The United Republic of Tanzania National Population Projections National Bureau of Statistics Ministry of Finance and Planning Dar es Salaam and Office of the Chief Government Statistician Ministry of Finance and Planning Zanzibar February, 2018 UNITED REPUBLIC OF TANZANIA, ADMINISTRATIVE BOUNDARIES The United Republic of Tanzania is the union of two independent countries of Tanganyika and Zanzibar. The union of these two countries took place on 26th April, 1964. Administratively, Tanzania has a total of 31 regions, 26 in Tanzania Mainland (formerly known as Tanganyika) and 5 in Tanzania Zanzibar. Foreword This report presents the methodology and population projections based on the 2012 Population and Housing Census (PHC) data. The projection exercise was undertaken by the National Bureau of Statistics (NBS) in collaboration with the Office of the Chief Government Statistician, Zanzibar (OCGS). The results include projections of the total population by sex in single years and five-year age groups; and summary of some demographic indicators. The success of the projection work depended upon the cooperation and contributions from the government, development partners and various institutions. A special word of thanks should go to UNFPA, USAID and TSMP basket funders for their financial support and UNAIDS and ESRF for their technical support. We would also like to thank experts from higher learning institutions in the country for their valuable technical support. Special thanks should also go to the Management of NBS and OCGS whose commitment and dedication made significant contributions to the overall efficiency of this work. Special thanks should go to Dr. Thomas McDevitt, a Demographer from US Census Bureau who trained and guided the team on PASEX spreadsheets and basic computational techniques; and Dr. Mike Levin, an IT specialist on census data who guided the IT team on data cleaning and computation of the 2002 census data based on 2017 administrative structure. Last but not least, we would wish to thank the whole National Team of Analysts: Dr. Albina Chuwa, Ms. Mayasa Mwinyi Mahfoudh, Mr. Irenius Ruyobya, Prof. M. Mbonile, Mr. Ahmed Makbel, Ms. Asia Hassan Mussa, Mr. Abdul-Majid Jecha, Mr. Seif Ahmad Kuchengo, Mr. Mdoka Omary, Ms. Sabina R. Daima, Mr. Bakar Kombo Omary, Mr. Ariv Severe, Eng. Ambose Mapande and Eng. Robert Sikumbili. This team of analysts is particularly thanked for their commitment, dedication and active participation in the production of these projections. NBS and OCGS welcome comments and suggestions regarding these projections and other publications emanating from the 2012 Population and Housing Census. All comments and suggestions should be addressed to the Director General, National Bureau of Statistics, P.O. Box 796, Dar es Salaam, e-mail dg@nbs.go.tz, or to the Chief Government Statistician, Office of the Chief Government Statistician, P.O. Box 2331, Zanzibar, e-mail: zanlink@ocgs.go.tz. Dr. Albina Chuwa, Director General, National Bureau of Statistics, Dar es Salaam Ms. Mayasa Mwinyi Mahfoudh, Government Statistician, Office of the Chief Government Statistian, Zanzibar i Executive Summary This report presents population projections for the period of 2013 to 2035 at National level, Tanzania Mainland and Tanzania Zanzibar. These population projections were made using Cohort Component Technique; of Rural Urban Projection Program (RUP) that was developed by the US Census Bureau, and Spectrum System which is a computer package that analyses existing information to determine the future consequence of today’s development programmes and policies. These projections included three components for population change, namely: fertility, mortality and migration. The report gives fertility, mortality, migration and HIV/AIDS assumptions used, and presents demographic and socio-economic future trends for Tanzania, Tanzania Mainland and Tanzania Zanzibar. The results include estimated total population by sex in single years and five-year age groups as well as the summary of demographic indicators. It should be noted that, before projection, population was adjusted to mid-year of 2012 using population growth rate based on estimated fertility and mortality. This provided the adjusted population estimates by using MOVEPOP spreadsheets. During this process, National projection was adjusted to accommodate five (5) percent of under-enumerated population during census undertaking as revealed by Post-Enumeration Survey (PES). For the period of 2013 to 2035, it is assumed that the population growth of the country will decrease. The national projections show that the Tanzania population growth rate will decrease from 3.1 percent in 2013 (with a population of 46,356,279) to 2.8 percent in 2035 (with a population of 89,204,781). For the Tanzania Mainland population growth rate will also decrease from 3.1 in 2013 (with a population of 45,007,503) to 2.8 percent in 2035 (with a population of 86,871,546). In Tanzania Zanzibar, the population growth rate will decrease from 3.4 percent in 2013 (with a population of 1,348,776) to 1.9 percent in 2035 (with a population of 2,333,235). As for mortality, Infant Mortality Rates (IMRs) in Tanzania and Tanzania Mainland are expected to decline for both sexes from 43 deaths per 1,000 live births in 2013 to 13 deaths per 1,000 live births in 2035. For Tanzania Zanzibar, IMR is projected to decline from 38 deaths per 1,000 live births in 2013 to 13 deaths per 1,000 live births in 2035. The mortality estimates further show that life expectancy at birth for both Tanzania and Tanzania Mainland will increase from 62 years in 2013 to 74 years in 2035 for both sexes. For the male population, life expectancy at birth for Tanzania and Tanzania Mainland will increase from 60 ii years in year 2013 to 71 years in 2035, while life expectancy at birth for the female population will increase from 64 years in 2013 to 77 years in 2035. For Tanzania Zanzibar, life expectancy at birth will increase from 66 years in 2013 to 73 years in 2035 for both sexes. For the male population, life expectancy at birth will increase from 64 years in year 2013 to 70 years in 2035, while life expectancy at birth for the female population will increase from 67 years in 2013 to 77 years in 2035. On fertility, the Total Fertility Rate (TFR) will decline from 5.3 children per woman in 2013 to 4.1 children per woman in 2035 for both Tanzania and Tanzania Mainland. For Tanzania Zanzibar, the TFR will decrease from 4.9 children per woman in 2013 to 3.2 children per woman in 2035. iii Contents Page Foreword ...................................................................................................................................... i Executive Summary ..................................................................................................................... ii Contents .................................................................................................................................... iv List of Text Tables ....................................................................................................................... v List of Figures ............................................................................................................................. vi List of Maps ................................................................................................................................ vi List of Statistical Tables ............................................................................................................. vii List of Abbreviation and Acronyms ............................................................................................. ix Chapter One ............................................................................................................................... 1 Introduction ................................................................................................................................ 1 1.1 Background .................................................................................................................... 1 1.3 The Population Projection Software ................................................................................ 2 Chapter Two ............................................................................................................................... 5 Methodology ............................................................................................................................... 5 2.1 Introduction .................................................................................................................... 5 2.2 Base year Population ...................................................................................................... 6 2.3 Fertility Assumptions and Estimation ............................................................................. 7 2.3.1 Introduction .................................................................................................................... 7 2.3.2 Fertility Estimation ......................................................................................................... 7 2.4 Mortality ........................................................................................................................ 8 2.4.1 Introduction .................................................................................................................... 8 2.4.2 Mortality Estimation ....................................................................................................... 9 2.4.3 Assumptions ................................................................................................................. 11 2.5 Migration...................................................................................................................... 13 2.5.1 Introduction .................................................................................................................. 13 2.5.2 Internal Migration Assumptions ................................................................................... 13 2.5.3 International Migration Assumptions ............................................................................ 15 2.6 HIV/AIDS Assumptions ............................................................................................... 16 2.6.1 Introduction .................................................................................................................. 16 2.6.2 HIV/AIDs Assumptions ................................................................................................ 16 iv Chapter Three .......................................................................................................................... 20 Projections ................................................................................................................................ 20 3.1 Introduction .................................................................................................................. 20 3.2 Highlights of Population Projections Results ................................................................ 20 3.2.1 Population Growth........................................................................................................ 20 3.2.2 Life Expectancy at Birth ............................................................................................... 21 3.2.3 Infant Mortality Rate (IMR) ......................................................................................... 22 3.2.4 Total Fertility Rate (TFR) ............................................................................................. 23 3.2.5 Thematic Maps on Selected Age Groups and Indicators for the Year 2025 ................... 30 3.2.6 Thematic Maps on Selected Age Groups and Indicators for the Year 2030 ................... 40 Chapter Four ............................................................................................................................ 50 Population Projection’s Statistical Tables ............................................................................... 50 Annex ................................................................................................................................... 99 List of Contributors .................................................................................................................... 99 References: ............................................................................................................................... 101 List of Text Tables Table 2.1: Fertility Assumptions for Tanzania, Tanzania Mainland and Tanzania Zanzibar: 2012 – 2035 ............................................................................................................... 8 Table 2.2: Mortality Assumptions: Life Expectancy at Birth in Tanzania, Tanzania Mainland and Tanzania Zanzibar: 2012 – 2035 ........................................................ 12 Table 2.3: The 13-Parameter Rogers-Castro Multi-Exponential Function .................................. 14 Table 2.4: The 7-Parameter Rogers-Castro Multi-Exponential Function used to Fit in- and Out-Migration Rates from the 2012 PHC ................................................................. 14 Table 3.1: Projected Population Growth Rate for Tanzania, Tanzania Mainland and Tanzania Zanzibar: 2013 – 2035 .............................................................................. 20 Table 3.2: Projected Life Expectancy at Birth for Tanzania, Tanzania Mainland and Tanzania Zanzibar: 2013 – 2035 .............................................................................. 21 Table 3.3: Projected Infant Mortality Rate for Tanzania, Tanzania Mainland and Tanzania Zanzibar: 2013 – 2035.............................................................................................. 22 Table 3.4: Trend in Projected Total Fertility Rate for Tanzania, Tanzania Mainland and Tanzania Zanzibar: 2013 – 2035 .............................................................................. 23 Table 3.5: Summary of Selected Demographic Indicators; Tanzania: 2013 – 2035 .................... 24 v Table 3.6: Summary of Selected Demographic Indicators; Tanzania Mainland: 2013 – 2035 .... 26 Table 3.7: Summary of Selected Demographic Indicators; Tanzania Zanzibar: 2013 – 2035 ..... 28 List of Figures Figure 2.1: The process used to Prepare Projections based on the 2012 PHC ................................ 6 List of Maps Map 3.1: Percentage Distribution of Children below Age One by Region: Population Projections 2025....................................................................................................... 31 Map 3.2: Percentage Distribution of Children Aged 0 to 4 Years by Region: Population Projections 2025....................................................................................................... 32 Map 3.3: Percentage Distribution of Population Aged 7 to 13 Years by Region: Population Projections 2025 ..................................................................................... 33 Map 3.4: Percentage Distribution of Population Aged 15 to 24 Years by Region: Population Projections 2025 ..................................................................................... 34 Map 3.5: Percentage Distribution of Population Aged 15 to 35 Years by Region: Population Projections 2025 ..................................................................................... 35 Map 3.6: Percentage Distribution of Female Population Aged 15 to 49 Years by Region: Population Projections 2025 ..................................................................................... 36 Map 3.7: Percentage Distribution of Population Aged 15 to 64 Years by Region: Population Projections 2025 ..................................................................................... 37 Map 3.8: Percentage Distribution of Population Aged 60 Years and Above by Region: Population Projections 2025 ..................................................................................... 38 Map 3.9: Percentage Distribution of Population Aged 65 Years and Above by Region: Population Projections 2025 ..................................................................................... 39 Map 3.10: Percentage Distribution of Children below Age One by Region: Population Projections 2030....................................................................................................... 41 Map 3.11: Percentage Distribution of Children Aged 0 to 4 Years by Region: Population Projections 2030....................................................................................................... 42 Map 3.12: Percentage Distribution of Population Aged 7 to 13 Years by Region: Population Projections 2030 ..................................................................................... 43 vi Map 3.13: Percentage Distribution of Population Aged 15 to 24 Years by Region: Population Projections 2030 ..................................................................................... 44 Map 3.14: Percentage Distribution of Population Aged 15 to 35 Years by Region: Population Projections 2030 ..................................................................................... 45 Map 3.15: Percentage Distribution of Female Population Aged 15 to 49 Years by Region: Population Projections 2030 ..................................................................................... 46 Map 3.16: Percentage Distribution of Population Aged 15 to 64 Years by Region: Population Projections 2030 ..................................................................................... 47 Map 3.17: Percentage Distribution of Population Aged 60 Years and above by Region: Population Projections 2030 ..................................................................................... 47 Map 3.18: Percentage Distribution of Population Aged 65 Years and above by Region: Population Projections 2030 ..................................................................................... 49 List of Statistical Tables Table A.1: Tanzania: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2013 - 2015................................................................................................ 51 Table A.2: Tanzania: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2016 - 2018................................................................................................ 53 Table A.3: Tanzania: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2019 - 2021................................................................................................ 55 Table A.4: Tanzania: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2022 - 2024................................................................................................ 57 Table A.5: Tanzania: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2025 - 2027................................................................................................ 59 Table A.6: Tanzania: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2028 - 2030................................................................................................ 61 Table A.7: Tanzania: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2031 - 2033................................................................................................ 63 Table A.8: Tanzania: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2034 - 2035................................................................................................ 65 Table B.1: Tanzania Mainland: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2013 - 2015 ............................................................................ 67 vii Table B.2: Tanzania Mainland: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2016 - 2018 ............................................................................ 69 Table B.3: Tanzania Mainland: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2019 - 2021 ............................................................................ 71 Table B.4: Tanzania Mainland: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2022 - 2024 ............................................................................ 73 Table B.5: Tanzania Mainland: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2025 - 2027 ............................................................................ 75 Table B.6: Tanzania Mainland: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2028 - 2030 ............................................................................ 77 Table B.7: Tanzania Mainland: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2031 - 2033 ............................................................................ 79 Table B.8: Tanzania Mainland: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2034 - 2035 ............................................................................ 81 Table C.1: Tanzania Zanzibar: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2013 - 2015 ................................................................................... 83 Table C.2: Tanzania Zanzibar: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2016 - 2018 ................................................................................... 85 Table C.3: Tanzania Zanzibar: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2019 - 2021 ................................................................................... 87 Table C.4: Tanzania Zanzibar: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2022 - 2024 ................................................................................... 89 Table C.5: Tanzania Zanzibar: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2025 - 2027 ................................................................................... 91 Table C.6: Tanzania Zanzibar: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2028 - 2030 ................................................................................... 93 Table C.7: Tanzania Zanzibar: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2031 - 2033 ................................................................................... 95 Table C.8: Tanzania Zanzibar: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2034 - 2035 ................................................................................... 97 viii List of Abbreviations and Acronyms AIDS - Acquired Immuno-Deficiency Syndrome AIM - AIDS Impact Model ARV - Anti-Retroviral ASFR - Age Specific Fertility Rate CBR - Crude Birth Rate CDR - Crude Death Rate DemProj - Demographic Projection Package GR - Growth Rate HIV - Human Immunodeficiency Virus IMR - Infant Mortality Rate LE - Life Expectancy at Birth l5 - Life table survivors to exact age 5 NBS - National Bureau of Statistics NRR - Net Reproduction Rate OCGS - Office of Chief Government Statistician PES - Post-Enumeration Survey PHC - Population and Housing Census SDGs - Sustainable Development Goals TDHS - Tanzania Demographic and Health Survey TFR - Total Fertility Rate TSMP - Tanzania Statistical Master Plan U5MR - Under Five Mortality Rate UNFPA - United Nations Population Fund USAID - United States Agency for International Development ZPRP - Zanzibar Poverty Reduction Plan e0 - Life Expectancy at Birth 1 0 q - Infant mortality 4 1 q - Child Mortality q - Under-Five Mortality 5 0 ix Chapter One Introduction 1.1 Background The 2012 Population and Housing Census was the fifth to be undertaken after the Union of Tanganyika and Zanzibar in 1964, the Union that gave birth to the United Republic of Tanzania. The census was carried out on 26th August, 2012 with the main objective of providing accurate and reliable population data to the government and other users. Censuses provide up-to-date and reliable data that are essential for the formulation of realistic development plans and making informed decisions for socio-economic development. Censuses are among most important sources of demographic and socio-economic data in the country for the preparation, monitoring and evaluation of social and economic development policies and programmes such as the 2025 Tanzania Development Vision and the Zanzibar Poverty Reduction Plan (ZPRP). Likewise, census data with other information from administrative sources and surveys are of paramount importance in evaluating and monitoring international development programmes like the 2030 Sustainable Development Goals (SDGs) and Africa Agenda of 2063. Evaluation of the quality of the census data is often necessary to determine whether data collection was properly done and that the data are of acceptable quality. Evaluation and quality control measures were undertaken at pre-enumeration, enumeration and post-enumeration stages. At each stage, quality standards were established and implemented to minimize errors in the population and housing census data. In this report, the methodology used to make projections based on the 2012 Population and Housing Census data is presented together with the projected population for the period of 2013 to 2035 at National level, Tanzania Mainland and Tanzania Zanzibar. It is anticipated that the projections in this report will be used by data users for monitoring and evaluating progress made towards achieving 2025 Tanzania Development Vision, the 2020 Zanzibar Development Vision and other national and international development agenda. Population can be projected by interpolation or extrapolation. If the desired date is between census dates, then an interpolation method is the desired one. Projected population is obtained by interpolating between the two censuses. Interpolation can be made using either the same cohort or the same age groups in the census. 1 Cohort interpolation is advisable if the age information is reliable. Moreover, this technique is recommended if data are available by single years for populations that have actual and significant age fluctuations. In addition, information on annual intercensal births is needed for determining the number of persons born during the inter-censal period (i.e. those who were only enumerated in the preceding census). Interpolation, using the same age groups in each census, is frequently used in developing countries including Tanzania, since information on single years is unreliable and the age structure usually does not have actual fluctuations. The procedure is acceptable particularly when the interpolation date is close to the census date. The interpolation can be made either linearly or exponentially. If the desired date is close to one of the census dates, both possibilities give similar results. However, if the interpolation date is several years from the census date, linear interpolation produces higher values than exponential interpolation. In most cases, the exponential interpolation is more suitable than the linear interpolation. Another procedure for adjusting the population is to shift or move the population from a given date (for instance, a census date) to another date (for instance midyear). If the total population for the desired date is available, extrapolation can be used. Another possibility is to use the levels of mortality, fertility and migration to estimate a population growth rate, and then use the growth rate to calculate the total population at the desired date. Once the new total has been calculated, the age structure can be adjusted proportionately to the new total. The base population used for projections was based on extrapolated population taking into consideration the levels of mortality, fertility, migration and HIV/AIDS. Nevertheless, the most commonly used method for projecting populations is the cohort component method, which projects each age and sex cohort over time based on components of growth. Annual births create new cohorts, while existing cohorts are decreased by mortality and either increased or decreased by migration (US Census Bureau 2013). In this report, cohort component method was used to project population and is briefly discussed below. 1.3 The Population Projection Software The population projection software used for this projection are Rural Urban Projection Program (RUP) that was developed by US Census Bureau and Spectrum system which is a computer package that analyses existing information to determine the future consequence of today’s development programmes and policies. 2 The RUP program has features that allow a considerable amount of flexibility for specifying projected trends in fertility, mortality and migration. The software also includes a wealth of output options that allow a detailed examination of results. Some of these features are summarized below: i. The projection is performed using single years of age; ii. The projection is performed year by year; iii. Input data for the population and components can be provided in either single year or 5-year age groups; iv. The program accepts mortality and fertility rates as inputs and it also allows the input of numbers of births, deaths and/or migrants; and v. The program provides output of a wide variety of demographic measures for any specified year of the projection. These outputs include: a. Population by sex and age (single years, 5-year age groups, special groups) and summary measures of age (e.g., percentages, sex ratios, median ages, dependency ratios); b. Summary of vital rates (e.g., crude birth and death rates, life expectancy, infant mortality rates, and total fertility rates); c. Life tables; d. Net numbers of migrants or migration rates by age and sex; e. Number of deaths, by age and sex; and f. Number of births, by age of mother, and age-specific fertility rates. On the other side, Spectrum is a Windows-based system of integrated policy models. The integration is based on Demographic Projection (DemProj), which is used to create population projections that support many of the calculations in other components, such as AIDS Impact Model (AIM). The DemProj is a computer program for making population projections for countries or regions. The program requires information on the number of people by age and sex in the base year, as well as current year data and future assumptions about the Total Fertility Rate (TFR), the age distribution of fertility, life expectancy at birth by sex, the most appropriate model life table, and the magnitude and pattern of international migration. This information is used to project the size of the future population by age and sex for many years into the future. If desired, the projection can also be used to estimate the size of the urban and rural populations. Linking DemProj with other modules in the Spectrum makes it possible to examine the demographic impact of AIDS. 3 Generaly, projection can be made for one or two areas. If two areas are projected, the program can calculate a third area as the sum of the two areas (e.g., total = rural + urban) or the difference (e.g., urban = total - rural). Flexibility of these programmes have a clear advantage of allowing a demographer to create a projection model that accurately reflects the demographic situation in a country and making maximum use of available data in as close as possible to its original form. However, this flexibility comes at a price as it places a burden on the demographer to decide on the best way to model the situation (since the program does not limit the options) and to provide accurate data for all the inputs required to run the program. 4 Chapter Two Methodology 2.1 Introduction Population projections for regions, Tanzania Mainland and Tanzania Zanzibar, based on the 2012 Population and Housing Census (PHC), have been made using a cohort-component model. An adjusted population taken from the 2012 PHC, disaggregated by age in single years and sex, has been projected one year at a time, with births, net internal migrants and net international migrants added each year, and deaths subtracted each year from 2012 to 2035. Tanzania’s national projection is the sum of the Tanzania Mainland and Tanzania Zanzibar projections. Regional projections have been controlled to the Tanzania Mainland and Tanzania Zanzibar projections, ensuring complete consistency between the regional, Tanzania Mainland and Tanzania Zanzibar, and Tanzania projections. The process, working from projection inputs to a larger geographical area and regional cohort-component projections, to an aggregated projection for Tanzania and to controlled, mathematically extrapolated projected populations with age-sex detail is shown in Figure 2.1. The region-specific, Tanzania Mainland, and Tanzania Zanzibar cohort-component projections are central to the process. For each area, population with age and sex details taken from the 2012 Population and Housing Census (PHC) is adjusted then projected one year at a time from 2012 to 2035 using assumptions about the components of growth – fertility, mortality, internal and international migration. Administrative regions as they are defined in 2017 rather than those existed in 2012, at the time of the 2012 PHC, have been used for projection. Specifically, separate projections have been prepared for Songwe and for the new Mbeya region, based on new tabulations of population and migration from the 2012 PHC but assumed shared fertility and mortality. 5 Figure 2. 1: The process used to Prepare Projections based on the 2012 PHC Tanzania projected population by age and sex Base year population Mortality levels, patterns, assumed trends Internal migration levels, patterns, assumed trends Zanzibar projected population by age and sex Mainland projected population by age and sex Fertility levels, patterns, assumed trends Region 01 projected population by age and sex Region 02 projected population by age and sex ... Region 26 projected population by age and sex Region 51 projected population by age and sex … Region 55 projected population by age and sex International migration levels, patterns, assumed trends Preliminary district-level projected population totals District-level population totals for 2002 and 2012 Controlled district-level projected populations, with age-sex detail District-level age detail from the 2012 PHC 2.2 Base Year Population The projected population of Tanzania Mainland and Tanzania Zanzibar is based on adjusted 2012 age-sex-specific populations. Population under age 10 was evaluated by comparing the reported census counts for ages 0-4 and 5-9 with estimated population consistent with census-based fertility and mortality. This was done by applying the BASEPOP.XLS spreadsheet. The following inputs were used to obtain the base population: i. Reported population distribution by five-year age-groups and sex obtained from the 2012 Population and Housing Census; ii. Sex ratio at birth (male births per 100 female births) was assumed to be 103; iii. Mortality data at two points in time that is earlier (2002) and later (2012); these are nLx values for males and females; iv. Earlier and later date fertility data were Age Specific Fertility Rates (ASFRs) from the 2004-05 and 2010 Tanzania Demographic and Health Surveys (DHS). This is due to the fact that TDHS provides more reliable fertility information compared with the PHC. Furthermore, TDHS fertility data collection is based on birth history of individual women. The next step was to move the population to a desired point in time (mid-year of 2012) using population growth rate based on estimated fertility and mortality. This provided the adjusted population estimates by using MOVEPOP spreadsheets. During this process, the National 6 projections were adjusted to accommodate five (5) percent of underenumerated population during the 2012 PHC undertaking as revealed by the Post-Enumeration Survey (PES). The inputs used in the MOVEPOP were: i. Adjusted population disaggregated by five-year age groups and sex generated from BASEPOP.XLS spreadsheets; ii. Age-Specific Central Death Rates - M(x) – these estimates were generated from LTPOPDTH.XLS spreadsheets; and iii. Age-Specific Fertility Rate - the same as those applied in BASEPOP.XLS spreadsheets. Each area-specific population under age 5, and population ages 5 to 9 for some areas were adjusted upward to be consistent with fertility and mortality. Population ages 10 and above was evaluated for possible age heaping and, when found, smoothed using Arriaga’s “light” smoothing technique. Care was taken not to smooth out distortions in age structure possibly attributable to in- or outmigration. 2.3 Fertility Assumptions and Estimation 2.3.1 Introduction Estimation of fertility levels for Tanzania and its regions from the 2012 PHC is based on the number of live births by age of mother in the 12 months preceding the census and the number of children ever born by age of mother reported by women aged 15-49 years. However, given the limitations of the 2012 PHC data, several indirect methods were used to estimate adjusted fertility indicators to evaluate the direct estimates of age-specific and total fertility rates based on births in the year preceding the census. Apart from the PHC data, projections are based on data from 200405, 2010 and 2015-16 TDHS. In general, the PHC data and all three demographic surveys have shown that fertility, as one of the important components of population change, is slowly decreasing in Tanzania. 2.3.2 Fertility Estimation Fertility and age-specific fertility were indirectly estimated from 2002 and 2012 PHC data on children ever born and the number of births in the twelve months preceding each census using Arriaga’s technique1. Arriaga estimates at the national level were adjusted to be consistent with a series of ten-year average total fertility rates from the 2004, 2010 and 2015/16 DHS. 1 Ibid. (209-210 and Appendix IV-7). 7 Trend in the fertility level (total fertility rate - TFR) was estimated for areas and most regions by fitting a logistic curve to adjusted Arriaga estimates from the 2002 and 2012 PHCs using TFRLGST.XLS (Table 2.1). The logistic curve is well-suited to modelling fertility decline for most regions in Tanzania because it allows for a relatively slow initial decline in TFR, followed by a steeper decline, finally, by a slower decline as TFR approaches a lower asymptote, or bound (set at 2 births per woman for all areas). Table 2.1: Fertility Assumptions for Tanzania, Tanzania Mainland and Tanzania Zanzibar: 2012 – 2035 2.4 Year Tanzania Tanzania Mainland Tanzania Zanzibar 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 5.40 5.35 5.29 5.24 5.19 5.13 5.08 5.02 4.97 4.91 4.85 4.79 4.74 4.68 4.62 4.56 4.50 4.44 4.38 4.32 4.26 4.20 4.14 4.08 5.40 5.35 5.29 5.24 5.19 5.13 5.08 5.02 4.97 4.91 4.85 4.79 4.73 4.68 4.62 4.56 4.50 4.44 4.38 4.32 4.26 4.20 4.14 4.08 4.99 4.83 4.68 4.52 4.37 4.21 4.06 3.92 3.77 3.64 3.50 3.38 3.26 3.15 3.04 2.95 2.86 2.78 2.70 2.63 2.57 2.51 2.46 2.41 Mortality 2.4.1 Introduction Population projections are affected by several factors including Infant Mortality Rate (IMR), Under Five Mortality Rate (U5MR), Crude Death Rate (CDR) and Life expectancy at birth (e0). Application of any index depends mainly on the availability of information or the requirement of models to be used in the exercise. In all mortality indices, life expectancy at birth is considered to be more appropriate as an input for population projections. 8 2.4.2 Mortality Estimation Assumed mortality levels and trends for 26 regions of Tanzania Mainland were derived using a four-step process. However, a three-step process was used for five regions of Tanzania Zanzibar. For Tanzania Mainland, mortality (probabilities of dying at ages 0 and 1 to 4, 1q0 and 4q1) were taken from the 2004, 2010 and 2015/16 TDHSs. AIDS-specific mortality was estimated using historical demographic data from censuses and TDHSs plus epidemiological modeling based on HIV sentinel surveillance and population survey data (the AIM and DemProj modules in Spectrum, version 5.563, assuming United Nations General model mortality2). Male and female probabilities of dying in childhood from the TDHSs were converted to age-specific central death rates (M(x)s). Adjusted AIDS M(x)s3 were subtracted to get deaths without-AIDS M(x)s, and then were reconverted into probabilities of dying, and there after were converted into life table survivors to exact age 5 (l5), assuming Coale-Demeny North model mortality4. The remainder of life table without-AIDS corresponding to each l5 was calculated, using North model mortality, associated life expectancies at birth (e0) were extracted, and sex-specific trends in e0 were calculated by fitting a logistic curve to the without-AIDS e0s. Lower asymptotes of 25 years were assumed for both males and females; upper asymptotes of 82.56 and 88.40 years were assumed for males and females respectively. Age-and-sex-specific M(x)s without–AIDS were calculated for each year from 2012 through 2035 using 2012 life table M(x)s, a set of M(x)s corresponding the life expectancy at birth (e0) values of 82.56 and 88.40 years for males and females respectively, and the Rural-Urban Projections program (RUP). Exponential growth rates based on adjusted age-and-sex-specific M(x)s for years 2002 and 2012 were calculated. The negative growth rates were used to calculate declining age-specific AIDS M(x)s for each year from 2013 through 2035. These age-sex-specific AIDS M(x)s were added to without-AIDS M(x)s to yield with-AIDS M(x)s for each year of the projection horizon. Life tables without-AIDS for regions were derived using published life table probabilities indirectly estimated from child survivorship data from the 2012 PHC5. Region-and-sex-specific life 2 Spectrum and its modules (Avenir Health 2016) are documented online. For United Nations General and other model life table systems, see United Nations (1982). 3 Adjusted AIDS m(x)s were calculated from Spectrum output, converting mortality spanning two calendar years into calendar-year (or Lexis square) deaths and mortality. The adjustment also corrected for errors at age zero, age 4, and at ages 80+. The workbook used to extract the adjusted AIDS mortality from Spectrum ver. 5.441 output was written by Peter Johnson, U.S. Census Bureau. 4 Coale and Demeny (1966). See, also, Arriaga (1994: 109). 5 Brass’ child survivorship technique was used in establishing levels of under-5 mortality. See Brass and others (1968), Palloni and Heligman (1985), United Nations (1983: 73-80). 9 expectancies at birth were projected to 2035 as a group, with each regional life expectancy at birth (e0) following the e0 trend of the Tanzania Mainland6. Age-and-sex-specific M(x)s without-AIDS were calculated for each year from 2013 to 2035 using the 2012 M(x) pattern, a set of M(x)s corresponding the e0 values of 82.56 and 88.40 years, and the RUP program. Regional AIDS M(x)s were derived by adjusting Tanzania Mainland AIDS M(x)s upward or downward by the ratio of regional male and female HIV prevalence to Tanzania Mainland male and female HIV prevalence. This assumes that HIV prevalence is a rough proxy for mortality with AIDS. Although the assumption is weak, it provides acceptable working estimates of age-specific mortality with AIDS which is not available from either sentinel surveillance or population-based surveys. The process for calculating mortality in Tanzania Zanzibar was simpler because it was without AIDS. Life tables for Tanzania Zanzibar as a whole were constructed using TDHS under-5 mortality and North model mortality at ages 5 and above. Tanzania Zanzibar regional mortality was indirectly estimated using child survivorship data from the 2002 and 2012 PHCs to estimate under5 mortality and North model mortality to estimate M(x) series at ages 5 and above. Indirect estimation for both under-5 and ages 5 and above was accepted because this procedure yielded plausible estimates of under-5 mortality as well as plausible life expectancies at birth. The decision to calculate without AIDS mortality was based on the following: i. The AIDS epidemic in Tanzania Zanzibar is “concentrated” among well-defined subpopulations (e.g., drug users and sex workers) while the epidemic on Tanzania Mainland is “generalized” – more widespread. The epidemiologic models used to estimate age-sex distributions of those infected, those with AIDS, and those dying of AIDS differ between the two types of epidemics; ii. Prevalence level in Tanzania Zanzibar is equivalent to a generalized epidemic with overall prevalence of about one percent. However, the number of AIDS deaths in Tanzania Zanzibar is very small; and iii. Tanzania Zanzibar does not have approved ANC sentinel surveillance site data that can be used for epidemiological modeling. Assumed life expectancies at birth for Tanzania Mainland and Tanzania Zanzibar are shown in Table 2.2. 6 The Census Bureau’s Subnational Projections Toolkit workbook PROJe032.xls was used. 10 2.4.3 Assumptions Assumptions underlying mortality projections have been made in the context of reported stabilizing trend and expected further decline in HIV prevalence, increasing availability of numerous HIV prevention measures and increased access to Anti-Retroviral (ARV) drugs. These developments are expected to favourably alter the HIV and AIDS epidemiological profile of Tanzania, as infection rates will reduce, while more HIV-infected persons will be living longer. In view of this, drawing from declining mortality rate and improvements made in the pre-HIV and AIDS era, life expectancy at birth is expected to improve, albeit modestly during the projection period. Assumptions in the Context of AIDS The life expectancy at birth and the adjusted age-specific death rates for the base year were derived from the 2012 PHC data for males and females using LTPOPDTH spreadsheet in population analysis spreadsheets. Determination of the rate of improvement in life expectancy at birth during the projection period (2013-2035) was guided by analysis of the rate of improvement during the pre-HIV and AIDS era. The set of age-specific death rates derived from the 2012 PHC data was used as a baseline input because it reflects the mortality effect of AIDS on the population and is consistent with the base year life expectancy at birth. Projection of the age-specific death rates corresponding to each projected life expectancy at birth was done using the base year age-specific death rates and the MATCH spreadsheet in MORTPAK package. The purpose of this procedure is to maintain Tanzania’s empirical age pattern of mortality. The empirical and projected age-specific schedules of mortality were then keyed into RUP program, and the Coale-Demeny North separation factors specified to generate a series of life tables were used in projecting the population. Despite a large amount of available Census data for mortality estimates, generally in the developing world, it is known that mortality information derived from censuses has all along been inadequate. The most reliable data for mortality estimates are obtained from registration of deaths for countries where vital registration systems are in place. However, Tanzania, like many countries in subSaharan Africa, does not have a comprehensive vital registration system that provides quality information for reliable mortality estimates. Errors in the number of deaths reported through the 2012 PHC in Tanzania were due to: i. Reluctance of respondents to talk about recent dead relatives; ii. Inability of respondents to remember dates of deaths; iii. Mis-interpretation of the past one year to be the same as the previous calendar year; and iv. Break-up of a household as a result of death of the head of the household. 11 To get desired mortality levels, the quality of data was evaluated using the Growth Balance Technique and the Preston-Coale Technique. The growth balance technique estimates the completeness of reported deaths of age 5 and over by comparing the age distribution of deaths to get the age distribution of population. It provides information on the quality of death data and allows an adjustment in cases where the population meets the assumptions. For the 2012 PHC, adjustment of the data was done by using the LTPOPDTH.XLS spreadsheet for males and females to generate central mortality rates and life expectancy at birth. Life expectancy at birth was projected for the years from 2013 to 2035 using E0PRJ.XLS spreadsheet. The mortality assumptions for Tanzania, Tanzania Mainland and Tanzania Zanzibar are summarized in the following table. Table 2.2: Mortality Assumptions: Life Expectancy at Birth for Tanzania, Tanzania Mainland and Tanzania Zanzibar: 2012 – 2035 Year Tanzania Tanzania Mainland Tanzania Zanzibar Male Female Male Female Male Female 2012 59.67 63.61 59.57 63.51 63.25 67.00 2013 60.51 64.83 60.42 64.73 63.59 67.64 2014 61.35 66.03 61.27 65.92 63.93 68.27 2015 62.17 67.20 62.10 67.08 64.27 68.88 2016 62.98 68.34 62.92 68.21 64.61 69.49 2017 63.77 69.45 63.72 69.32 64.94 70.08 2018 64.54 70.52 64.50 70.38 65.27 70.67 2019 65.30 71.55 65.26 71.41 65.59 71.24 2020 66.03 72.54 66.01 72.40 65.91 71.80 2021 66.75 73.49 66.74 73.35 66.23 72.35 2022 67.45 74.41 67.44 74.26 66.54 72.89 2023 68.13 75.28 68.13 75.14 66.85 73.41 2024 68.79 76.11 68.79 75.97 67.16 73.92 2025 69.42 76.90 69.44 76.76 67.46 74.42 2026 70.04 77.65 70.06 77.51 67.76 74.91 2027 70.63 78.36 70.66 78.22 68.06 75.39 2028 71.21 79.04 71.24 78.90 68.35 75.85 2029 71.76 79.67 71.80 79.54 68.63 76.30 2030 72.29 80.27 72.33 80.14 68.92 76.73 2031 72.80 80.83 72.85 80.70 69.19 77.16 2032 73.29 81.36 73.34 81.24 69.47 77.57 2033 73.76 81.86 73.81 81.74 69.74 77.97 2034 74.21 82.32 74.27 82.20 70.01 78.36 2035 74.65 82.76 74.70 82.64 70.27 78.74 12 2.5 Migration 2.5.1 Introduction Inclusion of migration assumptions in population projections is important because it is one of the major components of population dynamics. There are two types of migration data that are considered in population projections (i.e. internal migration and international migration). Internal migration data are used in regional or district population projections because they do not change the total population of the country. On the other hand, international migration data are used at national level population projections because they involve crossing national boundaries that change the population of the respective countries. Generally, migration data from population censuses are obtained from questions on the place of birth and residence. When data on place of birth and residence are lacking, data of foreign-born population may be valuable for measuring migration. Whereas the measurement of the volume of immigrants can be obtained from census data, the volume of emigrants cannot be captured in the census. Due to lack of emigration data in the census, data from Immigration Department of the Ministry of Home Affairs were used for the projection. 2.5.1 Internal Migration Assumptions Internal migration for Tanzania, Tanzania Mainland, Tanzania Zanzibar and regions were derived from the 2012 PHC question on place of residence 12 months prior to the census. Age patterns of in-migrants and out-migrants were estimated in four steps as follows: - i. Denominator populations for the 12 months preceding the census were calculated from tabulated population of migrants and non-migrants, excluding residents previously residing abroad by single years of age in 2011 and 2012. Average populations were used to place the denominator populations six months prior to the census. Age-and-sex-specific migration rates for five-year age groups and for population under age 5 for which data were available were calculated using the average regional populations in 2011 and 2012 as denominators. Five-year migration rates rather than single-year rates were calculated because single-year rates were too erratic. ii. A cubic spline function was used to extrapolate migration rates to age zero and to interpolate from five-year to single-year average rates. The resulting single-year migration rates were much smoother than the migration rates calculated from the census raw data, but they still exhibited unacceptable undulations beyond 15 years to mid-twenties in some 13 regions. Rates were summed up to generate what Rogers and Castro (1981) call a migraproduction rate (analogous to a total fertility rate, but summing single-age migration rates for all ages) to age 807. The single-age migration rates to age 80 were then normalized by dividing each age-specific migration rate by the sex-specific in- or out-migration migraproduction rate. iii. Seven-parameter Rogers-Castro curves were fitted to the smoothed-and-normalized agespecific migration rates. The seven-parameter variant of the 13-parameter Rogers-Castro function is well-suited for modeling age patterns of migration lacking a pronounced retirement peak. That said, each region-sex-and-migration flow-specific age pattern was inspected after cubic-spline fitting and after re-fitting with the Rogers-Castro function to check whether a retirement peak was obvious, but no case was found. Tables 2.3 and 2.4 elaborate the formula used. Table 2.3: The 13-Parameter Rogers-Castro Multi-Exponential Function M(x) = a1*exp(-α1*x) Pre-labour force segment of the curve +a2*exp{-α2*(x-μ2)-exp[-λ2*(x-μ2)]} Labour force peak +a3*exp{-α3*(x-μ3)-exp[-λ3*(x-μ3)]} Retirement peak +a4*exp(λ4*x) Post-retirement segment +c Underlying level of migration Table 2.4: The 7-Parameter Rogers-Castro Multi-Exponential Function used to Fit in- and Out-Migration Rates from the 2012 PHC M(x) = a1*exp(-α1*x) Pre-labor force segment of the curve +a2*exp{-α2*(x-μ2)-exp[-λ2*(x-μ2)]} Labor force peak +c Underlying level of migration iv. Each fitted Rogers-Castro function was compared with the cubic spline fitting, where male and female fitted rates were compared especially under age 10. If the cubic spline is fitted, normalized census rates appeared as good at the youngest ages as the Rogers-Castro predicted values. Whereas the location of the census labour force peak differed slightly from the Rogers-Castro model’s labour force peak model age, the cubic spline-fitted census rates were retained for that part of the age range and the Rogers-Castro predicted values were accepted for the post-labour force peak ages. 7 Rogers, Little and Raymer (2010:27-28) describe the process of fitting age patterns of migration using the process adopted for the 2012 PHC. 14 Looking at the age pattern of migration were found to be common because of misreporting at older ages. If male and female rates at the youngest ages were different, or if rates for one sex at all ages were much larger than those for the other sex, substitution to make the sex-specific rates comparable was considered. For the majority of regions and migration flows, a combination of census and Rogers-Castro rates provided an acceptable age pattern of migration. Finally, the resulting four set of rates for each region for both male and female in- and outmigration rates were converted to migrant numbers by multiplying single-age rates to adjusted single-age population in 2012, using RUP. For all regions, it was assumed that the number of migrants would remain constant over the projection period. 2.5.1 International Migration Assumptions Net international migration, other than refugee movements, was considered negligible. This does not mean that international migration was ignored (and, indeed, census tabulations of residence 12 months prior to the 2012 PHC indicates some in-migration to most regions). However, the census provides no direct estimates of out-migration to counterbalance the reported in-migration. Estimates of in-migration from the census are small and indirect procedures for estimating net intercensal international migration risk confounding migration with differences in census undercount. It was, therefore, decided to avoid possible introduction of additional error associated with mis-specification of non-refugee international migration and to limit projection assumptions to, instead, refugee flows. Limited refugee data were available from the United Nations High Commission for Refugees up to the end of 2015 and from the Immigration Department of the Ministry of Home Affairs up to the end of 20168. Annual arrivals and departures from the Ministry were used to estimate annual refugee flows up to 2016, and as the basis for assuming refugee trend inflows up to 2020. The agesex distribution of refugees was based on age-sex distribution of the number of refugees in the country in 2015. Refugee flows into or out of Tanzania were allocated to Kigoma, Kagera and Tabora regions based on the distribution of refugees in these regions. The process of receiving and vetting of new arrivals from neighbouring countries, and the movement of refugees from Kigoma region camps to other areas over time was considered. The National projection as the sum of Tanzania Mainland and Tanzania Zanzibar projections, controlled regional projections to ensure consistency with Tanzania Mainland and Zanzibar cohortcomponent projections. The projections for Tanzania Mainland and Tanzania Zanzibar were 8 UNHCR (2014, 2015, 2017), Ministry of Home Affairs (2017). 15 computed to form single-age-and-sex distributions on births and deathsmeasures, internal and international migrants for each year of the projection9. The Tanzania Mainland projection was used as a control for the 26 Tanzania Mainland regional projections and Tanzania Zanzibar was used as a control for the five Tanzania Zanzibar regional projections. Projected regional populations in single years of age and by sex were adjusted to the higher area control projected population using progressive rounding to eliminate any differences. Regional births, deaths, and internal migrants were aligned to match the higher area births, deaths, and international migrants, though the process for international migrants is trivial. Net internal migration across regions was adjusted to be zero for each age-sex group in each year by the same adjustment process10. 2.6 HIV/AIDS Assumptions 2.6.1 Introduction HIV/AIDS cases were clinically diagnosed and reported for the first time in 1983 in Kagera Region. By 1986, all regions of Tanzania Mainland had reported HIV/AIDS cases. According to the HIV and Malaria Survey 2011/2012, 5 percent of Tanzanian adults aged 15-49 are HIVpositive. The HIV prevalence is higher in urban areas than in rural areas (7 percent versus 4 percent), and is higher in Tanzania Mainland (5 percent) than in Tanzania Zanzibar (1 percent). 2.6.2 HIV/AIDs Assumptions Assumed mortality levels and trends for Tanzania Mainland and 26 regions of Tanzania Mainland were derived using a four-step process while a three-step process was used for Tanzania Zanzibar and its five regions. In Tanzania Mainland, mortality (probabilities of dying at ages 0 (1q0) and 1 to 4, (4q1)) were taken from the 2004-05, 2010 and 2015-16 TDHSs. AIDS-specific mortality was estimated using historical demographic data (censuses and TDHSs) plus epidemiological modeling based on HIV sentinel surveillance and population survey data (the AIM and DemProj modules in Spectrum, version 5.441, assuming United Nations General model mortality11). Male and female probabilities of dying in childhood from the TDHSs were converted to age-specific central death rates (M(x)s) 9 The U.S. Census Bureau program RUPAGG was used for the aggregation of the Mainland and Zanzibar projections. The process was implemented using the U.S. Census Bureau’s Subnational Projections Toolkit workbook RUPSubAdj.xlsm. 11 Spectrum and its modules (Avenir Health 2016) are documented online. For United Nations General and other model life table systems, see United Nations (1982). 10 16 and adjusted AIDS M(x)s12 were subtracted to get without-AIDS M(x)s. These were reconverted into probabilities of dying and were then converted into life table survivors to exact age 5 (l5), using Coale-Demeny North model mortality13. The remainder of a “without-AIDS” life table corresponding to each l5 was calculated, again using North model mortality, associated life expectancies at birth (e0) were extracted, and sex-specific trends in e0 were calculated by fitting a logistic curve to the without-AIDS e0s. Lower asymptotes of 25 years were assumed for both males and females and upper asymptotes of 82.56 and 88.40 years were assumed for males and females, respectively. Next, without-AIDS age-and-sex-specific M(x)s were calculated for each year from 2012 through 2035 using 2012 life table M(x)s, a set of M(x)s corresponding the e0 values of 82.56 and 88.40 years, and the U.S. Census Bureau’s Rural-urban Projections program (RUP). Next, exponential growth rates based on adjusted age-and-sex-specific M(x)s for years 2007 and 2012 were calculated and these (negative) growth rates were used to calculate declining agespecific AIDS M(x)s for each year from 2013 through 2035. These age-sex-specific AIDS M(x)s were added to the without-AIDS M(x)s to yield with-AIDS M(x)s for each year of the projection horizon. For Tanzania Mainland regions, without-AIDS life tables were derived the same way as the Tanzania Mainland life tables, but using published life table probabilities indirectly estimated from 2012 PHC14 child survivorship data. Regional life expectancies at birth were separately projected to 2035, with each regional e0 following the e0 trend of the Tanzania Mainland 15. Without-AIDS age-and-sex-specific M(x)s were calculated for each year from 2012 through 2035 using the 2012 M(x) pattern, a set of M(x)s corresponding the e0 values of 82.56 and 88.40 years, and the RUP program. Regional AIDS M(x)s were derived by adjusting Tanzania Mainland AIDS M(x)s upward or downward by the ratio of regional male and female HIV prevalence to Tanzania Mainland male and female HIV prevalence. This assumes that HIV prevalence is a rough proxy for AIDS mortality. The assumption is arguably weak, but provides acceptable working estimates of age-specific AIDS 12 Adjusted AIDS m(x)s were calculated from Spectrum output, converting mortality spanning two calendar years into calendar-year (or Lexis square) deaths and mortality. The adjustment also corrected for errors at age zero, age 4, and at ages 80+. The workbook used to extract the adjusted AIDS mortality from Spectrum ver. 5.441 output was written by Peter Johnson, U.S. Census Bureau. 13 Coale and Demeny (1966). See, also, Arriaga (1994: 109). Brass’ child survivorship technique was used in establishing levels of under-5 mortality. See Brass and others (1968), Palloni and Heligman (1985), United Nations (1983: 73-80). 15 The Census Bureau’s Subnational Projections Toolkit workbook PROJe032.xls was used. 14 17 mortality unavailable from either sentinel surveillance or population-based surveys. Again, exponential growth rates based on adjusted age-and-sex-specific M(x)s for years 2007 and 2012 were calculated and these (negative) growth rates were used to calculate declining age-specific AIDS M(x)s for each year from 2012 through 2035. These age-sex-specific AIDS M(x)s were added to the without-AIDS M(x)s to yield with-AIDS M(x)s for each year of the projection horizon. The with-AIDS M(x)s were then used to project Tanzania Mainland and its regional populations forward from 2013 to 2035. For Tanzania Zanzibar, the process was simpler because Tanzania Zanzibar mortality was not modeled first without-AIDS and then with-AIDS. Life tables for Tanzania Zanzibar as a whole were constructed using TDHS under-5 mortality and North model mortality at ages 5 and above. Tanzania Zanzibar regional mortality was indirectly estimated using child survivorship data from the 2002 and 2012 PHCs to estimate under-5 mortality and North model mortality to estimate the M(x) series at ages 5 and above. Indirect estimation for both under-5 and ages 5 and above was accepted because this procedure yielded plausible estimates of under-5 mortality as well as plausible life expectancies at birth. The decision to adopt a different procedure for Tanzania Zanzibar was made after considerable discussions. In the end, it was decided that the nature of the HIV/AIDS epidemic in Tanzania Zanzibar would not warrant treatment in the same way as for Tanzania Mainland, and a prudent approach to life table construction would be based on an assumption of no AIDS mortality. The decision was based on the following: i. The epidemic in Tanzania Zanzibar is “concentrated” among well-defined subpopulations (e.g., drug users and sex workers) while the epidemic on Tanzania Mainland is “generalized” – more widespread. The epidemiologic models used to estimate age-sex distributions of those infected, those with AIDS, and those dying of AIDS differ between the two types of epidemics; ii. Prevalence level in Tanzania Zanzibar is equivalent to a generalized epidemic with overall prevalence of about one percent. However, the number of AIDS deaths in Tanzania Zanzibar is small (about 50 to 60 per year in a population of about 1.3 million persons) and modeling the AIDS age-sex M(x) pattern could introduce errors into an estimated life table already subject to both processing errors (associated with the imputation of characteristics to household deaths following the census) and estimation errors; 18 iii. Tanzania Zanzibar has not yet approved ANC sentinel surveillance site data that can be used for epidemiological modeling; and iv. The decision to avoid explicit modeling of AIDS mortality for Tanzania Zanzibar is not to avoid recognizing the fact that there are AIDS deaths in Tanzania Zanzibar. The decision simply attempts to avoid modeling the AIDS mortality in a population where the basis for doing so is weak and the possible error to be introduced in doing so is not substantial. 19 Chapter Three Projections 3.1 Introduction Information presented in this chapter includes: projected total population by sex in single and fiveyear age groups as well as a summary of demographic indicators derived by using Spectrum Software. 3.2 Highlights of Population Projections Results This section discusses all demographic indicators for midyear population between 2013 and 2035. 3.2.1 Population Growth The projections show that the Tanzania population growth rate is expected to decrease from 3.1 percent in 2013 (with a population of 46,356,279) to 2.8 percent in 2035 (with a population of 89,204,781). The projected population growth rate for Tanzania Zanzibar is expected to decrease from 3.4 percent in 2013 to 1.9 percent in 2035. The projected population growth rates for Tanzania, Tanzania Mainland and Tanzania Zanzibar are shown in Table 3.1. Table 3.1: Projected Population Growth Rates for Tanzania, Tanzania Mainland and Tanzania Zanzibar: 2013 – 2035 Year Tanzania Tanzania Mainland Tanzania Zanzibar 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 3.1 3.1 3.1 3.2 3.1 3.1 3.1 3.1 3.1 3.0 3.0 3.0 3.0 3.0 2.9 2.9 2.9 2.9 2.8 2.8 2.8 2.8 2.8 3.1 3.1 3.1 3.2 3.1 3.1 3.1 3.1 3.1 3.1 3.0 3.0 3.0 3.0 2.9 2.9 2.9 2.9 2.9 2.8 2.8 2.8 2.8 3.4 3.3 3.3 3.2 3.1 2.9 2.9 2.8 2.7 2.6 2.5 2.4 2.4 2.3 2.2 2.2 2.1 2.1 2.0 2.0 1.9 1.9 1.9 20 3.2.2 Life Expectancy at Birth Life expectancy at birth for Tanzania is expected to increase from 62 years in 2013 to 74 years in 2035 for both sexes which is the same for Tanzania Mainland. Life expectancy at birth for males in Tanzania is expected to increase from 60 years in 2013 to 71 years in 2035 similar to that of Tanzania Mainland, while life expectancy at birth for females will increase from 64 years in 2013 to 77 years in 2035, also the same as Tanzania Mainland. Life expectancy at birth for Tanzania Zanzibar is expected to be slightly higher than that of Tanzania and Tanzania Mainland. For males, the life expectancy at birth is expected to increase from 64 years in 2013 to 70 years in 2035 while the life expectancy at birth for females is also expected to increase from 67 in 2013 to 77 years in 2035. The projected life expectancy at birth for Tanzania, Tanzania Mainland and Tanzania Zanzibar are indicated in Table 3.2. Table 3.2: Projected Life Expectancy at Birth for Tanzania, Tanzania Mainland and Tanzania Zanzibar: 2013 – 2035 Year Tanzania Tanzania Mainland Tanzania Zanzibar Male Female Total Male Female Total Male Female Total 2013 60.2 64.2 62.2 60.1 64.1 62.1 63.5 67.3 65.5 2014 60.7 64.8 62.8 60.6 64.7 62.7 63.7 67.8 65.8 2015 61.2 65.4 63.3 61.1 65.3 63.2 64.0 68.2 66.2 2016 61.6 66.0 63.9 61.6 65.9 63.8 64.3 68.6 66.5 2017 62.2 66.6 64.4 62.1 66.5 64.3 64.6 69.1 66.9 2018 62.7 67.2 65.0 62.6 67.1 64.9 64.9 69.5 67.3 2019 63.2 67.8 65.5 63.1 67.7 65.4 65.2 70.0 67.6 2020 63.7 68.4 66.1 63.6 68.3 66.0 65.4 70.4 68.0 2021 64.2 69.0 66.7 64.2 68.9 66.6 65.7 70.8 68.3 2022 64.8 69.6 67.3 64.7 69.6 67.2 66.0 71.2 68.6 2023 65.3 70.3 67.8 65.2 70.2 67.8 66.2 71.6 69.0 2024 65.8 70.8 68.3 65.7 70.7 68.3 66.5 72.0 69.3 2025 66.3 71.4 68.9 66.2 71.3 68.8 66.8 72.4 69.6 2026 66.8 72.0 69.4 66.7 71.9 69.4 67.0 72.8 70.0 2027 67.3 72.6 70.0 67.2 72.5 69.9 67.3 73.3 70.3 2028 67.8 73.2 70.5 67.8 73.1 70.5 67.6 73.7 70.7 2029 68.3 73.8 71.1 68.3 73.8 71.1 67.9 74.1 71.1 2030 68.8 74.5 71.7 68.8 74.4 71.6 68.1 74.6 71.4 2031 69.4 75.1 72.3 69.3 75.0 72.2 68.4 75.0 71.8 2032 69.9 75.7 72.8 69.9 75.6 72.8 68.7 75.4 72.1 2033 70.4 76.2 73.4 70.4 76.1 73.3 69.0 75.8 72.5 2034 70.9 76.8 73.9 70.9 76.7 73.8 69.3 76.2 72.8 2035 71.4 77.4 74.4 71.4 77.3 74.4 69.6 76.6 73.2 21 3.2.3 Infant Mortality Rate (IMR) Infant mortality rate is one of the important mortality indicators that significantly affect population dynamics. Like any other mortality indicators, Infant Mortality Rate is defined as the number of infant deaths per 1,000 live births. This projection revealed that infant mortality rates in Tanzania are expected to decline during the projection horizon (2013 to 2035). The projections show that the Infant Mortality Rate is expected to decline from 42.8 infant deaths per 1,000 live births in 2013 to 13.4 infant deaths per 1,000 live births in 2035 for both sexes in Tanzania and Tanzania Mainland. For Tanzania Zanzibar, the Infant Mortality Rate is expected to decline from 38.4 infant deaths per 1,000 live births in 2013 to 12.5 deaths per 1000 live births in 2035. Table 3.3 shows the trends of declining Infant Mortality Rate. Table 3.3: Projected Infant Mortality Rates for Tanzania, Tanzania Mainland and Tanzania Zanzibar: 2013 – 2035 Year Tanzania Tanzania Mainland Tanzania Zanzibar 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 42.8 40.5 38.4 36.4 34.5 32.6 30.9 29.3 27.7 26.3 24.9 23.6 22.4 21.2 20.1 19.1 18.1 17.2 16.3 15.5 14.8 14.1 13.4 42.9 40.7 38.5 36.5 34.5 32.7 31.0 29.3 27.8 26.3 24.9 23.6 22.4 21.2 20.1 19.1 18.1 17.2 16.4 15.6 14.8 14.1 13.4 38.4 36.5 34.7 33.0 31.3 29.7 28.2 26.8 25.4 24.1 22.9 21.8 20.6 19.6 18.6 17.7 16.8 16.0 15.2 14.4 13.8 13.1 12.5 22 3.2.4 Total Fertility Rate (TFR) Fertility is projected to decline in Tanzania during the projection period. The projected TFR at the beginning of the projection period is 5.3 children per woman in 2013 and is expected to decline to 3.4 children per woman in 2035. For Tanzania Zanzibar, the projected TFR at the beginning of the projection period is 4.9 children per woman in 2013 and is expected to reach 3.2 children per woman in 2035. As for Tanzania Mainland, the projected TFR is 5.3 children per woman in 2013 and 4.1 children per woman in 2035 (Table 3.4). Table 3.4: Projected Total Fertility Rates for Tanzania, Tanzania Mainland and Tanzania Zanzibar: 2013 – 2035 Year 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 Tanzania 5.3 5.3 5.2 5.2 5.1 5.1 5.0 5.0 4.9 4.8 4.8 4.7 4.7 4.6 4.6 4.5 4.5 4.4 4.3 4.3 4.2 4.2 4.1 Tanzania Mainland 5.3 5.3 5.2 5.2 5.1 5.1 5.0 5.0 4.9 4.8 4.8 4.7 4.7 4.6 4.6 4.5 4.5 4.4 4.3 4.3 4.2 4.2 4.1 Tanzania Zanzibar 4.9 4.8 4.8 4.7 4.6 4.5 4.5 4.4 4.3 4.2 4.1 4.1 4.0 3.9 3.8 3.8 3.7 3.6 3.5 3.5 3.4 3.3 3.2 23 Table 3.5: Summary of Selected Demographic Indicators; Tanzania: 2013 – 2035 Indicators 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 TFR 5.3 5.3 5.2 5.2 5.1 5.1 5.0 5.0 4.9 4.8 4.8 GRR 2.6 2.6 2.6 2.6 2.5 2.5 2.5 2.5 2.4 2.4 2.4 NRR 2.3 2.3 2.3 2.3 2.2 2.2 2.2 2.2 2.2 2.2 2.1 28.4 28.3 28.2 28.1 28.1 28.0 28.0 28.0 27.9 27.9 27.9 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 Male LE 60.2 60.7 61.2 61.6 62.2 62.7 63.2 63.7 64.2 64.8 65.3 Female LE 64.2 64.8 65.4 66 66.6 67.2 67.8 68.4 69 69.6 70.3 Total LE 62.2 62.8 63.3 63.9 64.4 65 65.5 66.1 66.7 67.3 67.8 IMR 42.8 40.5 38.4 36.4 34.5 32.6 30.9 29.3 27.7 26.3 24.9 CBR per 1000 39.2 38.8 38.4 38.0 37.6 37.2 36.7 36.4 36.0 35.7 35.4 CDR per 1000 9.0 8.5 8.0 7.6 7.2 6.8 6.5 6.1 5.9 5.6 5.4 RNI Percent 3.2 3.2 3.2 3.2 3.2 3.1 3.1 3.1 3.1 3.1 3.0 GR Percent 3.1 3.1 3.1 3.2 3.1 3.1 3.1 3.1 3.1 3.0 3.0 22.2 22.1 22.0 22.0 22.2 22.5 22.6 22.5 22.5 22.8 23.1 1,853,900 1,891,001 1,930,635 1,976,232 2,017,606 2,059,046 2,101,519 2,145,193 2,190,903 2,239,217 2,290,047 423,685 410,632 399,325 389,393 380,429 372,146 364,920 358,489 353,013 348,198 344,266 Percent Females 15-49 47.2 47.1 47.9 47.7 47.8 47.9 48.2 48.3 48.7 48.2 48.4 Sex Ratio 95.0 95.2 95.3 95.5 95.6 95.7 95.9 96.0 96.1 96.2 96.3 Dependency Ratio 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.8 0.8 Median Age 18 18 18 18 18 18 18 18 18 18 18 Fertility Mean Age of Childbearing Child-Woman Ratio Mortality Vital Rates Doubling Time Annual Births and Deaths Births Deaths Population 24 Table 3.5: Summary of Selected Demographic Indicators; Tanzania: 2013 – 2035 Indicators 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 TFR 4.7 4.7 4.6 4.6 4.5 4.5 4.4 4.3 4.3 4.2 4.2 4.1 GRR 2.4 2.3 2.3 2.3 2.3 2.3 2.2 2.2 2.2 2.2 2.1 2.1 NRR 2.1 2.1 2.1 2.1 2.1 2.0 2.0 2.0 2.0 2.0 2.0 2.0 27.9 27.9 27.8 27.8 27.8 27.8 27.8 27.7 27.7 27.7 27.7 27.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.6 0.6 0.6 0.6 0.6 Male LE 65.8 66.3 66.8 67.3 67.8 68.3 68.8 69.4 69.9 70.4 70.9 71.4 Female LE 70.8 71.4 72 72.6 73.2 73.8 74.5 75.1 75.7 76.2 76.8 77.4 Total LE 68.3 68.9 69.4 70 70.5 71.1 71.7 72.3 72.8 73.4 73.9 74.4 IMR 23.6 22.4 21.2 20.1 19.1 18.1 17.2 16.3 15.5 14.8 14.1 13.4 CBR per 1000 35.1 34.8 34.5 34.2 33.9 33.6 33.3 32.9 32.6 32.3 32.0 31.6 CDR per 1000 5.2 5.0 4.8 4.7 4.5 4.4 4.2 4.1 4.0 3.9 3.9 3.8 RNI Percent 3.0 3.0 2.9 2.9 2.9 2.9 2.8 2.8 2.8 2.8 2.7 2.7 GR Percent 3.0 3.0 3.0 2.9 2.9 2.9 2.9 2.8 2.8 2.8 2.8 2.8 23.1 23.3 23.4 23.7 23.9 24.0 24.2 24.3 24.6 24.8 24.9 25.0 2,342,286 2,395,826 2,450,004 2,504,519 2,559,239 2,613,769 2,667,633 2,721,802 2,775,445 2,829,506 2,883,048 2,936,330 340,942 338,470 336,482 335,131 334,213 333,899 333,966 335,074 336,510 338,275 340,411 342,870 Percent Females 15-49 48.2 48.3 48.0 47.6 47.8 48.1 48.1 48.5 48.0 48.3 48.1 48.3 Sex Ratio 96.5 96.6 96.7 96.7 96.8 96.9 97.0 97.1 97.2 97.2 97.3 97.4 Dependency Ratio 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 Median Age 18 18 18 18 18 19 19 19 19 19 19 19 Fertility Mean Age of Childbearing Child-Woman Ratio Mortality Vital Rates Doubling Time Annual Births and Deaths Births Deaths Population 25 Table 3.6: Summary of Selected Demographic Indicators; Tanzania Mainland: 2013 – 2035 Indicators 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 TFR 5.3 5.3 5.2 5.2 5.1 5.1 5.0 5.0 4.9 4.8 4.8 GRR 2.6 2.6 2.6 2.6 2.5 2.5 2.5 2.5 2.4 2.4 2.4 NRR 2.3 2.3 2.3 2.3 2.2 2.2 2.2 2.2 2.2 2.2 2.1 28.4 28.3 28.2 28.1 28.1 28.0 28.0 28.0 27.9 27.9 27.9 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 Male LE 60.1 60.6 61.1 61.6 62.1 62.6 63.1 63.6 64.2 64.7 65.2 Female LE 64.1 64.7 65.3 65.9 66.5 67.1 67.7 68.3 68.9 69.6 70.2 Total LE 62.1 62.7 63.2 63.8 64.3 64.9 65.4 66.0 66.6 67.2 67.8 IMR 42.9 40.7 38.5 36.5 34.5 32.7 31.0 29.3 27.8 26.3 24.9 CBR per 1000 39.3 38.9 38.5 38.2 37.8 37.4 37.0 36.6 36.3 35.9 35.6 CDR per 1000 9.1 8.6 8.1 7.6 7.2 6.8 6.5 6.2 5.9 5.7 5.4 RNI Percent 3.2 3.2 3.2 3.2 3.2 3.1 3.1 3.1 3.1 3.1 3.0 GR Percent 3.1 3.1 3.1 3.2 3.1 3.1 3.1 3.1 3.1 3.1 3.0 22.2 22.2 22.1 22.0 22.2 22.5 22.5 22.5 22.4 22.7 22.9 1,805,137 1,841,938 1,881,453 1,926,912 1,968,352 2,009,848 2,052,361 2,096,298 2,142,110 2,190,608 2,241,573 415,809 402,850 391,631 381,776 372,881 364,662 357,484 351,092 345,642 340,838 336,905 Percent Females 15-49 47.1 47.0 47.9 47.7 47.8 47.9 48.2 48.2 48.7 48.1 48.4 Sex Ratio 95.0 95.2 95.3 95.5 95.6 95.8 95.9 96.0 96.1 96.3 96.4 Dependency Ratio 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.8 Median Age 18 18 18 18 18 18 18 18 18 18 18 Fertility Mean Age of Childbearing Child-Woman Ratio Mortality Vital Rates Doubling Time Annual Births and Deaths Births Deaths Population 26 Table 3.6: Summary of Selected Demographic Indicators; Tanzania Mainland: 2013 – 2035 Indicators 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 TFR 4.7 4.7 4.6 4.6 4.5 4.5 4.4 4.3 4.3 4.2 4.2 4.1 GRR 2.4 2.3 2.3 2.3 2.3 2.3 2.2 2.2 2.2 2.2 2.1 2.1 NRR 2.1 2.1 2.1 2.1 2.1 2.0 2.0 2.0 2.0 2.0 2.0 2.0 27.9 27.9 27.8 27.8 27.8 27.8 27.8 27.7 27.7 27.7 27.7 27.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.6 0.6 0.6 0.6 0.6 Male LE 65.7 66.2 66.7 67.2 67.8 68.3 68.8 69.3 69.9 70.4 70.9 71.4 Female LE 70.7 71.3 71.9 72.5 73.1 73.8 74.4 75.0 75.6 76.1 76.7 77.3 Total LE 68.3 68.8 69.4 69.9 70.5 71.1 71.6 72.2 72.8 73.3 73.8 74.4 IMR 23.6 22.4 21.2 20.1 19.1 18.1 17.2 16.4 15.6 14.8 14.1 13.4 CBR per 1000 35.4 35.1 34.8 34.5 34.2 33.9 33.6 33.3 32.9 32.6 32.3 32.0 CDR per 1000 5.2 5.0 4.8 4.7 4.5 4.4 4.3 4.2 4.1 4.0 3.9 3.8 RNI Percent 3.0 3.0 2.9 2.9 2.9 2.9 2.8 2.8 2.8 2.8 2.7 2.7 GR Percent 3.0 3.0 3.0 2.9 2.9 2.9 2.9 2.9 2.8 2.8 2.8 2.8 23.0 23.2 23.2 23.5 23.8 23.8 24.0 24.2 24.4 24.6 24.6 24.8 2,293,894 2,347,603 2,401,720 2,456,241 2,510,873 2,565,215 2,618,780 2,672,710 2,725,996 2,779,574 2,832,712 2,885,467 333,564 331,063 329,033 327,627 326,636 326,237 326,205 327,204 328,520 330,141 332,123 334,416 Percent Females 15-49 48.2 48.2 48.0 47.5 47.8 48.1 48.0 48.4 47.9 48.2 48.0 48.2 Sex Ratio 96.5 96.6 96.7 96.8 96.9 97.0 97.0 97.1 97.2 97.3 97.4 97.4 Dependency Ratio 0.8 0.8 0.8 0.9 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 Median Age 18 18 18 18 18 19 19 19 19 19 19 19 Fertility Mean Age of Childbearing Child-Woman Ratio Mortality Vital Rates Doubling Time Annual Births and Deaths Births Deaths Population 27 Table 3.7: Summary of Selected Demographic Indicators; Tanzania Zanzibar: 2013 – 2035 Indicators 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 TFR 4.9 4.8 4.8 4.7 4.6 4.5 4.5 4.4 4.3 4.2 4.1 GRR 2.4 2.3 2.2 2.1 2.1 2.0 1.9 1.8 1.8 1.7 1.6 NRR 2.1 2.0 2.0 1.9 1.8 1.8 1.7 1.6 1.6 1.5 1.5 28.4 28.3 28.2 28.1 28.1 28.0 28.0 28.0 27.9 27.9 27.9 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.5 0.5 Male LE 63.5 63.7 64.0 64.3 64.6 64.9 65.2 65.4 65.7 66.0 66.2 Female LE 67.3 67.8 68.2 68.6 69.1 69.5 70.0 70.4 70.8 71.2 71.6 Total LE 65.5 65.8 66.2 66.5 66.9 67.3 67.6 68.0 68.3 68.6 69.0 IMR 38.4 36.5 34.7 33.0 31.3 29.7 28.2 26.8 25.4 24.1 22.9 CBR per 1000 35.6 34.6 33.5 32.5 31.4 30.4 29.4 28.4 27.5 26.7 25.9 CDR per 1000 5.8 5.5 5.2 5.0 4.8 4.6 4.5 4.3 4.2 4.0 3.9 RNI Percent 3.2 3.1 3.0 2.9 2.8 2.6 2.6 2.5 2.4 2.3 2.1 GR Percent 3.4 3.3 3.3 3.2 3.1 2.9 2.9 2.8 2.7 2.6 2.5 20.3 20.7 21.1 21.7 22.6 23.7 24.3 24.8 25.5 26.6 27.7 Births 48,763 49,063 49,182 49,320 49,254 49,198 49,158 48,895 48,793 48,609 48,474 Deaths 7,876 7,782 7,694 7,617 7,548 7,484 7,436 7,397 7,371 7,360 7,361 Percent Females 15-49 49.8 49.6 50.1 49.7 49.3 49.4 49.6 49.7 50.1 49.1 49.6 Sex Ratio 93.9 94.1 94.3 94.4 94.6 94.7 94.8 95.0 95.1 95.1 95.2 Dependency Ratio 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 Median Age 18 19 19 19 19 19 19 20 20 20 20 Fertility Mean Age of Childbearing Child-Woman Ratio Mortality Vital Rates Doubling Time Annual Births and Deaths Population 28 Table 3.7: Summary of Selected Demographic Indicators; Tanzania Zanzibar: 2013 – 2035 Indicators 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 TFR 4.1 4.0 3.9 3.8 3.8 3.7 3.6 3.5 3.5 3.4 3.3 3.2 GRR 1.6 1.5 1.5 1.4 1.4 1.3 1.3 1.3 1.2 1.2 1.2 1.2 NRR 1.4 1.4 1.3 1.3 1.3 1.2 1.2 1.2 1.1 1.1 1.1 1.1 27.9 27.9 27.8 27.8 27.8 27.8 27.8 27.7 27.7 27.7 27.7 27.7 0.5 0.5 0.5 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.3 Male LE 66.5 66.8 67.0 67.3 67.6 67.9 68.1 68.4 68.7 69.0 69.3 69.6 Female LE 72.0 72.4 72.8 73.3 73.7 74.1 74.6 75.0 75.4 75.8 76.2 76.6 Total LE 69.3 69.6 70.0 70.3 70.7 71.1 71.4 71.8 72.1 72.5 72.8 73.2 IMR 21.8 20.6 19.6 18.6 17.7 16.8 16.0 15.2 14.4 13.8 13.1 12.5 CBR per 1000 25.2 24.4 23.9 23.3 22.8 22.3 22.0 21.6 21.3 21.0 20.8 20.5 CDR per 1000 3.8 3.8 3.7 3.6 3.6 3.5 3.5 3.5 3.4 3.4 3.4 3.4 RNI Percent 2.1 2.0 1.9 1.8 1.8 1.7 1.7 1.6 1.6 1.6 1.5 1.5 GR Percent 2.4 2.4 2.3 2.2 2.2 2.1 2.1 2.0 2.0 1.9 1.9 1.9 28.4 29.3 30.0 31.0 32.0 32.5 33.3 34.0 34.8 35.6 36.0 36.5 Births 48,392 48,223 48,284 48,278 48,366 48,554 48,853 49,092 49,449 49,932 50,336 50,863 Deaths 7,378 7,407 7,449 7,504 7,577 7,662 7,761 7,870 7,990 8,134 8,288 8,454 Percent Females 15-49 49.7 49.8 49.7 49.3 50.0 50.7 51.2 52.0 51.7 52.2 52.4 52.8 Sex Ratio 95.3 95.4 95.4 95.5 95.6 95.6 95.7 95.7 95.7 95.8 95.8 95.8 Dependency Ratio 0.8 0.8 0.8 0.8 0.7 0.7 0.7 0.7 0.7 0.6 0.6 0.6 Median Age 20 21 21 21 22 22 22 23 23 24 24 24 Fertility Mean Age of Childbearing Child-Woman Ratio Mortality Vital Rates Doubling Time Annual Births and Deaths Population 29 3.2.5 Thematic Maps on Selected Age Groups and Indicators for the Year 2025 The following maps contain some indicators that will be used to evaluate Vision 2025 development programmes. 30 Map 3.1: Percentage Distribution of Children below Age One by Region: Population Projections 2025 31 Map 3.2: Percentage Distribution of Children Aged 0 to 4 Years by Region: Population Projections 2025 32 Map 3.3: Percentage Distribution of Population Aged 7 to 13 Years by Region: Population Projections 2025 33 Map 3.4: Percentage Distribution of Population Aged 15 to 24 Years by Region: Population Projections 2025 34 Map 3.5: Percentage Distribution of Population Aged 15 to 35 Years by Region: Population Projections 2025 35 Map 3.6: Percentage Distribution of Female Population Aged 15 to 49 Years by Region: Population Projections 2025 36 Map 3.7: Percentage Distribution of Population Aged 15 to 64 Years by Region: Population Projections 2025 37 Map 3.8: Percentage Distribution of Population Aged 60 Years and Above by Region: Population Projections 2025 38 Map 3.9: Percentage Distribution of Population Aged 65 Years and Above by Region: Population Projections 2025 39 3.2.6 Thematic Maps on Selected Age Groups and Indicators for the Year 2030 The following maps contain some indicators that will be used to evaluate Sustainable Development Goals, 2030. 40 Map 3.10: Percentage Distribution of Children below Age One by Region: Population Projections 2030 41 Map 3.11: Percentage Distribution of Children Aged 0 to 4 Years by Region: Population Projections 2030 42 Map 3.12: Percentage Distribution of Population Aged 7 to 13 Years by Region: Population Projections 2030 43 Map 3.13: Percentage Distribution of Population Aged 15 to 24 Years by Region: Population Projections 2030 44 Map 3.14: Percentage Distribution of Population Aged 15 to 35 Years by Region: Population Projections 2030 45 Map 3.15: Percentage Distribution of Female Population Aged 15 to 49 Years by Region: Population Projections 2030 46 Map 3.16: Percentage Distribution of Population Aged 15 to 64 Years by Region: Population Projections 2030 47 Map 3.17: Percentage Distribution of Population Aged 60 Years and above by Region: Population Projections 2030 48 Map 3.18: Percentage Distribution of Population Aged 65 Years and above by Region: Population Projections 2030 49 Chapter Four Population Projection’s Statistical Tables The projection results are presented in Statistical Tables for the Tanzania, Tanzania Mainland and Tanzania Zanzibar from 2013 to 2035 in Table A.1 to Table C.8 below. 50 Table A.1: Tanzania: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2013 - 2015 Age 2013 2014 2015 Both Sexes Male Female Both Sexes Male Female Both Sexes Male Female Total 46,356,279 22,585,059 23,771,220 47,831,361 23,323,466 24,507,895 49,359,408 24,088,086 25,271,322 0 1 2 3 4 0-4 5 6 7 8 9 5-9 10 11 12 13 14 10 -14 15 16 17 18 19 15 - 19 20 21 22 23 24 20 - 24 25 26 27 28 29 25 - 29 30 31 32 33 34 30 - 34 35 36 37 38 39 35 - 39 1,791,097 905,391 885,706 1,841,782 931,058 910,724 1,896,258 958,560 937,698 1,457,783 1,335,396 1,468,729 1,450,299 725,301 670,931 735,406 724,779 732,482 664,465 733,323 725,520 1,742,278 1,443,390 1,327,224 1,462,509 878,680 718,304 666,842 732,265 863,598 725,086 660,382 730,244 1,792,658 1,725,340 1,434,770 1,321,719 904,132 870,305 714,015 664,044 888,526 855,035 720,755 657,675 7,503,304 1,486,110 1,409,583 1,417,438 1,392,214 1,277,503 6,982,848 1,150,502 1,338,653 950,426 1,442,030 1,021,551 5,903,162 1,032,773 970,172 933,450 3,761,808 742,178 713,707 709,343 702,179 630,737 3,498,144 571,730 670,802 468,238 728,730 509,373 2,948,873 511,565 489,760 455,759 3,741,496 743,932 695,876 708,095 690,035 646,766 3,484,704 578,772 667,851 482,188 713,300 512,178 2,954,289 521,208 480,412 477,691 7,817,183 1,445,811 1,482,588 1,406,863 1,415,109 1,390,207 7,140,578 1,275,853 1,149,140 1,337,137 949,336 1,440,255 6,151,721 1,020,143 1,031,166 968,504 3,927,149 722,494 740,371 712,280 708,119 701,103 3,584,367 629,863 570,998 669,976 467,652 727,755 3,066,244 508,612 510,698 488,842 3,890,034 723,317 742,217 694,583 706,990 689,104 3,556,211 645,990 578,142 667,161 481,684 712,500 3,085,477 511,531 520,468 479,662 8,170,745 1,458,082 1,442,457 1,479,775 1,404,602 1,413,104 7,198,020 1,388,438 1,274,371 1,147,867 1,335,636 948,185 6,094,497 1,438,305 1,018,587 1,029,427 4,111,056 729,997 720,767 738,909 711,074 707,049 3,607,796 700,144 629,069 570,311 669,157 467,033 3,035,714 726,680 507,763 509,755 4,059,689 728,085 721,690 740,866 693,528 706,055 3,590,224 688,294 645,302 577,556 666,479 481,152 3,058,783 711,625 510,824 519,672 870,585 1,055,767 4,862,747 770,081 1,130,090 624,641 904,262 614,470 4,043,544 670,314 864,568 634,914 576,569 818,312 3,564,677 487,771 1,048,338 346,456 694,507 408,592 2,985,664 401,184 719,524 432,804 398,653 551,932 2,504,097 428,093 506,847 2,392,024 353,840 502,302 290,970 411,594 278,870 1,837,576 304,068 395,498 289,967 268,456 370,229 1,628,218 219,429 480,212 166,901 333,785 198,585 1,398,912 195,134 351,625 208,633 196,420 263,078 1,214,890 442,492 548,920 2,470,723 416,241 627,788 333,671 492,668 335,600 2,205,968 366,246 469,070 344,947 308,113 448,083 1,936,459 268,342 568,126 179,555 360,722 210,007 1,586,752 206,050 367,899 224,171 202,233 288,854 1,289,207 931,699 868,809 4,820,321 1,053,460 768,282 1,127,302 623,025 901,843 4,473,912 612,788 668,420 862,068 633,018 574,786 3,351,080 815,693 486,144 1,044,719 345,195 691,871 3,383,622 406,972 399,506 716,396 430,818 396,722 2,350,414 454,819 427,128 2,390,099 505,609 352,907 500,890 290,120 410,354 2,059,880 278,016 303,115 394,236 289,017 267,554 1,531,938 368,940 218,634 478,416 166,244 332,410 1,564,644 197,727 194,238 349,943 207,574 195,360 1,144,842 476,880 441,681 2,430,222 547,851 415,375 626,412 332,905 491,489 2,414,032 334,772 365,305 467,832 344,001 307,232 1,819,142 446,753 267,510 566,303 178,951 359,461 1,818,978 209,245 205,268 366,453 223,244 201,362 1,205,572 966,722 929,842 5,382,883 866,940 1,051,037 766,421 1,124,457 621,389 4,430,244 899,420 611,093 666,513 859,543 631,086 3,667,655 572,966 813,020 484,488 1,041,027 343,913 3,255,414 689,179 405,300 397,785 713,167 428,767 2,634,198 487,849 453,810 2,685,857 426,095 504,292 351,928 499,447 289,258 2,071,020 409,116 277,159 302,156 392,966 288,051 1,669,448 266,626 367,620 217,825 476,572 165,571 1,494,214 330,995 196,836 193,316 348,192 206,469 1,275,808 478,873 476,032 2,697,026 440,845 546,745 414,493 625,010 332,131 2,359,224 490,304 333,934 364,357 466,577 343,035 1,998,207 306,340 445,400 266,663 564,455 178,342 1,761,200 358,184 208,464 204,469 364,975 222,298 1,358,390 51 Table A.1: Tanzania: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2013 - 2015 Age 40 41 42 43 44 40 - 44 45 46 47 48 49 45 - 49 50 51 52 53 54 50 - 54 55 56 57 58 59 55 - 59 60 61 62 63 64 60 - 64 65 66 67 68 69 65 - 69 70 71 72 73 74 70 - 74 75 76 77 78 79 75 - 79 80+ 2013 2014 2015 Both Sexes Male Female Both Sexes Male Female Both Sexes Male Female 326,728 762,564 201,667 156,836 367,533 101,850 169,892 395,031 99,817 549,117 324,975 758,237 261,571 155,881 365,163 287,546 169,094 393,074 394,720 546,208 323,150 194,255 259,998 154,883 200,465 286,210 168,267 435,361 237,748 1,964,068 250,355 223,626 117,278 967,123 127,286 211,735 120,470 996,945 123,069 200,438 432,543 2,265,310 236,125 101,147 221,977 1,105,739 116,355 99,291 210,566 1,159,571 119,770 753,729 199,163 2,216,970 429,605 362,672 100,410 1,072,218 220,247 391,057 98,753 1,144,752 209,358 454,139 239,711 207,390 328,319 1,479,914 263,801 477,412 163,928 225,979 120,993 105,569 161,682 741,509 97,195 220,569 87,577 228,160 118,718 101,821 166,637 738,405 166,606 256,843 76,351 248,514 450,623 237,701 205,523 1,378,486 325,156 261,179 472,135 126,211 223,949 119,817 104,465 690,797 159,860 96,011 217,680 122,303 226,674 117,884 101,058 687,689 165,296 165,168 254,455 234,424 246,582 446,934 235,582 1,593,127 203,557 321,823 258,413 115,386 125,075 221,816 118,573 801,097 103,300 157,935 94,761 119,038 121,507 225,118 117,009 792,030 100,257 163,888 163,652 250,118 136,694 1,291,953 168,525 226,831 152,302 113,434 178,071 839,163 89,581 359,166 75,113 143,249 88,220 755,329 85,279 181,105 61,814 83,553 100,702 131,145 70,355 606,841 89,275 111,287 78,099 59,204 89,310 427,175 46,199 162,400 39,401 74,296 46,281 368,577 46,517 83,429 32,374 43,722 45,889 118,973 66,339 685,112 79,250 115,544 74,203 54,230 88,761 411,988 43,382 196,766 35,712 68,953 41,939 386,752 38,762 97,676 29,440 39,831 54,813 161,916 246,833 1,467,219 134,768 165,939 223,152 149,591 111,249 784,699 174,353 87,540 350,515 73,085 139,065 824,558 85,411 82,307 174,444 59,290 79,841 86,336 129,149 689,036 69,205 87,699 109,188 76,493 57,888 400,473 87,150 44,985 157,803 38,181 71,809 399,928 44,601 44,684 79,885 30,881 41,537 75,580 117,684 778,183 65,563 78,240 113,964 73,098 53,361 384,226 87,203 42,555 192,712 34,904 67,256 424,630 40,810 37,623 94,559 28,409 38,304 466,571 159,797 1,410,161 243,380 132,740 163,213 219,284 146,736 905,353 108,941 170,436 85,404 341,415 70,965 777,161 134,693 82,481 79,210 167,530 56,683 214,636 85,027 655,659 127,055 67,993 86,035 106,977 74,805 462,865 56,506 84,873 43,719 152,986 36,910 374,994 69,221 42,858 42,783 76,238 29,346 251,935 74,770 754,502 116,325 64,747 77,178 112,307 71,931 442,488 52,435 85,563 41,685 188,429 34,055 402,167 65,472 39,623 36,427 91,292 27,337 512,453 46,252 251,938 34,130 251,931 22,795 110,328 17,613 260,522 23,457 141,610 16,517 481,293 95,928 43,850 237,989 241,588 43,409 21,463 103,407 239,705 52,519 22,387 134,582 520,597 76,024 91,023 41,399 260,446 39,305 40,885 20,119 260,151 36,719 50,138 21,280 84,365 41,094 457,779 39,064 102,552 45,795 30,745 57,618 41,669 21,713 214,118 20,578 47,072 23,730 17,060 27,339 42,696 19,381 243,661 18,486 55,480 22,065 13,685 30,279 32,040 78,811 488,618 38,156 36,045 94,149 41,693 27,762 16,418 38,635 223,332 20,014 18,845 42,837 21,435 15,293 15,622 40,176 265,286 18,142 17,200 51,312 20,258 12,469 223,822 29,936 462,204 73,252 35,231 33,069 85,881 37,693 96,456 15,228 211,993 35,626 18,338 17,154 38,727 19,230 127,366 14,708 250,211 37,626 16,893 15,915 47,154 18,463 275,774 429,803 135,779 191,561 139,995 238,242 237,805 414,542 118,424 184,986 119,381 229,556 265,126 375,053 129,075 168,826 136,051 206,227 52 Table A.2: Tanzania: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2016 – 2018 Age Total 0 1 2 3 4 0-4 5 6 7 8 9 5-9 10 11 12 13 14 10 - 14 15 16 17 18 19 15 - 19 20 21 22 23 24 20 - 24 25 26 27 28 29 25 - 29 30 31 32 33 34 30 - 34 35 36 37 38 39 35 - 39 Both Sexes 2016 Male Both Sexes 2017 Male Female 50,941,672 24,879,894 1,949,907 1,847,014 1,775,668 1,715,220 1,428,990 8,716,799 1,317,811 1,454,785 985,730 931,627 895,737 865,204 711,105 4,389,403 662,036 728,294 1,439,787 1,477,445 1,402,653 7,092,481 1,411,347 1,386,851 1,272,985 1,146,604 1,334,055 6,551,842 946,938 1,436,158 1,016,899 1,027,576 964,830 5,392,401 927,896 864,997 1,048,542 764,522 Both Sexes 2018 Male Female Female 26,061,778 52,554,628 25,687,154 964,177 915,387 879,931 850,016 717,885 4,327,396 655,775 726,491 1,980,911 1,900,628 1,829,964 1,765,525 1,708,438 9,185,466 1,424,888 1,314,899 1,001,445 958,836 923,210 890,630 861,746 4,635,867 709,017 660,531 26,867,474 54,199,163 26,510,095 27,689,068 979,466 941,792 906,754 874,895 846,692 4,549,599 715,871 654,368 2,013,744 1,932,401 1,883,618 1,819,825 1,758,759 9,408,347 1,703,642 1,421,839 1,018,016 974,953 950,414 918,090 887,169 4,748,642 859,268 707,447 995,728 957,448 933,204 901,735 871,590 4,659,705 844,374 714,392 719,377 737,685 710,027 3,557,419 706,104 699,278 628,323 569,624 668,294 3,271,623 466,359 725,494 506,840 508,739 486,788 2,694,220 452,741 425,013 502,928 350,936 720,410 739,760 692,626 3,535,062 705,243 687,573 644,662 576,980 665,761 3,280,219 480,579 710,664 510,059 518,837 478,042 2,698,181 475,155 439,984 545,614 413,586 1,452,158 1,437,574 1,475,453 7,104,972 1,400,953 1,409,777 1,385,376 1,271,618 1,145,284 6,613,008 1,332,339 945,556 1,433,835 1,015,112 1,025,617 5,752,459 962,852 925,863 862,988 1,046,002 726,926 718,215 736,623 3,551,312 709,101 705,251 698,468 627,584 568,907 3,309,311 667,351 465,612 724,204 505,852 507,658 2,870,677 485,667 451,613 423,887 501,547 725,232 719,359 738,830 3,553,660 691,852 704,526 686,908 644,034 576,377 3,303,697 664,988 479,944 709,631 509,260 517,959 2,881,782 477,185 474,250 439,101 544,455 1,312,602 1,449,989 1,435,684 7,323,756 1,473,707 1,399,435 1,408,311 1,383,921 1,270,190 6,935,564 1,143,846 1,330,446 944,071 1,431,375 1,013,234 5,862,972 1,023,575 960,796 923,777 860,949 659,323 725,779 717,204 3,669,021 735,681 708,265 704,447 697,663 626,807 3,472,863 568,119 666,305 464,800 722,825 504,804 2,926,853 506,511 484,486 450,447 422,748 653,279 724,210 718,480 3,654,735 738,026 691,170 703,864 686,258 643,383 3,462,701 575,727 664,141 479,271 708,550 508,430 2,936,119 517,064 476,310 473,330 438,201 1,121,586 4,727,543 619,747 896,987 497,997 2,229,615 288,398 407,881 623,589 2,497,928 331,349 489,106 762,610 4,560,315 1,118,719 618,113 349,939 2,212,653 496,557 287,553 412,671 2,347,662 622,162 330,560 1,043,451 4,812,548 760,703 1,115,847 500,156 2,364,348 348,947 495,121 543,295 2,448,200 411,756 620,726 609,393 664,599 856,995 3,647,721 629,130 571,129 810,320 482,812 1,037,261 3,530,652 342,592 686,416 403,598 396,016 709,848 2,538,470 276,302 301,200 391,682 1,665,463 287,071 265,695 366,286 217,000 474,685 1,610,737 164,874 329,535 195,922 192,358 346,379 1,229,068 333,091 363,399 465,313 1,982,258 342,059 305,434 444,034 265,812 562,576 1,919,915 177,718 356,881 207,676 203,658 363,469 1,309,402 894,548 607,679 662,663 3,901,722 854,411 627,158 569,263 807,571 481,102 3,339,505 1,033,416 341,248 683,581 401,834 394,195 2,854,274 406,647 275,440 300,233 1,766,430 390,386 286,089 264,748 364,929 216,157 1,522,309 472,746 164,164 328,029 194,971 191,368 1,351,278 487,901 332,239 362,430 2,135,292 464,025 341,069 304,515 442,642 264,945 1,817,196 560,670 177,084 355,552 206,863 202,827 1,502,996 616,470 892,105 605,959 3,991,084 660,709 851,811 625,168 567,381 804,778 3,509,847 479,356 1,029,481 339,870 680,675 400,034 2,929,416 286,702 405,414 274,577 1,810,761 299,256 389,078 285,092 263,789 363,539 1,600,754 215,286 470,746 163,427 326,468 193,989 1,369,916 329,768 486,691 331,382 2,180,323 361,453 462,733 340,076 303,592 441,239 1,909,093 264,070 558,735 176,443 354,207 206,045 1,559,500 53 Table A.2: Tanzania: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2016 – 2018 Age 40 41 42 43 44 40 - 44 45 46 47 48 49 45 - 49 50 51 52 53 54 50 - 54 55 56 57 58 59 55 - 59 60 61 62 63 64 60 - 64 65 66 67 68 69 65 - 69 70 71 72 73 74 70 - 74 75 76 77 78 79 75 - 79 80+ Both Sexes 2016 Male Both Sexes 2017 Male Both Sexes 2018 Male Female Female Female 426,644 392,661 205,316 193,109 221,328 199,552 706,427 424,463 344,499 204,124 361,928 220,339 392,321 702,896 190,343 342,538 201,978 360,358 543,191 321,257 749,046 2,432,799 258,357 153,843 360,073 1,170,698 284,834 167,414 388,973 1,262,101 390,529 540,069 319,293 2,380,781 191,915 256,648 152,754 1,149,940 198,614 283,421 166,539 1,230,841 422,206 388,313 536,824 2,442,560 202,884 190,668 254,862 1,181,295 219,322 197,645 281,962 1,261,265 197,832 426,538 232,651 244,561 99,637 218,437 114,370 123,886 98,195 208,101 118,281 120,675 744,177 196,446 423,336 230,786 357,362 98,828 216,540 113,301 386,815 97,618 206,796 117,485 317,252 739,105 195,000 419,981 151,619 354,523 97,985 214,546 165,633 384,582 97,015 205,435 443,048 1,544,630 233,353 201,491 219,564 775,894 117,260 102,073 223,484 768,736 116,093 99,418 242,437 1,837,182 438,962 231,005 122,632 908,663 217,191 115,878 119,805 928,519 221,771 115,127 228,841 1,900,179 240,208 434,663 112,179 930,852 121,312 214,690 116,662 969,327 118,896 219,973 318,310 255,499 460,722 1,469,375 155,906 93,445 211,441 680,125 162,404 162,054 249,281 789,250 199,312 314,619 252,443 1,436,341 100,782 153,779 92,071 679,701 98,530 160,840 160,372 756,640 228,542 197,018 310,740 1,411,171 114,426 99,419 151,542 701,389 114,116 97,599 159,198 709,782 157,564 239,746 130,601 160,350 83,655 124,858 66,723 84,295 73,909 114,888 63,878 76,055 454,577 155,227 235,928 128,357 208,095 82,220 122,554 65,394 246,482 73,007 113,374 62,963 249,232 448,116 152,767 231,908 90,625 204,582 80,712 120,130 158,607 243,534 72,055 111,778 215,198 903,459 143,735 106,514 166,325 83,151 331,871 831,596 104,652 464,183 73,028 55,052 82,492 42,386 147,963 400,921 110,546 439,276 70,707 51,462 83,833 40,765 183,908 430,675 157,330 1,131,419 210,898 140,574 103,967 162,004 80,800 698,243 82,459 560,722 102,206 71,166 53,531 80,001 41,002 347,906 74,871 570,697 108,692 69,408 50,436 82,003 39,798 350,337 125,990 1,208,013 154,155 206,379 137,252 101,289 157,474 756,549 63,989 560,038 80,532 99,639 69,210 51,933 77,403 378,717 62,001 647,975 73,623 106,740 68,042 49,356 80,071 377,832 68,748 130,130 79,426 76,011 35,589 66,537 41,052 40,833 33,159 63,593 38,374 35,178 321,878 66,439 125,382 76,270 142,741 34,224 63,763 39,199 179,137 32,215 61,619 37,071 78,337 311,442 64,033 120,458 39,561 137,319 32,805 60,905 38,776 174,123 31,228 59,553 160,372 514,687 53,993 72,111 72,495 256,506 27,778 37,040 87,877 258,181 26,215 35,071 72,697 662,666 152,988 51,243 38,831 318,758 68,674 26,192 33,866 343,908 84,314 25,051 73,006 647,276 69,292 145,413 37,299 307,889 36,789 64,794 35,707 339,387 32,503 80,619 86,030 38,917 209,523 460,574 38,346 18,771 89,526 211,461 47,684 20,146 119,997 249,113 68,124 80,952 36,415 389,722 34,752 35,792 17,429 182,839 33,372 45,160 18,986 206,883 48,436 64,084 75,835 403,060 24,586 32,456 33,247 191,872 23,850 31,628 42,588 211,188 27,837 67,711 32,349 30,139 77,797 235,833 350,810 14,051 32,661 16,705 15,512 34,773 113,702 158,856 13,786 35,050 15,644 14,627 43,024 122,131 191,954 195,184 25,737 62,234 29,508 27,282 339,945 366,608 82,659 12,890 29,766 15,118 13,930 154,363 164,425 112,525 12,847 32,468 14,390 13,352 185,582 202,183 33,914 180,883 23,667 56,843 26,740 322,047 334,774 16,099 75,889 11,753 26,953 13,589 144,283 150,602 17,815 104,994 11,914 29,890 13,151 177,764 184,172 54 Table A.3: Tanzania: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2019 – 2021 Age Total 0 1 2 3 4 0-4 5 6 7 8 9 5-9 10 11 12 13 14 10 - 14 15 16 17 18 19 15 - 19 20 21 22 23 24 20 - 24 25 26 27 28 29 25 - 29 30 31 32 33 34 30 - 34 35 36 37 38 39 35 - 39 Both Sexes 2019 Male 2021 Male Female 55,890,747 2,061,343 27,356,189 1,042,032 28,534,558 1,019,311 57,637,628 2,116,379 28,229,599 1,069,826 29,408,029 1,046,553 59,441,988 2,176,804 29,132,238 1,100,455 30,309,750 1,076,349 1,965,578 1,915,497 1,873,420 1,813,007 991,667 966,558 945,246 914,590 973,911 948,939 928,174 898,417 2,013,630 1,948,940 1,905,457 1,866,621 1,015,895 983,376 961,450 941,742 997,735 965,564 944,007 924,879 2,068,740 1,997,037 1,938,991 1,898,733 1,043,785 1,007,634 978,318 957,983 1,024,955 989,403 960,673 940,750 9,628,845 1,753,931 1,700,055 1,419,415 4,860,093 884,663 857,387 706,180 4,768,752 869,268 842,668 713,235 9,851,027 1,808,190 1,750,354 1,697,221 4,972,289 912,077 882,781 855,881 4,878,738 896,113 867,573 841,340 10,080,305 1,861,795 1,804,598 1,747,511 5,088,175 939,225 910,187 881,268 4,992,130 922,570 894,411 866,243 1,310,683 1,448,121 7,632,205 1,434,022 658,298 724,773 3,831,301 716,300 652,385 723,348 3,800,904 717,722 1,417,409 1,309,042 7,982,216 1,446,491 705,114 657,410 4,013,263 723,884 712,295 651,632 3,968,953 722,607 1,694,866 1,415,685 8,524,455 1,307,607 854,613 704,187 4,289,480 656,621 840,253 711,498 4,234,975 650,986 1,472,140 1,398,017 1,406,861 1,382,394 734,828 707,476 703,649 696,814 737,312 690,541 703,212 685,580 1,432,541 1,470,686 1,396,616 1,405,355 715,487 734,024 706,692 702,812 717,054 736,662 689,924 702,543 1,445,039 1,431,156 1,469,252 1,395,146 723,085 714,724 733,230 705,866 721,954 716,432 736,022 689,280 7,093,434 1,268,627 1,142,259 1,328,394 3,559,067 625,955 567,244 665,164 3,534,367 642,672 575,015 663,230 7,151,689 1,380,728 1,266,906 1,140,554 3,582,899 695,881 625,006 566,297 3,568,790 684,847 641,900 574,257 7,048,200 1,403,695 1,378,900 1,265,056 3,533,526 701,887 694,854 623,982 3,514,674 701,808 684,046 641,074 942,486 1,428,766 6,110,532 1,011,251 1,021,428 958,672 921,638 858,889 463,929 721,339 3,043,631 503,678 505,296 483,258 449,253 421,596 478,557 707,427 3,066,901 507,573 516,132 475,414 472,385 437,293 1,326,223 940,821 6,055,232 1,426,047 1,009,196 1,019,233 956,509 919,499 663,941 462,993 3,014,118 719,771 502,496 504,038 482,003 448,054 662,282 477,828 3,041,114 706,276 506,700 515,195 474,506 471,445 1,138,735 1,323,937 6,510,323 939,082 1,423,206 1,007,077 1,016,991 954,327 565,280 662,642 3,248,645 462,007 718,118 501,273 502,758 480,744 573,455 661,295 3,261,678 477,075 705,088 505,804 514,233 473,583 4,771,878 1,040,887 758,789 1,112,955 2,363,081 498,767 347,957 493,677 2,408,797 542,120 410,832 619,278 5,330,484 856,829 1,038,335 756,880 2,656,362 420,442 497,381 346,971 2,674,122 436,387 540,954 409,909 5,340,683 917,350 854,775 1,035,769 2,664,900 446,857 419,304 495,997 2,675,783 470,493 435,471 539,772 614,811 889,625 4,417,067 604,216 285,840 404,159 2,030,400 273,698 328,971 485,466 2,386,667 330,518 1,110,066 613,149 4,375,259 887,129 492,233 284,976 2,042,003 402,896 617,833 328,173 2,333,256 484,233 754,958 1,107,142 4,669,994 611,475 345,976 490,776 2,198,910 284,112 408,982 616,366 2,471,084 327,363 658,739 849,169 623,133 565,455 298,268 387,745 284,065 262,799 360,471 461,424 339,068 302,656 602,461 656,743 846,495 621,073 272,816 297,262 386,388 283,022 329,645 359,481 460,107 338,051 884,615 600,679 654,718 843,761 401,625 271,918 296,246 385,002 482,990 328,761 358,472 458,759 3,300,712 801,908 477,563 1,025,435 338,452 677,673 3,321,031 1,506,575 362,098 214,388 468,674 162,662 324,844 1,532,666 1,794,137 439,810 263,175 556,761 175,790 352,829 1,788,365 3,613,901 563,489 798,982 475,730 1,021,282 336,988 3,196,471 1,642,384 261,782 360,617 213,458 466,525 161,864 1,464,246 1,971,517 301,707 438,365 262,272 554,757 175,124 1,732,225 3,595,248 618,956 561,468 795,971 473,840 1,017,005 3,467,240 1,638,903 281,943 260,731 359,082 212,495 464,299 1,578,550 1,956,345 337,013 300,737 436,889 261,345 552,706 1,888,690 Female Both Sexes 2020 Male Female Both Sexes 55 Table A.3: Tanzania: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2019 – 2021 Age 40 41 42 43 44 40 - 44 45 46 47 48 49 45 - 49 50 51 52 53 54 50 - 54 55 56 57 58 59 55 - 59 60 61 62 63 64 60 - 64 65 66 67 68 69 65 - 69 70 71 72 73 74 70 - 74 75 76 77 78 79 75 - 79 80+ Both Sexes 2019 Male Female Both Sexes 2020 Male 2021 Male Female 398,165 390,385 192,962 189,269 205,203 201,116 674,594 396,246 323,160 191,897 351,434 204,349 335,483 671,401 161,040 321,408 174,443 349,993 699,232 419,858 386,014 2,293,654 533,437 315,117 733,792 193,480 416,447 2,192,273 226,776 237,848 430,122 225,941 194,604 1,315,291 306,653 245,839 441,299 150,168 340,495 201,581 189,362 1,113,669 252,985 150,427 351,532 97,093 212,438 1,064,475 110,987 119,909 212,041 112,891 97,986 653,814 149,190 89,104 200,885 79,121 358,737 218,277 196,652 1,179,985 280,452 164,690 382,260 96,387 204,009 1,127,798 115,789 117,939 218,081 113,050 96,618 661,477 157,463 156,735 240,414 71,047 388,380 695,432 417,420 2,572,072 383,619 529,915 312,889 728,220 191,881 2,146,524 412,729 224,610 235,368 425,339 223,203 1,521,249 192,063 302,351 242,273 434,118 188,152 338,357 200,216 1,241,782 187,995 251,027 149,176 348,383 96,151 1,032,732 210,209 109,733 118,437 209,251 111,278 758,908 96,481 146,715 87,505 196,994 200,228 357,075 217,204 1,330,290 195,624 278,888 163,713 379,837 95,730 1,113,792 202,520 114,877 116,931 216,088 111,925 762,341 95,582 155,636 154,768 237,124 394,248 386,299 691,475 2,478,906 414,873 381,109 526,219 310,548 722,360 2,355,109 190,199 408,807 222,322 232,759 420,301 1,474,388 220,324 189,391 297,820 238,506 190,786 186,984 336,124 1,196,342 198,792 186,559 248,964 147,858 345,069 1,127,242 95,159 207,861 108,407 116,886 206,315 734,628 109,582 94,902 144,118 85,823 203,462 199,315 355,351 1,282,564 216,081 194,550 277,255 162,690 377,291 1,227,867 95,040 200,946 113,915 115,873 213,986 739,760 110,742 94,489 153,702 152,683 227,663 1,371,622 123,496 150,810 201,606 133,762 98,478 708,152 152,730 75,757 300,541 61,531 117,573 635,873 62,512 78,503 96,934 67,165 50,266 355,380 74,691 38,059 131,698 31,340 110,090 735,749 60,984 72,307 104,672 66,597 48,212 352,772 78,039 37,698 168,843 30,191 147,433 1,318,238 223,197 120,876 147,298 196,603 130,098 818,072 95,537 147,774 73,079 289,214 77,444 605,139 114,880 60,959 76,376 94,108 65,021 411,344 48,530 71,874 36,508 125,900 69,989 713,099 108,317 59,917 70,922 102,495 65,077 406,728 47,007 75,900 36,571 163,314 426,537 1,372,578 144,552 218,479 118,112 143,602 191,340 816,085 126,256 92,461 142,605 70,288 192,893 627,318 75,685 112,046 59,327 74,148 91,155 412,361 62,791 46,729 68,961 34,907 233,644 745,260 68,867 106,433 58,785 69,454 100,185 403,724 63,465 45,732 73,644 35,381 115,355 705,914 69,631 65,799 137,657 45,586 60,007 378,680 57,968 333,756 35,349 34,711 60,859 22,968 30,161 184,048 57,387 372,158 34,282 31,088 76,798 22,618 29,846 194,632 58,946 664,550 110,099 66,175 62,233 129,776 42,714 410,997 29,843 312,655 54,963 33,367 32,607 56,904 21,355 199,196 29,103 351,895 55,136 32,808 29,626 72,872 21,359 211,801 277,457 709,067 56,282 104,695 62,643 58,611 121,799 404,030 119,948 333,336 28,309 51,907 31,365 30,491 52,947 195,019 157,509 375,731 27,973 52,788 31,278 28,120 68,852 209,011 70,695 31,408 166,661 21,623 51,562 341,949 307,508 30,717 14,781 69,244 10,648 24,236 149,626 138,734 39,978 16,627 97,417 10,975 27,326 192,323 168,774 55,923 65,569 28,931 152,618 19,620 322,661 306,986 27,882 28,221 13,489 62,774 9,578 141,944 138,335 28,041 37,348 15,442 89,844 10,042 180,717 168,651 39,829 51,846 60,475 26,485 138,804 317,439 277,938 19,751 25,633 25,777 12,236 56,525 139,922 124,981 20,078 26,213 34,698 14,249 82,279 177,517 152,957 Female Both Sexes 56 Table A.4: Tanzania: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2022 – 2024 Age Total 0 1 2 3 4 0-4 5 6 7 8 9 5-9 10 11 12 13 14 10 - 14 15 16 17 18 19 15 - 19 20 21 22 23 24 20 - 24 25 26 27 28 29 25 - 29 30 31 32 33 34 30 - 34 35 36 37 38 39 35 - 39 Both Sexes 2022 Male Female Both Sexes 2023 Male Female Both Sexes 2024 Male Female 61,280,743 2,213,094 30,051,820 1,118,835 31,228,923 1,094,259 63,150,477 2,251,281 30,987,274 1,138,171 32,163,203 1,113,110 65,070,448 2,302,553 31,947,619 1,164,115 33,122,829 1,138,438 2,129,167 2,052,165 1,987,127 1,932,334 1,074,372 1,035,505 1,002,580 974,871 1,054,795 1,016,660 984,547 957,463 2,165,987 2,112,579 2,042,259 1,980,492 1,092,989 1,066,058 1,030,432 999,132 1,072,998 1,046,521 1,011,827 981,360 2,204,637 2,149,557 2,102,647 2,035,619 1,112,561 1,084,738 1,060,959 1,026,971 1,092,076 1,064,819 1,041,688 1,008,648 10,313,887 1,893,958 1,858,199 1,801,741 5,206,163 955,481 937,323 908,661 5,107,724 938,477 920,876 893,080 10,552,598 1,927,607 1,890,398 1,855,336 5,326,782 972,390 953,591 935,788 5,225,816 955,217 936,807 919,548 10,795,013 1,975,781 1,924,077 1,887,563 5,449,344 996,645 970,509 952,069 5,345,669 979,136 953,568 935,494 1,745,151 1,692,842 8,991,891 1,414,181 879,989 853,506 4,534,960 703,365 865,162 839,336 4,456,931 710,816 1,799,376 1,743,120 9,215,837 1,691,074 907,379 878,878 4,648,026 852,524 891,997 864,242 4,567,811 838,550 1,852,961 1,797,338 9,437,720 1,741,340 934,495 906,257 4,759,975 877,889 918,466 891,081 4,677,745 863,451 1,306,318 1,443,668 1,429,788 1,467,739 655,908 722,324 713,962 732,390 650,410 721,344 715,826 735,349 1,412,826 1,305,117 1,442,325 1,428,354 702,619 655,236 721,573 713,160 710,207 649,881 720,752 715,194 1,689,483 1,411,568 1,303,928 1,440,916 851,635 701,918 654,567 720,777 837,848 709,650 649,361 720,139 7,061,694 1,393,547 1,401,875 1,376,921 3,527,949 704,965 700,868 693,734 3,533,745 688,582 701,007 683,187 7,279,696 1,466,092 1,391,787 1,399,918 3,645,112 731,467 703,962 699,761 3,634,584 734,625 687,825 700,157 7,587,235 1,426,791 1,464,285 1,389,882 3,806,786 712,278 730,446 702,869 3,780,449 714,513 733,839 687,013 1,263,083 1,136,819 6,572,245 1,321,537 937,260 1,420,282 1,004,914 1,014,735 622,878 564,189 3,286,634 661,257 460,965 716,404 500,024 501,471 640,205 572,630 3,285,611 660,280 476,295 703,878 504,890 513,264 1,374,820 1,261,011 6,893,628 1,134,814 1,319,034 935,384 1,417,294 1,002,736 692,528 621,702 3,449,420 563,035 659,795 459,884 714,651 498,765 682,292 639,309 3,444,208 571,779 659,239 475,500 702,643 503,971 1,397,827 1,372,604 7,051,389 1,258,831 1,132,725 1,316,458 933,473 1,414,290 698,566 691,241 3,535,400 620,449 561,820 658,285 458,781 712,892 699,261 681,363 3,515,989 638,382 570,905 658,173 474,692 701,398 5,698,728 952,148 915,206 852,711 2,840,121 479,490 445,671 418,160 2,858,607 472,658 469,535 434,551 5,809,262 1,012,480 949,974 913,053 2,896,130 500,189 478,242 444,480 2,913,132 512,291 471,732 468,573 6,055,777 1,000,556 1,010,216 947,782 3,012,227 497,513 498,907 476,990 3,043,550 503,043 511,309 470,792 1,033,191 753,010 4,506,266 1,104,190 494,612 344,974 2,182,907 489,308 538,579 408,036 2,323,359 614,882 850,639 1,030,587 4,756,733 751,053 417,010 493,207 2,333,128 343,964 433,629 537,380 2,423,605 407,089 910,889 848,542 4,717,985 1,027,962 443,284 415,850 2,332,544 491,792 467,605 432,692 2,385,441 536,170 609,775 882,060 598,875 652,646 283,230 400,329 271,004 295,195 326,545 481,731 327,871 357,451 1,101,206 608,054 879,461 597,033 487,820 282,335 399,006 270,065 613,386 325,719 480,455 326,968 749,067 1,098,184 606,303 876,820 342,939 486,314 281,421 397,657 406,128 611,870 324,882 479,163 3,847,546 840,962 616,797 559,396 792,881 471,901 3,281,937 1,739,066 383,568 280,835 259,645 357,495 211,500 1,493,043 2,108,480 457,394 335,962 299,751 435,386 260,401 1,788,894 3,936,807 650,525 838,098 614,571 557,263 789,692 3,450,149 1,783,190 294,113 382,087 279,684 258,515 355,846 1,570,245 2,153,617 356,412 456,011 334,887 298,748 433,846 1,879,904 4,358,336 595,136 648,356 835,143 612,278 555,065 3,245,978 2,000,123 269,095 292,998 380,555 278,488 257,345 1,478,481 2,358,213 326,041 355,358 454,588 333,790 297,720 1,767,497 57 Table A.4: Tanzania: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2022 – 2024 Age 40 41 42 43 44 40 - 44 45 46 47 48 49 45 - 49 50 51 52 53 54 50 - 54 55 56 57 58 59 55 - 59 60 61 62 63 64 60 - 64 65 66 67 68 69 65 - 69 70 71 72 73 74 70 - 74 75 76 77 78 79 75 - 79 80+ Both Sexes 2022 Male Female Both Sexes 2023 Male Female Both Sexes 2024 Male Female 1,012,585 333,924 461,981 160,181 550,604 173,743 469,891 1,008,015 210,457 459,566 259,434 548,449 786,398 467,810 354,126 209,369 432,272 258,441 668,091 392,180 384,127 2,790,907 687,347 412,223 378,494 522,346 308,084 2,308,494 716,173 188,422 404,667 219,912 230,001 1,759,175 415,002 217,292 186,573 293,038 319,576 189,626 185,761 1,317,125 333,779 197,300 185,054 246,793 146,464 1,109,390 341,556 94,107 205,377 107,010 115,249 863,299 203,234 107,802 93,240 141,379 348,515 202,554 198,366 1,473,782 353,568 214,923 193,440 275,553 161,620 1,199,104 374,617 94,315 199,290 112,902 114,752 895,876 211,768 109,490 93,333 151,659 332,307 664,648 390,019 2,864,880 381,864 683,027 409,436 375,739 518,257 2,368,323 305,485 709,642 186,547 400,305 217,367 1,819,346 227,102 409,414 214,090 183,603 159,284 317,659 188,406 1,335,372 184,478 331,316 195,723 183,467 244,494 1,139,478 144,990 337,841 92,998 202,761 105,536 884,126 113,528 199,991 105,924 91,489 173,023 346,989 201,613 1,529,508 197,386 351,711 213,713 192,272 273,763 1,228,845 160,495 371,801 93,549 197,544 111,831 935,220 113,574 209,423 108,166 92,114 1,003,258 330,626 661,058 3,249,150 387,762 379,501 678,505 406,515 372,838 2,225,121 513,949 302,739 702,739 184,567 395,697 2,099,691 214,690 224,045 403,513 210,715 457,032 158,346 315,651 1,494,524 187,129 183,133 328,730 194,069 181,787 1,074,848 242,066 143,429 333,907 91,825 200,001 1,011,228 103,985 111,721 196,575 103,949 546,226 172,280 345,407 1,754,626 200,633 196,368 349,775 212,446 191,051 1,150,273 271,883 159,310 368,832 92,742 195,696 1,088,463 110,705 112,324 206,938 106,766 234,527 1,346,432 418,533 141,514 213,521 115,203 139,711 1,028,482 185,811 122,239 89,250 137,230 84,048 629,703 188,568 73,829 109,073 57,618 71,817 500,905 88,068 60,474 44,856 65,958 150,479 716,729 229,965 67,685 104,448 57,585 67,894 527,577 97,743 61,765 44,394 71,272 287,989 1,322,198 230,325 410,089 138,312 208,301 112,150 1,099,177 135,637 180,025 118,036 85,911 138,490 649,422 82,177 184,014 71,879 105,955 55,834 499,859 69,384 84,860 58,069 42,928 149,499 672,776 148,148 226,075 66,433 102,346 56,316 599,318 66,253 95,165 59,967 42,983 180,465 1,233,428 282,655 225,896 401,182 134,943 202,812 1,247,488 108,938 131,378 173,982 113,682 89,642 605,872 135,440 80,210 179,222 69,839 102,695 567,406 53,965 66,860 81,535 55,593 90,823 627,556 147,215 145,686 221,960 65,104 100,117 680,082 54,973 64,518 92,447 58,089 67,398 601,928 265,290 53,542 99,169 59,050 54,956 532,007 33,259 292,615 113,849 26,747 48,816 29,348 28,375 247,135 34,139 309,313 151,441 26,795 50,353 29,702 26,581 284,872 131,653 651,262 64,409 252,757 50,732 93,552 55,416 516,866 62,865 318,106 31,578 107,640 25,163 45,702 27,327 237,410 68,788 333,156 32,831 145,117 25,569 47,850 28,089 279,456 82,449 610,429 125,893 61,346 239,899 47,880 87,867 562,885 40,946 298,899 59,703 29,867 101,337 23,569 42,583 257,059 41,503 311,530 66,190 31,479 138,562 24,311 45,284 305,826 113,780 36,952 47,799 55,429 24,078 278,038 361,086 49,015 18,169 23,426 23,392 11,024 125,026 155,779 64,765 18,783 24,373 32,037 13,054 153,012 205,307 51,287 105,752 34,096 43,798 50,467 285,400 328,315 26,273 45,123 16,615 21,272 21,085 130,368 141,100 25,014 60,629 17,481 22,526 29,382 155,032 187,215 51,770 47,625 97,753 31,264 39,860 268,272 324,551 25,319 24,194 41,299 15,099 19,184 125,095 137,808 26,451 23,431 56,454 16,165 20,676 143,177 186,743 58 Table A.5: Tanzania: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2025 – 2027 Age Total 0 1 2 3 4 0-4 5 6 7 8 9 5-9 10 11 12 13 14 10 - 14 15 16 17 18 19 15 - 19 20 21 22 23 24 20 - 24 25 26 27 28 29 25 - 29 30 31 32 33 34 30 - 34 35 36 37 38 39 35 - 39 Both Sexes 2025 Male Female Both Sexes 2026 Male Female Both Sexes 2027 Male Female 67,036,280 2,351,885 32,930,776 1,189,077 34,105,504 1,162,808 69,054,148 2,407,161 33,939,770 1,217,046 35,114,378 1,190,115 71,106,934 2,445,495 34,965,918 1,236,443 36,141,016 1,209,052 2,256,112 2,188,363 2,139,718 2,095,988 1,138,605 1,104,372 1,079,676 1,057,483 1,117,507 1,083,991 1,060,042 1,038,505 2,305,737 2,239,903 2,178,618 2,133,128 1,163,717 1,130,436 1,099,350 1,076,224 1,142,020 1,109,467 1,079,268 1,056,904 2,361,214 2,289,615 2,230,198 2,172,083 1,191,787 1,155,576 1,125,418 1,095,919 1,169,427 1,134,039 1,104,780 1,076,164 11,032,066 2,030,897 1,972,257 1,921,270 5,569,213 1,024,477 994,765 968,996 5,462,853 1,006,420 977,492 952,274 11,264,547 2,091,255 2,027,376 1,969,452 5,686,773 1,054,975 1,022,596 993,250 5,577,774 1,036,280 1,004,780 976,202 11,498,605 2,128,438 2,087,728 2,024,574 5,805,143 1,073,733 1,053,084 1,021,075 5,693,462 1,054,705 1,034,644 1,003,499 1,885,210 1,850,912 9,660,546 1,795,548 950,783 933,363 4,872,384 905,257 934,427 917,549 4,788,162 890,291 1,918,934 1,883,177 9,890,194 1,849,121 967,716 949,657 4,988,194 932,360 951,218 933,520 4,902,000 916,761 1,967,120 1,916,924 10,124,784 1,881,401 991,971 966,599 5,106,462 948,658 975,149 950,325 5,018,322 932,743 1,739,748 1,688,002 1,410,320 1,302,685 876,993 850,797 701,220 653,861 862,755 837,205 709,100 648,824 1,793,945 1,738,255 1,686,534 1,409,007 904,354 876,147 849,961 700,480 889,591 862,108 836,573 708,527 1,847,516 1,792,445 1,736,789 1,684,998 931,449 903,496 875,309 849,085 916,067 888,949 861,480 835,913 7,936,303 1,439,372 1,425,060 1,462,323 3,988,128 719,904 711,301 729,329 3,948,175 719,468 713,759 732,994 8,476,862 1,301,321 1,437,673 1,423,204 4,263,302 653,088 718,937 710,237 4,213,560 648,233 718,736 712,967 8,943,149 1,407,584 1,299,822 1,435,837 4,507,997 699,671 652,226 717,883 4,435,152 707,913 647,596 717,954 1,387,854 1,395,622 7,110,231 1,370,276 1,256,559 1,130,571 1,313,827 931,555 701,691 697,289 3,559,514 689,874 619,128 560,558 656,739 457,675 686,163 698,333 3,550,717 680,402 637,431 570,013 657,088 473,880 1,460,240 1,385,716 7,008,154 1,393,313 1,367,845 1,254,217 1,128,362 1,311,173 728,130 700,438 3,510,830 695,937 688,430 617,762 559,265 655,184 732,110 685,278 3,497,324 697,376 679,415 636,455 569,097 655,989 1,421,225 1,458,048 7,022,516 1,383,469 1,390,902 1,365,348 1,251,831 1,126,146 709,095 726,854 3,505,729 699,104 694,508 686,943 616,367 557,973 712,130 731,194 3,516,787 684,365 696,394 678,405 635,464 568,173 6,002,788 1,411,278 998,372 1,007,946 2,983,974 711,138 496,264 497,626 3,018,814 700,140 502,108 510,320 6,454,910 929,617 1,408,262 996,183 3,216,578 456,564 709,387 495,018 3,238,332 473,053 698,875 501,165 6,517,696 1,308,515 927,681 1,405,236 3,254,895 653,637 455,460 707,637 3,262,801 654,878 472,221 697,599 945,579 908,695 5,271,870 846,423 475,733 442,072 2,622,833 414,679 469,846 466,623 2,649,037 431,744 1,005,655 943,352 5,283,069 906,485 496,335 474,462 2,631,766 440,856 509,320 468,890 2,651,303 465,629 993,967 1,003,342 5,638,741 941,103 493,759 495,038 2,805,531 473,183 500,208 508,304 2,833,210 467,920 1,025,299 747,056 1,095,100 604,514 490,363 341,901 484,771 280,484 534,936 405,155 610,329 324,030 844,287 1,022,600 745,009 1,091,956 413,498 488,910 340,840 483,189 430,789 533,690 404,169 608,767 904,252 842,116 1,019,856 742,915 439,625 412,299 487,426 339,752 464,627 429,817 532,430 403,163 4,318,392 874,099 593,196 646,118 832,096 609,912 3,555,421 2,012,198 396,256 268,093 291,839 378,959 277,246 1,612,393 2,306,194 477,843 325,103 354,279 453,137 332,666 1,943,028 4,610,337 602,680 871,308 591,195 643,806 828,948 3,537,937 2,167,293 279,518 394,811 267,055 290,635 377,301 1,609,320 2,443,044 323,162 476,497 324,140 353,171 451,647 1,928,617 4,450,242 1,088,726 600,794 868,429 589,136 641,419 3,788,504 2,152,285 481,557 278,519 393,308 265,980 289,381 1,708,745 2,297,957 607,169 322,275 475,121 323,156 352,038 2,079,759 59 Table A.5: Tanzania: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2025 – 2027 Age 40 41 42 43 44 40 - 44 45 46 47 48 49 45 - 49 50 51 52 53 54 50 - 54 55 56 57 58 59 55 - 59 60 61 62 63 64 60 - 64 65 66 67 68 69 65 - 69 70 71 72 73 74 70 - 74 75 76 77 78 79 75 - 79 80+ Both Sexes 2025 Male Female Both Sexes 2026 Male Female Both Sexes 2027 Male Female 552,790 782,974 256,126 352,329 296,664 430,645 607,462 550,427 275,949 254,851 331,513 295,576 825,694 604,922 375,578 274,598 450,116 330,324 465,652 998,320 328,867 3,128,603 657,307 385,403 377,017 673,741 403,432 2,496,900 369,767 509,390 299,843 695,458 182,481 2,056,939 390,843 211,870 220,820 397,277 208,237 454,389 157,357 1,428,438 313,542 185,784 181,714 325,996 192,316 1,199,352 180,004 239,488 141,782 329,757 90,590 981,621 197,091 102,358 109,815 192,966 257,415 543,931 171,510 1,700,165 343,765 199,619 195,303 347,745 211,116 1,297,548 189,763 269,902 158,061 365,701 91,891 1,075,318 193,752 109,512 111,005 204,311 779,418 463,401 993,154 3,393,862 327,038 653,386 382,926 374,405 668,721 2,406,476 400,177 366,533 504,575 296,780 687,767 2,255,832 180,285 385,724 208,888 217,410 350,450 207,048 451,611 1,539,909 156,325 311,329 184,368 180,218 323,103 1,155,343 190,458 178,123 236,762 140,039 325,381 1,070,763 89,291 194,031 100,639 107,803 428,968 256,353 541,543 1,853,953 170,713 342,057 198,558 194,187 345,618 1,251,133 209,719 188,410 267,813 156,741 362,386 1,185,069 90,994 191,693 108,249 109,607 547,972 775,723 461,056 3,215,367 987,763 325,120 649,272 380,326 371,652 2,714,133 663,415 396,732 363,115 499,494 293,550 2,216,306 679,663 177,960 380,320 205,740 253,520 348,483 205,802 1,457,981 448,695 155,242 308,997 182,879 178,634 1,274,447 320,038 188,485 176,133 233,886 138,202 1,056,744 320,771 87,920 190,803 98,826 294,452 427,240 255,254 1,757,386 539,068 169,878 340,275 197,447 193,018 1,439,686 343,377 208,247 186,982 265,608 155,348 1,159,562 358,892 90,040 189,517 106,914 207,144 1,427,954 177,148 277,023 221,217 391,793 131,398 1,198,579 197,050 105,580 126,929 167,675 101,858 704,088 87,689 132,228 78,138 174,197 67,697 539,949 99,289 52,024 64,239 78,095 105,286 723,866 89,459 144,795 143,079 217,596 63,701 658,630 97,761 53,556 62,690 89,580 390,685 1,382,992 203,377 173,642 271,089 216,273 381,903 1,246,284 127,687 191,010 102,072 122,298 189,154 680,918 99,655 85,629 128,852 75,963 168,936 559,035 65,467 95,744 50,011 61,533 201,531 702,074 103,722 88,013 142,237 140,310 212,967 687,249 62,220 95,266 52,061 60,765 213,804 1,657,487 383,714 199,393 169,944 264,828 211,064 1,228,943 371,498 123,783 184,701 98,409 105,675 803,995 185,126 97,330 83,464 125,301 73,686 564,907 163,434 63,138 92,064 47,925 108,129 853,492 198,588 102,063 86,480 139,527 137,378 664,036 208,064 60,645 92,637 50,484 109,147 706,381 78,864 119,959 58,191 226,786 44,992 528,792 53,037 346,684 38,908 56,477 28,121 94,982 21,973 240,461 56,110 359,697 39,956 63,482 30,070 131,804 23,019 288,331 161,132 704,199 104,463 75,176 113,872 54,989 213,479 561,979 74,555 347,310 50,420 36,831 53,203 26,369 88,606 255,429 86,577 356,889 54,043 38,345 60,669 28,620 124,873 306,550 117,482 895,873 154,352 99,628 71,392 107,674 51,745 484,791 58,742 425,303 70,925 47,747 34,722 49,902 24,606 227,902 58,740 470,570 83,427 51,881 36,670 57,772 27,139 256,889 82,150 48,120 43,980 89,817 28,478 292,545 311,970 39,475 23,331 22,147 37,557 13,625 136,135 133,411 42,675 24,789 21,833 52,260 14,853 156,410 178,559 42,087 76,429 44,484 40,370 81,969 285,339 291,175 20,380 36,395 21,369 20,147 33,923 132,214 124,793 21,707 40,034 23,115 20,223 48,046 153,125 166,382 200,053 39,173 70,723 40,880 36,813 387,642 322,155 82,240 18,799 33,361 19,454 18,205 172,059 135,793 117,813 20,374 37,362 21,426 18,608 215,583 186,362 60 Table A.6: Tanzania: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2028 - 2030 Age Total 0 1 2 3 4 0-4 5 6 7 8 9 5-9 10 11 12 13 14 10 - 14 15 16 17 18 19 15 - 19 20 21 22 23 24 20 - 24 25 26 27 28 29 25 - 29 30 31 32 33 34 30 - 34 35 36 37 38 39 35 - 39 Both Sexes 2028 Male Female Both Sexes 2029 Male Female Both Sexes 2030 Male Female 73,197,399 36,011,021 37,186,378 75,344,775 37,084,396 38,260,379 77,537,166 38,180,035 39,357,131 2,489,332 2,400,125 2,345,163 1,258,627 1,211,490 1,183,668 1,230,705 1,188,635 1,161,495 2,550,156 2,444,469 2,384,272 1,289,399 1,233,942 1,203,458 1,260,757 1,210,527 1,180,814 2,599,879 2,505,547 2,428,798 1,314,562 1,264,839 1,225,985 1,285,317 1,240,708 1,202,813 2,279,967 2,223,697 11,738,284 2,167,445 1,150,580 1,122,001 5,926,366 1,093,452 1,129,387 1,101,696 5,811,918 1,073,993 2,335,557 2,273,509 11,987,963 2,219,080 1,178,682 1,147,174 6,052,655 1,119,538 1,156,875 1,126,335 5,935,308 1,099,542 2,374,791 2,329,131 12,238,146 2,268,919 1,198,526 1,175,287 6,179,199 1,144,720 1,176,265 1,153,844 6,058,947 1,124,199 2,124,945 2,084,918 2,022,241 1,965,116 1,071,857 1,051,556 1,019,792 990,855 1,053,088 1,033,362 1,002,449 974,261 2,163,987 2,122,165 2,082,579 2,020,230 1,091,587 1,070,342 1,050,263 1,018,668 1,072,400 1,051,823 1,032,316 1,001,562 2,215,639 2,161,231 2,119,858 2,080,574 1,117,678 1,090,079 1,069,061 1,049,138 1,097,961 1,071,152 1,050,797 1,031,436 10,364,665 1,915,158 1,879,808 1,846,004 1,790,966 1,735,238 9,167,174 1,683,321 5,227,512 965,607 947,756 930,589 902,653 874,422 4,621,027 848,117 5,137,153 949,551 932,052 915,415 888,313 860,816 4,546,147 835,204 10,608,041 1,963,350 1,913,581 1,878,313 1,844,523 1,789,416 9,389,183 1,733,558 5,350,398 989,857 964,707 946,904 929,742 901,761 4,732,971 873,448 5,257,643 973,493 948,874 931,409 914,781 887,655 4,656,212 860,110 10,846,221 2,018,470 1,961,777 1,912,102 1,876,840 1,842,966 9,612,155 1,787,723 5,470,676 1,017,668 988,959 963,858 946,052 928,841 4,845,378 900,778 5,375,545 1,000,802 972,818 948,244 930,788 914,125 4,766,777 886,945 1,406,005 1,298,209 1,433,894 1,419,135 698,769 651,292 716,752 707,874 707,236 646,917 717,142 711,261 1,681,471 1,404,311 1,296,490 1,431,840 847,047 697,790 650,289 715,546 834,424 706,521 646,201 716,294 1,731,702 1,679,479 1,402,505 1,294,680 872,366 845,877 696,736 649,216 859,336 833,602 705,769 645,464 7,240,564 1,455,749 1,381,133 1,388,416 3,622,804 725,499 697,702 693,032 3,617,760 730,250 683,431 695,384 7,547,670 1,416,944 1,453,345 1,378,722 3,784,120 706,577 724,069 696,249 3,763,550 710,367 729,276 682,473 7,896,089 1,429,679 1,414,658 1,450,877 3,964,973 714,259 705,210 722,593 3,931,116 715,420 709,448 728,284 1,362,794 1,249,420 6,837,512 1,123,925 685,417 614,961 3,416,611 556,680 677,377 634,459 3,420,901 567,245 1,385,885 1,360,220 6,995,116 1,247,005 691,523 683,886 3,502,304 613,561 694,362 676,334 3,492,812 633,444 1,376,269 1,383,337 7,054,820 1,357,641 694,768 690,009 3,526,839 682,359 681,501 693,328 3,527,981 675,282 1,305,846 925,744 1,402,180 991,740 652,088 454,357 705,874 492,493 653,758 471,387 696,306 499,247 1,121,698 1,303,174 923,787 1,399,096 555,391 650,544 453,252 704,099 566,307 652,630 470,535 694,997 1,244,595 1,119,461 1,300,484 921,816 612,171 554,102 648,994 452,135 632,424 565,359 651,490 469,681 5,749,435 1,001,007 938,826 901,982 2,861,492 493,724 471,884 438,378 2,887,943 507,283 466,942 463,604 5,994,760 989,487 998,646 936,522 2,976,847 491,218 492,403 470,577 3,017,913 498,269 506,243 465,945 5,943,997 1,395,986 987,213 996,258 2,949,761 702,311 489,929 491,062 2,994,236 693,675 497,284 505,196 839,903 1,017,043 4,698,761 740,772 411,072 485,905 2,300,963 338,632 428,831 531,138 2,397,798 402,140 899,670 837,641 4,661,966 1,014,158 437,102 409,815 2,301,115 484,333 462,568 427,826 2,360,851 529,825 934,175 897,305 5,210,937 835,322 469,239 435,790 2,588,331 408,521 464,936 461,515 2,622,606 426,801 1,085,403 598,851 865,460 587,001 479,865 277,481 391,754 264,856 605,538 321,370 473,706 322,145 738,560 1,081,987 596,845 862,390 337,471 478,117 276,405 390,132 401,089 603,870 320,440 472,258 1,011,183 736,288 1,078,453 594,773 482,703 336,267 476,295 275,285 528,480 400,021 602,158 319,488 3,877,487 1,752,588 2,124,899 4,293,940 1,966,458 2,327,482 4,256,019 1,979,071 2,276,948 61 Table A.6: Tanzania: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2028 - 2030 Age 40 41 42 43 44 40 - 44 45 46 47 48 49 45 - 49 50 51 52 53 54 50 - 54 55 56 57 58 59 55 - 59 60 61 62 63 64 60 - 64 65 66 67 68 69 65 - 69 70 71 72 73 74 70 - 74 75 76 77 78 79 75 - 79 80+ Both Sexes 2028 Male Female Both Sexes 2029 Male Female Both Sexes 2030 Male Female 638,952 822,316 288,082 373,774 350,870 448,542 584,797 636,395 263,688 286,723 321,109 349,672 859,210 582,504 388,441 262,468 470,769 320,036 602,286 545,417 771,860 3,380,831 458,605 982,116 323,107 644,937 377,578 2,786,343 368,742 657,793 393,100 359,493 494,123 2,273,251 290,140 671,099 175,507 374,602 273,186 252,123 346,418 1,533,583 204,494 445,629 154,094 306,529 181,298 1,292,044 176,956 316,783 186,403 174,021 230,844 1,085,007 136,264 315,906 86,473 187,393 329,100 293,294 425,442 1,847,248 254,111 536,487 169,013 338,408 196,280 1,494,299 191,786 341,010 206,697 185,472 263,279 1,188,244 153,876 355,193 89,034 187,209 818,793 599,531 542,744 3,182,260 767,828 456,036 976,179 320,985 640,353 3,161,381 374,672 365,662 651,850 389,255 355,672 2,137,111 488,457 286,543 662,051 172,918 371,884 271,702 250,657 1,444,654 344,255 203,115 442,392 152,882 303,917 1,446,561 179,619 175,175 313,336 184,198 171,794 1,024,122 227,643 134,223 310,774 84,946 446,909 327,829 292,087 1,737,606 423,573 252,921 533,787 168,103 336,436 1,714,820 195,053 190,487 338,514 205,057 183,878 1,112,989 260,814 152,320 351,277 87,972 633,730 815,130 596,658 3,487,232 539,951 763,588 453,344 969,929 318,747 3,045,559 635,522 371,593 362,406 645,565 385,187 2,400,273 351,634 482,473 282,731 652,472 285,297 369,909 270,148 1,576,263 249,117 341,967 201,663 438,972 151,599 1,383,318 301,150 177,841 173,288 309,687 181,865 1,143,831 169,447 224,261 132,062 305,346 348,433 445,221 326,510 1,910,969 290,834 421,621 251,681 530,957 167,148 1,662,241 334,372 193,752 189,118 335,878 203,322 1,256,442 182,187 258,212 150,669 347,126 202,403 1,713,751 209,995 376,347 195,192 166,046 258,228 1,205,808 205,578 360,582 119,709 178,122 96,905 822,941 103,427 180,879 94,885 81,188 121,581 581,960 71,309 157,704 60,725 88,258 105,498 890,810 106,568 195,468 100,307 84,858 136,647 623,848 134,269 202,878 58,984 89,864 368,550 1,978,519 198,880 205,968 368,560 190,757 161,936 1,126,101 251,283 199,801 349,144 115,467 183,785 941,371 94,879 101,058 176,397 92,311 78,803 543,448 117,691 68,827 151,752 58,228 184,765 1,037,148 104,001 104,910 192,163 98,446 83,133 582,653 133,592 130,974 197,392 57,239 170,174 1,939,484 362,151 195,154 201,713 360,343 186,080 1,305,441 157,615 243,999 193,739 337,193 83,331 914,447 179,973 92,737 98,559 171,691 89,614 632,574 76,307 113,639 66,249 145,588 86,843 1,025,037 182,178 102,417 103,154 188,652 96,466 672,867 81,308 130,360 127,490 191,605 94,612 958,603 112,504 147,337 94,668 67,534 101,376 523,419 45,780 423,776 55,881 67,207 45,030 32,593 46,584 247,295 48,832 534,827 56,623 80,130 49,638 34,941 54,792 276,124 171,285 1,086,980 90,669 107,360 140,128 89,608 63,616 491,381 84,334 480,832 43,576 52,955 63,423 42,289 30,449 232,692 86,951 606,148 47,093 54,405 76,705 47,319 33,167 258,689 111,053 1,043,599 164,189 86,598 102,088 132,767 84,460 570,102 55,652 457,435 80,298 41,320 49,981 59,600 39,523 270,722 55,401 586,164 83,891 45,278 52,107 73,167 44,937 299,380 48,469 186,574 36,273 65,056 37,323 373,695 307,816 22,848 75,925 17,243 30,392 17,592 164,000 131,052 25,621 110,649 19,030 34,664 19,731 209,695 176,764 95,036 45,188 173,086 33,387 59,448 406,145 296,258 43,271 21,104 69,688 15,719 27,499 177,281 126,567 51,765 24,084 103,398 17,668 31,949 228,864 169,691 59,670 88,667 41,904 159,632 30,532 380,405 306,687 28,313 39,980 19,377 63,567 14,231 165,468 131,749 31,357 48,687 22,527 96,065 16,301 214,937 174,938 62 Table A.7: Tanzania: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2031 - 2033 Age Total 0 1 2 3 4 0-4 5 6 7 8 9 5-9 10 11 12 13 14 10 - 14 15 16 17 18 19 15 - 19 20 21 22 23 24 20 - 24 25 26 27 28 29 25 - 29 30 31 32 33 34 30 - 34 35 36 37 38 39 35 - 39 Both Sexes 2031 Male 2032 Male Female Both Sexes 2033 Male Female 79,776,176 2,652,600 39,298,925 1,341,241 40,477,251 1,311,359 82,057,431 2,699,841 40,438,763 1,365,158 41,618,668 1,334,683 84,380,103 2,751,828 41,599,888 1,391,474 42,780,215 1,360,354 2,555,754 2,489,956 2,419,420 2,368,444 1,290,245 1,256,903 1,221,093 1,195,159 1,265,509 1,233,053 1,198,327 1,173,285 2,608,949 2,540,330 2,480,632 2,413,152 1,317,166 1,282,375 1,252,023 1,217,759 1,291,783 1,257,955 1,228,609 1,195,393 2,656,786 2,593,681 2,531,098 2,474,392 1,341,391 1,309,356 1,277,533 1,248,697 1,315,395 1,284,325 1,253,565 1,225,695 12,486,174 2,324,564 2,265,504 2,212,902 6,304,641 1,172,834 1,142,866 1,116,176 6,181,533 1,151,730 1,122,638 1,096,726 12,742,904 2,363,945 2,321,170 2,262,787 6,434,481 1,192,737 1,170,990 1,141,375 6,308,423 1,171,208 1,150,180 1,121,412 13,007,785 2,408,699 2,360,592 2,318,466 6,568,451 1,215,353 1,190,908 1,169,497 6,439,334 1,193,346 1,169,684 1,148,969 2,158,948 2,117,867 11,079,785 2,078,816 1,088,812 1,067,943 5,588,631 1,048,138 1,070,136 1,049,924 5,491,154 1,030,678 2,210,628 2,156,976 11,315,506 2,116,123 1,114,910 1,087,699 5,707,711 1,066,946 1,095,718 1,069,277 5,607,795 1,049,177 2,260,529 2,208,666 11,556,952 2,155,250 1,140,109 1,113,798 5,829,665 1,086,711 1,120,420 1,094,868 5,727,287 1,068,539 2,016,891 1,960,304 1,910,644 1,875,303 1,016,766 988,110 963,017 945,161 1,000,125 972,194 947,627 930,142 2,077,228 2,015,422 1,958,848 1,909,121 1,047,228 1,015,914 987,267 962,131 1,030,000 999,508 971,581 946,990 2,114,556 2,075,750 2,013,966 1,957,330 1,066,044 1,046,369 1,015,072 986,379 1,048,512 1,029,381 998,894 970,951 9,841,958 1,841,270 1,785,864 1,729,703 4,961,192 927,853 899,692 871,192 4,880,766 913,417 886,172 858,511 10,076,742 1,873,625 1,839,407 1,783,859 5,079,486 944,179 926,759 898,504 4,997,256 929,446 912,648 885,355 10,316,852 1,907,461 1,871,775 1,837,394 5,200,575 961,152 943,087 925,563 5,116,277 946,309 928,688 911,831 1,677,362 1,400,614 8,434,813 1,292,785 1,427,440 1,412,314 1,448,360 1,373,797 844,624 695,621 4,238,982 648,076 712,913 703,802 721,082 693,280 832,738 704,993 4,195,831 644,709 714,527 708,512 727,278 680,517 1,727,586 1,675,142 8,899,619 1,398,627 1,290,810 1,425,136 1,409,922 1,445,828 869,930 843,292 4,482,664 694,428 646,881 711,518 702,361 719,567 857,656 831,850 4,416,955 704,199 643,929 713,618 707,561 726,261 1,781,733 1,725,358 9,123,721 1,672,814 1,396,562 1,288,784 1,422,786 1,407,512 897,233 868,587 4,595,622 841,876 693,181 645,645 710,095 700,912 884,500 856,771 4,528,099 830,938 703,381 643,139 712,691 706,600 6,954,696 1,380,775 1,355,070 1,242,169 3,479,153 688,495 680,839 610,774 3,475,543 692,280 674,231 631,395 6,970,323 1,371,317 1,378,226 1,352,482 3,474,755 691,792 686,994 679,318 3,495,568 679,525 691,232 673,164 7,188,458 1,443,290 1,368,842 1,375,663 3,591,709 718,057 690,316 685,492 3,596,749 725,233 678,526 690,171 1,117,212 1,297,769 6,392,995 919,828 552,810 647,432 3,180,350 451,012 564,402 650,337 3,212,645 468,816 1,239,729 1,114,950 6,456,704 1,295,027 609,376 551,509 3,218,989 645,853 630,353 563,441 3,237,715 649,174 1,349,878 1,237,269 6,774,942 1,112,665 677,788 607,962 3,379,615 550,197 672,090 629,307 3,395,327 562,468 1,392,857 984,911 993,821 931,774 700,511 488,626 489,691 467,862 692,346 496,285 504,130 463,912 917,824 1,389,672 982,562 991,331 449,876 698,681 487,293 488,286 467,948 690,991 495,269 503,045 1,292,265 915,786 1,386,425 980,170 644,267 448,727 696,813 485,929 647,998 467,059 689,612 494,241 5,223,191 894,881 832,930 1,008,122 733,931 1,074,799 4,544,663 2,597,702 434,442 407,174 481,018 335,012 474,398 2,132,044 2,625,489 460,439 425,756 527,104 398,919 600,401 2,412,619 5,576,416 929,306 892,382 830,468 1,004,963 731,504 4,388,623 2,769,989 466,447 433,039 405,781 479,263 333,711 2,118,241 2,806,427 462,859 459,343 424,687 525,700 397,793 2,270,382 5,687,311 988,772 926,765 889,808 827,918 1,001,687 4,634,950 2,825,933 486,835 464,977 431,590 404,328 477,440 2,265,170 2,861,378 501,937 461,788 458,218 423,590 524,247 2,369,780 Female Both Sexes 63 Table A.7: Tanzania: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2031 - 2033 Age 40 41 42 43 44 40 - 44 45 46 47 48 49 45 - 49 50 51 52 53 54 50 - 54 55 56 57 58 59 55 - 59 60 61 62 63 64 60 - 64 65 66 67 68 69 65 - 69 70 71 72 73 74 70 - 74 75 76 77 78 79 75 - 79 80+ Both Sexes 2031 Male 2032 Male Female Both Sexes 2033 Male Female 592,621 855,911 274,115 386,679 318,506 469,232 1,071,014 590,389 472,421 272,894 598,593 317,495 728,983 1,067,085 332,352 470,358 396,631 596,727 580,120 630,950 811,299 3,470,901 593,652 537,026 759,148 450,501 963,328 3,303,655 316,375 630,398 368,340 358,959 638,919 2,312,991 380,899 347,373 476,137 278,703 261,189 283,805 367,836 1,573,624 268,516 247,498 339,562 200,130 435,348 1,491,054 150,238 298,207 175,952 171,290 305,829 1,101,516 179,408 166,965 220,685 129,781 318,931 347,145 443,463 1,897,277 325,136 289,528 419,586 250,371 527,980 1,812,601 166,137 332,191 192,388 187,669 333,090 1,211,475 201,491 180,408 255,452 148,922 852,473 577,633 628,050 3,719,559 807,296 590,501 533,944 754,459 447,500 3,133,700 956,340 313,863 624,972 364,902 355,315 2,615,392 631,895 376,359 342,866 469,433 384,829 259,849 282,239 1,672,232 365,653 266,794 245,785 337,012 198,502 1,413,746 431,495 148,790 295,086 173,958 169,174 1,218,503 301,757 176,809 164,346 216,906 467,644 317,784 345,811 2,047,327 441,643 323,707 288,159 417,447 248,998 1,719,954 524,845 165,073 329,886 190,944 186,141 1,396,889 330,138 199,550 178,520 252,527 588,063 848,890 575,033 3,808,054 625,010 803,088 587,191 530,705 749,503 3,295,497 444,323 948,936 311,208 619,225 361,255 2,684,947 351,468 624,465 371,557 338,085 271,616 382,891 258,441 1,715,658 280,589 363,354 264,981 243,977 334,308 1,487,209 196,770 427,402 147,258 291,774 171,840 1,235,044 166,945 297,453 174,065 161,571 316,447 465,999 316,592 2,092,396 344,421 439,734 322,210 286,728 415,195 1,808,288 247,553 521,534 163,950 327,451 189,415 1,449,903 184,523 327,012 197,492 176,514 642,326 2,125,438 167,263 355,381 191,210 197,224 351,667 1,262,745 181,162 153,074 236,359 187,389 299,599 996,438 81,618 175,942 90,476 95,933 166,746 610,715 86,795 73,703 109,423 63,579 342,727 1,129,000 85,645 179,439 100,734 101,291 184,921 652,030 94,367 79,371 126,936 123,810 274,430 2,094,983 631,578 164,189 348,217 187,047 192,487 1,523,518 342,529 175,994 148,316 228,379 127,360 987,178 293,514 79,811 171,685 88,101 93,175 726,286 161,572 83,853 70,997 105,054 147,070 1,107,805 338,064 84,378 176,532 98,946 99,312 797,232 180,957 92,141 77,319 123,325 462,325 2,147,900 269,907 620,196 160,938 340,654 182,655 1,574,350 187,495 332,919 170,574 143,347 212,900 1,012,934 124,797 287,077 77,903 167,213 85,607 742,597 90,288 156,169 80,788 68,192 249,425 1,134,966 145,110 333,119 83,035 173,441 97,048 831,753 97,207 176,750 89,786 75,155 324,734 1,082,718 106,473 156,861 82,417 96,697 125,279 567,727 139,218 472,718 53,002 76,174 39,028 46,971 55,751 270,926 185,516 610,000 53,471 80,687 43,389 49,726 69,528 296,801 180,764 1,075,982 311,780 101,745 149,330 78,134 91,223 732,212 60,824 482,300 132,672 50,295 71,972 36,702 43,943 335,584 119,940 593,682 179,108 51,450 77,358 41,432 47,280 396,628 220,058 1,054,393 173,856 298,374 96,882 141,622 73,784 784,518 100,542 495,979 57,987 125,968 47,535 67,714 34,360 333,564 119,516 558,414 115,869 172,406 49,347 73,908 39,424 450,954 79,275 55,702 82,297 38,643 146,272 402,189 289,537 36,762 26,183 36,728 17,689 57,600 174,962 124,277 42,513 29,519 45,569 20,954 88,672 227,227 165,260 117,708 74,058 51,726 75,945 35,400 354,837 380,411 51,897 34,016 24,076 33,537 16,036 159,562 157,056 65,811 40,042 27,650 42,408 19,364 195,275 223,355 85,693 110,081 68,828 47,757 69,635 381,994 357,479 40,911 48,054 31,294 22,001 30,422 172,682 147,481 44,782 62,027 37,534 25,756 39,213 209,312 209,998 Female Both Sexes 64 Table A.8: Tanzania: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2034 - 2035 Age Total 0 1 2 3 4 0-4 5 6 7 8 9 5-9 10 11 12 13 14 10-14 15 16 17 18 19 15 - 19 20 21 22 23 24 20 - 24 25 26 27 28 29 25 - 29 30 31 32 33 34 30 - 34 35 36 37 38 39 35 - 39 2034 2035 Both Sexes Male Female Both Sexes Male Female 86,766,463 2,819,821 42,792,577 1,425,876 43,973,886 1,393,945 89,204,781 2,878,507 44,011,124 1,455,573 45,193,657 1,422,934 2,709,347 2,641,722 2,584,546 2,524,925 1,368,002 1,333,672 1,304,552 1,274,231 1,341,345 1,308,050 1,279,994 1,250,694 2,777,714 2,694,489 2,632,719 2,578,442 1,402,600 1,360,372 1,328,924 1,301,281 1,375,114 1,334,117 1,303,795 1,277,161 13,280,361 2,469,962 2,405,379 2,357,920 6,706,333 1,246,297 1,213,537 1,189,430 6,574,028 1,223,665 1,191,842 1,168,490 13,561,871 2,520,549 2,466,673 2,402,749 6,848,750 1,271,854 1,244,490 1,212,078 6,713,121 1,248,695 1,222,183 1,190,671 2,316,222 2,258,584 11,808,067 2,206,951 1,168,238 1,139,005 5,956,507 1,112,811 1,147,984 1,119,579 5,851,560 1,094,140 2,355,707 2,314,281 12,059,959 2,256,876 1,188,182 1,167,129 6,083,733 1,138,019 1,167,525 1,147,152 5,976,226 1,118,857 2,153,702 2,113,098 2,074,293 2,012,446 1,085,812 1,065,196 1,045,519 1,014,178 1,067,890 1,047,902 1,028,774 998,268 2,205,414 2,152,256 2,111,659 2,072,773 1,111,917 1,084,968 1,064,350 1,044,621 1,093,497 1,067,288 1,047,309 1,028,152 10,560,490 1,955,673 1,905,629 1,869,790 5,323,516 985,397 960,070 941,903 5,236,974 970,276 945,559 927,887 10,798,978 2,010,788 1,953,856 1,903,662 5,443,875 1,013,197 984,316 958,888 5,355,103 997,591 969,540 944,774 1,835,264 1,779,494 9,345,850 1,723,023 1,670,387 1,394,438 1,286,710 1,420,418 924,282 895,879 4,707,531 867,161 840,386 691,886 644,379 708,663 910,982 883,615 4,638,319 855,862 830,001 702,552 642,331 711,755 1,867,685 1,833,025 9,569,016 1,777,154 1,720,599 1,667,896 1,392,282 1,284,632 940,632 922,921 4,819,954 894,441 865,664 838,846 690,571 643,113 927,053 910,104 4,749,062 882,713 854,935 829,050 701,711 641,519 7,494,976 1,405,101 1,440,752 1,366,356 3,752,475 699,468 716,555 688,836 3,742,501 705,633 724,197 677,520 7,842,563 1,418,052 1,402,686 1,438,207 3,932,635 707,237 698,031 715,050 3,909,928 710,815 704,655 723,157 1,373,081 1,347,255 6,932,545 1,234,789 683,976 676,249 3,465,084 606,544 689,105 671,006 3,467,461 628,245 1,363,853 1,370,484 6,993,282 1,344,616 687,352 682,460 3,490,130 674,707 676,501 688,024 3,503,152 669,909 1,110,360 1,289,464 913,718 1,383,122 548,877 642,658 447,556 694,904 561,483 646,806 466,162 688,218 1,232,291 1,108,023 1,286,614 911,598 605,115 547,537 641,016 446,351 627,176 560,486 645,598 465,247 5,931,453 977,695 986,138 924,139 887,141 825,279 4,600,392 2,940,539 484,512 485,332 463,450 430,079 402,820 2,266,193 2,990,914 493,183 500,806 460,689 457,062 422,459 2,334,199 5,883,142 1,379,716 975,158 983,414 921,424 884,380 5,144,092 2,914,726 692,927 483,051 483,771 461,863 428,506 2,550,118 2,968,416 686,789 492,107 499,643 459,561 455,874 2,593,974 65 Table A.8: Tanzania: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2034 - 2035 Age 40 41 42 43 44 40 - 44 45 46 47 48 49 45 - 49 50 51 52 53 54 50 - 54 55 56 57 58 59 55 - 59 60 61 62 63 64 60 - 64 65 66 67 68 69 65 - 69 70 71 72 73 74 70 - 74 75 76 77 78 79 75 - 79 80+ 2034 2035 Both Sexes Male Female Both Sexes Male Female 998,286 726,359 475,533 330,929 522,753 395,430 822,538 994,757 401,246 473,543 421,292 521,214 1,062,983 585,639 845,138 4,218,405 572,309 621,823 798,664 583,697 527,276 3,103,769 744,265 440,960 941,091 308,393 613,155 3,047,864 357,408 347,395 616,601 366,474 468,192 270,274 380,853 1,925,781 256,960 278,852 360,920 263,056 242,055 1,401,843 331,439 194,929 423,054 145,630 288,279 1,383,331 169,610 164,585 292,899 171,157 594,791 315,365 464,285 2,292,624 315,349 342,971 437,744 320,641 285,221 1,701,926 412,826 246,031 518,037 162,763 324,876 1,664,533 187,798 182,810 323,702 195,317 723,631 1,058,702 583,094 4,182,722 841,207 569,456 618,472 793,997 579,999 3,403,131 523,641 738,707 437,395 932,779 305,421 2,937,943 606,733 353,335 343,084 608,263 329,443 465,920 268,862 1,939,014 378,709 255,401 277,020 358,347 261,013 1,530,490 240,012 328,382 192,975 418,441 143,907 1,323,717 284,578 167,246 162,091 288,071 394,188 592,782 314,232 2,243,708 462,498 314,055 341,452 435,650 318,986 1,872,641 283,629 410,325 244,420 514,338 161,514 1,614,226 322,155 186,089 180,993 320,192 333,018 2,020,896 454,791 265,121 608,150 157,496 332,667 1,818,225 178,024 182,255 322,833 164,913 158,625 956,876 208,656 122,092 280,285 75,892 162,513 849,438 82,994 87,277 150,542 77,614 174,393 1,064,020 246,135 143,029 327,865 81,604 170,154 968,787 95,030 94,978 172,291 87,299 361,071 2,272,486 327,646 446,816 260,049 595,410 153,865 1,783,786 324,251 173,153 176,758 312,282 168,070 1,070,056 155,509 204,164 119,228 273,126 73,781 825,808 157,590 80,265 84,142 144,704 193,001 1,202,430 172,137 242,652 140,821 322,284 80,084 957,978 166,661 92,888 92,616 167,578 138,160 986,185 211,404 166,684 284,544 91,905 133,780 888,317 65,289 463,716 95,893 55,085 119,129 44,736 63,422 378,265 72,871 522,469 115,511 111,599 165,415 47,169 70,358 510,052 159,002 1,145,446 132,769 202,441 159,261 270,358 86,841 851,670 74,330 541,031 62,304 91,126 52,120 112,188 41,916 359,654 84,672 604,415 70,465 111,315 107,141 158,170 44,925 492,016 69,380 80,132 102,432 63,610 43,817 359,371 369,297 32,012 37,891 44,245 28,617 19,976 162,741 152,408 37,368 42,241 58,187 34,993 23,841 196,630 216,889 125,851 64,950 74,545 94,772 58,410 418,528 356,166 59,118 29,671 34,893 40,492 25,995 190,169 147,264 66,733 35,279 39,652 54,280 32,415 228,359 208,902 66 Table B.1: Tanzania Mainland: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2013 - 2015 Both Sexes 2013 Male Female Total 45,007,503 21,931,792 0 1 2 3 4 0-4 5 6 7 8 9 5-9 10 11 12 13 14 10 -14 15 16 17 18 19 15 - 19 20 21 22 23 24 20 - 24 25 26 27 28 29 25 - 29 30 31 32 33 34 30 - 34 35 36 37 38 39 35 - 39 1,737,580 1,416,325 Age Both Sexes 2014 Male Both Sexes 2015 Male Female Female 23,075,711 46,436,671 22,647,251 23,789,420 47,918,225 23,388,678 24,529,547 878,332 704,444 859,248 711,881 1,787,341 1,689,723 903,531 852,155 883,810 837,568 1,841,082 1,739,173 930,664 877,138 910,418 862,035 1,299,704 1,428,583 1,408,026 7,290,218 652,886 715,287 703,675 3,654,624 646,818 713,296 704,351 3,635,594 1,402,291 1,291,750 1,422,550 7,593,655 697,633 648,913 712,247 3,814,479 704,658 642,837 710,303 3,779,176 1,673,228 1,393,913 1,286,405 7,933,801 844,013 693,474 646,202 3,991,491 829,215 700,439 640,203 3,942,310 1,443,456 1,370,371 1,379,328 1,353,612 720,921 693,762 690,360 682,914 722,535 676,609 688,968 670,698 1,403,696 1,440,068 1,367,756 1,377,088 701,476 719,187 692,393 689,186 702,220 720,881 675,363 687,902 1,418,267 1,400,468 1,437,368 1,365,586 710,058 699,819 717,787 691,239 708,209 700,649 719,581 674,347 1,241,924 6,788,691 1,118,791 1,302,361 613,217 3,401,174 555,969 652,483 628,707 3,387,517 562,822 649,878 1,351,684 6,940,292 1,240,339 1,117,478 681,881 3,484,123 612,377 555,263 669,803 3,456,169 627,962 562,215 1,375,161 6,996,850 1,349,984 1,238,911 688,159 3,507,062 680,960 611,612 687,002 3,489,788 669,024 627,299 923,751 1,402,129 988,140 5,735,172 455,041 708,375 492,715 2,864,583 468,710 693,754 495,425 2,870,589 1,300,900 922,700 1,400,416 5,981,833 651,686 454,475 707,433 2,981,234 649,214 468,225 692,983 3,000,599 1,116,251 1,299,451 921,592 5,926,189 554,600 650,895 453,878 2,951,945 561,651 648,556 467,714 2,974,244 1,002,582 941,011 905,287 844,171 1,022,020 4,715,071 745,736 1,093,838 607,116 875,873 593,832 3,916,395 496,769 474,911 442,500 415,582 490,832 2,320,594 343,039 485,819 283,156 398,853 269,894 1,780,761 505,813 466,100 462,787 428,589 531,188 2,394,477 402,697 608,019 323,960 477,020 323,938 2,135,634 986,792 1,001,036 939,405 903,601 842,463 4,673,297 1,019,805 744,007 1,091,159 605,553 873,546 4,334,070 491,986 495,935 474,028 441,596 414,655 2,318,200 489,646 342,144 484,469 282,335 397,663 1,996,257 494,806 505,101 465,377 462,005 427,808 2,355,097 530,159 401,863 606,690 323,218 475,883 2,337,813 1,398,533 985,299 999,359 937,691 901,815 5,222,697 840,664 1,017,479 742,219 1,088,424 603,972 4,292,758 706,396 491,172 495,027 473,076 440,627 2,606,298 413,662 488,386 341,206 483,087 281,504 2,007,845 692,137 494,127 504,332 464,615 461,188 2,616,399 427,002 529,093 401,013 605,337 322,468 2,284,913 650,556 836,090 616,686 558,685 295,087 382,495 281,706 260,444 355,469 453,595 334,980 298,241 592,214 648,727 833,684 614,850 269,074 294,169 381,283 280,787 323,140 354,558 452,401 334,063 871,210 590,585 646,883 831,254 396,472 268,251 293,244 380,063 474,738 322,334 353,639 451,191 797,098 3,459,115 474,283 1,016,057 360,653 1,580,385 213,537 465,952 436,445 1,878,730 260,746 550,105 556,963 3,246,438 794,553 472,703 259,574 1,484,887 359,402 212,765 297,389 1,761,551 435,151 259,938 612,980 3,552,912 555,203 791,954 279,854 1,617,884 258,677 358,121 333,126 1,935,028 296,526 433,833 337,202 675,813 397,281 2,900,636 162,497 324,711 193,328 1,360,025 174,705 351,102 203,953 1,540,611 1,012,553 335,975 673,249 3,289,033 464,215 161,858 323,375 1,521,615 548,338 174,117 349,874 1,767,418 471,096 1,008,978 334,725 3,161,956 211,981 462,430 161,203 1,452,412 259,115 546,548 173,522 1,709,544 390,830 694,916 420,871 387,076 190,331 340,127 203,074 191,025 200,499 354,789 217,797 196,051 395,705 389,194 691,887 418,934 192,492 189,458 338,498 202,039 203,213 199,736 353,389 216,895 670,626 394,078 387,513 688,757 321,998 191,625 188,557 336,799 348,628 202,453 198,956 351,958 537,467 2,431,160 256,504 1,181,061 280,963 1,250,099 385,195 2,280,915 189,991 1,112,478 195,204 1,168,437 416,933 2,557,907 200,961 1,239,940 215,972 1,317,967 67 Table B.1: Tanzania Mainland: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2013 - 2015 Age 40 41 42 43 44 40 - 44 45 46 47 48 49 45 - 49 50 51 52 53 54 50 - 54 55 56 57 58 59 55 - 59 60 61 62 63 64 60 - 64 65 66 67 68 69 65 - 69 70 71 72 73 74 70 - 74 75 76 77 78 79 75 - 79 80+ Both Sexes 2013 Male Both Sexes 2014 Male Both Sexes 2015 Male Female Female Female 317,763 734,491 195,939 152,787 354,717 99,004 164,976 379,774 96,935 534,720 316,053 730,306 255,031 151,855 352,417 279,689 164,198 377,889 383,247 531,878 314,274 188,914 253,492 150,880 194,333 278,386 163,394 423,607 230,401 1,902,201 244,784 217,791 113,678 937,977 124,532 205,816 116,723 964,224 120,252 194,742 420,854 2,196,675 228,820 98,318 216,178 1,073,799 112,777 96,424 204,676 1,122,876 116,043 725,946 193,497 2,148,842 417,983 350,002 97,597 1,040,885 214,484 375,944 95,900 1,107,957 203,499 436,461 232,958 200,503 317,410 217,099 117,685 102,200 156,360 219,362 115,273 98,303 161,050 242,975 433,054 230,989 198,685 123,474 215,131 116,532 101,124 119,501 217,923 114,457 97,561 227,162 241,077 429,478 228,918 111,833 122,357 213,061 115,315 115,329 118,720 216,417 113,603 1,432,116 253,915 459,216 159,811 717,876 94,195 212,067 85,376 714,240 159,720 247,149 74,435 1,334,523 314,330 251,371 454,100 669,038 154,584 93,039 209,264 665,485 159,746 158,332 244,836 1,544,618 196,770 311,087 248,690 777,050 99,987 152,709 91,820 767,568 96,783 158,378 156,870 242,868 132,161 1,247,971 164,507 217,720 148,357 110,104 174,426 815,114 87,464 347,070 73,201 139,980 85,900 733,615 83,686 175,462 60,535 81,863 98,990 127,087 67,843 586,568 86,951 106,358 75,854 57,186 87,351 413,700 45,048 156,438 38,330 72,456 44,950 357,222 45,546 80,519 31,610 42,744 45,042 115,781 64,318 661,403 77,556 111,362 72,503 52,918 87,075 401,414 42,416 190,632 34,871 67,524 40,950 376,393 38,140 94,943 28,925 39,119 53,948 157,837 239,655 1,417,293 130,281 161,967 214,149 145,695 107,965 760,057 170,762 85,460 338,635 71,212 135,868 801,937 83,146 80,753 168,961 58,053 78,208 84,158 125,136 666,181 66,721 85,404 104,324 74,278 55,901 386,628 85,223 43,856 151,961 37,133 70,013 388,186 43,305 43,739 77,065 30,143 40,593 73,679 114,519 751,112 63,560 76,563 109,825 71,417 52,064 373,429 85,539 41,604 186,674 34,079 65,855 413,751 39,841 37,014 91,896 27,910 37,615 448,705 155,760 1,361,012 236,277 128,304 159,289 210,393 142,895 877,158 105,706 166,903 83,359 329,768 69,133 754,869 131,572 80,275 77,701 162,216 55,487 206,310 82,874 633,700 123,089 65,541 83,771 102,182 72,624 447,207 54,551 82,981 42,611 147,273 35,888 363,304 67,472 41,598 41,867 73,513 28,636 242,395 72,886 727,312 113,188 62,763 75,518 108,211 70,271 429,951 51,155 83,922 40,748 182,495 33,245 391,565 64,100 38,677 35,834 88,703 26,851 500,536 45,346 244,302 33,292 245,461 22,328 106,707 17,162 255,075 23,018 137,595 16,130 469,121 94,279 42,982 230,695 234,845 42,596 21,018 99,960 234,276 51,683 21,964 130,735 507,251 74,455 89,443 40,570 253,086 38,400 40,108 19,695 254,165 36,055 49,335 20,875 82,842 40,331 446,113 38,590 40,851 21,312 208,360 20,315 41,991 19,019 237,753 18,275 31,241 77,371 476,568 37,439 15,989 37,864 217,427 19,639 15,252 39,507 259,141 17,800 216,885 29,182 450,535 71,897 93,190 14,825 206,218 34,903 123,695 14,357 244,317 36,994 100,147 45,124 30,311 56,879 45,808 23,366 16,825 26,975 54,339 21,758 13,486 29,904 35,604 91,919 41,075 27,366 18,600 41,671 21,102 15,079 17,004 50,248 19,973 12,287 34,562 32,660 83,823 37,127 17,990 16,928 37,656 18,926 16,572 15,732 46,167 18,201 271,051 422,328 133,289 188,132 137,762 234,196 233,403 407,561 116,091 181,783 117,312 225,778 260,069 368,801 126,403 165,948 133,666 202,853 68 Table B.2: Tanzania Mainland: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2016 - 2018 Age Total 0 1 2 3 4 0-4 5 6 7 8 9 5-9 10 11 12 13 14 10 - 14 15 16 17 18 19 15 - 19 20 21 22 23 24 20 - 24 25 26 27 28 29 25 - 29 30 31 32 33 34 30 - 34 35 36 37 38 39 35 - 39 Both Sexes 2016 Male Both Sexes 2017 Male Female 49,453,636 24,157,114 1,894,260 1,792,782 1,722,623 1,663,409 1,388,314 8,461,388 1,282,621 1,415,087 957,594 904,256 868,974 839,073 690,661 4,260,558 644,262 708,419 1,397,905 1,435,134 1,363,716 6,894,463 1,373,468 1,348,457 1,237,577 1,115,036 1,297,928 6,372,466 920,388 1,396,465 983,683 997,578 935,870 5,233,984 899,942 838,796 1,015,083 740,393 Both Sexes 2018 Male Female Female 25,296,522 51,020,337 24,941,305 936,666 888,526 853,649 824,336 697,653 4,200,830 638,359 706,668 1,925,788 1,845,901 1,776,162 1,712,778 1,656,849 8,917,478 1,384,352 1,279,812 973,574 931,212 896,065 864,026 835,736 4,500,613 688,650 642,814 26,079,032 52,619,314 25,741,567 26,877,747 952,214 914,689 880,097 848,752 821,113 4,416,865 695,702 636,998 1,959,188 1,878,157 1,829,311 1,766,314 1,706,228 9,139,198 1,652,223 1,381,415 990,434 947,573 923,013 891,102 860,684 4,612,806 833,351 687,143 968,754 930,584 906,298 875,212 845,544 4,526,392 818,872 694,272 698,488 716,617 690,236 3,458,022 687,248 680,126 610,892 553,938 650,063 3,182,267 453,229 705,255 490,290 494,051 472,057 2,614,882 439,600 412,624 487,081 340,254 699,417 718,517 673,480 3,436,441 686,220 668,331 626,685 561,098 647,865 3,190,199 467,159 691,210 493,393 503,527 463,813 2,619,102 460,342 426,172 528,002 400,139 1,412,560 1,395,785 1,433,222 6,905,731 1,362,083 1,371,956 1,347,036 1,236,259 1,113,763 6,431,097 1,296,270 919,057 1,394,221 981,969 995,691 5,587,208 933,968 897,986 836,860 1,012,641 707,107 697,377 715,598 3,451,546 689,346 686,426 679,344 610,179 553,247 3,218,542 649,151 452,510 704,012 489,345 493,013 2,788,031 470,983 438,516 411,542 485,757 705,453 698,408 717,624 3,454,185 672,737 685,530 667,692 626,080 560,516 3,212,555 647,119 466,547 690,209 492,624 502,678 2,799,177 462,985 459,470 425,318 526,884 1,277,596 1,410,475 1,393,971 7,115,680 1,431,545 1,360,620 1,370,540 1,345,632 1,234,881 6,743,218 1,112,375 1,294,443 917,624 1,391,848 980,169 5,696,459 993,727 931,991 895,978 834,898 641,653 706,007 696,408 3,564,562 714,694 688,540 685,649 678,566 609,429 3,376,878 552,486 648,144 451,728 702,684 488,343 2,843,385 491,912 469,850 437,397 410,447 635,943 704,468 697,563 3,551,118 716,851 672,080 684,891 667,066 625,452 3,366,340 559,889 646,299 465,896 689,164 491,826 2,853,074 501,815 462,141 458,581 424,451 1,085,665 4,579,879 602,384 868,867 481,700 2,161,259 280,673 395,285 603,965 2,418,620 321,711 473,582 738,552 4,420,007 1,082,906 600,803 339,296 2,146,094 480,319 279,856 399,256 2,273,913 602,587 320,947 1,010,190 4,666,784 736,716 1,080,143 484,423 2,294,029 338,343 478,942 525,767 2,372,755 398,373 601,201 588,951 645,034 828,799 3,534,035 611,086 553,428 789,328 469,464 1,005,328 3,428,634 333,442 667,933 392,419 385,786 685,542 2,465,122 267,429 292,322 378,829 1,614,538 278,906 257,779 356,826 211,178 460,602 1,565,291 160,527 320,577 190,733 187,621 335,040 1,194,498 321,522 352,712 449,970 1,919,497 332,180 295,649 432,502 258,286 544,726 1,863,343 172,915 347,356 201,686 198,165 350,502 1,270,624 866,518 587,300 643,161 3,780,688 826,309 609,174 551,623 786,651 467,803 3,241,560 1,001,600 332,132 665,173 390,699 384,009 2,773,613 394,099 266,599 291,388 1,712,261 377,583 277,955 256,863 355,506 210,359 1,478,266 458,723 159,835 319,111 189,806 186,653 1,314,128 472,419 320,701 351,773 2,068,427 448,726 331,219 294,760 431,145 257,444 1,763,294 542,877 172,297 346,062 200,893 197,356 1,459,485 599,216 864,159 585,647 3,865,881 641,272 823,803 607,245 549,799 783,932 3,406,051 466,105 997,781 330,790 662,339 388,945 2,845,960 279,034 392,910 265,770 1,754,999 290,445 376,325 276,990 255,934 354,155 1,553,849 209,514 456,783 159,117 317,590 188,848 1,331,852 320,182 471,249 319,877 2,110,882 350,827 447,478 330,255 293,865 429,777 1,852,202 256,591 540,998 171,673 344,749 200,097 1,514,108 69 Table B.2: Tanzania Mainland: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2016 - 2018 Age 40 41 42 43 44 40 - 44 45 46 47 48 49 45 - 49 50 51 52 53 54 50 - 54 55 56 57 58 59 55 - 59 60 61 62 63 64 60 - 64 65 66 67 68 69 65 - 69 70 71 72 73 74 70 - 74 75 76 77 78 79 75 - 79 80+ Both Sexes 2016 Male Both Sexes 2017 Male Both Sexes 2018 Male Female Female Female 414,865 381,241 199,836 187,795 215,029 193,446 682,230 412,738 333,217 198,672 349,013 214,066 382,179 678,811 185,651 331,314 196,528 347,497 528,934 312,426 721,411 2,358,877 251,887 149,862 347,477 1,136,857 277,047 162,564 373,934 1,222,020 379,164 525,884 310,509 2,310,525 186,629 250,215 148,797 1,117,530 192,535 275,669 161,712 1,192,995 410,537 377,008 522,714 2,371,249 197,460 185,413 248,467 1,148,305 213,077 191,595 274,247 1,222,944 192,200 414,982 225,433 239,090 96,843 212,710 110,840 121,188 95,357 202,272 114,593 117,902 716,692 190,845 411,848 223,614 344,842 96,052 210,851 109,796 371,850 94,793 200,997 113,818 308,514 711,774 189,430 408,564 147,685 342,082 95,225 208,897 160,829 369,692 94,205 199,667 425,712 1,497,417 226,738 194,760 210,877 752,458 114,030 98,791 214,835 744,959 112,708 95,969 237,004 1,780,003 421,752 224,444 119,954 881,495 208,576 112,677 117,050 898,508 213,176 111,767 221,714 1,839,996 234,814 417,590 108,700 902,589 118,656 206,153 113,014 937,407 116,158 211,437 307,666 245,860 443,031 1,418,055 150,731 90,535 203,209 657,296 156,935 155,325 239,822 760,759 192,638 304,074 242,891 1,385,799 97,532 148,659 89,192 656,636 95,106 155,415 153,699 729,163 222,037 190,406 300,295 1,365,142 111,257 96,203 146,477 678,746 110,780 94,203 153,818 686,396 153,568 232,723 126,216 156,473 81,527 120,942 64,303 82,061 72,041 111,781 61,913 74,412 437,063 151,274 228,985 124,025 199,958 80,117 118,687 63,006 237,105 71,157 110,298 61,019 239,771 430,786 148,857 225,051 87,780 196,543 78,635 116,317 151,991 234,243 70,222 108,734 206,428 875,408 139,951 103,332 162,856 81,148 320,469 807,756 99,928 448,761 70,884 53,132 80,639 41,304 142,385 388,344 106,500 426,647 69,067 50,200 82,217 39,844 178,084 419,412 153,506 1,094,853 202,256 136,853 100,843 158,602 78,837 677,391 80,259 542,027 97,560 69,061 51,649 78,188 39,943 336,401 73,247 552,826 104,696 67,792 49,194 80,414 38,894 340,990 121,718 1,166,183 150,388 197,874 133,594 98,224 154,144 734,224 61,637 540,912 78,368 95,076 67,145 50,091 75,632 366,312 60,081 625,271 72,020 102,798 66,449 48,133 78,512 367,912 66,958 127,088 77,282 74,548 34,593 64,836 39,830 39,947 32,365 62,252 37,452 34,601 310,735 64,696 122,424 74,192 137,303 33,256 62,113 38,019 173,432 31,440 60,311 36,173 76,418 300,576 62,337 117,591 38,529 132,032 31,866 59,311 37,889 168,544 30,471 58,280 155,234 501,110 52,841 70,605 69,868 249,074 27,095 36,174 85,366 252,036 25,746 34,431 71,285 643,332 148,039 50,138 37,979 308,670 66,151 25,538 33,306 334,662 81,888 24,600 70,997 627,919 67,932 140,661 36,160 297,898 35,970 62,380 34,837 330,021 31,962 78,281 84,516 38,128 202,957 449,047 37,604 18,369 86,448 205,690 46,912 19,759 116,509 243,357 66,684 79,514 35,668 380,043 33,927 35,090 17,050 177,756 32,757 44,424 18,618 202,287 47,381 62,715 74,474 393,163 23,964 31,674 32,585 186,573 23,417 31,041 41,889 206,590 27,129 66,445 31,727 29,761 75,918 230,980 345,015 13,675 31,989 16,383 15,305 33,800 111,152 156,167 13,454 34,456 15,344 14,456 42,118 119,828 188,848 189,000 25,073 61,056 28,935 26,936 331,000 360,009 79,773 12,537 29,144 14,823 13,741 150,018 161,291 109,227 12,536 31,912 14,112 13,195 180,982 198,718 33,209 175,093 23,051 55,758 26,215 313,326 328,881 15,743 73,200 11,428 26,382 13,320 140,073 147,799 17,466 101,893 11,623 29,376 12,895 173,253 181,082 70 Table B.3: Tanzania Mainland: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2019 - 2021 Age Total 0 1 2 3 4 0-4 5 6 7 8 9 5-9 10 11 12 13 14 10 - 14 15 16 17 18 19 15 - 19 20 21 22 23 24 20 - 24 25 26 27 28 29 25 - 29 30 31 32 33 34 30 - 34 35 36 37 38 39 35 - 39 Both Sexes 2019 Male 2021 Male Female 54,265,158 2,006,509 26,564,890 1,014,312 27,700,268 992,197 55,966,030 2,061,234 27,415,440 1,041,950 28,550,590 1,019,284 57,724,380 2,121,522 28,295,204 1,072,509 29,429,176 1,049,013 1,911,871 1,861,661 1,819,400 1,759,713 964,560 939,394 918,000 887,721 947,311 922,267 901,400 871,992 1,959,618 1,895,620 1,851,894 1,812,810 988,637 956,476 934,435 914,611 970,981 939,144 917,459 898,199 2,014,394 1,943,403 1,885,934 1,845,371 1,016,358 980,577 951,561 931,079 998,036 962,826 934,373 914,292 9,359,154 1,701,572 1,648,776 1,379,087 4,723,987 858,273 831,549 685,930 4,635,167 843,299 817,227 693,157 9,581,176 1,755,061 1,698,131 1,646,059 4,836,109 885,300 856,468 830,110 4,745,067 869,761 841,663 815,949 9,810,624 1,808,149 1,751,604 1,695,403 4,952,084 912,187 883,487 855,021 4,858,540 895,962 868,117 840,382 1,275,752 1,408,679 7,413,866 1,392,377 640,670 705,041 3,721,463 695,541 635,082 703,638 3,692,403 696,836 1,377,161 1,274,172 7,750,584 1,407,112 684,911 639,816 3,896,605 704,187 692,250 634,356 3,853,979 702,925 1,643,803 1,375,508 8,274,467 1,272,790 828,899 684,022 4,163,616 639,058 814,904 691,486 4,110,851 633,732 1,430,039 1,359,252 1,369,143 1,344,160 713,873 687,778 684,878 677,746 716,166 671,474 684,265 666,414 1,390,954 1,428,639 1,357,902 1,367,688 694,760 713,098 687,022 684,069 696,194 715,541 670,880 683,619 1,405,709 1,389,619 1,427,258 1,356,486 703,414 694,023 712,332 686,226 702,295 695,596 714,926 670,260 6,894,971 1,233,374 1,110,845 1,292,463 3,459,816 608,607 551,644 647,045 3,435,155 624,767 559,201 645,418 6,952,295 1,342,554 1,231,717 1,109,202 3,483,136 676,847 607,695 550,732 3,469,159 665,707 624,022 558,470 6,851,862 1,366,085 1,340,791 1,229,934 3,435,053 683,176 675,857 606,710 3,416,809 682,909 664,934 623,224 916,095 1,389,332 5,942,109 978,272 991,660 929,949 893,921 832,915 450,888 701,255 2,959,439 487,269 490,746 468,674 436,250 409,340 465,207 688,077 2,982,670 491,003 500,914 461,275 457,671 423,575 1,290,368 914,491 5,888,332 1,386,713 976,302 989,548 927,869 891,860 645,867 449,990 2,931,131 699,748 486,140 489,538 467,471 435,097 644,501 464,501 2,957,201 686,965 490,162 500,010 460,398 456,763 1,107,447 1,288,162 6,332,419 912,816 1,383,974 974,275 987,389 925,770 549,753 644,617 3,160,113 449,043 698,160 484,974 488,308 466,263 557,694 643,545 3,172,306 463,773 685,814 489,301 499,081 459,507 4,626,717 1,007,726 734,875 1,077,360 2,292,279 483,091 337,391 477,557 2,334,438 524,635 397,484 599,803 5,172,292 830,931 1,005,272 733,035 2,577,994 408,230 481,761 336,441 2,594,298 422,701 523,511 396,594 5,184,224 889,792 828,954 1,002,803 2,586,748 433,946 407,134 480,431 2,597,476 455,846 421,820 522,372 597,609 861,769 4,279,339 583,967 278,199 391,702 1,967,940 264,923 319,410 470,067 2,311,399 319,044 1,074,579 596,000 4,239,817 859,359 476,171 277,364 1,979,967 390,484 598,408 318,636 2,259,850 468,875 731,184 1,071,764 4,524,497 594,378 335,484 474,772 2,131,767 276,526 395,700 596,992 2,392,730 317,852 639,364 821,254 605,271 547,935 289,490 375,041 275,996 254,977 349,874 446,213 329,275 292,958 582,277 637,430 818,672 603,271 264,074 288,517 373,733 274,984 318,203 348,913 444,939 328,287 856,933 580,559 635,467 816,031 389,260 263,208 287,534 372,396 467,673 317,351 347,933 443,635 3,197,791 781,136 464,359 993,852 329,404 659,412 3,228,163 1,460,427 352,753 208,639 454,769 158,370 316,007 1,490,538 1,737,364 428,383 255,720 539,083 171,034 343,405 1,737,625 3,501,009 546,030 778,285 462,574 989,819 327,976 3,104,684 1,591,792 253,992 351,311 207,733 452,682 157,592 1,423,310 1,909,217 292,038 426,974 254,841 537,137 170,384 1,681,374 3,483,368 601,216 544,070 775,347 460,733 985,663 3,367,029 1,588,924 273,938 252,972 349,814 206,795 450,516 1,534,035 1,894,444 327,278 291,098 425,533 253,938 535,147 1,832,994 Female Both Sexes 2020 Male Female Both Sexes 71 Table B.3: Tanzania Mainland: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2019 - 2021 Age 40 41 42 43 44 40 - 44 45 46 47 48 49 45 - 49 50 51 52 53 54 50 - 54 55 56 57 58 59 55 - 59 60 61 62 63 64 60 - 64 65 66 67 68 69 65 - 69 70 71 72 73 74 70 - 74 75 76 77 78 79 75 - 79 80+ Both Sexes 2019 Male Female Both Sexes 2020 Male 2021 Male Female 387,122 380,289 187,845 184,601 199,277 195,688 656,407 385,252 314,363 186,806 342,044 198,446 326,508 653,294 156,788 312,655 169,720 340,639 675,259 408,247 374,765 2,225,682 519,400 306,429 706,615 187,945 405,107 2,125,496 219,701 232,497 413,194 219,493 188,054 1,272,939 296,311 236,472 424,158 146,307 329,329 196,188 184,135 1,082,098 246,627 146,518 339,171 94,354 206,832 1,033,502 107,537 117,278 203,587 109,754 94,805 632,961 144,183 86,292 192,947 77,073 345,930 212,059 190,630 1,143,584 272,773 159,911 367,444 93,591 198,275 1,091,994 112,164 115,219 209,607 109,739 93,249 639,978 152,128 150,180 231,211 69,234 378,331 671,580 405,869 2,497,439 372,429 515,953 304,248 701,204 186,382 2,080,216 401,469 217,590 230,062 408,561 216,817 1,474,499 185,578 292,117 233,004 417,178 183,508 327,253 194,854 1,206,784 182,800 244,707 145,291 336,106 93,431 1,002,335 204,649 106,313 115,831 200,883 108,175 735,851 93,336 141,768 84,729 189,162 194,823 344,327 211,015 1,290,655 189,629 271,246 158,957 365,098 92,951 1,077,881 196,820 111,277 114,231 207,678 108,642 738,648 92,242 150,349 148,275 228,016 383,306 376,299 667,739 2,407,146 403,382 369,979 512,335 301,958 695,514 2,283,168 184,740 397,631 215,361 227,498 403,682 1,428,912 214,000 182,971 287,696 229,339 185,721 182,365 325,080 1,162,609 193,461 181,395 242,683 143,999 332,881 1,094,419 92,462 202,348 105,020 114,306 198,038 712,174 106,514 91,794 139,231 83,083 197,585 193,934 342,659 1,244,537 209,921 188,584 269,652 157,959 362,633 1,188,749 92,278 195,283 110,341 113,192 205,644 716,738 107,486 91,177 148,465 146,256 220,896 1,324,144 119,285 147,104 193,251 130,175 95,479 685,294 149,474 73,886 289,968 59,887 113,815 614,310 60,197 76,378 92,460 65,143 48,467 342,645 72,963 37,055 126,569 30,432 107,081 709,834 59,088 70,726 100,791 65,032 47,012 342,649 76,511 36,831 163,399 29,455 143,622 1,271,499 216,525 116,730 143,653 188,403 126,585 791,896 92,607 144,599 71,260 278,950 75,426 584,421 111,182 58,685 74,290 89,727 63,047 396,931 46,776 70,194 35,535 120,936 68,196 687,078 105,343 58,045 69,363 98,676 63,538 394,965 45,831 74,405 35,725 158,014 409,810 1,323,816 140,794 211,913 114,036 140,026 183,305 790,074 122,822 89,603 139,514 68,522 185,174 605,796 73,699 108,414 57,096 72,106 86,873 398,188 60,865 45,021 67,330 33,965 224,636 718,020 67,095 103,499 56,940 67,920 96,432 391,886 61,957 44,582 72,184 34,557 112,581 685,796 67,695 64,492 133,111 44,583 58,710 368,591 56,430 323,449 34,255 33,926 58,557 22,378 29,422 178,538 56,151 362,347 33,440 30,566 74,554 22,205 29,288 190,053 57,354 644,770 107,425 64,316 60,985 125,445 41,762 399,933 28,966 302,407 53,485 32,320 31,859 54,719 20,797 193,180 28,388 342,363 53,940 31,996 29,126 70,726 20,965 206,753 267,521 687,982 54,745 102,127 60,865 57,422 117,694 392,853 115,158 322,339 27,465 50,492 30,366 29,781 50,884 188,988 152,363 365,643 27,280 51,635 30,499 27,641 66,810 203,865 69,412 30,751 161,274 21,054 50,570 333,061 302,045 30,095 14,450 66,754 10,349 23,716 145,364 136,134 39,317 16,301 94,520 10,705 26,854 187,697 165,911 54,701 64,366 28,318 147,641 19,101 314,127 301,462 27,189 27,642 13,183 60,487 9,306 137,807 135,680 27,512 36,724 15,135 87,154 9,795 176,320 165,782 38,934 50,703 59,353 25,920 134,243 309,153 272,786 19,228 24,987 25,239 11,955 54,441 135,850 122,501 19,706 25,716 34,114 13,965 79,802 173,303 150,285 Female Both Sexes 72 Table B.4: Tanzania Mainland: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2022 - 2024 Age Total 0 1 2 3 4 0-4 5 6 7 8 9 5-9 10 11 12 13 14 10 - 14 15 16 17 18 19 15 - 19 20 21 22 23 24 20 - 24 25 26 27 28 29 25 - 29 30 31 32 33 34 30 - 34 35 36 37 38 39 35 - 39 Both Sexes 2022 Male Female Both Sexes 2023 Male Female Both Sexes 2024 Male Female 59,517,754 2,158,316 29,192,247 1,091,144 30,325,507 1,067,172 61,342,896 2,197,010 30,105,557 1,110,737 31,237,339 1,086,273 63,218,278 2,248,268 31,043,767 1,136,674 32,174,511 1,111,594 2,074,659 1,998,184 1,933,748 1,879,471 1,046,861 1,008,273 975,662 948,222 1,027,798 989,911 958,086 931,249 2,111,946 2,058,423 1,988,527 1,927,298 1,065,713 1,038,736 1,003,336 972,317 1,046,233 1,019,687 985,191 954,981 2,151,073 2,095,852 2,048,732 1,982,068 1,085,525 1,057,643 1,033,769 999,977 1,065,548 1,038,209 1,014,963 982,091 10,044,378 1,840,752 1,804,684 1,748,862 5,070,162 928,665 910,359 882,027 4,974,216 912,087 894,325 866,835 10,283,204 1,874,892 1,837,320 1,801,933 5,190,839 945,824 926,848 908,889 5,092,365 929,068 910,472 893,044 10,525,993 1,922,732 1,871,482 1,834,591 5,313,588 969,913 944,013 925,387 5,212,405 952,819 927,469 909,204 1,693,144 1,641,866 8,729,308 1,374,062 853,801 827,842 4,402,694 683,234 839,343 814,024 4,326,614 690,828 1,746,593 1,691,196 8,951,934 1,640,171 880,800 852,736 4,515,097 826,901 865,793 838,460 4,436,837 813,270 1,799,653 1,744,637 9,173,095 1,689,488 907,652 879,725 4,626,690 851,788 892,001 864,912 4,546,405 837,700 1,271,546 1,404,389 1,388,303 1,425,800 638,369 702,681 693,290 711,522 633,177 701,708 695,013 714,278 1,372,758 1,270,386 1,403,094 1,386,923 682,515 637,719 701,955 692,517 690,243 632,667 701,139 694,406 1,638,643 1,371,545 1,269,239 1,401,733 826,046 681,838 637,074 701,186 812,597 689,707 632,165 700,547 6,864,100 1,354,944 1,364,329 1,338,884 3,429,096 685,357 682,194 674,779 3,435,004 669,587 682,135 664,105 7,073,332 1,424,214 1,353,247 1,362,440 3,541,607 710,634 684,391 681,127 3,531,725 713,580 668,856 681,313 7,370,648 1,385,420 1,422,474 1,351,412 3,697,932 691,669 709,651 683,341 3,672,716 693,751 712,823 668,071 1,228,032 1,105,602 6,391,791 1,285,851 911,061 1,381,157 972,204 985,217 605,647 548,705 3,196,682 643,286 448,042 696,513 483,782 487,072 622,385 556,897 3,195,109 642,565 463,019 684,644 488,422 498,145 1,336,860 1,226,035 6,702,796 1,103,671 1,283,437 909,257 1,378,278 970,116 673,620 604,516 3,354,288 547,597 641,881 447,005 694,829 482,577 663,240 621,519 3,348,508 556,074 641,556 462,252 683,449 487,539 1,360,422 1,334,724 6,854,452 1,223,937 1,101,657 1,280,954 907,414 1,375,382 679,976 672,382 3,437,019 603,313 546,428 640,429 445,944 693,137 680,446 662,342 3,417,433 620,624 555,229 640,525 461,470 682,245 5,535,490 923,675 887,727 826,965 2,758,695 465,060 432,804 406,032 2,776,795 458,615 454,923 420,933 5,644,759 983,043 921,581 885,653 2,813,889 485,838 463,861 431,657 2,830,870 497,205 457,720 453,996 5,889,344 968,026 980,863 919,470 2,929,251 481,379 484,605 462,656 2,960,093 486,647 496,258 456,814 1,000,324 729,309 4,368,000 1,068,919 479,101 334,520 2,117,517 473,360 521,223 394,789 2,250,483 595,559 824,967 997,816 4,613,060 727,422 404,924 477,750 2,264,030 333,547 420,043 520,066 2,349,030 393,875 883,565 822,946 4,574,870 995,286 430,503 403,806 2,262,949 476,388 453,062 419,140 2,311,921 518,898 592,729 854,465 578,820 633,459 275,671 388,010 262,328 286,517 317,058 466,455 316,492 346,942 1,066,042 591,062 851,953 577,042 471,930 274,805 386,733 261,422 594,112 316,257 465,220 315,620 725,505 1,063,125 589,362 849,399 332,559 470,480 273,918 385,430 392,946 592,645 315,444 463,969 3,728,392 813,324 599,116 542,060 772,331 458,843 3,185,674 1,685,886 371,012 272,861 251,918 348,266 205,824 1,449,881 2,042,506 442,312 326,255 290,142 424,065 253,019 1,735,793 3,813,521 631,404 810,552 596,951 539,986 769,219 3,348,112 1,728,437 285,470 369,579 271,742 250,819 346,656 1,524,266 2,085,084 345,934 440,973 325,209 289,167 422,563 1,823,846 4,222,677 575,209 629,294 807,691 594,720 537,852 3,144,766 1,938,775 260,485 284,387 368,097 270,579 249,682 1,433,230 2,283,902 314,724 344,907 439,594 324,141 288,170 1,711,536 73 Table B.4: Tanzania Mainland: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2022 - 2024 Age 40 41 42 43 44 40 - 44 45 46 47 48 49 45 - 49 50 51 52 53 54 50 - 54 55 56 57 58 59 55 - 59 60 61 62 63 64 60 - 64 65 66 67 68 69 65 - 69 70 71 72 73 74 70 - 74 75 76 77 78 79 75 - 79 80+ Both Sexes 2022 Male Female Both Sexes 2023 Male Female Both Sexes 2024 Male Female 981,368 324,988 448,260 155,949 533,108 169,039 456,885 976,931 204,807 445,911 252,078 531,020 766,005 454,858 344,977 203,746 421,028 251,112 650,069 381,287 374,174 2,711,886 663,731 400,790 367,426 508,540 299,548 2,240,035 689,512 183,002 393,584 213,011 224,789 1,703,898 398,542 211,032 180,223 283,031 310,868 184,586 181,166 1,280,829 322,798 191,999 179,923 240,554 142,634 1,077,908 329,465 91,433 199,917 103,657 112,696 837,168 195,047 104,769 90,170 136,557 339,201 196,701 193,008 1,431,057 340,933 208,791 187,503 267,986 156,914 1,162,127 360,047 91,569 193,667 109,354 112,093 866,730 203,495 106,263 90,053 146,474 323,410 646,710 379,181 2,783,117 371,962 659,533 398,066 364,734 504,538 2,298,833 297,004 683,178 181,171 389,317 210,530 1,761,200 221,939 393,117 207,896 177,325 155,073 308,996 183,394 1,298,181 179,910 320,400 190,457 178,369 238,300 1,107,436 141,188 325,854 90,349 197,354 102,218 856,963 111,003 191,897 102,928 88,459 168,337 337,714 195,787 1,484,936 192,052 339,133 207,609 186,365 266,238 1,191,397 155,816 357,324 90,822 191,963 108,312 904,237 110,936 201,220 104,968 88,866 972,309 321,773 643,203 3,158,148 376,976 369,649 655,136 395,209 361,899 2,158,869 500,321 294,323 676,485 179,236 384,808 2,035,173 207,916 218,934 387,387 204,590 443,444 154,157 307,033 1,453,357 182,144 178,591 317,879 188,836 176,725 1,044,175 235,919 139,661 322,030 89,200 194,650 981,460 100,703 109,225 188,577 100,991 528,865 167,616 336,170 1,704,791 194,832 191,058 337,257 206,373 185,174 1,114,694 264,402 154,662 354,455 90,036 190,158 1,053,713 107,213 109,709 198,810 103,599 225,469 1,298,297 402,034 137,813 207,065 111,202 136,209 994,323 177,956 118,887 86,470 134,230 81,348 607,891 180,970 71,877 105,508 55,433 69,821 483,609 83,892 58,599 43,200 64,379 144,121 690,406 221,064 65,936 101,557 55,769 66,388 510,714 94,064 60,288 43,270 69,851 278,105 1,278,382 221,383 393,836 134,674 201,965 108,230 1,060,088 132,212 172,358 114,775 83,212 133,735 628,022 79,519 176,546 69,965 102,465 53,697 482,192 67,437 80,794 56,249 41,324 144,370 650,360 141,864 217,290 64,709 99,500 54,533 577,896 64,775 91,564 58,526 41,888 174,262 1,193,089 272,903 217,079 385,192 131,370 196,600 1,203,144 105,104 128,034 166,515 110,514 86,653 586,149 130,759 77,596 171,894 67,962 99,280 547,491 51,880 64,963 77,587 53,830 87,609 606,940 142,144 139,483 213,298 63,408 97,320 655,653 53,224 63,071 88,928 56,684 65,690 583,233 255,703 52,067 96,710 57,354 53,828 515,662 32,351 282,421 109,243 25,940 47,465 28,398 27,703 238,749 33,339 300,812 146,460 26,127 49,245 28,956 26,125 276,913 128,750 631,307 62,761 243,535 49,320 91,208 53,809 500,633 61,341 307,145 30,704 103,224 24,392 44,418 26,430 229,168 67,409 324,162 32,057 140,311 24,928 46,790 27,379 271,465 79,838 590,005 123,090 59,759 231,062 46,533 85,642 546,086 39,397 287,657 58,237 29,028 97,121 22,837 41,368 248,591 40,441 302,348 64,853 30,731 133,941 23,696 44,274 297,495 109,908 36,110 46,736 54,395 23,560 270,709 352,578 47,077 17,680 22,828 22,899 10,767 121,251 151,808 62,831 18,430 23,908 31,496 12,793 149,458 200,770 50,223 102,121 33,313 42,814 49,517 277,988 320,630 25,642 43,314 16,162 20,721 20,635 126,474 137,523 24,581 58,807 17,151 22,093 28,882 151,514 183,107 50,255 46,628 94,367 30,541 38,959 260,750 317,169 24,477 23,605 39,620 14,682 18,682 121,066 134,387 25,778 23,023 54,747 15,859 20,277 139,684 182,782 74 Table B.5: Tanzania Mainland: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2025 - 2027 Age Total 0 1 2 3 4 0-4 5 6 7 8 9 5-9 10 11 12 13 14 10 - 14 15 16 17 18 19 15 - 19 20 21 22 23 24 20 - 24 25 26 27 28 29 25 - 29 30 31 32 33 34 30 - 34 35 36 37 38 39 35 - 39 Both Sexes 2025 Male Female Both Sexes 2026 Male Female Both Sexes 2027 Male Female 65,139,734 2,297,704 32,004,921 1,161,689 33,134,813 1,136,015 67,113,309 2,352,975 32,991,946 1,189,656 34,121,363 1,163,319 69,122,280 2,391,711 33,996,398 1,209,257 35,125,882 1,182,454 2,202,506 2,135,117 2,086,244 2,042,250 1,111,547 1,077,509 1,052,709 1,030,393 1,090,959 1,057,608 1,033,535 1,011,857 2,252,205 2,186,604 2,125,587 2,079,821 1,136,697 1,103,545 1,072,606 1,049,351 1,115,508 1,083,059 1,052,981 1,030,470 2,307,652 2,236,376 2,177,108 2,119,214 1,164,751 1,128,715 1,098,645 1,069,267 1,142,901 1,107,661 1,078,463 1,049,947 10,763,821 1,977,488 1,919,326 1,868,777 5,433,847 997,564 968,102 942,559 5,329,974 979,924 951,224 926,218 10,997,192 2,037,652 1,974,081 1,916,622 5,551,855 1,027,962 995,749 966,646 5,445,337 1,009,690 978,332 949,976 11,232,061 2,075,262 2,034,235 1,971,372 5,670,635 1,046,936 1,026,136 994,284 5,561,426 1,028,326 1,008,099 977,088 1,832,329 1,797,684 9,395,604 1,742,919 924,155 906,566 4,738,946 878,766 908,174 891,118 4,656,658 864,153 1,866,529 1,830,375 9,625,259 1,795,961 941,331 923,075 4,854,763 905,602 925,198 907,300 4,770,496 890,359 1,914,374 1,864,593 9,859,836 1,828,662 965,417 940,258 4,973,031 922,112 948,957 924,335 4,886,805 906,550 1,687,958 1,637,217 1,370,343 1,268,038 850,926 825,238 681,166 636,391 837,032 811,979 689,177 631,647 1,741,376 1,686,522 1,635,805 1,369,078 877,897 850,111 824,433 680,452 863,479 836,411 811,372 688,626 1,794,414 1,739,932 1,685,108 1,634,329 904,723 877,070 849,303 823,591 889,691 862,862 835,805 810,738 7,706,475 1,400,243 1,383,755 1,420,586 3,872,487 700,345 690,731 708,579 3,833,988 699,898 693,024 712,007 8,228,742 1,266,721 1,398,605 1,381,969 4,138,495 635,644 699,413 689,708 4,090,247 631,077 699,192 692,261 8,682,445 1,367,708 1,265,276 1,396,837 4,376,799 679,674 634,814 698,399 4,305,646 688,034 630,462 698,438 1,349,460 1,358,297 6,912,341 1,332,482 1,221,749 1,099,582 1,278,416 905,566 682,209 678,748 3,460,612 671,068 602,045 545,216 638,941 444,880 667,251 679,549 3,451,729 661,414 619,704 554,366 639,475 460,686 1,418,584 1,347,399 6,813,278 1,356,072 1,330,142 1,219,495 1,097,453 1,275,857 707,429 681,004 3,413,198 677,447 669,681 600,732 543,972 637,445 711,155 666,395 3,400,080 678,625 660,461 618,763 553,481 638,412 1,380,066 1,416,474 6,826,361 1,345,237 1,353,747 1,327,737 1,217,197 1,095,317 688,613 706,203 3,407,703 679,724 676,073 668,251 599,392 542,729 691,453 710,271 3,418,658 665,513 677,674 659,486 617,805 552,588 5,837,795 1,372,474 965,931 978,673 2,902,150 691,447 480,183 483,370 2,935,645 681,027 485,748 495,303 6,279,019 903,698 1,369,564 963,829 3,129,277 443,812 689,760 478,989 3,149,742 459,886 679,804 484,840 6,339,235 1,273,292 901,830 1,366,640 3,166,169 635,955 442,748 688,071 3,173,066 637,337 459,082 678,569 917,346 881,450 5,115,874 820,900 461,447 429,335 2,545,782 402,676 455,899 452,115 2,570,092 418,224 976,463 915,200 5,128,754 879,315 482,126 460,224 2,554,911 428,161 494,337 454,976 2,573,843 451,154 961,703 974,228 5,477,693 913,030 477,783 480,874 2,725,431 458,992 483,920 493,354 2,752,262 454,038 992,722 723,565 1,060,150 587,627 475,014 331,557 468,995 273,010 517,708 392,008 591,155 314,617 818,838 990,118 721,589 1,057,112 401,537 473,614 330,534 467,471 417,301 516,504 391,055 589,641 877,161 816,739 987,468 719,563 426,974 400,378 472,183 329,482 450,187 416,361 515,285 390,081 4,184,964 846,764 573,333 627,120 804,738 592,417 3,444,372 1,951,252 384,074 259,516 283,262 366,551 269,369 1,562,772 2,233,712 462,690 313,817 343,858 438,187 323,048 1,881,600 4,466,972 585,845 844,059 571,396 624,874 801,688 3,427,862 2,101,317 272,070 382,675 258,511 282,093 364,945 1,560,294 2,365,655 313,775 461,384 312,885 342,781 436,743 1,867,568 4,313,961 1,053,985 584,011 841,266 569,402 622,553 3,671,217 2,088,009 465,894 271,099 381,218 257,469 280,874 1,656,554 2,225,952 588,091 312,912 460,048 311,933 341,679 2,014,663 75 Table B.5: Tanzania Mainland: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2025 - 2027 Age 40 41 42 43 44 40 - 44 45 46 47 48 49 45 - 49 50 51 52 53 54 50 - 54 55 56 57 58 59 55 - 59 60 61 62 63 64 60 - 64 65 66 67 68 69 65 - 69 70 71 72 73 74 70 - 74 75 76 77 78 79 75 - 79 80+ Both Sexes 2025 Male Female Both Sexes 2026 Male Female Both Sexes 2027 Male Female 535,643 762,664 248,497 343,222 287,146 419,442 590,034 533,349 268,107 247,256 321,927 286,093 798,534 587,560 363,274 266,790 435,260 320,770 452,756 967,509 320,056 3,038,628 639,540 374,672 367,215 650,500 392,195 2,424,122 358,900 495,861 291,489 669,421 177,200 1,992,871 380,054 205,163 215,759 381,332 202,642 440,870 153,191 1,388,422 304,971 180,828 177,199 315,214 187,120 1,165,332 174,981 233,394 138,047 317,994 87,994 952,410 191,797 99,114 107,347 185,072 250,114 526,639 166,865 1,650,206 334,569 193,844 190,016 335,286 205,075 1,258,790 183,919 262,467 153,442 351,427 89,206 1,040,461 188,257 106,049 108,412 196,260 759,195 450,563 962,484 3,295,625 318,267 635,707 372,250 364,657 645,617 2,336,498 389,010 355,744 491,150 288,496 661,958 2,186,358 175,051 375,041 202,248 212,408 341,387 201,481 438,161 1,496,392 152,180 302,806 179,442 175,731 312,394 1,122,553 185,299 173,141 230,722 136,341 313,738 1,039,241 86,721 188,796 97,432 105,367 417,808 249,082 524,323 1,799,233 166,087 332,901 192,808 188,926 333,223 1,213,945 203,711 182,603 260,428 152,155 348,220 1,147,117 88,330 186,245 104,816 107,041 530,964 755,586 448,274 3,120,918 957,236 316,391 631,683 369,707 361,962 2,636,979 640,459 385,646 352,408 486,178 285,336 2,150,027 654,086 172,778 369,742 199,171 245,960 339,463 200,262 1,415,749 435,317 151,120 300,524 177,983 174,178 1,239,122 309,409 183,370 171,195 227,903 134,539 1,026,416 309,250 85,380 185,628 95,658 285,004 416,123 248,012 1,705,169 521,919 165,271 331,159 191,724 187,784 1,397,857 331,050 202,276 181,213 258,275 150,797 1,123,611 344,836 87,398 184,114 103,513 201,094 1,383,402 171,028 267,415 212,536 376,084 127,896 1,154,959 190,973 101,836 123,674 160,421 98,941 682,271 84,746 127,625 75,573 167,016 65,862 520,822 95,957 49,994 62,397 74,270 102,153 701,131 86,282 139,790 136,963 209,068 62,034 634,137 95,016 51,842 61,277 86,151 374,932 1,339,680 197,405 167,611 261,634 207,736 366,494 1,200,880 124,258 185,075 98,424 119,134 181,368 659,684 96,781 82,735 124,333 73,449 161,911 539,209 63,675 92,498 48,038 59,748 193,564 679,996 100,624 84,876 137,301 134,287 204,583 661,671 60,583 92,577 50,386 59,386 208,859 1,604,636 368,167 193,508 164,010 255,537 202,682 1,183,904 356,408 120,435 178,919 94,864 103,271 779,187 177,457 94,505 80,624 120,872 71,226 544,684 156,574 61,392 88,910 46,013 105,588 825,449 190,710 99,003 83,386 134,665 131,456 639,220 199,834 59,043 90,009 48,851 106,078 682,982 76,343 117,263 56,671 218,354 43,714 512,345 51,334 333,952 37,417 55,071 27,320 90,975 21,279 232,062 54,744 349,030 38,926 62,192 29,351 127,379 22,435 280,283 154,104 680,995 101,501 72,751 111,285 53,539 205,466 544,542 70,860 334,819 48,781 35,401 51,859 25,607 84,812 246,460 83,244 346,176 52,720 37,350 59,426 27,932 120,654 298,082 114,416 865,042 147,559 96,777 69,067 105,204 50,366 468,973 57,017 409,906 67,365 46,174 33,355 48,623 23,885 219,402 57,399 455,136 80,194 50,603 35,712 56,581 26,481 249,571 80,050 46,697 43,051 86,683 27,814 284,295 304,884 38,333 22,543 21,600 36,011 13,244 131,731 130,071 41,717 24,154 21,451 50,672 14,570 152,564 174,813 40,879 74,458 43,158 39,510 79,092 277,097 284,556 19,727 35,328 20,638 19,643 32,512 127,848 121,630 21,152 39,130 22,520 19,867 46,580 149,249 162,926 192,480 38,039 68,884 39,653 36,025 375,081 313,911 78,671 18,190 32,370 18,781 17,745 165,757 131,844 113,809 19,849 36,514 20,872 18,280 209,324 182,067 76 Table B.6: Tanzania Mainland: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2028 - 2030 Age Total 0 1 2 3 4 0-4 5 6 7 8 9 5-9 10 11 12 13 14 10 - 14 15 16 17 18 19 15 - 19 20 21 22 23 24 20 - 24 25 26 27 28 29 25 - 29 30 31 32 33 34 30 - 34 35 36 37 38 39 35 - 39 Both Sexes 2028 Male Female Both Sexes 2029 Male Female Both Sexes 2030 Male Female 71,169,296 35,019,992 36,149,304 73,273,012 36,071,770 37,201,242 75,421,780 37,145,851 38,275,929 2,435,654 2,346,936 1,231,495 1,184,644 1,204,159 1,162,292 2,496,160 2,391,361 1,262,106 1,207,139 1,234,054 1,184,222 2,545,785 2,452,102 1,287,221 1,237,868 1,258,564 1,214,234 2,291,882 2,226,931 2,170,760 11,472,163 1,156,787 1,123,834 1,095,316 5,792,076 1,135,095 1,103,097 1,075,444 5,680,087 2,331,352 2,282,470 2,220,618 11,721,961 1,176,762 1,151,912 1,120,513 5,918,432 1,154,590 1,130,558 1,100,105 5,803,529 2,375,947 2,322,054 2,276,186 11,972,074 1,199,326 1,171,936 1,148,600 6,044,951 1,176,621 1,150,118 1,127,586 5,927,123 2,114,701 2,071,873 2,031,519 1,969,121 1,066,873 1,045,122 1,024,665 993,050 1,047,828 1,026,751 1,006,854 976,071 2,166,263 2,111,344 2,069,182 2,029,259 1,092,922 1,065,068 1,043,660 1,023,419 1,073,341 1,046,276 1,025,522 1,005,840 2,216,146 2,162,919 2,108,671 2,066,948 1,118,129 1,091,122 1,063,612 1,042,425 1,098,017 1,071,797 1,045,059 1,024,523 1,912,443 10,099,657 1,862,891 1,827,128 964,343 5,094,053 939,302 921,243 948,100 5,005,604 923,589 905,885 1,967,184 10,343,232 1,910,738 1,861,367 991,969 5,217,038 963,382 938,432 975,215 5,126,194 947,356 922,935 2,027,322 10,582,006 1,965,484 1,909,219 1,022,335 5,337,623 991,005 962,514 1,004,987 5,244,383 974,479 946,705 1,792,959 1,738,508 1,683,618 8,905,104 1,632,717 1,366,190 1,263,719 1,394,963 1,378,058 7,035,647 1,414,265 1,342,989 1,351,352 1,325,278 1,214,874 6,648,758 1,093,174 1,270,713 899,961 1,363,688 903,894 876,257 848,450 4,489,146 822,661 678,808 633,915 697,311 687,442 3,520,137 704,905 678,379 674,654 666,785 598,040 3,322,763 541,484 634,460 441,686 686,372 889,065 862,251 835,168 4,415,958 810,056 687,382 629,804 697,652 690,616 3,515,510 709,360 664,610 676,698 658,493 616,834 3,325,995 551,690 636,253 458,275 677,316 1,825,686 1,791,530 1,737,014 9,126,335 1,682,002 1,630,942 1,364,558 1,262,062 1,392,984 7,332,548 1,375,954 1,411,956 1,340,671 1,348,911 1,322,797 6,800,289 1,212,544 1,091,028 1,268,131 898,071 920,420 903,076 875,397 4,600,707 847,515 821,635 677,867 632,950 696,152 3,676,119 686,200 703,534 676,985 673,202 665,311 3,405,232 596,692 540,243 632,971 440,620 905,266 888,454 861,617 4,525,628 834,487 809,307 686,691 629,112 696,832 3,656,429 689,754 708,422 663,686 675,709 657,486 3,395,057 615,852 550,785 635,160 457,451 1,859,939 1,824,265 1,790,030 9,348,937 1,735,387 1,680,221 1,629,029 1,362,823 1,260,319 7,667,779 1,390,906 1,373,759 1,409,583 1,338,309 1,346,452 6,859,009 1,320,312 1,210,219 1,088,869 1,265,530 937,612 919,598 902,208 4,712,937 874,453 846,477 820,514 676,857 631,919 3,850,220 694,918 684,891 702,119 675,562 671,743 3,429,233 663,842 595,352 539,001 631,475 922,327 904,667 887,822 4,636,000 860,934 833,744 808,515 685,966 628,400 3,817,559 695,988 688,868 707,464 662,747 674,709 3,429,776 656,470 614,867 549,868 634,055 959,563 5,587,099 971,976 910,832 874,967 814,599 984,749 4,557,123 717,490 1,050,769 582,120 838,385 476,568 2,780,570 479,608 457,741 425,770 399,192 470,715 2,233,026 328,399 464,261 270,088 379,710 482,995 2,806,529 492,368 453,091 449,197 415,407 514,034 2,324,097 389,091 586,508 312,032 458,675 1,360,708 5,830,482 957,398 969,695 908,605 872,732 812,410 4,520,840 981,960 715,345 1,047,458 580,167 684,658 2,895,184 475,345 478,333 456,480 424,538 397,976 2,232,672 469,198 327,274 462,569 269,040 676,050 2,935,298 482,053 491,362 452,125 448,194 414,434 2,288,168 512,762 388,071 584,889 311,127 896,167 5,781,097 1,357,699 955,208 967,382 906,338 870,441 5,057,068 810,164 979,081 713,142 1,044,031 439,541 2,869,211 682,932 474,106 477,037 455,190 423,267 2,512,532 396,723 467,622 326,107 460,805 456,626 2,911,886 674,767 481,102 490,345 451,148 447,174 2,544,536 413,441 511,459 387,035 583,226 567,333 3,756,097 256,378 1,698,836 310,955 2,057,261 835,406 4,160,336 378,136 1,906,217 457,270 2,254,119 578,149 4,124,567 267,949 1,919,206 310,200 2,205,361 77 Table B.6: Tanzania Mainland: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2028 - 2030 Age 40 41 42 43 44 40 - 44 45 46 47 48 49 45 - 49 50 51 52 53 54 50 - 54 55 56 57 58 59 55 - 59 60 61 62 63 64 60 - 64 65 66 67 68 69 65 - 69 70 71 72 73 74 70 - 74 75 76 77 78 79 75 - 79 80+ Both Sexes 2028 Male Female Both Sexes 2029 Male Female Both Sexes 2030 Male Female 620,153 795,261 279,610 361,523 340,543 433,738 565,198 617,668 255,245 278,288 309,953 339,380 832,321 562,977 376,494 254,061 455,827 308,916 584,995 528,481 751,814 3,280,704 445,880 951,732 314,419 627,441 367,020 2,706,492 359,113 634,999 382,097 348,873 480,919 2,206,001 282,002 645,757 170,375 364,139 265,414 244,600 337,445 1,488,592 198,982 432,323 149,994 298,108 176,434 1,255,841 172,533 306,241 181,332 169,130 224,920 1,054,156 132,641 304,509 83,962 182,281 319,581 283,881 414,369 1,792,112 246,898 519,409 164,425 329,333 190,586 1,450,651 186,580 328,758 200,765 179,743 255,999 1,151,845 149,361 341,248 86,413 181,858 791,847 582,314 525,884 3,082,911 747,871 443,371 945,945 312,345 622,957 3,072,489 364,178 356,098 629,225 378,339 345,140 2,072,980 475,370 278,478 636,959 167,841 359,690 263,968 243,172 1,400,363 335,328 197,633 429,162 148,807 295,551 1,406,481 174,790 170,786 302,885 179,174 166,950 994,585 221,780 130,638 299,508 82,465 432,157 318,346 282,712 1,682,548 412,543 245,738 516,783 163,538 327,406 1,666,008 189,388 185,312 326,340 199,165 178,190 1,078,395 253,590 147,840 337,451 85,376 615,075 788,296 579,516 3,378,185 523,164 743,722 440,740 939,848 310,155 2,957,629 618,233 361,174 352,913 623,120 374,363 2,329,803 341,195 469,503 274,745 627,640 276,899 357,772 262,453 1,527,679 241,669 333,086 196,212 425,820 147,551 1,344,338 292,843 173,052 168,937 299,334 176,891 1,111,057 164,652 218,460 128,518 294,216 338,176 430,524 317,063 1,850,506 281,495 410,636 244,528 514,028 162,604 1,613,291 325,390 188,122 183,976 323,786 197,472 1,218,746 176,543 251,043 146,227 333,424 195,913 1,658,186 205,114 361,021 189,398 160,213 249,111 1,164,857 197,362 345,834 116,445 172,501 93,780 797,173 101,059 173,334 92,109 78,402 117,246 562,150 68,907 151,021 59,028 85,200 102,133 861,013 104,055 187,687 97,289 81,811 131,865 602,707 128,455 194,813 57,417 87,301 358,209 1,916,857 192,472 201,157 353,474 185,064 156,212 1,088,379 242,352 191,761 334,758 112,292 178,743 913,134 91,800 98,729 168,988 89,591 76,077 525,185 113,457 66,486 145,254 56,583 179,466 1,003,723 100,672 102,428 184,486 95,473 80,135 563,194 128,895 125,275 189,504 55,709 165,155 1,878,238 351,939 188,835 196,975 345,511 180,490 1,263,750 152,006 235,268 185,887 323,194 80,883 886,729 175,003 89,708 96,271 164,424 86,951 612,357 73,643 109,512 63,972 139,286 84,272 991,509 176,936 99,127 100,704 181,087 93,539 651,393 78,363 125,756 121,915 183,908 91,176 923,318 109,543 140,797 91,933 65,314 99,029 506,616 43,933 408,089 54,220 63,790 43,526 31,291 45,373 238,200 47,243 515,229 55,323 77,007 48,407 34,023 53,656 268,416 165,835 1,046,998 87,347 104,511 133,854 86,994 61,506 474,212 81,378 463,158 41,795 51,361 60,156 40,856 29,217 223,385 84,457 583,840 45,552 53,150 73,698 46,138 32,289 250,827 107,972 1,004,327 158,919 83,397 99,351 126,770 81,978 550,415 54,060 440,473 77,448 39,610 48,454 56,488 38,167 260,167 53,912 563,854 81,471 43,787 50,897 70,282 43,811 290,248 47,166 179,454 35,213 63,353 36,195 361,381 300,093 22,169 72,586 16,676 29,478 16,975 157,884 127,300 24,997 106,868 18,537 33,875 19,220 203,497 172,793 92,816 43,962 166,432 32,406 57,883 393,499 288,664 42,130 20,468 66,584 15,196 26,664 171,042 122,836 50,686 23,494 99,848 17,210 31,219 222,457 165,828 57,675 86,579 40,759 153,456 29,628 368,097 298,799 27,151 38,912 18,786 60,702 13,751 159,302 127,836 30,524 47,667 21,973 92,754 15,877 208,795 170,963 78 Table B.7: Tanzania Mainland: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2031 - 2033 Age Total 0 1 2 3 4 0-4 5 6 7 8 9 5-9 10 11 12 13 14 10 - 14 15 16 17 18 19 15 - 19 20 21 22 23 24 20 - 24 25 26 27 28 29 25 - 29 30 31 32 33 34 30 - 34 35 36 37 38 39 35 - 39 Both Sexes 2031 Male 2032 Male Female Both Sexes 2033 Male Female 77,617,223 38,243,213 39,374,010 79,855,067 39,361,599 40,493,468 82,134,499 40,501,344 41,633,155 2,598,369 2,502,192 2,436,759 1,313,830 1,263,215 1,230,072 1,284,539 1,238,977 1,206,687 2,645,576 2,555,235 2,487,008 1,337,730 1,290,057 1,255,480 1,307,846 1,265,178 1,231,528 2,697,321 2,603,022 2,540,198 1,363,922 1,314,256 1,282,378 1,333,399 1,288,766 1,257,820 2,366,746 2,315,844 12,219,910 2,271,729 1,194,537 1,168,650 6,170,304 1,146,213 1,172,209 1,147,194 6,049,606 1,125,516 2,427,606 2,360,608 12,476,033 2,311,450 1,225,291 1,191,280 6,299,838 1,166,290 1,202,315 1,169,328 6,176,195 1,145,160 2,477,943 2,421,495 12,739,979 2,356,258 1,250,735 1,222,041 6,433,332 1,188,936 1,227,208 1,199,454 6,306,647 1,167,322 2,212,822 2,160,263 2,106,461 2,065,024 1,116,331 1,089,670 1,062,389 1,041,347 1,096,491 1,070,593 1,044,072 1,023,677 2,268,425 2,210,184 2,158,060 2,104,553 1,144,424 1,114,888 1,088,447 1,061,315 1,124,001 1,095,296 1,069,613 1,043,238 2,308,185 2,265,798 2,207,994 2,156,160 1,164,515 1,142,978 1,113,664 1,087,373 1,143,670 1,122,820 1,094,330 1,068,787 10,816,299 2,025,621 1,963,957 1,907,793 1,858,530 1,822,782 9,578,683 1,788,398 5,455,950 1,021,369 990,133 961,691 936,799 918,738 4,828,730 901,258 5,360,349 1,004,252 973,824 946,102 921,731 904,044 4,749,953 887,140 11,052,672 2,063,338 2,024,083 1,962,534 1,906,387 1,857,060 9,813,402 1,821,166 5,575,364 1,040,384 1,020,487 989,307 960,877 935,943 4,946,998 917,793 5,477,308 1,022,954 1,003,596 973,227 945,510 921,117 4,866,404 903,373 11,294,395 2,102,880 2,061,819 2,022,652 1,961,127 1,904,921 10,053,399 1,855,460 5,697,466 1,060,358 1,039,510 1,019,656 988,493 960,019 5,068,036 935,000 5,596,929 1,042,522 1,022,309 1,002,996 972,634 944,902 4,985,363 920,460 1,733,600 1,678,301 1,626,998 1,361,006 873,411 845,352 819,315 675,788 860,189 832,949 807,683 685,218 1,786,608 1,731,675 1,676,270 1,624,869 900,208 872,273 844,143 818,041 886,400 859,402 832,127 806,828 1,819,384 1,784,673 1,729,634 1,674,133 916,743 899,061 871,055 842,859 902,641 885,612 858,579 831,274 8,188,303 1,258,493 1,388,750 1,371,509 4,115,124 630,824 693,625 683,542 4,073,179 627,669 695,125 687,967 8,640,588 1,359,097 1,256,591 1,386,533 4,352,458 674,646 629,676 692,285 4,288,130 684,451 626,915 694,248 8,863,284 1,622,640 1,357,115 1,254,640 4,464,718 816,688 673,451 628,488 4,398,566 805,952 683,664 626,152 1,407,164 1,335,929 6,761,845 1,343,981 700,670 674,132 3,382,793 670,284 706,494 661,797 3,379,052 673,697 1,369,211 1,404,729 6,776,161 1,333,539 682,161 699,215 3,377,983 672,700 687,050 705,514 3,398,178 660,839 1,384,270 1,366,894 6,985,559 1,402,285 690,917 680,771 3,490,315 697,763 693,353 686,123 3,495,244 704,522 1,317,831 1,207,878 1,086,695 1,262,905 662,377 594,006 537,753 629,966 655,454 613,872 548,942 632,939 1,341,520 1,315,333 1,205,523 1,084,508 668,837 660,909 592,657 536,497 672,683 654,424 612,866 548,011 1,331,153 1,339,044 1,312,817 1,203,146 671,279 667,387 659,432 591,293 659,874 671,657 653,385 611,853 6,219,290 894,244 1,354,669 952,993 3,094,386 438,457 681,192 472,854 3,124,904 455,787 673,477 480,139 6,280,423 1,260,253 892,306 1,351,587 3,131,600 628,442 437,361 679,425 3,148,823 631,811 454,945 672,162 6,588,445 1,082,299 1,257,578 890,334 3,287,154 535,230 626,908 436,251 3,301,291 547,069 630,670 454,083 965,026 904,015 5,070,947 868,093 475,713 453,860 2,522,076 421,962 489,313 450,155 2,548,871 446,131 950,729 962,614 5,417,489 901,624 471,572 474,354 2,691,154 452,491 479,157 488,260 2,726,335 449,133 1,348,442 948,422 5,527,075 960,134 677,618 470,259 2,746,266 472,950 670,824 478,163 2,780,809 487,184 807,846 976,114 710,855 1,040,488 395,418 465,990 324,888 458,967 412,428 510,124 385,967 581,521 865,669 805,455 973,049 708,500 420,602 394,066 464,288 323,625 445,067 411,389 508,761 384,875 899,160 863,171 802,978 969,874 451,068 419,195 392,653 462,521 448,092 443,976 410,325 507,353 4,403,396 2,067,225 2,336,171 4,254,297 2,055,072 2,199,225 4,495,317 2,198,387 2,296,930 Female Both Sexes 79 Table B.7: Tanzania Mainland: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2031 - 2033 Age 40 41 42 43 44 40 - 44 45 46 47 48 49 45 - 49 50 51 52 53 54 50 - 54 55 56 57 58 59 55 - 59 60 61 62 63 64 60 - 64 65 66 67 68 69 65 - 69 70 71 72 73 74 70 - 74 75 76 77 78 79 75 - 79 80+ Both Sexes 2031 Male 2032 Male Female Both Sexes 2033 Male Female 576,053 829,119 266,807 374,782 309,246 454,337 1,036,817 573,879 457,051 265,616 579,766 308,263 706,056 1,033,008 322,306 455,050 383,750 577,958 560,667 612,372 784,577 3,362,788 576,583 520,314 739,375 437,960 933,411 3,207,643 307,836 613,226 357,995 349,541 616,656 2,245,254 370,167 337,027 463,291 270,798 252,819 275,445 355,757 1,525,610 260,858 240,088 330,729 194,710 422,280 1,448,665 146,219 289,966 171,203 166,980 295,574 1,069,942 174,484 162,221 214,949 126,279 307,848 336,927 428,820 1,837,178 315,725 280,226 408,646 243,250 511,131 1,758,978 161,617 323,260 186,792 182,561 321,082 1,175,312 195,683 174,806 248,342 144,519 825,783 558,258 609,549 3,604,286 780,689 573,507 517,311 734,785 435,026 3,041,318 926,602 305,382 607,924 354,638 345,973 2,540,519 609,822 365,722 332,618 456,717 372,983 251,517 273,919 1,621,086 353,633 259,175 238,416 328,231 193,117 1,372,572 418,519 144,803 286,914 169,252 164,905 1,184,393 291,604 171,935 159,654 211,238 452,800 306,741 335,630 1,983,200 427,056 314,332 278,895 406,554 241,909 1,668,746 508,083 160,579 321,010 185,386 181,068 1,356,126 318,218 193,787 172,964 245,479 571,618 822,303 555,737 3,688,722 606,586 776,597 570,275 514,151 729,935 3,197,544 431,922 919,389 302,787 602,309 351,072 2,607,479 342,204 602,586 361,021 327,939 264,371 371,098 250,149 1,662,974 272,309 351,394 257,402 236,650 325,582 1,443,337 191,422 414,525 143,304 283,676 167,178 1,200,105 162,718 287,404 169,245 156,934 307,247 451,205 305,588 2,025,748 334,277 425,203 312,873 277,501 404,353 1,754,207 240,500 504,864 159,483 318,633 183,894 1,407,374 179,486 315,182 191,776 171,005 617,772 2,059,055 162,306 345,311 184,986 192,567 337,107 1,222,277 175,685 147,588 227,840 179,738 288,615 966,548 79,205 171,052 87,499 93,690 159,631 591,077 84,193 71,106 105,409 61,370 329,157 1,092,507 83,101 174,259 97,487 98,877 177,476 631,200 91,492 76,482 122,431 118,368 266,611 2,031,490 607,323 159,301 338,299 180,926 187,914 1,473,763 328,259 170,637 142,963 220,085 123,903 958,334 282,687 77,436 166,880 85,181 90,979 703,163 154,619 81,315 68,471 101,159 142,708 1,073,156 324,636 81,865 171,419 95,745 96,935 770,600 173,640 89,322 74,492 118,926 449,748 2,083,498 262,183 596,264 156,122 330,897 176,643 1,522,109 183,012 318,957 165,342 138,133 207,305 983,606 121,389 276,419 75,569 162,498 82,746 718,621 88,141 149,386 78,318 65,740 242,443 1,099,892 140,794 319,845 80,553 168,399 93,897 803,488 94,871 169,571 87,024 72,393 311,145 1,041,996 103,495 151,784 79,345 94,081 119,575 548,280 133,123 455,201 51,469 73,437 37,392 45,517 52,803 260,618 178,022 586,795 52,026 78,347 41,953 48,564 66,772 287,662 173,329 1,035,273 298,628 98,873 144,453 75,196 88,733 705,883 58,688 464,252 126,795 48,821 69,352 35,143 42,564 322,675 114,641 571,021 171,833 50,052 75,101 40,053 46,169 383,208 212,004 1,017,448 166,646 285,677 94,122 136,956 70,986 754,387 96,773 478,358 55,926 120,316 46,123 65,216 32,881 320,462 115,231 539,090 110,720 165,361 47,999 71,740 38,105 433,925 76,924 53,825 80,345 37,580 140,582 389,256 282,001 35,483 25,094 35,735 17,143 54,976 168,431 120,533 41,441 28,731 44,610 20,437 85,606 220,825 161,468 112,305 71,845 49,972 74,133 34,421 342,676 368,794 49,117 32,817 23,063 32,620 15,537 153,154 151,503 63,188 39,028 26,909 41,513 18,884 189,522 217,291 83,336 104,990 66,758 46,130 67,963 369,177 346,682 39,611 45,447 30,178 21,066 29,580 165,882 142,325 43,725 59,543 36,580 25,064 38,383 203,295 204,357 Female Both Sexes 80 Table B.8: Tanzania Mainland: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2034 - 2035 Age Total 0 1 2 3 4 0-4 5 6 7 8 9 5-9 10 11 12 13 14 10-14 15 16 17 18 19 15 - 19 20 21 22 23 24 20 - 24 25 26 27 28 29 25 - 29 30 31 32 33 34 30 - 34 35 36 37 38 39 35 - 39 2034 2035 Both Sexes Male Female Both Sexes Male Female 84,477,152 41,672,430 42,804,722 86,871,546 42,869,263 44,002,283 2,764,705 2,655,324 2,588,182 1,398,015 1,340,734 1,306,663 1,366,690 1,314,590 1,281,519 2,822,997 2,723,074 2,640,683 1,427,514 1,375,019 1,333,226 1,395,483 1,348,055 1,307,457 2,531,225 2,471,895 13,011,331 2,417,165 1,277,668 1,247,507 6,570,587 1,219,701 1,253,557 1,224,388 6,440,744 1,197,464 2,579,335 2,525,241 13,291,330 2,467,617 1,302,005 1,274,467 6,712,231 1,245,189 1,277,330 1,250,774 6,579,099 1,222,428 2,353,022 2,305,587 2,263,619 2,206,111 1,187,170 1,163,083 1,141,759 1,112,597 1,165,852 1,142,504 1,121,860 1,093,514 2,413,959 2,350,464 2,303,437 2,261,737 1,217,945 1,185,756 1,161,874 1,140,687 1,196,014 1,164,708 1,141,563 1,121,050 11,545,504 2,154,498 2,101,380 2,060,406 2,021,242 1,959,659 10,297,185 1,903,321 5,824,310 1,086,418 1,059,488 1,038,688 1,018,831 987,629 5,191,054 959,072 5,721,194 1,068,080 1,041,892 1,021,718 1,002,411 972,030 5,106,131 944,249 11,797,214 2,204,454 2,153,005 2,099,977 2,059,012 2,019,774 10,536,222 1,958,057 5,951,451 1,111,642 1,085,549 1,058,668 1,037,867 1,017,965 5,311,691 986,681 5,845,763 1,092,812 1,067,456 1,041,309 1,021,145 1,001,809 5,224,531 971,376 1,853,696 1,817,476 1,782,629 1,727,487 933,961 915,607 897,834 869,759 919,735 901,869 884,795 857,728 1,901,569 1,851,803 1,815,454 1,780,479 958,031 932,824 914,388 896,530 943,538 918,979 901,066 883,949 9,084,609 1,671,897 1,620,316 1,355,076 4,576,233 841,497 815,265 672,212 4,508,376 830,400 805,051 682,864 9,307,362 1,725,243 1,669,577 1,617,933 4,688,454 868,384 840,067 813,795 4,618,908 856,859 829,510 804,138 1,252,644 1,381,989 7,281,922 1,364,576 627,272 689,540 3,645,786 679,385 625,372 692,449 3,636,136 685,191 1,353,006 1,250,639 7,616,398 1,379,708 670,952 626,053 3,819,251 688,167 682,054 624,586 3,797,147 691,541 1,399,843 1,328,754 1,336,547 1,310,285 696,320 669,852 665,922 657,948 703,523 658,902 670,625 652,337 1,362,251 1,397,391 1,326,340 1,334,037 678,002 694,871 668,423 664,458 684,249 702,520 657,917 669,579 6,740,005 1,200,752 1,080,069 1,254,865 3,369,427 589,926 533,955 625,352 3,370,578 610,826 546,114 629,513 6,799,727 1,307,733 1,198,334 1,077,808 3,393,921 656,458 588,546 532,661 3,405,806 651,275 609,788 545,147 888,331 1,345,237 5,769,254 946,033 435,119 675,769 2,860,121 468,893 453,212 669,468 2,909,133 477,140 1,252,105 886,276 5,722,256 1,341,930 623,765 433,953 2,835,383 673,852 628,340 452,323 2,886,873 668,078 957,576 896,613 860,580 800,414 471,491 449,588 417,727 391,188 486,085 447,025 442,853 409,226 943,579 954,931 893,976 857,898 467,481 469,976 448,048 416,198 476,098 484,955 445,928 441,700 4,461,216 2,198,887 2,262,329 4,992,314 2,475,555 2,516,759 81 Table B.8: Tanzania Mainland: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2034 - 2035 Age 40 41 42 43 44 40 - 44 45 46 47 48 49 45 - 49 50 51 52 53 54 50 - 54 55 56 57 58 59 55 - 59 60 61 62 63 64 60 - 64 65 66 67 68 69 65 - 69 70 71 72 73 74 70 - 74 75 76 77 78 79 75 - 79 80+ 2034 2035 Both Sexes Male Female Both Sexes Male Female 966,577 703,510 460,671 320,923 505,906 382,587 797,753 963,154 389,657 458,738 408,096 504,416 1,029,032 569,254 818,658 4,087,031 553,094 603,479 772,291 566,863 510,810 3,006,537 724,811 428,637 911,749 300,035 596,372 2,961,604 347,310 338,209 594,923 356,039 452,948 263,060 369,114 1,866,716 248,708 270,614 349,023 255,520 234,773 1,358,638 322,773 189,622 410,284 141,711 280,255 1,344,645 164,993 160,400 282,959 166,392 576,084 306,194 449,544 2,220,315 304,386 332,865 423,268 311,343 276,037 1,647,899 402,038 239,015 501,465 158,324 316,117 1,616,959 182,317 177,809 311,964 189,647 700,863 1,024,880 566,775 4,053,425 814,835 550,321 600,208 767,749 563,251 3,296,364 507,269 719,374 425,158 903,653 297,128 2,852,582 590,085 343,322 333,983 586,797 319,477 450,743 261,681 1,880,296 367,026 247,188 268,824 346,517 253,522 1,483,077 232,779 319,781 187,711 405,782 140,024 1,286,077 276,631 162,676 157,952 278,246 381,386 574,137 305,094 2,173,129 447,809 303,133 331,384 421,232 309,729 1,813,287 274,490 399,593 237,447 497,871 157,104 1,566,505 313,454 180,646 176,031 308,551 322,983 1,959,464 442,362 257,497 584,566 152,758 323,082 1,760,265 172,129 177,867 309,203 159,818 154,047 928,791 203,139 118,736 269,809 73,602 157,894 823,180 80,197 85,182 143,942 75,217 168,936 1,030,673 239,223 138,761 314,757 79,156 165,188 937,085 91,932 92,685 165,261 84,601 350,751 2,204,938 317,728 434,550 252,535 572,195 149,210 1,726,218 314,852 167,383 172,472 299,002 163,366 1,038,871 150,995 198,732 115,930 262,843 71,537 800,037 153,074 77,537 82,102 138,295 187,385 1,166,067 166,733 235,818 136,605 309,352 77,673 926,181 161,778 89,846 90,370 160,707 133,096 952,113 203,604 159,715 272,332 89,263 129,335 854,249 62,916 447,454 92,256 53,103 113,716 43,391 61,052 363,518 70,180 504,659 111,348 106,612 158,616 45,872 68,283 490,731 154,050 1,107,759 127,863 194,909 152,549 258,656 84,321 818,298 72,008 523,016 60,014 87,629 50,222 107,025 40,638 345,528 82,042 584,743 67,849 107,280 102,327 151,631 43,683 472,770 66,729 77,912 97,665 61,685 42,316 346,307 358,556 30,617 36,672 41,817 27,585 19,118 155,809 147,274 36,112 41,240 55,848 34,100 23,198 190,498 211,282 121,635 62,449 72,465 90,335 56,634 403,518 345,621 56,881 28,362 33,757 38,244 25,049 182,293 142,131 64,754 34,087 38,708 52,091 31,585 221,225 203,490 82 Table C.1: Tanzania Zanzibar: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2013 - 2015 Age Total 0 1 2 3 4 0-4 5 6 7 8 9 5-9 10 11 12 13 14 10 -14 15 16 17 18 19 15 - 19 20 21 22 23 24 20 - 24 25 26 27 28 29 25 - 29 30 31 32 33 34 30 - 34 35 36 37 38 39 35 - 39 2013 2014 2015 Both Sexes Male Female Both Sexes Male Female Both Sexes Male Female 1,348,776 653,267 695,509 1,394,690 676,215 718,475 1,441,183 699,408 741,775 53,517 27,059 26,458 54,441 27,527 26,914 55,176 27,896 27,280 41,458 35,692 40,146 42,273 20,857 18,045 20,119 21,104 20,601 17,647 20,027 21,169 52,555 41,099 35,474 39,959 26,525 20,671 17,929 20,018 26,030 20,428 17,545 19,941 53,485 52,112 40,857 35,314 26,994 26,292 20,541 17,842 26,491 25,820 20,316 17,472 213,086 42,654 39,212 38,110 38,602 35,579 194,157 31,711 36,292 26,675 39,901 33,411 167,990 30,191 29,161 28,163 107,184 21,257 19,945 18,983 19,265 17,520 96,970 15,761 18,319 13,197 20,355 16,658 84,290 14,796 14,849 13,259 105,902 21,397 19,267 19,127 19,337 18,059 97,187 15,950 17,973 13,478 19,546 16,753 83,700 15,395 14,312 14,904 223,528 42,115 42,520 39,107 38,021 38,523 200,286 35,514 31,662 36,237 26,636 39,839 169,888 33,351 30,130 29,099 112,670 21,018 21,184 19,887 18,933 19,222 100,244 17,486 15,735 18,290 13,177 20,322 85,010 16,626 14,763 14,814 110,858 21,097 21,336 19,220 19,088 19,301 100,042 18,028 15,927 17,947 13,459 19,517 84,878 16,725 15,367 14,285 236,944 39,815 41,989 42,407 39,016 37,943 201,170 38,454 35,460 31,616 36,185 26,593 168,308 39,772 33,288 30,068 119,565 19,939 20,948 21,122 19,835 18,890 100,734 19,184 17,457 15,711 18,262 13,155 83,769 20,284 16,591 14,728 117,379 19,876 21,041 21,285 19,181 19,053 100,436 19,270 18,003 15,905 17,923 13,438 84,539 19,488 16,697 15,340 26,414 33,747 147,676 24,345 36,252 17,525 28,389 20,638 127,149 19,758 28,478 18,228 17,884 21,214 105,562 13,488 32,281 9,254 18,694 11,311 85,028 10,354 24,608 11,933 11,577 14,465 72,937 12,511 16,015 71,430 10,801 16,483 7,814 12,741 8,976 56,815 8,981 13,003 8,261 8,012 9,576 47,833 5,892 14,260 4,404 9,074 5,257 38,887 4,803 11,498 5,559 5,395 6,574 33,829 13,903 17,732 76,246 13,544 19,769 9,711 15,648 11,662 70,334 10,777 15,475 9,967 9,872 11,638 57,729 7,596 18,021 4,850 9,620 6,054 46,141 5,551 13,110 6,374 6,182 7,891 39,108 28,098 26,346 147,024 33,655 24,275 36,143 17,472 28,297 139,842 20,574 19,693 28,384 18,168 17,823 104,642 21,140 13,441 32,166 9,220 18,622 94,589 11,267 10,312 24,509 11,884 11,527 69,499 13,223 12,473 71,899 15,963 10,763 16,421 7,785 12,691 63,623 8,942 8,946 12,953 8,230 7,980 47,051 9,538 5,869 14,201 4,386 9,035 43,029 5,235 4,780 11,445 5,535 5,369 32,364 14,875 13,873 75,125 17,692 13,512 19,722 9,687 15,606 76,219 11,632 10,747 15,431 9,938 9,843 57,591 11,602 7,572 17,965 4,834 9,587 51,560 6,032 5,532 13,064 6,349 6,158 37,135 29,031 28,027 160,186 26,276 33,558 24,202 36,033 17,417 137,486 28,210 20,508 19,630 28,289 18,106 114,743 17,763 21,066 13,392 32,049 9,188 93,458 18,553 11,222 10,272 24,410 11,834 76,291 14,773 13,183 79,559 12,433 15,906 10,722 16,360 7,754 63,175 12,644 8,908 8,912 12,903 8,197 51,564 7,949 9,499 5,844 14,142 4,368 41,802 8,997 5,211 4,759 11,393 5,508 35,868 14,258 14,844 80,627 13,843 17,652 13,480 19,673 9,663 74,311 15,566 11,600 10,718 15,386 9,909 63,179 9,814 11,567 7,548 17,907 4,820 51,656 9,556 6,011 5,513 13,017 6,326 40,423 83 Table C.1: Tanzania Zanzibar: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2013 - 2015 Age 40 41 42 43 44 40 - 44 45 46 47 48 49 45 - 49 50 51 52 53 54 50 - 54 55 56 57 58 59 55 - 59 60 61 62 63 64 60 - 64 65 66 67 68 69 65 - 69 70 71 72 73 74 70 - 74 75 76 77 78 79 75 - 79 80+ 2013 2014 2015 Both Sexes Male Female Both Sexes Male Female Both Sexes Male Female 8,965 28,073 5,728 4,049 12,816 2,846 4,916 15,257 2,882 14,397 8,922 27,931 6,540 4,026 12,746 7,857 4,896 15,185 11,473 14,330 8,876 5,341 6,506 4,003 6,132 7,824 4,873 11,754 7,347 61,867 5,571 5,835 3,600 29,146 2,754 5,919 3,747 32,721 2,817 5,696 11,689 68,635 7,305 2,829 5,799 31,940 3,578 2,867 5,890 36,695 3,727 27,783 5,666 68,128 11,622 12,670 2,813 31,333 5,763 15,113 2,853 36,795 5,859 17,678 6,753 6,887 10,909 47,798 9,886 18,196 4,117 8,880 3,308 3,369 5,322 23,633 3,000 8,502 2,201 8,798 3,445 3,518 5,587 24,165 6,886 9,694 1,916 5,539 17,569 6,712 6,838 43,963 10,826 9,808 18,035 2,737 8,818 3,285 3,341 21,759 5,276 2,972 8,416 2,802 8,751 3,427 3,497 22,204 5,550 6,836 9,619 7,262 5,505 17,456 6,664 48,509 6,787 10,736 9,723 3,553 2,718 8,755 3,258 24,047 3,313 5,226 2,941 3,709 2,787 8,701 3,406 24,462 3,474 5,510 6,782 7,250 4,533 43,982 4,018 9,111 3,945 3,330 3,645 24,049 2,117 12,096 1,912 3,269 2,320 21,714 1,593 5,643 1,279 1,690 1,712 4,058 2,512 20,273 2,324 4,929 2,245 2,018 1,959 13,475 1,151 5,962 1,071 1,840 1,331 11,355 971 2,910 764 978 847 3,192 2,021 23,709 1,694 4,182 1,700 1,312 1,686 10,574 966 6,134 841 1,429 989 10,359 622 2,733 515 712 865 4,079 7,178 49,926 4,487 3,972 9,003 3,896 3,284 24,642 3,591 2,080 11,880 1,873 3,197 22,621 2,265 1,554 5,483 1,237 1,633 2,178 4,013 22,855 2,484 2,295 4,864 2,215 1,987 13,845 1,927 1,129 5,842 1,048 1,796 11,742 1,296 945 2,820 738 944 1,901 3,165 27,071 2,003 1,677 4,139 1,681 1,297 10,797 1,664 951 6,038 825 1,401 10,879 969 609 2,663 499 689 17,866 4,037 49,149 7,103 4,436 3,924 8,891 3,841 28,195 3,235 3,533 2,045 11,647 1,832 22,292 3,121 2,206 1,509 5,314 1,196 8,326 2,153 21,959 3,966 2,452 2,264 4,795 2,181 15,658 1,955 1,892 1,108 5,713 1,022 11,690 1,749 1,260 916 2,725 710 9,540 1,884 27,190 3,137 1,984 1,660 4,096 1,660 12,537 1,280 1,641 937 5,934 810 10,602 1,372 946 593 2,589 486 11,917 906 7,636 838 6,470 467 3,621 451 5,447 439 4,015 387 12,172 1,649 868 7,294 6,743 813 445 3,447 5,429 836 423 3,847 13,346 1,569 1,580 829 7,360 905 777 424 5,986 664 803 405 1,523 763 11,666 474 2,405 671 434 739 818 401 5,758 263 1,264 364 235 364 705 362 5,908 211 1,141 307 199 375 799 1,440 12,050 717 441 2,230 618 396 429 771 5,905 375 245 1,166 333 214 370 669 6,145 342 196 1,064 285 182 6,937 754 11,669 1,355 669 409 2,058 566 3,266 403 5,775 723 348 226 1,071 304 3,671 351 5,894 632 321 183 987 262 4,723 7,475 2,490 3,429 2,233 4,046 4,402 6,981 2,333 3,203 2,069 3,778 5,057 6,252 2,672 2,878 2,385 3,374 84 Table C.2: Tanzania Zanzibar: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2016 - 2018 Age Total 0 1 2 3 4 0-4 5 6 7 8 9 5-9 10 11 12 13 14 10 - 14 15 16 17 18 19 15 - 19 20 21 22 23 24 20 - 24 25 26 27 28 29 25 - 29 30 31 32 33 34 30 - 34 35 36 37 38 39 35 - 39 Both Sexes 2016 Male Female Both Sexes 2017 Male Female Both Sexes 2018 Male Female 1,488,036 722,780 765,256 1,534,291 745,849 788,442 1,579,849 768,528 811,321 55,647 54,232 53,045 28,136 27,371 26,763 27,511 26,861 26,282 55,123 54,727 53,802 27,871 27,624 27,145 27,252 27,103 26,657 54,556 54,244 54,307 27,582 27,380 27,401 26,974 26,864 26,906 51,811 40,676 255,411 35,190 26,131 20,444 128,845 17,774 25,680 20,232 126,566 17,416 52,747 51,589 267,988 40,536 26,604 26,010 135,254 20,367 26,143 25,579 132,734 20,169 53,511 52,531 269,149 51,419 26,988 26,485 135,836 25,917 26,523 26,046 133,313 25,502 39,698 41,882 42,311 38,937 198,018 37,879 38,394 35,408 31,568 36,127 179,376 26,550 39,693 33,216 29,998 28,960 158,417 27,954 26,201 33,459 19,875 20,889 21,068 19,791 99,397 18,856 19,152 17,431 15,686 18,231 89,356 13,130 20,239 16,550 14,688 14,731 79,338 13,141 12,389 15,847 19,823 20,993 21,243 19,146 98,621 19,023 19,242 17,977 15,882 17,896 90,020 13,420 19,454 16,666 15,310 14,229 79,079 14,813 13,812 17,612 35,087 39,598 41,789 42,231 199,241 38,870 37,821 38,340 35,359 31,521 181,911 36,069 26,499 39,614 33,143 29,926 165,251 28,884 27,877 26,128 17,717 19,819 20,838 21,025 99,766 19,755 18,825 19,124 17,405 15,660 90,769 18,200 13,102 20,192 16,507 14,645 82,646 14,684 13,097 12,345 17,370 19,779 20,951 21,206 99,475 19,115 18,996 19,216 17,954 15,861 91,142 17,869 13,397 19,422 16,636 15,281 82,605 14,200 14,780 13,783 40,424 35,006 39,514 41,713 208,076 42,162 38,815 37,771 38,289 35,309 192,346 31,471 36,003 26,447 39,527 33,065 166,513 29,848 28,805 27,799 20,304 17,670 19,772 20,796 104,459 20,987 19,725 18,798 19,097 17,378 95,985 15,633 18,161 13,072 20,141 16,461 83,468 14,599 14,636 13,050 20,120 17,336 19,742 20,917 103,617 21,175 19,090 18,973 19,192 17,931 96,361 15,838 17,842 13,375 19,386 16,604 83,045 15,249 14,169 14,749 24,129 35,921 147,664 17,363 10,682 16,297 68,356 7,725 13,447 19,624 79,308 9,638 33,361 24,058 140,308 35,813 15,790 10,643 66,559 16,238 17,571 13,415 73,749 19,575 26,051 33,261 145,764 23,987 12,301 15,733 70,319 10,604 13,750 17,528 75,445 13,383 28,120 20,442 19,565 28,196 12,596 8,873 8,878 12,853 15,524 11,569 10,687 15,343 17,310 28,030 20,379 19,502 7,697 12,548 8,841 8,845 9,613 15,482 11,538 10,657 35,704 17,254 27,946 20,312 16,179 7,668 12,504 8,807 19,525 9,586 15,442 11,505 113,686 18,044 17,701 20,992 50,925 8,165 7,916 9,460 62,761 9,879 9,785 11,532 121,034 28,102 17,984 17,640 54,169 12,803 8,134 7,885 66,865 15,299 9,850 9,755 125,203 19,437 28,008 17,923 55,762 8,811 12,753 8,102 69,441 10,626 15,255 9,821 13,348 31,933 102,018 9,150 5,822 14,083 45,446 4,347 7,526 17,850 56,572 4,803 20,920 13,299 97,945 31,816 9,423 5,798 44,043 14,023 11,497 7,501 53,902 17,793 17,582 20,846 103,796 13,251 7,855 9,384 46,905 5,772 9,727 11,462 56,891 7,479 18,483 11,179 10,230 24,306 8,958 5,189 4,737 11,339 9,525 5,990 5,493 12,967 9,116 18,408 11,135 10,186 4,329 8,918 5,165 4,715 4,787 9,490 5,970 5,471 31,700 9,080 18,336 11,089 13,963 4,310 8,878 5,141 17,737 4,770 9,458 5,948 73,348 34,570 38,778 80,661 37,150 43,511 83,456 38,064 45,392 85 Table C.2: Tanzania Zanzibar: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2016 - 2018 Age 40 41 42 43 44 40 - 44 45 46 47 48 49 45 - 49 50 51 52 53 54 50 - 54 55 56 57 58 59 55 - 59 60 61 62 63 64 60 - 64 65 66 67 68 69 65 - 69 70 71 72 73 74 70 - 74 75 76 77 78 79 75 - 79 80+ Both Sexes 2016 Male Both Sexes 2017 Male Both Sexes 2018 Male Female Female Female 11,779 11,420 5,480 5,314 6,299 6,106 24,197 11,725 11,282 5,452 12,915 6,273 10,142 24,085 4,692 11,224 5,450 12,861 14,257 8,831 27,635 73,922 6,470 3,981 12,596 33,841 7,787 4,850 15,039 40,081 11,365 14,185 8,784 70,256 5,286 6,433 3,957 32,410 6,079 7,752 4,827 37,846 11,669 11,305 14,110 71,311 5,424 5,255 6,395 32,990 6,245 6,050 7,715 38,321 5,632 11,556 7,218 5,471 2,794 5,727 3,530 2,698 2,838 5,829 3,688 2,773 27,485 5,601 11,488 7,172 12,520 2,776 5,689 3,505 14,965 2,825 5,799 3,667 8,738 27,331 5,570 11,417 3,934 12,441 2,760 5,649 4,804 14,890 2,810 5,768 17,336 47,213 6,615 6,731 8,687 23,436 3,230 3,282 8,649 23,777 3,385 3,449 5,433 57,179 17,210 6,561 2,678 27,168 8,615 3,201 2,755 30,011 8,595 3,360 7,127 60,183 5,394 17,073 3,479 28,263 2,656 8,537 3,648 31,920 2,738 8,536 10,644 9,639 17,691 51,320 5,175 2,910 8,232 22,829 5,469 6,729 9,459 28,491 6,674 10,545 9,552 50,542 3,250 5,120 2,879 23,065 3,424 5,425 6,673 27,477 6,505 6,612 10,445 46,029 3,169 3,216 5,065 22,643 3,336 3,396 5,380 23,386 3,996 7,023 4,385 3,877 2,128 3,916 2,420 2,234 1,868 3,107 1,965 1,643 17,514 3,953 6,943 4,332 8,137 2,103 3,867 2,388 9,377 1,850 3,076 1,944 9,461 17,330 3,910 6,857 2,845 8,039 2,077 3,813 6,616 9,291 1,833 3,044 8,770 28,051 3,784 3,182 3,469 2,003 11,402 23,840 4,724 15,422 2,144 1,920 1,853 1,082 5,578 12,577 4,046 12,629 1,640 1,262 1,616 921 5,824 11,263 3,824 36,566 8,642 3,721 3,124 3,402 1,963 20,852 2,200 18,695 4,646 2,105 1,882 1,813 1,059 11,505 1,624 17,871 3,996 1,616 1,242 1,589 904 9,347 4,272 41,830 3,767 8,505 3,658 3,065 3,330 22,325 2,352 19,126 2,164 4,563 2,065 1,842 1,771 12,405 1,920 22,704 1,603 3,942 1,593 1,223 1,559 9,920 1,790 3,042 2,144 1,463 996 1,701 1,222 886 794 1,341 922 577 11,143 1,743 2,958 2,078 5,438 968 1,650 1,180 5,705 775 1,308 898 1,919 10,866 1,696 2,867 1,032 5,287 939 1,594 887 5,579 757 1,273 5,138 13,577 1,152 1,506 2,627 7,432 683 866 2,511 6,145 469 640 1,412 19,334 4,949 1,105 852 10,088 2,523 654 560 9,246 2,426 451 2,009 19,357 1,360 4,752 1,139 9,991 819 2,414 870 9,366 541 2,338 1,514 789 6,566 11,527 742 402 3,078 5,771 772 387 3,488 5,756 1,440 1,438 747 9,679 825 702 379 5,083 615 736 368 4,596 1,055 1,369 1,361 9,897 622 782 662 5,299 433 587 699 4,598 708 1,266 622 378 1,879 4,853 5,795 376 672 322 207 973 2,550 2,689 332 594 300 171 906 2,303 3,106 6,184 664 1,178 573 346 8,945 6,599 2,886 353 622 295 189 4,345 3,134 3,298 311 556 278 157 4,600 3,465 705 5,790 616 1,085 525 8,721 5,893 356 2,689 325 571 269 4,210 2,803 349 3,101 291 514 256 4,511 3,090 86 Table C.3: Tanzania Zanzibar: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2019 - 2021 Age Total 0 1 2 3 4 0-4 5 6 7 8 9 5-9 10 11 12 13 14 10 - 14 15 16 17 18 19 15 - 19 20 21 22 23 24 20 - 24 25 26 27 28 29 25 - 29 30 31 32 33 34 30 - 34 35 36 37 38 39 35 - 39 Both Sexes 2019 Male Female Both Sexes 2020 Male 2021 Male Female 1,625,589 54,834 791,299 27,720 834,290 27,114 1,671,598 55,145 814,159 27,876 857,439 27,269 1,717,608 55,282 837,034 27,946 880,574 27,336 53,707 53,836 54,020 53,294 27,107 27,164 27,246 26,869 26,600 26,672 26,774 26,425 54,012 53,320 53,563 53,811 27,258 26,900 27,015 27,131 26,754 26,420 26,548 26,680 54,346 53,634 53,057 53,362 27,427 27,057 26,757 26,904 26,919 26,577 26,300 26,458 269,691 52,359 51,279 40,328 136,106 26,390 25,838 20,250 133,585 25,969 25,441 20,078 269,851 53,129 52,223 51,162 136,180 26,777 26,313 25,771 133,671 26,352 25,910 25,391 269,681 53,646 52,994 52,108 136,091 27,038 26,700 26,247 133,590 26,608 26,294 25,861 34,931 39,442 218,339 41,645 17,628 19,732 109,838 20,759 17,303 19,710 108,501 20,886 40,248 34,870 231,632 39,379 20,203 17,594 116,658 19,697 20,045 17,276 114,974 19,682 51,063 40,177 249,988 34,817 25,714 20,165 125,864 17,563 25,349 20,012 124,124 17,254 42,101 38,765 37,718 38,234 20,955 19,698 18,771 19,068 21,146 19,067 18,947 19,166 41,587 42,047 38,714 37,667 20,727 20,926 19,670 18,743 20,860 21,121 19,044 18,924 39,330 41,537 41,994 38,660 19,671 20,701 20,898 19,640 19,659 20,836 21,096 19,020 198,463 35,253 31,414 35,931 99,251 17,348 15,600 18,119 99,212 17,905 15,814 17,812 199,394 38,174 35,189 31,352 99,763 19,034 17,311 15,565 99,631 19,140 17,878 15,787 196,338 37,610 38,109 35,122 98,473 18,711 18,997 17,272 97,865 18,899 19,112 17,850 26,391 39,434 168,423 32,979 29,768 28,723 27,717 25,974 13,041 20,084 84,192 16,409 14,550 14,584 13,003 12,256 13,350 19,350 84,231 16,570 15,218 14,139 14,714 13,718 35,855 26,330 166,900 39,334 32,894 29,685 28,640 27,639 18,074 13,003 82,987 20,023 16,356 14,500 14,532 12,957 17,781 13,327 83,913 19,311 16,538 15,185 14,108 14,682 31,288 35,775 177,904 26,266 39,232 32,802 29,602 28,557 15,527 18,025 88,532 12,964 19,958 16,299 14,450 14,481 15,761 17,750 89,372 13,302 19,274 16,503 15,152 14,076 145,161 33,161 23,914 35,595 70,802 15,676 10,566 16,120 74,359 17,485 13,348 19,475 158,192 25,898 33,063 23,845 78,368 12,212 15,620 10,530 79,824 13,686 17,443 13,315 156,459 27,558 25,821 32,966 78,152 12,911 12,170 15,566 78,307 14,647 13,651 17,400 17,202 27,856 137,728 20,249 7,641 12,457 62,460 8,775 9,561 15,399 75,268 11,474 35,487 17,149 135,442 27,770 16,062 7,612 62,036 12,412 19,425 9,537 73,406 15,358 23,774 35,378 145,497 17,097 10,492 16,004 67,143 7,586 13,282 19,374 78,354 9,511 19,375 27,915 17,862 17,520 8,778 12,704 8,069 7,822 10,597 15,211 9,793 9,698 20,184 19,313 27,823 17,802 8,742 8,745 12,655 8,038 11,442 10,568 15,168 9,764 27,682 20,120 19,251 27,730 12,365 8,710 8,712 12,606 15,317 11,410 10,539 15,124 102,921 20,772 13,204 31,583 9,048 18,261 92,868 46,148 9,345 5,749 13,905 4,292 8,837 42,128 56,773 11,427 7,455 17,678 4,756 9,424 50,740 112,892 17,459 20,697 13,156 31,463 9,012 91,787 50,592 7,790 9,306 5,725 13,843 4,272 40,936 62,300 9,669 11,391 7,431 17,620 4,740 50,851 111,880 17,740 17,398 20,624 13,107 31,342 100,211 49,979 8,005 7,759 9,268 5,700 13,783 44,515 61,901 9,735 9,639 11,356 7,407 17,559 55,696 Female Both Sexes 87 Table C.3: Tanzania Zanzibar: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2019 - 2021 Age 40 41 42 43 44 40 - 44 45 46 47 48 49 45 - 49 50 51 52 53 54 50 - 54 55 56 57 58 59 55 - 59 60 61 62 63 64 60 - 64 65 66 67 68 69 65 - 69 70 71 72 73 74 70 - 74 75 76 77 78 79 75 - 79 80+ Both Sexes 2019 Male 2021 Male Female 11,043 10,096 5,117 4,668 5,926 5,428 18,187 10,994 8,797 5,091 9,390 5,903 8,975 18,107 4,252 8,753 4,723 9,354 23,973 11,611 11,249 67,972 14,037 8,688 27,177 5,535 11,340 66,777 7,075 5,351 16,928 6,448 6,550 42,352 10,342 9,367 17,141 3,861 11,166 5,393 5,227 31,571 6,358 3,909 12,361 2,739 5,606 30,973 3,450 2,631 8,454 3,137 3,181 20,853 5,007 2,812 7,938 2,048 12,807 6,218 6,022 36,401 7,679 4,779 14,816 2,796 5,734 35,804 3,625 2,720 8,474 3,311 3,369 21,499 5,335 6,555 9,203 1,813 10,049 23,852 11,551 74,633 11,190 13,962 8,641 27,016 5,499 66,308 11,260 7,020 5,306 16,778 6,386 46,750 6,485 10,234 9,269 16,940 4,644 11,104 5,362 34,998 5,195 6,320 3,885 12,277 2,720 30,397 5,560 3,420 2,606 8,368 3,103 23,057 3,145 4,947 2,776 7,832 5,405 12,748 6,189 39,635 5,995 7,642 4,756 14,739 2,779 35,911 5,700 3,600 2,700 8,410 3,283 23,693 3,340 5,287 6,493 9,108 10,942 10,000 23,736 71,760 11,491 11,130 13,884 8,590 26,846 71,941 5,459 11,176 6,961 5,261 16,619 45,476 6,324 6,420 10,124 9,167 5,065 4,619 11,044 33,733 5,331 5,164 6,281 3,859 12,188 32,823 2,697 5,513 3,387 2,580 8,277 22,454 3,068 3,108 4,887 2,740 5,877 5,381 12,692 38,027 6,160 5,966 7,603 4,731 14,658 39,118 2,762 5,663 3,574 2,681 8,342 23,022 3,256 3,312 5,237 6,427 6,767 47,478 4,211 3,706 8,355 3,587 2,999 22,858 3,256 1,871 10,573 1,644 3,758 21,563 2,315 2,125 4,474 2,022 1,799 12,735 1,728 1,004 5,129 908 3,009 25,915 1,896 1,581 3,881 1,565 1,200 10,123 1,528 867 5,444 736 3,811 46,739 6,672 4,146 3,645 8,200 3,513 26,176 2,930 3,175 1,819 10,264 2,018 20,718 3,698 2,274 2,086 4,381 1,974 14,413 1,754 1,680 973 4,964 1,793 26,021 2,974 1,872 1,559 3,819 1,539 11,763 1,176 1,495 846 5,300 16,727 48,762 3,758 6,566 4,076 3,576 8,035 26,011 3,434 2,858 3,091 1,766 7,719 21,522 1,986 3,632 2,231 2,042 4,282 14,173 1,926 1,708 1,631 942 9,008 27,240 1,772 2,934 1,845 1,534 3,753 11,838 1,508 1,150 1,460 824 2,774 20,118 1,936 1,307 4,546 1,003 1,297 10,089 1,538 10,307 1,094 785 2,302 590 739 5,510 1,236 9,811 842 522 2,244 413 558 4,579 1,592 19,780 2,674 1,859 1,248 4,331 952 11,064 877 10,248 1,478 1,047 748 2,185 558 6,016 715 9,532 1,196 812 500 2,146 394 5,048 9,936 21,085 1,537 2,568 1,778 1,189 4,105 11,177 4,790 10,997 844 1,415 999 710 2,063 6,031 5,146 10,088 693 1,153 779 479 2,042 5,146 1,283 657 5,387 569 992 8,888 5,463 622 331 2,490 299 520 4,262 2,600 661 326 2,897 270 472 4,626 2,863 1,222 1,203 613 4,977 519 8,534 5,524 693 579 306 2,287 272 4,137 2,655 529 624 307 2,690 247 4,397 2,869 895 1,143 1,122 565 4,561 8,286 5,152 523 646 538 281 2,084 4,072 2,480 372 497 584 284 2,477 4,214 2,672 Female Both Sexes 2020 Male Female Both Sexes 88 Table C.4: Tanzania Zanzibar: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2022 - 2024 Age Total 0 1 2 3 4 0-4 5 6 7 8 9 5-9 10 11 12 13 14 10 - 14 15 16 17 18 19 15 - 19 20 21 22 23 24 20 - 24 25 26 27 28 29 25 - 29 30 31 32 33 34 30 - 34 35 36 37 38 39 35 - 39 Both Sexes 2022 Male Female Both Sexes 2023 Male Female Both Sexes 2024 Male Female 1,762,989 54,778 859,573 27,691 903,416 27,087 1,807,581 54,271 881,717 27,434 925,864 26,837 1,852,170 54,285 903,852 27,441 948,318 26,844 54,508 53,981 53,379 52,863 27,511 27,232 26,918 26,649 26,997 26,749 26,461 26,214 54,041 54,156 53,732 53,194 27,276 27,322 27,096 26,815 26,765 26,834 26,636 26,379 53,564 53,705 53,915 53,551 27,036 27,095 27,190 26,994 26,528 26,610 26,725 26,557 269,509 53,206 53,515 52,879 136,001 26,816 26,964 26,634 133,508 26,390 26,551 26,245 269,394 52,715 53,078 53,403 135,943 26,566 26,743 26,899 133,451 26,149 26,335 26,504 269,020 53,049 52,595 52,972 135,756 26,732 26,496 26,682 133,264 26,317 26,099 26,290 52,007 50,976 262,583 40,119 26,188 25,664 132,266 20,131 25,819 25,312 130,317 19,988 52,783 51,924 263,903 50,903 26,579 26,142 132,929 25,623 26,204 25,782 130,974 25,280 53,308 52,701 264,625 51,852 26,843 26,532 133,285 26,101 26,465 26,169 131,340 25,751 34,772 39,279 41,485 41,939 17,539 19,643 20,672 20,868 17,233 19,636 20,813 21,071 40,068 34,731 39,231 41,431 20,104 17,517 19,618 20,643 19,964 17,214 19,613 20,788 50,840 40,023 34,689 39,183 25,589 20,080 17,493 19,591 25,251 19,943 17,196 19,592 197,594 38,603 37,546 38,037 98,853 19,608 18,674 18,955 98,741 18,995 18,872 19,082 206,364 41,878 38,540 37,478 103,505 20,833 19,571 18,634 102,859 21,045 18,969 18,844 216,587 41,371 41,811 38,470 108,854 20,609 20,795 19,528 107,733 20,762 21,016 18,942 35,051 31,217 180,454 35,686 26,199 39,125 32,710 29,518 17,231 15,484 89,952 17,971 12,923 19,891 16,242 14,399 17,820 15,733 90,502 17,715 13,276 19,234 16,468 15,119 37,960 34,976 190,832 31,143 35,597 26,127 39,016 32,620 18,908 17,186 95,132 15,438 17,914 12,879 19,822 16,188 19,052 17,790 95,700 15,705 17,683 13,248 19,194 16,432 37,405 37,880 196,937 34,894 31,068 35,504 26,059 38,908 18,590 18,859 98,381 17,136 15,392 17,856 12,837 19,755 18,815 19,021 98,556 17,758 15,676 17,648 13,222 19,153 163,238 28,473 27,479 25,746 81,426 14,430 12,867 12,128 81,812 14,043 14,612 13,618 164,503 29,437 28,393 27,400 82,241 14,351 14,381 12,823 82,262 15,086 14,012 14,577 166,433 32,530 29,353 28,312 82,976 16,134 14,302 14,334 83,457 16,396 15,051 13,978 32,867 23,701 138,266 35,271 15,511 10,454 65,390 15,948 17,356 13,247 72,876 19,323 25,672 32,771 143,673 23,631 12,086 15,457 69,098 10,417 13,586 17,314 74,575 13,214 27,324 25,596 143,115 32,676 12,781 12,044 69,595 15,404 14,543 13,552 73,520 17,272 17,046 27,595 20,055 19,187 7,559 12,319 8,676 8,678 9,487 15,276 11,379 10,509 35,164 16,992 27,508 19,991 15,890 7,530 12,273 8,643 19,274 9,462 15,235 11,348 23,562 35,059 16,941 27,421 10,380 15,834 7,503 12,227 13,182 19,225 9,438 15,194 119,154 27,638 17,681 17,336 20,550 13,058 96,263 53,180 12,556 7,974 7,727 9,229 5,676 43,162 65,974 15,082 9,707 9,609 11,321 7,382 53,101 123,286 19,121 27,546 17,620 17,277 20,473 102,037 54,753 8,643 12,508 7,942 7,696 9,190 45,979 68,533 10,478 15,038 9,678 9,581 11,283 56,058 135,659 19,927 19,062 27,452 17,558 17,213 101,212 61,348 8,610 8,611 12,458 7,909 7,663 45,251 74,311 11,317 10,451 14,994 9,649 9,550 55,961 89 Table C.4: Tanzania Zanzibar: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2022 - 2024 Age 40 41 42 43 44 40 - 44 45 46 47 48 49 45 - 49 50 51 52 53 54 50 - 54 55 56 57 58 59 55 - 59 60 61 62 63 64 60 - 64 65 66 67 68 69 65 - 69 70 71 72 73 74 70 - 74 75 76 77 78 79 75 - 79 80+ Both Sexes 2022 Male Female Both Sexes 2023 Male Female Both Sexes 2024 Male Female 31,217 8,936 13,721 4,232 17,496 4,704 13,006 31,084 5,650 13,655 7,356 17,429 20,393 12,952 9,149 5,623 11,244 7,329 18,022 10,893 9,953 79,021 23,616 11,433 11,068 13,806 8,536 68,459 26,661 5,420 11,083 6,901 5,212 55,277 16,460 6,260 6,350 10,007 8,708 5,040 4,595 36,296 10,981 5,301 5,131 6,239 3,830 31,482 12,091 2,674 5,460 3,353 2,553 26,131 8,187 3,033 3,070 4,822 9,314 5,853 5,358 42,725 12,635 6,132 5,937 7,567 4,706 36,977 14,570 2,746 5,623 3,548 2,659 29,146 8,273 3,227 3,280 5,185 8,897 17,938 10,838 81,763 9,902 23,494 11,370 11,005 13,719 69,490 8,481 26,464 5,376 10,988 6,837 58,146 5,163 16,297 6,194 6,278 4,211 8,663 5,012 37,191 4,568 10,916 5,266 5,098 6,194 32,042 3,802 11,987 2,649 5,407 3,318 27,163 2,525 8,094 2,996 3,030 4,686 9,275 5,826 44,572 5,334 12,578 6,104 5,907 7,525 37,448 4,679 14,477 2,727 5,581 3,519 30,983 2,638 8,203 3,198 3,248 30,949 8,853 17,855 91,002 10,786 9,852 23,369 11,306 10,939 66,252 13,628 8,416 26,254 5,331 10,889 64,518 6,774 5,111 16,126 6,125 13,588 4,189 8,618 41,167 4,985 4,542 10,851 5,233 5,062 30,673 6,147 3,768 11,877 2,625 5,351 29,768 3,282 2,496 7,998 2,958 17,361 4,664 9,237 49,835 5,801 5,310 12,518 6,073 5,877 35,579 7,481 4,648 14,377 2,706 5,538 34,750 3,492 2,615 8,128 3,167 9,058 48,135 16,499 3,701 6,456 4,001 3,502 34,159 7,855 3,352 2,780 3,000 2,700 21,812 7,598 1,952 3,565 2,185 1,996 17,296 4,176 1,875 1,656 1,579 6,358 26,323 8,901 1,749 2,891 1,816 1,506 16,863 3,679 1,477 1,124 1,421 9,884 43,816 8,942 16,253 3,638 6,336 3,920 39,089 3,425 7,667 3,261 2,699 4,755 21,400 2,658 7,468 1,914 3,490 2,137 17,667 1,947 4,066 1,820 1,604 5,129 22,416 6,284 8,785 1,724 2,846 1,783 21,422 1,478 3,601 1,441 1,095 6,203 40,339 9,752 8,817 15,990 3,573 6,212 44,344 3,834 3,344 7,467 3,168 2,989 19,723 4,681 2,614 7,328 1,877 3,415 19,915 2,085 1,897 3,948 1,763 3,214 20,616 5,071 6,203 8,662 1,696 2,797 24,429 1,749 1,447 3,519 1,405 1,708 18,695 9,587 1,475 2,459 1,696 1,128 16,345 908 10,194 4,606 807 1,351 950 672 8,386 800 8,501 4,981 668 1,108 746 456 7,959 2,903 19,955 1,648 9,222 1,412 2,344 1,607 16,233 1,524 10,961 874 4,416 771 1,284 897 8,242 1,379 8,994 774 4,806 641 1,060 710 7,991 2,611 20,424 2,803 1,587 8,837 1,347 2,225 16,799 1,549 11,242 1,466 839 4,216 732 1,215 8,468 1,062 9,182 1,337 748 4,621 615 1,010 8,331 3,872 842 1,063 1,034 518 7,329 8,508 1,938 489 598 493 257 3,775 3,971 1,934 353 465 541 261 3,554 4,537 1,064 3,631 783 984 950 7,412 7,685 631 1,809 453 551 450 3,894 3,577 433 1,822 330 433 500 3,518 4,108 1,515 997 3,386 723 901 7,522 7,382 842 589 1,679 417 502 4,029 3,421 673 408 1,707 306 399 3,493 3,961 90 Table C.5: Tanzania Zanzibar: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2025 - 2027 Age Total 0 1 2 3 4 0-4 5 6 7 8 9 5-9 10 11 12 13 14 10 - 14 15 16 17 18 19 15 - 19 20 21 22 23 24 20 - 24 25 26 27 28 29 25 - 29 30 31 32 33 34 30 - 34 35 36 37 38 39 35 - 39 Both Sexes 2025 Male Female Both Sexes 2026 Male Female Both Sexes 2027 Male Female 1,896,546 54,181 925,855 27,388 970,691 26,793 1,940,839 54,186 947,824 27,390 993,015 26,796 1,984,654 53,784 969,520 27,186 1,015,134 26,598 53,606 53,246 53,474 53,738 27,058 26,863 26,967 27,090 26,548 26,383 26,507 26,648 53,532 53,299 53,031 53,307 27,020 26,891 26,744 26,873 26,512 26,408 26,287 26,434 53,562 53,239 53,090 52,869 27,036 26,861 26,773 26,652 26,526 26,378 26,317 26,217 268,245 53,409 52,931 52,493 135,366 26,913 26,663 26,437 132,879 26,496 26,268 26,056 267,355 53,603 53,295 52,830 134,918 27,013 26,847 26,604 132,437 26,590 26,448 26,226 266,544 53,176 53,493 53,202 134,508 26,797 26,948 26,791 132,036 26,379 26,545 26,411 52,881 53,228 264,942 52,629 26,628 26,797 133,438 26,491 26,253 26,431 131,504 26,138 52,405 52,802 264,935 53,160 26,385 26,582 133,431 26,758 26,020 26,220 131,504 26,402 52,746 52,331 264,948 52,739 26,554 26,341 133,431 26,546 26,192 25,990 131,517 26,193 51,790 50,785 39,977 34,647 26,067 25,559 20,054 17,470 25,723 25,226 19,923 17,177 52,569 51,733 50,729 39,929 26,457 26,036 25,528 20,028 26,112 25,697 25,201 19,901 53,102 52,513 51,681 50,669 26,726 26,426 26,006 25,494 26,376 26,087 25,675 25,175 229,828 39,129 41,305 41,737 115,641 19,559 20,570 20,750 114,187 19,570 20,735 20,987 248,120 34,600 39,068 41,235 124,807 17,444 19,524 20,529 123,313 17,156 19,544 20,706 260,704 39,876 34,546 39,000 131,198 19,997 17,412 19,484 129,506 19,879 17,134 19,516 38,394 37,325 197,890 37,794 34,810 30,989 35,411 25,989 19,482 18,541 98,902 18,806 17,083 15,342 17,798 12,795 18,912 18,784 98,988 18,988 17,727 15,647 17,613 13,194 41,656 38,317 194,876 37,241 37,703 34,722 30,909 35,316 20,701 19,434 97,632 18,490 18,749 17,030 15,293 17,739 20,955 18,883 97,244 18,751 18,954 17,692 15,616 17,577 41,159 41,574 196,155 38,232 37,155 37,611 34,634 30,829 20,482 20,651 98,026 19,380 18,435 18,692 16,975 15,244 20,677 20,923 98,129 18,852 18,720 18,919 17,659 15,585 164,993 38,804 32,441 29,273 81,824 19,691 16,081 14,256 83,169 19,113 16,360 15,017 175,891 25,919 38,698 32,354 87,301 12,752 19,627 16,029 88,590 13,167 19,071 16,325 178,461 35,223 25,851 38,596 88,726 17,682 12,712 19,566 89,735 17,541 13,139 19,030 28,233 27,245 155,996 25,523 14,286 12,737 77,051 12,003 13,947 14,508 78,945 13,520 29,192 28,152 154,315 27,170 14,209 14,238 76,855 12,695 14,983 13,914 77,460 14,475 32,264 29,114 161,048 28,073 15,976 14,164 80,100 14,191 16,288 14,950 80,948 13,882 32,577 23,491 34,950 16,887 15,349 10,344 15,776 7,474 17,228 13,147 19,174 9,413 25,449 32,482 23,420 34,844 11,961 15,296 10,306 15,718 13,488 17,186 13,114 19,126 27,091 25,377 32,388 23,352 12,651 11,921 15,243 10,270 14,440 13,456 17,145 13,082 133,428 27,335 19,863 18,998 27,358 17,495 111,049 60,946 12,182 8,577 8,577 12,408 7,877 49,621 72,482 15,153 11,286 10,421 14,950 9,618 61,428 143,365 16,835 27,249 19,799 18,932 27,260 110,075 65,976 7,448 12,136 8,544 8,542 12,356 49,026 77,389 9,387 15,113 11,255 10,390 14,904 61,049 136,281 34,741 16,783 27,163 19,734 18,866 117,287 64,276 15,663 7,420 12,090 8,511 8,507 52,191 72,005 19,078 9,363 15,073 11,223 10,359 65,096 91 Table C.5: Tanzania Zanzibar: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2025 - 2027 Age 40 41 42 43 44 40 - 44 45 46 47 48 49 45 - 49 50 51 52 53 54 50 - 54 55 56 57 58 59 55 - 59 60 61 62 63 64 60 - 64 65 66 67 68 69 65 - 69 70 71 72 73 74 70 - 74 75 76 77 78 79 75 - 79 80+ Both Sexes 2025 Male Female Both Sexes 2026 Male Female Both Sexes 2027 Male Female 17,147 20,310 7,629 9,107 9,518 11,203 17,428 17,078 7,842 7,595 9,586 9,483 27,160 17,362 12,304 7,808 14,856 9,554 12,896 30,811 8,811 89,975 17,767 10,731 9,802 23,241 11,237 72,778 10,867 13,529 8,354 26,037 5,281 64,068 10,789 6,707 5,061 15,945 5,595 13,519 4,166 40,016 8,571 4,956 4,515 10,782 5,196 34,020 5,023 6,094 3,735 11,763 2,596 29,211 5,294 3,244 2,468 7,894 7,301 17,292 4,645 49,959 9,196 5,775 5,287 12,459 6,041 38,758 5,844 7,435 4,619 14,274 2,685 34,857 5,495 3,463 2,593 8,051 20,223 12,838 30,670 98,237 8,771 17,679 10,676 9,748 23,104 69,978 11,167 10,789 13,425 8,284 25,809 69,474 5,234 10,683 6,640 5,002 9,063 5,567 13,450 43,517 4,145 8,523 4,926 4,487 10,709 32,790 5,159 4,982 6,040 3,698 11,643 31,522 2,570 5,235 3,207 2,436 11,160 7,271 17,220 54,720 4,626 9,156 5,750 5,261 12,395 37,188 6,008 5,807 7,385 4,586 14,166 37,952 2,664 5,448 3,433 2,566 17,008 20,137 12,782 94,449 30,527 8,729 17,589 10,619 9,690 77,154 22,956 11,086 10,707 13,316 8,214 66,279 25,577 5,182 10,578 6,569 7,560 9,020 5,540 42,232 13,378 4,122 8,473 4,896 4,456 35,325 10,629 5,115 4,938 5,983 3,663 30,328 11,521 2,540 5,175 3,168 9,448 11,117 7,242 52,217 17,149 4,607 9,116 5,723 5,234 41,829 12,327 5,971 5,769 7,333 4,551 35,951 14,056 2,642 5,403 3,401 6,050 44,552 6,120 9,608 8,681 15,709 3,502 43,620 6,077 3,744 3,255 7,254 2,917 21,817 2,943 4,603 2,565 7,181 1,835 19,127 3,332 2,030 1,842 3,825 3,133 22,735 3,177 5,005 6,116 8,528 1,667 24,493 2,745 1,714 1,413 3,429 15,753 43,312 5,972 6,031 9,455 8,537 15,409 45,404 3,429 5,935 3,648 3,164 7,786 21,234 2,874 2,894 4,519 2,514 7,025 19,826 1,792 3,246 1,973 1,785 7,967 22,078 3,098 3,137 4,936 6,023 8,384 25,578 1,637 2,689 1,675 1,379 4,945 52,851 15,547 5,885 5,934 9,291 8,382 45,039 15,090 3,348 5,782 3,545 2,404 24,808 7,669 2,825 2,840 4,429 2,460 20,223 6,860 1,746 3,154 1,912 2,541 28,043 7,878 3,060 3,094 4,862 5,922 24,816 8,230 1,602 2,628 1,633 3,069 23,399 2,521 2,696 1,520 8,432 1,278 16,447 1,703 12,732 1,491 1,406 801 4,007 694 8,399 1,366 10,667 1,030 1,290 719 4,425 584 8,048 7,028 23,204 2,962 2,425 2,587 1,450 8,013 17,437 3,695 12,491 1,639 1,430 1,344 762 3,794 8,969 3,333 10,713 1,323 995 1,243 688 4,219 8,468 3,066 30,831 6,793 2,851 2,325 2,470 1,379 15,818 1,725 15,397 3,560 1,573 1,367 1,279 721 8,500 1,341 15,434 3,233 1,278 958 1,191 658 7,318 2,100 1,423 929 3,134 664 8,250 7,086 1,142 788 547 1,546 381 4,404 3,340 958 635 382 1,588 283 3,846 3,746 1,208 1,971 1,326 860 2,877 8,242 6,619 653 1,067 731 504 1,411 4,366 3,163 555 904 595 356 1,466 3,876 3,456 7,573 1,134 1,839 1,227 788 12,561 8,244 3,569 609 991 673 460 6,302 3,949 4,004 525 848 554 328 6,259 4,295 92 Table C.6: Tanzania Zanzibar: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2028 - 2030 Age Total 0 1 2 3 4 0-4 5 6 7 8 9 5-9 10 11 12 13 14 10 - 14 15 16 17 18 19 15 - 19 20 21 22 23 24 20 - 24 25 26 27 28 29 25 - 29 30 31 32 33 34 30 - 34 35 36 37 38 39 35 - 39 Both Sexes 2028 Male Female Both Sexes 2029 Male Female Both Sexes 2030 Male Female 2,028,103 991,029 1,037,074 2,071,763 1,012,626 1,059,137 2,115,386 1,034,184 1,081,202 53,678 53,189 27,132 26,846 26,546 26,343 53,996 53,108 27,293 26,803 26,703 26,305 54,094 53,445 27,341 26,971 26,753 26,474 53,281 53,036 52,937 266,121 26,881 26,746 26,685 134,290 26,400 26,290 26,252 131,831 52,920 53,087 52,891 266,002 26,696 26,770 26,661 134,223 26,224 26,317 26,230 131,779 52,851 52,737 52,945 266,072 26,659 26,590 26,687 134,248 26,192 26,147 26,258 131,824 52,744 53,072 53,399 53,120 26,579 26,735 26,891 26,742 26,165 26,337 26,508 26,378 52,817 52,643 52,983 53,320 26,616 26,519 26,682 26,844 26,201 26,124 26,301 26,476 52,773 52,720 52,560 52,910 26,591 26,556 26,467 26,636 26,182 26,164 26,093 26,274 52,673 265,008 52,267 52,680 26,512 133,459 26,305 26,513 26,161 131,549 25,962 26,167 53,046 264,809 52,612 52,214 26,699 133,360 26,475 26,275 26,347 131,449 26,137 25,939 53,252 264,215 52,986 52,558 26,803 133,053 26,663 26,445 26,449 131,162 26,323 26,113 53,045 52,458 51,620 262,070 50,604 39,815 34,490 38,931 41,077 204,917 41,484 38,144 37,064 37,516 34,546 188,754 30,751 35,133 25,783 38,492 26,695 26,396 25,972 131,881 25,456 19,961 17,377 19,441 20,432 102,667 20,594 19,323 18,378 18,632 16,921 93,848 15,196 17,628 12,671 19,502 26,350 26,062 25,648 130,189 25,148 19,854 17,113 19,490 20,645 102,250 20,890 18,821 18,686 18,884 17,625 94,906 15,555 17,505 13,112 18,990 52,627 52,993 52,402 262,848 51,556 50,529 39,753 34,428 38,856 215,122 40,990 41,389 38,051 36,974 37,423 194,827 34,461 30,670 35,043 25,716 26,484 26,666 26,364 132,264 25,933 25,412 19,923 17,339 19,394 108,001 20,377 20,535 19,264 18,321 18,575 97,072 16,869 15,148 17,573 12,632 26,143 26,327 26,038 130,584 25,623 25,117 19,830 17,089 19,462 107,121 20,613 20,854 18,787 18,653 18,848 97,755 17,592 15,522 17,470 13,084 52,163 52,575 52,936 263,218 52,336 51,481 50,450 39,682 34,361 228,310 38,773 40,899 41,294 37,960 36,885 195,811 37,329 34,376 30,592 34,954 26,246 26,454 26,633 132,441 26,325 25,889 25,363 19,879 17,297 114,753 19,341 20,319 20,474 19,206 18,266 97,606 18,517 16,819 15,101 17,519 25,917 26,121 26,303 130,777 26,011 25,592 25,087 19,803 17,064 113,557 19,432 20,580 20,820 18,754 18,619 98,205 18,812 17,557 15,491 17,435 32,177 162,336 29,031 27,994 27,015 25,304 32,294 141,638 23,282 34,634 16,731 27,075 15,925 80,922 14,116 14,143 12,608 11,880 15,190 67,937 10,233 15,604 7,393 12,044 16,252 81,414 14,915 13,851 14,407 13,424 17,104 73,701 13,049 19,030 9,338 15,031 38,388 164,278 32,089 28,951 27,917 26,938 25,231 141,126 32,198 23,215 34,529 16,678 19,441 81,663 15,873 14,070 14,097 12,564 11,839 68,443 15,135 10,197 15,548 7,365 18,947 82,615 16,216 14,881 13,820 14,374 13,392 72,683 17,063 13,018 18,981 9,313 25,649 162,900 38,287 32,005 28,876 27,837 26,864 153,869 25,158 32,102 23,146 34,422 12,594 80,550 19,379 15,823 14,025 14,049 12,523 75,799 11,798 15,081 10,160 15,490 13,055 82,350 18,908 16,182 14,851 13,788 14,341 78,070 13,360 17,021 12,986 18,932 19,668 121,390 8,478 53,752 11,190 67,638 26,984 133,604 11,996 60,241 14,988 73,363 16,624 131,452 7,336 59,865 9,288 71,587 93 Table C.6: Tanzania Zanzibar: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2028 - 2030 Age 40 41 42 43 44 40 - 44 45 46 47 48 49 45 - 49 50 51 52 53 54 50 - 54 55 56 57 58 59 55 - 59 60 61 62 63 64 60 - 64 65 66 67 68 69 65 - 69 70 71 72 73 74 70 - 74 75 76 77 78 79 75 - 79 80+ Both Sexes 2028 Male Female Both Sexes 2029 Male Female Both Sexes 2030 Male Female 18,799 27,055 8,472 12,251 10,327 14,804 19,599 18,727 8,443 8,435 11,156 10,292 26,889 19,527 11,947 8,407 14,942 11,120 17,291 16,936 20,046 100,127 12,725 30,384 8,688 17,496 10,558 79,851 9,629 22,794 11,003 10,620 13,204 67,250 8,138 25,342 5,132 10,463 7,772 7,523 8,973 44,991 5,512 13,306 4,100 8,421 4,864 36,203 4,423 10,542 5,071 4,891 5,924 30,851 3,623 11,397 2,511 5,112 9,519 9,413 11,073 55,136 7,213 17,078 4,588 9,075 5,694 43,648 5,206 12,252 5,932 5,729 7,280 36,399 4,515 13,945 2,621 5,351 26,946 17,217 16,860 99,349 19,957 12,665 30,234 8,640 17,396 88,892 10,494 9,564 22,625 10,916 10,532 64,131 13,087 8,065 25,092 5,077 12,194 7,734 7,485 44,291 8,927 5,482 13,230 4,075 8,366 40,080 4,829 4,389 10,451 5,024 4,844 29,537 5,863 3,585 11,266 2,481 14,752 9,483 9,375 55,058 11,030 7,183 17,004 4,565 9,030 48,812 5,665 5,175 12,174 5,892 5,688 34,594 7,224 4,480 13,826 2,596 18,655 26,834 17,142 109,047 16,787 19,866 12,604 30,081 8,592 87,930 17,289 10,419 9,493 22,445 10,824 70,470 10,439 12,970 7,986 24,832 8,398 12,137 7,695 48,584 7,448 8,881 5,451 13,152 4,048 38,980 8,307 4,789 4,351 10,353 4,974 32,774 4,795 5,801 3,544 11,130 10,257 14,697 9,447 60,463 9,339 10,985 7,153 16,929 4,544 48,950 8,982 5,630 5,142 12,092 5,850 37,696 5,644 7,169 4,442 13,702 6,490 55,565 4,881 15,326 5,794 5,833 9,117 40,951 8,216 14,748 3,264 5,621 3,125 25,768 2,368 7,545 2,776 2,786 4,335 19,810 2,402 6,683 1,697 3,058 3,365 29,797 2,513 7,781 3,018 3,047 4,782 21,141 5,814 8,065 1,567 2,563 10,341 61,662 6,408 4,811 15,086 5,693 5,724 37,722 8,931 8,040 14,386 3,175 5,042 28,237 3,079 2,329 7,409 2,720 2,726 18,263 4,234 2,341 6,498 1,645 5,299 33,425 3,329 2,482 7,677 2,973 2,998 19,459 4,697 5,699 7,888 1,530 5,019 61,246 10,212 6,319 4,738 14,832 5,590 41,691 5,609 8,731 7,852 13,999 2,448 27,718 4,970 3,029 2,288 7,267 2,663 20,217 2,664 4,127 2,277 6,302 2,571 33,528 5,242 3,290 2,450 7,565 2,927 21,474 2,945 4,604 5,575 7,697 3,436 35,285 2,961 6,540 2,735 2,220 2,347 16,803 1,847 15,687 1,661 3,417 1,504 1,302 1,211 9,095 1,589 19,598 1,300 3,123 1,231 918 1,136 7,708 5,450 39,982 3,322 2,849 6,274 2,614 2,110 17,169 2,956 17,674 1,781 1,594 3,267 1,433 1,232 9,307 2,494 22,308 1,541 1,255 3,007 1,181 878 7,862 3,081 39,272 5,270 3,201 2,737 5,997 2,482 19,687 1,592 16,962 2,850 1,710 1,527 3,112 1,356 10,555 1,489 22,310 2,420 1,491 1,210 2,885 1,126 9,132 1,303 7,120 1,060 1,703 1,128 12,314 7,723 679 3,339 567 914 617 6,116 3,752 624 3,781 493 789 511 6,198 3,971 2,220 1,226 6,654 981 1,565 12,646 7,594 1,141 636 3,104 523 835 6,239 3,731 1,079 590 3,550 458 730 6,407 3,863 1,995 2,088 1,145 6,176 904 12,308 7,888 1,162 1,068 591 2,865 480 6,166 3,913 833 1,020 554 3,311 424 6,142 3,975 94 Table C.7: Tanzania Zanzibar: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2031 - 2033 Age Total 0 1 2 3 4 0-4 5 6 7 8 9 5-9 10 11 12 13 14 10 - 14 15 16 17 18 19 15 - 19 20 21 22 23 24 20 - 24 25 26 27 28 29 25 - 29 30 31 32 33 34 30 - 34 35 36 37 38 39 35 - 39 Both Sexes 2031 Male 2032 Male Female Both Sexes 2033 Male Female 2,158,953 54,231 1,055,712 27,411 1,103,241 26,820 2,202,364 54,265 1,077,164 27,428 1,125,200 26,837 2,245,604 54,507 1,098,544 27,552 1,147,060 26,955 53,562 53,197 52,674 52,600 27,030 26,831 26,556 26,509 26,532 26,366 26,118 26,091 53,714 53,322 53,026 52,544 27,109 26,895 26,732 26,479 26,605 26,427 26,294 26,065 53,764 53,483 53,155 52,897 27,135 26,978 26,798 26,656 26,629 26,505 26,357 26,241 266,264 52,835 52,682 52,639 134,337 26,621 26,535 26,506 131,927 26,214 26,147 26,133 266,871 52,495 52,745 52,603 134,643 26,447 26,566 26,487 132,228 26,048 26,179 26,116 267,806 52,441 52,407 52,668 135,119 26,417 26,393 26,519 132,687 26,024 26,014 26,149 52,487 52,843 263,486 53,195 26,423 26,596 132,681 26,769 26,064 26,247 130,805 26,426 52,568 52,423 262,834 52,785 26,463 26,384 132,347 26,562 26,105 26,039 130,487 26,223 52,535 52,506 262,557 52,370 26,445 26,425 132,199 26,353 26,090 26,081 130,358 26,017 52,934 52,511 52,114 52,521 26,633 26,419 26,218 26,423 26,301 26,092 25,896 26,098 53,145 52,888 52,461 52,061 26,741 26,607 26,390 26,188 26,404 26,281 26,071 25,873 52,737 53,098 52,839 52,409 26,534 26,713 26,579 26,360 26,203 26,385 26,260 26,049 263,275 52,872 52,264 51,402 132,462 26,595 26,281 25,840 130,813 26,277 25,983 25,562 263,340 52,459 52,799 52,184 132,488 26,386 26,551 26,231 130,852 26,073 26,248 25,953 263,453 52,001 52,391 52,721 132,539 26,152 26,344 26,502 130,914 25,849 26,047 26,219 50,364 39,608 246,510 34,292 38,690 40,805 41,196 37,868 25,309 19,833 123,858 17,252 19,288 20,260 20,412 19,148 25,055 19,775 122,652 17,040 19,402 20,545 20,784 18,720 51,316 50,273 259,031 39,530 34,219 38,603 40,711 41,099 25,787 25,251 130,206 19,782 17,205 19,233 20,200 20,352 25,529 25,022 128,825 19,748 17,014 19,370 20,511 20,747 52,099 51,225 260,437 50,174 39,447 34,144 38,516 40,618 26,178 25,728 130,904 25,188 19,730 17,157 19,178 20,141 25,921 25,497 129,533 24,986 19,717 16,987 19,338 20,477 192,851 36,794 37,239 34,291 96,360 18,211 18,462 16,768 96,491 18,583 18,777 17,523 194,162 37,778 36,706 37,149 96,772 19,092 18,157 18,409 97,390 18,686 18,549 18,740 202,899 41,005 37,689 36,619 101,394 20,294 19,037 18,105 101,505 20,711 18,652 18,514 30,517 34,864 173,705 25,584 15,057 17,466 85,964 12,555 15,460 17,398 87,741 13,029 34,206 30,442 176,281 34,774 16,719 15,012 87,389 17,411 17,487 15,430 88,892 17,363 37,061 34,123 186,497 30,366 18,356 16,669 92,461 14,967 18,705 17,454 94,036 15,399 38,188 31,918 28,795 27,759 19,319 15,772 13,978 14,002 18,869 16,146 14,817 13,757 25,518 38,085 31,833 28,717 12,515 19,256 15,721 13,932 13,003 18,829 16,112 14,785 34,687 25,452 37,983 31,748 17,359 12,476 19,195 15,670 17,328 12,976 18,788 16,078 152,244 26,788 25,084 32,008 23,076 34,311 141,267 75,626 12,480 11,756 15,028 10,124 15,431 64,819 76,618 14,308 13,328 16,980 12,952 18,880 76,448 158,927 27,682 26,713 25,013 31,914 23,004 134,326 78,835 13,956 12,437 11,715 14,975 10,086 63,169 80,092 13,726 14,276 13,298 16,939 12,918 71,157 160,236 28,638 27,605 26,637 24,940 31,813 139,633 79,667 13,885 13,909 12,395 11,675 14,919 66,783 80,569 14,753 13,696 14,242 13,265 16,894 72,850 Female Both Sexes 95 Table C.7: Tanzania Zanzibar: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2031 - 2033 Age 40 41 42 43 44 40 - 44 45 46 47 48 49 45 - 49 50 51 52 53 54 50 - 54 55 56 57 58 59 55 - 59 60 61 62 63 64 60 - 64 65 66 67 68 69 65 - 69 70 71 72 73 74 70 - 74 75 76 77 78 79 75 - 79 80+ Both Sexes 2031 Male 2032 Male Female Both Sexes 2033 Male Female 16,568 26,792 7,308 11,897 9,260 14,895 34,197 16,510 15,370 7,278 18,827 9,232 22,927 34,077 10,046 15,308 12,881 18,769 19,453 18,578 26,722 108,113 17,069 16,712 19,773 12,541 29,917 96,012 8,539 17,172 10,345 9,418 22,263 67,737 10,732 10,346 12,846 7,905 8,370 8,360 12,079 48,014 7,658 7,410 8,833 5,420 13,068 42,389 4,019 8,241 4,749 4,310 10,255 31,574 4,924 4,744 5,736 3,502 11,083 10,218 14,643 60,099 9,411 9,302 10,940 7,121 16,849 53,623 4,520 8,931 5,596 5,108 12,008 36,163 5,808 5,602 7,110 4,403 26,690 19,375 18,501 115,273 26,607 16,994 16,633 19,674 12,474 92,382 29,738 8,481 17,048 10,264 9,342 74,873 22,073 10,637 10,248 12,716 11,846 8,332 8,320 51,146 12,020 7,619 7,369 8,781 5,385 41,174 12,976 3,987 8,172 4,706 4,269 34,110 10,153 4,874 4,692 5,668 14,844 11,043 10,181 64,127 14,587 9,375 9,264 10,893 7,089 51,208 16,762 4,494 8,876 5,558 5,073 40,763 11,920 5,763 5,556 7,048 16,445 26,587 19,296 119,332 18,424 26,491 16,916 16,554 19,568 97,953 12,401 29,547 8,421 16,916 10,183 77,468 9,264 21,879 10,536 10,146 7,245 11,793 8,292 52,684 8,280 11,960 7,579 7,327 8,726 43,872 5,348 12,877 3,954 8,098 4,662 34,939 4,227 10,049 4,820 4,637 9,200 14,794 11,004 66,648 10,144 14,531 9,337 9,227 10,842 54,081 7,053 16,670 4,467 8,818 5,521 42,529 5,037 11,830 5,716 5,509 24,554 66,383 4,957 10,070 6,224 4,657 14,560 40,468 5,477 5,486 8,519 7,651 10,984 29,890 2,413 4,890 2,977 2,243 7,115 19,638 2,602 2,597 4,014 2,209 13,570 36,493 2,544 5,180 3,247 2,414 7,445 20,830 2,875 2,889 4,505 5,442 7,819 63,493 24,255 4,888 9,918 6,121 4,573 49,755 14,270 5,357 5,353 8,294 3,457 28,844 10,827 2,375 4,805 2,920 2,196 23,123 6,953 2,538 2,526 3,895 4,362 34,649 13,428 2,513 5,113 3,201 2,377 26,632 7,317 2,819 2,827 4,399 12,577 64,402 7,724 23,932 4,816 9,757 6,012 52,241 4,483 13,962 5,232 5,214 5,595 29,328 3,408 10,658 2,334 4,715 2,861 23,976 2,147 6,783 2,470 2,452 6,982 35,074 4,316 13,274 2,482 5,042 3,151 28,265 2,336 7,179 2,762 2,762 13,589 40,722 2,978 5,077 3,072 2,616 5,704 19,447 6,095 17,517 1,533 2,737 1,636 1,454 2,948 10,308 7,494 23,205 1,445 2,340 1,436 1,162 2,756 9,139 7,435 40,709 13,152 2,872 4,877 2,938 2,490 26,329 2,136 18,048 5,877 1,474 2,620 1,559 1,379 12,909 5,299 22,661 7,275 1,398 2,257 1,379 1,111 13,420 8,054 36,945 7,210 12,697 2,760 4,666 2,798 30,131 3,769 17,621 2,061 5,652 1,412 2,498 1,479 13,102 4,285 19,324 5,149 7,045 1,348 2,168 1,319 17,029 2,351 1,877 1,952 1,063 5,690 12,933 7,536 1,279 1,089 993 546 2,624 6,531 3,744 1,072 788 959 517 3,066 6,402 3,792 5,403 2,213 1,754 1,812 979 12,161 11,617 2,780 1,199 1,013 917 499 6,408 5,553 2,623 1,014 741 895 480 5,753 6,064 2,357 5,091 2,070 1,627 1,672 12,817 10,797 1,300 2,607 1,116 935 842 6,800 5,156 1,057 2,484 954 692 830 6,017 5,641 Female Both Sexes 96 Table C.8: Tanzania Zanzibar: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2034 - 2035 Age Total 0 1 2 3 4 0-4 5 6 7 8 9 5-9 10 11 12 13 14 10-14 15 16 17 18 19 15 - 19 20 21 22 23 24 20 - 24 25 26 27 28 29 25 - 29 30 31 32 33 34 30 - 34 35 36 37 38 39 35 - 39 2034 2035 Both Sexes Male Female Both Sexes Male Female 2,289,311 55,116 1,120,147 27,861 1,169,164 27,255 2,333,235 55,510 1,141,861 28,059 1,191,374 27,451 54,023 53,540 53,321 53,030 27,268 27,009 26,884 26,724 26,755 26,531 26,437 26,306 54,640 53,806 53,384 53,201 27,581 27,146 26,919 26,814 27,059 26,660 26,465 26,387 269,030 52,797 52,357 52,333 135,746 26,596 26,367 26,347 133,284 26,201 25,990 25,986 270,541 52,932 52,714 52,285 136,519 26,665 26,545 26,322 134,022 26,267 26,169 25,963 52,603 52,473 262,563 52,453 26,479 26,408 132,197 26,393 26,124 26,065 130,366 26,060 52,270 52,544 262,745 52,422 26,308 26,442 132,282 26,377 25,962 26,102 130,463 26,045 52,322 52,692 53,051 52,787 26,324 26,508 26,688 26,549 25,998 26,184 26,363 26,238 52,409 52,279 52,647 52,999 26,368 26,300 26,483 26,656 26,041 25,979 26,164 26,343 263,305 52,352 51,933 52,314 132,462 26,325 26,109 26,296 130,843 26,027 25,824 26,018 262,756 52,731 52,287 51,859 132,184 26,516 26,285 26,064 130,572 26,215 26,002 25,795 52,635 52,007 261,241 51,126 50,071 39,362 34,066 38,429 26,448 26,120 131,298 25,664 25,121 19,674 17,107 19,123 26,187 25,887 129,943 25,462 24,950 19,688 16,959 19,306 52,231 52,546 261,654 51,911 51,022 49,963 39,276 33,993 26,244 26,391 131,500 26,057 25,597 25,051 19,619 17,060 25,987 26,155 130,154 25,854 25,425 24,912 19,657 16,933 213,054 40,525 40,909 37,602 106,689 20,083 20,235 18,984 106,365 20,442 20,674 18,618 226,165 38,344 40,435 40,816 113,384 19,070 20,029 20,179 112,781 19,274 20,406 20,637 36,534 36,970 192,540 34,037 18,054 18,301 95,657 16,618 18,480 18,669 96,883 17,419 37,513 36,447 193,555 36,883 18,929 18,002 96,209 18,249 18,584 18,445 97,346 18,634 30,291 34,599 25,387 37,885 14,922 17,306 12,437 19,135 15,369 17,293 12,950 18,750 33,957 30,215 34,509 25,322 16,569 14,876 17,251 12,398 17,388 15,339 17,258 12,924 162,199 31,662 28,562 27,526 26,561 24,865 139,176 80,418 15,619 13,841 13,862 12,352 11,632 67,306 81,781 16,043 14,721 13,664 14,209 13,233 71,870 160,886 37,786 31,579 28,483 27,448 26,482 151,778 79,343 19,075 15,570 13,795 13,815 12,308 74,563 81,543 18,711 16,009 14,688 13,633 14,174 77,215 97 Table C.8: Tanzania Zanzibar: Population Projection by Age in Single Year, Five Year Age Groups and Sex: 2034 - 2035 Age 40 41 42 43 44 40 - 44 45 46 47 48 49 45 - 49 50 51 52 53 54 50 - 54 55 56 57 58 59 55 - 59 60 61 62 63 64 60 - 64 65 66 67 68 69 65 - 69 70 71 72 73 74 70 - 74 75 76 77 78 79 75 - 79 80+ 2034 2035 Both Sexes Male Female Both Sexes Male Female 31,709 22,849 14,862 10,006 16,847 12,843 24,785 31,603 11,589 14,805 13,196 16,798 33,951 16,385 26,480 131,374 19,215 18,344 26,373 16,834 16,466 97,232 19,454 12,323 29,342 8,358 16,783 86,260 10,098 9,186 21,678 10,435 15,244 7,214 11,739 59,065 8,252 8,238 11,897 7,536 7,282 43,205 8,666 5,307 12,770 3,919 8,024 38,686 4,617 4,185 9,940 4,765 18,707 9,171 14,741 72,309 10,963 10,106 14,476 9,298 9,184 54,027 10,788 7,016 16,572 4,439 8,759 47,574 5,481 5,001 11,738 5,670 22,768 33,822 16,319 129,297 26,372 19,135 18,264 26,248 16,748 106,767 16,372 19,333 12,237 29,126 8,293 85,361 16,648 10,013 9,101 21,466 9,966 15,177 7,181 58,718 11,683 8,213 8,196 11,830 7,491 47,413 7,233 8,601 5,264 12,659 3,883 37,640 7,947 4,570 4,139 9,825 12,802 18,645 9,138 70,579 14,689 10,922 10,068 14,418 9,257 59,354 9,139 10,732 6,973 16,467 4,410 47,721 8,701 5,443 4,962 11,641 10,035 61,432 12,429 7,624 23,584 4,738 9,585 57,960 5,895 4,388 13,630 5,095 4,578 28,085 5,517 3,356 10,476 2,290 4,619 26,258 2,797 2,095 6,600 2,397 5,457 33,347 6,912 4,268 13,108 2,448 4,966 31,702 3,098 2,293 7,030 2,698 10,320 67,548 9,918 12,266 7,514 23,215 4,655 57,568 9,399 5,770 4,286 13,280 4,704 31,185 4,514 5,432 3,298 10,283 2,244 25,771 4,516 2,728 2,040 6,409 5,616 36,363 5,404 6,834 4,216 12,932 2,411 31,797 4,883 3,042 2,246 6,871 5,064 34,072 7,800 6,969 12,212 2,642 4,445 34,068 2,373 16,262 3,637 1,982 5,413 1,345 2,370 14,747 2,691 17,810 4,163 4,987 6,799 1,297 2,075 19,321 4,952 37,687 4,906 7,532 6,712 11,702 2,520 33,372 2,322 18,015 2,290 3,497 1,898 5,163 1,278 14,126 2,630 19,672 2,616 4,035 4,814 6,539 1,242 19,246 2,651 2,220 4,767 1,925 1,501 13,064 10,741 1,395 1,219 2,428 1,032 858 6,932 5,134 1,256 1,001 2,339 893 643 6,132 5,607 4,216 2,501 2,080 4,437 1,776 15,010 10,545 2,237 1,309 1,136 2,248 946 7,876 5,133 1,979 1,192 944 2,189 830 7,134 5,412 98 Annex List of Contributors Contributors to the National Population Projection 2013 to 2035 Based on the 2012 Population and Housing Census are: Management Dr. Albina Chuwa Ms. Mayasa M. Mwinyi Director General, NBS Chief Government Statistician, OCGS Mr. Irenius Ruyobya Mr. Ephraim Kwesigabo Director of Statistical Operation, NBS Director of Population Census and Social Statistics, NBS Projection and Analysis Expert Dr. Thomas McDevitt Demographer and Projection Facilitator, USCB Dr. Mike Levin Prof. Miline Mbonile Dr. Albina Chuwa Ms. Mayasa M. Mwinyi Dr. Emmanuel K. Baingana IT Specialists, US Demographer and Projection Facilitator, UDSM Director General, NBS Government Statistician, OCGS UNAIDS Mr. Frederick Macha Mr. Ephraim Kwesigabo Mr. Irenius Ruyobya Ms. Asia Hassan Mussa Mr. Abdul-Majid Jecha Ms. Sabina R. Daima Mr. Seif Ahmad Kuchengo Mr. Ariv Severe Bakar Kombo Omar Ms. Neema Ngure UNAIDS Director of Population Census and Social Statistics, NBS Director of Statistical Operation, NBS Principal Statistician, OCGS Principal Statistician, OCGS Principal Statistician, OCGS Senior Statistician, NBS Senior System Analyst, NBS Senior Programmer, OCGS Statistician, NBS Mr. Mdoka Omar Maulid Ms. Kokulamuka Aulea Mr. Frank Lyimo Statistician, NBS Intern, NBS Intern, NBS Editorial Team Dr. Albina Chuwa Mr. Ephraim Kwesigabo Mr. Irenius Ruyobya Chairperson, NBS Editorial Board Director of Population Census and Social Statistics Director of Statistical Operation Mr. Nathanael Mbalilaki Member of Editorial Board Ms. Aldegunda Komba Deputy Chairperson 99 Ms. Radegunda Maro Mr. Sylvester M. Ngallaba Mr. Vincent Mugaya Dr. C. Kasala Mr. Seif A. Kuchengo Member of Editorial Board Member of Editorial Board Member of Editorial Board Member of Editorial Board Senior Statistician/Subject Matter Mr. Mdoka Omary Maulid Ms. Hadija I. Abdul Ms. Veronica C. Mwangoka Statistician/Subject Matter Office Secretary Secretary, NBS Editorial Board 100 References: Economic Commission for Africa/Regional Institute for Population Studies, 1985. Report of the Regional Training Workshop on Demographic Estimates and Projections in Africa, Accra Ghana. Ed Abel (1999) RADIP Version 4. Computer Program for examining the Socioeconomic Impacts of Population Growth. Spectrum System of Policy Models. Futures Group International, Washington USA. Henry S. Shryock, Jacob S. Siegel and Associates, 1976. The Methods and Materials of Demography, London, UK Jacob S. Siegel and David A. Swanson, 2004. 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