kms), 2005 ............................... 134 1.3 Forestry ........................................................................................................................................................... 138 Table 1.3A: Total production of round-wood timber (‘000 tones), 2012– 2016 .................................... 138 Table 1.3 B: Value of output of round-wood timber, 2012 - 2016 (Mill. Shs) ......................................... 138 1.4 1.4.1 Climate ............................................................................................................................................................ 139 Rainfall .......................................................................................................................................... 139 Table 1.4 A: Monthly rainfall for selected centres (mm), 2012 – 2016 ........................................................ 139 Table 1.4 B: Distribution of rain-days by month, 2015 ................................................................................. 140 1.4.2 Temperature .................................................................................................................................... 141 Table 1.4 C: Temperature (Degrees Celsius) for selected centres, 2012- 2016 ........................................ 141 1.4.3 Relative Humidity ............................................................................................................................ 144 Table 1.4 D: Relative humidity for selected centres, 2012– 2016 ............................................................... 144 1.5 Water supply.................................................................................................................................................... 146 Table 1.5 A: Amount of Water produced (cubic metres) by NSWC, 2011/12-2015/16 ............................... 146 Table 1.5 B: Amount of Water billed (Cubic metres), 2011/12-2015/16 by NWSC ..................................... 147 Table 1.5 C: Amount of Water Supplied and Billing efficiency, 2014/15 by NWSC ..................................... 148 2.0 Demography Statistics ................................................................................................ 149 2.1 Population........................................................................................................................................................ 149 Table 2.1 A: Estimated Mid-Year population by age groups, 2014 – 2017 ................................................. 149 Table 2.1 B: Census Population and Mid-Year Population estimates by District, 2015-2017 ..................... 149 2.2 Education ......................................................................................................................................................... 153 Table 2.2 A: Primary school enrolment by class and sex, 2012- 2016 .................................................... 153 119 Table 2.2 B: Primary Gross Intake Rate and Net Intake Rate by district, 2011- 2015 ............................. 154 Table 2.2 C: Primary Gross Enrolment and Primary Net Enrolment Rates by district,2011 – 2015 ........ 156 Table 2.2 D: Pupil Teacher Ratio and Pupil Classroom Ratio by District, 2012 – 2016 ........................... 158 Table 2.2 E: Secondary school enrolment by class, 2012- 2016 ............................................................. 160 Table 2.2.F: Secondary education accessibility indicators by district, 2014-2015 ................................... 161 Table 2.2 G: Student Teacher (STR) and Student Classroom Ratio (SCR), 2012 - 2016 .......................... 163 2.3 Labour .................................................................................................................................................. 165 Table 2.3 A: Selected Labour Market Indicators for Employed Persons Aged 14-64 years, 2012/13 ........ 165 Table 2.3 B: Education Level Attained for Employed Persons, 14-64 years,2012/13 ................................ 166 Table 2.3 C: Share of Females in Employment by Industry and Occupation, 2012/13 ............................... 166 Table 2.3 D: Selected Urban Labour Force Survey 2015 Indicators .......................................................... 167 Table 2.3 E: Selected Labour Indicators on Children, 2011/12 .................................................................. 170 Table 2.3.F: Selected Working Youth (18-30) Indicators, 2011/12-2012/13 ............................................... 171 Table 2.3 G: Percentage distribution of jobs advertised by occupation, 2011 – 2015................................. 172 Table 2.3 H: Percentage Distribution of Jobs Advertised by Major Industrial Divisions, 2011–2015 .......... 173 Table 2.3 I: Average Monthly Employee Earnings (‘000 Shillings) .............................................................. 173 2.6 Health ............................................................................................................................................................... 174 Table 2.5A: Number of Health Facilities by Ownership Status, 2012/13 ..................................................... 174 Table 2.5 B: Countrywide routine immunization rates for all antigens, 2015/16 .......................................... 175 Table 2.5 C: Out Patient Department per capita Utilisation in Government and PNFP health facilities, .... 176 Table 2.5 D: Deliveries in Government and PNFP health facilities, percent, 2012/13-2015/16 .................. 177 Table 2.5 E: Selected health sector performance indicators, 2013/14- 2015/16 ......................................... 178 2.6 Crime Statistics ............................................................................................................................................... 180 Table 2.6 A: Distribution of Prisoners by district and category, 2015 - 2016 ........................................... 180 Table 2.6 B: Prison Capacity and Occupancy Rate by District, 2015 – 2016 .......................................... 182 3 Production Statistics ...................................................................................................... 184 3.1 Agriculture ....................................................................................................................................................... 184 Table 3.1 A: Production Volumes for Selected Cash Crops (Tonnes), 2012- 2016 ................................... 184 Table 3.1 B: Area planted for selected food crops (Ha), 2012- 2016 .......................................................... 184 Table 3.1 C: Production for selected food crops (Tonnes), 2012- 2016 ...................................................... 185 Table 3.1 D: Total production of Major Crops by district - UCA 2008/09 (MetricTonnes) ........................... 186 Table 3.1 D: Total production of Major Crops by district - UCA 2008/09 (MetricTonnes) ........................... 187 Table 3.1 E: Fish catch by water body (thousand tonnes), 2012 – 2016 ................................................... 190 Table 3.1 F: Livestock numbers (‘000s), 2012 – 2016 ................................................................................ 190 Table 3.1 G: Meat production in metric tonnes, 2012 – 2016 ..................................................................... 190 120 Table 3.1 H: Cattle Milk production in (‘000,000) litres, 2012 – 2016 ......................................................... 190 Table 3.1 I : 3.2 Egg production by breed (000’s), 2012 – 2016 ..................................................................... 190 Index of Production ........................................................................................................................................ 191 Table 3.2 A: Index of Production (2002 =100), Calendar Year 2012 –2016............................................... 191 Table 3.2 B: Index of Production (2002=100), Fiscal year 2011/12 - 2015/16 ........................................... 192 3.3 Energy Statistics ............................................................................................................................................. 193 Table 3.3.A: Annual imports of petroleum products (cubic meters), 2012-2016 ........................................ 193 Table 3.3.B: Installed Electricity Capacity in MW (2012-2016) ................................................................... 193 Table 3.3 C: Total Number of consumers, 2012-2016 ................................................................................. 194 Table 3.3 D: Annual Average Weighted Domestic Tariffs (Ug shs/kWh), 2012-2016 ................................. 194 Table 3.3 E: Annual Average Weighted Commercial Tariffs (Ug shs/kWh), 2012-2016 ............................ 194 Table 3.3 F: Annual Average Weighted Large Industrial Tariffs (Ug shs/kWh), 2012-2016 ....................... 195 3.4 Mineral Statistics .................................................................................................................................................... 196 Table 3.4 A: Annual mineral Production by Quantity (Tonnes), 2012-2016 ............................................... 196 Table 3.4 B: Annual value of Mineral Production Value (UGX ’000,000), 2012-2016 ................................ 196 3.5 Transport Statistics ........................................................................................................................................ 197 Table 3.5A: Number of Vehicles purchased by the Central Government, 2011 to 2015 ............................. 197 Table 3.5B: Number of Vehicles purchased by the Local Government, 2011 To 2015 .............................. 197 3.6 Migration and Tourism Statistics................................................................................................................... 198 Table 3.6 A: Total Arrival and Departures, 2012 – 2016 ............................................................................ 198 Table 3.6 B: Total Arrival and Departures by Migration Posts and residence status, 2016 ....................... 199 Table 3.6 C: Total Arrival and Departures by Migration Posts and residence status, 2015 ....................... 199 Table 3.6 D: Total Arrival and Departures by Sex, 2012 – 2016 ................................................................ 200 Table 3.6 E: Migration Statistics: Entebbe Arrivals, 2012 – 2016 ............................................................... 201 Table 3.6 F: Migration Statistics: Entebbe Departures, 2012 – 2016 ......................................................... 202 Table 3.6 G: Migration Statistics: Malaba and Busia Arrivals, 2012 – 2016 ............................................... 203 Table 3.6 H: Migration Statistics: Malaba and Busia Departures, 2012 – 2016 ......................................... 204 Table 3.6 I: Migration Statistics: Katuna Arrivals, 2012 – 2016 .................................................................. 205 Table 3.6 J: Migration Statistics: Katuna Departures, 2012 – 2016............................................................ 206 Table 3.6 K: Mutukula, Elegu, Western, WestNile and Northern borders points Arrivals, 2012 – 2016 ...... 207 Table 3.6 L: Mutukula, Elegu, Other West and Northern borders points Departures, 2012 – 2016 ............ 208 Table 3.6 M: Tourist/ Visitor Arrivals by Country of Usual residence, 2012 – 2016 .................................... 209 Table 3.6 N: Selected Tourism Indicators, 2012 – 2016 .............................................................................. 210 Table 3.6 O: Visitors to National Parks (Citizens and Foreigners), 2012 – 2016 ........................................ 211 Table 3.6 P: 2016 Visitors to National Parks by Category .......................................................................... 211 121 4.0: Macro Economic Statistics ......................................................................................... 212 4.1 National Accounts ........................................................................................................................................... 212 Table 4.1 A: Calendar Year Summary & Memorandum Item Statistics, 2009/10 prices ............................. 212 Table 4.1B: Value added by Economic Activity at Current prices, CY (Bill. Shs) ........................................ 212 Table 4.1 C: Value added by Economic Activity at Constant prices, CY (Bill. Shs) .................................... 213 Table 4.1 D: Value added by Economic Activity at Constant prices, CY, Percentage change ................... 213 Table 4.1 E (i): Value added by Economic Activity at Current prices, Contribution to GDP, CY ................. 214 Table 4.1 E (ii): Value added by Economic Activity, CY, 2009/10 = 100, Implicit Price Deflators ............... 214 Table 4.1 F (i): Monetary Value added by Economic Activity at Current prices, CY (Bill. Shs) ................... 215 Table 4.1 F (ii): Non-Monetary Value added by Economic Activity at Current prices, CY (Bill. Shs) .......... 215 Table 4.1 G (i): Monetary Value added by Economic Activity at Constant 2009/10 Prices, CY (Bill. Shs) 216 Table 4.1 G (ii): Non-Monetary Value added by Economic Activity at 2009/10 Constant Prices, CY ........ 216 Table 4.1 H (i): Formal sector Value added by economic activity, Current prices, CY (Bill Shs) ................ 217 Table 4.1 H (ii): Informal sector Value added by economic activity, Current prices, CY (Bill. Shs) ............. 217 Table 4.1 I (i): Formal sector Value added by economic activity, Constant prices, CY (Bill Shs) ............... 218 Table 4.1 I (ii): Informal sector Value added by economic activity, Constant prices, CY (Bill. Shs) ............ 218 Table 4.1 J (i): GDP by Expenditure at Current prices, CY (Bill. Shs) ......................................................... 219 Table 4.1 J (ii): GDP by Expenditure at Constant 2009/10 prices, CY (Bill. Shs) ........................................ 219 Table 4.1 J (iii): GDP by Expenditure, Annual Percentage Changes, CY ................................................... 220 Table 4.1 K: Financial Year Summary and Memorandum Item Statistics, 2009/10 = 100 .......................... 220 Table 4.1 L: Value added by Economic Activity at Current Prices, FY (Bill. Shs) ....................................... 221 Table 4.1 M (i): Value added by Economic Activity at Constant 2009/10 Prices, FY (Bill. Shs) .................. 221 Table 4.1 N (i): Value added by Economic Activity at Current Prices, Contribution to GDP, FY ................. 222 Table 4.1 N (ii): Value added by Economic Activity, Implicit Price Deflators, FY ........................................ 223 Table 4.1 O (i): Monetary Value added by Economic Activity at Current prices, FY (Bill. Shs) ................... 223 Table 4.1 O (ii) Non-Monetary Value added by Economic Activity at Current prices, FY (Bill. Shs) ........... 224 Table 4.1 P (i): Monetary Value added by Economic Activity, Constant 2009/10 prices, FY (Bill. Shs) ...... 224 Table 4.1 P (ii): Non-Monetary Value added by Economic Activity, Constant 2009/10 Prices, FY (Bill. Shs)225 Table 4.1 Q (i): Formal sector Value added by Economic Activity, Current prices, FY (Bill. Shs) ............... 225 Table 4.1 Q (ii): Informal sector Value added by Economic Activity, Current prices, FY (Bill. Shs) ............ 226 Table 4.1 R (i): Formal sector Value added by Economic Activity, Constant 2009/10 prices, FY ............... 226 Table 4.1 R (ii): Informal sector Production by Economic Activity, Constant 2009/10 prices, FY .............. 227 Table 4.1 S (i): GDP by Expenditure at Current prices, FY (Bill. Shs) ......................................................... 227 Table 4.1 S (ii): GDP by Expenditure at Constant 2009/10 prices, FY (Bill. Shs) ....................................... 228 Table 4.1 S (iii): GDP by Expenditure, Annual Percentage Change, FY ..................................................... 228 Table 4.1 S (iv): GDP by Expenditure, Implicit Price Deflator, FY ............................................................... 229 Table 4.1 T: Balance of Payment Statement (Mill. US$), 2012 – 2016, Calendar year .............................. 230 Table 4.1 U: Balance of Payment (Mill. US$), 2012/13 – 2016/17, Fiscal year ........................................... 231 122 4.2 Price Statistics ........................................................................................................................................................ 232 Table 4.2 A: National CPI Breakdown by Major Groups, Uganda (Base: 2009/10 =100) ........................... 232 Table 4.2 B: National CPI for Food and Non Food, Uganda (Base: 2009/10 = 100) .................................. 232 Table 4.2 C: National CPI Breakdown for Food Crops, Other Goods and Services, (2009/10 = 100) ........ 232 Table 4.2 D: National Annual Average CPI by COICOP Divisions, Uganda (2009/10 = 100)..................... 233 Table 4.2 E: National Annual Average Inflation by COICOP Divisions, Uganda (Base: 2009/10 = 100) .... 234 Table 4.2 F: Annual Average CPI by COICOP Divisions - Kampala High Income (Base:2009/10 = 100) .. 235 Table 4.2 G: Annual Average CP I by COICOP Divisions - Kampala Middle Income (2009/10 = 100) ...... 236 Table 4.2 H: Annual Average CPI by COICOP Divisions - Kampala Low Income (Base: 2009/10 = 100) . 237 Table 4.2 I: Annual Average CPI by COICOP Divisions - Masaka (Base: 2009/10 = 100) ......................... 238 Table 4.2 J: Annual Average CPI by COICOP Divisions-Mbarara (Base: 2009/10 = 100) ......................... 239 Table 4.2 K: Annual Average CPI by COICOP Divisions - Jinja (Base: 2009/10 = 100) ............................. 240 Table 4.2 L: Annual Average CPI by COICOP Divisions - Mbale (Base: 2009/10 = 100) ........................... 241 Table 4.2 M: Annual Average CPI by COICOP Divisions - Gulu (Base: 2009/10 = 100) ............................ 242 Table 4.2 N: Annual Average CPI by COICOP Divisions - Arua (Base: 2009/10 = 100) ............................ 243 Table 4.2 O: Annual Average CPI by COICOP Divisions – Fort Portal (Base: 2009/10 = 100) .................. 244 Table 4.2 P: Average market prices for selected goods in Kampala High Income, 2014 – 2016 .............. 245 Table 4.2 Q: Average market prices for selected goods in Kampala Middle Income, 2014 –16 ............... 245 Table 4.2 R: Average market prices for selected goods in Kampala Low Income,2013 – 2015 ............... 246 Table 4.2 S: PPI-M Combined Annual Indices, CY, Base period:July to Sept 2004=100 ........................... 247 Table 4.2 T: PPI-M Combined Annual Indices, FY, Base period: July to Sept 2004=100 ........................... 248 Table 4.2 U: PPI-M Local Annual Indices, CY, Base period: July to Sept 2004=100) ................................ 249 Table 4.2 V: PPI-M Local Annual Indices, FY: (July to Sept 2004=100) ..................................................... 250 Table 4.2 W: PPI-M Export Annual Indices, CY, Base period: July to Sept 2004=100) .............................. 251 Table 4.2 X: PPI-M Export Annual Indices, Fiscal Year, Base period: July to Sept 2004=100 ................... 252 Table 4.2 Y: PPI- Hotels & Restaurants Annual Indices (Jan – Mar, 2008=100) ........................................ 252 Table 4.2 Z: Construction Sector Price Indices, (Jan-Mar 2006=100) ......................................................... 253 Table 4.2 AB: Basic Heading Prices Indices, (Jan-March 2006=100) ......................................................... 253 4.3 External Trade ................................................................................................................................................. 254 Table 4.3 A: Formal Exports by quantity, 2012 – 2016 ............................................................................... 254 Table 4.3 B: Formal Exports by value (‘000 US $), 2012 – 2015 ............................................................... 255 Table 4.3 C: Formal Exports by percentage value, 2012 – 2016 ............................................................... 256 Table 4.3 D: Formal Exports by value (‘000 US $), SITC-REV4 grouping, 2012 - 2016 ............................. 257 Table 4.3 E: Imports by region and country of origin (‘000 US $), 2012 – 2016 ......................................... 259 Table 4.2 F: Imports by percentage, region and country of origin, 2012 – 2016 ........................................ 261 Table 4.3 G: Formal Imports by value (‘000 US $), SITCREV4 groupings, 2012 – 2016........................... 263 Table 4.3 H: Formal Imports by percentage, SITC groupings, 2012- 2016 ................................................. 265 Table 4.3 I: Exports by region and country of destination (‘000 US$), 2012 – 2016 .................................. 267 123 Table 4.3 J: Exports by percentage, region and country of destination, 2012 – 2016 ............................... 269 Table 4.3 K: Re-exports by value (‘000 US $), SITC grouping, 2012 – 2016 ............................................. 271 Table 4.2 L: Re-exports by value (‘000 US $), 2012 – 2016 ....................................................................... 273 Table 4.3 M: Re-exports by region and country of destination (‘000 US $), 2012 – 2016 .......................... 274 Table 4.3 N: 2013 - 2016 Informal Exports and Imports by Country and Trade Balances (000’ US$) ....... 274 4.4 Government Finance Statistics ...................................................................................................................... 276 Table 4.4 A: Summary of Central Government Budgetary and Financial Operations, ............................... 276 Table 4.4 B (a): Classification of Central government Revenue, (Million Shs.) ........................................... 277 Table 4.4 B (b): Classification of Central government Revenue by percentage share, .............................. 278 Table 4.4 C (a): Functional Classification of Central Government Recurrent Expenditure (Mill Shs.) ........ 279 Table 4.4 C (b): Functional Classification of Central Government Recurrent Expenditurepercent share ... 279 Table 4.4 D (a): Functional Classification of Central Government Development Expenditure (Mill Shs) .... 280 Table 4.4 D (b): Functional Classification of Central Government Development Expenditure,percent share280 Table 4.4 E (a): Economic Classification of Central Government Recurrent Expenditure, (Mill Shs) ......... 281 Table 4.4 E (b): Economic Classification of Central Government Recurrent Expenditure, percent share 281 Table 4.4 F (a): Economic Classification of Central Government Development Expenditure, (Mill Shs) .... 282 Table 4.4 F (b): Economic Classification of Central Government Development Expenditure, percent share282 Table 4.4 G (a): Functional Classification of Donor Funded Central Government Development Expenditure, (Mill Shs) .................................................................................................................................................... 283 Table 4.3 G (b): Functional Classification Donor Funded Development Expenditure by percent share ..... 284 Table 4.4 H (a): Classification of Local Government Revenue by Type for 2011/12– 2015/16, (Mill Shs) . 285 Table 4.4 H (b): Classification of Local Government Revenue by percent share for FY 2012/13 – 2016/17285 Table 4.4 I (a): Functional Classification of Local Government Expenditure 2012/13 – 2016/17 (Mill Shs)286 Table 4.4 I (b): Functional Classification of Local Government Expenditure by percent share .................. 286 Table 4.4 J (a): Economic Classification of Local Government Expense, (Mill Shs) ................................... 287 Table 4.4 J (b): Economic Classification of Local Government Expense by percentage share, . ............... 287 Table 4.3 K (a): Classification of Transactions in Non-Financial Assets-Local government, Shs Million ... 288 Table 4.3 K (a): Classification of Transactions in Non-Financial Assets for Local government,Percentage.288 Table 4.3 L (a): Classification of Districts’ Revenue by Type for FY 2012/13 – 2016/17 (Shs.Millions) ..... 289 Table 4.3 L (b): Classification of Districts’ Revenue by Percentage share for FY 2012/13 – 2016/17 ....... 289 Table 4.3 M (a): Functional Classification of Districts Expenditure2012/13 -2016/17 (Shs.Million) ........... 290 Table 4.3 M (b): Functional Classification of Districts Expenditure by percentage share, 2012/13 – 16/17.290 Table 4.3 N (a): Economic Classification of District Expense, FY 2012/13 – 2016/17 (Shs.Million). ......... 291 Table 4.3 N (b): Economic Classification of District Expense by Percentage Share, FY 2012/13 – 2016/17291 Table 4.3 O (a): Classification of Transactions in Non-Financial Assets for Districts, FY(Shs. Million). .... 292 Table 4.3 O (b): Classification of Transactions in Non-Financial Assets for Districts, Percentages. ......... 292 Table 4.3 P (a): Classification of Municipalities’ Revenue by Type for FY Million shs. .............................. 293 Table 4.3 P (b): Classification of Municipalities ‘Revenue by Percentage share for FY ............................ 293 124 Table 4.3 Q (a): Functional Classification of Municipalities’ Expenditure, (Shs. Million) ............................ 294 Table 4.3 Q (b): Functional Classification of Municipalities’ Expenditure by percentage share, ................ 294 Table 4.3 R (a): Economic Classification of Municipalities’ Expense, FY (Shs. Million). ............................ 295 Table 4.3 R (b): Economic Classification of Municipalities Expense by Percentage Share, FY. ............... 295 Table 4.3 S (a): Classification of Transactions in Non-Financial Assets for Municipalities, FY Shs. Million.296 Table 4.3 S (a): Classification of Transactions in Non-Financial Assets for Municipalities, FY, Percentages.296 Table 4.3 T (a): Classification of Town councils’ Revenue by Type for FY 2012/13 -2016/17(Million Shs) 297 Table 4.3 T (b): Classification of Town Councils’ Revenue by Percentage share for FY. .......................... 297 Table 4.3 U (a): Functional Classification of Town Councils’ Expenditure (Shs. Million) ........................... 298 Table 4.3 U (b): Functional Classification of Town Councils’ Expenditure by percentage share, .............. 298 Table 4.3 V (a): Economic Classification of Town councils Expenditure FY (Shs. Million). ....................... 299 Table 4.3 V (b): Economic Classification of Town Councils Expenditure by Percentage Share,FY. ......... 299 Table 4.3 W (a): Classification of Transactions in Non-Financial Assets for Town Councils, FY (Shs. Million) ........................................................................................................................................................ 300 Table 4.3 W (b): Classification of Transactions in Non-Financial Assets for Town Councils, FY (Percentages)............................................................................................................................................. 300 4.5 Banking and Currency .................................................................................................................................... 301 Table 4.5 A: Depository Corporation Survey as at June, bill shs ................................................................. 301 Table 4.5 B: Commercial Banks assets (Bill. Shs), as at June, 2012- 2016 ............................................... 302 Table 4.5 C: Commercial Banks Liabilities (Bill. Shs), as at June, 2012- 2016 ........................................... 303 Table 4.5 D: Commercial Banks foreign currency loans to the private sector Bill. Shs ............................... 304 Table 4.5 E: Commercial Banks Shillings denominated loans to the private sector, Bill. Shs .................... 304 Table 4.5 F: Structure of Interest Rates, 2012-2016.................................................................................... 305 Table 4.5 G: Annualised Average Interest Rates, 2012-2016 ..................................................................... 305 Table 4.5 H: Annual Foreign Exchange Rates, Uganda Shillings per US$ ................................................. 306 Table 4.5 I: Volume of Inter-bank and Bureaux Foreign Exchange Transactions, Mill. US $ ..................... 306 4.6 Insurance ............................................................................................................................................................. 307 Table 4.6 A: Life Insurance Premium Incomings 2011 – 2015 (Million shillings) ...................................... 307 Table 4.6 B: Life Insurance Reinsurance Outgoings 2010 – 2014 (Million shillings)................................... 307 Table 4.6 C: Life Insurance Net Premium Income 2010 – 2014 (Million shillings) .................................... 307 Table 4.6 D: Paid and Outstanding Claims, by Class: Life 2010 – 2014 (Million shillings) ......................... 307 Table 4.6 E: Non-Life Insurance Premium Incomings 2010 – 2014 (Million shillings)............................... 307 Table 4.6 F: Non-Life Insurance Reinsurance Outgoings 2010 – 2014 (Million shillings) ........................... 308 Table 4.6 G: Non-Life Insurance Net Premium Income 2010 – 2014 (Million shillings) .............................. 308 Table 4.6 H: Paid and Outstanding Claims, by Class: Non-Life 2010 – 2014 (Million shillings) ................. 308 125 1.0 Environment Statistics 1.1 Administrative units Table 1.1A: Districts and their Lower Level Administrative Units (Number), 2016 (Central Region) Region District Name No. of Counties No of Constituencies No. of LLGs No. of (SC/DIV/TC) parishes CENTRAL Bukomansimbi 2 2 5 25 Butambala 1 1 6 25 Buvuma 1 1 9 38 Gomba 2 2 5 37 Kalangala 2 2 7 17 Kalungu 2 2 7 37 Kayunga 3 3 9 61 Kiboga 1 1 8 40 Kyankwanzi 2 2 13 88 Luwero 3 3 13 91 Lwengo 3 3 8 43 Lyantonde 1 1 6 28 Masaka 3 3 9 39 Mpigi 2 2 7 56 Mukono 4 4 15 81 Nakaseke 2 2 15 75 Nakasongola 2 2 11 59 Rakai 4 3 9 41 Kyotera 2 2 13 64 Ssembabule 3 3 8 39 Kampala Capital City 1 8 5 96 Mubende 2 6 21 152 Wakiso 2 8 27 147 Mityana 4 4 14 89 Buikwe 3 3 12 69 57 73 262 1,537 Central Total Source: UBOS 126 Table 1.1A: Districts and their Lower Level Administrative Units (Number), 2016 (Wester Region) Region District Name No. of Counties No of No. of LLGs No. of Constituencies (SC/DIV/TC) parishes WESTERN Buhweju 1 1 9 37 Buliisa 1 1 7 30 Bundibugyo 2 2 20 101 Bushenyi 3 3 12 65 Hoima 4 4 16 67 Ibanda 2 2 13 55 Isingiro 3 3 18 95 Kabale 4 3 13 65 Kabarole 3 2 18 55 Kamwenge 3 3 16 76 Kanungu 2 2 17 71 Kasese 5 5 32 152 Kibaale 5 5 8 34 Kiruhura 3 3 18 91 Kiryandongo 2 2 7 20 Kisoro 4 4 16 41 Kyegegwa 2 2 9 42 Kyenjojo 3 3 20 98 Masindi 3 3 9 32 Ntoroko 1 1 10 47 Ntungamo 1 3 24 107 Rubirizi 2 2 11 53 Rukungiri 3 3 14 80 Sheema 2 2 14 61 Rubanda 1 2 9 46 Kakumiro 1 2 9 47 Kagadi 1 2 18 82 Rukiga 1 1 6 28 Bunyangabu 1 1 11 38 Mbarara 2 4 17 84 Mitooma 1 2 12 61 Western Total 72 78 433 1,961 Source: UBOS 127 Table 1.1A: Districts and their Lower Level Administrative Units (Number), 2016(Northern Region) Region District Name No. of Counties No of Constituencies No. of LLGs No. of parishes (SC/DIV/TC) NORTERN Abim 1 1 7 36 Adjumani 2 2 10 54 Agago 2 2 16 78 Alebtong 2 2 9 45 Amolatar 1 1 11 58 Amudat 1 1 4 13 Amuru 2 2 5 32 Apac 2 3 10 59 Arua 5 7 28 165 Dokolo 2 2 11 62 Gulu 3 2 10 41 Omoro 1 1 7 29 Kaabong 2 3 19 82 Kitgum 3 2 12 56 Koboko 3 3 9 47 Kole 2 2 7 42 Kotido 1 2 9 25 Lamwo 1 1 11 51 Lira 1 3 13 88 Maracha 2 2 8 42 Moroto 3 3 6 26 Moyo 2 2 9 44 Nakapiripirit 2 2 8 34 Napak 1 1 8 35 Nebbi 2 2 11 51 Pakwach 1 1 6 30 Nwoya 1 1 5 25 Otuke 1 1 8 39 Oyam 2 2 12 63 Pader 1 2 12 52 Yumbe 1 3 13 97 Zombo 1 2 13 46 Northern Total 57 66 327 1,647 Source: UBOS 128 Table 1.1A: Districts and their Lower Level Administrative Units (Number), 2016 (Eastern Region) Region District Name No. of Counties No of Constituencies No. of LLGs No. of parishes (SC/DIV/TC) EASTERN Amuria 3 3 16 96 Budaka 2 2 13 59 Bududa 2 2 18 96 Bugiri 2 2 12 71 Bukedea 1 2 6 71 Bukwo 1 1 12 66 Bulambuli 2 2 20 110 Busia 3 3 16 62 Butaleja 2 2 12 63 Buyende 2 2 6 38 Iganga 4 4 16 83 Jinja 4 4 12 58 Kaberamaido 2 2 12 40 Kaliro 2 2 11 36 Katakwi 2 2 10 56 Kibuku 2 2 10 41 Kween 1 1 13 70 Luuka 1 2 8 43 Manafwa 1 2 17 81 Namisindwa 1 1 16 83 Mayuge 1 3 14 73 Mbale 1 3 25 121 Namayingo 1 2 9 43 Namutumba 2 2 9 50 Ngora 1 1 5 65 Serere 2 2 11 49 Sironko 2 2 21 131 Soroti 4 3 10 50 Tororo 5 5 21 88 Pallisa 4 3 12 52 Butebo 1 1 7 32 Kapchorwa 2 2 14 85 Kumi 1 3 8 83 Kamuli 2 4 16 77 Eastern Total Source: UBOS 69 79 129 438 2,322 1.2 Land Table 1.2 A: Area under water and land by region and district, 1995 District Region and District District area open area (sq percent water (sq km) of Total km) (Uganda) Open Permanent/ Area Exl. water seasonal Open water wetlands & percent of Permanent/ district seasonal Area wetlands percent of district Permanent/ seasonal wetlands Area District Perimeter (km) Central Kalangala 9,068.30 3.80 8,600.00 94.80 0.30 0.00 468.00 387.80 Kampala 197.00 0.10 16.80 8.60 16.30 8.30 163.80 68.60 Kayunga 1,702.40 0.70 114.50 6.70 192.70 11.30 1,395.10 270.30 Kiboga 4,045.50 1.70 0.20 0.00 142.50 3.50 3,902.80 354.60 Luwero 5,693.90 2.40 1.30 0.00 250.80 4.40 5,441.80 418.30 Masaka 4,691.70 1.90 1,129.70 24.10 413.30 8.80 3,148.70 410.80 Mpigi 3,605.60 1.50 338.00 9.40 330.10 9.20 2,937.40 388.70 Mubende 6,197.70 2.60 154.30 2.50 172.30 2.80 5,871.10 482.10 Mukono 12,655.70 5.20 9,289.70 73.40 256.10 2.00 3,110.00 598.10 Nakasongola 3,509.90 1.50 238.80 6.80 162.80 4.60 3,108.30 311.60 Rakai 4,908.70 2.00 755.30 15.40 225.70 4.60 3,927.60 461.30 Sembabule 2,319.20 1.00 0.80 0.00 37.00 1.60 2,281.40 280.60 Wakiso 2,807.70 1.20 901.10 32.10 241.60 8.60 1,665.10 343.80 Sub-Total 61,403.30 25.60 21,540.50 35.10 2,441.50 4.00 37,421.10 4,776.60 Bugiri 5,670.90 2.30 4,101.70 72.30 117.70 2.10 1,451.60 497.60 Busia 759.40 0.30 28.50 3.80 38.10 5.00 692.80 156.30 Iganga 2,482.30 1.00 2.70 0.10 154.40 6.20 2,325.20 325.70 Jinja 722.70 0.30 49.70 6.90 12.20 1.70 660.80 136.00 Kaberamaido 1,623.90 0.70 269.40 16.60 143.80 8.90 1,210.70 202.90 Kamuli 4,301.50 1.80 649.20 15.10 397.10 9.20 3,255.30 378.90 Kapchorwa 1,731.70 0.70 0.00 0.00 20.70 1.20 1,711.00 245.50 Katakwi 5,014.40 2.10 99.10 2.00 280.70 5.60 4,634.60 368.10 Kumi 2,848.10 1.20 115.70 4.10 299.40 10.50 2,433.00 266.70 Mayuge 4,638.50 1.90 3,556.00 76.70 59.40 1.30 1,023.10 477.00 Mbale 1,372.80 0.60 0.00 0.00 27.30 2.00 1,345.50 199.30 Pallisa 1,991.70 0.80 66.30 3.30 337.60 16.90 1,587.90 224.90 Sironko 1,093.90 0.50 0.00 0.00 30.40 2.80 1,063.50 240.10 Soroti 3,377.70 1.40 503.70 14.90 418.40 12.40 2,455.60 294.40 Tororo 1,849.30 0.80 0.10 0.00 220.40 11.90 1,628.80 234.00 Sub-Total 39,478.80 16.40 9,442.10 23.90 2,557.60 6.50 27,479.40 1,371.40 EASTERN 130 Table 1.2 A (Cont’d): Area under water and land by region and district, 1995 Region and District NORTHERN Adjumani Apac Arua Gulu Kitgum Kotido Lira Moroto Moyo Nakapiripirit Nebbi Pader Yumbe Sub-Total WESTERN Bundibugyo Bushenyi Hoima Kabale Kabarole Kamwenge Kanungu Kasese Kibaale Kisoro Kyenjojo Masindi Mbarara Ntungamo Rukungiri Sub-Total Uganda District area percent of Total (Uganda) 3,087.0 6,541.2 5,476.2 11,715.5 9,634.5 13,245.1 7,200.7 8,517.6 1,890.7 5,833.8 2,917.2 6,929.2 2,403.0 85,391.7 1.3 2.7 2.3 4.9 4.0 5.5 3.0 3.5 0.8 2.4 1.2 2.9 1.0 35.5 56.1 355.3 37.4 96.6 3.1 0.2 783.3 0.0 90.0 0.0 82.3 5.8 10.0 1,520.1 Open water percent of district Area 1.8 5.4 0.7 0.8 0.0 0.0 10.9 0.0 4.8 0.0 2.8 0.1 0.4 1.9 2,261.7 4,292.5 5,932.8 1,729.6 1,824.4 2,439.4 1,292.1 3,389.6 4,246.0 729.6 4,054.4 9,443.0 10,019.1 2,055.5 1,566.8 55,276.5 241,550.7 0.9 1.8 2.5 0.7 0.8 1.0 0.5 1.4 1.8 0.3 1.7 3.9 4.1 0.9 0.6 22.9 100.0 180.2 369.8 2,268.7 50.6 8.1 64.1 18.1 409.7 0.3 28.3 0.1 799.6 79.4 4.1 118.8 4,399.9 36,902.6 8.0 8.6 38.2 2.9 0.4 2.6 1.4 12.1 0.0 3.9 0.0 8.5 0.8 0.2 7.6 8.0 15.3 District area (sq km) Open water (sq km) Permanent/ seasonal Permanent/ wetlands seasonal percent wetlands of district Area 94.3 3.1 311.1 4.8 89.9 1.6 73.9 0.6 7.3 0.1 1.2 0.0 301.5 4.2 0.0 0.0 105.0 5.6 23.8 0.4 32.8 1.1 37.4 0.5 12.9 0.5 1,091.1 1.3 102.9 98.7 61.3 48.5 27.6 75.2 22.2 68.7 105.6 21.5 113.0 197.5 208.8 70.0 14.0 1,235.5 7,325.7 4.5 2.3 1.0 2.8 1.5 3.1 1.7 2.0 2.5 2.9 2.8 2.1 2.1 3.4 0.9 2.2 3.0 Area Exl. Open water & Permanent / seasonal wetlands District Perimetre (km) 2,936.6 5,874.8 5,349.0 11,544.9 9,624.1 13,243.7 6,115.9 8,517.6 1,695.8 5,810.0 2,802.1 6,886.1 2,380.1 82,780.7 293.3 449.7 490.9 670.5 510.5 672.7 676.8 585.5 248.6 446.3 353.4 533.0 266.5 1,920.1 1,978.6 3,824.0 3,602.8 1,630.6 1,788.7 2,300.1 1,251.8 2,911.2 4,140.2 679.9 3,941.4 8,446.0 9,730.9 1,981.4 1,433.9 49,641.5 197,322.7 375.8 356.0 399.4 251.9 308.5 363.0 289.1 289.5 360.7 153.0 400.0 478.1 623.0 258.1 300.0 1,634.0 2,798.00 Source: National Forestry Authority, Ministry of Water, Lands and Environment 131 Table 1.2 B: National land-cover statistics (sq km), 1995 Region and District Plantation Conifer Papyrus/ Fully stocked Degraded Woodland Bush Grassland Reeds/Swamp CENTRAL Kalangala 0 0 219.7 0.6 47.6 8.7 114.7 0.3 Kampala 0.3 0 0 4.9 0.3 7.4 0.8 14.5 Kayunga 5.9 1.4 0.6 4.3 139.2 135.8 281.5 184.1 0 4.9 31.5 38.3 1612.1 108.2 907 122.8 Luwero 0.8 0.3 1.4 55.7 2316.4 66.6 1230.7 240.1 Masaka 12.5 0.1 60.1 96 51.2 90.6 898.3 83.3 Mpigi 0.9 0 208.4 194.6 315.6 107.7 834.6 82.7 Mubende Kiboga 7.1 1.4 49.2 239.5 944.5 260.5 991.1 160 Mukono 5 2.2 546.7 459.5 66.4 129.2 321.2 172.3 Nakasongola 0 17.1 0 0 1270.5 488.6 780.9 158.1 Rakai 7 0 182.9 32.1 141 305.5 1928.4 88.6 Sembabule 0.9 0 0 0 157.5 546.4 852.1 36 Wakiso 3.2 0.2 68.2 216.4 92.3 46.2 209.1 64.7 43.6 27.6 1368.7 1341.9 7154.6 2301.4 9350.4 1407.5 105.4 Sub-Total EASTERN Bugiri 0 0 14.3 16 230.9 50.9 53.9 Busia 0.1 0.2 4.3 18.6 76.1 44.8 24.5 29.1 Iganga 1.6 0 5.7 0 48.4 46.7 37.1 146.2 32.6 1.9 0.3 2.6 2.6 25 4.4 12.2 0 0 0 0 175.5 22.5 195.8 61.5 Jinja Kaberamaido Kamuli 2.9 0.2 0 0 276 104.4 337.8 396.8 Kapchorwa 0.1 14.9 193.7 139.9 277.3 63.8 584.5 10.4 Katakwi 0.1 0 0 0 177.2 2.8 2410 65.9 Kumi 1.2 0 0 0 80.6 96.7 771.5 106.4 Mayuge 1.3 1.4 12.8 144.9 69.6 38.6 70.2 57.1 Mbale 5.6 0 47.6 105.4 99.9 15.7 73.8 5.1 Pallisa 0.4 0 0 0 9.3 4.3 134.6 312.1 Sironko 0.6 0 21 60.9 171.8 34.6 249.4 30.1 Soroti 0.1 2.9 0 0 64.8 30.2 723.8 225.2 Tororo Sub-Total 2.1 0 0 0.4 28.5 37.6 55.8 178.6 48.7 21.5 299.7 488.5 1788.5 618.6 5727.1 1742.1 Note: THF refers to Tropical High Forest. 132 Table 1.2 B (Cont’d): National land-cover statistics (sq km), 1995 Region and District NORTHERN Adjumani Apac Arua Gulu Kitgum Kotido Lira Moroto Moyo Nakapiripirit Nebbi Pader Yumbe Sub-Total Plantation Conifer Fully stocked Degraded Woodland Bush Grassland Papyrus/Reed 0 1.8 18.4 2.7 0 0.2 0.8 0 0.2 0 1.6 0 0.7 26.4 0 0 4 4.8 0 0 3 0 0 0 20.6 0 0 32.4 12.7 0 0 0 0 0 0 0 0 0 1.9 0 0 14.6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1498.5 689.1 1766.1 4686.3 4753.1 2321.2 684.1 683.7 706.9 458.5 243.6 2527 1,385.1 22,403.2 16.3 100.5 265.3 358.9 288.3 2841.2 80.5 2519.6 47.1 1953.7 229 13.8 3.4 8,717.6 432.6 927.5 339.6 1623.8 1776.1 6864 909.4 4555.1 566.5 3103.5 627.5 673.5 437 22,836.1 94.3 114.6 80.6 71.6 0 0 110.6 0 102.3 14.4 31.8 0 12.6 632.8 WESTERN Bundibugyo 0 0 375.4 19.1 346.3 22.5 849.6 102.9 Bushenyi Hoima Kabale Kabarole Kamwenge Kanungu Kasese Kibaale Kisoro Kyenjojo Masindi Mbarara Ntungamo Rukungiri Sub-Total 10.7 0.5 18.1 8.1 0.4 2.2 2 0.3 2 2.3 2.8 10.5 2.9 5.7 68.5 0.2 4.3 18.7 7.8 0 14.9 0 0 0 19.9 1.1 12.3 3.3 0 82.5 678 484.4 81.4 331.3 243.9 190 394.4 796.7 102.9 424 509.7 37 0 169.3 4818.4 32.6 267 3.4 64.8 10.3 3.3 22.5 344.3 2.9 118.4 19.8 1.7 0 0 910.1 173 848.9 4.7 142.2 271.2 141.2 668.7 729.1 0 856 3930.6 178.4 19.3 85.5 8395.1 145.1 85.6 5.6 2.8 39.9 26.8 183.6 24.3 0.9 30 270.9 1704.8 3.1 40.6 2586.5 629.3 715.6 164.5 215.1 533.7 115.1 553.1 521.1 28.3 663.9 2014.6 4930.9 971.1 333.1 13239 92 58.2 15 21.8 75.2 7.4 65.8 105.5 9.8 91.8 130 203.1 70 9.3 1058.2 187.2 164.0 6,501.4 2,740.5 39,741.4 14,224.1 51,152.6 4,840.6 0.0 0.0 3.0 1.0 16.0 6.0 21.0 2.0 Grand Total percent of total Note: THF refers to Tropical High Forest. Source: National Forestry Authority, Ministry of Water, Lands and Environment 133 Table 1.2 C: Summary of Land cover statistics by region and district (sq. kms), 2005 Region/District CENTRAL Kalangala Kampala Kayunga Kiboga Luwero Masaka Mpigi Mubende Mukono Nakasongola Rakai Sembabule Wakiso Sub-Total Built-Up Areas Bush lands Commercial Farmlands Cultivated Lands Grasslands Impediments 0.1 81.5 2.8 1.2 5.1 9.5 3.8 4.7 14.4 7.9 3.3 0.6 30.8 165.8 7.3 6.2 113.5 90.4 55.7 75.7 90.0 217.8 108.0 408.6 255.5 456.9 38.6 1,924.2 1.2 3.3 1.1 3.9 3.7 10.6 28.8 151.4 0.7 1.6 0.1 24.0 230.3 146.9 71.7 890.1 1,669.5 2,392.9 2,328.1 1,711.2 3,718.1 1,795.6 958.2 1,605.1 855.1 1,256.2 19,398.5 114.7 0.8 281.5 907.0 1,230.7 898.3 834.6 991.1 321.2 780.9 1,928.4 852.1 209.1 9,350.5 0.2 0.0 0.4 0.8 0.0 1.2 0.6 3.3 3.2 42.6 11.8 1,157.4 53.9 0.8 3.3 5.5 18.3 0.5 5.9 1.4 4.7 3.8 1.7 12.2 2.7 1.8 13.5 10.1 88.4 37.5 39.1 20.9 18.9 87.3 53.3 2.4 80.9 32.2 13.2 3.6 28.9 25.3 31.5 517.4 1.6 0.9 81.9 2.4 5.4 3.7 6.6 2.1 2.3 4.3 36.9 159.9 561.2 2,209.5 505.6 947.4 2,613.7 611.5 2,300.1 1,704.9 743.6 1,076.4 1,463.0 592.5 1,831.6 1,513.1 19,831.5 24.5 37.1 4.4 195.8 337.8 584.5 2,410.0 771.5 70.2 73.8 134.6 249.4 723.8 55.8 5,727.0 0.1 0.2 1.0 0.1 0.5 0.4 0.2 0.1 0.3 0.1 3.8 EASTERN Bugiri Busia Iganga Jinja Kaberamaido Kamuli Kapchorwa Katakwi Kumi Mayuge Mbale Pallisa Sironko Soroti Tororo Sub-Total Source: National Forestry Authority, Ministry of Water, Lands and Environment. 134 Table 1.2 C (cont’d): Summary of Land cover statistics by region and district (sq. kms), 2005 Region/District Commercial Built-Up Bush lands Cultivated Grasslands Impediments Adjumani 3.2 13.6 Apac 4.6 84.1 6 1,358.10 432.6 0.2 12.6 4,527.20 927.5 2 Arua 5.7 221.8 1.2 Gulu 7.9 300.1 3.5 3,460.40 339.6 0.7 6,123.50 1,623.80 0.9 Kitgum 3.3 241 - Kotido 1.2 2,375.70 - 4,079.00 1,776.10 0.4 2,276.30 6,863.90 3 Farmlands NORTHERN Lira 10.5 67.3 6.1 4,800.50 909.4 1.9 Moroto 2.7 2,106.80 - 1,344.30 4,555.20 0.7 Moyo 2.1 39.4 - 565.1 566.5 0 Nakapiripirit 1.1 1,633.60 0.8 738.2 3,103.50 1.4 Nebbi 0.8 191.5 1.2 1,783.20 627.6 - Pader 3.3 11.5 - 4,354.60 673.6 2.9 Yumbe 0.1 2.8 - 909.6 437 1.2 46.5 7,289.30 31.3 36,320.10 22,836.20 15.2 Sub-Total WESTERN Bundibugyo 0.6 18.8 - 559.2 849.6 - 5 121.3 10 2,400.30 629.3 0.3 Hoima 3.4 71.6 12.9 1,609.80 715.6 - Kabale 5.8 4.7 0.2 1,395.10 164.5 - Kabarole 6.3 2.3 52.7 1,106.30 215.1 - Kamwenge 0.7 33.3 0.7 1,341.00 533.7 0 1 22.4 3 863.9 115.1 - Kasese 12.3 153.5 42.5 1,339.60 553.1 4.9 Kibaale 2.7 20.3 - 2,203.40 521.1 3 Kisoro 2.1 0.7 - 580.3 28.3 - Kyenjojo 1.6 25 29.1 2,182.60 663.9 4.9 Masindi 9.4 226.5 108.9 2,836.70 2,014.60 0.1 Mbarara 11 1,425.50 2.8 3,186.40 4,930.90 1.7 Bushenyi Kanungu Ntungamo 1.3 2.6 - 987.4 971.1 - Rukungiri 1.7 33.9 - 876.4 333.1 - Sub-Total Total 65.1 2,162.60 263 23,468.30 13,239.00 14.9 365.7 11,893.60 684.5 99,018.40 51,152.70 37.1 Source: National Forestry Authority, Ministry of Water, Lands and Environment. 135 Table 1.2 C (cont’d): Summary of Land cover statistics by region and district (sq. kms), 2005] Region/District Plantations - Plantations - Tropical Tropical Water Hardwoods Softwoods High High Forest Bodies Wetlands Woodlands Forest Depleted Normal CENTRAL Kalangala - - 0.4 163.3 8,600.30 0.3 35.3 Kampala 0.2 - 3.6 - 16.8 14.5 0.2 Kayunga 4.4 1.1 3.2 0.5 114.5 184.1 103.4 Kiboga 0 3.6 28.4 23.4 0.2 122.8 1,197.80 Luwero 0.6 0.2 41.4 1 1.3 240.1 1,721.10 Masaka 9.3 0 71.3 44.7 1,129.70 83.3 38 Mpigi 0.7 - 144.6 154.8 338 82.7 234.5 Mubende 5.3 1 178 36.5 154.3 160 701.8 Mukono 3.7 1.6 341.4 406.2 9,289.70 172.3 49.3 0 12.7 - - 238.8 158.1 944 Rakai 5.2 - 23.8 135.9 755.3 88.6 104.8 Sembabule 0.7 - - - 0.8 36 117 2.4 0.1 160.8 50.7 901.1 64.7 68.6 32.5 20.4 996.9 1,017.00 21,540.80 1,407.50 5,315.90 Nakasongola Wakiso Sub-Total EASTERN Bugiri 0 - 11.9 10.7 4,101.70 105.4 171.6 Busia 0.1 0.1 13.8 3.2 28.5 29.1 56.5 Iganga Jinja Kaberamaido 1.2 - - 4.3 2.7 146.2 35.9 24.2 1.4 1.9 0.2 49.7 12.2 2 - - - - 269.4 61.5 130.4 Kamuli 2.1 0.2 - - 649.2 396.8 205.1 Kapchorwa 0.1 11.1 103.9 143.9 - 10.4 206 0 - - - 99.1 65.9 131.7 Katakwi Kumi 0.9 - - - 115.7 106.4 59.9 1 1 107.6 9.5 3,556.00 57.1 51.7 Mbale 4.1 - 78.3 35.3 0 5.1 74.2 Pallisa 0.3 - - - 66.3 312.1 6.9 Sironko 0.4 - 45.3 15.6 - 30.1 127.6 Soroti 0.1 2.1 - - 503.7 225.2 48.1 Tororo 1.5 - 0.3 0 0.1 178.6 21.2 36.1 15.9 363.1 222.8 9,442.10 1,742.10 1,328.70 Mayuge Sub-Total Source: National Forestry Authority, Ministry of Water, Lands and Environment. 136 Table 1.2 C (cont’d): Summary of Land cover statistics by region and district (sq. kms), 2005 Region/District Tropical Tropical High High Forest Forest Depleted Normal - - 9.4 Plantations - Plantations Hardwoods - Softwoods Water Wetlands Woodlands 56.1 94.3 1,113.40 Bodies NORTHERN Adjumani - Apac 1.3 - - - 355.3 114.6 512 Arua 13.6 2.9 - - 37.4 80.6 1,312.20 Gulu 2 3.6 - - 96.6 71.6 3,482.00 Kitgum - - - - 3.1 - 3,531.60 Kotido 0.1 - - - 0.2 - 1,724.70 Lira 0.6 2.2 - - 783.3 110.6 508.3 - - - - - - 508 0.1 0 0 - 90 102.3 525.3 - - - - - 14.4 340.7 Nebbi 1.2 15.3 - 1.4 82.3 31.8 181 Pader 0 0 - - 5.8 - 1,877.60 Moroto Moyo Nakapiripirit Yumbe Sub-Total 0.5 - - - 10 12.6 1,029.10 19.5 24.1 0 10.8 1,520.00 632.9 16,645.90 - - 14.2 278.9 180.2 102.9 257.3 7.9 0.1 24.2 503.7 369.8 92 128.5 WESTERN Bundibugyo Bushenyi Hoima 0.3 3.2 198.4 359.9 2,268.70 58.2 630.7 Kabale 13.4 13.9 2.5 60.5 50.6 15 3.5 Kabarole 6 5.8 48.1 246.2 8.1 21.8 105.7 Kamwenge 0.3 - 7.6 181.2 64.1 75.2 201.5 Kanungu 1.6 11 2.4 141.2 18.1 7.4 104.9 Kasese 1.5 0 16.7 293 409.7 65.8 496.7 Kibaale 0.2 - 255.8 592 0.3 105.5 541.7 Kisoro 1.5 0 2.2 76.4 28.3 9.8 - Kyenjojo 1.7 14.8 88 315.1 0.1 91.8 636 Masindi 2.1 0.8 14.7 378.7 799.6 130.4 2,920.50 Mbarara 7.8 9.2 1.3 27.5 79.4 203.1 132.5 Ntungamo 2.2 2.5 - - 4.1 70 14.3 Rukungiri 4.2 - - 125.8 118.8 9.3 63.5 Sub-Total Total 50.7 61.4 676.2 3,580.10 4,399.80 1,058.00 6,237.50 138.8 121.7 2,036.30 4,830.70 36,902.80 4,840.40 29,528.10 Note: Figures are based on projections. Actual vegetation studies were undertaken in 1994 based on 1992 satellite imagery and the districts are as of 1995. Source: National Forestry Authority, Ministry of Water, Lands and Environment. 137 1.3 Forestry Table 1.3A: Total production of round-wood timber (‘000 tones), 2012– 2016 Category Monetary For sawn wood Poles-Construction Poles-Utility For poles For fuel wood - Household For fuel wood - commercial For fuel wood Industrial For charcoal Total Non-Monetary For poles For fuel wood - Household For fuel wood - Commercial For fuel wood Industrial Total Total Production of round wood For sawn wood For poles For fuel wood - Household For fuel wood - commercial For fuel wood Industrial For charcoal Total 2012 2013 2014 2015 2016 2,071 340 32 369 1,013 796 1,816 9,766 16,203 2,192 354 38 388 1,047 815 1,855 10,449 17,203 2,317 369 46 408 1,083 834 1,895 11,180 18,283 2,453 383 56 427 1,119 854 1,936 11,96 19,42 729 23,314 2,613 402 27,058 758 24,148 2,675 410 27,991 789 25,012 2,738 419 28,955 54 820 25,90 2,802 5 428 29,95 844 26,663 2,856 436 30,918 2,071 1,099 24,327 3,410 2,217 9,766 42,889 2,192 1,146 25,196 3,490 2,265 10,449 44,707 2,317 1,196 26,094 3,572 2,314 11,180 46,603 0 2,453 1,247 27,02 3,656 4 2,364 11,96 48,58 2 2,565 1,297 27,774 3,738 2,407 12,714 50,168 2,566 395 66 444 1,151 871 1,969 12,698 20,476 1 Note: Figures are based on projections. Household consumption is estimated to increase annually by 3.5 percent Source: NFA and UBOS. Table 1.3 B: Value of output of round-wood timber, 2012 - 2016 (Mill. Shs) 2012 Monetary Round wood for sawn wood Round wood for poles (Utility & construction) Round wood for fuel wood - Household Round wood for fuel wood - Commercial Round wood for fuel wood Industrial Round wood for charcoal Total Non-Monetary Round wood for poles Round wood for fuel wood - Household Round wood for fuel wood - commercial Round wood for fuel wood Industrial Total Total Production of Round wood For sawn wood For poles For fuel wood - Household For fuel wood - commercial For fuel wood Industrial For charcoal Total 2013 2014 2015 2016 225,582 88,784 8,101 7,959 18,148 58,574 407,148 285,063 138,806 8,374 8,147 18,540 62,669 521,599 320,335 181,488 8,515 8,242 18,739 64,858 602,177 361,976 237,718 8,643 8,329 18,920 66,894 702,481 401,501 289,275 8,735 8,390 19,064 68,785 795,750 13,165 130,042 18,447 2,842 164,495 13,582 133,750 18,793 2,891 169,009 13,841 136,038 19,004 2,920 171,792 14,075 138,109 19,194 2,947 174,308 14,278 139,937 19,353 2,971 176,351 225,582 87,507 138,143 26,406 20,990 58,574 571,643 285,063 285,063 116,824 142,122 26,939 21,430 690,608 320,335 320,335 338,267 118,820 143,742 27,227 773,969 361,976 361,976 401,926 120,628 145,201 27,488 876,789 403,854 395,384 460,925 122,279 146,528 27,704 972,101 Note: Figures are based on projections, Source: NFA and UBOS 138 1.4 Climate 1.4.1 Rainfall Table 1.4 A: Monthly rainfall for selected centres (mm), 2012 – 2016 TOWN ENTEBBE Long term 2012 Average 2013 2014 2015 2016 KAMPALA Long term average 2012 2013 2014 2015 2016 KASESE Long term average 2012 2013 2014 2015 2016 LIRA Long term average 2012 2013 2014 2015 2016 MASINDI Long term average 2012 2013 2014 2015 2016 MBARARA Long term average 2012 2013 2014 2015 2016 SOROTI Long term average 2012 2013 2014 2015 2016 TORORO Long term average 2012 2013 2014 2015 2016 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual 90 4.8 131.5 52 17.3 124.1 96 40.2 65.2 25.6 55.7 20.9 177 106 213.7 172.2 329.2 204.7 274 209.8 178.7 275.1 194.6 404.6 258 202.4 198.4 193 295.1 213.3 102 74.6 16.7 158 48.6 122.5 67 0.5 5.3 49.2 48.6 3.9 83 42.6 47.9 171.1 59.7 87.4 80 65.5 201.5 199.4 17 148.9 111 79 71.1 138.4 210.5 47.3 162 177.9 139.1 82.4 255.5 109 119 258.9 108.6 95.6 101.5 134.5 1,619.0 1,262.2 1,377.7 1,612.0 1,633.3 1,621.1 51 3.4 88.6 70 2.2 55 62 87.7 90.2 14.1 59.9 28 113 60.8 182.4 124.9 91.4 118.7 182 65.3 151.1 274.5 86.3 297 140 113.5 143.4 172.7 215.6 111.3 75 125 16.2 89.1 71.1 46.9 31 0.7 17.1 25.8 0.8 18.2 40 22.8 52.5 29 15.2 5.8 116 18.6 65 145.5 35.6 72.8 152 302.8 177.8 63.5 113.4 141.4 106 124.1 108.9 50 80.1 86.5 54 13.8 8.7 25.4 74.1 114.1 29 68.1 28.7 2.6 33.2 41 7.4 12 14.7 2.3 23.4 91 23.9 143.4 95 60.2 81.3 172 321.1 128.8 112.3 170.7 219.7 190 135.6 149.4 240.7 297.9 228.7 32 36 22.8 66 56 15.8 20.6 16.5 25.4 8 107 54.3 170.2 176.2 99.5 104.4 162 237.6 239.4 288 122.4 45 1 79.7 9.3 1.4 30.2 64 42.4 18.2 14.9 28.5 50.8 96 44.6 133.1 113.5 124.5 122.2 32 14.5 29.7 56 3.3 5.9 9 2.1 107 9.8 73.7 26 66.2 78 11.2 9.8 18.6 27.8 33.5 138 109.7 236.3 57.7 61.7 55.2 55 70.9 83.5 0.2 28.1 50 64.8 12.6 36.2 22 12 101 91.3 236.9 65.3 99.4 93.6 109 87.5 102.5 138.5 286.6 94.2 114 217 181 295.2 343.5 213.2 97 212.8 118.7 87.1 190.9 75.8 1,180.0 1,213.0 1,367.7 1,606.2 1,554.4 1,255.3 64 51.3 97.1 167.3 122.2 45.3 123 276.9 89.1 124 85.3 150.5 101 68 8.4 19.1 19.7 17.7 84 36.6 80.2 125.8 21.9 151.2 122.3 200.8 137.5 123.3 27.5 16.7 49.3 21.1 970.0 847.6 854.6 992.9 755.1 947.9 126 86.3 109.1 83.2 180.7 92.4 126 89.7 234 128.4 162.5 204.3 215 255.3 244.7 278.9 143.1 72.7 168 278.9 221.5 155.1 140.7 119.6 149 131.9 242.2 189.1 107.9 143.4 84 147.8 116.5 138.8 171.4 59.3 43 93.4 33 15.3 38.9 - 1,434.0 1,571.3 1,702.7 1,480.2 1,478.9 1,278.0 146 170.2 188.8 111.1 140.4 105.6 97 85.4 51 144.7 108.1 62 109 145 133.6 105.2 72.8 71.3 137 130.9 49.2 168.9 42.1 87.9 141 282.3 156.9 154 144 142.9 147 127.6 91.7 219 243.6 290.9 122 131.2 156.3 135.4 174.1 101.6 48 174.9 31.6 36.3 128.9 34.9 1,304.0 1,555.2 1,085.9 1,529.5 1,466.9 1,197.9 123 208.2 209.2 109.4 146.6 135 78 132.2 70.3 15.9 34 19.4 23 21.8 19.8 114 13.6 20 34.3 0.9 20.5 3.4 2.7 61 130.2 142.8 115.2 7.1 26.8 95 139.2 97.4 74.3 89.8 125.7 105 156.4 109.7 129.3 85.9 48.5 120 158.5 129.9 167.2 136.8 99.8 75 111.3 41.2 110.6 58.8 69.9 905.0 1,180.1 1,032.4 899.9 830.8 744.6 162 304.8 145.6 312.9 252.3 146 130.1 162.2 151.3 130.2 97 105.4 74.9 191 120.5 109 141.4 93.6 109.5 121.7 137 207 231.6 138.7 153.9 141 209.2 105.6 109.9 176.6 147 62.7 161.7 199 37.2 122 122.8 125.9 292.7 43.2 48 107.4 8.7 99.9 2.6 1,304.0 1,403.9 1,203.9 1,639.9 1,136.2 225 226.4 228.1 113.9 59 246.1 224 408.1 232.7 242.5 61 124.4 108 156.3 43.3 146.8 103.4 146.3 31 86 83.9 44.1 238.6 85.5 109.6 96 77.1 37.7 50.2 98.3 65.4 118 108 187.5 108 66.7 81.4 111 103. 229.2 182.2 123.6 42.6 125 201.6 92.6 291 201.9 118.7 109 159.6 169.6 116 139.2 102.9 78 111.8 54.5 88.6 75.6 35.2 1,465.0 1,673.1 1,592.2 1,499.0 1,018.4 1,079.8 Note: tr- trace, -Data not available Source: Uganda National Meteorological Authority 139 Table 1.4 B: Distribution of rain-days by month, 2015 Centre Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Arua 2 Entebbe 2 4 7 4 10 Jinja 1 Kabale 3 7 10 Kampala 1 7 Kasese Lira 0 1 Masindi Mbarara Dec Annual 12 6 11 11 12 10 15 18 20 4 4 5 8 16 13 2 105 18 12 121 9 16 10 8 6 4 8 10 16 11 7 4 1 12 18 25 15 127 13 20 14 121 8 13 14 10 2 7 10 16 21 13 122 4 7 13 10 11 6 0 8 16 20 13 11 3 13 13 14 2 96 11 11 15 15 11 132 0 5 7 16 11 13 9 1 6 8 11 3 7 1 5 16 18 16 8 124 2 10 13 15 7 84 Soroti 0 1 5 15 14 15 Tororo 0 4 6 18 18 15 9 12 10 20 18 10 129 9 11 11 20 15 11 138 Gulu 0 1 5 18 18 13 10 12 11 15 13 4 120 Source: Uganda National Meteorological Authority. 140 1.4.2 Temperature Table 1.4 C: Temperature (Degrees Celsius) for selected centres, 2012- 2016 TOWN ARUA Jan Long Term average 2016 Max 30.5 2016 Min 17.4 Mean daily 2012 Max 31.9 2012 Min 16.6 2013 Max 30.9 2013 Min 17.5 2014 Max 31.6 2014 Min 16.7 2015 Max 31.2 2015 Min 11.7 2016 Max 31.1 2016 Min 17.5 ENTEBBE Long Term average 2016 Max 26.7 2016 Min 16.8 Mean daily 2012 Max 28.1 2012 Min 18.8 2013 Max 2013 Min 2014 Max 27.9 2014 Min 20.4 2015 Max 28.2 2015 Min 18.6 2016 Max 27.1 2016 Min 19.7 GULU Long Term average 2016 Max 31.9 2016 Min 16.5 Mean daily 2012 Max 33.2 2012 Min 18.3 2013 Max na 2013 Min na 2014 Max 33.7 2014 Min 19.3 2015 Max 32.6 2015 Min 17.6 2016 Max 32.3 2016 Min 19.3 Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual 31.1 18 30.2 18.3 28.8 18 27.9 17.5 27.1 16.9 26.1 16.4 26.3 16.3 27.2 16.5 27.9 16.9 28.4 17.2 29.1 17 28.4 17.2 33 17 32 18 32 17 33 15 33.8 19.1 33 19 31 18 28 16 33 15 32.7 19.7 29.2 18 28.7 17.2 29.2 17.3 28.4 13.9 30.1 18.6 28.1 17.6 28.4 17.5 28.7 17.1 28.1 14.5 28.7 18.1 28 17 28 17 27 17 29 15 28.6 17.4 25.8 16.4 26.5 16.4 27.7 17.8 28.1 13.1 26.9 17.1 26.3 16.7 26.9 27 16 28 26.7 16.8 27.4 14 27.5 16.7 28 17 29 17 28.1 16.6 27.6 17.1 27.4 16.6 27.6 16.2 28.1 17.4 28 17 28 17 28 17 28 17 28 18 28.7 17.3 28 17 29 16 30 15 29 17 30.6 16.9 28.2 17.2 28.7 17.1 28.6 16.7 29.4 15 29.6 17.7 26.8 17.2 26.6 17.9 25.9 17.9 25.5 17.8 25.4 16.9 25 16.1 25.2 16.2 26 16.4 26.3 17 26.1 17.3 26.1 17.1 26 17.1 30 17 28 20 28 20 28.6 20.9 27 19 29 17 26 19 28 20 28.3 21 25.4 18.3 29.4 17 26.3 19.1 26 19 26.3 19.4 24.8 19.1 28.9 17.3 25.6 19.2 26 19.6 26.3 19.9 26 18 29 17 26 19 27 18 26.6 19.4 26.1 18.1 28.4 16.1 26 18.4 26.4 19 26.5 18.7 17.9 27.4 16.2 25.6 18.1 26.8 18.9 26.2 18.6 26 18 28 16 26 18 27 19 26.6 18.7 26 18.7 27.9 16.2 26.2 18.8 26.8 19.2 27.1 19.2 29 17 26 19 26 19 26.6 17.1 26 18 29 17 26 19 26 19 27 18.2 26.1 18.5 28.7 16.7 26.4 19.1 26.9 19.1 26.9 19.2 32.1 17.2 31.1 17.7 29.3 17.8 28.2 17.5 27.6 17 26.6 16.7 26.9 16.7 28.1 16.7 28.9 16.8 29.5 16.5 30.4 16.3 29.2 17 35 20 na na 33 19 35 21 35.1 20.5 35 21 na na 33 21 34 21 35.3 21.3 30.4 19.6 Na Na 29.9 19.9 29.1 19.4 30.5 20.3 29.1 19.1 na na 29.6 19.6 29.4 19.7 29.4 20.1 28.2 18.5 na na 28.5 18.5 30 18.9 28.9 19.1 29 18 na na 29 19 31 19 29.3 19 29.8 19.3 na na 29.2 18.9 30 19.2 30.2 19.4 30 19 na na 30 19 29 19 30.5 19.5 30 19 na na 31 25 30 18 31.4 19.6 30.6 19.1 na na 29 20 29 20 29.3 19.8 28.1 18.4 na na 28.8 19.3 29.7 18.9 28.5 19.1 30.5 19.8 30.8 19.3 30.9 19.8 Source: Uganda National Meteorological Authority 141 Table 1.4 C(cont’d): Temperature (Degrees Celsius) for selected centres, 2012- 2016 TOWN Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual KAMPALA Long Term average 2016 Max 28.4 28.3 27.5 26.1 25.4 25.2 25.1 25.6 26.6 27.2 27.2 27.2 26.7 2016 Min 18.1 18.1 18 17.6 17.5 17.2 16.5 16.4 16.6 16.9 17.3 17.4 17.3 2012 Max 30.2 30 29 27.2 27.5 27 26.9 27.4 27 28.2 28 24 27.7 2012 Min 16.8 17 18 16.6 16.6 17 16.1 16 16 16.1 16 15 16.4 2013 Max 28.6 29 28 28 27.9 26.9 28 28.2 28 28 28 2013 Min 16.7 17 18 19 18.1 18.1 18 18.3 18 19 18 2014 Max 29.3 30 30 28 27.1 27 27.8 27.1 28 28.1 28 28 28.2 2014 Min 19.4 20 19 18.8 19 19 18.5 17.9 18 18.8 18 19 18.8 2015 Max 30.5 31 31 27.8 27.9 27 28 28.7 30 28.9 28 28 28.8 2015 Min 18.5 20 20 18.8 19.3 19 19 18.7 19 19.1 19 19 19 2016 Max 29.1 31.7 30.7 28.4 28.1 27.8 28.3 28.6 28.9 29.7 28.7 29.9 29.2 2016 Min 21.2 19.9 20 19.1 19.2 19.5 18.2 18.1 18.3 18.7 18.8 19.3 19.2 2016 Max 30.9 31.1 30.3 29.6 29.8 29.8 29.7 30 30.3 29.3 28.8 29.7 29.9 2016 Min 15.8 16.7 17 17.3 16.8 16.1 15.5 16.5 16.1 16.1 16.3 15.3 16.3 2012 Max 31.9 33 33 29.9 29.1 30 30.5 31 29.5 2012 Min 16.1 17 18 19.4 18.5 18 17.5 17 17 2013 Max 30 30.4 31 31.2 30.3 30 29.5 31 30 2013 Min 18 18.7 18 16.5 16.8 17 17.4 16 17 Mean daily KASESE Long Term average Mean daily 31 17.6 2014 Max 32.6 32 31 30.3 30.3 31 30.9 29.7 30 30.4 30 31 2014 Min 16 16 18 18.2 18.2 18 16.8 17.2 17 17.2 17 17 2015 Max 32.5 33 32 30.2 30.4 30 31.6 32.6 31 29.4 29 30 31.1 2015 Min 16.4 16 18 18.6 18.1 18 17.6 17.2 18 18.6 19 18 17.8 2016 Max 31.1 33.5 34.1 30.5 31.5 30.6 31.4 31.7 31.8 31.5 29.9 31.8 31.6 2016 Min 18.4 18.8 19.7 19.5 18.9 17.9 17.4 17 16.8 16.7 17 15.1 17.8 2016 Max 33.2 33.3 32.3 30.2 28.8 28.2 27.3 27.8 28.8 29.8 30.7 31.2 30.5 2016 Min 16 16.8 17.4 17.4 17.1 16.7 16.1 16.1 16.1 16 16 15.7 16.8 2012 Max na na na na na na na na na na na na 2012 Min na na 16 16.1 15.3 15 14.6 14.7 14 14.5 14 2013 Max na na na na na na na na na na na na na 2013 Miin 13.8 14 14 14.8 14.4 15 13.2 13.7 14 13.8 13 13 13.8 2014 Max na na na na na na na na na na na na 2014 Min 13.2 13 14 14.3 13.6 14 13.8 14.6 2015 Max 33.8 34 34 31.5 29.2 29 29.8 30 31 30.7 29 30 31 2015 Min 17.9 18 19 18.3 18.9 19 18 17.4 18 17.8 17 16 17.8 2016 Max 31.8 35 34 30.2 29.7 30 28.6 29.4 30 30.9 31 33 31.2 2016 Min 17.4 19 20 19.7 19.4 19 18.4 18.3 18 18.2 19 19 18.7 LIRA Long Term average Mean Daily na 14.9 13.9 142 Table 1.4 C(cont’d): Temperature (Degrees Celsius) for selected centres, 2012- 2016 TOWN MASINDI Long Term average 2016 Max 2016 Min Mean Daily 2012 Max 2012 Min 2013 Max 2013 Min 2014 Max 2014 Min 2015 Max 2015 Min 2016 Max 2016 Min JINJA Long Term average 2016 Max 2016 Min Mean daily 2012 Max 2012 Min 2013 Max 2013 Min 2014 Max 2014 Min 2015 Max 2015 Min 2016 Max 2016 Min Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual 30.6 16.6 30.9 17.1 30.1 17.5 28.8 17.6 28.1 17.5 27.8 16.7 26.8 16.3 26.9 16.2 27.7 16.2 28.2 16.7 28.6 16.8 29.1 16.4 28.6 16.8 na 14.9 na na 15 na na na na na 18.1 31.2 16 29.6 18.1 na 18 32 17 33.2 18.5 na 16 32 19 na 19 31 17 33.3 19.1 na 18.3 29.5 17.9 29.5 17.3 na na na 18.5 na 18.6 28.8 16.8 29.4 17.2 na na na 18 na 18 29 16 29 16.4 na na na 17.3 na 17.7 29.4 15.7 28.4 15.7 na na na 17.5 na 18.5 29.3 15.6 28.7 17.6 na na na 18 na 17 30 16 28.7 17.7 na na na 17.9 na 17.2 27.7 15.7 29.2 18.1 na 16 na 18 na 17 28 18 29 18.3 na 16 na 19 na 17 28 18 30.9 17.7 na 15.7 31.6 18.1 na 17.9 29.4 16.7 29.9 17.6 28.9 15.8 28.9 16.4 28.7 17.3 27.6 17.5 27.1 17.2 26.9 16.2 26.6 15.4 27.1 15.7 28 16 28.3 16.6 28.1 16.6 28.2 16.1 27.9 16.4 31.4 16 29.1 17.4 29.6 17.3 30.4 15.2 28.7 17.2 31 17 30 17 31 17 31 17 32 18 29 18 29 18 30 18 31 18 31 19 27.3 17.9 27.8 18.1 28.5 17.7 27.4 17.3 28.4 18.6 27.6 17.9 27.8 17.8 27.4 17.8 27.6 17.7 27.8 18.1 27 18 28 17 27 17 28 17 28 17 27 16.5 27.8 15.5 28 16.5 28.3 16.5 28 16.3 25.6 16.6 27.4 16.6 27.7 16.1 28.8 17.4 28.7 16.6 24 17 28 17 28 17 29 18 29 17 28.6 17.8 28.3 17.2 27.8 17.1 28.6 18.4 29.7 17.1 28 18 28 17 28 17 28 17 29 17 28 18 28 17 28 17 28 18 31 16 27.9 17.3 28.3 17.1 28.5 17 28.8 17.3 29.2 17.4 Source: Uganda National Meteorological Authority 143 1.4.3 Relative Humidity Table 1.4 D: Relative humidity for selected centres, 2012– 2016 TOWN Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Mean R.H 06:00 67 67 73 82 85 87 89 90 88 84 76 73 Mean R.H 12:00 38 36 44 56 60 63 66 66 62 60 52 46 2012 Mean R.H 06:00 53 43 55 78 79 82 0 87 86 79 69 70 2012 Mean R.H 12:00 25 23 29 52 57 57 0 67 61 73 54 48 2013 Mean R.H 06:00 64 62 73 77 78 82 87 87 82 80 79 60 2013 Mean R.H 12:00 36 32 45 58 55 57 65 61 63 58 53 38 2014 Mean R.H 06:00 59 57 74 78 78 81 85 87 87 79 76 63 2014 Mean R.H 12:00 27 29 40 51 55 54 55 61 62 62 59 37 2015 Mean R.H 06:00 53 61 72 76 83 86 83 78 80 82 77 60 2015 Mean R.H 12:00 26 28 41 53 58 62 55 59 56 60 57 41 2016 Mean R.H 06:00 54 48 69 80 82 80 86 84 83 79 75 63 2016 Mean R.H 12:00 31 23 39 55 57 56 62 58 58 57 52 38 Mean R.H 06:00 78 84 80 83 82 79 78 82 80 79 84 79 Mean R.H 12:00 71 68 69 73 72 70 67 68 68 66 70 69 2012 Mean R.H 06:00 55 0 62 74 72 72 67 66 69 65 0 67 2012 Mean R.H 12:00 89 0 62 74 72 72 67 66 69 65 0 67 ARUA ENTEBBE 2013 Mean R.H 06:00 83 81 85 86 80 77 86 83 84 81 77 2013 Mean R.H 12:00 - - - - - - - - - - - - 2014 Mean R.H 06:00 87 80 82 87 86 85 83 87 88 87 85 86 2014 Mean R.H 12:00 66 63 68 74 75 73 70 75 69 70 69 70 2015 Mean R.H 06:00 74 82 79 82 85 83 82 83 80 85 87 86 2015 Mean R.H 12:00 51 63 60 72 74 68 68 67 67 68 77 68 2016 Mean R.H 06:00 83 85 85 89 85 83 81 80 82 79 83 79 2016 Mean R.H 12:00 67 63 68 74 76 63 64 67 68 66 69 63 Mean R.H 06:00 59 62 67 79 80 58 83 83 81 77 76 70 Mean R.H 12:00 32 32 38 55 57 40 58 60 58 53 50 45 2012 Mean R.H 06:00 47 51 60 78 82 0 86 87 84 74 77 72 2012 Mean R.H 12:00 26 24 27 55 58 0 63 65 60 51 54 46 2013 Mean R.H 06:00 63 60 75 80 78 78 84 83 81 81 75 - 2013 Mean R.H 12:00 38 31 47 57 53 53 58 60 59 57 51 - 2014 Mean R.H 06:00 58 49 65 75 80 84 87 87 81 82 77 64 2014 Mean R.H 12:00 30 26 42 51 58 61 61 62 57 64 54 41 2015 Mean R.H 06:00 48 56 57 82 83 85 78 79 77 79 79 66 2015 Mean R.H 12:00 24 26 32 62 61 61 52 54 52 56 59 49 2016 Mean R.H 06:00 64 48 65 85 82 81 83 82 83 75 72 56 2016 Mean R.H 12:00 15 25 36 56 63 56 58 56 59 50 50 32 GULU Source: Uganda National Meteorological Authority 144 Table 1.4 D(ct’d): Relative humidity for selected centres, 2012– 2016 TOWN Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Mean R.H 06:00 79 77 79 82 84 84 86 85 83 82 80 82 Mean R.H 12:00 48 50 55 62 64 61 56 59 59 59 60 59 2012 Mean R.H 06:00 75 68 79 85 84 85 89 88 83 80 82 82 2012 Mean R.H 12:00 36 41 52 64 61 65 61 57 59 60 61 63 2013 Mean R.H 06:00 81 75 82 81 84 80 82 85 83 82 76 78 2013 Mean R.H 12:00 54 48 56 61 62 56 53 58 60 59 59 58 2014 Mean R.H 06:00 84 70 77 82 85 85 84 84 80 85 83 80 2014 Mean R.H 12:00 51 41 51 59 65 84 58 62 57 64 61 57 2015 Mean R.H 06:00 68 78 72 84 83 86 84 82 80 79 87 84 2015 Mean R.H 12:00 37 48 45 63 63 66 59 54 54 62 66 61 2016 Mean R.H 06:00 84 83 76 86 87 86 85 81 81 74 78 67 2016 Mean R.H 12:00 57 47 53 65 65 62 58 53 56 51 55 43 Mean R.H 06:00 45 40 48 55 61 52 44 52 56 60 38 48 Mean R.H 12:00 73 72 79 83 86 83 75 84 85 82 69 72 2012 Mean R.H 06:00 92 89 93 96 97 96 93 93 95 97 95 97 2012 Mean R.H 12:00 45 47 55 69 71 61 50 49 60 66 71 67 2013 Mean R.H 06:00 95 95 98 97 96 90 88 90 95 92 94 96 2013 Mean R.H 12:00 55 53 65 64 65 47 40 49 61 60 68 61 2014 Mean R.H 06:00 96 93 96 99 94 88 91 94 95 93 94 95 2014 Mean R.H 12:00 54 56 65 65 63 54 45 56 59 64 64 62 2015 Mean R.H 06:00 91 96 91 97 96 95 90 84 93 96 96 97 2015 Mean R.H 12:00 52 56 55 69 63 59 44 42 56 75 71 65 2016 Mean R.H 06:00 95 94 98 97 96 93 92 88 91 93 94 95 2016 Mean R.H 12:00 61 57 61 74 65 55 45 40 52 59 65 56 Mean R.H 06:00 75 74 79 82 84.8 83 63 83.7 84 82 55 60 Mean R.H 12:00 47 44 49 54 58.9 51 36 50.7 54 59 38 41 2012 Mean R.H 06:00 73 72 76 85 90 88 86 86 82 - - 2012 Mean R.H 12:00 42 39 44 60 61 53 52 57 61 - - 2013 Mean R.H 06:00 - - 82 84 - 82 79 83 84 - - 79 2013 Mean R.H 12:00 - - 50 55 - 48 42 52 56 - - 55 2014 Mean R.H 06:00 74 73 79 82 83 81 76 85 87 82 84 78 2014 Mean R.H 12:00 52 44 50 59 57 51 49 57 61 55 60 51 2015 Mean R.H 06:00 74 77 75 82 85 85 84 77 84 85 85 79 2015 Mean R.H 12:00 45 44 43 55 59 57 48 41 52 65 61 56 2016 Mean R.H 06:00 83 74 76 80 85 86 86 85 84 81 86 81 2016 Mean R.H 12:00 50 39 42 62 49 50 46 46 49 50 57 46 JINJA KABALE KASESE Source: Uganda National Meteorological Authority 145 1.5 Water supply Table 1.5 A: Amount of Water produced (cubic metres) by NSWC, 2011/12-2015/16 Town Kampala Metropolitan Jinja Entebbe 2011/12 58,621,020 5,246,721 2012/13 60,791,013 6,298,511 2013/14 63,832,767 6,886,306 2014/15 63,801,990 6,924,470 2015/16 66,305,796 7,186,106 4,043,707 4,887,885 5,228,955 5,797,043 5,956,707 Tororo 677,153 733,417 774,503 1,339,764 928,634 Mbale 1,483,003 1,476,422 1,551,125 2,103,242 1,827,683 Mbarara 2,473,624 2,826,557 2,987,590 3,501,956 4,340,476 Masaka 1,535,220 1,798,572 1,884,964 2,209,846 2,220,698 Lira 1,335,798 1,308,255 1,407,656 2,009,065 1,947,853 Gulu 768,814 1,273,685 1,160,347 1,140,778 1,206,148 Kasese 742,229 793,110 799,126 995,882 1,061,867 Fort Portal 836,634 869,219 893,353 955,931 1,007,843 Kabale 593,671 637,683 591,942 654,234 670,657 Arua 696,962 744,088 830,077 1,186,756 1,360,880 Bushenyi/Ishaka 397,160 432,700 538,670 712,432 1,187,455 Soroti 755,062 776,365 821,611 1,264,277 981,405 Hoima 361,019 428,791 503,462 482,159 612,327 Masindi 483,831 522,828 565,571 596,404 628,558 Mubende 349,048 391,124 447,997 456,957 559,936 Lugazi 215,589 309,154 319,118 292,854 310,023 Iganga - - - 0 - Kisoro - - 567,943 404,792 385,222 Kitgum - - 172,172 316,190 337,147 Mityana - - 403,044 465,778 485,975 Kamuli/Mbulambuti - - - - 166,096 Nebbi - - 160,912 191,384 378,392 Pader - - 47,023 69,300 113,286 Apac/Aduku - - 56,863 99,686 130,117 Luwero - - 119,224 418,331 560,177 Wobulenzi - - 42,216 - - Kabwohe/Itendero - - 37,997 - - Kalisizo - - 18,225 - - Rukungiri - - 41,188 173,500 224,296 Kanungu - - 48,408 178,753 217,152 Kitagata - - 2,655 - - Bweyale/Kiryandongo - - 9,101 95,901 115,228 Kaliro - - 13,481 - - Kamwenge - - 11,850 89,318 - Adjumani - - - - 139,669 81,616,265 87,299,379 14,994 4,648 11,575 93,808,658 95,316 110,909 117,867 92,248 267,752 99,613,066 79,688 244,564 434,412 72,733 104,933 315,282 424,945 310,905 105,541,271 Reshere Ntungamo Mpondwe Ruhama Kigumba Lyantonde Bombo Kyotera Paidha Ibanda Total Source: National Water and Sewerage Corporation 146 Table 1.5 B: Amount of Water billed (Cubic metres), 2011/12-2015/16 by NWSC Town Kampala Metropolitan Jinja Entebbe Tororo Mbale Mbarara Masaka Lira Gulu Kasese Fort Portal Kabale Arua Bushenyi/ Ishaka Soroti Hoima Masindi Mubende Lugazi Iganga Kisoro Kitgum Mityana Kamuli/Mbulambuti Nebbi/Paidha Pader Apac/Aduku Luwero Wobulenzi Kabwohe/Itendero Kalisizo Rukungiri Kanungu Kitagata Bweyale/Kiryandongo Kaliro Kamwenge Adjumani Moroto Reshere Ntungamo Mpondwe Ruhama Kigumba Lyantonde Bombo Kyotera Paidha Ibanda Total 2011/12 36,108,690 3,195,749 3,194,267 566,665 1,255,884 2,164,720 1,004,602 980,463 598,952 578,341 663,131 493,064 534,786 305,815 623,364 281,716 369,905 308,250 186,010 353,795 - 2012/13 37,816,387 3,298,862 3,523,586 615,757 1,263,292 2,387,789 1,102,569 1,007,353 773,637 601,221 618,986 498,943 533,313 311,003 656,405 284,375 412,300 336,485 228,649 382849 - 2013/14 40,252,490 3,337,127 3,727,184 620,645 1,326,300 2,405,884 1,179,505 1,052,729 842,014 610,389 682,351 485,503 559,741 357,031 692,649 342,836 443,673 366,746 239,843 443,839 287,407 113,136 220,054 2014/15 63,780,999 5,889,428 5,293,787 793,739 1,605,087 3,353,719 2,039,074 1,919,862 1,030,048 971,987 908,144 589,858 1,085,306 671,113 924,139 457,496 520,566 427,659 292,659 811,042 404,792 217,720 445,611 53,768,169 56,653,761 105,850 30,030 41,585 95,597 36,184 27,073 14,882 33,283 40,876 2,655 7,174 8,713 6,951 11,406 4,437 8,427 61,064,199 175,347 65,447 99,694 418,484 173,500 178,125 95,746 80,452 94,481 101,309 110,427 87,504 301,293 96,415,644 2015/16 66,296,391 5,618,326 5,420,384 900,505 1,827,683 4,079,509 1,912,729 1,819,100 1,073,728 1,011,050 978,820 621,755 1,085,713 1,033,004 976,905 582,226 586,970 522,138 306,968 1,040,874 385,222 250,384 442,603 159,877 343,118 93,857 130,117 558,617 222,485 217,152 115,228 124,293 139,669 127,207 72,049 221,365 392,397 72,733 104,933 364,978 306,852 102,775,679 Source: National Water and Sewerage Corporation 147 Table 1.5 C: Amount of Water Supplied and Billing efficiency, 2014/15 by NWSC Town Kampala Metropolitan Jinja Entebbe/Kajansi Tororo Mbale Mbarara Masaka Lira Gulu Kasese Fort Portal Kabale Arua Bushenyi/ Ishaka Soroti Hoima Masindi Mubende Lugazi Iganga Kisoro Kitgum Mityana Kamuli/Mbulambuti Nebbi/Paidha Pader Apac/Aduku Luwero Wobulenzi Kabwohe/Itendero Kalisizo Rukungiri Kanungu Kitagata Bweyale/Kiryandongo Kaliro Moroto Kamwenge Adjumani Reshere Ntungamo Mpondwe Ruhama Kigumba Lyantonde Bombo Kyotera Paidha Ibanda Total H2O Produced 66,305,796 (m3) 2015/16 7,186,106 5,956,707 928,634 1,827,683 4,340,476 2,220,698 1,947,853 1,206,148 1,061,867 1,007,843 670,657 1,360,880 1,187,455 981,405 612,327 628,558 559,936 310,023 H2O Sold (m3) 45,222,907 2015/16 4,008,132 4,530,377 768,670 1,619,820 3,092,476 1,491,159 1,295,340 880,632 801,565 816,016 556,246 805,271 783,959 843,369 398,402 522,891 472,191 228,772 747,641 288,788 226,720 345,103 124,952 282,316 70,547 107,566 480,416 157,862 161,859 Billing Efficiency 68.2 ( percent) 55.8 76.1 82.8 88.6 71.2 67.1 66.5 73.0 75.5 81.0 82.9 59.2 66.0 85.9 65.1 83.2 84.3 73.8 385,222 337,147 485,975 166,096 378,392 113,286 130,117 560177 224,296 217152 H2O Supplied (m3) 66,296,391 2015/16 5,618,326 5,420,384 900,505 1,827,683 4,079,509 1,912,729 1,819,100 1,073,728 1,011,050 978,820 621,755 1,085,713 1,033,004 976,905 582,226 586,970 522,138 306,968 1,040,874 385,222 250,384 442,603 159,877 343,118 93,857 130,117 558617 222,485 217152 115228 139,669 79688 244,564 434,412 72,733 104,933 315282 424945 310905 105,541,271 115228 127,207 124,293 139,669 127207 72,049 221,365 392,397 72,733 104933 364978 306852 102,775,679 102,318 109,621 97,074 122,326 65,026 177,650 294,316 51,117 88,258 171,093 303,465 258,647 73,972,876 88.8 87.6 81.6 72.6 67.8 70.3 84.1 54.3 71.4 83.2 70.1 75.0 67.2 71.0 75.2 74.6 62.3 82.7 85.8 70.4 74.5 Source: National Water and Sewerage Corporation 148 2.0 Demography Statistics 2.1 Population Table 2.1 A: Estimated Mid-Year population by age groups, 2014 – 2017 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75+ Total Male 2014 Female Total Male 2016 Female Total Male 2017 Female Total 3,180,707 2,842,451 2,496,389 1,970,750 1,474,106 1,156,405 915,438 732,085 619,653 454,967 372,131 226,370 194,448 136,730 115,111 173,091 17,060,832 2,950,546 2,709,387 2,424,087 1,986,301 1,711,238 1,329,520 1,036,053 803,708 652,688 466,109 436,099 254,157 245,500 164,390 162,134 241,901 17,573,818 6,131,253 5,551,838 4,920,476 3,957,051 3,185,344 2,485,925 1,951,491 1,535,793 1,272,341 921,076 808,230 480,527 439,948 301,120 277,245 414,992 34,634,650 3,313,600 2,918,500 2,545,800 2,135,700 1,623,000 1,223,000 970,800 772,800 627,800 503,100 371,100 269,400 197,800 142,900 102,800 164,200 17,882,300 3,155,100 2,755,400 2,508,800 2,197,700 1,827,100 1,484,500 1,144,100 872,500 678,900 527,800 412,600 321,000 242,600 181,100 135,400 233,800 18,678,400 6,468,700 5,673,900 5,054,600 4,333,400 3,450,100 2,707,500 2,114,900 1,645,300 1,306,700 1,030,900 783,700 590,400 440,400 324,000 238,200 398,000 36,560,700 3,399,400 2,965,900 2,618,600 2,213,500 1,725,800 1,272,900 1,011,000 800,000 646,300 520,100 390,500 277,800 204,000 144,300 102,100 156,800 18,449,000 3,273,100 2,780,900 2,558,100 2,257,700 1,896,100 1,537,700 1,206,700 907,100 709,300 547,100 427,800 330,600 250,600 183,500 135,000 223,500 19,224,800 6,672,500 5,746,800 5,176,700 4,471,200 3,621,900 2,810,600 2,217,700 1,707,100 1,355,600 1,067,200 818,300 608,400 454,600 327,800 237,100 380,300 37,673,800 Source: Uganda Bureau of Statistics Table 2.1 B: Census Population and Mid-Year Population estimates by District, 20152017 District Census population 2002 2014 Population estimates 2015 2016 2017 Buikwe Bukomansimbi Butambala Buvuma Gomba Kalangala Kalungu Kampala Kayunga Kiboga Kyankwanzi Kyotera Luwero Lwengo Lyantonde Masaka Mityana Mpigi Mubende Mukono Nakaseke Nakasongola Rakai Ssembabule Wakiso 329,858 139,556 86,755 42,483 133,264 34,766 160,684 1,189,142 294,613 108,897 120,575 226,182 341,317 242,252 66,039 228,170 266,108 187,771 423,422 423,052 137,278 127,064 178,144 180,045 907,988 422,771 151,413 100,840 89,890 159,922 54,293 183,232 1,507,080 368,062 148,218 214,693 278,660 456,958 274,953 93,753 297,004 328,964 250,548 684,348 596,804 197,373 181,795 237,649 252,597 1,997,418 429,200 152,000 101,700 94,600 161,600 56,000 184,400 1,528,800 373,000 151,100 223,000 282,100 465,400 276,700 96,000 301,900 333,100 255,000 706,200 610,000 202,000 185,900 241,900 258,000 2,107,200 437,200 152,700 102,600 100,300 163,800 58,000 186,200 1,555,600 379,100 154,700 233,500 286,400 475,700 279,000 98,400 307,900 338,400 260,800 733,400 626,300 207,800 191,300 247,300 264,900 2,244,200 445,300 153,300 103,800 106,700 165,900 60,000 187,700 1,583,000 385,400 158,400 244,400 290,800 486,400 281,400 101,200 314,000 343,500 266,400 761,700 643,100 213,800 196,600 252,600 271,800 2,391,500 Sub total- Central region 6,575,425 9,529,238 9,776,800 10,085,500 10,408,700 149 Table 2.1 B ct’d: Census Population and Mid-Year Population estimates by District, 2015-2017 Population estimates District Census Population 2002 2014 2015 2016 2017 Amuria 180,022 270,928 278,200 287,100 296,500 Budaka 136,489 207,597 213,200 220,400 227,800 Bududa 123,103 210,173 217,700 227,100 237,000 Bugiri 266,944 382,913 395,200 410,200 426,000 Bukedea 122,433 203,600 210,400 219,200 228,100 Eastern Bukwo 48,952 89,356 93,000 97,500 102,400 Bulambuli 97,273 174,513 181,400 190,100 199,100 Busia 225,008 323,662 331,200 340,600 350,400 Butaleja 157,489 244,153 251,200 260,000 269,000 Butebo 93,330 144,971 149,200 154,400 159,800 Buyende 191,266 323,067 334,400 348,600 363,300 Iganga 355,473 504,197 515,500 529,500 544,100 Jinja 387,573 471,242 476,700 483,300 490,100 Kaberamaido 131,650 215,026 222,000 230,800 240,000 Kaliro 154,667 236,199 242,700 250,900 259,300 Kamuli 361,399 486,319 495,400 506,700 518,200 Kapchorwa Sub Total 74,268 105,186 107,600 110,400 113,500 Katakwi 118,928 166,231 169,800 174,300 178,800 Kibuku 128,219 202,033 208,000 215,700 223,400 Kumi 165,365 239,268 245,000 252,100 259,300 Kween 67,171 93,667 95,700 98,000 100,600 Luuka 185,526 238,020 241,600 246,200 250,800 Manafwa 115,451 149,544 151,900 154,900 157,900 Mayuge 324,674 473,239 484,800 499,200 513,900 Mbale 332,571 488,960 501,300 516,400 532,100 Namayingo 145,451 215,443 218,100 221,400 224,800 Namisindwa 147,115 204,281 208,800 214,100 220,000 Namutumba 167,691 252,557 259,300 267,800 276,400 Ngora 101,867 141,919 144,900 148,600 152,500 Pallisa 162,540 241,919 248,200 255,900 263,900 Serere 176,479 285,903 295,100 306,500 318,300 Sironko 185,819 242,421 246,400 251,400 256,400 Soroti 193,310 296,833 305,200 315,600 326,300 Tororo 379,399 517,080 527,200 539,700 552,700 6,204,915 9,042,420 9,266,300 9,544,600 9,832,700 150 Table 2.1 B ct’d: Census Population and Mid-Year Population estimates by District, 2015-2017 Population estimates District Census Population 2002 2014 2015 2016 2017 51,803 107,966 113,500 120,300 127,600 Adjumani 202,290 225,251 226,400 227,900 229,500 Agago 184,018 227,792 230,600 234,300 238,000 Alebtong 163,047 227,541 232,400 238,300 244,600 Amolatar 96,189 147,166 151,300 156,400 161,600 Amudat 63,572 105,769 109,400 113,800 118,600 Amuru 135,723 186,696 190,400 195,200 199,900 Apac 249,656 368,626 378,100 389,500 401,600 Arua 559,075 782,077 798,900 819,600 840,900 Dokolo 129,385 183,093 187,100 192,300 197,400 Gulu 193,337 275,613 281,900 289,600 297,700 Kaabong 202,758 167,879 171,000 175,200 179,400 Kitgum 167,030 204,048 206,400 209,500 212,500 Koboko 129,148 206,495 212,900 220,900 229,200 Kole 165,922 239,327 245,000 252,000 259,200 Kotido 122,541 181,050 185,600 191,400 197,200 Lamwo 115,345 134,371 135,600 136,900 138,400 Lira 290,601 408,043 417,000 427,900 439,200 Maracha 145,705 186,134 188,900 192,400 195,900 Northern Abim Moroto Moyo Nakapiripirit 77,243 103,432 105,400 107,600 110,100 194,778 139,012 141,400 144,600 147,600 90,922 156,690 162,400 169,500 177,100 Napak 112,697 142,224 144,300 146,700 149,300 Nebbi 166,834 238,959 244,400 251,300 258,400 Nwoya 41,010 133,506 144,600 159,300 175,400 Omoro 105,190 160,732 165,200 170,800 176,600 Otuke 62,018 104,254 108,000 112,400 117,100 Oyam 268,415 383,644 392,500 403,400 414,800 Pader 142,320 178,004 180,400 183,400 186,400 99,478 157,835 162,600 168,700 174,900 Yumbe 251,784 484,822 506,400 533,800 562,600 Zombo 169,048 240,081 245,500 252,200 259,100 5,148,882 7,188,132 7,365,500 7,587,100 7,817,800 Pakwach Sub Total 151 Table 2.1 B ct’d: Census Population and Mid-Year Population estimates by District, 2015-2017 Population Projections District/ Census Population Region 2002 2014 2015 2016 2017 82,881 120,720 123,700 127,200 131,100 Western Buhweju Buliisa 63,363 113,161 117,700 123,200 129,000 Bundibugyo 158,909 224,387 229,300 235,500 241,900 Bunyangabu 127,062 170,247 173,400 177,300 181,200 Bushenyi 205,671 234,443 236,000 238,100 240,200 Hoima 343,618 572,986 592,600 617,100 642,400 Ibanda 198,635 249,625 253,000 257,300 261,700 Isingiro 316,025 486,360 500,200 517,300 535,000 Kabale 194,939 230,609 232,800 235,500 238,300 Kabarole 229,852 298,989 303,800 309,900 316,100 Kagadi 228,329 351,033 361,000 373,200 386,100 Kakumiro 108,357 293,108 313,600 340,000 368,600 Kamwenge 263,730 414,454 426,800 442,200 458,100 Kanungu 204,732 252,144 255,200 259,200 263,100 Kasese 523,033 694,987 707,400 722,600 738,300 Kibaale 69,196 140,947 147,800 156,500 165,700 Kiruhura 212,219 328,077 337,500 349,200 361,300 Kiryandongo 187,707 266,197 272,200 279,600 287,200 Kisoro 220,312 281,705 285,900 291,100 296,400 Kyegegwa 110,925 281,637 300,000 323,600 348,900 Kyenjojo 266,246 422,204 435,100 451,200 467,800 Masindi 208,420 291,113 297,400 305,000 313,100 Mbarara 361,477 472,629 480,500 490,200 500,200 Mitooma 160,802 183,444 184,700 186,300 187,900 Ntoroko 51,069 67,005 68,200 69,600 70,900 Ntungamo 379,987 483,841 491,000 499,800 508,800 Rubanda 172,780 196,896 198,200 200,000 201,600 Rubirizi 101,804 129,149 131,200 133,200 135,800 Rukiga 90,599 100,726 101,400 101,800 102,500 275,162 314,694 317,000 319,800 322,500 Rukungiri Sheema Sub Total 180,234 207,343 208,900 211,000 212,900 6,298,075 8,874,860 9,083,500 9,343,500 9,614,600 Source: Uganda Bureau of Statistics 152 2.2 Education Table 2.2 A: Primary school enrolment by class and sex, 2012- 2016 Class/Year Sex P1 P2 P3 P4 P5 P6 P7 Total 2012 2013 2014 2015 2016 Male 943,061 945,886 973,641 929,397 949,261 Female 934,740 937,917 958,848 912,609 939,586 Total 1,877,801 1,883,803 1,932,489 1,842,006 1,888,847 Male 642,732 653,310 676,340 640,607 676,636 Female 641,390 654,435 672,893 637,367 676,257 Total 1,284,122 1,307,745 1,349,233 1,277,974 1,352,893 Male 644,642 656,110 682,153 642,761 672,964 Female 646,626 656,482 680,633 640,433 676,329 Total 1,291,268 1,312,592 1,362,786 1,283,194 1,349,293 Male 647,063 653,289 673,677 631,502 655,305 Female 652,931 664,026 685,771 641,020 672,730 Total 1,299,994 1,317,315 1,359,448 1,272,522 1,328,035 Male 552,338 561,709 579,905 541,290 564,606 Female 566,562 577,080 598,368 560,408 591,859 Total 1,118,900 1,138,789 1,178,273 1,101,698 1,156,465 Male 441,656 455,609 476,069 443,672 466,660 Female 450,682 464,436 487,014 458,267 491,638 Total 892,338 920,045 963,083 901,939 958,298 Male 286,440 293,610 315,627 293,434 309,041 Female 277,777 285,821 311,716 291,550 313,052 Total 564,217 579,431 627,343 584,984 622,093 Male 4,157,932 4,219,523 4,377,412 4,122,663 4,294,473 Female 4,170,708 4,240,197 4,395,243 4,141,654 4,361,451 Grand Total 8,328,640 8,459,720 8,772,655 8,264,317 8,655,924 Source: Ministry of Education and Sports 153 Table 2.2 B: Primary Gross Intake Rate (PGI) and Net Intake Rate (PNI) by district, 2011- 2015 2011 District Central Buikwe Bukomansimbi Butambala Buvuma Gomba Kalangala Kalungu Kampala Kayunga Kiboga Kyankwanzi Luwero Lwengo Lyantonde Masaka Mityana Mpigi Mubende Mukono Nakaseke Nakasongola Rakai Sembabule Wakiso Eastern Budaka Bududa Bukedea Bukwo Bulambuli Bugiri Busia Butaleja Buyende Iganga Jinja Kaberamaido Kaliro Kamuli Kapchorwa Katakwi Kibuku Kumi Luuka Kween Mayuge Manafwa Mbale Namayingo Namutumba Ngora Pallisa Serere Sironko Soroti Tororo 2012 2013 2014 2015 PGI PNI PGI PNI PGI PNI PGI PNI PGI PNI 100 155 158 160 156 77 209 57 172 111 167 186 201 204 165 135 125 148 128 182 178 146 261 74 44 8 84 56 77 33 113 27 85 47 63 100 91 91 75 59 61 60 60 90 92 72 112 33 97 142 156 150 161 93 212 59 160 105 157 201 184 226 141 118 127 136 119 201 174 147 261 70 46 74 89 64 81 35 112 29 81 38 57 99 89 104 66 57 65 53 53 91 91 70 115 33 89 156 174 176 140 99 227 65 127 110 151 177 185 234 156 119 129 115 107 184 161 152 265 82 37 89 90 71 73 41 119 35 64 43 59 90 93 111 80 58 65 45 46 85 85 77 116 38 97 177 185 231 146 102 265 75 144 122 153 177 210 215 161 126 135 127 122 201 156 166 286 88 33 80 83 89 66 37 115 36 64 42 51 79 88 104 68 50 62 44 47 81 67 69 106 44 119 204 226 153 139 111 229 73 144 157 142 226 202 201 126 115 137 135 111 243 137 171 234 59 47 104 114 65 65 49 105 40 70 60 53 99 94 96 61 58 62 54 50 106 65 77 104 29 175 144 162 226 155 133 173 208 163 109 74 163 131 112 131 154 157 143 132 133 133 165 157 127 175 127 153 137 149 100 139 98 76 86 127 101 69 99 122 80 56 45 105 70 64 79 83 80 89 64 68 68 91 81 49 98 71 94 81 87 54 73 181 146 164 203 150 122 163 208 170 110 88 150 146 120 126 160 154 135 111 124 122 151 136 123 147 123 143 125 134 105 145 87 68 88 106 84 64 97 120 80 53 52 94 73 65 74 88 82 83 58 71 55 87 74 44 78 73 81 75 71 54 81 176 163 160 217 164 118 161 225 161 106 56 152 145 106 114 167 162 130 126 105 146 168 135 114 158 111 134 133 146 110 144 87 82 87 120 98 64 93 135 77 53 32 96 79 59 62 90 80 82 63 59 57 94 75 57 78 64 76 81 84 58 80 194 167 190 237 176 125 173 261 169 121 80 186 155 108 121 195 174 153 139 113 136 175 135 126 209 138 163 161 149 124 161 94 78 71 114 94 57 80 144 73 52 44 86 71 53 67 86 77 70 60 59 53 81 68 52 107 61 78 74 72 52 86 167 148 184 207 120 141 168 219 121 140 101 172 147 139 153 204 158 160 163 141 92 182 119 147 165 155 158 168 175 107 171 87 65 81 112 64 69 83 122 59 72 59 99 77 75 85 92 70 80 84 85 44 89 59 64 75 87 87 82 84 49 89 154 Table 2.2 B(cont’d): Primary Gross Intake Rate (PGI) and Net Intake Rate (PNI) by district, 2011 –2015 2011 PGI PNI Northern Abim 256 201 Adjumani 47 31 Agago 126 102 Alebtong 136 116 Amudat 28 24 Amolatar 159 128 Amuria 95 79 Amuru 109 84 Apac 144 122 Arua 170 144 Dokolo 142 115 Gulu 144 115 Kaabong 52 45 Kitgum 128 100 Koboko 111 91 Kole 132 114 Kotido 42 33 Lamwo 134 106 Lira 133 111 Maracha 183 159 Moroto 45 35 Moyo 42 30 Nakapiripirit 56 45 Napak 45 33 Nebbi 142 116 Nwoya 310 238 Otuke 204 170 Oyam 152 132 Pader 145 117 Yumbe 75 62 Zombo 131 111 Western Bullisa 144 118 Bundibugyo 93 77 Buhweju 110 89 Bushenyi 110 89 Hoima 93 75 Ibanda 126 103 Isingiro 113 87 Kabale 136 113 Kabarole 127 100 Kamwenge 128 98 Kanungu 124 96 Kasese 115 96 Kiruhura 114 91 Kibaale 119 94 Kiryandongo 91 74 Kisoro 136 116 Kyegegwa 157 116 Kyenjojo 102 76 Masindi 94 76 Mbarara 111 87 Mitooma 119 96 Ntungamo 117 91 Ntoroko 97 74 Rubirizi 127 103 Rukungiri 127 102 Sheema 115 94 National 118 98 Source: Ministry of Education and Sports 2012 PGI PNI 2013 PGI 262 46 115 137 28 158 91 110 144 164 135 146 49 117 108 130 39 134 134 174 44 39 50 55 141 324 172 135 129 64 134 209 30 96 116 24 127 75 81 123 139 111 116 42 94 85 110 31 106 114 149 33 27 40 43 114 261 142 119 104 53 114 216 48 125 137 33 158 84 112 138 165 115 138 51 115 110 128 42 115 140 179 37 37 40 48 151 367 172 138 131 57 135 182 31 105 119 30 130 69 84 121 144 95 115 44 93 90 112 35 94 121 160 29 26 32 38 125 302 149 124 110 48 115 131 92 94 108 93 118 109 136 122 115 115 106 105 118 101 137 158 100 99 110 115 107 90 119 119 110 115 109 76 76 90 76 95 85 113 96 87 92 87 82 94 79 116 116 78 77 87 95 83 76 97 96 93 96 142 78 91 106 86 109 98 134 111 122 113 103 102 117 90 136 141 97 79 116 109 103 73 113 105 110 113 125 67 76 91 73 88 79 114 92 96 94 88 84 97 72 117 103 80 64 96 92 85 62 92 86 94 96 PNI 2014 PGI PNI 2015 PGI PNI 219 53 132 150 21 164 86 130 150 160 125 146 49 112 114 128 38 130 142 184 39 37 41 46 157 366 163 149 148 60 142 181 34 110 123 19 131 65 93 125 137 99 119 42 91 93 104 30 100 121 160 29 26 31 37 126 279 162 143 125 49 123 91 85 155 128 22 123 119 111 129 154 111 128 107 126 130 112 42 141 124 162 47 100 40 50 129 91 128 128 157 57 114 72 54 122 105 18 100 94 77 111 133 91 104 89 100 106 94 33 111 104 145 36 69 31 38 108 72 109 111 134 48 96 137 86 115 115 90 125 107 137 110 123 125 114 105 124 97 133 157 99 88 121 114 88 82 101 104 104 117 118 72 97 98 75 103 82 117 90 95 101 96 85 99 80 115 120 124 71 101 96 67 67 82 84 88 97 96 103 105 139 78 87 86 138 103 92 125 128 90 108 108 122 89 83 111 114 139 115 98 92 108 117 109 81 86 86 119 63 73 67 116 86 72 102 109 71 86 83 105 68 67 89 95 117 93 78 75 88 87 91 155 Table 2.2 C: Primary Gross Enrolment and Primary Net Enrolment Rates by district, 2011 – 2015 2011 PGE PNE Central Buikwe Bukomansimbi Butambala Buvuma Gomba Kalangala Kalungu Kampala Kayunga Kiboga Kyankwanzi Luwero Lwengo Lyantonde Masaka Mityana Mpigi Mubende Mukono Nakaseke Nakasongola Rakai Sembabule Wakiso Eastern Budaka Bududa Bukedea Bukwo Bulambuli Bugiri Busia Butaleja Buyende Iganga Jinja Kaberamaido Kaliro Kamuli Kapchorwa Katakwi Kibuku Kumi Luuka Kween Mayuge Manafwa Mbale Namayingo Namutumba Ngora Pallisa Serere Sironko Soroti Tororo 2012 PGE PNE 2013 PGE PNE 2014 PGE PNE 2015 PGE PNE 93 113 114 125 123 60 145 61 147 91 118 136 138 120 12 112 108 105 111 128 146 114 157 77 76 99 98 104 105 48 123 50 123 71 94 116 116 103 103 93 89 85 91 110 114 98 132 63 95 113 122 154 132 54 148 64 140 91 111 146 137 138 113 104 119 107 105 143 145 119 153 78 79 98 107 124 112 45 126 53 116 73 90 125 117 121 97 88 100 87 88 121 116 103 132 65 84 127 130 179 116 73 156 76 114 91 115 127 135 147 122 101 110 85 100 130 143 120 160 89 70 115 114 160 103 60 138 64 97 76 97 112 120 132 109 88 95 71 84 112 118 106 143 75 85 131 125 198 111 78 168 82 120 90 114 125 137 149 127 98 115 88 109 138 131 117 161 89 72 116 108 172 97 62 143 71 100 71 91 105 120 133 110 84 96 70 91 118 104 97 139 75 88 138 139 103 94 87 139 78 100 103 86 137 112 123 91 84 107 85 91 155 95 106 121 61 73 124 120 86 81 72 119 66 84 83 68 117 97 105 79 72 92 69 77 132 76 90 104 51 169 127 154 240 162 123 166 169 137 116 87 157 114 121 142 134 143 142 139 138 134 146 146 123 154 140 137 130 152 119 143 145 108 127 212 142 105 141 149 117 99 75 134 95 104 114 107 125 120 117 117 116 130 123 102 133 116 121 115 133 92 117 166 129 156 227 167 115 162 172 141 129 98 158 130 119 138 136 145 139 114 137 116 143 137 100 136 136 137 133 137 114 157 130 110 127 198 146 99 137 152 122 111 84 134 110 101 114 114 125 115 97 116 99 125 114 83 120 112 117 118 119 90 129 170 131 160 218 170 113 162 179 136 119 67 161 126 108 121 135 145 132 129 112 116 145 138 111 153 127 136 146 137 122 159 147 116 132 194 149 100 141 163 120 105 59 137 109 96 105 116 129 111 112 99 103 132 116 97 136 107 120 131 121 97 135 180 133 165 228 172 112 163 190 139 124 91 162 132 107 123 134 156 134 131 122 126 148 140 108 174 132 148 146 143 123 164 154 109 130 203 150 93 135 168 121 107 80 130 113 92 106 109 131 108 111 103 107 124 116 89 152 102 126 125 123 93 138 135 107 135 177 101 103 138 141 90 119 98 136 112 115 142 126 121 134 133 126 70 143 110 110 125 130 123 130 142 94 141 116 91 106 157 88 87 115 127 78 104 85 114 97 101 120 100 105 108 116 111 61 124 90 94 107 104 106 109 118 73 116 156 Table 2.2 C(Ct’d): Primary Gross Enrolment and Primary Net Enrolment Rates by district 2011 PGE PNE Northern Abim 256 201 Adjumani 47 31 Agago 126 102 Alebtong 136 116 Amudat 28 24 Amolatar 159 128 Amuria 95 79 Amuru 109 84 Apac 144 122 Arua 170 144 Dokolo 142 115 Gulu 144 115 Kaabong 52 45 Kitgum 128 100 Koboko 111 91 Kole 132 114 Kotido 42 33 Lamwo 134 106 Lira 133 111 Maracha 183 159 Moroto 45 35 Moyo 42 30 Nakapiripirit 56 45 Napak 45 33 Nebbi 142 116 Nwoya 310 238 Otuke 204 170 Oyam 152 132 Pader 145 117 Yumbe 75 62 Zombo 131 111 Western Bulisa 144 118 Bundibugyo 93 77 Buhweju 110 89 Bushenyi 110 89 Hoima 93 75 Ibanda 126 103 Isingiro 113 87 Kabale 136 113 Kabarole 127 100 Kamwenge 128 98 Kanungu 124 96 Kasese 115 96 Kiruhura 114 91 Kibaale 119 94 Kiryandongo 91 74 Kisoro 136 116 Kyegegwa 157 116 Kyenjojo 102 76 Masindi 94 76 Mbarara 111 87 Mitooma 119 96 Ntungamo 117 91 Ntoroko 97 74 Rubirizi 127 103 Rukungiri 127 102 Sheema 115 94 National 118 98 Source: Ministry of Education and Sports 2012 PGE PNE 2013 PGE PNE 2014 PGE PNE 2015 PGE PNE 262 46 115 137 28 158 91 110 144 164 135 146 49 117 108 130 39 134 134 174 44 39 50 55 141 324 172 135 129 64 134 209 30 96 116 24 127 75 81 123 139 111 116 42 94 85 110 31 106 114 149 33 27 40 43 114 261 142 119 104 53 114 216 48 125 137 33 158 84 112 138 165 115 138 51 115 110 128 42 115 140 179 37 37 40 48 151 367 172 138 131 57 135 182 31 105 119 30 130 69 84 121 144 95 115 44 93 90 112 35 94 121 160 29 26 32 38 125 302 149 124 110 48 115 219 53 132 150 21 164 86 130 150 160 125 146 49 112 114 128 38 130 142 184 39 37 41 46 157 366 163 149 148 60 142 181 34 110 123 19 131 65 93 125 137 99 119 42 91 93 104 30 100 121 160 29 26 31 37 126 279 162 143 125 49 123 91 85 155 128 22 123 119 111 129 154 111 128 107 126 130 112 42 141 124 162 47 100 40 50 129 91 128 128 157 57 114 72 54 122 105 18 100 94 77 111 133 91 104 89 100 106 94 33 111 104 145 36 69 31 38 108 72 109 111 134 48 96 131 92 94 108 93 118 109 136 122 115 115 106 105 118 101 137 158 100 99 110 115 107 90 119 119 110 115 109 76 76 90 76 95 85 113 96 87 92 87 82 94 79 116 116 78 77 87 95 83 76 97 96 93 96 142 78 91 106 86 109 98 134 111 122 113 103 102 117 90 136 141 97 79 116 109 103 73 113 105 110 113 125 67 76 91 73 88 79 114 92 96 94 88 84 97 72 117 103 80 64 96 92 85 62 92 86 94 96 137 86 115 115 90 125 107 137 110 123 125 114 105 124 97 133 157 99 88 121 114 88 82 101 104 104 117 118 72 97 98 75 103 82 117 90 95 101 96 85 99 80 115 120 124 71 101 96 67 67 82 84 88 97 96 103 105 139 78 87 86 138 103 92 125 128 90 108 108 122 89 83 111 114 139 115 98 92 108 117 109 81 86 86 119 63 73 67 116 86 72 102 109 71 86 83 105 68 67 89 95 117 93 78 75 88 87 91 157 Table 2.2 D: District Central Buikwe Bukomansimbi Butambala Buvuma Gomba Kalangala Kalungu Kampala Kayunga Kiboga Kyankwanzi Luwero Lwengo Lyantonde Masaka Mityana Mpigi Mubende Mukono Nakaseke Nakasongola Rakai Sembabule Wakiso Pupil Teacher Ratio and Pupil Classroom Ratio by District, 2012 – 2016 2012 PTR PCR 2013 PTR PCR 2014 PTR PCR 2015 PTR PCR 2016 PTR PCR 43 51 42 43 52 30 48 29 52 33 38 48 48 43 37 38 42 53 42 46 39 44 39 30 47 60 42 56 55 28 60 38 59 44 48 52 56 47 43 40 49 50 49 44 43 60 56 37 40 53 34 50 47 29 48 26 50 31 34 43 48 40 31 33 41 45 39 40 34 43 37 26 49 68 36 82 60 26 64 34 57 43 46 55 60 46 38 38 54 58 43 41 39 61 56 36 46 52 39 59 44 27 49 30 41 28 35 44 52 34 33 39 40 45 44 50 31 41 38 26 45 66 38 77 51 29 68 41 53 35 45 50 62 43 39 39 46 54 51 46 36 59 64 39 36 53 34 36 35 29 45 28 44 27 33 37 38 36 30 33 36 39 37 39 29 39 36 27 51 37 45 123 57 25 84 42 67 42 58 49 71 51 43 47 51 61 53 49 39 70 60 40 35 55 33 41 36 31 45 25 38 27 32 38 41 36 29 31 37 35 38 43 25 39 36 26 43 73 41 54 44 31 57 34 51 37 44 46 50 36 38 37 44 42 45 46 33 55 51 36 61 48 62 42 54 55 58 71 55 43 40 74 47 53 37 64 48 71 50 48 62 47 47 70 64 61 56 63 53 56 68 75 59 73 78 61 76 74 94 70 61 53 78 71 63 49 76 72 94 51 64 80 53 68 82 79 72 70 67 66 60 85 57 47 63 43 51 51 56 68 48 36 36 74 46 49 39 68 42 72 47 40 63 51 46 63 61 58 52 55 53 49 66 75 59 68 79 59 68 72 100 70 57 51 83 73 63 57 83 71 99 69 58 82 62 65 76 90 78 72 67 73 60 84 58 46 62 43 50 50 56 64 59 39 40 68 47 47 40 65 42 74 45 39 53 61 45 53 43 48 50 52 50 52 69 83 70 71 101 101 63 68 133 66 59 53 81 70 64 56 82 72 97 74 75 77 62 63 68 76 66 68 69 63 61 80 61 50 58 43 61 48 54 59 56 34 37 63 45 44 36 64 43 67 42 38 55 60 42 60 39 43 47 49 48 47 59 108 74 80 80 86 35 76 108 99 58 58 72 101 63 77 79 67 124 133 81 93 103 87 72 75 62 64 71 66 57 83 61 54 58 44 61 47 56 63 50 37 36 60 52 48 37 62 41 72 35 43 55 58 43 58 43 44 48 52 46 50 59 83 65 70 74 81 63 69 94 66 59 49 66 82 62 53 71 67 93 51 63 72 78 64 66 70 52 65 66 59 56 75 Eastern Budaka Bududa Bugiri Bukedea Bukwo Bulambuli Busia Butaleja Buyende Iganga Jinja Kaberamaido Kaliro Kamuli Kapchorwa Katakwi Kibuku Kumi Kween Luuka Manafwa Mayuge Mbale Namayingo Namutumba Ngora Pallisa Serere Sironko Soroti Tororo 158 Table 2.2 D(Ct’d): District Northern Abim Adjumani Agago Alebtong Amolatar Amudat Amuria Amuru Apac Arua Dokolo Gulu Kaabong Kitgum Koboko Kole Kotido Lamwo Lira Maracha Moroto Moyo Nakapiripirit Napak Nebbi Nwoya Otuke Oyam Pader Yumbe Zombo Pupil Teacher Ratio and Pupil Classroom Ratio by District, 2012 – 2016 2012 PTR PCR 54 54 85 67 58 60 66 65 63 64 66 45 91 53 57 60 81 75 52 66 30 46 39 85 62 68 58 64 74 49 66 66 53 73 78 68 77 82 70 79 101 66 58 99 58 81 82 51 64 67 115 43 52 59 76 88 65 64 80 59 79 93 Western Buhweju 38 39 Bulisa 60 103 Bundibugyo 46 52 Bushenyi 35 32 Hoima 49 55 Ibanda 39 38 Isingiro 51 47 Kabale 39 44 Kabarole 51 64 Kamwenge 53 52 Kanungu 41 46 Kasese 43 59 Kibaale 52 53 Kiruhura 45 45 Kiryandongo 55 70 Kisoro 50 45 Kyegegwa 56 53 Kyenjojo 62 62 Masindi 46 57 Mbarara 34 34 Mitooma 40 39 Ntoroko 38 49 Ntungamo 43 39 Rubirizi 42 44 Rukungiri 33 35 Sheema 39 38 National 48 57 Source: Ministry of Education and Sports 2013 PTR PCR 2014 PTR PCR 2015 PTR PCR 2016 PTR PCR 51 55 84 63 50 63 62 64 63 65 67 44 92 55 59 57 82 75 51 69 27 47 38 76 61 68 59 64 79 49 62 78 54 73 81 66 97 78 66 83 101 66 58 108 64 89 74 80 68 70 131 35 50 54 72 86 74 74 77 67 85 89 43 59 80 60 53 51 62 62 67 62 59 44 95 52 55 53 74 75 53 68 24 45 29 70 64 56 64 69 82 52 60 74 61 78 99 66 59 81 72 89 103 64 59 140 69 89 108 68 67 94 171 42 50 55 72 98 67 94 68 67 85 97 48 69 82 63 43 57 56 64 63 62 59 43 74 50 60 54 79 62 51 67 23 39 31 66 62 54 55 59 80 51 59 83 74 75 88 70 68 73 75 96 101 75 60 98 57 120 115 94 62 78 222 40 50 55 159 104 62 102 86 73 86 94 49 59 83 60 47 61 56 58 70 62 64 44 92 51 60 49 75 66 51 70 24 38 31 65 64 53 56 64 82 54 60 77 65 78 78 63 68 67 69 87 97 69 57 124 52 86 84 72 59 73 145 40 44 54 60 80 62 60 77 77 88 84 36 61 43 33 42 34 44 37 48 48 39 41 43 41 52 48 50 53 44 32 35 36 42 38 32 37 46 38 64 54 33 53 35 44 42 61 50 41 61 49 44 70 48 52 58 57 34 37 46 41 45 35 38 57 40 59 43 35 39 37 44 38 48 49 33 40 42 44 55 48 48 52 40 36 34 38 40 38 36 36 46 39 90 55 37 46 39 46 47 62 51 38 60 46 50 70 48 50 58 57 37 36 53 42 45 34 49 58 36 52 40 33 37 33 35 35 40 41 33 37 37 39 53 46 42 52 36 33 34 32 38 37 30 28 43 44 87 71 37 47 58 43 47 66 56 46 60 48 56 96 55 58 78 63 50 40 42 50 45 39 34 63 36 51 40 33 36 34 37 36 40 42 34 37 35 37 49 46 43 46 35 33 34 34 37 39 28 29 43 37 73 52 34 45 39 38 46 50 47 37 52 41 38 63 48 48 51 47 36 37 34 41 43 32 28 54 159 Table 2.2 E: Secondary school enrolment by class, 2012- 2016 CLASS Sex S1 S2 S3 S4 S5 S6 Total 2012 2013 2014 2015 2016 Male 164,920 179,013 180,634 166,922 183,195 Female 152,366 167,524 168,067 159,669 175,529 Total 317,286 346,537 348,701 326,591 358,724 Male 154,798 158,539 169,257 154,799 177,788 Female 141,499 146,962 157,759 144,463 168,262 Total 296,297 305,501 327,016 299,262 346,050 Male 136,022 149,995 150,346 145,404 164,684 Female 122,981 134,924 138,873 134,447 152,645 Total 259,003 284,919 289,219 279,851 317,329 Male 116,727 133,314 142,623 126,314 144,783 Female 100,027 116,960 125,630 115,934 132,027 Total 216,754 250,274 268,253 242,248 276,810 Male 53,230 51,769 46,193 41,899 48,516 Female 34,319 33,991 30,456 28,418 32,737 Total 87,549 85,760 76,649 70,317 81,253 Male 45,650 54,582 49,338 39,825 46,440 Female 28,968 35,166 32,074 25,914 30,671 Total 74,618 89,448 81,412 65,739 77,111 Male 671,347 727,212 738,391 675,163 765,406 Female 580,160 635,527 652,859 608,845 691,871 1,251,507 1,362,439 1,391,250 1,284,008 1,457,277 Grand Total Source: Ministry of Education and Sports 160 Table 2.2.F: Secondary education accessibility indicators by district, 2014-2015 2014 2015 GIR NIR GER NER GIR NIR GER NER 41 38 105 24 37 17 66 42 46 41 29 65 41 50 73 49 63 34 45 40 63 47 35 37 11 6 36 1 4 1 14 16 11 6 4 16 9 6 27 14 13 4 13 7 12 11 9 14 31 28 89 10 25 7 52 30 35 30 16 52 26 34 56 39 50 24 41 32 41 31 23 30 29 26 84 9 23 6 48 27 31 28 15 48 25 30 52 36 46 21 37 29 37 29 21 27 43 27 101 9 25 20 61 38 33 39 21 59 37 43 41 32 53 31 34 35 41 38 26 35 13 11 23 0 2 1 11 13 7 8 4 16 8 3 1 7 12 4 8 8 8 10 5 12 31 23 92 6 19 16 46 25 27 29 14 46 28 28 35 24 41 22 27 25 30 29 19 26 28 22 86 5 18 12 43 23 25 27 13 42 26 25 32 22 38 20 25 23 28 27 16 23 1 9 3 7 6 16 18 8 4 8 16 14 6 6 11 15 3 15 3 7 9 6 9 20 2 10 6 6 3 7 16 9 15 53 25 27 27 57 50 42 32 29 56 49 25 54 37 60 18 48 22 42 41 37 31 73 17 49 40 37 24 32 50 43 13 47 21 24 23 52 47 36 28 26 51 44 22 48 34 54 16 43 19 39 38 33 29 64 15 44 34 34 21 29 43 37 25 54 27 26 30 56 40 45 32 28 57 62 22 39 39 46 19 43 24 47 50 50 13 61 27 47 47 39 18 33 44 44 1 8 2 5 5 10 6 4 3 6 10 13 1 3 10 8 1 7 2 8 8 5 2 12 1 5 7 5 1 4 5 5 18 39 18 19 21 42 29 32 24 19 46 48 15 29 30 44 12 31 16 38 34 35 10 50 17 37 37 28 13 26 35 34 15 34 16 17 18 40 25 27 22 18 43 43 13 26 28 40 10 28 14 34 32 31 9 44 16 34 32 25 11 24 30 29 Central Buikwe Bukomansimbi Butambala Buvuma Gomba Kalangala Kalungu Kampala Kayunga Kiboga Kyankwanzi Luwero Lwengo Lyantonde Masaka Mityana Mpigi Mubende Mukono Nakaseke Nakasongola Rakai Sembabule Wakiso Eastern Amuria 23 Budaka 79 Bududa 38 Bugiri 40 Bukedea 43 Bukwo 84 Bulambuli 103 Busia 65 Butaleja 51 Buyende 49 Iganga 70 Jinja 65 Kaberamaido 40 Kaliro 80 Kamuli 54 Kapchorwa 77 Katakwi 31 Kibuku 69 Kumi 33 Kween 61 Luuka 65 Manafwa 58 Mayuge 50 Mbale 90 Namayingo 34 Namutumba 74 Ngora 62 Pallisa 57 Serere 43 Sironko 45 Soroti 75 Tororo 64 Source: Ministry of Education and Sports 161 Table 2.2.F (Ct’d): 2015 Secondary education accessibility indicators by district, 20142014 2015 GIR NIR GER NER GIR NIR GER NER 77 3 3 13 17 9 9 13 20 18 29 24 17 32 25 46 60 35 43 14 53 28 15 30 64 39 14 22 18 23 7 0 0 0 1 1 0 0 2 1 4 1 0 4 1 6 7 4 4 0 5 6 1 2 6 7 0 1 2 1 44 1 2 8 9 5 5 7 11 11 19 15 10 21 16 30 36 18 25 7 37 18 8 19 36 25 10 11 11 13 41 1 2 6 8 4 4 6 10 10 17 13 9 19 14 26 33 16 20 7 33 16 7 17 29 23 8 10 9 11 16 1 9 12 19 8 11 4 21 8 17 16 9 85 12 27 54 33 20 17 27 23 12 16 14 30 7 21 29 16 1 0 0 0 1 1 1 0 1 0 3 1 2 9 0 3 4 5 4 1 2 3 1 1 0 1 0 2 3 1 13 0 5 9 13 4 7 8 13 7 13 12 6 16 8 20 39 21 16 11 18 14 22 9 10 17 5 13 9 11 12 0 4 8 9 10 5 7 11 6 12 10 6 14 7 17 34 18 14 10 16 12 18 8 9 15 4 12 8 9 2 14 7 3 9 8 3 4 11 10 4 8 5 15 5 2 6 6 3 3 4 8 4 3 7 1 8 20 51 41 20 40 35 16 25 38 41 29 36 41 51 17 14 26 43 23 27 23 22 22 20 22 12 30 18 46 35 17 36 32 14 22 33 36 24 32 36 45 16 12 23 37 19 23 20 20 20 18 20 11 26 24 57 44 20 38 47 21 18 37 60 36 26 50 73 11 27 29 38 24 39 30 84 19 26 40 29 33 1 13 6 2 6 6 2 2 7 9 4 2 7 15 0 1 6 6 1 5 4 3 1 3 5 2 6 16 47 32 13 31 32 15 14 30 44 28 17 38 53 6 15 23 28 17 27 20 22 13 17 26 16 25 12 42 28 11 28 28 13 11 26 39 24 15 33 47 5 12 20 26 14 24 18 20 11 16 23 15 22 Northern Abim Amudat Kaabong Kotido Moroto Nakapiripirit Napak Adjumani Agago Alebtong Amolatar Amuru Apac Arua Dokolo Gulu Kitgum Koboko Kole Lamwo Lira Maracha Moyo Nebbi Nwoya Otuke Oyam Pader Yumbe Zombo Western Buhweju Bushenyi Ibanda Isingiro Kabale Kanungu Kiruhura Kisoro Mbarara Mitooma Ntungamo Rubirizi Rukungiri Sheema Bulisa Bundibugyo Hoima Kabarole Kamwenge Kasese Kibaale Kiryandongo Kyegegwa Kyenjojo Masindi Ntoroko 29 60 56 30 52 51 21 38 50 58 43 61 56 64 32 28 38 58 37 36 36 37 41 32 35 25 National 43 Source: Ministry of Education and Sports 162 Table 2.2 G: Student Teacher (STR) and Student Classroom Ratio (SCR), 2012 - 2016 2012 STR SCR Central Buikwe Bukomansimbi Butambala Buvuma Gomba Kalangala Kalungu Kampala Kayunga Kiboga Kyankwanzi Luwero Lwengo Lyantonde Masaka Mityana Mpigi Mubende Mukono Nakaseke Nakasongola Rakai Sembabule Wakiso Eastern Amuria Budaka Bududa Bugiri Bukedea Bukwo Bulambuli Busia Butaleja Buyende Iganga Jinja Kaberamaido Kaliro Kamuli Kapchorwa Katakwi Kibuku Kumi Kween Luuka Manafwa Mayuge Mbale Namayingo Namutumba Ngora Pallisa Serere Sironko Soroti Tororo 2013 STR SCR 2014 STR SCR 2015 STR SCR 2016 STR SCR 27 25 28 11 20 13 49 29 30 31 18 27 32 23 29 38 22 29 34 21 27 38 30 25 47 37 55 19 39 39 43 52 41 53 30 48 58 52 47 59 39 53 43 46 49 55 42 46 22 29 19 12 18 12 21 21 21 18 15 21 22 20 18 20 15 24 20 18 23 29 18 19 51 53 55 25 46 58 14 57 62 62 37 57 89 53 48 57 47 57 58 54 52 60 53 49 20 29 18 11 17 12 21 19 19 18 15 20 24 20 19 20 16 24 18 17 21 26 19 20 51 55 72 20 33 40 41 49 48 50 37 44 51 50 33 53 39 47 43 47 46 47 50 52 21 28 20 11 17 13 20 21 25 21 20 20 23 19 19 21 17 25 23 17 22 27 21 20 54 50 55 53 53 35 47 59 52 56 47 50 49 77 49 67 39 51 57 36 43 51 53 51 22 30 23 16 18 9 20 19 21 19 15 21 22 20 19 19 15 20 22 16 21 29 20 19 55 49 43 49 40 29 45 51 50 50 37 55 56 52 40 48 41 48 55 34 35 58 46 50 35 37 43 36 30 28 57 43 36 44 36 34 32 34 33 32 32 29 32 28 36 37 44 47 31 47 29 32 35 34 29 34 55 62 71 51 60 57 62 70 59 55 61 57 61 57 54 56 57 70 62 57 67 69 63 74 47 69 65 45 67 49 70 58 25 28 33 26 28 29 31 28 26 31 26 27 24 37 28 27 27 20 23 26 26 29 28 25 35 35 26 26 24 21 25 26 68 87 66 60 65 61 107 74 92 71 69 64 56 85 73 71 62 67 69 63 82 73 74 74 99 89 74 65 86 56 80 70 23 29 32 28 23 29 32 30 25 28 28 25 25 36 28 26 25 23 26 22 24 29 30 28 33 34 26 28 26 23 26 26 55 72 47 54 61 56 74 55 57 57 65 58 46 64 61 77 52 73 53 54 75 59 63 83 54 70 50 49 70 49 74 61 19 30 39 28 27 25 34 30 32 29 30 25 26 45 29 23 22 25 29 26 26 30 32 28 43 36 24 30 23 22 24 27 54 74 56 63 66 55 63 54 63 87 69 54 52 83 60 48 42 61 60 112 56 45 76 79 72 76 62 75 60 61 66 57 18 35 47 27 26 27 31 31 29 27 30 25 21 47 31 24 23 29 29 24 29 26 31 28 41 39 22 31 24 23 25 27 39 95 65 57 58 62 50 63 49 60 53 54 43 78 66 48 41 60 63 56 65 66 94 132 54 75 46 59 57 66 75 63 163 Table 2.2 G (Ct’d): Student Teacher (STR) and Student Classroom Ratio (SCR) 2012 STR SCR Northern Abim Adjumani Agago Alebtong Amolatar Amudat Amuru Apac Arua Dokolo Gulu Kaabong Kitgum Koboko Kole Kotido Lamwo Lira Maracha Moroto Moyo Nakapiripirit Napak Nebbi Nwoya Otuke Oyam Pader Yumbe Zombo Western Buhweju Bulisa Bundibugyo Bushenyi Hoima Ibanda Isingiro Kabale Kabarole Kamwenge Kanungu Kasese Kibaale Kiruhura Kiryandongo Kisoro Kyegegwa Kyenjojo Masindi Mbarara Mitooma Ntoroko Ntungamo Rubirizi Rukungiri Sheema 2013 STR SCR 2014 STR SCR 2015 STR SCR 2016 STR SCR 44 43 39 19 19 14 30 30 22 28 29 30 41 21 19 88 28 26 22 23 20 43 18 29 29 23 27 22 36 24 59 51 53 38 40 25 51 45 42 50 46 47 42 42 39 72 63 51 32 38 38 33 29 43 38 37 43 35 63 32 30 21 28 18 20 15 21 22 17 21 19 27 32 17 19 37 37 23 16 19 21 25 19 24 20 20 22 17 23 19 63 40 62 69 64 29 48 44 46 59 43 49 76 42 51 108 61 69 38 46 42 45 51 72 39 60 47 39 58 34 28 20 28 17 20 17 18 16 17 20 19 30 28 17 22 39 37 23 17 22 20 27 20 21 17 17 19 16 23 20 51 40 58 54 53 28 32 31 41 40 43 35 54 44 56 98 58 65 33 52 35 41 51 40 32 40 37 43 55 37 25 22 19 18 19 3 19 15 17 19 19 28 32 18 21 43 17 22 18 19 19 26 22 22 21 19 15 16 23 25 51 35 50 41 40 14 60 28 39 43 39 35 76 42 45 104 40 47 34 40 59 37 47 49 37 43 41 42 46 51 36 19 22 14 18 14 18 17 16 18 18 32 26 16 18 42 21 23 17 20 19 34 24 22 17 20 13 17 22 21 110 34 46 44 33 36 34 36 40 77 37 32 62 35 49 117 38 51 36 52 85 145 45 50 30 57 33 42 58 40 26 34 35 27 36 22 31 28 39 24 22 29 30 24 25 31 29 31 39 24 33 69 26 25 37 30 37 58 41 46 59 36 40 44 60 39 42 47 42 42 44 47 45 56 52 41 48 98 52 46 43 49 13 24 23 20 25 19 17 19 27 22 21 19 20 19 23 21 19 24 19 25 19 19 21 19 24 20 41 60 63 54 63 53 42 31 61 51 41 54 54 48 49 54 47 69 57 50 64 76 54 52 53 48 12 20 26 19 26 17 17 19 27 20 21 18 20 17 26 20 17 22 22 18 19 31 20 18 23 20 29 64 52 46 56 42 44 40 52 51 53 46 48 36 51 37 35 58 48 52 43 59 47 36 44 45 11 22 27 16 26 18 16 18 24 18 19 18 21 16 20 19 18 21 23 18 19 21 20 18 23 18 45 62 55 40 57 51 40 40 45 45 41 47 62 39 51 39 41 51 47 43 44 44 44 43 43 48 11 17 29 16 24 17 16 18 24 18 20 18 20 17 19 17 18 19 22 19 20 20 19 16 21 20 29 37 84 40 53 41 41 56 55 58 41 41 41 34 50 33 37 51 47 42 49 38 32 46 42 45 Source: Ministry of Education and Sports 164 2.3 Labour Table 2.3 A: Selected Labour Market Indicators for Employed Persons Aged 14-64 years, 2012/13 Indicator category Male Female Total Size of the working force (000’s) 6,827 7,069 13,896 Proportion in subsistence agricultural production 36.9 49.4 43.3 Size of the labour force (000’s) 4,693 4,030 8,724 Size of the employed force (000’s) 4,310 3,576 7,886 8.0 11.0 9.3 Labour Force Participation Rate (LFPR) 59.7 46.4 52.8 Employment – to – Population Ratio (EPR) 54.9 41.3 47.8 Unemployment rate (strict definition) 8.0 11.0 9.4 Urban 6.2 9.9 8.0 Rural 8.8 11.5 10.0 Unemployment rate (relaxed definition) 9.6 16.9 13.1 Urban 10.2 16.1 13.0 Rural 8.2 18.3 13.2 9.5 8.2 8.9 Employed Population Proportion of the employed force in school ( percent) Activity Rates Underemployment rates Time related Skills related 6.8 4.0 5.6 Income related 11.7 14.3 12.9 Marginally attached to labour force e.g. discouraged workers Status in employment of the employed force 2.3 4.2 3.5 Self employed 45.6 60.9 52.6 Paid employee 54.4 39.1 47.4 Agriculture, forestry and fishing 33.9 33.7 33.8 Sale, maintenance, repair of vehicles and personal goods 18.7 27.4 22.7 Manufacturing 13.3 18.0 15.4 Education 4.8 4.7 4.7 Construction 8.2 0.2 4.6 Other service activities6 4.5 4.3 4.4 Transport storage and communications 7.4 0.4 4.2 Hotels, bars and restaurants 1.1 5.4 3.0 Others 8.2 6.1 7.2 Elementary occupation 36.8 40.3 38.4 Service workers 20.3 34.3 26.6 Craft and related workers 16.3 11.1 13.9 Agricultural and fishery workers 10.0 6.9 8.6 Technicians and associate professionals 5.6 4.8 5.3 Plant and machine operators 7.0 0.4 4.0 Professionals 2.2 1.2 1.8 Others 1.8 1.1 1.5 100 100 100 Industry of Employment (ISIC Rev4) Occupation (ISCO 08) Total Source: Uganda National Household Survey 2012/13, UBOS 6 Activities of religious organizations repair of computers and communication equipment, computers and peripheral equipment, communication equipment, personal and household goods, washing and (dry-) cleaning of textile and fur products, hairdressing and other beauty treatment, etc. 165 Table 2.3 B: Education Level Attained for Employed Persons, 14-64 years, 2012/13 Male Female Total 62.7 74.6 68.1 No formal schooling 8.5 22.1 14.6 Primary 54.3 52.5 53.5 Secondary 23.5 15.4 19.8 20.9 14.2 17.9 Primary or below Incomplete Secondary Complete S6 2.5 1.1 1.9 11.9 8.1 10.2 Post primary specialised training 5.3 3.5 4.5 Post-secondary specialised training 4.2 3.1 3.7 Degree and above 2.5 1.5 2.1 Specialised training Not stated Total 1.9 1.9 1.9 100 100 100 Source: Uganda National Household Survey 2012/13, UBOS Table 2.3 C: Share of Females in Employment by Industry and Occupation, 2012/13 2012/13 Industry (ISIC REV4) 45.4 Agriculture, forestry and fishing 45.2 Wholesale and retail trade; repair of motor vehicles and motorcycles 54.9 Manufacturing 52.9 Education 44.7 Construction Transport storage and communications Construction 1.9 43.9 4.4 Hotels ,restaurants and bars 80.1 Others 40.2 Occupation (ISCO-08) 45.4 Elementary occupations 47.6 Service workers 58.3 Crafts and related workers 36.0 Agricultural and fisheries workers 36.4 Technicians and associate professionals 41.3 Plant and machine operators 4.1 Professionals 31.7 Others 34.7 Source: Uganda National Household Surveys 2012/13, UBOS 166 Table 2.3 D: Selected Urban Labour Force Survey 2015 Indicators Indicator Size of the population (‘000) Total population Working age population (14-64 years) Youth population (18-30 years) Child population (5-17 years) Female Kampala Peri- Total 1,492.5 932.2 454.0 393.1 1,391.1 915.6 479.2 448.2 City 1,765.1 1,082.0 548.8 1,765.1 urban 1,391.1 915.6 479.2 1,391.1 3,156.3 1,997.6 1,029.0 841.3 753.5 739.5 715.4 689.8 637.3 602.9 666.1 614.7 599.8 777.1 762.1 718.5 1,443.2 1,376.8 1,318.3 Labour Force Participation Rate (LFPR) Employment to Population Ratio (EPR) 80.8 76.7 64.7 56.6 72.7 65.5 71.8 66.4 72.3 66.0 Quality of the labour force Proportion of the labour force with at least secondary 76.0 65.4 72.3 69.6 70.9 education or higher Specialization and skill of the Labour Force None Trade or technical skill and an area of specialization Trade or technical skill only Specialization only 41.0 15.5 28.3 15.2 39.6 11.8 33.7 14.9 43.8 12.1 27.8 16.3 37.4 15.2 33.5 14.0 40.3 13.8 30.9 15.1 Status in employment ( percent) (a) Employees (b) Employers (c) Own-account worker (d) Contributing family workers (e) Others7 53.3 12.0 30.4 3.9 0.4 44.1 8.3 41.3 5.9 0.4 51.1 8.9 37.2 2.8 0.1 47.5 11.5 33.8 6.5 0.7 49.1 10.3 35.4 4.8 0.4 Industry of the main job ( percent) Sales, maintenance and repair (trade) Manufacturing Transport and storage Activities of households as employers Construction Other service activities8 Agriculture, forestry and fishing Accommodation and food service activities Education Human health and social work Others 26.7 9.8 14.6 2.8 11.7 4.2 6.1 2.7 4.3 2.1 15.1 37.2 7.4 0.3 11.2 0.2 8.8 5.9 9.3 7.4 3.8 8.7 34.9 7.8 7.3 6.0 5.0 7.0 1.8 8.0 5.8 2.8 13.8 28.7 9.4 8.7 7.1 7.6 5.7 9.5 3.8 5.7 3.0 10.8 31.5 8.7 8.0 6.6 6.4 6.3 6.0 5.7 5.7 2.9 12.2 Size of the Labour Force Labour force (‘000) Working population (‘000) Employed population (‘000) Male Total 100 Source: Uganda National Household Surveys 2012/13, UBOS 100 100 100 100 7 Others include Members of producer cooperatives, volunteers and unpaid trainee workers 8 Includes: Activities of professional membership organizations, activities of religious organizations, repair of computers and peripheral equipment, repair of communication equipment, repair of consumer electronics, repair of household appliances and home and garden equipment, repair of footwear and leather goods, repair of other personal and household goods, washing and (dry-) cleaning of textile and fur products, hairdressing and other beauty treatment 167 Table 2.3 D: Selected Urban Labour Force Survey 2015 Indicators (Cont’d) Kampala Peri- City urban 61.8 49.9 40.2 44.6 19.6 6.4 13.0 14.1 13.6 16.1 0.7 8.4 9.6 9.0 Professionals 8.6 8.7 8.6 8.7 8.7 Elementary occupations 9.4 6.4 6.7 9.1 8.0 Technicians and associate professionals 7.6 5.2 7.1 6.0 6.5 Skilled agricultural, forestry and fishery workers 3.5 4.9 1.0 6.9 4.2 Managers 3.3 2.6 2.3 3.6 3.0 Clerical support workers 1.8 3.2 3.1 1.9 2.5 Total 100 100 100 100 100 53.3 49.9 52.1 51.5 51.8 9.3 20.1 16.0 14.6 15.3 71.7 62.8 66.1 68.9 67.6 400 154 300 300 300 workers to total employment 34.5 47.3 40.0 40.7 40.4 Share of wage employment in non-agricultural employment 54.0 46.0 51.0 49.6 50.3 Unionised or in similar association ( percent) – paid employment 15.0 9.6 12.9 12.7 12.8 Unemployment rate (working age 14-64 years) 5.0 12.6 10.0 7.5 8.7 Youth unemployment rate (18-30 years) 7.8 17.5 14.4 11.4 12.7 Time related labour under-utilisation 8.0 11.9 9.0 10.5 9.8 10.5 15.3 13.4 12.8 13.0 2.5 9.5 5.9 6.5 6.2 6.6 17.6 13.1 11.9 12.4 12.9 24.5 19.2 19.1 19.1 Indicator Male Female Service and sales workers 30.0 Craft and related trades workers Plant and machine operators, and assemblers Total Occupation of the main job ( percent) Hours of work Average actual hours of work per week Average hours per week spent on non-economic activities Proportion of employed persons working for excessive hours a week (more than 48 hours) Monthly earnings (Ugx ‘000) Median monthly earnings (Paid employment) Selected Decent Work Indicators Proportion of own-account workers and contributing family Labour underutilisation Combined rate of unemployment and time-related underemployment Potential labour force (marginally attached to the labour force) Combined rate of unemployment and potential labour force Composite labour underutilization Source: UBOS 168 Table 2.3 D: Selected Urban Labour Force Survey 2015 Indicators (Cont’d) Kampala Peri- City urban 32.5 37.4 27.1 31.8 50.4 28.9 32.0 38.9 35.7 the labour force) 19.2 38.6 30.6 34.1 32.5 Total 100 100 100 100 100 17.7 14.8 16.3 16.5 16.4 32.9 68.3 50.6 45.2 47.8 Indicator Male Female Unemployment rate 30.4 Time related labour under-utilisation Total Components of labour underutilisation Potential labour force (marginally attached to Additional measures for monitoring labour market performance Skills-related inadequate employment Wage-related inadequate employment rates (paid employment) Proportion of working population in informal employment ( percent) 84.2 88.6 85.8 86.6 86.2 16.1 32.0 25.4 23.8 24.6 7.2 27.4 18.8 18.4 18.6 33.8 39.8 37.1 34.2 35.5 Trade 54.0 59.0 61.2 50.3 55.5 Other service activities 8.0 13.3 11.4 8.0 9.6 Manufacturing 10.4 6.7 7.2 11.3 9.3 Agriculture 6.1 8.2 2.7 10.4 6.7 Transport and storage 7.9 1.1 4.7 6.9 5.8 Hotels , bars and restaurants 3.8 6.2 5.4 3.7 4.5 Others 9.8 5.4 7.4 9.5 8.5 Total 100 100 100 100 100 Proportion of the working age population that was not economically active Population aged 14-30 Neither in Employment nor Education Training (NEET) Household Enterprises Proportion of households with a household enterprise Industry of household enterprise Source: UBOS 169 Table 2.3 E: Selected Labour Indicators on Children, 2011/12 Indicator Category Male Female Urban Rural Total 6,191.1 6,168.5 1,655.2 10,704.4 12,354.1 0.4 0.2 0.3 0.3 0.3 4,919 5,013 1,344 8,588 9,932 88.1 89.7 90.2 88.7 88.9 6.3 6.2 5.8 6.3 6.2 Children aged 5-17 at work (000s) 2,249 2,160 258 4,152 4,409 Total children working aged 6-17 (000s) 2,213 2,127 255 4,086 4,341 5.9 4.9 4.8 5.5 5.4 In school only 54.4 56.5 77.9 52.0 55.4 In school and work 33.7 33.1 12.4 36.7 33.4 6.0 5.4 5.0 5.8 5.7 62.8 67.8 58.1 66.4 65.3 Children population aged 5-17 years (000’s) 10-17 years who are Household Heads (percent) Education characteristics Total children 6-17 in school (000’s) 6-17 Attending school (percent) Mean age at first primary school attendance (years) Working Children Activities of children 6-17 years (percent) Work only Neither in school nor work Proportion of Children age 5-17 involved in household chores Sector of employment (percent) Primary 93.2 93.8 60.8 95.0 93.0 Production 3.0 1.5 8.4 1.9 2.3 Services 4.7 4.8 30.8 3.1 4.7 Self employed 14.7 13.1 14.0 13.9 13.9 Contributing family workers 78.6 83.3 63.2 82.0 80.9 6.7 3.6 22.7 4.1 5.2 Status in employment (percent) Paid employment Occupation (percent) Agricultural and fishery workers 88.4 91.6 58.8 91.9 90.0 Elementary occupations 6.3 2.8 10.2 4.2 4.6 Service workers 2.2 3.9 21.7 1.9 3.0 Craft and related worker and others 3.1 1.7 9.3 2.0 2.4 5 -11 in economic activity 734.1 715.7 60.7 1,389.2 1,449.8 12 – 13 in economic activity excluding those in light Involvement in child labour (‘000s) 128.6 123.6 17.5 234.7 252.2 14-17 work in hazardous work 93.2 73.9 48.6 118.5 167.2 14-17 working excessive hours 52.0 29.8 6.3 75.4 81.8 14-17 working conditions 38.0 20.3 12.1 46.2 58.3 14-17 Total 183.3 124.0 67.1 240.2 307.3 1,045.9 963.4 145.3 1,864.0 2,009.3 Child labour as percentage of working children 46.5 35.3 56.4 44.9 45.6 Child labour as percentage of all children 16.9 15.6 8.8 17.4 16.3 293.3 213.9 88.4 418.8 507.2 28.0 22.2 60.9 22.5 25.2 Total child labour (‘000s) Total hazardous Work (‘000s) Hazardous child labour as percentage of child labour Source: National Labour Force and Child Activities Survey 2011/2012, UBOS 170 Table 2.3.F: Selected Working Youth (18-30) Indicators, 2011/12-2012/13 2011/12 Sex Indicator Category Residence Total 2012/13 Male Female Urban Rural 15,456 2,913 2,173 15,883 3,382 2,272 4,915 1,364 926 26,425 4,931 3,518 31,340 6,296 4,444 34,092 6,424 5,544 Activity Rates Labour Force Participation Rate (LFPR) Employment population ratio (EPR) Unemployment rate 74.6 71.5 4.0 67.2 62.7 6.4 67.7 59.4 12.3 71.2 68.8 3.4 70.6 66.8 5.2 86.3 83.4 3.3 Under employment a) Time related b) Skills related c) Income related 12.7 4.0 11.0 12.8 3.5 8.2 7.0 10.0 12.8 14.1 2.2 8.8 12.8 3.7 9.6 9.2 5.0 8.4 Average hours of work (per week) Median wages (in 000's per month) 46.3 189 41.4 140 61.4 240 39.7 135 43.9 163 43.4 120 Activity status In employment only In school only In both schooling and employment Neither attending school nor 60.6 17.7 11.4 10.4 58.5 12.7 4.5 24.3 54.4 19.4 5.0 21.2 60.9 13.8 8.4 16.9 59.5 15.0 7.7 17.8 73.5 4.7 9.9 11.9 30.4 52.5 17.0 17.6 61.5 20.9 46.8 46.4 6.7 18.5 59.6 22.0 23.9 57.1 19.0 24.8 50.0 25.2 Agriculture, forestry and fishing percent) Production Services 65.9 9.7 24.4 77.0 3.9 19.1 20.3 15.2 64.5 80.5 5.3 14.1 71.4 6.8 21.7 66.2 8.8 25.0 Occupation of main job Agricultural and fisheries Service workers Elementary occupation Craft and related workers Technicians and Associates Plant and machine operators Professionals Others Total 51.7 12.3 12.3 11.2 4.1 6.4 1.3 0.9 100 62.3 19.4 6.9 3.9 4.4 0.5 1.1 1.5 100 10.3 42.6 10.8 14.1 6.3 8.5 3.8 3.5 100 68.2 9.5 9.3 5.9 3.8 2.2 0.6 0.5 100 57.1 15.9 9.6 7.5 4.3 3.4 1.2 1.1 100 58.2 13.4 14.4 6.5 3.1 2.7 1.0 0.7 100 Percent in informal employment 94.7 95.3 92.1 97.2 95.0 95.1 Population Size (‘000s) Youth Population (18-30 yrs. in 000's) Youth in Labour force (000's) in employment Status in employment of main job Wage employment Self employed Contributing family helpers Sector of employment of main job ( Source: National Labour Force and Child Activities Survey (NLF & CAS) 2011/2012 and UNHS 2012/13, UBOS Note: The statistics in this table are presented based on the resolution concerning statistics of the economically active population, employment, unemployment and underemployment adopted by the 13th International Conference of Labour Statisticians (1982) and related guidelines. 171 Table 2.3 G: Percentage distribution of jobs advertised by occupation, 2011 – 2015 Occupations (ISCO 88 and 08) Legislators, senior officials, managers, and administrators Specialized managers Others 2011 0.3 0.1 0.2 2012 0.3 0.2 0.1 2013 0.5 0.2 0.3 2014 3.1 1.5 1.6 2015 17.6 16.0 1.6 Professionals (graduates) Social science and related professionals Secondary education teaching professionals Accountants, business administrators, and business Health professionals e.g. medical doctors, dentist, pharmacists professionals Mathematicians, statisticians Architects, engineers, cartographers, surveyors, town planners Biologists, zoologists, botanists, bacteriologists System designers, computer programmers College, university, and higher education teaching professionals Education methods specialists Other professionals 54.7 15.0 2.0 14.6 4.3 2.4 4.7 2.6 1.9 2.2 49.2 11.3 10.5 8.8 3.9 2.4 1.8 1.7 1.3 1.1 45.3 10.2 0.2 10.0 4.0 2.2 4.8 2.4 2.3 0.9 52.7 9.5 6.2 13.8 5.6 1.2 3.7 1.9 1.4 2.0 5.0 6.4 8.3 7.3 53.2 1.9 3.3 15.6 5.8 0.9 1.8 1.5 0.8 1.9 16.5 3.2 Associate professionals (diploma and certificate holders) Primary education teaching associate professionals Nurses and midwives Post-primary education teaching associate professionals Finance and sales associate professional Physical science and engineering technicians Biological and other life science technicians Social work associate professionals Other teaching associate professionals Medical assistants Other associate professional 33.7 7.8 5.9 39.0 24.0 3.4 25.4 0.5 13.6 13.3 2.8 4.8 5.2 2.3 1.2 1.5 2.2 0.3 7.3 2.9 1.8 0.7 0.7 0.2 0.0 5.3 2.1 1.2 2.1 1.1 0.2 1.4 3.2 29.0 1.1 9.1 5.0 2.4 2.0 0.9 0.8 1.3 0.8 5.6 Clerks Secretaries and keyboard operating clerks Numerical clerks other clerks 4.5 2.4 0.0 2.1 3.8 2.4 0.0 1.4 1.5 0.6 0.0 0.9 4.3 3.4 0.2 0.7 9.9 0.9 8.4 0.6 Plant, machine operators and assemblers Motor vehicle drivers Others 2.5 2.4 0.1 2.4 2.0 0.4 3.2 3.0 0.2 4.3 3.5 0.8 1.8 1.3 0.5 Elementary occupations Messengers, watchers and security worker Others 2.5 2.3 0.2 1.6 1.4 0.2 1.5 1.4 0.1 3.1 3.0 0.1 1.0 Others Protective service workers, policemen, prison warders Others 1.9 3.9 22.6 21.2 1.4 3.7 1.7 2.0 3.2 Total Number 1.2 0.5 2 0.5 0.3 1.2 100 100 100 100 100 11,978 17,106 14,264 11,323 12,687 Source: New vision and The Monitor newspapers, UBOS NB: A vacancy is entered only once even if it appears more than once in the same newspaper or different newspaper Note: The number for 2014 excludes 106,007 jobs advertisements and recruited for the National Population and Housing Census 2014 as Parish/Ward Supervisors and Enumerators 172 Table 2.3 H: Percentage Distribution of Jobs Advertised by Major Industrial Divisions, 2011–15 Industry (ISIC Rev 3 & Rev 4) 2011 2012 2013 2014 2015 Public administration 49.0 54.0 50.0 49.5 59.0 International organizations 9.5 5.4 11.3 15.9 2.9 21.4 14.0 5.0 6.0 11.4 Manufacturing 3.9 3.8 5.0 5.4 2.4 Health and social work 3.0 4.4 7.1 5.1 6.2 Financial intermediation 2.7 1.9 4.0 3.9 1.3 Education 6.0 13.8 4.2 3.6 12.2 Others 4.5 2.7 13.5 10.6 4.5 Total 100 100 100 100 100 11,978 17,106 14,264 11,323 12,687 Other service activities Number of jobs advertisements’ Source: UBOS NB: A vacancy is entered only once even if it appears more than once in the same newspaper or different newspaper Note excludes 106,007 jobs advertisements and recruited for the National Population and Housing census 2014 as Parish/Ward Supervisors and Enumerators Table 2.3 I: Average Monthly Employee Earnings (for the 49 manufacturing and hotel establishments, 2014–2016 (‘000 Shillings) Activity 2014 2015 2016 percent change Manufacture of food and beverages 319 437 361 -17.4 Manufacture of textiles and footwear 348 346 391 13.1 Manufacture of wood and paper products 270 286 338 18.1 Printing and reproduction of recorded media 626 743 868 16.7 634 698 1,158 65.9 Manufacture of chemicals, plastic products and pharmaceuticals Manufacture of clay, cement, and other non-metallic products 832 795 981 23.4 Manufacture of metallic products 1,734 2,194 2,073 -5.5 Manufacture of batteries and carpentry 1,659 998 1,052 5.4 613 751 803 7.0 Total Source: Establishment survey, Uganda Bureau of Statistics 173 2.5 Health Table 2.5A: Number of Health Facilities by Ownership Status, 2012/13 District Central Region Buikwe Bukomansimbi Butambala Buvuma Gomba Kalangala Kalungu Kampala Kayunga Kiboga Kyankwanzi Luwero Lwengo Lyantonde Masaka Mityana Mpigi Mubende Mukono Nakaseke Nakasongola Rakai Sembabule Wakiso Total Central Region Northern Abim Adjumani Agago Alebtong Amolatar Amudat Amuru Apac Arua Dokolo Gulu Kaabong Kitgum Koboko Kole Kotido Lamwo Lira Maracha Moroto Moyo Nakapiripirit Napak Nebbi Nwoya Otuke Oyam Pader Yumbe Zombo Total Northern Region Govt Ngo Private Total District 20 7 14 9 17 10 13 20 20 19 14 14 16 19 26 32 20 59 36 18 29 69 20 63 584 13 6 6 2 2 1 11 40 4 3 5 22 22 2 6 21 13 12 9 6 4 24 3 40 277 0 0 4 0 0 0 0 1332 0 18 2 3 0 7 0 0 0 0 0 0 0 6 1 0 1373 33 13 24 11 19 11 24 1392 24 40 21 39 38 28 32 53 33 71 45 24 33 99 24 103 2234 17 30 32 15 10 7 27 28 54 16 54 33 20 14 10 16 22 22 12 11 35 13 10 33 13 13 26 32 26 13 664 2 3 1 3 2 1 5 4 16 1 18 4 2 1 1 3 1 7 2 4 6 7 2 7 4 1 3 3 2 6 122 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 19 33 33 18 12 8 32 32 71 17 73 37 22 15 11 19 23 29 14 15 41 20 12 40 17 14 29 35 28 19 788 Eastern Region Amuria Budaka Bududa Bugiri Bukedea Bukwo Bulambuli Busia Butaleja Buyende Iganga Jinja Kaberamaido Kaliro Kamuli Kapchorwa Katakwi Kibuku Kumi Kween Luuka Manafwa Mayuge Mbale Namayingo Namutumba Ngora Pallisa Serere Sironko Soroti Tororo Total Eastern Region Western Region Buhweju Buliisa Bundibugyo Bushenyi Hoima Ibanda Isingiro Kabale Kabarole Kamwenge Kanungu Kasese Kibaale Kiruhura Kiryandongo Kisoro Kyegegwa Kyenjojo Masindi Mbarara Mitooma Ntoroko Ntungamo Rubirizi Rukungiri Sheema Total western Region Govt Ngo Private Total 27 13 13 35 15 15 18 29 23 10 40 53 14 13 36 15 23 14 15 16 22 16 34 33 25 25 10 26 16 22 24 62 752 11 6 3 14 5 1 3 5 2 13 16 14 5 8 17 3 4 3 9 6 6 7 8 12 7 10 2 7 6 6 6 5 230 0 0 0 1 0 0 0 0 0 0 1 46 1 0 1 2 0 0 0 0 0 0 0 2 0 0 0 0 0 0 1 7 62 38 19 16 50 20 16 21 34 25 23 57 113 20 21 54 20 27 17 24 22 28 23 42 47 32 35 12 33 22 28 31 74 1044 12 7 22 25 43 40 54 89 41 29 25 71 35 35 19 31 14 16 33 48 16 6 39 13 53 27 843 4 0 3 11 11 5 8 31 15 9 22 19 17 4 3 4 1 10 5 8 6 1 2 3 35 8 245 1 0 0 0 0 0 1 19 4 0 0 17 0 0 0 0 0 0 5 2 0 2 0 0 0 0 51 17 7 25 36 54 45 63 139 60 38 47 107 52 39 22 35 15 26 43 58 22 9 41 16 88 35 1139 174 Table 2.5 B: Countrywide routine immunization rates for all antigens, 2015/16 District Central Buikwe Bukomansimbi Butambala Buvuma Gomba Kalangala Kalungu Kampala Kayunga Kiboga Kyankwanzi Luwero Lwengo Lyantonde Masaka Mityana Mpigi Mubende Mukono Nakaseke Nakasongola Rakai Sembabule Wakiso Eastern Amuria Budaka Bududa Bugiri Bukwo Bulambuli Busia Butaleja Buyende Iganga Jinja Kaberamaido Kaliro Kamuli Kapchorwa Katakwi Kibuku Kumi Kween Luuka Manafwa Mayuge Mbale Namayingo Namutumba Ngora Pallisa Serere Sironko Soroti Tororo BCG DPT3 Polio 3 Measles 95 67 115 75 84 89 77 162 127 109 89 97 92 118 113 107 107 124 90 118 74 91 88 68 95 68 101 93 118 127 71 135 120 102 103 111 99 98 104 105 119 114 92 93 88 96 111 87 93 67 96 91 113 125 70 131 103 101 101 104 90 120 99 95 116 110 90 91 81 98 112 84 84 63 80 83 94 118 63 130 219 81 85 97 344 85 119 229 159 101 135 266 67 91 103 88 127 93 95 123 108 66 89 94 114 85 120 108 108 121 87 140 76 93 109 119 147 87 128 123 121 117 104 131 97 119 102 HMIS 118 87 94 118 107 61 81 91 99 81 119 107 105 113 86 137 70 93 110 119 149 82 128 162 122 113 104 129 93 117 94 96 73 99 105 104 59 73 86 93 74 107 88 84 233 77 104 66 80 101 95 120 68 148 117 110 101 84 97 97 91 93 94 95 70 118 91 65 88 106 155 95 112 101 116 116 89 89 87 74 90 100 127 91 137 115 130 97 92 124 69 111 91 Source: Ministry of Health – District Northern Abim Adjumani Agago Alebtong Amolatar Amudat Amuria Amuru Apac Arua Dokolo Gulu Kaabong Kitgum Koboko Kole Kotido Lamwo Lira Maracha Moroto Moyo Nakapiripirit Napak Nwoya Omoro Otuke Oyam Pader Western Buhweju Bulisa Bundibugyo Bushenyi Hoima Ibanda Isingiro Kabale Kabarole Kagadi Kakumiro Kamwenge Kanungu Kasese Kibaale Kiruhura Kiryandongo Kisoro Kyegegwa Kyenjojo Masindi Mbarara Mitooma Ntoroko Ntungamo Uganda BCG DPT3 Polio 3 Measles 95 70 97 79 96 71 94 97 72 96 85 77 126 84 83 84 80 77 91 84 74 54 72 125 82 78 114 105 73 159 86 128 82 110 99 127 116 79 87 99 82 157 122 93 81 151 109 91 103 112 70 92 161 110 93 115 104 86 157 82 199 81 110 99 118 115 77 88 100 111 149 89 98 80 148 108 97 95 110 69 90 158 102 92 113 103 85 154 84 113 69 88 94 96 136 82 79 91 77 153 110 88 79 122 86 107 162 122 66 78 218 97 107 108 93 85 80 87 102 95 103 92 110 54 119 95 82 136 97 95 112 132 53 114 97 81 179 94 87 103 147 51 128 67 59 277 79 82 111 112 48 257 91 76 97 20 87 122 89 86 92 84 87 68 92 78 94 93 100 108 23 95 139 91 89 94 85 86 89 125 82 82 92 100 104 20 91 139 88 76 88 84 84 84 180 79 75 82 89 93 21 102 128 75 78 83 79 75 80 96 73 2016 175 Table 2.5 C: Out Patient Department per capita Utilisation in Government and PNFP health facilities, percent, 2012/13-2015/16 2012/13 Central Buikwe Bukomansimbi Butambala Buvuma Gomba Kalangala Kalungu Kampala Kayunga Kiboga Kyankwanzi Luwero Lwengo Lyantonde Masaka Mityana Mpigi Mubende Mukono Nakaseke Nakasongola Rakai Sembabule Wakiso Eastern Amuria Budaka Bududa Bugiri Bukedea Bukwo Bulambuli Busia Butaleja Buyende Iganga Jinja Kaberamaido Kaliro Kamuli Kapchorwa Katakwi Kibuku Kumi Kween Luuka Manafwa Mayuge Mbale Namayingo Namutumba Ngora Pallisa Serere Sironko Soroti Tororo 1.1 0.7 1.7 1.2 1.1 1.9 1.1 0.9 1.1 0.8 1.4 0.7 2.4 1.5 1.3 1.2 1 0.9 1.4 2 1.7 0.8 0.7 0.8 1 1 0.8 0.6 2.1 3.2 1.2 1.5 0.5 1.1 1.7 1.1 0.6 1.1 1.9 1.3 1 1.2 0.9 0.9 0.9 0.8 1.2 0.8 1 0.8 0.9 0.8 1.2 1.2 1.6 2013/14 2014/15 2015/16 1 0.7 1.6 1 0.9 1.3 1 1.1 0.8 1 0.7 1.2 0.8 2.7 1.4 1.1 1.3 0.8 0.7 1.2 1.7 1.6 0.5 0.8 1.1 0.8 1.6 0.6 0.9 1.9 1.1 2.5 1 1.2 0.6 1.3 0.9 2.3 2 1.2 1.1 0.8 0.9 1.3 1.6 1.5 0.7 0.6 1 0.8 1.5 0.6 0.9 1.9 1 1.6 0.8 1.4 0.6 1.1 0.9 2.2 1.5 1.1 0.9 0.7 0.7 1.3 1.4 1.5 0.7 0.5 0.6 1 1 1.2 0.9 1 1 0.7 1.8 0.8 1.6 1.5 0.5 1.2 1.9 1.3 0.7 1.2 1.8 2 0.9 1.5 1.2 1 0.7 0.8 1.2 1.2 1 1.2 1 1.2 0.9 2.2 1.6 1.3 0.8 0.8 0.8 0.7 1.7 0.8 1.2 1.1 0.5 1.2 2 1.1 0.7 1.4 1.4 1.5 0.8 1.2 1.3 0.9 0.6 0.8 1.1 1.1 0.7 1.3 0.8 1.1 0.8 1.8 1.2 0.5 2 1.2 1.1 1.4 0.2 1 1.5 1.1 0.7 1 1.6 1.4 0.9 1 0.9 0.9 0.6 0.8 1.1 0.9 0.9 0.8 0.9 1 0.7 1.8 1.6 Northern Abim Adjumani Agago Alebtong Amolatar Amudat Amuru Apac Arua Dokolo Gulu Kaabong Kitgum Koboko Kole Kotido Lira Maracha Moroto Moyo Nakapiripirit Napak Nebbi Nwoya Omoro Otuke Oyam Pader Yumbe Zombo Western Buhweju Bulisa Bundibugyo Bushenyi Hoima Ibanda Isingiro Kabale Kabarole Kamwenge Kanungu Kasese Kibaale Kiruhura Kiryandongo Kisoro Kyegegwa Kyenjojo Masindi Mbarara Mitooma Ntoroko Ntungamo Rubirizi Rukungiri Sheema Uganda 2012/13 2013/14 2014/15 2.9 1.3 0.9 0.5 2.9 0.4 1.1 0.8 0.9 0.8 1.8 0.6 1 0.7 0.5 0.8 1.1 1.1 0.9 0.8 1 0.8 1.3 3.1 2.7 1 1 0.6 1 0.3 1.2 1.2 1.1 0.9 2 0.6 1 0.7 0.5 0.8 1.4 0.9 1 0.8 0.7 0.7 1.3 2.6 1.6 2.2 1.4 0.6 1 0.6 1.3 0.9 1.8 1 2.6 1.6 1.6 1 0.5 1.1 1.7 1.1 1.5 2.6 0.9 1 1.3 1.1 1.3 0.6 0.9 0.5 0.7 1 0.6 0.9 0.5 0.8 1 0.7 1.2 0.8 0.7 1.1 1 1.1 1.2 1.1 1.4 1.6 1.8 1.7 1.2 1.5 0.9 0.6 1.4 0.5 1.9 1.2 0.8 1 1.2 1 0.7 1 1 1.6 1.4 1.1 1.2 1.1 1.1 1.3 1.2 1.3 1.6 1.7 1.5 1 1.4 0.9 0.6 1.1 0.6 1.6 1.1 0.8 1 1.3 1 0.7 1 1 1.6 1.3 1 Source: Ministry of Health HMIS 2015/16 176 20 1 2 1 0 0 0 1 1 1 0 1 1 2 1 0 1 1 1 1 2 0 1 1 1 1 0 1 1 0 0 0.9 0.8 1.3 1.5 1.5 1.5 1.4 1.6 1.6 0.8 1.3 1.1 0.5 1.1 0.9 1.5 0.7 0.8 1.4 1.4 1.1 1.1 0.9 1 1.7 2.3 1 Table 2.5 D: Deliveries in Government and PNFP health facilities, percent, 2012/132015/16 2012/13 Central Buikwe Bukomansimbi Butambala Buvuma Gomba Kalangala Kalungu Kampala Kayunga Kiboga Kyankwanzi Luwero Lwengo Lyantonde Masaka Mityana Mpigi Mubende Mukono Nakaseke Nakasongola Rakai Sembabule Wakiso Amuria Budaka Bududa Bugiri Bukedea Bukwo Bulambuli Busia Butaleja Buyende Iganga Jinja Kaberamaido Kaliro Kamuli Kapchorwa Katakwi Kibuku Kumi Kween Luuka Manafwa Mayuge Mbale Namayingo Namutumba Ngora Pallisa Serere Sironko Soroti Tororo 38 15 77 22 22 18 49 2013/14 2014/15 2015/16 36 56 17 47 16 60 90 57 68 31 40 58 40 47 18 30 39 19 78 23 23 19 50 89 37 57 18 62 22 61 91 58 69 37 41 59 41 48 19 31 44 22 281 15 26 26 50 119 46 76 23 55 25 75 88 64 64 40 47 63 43 47 16 27 44 28 75 18 34 34 53 119 54 82 22 60 31 80 88 68 72 39 48 79 44 54 19 30 23 43 22 27 47 20 19 53 47 27 49 64 41 28 44 34 36 39 56 11 17 22 28 45 19 29 46 46 40 33 54 33 24 44 26 28 48 21 20 54 47 28 50 65 44 30 44 35 37 40 57 12 18 23 29 46 20 37 50 47 41 34 55 41 47 53 26 37 54 27 18 55 56 35 58 77 47 32 58 48 60 53 57 15 25 31 38 62 29 37 61 54 67 28 78 55 57 61 28 46 49 34 23 62 67 41 62 85 55 38 79 58 62 55 58 19 28 36 41 66 35 39 65 58 76 27 86 56 2011/12 Northern Abim Adjumani Agago Alebtong Amolatar Amudat Amuru Apac Arua Dokolo Gulu Kaabong Kitgum Koboko Kole Kotido Lamwo Lira Maracha Moroto Moyo Nakapiripi rit Napak Nebbi Nwoya Otuke Oyam Pader Yumbe Zombo Western Buhweju Bulisa Bundibug yoBushenyi Hoima Ibanda Isingiro Kabale Kabarole Kamweng e Kanungu Kasese Kibaale Kiruhura Kiryandon goKisoro Kyegegw a Kyenjojo Masindi Mbarara Mitooma Ntoroko Ntungamo Rubirizi Rukungiri Sheema Uganda 70 22 42 11 23 7 36 32 34 29 80 57 33 28 25 43 47 11 34 13 58 79 25 41 16 32 44 24 30 43 62 44 16 40 42 92 35 3 41 29 26 27 58 42 47 38 55 38 17 46 35 61 36 38 2012/13 2013/14 2014/15 2015/16 70 21 40 18 31 6 32 32 37 32 80 9 54 26 25 30 45 44 45 15 16 15 23 58 112 25 41 18 29 39 71 22 41 51 32 7 35 33 59 33 81 10 56 30 26 31 45 45 51 16 17 16 24 59 113 26 42 19 30 40 49 54 79 33 39 32 35 42 90 43 81 59 15 42 37 55 91 54 52 45 46 41 67 66 47 34 64 33 46 43 54 62 85 37 44 32 40 41 61 53 84 60 78 49 38 66 68 57 57 39 49 39 69 71 46 23 28 29 56 47 36 47 43 81 58 37 37 44 27 25 57 42 59 30 64 23 15 36 29 56 40 39 24 29 33 57 50 37 48 44 82 59 38 38 46 28 26 58 43 60 31 65 26 16 37 30 57 41 44 25 31 41 71 57 49 48 50 69 52 52 46 40 37 42 60 35 52 57 62 29 34 44 32 64 63 53 Source: Ministry of Health HMIS 2015/16 177 39 67 37 41 44 28 38 46 73 60 51 60 56 75 50 56 52 43 40 58 63 41 55 51 65 33 64 45 43 70 57 55 Table 2.5 E: Selected health sector performance indicators, 2013/14- 2015/16 HIV Testing in Children born to HIV mothers 2013/14 2014/15 2015/16 Central HIV Testing Positive Women Buikwein Children born 100 to HIV 100 127 Bukomansimb 100 100 Butambala 62 62 i Buvuma 108 8 Gomba 24 24 Kalangala 137 137 Kalungu 73 73 Kampala 100 100 Kayunga 39 39 Kiboga 47 47 Kyankwanzi 34 34 Luwero 51 51 Lwengo 100 100 Lyantonde 48 48 Masaka 84 84 Mityana 57 57 Mpigi 67 67 Mubende 100 100 Mukono 44 44 Nakaseke 67 67 Nakasongola 42 42 Rakai 48 48 Sembabule 25 40 Wakiso 100 100 Eastern Amuria 100 100 Budaka 22 22 Bududa 100 100 Bugiri 30 30 Bukedea 100 100 Bukwo 18 18 Bulambuli 42 42 Busia 53 53 Butaleja 100 100 Buyende 39 28 Iganga 55 55 Jinja 71 71 Kaberamaido 100 100 Kaliro 100 100 Kamuli 100 100 Kapchorwa 21 21 Katakwi 70 70 Kibuku 12 12 Kumi 30 30 Kween 9 18 Luuka 21 21 Manafwa 62 62 Mayuge 37 37 Mbale 32 32 Namayingo 76 76 Namutumba 100 100 Ngora 100 100 Pallisa 17 17 Serere 89 89 Sironko 30 30 Soroti 63 63 Tororo 100 100 Source: Ministry of Health HMIS 2015/16 205 100 257 162 176 102 104 109 107 152 86 133 122 226 96 74 113 124 72 143 147 229 133 117 101 109 167 125 300 190 92 119 179 116 123 136 259 77 99 122 95 100 7 162 87 160 117 227 271 97 68 74 103 142 103 Pregnant women receiving 2nd dose 2012/13 of 2013/14 Fansidar2014/15 for IPT 2015/16 Pregnant who receive 4 2013/14 2014/15 2015/16 antenatal care visits 54 66 54 54 40 64 44 53 74 57 51 52 62 64 41 33 51 34 49 48 43 41 51 39 55 67 55 55 46 65 45 54 75 59 52 54 63 65 42 39 57 38 58 33 47 36 50 50 60 74 53 62 45 78 46 57 64 61 56 57 59 58 40 29 57 37 67 22 52 55 55 50 51 84 52 64 48 69 44 62 71 56 42 69 52 59 36 33 29 23 29 17 20 41 38 47 32 44 22 79 30 48 38 36 54 31 25 33 45 44 27 23 34 21 34 8 22 28 45 66 42 41 23 41 31 61 34 40 44 30 30 32 44 43 22 16 32 23 38 9 34 34 37 65 32 48 25 46 31 49 35 43 45 31 31 35 39 44 18 21 34 68 32 49 63 49 36 54 62 44 43 55 60 39 49 38 47 47 62 32 17 37 49 49 47 71 65 64 52 46 54 49 36 69 40 50 58 50 37 55 75 45 44 56 59 49 51 39 48 48 63 33 18 38 50 50 48 49 49 65 53 47 55 57 69 72 38 59 61 50 30 58 68 51 57 58 62 54 65 51 60 58 57 45 23 44 53 52 63 56 61 69 83 38 73 62 76 69 35 66 58 53 40 63 84 58 50 57 59 48 81 56 69 61 59 45 35 41 62 60 69 61 69 77 77 46 72 61 12 37 17 19 20 27 21 25 27 29 25 41 23 33 35 19 22 17 49 12 12 15 23 30 30 29 34 20 17 23 29 27 23 33 19 29 24 35 16 28 30 28 33 42 23 33 44 27 36 28 42 18 17 21 30 36 33 34 36 29 26 22 43 53 25 38 17 35 28 33 20 30 51 40 30 46 37 43 54 29 32 33 41 24 22 23 35 39 44 47 37 33 34 25 50 40 50 30 48 47 42 40 50 178 Table 2.5 E (ct’d): Selected health sector performance indicators, 2013/14- 2015/16 HIV Testing in Children born to HIV mothers 2013/14 2014/15 2015/16 HIV Testing in Children born to HIV Positive Women Northern Abim 100 100 139 Adjumani 12 12 75 Agago 98 98 73 Alebtongo 100 100 117 Amolatar 54 54 163 Amudat 6 6 109 Amuru 96 96 78 Apac 34 34 91 Arua 100 100 146 Dokolo 40 40 221 Gulu 120 120 108 Kaabong 6 49 313 Kitgum 100 100 89 Koboko 100 100 135 Kole 37 37 110 Kotido 12 32 100 Lamwo 100 100 116 Lira 74 74 123 Maracha 70 70 113 Moroto 28 35 91 Moyo 8 8 173 Nakapiripirit 28 30 95 Napak 18 18 120 Nebbi 58 58 94 Nwoya 57 57 117 Otuke 54 54 192 Oyam 31 31 157 Pader 44 44 89 Yumbe 12 39 93 Zombo 100 100 126 Western Buhweju 100 35 141 Bulisa 31 31 122 Bundibugyo 100 100 98 Bushenyi 97 97 147 Hoima 100 100 127 Ibanda 43 43 113 Isingiro 46 46 92 Kabale 47 47 123 Kabarole 140 140 105 Kagadi 140 Kakumiro 148 Kamwenge 53 53 133 Kanungu 55 55 96 Kasese 100 100 103 Kibaale 92 92 127 Kiruhura 69 69 117 Kiryandongo 21 21 124 Kisoro 23 23 58 Kyegegwa 75 75 171 Kyenjojo 84 84 114 Masindi 27 27 109 Mbarara 67 67 131 Mitooma 100 100 133 Ntoroko 25 25 126 Ntungamo 41 41 99 Rubanda 132 Rubirizi 75 75 87 Rukungiri 68 68 117 Sheema 62 62 75 Uganda 98 98 117 Pregnant women receiving 2nd dose of 2012/13 2013/14 2014/15 2015/16 Fansidar for IPT Pregnant who receive 4 2013/14 2014/15 2015/16 antenatal care visits 86 21 41 44 43 17 66 45 45 59 74 22 51 42 41 42 44 42 57 40 14 56 34 65 135 46 54 35 31 47 75 22 52 53 44 18 69 46 58 60 75 23 49 39 42 43 50 55 58 41 15 57 35 66 136 47 55 36 32 86 44 48 70 54 47 33 67 39 70 64 69 57 67 53 47 56 99 59 42 51 47 42 56 57 32 56 74 59 47 44 56 60 67 56 58 35 62 43 51 82 77 51 67 55 43 70 69 52 68 63 56 53 65 69 55 56 62 57 34 51 67 19 41 24 22 7 33 21 39 40 42 18 30 22 18 24 34 31 39 36 11 33 30 36 56 19 28 25 20 43 33 34 60 28 26 16 33 34 44 37 45 49 48 32 26 32 75 32 41 35 38 30 52 45 95 29 51 37 39 42 42 43 55 28 22 14 32 30 30 44 44 45 46 34 24 36 50 36 38 77 41 35 79 30 55 49 48 45 78 13 36 57 31 56 50 49 43 62 58 44 65 41 46 49 48 53 58 54 55 67 51 58 38 58 21 29 19 53 37 24 49 40 53 25 21 27 51 44 30 35 42 47 59 40 44 63 60 51 39 85 73 47 35 30 20 34 60 41 46 56 61 52 40 86 74 48 36 30 21 35 54 55 53 50 67 66 41 59 62 50 42 36 40 41 58 48 63 50 62 74 46 60 58 62 45 38 50 37 53 37 36 32 53 18 40 55 79 36 41 31 20 30 43 51 42 23 56 31 33 43 46 55 49 38 34 27 45 47 40 48 46 48 41 49 54 47 54 49 55 51 41 55 34 52 35 32 44 43 44 32 35 21 26 57 39 37 38 41 51 0 0 43 40 47 29 45 34 30 43 50 50 49 30 38 29 0 50 43 31 38 31 42 31 48 41 29 29 46 38 31 44 179 2.6 Crime Statistics Table 2.6 A: Region District Central Bukomansimbi Buikwe Butambala Buvuma Gomba Kalangala Kalungu Luuka Kayunga Kiboga Kyankwanzi Lwengo Luwero Lyantonde Nakaseke Nakasongola Masaka Mityana Mpigi Mubende Mukono Rakai Sembabule Wakiso Distribution of Prisoners by district and category, 2015 - 2016 Convicts 5,351 46 768 26 12 93 41 129 61 304 59 29 122 149 29 70 486 358 90 132 446 89 242 112 1,519 2015 Remands Debtors 5,606 77 20 187 4 83 18 26 18 1 45 2 19 1 167 4 232 1 87 214 3 40 1 122 516 1 790 31 124 1 175 1 515 2 211 7 163 5 71 5 1,782 8 EASTERN 4,173 3,616 Amuria 37 71 Budaka 43 11 Bugiri 57 23 Bukedea 61 89 Bukwo 9 14 Busia 11 87 Butaleja 10 25 Buyende 60 16 Iganga 100 229 Jinja 1,384 1,019 Mbale 210 675 Namayingo 17 36 Namutumba 58 18 Ngora Manafwa 5 56 Mayuge 406 41 Kaberamaido 29 29 Kibuku 7 10 Kaliro 47 34 Kamuli 62 102 Kapchorwa 21 154 Katakwi 21 125 Kumi 55 68 Kween 60 Tororo 428 325 Pallisa 28 89 Sironko 36 301 Serere 46 61 Soroti 247 446 Source: Uganda Prison services 46 1 11 6 7 1 4 1 1 1 1 6 3 2 Total 11,034 66 959 109 30 119 60 176 81 475 292 29 209 366 70 192 1,003 1,179 215 308 963 307 410 188 3,309 Convicts 6,626 81 581 41 5 44 48 153 75 368 145 44 45 173 40 110 986 413 110 234 632 300 288 178 1,607 7,835 108 54 80 150 24 98 35 76 340 2,409 892 53 77 4,331 61 23 49 38 26 14 10 64 162 1,345 425 37 72 47 7 450 55 6 42 78 22 57 73 121 498 41 71 41 321 65 448 59 17 81 164 176 146 124 60 759 120 337 107 695 2016 Remands Debtors 5,732 72 27 0 176 1 57 0 38 0 27 0 25 0 54 4 30 2 173 0 159 2 0 0 142 0 263 10 26 0 119 0 462 2 847 14 124 1 201 5 611 2 264 6 175 6 123 7 1,639 12 4,633 50 10 43 51 17 110 37 27 279 1,394 582 42 4 52 74 71 55 9 55 119 129 110 80 0 423 88 83 59 550 Total 12,430 108 758 98 43 71 73 211 107 541 306 44 187 446 66 229 1450 1274 235 440 1245 570 469 308 3,258 60 0 0 9,024 111 33 92 89 43 124 47 91 447 2,739 1,024 79 76 100 85 521 111 18 97 197 152 167 155 121 930 137 158 100 873 0 0 0 0 0 0 6 0 17 0 0 1 4 0 1 3 0 0 1 0 2 0 9 8 4 0 2 180 Table 2.6 A (Ct’d): Distribution of Prisoners by district and category, 2015-2016 Region District NORTHERN Abim Adjumani Agago Alebtong Amolatar Amuru Apac Arua Dokolo Gulu Kaabong Koboko Kitgum Kole Kotido Lamwo Lira Moroto Moyo Nakapiripirit Nebbi Otuke Oyam Pader Yumbe Zombo 2015 Remands Debtors 4,685 29 42 212 100 38 40 153 2 754 9 25 1,224 4 20 102 1 196 5 19 93 25 672 4 195 61 65 56 3 31 1 279 69 30 184 - WESTERN Buhweju Bulisa Bundibugyo Bushenyi Hoima Ibanda Isingiro Kabale Kabarole Kamwenge Kagadi Kakumiro Kanungu Kasese Kibaale Kiruhura Kiryandongo Kisoro Kyegegwa Kyenjojo Masindi Mbarara Mitooma Ntungamo Rukungiri Rubanda National Convicts 3,548 128 218 53 21 22 47 180 248 58 953 8 67 72 16 24 61 241 187 17 328 165 12 260 32 38 92 4,710 28 18 15 100 92 480 31 174 951 83 6,973 33 28 84 712 259 192 198 491 950 99 126 3 28 4 4 5 12 2 50 800 106 65 69 17 12 23 932 456 22 73 113 151 222 159 184 87 72 57 99 874 1,496 216 310 - 20,424 24,803 Total 8,262 170 430 153 59 62 47 335 1,011 83 2,181 28 170 273 35 117 86 917 382 78 393 224 44 539 101 68 276 Convicts 4,867 293 363 71 58 31 11 188 316 71 1,088 41 107 156 26 43 21 443 298 20 328 330 19 344 66 70 65 Remands 4,945 24 116 123 40 63 2016 Debtors 47 0 0 1 0 0 171 732 43 1,211 39 132 221 26 76 41 599 252 38 63 51 51 252 364 115 102 2 16 0 5 0 1 11 0 1 0 4 0 0 0 4 1 0 1 0 0 11,809 61 46 102 840 355 676 229 670 1,913 184 5,921 29 17 16 217 147 518 113 209 910 154 41 99 83 970 8 156 140 72 18 54 952 789 17 54 131 7 6,937 36 68 45 603 163 192 202 453 884 85 65 54 133 246 123 151 120 93 45 54 1,000 1462 55 209 347 49 134 0 0 2 42 8 2 0 4 7 0 24,676 26,236 335 1 2 13 36 1 3 201 1,029 268 251 156 89 70 124 1,819 1,988 22 290 426 300 45,527 7 3 2 - 0 4 3 0 0 0 2 2 16 30 0 2 10 Total 9,859 317 479 195 98 94 11 361 1,064 114 2,304 80 240 388 52 120 62 1,046 550 58 391 385 71 596 431 185 167 12,992 65 85 63 862 318 712 315 666 1,801 239 106 153 216 1,220 134 307 260 165 65 110 1,968 2,281 72 265 488 56 51,247 Source: Uganda Prison services 181 Table 2.6 B: Prison Capacity and Occupancy Rate by District, 2015 – 2016 Region District Central bi Bukomansim Buikwe Butambala Buvuma Gomba Kalangala Kalungu Kampala Kayunga Kiboga Kyankwanzi Lwengo Luwero Lyantonde Nakaseke Nakasongola Masaka Mityana Mpigi Mubende Mukono Rakai Sembabule Wakiso Eastern Amuria Budaka Bugiri Bukedea Bukwo Busia Butaleja Buyende Iganga Luuka Jinja Mbale Namayingo Namutumba Ngora Manafwa Mayuge Kaberamaido Kibuku Kaliro Kamuli Kapchorwa Katakwi Kumi Kween Tororo Pallisa Sironko Serere Soroti Source: Uganda Prison services Total 2015 Prison Occupancy Total 2016 Prison prisoners 11,115 66 959 109 30 119 60 176 6,587 475 292 29 209 366 70 192 1,003 1,179 215 308 963 307 410 188 3,309 7,754 108 54 80 150 24 98 35 76 340 81 2,409 892 53 77 Capacity rate (%) prisoners Capacity rate (%) 4,077 34 359 18 8 33 70 97 1,720 241 73 9 68 150 13 39 600 285 59 89 246 116 214 112 1,090 3,951 32 26 31 119 9 21 150 16 156 54 759 539 6 107 percent) 273 194 267 606 375 361 86 181 383 197 400 322 307 244 538 492 167 414 364 346 391 265 192 168 304 196 338 208 258 126 267 467 23 475 218 150 317 165 883 72 25 163 36 7 42 83 137 19 52 40 754 57 26 29 510 260 275 164 243 193 198 128 768 238 150 101 211 1,296 369 136 12,537 108 758 98 43 71 73 211 6,942 540 306 44 187 446 66 229 1,450 1,274 235 440 1,245 571 469 308 3,258 8,917 111 33 92 89 43 124 47 91 447 107 2,739 1,024 79 76 100 85 521 111 18 97 197 152 167 155 121 930 137 158 100 873 4,045 34 298 18 8 23 70 97 1,720 233 73 9 53 150 13 39 600 300 59 107 256 185 214 112 1,072 4,005 32 16 31 48 9 21 150 16 156 54 759 539 6 107 71 25 163 36 7 42 83 137 19 52 40 754 67 26 29 510 %)percent) 310 318 254 544 538 309 104 218 404 232 419 489 353 297 508 587 242 425 398 411 486 309 219 275 304 223 347 206 297 185 478 591 31 569 287 198 361 190 1,317 71 141 340 320 308 257 231 237 111 879 298 303 123 205 608 345 171 65 448 59 17 81 164 176 146 124 60 759 120 337 107 695 Occupancy 182 Table 2.6 B (Ct’d): Prison Capacity and Occupancy Rate by District, 2014 - 2015 Region 2015 Total Prison District Northern Abim Adjumani Agago Alebtong Amolatar Amuru Apac Arua Dokolo Gulu Kaabong Koboko Kitgum Kole Kotido Lamwo Lira Moroto Moyo Nakapiripirit Nebbi Otuke Oyam Pader Yumbe Zombo Western Buhweju Bulisa Bundibugyo Bushenyi Hoima Ibanda Isingiro Kabale Kabarole Kamwenge Kagadi Kakumiro Kanungu Kasese Kibaale Kiruhura Kiryandongo Kisoro Kyegegwa Kyenjojo Masindi Mbarara Mitooma Ntungamo Rukungiri Rubanda National Source: Uganda Prison services Occupancy Total 2016 Prison Occupancy prisoners 9,859 317 479 195 98 94 11 361 1,064 114 2,304 80 240 388 52 120 62 1,046 550 58 391 385 71 596 431 185 167 12,992 65 85 63 862 318 712 315 666 1801 239 106 153 216 1220 134 307 260 165 65 110 1968 2281 72 265 488 56 51,247 Capacity 2,833 84 251 19 47 56 70 127 234 60 527 12 103 90 21 26 43 194 264 34 126 55 20 183 56 46 55 4,009 18 10 7 275 105 464 28 216 687 40 31 31 33 475 30 94 154 18 22 24 501 547 17 40 87 27 16612 rate ( 348 percent) 377 191 1,026 209 168 16 284 455 190 437 667 233 431 248 462 144 539 208 171 310 700 355 326 770 402 304 324 361 850 900 314 303 153 1,125 308 262 598 342 494 655 257 447 327 169 917 296 458 393 417 424 663 561 207 309 prisoners 8,262 170 430 153 59 62 47 335 1,011 83 2,181 28 170 273 35 117 86 917 382 78 393 224 44 539 101 68 276 11,809 61 46 102 840 355 676 229 670 1,913 184 Capacity 2,738 84 251 19 47 56 11 127 234 60 527 12 103 78 21 26 55 194 264 34 126 55 20 183 45 21 85 4,031 18 10 7 325 105 481 28 243 687 23 rate ( 302 percent) 202 171 805 126 111 427 264 432 138 414 233 165 350 167 450 156 473 145 229 312 407 220 295 224 324 325 293 339 460 1,457 258 338 141 818 276 278 800 201 1,029 268 251 156 89 70 124 1,819 1,988 22 290 426 33 475 92 100 154 18 22 24 501 541 17 40 87 609 217 291 251 101 494 318 517 363 367 129 725 490 45,527 16,517 276 183 3 Production Statistics 3.1 Agriculture Table 3.1A: Production Volumes for Selected Cash Crops (Tonnes), 2012- 2016 Production (Procured) Year Robusta Arabica Total Tea Cotton Sugarcane 2012 133,830 52,295 186,125 57,939 47,577 2,523,916 2013 166,986 55,908 222,895 60,970 18,571 2,635,223 2014 164,777 47,395 211,872 65,373 14,594 3,352,895 2015 180,020 49,129 229,150 58,588 17,275 3,431,543 2016 184,145 58,916 243,061 39,299 20,339 3,067,466 Note: Procurement is used as a proxy for production for the above cash crops. Source: Uganda Coffee Development Authority (UCDA), Uganda Tea Authority, CDO Table 3.1 B: Area planted for selected food crops (Ha), 2012- 2016 Crop Plantain Bananas (All types) Cereals Millet Maize Sorghum Rice Wheat Total 2008/09* 915,877 2012 979,000 2013 972,125 2014 973,292 2015 973,340 2016 970,250 249,987 1,014,260 399,252 75,086 - 175,000 1,093,786 372,972 92,298 13,657 1,747,713 175,000 1,101,453 373,345 92,944 13,527 1,756,269 175,175 1,103,105 373,345 94,803 13,797 1,760,225 175,173 1,125,168 373,382 95,277 13,799 1,782,799 175,874 1,128,543 373,083 95,515 13,812 1,786,827 440,256 32,759 871,389 1,344,404 452,000 38,938 851,000 1,341,938 452,665 38,949 851,403 1,343,017 454,476 39,338 852,255 1,346,069 454,478 39,339 852,340 1,346,157 454,933 39,373 852,809 1,347,115 617,522 43,837 23,817 29,801 714,977 669,000 28,846 25,462 33,000 756,308 672,273 28,878 25,341 33,459 759,951 674,290 28,880 25,366 33,483 762,019 674,964 28,966 25,391 33,500 762,821 674,700 29,070 25,406 33,511 762,687 345,232 421,000 36,444 45,995 175,597 207,000 230,000 557,273 903,995 *Uganda Census of Agriculture 421,866 46,409 207,014 238,078 913,367 422,287 46,549 207,117 242,840 918,793 422,710 46,688 207,324 249,640 926,362 422,836 46,782 207,376 249,704 926,698 Root Crops S/potatoes Irish Cassava Total Pulses Beans Field Peas Cow peas Pigeon Peas Total Oil crops Gnuts Soya Beans Simsim Sunflower Total Source: MAAIF and UBOS 184 Table 3.1 C: Production for selected food crops (Tonnes), 2012- 2016 Crop Plantain Bananas(All types) Cereals Millet 2008/09* 2012 2013 2014 2015 2016 4,297,345 4,503,299 4,374,563 4,574,471 4,623,367 3,395,875 276,928 244,438 227,500 236,486 236,484 193,461 2,361,956 2,734,465 2,748,137 2,647,453 2,812,919 2,482,795 Sorghum 375,795 335,675 298,676 298,676 410,720 365,622 Rice 190,736 212,286 213,772 237,008 238,193 214,910 - 20,290 20,290 22,076 22,078 22,100 1,818,769 1,852,222 1,810,660 1,817,903 2,045,153 1,910,718 154,435 185,103 175,270 180,956 173,093 171,271 2,894,311 2,806,824 2,979,911 2,812,721 2,727,487 2,728,988 Maize Wheat Root Crops S/potatoes Irish Cassava Pulses Beans 929,276 869,607 941,182 1,011,435 1,079,943 809,640 Field Peas 16,452 11,550 17,327 15,884 13,035 12,500 Cow peas 11,057 10,135 12,670 12,683 12,696 11,433 Pigeon Peas 11,330 13,382 13,384 13,393 13,400 13,069 244,683 295,000 295,306 295,601 295,897 274,844 23,623 23,000 23,205 27,929 28,013 25,730 101,028 124,000 124,208 144,982 145,127 134,795 - 230,000 238,078 242,840 244,647 237,219 Other Gnuts Soya Beans Simsim Sun flower *Uganda Census of Agriculture Source: MAAIF and UBOS 185 Table 3.1D: Total production of Major Crops by district - UCA 2008/09 (Metric Tonnes) Cereals District Plantain Bananas Finger Millet Maize Sorghum Central Kalangala Kampala Kayunga Kiboga Luwero Lyantonde Masaka Mityana Mpigi Mubende Mukono Nakaseke Nakasongola Rakai Ssembabule Wakiso Sub-Total 531 3,004 14,657 65,380 37,534 38,588 195,218 34,150 114,653 204,109 36,026 27,511 1,632 139,314 98,643 28,884 1,039,834 0 0 710 46 0 513 108 0 3 627 160 138 9,674 151 1,605 0 13,735 776 245 18,107 34,875 29,849 3,675 82,287 13,321 19,578 171,089 18,882 6,375 14,835 18,213 12,464 5,287 449,858 Eastern Amuria Budaka Bududa Bugiri Bukedea Bukwo Busia Butaleja Iganga Jinja Kaberamaido Kaliro Kamuli Kapchorwa Katakwi Kumi 143 726 60,138 13,227 102 3,959 596 446 13,263 6,435 286 3,540 17,296 26,892 0 21 1,897 1,700 60 1,547 4,181 34 1,060 8,055 786 163 2,826 3,625 8,418 0 819 1,435 Manafwa 58,884 Mayuge Mbale Namutumba Pallisa Sironko Soroti Tororo Sub-Total 4,650 99,011 2,095 87 29,438 0 1,001 342,236 Root Crops Rice Sweet Potatoes Irish Potatoes Cassava 0 0 130 58 0 0 115 85 76 350 15 29 0 1,313 358 149 2,678 0 0 207 251 362 0 0 0 12 0 837 58 0 0 0 447 2,174 4,343 796 29,331 7,969 15,741 1,148 33,757 8,346 21,478 36,274 37,501 10,786 66,419 9,022 6,294 23,200 312,405 0 0 0 916 77 4,905 106 944 362 1,483 0 48 0 3,539 158 753 13,291 7,950 1,054 33,867 14,186 39,732 4,093 64,965 9,666 39,219 41,188 41,669 13,771 49,405 14,589 12,744 21,712 409,810 1,353 4,812 11,259 63,603 27,703 45,644 10,701 18,829 303,262 18,497 3,801 16,639 81,969 49,904 255 2,708 6,963 1,299 0 888 2,335 0 1,918 2,882 192 66 9,932 230 427 0 4,206 4,471 775 475 0 4,185 328 0 11,188 3,433 31,492 253 27 2,876 2,481 0 26 499 7,400 4,957 857 10,415 2,520 715 8,689 8,315 270,853 59,858 7,952 36,845 151,725 156 2,798 21,003 0 0 366 0 0 472 0 0 348 0 0 0 0 1,913 0 0 10,870 13,200 11,498 50,536 45,090 89 33,870 29,190 164,995 29,533 23,989 16,581 108,863 920 11,569 36,564 505 19,340 125 0 3,166 0 3,776 573 1,472 1,155 9,892 188 29,868 26,582 106,841 41,982 42,644 55,788 55,884 18,649 137,657 75,673 1,108,556 145 427 142 3,884 148 55,544 37,086 133,310 2,776 1,066 2,561 22,865 25 24,689 16,176 128,196 15,855 1,076 21,902 6,131 850 163,648 39,453 847,139 0 338 0 0 263 0 925 4,625 26,821 32,222 52,043 33,435 9,238 141,331 174,962 1,061,185 186 Table 3.1D: Total production of Major Crops by district - UCA 2008/09 (Metric Tonnes) Plantain Bananas Cereals Finger Millet Maize Crops Sorghum Rice Sweet Potatoes Irish Potatoes Cassava 0 212 0 0 150 17,106 352 0 0 0 1,523 0 215 0 58 423 10,132 201 861 136 257 31,626 762 1,237 3,005 13,130 7,116 11,341 7,325 4,931 1,300 5,515 118 5,124 4,441 301 265 0 351 492 3,967 7,373 479 78,573 2,645 47,264 4,025 17,954 45,728 11,626 16,921 10,386 3,618 3,108 5,928 6,703 17,156 3,736 6,697 1,730 19,335 6,952 24,876 10,791 38,617 305,796 2,440 20,528 579 13,790 1,294 12,338 3,396 6,507 8,764 13,266 1,298 14,429 13,831 11,332 3,313 7,368 2,306 5,544 4,757 22,503 7,507 177,090 0 569 0 19,042 641 2,604 167 1,997 0 470 436 0 8,009 0 15 0 98 631 3,667 5,029 344 43,719 489 55,598 3,938 13,726 20,217 43,070 6,926 61,732 8 4,881 10,193 0 10,871 307 15,200 1,105 5,272 8,944 11,579 5,777 13,099 292,932 0 0 0 0 0 242 0 0 0 0 0 0 53 0 0 0 1,016 0 0 0 0 1,311 509 51,767 13,138 47,111 239,932 147,010 42,531 28,933 1,318 272 10,739 0 13,821 0 4,996 565 194,456 53,125 75,593 4,845 52,463 983,124 Western Buliisa 114 4 Bundibugyo 39,944 0 Bushenyi 353,145 6,854 Hoima 9,846 1,328 Ibanda 146,079 6,551 Isingiro 601,363 2,727 Kabale 32,649 90 Kabarole 234,183 3,053 Kamwenge 113,212 1,449 Kanungu 132,431 8,141 Kasese 65,034 342 Kibaale 64,217 1,790 Kiruhura 125,218 5,411 Kisoro 18,319 19 Kyenjojo 50,687 5,943 Masindi 2,967 2,825 Mbarara 542,348 1,517 Ntungamo 193,172 20,107 Rukungiri 158,725 9,635 Sub-Total 2,883,653 77,786 National 4,297,349 276,935 Source: Uganda Bureau of Statistics 12,952 1,078 3,997 38,372 8,106 6,714 6,587 91,318 21,729 5,046 24,196 60,529 27,317 9,723 54,850 61,715 806 59,846 2,863 497,744 2,361,954 147 0 2,721 229 677 5,450 18,605 976 1,428 2,047 143 1,166 83 3,051 820 1,012 232 23,106 823 62,716 375,794 0 71 0 10,911 104 0 0 140 90 854 0 2,917 0 0 0 811 0 0 751 16,649 190,738 837 3,314 32,069 26,838 9,282 10,293 35,986 29,917 18,444 26,024 1,171 15,239 4,264 38,437 40,148 14,786 3,761 32,892 22,595 366,297 1,818,773 0 82 1,045 2,024 1,911 10,756 45,578 9,343 4,737 860 1,466 4,165 806 25,617 23,939 1,131 184 1,004 562 135,210 154,437 27,748 21,040 24,254 60,932 13,505 7,518 214 51,486 20,931 5,674 56,605 48,094 12,799 221 38,552 39,515 3,538 4,551 3,013 440,190 2,894,309 District Northern Abim Adjumani Amolatar Amuru Apac Arua Dokolo Gulu Kaabong Kitgum Koboko Kotido Lira Moroto Moyo Nakapiripirit Nebbi Nyadri Oyam Pader Yumbe Sub-Total Root 187 Table 3.1 D (Cont’d): Total production of Major Crops by district - UCA 2008/09 (Met Tonnes) Pulses District Beans Field peas Cow peas Oil crop Ground nuts Pigeon peas Soya beans SimSim CENTRAL Kalangala Kampala Kayunga Kiboga Luwero Lyantonde Masaka Mityana Mpigi Mubende Mukono Nakaseke Nakasongola Rakai Ssembabule Wakiso Sub-total 55 67 1,154 7,486 2,743 3,204 32,702 4,300 7,212 78,027 4,202 1,019 3,076 11,065 9,368 1,596 167,276 0 0 0 139 0 1 0 0 96 0 0 0 66 0 0 0 302 0 0 0 227 0 0 0 0 40 0 0 0 0 13 0 0 280 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 640 476 357 74 4,574 448 502 3,021 727 105 19,183 853 1,419 376 32,757 0 0 119 3 1 0 0 0 41 0 22 2 0 0 0 4 192 0 0 99 0 0 0 0 0 0 0 11 0 16 0 0 0 126 EASTERN Amuria Budaka Bududa Bugiri Bukedea Bukwo Busia Butaleja Iganga Jinja Kaberamaido Kaliro Kamuli Kapchorwa Katakwi Kumi Manafwa Mayuge Mbale Namutumba Pallisa Sironko Soroti Tororo 9,528 1,066 550 5,576 1,247 6,544 917 788 18,279 2,760 1,908 501 2,695 322 0 393 1,212 2,462 23,637 2,579 2,292 2,128 5,380 6,069 59 103 0 13 106 0 29 84 5 1 14 21 9 0 0 66 0 5 0 27 1,336 0 797 559 468 0 0 0 296 0 2 2 0 0 342 0 0 0 100 1,181 0 0 170 55 1,246 73 3,113 37 0 5 0 0 0 0 0 0 0 0 15 0 0 0 19 60 0 0 0 0 120 0 0 0 2,475 821 23 1,832 2,143 0 271 3,470 5,036 409 474 1,336 3,387 0 5,815 8,636 467 1,104 694 5,100 3,180 368 19,599 10,609 69 184 3 532 18 0 132 124 639 145 156 680 258 0 0 0 2 32 20 162 399 31 37 2,180 480 9 0 164 0 0 73 144 191 25 1,421 63 277 0 77 98 24 12 0 6 179 0 3,275 257 Sub-total 98,833 3,234 7,085 219 77,249 5,803 6,775 188 Table 3.1 D (Cont’d): Total production of Major Crops by district - UCA 2008/09 (Met Tonnes) Pulses District Beans Field peas Cow peas Oil crop Ground nuts Pigeon peas Soya beans SimSim NORTHERN Abim Adjumani Amolatar Amuru Apac Arua Dokolo Gulu Kaabong Kitgum Koboko Kotido Lira Moroto Moyo Nakapiripirit Nebbi Nyadri Oyam Pader Yumbe Sub-total 3,466 30 929 74,671 21,731 14,955 2,694 30,744 3,342 137 1,635 8,085 7,143 526 138 402 2,895 5,862 53,008 3,643 15,183 251,219 10 1,706 24 1,850 633 535 45 1,273 0 132 5 42 212 0 42 8 0 6 2,653 715 538 10,429 54 23 5 0 14 324 0 0 436 282 21 556 28 72 986 79 9 150 34 58 299 3,430 27 864 37 214 334 393 60 38 5 850 4 0 3,263 0 70 0 56 0 412 4,356 49 11,032 236 6,711 211 14,375 7,407 10,288 342 6,105 207 3,509 1,110 1,199 2,069 98 1,498 507 2,489 3,593 5,691 8,602 6,938 83,185 0 5 47 36 3,225 163 72 1,117 0 40 0 0 2,045 0 45 0 0 171 8,030 617 116 15,729 146 3,235 5,022 4,572 25,371 3,999 1,713 11,836 70 10,231 305 1,327 5,460 0 1,415 290 2,104 1,716 4,221 6,764 3,764 93,561 WESTERN Buliisa Bundibugyo Bushenyi Hoima Ibanda Isingiro Kabale Kabarole Kamwenge Kanungu Kasese Kibaale Kiruhura Kisoro Kyenjojo Masindi Mbarara Ntungamo Rukungiri Sub-total National 856 3,318 24,703 2,751 5,621 21,219 22,227 25,202 7,581 5,019 28,141 36,608 17,265 11,491 33,392 20,045 5,182 137,899 3,426 411,946 929,274 0 0 203 375 0 55 1,208 0 15 32 0 29 0 108 5 0 55 122 282 2,489 16,454 0 0 0 62 0 0 67 62 0 0 0 0 0 0 1 0 0 66 3 261 11,056 0 0 0 52 0 0 0 0 0 0 0 25 0 0 0 3 0 0 0 80 11,331 56 15 1,072 3,778 1,971 1,753 58 1,694 1,754 988 630 12,473 5,356 0 7,679 7,708 823 2,907 782 51,497 244,688 0 440 79 13 19 64 9 42 37 15 1,029 9 0 0 2 51 0 47 30 1,886 23,610 124 0 0 8 0 0 0 0 0 0 0 42 0 0 0 391 0 0 0 565 101,027 0 189 Table 3.1 E: Fish catch by water body (thousand tonnes), 2012 – 2016 Water Body Lake Victoria Lake Albert Lake Kyoga Lake Edward, George,& Kazinga Channel Albert Nile Lake Wamala Other Waters Total 2012 185,000 152,560 44,049 5,208 5,043 5,712 9,547 407,119 2013 193,000 160,000 40,000 6,248 5,500 4,500 10,000 419,248 2014 245,000 152,000 38,000 6,246 5,390 4,590 10,500 461,726 2015 238,630 149,040 41,768 6,354 5,122 4,186 9,760 454,860 2016 252,804 148159 40,710 6,638 5,375 3959 9,883 467,528 Source: Fisheries Department, Ministry of Agriculture, Animal Industry and Fisheries (MAAIF). Table 3.1 F: Livestock numbers (‘000s), 2012 – 2016 Species Cattle Sheep Goats Pigs Poultry Livestock 11,409 census 2008 3,413 12,450 3,184 37,448 2012 11,979 3,842 14,012 3,584 36,956 2013 13,020 3,937 14,433 3,691 43,396 2014 13,623 3,842 14,011 3,584 44,698 2015 14,031 4,198 15,312 3,916 46,039 2016 14,368 4,307 15,725 4,037 46,291 Source: Ministry of Agriculture, Animal Industry and Fisheries (MAAIF), and Uganda Bureau of Statistics Table 3.1 G: Meat production in metric tonnes, 2012 – 2016 Year Beef Goat/Mutton Pork 2012 191,280 35,666 20,867 2013 197,019 36,736 21,493 2014 202,929 37,838 22,138 2015 209,017 38,973 22,802 2016 214,033 39,987 24,190 Source: Ministry of Agriculture, Animal Industry and Fisheries (MAAIF), and Uganda Bureau of Statistics Table 3.1 H: Cattle Milk production in (‘000,000) litres, 2012 – 2016 Year Indigenous Exotic Total Milk produced 2012 2013 703 724 758 780 1,461 1,504 2014 745 804 1,550 2015 768 828 1,569 2016 848 786 1,634 Source: Ministry of Agriculture, Animal Industry and Fisheries (MAAIF), and Uganda Bureau of Statistics Table 3.1 I: Year Egg production by breed (000’s), 2012 – 2016 Exotic Indigenous Total Egg Production 2012 646,107 161,527 807,634 2013 665,490 166,373 831,863 2014 685,455 171,364 856,819 2015 706,019 176,505 882,524 2016 706,054 176,513 882,567 Source: Ministry of Agriculture, Animal Industry and Fisheries (MAAIF), and Uganda Bureau of Statistics 190 3.2 Index of Production Table 3.2 A: Index of Production (2002 =100), Calendar Year 2012 –2016 Annual Percentage Description Weight TOTAL MANUFACTURING FOOD PROCESSING Years Change 2012 2013 2014 2015 2016 2016 1000 193.41 199.03 219.71 221.61 233.47 5.4 400 158.39 175.18 210.88 186.51 206.25 10.6 Meat Preparation & Processing 2 97.50 131.52 120.93 80.35 58.19 -27.6 Fish Processing & Preservation 28 26.77 22.71 15.07 24.00 28.83 20.1 Edible Oils & Fats Production 42 275.92 299.44 367.25 360.16 341.32 -5.2 Dairy Production 10 441.68 426.02 422.35 339.09 338.26 -0.2 Grain Milling 9 515.45 502.22 481.50 475.41 530.47 11.6 Bakery Production 9 171.48 246.13 270.02 439.72 582.64 32.5 Sugar Processing 139 158.61 180.33 276.09 213.27 237.88 11.5 Coffee Processing 89 87.46 106.94 103.48 108.68 114.43 5.3 Tea Processing 68 153.16 161.45 143.57 114.44 157.56 37.7 5 91.71 113.20 95.22 94.53 111.41 17.9 Animal Feed Production 1 118.00 101.05 97.31 82.21 69.28 -15.7 201 266.40 261.35 288.28 290.07 287.35 -0.9 Beer Production 99 268.17 236.05 233.75 219.25 224.21 2.3 Soft Drinks & Bottled Water Production 69 392.78 423.93 505.67 531.58 516.57 -2.8 Tobacco Manufacturing 33 ***** ***** ***** ***** ***** ***** TEXTILES, CLOTHING AND FOOT WEAR 43 192.09 138.84 116.29 125.93 153.37 21.8 Cotton Ginning 12 351.04 151.46 102.85 123.67 190.59 54.1 Textile & Garment Manufacture 19 156.54 179.35 163.75 169.86 185.71 9.3 Leather & Footwear Production 11 73.76 55.11 50.01 53.09 55.89 5.3 SAWMILLING, PAPER AND PRINTING 35 234.38 248.91 222.67 246.47 251.72 2.1 Sawmilling, Papermaking, etc. 12 132.64 160.07 161.54 171.35 167.29 -2.4 Printing & Publishing 23 287.42 295.24 254.54 285.63 295.74 3.5 Other Food Processing DRINKS AND TOBACCO CHEMICALS, PAINT, SOAP & FOAM PRODUCTS 97 209.47 204.55 213.75 266.24 292.49 9.9 Chemical & Pharmaceutical Production 9 475.01 460.05 526.98 920.66 1148.29 24.7 Paint & Vanish Manufacturing 3 696.16 793.84 830.16 926.38 897.20 -3.1 Soap, Detergent, etc. Production 75 146.80 135.07 137.23 150.16 155.36 3.5 Foam Products Manufacturing 10 312.62 341.71 343.97 371.14 386.48 4.1 BRICKS & CEMENT 75 239.95 251.21 243.74 289.30 289.59 0.1 Bricks, Tiles & Other Ceramic Production 10 122.47 106.96 118.02 117.53 131.99 12.3 Cement & Lime Production 60 271.94 288.97 277.74 334.36 333.16 -0.4 5 97.07 93.90 93.55 100.88 90.03 -10.8 METAL PRODUCTS 83 140.00 148.71 155.83 166.97 162.98 -2.4 Iron and Steel Manufacturing 78 140.86 150.02 157.06 169.88 166.23 -2.1 5 125.96 127.08 135.66 119.23 109.56 -8.1 MISCELLANEOUS 66 152.66 161.33 190.59 200.09 214.24 7.1 Plastic Products Manufacturing 33 190.37 214.25 232.70 263.25 276.97 5.2 Furniture making 14 89.53 61.54 78.91 77.28 69.61 -9.9 Other Manufacturing nec 19 133.33 142.50 199.47 180.36 211.39 17.2 Concrete Articles Manufacturing Other Metal Production Source: Uganda Bureau of Statistics 191 Table 3.2 B: Index of Production (2002=100), Fiscal year 2011/12 - 2015/16 Percentage Description Years Weight TOTAL MANUFACTURING FOOD PROCESSING Change 2011/12 2012/13 2013/14 2014/15 2015/16 2015/16 1000 185.75 198.28 205.66 222.31 224.49 1.0 400 139.39 174.94 188.06 196.86 192.01 -2.5 Meat Preparation & Processing 2 160.38 94.42 129.31 97.92 66.23 -32.4 Fish Processing & Preservation 28 24.75 25.26 17.88 18.41 27.61 50.0 Edible Oils & Fats Production 42 274.67 277.47 332.81 372.81 349.22 -6.3 Dairy Production 10 412.89 441.07 423.38 383.77 321.53 -16.2 9 480.38 556.15 466.38 483.56 474.87 -1.8 Bakery Production 9 189.39 189.19 272.46 311.50 553.50 77.7 Sugar Processing 139 124.08 181.01 219.77 242.13 215.59 -11.0 Coffee Processing 89 84.20 105.46 106.22 96.87 112.19 15.8 Tea Processing 68 121.83 173.30 140.79 135.33 130.61 -3.5 Grain Milling Animal Feed Production 5 91.24 102.26 111.09 87.56 107.56 22.8 Other Food Processing 1 128.88 106.50 99.76 87.86 73.30 -16.6 DRINKS AND TOBACCO 201 262.68 263.31 274.30 294.64 280.04 -5.0 Beer Production 99 282.17 243.90 237.39 226.88 214.59 -5.4 Soft Drinks & Bottled Water Production 69 361.94 418.44 459.76 534.01 509.04 -4.7 Tobacco Manufacturing 33 ***** ***** ***** ***** ***** ***** WEAR 43 196.45 149.11 117.78 119.48 143.49 20.1 Cotton Ginning 12 344.80 177.68 101.58 106.43 152.44 43.2 Textile & Garment Manufacture 19 180.10 175.91 167.89 164.22 186.61 13.6 Leather & Footwear Production 11 57.14 70.89 50.09 57.48 59.40 3.3 SAWMILLING, PAPER AND PRINTING 35 209.51 251.71 230.96 229.62 247.61 7.8 Sawmilling, Papermaking, etc. 12 122.60 153.65 161.61 159.44 171.93 7.8 Printing & Publishing 23 254.83 302.84 267.12 266.20 287.08 7.8 97 218.09 202.73 201.21 238.35 297.18 24.7 9 491.95 446.48 450.16 719.23 1146.54 59.4 TEXTILES, CLOTHING CHEMICALS, PAINT, AND FOOT SOAP & FOAM PRODUCTS Chemical & Pharmaceutical Production 3 648.96 762.26 798.52 881.31 922.37 4.7 Soap, Detergent, etc. Production 75 154.12 136.69 132.43 142.99 158.50 10.8 Foam Products Manufacturing 10 338.41 332.39 336.95 350.23 403.48 15.2 BRICKS & CEMENT 75 245.26 244.24 244.35 277.89 282.28 1.6 Bricks, Tiles & Other Ceramic Production 10 134.36 112.96 107.58 121.62 121.78 0.1 Cement & Lime Production 60 274.06 279.23 280.41 319.35 325.52 1.9 5 127.20 93.64 92.10 100.83 92.66 -8.1 METAL PRODUCTS 83 137.88 147.11 150.21 173.09 156.58 -9.5 Iron and Steel Manufacturing 78 139.41 148.05 151.62 175.65 158.99 -9.5 Paint & Vanish Manufacturing Concrete Articles Manufacturing 5 112.86 131.65 127.11 130.96 117.03 -10.6 MISCELLANEOUS 66 157.54 150.03 178.02 193.30 204.79 5.9 Plastic Products Manufacturing 33 186.90 207.37 218.68 251.45 262.75 4.5 Furniture making 14 91.35 61.96 87.01 76.92 58.73 -23.6 Other Manufacturing nec 19 155.10 114.82 174.13 177.58 211.34 19.0 Other Metal Production Source: Uganda Bureau of Statistic 192 3.3 Energy Statistics Table 3.3.A: Annual imports of petroleum products (cubic meters), 2012-2016 YEAR Petrol Kerosene Diesel Jet Fuel Total 2012 495,668 74,266 644,431 - 1,214,366 2013 567,899 73,309 672,143 - 1,313,350 2014 644,265 67,165 727,417 - 1,438,847 2015 754,398 60,346 807,772 - 1,622,516 2016 811,712 59,874 857,031 120,902 1,849,520 7.6 percent -0.8 percent 6.1 percent Annual change 14.0 percent Source: Ministry of Energy and Mineral Development Table 3.3.B: Installed Electricity Capacity in MW (2012-2016) Plant Name 2012 2013 2014 2015 2016 Installed Capacity 718.4 827.5 885.0 895.5 895.5 Hydro Electricity 582.4 691.5 695.0 695.0 695.0 Kiira HPP 200 200 200 200 200 Nalubale HPP 180 180 180 180 180 Bujagali Energy Limited (BEL) 150 250 250 250 250 Kasese Cobalt (KCCL) 9.9 9.9 9.9 9.9 9.9 5 5 5 5 5 Bugoye Hydro Limited*** 13 13.0 13.0 13.0 13.0 AEMS Mpanga 18 18.0 18.0 18.0 18.0 Ishasha Ecopower 6.5 6.6 6.6 6.6 6.6 - 9.0 9.0 9.0 9.0 3.5 3.5 3.5 136 136 136 Tibet Hima Mining Co Ltd**** Kabalega Hydromax Buseruka Nyagak** Thermal Electricity 120 100 - - 20 50.0 86 86 86 Jacobsen Plant - Namanve 50 50 50 50 50 IDA Plant - Mutundwe 50 0 16 36 54 65 65 12 32 50 50 50 4 4 4 14.5 14.5 Lugogo Electromax Aggreko II - Kiira *Bagasse Electricity Kakira Sugar Limited Kinyara Sugar Works Limited Source: Electricity Regulatory Authority ** - Off-grid generation *** - Formerly Kilembe Mines Limited **** - Formerly Tronder Power Limited 193 Table 3.3 C: Total Number of consumers, 2012-2016 YEAR Domestic Commercial Industrial 2011 2012 2013 2014 2015 429,831 456,248 540,694 640,025 797,205 38,364 42,874 52,940 61,518 72,266 2,020 2,263 2,528 2,746 3,054 Street Lights TOTAL 327 369 359 348 311 470,542 501,754 596,521 704,637 872,836 6.6 18.9 18.1 23.9 ANNUAL CHANGE -percentage Source: Electricity Regulatory Authority Table 3.3 D: Annual Average Weighted Domestic Tariffs (Ug shs/kWh), 2012-2016 2012 2013 2014 2015 2016 UMEME 524.5 524.5 518.7 575.6 635.2 WENRECO 360.0 400.2 491.6 559.4 600.7 FERDSULT 490.7 512.2 512.0 511.9 511.9 KIL 427.7 509.1 515.3 517.3 586.9 BECS 416.9 515.5 515.5 515.5 608.3 PACMEC 400.0 424.7 530.1 561.6 581.6 KREC - - 524.9 524.9 547.5 KIS - - 518.7 566.2 671.0 UEDCL - - 518.4 575.6 635.2 KISIIZI - - 496.0 496.0 572.4 Annual average 436.6 481.0 514.1 540.4 595.1 Annual change 10.4 percent 10.2 percent 6.9 percent 5.1 percent 10.1 percent Source: Electricity Regulatory Authority Table 3.3 E: Annual Average Weighted Commercial Tariffs (Ug shs/kWh), 2012-2016 2012 2013 2014 2015 2016 UMEME 487.6 487.6 472.5 523.5 574.3 WENRECO 420.0 426.8 467.7 526.9 565.8 FERDSULT 456.9 479.8 478.5 477.2 477.2 KIL 400.7 400.8 400.8 400.8 530.0 BECS 375.0 375.0 453.5 479.7 546.4 PACMEC 375.0 384.0 497.7 532.6 540.7 KRECS 448.4 448.4 474.4 KIS 567.8 626.9 796.0 UEDCL 445.2 523.5 574.3 KISIIZI 496.0 496.0 572.4 425.7 472.8 503.6 565.2 1.5 percent 11.1 percent 6.5 percent 12.2 percent Annual average Annual change 419.2 Source: Electricity Regulatory Authority 194 Table 3.3 F: Annual Average Weighted Large Industrial Tariffs (Ug shs/kWh), 20122016 2012 2013 2014 2015 2016 UMEME 312.8 312.8 308.5 336.5 356.8 WENRECO 420.0 426.8 467.7 526.9 565.8 FERDSULT 328.2 341.6 329.2 316.8 316.8 Annual Weighted average 353.7 Annual change 360.4 368.4 393.4 413.1 1.9 percent 2.2 percent 6.8 percent 5.0 percent Source: Electricity Regulatory Authority 195 3.4 Mineral Statistics Table 3.4 A: Annual mineral Production by Quantity (Tonnes), 2012-2016 Mineral 2012 2013 2014 2015 2016 Limestone 936,264 922,372 1,090,240 979,660 1,203,074 Pozollana 650,324 623,471 742,423 686,564 846,604 Vermiculite 51,962 2,297 2,661 801 3,295 Kaolin 42,886 43,875 46,286 34,697 45,909 0.004 0.004 0.024 0.013 0.011 556 181 - - - - 567 - - - 43 72 80 45 52 20,472 109,906 64,604 82,716 81,413 4,431 2,282 41,959 9,000 2,163 Non Metallic Metallic Gold Cobalt Crude cobalt carbonate Wolfram Synthetic Aggregate Iron Ore Coltan (30 percent Purity) - - - 0.367 13 Tin (75 percent Purity) - 26 45 180 83 Beryl (1 percent Beryllium) - - - - 14 Source: Ministry of Energy and Mineral Development Table 3.4 B: Annual value of Mineral Production Value (UGX ’000,000), 2012-2016 Mineral 2012 2013 2014 2015 2016 Limestone 112,352 110,685 130,829 117,559 144,369 Pozollana 13,657 13,093 15,591 14,418 17,779 Vermiculite 30,086 1,330 1,541 463 1,908 4,289 4,388 4,629 3,470 4,591 1 620 3 1 1,396 44,702 24,228 - - - Non Metallic Kaolin Metallic Gold Cobalt Crude cobalt carbonate Wolfram Synthetic Aggregate Iron Ore - 798 - - - 1,501 2,503 2,753 1,570 1,808 31 165 97 124 122 1,202 619 11,383 2,442 587 Coltan (30 percent Purity) - - - 10 359 Tin (75 percent Purity) - 872 1,515 6,136 2,840 Beryl (1 percent Beryllium) - - - - 118 TOTAL 207,819 159,300 168,340 146,194 175,875 -23.3 percent 5.7 percent -13.2 percent 20.3 percent Source: Ministry of Energy and Mineral Development 196 3.5 Transport Statistics Table 3.5A: Number of Vehicles purchased by the Central Government, 2011 to 2015 YEAR 2011 2012 2013 2014 2015 TOTAL Cars 12 16 8 19 26 81 Pick ups 604 152 155 194 518 1623 8 - - - - 8 Vans Motor cycles 1,948 366 418 248 196 3,176 Lorries 24 15 2 1 15 57 Tractors 6 10 3 26 3 48 Trailers 7 2 29 28 - 66 138 95 90 108 170 601 - 96 - - 10 106 Equipment 4 137 1 8 12 162 Ambulances 12 30 4 3 32 81 Miini buses 22 13 20 11 25 91 Buses 13 5 - 5 7 30 Fork lift - - - - - 0 Water bouser - 12 - - - 12 Semi-trailer 1 6 - - - 7 Gabbeg trucks - - - - - 0 Low bed - 2 - - - 2 TOTAL 2799 957 730 651 1,014 6,151 Station wagons Tippers Table 3.5B: Number of Vehicles purchased by the Local Government, 2011 To 2015 Year Cars Pick ups 2011 2012 2013 2014 2015 TOTAL - - - - - 0 32 6 43 40 42 163 - - - - - 0 174 531 126 361 201 1,393 - - - - - 0 Tractors - 168 - - - 168 Trailers 3 166 - - - 169 Station wagons 7 - - 3 1 11 Tippers - 217 - - - 217 Vans M/cycles Lorries Equipment - 138 - - - 138 Ambulances 2 - - - 1 3 Miini buses - - - - - 0 Buses - - - - - 0 Fork lift - - - - - 0 Water bouser - - - - - 0 Semi-trailer - - - - - 0 Garbage trucks - 22 - - - 22 Low bed - - - - - 0 TOTAL 218 1248 169 404 245 2,284 Source: Ministry of works 197 3.6 Migration and Tourism Statistics Table 3.6 A: Total Arrival and Departures, 2012 – 2016 Period Arrivals Departures Resident Non Resident Total Resident Non Resident Total 2012 436,739 1,196,765 1,633,504 381,582 1,089,581 1,471,163 2013 477,584 1,206,334 1,683,918 378,212 1,187,710 1,565,922 2014 433,798 1,266,046 1,699,844 376,804 1,220,167 1,596,971 2015 426,728 1,302,802 1,729,530 399,393 1,310,199 1,709,592 2016 479,247 1,322,522 1,801,769 527,113 1,359,421 1,886,534 2012 436,739 1,196,765 1,633,504 381,582 1,089,581 1,471,163 Qtr1 100,481 305,606 406,087 90,374 266,290 356,664 Qtr2 102,229 298,292 400,521 99,348 277,604 376,952 Qtr3 116,157 317,675 433,832 103,352 290,089 393,441 Qtr4 117,872 275,192 393,064 88,508 255,598 344,106 2013 477,584 1,206,334 1,683,918 378,212 1,187,710 1,565,922 Qtr1 111,562 277,353 388,915 89,808 260,085 349,893 Qtr2 113,000 299,263 412,263 92,001 279,426 371,427 Qtr3 128,707 325,015 453,722 100,323 322,488 422,811 Qtr4 124,315 304,703 429,018 96,080 325,711 421,791 2014 433,798 1,266,046 1,699,844 376,804 1,220,167 1,596,971 Qtr1 111,562 303,298 414,860 75,865 257,004 332,869 Qtr2 107,570 307,044 414,614 89,972 292,312 382,284 Qtr3 110,592 338,563 449,155 107,675 345,458 453,133 Qtr4 104,074 317,141 421,215 103,292 325,393 428,685 2015 426,728 1,302,802 1,729,530 399,393 1,310,199 1,709,592 Qtr1 103,148 323,782 426,930 89,192 298,081 387,273 Qtr2 105,766 316,161 421,927 85,678 336,897 422,575 Qtr3 107,675 337,138 444,813 102,946 336,476 439,422 Qtr4 110,139 325,721 435,860 121,577 338,745 460,322 2016 479,247 1,322,522 1,801,769 527,113 1,359,421 1,886,534 Qtr1 126,208 336,808 463,016 134,440 336,227 470,667 Qtr2 103,896 300,696 404,592 125,323 331,652 456,975 Qtr3 127,038 350,046 477,084 137,289 339,114 476,403 Qtr4 122,105 334,972 457,077 130,061 352,428 482,489 Year Quarters Source: Uganda Bureau of Statistics 198 Table 3.6 B: Total Arrival and Departures by Migration Posts and residence status, 2016 Arrivals Migration Post Departures Resident Non Resident Total Resident Non Resident Total Entebbe 254,453 432,282 686,735 229,690 478,431 708,121 Katuna 71,339 254,458 325,797 68,375 291,195 359,570 Busia 56,572 206,734 263,306 68,082 186,200 254,282 Malaba 26,378 121,508 147,886 56,434 97,734 154,168 Cyanika 11,742 104,509 116,251 27,328 98,907 126,235 Mirama Hills 30,610 55,604 86,214 44,120 46,102 90,222 Mutukula 14,054 60,850 74,904 15,999 61,721 77,720 Elegu/Atiaka 4,755 25,094 29,849 8,331 36,818 45,149 Mpondwe 2,887 31,557 34,444 2,424 32,510 34,934 Bunagana 2,250 9,705 11,955 2,371 8,156 10,527 Vvura 831 4,905 5,736 723 3,864 4,587 Goli 280 3,341 3,621 387 4,013 4,400 Oraba 476 2,562 3,038 364 2,496 2,860 Lia 298 1,815 2,113 443 2,778 3,221 Paidha 163 1,630 1,793 81 3,213 3,294 Afogi 238 1,281 1,519 275 1,816 2,091 Suam River 500 1,382 1,882 706 774 1,480 Lwakhaka 452 1,022 1,474 752 650 1,402 Others Total 969 2,283 3,252 228 2,043 2,271 479,247 1,322,522 1,801,769 527,113 1,359,421 1,886,534 Note: Immigration posts where cards were inconsistently used are recorded under Category ‘other’. These are Kikagati, Ishasha River and Lia. Source: Uganda Bureau of Statistics Table 3.6 C: Total Arrival and Departures by Migration Posts and residence status, 2015 Arrivals Migration Post Resident Departures Non Resident Total Resident Non Resident Total Entebbe 221,116 402,207 623,323 190,018 418,619 608,637 Katuna 72,547 257,611 330,158 68,609 310,906 379,515 Busia 66,907 251,261 318,168 60,387 230,918 291,305 Malaba 23,401 141,258 164,659 36,837 153,913 190,750 Cyanika 6,040 68,189 74,229 5,428 20,697 26,125 Mutukula 11,219 61,405 72,624 11,516 52,103 63,619 Elegu/Atiaka 11,667 39,760 51,427 10,254 47,005 57,259 Mpondwe 3,669 29,868 33,537 2,784 25,499 28,283 Mirama Hills 4,037 27,900 31,937 8,878 26,707 35,585 Oraba 1,815 5,371 7,186 1,000 5,472 6,472 Vvura 831 4,905 5,736 723 3,864 4,587 Bunagana 1,227 4,358 5,585 282 5,776 6,058 Goli 254 3,028 3,282 319 3,099 3,418 Kikagati 840 1,451 2,291 946 1,412 2,358 Afogi 390 1,452 1,842 282 1,383 1,665 Lwakhaka 452 1,022 1,474 746 656 1,402 Paidha Suam River Total 66 1,065 1,131 32 1,782 1,814 250 691 941 352 388 740 426,728 1,302,802 1,729,530 399,393 1,310,199 1,709,592 Source: Uganda Bureau of Statistics 199 Table 3.6 D: Total Arrival and Departures by Sex, 2012 – 2016 Period Arrivals Male Female Departures Not Total Male Female Stated Year Not Total Stated 2012 1,131,435 500,294 1,775 1,633,504 1,164,748 304,960 1,455 1,471,163 2013 1,318,847 364,083 988 1,683,918 1,272,600 292,771 551 1,565,922 2014 1,375,183 323,886 775 1,699,844 1,286,328 310,023 620 1,596,971 2015 1,273,972 453,183 2,375 1,729,530 1,382,252 325,734 1,606 1,709,592 2016 1,266,897 532,736 2,136 1,801,769 1,440,652 443,637 2,245 1,886,534 2012 1,131,435 500,294 1,775 1,633,504 1,164,748 304,960 1,455 1,471,163 Qtr1 278,190 123,041 466 406,087 283,431 72,881 352 356,664 Qtr2 280,201 119,734 586 400,521 298,499 78,017 436 376,952 Qtr3 296,810 144,607 431 433,832 317,068 83,966 338 401,372 Qtr4 276,234 112,912 292 393,064 265,750 70,096 329 336,175 2013 1,318,847 364,083 988 1,683,918 1,272,600 292,771 551 1,565,922 Qtr1 295,699 92,888 328 388,915 285,714 64,009 170 349,893 Qtr2 320,670 91,477 116 412,263 297,678 73,676 73 371,427 Qtr3 350,101 103,506 115 453,722 330,280 92,436 95 422,811 Qtr4 352,377 76,212 429 429,018 358,928 62,650 213 421,791 2014 1,375,183 323,886 775 1,699,844 1,286,328 310,023 620 1,596,971 Qtr1 351,396 63,260 204 414,860 275,333 57,481 55 332,869 Qtr2 330,961 83,414 239 414,614 309,994 72,126 164 382,284 Qtr3 352,802 96,131 222 449,155 364,447 88,477 209 453,133 Qtr4 340,024 81,081 110 421,215 336,554 91,939 192 428,685 2015 1,273,972 453,183 2,375 1,729,530 1,382,252 325,734 1,606 1,709,592 Qtr1 326,182 100,113 635 426,930 316,209 70,756 308 387,273 Qtr2 303,390 117,854 683 421,927 353,384 68,695 496 422,575 Qtr3 325,493 118,785 535 444,813 350,226 88,816 380 439,422 Qtr4 318,907 116,431 522 435,860 362,433 97,467 422 460,322 2016 1,266,897 532,736 2,136 1,801,769 1,440,652 443,637 2,245 1,886,534 Qtr1 339,002 123,768 246 463,016 379,771 90,650 246 470,667 Qtr2 287,056 116,893 643 404,592 347,466 108,857 652 456,975 Qtr3 328,786 147,381 917 477,084 349,381 126,144 878 476,403 Qtr4 312,053 144,694 330 457,077 364,034 117,986 469 482,489 Quarters Source: Uganda Bureau of Statistics 200 Table 3.6 E: Migration Statistics: Entebbe Arrivals, 2012 – 2016 Ugandans Non Ugandans Non Residents Grand Residents Total Resident Non Residents Total Others & Period Western Other North Europe Europe America COMESA Other Not Africa Stated Total Year 2012 165,145 16,380 181,525 40,369 91,047 7,804 58,295 99,955 54,825 87,609 439,904 621,429 2013 192,890 14,533 207,423 34,733 90,040 6,954 58,573 99,672 60,125 93,311 443,408 650,831 2014 199,045 15,046 214,091 40,574 87,013 9,101 64,342 109,791 77,576 80,611 469,008 683,099 2015 177,162 16,882 194,044 43,954 86,283 7,399 51,594 86,131 78,234 75,684 429,279 623,323 2016 209,537 25,714 235,251 44,916 90,418 7,522 60,574 95,527 70,640 81,887 451,484 686,735 Qtr1 33,747 3,625 37,372 12,308 23,849 2,376 14,338 29,358 11,771 18,362 112,362 149,734 Qtr2 38,627 4,027 42,654 9,234 20,039 2,108 16,849 23,183 14,405 22,260 108,078 150,732 Qtr3 45,002 4,670 49,672 11,855 27,864 1,948 16,045 25,410 16,075 26,150 125,347 175,019 Qtr4 47,769 4,058 51,827 6,972 19,295 1,372 11,063 22,002 12,574 20,837 94,115 145,942 43,253 3,440 46,693 9,782 24,989 1,836 14,600 25,391 13,461 24,450 114,509 161,202 8,072 19,591 1,731 15,032 26,359 15,509 23,609 109,903 160,629 Quarters 2012 2013 Qtr1 Qtr2 47,535 3,191 50,726 Qtr3 53,192 3,473 56,665 8,880 24,862 1,722 16,658 25,131 16,705 22,733 116,691 173,356 Qtr4 48,910 4,429 53,339 7,999 20,598 1,665 12,283 22,791 14,450 22,519 102,305 155,644 Qtr1 59,532 2,409 61,941 9,416 24,290 2,913 19,925 38,800 20,862 24,557 140,763 202,704 Qtr2 50,721 4,244 54,965 10,262 19,286 2,292 16,775 26,934 20,455 20,070 116,074 171,039 Qtr3 44,523 3,753 48,276 12,593 24,863 2,043 16,463 24,735 18,241 18,692 117,630 165,906 Qtr4 44,269 4,640 48,909 8,303 18,574 1,853 11,179 19,322 18,018 17,292 94,541 143,450 Qtr1 41,829 4,116 45,945 13,288 22,673 2,314 14,069 22,380 24,651 19,061 118,436 164,381 Qtr2 44,269 3,629 47,898 10,617 18,904 1,881 12,472 22,450 17,649 18,506 102,479 150,377 Qtr3 44,396 3,708 48,104 10,502 22,618 1,624 12,813 21,410 18,874 18,812 106,653 154,757 Qtr4 46,668 5,429 52,097 9,547 22,088 1,580 12,240 19,891 17,060 19,305 101,711 153,808 Qtr1 58,967 8,198 67,165 14,669 26,674 2,467 17,094 26,711 20,454 22,921 130,990 198,155 Qtr2 43,769 5,204 48,973 8,837 16,597 1,303 13,619 19,803 14,112 18,736 93,007 141,980 Qtr3 56,021 4,908 60,929 10,228 25,246 1,803 15,441 24,394 17,293 20,290 114,695 175,624 Qtr4 50,780 7,404 58,184 11,182 21,901 1,949 14,420 24,619 18,781 19,940 112,792 170,976 2014 2015 2016 Source: Uganda Bureau of Statistics 201 Table 3.6 F: Migration Statistics: Entebbe Departures, 2012 – 2016 Ugandans Non Ugandans Non Residents Grand Residents Total Resident Non Residents Total Others Period Western Other North Europe Europe America Other & Not COMESA Africa Stated Total Year 2012 140,259 13,425 153,684 36,597 82,094 7,103 53,456 90,772 44,697 77,501 392,220 545,904 2013 142,616 16,961 159,577 33,176 90,718 6,667 53,324 95,459 52,948 84,053 416,345 575,922 2014 137,076 11,726 148,802 31,155 78,952 6,982 49,107 110,018 65,692 66,297 408,203 557,005 2015 157,302 14,490 171,792 32,716 75,200 7,222 47,263 136,696 67,081 70,667 436,845 608,637 2016 194,579 13,154 207,733 35,111 99,955 7,214 56,273 154,285 64,568 82,982 500,388 708,121 Quarters 2012 Qtr1 33,217 4,133 37,350 7,417 21,360 2,080 13,401 24,852 10,757 16,996 96,863 134,213 Qtr2 36,032 2,873 38,905 9,420 18,750 1,882 14,191 22,175 12,055 20,376 98,849 137,754 Qtr3 39,648 3,360 43,008 9,380 25,861 1,773 16,659 22,881 11,975 21,917 110,446 153,454 Qtr4 31,362 3,059 34,421 10,380 16,123 1,368 9,205 20,864 9,910 18,212 86,062 120,483 Qtr1 32,652 4,877 37,529 8,724 24,089 1,963 12,895 21,849 11,672 21,301 102,493 140,022 Qtr2 36,288 3,309 39,597 8,775 21,392 1,626 13,772 24,253 12,701 20,641 103,160 142,757 Qtr3 37,627 4,872 42,499 8,152 25,385 1,552 16,085 22,566 14,501 21,544 109,785 152,284 Qtr4 36,049 3,903 39,952 7,525 19,852 1,526 10,572 26,791 14,074 20,567 100,907 140,859 Qtr1 28,068 3,366 31,434 6,216 18,149 1,711 10,890 27,514 13,783 14,648 92,911 124,345 Qtr2 32,807 2,403 35,210 8,042 17,970 1,788 12,501 27,679 15,402 15,613 98,995 134,205 Qtr3 40,760 3,560 44,320 7,707 25,697 1,898 16,126 31,405 16,131 18,823 117,787 162,107 Qtr4 35,441 2,397 37,838 9,190 17,136 1,585 9,590 23,420 20,376 17,213 98,510 136,348 Qtr1 37,032 5,200 42,232 7,430 20,727 1,753 12,436 27,748 16,490 16,138 102,722 144,954 Qtr2 32,771 2,119 34,890 6,819 14,359 1,727 10,202 42,892 15,252 15,681 106,932 141,822 Qtr3 40,075 3,574 43,649 7,764 20,900 1,730 13,158 33,451 16,994 17,856 111,853 155,502 Qtr4 47,424 3,597 51,021 10,703 19,214 2,012 11,467 32,605 18,345 20,992 115,338 166,359 Qtr1 50,823 2,676 53,499 9,628 24,332 2,045 15,131 41,993 16,367 22,252 131,748 185,247 Qtr2 44,757 3,106 47,863 8,814 24,620 1,658 14,467 37,724 15,899 20,203 123,385 171,248 Qtr3 54,331 3,832 58,163 9,578 26,066 1,679 13,738 35,518 16,934 21,221 124,734 182,897 Qtr4 44,668 3,540 48,208 7,091 24,937 1,832 12,937 39,050 15,368 19,306 120,521 168,729 2013 2014 2015 2016 Source: Uganda Bureau of Statistics 202 Table 3.6 G: Migration Statistics: Malaba and Busia Arrivals, 2012 – 2016 Ugandans Residents Non Non Ugandans Total Residents Non Residents Grand Residents Total Others Period Western Other North Other Europe Europe America COMESA Africa & Not Stated Total Year 2012 81,834 3,673 85,507 10,605 3,289 292 2,801 298,332 20,696 10,698 346,713 432,220 2013 85,575 2,610 88,185 6,809 3,395 428 2,768 295,084 22,667 4,207 335,358 423,543 2014 67,655 2,421 70,076 7,784 4,021 371 2,639 278,291 22,938 4,420 320,464 390,540 2015 76,915 3,187 80,102 13,393 3,869 431 2,621 350,974 27,374 4,063 402,725 482,827 2016 71,731 22,951 94,682 11,219 3,672 382 2,469 272,676 21,555 4,537 316,510 411,192 Qtr1 18,390 717 19,107 2,549 834 90 616 72,589 6,309 2,810 85,797 104,904 Qtr2 17,969 978 18,947 2,947 716 60 699 73,293 4,640 2,562 84,917 103,864 Qtr3 23,305 989 24,294 2,889 1,006 93 973 77,917 5,373 2,986 91,237 115,531 Qtr4 22,170 989 23,159 2,220 733 49 513 74,533 4,374 2,340 84,762 107,921 Qtr1 21,368 649 22,017 1,970 830 116 627 68,263 6,206 966 78,978 100,995 Qtr2 20,148 667 20,815 1,525 920 87 676 75,662 5,775 1,206 85,851 106,666 Qtr3 25,042 703 25,745 2,126 1,048 102 888 81,186 5,724 1,227 92,301 118,046 Qtr4 19,017 591 19,608 1,188 597 123 577 69,973 4,962 808 78,228 97,836 Qtr1 14,457 372 14,829 1,556 1,074 97 650 55,155 4,846 1,058 64,436 79,265 Qtr2 16,233 440 16,673 1,771 1,019 76 661 64,654 5,719 1,227 75,127 91,800 Qtr3 18,017 748 18,765 2,243 1,111 113 766 77,879 6,444 1,181 89,737 108,502 Qtr4 18,948 861 19,809 2,214 817 85 562 80,603 5,929 954 91,164 110,973 Qtr1 17,199 662 17,861 3,108 882 77 688 81,163 8,413 801 95,132 112,993 Qtr2 19,244 860 20,104 3,135 832 99 600 88,415 7,115 1,006 101,202 121,306 Qtr3 18,524 625 19,149 3,147 1,088 93 672 86,062 5,717 1,016 97,795 116,944 Qtr4 21,948 1,040 22,988 4,003 1,067 162 661 95,334 6,129 1,240 108,596 131,584 14,355 5,646 20,001 4,038 794 85 562 69,404 5,667 845 81,395 101,396 2,170 95,894 Quarters 2012 2013 2014 2015 2016 Qtr1 Qtr2 16,070 5,069 21,139 Qtr3 18,139 6,129 24,268 Qtr4 23,167 6,107 29,274 769 108 562 64,513 5,608 1,025 74,755 2,141 931 116 608 66,749 4,456 1,272 76,273 100,541 2,870 1,178 73 737 72,010 5,824 1,395 84,087 113,361 203 Table 3.6 H: Migration Statistics: Malaba and Busia Departures, 2012 – 2016 Ugandans Resident Non Non Ugandans Total Residents Non Residents Residents Grand Others Period Western Other North Europe Europe America Total Other & Not COMESA Africa Stated Total Year 2012 79,198 2,366 81,564 10,211 3,787 198 3,228 266,890 19,736 12,539 316,589 398,153 2013 71,922 2,264 74,186 7,452 3,964 514 3,057 274,944 24,159 4,758 318,848 393,034 2014 73,799 2,136 75,935 6,628 4,606 825 2,846 268,801 23,376 3,968 311,050 386,985 2015 84,879 2,810 87,689 12,345 3,245 1,521 2,759 349,632 20,679 4,185 394,366 482,055 2016 110,828 2,903 113,731 13,688 4,399 837 2,461 246,364 21,437 5,533 294,719 408,450 Qtr1 19,221 722 19,943 2,154 1,028 67 656 62,885 3,840 3,043 73,673 93,616 Qtr2 20,201 593 20,794 2,941 775 41 870 64,845 4,842 3,159 77,473 98,267 Qtr3 22,334 675 23,009 2,879 1,250 52 1,061 72,383 5,031 3,590 86,246 109,255 Qtr4 17,442 376 17,818 2,237 734 38 641 66,777 6,023 2,747 79,197 97,015 Qtr1 17,865 710 18,575 1,658 916 111 804 59,586 5429 1211 69,715 88,290 Qtr2 17,498 513 18,011 1,848 904 116 752 64,796 6342 1071 75,829 93,840 Qtr3 20,321 574 20,895 2,216 1274 140 903 75,602 5,755 1382 87,272 108,167 Qtr4 16,238 467 16,705 1,730 870 147 598 74,960 6633 1094 86,032 102,737 Qtr1 14,070 455 14,525 1,185 1,129 194 709 50,337 4,812 898 59,264 73,789 Qtr2 18,566 476 19,042 1,597 1,141 198 738 66,138 6,162 900 76,874 95,916 Qtr3 19,915 584 20,499 1,581 1,321 309 792 73,391 5,483 1,237 84,114 104,613 Qtr4 21,248 621 21,869 2,265 1,015 124 607 78,935 6,919 933 90,798 112,667 Qtr1 19,294 806 20,100 1,822 942 290 780 76,156 5,327 901 86,218 106,318 Qtr2 20,375 717 21,092 2,938 603 629 657 102,874 5,040 1,059 113,800 134,892 Qtr3 20,110 600 20,710 3,092 961 359 703 81,339 4,433 1,086 91,973 112,683 Qtr4 25,100 687 25,787 4,493 739 243 619 89,263 5,879 1,139 102,375 128,162 Qtr1 27,976 1,014 28,990 5,066 864 86 606 63,331 5,084 865 75,902 104,892 Qtr2 25,907 713 26,620 3,086 791 151 610 56,380 4,880 1,105 67,003 93,623 Qtr3 25,025 584 25,609 2,904 1,279 283 575 61,400 5,059 1,735 73,235 98,844 Qtr4 31,920 592 32,512 2,632 1,465 317 670 65,253 6,414 1,828 78,579 111,091 Quarters 2012 2013 2014 2015 2016 Source: Uganda Bureau of Statistics 204 Table 3.6 I: Migration Statistics: Katuna Arrivals, 2012 – 2016 Ugandans Resident Non Residents Non Ugandans Total Residents Non Residents Grand Others Period Western Other North Europe Europe America Other & Not COMESA Africa Stated Total Total Year 2012 75,199 3,909 79,108 6,730 2,522 314 1,960 247,284 2,927 4,856 266,593 345,701 2013 87,999 2,432 90,431 5,707 1,832 312 1,747 222,683 3,148 1,993 237,422 327,853 2014 75,103 2,830 77,933 7,309 2,157 537 1,810 263,921 1,830 2,322 279,886 357,819 2015 60,580 2,972 63,552 11,967 1,985 263 1,559 247,242 1,914 1,676 266,606 330,158 2016 58,676 2,324 61,000 691 120 20 1,791 243,972 1,931 1,618 264,797 325,797 Qtr1 17,911 811 18,722 1,838 701 100 568 65,646 872 1,331 71,056 89,778 Qtr2 16,588 887 17,475 1,715 540 64 445 61,438 613 1,372 66,187 83,662 Qtr3 18,820 1,254 20,074 1,900 806 78 583 65,609 863 1,579 71,418 91,492 Qtr4 21,880 957 22,837 1,277 475 72 364 54,591 579 574 57,932 80,769 Qtr1 20,765 800 21,565 1,363 432 100 355 43,769 545 767 47,331 68,896 Qtr2 20,710 577 21,287 1,418 430 55 450 53,934 779 312 57,378 78,665 Qtr3 21,279 449 21,728 1,677 556 70 526 61,974 1,239 390 66,432 88,160 Qtr4 25,245 606 25,851 1,249 414 87 416 63,006 585 524 66,281 92,132 Qtr1 18,440 389 18,829 1,254 379 96 388 62,134 410 1,195 65,856 84,685 Qtr2 16,826 542 17,368 1,547 473 121 520 59,991 444 437 63,533 80,901 Qtr3 20,484 922 21,406 2,309 767 172 545 72,886 513 385 77,577 98,983 Qtr4 19,353 977 20,330 2,199 538 148 357 68,910 463 305 72,920 93,250 Qtr1 14,079 790 14,869 2,166 507 71 373 57,239 464 368 61,188 76,057 Qtr2 16,253 920 17,173 2,633 561 74 396 63,235 517 456 67,872 85,045 Qtr3 16,666 715 17,381 3,569 535 71 445 68,990 500 465 74,575 91,956 Qtr4 13,582 547 14,129 3,599 382 47 345 57,778 433 387 62,971 77,100 Qtr1 13,562 510 14,072 0 0 0 447 55,666 394 419 60,869 74,941 Qtr2 14,389 578 14,967 165 36 7 368 60,299 536 323 64,940 79,907 Qtr3 15,673 622 16,295 1,230 196 32 460 67,274 542 468 72,932 89,227 Qtr4 15,052 614 15,666 985 175 34 516 60,733 459 408 66,056 81,722 Quarters 2012 2013 2014 2015 2016 Source: Uganda Bureau of Statistics 205 Table 3.6 J: Migration Statistics: Katuna Departures, 2012 – 2016 Ugandans Resident Non Non Ugandans Total Residents Non Residents Residents Grand Others Period Western Other North Europe Europe America Other & Not COMESA Africa Stated Total Total Year 2012 58,593 2,511 61,104 4,286 2,353 172 1,817 206,954 1,943 4,472 221,997 283,101 2013 55,942 2,608 58,550 4,699 2,077 276 1,657 221,870 2,569 1,760 234,908 293,458 2014 66,537 2,457 68,994 4,568 2,453 356 1,741 258,465 2,097 1,613 271,293 340,287 2015 58,193 2,430 60,623 10,416 2,128 695 1,513 300,425 2,107 1,608 318,892 379,515 2016 58,709 2,662 61,371 7,879 2,746 438 2,019 278,470 2,081 2,007 298,199 359,570 Qtr1 14,596 705 15,301 863 583 44 516 50,679 545 1,022 54,252 69,553 Qtr2 16,020 705 16,725 1,235 605 40 496 56,910 493 1,463 61,242 77,967 Qtr3 15,046 642 15,688 1,147 738 44 529 51,724 495 1,394 56,071 71,759 Qtr4 12,931 459 13,390 1,041 427 44 276 47,641 410 593 50,432 63,822 Qtr1 14,036 684 14,720 879 434 72 399 38,829 391 408 41,412 56,132 Qtr2 12,882 682 13,564 1,276 494 39 409 55,452 923 379 58,972 72,536 Qtr3 13,031 586 13,617 1,115 584 52 499 56,324 629 464 59,667 73,284 Qtr4 15,993 656 16,649 1,429 565 113 350 71,265 626 509 74,857 91,506 Qtr1 14,198 485 14,683 1,062 509 51 397 55,891 471 441 58,822 73,505 Qtr2 14,910 601 15,511 1,141 475 65 427 56,968 438 348 59,862 75,373 Qtr3 19,537 727 20,264 923 906 123 586 72,359 603 474 75,974 96,238 Qtr4 17,892 644 18,536 1,442 563 117 331 73,247 585 350 76,635 95,171 Qtr1 11,171 470 11,641 1,419 467 159 327 65,097 452 321 68,242 79,883 Qtr2 12,420 647 13,067 1,496 494 218 373 75,014 488 411 78,494 91,561 Qtr3 18,356 818 19,174 2,688 685 152 447 85,114 626 484 90,196 109,370 Qtr4 16,246 495 16,741 4,813 482 166 366 75,200 541 392 81,960 98,701 Qtr1 13,376 582 13,958 660 165 20 507 64,625 487 454 69,477 83,435 Qtr2 14,975 687 15,662 2,290 837 117 435 71,446 539 507 76,171 91,833 2,459 709 136 464 66,006 524 447 70,745 86,739 2,470 1,035 165 613 76,393 531 599 81,806 97,563 Quarters 2012 2013 2014 2015 2016 Qtr3 15,322 672 15,994 Qtr4 15,036 721 15,757 Source: Uganda Bureau of Statistics 206 Table 3.6 K: Mutukula, Elegu, Western, WestNile and Northern borders points Arrivals, 2012 – 2016 Ugandans Residents Non Non Ugandans Total Residents Non Residents Residents Grand Others Period Western Other North Europe Europe America Total Other & Not COMESA Africa Stated Total Year 2012 52,131 1,872 54,003 4,725 2,876 230 1,772 106,424 47,602 16,522 180,151 234,154 2013 59,301 1,418 60,719 4,570 2,935 541 1,933 144,255 61,008 5,731 220,973 281,692 2014 29,919 1,725 31,644 6,409 4,309 326 1,589 173,470 48,347 2,292 236,742 268,386 2015 35,369 1,481 36,850 7,388 2,896 208 1,399 163,394 75,796 5,291 256,372 293,222 2016 61,896 939 62,835 8,609 3,546 161 2,078 229,765 68,487 2,564 315,210 378,045 Qtr1 11,325 475 11,800 1,383 858 78 372 26,778 11,745 4,267 45,481 57,281 Qtr2 13,899 540 14,439 1,250 691 74 577 27,197 13,495 4,540 47,824 62,263 Qtr3 13,309 489 13,798 1,183 685 56 487 26,361 13,116 4,119 46,007 59,805 Qtr4 13,598 368 13,966 909 642 22 336 26,088 9,246 3,596 40,839 54,805 Qtr1 11,948 320 12,268 1,113 531 109 276 30,080 12,789 656 45,554 57,822 Qtr2 12,621 305 12,926 971 472 96 409 33,228 15,719 2,482 53,377 66,303 Qtr3 15,413 382 15,795 1,098 949 167 620 37,373 17,127 1,026 58,365 74,160 Qtr4 19,319 411 19,730 1,388 983 169 628 43,574 15,373 1,567 63,677 83,407 Qtr1 5,630 284 5,914 1,277 1,021 57 449 29,445 9,424 619 42,292 48,206 Qtr2 8,475 423 8,898 1,735 1,357 81 492 42,637 15,121 553 61,976 70,874 Qtr3 8,650 512 9,162 1,773 985 89 355 49,079 13,766 555 66,602 75,764 Qtr4 7,164 506 7,670 1,624 946 99 293 52,309 10,036 565 65,872 73,542 Qtr1 9,642 414 10,056 1,837 767 53 353 34,887 24,151 1,395 63,443 73,499 Qtr2 7,925 343 8,268 1,690 478 28 313 39,477 13,853 1,092 56,931 65,199 Qtr3 8,838 399 9,237 2,033 956 83 392 48,560 18,420 1,475 71,919 81,156 Qtr4 8,964 325 9,289 1,828 695 44 341 40,470 19,372 1,329 64,079 73,368 Qtr1 15,255 240 15,495 2,174 1,030 37 551 52,498 16,207 532 73,029 88,524 Qtr2 13,989 227 14,216 1,817 654 31 492 52,386 16,670 545 72,595 86,811 2,750 1,029 64 570 67,327 20,181 821 92,742 111,692 1,868 833 29 465 57,554 15,429 666 76,844 91,018 Quarters 2012 2013 2014 2015 2016 Qtr3 18,675 275 18,950 Qtr4 13,977 197 14,174 Source: Uganda Bureau of Statistics 207 Table 3.6 L: Mutukula, Elegu, Other West and Northern borders points Departures, 2012 – 2016 Ugandans Residents Non Non Ugandans Total Residents Non Residents Residents Grand Others Period West Other North Europe Europe America Total Other & Not COMESA Africa Stated Total Year 2012 47,318 2,233 49,551 5,119 3,786 261 1,875 122,552 42,354 18,507 194,454 244,005 2013 57,679 1,624 59,303 4,726 5,496 748 2,483 156,395 71,546 2,811 244,205 303,508 2014 52,115 2,217 54,332 4,926 4,306 456 2,191 187,264 55,301 3,918 258,362 312,694 2015 38,622 1,361 39,983 4,920 2,436 140 1,313 115,837 70,082 4,674 199,402 239,385 2016 95,453 1,322 96,775 9,079 4,788 410 2,560 220,660 73,547 2,574 313,618 410,393 Qtr1 11,659 576 12,235 1,247 1,049 85 432 30,910 9,126 4,198 47,047 59,282 Qtr2 12,159 714 12,873 1,340 764 28 524 30,478 12,417 4,540 50,091 62,964 Qtr3 12,910 553 13,463 1,298 1,094 52 460 34,783 11,143 4,563 53,393 66,856 Qtr4 10,590 390 10,980 1,234 879 96 459 26,381 9,668 5,206 43,923 54,903 Qtr1 13,105 362 13,467 889 937 220 507 33,619 15,228 582 51,982 65,449 Qtr2 12,213 405 12,618 1,221 764 74 475 31,476 15,201 465 49,676 62,294 Qtr3 16,746 449 17,195 1,115 2,281 209 896 47,096 19,369 915 71,881 89,076 Qtr4 15,615 408 16,023 1,501 1,514 245 605 44,204 21,748 849 70,666 86,689 Qtr1 10,114 455 10,569 952 877 113 593 32,015 14,792 1,258 50,600 61,169 Qtr2 11,623 528 12,151 1,286 842 111 519 46,773 14,309 830 64,670 76,821 Qtr3 15,806 686 16,492 1,446 1,509 120 638 53,365 15,694 911 73,683 90,175 Qtr4 14,572 548 15,120 1,242 1,078 112 441 55,111 10,506 919 69,409 84,529 Qtr1 9,898 428 10,326 1,126 779 36 383 24,211 17,928 1,329 45,792 56,118 Qtr2 7,822 321 8,143 1,037 422 19 266 30,764 12,631 1,018 46,157 54,300 Qtr3 9,527 351 9,878 1,334 643 39 358 31,780 16,505 1,330 51,989 61,867 Qtr4 11,375 261 11,636 1,423 592 46 306 29,082 23,018 997 55,464 67,100 Qtr1 23,333 394 23,727 1,791 1,300 104 550 50,831 18,198 592 73,366 97,093 Qtr2 23,048 341 23,389 2,446 866 90 570 51,998 20,447 465 76,882 100,271 Qtr3 24,751 327 25,078 2,919 1,380 97 703 59,631 17,367 748 82,845 107,923 260 24,581 769 80,525 105,106 Quarters 2012 2013 2014 2015 2016 Qtr4 24,321 1,923 1,242 119 737 58,200 17,535 Source: Uganda Bureau of Statistics 208 Table 3.6 M: Tourist/ Visitor Arrivals by Country of Usual residence, 2012 – 2016 Country of Residence Africa 2012 2013 2014 2015 2016 929,569 935,983 988,641 1,046,968 1,047,013 Egypt 2,080 2,494 2,658 2,644 3,211 Ethiopia 6,466 5,432 6,099 6,298 7,020 Kenya 393,369 380,614 360,664 409,417 352,817 Rwanda 256,004 280,431 348,175 300,747 362,865 Sudan 43,258 40,067 49,281 45,221 35,353 Tanzania 79,795 74,485 57,197 95,933 86,091 DR Congo Other Africa America 42,604 49,925 55,628 79,430 90,148 105,993 102,535 108,939 107,278 109,508 70,749 73,075 76,616 61,583 71,078 Canada 10,186 9,729 10,424 9,124 9,863 USA 55,912 56,766 60,226 49,414 57,959 4,651 6,580 5,966 3,045 3,256 Other America Asia 61,192 66,814 70,002 65,959 72,837 China 8,645 10,792 14,633 17,051 19,175 India 24,849 28,647 29,620 26,671 30,210 Japan 4,186 3,889 4,029 3,179 3,791 Pakistan 2,950 3,085 2,419 2,864 3,790 20,562 20,401 19,301 16,194 15,871 108,364 108,641 110,476 106,630 110,316 Austria 2,132 1,724 5,623 3,574 3,245 Belgium 5,094 5,050 5,045 4,623 5,240 383 536 404 497 877 3,890 3,426 3,513 4,360 5,404 642 490 612 512 450 Other Asia Europe Czechoslovakia Denmark' Finland France 4,938 4,594 4,180 4,694 5,041 11,701 11,070 11,824 9,585 10,586 Ireland 2,414 1,694 1,708 1,601 1,579 Italy 6,732 7,128 5,859 6,776 7,153 Netherlands 8,275 7,510 8,781 8,247 9,165 Norway 2,705 2,543 3,833 3,160 3,228 Russia 4,250 3,542 5,397 3,582 2,536 Sweden 5,866 5,670 5,559 5,028 5,265 Switzerland 2,362 2,896 1,932 2,212 2,298 42,508 43,009 36,577 40,851 39,539 26 24 54 86 56 4,446 7,735 9,575 7,242 8,654 Middle East 8,105 10,424 10,525 13,391 13,668 Oceania 9,551 10,421 8,256 6,153 6,289 7,165 7,842 6,420 4,969 4972 690 598 840 787 823 1,696 1,981 996 397 494 Germany United Kingdom Yugoslavia Other Europe Australia New Zealand Other Oceania Others & Not Stated Total 9,235 976 1,530 2,118 1,321 1,196,765 1,206,334 1,266,046 1,302,802 1,322,522 Source: Uganda Bureau of Statistics 209 Table 3.6 N: Selected Tourism Indicators, 2012 – 2016 percentage 2012 2013 2014 2015 2016 Change 20122016 Inbound Tourism (‘000) Visitor Arrivals by region 1,197 1,206 1,266 1,303 1322 13.2 Africa 930 936 989 1,047 1047 14.9 Europe 108 109 110 107 110 -4.2 America 71 73 77 62 71 0.3 Asia 61 67 70 66 73 1.8 8 10 11 13 14 0.5 10 10 8 6 6 9 1 1 2 1 Air 416 423 443 402 432 2.9 Road 781 783 823 901 890 10.3 Busia and Malaba 340 331 315 393 328 7.5 Katuna 264 328 275 258 254 -0.9 Other Border Posts 177 124 233 250 308 7 Male 827 946 1,028 965 924 8.5 Female 369 256 237 336 397 4.5 56 47 74 59 65 1.1 20- 39 649 737 752 709 712 5.4 40- 59 432 368 378 454 462 7.4 48 38 52 56 66 1.5 Leisure, recreation and holidays 227 188 220 208 237 14.2 Business and professional 205 223 232 322 290 -10 Visiting friends and relatives 424 528 441 453 499 10 Others 341 267 373 320 297 -7.2 In-bound Tourism 834 979 1,039 1,069 1,085 1.5 Outbound Tourism 469 471 511 523 568 8.6 Middle East Oceania Other & Not Stated -0.2 Sex Age group (Years) Less than 20 60+ Visitor Arrivals by purpose of Visit Tourism Expenditure ( USD Million) Note: 2016 inbound expenditure is based on the average expenditure per tourist in 2012 expenditure and motivation Survey Source: Uganda Bureau of Statistics 210 Table 3.6 O: Visitors to National Parks (Citizens and Foreigners), 2012 – 2016 National Parks 2012 2013 2014 2015 2016 Queen Elizabeth 60,803 70,798 66,844 72,964 85,905 Murchison Falls 58,172 69,193 58,769 65,366 75,360 Lake Mburo 22,927 14,068 26,980 24,979 26,012 Bwindi Impenetrable 18,259 21,695 20,611 16,476 19,522 Kibaale 10,372 10,834 12,097 10,463 11,760 Semliki 3,591 5,752 4,824 10,389 8,214 Mgahinga Gorilla 2,497 8,952 3033 2,648 3,840 Kidepo Valley 2,300 2,890 4091 5,663 7,824 Rwenzori Mountains 1,663 2,724 2758 3,343 3,192 Mount Elgon 1,565 2,096 2314 2,669 3,335 Toro Semliki 0 4,948 564 598 761 182,149 213,950 202,885 215,558 245,725 Total Source: Uganda Wildlife Authority Table 3.6 P: 2016 Visitors to National Parks by Category Foreigners National Parks Non Foreigners EAC Students Residents Residents Uganda Others Total residents Queen Elizabeth 22,020 4,130 17,629 42,126 - 85,905 Murchison Falls 29,868 7,643 25,650 10,814 1385 75,360 8,723 1,851 8,395 7,043 - 26,012 Bwindi Impenetrable 18,050 372 972 126 2 19,522 Kibaale 10,809 272 327 349 3 11,760 Lake Mburo Semiliki 286 153 1,612 6,148 15 8,214 Kidepo Valley 2,032 648 4,791 279 74 7,824 Rwenzori Mountains 1,069 197 317 1,609 - 3,192 Mount Elgon Mgahinga Gorilla Toro Semiliki SWR Total 418 287 1,840 790 - 3,335 2,470 171 518 674 7 3,840 204 54 91 341 71 761 95,949 15,778 62,142 70,299 1,557 245,725 Source: Uganda Wildlife Authority 211 4.0: Macro Economic Statistics 4.1 National Accounts Table 4.1 A: Calendar Year Summary & Memorandum Item Statistics, 2009/10 prices 2012 2013 2014 2015 2016 At current prices (Billion shillings) 61,226 66,517 72,351 81,229 86,756 At constant 2009/10 prices (Billion shillings) GDP at market prices 47,056 49,276 51,517 54,413 55,791 Quantity index (2009/10=100) 115 120 126 133 136 Constant price growth rates (%) 3.2 4.7 4.5 5.6 2.5 Implied deflators (2009/10=100) 130 135 140 149 156 1,936 2,043 2,159 2,296 2,384 773 790 830 708 697 1,488 1,513 1,537 1,538 1,533 733 746 758 758 756 31,625 32,558 33,510 35,382 36,391 2,505 2,587 2,600 3,241 3,420 GDP per capita at current prices GDP per capita (UGS '000) GDP per capita (US $) GDP per capita at constant 2009/10 prices GDP per capita (UGS '000) GDP per capita (US $) Memorandum items Population ('000) Exchange rate UGS per US $ Source: Uganda Bureau of Statistics Table 4.1B: Value added by Economic Activity at Current prices, CY (Bill. Shs) ISIC GDP at market prices Agriculture, forestry and fishing Cash crops Food crops Livestock Agrculture Support Services Forestry Fishing Industry Mining & quarrying Manufacturing Electricity Water Construction Services Trade and Repairs Transportation and Storage Accommodation and Food Service Activities Information and Communication Financial and Insurance Activities Real Estate Activities Professional, Scientific and Technical Activities Administrative and Support Service Activities Public Administration Education Human Health and Social Work Activities Arts, Entertainment and Recreation Other Service Activities Activities of Households as Employers Adjustments Taxes on products Source: Uganda Bureau of Statistics AA AB AC AD AE AF B C D E F G H I J K L M N O P Q R S T 2012 61,226 16,073 1,086 8,544 2,832 22 2,693 895 12,567 580 5,843 564 1,290 4,289 28,362 8,629 1,787 1,611 1,728 1,595 2,408 1,965 1,008 1,801 2,928 1,799 182 666 255 2013 66,517 16,662 1,096 8,528 3,008 25 2,998 1,007 13,718 535 6,046 571 1,591 4,976 31,236 8,981 2,170 1,860 2,012 1,625 2,864 1,761 990 1,904 3,689 2,140 203 763 276 2014 72,351 18,069 1,236 9,599 3,049 26 3,022 1,136 14,521 514 6,028 615 1,838 5,527 34,182 9,148 2,268 1,973 2,396 2,097 3,182 1,825 1,210 1,977 4,377 2,366 215 855 291 2015 81,229 19,321 1,369 10,071 3,380 31 3,208 1,263 16,585 534 7,339 709 2,044 5,960 38,817 11,002 2,482 2,051 2,719 2,348 3,617 2,057 1,421 1,909 5,139 2,553 239 962 318 2016 86,756 20,358 1,564 10,390 3,753 32 3,252 1,367 18,153 605 7,780 823 2,403 6,542 41,356 11,105 2,711 2,361 1,954 2,717 3,985 2,212 1,313 1,964 6,563 2,768 226 1,122 356 4,224 4,224 4,900 4,900 5,578 5,578 6,505 6,505 6,889 6,889 212 Table 4.1 C: Value added by Economic Activity at Constant prices, CY (Bill. Shs) ISIC GDP at market prices Agriculture, forestry and fishing Cash crops Food crops Livestock Agriculture Support Services Forestry Fishing Industry Mining & quarrying Manufacturing Electricity Water Construction Services Trade and Repairs Transportation and Storage Accommodation and Food Service Activities Information and Communication Financial and Insurance Activities Real Estate Activities Professional, Scientific and Technical Activities Administrative and Support Service Activities Public Administration Education Human Health and Social Work Activities Arts, Entertainment and Recreation Other Service Activities Activities of Households as Employers Adjustments Taxes on products Source: Uganda Bureau of Statistics AA AB AC AD AE AF B C D E F G H I J K L M N O P Q R S T TPS 2012 47,056 11,201 844 5,935 1,969 12 1,837 603 8,590 621 3,783 453 893 2,841 23,492 5,870 1,286 1,001 3,540 1,111 2,400 1,492 750 1,340 2,512 1,367 135 454 233 2013 49,276 11,498 885 6,024 2,019 12 1,999 559 8,956 636 3,804 451 949 3,116 24,862 5,947 1,363 1,077 4,250 1,154 2,547 1,464 700 1,349 2,701 1,441 143 488 238 2014 51,517 11,808 876 6,205 2,077 12 2,053 585 9,545 719 3,973 477 1,008 3,369 25,908 5,970 1,441 1,155 4,166 1,497 2,715 1,502 840 1,372 2,799 1,516 148 543 244 2015 54,413 12,279 962 6,425 2,138 14 2,141 599 10,305 855 4,378 495 1,071 3,506 27,209 6,243 1,571 1,215 4,653 1,558 2,885 1,405 945 1,268 2,900 1,581 158 577 251 2016 55,791 12,284 992 6,297 2,185 13 2,173 624 10,605 840 4,372 523 1,141 3,730 28,261 6,309 1,637 1,274 5,313 1,594 3,045 1,383 815 1,223 2,970 1,646 139 653 261 3,773 3,773 3,961 3,961 4,257 4,257 4,620 4,620 4,640 4,640 Table 4.1 D: Value added by Economic Activity at Constant prices, CY, Percentage change ISIC GDP at market prices Agriculture, forestry and fishing Cash crops Food crops Livestock Agriculture Support Services Forestry Fishing Industry Mining & quarrying Manufacturing Electricity Water Construction Services Trade and Repairs Transportation and Storage Accommodation and Food Service Activities Information and Communication Financial and Insurance Activities Real Estate Activities Professional, Scientific and Technical Activities Administrative and Support Service Activities Public Administration Education Human Health and Social Work Activities Arts, Entertainment and Recreation Other Service Activities Activities of Households as Employers Adjustments Taxes on products Source: Uganda Bureau of Statistics AA AB AC AD AE AF B C D E F G H I J K L M N O P Q R S T TPS 2012 3.2 0.3 -2.3 -1.7 2.5 -5.8 5.4 3.4 1.2 6.7 -1.1 18.6 6.2 -0.7 4.7 -0.1 5.3 6.8 25.0 2.2 3.7 -3.2 -10.5 -2.0 8.9 3.9 -1.5 5.8 1.9 8.0 8.0 2013 4.7 2.6 4.8 1.5 2.5 -0.4 8.8 -7.3 4.3 2.5 0.6 -0.5 6.3 9.7 5.8 1.3 6.0 7.6 20.1 3.9 6.1 -1.9 -6.7 0.7 7.5 5.4 5.8 7.3 2.2 5.0 5.0 2014 4.5 2.7 -1.0 3.0 2.9 0.0 2.7 4.6 6.6 12.9 4.5 5.8 6.2 8.1 4.2 0.4 5.7 7.2 -2.0 29.7 6.6 2.6 20.0 1.7 3.6 5.2 3.5 11.3 2.6 7.5 7.5 2015 5.6 4.0 9.9 3.5 2.9 15.6 4.3 2.5 8.0 19.0 10.2 3.9 6.3 4.1 5.0 4.6 9.0 5.2 11.7 4.1 6.3 -6.5 12.6 -7.6 3.6 4.3 6.3 6.3 3.1 8.5 8.5 2016 2.5 0.0 3.0 -2.0 2.2 -3.1 1.5 4.2 2.9 -1.8 -0.1 5.6 6.5 6.4 3.9 1.1 4.2 4.9 14.2 2.3 5.6 -1.6 -13.8 -3.6 2.4 4.1 -11.7 13.2 3.7 0.4 0.4 213 Table 4.1 E (i): Value Contribution to GDP, CY added by ISIC GDP at market prices Agriculture, forestry and fishing Cash crops Food crops Livestock Agrculture Support Services Forestry Fishing Industry Mining & quarrying Manufacturing Electricity Water Construction Services Trade and Repairs Transportation and Storage Accommodation and Food Service Activities Information and Communication Financial and Insurance Activities Real Estate Activities Professional, Scientific and Technical Activities Administrative and Support Service Activities Public Administration Education Human Health and Social Work Activities Arts, Entertainment and Recreation Other Service Activities Activities of Households as Employers Adjustments Taxes on products Source: Uganda Bureau of Statistics A AA AB AC AD AE AF B C D E F G H I J K L M N O P Q R S T TSP Economic Activity ISIC Adjustments Taxes on products Source: Uganda Bureau of Statistics AA AB AC AD AE AF B C D E F G H I J K L M N O P Q R S T Current prices, 2012 100.0 26.3 1.8 14.0 4.6 0.0 4.4 1.5 20.5 0.9 9.5 0.9 2.1 7.0 46.3 14.1 2.9 2.6 2.8 2.6 3.9 3.2 1.6 2.9 4.8 2.9 0.3 1.1 0.4 2013 100.0 25.0 1.6 12.8 4.5 0.0 4.5 1.5 20.6 0.8 9.1 0.9 2.4 7.5 47.0 13.5 3.3 2.8 3.0 2.4 4.3 2.6 1.5 2.9 5.5 3.2 0.3 1.1 0.4 2014 100.0 25.0 1.7 13.3 4.2 0.0 4.2 1.6 20.1 0.7 8.3 0.8 2.5 7.6 47.2 12.6 3.1 2.7 3.3 2.9 4.4 2.5 1.7 2.7 6.0 3.3 0.3 1.2 0.4 2015 100.0 23.8 1.7 12.4 4.2 0.0 3.9 1.6 20.4 0.7 9.0 0.9 2.5 7.3 47.8 13.5 3.1 2.5 3.3 2.9 4.5 2.5 1.7 2.4 6.3 3.1 0.3 1.2 0.4 2016 100.0 23.5 1.8 12.0 4.3 0.0 3.7 1.6 20.9 0.7 9.0 0.9 2.8 7.5 47.7 12.8 3.1 2.7 2.3 3.1 4.6 2.5 1.5 2.3 7.6 3.2 0.3 1.3 0.4 6.9 6.9 7.4 7.4 7.7 7.7 8.0 8.0 7.9 7.9 Table 4.1 E (ii): Value added by Economic Activity, Implicit Price Deflators GDP at market prices Agriculture, forestry and fishing Cash crops Food crops Livestock Agriculture Support Services Forestry Fishing Industry Mining & quarrying Manufacturing Electricity Water Construction Services Trade and Repairs Transportation and Storage Accommodation and Food Service Activities Information and Communication Financial and Insurance Activities Real Estate Activities Professional, Scientific and Technical Activities Administrative and Support Service Activities Public Administration Education Human Health and Social Work Activities Arts, Entertainment and Recreation Other Service Activities Activities of Households as Employers at CY, 2009/10 = 100, 2012 130.1 143.5 128.7 144.0 143.8 188.1 146.6 148.4 146.3 93.4 154.5 124.5 144.5 151.0 120.7 147.0 139.0 160.8 48.8 143.6 100.3 131.7 134.4 134.4 116.6 131.6 134.6 146.5 109.6 2013 135.0 144.9 123.9 141.6 149.0 208.3 150.0 180.1 153.2 84.0 159.0 126.6 167.6 159.7 125.6 151.0 159.2 172.6 47.3 140.8 112.5 120.2 141.4 141.1 136.6 148.5 141.6 156.5 115.9 2014 140.4 153.0 141.1 154.7 146.8 221.5 147.2 194.3 152.1 71.5 151.7 129.0 182.4 164.1 131.9 153.2 157.4 170.9 57.5 140.1 117.2 121.5 144.2 144.0 156.4 156.1 144.7 157.5 119.4 2015 149.3 157.3 142.3 156.7 158.1 228.1 149.8 210.7 161.0 62.5 167.6 143.2 190.9 170.0 142.7 176.2 157.9 168.9 58.4 150.7 125.4 146.4 150.4 150.5 177.2 161.5 151.7 166.7 126.4 2016 155.5 165.7 157.8 165.0 171.7 242.2 149.7 218.9 171.2 72.1 177.9 157.4 210.7 175.4 146.3 176.0 165.7 185.3 36.8 170.4 130.9 160.0 161.1 160.6 221.0 168.2 162.2 171.8 136.7 111.9 111.9 123.7 123.7 131.0 131.0 140.8 140.8 148.5 148.5 214 Table 4.1 F (i): Monetary Value added by Economic Activity at Current prices, CY (Bill. Shs) ISIC GDP at market prices Agriculture, forestry and fishing Cash crops Food crops Livestock Agriculture Support Services Forestry Fishing Industry Mining & quarrying Manufacturing Electricity Water Construction Services Trade and Repairs Transportation and Storage Accommodation and Food Service Activities Information and Communication Financial and Insurance Activities Real Estate Activities Professional, Scientific and Technical Activities Administrative and Support Service Activities Public Administration Education Human Health and Social Work Activities Arts, Entertainment and Recreation Other Service Activities Activities of Households as Employers Source: Uganda Bureau of Statistics AA AB AC AD AE AF B C D E F G H I J K L M N O P Q R S T 2012 48,531 11,062 1,086 4,646 2,418 22 2,058 832 11,243 580 5,688 564 205 4,206 26,226 8,629 1,787 1,611 1,728 1,595 272 1,965 1,008 1,801 2,928 1,799 182 666 255 2013 52,364 11,596 1,096 4,666 2,579 25 2,297 934 12,114 535 5,874 571 241 4,893 28,654 8,981 2,170 1,860 2,012 1,625 281 1,761 990 1,904 3,689 2,140 203 763 276 2014 56,529 12,455 1,236 5,223 2,614 26 2,302 1,053 12,759 514 5,895 615 287 5,449 31,315 9,148 2,268 1,973 2,396 2,097 316 1,825 1,210 1,977 4,377 2,366 215 855 291 2015 63,740 13,535 1,369 5,636 2,903 31 2,426 1,169 14,660 534 7,212 709 322 5,884 35,545 11,002 2,482 2,051 2,719 2,348 345 2,057 1,421 1,909 5,139 2,553 239 962 318 2016 67,924 14,379 1,564 5,807 3,230 32 2,479 1,266 15,724 605 7,443 823 388 6,465 37,821 11,105 2,711 2,361 1,954 2,717 449 2,212 1,313 1,964 6,563 2,768 226 1,122 356 Table 4.1 F (ii): Non-Monetary Value added by Economic Activity at Current prices, CY (Bill. Shs) ISIC GDP at market prices Agriculture, forestry and fishing Cash crops Food crops Livestock Agriculture Support Services Forestry Fishing Industry Mining & quarrying Manufacturing Electricity Water Construction Services Trade and Repairs Transportation and Storage Accommodation and Food Service Activities Information and Communication Financial and Insurance Activities Real Estate Activities Professional, Scientific and Technical Activities Administrative and Support Service Activities Public Administration Education Human Health and Social Work Activities Arts, Entertainment and Recreation Other Service Activities Activities of Households as Employers Source: Uganda Bureau of Statistics A AA AB AC AD AE AF B C D E F G H I J K L M N O P Q R S T 2012 8,471 5,011 3,898 414 635 63 1,324 155 1,085 84 2,136 2,136 - 2013 9,253 5,066 3,862 430 701 73 1,604 172 1,350 83 2,583 2,583 - 2014 10,243 5,614 4,376 434 720 83 1,763 133 1,551 78 2,866 2,866 - 2015 10,984 5,787 4,434 477 782 94 1,925 127 1,722 76 3,272 3,272 - 2016 11,943 5,979 4,583 522 773 101 2,428 336 2,015 77 3,535 3,535 - 215 Table 4.1 G (i): Monetary Value added by Economic Activity at Constant 2009/10 Prices, CY (Bill. Shs) ISIC GDP at market prices Agriculture, forestry and fishing Cash crops Food crops Livestock Agriculture Support Services Forestry Fishing Industry Mining & quarrying Manufacturing Electricity Water Construction Services Trade and Repairs Transportation and Storage Accommodation and Food Service Activities Information and Communication Financial and Insurance Activities Real Estate Activities Professional, Scientific and Technical Activities Administrative and Support Service Activities Public Administration Education Human Health and Social Work Activities Arts, Entertainment and Recreation Other Service Activities Activities of Households as Employers Source: Uganda Bureau of Statistics AA AB AC AD AE AF B C D E F G H I J K L M N O P Q R S T 2012 37,407 7,762 844 3,207 1,703 12 1,434 562 7,696 621 3,691 453 160 2,771 21,949 5,870 1,286 1,001 3,540 1,111 856 1,492 750 1,340 2,512 1,367 135 454 233 2013 39,205 7,969 885 3,221 1,743 12 1,591 517 8,014 636 3,713 451 169 3,045 23,221 5,947 1,363 1,077 4,250 1,154 906 1,464 700 1,349 2,701 1,441 143 488 238 2014 40,949 8,240 876 3,379 1,792 12 1,640 542 8,552 719 3,883 477 176 3,297 24,157 5,970 1,441 1,155 4,166 1,497 964 1,502 840 1,372 2,799 1,516 148 543 244 2015 43,383 8,782 962 3,677 1,852 14 1,722 555 9,260 855 4,291 495 185 3,433 25,341 6,243 1,571 1,215 4,653 1,558 1,017 1,405 945 1,268 2,900 1,581 158 577 251 2016 44,515 8,748 992 3,514 1,901 13 1,749 579 9,498 840 4,282 523 198 3,656 26,268 6,309 1,637 1,274 5,313 1,594 1,053 1,383 815 1,223 2,970 1,646 139 653 261 Table 4.1 G (ii): Non-Monetary Value added by Economic Activity at 2009/10 Constant Prices, CY (Bill. Shs) ISIC GDP at market prices Agriculture, forestry and fishing Cash crops Food crops Livestock Agriculture Support Services Forestry Fishing Industry Mining & quarrying Manufacturing Electricity Water Construction Services Trade and Repairs Transportation and Storage Accommodation and Food Service Activities Information and Communication Financial and Insurance Activities Real Estate Activities Professional, Scientific and Technical Activities Administrative and Support Service Activities Public Administration Education Human Health and Social Work Activities Arts, Entertainment and Recreation Other Service Activities Activities of Households as Employers Source: Uganda Bureau of Statistics A AA AB AC AD AE AF B C D E F G H I J K L M N O P Q R S T 2012 5,876 3,438 2,728 266 403 41 894 92 733 69 1,543 1,543 - 2013 6,111 3,528 2,803 276 408 42 941 90 781 70 1,641 1,641 - 2014 6,312 3,568 2,826 286 413 43 993 90 831 72 1,751 1,751 - 2015 6,410 3,498 2,748 286 419 44 1,045 87 885 73 1,868 1,868 - 2016 6,636 3,536 2,782 284 424 46 1,107 90 943 74 1,993 1,993 - 216 Table 4.1 H (i): Formal sector Value added by economic activity, Current prices, CY (Bill Shs) ISIC GDP at market prices Agriculture, forestry and fishing Cash crops Food crops Livestock Agriculture Support Services Forestry Fishing Industry Mining & quarrying Manufacturing Electricity Water Construction Services Trade and Repairs Transportation and Storage Accommodation and Food Service Activities Information and Communication Financial and Insurance Activities Real Estate Activities Professional, Scientific and Technical Activities Administrative and Support Service Activities Public Administration Education Human Health and Social Work Activities Arts, Entertainment and Recreation Other Service Activities Activities of Households as Employers Source: Uganda Bureau of Statistics A AA AB AC AD AE AF B C D E F G H I J K L M N O P Q R S T 2012 29,337 2,010 1,086 22 902 8,487 62 3,777 1,290 63 3,295 18,840 4,687 807 589 1,687 1,595 64 1,946 941 1,801 2,432 1,683 170 438 - 2013 32,051 2,181 1,096 25 1,061 9,406 109 3,800 1,591 62 3,845 20,464 4,869 946 662 1,967 1,625 76 1,748 920 1,904 3,054 1,998 192 502 - 2014 35,185 2,303 1,236 26 1,041 10,082 50 3,826 1,838 82 4,286 22,800 4,976 1,030 705 2,356 2,097 93 1,813 1,146 1,977 3,624 2,207 204 573 - 2015 39,330 2,453 1,369 31 1,053 11,391 36 4,605 2,044 99 4,608 25,485 5,603 1,230 723 2,649 2,348 100 2,041 1,353 1,909 4,290 2,377 228 635 - 2016 41,878 2,683 1,564 32 1,086 12,480 62 4,840 2,403 130 5,045 26,714 5,389 1,380 819 1,890 2,717 76 2,194 1,245 1,964 5,506 2,573 213 749 - Table 4.1 H (ii): Informal sector Value added by economic activity, Current prices, CY (Bill. Shs) ISIC GDP at market prices Agriculture, forestry and fishing Cash crops Food crops Livestock Agriculture Support Services Forestry Fishing Industry Mining & quarrying Manufacturing Electricity Water Construction Services Trade and Repairs Transportation and Storage Accommodation and Food Service Activities Information and Communication Financial and Insurance Activities Real Estate Activities Professional, Scientific and Technical Activities Administrative and Support Service Activities Public Administration Education Human Health and Social Work Activities Arts, Entertainment and Recreation Other Service Activities Activities of Households as Employers Source: Uganda Bureau of Statistics A AA AB AC AD AE AF B C D E F G H I J K L M N O P Q R S T 2012 28,391 14,063 8,544 2,832 1,792 895 4,806 518 2,066 1,227 994 9,522 3,942 980 1,022 41 2,344 19 66 497 117 12 227 255 2013 30,586 14,481 8,528 3,008 1,938 1,007 5,333 426 2,247 1,529 1,131 10,772 4,112 1,224 1,198 45 2,788 12 69 635 142 10 261 276 2014 32,811 15,766 9,599 3,049 1,982 1,136 5,663 464 2,202 1,757 1,241 11,382 4,172 1,239 1,268 40 3,089 12 65 753 160 10 282 291 2015 36,729 16,868 10,071 3,380 2,155 1,263 6,529 498 2,734 1,945 1,352 13,332 5,400 1,252 1,328 70 3,517 16 69 849 176 11 327 318 2016 39,570 17,675 10,390 3,753 2,166 1,367 7,253 543 2,940 2,273 1,497 14,642 5,716 1,331 1,541 64 3,909 18 68 1,057 195 13 373 356 217 Table 4.1 I (i): Formal sector Value added by economic activity, Constant prices, CY (Bill Shs) ISIC GDP at market prices Agriculture, forestry and fishing Cash crops Food crops Livestock Agriculture Support Services Forestry Fishing Industry Mining & quarrying Manufacturing Electricity Water Construction Services Trade and Repairs Transportation and Storage Accommodation and Food Service Activities Information and Communication Financial and Insurance Activities Real Estate Activities Professional, Scientific and Technical Activities Administrative and Support Service Activities Public Administration Education Human Health and Social Work Activities Arts, Entertainment and Recreation Other Service Activities Activities of Households as Employers Source: Uganda Bureau of Statistics A AA AB AC AD AE AF B C D E F G H I J K L M N O P Q R S T 2012 23,362 1,622 844 12 766 5,605 39 2,439 893 67 2,168 16,135 3,117 649 381 3,501 1,111 47 1,476 699 1,340 2,109 1,279 126 300 - 2013 24,924 1,810 885 12 913 5,938 42 2,486 949 72 2,389 17,176 3,160 672 405 4,207 1,154 54 1,448 650 1,349 2,274 1,346 136 322 - 2014 26,136 1,825 876 12 938 6,367 75 2,622 1,008 76 2,587 17,943 3,214 691 428 4,128 1,497 63 1,485 795 1,372 2,349 1,415 141 365 - 2015 27,532 1,978 962 14 1,002 6,743 76 2,832 1,071 81 2,683 18,811 3,393 771 439 4,595 1,558 65 1,393 899 1,268 2,423 1,473 150 383 - 2016 28,663 2,039 992 13 1,034 6,992 48 2,868 1,141 89 2,847 19,632 3,592 782 429 5,257 1,594 46 1,370 772 1,223 2,467 1,530 131 437 - Table 4.1 I (ii): Informal sector Value added by economic activity, Constant prices, CY (Bill. Shs) ISIC GDP at market prices Agriculture, forestry and fishing Cash crops Food crops Livestock Agriculture Support Services Forestry Fishing Industry Mining & quarrying Manufacturing Electricity Water Construction Services Trade and Repairs Transportation and Storage Accommodation and Food Service Activities Information and Communication Financial and Insurance Activities Real Estate Activities Professional, Scientific and Technical Activities Administrative and Support Service Activities Public Administration Education Human Health and Social Work Activities Arts, Entertainment and Recreation Other Service Activities Activities of Households as Employers Source: Uganda Bureau of Statistics AA AB AC AD AE AF B C D E F G H I J K L M N O P Q R S T 2012 20,361 9,579 5,935 1,969 1,072 603 3,425 582 1,344 826 673 7,357 2,753 637 620 39 2,353 16 51 404 89 9 154 233 2013 20,890 9,688 6,024 2,019 1,086 559 3,516 594 1,318 877 727 7,686 2,788 692 672 43 2,493 16 50 427 95 7 166 238 2014 21,655 9,983 6,205 2,077 1,115 585 3,708 644 1,351 932 782 7,964 2,756 750 726 38 2,651 17 45 451 101 7 178 244 2015 22,837 10,301 6,425 2,138 1,139 599 4,138 779 1,546 990 823 8,398 2,850 800 776 58 2,819 12 46 476 108 7 195 251 2016 23,105 10,245 6,297 2,185 1,139 624 4,231 792 1,505 1,052 883 8,629 2,717 855 845 56 2,999 12 43 503 115 8 216 261 218 Table 4.1 J (i): GDP by Expenditure at Current prices, CY (Bill. Shs) Final Consumption Expenditure General Government FCE NPISH FCE Household FCE Gross Fixed Capital Formation Dwellings Other Buildings Other Structures Transport Equipment ICT Equipment Other Machinery and Equipment Biological Resources Reasearch and Development Mineral and Petroleum Exploration Changes in Inventories Acquisitions less Disposals of Valuables Exports less Imports of Goods and Services Exports Goods Services Less Imports Goods Services Statistical Discrepancy GDP at Market Prices Source: Uganda Bureau of Statistics 2012 50,840 4,973 1,001 44,865 17,212 4,369 6,051 880 1,485 571 3,636 99 1 121 228 8 -7,061 12,315 7,023 5,292 19,376 13,169 6,207 2013 54,589 5,373 1,156 48,060 18,011 4,892 6,722 954 1,556 760 2,881 127 1 118 301 5 -6,388 13,374 7,325 6,049 19,762 12,863 6,899 2014 61,581 6,485 1,336 53,760 18,375 5,275 7,375 1,011 1,484 509 2,454 138 1 127 329 3 -7,937 12,352 7,085 5,267 20,289 13,258 7,032 2015 70,175 6,845 1,244 62,086 19,829 5,608 7,572 1,163 1,411 530 3,301 162 1 80 376 5 -9,156 15,659 8,616 7,043 24,814 16,063 8,751 2016 71,968 6,914 1,561 63,494 20,854 6,076 8,427 1,208 1,280 486 3,072 192 1 112 455 4 -6,525 15,394 10,007 5,387 21,919 14,666 7,254 61,226 66,517 72,351 81,229 86,756 Table 4.1 J (ii): GDP by Expenditure at Constant 2009/10 prices, CY (Bill. Shs) Final Consumption Expenditure General Government FCE NPISH FCE Household FCE Gross Fixed Capital Formation Dwellings Other Buildings Other Structures Transport Equipment ICT Equipment Other Machinery and Equipment Biological Resources Reasearch and Development Mineral and Petroleum Exploration Changes in Inventories Acquisitions less Disposals of Valuables Exports less Imports of Goods and Services Exports Goods Services Less Imports Goods Services Statistical Discrepancy GDP at Market Prices Source: Uganda Bureau of Statistics 2012 39,122 4,277 775 34,070 12,884 3,215 4,391 635 1,171 432 2,869 61 0.6 108 142 6 -5,096 8,774 5,002 3,772 13,870 9,326 4,544 2013 40,632 4,393 802 35,436 13,163 3,552 4,827 674 1,174 575 2,175 78.337 0.6 107 186 4 -4,708 9,673 5,396 4,277 14,381 9,111 5,271 2014 43,905 4,956 833 38,116 13,337 3,833 5,251 714 1,109 392 1,833 82.817 0.6 122 197 2 -5,924 8,076 4,656 3,420 14,000 8,479 5,520 2015 46,568 5,365 867 40,336 14,209 4,028 5,353 802 1,022 386 2,395 88.958 0.6 133 197 3 -6,565 9,375 5,206 4,168 15,939 8,847 7,093 2016 44,345 4,769 907 38,669 14,476 4,250 5,808 794 895 354 2,145 94.728 0.6 134 197 3 -3,230 8,701 5,647 3,053 11,930 7,818 4,112 47,056 49,276 51,517 54,413 55,791 219 Table 4.1 J (iii): GDP by Expenditure, Annual Percentage Changes, CY Final Consumption Expenditure 2012 2013 2014 2015 2016 -1.2% 3.9% 8.1% 6.1% -4.8% -19.3% 2.7% 12.8% 8.3% -11.1% NPISH FCE 2.9% 3.5% 3.8% 4.0% 4.6% Household FCE 1.6% 4.0% 7.6% 5.8% -4.1% Gross Fixed Capital Formation 5.4% 2.2% 1.3% 6.5% 1.9% Dwellings -1.2% 10.5% 7.9% 5.1% 5.5% Other Buildings -0.1% 9.9% 8.8% 1.9% 8.5% Other Structures -1.9% 6.1% 5.9% 12.4% -1.0% 0.4% 0.2% -5.5% -7.8% -12.5% -25.9% 33.0% -31.8% -1.5% -8.2% -10.4% General Government FCE Transport Equipment ICT Equipment Other Machinery and Equipment 42.3% -24.2% -15.7% 30.7% Biological Resources 2.8% 28.5% 5.7% 7.4% 6.5% Reasearch and Development 1.3% 3.5% 1.3% 5.9% -7.3% 12.8% -0.6% 14.4% 8.8% 0.5% 3.5% 31.0% 6.0% 0.2% 0.0% Acquisitions less Disposals of Valuables -34.9% -33.2% -40.8% 50.1% -19.2% Exports less Imports of Goods and Services -20.0% -7.6% 25.8% 10.8% -50.8% Exports 12.7% 10.2% -16.5% 16.1% -7.2% Goods 12.1% 7.9% -13.7% 11.8% 8.5% Services 13.4% 13.4% -20.1% 21.9% -26.8% Less Imports -2.1% 3.7% -2.7% 13.9% -25.1% Goods -1.2% -2.3% -6.9% 4.3% -11.6% Services -3.8% 16.0% 4.7% 28.5% -42.0% 3.2% 4.7% 4.5% 5.6% 2.5% Mineral and Petroleum Exploration Changes in Inventories Statistical Discrepancy GDP at Market Prices Source: Uganda Bureau of Statistics Table 4.1 K: Financial Year Summary and Memorandum Item Statistics, 2009/10 = 100 2012/13 2013/14 2014/15 2015/16 2016/17 63,740 48,190 118 3.6 69,276 50,651 124 5.1 76,517 53,279 130 5.2 82,903 55,760 136 4.7 91,351 57,971 142 4.0 GDP per capita at current prices GDP per capita (UGS '000) GDP per capita (US $) 1,930 745 2,038 803 2,188 774 2,310 671 2,475 701 GDP per capita at constant 2009/10 prices GDP per capita (UGS '000) GDP per capita (US $) 1,459 719 1,490 734 1,524 751 1,554 766 1,571 774 33,029 2,591 33,990 2,538 34,964 2,828 35,885 3,443 36,904 3,530 GDP at market prices At current prices (Billion shillings) At constant 2009/10 prices (Billion shillings) Quantity index (2009/10=100) Constant price growth rates (%) Memorandum items Population ('000) Exchange rate UGS per US $ Source: Uganda Bureau of Statistics 220 Table 4.1 L: Value added by Economic Activity at Current Prices, FY (Bill. Shs) ISIC GDP at market prices Agriculture, forestry and fishing Cash crops Food crops Livestock Agriculture Support Services Forestry Fishing Industry Mining & quarrying Manufacturing Electricity Water Construction Services Trade and Repairs Transportation and Storage Accommodation and Food Service Activities Information and Communication Financial and Insurance Activities Real Estate Activities Professional, Scientific and Technical Activities Administrative and Support Service Activities Public Administration Education Human Health and Social Work Activities Arts, Entertainment and Recreation Other Service Activities Activities of Households as Employers Adjustments Taxes on products Source: Uganda Bureau of Statistics Table 4.1 M (i): Value added A AA AB AC AD AE AF B C D E F G H I J K L M N O P Q R S T by 2012/13 63,740 16,241 1,147 8,323 2,912 23 2,897 939 13,150 536 6,081 561 1,399 4,574 29,781 8,869 1,965 1,736 1,816 1,606 2,660 1,860 979 1,864 3,270 1,987 189 714 265 4,569 4,569 2013/14 69,276 17,371 1,073 9,225 3,027 25 2,975 1,045 14,140 525 5,894 597 1,770 5,353 32,650 8,868 2,298 1,973 2,180 1,914 3,019 1,804 1,100 1,949 3,980 2,255 210 818 284 5,116 5,116 Economic 2014/15 76,517 18,350 1,305 9,532 3,184 30 3,078 1,221 15,311 528 6,660 637 1,898 5,588 36,675 9,707 2,338 1,953 2,805 2,188 3,367 2,007 1,410 2,385 4,635 2,454 226 899 302 6,181 6,181 Activity at 2015/16 82,903 19,655 1,424 10,060 3,561 32 3,263 1,315 17,141 562 7,239 796 2,270 6,274 39,439 10,612 2,590 2,150 2,122 2,587 3,824 2,133 1,294 2,610 5,297 2,674 228 1,032 284 6,668 6,668 Constant 2016/17 91,351 22,744 1,794 12,347 3,849 33 3,253 1,467 18,256 579 7,480 900 2,534 6,762 43,042 11,005 2,741 2,509 2,145 2,800 4,156 2,301 1,295 2,819 6,659 2,865 235 1,210 302 7,310 7,310 2009/10 Prices, FY (Bill. Shs) ISIC GDP at market prices Agriculture, forestry and fishing Cash crops Food crops Livestock Agriculture Support Services Forestry Fishing Industry Mining & quarrying Manufacturing Electricity Water Construction Services Trade and Repairs Transportation and Storage Accommodation and Food Service Activities Information and Communication Financial and Insurance Activities Real Estate Activities Professional, Scientific and Technical Activities Administrative and Support Service Activities Public Administration Education Human Health and Social Work Activities Arts, Entertainment and Recreation Other Service Activities Activities of Households as Employers Adjustments Taxes on products Source: Uganda Bureau of Statistics A AA AB AC AD AE AF B C D E F G H I J K L M N O P Q R S T 2012/13 48,190 11,353 872 5,945 1,993 12 1,962 569 8,698 631 3,759 453 920 2,936 24,334 6,005 1,323 1,146 3,836 1,160 2,472 1,476 709 1,353 2,611 1,402 137 468 235 2013/14 50,651 11,659 869 6,118 2,048 12 2,031 581 9,249 666 3,840 461 979 3,303 25,653 5,895 1,403 1,246 4,392 1,367 2,627 1,489 767 1,361 2,726 1,476 146 518 241 2014/15 53,279 11,932 903 6,253 2,108 14 2,065 590 9,967 787 4,287 487 1,038 3,368 26,886 6,081 1,495 1,241 4,315 1,516 2,798 1,405 962 1,690 2,868 1,556 153 558 247 2015/16 55,760 12,267 975 6,332 2,166 13 2,163 618 10,420 884 4,312 507 1,104 3,613 28,482 6,288 1,617 1,312 4,922 1,600 2,968 1,401 829 1,832 3,093 1,608 146 610 256 2016/17 57,971 12,469 1,016 6,423 2,201 14 2,187 628 10,768 802 4,405 549 1,179 3,834 30,091 6,419 1,674 1,410 5,657 1,618 3,133 1,359 789 1,870 3,375 1,687 142 691 266 3,806 3,806 4,090 4,090 4,494 4,494 4,591 4,591 4,642 4,642 221 Table 4.1 M (ii): Value added by Economic Activity at Constant Prices, Percentage change, FY ISIC GDP at market prices Agriculture, forestry and fishing Cash crops Food crops Livestock Agriculture Support Services Forestry Fishing Industry Mining & quarrying Manufacturing Electricity Water Construction Services Trade and Repairs Transportation and Storage Accommodation and Food Service Activities Information and Communication Financial and Insurance Activities Real Estate Activities Professional, Scientific and Technical Activities Administrative and Support Service Activities Public Administration Education Human Health and Social Work Activities Arts, Entertainment and Recreation Other Service Activities Activities of Households as Employers A AA AB AC AD AE AF B C D E F G H I J K L M N O P Q R S T 2012/13 3.6 1.9 -0.1 -0.3 2.5 7.8 11.2 -3.5 2.1 11.3 -2.5 9.9 6.3 4.2 5.4 2.7 4.9 5.1 18.0 8.1 4.8 0.5 -11.4 0.1 8.1 4.1 -2.8 5.1 2.1 2013/14 5.1 2.7 -0.3 2.9 2.7 0.5 3.5 2.1 6.3 5.7 2.2 1.9 6.3 12.5 5.4 -1.8 6.1 8.8 14.5 17.8 6.3 0.8 8.0 0.6 4.4 5.2 6.5 10.7 2.4 2014/15 5.2 2.3 4.0 2.2 2.9 17.6 1.7 1.5 7.8 18.1 11.6 5.7 6.1 1.9 4.8 3.2 6.6 -0.5 -1.8 10.9 6.5 -5.6 25.5 24.2 5.2 5.4 5.3 7.9 2.8 2015/16 4.7 2.8 7.9 1.3 2.8 -4.6 4.7 4.8 4.6 12.4 0.6 4.0 6.3 7.3 5.9 3.4 8.1 5.7 14.1 5.6 6.1 -0.3 -13.9 8.4 7.8 3.4 -5.0 9.2 3.4 2016/17 4.0 1.6 4.3 1.4 1.6 2.6 1.1 1.7 3.3 -9.3 2.1 8.3 6.8 6.1 5.7 2.1 3.6 7.5 14.9 1.1 5.6 -3.0 -4.8 2.1 9.1 4.9 -2.3 13.3 4.1 0.7 0.7 7.5 7.5 9.9 9.9 2.1 2.1 1.1 1.1 Adjustments Taxes on products Source: Uganda Bureau of Statistics Table 4.1 N (i): Value Contribution to GDP, FY added by Economic ISIC GDP at purchaser prices Agriculture, forestry and fishing Cash crops Food crops Livestock Agriculture Support Services Forestry Fishing Industry Mining & quarrying Manufacturing Electricity Water Construction Services Trade and Repairs Transportation and Storage Accommodation and Food Service Activities Information and Communication Financial and Insurance Activities Real Estate Activities Professional, Scientific and Technical Activities Administrative and Support Service Activities Public Administration Education Human Health and Social Work Activities Arts, Entertainment and Recreation Other Service Activities Activities of Households as Employers Adjustments Taxes on products Source: Uganda Bureau of Statistics A AA AB AC AD AE AF B C D E F G H I J K L M N O P Q R S T Activity at Current Prices, 2012/13 100.0 25.5 1.8 13.1 4.6 0.0 4.5 1.5 20.6 0.8 9.5 0.9 2.2 7.2 46.7 13.9 3.1 2.7 2.8 2.5 4.2 2.9 1.5 2.9 5.1 3.1 0.3 1.1 0.4 2013/14 100.0 25.1 1.5 13.3 4.4 0.0 4.3 1.5 20.4 0.8 8.5 0.9 2.6 7.7 47.1 12.8 3.3 2.8 3.1 2.8 4.4 2.6 1.6 2.8 5.7 3.3 0.3 1.2 0.4 2014/15 100.0 24.0 1.7 12.5 4.2 0.0 4.0 1.6 20.0 0.7 8.7 0.8 2.5 7.3 47.9 12.7 3.1 2.6 3.7 2.9 4.4 2.6 1.8 3.1 6.1 3.2 0.3 1.2 0.4 2015/16 100.0 23.7 1.7 12.1 4.3 0.0 3.9 1.6 20.7 0.7 8.7 1.0 2.7 7.6 47.6 12.8 3.1 2.6 2.6 3.1 4.6 2.6 1.6 3.1 6.4 3.2 0.3 1.2 0.3 2016/17 100.0 24.9 2.0 13.5 4.2 0.0 3.6 1.6 20.0 0.6 8.2 1.0 2.8 7.4 47.1 12.0 3.0 2.7 2.3 3.1 4.5 2.5 1.4 3.1 7.3 3.1 0.3 1.3 0.3 7.2 7.2 7.4 7.4 8.1 8.1 8.0 8.0 8.0 8.0 222 Table 4.1 N (ii): Value added by Economic Activity, Implicit Price Deflators, FY ISIC GDP at market prices Agriculture, forestry and fishing Cash crops Food crops Livestock Agriculture Support Services Forestry Fishing Industry Mining & quarrying Manufacturing Electricity Water Construction Services Trade and Repairs Transportation and Storage Accommodation and Food Service Activities Information and Communication Financial and Insurance Activities Real Estate Activities Professional, Scientific and Technical Activities Administrative and Support Service Activities Public Administration Education Human Health and Social Work Activities Arts, Entertainment and Recreation Other Service Activities Activities of Households as Employers A AA AB AC AD AE AF B C D E F G H I J K L M N O P Q R S T Adjustments Taxes on products Source: Uganda Bureau of Statistics 2012/13 132.3 143.1 131.6 140.0 146.1 197.0 147.6 164.9 151.2 85.0 161.8 123.9 151.9 155.8 122.4 147.7 148.5 151.5 47.3 138.4 107.6 126.0 138.0 137.8 125.2 141.7 138.2 152.7 112.8 2013/14 136.8 149.0 123.6 150.8 147.8 212.9 146.5 179.8 152.9 78.8 153.5 129.6 180.9 162.0 127.3 150.4 163.8 158.3 49.6 140.0 114.9 121.2 143.5 143.2 146.0 152.8 143.8 158.0 118.1 2014/15 143.6 153.8 144.5 152.4 151.1 215.1 149.1 207.0 153.6 67.1 155.4 130.8 182.8 165.9 136.4 159.6 156.4 157.4 65.0 144.3 120.3 142.8 146.6 141.1 161.6 157.7 147.3 161.0 122.1 2015/16 148.7 160.2 146.1 158.9 164.4 236.8 150.8 212.8 164.5 63.6 167.9 157.2 205.7 173.6 138.5 168.8 160.2 163.9 43.1 161.6 128.8 152.3 156.2 142.5 171.3 166.3 156.5 169.2 111.1 2016/17 157.6 182.4 176.6 192.2 174.9 240.6 148.7 233.5 169.5 72.3 169.8 164.1 215.0 176.3 143.0 171.4 163.7 178.0 37.9 173.1 132.6 169.3 164.1 150.7 197.3 169.9 165.1 175.0 113.5 120.0 120.0 125.1 125.1 137.5 137.5 145.2 145.2 157.5 157.5 Table 4.1 O (i): Monetary Value added by Economic Activity at Current prices, FY (Bill. Shs) ISIC GDP at market prices Agriculture, forestry and fishing Cash crops Food crops Livestock Agriculture Support Services Forestry Fishing Industry Mining & quarrying Manufacturing Electricity Water Construction Services Trade and Repairs Transportation and Storage Accommodation and Food Service Activities Information and Communication Financial and Insurance Activities Real Estate Activities Professional, Scientific and Technical Activities Administrative and Support Service Activities Public Administration Education Human Health and Social Work Activities Arts, Entertainment and Recreation Other Service Activities Activities of Households as Employers A AA AB AC AD AE AF B C D E F G H I J K L M N O P Q R S T 2012/13 50,363 11,289 1,147 4,520 2,490 23 2,236 872 11,680 536 5,878 561 214 4,492 27,394 8,869 1,965 1,736 1,816 1,606 274 1,860 979 1,864 3,270 1,987 189 714 265 2013/14 54,241 11,900 1,073 4,959 2,601 25 2,273 968 12,415 525 5,745 597 275 5,272 29,926 8,868 2,298 1,973 2,180 1,914 295 1,804 1,100 1,949 3,980 2,255 210 818 284 2014/15 60,036 12,885 1,305 5,370 2,724 30 2,325 1,132 13,515 528 6,542 637 297 5,511 33,636 9,707 2,338 1,953 2,805 2,188 328 2,007 1,410 2,385 4,635 2,454 226 899 302 2015/16 64,707 13,715 1,424 5,502 3,063 32 2,477 1,218 14,970 562 7,053 796 362 6,196 36,021 10,612 2,590 2,150 2,122 2,587 406 2,133 1,294 2,610 5,297 2,674 228 1,032 284 2016/17 70,725 15,803 1,794 6,814 3,316 33 2,485 1,360 15,586 579 7,013 900 409 6,684 39,337 11,005 2,741 2,509 2,145 2,800 450 2,301 1,295 2,819 6,659 2,865 235 1,210 302 223 Source: Uganda Bureau of Statistics Table 4.1 O (ii) Non-Monetary Value added by Economic Activity at Current prices, FY (Bill. Shs) ISIC GDP at market prices Agriculture, forestry and fishing Cash crops Food crops Livestock Agriculture Support Services Forestry Fishing Industry Mining & quarrying Manufacturing Electricity Water Construction Services Trade and Repairs Transportation and Storage Accommodation and Food Service Activities Information and Communication Financial and Insurance Activities Real Estate Activities Professional, Scientific and Technical Activities Administrative and Support Service Activities Public Administration Education Human Health and Social Work Activities Arts, Entertainment and Recreation Other Service Activities Activities of Households as Employers Source: Uganda Bureau of Statistics A AA AB AC AD AE AF B C D E F G H I J K L M N O P Q R S T 2012/13 8,809 4,952 3,803 422 660 67 1,469 203 1,184 83 2,387 2,387 - 2013/14 9,919 5,471 4,266 425 703 77 1,724 148 1,496 80 2,724 2,724 - 2014/15 10,300 5,465 4,162 461 754 89 1,796 119 1,601 77 3,039 3,039 - 2015/16 11,528 5,940 4,558 498 786 97 2,171 185 1,908 78 3,418 3,418 - 2016/17 13,316 6,941 5,533 533 768 107 2,670 467 2,125 78 3,706 3,706 - Table 4.1 P (i): Monetary Value added by Economic Activity, Constant 2009/10 prices, FY (Bill. Shs) ISIC GDP at market prices Agriculture, forestry and fishing Cash crops Food crops Livestock Agriculture Support Services Forestry Fishing Industry Mining & quarrying Manufacturing Electricity Water Construction Services Trade and Repairs Transportation and Storage Accommodation and Food Service Activities Information and Communication Financial and Insurance Activities Real Estate Activities Professional, Scientific and Technical Activities Administrative and Support Service Activities Public Administration Education Human Health and Social Work Activities Arts, Entertainment and Recreation Other Service Activities Activities of Households as Employers Source: Uganda Bureau of Statistics A AA AB AC AD AE AF B C D E F G H I J K L M N O P Q R S T 2012/13 38,391 7,873 872 3,183 1,722 12 1,557 528 7,774 631 3,661 453 164 2,866 22,744 6,005 1,323 1,146 3,836 1,160 882 1,476 709 1,353 2,611 1,402 137 468 235 2013/14 40,351 8,107 869 3,300 1,767 12 1,620 539 8,286 666 3,753 461 173 3,232 23,958 5,895 1,403 1,246 4,392 1,367 932 1,489 767 1,361 2,726 1,476 146 518 241 2014/15 42,478 8,456 903 3,524 1,820 14 1,649 546 8,945 787 4,195 487 181 3,296 25,078 6,081 1,495 1,241 4,315 1,516 990 1,405 962 1,690 2,868 1,556 153 558 247 2015/16 44,606 8,711 975 3,527 1,882 13 1,742 573 9,342 884 4,221 507 190 3,540 26,553 6,288 1,617 1,312 4,922 1,600 1,039 1,401 829 1,832 3,093 1,608 146 610 256 2016/17 46,590 8,928 1,016 3,638 1,916 14 1,761 583 9,629 802 4,313 549 206 3,760 28,033 6,419 1,674 1,410 5,657 1,618 1,075 1,359 789 1,870 3,375 1,687 142 691 266 224 Table 4.1 P (ii): Non-Monetary Value added by Economic Activity, Constant 2009/10 Prices, FY (Bill. Shs) ISIC GDP at market prices Agriculture, forestry and fishing Cash crops Food crops Livestock Agriculture Support Services Forestry Fishing Industry Mining & quarrying Manufacturing Electricity Water Construction Services Trade and Repairs Transportation and Storage Accommodation and Food Service Activities Information and Communication Financial and Insurance Activities Real Estate Activities Professional, Scientific and Technical Activities Administrative and Support Service Activities Public Administration Education Human Health and Social Work Activities Arts, Entertainment and Recreation Other Service Activities Activities of Households as Employers Source: Uganda Bureau of Statistics A AA AB AC AD AE AF B C D E F G H I J K L M N O P Q R S T 2012/13 5,993 3,479 2,762 271 405 42 924 98 756 70 1,590 1,590 - 2013/14 6,210 3,552 2,818 281 411 42 963 86 806 71 1,695 1,695 - 2014/15 6,306 3,477 2,729 288 416 43 1,021 91 858 72 1,808 1,808 - 2015/16 6,563 3,556 2,805 284 422 45 1,078 91 914 73 1,929 1,929 - 2016/17 6,738 3,541 2,785 284 426 46 1,139 91 973 74 2,058 2,058 - Table 4.1 Q (i): Formal sector Value added by Economic Activity, Current prices, FY (Bill. Shs) ISIC GDP at market prices Agriculture, forestry and fishing Cash crops Food crops Livestock Agriculture Support Services Forestry Fishing Industry Mining & quarrying Manufacturing Electricity Water Construction Services Trade and Repairs Transportation and Storage Accommodation and Food Service Activities Information and Communication Financial and Insurance Activities Real Estate Activities Professional, Scientific and Technical Activities Administrative and Support Service Activities Public Administration Education Human Health and Social Work Activities Arts, Entertainment and Recreation Other Service Activities Activities of Households as Employers Source: Uganda Bureau of Statistics AA AB AC AD AE AF B C D E F G H I J K L M N O P Q R S T 2012/13 30,721 2,211 1,147 23 1,041 8,913 85 3,839 1,399 59 3,531 19,597 4,824 864 623 1,773 1,606 73 1,844 911 1,864 2,711 1,857 178 469 - 2013/14 33,515 2,146 1,073 25 1,048 9,772 77 3,694 1,770 76 4,155 21,597 4,821 1,008 713 2,143 1,914 81 1,791 1,041 1,949 3,287 2,104 199 543 - 2014/15 37,539 2,331 1,305 30 996 10,540 42 4,197 1,898 88 4,314 24,668 5,209 1,092 683 2,753 2,188 95 1,992 1,341 2,385 3,829 2,287 216 598 - 2015/16 40,708 2,539 1,424 32 1,084 12,091 47 4,830 2,270 115 4,829 26,077 5,556 1,327 748 2,049 2,587 96 2,117 1,227 2,610 4,371 2,487 217 685 - 2016/17 44,224 2,922 1,794 33 1,094 12,819 74 4,854 2,534 139 5,218 28,484 5,784 1,426 831 2,079 2,800 67 2,279 1,228 2,819 5,485 2,662 221 803 - 225 Table 4.1 Q (ii): Informal sector Value added by Economic Activity, Current prices, FY (Bill. Shs) ISIC Total Informal sectore GDP at market prices Agriculture, forestry and fishing Cash crops Food crops Livestock Agriculture Support Services Forestry Fishing Industry Mining & quarrying Manufacturing Electricity Water Construction Services Trade and Repairs Transportation and Storage Accommodation and Food Service Activities Information and Communication Financial and Insurance Activities Real Estate Activities Professional, Scientific and Technical Activities Administrative and Support Service Activities Public Administration Education Human Health and Social Work Activities Arts, Entertainment and Recreation Other Service Activities Activities of Households as Employers Source: Uganda Bureau of Statistics AA AB AC AD AE AF B C D E F G H I J K L M N O P Q R S T 2012/13 29,289 14,030 8,323 2,912 1,856 939 5,074 450 2,242 1,339 1,043 10,184 4,045 1,101 1,113 43 2,588 16 68 559 131 11 245 265 2013/14 31,818 15,224 9,225 3,027 1,928 1,045 5,541 448 2,200 1,695 1,198 11,053 4,047 1,289 1,259 37 2,937 12 58 692 151 10 274 284 2014/15 34,057 16,019 9,532 3,184 2,082 1,221 6,031 486 2,463 1,810 1,273 12,007 4,497 1,246 1,270 52 3,272 15 69 806 167 10 301 302 2015/16 37,001 17,115 10,060 3,561 2,179 1,315 6,524 516 2,408 2,155 1,445 13,362 5,056 1,263 1,402 72 3,728 17 67 927 187 11 347 284 2016/17 41,451 19,822 12,347 3,849 2,159 1,467 7,071 505 2,627 2,395 1,544 14,558 5,221 1,316 1,678 66 4,089 22 67 1,174 204 14 407 302 Table 4.1 R (i): Formal sector Value added by Economic Activity, Constant 2009/10 prices, FY (Bill. Shs) ISIC GDP at market prices Agriculture, forestry and fishing Cash crops Food crops Livestock Agriculture Support Services Forestry Fishing Industry Mining & quarrying Manufacturing Electricity Water Construction Services Trade and Repairs Transportation and Storage Accommodation and Food Service Activities Information and Communication Financial and Insurance Activities Real Estate Activities Professional, Scientific and Technical Activities Administrative and Support Service Activities Public Administration Education Human Health and Social Work Activities Arts, Entertainment and Recreation Other Service Activities Activities of Households as Employers AA AB AC AD AE AF B C D E F G H I J K L M N O P Q R S T 2012/13 24,234 1,762 872 12 878 5,708 41 2,428 920 69 2,250 16,764 3,179 660 501 3,795 1,160 52 1,460 660 1,353 2,196 1,311 129 308 - 2013/14 25,855 1,815 869 12 934 6,171 48 2,528 979 75 2,542 17,869 3,160 680 542 4,355 1,367 56 1,473 726 1,361 2,288 1,378 139 345 - 2014/15 27,097 1,848 903 14 931 6,541 81 2,770 1,038 78 2,573 18,707 3,272 721 496 4,270 1,516 64 1,389 914 1,690 2,405 1,451 146 373 - 2015/16 28,850 2,020 975 13 1,032 6,855 61 2,854 1,104 84 2,753 19,975 3,505 791 506 4,862 1,600 61 1,389 786 1,832 2,603 1,497 137 406 - 2016/17 30,448 2,072 1,016 14 1,042 7,122 40 2,879 1,179 95 2,929 21,255 3,684 795 534 5,600 1,618 40 1,347 748 1,870 2,858 1,567 133 461 - 226 Source: Uganda Bureau of Statistics Table 4.1 R (ii): Informal sector Production by Economic Activity, Constant 2009/10 prices, FY (Bill. Shs) ISIC Total Informal sectore GDP at market prices Agriculture, forestry and fishing Cash crops Food crops Livestock Agriculture Support Services Forestry Fishing Industry Mining & quarrying Manufacturing Electricity Water Construction Services Trade and Repairs Transportation and Storage Accommodation and Food Service Activities Information and Communication Financial and Insurance Activities Real Estate Activities Professional, Scientific and Technical Activities Administrative and Support Service Activities Public Administration Education Human Health and Social Work Activities Arts, Entertainment and Recreation Other Service Activities Activities of Households as Employers Source: Uganda Bureau of Statistics A AA AB AC AD AE AF B C D E F G H I J K L M N O P Q R S T 2012/13 20,619 9,591 5,945 1,993 1,084 569 3,458 590 1,331 851 686 7,570 2,827 663 645 42 2,420 16 49 415 92 8 159 235 2013/14 21,223 9,844 6,118 2,048 1,097 581 3,596 618 1,312 904 762 7,784 2,734 723 705 38 2,571 16 41 438 98 7 172 241 2014/15 22,239 10,084 6,253 2,108 1,134 590 3,977 705 1,517 960 794 8,178 2,809 775 745 45 2,734 16 47 463 105 7 185 247 2015/16 22,916 10,247 6,332 2,166 1,131 618 4,162 823 1,458 1,020 860 8,507 2,783 826 805 61 2,908 12 43 490 112 8 204 256 2016/17 23,510 10,397 6,423 2,201 1,145 628 4,276 761 1,526 1,084 905 8,837 2,735 880 876 58 3,093 12 41 517 119 10 230 266 Table 4.1 S (i): GDP by Expenditure at Current prices, FY (Bill. Shs) Final Consumption Expenditure General Government FCE NPISH FCE Household FCE Gross Fixed Capital Formation Dwellings Other Buildings Other Structures Transport Equipment ICT Equipment Other Machinery and Equipment Biological Resources Reasearch and Development Mineral and Petroleum Exploration Changes in Inventories Acquisitions less Disposals of Valuables Exports less Imports of Goods and Services Exports Goods Services Less Imports Goods Services Statistical Discrepancy GDP at Market Prices Source: Uganda Bureau of Statistics 2012/13 52,228 5,095 1,093 46,040 17,807 4,527 6,303 920 1,565 617 3,645 113 1 117 264 7 -6,566 12,938 7,547 5,391 19,504 13,038 6,465 2013/14 57,284 5,877 1,238 50,169 18,586 5,208 7,115 1,023 1,603 639 2,744 132 1 121 313 3 -6,911 12,588 6,868 5,719 19,499 12,878 6,620 2014/15 65,922 7,118 1,401 57,403 18,500 5,287 7,293 1,034 1,362 429 2,822 145 1 128 336 4 -8,245 14,113 7,751 6,362 22,358 14,092 8,266 2015/16 70,080 6,233 1,313 62,534 20,723 5,873 8,023 1,181 1,472 645 3,284 183 1 62 434 5 -8,339 15,405 9,247 6,158 23,743 15,771 7,972 2016/17 76,260 7,352 1,592 67,316 21,390 6,372 8,724 1,251 1,145 476 3,094 188 1 137 450 6 -6,755 16,911 11,217 5,693 23,666 16,128 7,538 63,740 69,276 76,517 82,903 91,351 227 Table 4.1 S (ii): GDP by Expenditure at Constant 2009/10 prices, FY (Bill. Shs) 2012/13 2013/14 2014/15 2015/16 2016/17 40,147 41,353 46,175 45,836 46,483 4,282 4,605 5,318 5,049 4,497 788 818 854 887 925 Household FCE 35,077 35,930 40,003 39,900 41,062 Gross Fixed Capital Formation 13,222 13,522 13,449 14,578 14,593 Dwellings 3,312 3,783 3,851 4,139 4,403 Other Buildings 4,552 5,095 5,207 5,577 5,937 Final Consumption Expenditure General Government FCE NPISH FCE Other Structures 657 723 730 789 818 1,217 1,194 1,018 1,044 774 466 486 326 467 338 2,842 2,046 2,106 2,331 2,090 70 80 85 93 92 1 1 1 1 1 Mineral and Petroleum Exploration 106 113 126 137 140 Changes in Inventories 164 192 197 197 197 5 2 3 3 4 -5,347 -4,418 -6,546 -4,855 -3,307 Exports 9,023 9,023 8,809 9,067 8,871 Goods 5,224 5,070 4,854 5,488 5,825 Services 3,799 3,953 3,955 3,579 3,046 Transport Equipment ICT Equipment Other Machinery and Equipment Biological Resources Reasearch and Development Acquisitions less Disposals of Valuables Exports less Imports of Goods and Services Less Imports 14,370 13,440 15,354 13,922 12,178 Goods 9,498 8,428 8,445 8,459 8,158 Services 4,873 5,013 6,909 5,463 4,020 48,190 50,651 53,279 55,760 57,971 Statistical Discrepancy GDP at Market Prices Source: Uganda Bureau of Statistics Table 4.1 S (iii): GDP by Expenditure, Annual Percentage Change, FY Final Consumption Expenditure General Government FCE NPISH FCE Household FCE Gross Fixed Capital Formation Dwellings Other Buildings Other Structures Transport Equipment ICT Equipment Other Machinery and Equipment Biological Resources Reasearch and Development Mineral and Petroleum Exploration Changes in Inventories Acquisitions less Disposals of Valuables Exports less Imports of Goods and Services Exports Goods Services Less Imports Goods Services GDP at Market Prices Source: Uganda Bureau of Statistics 2012/13 0.0% 0.1% 3.9% -0.1% 9.9% 3.3% 4.8% 5.4% 12.0% -9.1% 35.2% 16.2% 2.9% 6.8% 18.2% -31.3% -7.8% 6.9% 10.1% 2.9% 0.9% -1.5% 6.1% 2013/14 3.0% 7.5% 3.8% 2.4% 2.3% 14.2% 11.9% 10.1% -1.8% 4.4% -28.0% 15.5% 6.2% 5.8% 16.8% -59.5% -17.4% 0.0% -2.9% 4.0% -6.5% -11.3% 2.9% 2014/15 11.7% 15.5% 4.5% 11.3% -0.5% 1.8% 2.2% 1.0% -14.8% -33.0% 2.9% 5.5% -0.9% 11.5% 3.0% 32.5% 48.2% -2.4% -4.3% 0.1% 14.2% 0.2% 37.8% 2015/16 -0.7% -5.1% 3.8% -0.3% 8.4% 7.5% 7.1% 8.0% 2.6% 43.4% 10.7% 9.9% 2.8% 8.9% 0.0% 24.1% -25.8% 2.9% 13.1% -9.5% -9.3% 0.2% -20.9% 2016/17 1.4% -10.9% 4.3% 2.9% 0.1% 6.4% 6.5% 3.6% -25.9% -27.6% -10.3% -0.9% -7.2% 2.7% 0.0% 16.7% -31.9% -2.2% 6.2% -14.9% -12.5% -3.6% -26.4% 3.6% 5.1% 5.2% 4.7% 4.0% 228 Table 4.1 S (iv): GDP by Expenditure, Implicit Price Deflator, FY VOLUME INDEX 2009/10 = 100 2012/13 2013/14 2014/15 2015/16 2016/17 Final Consumption Expenditure 114.1 117.6 131.3 130.3 132.1 General Government FCE 109.0 117.2 135.3 128.5 114.4 NPISH FCE 110.2 114.4 119.5 124.1 129.4 Household FCE 114.9 117.7 131.0 130.7 134.5 Gross Fixed Capital Formation 127.9 130.8 130.1 141.1 141.2 Dwellings 126.4 144.4 147.0 158.0 168.0 Other Buildings 124.1 139.0 142.0 152.1 161.9 Other Structures 119.5 131.6 132.9 143.5 148.8 Transport Equipment 153.2 150.4 128.2 131.5 97.4 ICT Equipment 103.9 108.5 72.7 104.3 75.5 Other Machinery and Equipment 134.0 96.4 99.3 109.9 98.5 Biological Resources 121.7 140.5 148.3 162.9 161.4 Reasearch and Development 115.0 122.2 121.1 124.5 115.6 Mineral and Petroleum Exploration 138.5 146.5 163.4 178.0 182.7 Changes in Inventories 124.4 145.3 149.7 149.7 149.7 Acquisitions less Disposals of Valuables 109.8 44.5 59.0 73.2 85.5 Exports less Imports of Goods and Services 114.0 94.1 139.5 103.5 70.5 Exports 128.6 128.6 125.5 129.2 126.4 Goods 111.5 108.3 103.6 117.2 124.4 Services 162.9 169.4 169.5 153.4 130.5 Less Imports 122.7 114.8 131.1 118.9 104.0 Goods 113.5 100.7 100.9 101.1 97.5 Services 145.9 150.1 206.9 163.6 120.4 117.7 123.7 130.1 136.1 141.5 Statistical Discrepancy GDP at Market Prices Source: Uganda Bureau of Statistics 229 Table 4.1 T: Balance of Payment Statement (Mill. US$), 2012 – 2016, Calendar year Current account Credit Debit Goods Credit (exports) Debit (imports) Services Credit Debit Primary income Credit Debit Secondary income Credit Debit Capital account Credit Debit Net lending (+) / net borrowing (-) (balance from Financial account current and capital account) Net lending (+) / net borrowing (-) (balance from investment financialDirect account) (B9) Net acquisition of financial assets Equity and investment fund shares Debt instruments Net incurrence of liabilities Equity and investment fund shares Debt instruments Portfolio investment Net acquisition of financial assets Equity and investment fund shares Debt securities Net incurrence of liabilities Equity and investment fund shares Debt securities Financial derivatives (other than reserves) and Net acquisition employee stock options of financial assets Net incurrence of liabilities Other investment Net acquisition of financial assets Net incurrence of liabilities Net errors and omissions Overall Balance Reserves and related Items Reserve assets Use of Fund Credit and loans Exceptional financing Source: Bank of Uganda 2012 -1,666 6,770 8,436 -2,451 2,810 5,262 -361 2,125 2,487 -465 75 540 1,612 1,759 148 22 22 0 -1,644 2013 -1,805 6,779 8,584 -2,145 2,829 4,974 -276 2,498 2,775 -640 -12 627 1,257 1,464 208 80 80 0 -1,725 2014 -2,374 6,220 8,594 -2,375 2,725 5,100 -701 2,007 2,708 -565 28 594 1,267 1,460 193 95 95 0 -2,280 2015 -1,785 6,411 8,196 -2,288 2,667 4,955 -429 2,192 2,621 -436 32 468 1,368 1,519 151 108 108 0 -1,677 2016 -1,088 6,065 7,153 -1,366 2,921 4,287 -547 1,576 2,122 -558 24 582 1,383 1,545 161 150 150 0 -937 -1,619 -1,159 46 47 -1 1,205 922 284 -3 9 6 3 12 14 -2 -4 15 19 -453 328 780 560 -1,362 -1,143 -47 -46 -1 1,096 848 248 14 194 18 176 180 95 85 -2 7 9 -232 459 691 592 -1,825 -1,032 27 1 26 1,059 741 317 -33 148 26 122 181 5 176 -3 10 13 -757 -458 300 671 -683 -538 0 0 0 538 353 186 212 165 111 54 -47 10 -57 -5 15 20 -352 528 881 604 -829 -541 0 0 0 541 460 81 79 122 37 85 43 4 39 -1 8 10 -366 192 558 427 -534 534 529 -2 -4 -230 230 223 -2 -4 -216 216 211 -2 -3 390 -390 -392 -1 -0 -319 319 317 -0 -2 230 Table 4.1 U: Balance of Payment (Mill. US$), 2012/13 – 2016/17, Fiscal year Current account Credit Debit Goods Credit (exports) Debit (imports) Services Credit Debit Primary income Credit Debit Secondary income Credit Debit Capital account Credit Debit Net lending (+) / net borrowing (-) (balance from Financial account current and capital account) Net lending (+) / net borrowing (-) (balance from investment financialDirect account) (B9) Net acquisition of financial assets Equity and investment fund shares Debt instruments Net incurrence of liabilities Equity and investment fund shares Debt instruments Portfolio investment Net acquisition of financial assets Equity and investment fund shares Debt securities Net incurrence of liabilities Equity and investment fund shares Debt securities Financial derivatives (other than reserves) and Net acquisition employee stock options of financial assets Net incurrence of liabilities Other investment Net acquisition of financial assets Net incurrence of liabilities Net errors and omissions Overall Balance Reserves and related Items Reserve assets Use of Fund Credit and loans Exceptional financing Source: Bank of Uganda **Provisional figures 2012/13 -1,582 6,717 8,299 -2,123 2,912 5,035 -405 2,139 2,544 -528 33 561 1,473 1,632 159 33 33 0 -1,550 0 -1,486 -940 -0 1 -1 939 706 233 47 76 9 66 29 104 -74 -1 8 8 -592 129 721 402 -338 338 332 -2 -4 2013/14 -2,106 6,453 8,559 -2,367 2,706 5,074 -331 2,341 2,672 -613 6 619 1,204 1,398 194 91 91 0 -2,015 0 -1,722 -1,087 -10 -23 13 1,077 795 282 -25 210 18 191 235 5 230 -1 9 10 -609 -145 463 672 -378 378 372 -2 -5 2014/15 -1,958 6,513 8,470 -2,250 2,738 4,988 -561 2,219 2,780 -492 25 516 1,345 1,531 186 99 99 0 -1,859 0 -853 -785 14 0 13 799 547 251 196 204 137 67 8 9 -1 -5 12 17 -258 277 535 653 353 -353 -355 -2 -0 2015/16 -1,522 6,110 7,632 -1,887 2,688 4,574 -555 1,823 2,378 -492 41 533 1,411 1,558 147 120 120 0 -1,402 0 -940 -530 0 0 0 530 432 98 154 126 45 82 -27 6 -33 -3 13 15 -561 96 657 564 -101 101 99 -1 -2 2016/17 -841 6,485 7,326 -1,250 3,148 4,398 -519 1,616 2,134 -587 13 600 1,515 1,708 193 168 168 0 -673 0 -603 -413 0 0 0 413 310 104 138 74 -4 78 -64 3 -67 -0 5 5 -327 132 459 284 -319 319 317 0 -2 231 4.2 Price Statistics Table 4.2 A: National CPI Breakdown by Major Groups, Uganda (Base: 2009/10 = 100) Energy Food Fuel and Crops and Core Annual percent changes Energy Food Core Fuel and Crops All items Weights 74.4556 101.6003 Utilities Related Calendar year Items 2013 154.84 146.6 2014 157.53 157.75 2015 163.1 168.33 2016 169.45 173.47 Financial year 2012/13 152.9 139.43 2013/14 155.92 157.79 2014/15 158.66 160.04 2015/16 169.32 168.86 Source: Uganda Bureau of Statistics 823.9441 1000 index Utilities All items and index 136.32 139.88 147.47 156.25 138.74 143.01 150.76 158.98 2.3 1.7 3.5 3.9 Related 0.7 Items7.6 6.7 3.1 132.24 138.37 142.82 152.36 134.51 141.65 145.75 155.30 5.7 2 1.8 6.7 -0.2 13.2 1.4 5.5 5.8 2.6 5.4 6 4.9 3.1 5.4 5.5 5.4 4.6 3.2 6.7 4.8 5.3 2.9 6.6 Table 4.2 B: National CPI for Food and Non Food, Uganda (Base: 2009/10 = 100) Annual percent changes All Items Non - Food All Items Food Non - Food Weights 267.7624 Calendar year 2013 144.365 2014 149.743 2015 160.765 2016 169.902 Financial year 2012/13 140.001 2013/14 149.100 2014/15 153.093 2015/16 165.499 Source: Uganda Bureau of Statistics 732.2376 Index 1,000.00 136.686 140.548 147.096 154.991 138.742 143.010 150.756 158.983 2.2 3.7 7.4 5.7 6.0 2.8 4.7 5.4 4.9 3.1 5.4 5.5 132.501 138.925 143.063 151.566 134.509 141.649 145.749 155.297 0.2 6.5 2.7 8.1 6.7 4.8 3.0 5.9 4.8 5.3 2.9 6.6 Food Index Table 4.2 C: National CPI Breakdown for Food Crops, Other Goods and Services, Uganda (2009/10 = 100) Weight Calendar Year s 2013 2014 2015 2016 Financial Year 2012/13 2013/14 2014/15 2015/16 Food 101.600 Crops Other 482.45 Goods Service s341.491 Energy 74.455 Fuel & All Items 1,000.0 Index 3 146.60 157.75 168.33 173.47 3 139.36 142.20 150.16 159.45 132.03 136.60 143.67 151.74 Utilities6 154.84 157.53 163.10 169.45 0 138.74 143.01 150.76 158.98 139.43 157.79 160.04 168.86 136.22 140.89 145.12 155.72 126.61 134.81 139.57 147.61 152.90 155.92 158.66 169.32 134.51 141.65 145.75 155.30 Food Annual percent Change Other Service Energy All Crop Good Fuel & Item s s s 0.7 7.6 6.7 3.1 -0.2 13.2 1.4 5.5 s 3.7 2.0 5.6 6.2 9.0 3.5 5.2 5.6 Utilitie 2.3 s 1.7 3.5 3.9 3.1 3.4 3.0 7.3 9.1 6.5 3.5 5.8 5.7 2.0 1.8 6.7 4.9 Inde 3.1 x 5.4 5.5 4.8 5.3 2.9 6.6 Source: Uganda Bureau of Statistics 232 Table 4.2 D: National Annual Average CPI by COICOP Divisions, Uganda (2009/10 = 100) Calendar year Division Weights 2012 2013 2014 2015 2016 284.6198 141.48 144.78 149.79 160.74 169.67 Alcoholic Beverages, Tobacco & Narcotics 27.9824 127.82 142.09 143.45 145.60 153.47 Clothing And Footwear 50.8029 146.22 153.86 160.98 171.48 184.85 119.4255 144.40 153.47 158.03 167.34 176.11 38.6638 143.51 151.71 156.96 163.32 170.66 57.5151 131.05 140.74 146.80 150.36 155.03 Food And Non-Alcoholic Beverages Housing, Water, Electricity, Gas And Other Fuels Furnishings, Household Equipment And Routine Household Maintenance Health Transport 137.7904 124.16 129.02 129.39 132.46 138.30 Communication 51.8153 91.41 92.80 96.55 110.07 106.14 Recreation And Culture 55.1688 114.10 117.71 120.11 122.08 124.75 Education 55.0753 117.87 135.15 147.74 157.13 180.44 Restaurants And Hotels 57.2272 129.82 138.22 139.73 145.08 154.02 Miscellaneous Goods And Services 63.9136 134.44 141.13 144.08 150.63 160.64 1,000.0000 132.26 138.74 143.01 150.76 158.98 4.9 3.1 5.4 5.5 All Items Index Annual percent change Financial year Food And Non-Alcoholic Beverages Alcoholic Beverages, Tobacco & Narcotics Clothing And Footwear Housing, Water, Electricity, Gas And Other 2011/12 2012/13 2013/14 2014/15 2015/16 284.6198 139.69 140.47 149.23 153.16 165.48 27.9824 123.53 134.99 143.18 143.91 149.86 50.8029 143.11 146.10 158.70 164.67 179.68 119.4255 136.30 149.26 155.80 161.24 173.70 38.6638 138.23 146.91 154.43 160.26 167.09 57.5151 120.41 136.44 144.28 148.66 152.52 Fuels Furnishings, Household Equipment And Routine Household Maintenance Health Transport 137.7904 121.91 126.51 129.96 129.52 136.12 Communication 51.8153 91.87 91.98 92.98 103.78 109.66 Recreation And Culture 55.1688 113.05 115.37 119.21 120.77 123.48 Education 55.0753 111.31 125.51 141.61 152.83 165.86 Restaurants And Hotels 57.2272 124.23 134.42 139.41 141.56 149.49 63.9136 129.19 137.81 143.18 146.41 155.83 1,000.0000 128.32 134.51 141.65 145.75 155.30 4.8 5.3 2.9 6.6 Miscellaneous Goods And Services All Items Index Annual percent change Source: Uganda Bureau of Statistics 233 Table 4.2 E: National Annual Average Inflation by COICOP Divisions, Uganda (Base: 2009/10 = 100) Calendar year Division Food And Non-Alcoholic Beverages 2013 2014 2015 2016 2.3 3.5 7.3 5.6 11.2 1.0 1.5 5.4 Clothing And Footwear 5.2 4.6 6.5 7.8 Housing, Water, Electricity, Gas And Other Fuels 6.3 3.0 5.9 5.2 Furnishings, 5.7 3.5 4.1 4.5 Health 7.4 4.3 2.4 3.1 Transport 3.9 0.3 2.4 4.4 Communication 1.5 4.0 14.0 -3.6 Recreation And Culture 3.2 2.0 1.6 2.2 Alcoholic Beverages, Tobacco & Narcotics Household Equipment And Routine Household Maintenance Education 14.7 9.3 6.4 14.8 Restaurants And Hotels 6.5 1.1 3.8 6.2 Miscellaneous Goods And Services 5.0 2.1 4.5 6.6 Headline Inflation 4.9 3.1 5.4 5.5 Financial year 2012/13 2013/14 2014/15 2015/16 Food And Non-Alcoholic Beverages 0.6 6.2 2.6 8.0 Alcoholic Beverages, Tobacco & Narcotics 9.3 6.1 0.5 4.1 Clothing And Footwear 2.1 8.6 3.8 9.1 Housing, Water, Electricity, Gas And Other Fuels 9.5 4.4 3.5 7.7 Furnishings, 6.3 5.1 3.8 4.3 13.3 5.8 3.0 2.6 Transport 3.8 2.7 -0.3 5.1 Communication 0.1 1.1 11.6 5.7 Household Equipment And Routine Household Maintenance Health Recreation And Culture 2.1 3.3 1.3 2.2 12.8 12.8 7.9 8.5 Restaurants And Hotels 8.2 3.7 1.5 5.6 Miscellaneous Goods And Services 6.7 3.9 2.3 6.4 Headline Inflation 4.8 5.3 2.9 6.6 Education Source: Uganda Bureau of Statistics 234 Table 4.2F: Annual Average CPI by COICOP Divisions - Kampala High Income (Base: 2009/10 = 100) Calendar year Division Weights 2012 2013 2014 2015 2016 Food And Non-Alcoholic Beverages 72.1781 136.51 142.92 151.06 165.34 172.99 Alcoholic Beverages, Tobacco & Narcotics 7.2825 123.93 130.26 131.75 133.92 145.79 Clothing And Footwear 16.8130 148.34 155.89 165.80 170.25 181.47 144.37 155.75 160.72 168.02 177.43 138.93 148.84 155.64 164.89 173.38 Housing, Water, Electricity, Gas And Other Fuels Furnishings, Household Equipment And Routine Household Maintenance 38.6811 8.4927 Health 19.2376 133.51 144.60 151.64 149.86 148.33 Transport 62.5185 121.44 126.63 126.76 130.20 138.49 Communication 21.8627 93.44 95.26 98.88 114.65 109.98 Recreation And Culture 20.0612 109.95 109.76 110.41 112.32 114.93 Education 16.8501 119.31 138.89 157.07 170.26 209.32 Restaurants And Hotels 12.8128 115.90 121.23 121.60 125.62 133.50 Miscellaneous Goods And Services 17.1861 140.03 146.48 152.85 165.75 179.73 All Items Index 313.9763 128.43 135.58 140.90 149.00 157.60 5.6 3.9 5.7 5.8 Annual percent change Financial year 2011/12 2012/13 2013/14 2014/15 2015/16 Food And Non-Alcoholic Beverages 72.1781 133.88 137.71 148.99 156.03 169.98 Alcoholic Beverages, Tobacco & Narcotics 7.2825 119.44 127.44 131.47 131.66 140.55 Clothing And Footwear 16.8130 141.04 148.69 161.91 166.67 176.46 136.50 151.77 157.55 162.57 175.00 131.35 144.02 151.78 161.52 168.45 Housing, Water, Electricity, Gas And Other Fuels Furnishings, Household Equipment And Routine Household Maintenance 38.6811 8.4927 Health 19.2376 120.74 139.57 149.31 151.94 148.30 Transport 62.5185 120.08 123.77 127.70 126.73 134.69 Communication 21.8627 94.14 94.35 95.08 107.06 114.41 Recreation And Culture 20.0612 108.60 109.62 109.97 111.04 113.96 Education 16.8501 111.90 127.55 146.16 166.06 182.52 Restaurants And Hotels 12.8128 115.02 118.06 121.63 122.73 129.52 Miscellaneous Goods And Services 17.1861 136.27 142.30 151.16 158.30 172.42 All Items Index 313.9763 124.43 131.39 138.79 143.92 153.57 5.6 5.6 3.7 6.7 Annual percent change Source: Uganda Bureau of Statistics 235 Table 4.2G: Annual Average CP I by COICOP Divisions - Kampala Middle Income (2009/10 = 100) Calendar year Division Food And Non-Alcoholic Beverages Alcoholic Beverages, Tobacco & Narcotics Weights 2012 2013 2014 2015 2016 43.8532 142.44 146.39 150.45 162.63 167.89 3.4758 125.04 139.43 141.24 144.16 155.93 Clothing And Footwear 10.9655 147.44 153.99 162.91 174.91 190.02 Housing, Water, Electricity, Gas And Other Fuels 23.2606 152.67 161.75 164.05 179.30 185.68 142.30 153.95 161.90 167.10 175.19 7.7377 124.92 134.33 137.49 134.63 133.99 17.4231 120.26 127.87 127.82 128.44 132.34 Furnishings, Household Equipment And Routine Household Maintenance Health Transport 8.0563 Communication 7.8272 92.79 94.56 98.26 113.67 108.82 Recreation And Culture 6.4939 110.91 110.09 111.07 112.70 116.31 Education 9.4122 119.82 142.15 162.50 179.28 204.67 Restaurants And Hotels 7.8560 118.63 125.71 127.41 134.05 141.03 10.2473 133.89 142.64 143.65 148.96 160.65 156.6087 133.68 141.15 145.45 154.76 161.86 5.6 3.0 6.4 4.6 Miscellaneous Goods And Services All Items Index Annual percent change Financial year 2011/12 2012/13 2013/14 2014/15 2015/16 43.8532 142.78 140.84 150.37 154.88 165.67 3.4758 121.05 132.28 140.92 141.64 151.02 Clothing And Footwear 10.9655 145.87 145.48 159.97 167.34 184.24 Housing, Water, Electricity, Gas And Other Fuels 23.2606 143.88 156.87 162.90 170.93 183.05 137.86 146.57 157.86 165.62 170.10 Food And Non-Alcoholic Beverages Alcoholic Beverages, Tobacco & Narcotics Furnishings, Household Equipment And Routine Household Maintenance 8.0563 Health 7.7377 114.34 130.84 136.66 135.64 134.96 Transport 17.4231 117.68 123.01 129.90 127.38 131.44 Communication 7.8272 93.45 93.62 94.43 106.38 113.33 Recreation And Culture 6.4939 109.71 110.02 110.59 111.13 114.98 Education 9.4122 111.94 129.03 150.52 174.26 189.26 Restaurants And Hotels 7.8560 116.95 122.20 126.76 129.69 137.68 10.2473 128.54 138.20 144.23 144.23 155.03 156.6087 130.31 135.72 144.10 149.35 158.73 22.9 4.2 6.2 3.6 6.3 Miscellaneous Goods And Services All Items Index Annual percent change Source: Uganda Bureau of Statistics 236 Table 4.2H: Annual Average CPI by COICOP Divisions - Kampala Low Income (Base: 2009/10 = 100) Calendar year Division Food And Non-Alcoholic Beverages Weights 2012 2013 2014 2015 2016 31.9697 140.12 142.72 145.38 156.42 165.46 Alcoholic Beverages, Tobacco & Narcotics 1.9356 127.96 144.22 145.53 150.49 156.49 Clothing And Footwear 4.2591 151.44 152.70 159.64 179.95 199.67 135.82 143.89 152.79 159.30 164.11 146.16 149.86 155.31 157.58 154.94 Housing, Water, Electricity, Gas And Other Fuels 12.5648 Furnishings, Household Equipment And Routine Household Maintenance 3.8595 Health 6.2748 125.00 133.09 137.65 146.35 154.08 Transport 10.2975 126.13 133.28 133.04 134.70 136.35 Communication 3.8199 83.34 84.17 88.12 95.32 87.91 Recreation And Culture 5.9131 116.19 119.11 121.65 124.79 128.08 Education 7.2248 123.91 153.44 161.73 174.06 216.83 Restaurants And Hotels 4.9872 135.47 147.41 151.31 157.42 169.63 6.9629 130.44 139.99 142.15 146.21 161.19 100.0688 132.01 139.21 143.21 151.26 160.91 5.4 2.9 5.6 6.4 Miscellaneous Goods And Services All Items Index Annual percent change Financial year 2011/12 2012/13 2013/14 2014/15 2015/16 31.9697 142.54 136.94 146.58 148.55 161.40 Alcoholic Beverages, Tobacco & Narcotics 1.9356 122.68 136.51 145.13 146.82 154.48 Clothing And Footwear 4.2591 159.11 144.34 157.69 167.63 192.74 131.78 136.96 150.94 154.66 164.67 140.45 147.65 153.34 156.23 156.85 Food And Non-Alcoholic Beverages Housing, Water, Electricity, Gas And Other Fuels 12.5648 Furnishings, Household Equipment And Routine Household Maintenance 3.8595 Health 6.2748 117.52 130.66 133.98 141.88 151.37 Transport 10.2975 124.15 128.63 134.87 132.69 136.69 Communication 3.8199 83.10 83.06 84.75 93.85 91.08 Recreation And Culture 5.9131 116.60 116.59 120.95 122.66 126.74 Education 7.2248 115.84 134.24 163.09 162.13 194.71 Restaurants And Hotels 4.9872 130.11 141.27 150.00 153.56 161.52 Miscellaneous Goods And Services 6.9629 124.57 135.08 142.06 143.54 153.72 100.0688 130.37 133.05 143.01 145.60 156.81 23.9 2.1 7.5 1.8 7.7 All Items Index Annual percent change Source: Uganda Bureau of Statistics 237 Table 4.2I: Annual Average CPI by COICOP Divisions - Masaka (Base: 2009/10 = 100) Calendar year Division Weights Food And Non-Alcoholic Beverages Alcoholic Beverages, Tobacco & Narcotics Clothing And Footwear Housing, Water, Electricity, Gas And Other 2012 2013 2014 2015 2016 26.9661 138.42 142.59 141.43 156.58 168.59 3.3848 129.44 154.54 154.45 155.00 157.51 4.5109 140.56 152.38 155.92 168.92 182.01 146.24 149.15 151.73 164.00 178.41 145.89 152.84 154.65 165.22 172.27 5.1197 125.85 129.83 133.87 137.42 142.92 10.3894 125.98 126.97 127.61 138.71 143.65 11.4882 Fuels Furnishings, Household Equipment And 4.0705 Routine Household Maintenance Health Transport Communication 3.8540 82.22 82.35 86.56 94.25 90.49 Recreation And Culture 5.3453 110.22 124.17 132.71 137.67 139.95 Education 6.7183 117.44 132.69 138.40 139.79 144.66 Restaurants And Hotels 5.6877 137.06 145.37 151.51 160.04 165.64 7.1584 130.21 136.80 133.52 139.03 142.53 94.6932 131.36 137.85 139.54 149.47 157.42 4.9 1.2 7.1 5.3 Miscellaneous Goods And Services All Items Index Annual percent change Financial year 2011/12 2012/13 2013/14 2014/15 2015/16 26.9661 136.76 137.51 144.12 145.63 163.89 Alcoholic Beverages, Tobacco & Narcotics 3.3848 126.87 142.18 154.66 154.83 155.85 Clothing And Footwear 4.5109 140.05 143.34 156.60 159.87 177.62 134.28 148.91 151.20 153.66 175.83 142.13 148.93 153.63 158.88 170.51 Food And Non-Alcoholic Beverages Housing, Water, Electricity, Gas And Other Fuels Furnishings, 11.4882 Household Equipment Routine Household Maintenance Health And 4.0705 5.1197 115.85 129.82 130.88 135.80 139.59 10.3894 123.69 126.84 126.66 131.87 142.30 Communication 3.8540 83.61 81.97 83.32 91.21 92.88 Recreation And Culture 5.3453 113.54 113.60 129.86 134.60 139.70 Education 6.7183 109.74 127.13 136.75 138.61 142.59 Restaurants And Hotels 5.6877 128.20 142.14 147.55 156.42 162.96 7.1584 123.76 135.18 134.97 135.02 141.99 94.6932 127.04 134.00 139.44 142.65 154.83 20.1 5.5 4.1 2.3 8.5 Transport Miscellaneous Goods And Services All Items Index Annual percent change Source: Uganda Bureau of Statistics 238 Table 4.2J: Annual Average CPI by COICOP Divisions-Mbarara (Base: 2009/10 = 100) Calendar year Division Food And Non-Alcoholic Beverages Weights 2012 2013 2014 2015 2016 28.6385 140.39 148.77 150.13 157.44 165.05 Alcoholic Beverages, Tobacco & Narcotics 2.7378 126.03 150.27 150.71 150.75 160.07 Clothing And Footwear 4.4679 142.83 151.89 155.28 169.15 181.74 Housing, Water, Electricity, Gas And Other Fuels 10.4854 139.65 155.99 157.97 162.68 173.51 Furnishings, Household Equipment And Routine 3.6290 136.23 139.85 145.05 148.07 161.01 4.9906 139.07 145.28 144.92 152.10 158.72 Household Maintenance Health Transport 12.4097 126.75 127.85 128.61 130.52 133.79 Communication 4.3061 95.77 97.80 101.25 118.74 118.53 Recreation And Culture 4.8188 124.39 136.92 139.72 142.68 148.05 Education 5.0860 115.44 114.47 113.73 116.92 119.47 Restaurants And Hotels 8.4672 143.17 155.51 152.01 157.80 177.00 Miscellaneous Goods And Services 6.7153 135.61 139.55 145.54 147.85 156.61 96.7521 133.86 141.83 143.25 149.06 157.26 6.0 1.0 4.1 5.5 All Items Index Annual percent change Financial year Food And Non-Alcoholic Beverages Alcoholic Beverages, Tobacco & Narcotics Clothing And Footwear 2011/12 2012/13 2013/14 2014/15 2015/16 28.6385 135.89 143.11 151.68 151.44 160.62 2.7378 122.68 138.30 151.35 150.50 155.06 4.4679 142.26 143.03 154.65 161.27 176.89 Housing, Water, Electricity, Gas And Other Fuels 10.4854 128.28 148.93 157.08 159.11 170.66 Furnishings, Household Equipment And Routine 3.6290 132.02 137.15 142.97 145.56 154.71 4.9906 127.63 143.51 143.49 148.80 155.54 12.4097 122.44 128.23 128.02 128.75 132.80 Household Maintenance Health Transport Communication 4.3061 96.64 96.97 97.44 109.81 120.90 Recreation And Culture 4.8188 122.19 132.03 138.15 140.74 145.57 Education 5.0860 110.27 116.59 113.30 115.28 118.08 Restaurants And Hotels 8.4672 131.57 150.97 155.71 152.34 168.34 Miscellaneous Goods And Services 6.7153 130.50 137.14 142.39 146.71 151.47 96.7521 128.16 137.76 143.21 144.90 153.54 18.7 7.5 4.0 1.2 6.0 All Items Index Annual percent change Source: Uganda Bureau of Statistics 239 Table 4.2K: Annual Average CPI by COICOP Divisions - Jinja (Base: 2009/10 = 100) Calendar year Division 2012 2013 2014 2015 2016 17.1489 140.21 142.78 144.55 154.53 166.48 Alcoholic Beverages, Tobacco & Narcotics 2.1784 124.55 122.17 121.56 130.26 144.42 Clothing And Footwear 3.0995 145.58 154.68 157.06 168.47 176.38 Housing, Water, Electricity, Gas And Other Fuels 6.3437 142.02 148.99 156.25 165.45 181.74 2.4041 153.96 162.90 165.83 173.70 187.05 Health 3.9918 130.74 137.64 143.26 156.03 162.88 Transport 6.3167 134.85 141.23 143.40 145.43 151.01 Communication 1.9791 92.78 94.62 91.19 98.83 111.76 Recreation And Culture 2.9498 121.05 122.03 123.37 125.40 128.48 Education 2.3936 105.33 121.38 135.17 134.24 129.32 Restaurants And Hotels 3.2728 116.85 123.16 131.55 137.10 139.59 4.4441 133.37 140.20 143.16 149.14 155.03 56.5224 133.39 138.64 142.12 149.72 158.85 3.9 2.5 5.4 6.1 Food And Non-Alcoholic Beverages Furnishings, Household Equipment And Routine Household Maintenance Miscellaneous Goods And Services All Items Index Weights Annual percent change Financial year Food And Non-Alcoholic Beverages 2011/12 2012/13 2013/14 2014/15 2015/16 17.1489 139.34 139.10 145.03 147.16 160.91 Alcoholic Beverages, Tobacco & Narcotics 2.1784 120.85 121.51 121.62 124.58 139.04 Clothing And Footwear 3.0995 140.76 148.53 156.86 161.56 174.68 Housing, Water, Electricity, Gas And Other Fuels 6.3437 135.30 145.82 151.38 160.34 173.49 2.4041 146.89 157.06 164.05 170.25 180.46 Health 3.9918 120.32 134.31 141.25 148.66 159.83 Transport 6.3167 132.23 138.65 142.92 142.90 148.54 Communication 1.9791 92.41 93.03 94.97 90.36 107.13 Recreation And Culture 2.9498 118.12 121.39 122.94 123.80 126.33 Education 2.3936 105.45 111.11 130.04 137.05 129.44 Restaurants And Hotels 3.2728 114.73 119.86 126.65 135.14 137.98 Miscellaneous Goods And Services 4.4441 126.98 138.12 141.12 146.10 152.66 56.5224 129.85 135.16 140.88 144.76 154.61 20.9 4.1 4.2 2.7 6.8 Furnishings, Household Equipment And Routine Household Maintenance All Items Index Annual percent change Source: Uganda Bureau of Statistics 240 Table 4.2L: Annual Average CPI by COICOP Divisions - Mbale (Base: 2009/10 = 100) Calendar year Division Weights 2012 2013 2014 2015 2016 Food And Non-Alcoholic Beverages 20.4355 142.77 142.13 148.55 154.10 162.83 Alcoholic Beverages, Tobacco & Narcotics 2.1003 120.47 142.68 143.32 144.51 146.53 Clothing And Footwear 1.9723 125.40 125.37 127.39 135.23 144.60 Housing, Water, Electricity, Gas And Other Fuels 6.5886 142.17 147.08 151.86 160.89 164.23 Furnishings, Household Equipment And Routine 2.7805 150.12 153.97 154.07 160.28 164.56 Health 3.1145 123.11 132.84 139.55 142.15 147.21 Transport 5.1454 124.61 128.52 127.92 131.30 135.02 Communication 2.2697 77.57 79.18 85.32 93.89 85.72 Recreation And Culture 2.8974 114.10 116.67 120.26 122.61 122.16 Education 2.5953 113.94 118.33 123.81 129.06 134.09 Restaurants And Hotels 3.4480 144.31 150.74 152.07 153.76 157.22 Miscellaneous Goods And Services 3.4513 127.87 131.97 135.80 135.20 139.81 All Items Index 56.7989 132.71 135.98 140.25 145.13 150.26 2.5 3.1 3.5 3.5 Household Maintenance Annual percent change Financial year 2011/12 2012/13 2013/14 2014/15 2015/16 Food And Non-Alcoholic Beverages 20.4355 139.90 138.94 147.26 150.90 157.92 Alcoholic Beverages, Tobacco & Narcotics 2.1003 120.11 131.08 143.51 143.51 145.00 Clothing And Footwear 1.9723 122.97 123.04 127.41 129.74 141.45 Housing, Water, Electricity, Gas And Other Fuels 6.5886 134.97 144.09 148.36 156.65 163.67 Furnishings, Household Equipment And Routine 2.7805 146.51 151.47 154.60 155.78 164.00 Health 3.1145 114.40 128.57 137.25 140.58 143.37 Transport 5.1454 121.51 128.02 127.14 128.19 134.37 Communication 2.2697 77.44 77.29 80.74 92.28 89.33 Recreation And Culture 2.8974 113.69 114.94 118.32 122.55 121.47 Education 2.5953 109.52 116.29 120.77 126.88 130.53 Restaurants And Hotels 3.4480 136.36 148.44 152.08 151.90 155.73 Miscellaneous Goods And Services 3.4513 123.73 129.39 134.28 135.17 137.78 All Items Index 56.7989 128.85 133.02 138.71 142.39 147.70 20.2 3.2 4.3 2.7 3.7 Household Maintenance Annual percent change Source: Uganda Bureau of Statistics 241 Table 4.2M: Annual Average CPI by COICOP Divisions - Gulu (Base: 2009/10 = 100) Calendar year Division Food And Non-Alcoholic Beverages Weights 2012 2013 2014 2015 2016 18.1097 144.10 142.26 147.98 151.13 161.22 Alcoholic Beverages, Tobacco & Narcotics 1.9313 132.24 147.56 150.87 151.36 152.42 Clothing And Footwear 1.7980 140.65 160.15 167.15 180.44 205.88 Housing, Water, Electricity, Gas And Other Fuels 3.7668 134.62 138.57 152.44 162.98 167.75 Furnishings, Household Equipment And Routine 1.9893 150.13 164.99 175.65 180.01 186.84 Household Maintenance Health 2.8633 152.95 170.11 180.13 190.73 215.16 Transport 5.2142 129.54 133.22 135.16 136.32 137.00 Communication 2.2277 94.72 96.67 100.22 117.05 113.24 Recreation And Culture 3.0412 117.49 131.71 140.58 135.91 133.59 Education 1.8483 112.30 128.57 156.74 155.13 156.91 Restaurants And Hotels 4.3220 130.69 137.44 135.41 143.64 148.94 Miscellaneous Goods And Services 3.3025 136.23 141.66 143.04 150.85 156.56 50.4143 135.43 140.76 147.06 151.99 159.23 3.9 4.5 3.3 4.8 All Items Index Annual percent change Financial year Food And Non-Alcoholic Beverages 2011/12 2012/13 2013/14 2014/15 2015/16 18.1097 141.54 141.16 147.46 146.63 156.43 Alcoholic Beverages, Tobacco & Narcotics 1.9313 125.91 138.21 151.79 151.32 150.95 Clothing And Footwear 1.7980 135.45 149.22 163.62 172.81 194.14 Housing, Water, Electricity, Gas And Other Fuels 3.7668 128.91 133.47 147.15 157.35 167.26 Furnishings, Household Equipment And Routine 1.9893 142.65 156.69 171.14 177.96 183.64 Household Maintenance Health 2.8633 139.82 159.33 176.40 185.80 198.59 Transport 5.2142 124.20 132.52 133.15 135.59 138.32 Communication 2.2277 95.52 95.80 96.39 108.68 118.05 Recreation And Culture 3.0412 115.01 121.52 140.24 138.87 131.83 Education 1.8483 112.30 119.40 149.27 149.72 156.82 Restaurants And Hotels 4.3220 124.03 134.92 137.75 137.95 146.60 Miscellaneous Goods And Services 3.3025 130.16 139.51 141.46 145.36 155.65 50.4143 130.98 136.88 145.43 148.01 155.91 24.1 4.5 6.2 1.8 5.3 All Items Index Annual percent change Source: Uganda Bureau of Statistics 242 Table 4.2N: Annual Average CPI by COICOP Divisions - Arua (Base: 2009/10 = 100) Calendar year Division Food And Non-Alcoholic Beverages Weights 2012 2013 2014 2015 2016 14.1280 148.75 143.75 149.39 159.51 174.06 Alcoholic Beverages, Tobacco & Narcotics 1.5749 144.06 160.14 165.18 163.66 169.25 Clothing And Footwear 1.0504 134.30 142.86 151.52 165.21 179.72 Housing, Water, Electricity, Gas And Other Fuels 2.5795 151.36 152.03 154.63 164.43 167.32 1.7280 139.20 145.33 146.34 151.65 159.16 Health 1.8388 132.01 143.96 169.74 179.38 191.91 Transport 3.9451 132.08 138.46 139.67 140.27 146.50 Communication 1.7312 103.29 99.64 109.75 118.87 113.49 Recreation And Culture 1.8882 120.93 117.30 118.35 119.03 123.80 Education 1.4308 115.25 126.56 128.62 136.00 153.70 Restaurants And Hotels 3.1779 133.83 141.31 145.34 150.18 165.90 Miscellaneous Goods And Services 1.4846 123.06 127.10 130.25 132.94 139.87 36.5573 137.98 139.51 144.91 151.93 162.40 1.1 3.9 4.8 6.9 Furnishings, Household Equipment And Routine Household Maintenance All Items Index Annual percent change Financial year Food And Non-Alcoholic Beverages 2011/12 2012/13 2013/14 2014/15 2015/16 14.1280 144.31 146.07 145.64 153.06 166.04 Alcoholic Beverages, Tobacco & Narcotics 1.5749 138.79 151.46 162.88 164.58 166.04 Clothing And Footwear 1.0504 129.45 136.17 147.94 157.74 173.90 Housing, Water, Electricity, Gas And Other Fuels 2.5795 146.49 152.20 153.35 159.34 166.03 1.7280 136.47 141.84 146.39 147.68 156.09 Health 1.8388 125.84 134.64 159.64 174.98 185.66 Transport 3.9451 129.20 135.53 139.86 137.65 145.39 Communication 1.7312 100.41 102.04 102.20 116.78 116.04 Recreation And Culture 1.8882 116.11 121.38 116.67 118.71 120.87 Education 1.4308 109.36 123.88 126.09 131.94 143.24 Restaurants And Hotels 3.1779 126.51 137.79 143.01 147.02 158.41 Miscellaneous Goods And Services 1.4846 120.17 124.53 128.87 131.90 136.49 36.5573 133.44 138.71 141.88 147.62 157.10 26.4 4.0 2.3 4.0 6.4 Furnishings, Household Equipment And Routine Household Maintenance All Items Index Annual percent change Source: Uganda Bureau of Statistics 243 Table 4.2O: Annual Average CPI by COICOP Divisions – Fort Portal (Base: 2009/10 = 100) Calendar year Division 2012 2013 2014 2015 2016 11.1920 169.98 164.63 184.72 193.08 207.27 Alcoholic Beverages, Tobacco & Narcotics 1.3812 146.36 163.81 165.95 168.01 168.93 Clothing And Footwear 1.8664 164.96 174.71 176.44 192.81 204.65 Housing, Water, Electricity, Gas And Other Fuels 3.6668 142.65 151.74 151.76 157.06 169.42 Furnishings, Household Equipment And Routine 1.6539 147.17 153.77 155.99 161.25 167.49 Food And Non-Alcoholic Beverages Weights Household Maintenance Health 2.3463 125.04 142.31 151.45 170.86 195.28 Transport 4.1309 133.28 135.73 136.77 137.25 144.12 Communication 1.9375 87.88 88.26 91.99 99.78 95.13 Recreation And Culture 1.7602 124.83 130.08 127.59 127.95 130.37 Education 1.5161 106.67 109.92 109.17 111.32 112.62 Restaurants And Hotels 3.1955 148.64 164.18 166.44 166.36 168.52 2.9611 133.83 140.14 140.55 142.33 149.15 37.6079 144.81 149.08 156.27 162.30 171.55 2.9 4.8 3.9 5.7 Miscellaneous Goods And Services All Items Index Annual percent change Financial year 2011/12 2012/13 2013/14 2014/15 2015/16 11.1920 164.94 163.93 177.29 187.60 198.29 Alcoholic Beverages, Tobacco & Narcotics 1.3812 134.68 159.33 162.62 167.53 169.06 Clothing And Footwear 1.8664 158.66 167.34 176.96 182.17 201.68 Housing, Water, Electricity, Gas And Other Fuels 3.6668 135.25 148.10 151.41 153.11 164.12 Furnishings, Household Equipment And Routine 1.6539 144.22 149.37 154.95 157.72 165.47 Food And Non-Alcoholic Beverages Household Maintenance Health 2.3463 120.28 131.64 150.04 155.41 187.49 Transport 4.1309 130.75 134.86 136.71 135.07 142.13 Communication 1.9375 87.48 87.88 88.89 97.25 97.32 Recreation And Culture 1.7602 121.29 129.88 127.97 127.07 129.38 Education 1.5161 102.60 109.82 109.27 110.19 111.88 Restaurants And Hotels 3.1955 138.03 157.57 165.71 167.42 166.00 2.9611 124.43 138.84 140.16 140.54 146.33 37.6079 139.15 146.33 153.56 158.11 167.02 23.0 5.2 4.9 3.0 5.6 Miscellaneous Goods And Services All Items Index Annual percent change Source: Uganda Bureau of Statistics 244 Table 4.2 P: Average market prices for selected goods in Kampala High Income, 2014 – 2016 (Ug.Shs) Item Unit 2014 Q1 Q2 2015 Q3 Q4 Q1 Q2 2016 Q3 Q4 Q1 Q2 Q3 Q4 Bananas (Matooke) Kg 862 926 813 940 731 925 896 1181 821 847 861 1,424 Pineapples Kg 880 1,111 1114 1,117 1099 1,373 1,274 1,663 1,262 1,264 1,404 1,635 Oranges- Imported Kg 7,936 7,720 8,421 8,103 8,409 9,138 9,288 9,613 10,569 10,065 10,678 10,444 Cabbages Kg 729 777 689 832 1096 1205 737 864 848 934 1,081 826 Tomatoes Kg 5,481 5,778 5,214 5,036 5,161 6,050 4,641 4,522 5,211 4,933 5,244 4,289 Onions Kg 4,037 4,825 4,054 4,477 4,730 6,722 6,523 6,389 5,856 5,856 5,544 5,233 Dried Beans Kg 4,805 4,978 4,345 4,544 4,697 6,085 5,189 5,022 5,000 4,889 4,944 4,443 Groundnuts Kg 4,950 4,894 4,678 4,675 4,772 4,925 5,000 5,006 5,369 5,625 5,397 5,694 10,000 Meat (Beef) Kg 8,056 8,056 8,000 8,056 8,444 9,667 9,722 9,972 9,833 10,028 10,000 Milk Litre 3,040 2,957 3,225 3,104 3,207 3,088 3,206 3,301 3,356 3,311 3,317 3,290 Rice 5 Kg 45,957 45,115 43,977 41,996 42,473 43,647 44,057 45,721 45,867 45,300 41,075 39,238 Maize Meal 5 Kg 13,140 12,935 12,639 12,249 12,292 12,739 13,141 12,994 12,105 13,118 13,102 13,775 Kg 3,971 3,909 3,820 3,702 3,715 3,833 3,877 3,889 3,911 3,933 4,039 4,027 Kg 3,000 2,778 2,711 2,919 3,144 3,011 3,400 3,589 3,778 3,678 3,833 4,167 467 511 567 578 578 600 633 689 722 711 711 700 Bread Sugar Salt 0.5 kg Refined Cooking oil Litre 6,083 5,918 6,201 6,211 6,446 7,309 7,856 7,900 7,356 7,367 7,122 6,834 Paraffin (Kerosene) Litre 2,851 2,796 2,845 2,854 2,765 2,609 2,583 2,574 2,543 2,482 2,473 2,430 Charcoal Sack 64,722 63,444 64,444 69,444 65,278 66,389 66,500 68,333 67,083 68,611 69,444 69,268 Kg 1,732 1,685 1,838 1,713 1,835 1,840 1,892 1,900 1,900 1,900 1,856 2,180 Washing Soap Source: Uganda Bureau of Statistics Table 4.2 Q: Average market prices for selected goods in Kampala Middle Income, 2014 –16 (Ug.Shs) Item Unit Bananas (Matooke) Pineapples Oranges Cabbages Tomatoes Onions Dried Beans Groundnuts Meat (Beef) Milk Rice Maize Meal Bread Sugar Salt Refined Cooking oil Paraffin (Kerosene) Charcoal Washing Soap Kg Kg Kg Kg Kg Kg Kg Kg Kg Litre Kg Kg 500 gm Kg 500 gm 300 mls Litre Kg Kg Q1 862 880 1,533 716 2,218 2,298 4,479 4,950 8,056 1,397 3,411 14,243 3,689 3,039 466 18,917 2,851 64,722 3,648 2014 Q2 Q3 926 813 1,111 1114 1,553 1,492 777 689 2,560 2,009 2,667 2,474 4,644 4,249 4,894 4,678 8,111 8,000 1,342 1,407 3,467 3,467 14,232 14,231 3,678 3,646 2,865 2,732 493 537 19,189 19,039 2,796 2,845 63,444 64,444 3,470 3,563 Q4 940 1,117 1,183 832 2,030 2,548 4,395 4,675 8,056 1,318 3,383 14,002 3,633 2,932 570 18,700 2,854 69,444 3,557 Q1 731 1099 1,820 1096 2,134 2,693 4,669 4,772 8,444 1,385 3,233 12,534 3,726 3,152 570 18,689 2,765 65,278 3,552 2015 Q2 Q3 925 896 1,373 1,274 1,793 2,109 1205 737 2,427 2,118 4,053 3,717 5,683 3,897 4,925 5,000 9,667 9,611 1,441 1,426 3,433 3,328 12,105 11,893 3,674 3,832 3,050 3,384 581 603 18,361 18,628 2,609 2,583 66,389 66,500 3,424 3,538 Q4 1181 1,663 1,279 864 2,359 3,586 3,128 5,006 9,972 1,500 3,461 12,493 3,951 3,667 638 19,017 2,574 68,333 3,549 Q1 767 1,262 1,526 848 2,811 2,930 3,194 5,369 9,833 1,502 3,522 12,547 4,039 3,887 663 19,086 2,557 67,639 3,557 2016 Q2 Q3 847 828 1,264 1,390 1,533 1,544 934 1,057 2,518 2,398 2,988 2,904 3,325 3,300 5,625 5,317 9,972 9,972 1,406 1,441 3,500 3,489 12,457 12,593 4,069 4,131 3,777 3,860 665 679 18,961 18,944 2,481 2,466 68,611 69,444 3,523 3,591 Source: Uganda Bureau of Statistics 245 Q4 1,443 1,631 1,330 843 1,959 3,040 3,417 5,639 10,000 1,443 3,506 13,217 4,179 4,157 675 19,056 2,436 69,000 3,603 Table 4.2 R: Average market prices for selected goods in Kampala Low Income, 2013 – 2015 (Ug. Shs) Item Bananas Pineapples (Matooke) Oranges Cabbages Tomatoes Onions Dried Beans Groundnuts Meat (Beef) Milk Rice Maize Meal Bread Sugar Salt Refined Cooking Paraffin oil Charcoal (Kerosene) Washing Soap Unit Kg Kg Kg Kg Kg Kg Kg Kg Kg Litre Kg Kg 500 Kg gm 500 300 gm Litre mls Kg Kg Q1 848 913 1,41 654 6 1,90 2,11 2 2,14 7 4,34 2 7,96 7 1,39 7 3,09 7 1,85 7 1,98 0 2,42 3 447 0 1,50 2,85 3 734 1 3,48 Source: Uganda Bureau of Statistics 7 2014 Q2 Q3 934 784 108 105 1,30 1,51 8 5 684 696 5 3 2,14 1,79 2,46 2,31 7 1 2,48 1,99 0 7 4,42 4,28 5 2 8,03 8,06 7 5 1,34 1,40 3 7 3,26 3,06 2 7 1,80 1,82 3 7 1,99 1,93 3 0 2,32 2,23 3 8 470 540 9 7 1,50 1,51 2,79 2,84 0 0 710 708 6 5 3,44 3,43 6 7 Q4 930 1,11 1,21 0 693 3 1,64 2,30 5 1,94 1 4,23 0 8,13 2 1,31 3 2,94 8 1,67 7 1,93 3 2,41 8 553 7 1,50 2,85 0 783 4 3,42 Q1 693 995 1,57 921 0 1,64 2,31 2 2,19 8 4,08 3 8,41 3 1,38 7 2,97 5 1,59 7 1,91 3 2,50 2 587 6 1,50 2,76 7 750 5 3,41 8 3 2015 Q2 Q3 866 845 1,21 1,18 1,47 1,61 7 5 965 717 0 6 1,89 1,42 3,64 2,83 8 8 3,02 2,45 4 8 4,34 4,48 3 3 9,28 9,35 5 0 1,44 1,42 3 0 3,18 3,20 1 6 1,71 1,83 0 3 1,95 2,05 3 0 2,52 2,84 4 5 563 583 0 0 1,50 1,52 2,60 2,58 0 3 659 694 9 3 3,47 3,45 3 1 Q4 112 1,54 5 1,30 1 751 1 2,03 3,02 6 2,59 6 4,54 3 9,66 8 1,50 7 3,29 0 1,90 0 2,13 0 3,24 8 587 6 1,54 2,57 7 779 4 3,48 Q1 847 1,18 1,32 2 777 3 1,96 2,78 9 2,71 9 4,67 0 9,76 3 1,47 7 3,42 7 1,87 8 2,07 7 3,40 6 582 6 1,52 2,55 2 772 7 3,48 9 9 2016 Q2 Q3 836 841 1,32 1,35 1,45 1,42 3 1 805 886 5 2 1,97 1,90 2,74 2,73 0 4 2,86 2,85 6 7 4,75 4,85 7 2 9,86 9,96 2 6 1,39 1,41 7 7 3,43 3,38 9 3 1,93 1,95 3 3 1,99 2,06 3 0 3,33 3,32 2 3 583 592 0 5 1,53 1,52 2,48 2,46 3 0 730 727 1 6 3,46 3,39 1 Q4 1,634 1,606 1,321 731 1,421 2,213 3,083 5,035 10,00 1,468 0 3,437 2,033 2,257 3,895 600 1,520 2,436 667 3,362 0 246 Table 4.2 S: PPI-M Combined Annual Indices, CY, Base period: July to Sept 2004=100 Base Period Industry Group Weights 2012 2013 2014 2015 2016 1,000 252.81 255.79 254.40 272.06 281.73 419 303.08 304.75 300.22 328.45 350.56 Manufacture of Meat and Meat Products 4 309.75 345.45 365.94 409.67 416.28 Processing & Preserving of Fish & Fish Products 49 331.29 342.68 389.87 430.02 433.05 Manufacture of Vegetable and Animal Oils and Fats 80 267.71 265.52 256.02 283.75 288.43 Manufacture of Dairy Products 11 232.96 264.02 267.37 338.94 332.15 Coffee Processing 85 352.94 368.44 340.8 355.55 410.89 Manufacture of Grain Milling products 21 273.97 286.68 286.87 280.79 267.73 Manufacture of Prepared Animal Feeds 12 304.25 321.92 378.58 400.87 401.65 Tea Processing 47 421.75 424.37 483.6 444.49 481.82 Manufacture of Bakery products 22 223.50 226.44 230.21 246.16 250.95 Manufacture of Sugar 88 237.88 198.06 145.01 208.7 251.84 DRINKS AND TOBACCO 185 219.48 239.26 237.07 248.03 240.31 Manufacture of Malt Liquors and Malt 77 173.42 199.45 213.82 237.6 240.81 Manufacture of Soft Drinks 57 165.85 166.02 149.38 162.45 167.93 Manufacture of Tobacco Products 51 343.1 368.34 351.09 362.73 340.20 TEXTILES, CLOTHING AND FOOTWEAR 42 299.78 302.81 316.63 356.72 377.10 Manufacture of Made-up Textiles & Wearing Apparel 27 251.23 254.13 261.36 275.41 288.91 Manufacture of Leather & Foot Wear 15 124.84 131.99 148.87 189.87 187.61 PAPER PRODUCTS 48 203.94 199.2 221.87 237.98 243.16 Sawmilling, Paper & Paper Products 23 227.85 214.63 224.28 255.08 264.29 Printing & Publishing 25 172.37 175.58 202.26 206.98 210.30 CHEMICALS, PAINT, SOAP & FOAM PRODUCTS 106 224.3 231.35 220.64 221.21 233.39 Manufacture of Paint, Vanishes 8 179.54 180.76 176.38 193.01 202.87 Manufacture of Pharmaceuticals 12 207.05 214.27 206.77 238.09 279.92 Manufacture of Soap & Chemical Products 71 249.76 261.75 243.19 226.75 241.52 Mattresses 15 197.51 194.36 201.03 205.86 179.61 BRICKS & CEMENT 68 209.00 205.47 205.37 228.92 233.60 Manufacture of Bricks and Ceramic Products 7 276.52 279.85 273.94 285.78 274.50 Cement 61 199.45 195.03 195.71 220.42 230.33 METAL & RELATED PRODUCTS 91 219.27 214.67 206.69 209.53 213.33 Manufacture of Basic Iron and Steel 14 220.11 208.38 196.7 201.91 187.39 Manufacture of Structural Metal Products 71 215.51 216.03 205.86 196.4 197.19 Other Metal Products 6 209.45 203.23 204.23 220.11 221.86 MISCELLANEOUS PRODUCTS 41 209.31 214.09 214.70 233.02 230.98 Manufacture of Plastic products 21 192.36 196.06 197.16 226.88 223.76 Manufacture of Furniture 20 247.71 248.9 253.07 265.20 268.76 All Manufactured Products FOOD PRODUCTS Manufacture of Cement, Lime and Other Articles of Source: Uganda Bureau of Statistics 247 Table 4.2 T: PPI-M Combined Annual Indices, FY, Base period: July to Sept 2004=100 Base Period Industry Group Weights 2011/12 2012/13 2013/14 2014/15 2015/16 1,000 255.98 255.6 254.41 258.83 280.07 419 309.44 307.1 300 308.63 342.77 Manufacture of Meat and Meat Products 4 308.89 323.2 358.08 387.01 416.49 Processing & Preserving of Fish & Fish Products 49 354.46 324.2 364.19 409.34 444.55 Manufacture of Vegetable and Animal Oils and Fats 80 263.47 270.9 259.96 262.03 293.42 Manufacture of Dairy Products 11 228.75 244 269.59 298.21 346.59 Coffee Processing 85 334.26 370.5 350.55 343.46 378.08 Manufacture of Grain Milling products 21 273.82 284.4 288.11 275.92 280.49 Manufacture of Prepared Animal Feeds 12 311.68 305.4 351.99 388.69 407.82 Tea Processing 47 446.01 429.5 461.28 447.05 455.56 Manufacture of Bakery products 22 218.76 223.7 229.55 234.55 251.75 All Manufactured Products FOOD PRODUCTS Manufacture of Sugar 88 259.6 226.9 157.12 177.18 230.20 DRINKS AND TOBACCO 185 223.83 228.7 239.96 236.42 249.04 Manufacture of Malt Liquors and Malt 77 166.93 187.9 203.36 227.64 242.49 Manufacture of Soft Drinks 57 162.07 166.8 154.47 155.41 167.79 Manufacture of Tobacco Products 51 371.83 347.7 367.74 343.1 354.18 TEXTILES, CLOTHING AND FOOTWEAR 42 284.35 297.5 309.41 333.84 372.62 Manufacture of Made-up Textiles & Wearing Apparel 27 241.13 249.5 259.54 264.57 287.32 Manufacture of Leather & Foot Wear 15 124.27 130 135.66 171.45 191.77 PAPER PRODUCTS 48 208.81 200.7 209.71 231.73 241.92 Sawmilling, Paper & Paper Products 23 234.81 218.9 212.32 242.55 261.81 Printing & Publishing 25 175.49 174.7 192.52 205.1 209.38 CHEMICALS, PAINT, SOAP & FOAM PRODUCTS 106 226.41 227.9 227.52 216.33 227.14 Manufacture of Paint, Vanishes 8 177.43 181.8 177.76 181.39 201.35 Manufacture of Pharmaceuticals 12 201.82 212.6 212.5 210.97 267.23 Manufacture of Soap & Chemical Products 71 255.95 255.4 254.98 229.9 230.89 Mattresses 15 198.57 195.00 196.10 208.85 187.18 BRICKS & CEMENT 68 203.36 209.7 201.57 216.52 234.82 Manufacture of Bricks and Ceramic Products 7 269.09 280.3 277.52 272.88 287.66 Manufacture of Cement, Lime and Other Articles of Cement 61 194.07 199.7 190.9 208.43 227.25 METAL & RELATED PRODUCTS 91 221.79 217.5 210.88 204.47 213.97 Manufacture of Basic Iron and Steel 14 230.13 212.9 202.61 191.68 199.03 Manufacture of Structural Metal Products 71 220.01 217 213.27 196.81 196.88 Other Metal Products 6 203.6 205.7 201.72 211.67 224.52 MISCELLANEOUS PRODUCTS 41 203.44 211.9 214.45 224.02 233.2 Manufacture of Plastic products 21 187.56 193.6 196.47 212.37 226.8 Manufacture of Furniture 20 239.28 249.8 249.62 259.64 267.8 Source: Uganda Bureau of Statistics 248 Table 4.2 U: PPI-M Local Annual Indices, CY, Base period: July to Sept 2004=100) Base Period Industry Group Weights 2012 2013 2014 2015 2016 All Manufactured Products 791 233.87 235.63 230.42 249.36 256.80 FOOD PRODUCTS 269 291.68 291.26 278.74 311.12 322.13 Manufacture of Meat and Meat Products 4 309.75 345.45 365.94 409.67 416.28 Manufacture of Vegetable and Animal Oils and Fats 80 267.71 265.50 256.02 283.75 288.44 Manufacture of Dairy Products 11 232.96 264.02 267.37 338.94 332.15 Coffee Processing 31 601.82 602.97 606.84 621.82 645.44 Manufacture of Grain Milling products 19 261.91 274.04 274.18 268.58 256.09 Manufacture of Prepared Animal Feeds 12 304.25 321.90 378.58 400.87 401.64 Tea Processing 2 163.92 212.78 188.56 189.34 221.90 Manufacture of Bakery products 22 223.50 226.44 230.21 246.16 250.95 Manufacture of Sugar 88 237.88 197.89 145.01 208.7 251.84 DRINKS AND TOBACCO 168 168.94 183.46 182.75 200.65 203.97 Manufacture of Malt Liquors and Malt 60 175.69 202.08 216.9 242.29 245.56 Manufacture of Soft Drinks 57 165.85 165.77 149.38 162.45 167.93 Manufacture of Tobacco Products 51 *** *** *** *** TEXTILES, CLOTHING AND FOOTWEAR 29 279.1 283.61 295.69 338.73 355.90 Manufacture of Made-up Textiles & Wearing Apparel 27 251.23 254.13 261.36 275.41 288.91 Manufacture of Leather & Foot Wear 15 160.26 206.10 268.48 277.78 297.08 PAPER PRODUCTS 47 203.89 202.37 223.32 238.35 242.97 Sawmilling, Paper & Paper Products 22 228.28 214.38 226.39 256.54 264.13 Printing & Publishing 25 172.37 180.23 202.26 206.98 210.30 CHEMICALS, PAINT, SOAP & FOAM PRODUCTS 100 222.87 229.99 218.77 217.6 230.21 Manufacture of Paint, Vanishes 8 179.54 180.76 176.38 193.01 202.87 Manufacture of Pharmaceuticals 12 207.05 214.38 206.77 238.09 279.92 Manufacture of Soap & Chemical Products 65 249.37 261.72 241.34 220.66 237.60 Mattresses 15 197.51 194.36 201.03 205.86 179.61 BRICKS & CEMENT 59 207.27 206.12 205.14 223.58 226.23 Manufacture of Bricks and Ceramic Products 7 276.52 279.89 273.94 285.78 274.50 Manufacture of Cement, Lime and Other Articles of Cement 52 196.26 194.58 194.47 213.7 221.87 METAL & RELATED PRODUCTS 80 214.21 208.59 203.75 209.06 214.08 Manufacture of Basic Iron and Steel 14 220.11 208.38 196.7 201.91 187.40 Manufacture of Structural Metal Products 60 202.64 202.12 199.86 191.88 195.46 Other Metal Products 6 209.45 203.23 204.23 220.11 221.86 MISCELLANEOUS PRODUCTS 39 212.36 217.31 217.79 235.5 232.29 Manufacture of Plastic products 19 196.69 200.51 201.45 231.5 226.75 Manufacture of Furniture 20 247.71 248.89 253.07 265.61 268.76 *** Source: Uganda Bureau of Statistics 249 Table 4.2 V: PPI-M Local Annual Indices, FY: (July to Sept 2004=100) Base Period Industry Group Weights 2011/12 2012/13 2013/14 2014/15 2015/16 All Manufactured Products 791 234.15 235.81 231.07 237.87 255.75 FOOD PRODUCTS 269 294.24 295.04 281.06 291.11 321.63 Manufacture of Meat and Meat Products 4 308.89 323.16 358.08 387.01 416.49 Manufacture of Vegetable and Animal Oils and Fats 80 263.47 270.92 259.96 262.03 293.38 Manufacture of Dairy Products 11 228.75 244.02 269.59 298.21 350.21 Coffee Processing 31 574.41 605.72 592.32 618.76 636.67 Manufacture of Grain Milling products 19 261.77 271.89 275.43 263.78 268.21 Manufacture of Prepared Animal Feeds 12 311.68 305.37 351.99 388.69 407.79 Tea Processing 2 147.79 200.7 197.41 185.76 200.38 Manufacture of Bakery products 22 218.76 223.75 229.55 234.55 251.83 Manufacture of Sugar 88 259.60 226.89 157.12 177.18 230.20 DRINKS AND TOBACCO 168 163.42 177.71 179.94 192.84 204.76 Manufacture of Malt Liquors and Malt 60 169.1 190.41 206.02 231.67 247.28 Manufacture of Soft Drinks 57 162.07 166.77 154.47 155.41 167.79 Manufacture of Tobacco Products 51 **** **** **** **** **** TEXTILES, CLOTHING AND FOOTWEAR 29 271.24 278.17 290.47 314.02 354.76 Manufacture of Made-up Textiles & Wearing Apparel 27 241.13 249.54 259.54 264.57 288.67 Manufacture of Leather & Foot Wear 15 164.89 161.15 258.75 273.04 288.44 PAPER PRODUCTS 47 208.87 200.41 210.83 232.73 242.18 Sawmilling, Paper & Paper Products 22 235.77 218.46 213.53 244.74 262.98 Printing & Publishing 25 175.49 174.66 192.52 205.1 209.39 CHEMICALS, PAINT, SOAP & FOAM PRODUCTS 100 225.08 226.5 226.27 213.29 223.69 Manufacture of Paint, Vanishes 8 177.43 181.78 177.76 181.39 201.28 Manufacture of Pharmaceuticals 12 201.82 212.58 212.5 210.97 267.21 Manufacture of Soap & Chemical Products 65 256.17 255.1 254.82 224.84 226.13 Mattresses 15 198.57 195.01 196.1 208.85 187.35 BRICKS & CEMENT 59 199.64 208.78 202.02 214.19 228.47 Manufacture of Bricks and Ceramic Products 7 269.09 280.3 277.52 272.88 290.91 Manufacture of Cement, Lime and Other Articles of Cement 52 188.55 197.5 190.29 204.99 218.78 METAL & RELATED PRODUCTS 80 217.39 210.31 206.04 203.44 213.71 Manufacture of Basic Iron and Steel 14 230.13 212.9 202.61 191.68 199.05 Manufacture of Structural Metal Products 60 209.25 200.04 203 193.46 191.51 Other Metal Products 6 203.6 205.69 201.72 211.67 224.73 MISCELLANEOUS PRODUCTS 39 206.41 214.94 217.73 227.05 234.46 Manufacture of Plastic products 19 191.82 197.68 201.04 217.19 229.96 Manufacture of Furniture 20 239.28 249.78 249.62 259.64 267.93 Source: Uganda Bureau of Statistics 250 Table 4.2 W: PPI-M Export Annual Indices, CY, Base period: July to Sept 2004=100) Base Period Industry Group Weights 2012 2013 2014 2015 2016 All Manufactured Products 209 321.37 335.32 342.93 348.15 365.36 FOOD PRODUCTS 150 322.84 333.62 351.47 352.25 395.27 Processing & Preserving of Fish & Fish Products 49 331.29 342.66 389.87 430.02 433.65 Coffee Processing 54 181.61 203.96 148.47 155.36 197.05 Manufacture of Grain Milling products 2 **** **** **** **** **** Tea Processing 45 436.24 415.97 502.4 440.25 462.58 DRINKS AND TOBACCO 17 332.80 352.03 337.87 332.22 314.72 Manufacture of Malt Liquors and Malt 17 **** **** **** **** **** Manufacture of Tobacco Products 51 332.80 352.03 337.87 332.22 314.72 TEXTILES, CLOTHING AND FOOTWEAR 13 259.02 282.58 293.47 359.32 326.33 Manufacture of Leather & Foot Wear 13 259.02 282.58 293.47 359.32 326.33 PAPER PRODUCTS 1 197.00 196.33 186.43 212.87 219.97 Sawmilling, Paper & Paper Products 1 197.00 196.33 186.43 212.87 219.97 CHEMICALS, PAINT, SOAP & FOAM PRODUCTS 6 253.10 258.54 257.87 295.59 278.90 Manufacture of Soap & Chemical Products 6 253.10 258.54 257.87 295.59 278.90 BRICKS & CEMENT 9 227.21 194.02 196.62 280.6 297.92 Manufacture of Cement, Lime and Other Articles of Cement 9 227.21 194.02 196.62 280.6 297.92 METAL & RELATED PRODUCTS 11 255.03 257.57 223.89 207.7 206.90 Manufacture of Structural Metal Products 11 255.03 257.57 223.89 207.7 206.90 MISCELLANEOUS PRODUCTS 2 148.57 150.88 153.14 175.66 183.57 Manufacture of Plastic products 2 148.57 150.88 153.14 175.66 183.57 Source: Uganda Bureau of Statistics 251 Table 4.2 X: PPI-M Export Annual Indices, Fiscal Year, Base period: July to Sept 2004=100 Industry Group Weights 2011/12 2012/13 2013/14 2014/15 2015/16 All Manufactured Products 209 336.63 329.03 342.93 334.29 356.79 Processing & Preserving of Fish & Fish Products 49 354.46 324.21 364.26 409.34 448.74 Coffee Processing 54 168.47 208.46 179.71 136.82 171.70 Manufacture of Grain Milling products 2 **** **** **** **** **** Tea Processing 45 464.05 429.89 465.56 458.15 440.18 DRINKS AND TOBACCO 17 360.66 337.28 351.74 320.63 326.17 Manufacture of Malt Liquors and Malt 17 **** **** **** **** **** Manufacture of Tobacco Products 51 360.66 337.28 351.74 320.63 326.17 TEXTILES, CLOTHING AND FOOTWEAR 13 222.75 285.5 279.03 322.56 349.12 Manufacture of Leather & Foot Wear 13 222.75 285.5 279.03 322.56 349.12 PAPER PRODUCTS 1 201.96 203.02 186.1 195.86 221.46 Sawmilling, Paper & Paper Products 1 201.96 203.02 186.1 195.86 221.46 CHEMICALS, PAINT, SOAP & FOAM PRODUCTS 6 252.42 259.00 252.85 279.11 291.07 Manufacture of Soap & Chemical Products 6 252.42 259.00 252.85 279.11 291.07 BRICKS & CEMENT 9 235.71 212.77 182.78 235.11 299.93 Cement 9 235.71 212.77 182.78 235.11 299.93 METAL & RELATED PRODUCTS 11 253.31 268.32 242.86 207.93 209.88 Manufacture of Structural Metal Products 11 253.31 268.32 242.86 207.93 209.88 MISCELLANEOUS PRODUCTS 2 144.42 151.53 150.39 162.05 185.96 Manufacture of Plastic products 2 144.42 151.53 150.39 162.05 185.96 Manufacture of Cement, Lime and Other Articles of Source: Uganda Bureau of Statistics Table 4.2Y: PPI- Hotels & Restaurants Annual Indices (Jan – Mar, 2008=100) Industry Group 2012 2013 2014 2015 2016 Hotels and Restaurants 146.34 147.29 146.63 167.56 169.7 Accommodation 133.94 132.86 132.74 152.46 152.4 Catering services 160.86 175.24 191.78 201.90 210.3 Accommodation 133.94 132.86 132.74 152.46 152.4 Hotel accommodation (Rooms, Suites etc.) 134.26 132.76 132.91 152.78 152.3 Other hotel services (e.g. Conference halls) 132.08 142.33 155.12 161.89 170.0 Catering services 160.86 175.24 191.78 201.90 210.3 Food and snacks 166.23 183.83 203.75 215.07 222.1 Buffet 171.56 196.75 199.92 214.90 211.5 A la carte (specific foods) 161.93 177.25 201.54 212.78 223.1 Snacks ( Light bites, coffee, tea) 204.98 224.95 250.16 256.10 257.4 Drinks 148.85 159.14 165.45 173.01 184.5 Beer 144.09 154.85 164.95 171.70 178.7 Soft drinks (sodas) & mineral water 149.06 159.66 164.13 167.52 176.8 Wines & spirits 151.93 163.79 167.24 181.57 198.4 Source: Uganda Bureau of Statistics 252 Table 4.2 Z: Construction Sector Price Indices, (Jan-Mar 2006=100) Weight 2012 2013 2014 2015 2016 All Buildings 80 Residential Buildings 30 224.62 228.1 220.07 218.20 230.28 212.09 214.79 196.62 186.96 206.67 Formal Own-account 15 216.94 222.86 221.38 210.31 241.43 15 207.24 206.75 172.41 164.47 172.62 Non-Residential Buildings 50 232.14 236.08 234.35 237.39 244.54 Civil works 20 235.62 247.01 248.16 255.75 259.05 Roads paved 10 242.86 254.65 254.39 266.13 271.00 Roads gravel 5 236.67 251.34 255.53 259.18 258.76 Water projects 5 220.1 227.4 228.51 235.80 240.06 Whole sector 100 226.82 231.86 225.47 226.50 234.65 Source: Uganda Bureau of Statistics Table 4.2 AB: Basic Heading Prices Indices, (Jan-March 2006=100) Annual Basic Heading 2012 2013 2014 2015 2016 Change Timber 273.76 269.22 256.9 244.1 244.10 0.00 Paint 176.29 175.19 173.93 177.32 184.92 4.29 Pvc/Hdpe Pipes 178.56 178.49 178.83 177.91 183.86 3.34 Water Tanks 139.06 141.57 141.51 142.69 160.57 12.53 Burnt Clay Bricks & Tiles 274.06 257.37 260.04 273.86 290.12 5.94 Cement 186.45 186.18 183.31 185.89 190.29 2.37 Concrete Articles 164.11 165.72 157.64 160.18 170.34 6.34 Steel Bars 186.29 177.93 181.55 178.66 211.86 18.58 Roofing Sheets 205.76 195.64 163.05 175.68 164.34 -6.45 Other Iron & Steel 214.17 215.11 217.73 217.94 218.95 0.47 Electrical wire & Cable 192.89 185.77 185.68 202.72 192.63 -4.98 135.1 126.04 126.61 121.35 121.92 0.47 Lime 181.17 182.98 149.44 178.87 204.07 14.09 Diesel 187.92 188.62 190.15 193.83 186.57 -3.74 Bitumen 187.52 169.48 159.01 179.97 191.85 6.60 Labour Wage Rates 257.58 282.34 298.13 317.16 330.70 4.27 Equipment Charge Out Rates 246.29 267.93 270.9 276.17 278.98 1.02 CPI (rescaled) 2006 Q1 = 100 195.45 201.82 214.57 226.12 240.82 6.50 percent Aggregate Source: Uganda Bureau of Statistics 253 4.3 External Trade Table 4.3 A: Formal Exports by quantity, 2012 – 2016 Commodity Unit 2012 2013 2014 2015 2016 Traditional Exports Coffee Tonnes 161,656 220,546 206,831 216,064 212,622 Cotton Tonnes 43,258 18,671 12,674 15,440 23,486 Tea Tonnes 54,855 61,971 60,296 53,458 56,417 Tobacco Tonnes 31,684 55,818 25,461 27,665 27,089 Fish and Fish products Tonnes 22,928 20,087 17,597 18,052 19,112 Petroleum Products ‘000Litres. 128,087 123,977 136,326 118,270 108,296 Cement Tonnes 556,128 592,590 485,163 434,578 356,544 Telephones for Cellular '000 Iron and Steel Tonnes Animal/Veg Fats & Oils Tonnes 73,505 79,540 85,299 79,784 66,492 Sugar & Sugar Confectionary Tonnes 158,285 124,852 118,507 124,619 157,500 Beer ‘000 Litres. 22,609 27,069 17,588 15,694 17,214 Maize grain & maize flour Tonnes 174,776 122,107 134,903 358,592 268,465 Cocoa beans Tonnes 19,664 26,352 25,720 25,915 29,761 Roses and Cut flowers Tonnes 4,297 4,364 3,935 4,184 4,329 Gold and gold compounds Kg. 199 46 5 1088 8,612 Rice Tonnes 69,914 71,017 57,053 52,997 44,911 Beans and other Legumes Tonnes 30,357 37,785 39,368 157,779 128,147 Sesame seeds Tonnes 11,503 22,055 40,504 41,379 16,171 Electric Current ‘000 Kwh 99,345 105,242 167,731 121,370 165,004 Cobalt Tonnes 540 364 - - 0 Soap Tonnes 39,277 43,739 47,913 40,785 42,310 Plastic Products Tonnes 13,724 18,229 45,616 20,280 15,152 Water ‘000 Litres. 46,567 57,106 28,519 33,970 17,627 Cattle hides and Skins Tonnes 23,484 30,714 33,533 30,157 24,021 Vegetables Tonnes 7,356 8,059 12,085 11,993 15,620 Vanilla Tonnes 106 82 46 47 26.9954 Live animals '000 297 576 245 594 894.221 Soya beans Tonnes 2,613 1,938 1,388 4,233 10,599 Fruits Tonnes 1,439 2,123 2,483 7,957 10,861 Hoes and hand tools '000 131 127 50 137 153.819 Pepper Tonnes 397 405 196 446 976.44798 Other Precious Metals Kgs. 130 254 17 17 30.206 Bananas Tonnes 760 650 3070 4,673 2,870 Groundnuts Tonnes 2810 3,541 808 5356 1,733 Sorghum Tonnes 13,978 55,224 61,453 61,525 82,660 Non-Traditional Exports Note : 2016 figures are provisional Source : UBOS, URA, UCDA, CAA and UETCL 2,359 1,003 39 104 32.927 74,006 92,526 96,730 96,201 91,851 254 Table 4.3 B: Formal Exports by value (‘000 US $), 2012 – 2015 Commodity 2012 2013 2014 2015 2016 Traditional Exports Coffee 372,166 425,407 410,064 402,634 371,674 Cotton 74,898 31,686 21,918 20,778 31,571 Tea 73,902 85,589 84,739 70,317 71,488 Tobacco 69,746 120,201 66,018 72,897 64,061 Fish and Fish Products 128,322 126,727 134,791 117,597 121,467 Petroleum Products 136,698 131,892 144,894 125,404 114,096 Cement 106,867 102,885 89,097 80,016 60,897 Telephones for Cellular 143,642 43,871 3,625 15,069 1,882 83,240 94,320 93,129 86,597 70,840 Animal/Veg Fats & Oils 110,427 100,050 102,321 78,959 62,090 Sugar & Sugar Confectionary Non-Traditional Exports Iron and Steel 122,672 85,304 68,937 65,724 100,251 Beer 25,317 23,698 13,305 10,041 10,977 Maize grain & maize flour 56,916 42,254 43,567 91,055 70,301 Cocoa Beans 38,434 54,833 59,429 56,684 74,996 Roses and Cut flowers 26,802 28,725 28,732 23,209 24,571 9,166 3,132 240 35,643 339,529 Rice 38,886 36,966 28,688 24,186 20,274 Beans and Other Legumes 14,237 20,577 26,191 63,167 50,519 Sesame Seeds 11,714 28,468 55,165 50,677 14,572 Electric Current 16,414 17,159 34,185 17,031 21,274 Cobalt 14,240 10,105 - - - Soap 33,295 32,567 32,096 26,637 25,165 Plastic Products 26,703 34,986 38,019 35,006 22,226 Water 22,887 26,319 20,031 13,488 8,129 Cattle hides and Skins 41,632 64,352 73,758 63,018 51,375 Vegetables 8,306 11,730 14,655 14,127 16,753 Vanilla 2,362 2,731 2,651 3,440 3,246 Live Animals 1,748 2,797 2,006 2,020 1,305 Soya beans 1,230 887 912 2,428 7,086 Fruits 1,190 1,502 2,077 3,200 4,505 Hoes and Hand Tools 2,267 428 1,256 441 301 Pepper 2,053 1,744 573 863 3,594 Other Precious Metals 440 412 354 131 24 Bananas 466 239 587 860 1,020 Gold and Gold Compounds Groundnuts 2,496 1,750 816 5,181 1,485 Sorghum 3,793 25,565 35,165 36,234 55,297 Other 531,918 585,877 527,972 552,252 583,474 Traditional exports 590,713 662,884 582,740 566,626 538,793 Non-traditional exports 1,766,781 1,744,852 1,679,225 1,700,383 1,943,520 Total 2,357,493 2,407,736 2,261,964 2,267,009 2,482,313 Note Source : 2016 figures are provisional : UBOS, URA, UCDA, CAA and UETCL 255 Table 4.3 C: Formal Exports by percentage value, 2012 – 2016 Commodity 2012 2013 2014 2015 2016 Coffee 15.8 17.7 18.1 17.8 15.0 Cotton 3.2 1.3 1.0 0.9 1.3 Tea 3.1 3.6 3.7 3.1 2.9 Tobacco 3.0 5.0 2.9 3.2 2.6 Fish and Fish Products 5.4 5.3 6.0 5.2 4.9 Petroleum Products 5.8 5.5 6.4 5.5 4.6 Cement 4.5 4.3 3.9 3.5 2.5 Telephones for Cellular 6.1 1.8 0.2 0.7 0.1 Iron and Steel 3.5 3.9 4.1 3.8 2.9 Animal/Veg Fats & Oils 4.7 4.2 4.5 3.5 2.5 Sugar & Sugar Confectionary 5.2 3.5 3.0 2.9 4.0 Beer 1.1 1.0 0.6 0.4 0.4 Maize grain & maize flour 2.4 1.8 1.9 4.0 2.8 Cocoa Beans 1.6 2.3 2.6 2.5 3.0 Roses and Cut flowers 1.1 1.2 1.3 1.0 1.0 Gold and Gold Compounds 0.4 0.1 - 1.6 13.7 Rice 1.6 1.5 1.3 1.1 0.8 Beans and Other Legumes 0.6 0.9 1.2 2.8 2.0 Sesame Seeds 0.5 1.2 2.4 2.2 0.6 Electric Current 0.7 0.7 1.5 0.8 0.9 Cobalt 0.6 0.4 - - - Soap 1.4 1.4 1.4 1.2 1.0 Plastic Products 1.1 1.5 1.7 1.5 0.9 Water 1.0 1.1 0.9 0.6 0.3 Cattle hides and Skins 1.8 2.7 3.3 2.8 2.1 Vegetables 0.4 0.5 0.6 0.6 0.7 Vanilla 0.1 0.1 0.1 0.2 0.1 Live Animals 0.1 0.1 0.1 0.1 0.1 Soya beans 0.1 - - 0.1 0.3 Fruits 0.1 0.1 0.1 0.1 0.2 Hoes and Hand Tools 0.1 - 0.1 - 0.0 Pepper 0.1 0.1 - - 0.1 - - - - 0.0 Traditional Exports Non-Traditional Exports Other Precious Metals Bananas - - - - 0.0 Groundnuts 0.1 0.1 - 0.2 0.1 Sorghum 0.2 1.1 1.6 1.6 2.2 Other 22.6 24.3 23.3 24.4 23.5 Traditional exports 25.1 27.5 25.8 25.0 21.7 Non-traditional exports 74.9 72.5 74.2 75.0 78.3 100.0 100.0 100.0 100.0 100.0 Total Note Source : : 2016 figures are provisional UBOS, URA, UCDA, CAA and UETCL 256 Table 4.3 D: Formal Exports by value (‘000 US $), SITC-REV4 grouping, 2012 - 2016 SITC Description 2012 2013 2014 2015 2016 00 Live animals other than animals of division 03 1,848 2,797 2,006 2,020 1,305 01 Meat and meat preparations 1,648 4,598 2,497 1,615 1,564 02 Dairy products and bird's eggs 20,719 25,685 29,528 40,910 56,033 03 Fish, crustaceans and molluscs and preparations thereof 125,14 126,92 136,06 118,28 122,44 04 Cereals and cereal preparations 6 132,32 9 152,93 0 160,75 0 206,17 1 181,67 05 Vegetables and fruit 8 30,451 8 40,292 5 49,123 0 87,210 0 85,032 06 Sugars, sugar preparations and honey 123,27 85,951 69,184 66,286 100,72 07 Coffee, tea, cocoa, spices, and manufactures thereof 9 492,57 571,82 558,42 534,96 9 526,10 08 Feeding stuff for animals (not including unmilled cereals) 4 20,098 9 27,279 4 10,043 2 16,118 9 29,335 09 Miscellaneous edible products and preparations 11,038 15,805 8,407 8,974 6,075 11 Beverages 55,661 58,343 42,791 30,504 26,817 12 Tobacco and tobacco manufactures 69,844 120,20 66,018 72,897 64,061 21 Hides, skins and fur skins, raw 102 1 460 352 88 4 22 Oil-seeds and oleaginous fruits 16,827 33,671 59,031 61,345 27,912 23 Crude rubber (including synthetic and reclaimed) 2 20 10 18 1 24 Cork and wood 4,216 5,917 13,319 6,884 2,107 25 Pulp and waste paper 1,585 1,133 84 21 45 26 Textile fibres (other than wool tops), wastes; not manufactured 78,990 37,373 26,677 24,861 35,073 27 Crude fertilizers and minerals (excl. coal, petrol, precious 8,461 3,008 4,566 5,011 5,286 28 stones) Metalliferous ores and metal scrap 1,985 2,643 4,848 2,350 2,326 29 Crude animal and vegetable materials, nes 59,665 58,903 61,372 54,525 54,404 32 Coal, coke and briquettes 33 Petroleum, petroleum products and related materials 34 Gas, Natural 35 Electric current 41 Animal oils and fats 32 4 - 170 0 42 Fixed vegetable fats and oils, crude, refined or fractionated 61,324 51,063 43,853 40,147 44,054 43 Anim. or veget. fats and oils, processed; animal or vegetable 47,050 47,684 55,816 36,127 17,411 51 waxes Organic chemicals 4,255 3,126 2,779 4,063 4,552 52 Inorganic chemicals 1,614 3,540 2,868 1,872 1,622 53 Dyeing, tanning and colouring materials 10,602 9,939 8,850 7,886 6,152 54 Medical and pharmaceutical products 9,147 10,656 9,769 12,323 25,619 55 Essential oils, perfume materials; toilet cleaning preparations 50,026 51,517 52,296 47,220 46,475 56 Fertilizers , manufactured (other than those of group 272) 113 169 116 501 1,488 57 Plastics in primary forms 4,773 4,673 6,174 5,734 4,015 58 Plastics in non-primary forms 6,499 8,452 5,411 4,912 4,945 59 Chemical materials and products, nes 3,370 4,253 6,713 11,929 13,186 2 - 12 - 0 62 139,58 136,43 149,74 131,92 120,37 7 37 0 107 9 98 5 69 1 24 16,414 17,159 34,185 17,031 21,286 257 Table 4.3 D (Cont’d): Formal Exports by value (‘000 US $), SITC_rev4 grouping, 2012 –16 SITC Description 2012 2013 2014 2015 2016 2 61 Leather, leather manufactures, nes, and dressed fur skins 41,533 63,921 73,406 62,931 51,379 62 Rubber manufactures, nes 2,029 2,427 2,672 3,362 5,652 63 Cork and wood manufactures (excl. furniture) 5,081 7,075 3,636 8,216 25,966 64 Paper, paperboard, and articles of paper pulp, paper or 15,663 18,037 19,743 26,143 14,355 8,901 12,539 paperboard 65 Textile yarn, fabrics, made-up articles, nes, and related products 19,538 12,280 9,352 66 Non-metallic mineral manufactures, nes 121,377 117,862 107,372 97,730 66,127 67 Iron and steel 109,237 117,127 113,574 105,634 84,447 68 Non-ferrous metals 15,638 11,178 2,276 2,448 2,470 69 Manufactures of metals, nes 26,581 24,514 18,323 13,455 15,996 71 Power generating machinery and equipment 16,902 13,753 9,899 7,591 11,579 72 Machinery specialized for particular industries 35,558 42,765 39,396 42,411 22,557 73 Metal working machinery 1,146 876 4,447 1,998 1,097 74 General industrial machinery and equipment, nes, machine parts, 11,906 13,004 9,333 8,912 12,270 nes 75 Office machines and automatic data-processing machines 76 Telecommunications and sound recording/reproducing 2,682 3,810 4,574 7,791 18,757 151,466 51,560 10,313 24,559 5,934 apparatus, etc 77 Electrical machinery, apparatus and appliances, nes 10,278 4,507 5,214 5,357 10,139 78 Road vehicles (including air-cushion vehicles) 75,621 71,457 45,553 44,680 46,567 79 Other transport equipment 11,234 30,937 28,818 28,257 41,787 81 Prefabricated buildings; sanitary, plumbing, etc, fixtures and 1,831 4,289 1,275 4,902 6,527 9,493 8,251 6,992 5,658 4,845 fittings 82 Furniture and parts thereof; bedding, mattresses, mattress supports, etc 83 Travel goods, handbags and similar containers 1,166 518 364 1,298 725 84 Articles of apparel and clothing accessories 2,651 3,901 1,583 3,525 4,446 85 Footwear 4,522 5,444 6,502 3,406 3,139 87 Professional, scientific and controlling instruments and 10,249 10,838 17,890 16,536 5,528 380 213 530 565 277 33,253 39,494 34,979 32,143 28,269 3 3 - - - 9,166 3,132 180 35,643 339,34 apparatus, nes 88 Photographic apparatus, equipment and supplies and optical goods; watches 89 Miscellaneous manufactured articles, nes 96 Coin (excl. gold coin), not being legal tender 97 Gold, non-monetary (excl. gold ores and concentrates) 9 TOTAL Note : 2016 figures are provisional Source : UBOS, URA, UCDA, CAA and UETCL 2,357,4 2,407,7 2,261,9 2,267,0 2,482,3 93 36 64 09 13 258 Table 4.3 E: Imports by region and country of origin (‘000 US $), 2012 – 2016 REGION / COUNTRY 2012 2013 2014 2015 2016 COMESA 757,830 700,825 777,383 731,146 608,550 Kenya 614,723 589,313 624,643 586,402 485,610 Egypt 60,445 54,359 65,918 68,097 52,959 D.R. Congo 32,531 24,480 27,224 21,912 22,798 Swaziland 23,242 13,665 22,014 20,473 21,584 Rwanda 8,421 9,939 13,113 10,536 12,577 Sudan 2,108 1,118 1,303 527 157 11,403 5,084 9,538 9,270 6,063 1,256 1,199 7,523 6,071 1,909 833 121 402 3,218 1,232 Mauritius Zambia Zimbabwe 2,867 1,548 5,705 4,640 3,661 OTHER AFRICA Other 403,453 318,854 366,355 344,570 304,935 South Africa 297,564 250,566 259,880 256,924 214,892 Tanzania 51,819 47,258 83,392 73,584 72,669 Other 54,070 21,030 23,082 11,795 14,864 2,978,376 3,247,650 3,377,098 2,975,965 2,491,472 1,266,204 1,559,857 1,490,195 1,153,940 834,545 China 684,227 622,044 739,643 875,016 886,223 Japan 323,698 331,694 354,635 346,849 245,537 Indonesia 235,606 171,098 224,121 203,585 190,074 Singapore 67,820 154,321 73,906 42,098 36,360 Thailand 67,372 78,674 67,603 45,904 38,286 Pakistan 55,741 67,515 89,523 61,172 49,029 Malaysia 50,919 63,926 83,494 28,271 47,379 Hong Kong 49,332 53,288 39,160 48,709 25,858 Russian Federation 82,359 49,684 70,352 80,474 55,631 Korea, Republic Of 48,809 38,679 79,299 42,951 32,132 ASIA India Viet Nam Taiwan Province Of Bangladesh Philippines Sri Lanka Korea, Dem. People' Other EUROPEAN UNION France Germany, Federal Re Netherlands 8,697 32,768 11,658 21,978 29,331 32,298 18,099 38,961 15,698 12,173 1,753 2,593 2,575 4,980 3,950 962 1,362 1,361 1,808 2,172 1,590 1,150 1,038 1,380 2,286 945 868 9,485 1,135 463 44 32 86 14 44 653,321 684,338 629,422 637,018 552,845 66,746 124,691 83,646 107,479 27,853 129,231 111,201 117,667 108,079 103,844 59,722 108,131 58,594 91,119 59,806 126,894 103,366 99,392 83,476 74,392 Belgium 50,703 75,236 64,330 33,334 58,392 Italy 54,519 38,351 37,440 31,371 40,935 United Kingdom Note: Figure for Kenya, Rwanda, Sudan, DR Congo and Tanzania include both Formal and Informal Trade Statistics. 259 Table 4.3 E (Cont’d): Imports by Region and country of Origin ('000 US $), 2012 – 2016 REGION / COUNTRY 2012 2013 2014 2015 2016 Sweden 49,772 28,264 21,889 20,837 16,424 Ireland 21,035 26,594 26,635 23,755 23,506 Denmark 24,236 19,593 14,714 31,254 24,386 Spain 13,724 14,717 23,956 16,097 22,764 Other 56,740 34,195 81,158 90,217 100,544 100,822 87,234 113,460 67,082 65,534 Ukraine 34,022 37,730 56,674 19,194 10,982 Turkey 40,840 26,561 24,730 22,299 23,114 Switzerland 23,316 18,128 24,988 20,600 26,653 1,895 3,539 6,169 4,579 3,858 OTHER EUROPE Norway Other 749 1,275 898 410 927 921,983 599,632 720,919 694,427 740,834 United Arab Emirate 450,639 387,534 401,281 405,899 413,198 Saudi Arabia 296,140 104,686 177,006 222,981 249,103 Bahrain 72,054 58,239 101,481 15,548 29,647 Kuwait 21,258 14,116 5,582 899 394 Oman 42,505 9,458 12,918 17,500 24,798 Qatar 15,653 7,930 6,241 13,326 8,339 Israel 6,899 6,190 7,171 7,185 5,045 Lebanon 7,774 4,108 3,518 3,588 3,837 Jordan 2,465 3,784 3,270 3,275 1,921 Iran (Islamic Republic 5,876 3,504 2,305 4,195 4,510 MIDDLE EAST Other 719 82 146 29 43 121,002 147,974 121,103 113,518 97,644 United States 96,489 121,023 88,964 89,326 76,869 Canada 23,883 25,036 27,923 21,584 18,754 351 1,615 3,221 2,273 1,299 NORTH AMERICA/CARIBBEA Mexico Other 279 301 995 336 721 121,106 54,122 13,065 19,132 26,729 52,981 35,867 9,123 8,765 21,364 Paraguay 4,645 5,692 8 - 0 Argentina 61,650 2,474 1,488 4,457 3,757 Colombia 638 2,264 1,068 474 320 Uruguay 12 1,582 5 199 133 S/CENTRAL AMERICA Brazil Other 1,182 6,243 1,373 5,237 1,154 ROW 37,937 30,532 20,534 9,528 5,787 Total 6,095,830 5,871,161 6,139,337 5,592,386 4,894,329 Source: Uganda Bureau of Statistics, URA, UCDA, CAA, UETCL 260 Table 4.2 F: Imports by percentage, region and country of origin, 2012 – 2016 Region/Country 2012 2013 2014 2015 2016 COMESA 12.4 11.9 12.7 13.1 12.4 Kenya 10.1 10.0 10.2 10.5 9.9 Egypt 1.0 0.9 1.1 1.2 1.1 D.R.Congo 0.5 0.4 0.4 0.4 0.5 Swaziland 0.4 0.2 0.4 0.4 0.4 Rwanda 0.1 0.2 0.2 0.2 0.3 Sudan 0.0 0.0 0.0 0.0 0.0 Mauritius 0.2 0.1 0.2 0.2 0.1 Zambia 0.0 0.0 0.1 0.1 0.0 Zimbabwe 0.0 0.0 0.0 0.1 0.0 Other 0.0 0.0 0.1 0.1 0.1 OTHER AFRICA 6.6 5.4 6.0 6.2 6.2 South Africa 4.9 4.3 4.2 4.6 4.4 Tanzania 0.9 0.8 1.4 1.3 1.5 Other 0.9 0.4 0.4 0.2 0.3 48.9 55.3 55.0 53.2 50.9 India 20.8 26.6 24.3 20.6 17.1 China 11.2 10.6 12.0 15.6 18.1 Japan 5.3 5.6 5.8 6.2 5.0 Indonesia 3.9 2.9 3.7 3.6 3.9 Singapore 1.1 2.6 1.2 0.8 0.7 Thailand 1.1 1.3 1.1 0.8 0.8 Pakistan 0.9 1.1 1.5 1.1 1.0 Malaysia 0.8 1.1 1.4 0.5 1.0 Hong Kong 0.8 0.9 0.6 0.9 0.5 Russian Federation 1.4 0.8 1.1 1.4 1.1 Korea, Republic Of 0.8 0.7 1.3 0.8 0.7 Viet Nam 0.1 0.6 0.2 0.4 0.6 Taiwan Province Of 0.5 0.3 0.6 0.3 0.2 Bangladesh 0.0 0.0 0.0 0.1 0.1 Philippines 0.0 0.0 0.0 0.0 0.0 Sri Lanka 0.0 0.0 0.0 0.0 0.0 Korea, Dem. People' 0.0 0.0 0.2 0.0 0.0 Other 0.0 0.0 0.0 0.0 0.0 ASIA EUROPEAN UNION 10.7 11.7 10.3 11.4 11.3 France 1.1 2.1 1.4 1.9 0.6 Germany, Federal Re 2.1 1.9 1.9 1.9 2.1 Netherlands 1.0 1.8 1.0 1.6 1.2 United Kingdom 2.1 1.8 1.6 1.5 1.5 Belgium 0.8 1.3 1.0 0.6 1.2 Italy 0.9 0.7 0.6 0.6 0.8 Sweden 0.8 0.5 0.4 0.4 0.3 Ireland 0.3 0.5 0.4 0.4 0.5 Denmark 0.4 0.3 0.2 0.6 0.5 261 Table 4.2 F (Cont’d): Imports by percentage, region and country of origin, 2012 – 2016 REGION/COUNTRY 2012 2013 2014 2015 2016 Spain 0.2 0.3 0.4 0.3 0.5 Other 0.9 0.6 1.3 1.6 2.1 1.7 1.5 1.8 1.2 1.3 Ukraine 0.6 0.6 0.9 0.3 0.2 Turkey 0.7 0.5 0.4 0.4 0.5 Switzerland 0.4 0.3 0.4 0.4 0.5 Norway 0.0 0.1 0.1 0.1 0.1 OTHER EUROPE Other 0.0 0.0 0.0 0.0 0.0 15.1 10.2 11.7 12.4 15.1 United Arab Emirate 7.4 6.6 6.5 7.3 8.4 Saudi Arabia 4.9 1.8 2.9 4.0 5.1 Bahrain 1.2 1.0 1.7 0.3 0.6 Kuwait 0.3 0.2 0.1 0.0 0.0 Oman 0.7 0.2 0.2 0.3 0.5 Qatar 0.3 0.1 0.1 0.2 0.2 Israel 0.1 0.1 0.1 0.1 0.1 Lebanon 0.1 0.1 0.1 0.1 0.1 Jordan 0.0 0.1 0.1 0.1 0.0 Iran (Islamic Republic 0.1 0.1 0.0 0.1 0.1 Other 0.0 0.0 0.0 0.0 0.0 2.0 2.5 2.0 2.0 2.0 United States 1.6 2.1 1.4 1.6 1.6 Canada 0.4 0.4 0.5 0.4 0.4 Mexico 0.0 0.0 0.1 0.0 0.0 Other 0.0 0.0 0.0 0.0 0.0 2.0 0.9 0.2 0.3 0.5 Brazil 0.9 0.6 0.1 0.2 0.4 Paraguay 0.1 0.1 0.0 - 0.0 Argentina 1.0 0.0 0.0 0.1 0.1 Colombia 0.0 0.0 0.0 0.0 0.0 Uruguay 0.0 0.0 0.0 0.0 0.0 Other MIDDLE EAST NORTH AMERICA/CARIBBEAN S/CENTRAL AMERICA 0.0 0.1 0.0 0.1 0.0 Row 0.6 0.5 0.3 0.2 0.1 Total 100.0 100.0 100.0 100.0 100.0 262 Table 4.3 G: Formal Imports by value (‘000 US $), SITCREV4 groupings, 2012 – 2016 SITC2 Description 2012 2013 2014 2015 2016 00 Live animals other than animals of division 03 2,494 1,907 3,714 3,737 3,350 01 Meat and meat preparations 2,861 2,547 2,591 2,753 2,170 02 Dairy products and bird's eggs 5,794 5,805 6,514 5,047 3,260 03 Fish, crustaceans and molluscs and preparations thereof 04 Cereals and cereal preparations 05 Vegetables and fruit 06 Sugars, sugar preparations and honey 07 08 09 11 3,762 2,410 3,616 2,256 2,662 306,734 247,365 273,862 198,016 195,173 16,434 14,812 20,915 20,192 24,145 160,930 146,961 110,340 102,904 81,972 Coffee, tea, cocoa, spices, and manufactures thereof 8,020 7,742 25,191 22,049 14,778 Feeding stuff for animals (not including unmilled cereals) 2,274 4,040 4,715 6,973 7,968 Miscellaneous edible products and preparations 39,513 39,133 42,126 42,109 37,913 Beverages 40,674 44,185 48,528 43,307 33,148 12 Tobacco and tobacco manufactures 11,256 9,428 10,395 9,840 8,203 21 Hides, skins and furskins, raw 1,450 2,433 4,391 5,663 2,534 22 Oil-seeds and oleaginous fruits 1,549 2,420 2,267 2,301 2,657 23 Crude rubber (including synthetic and reclaimed) 24 Cork and wood 25 Pulp and waste paper 550 411 359 619 474 26 Textile fibres (other than wool tops), wastes; not manufactured 57,512 69,174 76,799 73,507 79,150 27 Crude fertilizers and minerals (excl. coal, petrol, precious stones) 30,590 28,361 44,069 37,842 45,084 28 Metalliferous ores and metal scrap 8,055 6,300 11,913 15,227 14,242 29 Crude animal and vegetable materials, nes 7,097 6,091 6,929 11,401 10,150 32 Coal, coke and briquettes 33 Petroleum, petroleum products and related materials 34 Gas, natural and manufactured 35 Electric current 41 Animal oils and fats 42 Fixed vegetable fats and oils, crude, refined or fractionated 43 Anim. or veget. fats and oils, processed; animal or vegetable waxes 26,544 2,880 4,885 2,050 1,592 51 Organic chemicals 93,369 102,357 85,745 91,359 92,869 52 Inorganic chemicals 34,448 38,596 35,149 37,227 36,576 53 Dyeing, tanning and colouring materials 21,018 23,113 26,305 30,695 26,862 54 Medical and pharmaceutical products 255,845 350,155 360,556 373,364 315,603 55 Essential oils, perfume materials; toilet cleaning preparations 97,159 104,397 118,511 109,950 94,390 56 Fertilizers , manufactured (other than those of group 272) 36,845 49,564 22,854 32,332 33,212 57 Plastics in primary forms 58 Plastics in non-primary forms 118 88 445 1,481 3,023 1,098 867 4,585 1,720 1,284 1,797 4,231 3,165 3,006 2,383 1,341,176 1,310,171 1,414,363 1,007,796 774,959 13,003 14,347 15,923 9,672 8,507 8,883 11,016 7,184 8,979 5,721 361 418 160 499 377 236,060 217,041 253,077 198,339 221,471 157,773 162,759 178,603 183,027 164,365 37,079 28,888 32,823 49,876 37,668 263 Table 4.3 G (Cont’d): Formal Imports by value (‘000 US $), SITC4 groupings, 2012 – 16 SITC2 Description 2012 2013 2014 2015 2016 61,682 78,226 87,427 119,492 106,355 173 231 234 226 339 59,011 66,271 68,754 60,353 65,798 5,894 5,036 4,507 4,257 4,261 119,569 132,403 129,443 126,146 134,662 76,385 112,996 106,323 93,254 126,245 59 Chemical materials and products, nes 61 Leather, leather manufactures, nes, and dressed furskins 62 Rubber manufactures, nes 63 Cork and wood manufactures (excl. furniture) 64 Paper, paperboard, and articles of paper pulp, paper or paperboard 65 Textile yarn, fabrics, made-up articles, nes, and related products 66 Non-metallic mineral manufactures, nes 162,597 142,307 158,396 157,700 143,349 67 Iron and steel 247,689 258,959 252,230 276,042 207,788 68 Non-ferrous metals 29,419 29,981 37,144 34,563 26,011 69 Manufactures of metals, nes 87,084 105,670 130,429 85,155 101,223 71 Power generating machinery and equipment 90,414 37,284 41,750 58,619 65,328 72 Machinery specialized for particular industries 375,874 225,024 252,253 257,605 158,179 73 Metal working machinery 44,910 14,681 16,298 20,967 13,039 74 General industrial machinery and equipment, nes, machine parts, nes 180,823 127,635 127,232 147,535 141,541 75 Office machines and automatic data-processing machines 66,473 77,534 94,746 56,495 55,042 76 Telecommunications and sound recording/reproducing apparatus, etc 292,126 214,099 145,053 204,533 121,930 77 Electrical machinery, apparatus and appliances, nes 160,703 141,547 192,153 169,157 158,938 78 Road vehicles (including air-cushion vehicles) 517,775 516,316 531,916 518,909 412,857 79 Other transport equipment 42,803 47,745 54,525 49,812 40,390 81 Prefabricated buildings; sanitary, plumbing, etc, fixtures and fittings 19,169 21,164 29,723 23,468 23,352 82 Furniture and parts thereof; bedding, mattresses, mattress supports, etc 19,281 19,234 21,399 19,861 18,928 83 Travel goods, handbags and similar containers 8,869 10,321 11,761 10,945 13,130 84 Articles of apparel and clothing accessories 50,170 46,127 48,097 40,295 42,858 85 Footwear 44,183 51,165 50,524 49,835 56,221 87 Professional, scientific and controlling instruments and apparatus, nes 83,590 148,467 94,385 73,702 79,148 88 Photographic apparatus, equipment & supplies & optical goods; watches 5,583 6,160 5,422 5,409 3,484 89 Miscellaneous manufactured articles, nes 120,168 118,512 117,831 116,627 119,169 96 Coin (excl. gold coin), not being legal tender 300 - 0 2 - 97 Gold, non-monetary (excl. gold ores and concentrates) 1 0 7 41 0 TOTAL 6,042,841 5,817,510 6,073,528 5,528,117 4,829,459 Note : 2016 figures are provisional Source : UBOS, URA, UCDA, CAA and UETCL 264 Table 4.3 H: Formal Imports by percentage, SITC groupings, 2012- 2016 SITC2 Description 2012 2013 2014 2015 2016 00 Live animals other than animals of division 03 0.0 0.0 0.1 0.1 0.1 01 Meat and meat preparations 0.0 0.0 0.0 0.0 0.0 02 Dairy products and bird's eggs 0.1 0.1 0.1 0.1 0.1 03 Fish, crustaceans and molluscs and preparations thereof 0.1 0.0 0.1 0.0 0.1 04 Cereals and cereal preparations 5.1 4.3 4.5 3.6 4.0 05 Vegetables and fruit 0.3 0.3 0.3 0.4 0.5 06 Sugars, sugar preparations and honey 2.7 2.5 1.8 1.9 1.7 07 Coffee, tea, cocoa, spices, and manufactures thereof 0.1 0.1 0.4 0.4 0.3 08 Feeding stuff for animals (not including unmilled cereals) 0.0 0.1 0.1 0.1 0.2 09 Miscellaneous edible products and preparations 0.7 0.7 0.7 0.8 0.8 11 Beverages 0.7 0.8 0.8 0.8 0.7 12 Tobacco and tobacco manufactures 0.2 0.2 0.2 0.2 0.2 21 Hides, skins and furskins, raw 0.0 0.0 0.1 0.1 0.1 22 Oil-seeds and oleaginous fruits 0.0 0.0 0.0 0.0 0.1 23 Crude rubber (including synthetic and reclaimed) 0.0 0.0 0.0 0.0 0.1 24 Cork and wood 0.0 0.0 0.1 0.0 0.0 25 Pulp and waste paper 0.0 0.0 0.0 0.0 0.0 26 Textile fibres (other than wool tops), wastes; not manufactured 1.0 1.2 1.3 1.3 1.6 27 Crude fertilizers and minerals (excl. coal, petrol, precious stones) 0.5 0.5 0.7 0.7 0.9 28 Metalliferous ores and metal scrap 0.1 0.1 0.2 0.3 0.3 29 Crude animal and vegetable materials, nes 0.1 0.1 0.1 0.2 0.2 32 Coal, coke and briquettes 0.0 0.1 0.1 0.1 0.0 33 Petroleum, petroleum products and related materials 22.2 22.5 23.3 18.2 16.0 34 Gas, natural and manufactured 0.2 0.2 0.3 0.2 0.2 35 Electric current 0.1 0.2 0.1 0.2 0.1 41 Animal oils and fats 0.0 0.0 0.0 0.0 0.0 42 Fixed vegetable fats and oils, crude, refined or fractionated 3.9 3.7 4.2 3.6 4.6 43 Anim. or veget. fats and oils, processed; animal or vegetable waxes 0.4 0.0 0.1 0.0 0.0 51 Organic chemicals 1.5 1.8 1.4 1.7 1.9 52 Inorganic chemicals 0.6 0.7 0.6 0.7 0.8 53 Dyeing, tanning and colouring materials 0.3 0.4 0.4 0.6 0.6 54 Medical and pharmaceutical products 4.2 6.0 5.9 6.8 6.5 55 Essential oils, perfume materials; toilet cleaning preparations 1.6 1.8 2.0 2.0 2.0 56 Fertilizers , manufactured (other than those of group 272) 0.6 0.9 0.4 0.6 0.7 57 Plastics in primary forms 2.6 2.8 2.9 3.3 3.4 58 Plastics in non-primary forms 0.6 0.5 0.5 0.9 0.8 265 Table 4.3 H (Cont’d): Formal Imports by percentage, SITC groupings, 2012- 2016 SITC2 Description 2012 2013 2014 2015 2016 59 Chemical materials and products, nes 1.0 1.3 1.4 2.2 2.2 61 Leather, leather manufactures, nes, and dressed furskins 0.0 0.0 0.0 0.0 0.0 62 Rubber manufactures, nes 1.0 1.1 1.1 1.1 1.4 63 Cork and wood manufactures (excl. furniture) 0.1 0.1 0.1 0.1 0.1 64 Paper, paperboard, and articles of paper pulp, paper or paperboard 2.0 2.3 2.1 2.3 2.8 65 Textile yarn, fabrics, made-up articles, nes, and related products 1.3 1.9 1.8 1.7 2.6 66 Non-metallic mineral manufactures, nes 2.7 2.4 2.6 2.9 3.0 67 Iron and steel 4.1 4.5 4.2 5.0 4.3 68 Non-ferrous metals 0.5 0.5 0.6 0.6 0.5 69 Manufactures of metals, nes 1.4 1.8 2.1 1.5 2.1 71 Power generating machinery and equipment 1.5 0.6 0.7 1.1 1.4 72 Machinery specialized for particular industries 6.2 3.9 4.2 4.7 3.3 73 Metal working machinery 0.7 0.3 0.3 0.4 0.3 74 General industrial machinery and equipment, nes, machine parts, nes 3.0 2.2 2.1 2.7 2.9 75 Office machines and automatic data-processing machines 1.1 1.3 1.6 1.0 1.1 76 Telecommunications and sound recording/reproducing apparatus, etc 4.8 3.7 2.4 3.7 2.5 77 Electrical machinery, apparatus and appliances, nes 2.7 2.4 3.2 3.1 3.3 78 Road vehicles (including air-cushion vehicles) 8.6 8.9 8.8 9.4 8.5 79 Other transport equipment 0.7 0.8 0.9 0.9 0.8 81 Prefabricated buildings; sanitary, plumbing, etc, fixtures and fittings 0.3 0.4 0.5 0.4 0.5 82 Furniture and parts thereof; bedding, mattresses, mattress supports, etc 0.3 0.3 0.4 0.4 0.4 83 Travel goods, handbags and similar containers 0.1 0.2 0.2 0.2 0.3 84 Articles of apparel and clothing accessories 0.8 0.8 0.8 0.7 0.9 85 Footwear 0.7 0.9 0.8 0.9 1.2 87 Professional, scientific and controlling instruments and apparatus, nes 1.4 2.6 1.6 1.3 1.6 88 Photographic apparatus, equipment and supplies and optical goods; watches 0.1 0.1 0.1 0.1 0.1 89 Miscellaneous manufactured articles, nes 2.0 2.0 1.9 2.1 2.5 96 Coin (excl. gold coin), not being legal tender 0.0 - 0.0 0.0 - 97 Gold, non-monetary (excl. gold ores and concentrates) 0.0 0.0 0.0 0.0 0.0 100.0 100.0 100.0 100.0 100.0 TOTAL Note : 2016 figures are provisional Source : UBOS, URA, UCDA, CAA and UETCL 266 Table 4.3 I: Exports by region and country of destination (‘000 US$), 2012 – 2016 REGION/COUNTRY COMESA 2012 2013 2014 2015 2016 1,489,848 1,343,982 1,151,203 1,262,491 1,225,549 Kenya 334,027 384,123 390,321 523,151 483,227 D.R. Congo 398,789 403,182 321,139 333,915 398,201 Rwanda 264,199 244,169 269,884 259,322 226,726 Sudan 406,578 239,382 105,091 88,013 61,898 Burundi 61,336 63,856 58,408 48,147 45,114 Ethiopia 12,175 4,115 1,220 1,723 360 12,743 5,155 5,141 8,219 10,023 OTHER AFRICA Other 265,640 441,628 518,964 451,851 440,243 South Sudan 132,816 306,248 399,766 344,525 281,159 Tanzania 101,482 90,734 79,292 78,985 112,632 Tunisia 3,147 8,744 - 159 8,493 Somalia 13,710 7,780 4,475 2,255 2,793 9,475 7,429 9,382 6,383 17,405 942 6,409 7,828 4,785 4,136 South Africa Morocco Other 4,068 14,284 18,220 14,759 13,625 412,204 436,097 477,590 440,768 430,056 Italy 46,611 57,166 98,547 101,418 99,623 Netherlands 95,480 103,735 89,422 78,196 79,869 Germany, Federal Re 70,776 83,030 75,082 76,537 76,622 Belgium 47,290 59,092 89,829 69,035 67,876 Spain 32,468 30,195 36,750 36,040 34,634 United Kingdom 58,022 47,518 33,274 29,271 16,458 Portugal 12,411 7,478 9,992 12,437 14,128 France 20,260 17,394 16,118 8,710 9,855 Poland 9,174 10,878 8,920 8,818 6,053 Denmark 2,857 2,845 2,686 2,353 5,219 EUROPEAN UNION Other OTHER EUROPE Switzerland Turkey Other NORTH AMERICA/CARIBBEA United States Canada Other 16,855 16,765 16,972 17,951 19,719 128,329 171,468 64,950 42,015 51,590 123,522 158,285 55,554 36,997 34,587 1,590 6,160 5,045 1,065 13,789 3,217 7,023 4,351 3,953 3,214 25,925 44,756 48,192 42,722 52,466 23,838 36,729 39,786 32,969 40,056 1,596 7,281 7,643 7,175 8,657 492 745 763 2,577 3,752 Note: Figure for Kenya, Rwanda, Sudan, DR Congo, Burundi and Tanzania include both Formal and Informal Trade Statistics. 267 Table 4.3 I (Cont’d): Exports by region and country of destination (‘000 US $), 2012 – 2016 REGION/COUNTRY 2012 2013 2014 2015 2016 190,483 101,834 57,165 108,837 389,953 176,401 82,717 35,017 82,414 372,310 7,828 5,752 11,461 9,922 8,531 Kuwait 205 5,590 57 2,646 190 Jordan 1,748 1,656 1,816 1,856 2,309 Other 4,301 6,118 8,813 11,999 6,612 156,857 151,906 205,286 188,437 195,303 China 29,063 37,983 65,995 57,739 27,038 Singapore 54,013 36,465 31,753 15,673 14,345 Hong Kong 28,603 27,068 36,016 36,638 38,923 India 14,374 13,867 27,875 24,737 45,164 Russian Federation 6,547 12,019 5,575 6,643 13,027 Malaysia 6,369 9,630 14,260 18,331 25,414 Japan 5,695 4,709 6,110 14,649 7,915 Viet Nam 6,510 3,274 1,635 1,776 1,841 Korea, Republic Of 106 2,102 5,851 5,130 3,438 Pakistan 326 1,799 2,403 1,931 3,004 2,233 1,684 2,322 98 1,335 164 249 1,255 2,799 9,993 2,855 1,058 4,234 2,292 3,866 2,654 3,215 4,953 1,144 352 MIDDLE EAST United Arab Emirate Israel ASIA Korea, Dem. People' INDONESIA Other S/CENTRAL AMERICA Ecuador 1,885 2,621 4,855 594 2 Brazil 9 175 3 2 30 Other 760 419 95 547 321 3,110 2,567 4,074 3,948 3,003 UNKNOWN 136,187 131,573 144,179 123,922 113,035 Grand Total 2,811,238 2,829,024 2,676,555 2,666,134 2,901,549 ROW Note : 2016 figures are provisional Source : UBOS, URA, UCDA, CAA and UETCL 268 Table 4.3 J: Exports by percentage, region and country of destination, 2012 – 2016 REGION/COUNTRY 2012 2013 2014 2015 2016 COMESA 53.0 47.5 43.0 47.4 42.2 Kenya 11.9 13.6 14.6 19.6 16.7 D.R. Congo 14.2 14.3 12.0 12.5 13.7 Rwanda 9.4 8.6 10.1 9.7 7.8 Sudan 14.5 8.5 3.9 3.3 2.1 Burundi 2.2 2.3 2.2 1.8 1.6 Ethiopia 0.4 0.1 0.0 0.1 0.0 Other 0.5 0.2 0.2 0.3 0.3 OTHER AFRICA 9.4 15.6 19.4 16.9 15.2 South Sudan 4.7 10.8 14.9 12.9 9.7 Tanzania 3.6 3.2 3.0 3.0 3.9 Tunisia 0.1 0.3 - 0.0 0.3 Somalia 0.5 0.3 0.2 0.1 0.1 South Africa 0.3 0.3 0.4 0.2 0.6 Morocco 0.0 0.2 0.3 0.2 0.1 Other 0.1 0.5 0.7 0.6 0.5 14.7 15.4 17.8 16.5 14.8 Italy 1.7 2.0 3.7 3.8 3.4 Netherlands 3.4 3.7 3.3 2.9 2.8 Germany, Federal Re 2.5 2.9 2.8 2.9 2.6 Belgium 1.7 2.1 3.4 2.6 2.3 Spain 1.2 1.1 1.4 1.4 1.2 United Kingdom 2.1 1.7 1.2 1.1 0.6 Portugal 0.4 0.3 0.4 0.5 0.5 France 0.7 0.6 0.6 0.3 0.3 Poland 0.3 0.4 0.3 0.3 0.2 Denmark 0.1 0.1 0.1 0.1 0.2 Other 0.6 0.6 0.6 0.7 0.7 4.6 6.1 2.4 1.6 1.8 Switzerland 4.4 5.6 2.1 1.4 1.2 Turkey 0.1 0.2 0.2 0.0 0.5 Other 0.1 0.2 0.2 0.1 0.1 0.9 1.6 1.8 1.6 1.8 United States 0.8 1.3 1.5 1.2 1.4 Canada 0.1 0.3 0.3 0.3 0.3 Other 0.0 0.0 0.0 0.1 0.1 EUROPEAN UNION OTHER EUROPE NORTH AMERICA/ CARIBBEA 269 Table 4.3 J (ct’d): Exports by percentage, region and country of destination, 2012 –16 REGION/COUNTRY 2012 2013 2014 2015 2016 6.8 3.6 2.1 4.1 13.4 United Arab Emirate 6.3 2.9 1.3 3.1 12.8 Israel 0.3 0.2 0.4 0.4 0.3 Kuwait 0.0 0.2 0.0 0.1 0.0 Jordan 0.1 0.1 0.1 0.1 0.1 Other 0.2 0.2 0.3 0.5 0.2 MIDDLE EAST ASIA 5.6 5.4 7.7 7.1 6.7 China 1.0 1.3 2.5 2.2 0.9 Singapore 1.9 1.3 1.2 0.6 0.5 Hong Kong 1.0 1.0 1.3 1.4 1.3 India 0.5 0.5 1.0 0.9 1.6 Russian Federation 0.2 0.4 0.2 0.2 0.4 Malaysia 0.2 0.3 0.5 0.7 0.9 Japan 0.2 0.2 0.2 0.5 0.3 Viet Nam 0.2 0.1 0.1 0.1 0.1 Korea, Republic Of 0.0 0.1 0.2 0.2 0.1 Pakistan 0.0 0.1 0.1 0.1 0.1 Korea, Dem. People' 0.1 0.1 0.1 0.0 0.0 INDONESIA 0.0 0.0 0.0 0.1 0.3 Other 0.1 0.0 0.2 0.1 0.1 0.1 0.1 0.2 0.0 0.0 Ecuador 0.1 0.1 0.2 0.0 0.0 Brazil 0.0 0.0 0.0 0.0 0.0 Other 0.0 0.0 0.0 0.0 0.0 ROW 0.1 0.1 0.2 0.1 0.1 UNKNOWN 4.8 4.7 5.4 4.6 3.9 S/CENTRAL AMERICA Note : 2016 figures are provisional Source : UBOS, URA, UCDA, CAA and UETCL 270 Table 4.3 K: Re-exports by value (‘000 US $), SITC grouping, 2012 – 2016 Sitc2 1 2 3 4 5 6 7 8 9 11 12 21 22 23 24 25 26 27 28 29 32 33 34 35 41 42 43 51 52 53 54 55 56 57 58 59 61 62 63 64 65 66 67 68 69 71 72 73 74 75 76 77 78 79 81 82 83 84 85 87 88 89 97 Description Live animals other than animals of division 03 Meat and meat preparations Dairy products and bird's eggs Fish, crustaceans and molluscs and preparations thereof Cereals and cereal preparations Vegetables and fruit Sugars, sugar preparations and honey Coffee, tea, cocoa, spices, and manufactures thereof Feeding stuff for animals (not including unmilled cereals) Miscellaneous edible products and preparations Beverages Tobacco and tobacco manufactures Hides, skins and fur skins, raw Oil-seeds and oleaginous fruits Crude rubber (including synthetic and reclaimed) Cork and wood Pulp and waste paper Textile fibres (other than wool tops), wastes; not manufactured Crude fertilizers and minerals (excl. coal, petrol, precious stones) Metalliferous ores and metal scrap Crude animal and vegetable materials, nes Beer Petroleum, petroleum products and related materials Gas, natural and manufactured Electric current Animal oils and fats Fixed vegetable fats and oils, crude, refined or fractionated Anim. or veget. fats and oils, processed; animal or vegetable Organic chemicals waxes Inorganic chemicals Dyeing, tanning and colouring materials Medical and pharmaceutical products Essential oils, perfume materials; toilet cleaning preparations Fertilizers , manufactured (other than those of group 272) Plastics in primary forms Plastics in non-primary forms Chemical materials and products, nes Leather, leather manufactures, nes, and dressed fur skins Rubber manufactures, nes Cork and wood manufactures (excl. furniture) Paper, paperboard, and articles of paper pulp, paper or Textile yarn, fabrics, made-up articles, nes, and related products paperboard Non-metallic mineral manufactures, nes Iron and steel Non-ferrous metals Manufactures of metals, nes Power generating machinery and equipment Machinery specialized for particular industries Metal working machinery General industrial machinery and equipment, nes, machine parts, Office machines and automatic data-processing machines nes Telecommunications and sound recording/reproducing apparatus, Electrical machinery, apparatus and appliances, nes etc Road vehicles (including air-cushion vehicles) Other transport equipment Prefabricated buildings; sanitary, plumbing, etc, fixtures and Furniture and parts thereof; bedding, mattresses, mattress fittings Travel goods, supports, etc handbags and similar containers Articles of apparel and clothing accessories Footwear Professional, scientific and controlling instruments and apparatus, Photographic apparatus, equipment and supplies and optical nes Miscellaneous goods; watchesmanufactured articles, nes Gold, non-monetary (excl. gold ores and concentrates) Total 2012 15 37 1,407 1,786 78,698 5,238 80,586 1,428 15 9,969 23,807 1,230 563 22 2,958 4,080 58 101 2013 4 275 1,103 1,410 82,729 8,016 81,272 926 37 13,565 18,805 2,036 428 20 255 2,962 893 7 73 2014 4 224 637 1,564 76,906 7,994 43,832 960 121 6,970 13,947 2,028 860 10 60 10 2,559 1,115 3 35 2015 22 5 562 1,220 62,539 2,518 39,399 1,260 31 6,660 4,776 990 47 36 3,124 1,081 198 138,722 16 2 31 21,037 2,969 3,915 513 1,234 3,594 6,411 12 2,954 804 2,767 3 1,747 306 2,454 9,352 16,683 7,110 1,161 12,864 16,212 33,116 1,055 8,682 2,357 149,767 8,643 73,621 7,016 1,052 982 907 1,016 2,116 9,905 334 19,387 8,963 793,791 135,423 17 15 2 18,758 7,170 1,996 1,678 944 4,424 7,817 70 2,424 2,313 3,740 26 2,101 1,012 3,199 5,560 14,902 4,268 839 10,368 12,786 40,797 684 11,409 3,261 49,672 3,630 69,495 24,027 3,933 950 347 688 3,040 9,916 160 25,016 2,340 706,037 148,278 55 21,424 5,412 1,153 2,106 895 2,095 6,071 1 2,073 802 2,781 2,245 364 2,313 5,226 18,968 4,429 361 6,152 5,940 37,715 3,947 7,903 3,295 8,448 3,746 44,039 21,202 884 393 239 390 4,577 15,422 239 21,923 573,346 130,506 31 170 23,907 1,833 2,449 1,266 927 2,014 5,063 204 1,844 373 1,923 2,113 236 2,630 3,699 21,068 8,168 326 5,135 5,549 38,288 1,614 6,141 5,748 21,264 3,328 40,017 23,246 4,105 393 203 430 589 15,151 495 15,682 522,594 271 2016 10 945 1,291 74,740 9,372 42,836 1,230 4,313 3,646 3,369 217 6 2,647 691 104 28 31 118,934 1 27,719 1,781 725 1,244 440 2,182 4,002 57 895 1,705 878 3,314 154 2,723 5,741 5,324 3,876 137 6,823 6,280 20,337 303 10,387 16,772 4,559 6,212 42,015 34,728 6,352 274 204 524 651 2,676 145 3,992 38 490,580 272 Table 4.2 L: Re-exports by value (‘000 US $), 2012 – 2016 Commodities 2012 2013 2014 2015 2016 744 156 40 168 206 Traditional Coffee Cotton 1 6 16 13 2 94 250 252 662 309 1,132 2,036 2,028 990 3,369 136,656 131,817 144,629 125,291 113,865 80,578 81,240 43,825 39,379 42,819 3,147 25,418 33,567 28,405 46,921 Animal/Veg Fats & Oils 26,141 27,060 29,039 27,598 29,949 Rice 38,717 36,772 27,540 22,602 19,243 Plastic Products 11,967 15,128 18,359 15,154 3,116 2,210 6,044 5,213 276 2,605 Beer 16,684 9,701 4,712 545 982 Maize grain & maize flour 20,703 5,799 4,066 750 275 3,484 4,255 3,688 1,663 845 Tea Tobacco - Non - Traditional Petroleum Products Sugar & Sugar Confectionary Sorghum Beans and Other Legumes Mineral Water Iron and Steel 4,927 2,846 3,258 6,149 3,045 143,638 42,838 3,254 15,062 1,860 Cement 3,720 1,430 2,793 4,493 4,123 Vegetables 2,170 1,013 2,239 1,703 4,039 Soap 1,263 1,914 1,336 596 692 168 337 305 611 395 Telephones for Cellular Fish and Fish Products Fruits 45 193 239 471 516 Hoes and Hand Tools 599 386 211 373 233 Other Precious Metals 61 9 68 6 9 Soya beans 16 0 8 9 - Live Animals 15 4 4 22 - Bananas 1 1 0 2 0 Ground-nuts 2 3 0 30 - Electric Current 2 15 0 - - Flowers - - 0 - - 8,963 2,340 - - 38 529 527 - - - Cocoa Beans 13 12 - 39 - Vanilla 52 14 - - 45 - 0 - - - Gold and Gold Compounds Cobalt Hides and Skins Pepper - 2 - 4 3 285,348 306,468 242,657 229,527 211,075 1,972 2,449 2,336 1,832 3,886 Non-traditional 791,818 703,588 571,010 520,761 486,694 Total 793,791 706,037 573,346 522,594 490,580 Other Traditional Note : 2016 figures are provisional Source : UBOS, URA, UCDA, CAA and UETCL 273 Table 4.3 M: Re-exports by region and country of destination (‘000 US $), 2012 – 2016 Note Region/Country COMESA D.R. Congo Sudan Kenya Rwanda Burundi Other OTHER AFRICA South Sudan Tanzania Somalia South Africa Other ASIA Russ India ian Federation Hong Kong Singapore China Other EUROPEAN UNION United Kingdom Germany, Federal Re Netherlands France Italy Other Other Europe Turkey Switzerland Ukrainain Ssr Other MIDDLE EAST United Arab Emirate Kuwait Other NORTH AMERICA/CARIBBEAN United States Canada Other ROW UNKNOWN TOTAL : 2015 figures are provisional Source : 2012 416,683 128,812 176,502 40,072 37,708 12,079 21,509 48,511 9,376 16,785 11,964 5,029 5,358 7,082 1,792 1,117 956 964 234 2,019 15,635 4,583 1,261 2,843 3,030 216 3,702 1,357 34 793 460 70 165,478 164,851 138 488 2,639 1,694 713 232 218 136,187 793,791 2013 323,471 137,152 93,019 46,784 33,039 6,242 7,235 132,144 95,127 16,325 5,940 2,853 11,898 8,409 4,425 1,279 1,235 511 254 704 27,892 9,163 7,890 5,447 3,201 933 1,258 5,218 15 1,840 2,202 1,161 64,779 59,030 5,544 206 12,244 9,589 2,568 87 308 131,573 706,037 2014 196,745 77,682 18,166 58,515 31,142 8,899 2,341 172,594 141,908 13,419 2,405 3,184 11,680 3,800 1,787 182 594 27 363 848 28,012 11,522 2,936 2,915 7,619 1,450 1,570 3,359 759 547 2,053 9,337 6,705 2,632 14,169 12,590 1,559 20 1,151 144,179 573,346 2015 187,480 71,196 3,509 73,403 26,140 5,303 7,929 136,688 116,788 11,396 1,978 1,474 5,052 9,071 1,464 793 489 669 1,726 3,929 11,308 6,771 470 1,386 929 576 981 3,750 150 612 2,457 531 38,036 26,882 2,548 8,607 11,732 6,928 4,483 322 608 123,922 522,594 2016 138,455 88,938 1,416 21,211 20,883 4,356 1,651 174,155 145,065 9,203 2,483 13,033 4,371 11,565 7,342 290 325 2 425 3,180 5,438 701 1,236 891 779 421 1,411 14,818 11,694 451 2,253 420 22,079 20,901 2 1,176 10,268 6,759 3,438 70 767 113,035 490,580 UBOS, URA, UCDA, CAA and UETCL Table 4.3 N: 2013 - 2016 Informal Exports and Imports by Country and Trade Balances (000’ US$) Exports Country 2013 BURUNDI 2014 2015 Imports 2016 2013 2014 Trade balance 2015 2016 2013 2014 2015 2016 15,134 14,954 1,863 - - - - 15,134 14,954 1,863 - 135,007 139,458 181,355 221,274 17,729 21,306 18,271 20,265 117,278 118,152 163,083 201,009 KENYA 69,692 92,885 96,435 79,126 26,494 30,755 31,872 26,616 43,198 62,130 64,563 52,510 RWANDA 27,868 24,550 21,751 33,472 2,541 2,230 1,164 2,495 25,327 22,320 20,587 30,976 130,816 119,471 79,498 41,599 5,559 3,847 2,268 2,509 125,257 115,624 77,230 39,090 42,771 23,273 18,224 43,764 1,327 7,672 10,694 12,984 41,443 15,602 7,530 30,780 421,289 414,591 399,126 419,236 53,651 65,810 64,269 64,870 367,638 348,781 334,857 354,366 DR CONGO SOUTH SUDAN TANZANIA Total Note : 2016 figures are provisional Source : Uganda Bureau of Statistics 274 275 4.4 Government Finance Statistics Table 4.4 A: Summary of Central Government Budgetary and Financial Operations, (Billion shillings) 2011/12 2012/13 2013/14 2014/15 2015/16 Revenue 7,763.4 8,276.5 8,870.4 11,044.8 12,645.1 Taxes 6,528.3 7,149.5 8,031.0 9,892.5 11,180.6 - - - - - 702.5 930.8 1,146.4 Social contributions Grants Other revenue Expense 1,129.3 936.2 105.9 190.9 136.9 221.5 318.1 7,176.9 7,454.2 8,582.9 9,698.4 11,589.2 Compensation of employees 1,199.0 1,403.2 1,516.3 1,762.9 1,970.2 Purchase of goods and services 2,001.2 1,708.9 2,159.7 2,505.5 3,396.4 - - - - - 603.3 889.7 970.1 1,213.0 1,681.7 Consumption of fixed capital Interest Subsidies 186.8 29.0 35.7 68.0 55.7 2,783.0 2,879.3 3,257.4 3,666.6 4,107.1 1,588.9 1,763.0 1,971.0 2,146.3 2,339.2 35.3 29.0 43.1 40.4 74.2 Transfers to other agencies 786.2 633.5 728.0 876.9 940.2 Other transfers 372.6 453.7 515.3 603.0 731.3 Social benefits 201.1 260.3 228.7 244.2 157.7 Other expense 202.6 283.7 415.0 238.2 220.4 Gross operating balance 586.4 822.3 287.5 1,346.4 1,055.9 Net operating balance 586.4 822.3 287.5 1,346.4 1,055.9 1,846.9 2,595.1 3,059.9 3,220.3 3,507.6 Grants Local government Transfers to International organizations Transactions In Nonfinancial Assets: Net Acquisition of Nonfinancial Assets Fixed assets 1,797.8 2,511.5 2,790.5 2,936.7 3,079.9 Change in inventories - - - - - Valuables - - - - - 49.1 83.6 269.4 283.6 427.7 (1,260.4) (1,772.7) (2,772.4) (1,874.0) (2,451.7) 2,759.6 1,876.9 (4,433.9) (1,212.1) 1,530.2 2,759.6 1,876.9 (4,433.9) (1,212.1) 1,530.2 Foreign - - - - - Monetary gold and SDRs - - - - - 3,688.6 3,539.9 (1,936.3) 615.1 4,271.4 Domestic 2,534.7 2,122.0 (2,823.3) (303.9) 1,777.6 Foreign 1,153.9 1,417.9 886.9 919.0 2,493.8 Loan 1,356.4 1,627.8 1,128.4 1,177.1 2,813.5 Loan Repayment (202.5) (209.9) (241.5) (258.2) (319.5) (331.4) (109.8) (274.9) 68.5 289.6 Non-produced assets Net lending / borrowing Transactions In Financial Assets And Liabilities (Financing): Net acquisition of financial assets Domestic Net incurrence of liabilities Errors and Omissions Source: Ministry of Finance Planning and Economic Development 276 Table 4.4 B (a): Classification of Central government Revenue 2012/13 – 2016/17 (Million Shs.) Revenue Items 2012/13 2013/14 2014/15 2015/16' 2016/17* Total Revenue (Net) 8,276,519 8,870,413 11,044,791 12,645,121 13,177,147 Total Revenue (1+2) 8,471,837 9,106,744 11,221,397 12,848,079 13,364,647 1. 7,399,832 8,267,363 10,069,095 11,383,515 13,116,777 (a) Taxes on Income, Profits ,and Capital Gains Central Government Taxes 2,203,464 2,344,509 3,036,688 3,400,798 3,875,754 PAYE (Payable by individuals) 1,196,504 1,397,556 1,613,243 1,803,532 1,940,950 Corporations and Other Enterprises 597,635 486,636 714,772 733,565 1,021,293 Unallocable 409,325 460,317 589,050 742,256 913,511 Oil Revenue - - 119,623 121,445 - (b) Taxes on property - - 84,918 117,970 146,279 Immovable property - - 84,918 117,970 146,279 (c) Taxes on goods and services 3,938,725 4,442,865 5,326,031 6,964,856 7,981,597 (i) VAT 2,533,701 2,758,310 3,293,693 3,724,958 4,226,797 Imported goods 1,254,531 1,404,415 1,783,518 1,952,821 2,274,361 Local goods 989,627 250,964 333,491 846,124 746,092 Local services 289,543 1,102,931 1,176,684 926,013 1,206,343 (ii) Excise Taxes 1,405,024 1,684,555 2,032,338 3,239,898 3,754,800 Petroleum 794,836 984,245 1,197,749 1,382,952 1,475,074 Other imports 158,390 154,007 196,132 1,185,807 1,412,879 Local goods 451,798 546,303 638,457 671,140 866,847 (d) Taxes on permission to use goods to perform activities 83,638 107,004 107,807 91,595 113,812 Motor vehicle taxes 69,983 92,857 91,886 73,351 97,430 Other 13,655 14,147 15,921 18,245 16,382 (e) Other taxes on International trade 862,756 1,005,329 1,160,835 375,597 544,757 Custom duties (other imports) 862,755 1,002,203 1,147,650 359,719 518,724 Taxes on exports (f) Other Taxes Government Other 2. Central Government Non-Tax revenue 1 3,126 13,186 15,878 26,034 311,249 367,656 352,816 432,700 454,578 54,593 48,154 - - - 256,656 319,502 352,816 432,700 454,578 1,072,005 839,381 1,152,302 1,464,564 247,869 (a) Grants 936,181 702,488 930,809 1,146,444 - (b) Other Revenue 135,824 136,893 221,493 318,120 247,869 (i) Property Income 6,841 8,237 24,298 19,364 11,822 3 - - - - Interest Dividends 6,838 Rent (ii) Sale of goods and services Administrative fees Sales by nonmarket establishments (iii) Fines and Penalties (iv) Miscellaneous and unidentified revenue 15,613 8,450 - - 8,237 8,684 10,914 11,822 66,824 110,821 161,637 240,488 187,109 66,824 110,821 161,637 240,488 187,109 - - - - - 5,218 4,435 5,620 6,533 7,319 56,941 13,400 29,939 51,735 41,619 Source: UBOS, URA and MoFPED (i) ‘ Revised figures (ii) * Provisional figures (iii) Central government Tax is on gross and netted at the Total revenue (net). 277 Table 4.4 B (b): Classification of Central government Revenue by percentage share, 2012/13 – 2016/17 Revenue Items 2012/13 2013/14 2014/15 2015/16' 2016/17* Total Revenue (1+2) 100 100 100 100 100 1. Total Revenue (Net) 87.3 90.8 89.7 88.6 98.1 (a) Taxes on Income, Profits ,and Capital Gains Central Government Taxes 26.0 25.7 27.1 26.5 29.0 PAYE (Payable by individuals) 14.1 15.3 14.4 14.0 14.5 Corporations and Other Enterprises 7.1 5.3 6.4 5.7 7.6 Unallocable 4.8 5.1 5.2 5.8 6.8 Oil Revenue - - 1.1 0.9 - (b) Taxes on property - - 0.8 0.9 1.1 Immovable property - - 0.8 0.9 1.1 (c) Taxes on goods and services 46.5 48.8 47.5 54.2 59.7 (i) VAT 29.9 30.3 29.4 29.0 31.6 Imported goods 14.8 15.4 15.9 15.2 17.0 Local goods 11.7 2.8 3.0 6.6 5.6 3.4 12.1 10.5 7.2 9.0 Local services (ii) Excise Taxes 16.6 18.5 18.1 25.2 28.1 Petroleum 9.4 10.8 10.7 10.8 11.0 Other imports 1.9 1.7 1.7 9.2 10.6 Local goods 5.3 6.0 5.7 5.2 6.5 (d) Taxes on permission to use goods or perform activities 1.0 1.2 1.0 0.7 0.9 Motor vehicle taxes 0.8 1.0 0.8 0.6 0.7 Other 0.2 0.2 0.1 0.1 0.1 (e) Other taxes on International trade 10.2 11.0 10.3 2.9 4.1 Custom duties (other imports) 10.2 11.0 10.2 2.8 3.9 Taxes on exports 0.0 0.0 0.1 0.1 0.2 (f) Other Taxes 3.7 4.0 3.1 3.4 3.4 Government 0.6 0.5 - - - Other 3.0 3.5 3.1 3.4 3.4 2. Central Government Non-Tax revenue 12.7 9.2 10.3 11.4 1.9 (a) Grants 11.1 7.7 8.3 8.9 - (b) Other Revenue 1.6 1.5 2.0 2.5 1.9 (i) Property Income 0.1 0.1 0.2 0.2 0.1 Interest 0.0 - - - - Dividends 0.1 - 0.1 0.1 - - 0.1 0.1 0.1 0.1 (ii) Sale of goods and services 0.8 1.2 1.4 1.9 1.4 Administrative fees 0.8 1.2 1.4 1.9 1.4 Rent Sales by nonmarket establishments (iii) Fines and Penalties (iv) Miscellaneous and unidentified revenue - - - - - 0.1 0.0 0.1 0.1 0.1 0.7 0.1 0.3 0.4 0.3 Source: UBOS, URA and MoFPED 278 Table 4.4 C (a): Functional Classification of Central Government Recurrent Expenditure (Mill Shs.) Function 2012/13 2013/14 2014/15' 2015/16' 2016/17* 2,075,632 2,053,380 2,619,802 3,297,339 3,638,126 Defense 661,971 701,723 971,988 1,205,086 963,579 Public Order and Safety 496,535 574,743 648,376 843,587 868,274 Education 285,124 286,174 337,025 436,566 800,408 Health 337,347 352,674 370,457 433,619 474,517 77,936 335,317 326,183 116,044 147,230 6,452 2,950 2,236 4,216 6,738 General Public Administration Community and Social Services Water Other Community and Social Services Economic Services Agriculture Construction, Roads & Other Transport Other Economic Services TOTAL 71,484 332,367 323,947 111,828 140,492 383,984 551,720 653,065 652,364 1,018,721 62,519 87,639 93,927 122,023 178,916 275,394 394,148 465,128 416,747 524,974 46,071 69,933 94,010 113,594 314,831 4,318,529 4,855,731 5,926,897 6,984,606 7,910,856 Source: Uganda Bureau of Statistics Note: (i) Transfers from Treasury to decentralised districts and Urban Administration are excluded. (ii)I Revised data (iii) * Provisional figures Table 4.4 C (b): Functional Classification of Central Government Recurrent Expenditure percent share Function 2012/13 2013/14 2014/15' 2015/16' 2016/17* General Public Administration 48.1 42.3 44.2 47.2 46 Defense 15.3 14.5 16.4 17.3 12.2 Public Order and Safety 11.5 11.8 10.9 12.1 11 Education 6.6 5.9 5.7 6.3 10.1 Health 7.8 7.3 6.3 6.2 6 Community and Social Services 1.8 6.9 5.5 1.7 1.9 Water 0.1 0.1 0 0.1 0.1 Other Community and Social Services 1.7 6.8 5.5 1.6 1.8 Economic Services 8.9 11.3 11 9.3 12.9 Agriculture 1.4 1.8 1.6 1.7 2.3 Construction, Roads & Other Transport 6.4 8.1 7.8 6 6.6 Other Economic Services 1.1 1.4 1.6 1.6 4 100 100 100 100 100 TOTAL Source: Uganda Bureau of Statistics Note : (i) I Revised figures (ii) * Provisional figures 279 Table 4.4 D (a): Functional Classification of Central Government Development (GOU) Expenditure (Mill Shs) Function 2012/13 2013/14 2014/15 2015/16' 2016/17* General Public Administration 261,454 464,996 531,883 441,488 439,798 Defense 107,407 81,402 104,607 140,039 140,039 Public Order and Safety 123,134 120,356 136,752 256,567 192,153 60,879 78,033 83,146 126,615 164,975 Education Health Community and Social Services Water Other Community and Social Services Economic Services Agriculture Construction, Roads & Other Transport Other Economic Services TOTAL 41,986 42,276 48,164 62,335 134,123 202,449 240,364 303,694 321,927 340,604 93,604 71,089 91,362 118,525 164,185 108,845 169,275 212,332 203,402 176,419 1,138,493 1,703,208 2,297,181 2,100,547 2,661,370 90,702 118,040 235,898 235,573 402,418 861,020 1,315,897 1,322,978 1,368,275 1,589,418 186,771 269,271 738,305 496,699 669,534 1,935,802 2,730,634 3,505,425 3,449,519 4,073,063 Source: Uganda Bureau of Statistics Note: (i) Transfers from Treasury to decentralized districts and Urban Administration excluded. (ii) I Revised figures (iii) * Provisional figures Table 4.4 D (b): Functional Classification of Central Government Development Expenditure by percent share Function General Public Administration 2012/13 2013/14 2014/15 2015/16' 2016/17* 13.5 17 15.2 12.8 10.8 Defense 5.5 3 3 4.1 3.4 Public Order and Safety 6.4 4.4 3.9 7.4 4.7 Education 3.1 2.9 2.4 3.7 4.1 Health 2.2 1.5 1.4 1.8 3.3 10.4 8.8 8.7 9.3 8.3 4.8 2.6 2.6 3.4 4 5.6 6.2 6.1 5.9 4.3 58.8 62.4 65.5 60.9 65.3 4.7 4.3 6.7 6.8 9.9 44.5 48.2 37.7 39.7 39 9.6 9.9 21.1 14.4 16.4 100 100 100 100 100 Community and Social Services Water Other Community and Social Services Economic Services Agriculture Construction, Roads & Other Transport Other Economic Services TOTAL Source: Uganda Bureau of Statistics 280 Table 4.4 E (a): Economic Classification of Central Government Recurrent Expenditure, (Mill Shs) Expenditure category Wage and Salaries Allowances Travel Abroad Travel Inland Other Goods and Services Domestic Arrears Employer Contributions Social Security Schemes Pension and Gratuity Interest Domestic Abroad Subsidies Transfers Domestic Other government Units Local Organizations Households Abroad Other Transfers Nec Total Source: Uganda Bureau of Statistics 2012/13 2013/14 2014/15’ 2015/16' 2016/17* 1,084,010 311,287 49,086 88,323 1,056,745 41,133 1,085,842 266,325 99,373 58,906 1,319,843 0 1,383,736 333,546 107,351 58,907 1,563,217 0 1,538,585 489,847 162,446 67,993 1,990,436 0 1,891,049 499,303 94,960 164,853 1,902,809 0 44,385 278,081 51,325 304,898 60,514 304,070 75,006 267,163 118,425 300,918 722,471 86,423 29,021 812,865 94,449 35,730 1,132,868 109,546 68,000 1,351,505 185,183 55,709 1,592,684 334,000 - 314,003 770 3,986 28,411 180,395 4,318,529 491,463 653 5,857 41,603 186,598 4,855,731 612,544 804 4,865 38,550 148,379 5,926,897 580,791 840 5,571 53,161 160,369 6,984,606 755,076 840 7,416 46,799 201,722 7,910,856 Note: (i) Figures from 2011/12 to 2014/15 are actual and include statutory expenditure. (ii) Salaries and wages include Autonomous Wage Subvention (iii) Transfers from Central Government to decentralized districts and Urban Administration are not included. (iv) Transfers to Households is money given directly for personal use or assistance for medical, funerals etc (v) Figures from 2010/11 to 2013/14 represent interest accrued for that period. (vi) I Revised figures ( (vii) Provisional figures Table 4.4 E (b): Economic Classification of Central Government Recurrent Expenditure, by percent share Expenditure category Wage and Salaries Allowances Travel Abroad Travel Inland Other Goods and Services Domestic Arrears Employer Contributions Social Security Schemes Pension and Gratuity Interest Domestic Abroad Subsidies Transfers Domestic Other government Units Local Organisations Households Abroad Other Transfers Nec Total Source: Uganda Bureau of Statistics 2012/13 2013/14 2014/15’ 2015/16' 2016/17* 25.1 7.2 1.1 2.0 24.5 1.0 22.4 5.5 2.0 1.2 27.2 - 23.3 5.6 1.8 1.0 26.4 - 22.0 7.0 2.3 1.0 28.5 - 23.9 6.3 1.2 2.1 24.1 - 1.0 6.4 1.1 6.3 1.0 5.1 1.1 3.8 1.5 3.8 16.7 2.0 0.7 16.7 1.9 0.7 19.1 1.8 1.1 19.3 2.7 0.8 20.1 4.2 - 7.3 0.0 0.1 0.7 4.2 100 10.1 0.0 0.1 0.9 3.8 100 10.3 0.0 0.1 0.7 2.5 100 8.3 0.0 0.1 0.8 2.3 100 9.5 0.0 0.1 0.6 2.5 100 281 Table 4.4 F (a): Economic Classification of Central Government Development Expenditure, (Mill Shs) Expenditure category Payments to Personnel Consultants Wages and Salaries Employer Contributions Social Security Schemes Pension and Gratuity Fixed Assets Construction & Buildings Roads & Bridges Transport Equipment Machinery & Equipment Purchase of Land/Land Improvements Other fixed assets Arrears and Taxes Arrears Taxes Transfers Other Goods & Services Total Source: Uganda Bureau of Statistics Note: (i) I 2012/13 2013/14 2014/15’ 2015/16' 2016/17* 39,280 43,268 53,099 112,691 68,923 116,391 71,588 79,182 70,489 126,175 1,503 1,354 1,808 2,723 4,732 6,344 2,800 1,385 7,349 8,529 179,593 690,978 36,424 199,149 83,909 265,741 205,140 922,352 71,184 189,933 282,276 149,712 208,726 1,016,005 92,942 212,328 284,418 640,440 259,567 939,332 143,508 296,094 433,259 182,024 389,080 926,142 171,838 312,460 449,520 278,886 12,802 115,506 112,563 153,731 1,935,802 81,610 188,271 469,835 2,730,634 37,134 236,738 580,696 3,505,425 110,362 317,947 612,472 3,449,519 524,227 808,367 4,073,063 Revised figures (ii) * Provisional figure Table 4.4 F (b): Economic Classification of Central Government Development (GOU) Expenditure by percent share Payments to Personnel Consultants Wages and Salaries Employer Contributions Social Security Schemes Pension and Gratuity Fixed Assets Construction & Buildings Roads & Bridges Transport Equipment Machinery & Equipment Purchase of Land/Land Improvements Other fixed assets Arrears and Taxes Arrears Taxes Transfers Other Goods & Services Total Source: Uganda Bureau of Statistics Note: (i) I 2012/13 2013/14 2014/15’ 2015/16' 2016/17* 2.0 2.2 0.0 0.1 0.1 0.0 9.3 35.7 1.9 10.3 4.3 13.7 0.0 0.7 6.0 5.8 7.9 100 1.9 4.1 0.0 0.1 0.1 0.0 7.5 33.8 2.6 7.0 10.3 5.5 0.0 3.0 6.9 17.2 100 2.0 3.3 0.0 0.1 0.2 0.0 6.0 29.0 2.7 6.1 8.1 18.3 0.0 1.1 6.8 16.6 100 2.1 2.3 0.0 0.1 0.0 0.0 7.5 27.2 4.2 8.6 12.6 5.3 0.0 3.2 9.2 17.8 100 1.7 3.1 0.0 0.2 0.2 0.0 9.6 22.7 4.2 7.7 11.0 6.8 0.0 12.9 19.8 100 Revised figures (ii) * Provisional figure 282 Table 4.4 G (a): Functional Classification Donor Funded Central Government Development Expenditure, (Mill Shs) Function 2012/13 2013/14 2014/15 2015/16' 2016/17* General Public Services Executive; Legislative; and other General Services 97,411 60,531 45,040 19,707 64,638 10,551 76,830 1,341 102,593 - Financial &Fiscal Affairs, General Economic, Social & Statistical Services 36,663 25,100 54,087 75,489 102,593 External Affairs Defense 217 223,286 234 228,349 211,619 270,883 475,222 Defense Affairs and Services 223,286 228,349 211,619 270,883 475,222 Public order and safety 18,359 156 12,417 124 - Law Courts and Legal Services 18,359 156 12,417 124 - - - - - - 137,025 182,111 127,294 165,284 396,921 Prisons, Police and Corrective Services Education Pre-primary and Primary Education - - - - - 131,373 156,439 48,238 29,183 2,720 Business, Technical, and Vocation Education 3,233 22,068 67,191 47,406 290,024 National Health Service training colleges 1,806 - - - - 522 3604 543 30,001 93,491 Education NEC Health 91 418,764 0 130,351 11,322 174,279 58,695 241,471 10,685 901,234 Hospital Affairs & Services 417,073 32,590 79,202 187,091 676,714 Health Affairs and Services Economic Affairs 1,691 1,026,134 97,761 670,229 95,077 810,353 54,379 1,849,853 224,520 3,714,945 Secondary Education University Education Petroleum Other Fuel And Energy Affairs Mining and Mineral Resources Agriculture Support services Agricultural Research Services 0 14,596 3,949 6,778 119,340 154,661 146,070 216,919 1,202,486 1,803,604 5,991 - - - - 87,352 13,568 18,890 28,176 190,806 86,017 0 62,220 28,050 40,131 Agriculture NEC 163,199 - - - - Road Maintenance and Construction 517,476 351,228 512,970 336,554 1,291,646 Other Transport - - - 186,264 112,230 Other Economic Affairs NEC 97,455 82,547 29,575 49,463 111,302 Environmental protection 41,091 43,765 66,695 81,168 54,965 41,091 130,183 43,765 432,771 66,695 453,236 81,168 594,413 54,965 767,536 Welfare Services 26,106 105,506 55,958 38,025 99,180 Community Development 67,727 168,137 210,733 272,705 421,269 Protection of the environment Community amenities Water Supply Total 36,350 159,127 186,545 283,684 247,087 2,092,252 1,732,771 1,920,533 3,280,026 6,413,415 Source: Uganda Bureau of Statistics Note: (i) I Revised figures (ii) * Provisional figure 283 Table 4.3 G (b): Functional Classification Donor Funded Development Expenditure by percent share Function General Public Services Executive; Legislative; and other General Services Financial & Fiscal Affairs, General Economic, Social & Statistical Services External Affairs Defense Defense Affairs and Services Public order and safety Law Courts and Legal Services Prisons, Police and Corrective Services Education Pre-primary and Primary Education Secondary Education Business, Technical, and Vocation Education National Health Service training colleges University Education Education NEC Health Hospital Affairs & Services Health Affairs and Services Economic Affairs Petroleum Other Fuel And Energy Affairs Mining and Mineral Resources Agriculture Support services Agricultural Research Services Agriculture NEC Road Maintenance and Construction Other Transport Other Economic Affairs NEC Environmental protection Protection of the environment Community amenities Welfare Services Community Development Water Supply Total Source: 2012/13 2013/14 2014/15 2015/16' 2016/17* 4.7 2.9 1.8 0.0 10.7 10.7 0.9 0.9 6.5 6.3 0.2 0.1 0.0 0.0 20.0 19.9 0.1 49.0 7.4 0.3 4.2 7.8 24.7 4.7 2.0 2.0 6.2 1.2 3.2 1.7 100 2.6 1.1 1.4 0.0 13.2 13.2 0.0 0.0 10.5 9.0 1.3 0.2 7.5 1.9 5.6 38.7 0.8 8.4 0.8 3.6 20.3 4.8 2.5 2.5 25.0 6.1 9.7 9.2 100 3.4 0.5 2.8 11.0 11.0 0.6 0.6 6.6 2.5 3.5 0.0 0.6 9.1 4.1 5.0 42.2 0.2 11.3 1.0 1.5 26.7 1.5 3.5 3.5 23.6 2.9 11.0 9.7 100 2.3 0.0 2.3 8.3 8.3 0.0 0.0 5.0 0.9 1.4 0.9 1.8 7.4 5.7 1.7 56.4 0.2 36.7 0.9 1.2 10.3 5.7 1.5 2.5 2.5 18.1 1.2 8.3 8.6 100 1.6 1.6 7.4 7.4 6.2 0.0 4.5 1.5 0.2 14.1 10.6 3.5 57.9 1.9 28.1 3.0 1.3 20.1 1.7 1.7 0.9 0.9 12.0 1.5 6.6 3.9 100 Uganda Bureau of Statistics 284 Table 4.4 H (a): Classification of Local Government Revenue by Type for 2011/12– 2015/16, (Mill Shs) Revenue Items Total Revenue (1+2) 1. Taxes (a) Taxes on Income, Profits ,and Capital Local Service Tax (Payable by individuals) (b) Taxes on property Immovable property(Land Fees) (c) Taxes on goods and services (d) Taxes on permission to use goods or perform activities (e) Other Taxes 2. Central Government Non-Tax revenue (a) Grants Central Government Graduated Tax (Compensation) Donors (b) Other Revenue (i) Property Income Rent Other property incomes (ii) Sale of goods and services Administrative fees Sales by nonmarket establishments (iii) Fines and Penalties (iv) Miscellaneous and unidentified revenue Source: Note: 2012/13 2013/14 2014/15 2015/161 2016/17 1,977,766 25,075 8,441 8,441 6,413 6,413 1,574 8,237 410 1,952,692 1,898,096 1,764,285 322 133,489 54,596 3,963 2,558 1,405 45,265 41,809 3,456 9 5,358 2,562,809 26,967 8,329 8,329 7,295 7,295 1,590 2,629 7,124 2,535,842 2,473,575 2,359,236 194 114,145 62,267 7,418 3,964 3,453 49,482 42,125 7,357 7 5,361 2,580,137 32,720 11,795 11,766 7,509 7,509 1,762 11,654 0 2,547,418 2,480,466 2,376,731 197 103,539 66,952 10,161 9,360 801 47,382 43,687 3,696 177 9,232 2,624,772 34,895 12,418 12,418 8,722 8,720 1,396 12,360 0 2,589,877 2,528,445 2,416,524 0 111,921 61,432 7,800 6,307 1,493 48,936 45,527 3,409 157 4,539 2,929,357 34,831 13,017 12,988 8,392 8,392 1,941 8,778 3,010 2,894,527 2,819,953 2,712,206 168 107,567 74,576 12,465 10,752 1,714 52,571 47,460 5,112 159 9,379 Uganda Bureau of Statistics (i) I Revised figure (ii) * Provisional figures (iii) Local government revenue is a summation of Districts revenue and Municipalities revenue. Table 4.4 H (b): Classification of Local Government Revenue by percent share for FY 2012/13 – 2016/17 Revenue Items Total Revenue (1+2) 1. Taxes (a) Taxes on Income, Profits ,and Capital Gains Local Service Tax (Payable by individuals) (b) Taxes on property Immovable property(Land Fees) (c) Taxes on goods and services (d) Taxes on permission to use goods or perform (e) Other Taxes activities 2. Central Government Non-Tax revenue (a) Grants Central Government Graduated Tax (Compensation) Donors (b) Other Revenue (i) Property Income Rent Other property incomes (ii) Sale of goods and services Administrative fees Sales by nonmarket establishments (iii) Fines and Penalties (iv) Miscellaneous and unidentified revenue Source: 2012/13 2013/14 2014/15 2015/16 2016/17 100 1.3 0.4 0.4 0.3 0.3 0.1 0.4 0.0 98.7 96.0 89.2 0.0 6.7 2.8 0.2 0.1 0.1 2.3 2.1 0.2 0.0 0.3 100 1.1 0.3 0.3 0.3 0.3 0.1 0.1 0.3 98.9 96.5 92.1 0.0 4.5 2.4 0.3 0.2 0.1 1.9 1.6 0.3 0.0 0.2 100 1.3 0.5 0.5 0.3 0.3 0.1 0.5 98.7 96.1 92.1 0.0 4.0 2.6 0.4 0.4 0.0 1.8 1.7 0.1 0.0 0.4 100 1.3 0.5 0.5 0.3 0.3 0.1 0.5 98.7 96.3 92.1 4.3 2.3 0.3 0.2 0.1 1.9 1.7 0.1 0.0 0.2 100 1.2 0.4 0.4 0.3 0.3 0.1 0.3 0.1 98.8 96.3 92.6 0.0 3.7 2.5 0.4 0.4 0.1 1.8 1.6 0.2 0.0 0.3 Uganda Bureau of Statistics 285 Table 4.4 I (a): Functional Classification of Local Government Expenditure 2012/13 – 2016/17 (Mill Shs) 2012/131 2013/141 2014/15' 2015/161 2016/17* 360,495 392,091 523,328 546,631 605,368 995 789 1,147 818 1,124 Education 914,030 991,996 1,134,645 1,272,686 1,393,626 Health Function General Public Administration Public Order and safety Affairs 267,401 301,613 349,964 385,812 397,917 Community and Social services 82,850 104,900 149,364 144,011 146,951 Water 38,247 52,648 58,733 70,373 72,131 Other Community &Social Services 44,602 52,252 90,631 73,638 74,820 Other economic Affairs 266,558 281,274 221,562 205,185 219,126 Agriculture 143,862 165,278 51,745 43,754 45,015 Construction, Roads& Other Transport 119,301 110,937 165,770 157,403 169,880 3,394 5,060 4,048 4,028 4,231 1,892,328 2,072,663 2,380,010 2,555,143 2,764,112 Other Economic affairs and services Totals Source: Note: Uganda Bureau of Statistics (i) Local government expenditure is a summation of Districts and Municipalities’ expenditures. (ii) I Revised figure Table 4.4 I (b): Functional Classification of Local Government Expenditure by percent share Function 2012/13 2013/14 2014/15' 2015/16 2016/17 General Public Administration 19.1 18.9 22.0 21.4 21.9 Public Order and safety Affairs 0.1 0.0 0.0 0.0 0.0 Education 48.3 47.9 47.7 49.8 50.4 Health 14.1 14.6 14.7 15.1 14.4 Community and Social services 4.4 5.1 6.3 5.6 5.3 Water 2.0 2.5 2.5 2.8 2.6 Other Community &Social Services 2.4 2.5 3.8 2.9 2.7 14.1 13.6 9.3 8.0 7.9 Agriculture 7.6 8.0 2.2 1.7 1.6 Construction, Roads& Other Transport 6.3 5.4 7.0 6.2 6.1 Other Economic affairs and services 0.2 0.2 0.2 0.2 0.2 Totals 100 100 100 100 100 Other economic Affairs Source: Note: Uganda Bureau of Statistics (i) I revised figure (ii) * Provisional figures 286 Table 4.4 J (a): Economic Classification of Local Government Expense, (Mill Shs) Expenditure category Government Consumption Wages & Salaries Allowances Travel Abroad Travel Inland Other Goods & Services Domestic Arrears Depreciation Employer Contributions Social Security Schemes Pension & Gratuity Interest Domestic Abroad Subsidies Transfers Domestic Other Government Units Local organisations Households Abroad Other Transfers Nec Totals Source: 2012/13' 2013/14' 2014/15' 2015/16' 2016/17* 964,375 66,416 678 39,080 196,278 0 5,672 1,108,204 60,004 774 57,911 179,112 0 3,268 1,298,703 71,942 1,366 94,725 204,129 0 14,326 1,393,204 69,308 1,454 90,959 177,671 0 32,123 1,586,149 68,493 1,821 83,208 170,169 0 49,965 600 4,595 480 4,710 631 6,097 288 111,716 445 126,384 2,739 10,344 2 204 0 0 840 0 40 294 0 33 344 0 28 411,755 0 879 599 51,786 1,755,799 458,191 0 2,504 35 36,677 1,912,073 402,487 509 2,158 5 93,713 2,191,671 428,048 208 2,749 0 52,936 2,360,989 414,827 181 2,983 0 46,970 2,551,967 Uganda Bureau of Statistics Note: (i) ‘ Revised figures (ii) * Provisional figures (ii) Local government expense are a summation of Districts expense and Municipalities expense. Table 4.4 J (b): Economic Classification of Local Government Expense by percentage share, 2012/13 -2016/17. Economic Government Consumption Wages & Salaries Allowances Travel Abroad Travel Inland Other Goods & Services Domestic Arrears Depreciation Employer Contributions Social Security Schemes Pension & Gratuity Interest Domestic Abroad Subsidies Transfers Domestic Other Government Units Local organisations Households Abroad Other Transfers Nec Totals Source: Uganda Bureau of Statistics 2012/13 2013/14 2014/15' 2015/16 2016/17 54.9 3.8 0.0 2.2 11.2 0.0 0.3 58.0 3.1 0.0 3.0 9.4 0.0 0.2 59.3 3.3 0.1 4.3 9.3 0.0 0.7 59.0 2.9 0.1 3.9 7.5 0.0 1.4 62.2 2.7 0.1 3.3 6.7 0.0 2.0 0.0 0.3 0.0 0.2 0.0 0.3 0.0 4.7 0.0 5.0 0.2 0.6 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 23.5 0.0 0.1 0.0 2.9 100 24.0 0.0 0.1 0.0 1.9 100 18.4 0.0 0.1 0.0 4.3 100 18.1 0.0 0.1 0.0 2.2 100 16.3 0.0 0.1 0.0 1.8 100 287 Table 4.3 K (a): Classification of Transactions in Non-Financial Assets-Local government, FY 2011/12 – 2015/16 (Shs Million). Acquisition of Non-Financial Asset Building and Structure Dwelling Nonresident building Other Structures Machinery and Equipment Transport and Equipment Other machinery and equipment Other fixed assets Other Inventory Materials and supplies Work in progress Finished goods Goods for resale Valuables Non Produced assets Land Subsoil Other naturally occurring assets Intangible nonproduced assets Source: Uganda Bureau of Statistics 2012/13 2013/14 2014/15 2015/16 2016/17* 136,527 111,056 13,999 53,748 43,308 5,400 2,951 2,449 19,617 71 71 383 383 - 160,589 144,790 14,669 66,633 63,489 13,007 4,600 8,407 2,046 3 3 742 742 - 188,340 140,950 19,195 74,018 47,736 12,471 4,035 8,434 33,213 16 16 1,691 1,691 - 194,154 158,780 13,832 74,793 70,155 14,790 7,599 7,192 20,553 31 31 - 212,145 173,632 15,059 82,192 76,380 16,103 8,273 7,830 22,376 34 34 0 Note: (i) * Provisional figures (ii) Local government net acquisitions of Non-Financial asset are a summation of Districts net acquisition of Non-Financial asset s and Municipalities net acquisitions of Non-Financial asset. Table 4.3 K (a): Classification of Transactions in Non-Financial Assets for Local government, FY 2012/13 – 2016/17, Percentages. 2012/13 2013/14 2014/15 2015/16 2016/17 Acquisition of Non-Financial Asset 100 100 100 100 100 Building and Structure 81.3 90.2 74.8 81.8 81.8 Dwelling 10.3 9.1 10.2 7.1 7.1 Nonresident building 39.4 41.5 39.3 38.5 38.7 Other Structures 31.7 39.5 25.3 36.1 36.0 - - - - - Machinery and Equipment 4.0 8.1 6.6 7.6 7.6 Transport and Equipment 2.2 2.9 2.1 3.9 3.9 1.8 5.2 4.5 3.7 3.7 14.4 1.3 17.6 10.6 10.5 Other Inventory 0.1 0.0 0.0 - - Materials and supplies Other machinery and equipment Other fixed assets 0.1 0.0 0.0 - - Work in progress - - - - - Finished goods - - - - - Goods for resale - - - - - Valuables - - - - - Non Produced assets 0.3 0.5 0.9 0.0 0.0 Land 0.3 0.5 0.9 0.0 0.0 Subsoil - - - - - Other naturally occurring assets - - - - - Intangible nonproduced assets 0 0 0 0 0 Source: Uganda Bureau of Statistics 288 Table 4.3 L (a): Classification of Districts’ Revenue by Type for FY 2012/13 – 2016/17 (Shs. Millions) Revenue Items Total Revenue (1+2) 1. Taxes (a) Taxes on Income, Profits ,and Capital Gains Local Service Tax (Payable by individuals) (b) Taxes on property Immovable property(Land Fees) (c) Taxes on goods and services (d) Taxes on permission to use goods or perform activities (e) Other Taxes 2. Central Government Non-Tax revenue (a) Grants Central Government Graduated Tax (Compensation) Donors (b) Other Revenue (i) Property Income Rent Other property incomes (ii) Sale of goods and services Administrative fees Sales by nonmarket establishments (iii) Fines and Penalties (iv) Miscellaneous and unidentified revenue Source: Uganda Bureau of Statistics 2012/13 2013/14 2014/15 2015/16i 2016/17* 1,807,399 9,853 5,024 5,024 2,015 2,015 419 2,243 152 1,797,545 1,775,800 1,643,657 132,143 21,745 1,877 970 907 16,439 15,191 1,248 0 3,428 2,319,894 11,196 5,415 5,415 2,869 2,869 246 2,629 37 2,308,699 2,284,037 2,176,308 107,729 24,662 3,244 831 2,413 18,093 14,416 3,677 1 3,324 2,295,088 14,408 8,156 8,156 3,035 3,035 192 3,025 0 2,280,680 2,256,225 2,164,311 168 91,747 24,455 4,613 3,812 801 16,124 14,757 1,368 3 3,714 2,297,522 14,753 8,973 8,973 2,711 2,709 109 2,962 0 2,282,769 2,261,343 2,182,328 0 79,015 21,426 3,759 2,929 830 14,755 13,451 1,304 62 2,850 2,602,756 15,359 8,931 8,931 3,386 3,386 199.5 3,149 0 2,587,398 2,559,068 2,465,907 103 93,046 28,331 5,700 3986.5 1713.5 18,932 16,924 2,009 3.5 3,694 Note: These figures include revenue all the 111 district local governments and excludes KCCA which is now part of Central government Note: (i) I Revised figures (ii) * Provisional figure Table 4.3 L (b): Classification of Districts’ Revenue by Percentage share for FY 2012/13 – 2016/17 Revenue Items Total Revenue (1+2) 1. Taxes (a) Taxes on Income, Profits ,and Capital Gains Local Service Tax (Payable by individuals) (b) Taxes on property Immovable property(Land Fees) (c) Taxes on goods and services (d) Taxes on permission to use goods or perform activities (e) Other Taxes 2. Central Government Non-Tax revenue (a) Grants Central Government Graduated Tax (Compensation) Donors (b) Other Revenue (i) Property Income Rent Other property incomes (ii) Sale of goods and services Administrative fees Sales by nonmarket establishments (iii) Fines and Penalties (iv) Miscellaneous and unidentified revenue Source: 2012/13 2013/14 2014/15 2015/16 2016/17* 100 0.5 0.3 0.3 0.1 0.1 0.0 0.1 0.0 99.5 98.3 90.9 0.0 7.3 1.2 0.1 0.1 0.1 0.9 0.8 0.1 0.0 0.2 100 0.5 0.2 0.2 0.1 0.1 0.0 0.1 0.0 99.5 98.5 93.8 0.0 4.6 1.1 0.1 0.0 0.1 0.8 0.6 0.2 0.0 0.1 100 0.6 0.4 0.4 0.1 0.1 0.0 0.1 0.0 99.4 98.3 94.3 0.0 4.0 1.1 0.2 0.2 0.0 0.7 0.6 0.1 0.0 0.2 100 0.6 0.4 0.4 0.1 0.1 0.0 0.1 0.0 99.4 98.4 95.0 0.0 3.4 0.9 0.2 0.1 0.0 0.6 0.6 0.1 0.0 0.1 100 0.6 0.3 0.3 0.1 0.1 0.0 0.1 0.0 99.4 98.3 94.7 0.0 3.6 1.1 0.2 0.2 0.1 0.7 0.7 0.1 0.0 0.1 Uganda Bureau of Statistics 289 Table 4.3 M (a): Functional Classification of Districts Expenditure2012/13 -2016/17 (Shs. Million) Function 2011/12 2012/13 2013/14 2014/15 2015/16 2016/17* General Public Administration Public Order and safety Affairs 284,231 108 307,479 122 336,093 111 440,540 246 445,529 241 447,064 212 Education 689,753 843,640 918,850 1,045,018 1,187,642 1,254,359 Health 232,686 251,375 284,945 331,860 368,126 369,229 77,740 79,138 99,296 139,394 136,564 135,241 Water 43,485 37,867 51,768 57,925 69,797 71,233 Other Community &Social Services 34,255 41,271 47,528 81,470 66,767 64,008 240,498 243,915 261,852 180,090 171,719 166,847 Community and Social services Other Economic Affairs Agriculture 204,926 138,437 159,916 50,612 42,734 43,387 Other 33,635 102,201 97,045 125,712 125,786 120,523 Other Economic affairs and services Transport Total 1,938 1,525,017 3,277 1,725,669 4,891 1,901,147 3,766 2,137,149 3,200 2,309,821 2,937 2,372,952 Construction, Source: Roads& Uganda Bureau of Statistics Note: (i) The figures include recurrent expenditure for 111 districts and exclude Kampala. (ii) I Revised figures (iii) * Provisional figures (iv) Total for Function=Economic classification of Expense+ Acquisition of Non-Financial Assets Table 4.3 M (b): Functional Classification of Districts Expenditure by percentage share, 2012/13 – 16/17. Function 2012/13 2013/14 2014/15 2015/16 2016/17 General Public Administration Public Order and safety Affairs 17.8 0.0 17.7 0.0 20.6 0.0 19.3 0.0 18.8 0.0 Education 48.9 48.3 48.9 51.4 52.9 Health 14.6 15.0 15.5 15.9 15.6 4.6 5.2 6.5 5.9 5.7 Water 2.2 2.7 2.7 3.0 3.0 Other Community &Social Services 2.4 2.5 3.8 2.9 2.7 14.1 13.8 8.4 7.4 7.0 8.0 8.4 2.4 1.9 1.8 Other 5.9 5.1 5.9 5.4 5.1 Other Economic affairs and services Transport Total 0.2 0.3 0.2 0.1 0.1 100 100 100 100 100 Community and Social services Other Economic Affairs Agriculture Construction, Source: Roads& Uganda Bureau of Statistics 290 Table 4.3 N (a): Economic Classification of District Expense, FY 2012/13 – 2016/17 (Shs. Million). Economic classification Government Consumption Wages & Salaries Allowances Travel Abroad Travel Inland Other Goods & Services Employer Contributions Social Security Schemes Pension & Gratuity Interest Domestic Abroad Subsidies Transfers Domestic Other Government Units Local Organisations Households Abroad Other Transfers Nec Totals Source: Note: 2012/13 2013/14 2014/15 2015/161 2016/17 * 896,318 55,419 198 35,908 162,586 1,024,256 48,088 345 53,594 153,648 1,198,472 58,832 593 89,216 171,523 1,301,882 57,327 640.79657 84,900 146,184 1,434,525 49,858 556.76429 73,784 121,192 433 4,287 415 4,202 448 5,406 5.1 104,732 5.6 115,520 2,608 10,115 2 192 - 840 40 164 0 32.801118 142 0 28.499671 383,000 575 599 43,908 1,595,957 426,295 2,048 35 31,448 1,744,566 342,205 509 1,492 87,934 1,957,510 365,546 208 2,532 51,514 2,115,667 317,609 180.56692 2,645 44,759 2,160,807 Uganda Bureau of Statistics (i) * Provisional figures (ii) 1Revised figures Table 4.3 N (b): Economic Classification of District Expense by Percentage Share, FY 2012/13 – 2016/17 Economic classification Government Consumption Wages & Salaries Allowances Travel Abroad Travel Inland Other Goods & Services Employer Contributions Social Security Schemes Pension & Gratuity Interest Domestic Abroad Subsidies Transfers Domestic Other Government Units Local Organisations Households Abroad Other Transfers Nec Totals Source: Uganda Bureau of Statistics 2012/13 2013/14 2014/15 2015/16 2016/17* 56.2 3.5 0 2.2 10.2 58.7 2.8 0 3.1 8.8 61.2 3.0 0.0 4.6 8.8 61.5 2.7 0.0 4.0 6.9 66.4 2.3 0.0 3.4 5.6 0 0.3 0 0.2 0.0 0.3 0.0 5.0 0.0 5.3 0.2 0.6 0 - 0.0 0.0 0.0 0.0 0.0 0.0 24 0 0 2.8 100 24.4 0.1 0 1.8 100 17.5 0.0 0.1 4.5 100 17.3 0.0 0.1 2.4 100 14.7 0.0 0.1 2.1 100 Note:(i) * Provisional figures 291 Table 4.3 O (a): Classification of Transactions in Non-Financial Assets for Districts, FY 2012/13 – 2016/17 (Shs. Million). 2012/13 Acquisition of Non-Financial Asset Buildings and Structures Dwelling Nonresident building Other Structures Machinery and Equipment Transport and Equipment Other machinery and equipment Other fixed assets Other Inventory Materials and supplies Work in progress Finished goods Goods for resale Valuables Non Produced assets Land Source: Uganda Bureau of Statistics 2013/14 129,711 102,242 13,907 50,207 38,128 6,964 3,196 3,768 20,134 71 71 300 300 2014/15 156,581 141,582 14,288 65,136 62,159 12,478 4,547 7,931 2,046 475 475 2016/17* 2015/16 179,639 134,371 18,915 73,169 42,286 11,398 4,756 6,641 33,213 15 15 643 643 194,154 158,780 13,832 74,793 70,155 14,790 7,599 7,192 20,553 31 31 212,145 173,632 15,059 82,192 76,380 16,103 8,273 7,830 22,376 34 34 Note:(i) * Provisional figures Table 4.3 O (b): Classification of Transactions in Non-Financial Assets for Districts, FY 2012/13 – 2016/17, Percentages. Acquisition of Non-Financial Asset Buildings and Structures Dwelling Nonresident building Other Structures Machinery and Equipment Transport and Equipment Other machinery and equipment Other fixed assets Cultivated assets Intangible Fixed Assets Other fixed assets Other Inventory Materials and supplies Work in progress Finished goods Goods for resale Valuables Non Produced assets Land Source: Uganda Bureau of Statistics 2012/13 2013/14 2014/15 2015/16 2016/17 100 78.8 10.7 38.7 29.4 5.4 2.5 2.9 15.5 15.5 0.1 0.1 0.2 0.2 100 90.4 9.1 41.6 39.7 8.0 2.9 5.1 1.3 0.5 0.3 0.4 0.3 0.3 100 74.8 10.5 40.7 23.5 6.3 2.6 3.7 18.5 0.4 18.1 0.0 0.0 0.4 0.4 100 81.8 7.1 38.5 36.1 7.6 3.9 3.7 10.6 0.5 6.8 3.3 0.0 0.0 100 81.8 7.1 38.7 36.0 7.6 3.9 3.7 10.5 0.5 6.7 3.3 0.0 0.0 292 Table 4.3 P (a): Classification of Municipalities’ Revenue by Type for FY 2012/13 – 2016/17, Million shs. Revenue Items 2012/13 2013/14 2014/15 2015/16 2016/17* Total Revenue (1+2) 1. Taxes (a) Taxes on Income, Profits ,and Capital Local Service Tax (Payable by individuals) (b) Taxes on property Immovable property(Land Fees) (c) Taxes on goods and services (d) Taxes on permission to use goods or perform activities (e) Other Taxes 2. Central Government Non-Tax revenue (a) Grants Central Government Graduated Tax (Compensation) Donors (b) Other Revenue (i) Property Income Rent Other property incomes (ii) Sale of goods and services Administrative fees Sales by nonmarket establishments (iii) Fines and Penalties (iv) Miscellaneous and unidentified revenue Source: Uganda Bureau of Statistics 170,367 15,222 3,417 3,417 4,398 4,398 1,155 5,994 258 155,147 122,296 120,628 322 1,346 32,851 2,086 1,588 498 28,826 26,618 2,208 9 1,930 242,915 15,771 2,914 2,914 4,426 4,426 1,344 0 7,086.7 227,143 189,538 182,928 194.1 6,416 37,605 4,174 3,133 1040.4 31,389 27,709 3,680 5.6 2,037 285,049 18,312 3,639 3,610 4,474 4,474 1,570 8,629 0 266,738 224,241 212,420 29 11,792 42,497 5,548 5,548 0 31,258 28,930 2,328 174 5,518 327,250 20,142 3,445 3,445 6,011 6,011 1,287 9,398 307,108 267,102 234,196 326,601 19,472 4,086 4,057 5,006 5,006 1,741 5,629 3,010 307,129 260,885 246,299 65.05 14521 46,245 6,765 6765 0 33,639 30,536 3,103 155.8 5,685 32,906 40,006 4,041 3,378 663 34,181 32,076 2,105 95 1,689 Note: These figures include revenue for 22 Municipalities for FY 2012/13 to 2015/16 and 41 Municipalities in FY 2016/17. Note: (i) * Provisional figures Table 4.3 P (b): Classification of Municipalities ‘Revenue by Percentage share for FY 011/12 – 2015/16. Revenue Items Total Revenue (1+2) 1. Taxes (a) Taxes on Income, Profits ,and Capital Local Service Tax (Payable by individuals) (b) Taxes on property Immovable property(Land Fees) (c) Taxes on goods and services (d) Taxes on permission to use goods or perform activities (e) Other Taxes 2. Central Government Non-Tax revenue (a) Grants Central Government Graduated Tax (Compensation) Donors (b) Other Revenue (i) Property Income Rent Other property incomes (ii) Sale of goods and services Administrative fees Sales by nonmarket establishments (iii) Fines and Penalties (iv) Miscellaneous and unidentified revenue Source: Uganda Bureau of Statistics 2012/13 2013/14 2014/15 2015/16 2016/17 100 8.9 2.0 2.0 2.6 2.6 0.7 3.5 0.2 91.1 71.8 70.8 0.2 0.8 19.3 1.2 0.9 0.3 16.9 15.6 1.3 0.0 1.1 100 6.5 1.2 1.2 1.8 1.8 0.6 0.0 2.9 93.5 78.0 75.3 0.1 2.6 15.5 1.7 1.3 0.4 12.9 11.4 1.5 0.0 0.8 100 6.4 1.3 1.3 1.6 1.6 0.6 3.0 0.0 93.6 78.7 74.5 0.0 4.1 14.9 1.9 1.9 0.0 11.0 10.1 0.8 0.1 1.9 100 6.2 1.1 1.1 1.8 1.8 0.4 2.9 0.0 93.8 81.6 71.6 0.0 10.1 12.2 1.2 1.0 0.2 10.4 9.8 0.6 0.0 0.5 100 6.0 1.3 1.2 1.5 1.5 0.5 1.7 0.9 94.0 79.9 75.4 0.0 4.4 14.2 2.1 2.1 0.0 10.3 9.3 1.0 0.0 1.7 293 Table 4.3 Q (a): Functional Classification of Municipalities’ Expenditure, 2012/13– 2016/17 (Shs. Million) Function General Public Administration Public Order and safety Affairs Education Health Community and Social services Water Other Community & Social Services Economic Affairs Agriculture Construction, Roads& Other Transport Other Economic affairs and services Totals Source: Note: 2012/131 2013/141 2014/15 1 2015/16 1 2016-17* 53,016 873 70,390 16,026 3,712 380 3,331 22,643 5,425 17,100 117 166,659 55,998 678 73,146 16,668 5,604 880 4,724 19,422 5,362 13,892 169 171,516 82,788 901 89,627 18,104 9,970 808 9,161 41,472 1,133 40,058 282 242,861 101,102 577 85,044 17,686 7,447 577 6,871 33,466 1,021 31,617 829 245,322 158,304 912 139,267 28,687 11,710 898 10,812 52,279 1,628 49,357 1,294 391,160 Uganda Bureau of Statistics (i) ‘ Revised figures (II) * Provisional figures Table 4.3 Q (b): Functional Classification of Municipalities’ Expenditure by percentage share, 2011/12– 2015/16 Function General Public Administration Public Order and safety Affairs Education Health Community and Social services Water Other Community & Social Services Economic Affairs Agriculture Construction, Roads& Other Transport Other Economic affairs and services Totals Source: Uganda Bureau of Statistics 2012/13 31.8 0.5 42.2 9.6 2.2 0.2 2.0 13.6 3.3 10.3 0.1 100 2013/14 32.6 0.4 42.6 9.7 3.3 0.5 2.8 11.3 3.1 8.1 0.1 100 2014/15 34.1 0.4 36.9 7.5 4.1 0.3 3.8 17.1 0.5 16.5 0.1 100 2015/16 41.2 0.2 34.7 7.2 3.0 0.2 2.8 13.6 0.4 12.9 0.3 100 2016/17 40.5 0.2 35.6 7.3 3.0 0.2 2.8 13.4 0.4 12.6 0.3 100 294 Table 4.3 R (a): Economic Classification of Municipalities’ Expense, FY 2012/13 – 2016/17 (Shs. Million). Economic Government Consumption Wages & Salaries Allowances Travel Abroad Travel Inland Other Goods & Services Domestic Arrears Depreciation Employer Contributions Social Security Schemes Pension & Gratuity Interest Domestic Abroad Subsidies Transfers Domestic Other Government Units Local organisations Households Abroad Other Transfers Nec Totals Source: Uganda Bureau of Statistics 2012/13' 2013/14' 2014/15' 2015/16' 2016/17* 68,057 10,997 480 3,172 33,692 0 5,672 83,948 11,916 429 4,317 25,464 0 3,268 100,231 13,110 773 5,509 32,606 0 14,326 91,322 11,981 813 6,058 31,488 0 32,123 151,623 18,635 1,265 9,423 48,977 0 49,965 167 308 65 508 183 691 283 6,984 440 10,863 131 229 0 12 0 0 0 0 0 130 0 0 202 0 0 0 28,755 0 304 0 7,878 159,842 0 31,896 0 456 0 5,229 167,507 0 60,287 0 666 0 5,779 234,161 0 62,502 0 217 0 1,421 245,322 0 97,218 0 338 0 2,211 391,160 Note: (i) 1Provisional figures Table 4.3 R (b): Economic Classification of Municipalities Expense by Percentage Share, FY2011/12 – 2015/16. Economic Government Consumption Wages & Salaries Allowances Travel Abroad Travel Inland Other Goods & Services Domestic Arrears Depreciation Employer Contributions Social Security Schemes Pension & Gratuity Interest Domestic Abroad Subsidies Transfers Domestic Other Government Units Local organisations Households Abroad Other Transfers Nec Totals Source: Uganda Bureau of Statistics 2012/13 2013/14 2014/15' 2015/16 2016/17 42.6 6.9 0.3 2.0 21.1 3.5 0.1 0.2 0.1 0.1 18.0 0.2 4.9 100 50.1 7.1 0.3 2.6 15.2 2.0 0.0 0.3 0.0 19.0 0.3 3.1 100 42.8 5.6 0.3 2.4 13.9 6.1 0.1 0.3 25.7 0.3 2.5 100 37.2 4.9 0.3 2.5 12.8 13.1 0.1 2.8 0.1 25.5 0.1 0.6 100 38.8 4.8 0.3 2.4 12.5 12.8 0.1 2.8 0.1 24.9 0.1 0.6 100 Note:(i) * Provisional figures 295 Table 4.3 S (a): Classification of Transactions in Non-Financial Assets for Municipalities, FY 2011/12 – 2014/15(Shs. Million). Acquisition of Non-Financial Asset Building and Structures Dwelling Nonresident building Other Structures Machinery and Equipment Transport and Equipment Other machinery and equipment Other fixed assets Other Inventory Materials and supplies Work in progress Finished goods Goods for resale Valuables Non Produced assets Land Subsoil Other naturally occurring assets Intangible non produced assets Source: Uganda Bureau of Statistics 2011/12 2012/13 2013/14 2014/15 7,183 7,471 239 1,880 5,353 -623 86 -709 -210 544 535 9 6,816 8,814 92 3,541 5,180 -1,564 -245 -1,319 -517 83 63 20 - 4,008 3,208 381 1,497 1,330 529 53 476 3 3 267 266 2 0 8,701 6,579 280 849 5,450 1,073 -721 1,793 1 1 1,048 1,041 8 Table 4.3 S (a): Classification of Transactions in Non-Financial Assets for Municipalities, FY 2011/12 –2014/15, Percentages. FY Acquisition of Non-Financial Asset Buildings and structures Dwelling Nonresident building Other Structures Machinery and Equipment Transport and Equipment Other machinery and equipment Other fixed assets Other Inventory Materials and supplies Work in progress Finished goods Goods for resale Valuables Non Produced assets Land Source: Uganda Bureau of Statistics 2011/12 2011/12 2013/14 2014/15 100.0 104.0 3.3 26.2 74.5 (8.7) 1.2 (9.9) (2.9) 5 5 100 129 1 52 76 -23 -4 -19 -8 1 1 100 80 10 37 33 13 1 12 0 0 7 7 100 76 3 10 63 12 -8 21 0 0 12 12 296 Table 4.3 T (a): Classification of Town councils’ Revenue by Type for FY 2012/13 2016/17(Million Shs) Revenue Items Total Revenue (1+2) 1. Taxes (a) Taxes on Income, Profits ,and Capital Gains Local Service Tax (Payable by individuals) (b) Taxes on property Immovable property(Land Fees) (c) Taxes on goods and services (d) Taxes on permission to use goods or perform activities (e) Other Taxes 2. Central Government Non-Tax revenue (a) Grants Central Government Graduated Tax (Compensation) Donors (b) Other Revenue (i) Property Income Rent Other property incomes (ii) Sale of goods and services Administrative fees Sales by nonmarket establishments (iii) Fines and Penalties (iv) Miscellaneous and unidentified revenue Source: Uganda Bureau of Statistics 2012/13 2013/14 2014/15 2015/161 2016/17* 60,709 4,535 1,351 1,351 1,029 1,029 164 1,984 6 56,174 44,443 43,068 6 1,369 11,731 1,593 1,550 43 9,603 8,521 1,082 11 524 71,383 4,972 1,513 1,513 933 933 163 2,346 18 66,411 51,823 51,222 47 554 14,588 1,046 917 129 13,012 11,112 1,900 47 484 98,160 7,030 2,161 2,140 1,163 1,163 257 3,449 91,131 70,715 70,405 21 310 20,415 2,153 2,140 13 17,043 15,676 1,367 37 1,182 90,611 6,896 2,288 2,288 1,199 1,199 310 3,071 29 83,715 66,894 66,680 214 16,822 1,239 1,224 15 15,047 12,979 2,068 31 504 106,211 8,024 2,655 2,645 1,296 1,296 331 3,731 2 98,187 77,317 77,295 23 20,870 1,812 1,778 34 18,200 16,254 1,947 38 818 Note: These figures include revenue for 174 Town councils. Note: (i) I Revised figures (iii) * Provisional figure Table 4.3 T (b): Classification of Town Councils’ Revenue by Percentage share for FY 2012/13– 16/17. Revenue Items Total Revenue (1+2) 1. Taxes (a) Taxes on Income, Profits ,and Capital Gains Local Service Tax (Payable by individuals) (b) Taxes on property Immovable property(Land Fees) (c) Taxes on goods and services (d) Taxes on permission to use goods or perform activities (e) Other Taxes 2. Central Government Non-Tax revenue (a) Grants Central Government Graduated Tax (Compensation) Donors (b) Other Revenue (i) Property Income Rent Other property incomes (ii) Sale of goods and services Administrative fees Sales by nonmarket establishments (iii) Fines and Penalties (iv) Miscellaneous and unidentified revenue Source: Note: (i) 2012/13 2013/14 2014/15 2015/16 2016/17 100 7.5 2.2 2.2 1.7 1.7 0.3 3.3 0.0 92.5 73.2 70.9 0.0 2.3 19.3 2.6 2.6 0.1 15.8 14.0 1.8 0.0 0.9 100 7.0 2.1 2.1 1.3 1.3 0.2 3.3 0.0 93.0 72.6 71.8 0.1 0.8 20.4 1.5 1.3 0.2 18.2 15.6 2.7 0.1 0.7 100 7.2 2.2 2.2 1.2 1.2 0.3 3.5 92.8 72.0 71.7 0.0 0.3 20.8 2.2 2.2 0.0 17.4 16.0 1.4 0.0 1.2 100 7.6 2.5 2.5 1.3 1.3 0.3 3.4 0.0 92.4 73.8 73.6 0.2 18.6 1.4 1.4 0.0 16.6 14.3 2.3 0.0 0.6 100 7.6 2.5 2.5 1.2 1.2 0.3 3.5 0.0 92.4 72.8 72.8 0.0 0.0 19.6 1.7 1.7 0.0 17.1 15.3 1.8 0.0 0.8 Uganda Bureau of Statistics I Revised figures (ii) * Provisional figure 297 Table 4.3 U (a): Functional Classification of Town Councils’ Expenditure 2012/13 – 2016/17 (Shs. Million) Function 2012/13 2013/14 2014/15 2015/16' 2016/17* 32,389 42,063 39,783 86,392 88,646 462 569 690 771 776 General Public Administration Public Order and safety Affairs Education 692 1,092 999 1,545 1,515 3,589 4,339 4,524 5,861 5,607 Water 1,689 1,460 2,187 1,668 1,576 Other Community &Social Services 3,805 3,154 4,469 5,521 5,237 Agriculture 13,381 13,648 697 1,069 1,065 Construction, Roads& Other Transport 24,996 24,233 35,024 34,741 33,623 117 223 74 1 1 81,122.00 90,781.00 88,446 137,569 138,045 Health Community and Social services Other Economic Affairs Other Economic affairs and services Totals Source: Uganda Bureau of Statistics Note: Figures present total expenditure for 174 town councils ‘Revised figures * Provisional figures Table 4.3 U (b): Functional Classification of Town Councils’ Expenditure by percentage share, 2012/13– 2016/17 Function 2012/13 2013/14 2014/15 2015/16' 2016/17* General Public Administration 39.9 46.3 45 62.8 64.2 Public Order and safety Affairs 0.6 0.6 0.8 0.6 0.6 Education 0.9 1.2 1.1 1.1 1.1 Health 4.4 4.8 5.1 4.3 4.1 Water 2.1 1.6 2.5 1.2 1.1 Other Community &Social Services 4.7 3.5 5.1 4 3.8 Community and Social services Other Economic Affairs Agriculture 16.5 15 0.8 0.8 0.8 Construction, Roads& Other Transport 30.8 26.7 39.6 25.3 24.4 Other Economic affairs and services 0.1 0.2 0.1 0 0 Totals 100 100 100 100 100 Source: Uganda Bureau of Statistics Note: (i) * Provisional figures 298 Table 4.3 V (a): Economic Classification of Town councils Expenditure FY 2012/13 – 2016/17 (Shs. Million). Economic Government Consumption Wages & Salaries Allowances Travel Abroad Travel Inland Other Goods & Services Domestic Arrears Depreciation Employer Contributions Social Security Schemes Pension & Gratuity Interest Domestic Abroad Subsidies Transfers Domestic Other Government Units Local organisations Households Abroad Other Transfers Nec Totals Source: Uganda Bureau of Statistics Note: 2012/13 2013/14 2014/15 2015/16' 2016/17* 17,621 9,916 263 2,513 27,618 3,835 19,750 10,067 142 3,247 25,504 2,513 21,254 9,918 450 4,261 32,579 2,142 281 - 474 - 35 - 22,700 10,096 573 4,464 33,857 6,539 161 - 24,816 8,772 498 3,879 29,417 7,119 147 - 36 11 - 1 - 24 27 - - - 6,472 2 258 1,499 70,325 6,593 1 382 77 1,070 69,822 2,658 5 408 1 1,799 75,559 3,500 16 453 162 572 83,092 3,041 14 394 141 497 78,734 (i) I Revised figure (ii) * Provisional figures Table 4.3 V (b): Economic Classification of Town Councils Expenditure by Percentage Share, FY2012/13 –16/17. Economic Government Consumption Wages & Salaries Allowances Travel Abroad Travel Inland Other Goods & Services Domestic Arrears Depreciation Employer Contributions Social Security Schemes Pension & Gratuity Interest Domestic Abroad Subsidies Transfers Domestic Other Government Units Local organisations Households Abroad Other Transfers Nec Totals Source: Uganda Bureau of Statistics Note: 2012/13 2013/14 2014/15 2015/16' 2016/17* 25.1 14.1 0.4 3.6 39.3 5.5 28.3 14.4 0.2 4.6 36.5 3.6 28.1 13.1 0.6 5.6 43.1 2.8 0.4 - 0.7 - 0 - 27.3 12.2 0.7 5.4 40.7 7.9 0.2 - 31.5 11.1 0.6 4.9 37.4 9 0.2 - 0.1 0 - 0 - 0 0 - - - 9.2 0.4 2.1 100 9.4 0.5 0.1 1.5 100 3.5 0.5 0 2.4 100 4.2 0 0.5 0.2 0.7 100 3.9 0 0.5 0.2 0.6 100 (i) I Revised figure (ii) * Provisional figures 299 Table 4.3 W (a): Classification of Transactions in Non-Financial Assets for Town Councils, FY 2012/13 – 16/17 (Shs. Million) FIXED ASSETS Buildings & Structures Dwellings Nonresidential Buildings Other Structures Machinery & Equipment Transport Equipment Other Machinery & Equipment Other Fixed assets Cultivated assets Intangible fixed Assets INVENTORIES Other Inventories Materials and supplies Work in progress VALUABLES NONPRODUCED ASSETS Land Subsoil assets Intangible non-produced assets Totals Source: Uganda Bureau of Statistics 2012/13 2013/14 2014/15 2015/16' 2016/17* 90 1,157 8,721 171 4,106 15,033 58 1,680 10,674 530 10,436 23,682 577 11,362 25,783 257 275 813 437 85 153 4,006 3,645 4,362 3,969 2 - 1 - 4 - 11 3,727 12 4,058 9 105 - - 3 76 378 3 83 412 182 10,797 397 20,959 232 12,886 7,978 6 54,477 8,686 6 59,311 Table 4.3 W (b): Classification of Transactions in Non-Financial Assets for Town Councils, FY 2012/13 – 2016/17 (Percentages) 2012/13 2013/14 2014/15 2015/16' 2016/17* 0.8 0.8 0.5 1 1 Nonresidential Buildings 10.7 19.6 13 19.2 19.2 Other Structures 80.8 71.7 82.8 43.5 43.5 Transport Equipment 2.4 3.9 0.7 7.4 7.4 Other Machinery & Equipment 2.5 2.1 1.2 6.7 6.7 Cultivated assets - - 0 0 0 Intangible fixed Assets - - - 6.8 6.8 FIXED ASSETS Buildings & Structures Dwellings Machinery & Equipment Other Fixed assets INVENTORIES Other Inventories Materials and supplies Work in progress - - - 0 0 0.1 - - 0.1 0.1 1 - - 0.7 0.7 VALUABLES NONPRODUCED ASSETS Land 1.7 1.9 1.8 14.6 14.6 Subsoil assets - - - - - Intangible non-produced assets - - - 0 0 100 100 100 100 100 Totals 300 4.5 Banking and Currency Table 4.5 A: Depository Corporation Survey as at June, bill shs Item June 2012 June 2013 June 2014 June 2015 June 2016 Net Foreign Assets 90,601 100,080 102,323 115,148 125,652 Central Bank(net) 84,755 98,745 109,171 118,370 127,199 82,133 92,840 102,621 111,196 120,128 5,845 1,335 (6,848) (3,221) (1,547) Net Domestic Assets (NDA) 42,249 46,950 68,857 79,838 85,149 Domestic Claims 88,541 98,399 121,955 153,160 169,935 Claims on Central Government (net) (3,132) (1,109) 11,105 21,180 30,640 Claims on Central Government 113,934 133,395 118,317 81,122 87,215 Less Liabilities to Central Government 117,067 134,504 107,213 59,942 56,574 91,674 99,508 110,850 131,979 139,295 Other Financial Corporations 436 353 463 582 672 State and Local Government 7 9 8 26 18 463 688 551 493 352 90,768 98,457 109,829 130,879 138,253 90,664 98,264 109,645 130,751 138,227 (46,292) (51,449) (53,098) (73,321) (84,786) 44,694 51,858 57,559 80,584 89,055 (360) (159) (77) 258 347 (1,238) 568 4,539 7,004 3,921 132,850 147,030 171,180 194,987 210,801 Foreign Currency Deposits 37,063 39,810 47,452 61,789 65,513 Broad Money - M2 95,786 107,220 123,728 133,197 145,288 Other Deposits-Local Currency 39,568 43,648 50,177 53,862 59,479 Narrow Money - M1 56,218 63,572 73,552 79,336 85,809 Transferable Deposits-Local Currency 32,606 37,816 44,498 45,632 49,876 Currency Outside Depository Corporations 23,612 25,756 29,054 33,704 35,933 Of Which: Official Foreign Assets Other Depository Corporations(net) Claims on Other Sectors Public Non-Financial Corporations Private Sector Of which: Loans Other Items (net) Shares and Other Equity Consolidation Adjustments Other Items(net) Money Supply Broad Money - M3 Source: Bank of Uganda 301 Table 4.5 B: Commercial Banks assets (Bill. Shs), as at June, 2012- 2016 Total Assets Notes and coins Balance with Bank of Uganda Bank of Uganda securities June 2012 June 2013 June 2014 June 2015 June 2016 385 875 519 1,690 589 2,263 739 2,064 698 2,766 - - - - - Central government securities 2,579 3,116 4,038 4,284 4,966 Treasury Bills (Lines 10 and 11) 1,371 1,764 2,183 2,436 3,008 Trading Account Securities 577 420 899 811 1,286 Investment Securities 794 1,344 1,283 1,625 1,721 1,208 1,352 1,855 1,848 1,958 Other Central Government Securities - - - - - Other securities (Non-central government securities) 1 2 2 1 1 1,774 1,422 1,528 2,182 2,141 237 253 628 450 386 Deposits with Credit Institutions in Uganda 0 1 0 3 0 Deposits with Micro-Finance Deposit Taking Institutions (MDI'S) - - 6 1 - Deposits in Ugandawith Other Financial Institutions in Uganda Deposits with Non-Resident Banks - 2 1 - - 1,536 1,166 893 1,728 1,756 Loans to financial institutions 692 335 326 403 144 Due from Commercial banks in Uganda 301 186 187 274 83 Due from Credit Institutions in Uganda - - - - - Due from Micro-Finance Deposit Taking Institutions (MDI's) in 4 0 - - - 26 22 26 34 38 Treasury Bonds Deposits Deposits with Commercial banks in Uganda Due from Other Financial Institutions in Uganda Uganda Due from Resident Parent/Group Companies Due from Non-Resident Banks Due from Non-Resident Parent/Group Companies - - - - - 310 126 113 95 23 51 - - - - Loans, administered advances, overdrafts and discounts 7,217 7,676 8,784 10,540 10,930 Gross Loans (Gross) Gross Overdrafts 5,333 5,304 6,089 7,111 7,624 1,524 1,581 1,630 2,105 2,031 Gross Discounts 8 8 12 23 15 Gross Administered Loans 352 783 1,053 1,300 1,261 Loan Loss Reserves 157 198 372 257 447 Specific Provisions 138 162 316 222 367 19 36 56 35 80 7,060 7,478 8,412 10,283 10,483 Financial derivatives 19 43 13 25 100 Equity investments 44 48 74 64 52 Gross fixed assets 843 980 1,303 1,527 1,752 Interest in Suspense Net Loans Outstanding (Lines 29 less 34) Net due from own offices in Uganda for items in transit Due from other banks for items in transit 2 0 0 0 2 12 14 10 16 11 Other assets 507 504 623 720 633 Total assets 14,412 15,692 18,640 21,673 22,997 Source: Bank of Uganda 302 Table 4.5 C: Commercial Banks Liabilities (Bill. Shs), as at June, 2012- 2016 TOTAL LIABILITIES Deposits Demand Deposits June 12 9,733 5,261 June 13 10,299 5,297 June 14 12,406 6,515 June 15 14,491 7,820 June 16 15,578 8,253 Savings Deposits 1,528 1,748 2,100 2,599 2,958 Time Deposits 2,944 3,254 3,790 4,071 4,367 - - - - - 909 746 1,026 741 561 1 - 2 - - 449 326 589 396 226 2 Certificate of Deposit Borrowings Of which Bank of Uganda Clearing House Account Commercial banks (Other Loans) Credit Institutions - - - 0 Micro-Finance Deposit Taking Institutions (MDI's) 1 1 1 7 - Other Financial Institutions - - 44 53 34 Due to Parent/Group Companies Other Borrowings- Residents Non-Resident Banks 108 - - - - 44 57 21 42 29 265 211 330 357 231 Due to Non-Resident Parent/Group Companies 50 - - - - Other Borrowings-Non-Residents 46 33 13 12 6 Other Securities Issued - - - - - 35 30 24 17 10 Financial Derivatives 18 41 10 12 100 Administered Funds 365 814 1,081 1,622 1,195 53 54 51 49 46 - Bank of Uganda Commercial banks - - - - Micro-Finance Deposit Taking Institutions (MDI's) - 1 - - - Other Financial Institutions 3 - 1 - 21 Other Residents 8 11 5 15 10 Non-Resident Banks 141 330 686 1,300 1,089 Other Non-Residents 159 201 339 259 29 0 0 4 8 0 949 835 941 1,192 1,358 Net due to own offices in Uganda for items in transit Other Liabilities Unpaid Bank Drafts Other Accounts Payable Other Provisions 11 11 19 17 20 164 126 135 205 223 66 84 62 117 171 Others 709 615 724 853 944 Subordinated debt and redeemable preference shares 162 186 206 237 314 Subordinated debt 162 186 206 237 314 12,171 12,952 15,697 18,320 19,117 1,937 2,483 2,747 3,085 3,538 1,435 Total Liabilities Capital Paid up ordinary shares 791 1,141 1,298 1,384 Paid up preference shares 22 31 32 33 37 Share Premium 82 115 91 110 146 1,723 Retained Earnings/Deficits 939 1,045 1,172 1,426 Revaluation Reserves 14 40 35 40 49 General Provisions 71 80 93 117 117 31 Other Reserves (specify) General Credit Risk Reserve Year-to-date profit/loss (After Tax) Total Capital Total Liabilities and Capital 6 4 24 (25) 13 27 2 0 0 304 257 196 268 343 2,240 2,741 2,943 3,353 3,881 14,412 15,692 18,640 21,673 22,997 Source: Bank of Uganda 303 Table 4.5 D: Commercial Banks foreign currency loans to the private sector Bill. Shs Broad Sector 2012 2013 2014 2015 2016 2,229,288 3,305,253 4,576,801 6,380,126 7,140,430 1,396,555 1,703,561 1,789,051 2,339,849 2,129,956 832,734 1,601,692 2,787,750 4,040,277 5,010,474 189,779 175,088 133,811 212,085 434,651 Manufacturing 7,112,349 8,803,502 9,678,431 13,511,130 12,872,398 Trade 6,933,222 7,396,234 8,914,197 9,643,649 10,045,291 Transport and Communication 2,793,645 3,522,938 3,399,369 4,499,605 5,069,174 Agriculture Production Of which processing & marketing(crop finance) Mining and Quarrying Electricity and Water Building, Mortgage and Construction Of which Mortgage 751,696 898,803 1,057,388 1,552,736 1,813,605 7,429,679 9,585,758 11,910,004 15,711,913 16,732,093 2,660,257 3,247,318 5,796,636 7,270,171 7,100,087 Business Services 928,287 1,485,565 2,045,190 2,361,918 2,019,750 Community, Social & Other Services 477,451 660,210 803,444 1,165,728 1,375,357 Personal Loans and Household Loans 602,249 1,039,373 852,632 963,484 1,024,065 Other Services Total 1,320,203 1,134,509 947,525 711,767 583,521 30,767,848 38,007,233 44,318,792 56,714,142 59,110,334 Source: Bank of Uganda Table 4.5 E: Commercial Banks Shillings denominated loans to the private sector, Bill. Shs Broad Sector 2012 2013 2014 2015 2016 Agriculture 3,476 3,787 4,785 5,306 5,756 Production 1,451 1,415 1,867 2,272 2,720 Processing & marketing (crop finance) 2,025 2,372 2,918 3,034 3,035 Mining and Quarrying Manufacturing Trade Transport and Communication Electricity and Water Building, Mortgage and Construction Of which Mortgage Business Services Community, Social & Other Services Personal Loans and Household Loans Other Services Total 169 182 218 363 342 5,035 4,895 4,639 6,099 6,022 11,128 11,023 12,199 14,441 13,959 3,128 2,190 2,106 2,383 4,318 236 346 517 657 807 12,737 11,899 12,737 13,770 14,567 7,872 7,033 7,432 7,676 8,261 2,880 2,954 2,563 3,528 2,997 2,564 2,260 2,765 2,993 3,150 12,188 12,843 17,507 18,461 20,130 2,697 4,104 1,404 1,077 1,004 56,239 56,483 61,442 69,079 73,050 Source: Bank of Uganda 304 Table 4.5 F: Structure of Interest Rates, 2012-2016 Bank of Uganda Ways Rediscount rate Bank rate to Commercial Banks Central Bank Rate (CBR) Treasury Bills (Monthly Average Annualised Discount rate) 91 Days 182 Days 273 Days 364 Days Commercial Banks' (Weighted Average) Shillings Deposit Rates (WARD) Demand deposits Savings deposits Time Deposits (7-12 months) Lending Rates Foreign Currency Deposit Rates (WARD) Demand deposits Savings deposits Time Fixed Deposits Lending Rates Source: Bank of Uganda 2012 2013 2014 2015 2016 14.23 22.04 23.04 18.04 9.35 14.79 15.79 11.71 9.62 14.21 15.21 11.21 14.38 17.38 18.38 13.96 14.45 18.92 19.92 14.92 14.23 15.44 9.35 11.46 9.62 11.16 14.38 15.61 14.45 15.13 14.70 11.61 11.29 15.56 14.92 3.29 1.50 3.20 16.80 26.15 2.87 1.68 2.94 12.12 23.28 3.09 1.78 2.71 10.81 21.58 3.24 1.50 3.35 12.77 22.60 4.18 1.99 3.49 13.24 23.89 1.23 0.96 1.59 4.23 9.46 1.37 1.01 1.69 4.73 9.77 1.39 1.00 1.59 3.98 9.51 1.31 0.95 1.54 3.96 9.20 1.31 0.99 1.62 3.91 9.61 Table 4.5 G: Annualised Average Interest Rates, 2012-2016 Rediscount rate Bank rate to Commercial Banks Central Bank Rate (CBR) Treasury Bills (Monthly Average Discount Factor) 91 Days 182 Days 273 Days 364 Days Commercial Banks' (Weighted Average) a) Shillings Deposit Rates (WARD) Demand deposits Savings deposits Time Deposits (7-12 months) Lending Rates b) Foreign Currency Deposit Rates (WARD) Demand deposits Savings deposits Time Fixed Deposits Lending Rates Interbank Rates Overnight 7 Day Overall Source: Bank of Uganda 2012 22.0 23.0 18.0 2013 14.8 15.8 11.7 2014 14.2 15.2 11.2 2015 17.4 18.4 14.0 2016 18.9 19.9 14.9 14.2 15.4 9.4 11.5 9.6 11.2 14.4 15.6 14.4 15.1 14.7 11.6 11.3 15.6 14.9 3.3 1.5 3.2 16.8 26.2 2.9 1.7 2.9 12.1 23.3 3.1 1.8 2.7 10.8 21.6 3.2 1.5 3.3 12.8 22.6 4.2 2.0 3.5 13.2 23.9 1.2 1.0 1.6 4.2 9.5 1.4 1.0 1.7 4.7 9.8 1.4 1.0 1.6 4.0 9.5 1.3 1.0 1.5 4.0 9.2 1.3 1.0 1.6 3.9 9.6 15.6 19.1 16.7 7.7 11.5 8.7 8.8 11.1 9.2 11.5 15.1 12.4 11.7 15.4 12.4 305 Table 4.5 H: Annual Foreign Exchange Rates, Uganda Shillings per US$ Bureau Weighted Average 2012 2013 2014 2015 2016 Buying rate 2,494 2,578 2,590 3,226 3,407 Selling rate 2,504 2,587 2,599 3,242 3,422 Bureau mid-rate 2,499 2,583 2,595 3,234 3,414 Inter-bank mid-rate 2,505 2,587 2,600 3,246 3,420 Source: Bank of Uganda Table 4.5 I: Volume of Inter-bank and Bureaux Foreign Exchange Transactions, Mill. US $ 2012 2013 2014 2015 2016 Purchases Bureaux 3,677.5 3,854.0 4,061.3 3,787 3,254 Inter-Bank 7,364.2 8,452.6 8,119.7 7,672 7,052 11,041.8 12,306.6 12,181.1 11,460 10,305 Bureaux 3,456.7 3,774.6 3,976.1 3,848 3,273 Inter-Bank 6,492.1 7,810.7 7,381.5 7,371 6,178 Total 9,948.8 11,585.3 11,357.6 11,219 9,451 Total Sales Source: Bank of Uganda 306 4.6 Insurance Table 4.6 A: Life Insurance Premium Incomings 2011 – 2015 (Million shillings) Class of Business Life Individual Life Group Medical DAP Total Income 2011 2012 2013 2014 2015 3,771 5,753 8,745 18,167 24,428 25,658 26,951 34,501 31,824 57,654 n.a n.a 4,040 12,501 5,277 5,157 6,551 8,119 11,542 12,490 34,586 39,255 55,405 74,034 99,849 Source: Insurance Regulatory Authority of Uganda Table 4.6 B: Life Insurance Reinsurance Outgoings 2010 – 2014 (Million shillings) Class of Business Life Individual Life Group Medical 2011 2013 2014 2015 509 119 190 380 1,587 3,705 5,429 8,558 5,314 15,560 n.a n.a 3,424 5,151 0 DAP Total Income 2012 0 0 0 0 0 4,214 5,548 12,172 10,845 17,147 Source: Insurance Regulatory Authority of Uganda Table 4.6 C: Life Insurance Net Premium Income 2010 – 2014 (Million shillings) Class of Business Life Individual Life Group Medical DAP Total Income 2011 2012 2013 2014 2015 3,261 5,634 8,555 17,787 22,841 21,953 21,521 25,943 26,643 42,094 n.a n.a n.a 7,350 5,277 5,157 6,551 8,119 11,542 12,490 30,371 33,706 42,617 63,322 82,702 Source: Insurance Regulatory Authority of Uganda Table 4.6 D: Paid and Outstanding Claims, by Class: Life 2010 – 2014 (Million shillings) Class of Business Life Individual Life Group Medical DAP Total Income 2011 2012 2013 2014 2015 401 701 826 5,360 3,205 8,088 7,358 8,799 7,068 15,754 n.a n.a n.a 422 4,107 8,459 3,685 2,845 9,009 8,331 16,948 11,744 12,470 21,859 31,397 Source: Insurance Regulatory Authority of Uganda Table 4.6 E: Non-Life Insurance Premium Incomings 2010 – 2014 (Million shillings) Class of Business 2011 2012 2013 2014 2015 Fire 43,086 56,934 62,603 67,750 74,131 Marine/Aviation 21,034 21,760 24,536 26,782 28,702 Motor 81,183 90,052 100,658 107,463 118,005 Misc. Accident 42,768 55,268 31,271 31,411 95,855 188,071 224,014 219,068 233,406 316,693 Total Income Source: Insurance Regulatory Authority of Uganda 307 Table 4.6 F: Non-Life Insurance Reinsurance Outgoings 2010 – 2014 (Million shillings) Class of Business 2011 2012 2013 2014 2015 Fire 32,547 42,546 49,976 48,872 58,344 Marine/Aviation 13,844 14,496 16,380 17,904 16,722 Motor 6,532 8,719 11,166 10,787 9,311 Misc. Accident 26,476 28,944 14,495 18,390 40,869 Total Income 79,399 94,705 92,017 95,953 125,246 Source: Insurance Regulatory Authority of Uganda Table 4.6 G: Non-Life Insurance Net Premium Income 2010 – 2014 (Million shillings) Class of Business 2011 2012 2013 2014 2015 Fire 9,574 13,432 12,657 15,463 16,835 Marine/Aviation 6,633 6,959 7,737 7,962 10,400 Motor 68,209 80,932 84,046 91,531 103,230 Misc. Accident 15,458 22,778 16,621 14,005 52,977 Total Income 99,874 124,101 121,061 128,961 183,442 Source: Insurance Regulatory Authority of Uganda Table 4.6 H: Paid and Outstanding Claims, by Class: Non-Life 2010 – 2014 (Million shillings) Class of business 2011 2012 2013 2014 2015 Fire 3,643 3,845 1,270 1,751 5,004 Marine/Aviation Motor Misc. Accidents Total Income 2,978 2,214 2,901 1,006 3,260 26,371 30,419 33,772 34,703 44,684 8,282 13,376 7,453 5,302 35,119 41,274 49,854 45,396 42,762 88,067 Source: Insurance Regulatory Authority of Uganda 308