metadata: authors: 0: author: Bulatao, Rodolfo A.
1: author: Bos, Eduard
2: author: Stephens, Patien
count: Africa
docna: 0: docna: Africa region population projections :
            1989-90 edition
docty: Policy Research Working Paper
subtopic: Public Sector Management and Reform,Population & Development,Demographics,Reproductive Health,Early Child and Children's Health,Law and Justice Institutions
teratopic: Health, Nutrition and Population
abstracts: cdata!: The majority of populations in the Sub
            Saharan Africa region are growing rapidly. In some
            countries, where the average woman continues to have seven
            or more births, growth is as rapid as 4 percent a year. The
            population of the region as a whole is likely to double in
            slightly more than two decades, and after that, the region
            will be contributing more to annual world population growth
            than the far larger Asia region. The projections in this
            paper cover almost two centuries, from 1985 to 2150. The
            length of the projection period was chosen to allow
            populations to approach stability, which for several takes
            essentially the entire period. The paper begins with an
            introduction which explains what projection results are
            provided in the detailed tables, describes the projection
            methodology, and summarizes and interprets the main results.
repnme: repnme: Africa region population projections :
            1989-90 edition
display_title: Africa region population projections
            : 1989-90 edition
listing_relative_url: /research/1989/11/700420/africa-region-population-projections-1989-90-edition
topicv3: Human Resources m1326304 1211,Infant and Child Mortality m1326544 1446,Life Expectancy m1504363 2666,Mortality m1504365 3661,Population Projections m1504366 3662
publishtoextweb_dt: 2010-07-01T00:00:00Z
historic_topic: Health, Nutrition and Population
origu: Policy Plan & Prog Review Dept
no_of_pages: 250
model_extractions: **[Policy, Planning, and Research Ppulation, Health, and Nutrition**

The majority of populations in the Suh-Saharan Africa region are growing rapidly. In some countries, where the average woman continues to have seven or more births, growth is as rapid as 4 percent a year. The population of the rcgion as a whole is likely to double in siightly more than two decades, and slightly more than two decades after that, the region will be contributing more to annual world population growth than the far larger Asia region.

As a consequence of high fertility, populations are young and dependency ratios are very high, up to three times world minimums. Linked with high fertility are high levels of mortality: in some countries, life expectancy at birth is barely 40.

The region will require a long transition, perhaps centuries, before population becomes stationary. At that point, the region could have six times its present population.

This paper is a product of the Population, Health, and Nutrition Division, Population and Human Resources Department. Copies are available free from the World Bank, 1818 H Street NW, Washington DC 20433. Please contact Sonia Ainsworth, room S6-065, extension 31091 (256 pages with tables).

The PPR Working Paper Series disseminates the findings of work under way in the Bank's **Policy,** Planning, and Research Complex. An objective of the series is to get these findings out quickly, even if presentations are less than fully polished. The findings, interpretations, and conclusions in these papers do not necessarily represent official policy of the Banl;.

Produced at the PPR Dissemination Center
# CONTENTS

|Preface ......................................<br>v|
|---|
|Acknowledgements ................................<br>vii|
|Introduction .....................................<br>ix|
|Projection Results ............<br>....................<br>ix|
|Data and Methods ...........<br>.....................<br>x<br>|
|Total population and age-sex composition .....<br>.........<br>x|
|<br>Mortality level and trend .........................<br>x|
|<br>Fertility level and trend .........................<br>xiii|
|<br>Migration level and trend .......................<br>xviii|
|<br>Summary of Results ..............................<br>u<br>xi|
|<br>World and continents .......<br>....................<br>xxi|
|Geographic regions and income groups .....<br>.........<br>xx|
|<br>WorldBank regions .........<br>..................<br>**xxi**|
|<br>Some country results ........<br>.................<br>xvi|
|<br>References ...................................<br>ix|
|Appendix: Sources of Population Data .....<br>............<br>xl|
|<br>Tables .. ......................................<br>Iii|
|Detailed Population Projections ......................<br>1|
|World, Geographic Regions, and Income Groups ....<br>.... 1|
|World ..<br>......................................<br>2|
|Less developed countries<br>.4|
|<br>M dld ti<br>6|
|ore eveope counres<br>.|
|Geographic Regions|
|Africa<br>.8|
|East Africa .10|
|West Africa .12|
|North Africa .14|
|America .16<br>|
|Latin America and the Caribbean .18|
|Northern America .20<br>|
|Asia .22|
|<br>East and Southeast Asia .24|
|South Asia .26|
|Southwest Asia .28|
|<br>Europe and U.S.S.R .30|
|<br>Oceania .32|
|Income Groups|
|<br>Low-income economies .........................<br>34|
|Lower-middle-income economies ...................<br>36|
|Upper-middle-income economics .<br>.<br>38|
|High-income economics .........................<br>40|
|<br>Nonreporting nonmember eccnomies .............<br>42|
Africa Region (Sub-Saharan) .... 45

|Sub-Saharan Africa ............<br>46|
|---|
|Borrowers only ...............<br>48|
|Occidental and Central Africa|
|Department (AF1) .......<br>50|
|Eastern Africa Department|
|(AF252<br>South-Central and Indian<br>|
|Ocean Department (AF3) .. 54<br>|
|Western Africa Department|
|(AF4) .56<br>|
|Sahelian Department (AF5) .. . _58_|
|Southern Africa Department<br>|
|(AF6) .60|

|Occidental and Central Afric|a|
|---|---|
|Department (AFI)<br>||
|Benin ..................<br>|64<br>|
|Cameroon|66|
|Central African Rep||
|Congo,People's Rep. of|the ...<br>70|
|Cote d'lvoire ......|.......<br>72|
|Equatorial Guinea ........<br>|..<br>74|
|Gabon .76<br>||
|Guinea ..........|.......<br>78|
|Togo .80||

|Eastern Africa|Depa|rtment|(AF2)|
|---|---|---|---|
|Ethiopia ..|...||84|
|Kenya .....|||86|
|Mauritius|... .|........|...<br>88|
|Somalia ...|..||90|
|Sudan.......|..Non|borrow|ers|
|Uganda .4||||

|South-Central and Indian Ocean|
|---|
|Department (AF3)|
|<br>Burundi............<br>.98|
|Comoro; ....<br>.<br>100|
|Djibouti ....<br>102|

|Madagascar ........|.....<br>104|
|---|---|
|<br>Rwanda ...........|<br>..<br>106|
|Seychelles.|108|
|<br>Zaire .110||

|Western Africa De<br>Ghanea.sa.......|partment (AF4)<br>.....<br>114|
|---|---|
|Guin-Bissau|<br>116|
|....<br>Liberia ...........|......<br><br>.....<br>118|
|Nigria.............|..<br>120|
|<br>SaO Tome and|<br>Principe .<br>122|
|<br>Sierra Leone .1|<br>24|

|Sahelian Department (AF5)<br>Burkina Faso ........|128|
|---|---|
|Cape Verde ......<br>..|130|
|<br>Chad ........|132|
|Gambia The ......<br>..|124|
|,<br> <br>Mali .136||
|Mauritania ...<br>...|138|
|N r..6..................|140|
|Senegal.142||

|Southern Afric|a||Departm|ent|(A|F6)||
|---|---|---|---|---|---|---|---|
|<br>Botswana .|<br>1|<br>4|<br>6|||||
|Lesotho ..|.|||...|.||148|
|Malawi.1|O|||||||
|Mozambiq|u|e|.152|||||
|Swaziland|..|..|.Swaz15|4||||
|Tanzania|..|||..|.||156|
|Zambia ...|..||||||158|
|<br>Zimbabwe|<br>.|..|...||||160|
|Angola .....|..|..|...||||164|
|<br>Namibia ...|<br>..|<br>..|<br>.....||||166|
|Reunion ..|..|.|......|||.|168|
|South Afri|c|a|............||||170|
|<br>Other We|<br>st|<br>|<br>Africa .....|....|||172|
# TABLES, FIGURES, AND EXHIBITS

|Table 1|Assumed Annual Increments to Life Expectancy (in years) ................|xii|
|---|---|---|
|Table 2|Assumed Annual Decrements to Infant Mortality Rate (per thousand) ......|<br>xiii|
|Table 3<br>|Assumed Net International Migration by Sex, 1985-90 (thousands) ....<br>.<br>|....<br>xix|
|Table 4<br>Table 5|Total Population, Annual Increase, and Growth Rates for the World<br>and Less Developed and More Developed Countries, 1985-2025 .xxi<br>Total Population, Annual Increase, and Growth Rates for Continents,<br>1985-2025 .xxii||
|Table 6<br>Table 7|Long-Run and Stationary Population, Momentum, Doubling Year, and<br>Year When Net Reproduction Rate Reaches 1 for the World, Less<br>Developed and More Developed Countries, and Continents .xxv<br>Population Age 0-14, 15-64, and 65 and Over for the World, Less<br>Developed and More Developed Countries, and Continents, 1985, 2000,<br>d 2025 (illi)|iii|
|Table 8|an mons ...............................<br>Fertility and Mortality Rates for the World and Less Developed and<br>More Developed Countries, 1985-2030 ...........................|xxv<br>;xxix|
|Table 9|Population and Percentage Distribution by Geographic Region and by<br>Income Group, 1985-2100 ..............................<br>.......|<br>Iii|
|Table 10<br>Table 11|Annual Population Increase and Growth Rate by CGeographic Region<br>and by Income Group, 1985-2100 .....<br>Long-Run and Stationary Population, Momentum, Doubling Year, and<br>Year When Net Reproduction Rate Reaches 1 by Geographic Region<br>|Iiii<br>|
|Table 12<br>'able 13<br>Table 14<br>Table 15|and by Income Group .....<br>Fertility and Mortality Rates by Geographic Region and by Income<br>Group, 1985-90, 2000-05, and 2020-25 ..<br>.<br>.<br>Population and Percentage Distribution by World Bank Region and<br>Country Department, 1985-2100 ................................<br>Annual Population Increase and Growth Rate by World Bank Region<br>and Country Department, 1985-2100<br>.lvii<br>Long-Run and Stationary Population, Momentum, Doubling Year, and<br>Year When Net Reproduction Rate Reaches 1 by World Bank Region<br>d Ct Dtt iii|iv<br>.<br>Iv<br>l:vi|
|Table 16|an ounry eparmen .v<br>Fertility and Mortality Rates by World Bank Region and Country<br>Deartment 1985-90 2000-05 and 2020-25 lix||
|Table 17|p, , , .<br>Population Projections for All Countries and Economies, 1985-2025<br>(thousands)|Ix|
|Table 18<br>Table 19|...................................<br>Population of Countries and Economies in the "Other" Categories ....<br>.<br>Population Agbd 0-14, 15-64, and 65 and Over for All Countries and<br>|....<br>lxv<br>|
||Economies 1985-2025 (percent)|bvi|
|Table 20|, .................................<br>&tationary Population, Momentum, and Year When Net Reproduction<br>Rate Reaches 1 for All Countries and Economies ...................|bId|
|Figure 1|Annual Increments to Female Llfe Expectancy (in years), by Initial<br>Level, Compared with U.N. and Previous World Bank Patterns ....<br>...|....<br>xiv|
|F1gure 2|<br>Annual Decrements to Infant Mortality Rate (per thousand), by Initial<br>Rate, Compared with U.N. and Previous World Bank Patterns ....<br>.....|...<br>xiv|
|Figure 3|<br>Assumed Medium Trend and Alternative Slow and Rapid Trends in<br>'fetal Fertility During the Fertility Transition .......................|xvi|
|Figure 4|<br>Assumed Trends in Total Fcrtility at the End of the Fertility Transition .....|<br>xvi|
|Figure 5|Percentage of Total Fertility Assigned to Different Ages, by Level of||
||Total Fertility .........-<br>-<br>-<br>-<br>.<br>.|...xvi|
|Figure 6|Projected Population (billions) in Less Developed Countries,<br>1985-2025, Cofnpared with U.N. and Previous World Bank Projections ....|x..<br>xiii|
|---|---|---|
|Figure 7|Projected Population (billions) in More Developed Countries;<br>1985-2025, Compared with U.N. and Previous World Bank Projections ....|x..<br>xiii|
|Figure 8|Percentage Distribution of World Population by Continent, 1985 ....<br>..|....<br>xv|
|Figure 9|I'ercentage Distribution of World Population by Continent, 2000 ....<br>..|....<br>xxiv|
|Figure 10|Percentage Distribution of World Population by Continent, 2025 .|xxiv|
|Figure 11|Population in Less Developed Countries by Age and Sex, 1985 ..|xxvii|
|Figure 12|Population in Less Developed Countries by Age and Sex, 2025 ..|xxvii|
|Figure 13|Population in More Developed Countries by Age and Sex, 1985 ..|xxvii|
|Figure 14|Population in More Developed Countries by Age and Sex, 2025 .<br>.|vii|
|Figure 15|Assumed Total Fertility Trend, Less Developed Countries, and U.N.<br>and Previous World Bank Trends .|xxx|
|Figure 16|Assumed Total Fertility Trend, More Developed Countries, and U.N.<br>and Previous World Bank Trends .xxx||
|Figure 17|Assumed lUfe Expectancy Trend, Less Developed Countries, and U.N.<br>and Previous World Bank Trends ..................................|xxx|
|Figure 18|Assumed Life Expectancy Trend, More Developed Countries, and U.N.<br>and Previous World Bank Trends ...<br>a||
|Figure 19|Percentage Contribution to World Population Growth from World Bank<br>Regions and Nonborrowers, 1985-2100..<br>i|xxi|
|Exhibit 1|Countries and Economies Classified by Income Group (based on GNP<br>per capita in 1987 U.S. dollars) .Xxxii||
|Exhibit 2|Countries and Economies Classified by World Bar, ReE jn and Country<br>Department.........................<br>................|v<br>. x.v|
# PREFACE

Population projections for all countries are prepared annually by the Population and Human Resources Depanment of the World Bank They are published first in summary form<sup>in</sup> the Bank's _World Development Report_ and later in greater detail as technical notes or<sup>working</sup> papers and, in alternate years, as a separate book This set of projections was prepared for _World Development Report 1989._ It appears for the second time in the Policy, Planning, and Research (PPR) Working Papers series.<sup>The</sup> tables will also be published shortly, somewhat differently organized, in book form.

As was done last year, separate working papers cover each oi the Bank's four regions: Africa (sub-Saharan); Asia (and Oceania); Europe, the Middle East, and Nlorth Africa<sup>(including</sup> the U.S.S.R.); and Latin America and the Caribbean (and Northern America). Combined,<sup>these</sup> papers cover all countries of the world.

The data format of these papers generally follows the previous edition and is consistent in the demographic indicators provided, except for minor changes, with the series of preceding reports.

We intend these papers to provide a convenient and up-to-date reference on the likely demographic future of each country, to facilitate the Bank's work of assisting them in planning<sup>more</sup> productive futures. We welcome comments on their utility, and how this might be enhanced.

Anthony R. Measham Chief Population, Health and Nutrition Division
# ACKNOWLEDGEMENTS

A number of persons provided us with important information for this work or assisted us in preparing it in other ways. The Estimates and Projections Section of the U.N. Population Division haq en continually supportive in providing us with data, even before their publication as U.N. as;estnents. Partly as a result, nonessential differences between these projections and the biannual U.N. assessments have been minimized. We are grateful to the former acting section chief, Shunichi Inoue, and to his continually accommodating staff, as well as to the head of the division, Jean-Claude Chasteland, and hope that the collaboration will continue.

World Bank country economists, population specialists, and the few demographers in the operating divisions have also provided us with recent population estimates, bringing to our attention government reports we might not otherwise see.

This exercise was carried out using a personal computer program, ProjPC-II, written by Kenneth HiUl of Johns Hopkins University.

Both the Population, Health, and Nutrition Division and the Population and Human Resources Department have been supportive of this work, despite the time required. We are grateful to the division chief, Dr. Anthony R. Measham, and the department director, Ann 0. Hamilton.

We also wish to acknowledge the interest of the Bank's International Economics Socioeconomic Data Division (IECSE), which not only utilizes our figures--for such important Bank purposes as estimating per capita GNP-and incorporates them into the databases it maintains and publications it distributes but also helps coordinate communications with country economists. Sutekha Patel of that division has been particularly helpful in the past year.

In producing the manuscript, Inga Schweiger was responsible for some typing and coordinating the paper flow.

Rodolfo A. Bulatao Eduard Bos Patience W. Stephens My T. Vu
# INTRODUCTION

Population projections are reported here for the individual countries comprising one of the four World Bank regions. Companion papers in this series report projections for each of the other regions. Each paper also reports population summaries for various geographic regions and income groups.

This introduction (included, for convenience, in each paper of the series) explains what projection results are provided in the detailed tables; describes the base data and the proiection methodology, which has been revised since the last edition of these reports; and summarizes and interprets the main results.

Caution is appropriate with projections like these. They essentially involve working out the implications of assumptions (to be discussed shortly) about particular demographic parameter levels and trends. None of the descriptions of results below should be read as indicating certitude about the future. Instead, they should be read with the universal qualifier that population will follow the indicated path if the assumptions prove to be correct.

## PROJECTION RESULTS

The projections cover almost two centuries, from 1985 to 2150. With data available as of mid-1989, separate projections were prepared for 187 countries, economies, territories, or small-country groupings, covering the entire world. The length of the projection period was chosen to allow populations to approach stability, which for several takes essentially the entire period.

Only one projection is reported per country, economy, territory, or group. Other projection exercises sometimes provide high and low options. Instead of alternative projections, we choose to give only our best estimate of the likely demographic future but to update this annually. Approaches to defining high and low options are described in the methodology section for those interested in implementing them.

The detailed projection tables following this introduction contain two pag;s for each country. The first page gives projection results for every five years between 1985 and 2030, with population figures for years ending in 0 or 5 and demographic indicators for the intervening quinquennia. This information is provided:

- Population by sex and five-year age groups, in thousands

- * Birth rate, deaih rate, and net migration rate per thousand * Rate of natural increase and population growth rate in percent * Total fertility rate (TFR) and net reproduction rate (NRR) * Expectation of life at birth (eo) and at age ten (e,0) in years * Infant mortality rate (iMR) per thousand, and probability of dying before age five (qs)

- * Dependency ratio (for exact years rather than quinquennia).

The second page adds results for every 25 years from 2000 to 2150 (as well as rates fo, the 19852000 period). This page provides fewer indices, including only the population by age and sex, the birth, death, net migration, and growth rates, total fertility, life expectancy, and infant mortality.
## X INTRODUCTION

# DATA AND METHODS

The key elements in these projections are base-year (mid-1985) total population estimates and age-sex structures, base-period (1985-90) mortality, fertility, and migration rates, and assumed trends in the rates. The -e elements will each be described. New data have been incorporated since the previous ecidion; an appendix to this Introduction indicates the sources for all base-year or base-period estimates. Revised methodology for projecting vital rates is described and some of the relatively modest effects of the revision shown.

# _Total Population and Age-Sex Composition_

Estimates of the total population in mid-1985 are obtained from the most recent reliable sources. Where possible these are recent censuses, with appropriate adjustments for underreporting, projected to mid-1985. A number of such estimates made by the United Nations (U.N.) Population Division (in _World Population Prospects 1988)_ have been adopted. (Prepublication versions of the estimates were generally used.) For countries with dated or. unreliable census data, other official estimates may be taken, often from the U.N. _Population and Vital Statistics Report_ and occasionally from government publications. Other sources of estimates include Eurostat (1987) and the United States Bureau of the Census (1985; Jamison, Johnson, and Engels 1987). The specific sources of information are listed by country in the appendix.

The mid-1985 population of each country is distributed by age and sex using a percentage distribution often obtained from _World Population Prospects 1988._ These distributions were estimated by the U.N. Population Division from census data adjusted for age misreporting or using stable population analysis. For most Sub-Saharan countries, World Bank estimates of current age-sex distribution were adopted instead.

# _Mortality Level and Trend_

Ihis section considers the sources of mortality data used for the base period and the manner in which future trends in rmortality are defined. Future trends are specified through projections of life expectancy by sex, projections of infant mortality, and the choice of appropriate model life tables. Each of these elements will be described. Comparisons will also be made with the previous method for projecting mortality.

Data. Base-period mortality levels in the projections are represented by life expectancies by sex and itfant mortality rates for both sexes combined. Life expectancies were obtained from a variety of sources. A preliminary version of _World Population Prospects 1988_ was a common source. Other figures are based on official or other estimates appearing in _Populadon and Vital Statistcs Report_ or government publications. A few figures are taken from the U.S. Bureau of the Census (1985; Jamison. Johnson, and Engels 1987), Eurostat (1987), and Monnier (1988). These sources often report mortality levels for periods other than 1985-90, or give indices other than life expectancies, or both. Some estimation and projection is then necessary to obtain the right index. In some cases, a mortality estimate is first made for an earlier period, and an estimate for 1985-90 obtained by applying the projection methodology being described here. Some Bank sources are also cited in the appendix: Bank sector reports; Bank assessments, involving unpublished analysis of census or survey data; dI Bank estimates, or informed judgmcnts for which no further source can be cited.

Infant mortality rates come about as often as life expectancies from the prcliminary version of _World Population Prospects 1988._ However, a number are drawn from _Population and_
INTRODUctION Xi

# _Vital Staistics Repon_ and others are estimated from diverse data.

Future trends in life expectancy. LUf **e** xpectancy is projected from year 0 to year t using a logistic function over time of the form e, -o = + k / 1 + exp [logit(eo) + rt]j, with loglt(eQ) = log, [(ko + k - e) / (ee - 0 1).

The logistic function is set to rise most rapidly from a level ef 50 years or so and increaeingly slowly at higher levels. The minimum (ko) for the logistic functions for both sexes is assumed to be 20 years, and the maxima (ico + k) are assumed to be _82.5_ vears for females and 75.8 years for males. The rate of change (r) for the logistic function is allowa vary across countries, and for a given country to vary over time.

For the first quinquennium (1985-00), the rate of change (r,) is estimated from the rate of change in the previous quinquennium ('o) and from the female secondary enrolment ratio (so), using the equations r, = .00379 + .723 r0 - .000254 s for females, and r, = .01159 + .885 ro - .000318 so for males.

Percent urban is used in a few cases, with a different equation (see Bulatao and P'v, 1989), where secondary enrolment is not available, and in fewer cases still the rate of change in the * revious decade is used instead of the rate of change in the previous quinquennium when the latter appears to have been affected by exceptional circumstances. Limits are imposed on the rate of change for the first quinquennium (and for all other quinquennia), such that it cannot be greater than -.017 (which would give slow mortality decline) or less than -.053 (which would give rapid mortality decline).

For the econd quinquennium, the rate of change is estimated as a function of the rate of change for the first quinquennium: f2 = -.007 + .8 rl.

The rate of change for the third quinquennium is estimated from the rate of change for the second quinquennium in the same manner. This equation allows rateo of change to converge toward the uniform pattern Imposed f9r subsequent quinquennia.

For these subsequent quinquennia for all countries, the rate of change in life expectancy is constant at -.035 for both sexes. At this rate, the annual increments to life expectancy vary by initial levels as il -ated by the medium pattern in Table 1. Minimum and maximum increments corresponding t6 .ae slow and rapid limits imposed on rates of char-,e in thie first three quinquennia are also shown.

Jr'-Aure trends in infant mortality. Infant mortality is projected using a similar logistic function. The rate of change for each of the first three quinquennia is obtained from the equation r, = .03 + .5 r,.1, with the restriction that this rate must be in the range [.024, .1301. These limits provide schedules of minimum and maximum annual decrements to infant mortality, varying by the initial rate, shown
Xli INTRODUCTION in Table 2. A set of medium decrements is also previded, representing the typical sQcdcu'ie af improvements toward which rates oi change converg_s when. the preceding equation is applied suc 'ssively.

Table 1 Assumed Annual Increments to Life Expectancy (in years)

|when. the preceding equation is applied<br>suc'ssively.|Initial<br>tifo||males|||Femal|es|
|---|---|---|---|---|---|---|---|
||expec-|||||||
|Selectionof life tables.|tancy|Minimun|NedlunM|aximu|nminimu|nMediun|Maxinun|
|Those life tables are selkt:d from the||||||||
|oale-Demeny models (Coale and||||||||
|<br>Demeny 1983) that provide the projected|40|0.22|0.45|0.69|0.23|0.48|0.73|
|lifc expectancy and infant mortality rates|45|0.23|0.48|0.7S|0.26|0.53|0.80|
|fo. the first three quinquennia.<br>First, a|50|0.24|0.48|0.73|0.27|0.55|0.83|
|level of the life tables is chosen to give|55|0.22|0.45|0.69|0.26|0.54|0.81|
|the<br>desired<br>infant<br>mortality<br>rate|60|0.19|0.39|0.59|0.24|0.50|0.76|
|(interpolation<br>is used<br>if necessary).|65|0.15|0.30|0.45|0.21|0.44|0.66|
|Mortality<br>rates up to age 14 are taken|70|0.09|0.18|0.27|0.17|0.35|0.52|
|from this life table.<br>Second, another|75|0.01|0.03|0.04|0.11|0.23|0.34|
|level of the life table is chosen to give|s o-||||0.04|0.08|0.12|
|rates fot' ages 15 and older such that the||||||||
|desired level of life expectancy is||||||||
|obtained.<br>Amrnbthe four Coale-|--not|appticable|.|||||
|Demeny families (North, South, East,||||||||
|and West), that family is chosen which m|inimizes t|he diverg|ence be|tween|the two|chosen|levels.|

For subsequent quinquennia, only life expectancy is used in determining levels, and the West family is used consistently.

Survivorship ratios from these model life tables were specified for the first three quinquennia and for 2025-30, 2050-55, and 2100-05. The projection program used, ProjPC-II 'Hill n.d.), was allowed to interpolate linearly for intervening periods, to facilitate a smooth transition across life table families where this was necessary.

Comparison with other mortality projections. These procedures may be compared with the previous procedures with regard to their rationale and to their effects on projected mortality and population. The change in procedures does produce generally minor, expected differences in results.

These procedures were developed from analysis of trends in life expectancy and infant mortality in available national data (Bulatao and Bos 1989). Lo.istic functions are used because these fit past trends best, country by country. The schedules of medium change in life expectancy and infant mortality reflect median trends across countries, and the schedules for minimum and maximum change reflect the 10th and 90th percentile when country trends are ranked from sloweat to fastest. The equations to predict short-term trends in life expectancy and infant mortality were estimated using these data; other socioeconomic factors, like per capita income, did not improve prediction.

The procedures used for projecting mortality in the previous edition were based on earlier data and involved two separate schedules of increments to life expectancy, for countries with high and with low female primary enrolment. Infant mortality was not projected separately, and life tablv' were chosen based on life expectancies alone.
INTRODUCTION Xiii The current schedule of medium increments to life expectancy is compared with the previous schedule for high-enrolment countries, as well as with the medium schedule used by the U.N. (1989), in Figure 1. (Only female life expectancy is shown.). The three schedules are close to each other, the main difference occurring at high levels of life expectancy, where the U.N. permits substantially more improvement. Given the long-run nature of these projections, the current schedule cannot permit rapid improvements at high levels without either higher maxima or an abrupt slowdown in improvements at some future poinL A similar compariLon is made in Figure 2 of decrements to infant mortality. Neither the previous procedures nor the U.N. procedures are based on explicit schedules for infant mortality change. To allow comparison, actual decrements were calculated from country projections and curves were fitted to represent their dependence on initial level of infant mortality. Figure 2 shows that the medium decrements are generally larger than those implicit in previous World Bank and current U.N. projections (though never by more than one per thousand), possibly reflecting recent, more rapid improvements captured by the revision in methodology.

Table 2 Assumed Annual Decrements to Infant Mortality Rate (per thousand)

|Initial<br>infant<br>mortality<br>|||
|---|---|---|
|rate|Mininum|MediunMaximun|
|150|-0.90|-2.26<br>-4.97|
|140|-1.00|-2.51<br>-5.52|
|130|-1.08|-2.71<br>-5.92|
|120|-1.13|-2.83<br>-6.17|
|110|-1.16|-2.90<br>-6.29|
|100|-1.16|-2.90<br>-6.28|
|90|-1.14|-2.85<br>-6.13|
|80|-1.10|-2.73<br>-5.85|
|70|-1.03|-2.55<br>-5.45|
|60|-0.93|-2.31<br>-4.92|
|50|-0.81|-2.01<br>-4.27|
|40|-0.67|-1.65<br>-3.49|
|30|-0.50|-1.23<br>-2.60|
|20|-0.31|-0.76<br>-1.6C|
|10|-0.09|-0.23<br>-0.4E|

In addition to the new schedules, the current procedures involve some individualization of cou;ntry trends.

The effects of this are more difficult to assess. Bulatao and Bos (1989) report simulations for eight countries with widely varying mortality levels, which provide some impression of the changes. For these eight countries, the new projected trends for life expectancy generally remain close to trends projected by the previous procedures, as well as to trends projected by the U.N. The main differences are in two areas. First, for countries like Norway, the current and the previous procedures agree, but he U.N. projects faster improvements, following their schedule shown in Figure 1. Second, for countries like Ghana and Bolivia, the slowness of past improvements in life expectancy is reflected in projected levels that, after two or three decades, are as much as but no more than 4-5 percent lower than those previously projected.

Infant mortality trends differ more than life expectancies from those previously produced, because the previous procedures relied on models to give infant mortality levels. The new estimates of future infant mortality are sometimes lower and sometimes higher than the previous estimates, with no consistent pattern.

The simulations showed that the crude death rate is affected by these changes, rising or falling as much as 10 percent relative to previous estimates for specific periods. On the other hand, total population is affected much less, varying from previous estimates for future periods by 2.5 percent at most.

# _Fertility Level and Trend_

After briefly describing the sources of fertility data, this section explains how future trends in fertility are determined. It then considers how the procedures compare with previous
# XIV INTRODUCTION

Figure 1 Annual Increments to Female Life Expectancy (in years), by Initial Level, Compared with U.N. and Previous World Bank Pattems <!-- Start of picture text --> o0.9<br>0.7-<br>0.6-<br>0.6 - ~~CURRENT<br>0.5 U<br>0.4<br>0.3-<br>0.2-<br>0.1<br>35 40 45 S0 55 60 65 70 75 80 85<br>INITIAL LIFE EXPECTANCY<br><!-- End of picture text --> Figure 2 Annual Decrements to Infant Mortality Rate (per thousand), by Initial Rate, Compared with the U.N. and Previous World Bank Pattems <!-- Start of picture text -->
-0.2-<br>-0.4  .<br>-0.6<br>-0.9<br>-1.4<br>-1.6<br>-2.0<br>-2.2-<br>-2.4-<br>-2.65<br>-2.8<br>160  150  140  130  120  110  100  90  80  70  60  50  40  30  20  10<br>INITIAL  INFANT MORTALITY PATE<br><!-- End of picture text -->
INTRODUCTION XV

# procedures for projecting fertility.

Data. Base-period total fertility rates (TF1Rs) are derived from the same mix of sources as mortality rates, including _World Population Prospects 1988;_ official sources, as cited in _Population and Vital Statistics Report_ or in government publications; the U.S. Bureau of the Census (1985; Jamison, Johnson, and Engels 1987); and Monnier (1988). We also relied on various surveys, especi;Ily Demographic and Health Surveys, which were available for two dozen countries. Often, these sources give fertility estimates for a different period or in terms of the crude birth rate, and appropriate total fertility rates were obtained by projection of earlier estimates or approximated using available data on age-sex composition and age-specific fertility. The appendix lists the specific source for each country, and also indicates some cases where an informal Bank estimate was made in the absence of reliable data.

Future trends. Future fertility trends are specified by quinquennial total fertility and by a year when the net reproduction rate reaches unity, i.e., when the average woman's fertility results in exactly replacing herself. (This is referred to here as the replacement year.) Separate procedures are applied for three stages of the fertility transition: the pretransition stage, when fertility is high and sustained fertility decline has not started; the transition stage, when fertility is high to medium and sustained fertility decline is in progress; and the late-transition and posttransition stage. We discuss procedures for determining total fertility in each stage and then explain what age-specific patterns of fertility were applied.

For current purposes, a fertility transition is assumed to have started if a country has eperienced a drop in total fertility of at least .5 points over any five-year period, or if total fertility is already below 4.5 after a more gradual decline (Bulatao and Elwan 1985). The pretransition stage is the stage before any such decline is evidenL The late-transition and posttransition stage is defined by a total fertility rate one point above replacement level (about 3.15) or lower.

Countries in the pretransition stage are assumed to start a fertiliky transition in the quinquennium after combined male and female life expectancy reaches 50 years, but in no case later than 2005. The life expectancy threshold is slightly lower than the threshold of 53 years previously shown to be a universal precondition, though not a sufficient condition, for the start of fertility transition (Bulatao and Elwan 1985). Until a transition starts, total fertility is assumed to be constant. The one exception is where sterility is a significant factor, sterility is then assumed to decline linearly to 6 percent over three quinquennia, with each pcrccntage point drop in sterility raising total fertility by .11 points (Frank 1983).

In the transition stage, the rate of fertility decline 's based on the rate in the preceding quinquennium, assuming transition had already started in that period. With previous annual change represented by DwR, annual change during the transition is set at (-.05 + .5 DIFR) However, limits are set on this change: it must be at least -.073 points and at most -.210 points, which may be taken to define slow and rapid fertility decline. (Previous analysis in Bulatao and Elwan 1985 defined rapid decline as an annual total fertility change of -.2164 points, which is consistent.) If the formula does not apply because transition has just started, an average annual decline in total fertility of .102 points is imposed. Figure 3 shows the patterns of fertility decline implied by this average and by the slow and rapid limits. In the early part of the transition stage, the stcrility adjustment is applied if appropriate to raise total fertility slightly.

In the late-transition and posttransition stage, fertility approaches replacemcnt level, either from slightly above or slightly below it. Four altcrnative patterns, represented in Figure 4, are applied in this stage.
# XVi INTRODUCnON

Figure 3 Assumed Medium Trend and Aftemative Slow and Rapid Trends in Total Fertility During the Fertility Transition <!-- Start of picture text --> 5.0-<br>4.5-<br>4.0-<br>3.0-<br>2.5-<br>192 5-90 1595-2000 2005-10 2015-20 2025-30 2035-O0 204-;-50<br><!-- End of picture text --> Figure 4 Assumed Trends in Total Fertility at the End of the Fertility Transition <!-- Start of picture text --> 2.9-<br>2.8-<br>2. 7<br>2.0- . w<br>2 5-<br>2.4-<br>2. 3-<br>2.2-<br>2.0-<br>1.9<br>*1.9<br>1.5<br>930-8s5 1990-95 2000-05 2012-1S 2020-25 2030-35<br><!-- End of picture text --> Figure 5 Percentage of Total Fertility Assigned to Different Ages, by Level of Total Fertility <!-- Start of picture text --> 26-<br>24-<br>20-<br>0-2<br>14-<br>12-<br>10-<br>4-<br>2-<br>15-19 20-24 25-29 30-34 35-39 40-44 45-49<br><!-- End of picture text -->
INTRODUCTION XVii

* Generally, a geometric function is imposed on total fertilitydecline from one point above replacement level to replacement level, with this decline assumed to take 15 years.

* Where total fertility has shown unusually slow decline, it is assumed to take 20 rather than 15 years for total fertility to fall one point to replacement.

* Where, toward the end of a fertility transition, total fertility is still recording rapid declines even though it is close to or even below replacement level (2.25 to 1.75), it i assumed to fall further for one period, generally going below replacement, to stay constant in the next period, and then to return to replacement.

* Where the transition has been completed and total fertility is below replacement, it is assumed to stay at the current level for two quinquennia, and then to return gradually to replacement, along a linear path, by 2030.

In applying late-transition procedures, the level of total fertility that provides replacement is approximated by a quadratic formula based on female life expectancy (e(,) in the replacement year:

**TFRNRR.I** = 6.702 - .1107 e(,Q + .0006592 eMj.

The replacement year is first approximated in order to determine life expectancy and then calculated given this formula and whichever pattern of fertility change above is appropriate.

For all stages of fertility transition, the age pattern of fertility is determined in the same fashion, depending on the level of total fertility (Figure 5). Two basic schedules of age-specific fertility are defined: for total fertility levels greater than six and for total fertility levels of three and lower. In between, age patterns are obtained by interpolation between the two schedules. At a total fertility level of six, a greater proportion of births are at younger and older ages of the reproductive span, and the mean age of childbearing is 28.9 years. At a total fertility level of three, births are concentrated in a narrower band of ages, and the mean age of childbearing is 28.0.

Comparison with other fertility projections. These procedures contrast with the procedures previously used, which depended essentially on subjective judgments of the replacement year for each country. We explain some of the basis for the procedures and contrast the results.

These procedures were developed from analysis of total fertility trends in cross-national data (Bos and Bulatao 1989). In the pretransition stage, countries showed mostly stable fertility. The transition stage was more interesting. Across 42 countries which started a fertility transition between 1955 and 1983, the average annual decline in total fertility ranged from 0.06 to 0.25 points. Countries which had initial sharp declines in fertility tended to continue declining rapidly, while those that started with more gradual declines continued along the same path. Rapid and slow decline were found in all regions. The rate of decline was predicted best by the rate in preceding periods; socioeconomic factors added little to this prediction. Other than the mortality threshold, socioeconomic factors also failed to predict the start of fertility transition.

The previous procedures involved a regression equaiion for the replacement year, derived after initial subjective judgments of this year. Reverse geometric and geometric curves weve then fit between current fertility and replacement level. By contrast, the current procedures focus on the pace of change in total fertility, determining the replacemcnt year as the outcome rather than the first step in the process.
## XViii INTRODUCnON

Comparisons of results are provided for selected countries in Bos and Bulatao (1989). Overall, the new procedures have slight effects on the projected future course of fertility and on projected population. However, they do delay the start of fertility transition relative to the previous procedures in countries with high mortality levels. They also tend to slow fertility decline in Africa, which under the previous procedures was faster than has generally been experienced by countries passing through the fertility transition. These changes have a lasting effect on projected population for the affected countries, which tends to be somewhat higher in the long r.in. Other smaller effects also exist For instance, the provision that allows some countries to continue fertility decline below replacement ievel leads to projections of slightly lower fertility in some parts of East Asia.

# _Migration Level and Trend_

Estimates of net international migrants in the base period, by sex, were made from a review of international migration statistics published by national immigration agencies, statistical organizations, and other official and unofficial sources; from country population estimates and projectionis produced by international and regional agencies, national census and statistics offices, other government organizations, interagency task forces, and research institutions; and from discussions with experts in the subject (Arnold 1989). These estimates constitute a substantial revision of estimates used in the previous edition, and involve somewhat higher levels of net migration (Table 3).

For purposes of these estimates, individuals are counted as migrants who have resided in countries different from their previous residences for at least a year. An exception is refugees living in officially designated camps, who continue to be counted in their countries of origin regardless of period of residence. Only net estimates by quinquennium were made; immigration and emigration were not estimated separately, and single-year figures were not assessed.

Estimates of future net migrants by quinquennium up to the year 2000 were also made as part of the same examination of data and sources (Arnold 1989). These estimates are strongly affected by official policies and plans in the major receiving countries. The figures were designed to total zero in each quinquennium for the whole world. After the year 2000, the number of net migrants is assumed to approach zero linearly in each country, at the estimated rate of change in their number from the period 1990-95 to the period 1995-2000, or at a rate that would make their number zero by 2025-30, whichever rate is faster. For these later periods, a zero total for worldwide net international migration was obtained by adjusting initial estimates of net migrants in three major receiving countries-the United States, Australia, and Canada-upward or downward as necessary by a proportion constant across these countries, but varying by quinquennium. These adjustments were of 1 or 2 percent for the earlier periods, negligible compared to the volume of migration assumed for these countries, but were up to 10 percent for later periods.

The age-sex distributions of migrants are determined from alternative models based on their sex ratios. If migration is heavily male, migrants are assumed to be concentrated in the age group 15-30, with few children and elderly. If migration is more balanced between males and females, proportionally more migrants are assumed to be children and elderly (Hill n.d.).

The revised migration estimates are higher than the previous estimates, particularly for the near future. In the base period, annual total net moves (i.e., not counting any moves that are balanced by moves in the opposite direction) were 900 thousand in the previous estimates and are 1.1 million in the revised estimates. For the following two quinquennia, the changes are larger, from 630 to 990 thousand moves and from 380 to 890 thousand moves. However, even the largest of these figures is only 1 percent of annual world growth, or the equivalent of annual increase in a single moderate-fertility country like Turkey.
INTRODUCTION XiX Table 3 Assumed Net Intemational Migration by Sex, 1985-90 (thousands)

|Country|Males|Female|s Total|Country|Hales F|emaLe|s Total|
|---|---|---|---|---|---|---|---|
|Afghtnistan|-13|-12|-25|Ethiopia|-120.6|-60|-180.6|
|Albania|0|0|0|FIji|-13|-13|-26|
|Alge'ia<br>|0|0|0|Finland|7.5|7.5|15|
|Ar,gola|0|0|0|France|57.8|46.9|104.7|
|Antigua and Barbuda|I|1|2|French Polynesia|2.5|2.5|5|
|Argentina|0|0|0|Gabon|0|0|0|
|Australia|306|305|611|Gambia, The|8|7|15|
|Austria|0|0|0|Gaza Strip|-12|-8|-20|
|Bahamas|1|1|2|German Dem. Rep.|-4|-3|-7|
|Bahrain|12|4|16|Germany, Federal Rep. of|27|23|50|
|Bangladesh|-20|-15|-35|Ghana|-1|-1|-2|
|Barbados|-4|-4|-8|Greece|10|10|20|
|Belgium|8|7|15|Grenada|-1|-1|-2|
|<br>Belize|-1.5|-1.5|-3|Guadeloupe|-9|-7|-16|
|Benin|-3|-2|-5|Guam|0|0|0|
|Bhutan|0|0|0|Guatemala|-69|-61|-130|
|Bolivia|-26|-14|-40|Guinea|4|7|11|
|Botswan|0|a|0|Guinea-8issau|-3|-2|-5|
|Brazil|-5|<br>-5|-10|Guywan|-35|-35|-70|
|Brunei|9|4|13|<br>Haiti|-60|-50|-110|
|Bulgaria|0|0|0|Honduras|-11|-9|-20|
|Burkina Faso|-62|-28|-90|Hong Kong|49|26|75|
|Burundi|-8|-7|-15|Hungary|-3|-3|-6|
|Cambodia|0|0|0|Iceland|0|0|0|
|Cameroon|0|0|0|India|-133|-117|-250|
|Canada|175|195|370|Indonesia|-14|-11|-25|
|Cape Verde|-6.6|-4.4|-11|Iran, Islamic Rep. of|-27|-14|-41|
|Central African Rep.|0|0|0|Iraq|0|0|<br>0|
|Chad|0|0|0|Ireland|-25|-25|-50|
|Charnel Islands|0|0|0|Israel|17|10|27|
|Chile|-6|-6|-12|Italt|0|0|0|
|China (excluding Taiwan)|-166|-108|-274|Jamaica|-60|-50|-110|
|Colonbia|,-115|-85|-200|Japan|-8|-7|-15|
|Comoros|a|0|0|Jordan|0|0|0|
|Congo, People's Rep. of the|0|0|0|Kenya|6|4|10|
|Costa Rica|0|0|0|Kiribati|-0.6|-0.7|-1.3|
|C6ted'Ivoire|191|105.7|296.7|Korea, Dem. People's Rep. of|0|0|0|
|Cuba|-26|-24|-50|Korea, Rep. of|-79|-96|-175|
|Cyprus|-1.Z|-0.8|-2|<br>Kuwait|50|22|72|
|Czechoslovakia|-2.5|-2.5|-5|Lao People's Dem. Rep.|-3|-2|-5|
|Deranark|0|0|0|<br>Lebanon|-160|-115|-275|
|Djibouti|13.6|4|17.6|Lesotho|-7|-3|-10|
|Dominica|-1|-1|-2|Liberia|3|2|5|
|Dominican Rep.|-60|-50|-110|Libya|30|10|40|
|Ecuador|-10|-10|-20|Luxembourg|0|0|0|
|Egypt, Arab Rep. of|-60|-40|-100|Macao|32|16|48|
|El Salvador|-122|-90|-212|Madagascar|0|0|0|
|Equatorial Guinea|0|0|0|Malawi|-17|-5|-22|
XX INTRODUCTnON

# Table 3 (continued)

|Country|Hales|Female|s<br>Total|Country|Males|Female|s<br>Total|
|---|---|---|---|---|---|---|---|
|Malaysia|-8|<br>-7|<br>-15|Sao Tom* and Principe|0|<br>0|<br>0|
|Maldives|0|<br>0|<br>0|Saudi<br>Arabia|245|<br>80|<br>325|
|Mali|-87|-54.7<br>|<br>-141.7|Senegal|35|<br>15|<br>50|
|Malta|-5|<br>-5|<br>-10|Seychelles|-1.5|-1.5|<br>-3|
|Martinique|-8|<br>-6|<br>-14|Sierra<br>Leone|0|<br>0|<br>0|
|Hauritania|-20|<br>-10|<br>-30|Singapore|-6|<br>-4|<br>-10|
|Mauritius|-6|-4|<br>-10|Solomon Islands|0|0|0|
|Mexico|-445|-305|-750|Somalia|19.6|6.5|26.1|
|Mongolia|0|0|0|South Africa|11|9|20|
|Montserrat|-0.3|-0.3|-0.6|Spain|19|16|35|
|Morocco|-21|-14|-35|Sri Lanka|-120|-70|-190|
|Mozambique|-6|-4|<br>-10|St. Kitts and Nevis|-3|-3|-6|
|Myamnar|-5|<br>-5|<br>-10|St. Lucia|-1.5|-1.5|-3|
|Namibia|0|0|0|St. Vincent and the Grenadine|s<br>-1|-1|-2|
|Nepal|0|0|0|Sudan|15.4|9.5|24.9|
|Netherlands|30|20|50|Suriname|-3|-2|-5|
|Netherlands Antilles|-4|<br>-3|<br>-7|Swaziland|0|0|0|
|New Caledonia|-1.8|-1.2|-3|Sweden|17.5|17.5|35|
|New Zealand|0|0|0|Switzerland|0|0|0|
|Nicaragua|-10|<br>-10|<br>-20|Syrian Arab Rep.|-54|<br>-36|-90|
|Niger|0|0|0|Taiwan|-50|-50|-100|
|Nigeria|0|<br>0|0|Tanzania|6|<br>4|<br>10|
|Norway|12|<br>8|20|Thailand|-15|<br>-15|<br>-30|
|_Oman_|33|<br>12|<br>45|Togo|0|<br>0|<br>0|
|Other Europe|4|<br>4|8|Tonga|-2.2|-2.2|-4.4|
|Other Latin America-Caribbean|<br>1|1|2|Trinidad and Tobago|-12|-8|-20|
|Other hicronesia|0|<br>0|0|Tunisia|0|<br>0|<br>0|
|Other North Africa|0|<br>0|0|Turkey|-36|<br>-31|<br>-67|
|Other North<br>America|0|<br>0|0|Uganda|-25|<br>-20|<br>-45|
|Other Polynesia|-1.5|-1.5|<br>-3|United<br>Arab Emirates|75|<br>25|<br>100|
|Other<br>West Africa|0|0|0|United<br>Kingdom|-75|-75|-150|
|Pacific<br>Islands|-2.3|-1.7|<br>-4|United<br>States<br>of America|1537|1363|2900|
|Pakistan|.'153|-103|-256|Uruguay|-9|<br>-7|<br>-16|
|Panama|-15|<br>-15|<br>-30|U.S.S.R.|-20|<br>-20|<br>-40|
|Papua<br>New Guinea|0|0|0|Vanuatu|-1.5|-1.5|<br>-3|
|Paraguay|12|<br>8|20|Venezuela|45|<br>30|<br>75|
|Peru|-10|<br>-10|<br>-20|Viet Nam|-57|<br>-43|-I00|
|Philippines|-130|-160|-290|Virgin Islands<br>(U.S.)|-1.3|-1.1|-2.4|
|Poland|-29|<br>-36|<br>-65|<br> <br>Western<br>Samoa|-7|<br>-7|<br>-14|
|Portugal|-27|<br>-23|<br>-50|Yemen,<br>People's<br>Den. Rep. of|-16|<br>-5|<br>-21|
|Puerto<br>Rico|-25|<br>-33|<br>-58|Yemen<br>Arab Rep.|-11|<br>-4|<br>-15|
|Qatar|35|<br>10|<br>45|Yugoslavia|-13|<br>-12|<br>-25|
|Reunion|0|0|0|Zaire|3|2|5|
|Romania|-15|<br>-15|<br>-30|Zambia|0|<br>0|<br>0|
|Rwanda|-6|<br>-4|<br>-10|Zinbabwe|0|<br>0|<br>0|

Source: Arnold 1989.
INTRODUCnON XXi The estimates assign to the United States more net immigrants in 1985-90 than all other countries of the world combined. Other major destination countries are Australia, Saudi Arabia, Canada, and Cote d'Ivoire. Mexico has by far the largest net emigration, and its dominance in this area is expected to increase in the 1990s.

# SUMMARY OF RESULTS

A brief discussion of projection results in this section will focus, first, on the population of the world and continents; secord, on the population of subcontinental geographic regions and of countries grouped by income; third, on the population in World Bank regions, which differ from the U.N. geographic regions; and, finally, on the population of particular countries or economies.

# _World and Continents_

For the world and the continents, we consider population totals and medium-term growth; long-run growth; age structure and dependency, and the fertility and mortality rates underlying the projections.

World population. The population of the world is estimated at 4.84 billion in 1985. It surpassed 5.0 billion in mid-1987, and is projected to reach 5.3 billion in 1990 (Table 4). The annual rate of growth in 1985-90 has been 1.74 percent. TIis rate is projected to decline to 1.66 percent in the first half of the 1990s, and to 1.54 percent toward 2000. In spite of this, the annual net increase in the number of people will be larger each year until the late 1990s, averaging Table 4 Total Population, Annual Increase, and Growth Rates for the World and Less Developed and More Developed Countries, 1985-2025

||Popula|tion (millio|ns)||Annual i|ncrease<br>(m|<br>illions)|<br>Growt|h<br>rate (pe|rcent)|
|---|---|---|---|---|---|---|---|---|---|---|
|||Less|More|||Less|More||Less|More|
|Year|<br>World<br>d|<br>evelope**d**|eveloped|Period|World d|evetoped<br>d|<br>eveloped|World<br>d|<br>eveloped<br>d|<br>eveloped|
|1985|<br>4,844|<br>3,666|<br>1.179|1985-1990|<br>88.2|81.7|6.5|1.74|2.11|0.54|
|1990|<br>5.285|<br>4,074|<br>1,211|1990-1995|<br>91.7|85.9|5.8|1.66|2.00|0.47|
|1995|<br>5,744|4,504|<br>1,240|1995-2000|<br>92.1|87.0|5.1|1.54|1.84|<br>0.41|
|2000|<br>6,204|<br>4,939|<br>1,265|2000-2005|<br>91.7|87.4|4.3|1.43|1.70|<br>0.34|
|2005|<br>6,663|<br>5,376|<br>1,287|2005-2010|<br>89.9|86.4|3.5|1.31|1.55|0.27|
|2010|<br>7,112|<br>5,808|<br>1,304|2010-2015|<br>88.7|85.7|2.9|1.21|1.42|<br>0.22|
|2015|<br>7,556|<br>6,237|<br>1,319|2015-2020|<br>87.5|85.3|2.1|1.13|1.32|<br>0.16|
|2020|<br>7,993|6 663|1,330|2020-2025|<br>84.4|83.0|1.4|1.03|1.21|<br>0.10|
|2025|<br>8,415|<br>7,078|<br>1,336||||||||

Note: "More developed" comprises Europe, U.S.S.R., Northern America (United States and Canada), Australia, New 2ealand, and Japan. "Less developed" comprises the rest of the world.
# xxii INTROoUCnON

close to 92 million people annually, with a projected all-time high incrcase of ovcr 92 million around 1998. The projections show that it will take only 11 years to add anothcr billion to the five billion people of 1987. Despite a declining trend in fertility, population growth in the short term will clearly be very high.

After the turn of the century, population will continue to grow, although at a somcwhat slower rate. The seven billion mark will be reached before the end of the first decade of the 21st century. Because of differences in growth rates between less developed and more developed countries, 84.1 percent of world population will be living in what are currently Icss developed countries by 2025, up from 75.7 percent in 1985.

These projections differ only slightly from U.N. (1989) and previous WVorld Bank projections (Zachariah and Vu 1988). Figure 6 shows that the estimate of the population in Icss developed countries by 2025 is .5 percent lower than the U.N. estimate and 3 percent higher than the previous World Bank estimate. Figure 7 shows that the estimate of the population in more developed countries by 2025 is 1 percent lower than the U.N. estimate and identical to the previous World Bank estimate. These diffcrences are due not only to diffcrences in procedures for projecting vital rates but also to slightly different current population and vital rate estimates.

Continents. Current and projected population and growth rates by continent are shown in Table 5. In these groupings of countries, North and South America are considered together, the U.S.S.R. is combined with Europe, and Australia is combined with the Pacific under Oceania. (The population of Antarctica is insignificant.) The percentage distribution of world population by continent is reprcsented for 1985, 2000, and 2025 in Figures 8-10.

Asia, with the two most populous countries in the world, accounts for 58 percent of world population, and currently contribu;cs 63 percent of the annual incrcase, or about 55 millior. people. By 2025, Asia will still be adding to world population about 45 million pcople annually. However, by that year, the proportion of world population in Asia is expectcd to be no diffcrent from the 1985 proportion, despite a projected 74 percent increase in the Asian population from 1985 to 2025.

Table 5 Total Population. Annual Increase, and Growth Rates for Continents. 1985-2025

|||PopuLat|ion (milli|ons)|||Ann|uat incr|ease (|mittions)|||Growth r|ate (p|ercent)||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|||Ame-|<br>|Europe,||||Ame-||Europe,|||Ame-||Europe|,|
|**Year**|Africa|rica|<br>Asia|USSR|Oceania|Period|Africa|rica|Asia|USSR|Oceania|Africa|rica|Asia|USSR|Oceania|
|1985|559|667|2,823|771|<br>25|1985-1990|<br>18.2|10.9|55.4|3.3|0.4|3.02|1.57|1.87|0.42|1.63|
|1990|651|721|3,100|787|<br>27|1990-199|5 20.5|10.9|57.1|2.7|0.4|2.93|1.45|1.76|0.34|**1.59**|
|1995|753|775|3,385|801|<br>29|1995-2000|<br>23.3|10.2|55.7|2.4|0.4|2.88|1.27|1.58|0.30|1.40|
|2000|<br>870|<br>826|3,664|<br>813|<br>31|2000-200|5 26.0|<br>9.4|53.9|2.0|0.4|2.79|1.10|1.42|0.25|1.21|
|2005|**1,000**|<br>**873**|3,934|<br>823|<br>33|2005-201|0 27.8|<br>9.0|51.1|<br>1.6|<br>0.4|2.60|1.00|1.26|0.20|1.04|
|2010|1,139|<br>918|4,190|<br>831|<br>35|2010-201|5 29.2|<br>8.8|48.9|<br>1.4|<br>0.3|2.41|0.94|1.14|0.17|0.89|
|2015|1,285|<br>962|4,434|<br>838|<br>36|2015-202|0 30.1|<br>8.3|47.8|<br>1.1|<br>0.3|2.21|**0.84**|1.05|0.13|0.72|
|2020|1,435|1,003|**4,673**|844|<br>38|2020-2025|<br>30.4|7.2|45.6|0.8|0.2|2.02|0.71|0.95|**0.10**|0.59|
|2025|1,587|1,040|4,901|<br>848|<br>39||||||||||||
INTRODUCTION XXiii Figure 6 Projected Population (billions) in Less Developed.Countries, 1985-2025, Compared with U.N. and Previous World Bank Projections <!-- Start of picture text --> 7.5 -<br>6.0 ~ - ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~~~Pev ious<br>5.5<br>4.5-Curn| 5 0<br>4.0<br>1985 1990 1995 2000 2005 2010 2C15 2020 2025<br><!-- End of picture text -->

Figure 7 Projected Population (billions) In More Developed Countries, 1985-2025, Compared with U.N. and Previous World Bank Projections <!-- Start of picture text -->
1.36<br>1  .35-<br>1.34  -<br>1  .33 -<br>1  .32-  reiu<br>1.31-<br>1  .3-  C3rent<br>1.29-<br>1 .286<br>1.2?<br>1  .26<br>1  .25<br>1 .24<br>1.23<br>1.22-<br>1.21<br>1 20-<br>1.19<br>1.17<br>1985  1990  1995  2000  2005  2010  2015  2020  2025<br><!-- End of picture text -->
# XXIV INTRODUCT1ON

**Figure** 8 Percentage Distribution of Wc,ld Population by Continent, 1985

<!-- Start of picture text --> ELrVe on: U.S.S.R CIS.SM<br><!-- End of picture text --> <!-- Start of picture text --> eRanIn CD5)<br><!-- End of picture text --> Figure 9 Percentage Distribution of World Population by Continent, 2000 <!-- Start of picture text --> Europe Or4 U.S S R C`3 sW Africa (1C 0%)<br>M~eICO C13 3%)<br>Oceamnl CO 3M<br>Agla CS9t<br><!-- End of picture text --> Figure 10 Percentage Distribution of World Population by Continent, 2025 <!-- Start of picture text --> Eurae am U.S S . (to 1P)<br>Asia csa A c1<br>/ / / / / / / / r~~~~~~eanc CO 4%)<br>Asia ////<br><!-- End of picture text -->
INTRODUCn1ON XXV Table 6 Long-Run and Stationary Population, Momentum, Doubling Year, and Year When Net Reproduction Rate Reaches 1 for the World, Less Developed and More Developed Countries, and Continents

|||Populat|ion<br>(mill|tions)|Station<br>ary over|-<br>Popu-|Year<br> <br>when||
|---|---|---|---|---|---|---|---|---|
|Region|1985|<br>2050|<br>2100|Station<br> <br>ary|1985<br>- popula<br>tion|lation<br>-mi-<br>mentun|popul?-<br>tion<br>doubles|Year<br>when<br>NRR=1|
|Wortd|4,844|10,035|11,330|11,514|<br>2.4|<br>1.4|<br>2044|2060|
|Less developed|3,666|8,716|10.020|10,200|<br>2.8|<br>1.5|<br>2028|2060|
|More developed|1,179|1,319|1,310|1,314|<br>1.1|<br>1.1|<br>(a)|2030|
|Africa|559|<br>2,275|2,962|3,049|<br>5.5|1.&|<br>2009|2060|
|America|667|<br>1,146|1,192|1,201|<br>1.8|<br>1.4|<br>(a)|2030|
|Asia|2.823|5,728|6,288|6,374|<br>2.3|<br>1.5|<br>2047|2045|
|Europe<br>and U.S.S.R.|771|<br>843|<br>842|<br>846|<br>1.1|<br>1.1|<br>(a)|2030|
|Oceania|25|<br>42|<br>44|<br>45|<br>1.8|<br>1.3|<br>(a)|2030|

Note: More developed" compr.ses Europe, U.S.S.R., Northern America (United States and Canada), Australia, New Zealand, and Japan. "Less developed" comiprises the rest of the world.

a. Population will not double with projected rates.

Africa is growing much faster, at over 3 percent annually, as opposed to only 1.9 percent for Asia. Africa currently has a smaller population than Asia, Europe and the U.S.S.R., and the Americas, but by the year 2000 will be second in size only to Asia. Annual growth rates in Africa are projected to stay above 2 percent at least up to 2025, by which year the continental population will have almost tripled.

America, with 14 percent of world population, includes both more developed and less developed countries and is growing as a whole more slowly than Africa and Asia. By 2025, its population will have increased by half, but its share of world population will have fallen to 12 percent. The small Oceania group is projected to experience growth essentially similar to America.

Europe and the U.S.S.R., now second in size to Asia, will be only fourth among these continents by 2025. Its share of world population will shrink from 16 **to** 10 percent. This projection assumes that fertility, currfntly below replacement level for **tl-** group and for many countries, will rise to replacement level by 2030. Should this not happen, tne projected 10 percent increase in the population by 2025 could be smaller, or could even become a decrease.

Long-run trends. The long-run implications of the projection assumptions are illustrated in Table 6, which shows projections up to 2100 as well as other indicatars. If every country and economy reaches replacement-level fertility by or before 2060, world population will be over 11 billion by the end of the next century. Another 300 million will be added before thc population becomes stationary, i.e., before the growth rate falls to zero.

Table 6 shows two ratios, that of the projected stationary population to the 1985 population, and that for population momentum. The la:ter is the ratio to the 1985 population of
# OV IWNTRODUcTION

the eventual stationary population under the special assumptions that fertility drops to replacement level immediately, mortality stays constant at current levels, and no migration takes place. (Previous estimates of momentum in _World Development Report_ have allowed mortality to decline.) It is effectively an indicator of the amount of future population growth that can be attributed solely to the current age structure of a population. An illustration of the importance of viomentum is the fact that more than one billion of the stationary world population will be added because of momentum after replacement fertility is achieved.

Population momentum is considerably lower for more developed than for less developed countries. For more developed countries, only 10 percent growth can be expected because of the age structure. Nevertheless, this will still be the main source of growth for these countries, as indicated by the stationary population being only 10 percent larger than the current population.

Across continenl., population momentum is highest for Africa at 1.6, but is clearly only a small par, of futur growth. The projected stationary African population.is more than five times its 1985 population.

Age structure. Of the 4.84 billion pcople in 1985, 60 percent were in the working ages of 15-64, giving a dependency ratio (of those younger and older combined per hundred members of this group) of 67. By 2025, the world dependency ratio is projected to fall to 53. Children and youth under 15 will have fallen from 34 to 26 percent of the population, wl.ile the aged 65 and over will have risen from 6 to 9 perctait (Table 7; see Table 19 for percentages).

Projected trends in more developed and less developed 'untries are quite different. In more developed countries, the number of children and youth will actually decline from 260 to 248 million, and as a proportion of the population they will fall to only 19 percent. The aged, on the other hand, will almost double, and by 2025 should be almost as numerous as children and youth. Thus, the dependency ratio in more developed countries will rise from 50 to 58.

In less developed countries, children and youth will continue to increase, from 1.4 to 1.9 billion, though as a proportion of the population they will fall from 37 to 27 percent. The aged, who are far tcwer, will be increasing much faster, from 153 to 514 million, or from 4 to 7 percent of th: popalation. The dependency ratio will fall from 71 to 52, as the working-age population also growNs very fast, at a 2.3 percent annual rate up to 2000 and at a 1.7 percent rate from 2000 to 2025.

These contrasts are summarized in four popu;ation pyramids, for more developed and less developed countries f6r 1985 and 2025 (Figures 11-14). The pyramids for the two groups of countries are drawn to different scales. For more developed countries, growth will be modest and m.ainly involve the pyramid becoming increasingly rectangular. For less developed countries, all age groups will increase, but, given previous high fertility and high infant and child mortality and expected declines in these parameters, the pyramid will become bulkier in the middle, among working-age adults.

Across continents, Africa stands out with 45 percent of its population--10 points more than any other continent--under 15. Consequently, Africa has a dependency ratio of 94, a- opposed to only 57-66 in Asia, America, and Oceania and only 51 in Europe and the U.S.S.R. Ali three age groups--the young, those of working age, and the aged--will grow considerably faster between 1985 and 2025 in Africa 'han anywhere else. The older age groups will grow somewhat faster than the younger age groups _ij_ Africa, as will also be true in all other continents. However, by 2025, those under 15 will still be 36 percent of the population of Africa, as opposed to 19-25 percent of the population of other continents.
IN,RODUCTION xxvil <!-- Start of picture text --> Figure 11 Population in Less Developed<br>Countries by Age and Sex, 1985<br>.7-2<br>E~~~~~<br>Fiur 13 Pouato iMoeDvlpd<br>Conresb ge an Se,18.onrisb<br><!-- End of picture text --> <!-- Start of picture text --> Figure 12 Population in Less Developed<br>Countries by Age and Sex, 2025<br>mM<br>sv A I p<br>Fgr14PpltninoeDvlpd<br>gn //Se,25<br>S ,3 ////S,222W1zzzz-<br><!-- End of picture text -->
# XXViii INTRODUCTION

Table 7 Population Aged 0-14, 15-64, and 65 and Over for the Vyorld, Less Developed and More Developed Countries, and Continents, 1985, 2000, and 2025 (millions)

|Year and||Less|More||||Europe,||
|---|---|---|---|---|---|---|---|---|
|agegroup|World<br>d|<br>eveloped<br>de|<br>veloped|Africa|America|<br>Asia|USSR|Oceania|
|.1985|||||||||
|0-14|1,634|1,374|260|253|208|994|171|<br>7|
|_15-6&_|2,924|<br>2,139|784|<br>289|<br>409|1,699|<br>511|<br>16|
|65+|287|153|134|<br>17|<br>49|131|88|<br>2|
|2000|||||||||
|0-14|1,937|<br>1,685|252|<br>382|<br>230|1,154|<br>164|<br>8|
|15-64|3,860|3,015|845|462|534|2,305|540|20|
|65+|407|239|168|<br>26|<br>62|206|110|<br>3|
|2025|||||||||
|0-14|2,163|<br>1,915|248|<br>564|<br>229|1,202|<br>160|<br>9|
|15-64|5,498|<br>4,649|K84|<br>964|<br>688|3,279|541|<br>25|
|65+|754|514|240|<br>60|<br>122|420|147|<br>5|

Note: "More developed" cOqprises Europe, U.S.S.R., Northern America (United States and Canada), Australia, New Zealand, and Japan. "Less developed" co4prises the rest of the Fertility and mortality. Underlying these projections are fertility and mortality rates summarized in Table 8 for the world, less developed countries, and more developed countries. (Rates for continents are in Table 12.) The expected reduction in the world population growth rate of .2 percentage points in the next decade is based on simultaneous reductions in the crude birth rate of 3 points per thousand and in the crude death rate of 1 point per thousand, the bulk of these reductions taking place in less developed countries. The crude birth rate in less developed countries, 31 per thousand (double the rate in more developed countries), will decline 4 points per thousand in each of the next two decades. In more developed countries this rate will decline at a considerably slower pace. The crude death rate, on the other hand, is actually lower in less d,veloped countries, with their younger populations, than in more developed countries, and will decline in ihe former while it rises in the latter.

Unlike the crude birth rate, the total fertility rate is not affected by differences in age structure. This rate for the world as a whole, estimated at 3.4 for 1985-90, will fall 1 percent a year until 2000 and .8 percent a year between 2000 and 2025. The decline will be almost entirely in less developed countries, where total fertility will go from 3.9 in 1985-90 to 3.1 ir 2000-05 to 2.5 in 2020-25. In effect, the average woman in less developed countries will have one-and-a-half fewer children in 2025 than in 1985. These declines may appear relatively moderate. Howevcr, given that fertility is unlikely to decline much further in China and a few other large countries, the reductions required in other countries will still be fairly substantial. For instance, for Africa a substantial reduction in total fertility from 6.1 to 5.1 is expected within 15 years, and an even larger reduction to 3.3 within the following 20 years. Such reductions are possible, on the boasis of past experience with fcrtility transition, but in the recent past have not happened automatically but required
INTRODUCTION XXiX Table 8 Fertility and Mortality Rates for the World and Less Developed apd More Developed Countries, 1985-2030

|||W|orld||||Less|devel|oped|||More|devel|oped||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|Period|CBR|TFR|CDR|e(0)|IMR|CBR|<br>TFR|CMR|etO)|IMR|CBR|TFR|CDR|e(O)|IMR|
|1985-1990|27.1|3.43|<br>9.7|64.9|70|31.0|3.92|<br>9.6|62.1|78|14.7|1.90|<br>9.9|74.1|15|
|1990-1995|<br>25.8|3.23|<br>9.1|66.1|62|29.1|3.61|<br>8.9|63.6|69|13.9|1.86|9.7|74.8|13|
|1995-2000|24.1|3.05|<br>8.6|67.1|55|27.0|3.34|<br>8.6|64.9|61|13.2|1.85|<br>9.6|75.5|12|
|2000-2005|22.6|2.91|<br>8.3|68.2|48|25.0|3.13|<br>7.9|66.2|52|12,9|1.89|10.0|76.0|10|
|2005-2010|21.4|2.78|8.3|68.7|45|23.4|2.95|7.8|66.9|49|12.8|1.93|10.5|76.2|10|
|2010-2015|20.4|2.66|8.3|69.2|41|22.1|2.79|7.8|67.7|45|12.8|1.97|10.8|76.5|**11**|
|2015-2020|<br>19.6|2.57|8.4|69.9|38|21.0|2.66|7.8|68.5|42|12.6|2.00|11.2|76.7|10|
|2020-2025|18.7|**2.48**|8.4|70.6|35|19.9|2.55|7.8|69.3|38|12.5|2.03|11.6|77.0|9|

Note: Crude birth rates (CBR) and crude death rates (CDR) are per 1000 poputation; total fertility rates (TFR) are per woman 15-49 years of age; life expectancy at birth, e(O), is given in years; and infant mortality rates (IMR) are per 1000 live births. (See definitions in World Bank 1989.)

# deliberate intervention to lower fertility.

Figures 15 and 16 show that these assumptions about total fertility are close to those used by the U.N. and those used in the previous edition of these projections. Estimates of current fertility agree across the different projection exercises. For less developed countries, the current assumed trend initially matches the previous trend, and then slows down relative to it. This slower decline takes into account evidence that fertility changes slowly, even when transition has started, in regions like South Asia. For more developed countries, the current trend allows fertility to stay below replacement longer than the previous trend or the U.N. trend.

The assumed declines in mortality are also significant, though they will have less effect on population growth. Life expectancy at birth in the world as a whole is projected to increase five-and-a-half years by 2025, with a greater gain in less developed countries (seven years) than in more developed countries-(three years). The gap in life expectancies between less developed and more developed countries will diminish but stay substantial; it is now 12 years, and will be eight years by 2025. Some differences among continents will also shrink, but remain large. Life expectancy in Africa is now 53, as contrasted with life expectancy of 73 in Europe and the U.S.S.R. By 2025, life expectancy in Africa should be considerably extended to 64, but this will still be a dozen years shorter than life expectancy in Europe.

Figures 17 and 18 compare assumed trends in different projection exercises. Because judgments for individual countries differ, the current base estimates of life expectancy are slightlv higher than those assumed by the U.N. The current assumed trend involves less rapid improvemert than the U.N. trend, particularly at higher levels of life expectancy. This is partly due to the imposed maxima for life expectancy (82.5 for women and 75.8 for mcn), which are lower than those imposed by the U.N. (87.5 for women and 82.5 for men). It is also partly due to the long-run nature of these projections, which requires that gains in life expectancy be spread out ovcr a longer period of time.
# **XOXX** INTRODUCTION

Flgure 15 Assumed Total Fertiliy Trend, Less Developed Countries, and U.N. and Previous World Bank Trends <!-- Start of picture text --> 40 _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _<br>3.9<br>3.1<br>3.6 -20<br>3 4<br>3.3<br>3.2 -I9<br>3.1 -UN<br>30 #<br>2.9 1p1e<br>20<br>2.3<br>2 4<br>2.3 I4<br>IM9S- 1F95 19130 MOS MIDID05 2eos213 5 W<br><!-- End of picture text --> <!-- Start of picture text --> FIgure 17 Assumed Uffe Expectancy Trend, -<br>IX<br>Less Developed Countries, and U.N.<br>and Previous World Bank Trends<br>06IVI0S<br>69<br>66<br>65<br>04<br>63<br>UN.<br>02<br>60<br>59 I I<br>1985.90 i9W 95-I2000 2099-M W5-10 2010-15 2015.20 202-:<br><!-- End of picture text --> Figure 16 Assumed Total Fertility Trend, More Developed Countries, and U.N. and Previous World Bank Trends <!-- Start of picture text --> 2.U8 -<br>2.5 -VIOh<br>~~~~~~~~~~~~~~~~2 04<br>1-<br>1.94<br>195 195 199.205 200-05 2010 2010.15 2015-20 20:<br><!-- End of picture text -->

> Figure 18 Assumed Life Expectancy sX 0/6ffi Trend, More Developed Countries, and U.N. and Previous World Bank Trends

<!-- Start of picture text --> U N<br>38<br>75-<br>3<br>1151 99.5 i995-20 200D3-5 MID-1 2010-15 2015-20 2O012.2'<br><!-- End of picture text -->
INTRODUCTnON xxti

# _Geographic Regions and Income Groups_

Population, population growth, and vital rates for subcontinental geographic regions and for groups of countries at different income levels are shown in Tables 9-12. (These and all succeeding tables appear at the end of this introduction.) The classification by region distinguishes East, West, and North Africa; Latin America and the Caribbean from Northern America; and East and Southeast, South, and Southwest Asia (see Table 17 for the countries in each region). East and Southeast Asia, which includes China, and South Asia, which includes India, are far larger than the other regions, which each contain 100 to 400 million people. The high growth rates for Afriha as a whole apply especially to East and West Africa, which are growing at 3.1 percent a year and should have six times as many people when tleir populations become stationary. Southwest Asia and North Africa come next, with total fertility rates above 5 and high growth rates of 2.6-2.8 percent.

The classification by income (Exhibit 1) shows that 52 of the 187 countries or economies have low per capita incomes of $480 or less (in 1987 U.S. dollars). Most of these countries or economies are in Sub-Saharan Africa, South Asia, and Southeast Asia; they also include the majority of the ten largest countries in the world and contain 56 percent of world population. At the other extreme, high-income countries or economies, with per capita incomes of S6,000 or more, number 38, and contain 16 percent of world population. At present, the lowincome populations as a group are growiig by almost 60 million a year, while the high-income populations as a group are growing by only 4 million a year. By 2025, the currently low-income countries will make up 61 percent of world population, and the currently high-income countries will make up 11 percent.

The lower-middle-income countries, with per capita incomes up to $2,000, are as numerous as the low-income countries but have only 12 percent of world population. In this group are half of the Latin American and Caribbean countries and a variety of countries from every other region except South Asia. Population growth in these countries is ac..ually faster at present than in low-income countries; total fertility is slightly higher (because fertility in low-income China is so low), and mortality is lower. The 35 upper-middle-income countries, on the other hand, with 9 percent of world population, have lower fertility and are mostly on the way to slower population growth. Nevertheless, even this group of countries will still grow considerably. Their stationary populations in the aggregate are expected to be more than double their present populations.

# _World Bank Regions_

The World Bank divides borrower countries, which account for three-fourths of world population, into four regions: Africa, essentially Sub-Saharan; Asia, excluding Southwest Asia, Afghanistan, and Pakistan, but including the Pacific-, Europe, the Middle East (up to Pakistan), and North Africa (EMN); and Latin America and the Caribbean (LAC). Within regions, countries are grouped into four to six country departments, most of which include more than one country (Exhibit 2). We consider the regional populations and their growth, and then the populations covered by departments, which prove to be substantially homogeneous within regions.

The division into regions puts about half the world population in the Asia region and 8 to 10 percent of the population in each of the other regions. If China and India were excluded, the remainder of the region, at 12 perccnt of world population, would be more comparable in size to the other regions.
# XXXii INTRODUCTION

Exhlbit 1 Countries and Economies Classified by Income Group (based on GNP per capita In 1987 U.S. dollars) _Low Income ($480 or less)_ Oceania Latin America and the Caribbean Kiribati Belize East Afr;ic. Solomon Islands Bolivia Bururdi Vanuatu Chile Comoros Colombia Ethiop a Latin America and the Caribbean Costa Rica Kenya Guyana Dominica Lesotho Haiti Dominican Rep. Madagascar Ecuador Halaul El Salvador Mozambique _Lower-middle Income_ Grenada RwarSla _($481-$2,00)_ Guatemala Somalia Hnua Tanzania East Africa Jamaica Uganda Botswana Nicaragua Zaire DjiboutiNiagu Zambia Mauritius Paraguay South Africa Peru West Africa SwaziLand ~~~~~~~~~St. Kitts and Nevis BestAfica SwZilbande St. Lucia Burkina Faso Z e St. Vincent and the Grenadines Central African Rep. West Africa Chad Cameroon Equatorial Guinea Cape Verde _Upper-middle income_ Gambia, The Congo, People's Rep. of the _($2,000-$5,999)_ Ghana C6te d8lvoire Guinea Senegal East Africa Gulnea-Bissau Reunion Liberia North Africa Seychelles Mali Egypt, Arab Rep. of Hauritania Morocco West Africa Niger Tunisia Gabon Nigeria Other North Africa Other West Africa So5 Tom6 and Principe Sierra Leone Europe North Africa Togo Poland Algeria Libya North Africa Southwest Asia Sudan Gaza Strip Europe Jordan Greece Southwest Asia Lebanon Hungary Yemen, People's Dem. Rep. of - Syrian Arab Rep. Malta Turkey Portugal South Asia West Bank Romania Afghanistan Yemen Arab Rep. Yugoslavia Bangladesh Bhutan East and Southeast Asia Southwest Asia India Malaysia Cyprus Maldives Philippines Iraq Nepal Thailand Oman Pakistan Sri Lanka oceania South Asia Fiji Iran, Islamic Rep. of East and Southeast Asia other Micronesia Cambodia Pacific Islands East and Southeast Asia China (excluding Taiwan) Papua New Guinea Korea, Rep. of Indonesia Tonga Macao Lao People's Dem. Rep. Western Samoa Taiwan, China, Lao People's Dem. Rep. Hyarmiar Viet Nam
INTRODUCTION XXXiii

# Exhlbit **I** (continued)

Oceania Guam Other Polynesia Latin America and the Caribbean Antigua and Barbuda Argentina Barbados Brazil GuadeLoupe Martinique Montserrat Otbe- Latin America Panama Puerto Rico Suriname Trinidad and Tobago Uruguay Venezuela _High Income ($6,000 or more)_ Europe Austrfa Belgium Charnel Islands Dernnark Finland Norway Spain Sweden Switzerland United Kingdom Other Europe Southwest Asia Bahrain israel Kuwait Qatar Saudi Arabia United Arab Emirates East and Southeast Asia Brunei Hong Kong Japan Singapore Oceania Australia French Polynesia New Caledonia New Zealand Northern America Canada United States of America Other Northern America _Nonreporting nonmember economies_ East Africa Namibia West Africa Angola Europe Albania Bulgaria Czechosg ovakia German Dem. Rep. U.S.S.R Latin America and the Caribbean Cuba East and Southeast Asia Korea, Den. PeopLe's Rep. of MongoLia Franrce Germany, Federal Rep. of tceland Latin America and the Caribbean Bahamas Ireland Netherlands Antilles Italy Virgin Islands (U.S.) Luxembourg Netherlands
)oCiv INRODUC'TION ExhlbIt 2 Countries and Economies Classifed by World Bank Region and. Country Departments

# _Africa Region (Sub-Saharan)_

## Nonborrowers

Oceania Occidental and Central Africa Department (AFI) Benin Cameroon Central African Rep. Congo, People's Rep. of the CWte dllvoire Equatorial Guinea Gabon Gui rtaa T4oa E.jatern Africa Department (AF2) Ethiopia Xenya hsuritius Somalia Sudan Uganda South-Central end !ndian Ocean Department (AF3) Burundi Comoros Djibouti Madagascar Rwanda Seychelles Zaire Western Africa Department (AF4) Ghana Guinea-Bissau Liberia Nigeria Sao Tom6 and Principe Sierra Leone Sahelian Department (AF5) Burkina Faso Cape Verde Chad Gambia, The Mali Mauritania Niger Senegal Southern Africa Department (AF6) Botswana Lesotho Halawi Mozambique Swaziland Tanzania Zambia Zimbabwe Sub-Saharan Africa Angola Namibia Reunion South Africa Other West Africa

# _Asia Region (and Oceania)_

Country Department I Bangladesh Bhutan Nepal Sri Lanka Country Department 11 Cambodia Korea, Rep. of Lao People's Den. Rep. Malaysia Myarnar Philippines Thailand Viet Nam Country Department III China (excluding Taiwan) Country Department IV India Country Department V Fiji Indonesia Kiribati Maldives Papua New Guinea Solomon Islands Tonga Vanuatu WUstern Samoa

## Nonborrowers

East and Southeast Asia Brunei Hong Kong Japan Korea, Dem. People's Rep. of Macao Mongolia Singapore Taiwan, China Australia French Polynesia Guam New Caledonia New ZeaLand Pacific Islands Other Micronesia Other Polynesia _Europe, Middle East, and Nornh Africa (EMN) Region (and U.S.S.R.)_ Country Department I PakistrDean ten Pakistan Country Department 11 Algeria Libya Malta Morocco Tunisia Country Department III Afghanistan Bahrain Egypt, Arab Rep. of Iran, Islamic Rep. of Iraq Jordan Kuwait Lebanon Oman West Bank Qatar Saudi Arabia Syria United Arab Emirates Yemen Arab Rep. Yemen People s Dem. Rep. of Country Department IV Cyprus Hungary Poland Portugal Romania Yugoslavia
INTRODUCTION XXXV

# ExhlbIt 2 (continued)

Ncnborrowers _Latin Amedca and the Coadbbean (LAC) Region_ Other North Africa _(and Northem Ajn4em ca)_ Southwest Asia Country Department I Gaza strip Brazit Israel

## Ncnborrowers

Coj.-itry Department 11 Costs Rica EL ; lvodor Guatemala Honduras Mexico Nicaragua Panma Europe and U.S.S.R. Albania Austria Bektgia Bulgaria Channel Islands Czechoslovakia Denm rk Country Department III Antigua wnd Barbuda Bahamas FinLand France German Dem. Rep. German. Federal Rep. of Greece Barbados Belize Bolivia CoLowbia Dominica Dominican Rep. Grenada Guyana Icelwnd Ireland Italy Dominica Luxefbourg Dominican Rep. Netherlands Grenada _NorwaY_ Guyana Spain Haiti Sweden Jamaica Switzerland Montserrat United Kingdom St. Kitts and Wevis Other Europe St. Lucia St. Vincent and the Grenadines Trinidad and Tobago Venezuela Country Department IV Argentina Chile Ecuador Paraguay Peru Uruguay

## Nonborrowers

Latin America and the Caribbean Cuba Guadeloupe Martinique Netherlands Antilles Virgin Islands (U.S.) Other Latin America Northern America Canada Puerto Rico United States of America Other Northern America U.S.S.R.
## XOOVi INTRODUCTION

The relative contributions of the regions to world populatipn growth are shown in Figure 19 (see also Tables 13-15). The Asia region is now contributing half of world population growth, and the other three regions are each contributing 10 to 16 percent. The contribution to growth of the Asia region is projected to decline relative to the contributions of other regions: around 2030 it will actually fall below the contribution of the Africa region, and around 2060 below the contribution of the EMN region.

The contributions of both these regions are projected to rise rapidly, even with expected fertility transition in all their countries. Around 2075, the Africa region will havc only a fifth of world population, but will be responsible for more population growth than all the rest of the world. The EMN region will have 15 percent of world population, but will be responsible for a quarter of the growth. Even with fertility decline taken into account, the Africa region will double in size in 23 years, the EMN region (despite including some countries of Eastern and Southern Europe) in 32 years.

Population growth in the LAC region is not insignificant either. This region is growing faster than the Asia region and has marginally higher population momentum than any other region. Even sho:ld the LAC region attain replacement fertility immediately, population would still grow 60 percent because of the young age structure.

The country departments generally have growth prospects similar to those of the regions to which they belong. The departments covering the largest populations are thL singlecountry China and India departments and the Southeast Asia department, the latter covering 270 million people. The remaining departments each cover between 40 and 170 million people. By 2025, these other departments, assuming they will still exist in the same form, will each cover between 110 and 460 million people. Annual population growth rates for the entire 1985-2025 period will be between 2.6 and 2.8 percent in all the Africa departments; between 2.2 and 2.4 percent in three of the four EMN departments, excluding the Europe department; between 1.3 and 1.6 percent in all the LAC departments; and 1.4 percent in three of the five Asia departments, China being lower at 1.0 percent and Other South Asia (excluding India) higher at 1.9 percent.

These differences between regions and similarities within them are mainly rooted in fertility patterns (Table 16). Total fertility is between 6.4 and 6.7 in each Africa department; between 5.2 and 5.8 in three of the four EMN departments; between 3.4 and 3.9 in each LAC department; and more variable only in the Asia region, where it ranges from 2.4 to _5.2_ across departments. Mortality patterns are also quite similar among departments in each region. Infant mortality per thousand is over 100 in each Africa department; between 70 and 100 in three of the four EMN departments; bettween 50 and 65 in each LAC department; and more variable oniy in the Asia region, where it ranges from 30 to 110. Projected trends will introduce only slight!y more heterogeneity withir, regions: the Sahelian department, for instance, is expected to lag behind other Africa departments in both mortality and fertility decline.

Much more heterogeneity does exist among countries in particular regions. However, the similarities across the occasionally arbitrary groupings of countries that form departments suggest that underlying demographic regimes may be broadly shared within regions, with country variations reflecting haphazard influences that distort these regimes in different dircctions.

# _Some Country Results_

Countries and economies provide a much more complex demographic mosaic than these regions, and a detailed account of their projected demographic future will not bc given here. Instead, we focus on some highlights that emerge when countries are contrasted on population
INTRODUCTION XXXVii Figure 19 Percentage Contribution to World Population Growthtrrom World Bank Regions and Nonborrowers, 1985.2100 <!-- Start of picture text --> 50<br>40 -<br>30 AF<br>10<br>1985 2000 2015 2030 2045 2060 2075 2090<br><!-- End of picture text --> growth (Tables 17 and 18), age structure (Table 19), and vital rates.

China is the most populous country or economy, and remains so in these projections almost until the end, not quite 200 years in the future. Rankings by size among other large countries will be changing well before that point. Nigeria and Pakistan, in particular, will be moving up, from ninth-tenth today to seventh-eight by the turn of the century and to fifth-sixth by 2025. Japan will fall out of the group of ten largest countries, and by 2025 will have fewer people than Mexico, Iran, or Viet Nam.

India presently contributes more to world population growth than China or any other country, and will continue to do so throughout the projection period. After India and China, the leading contributors to world population growth are Pakistan and Nigeria. At the other extreme, the Federal Republic of C;ermany is contracting by 100,000 people a year. Even recent mass migrations from the German Democratic Republic--which occurred too recently to be incorporated in these estimates--are unlikely to produce substantial population growth. Hungary is also losing population, but only a fifth as much as the Federal Republic of Germany.

Despite contributing so much to growth, none of the large countries is growing as fast as some states in the Persian Gulf and in Sub-Saharan Africa. In the Gulf, Qatar and Oman are growing by more than 4 percent a year, and Saudi Arabia, Djibouti, and Kuwait by more than 3.7 percent. In Africa, C6te d'Ivoire and Kenya are growing by more than 4 percent, and Zambia by about 3.7 percent.

Rapid growth partly accounts for Kenya having a dependency ratio as high as 120, well above any other national ratio. Other countries with. ratios above 104 (other than small islands) are Botswana, the Yemen Arab Republic, and Zambia. By contrast, exceptionally low dependency ratios, indicating relatively large working-age populations, characterize. such vigorous
## X)OCVii INTRODUCTION

economies as Singapore (the lowest at 42), the Federal Republic of Germany, Hong Kong, and Japan. This is projected to change: by 2025, all these low-dependency countries will have only middling dependency ratios, as their aged populations increase relative to those of working age. The highest proportions of the aged are currently in Sweden, Norway, the United Kingdom, and Denmark, where dependency ratios are at least 10 points higher than in Singapore.

The countries with most rapid growth are also among those with the highest fertility levels. Total fertility is above 7.2 in Rwanda, the Yemen Arab Republic, Kenya, Malawi, and Cote d'Ivoire, and just below this level in Saudi Arabia and Oman. At the other end are some European countries now reporting very low fertility, chief among them Italy and the Federal Republic of Germany.

The shortest life expectancies, barely 40 years, are estimated for Afghanistan and in West Africa, particularly for Guinea-Bissau, Sierra Leone, Guinea, and the Gambia. Other West African countries follow close behind. At the other end of the scale, life expectancies in Japan, France, and Iceland are almost twice as long.

# _Conclusion_

Increasing numbers of people continue to be added to world population every year. To the 5.1 billion people in mid-1988, about 90 million were added within a year, and about 91 million more are expected *.o be added by mid-1990. A few developing countries have demonstrated that fairly rapid fertility decline is possible; others have exhibited gradual, long-term fertility decline. Nevertheless, the resulting lower population growth rates have not compensated for the steadily enlarging population base. The world will enter the next century with at least a billion more people than today, and will add another bilion in the following decade.

Regions and individual countries do face different demographic prospects. For SubSaharan Africa, and even more for particular countries in the region, the likelihood of population doubling within 25 years, within the span of a generation, is sobering for anyone attempting to deal with societal problems. By the middle of the next century, the region could be more than four times its current size.

For the large countries of Asia, the numbers of people being added each year are so large as to be difficult to visualize. India adds to its popul&tion every year as many people as live in Nepal or Australia, while the annual increase in Pakistan is equivalent to one-and-a-half Singapores.

The situation for the Middle East and North Africa may appear on the surface less immediately alarming. Nevertheless, the region contains some of the fastest growing populations in the world, and eventually is likely to outstrip Asia in the number of people added each year.

Latin American and Caribbean countries are more advanced in demographic transition than Africa or South Asia. Nevertheless, 2 percent annual growth is not quite over for the region, and certainly not for particular countries. The legacy of past rapid growth, in young age structures, provides considerable momentum for further growth.

The more developed regions do not face problems of rapid growth, but they do face other demographic dilemmas. Only a few are actually experiencing population decline, but most will experience further aging of the population and rising dependency burdens.

Like all projections, these varied prospects depend on the assumptions that have been
INTRODUCTION XXXiX made, which were specified above. The assumed trends in vital rates partly reflect the efferts that have been made throughout the developing world to restrain fertility, as well as to redulce mortality, in effect actually taicng into account some exceptional past experiences at reducing growth. Altering these trends and producing more rapid deceleration of population grouth is possible, bu!t would probably require at least as much, and probably much more, demographic intervention as in the recent past.

# REFERENCES

- Arnold, Fred. 1989. Revised estimates an.i projections of international migration. Policy, Planning, and Researchi Workipg Papers, No. 275. Washington, D.C.: World Bank.

- Bos, Eduard, and Rodolfo A. Bulatao. 1989. Proqjcting fertility for all countries. Policy, Planning, and Research Working Papers. Washington, D.C.: World Bank. Forthcoming.

- Blum, Alain, and Roland Pressat. 1987. Une nouvelle table de mortalite pour l'URSS (19841985). _Population_ 42(6):843-862.

- Bulatao, Rodolfo A., and Eduard Bos. 1989. Projecting mortality for all countries. Policy, Planning, and Research Working Papers. Washington, D.C.: World Bank. Forthcoming.

- Bulatao, Rodolfo A., and Ann Elwan. 1985. Fertility and mortality transition: Patterns, projections, and interdependence. Wo:td Bank Staff Working Paper No. 681. Washington, D.C.

- Coale, Ansley J., and Paul Demeny (with Barbara Vaughn). 1983. _Regional Model Life Tables and Stabk Populadons._ 2nd ed. New York: Academic Press.

- Eurostat. 1987. _Demographic Statisdcs._ Luxembourg: Statistical Office of the European Communities.

- Hill, Kenneth. n.d. ProjPC-II: User's manual. Washington, D.C.: World Bank.

- Jamison, Ellen, Peter D. Johnson, and Richard A. Engels. 1987. World Population Profile: 1987. Washington, D.C.; Bureau of the Census, U.S. Department of zmmerce.

- Monnier, Alain. 1988. *La conjoncture dezmographique: L'Europe et les pays d6velopp6s d'outremner," _Population_ 43(4-5):893-904.

- United Nations. Department of International Economic and Social Affairs. 1984. _Population end Vital Stadstics Report: 1984 Special Supplement._ New York: United Nations.

- United Nations. Department of International Economic and Social Affairs. 1989. _World Population Prospects 1988._ New York: United Nations.

- United Nations. Department of International Economic and Social Affairs. Various years. _Demographic Yearbook_ New York: United Nations.

- United Nations. Department of International Economic and Social Affairs. Various years. _Population and Vital Statistis Report._ New York: United Nations.

- U.S. Bureau of the Census. 1983. _World Populadon 1983--Recent Demographic Estimates for the Countries and Regions of the World._ Washington, D.C.

- U.S. Bureau of the Census. 1985. _World Population: Recent Demographic Esdnmates for the Countries and Regions of the World._ Washington, D.C.

- World BankL 1989. _World Development Report 1989._ New York: Oxford University Press. Zachariah, K C., and My T. Vu. 1988. _World Population Projections: 1987.88 Edition._ Baltimore and Lendon: The Johns Hopkins University Press.
xl INROoUCnON

# APPENDIX: SOURCES

|Country,<br>|Last Dul|ii" e1cnw<br>PDli|||
|---|---|---|---|---|
|economy, or<br>territory|Date|ou;uton<br>(1000)*|Total population.<br>mid-1985|Total fertility,<br>1985-90|
|Afghanistan|Jun 79|13051F|Bank pro;ection<br>from census, inc.<br>refugeesassumed absent temporaril|U.N. 1989 (prelim.<br>version)<br>y|
|Albania|Oct 60|1626 F|UNPVSR 7/86 (official<br>est.)|Based onUNPVSR_10/88_(officiat<br>est.)|
|Algeria|Apr 87|_22971_J|UNPVSR<br>4/87(official<br>est.)|Bank sector report<br>6/88|
|American<br>Samoa|Apr 80|32 .i|fasedon UNPVSR<br>1/88|-|
|Andorra|Nov54|6 F|USBOC<br>1983|--|
|**Angola**|Dec_7m_|5646F|U.N. 1989 (prelim. version)|U.N. 1989 (prelim.<br>version)|
|Anguilla<br>|-|--<br>-|UNPVSR 1/87|--|
|Antiguaand<br>Barbuda|Apr 70|66 F|UNPVSR<br>7/86(official<br>est.)|Bas'J on-official<br>CBR|
|Argentina|Oct 80|27947F|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|
|Aruba|Feb 81|60 J|Based on UNPVSR 1987-89|--|
|Australia|Jun 81|14576 F|UNPVSR4/87 (official<br>est.)|Based on UNPVSR<br>10/88 (official<br>est.)|
|||||and U.N. 1989 (prctim. version)|
|Austria|May 81|7555 J|UNPVSR 7/86 (official<br>est.)|<br>Honnier 1988|
|Bahamas|may 80|223F|UNDY 1986|Based on UNPVSR 4/87 (official<br>est.)|
|Bahrain|Apr81|351F|Official<br>est., Central Statistics|U.N. 1989 .prelim.<br>version)|
||||Organization,<br>10/89||
|Bangladesh|Mar 81|87120 F|U.N. 1989 (prelim.version)|U.N. 1989(prelim.<br>version)|
|Barbados|May 80|252F|UNPVSR 7/86 (official<br>est.)|Based on UNPVSR 10/88(official<br>est.)|
|Beigiurs|Mar 81|9849 J|BasedonEurostat 1987|U.N. 1989 (prelim.<br>version)|
|**Belize**|May 80|143F|UNPVSR 7/86 (official<br>c..t.)|Based on USBOC 1985|
|Benin|Har79|3331F|Bank projection<br>from census|Bank assessmnent<br>of 1961 survey and WFS|
|Benmida|May 80|68 F|UNPVSR 1/87 (official<br>est.)||
|Bhutan|Dec 69|1035 F|Based on 1980 and 1986 official<br>est.|U.N. 1989 (pretim.<br>version)|
|Bolivia|Sep 76|4613 F|U.N. 1989 (prelim. version)|U.N. 1989 (prelim.<br>version)|
|Botswana|Aug 81|941 F|Bank projection<br>from 1981 census|DHS 1988|
|Brazil|Sep 80|121149F|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|
|British Virgin<br>Islands|May 80|12 F|UNPVSR 1/87 (official<br>est.)|--|
|Brunei|Aug 81|193 F|Based on 1981 census|Based on UNPVSR 10/88|
||||and 1986 official<br>est.|(official<br>est.)|
|Butgaria|Dec 85|8948 F|UNPVSR<br>3/87 (official<br>est.)|U.N. 1989 (prelim.<br>version)|
|Burkina<br>Faso|Dec 85|7747 F|aased on 1985 census|U.N. 1989 (prelim.<br>version)|
|Burundi|Aug 79|4028F|Bank projection<br>from census|DHS 1987|
|Cambodia|Apr 62|5729 F|U.N.1989 (prelim.<br>version)|U.N. 1989 (preLim.<br>versirn)|
|Cameroon|Apr 76|7090 F|Bank projection<br>from census|Based onWFS|
||||adjusted<br>for 7.4% undercount||
|Canada|Jun 86|25309J|UNPVSR 7/86 (official<br>est.)|Official<br>est.. Population<br>Projections|
|||||for Canada, 1984-2006|
|Cape Verde|Jun 80|289 F|UNPVSR<br>7/89 (official<br>est.)|Bank assessment|
|Cayman Islands|Oct 89|17F|UNPVSR 1/88 (officiat<br>est.)||
|Central<br>African|Dec 75|2055 F|Bank projection<br>from 1975 census|Bank est.|
|Rep.|||adjusted<br>for 11.3% undercount||
|Chad|Dec 63|3254F|U.N.1989 (prelim.<br>version)<br>.|U.N. 1989 (prelim.<br>version)|
|Channel Islands|Mar 86|135 F|Based on 1981 and 1986 censuses|Basedon UNPVSR 10/88 (official<br>est.)|
INTRODUCTION Xli

# OF POPULATION DATA

|Life expectancy.<br>1985-90|Infant<br>mortality,<br>1985-90|Age-sex structure,<br>mid-1985|Country,<br>economy,<br>or<br>territory|
|---|---|---|---|
|Bank est.|U.N. 1989 (prelim.<br>version)|Bank assessment|Afghanistan|
|U.N. 1989 (prelim.<br>version)<br> <br>|U.N. 1989 (prelim.<br>version)<br>1 li<br>'i|U.N. 1989 (prelim.<br>version)<br>UN 1989 (li<br>version)|Albania<br>Aleria|
|U.N. 1989 (prelim.<br>version)|U.N. 989 (prem.<br>veron)<br>|.. prem.<br>|g<br> <br>|
||*--|--|American<br>Samoa<br>|
|||.<br>-<br>--<br>-<br> <br>|Andorra<br>|
|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|Angola<br>Aill|
||--|--<br>.<br>|ngua<br>|
|Based on official<br>CMR|UNPVSR (official<br>est.)|UNDY 1978<br> <br>|Antigua and<br>Barbuda<br>|
|U.N. 1989 (preLim.<br>version)<br>.<br> <br>|U.N. 1989 (prelim.<br>version)<br>-<br> <br>|U.N. 1989 (prelim.<br>version)<br>.<br>--<br> <br>|Argentina<br>Aruba<br>|
|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|Australia|
|U.N. 1989 (prellm.<br>version)<br> <br>|UNPVSR 10/88 (officiaL<br>est.)<br> <br>|U.N. 1989 (prelim.<br>version)<br>|A.ustria<br>|
|Based on UNPVSR 4/87 (ofilcial<br>est<br>|.) UNPVSR 10/88 (official<br>est.)<br> <br>|Based on UNDY 1986<br> <br>|Bahamas<br>|
|U.N. 1989 (prelim.<br>version)|U.K. 19Vo (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|Bahrain|
|U.N. 1989 (prelim.<br>version)<br>Based on UNPVSR 10/88<br>(official<br>est.)|U.N. 1989 (prelim.<br>version)<br>Based on official<br>[NR<br>|U.N. 1989 (preLim.<br>version)<br>Bank est.<br> <br>|Bangladesh<br>Barbados<br>|
|U.N.1989 (preLim.<br>version)<br>|UNPVSR 10/88 (official<br>est.)<br>|U.N. 1989 (prelim.<br>version)<br>|Belgiur.<br>|
|Based on USBOC 1985<br>|Based on USBOC 1985<br>|Based on UNDY 1978<br>|Belize<br>|
|Bank assessment of qj fromUFS<br> <br>|Bank assessment ofqkfrom UFS<br>|Based on 1979 census<br> <br>|Benin<br>Bermuda<br>|
|U.N. 1989 (prelim.<br>version)<br>|U.N. 1989 (prelim. version)<br> <br>|U.N. 1989(prelim.<br>version)<br>|Bhutan<br>Rlii|
|U.N. 1989 (prelim. version)<br>|U.N. 1989 (prelim.<br>version)<br>|U.N. 1989 (prelim. version)<br>|ova<br>|
|DHS1988<br>|DHS1988<br>|Bank assessment<br> <br>|Botswana<br>|
|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim. version)|U.N. 1989 (prelim.<br>version)|Brazil<br> <br>|
|||-.<br>|British<br>Virgin<br>Islands<br>|
|Bank est.|Bank.est.|Bank est.|3rurei|
|U.N. 1989 (prelim.<br>version)<br>|UNPVSR<br>10/88 (official<br>est.)<br>|U.N. 1989(prelim.<br>version)<br>|Bulgaria<br>|
|U.N. 1989 (preLim. version)|U.N. 1989 (prelim. version)<br> <br>|Bank assessment<br>|Burkina Faso<br>|
|Bank assessment<br> <br>|U.N. 1989 (prelim.<br>version)<br> <br>|Bank est.<br>|Burundi<br>|
|U.N.1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)<br>|Bank est.<br>|Cambodia<br>|
|Bank assessment<br>of ob frmn,<br>WFS|U.N. 1989 (prelim. version)|Based on 1976 census|Cameroon|
|Official<br>est., Pop. Projections<br>for Canada,<br>1984-2006|<br>UNPVSR 10/88 (official<br>est.)|Official<br>est., Pop. Projection<br>for Canada, 1984-2006|s Canada<br>|
|Based on official<br>CDR|U.N. 1989 (prelim.<br>version)|Bank est.|Cape Verde<br>|
||<br>||Cayman Islands<br>|
|Bank assessment<br>of qb from|U.N. 1989 (prelim.<br>version)|Bank assessment|Central African<br>Re|
|census|||p.<br>|
|U.N. 1989(prelim.<br>versicn)<br>|U.N. 1989 (prelim.<br>version)<br> <br>|Bank.assessment<br>|Chad<br>Chl Ild|
|Pased on UNPVSR 10/88<br>(official<br>est.)|UNPVSR10/88 (official<br>est.)|UNDY 1981|anne sans|
# Xlit INTRODUCnON

# Appendix (continued)

|Country,<br>economy, or<br>|Last oubtis|hed census<br>Population|||
|---|---|---|---|---|
|territory|Date|(1000) *|Total poputation, mid-1985|Total fertility,<br>1985-90|
|Chile<br>|Apr82<br>|11330 F<br>|U.N. 1989 (prelim.<br>version)<br> <br>|U.N. 1989 (prelim.<br>version)|
|China (excl.<br>Taiwan)<br>|Jul72<br>|1031883 F<br>|Bank projection<br>from Bank report<br>report 3/88<br>|Based on CBR from 1987 survey|
|Colombia<br>|Oct 85<br>|27838 J<br>|Based on official<br>data<br> <br>|Based on official<br>data|
|Comoros|Sep 80|386 F|Bank projection<br>from census, excl.<br>Mtt 4|Bank sector report|
|'|||ayoe (pop 50.7 thousand)<br> <br>||
|Congo, Peoples<br>Rep. of the<br>|Dec 84<br>|1843 F<br>|Bank projection<br>from 1984 census<br> <br>|Bank est.|
|Cook Islands<br>|De-, 86<br>|17 F<br>|UNPVSR<br>4/87 (offical<br>est.)<br> <br> <br>||
|Costa Rica<br>|Nov 84<br>|2417 J<br>|Official<br>est.,<br>Direcci6n General<br>de Estadistica y Censos|U.N. 1989 (prelim.<br>version)|
|C6ted'Ivoire<br>Cb|Apr 75<br>|6709 F<br>|U.N. 1989 (prelim.<br>version)<br> <br> <br>|U.N. 1989 (prelim. version)<br> <br>|
|ua|Sep 81|9724 F|UNPVSR<br>10/86 (official<br>est.1|Based on UNPVSR<br>10/88 (officiat<br>est.)|
|Cyprus<br>|Sep 76<br>|613 J<br>|Based on UNPVSR<br>4/d7 (official<br>est.)<br>|U.N. 1989 (prelim.<br>version)|
|Czechoslovakia<br>|Nov80<br>|15283 F<br>|U.N. 1989 (prelim. version)<br>|U.N. 1989 (prelim.<br>version)|
|Denmark<br>|Jan81<br>|5123 J<br>|UNPVSR<br>7/86 (official<br>est.)<br>|U.N. 1989 (prelim.<br>version)|
|Djibouti<br>|60-61<br>|81 F<br>|U.N. 1989 (prelim. version)<br> <br> <br>|U.N. 1989 (prelim.<br>version)<br>|
|Dominica<br>|Apr 81<br>|74F<br>|Bank projection<br>from official<br>1978-<br>83est..<br>Ministry of Health 10/84<br>|Based on UNPVSR<br>10/88 (official<br>est.)|
|Dominican Rep.<br>|Dec 81<br>|5648 F<br>|U.N. 1989 (prelim. version)<br>|U.N. 1989 (prelim.<br>version)|
|Ecuador<br>|Nov82<br>|8061 F<br>|U.N. 1989 (prelim.<br>version)<br>|DHS 1987|
|Egypt<br>|Nov 86<br>|48205 F<br>|U.N. 1989 (preliim. version)<br>|Based on 4/89 DHS prelim.<br>result<br>|
|El Salvador<br>|Jun 71<br>|3555 F<br>|U.N. 1989 (pretim. version)<br>|U.N. 1989 (prelim. version)|
|Equatorial<br>|Jul 83|300 F|Bank projection<br>from census<br>|Bank est.|
|Guinea<br>|||and 1982 household listing<br>||
|Ethiopia|Sep 84|42169 F|U.N. 1989 (prelim.<br>version)|Bank assessment of U.N. data,|
||||<br>|with correction<br>for 1984 famine|
|Faeroe Isltds<br>|Sep 77<br>|42 J<br>|UNPVSR<br>1/87 (official<br>est.)<br> <br>||
|Falkland Islands<br>|Dec 80<br>|2 F<br>|UNPVSR<br>1/87 (official<br>est.)<br>||
|Fiji<br>|Aug 86<br>|715 F<br>|Based on 1986 census<br> <br> <br>|USBOC 987|
|Finland|Nov 85|4911 .1|UNPVSR<br>7/86 (official<br>est.)|Based on UNPVSR<br>10/88 (official<br>est.)|
|France<br>|Par82<br>|54335 F<br>|Based on Eurostat 1987<br> <br>|Monnier 1988|
|French Guiana<br>|Mar82<br>|73J<br>|UNPVSR<br>1/87<br> <br> <br>||
|French Polynesia<br>|Oct 83<br>|167F<br>|UNPVSR<br>10/88 (official<br>est.)<br> <br>|USB0C 1987|
|Gabon<br>|Oct 60<br>|49F<br>|Bank projection<br>from census<br>|Bank est.|
|Ganrbia, The<br>|Apr 83<br>|688 F<br>|Bank projection<br>from census<br>|Bank est.|
|Gaza Strip<br>|Sep 67<br>|356 F<br>|U.N. 1989 (prelim. version)<br>|Bank est.|
|Germany, Federal<br>|May 87|61028 J|Based on Eurostat 1987|Monnier 1988|
|Rep. of<br>|||||
|German Dem. Rep.<br>|Dec 81<br>|16706 J<br>|UNPVSR<br>7/86 (official<br>est.)<br>|Based on CBR|
|Ghana<br>|Mar84|12296 F|Official<br>est.|DNS 1988|
|Gibraltar<br>|Nov 81<br>|30 F<br>|UNPVSR<br>1/87<br> <br>||
|Greece<br>|Apr 81<br>|9740 F<br>|UNPVSR<br>7/86 (official<br>est.)<br> <br>|U.N. 1989 (prelim.<br>version)|
|Greenland<br>|Oct 76<br>|50 J<br>|UNPVSR<br>1/87<br> <br>||
|Grenada|May 81|89 F|Bank projection<br>from official|Based on official<br>1980-85 est.|
||||<br>1983 est..<br>Ministry of Finance|,<br>Ministry of Finance|
INTRODUCTION xliii

|Life expectancy, 1985-90|Infant mortatity,<br>198M-90|Age-sex structure,<br>mid-1985|Country,<br>economy, or<br>territory|
|---|---|---|---|
|U.N. 1989 (prelim.<br>version)<br>Based on Bank report 3/88|U.N.1989 (prelim. version)<br>U.N. 1989 (preLim.<br>version)|U.N. 1989 (prelim.<br>version)<br>Bankassessment|Chile<br>China (exel.<br>Taiwan)|
|Based on official<br>data<br>|U.N. 1989 (prelim.<br>version)|U.N. 1989 (pretim.<br>version)|Colombia|
|Bank assessment|U.N. 1989 (prelim.<br>version)|Bank est.|Comoros|
|Bank est.|U.N. 1989 (prelim.<br>veruion)|Bankassessment|Congo, People's<br>Rep. of the|
|||-.<br>*|CookIstands|
|U.N. 1989 (prelim.<br>version)|U.N. 1989 (preLim.<br>version)|U.N. 1989 (prelim.<br>version)|Costa Rica|
|U.N. 1989 (preLim.<br>version)<br> <br>|U.N. 1989 (prelim.<br>version)<br> <br>|Bank assessment|CMte dllvoire|
|Based on UNPVSR<br>10/88<br>(officiat<br>est.)|UNPVSR<br>10/88 (officiaL<br>est.)|U.N. 1989 (prelim.<br>version)|Cuba|
|U.N. 1989 (prelim.<br>version)<br> <br>|U.N. 1989 (prelim.<br>version)<br> <br>|Bank est.|Cyprus|
|U.N. 1989 (prelim.<br>version)|UNPVSR 10/88(official<br>est.)|U.N. 1989 (prelim.<br>version)|Czechoslovakia|
|U.N. 1989 (prelim.<br>version)|UNPVSR 10/88 (official<br>est.)|U.N. 1989 (prelim.<br>version)|Denmark|
|U.N. 1989 (prelim.<br>version)<br>Based on UNPVSR 10/88<br> <br>|U.N. 1989 (prelim.<br>version)<br>Based on UNPVSR10/88<br> <br>|U.N. 1989 (pretim.<br>version)<br>UNDY 1970|Djibouti<br>Dominica|
|(official<br>est.)|(official<br>est.)|||
|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|Dominican<br>Rep.|
|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|Ecuador|
|U.N. 1989 (preLim.<br>version)|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|Egypt|
|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|El Salvador|
|Bank est.|U.N. 1989 (prelim.<br>version)|Bank est.|Equatorial<br>Guinea|
|Bank sector report,<br>which<br> <br>|U.N. 1989 (prelim.<br>version)|Bank assessment|Ethiopia|
|corrected<br>for 1984 famine||||
||||Faeroe Islands|
||||Falkland Islands|
|U.N. 1989 (prelim.<br>version)|USBOC 1987|U.N. 1989 (prelim.<br>version)|Fiji|
|Based on UNPVSR 10/88<br>(official<br>est.)<br>|Homnier<br>1988<br>|U.N. 1989 (prelim.<br>version)|Finland|
|Homier 1988|UNPVSR 10/88 (official<br>est.)|U.N. 1989 (prelim.<br>version)|France|
|--<br>||--<br>..|French Guiana|
|USBOC 1987<br>|USB0C 1987<br>|Bank est.<br>|French Polynesia<br>|
|Bank est.<br>|U.N.1989 (prelim. version)<br> <br>|Bank assessment|Gabon|
|Bank est.|U.N. 1989 (prelim.<br>version)|Bank assessment|Gambia, The|
|USBOC 1987|USB0C 1987|Bank est.|Gaza Strip|
|U.N. 1989 (prelim.<br>version)|Homier 1988|U.N. 1989 (pretim.<br>version)|Germany, Federal<br>Rep. of|
|U.N. 1989 (prelin.<br>version)<br> <br>|UNPVSR 10;88 (offic2il<br>est.)|U.N. 1989 (prelim.<br>version)|German Dem. Rep.|
|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|Bank assessment|Ghana|
||||Gibraltor|
|Based on Eurostat<br>1987|UNPVSR 10/88 (official<br>est.)|U.N. 1989 (prelim.<br>version)|Greece<br>|
||||Greenland|
|Based official<br>1980-85<br>est.,|Bank projection|Bank est.|Grenada|
|<br>ministry<br>of Finance||||
## XliV INTRODUCnON

# Appendix (continued)

|Country,<br>|Last oubtl|ished<br>census<br>|||
|---|---|---|---|---|
|economy,<br>or||Population||<br>|
|territory|Date|(1000)<br>*|Total population,<br>mid-1985|Total fertiLity,<br>1985-90|
|Guadeloupe|Mar 82|327 J<br>|U.N. 1989 (prelim.<br>version)<br>|U.N. 1989 (prelim.<br>version)<br>|
|Guam|Apr 80<br>|1I0 J<br>|USBOC 1987<br> <br>|USBOC 1987<br> <br>|
|Guatemala<br>|Mar 81<br>|6054 J<br>|U.N. 1989 (prelim.<br>version)<br> <br>|U.N. 1989 (prelim.<br>version)<br> <br>|
|Guinea<br>|Feb 83<br>|4533F<br>|Ban* projection<br>from census<br> <br>|U.N. 1989 (prelim.<br>version)<br>|
|Guinea-Bissau|Apr 89|753 F|Bank projection<br>from census<br> <br>|Sank est.<br> <br>|
|Guyana|May 80<br>|759 F<br>|UNPVSR 10/88 (official<br>est.)<br> <br>|Based on official<br>CBR<br> <br>|
|Haiti|Aug 82<br>|5054 J<br>|U.N. 1989 (prelim.<br>version)<br> <br>|U.N. 1989 (prelim.<br>version)|
|Holv See<br>|Apr 48<br>|1 F<br>|UNPVSR 1/87 (official<br>est.)<br> <br>|<br>|
|Honduras|Mar 74<br>|2657J<br>|U.N. 1989 (prelim.<br>version)<br> <br>|U.N. 198S (prelim.<br>version)<br> <br>|
|Hong Kong|Mar 86|5396 F<br>|U.N. 1989 (preLim.<br>version)<br> <br>|U.N. 1989 (prelim.<br>version)<br>|
|Hungary<br>|Jan 80<br>|10709 F<br>|Official<br>est., Pocket Book, Hungary<br> <br>ffiil<br>|Honnier 1988<br>UN 1989 (li<br>ve-sion)|
|IceLand|Dec 70|205 J|UNPVSR<br>7/86 (oca<br>est.)|.. prem.<br>|
|India|Mar 81|685185 F|Bank projection<br>from<br>|USBOC 1987|
||||adjusted 1981 census<br>|<br>|
|Indonesia|Oct 80|147490<br>F|Official<br>est., Biro<br> <br>|Based on Contraceptive<br>Prevalence<br>OHS 1987|
||||Pusat Statistik<br>1/88<br> <br>|Survey ()<br> <br>|
|Iran, IsLamic<br>Rep. of|Sep 86<br>|49445F|UNPVSR 4/87 (official<br>est.)|U.N. 1989 (prelim.<br>version)<br> <br>|
|Iraq|Oct87<br>|16278 F<br>|U.N. 1989 (prelim.<br>version)<br>|U.N. 1989 (prelim.<br>vwrsion)<br>|
|Iretand|Apr 86<br>|3541 F<br>|Based on 1981 and 1986 censuses<br>|Based on Eurostat 1987|
|Iste of Man|Apr 86|62 J|USBOC 1985<br> <br>|<br>|
|tsrael|Jun 83|4038 J|U.N. 1989 (prelim.<br>version)<br> <br>|U.N. 1989 (prelim.<br>version)<br>|
|ltaLy<br>|Oct 81<br>|56557 F<br>|Based on Eurostat<br>1987<br> <br>|Based on Eurostat 1987<br> <br>|
|Jamaica<br>|Jun 82<br>Ot 85|2206 F<br>121049<br>F|U.N. 1989 (prelim.<br>version)<br>UNPVSR 4/87 (official<br>est)|U.N. 1989 (prelim.<br>version)<br>UN 1989 (prelim<br>version)|
|Japan|c|<br>|<br>.<br> <br>|.. .<br><br>|
|Johnston<br>Island|Apr 70|1 F|Based on UNPVSR 7/89 (official<br>est.)|--<br>|
|Jordan|Nov 79<br>|2100 F<br>|U.N. 1989 (prelim.<br>version)<br> <br>|Bank est.<br> <br>|
|Kenya|Aug 79|15327 F|U.N. 1989 (prelim.<br>version)|Projected<br>iron 1980-85 Bank est.<br>bd i til|
||||<br>|ase on varous naona surveys<br>|
|Kiribati<br>|May 85<br>|64F<br>|UNPVSR 1/88 (official<br>est.)<br> <br>|USBOC 1987<br> <br>|
|Korea, People's<br>Dem. Rep. of|May44|a-F|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)<br>|
|Korea, Rep. of|Nov 85<br>|40449 F<br>|Official<br>est,.<br>Economic<br>Plaming Board<br> <br> <br>|Bank assessment<br> <br>|
|Kuwait<br>|Apr 85<br>|1697 F<br>|UNPVSR<br>4/87 (official<br>est.)<br>|U.N. 1989 (prelim.<br>version)<br>|
|kaoPeople's<br>Dem. Rep.|Mar 85|3585 F<br>|U.N. 1989 (prelim. version)<br>|U.N. 1989 (prelim. version)<br> <br>|
|Lebanon<br>|Nov 70<br>|2126 F<br>|U.N. 1989 (prelim. version)<br> <br>|U.N. 1989 (prelim.<br>version)<br>|
|Lesotho<br>|Apr 76<br>|1216 F<br>2102 F|Bank orojection<br>from 1986 census<br>UN 1989 li<br>i|Based on WFS 1977<br>DHS1986|
|Liberia|Feb 84||.. (prem.<br>verson)<br>|<br> <br>|
|Libya|Jul 84|3637 J<br>|U.N. 1989 (prelim. version)<br> <br> <br>|U.N. 1989 (prelim.<br>version)|
|Liechenstein<br>|Dec 80<br>|25 F<br>|UNPVSR<br>1/87 (official<br>est.)<br> <br> <br>||
|Luxembourg|Mar 81<br>|364J<br>|UNPVSR<br>7/86(official<br>est.)<br> <br> <br>|Homnier 1988<br>|
|Macao<br>|Mar81<br>|248J<br>|UNPVSR<br>4/87(official<br>est.)<br> <br>|Based on Pop. Ref. Bureau 1988<br> <br>|
|Madagascar|74-75|7604 F|Bank projection<br>from census<br>and 1980 budget survey|Bank assessment<br>of 1980 survey|
|Malawi|sep 87|7983 F|<br>Bank projection<br>fromcensus|Based on 1977 census|
INTRODUCTION xIv Country, economy, or Life expectancy, 1985-90 Infant mortality, 1985-90 Age-sex structure, mid-1985 terr:tory U.N. 1989 (pretim. version) **_UNPVSR_** 10/88 (official est.) U.N. 1989 (pretim. version) Guadetoupe USKOC 1987 USBOC 1987 Bank est. Guam U.N. W89 (prelim. version) U.N. 1989 (pretim. version) U.N. 1989 (prelim. version) GuatemaLa U.N. 1989 (pretlim. version) U.N. 1989 (preLim. version) Bank assessment Guinea Bank est. Bank est. Bank assessment Guinea-Bissau eased on official _CDR_ Bank projection U.N. 1989 (prelim. version) Guyana U.N. 1989 (prelim. version) U.N. 1989 (prelim. version) U.N. 1989 (prelim. version) Haiti **--** -- * Holy See U.N. 1989 (preLim. version) _li.N._ 1989 (prelim. version) U.N. 1989 (prelim. version) Honduras _U.N._ 1989 (pretim. version) _U.N._ 1989 (pretim. version) U.N. 1989 (preLim. versiw.w) Hong Kong U.N. 1989 (prelim. version) UNPVSR 10/88 (officiaL est.) 1980 census Hungary Based on UNPVSR 10/88 UNPVSR 10/88 (official est.) U.N. 1989 (pretim. version) Iceland (official est.) U.N. 1989 (preLim. version) U.N. 1989 (prelim. version) Bank projection based on India 1981 census Based on Contraceptive Based on Contraceptive Biro Pusat Statictik 1/88 Indonesia Prevalence Survey (OPS) 1987 Prevalence Survey (DHS) 1987 Bank est. Bank est. Bank est. Iran, Islamic Rep. of U.N. 1989 (preLim. version) _U.N._ 1989 (prelim. version) U.N. 1989 (preLim. version) Iraq Based on Eurostat 1987 UNPVSR 10/88 (officiaL est.) U.N. 1989 (prelim. version) Ireland .. -- -- Isle of Man U.N. 1989 (prelim. ver_ion) U.N. 1989 (preLim. version) U.N. 1989 (prelim. version) Israel Based on Eurostat 1987 UNPVSR 10/88 (officiaL est.) U.N. 1989 (prelim. version) ItaLy U.N. 1989 (prelim. version) U.N. 1989 (pretim. version) U.N. 1989 (pretim. version) Jamaica U.N. 1989 (pretim. version) monnier 1988 U.N. 1989 (prelim. version) Japan .. .. -- Johnston Island U.N. 1989 (prelim. version) U.N. 1989 (prelim. version) Bank est. Jordan BanF. assess-ent U.N. 1989 (prelim. version) Bank assessment Kenya US6OC 1987 USBOC 1987 Bank est. Kiribati USBOC 1987 USB04. 1987 U.N. 1989 (prelim. version) Korea, People's Dem. Rep. of U.N. 1989 (pretim. version) U.N. 1989 (preLim. version) U.N. 1989 (prelim. version) Korea, Rep. of U.N. 1989 (prelim. version) U.N. 1989 (prelim. version) U.N. 1989 (pretim. version) Kuwait U.N. 1989 (prelim. version) U.N. 1989 (prelim. version) U.N. 1989 (preLim. version) Lao People's Dem. Rep. U.N. 1989 (prelim. version) _U.N._ 1989 (pretim. version) _U.N._ 1989 (pretim. version) Lebanon Based on WFS 1977 _U.N._ 1989 (pretim. version) U.N. 198- (prelim. version) Lesotho U.N. 1989 (preLim. version) U.N. 1989 (prelim. version) Bank assessment Liberia U.N. 1989 (preLim. version) U.N. 1989 (prelim. version) U.N. 1989 (prelim. version) Libya -- -- -- Liechenstein U.N. 1989 (pretim. version) UNPVSR 10/88 (official est.) U.N. 1989 (preLim. version) Luxembourg Based on Pop. Ref. Bureau 1988 Based on Pop. Ref. Bureau 1988 Bank est. Macao Bank assessmcnt of 1980 and U.N. 1989 (prelim. version) U.N. 1989 (pretim. version) Madagascar 1984 surveys U.N. 1989 (prelim. version) U.N. 1989 (preLim. version) Bank assessment Matawi
XM INrRODUCTON

# Appendix (continued)

|Coumtry.|Last<br>btil|shed census|||
|---|---|---|---|---|
|econmyu or||Population|||
|territory|**Date**|(1000)<br>*|Total population,<br>mid-1985|Total fertility,<br>1985-90|
|malaysia<br>|Jun 80<br>|13183 F<br>|Official<br>est., Dept. of Statistics<br>|Bank est.|
|Maldives<br>|**Mar**85|180F<br>|U.N.1989 (prelim.<br>version)|Bank projection|
|Malf|Apr 87|7620J|Bank projection<br>from census|DHS 1987|
|Malta<br>|Nov 85<br>|345 F<br>|UNPVSR 1/88 (official<br>est.)|U.N. 1989 (prelim.<br>version)|
|Martinique<br>|**Mar**82|327 J<br>|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|
|Mauritania<br>|Jan 77<br>|1339F|U.N. 1989 (prelim.<br>version)|U.N. 1989 (pretim.<br>version)|
|Mauritius|Jul 83|1000 F|UNPVSR 4/87 (official<br>est.)|UNPVSR<br>7/86|
|Nexico<br>|Jun 80<br>|66847 J|UNPVSR 4/87 (official<br>est.)|U.N. 1989 (prelim.<br>version)|
|Midway tslands<br>|Apr70<br>|2 F<br>|Based on U4PVSR<br>7/89 (official<br>est.)<br>||
|Monaco<br>|Mar 82<br>|27J<br>|JNPVSR1/87<br>(official<br>est.)||
|Mongolia|Jan 79|1595 F|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|
|Montserrat|may 80|12 F|UNPVSR 10/88 (official<br>est.)|Based on UNPVSR 1/87 (official<br>est.)|
|Morocco<br>|Sep 82<br>|20450 F<br>|U.N. 1989 (prelim.<br>version)<br> <br>|Based on DHS 1987 (revised<br>pretim.)|
|Mozamrbique<br>|Aug 80<br>|11674 F<br>|Bank projection<br>from census<br> <br>|8.nkest.|
|Myarfar<br>|**Mar**8U<br>|35308 F<br>|U.N. 1989 (prelim.<br>version)<br>|U.N. 1989 (prelim. version)|
|Namibia|**may**70|762 F|Bankprojection<br>from<br>|U.N.1989 (prelim.<br>version)|
||||unpublished 5.81 census||
|Nauru<br>|Jan 77<br>|7 F<br>|Based on UNPVSR<br>7/89 (official<br>est.)<br> <br>|--|
|Nepal<br>|Jun81<br>|15023J<br>|Official<br>est.,<br>Cen.Bur. of Stat.<br>|Based on Goverrment survey|
|Netherlands<br>|Feb71<br>|13060 J<br>|Based on Eurostat 1987<br>|Honnier1988|
|Netherlands|Mar 81|172J|Based on1971. 1981 censuses<br>(excl|Based on USBOC 1985|
|Antilles|||<br>.<br>||
||||Aruba). adjusted for2Xundercount||
|New Caledonia|Apr 83<br>|145 F<br>|U.N. 1989 (prelim.<br>version)|USBOC 1987|
|New Zealand<br>|Apr83<br>|3307 F<br>|U.N. 1989 (prelim. version)|Monnier 1988|
|Nicaragua<br>|Apr 71<br>|1877 J<br>|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|
|Niger|May 88|7250 F|Bank projection<br>from 1988census|Bank assessment|
|Nigeria<br>|Nov 63<br>|55670 F|Bank projection<br>from official<br>data|Based on DHS result for OndoState|
|Niue|Sep 86|3 F|UNPVSR1/87 (official<br>est.)||
|Norway<br>|Nov 80|4091 J|UNPVSR 7/86 (official<br>est.)|Based on UNPVSR 10/88 (official<br>est.)|
|Ouan<br> <br>|||U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|
|Pacific<br>Islands<br>|, Sep 80|133 J|U.N. 1989 (prelim.<br>version)|USBOC 1987|
|Trust Terr.<br>|||||
|Pakistan<br>|Mar 81<br>|84254 F<br>|Bank assessment<br>of 1981 census<br>|Bank est.|
|Panama<br>|may 80<br>|1831 F<br>|U.N. 1989 (prelim.<br>version)<br> <br>|U.N. 1989 (prelim.<br>version)|
|Papua New Guinea<br>P|Sep 80<br>l|3011F<br>|U.N. 1989 (prelim.<br>version)<br> <br>|U.N. 1989 (prelim.<br>version)<br>|
|araguay|Ju 82|3030 F|U.N.1989(prelim.<br>version)|U.N. 1989 (prelim.<br>version)|
|Peru|Jul 81|17005 F|Bank projection<br>from census,|<br><br>Projected<br>from Bank assessment|
||||adjusted<br>for 4.1X undercount|for 1980-85|
|Philippines|may 80|48098 J|Bank rojection<br>from census|Bd<br>|
||||p<br>,|ase on 4/86 Contraceptive<br>Prevatence|
||||adjusted for 1.9X undercoimt<br> <br>|Survey estimate of CBR|
|Pitcairn<br>|Dec 87<br>|b F<br>|UNPVSR<br>4/87<br> <br>||
|Poland<br>|Dec78<br>|35061J<br>|UNPVSR<br>7/86 (official<br>est.)|U.N. 1989 (pretim.<br>version)|
|Portugal<br>|Mar 81<br>|9833F<br>|Based on Eurostat1987<br> <br>|Based on UNPVSR<br>10/88 (official<br>est.)|
|Puerto Rico<br>Qatar|Apr 80<br>Mr 86|3197 F<br>369 F|UNPVSR<br>4/87(official<br>est.)<br> <br>|Based on UNPVSR10/88(officil est.)<br> <br>|
|<br>|a||U.N. 1989(prelim.<br>version)|U.N.1989 (prelim.<br>version)|
|R6union|Mar 82|516 J|U.N.1989 (pretim. version)|U.N. 1989 (prelim.<br>version)|
INTRODUCTION xhvii

|Lifeexpectancy, 1985-90|Infant<br>mortality,<br>1985-90|Age-sex structure.<br>mid-1985|Country,<br>economy, or<br>territory|
|---|---|---|---|
|U.N. 1989(prelim.<br>version)|U.N. 1989 (preLim.<br>version)|U.N. 1989 (preLim.<br>version)|malaysia|
|Bank est.|USBOC 1987|Bank est.|MaLdives|
|Bank assessment<br>of 1960-61<br>survey|U.N. 1989 (prelim.<br>version)|Bank assessment|Mali|
|and age data from 1976 census||||
|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|Malta|
|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|Martinique|
|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|Bankassessment|Mauritania|
|UNPVSR<br>7/86 (officIal<br>est.)|U.N. 1989 (prelim.<br>version)|Bank assessment|Mauritiu's|
|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|Mexico|
||||Midway Islands|
||||Monaco|
|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|Mongolia|
|Based on UNPVSR 1/87 (official<br>est|.) Bank projection|UNDY 1984|Montserrat|
|U.N. 1989 (prelim.<br>version)|DHS est. for 1982-86|U.N. 1989 (prelim.<br>version)|Morocco|
|Based on official<br>CDR|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|Mozambique|
|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|Hyarmar|
|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|Bank assessment<br>based on<br>stable population models|Namibia|
||||Nauru|
|U.N.1989(prelim.version)|Based on goverrnent<br>survey|Bank est.|Nepal|
|U.N. 1989 (prelim.<br>version)|UNPVSR 10/88 (official<br>est.)|U.N. 1989 (prelim.<br>version)|Netherlands|
|<br>Based on USBOC 1987|Based on USBOC 1987|<br>UNDY 1980|Netherlands<br>Antilles|
|USBOC 1987|USBOC 1987|Bank est.|New CaLedonia|
|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|New Zealand|
|U.N.1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|Nicaragua|
|U-N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|Bank assessment<br>based on|Niger|
|||1977 de jure population||
|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|<br>U.N. 1989 (prelim.<br>version)|<br>Nigeria|
||||Niue|
|U.N. 1989 (prelim.<br>version)|UNPVSR 10/88 (official<br>est.)|U.N. 1989 (prelim.<br>version)|Norway|
|U.N. 1989 (prelim.<br>version)|U.N. .1989<br>(prelim.<br>version)|U.N. 1989 (prelim.<br>version)|<br>Oman|
|USBOC 1987|Base4d<br>on eo, USBOC 1987|Bank est.|Pacific Islands,|
||||Trust Terr.|
|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|Bank est.|Pakistan|
|U.N. 1989 (preLim.<br>version)|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|<br>Panama|
|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|<br>Papua New Guinea|
|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|<br>Paraguay|
|Projected<br>from Bank assessment|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|<br>Peru|
|for 1980-85||||
|Bank est.|U.N.1989(prelim.<br>version)|U.N. 1989 (prelim.<br>version)|<br>Philippines|
||||Pitcairn|
|U.N. 1989 (prelim.<br>version)|UNPVSR10/88(official<br>est.)|U.N. 1989 (prelim.<br>version)|<br>Potand|
|U.N. 1989 (prelim.<br>version)|UNPVSR10/88(official<br>est.)|U.N. 1989 (prelim.<br>version)|<br>Portugat|
|U.N.1989(prelim.<br>version)<br>|U.N. 1989 (preLim.<br>version)<br>|U.N. 1989 (prelim.<br>version)|<br>Puerto Rico|
|U.N.1989(prelim.<br>version)|U.N.1989(prelim.<br>version)|U.N. 1989 (prelim.<br>version)|<br>Oatar|
|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|<br>Reunion|
# X;Viii INTRODUCTION

# Appendix (continued)

|Country,<br>economy, or|Last oublis|hed census<br>Population|||
|---|---|---|---|---|
|territory|Date|(1000)*|Total population,<br>mid-1985|Total fertility.<br>1985-90|
|Romania|Jan 77|21560 F|itWPVSR<br>7/86 (official<br>est.)|U.N. 1989 (prelim.<br>version)|
|Rwanda<br>|Aug 78<br>|4800 J<br>|Bank projection<br>from census and<br>1970 survey<br>|Bank est.|
|San Marlno<br>|Nov 76<br>|19 F<br>|UNPVSR 1/87 (official<br>est.)<br>|--|
|Sao Tom6 and<br>Principe<br>|Aug 81<br>|97 F<br>|UNPVSR 1/88 (official<br>est.)|Based on U.N. 1984|
|Saudi ArabIa<br>Sl|Sep 84<br>|7J12 F<br>|U.N. 1989 (prelim.<br>version)<br> <br>|U.N. 1989 (preLim.<br>version)|
|enega<br>|Jun 88<br>|6882F<br>|officiaL<br>est., Situation<br>Economique<br>dusenegal|DHS 1986|
|Seychelles<br>|Aug 77<br>|62 F<br>|UNPVSR 4,87 (official<br>est.)<br>|Bank projection|
|Sierra Leone<br>Si|Dec 85<br>|3516 F<br>|Bank projection<br>from census<br>|Based ov. 1974 census|
|ngapore<br>l|Jun 80<br>|2414 F<br>|UNPVSR 6/86 (official<br>est.)<br>|U.N. 1989 (prelim.<br>version)|
|Soomon I-;land<br>Sli|s Nov 86<br>|285 F<br>|USBOC 1985<br>|USBOC 1987|
|omaa<br>|Feb 75<br>|3253 F<br>|Bank projection<br>from census,<br>adjusted<br>for 20X undercount|Bank est.|
|South Africa<br>|Mar 85<br>|23385 F<br>|U.N. 1959 (prelim.<br>version)<br>|U.N. 1989 (prelim.<br>version)|
|Spain<br>Sri Lanka|Mar 81<br>Mar 81|37746 F<br>14847 F|Based on Eurostat 1987<br> <br>|U.N. 1989 (pretim.<br>version)<br>|
|<br>|<br>|<br>|UNPVSR 4/87 (official<br>est.)|Based on DHS 1987|
|St. Helena|Feb 87|6 F|UNPVSR 1/89 (official<br>est.). incl.<br> <br>||
||||Ascencion<br>and Tristan da Cunha||
|St. Kitts and<br>eaevis<br>S i|May 80<br>|44 F<br>|Official<br>est., Statistical<br>Office,<br>Planing Unit<br>|Based on official CBR, Statistical<br>Office, Planning<br>Unit|
|t. Luca<br>St Vi<br>|may 80<br>|115 F<br>|UNPVSR 7/86 (official<br>est.)<br>|Based on official<br>CBR, Stat. Office|
|. ncent<br>and<br>|may 80<br>|98 F|Based on official<br>data for 1980-83<br>|UNPVSR 10/88 (officiaL<br>est.)|
|the Grenadine<br>i|s<br>||projected<br>with 1.2X growth rate<br> <br>||
|St. Perre and<br>Miquelon<br>|mar 82<br>|6 F<br>|UNPVSR 1/87(official<br>est.)<br>||
|Sudan<br>Srinm|Feb 83<br>|20564 F<br>|U.N. 1989 (prelim.<br>version)<br> <br>|U.N. 1989 (prelim.<br>version)|
|uae|Jul 80|352 F|Official<br>est., Central Bureau<br>f iil|Based on official<br>CBR, Central<br>|
||||o Cv Affairs<br>|Bureau of Civil Affairs|
|Swaziland<br>Sd|Aug 86<br>|676_f<br>|U.N. 1989 (prelim.<br>version)<br> <br>|U.N. 1989'<br>(prelim.<br>version)|
|ween<br>Sitld|Nov 85<br>|8360 J<br>|UNPVSR 4/87 (official<br>est.)<br> <br>|Based on UNPVSR 10/88 (official<br>est.)|
|wzeran<br>Si<br>Ab|Dec 80<br>|6366 J<br>|UNPVSR 4/87 (official<br>est.)<br> <br>|U.N. 1989 (preLim.<br>version)|
|yran<br>ra Rep.<br>Taiwan<br>Chi|Sep 81<br>D 80|9046 F<br>|U.N. 1989 (prelim.<br>version)<br>|U.N. 1989 (preLim.<br>version)|
|,<br>na<br>Tnni|ec<br>|17513 F<br>|Based on USBOC 1987<br> <br>|Based on USBOC 1987|
|azaa<br>Thild|Aug 88<br>|17969 F<br>|Bank projection<br>from census<br> <br>|Bank est.|
|aan|Apr 80|44825 F|Official<br>est.. National<br>Economic<br> <br>|Official<br>projection,<br>1985|
||||and Social Development<br>Board, 1985||
|Togo<br>Tkl<br>|Nov 81<br>|2705 F<br>|Bank projection<br>from census<br>|Bank assessment|
|oeau<br>Islands<br>|Oct 82<br>|2 F<br>|Based on UNPVSR 7/89 (official<br>est.)|--|
|Tonga<br> <br>|Nov 86<br>|95 J<br>|Based on 1984 mini-census<br>|USBOC 1987|
|Trinidad<br>and<br>Tb|May 80|1080 F|U.N. 1989 (prelim.<br>version)|Based on DHS 1987|
|oago<br>ii|||||
|Tunsa<br>Turkey|Mar 84<br>Ot 85|6966 F<br>50665|UNPVSR 1/88 (official<br>est.)<br> <br> <br>|U.N. 1989 (prclim.<br>version)<br>|
|<br>Turks and Caicos|c<br>Ma 80|F<br>7 F|Official<br>est.<br>|Based on official<br>cst.|
|<br>Islands|y||UNPVSR 1/67||
INTRODUCTION X!ix

|Life expectancy 1985-90|Infant<br>mortality,<br>1985.90|Age-sex structure,<br>mid-1985|Country,<br>economy,<br>or<br>territory|
|---|---|---|---|
|U.N. 1989 (prelim.<br>version)|Based on UNPVSR 10/88<br>(official<br>est.)|U.N. 1989 (prelim.<br>version)|Romania|
|U.N. 1989 (prellm.<br>version)|U.N. 1989 (preLim.<br>version)|U.N. 1989 (prelim.<br>version)|Ruanda|
|||--<br>--|San Marino|
|Bank assessment|Bank assessment|Bank assessment|Sa6 Tome and<br>Principe|
|U.N. 1989 (prelim.<br>version)<br>Estimated<br>from countrylife<br>table<br>prepared<br>by D. Ewbink,<br>U. Penn.|U.N. 1989(pretim.<br>version)<br>U.N. 1989 (prelim. version)|U.N.1989 (pretim. version)<br>Official<br>est.|Saudi Arabia<br>Senegal|
|U.N. 1989 (prelim.<br>vers"on)|UNPVSR 7/88 (official<br>est.)|UNDY 1984|Seychelles|
|Bank assessment|U.N. 1989 (prelim.<br>version)|Bank assessment|Sierra Leone|
|U.N. 1989 (prelim.<br>version)<br>Based on US8OC 1987<br>Sank est.|U.N. 1919 (prelim.<br>version)<br>USBOC 1987<br>U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)<br>Bank est.<br>Bank assessment|<br>Singapore<br>Solomon Islands<br>Somalia|
|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|Based on 1980 census|South Africa|
|U.NU 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|<br>Spain|
|U.N. 1989 (prelim.<br>version)|Based on DHS 1987|U.N. 1989 (preLim.<br>version)|<br>Sri Lanka|
|||UNDY 1981|St. Nelena|
|Based on official<br>CDR. Statistical<br>Office,<br>Planning<br>Unit|Based on official IMR, Statistic<br>Office,<br>Planning<br>Unit|al<br>UNDY 1980 census|St. Kitts and<br>Nevis|
|Based on official DR. Stat. Office|Based on official IMR, Stat. Off.|UNDY 1980 census|St. Lucia|
|UNPVSR 10/88 (official<br>est.)|UNPVSR 10/88 (official<br>est.)|UNDY 1983|St. Vincent and<br>the Grenadines|
||||St. Pierre and<br>Miquelon|
|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|<br>Sudan|
|eased on official<br>CDR. Central<br>|Bank projection|U.N. 1989 (prelim.<br>version)|<br>Suriname|
|Bureau of Civil Affairs||||
|U.N. 1989 (prelim.<br>version)|U.N. *1989<br>(prelim.<br>version)|Bank assessment|Swaziland|
|U.N. 19E9 (prelim.<br>version)|UNPVSR 10/88 (official<br>est.)|U.N. 1989 (prelim.<br>version)|<br>Sweden|
|U.N. 1989 (prelim.<br>version)|UNPVSR 10/88 (official<br>est.)|U.N. 1989 (prelim.<br>version)|<br>Switzerland|
|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|U.N. 1989 (preLim.<br>version)|<br>Syrian Arab Rep.|
|Based on USBOC 1987|Based on USBOC 1987|Bank est.|Taiwan, China|
|Bank est.|U.N. 1989 (preLim.<br>version)|U.N. 1989 (prelim.<br>version)|<br>Tanzania|
|Official<br>projection,<br>1985|Based on 1985 survey|U.N. 1989 (pretim.<br>version)|<br>Thailand|
|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|Bank assessment|Togo|
|||-.<br>..<br>..|Tokelau Islands|
|Based on USBoC 1987|USSOC 1987|Bank est.|Tonga|
|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|<br>Trinidad<br>and<br>Tobago|
|U.N. 1989 (pretim.<br>version)|U.N. 1989 (prelim.<br>version)|U.N. 1989 (prelim.<br>version)|<br>Tunisia|
|U.N. 1989 (pretim.<br>version)|U.N. 198 (prelim.<br>version)|U.N. 1989 (prolim.<br>version)|<br>Turkey|
|||--<br>*.|Turks and Caicos<br>Islands|
I INTRODUCTION

# Appendix (continued)

|Country,|Last rubtis|hed census|||
|---|---|---|---|---|
|economy, or<br>territory|Date|Populatiolc<br>(1000) *|Total poputation, mid-1985|Total fertility,<br>1985-90|
|Tuvalu<br>|May 79|7 F|Based on UNPVSR<br>7/89 (official<br>est.)||
|Uganda|Aug 69|9549 F|U.N. 1989 (prelim. version)|U.N. 1989 (preLim. version)|
|United Arab<br>Emirates|Dec80|1043 F|UNPVSR<br>4/87 (official<br>est.)|U.N. 1989 ;prelim.<br>version)|
|United Kingdom|Apr81|55678 F|UNPVSR<br>7/86 (official<br>est.)|U.N. 1989 (prelim.<br>version)|
|United States<br>of America|Apr 80|226546 F|UNPVSR<br>7/86 (official<br>est.)|U.N. 1989 (prelim.<br>version)|
|Uruguay|Oct 85|2955F|Official<br>est. from 1985 census|U.N. 1989 (prelim.<br>version)|
|U.S.S.R.|Jan 89|286717 F|U.N. 1989 (prelim.<br>version)|Based on Monnier 1988|
|Vanuatu|Jan79|IIIF|Based on official<br>1987 est.|USBOC<br>1987|
|Venezuela|Oct 81|14517 F|UNPVSR<br>1/87 (official<br>est.)|U.N. 1989 (prelim.<br>version)|
|Viet Nam|Apr 89|64411F|Bank projection<br>from 1977 census|Bank est.|
|Virgin Islands|Apr80|97 J|USBOC 1985|Based on USBOC<br>1987|
|(U.S.)|||||
|Wake Island|Apr 70|2 F|Based on UNPVSR<br>7/89 (official<br>est.)|-|
|Wallis and<br>Futuna|Mar76||Based on UNPVSR<br>7/89(official<br>est.)||
|West Bank||---|Bank est.|Bank est.|
|Western Sahara|Dec 70|76425 F|UNPVSR<br>1/87||
|Western Samoa|Nov 81|156 F|U.N. 1989 (prelim.<br>version)|Bank est.|
|Yemen Arab Rep.|Feb 86|9274 J|Bank assessment|Bank est.|
|Yemen, People's<br>Dem. Rep. of|Mar 88|2345 F|U.N. 1989 (prelim. version)|U.N. 1989 (prelim.<br>version)|
|Yugoslavia|Mar81|22425 J|UNPVSR<br>4/87 (official<br>est.)|UNPVSR<br>10/88 lofficial<br>est.)|
|Zaire|Jul84|29441 F|U.N. 1989 (prelim. version)|U.N. 1989 (prelim. version)|
|Zambia|Aug 80|5662 F|Bank projection<br>from census|Based on Bank sector report|
|Zimibabwe|Aug 82|7546 F|Bank projection<br>from census|DHS 1988|

Notes: When a source for an estimate is directty cited (e.g.. UNPVSR 7/86), the estimate is taken as is from that publication. An estimate "based on" a source is not reported in that pubtication but derived from data contained in it. When a source is given for _ fertility or mortality estimate prior to 1985-90, the corresponding 1985-90 estimate is a projection from the eartier estimate. Citations for the main documents referred to here (usualty by abbreviations) are in the List of references.

- Nature of population estimate: F - de facto, J a de jure. Not appticabLe. No census has been taken, o. no estimates were used because no projections were made for these small countries.

- a Census was for entire peninsula.

- b 55 peopLe.
INTRODUCTION

|Life***xpectancy.**1985-90|Infant mortality.<br>1985-90|Age-sex structure,<br>mid-1985|Country,<br>economy or<br>territory|
|---|---|---|---|
||||Tuvalu<br>|
|Sankest.<br>|U.N. 1989 (prelim. version)<br> <br>|Bank assessment<br>|Uganda<br>|
|U.N. 1989 (prelim. version)<br>|U.N. 1989 (prelim.<br>version)<br> <br> <br>|U.N. 1989 (prelim. version)<br>|United Arab<br>Emirates<br>|
|U.N. 1989 (prelim. version)<br>|UNPVSR<br>10/88 (official<br>est.)<br> <br> <br>|IJ.N. 1989 (prelim. veraion)<br>|United Kingdom<br>|
|U.N. 1989(prelim.version)<br>|UNPVSR<br>10/88 (official<br>est.)<br>|U.N. 1989 (prelim. version)<br>|United States<br>of America<br>|
|U.N. 1989 (prelim. version)<br> <br>|U.N.1989(prelim. version)<br>|U.N. 1989 (prelim. version)<br>|Uruguay<br>|
|Based**on BlSum**<br>**and**Pressat 1987<br>|Based on Bltus and Pressat 1987<br>|U.N. 1989 (prelim. version)<br>|U.S.S.R.<br>|
|Bank est.<br>|Bank est.<br>|Bank est.<br>|Vanuatu<br>|
|U.N. 1989 (prelim. version)<br>|U.N. 1989 (prelim. version)<br>|U.N. 1989 (prelim. version)<br>|Venezuela<br>|
|Bank est.<br>|Sank est.<br>|Bank est.<br>|Viet Nam<br>|
|Based on USBOC 1987|USBOC 1987|UNDY 1980 census|Virgin Islands<br>(U.S.)<br>|
||||Wake Island<br>|
||||WaltLis and<br>Futuna<br>|
|Bank est.|Bank est.|Bank est.|West Sank<br>|
|<br>|||Western Sahara|
|USBOC<br>1987<br>|USBOC 1987<br>|Bank est.<br>|Western Samoa<br>|
|Bank est.<br>|Bank est.<br>|Bank est.<br>|Yemen Arab Rep.<br>|
|U.N. 1989 (prelim. version)<br> <br> <br>|U.N. 1989 (prelim. version)<br>|U.N. 1989 (prelim. version)<br> <br> <br>|Yemen, People's<br>Dem. Rep. of|
|UNPVSR<br>10/88 (official<br>est.)<br>|U.N. 1989 (prelim. version)<br>|UNPVSR<br>10/88 (official<br>est.)<br> <br>|Yugostavia<br>|
|U.N. 1989 (prelim. version)<br>|U.N. 1989 (prelim. version)<br>|U.N. 1989 (prelim.<br>version)<br>|Zaire<br>|
|U.N. 1989 (prelim. version)<br>DHS 1988|U.N. 1989 (prelim. version)<br>OHS 1988|U.N. 1989 (prelim. version)<br>Bank assessment|Zambia<br>Zimbabwe|

CBR Crude birth rate C"DR Crude death rate DHS Demographic ard Health Survey IHR Infant mortality rate TFR Total fertility rate UNDY United Nations, Demooraehic Yearbook (year is given in the table) UNPVSR United Nations, Poputation and Vital Statistics Report (month and year are given in table) USBOC U.S. Bureau of the Census (1985; Jamison, Johnson, and Engets, 1987) WFS World Fertility Survey
Hi INTRODUCTION Table 9 Population and Percentage Distribution by Geographic Region and by Income Group, 1985.2100

|||Pop|utati|on<br>(mill|ifons|)||Percen|toje<br>of|worldp|opulatio|n|
|---|---|---|---|---|---|---|---|---|---|---|---|---|
|Region or|||||||||||||
|income<br>group|1985|1990|2000|2025|2050|2100|1985|1990|2000|2025|2050|2100|
|World|4,844|5,285|6,204|8,415|10,03|5<br>11,330|<br>100.0|100.0|100.0|100.0|100.0|100.0|
|Less developed<br>(a)|3,666|4,074|4,939|7,078|8,716|10,020|<br>75.7|77.1|79.6|84.1|86.9|88.4|
|More developed<br>(a)|1,179|1,211|1,265|1,336|1,319|1,310|<br>24.3|22.9|20.4|15.9|13.1|11.6|
|Ufrica|559|<br>651|<br>870|1,587|2,275|2,962|<br>11.5|12.3|14.0|18.9|22.7|26.1|
|East Africa|231|<br>271|<br>367|<br>700|1,034|1,383|<br>4.8|<br>5.1|<br>5.9|<br>8.3|10.3|12.2|
|West Africa|204|<br>238|<br>320|<br>602|<br>873|1,152|<br>4.2|<br>4.5|<br>5.2|<br>7.2|<br>8.7|<br>10.2|
|North Africa|124|<br>142|<br>182|<br>286|<br>368|<br>427|2.6|<br>2.7|<br>2.9|<br>3.4|<br>3.7|<br>3.8|
|America|667|<br>721|<br>826|1,040|1,146|1,192|<br>13.8|13.6|13.3|12.4|11.4|10.5|
|Latin America and Caribbean|<br>399|<br>441|<br>525|<br>703|<br>814|<br>864|8.2|<br>8.3|<br>8.5|<br>8.4|<br>8.1|<br>7.6|
|Northern America|268|280|302|336|332|<br>328|5.5|<br>5.3|<br>4.9|<br>4.0|3.3|<br>2.9|
|Asia|2,823|3.100|3,664|4,901|5,728|6,288|<br>58.3|58.6|59.1|58.2|57.1|55.5|
|East and Southeast<br>Asia|1,650|1,781|2,038|2,5n3|2,719|2,822|<br>34.1|33.7|32.8|29.7|27.1|24.9|
|South Asia|1,058|1,186|1,454|2,108|2,614|2,977|<br>21.8|22.4|23.4|25.1|26.0|26.3|
|Southwest<br>Asia|115|<br>132|<br>172|<br>290|<br>396|<br>490|2.4|<br>2.5|<br>2.8|<br>3.4|<br>3.9|<br>4.3|
|Europe<br>and U.S.S.R.|771|<br>787|<br>813|<br>848|<br>843|<br>842|15.9|14.9|13.1|10.1|<br>8.4|<br>7.4|
|Oceania|25|27|31|39|42|<br>44|0.5|0.5|0.5|0.5|0.4|0.4|
|Income<br>group (b)|||||||||||||
|Low|2.7S1|3,004|3,627|5,165|6,343|7,315|56.0|56.8|58.5|61.4|63.2|64.6|
|Lower-middle|580|<br>648|<br>792|1,145|1,416|1,609|12.0|12.3|12.8|13.6|14.1|14.2|
|Upper-middle|422|462|545|748|891|<br>989|8.7|8.7|8.8|<br>8.9|<br>8.9|<br>8.7|
|High|767|789|<br>830|884|869|<br>869|15.8|14.9|13.4|10.5|8.7|7.7|
|Nonreporting nornemrber|365|382|410|474|515|<br>548|7.5|7.2|6.6|5.6|5.1|4.8|

a. "More developed" comprises Europe, U.S.S.R., Northern America (United States and Canada), Australia, New Zealand, and Japan. "Less developed" comprises the rest of the world.

b. Criteria for income grours are given in World Bank 1989. See listing in Exhibit 1.
INTRODUCTION Iiii Table 10 Annual Popu!ation Increase and Growth Rate by Geographic Region and by Income Group, 1985-2100

||Amual p|opulati|on incre|ase (mil|lions)|Ann|ual grow|th rate|(perce|nt)|
|---|---|---|---|---|---|---|---|---|---|---|
|Region or<br>income<br>group<br>|1985-90<br>2|<br>000-05<br>2|<br>025-30<br>2|<br>050-75<br>2|<br>100-25|1985-90<br>2|<br>000-05<br>2|<br>025-3<br>|0<br>2050-75<br>|<br>2100-25|
|World|88.2|91.7|'B.5|37.2|4.9|1.74|1.43|0.91|<br>0.35|<br>0.04|
|Less developed (a)|81.7|87.4|78.2|37.7|4.8|2.11|1.70|1.08|<br>0.41|<br>0.05|
|More developed (a)|6.5|4.3|0.3|-0.5|0.1|0.54|0.34|0.02|-0.04|0.01|
|Africa|18.2|26.0|30.0|19.4|2.3|3.02|2.79|1.81|0.77|0.08|
|EsstAfrica|7.9|11.6|14.6|9.7|1.1|3.15|2.94|1.98|0.84|0.08|
|West Africa|6.8|10.1|11.7|7.9|1.0|3.10|2.93|1.86|0.81|0.09|
|Nortn Africa|3.5|4.3|3.7|1.8|0.2|2.65|2.21|1.26|0.47|0.05|
|America|10.9|9.4|6.0|1.4|0.2|1.57|1.10|0.57|0.12|0.02|
|Latin America andCaribbe|an 8.5|<br>7.6|5.7|1.5|0.2|2.02|1.40|0.80|0.19|0.C2|
|Northern America|2.4|1.8|0.2|-0.1|0.0|0.87|0.59|0.07|-0.04|0.0C|
|Asia|55.4|53.9|41.9|16.5|2.2|1.a7|1.42|0.84|0.28|0.04|
|East andSoutheast<br>Asia|26.3|21.8|13.5|<br>3.0|0.5|<br>1.53|1.04|0.53|0.11|0.02|
|South Asia|25.6|27.7|23.7|10.7|'.5|<br>2.29|<br>1.82|1.09|0.39|0.05|
|Southwest<br>Asia|3.5|<br>4.4|4.7|<br>2.7|<br>0.2|<br>2.81|2.39|1.57|0.64|0.05|
|Europe and U.S.S.R.|3.3|2.0|0.4|-0.1|0.1|0.42|0.25|0.05|-0.02|0.01|
|Oceania|0.4|0.4|0.2|0.1|0.0|1.63|1.21|0.49|0.16|0.02|
|Income group (b)|||||||||||
|Low|58.7|63.1|56.4|27.8|3.8|2.05|1.67|1.06|0.42|0.05|
|Lower-middle|13.6|14.4|12.9|<br>5.7|0.6|2.23|1.74|1.09|0.38|0.04|
|Upper-middle|8.1|8.2|7.0|3.0|0.3|1.84|1.45|0.91|0.32|0.01|
|Nigh|4.4|3.3|0.2|-0.2|0.0|0.57|0.39|0.02|-0.02|0.01|
|Nonreportingionmember|3.3|2.7|2.1|0.9|0.1|0.89|0.65|0.44|0.17|0.03|

a. "Hore developed" coprises Europe, U.S.S.R., Northern America (United States and Canada), Australia, New Zealand, and Japan. "Less developed" comprises the rest of the world.

b. Criteria for income groups are given in World Bank 1989. See listing in Exhibit 1.
# liV INTRODUCTION

Table **11** Long-Run and Stationary Population, Momentum, Doubling **Year,** and Year When Net Reproduction Rate Reaches **1** by Geographic Region and by Income Group

|||Populatio|n(mill|ions)|Station-<br>ary over|<br>Popu-|Year<br> <br>when||
|---|---|---|---|---|---|---|---|---|
|Region or<br>income group|1985|<br>2050|<br>2100|Station<br> <br>**ary**|1985<br>- popula-<br>tion|lation<br> <br>mo-<br>mentum|popula-<br>tion<br>doubles|<br>Year<br>when<br>NRR-I|
|World|4,844|10,035|11,330|11,514|<br>2.4|1.4|<br>2044|2060|
|Less developed (a)|3,666|<br>8,716|10,020|10,200|<br>2.8|1.5|<br>2028|2060|
|More developed (a)|1,179|<br>1,319|<br>1,310|<br>1,314|<br>1.1|1.1|<br>(c)|2030|
|Africa|559|2.275|<br>2,962|<br>3,049|<br>5.5|1.6|<br>2009|2060|
|East Airica|231|1,034|<br>1,383|<br>1,424|<br>6.2|1.6|<br>2008|2055|
|West Africa|204|873|<br>1,152|<br>1,190|<br>5.8|1.5|<br>2008|2060|
|North Africa|124|<br>368|<br>427|<br>435|<br>3.5|1.6|<br>2016|2050|
|America|667|1.146|<br>1,192|<br>1,201|<br>1.8|1.4|<br>**(C)**|2030|
|Latin America and Caribbean|<br>399|814|<br>864|<br>872|<br>2.2|1.6|<br>2043|2030|
|Northern America|268|332|<br>328|<br>329|<br>1.2|1.2|<br>(c)|2030|
|Asia|2,823|<br>5.728|<br>6,288|<br>6.374|<br>2.3|1.5|<br>2047|2045|
|East and Southeast Asia|1,650|<br>2,719|<br>2.822|<br>2,842|<br>1.7|1.4|<br>(c)|2030|
|South Asia|1.058|<br>2,614|<br>2.977|<br>3,034|<br>2.9|1.5|<br>2025|2040|
|Southwest Asia|115|<br>396|<br>490|<br>498|<br>4.3|1.6|<br>2013|2055|
|Europe and U.S.S.R.|771|843|<br>842|<br>846|<br>1.1|1.1|<br>(c)|2030|
|Oceania|25|42|44|<br>45|1.8|1.3|<br>(c)|2030|
|Income group (b)|||||||||
|Low|2,711|6,343|7,315|7,458|2.8|1.5|2030|2060|
|Lower-middle|580|1,416|1,609|1,632|2.8|1.6|2026|2055|
|Upper-middle|422|891|989|999|2.4|1.5|2040|2050|
|High|767|869|869|871|1.1|1.2|(c)|2030|
|Nonreporting<br>nornember|365|515|<br>548|<br>554|<br>1.5|1.2|<br>(c)|2030|

a. "More developed" comprises Europe, U.S.S.R., Northern America (United States and Canada), Australia, New Zealand;-and Japan. "Less developed" conprises the rest of the world.

b. Criteria for income groups are given in World Bank 1989. See listing In Exhibit 1. c. Population wilL not double with projected rates.
INTRODUCTION **Iv** Table 12 Fenility and Mortality Rates by Geographic Region and by Income Group, 1985-90, 2000-05, and 2020-25

||||1985-90||||2|000-05|||||2020-25|||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|Region<br>or||||||||||||||||
|income<br>group|CBR|<br>**TFR**|<br>**CDR**|e(O)|**INR**|<br>CUR|<br>TFR|<br>**CDR**|e(C)|IMR|CBR|<br>TFR|<br>**CDR**|e(O)|IMR|
|Wortd|27.1|3.43|9.7|64.9|70|22.6|2.91|8.3|68.2|48|18.7|2.48|8.4|70.6|35|
|Less developed (a)|31.0|3.92|9.6|62.1|78|25.0|3.13|7.9|66.2|52|19.9|2.55|7.8|69.3|38|
|More developed(a)|14.7|1.90|9.9|74.1|15|12.9|1.89|10.0|76.0|10|12.5|2.03|11.6|77.0|9|
|Africa|44.4|6.14|14.2|57.4|107|38.1|5.09|10.2|58.8|73|27.8|3.36|7.6|64.0|52|
|East Africa|46.1|6.31|14.4|53.0|110|<br>39.9|5.39|10.4|58.4|78|29.7|3.62|7.6|63.8|54|
|West Africa|47.n|6.52|16.1|50.2|113|<br>40.8|5.52|11.5|56.1|78|29.1|3.51|8.2|62.2|55|
|North Africa|37.1|5.19|10.4|59.4|84|29.6|3.80|7.4|64.6|50|20.7|2.46|6.6|68.5|36|
|America|23.4|2.84|8.1|70.2|44|17.9|2.28|7.1|73.0|27|15.3|2.11|8.2|74.6|19|
|Latin America<br>and||||||||||||||||
|Caribbean|28.6|3.57|7.4|66.6|56|20.6|2.46|6.1|70.5|33|16.6|2.15|7.1|73.0|23|
|Northern America|15.4|1.87|9.0|75.7|10|12.9|1.90|8.7|77.4|8|?2.5|2.03|10.5|78.0|7|
|Asia|27.7|3.47|8.9|63.9|71|22.0|2.76|7.7|67.8|45|17.7|2.32|8.1|70.7|32|
|East and Southeast Asia|22.6|2.66|7.1|68.4|40|17.5|2.21|7.0|71.8|21|15.1|2.10|8.5|73.9|16|
|South Asia|34.6|4.70|11.6|57.0|102|27.1|3.38|8.8|62.3|67|20.0|2.47|8.0|66.9|46|
|Southwest<br>Asia|36.6|5.11|<br>8.8|63.4|73|30.3|4.00|6.4|67.9|43|23.8|2.94|6.0|70.8|31|
|Europe and U.S.S.R.|14.9|1.96|10.7|72.8|18|13.1|1.91|10.6|75.0|12|12.7|2.04|11.7|76.2|10|
|Oceania|20.1|2.55|8.1|72.1|28|17.8|2.41|7.9|73.7|17|15.0|2.15|9.0|74.8|14|
|Income group (b)||||||||||||||||
|Low|30.8|3.89|10.2|61.1|84|25.2|3.18|8.5|65.3|58|20.1|2.58|8.2|68.5|41|
|Lower-middle|31.5|4.05|8.4|64.0|63|24.5|3.00|6.7|68.4|38|19.2|2.41|6.9|71.0|28|
|Upper-middle|26.7|3.39|8.1|67.3|53|21.6|2.73|6.9|70.9|32|18.0|2.39|7.5|73.0|23|
|High|13.9|1.79|9.4|76.1|12|12.7|1.90|9.6|77.5|10|12.6|2.10|11.6|77.9|9|
|Nonreporting**nonmemb**|**er**19.6|2.52|10.6|69.1|32|16.4|2.28|9.9|72.1|24|15.3|2.22|10.2|73.8|20|

Note: Crude birth rates **(CBR)** and crude death rates **(CDR)** are per 1000 population; total fertility rates CTFR) are per woman 15-49 years of **age; life** expectancy at bjrth, eCO), **is** given in years; and infant mortality rates (IMR) are per 1000 live births (See definitions in World Bank 1989.)

- a. "More developed" comprises Europe, U.S.S.R.. Northern America (United States and Canada), Australia, New Zealand, and Japan. "Less developed" comprises the rest of the world.

- b. Criteria for income groups are given in World Sank 1989. See listing in Exhibit 1.
# lVi INTRODUCnON

Table 13 Population and Percentage Distribution by World Bank RegiQn and Country Department, 1985-2100

|Region and||Po|pulatio|n<br>(mill|ions)||Pe|rcenta|ge<br>of w|ortd p|opula|tion|
|---|---|---|---|---|---|---|---|---|---|---|---|---|
|country<br>department|1985|1990|2000|2025|2050|2100|<br>1985|1990|2000|2025|2050|2100|
|World|4,844|5,285|6,204|8,415|10,035|11,330|100.0|100.0|100.0|100.0|100.0|100.0|
|Borrowers and non-borrowers|||||||||||||
|Sub-Saharan Africa|457|534|72A|1,359|1,986|2,634|<br>9.4|10.1|11.6|16.2|19.8|23.2|
|Asia and Oceania|2,574|2,808|3,270|4,186|4,715|5,001|53.1|53.1|52.7|49.7|47.0|44.1|
|Europe, Middle East,|||||||||||||
|and North Africa|1,147|1,223|1,388|1,831|2,187|2,502|23.7|23.1|22.4|21.8|21.8|22.1|
|America|667|721|826|1,040|1,146|1,192|13.8|13.6|13.3|12.4|11.4|10.5|
|Borrowers only|||||||||||||
|Africa<br>Region|415|486|660|1,263|1,858|2,480|8.6|9.2|10.6|15.0|18.5|21.9|
|1Occidental<br>and Central|40|47|63|123|185|250|0.8|0.9|1.0|1.5|1.8|2.2|
|2 Eastern|106|<br>124|<br>169|<br>328|<br>486|<br>654|2.2|2.3|<br>2.7|3.9|4.8|<br>5.8|
|3 South-Central<br>and|||||||||||||
|Indian Ocean|52|<br>61|<br>84|<br>163|<br>245|<br>333|1.1|1.2|1.3|1.9|2.4|<br>2.9|
|4Western|119|<br>139|<br>187|<br>341|<br>472|<br>592|2.5|2.6|3.0|<br>4.0|4.7|<br>5.2|
|5 Sahelian|36|<br>42|<br>56|<br>111|<br>175|<br>252|0.7|0.8|<br>0.9|1.3|<br>1.7|2.2|
|6 Southern|62|73|<br>101|197|<br>295|<br>400|1.3|1.4|<br>1.6|2.3|2.9|<br>3.5|
|Asia Region|2,384|2,608|3,055|3,952|4,483|4,771|49.2|49.4|49.2|47.0|44.7|42.1|
|1 Other South|134|152|190|282|351|401|2.8|2.9|3.1|3.3|3.5|3.5|
|2 Southeast|274|304|364|488|568|609|5.7|5.8|5.9|5.8|5.7|5.4|
|3 China|1,040|1,117|1,269|1,530|1,626|1,672|<br>21.5|21.1|20.5|18.2|16.2|14.8|
|4 India|765|848|1,011|1,361|1,602|1,732|15.8|16.0|16.3|16.2|16.0|15.3|
|5 Indonesia and Pacific|170|187|221|291|335|356|3.5|3.5|3.6|3.5|3.3|3.1|
|EMN Region|474|<br>536|678|1,090|1,451|1,766|9.8|10.1|10.9|13.0|14.5|15.6|
|1Pakistanand Turkey|*146|<br>170|<br>223|<br>375|<br>502|<br>607|3.0|<br>3.2|3.6|4.5|<br>5.0|5.4|
|2 North Africa|55|63|83|131|170|197|1.1|1.2|1.3|1.6|1.7|1.7|
|3Hiddle East|168|<br>195|<br>260|<br>464|<br>657|<br>839|3.5|<br>3.7|4.2|<br>5.5|6.5|7.4|
|4 Europe|105|107|111|119|121|123|2.2|2.0|1.8|1.4|1.2|1.1|
|LAC Region|387|429|512|689|800|850|8.0|8.1|8.3|8.2|8.0|7.5|
|1 Brazil|136|150|178|233|265|278|2.8|2.8|2.9|2.8|2.6|2.4|
|2 Central America|104|116|141|199|237|254|2.1|2.2|2.3|2.4|2.4|2.2|
|3Caribbean and Other|70|78|94|128|150|162|1.5|1.5|1.5|1.5|1.5|1.4|
|4 Temperate and Tropical|78|<br>85|<br>99|129|148|156|1.6|1.6|1.6|1.5|1.5|1.4|

Note: world Bank regions and country departments are defined in Exhibit 2.
INTRODUCnTON lvii

**Table 14** Annual Population Increase and Growth **Rate by World** Bank Region and Country Department, **1985-2100**

||Annuat po|pulation|increas|e (miltion|s)|An|nual grow|th rate|(percent|)|
|---|---|---|---|---|---|---|---|---|---|---|
|Region and||||||||_|||
|country<br>department|1985-90<br>2|<br>000-05<br>2|<br>025-30<br>2|<br>050-75<br>2|<br>100-25|1985-90<br>2|<br>000-05<br>2|<br>025-30<br>2|<br>050-75<br>|<br>2100-25|
|World|88.2|91.7|78.5|37.2|4.9|<br>1.74|1.43|0.91|0.35|0.04|
|Borrowers and non-borrowers|||||||||||
|Sub-Saharan Africa|15.4|22.6|27.2|18.2|2.2|3.11|2.92|1.91|0.82|0.08|
|Asia and Oceania|46.7|42.4|28.7|8.5|1.5|1.74|1.26|0.68|0.18|0.03|
|Europe,<br>Middte<br>East,<br>and North<br>Africa|15.2|17.3|16.6|<br>9.1|1.0|1.29|1.21|0.88|<br>0.40|0.04|
|America|10.9|9.4|<br>6.0|<br>1.4|0.2|<br>1.57|1.10|0.57|<br>0.12|0.02|
|Borrowers only|||||||||||
|Africa<br>Region|14.2|21.2|25.8|<br>17.4|<br>2.1|<br>3.17|2.98|1.94|0.84|0.08|
|1 Occidental<br>and Centrat|<br>1.4|<br>2.1|<br>2.6|<br>1.8|0.2|<br>3.32|3.03|2.03|0.89|0.08|
|2 Eastern|3.6|<br>5.5|<br>6.9|<br>4.7|0.5|<br>3.18|3.00|2.01|0.86|0.08|
|3 South-Centrat and|||||||||||
|Indian Ocean|1.8|2.8|3.5|2.4|0.3|3.13|3.06|2.04|0.89|0.08|
|4 Western|4.1|<br>5.8|<br>5.8|<br>3.5|0.4|<br>3.15|2.86|1.63|0.69|0.07|
|5 Sahetian|1.1|<br>1.8|<br>2.7|<br>2.0|0.3|<br>2.79|3.00|2.27|1.02|0.12|
|6Southern|2.2|<br>3.3|<br>4.3|<br>2.9|0.3|<br>3.33|3.05|2.06|0.88|0.08|
|Asia Region|45.0|41.1|28.6|<br>8.6|1.5|<br>1.80|1.30|0.71|<br>0.19|0.03|
|<br>1 Other South|3.5|<br>4.0|<br>3.1|<br>1.5|0.3|<br>2.44|2.01|1.07|0.41|0.06|
|2Southeast|6.0|<br>5.5|<br>4.1|<br>1.3|0.2|<br>2.08|<br>1.46|0.83|0.22|0.03|
|3 China|15.4|12.5|<br>7.1|<br>1.3|0.2|<br>1.43|0.96|0.46|0.08|0.01|
|4 India|16.5|16.1|12.0|3.9|0.7|<br>2.05|1.53|0.86|0.24|0.04|
|5 Indonesia and Pacific|3.5|3.0|2.3|0.6|0.1|1.98|1.32|0.76|0.18|0.03|
|EN4 Region|12.3|15.6|16.2|<br>9.3|0.9|<br>2.44|2.17|1.43|0.59|0.05|
|1Pakistan and Turkey|4.8|5.7|5.8|3.2|0.3|3.01|2.40|1.50|0.59|0.05|
|2 North<br>Africa|1.6|<br>2.0|<br>1.8|<br>0.8|0.1|<br>2.76|2.29|1.31|0.46|0.04|
|3 Middle East|5.4|7.4|8.4|5.2|0.5|2.99|2.68|1.74|0.73|0.06|
|4 Europe|0.5|0.4|0.2|0.0|0.0|0.44|0.37|0.14|0.03|0.01|
|LAC Region|8.4|7.5|5.7|1.6|0.2|2.02|1.40|0.80|0.19|0.02|
|<br>1 Brazil|2.9|<br>2.4|<br>1.7|<br>0.4|0.1|<br>2.05|<br>1.28|0.71|0.14|0.02|
|2 Central America|2.5|2.4|1.9|0.6|0.1|2.25|1.61|0.96|0.23|0.02|
|3 Caribbean and Other|1.5|1.5|1.1|0.4|0.1|2.08|1.49|0.87|0.23|0.03|
|4 Temerate and Tropical|1.4|1.3|1.0|0.3|0.0|1.77|1.28|0.73|0.17|0.02|

Note: World Bank regions and country departments are defined in Exhibit 2.
# lViii INTRODUCTION

Table **15** Long-Run and Stationary Population,<sup>Momentum, Doubling Yqar, and Year When Net</sup> Reproduction Rate Reaches 1 by World<sup>Bank Region and Country Department</sup>

|||Populatio|n (milli|ons)<br>|Station-||Year<br>||
|---|---|---|---|---|---|---|---|---|
||||||ary over|Popu-|when||
|Region and<br>country<br>department|1985|2050|2100|Station-<br>ary|1985<br>popula-<br>tion|lation<br> <br>mo-<br>mentun|popula-<br>tion<br>doubles|<br>Year<br>when<br>NRR=1|
|World|4,844|10,035|11,330|11,514|<br>2.4|1.4|2044|2060|
|Borrowers and non-borrowers|||||||||
|Sub-Saharan Africa|457|1,986|2,634|2,716|<br>5.9|1.6|2008|2060|
|Asia and Oceania|2,574|4,715|5,001|<br>5,058|<br>2.0|1.5|(a)|2055..|
|Europe, Middle East,<br>and North Africa|1,147|2,187|2,502|2,539|2.2|1.3|2059|2055|
|America|667|1,146|1,192|<br>1,201|<br>1.8|1.4|(a)|2030|
|Borrowers only|||||||||
|Africa Region|415|1,858|2,480|<br>2,559|<br>6.2|1.6|2008<br>|2060<br>|
|1 occidental and Cer.tral|40|185|250|<br>258|6.5|1.5|2008|2050|
|2 Eastern|106|486|654|<br>674|6.4|1.6|2008|2050|
|3South-Central<br>and<br>Indian Ocean|52|245|333|<br>343|6.5|1.5|2008<br>|2055<br>|
|4 Western|119|472|592|<br>608|5.1|1.6|2009|2050|
|5 Sahelian|36|175|252|<br>263|7.3|1.5|2009|2060|
|6 Southern|62|295|400|<br>412|6.7|1.6|2007|2055|
|Asia Region|2,384|4,483|4,771|<br>4,827|<br>2.0|1.5|2099|2040|
|1Other South|134|351|401|<br>412|3.1|1.6|2021|2030|
|2 Southeast|274|568|609|616|2.2|1.6|2042<br>|2030<br>|
|3China|1,040|<br>1,626|1,672|<br>1,681|<br>1.6|1.5|(a)|2000|
|4India|765|1,602|1,732|1,759|2.3|1.4|2041|2015<br>|
|5 Indonesia and Pacific|170|335|356|360|2.1|1.5|2055|2040|
|EMN Region|474|1,451|1,766|1,800|3.8|1.5|2017|2055|
|1 Pakistanand Turkey|146|502|607|618|4.2|1.6|2012|2040|
|2 North Africa|55|170|197|199|3.6|1.6|2014|2050|
|3Middle East|168|<br>657|839|<br>859|<br>5.1|1.6|2010|2055|
|4 Europe|105|<br>121|123|<br>124|<br>1.2|1.2|(a)|2030|
|LAC Region|387|<br>800|850|<br>857|<br>2.2|1.6|2043|2030|
|1 Brazil|136|<br>265|278|<br>280|<br>2.1|1.6|2061|2005|
|2 Central America|104|<br>237|254|<br>256|<br>2.5|1.7|2029|2030|
|3Carlbbean and Other|70|150|<br>162|<br>164|<br>2.3|1.6|2037|2030|
|4 Temperate and Tropical|78|148|<br>156|<br>157|<br>2.0|1.5|2101|2025|

Note: World Bank regions and<sup>country departments</sup> are defined in Exhibit 2. a. Population will not double<sup>with projected rates.</sup>
INTRODUCTION lix Table 16 Fertility and Mortality Rates by World Bank Region and Countuy Department.<sup>1985-90. 2000-05, and 2020-25</sup>

|Region and||1|985-90||||2|000-05||||2|020-25|||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|<br>country<br>department|CBR|TFR|COR|e(O)|IhR|CBR|TFR|CDR|eCO)|IMR|CUR|TFR|CDR|e(0)|IMR|
|World|27.1|3.43|9.7|64.9|70|22.6|2.91|8.3|68.2|48|18.7|2.48|8.4|70.6|35|
|Borrowers and non-borrowers||||||||||||||||
|Sub-Saharan Africa|46.4|6.41|15.2|51.6|111|40.2|5.44|11.0|57.2|78|29.3|3.55|7.9|62.9|55|
|Asia and Oceania|26.1|3.23|8.7|64.5|67|20.3|2.52|7.7|68.5|41|16.3|2.16|8.4|71.3|28|
|Europe middle East||||||||||||||||
|, ,<br>and North Africa|23.5|3.13|10.6|68.4|60|21.4|2.98|9.3|70.5|43|18.7|2.58|8.9|72.1|32|
|America|23.4|2.84|8.1|70.2|44|17.9|2.28|7.1|73.0|27|15.3|2.11|8.2|74.6|19|
|Borrowers onLy||||||||||||||||
|<br>Africa Region|47.3|6.57|15.5|51.1|113|41.0|5.59|11.2|56.6|79|29.8|3.62|7.9|62.6|55|
|<br>1 Occidental and Central|<br>47.2|6.60|15.5|51.8|106|41.2|5.77|11.3|57.0|72|30.5|3.76|7.8|63.0|50|
|2Eastern|48.2|6.72|16.0|50.5|121|41.8|5.76|11.7|55.6|87|30.7|3.77|8.1|62.0|59|
|3South-Central and<br>Indian Ocean|46.3|6.44|14.9|52.0|107|41.3|5.74|10.7|57.5|70|30.5|3.75|7.6|63.3|49|
|<br>4Western|<br>46.6|<br>6.48|<br>15.1|51.2|105|39.1|5.15|10.5|57.4|68|26.5|3.13|7.6|63.3|48|
|<br>5 Sahelian|48.0|6.58|19.1|46.7|141|45.1|6.34|14.6|51.6|106|34.6|4.33|9.8|58.6|74|
|6 Southern|47.5|6.59|14.1|53.0|109|40.8|5.50|10.2|58.2|78|30.5|3.71|7.5|63.5|55|
|Asia Region|27.0|3.32|8.8|63.5|69|20.7|2.55|7.6|67.8|42|16.5|2.17|8.3|70.9|29|
|<br>1Other South|386|5.20|13.9|53.0|114|30.9|3.85|10.5|57.5|78|20.3|2.43|8.6|63.0|54|
|<br>2 Southeast|.<br>29.2|<br>3.62|<br>7.9|<br>64.3|49|21.4|2.58|6.6|68.5|27|16.9|2.13|7.3|71.5|20|
|3 China|21.1|2.40|6.7|69.5|32|16.6|2.11|6.9|72.7|18|14.6|2.09|8.7|74.6|14|
|4 India|31.6|4.26|11.0|57.9|99|23.8|2.89|8.5|63.7|61|17.7|2.20|8.2|68.0|42|
|<br>5Indonesia and Pacific|<br>29.0|3.55|9.1|60.2|71|20.2|2.34|7.0|67.8|34|16.6|2.14|7.7|71.1|24|
|EMNRegion|35.0|4.80|10.4|62.2|84|29.8|4.01|8.0|65.9|56|23.0|2.87|7.0|69.1|40|
|<br>1 PakistanandTurkey|41.3|5.65|10.9|59.1|101|31.9|4.33|7.9|63.4|67|23.6|2.89|6.7|67.5|46|
|2 North Africa|36.6|5.25|8.9|62.2|73|29.0|3.67|6.1|67.4|40|20.1|2.37|5.7|70.9|28|
|3MiddLe<br>East|40.5|5.78|10.6|59.4|86|34.5|4.68|7.8|64.3|58|25.9|3.18|6.5|68.1|42|
|4 Europe|15.0|2.03|10.3|71.4|21|14.3|2.00|10.4|73.9|13|13.2|2.07|11.3|75.5|11|
|LAC Region|28.9|3.62|7.4|66.3|57|20.8|2.47|6.1|70.3|34|16.7|2.15|7.1|72.9|24|
|<br>1 Brazil|28.4|3.46|7.9|64.9|63|19.1|2.27|6.2|69.9|37|16.1|2.12|7.5|72.7|25|
|2 Central America|30.9|3.91|6.2|67.7|50|22.5|2.59|5.1|71.1|29|17.3|2.16|6.1|73.5|21|
|3 Caribbean and Other|30.0|3.73|7.5|65.3|59|22.3|2.67|6.4|68.9|39|17.4|2.20|7.1|71.7|27|
|4 Tenperate and Tropical|26.1|3.41|8.3|67.7|52|20.0|2.47|7.1|71.1|32|16.2|2.12|7.7|73.4|22|

Note: Crude birth rates (CUR) and crude death rates (CDR) are per 1000 population; total fertility rates (TFR) are per woman 15-49 years of age; life expectancy at birth, e(0). is given in years; and infant mortality rates (INR) are per 1000 live births. (See definitions in World Bank 1989.) World Bank regions and country departments are defined<sup>in Exhibit 2.</sup>
# IX INTRODUCnON

Table 17 Population Projections for All Countries and Economies, 1985-2025 (tbousands)

|Country or economy|1985|1990|1995|2000|2005|2010|2015|2020|2025|
|---|---|---|---|---|---|---|---|---|---|
|U;Ul|4,844,423<br>5|,285,340<br>5|,743,829<br>6|,204,370<br>6|,662,986<br>|7,112,318<br>|7,555,643<br>|7,992,926|8,414,779|
|Africa|559,416|650,556|753,142|869,770|999,722<br>|1,138,624<br>|1,284,714|1,435,140|1,587,366|
|East Africa|231,239|270,645|315,563|367,295|425,501|488,579|556,041|626,929|699,967|
|Botswana|1,070|1,212|1,358|1,514|1,675|1,824|1,965|2,102|2,233|
|Burundi|4,696|5,483|6,460|7,487|8,602|<br>9,838|11,213|12,686|14,178|
|Cororos|395|474|562|661|773|898|1,033|1,173|1,313|
|Djibouti|350|424|498|580|672|<br>770|874|980|1,084|
|<br>Ethiopia|42,271|48,784|56,551|65,919|75,985|86,728|<br>98,264|110,568|123,302|
|Kenya|20,353|24,987|30,288|36,609|44,105|52,664|62,181|72,491|<br>83,389|
|Lesotho|1,545|1,764|2,006|2,265|2,541|2,827|3,111|3,392|3,657|
|Madagascar|10,212|11,983|13,890|16,023|18,398|20,947|23,567|26,127|28,608|
|mHlawi|7,369|8,700|10,339|12,333|14,592|17,168|20,116|23,453|27,137|
|Mauritius|1,020|1,078|1,139|1,200|1,262|1,321|1,375|1,424|1,468|
|Mozambique|13,791|15,861|18,589|21,671|25,137|28,849|32,864|37,170|41,647|
|Namibia|1,143|1,345|1,559|1,795|2,053|2,327|2,604|2,872|3,119|
|R6union|546|594|639|681|719|754|761|817|843|
|Rwanda|6,026|7,147|8,661|10,331|12,226|14,401|16,928|19,804|22,958|
|Seychetles|66|69|73|77|81|85|89|94|99|
|sormlia|5,384|6,285|7,287|8,510|9,875|11,383|13,041|14,840|16,742|
|South Africa|31,593|35,746|40,097|44,670|49,373|53,953|58,224|62,039|65,703|
|.mziland|665|790|925|1,080|1,254|1,443|1,637|1,827|2,011|
|Tanzania|22,242|26,673|31,594|37,315|43,972|51,364|59,364|67,784|76,397|
|Uganda|14,680|17,479|20,467|23,839|27,651|31,849|36,328|40,917|45,426|
|Zeire|30,712|35,775|41,523|48,409|56,641|65,499|74,936|84,869|95,125|
|Zambia|6,704|8,067|9,597|11,365|13,426|15,711|18,206|20,864|23,605|
|Zirbabwe|8,406|9,925|11,461|12,961|14,488|15,976|17,334|18,636|19,923|
|Vest Africa|203,741|237,877|275,932|320,245|370,679|425,111|482,615|541,984|601,836|
|Angola|8,754|10,013|11,540|13,474|15,675|18,060|20,671|23,531|26,604|
|Benin|4,043|4,741|5,486|6,316|7,241|8,232|9,249|10,245|<br>11,207|
|Burkina<br>Faso|7,881|9,016|10,386|12,055|13,895|15,920|18,131|20,512|22,992|
|Cameroon|10,191|11,971|13,951|16,324|19,188|22,370|25,792|29,372|33,032|
|CapeVerde|334|377|434|495|554|612|673|736|<br>796|
|Centrai<br>African Rep.|2,583|2,961|3,365|3,828|4,351|4,892|5,443|5,994|6,535|
|CLiad|5,018|5,679|6,449|7,391|8,431|9,542|10,737|12,006|13,312|
|Congo,<br>People's<br>Rep. of th|e<br>1,945|2,327|2,768|3,297|3,937|4,653|5,450|6,326|7,262|
|C6te dlvoire|10,252|12,604|15,065|17,828|20,985|24,509|28,380|32,554|36,938|
|EquatoriaL<br>Guinea|373|417|467|525|584|646|710|774|837|
|Gabon|997|1,135|1,296|1,488|1,721|1,972|2,248|2,550|2,872|
|Garrbia,<br>The|748|875|1,012|1,167|1,346|1,540|1,753|1,986|2,235|
|Ghana|12,620|14,870|17,258|19,892|22,777|25,844|28,998|32,093|35,102|
|Guinea|6,166|6,972|<br>7,837|8,843|10,053|11,362|12,778|14,291|15,878|
|Guinea-Bissau|886|981|1,088|1,217|1,371|1,535|1,711|1,896|2,088|
|Libcria|2,178|2,563|2,969|3,416|3,915|4,457|,,020|5,576|6,110|
INTRODUCTION **Ixi** Table 17 (continued)

|Country<br>or economy|1985|1990|1995|<br>2000|<br>2005|<br>2010|<br>2015|<br>2020|<br>2025|
|---|---|---|---|---|---|---|---|---|---|
|Mali|7,389|8,501|<br>9 o0|911,450|13,331|15s477|17,900|20,597|<br>23,530|
|Mauritania|1,764|2,001|2,283|2,634|3,068|3,543|4,065|4,640|<br>5,263|
|Niger|6,573|<br>7,659|8,938|10,525|12,519|14,748|17,254|<br>20,083|<br>23,258|
|Nigeria|99,669|116,738|135,627|157,311|181,M|207,804|234,592|261,282|287,027|
|**Sa5 Tomw**and Prircipe|108|124|140|<br>158|<br>177|<br>196|<br>214|<br>232|<br>247|
|Senegat|6,567|7,593|<br>8,852|10.372|12,012|13,767|15,652|<br>17,676|<br>19,793|
|Sierra<br>**Leone**|3,657|4,145|4,696|5,358|<br>6,163|7.031|7,978|9,005|<br>10,105|
|Togo|3,038|3,606|4,208|4,872|<br>5,603|6,389|7,206|8,016|<br>8,802|
|Other West Africa<br>(a)|7|8|8|<br>9|9|*<br>10|<br>10|<br>11|<br>11|
|North<br>Africa|124,436|142,034|161,647|182,230|203,542|224,934|246,058|266,227|<br>285,563|
|Atgeria|21,718|25,260|29,605|34,243|38,983|43,564|48,087|52,437|<br>56,421|
|Egypt,<br>Arab Rep. of|47,578|53,686|59,980|66,439|73,096|79,728|85,970|91,508|<br>96,743|
|Libya|3,786<br>|4,546<br>|5,450|<br>6,489|7,685|<br>9,029|10,520|<br>12,146|<br>13,880|
|Morocco|22,120|25,128|28,511|31,920|35,226|38,422|41,469|44,270|<br>46,994|
|Sudan|21,818|25,095|28,817|32,930|37,484|42,354|47,423|52,50|757,416|
|Tunisia<br> <br> <br>|7,261<br>|8,140<br> <br>|9,079|9,975<br>|10,800<br>|11,531<br>|12,242<br>|<br>12,966<br>|<br>13,669<br> <br>|
|Other<br>North<br>Africa**(a)**|155|<br>179|205|<br>234|268|306|347|393|<br>440|
|America|666,651|721,070|775,396|826,354|873,25|5918,029|961,972|1,003,328|1,039,520|
|Latin<br>America<br>and Caribbean|398,592|441,027|483,986|524,799|562,73|3 599,299|635,687|670,840|<br>703,166|
|Antigua<br>and Barbuda|80|86|93|100|108|115|<br>121|<br>126|<br>130|
|Argentina|30,331|32,254|34,037|35,725|37,293|38,821|40,337|41,759|<br>43,036|
|Bahamas|232|258|284|308|330|350|369|<br>386|<br>402|
|Barbados|253|257|259|261|263|264|265|<br>267|<br>268|
|Betize|166|189|216|246|276|304|329|353|<br>378|
|BoLivia|6,371|7,309|8,374|9,511|10,720|11,969|13,224|<br>14,456|<br>15,615|
|Brazit|135,564|150,195|164,508|177,627|189,390|200,797|212,325|223,322|<br>233,171|
|Chite|12,121|13,204|14,188|15,027|15,801|16,575|17,337|<br>18,040|<br>23,639|
|Colombia|28,418|31,105|33,883|36,478|38,868|41,215|43,553|45,77|3 47,772|
|Costa<br>Rica|2,489|2,803|3,098|3,363|3,600|3,832|4,068|4,293|<br>4,492|
|**Cuba**|10,090|10,600|11,110|11,600|12,017|12,349|12,636|<br>12,895|<br>13,'12|
|Dominica|78|83|87|91|96|102|<br>107|<br>112|<br>117|
|Dominican<br>Rep.|6,416|7,140|7,843|8,512|<br>9,139|9,707|10,268|10,839|<br>11,389|
|Ecuador|9,378|10,640|11,944|13,183|14,409|15,580|16,650|17,673|<br>18,668|
|EL SaLvador|4,768|5,257|5,822|6,482|7,197|7,911|8,607|9,280|<br>9,922|
|Grenada|96|105|115|<br>124|132|<br>140|<br>150|<br>159|<br>167|
|Guadeloupe|334|339|347|356|365|376|390|402|<br>413|
|Guatemata|7,963|9,215|10,597|12,114|13,760|15,470|17,170|18,849|<br>20,452|
|Guyana|790|800|791|765|744|734|<br>732|<br>736|<br>745|
|Haiti|5,922|6,483|7,154|7,831|8,50|9,144|9,777|10,398|<br>10,986|
|Honduras|4,383|5,119|5,940|6,824|7,740|8,640|9,525|10,365|<br>11,133|
|Jamaica|2,336|2,468|2,582|2,660|2,739|<br>2,833|2,942|3,060|<br>3,180|
|Martinique|328|330|336|343|349|356|366|376|<br>386|
|Mexico|78,524|87,262|96,301|104,801|112,294|119,436|<br>i26,662|133,766|<br>140,425|
## i lINtRoucTioN

# Table 17 (continued)

|Country<br>or econory|198|5<br>1990|<br>199|5<br>2000|<br>2005|<br>2010|<br>201|5<br>202|0<br>2025|
|---|---|---|---|---|---|---|---|---|---|
|Montserrat|12|<br>12|<br>12|<br>12|<br>12|<br>13|<br>13|<br>14|<br>14|
|Netherlands<br>Antilles|182|<br>183|<br>190|<br>199|<br>210|<br>222|<br>232|<br>241|<br>250|
|Nicaragua|3,272|3,853|<br>4,475|<br>5,148|<br>5,863|<br>6,588|7,298|<br>7,962|<br>8,561|
|Panm|2,180|2,396|<br>2,586|<br>2,749|<br>2,90|7<br>3,070|3,233|<br>3,385|<br>3,521|
|Paraguay|3,693|4,280|<br>4,906|<br>5,539|<br>6,173|<br>6,804|7,424|<br>8,009|<br>8,533|
|Peru|19,383|<br>21,627|<br>24,063|<br>26.456|<br>28,724|<br>30,728|<br>32,643|<br>34,551|<br>36,377|
|St. Kitts<br>**and**Nevis|44|<br>41|38|<br>36|<br>35|<br>35|<br>36|<br>38|<br>40|
|St. Lucia|137|<br>15|<br>162|<br>176|<br>189|<br>201|<br>213|<br>225|<br>238|
|St. Vincent<br>and Grenadine|n<br>117|<br>126|<br>134|<br>142|<br>151|<br>161|<br>170|<br>179|<br>187|
|Suriname|398|<br>445|<br>495|<br>542|<br>583|<br>622|<br>660|<br>700|<br>739|
|Trinidad<br>and Tobago|1,185|<br>1,283|<br>1,364|<br>1,429|<br>1,491|<br>1,559|<br>1,629|<br>1,696|<br>1,754|
|Uruguay|2,940<br>|3,051<br> <br>|<br>3,154<br> <br>|<br>3,250<br> <br>|<br>3,348<br>|<br>3,446|3,543|<br>3,636|<br>3,722|
|Venezuela|17,317|<br>19,751|<br>22,144|<br>24,410|<br>26,512|<br>28,403|<br>30,234|<br>32,049|<br>33,744|
|Virgin**Islands**<br>CU.S.)<br>|107<br>|<br>114<br> <br>|<br>120<br> <br>|<br>126<br> <br>|<br>133<br> <br>|<br>140<br> <br>|<br>147<br> <br>|<br>153<br> <br>|<br>158<br>|
|Other Latin**America**<br>**(a)**|194|<br>214|<br>234|<br>253|<br>270|<br>287|<br>302|<br>317|<br>330|
|Northern<br>America|268,059|<br>280,043|291,410|301,555|<br>310,522|318,730|326,285|<br>332,488|336,354|
|Canada|25,379|<br>26,635|<br>27,749|<br>28,705|<br>29,513|<br>30,207|<br>30,796|<br>31,231|<br>31,428|
|United<br>States|239,283|249,841|259,956|269,020|<br>277,052|284,441|291,288|296,950|<br>300,529|
|Puerto<br>Rico|3,282|3,446|<br>3,57|9<br>3,699|<br>3,822|<br>3,944|4,060|<br>4,163|<br>4,252|
|Other Northern<br>America<br>(a)|<br>115|<br>121|<br>126|<br>131|<br>135|<br>138|<br>141|<br>144|<br>145|
|Asia|2,822,987|3,099,789|3,385,460|3,664,203|3,933,803|4,189,524|4,434,170|4,673,078|4,901,248|
|East and Southeast<br>Asia|1,650,096|1,781,418|1,914,499|2,037,848|2,147,098|2,244,255|2,335,258|2,422,679|2,503,060|
|**Brunei**|219|<br>259|<br>296|<br>329|<br>357|<br>380|<br>401|<br>421|<br>439|
|**Surma**<br> <br> <br>|37,544<br>|41,979<br>|<br>46,327<br>|<br>51,445<br>|<br>55,804<br>|<br>59,817<br>|<br>63,489<br>|<br>67,147<br>|<br>70,829<br>|
|China<br>(excluding<br>Taiwan)|1,040,035|1,117,001|1,196,245|1,268,914|1,331,301|1,385,439|1,436,068|1,485,075|1,529,780|
|**raiwan,**<br>China|19,408|<br>20,647|<br>21,561|<br>22,401|<br>23,235|<br>24,033|<br>24,738|<br>25,302|<br>25,730|
|Hong Kong|5,456|5,828|<br>6,14|8<br>6,420|<br>6,644|<br>6,833|7,001|<br>7,141|<br>7,237|
|**Indonesia**|164,630|181,593|197,937|213,566|<br>227,844|241,409|254,894|<br>267,844|279,779|
|Japan|120,754|- 123,343|125,748|127,670|128,899|129,071|<br>128,319|127,006|<br>125,350|
|Kampuchea, Dem.|7,284|8,263|<br>9,212|<br>9,995|<br>10,674|<br>11,420|<br>12,243|<br>13,045|<br>13,721|
|Korea, Dem. Peopless Rep. o|f<br>20,385|<br>22,876|<br>25,433|<br>27,865|<br>30,118|<br>32,138|<br>34,086|<br>36,020|<br>37,847|
|Korea,<br>Rep, of|41,056|43,749|<br>45,948|<br>48,078|<br>50,093|<br>51,863|<br>53,374|54,627|<br>55,667|
|Lao People's<br>Dem. Rep.|3,594|4,073|<br>4,650|<br>5,256|<br>5,89|5<br>6,558|7,233|<br>7,891|<br>8,504|
|Macao|392|<br>471|<br>520|<br>553|<br>572|<br>591|<br>610|<br>628|<br>641|
|Malaysia|15,682|<br>17,780|<br>19,957|<br>21,939|<br>23,714|<br>25,301|<br>26,882|<br>28,492|<br>30,018|
|Mongolia|1,908|2,225|<br>2,582|<br>2,949|<br>3,319|<br>3,685|4,048|<br>4,397|<br>4,711|
|Philippines|55,819|62,154|<br>68,413|<br>74,433|<br>80,206|<br>85,486|<br>90,595|<br>95,643|<br>100,432|
|Singapore|2,558|2,692|<br>2,808|<br>2,901|<br>2,978|<br>3,040|3,091|<br>3,124|<br>3,138|
|Thaitand|51,683|56,280|<br>60,785|<br>64,864|<br>68,740|<br>72,510|<br>76,089|<br>79,394|<br>82,370|
|Viet Nan|61,689|70,205|<br>79,429|<br>88,270|<br>96,705|<br>104,681|112.097|119,482|<br>126,867|
|South<br>Asia|1,058,212|1,186,390|1,319,460|1,454,021|1,592,467|1,728,386|1,858,233|1,985,107|2,108,300|
|Afghanistan|18,087|<br>20,370|<br>23,309|<br>26,792|<br>30,967|<br>35,506|<br>40,461|<br>45,899|<br>51,810|
INTRODUCTION lXiii Table 17 **(continued)**

|Country or economy|1985|1990|1995|2000|<br>2005|<br>2010|<br>2015|<br>2020|<br>2025|
|---|---|---|---|---|---|---|---|---|---|
|Bang,adesh|100,593|114,403|129,243|145,168|161,443|177,121|192,112|206,101|<br>218,806|
|Bhutan|1,286|1,434|1,619|1,804|1,989|2,171|2,350|2,529|<br>2,699|
|India|765,147|847,728|930,518|1,010,768|1,091,192|1,166,648|1,234,094|1,298,370|1,361,318|
|Iran, Islamic Rep. of|44,212|51,942|60,711|70,199|80,447|91,498|103,295|<br>115,490|127,545|
|Ealdives|183|217|256|299|344|392|442|<br>491|<br>540|
|Nepal|16,687|19,004|21,516|24,171|26,887|29,572|<br>32,141|34,674|<br>37,086|
|Pakistan|96.180|114,290|134,313|155,933|179,343|204,651|231,599|259,011|<br>285,264|
|Sri Lanka|15,837|17,002|17,975|18,887|19,855|20,827|<br>21,739|22,542|<br>23,232|
|Southwest Asia|114,679|131,981|151,501|172,334|194,238|216,883|240,679|265,292|<br>289,888|
|Bahrain|425|497|566|626|681|730|<br>_m_|812|<br>846|
|Cyprus|665|698|725|751|<br>775|<br>800|<br>824|<br>844|<br>85S|
|Gaza Strip|490|568|658|756|870|998|1,141|1,292|<br>1,444|
|Iraq|15,898|18,923|22,408|26,286|30,525|35,017|<br>39,628|44,175|<br>48,617|
|Israel|4,233|4,581|4,914|5,239|5,543|5,839|6,128|6,395|<br>6,631|
|Jordan|2,649|3,171|3,814|4,539|5,326|6,161|7,041|7,943|<br>8,827|
|Kuwait|1,712|2,063|2,422|2,782|3,136|3,464|3,.52|3,999|<br>4,225|
|Lebanon|2,668|2,655|2,745|2,890|3,087|3,277|3,475|3,676|<br>3,870|
|Oman|1,242|1,517|1,811|2,125|2,465|2,845|3,259|3,691|<br>4,126|
|Qatar|299|<br>389|460|523|<br>579|<br>636|<br>691|<br>741|<br>785|
|Saudi Arabia|11,595|14,126|17,036|20,335|24,041|28,077|<br>32,446|37,042|<br>41,710|
|Syrian Arab Rep.|10,458|12,558|15,075|17,958|21,223|24,813|<br>28,659|32,625|<br>36,523|
|Turkey|50,310|55,990|61,931|67,559|72,600|76,984|<br>81,288|85,714|<br>89,973|
|United Arab Emirates|1,350|1,592|1,792|1,979|2,149|2,310|<br>2,442|2,538|<br>2613|
|Uest Bank|887|1,060|1,272|1,508|1,764|2,036|<br>2,322|2,614|<br>2,899|
|Yemen Arab Rep.|7,661|9,103|10,973|13,140|<br>15,665|<br>18,583|<br>21,965|<br>25,804|<br>30,025|
|Yemen, People's Dem. Rep. of|2,137|2,490|2,899|3,338|3,809|4,313|<br>4,845|5,387|<br>5,915|
|Europe and U.S.S.R.|770,723|787,186|800,881|813,000|823,231|831,407|838,473|<br>843,737|847,875|
|ALbania|2,962|3,281|3,596|3,881|4,131|4,369|<br>4,608|4,838|<br>5,046|
|Austria|7,555|7,520|7,493|7,460|7,409|7,344|<br>7,272|7,183|<br>7,075|
|Belgium|9,858|9,876|9,885|9,880|9,846|9,787|<br>9,714|9,632|<br>9,535|
|Bulgaria|8,960|9,020|9,066|9,115|9,135|9,130|<br>9,110|9,092|<br>9,075|
|Channel Islands|134|135|135|135|<br>134|<br>133|<br>131|<br>129|<br>128|
|Czechoslovakia|15,500|15,684|15,885|16,147|<br>16,406|<br>16,647|<br>16,850|<br>17,020|<br>17,150|
|Dermark|5,114|5,097|5,084|5,063|5,039|5,002|<br>4,953|4,887|<br>4,802|
|Finland|4,908|4,974|5,015|5,032|5,034|5,024|<br>4,999|<br>4,953|<br>4,882|
|France|55,170|56,339|57,490|58,579|<br>59,374|<br>59,958|<br>60,417|<br>60,782|<br>60,983|
|German Dem. Rep.|16,644|16,708|16,791|16,873|<br>16,919|<br>16,929|<br>16,910|<br>16,843|<br>16,768|
|<br>Germany, Fed. Rep. of|61,035|60,487|59,976|59,351|58,463|<br>57,315|<br>56,042|<br>54,624|<br>53,184|
|Greece|9,919|10,054|10,173|10,259|<br>10,323|<br>10,334|<br>10,296|<br>10,237|<br>10,185|
|Hungary|10,657|10,543|10,460|10,409|<br>10,353|<br>10,283|<br>10,196|<br>10,101|<br>10,006|
|Iceland|241|253|265|276|<br>287|<br>297|<br>306|<br>314|<br>322|
|Ireland|3,521|3,609|3,698|3,801|3,920|4,037|<br>4,143|4,239|<br>4,329|
|Italy|57,141|57,178|57,136|56,966|<br>56,563|<br>55,861|<br>54,920|<br>53,850|<br>52,761|
# Liv INTRODUCnON

Table 17 (continued)

|Country<br>or economy|1985|<br>1990|<br>1995|<br>2000|<br>2005|<br>2010|<br>2015|<br>2020|<br>2025|
|---|---|---|---|---|---|---|---|---|---|
|Luxembourg|366|366|364|361|357|352|345|339|332|
|Matta|345|344|344|347|351|356|360|<br>362|<br>362|
|Nethertands|14,49i|14,815|15,092|15,278|15,388|15,429|15,414|15,349|15,213|
|Norway|4,153|<br>4,214|<br>4,275|<br>4,330|<br>4,375|<br>4,414|<br>4,450|<br>4,477|<br>4,486|
|Poland|37,203|38,343|39,294|40,240|41,184|42,115|42,959|43,670|<sup>44,257</sup>|
|Portug'4|10,157|10,167|10,195|10,231|10,278|10,300|10,293|10,262|<sup>10,224</sup>|
|Romanit|22,725|23,250|23,844|24,461|24,952|25,327|25,670|<sup>26,032</sup>|<sup>26,422</sup>|
|Spain|38,523|39,148|39,810|40.A85|40,833|41,073|41,158|41,200|<sup>41,177</sup>|
|Sweden|8,350|<br>8,362|<br>8,378|<br>8,377|<br>8,356|<br>8,321|.8,288|<br>8,246|<br>8,175|
|Switzerland|6,472|<br>6,501|<br>6,514|<br>6,499|<br>6,457|<br>6,391|<br>6,308|<br>6,208|<br>6,085|
|United<br>Kingdom|56,618|56,890|57,178|57,333|57,345|57,309|57,304|57,285|<sup>57,161</sup>|
|Yugoslavia|23,123|23,844|24,562|25,276|25,906|26,383|26,731|27,007|<sup>27,251</sup>|
|Other<br>Europe<br>(a)|260|<br>271|<br>282|<br>293|<br>303|<br>313|<br>321|<br>329|<br>336|
|U.S.S.R.|278,618|289,913|298,601|306,362|313,810|320,874|328,005|334,247|340,163|
|Oceania|24,646|26,739|28,950|31,043|32,975|34,734|36,314|37,643|<sup>38,770</sup>|
|Australio|15,758|17,013|18,326|19,507|20,523|21,371|22,053|22,532|22,889|
|Fiji|700|<br>752|<br>795|<br>828|<br>858|<br>891|<br>927|<br>963|<br>996|
|French<br>Polynesia|171|<br>197|<br>225|<br>254|<br>279|<br>301|<br>319|<br>338|<br>356|
|Guam|123|<br>136|<br>146|<br>156|<br>167|<br>177|<br>186|<br>194|<br>200|
|Kiribati|64|<br>70|<br>77|<br>84|<br>91|98|<br>105|<br>111|<br>117|
|New Caledonia|153|<br>163|<br>173|<br>182|<br>192|<br>202|<br>212|<br>221|<br>229|
|New Zealand|3,247|<br>3,366|<br>3,485|<br>3,598|<br>3,699|<br>3,786|<br>3,863|<br>3,929|<br>3,979|
|Pacific<br>Islands|154|<br>172|<br>194|<br>219|<br>247|<br>274|<br>300|<br>322|<br>344|
|Papua New Guinea|3,511|<br>4,010|<br>4,546|<br>5,090|<br>5,640|<br>6,195|<br>6,744|<br>7,262|<br>7,725|
|Solomon<br>Islands|273|<br>325|<br>391|<br>467|<br>551|<br>641|<br>737|<br>835|<br>931|
|Tonga|97|<br>105|<br>115|<br>125|<br>135|<br>144|<br>154|<br>164|<br>175|
|<br>Vanuatu|141|<br>161|<br>186|<br>213|<br>241|<br>271|<br>301|<br>330|<br>359|
|Western<br>Samoa|163|<br>171|<br>184|<br>202|<br>221|<br>242|<br>263|<br>282|<br>301|
|Other<br>Micronesia<br>Ca)|15|<br>17|<br>18|<br>20|<br>22|<br>23|<br>24|<br>26|<br>27|
|Other<br>Polynesia<br>(a)|76|<br>81|<br>89|<br>98|<br>109|<br>118|<br>126|<br>134|<br>142|

(a) For a listing of countries in the "other" categories, see Table 18.
INTRODUCTION IXV

**Table 18** Population of Countries and Econorr.es in the Other Categories

|Country or<br>economy<br>|Population<br>1985<br>(thousands)|Country or<br>economy<br>|Population<br>1985<br>(thousands)|Country or<br>economy|PopuLation<br>1985<br>(thousands)|
|---|---|---|---|---|---|
|Other West Africa|7|Other Northern America|115|Other Micronesia|15|
|St. Helena|6|Bermuda|56|Nauru|8|
|Ascencion|1|Greenland|53|Johnston Island|1|
|Tristan<br>da Cunha|0.3|St.Pierre and MiqueLon|<br>6|Midway Islands<br>Pitcairn|2<br>0.1|
|Other North Africa||Other Europe|260|TokeLau Islands|2|
|Western Sahara|155|Andorra|45|Wake Island|2|
|||Faeroe Islands|46|||
|Other Latin America||Gibraltar|29|||
|and the Caribbean|194|Holy See|I|other Polynesia|76|
|Anguilta|7|Isle ofMan|63|America Samoa|35|
|Aruba|60|Liechtenstein|27|Cook IsLands|18|
|British<br>Virgin<br>Islands|12|Monaco|27|Niue|3|
|Cayman Islands|22|San Marino|22|TuvaLu|8|
|Falkland Islands|2|||Wallis<br>and Futuna I|slands<br>12|
|French Guiana|83|||||
|Turks and Caicos Islands|<br>8|||||
**lxvi** INTRODUCTION

Table 19 Population Aged 0-14, 15-64, and 65 and Over for All Countries and Economies, 198S-2025 (percent)

|CoLmtry or economy<br>and age grouip|1985|1990|1995|2000|2005|2010|2015|2020|2025|
|---|---|---|---|---|---|---|---|---|---|
|World||||||||||
|0-14|33.7|32.6|32.0|31.2|30.0|28.7|27.5|26.6|25.7|
|15-64|60.4|61.4|61.7|62.2|63.2|64.4|65.1|65.3|65.3|
|65+|5.9|6.0|6.3|6.6|6.8|6.9|7.4|8.2|9.0|
|Africa||||||||||
|0-14|45.3|45.3|44.8|43.9|42.8|41.5|39.7|37.6|35.5|
|15-64|51.7<br>|51.7<br>|52.2<br>|53.1<br>|54.2<br>|55.5<br>|57.1<br>|58.9<br>|60.7<br>|
|65+|3.0|3.0|3.0|3.0|3.0|3.1|3.2|3.4|3.8|
|East Africa||||||||||
|0-14|45.7|45.9|45.5|44.9|43.9|42.7|41.0|39.0|37.0|
|15-64|51.4|51.3|51.7|52.2|53.2|54.4|56.0|57.7|59.5|
|65+<br>|2.9|2.9|2.8|2.8|2.8|2.9|3.0|3.2|3.5|
|Botswana||||||||||
|0-14|48.5|44.8|40.3|34.6|32.5|30.3|27.8|25.6|24.0|
|15-64|47.9|51.6|56.2|61.9|63.8|65.8|67.8|69.3|69.8|
|65.<br>|3.7|3.5|3.5|3.5|3.7|3.9|4.4|5.2|6.1|
|Burundi||||||||||
|0-14|43.4|45.5|47.4|47.6|46.1|43.7|42.0|40.6|38.8|
|15-64|52.9|51.3|49.7|49.7|51.3|53.8|55.5|56.7|58.1|
|65+|3.7|3.1|2.8|2.7|2.7|2.5|2.5|2.7|3.2|
|Comoros||||||||||
|0-14|48.1|47.2|48.8|47.7|45.6|44.0|42.3|40.2|37.6|
|15-64<br>|47.9<br>|49.9<br>|48.2<br>|49.7<br>|51.5<br>|53.2<br>|54.9<br>|57.0<br>|59.4<br>|
|65.|4.1|2.9|3.0|2.7|2.9|2.8|2.9|2.9|3.0|
|DJlbouti||||||||||
|0-14|45.7|44.8|44.8|44.3|43.5|42.0|40.5|38.6|36.5|
|15-64<br>|52.0<br>|52.8<br>|52.7<br>|53.1<br>|53.8<br>|55.0<br>|56.3<br>|57.8<br>|59.6<br>|
|65.|2.3|2.4|2.6|2.7|2.8|2.9|3.2|3.6|3.9|
|Ethiopia||||||||||
|0-14|44.2|43.8|43.3|44.4|44.0|42.8|40.7|38.9|37.2|
|15-64|53.1<br>|53.5<br>|53.9<br>|52.7<br>|53.1<br>|54.2<br>|56.1<br>|57.6<br>|59.1<br>|
|65+<br>|2.7|2.7|2.8|2.8|2.9|3.1|3.2|3.4|3.7|
|Kenya||||||||||
|0-14|52.3|52.9|51.6|50.1|48.8|47.7|46.1|44.0|41.7|
|15-64|45.2<br>|44.9<br>|46.3<br>|47.9<br>|49.2<br>|50.4<br>|51.9<br>|53.8<br>|55.9<br>|
|65+|2.5|2.2|2.1|2.1|2.0|2.0|2.0|2.2|2.4|
|Lesotho||||||||||
|0-14|41.9|42.7|42.8|41.7|39.9|37.8|35.6|33.2|30.7|
|15-64|53.8|53.1|53.1|54.2|56.1|58.2|60.5|62.6|64.7|
|65+<br>Madagascar|4.3|4.2|4.1|4.0|4.0|3.9|4.0|4.3|4.6|
|0-14|46.3|46.7|45.9|44.1|42.3|40.8|38.8|36.3|33.5|
|15-64|50.5|50.2|51.1|53.0|54.9|56.6|58.5|60.6|62.9|
|65+|3.3|3.1|3.0|2.9|2.8|2.6|2.7|3.1|3.6|
|MaLawi||||||||||
|0-14|47.0|47.8|48.5|49.2|48.8|47.7|46.1|44.8|43.4|
|15-64|50.4|49.6|49.0|48.4|48.8|50.0|51.5|52.9|54.2|
|65+|2.6|2.6|2.5|2.4|2.4|2.4|2.4|2.4|2.4|
|Mauritius||||||||||
|0-14|32.6|30.7|28.0|26.0|25.3|24.4|23.4|22.5|21.6|
|15-64|63.2<br>|64.6<br>|66.9<br>|68.4<br>|68.8<br>|69.4<br>|69.4<br>|68.8<br>|67.6<br>|
|65+|4.3|4.7|5.1|5.7|6.0|6.3|7.1|8.8|10.7|
INTRODUCTION Ixvii

**Table 19** (continued)

|Country or econany<br>andagegroup|1985|1990|1995|2000|2005|2010|2015|2020|2025|
|---|---|---|---|---|---|---|---|---|---|
|MozaurbiqLe<br>||||||||||
|0-14<br>|44.3<br>|44.2<br>|45.1<br>|45.6<br>|45.7|44.1|42.3|40.4|38.5|
|15-64<br>|52.9<br>|52.9<br>|52.1<br>|51.7<br>|51.5<br>|53.1<br>|54.8<br>|56.7|58.3|
|**65+**<br>|2.9|2.9|2.8|2.8|2.7|2.8|2.9|3.0|3.2|
|Naamibia<br>||||||||||
|0-14<br>|44.4<br>|45.3<br>|44.7<br>|43.2<br>|40.9<br>|39.1<br>|37.1<br>|34.6<br>|31.6|
|15-64<br>|52.4<br>|51.6|52.2|53.6|55.9|57.6|59.4|61.6|64.1|
|65+<br>Rdtmion|3.2|3.1|3.1|3.2|3.3|3.3|3.5|3.9|4.3|
|0-14|30.3|28.7|27.5|27.0|24.8|23.1|22.0|21.4|21.0|
|15-64|65.5|66.8|67.6|67.5|68.9|69.6|69.5|68.8|67.1|
|65+<br>|4.2|4.5|4.9|5.6|6.4|7.3|8.5|9.9|12.0|
|Rwanda||||||||||
|0-14<br>|46.8<br>|48.2<br>|49.9<br>|50.3<br>|49.9|47.8|46.4|45.2|43.9|
|15-64<br>|50.4<br>|49.0<br>|47.4<br>|47.2<br>|47.8<br>|50.0<br>|51.6<br>|52.6<br>|53.6<br>|
|65+<br>Seychel les|2.9|2.9|2.7|2.5|2.4|2.2|2.0|2.2|2.5|
|0-14|36.7|35.3|33.8|31.8|28.9|26.1|24.4|23.7|23.0|
|15-64<br>|57.0<br>|58.3<br>|60.0<br>|62.0<br>|64.9<br>|67.9|69.8|70.3|69.3|
|65+<br>|6.4|6.3|6.2|6.2|6.3|6.0|5.8|6.1|7.6|
|Samulia<br>||||||||||
|0-14<br>|45.5<br>|46.0<br>|46.2<br>|46.3<br>|46.0<br>|45.2|43.5|41.8|40.0|
|15-64<br>|51.7<br>|51.1<br>|50.9<br>|50.7<br>|51.1<br>|51.9<br>|53.5<br>|55.2<br>|56.8<br>|
|65+<br>|2.9|3.0|3.0|3.0|2.9|2.9|3.0|3.0|3.2|
|South Africa||||||||||
|0-14<br>|41.0|40.4|39.1|36.8|34.8|32.7|30.4|27.8|25.6|
|15-64<br>|55.0<br>|55.6<br>|56.8<br>|59.0<br>|60.9<br>|62.6<br>|64.6|66.5|68.0|
|65+<br>Swazilad|4.0|4.0|4.1|4.2|4.4|4.7|5.0|5.7|6.4|
|<br>0-14|48.3|48.5|46.9|44.6|42.9|41.6|39.8|37.1|34.1|
|15-64<br>|49.2<br>|49.3<br>|50.6<br>|53.0<br>|54.4<br>|55.8<br>|57.4<br>|59.8<br>|62.4|
|65+<br>|2.5|2.3|2.5|2.4|2.7|2.6|2.9|3.1|3.5|
|Tanzania||||||||||
|0-14<br>|48.6|49.1|48.6|47.5|46.2|45.1|43.5|41.4|38.9|
|15-64<br>|49.1<br>|48.7<br>|49.2<br>|50.3<br>|51.5<br>|52.5<br>|54.0<br>|56.1<br>|58.3<br>|
|65+|2.3|2.3|2.3|2.3|2.3|2.4|2.5|2.6|2.7|
|Uga.lda<br>||||||||||
|0-14<br>|47.9<br>|48.6<br>|48.0<br>|46.8<br>|44.8|43.4|41.7|39.6|37.0|
|15-64<br>65|49.6<br>25|49.0<br>24|49.6<br>24|50.8<br>24|52.9<br>|54.3<br>|55.9<br>|57.8<br>|60.1<br>|
|+<br>|.|.|.|.|2.3|2.3|2.4|2.6|2.9|
|Zaire||||||||||
|0-14<br>|45.2<br>|45.2<br>|45.0<br>|44.9|44.8|44.2|42.7|40.4|38.2|
|15-64<br>|51.9<br>|51.8<br>|52.0<br>|52.1<br>|52.1<br>|52.7<br>|54.1<br>|56.3<br>|58.3<br>|
|65+|2.9|3.0|3.0|3.0|3.0|3.1|3.2|3.3|3.5|
|Zambia||||||||||
|0-14<br>|48.7<br>|49.3<br>|49.5|48.7|47.3|46.0|44.4|42.3|39.9|
|15-64|49.0|48.4|48.3|49.1|50.5|51.8|53.4|55.4|57.5|
|65+<br>|2.3|2.3|2.2|2.2|2.2|2.2|2.2|2.4|2.6|
|Zimbabwe||||||||||
|0-14|47.3|46.2|45.2|40.5|36.4|33.0|30.2|27.6|25.6|
|15-64<br>|50.2|51.4|52.4|57.0|60.8|63.9|66.2|68.0|69.1|
|65+<br>|2.5|2.3|2.4|2.5|2.8|3.1|3.6|4.4|5.3|
|West Africa||||||||||
|0-14|46.5|46.6|46.0|45.3|44.4|43.3|41.6|39.4|37.0|
|15-64<br>|50.7<br>|50.6<br>|51.1<br>|51.9<br>|52.7<br>|53.8<br>|55.4|57.5|59.7|
|65+|2.8|2.8|2.8|2.9|2.9|2.9|3.0|3.1|3.3|
## lxvill INTRODUCTION

# Table 19 (continued)

|Country<br>or economy<br>and age group|1985|1990|1995|2000|2005|2010|2015|2020|2025|
|---|---|---|---|---|---|---|---|---|---|
|Angola||||||||||
|0-14|44.6|44.8|45.0|45.9|46.4|;5.8|44.0|42.1|40.5|
|15-64|52.4|52.2|51.9|51.0|50.7|51,3|53.1|54.9|56.5|
|65+|30|31|31|30|30|<br>30|30|30|?1|
|<br>BenTn|.|.|.|.|.|.|.|.|.|
|0-14|46.7|47.6|46.8|45.1|43.3|41.8|39.9|37.3|34.5|
|15-64<br>|50.4<br>|49.7<br>|50.5<br>|52.3<br>|54.1<br>|55.6<br>|57.3<br>|59.7<br>|62.2<br>|
|650|2.9|2.7|2.7|2.6|2.7|2.7|2.8|3.0|3.3|
|Burkina Faso||||||||||
|<br>0-14|44.3|45.5|46.0|46.2|45.6|44.6|42.7|40.9|39.0|
|15*64|52.5|51.4|51.0|50.9|51.6|52.6|54.5'|56.4|58.3|
|65.|3.2|3.1|3.0|2.9|2.8|2.8|2.8|2.7|2.8|
|Cameroon||||||||||
|0-14|45.5|47.2|46.2|45.4|44.9|44.4|43.1|40.8|38.2|
|<br>15-64|<br>50.5|49.0|<br>50.3|51.3|52.0|52.7|53.9|56.1|58.5|
|65+|3.9|<br>3.7|<br>3.5|<br>**_3.3_**|3.1|<br>2.9|<br>3.0|<br>3.1|<br>3.3|
|Cape Verde||||||||||
|<br>0-14|45.2|43.9|44.3|43.6|41.1|36.8|33.1|30.3|28.2|
|15-64|49.7|52.0|52.0|52.7|55.1|60.1|64.5|67.1|68.1|
|65+|5.2|<br>4.1|<br>3.7|<br>3.8|<br>.8|<br>3.2|<br>2.4|<br>2.5|<br>3.7|
|Central<br>African<br>Rep.||||||||||
|0-14|43.1|41.8|42.0|42.1|41.6|40.7|39.0|36.5|33.9|
|15-64|54.6|55.2|54.5|54.0|54.4|55.3|57.1|59.8|62.3|
|65+<br>Chad|P.3|<br>3.0|<br>3.6|<br>3.9|<br>4.1|<br>4.1|<br>3.9|<br>3.8|<br>3.8|
|0-14|41.0|41.9|43.0|43.7|43.7|42.9|41.1|39.4|37.5|
|15-64|55.5|54.5|53.4|52.6|52.7|53.5|55.1|56.9|58.6|
|65+|3.5|<br>3.6|<br>3.7|<br>3.7|<br>3.7|<br>3.7|<br>3.7|<br>3.8|<br>3.9|
|Congo People's Rep of the||||||||||
|, .<br>0-14|44.7|45.8|47.0|47.7|47.0|46.1|44.7|42.7|40.7|
|15-64|51.3<br>|50.2<br>|49.0<br>|48.5<br>|49.5<br>|50.7<br>|52.3<br>|54.3<br>|56.2<br>|
|65+<br>|4.0|4.1|4.0|3.8|3.5|3.2|3.0|3.0|3.1|
|C6te d'lvoire||||||||||
|0-14|45.1|46.3|47.0|47.4|46.2|45.3|44.2|42.7|40.7|
|15-64|52.3<br>|51.2<br>|50.4<br>|50.0<br>|51.1<br>|51.9<br>|52.7<br>|54.1<br>|56.0<br>|
|65+|2.6|2.6|2.7|2.7|2.8|2.8|3.1|3.2|3.2|
|Equatorial Guinea||||||||||
|<br>0-14|38.1|39.5|40.9|41.9|40.9|39.5|37.4|35.4|33.5|
|15-64|57.6<br>|56.3<br>|54.9<br>|53.9<br>|54.8<br>|56.2<br>|58.2<br>|60.0<br>|61.3<br>|
|65+<br>|4.3|4.2|4.2|4.2|4.3|4.3|4.4|4.6|4.8|
|Gabon||||||||||
|0-14|36.9|39.1|41.4|43.5|43.9|43.5|42.5|40.8|39.2|
|15-64|58.1|56.0|53.9|51.8|51.6|52.1|53.1|54.9|56.5|
|65+|5.0|4.9|4.8|4.7|4.5|4.4|4.3|4.3|4.3|
|Gambia,<br>The||||||||||
|0-14|42.7|43.8|44.3|44.9|45.0|44.7|43.7|42.1|40.5|
|15-64|55.0|53.6|53.0|52.3|52.0|52.2|53.1|54.6|56.1|
|65+|2.3|2.5|2.7|2.9|3.0|3.1|3.2|3.3|3.4|
|Ghana||||||||||
|0-14|46.7|46.8|46.0|i4.8|42.9|41.2|39.2|36.7|34.0|
|15-64|50.5|50.3|51.1|52.3|54.2|55.8|57.7|60.0|62.3|
|65+<br>|2.9|2.9|2.9|2.9|2.9|3.0|3.1|3.3|3.7|
|Guinea||||||||||
|0-14|40.8|42.5|43.8|44.0|44.1|43.8|42.9|41.1|39.2|
|15-64|55.7|54.0|52.7|52.5|52.5|52.9|53.9|55.6|57.4|
|65+|3.5|<br>3.6|<br>3.6|<br>3.5|<br>3.4|<br>3.3|<br>3.3|<br>3.3|<br>3.4|
INTRODUCTION Ixix Table 19 (contInued)

|Country or economy<br>and age group|1985|1990|1995|2000|2005|2010|2015|2020|2025|
|---|---|---|---|---|---|---|---|---|---|
|Guinea-Bissau||||||||||
|0-14|42.9|43.5|43.7|44.4|44.6|44.1|42.9|40.8|38.8|
|15-64|53.6<br>|53.3<br>|53.3<br>|52.7|52.8|53.3|54.6|56.7|58.6|
|65+<br>|3.5|3.2|3.1|2.8|2.7|2.6|2.6|2.5|2.6|
|Liberia||||||||||
|0-14<br>|45.7<br>|46.4<br>|46.1<br>|44.1<br>|42.4<br>|41.1<br>|39.5<br>|37.2<br>|34.4<br>|
|15-64|51.5|50.6|50.8|52.7|54.3|55.5|57.1|59.2|61.6|
|65+|28|3 0|31|32|33|34|35|37|<br>39|
|<br>Mati|.||.|.|.|.|.|.|<br>.|
|0-14|46.1|46.9|47.3|47.6|47.0|46.2|44.7|43.1|41.4|
|15-64<br>|50.4|50.0|49.8|49.7|50.3|51.1|52.7|54.4|56.1|
|65+<br>|3.F|3.1|<br>2.9|2.7|<br>2.7|<br>2.7|<br>2.7|<br>2.5|<br>2.5|
|Mauritania||||||||||
|0-14|43.5|44.3|45.2|46.5|46.7|46.3|45.0|43.1|41.3|
|15-64|53.2<br>|52.3<br>|51.5<br>|50.2<br>|50.2<br>|50.8|52.2|54.2|56.?.|
|65+|3.3|3.4|3.4|3.3|3.1|30|29|28|27|
|<br>Niger||||||.|.|.|.|
|0-14|46.2|47.|47.5|48.0|48.7|48.7|47.7|45.9|44.4|
|15-64|51.3<br>|50.4<br>|50.0<br>|49.5<br>|48.8<br>|48.9<br>|49.9<br>|51.7<br>|53.2<br>|
|65+|2.5|2.6|2.6|2.5|2.4|2.4|2.4|2.4|2.5|
|Nigeria||||||||||
|0-14|48.3|47.6|46.4|44.8|43.7|42.3|40.4|37.8|35.0|
|15-64<br>|49.3<br>|49.9<br>|51.1<br>|52.5<br>|53.6<br>|54.8<br>|56.6<br>|59.0<br>|61.6<br>|
|65.<br>Sa6Tom6 and Principe|2.4|2.5|2.6|2.7|2.8|2.9|3.0|3.2|3.5|
|<br>0-14|40.7|41.8|41.6|39.5|37.1|35.2|33.2|30.8|28.1|
|15-64<br>|53.7<br>|53.6<br>|53.6|55.7|58.2|59.7|61.5|63.9<br>|66.1|
|65+|5.6|<br>4.6|<br>4.8|4.8|<br>4.7|<br>5.1|<br>5.2|<br>5.3|5.8|
|Senegal||||||||||
|0-14|46.5|45.3|45.1|45.4|45.8|44.7|42.5|40.5|38.6|
|15-64|50.7|51.8|52.0|51.7|51.4|52.5|54.6|56.4|58.1|
|65+<br>|2.9|<br>2.9|<br>2.9|<br>2.9|<br>2.8|<br>2.8|<br>2.9|<br>3.1|<br>3.3|
|Sierra Leone||||||||||
|0-14|42.5|43.3|43.8|44.4|44.7|44.4|43.4|41.7|40.0|
|15-64|54.6<br>|53.6<br>|53.0<br>|52.3<br>|52.1<br>|52.3<br>|53.3<br>|55.0<br>|56.6<br>|
|65+|3.0|3.1|3.2|3.3|3.3|3.3|3.3|3.3|3.4|
|Togo||||||||||
|0-14|46.9|47.6|47.5|46.1|43.9|42.1|40.1|37.6|34.8|
|15-64<br>|50.0<br>|49.3<br>|49.5<br>|51.0<br>|53.1<br>|54.9<br>|56.9<br>|59.3<br>|61.8<br>|
|65+<br>|3.2|3.1|3.0|3.0|3.0|3.1|3.1|3.1|3.4|
|other West Africa (a)||||||||||
|<br>0-14|35.3|33.2|29.8|28.7|27.0|25.5|24.3|23.3|22.3|
|15-64<br>|55.6<br>|58.1<br>|62.0<br>|63.4<br>|65.4<br>|66.8<br>|68.0|68.2<br>|68.5|
|65.|9.1|8.7|8.2|8.0|7.6|7.7|7.7|8.5|9.3|
|<br>North Africa||||||||||
|0-14|42.6|42.2|41.2|39.4|37.6|35.4|33.2|30.9|28.8|
|15-64|53.8|54.3|55.3|57.0|58.7|61.0|62.9|64.5|65.9|
|65.|3.6|3.5|<br>3.5|3.6|3.7|3.6|3.9|4.6|5.4|
|Algeria||||||||||
|0-14|45.7|44.3|'<br>'|42.2|40.4|37.1|33.9|31.0|28.4|
|15-64|50.7|52.4|._|54.6|56.4|59.8|62.8|65.2|67.0|
|65+<br>|3.7|3.3|3.1|3.1|3.2|3.1|3.3|3.9|4.6|
|Egypt, Arab Rep. of||||||||||
|<br>0-14|40.5|40.7|39.0|36.2|34.0|32.1|30.1|27.7|25.6|
|15-64<br>|55.6<br>|55.4<br>|57.0<br>|59.7<br>|61.8<br>|63.6<br>|65.2<br>|66.5<br>|67.7<br>|
|65+|3.9|3.9|4.0|4.1|4.2|4.3|4.8|5.8|6.8|
Lxx **INTRODuCnON** Table 10 (continued)

|Country or economy<br>and age group|1985|1990|1995|2000|2005|2010|2015|2020|2025|
|---|---|---|---|---|---|---|---|---|---|
|Libya||||||||||
|0-14|46.4|46.0|46.0|45.7|45.1|43.9|42.6|41.0|39.3|
|15-64|51.3|51.6|51.5|51.7|52.1|53.0|54.1|55.5|57.1|
|65+|2.3|2.4|2.5|2.7|2.9|3.1|3.3|3.5|3.6|
|Norocco||||||||||
|0-14|42.2|41.0|39.9|38.3|36.1|33.2|30.4|28.0|26.1|
|15-64|53.S|55.5|56.3|58.0|60.0|63.1|65.5|67.2|68.1|
|65+<br>|3.9|3.6|3.8|3.7|3.9|3.8|4.1|4.8|5.9|
|Sudan||||||||||
|0-14|45.0|45.4|45.1|44.4|43.4|42.0|40.2|37.9|35.3|
|15-64|52.2|51.9|52.3|53.0|54.0|55.4|57.1|59.2|61.5|
|65+|28|27|27|26|26|27|28|29|32|
|<br>Tunisia|.|.|.|.|.|.|.|.|.|
|0-14|39.6|37.7|36.0|33.7|313|282|258|243|236|
|<br>15-64|<br>56.5|<br>58.2|<br>59.6|<br>61.5|.<br>63.6|.<br>66.8|.<br>69.1|.<br>69.6|.<br>68.8|
|65+|3.8|4.1|4.4|4.8|5.1|5.0|5.1|6.1|7.6|
|OtherNorth Africa (a)||||||||||
|<br>0-14|43.0|43.9|44.3|44.8|43.5|42.4|41.3|40.1|38.6|
|15-64|53.2|52.2|i2.1|51.7|53.1|54.4|55.4|56.5|58.0|
|65+|3.9|3.9|3.6|3.5|3.4|3.2|3.2|3.4|3.4|
|A-terica||||||||||
|0-14|31.3|30.4|29.5|27.9|26.0|24.3|23.2|22.6|22.0|
|15-64|61.4|62.2|63.0|64.6|66.3|67.5|67.7|67.1|66.2|
|65+|7.4|7.4|7.5|7.5|7.7|8.2|9.1|10.4|11.8|
|Latin America and Caribbean||||||||||
|0-14|37.6|35.9|34.3|32.0|29.5|27.2|25.6|24.6|23.7|
|15-64|57.9<br>|59.5<br>|61.0<br>|63.0<br>|65.1|67.0|67.9|68.0|67.7|
|65+|4.5|4.5|4.7|5.0|5.4|5.8|6.5|7.5|8.6|
|Antigua and Barbuda||||||||||
|<br>0-14|44.1|35.1|28.0|23.3|25.4|26.0|24.6|22.2|20.3|
|15-64|50.8|59.0|65.4|69.6|67.3|66.7|68.1|70.6|71.9|
|65+|5.1|5.9|6.6|7.1|7.3|7.3|7.3|7.2|7.8|
|Argentina||||||||||
|0-14|30.5|29.9|28.0|26.3|24.7|23.7|23.0|22.5|21.8|
|15-64|60.9|61.2|62.8|64.2|65.6|66.4|66.5|66.2|66.1|
|65+|8.6|8.9|9.2|9.5|9.7|10.0|10.5|11.3|12.0|
|Bahamas||||||||||
|0-14|38.0|33.2|30.8|29.2|27.1|25.2|23.8|22.8|22.0|
|15-64|58.5|62.9|64.8|65.8|67.2|68.2|68.6|68.8|69.1|
|65+<br>|3.5|4.0|4.4|5.0|5.8|6.7|7.6|8.4|9.0|
|Barbados||||||||||
|0-14|26.7|23.7|22.8|21.9|20.7|19.4|18.3|17.7|17.6|
|15-64|63.5|66.3|66.9|67.9|68.6|69.6|69.4|67.6|64.8|
|65+|9.8|10.0|10.3|102|107|110|123|147|176|
|<br>Betize||||.|.|.|.|.|.|
|0-14|45.6|42.4|40.3|41.4|39.5|36.1|32.0|28.4|26.1|
|15-64|50.6|53.5|55.7|54.9|56.5|59.9|64.0|67.8|69.5|
|65+|3.8|4.1|4.0|3.8|4.0|4.1|4.0|3.8|4.3|
|Bolivia||||||||||
|0-14|43.8|44.0|43.8|42.9|41.3|39.2|36.9|34.4|31.7|
|15-64|531|528|529|539|554|575|596|619|641|
|<br>65+|.<br>3.2|.<br>3.2|.<br>3.3|.<br>3.3|.<br>3.3|.<br>3.3|.<br>3.5|.<br>3.8|.<br>4.1|
INTRODUCrnON bCXi

**Table 19** (continued)

|Country or economy||||||||||
|---|---|---|---|---|---|---|---|---|---|
|and age group|1985|1990|1995|2000|2005|2010|2015|2020|2025|
|Brazil||||||||||
|0-14|36.4|35.3|33.6|31.0|28.0|25.6|24.3|23.7|23.1|
|15-64|59.3|60.3|61.8|64.1|66.6|68.5|69.0|68.4|67.7|
|65.<br>|4.3|4.4|4.6|4.9|5.4|5.9|6.8|7.9|9.3|
|Chile||||||||||
|0-14|31.5|30.5|29.7|27.5|24.9|23.2|22.6|22.3|<br>21.7|
|15-64|62.7|63.6|64.1|65.9|68.1|69.0|68.7|67.7|<br>66.7|
|65+<br>Cotombia|5.8|5.9|6.2|6.6|7.0|7.8|8.7|10.0|<br>11.6|
|0-14|37.2|35.4|33.3|30.5|28.2|25.9|24.5|23.7|23.0|
|15-64|59.1|60.6|62.4|65.0|66.9|68.7|69.3|68.9|<br>68.2|
|65+|3.8|4.1|4.3|4.6|4.9|5.4|6.2|7.4|8.8|
|Costa Rica||||||||||
|0-14|36.8|36.1|34.0|30.9|27.5|25.0|23.8|23.2|<br>22.6|
|15-64|59.3|59.8|61.6|64.2|67.2|69.1|69.4|68.6|<br>67.5|
|65+|3.9|4.1|4.5|4.9|5.3|5.9|6.9|8.2|10.0|
|0-14|25.7|22.4|22.4|22.8|21.7|20.2|19.0|18.4|18.5|
|15-64|66.4|69.4|69.0|68.0|68.1|68.3|68.3|67.8|<br>66.8|
|65+|8.0|8.2|8.6|9.1|10.2|11.5|12.8|<br>13.8|<br>14.7|
|Dominica||||||||||
|0-14|44.7|40.9|35.2|26.6|26.0|26.3|26.1|24.6|<br>22.4|
|15-64|49.8|53.3|58.6|66.3|66.3|65.7|65.9|67.5|<br>69.3|
|65+<br>Dominican Rep.|5.5|5.8|6.3|7.1|7.7|8.0|8.0|7.9|<br>8.3|
|<br>0-14|39.7|37.9|36.1|33.5|30.5|27.7|25.5|24.1|23.4|
|15-64|57.1|58.8|60.2|62.3|64.9|67.?|68.6|69.1|<br>68.5|
|65+|3.3|3.3|3.8|4.2|4.7|5.2|5.9|6.8|8.1|
|Ecuador||||||||||
|0-14|41.8|40.1|38.2|35.3|32.6|30.0|27.7|25.8|24.3|
|15-64|54.5|56.3|58.2|61.0|63.4|65.6|67.3|68.4|<br>68.9|
|65+<br>El Salvador|3.7|3.6|3.6|3.7|4.0|4.4|5.0|5.9|6.8|
|0-14|46.1|44.2|41.8|40.3|38.6|36.5|33.7|30.6|<br>27.9|
|15-64<br>|50.6<br>|52.3<br>|54.5|55.8|57.4|59.3|62.1|65.0|<br>67.5|
|65+|3.4|3.5|3.7|3.8|4.0|4.2|4.2|4.4|4.6|
|Grenada||||||||||
|0-14|35.1|35.9|36.5|33.1|29.0|25.7|24.2|23.9|23.3|
|15-64|58.7|58.7|58.1|61.5|65.7|69.2|71.0|<br>70.2|<br>69.1|
|65+|6.2|5.4|5.4|5.4|5.3|5.1|4.8|5.9|<br>7.6|
|Guadeloupe||||||||||
|0-14|28.2|26.1|26.9|25.2|23.7|22.4|21.5|<br>21.1|<br>20.7|
|15-64|64.0|65.6|64.2|65.6|66.7|67.4|67.4|67.4|<br>66.7|
|65+|7.8|8.3|8.9|9.2|9.6|10.2|11.1|<br>11.5|<br>12.6|
|Guatemala||||||||||
|0-14|45.9|45.7|44.6|43.0|41.0|38.8|36.3|33.5|<br>30.7|
|15-64|51.2|51.3|52.2|53.7|55.7|57.9|60.3|62.6|<br>65.0|
|65+|2.9|3.0|3.2|3.3|3.3|3.3|3.5|3.9|<br>4.3|
|GuyWanr||||||||||
|0-14|36.9|36.0|33.2|29.5|25.7|23.8|23.5|<br>23.2|<br>22.2|
|15-64|59.1|59.6|61.9|64.7|68.1|69.6|68.8|67.4|66.4|
|65+<br>|4.0|4.4|5.0|5.7|6.3|6.7|7.7|9.4|<br>11.5|
|Halt i||||||||||
|0-14|40.2|38.8|38.3|37.6|36.5|34.1|31.6|29.3|27.4|
|15-64|56.0|57.4|57.8|58.4|59.4|61.6|63.9|65.8|67.2|
|65+|3.8|3.8|3.9|4.0|4.1|4.3|4.6|4.9|<br>5.4|
# lxxf i INTRODUCTiON

Table 19 (continued)

|Country<br>or economy<br>and age group|1985|1990|1995|2000|2005|2010|2015|2020|2025|
|---|---|---|---|---|---|---|---|---|---|
|Honduras||||||||||
|0-14|46.3|44.7|43.6|41.8|39.6|36.9|33.9|31.0|28.3|
|15-64|50.4|52.1|53.3|55.2|57.2|59.8|62.5|65.0|67.1|
|65+|33|31|31|<br>31|<br>31|<br>33|<br>16|<br>40|<br>46|
|<br>Jamaica|.|.|.|<br>.|<br>.|<br>.|<br>.|<br>.|<br>.|
|0-14|36.6|34.7|33.0|29.8|26.7|24.4|23.4|22.7|21.8|
|15-64<br>|57.3<br>|59.2<br>|60.6<br>|63.6<br>|66.7<br>|69.2<br>|70.2<br>|70.2<br>|68.6<br>|
|65.|6.1|6.2|6.4|6.6|6.5|6.4|6.5|7.1|9.7|
|Martinique||||||||||
|0-14|24.5|23.3|25.1|24.7|23.5|21.5|20.3|20.0|20.2|
|15-64|65.9|66.5|64.5|64.5|65.4|67.0|67.8|67.6|65.8|
|65+<br>Mexico|9.7|10.2|10.4|10.8|11.1|11.5|11.9|12.4|14.1|
|0-14|40.9|37.1|34.9|32.4|29.6|26.8|24.8|23.8|23.2|
|I5-64<br>|55.5<br>|59.2<br>|61.2<br>|63.4<br>|65.8<br>|6S.0<br>|69.4<br>|69.4<br>|68.9<br>|
|65.|3.6|3.7|3.8|4.2|4.6|5.2|5.8|6.8|8.0|
|Montserrat||||||||||
|0-14|30.5|28.3|26.4|27.6|25.7|23.5|21.9|21.1|20.8|
|15-64<br>|56.7<br>|59.3<br>|61.8<br>|61.6<br>|64.7<br>|67.5<br>|68.7<br>|68.5<br> <br>|67.4<br>|
|65+|12.7|12.4|11.8|10.8|9.7|9.0|9.4|<br>10.5|11.9|
|Netherlands<br>Antilles||||||||||
|0-14|34.7|30.5|29.2|26.5|26.9|26.0|24.5|23.0|22.0|
|15-64|59.6<br>|63.7<br>|64.9<br>|67.6<br>|66.8<br>|67.1<br>|68.0|68.8<br>|69.3<br>|
|65+<br>'|5.7|5.8|5.9|6.0|6.3|6.9|7.5|<br>8.2|8.8|
|icaragua||||||||||
|0-14|46.8|46.0|44.4|42.2|39.6|37.2|34.5|31.5|28.5|
|15-64|50.7<br>|51.5<br>|52.8<br>|54.9<br>|57.4<br>|59.7<br>|62.0<br>|64.3<br>|66.6|
|65+|2.5|2.6|2.7|2.9|3.0|3.2|3.5|4.2|4.9|
|Panama||||||||||
|0-14|37.5|35.0|32.4|29.5|26.3|24.5|23.7|23.0|22.1|
|15-64<br>|58.0<br>|60.4<br>|62.7|65.3<br>|67.9<br>|69.0<br>|68.9<br>|68.5<br>|68.0<br>|
|65.<br>|4.5|4.6|4.9|<br>5.3|5.8|6.5|7.4|8.5|9.9|
|Paraguay||||||||||
|0-14|41.0|40.5|40.0|38.5|36.3|33.8|31.5|29.4|27.1|
|15-64|55.5|56.0|56.5|58.1|60.1|62.5|64.3|65.4|66.5|
|65+|3.5|3.5|3.5|3.4|3.6|3.8|4.2|5.3|6.4|
|Peru||||||||||
|0-14|40.5|38.2|36.3|33.6|31.5|28.6|26.2|24.6|23.8|
|15-64|55.9<br>|58.0<br>|59.8<br>|62.1<br>|63.8<br>|66.1<br>|67.9<br>|68.7<br>|68.5<br>|
|65+|3.6|3.7|4.0|4.4|4.8|5.3|5.9|6.7|7.7|
|St. Kitts<br>and Nevis||||||||||
|0-14|37.3|34.9|32.3|29.9|28.6|27.3|25.7|24.1|22.8|
|15-64|53.1<br>|54.7<br>|57.4<br>|60.0<br>|62.1<br>|64.6<br>|67.9<br>|70.9<br>|72.0<br>|
|65+|9.6|10.4|10.4|10.1|9.4|8.1|6.4|5.0|5.3|
|St. Lucia||||||||||
|0-14|46.0|40.2|35.3|33.3|30.9|28.6|26.1|24.4|23.3|
|15-64|48.1|54.5|59.3|61.0|63.3|65.6|68.4|70.4|71.3|
|65.|5.8|5.4|5.4|5.7|5.8|5.8|5.5|5.2|5.4|
|St Vincent and the Grena|dines|||||||||
|.<br>0-14|<br>37,7|35.4|31.6|28.3|26.2|25.2|24.3|23.1|21.9|
|15-64|57.4|59.5|63.4|66.9|69.2|70.1|70.1|69.9|68.7|
|65+<br>|4.9|5.1|5.0|4.9|4.6|4.7|5.6|7.0|9.5|
|Suriname||||||||||
|0-14|37.1|35.7|36.4|35.0|31.4|27.8|25.3|24.3|23.8|
|15-64|58.7|60.1|59.2|60.1|63.3|66.8|69.1|69.8|69.1|
|65+|4.3|<br>4.2|<br>4.5|<br>4.9|<br>5.3|<br>5.4|<br>5.5|<br>6.0|<br>7.0|
INTRODUCTnON Lxxiii Table 19 (continued)

|Country<br>or economy<br>and age group|1985|1990|1995|2000|2005|2010|2015|2020|2025|
|---|---|---|---|---|---|---|---|---|---|
|Trinidad and Tobago||||||||||
|<br>0-14|32.9|32.7|31.4|28.8|25.4|23.6|23.1|22.9|22.2|
|15-64|61.6<br>|61.9<br>|63.1<br>|65.6<br>|68.5<br>|69.6<br>|69.0<br>|67.9<br>|66.8<br>|
|65+<br>|5.5|5.4|5.5|5.6|6.1|6.9|7.9|9.3|11.1|
|Uruguay||||||||||
|0-14|26.9|26.3|25.3|24.2|23.0|22.3|22.0|21.7|21.1|
|15-64|62.4|62.7|63.0|63.7|64.9|65.7|66.0|66.2|65.9|
|65+<br>|10.8|11.1|11.7|12.1|12.2|12.1|12.0|12.2|12.9|
|Venezuela||||||||||
|0-14|39.5|38.3|36.3|33.6|30.5|27.6|25.5|24.1|23.4|
|15-64|57.1|58.2|59.8|62.3|65.0|67.3|68.4|68.6|68.1|
|65+|3.4|3.5|3.9|4.2|4.6|5.1|6.1|7.3|8.5|
|Virgin Islands (U.S.)||||||||||
|<br>0-14|36.0|31.7|28.3|26.4|24.8|24.4|23.6|22.4|21.3|
|15-64|59.4<br>|63.1<br>|65.7<br>|66.9<br>|67.8<br>|67.1<br>|66.2<br>|65.7<br>|66.7<br>|
|65+|4.6|5.2|6.0|6.6|7.4|8.5|10.2|11.9|12.0|
|Other Latin<br>America<br>(a)||||||||||
|<br> <br><br>0-14|36.4|34.0|30.8|29.3|27.2|25.4|24.2|23.3|22.4|
|15-64|58.7<br>|61.8<br>|64.4<br>|65.7<br>|67.3<br>|68.5<br>|69.2<br>|69.2<br>|68.7<br>|
|65+|5.0|4.3|4.8|5.0|5.5|6.2|6.6|7.6|9.0|
|Northern America||||||||||
|0-14|21.8|21.7|21.6|20.7|19.6|18.9|18.6|18.6|18.6|
|15-64|66.5<br>|66.4<br>|66.4<br>|67.4<br>|68.5<br>|68.6<br>|67.3<br>|65.2<br>|63.1<br>|
|65+<br>Canada|11.7|12.0|12.1|11.9|11.8|i2.5|14.1|16.2|18.4|
|0-14|21.5|21.0|20.3|19.3|18.2|17.6|17.5|17.5|17.5|
|15-64|68.1|68.0|68.0|68.7|69.5|69.2|67.5|65.3|63.0|
|65.|10.4|11.1|11.6|12.0|12.3|13.2|15.1|17.2|19.5|
|<br>United<br>States||||||||||
|0-14|21.7|21.7|21.6|20.8|19.7|19.0|18.7|18.7|18.6|
|i5*64|66.4|66.2|66.3|67.3|68.4|68.6|67.2|65.2|63.0|
|65+|11.9|12.1|12.1|11.9|11.8|12.4|14.1|16.2|18.3|
|Puerto<br>Rico||||||||||
|0-14|29.7|28.4|26.6|24.5|22.8|22.0|21.4|20.8|20.1|
|15-64|62.1<br>|63.2<br>|64.8<br>|66.4<br>|67.4<br>|67.3<br>|66.5<br>|66.2<br>|65.8<br>|
|65+|8.3|8.4|8.7|9.1|9.8|10.8|12.1|13.0|14.|
|Other Northern<br>America<br>(a)||||||||||
|0-14|23.6|23.1|23.5|22.8|21.4|20.1|19.5|19.5|19.6|
|15-64<br>|70.1<br>|70.4<br>|69.3<br>|69.0<br>|69.5<br>|69.5<br>|68.2<br>|66.4<br>|64.6<br>|
|65.|6.3|6.5|7.2|8.2|9.1|10.4|12.3|14.1|15.9|
|Asia||||||||||
|0-14|35.2|33.3|32.3|31.5|29.9|28.1|26.6|25.4|24.5|
|15-64|60.2|61.9|62.4|62.9|64.2|65.7|66.6|66.9|66.9|
|65+|4.6|4.9|5.2|5.6|5.9|6.2|6.8|7.7|8.6|
|East and Southeast Asia||||||||||
|0-14|31.4|28.6|27.9|27.5|25.0|24.0|22.6|21.8|21.5|
|15-64|63.4|65.7|65.9|65.6|<br>66.8|68.3|68.9|68.2|<br>67.4|
|65+|52|57|63|69|73|77|86|100|111|
|<br>grunei|.|.|.|.|.|.|.|.|.|
|0-14|35.0|34.2|32.9|30.0|27.5|25.3|23.6|22.6|22.0|
|15-64|61.9<br>|61.8<br>|62.5<br>|64.9<br>|66.7|68.4<br>|68.9|68.1|66.4|
|65+|3.1|4.0|4.6|5.1|5.7|6.4|7.5|9.3|11.6|
# lxxiv INTRODUCTION

Table 19 (continued)

|X<br>rxntry or econony<br>and age group|1985|1990|1995|2000|2005|2010|2015|2020|2025|
|---|---|---|---|---|---|---|---|---|---|
|Cambodia||||||||||
|0-14|39.2|37.7|37.0|35.7|33.4|30.4|27.8|25.9|24.8|
|15-64|57.0<br>|58.3<br>|58.8<br>|59.8|61.8|64.8|67.2|<br>68.5|68.7|
|65+<br> <br>|3.8|4.1|4.2|4.6|4.8|<br>4.9|5.0|5.6|6.6|
|China (excluding<br>Taiwan)||||||||||
|0-14|29.6|26.2|26.0|26.4|24.9|23.0|21.6|20.9|20.8|
|15-64|65.1<br>|67.9<br>|67.6<br>|66.6<br>|6T.6<br>|69.2<br>|69.7<br>|68.5<br>|67.4<br>|
|65+|5.3|5.9|6.4|7.0|7.5|7.8|8.8|10.6|11.8|
|Taiwan,<br>China||||||||||
|<br>0-14|30.4|28.4|25.2|21.7|20.2|20.1|19.9|19.4|18.6|
|15-64|64.7|65.6|67.5|70.2|71.0|70.8|69.9|<br>68.0|66.1|
|65+|4.9|<br>6.0|<br>7.3|<br>8.2|<br>8.8|<br>9.1|<br>10.1|12.7|15.3|
|Hong Kong||||||||||
|<br>0-14|23.1|22.2|21.5|20.8|19.2|18.2|17.8|17.8|17.9|
|15-64|69.3|69.3|69.0|68.8|<br>70.1|71.3|69.8|<br>67.1|63.5|
|65+<br>|7.6|<br>8.6|<br>9.6|<br>10.4|10.7|10.5|12.3|15.1|18.7|
|Indonesia||||||||||
|0-14|38.8|36.3|33.5|31.4|28.7|26.5|25.0|24.1|23.4|
|-564|57.8<br>|59.8<br>|62.1<br>|63.9|66.0|67.7|68.7|68.8|68.4|
|65+|3.4|3.9|4.3|4.8|5.3|5.8|6.3|7.1|8.2|
|Japan||||||||||
|0-14|21.5|18.5|17.2|16.9|17.1|17.0|16.7|16.5|16.6|
|15-64<br>|68.2<br>|69.9<br>|69.4<br>|67.8<br>|66.0<br>|64.4<br>|62.2<br>|61.6<br>|61.8<br>|
|65+<br>Korea Oem Peole's Re of|10.3|11.5|13.4|15.4|17.0|18.7|21.1|21.9|21.6|
|, . p p.<br>0-14|32.6|35.0|41.8|38.4|33.8|30.4|29.3|29.3|28.1|
|15-64|64.8<br>|62.1<br>|55.0<br>|58.2<br>|62.5<br>|65.6<br>|65.9<br>|65.0<br>|65.1|
|65+<br>|2.6|2.9|3.2|3.5|3.7|4.0|4.7|5.8|6.8|
|Korea, Rep. of||||||||||
|<br>0-14|38.7|36.8|34.9|32.6|30.0|27.2|25.1|23.8|23.1|
|15-64|57.7|59.3<br>|60.9|62.7<br>|64.8|67.1<br>|68.6|69.0|68.0|
|65+|3.6|<br>3.9|4.2|<br>4.7|5.2|<br>5.7|6.4|<br>7.3|8.8|
|Lao People's Dem. Rep.||||||||||
|<br>0-14|30.0|27.5|24.7|23.5|21.8|21.1|20.4|<br>19.7|19.3|
|15-64<br>|65.8|67.7|69.7|69.9|<br>70.4|70.2|70.1|69.2|67.3|
|65+<br>Macao|4.3|4.9|<br>5.6|<br>6.6|<br>7.8|<br>8.8|<br>9.6|<br>11.0|13.5|
|0-14|42.7|43.4|44.1|43.4|42.3|40.1|38.0|35.7|33.1|
|15-64|54.5|53.7|53.0|53.8|54.9|56.9|59.0|61.1|63.3|
|65+|2.9|<br>2.9|<br>2.9|<br>2.8|<br>2.9|<br>2.9|<br>3.0|<br>3.3|<br>3.6|
|Halaysia||||||||||
|0-14|23.1|25.1|25.6|24.9|21.4|19.9|19.8|20.1|20.1|
|15-64|69.3|67.7|67.0|67.4|70.7|72.0|70.2|67.2|63.8|
|65+<br>Mongolia|7.7|<br>7.2|<br>7.5|<br>?.8|<br>8.0|<br>8.1|<br>10.0|12.7|16.1|
|0-14|37.8|36.9|36.6|34.5|31.0|27.4|25.1|24.1|23.6|
|15-64|58.5|59.3|59.4|61.3|64.1|67.2|68.7|<br>68.7|67.9|
|65+|3.8|3.8|<br>4.0|<br>4.3|<br>4.9|<br>5.4|<br>6.2|<br>7.2|<br>8.5|
|Myanmar||||||||||
|0-14|41.7|42.0|42.3|41.8|39.2|36.1|33.4|31.0|28.5|
|15-64|55.1|54.7|54.3|54.7|57.1|59.9|62.3|64.5|66.4|
|65+|33|33|<br>34|<br>36|<br>37|<br>40|<br>43|<br>46|<br>51|
|<br>Philippines|.|.|<br>.|<br>.|<br>.|<br>.|<br>.|<br>.|<br>.|
|0-14|41.1|39.4|36.9|33.5|30.9|28.4|26.4|25.0|24.1|
|15-64<br>|55.5<br>|57.2<br>|59.6<br> <br>|62.8<br> <br>|65.0<br>|67.0|68.4|68.9|68.7|
|65.|3.4|3.4|<br>3.5|<br>3.7|<br>4.1|<br>4.6|<br>5.2|<br>6.2|<br>7.3|
INTRODUCnTON bCv Table 19 (continued)

|Country or economy<br>and age group|1985|19.0|¶995|2000|2005|2010|2015|2020|2025|
|---|---|---|---|---|---|---|---|---|---|
|SSngapore||||||||||
|0-14<br>|24.5<br>|22.9<br>|22.1<br>|20.6<br>|18.9<br>|17.8<br>|17.4<br>|17.4<br>|17.5<br>|
|15-64|70.3|71.5|71.5|72.1|72.5|72.6|70.4|67.3|63.6|
|65+<br>|5.2|5.6|6.4|<br>7.3|8.6|9.6|12.2|15.3|18.9|
|Thailand||||||||||
|0-14|36.5|33.6|31.3|29.0|27.1|25.5|24.4|23.6|22.7|
|15-64|59.9|62.7|64.6|66.5|67.9|69 1|69.4|69.1|68.5|
|65+<br>|3.6|3.8|4.1|4.6|5.1|5.5|6.2|7.3|8.7|
|VietNam||||||||||
|0-14|40.6|40.0|39.0|37.2|34.3|30.9|28.1|26.0|24.7|
|15-64<br>|54.9<br>|55.6<br>|56.7<br>|58.3<br>|61.4<br>|64.9<br>|67.6<br>|68.9<br>|69.0<br>|
|65.|4.5|4.5|4.4|4.5|4.3|4.z|4.3|5.1|6.3|
|South Asia||||||||||
|0-14|40.5|39.5|37.9|36.1|34.2|32.4|30.6|28.7|27.2|
|15-64<br>|55.7<br>|56.8<br>|58.2<br>|59.9<br>|61.5<br>|63.1<br>|64.6<br>|66.0<br>|66.9<br>|
|65+|3.8|3.7|3.9|4.1|4.3|4.5|4.9|5.3|6.0|
|Afghanistan||||||||||
|0-14|45.4|45.2|45.7|45.4|46.3|46.0|44.8|43.0|41.4|
|15-64|52.3<br>|52.5<br>|52.1<br>|52.4<br>|51.5<br>|51.8<br>|52.9<br>|54.6<br>|56.1<br>|
|65+<br>|2.3|2.3|2.3|2.2|2.2|2.2|2.3|2.4|2.5|
|Bangladesh||||||||||
|0-14|45.7|44.2|42.2|40.4|33.7|36.5|33.9|31.1|28.6|
|15-64|51.2<br>|52.9<br>|54.9<br>|56.8<br>|58.4<br>|60.5<br>|62.9<br>|65.4<br>|67.2<br>|
|65+<br>|3.1|2.9|2.9|2.9|2.9|3.0|3.2|3.5|4.2|
|Bhutan||||||||||
|0-14|40.0|39.9|40.6|40.8|39.9|37.4|34.9|32.8|30.8|
|15-64|56.7|56.7|56.0|55.7|56.6|59.0|61.2|63.1|64.7|
|65+<br>|3.3|3.4|3.4|3.5|3.5|3.7|3.9|4.1|4.5|
|India||||||||||
|0-14|39.2|37.7|35.7|33.4|31.4|29.4|27.5|25.6|24.2|
|15-64|56.8<br>|58.2<br>|60.0<br>|62.0<br>|63.7<br>|65.4<br>|66.9<br>|68.2<br>|68.9<br>|
|65+<br>|4.1|4.1|4.2|4.6|4.9|5.2|5.7|6.2|6.9|
|Iran, IslamicRep.of||||||||||
|0-14|43.6|43.6|43.7|42.9|41.2|39.3|37.6|36.0|34.1|
|15-64|53.3|53.4|53.3<br>|54.1<br>|55.8<br>|57.6<br>|58.9<br>|60.1<br>|61.5<br>|
|65+<br>|3.2|3.1|3.0|3.0|3.0|3.1|3.5|4.0|4.5|
|Natdives||||||||||
|0-14|44.4|44.4|45.0|44.7|43.0|40.8|38.5|36.1|33.5|
|15-64|53.4<br>|53.2<br>|52.1<br>|51.8<br>|53.2<br>|55.2<br>|57.9<br>|60.6<br>|62.8<br>|
|65+|2.2|2.4|2.9|3.5|3.9|4.0|3.6|3.3|3.7|
|Nepal||||||||||
|0-14|42.9|42.2|41.5|40.4|38.8|36.8|34.3|31.9|29.7|
|15-64|54.2|54.7|55.1<br>|56.0<br>|57.4<br>|59.3<br>|61.6<br>|63.9<br>|65.8<br>|
|65+|2.9|3.2|3.4|3.6|3.8|3.9|4.0|4.1|4.5|
|Pakistan||||||||||
|0-14|44.4|45.2|45.5|45.0|42.8|40.7|38.9|36.9|34.5|
|15-64|52.9|52.1|51.8|52.2|54.5|<br>56.6|58.4|59.9|61.8|
|65+|2.8|2.7|<br>2.8|<br>2.8|<br>2.7|<br>2.7|<br>2.8|<br>3.2|<br>3.7|
|SriLanka||||||||||
|0-14<br>|34.1<br>|32.5<br>|29.6<br>|26.2<br>|24.3<br>|23.7<br>|23.3<br>|22.4<br>|21.4<br>|
|15-64|612|626|648|676|689|689|680|675|669|
|<br>65+|.<br>4.7|.<br>5.0|.<br> <br>5.6|.<br> <br>6.2|.<br> <br>6.7|.<br> <br>7.5|.<br> <br>8.8|.<br> <br>10.1|.<br>11.7|
# lxxvi INTRODUCTiON

Tabil 19 (zontinued)

|Country<br>or economy<br>and age group|1985|1990|1995|2000|2005|2010|2015|2020|2025|
|---|---|---|---|---|---|---|---|---|---|
|Southwest<br>Asia||||||||||
|0-14|40.9|40.5|40.3|39.6|38.1|36.3|34.6|33.2|31.7|
|15-64|55.4|5r.9|55.9|56.4|57.8|59.5|60.9|61.9|62.8|
|65|37|36|38|40|41|42|45|49|55|
|.<br>Bahrain|.|.|.|.|.|.|.|.|.|
|0-14|33.3|33.9|33.9|31.4|28.6|26.4|24.9|23.7|22.7|
|15-64|64.4|63.6|63.2|65.2|67.1|68.2|67.9|66.2|64.8|
|65+|2.3|2.4|2.9|3.4|4.3|5.5|7.3|10.2|12.5|
|Cyprus||||||||||
|0-14|25.0|25.4|25.0|22.9|21.2|20.6|20.5|20.4|20.0|
|15-64|64.2|64.1|64.5|66.5|67.5|67.4|66.1|65.1|63.9|
|65+<br>|10.8|10.5|10.5|10.7|11.3|12.1|13.4|14.5|16.1|
|Gaza Strip||||||||||
|<br>0-14|46.9|47.8|49.0|48.1|46.0|43.8|41.7|39.4|36.6|
|15-64|49.7|48.5|47.2|48.0|50.1|52.6|54.9|<br>57.6|60.7|
|65.|3.5|3.7|3.9|4.0|3.9|3.7|3.4|2.9|2.6|
|Iraq||||||||||
|0-14|46.9|46.6|45.5|44.3|42.8|40.8|38.5|35.9|33.2|
|15-64|50.4|50.7|51.8|53.0|54.4|56.2|58.2|60.6|62.9|
|65+<br>|2.7|2.7|2.7|2.8|2.9|3.0|3.2|3.6|3.9|
|israel||||||||||
|0-14|32.6|30.9|28.9|26.8|25.1|23.7|22.7|22.0|21.3|
|15-64|<br>58.7|<br>60.3|<br>6.7.5|<br>64.7|<br>66.5|<br>67.9|<br>67.6|<br>66.8|66.3|
|65+|8.8|8.8|8.a|8.5|8.4|8.4|9.7|11.2|12.4|
|Jordan||||||||||
|0-14|46.6|45.7|45.7|45.9|44.3|41.9|39.4|36.9|34.4|
|15-64<br>|50.7|51.8|51.7|51.4|52.8|55.1|57.6|59.9|62.0|
|65+|2.8|2.5|2.5|2.7|2.9|3.0|3.1|3.2|3.6|
|Kuwait||||||||||
|0-14|40.1|39.3|37.8|35.9|33.9|31.7|29.4|26.8|24.6|
|15-64|58.6|59.2|60.4|61.7|<br>62.8|63.6|<br>64.5|<br>65.5|66.2|
|65+|1.4|1.5|1.8|2.5|3.3|4.7|6.1|7.7|9.2|
|Lebanon||||||||||
|0-14|37.4|35.7|34.6|32.7|29.9|27.2|25.4|24.5|23.7|
|15-64|57.4|58.6|58.9|60.3|63.2|66.4|68.4|69.0|69.3|
|65+|5.2|5.7|6.5|7.0|6.9|6.4|6.2|6.5|7.0|
|**Oman**||||||||||
|0-14|44.4|45.3|45.3|44.5|43.4|42.4|41.2|39.6|37.4|
|15-64|53.2|52.3|52.2|52.8|53.7|54.6|55.4|56.6|58.5|
|65+<br>|2.4|2.4|2.5|2.7|2.8|3.1|3.4|3.8|4.1|
|Qatar||||||||||
|0-14|33.5|34.0|35.5|33.8|32.5|31.3|30.3|29.1|27.4|
|15-64|65.2|64.6|62.4|63.5|63.7|63.4|62.5|61.9|62.3|
|65+|1.3|1.4|2.2|2.7|3.9|5.3|7.2|9.0|10.2|
|Saudi Arabia||||||||||
|0-14|44.9|45.3|45.0|44.6|44.0|43.0|41.5|39.7|37.4|
|15-64|52.5|52.2|52.5|52.9|53.3|54.1|55.2|56.5|58.3|
|65+|2.6|2.6|2.5|2.6|2.7|2.9|3.3|3.8|4.3|
|Syrian Arab Rep.||||||||||
|<br>0-14|**4f**1|48.5|48.2|47.1|45.3|43.2|41.1|38.7|36.0|
|15-64|49.1|48.9|49.2|50.2|52.1|54.2|56.3|58.4|60.6|
|65+|28|26|26|27|26|25|26|29|34|
|<br>Turkey|.|.|.|.|.|.|.|.|.|
|0-14|36.4|34.9|34.4|33.0|30.5|27.4|25.2|24.0|23.5|
|15-64|594|609|609|616|639|667|685|689|682|
|<br>65+|.<br>4.3|.<br>4.2|.<br>4.7|.<br>5.3|.<br>5.7|.<br>5.9|.<br>6.3|.<br>7.1|.<br>8.2|
INTRODUCTION ltxvii Table 19 (continued)

|Country<br>or economy<br>and age group<br>1985|1990|1995|2000|2005|2010|2015|2020|2025|
|---|---|---|---|---|---|---|---|---|
|United<br>Arab Emirates<br>|||||||||
|0-14<br>31.1<br>|31.2<br>|29.7<br>|28.0<br>|27.6<br>|27.2<br>|26.2<br>|24.3<br>|22.6<br>|
|15-64<br>67.4|67.3|68.2|69.2|68.2|66.5|64.4<br>|62.4<br>|62.4<br>|
|65+<br>1.5|1.6|2.1|2.9|4.2|6.3|9.4|13.3|15.0|
|Uest Bank<br>|||||||||
|0-14<br>-<br>46.2<br> <br>|45.3<br>|45.5<br>|45.6<br>|44.1<br>|41.7<br>|39.2<br>|36.8<br>|34.3<br>|
|15-64<br>51.1<br> <br>|52.1<br>|52.0<br>|51.9<br>|53.1<br>|55.5<br>|57.8<br>|60.2<br>|62.0<br>|
|65.<br>2.7|2.5|2.5|2.6|2.8|2.9|3.0|3.0|3.7|
|Yemen Arab Rep.|||||||||
|0-14<br>48.1<br> <br>|49.3<br>|50.4<br>|51.2<br>|50.3<br>|48.5<br>|47.0<br>|45.6<br>|44.1<br>|
|15-64<br>48.7<br> <br>|47.7<br>|46.8<br>|46.1<br>|47.2<br>|49.2<br>|50.9<br>|52.5<br>|54.1<br>|
|S5+<br>3.2<br>|3.0|2.8|2.7|2.5|2.3|2.1|1.9|1.8|
|Yemen, People's Dem. Rep. of|||||||||
|<br>0-14<br>45.0<br> <br>|45.3<br>|46.4<br>|46.0<br>|44.3<br>|42.0<br>|39.8<br>|37.6<br>|35.1<br>|
|15-64<br>52.2<br> <br>|51.8<br>|50.8<br>|51.1<br>|52.9<br>|55.2<br>|57.3<br>|59.5<br>|61.8<br>|
|65.<br>2.8|2.9|2.9|2.9|2.9|2.9|2.9|2.9|3.1|
|Europe and U.S.S.R.<br> <br>|||||||||
|0-14<br>22.2<br>|21.7<br>|21.0<br>|20.1<br>|19.4<br>|19.1<br>|19.1<br>|19.0<br>|18.9<br>|
|15-64<br>66.3<br>|66.5<br>|66.2<br>|66.4<br>|66.2<br>|66.6<br>|66.0<br>|65.1<br>|63.8<br>|
|65+<br>11.4|11.8|12.8|13.5|14.4|14.4|14.9|15.9|17.3|
|Albania|||||||||
|0-14<br>34.5<br> <br>|33.4<br>|31.9<br>|29.9<br>|27.1<br>|24.7<br>|23.3<br>|22.8<br>|22.3<br>|
|15-64<br>60.2<br> <br>|61.4<br>|62.4<br>|63.9<br>|66.0<br>|67.9<br>|68.8<br>|68.3<br>|67.2<br>|
|65.<br>5.3<br>|5.2|5.7|6.1|6.9|7.4|7.9|8.9|10.5|
|Austria|||||||||
|0-14<br>18.6|17.6|17.4|16.4|15.9|15.6|15.6|15.8|16.1<br>|
|15-64<br>67.3<br>|67.6<br>|67.5<br>|68.3<br>|68.1<br>|67.2<br>|66.1<br>|65.1<br>|63.3<br>|
|65+<br>14.1<br>|14.8|15.2|15.3|16.0|17.2|18.3|19.1|20.6|
|Belgium|||||||||
|0-14<br>19.0|18.1<br>|17.6<br>|16.8<br>|16.4<br>|16.1<br>|16.2<br>|16.3<br>|16.5<br>|
|15-64<br>67.2<br> <br>|67.3<br>|67.0<br>|66.9<br>|67.1<br>|67.3<br>|66.1<br>|64.5<br>|62.7<br>|
|65.<br>13.8|14.6|15.5|16.3|16.6|16.5|17.8|19.2|20.9|
|Bulgaria|||||||||
|0-14<br>21.3|20.1|19.0|18.8|18.9|19.0<br>|18.9<br>|18.7<br>|18.6<br>|
|15-64<br>67.4<br> <br>|66.8<br>|66.4<br>|65.4<br>|65.2<br>|65.1<br>|64.2<br>|63.7<br>|63.4<br>|
|65+<br>11.3<br>|13.0|14.6|15.9|16.0|16.0|16.9|17.6|18.0|
|Chamnel Islands<br> <br>|||||||||
|0-14<br>17.4<br> <br>|17.4<br>|17.0<br>|17.1<br>|16.2<br>|15.6<br>|15.4<br>|15.7<br>|16.2<br>|
|15-64<br>68.2<br> <br>|68.5<br>|68.0<br>|67.1<br>|67.3<br>|67.5<br>|65.9<br>|62.8<br>|61.0<br>|
|65+<br>14.4|14.1|15.0|15.8|16.5|17.0|18.7|21.6|22.8|
|Czechoslovakia<br> <br>|||||||||
|0-14<br>24.4<br>|23.2<br>|21.1<br>|20.5<br>|20.7<br>|20.9<br>|20.6<br>|20.1<br>|19.6<br>|
|15-64<br>64.5<br>|65.0<br>|66.7<br>|67.0<br>|67.2<br>|66.7<br>|65.7<br>|64.7<br>|64.2<br>|
|65+<br>11.0<br>|11.8|12.2|12.5|12.1|12.4|13.7|15.3|16.2|
|Dernark|||||||||
|0-14<br>18.7|17.1|16.3|16.2|15.9|15.6|<br>15.5|15.5|<br>15.8|
|15-64<br>66.4<br>|67.8<br>|68.5<br>|68.6<br>|68.5<br>|67.0<br>|64.9<br>|63.5<br>|62.2<br>|
|65+<br>14.9|15.2|15.2|15.2|15.6|17.4|19.7|21.0|22.0|
|Finland|||||||||
|0-14<br>19.4<br> <br>|19.0<br>|17.8<br>|16.5<br>|15.9<br>|15.8<br>|16.0<br>|16.2<br>|16.3<br>|
|15-64<br>68.1<br> <br>|67.9<br>|68.1<br>|68.9<br>|68.8<br>|67.9<br>|64.7<br>|62.4<br>|61.0<br>|
|65+<br>12.5|13.2|14.1|14.6|15.3|16.3|19.3|21.4|22.8|
# lxxviii INTRoDucnON

# Table Io (continued)

|Country or economw<br>**and age**group<br>1985|1990|199|2000|2005|2010|2015|2020|<br>2025|
|---|---|---|---|---|---|---|---|---|
|France|||||||||
|0-14<br>21.2|20.1|19.8|19.3|18.7|18.2|17.9|17.9|17.9|
|15-64<br>65.9<br> <br>|66.4<br>|65.9<br>|65.8<br>|66.2<br>|66.8<br>|65.3|63.9|62.6|
|65+<br>13.0<br>|13.6|14.2|15.0|15.1|15.0|16.7|18.3|19.5|
|German Dem. Rep.|||||||||
|<br>0-14<br>19.3|20.0|19.8|18.8|18.0|17.6|17.8|18.0|18.2|
|15-64<br>67.2|66.9|66.8|67.0|65.9|65.4|65.9|64.5|63.2|
|65+<br>13.6|13.1|13.4|14.2|16.1|170|164|175|187|
|<br>Germany. Fed. Rep. of|||||.|.|.|.|
|<br>0-14<br>15.6|14.9|15.4|15.2|14.6|14.0|14.0|14.4|15.1|
|15-64<br>69.7<br>|69.9<br>|68.9<br>|68.2|66.8|65.6|65.2|64.0|62.0|
|65+<br>14.7|15.1|15.8|16.6|18.7|20.4|20.7|21.6|22.9|
|Greece|||||||||
|0-14<br>21.3|19.8|18.4|17.4|17.4|17.4|17.4|17.3|17.2|
|15-64<br>65.4|66.6|66.6|66.1|64.8|64.9|64.3|64.1|63.5|
|65+<br>13.3|13.6|14.9|16.6|17.8|17.7|18.3|18.7|19.3|
|Hunagry|||||||||
|0-14<br>21.0|19.4|17.4|17.6|18.1|18.3|18.2|17.9|17.9|
|15-64<br>66.5<br>|67.1<br>|68.3<br>|67.5|67.0|66.3|65.4|63.9|63.2|
|65+<br>12.6|13.5|14.3|14.9|15.0|15.4|16.3|18.2|18.9|
|Iceland|||||||||
|0-14<br>26.4|25.2|24.2|22.9|22.2|21.5|20.8|20.3|19.8|
|15-64<br>63.6|64.5|65.4|66.1|67.2|67.8|67.3|66.2|64.8|
|65.<br>9.9|10.4|10.5|11.0|106|108|119|136|154|
|<br>ireland||||.|.|.|.|.|
|0-14<br>29.7|27.2|24.9|23.1|23.0|22.8|22.0|21.0|20.1|
|15-64<br>59.8<br>|62.3|64.6|66.6|66.7|66.6|66.5|66.5|66.4|
|65+<br>10.5<br>|10.6|10.5|10.3|10.3|10.6|11.5|12.5|13.5|
|Italy|||||||||
|0-14<br>19.6|16.7|15.1|14.6|14.8|14.7|14.7|14.6|14.7|
|15-64<br>67.7|69.1|69.2|68.3|67.0|66.5|65.4|64.7|63.4|
|65+<br>127|143|157|171|182|188|200|207|219|
|<br>.<br>Luxembourg|.|.|.|.|.|.|.|.|
|0-14<br>17.4|17.0|16.5|15.7|15.0|14.6|14.9|15.2|15.7|
|15-64<br>69.6<br> <br>|69.4<br>|68.6<br>|68.0<br>|67.6|67.2|65.6|63.5|61.2|
|65+<br>13.0<br>Malta|13.6|14.9|16.3|17.4|18.2|19.5|21.3|23.1|
|0-14<br>24.4|23.1|21.0|19.3|18.9|19.1|19.2|19.0|18.7|
|15-64<br>*<br>66.1<br>|66.6<br>|67.9<br>|68.7<br>|68.4|67.2|64.6|63.4|62.6|
|65+<br>9.6<br>Netherlards|10.4|11.1|12.0|12.7|13.7|16.2|17.6|18.7|
|0-14<br>19.5|18.2|17.9|17.5|16.7|16.0|15.8|15.8|16.2|
|15-64<br>68.5<br> <br>|69.2<br>|68.9<br>|68.8<br>|69.0<br>|68.6|66.3|64.3|62.2|
|65+<br>12.1|12.7|13.2|13.7|'4.4|15.5|17.9|19.8|21.7|
|Norway|||||||||
|0-14<br>20.4|18.9|18.7|18.8|18.4|17.9|17.5|17.3|17.4|
|15-64<br>64.1|65.0|65.5|66.1|67.2|67.5|<br>66.0|<br>64.6|63.2|
|65.<br>15.5<br>|16.1|15.8|15.1|14.4|14.7|16.5|18.1|19.4|
|Poland|||||||||
|0-14<br>25.5|25.1|23.5|21.6|21.1|21.2|21.2|20.9|20.2|
|15-64<br>65.1|64.9|65.6|66.7|67.0|67.4|66.2|<br>64.5|63.4|
|65+<br>94|99|109|117|119|115|126|147|164|
|<br>.<br>Portugal|.|.|.|.|.|.|.|.|
|0-14<br>235|205|183|172||||||
|<br>.<br>|.|.|.|17.5|17.5|17.3|16.8|16.6|
|15-64<br>64.5<br> <br>|66.7<br>|68.1<br>|68.5<br>|67.8<br>|67.7<br>|67.4<br>|66.9<br>|65.7<br>|
|65+<br>12.0|12.8|13.6|14.3|14.7|14.8|15.4|16.3|17.7|
INTRODUCTnON lxxix Table 19 (continued)

|Country<br>or economy<br>nd age group|1985|1990|1995|2000|2005|2010|2015|2020|2025|
|---|---|---|---|---|---|---|---|---|---|
|Rommnia<br>||||||||||
|0-14<br>|24.'<br>|23.3<br>|22.0<br>|22.1<br>|22.2<br>|21.7<br>|21.0<br>|20.6<br>|20.4<br>|
|15-64<br>|6F ;<br>|66.4<br>|66.5<br>|65.4<br>|64.6<br>|65.6<br>|66.0<br>|65.5<br>|64.8<br>|
|65+<br>Spain<br>|9.5|10.4|11.5|12.5|13.3|12.8|13.0|13.9|14.8|
|0-14<br>|22.9<br>|20.1<br>|18.4<br>|17.9<br>|17.9<br>|17.7<br>|17.3<br>|16.9<br>|16.8|
|15-64<br>|65.0<br>|66.8<br>|67.5<br>|67.0<br>|66.9<br>|66.9<br>|66.7<br>|66.3|64.9|
|65+<br>Sweden|12.2|13.1|14.2|15.2|15.2|15.4|16.1|16.9|18.4|
|0-14<br>|17.5<br>|17.2<br>|17.6<br>|18.4<br>|17.9<br>|17.3<br>|17.1<br>|17.2|17.6|
|15-64<br>65|64.6<br>|65.1<br>|65.3<br>|65.2<br>|65.8<br>|64.8<br>|63.2<br>|62.3<br>|61.6<br>|
|+<br>|17.9|17.8|17.1|16.4|16.3|17.8|19.7|20.5|20.8|
|Switzerland<br>||||||||||
|0-14<br>|16.9<br>|16.5<br>|16.4<br>|16.4<br>|15.5<br>|15.0<br>|15.0|15.3|15.8|
|15-64<br>65|68.5<br>14|68.7<br>|68.3<br>|67.4<br>|67.2<br>|65.9<br>|64.0<br>|62.4<br>|60.7<br>|
|+<br>United Kindm|.6|14.8|15.4|16.2|17.3|19.1|21.0|22.3|23.5|
|go<br>014||||||||||
|-<br>|19.3<br>|18.9<br>|19.3<br>|19.1<br>|18.4<br>|17.7<br>|17.5<br>|17.5|17.8|
|15-64<br>|65.6<br>|65.6<br>|65.2<br>|65.5<br>|66.1<br>|66.4<br>|65.2<br>|64.4<br>|63.2<br>|
|65+<br>Yuoslavia|15.1|15.5|15.5|15.4|15.5|15.9|17.4|18.0|19.0|
|g<br>0-14<br>|24.1|23.1|21.9|20.9|20.4|20.1|19.8|19.5|19.2|
|15-64<br>65|67.4<br>|67.9<br>|67.7<br>|66.8<br>|65.8<br>|65.7<br>|66.0<br>|o5.1<br>|64.0<br>|
|+<br>Other Euroe(a)|8.5|9.1|10.4|12.4|13.8|14.3|14.2|15.5|16.8|
|p<br>0-14<br>|20.8<br>|20.5<br>|21.2<br>|21.4<br>|21.3<br>|20.8|20.3|20.0|19.8|
|15-64<br>65|62.7<br>|63.6<br>|63.6<br>|64.0<br>|65.0<br>|65.8<br>|65.9<br>|65.4<br>|64.9<br>|
|+<br>U.S.S.R.|16.6|15.9|15.2|14.6|13.8|13.4|13.8|14.6|15.3|
|0-14<br>14|24.8<br>|25.3<br>|24.6<br>|23.2<br>|21.7<br>|2i.&<br>|21.5<br>|21.4<br>|20.9<br>|
|5-6<br>65|65.9<br>|65.5<br>|64.7<br>|65.5<br>|65.6<br>|66.7<br>|66.7<br>|65.8<br>|64.6<br>|
|+|9.2|9.2|10.7|11.4|12.8|11.9|11.9|12.8|14.5|
|Oceania<br>||||||||||
|0-14<br>|27.8<br>|26.8<br>|26.6<br>|26.1<br>|25.3<br>|24.4<br>|23.5<br>|22.7<br>|21.9|
|15-64<br>65|63.8<br>|64.4<br>|64.4<br>|65.0<br>|65.7<br>|66.2<br>|65.9<br>|65.6<br>|65.1<br>|
|+|8.5|8.8|9.0|8.9|9.0|9.5|10.6|11.7|13.0|
|Australia<br>014||||||||||
|-<br>164|23.6<br>|22.3<br>|22.0<br>|21.4<br>|20.8<br>|20.1<br>|19.5<br>|19.1<br>|18.8<br>|
|5-<br>|66.3<br>|67.2<br>|67.2<br>|67.9<br>|68.3<br>|68.3<br>|67.4<br>|66.2<br>|64.7<br>|
|65+<br>Fii|10.1|10.5|10.8|10.7|10.8|11.6|13.1|14.7|16.4|
|j<br>014||||||||||
|-<br>|37.3<br>|36.5<br>|33.9<br>|30.0<br>|26.7<br>|24.6<br>|23.7<br>|23.3<br>|22.5|
|15-64<br>|59.3<br>|59.6<br>|61.6<br>|64.9<br>|67.3<br>|68.5<br>|68.3<br>|67.5<br>|66.6|
|65+<br>French Polynesia<br>|3.5<br>|3.9|4.5|5.1|6.0|6.9|8.0|9.2|10.8|
|0-14<br>|41.1<br>|36.8<br>|33.3<br>|33.1<br>|31.6<br>|28.5<br>|25.5<br>|23.5<br>|22.9<br>|
|15-64<br>|55.8<br>|59.4<br>|62.7<br>|62.6<br>|63.5<br>|65.8<br>|68.1<br>|69.3<br>|69.5<br>|
|65+<br>|3.1|3.8|4.0|4.3|5.0|5.7|6.4|7.2|7.7|
|Guam<br>||||||||||
|0-14<br>15-64|34.9<br>62.3|33.0<br>63.7|29.6<br>66.2|26.3<br>68.4|24.0<br>700|23.3<br>698|22.9<br>691|22.1<br>677|21.0<br>667|
|65+|<br>2.8|<br>3.3|<br>4.2|<br>5.3|.<br>6.1|.<br>6.9|.<br>8.0|.<br>10.2|.<br>12.3|
# lxxx INTRODUCTnON

Table 19 (continued)

|Country oreconomy<br>and age group|1985|1990|1995|2000|2005|2010|201S|2020|<br>2025|
|---|---|---|---|---|---|---|---|---|---|
|Kiribati<br>||||||||||
|0-14|39.3|40.0<br>|39.7<br>|38.6<br>|35A<br>|33.1<br>|30.7<br>|28.5<br>|26.7<br>|
|1564|58.0<br>|56.8<br>|56.5<br>|57.6<br>|60.4<br>|63.5<br>|65.0<br>|66.7<br>|68.2<br>|
|65+<br>|2.7|3.2|3.8|3.9|3.7|3.4|4.3|4.8|5.1|
|New CaLedonia||||||||||
|0-14|36.2|33.1|30.4|27.9|26.0|24.8|24.0|23.2|22.2|
|15-64|59.1|61.6|64.3|66.0|67.1|67.5|67.6|67.8|68.2|
|65+<br>|4.7|5.2|5.3|6.1|6.9|7.7|8.4|9.0|9.7|
|New Zealand<br>||||||||||
|0-14|24.4|22.5|22.0|21.5|20.8|20.0|19.3|18.9|18.8|
|15-64|65.2|66.6|66.9|67.4|67.8|67.9|66.9|65.9|64.6|
|65+<br>|10.5|10.8|11.1|11.1|11.4|12.1|13.8|15.2|16.6|
|Pacific Islands||||||||||
|0-14|46.7|43.9|40.9|37.6|36.7|34.7|31.6|28.0|25.2|
|15-64|49.6<br>|52.0<br>|54.8<br>|58.1<br>|59.0<br>|61.1<br>|64.1<br>|67.0<br>|68.9<br>|
|65+<br>|3.7|4.1|4.3|4.3|4.3|4.2|4.3|5.0|5.9|
|Papuo New Guinea||||||||||
|0-14|41.6|41.8|42.6|42.1|40.1|37.7|35.3|32.9|30.2|
|15-64<br>|56.0<br>|55.3<br>|54.2<br>|54.8<br>|56.8<br>|59.2<br>|61.2<br>|63.5<br>|65.8<br>|
|65.<br>|2.4|2.9|3.3|3.2|3.2|3.1|3.4|3.6|4.0|
|Solomon Islands||||||||||
|0-14|48.7|47.1|45.9|45.6|44.8|42.6|40.3|37.7|35.0|
|15-64|48.7<br>|50.3<br>|51.3<br>|51.5<br>|52.3<br>|54.3<br>|56.6<br>|58.9<br>|61.3<br>|
|65+<br>|2.7|2.6|2.8|2.9|2.9|3.0|3.2|3.4|3.7|
|Tonga||||||||||
|0-14<br>|39.6<br>|37.4<br>|37.9|37.5|34.3|30.3|27.1|25.3|24.4|
|15-64|56.6|58.8|58.5|58.2|60.9|64.8|67.7|69.2|69.4|
|65+<br>|3.8|3.8|3.6|4.3|4.8|4.9|5.2|5.5|6.3|
|Vanuatu||||||||||
|0-14|45.5|44.4|43.5|42.3|40.8|38.2|35.6|33.0|30.5|
|15-64|51.7|52.9|53.7|54.9|56.2|58.5|60.7|62.9|64.9|
|65+<br>|2.9|2.8|2.9|2.8|3.1|3.3|3.8|4.1|4.6|
|Western Samoa<br>||||||||||
|0-14|44.5|42.5|41.0|3d.7|36.5|33.5|30.6|28.1|26.0|
|15-64|52.5|54.1|55.1|57.0|59.1|62.1|65.2|67.9|69.9|
|65+|3.0|3.4|3.9|4.4|4.5|4.5|4.2|3.9|4.1|
|Other Micronesia<br>(a)||||||||||
|0-14|40.4|37.0|33.8|30.0|28.4|26.6|25.1|<br>23.S|22.9|
|15-64|56.3<br>|59.2<br>|61.8<br>|65.2<br>|66.1<br>|67.6<br>|68.5<br>|68.7<br>|68.7<br>|
|65+|3.3|3.8|4.4|4.9|5.5|5.8|6.4|7.4|8.4|
|Other Polynesia(a)||||||||||
|0-14<br>|45.7<br>|40.7<br>|36.7<br>|33.7<br>|33.1<br>|30.9<br>|27.9<br>|25.2<br>|23.5<br>|
|15-64|50.8|55.6|59.1|61.8|61.8|63.9|66.3|68.8|70.2|
|65+|3.5|3.7|4.2|4.5|5.2|5.2|5.8|6.0|6.3|

a. For a listing of countries in the "other" categories, see Table 18.
INTRODUCTION IXYXi Table 20 Stationary Population, Momentum, and Year When Net Reproduction Rate Reaches I for All Countries and Fconomies

|Stati<br>popul|onary<br>ation||||Stati<br>popul|onary<br>ation|||
|---|---|---|---|---|---|---|---|---|
|||Popula-|||||Popula-||
|||<br>tion|Year||||tlIo|Year|
|Country<br>or economy<br>Millions|Ratio<br>to 1985|<br> <br>mowen<br> <br>tun|<br>when<br>NRR 1|Country or economy|Mitlion|Ratio<br>s to 1985|<br> <br>momen<br> <br>tun|<br>when<br>NRR=1|
|World<br>11514|<br>2.4|1.4|2060|Gabon|6|6.2|1.4|2045|
|||||Gambia, The|5|6.9|1.4|2050|
|Africa<br>3049|<br>5.5|1.6|2060|Ghana|61|4.8|1.6|2035|
|||||Guinea|33|5.4|1.3|2045|
|East Africa<br>1424|<br>6.2|1.6|2055|Guinea-Bissau|4|4.8|1.3|2045|
|Botswana<br>3|2.7|1.8|2010|Liberia|11|4.9|1.5|2035|
|Burundi<br>29|<br>6.2|1.5|2045|Mali|57|7.7|1.5|2050|
|Comoros<br>3|6.5|1.6|2040|Mauritania|13|7.1|1.4|2050|
|Djibouti<br>2|5.8|1.5|2040|Niger|72|10.9|<br>1.5|2060|
|Ethiopia<br>246|<br>5.8|1.5|2045|Nigeria|509|5.1|1.6|2035|
|Kenya<br>200|<br>9.8|1.8|2050|Sao Tome and Principe|0|3.4|1.5|2025|
|Lesotho<br>6|3.7|1.5|2030|Senegal|41|6.3|1.5|2045|
|Madagascar<br>49|<br>4.8|1.6|2035|Sierra Leone|25|6.2|1.3|2050|
|Malawi<br>75|<br>10.2|<br>1.5|2055|Togo|16|5.1|1.6|2035|
|Mauritius<br>2|1.7|1.5|1985|Other West Africa (a)|0.01|1.9|1.6|2000|
|Mozambique<br>86|<br>6.3|1.5|2045||||||
|Namibia<br>5|4.4|1.6|2030|North Africa|435|3.5|1.6|2050|
|RIunion<br>1|1.7|1.5|1995|Algeria|84|3.9|1.7|2025|
|Rwanda<br>64|<br>10.6|<br>1.6|2055|Egypt, Arab Rep. of|132|2.8|1.5|2020|
|Seycheltes<br>0|1.8|1.6|2005|Libya|32|8.5|1.6|2050|
|Somalia<br>38|<br>7.0|1.5|2050|Morocco|66|3.0|1.6|2020|
|South Africa<br>91|<br>2.9|1.5|2020|Sudan|102|4.7|1.4|2035|
|Swaziland<br>4|5.3|1.7|2035|Tunisia|17|2.3|1.6|2010|
|Tanzania<br>160|<br>7.2|1.6|2045|Other North Africa (a)|1|6.3|1.4|2050|
|Uganda<br>87|<br>5.9|1.6|2040||||||
|Zaire<br>196|<br>6.<br>4|1.5|2045|America|1201|<br>1.8|1.4|2030|
|Zambia<br>51|<br>7.6|1.6|2045||||||
|Ziirbabwe<br>27|<br>3.3|1.7|2015|Latin America and Caribbe|an 872|2.2|1.6|2030|
|||||Antigua and Barbuda|0.1|1.8|1.8|2030|
|West Africa<br>1190|<br>5.8|1.5|2060|Argentina|49|1.6|1.3|2005|
|Angola<br>61|<br>7.0|1.4|2050|Bahamas|0.5|2.0|1.6|2000|
|Benin<br>20|<br>4.9|1.6|2035|Belize|1|3.3|1.8|2020|
|Burkina Faso<br>48|<br>6.1|1.4|2045|Bolivia|25|4.0|1.5|2030|
|Cameroon<br>68|<br>6.7|1.6|2045|Brazil|280|2.1|1.6|2005|
|Cape Verde<br>1|3.5|1.9|2025|Chile|21|1.7|1.5|2000|
|Central<br>African<br>Rep.<br>11|<br>4.4|1.5|2035|Colombia|57|2.0|1.6|2005|
|Chad<br>27|<br>5.3|1.4|2045|Costa Rica|5|2.1|1.7|2005|
|Congo,<br>People's<br>Rep. of the<br>17|<br>8.8|1.6|2050|Cuba|13|1.3|1.4|2030|
|Cote dlIvoire<br>85|<br>8.3|1.5|2050|DAnirica|0|1.8|1.8|2001|
|Equatorial<br>Guinea<br>1|3.8|1.3|2035|Dominican<br>Rep.|14|2.2|1.7|2010|
lxiXiI INTRODUCTION

# Table 20 (continued)

||Statio<br>popula|nary<br>tfon||||Stati<br>popul|oniry<br>ation|||
|---|---|---|---|---|---|---|---|---|---|
||||Popula-|||||Poula-||
||||<br>tion|<br>Year||||p<br>ti|<br>Y|
|Country<br>or ecnnomy|Millions|Ratio<br>to 1985|<br>mvmen<br> <br>**tun**|<br>when<br>NRR=1|Country<br>or economy|<br>Million|Ratio<br>s to 1985|on<br> <br>momen<br> <br>**tun**|<br>ear<br>when<br>NRR-1|
|Ecuador|24|2.6|1.7|2015|Indonesia|343|2.1|1.5|2005|
|El Salvador|15|3.1|1.7|2025|Japan|113|0.9|1.1|2030|
|Grenada|0.2|2.1|1.7|2005|Korea, Dem. People's<br>Rep|. of<br>46|2.3|1.4|2010|
|Guadeloupe<br>|0.5|1.3|1.5|1990|Korea, Rep.|57|1.4|1.6|2030|
|Guatemala<br>|32<br>|4.1|1.7|2030<br>|Lao People's Dem. Rep.<br>|14|3.9|1.4|2030|
|Guyana<br>|1<br>|1.1<br>|1.6<br>|2000|Macao|1|1.7|1.4|1995|
|Haiti<br>|16<br>|2.7<br>|1.5|2025<br>|Malaysia<br>|37|2.4|1.2|2010|
|Hionduras<br>|17|3.8|1.7|2025|Mongolia|7|3.7|1.6|2025|
|Jamaica<br>|4|1.5|1.7|2000|Hyarwnar|94|2.5|1.6|2015|
|Martinique<br>|0.4<br>|1.2<br>|_1.4_<br>|2030|Philippines|128|2.3|<br>1.6|2010|
|Mexico<br>|170<br>|2.2|1.7|2005|Singapore|3|1.1|<br>1.3|2030|
|Montserrat<br>|0.02<br>|1.3<br>|1.5|2000|Thailand|98|1.9|<br>1.5|2000|
|Netherlands Antilles<br>|0.3<br>|1.6<br>|1.5<br>|2030<br>|Viet Nam|168|2.7|1.7|2015|
|Nicaragua<br>|13|3.9|1.8|2025||||||
|Panam<br>|4<br>|1.9<br>|1.7<br>|2000<br>|South Asia|3034|2.9|1.5|2055|
|Paraguay|12|3:3|1.7|2025|Afghanistan|130|7.2|1.4|2055|
|Peru|46|2.4|1.6|2010|8angladesh|325|3.2|1.6|2025|
|St. Kitts and Nevis<br>|0.05<br>|1.1|1.7|2000|Bhutan|4|3.3|1.4|2030|
|St. Lucia|0.3|2.2|1.8|2005|India|1759|2.3|1.5|2015|
|St. Vincent<br>and the Grenad|ines<br>0.2|1.8|1.7|1995|Iran, Islamic Rep. of|226|5.1|1.6|2040|
|Suriname<br>|1|2.3|1.6|2010|Naldives|1|5.1|1.7|2035|
|Trinidad<br>and Tobago<br>|2|1.7|1.5|2000|Nepat|56|3.4|1.5|2030|
|Uruguay<br>|4<br>|1.4<br>|1.2<br>|2000|Pakistan|506|5.3|1.6|2040|
|Virgin Islands (U.S.)<br>|42<br>|2.4<br>|1.7<br>|2010<br>|Sri Lanka|26|1.7|1.5|1995|
|Venezuela<br> <br>|0.2<br>|1.7|1.6|1995||||||
|Other Latin America<br>(a)|0.4|2.0|1.6|2000|Southwest<br>Asia|498|4.3|1.6|2055|
|<br>|||||Bahrain|1|2.4|1.5|2015|
|Northern<br>America<br>|329|1.2|1.2|2030|Cyprus|1|1.4|1.3|1995|
|Canada<br>|29<br> <br>|1.1|1.2|2030|Gaza Strip|3|5.6|1.7|2040|
|United States (50 states)<br> <br>|<br>295<br>|1.2<br>|1.2|2030|Iraq|83|5.2|1.7|2035|
|Puerto<br>Rico|5|1.4|1.5|1995|IsraeL|7|1.8|1.5|2005|
|Other Northern<br>America<br>(a)|<br>0.1|1.3|1.2|2030|Jordan|15|5.8|1.7|2035|
||||||Kuwait|6|3.3|1.6|2020|
|Asia|6374|2.3|1.5|2055|Lebanon|5|1.8|1.6|2005|
||||||Oman|8|6.6|1.5|2045|
|East and Southeast<br>Asia<br>|2842|1.7|1.4|2030|natar|1|3.'|1.3|2030|
|Brunei|1|2.3|1.5|2010|Saudia Araoia|85|7.3|1.6|Z045|
|Cambodia<br> <br>|19<br>|2.7<br>|1.5<br>|2025<br>|Syrian Arab Rep.|69|6.6|1.8|2040|
|China (excl.<br>Taiwan)<br> <br>|1681<br>|1.6<br>|1.4<br>|2000<br>|Turk.,y<br>|112|2.2|i.6|<br>2010|
|Taiwan,<br>China|25|1.3|1.5|2030|United Arab Emirates|3|2.4|1.1|2020|
|Hong Kong|7|1.2|1.3|2030|West Bank|5|5.'<br>-|**..**|2035|
INTRODUCTION 1)xiii Table 20 (continued)

||Stati<br>popul|onary<br>ation||||Statio<br>popula|nary<br>tion|||
|---|---|---|---|---|---|---|---|---|---|
||||Popula-|||||Popula-||
|CC.mtry or economy|Hillions|Ratio<br>to 1985|tion<br>momen<br> <br>**tin**|Year<br> <br>when<br>NRR-1|Country or economy|Millions|Ratio<br>to 1985|tion<br> <br>momen<br> <br>tum|Year<br> <br>when<br>NRR=1|
|Yemen Arab Rep.|84|11.0|1.5|2055|Poland|47|1.3|1.2|1990|
|Yemen, People's Dem. Rep.|<br>10|4.9|1.6|2035|Portugal|9|0.9|1.2|2030|
||||||Romania|29|1.3|1.2|1985|
|Europe and U.S.S.R.|846|1.1|1.1|2030|Spain|-<br>37|1.0|1.2|2030|
||||||Sweden|8|0.9|1.0|2030|
|Albania|6|2.0|1.6|2005|Switzerland|5|0.8|1.0|2030|
|Austria|6|0.8|1.1|2030|United Kingdom|54|1.0|1.1|2030|
|8elgiun|8|0.8|1.1|2030|Yugoslavia|28|1.2|1.2|2030|
|Bulgaria|9|1.0|1.0|2030|Other Europe (a)|0.4|1.4|1.1|1990|
|Chaniel Islands|0.1|0.8|1.0|2030|U.S.S.R.|_372_|1.3|1.2|1995|
|Czechoslovakia|18|1.2|1.1|2030|Oceania|45|1.8|1.3|2040|
|Demnark|4|0.8|1.0|2030||||||
|Firland|4|0.9|1.1|2030|Australia|23|1.5|1.2|2030|
|France|58|1.0|1.2|2030|Fiji|1|1.7|1.6|2005|
|German Dem. Rep.|16|1.0|1.0|2030|French Polynesia|0.4|2.6|1.7|2010|
|Germany, Fed. Rep. of|43|0.7|1.0|2030|Guam|0.2|1.8|1.6|1995|
|Greece|9|0.9|1.1|2030|Kirabati|0.2|2.6|1.4|2020|
|Hungary|10|0.9|1.0|2030|New Caledonia|0.3|1.8|1.5|2000|
|Iceland|0.3|1.4|1.4|2030|New Zealand|4|1.2|1.3|2030|
|ireland|5|1.3|1.4|1990|Pacific Islands|0.5|3.1|1.8|2020|
|Italy|42|0.7|1.1|2030|Papua New Guinea|12|3.4|1.4|2025|
|Luxembourg|0.3|0.8|1.0|2030|Solomon Islands|2|6.3|1.7|2040|
|Malta|0.4|1.0|1.2|2030|Tonga|0.2|2.4|1.6|2015|
|Netherlands|13|0.9|1.1|2030|Vanuatu|1|4.0|1.6|2030|
|Norway|4|1.0|1.1|2030|Western Samoa|0.4|2.6|1.7|2020|
||||||Other h;eronesia (a)|0.03|2.1|1.7|2005|
||||||Other Polynesia (a)|0.2|2.4|1.7|2015|

Note: Poputations of more than 1 miltion have been rounded to the nearest million.

a. For listings of countries in the "other" categories, see Table 18.
# DETAILED POPULATION PROJFCTIONS

# WORLD, GEOGRAPHIC REGIONS,

# AND INCOME GROUPS
2

|**WORLD**|||Popula|tlon projecti|on (thousaw|ws)|||||
|---|---|---|---|---|---|---|---|---|---|---|
|AGE**GROaP**|<br>1985|1990|1995|2000|2005|2010|2015|2020|2025|<br>2030|
|IOTAL**M+F**<br>|4844423|<br>5285341|5743830|6204364|6662984|7112311|7555644|<br>7992929|<br>8414779|<br>8807147|
|MALES<br>|||||||||||
|0-4|294221|321566|335863<br>|343199<br>|350534|356050|363192|371249|375696|<br>375905|
|5-9<br>1014|272724<br>269179|287486<br>2|s1536<br>|4<br>330458<br>|338603<br>|316015<br>|351753<br>|359168<br>|<br>367547<br>|<br>372389<br> <br>|
|-||70770|285623|313596|328851|336994|344430|350238|357742|<br>366225|
|15-19<br>|255271|267161|268832|283703|311674|326918|335083|342568|348471|<br>356088|
|20-24<br>|224081<br>|252513|264426|266126|280933|308806|324060|332288|339870|<br>345940|
|25-29|195509|221192|249524|261402|263079|27782|305586|320880|<br>329209|<br>336937|
|30-34|176547|192845|218433|246614|258439|260103|274761|302479|317837|<br>326293|
|35-39<br>|145246<br>|173844|190072|215497|24348|255254|256926|271533|299198|<br>314646|
|40-44|120136|142384|170708|186786|211974|239703|251409|253118|267683|<br>295287|
|45-49<br>|112211<br>|116773<br> <br>|138736|166595|182423|207232|234587|246218|248003|<br>262511|
|50-54|99C.09|<br>107552|112234|133665|160771|176187|200417|227194|238708|<br>240618|
|55-59|855.'7|92883|101161|105848|126395|152313|167110|190432|<br>216279|<br>227573|
|60-64|66089|77668|84591|92369|96937|116128|140272|154148|176073|<br>200460|
|65-69<br>|48784|57010|67274|73546|80548|84840|102052|123642|<br>136175|<br>156025|
|70-74|35917|38673|45603|54036|59317|65198|68996|83429|101478|<br>112106|
|75+<br>|37652<br>|42214<br>|46606<br>|53951<br>|63733<br>|72504|81303|88781|103464|<br>124420|
|TOTAL|2438179|2662533|2895050|3127393|3357700|3582046|3801937|4017366|4223432|<br>4413422|
|FEMALES|||||||||||
|0-4<br>|281600|309337|323130|330250|337346|342845|349891|357784|362178|<br>362452|
|5-9|260613|275028|303396|318062|326061|333283|339044|346407|354659|359475|
|10-14<br>|255547<br>|258751<br>|273300|301808|316672|324684|331948|337798|345269|353646|
|15-19|241224|253813|257105|271716|300271|315145|323196|330528|336494|344103|
|20-24<br>|2171P2|239116|251739|255077|269688|298194|313107|321241|328696|334847|
|25-29<br>|189450<br>|214921|236800|249413|252758|267340|295808|310792|319055|326684|
|30-34|171548|187205|212591|234385|246972|250321|264893|293343|308427|316856|
|35-39|140488|169245|184852|210114|231798|244343|24m4|262308|290759|305980|
|40-44<br>|116422|138208|166720|182235|207332|22868|241386|244831|259452|287916|
|45-49<br>|109252|113964|135543|163700|179081|203941|225296|237m|241346|256017|
|50-54|973C4|106125|110865|132114|159771|174955|199488|220603|233085|236790|
|55-59<br>|87730|93322|101996|106728|127499|154436|169348|193420|214202|226657|
|60-64|73276|82443|87864|96272|100968|121015|146909|161425|184819|<br>205113|
|65-69|56704|66380|74943|80038|87996|92574|111469|<br>135751|149621|<br>171913|
|70-74<br>|46969<br>|479O.|56674|64230|68786|75965|80279|97292|119015|<br>131763|
|75+<br>|60934<br>|67045<br>|71263<br>|80827<br>|92282<br>|102355|113921|124244|144269|173512|
|TOTAL|2406243|2622808|2848781|3076971|3305284|3530264|3753707|3975563|4191347|4393725|
|BIRTHRATE<br>|<br>|27.1|25.8|24.1|22.6|21.4|20.4|19.6|18.7|17.8|
|DEATH RATE||9.7|9.1|8.6|8.3|8.3|8.3|8.4|8.4|8.7|
|RATEOF NA|T. INC.|1.74|1.66|1.54|1.43|1.31|1.21|1.13|1.03|.91|
|NET MIGRAT<br> <br>|ION<br>RATE<br>|.0<br>|.0<br>|.0<br>|.0|.0<br>|.0<br>|.0<br>|.0|.0|
|GROWTH<br>RAT|E|1.74|1.66|1.54|1.43|1.31|1.21|1.13|1.03|.91|
|TOTAL FERT|ILITY|3.427|3.232|3.045|2.911|2.783|2.663|2.567|2.477|2.389|
|NRR||1.460|1.388|1.327|1.296|1.254|1.206|1.167|1.135|1.105|
|**e(O)**<br>- BOTH<br>|SEXES<br>|64.90<br>|66.06<br>|67.14|68.15|68.66|69.22|69.86|70.56|71.32|
|e(IO)- BO<br>|THSEXES<br>|60.31<br>|60.84<br>|61.28|61.67|62.04|62.45|62.89|63.38|63.91|
|IMR - BOTH<br>|SEXES<br>|70.2<br>|62.3<br>|54.9<br>|47.7<br>|44.8|41.4|38.0|34.5|30.9|
|q(5) - BOT<br>|H SEXES<br> <br>|.0967<br>|.0850<br>|.0742<br>|.0634<br>|.0596|.0552|.0505|.0456|.0405|
|aEP.RATIO|<br>65.7|63.0|62.0|60.7|58.2|55.3|53.7|53.2|53.1|53.2|
3 UORLD

# Population projection (thousards)

Sumwmry for 25 Year Periods

|. ..<br>.......<br>.........<br>AGE**URalP**<br>~~~~~<br>.|..<br>...<br> <br>1985<br>**.**<br>...........................|....<br>......<br>..<br>2000<br>........................................|.........<br>.....<br>2025<br>........|.<br>..<br>.<br>2050|.<br>.......<br>2075|...<br> <br>2100<br>.....|.....<br>..<br>2125<br>........<br>-......|....<br>.<br>2150<br>.......|
|---|---|---|---|---|---|---|---|---|
|TOTALsfF|4844423|6204364|8414779|<br>10034944|10964953|<br>11329942|<br>1145135|3<br>11499182|
|MALES|||||||||
|0-4|294221|343199|375696|3688s4|36885o|369327|369593|369702|
|5-9|272724|330458|367547|367046|368211|<br>368915|36919l|369274|
|10-14|269179|313598|357742|367089|368195|368619|368862|368942|
|15-19|255277|283703|348471|368466|367749|367926|368268|368431|
|20-24|224081|266126|339870|369253|366000|366676|367342|367662|
|25-29|195509|<br>261402|329209|366125|364331|365322|366435|366839|
|30-34|176547|<br>246614|317837|358529|362015|364244|365569|365996|
|35-39|145246|<br>215497|299198|346918|360819|363237|364447|364876|
|40-44|120136|<br>186786|<br>267683|335279|<br>360392|361346|362506|363082|
|<br>45-49|<br>112211|<br> <br>166595|<br> <br>248003|<br>323489|<br>358105|<br>357022|<br>358883|359846|
|50-54|'9009|133665|238708|307420|349092|350052|352543|354048|
|55-59|it597|105848|216279|286293|330782|337491|341631|343486|
|60-64|66089|92369|<br>176073|<br>253010|<br>302031|<br>318624|<br>323535|325466|
|65-69|48784|73546|<br>136175|203772|264882|290227|294556|296622|
|70-74|35917|54036|101478|159537|<br>217632|247018|250447|253094|
|75+|37652|53951|103464|<br>213001|304193|368820|390827|39931|
|TOTAL|2438179|3127393|4223432|4994110|5413279|5564866|<br>5614635|<br>563|
|FEMALES|||||||||
|0-4|281600|330250|362178|355889|,.;554|355548|355610|355589|
|5-9|260613|318062|354659|354628|355544|355648|<br>355617|355554|
|10-14|255547|301808|345269|354952|355967|355751|355584|355511|
|15-19|241224|271716|336494|356712|356156|355638|355454|35549|
|20-24|217182|255077|328696|358246|355397|355274|355268|355395|
|25-29|189450|<br>249413|319055|356016|354643|354898|355241|355360|
|30-3..|171548|234385|308427|349261|353189|354779|355250|355290|
|35-39|140488|210114|290759|338582|352935|354858|355141|355077|
|40-44|116422|182235|259452|328077|353734|<br>354438|354610|354579|
|45-49|109252|163700|241346|318080|353536|352471|353303|353536|
|50-54|97304|<br>132114|233085|305355|348286|349414|351033|351755|
|55-59|8mo|106728|214202|289847|336534|343833|347390|348457|
|60-64|73276|<br>96272|184819|264809|317825|336314|341131|342351|
|65-69|56704|80038|149621|223107|293428|<br>323463|328469|330075|
|70-74|46969|64230|119015|186947|259468|297841|30301s|305829|
|75+|60934|80827|144269|300325|449479|564907|614605|632691|
|TOTAL|2406243|3076971|4191347|5040834|5551674|5765075|5836718|<br>5862499|
|BIRTH RATE||25.6|20.4|16.1|13.9|13.1|12.8|12.7|
|DEATH<br>RATE||9.1|8.4|9.1|10.4|11.8|12.4|12.6|
|NETMIGRA|TION<br>RATE|.0|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RAT|E|1.65|1.22|.70|.35|.13|.04|.02|
|TOTAL FERT|ILITY|3.224|2.669|2.229|2.071|2.061|2.056|2.055|
|**e(O)**- BOT|H SEXES|66.09|69.36|7317|76.56|77.78|78.69|78.93|
|<br>**INR**- BOTH|SEXES|62.4|41.2|23.5|11.3|8.6|6.9|6.6|
4

# LESS DEVELOPED COLMTRIES Population projection (thousands)

|AGE GROLP|1985|1990|1995|<br>2000|<br>2005|<br>2010|2015|2020|2025|<br>2030|
|---|---|---|---|---|---|---|---|---|---|---|
|TOTAL M+F|3665881|<br>4074392|4503981|<br>4939037|<br>5376111|<br>5807948|6236652|<br>6663234|<br>7078333|<br>7469234|
|KALES|||||||||||
|0-4|250149|<br>277272|292902|<br>301478|<br>308693|<br>313886|320753|<br>328823|<br>333405|<br>333581|
|5-9|228920|<br>243355|271004|287418|<br>296820|<br>304138|309578|<br>316744|<br>325159|<br>330159|
|10-14|223898|<br>226911|241435|269180|<br>285767|<br>295183|302544|<br>308072|<br>315344|<br>323880|
|15-19|208889|<br>221892|<br>224973|<br>239509|<br>267262|<br>283851|293303|<br>300727|<br>306368|<br>313768|
|20-24|174702|<br>206150|219155|222252|<br>236749|<br>264433|281051|<br>290588|<br>298140|<br>303974|
|25-29|146907|<br>171874|<br>203145|216094|<br>219198|<br>233651|261284|<br>277969|<br>287638|<br>295371|
|30-34|130764|<br>144378|<br>169193|<br>200251|<br>213164|<br>216287|230708|<br>258308|<br>275075|<br>28894|
|35-39|103736|<br>128309|<br>141824|<br>166429|<br>197263|<br>210132|213281|<br>227673|<br>255238|<br>272098|
|40-44|85609|101255|<br>125568|<br>138915|<br>163252|<br>193788|206600|<br>209789|<br>224147|<br>251653|
|45-49|76632|82819|98233|122117|<br>135218|<br>159159|189253|<br>201972|<br>205219|<br>219514|
|50-54|67324|73100|79189|94181|<br>117389|<br>130124|<br>153460|<br>182864|<br>195421|<br>198750|
|55-59|55133|62786|68359|74217|<br>88534|<br>110717|<br>122910|<br>145306|<br>173613|<br>185878|
|60-64|42441|49643|56751|61956|67437|<br>80779|101431|<br>112826|<br>133800|<br>160410|
|65-69|32261|36195|42550|48839|<br>53494|<br>58453|70384|88836|<br>99085|<br>117980|
|70-74|20437|25180|2846|33677|<br>38842|<br>42759|46962|56930|<br>72334|<br>80982|
|75+|19036|22224|27118|31888|37921|<br>44657|50925|57259|<br>67903|<br>84751|
|TOTAL|1866838|<br>2073342|2289894|<br>2508400|<br>2727001|<br>2941997|3154426|<br>3364686|<br>3567890|<br>3757645|
|FEHALES|||||||||||
|0-4|239299|267094|282186|290506|<br>297506|<br>302681|309453|<br>317348|<br>321864|<br>322097|
|5-9|218774|232622|261043|277003|<br>286224|<br>293373|298836|<br>305948|<br>314224|<br>319184|
|10-14<br>|212552<br>|216816<br> <br>|230798<br>|259363<br>|<br>275539<br> <br>|<br>284791<br> <br>|291999<br>|<br>297568<br> <br>|<br>304805<br>|<br>313223|
|15-19|196821|<br>210711|215063|229112|<br>257746|<br>273952|283262|<br>290556|<br>296261|<br>303655|
|20-24|169459|<br>194500|<br>208421|212832|<br>226927|<br>255551|271830|<br>281259|<br>288712|<br>294636|
|25-29|142109|<br>166965|<br>191938|<br>205861|<br>210332|<br>224445|253074|<br>269464|<br>279061|<br>286729|
|30-34|126499|<br>139730|<br>164487|<br>189372|<br>203305|<br>207816|221952|<br>250592|<br>267111|<br>276901|
|35-39|99166|124174|<br>137345|<br>161971|<br>186754|<br>200665|205228|<br>219395|<br>248054|<br>264722|
|40-44|81465|96981|121744|<br>134820|<br>159276|<br>183905|<br>197793|<br>202428|<br>216639|<br>245315|
|45-49|72536|79232|94552|118972|<br>131914|<br>156124|180545|<br>194405|<br>199141|<br>213400|
|50-54|63781|69903|76516|91540|115485|<br>128241|152106|<br>176238|<br>190057|<br>194930|
|55-59|52896|60527|66510|72980|<br>87589|<br>110874|123375|<br>146751|<br>170470|<br>184222|
|60-64|42445|48885|56154|61905|<br>68157|<br>82180|104515|<br>116651|<br>139309|<br>162417|
|65-69|33804|37468|43383|50076|<br>55456|<br>61377|74498|95378|<br>106929|<br>'28438|
|70-74|22934|27528|-<br>30816|35908|41729|<br>46549|51910|63603|82203|<br>92761|
|75+<br>|24503<br>|27915<br> <br>|33129<br> <br>|38416<br> <br>|<br>45169<br> <br>|<br>53426<br> <br>|61850<br>|70962<br> <br>|<br>85603<br> <br>|<br>108958<br> <br>|
|TOTAL|1799043|<br>2001049|<br>2214087|<br>2430637|<br>2649109|<br>2865951|3082226|<br>3298547|<br>3510443|<br>3711589|
|BIRTH RATE||31.0|29.1|27.0|25.0|23.4|22.1|21.0|19.9|18.8|
|DEATH RATE<br>|<br>|9.6|8.9|8.4|7.9|7.8|7.8|7.8|7.8|8.0|
|RATE OF NA|T.INC.|2.13|2.02|1.86|1.71|1.55|1.'3|1.33|1.21|1.08|
|NET MIGRA|TION<br>RATE|-.2|-. 2|-.1|-. 1|-.1|-.1|-.0|-.0|.0|
|GROWTH<br>RAT|E|2.11|2.00|1.84|1.70|1.55|1.42|1.32|1.21|1.08|
|TOTAL FERT|ILITY|3.918|3.608|3.336|3.133|2.951|2.789|2.661|2.545|2.436|
|NRR||1.627|1.517|1.426|1.377|1.318|1.252|1.200|1.158|1.120|
|e(O)**-** BOT|H SEXES|62.06|63.55|64.93|66.20|66.90|67.65|68.45|69.31|70.23|
|e(10)- BO|TH SEXES|58.77|59.38|59.90|60.38|60.87|61.39|61.94|62.54|63.17|
|IMR- BOT<br>|H SEXES<br>|78.3<br>|69.0<br>|60.5<br>|52.4<br>|49.2<br>|45.4<br>|41.5<br>|37.6<br>|33.6<br>|
|q(5)- BOT|H SEXES|.1083|.0945|.0820|.0700|.0657|.0607|.0554|.0499|.0443|
|<br>DEP. RATIO|<br>71.4|<br>67.4|<br>65.6|<br>63.8|<br>60.3|<br>56.7|54.1|<br>53.0|<br>52.2|<br>52.0|
5

# LESS DEVELOPED CWlNTRIES

Poputation projection (thousands) Sumry for 25 Year Periods

|AGE GRCUJP|<br>1985|2000|2025|2050|<br>2075|2100|2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTALM4F|3665881|<br>4939037|<br>7078333|<br>8715841|<br>9657538|<br>10019927|<br>10138866|10185564|
|MALES|||||||||
|0-4|250149|<br>301478|<br>333405|<br>326613|<br>326585|<br>327047|<br>327307|<br>327413|
|5-9|228920|<br>287418|<br>325159|<br>324815|<br>326003|<br>326686|<br>326950|<br>327028|
|10-14|223898|<br>269180|<br>315344|<br>324909|<br>326031|<br>326427|<br>326652|<br>326727|
|15-19|208889|<br>239509|<br>306368|<br>326312|<br>325647|<br>325789|<br>326108|<br>326267|
|20-24|174702|<br>222252|<br>298140|<br>327195|<br>323988|<br>324626|<br>325265|<br>325580|
|25-29|146907|<br>216094|<br>287638|<br>324236|<br>322396|<br>323372|<br>324457|<br>324851|
|30-34|130764|<br>200251|<br>275075|<br>316634|<br>320177|<br>322404|<br>323694|<br>324105|
|35-39|103736|<br>166429|<br>255238|<br>305162|<br>319130|<br>321535|<br>322698|<br>323104|
|40-44|85609|<br>138915|<br>224147|<br>294013|<br>318877|<br>319845|<br>320948|<br>321495|
|45-49|76632|<br>122117|<br>205219|<br>282909|<br>316964|<br>315878|<br>317674|<br>318603|
|50-54|67324|<br>94181|<br>195421|<br>267630|<br>308699|<br>309550|<br>311989|<br>313455|
|55-59|55133|<br>74217|<br>173613|<br>246624|<br>291534|<br>298201|<br>302286|<br>304092|
|60-64|42441|<br>61956|<br>133800|<br>214472|<br>264905|<br>281423|<br>286249|<br>288115|
|65-69|32261|<br>48839|<br>99085|<br>169040|<br>231330|<br>256295|<br>260539|<br>262526|
|70-74|20437|<br>33477|<br>72334|<br>130369|<br>189264|<br>218050|<br>221359|<br>223924|
|75+|19036|<br>31888|<br>67903|<br>166436|<br>258907|<br>3231B3|<br>344667|<br>352955|
|TOTAL|1866838|<br>2508400|<br>3567890|<br>4347369|<br>4770438|<br>4920313|<br>4968842|<br>4990239|
|FEMALES|||||||||
|0-4|239299|<br>290506|<br>321864|<br>315537|<br>315215|<br>315215|<br>315279|<br>315258|
|5-9|218774|<br>277003|<br>314224|<br>314285|<br>315214|<br>315323|<br>315291|<br>315228|
|10-14|ciZ552|259363|<br>304805|<br>314641|<br>315647|<br>315429|<br>315261|<br>315187|
|15-19|1966?i|279112|<br>296261|<br>316390|<br>315843|<br>315319|<br>315134|<br>315129|
|20-24|169451|<br>212832|<br>288712|<br>317940|<br>315087|<br>314958|<br>314953|<br>315080|
|25-29|142109|<br>205861|<br>279061|<br>315776|<br>314327|<br>314588|<br>314934|<br>315053|
|30-34|126499|<br>189572|<br>267111|<br>308910|<br>312892|<br>314486|<br>314956|<br>314996|
|35-39|99.66|161971|<br>248054|<br>298238|<br>312691|<br>314595|<br>314869|<br>3148&2|
|40-44|81465|<br>1f4820|216639|<br>288027|<br>313526|<br>314222|<br>314378|<br>314343|
|45-49|7.'536|118972|<br>199141|<br>278408|<br>313448|<br>312353|<br>313165|<br>313395|
|50-54|61781|<br>91540|<br>190057|<br>265924|<br>308475|<br>309486|<br>311090|<br>311807|
|55-59|52396|<br>72980|<br>170470|<br>249581|<br>297011|<br>304295|<br>307820|<br>308876|
|60-64|421s45|<br>61905|<br>139309|<br>224059|<br>279023|<br>297503|<br>302244|<br>303438|
|65-69|33804|<br>50076|<br>106929|<br>183868|<br>256283|<br>286008|<br>290923|<br>292486|
|70-74|22934|<br>35908|<br>82203|<br>151243|<br>225315|<br>263099|<br>268120|<br>270877|
|75.|24503|<br>38416|<br>85603|<br>225645|<br>377103|<br>492736|<br>541608|<br>559370|
|TOfAL|.799043|<br>2430637|<br>3510443|<br>4368472|<br>4887100|<br>4099613|<br>5170024|<br>5195325|
|BIRTH RATE||28.9|2;!.1|16.7|14.1|13.1|12.8|12.7|
|DEATH<br>RATE||8.9|7.8|8.5|10.0|11.7|12.4|12.5|
|NET MIGRATI|ON RATE|-.2|-.1|.0|.0|.0|.0|.0|
|GROWTH<br>RAT|E|_1S9_|1.44|.83|.41|.15|.05|.02|
|TOTAL FERT|ILITY|3.596|2.796|2.252|2.072|2.061|2.055|2.054|
|e(O)<br>0<br>BOTH|SEXES|6x.61|67.81|72.40|76.26|77.63|78.64|78.90|
|<br>**IHR**- BOTH|SEXES|69.1|45.1|25.5|11.9|8.9|7.0|6.6|
6 MORE DEVELOPED **COUHTRIES** Poputation projection **(thousands)**

|AGE CROUIP|1985|1990|1995|2000|2005|2010|2015|2020|2025|<br>2030|
|---|---|---|---|---|---|---|---|---|---|---|
|.....<br>......<br>...<br>TOTAL**M+F**|......<br>.........<br>1178542|.....<br>.<br>1210949|...<br>...<br>..<br>. ...........<br>1239849|<br>..............<br>1265327|....<br>1286874|..............<br>1304363|...<br>1318993|.....<br>...<br>1329695|..<br>........<br> <br>1336447|<br>1337914|
|MALES|||||||||||
|0-4|44072|44294|42961|41721|41841|42164|42438|42426|42290|42324|
|5-9|43805|44131|44361|43040|417=|41877|42175|42424|42388|42230|
|10-14|45282|43859|44188|44419|43084|41811|41887|42166|42398|<br>42345|
|15-19|46389|45269|43859|44194|44412|43067|41781|41840|42103|<br>42320|
|20-24|49378|46363|45272|43874|44185|44374|43009|41700|41730|<br>41965|
|25-29|48602|49318|46379|45308|43881|44152|44302|42911|41571|<br>41565|
|30-34|45783|48468|49240|46363|45275|43816|44053|44172|42762|41399|
|35-39|41510|45535|48248|49069|46226|45121|43644|43859|43960|<br>42547|
|40-44|34528|41128|45140|47871|48722|45915|44810|43329|43537|<br>43634|
|45-49|35579|33954|40503|44478|47205|48073|45333|44246|42783|<br>42998|
|50-54|31685|34452|33046|39484<br>|43383|46062|46958|44330|43286|<br>41868|
|55-59|30463|30098|32803|.16<sup>3</sup>1|37861|41596|44200|45126|42666|<br>41695|
|60-64|23647|28024|27840|30413|29500|35350|38841|41322|42273|40050|
|65-69|16523|20815|24723|24706|27054|26387|31668|34807|37090|<br>38045|
|70-74|15480|13493|17107|20360|20475|22439|22034|26498|29143|<br>31124|
|75+|18615|19990|19488|22062|25811|27846|30378|31522|35561|<br>39669|
|TOTAL|571342|589190|605156|618993|630698|640050|647511|652679|655543|<br>655777|
|FEMALES|||||||||||
|0-4|42301|42243|40944|39744|39842|40164|40438|40436|40315|40355|
|5-9|41839|42406|42352|41059|39836|39911|40209|40459|40435|40292|
|10-14|42996|41935|42502|42445|41133|39893|39950|40230|40464|40423|
|15-19|44403|43102|42043|42604|42525|41193|39934|39972|40233|40449|
|20-24|47722|44616|43318|42246|42761|42643|41276|39983|39984|40211|
|25-29|47341|47956|44862|43553|42426|42895|42734|41328|39994|39955|
|30-34|45049|47475|48104|45013|43667|42505|42941|42750|41317|39955|
|35-39|41322|45071|47506|48143|45044|43678|42496|42912|42705|41258|
|40-44|34957|41227|44975|47415|48056|44963|43593|42403|42813|42601|
|45-49|36716|34733|40991|44727|47167|47817|44750|43390|42205|42617|
|50-54|33523|36223|34349|40574|44286|46714|47382|44366|43029|41859|
|55-59|34834|32795|35486|33748|39910|43562|45973|46669|43732|42435|
|60-64|30831|33558|31710|34367|32811|38835|42393|44774|45510|42696|
|65-69|22899|28912|31560|29962|32539|31197|36971|40372|42692|43475|
|70-74|24036|20378|25858|28322|27057|29416|28369|33688|36812|39002|
|75+<br>|36431<br>|39130<br>|38134<br>|42411<br>|47113<br>|48929<br>|52071|53283|58666|64554|
|TOTAL|607200|621758|634693|646334|656175|664313|671481|677016|680904|6m2136|
|BIRTH RATE||14.7|13.9|13.2|17.9|12.8|12.8|12.6|12.5|12.5|
|DEATH RATE<br>|<br>|9.9|9.7|9.6|10.0|10.5|10.8|11.2|11.6|12.3|
|RATE OF NA|T. INC.|.48|.41|.35|.30|.24|.20|.15|_.09_|.02|
|NET MIGRA|TION<br>RATE|.6|.6|.5|.4|.3|.2|.2|.1|.0|
|GROWTH<br>PAT|E|.54|.47|.41|.34|.27|.22|.16|.1O|.02|
|TOTAL FERT|ILITY|1.902|1.864|1.846|1.890|1.932|1.970|2.003|2.033|2.061|
|NRR||.919|888|.881|.907|.931|.949|.965|.979|.994|
|e(O)- BOT|H SEXES|74.08|74.82|75.47|76.01|76.24|76.47|76.71|76.95|77.21|
|e(dO)- BOT|H SEXES|65.32|65.94|66.46|66.90|67.10|67.31|67.52|67.74|67.97|
|IMR- BOTH|SEXES|15.2<br>|13.3<br>|11.7|10.4|10.2|9.7|9.5|9.1|8.8|
|**q(S)**- BOTH|SEXES|.0176|.0152|.0133|.0117|.0114|.0110|.0106|.0101|.0097|
|DEP. RATIO|<br>50.3|49.6|50.2|49.7|49.8|49.5|51.|5<br>54.4|<br>57.6|<br>60.4|
7

# MORE DEVELOPED CoJNTRIES

# Populstion proJection (thisuands)

Sum ry for 25 Year Periods

|**.**...............<br>AGE GRWlP|....<br>_.<br>1985|.....__,_____...<br>.<br>.<br>2000|.<br>.<br>.<br>.<br>...<br>2025|_<br>.<br>..<br>.<br>.<br>2050|.<br>.<br>.<br>._<br>2075|.<br>..<br>.<br>.<br>.<br>.<br>2100|.<br>.<br>...<br>.<br>2125|.<br>.<br>.<br>.<br>.<br>2150|
|---|---|---|---|---|---|---|---|---|
|..<br>..<br>..<br>...<br>.<br>.|.<br>.<br>.<br>..<br>.|..<br>.<br>.<br>..<br>.|..<br>.<br>.<br>..<br>.|..<br>.<br>.<br>..<br>|.<br>.<br>..<br>.<br>.<br>.|.<br>..<br>.<br>..<br>.|.<br>..<br>.<br>..|.<br>.<br>..<br>.<br>.|
|TOTALM.F|1178542|1265327|1336447|1319103|<br>1307415|1310015|1312487|1313618|
|MALES|||||||||
|0-4|44072|41721|42290|42271|42264|42280|42286|42289|
|5-9|43805|43040|42388|42230|42208|42229|42241|42246|
|10-14|45282|44419|42398|42180|42164|42192|42210|42215|
|15-19|46389|44194|42103|42154|42102|42137|42160|42165|
|20-24|49378|43874|41730|42058|42012|42050|42076|42082|
|25-29|48602|45308|41571|41889|41935|41949|41978|41988|
|30-34|45783|46363|42762|41895|41838|41840|41875|41891|
|35-39|41510|49069|43960|41756|41689|41702|41748|41M|
|40-44|34528|47871|43537|41266|41515|41501|41558|41587|
|45-49|35579|44478|4273|40579|41141|41144|41209|41244|
|50-54|31685|39484|43286|39791|40392|40503|40554|40593|
|55-59|30463|31631|42666|39669|39248|39290|39345|39394|
|60-64|23647|30413|42273|38538|37126|37201|37286|37351|
|65-69|16523|24706|37090|34732|33553|33932|34017|34095|
|70-74|15480|20360|29143|2918368||28968|2989|29173|
|75+|18615|22062|35561|46564|45286|45634|46160|46360|
|TOTAL|571342|618993|655543|646741|642841|644553|645793|646444|
|FEMALES|||||||||
|0-4|42301|39744|40315|40352|40339|40333|40331|40331|
|5-9|41839|41059|40435|40343|40330|40326|40326|40326|
|10-14|42996|42445|40464|40311|40320|40322|40323|40323|
|15-19|44403|42604|40233|40322|40313|40319|40320|40320|
|20-24|4M2|42246|39984|40306|40310|40316|40315|40315|
|25-29|47341|43553|39994|40240|40316|40310|40307|40307|
|30-34|45049|45013|41317|40351|40298|40293|40293|40295|
|35-39|41322|48143|42705|<br>40344|40243|40264|40272|40275|
|40-44|34957|<br>47415|42813|40050|40209|40216|40232|40236|
|45-49|36716|44727|42205|39672|40088|40118|40138|40142|
|50-54|S523|40574|43029|39432|39810|39928|39943|39948|
|55-59|34834|33748|43732|40266|39523|<br>39538|39569|39581|
|60-64|30831|34367|45510|40751|38802|38811|38887|38913|
|65-69|22899|29962|42692|39238|37145|37454|37547|37589|
|70-74|24036|28322|36812|35705|34153|34742|34893|34952|
|75+|36431|42411|58666|74680|72376|72172|72997|73321|
|TOTAL|607200|646334|680904|672362|664574|665462|666694|667174|
|BIRTH RATE||1L3.9|12.7|12.5|12.7|12.7|12.7|12.7|
|DEATH RATE||9.7|10.8|1.O|13.0|12.6|12.6|12.6|
|NETMIGRA|TION<br>RATE|.6|.2|.0|.0|.0|.0|.0|
|GROWTH<br>RAT|E|.47|.22|-. 05|-. 04|.01|.01|.00|
|TOTAL FERTI|LITY|1.876|1.965|2.067|2.064|2.064|2.063|2.063|
|**e(O)**<br>**-** BOT|H SEXES|74.80|76.48|77.73|78.66|78.92|79.10|79.14|
|**IMR-** BOTH|SEXES|13.5|9.8|8.1|6.9|6.6|6.3|6.3|
8 AFRICA Population projection (thousands)

|**AGE GROLP**<br>. ........<br>...........|1985<br>...............|1990|1995<br>...........................................|<br>2000<br>..........|2005|<br>2010|<br>2015<br>_..........|2020<br>......<br>...|<br>2025<br>...<br>...............................|<br>2030<br>..............|
|---|---|---|---|---|---|---|---|---|---|---|
|TOTAL**H+F**|559416|<br>650556|75314-.|<br>869768|<br>999722|<br>1138621|<br>1284716|<br>1435139|<br>1587365|<br>1737425|
|HALES|||||||||||
|0-4|51646|<br>58799|<br>65629|73869|<br>81917|<br>87902|<br>93051|96835|99448|<br>100228|
|5-9|41546|<br>48855|<br>56026|63034|<br>71474|<br>79479|<br>85525|90784|94739|<br>97579|
|10-14|34445|<br>40815|48101|55272|<br>62311|<br>70710|<br>78697|<br>84761|90055|<br>94066|
|15-19|29338|<br>33886|<br>40209|47446|<br>54575|<br>61581|<br>69942|77912|<br>83995|<br>89327|
|20-24|24359|<br>28676|<br>33169|39400|<br>4538|53599|<br>60565|68881|76838|<br>82959|
|25-29|20298|<br>23689|<br>27939|32347|<br>38458|<br>45516|<br>52508|59440|67721|<br>75680|
|30-34|16641|<br>19704|<br>23040|27204|<br>31523|<br>37559|<br>44543|51476|58387|<br>66644|
|35-39|13426|<br>16097|<br>19103|<br>22362|<br>26434|<br>30696|<br>36654|43569|50448|<br>57341|
|40-44|10885|<br>12894|<br>15508|<br>18434|<br>21603|<br>25603|<br>29801|35674|42511|<br>49331|
|45-49|9284|10343|<br>12293|<br>14822|<br>17648|<br>20738|<br>24646|28763|34529|<br>41263|
|50-54|7714|8687|9703|11561|<br>13977|<br>16700|<br>19683|<br>23468|27472|<br>33084|
|55-59|6213|7047|7961|8909|10645|<br>12930|<br>15509|<br>18343|<br>21951|<br>25785|
|60-64|4742|5468|6226|7053|7910|<br>9501|<br>11603|<br>13980|<br>16603|<br>19952|
|65-69|3460|3929|4556|5207|5918|6672|<br>8067|9917|12015|<br>14342|
|70-74|2285|2608|2982|3476|3992|4569|<br>5186|6323|7838|<br>9564|
|75+|2055|2330|2679|3092|3619|4234|<br>4940|5726|<br>6925|<br>8606|
|TOTAL|278335|<br>323829|<br>375124|<br>433488|<br>498541|<br>567990|<br>640919|715852|<br>791474|<br>865753|
|FEKALES|||||||||||
|0-4|50767|57965|64588|72590|<br>80377|<br>86248|<br>91298|95013|97568|<br>98314|
|5-9|41011|48162|55402|62226|<br>70450|<br>78224|<br>84174|89350|9S241|<br>96023|
|10-14|34037|40305|47448|54701|<br>61572|<br>69769|<br>77537|83514|&1733|<br>92687|
|15-19|28946|33510|39743|46855|<br>54084|<br>60937|<br>69112|76882|&893|88163|
|20-24|24158|28395|32916|39085|<br>46133|<br>53317|<br>60152|68312|74 396|<br>82160|
|25-29|20532|23612|27791|32249|<br>38332|<br>45330|<br>52469|59295|61449|<br>75261|
|30-34|17063|<br>20006|23042|27153|<br>31543|<br>37568|<br>44516|51617|58443|<br>66602|
|35-39|13983|<br>16567|<br>19460|22442|<br>26478|<br>30825|<br>36794|43695|50764|<br>57596|
|40-44|11473|<br>13514|<br>16046|18876|<br>21797|<br>25780|<br>30082|35993|42847|<br>49886|
|45-49|9856|11025|<br>13014|15481|<br>18239|<br>21116|<br>25038|29289|35132|<br>41930|
|50-54|8208|9381|10510|12429|<br>14817|<br>17511|<br>20331|24178|28362|<br>34118|
|55-59|6752|7676|8793|9867|11696|<br>14003|<br>16613|<br>19359|23104|<br>27197|
|60-64|5203|6124|-6984|8021|9022|10753|<br>12949|<br>15442|18083|<br>21685|
|65-69|3890|4475|5294|6059|6985|7908|<br>9498|11529|13847|<br>16326|
|70-74|2641|3068|3551|4224|4860|5659|<br>6466|7847|9627|<br>11677|
|75+<br>|2561<br>|2943<br> <br>|3437<br>|4022<br> <br>|4795<br> <br>|5682<br> <br>|<br>6765<br> <br>|7974<br>|9703<br>|<br>12046|
|TOTAL|281081|<br>326727|378020|<br>436280|<br>501180|<br>570631|<br>643796|719287|<br>795891|<br>871672|
|BIRTH RATE||44.4|42.1|40.3|38.1|35.5|32.9|30.3|27.8|25.3|
|DEATH RATE||14.2|12.7|11.4|10.2|9.4|8.8|8.2|7.6|7.2|
|RATE OF NA|T. INC.|3.03|2.93|2.88|2.79|2.60|2.42|2.22|2.02|1.81|
|NET MIGRATI|ON RATE|**-.1**|-. 1|-. 0|-. 0|-. 0|-. 0|.0|.0|.0|
|GROWTH<br>RAT|E|3.02|2.93|2.88|2.79|2.60|2.41|2.21|2.02|1.81|
|TOTALFERT|ILITY|6.142|5.825|5.495|5.092|4.624|4.179|3.751|3.362|3.006|
|NRR||2.314|2.259|2.195|2.095|1.928|1.770|1.617|1.474|1.340|
|**e(O)**- BOT|H SEXES|53.38|55.22|57.04|58.82|60.05|61.32|62.65|64.03|65.48|
|eWUO)- BO|TH SEXES|54.49|55.11|55.59|56.06|56.83|57.63|58.47|59.33|60.24|
|IMR<br>**-** BOTH|SEXES|106.5|96.1|85.0|73.3|68.0|62.7|57.5|52.0|46.4|
|qt5) *BOT|H SEXES|.1649|.1471|.1282|.1084|.1003|.0922|.0842|.0756|.0666|
|<br>DEP. RATIO|<br>93.5|<br> <br>93.4|<br>91.4|<br> <br>88.3|<br> <br>84.6|<br> <br>80.3|<br> <br>75.1|<br> <br>69.7|<br> <br>64.7|<br>60.0|
9

# AFRICA

# Population projection (thousands)

# **Sumwary** for 25 Year Periods

|.......<br>............<br>AGE GROUP|,_....<br>1985|..<br>.......................<br> <br>2000|2025|.................................<br>2050|..............<br>2075|2100|2125|._....<br>....<br>.<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL<br>N.F|559416|869768|1587365|<br>2275248|2760723|2962347|<br>3019815|<br>3042161|
|MALES|||||||||
|0-4|51646|73869|99448|<br>96466|97005|97301|<br>97409|97448|
|5-9|41546|63034|94739|<br>96248|<br>96971|97211|<br>97286|<br>97316|
|10-14|34445|55272|<br>90055|97030|97066|97066|97153|97207|
|15-19|29338|47446|83995|97114|96719|96714|96943|97060|
|20-24|24359|39400|768e|97012|95647|<br>96222|96678|96860|
|25-29|20298|32347|67721|94898|94806|<br>95857|<br>96474|96649|
|30-34|16641|27204|58387|90901|%462|95711|<br>96261|<br>96408|
|35-39|13426|<br>22362|50448|85656|94794|95490|<br>95882|<br>96059|
|40-44|10885|<br>18434|<br>42511|78924|94264|94697|95182|95522|
|45-49|9284|14822|34529|71100|<br>93183|92884|94040|94635|
|50-54|7714|11561|<br>27472|<br>61142|89344|90559|92317|93119|
|55-59|6213|8909|21951|50481|82435|87356|<br>89505|90313|
|60-64|4742|7053|16603|<br>40565|72830|<br>82763|84683|85441|
|65-69|3460|5207|12015|<br>30456|60347|74702|76702|<br>77635|
|70-74|2285|3476|7838|20488|45715|62851|64563|<br>66019|
|75+|2055|3092|6925|19794|51040|87448|99099|<br>103463|
|TOTAL|278335|433488|791474|1128274|<br>1356630|<br>1444832|<br>147017|7<br>1481152|
|FEMALES|||||||||
|0-4|50767|72590|<br>97568|94556|9489|94946|94954|<br>94928|
|5-9|41011|62226|93241|94601|95O89|<br>95031|<br>94954|<br>94910|
|10-14|34037|54701|88733|<br>95523|<br>95349|<br>95030|<br>94912|94887|
|15-19|28946|46855|82893|95816|<br>95235|<br>94877|94838|94869|
|20-24|24158|<br>39085|76096|96048|<br>94510|<br>94672|<br>94785|94869|
|25-29|20532|32249|67449|94317|93999|94619|94845|94878|
|30-34|17063|<br>27153|58443|90657|93974|94784|94901|94855|
|35-39|13983|<br>22442|50764|85734|<br>94654|94915|94833|94759|
|40-44|11473|<br>18876|42847|79375|94572|94585|94551|94578|
|45-49|9856|15481|<br>35132|72049|<br>94178|93466|94067|94282|
|50-54|8208|12429|p3362|<br>62852|91435|92236|93463|93851|
|55-59|6752|9867|23104|5ai;5|86224|90939|92610|92986|
|60-64|5203|8021|18083|<br>44297|78967|89392|90929|91259|
|65-69|3890|6059|13847|34835|69017|85307|87172|<br>87765|
|70-74|2641|4224|9627|25064|56302|77698|79647|<br>81070|
|75+|2561|4022|9703|28125|75698|135018|<br>158177|<br>166261|
|TOTAL|281081|436280|795891|1146974|<br>1404093|<br>1517515|<br>1549638|<br>1561008|
|BIRTH RATE||42.0|3273|20.9|15.4|13.5|12.9|12.8|
|DEATH<br>RATE||12.6|8.7|6.7|7.8|10.7|12,2|12.5|
|NET MIGRAT<br>**O**|<br>**N**RATE|-. 1|-. 0|***0**|.0|.0|.0|.0|
|GROWTH<br>RAT|E|2.94|2.41|1.44|.77|.28|.08|.03|
|TOTAL<br>FERTI|LITY|5.786|4.076|2.484|2.072|2.054|2.044|2.043|
|**e(O)-** BOTH|SEXES|55.39|61.68|68.90|74.66|76.81|78.55|78.75|
|**IMR**<br>**-** BOTH S|EXES|95.2|62.3|35.1|15.8|10.7|7.4|6.9|
10

# EAST AFRICA

|EAST AFRICA<br>....<br>....<br>_.,,,............_,,......,.,............__.||Poput<br>......|atlon projec<br>._.....|tlon**(thoua**<br>....................................|**wns)**|||||
|---|---|---|---|---|---|---|---|---|---|
|**AGEGROIP**<br>1985|1990|1995|<br>2000|2005|2010|2015|<br>2020|2025|2030|
|........<br>...............|.<br>.<br>.<br>.<br>.|.<br>.<br>.<br>.<br>.<br>.|.<br>.<br>.<br>...|..<br>.<br>.<br>.<br>..|.<br>.<br>.<br>.<br>.|.<br>.<br>.<br>.<br>.<br>.|.<br>.<br>.<br>.<br>.<br>.|.<br>.<br>.<br>.<br>.<br>.|.<br>.<br>.<br>..<br>.|
|TOTAL**M+F**<br>231239|27064.|315565|367295|425500|48579|556041|<br>626928|699966|772785|
|MALES||||||||||
|0-4<br>21433|25088|28296|32229|36057|39149|42031|<br>44483|46342|47058|
|5-9<br>17277|20267|23887|27143|31155|34965|3807?|40997|43515|45469|
|10-14<br>14324|16986|19973|23585|26849|30841|34643|<br>37759|40688|43223|
|15-19<br>12100|14094|16738|19709|23296|26543|30517|<br>34310|37430|40370|
|20-24<br>10138|11817|13795|16405|19340|22891|26115|<br>30065|33849|36979|
|25-29<br>8358|9845|11510|<br>13456|14018|la925|22437|<br>25639|29569|33351|
|30-34<br>6792|80m6|<br>9570|<br>11207|<br>13119|15649|<br>18528|<br>22005|25190|29106|
|35-39<br>5504|6556|7843|<br>9286|10891|12779|15274|<br> <br>18126|<br>21569|24740|
|40-44<br>4495|527|6310|7563|<br>a969|10548|12407|<br>14864|17685|21091|
|45-49<br>3731|4268|5030|6027|7236|8605|10150|<br>11972|14382|<br>17162|
|50-54<br>3073|3488|4004|4729|5679|6840|8162|9659|11429|<br>13772|
|55-59<br>2448|2803|3195|3677|4353|5248|6344|7598|<br>9026|10719|
|60-64<br>1878|2149|2472|2827|3262|3880|4700|5707|<br>6865|8192|
|65-69<br>1367|1551|1786|2062|2367|2747|3286|4005|4890|5915|
|70-74<br>897|1026|1173|1357|1575|1821|2130|<br>2567|3152|3877|
|**75g**<br>816|911|1044|1203|1399|1645|1936|<br>2296|2782|3439|
|TOTAL<br>114629|134228|156627|182466|211565|243076|276738|312053|348365|384463|
|FEMALES||||||||||
|0-4<br>21224|24806|27937|31767|35483|38518|41346|43750|45571|46268|
|5-9<br>17162|20121|23681|26873|30793|34506|37571|40447|42922|44842|
|10-14<br>14275|16879|<br>*9839|23397|26602|30510|34219|37293|40183|42680|
|15-19<br>12026|14058|16649|19599|<br>23141|26334|<br>30230|<br>33938|37023|<br>39931|
|20-24<br>10156|11796|13815|16379|19304|22820|26000|29885|33597|36701|
|25-29<br>8534|9925|11553|13544|<br>16072|18978|22466|25636|29514|33234|
|30-34<br>7002|8316|9693|11297|<br>13257|15760|18648|<br>22110|25273|29149|
|35-39<br>5745|6803|8097|9450|11026|12967|15445|<br>18314|21754|24913|
|40-44<br>4751|5559|6598|7863|<br>9187|10746|12665|15117|17968|21386|
|45-49<br>3983|4573|5362|6373|7605|8908|<br>10445|<br>12339|<br>14763|<br>17591|
|50-54<br>3310|3797|4368|5129|6106|7307|<br>8583|<br>10092|11954|14340|
|55-59<br>2693|3101|3565|4109|4834|576|6937|8176|9648|11467|
|60-64<br>2100|2447|2827|3259|3764|4451|5346|6451|7639|<br>9057|
|65-69<br>1562|1811|2120|2458|2843|3307|3937|4763|5786|<br>6898|
|70-74<br>1054|1237|1443|<br>1696|1976|2308|2710|3257|3979|4878|
|75+<br>1033<br> <br>|1186<br>|1392<br>|<br>1637<br>|1939|2308|2757|3306|4027|4985|
|TOTAL<br>116610|136415|158939|184830|213934|245502|279303|314875|351601|388322|
|BIRTH RATE|46.1|43.8|42.1|39.9|37.2|34.7|32.Z|29.7|26.9|
|DEATH RATE|14.4|13.1|11.7|10.4|9.6|8.8|8.2|7.6|7.1|
|RATE OF MAT. INC.|3.16|3.08|3.04|2.95|2.77|2.59|2.40|2.20|1.98|
|NET MIGRATION<br>RATE|-.2|-. 1|-. 0|-. 0|-.0|.0|.0|.0|.0|
|GROWTH<br>RATE|3.15|3.07|3.04|2.94|2.76|2.59|2.40|2.20|1.98|
|TOTAL FERTILITY|6.311|6.077|5.790|5.394|4.923|4.469|4.033|3.624|3.224|
|NRR|2.373|2.342|2.294|2.209|2.047|1.886|1.736|1.588|1.435|
|e(O) BOTH SEXES|5300|5478|5659|5839|5966|6098|625|||
||.|.|.|.|.|.|.3|63.77|65.26|
|**e(lO)**<br>**-** BOTH SEXES|54.56|55.18|55.67|56.12|56.89|57.68|58.50|59.36|60.26|
|IMR**-** BOTH SEXES<br>|110.3|101.0|90.1|77.9|71.9|66.1|60.3|54.3|48.1|
|q(5)- BOTH SEXES|.1715|.1554|.1365|.1153|.1060|.0972|.0883|0790|0693|
|<br>DEP. RATIO<br>94.6|95.0|93.6|91.4|87.9|<br>83.7|<br> <br>78.6|<br> <br>73.2|.<br> <br>68.2|.<br>63.3|
11

# EAST AFRICA

# Population projection (thousands)

# Suuary for 25 Year Periods

|.....<br>.......<br>..<br>AGE GROlP|......................<br>1985|<br>2000|...........................................<br> <br>2025|.........<br> <br>2050|2075|<br>2100|.......<br>2125|...........<br>............**.**.... .........................<br> <br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL 14.F|231239|<br>367295|<br>699966|<br>1034226|<br>12M59|1382928|<br>1410177|<br>1420681|
|KALES|||||||||
|0-4|21433|<br>32229|<br>46342|<br>44656|<br>45133|<br>45378|<br>45444|<br>45455|
|5-9|_17277_|<br>27143|<br>43515|<br>44480|<br>45244|<br>45389|<br>45393|<br>45390|
|10-14|14324|<br>23585|<br>40688|<br>.R531|<br>45472|<br>45335|<br>45316|<br>45331|
|15-19|12100|<br>19709|<br>37430|<br>46005|<br>45297|<br>45107|<br>45190|<br>45258|
|20-24|10138|<br>16405|<br>33849|<br>45568|<br>44556|<br>44785|<br>45056|<br>45172|
|25-29|8358|<br>13456|<br>29569|<br>44253|<br>43890|<br>44600|<br>44993|<br>45089|
|30-34|6792|11207|<br>25190|<br>41796|<br>43656|<br>44656|<br>44945|<br>44984|
|35-39|5504|<br>9286|21569|<br>38736|<br>44484|<br>44734|<br>44782|<br>44806|
|40-44|4495|<br>7563|<br>17685|<br>35201|<br>44657|<br>44351|<br>44393|<br>44528|
|45-49|37:1|6027|14382|<br>31340|<br>43770|<br>43270|<br>43769|<br>44105|
|50-54|3073|<br>4729|11429|<br>26691|<br>41660|<br>41923|<br>42954|<br>43428|
|55-59|2448|<br>iP677|<br>9026|<br>21750|<br>37893|<br>40371|<br>41761|<br>42169|
|60-64|1878|<br>2827|6865|<br>17311|<br>32915|<br>38837|<br>39672|<br>39906|
|65-69|1367|<br>2062|4890|<br>12628|<br>26885|<br>35386|<br>35925|<br>36210|
|70-74|897|1357|<br>3152|<br>8477|20108|<br>29517|<br>30078|<br>30728|
|75.|816|1203|<br>2782|<br>8090|21951|<br>40219|<br>46021|<br>48239|
|TOTAL|114A29|<br>182466|<br>348365|<br>512513|<br>627569|<br>673860|<br>685694|<br>690798|
|FEHALES|||||||||
|0-4|21224|<br>31767|<br>45571|<br>43882|<br>44262|<br>44395|<br>44414|<br>44396|
|5-9|17162|<br>26873|<br>42922|<br>43826|<br>44479|<br>44486|<br>44421|<br>44384|
|10-14|14275|<br>23397|<br>40183|<br>44931|<br>44781|<br>44499|<br>44386|<br>44365|
|15-19|12026|<br>19599|<br>37023|<br>454S3|<br>44715|<br>44364|<br>44324|<br>44352|
|20-24|10156|<br>16379|<br>33597|<br>45212|<br>44137|<br>44176|<br>44289|<br>049|
|25-29|8534|<br>13544|<br>29514|<br>44067|<br>43625|<br>44137|<br>44348|<br>44378|
|30-34|7002|<br>11297|<br>25273|<br>41760|<br>43537|<br>44336|<br>44425|<br>44374|
|35-39|5745|<br>9450|21754|<br>38844|<br>44524|<br>44577|<br>44406|<br>44315|
|40-44|4751|<br>.7863|<br>17968|<br>35472|<br>44906|<br>44410|<br>44211|<br>44202|
|45-49|3983|<br>6373|14763|<br>31830|<br>44331|<br>43649|<br>43893|<br>44054|
|50-54|3310|<br>5129|11954|<br>27515|<br>42715|<br>42805|<br>43597|<br>43883|
|55-59|2693|<br>4109|9648|<br>22978|<br>39706|<br>42127|<br>43318|<br>43528|
|60-64|2100|<br>3259|7639|<br>18990|<br>35757|<br>42044|<br>42703|<br>42731|
|65-69|1562|<br>2458|5786|<br>14611|<br>30812|<br>40497|<br>40926|<br>41036|
|70-74|1054|<br>1696|<br>3979|<br>10516|<br>24828|<br>36559|<br>37190|<br>37825|
|75+|1033|<br>1637|<br>4027|<br>11782|<br>32675|<br>62007|<br>73631|<br>77701|
|TOTAL|116610|<br>184830|<br>351601|<br>521713|<br>649790|<br>709069|<br>724483|<br>729882|
|BIRTH RATE||43.8|34.1|21.8|15.7|13.6|12.9|12.8|
|DEATH<br>RATE||12.9|8.7|6.5|7.3|10.4|12.2|12.5|
|NET HIGRATI|OIIRATE|-.1|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RAT|E|3.08|2.58|1.56|.84|.32|.08|.03|
|TOTAL FERT|ILIrY|6.031|4.354|2.578|2.069|i.051|2.041|2.040|
|**e(O)**<br>**-** BOT|H<br>SEXES|54.97|61.37|68.77|74.62|76.79|78.36|78.76|
|IMR**-** BOTH S|EJXES|99.7|65.5|36.2|15.7|10.6|7.4|6.9|
12

|**WEST**AFRICA<br>..<br>...............................................................|.......................................|Popul<br>..........................|ation projecti|on (thouand|s)|||||
|---|---|---|---|---|---|---|---|---|---|
|AGE GROUP<br>1985|1990|1995|200')|2005|2010|2015|2020|2025|2030|
|TOTAL M*F<br>203741|237878|275932|320243|370680|425109|482616|541984|601837|<br>660437|
|MALES||||||||||
|0-4<br>195S3|<br>22359|24830|28473|32125|34727|36849|38342|39145|<br>39084|
|5-9<br>15265|18212|:1027|23589|27315|30934|33566|3509|37332|<br>38252|
|10-14<br>12568|14904|17828|20643|23222|26925|30533|33176|35381|<br>36997|
|15-19<br>10534|12318|14627|17519|20312|22878|26559|30158|32812|<br>35038|
|20-24<br>8487|10260|12006|14267|17099|19661|22410|26068|29659|<br>32332|
|25-29<br>6901|8223|9947|11642|13839|16625|19355|21896|25534|<br>49124|
|30-34<br>5694|6673|7955|9626|11270|13432|16177|18sas|21421|<br>25046|
|35-39<br>4846|5483|6431|7670|9286|10902|1030|15739|18427|<br>20961|
|40-44<br>4093|4633|5248|6159|7350|8928|10514|12610|15280|<br>17946|
|45-49<br>3434|3872|4389|4977|5846|6999|8534|10086|12140|<br>14761|
|50-54<br>2789|3197|3611|4099|4653|5487|6595|8073|9579|<br>11574|
|55-59<br>2223|2536|2915|3298|3749|4.?4|5061|6107|7508|<br>8945|
|60-64<br>1693|1949|2232|2570|2912|-|3811|4533|5495|<br>6787|
|65-69<br>1204|1398|1617|1856|2143|244>|280V|3234|3868|4714|
|70-74<br>770|904|1056|1226|1412|1642|1886|2183|2534|<br>3052|
|75+<br>626|753|901|1068|1255|1473|_738_|2037|2395|<br>2822|
|TOTAL<br>1006Nv|<br>117674|136619|158681|183787|210856|239424|268875|<br>298508|<br>321433|
|FEMALES||||||||||
|0-4<br>19404|22191|24592|28142|31685|34242|36326|37791|38575|<br>38509|
|5-9<br>15316|18152|20961|23463|27109|30634|33229|35379|36936|<br>37835|
|10-14<br>12627|14966|17789|20605|23132|26761|30281|32890|35066|<br>36657|
|15-19<br>10605|*<br>12389|14707|17511|20315|22836|26452|29971|32597|<br>34798|
|20-24<br>8535|10376|12132|14420|17189|19974|22490|26096|29619|<br>32269|
|25-29<br>7173|8319|10120|11845|14093|16835|19601|22117|25717|<br>29250|
|30-34<br>6023|6963|8083|9845|11536|13760|16475|19228|21747|<br>25346|
|35-39<br>5146|5819|6737|7831|9551|11223|13422|16115|'8856|21381|
|40-44<br>4325|4945|5602|6f95|7561|9251|10902|v3078|15748|<br>18478|
|45-49<br>3602|4133|4735|5372|6239|7285|8941|10570|12720|<br>15363|
|50-54<br>2962|3409|3919|4497|5111|5957|6980|8596|10196|<br>12312|
|55-59<br>2403|2752|3176|3659|4207|4802|5620|6613|8178|<br>9739|
|60-64<br>1870|2163|-2487|2878|3324|3843|4411|5192|6143|7636|
|65-69<br>1368|1595|1854|2140|2485|2892|3368|3896|4621|<br>550s|
|70-74<br>905|1068|1254|1466|1700|1995|2344|2757|3222|<br>3862|
|75+<br>797<br> <br>|965<br> <br>|1164<br>|1392<br>|1654<br>|1965<br>|2350<br>|2820<br> <br>|3389<br> <br>|<br>4062<br> <br>|
|TOTAL<br>103062|<br>120204|139313|161561|**16s93**|214254|243192|<br>273109|<br>303329|<br>333004|
|BIRTH RATE|47.0|44.1|42.7|40.8|38.0|35.1|32.1|29.1|26.1|
|DEATH RATE|16.1|14.4|13.0|11.5|10.6|9.7|8.9|8.2|7.6|
|RATE OF NAT. INC.|3.09|2.97|2.98|2.93|2.74|2.54|2.32|2.10|1.86|
|NETMIGRATION<br>RATE|.1|.0|.0|-.0|-.0|-.0|-.0|.0|.0|
|GROWTH<br>RATE|3.10|2.97|2.98|2.93|2.74|2.54|2.32|2.10|1.86|
|TOTAL FERTILITY<br>|6.517<br>|6.223<br>|5.916<br>|5.518<br>|5.008<br>|4.501<br>|3.998<br>|3.513<br>|'.071<br>|
|**NIRR**|2.366|2.326|2.290|2.209|2.042|1.871|1.695|1.518|**1 7Ss**|
|**eCO)**- BOTH SEXES|50.21|52.15|54.11|56.08|57.53|59.03|60.58|62.17|63.r|
|**e(10)**- BOTH SEXES|52.82|53.47|53.94|54.38|55.29|56.23|57.19|58.18|59.eO|
|!MR- BOTH SEXES<br>|112.9<br>|102.1<br>|90.0<br>|77.5<br>|71.7<br>|66.1<br>|60.6<br>|55.0<br>|49.4<br>|
|q(5)- BOTH SEXES<br>DEP. RATIO<br>97.2|.1825<br> <br>97.6|.1630<br>95.6|.i413<br>92.7|.1192<br>89.7|.1098<br>86.1|.1006<br>80.5|.0915<br>73.9|.0824<br> <br>67.5|.0730<br> <br>61.4|
13

# **WEST** AFRICA

# Population projection (thousands)

# Sumry for 25 Year Periods

|AGE GROJP|1985|2000|2025|2050|2073|2100|2125|2150|
|---|---|---|---|---|---|---|---|---|
|.................|..................|.................||_....<br>......|____......|___.................|||
|TOTALFf|203741|320243|601837|873173|<br>1069803|<br>1152147|<br>1177389|<br>1187280|
|MALES|||||||||
|0-4|19553|28473|39145|37873|37887|37927|37968|<br>37993|
|5-9|15265|23589|37332|37776|37747|37846|37914|<br>37944|
|10-14|12568|20643|35381|37512|37636|37781|37875|<br>37906|
|15-19|10534|17519|32812|37184|<br>37530|37695|37812|<br>37850|
|20-24|8487|14267|29659|37587|37308|37564|37708|<br>37763|
|25-29|6901|11642|25534|37023|37153|37406|37596|<br>37667|
|30-34|5694|9626|21t1|35564|37008|37226|37466|<br>37567|
|35-39|4846|7670|18427|33381|36562|36986|37308|<br>37442|
|40-44|4093|6159|15280|30525|35988|36697|37082|<br>37250|
|45.49|3434|4917|<br>12140|27119|35978|36172|36693|<br>36901|
|50-54|2789|4099|9579|22735|<br>34707|35415|35998|<br>36274|
|55-59|2223|3298|7508|18213|32068|34124|34774|<br>35132|
|60-64|1693|2570|5495|<br>14527|28156|31790|32747|<br>33218|
|65-69|¶704|1856|3868|10678|23075|28355|29654|<br>30211|
|70-74|770|1226|2534|6996|17154|24081|25060|<br>25716|
|75.|626|1068|<br>2395|6519|18111|33400|38286|<br>40092|
|TOTAL|100679|158681|298508|431213|524066|560463|571942|<br>576928|
|FEMALES|||||||||
|0-4|19404|<br>28142|38575|37290|37215|37146|37141|<br>37137|
|5-9|15316|23463|36936|37315|<br>37180|37141|37138|<br>37133|
|10-14|12627|20605|35066|37121|37143|37137|37136|<br>37130|
|15-19|10605|17511|32597|36889|37136|37134|37127|<br>37125|
|20-24|8535|14420|29619|37437|37058|37122|37108|<br>37119|
|25-29|7173|11845|25717|37045|37038|37095|37105|<br>37110|
|30-34|6023|9845|21747|35747|37033|37047|37087|<br>37098|
|35-39|**514**|<br>7831|¶8856|<br>33722|<br>36737|<br>36955|37056|<br>37074|
|40-44|4325|649,|15748|31040|36350|36857|37001|<br>37023|
|45-49|3602|5372|12720|27848|36632|36615|36876|<br>36907|
|50-54|2962|4497|10196|<br>23753|35818|36299|36628|<br>36709|
|55-59|2403|3659|8178|19549|<br>33877|35773|<br>36175|<br>36328|
|60-64|1870|2878|6143|1(q25|30897|34601|35367|<br>35642|
|65-69|1368|2140|4621|12566|26M|32655|33913|<br>34318|
|70-74|905|1466|<br>3222|8857|21489|30045|'1123|<br>31742|
|75+|797|1392|3389|9557|<br>27360|52062|61466|<br>64757|
|TOTAL|103062|161561|303329|441959|545736|<br>591685|605447|610352|
|BIRTHRATE||44.4|34.3|21.4|15.6|13.6|13.0|12.8|
|DEATH<br>RATE||14.3|9.6|6.8|7.6|10.6|1Z2.|12.5|
|NET MIGRAT|ION<br>RATE|.0|-. 0|.0|.0|**.0**|.0|**.0**|
|GROWTH<br>RAT|E|3.01|2.52|1.49|.81|.30|.09|.03|
|TOTAL<br>FERT|ILITY|6.186|4.353|2.494|2.076|2.052|2.041|2.039|
|**e(O)**<br>**-** BOT|H SEXES|52.35|59.46|67.65|74.06|76.50|78.24|78.70|
|**IHR**<br>**-** BOTH|SEXES|100.9|65.7|37.8|17.4|11.4|7.6|7.0|
14 NORTH AFRICA Poputation projection (thousands)

|. ....<br>....<br>..<br>...<br>.....<br>......<br>AGE**GRCUP**<br>1985|......<br>..........<br>1990|...........<br>1995|....................<br>2000|2005|...<br>....<br>.......<br>2010|..........<br>2015|...............................<br>2020|2025|2030|
|---|---|---|---|---|---|---|---|---|---|
|<br> <br>...........<br>...<br>_. .............................|<br>.................................||||<br>....<br>....|<br>...............|<br>_.___...........|<br>............................................_|_...................|
|TOTAL<br>H.F<br>124436|142034|161647|182230|203542|224933|246059|<br>266228|285562|304202|
|MALES||||||||||
|0-4<br>10660|11352|12502|13167|13735|14026|1417'|14010|13961|14086|
|5-9<br>9004|10_'5|11112|12302|13005|13579|13E81|14037|13892|13858|
|10-14<br>7553|8925|10300|11044|12240|12945|13521|13826|13986|13846|
|15-19<br>6704|7475|8844|10218|1W965|12160|12866|13444|13754|13919|
|20-24<br>5733|6598|7368|8729|10099|10847|12040|12748|13331|13648|
|25-29<br>5039|5621|6482|7248|**8600**|9967|10715|11906|12618|13206|
|30-34<br>4156|4934|5515|6371|7133|8478|9839|10587|11776|12493|
|35-39<br>3077|4057|4829|5407|6257|7015|8350|9704|10452|11641|
|40-44<br>2297|2983|3917|4712|5285|6127|6879|8200|9546|<br>10295|
|45-49<br>2119|2204|2874|3818|4567|5133|5962|6705|8007|9340|
|50-54<br>1852|2003|2087|2733|3645|4373|4926|5736|6464|7737|
|55-59<br>1543|1708|1852|1934|2544|3409|4104|4638|5417|6121|
|60-64<br>1171|1369|1522|1656|1735|2295|3092|3740|4242|4974|
|65-69<br>888|980|1153|1288|1409|1482|1974|2678|3256|3713|
|70-74<br>619|678|753|893|1005|1106|1171|1573|2152|2635|
|75+<br>613|6o6|<br>734|822|965|1116|1266|1392|1748|2345|
|TOTAL<br>63027|71927|81878|92341|103189|114057|124758|134924|144602|153856|
|FEMALES||||||||||
|0-4<br>10138|10969|<br>12059|12680|13209|13489|13627|13472|13422|13537|
|5-9<br>8534|9888|10760|11890|12548|13084|13374|13524|13383|13346|
|10-14<br>7134|8461|9820|10700|11837|12498|13037|13330|13485|13349|
|15-19<br>6314|7064|8387|9746|10628|11766|12430|12973|13272|13433|
|20-24<br>5467|6223|6970|8285|9640|i0523|11662|12331|12881|13190|
|25-29<br>4825|5368|6118|6860|8167|9517|10402|<br>11542|12218|12778|
|30-34<br>4038|4727|5266|6011|6749|8048|9394|10279|11423|12107|
|35-39<br>3093|3945|4626|5161|5900|6636|7927|9267|10154|11302|
|40-44<br>2397|3009|3847|4518|5048|5784|6516|7797|9131|10022|
|45-49<br>2270|2319|2917|3736|4396|4923|5652|6380|7649|8977|
|50-54<br>1936|2175|2223|2803|3599|4247|4768|5489|6211|7465|
|55-59<br>1657|1823|20'91|2099|2655|3425|4056|4569|5278|5991|
|60-64<br>1233|1514|1670|1884|1933|2460|3192|3799|4300|4991|
|65-69<br>959|1069|1319|1461|1657|1710|2194|2870|<br>3440|3921|
|70-74<br>682|763|854|1061|1184|1356|1412|1833|2426|2937|
|75+<br>731|792|881|993|1201|1409|1658|1848|2288|2999|
|TOTAL<br>61409|70108|79769|89889|100353|110875|121301|131304|140960|150346|
|BIRTH RATE|37.1|35.2|32.2|29.6|27.1|24.8|22.4|20.7|19.4|
|DEATH RATE|10.4|9.2|8.2|7.4|7.1|6.8|6.7|6.6|6.8|
|RATE OFNAT.<br>INC.|2.67|2.60|2.41|**2.22**|2.00|1.80|1.58|1.40|1.27|
|NET MIGRATION<br>RATE|-.2|-. 2|-. 1|-.1|-.0|.0|.0|.0|.0|
|GRCOTH<br>RATE|2.65|2.59|2.40|2.21|2.00|1.80|1.58|1.40|1.26|
|TO'AL FERTILITY|5.191|4.726|4.256|3.795|3.363|2.999|2.673|2.455|2.332|
|NRR|2.128|1.995|1.844|1.675|1.491|1.342|1.208|1.119|1.074|
|e(0)**-** BOTHSEXES|59.36|61.25|63.01|64.62|65.54|66.49|67.48|68.51|69.59|
|**e(10)**<br>**-** BOTH SEXES|57.14|57.74|58.31|58.93|59.57|60.24|60.93|61.66|62.42|
|IMR- BOTH SEXES|84.4|71.7|60.2|50.2|46.7|43.1|39.4|35.6|31.6|
|q(5)**-**BOTH SEXES|1126|0937|0768|0629|0586|0540|0493|0443|0390|
|<br>DEP.RATIO<br>85.9|.<br>84.2|.<br>80.8|.<br>75.3|.<br>70.3|.<br>64.0|.<br>59.0|.<br> <br>54.9|.<br>51.8|.<br> <br>49.4|
1s

# NORTH AFRICA

Population projection (thousands)

# Suwr,ary for 25 Year Periods

|AGE GROJP|1985|2000|2025|2050|2075|2100|2125|2150|
|---|---|---|---|---|---|---|---|---|
|. ..<br>.....<br>......|....<br>....<br>.|...<br>.....|..<br>.......|..|..<br>.....|..<br>.....|.<br>.<br>...|.<br>.<br>.|
|TOTAL N4F|124436|182230|285562|367850|413561|427272|432249|434201|
|MALES|||||||||
|0-4|10660|13167|13961|13936|13985|13996|13998|<br>13999|
|5-9|9004|12302|13892|13992|13980|13976|13978|<br>13982|
|10-14|7553|11044|13966|13987|13959|13950|13962|<br>13969|
|15-19|6704|10218|13754|13924|13891|13912|13941|<br>13952|
|20-24|5733|8729|13331|13856|13783|13874|<br>13913|<br>13925|
|25-29|5039|7248|12618|13622|13763|13851|13886|<br>13893|
|30-34|415A|6371|11776|13541|13799|13829|13849|<br>13857|
|35-39|3077|5407|10452|13539|13748|13770|<br>13791|<br>13811|
|su-44|2297|4712|9546|13198|13620|13649|<br>13706|<br>13744|
|45-49|2119|3818|8007|12641|13434|13443|13578|<br>13629|
|50-54|1852|2733|6464|11717|12978|13221|13365|<br>13416|
|55-59|1543|1934|5417|10517|12475|12860|<br>12969|<br>13012|
|60-64|1171|1656|4242|8727|11760|12137|12264|<br>12316|
|65-69|888|1288|3256|7151|10388|10962|11123|<br>11215|
|70-74|619|893|2152|5015|8453|9253|9426|9575|
|75+|613|822|1748|5185|10978|13829|14791|<br>15132|
|TOTAL|63027|92341|144602|184548|204995|210510|<br>212541|213427|
|FENALES|||||||||
|0-4|10138|<br>12680|<br>13422|<br>13383|<br>13412|<br>13405|<br>13399|<br>13395|
|5-9|8534|11890|13383|13461|13430|13404|13395|<br>13393|
|10-14|7134|10700|13485|13471|13425|13394|<br>13390|<br>13392|
|15-19|6314|<br>9746|<br>13272|<br>13432|<br>13384|<br>13379|<br>13387|<br>13391|
|20-24|5467|<br>8285|<br>12881|<br>13400|<br>13316|<br>13374|<br>13387|<br>1339i|
|25-29|4825|<br>6860|<br>12218|<br>13206|<br>13335|<br>13387|<br>13393|<br>13389|
|30-y3|4038|<br>6011|<br>11423|<br>13151|<br>13404|<br>13400|13389|<br>13383|
|35-39|3093|<br>5161|<br>10154|<br>13168|<br>13393|<br>13382|<br>13370|<br>13371|
|40-44|2397|<br>4518|9131|<br>12863|<br>13317|<br>13317|<br>13339|<br>13353|
|45-49|2270|<br>3736|<br>7649|<br>12371|<br>13215|<br>13202|13298|<br>13321|
|50-54|1936|2803|6211|11583|12901|13132|13239|<br>13260|
|55-59|1657|<br>2099|<br>5278|<br>10598|<br>12641|<br>13039|<br>13117|<br>13131|
|60-64|1233|<br>1884|<br>4300|<br>9082|<br>12313|<br>12748|<br>12859|<br>12885|
|65-69|959|<br>1461|<br>3440|<br>7658|<br>11432|<br>12156|<br>12332|<br>12411|
|70-74|682|<br>1061|<br>2426|<br>5691|<br>9985|<br>11094|<br>11335|<br>11503|
|75+|731|<br>993|<br>2288|<br>6785|<br>15663|<br>20949|<br>23079|<br>23804|
|TOTAL|61409|<br>89889|<br>140960|<br>183301|<br>208566|<br>216762|<br>219708|<br>220774|
|BIRTH RATE||34.6|24.5|17.2|14.1|13.1|12.8|12.7|
|DEATH RATE||9.2|6.9|7.2|9.4|11.8|12.4|12.5|
|NET MIGRAT|ION RATE|-. 2|-. 0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE||2.54|1.80|1.01|.47|.13|.05|.02|
|TOTAL FERTI|LITY|4.678|2.983|2.196|2.075|2.067|2.061|2.061|
|eCO)- BOT|H SEXES|61.36|66.70|72.06|76.26|77.65|78.65|78.90|
|<br>IuR- BOTH S|EXES|71.7|43.0|23.9|11.4|8.7|6.9|6.6|
16

|A4ERICA<br>............<br>......................||Popu<br>_._,...............................|Lationproje<br>................|ction<br>(thoL**ar**|**ds)**|||||
|---|---|---|---|---|---|---|---|---|---|
|AGE GRO<br>1985|1990|1995|<br>2000|<br>2005|2010|<br>2015|<br>2020|<br>2025|<br>2030|
|......................................................................|.....................................|.......................||||||||
|TOTAL**M*F**<br>666650|<br>721071|<br>775399|<br>826354|<br>873255|918029|<br>961972|<br>1003329|<br>103952|0<br>1069401|
|MALES||||||||||
|0-4<br>37838|39407|39801|38718|37648|37820|<br>38810|<br>39308|<br>39019|<br>38504|
|5-9<br>34615|37531|39164|39624|<br>38591|37531|<br>37707|<br>38698|<br>39192|<br>38903|
|10-14<br>33325|34539|37462|39111|39577|38545|<br>37485|<br>37659|<br>38642|<br>39130|
|15-19<br>32127|33211|<br>34435|37365|<br>39017|<br>39482|<br>38454|<br>37398|<br>37568|<br>38545|
|20-24<br>31573|<br>31956|33055|34298|<br>37219|<br>38866|<br>39329|<br>38305|<br>37246|<br>37409|
|25-29<br>28628|31385|31790|<br>32910|<br>34148|37054|<br>38692|<br>39150|<br>38120|<br>37059|
|30-34<br>25067|28446|31206|31635|32751|33981|<br>36871|<br>38500|<br>38948|<br>37918|
|35-39<br>20940|24859|<br>28236|30999|31431|32539|<br>33763|<br>36637|<br>38256|<br>38702|
|40-44<br>16860|20683|24583|27951|30699|<br>31128|<br>32230|<br>33"49|36303|<br>37919|
|45-49<br>14100|16518|<br>20304|24166|<br>27502|30212|<br>30641|<br>31737|<br>32951|<br>35784|
|50-54<br>12458|13622|<br>16003|19716|<br>23496|26761|<br>29415|<br>29847|<br>30934|<br>32146|
|55-59<br>11543|11779|12920|<br>15225|<br>18805|22437|<br>25582|<br>28145|<br>28583|<br>29656|
|60-64<br>10052|10573|<br>10829|11917|<br>14092|17445|<br>20848|<br>23B09|<br>26229|<br>26671|
|65-69<br>7931|8771|9273|<br>9535|10531|12490|<br>15509|<br>18573|<br>21258|<br>23462|
|70-74<br>5953|6392|7124|7571|<br>7816|8656|<br>10308|<br>12850|<br>15433|<br>17717|
|75.<br>7038|7487|8112|9017|9639|10448|<br>11395|<br>13124|<br>15918|<br>19292|
|TOTAL<br>33004|357160|384297|<br>409758|<br>433163|455396|<br>477040|<br>497190|<br>514602|<br>528817|
|FEMALES||||||||||
|0-4<br>36599|37869|38210|37132|36066|36235|<br>37189|<br>37671|<br>37399|<br>36910|
|5-9<br>33607|36360|37691|38D90|<br>37052|35995|<br>36169|<br>37125|<br>37605|<br>37331|
|10-14<br>32380|33567|36328|37674|38077|37038|<br>35981|<br>36153|<br>37103|<br>37576|
|15-19<br>31300|32350|33543|36310|37656|38&^5|5<br>37016|<br>35958|<br>36124|<br>37066|
|20-24<br>31110|31299|32350|33548|36302|37640|<br>38032|<br>36989|<br>35918|<br>36070|
|25-29<br>28438|31113|31302|32357|33539|36278|<br>37607|<br>37990|<br>36932|<br>35848|
|30-34<br>25124|28406|31074|31269|32313|33486|<br>36214|<br>37538|<br>37909|<br>36844|
|35-39<br>21180|25049|28325|3089|31179|32216|<br>33384|<br>36104|<br>37424|<br>37791|
|40-44<br>17217<br> <br>|21058<br>|24914<br>|28182<br>|30833<br>|31021|<br>32056|<br>33222|<br>35936|<br>37258|
|45-49<br>14555|17042|20863|24696|27947|30579|<br>30769|<br>31803|<br>32971|<br>35680|
|50-54<br>13086|14308|<br>16778|20565|24360|27579|<br>30185|<br>30379|<br>31414|<br>32587|
|55-59<br>12445|12740|<br>13952|16391|<br>20123|23853|<br>27023|<br>29590|<br>29793|<br>30830|
|60-64<br>11242|11929|<br>42233|13424|<br>15812|19444|<br>23070|<br>26164|<br>28671|<br>28890|
|65-69<br>9316|10463|<br>11132|11441|<br>12588|14866|<br>18327|<br>21779|<br>24740|<br>27147|
|70-74<br>7581|8193|9247|9872|10173|11218|<br>13301|<br>16460|<br>19608|<br>22333|
|75+<br>11423<br> <br>|12164<br>|13159<br>|14656<br> <br>|16072<br>|17129|<br>18609|<br>21213|<br>25372|<br>30423|
|TOTAL<br>336603|363911|391102|<br>416596|<br>440093|462633|<br>484932|<br>506139|<br>524918|<br>540534|
|BIRTH RATE|23.4|21.7|19.6|17.9|17.0|16.6|16.0|15.3|14.6|
|DEATH RATE|8.1|7.5|7.2|7.1|7.2|7.4|7.7|8.2|8.9|
|RATE OF MAT. INC.|1.53|1.42|1.24|1.08|.98|.92|.83|.70|.57|
|NET MIGRATION RATE|.4|.3|.3|.2|.2|.2|.1|.1|.0|
|**GROWTH**<br>RATE|1.57|1.45|1.27|1.10|1.00|.94|.84|<br>.71|.57|
|TOTAL FERTILITY|2.839|2.671|2.465|2.280|2.183|2.152|2.132|2.11i|2.097|
|NRR|1.307|1.233|1.153|1.074|1.029|1.016|1.010|1.004|1.000|
|e(0)**-** BOTH SEXES|70.17|71.20|72.13|72.97|73.35|73.75|74.18|74.63|75.10|
|**e(10)-** BOTH SEXES|63.49|64.08|64.57|65.02|65.29|65.59|65.90|66.23|66.57|
|IMR- BOTH SEXES<br>|43.9<br>|38.1|32.2|26.7|24.7|22.9|21.0|19.1|17.3|
|q(5)- BOTH SEXES|.0542|.0462|.0383|.0313|.0289|.0266|.0244|0222|0199|
|<br>DEP. RATIO<br>63.0|60.8|58.7|<br>54.8|<br> <br>50.8|<br>48.|<br>1<br>47.7|<br> <br>49.1|.<br> <br>51.0|.<br> <br>52.6|
17 .... **.** .............. **......** ... ..

# AMERICA

# Population projection (thousands)

# Sumary for 25 Year **Periods**

|AGE GRCJP|1985|2000|2025|2050|2075|2100|2125|2150|
|---|---|---|---|---|---|---|---|---|
|...........<br>......|...............|...|....<br>......<br>.....|......<br>....|.......<br>..........|...<br>.......|......<br>...|................|
|TOTAL M4F|66650|826354|1039520|1146188|1181226|1192473|<br>1197887|<br>1200026|
|MALES|||||||||
|0-4|37838|38718|39019|38696|38574|38564|38575|38584|
|5-9|34615|39624|39192|38559|38450|38494|38531|38544|
|10-14|33325|39111|38642|38284|38352|38461|38509|38517|
|15-19|32127|37365|37568|38083|38324|38437|38471|38470|
|20-24|31573|34298|37246|38166|38339|38379|38390|<br>38389|
|25-29|28628|32910|38120|38511|38345|38264|38279|38296|
|30-34|25067|31635|38948|38621|38159|38094|38164|<br>38208|
|35-39|20940|30999|38256|37923|37789|37910|38049|38106|
|40-44|16860|<br>27951|36303|36662|37444|37748|37901|<br>37945|
|45-49|14100|<br>24166|32951|36025|37255|37512|37602|<br>37627|
|50-54|12458|<br>19716|30934|36234|37027|36990|36979|37013|
|55-59|11543|<br>15225|<br>28583|35799|36031|35771|35804|<br>35898|
|60-64|10052|<br>11917|<br>26229|33149|33516|33633|33870|34035|
|65-69|7931|9535|21258|28487|29550|30489|30908|<br>31086|
|70-74|5953|7571|15433|<br>21947|24870|26091|26481|<br>26608|
|75+|7038|9017|15918|<br>29958|<br>39004|41084|41864|<br>42174|
|TOTAL|330048|409758|514602|565104|581029|585922|588378|<br>5802|
|FEMALES|||||||||
|0-4|36599|37132|37399|37118|36978|36934|36932|36936|
|5-9|33607|38090|37605|37027|36909|36913|36929|<br>36934|
|10-14|32380|37674|37103|36788|36853|36915|36935|36935|
|15-19|31300|36310|36124|36638|36880|36944|36941|36933|
|20-24|31110|33548|35918|36796|36981|36968|36933|<br>36923|
|25-29|28438|32357|36932|37223|37070|36945|36910|<br>36911|
|30-34|25124|31269|37909|37426|36965|36867|36881|<br>36900|
|35-39|21180|30989|37424|36861|36697|36789|36865|<br>36889|
|40-44|17217|<br>28182|35936|35788|36491|36M|36857|<br>36860|
|45-49|14555|<br>24696|32971|35415|36530|36774|36793|<br>36769|
|50-54|13086|<br>'<br>20565|31414|36115|36720|36665|36591|<br>36572|
|55-59|12445|<br>16391|<br>29793|36543|36493|36194|36176|<br>3621|
|60-64|11242|<br>13424|<br>28671|35199|35202|35275|35486|<br>35598|
|65-69|9316|11441|<br>24740|32254|32821|33816|34262|<br>34400|
|70-74|7581|9872|19608|<br>27032|29952|31402|31884|<br>31986|
|75+|11423|<br>14656|<br>25372|46864|<br>60655|64380|66133|<br>66762|
|TOTAL|336603|416596|524918|581084|600197|606551|609509|610524|
|BIRTH RATE||21.5|16.5|13.9|13.0|12.8|12.7|12.7|
|DEATH<br>RATE||7.6|7.5|¶0.0|11.8|12.4|12.5|12.6|
|**NET**MIGRA|TION<br>RATE|.3|.2|.0|.0|.0|.0|.0|
|GROWTH<br>RAT|E|1.43|.92|.39|.12|.04|.02|.01|
|TOTAL FERT|ILITY|2.650|2.170|2.084|2.063|2.061|2.060|2.060|
|eCO)- **BOT**|**H**<br>SEXES|71.21|73.81|76.16|78.03|78.60|78.99|79.00|
|<br>**I*R**<br>**-**BOTH|SEXES|38.1|22.8|13.7|7.9|7.1|6.5|6.4|
18

|LATIN AMERICA AND THE<br>. ...<br>.....<br>........<br>....................|CARIBBEAN<br>......|PopuLa<br>...............|tionprojectio<br>......................................|n<br>(thousard|s)||. ................|||
|---|---|---|---|---|---|---|---|---|---|
|AGE GR(XP<br>1985|199C|1995|2000|2005|2010|2015|2020|2025|2030|
|...<br>,..._................................................................|...............................................|...........||||||||
|TOTAL M+F<br>398591|441028|483988|524799|562733|599298|635687|670841|703166|731896|
|HALES||||||||||
|0-4<br>27485|28608|29194|28534|27547|27543|28271|28632|28369|27920|
|5-9<br>24921|27039|28232|28883|28299|27343|27366|28118|28503|28265|
|10-14<br>23466|24744|26872|28081|28758|28190|27251|27288|28051|28449|
|15-19<br>21467|23259|24547|26685|27916|28608|28059|27139|27191|_27969_|
|20-24<br>19486|<br>21126|22932|24239|26402|27659|28377|<br>27862|26976|27059|
|25-29<br>16327|19079|20737|22559|23903|26092|27380|<br>28133|27660|26819|
|30-34<br>13717|<br>15967|18721|20393|222"4|23614|25823|27139|27923|<br>27490|
|35-39<br>11049|13401|15650|18402|20095|21960|23347|25569|26907|27718|
|40-44<br>9075|10760|13097|15338|18W86|19784|21653|23051|25278|26635|
|45-49<br>7691|8781|10447|12754|14976|17694|19385|21247|22649|24870|
|50-54<br>6485|7347|8418|10044|12296|14468|17128|18797|<br>20639|22036|
|55-59<br>5513|6059|6889|7919|947?|11631|<br>13719|16281|17908|19706|
|60-64<br>4351|4976|5493|6271|7235|8686|10691|12649|15058|1661i|
|65-69<br>3228|3723|4284|4754|5454|6317|7613|9406|<br>11171|13352|
|70-74<br>2377|2532|2943|3411|3810|4395|5118|6198|7696|9187|
|75+<br>2542|2734|2961|33.9|3930|4499|5218|6118|7376|<br>9126|
|TOTAL<br>199183|<br>220134|241417|261645|280426|298481|316400|333628|349355|363213|
|FEMALES||||||||||
|0-4<br>26724|<br>27580|28106|27434|26449|26449|27151|27500|27249|26821|
|5-9<br>24361|26337|27260|27845|27239|26285|26312|27037|27411|27186|
|10-14<br>22996|<br>24212|26200|27139|27748|27157|<br>26219|26259|26998|2n34|
|15-19<br>21063|22843|24068|26066|27027|27651|27077|26155|26210|26963|
|20-24<br>19260|20832|22620|23856|25881|26869|27518|26972|<br>26077|26159|
|25-29<br>16242|<br>1895|20574|22371|23639|25691|26708|27386|<br>26872|<br>26010|
|30-34<br>13737|16010|<br>18761|20348|22170|23460|25531|26572|<br>27273|<br>26789|
|35-39<br>11102|<br>13537|15807|18554|20159|21994|23299|25382|26443|27165|
|40-44<br>9174|10927|13350|_15612_|18359|19970|21812|23126|25217|26295|
|45-49<br>7856|9003|10740|13143|15395|18127|19738|21581|22902|24996|
|50-54<br>6731|7657|8791|10506|12878|15106|<br>17810|19417|21256|<br>22582|
|55-59<br>5806|6486|7396|8510|10190|12513|14702|1763|18960|20789|
|60-64<br>4712|5479|*6141|7024|8108|9732|11978|<br>14106|167C1|18279|
|65-69<br>3613|4277|4998|628|6467|7492|9023|11145|13172|15653|
|70-74<br>2777|3052|3639|;281|4853|5608|6535|7913|9827|11680|
|75+<br>3255|3666|4120|4837|5745|6713|7876|9299|11243|13933|
|TOTAL<br>199408|220894|242570|Z63154|28230|300817|319288|337213|353811|36|
|BIRTH RATE|28.6|26.2|23.3|20.6|19.3|¶8.5|17.7|16.6|15.6|
|DEATH RATE|7.4|6.8|C.3|6.1|6.3|6.5|6.8|7.1|7.6|
|RATE OF NAT. INC.|2.12|1.94|1.69|1.45|1.30|1.21|1.09|.95|.80|
|NET MIGRATION RATE|-. 9|-. 8|-. 7|-. 5|-A|-. 3|-. 2|-. 1|.0|
|GROWTH<br>RATE|2.02|1.86|1.62|1.40|1.26|1.18|1.08|.94|.80|
|TOTAL FERTILITY|3.568|3.150|2.776|2.457|2.293|2.230|2.187|2.145|2.113|
|NRR|1.589|1.426|1.275|1.142|1.070|1.045|1.029|1.013|1.003|
|e(0) - BOTH SEXES|66.56|68.00|69.30|70.47|71.08|71.70|72.34|73.00|73.68|
|e(lO)<br>- BOTH SEXES|61.46|62.14|62.73|63.28|63.70|64.14|64.59|65.06|65.54|
|IMR - BOTH SEXES|55.8|48.0|40.;|33.3|30.8|28.3|25.9|23.4|21.0|
|q(5)<br>-BOTH SEXES|.0692|.0584|.0481|.0392|.0362|.0332|.0303|.0273|0243|
|<br> <br>DEP. RATIO<br>72.7|<br> <br>68.0|<br>64.0|<br>58.7|<br>53.6|<br>49.3|<br>47.2|<br>47.1|<br>47.7|.<br> <br>48.5|
19

# LATIN AMERICA AND THE CARIBSEAN

# Population projection (thousands)

# Suwiry for 25 Year Periods

|AGE GRCOJP<br>1985|_2W0_|2025|2050|2075|2100|2125|<br>2150|
|---|---|---|---|---|---|---|---|
|....<br>.....<br>.........<br>.<br>.|.<br>.<br>.<br>.<br>.<br>.|.<br>.<br>.<br>.<br>.<br>.|.<br>.<br>..<br>.<br>.|.<br>.<br>.<br>..<br>|..<br>.<br>..<br>.<br>.|.<br>.<br>.<br>.<br>.<br>|.<br>.<br>.<br>.<br>..|
|TOTAL 4.F<br>398591|524799|703166|814391|853076|864277|869430|871444|
|MALES||||||||
|0-4<br>i7485|28534|28369|28098|28005|27999|28008|28016|
|5-9<br>24921|28883|28503|27"96|27907|27944|27975|27986|
|10-1<br>23466|<br>2808|28051|2M4|27825|27916|2)959|27967|
|15-19<br>21467|26685|27191|27587|27798|27898|27931|27932|
|20-24<br>19486|24239|26976|27640|27811|27858|27872|27872|
|25-29<br>16327|22559|27660|27946|27827|27773|27789|27804|
|30-34<br>13717|20393|27923|28034|27687|27640|27701|27738|
|35-39<br>11049|18402|26907|27462|27392|27493|27613|27664|
|40-44<br>9075|15338|25278|26454|27097|27367|27504|27547|
|45-49<br>7691|12754|22649|25992|2b945|27194|27288|27315|
|50-54<br>6486|10044|20639|26165|26822|26821|26831|2686S|
|55-59<br>5513|7919|1790s|25494|26087|25923|25966|26050|
|60-64<br>4351|6271|15058|23091|24178|24336|24547|24691|
|65-69<br>3228|4754|11171|19565|21203|22006|22386|22546|
|70-74<br>2377|3411|7696|14795|17801|18800|19170|19294|
|75+<br>2542|3379|7376|18129|27255|29465|30235|30537|
|TOTAL<br>199183|261645|349355|402222|419641|424434|426774|427825|
|FEMALES||||||||
|0-4<br>26724|27434|27249|27003|26889|26851|26849|26851|
|5-9<br>24361|27845|27411|26938|26835|26833|26846|26850|
|10-14<br>22996|27139|26998|26746|26786|26834|26851|26851|
|15-19<br>21063|26066|26210|26602|26802|26856|<br>26856|26850|
|20-24<br>19260|23856|26077|26715|26880|<br>26878|26851|26842|
|25-29<br>16242|22371|<br>26872|<br>27085|26961|<br>26862|<br>26833|26832|
|30-34<br>13737|20348|<br>27273|<br>27245|26885|<br>26800|26809|26824|
|35-39<br>11102|18554|26443|26774|26669|26733|26796|26816|
|40-44<br>9174|15612|25217|25904|26479|<br>26716|<br>26790|26796|
|45-49<br>7856|13143|22902|25630|26498|<br>26719|26746|26729|
|50-54<br>6731|10506|21256|<br>26166|26681|<br>26649|26598|26583|
|55-59<br>5806|8510|18960|26133|26506|26296|26287|<br>26319|
|60-64<br>4712|7024|16701|24649|25477|25593|25769|25866|
|65-69<br>3613|5628|13172|22329|<br>2z31|24472|<br>24866|<br>24991|
|70-74<br>2777|4281|9827|18389|21477|22682|23126|23232|
|75+<br>3255|4337|11243|27861|41991|46069|47783|48386|
|TOTAL<br>199408|263154|353811|412169|433435|<br>439844|442656|443619|
|BIRTH RATE|25.9|18.4|14.6|13.2|12.9|12.7|12.7|
|DEATH<br>RATE|6.8|6.6|8.8|11.3|i2.3|12.5|12.6|
|NET MIGRATION<br>RATE|-.8|-.3|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|1.83|1.17|.59|.19|.05|.02|.01|
|TOTAL FERTILITY|3.131|2.z56|2.091|2.063|2.060|2.059|2.058|
|**e(O)**<br>- BOTH SEXES|68.04|71.79|75.17|77.68|78.42|7L.93|79.06|
|**IHR**- BOTH<br>**SEXES**|48.1|28.3|16.1|8.4|7.3|6.6|6.5|
20 NORTHERN AMERICA Poputation projection (thoiwands)

|AGE GROUP<br>1985|1990|1995|2000|2005|2010|2015|2020|2025|<br>2030|
|---|---|---|---|---|---|---|---|---|---|
|TOTAL .FP<br>268059|280043|291411|<br>301554|<br>310522|318731|326285|<br>332488|<br>336355|<br>337505|
|MALES||||||||||
|0-4<br>10353|<br>10798|<br>10608|<br>10184|<br>10101|10276|10539|10675|<br>10650|<br>10584|
|5-9<br>9693|10492|<br>10932|<br>10741|<br>10292|10188|10341|10580|<br>10690|<br>10638|
|10-14<br>9859|9795|10590|<br>11029|<br>10819|10354|10234|10371|<br>10591|<br>10681|
|15-19<br>10660|9952|9887|10681|<br>11101|10875|10395|10259|<br>10376|<br>10576|
|20-24<br>12086|<br>10830|<br>10122|<br>10059|<br>10818|11207|10952|10443|<br>10270|<br>10350|
|25-29<br>12301|<br>12306|<br>11053|<br>10351|<br>10245|10962|11311|11017|<br>10460|<br>10240|
|30-34<br>11350|<br>12480|12485|<br>11242|<br>10506|10368|11048|11361|<br>11025|<br>10428|
|3539<br>9891|11458|<br>12585|<br>12598|<br>11336|10579|10416|11068|<br>11349|<br>10983|
|40-44<br>7784|9923|11485|<br>12613|<br>12613|11345|10576|<br>10398|<br>11025|<br>11284|
|45-49<br>6410|7737|9857|11412|<br>12525|12519|11257|10489|<br>10302|<br>10913|
|50-54<br>5972|6275|7585|<br>9672|11202|12293|12287|11050|<br>10296|<br>10111|
|55-59<br>6030|5720|6031|7306|<br>9328|10806|11863|<br>11863|<br>10674|<br>9950|
|60-64<br>5701|5597|5336|5646|<br>6856|8760|10157|<br>1116.0|<br>11170|<br>10060|
|65-69<br>4704|5049|4989|4781|5077|6173|7897|91S8|<br>10087|<br>10110|
|70-74<br>3576|3860|4180|4160|4006|4261|5191|6652|<br>7738|<br>8529|
|75+<br>4496|4753|5152|5639|<br>5909|5949|6177|7006|<br>8543|<br>10166|
|TOTAL<br>130865|<br>137026|<br>142879|<br>148113|<br>152736|156915|<br>160640|<br>163562|<br>165247|<br>165603|
|FEMALES||||||||||
|0-4<br>9875|10289|<br>10105|<br>9698|<br>9617|9786|10038|<br>10171|<br>10149|<br>10088|
|5-9<br>9246|10023|<br>10432|<br>10245|<br>9813|9710|9858|10088|<br>10194|<br>10146|
|10-14<br>9384|9355|10128|<br>10535|<br>10329|9881|9762|9894|10105|<br>10192|
|15-19<br>10238|9507|9474|10244|<br>10629|10405|9939|9803|<br>9914|<br>10103|
|20-24<br>11850|10467|<br>9730|9692|10421|10771|10514|<br>10017|<br>9841|<br>9911|
|25-29<br>12196|12118|<br>10728|<br>9986|9900|10587|10899|<br>10605|<br>10060|<br>9837|
|30-34<br>11387|<br>12396|<br>12313|<br>10921|<br>10143|10J26|10683|<br>10966|<br>10635|<br>10055|
|35-39<br>10078|<br>11512|<br>12518|<br>12434|<br>11020|10222|<br>10085|<br>10723|<br>10981|<br>10626|
|40-44<br>8043|10131|<br>11564|<br>12569|<br>12474|11051|10244|10097|<br>10720|<br>10964|
|45-49<br>6699|8040|10123|<br>11553|<br>12552|<br>12453|<br>11031|<br>10222|<br>10069|<br>10684|
|50-54<br>6354|6651|7987|10059|<br>1142|12473|<br>12375|<br>10962|<br>10158|<br>10005|
|55-59<br>6639|6254|6556|7881|<br>9933|11340|12321|<br>12227|<br>10834|<br>10041|
|60-64<br>6529|6450|6092|6399|7703|9712|11092|<br>12057|<br>11971|<br>10611|
|65-69<br>5703|6186|6135|5813|<br>6122|7374|9304|10634|<br>11568|<br>11494|
|70-74<br>4804|5141|5609|5591|<br>5321|5610|6766|8547|<br>9781|<br>10654|
|75+<br>8168<br> <br>|8498<br> <br>|9039<br> <br>|9819<br> <br>|10327<br> <br>|10416<br>|10733<br> <br>|<br>11914<br> <br>|<br>14129<br> <br>|<br>16491<br> <br>|
|TOTAL<br>137195|<br>143017|<br>148531|<br>153442|<br>157786|161816|<br>165644|<br>168926|<br>171108|<br>171901|
|BIRTH RATE|15.4|14.5|13.4|12.9|12.8|12.8|12.7|12.5|12.4|
|DEATH RATE|9.0|8.7|8.6|8.7|8.9|9.1|9.6|10.5|11.7|
|RATE OF NAT. INC.|.64|.58|.48|.42|.39|.37|.31|.20|.07|
|NET MIGRATION<br>RATE|2.3|2.2|2.0|1.6|1.3|1.0|.7|.3|.0|
|GROWTH<br>RATE|.87|.80|.68|.59|.52|.47|**.38**|.23|.07|
|TOTAL FERTILITY|1.867|1.864|1.863|1.897|1.930|1.962|1.994|2.025|2.055|
|NRR|.898|.898|.898|.915|.932|.948|.963|.979|.994|
|e(0) - BOTH SEXES|75.70|76.38|76.95|77.40|77.54|77.68|77.82|77.97|78.13|
|e(lO) - BOTH SEXES|66.60|67.22|67.71|68.10|68.23|68.36|68.50|68.63|68.77|
|IMR - BOTH SEXES|10.2|9.4|8.6|7.9|7.8|7.7|7.6|7.4|7.3|
|q(5) -BOTH SEXES|0114|0104|0095|0087|0086|.0084|.0083|.0081|.0080|
|<br>DEP. RATIO<br>50.4|.<br> <br>50.7|.<br> <br>50.6|.<br> <br>48.3|.<br> <br>45.9|.<br>45.7|<br> <br>48.7|<br> <br>53.4|<br> <br>58.6|<br>62.5|
21

# ORTHERN AMERICA

# Pqputation projection (thouawds)

# Summary for 25 Year Periods

|**AGE**<br>**GRUOP**|1965|2000|2025|2050|<br>2075|2100|<br>2125|<br>2153|
|---|---|---|---|---|---|---|---|---|
|......|.<br>...............|........................................|.......................................|..................................|||..|....|
|TOTAL**N+F**|268059|<br>301554|<br>336355|<br>33179S|<br>321150|<br>328196|<br>328457|<br>328582|
|MALES|||||||||
|**0-4**|10353|<br>10184|<br>10650|<br>10598|<br>10569|<br>10565|<br>10567|<br>10569|
|5-9|9693|10741|<br>10690|<br>40563|10543|<br>10551|<br>10556|<br>10558|
|10-14|9859|11029|<br>10591|<br>l511|<br>10527|<br>10545|<br>10550|<br>10551|
|15-19|10660|<br>10681|<br>10376|<br>10496|<br>10526|<br>10539|<br>10539|<br>10538|
|20-24|12086|<br>10059|10270|<br>10526|<br>10528|<br>10522|<br>10517|<br>10516|
|25-29|12301|10351|<br>10460|<br>10565|<br>10518|<br>10492|<br>10490|<br>10492|
|30-34|11350|<br>11242|<br>11025|<br>10587|<br>10471|<br>10454|<br>10463|<br>10469|
|35-39|9891|12598|<br>11349|<br>10461|<br>10396|<br>10416|<br>10436|<br>10442|
|40-44|7784|12613|<br>11025|<br>10208|<br>10347|<br>10381|<br>10397|<br>10398|
|45-49|6410|11412|<br>10302|<br>10033|<br>10310|<br>10318|<br>10315|<br>10312|
|50-54|5972|9672|10296|<br>10070|<br>10206|<br>10169|<br>10148|<br>10148|
|55-59|6030|7306|10674|<br>10305|<br>9944|9848|<br>9838|<br>9849|
|60-64|5701|5646|11170|<br>10058|<br>9338|9296|<br>9324|<br>9344|
|65-69|4704|4781|10087|<br>8922|<br>8347|8483|<br>8523|<br>8539|
|70-74|3576|4160|773|7151|<br>7Y69|<br>91|7311|<br>7314|
|75+|4496|5439|8543|11829||11619|<br>11629|<br>11637|
|TOTAL|130865|<br>148113|<br>165247|<br>162882|<br>161388|<br>16148|8<br>16160|4<br>161676|
|FEMALES|||||||||
|0-4|9875|9698|10149|<br>13115|<br>10089|<br>10083|<br>10084|<br>10085|
|5-9|9246|10245|<br>10194|<br>10089|<br>10075|<br>10079|<br>10083|<br>10084|
|10-14|9384|10535|<br>10105|<br>10042|<br>10068|<br>10081|<br>10084|<br>10084|
|15-19|10238|<br>10244|<br>9914|10036|<br>10078|<br>10087|<br>10085|<br>10083|
|20-24|11850|<br>9692|9841|10080|<br>10100|<br>o109|<br>10083|<br>10081|
|25-29|12196|<br>9986|10060|<br>10137|<br>10109|<br>10083|<br>10077|<br>10078|
|30-34|11387|<br>10921|<br>10635|<br>10180|<br>o1o0|10067|<br>10072|<br>10076|
|35-39|10078|<br>12434|<br>10981|<br>10086|<br>10028|<br>1ooss|<br>1007|0<br>10073|
|40-44|8043|12569|<br>10720|<br>9884|<br>10012|<br>10056|<br>10066|<br>10065|
|45-49|6699|11553|<br>¶0069|<br>9785|<br>10032|<br>10055|<br>10047|<br>10040|
|50-54|6354|10059|<br>10158|<br>9949|<br>10039|<br>10016|<br>9993|<br>9969|
|55-59|6639|7881|10834|<br>10410|<br>9987|9898|<br>9889|<br>9896|
|60-64|6529|6399|11971|<br>1055|0<br>9725|<br>9683|<br>9716|<br>9733|
|65-69|5703|5813|11568|<br>9925|<br>9203|<br>9344|<br>9397|<br>9409|
|70-74|4804|<br>5591|9781|8643|<br>8475|8720|<br>8757|<br>8755|
|75+|8168|9819|14129|<br>19002|<br>18664|<br>18311|<br>18350|<br>18376|
|TOTAL|137195|<br>153442|<br>171108|<br>16891|S<br>166762|<br>166708|<br>166854|<br>166905|
|BIRTH<br>RATE||14.4|12.8|12.4|2<br>16|12.7|12.7|12.7|
|DEATH<br>RATE||8.8|9.4|12.9<br>,|¶3.0|12.7|12.6|12.6|
|NET MIGRAT|ION<br>RATE|2.2|1.0|.0|.0|.0|.0|.0|
|GROUTH<br>RATE||.78|.44|-. 05|-. 04|.00|.00|.00|
|TOTAL<br>FERT|ILITY|1.873|1.962|2.064|2.063|2.063|2.063|2.063|
|**e(O)**<br>- BOTH|SEXES|76.36|77.69|78.43|78.93|79.06|79.16|79.18|
|**IMR**- BOTH S|EXES|9.4|7.7|7.1|6.6|6.5|6.3|6.3|
22

|ASIA|||**Poput**|**ation**<br>projecti|on (thousan|ds)|||||
|---|---|---|---|---|---|---|---|---|---|---|
|AGE**CR0UP**|<br>1985|1990|1995|2000|2005|2010|2015|2020|2025|2030|
|TOTAL.FF|<br>2822987|3099790|3385458|3664203|3933802|4189523|4434170|4673077|4901249|5110807|
|MALES|||||||||||
|0-4|174385|<br>192891|201248|202267|202423|201505|<br>202375|206289|208612|208541|
|5-9|166428|170835|189778|198673|200241|200512|199753|200788|204852|207338|
|10-14|170767|<br>165329|<br>169837|188861|197871|199477|199792|199090|200183|204299|
|15-19|162355|<br>169526|<br>164194|168755|187s07|196837|198499|<br>198874|198248|<br>199417|
|20 24|134751|<br>160619|167832|162591|167187|186213|<br>195285|197042|<br>197522|<br>197023|
|25-29|114007|132999|158740|165965|160815|165422|<br>18437|193574|<br>195455|<br>196069|
|30-34|104780|112431|131325|156923|164172|159092|<br>163722|182735|191945|<br>193957|
|35-39|84492|103l80|110791|129554|155000|162246|<br>157253|161914|<br>180926|<br>190217|
|40-44|70075|82814|101316|108852|127443|152657|159902|155026|159729|<br>178724|
|45-49|63631|68086|80666|9s863|106278|124581|149449|156684|151978|<br>156731|
|50-54|56955|60977|65391|77669|95373|102588|120447|144765|151965|<br>147512|
|55-59|46731|53396|57304|61584|73357|90290|97210|114372|137802|<br>144908|
|60-64|35666|42348|48550|52230|56268|67279|83056|89545|<br>105642|<br>1276P3|
|65-69|27310|<br>30654|<br>36580|42087|45404|49090|58979|73090|<br>78956|93485|
|70-74|17256|21520|24372|29239|33779|36598|39755|43062|59857|64845|
|75+|16237|19208|23660|27917|33531|39644|44827|49875|<br>58694|71985|
|TOTAL|145826|1586813|17315W3|1872030|2006949|2134031|2254742|2371725|2482365|2582739|
|FEMALES|||||||||||
|0-4|165008|184438|192515|193528|193727|192907|193811|197633|199930|<br>199926|
|5-9|157183|161331|181278|189960|191583|191913|191275|192370|196371|<br>198859|
|10-14|160061|156083|160361|180421|189249|190915|191294|<br>190721|191885|<br>195952|
|15-19|150879|15893|155040|159406|179538|188399|190127|190575|190088|191341|
|20-24|129630|<br>149347|157439|153688|158136|178277|187202|<br>189036|189599|<br>189251|
|25-29|108993|128153|147655|155804|152166|156657|176819|185835|187809|<br>188525|
|30-34|100005|107377|<br>126485|145961|154163|150601|155145|175333|184453|<br>186586|
|35-39|79242|98379|105747|124782|144214|152422|148954|153565|173785|<br>183026|
|40-44|65268|77699|96658|104001|122929|142254|150477|147131|151826|<br>172076|
|45-49|58845|63643|75946|94651|101945|120686|139865|148109|144926|<br>149725|
|50-54|52749|**56864**|61630|73730|92075|99277|117755|<br>136725|144996|<br>142037|
|55-59|43837|50230|54281|58977|70782|88607|95684|113789|132456|<br>140757|
|60-64|35486|40711|4682"|50748|55326|66689|83766|90667|<br>108226|<br>126439|
|65-69|28667|31555|36391|42042|45758|50125|60797|76740|83355|100036|
|70-74|19548|23!83|26247|30457|35403|38764|42758|52320|66499|72609|
|75.<br>|21559<br>|24680<br> <br>|29382<br>|34018<br>|39859<br>|46998<br>|53698|60801<br>|72679|<br>90922|
|TOTAL|1377160|<br>1512977|1653874|1792173|1926853|2055492|2179428|2301351|2418884|<br>2528W|
|BIRTH RATE||27.7|26.1|23.9|22.0|20.4|19.2|18.5|17.7|16.9|
|DEATH RATE||8.9|8.4|8.0|7.7|7.7|7.8|7.9|8.1|8.5|
|RATE OFHA<br>|T.INC.<br> <br>|1.88<br>|1.77|I<br>|1.43<br>|1.26<br>|1.14<br>|1.05<br>|**.95**<br>|.84<br>|
|NET HIGRA|ION<br>RATE|-. 1|**-.1**|**-.1**|-. 1|-. 0|-. 0|-. 0|.0|.0|
|GROWTH<br>RAT|E|1.87|1.76|1.58|1.42|1.26|1.14|1.05|.95|.84|
|TOTAL FERT|ILITY|3.466|3.184|2.924|2.755|2.606|2.469|2.385|2.318|2.265|
|KRR||1.477|1.370|1.276|1.231|1.181|1.125|1.092|1.068|1.051|
|**o(O)**- BOT|HSEXES|63.87|65.30|66.62|67.84|68.49|69.18|69.92|71.71|71.54|
|eClO)- BO|TH SEXES|59.69|60.30|60.83|61.34|61.80|62.30|62.82|63.38|63.96|
|_IMR_BOTH|SEXES|71.1|61.5|52.9|45.3|42.3|38.8|35.3|31.8|28.5|
|q(5)-**SCT**|**H**SEXES|.0939|.0799|.0676|.0567|0530|0485|0440|0395|0352|
|<br>OEP.RATIO|<br> <br>66.2|<br>61.6|<br>60.2|<br>59.0|<br>55.8|.<br>52.3|.<br>50.1|.<br>49.5|.<br>49.5|.<br> <br>50.2|
23 Populatfon projectian (thowands) ASIA ...........

# Suwury for 25 Year Period&

|............................<br>AGE GRaJP|.....<br>1985|.........<br>^.<br>2000|.................................................<br>2025|.................................................<br>2050|........<br>2075|2100|2125|2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL NF|2822967|3664203|4901249|5728310|6139758|6288284|6344356|<br>6366618|
|MALES|||||||||
|0-4|174385|202267|208612|205069|204610|<br>204793|204937|<br>204995|
|5-9|166428|196673|204852|203582|204167|204578|204735|204771|
|10-14|170767|188861|200183|20316|204197|204495|204584|204596|
|15-19|162355|145|196248|204706|204192|204220|204273|204313|
|20-24|134751|16259.|197522|205645|203571|203575|203746|203881|
|25-29|114007|165965|195455|204406|202767|202761|203220|<br>203426|
|30-34|104780|156923|191945|<br>200622|201017|202072|202756|202960|
|35-39|84492|129554|180926|194977|<br>199956|201579|202221|202393|
|40-44|70075|108852|<br>159729|191683|200573|200801|201263|201422|
|45-49|63631|96863|151978|188977|199879|196780|199314|<br>199621|
|50-54|56955|77669|151965|183443|195452|195075|<br>195757|<br>196393|
|55-59|46731|61584|137802|173670|185769|187733|189651|<br>190569|
|60-64|35666|52230|105642|153567|170529|<br>177018|179722|180677|
|65-69|27310|42087|78956|121807|<br>152290|162094|163921|<br>164798|
|70-74|17256|<br>29239|59857|97884|127994|138552|139727|<br>140702|
|75+|16237|27917|58691|133459|184267|209601|218644|222268|
|TOTAL|1445826|1872030|2482365|286664|3041232|3097726|3118470|<br>3127805|
|FEMALES|||||||||
|0-4|165008|193528|199930|<br>196858|<br>196331|196322|196382|<br>196385|
|5-9|157183|<br>189960|196371|<br>195617|<br>196192|196365|<br>196398|<br>196372|
|10-14|160061|180421|191885|195273|<br>196429|<br>196475|<br>196404|<br>196353|
|15-19|150879|<br>159406|<br>190088|<br>196928|196729|<br>196492|<br>196342|<br>196314|
|20-24|129830|153688|189599|198143|196604|<br>196306|<br>196218|<br>196272|
|25-29|108993|155804|187809|197262|196245|196000|196157|<br>196246|
|30-34|100005|<br>145961|<br>184453|<br>193816|<br>194902|195802|<br>19611S|<br>196220|
|35-39|79242|124782|173785|188555|194269|195860|<br>196147|<br>196128|
|40-44|65268|104001|151826|185696|195428|195839|<br>195937|<br>195866|
|45-49|58845|94651|144926|<br>183804|<br>195732|<br>195065|<br>195237|<br>195272|
|50-54|52749|73730|144996|179979|193230|193458|193897|194249|
|55-59|43837|58977|132456|173362|187052|189884|191775|<br>192427|
|60-64|35486|50748|10226|157987|177327|185329|188365|<br>189124|
|65-69|28667|42042|355|129777|166428|179003|181618|<br>182444|
|70-74|19548|30457|66499|111145|150248|<br>165314|167879|<br>16R09;|
|75+|21559|34018|72679|177464|265380|317042|340979|350046|
|TOTAL|1377160|1792173|2418884|2861666|3098525|3190557|3225887|<br>3238813|
|BIRTH RATE||25.8|19.4|15.4|13.6|13.0|12.8|12.7|
|DEATH<br>RATE||8.4|7.9|9.2|10.8|12.1|12.4|12.6|
|**NET**MIGRATI|ON RATE|-. 1|-. 0|.0|.0|.0|.0|.0|
|GROWTH<br>RAT|E|1.74|1.16|.62|.28|.10|.04|.01|
|TOTALFERTI|LITY|3.170|2.496|2.171|2.072|2.064|2.060|2.059|
|**eCO)**- BOT|H<br>SEXES|65.34|69.31|73.43|76.80|77.93|78.75|78.95|
|<br>**110**- BOTH S|EXES|61.8|38.7|21.7|10.4|8.2|6.8|6.6|
24

# EAST AND SOUTHEAST ASIA

Poputation projection (thousands)

|AGE GROUP|1985|1990|1995|2000|2005|2010|2015|2020|2025|2030|
|---|---|---|---|---|---|---|---|---|---|---|
|.......<br>..........<br>TOTAL HNF|..<br>............<br>1650096|<br>.<br>.<br> <br>1781418|.<br>.<br>.<br>.<br>.<br>.<br>1914497|.<br>.<br>.<br>.<br>.<br><br>2037847|.<br>.<br>.<br>.<br>.<br>.<br>.<br>21470%|.<br>.<br>.<br>.<br>.<br>.<br>2244253|.<br>.<br>.<br>.<br>.<br>.<br>2335259|.<br>.<br>.<br>.<br>.<br><br>2422678|.<br>.<br>.<br>.<br>.<br>.<br>2SU3060|.<br>.<br>.<br>.<br>.<br>.<br> <br>25.0460|
|MALES|||||||||||
|0-4|82504|94207|97780|95558|<br>91295|88854|89668|91947|<br>93102|92416|
|5-9|85911|81541|93407|97161|95105|90894|88494|89337|91i43|92828|
|10-14|98724|85509|81215|93108|96908|94876|90692|88313|89171|91490|
|15-19|97554|98179|85076|80845|0P2753|<br>96565|94564|90415|88064|88943|
|20-24|79834|96751|97438|84467|80314|92203|96036|94086|89995|<br>87692|
|25-29|68501|79033|95894|96642|<br>83820|79719|91590|95452|93565|89545|
|30-34|66753|67764|78276|95086|95908|83197|79147|91002|94895|<br>93073|
|35-39|52602|65956|67002|77490|94252|95109|82519|78527|90362|94289|
|40-44|42392|51781|65016|66102|76555|93192|<br>94090|81660|77742|<br>89542|
|45-49|39172|41421|50697|63749|64878|75207|91644|92594|80399|76589|
|50-54|35715|37810|40064|49147|61899|63030|73153|89256|90272|<br>78439|
|55-59|29713|33794|35857|38088|46840|59061|60190|69968|85515|<br>86608|
|60-64|23123|272-8|<br>31078|33065|35224|43415|54826|55944|<br>65170|79631|
|65-69|16806|20163|23872|27341|29184|31172|**38536**|<br>48764|49849|58235|
|70-74|11627|13536|16339|<br>19461|<br>22386|23967|25691|3180|40454|<br>41461|
|75+|10090|12980|1s800|<br>19270|23334|27552|30899|33959|40193|49794|
|TOTAL|841019|907663|974811|1036580|1090654|1138015|1181738|1223103|1260391|<br>1290775|
|FEMALES|||||||||||
|0-4|78128|90696|94007|91761|87577|85242|86029|88220|<br>89333|**88680**|
|5-9|80287|77373|<br>90093|93562|91451|<br>87311|<br>85011|<br>85826|88044|89186|
|10-14|92354|79979|77131|<br>89881|93395|91305|87187|84906|85736|<br>87969|
|15-19|92149|91933|79658|76867|89645|93177|91116|87029|84773|<br>85625|
|20-24|79033|91509|91375|79224|76507|89286|92849|90836|86801|84590|
|25-29|65742|78312|90793|90759|78752|76081|88861|92464|90515|86545|
|30-34|63618|65046|77597|90095|<br>90166|78263|75641|88420|92068|90188|
|35-39|48860|<br>62864|64338|<br>76873|<br>89385|<br>89514|<br>77732|<br>75166|87942|<br>91640|
|40-44|39062|48154|62033|63561|76069|88532|88730|77097|74603|87370|
|45-49|36176|38300|47302|<br>61016|62604|75009|87395|87682|76251|73852|
|50-54|33585|35173|37316|46186|59671|61286|73538|85809|86216|<br>75067|
|55-59|28489|32232|33839|35999|44683|57798|59449|71477|83576|84143|
|60-64|23853|26756|30375|31995|34173|42538|55119|56819|68513|80347|
|65-69|18559|21556|24304|27717|29343|31474|39339|51104|<br>52855|<br>64001|
|70-74|13927|15678|18339|20816|23902|25444|27458|34519|45006|46778|
|75.|15257|18193|21185|24958|29119|33977|38069|42202|<br>50439|<br>63704|
|TOTAL|809076|873755|939685|1001267|1056442|1106238|1153522|1199575|<br>1242669|<br>1279684|
|BIRTH RATE||22.6|21.5|19.5|17.5|16.2|15.7|15.4|15.1|14.5|
|DEATHRATE||7.1|7.0|6.9|7.0|7.3|7.7|8.1|8.5|9.2|
|RATE OFNA|T. INC.|1.54|1.45|1.26|1.05|.89|.80|.74|.65|.53|
|NETMIGRAT|ION<br>2ATE|--|A|-.1|-.1|-.1|-.0|-.0|-.0|.0|
|GROUTH<br>RAT|E|1.53|1.44|1.25|1.04|.89|.80|.74|.65|.53|
|TOTALFERT|ILITY|2.662|2.474|2.307|2.205|2.150|2.117|2.104|2.098|2.094|
|NRR||1.221|1.138|1.070|1.035|1.015|1.002|.998|.999|1.000|
|e(0)- BOT<br>|H SEXES<br>|68.38|69.65|70.80|71.84|72.33|72.83|73.36|73.90|74.47|
|e(1O)*BO|TH SEXES|61.83|62.44|63.05|63.67|64.06|64.47|64.89|65.33|65.79|
|IMR- BOT|H SEXES|39.6|32.0|26.0|21.2|20.0|18.7|17.4|16.0|14.7|
|q(S)-BOT|H SEXES|0508|0399|0315|0251|0236|0220|0204|0187|0171|
|<br>DEP. RATIO|<br> <br>57.8|.<br>52.3|.<br> <br>51.|.<br>8<br>52.4|.<br> <br>49.7|.<br>46.5|.<br>45.2|.<br>46.7|.<br>48.4|.<br> <br>50.9|
25 .............................

# EAST AP SOUTHEAST ASIA

# Poputation projection (thourds)

# Sumry for 25 Year Periods

|.........................................<br>AGE**GIICP**|....<br>1965|2000|....<br>&025|.......................................<br> <br>2050|....................................<br>2075|2100|2125|2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL<br>NF|165009|6<br>2037847|<br>2503060|2718791|2793141|2821530|2834915|<br>2840027|
|MALES|||||||||
|0-4|82504|95558|<br>93102|91389|91112|91197|91267|<br>91292|
|5-9|85911|97161|91643|90603|90849|<br>91103|91192|<br>91202|
|10-14|98724|<br>93108|89171|<br>90132|90873|<br>91111|91148|<br>91133|
|15-19|97554|8084s|<br>88064|90582|91067|<br>91058|91026|<br>91009|
|20-24|79834|84467|<br>89995|91606|91027|<br>9080l|90790|<br>90813|
|25-29|68501|96642|93!SS|<br>91893|90579|90391|90530|<br>90612|
|30-34|66753|95086|<br>94895|<br>90307|<br>89679|90018|90326|<br>90428|
|35-39|52602|77490|90362|87517|<br>ss894|89834|90139|<br>90193|
|40-44|42392|66102|M42|85953|<br>89086|89711|<br>89791|<br>897&2|
|45-49|39172|63749|80399|<br>87067|89451|<br>89077|88967|<br>88985|
|50-54|35715|49147|90272|<br>88971|88395|87396|<br>87359|<br>87533|
|55-59|29713|3806w|85515|87253|<br>84306|<br>84094|<br>84612|<br>849S9|
|60-64|23123|33065|<br>65170|78306|77418|79233|80270|<br>80623|
|65-69|16806|<br>27341|49849|60959|69374|72584|<br>73467|<br>73638|
|70-74|'1627|19461|<br>46454|53628|60232|62701|62896|<br>62945|
|75+|10090|<br>19270|<br>40193|8s577|<br>94996|97352|98910|<br>99720|
|TOTAL|841019|<br>1036580|<br>1260391|1351343|<br>1377429|<br>1387661|<br>1392689|<br>1394867|
|FEMALES|||||||||
|0-4|78128|91761|<br>893o3|87716|87402|87418|87464|<br>87477|
|5-9|80287|93562|88044|87062|87260|87429|87478|<br>87476|
|10-14|92354|89881|85736|<br>86675|87364|<br>87512|<br>87498|87471|
|15-19|92149|76867|8477|87215|<br>87672|<br>87577|87481|<br>87451|
|20-24|79033|79224|86801|88381|<br>87826|<br>87511|87417|<br>87424|
|25-29|65742|90759|90515|88853|87585|87315|<br>87357|<br>87409|
|30-34|63618|90095|92068|87490|86899|87150|87348|<br>87407|
|35-39|48860|76873|87942|84967|<br>86434|87197|87388|<br>87386|
|40-44|39062|63561|74603|83692|86827|87396|87362|87285|
|45-49|36176|61016|<br>76251|85193|87682|87305|<br>87085|<br>87021|
|50-54|33585|46186|86216|87965|87554|86583|86460|<br>86547|
|55-59|28489|35999|83576|87967|85156|85013|85486|<br>85753|
|60-64|23853|31995|68513|81625|80906|82972|84061|<br>84358|
|65-69|18559|<br>27717|52855|65651|76399|80284|81356|<br>81498|
|70-74|13927|<br>20816|45006|60836|71525|75108|75585|<br>75648|
|75+|15257|<br>24958|<br>50439|116159|<br>14122|2<br>150399|<br>155399|<br>157549|
|TOTAL|809076|1001267|1242669|1367448|141571|2 143386|91442226|<br>1445160|
|BIRTHRATE||21.1|15.9|13.L|13.0|12.8|12.7|12.7|
|DEATH<br>RATE||7.0|7.8|10.5|12.0|12.4|12.5|12.6|
|NETMIGRAT|ION<br>RATE|-. 1|-. 0|.0|.0|.0|.0|.0|
|GROWTH<br>RAT|E|1.41|.82|.33|.11|.04|.02|.01|
|TOTAL<br>FERTI|LITY|2.465|2.134|2.082|2.063|2.060|2.059|2.059|
|eCO) - BOTH|SEXES|69.67|72.89|75.72|77.89|78.53|78.97|79.07|
|<br>IMR- BOTHS|EXES|32.5|18.6|12.1|7.8|7.0|6.5|6.4|
26

**SOUTH** ASIA

Population projection (thowmands)

|...................<br>AGE**GROL**|...........<br>**P**<br>1985|..........................<br>l990|1995|,. ....<br>2000|<br>.......<br>_..<br>2005|.....................................<br>2010|..........<br>2015|<br>2020|..<br> <br>2025|....................<br> <br>2030|
|---|---|---|---|---|---|---|---|---|---|---|
|TOTAL<br>N.F|1058212|<br>1186390|<br>1319460|<br>1454021|<br>1592466|<br>172838|<br>1858233|<br>1985106|<br>2108300|<br>2226760|
|MALES|||||||||||
|0-4||W2I60<br>8116|<br>91597|93992|<br>97632|9842|97597|<br>98475|<br>99262|<br>99867|
|5-9|7710|80448|<br>85963|<br>89M|92537|96242|<br>97169|<br>96457|<br>97454|<br>98364|
|10-14|65027|<br>72065|<br>79824|<br>85391|<br>89276|<br>92048|<br>95771|<br>96733|<br>960;3|<br>97097|
|1S-19|58621|<br>64377|71409|<br>79159|<br>84743|863|91439|<br>95187|<br> <br>9619|<br>5<br>95580|
|20-24|49459|57720|63472|<br>70471|78183|83776|<br>87703|<br>90<sup>5</sup>4 4|94338|95424|
|25-29|40767|48529|56740|62456|<br>69604|77089|<br>82699|<br> <br>8666|8956|9<br>93424|
|30-34|34105|39946|47652|55782|<br>61455|68375|<br>6037|8166|<br>8568|<br>8865|
|<br>35-39|<br>28715|<br> <br>33326|<br> <br>39111|<br>4723|<br> <br>54755|<br> <br>60401|<br> <br> <br>7290|<br> <br>74931|<br> <br> <br>8058|<br><br>9<br>84656|
|40-44|25150|27897|32455|38137|45622|53556|59166|66018|7363|1<br>79319|
|45-49|22258|24192|<br>26905|31353|3688!|<br>44218|52014|57572|<br>64365|71930|
|50-54|19236|21054|22948|<br>25568|2sez|35188|42305|49897|55369|62062|
|55-59|15405|1m4|19463|21256|23775|<br>27785|32873|<br>39664|46946|<br>52268|
|_60.6._|11409|13651|<br>15770|17359|<br>1P,197|<br>21303|25061|29m|36092|42909|
|65-6.|9m|9519|<br>11452|13273|<br>14651|<br>16130|18198|21534|25727|31372|
|70-74.|5022|7411|7265|<br>8779|10213|<br>11367|<br>12617|<br>14351|<br>17116|20604|
|75.|5546|5544|7158|7795|9109|10758|12408|14163|<br>1*345|19491|
|TOTAL|5460|611518|679183|747277|817025|<br>885321|950347|<br>101363|9<br>1074744|<br>1133018|
|FE4ALES|||||||||||
|0-4|78010|<br>s3573|<br>87103|89567|93222|94055|93308|94210|95t6|<br>95664|
|5-9|69349|75327|81158|85116|88031|<br>91m|92750|92161|93210|94178|
|10-14|60939|68605|74642|80552|84605|87545|91313|92336|91798|92896|
|15-19|52891|60>50|67927|73992|<br>79944|84018|<br>86990|90795|91875|91403|
|20-24|45673|52058|<br>59400|67062|<br>73133|<br>79101|<br>83212|86239|<br>90106|<br>91276|
|25-29|39072|<br>"780|51143|58441|66070|72144|<br>78138|82301|85403|89351|
|30-34|32893|38208|43887|50205|57452|65057|71138|77165|81389|<br>84577|
|35-39|27528|32076|37343|<br>42970|49230|56431|64012|70106|76172|<br>80468|
|40-44|23841|26745|31242|36435|41989|48196|<br>55348|62904|69013|75123|
|45-49|20543|23034|25906|30321|35410|40892|47034|54125|_61644_|<br>67766|
|50-54|17314|<br>19634|22077|24886|29179|34158|39547|<br>45601|52607|60071|
|55-59|13770|16233|18477|<br>20838|23548|27704|<br>32536|37796|43729|_506.7_|
|60-64|10521|12487|<br>.14801|16917|19146|21748|25712|30339|35415|41173|
|65-69|9293|9011|<br>10778|12854|14763|<br>16837|19272|<br>22950|27272|<br>32063|
|70-74|4940|7237|<br>7093|8554|10273|<br>11931|13761|15930|19173|<br>23022|
|75.|5491|<br>5615|7299|<br>8036|9447|11475|<br>13814|<br>16510|<br>19724|<br>24093|
|TOTAL|512148|574872|640276|706743|77544|843065|907885|971467|1033556|<br>1093741|
|BIRTH RATE||34.6|31.8|29.0|27.1|24.9|22.7|21.3|20.0|18.9|
|DEATH RATE||11.6|-. 4|9.5|8.8|8.5|8.2|8.0|8.0|8.0|
|RATE OF MA|T.INC.|2.30|2.14|1.95|1.82|1.64|1.45|.32|1.21|1.09|
|**NET**MIGRA|TION<br>RATE|-. 1|**-. 1**|-. 1|-. 1|-. 0|-. 0|**- 0 **|.0|.0|
|GROWTH<br>RAT|E|2.29|2.13|1.94|1.82|1.64|1.45|1.3;|1.20|1.09|
|TOTALFERT|ILITY|4.699|4.211|3.726|3.381|3.056|2.767|2.550|2.470|2.376|
|NRR||1.841|1.699|1.545|1.433|1.310|1.207|1.144|i.104|1.073|
|e(O)- BOTH|SEXES|57.03|58.91|60.67|62.33|63.40|64.51|65.66|66.86|68.10|
|**e(10)**- BOT|H SEXES|56.38|57.13|57.66|58.11|58.80|59.50|60.24|61.01|61.81|
|**IHR* **BOTH|SEXES|102.4|90.8|7d.8|67.0|61.8|56.7|51.5|46.2|40.9|
|q(S)-BOT|HSEXES|.;368|.1200|.1025|0852|0786|0721|0654|0584|0516|
|<br>DEP.RATIO|<br> <br>79.6|<br>76.0|<br>71.8|<br>67.1|.<br>62.7|.<br>58.6|.<br>54.8|.<br>51.6|.<br>49.5|.<br> <br>48.6|
27

# SO'JTH ASIA

# Population projection (thouawds)

Summary for 25 **.aSar** Periods

|.......<br>I.<br>AGE**GROUP**|................................<br>1965|......<br>2000|2025|2050|2075|...............................<br>2100|.<br>2125|_<br> <br>2150|
|---|---|---|---|---|---|---|---|---|
|<br>......<br>.........|<br>.<br>.<br>.|<br>.<br>.<br>.<br>.<br>.<br>.|<br>.<br>.<br>.<br>.<br>..<br>.|<br>.<br>.<br>.<br>.<br>.<br>.|<br>.<br>.<br>.<br>.<br>.<br>.|<br><br>.<br>..<br>.<br>.<br>.|<br>.<br>.<br>.<br>.<br>.<br>.|<br><br>.<br>.<br>.<br>.<br>.|
|TOTAL<br>M.F|1058212|<br>1454021|<br>2108300|<br>2613592|<br>2<br>O88<br>6|<br>2976635|<br>3013602|<br>3028917|
|MALES|||||||||
|Is|82860|93WY2|<br>99262|978w|97472|<br>97564|<br>97632|<br>97660|
|59|n72710|<br>89783|<br>97454|97025|<br>**97333**|<br>97469|<br>97523|<br>97543|
|10-14|65027|<br>85391|<br>96063|<br>97139|<br>97362|<br>97393|<br>97428|<br>97451|
|**lF-11**|s58621|79159|<br>96195|<br>98192|<br>97202|<br>97191|<br>97259|<br>97313|
|20-24|49459|<br>70471|<br>94338|<br>98010|<br>96635|<br>96839|<br>97005|<br>97110|
|25-29|40767|<br>62456|<br>89569|<br>96594|<br>96277|<br>96487|<br>96782|<br>m6894|
|30-34|34105|<br>55782|<br>85682|<br>94879|<br>95585|<br>96232|<br>96567|<br>96669|
|35-39|28715|<br>46723|<br>80589|<br>92885|<br>95346|<br>95987|<br>96268|<br>96363|
|40-44|25150|38137|<br>73631|<br>92181|<br>95877|<br>95431|<br>95732|<br>95875|
|45-49|22258|31353|<br>64365|89262|<br>94848|<br>94167|<br>94746|<br>**95008**|
|50-54|19236|<br>25568|<br>55369|82878|<br>91833|<br>92373|<br>9306|93487|
|55-59|15405|<br>21256|<br>46946|76101|<br>87164|<br>8e930|<br>90191|<br>90700|
|60-64|11409|<br>17359|36092|66758|<br>80352|<br>83955|<br>85403|<br>85925|
|,s-69|97Ts|<br>13273|<br>25727|<br>54425|<br>72134|<br>76897|<br>77671|<br>78271|
|<br>70-74|5022|8779|17116|<br>39583|<br>59177|<br>65053|<br>65911|<br>66742|
|75+|5546|<br>7795|<br>16345|<br>42854|<br>78236|<br>96328|<br>10262|8<br>105150|
|TOTAL|546064|<br>747277|1074744|<br>1316356|<br>1432832|<br>1468296|<br>1481s80|<br>1488162|
|FEMALES|||||||||
|0-4|78090|<br>89567|<br>95026|<br>93720|<br>93582|<br>93571|<br>93586|<br>93576|
|5-9|69349|85116|<br>93210|93241|<br>93602|<br>93609|<br>93588|<br>93565|
|10-14|60939|80552|<br>91798|<br>93345|<br>93739|<br>93633|<br>93574|<br>93552|
|15-19|52891|73992|<br>91875|<br>94386|<br>93744|<br>93582|<br>93531|<br>93534|
|20-24|45673|67062|<br>90106|<br>94311|<br>93441|<br>93462|<br>93476|<br>93522|
|25-29|39072|58441|<br>85403|<br>93033|<br>93282|<br>93363|<br>93480|<br>93515|
|30-34|32893|50205|<br>81389|<br>91393|<br>92743|<br>93351|<br>93491|<br>93496|
|35-39|275T8|<br>42970|<br>76172|<br>89468|<br>92656|<br>93380|<br>93454|<br>93432|
|40-44|23841|<br>36435|<br>69013|<br>88849|<br>93384|<br>93199|<br>93284|<br>93287|
|45-49|20543|<br>30321|<br>61644|<br>86274|<br>92780|<br>92540|<br>92901|<br>92999|
|50-54|17314|<br>24886|<br>52607|<br>80587|<br>90604|<br>91713|<br>92279|<br>92531|
|55-59|13770|<br>20838|<br>43729|<br>75027|<br>87469|<br>90000|<br>91301|<br>91652|
|60-64|10521|<br>16917|<br>35415|<br>67531|<br>93118|<br>87872|89603|<br>90008|
|65-69|9293|12854|<br>27272|57049|<br>78205|<br>84775|<br>86121|<br>86706|
|70-74|4940|8554|19173|<br>44878|<br>68598|<br>77300|<br>79190|<br>80237|
|75+|5491|8036|19724|<br>54146|<br>108305|<br>142991|<br>158934|<br>165143|
|TOTAL|512148|<br>706743|<br>1033556|<br>1297236|<br>1449254|<br>1508339|<br>1531794|<br>1540755|
|BIRTH RATE||31.6|22.9|16.8|14.0|13.2|12.8|12.7|
|DEATH<br>RATE||10.4|8.3|8.3|10.1|11.9|12.4|12.5|
|NET MIGRA|TION<br>RATE|-. 1|-. 0|.0|.0|.0|.0|.0|
|GROWTH<br>RAT|E|2.12|1.49|.06|.39|.13|.05|.02|
|TOTAL FERT|ILITY|4.169|2.817|2.228|2.081|2.068|2.060|2.060|
|**e(O)-** BOT|H<br>SEXES|59.00|64.72|70.89|75.71|77.36|78.54|78.84|
|<br>**IMR-** BOTHS|EXES|90.5|56.7|30.4|12.7|9.3|7.1|6.7|
28

|_SJAJTHIJEST_<br>ASIA||Popul|aticn project|ion (thaoands|)|||||
|---|---|---|---|---|---|---|---|---|---|
|AGE GROLP<br>1985|<br>1990|<br>1995|<br>2000|<br>2005|2010|2015|<br>2020|<br>2025|<br>2030|
|..........................................................|.....................................|................................||||||||
|TOTALN.F<br>114679|<br>131982|<br>151501|<br>17235|194240|216884|<br>240678|<br>265292|<br>289889|<br>313588|
|KALES||||||||||
|0-4<br>9021|10568|<br>11871|<br>12717|<br>13496|14208|15110|<br>15866|<br>16248|<br>16258|
|5-9<br>7808|8845|10407|<br>11729|<br>12599|13375|14090|<br>14994|<br>15755|<br>16146|
|10-14<br>7016|7756|8798|10362|<br>11686|12554|13330|<br>14045|<br>14949|<br>15712|
|15-19<br>6181|6971|7709|8751|<br>10312|11630|12496|<br>13273|<br>13988|<br>14894|
|20-24<br>5458|6148|6922|7653|<br>8689|10235|11547|<br>12412|<br>13190|<br>13907|
|25-29<br>4739|5437|6106|6867|<br>7591|8614|10149|<br>11455|<br>12321|<br>13100|
|30-34<br>3922|4721|5397|6055|<br>680|7521|8538|10065|<br>11367|<br>12233|
|35-3?<br>3175|3898|464|<br>5341|<br> <br> <br>5993|<br>6736|<br>7444|<br>8457|<br> <br> <br>9974|<br><br> <br>11272|
|40-44<br>2533|3136|3844|4613|<br>5266|5909|6645|7348|<br>8356|<br>9863|
|45-49<br>2201|2474|3064|3762|<br>4518|5156|5790|6517|<br>7214|<br>8212|
|50-54<br>2005|2113|2379|2954|<br>3635|4371|4989|5611|<br>6325|<br>7011|
|55-59<br>1614|1878|1984|2241|<br>2792|3444|4147|4740|<br>5341|<br>6032|
|60-64<br>1135|1459|1703|1806|<br>2048|2561|3169|3826|<br>4379|<br>4948|
|65-69<br>729|972|1255|1473|<br>1570|1787|2246|<br>2791|<br>3380|<br>3878|
|70-74<br>607|573|769|999|1179|1264|1447|<br> <br>1830|<br> <br> <br>2287|<br><br> <br>2780|
|75.<br>601|684|703|852|1088|1334|1520|<br>1753|<br>2156|<br>2700|
|TOTAL<br>58743|67632|77589|<br>88173|<br>99270|ilO695|122657|<br>134983|<br>147230|<br>158946|
|FEMALES||||||||||
|0-4<br>8790|10169|11404|<br>12199|<br>12928|13610|14475|<br>15203|<br>15571|<br>15582|
|,-9<br>7547|8630|10027|<br>11283|<br>12101|12829|13514|<br>14383|<br>15117|<br>15495|
|10-14<br>6768|7499|8588|9989|<br>11249|12065|12794|<br>13480|<br>14351|<br>15087|
|15-19<br>5839|6720|7455|8547|<br>9949|11205|12022|12751|<br>13440|<br>14313|
|20-24<br>5125|5780|6663|7402|<br>8496|9890|11142|11961|<br>12693|<br>13386|
|25-20<br>4179|5061|5719|6604|7344|8432|9820|11070|<br>11891|<br>12628|
|30-34<br>3494|4123|5001|5661|<br>6545|7280|<br>8365|9748|<br>10996|<br>11821|
|35-39<br>2854|3440|4067|4940|5599|6477|7210|8293|<br>9670|<br>10918|
|40-4<br>2366|2800|3382|4C06|<br>4871|5526|6399|7130|<br>8210|<br>9583|
|45-49<br>2127|2309|2738|3314|<br>3931|4785|5435|6302|<br>7031|<br>8107|
|50-54<br>1851|2057|2237|2659|3225|3833|4671|5315|<br>6174|<br>6899|
|55-59<br>1578|1764|1965|2141|2552|3105|3699|4516|<br>5151|<br>5998|
|60-64<br>1112|1468|-1644|1836|<br>2007|2403|2936|3509|<br>4298|<br>4919|
|65-69<br>815|988|1309|1472|<br>1651|1815|2186|2687|<br>3229|<br>3972|
|70-74<br>682|669|815|1087|<br>1228|1389|1539|1871|<br>2320|<br>2809|
|75*<br>811<br> <br>|872<br>|897|1024|<br>1293|1547|1815|2090|<br>2516|<br>3124|
|TOTAL<br>55936|64350|73913|<br>84162|<br>94969|106189|<br>118021|130309|<br>142659|<br>154642|
|BIRTH RATE|36.6|35.3|32.7|30.3|28.3|27.0|25.6|23.8|21.8|
|DEATH RATE|8.8|7.8|7.0|6.4|6.3|6.2|6.1|6.0|6.1|
|RATE OF NAT. INC.|2.79|2.75|2.57|2.39|2.21|2.08|1.95|1.77|1.57|
|NET MIGRATION<br>RATE|.2|.1|.1|.1|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|2.81|2.76|2.58|2.39|2.21|2.08|1.95|1.77|1.57|
|TOTAL FERTILITY|5.107|4.762|4.364|4.002<br>|3.670|3.413|3.178|2.944|2.717|
|NRR|2.168|2.066|1.930|1.815<br>|1.680|1.561|1.461|1.362|1.265|
|eC0) * BOTH SEXES|6342|6504|6652|6787<br>|856|6927|7002|||
||.|.|.|.<br>|.|.|.|70.80|71.62|
|e10)<br>- BOTH SEXES|59.98|60.45|60.97|61.52<br>6|1.98|62.46|62.97|63.50|64.06|
|IMR- BOTHSEXES<br> <br>|73.1<br>|62.2<br>|52.1<br>|43.3|40.4|37.4|34.5|31.4|28.3|
|q(S)<br>BOTH SEXES|.0952|.0793|.0653|.0536<br>|.0501|.0465|.0428|.0390|.0350|
|<br>DEP. RATIO<br>80.6|78.9|79.0|77.4|<br>73.2|68.0|<br>64.2|<br>61.5|<br> <br>59.3|<br>56.8|
29

# SOUTHWEST ASIA Population projection (thousands)

# Sumiary for 25 Year Periods

|AGE**GROJP**|1985|<br>2000|2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL M+F|114679|<br>172335|<br>289889|<br>395927|<br>464531|<br>490119|<br>495840|<br>497673|
|MALES|||||||||
|0-4|9021|<br>12717|<br>16248|<br>16091|<br>16027|<br>16031|<br>16038|<br>16043|
|5-9|7808|<br>11729|<br>15755|<br>15953|<br>15985|<br>16006|<br>16020|<br>16025|
|10-14|7016|<br>10362|<br>14949|<br>15876|<br>15963|<br>15991|<br>16008|<br>16012|
|15-19|6181|<br>8751|13988|<br>15932|<br>15923|<br>15971|<br>15988|<br>15991|
|20-24|5458|<br>7653|13190|<br>16029|<br>15910|<br>15935|<br>15951|<br>15958|
|25-29|4739|<br>6867|12321|<br>15919|<br>15911|<br>15883|<br>15908|<br>15920|
|30-34|3922|<br>6055|11367|<br>15436|<br>15752|<br>15821|<br>15863|<br>15883|
|35-39|3175|<br>5341|9974|14575|<br>15626|<br>15758|<br>15813|<br>15837|
|40-44|2533|<br>4613|8356|13549|<br>15610|<br>15659|<br>15740|<br>15765|
|45-49|2201|<br>3762|7214|<br>12648|<br>15580|<br>15536|<br>15601|<br>15628|
|50-54|2005|<br>2954|6325|11594|<br>15224|<br>15307|<br>15334|<br>15374|
|55-59|1614|<br>2241|5341|<br>10316|<br>14299|<br>14710|<br>1484|9<br>14910|
|60-64|1135|<br>1806|<br>4379|8503|<br>12759|<br>13831|<br>14049|<br>14129|
|65-69|729|1473|<br>3380|<br>6422|<br>10781|<br>12613|<br>12783|<br>12889|
|70-74|607|999|2287|<br>4673|<br>8586|10797|<br>10921|<br>11014|
|75+|601|852|2156|<br>5427|<br>11035|<br>15921|<br>17106|<br>17398|
|TOTAL|58743|<br>88173|<br>;47230|<br>198945|<br>230972|<br>241769|<br>243972|<br>244775|
|FEMALES|||||||||
|0-4|8790|<br>12199|<br>15571|<br>15422|<br>15346|<br>15332|<br>15332|<br>15332|
|5-9|7547|<br>11283|<br>15117|<br>15313|<br>15330|<br>15328|<br>15331|<br>15331|
|10-14|6768|<br>9989|14351|<br>15253|<br>15325|<br>15330|<br>15332|<br>15331|
|15-19|5839|<br>8547|13440|<br>15328|<br>15312|<br>15334|<br>15331|<br>15329|
|20-24|5125|<br>7402|12693|<br>15451|<br>15337|<br>15333|<br>15326|<br>15326|
|25-29|4179|<br>6604|11891|<br>15377|<br>15378|<br>15322|<br>15320|<br>15322|
|30-34|3494|<br>5661|10996|<br>14933|<br>15261|<br>15301|<br>15312|<br>15317|
|35-39|2854|<br>4940|9670|14120|<br>15179|<br>15283|<br>15305|<br>15310|
|40-44|2366|<br>4006|8210|13155|<br>15216|<br>15245|<br>i5291|<br>15294|
|45-49|2127|<br>3314|7031|<br>12337|<br>15270|<br>15220|<br>15251|<br>15252|
|50-54|1851|<br>2659|6174|11427|<br>15072|<br>15163|<br>15159|<br>15171|
|55-59|1578|<br>2141|5151|<br>10368|<br>14427|<br>14871|<br>14988|<br>15022|
|60-64|1112|<br>1836|<br>4298|8831|<br>13303|<br>14485|<br>14700|<br>14758|
|65-69|815|1472|<br>3229|7077|<br>11824|<br>13944|<br>14142|<br>14239|
|70-74|682|1087|<br>2320|<br>5431|<br>10125|<br>12906|<br>13104|<br>13211|
|75+|811|1024|<br>2516|<br>7160|<br>15853|<br>23951|<br>26646|<br>27354|
|TOTAL|55936|<br>84162|<br>142659|<br>196982|<br>233559|<br>248349|<br>251867|<br>252898|
|BIRTH RATE||34.7|26.7|18.7|14.6|13.2|12.8|12.7|
|DEATH<br>RATE||7.8|6.2|6.4|8.3|11.1|12.3|12.6|
|NET MIGRA|TION<br>RATE|.1|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RAT|E|2.72|2.08|1.25|.64|.21|.05|.01|
|TOTAL FERT|ILITY|4.705|3.379|2.373|2.076|2.066|2.062|2.062|
|**e(O)**<br>**-** BOT|H SEXES|65.13|69.46|73.56|76.85|77.95|78.75|78.95|
|**IIR**<br>**-** BOTH|SEXES|61.9|37.1|21.5|10.2|8.1|6.8|6.6|
30

**EUROPE AND** U.S.S.R. Population projection **(thousands)**

|**AGE**GROUP<br>1985|1990|1995|2000|2005|2010|<br>2015|2020|2'J25|<br>2030|
|---|---|---|---|---|---|---|---|---|---|
|TOTAL N'F<br>M77024|<br>787184|800880|812998|<br>823232|831404|83847|843741|847874|849785|
|KALES||||||||||
|0-4<br>29134|29171|27806|26930|27107|27371|27493|27358|27175|27186|
|5-9<br>29001|29029|29077|27731|26869|27049|27314|27440|27308|27130|
|10-14<br>29453|28935|28968|29023|27687|26827|27009|27277|27405|27277|
|15-19<br>30281|29333|28827|28870|28936|27609|26757|26943|27215|2734|
|20-24<br>32291|30061|29140|28650|28711|28784|27476|26637|26832|27112|
|25-29<br>31546|31977|29818|28922|28453|28523|28608|27324|26502|26708|
|30-34<br>29119|31205|31690|29592|28722|28261|28341|28438|27178|26375|
|35-39<br>25498|28750|30863|31396|29359|28501|28049|28141|28253|27019|
|40-44<br>21593|25095|28334|30464|31046|29058|28217|27778|27884|28012|
|45-49<br>24572|21103|24580|27784|29922|30531|28611|27795|27374|27498|
|50-54<br>21333|23655|20431|23846|26985|29090|29732|27906|27128|26735|
|55-59<br>20563|20138|22393|19452|<br>22753|25755|27803|28478|26785|26063|
|60-64<br>15160|18775|18499|20628|18036|21123|23924|25874|26577|25064|
|65-69<br>9724|13243|16418|16285|18213|16023|18798|21308|23103|23816|
|70-74<br>10158|7859|10786|13382|<br>13372|14974|<br>13275|15610|17716|19271|
|75.<br>12045|12862|11780|13491|16257|17670|19591|<br>19430|21177|23684|
|TOTAL<br>371470|381190|389408|396446|402426|407150|410998|413737|415612|416299|
|FEMALES||||||||||
|0-4<br>28085|27829|26503|25651|25808|26071|26198|26076|25908|25924|
|5-9<br>27758|28015|27768|26455|25613|25M|26039|26171|26054|25890|
|10-14<br>27962<br> <br>|27725<br>|27985<br>|27741<br>|26432<br>|25593<br>|25756<br>|26024<br>|26159<br>|26044|
|15-19<br>29004|27921|27687|27950|27711|26407|25571|25737|26009|26146|
|20-24<br>31065|28943|27866|27635|27903|27668|26371|25542|25713|25990|
|25-29<br>30506|30979|28872|27801|27574|27847|27619|26332|25511|25689|
|30-34<br>28443|30401|30889|28797|2ms|27512|27790|27570|26292|25479|
|35-39<br>25222|28317|30284|307E8|28715|27659|27440|27724|27512|26245|
|40-44<br>21780|25070|28161|30135|30657|28603|27556|27342|27633|27430|
|45-49<br>25410|21571|24855|27934|29914|30451|28425|27391|27184|27484|
|50-54<br>22745|24994|21270|24535|27592|29565|30121|28138|27125|26930|
|55-59<br>24172|22172|24405|20831|24060|27065|29025|29607|27688|26707|
|60-64<br>20868|23175|-21341|23534|20168|23318|26242|28178|28794|26970|
|65-69<br>14432|19441|21653|20039|22151|19068|22079|24866|26752|27409|
|70-74<br>16873|12706|17230|19253|<br>17938|<br>19860|<br>17205|19969|<br>22521|24299|
|75+<br>24929<br>|2676|24703|27475|30835|31'94|34038|33336|35408|38849|
|TOTAL<br>399254|405994|411472|416551|420806|424254|427474|430003|432262|433486|
|BIRTH RATE|14.9|13.9|13.2|13.1|13.1|13.0|12.9|12.7|12.6|
|DEATHRATE<br>|10.7|10.4|10.2|10.6|11.1|11.3|11.6|11.7|12.2|
|RATE OF NAT. INC.|.43|.35|.31|.25|.20|.17|.13|.10|.05|
|NET MIGRATION<br>RATE|-. 0|-. 0|-. 0|-.0|-. 0|-.0|-.0|.0|.0|
|GROWTH<br>RATE|.42|.34|.30|.25|.20|.17|.13|.10|.05|
|TO'ALFERTILITY|1.960|1.887|1.861|1.905|1.948|1.985|2.016|2.043|2.066|
|hR)R|940|.893|.882|.913|.937|.955|.968|.982|.995|
|e(0) - BOTH SEXES|72.79|73.63|74.37|75.02|75.30|75.59|75.90|76.22|76.55|
|**e(10)**- **BOTH**SEXES|64.28|64.96|65.53|66.03|66.28|66.55|66.82|67.10|67.40|
|**INR**- BOTH SEXES|18.3|15.9|13.9|12.1|11.7|11.3|10.8|10.3|9.8|
|q(5) - BOTH SEXES|.0214|.0184|.0158|.0137|0132|0127|0121|0115|0109|
|<br>DEP. RATIO<br>50.8|50.3|<br>51.1|<br> <br>50.7|<br>51.1|.<br> <br>50.3|.<br>51.|.<br>4<br>53.7|.<br>56.7|.<br> <br>59.4|
31

# **EUROPE AND** U.S.S.R.

# Population projection (thousands)

# Sumary for 25 Year Periods

|. ........................................<br>AGE**GRCP**|......<br>1985|2000|2025|....<br>......<br>....<br>2050|..<br>...........<br> <br>2075|....<br>......<br>2100|..........<br> <br> <br>2125|................<br> <br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL**MIF**|770724|<br>812998|<br>847874|<br>842933|<br>839312|<br>842354|<br>844574|<br>845556|
|MALES|||||||||
|0-4|29134|26930|<br>27175|<br>27211|<br>27216|<br>27225|<br>27227|<br>27229|
|5-9|29001|<br>2m1|27308|<br>27213|<br>27180|<br>27188|<br>27196|<br>27200|
|10-14|29453|29023|<br>27405|<br>27182|<br>27137|<br>27157|<br>27174|<br>27180|
|15-19|30281|28870|<br>27215|<br>27117|<br>27078|<br>27117|<br>27142|<br>27148|
|20-24|32291|28650|<br>26832|<br>26998|<br>27012|<br>27065|<br>27091|<br>27095|
|25-29|31546|28922|<br>26502|<br>26890|<br>26964|<br>27008|<br>27028|<br>27033|
|30-34|29119|29592|<br>27178|<br>26956|<br>26951|<br>26938|<br>26958|<br>26970|
|35-39|25498|31396|<br>28253|<br>26942|<br>26854|<br>26835|<br>26869|<br>26891|
|40-44|21593|30464|<br>27884|<br> <br>26612|<br> <br> <br>26691|<br> <br> <br>26685|<br> <br> <br>26743|<br><br> <br>26773|
|45-49|24572|27784|<br>27374|<br>26016|<br>26391|<br>26446|<br>26522|<br>26555|
|50-54|21333|23846|<br>27128|<br>25274|<br>25904|<br>26052|<br>26107|<br>26136|
|55-59|20563|19452|<br>26785|<br>25087|<br>25217|<br>25294|<br>25327|<br>25360|
|60-64|15160|<br>20628|<br>26577|<br>24598|<br>23905|<br>23943|<br>23988|<br>24039|
|65-69|9724|16285|<br>23103|<br>22038|<br>21571|<br>21788|<br>21866|<br>21940|
|70-74|10158|<br>13382|<br>1M6|18433|<br>18109|<br>18549|<br>18689|<br>18774|
|75.|12045|<br>13491|<br>21177|<br>28567|<br>28480|<br>29172|<br>29661|<br>29832|
|TOTAL|371470|<br>396446|<br>415612|<br>413135|<br>412681|<br>414459|<br>415589|<br>416157|
|FEMALES|||||||||
|0-4|28085|25651|<br>25908|<br>25980|<br>25977|<br>LM968|<br>25964|<br>25963|
|5-9|27758|26455|<br>26054|<br>26004|<br>25974|<br>25S61|<br>25959|<br>25959|
|10-14|27962|27741|<br>26159|<br>25986|<br>25957|<br>259!:.3|<br>25957|<br>25955|
|15-19|29004|27950|<br>26009|<br>25947|<br>25935|<br>25949|<br>25956|<br>25957|
|20-24|31065|27635|<br>25713|<br>25886|<br>25929|<br>25953|<br>25955|<br>25954|
|25-29|30506|27801|<br>25511|<br>25850|<br>25955|<br>25958|<br>25951|<br>25948|
|30-34|28443|<br>28797|<br>26292|<br>25988|<br>25972|<br>25949|<br>25940|<br>25939|
|35-39|25222|<br>30788|<br>27512|<br>26064|<br>25938|<br>25919|<br>25920|<br>25925|
|40-44|21780|<br>30135|<br>27633|<br>25866|<br>25868|<br>25870|<br>25892|<br>25901|
|45-49|25410|<br>27934|<br>27184|<br>25479|<br>25736|<br>25801|<br>25836|<br>25842|
|50-54|22745|<br>24535|<br>27125|<br>25104|<br>25558|<br>25697|<br>25719|<br>25719|
|55-59|24172|<br>20831|<br>27688|<br>25551|<br>25429|<br>25471|<br>25478|<br>25479|
|60-64|20868|<br>23534|<br>28794|<br>26140|<br>25028|<br>24996|<br>25024|<br>25042|
|65-69|16432|<br>20039|<br>26752|<br>25161|<br>23928|<br>24067|<br>24140|<br>24185|
|70-74|16873|<br>19253|<br>22521|<br>22774|<br>21846|<br>22261|<br>22422|<br>22488|
|75+|24929|<br>27475|<br>35408|<br>46019|<br>45600|<br>46122|<br>46872|<br>47141|
|TOTAL|399254|<br>416551|<br>432262|<br>429798|<br>426631|<br>427895|<br>428985|<br>429399|
|BIRTH RATE||14.0|13.0|12.7|12.7|12.7|12.7|12.7|
|DEATH<br>RATE||10.4|11.3|12.9|12.9|12.6|12.6|12.6|
|NET MIGRAT|ION<br>RATE|-. 0|-. 0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE||.36|.17|-. 02|-. 02|.01|.01|.00|
|TOTALFERT|ILITY|1.909|1.978|2.070|2.065|2.064|2.064|2.064|
|**e(O)**- BOT|H<br>SEXES|73.61|75.61|77.25|78.49|78.83|79.06|79.12|
|**INR**- BOTH S|EXES|16.1|11,3|8.9|7.3|6.8|6.4|6.3|
32

|OCEANIA||Popul|ation project|ion<br>(thousa|nds)|||||
|---|---|---|---|---|---|---|---|---|---|
|AGE GROLJP<br>1985|1990|<br>1995|<br>2000|<br>2005|<br>2010|<br>2015|2020|<br>2025|<br>2030|
|,.....<br>...................................................................|..||||.............................|.................||||
|TOTALM+F<br>24646|26740|28950|<br>31041|<br>32974|<br>34734|<br>36314|37643|<br>38770|<br>39730|
|MALES||||||||||
|0-4<br>1218|1298|<br>1379|<br>1416|<br>1438|<br>1452|<br>1463|1460|<br>1442|<br>1446|
|5-9<br>1134|1237|<br>1319|<br>1396|<br>1428|<br>1445|<br>1454|1459|<br>1455|<br>1438|
|10-14<br>1190|1151|<br>1255|<br>1332|<br>1405|<br>1434|<br>1447|1451|<br>1456|<br>1453|
|15-19<br>1176|1204|<br>1167|<br>1266|<br>1339|<br>1408|<br>1432|1441|<br>1446|<br>1451|
|20-24<br>1107|1201|1231|1187|<br>1279|<br>1344|<br>1405|1422|<br>1432|<br>1437|
|25-29<br>1030|1142|<br>1238|<br>1258|<br>1205|<br>1287|<br>1341|1393|<br>1410|<br>1421|
|30-34<br>939|1060|<br>1172|1259|<br>1271|<br>1211|<br>1284|1329|<br>1380|<br>1399|
|3539<br>890|958|1080|1186|<br>1265|<br>1271|<br>1205|1271|<br>1315|<br>1367|
|40-44<br>724|897|968|1084|<br>1184|<br>1258|<br>1260|1191|<br>1256|<br>1300|
|45-49<br>625|722|893|<br>961|<br>1073|<br>1169|<br>1239|<br>1239|<br>1171|<br>1235|
|50-54<br>549|610|<br>707|<br>873|<br>939|1047|<br>1140|<br>1208|<br>1208|<br>1142|
|55-59<br>547|524|<br>583|<br>677|<br>836|<br>901|<br>1005|<br>1094|<br>1159|<br>1160|
|60-64<br>468|<br>505|486|<br>542|<br>631|<br>780|<br>841|<br>939|1023|<br>1085|
|65-69<br>359|413|<br>447|432|<br>482|<br>564|<br>698|<br>755|<br>844|<br>920|
|70-74<br>265|<br>293|<br>340|<br>369|<br>358|<br>401|<br>471|<br>584|<br>633|<br>709|
|75+<br>277|<br>327|<br>374|433|487|<br>507|<br>550|<br>626|<br>751|<br>853|
|TOTAL<br>12500|13541|14637|<br>15671|<br>16621|<br>17479|<br>18237|<br>18861|<br>19379|<br>19814|
|FEMALES||||||||||
|0-4<br>1141|<br>1235|<br>1314|<br>1349|<br>1370|<br>1384|<br>1394|1391|<br>1374|<br>1379|
|5-9<br>1054|1160|1257|1332|<br>1362|<br>1378|<br>1387|1391|<br>1388|<br>1372|
|10-14<br>1108|1071|1179|1271|<br>1342|<br>1369|<br>1381|1385|<br>1389|<br>1387|
|15-19<br>1095|<br>1128|<br>1092|<br>1195|<br>1282|<br>1347|<br>1370|1377|<br>1381|<br>1386|
|20-24<br>1019|<br>1132|<br>1167|1123|<br>1215|<br>1292|<br>1349|1362|<br>1370|<br>1375|
|25-29<br>982|<br>1064|<br>1179|<br>1202|<br>1146|<br>1228|<br>1294|1340|<br>1353|<br>1362|
|30-34<br>913|<br>1015|<br>1099|<br>1204|<br>1218|<br>1155|<br>1228|<br>1284|<br>1330|<br>1345|
|35-39<br>860|<br>932|<br>1036|<br>1115|<br>1212|<br>1221|<br>1152|<br>1219|<br>1275|<br>1321|
|40-44<br>684|<br>868|<br>941|<br>1041|<br>1116|<br>1209|<br>1215|<br>1143|<br>1209|<br>1265|
|45-49<br>586|<br>683|<br>866|<br>938|1035|<br>1109|<br>1199|<br>1203|<br>1133|<br>1198|
|50-54<br>516|<br>579|676|<br>855|<br>927|<br>1023|<br>1096|<br>1184|<br>1188|<br>1118|
|5559<br>524|<br>504|566|<br>662|<br>837|909|<br>1004|<br>1076|<br>1162|<br>1166|
|60-64<br>477|504|<br>.486|546|641|<br>810|<br>881|<br>975|1045|<br>1129|
|65-69<br>399|447|473|457|514|<br>606|<br>767|<br>836|<br>926|<br>995|
|70-74<br>326|<br>355|399|424|<br>412|<br>463|<br>549|695|<br>761|<br>844|
|75.<br>463|<br>522|<br>583|657|<br>722|<br>751|<br>812|<br>921|<br>1107|<br>1273|
|TOTAL<br>12146|<br>13199|<br>14313|<br>15370|<br>16352|<br>17255|<br>18077|<br>18782|<br>19392|<br>19915|
|BIRTH RATE|20.1|19.7|18.7|17.8|17.0|16.3|15.7|15.0|14.6|
|DEATHRATE|8.1|8.0|7.9|7.9|8.0|8.1|8.5|9.0|9.7|
|RATE OF NAT. INC.|1.20|1.17|1.08|.99|.90|.82|.72|.59|.49|
|NET MIGRATION<br>RATE|4.3|4.2|3.1|2.2|1.4|.7|.0|-. 0|.0|
|GROWTH<br>RATE|1.63|1.59|1.40|1.21|1.04|.89|.72|.59|.49|
|TOTAL FERTILITY|2.546|2.507|2.447|2.407|2.359|2.298|2.225|2.149|2.124|
|NRR<br>|1.159|1.146|1.134|1.124|1.106|1.080|1.049|1.016|1.007|
|**e(O)-** BOTH SEXES|72.11|72.76|73.29|73.74|73.95|74.19|74.46|74.77|75.13|
|e(IO)<br>BOTHSEXES|63.83|64.26|64.60|64.88|65.07|65.29|65.54|65.83|66.16|
|IMR- BOTH LEXES|27.5|23.7|20.1|17.1|16.4|15.7|14.8|13.8|13.1|
|qCS)- BOTH SEXES|.0355|.0298|.0245|.0203|.0194|.0185|.0173|.0161|.0152|
|<br>DEP. RATIO<br>56.9|55.2|<br>55.4|<br>53.9|<br> <br>52.3|<br> <br>51.2|<br> <br>51.7|<br> <br>52.5|<br> <br>53.6|<br>54.8|
33 Population projection (thousands)

# OCEANIA

# Summary for 25 Year Periods

|--<br>-<br>-<br>-<br>-<br>.-<br>AGE GROUP|1985|-<br>--<br>-<br>-<br>-<br>2000|.--<br><br>-.-<br>-<br>-<br>2025|--<br>-<br>-.-<br>2050|-<br>-<br>-<br>--<br>-<br> <br>2075|-<br>-<br>-<br>--<br>-<br>-<br> <br>2100|-<br>--<br>-<br>-<br>-<br> <br>2125|--<br>-<br>-<br>-<br>-<br> <br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTALN+F|24646|<br>31041|<br>38770|<br>42265|<br>43935|<br>44484|<br>.4472|2<br>44822|
|MALES|||||||||
|0-4|1218|1416|<br>1442|<br>1442|<br>1444|<br>1445|<br>1445|<br>1445|
|5-9|1134|1396|<br>1455|1443|<br>1443|<br>1443|<br>1443|<br>1443|
|10-14|1190|1332|<br>1456|1446|<br>1442|<br>1441|<br>1442|<br>1442|
|15-19|1176|1266|<br>1446|1445|<br>1437|<br>1438|<br>1440|<br>1440|
|20-24|1107|<br>1187|<br>1432|<br>1433|<br>1431|<br>1435|<br>1437|<br>1438|
|25-29|1030|<br>1258|<br>1410|<br>1421|<br>1428|<br>1432|<br>1434|<br>1434|
|30-34|939|<br>1259|<br>1380|<br>1428|<br>1427|<br>1429|<br>1430|<br>1431|
|35-39|890|<br>1186|<br>1315|<br>1420|<br>1426|<br>1424|<br>1426|<br>1426|
|40-44|724|<br>1084|<br>1256|<br>1399|<br>1419|<br>1415|<br>1418|<br>1420|
|45-49|625|<br>961|<br>1171|<br>1371|<br>1397|<br>1399|<br>1406|<br>1408|
|50-54|549|<br>873|<br>1208|<br>1326|<br>1364|<br>1377|<br>1384|<br>1386|
|55-59|547|<br>677|<br>1159|<br>1256|<br>1330|<br>1337|<br>1343|<br>1345|
|60-64|468|542|<br>1023|<br>1130|<br>1251|<br>1267|<br>1272|<br>1275|
|65-69|359|<br>432|<br>844|<br>985|<br>1124|<br>1154|<br>1158|<br>1163|
|70-74|265|<br>369|<br>633|<br>785|<br>943|<br>976|<br>986|<br>994|
|75+|277|<br>433|<br>751|<br>1222|<br>1401|<br>1515|<br>1560|<br>1577|
|TOTAL|12500|<br>15671|<br>19379|<br>20952|<br>21707|<br>21927|<br>22022|<br>22068|
|FEMALES|||||||||
|0-4|1141|<br>1349|<br>1374|<br>1377|<br>1378|<br>1378|<br>1378|<br>1378|
|5-9|1054|<br>1332|<br>1388|<br>1379|<br>1379|<br>1378|<br>1377|<br>1377|
|10-14|1108|<br>1271|<br>1389|<br>1382|<br>1379|<br>1377|<br>1377|<br>1377|
|15-19|1095|<br>1195|<br>1381|<br>1383|<br>1377|<br>1377|<br>1377|<br>1377|
|20-24|1019|<br>1123|<br>1370|<br>1373|<br>1373|<br>1376|<br>1377|<br>1377|
|25-29|982|<br>1202|<br>1353|<br>1364|<br>1374|<br>1377|<br>1377|<br>1377|
|30-34|913|<br>1204|<br>1330|<br>1374|<br>1376|<br>1377|<br>1377|<br>1376|
|35-39|860|<br>1115|<br>1275|<br>1368|<br>1377|<br>1376|<br>1375|<br>1375|
|40-44|684|<br>-104|1<br>1209|<br>1352|<br>1375|<br>1372|<br>1373|<br>1374|
|45-49|586|938|1133|1333|<br>1361|<br>1365|<br>1369|<br>1371|
|50-54|516|<br>855|<br>1188|1307|<br>1342|<br>1358|<br>1363|<br>1364|
|55-59|524|<br>662|<br>1162|<br>1267|<br>1335|<br>1345|<br>1351|<br>1351|
|60-64|477|<br>546|<br>1045|<br>1186|<br>1301|<br>1321|<br>1326|<br>1328|
|65-69|399|<br>457|<br>926|<br>1080|<br>1233|<br>1271|<br>1277|<br>1281|
|70-74|326|<br>424|<br>761|<br>933|<br>1121|<br>1165|<br>1181|<br>1189|
|75+|463|<br>657|<br>1107|<br>1854|<br>2146|<br>2346|<br>2444|<br>2481|
|TOTAL|12146|<br>15370|<br>19392|<br>21312|<br>22228|<br>22557|<br>22699|<br>22754|
|BIRTH<br>RATE||19.5|16.3|14.1|13.2|12.9|12.7|12.7|
|DEATH RATE||8.0|8.3|10.6|11.6|12.4|12.5|12.6|
|NET MIGRAT|ION<br>RATE|3.9|.8|.0|.0|.0|.0|.0|
|GROWTH<br>RATE||1.54|.89|.35|.16|.05|.02|.01|
|TOTALFERT<br>|ILITY<br>|2.498|2.284|2.101|2.072|2.067|2.064|2.064|
|**e(O)**- BOTH|SEXES|72.75|74.25|76.02|77.78|78.42|78.92|79.05|
|<br>IMR- BOTH S|EXES|23.7|15.5|11.7|9.0|7.6|6.6|6.5|
34

# LOW-INCOME ECONOMIES Population projection (thowards)

|..<br>..<br>. .......<br> <br>AGE GROUIP|..........<br>.<br> <br>1985|.<br>...<br>...<br>...<br>.....<br>1990|...<br>............<br>1995|. .................<br>2000|.....................<br>2005|<br>2010|2015|2020|2025|<br>2030|
|---|---|---|---|---|---|---|---|---|---|---|
|~~~~<br>...<br>...|~~**...**.<br>..<br>....<br>........|............|.....................||.....<br>......|..<br>..........................|..||||
|iOTAL M+F|2710995|3004297|3313194|3626589|<br>3942186|<br>4253046|<br>45597|4865769|5164720|<br>5446546|
|MALES|||||||||||
|0-4|180163|202484|214218|221017|<br>226854|<br>230253|<br>234365|240573|<br>244467|<br>244717|
|5-9|166886|174697|197377|209721|217167|<br>223073|<br>226673|231033|<br>237525|<br>241763|
|10-14|167156|<br>165329|<br>173207|195950|<br>208421|<br>215869|<br>221797|225462|<br>229905|<br>236490|
|15-19|157223|<br>165653|<br>163860|171743|<br>194468|<br>206932|<br>214396|220362|<br>224111|<br>228653|
|20-24|128550|<br>155148|163596|161820|<br>169652|<br>192300|<br>204m|212280|<br>218325|<br>222215|
|25-29|107254|<br>126449|<br>152907|161308|<br>159517|<br>167307|<br>189885|202388|<br>209971|<br>216132|
|30-34|97711|105385|<br>124475|150740|<br>159084|<br>157307|<br>165064|187586|<br>200134|<br>207810|
|35-39|77605|95877|103504|122417|<br>148457|<br>156759|<br>155006|162738|<br>185206|<br>197812|
|40-44|64604|75740|93830|101341|<br>120014|<br>145784|<br>154039|152331|<br>160044|<br>182440|
|45-49|58338|62483|73466|91232|98568|<br>116922|<br>142300|150489|<br>148864|<br>156553|
|50-54|51856|55642|59724|70409|87662|<br>94776|<br>112650|137423|<br>145509|<br>144020|
|55-59|42211|48362|52023|55946|66150|<br>82649|<br>89448|106583|<br>130404|<br>138309|
|60-64|32533|38009|43710|47130|50790|<br>60316|<br>75686|82036|<br>98062|<br>120419|
|65-69|25037|27746|32572|37600|40653|<br>43974|<br>52510|66251|<br>71963|<br>86376|
|70-74|15211|19536|<br>21841|25763|<br>29671|<br>32454|<br>35280|42430|<br>53910|<br>58735|
|75.|13823|16392|20656|24375|28974|<br>34230|<br>38775|43214|<br>50817|<br>63225|
|TOTAL|1386192|<br>1534932|<br>1690967|1848511|<br>2006301|<br>2160906|<br>2312645|<br>2463179|<br>2609217|<br>2745671|
|FEMALES|||||||||||
|0-4|171701|<br>194838|<br>206266|212958|<br>218716|<br>222151|<br>226261|232352|<br>236193|<br>236490|
|5-9|158851|166175|<br>189780|201908|<br>209337|<br>215204|<br>218878|223275|<br>229686|<br>233898|
|10-14|157736|<br>157280|<br>164712|188423|<br>200720|<br>208164|<br>214070|21725|222322|<br>228843|
|15-19|146930|<br>156285|<br>155902|163383|<br>187129|<br>199441|<br>206921|212886|<br>216745|<br>221364|
|20-24|124378|145146|<br>154523|154184|<br>161679|<br>185394|<br>197749|205303|<br>211377|<br>215401|
|25-29|103289|<br>122486|<br>143188|152553|<br>152239|<br>159736|<br>183426|<br>195851|<br>203519|<br>209744|
|30-34|94104|101473|<br>120583|141191|<br>150535|<br>150249|<br>157758|181433|<br>193948|<br>201753|
|35-39|73475|<br>92296|<br>99632|118619|<br>139113|<br>148428|<br>148187|<br>155722|<br>179391|<br>192016|
|40-44<br>|60564<br>|71762<br> <br>|90393<br> <br>|97666<br>|116495<br> <br>|<br>136842<br> <br>|<br>146134<br> <br>|<br>145963<br> <br>|<br>153543<br> <br>|<br>m705<br> <br>|
|45-49|53996|<br>58802|<br>69860|88219|<br>95404|<br>114025|<br>134184|<br>143455|<br>143389|<br>151026|
|50-54|47981|51929|56670|67510|85494|<br>92572|<br>110907|<br>130806|<br>140053|<br>140138|
|55-59|39468|45413|49276|53903|<br>64433|<br>81908|<br>88848|106783|<br>126315|<br>135525|
|60-64|31947|36338|<br>41983|45693|<br>50145|<br>60252|<br>76995|<br>83743|<br>101097|<br>120089|
|65-69|25803|28059|32084|37253|<br>40716|<br>44921|<br>54375|70006|<br>76449|<br>92884|
|70-74|16914|<br>20872|<br>22930|26379|<br>30838|<br>33945|<br>3739|46161|<br>60060|<br>65978|
|75+<br>|17668|<br>20210<br>|<br>24445<br> <br>|28235<br>|<br>32893<br> <br>|<br>38907<br> <br>|<br>44696<br> <br>|51024<br> <br>|<br>61417<br> <br>|<br>78521<br> <br>|
|TOTAL|1324804|<br>1469365|<br>1622228|1778077|<br>1935885|<br>2092140|<br>2247127|<br>2402590|<br>2555502|<br>2700875|
|BIRTH RAT|E|30.8|29.2|27.1|25.2|23.6|22.2|21.2|20.1|18.9|
|DEATH RAT|E|10.2|9.5|8.9|8.5|8.3|8.2|8.2|8.2|8.3|
|RATEOFMA|T. INC.|2.07|1.97|1.82|1.68|1.52|1.40|1.30|1.19|1.06|
|NET MIGRA|TION<br>RATE|-.1|-.1|-.1|-. 1|-.0|-.0|-.0|.0|.0|
|GROWTH<br>RAT|E|2.05|1.96|1.81|1.67|1.52|1.39|1.30|1.19|1.06|
|TOTAL FER|TILITY|3.889|3.603|3.350|3.178|3.006|2.834|2.701|2.579|2.462|
|NRR||1.588|1.487|1.406|1.376|1.329|1.259|1.204|1.162|1.123|
|e(o)- BOT|H SEXES|61.11|62.59|63.97|65.25|65.97|66.74|67.59|68.50|69.47|
|eWlO) - BO|TH SEXES|58.30|58.90|59.39|59.82|60.32|60.85|61.43<br>|62.04<br>|62.70<br>|
|IMR- BOT|H SEXES|84.4|74.8|66.1|57.6|54.1|50.0|45.6|41.2|36.8|
|q(5)-BO|H SEXES|1183|1039|0909|0780|.0733|.0678|.0617|.0554|.0491|
|<br>DEP. RATIO|<br> <br>70.1|.<br> <br>65.9|.<br> <br>64.6|.<br>63.6|.<br> <br>60.4|<br> <br>56.9|<br> <br>54.3|<br> <br>53.2|<br> <br>52.4|<br>52.2|
35

# LOMINCOSE ECONOMIES

# PopuLation projection (thousards)

# Suulmry for 25 Year Periods

|AGE GROUP|<br>1965|<br>2000|<br>2025|2050|2075|2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL<br>M4F|2710995|<br>3626589|<br>5164720|<br>6343304|<br>7038728|<br>7314711|<br>7409003|<br>7446666|
|MALES|||||||||
|0-4|180163|<br>221017|<br>244467|<br>23885|238729|<br>239066|<br>239276|<br>239362|
|5-9|1668|209721|<br>237525|<br>237307|<br>238272|<br>238808|<br>239016|<br>239079|
|10-14|167186|<br>195950|<br>229905|<br>237446|<br>238322|<br>238631|<br>238795|<br>238854|
|15-19|157223|<br>171743|<br>224111|<br>238663|<br>238074|<br>238157|<br>238384|<br>238509|
|20-24|128550|<br>161820|<br>218325|<br>239564|<br>236813|<br>237266|<br>237745|<br>238001|
|25-29|107254|<br>161308|<br>209971|<br>237090|<br>235560|<br>236296|<br>237149|<br>237467|
|30-34|97711|<br>150740|<br>200134|<br>230797|<br>233740|<br>235560|<br>236595|<br>236923|
|35-39|77605|<br>122417|<br>185206|<br>221904|<br>233003|<br>234934|<br>235873|<br>236185|
|40-44|64604|<br>101341|<br>160044|<br>214413|<br>232954|<br>233706|<br>234578|<br>234990|
|**45-49**|**58338**|<br>91232|<br>148864|<br>206458|<br>231741|<br>230729|<br>232133|<br>232848|
|50-54|51856|<br>70409|<br>145509|<br>194629|<br>225313|<br>225973|<br>227907|<br>229071|
|55-59|42211|<br>55946|<br>130404|<br>17867|7<br>211970|' 217432|<br>22076|2<br>222216|
|60-64|**32533**|<br>47130|<br>9606|<br>15484|2<br>191973|<br>205125|<br>20901|4<br>210523|
|65-69|25037|<br>37600|<br>71963|<br>11989|<br>167946|<br>18679|9<br>19019|0<br>19178|
|70-74|15211|<br>25763|<br>53910|<br>93930|<br>137334|<br>158919|<br>161468|<br>163512|
|75+|13823|<br>24375|<br>50817|<br>12327|2<br>186234|<br>23397|4<br>25074|5<br>257398|
|TOTAL|1386192|<br>1848511|<br>2609217|<br>3167678|<br>3477977|<br>359137|6 362963|0 3646721|
|FEMALES|||||||||
|0-4|171701|<br>21295|236193|<br>230978|<br>230674|<br>230662|<br>230718|<br>230703|
|5-9<br>|158851<br>|<br>201908<br> <br>|<br>229686<br> <br>|<br>229861<br>|<br>230656<br> <br>|<br>230754<br>|<br>230733|<br>230682|
|10-14|157736|<br>188423|<br>22232|230170|<br>231009|<br>230849|<br>2307`1|2<br>230650|
|15-19|146930|<br>1638|216745|<br>231613|<br>231196|<br>230770|<br>230610|<br>230603|
|20-24|124378|<br>154184|<br>211377|<br>232978|<br>230613|<br>230476|<br>230460|<br>230565|
|25-29|103289|<br>152553|<br>203519|<br>231068|<br>229969|<br>230163|<br>230447|<br>230548|
|30-34|94104|<br>141191|<br>193948|<br>225286|<br>228712|<br>230071|<br>230474|<br>230511|
|35-39|73475|<br>118619|<br>17991|216921|<br>22872|230167|<br>230422|<br>230368|
|40-44|60564|<br>97666|<br>153543|<br>210010|<br>229287|<br>229911|<br>230055|<br>230018|
|45-49|53996|<br>88219|<br>143389|<br>203037|<br>229381|<br>228476|<br>229124|<br>22930|
|50-54|47981|<br>67510|<br>140053|<br>193069|<br>225314|<br>226236|<br>227541|<br>228127|
|55-59|39468|<br>53903|<br>126315|<br>180256|<br>216041|<br>222153|<br>225094|<br>225974|
|60-64|31947|<br>45693|<br>101097|<br>160926|<br>202170|<br>217072|<br>22097|5<br>22191,78|
|65-69|25803|<br>37253|<br>76449|<br>12895|185840|<br>208591|<br>21262|4<br>213914|
|70-74|16914|<br>26379|<br>60060|<br>107500|<br>163030|<br>191748|<br>'195771|<br>198008|
|75.|17668|<br>28123|5<br>61417|<br>162995|<br>268286|<br>355236|<br>393612|<br>40799|
|TOTAL|1324804|<br>177807|2555502|<br>3175627|<br>3560751|<br>3723335|<br>3779372|<br>3799945|
|BIRTH RATE||28.9|22.3|16.9|14.2|13.2|12.8|12.7|
|DEATH<br>RATE||9.5|8.3|8.7|10.0|11.7|12.3|12.5|
|NET MIGRA|TION<br>RATE|-. 1|-.0|.0|.0|.0|.0|.0|
|GROWTH<br>RAT|E|1.94|1.41|.82|.42|.15|.05|.02|
|TOTAL FERT|ILITY|3.592|2.839|2.266|2.074|2.061|2.054|2.053|
|eCO)-BOTH|SEXES|62.65|66.92|71.79|75.95|77.46|78.58|78.87|
|ii. R<br>BOTH|SEXES|74.9|49.6|27.8|12.7|9.2|7.1|6.7|
36

# LOWER-MIDDLE-INCOt4 ECONOMIES PopuLation projection (thousands)

|...<br>..........<br>........<br>..........<br>.................<br>AGE GROUP<br>1985<br>.............<br>........................|........<br>.<br>1990|.....<br>..........<br>1995<br>....................|....<br>......<br>2000<br>.....|.....................<br>2005<br>.................................|2010|...........................................<br> <br>2015|2020<br>..<br>...<br>..<br>...............|<br>2025<br>.............................|.....<br> <br>2030|
|---|---|---|---|---|---|---|---|---|---|
|TOTALM+F<br>S79609|<br>648045|<br>719861|792115|<br>864199|<br>935452|<br>1006590|<br>1076680|<br>1144579|<br>1208904|
|MALES||||||||||
|0-4<br>43391|45532|47907|48786|49463|50136|<br>51292|52144|<br>52638|<br>52819|
|5-9<br>38005|42465|44732|47231|48238|48947|49656|50850|<br>51748|<br>52293|
|10-14<br>34935|37679|42155|44451|46988|48010|<br>48734|49462|<br>50675|<br>51594|
|15-19<br>31540|34585|37341|41825|44150|46698|<br>47738|48482|<br>49233|<br>50470|
|20-24<br>27344|31008|34063|36835|41344|43691|46262|47335|<br>48119|<br>48913|
|25-29<br>23546|26743|3040M|<br>33472|36285|40808|43183|45787|<br>46908|<br>47744|
|30-34<br>19611|23001|26194|29853|32956|35789|<br>40318|42722|<br>45358|<br>46527|
|35-39<br>15409|19120|22497|25683|29349|<br>32461|35304|39834|<br>42263|<br>44929|
|40-44<br>12238|14952|18624|21978|25159|28804|<br>31912|34758|<br>39279|<br>41731|
|45-49<br>10861|<br>11784|<br>14449|<br>18057|<br>21374|<br>24515|<br>28117|<br>31207|<br>34045|<br>38539|
|50-54<br>9394|<br>10321|<br>11233|<br>13818|<br>17326|<br>20561|<br>23632|<br>27160|<br>30209|<br>33020|
|55-59<br>7836|<br>8728|<br>9620|<br>10505|<br>12966|<br>16310|<br>19413|<br>22371|<br>25777|<br>28747|
|60-64<br>5875|<br>7025|<br>7853|<br>8693|<br>9530|<br>11807|<br>14909|<br>17811|<br>20594|<br>23806|
|65-69<br>4152|<br>4981|<br>5990|<br>6736|<br>7487|<br>8246|<br>10266|<br>13026|<br>15635|<br>18155|
|70-74<br>3141|<br>3220|<br>3894|<br>4716|<br>5338|<br>5968|<br>6613|<br>8284|<br>10578|<br>12774|
|75+<br>3205|3512|3732|4327|5205|6092|<br>7000|<br>7946|<br>9656|<br>12211|
|TOTAL<br>290484|324655|<br>360693|396965|433159|<br>468845|<br>504351|<br>539181|<br>572714|604272|
|FEMALES||||||||||
|0-4<br>41931|44019|46255|47051|47656|48315|49435|50264|<br>50748|<br>50926|
|5-9<br>36717|41119|43328|45683|46600|47238|47934|49094|<br>49967|<br>50501|
|10-14<br>33719|36431|40854|43093|45487|46420|47074|47189|<br>48969|<br>49865|
|15-19<br>30402|33428|36152|40589|42861|45270|<br>46221|46898|<br>47637|<br>48843|
|20-24<br>26882|<br>29983|<br>33018|<br>35759|<br>40230|<br>42528|<br>44965|<br>45953|<br>46668|<br>47451|
|25-29<br>23412|26412|29512|32564|35343|39834|<br>42163|44635|<br>45669|<br>46435|
|30-34<br>19621|22984|25978|29083|32166|34963|39466|41822|<br>44327|<br>45406|
|35-39<br>15425|19242|22586|25578|28695|<br>31790|<br>34596|39104|<br>41485|<br>44023|
|40-44<br>12428|15094|18873|22195|25187|<br>28297|<br>31395|34205|<br>38714|<br>41119|
|45-49<br>11247|12114|14741|18469|<br>21762|24736|<br>27830|30924|<br>33734|<br>38237|
|!3-54<br>9693|<br>10877|<br>11736|<br>14308|<br>17966|<br>21211|<br>24155|<br>27225|<br>30307|<br>33113|
|55-59<br>8348|<br>9249|<br>10397|<br>11243|<br>13741|<br>17302|<br>20477|<br>23375|<br>26406|<br>29467|
|60-64<br>6445|<br>7779|<br>- 8641|<br>9738|<br>10564|<br>12958|<br>16378|<br>19451|<br>22279|<br>25249|
|65-69<br>4771|<br>5759|<br>6974|<br>7777|<br>8798|<br>9595|11830|<br>15031|<br>17940|<br>20650|
|70-74<br>3779|<br>3950|<br>4805|<br>5845|<br>6556|<br>7467|<br>8204|<br>i0191|<br>13048|<br>15685|
|75+<br>4506|<br>4950|<br>5318|<br>6175|<br>7428|<br>8682|<br>10114|<br>11539|<br>13965|<br>17660|
|TOTAL<br>289325|<br>323389|<br>359168|<br>395150|<br>431040|<br>466607|<br>502239|<br>537499|<br>57186|4<br>604632|
|BIRTH RATE|31.5|29.4|26.8|24.5|22.8|21.6|20.4|19.2|18.2|
|DEATH RATE|8.4|7.7|7.1|6.7|6.7|6.7|6.8|6.9|7.2|
|RATE OF NAT. INC.|2.30|_2.17_|1.97|1.78|1.61|1.49|1.36|1.23|1.09|
|NET MIGRATION<br>RATE|-. 8|-. 6|-. 5|-.4|-.3|-. 2|-. 1|-. 1|.0|
|GROWTH RATE|2.23|2.10|1.91|1.74|1.58|1.47|1.35|1.22|1.09|
|TOTAL FERTILITY|4.046|3.663|3.305|2.999|2.764|2.610|2.492|2.405|2.336|
|NRR|1.750|1.614|1.480|1.365|1.264|1.200|1.154|1.119|1.094|
|e(O)- BOTH SEXES|64.00|65.48|66.86|6a.12|68.80|69.50|70.25|71.03|71.84|
|e(10)- BOTH SEXES|59.55|60.13|60.70|61.29|61.79|62.32|62.87|63.45|64.05|
|IMR- BOTH SEXES|62.5|53.6|45.5|38.2|35.9|33.4|30.8|28.1|25.4|
|q(5) - BOTH SEXES|.C833|.0702|.0587|.0486|.0457|.0425|.0391|.0357|.0320|
|<br>DEP. RATIO<br>77.0|<br> <br>73.|<br>1<br>69.8|<br> <br>64.9|<br> <br>60.3|<br> <br>55.|<br>8<br>52.|<br>9<br>51.|<br>4<br>50.|8<br>50.4|
37

# LOWER-MIDLE-INC(E ECONOMIES Poputation projection (thousands)

## Suniary for 25 Year Periods

|AGE GROUP|1985|2000|2025|2050|<br>2075|<br>2100|2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL MF|579809|<br>792115|<br>1144579|<br>1416287|<br>1558213|<br>1608826|<br>1624538|<br>1630349|
|MALES|||||||||
|0-4|43391|<br>48786|<br>52638|<br>52205|<br>52307|<br>52381|<br>52402|<br>52410|
|5-9|38005|<br>47231|<br>51748|<br>52154|<br>52267|<br>52316|<br>52338|<br>52347|
|10-14|34935|<br>44451|<br>50675|<br>52223|<br>52235|<br>52244|<br>52284|<br>52301|
|15-19|31540|41825|<br>49233|52228|<br>52061|<br>52123|<br>52205|<br>52234|
|20-24|27344|<br>36835|<br>48119|52042|<br>51761|<br>51966|<br>52094|<br>52131|
|25-29|23546|<br>33472|<br>46908|51511|<br>51621|<br>51835|<br>-<br>51978|<br>52015|
|30-34|19611|<br>29853|<br>45358|<br>50620|<br>51497|<br>51730|<br>51849|<br>51889|
|35-39|15409|<br>25683|<br>42263|49296|<br>51403|<br>51564|<br>51663|<br>51725|
|40-44|12238|<br>21978|<br>39279|47539|<br>51171|<br>51196|<br>51368|<br>51477|
|45-49|10861|<br>18057|<br>34045|<br>45975|<br>50578|<br>50541|<br>50878|<br>51040|
|50-54|9394|13818|<br>30209|<br>43961|<br>49245|<br>49662|<br>50045|<br>50234|
|55-59|7836|10505|<br>25777|<br>40981|<br>46862|<br>4809|48551|<br>3735|
|60-64|5875|8693|20594|<br>35824|<br>43108|<br>45496|<br>45973|<br>46162|
|65-69|4152|6736|15635|<br>29974|<br>37767|<br>41337|<br>41792|<br>42065|
|70-74|3141|4716|10578|<br>21852|<br>31134|<br>35034|<br>35526|<br>35921|
|75*|3205|4327|9656|25469|<br>43553|<br>52578|<br>55777|<br>56833|
|TOTAL|290484|<br>396965|<br>572714|<br>703854|<br>768568|<br>7093|796723|<br>799521|
|FEMALES|||||||||
|0-4|41931|<br>47051|<br>50748|<br>50323|<br>50368|<br>50370|<br>50364|<br>50356|
|5-9|36717|<br>45683|<br>49967|<br>50357|<br>50414|<br>50377|<br>50357|<br>50349|
|10-14|33719|<br>43093|<br>48969|<br>50481|<br>50445|<br>50363|<br>50345|<br>50343|
|15-19|30402|<br>40589|<br>47637|<br>50565|<br>50364|<br>50324|<br>50330|<br>50339|
|20-24|26882|<br>35759|<br>46668|<br>50511|<br>50202|<br>50291|<br>50321|<br>50336|
|25-29|23412|<br>32564|<br>45669|<br>50127|<br>50196|<br>50295|<br>50330|<br>50330|
|30-34|19621|<br>29083|<br>44327|<br>49374|<br>50203|<br>50325|<br>50325|<br>50313|
|35-39|15425|<br>25578|<br>41485|<br>48209|<br>50259|<br>50314|<br>50283|<br>50276|
|40-44|12428|<br>22195|<br>38714|<br>46658|<br>50226|<br>50157|<br>50187|<br>50210|
|45-49|11247|<br>18469|<br>33734|<br>45390|<br>49954|<br>49836|<br>50025|<br>50082|
|50-54|9693|14308|<br>30307|<br>43937|<br>49179|<br>49521|<br>49768|<br>49846|
|55-59|8348|11243|<br>26406|<br>41873|<br>47760|<br>48964|<br>49309|<br>49378|
|60-64|6445|9738|<br>22279|<br>37981|<br>45496|<br>48019|<br>48418|<br>48496|
|65-69|4771|7777|<br>17940|<br>33501|<br>42039|<br>46107|<br>46559|<br>4753|
|70-74|3779|5845|<br>13048|<br>26239|<br>37391|<br>42326|<br>42957|<br>43358|
|75+|4506|6175|<br>13965|<br>36907|<br>65148|<br>81143|<br>87937|<br>90063|
|TOTAL|289325|<br>395150|<br>571864|<br>712433|<br>789644|<br>818733|<br>827815|<br>830828|
|BIRTH RATE||29.0|21.5|16.3|13.9|13.0|12.8|12.7|
|DEATH<br>RATE||7.7|6.8|7.9|10.1.|11.8|12.4|12.6|
|NET MIGRAT|ION<br>RATE|-.6|-. 2|.0|.0|.0|.0|.0|
|GROWTH<br>RAT|E|2.08|1.47|.85|.38|.13|.04|.01|
|TOTAL FERT|ILITY|3.638|2.633|2.211|2.067|2.060|2.057|2.056|
|eCO) - **BO**|**TH**<br>SEXES|65.55|69.65|73.72|76.96|78.02|78.79|78.98|
|<br>**IIR**- BOTH<br>S|<br>EXES|53.7|33.2|19.6|10.0|8.1|6.8|6.6|
**38**

|UPPER-MID<br>...........................|DLE-INCOI<br>EC<br>............|E<br>ONOMIES<br>..............................|Popula|tion projecti|on (thousar<br>...<br>...<br>...<br>..|ds)<br>..<br>....<br>......|.....<br>........|.................................|||
|---|---|---|---|---|---|---|---|---|---|---|
|AGE GROUP|<br>1985|1990|1995|2000|2005|2010|2015|2020|2025|2030|
|TOTALN+F|421516|462037|503719|545369|586461|627411|668806|709352|747583|782534|
|MALES|||||||||||
|0-4|26548|28244|29227|29694|30099|30924|32087|32676|32626|32352|
|5-9|24708|26207|27951|28987|29508|29924|30761|31933|32537|32505|
|10-14|22541|24585|26093|27846|28895|29422|29844|30686|31863|32473|
|15-19|21114|22398|24446|25960|27710|2s773|29307|29738|30586|31770|
|20-24|19808|<br>20907|22196|24245|25767|27529|28590|29136|29580|30440|
|25-29|17654|19573|20679|21971|240Z4|25552|27317|28389|28951|29412|
|30-34|15339|17434|19351|20463|21763|23817|25350|271 V!|28201|28779|
|35-39|12331|<br>15120|17210|19124|20245|21548|23601|25136|26908|28001|
|40-44|10179|<br>12102|14868|16948|18860|19983|21286|23333|24871|26644|
|45-49|9420|9908|11808|14537|16600|18492|19612|20911|22947|<br>24483|
|50-54|8300|9042|9536|11392|14057|16076|17933|19045|20333|22345|
|55-59|7139|7790|8515|9004|10786|13337|15282|17080|18173|19437|
|60-64|5627|6476|7098|7787|8260|9917|12298|14128|_15829_|<br>16884|
|65-69|3936|4841|5609|6179|6810|7242|8723|10855|<br>12513|14065|
|70-74|3202|**3111**|3859|4506|4S5|5526|5898|7134|8920|10329|
|75+|3349|3706|3853|4487|5290|6057|6843|7530|8804|10785|
|TOTAL|211198|231445|252300|273129|293678|314119|334731|354828|373640|390705|
|FEMALES|||||||||||
|0-4|25571|27157|28068|28482|28834|29629|30749|31319|31273|31013|
|5-9<br>|23826<br>|25285<br> <br>|26916<br>|27877<br>|28338<br>|28703|29510|30642|31226|31198|
|10-14|21769|<br>2378|25197|26838|27811|28278|28650|29463|30600|31192|
|15-19|20416|21666|23632|25107|26756|27734|28208|28588|29409|30554|
|20-24|19205|20274|21531|23501|24985|26639|27625|28112|28504|29339|
|25-29|17217|19040|20118|21379|23358|24849|26508|27505|28007|28416|
|30-34|15054|17057|18884|19967|21236|23220|24716|26380|27387|27904|
|35-39|12211|14896|16899|18726|19817|21090|23075|24575|26244|27262|
|40-44|10189|12056|14727|16726|18553|19645|20921|22906|24410|26083|
|45-49|9551|10018|11869|14519|16511|18328|19420|20696|22680|24187|
|50-54|8553|9323|9794|11622|14239|16210|18012|19103|20378|22357|
|55-59|7517|8252|9016|9490|11282|13844|15783|17561|18649|19921|
|60-64|6178|7107|- 7830|8581|9056|10785|13263|15154|16894|17976|
|65-69|4494|5625|6508|7204|<br>7929|8388|10016|<br>12358|14167|15843|
|70-74|3889|3821|4820|5620|6262|6921|7349|<br>8814|10930|12593|
|75+<br>|u78|5288|5608|6603|7818|9031|10269|11350|13186|15993|
|TOTAL|210318|230592|251419|272240|292784|313292|334075|354525|373943|391829|
|BIRTH RAT|E|26.7|25.0|23.2|21.6|20.6|20.0|19.1|18.0|16.9|
|DEATH RAT|E|8.1|7.5|7.1|6.9|7.0|7.1|7.3|7.5|7.8|
|RATE OFNA|T.INC.|1.85|1.75|1.61|1.47|1.36|1.29|1.18|1.05|.91|
|NET MIGRAT|ION<br>RATE|-.2|-.2|-.2|-.|-.1|-.1|-.0|-.0|0|
|GROWTH<br>RAT|E|1.84|1.73|1.59|1.45|<br>1.35|<br>1.28|<br>1.18|<br>1.05|.<br>.91|
|TOTAL FERT|ILITY|3.385|3.140|2.924|2.734|2.618|2.553|2.477|2.387|2.299|
|NRR||1.522|1.425|1.350|1.273|1.221|1.198|1.168|1.127|1.090|
|eCO)**-** BOT|H<br>SEXES|67.34|68.64|69.81|70.88|71.37|71.89|72.45|73.04|73.68|
|**e(10)**<br>**-** BO|TH SEXES|61.61|62.29|62.87|63.40|63.76|64.14|64.55|64.98|65.44|
|IMR**-** BOTH<br>|SEXES|53.2|46.0|38.4|31.7|29.6|27.5|25.3|23.0|20.6|
|q(5)<br>- BOT|H SEXES|.0663|.0561|.0459|.0372|.0348|.0323|0296|0268|0240|
|<br>DEP. RATIO|<br>66.6|64.8|<br>62.5|<br>59.9|<br>56.9|<br>54.0|<br>52.7|.<br>52.7|.<br>52.9|.<br> <br>52.8|
39

# UPPER-MIDDLE-INCOIE ECONOMIES Poputetion projection (thouswnds)

# **SuTwry** for 25 Year Periods

|AGE GROUP|1985|2000|2025|2050|2075|2100|2125|2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL M.F|421516|545369|<br>747583|890742|965161|989431|996026|998365|
|MALES|||||||||
|0-4|26548|29694|32626|32196|32080|32098|32120|32130|
|5-9|24708|28987|32537|31947|31974|32052|32089|32097|
|10-14|22541|<br>27846|31863|31710|31943|32043|32072|32073|
|15-19|21114|25960|30586|31844|31980|32024|32032|32030|
|20-24|19808|24245|29580|32024|31975|31947|31953|31960|
|25-29|17654|21971|28951|32137|31891|-'16|31858|31886|
|30-34|15339|<br>20463|28201|32004|31599|M6?|<br>31M74|<br>31818|
|35-39|12331|19124|26908|31204|31279|s.564|31696|31734|
|40-44|10179|<br>16948|24871|29776|31283|31487|31572|31592|
|45-49|9420|14537|<br>22947|28527|31225|31269|31294|31315|
|50-54|8300|11392|<br>20333|27416|30851|30742|30738|30800|
|55-59|7139|9004|18173|<br>25783|29790|29591|<br>29754|29881|
|60-64|5627|7787|15829|23138|27488|27797|28184|28342|
|65-69|3936|6179|12513|19321|**23888**|25414|25759|25882|
|70-74|3202|4506|8920|15079|<br>19566|21794|22046|<br>22128|
|75+|3349|4487|8804|18564|<br>28091|33597|34641|35014|
|TOTAL|211198|273129|373640|<br>442672|476904|486904|<br>489584|<br>490680|
|FEMALES|||||||||
|0-4|25571|284|31273|30874|30737|30723|30733|30737|
|5-9|23826|27877|3.226|30669|30678|30718|30735|30736|
|10-14|21769|26838|30600|30467|30680|30738|30742|30736|
|15-19|20416|25107|29409|30636|30764|30763|30740|30730|
|20-24|19205|23501|28504|30877|30831|30757|3073|30721|
|25-29|17217|21379|28007|31061|30822|30704|30701|30714|
|30-34|15054|<br>19967|27387|31002|30605|30637|30689|30710|
|35-39|12211|18726|26244|30300|30373|30618|30693|30702|
|40-44|10189|16726|24410|29009|30486|<br>30660|30686|30671|
|45-49|9551|14519|22680|27955|<br>30611|30639|30605|30582|
|50-54|8553|11622|20378|2720|30576|30456|30399|30415|
|55-59|7517|9490|18649|26170|30129|29921|30045|30126|
|60-64|6178|8581|16894|<br>24395|28788|29126|29506|<br>29625|
|65-69|4494|7204|14167|21573|26396|28141|28524|28620|
|70-74|3889|5620|10930|<br>18198|<br>23362|26151|26500|26575|
|75+|4678|6603|13186|<br>27681|42419|S5m|54422|55287|
|TOTAL|210318|2m40|373943|448071|488257|<br>502527|506443|<br>507685|
|BIRTHRATE||24.8|19.8|15.5|13.6|12.9|12.7|12.7|
|DEATH<br>RATE||7.6|7.2|8.6|10.4.|11.9|12.5|12.6|
|NET MIGRA|TION<br>RATE|-.2|-.1|.0|.0|.0|.0|.0|
|GROWTH<br>RAT|E|1.72|1.26|.70|.32|.10|.03|.01|
|TOTAL FERT|ILITY|3.134|2.545|2.161|2.065|2.063|2.061|2.060|
|eCO) - **BOT**|**H**<br>SEXES|68.67|71.99|75.12|77.61|78.38|78.91|79.05|
|<br>**tMR**- BOTH S|EXES|45.8|27.3|15.9|8.4|7.3|6.6|6.5|
40

# HIGH-INCOME ECONOMIES **Popuation** projection **(thousands)**

|**..**-..........<br>..<br>.................................<br>**ACEGROUP**<br>1985|1990|..........<br>1995|...............................................<br>2000|...........<br>2005|2010|2015|2020|..................<br>2025|2030|
|---|---|---|---|---|---|---|---|---|---|
|<br> <br>....<br>....<br>....<br>.....<br>.....<br>.|<br>....<br>.........|<br>................|<br>....<br>.....|<br>....................................|<br>..||<br>...........................|<br>..............................................||
|TOTALM+F<br>767138|789298|<br>810894|830231|846556|859895|<br>87094u|.<br>879372|<br>884304|<br>885067|
|HALES||||||||||
|0-4<br>2691?7|<br>27369|<br>27643|27104|27153|2U7S|27586|27933|<br>28169|<br>28286|
|5-9<br>27045|27166|27529|27792|27217|M23|27315|27605|<br>27924|<br>28134|
|10-14<br>29495|<br>27171|27286|27640|27875|27276|27268|27331|<br>27601|<br>27900|
|15-19<br>31140|29603|27274|27380|27706|27915|27296|27267|<br>27310|<br>27560|
|20-24<br>32251|31359|29803|27459|27511|27788|27957|27300|<br>27233|<br>27240|
|25-29<br>31094|32547|31627|30050|27643|27630|27853|27970|<br>27265|<br>27151|
|30-34<br>29880|31330|32753|31817|30188|27733|27674|27852|<br>27925|<br>27181|
|35-39<br>28967|29995|31422|32831|31862|30201|27722|27630|<br>27776|07820|
|40-44<br>24241|28926|29944|31363|3'746|31760|30091|-<br>27605|<br>27493|<br>27619|
|45-49<br>21689|24020|286d4|29682|31085|32445|31464|29808|27338|<br>27217|
|50-54<br>20315|21224|23531|28109|29118|<br>30493|31834|30880|<br>29262|<br>26838|
|55-59<br>19291|<br>19509|20421|22681|27124|28099|29435|30746|<br>29843|<br>28294|
|60-64<br>16907|<br>17997|<br>18263|19161|21319|25512|26438|27712|<br>28971|<br>28146|
|65-69<br>12374|<br>15080|<br>16136|16438|17285|19247|<br>23057|23905|<br>25079|<br>26252|
|70-74<br>109;0|10254|12583|13541|13848|14574|<br>16246|<br>19489|<br>20222|<br>21242|
|75+<br>13572|<br>14662|14848|<br>16792|18594|19784|<br>20975|22878|<br>26337|<br>28704|
|TOTAL<br>376186|388211|<br>399731|<br>409840|418272|424956|<br>430211|<br>433912|<br>435749|<br>435582|
|FEMALES||||||||||
|0-4<br>25671|26067|263Z1|25804|25844|25961|26273|<br>26610|<br>26841|<br>26957|
|5-9<br>25722|25860|26246|26487|25932|25939|26027|26311|<br>26621|<br>26826|
|10-14<br>27986|25864|25995|26371|26584|26005|25991|26059|<br>26323|<br>26614|
|15-19<br>29660|28142|26015|26135|26479|26665|26062|26026|<br>26072|<br>26314|
|20-24<br>31119|29956|28427|26281|26341|26634|26775|26131|<br>26053|<br>26059|
|25-29<br>30088|31463|30288|28738|26522|26522|26763|26855|<br>26162|<br>26037|
|30-34<br>29083|30337|31704|30515|28915|26653|<br>26613|26816|<br>26870|<br>26142|
|35-39<br>28423|29224|30476|31834|30614|28984|26698|26633|<br>26811|<br>26841|
|40-44<br>24025|28450|29255|<br>30505|31846|30612|28972|<br>26676|<br>26597|<br>26762|
|45-49<br>21764|23947|28365|29175|30420|31750|<br>30517|28879|<br>26585|<br>26502|
|50-54<br>20817|21574|23760|28161|28976|30212|31535|30313|<br>28689|<br>26410|
|55-59<br>20775|20482|21256|23438|27805|28613|29838|31152|<br>29952|<br>28355|
|60-64<br>20076|20191|<br>19958|20749|22912|27194|27991|29199|<br>30497|<br>29336|
|65-69<br>15650|<br>19033|<br>19223|19064|19863|21948|26068|26844|<br>28019|<br>29285|
|70-74<br>15248|<br>14123|<br>17281|<br>17547|17477|18224|<br>20158|23973|<br>24706|<br>25811|
|75+<br>24845|<br>26377|26594|29586|<br>31752|33021|34453|36984|<br>41757|<br>45232|
|TOTAL<br>390952|<br>401087|<br>411163|420390|428284|434939|440737|<br>445460|<br>448555|<br>449485|
|BIRTH RATE|13.9|13.6|13.0|12.7|12.6|12.6|16|12.6|12.6|
|DEATH RATE|9.4|9.3|9.2|9.6|10.0|10.4|.9|11.6|12.4|
|RATE OFNAT.INC.|.45|.43|.38|.32|.26|.22|.17|.1o|.02|
|NET MIGRATION RATE|1.2|1.1|1.0|.7|.5|.4|.3|.1|.0|
|GROWTH<br>RATE|.57|.54|.47|.39|.31|.26|.19|..I|.02|
|TOTAL FERTILITY|1.788|1.817|1.830|1.902|1.966|2.021|2.064|2.098|2.121|
|NRR|.868|.868|.875|.916|.951|.976|.996|1.012|1.024|
|**e(O)**<br>- BOTH SEXES|76.09|76.65|77.10|77.46|77.56|77.66|77.76|77.88|78.01|
|**e(10)**<br>- BOTH SEXES|66.96|67.45|67.85|68.17|68.26|68.36|68.46|68.57|68.68|
|IMR - BOTH SEXES|12.2|11.3|10.5|9.7|9.7|9.5|9.3|9.0|8.6|
|q(5) -BOTH SEXES|0140|0127|0117|0108|0108|0106|0103|0099|0094|
|<br>DEP. RATIO<br>49.9|.<br>48.8|.<br>49.3|.<br>49.3|.<br>49.3|.<br>50.0|.<br>52.9|.<br>56.1|.<br>59.4|.<br> <br>62.7|
41

# **HCG-INCGIE** ECONOMIES Population projection (thouLands)

**Summery** for 25 Year Periods

|**ACEGRGUP**|1985|2000|2025|2050|2075|2100|2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|,.............|. .....................||. ...<br>.........|....|.........|.......|.....|<br>..|
|TOTAL MF|767138|830231|884304|869275|864770|<br>868890|870033|870521|
|MALES|||||||||
|0-4|26997|27104|28169|27937|27970|28009|28023|28025|
|5-9|27045|27792|27924|27830|27952|27996|28000|27997|
|10-14|29495|27640|27601|27930|27992|27992|27980|27975|
|15-19|31140|27380|27310|28100|28008|27952|27939|<br>27940|
|20-24|32251|27459|27233|28128|27917|27862|27874|27885|
|25-29|31094|30050|27265|27934|27727|27768|27812|<br>27827|
|30-34|29880|31817|27925|27645|27584|27715|27764|27769|
|35-39|28967|32831|27776|27250|2762C|<br>27692|27700|27690|
|40-44|24241|31363|27493|26856|27691|27616|27570|27560|
|45-49|21689|29682|27338|26592|27536|27350|27308|27323|
|50-54|20315|28109|29262|26237|26966|26794|26847|26895|
|55-59|19291|22681|29843|26094|25942|25923|26066|26119|
|60-64|16907|<br>19161|<br>28971|24/1|24291|24672|24766|24782|
|65-69|12374|16438|25079|22254|<br>21921|22667|22&A5|<br>22620|
|70-74|10930|13541|<br>20222|19003|18694|19430|19347|<br>19333|
|75+|13572|16792|<br>26337|32867|30059|30377|30600|30732|
|TOTAL|376186|409840|435749|427271|425869|427813|428240|428472|
|FEMALES|||||||||
|0-4|25671|<br>25804|26841|26649|26680|26711|26721|26722|
|5-9|25722|<br>26487|26621|26564|26689|26723|26723|26719|
|10-14|27986|26371|2632!|26670|26746|26737|26721|26714|
|15-19|29660|26135|<br>16072|26855|26793|26729|26710|26709|
|20-24|31119|26281|26053|26926|26758|26695|26696|26705|
|25-29|30088|28738|26162|26794|26626|26661|26693|<br>26704|
|30-34|29083|30515|26870|26570|26536|26665|26701|26702|
|35-39|28423|31834|26811|26253|26628|26710|26704|26689|
|40-44|24025|30505|26597|25967|26783|26730|2667t|26654|
|45-49|21764|29175|26585|25875|26786|26633|26578|26582|
|50-54|20817|<br>28161|28649|<br>25838|26518|26375|26420|<br>26456|
|55-59|20775|23438|29952|26264|26042|26044|26189|26231|
|60-64|20076|20749|30497|<br>25719|25279|25692|25801|25806|
|65-69|15650|19064|.8019|<br>24585|24132|24966|24963|<br>24923|
|70-74|15248|17547|24706|22792|22352|23240|<br>23174|<br>23148|
|75+|24845|29586|41757|51682|47553|47766|48325|48584|
|TOTAL|390952|420390|448555|442004|438901|441077|441793|442049|
|BIRTH RAtE||13.5|12.6|12.6|12.7|12.7|12.7|12.7|
|DEATH<br>RATE||9.3|10.5|13.3|13.0|12.5|12.6|12.6|
|**NET**MIGRAT|ION<br>RATE|1.1|.4|.0|.0|.0|.0|.0|
|GROWTH<br>RAT|E|.53|.25|-. 07|-.02|.02|.01|.00|
|TOTAL<br>FERT|ILITY|1.814|2.009|2.096|2.064|2.064|2.063|2.063|
|e(O)<br>**-** BOTH|SEXES|76.62|77.67|78.30|78.83|79.00|79.12|79.15|
|**IR-**BOTH S|EXES|11.3|9.4|7.8|6.6|6.4|6.2|6.2|
42 NONREPORTING **1 ENOtEBER** ECONOMIES Population projection (thousands)

|AGE GROLP<br>19QS<br>..<br>. ..................<br>..|<br>1990<br>. ..........................|1995|2000<br>..<br>........................|2005<br>..............................|2010|2015|2020|2025|2030|
|---|---|---|---|---|---|---|---|---|---|
|TOTAL M+F<br>364964|<br>381664|<br>396162|410060|423582|;36506|449528|461755|<br>473595|<br>484097|
|MALES||||||||||
|0-4<br>17121|17937|16867|<br>16598|<br>16965|17469|17862|17923|17795|<br>17731|
|5-9<br>16080|16951|17M5|16727|<br>16472|16840|173'8|17746|17813|<br>17694|
|10-14<br>15024|<br>16006|16881|<br>17711|<br>16672|16418|16787|17297|17697|<br>17767|
|15-19<br>14261|<br>14922|15911|<br>16794|<br>17630|56598|16347|16718|17231|<br>1635|
|20-24<br>16127|<br>14092|14768|<br>15767|<br>16660|17499|16480|16237|16613|<br>17132|
|25-29<br>15962|<br>15880|13908|<br>14601|<br>15610|16505|17347|16347|16113|<br>16497|
|30-34<br>14004|<br>15695|15659|<br>13742|<br>14448|15457|16355|17202|16219|<br>15996|
|35-39<br>10934|<br>13732|15439|<br>15443|<br>13576|14284|15292|16194|17046|<br>16084|
|40-44<br>8874|10663|13442|<br>15156|<br>15196|13373|14082|15090|15996|<br>16854|
|45-49<br>11903|<br>8577|10348|<br>13087|<br>14795|14857|13093|13803|14809|<br>15719|
|50-54<br>9143|11323|8207|9937|12608|14280|14369|12686|<br>13396|<br>14395|
|55-59<br>9120|8494|10581|<br>7712|9370|11918|13531|13652|12083|<br>12786|
|60-64<br>5146|8161|7662|9599|7039|8575|10941|12461|12618|<br>11205|
|65-69<br>3285|4361|6966|6594|8314|6131|7496|9605|10986|<br>11176|
|70-74<br>3433|2553|3425|5511|5264|6675|4959|6091|7848|<br>9027|
|75.<br>3702|3943|3517|3969|5669|6341|7710|7214|7850|<br>9495|
|TOTAL<br>174119|<br>183290|<br>191358|<br>198947|<br>206291|213220|219999|226266|<br>232113|<br>237192|
|FEMALES||||||||||
|0-4<br>16727|<br>17256|16221|<br>15955|<br>16296|16788|17173|17239|<br>17123|<br>17067|
|5-9<br>15497|<br>16589|17126|<br>16107|<br>15854|16199|16695|17085|<br>17158|<br>17051|
|10-14<br>14338|<br>15447|16542|<br>17083|<br>16070|15817|16163|16661|<br>17055|<br>17131|
|15-19<br>13816|<br>14293|15404|<br>16502|<br>17046|16035|15783|16131|<br>16632|<br>17028|
|20-24<br>15599|<br>13757|14238|<br>15352|<br>16453|16999|15992|15743|<br>16093|<br>16598|
|25-29<br>15444|<br>15520|13694|<br>14180|<br>15296|16399|16947|15945|<br>15699|<br>16052|
|30-34<br>13686|<br>15354|<br>5442|13629|<br>14119|15236|16340|16891|<br>15895|<br>15652|
|35-39<br>10954|<br>13587|<br>15259|<br>15357|<br>13559|14051|15168|16273|<br>16828|<br>15839|
|4-44<br>9215|1084|13472|<br>15143|<br>15252|13471|13965|15082|<br>16188|<br>16747|
|45-49<br>12694|<br>9084|10708|<br>13317|<br>14984|15102|13344|13841|<br>14957|<br>16065|
|50-54<br>10261|<br>12423|<br>8906|10514|<br>13095|14748|14879|13157|<br>13659|<br>14773|
|55-59<br>11622|<br>9925|12051|<br>8655|10238|12770|14401|14549|12881|<br>13388|
|60-64<br>8629|1C1|* 9452|11512|<br>8291|9826|12283|13879|<br>14051|<br>12463|
|65-69<br>s986|7904|10153|<br>8740|10691|7723|9179|11511|13047|<br>13251|
|70-74<br>7140|<br>5140|6838|8839|7654|9408|6828|8152|10272|<br>11695|
|75.<br>9237<br>|10220<br> <br>|<br>9298<br> <br>|10228<br> <br>|<br>12391<br> <br>|12714<br>|14388<br>|13347<br>|<br>13945<br> <br>|<br>16107<br> <br>|
|TOTAL<br>190845|<br>198374|<br>204804|<br>211113|<br>217292|223286|229529|235489|<br>241482|<br>246905|
|BIRTH RATE|19.6|17.6|16.7|16.4|16.4|16.2|15.8|15.3|14.8|
|DEATH RATE|10.6|10.1|9.7|9.9|10.3|10.3|10.4|i0.2|10.5|
|RATE OFMAT.INC.|.90|.75|.69|.65|.60|.59|.54|.51|.44|
|**NET**MIGRATION<br>RATE|-. 1|**.. 1**|-. 0|**-.0**|-. 0|-. 0|.0|.0|.0|
|GROWTH<br>RATE|.89|.75|.69|.65|.60|.59|.54|.51|.44|
|TOTAL FERTILITY|2.520|2.364|2.300|2.275|2.250|2.238|2.233|2.221|2.203|
|NRR|1.168|1.093|1.073|1.067|1.054|1.049|1.050|1.052|1.047|
|**e(0)**- BOTH SEXES|69.09|70.18|71.16|72.05|72.u|72.89|73.35|73.83|74.34|
|**e(1O)**- BOTH SEXES|61.60|62.47|63.17|63.79|64.15|64.53|64.93|65.34|65.78|
|**IHR**- BOTH SEXES|32.4|30.2|27.5|24.1|22.9|21.8|20.8|19.7|18.2|
|q(5)-BOTH SEXES|0428|0403|0369|0320|0305|0290|0276|0260|0238|
|<br>DEP. RATIO<br>53.7|.<br> <br>54.3|.<br> <br>55.6|.<br> <br>54.2|.<br> <br>53.9|.<br>51.6|.<br>51.4|.<br> <br>53.0|.<br> <br>55.3|.<br> <br>56.7|
43

# IIOSIREPORTING NONMEMSER ECONMIES

# Poputation projection (thousands)

# Sumary for 25 Year Periods

|, ..........................................<br>AGE GROU|.............<br>1965|ZJOO|.....................<br> <br>2025|........<br>2050|...................................<br>2075|2100|<br>2125|......<br> <br>2150|
|---|---|---|---|---|---|---|---|---|
|....<br>.....<br>_. ........|<br>.<br>.|.<br>.<br>.<br>.<br>.<br>.|.<br>.<br>.<br>.<br>.<br>.|.<br>.<br>.<br>.<br>.<br>.|.<br>.<br>.<br>.<br>.<br>.|.<br>.<br>.<br>.<br>.<br>.|.<br>.<br>.<br>.<br>.<br>.|.<br>.<br>.<br>.<br>.|
|TOTAL<br>M.F|364964|<br>410060|<br>473595|<br>515335|<br>538051|<br>548084|<br>551753|<br>553281|
|MALES|||||||||
|0-4|17121|<br>16598|<br>17795|<br>17719|<br>17763|<br>17772|<br>17M|_l(75_|
|5-9|16080|<br>16727|<br>178#3|<br>17808|<br>17745|<br>17743|<br>17745|<br>17354|
|10-14|15024|<br>17711|<br>17697|<br>17780|<br>17703|<br>lmO|lmO|17739|
|15-19|14261|<br>16794|<br>17231|<br>17631|<br>17626|<br>17671|<br>17708|<br>17718|
|20-24|16127|<br>15767|<br>16613|<br>17495|<br>17535|<br>17635|<br>17676|<br>17684|
|25-29|15962|<br>14601|<br>16113|<br>17453|<br>17532|<br>17608|<br>17637|<br>17643|
|30-34|14Q04|<br>13742|<br>16219|<br>17463|<br>17596|<br>17569|<br>17586|<br>17598|
|35-39|1C934|<br>15443|<br>17046|<br>17264|<br>17515|<br>17483|<br>17515|<br>17542|
|40-44|8874|15156|<br>15996|<br>16695|<br>17293|<br>17342|<br>17418|<br>17463|
|45-49|11903|<br>13087|<br>14809|<br>15936|<br>17026|<br>17133|<br>17270|<br>17321|
|50-54|9143|9937|13396|<br>15177|<br>16718|<br>16882|<br>17005|<br>17049|
|55-59|9120|7712|12083|<br>14759|<br>16217|<br>16454|<br>16497|<br>16535|
|60-64|5146|9599|12618|<br>14592|<br>15171|<br>15534|<br>15598|<br>15656|
|65-69|3285|6594|10986|<br>12362|<br>13361|<br>14010|<br>14171|<br>14272|
|70-74|3433|5511|7848|9674|10905|<br>11842|<br>12061|<br>12203|
|75,|3702|3969|7850|12828|<br>16256|<br>182?"|<br>19064|<br>19338|
|TOTAL|174119|<br>198947|<br>232113|<br>252636|<br>263961|<br>268680|<br>270453|<br>271290|
|FEMALES|||||||||
|0-4|16727|<br>15955|<br>17123|<br>17065|<br>17095|<br>17082|<br>17074|<br>17071|
|5-9|15497|<br>16107|<br>17158|<br>17176|<br>17106|<br>17077|<br>17069|<br>17069|
|10-14|14338|<br>17083|<br>17055|<br>17163|<br>17086|<br>17063|<br>17065|<br>17068|
|15-19|13816|<br>16502|<br>16632|<br>17044|<br>17040|<br>17052|<br>17064|<br>17068|
|20-24|15599|<br>15352|<br>16093|<br>16955|<br>16994|<br>17056|<br>17067|<br>17067|
|25-29|15444|<br>14180|<br>15699|<br>16965|<br>17030|<br>17074|<br>17070|<br>17064|
|30-34|13686|<br>13629|<br>15895|<br>17028|<br>17134|<br>17081|<br>17061|<br>17055|
|35-39|10954|<br>15357|<br>16828|<br>16899|<br>17102|<br>17049|<br>17038|<br>17043|
|40-44|9215|15143|<br>16188|<br>16433|<br>16952|<br>16980|<br>17009|<br>17026|
|45-49|12694|<br>13317|<br>14957|<br>15823|<br>16802|<br>16886|<br>16972|<br>16989|
|50-54|10261|<br>10514|<br>13659|<br>15307|<br>16699|<br>16827|<br>16905|<br>16911|
|55-59|11622|<br>8655|12881|<br>15285|<br>16562|<br>16752|<br>16752|<br>16748|
|60-64|8629|11512|<br>14051|<br>15789|<br>16092|<br>16404|<br>16431|<br>16446|
|65-69|5986|8740|13047|<br>14490|<br>15021|<br>15658|<br>15799|<br>15865|
|70-74|7140|8839|<br>10272|<br>12218|<br>13333|<br>14375|<br>14610|<br>14740|
|75+|(237|10228|<br>13945|<br>21060|<br>26073|<br>28989|<br>30309|<br>30762|
|TOTAL|190845|<br>211113|<br>241482|<br>262699|<br>274120|<br>279404|<br>281295|<br>281991|
|BIRTH RATE||17.9|16.0|14.3|13.3|12.9|12.7|12.7|
|DEATH RATE||10.1|10.2|10.9|11.6.|12.2|12.5|12.6|
|NETMIGRAT|ION<br>RATE|-. 0|-.0|.0|.0|.0|.0|.0|
|GR0WTH<br>RAT|E|.78|.58|.34|.17|.07|.03|.0,|
|TOTAL FERT<br>|ILITY<br> <br>|2.399<br>|2.243<br>|2.143|2.064|2.059|2.057|2.056|
|e(O) - BOT|H<br>SEXES|70.17|72.94|75.52|77.65|78.36|78.90|79.04|
|<br>IPR- BOTH|SEXES|30.1|21.8|14.9|9.3|7.7|6.7|6.5|
# AFRICA REGION

(Sub-Saharan)
46

|SLUB-SAHAR<br> <br>..............................|AN<br>AFRICA<br>...................|.....................................|Popu<br>......................................|lation<br>projec<br>....................|tion<br>(thousan|ds)|||||
|---|---|---|---|---|---|---|---|---|---|---|
|AGE**GROUP**|<br>1985|<br>1990|1995|2000|2005|2010|2015|2020|2025|2030|
|,,,,,,,,,,,,,,,,,,,,,,...............|................................|......................................|.....||||_....|...............|||
|TOTAL M+F|456798|533617|620314|720468|<br>833663|956042|<br>1086080|1221419|1359219|<br>1495227|
|MALES|||||||||||
|0-4|42968|49711|55660|63494|71267|77168|82327|86335|88961|89507|
|5-9|34214|<br>40371|47088|53183|61190|68912|74866|80128|84297|87144|
|10-14|28267|33538|39668|46377|52497|60462|68163|74132|<br>79427|<br>83649|
|15-19|23784|27760|32984|39065|45726|51814|59738|67421|73406|<br>78735|
|20-24|19592|23191|27112|32246|38227|44819|50867|58743|<br>66409|72427|
|25-2'|16068|18993|<br>22529|26362|31378|37283|43801|49816|57653|<br>65317|
|30-34|13165|15541|<br>18412|21863|25604|30548|3638|42840|48834|56645|
|35-39|10917|12684|15008|17801|21160|24846|29717|35487|41888|47866|
|40-44|9060|10444|12166|14416|17118|20410|24034|28829|34527|40867|
|45-49|7552|8578|9915|11570|13728|16355|19565|23113|27813|33419|
|50-54|6173|7037|8015|9283|10851|12923|15452|18553|21996|<br>26563|
|55-59|4917|5615|6422|7330|8505|9985|11942|14336|17284|<br>20573|
|60-64|3757|4306|4938|5662|6476|7552|8912|10708|12914|<br>15643|
|65-69|2704|3096|3567|4104|4720|5432|6373|7567|9145|11092|
|70-74|1752|2024|2333|2701|3119|3616|4193|4958|5933|7224|
|75+|1510|1741|2031|2366|2762|3242|3819|4507|5385|6514|
|TOTAL|226398|264631|307847|357822|414329|475367|540150|607473|675875|743185|
|FEMALES|||||||||||
|0-4|42550|49206|54999|62628|70166|75958|81020|84948|87518|88042|
|5-9|34053|40111|46769|52732|60558|68076|73940|79119|83217|86007|
|10-14|28189|**33395**|39439|46103|52107|59902|67412|73300|78521|82678|
|15-19|23713|27707|32878|38890|45524|51507|59279|66787|72705|77973|
|20-24|19610|23221|27171|32278|38225|44811|50m|58527|66044|72010|
|25-29|16488|19128|22683|26568|31591|37488|44026|49979|57720|65258|
|30-34|13686|16026|18623|22110|25925|30894|36744|43240|49190|56929|
|35-39|11446|13251|15547|18089|21502|<br>25274|30190|35996|42457|48410|
|40-44|9540|11031|12797|15035|17517|20879|24606|29469|<br>35232|41658|
|45-49|7970|9144|10594|12309|14482|16921|20227|23905|28707|34418|
|50-54|6589|7564|8695|10089|11742|13862|16248|19484|23098|27824|
|55-59|5351|6140|7067|8138|9461|11058|13108|15425|18568|22097|
|60-64|4170|4833|-5565|6422|7412|8664|10184|12138|14358|17372|
|65-69|3075|3570|4158|4804|5562|6468|7617|9022|10833|12907|
|70-74|2055|2413|2820|3300|3830|4480|5261|6258|7490|9083|
|75'<br>|1915|2247|2663|3151|3730|4431|5293|6348|7685|9376|
|TOTAL|230400|268987|312467|362646|419334|480675|545929|613947|683344|752042|
|BIRTH RATE||46.4|43.9|42.3|40.2|37.5|34.8|32.0|29.3|26.4|
|OEATH<br>RATE||15.2|13.7|12.3|11.0|101|9.3|8.5|7.9|7.3|
|RATE OF NA|T. INC.|3.12|3.01|3.00|2.92|2.74|2.55|2.35|2.14|1.91|
|NETMIGRA|TION<br>RATE|-. 1|-. 0|-.0|-. 0|-. 0|-. 0|.0|.0|.0|
|GROUTH<br>RAT|E|3.11|3.01|2.99|2.92|2.74|2.55|2.35|2.14|1.91|
|TOTAL FERT|ILITY|6.409|6.138|5.836|5.438|4.949|4.469|4.000|3.553|3.134|
|NRR||2.369|2.332|2.286|2.202|2.038|1.872|1.709|1.547|1.387|
|**e(O)**<br>**-**BOT|SEXES|5160|5344|5530|5716|5853|5994||||
|<br>||.|.|.|.|.|.|61.40|62.91|64.49|
|**e(10)**B<br>BOT|HSEXES|53.55|54.18|54.65|55.09|55.94|56.81|57.72|58.66|59.63|
|IMR**-** BOTH|SEXES|111.4|101.3|89.8|77.5|71.6|65.9|60.3|54.5|48.6|
|q(S)**-** 8OT|HSEXES|.1758|.1581|.1379|.1164|.1072|.0982|0893|0801|0707|
|<br>DEP.RATIO|<br> <br>95.6|<br> <br>96.0|<br>94.4|<br>91.9|<br>88.5|<br> <br>84.6|<br>79.3|.<br>73.3|.<br> <br>67.6|.<br> <br>62.2|
47

# SU8-SAHARAN AFRICA

# Population projection (thousands)

# SLu_ry for 25 Year Periods

|AGE GROJP|1985|2000|2025|2050|2075|2100|2125|2150|
|---|---|---|---|---|---|---|---|---|
|..........................................|.................................|..............................|||||||
|TOTAL<br>N+F|456798|720468|1359219|1986039|2440850|2634167|2688748|2710013|
|MALES|||||||||
|**0"4**|42968|<br>63494|896l|85s7s|86318|<br>86589|86699|36739|
|5-9|34214|53183|K4297|85563|86255|<br>86507|86590|86621|
|10-14|28267|46377|79427|86235|86346|86385|86474|86523|
|15-19|23784|39065|73406|<br>86319|<br>86067|86075|36282|86388|
|20-24|19592|32246|66409|86419|85123|85622|86035|86207|
|25-29|16068|<br>26362|57653|84594|84328|85261|85844|86017|
|30-34|13165|<br>21863|48834|80650|83902|85101|85651|85804|
|35-39|10917|17801|41888|75272|84156|<br>84901|85318|85493|
|40-44|9060|14416|34527|68645|83671|84216|84695|85009|
|45-49|7552|11570|27813|61078|82869|82600|83659|84206|
|50-54|6173|9283|21996|51656|79473|80468|82083|82844|
|55-59|4917|7330|17284|41808|72920|77480|79541|80338|
|60-64|3757|5662|12914|33281|63722|73328|75235|75998|
|65-69|2704|4104|914S|<br>24350|52155|66122|68137|<br>69043|
|70-74|1752|2701|5933|16176|38907|55682|<br>57324|58683|
|75.|1510|2366|5385|15218|41831|76654|87649|91804|
|TOTAL|226398|<br>357822|675875|983143|1198044|1282991|<br>1307216|<br>1317717|
|FEMALES|||||||||
|0-4|42550|62628|87518|84419|<br>84667|84712|84725|<br>84703|
|5-9|34053|52732|83217|84354|84824|84791|84728|<br>84688|
|10-14|28189|46103|78521|85159|85069|84801|84694|84667|
|15-19|23713|38890|72705|<br>85436|85005|84674|84625|84649|
|20-24|19610|32278|66044|85839|84378|84482|84569|84647|
|25-29|16488|26568|57720|<br>84364|83884|84409|84619|84656|
|30-34|13686|22110|<br>49190|80736|83755|84535|84671|84638|
|35-39|11446|18089|42457|75667|84331|84659|84620|84555|
|40-44|9540|15035|35232|69388|84256|84394|84376|84390|
|45-49|7970|12309|28707|62271|84074|83406|83931|841|
|50-54|6589|10089|23098|53501|81664|82254|83360|83723|
|55-59|5351|8138|18568|44412|76623|80969|82567|82948|
|60-64|4170|6422|<br>14358|36739|69468|79524|81058|81408|
|65-69|3075|4804|10833|28322|60029|75830|77709|78285|
|70-74|2055|3300|7490|20166|48275|69132|70972|72282|
|75.|1915|3151|7685|22123|<br>62504|118602|140306|<br>147943|
|TOTAL|230400|362646|683344|1002896|1242806|<br>1351176|<br>1381532|<br>1392297|
|BIRTH RATE||44.0|34.1|21.6|15.6|13.6|12.9|12.8|
|DEATH<br>RATE||13.6|9.2|6.6|7.5|10.5|12.1|12.5|
|NET NIGRAT|ION<br>RATE|-. 0|-. 0|.0|.0|.0|.0|.0|
|GROWTH<br>RAT|E|3.04|2.54|1.52|.82|.30|.08|.03|
|TOTAL FERT|ILITY|6.097|4.338|2.529|2.073|2.052|2.041|2.040|
|eCO)**-**BOT|H<br>SEXES|53.63|60.35|68.17|74.33|76.64|78.30|78.73|
|<br>**IMR**- BOTH|SEXES|100.1|65.4|36.9|16.6|11.0|7.5|6.9|
48

|SUB-SAHAR<br>.....................................|**A**N<br>FRICA,**B**<br>................................|**ORROIERS**<br>ONLY<br>........................................|<br>Poputa<br>.....................|tion projecti|on (thousan|ds)|||||
|---|---|---|---|---|---|---|---|---|---|---|
|AGE GRUP|1985|1990|1995|2000|2005|2010|2015|2020|2025|2030|
|........................||...................................|................|||_.....|_.....|..............|||
|TOTAL**H+F**|414755|485911|566471|659839|765833|880938|1003784|1132151|1262940|1391896|
|MALES|||||||||||
|0-4|30486|45962|51643|59104|66605|72373|<br>77472|<br>81479|83963|84350|
|5-9|313 1|37033|43472|49287|56911|64361|70177|75372|79534|82230|
|10-14|25784|<br>30735|36369|42798|48636|56220|63650|69480|<br>74706|78917|
|15-19|21600|25311|30214|35800|42181|47988|55533|62944|68788|74046|
|20-24|17731|210 8|24703|29518|35007|41320|47088|54587|61981|67855|
|25-2i2|14494|17174|20428|23997|28696|34113|40352|46089|53551|60941|
|30-34|11840|<br>14006|16631|19803|23281|27911|33260|39440|45156|52593|
|35-39|9840|11396|13511|16C60|19141|22566|<br>27126|32414|38538|44237|
|40-44|8140|<br>9405|10918|12961|15421|18438|21804|26290|31511|37574|
|45-49|6769|7701|8919|10369|12322|14712|17652|209;6|25340|30475|
|50-54|5519|6303|7188|8339|9707|11581|13879|16718|19912|<br>24179|
|55-59|4383|5018|5746|6564|7627|8918|10685|12859|15554|18603|
|60-64|3334|3837|4408|5059|5789|6761|7946|9566|<br>11567|14058|
|65-69|2389|2746|3175|**3658**|4208|4846|**5695**|**6733**|8155|9917|
|70-74|1538|1788|<br>2067|<br>2399|2772|<br>3215|3731|4420|5267|6427|
|75.|1313|1521|1782|2081|2434|2860|3372|<br>3983|<br>4767|5755|
|TOTAL|205532|240984|281176|327797|380739|<br>438183|499422|563319|628289|692157|
|FEMALES|||||||||||
|0-4|39114|45498|51033|58299|65577|71239|76241|80168|82599|82968|
|5-9|31230|36806|43182|48873|<br>56326|63582|69310|74424|78514|81157|
|10-14|25734|30608|36170|42549|48278|55702|62950|68701|73854|<br>78000|
|15-19|21557|25280|30117|35646|41994|47704|55105|62351|68130|73328|
|20-24|17755|21092|24770|29544|35009|41310|47002|54384|61637|67462|
|25-29|14899|17300|20581|24195|28886|34303|40556|46237|53609|60882|
|30-34|12335|14465|16823|20036|23580|28219|33590|39803|<br>45480|52851|
|35-39|10338|11928|14013|16317|19458|22961|27548|32877|39054|44734|
|40-44|8587|9950|11503|13532|15775|18868|22328|26864|32151|38293|
|45-49|7150|8221|9543|11047|13013|15217|18255|21667|26145|31382|
|50-54|5891|6777|7805|9074|10519|12435|14590|17561|20912|25316|
|55-59|4766|5482|6321|7292|8491|9887|11737|<br>13828|16711|19981|
|60-64|3697|4297|-4957|5729|6623|7756|9083|10844|<br>12844|15605|
|65-69|2713|3156|3685|4264|4943|5758|<br>6795|<br>8020|9649|11514|
|70-74|1801|2120|2482|2909|3381|3961|4661|5558|6629|8058|
|75+|1658|1947|2311|2736|3240|3854|4611|5545|6733|s209|
|TOTAL|209223|244927|285295|332042|385094|442755|504362|568831|<br>634650|699739|
|BIRTH RAT|E|47.3|44.7|43.1|41.0|38.3|35.5|32.7|29.8|26.8|
|DEATH RAT|E|15.5|14.0|12.6|11.2|10.2|9.4|8.6|7.9|7.3|
|RATE OF NA|T. INC.|3.18|3.07|3.06|2.98|2.80|2.61|2.41|2.19|1.95|
|NET MIGRA|TION<br>RATE|-1|-1|-0|-0|- 0|-0|-0|0|0|
|<br>GROUTH<br>RAT|<br> <br>E|.<br>3.17|.<br>3.07|.<br>3.05|.<br>2.98|.<br>2.80|.<br>2.61|.<br>2.41|.<br>2.19|.<br>1.94|
|TOTAL FERT|ILITY|6.571|6.300|5.992|5.58s|5.084|4.586|4.097|3.623|3.175|
|NRR||2.413|2.378|2.334|2.250|2.084.|1.915|1.745|1.573|1.403|
|**e(O)-** BOT|H SEXES|51.05|52.85|54.69|56.56|57.99|59.47|60.99|62.56|64.18|
|**e(10)-** BO|TH SEXES|53.30|53.87|54.30|54.71|55.60|56.51|57.45|58.42|59.43|
|**IHR-** BOTH|SEXES|113.1|l03.0|91.3|8.7|72.6|66.7|60.9|55.1|49.2|
|q(5)- BOT|H SEXES|.1790|.1610|.1405|.1184|.1088|**.0996**|.0904|.0810|.0715|
|<br>DEP. RATIO|<br> <br>96.9|<br>97.5|<br>95.9|<br>93.6|<br>90.3|<br>86.3|<br>**80.8**|<br>74.6|<br>68.7|62.9|
49 PopuLation projection (thousands)

# SUB-SAHARAN AFRICA, BORROWERS ONLY

Sumnary for 25 Year Periods

|.<br>**.**_**.**<br>.. ..................<br>AGE GROJP|1985|..<br>..<br>...<br>..<br> <br>2000|..........<br>........<br>2025|.........<br>2050|......<br>...........<br>2075|...............<br>2100|2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL M+F|414755|659839|1262940|<br>1858401|<br>2294077|2479944|2532131|<br>2552397|
|KALES|||||||||
|0-4|39486|59104|83963|80960|81309|81555|81662|8.,703|
|5-9|31371|49287|<br>79534|80559|81222|81474|B1561|<br>31593|
|10-14|25784|42798|74706|81152|81299|8.366|81455|81501|
|1-4-9|21600|35800|68788|81228|81064|81088|81277|81373|
|20-24|17731|29518|61981|81412|80228|80665|81039|81199|
|25-29|144Y4|23997|53551|79802|79486|80309|80852|81019|
|30-34|11840|19803|45156|76056|78983|80129|80666|80819|
|35-39|9840|16060|38538|70744|79181|79932|80359|80530|
|40-44|8140|12961|31511|64256|78718|79312|79785|80076|
|45-49|6769|10369|25340|56922|78046|77839|78812|79315|
|50-54|5519|8339|19912|47888|74943|75833|77311|78023|
|55-59|4383|6564|15554|38559|68729|72920|74888|75659|
|60-64|3334|<br>5059|<br>11567|<br>30514|<br>59835|<br>68969|<br>70823|<br>71576|
|65-69|2389|<br>3658|<br>8155|<br>22119|<br>48749|<br>62176|<br>64157|<br>65034|
|70-74|1538|<br>2399|<br>5267|<br>14651|<br>36177|<br>52405|<br>54005|<br>55276|
|75+|1313|<br>2081|<br>4767|<br>13592|<br>38436|<br>72045|<br>82487|<br>86426|
|TOTAL|205532|327797|628289|920412|1126404|<br>1208018|<br>1231138|<br>1241122|
|FEMALES|||||||||
|0-4|39114|<br>58299|<br>82599|<br>79581|<br>79752|<br>79784|79800|79781|
|5-9|31230|48873|78514|79420|79873|79855|79804|79768|
|10-14|25734|42549|73854|80140|80095|79872|79776|79749|
|15-19|21557|35646|68130|80396|80063|79766|79714|79731|
|20-24|17755|29544|61637|80865|79527|79591|79657|79727|
|25-29|14899|24195|53609|79583|79070|79506|79696|79734|
|30-34|12335|20036|45480|76134|78848|79598|79742|79719|
|35-39|10338|16317|39054|71112|79349|79705|79701|79644|
|40-44|8587|15532|32151|64947|79271|79482|79484|79491|
|45-49|7150|<br>11047|<br>26145|<br>58027|<br>79183|<br>78601|<br>79069|<br>79228|
|50-54|5891|9074|20912|49592|77009|77520|78513|78850|
|55-59|4766|7292|16711|40952|72216|76206|7Tm 8|78115|
|60-64|3697|5729|12844|33670|65224|74798|76304|76670|
|6!-69|2713|4264|9649|25706|56096|71302|73170|73738|
|70-74|1801|2909|6629|18227|44861|65054|66859|68083|
|75+|1658|<br>2736|<br>6733|<br>19636|<br>57237|<br>111285|<br>131968|<br>139246|
|TOTAL|209223|<br>332042|<br>634650|<br>937988|<br>1167673|<br>1271926|<br>1300992|<br>1311275|
|BIRTH RATE||44.8|34.7|21.8|15.7|13.6|13.0|12.8|
|DEAT'i RATE||13.9|9.3|6.6|7.4.|10.5|12.1|12.5|
|NET NIGRATI|ON RATE|-.1|-. 0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE||3.10|2.60|1.55|.84|.31|.08|.03|
|TOTAL FERTI|LITY|6.256|4.441|2.542|2.073|2.052|2.042|2.040|
|eCO)- BOTH|SEXES|53.05|59.90|67.96|74.25|76.60|78.28|78.72|
|INR-<br>BOTH S|EXES|101.7|66.2|37.3|16.7|11.1|7.5|6.9|
so

|OCCIDENTAL AND CENTRA<br>,,,,,,,,,,,,,_,.....................................................................|L**AFR!CA**DEP<br>..............................................|ARTMENT<br>(AFI)|**Populat**|**lon**projection|(thousands|)||||
|---|---|---|---|---|---|---|---|---|---|
|AGE GROLP<br>1985|1990|1995|2000|2005|2010|2015|2020|2025|<br>2030|
|......................................................................................|............................................|||||||||
|TOTAL**M+F**<br>39588|46735|54442|63320|73664|85024|97256|110123|<br>123363|<br>136547|
|MALES||||||||||
|0-4<br>3608|4457|4907|5623|6495|7141|7711|8144|8443|<br>8531|
|5-9<br>2807|3411|4239|4703|5433|6294|6939|7517|7964|<br>8281|
|10-14<br>2311|2761|3357|4177|4644|5369|6224|6871|7451|<br>7902|
|15-19<br>1966|2279|2722|3309|4120|4584|5303|6155|6802|<br>7385|
|20-24<br>1570|<br>1943|2241|2672|3244|4040|4498|5213|6062|<br>6710|
|25-29<br>1330|1558|1908|2194|2610|3167|3946|4402|5114|<br>5960|
|30-34<br>1185|1318|1528|1864|2137|2544|<br>3089|3856|4313|<br>5022|
|35-39<br>1038|1165|1286|1486|1808|2075|2474|3010|<br>3767|<br>4225|
|40-44<br>846|1008|1125|1240|1430|1743|2004|2397|2925|<br>3672|
|45-49<br>741|809|960|<br>1071|<br>1160|1365|1667|1924|2310|<br>2827|
|50-54<br>612|694|757|898|_1002_|<br>1108|1286|1578|1827|<br>2204|
|55-59<br>503|558|633|690|820|919|1020|1190|1466|<br>1706|
|60-64<br>382|440|490|556|607|<br>725|817|<br>911|1069|<br>1324|
|65-69<br>278|315|364|405|461|506|609|690|775|<br>915|
|70-74<br>179|209|237|274|306|351|389|471|539|610|
|75+<br>147|176|208|240|279|320|371|424|508|598|
|TOTAL<br>19504|<br>23100|26961|31403|36577|42249|48346|54753|61335|67875|
|FEMALES||||||||||
|0-4<br>3624|4417|4855|5552|6402|7036|7595|8020|8313|8398|
|5-9<br>2893|3439|4216|4670|5384|6225|<br>6861|<br>7429|7869|<br>8180|
|10-14<br>2349|2847|3387|4159|4616|5326|6163|6801|7373|<br>7818|
|15-19<br>1971|2316|2807|3342|4107|4563|5269|6105|6745|7321|
|20-24<br>1586|1945|2281|2763|3288|4042|4496|5200|6035|6679|
|25-29<br>1425|1565|1911|2237|2707|3224|3968|4422|5125|5961|
|30-34<br>1243|1398|1531|1867|2184|2646|3156|3893|4348|5052|
|35-39<br>1087|1212|1360|1489|1814|2126|2582|3086|3818|4275|
|40-44<br>882|1052|1171|1315|1439|1758|2065|2516|3016|3741|
|45-49<br>761|846|1009|1124|1263|1386|1698|2001|2447|2941|
|50-54<br>628|721|803|959|1069|1204|1327|1631|1929|<br>2367|
|55-59<br>529|584|672|749|895|<br>1002|1134|1255|1550|<br>1841|
|60-64<br>416|477|-<br>527|607|678|815|918|1045|1163|1445|
|65-69<br>307|356|408|452|522|587|712|809|928|1041|
|70-74<br>203|241|280|322|358|i7|474|581|667|774|
|75+<br>182<br>|219|263|310|362|417|491|575|702|839|
|TOTAL<br>20084|23634|27481|31917|37087|42775|48910|55370|62028|68672|
|BIRTH RATE|47.2|43.7|42.3|41.2|38.8|36.2|33.4|30.5|27.5|
|DEATH RATE|15.5|14.0|12.6|11.3|10.3|9.4|8.6|7.8|7.2|
|RATE OF NAT. INC.|3.18|2.97|2.97|3.00|2.85|2.69|2.48|2.27|2.03|
|NET hiGRATION RATE|14|8|5|3|1|0|0|0|0|
|<br>GROWTH<br>RATE|.<br>3.32|.<br>3.05|.<br>3.02|.<br>3.03|.<br>2.87|.<br>2.69|.<br>2.49|.<br>2.27|.<br>2.03|
|TOTALFERTILITY|6.596|6.328|6.054|5.768|5.261|4.753|4.247|3.759|3.285|
|NRR|2.463|2.422|2.391|2.349|2.180|2.006|1.827|1.645|1.461|
|**e(O)**- BOTH SEXES|51.83|53.45|55.19|57.00|58.44|59.93|61.45|63.01|64.62|
|**e(10)**- BOTH SEXES|53.29|53.74|54.09|54.48|55.42|56.38|57.37|58.38|59.43|
|**IMR**- BOTH SEXES|106.4|96.0|84.0|71.7|66.1|60.6|55.2|49.8|44.6|
|q(5) -BOTH SEXES|.1668|1492|1287|1078|0988|0901|0815|0730|0645|
|<br>DEP. RATIO<br>91.2|<br>95.6|.<br>96.4|.<br>95.2|.<br>91.8|.<br>88.8|.<br>84.5|.<br>78.2|.<br> <br>71.7|.<br> <br>65.2|
51 OCCIDENTAL ANW CENTRAL AFRICA DEPARTMENT (AFI) Populetion projection (thousindas) _

# Suwary for 25 Year Periods

|....................................................<br>AGE GROJP|........................................<br>1985|.............<br>2000|2025|2050|2075|2100|2125|2150|
|---|---|---|---|---|---|---|---|---|
|....................................................|.........||||.....................................|..................................................|...||
|TOTAL**14F**|39588|63320|123363|184606|230449|250110|255094|257062|
|HALES|||||||||
|0-4|3608|5623|8"43|8053|8166|8211|8222|824|
|5-9|2807|4703|7964|**8096**|8189|8212|8212|8212|
|10-14|2311|4177|7451|8246|8227|8200|8197|8201|
|15-19|1966|3309|6802|8253|8195|8156|8174|8188|
|20-24|1570|2672|<br>6062|8246|8036|8097|<br>8151|<br>8173|
|25-29|1330|2194|5114|8040|7910|8067|<br>8141|8157|
|30-34|1185|1864|4313|<br>7619|7944|8081|8131|8138|
|35-39|1038|1486|3767|7059|8052|8091|8099|8104|
|40-44|846|<br>1240|2925|6358|8005|8020|8026|8054|
|45-49|741|1071|2310|5570|7913|7801|7912|7978|
|50-54|612|898|1827|<br>4576|7560|7551|7768|7857|
|55-59|503|690|1466|3685|6898|7342|7555|7628|
|60-64|382|556|1069|2963|5986|7024|7173|7215|
|65-69|278|405|775|2052|4840|6336|6493|6544|
|70-74|179|274|539|1339|3557|5329|5418|5552|
|75+|147|240|508|1265|3703|7272|8302|8714|
|TOTAL|19504|31403|61335|91440|113180|<br>121790|123973|<br>124938|
|FEMALES|||||||||
|0-4|3624|5552|8313|7922|8016|8039|8042|8038|
|5-9|2893|4670|7869|7990|8059|8056|8042|8035|
|10-14|2349|4159|7373|8149|8111|8056|8035|8032|
|15-19|1971|3342|6745|8174|8099|8029|8024|8030|
|20-24|1586|2763|6035|8196|7971|7995|8019|8032|
|25-29|1425|2237|5125|8023|7873|7992|8031|8035|
|30-34|1243|1867|4348|7632|7935|8032|8045|8034|
|35-39|1087|1489|3818|7101|8072|8073|8039|8022|
|40-44|882|1315|3016|6430|8064|8042|8001|8002|
|45-49|761|1124|2447|5680|8031|7881|79"4|7976|
|50-54|628|959|1929|4739|7-77|7722|7894|7946|
|55-59|529|749|1550|3912|720|7675|7847|7882|
|60-64|416|607|1163|3287|6526|**.76**|**19**<br>M2|ms|
|65-69|307|452|928|2406|5569|7267|7409|7425|
|70-74|203|322|667|1705|4410|6617|6711|6844|
|75+|182|310|702|1819|5510|11224|13308|14057|
|TOTAL|20084|31917|62028|93166|117269|<br>128320|131121|132124|
|BIRTH RATE||44.1|35.3|22.2|15.8|13.6|12.9|12.8|
|DEATH RATE||13.8|9.2|6.3|7.1|10.3|12.1|12.5|
|NETNIGRATI|ONRATE|.9|.1|.0|.0|.0|.0|.0|
|GROWTH RATE||3.13|2.67|1.61|.89|.33|.08|.03|
|TOTAL FERTI|LITY|6.293|4.593|2.575|2.067|2.051|2.040|2.039|
|etO)**-** BOTH|SEXES|53.66|60.36|68.34|74.46|76.73|78.33|78.74|
|<br>**IHR-** BOTH S|EXES|94.7|60.0|31.2|16.2|10.9|7.4|6.9|
52

|EASTERN<br>AFRICA DEPART<br>.....................................................................|MENT<br>(AF2)<br>......................................|Popula<br>.......................|tion projec|tion (thousan|ds)|||||
|---|---|---|---|---|---|---|---|---|---|
|AGE GR OUP<br>1985|<br>1990|<br>1995|2000|<br>2005|<br>2010|2015|2020|2025|<br>2030|
|.....................................................................|......................................|.......................||||||||
|TOTAL M+F<br>105526|<br>123708|<br>144549|169009|<br>196361|226298|<br>258613|<br>292748|<br>327742|<br>362391|
|MALES||||||||||
|0-4<br>9804|11776|<br>13327|15416|<br>17181|18768|<br>20273|21518|<br>22293|<br>22473|
|5-9<br>8252|9192|11128|12704|<br>14827|16592|<br>18193|<br>19722|<br>21004|<br>21834|
|10-14<br>6678|8104|9049|10978|<br>12559|14672|<br>16434|<br>18037|<br>19570|<br>20861|
|15-19<br>5572|6559|7976|8916|<br>10831|12404|<br>14507|<br>16266|<br>17871|<br>19409|
|20-24<br>4652|5419|6401|7795|<br>8723|10617|<br>12S80|<br>14269|<br>16027|<br>17637|
|25-29<br>3817|4488|5256|6218|<br>7580|8503|10375|<br>11929|<br>14006|<br>15765|
|30-34<br>3144|3673|4343|5094|<br>6032|7375|8293|10144|<br>11692|<br>13760|
|35-39<br>2569|3014|3539|4192|<br>4922|5847|7168|8082|9913|<br>11455|
|40-44<br>2088|2447|2885|3393|<br>4024|4741|5649|6946|7855|<br>9663|
|45-49<br>1688|<br>1971|<br>2319|2738|<br>3224|3838|4537|5424|6692|<br>7592|
|50-54<br>1393|<br>1570|<br>1838|2166|<br>2560|3027|3617|4292|5151|<br>6380|
|55-59<br>1098|<br>1263|<br>1428|1675|<br>1976|2347|2787|3346|3987|<br>4804|
|60-64<br>829|958|1106|1252|<br>1470|1744|2083|2486|3000|<br>3592|
|65-69<br>592|679|788|912|1034|1221|1459|<br>1755|2109|<br>2561|
|70-74<br>385|439|506|589|<br>683|781|930|1122|<br>1361|<br>1650|
|75+<br>341|379|430|495|575|676|792|950|1160|<br>1431|
|TOTAL<br>52904|61932|72320|84533|<br>98201|113154|<br>129278|<br>146288|<br>163690|<br>180870|
|FEEMALES||||||||||
|0-4<br>9700|11610|<br>13123|15161|<br>16873|18430|<br>19906|<br>21124|<br>21884|<br>22061|
|5-9<br>8037|9109|10994|12540|<br>146Z0|16338|<br>17914|<br>19419|<br>20679|<br>21496|
|10-14<br>6488|7891|8968|10850|<br>12404|14476|<br>16195|<br>17776|<br>19288|<br>20560|
|15-19<br>5427|6375|7769|8842|<br>10712|12261|<br>14327|<br>16047|<br>17634|<br>19157|
|20-24<br>4583|5302|6242|7616|<br>8676|10531|<br>12076|<br>14136|<br>15860|<br>17458|
|25-29<br>3819|4456|5168|6091|<br>7438|8491|10331|<br>11872<br>|<br>13928<br> <br>|<br>15660<br> <br>|
|30-34<br>3152|3702|4331|5028|<br>5931|7261|8308|10133|<br>11673|<br>13727|
|35-39<br>2583|3047|3587|4202|<br>.881|5m|7087|8127|9939|<br>11478|
|40-44<br>2118|2488|2941|3467|<br>4063|4734|5614|6910|7945|<br>9743|
|45-49<br>1728|2031|2390|2828|<br>3335|3921|4581|5448|6725|<br>7752|
|50-54<br>1442|1641|<br>1931|2274|<br>2693|3187|3759|4406|5256|<br>6509|
|55-59<br>1158|1344|<br>1532|1805|<br>2127|2530|3007|3561|4190|<br>5017|
|60-64<br>895|1046|<br>-1216|1388|<br>1637|1941|2321|2774|3303|<br>3905|
|65-69<br>647|764|896|1044|<br>1194|1418|1695|<br>2044|2461|<br>2952|
|70-74<br>43t|505|598|704|<br>822|950|1140|<br>1378|<br>1679|<br>2044|
|75+<br>414|467|541|639|754<br>|901<br>|1072<br> <br>|<br>1304<br> <br>|<br>1607<br> <br>|<br>2001<br> <br>|
|TOTAL<br>52622|61776|72229|84476|<br>98159|113144|<br>129334|<br>146460|<br>164052|<br>181521|
|BIRTH RATE|48.2|45.9|44.6|41.8|39.0|36.4|33.6|30.7|27.6|
|DEATH RATE<br>|16.0<br>|14.6<br>|13.2<br>|11.7<br>|10.6<br>|9.7<br>|8.8<br>|8.1<br>|7.5<br>|
|RATE OFNAT.<br>INC.|3.22|3.13|3.14|3.01|2.84|2.67|2.48|2.26|2.01|
|NET MIGRATION<br>RATE|-.4|-. 2|-.1|-.1|-. 0|-.0|.0|.0|.0|
|<br> <br>GROJTH<br>RATE|<br>3.18|<br>3.11|<br>3.13|<br>3.00|<br>2.84|<br>2.67|<br>2.48|2.26|2.01|
|TOTAL FERTILITY|6.716|6.477|6.239|5.764|5.265|4.766|4.266|7.768|3.294|
|NRR|2.436|2.409|2.391|2.289|2.139|1.976|1.801|1.623|1.448|
|**e(0)**<br>- **BOTH**<br>SEXES|50.53|52.11|53.82|55.62|57.15|58.72|60.34|62.01|63.72|
|e(10)- BOTH SEXES|53.59|54.02|54.32|54.60|55.49|56.41|57.36|58.34|59.36|
|**_IMR_**<br>- BOTH SEXES|120.6|111.4|100.2|87.1|79.7|72.6|65.8|59.1|52.2|
|q(5)-**BOTH**<br>SEXES|.1926|.1757|.1553|.1314|.1197|.1087|.0981|.0874|.0764|
|<br> <br>DEP. RATIO<br>96.3|<br> <br>97.0|<br> <br>94.8|<br>94.3|<br> <br>90.9|<br>86.9|<br> <br>81.3|<br> <br>75.7|<br> <br>70.1|<br>64.4|
53 Population projection 'thousands)

# EASTERN AFRICA DEPARTMENT (AF2)

Summary for 25 Year Periods

|.......<br>............<br>AOE GROUP|..........<br>1985|....<br>....<br> <br>2000|.........................<br> <br>2025|2050|.....<br>........<br>2075|....<br>......<br>2100|.......<br>.......<br>2125|.......<br>,<br>2150|
|---|---|---|---|---|---|---|---|---|
|.......<br>............|..........|.<br>..............|........|...........|......................||............|..............................|
|TOTAL<br>M,'F|105526|169009|327742|486282|603364|653846|667285|672666|
|MALES|||||||||
|0-4|9804|15416|22293|21194|21397|21507|21543|21551|
|5-9|8252|12704|21004|21168|21424|21509|21520|21521|
|10-14|6678|10978|19570|<br>21453|21524|21U89|<br>21486|21493|
|15-19|5572|8916|17871|21633|21487|21391|21427|21457|
|20-24|4652|7795|16027|21715|21124|21238|21358|21414|
|25-29|3817|6218|14006|21220|20806|21133|21322|21373|
|30-34|3144|5094|11692|20126|20754|21135|21295|21324|
|i: -39|2569|4192|9913|18558|20932|21161|21223|21242|
|40-44|2088|3393|7855|16709|20963|21022|21047|21110|
|45-49|1688|2738|6692|14724|20813|20493|20750|20904|
|50-54|1393|2166|5151|12519|19920|19848|<br>20344|20576|
|55-59|1098|1675|3987|9965|18173|19161|<br>19753|19974|
|60-64|829|1252|3000|7819|15676|18232|<br>18750|18904|
|65-69|592|912|2109|5478|12649|16557|<br>17004|17156|
|70-74|385|589|1361|3829|9325|13972|<br>14217|14554|
|75h|341|495|1160|3423|<br>9903|19015|<br>21681|22786|
|TOTAL|52904|84533|163690|241535|296869|318863|324718|327341|
|FEMALES|||||||||
|0-4|9700|15161|21884|20800|20958|21013|21024|21017|
|5-9|8037|12540|20679|20831|21038|21054|21029|21013|
|10-14|648S|10850|19288|21144|21176|21067|21016|21004|
|15-19|5427|8842|17634|21365|21192|21014|20987|20997|
|20-24|4583|7616|15860|21513|20909|20926|20967|20999|
|25-29|3819|6091|13928|21096|20663|20892|20989|21007|
|30-34|3152|5028|11673|20068|20678|20965|21024|21007|
|35-39|2583|4202|9939|18568|20933|21071|21021|20981|
|40-44|2118|3467|7945|16794|21061|21036|20939|20928|
|45-49|1728|2828|6725|14912|21057|20662|20788|20853|
|50-54|1442|2274|5256|12866|20398|20253|20630|20765|
|55-59|1158|1805|4190|10487|19012|19980|<br>20473|20593|
|60-64|895|1388|3303|8535|16994|19725|<br>20168|20219|
|65-69|647|1044|2461|6309|14454|18933|<br>19359|19421|
|70-74|431|704|1679|4641|11462|17280|<br>17565|17893|
|75+|414|639|1607|4818|<br>14509|29115|34589|36627|
|TOTAL|52622|84476|164052|244748|306496|334983|342567|345324|
|BIRTH RATE||46.0|35.6|22.1|15.8|13.6|13.0|12.8|
|DEATH<br>RATE||14.4|9.6|6.6|7.3|10.4|12.1|12.5|
|NET MIGRAT|ION<br>RATE|-.2|-.0|.0|.0|.0|.0|.0|
|GROWTH<br>RAT|E|3.14|2.65|1.58|.86|.32|.08|.03|
|TOTAL FERT|ILITY|6.450|4.607|2.579|2.072|2.054|2.043|2.042|
|**etO)**- BOTH|SEXES|52.32|59.19|67.66|74.13|76.56|78.27|75.71|
|**IMR-**BOTH<br>S|<br>EXES|109.9|72.1|39.1|16.9|11.1|7.5|6.9|
54 SOJTH CENTRAL AND INDIAN OCEAN DEPARTMENT (AF3) Poputation projection (thousands)

|AGEGROLP<br>1985<br>,,,,,.,......,.....<br>.<br>.<br>.<br>.<br>.|1990<br>.<br>.<br>.<br>.<br>.<br>.|1995<br>.<br>.<br>.'.<br>.|<br>2000<br>.<br>.<br>.<br>.<br>.<br>.|<br>2005<br>.<br>.<br>.<br>.<br>.<br>.<br>.|2010<br>.<br>.<br>.<br>_<br>.|2015<br>.<br>.<br>.<br>.<br>.<br>.|2020<br>.<br>.<br>..<br>.<br>.|2025<br>.<br>.<br>.<br>.<br>.<br>.|2030<br>.<br>.<br>.<br>.<br>.<br>.|
|---|---|---|---|---|---|---|---|---|---|
|TOTALN+F<br>52457|61354|71667|83569|<br>97393|112438|128639|145733|163366|<br>180886|
|MALES||||||||||
|0-4<br>4898|5754|6591|7520|8620|9385|10121|10732|11172|11294|
|5-9<br>3863|4601|5452|6303|7259|8350|9119|9863|10490|<br>10955|
|10-14<br>3207|3782|4515|5365|6218|7170|8257|9027|9775|<br>10407|
|15-19<br>2724|3149|371d|4446|5290|6137|7085|8167|8939|9690|
|20-24<br>2334|2658|3075|3635|4351|5185|6025|6968|8047|8822|
|25-29<br>1950|2265|2582|2991|3539|4246|5070|5902|6841|7917|
|30-34<br>1542|18839|<br>2196|2507|2908|3448|4146|4961|5788|6724|
|35-39<br>1196|1489|1825|2125|2429|2825|3358|4047|4855|5677|
|40-44<br>963|1147|1430|1756|2046|2346|2737|3262|3942|4741|
|45-49<br>835|<br>915|1092|1363|1675|1958|2253|2637|315Z|<br>3820|
|50-54<br>691|781|858|1026|1282|1580|1854|2141|2514|3016|
|55-59<br>555|632|716|789|945|1185|1465|1725|2000|2358|
|60-64<br>430|490|560|637|704|<br>846|1064|1320|1561|1817|
|65-69<br>321|357|<br>410|470|537|<br>597|721|910|1133|1347|
|70-74<br>207|243|272|314|362|417|467|567|719|<br>901|
|75+<br>185|212|248|286|332|389|455|525|630|789|
|TOTAL<br>25901|30362|35543|41532|48497|56064|64195|7275s|81559|90276|
|FEMALES||||||||||
|0-4<br>4827|5684|<br>6500|7399|<br>8464|9212|9933|10532|<br>10963|11081|
|5-9<br>3851|4554|5410|6243|7172|8230|8985|9716|10331|10785|
|10-14<br>3191|3773|<br>4474|5330|6166|7092|8148|8905|9640|10262|
|15-19<br>2671|3137|3714|4410|5261|6093|7017|8071|8832|9572|
|20-24<br>2279|2616|3076|3645|4333|5177|6005|6927|7980|8746|
|25-29<br>1968|2223|2555|3006|3565|4247|5084|5908|6829|7884|
|30-34<br>1595|1913|2162|2488|2930|3483|4159|4990|5811|6732|
|35-39<br>1298|1545|1854|2097|2415|2853|3400|4070|4895|5715|
|40-44<br>1083|1251|1490|1790|2026|2341|2774|3314|3979|4799|
|45-49<br>951|1038|1200|1431|1720|1953|2264|2691|3225|388.|
|50-54<br>789|903|987|1142|1363|1644|1872|2179|2598|3124|
|55-59<br>654|736|844|923|1070|1282|1552|1775|<br>2074|2483|
|60-64<br>511|592|667|766|840|978|1178|1434|1649|1938|
|65-69<br>391|438|509|<br>575|662|731|<br>858|1041|1276|1478|
|70-74<br>259|307|345|402|455|530|592|702|<br>860|1065|
|75+<br>238<br>|282|337|<br>389|453|527|623|723|863|1062|
|TOTAL<br>26556|30992|36125|42037|48895|<br>56374|64444|72978|81807|90610|
|BIRTH RATE|46.3|44.6|42.8|41.3|38.5|35.9|33.2|30.5|27.5|
|DEATHRATE|14.9|13.5|12.0|10.7|9.8|9.0|8.2|7.6|7.1|
|RATE OF MAT.INC.|3.14|3.11|3.07|3.06|2.87|2.69|2.50|2.28|2.04|
|NETMIGRATION<br>RATE|-.0|-.0|-.0|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|3.13|3.11|3.07|3.06|2.87|2.69|2.50|2.28|2.04|
|TOTAL FERTILITY|6.436|6.288|6.015|5.742|5.235|4.732|4.231|3.753|3.284|
|NRR|2.398|2.409|2.376|2.342|2.171|1.994|1.818|1.642|1.459|
|eCo) - BOTH SEXES|51.98|53.79|55.64|57.53|58.91|60.32|61.79|63.30|64.87|
|e(10)- BOTHSEXES|53.74|54.26|54.63|55.03|55.91|56.82|57.75|58.72|59.72|
|IMR- BOTH SEXES|106.6|95.8|83.1|70.2|65.0|59.9|54.6|49.3|".1|
|q(5)- BOTH SEXES|.1681|.1495|.1273|.1054|.0972|.0891|.0809|.0726|.0641|
|<br>DEP. RATIO<br>94.2|95.6|95.8|94.5|92.1|88.0|82.8|76.|7<br>71.0|<br>65.3|
55 S0UTN CENTRAL AND INDIAN OCEAN DEPARTMENT (AFr) Poputation projection (thouaanda)

# Sumary for 25 Year Periods

|AGE GRaWP<br>1985|<br>2000|<br>2025|<br>2050|<br>2075|2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|................**........**.........<br>..........<br>.................|..............|......................||*.........|.......<br>|....................|....|
|TOTAL M.F<br>52457|<br>83569|<br>163366|<br>244935|<br>306024|<br>332690|<br>339505|<br>342Q18|
|MALES||||||||
|0-4<br>4898|7520|<br>11172|<br>1027|10894|<br>10937|<br>0950|<br>10953|
|5-9<br>3863|6303|<br>10490|<br>'1073|2<br>1090|<br>1Q9|10937|<br>10938|
|10-14<br>3207|5365|<br>9775|<br>10963|<br>10942|<br>10919|<br>10920|<br>10925|
|15-19<br>2724|<br>£446|<br>8a3?|<br>11040|<br>10887|<br>10872|<br>10893|<br>10908|
|20-24<br>2334|3635|<br>804a|<br>10917|<br>10754|<br>10807|<br>10863|<br>187|
|25-29<br>1950|<br>2991|<br>6841|<br>10641|<br>10645|<br>10767|<br>10845|<br>10865|
|30-34<br>1542|<br>2507|<br>5788|<br>10046|<br>10535|<br>10767|<br>1082?|<br>10838|
|35-39<br>1196|<br>2125|<br>4855|<br>9279|<br>10714|<br>10766|<br>10786|<br>10797|
|40-44<br>963|1756|<br>3942|<br>8380|<br>10722|<br>10662|<br>10700|<br>10734|
|45-49<br>835|1363|<br>3152|<br>7427|<br>10492|<br>10447|<br>10563|<br>10634|
|50-54<br>691|1026|<br>2514|<br>6156|<br>10025|<br>10171|<br>10371|<br>10468|
|55-59<br>555|789|2000|<br>4981|<br>9116|9746|<br>10071|<br>10159|
|60-64<br>430|637|1561|<br>3834|<br>7892|9358|<br>9550|<br>9613|
|65-69<br>321|470|1133|<br>2805|<br>6405|8501|<br>8640|<br>8729|
|70-74<br>207|314|719|<br>1858|<br>4767|7082|<br>7266|<br>7418|
|75.<br>185|286|630|<br>1798|<br>5010|9667|<br>11136|<br>11642|
|TOTAL<br>25901|<br>41532|<br>81559|<br>121733|<br>150709|<br>162404|<br>165318|<br>166508|
|FEMALES||||||||
|0-4<br>4827|7399|<br>10963|<br>10612|<br>10659|<br>10677|<br>10679|<br>10675|
|5-9<br>3851|6243|<br>10331|<br>10549|<br>10697|<br>10692|<br>10680|<br>10673|
|10-14<br>3191|5330|<br>9640|<br>10796|<br>10748|<br>10693|<br>10673|<br>10669|
|15-19<br>2671|4410|<br>8832|<br>10898|<br>10719|<br>10667|<br>10662|<br>10667|
|20-24<br>2279|3645|<br>7980|<br>10812|<br>10623|<br>10634|<br>10655|<br>10668|
|25 29<br>1968|<br>3006|<br>6829|<br>10579|<br>10551|<br>10629|<br>10666|<br>10671|
|30-34<br>1595|<br>2488|<br>5811|<br>10022|<br>10480|<br>10662|<br>10677|<br>10668|
|35-39<br>1298|<br>2097|<br>4895|<br>9289|<br>10698|<br>10699|<br>10670|<br>10656|
|40-44<br>1083|<br>-1790|<br>3979|<br>8426|<br>10756|<br>10645|<br>10630|<br>10632|
|45-49<br>951|1431|<br>3225|<br>7519|<br>10601|<br>10506|<br>10566|<br>10598|
|50-54<br>789|1142|<br>2598|<br>6322|<br>10253|<br>10352|<br>10498|<br>10554|
|55-59<br>654|923|2074|<br>5237|<br>9525|10138|<br>10417|<br>10461|
|60-64<br>511|766|1649|<br>4227|<br>8541|10098|<br>10248|<br>10267|
|65-69<br>391|575|1276|<br>3189|<br>7303|9693|<br>9008|<br>9866|
|70-74<br>259|402|860|<br>2257|<br>5841|8733|<br>8948|<br>9104|
|75h<br>238|389|<br>863|<br>2467|<br>7320|14768|<br>m10|18680|
|TOTAL<br>26556|<br>42037|<br>8i807|123201|<br>155315|<br>170286|<br>174187|<br>175510|
|BIRTH RATE|44.4|35.2|22.2|15.8|13.6|12.9|12.8|
|DEATH RATE|13.4|8.8|6.3|7.0|10.3|12.1|12.5|
|NETNIGRATIONRATE|-.0|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|3.10|2.68|1.62|.89|.33|.08|.03|
|TOTAL FERTILITY|6.224|4.579|2.601|2.072|2.053|2.043|2.042|
|eCO) BOTH<br>SEXES|53.99|60.75|68.54|74.57|76.78|78.35|78.75|
|<br>INR- BOTH SEXES|94.3|59.2|33.7|15.5|10.6|7.4|6.9|
56 WFSTERN AFRICA DEPARTMENT **(AF4)** Poputation projection (thousands)

|..................................<br>AGE**GROUP**<br>1985|1990|1995|<br> <br>2000|...............<br>2005|;....<br>.......<br>2010|.,..........,,...............<br>2015|...........<br>2020|2025|,,...,,.<br>2030|
|---|---|---|---|---|---|---|---|---|---|
|TOTAL**H+F**<br>119118|139421|16177?|187351|216175|246867|278513|310083|340680|369541|
|'tALES||||||||||
|0-4<br>11789|13113|14387|16258|18192|194'6|20287|20576|20413|19876|
|5-9<br>9219|10992|12356|13707|15647|1756'|18875|19729|20078|19987|
|10-14<br>7535|8996|10760|12135|13501|15432|17351|18664|19534|19906|
|15-19<br>6218|7384|<br>8830|10578|<br>11945|13308|15230|17145|18467|<br>19352|
|20-24<br>4988|<br>6083|7198|8615|10329|11687|13045|14958|16871|18206|
|25-29<br>4049|4829|5896|6982|8362|10051|<br>11400|12755|'4661|16576|
|30-34<br>3275|3913|4473|5710|6765|8123|9790|11132|12488|14391|
|35-39<br>2744|3155|3774|4510|5515|<br>6553|<br>7891|9536|10873|12231|
|40-44<br>2315|2626|3024|3621|4331|5312|6331|7647|9270|10602|
|45-49<br>1899|2195|<br>2494|2875|3446|4136|5089|6086|7375|8970|
|50-54<br>1519<br> <br>|<br>1774|2055|2338|<br>2699|3246|3910|4828|5-44|7047|
|55-59<br>1190|1389|1626|1886|2149|2490|3007|3635|4506|5428|
|60-64<br>893|1052|1231|1445|1679|1921|2234|2709|3288|4091|
|65-69<br>629|746|<br>882|1035|1217|1421|1634|1910|2327|2837|
|70-74<br>396<br>|479|572|678|<br>798|944|1109|1283|1509|1850|
|75+<br>315<br>|393|486|589|<br>708|848|1017|1214|1434|1703|
|TOTAL<br>59004|69119|80244|92962|107285|122517|138199|153808|168889|183053|
|IEMALES||||||||||
|0-4<br>11686|12996|14227|16042|17913|19174|1.'70|<br>20252|20090|19560|
|5-9<br>9192|10948|12308|13619|15507|17373|18659|19498|19838|19743|
|10-14<br>7536|8980|10733|12107|13439|15321|17186|18482|<br>19337|19699|
|15-19<br>6273|7396|8831|10575|11949|13280|15158|17024|18330|19202|
|20-24<br>5053|6140|7251|8670|10396|11765|13096|14972|16841|18161|
|25-29<br>4159|4928|5997|7092|8490|10200|11565|12898|14773|<br>16649|
|30-34<br>3390<br> <br>|4039<br>|4796|5845|6922|8305|10000|<br>11363|12700|14577|
|35-39<br>2839|3278|3915|4657|5685|6749|8118|9799|11160|12503|
|40-44<br>2409|2732|3162|3783|4508|5519|6569|7924|9591|10952|
|45-49<br>1995|<br>2306|2621|3039|3643|4354|5346|6382|7720|<br>9371|
|50-54<br>1630<br> <br>|1892<br>|2192|2497|2901|3489|4183|5152|6170|7487|
|55-59<br>1305<br>|1520|1770|2056|2346|2736|3304|3976|4917|5910|
|60-64<br>1007<br>|1181|1381|1614|1880|2157|2528|3068|3710|4610|
|65-69<br>735|<br>865|1020|1199|1406|1650|1906|22490|<br>2747|3345|
|70-74<br>485<br>|580|688|816|964|1142|1352|1576|1877|2314|
|75+<br>419<br> <br>|523<br>|642<br>|779<br>|941<br>|1137<br>|1374|1662|1991|2405|
|TOTAL<br>60114|70302|81534|94389|108890|124350|140314|156276|171791|186488|
|BIRTH RATE|46.6|43.0|41.2|39.1|36.2|33.0|29.7|26.5|23.4|
|DEATH RATE|15.1|13.3|11.8|10.5|9.7|8.9|8.2|7.6|7.2|
|RATEOFNAT. INC.|3.15|2.98|2.94|2.86|2.66|2.41|2.15|1.88|1.63|
|NET MIGRATION RATE|.0|.0|.0|**.Q**|**.J**|.0|.0|.0|.0|
|GRCWTH<br>RATE|3.15|2.97|2.94|_2.P6_|2.66|2.41|2.15|1.88|1.63|
|TOTALFERTILITY|6.483|6.039|5.593|5.145|4.634|4.124|3.614|3.125|2.702|
|NRR|2.387|2.299|2.209|2.103|1.927|1.745|1.556|1.369|1.203|
|e(O)**-** BOTH SEXES|51.16|53.28|55.39|57.44|58.84|60.29|61.79|63.33|64.92|
|**e(10)-** BOTH SEXES|53.36<br>|54.08|54.62|55.12|56.02|56.93|57.87|58.84|59.84|
|**_IMR_**- **BOTH**SEXES<br>|104.8<br>|93.2<br>|80.6<br>|68.2<br>|63.2|58.1<br>|53.1<br>|48.1|43.1|
|q(S)**-** BOTH SEXES|.1728|.1514|.1286|.1066|.0981|.0897|.0813|.0728|.0643|
|DEP. RATIO<br>101.3|99.7|95.6|90.4|86.5|82.4|7G.5|69.5|62.6|56.4|
57

# WESTERN AFRICA DEPARTMENT (AF4)

# Population projection (thousands)

# Suanry for 25 Year Periods

|AGE CRCJP|1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|. ........<br>............|.<br>|. . .......<br>..........|<br>.............|......|....|..<br>......|.....|..|
|TOTAL<br>M+F|119118|<br>187351|<br>340680|<br>472102|<br>560702|<br>591531|<br>602322|<br>60"674|
|MAL,S|||||||||
|0-4|11789|<br>16258|<br>20413|<br>19651|<br>19398|<br>19355|<br>19373|<br>19391|
|5-9|9219|13707|<br>20078|<br>19453|<br>19224|<br>19284|<br>19346|<br>19371|
|10-14|7535|12135|<br>19534|<br>18836|<br>19081|<br>19259|<br>1934.|<br>19358|
|15-19|6248|10578|<br>18467|<br>18486|<br>19075|<br>19274|<br>19328|<br>19331|
|20-24|4988|8615|16871|<br>19172|<br>19164|<br>19266|<br>19276|<br>19280|
|25-29|4049|6982|14661|<br>19381|<br>19314|<br>19168|<br>19191|<br>19221|
|30-34|3275|5710|<br>12488|<br>19174|<br>19091|<br>18973|<br>19095|<br>19171|
|35-39|2744|4510|<br>10873|<br>18.82|18401|<br>18770|<br>19023|<br>19123|
|40-44|2315|3621|<br>9270|<br>17231|3<br>17941|<br>18675|<br>18968|<br>19045|
|45-49|1099|2875|<br>7375|<br>154S3|<br>18412|<br>18609|<br>18828|<br>18869|
|50-54|1519|<br>2338|<br>5794|<br>13127|<br>18240|<br>18446|<br>18459|<br>18522|
|55-59|1190|<br>1886|<br>4506|<br>10695|<br>17373|<br>17649|<br>17740|<br>17914|
|60-64|893|1445|<br>3288|<br>8652|<br>15683|<br>16056|<br>16642|<br>16951|
|65-69|629|1035|<br>2327|<br>6559|<br>13130|<br>14204|<br>15122|<br>15469|
|70-74|396|678|1509|<br>4319|<br>9895|<br>12401|<br>12930|<br>13215|
|75+|315|589|1434|<br>4033|<br>10729|<br>18149|<br>19906|<br>20575|
|TOTAL|59004|<br>92962|<br>168889|<br>232751|<br>274152|<br>287540|<br>292567|<br>294805|
|FEMALES|||||||||
|0-4|11686|<br>16042|<br>20090|<br>19334|<br>19045|<br>18952|<br>18948|<br>18953|
|5-9|9192|13619|<br>19838|<br>19195|<br>18922|<br>18917|<br>18945|<br>18955|
|10-14|7536|12107|<br>19337|<br>18618|<br>18816|<br>18922|<br>18959|<br>18959|
|15-19|6273|10575|<br>18330|<br>18316|<br>18857|<br>18977|<br>18973|<br>18957|
|20-24|5053|8670|<br>16841|<br>19072|<br>19015|<br>19026|<br>18963|<br>18947|
|25-29|4159|7092|<br>14773|<br>19372|<br>19229|<br>18994|<br>18932|<br>18933|
|30-34|3390|5845|<br>12700|<br>19259|<br>19075|<br>18864|<br>18892|<br>18926|
|35-39|2839|4657|<br>11160|<br>18666|<br>18457|<br>18734|<br>18883|<br>18928|
|40-44|2409|'3783|<br>9591|<br>17533|<br>18088|<br>18733|<br>18912|<br>18921|
|45-49|_15?_|.<br>3039|<br>7720|<br>15919|<br>18714|<br>18811|<br>18906|<br>18863|
|50-54|1630|<br>2497|<br>6170|<br>13731|<br>18796|<br>18876|<br>18764|<br>18735|
|55-59|1305|<br>2056|<br>4917|<br>11501|<br>18333|<br>18468|<br>18435|<br>18512|
|60-64|1007|<br>1614|<br>3710|<br>9691|<br>17202|<br>17441|<br>17952|<br>18175|
|65-69|735|1199|<br>2747|<br>7745|<br>15242|<br>16328|<br>17272|<br>17560|
|70-74|485|816|1877|<br>5465|<br>12418|<br>15455|<br>16041|<br>16301|
|75+|419|779|1991|<br>5934|<br>16339|<br>28493|<br>31979|<br>33246|
|TOTAL|60114|<br>94389|<br>171791|<br>239351|<br>286550|<br>303991|<br>309755|<br>311869|
|BIRTH RATE||43.3|32.1|19.7|14.9|13.4|12.9|12.8|
|DEATH<br>RATE||13.2|8.8|6.8|8.1.|11.2|12.2|12.5|
|NET MIGRAT|ION<br>RATE|.0|.0|.0|0|.0|.0|.0|
|GROWTH<br>RAT|E|3.02|2.39|1.31|.69|.21|.07|.03|
|TOTAL FERT|ILITY|5.988|3.979|2.281|2.064|2.049|2.040|2.039|
|e(O)- BOT|H<br>SEXES|53.49|60.68|68.55|74.62|76.81|78.37|78.77|
|<br>IMR- BOTH S|EXES|S2.1|57.9|32.9|15.5|oG.6|7.4|6.9|
58

|SAHELIAN<br>DEPARTMEN<br>**(A**|T<br>**FS)**|Popula|tion projecti|on (thowan|ds|)|||||
|---|---|---|---|---|---|---|---|---|---|---|
|AGE**GROUP**<br>1985|1990|1995|2000|2005||2010|2015|2020|2025|2030|
|..................<br>F............................---.....-....1..........<br>**TOTAL**H.P<br>3627V.|..........................<br> <br>41702|48164|5...6..0.8..8.. ......<br>56088|..<br>6.........6.<br>----<br>65156|----|.<br>75....1...9.. ---<br>75149|-----..........................<br>86166|98...........------.<br>98236|..............------...1_<br>111171|...........<br>_<br>9<br>124562|
|MALES|||||||||||
|0-4<br>3364|3875|4468|5297|5981||6535|7138|7738|8292|8608|
|5-9<br>2605|3093|3596|418|5017||5693|6253|6864|7497|8053|
|10-14<br>2196|2534|3016|3517|4108||4931|58q:|<br>6166|6780|7,418|
|15-19<br>1884|2142|2476|2953|3449||4036|485'|<br>5525|6088|6705|
|20-24<br>1561|1812|2071|2399|2866||3357|3,40|4750|5421|5988|
|25-29<br>1213|1483|1736|1989|2308||2769|3257|3836|4640|5311|
|30.34<br>974|1146|1415|1663|1909||2225|2681|3166|3741|4540|
|35-39<br>842|917|1089|1349|1589||1833|2146|2596|<br>3077|3649|
|40-44<br>745|789|865|1030|1279||1516|<br>1756|<br>2065|2508|2984|
|45-49<br>636|693|738|810|966||1207|1438|1673|1975|<br>2409|
|50-54<br>528|584|639|68'|749||897|1126|1349|1577|<br>1869|
|55-59<br>427|473|525|575|614||679|818|1031|1242|1458|
|60-64<br>338|368|409|455|499||536|596|722|915|1108|
|65-69<br>241|273|298|333|371||410|443|496|605|m|
|70-74<br>159|175|200|219|245||276|308|336|379|467|
|75+<br>138|152|169|192|214||242|277|316|356|407|
|TOTAL<br>1785S|20509|23710|27649|32163||37142|42633|48649|55095|61746|
|FEKALES|||||||||||
|0-4<br>3305|3867|448|5264|5930||6475|7067|7677|8201|8509|
|5-9<br>2595|3048|3599|4184|5004||5667|6219|6823|7449|7996|
|10-14<br>2213|2524|2973|3522|4107||4922|5584|6140|6748|7380|
|15-19<br>1921|2160|2468|2912|3458||4041|4852|5513|6073|6685|
|20-24<br>1520|1863|2098|2400|2839||3382|3963|4770|5434|5998|
|25-29<br>1270|1463|1797|2028|2326||2762|3301|3881|4686|5352|
|30-34<br>1121|1218|1405|1731|1957||2254|2687|3223|3802|4604|
|35-39<br>992|1071|1166|1348|1665||1891|2185|2615|3148|3725|
|40-44<br>839|945|1023|ll15|1291||1602|<br>1826|<br>2118|2544|3073|
|45-49<br>681|796|898|974|1063||1235|1539|1761|2050|2471|
|50-54<br>564|640|750|847|920||1008|1176|1471|1689|1974|
|55-59<br>455|519|591|694|785||856|943|1105|1388|1602|
|60-64<br>356|404|464|529|622||707|m|861|1014|1282|
|65-69<br>259|298|340|391|447||530|609|674|753|896|
|70-74<br>173|197|228|262|302||349|419|486|545|<br>616|
|75+<br>159|179|206|239|277||326|386|468|561|656|
|TOTAL<br>18422|21193|24454|28439|32993||38007|43533|49587|56084|62816|
|BIRTH RATE|48.0|47.3|47.4|45.1||42.1|39.5|37.1|34.6|31.5|
|DEATH RATE|19.1|17.7|16.3|14.6||13.2|12.0|10.8|9.8|8.8|
|RATE OF NAT. INC.|2.90|2.96|3.11|3.04||2.88|2.75|2.63|2.48|2.27|
|NET MIGRATION<br>RATE|-1.1|-. 8|-. 6|-. 4||-.3|-. 2|-. l|-.0|.0|
|GROWTH<br>RATE|2.79|2.88|3.05|3.00||2.85|2.74|2.62|2.48|2.27|
|TOTALFERTILITY|6.582|6.636|6.677|6.343||5.837|5.333|4.831|4.331|3.833|
|NRR|2.256|2.333|2.429|2.388||2.253|2.109|1.956|1.794|1.629|
|e(O)- BOTHSEXES|46.65|48.17|49.84|51.63||53.26|54.95|56.72|58.55|60.46|
|**e(10)**- BOTH SEXES|51.19|51.71|52.04|52.36||53.31|54.29|55.31|56.36|57.45|
|IMR- BOTH SEXES|140.6|130.6|118.9|105.9||98.0|90.0|81.9|73.8|65.7|
|q(5)-**BOTH**SEXES|.2190|.2020|.1814|.1590||.1467|.1341|.1215|.1087|.0959|
|<br>DEP. RATIO<br>92.3|<br>94.1|<br>95.6|<br>96.9|<br>96.5||<br>93.7|<br>87.9|<br>81.8|<br> <br>76.4|<br>71.1|
59

# SAHELIAM DEPARTNFNT **(AF5)**

# Poputation projection (thousands)

# Surry for 25 Year Periods

|........................................<br>AGE GROUP|...............................<br>1985|.........<br> <br>2000|.................<br> <br>2025|.......................................<br> <br>2050|........<br> <br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTALN.F|36274|<br>56088|<br>111179|<br>175073|<br>225653|<br>251754|<br>259625|<br>262523|
|MALES|||||||||
|0-4|3364|<br>5297|<br>8292|<br>8289|<br>8382|<br>8404|<br>8415|<br>8420|
|5-9|2605|<br>4188|<br>7497|<br>8278|<br>8376|<br>8392|<br>8402|<br>8407|
|10-14|2196|<br>3517|<br>6780|<br>8440|<br>8356|<br>837'|8388|<br>8397|
|15-19|1884|<br>2953|<br>6088|<br>8453|<br>8313|<br>8334|<br>8368|<br>8384|
|20-24|1561|<br>2399|<br>5421|<br>8207|<br>8234|<br>8288|<br>8344|<br>8366|
|25-29|1213|<br>1989|<br>4640|<br>7750|<br>8093|<br>8258|<br>8326|<br>8346|
|30-34|974|1663|<br>3741|<br>7084|<br>8073|<br>8244|<br>8303|<br>8322|
|35-39|842|1349|<br>3077|<br>6336|<br>8182|<br>8191|<br>8261|<br>8289|
|40-44|745|1030|<br>25C8|<br>5598|<br>8127|<br>8103|<br> <br>8191|<br><br> <br>8240|
|45-49|636|<br>81C|<br> <br> <br>1975|<br> <br> <br>4885|<br> <br> <br>7790|<br> <br> <br>7952|<br> <br> <br>8086|<br><br> <br>8160|
|50-54|528|681|<br>1577|<br>4057|<br>7188|<br>7675|<br>7934|<br>8027|
|55-59|427|575|1242|<br>3106|<br>6297|<br>7394|<br>7682|<br>7776|
|60-64|338|455|915|2349|<br>5243|<br>7049|<br>7227|<br>7342|
|65-69|241|333|605|1679|<br>4124|<br>6324|<br>6514|<br>6655|
|70-74|159|<br>219|379|1076|<br>2986|<br>5125|<br>5467|<br>5645|
|75+|138|<br>192|356|981|<br>2974|<br>6444|<br>8185|<br>8764|
|TOTAL|17852|<br>27649|<br>55095|<br>86569|<br>110737|<br>122547|<br>126093|<br>127540|
|FEMALES|||||||||
|0-4|3305|<br>5264|<br>8201|<br>8179|<br>8245|<br>8237|<br>8235|<br>8232|
|5-9|2595|<br>4184|<br>7449|<br>8202|<br>8266|<br>8244|<br>8234|<br>8230|
|10-14|2213|<br>3522|6748|<br>8380|<br>8265|<br>8239|<br>8230|<br>8228|
|15-19|1921|<br>2912|<br>6073|<br>U416|<br>8247|<br>8223|<br>8223|<br>8227|
|20-24|1520|<br>2400|<br>5434|<br> <br>8206|<br> <br> <br>8205|<br> <br> <br>8207|<br> <br> <br>8219|<br><br> <br>8227|
|25-29|1270|<br>2028|<br>4686|<br>7788|<br>8100|<br>8209|<br>8227|<br>8228|
|30-34|1121|<br>1731|<br>3802|<br>7151|<br>8115|<br>8227|<br>8230|<br>8225|
|35-39|992|1348|<br>3148|<br>6428|<br>8262|<br>8210|<br>8219|<br>8215|
|40-44|839|1115|<br>2544|<br>5715|<br>8253|<br>8168|<br>8189|<br>8198|
|45-49|681|974|2050|<br>5038|<br>7979|<br>8084|<br>8147|<br>8171|
|50-54|564|847|1689|<br>4256|<br>7466|<br>7908|<br>8096|<br>8134|
|55-59|455|694|1388|<br>3347|<br>6698|<br>7796|<br>8018|<br>8054|
|60-64|356|529|1014|<br>2636|<br>5793|<br>m72|7834|<br>7893|
|65-69|259|391|753|1955|<br>4814|<br>7332|<br>7480|<br>7577|
|70-74|173|262|545|1354|<br>3758|<br>6434|<br>6819|<br>6986|
|75+|159|239|561|1452|<br>4452|9967|<br>13133|<br>14158|
|TOTAL|18422|<br>28439|<br>56084|<br>88504|<br>114916|<br>129207|<br>133533|<br>134983|
|BIRTH RATE||47.5|39.0|25.0|16.9|14.0|13.1|12.8|
|DEATH RATE||17.6|11.8|7.2|6.9|9.7|11.9|12.4|
|NET MIGRAT|ION<br>RATE|-. 8|-.2|.0|.0|.0|.0|.0|
|GROWTH<br>RATE||2.91|2.74|1.82|1.02|.44|.12|.04|
|TOTAL FERTI|LITY|6.636|5.172|2.931|2.109|2.058|2.041|2.040|
|**e(0)**- BOTH|SEXES|48.37|55.49|64.99|72.56|75.69|77.94|78.53|
|**INR**BOTH S|EXES|129.0|88.8|49.8|21.8|13.3|8.0|7.2|
60

|SOUTHERN<br>AFRICA DEPAR<br>. ....................<br>.....|TMENT<br>(AF6)<br>........<br>.|Popula<br>........................|tion<br>projectio|n<br>(thousan<br>...........<br>.|ds)<br>....................||..<br>...|...........|..........................|.....|
|---|---|---|---|---|---|---|---|---|---|---|
|AGE GRaP<br>1985|1990|1995|2000|2005|2010||2015|2020|2025|2030|
|**......** **.**...<br>..............<br>_|....................................||......|...............|..............|.........|....................|||.........|
|TOTAL M*F<br>61792|72991|85870|100502|117084|135162||154597|175227|196609|217968|
|MALES|||||||||||
|0-4<br>6023|6986|7963|8992|10135|11069||11942|<br>12751|<br>13349|<br>13568|
|5-9<br>4625|5745|6701|7682|8727|9862||10798|11678|12501|13120|
|10-14<br>3857|4557|5672|6626|7606|8647||9778|10714|11596|12422|
|15-19<br>3206|3797|4491|5598|6546|7520||8556|9684|10621|11505|
|Z0-24<br>2626|3133|3716|4402|5494|6433||7399|8429|9554|10492|
|25-29<br>2135|2551|3049|3624|4297|5377||6305|<br>7264|<br>8289|<br>9411|
|30-34<br>1719|<br>2068|<br>2476|2966|3530|4195||5262|<br>6181|<br>7134|<br>8155|
|35-39<br>1451|<br>i657|<br>1998|<br>2398|2878|3434||4089|<br>5143|<br>6053|<br>7001|
|40-44<br>1183|<br>1388|<br>1589|<br>1921|2310|2780||3328|<br>397n|<br>5011|<br>5912|
|45-49<br>969|1118|<br>1316|<br>1511|1831|2209||2668|<br>3203|<br>3835|<br>4855|
|50-54<br>776|901|1042|1230|1415|1722||2086|2529|3049|3662|
|55-59<br>_609_|702|818|948|1122|1298||l588|<br>1932|<br>2353|<br>2849|
|60-64<br>461|529|612|715|831|990||1153|<br>1418|<br>1734|<br>2125|
|65-69<br>328|376|433|503|589|691||828|<br>973|1205|<br>1485|
|70-74<br>211|243|280|324|378|447||528|<br>640|<br>759|<br>949|
|75+<br>186|209|241|279|325|384||460|<br>554|679|826|
|TOTAL<br>30367|35961|42398|49718|58016|67058||76770|87067|97721|108337|
|FEKALES|||||||||||
|0-4<br>5971|6924|7879|8881|9996|10913||11770|12563|13148|13360|
|5-9<br>4662|5707|6655|7617|86(0|9749||10672|11539|12348|12956|
|10-14<br>3957|4594|5635|6582|7545|8564||9672|10596|11466|12281|
|15-19<br>3295|3895|4529|5565|6508|7466||8482|9590|10517|11392|
|20-24<br>2734|3227|3822|4450|5478|6413||7366|8380|9487|10419|
|25-29<br>2259|2666|3154|3741|4361|5379||6308|7256|8268|9377|
|30-34<br>1834|2195|2597|3077|3656|4269||5280|6201|7146|8158|
|35-39<br>1539|1775|2131|2525|2997|3569||4177|5180|6095|7037|
|40-44<br>1256|1484|1715|2063|2449|2914||3480|4081|5076|5986|
|45-49<br>1035|1203|1424|1650|1989|2367||2826|3383|3978|4963|
|50-54<br>838|980|1142|1355|1574|1903||2273|2722|3270|3856|
|55-59<br>666|778|912|1066|1268|1480||1797|2156|2593|3128|
|60-64<br>512|598|702|82|967|1158||1360|1662|2004|2425|
|65-69<br>373|436|512|603|712|841||1C16|1204|1483|<br>1802|
|<br>||,<br>||||||||<br>|
|70-74<br>250|291|342|404|479|572||684|834|1000|1245|
|75+<br>245|277|321|379|452|546||665|813|1009|1246|
|TOTAL<br>31425|37030|43473|50785|59068|68104||77827|88160|98888|109631|
|BIRTH RATE|47.5|45.3|42.9|40.8|38.1||35.5|33.1|30.5|27.6|
|DEATH RATE|14.1|12.7|11.4|10.2|9.4||8.7|8.0|7.5|6.9|
|RATE OF NAT. INC.|3.34|3.26|3.15|3.06|2.87||2.69|2.51|2.30|2.06|
|NETMIGRATIONRATE|-. 1|-. 1|O|-. 0|.0||.0|.0|.0|.0|
|GROUTH RATE|3.33|3.25|3.15|3.05|2.87||2.69|2.51|2.30|2.06|
|TOTAL FERTILITY|6.594|6.297|5.906|5.499|5.004||4.536|4.116|3.711|3.298|
|NRR|2.495|2.449|2.356|2.260|2.082||1.913|1.73|1.629|1.470|
|eCO) - BOTH SEXES|52.97|54.74|56.48|58.20|59.44||60.73|62.07|63.49|64.97|
|e(10)<br>- BOTH SEY.S|53.56|54.22|54.79|55.34|56.14||56.98|57.85|58.77|59.73|
|IMR- BOTH SEXES|109.0|100o.|89.3|77.6|72.0||66.6|61.0|55.2|49.2|
|q(5)-BOTH SEXES|1603|1460|1288|1101|1019||0940|0858|0771|0683|
|<br>DEP. RATIO<br>98.7|.<br>99.2|.<br>98.6|.<br> <br>94.7|.<br>90.4|.<br>85.5||.<br>80.2|.<br>74.6|.<br>69.4|.<br> <br>64.2|
61

# SOUTHERM AFRICA DEPARTMENT (AF6)

# Population projection (thousands)

# Sumury for 25 Year Periods

|AGE GROUP|1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|.**...........**..........................||.............................|........................................|...........|||||
|TOTAL<br>M+F|61792|<br>100502|<br>196609|<br>295403|<br>367884|<br>400013|<br>408299|<br>411453|
|MALES|||||||||
|0-4|6023|<br>8992|<br>13349|<br>12946|<br>13072|<br>13141|<br>13160|<br>13163|
|5-9|4625|<br>7682|<br>12501|<br>12830|<br>13103|<br>13144|<br>13145|<br>13144|
|10-14|3857|<br>6626|<br>11596|<br>13213|<br>13169|<br>13128|<br>13123|<br>13127|
|15-19|3206|<br>5598|<br>10621|<br>13363|<br>13107|<br>13062|<br>13086|<br>13106|
|20-24|262S|<br>4402|<br>9554|<br>13156|<br>12915|<br>12969|<br>13047|<br>13081|
|25-29|2135|<br>3624|<br>8289|<br>12770|<br>12718|<br>12915|<br>13028|<br>13057|
|30-34|1719|<br>2966|<br>7134|<br>12007|<br>12586|<br>12930|<br>13014|<br>13026|
|35-39|1451|<br>2398|<br>6053|<br>11030|<br>12901|<br>12952|<br>12967|<br>12974|
|40-44|1183|<br>1921|<br>5011|<br>9973|<br>12961|<br>12829|<br>12854|<br>12893|
|45-49|969|1511|<br>3835|<br>**8823**|<br>12626|<br>12537|<br>1267|3<br>12770|
|50-54|776|<br>1230|<br>3049|<br>7454|<br>12010|<br>12141|<br>12435|<br>12573|
|55-59|609|948|2353|<br>6127|<br>10871|<br>11629|<br>12088|<br>12208|
|60-64|461|715|1734|<br>4825|<br>9355|<br>11250|<br>11481|<br>11552|
|65-69|328|503|1205|<br>3545|<br>7600|<br>10254|<br>10385|<br>10480|
|70-74|211|324|759|<br>2230|<br>5646|<br>8496|<br>8707|<br>8891|
|75+|186|<br>279|679|2092|<br>6117|<br>11499|<br>13278|<br>13945|
|TOTAL|30367|<br>49718|<br>97721|<br>146384|<br>180757|<br>194875|<br>198469|<br>19991|
|FEMALES|||||||||
|0-4|5971|<br>8881|<br>13148|<br>12733|<br>12829|<br>12866|<br>12871|<br>12866|
|5-9|4662|<br>7617|<br>12348|<br>12654|<br>12891|<br>12892|<br>12873|<br>12862|
|10-14|3957|<br>6582|11466|<br>13052|<br>12979|<br>12896|<br>12863|<br>12857|
|15-19|3295|<br>5565|<br>10517|<br>13228|<br>12948|<br>12857|<br>12845|<br>12853|
|20-24|2734|<br>4450|9487|<br>13065|<br>12804|<br>12802|<br>12835|<br>12855|
|25-29|2259|<br>3741|8268|<br>12725|<br>12654|<br>12791|<br>12852|<br>12861|
|30-34|1834|<br>3077|7146|<br>12001|<br>12565|<br>12848|<br>12874|<br>12860|
|35-39|1539|<br>2525|6095|<br>11062|<br>12927|<br>12917|<br>12869|<br>12842|
|40-44|1256|<br>2063|5076|<br>10049|<br>13048|<br>12857|<br>12812|<br>12810|
|45-49|1035|<br>1650|<br>3978|<br>8959|<br>12800|<br>12658|<br>12719|<br>12766|
|50-54|838|1355|<br>3270|<br>7677|<br>12324|<br>12409|<br>12632|<br>12716|
|55-59|666|1066|<br>2593|<br>6467|<br>11398|<br>12149|<br>12549|<br>12613|
|60-64|512|825|2004|<br>5293|<br>10167|<br>12194|<br>12369|<br>12381|
|65-69|373|603|1483|<br>4102|<br>8713|11749|<br>11841|<br>11888|
|70-74|250|404|1000|<br>2806|<br>6972|10535|<br>10775|<br>10956|
|75+|245|379|1009|<br>3146|9108|17718|<br>21249|<br>22478|
|TOTAL|31425|<br>50785|<br>98888|<br>149019|<br>187127|<br>205138|<br>209830|<br>211463|
|BIRTH<br>RATE||45.0|34.9|22.2|15.8|13.6|12.9|12.8|
|DEATH<br>RATE||12.6|8.6|6.3|7.2|10.3|12.1|12.5|
|NET MIGRAT|ION<br>RATE|-. 1|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE||3.24|2.68|1.63|.88|.33|.08|.03|
|TOTAL FERTI|LITY|6.228|4.432|2.621|2.072|2.051|2.040|2.039|
|eCO) BOTH|SEXES|54.92|61.14|68.52|74.46|76.70|78.32|78.74|
|IR-<br>BOTH S|EXES|98.7|65.8|37.3|16.2|10.9|7.4|6.9|
# OCCIDENTAL AND CENTRAL

# AFRICA DEPARTMENT (AFI)
64 BENIN Projection **(000s)** with **NRR=l** by 2035

|.**.................**......................................<br>AGE GROUP<br>1985|1990|...........................<br> <br>1995|.............................................<br> <br>2000|.....................<br>2005|2010|2015|<br>2020|<br>2025|<br>2030|
|---|---|---|---|---|---|---|---|---|---|
|.............................................................................|.............................|........................||||||||
|TOTAL<br>**M+F**<br>4043|4741|<br>5486|<br>6316|7241|<br>8232|9249|<br>10245|<br>1120|7<br>12113|
|MALES||||||||||
|0-4<br>387|454|484|<br>536|593|637|<br>661|<br>661|<br>655|<br>638|
|5-9<br>299|368|<br>434|466|520|577|621|646|<br>648|<br>643|
|10-14<br>235|294|363|429|41|515|<br>572|<br>616|<br>641|<br>644|
|15-19<br>197|230|290|<br>358|423|455|509|566|<br>610|<br>636|
|20-24<br>161|192|225|<br>283|350|415|447|500|<br>557|<br>602|
|25-29<br>136|156|186|<br>218|275|<br>341|405|437|<br>491|<br>547|
|30-34<br>112|130|<br>150|<br>180|211|<br>267|332|395|<br>428|<br>481|
|35-39<br>95|107|125|<br>144|173|<br>204|259|<br>323|<br>385|<br>419|
|40-44<br>78|90|102|<br>119|138|<br>166|<br>197|<br>250|<br>313|<br>375|
|45-49<br>66|73|84|96|113|<br>131|<br>158|<br>188|<br>240|<br>301|
|50-54<br>53|61|<br>67|78|89|105|<br>122|<br>149|<br>177|<br>228|
|55-59<br>43|47|55|60|70|<br>el|96|112|<br>137|<br>164|
|60-64<br>32|37|40|47|52|61|<br>71|<br>84|99|122|
|65-69<br>23|26|29|32|38|<br>43|50|59|<br>70|<br>84|
|70-74<br>15|17|<br>19|<br>21|24|28|<br>32|38|<br>45|54|
|75+<br>14|14|<br>16|<br>l8|21|<br>23|28|<br>32|39|47|
|TOTAL<br>1947|2296|2670|3087|3551|4048|4558|5056|<br>5535|<br>5985|
|FEMALES||||||||||
|0-4<br>401|450|480|530|586|<br>629|652|652|645|<br>629|
|5-9<br>313|382|431|<br>463|515|<br>571|<br>615|<br>639|641|<br>636|
|10-14<br>254|308|<br>376|426|458|510|<br>566|610|635|<br>637|
|15-19<br>212|250|303|371|420|453|505|561|605|<br>631|
|20-24<br>178|206|244|296|364|413|445|498|554|<br>599|
|25-29<br>147|173|<br>201|238|289|355|404|437|490|<br>546|
|30-34<br>122|141|167|195|231|281|347|396|429|<br>482|
|35-39<br>104|117|<br>136|<br>162|l88|224|274|339|388|<br>421|
|40-44<br>84|99|113|131|156|<br>182|<br>217|266|331|<br>379|
|45-49<br>72|80|95|<br>108|126|<br>1so|<br>175|<br>210|<br>258|<br>322|
|50-54<br>59|68|76|90|102|<br>119|<br>143|<br>168|<br>202|<br>249|
|55-59<br>48|54|63|70|83|95|112|134|159|<br>192|
|60-64<br>38|42|48|<br>56|63|75|<br>86|102|<br>123|<br>147|
|65-69<br>29|32|.<br>36|41|48|<br>54|65|75|90|110|
|70-74<br>18|22|24|28|32|37|43|<br>52|61|74|
|75+<br>17<br>|19<br>|23<br>|26<br>|30|35|42|50|61|74|
|TOTAL<br>2096|2445|2816|3229|3689|4183|4691|<br>5189|5672|<br>6128|
|BIRTN RATE|47.8|43.2|40.7|38.5|35.9|32.7|29.1|26.0|23.1|
|DEATH RATE|15.7|14.0|12.5|11.2|10.2|9.4|<br>8.6|<br>8.0|7.5|
|RATE OF NAT. INC.|3.21|2.92|2.82|2.73|2.57|2.33|2.05|1.80|1.56|
|NET MIGRATION<br>RATE|2|||||||||
|<br>|-.|.0|.0|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|3.18|2.92|2.82|2.73|.57|2.33|2.05|1.80|1.55|
|TOTAL FERTILITY<br>6|.500|5.990|5.480<br>4|.970|4.460|3.950|3.440|3.010|2.633|
|NRR<br>2|.419|2.277|2.147<br>2|.010|1.837|1.657|1.470|1.310|1.166|
|**e(O)**<br>**-** BOTH SEXES<br>5|0.37|51.88|53.58<br>5|5.43|56.89|58.41|59.99|61.63|63-34|
|**e(lO)**BOTH SEXES<br>5|1.43|52.09|52.62<br>5|3.19|54.16|55.16|56.21|57.29|58.42|
|IMR BOTH SEXES<br>1<br>|15.9|106.6|94.8|81.8|75.6|69.3|63.1|56.8|50.6|
|q(5)<br>BOTH SEXES<br>**.**|**11Q0**|.1545|.1356<br>.|1150|.1060|.0969|.0877|.0785|.0693|
|<br> <br>DEP. RATIO<br>98.4|<br>101.3|<br>98.0|91.4|84.9|80.0|74.4|<br>67.6|<br>60.7|<br>54.4|
65 BENIN Projection (0009) with NRR-i by 2035

# Summry for 25 Year Periods

|.................<br>....................<br>AGE GROUP<br>1985|.............<br> <br>2000|<br>..........<br> <br>2025|.................<br> <br>2050|<br>2075|..........<br>......<br> <br>2100|..............<br> <br>2125|.....<br> <br>2150|
|---|---|---|---|---|---|---|---|
|. ...................<br>..<br>.|.....................................|.......................................|||||.....<br>..... ..|
|TOTAL M.F<br>4043|6316|<br>11207|<br>15364|<br>18121|<br>19077|<br>19454|<br>19610|
|MALES||||||||
|0-4<br>387|536|<br>655|<br>635|628|<br>626|<br>627|<br>627|
|5-9<br>299|466|648|<br>629|622|<br>624|<br>626|<br>627|
|10-14<br>235|429|641|<br>611|617|<br>623|<br>626|<br>626|
|15-19<br>197|358|610|<br>598|616|<br>623|<br>625|<br>625|
|20-24<br>161|283|<br>557|<br>618|619|<br>623|<br>623|<br>624|
|25-29<br>136|218|<br>491|<br>625|624|<br>620|<br>621|<br>622|
|30-34<br>112|180|<br>428|<br>620|617|<br>614|<br>618|<br>620|
|35-39<br>95|144|<br>385|<br>607|596|<br>607|<br>615|<br>618|
|40-44<br>7X|119|<br>313|<br>569|579|<br>603|<br>613|<br>616|
|45-49<br>66|96|240|<br>509|592|<br>600|<br>608|<br>610|
|50-54<br>53|78|177|<br>435|586|<br>595|<br>597|<br>599|
|55-59<br>43|60|137|<br>361|559|<br>569|<br>573|<br>579|
|60-64<br>32|47|99|300|512|<br>518|<br>537|<br>548|
|65-69<br>23|32|70|214|429|<br>457|<br>487|<br>500|
|70-74<br>15|21|45|134|<br>322|<br>396|<br>416|<br>427|
|75+<br>14|18|39|114|<br>351|<br>580|<br>639|<br>663|
|TOTAL<br>1947|<br>3087|<br>5535|<br>7579|<br>8869|<br>9278|<br>9451|<br>9530|
|FEMALES||||||||
|0-4<br>401|530|645|<br>626|616|<br>613|<br>613|<br>613|
|5-9<br>313|463|641|<br>621|613|<br>612|<br>613|<br>613|
|10-14<br>254|426|635|<br>604||612|<br>615|<br>613|
|15-19<br>212|371|605|<br>593|61|614|<br>6:4|613|
|20-24<br>178|296|554|614|614|<br>615|<br>613|<br>613|
|25-29<br>147|238|490|624|622|<br>615|<br>613|<br>612|
|30-34<br>122|195|<br>429|<br>621|617|<br>610|<br>611|<br>612|
|35-39<br>104|162|<br>388|610|598|<br>606|<br>611|<br>612|
|40-44<br>84|131|<br>331|<br>574|585|<br>605|<br>612|<br>612|
|45-49<br>72|108|<br>258|<br>518|601|<br>607|<br>611|<br>610|
|50-54<br>59|90|202|<br>450|603|609|<br>607|<br>606|
|55-59<br>48|70|159|<br>383|588|<br>596|<br>596|<br>599|
|60-64<br>38|56|123|<br>330|558|<br>563|<br>580|<br>587|
|65-69<br>29|41|90|259|494|525|<br>557|<br>567|
|70-74<br>18|28|61|176|399|493|<br>516|<br>526|
|75.<br>17|26|61|181|525|<br>903|<br>1023|<br>1070|
|TOTAL<br>2096|3229|<br>5672|<br>7786|<br>9252|<br>9799|<br>10003|<br>10081|
|BIRTH RATE|43.5|31.7|19.5|14.9|13.4|13.0|12.8|
|DEATH<br>RATE|'3.9|9.3|7.1|8.4|11.4|12.2|12.5|
|NET MIGRATION<br>RATE|-.1|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|2.97|2.29|1.26|.66|.21|.08|.03|
|TOTAL FERTILITY|5.933|3.823|2.263|2.069|2.052|2.041|2.039|
|e(O)- B0THSEXES|52.10|58.82|67.2'|73.95|76.39|78.12|78.57|
|<br>INR- BOTH<br>SEXES|105.3|69.1|38.2|17.0|11.2|7.5|6.9|
66

|CAMEROON<br>,,,,,,,,<br>....<br>,.....<br>.,.....|.....................................|Proje<br>......................................|ction<br>0ooo<br>............................|s)with**NRR**|**u1**by 2045|||||
|---|---|---|---|---|---|---|---|---|---|
|AGE GROUP<br>1985|1990|<br>l195|2000|<br>2005|<br>2010|<br>2015|2020|<br>2025|<br>2030|
|.....................................................................|......................................|.......................||||||||
|TOTAL M+F<br>10191|<br>11971|13951|<br>16324|<br>19188|<br>22370|<br>2s7s2|2937|33032|<br>36645|
|MALES||||||||||
|0-4<br>970|1117|1233|<br>1448|<br>1717|<br>1901|<br>2046|2154|2225|<br>2238|
|5-9<br>797|935|1083|<br>1203|<br>1421|<br>1687|<br>1871|2018|<br>2127|<br>2201|
|10-14<br>559|788|925|1074|<br>1194|<br>1412|<br>1677|1861|<br>2008|<br>2118|
|15-19<br>478|552|779|916|1064|<br>1184|<br>1401|1665|<br>1849|<br>1997|
|20-24<br>401|<br>470|543|767|903|1050|<br>1170|1385|<br>1649|<br>1832|
|25-29<br>345|393|460|533|754|<br>**888**|<br>1034|1154|<br>1368|<br>1630|
|30-34<br>298|337|384|451|<br>523|<br>740|<br>873|<br>1019|<br>1138|<br>1351|
|35-39<br>256|290|328|375|441|<br>512|<br>726|<br>858|1002|<br>1122|
|40-44<br>192|<br>247|280|318|<br>364|<br>429|<br>499|709|840|<br>983|
|45-49<br>173|<br>183|<br>237|269|306|351|<br>414|<br>483|689|818|
|50-54<br>1SO|<br>162|173|<br>223|254|<br>290|<br>333|395|<br>463|662|
|55-59<br>126|137|<br>149|<br>159|<br>206|235|<br>269|311|370|435|
|60-64<br>102|<br>Ill|121|<br>132|<br>141|<br>183|<br>211|<br>243|<br>281|<br>337|
|<br> <br>65-69<br>77|<br> <br>84|<br>92|<br> <br> <br>101|<br> <br> <br>110|<br> <br> <br>l18|<br> <br> <br>lss|<br> <br>180|<br> <br> <br>208|<br><br>243|
|70-74<br>53|**58**|<br>64|70|77|<br>85|92|121|<br>142|<br>_166_|
|75.<br>48|54|60|67|75|<br>83|94|104|<br>131|<br>158|
|TOTAL<br>5027|<br>5918|6912|8105|<br>9548|<br>11148|<br>12866|<br>14660|<br>190|1291|
|FEMALES||||||||||
|0-4<br>959|<br>1105|<br>1217|<br>1428|<br>1690|<br>1871|<br>2014|2119|<br>2188|<br>2200|
|5-9<br>794|926|1073|<br>1191|<br>1405|<br>1666|<br>1846|1991|<br>2098|<br>2170|
|10-14<br>561|785|917|1065|<br>1183|<br>1397|<br>1657|1838|<br>1983|<br>2091|
|15-19<br>480|554|_m7_|<br>908|1056|<br>1174|<br>1387|1647|<br>1828|<br>1974|
|20-24<br>407|473|546|766|897|1044|<br>1162|1374|<br>1634|<br>1815|
|25-29<br>353|399|464|537|753|883|<br>1030|1148|<br>1360|<br>1619|
|30-34<br>310|346|391|455|527|740|<br>869|1015|<br>1134|<br>1346|
|35-39<br>268|302|337|383|us|516|<br>727|855|1001|<br>1120|
|40-44<br>205|260|294|328|372|<br>434|<br>505|<br>713|<br>840|985|
|45-49<br>184|198|252|284|318|361|<br>423|492|697|824|
|50-54<br>163|<br>176|<br>189|<br>241|<br>272|305|<br>348|408|477|677|
|55-59<br>140|<br>153|<br>165|<br>178|<br>226|25|289|331|<br>390|458|
|60-64<br>117|<br>127|<br>139|<br>1SO|<br>162|<br>208|<br>237|269|309|366|
|65-69<br>92|<br>101|<br>110|<br>121|<br>131|<br>142|<br>183|<br>211|241|<br>280|
|70-74<br>65|73|<br>81|<br>8s|<br>97|<br>106|<br>117|<br>152|177|204|
|75.<br>66|75|85|<br>95|<br>106|<br>118|<br>133|<br>149|<br>186|<br>226|
|TOTAL<br>5164|6053|7039|8218|<br>9640|<br>11223|<br>12927|<br>14712|<br>16542|<br>18353|
|BIRTHRATE|45.1|41.8|41.4|41.2|38.7|35.8|32.7|29.7|26.6|
|DEATH RATE|12.9|11.3|100.|8.9|8.1|7.3|6.7|6.2|5.8|
|RATE OFMAT.INC.|3.22|3.06|3.14|3.23|3.07|2.85|2.60|2.35|2.08|
|NETMIGRATION<br>RATE|0|0|0|0|0|0|0|0|0|
|<br> <br>GROWTH<br>RATE|.<br>3.22|.<br>3.06|.<br>3.14|.<br>3.23|.<br>3.07|.<br>2.85|.<br>2.60|.<br>2.35|.<br>2.08|
|TOTAL FERTILITY|6.500|6.238|5.975|5.712|5.203|4.693|4.183|3.673|3.163|
|NRR|2.612|2.565|2.522|2.471|2.278|2.080|1.876|1.667|1.453|
|eCO) - BOTHSEXES|56.18|57.99|S9.2|61.37|62.56|63.77|65.03|66.33|67.66|
|e(1o) - BOTH SEXES|55.57|56.19|56.63|57.02|57.82|58.64|59.49|60.37|61.27|
|IMR- BOTHSEXES|93.9|82.4|70.3|58.7|54.2|49.6|45.1|40.6|36.1|
|q(5)<br>BOTH SEXES|1342|1160|0969|0788|0725|0662|0599|0536|0473|
|<br> <br>DEP. RATIO<br>97.9|.<br>103.9|.<br> <br>99.0|.<br>94.9|.<br> <br>92.2|.<br> <br>89.8|.<br> <br>85.5|.<br> <br>78.3|.<br> <br>71.0|.<br> <br>64.0|
67 Projection **(000s)** with NRRxI by 2045

# CAIEROON

# Suummry for 25 Year Periods

|AGE GROJP<br>1985|<br>2000|2025|2050|2075|2100|2125|2150|
|---|---|---|---|---|---|---|---|
|.........................................................................|........................................|...........................||||||
|TOTAL<br>M+F<br>10191|16324|33032|49776|62047|66867|67858|<br>6820|
|MALES||||||||
|0-4<br>970|1448|2225|2122|2156|2174|2178|2178|
|5-9<br>797|1203|2127|2103|2165|2177|2177|2176|
|10.14<br>559|1074|<br>2008|2193|2186|2178|2174|2173|
|15-19<br>478|916|1849|2227|2190|2167|2166|2169|
|20-24<br>401|76r|1649|2191|2151|2148|2159|2165|
|25-29<br>345|533|1368|2158|209..|2135|2156|2162|
|30-34<br>298|451|1138|2065|2071|2140|<br>2157|2158|
|35-39<br>256|375|1002|1935|2153|2155|2153|2150|
|40-44<br>192|318|840|1763|2174|2150|2135|2136|
|45-49<br>173|269|689|1550|2119|2099|2101|2114|
|50-54<br>150|223|463|1255|2050|2008|2059|2083|
|55-59<br>126|159|370|1000|1894|1926|2006|2026|
|60-64<br>102|<br>132|281|819|1669|1894|1917|1921|
|65-69<br>77|101|208|611|1374|1741|1749|<br>1745|
|70-74<br>53|70|142|415|1021|1451|1469|1480|
|75+<br>48|67|131|341|1069|2050|2245|2335|
|TOTAL<br>5027|8105|16490|24749|30538|32593|33001|<br>33168|
|FEMALES||||||||
|0-4<br>959|1428|2188|2084|2114|2127|2129|2129|
|5-9<br>794|1191|2098|2069|2126|2134|2131|2128|
|10-14<br>561|1065|1983|2162|2150|2137|2129|2127|
|15-19<br>480|908|1828|2199|2158|2130|2125|2126|
|20-24<br>407|766|1634|2170|2130|2116|2122|2126|
|25-29<br>!53|537|1360|2144|2076|2109|2125|2128|
|30-34<br>310|455|1134|2057|2060|2121|2131|2129|
|35-39<br>268|383|1oo1|1931|2149|2143|2133|2126|
|40-44<br>205|-328|840|1766|2179|2147|2124|2119|
|45-49<br>184|284|697|1562|2139|2111|2104|2111|
|50-54<br>163|241|477|1280|2092|2043|2086|2103|
|55-59<br>140|178|390|1041|1973|2002|2075|2089|
|60-64<br>117|150|309|882|1799|2041|<br>2058|2055|
|65-69<br>92|121|241|690|1559|1983|1966|1975|
|70-74<br>65|88|177|503|1245|<br>1787|1809|1818|
|75+<br>66|95|186|486|1561|<br>3142|3591|3761|
|TOTAL<br>5164|8218|16542|25027|31509|34273|34857|35051|
|BIRTHRATE|42.6|34.8|21.5|15.5|13.4|12.9|12.7|
|DEATH<br>RATE|11.2|7.2|5.4|6.8.|10.4|12.3|12.5|
|NETMIGRATION<br>RATE|.0|.0|.0|**.0**|.0|.0|.0|
|GROWTH<br>RATE|<br>3.14|<br>2.82|<br>1.64|.88|<br>.30|<br>.06|.02|
|TOTAL FERTILITY|6.195|4.518|2.490|2.054|2.045|2.040|2.039|
|**e(O)-** BOTH<br>SEXES|58.15|64.16|70.75|75.70|77.33|78.47|78.75|
|<br>INR**-** BOTH SEXES|81.3|49.1|27.2|12.2|9.1|7.0|6.7|
68

|CENTRAL<br>AFRICAM REP.<br>................................................................................................|..................................|Proj|ection(00t|,|wIth NRR=1 b|y 2035|||||
|---|---|---|---|---|---|---|---|---|---|---|
|AGEGROLtP<br>1985|1990|<br>1995|<br>2000||2005|2010|2015|<br>2020|<br>2025|<br>2030|
|TOTAL M+F<br>2583|2961|<br>3365|<br>3828||4351|4892|5443|<br>5994|<br>6535|<br>7049|
|MALES|||||||||||
|0-4<br>211|251|274|311||350|366|377|381|<br>380|<br>371|
|5-9<br>169|199|<br>238|262||299|338|354|366|372|<br>372|
|10-14<br>177|167|<br>196|<br>235||259|296|<br>335|<br>351|363|<br>369|
|15-19<br>139|174|<br>164|<br>193||232|255|<br>292|<br>331|<br>348|<br>360|
|20-24<br>98|136|<br>170|<br>161||189|227|<br>251|<br>288|<br>326|<br>343|
|25-29<br>71|96|<br>132|<br>166||157|185|<br>223|<br>246|<br>283|<br>321|
|30-34<br>62|69|<br>93|<br>129||162|153|<br>181|<br>218|<br>242|<br>278|
|<br> <br>35-39<br>60|<br>60|<br> <br> <br>67|<br> <br> <br>90|<br>|<br>124|<br>157|<br> <br> <br>149|<br> <br> <br>176|<br> <br> <br>213|<br><br> <br>237|
|40-44<br>**58**|57|57|64||86|120|<br>152|<br>144|<br>171|<br>208|
|45-49<br>53|54|<br>54|<br>54||61|82|<br>115|<br>146|<br>139|<br>165|
|50-54<br>47|49|<br>51|<br>50||51|57|<br>77|<br>108|<br>138|<br>132|
|55-59<br>38|43|<br>4S|<br>46||46|46|<br>52|<br>71|<br>100|<br>128|
|60-64<br>29|33|<br>37|<br>39||40|40|<br>41|<br>46|<br>63|<br>90|
|65-69<br>14|24|<br>27|<br>30||32|33|<br>33|<br>34|<br>39|<br>54|
|70-74<br>11|10|<br>18|<br>20||22|24|<br>25|<br>25|<br>26|<br>30|
|75+<br>5|9|<br>10|<br>15||19|22|<br>25|<br>27|<br>29|<br>30|
|TOTAL<br>1243|1431|<br>1633|<br>1865||2128|2401|<br>2680|<br>2959|<br>3232|<br>3489|
|FEMALES|||||||||||
|0-4<br>210|250|<br>272|<br>308||346|362|<br>372|<br>376|<br>375|<br>366|
|5-9<br>177|198|<br>237|<br>260||297|335|<br>351|<br>362|<br>368|<br>368|
|10-14<br>169|174|<br>195|<br>234||257|294|<br>35Z|<br>348|<br>360|<br>366|
|15-19<br>129|166|<br>171|<br>192||230|254|<br>291|<br>329|<br>345|<br>357|
|20-24<br>105|126|163|168||188|227|250|287|325|<br>342|
|25-29<br>90|102|123|159||165|185|223|246|283|<br>321|
|30-34<br>81|88|100|120||156|161|181|<br>219|242|<br>279|
|35-39<br>78|79|85|97||117|152|157|177|215|<br>239|
|40-44<br>74|75|76|82||94|113|148|153|174|<br>211|
|45-49<br>67|71|72|73||79|90|110|143|149|<br>169|
|50-54<br>56|63|<br>68|<br>68||69|76|<br>87|<br>105|<br>138|<br>144|
|55-59<br>44|52|59|<br>63||64|65|71|82|100|<br>131|
|60-64<br>30|39|<br>-<br>47|<br>53||57|58|59|<br>65|76|93|
|65-69<br>14|26|34|<br>40||45|49|51|52|58|67|
|70-74<br>11|11|20|27||32|36|<br>40|41|43|<br>48|
|75+<br>5|10|11|19||27|34|<br>41|48|53|<br>57|
|TOTAL<br>1340|1530|1733|<br>1964||2223|2490|2763|3035|<br>3303|<br>3559|
|BIRTH RATE<br>|42.9|40.5|39.7||38.5|35.2|32.1|29.0|26.2|23.3|
|DEATH RATE<br>|15.6|14.8|13.9||12.9|11.8|<br>10.7|<br>9.7|<br>8.9|8.2|
|RATE OF NAT. INC.<br>|2.73|2.56|2.58||2.56|2.34|2.14|1.93|1.73|1.51|
|NET MIGRATION<br>RATE|.0|.0|.0||.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE<br>|2.73|2.56|2.58||2.56|2.34|2.14|1.93|1.73|1.51|
|TOTAL FERTILITY<br>5|.750|5.543|5.335|5|.128<br>4|.618|4.108|3.598|3.114|2.695|
|NRR<br>2|.091|2.057|2.040|2|.025<br>|1.861|1.690|1.511|1.335|1.178|
|eCO) - BOTH SEXES<br>5|0.00|51.40|53.04|5|4.83<br>5|6.35|57.93|59.56|61.24|62.99|
|etlO)- BOTH SEXES<br>5|3.13|53.64|54.04|5|4.45<br>5|5.32|56.22|57.15|58.11|59.11|
|IMR- BOTH SEXES<br>1|31.8|122.8|110.9||97.6|89.8|82.1|74.3|66.6|58.8|
|q(5)-BOTH SEXES<br>.|1957|1809|1614||1400<br>|1287|113|1058|0942|0826|
|<br> <br>DEP. RATIO<br>83.1|<br>81.2|.<br> <br>83.5|.<br> <br>85.2|.<br>|<br>.<br>83.9|<br>81.0|.,<br>75.1|.<br> <br>67.4|.<br> <br>60.6|.<br> <br>55.0|
69 Projection (000s) with **NRR-1** by 2035

# CENTRAL AFRICAN REP.

# Sugmry for 25 Year Periods

|..<br>,..........<br>......<br>AGE GROUP|..............<br>1985|_....<br>2000|.......................................<br>2025|....................<br>2050|2075|2100|2125|..<br>...<br>2150|
|---|---|---|---|---|---|---|---|---|
|...<br>..<br>... .<br>.|.<br>.<br>.<br>.|.<br>.<br>.<br>.<br>.<br>.|.<br>.<br>.<br>.<br>.<br>.|.<br>.<br>.<br>.<br>.|.<br>.<br>.<br>.<br>.<br>.|.<br>.<br>.<br>.<br>.<br>.|.<br>.<br>.......|......|
|TOTAL**M+F**|2583|3828|6535|8859|10423|10976|11199|<br>11292|
|MALES|||||||||
|0-4|211|311|380|366|361|361|361|<br>361|
|5-9|169|262|372|361|358|359|360|361|
|10-14|177|235|363|350|355|359|360|361|
|15-19|139|193|348|344|355|359|360|<br>360|
|20-24|98|161|326|358|357|359|359|359|
|25-29|71|166|283|361|359|357|357|358|
|30-34|62|129|242|356|354|353|356|357|
|35-39|60|90|213|344|341|349|354|356|
|40-44|58|64|171|325|333|347|353|355|
|45-49|53|54|139|300|343|346|350|351|
|50-54|47|50|138|253|339|342|343|345|
|55-59|38|46|100|205|320|326|330|333|
|60-64|29|39|63|167|290|296|309|315|
|65-69|14|30|39|118|245|262|281|288|
|70-74|11|20|26|78|189|229|240|246|
|75+|5|15|29|86|201|332|366|381|
|TOTAL|1243|1865|3232|4374|5099|5337|5440|5488|
|FEMALES|||||||||
|0-4|210|308|375|361|355|353|353|353|
|5-9|177|260|368|357|352|353|353|353|
|10-14|169|234|360|347|351|353|353|353|
|15-19|129|192|345|341|352|354|354|353|
|20-24|105|168|325|357|355|355|353|353|
|25-29|90|159|283|361|358|354|353|353|
|30-34|81|120|242|357|354|351|352|353|
|35-39|78|97|215|346|343|349|352|353|
|40-44|74|82|174|329|336|349|352|353|
|45-49|67|73|1C9|306|349|350|352|351|
|50-54|56|68|138|262|349|351|349|349|
|55-59|44|63|100|218|338|342|343|345|
|60-64|30|53|76|184|316|323|334|338|
|65-69|14|40|58|137|282|302|321|727|
|70-74|11|27|43|102|234|285|298|303|
|75+|s|19|53|121|299|517|587|615|
|TOTAL|1340|1964|3303|4486|5324|5639|5759|5805|
|BIRTH RATE||40.9|31.5|19.6|14.9|13.4|13.0|12.8|
|DEATH<br>RATE||14.7|10.6|7.5|8.5.|11.4|12.2|12.5|
|NETMIGRAT|ION<br>RATE|.0|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE||2.62|2.14|1.22|.65|.21|.08|.03|
|TOTAL<br>FERTI|LITY|5.525|3.980|2.287|2.071|2.052|2.041|2.039|
|**e(O)-** BOTH S|EXES|51.61|58.32|66.98|73.75|76.28|78.08|78.54|
|**IMR-** BOTH S|EXES|121.2|81.9|43.5|17.6|11.5|7.6|7.0|
70

|CONGO,<br>PEOPLE'S REP. O<br>.<br>................................................................|F T<br>........|HE<br>.............................|Proje<br>............................|ction(000|s)<br>with NRRu|iby2050|||||
|---|---|---|---|---|---|---|---|---|---|---|
|AGEGROIP<br>1985||1990|<br>1995|2000|<br>2005|2010|2015|<br>2020|<br>2025|<br>2030|
|.....................................................................|........|.............................|........................||||||||
|TOTALM+F<br>1945||2327|<br>2768|3297|<br>3937|4653|5450|<br>6326|<br>7262|<br>8226|
|KALES|||||||||||
|0-4<br>176||231|<br>265|<br>312|<br>370|<br>414|<br>460|<br>504|<br>541|<br>562|
|5-9<br>138||169|<br>224|<br>258|<br>306|<br>364|<br>407|<br>454|<br>498|<br>535|
|10-14<br>124||135|<br>167|<br>221|<br>256|<br>304|<br>361|<br>405|<br>451|<br>496|
|15-19<br>107||122|<br>134|<br>165|<br>219|<br>253|<br>301|<br>359|<br>402|<br>449|
|20-24<br>8S||105|120|132|<br>163|216|251|298|<br>355|<br>39)|
|25-29<br>64||83|103|118|<br>129|160|213|247|<br>295|<br>352|
|<br> <br>30-34<br>46||<br>62|<br>82|<br>101|<br> <br> <br>116|<br>127|<br>158|<br>210|<br> <br>244|<br><br> <br>291|
|35-39<br>38||45|61|80|99|114|125|155|<br>208|<br>241|
|40-44<br>33||36|43|59|78|97|111|123|<br>153|<br>205|
|45-49<br>31||32|35|42|57|76|95|109|<br>120|<br>150|
|50-54<br>28||30|31|34|40|55|73|91|105|<br>117|
|55-59<br>24||26|28|29|<br>32|38|52|70|87|100|
|60-64<br>20||22|24|26|<br>27|29|35|48|65|81|
|65-69<br>16||1t|<br>19|21|<br>23|23|26|31|43|57|
|70-74<br>10||12|14|1S|<br>17|19|19|21|26|34|
|75.<br>7||11|14|17|<br>19|22|24|26|29|33|
|TOTAL<br>947||1139|<br>1361|1628|<br>1951|2312|2713|<br>3153|3622|<br>4103|
|FEHALES|||||||||||
|0-4<br>173||228|260|306|363|405|451|494|531|<br>551|
|5-9<br>136||167|221|254|301|358|400|446|490|<br>526|
|10-14<br>123||134|<br>165|<br>219|<br>253|<br>300|<br>356|<br>398|<br>444|<br>488|
|15-19<br>106||121|133|164|<br>218|251|298|354|397|<br>443|
|20-24<br>85||104|120|131|<br>162|216|249|296|352|<br>395|
|25-29<br>66||84|103|118|<br>130|161|214|247|294|<br>350|
|30-34<br>54||65|82|101|<br>117|128|159|212|245|<br>292|
|35-39<br>45||53|<br>64|81|<br>100|<br>115|<br>127|<br>157|<br>210|<br>243|
|40-44<br>38||43|52|63|80|98|113|125|<br>155|<br>208|
|45-49<br>36||37|42|50|61|78|96|111|<br>123|<br>153|
|50-54<br>34||35|36|41|49|60|76|94|109|<br>121|
|55-59<br>31||32|<br>33|34|<br>39|<br>47|<br>57|<br>73|<br>91|<br>106|
|60-64<br>26||29|<br>30|31|<br>32|<br>37|<br>44|<br>54|<br>70|<br>87|
|65-69<br>21||23|26|27|28|29|34|41|S0|<br>6S|
|70-74<br>14||17|19|22|23|24|25|29|35|44|
|75+<br>9||14|<br>20|24|<br>29|<br>33|<br>36|<br>38|<br>43|<br>51|
|TOTAL<br>998||1188|<br>1406|1669|<br>1986|2341|2737|<br>3173|3641|<br>4123|
|BIRTH RATE||47.3|44.7|43.6|42.8|40.1|37.7|35.4|32.7|29.7|
|DEATH RATE||11.5|10.0|8.6|7.4|6.7|6.1|5.6|5.1|4.8|
|RATE OF NAT. INC.||3.58|3.47|3.50|3.55|3.34|3.16|2.98|2.76|2.49|
|NET MIGRATION<br>RATE<br>||.0|.0|.0|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE||3.59|3.47|3.50|3.55|3.34|3.17|2.98|2.76|2.49|
|TOTALFERTILITY|6|.500|6.403|6.305|6.208|5.698|5.188|4.678|4.168|3.658|
|NRR|2|.662|2.697|2.733|2.762|2.559|2.352|2.141|1.926|1.706|
|e(0)- BOTH SEXES|5|8.68|61.29|63.69|65.87|66.83|67.80|68.79|69.80|70.83|
|etlO)- BOTH SEXES|5|7.35|58.76|59.87|60.81|61.41|62.01|62.63|63.25|63.89|
|IMR- BOTH SEXES||73.0|62.9|52.7|43.3|40.0|36.7|33.5|30.2|26.9|
|q(S)-BOTH SEXES||1148|0969|0791|0626|0576|0526|0475|0424|0373|
|<br>DEP. RATIO<br>94.8|.|<br>99.3|.<br> <br>104.3|.<br>106.1|.<br> <br>102.1|.<br> <br>97.3|.<br>91.2|.<br> <br>84.0|.<br> <br>78.0|.<br> <br>72.0|
ProjectiOn (000O) Aith **IRRal** by 2050

# CONGO, PEOPLE'S REP. OF THE

Surmry for 25 Y,tar Periods

|..........................................................................<br>AGE GROUP<br>1985|...............................<br> <br>2000|2025|<br>2050|<br>2075|<br>2100|2125|<br>2150|
|---|---|---|---|---|---|---|---|
|..........................................................................|...............................|||||||
|TOTAL<br>NF<br>1945|<br>3297|7262|<br>11m|15217|<br>16762|<br>17008|<br>17081|
|MALES||||||||
|0-4<br>176|312|541|526|<br>541|545|545|<br>545|
|5-9<br>138|258|496|547|<br>547|546|544|<br>544|
|10-14<br>124|221|451|557|<br>550|544|543|<br>543|
|15-19<br>107|165|402|<br>554|<br>544|<br>539|541|<br>542|
|20-24<br>85|132|355|551|<br>526|535|540|<br>542|
|25-29<br>64|118|**295**|<br>526|<br>**52ti**|537|541|<br>541|
|30-34<br>46|101|244|<br>485|<br>540|542|541|<br>540|
|35-39<br>38|80|208|<br>436|<br>548|<br>543|<br>538|<br>537|
|40-44<br>33|59|153|<br>386|543|535|531|<br>534|
|<br> <br>45-49<br>31|<br>42|<br>120|<br> <br> <br>337|<br> <br>536|<br>514|<br>524|<br><br> <br>530|
|50-54<br>28|34|105|<br>274|<br>502|**500**|518|<br>523|
|55-59<br>24|29|87|219|<br>448|504|508|<br>508|
|60-64<br>20|26|65|175|<br>381|485|<br>484|<br>481|
|65-69<br>16|21|43|117|<br>305|439|<br>437|<br>435|
|70-74<br>10|15|26|78|<br>227|371|<br>561|<br>370|
|75.<br>7|17|29|as|240|499|574|<br>591|
|TOTAL<br>947|1628|3622|<br>5855|<br>7502|<br>8178|8271|<br>8305|
|FEMALES||||||||
|0-4<br>173|306|531|<br>516|<br>530|533|533|<br>532|
|5-9<br>136|254|<br>490|537|<br>537|534|532|<br>532|
|10-14<br>123|219|<br>444|548|<br>541|**533**|531|<br>532|
|15-19<br>106|164|397|546|<br>536|530|531|<br>532|
|<br> <br>20-24<br>85|<br>131|<br>352|<br>545|<br> <br> <br>519|<br>527|<br> <br>531|<br><br> <br>532|
|25-29<br>66|118|294|521|<br>515|530|533|<br>532|
|30-34<br>54|101|245|482|<br>536|536|534|<br>532|
|35-39<br>45|81|210i|<br>4:6|545|539|532|<br>531|
|40-44<br>38|63|155|<br>**388**|<br>**543**|533|528|<br>529|
|45-49<br>36|,<br>50|1Z3|<br>342|539|516|524|<br>528|
|50-54<br>34|41|109|<br>282|<br>511|508|524|<br>528|
|55-59<br>31|34|91|231|<br>466|523|52|524|
|60-64<br>26|31|70|191|<br>411|521|519|<br>513|
|65-69<br>21|27|50|133|<br>348|498|495|<br>492|
|70-74<br>14|22|35|95|280|456|444|<br>455|
|75+<br>9|24|43|124|<br>359|767|920|<br>953|
|TOTAL<br>998|1669|3641|<br>5917|<br>7716|<br>**8585**|8737|<br>_8m_|
|BIRTH RATE|45.0|37.0|23.3|16.0|13.4|12.P|12.7|
|DEATH<br>RATE|9.9|6.0|4.5|5.9|9.6|!|12.5|
|NET MIGRATION<br>RATE|.0|.0|.0|.0|.0|0|.0|
|GROWTH<br>RATE|3.52|3.16|1.93|1.03|.39|.06|.02|
|TOTAL FERTILITY|6.402|5.003|2.752|2.047|2.042|2.039|2.039|
|e(O)- BOTH SEXES|61.51|68.12|M.18|76.77|77.89|75.67|78.87|
|<br>IMR- BOTH SEXES|61.9|36.1|20.4|9.7|8.0|6.8|6.5|
72

|COTE D'IVOIRE||Proje|ction(000|9)<br>with NRR=|1 by 2050|||||
|---|---|---|---|---|---|---|---|---|---|
|AGE GROUP<br>1985|1990|1995|<br>2000|<br>2005|2010|2015|<br>2020|<br>2025|<br>2030|
|TOTALM+F<br>10252|<br>12604|15065|<br>17828|<br>20985|24509|<br>28380|<br>32554|<br>36938|<br>41395|
|MALES||||||||||
|0-4<br>922|1287|1435|<br>1649|<br>1909|2156|2392|2588|<br>2731|<br>2805|
|5-9<br>733|881|1229|<br>1381|<br>1598|1853|2096|2333|2531|<br>2680|
|10-14<br>633|726|869|1213|<br>1364|1579|1831|<br>2074|2311|<br>2511|
|15-19<br>534|631|720|860|1197|1346|1558|<br>1809|<br>2051|<br>2289|
|20-24<br>393|545|631|713|<br>846|1174|1318|<br>1528|<br>1778|<br>2021|
|25-29<br>353|416|551|627|702|828|1144|<br>1287|<br>1496|<br>1745|
|30-34<br>360|372|422|547|<br>616|686|805|1115|<br> <br>1258|<br><br> <br>1466|
|35-39<br>317|370|373|417|534|599|665|783|1087|<br>1230|
|<br> <br>40-44<br>240|<br>319|<br>364|<br>365|<br>404|<br>51'|<br>578|<br>643|<br>759|<br><br> <br>1058|
|45-49<br>209|PI-|308|349|349|386|492|554|619|733|
|50-54<br>159|199|224|290|<br>328|328|364|466|526|<br>590|
|55-59<br>129|147|184|206|266|301|302|337|433|49.|
|60-64<br>87|1I5|131|163|<br>182|236|269|271|304|392|
|65-69<br>66|73|96|110|<br>136|153|200|229|232|261|
|70-74<br>37|51|56|74|84|105|118|156|180|<br>183|
|75+<br>31|38|50|**58**|73|87|108|128|163|<br>197|
|TOTAL<br>5201|6406|7642|9020|10588|12332|<br>14241|<br>16299|<br>18459|<br>20653|
|FEMALES||||||||||
|0-4<br>950|1274|1418|<br>1626|<br>1878|2121|2353|2546|2686|<br>2758|
|5-9<br>761|911|1223|<br>1371|<br>1582|1830|2070|2304|2499|<br>2645|
|10-14<br>627|754|901|1209|<br>1356|1566|1812|2052|2286|<br>2483|
|15-19<br>510|624|747|891|1193|1341|1548|1794|2034|<br>2269|
|20-24<br>346|514|622|741|880|1177|1320|1527|1772|<br>2013|
|25-29<br>365|355|514|617|729|864|1155|1298|1504|<br>1749|
|30-34<br>328|369|354|507|605|714|845|1131|1275|<br>1481|
|35-39<br>295|327|363|348|495|589|696|826|1108|<br>1252|
|40-44<br>224|289|318|353|338|479|572|<br>677|<br>836|1085|
|45-49<br>184|217|279|306|339|325|463|553|657|785|
|50-54<br>132|176|207|265|292|324|311|444|!33|636|
|55-59<br>1'4|124|164|194|<br>248|274|305|295|422|509|
|60-64<br>84|104|-<br>112|149|<br>176|227|251|282|273|<br>394|
|65-69<br>62|73|90|97|129|153|199|222|250|245|
|70-74<br>34|49|58|71|77|103|124|162|183|<br>209|
|75+<br>35|40|52|64|78|90|116|145|189|<br>229|
|TOTAL<br>5051|6198|7422|8808|10397|12178|14139|<br>16255|<br>18479|<br>20742|
|BIRTH RATE|50.6|46.0|43.8|42.3|40.5|38.4|3e9|33.0|29.9|
|DEATH RATE|14.6|13.3|12.0|10.7|9.9|<br>9.2|,<br>8.4|<br>7.7|7.1|
|RITE OF NAT.INC.|3.60|3.28|3.18|3.15|3.06|2.93|2.74|2.53|2.28|
|NET MIGRAIION RATE|5.2|2.9|1.8|1.1|.5|.0|.0|.0|.0|
|GROWTH<br>RATE|4.13|3.57|3.37|3.26|3.10|2.93|2.74|2.53|2.28|
|TOTAL FERTILITY|7.400|7.000|6.600|6.200|5.690|5.180|4.670|4.160|3.650|
|NRR|2.794|2.704|2.625|2.541|2.371|2.196|2.013|1.824|1.627|
|etO) - BOTH SEXES|52.49|53.77|55.28|56.95|58.36|59.82|61.32|62.89|64.51|
|e(IO) - BOTH SEXES|53.66|53.70|53.74|53.94|54.91|55.90|56.93|57.99|59.09|
|IMR - BOTH SEXES|95.9|86.4|75.0|63.3|58.8|54.2|49.6|45.1|40.5|
|q(5)-BOTH SEXES|.1565|1390|1184|0978|0902|0825|0749|0672|0595|
|<br>DEP. RATIO<br>91.3|<br>95.5|.<br>98.5|.<br> <br>100.1|.<br> <br>95.8|.<br>92.8|.<br>89.7|.<br> <br>84.8|.<br> <br>78.5|.<br> <br>71.1|
73

# CDTE D'IVOIRE ProJection (O'20) with NRR-1 by 2050

# Summary for 25 Year Periods

|AGE GRCJP<br>1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTAL M4F<br>10252|<br>17828|<br>36938|<br>58061|<br>74555|<br>82265|<br>84027|<br>84683|
|MALES||||||||
|0-4<br>922|1649|<br>2731|<br>2623|<br>2693|<br>2709|<br>2710|<br>2709|
|5-9<br>733|1381|<br>2531|<br>2719|<br>2715|<br>2710|<br>2705|<br>2704|
|10-14<br>633|1213|<br>2311|<br>2757|<br>2725|<br>2699|<br>2698|<br>2700|
|15-19<br>534|860|2051|<br>2728|<br>2692|<br>2677|<br>2690|<br>2697|
|20-24<br>393|713|1778|<br>2710|<br>2607|<br>2658|<br>2M85|<br>2693|
|25-29<br>353|627|1496|<br>2598|<br>2578|<br>2661|<br>2686|<br>2689|
|30-34<br>360|547|1258|<br>2415|<br>2668|<br>2680|<br>2684|<br>2681|
|35-39<br>317|417|1087|<br>2181|<br>2693|<br>2681|<br>2666|<br>2667|
|40-44<br>240|365|759|<br>1908|<br>2648|<br>2636|<br>2635|<br>2650|
|45-49<br>209|349|619|1626|<br>2603|<br>2532|<br>2598|<br>2629|
|50-54<br>159|290|526|1333|<br>2445|<br>2462|<br>2563|<br>2593|
|55-59<br>129|206|433|1071|<br>2188|<br>2467|<br>2506|<br>2518|
|60-64<br>87|163|304|859|<br>1850|<br>2350|<br>2378|<br>2376|
|65-69<br>66|<br>110|<br>232|<br>533|<br>1452|<br>2097|<br>2135|<br>2149|
|70-74<br>37|<br>74|<br>180|<br>359|<br>1038|<br>1753|<br>1760|<br>1824|
|75+<br>31|<br>58|<br>163|<br>369|<br>1067|<br>2308|<br>2741|<br>2881|
|TOTAL<br>5201|<br>9020|<br>18459|<br>28789|<br>36662|<br>40081|<br>40839|<br>41160|
|FEMALES||||||||
|0-4<br>950|<br>1626|<br>2686|<br>2579|<br>2643|<br>2653|<br>2650|<br>2647|
|5-9<br>761|<br>1371|<br>2499|<br>2682|<br>2672|<br>2658|<br>2649|<br>2646|
|10-14<br>627|<br>1209|<br>2286|<br>2723|<br>2687|<br>2652|<br>2644|<br>2645|
|15-19<br>510|<br>891|<br>2034|<br>2701|<br>2660|<br>2635|<br>2640|<br>2645|
|20-24<br>346|<br>741|<br>1772|<br>2693|<br>2586|<br>2625|<br>2642|<br>2647|
|25-29<br>365|<br>617|<br>1504|<br>2593|<br>2565|<br>2636|<br>2650|<br>2648|
|30-34<br>328|507|1275|<br>2422|<br>2665|<br>2664|<br>2655|<br>2646|
|35-39<br>295|<br>348|<br>1108|<br>2198|<br>2699|<br>2675|<br>2646|<br>2640|
|40-44<br>224|<br>353|<br>806|<br>1935|<br>2667|<br>2642|<br>2626|<br>2633|
|45-49<br>184|<br>306|<br>657|<br>1664|<br>2642|<br>2557|<br>2608|<br>2628|
|50-54<br>132|<br>265|<br>533|<br>1388|<br>2515|<br>2517|<br>2604|<br>2622|
|55-59<br>114|<br>194|<br>422|<br>1145|<br>2303|<br>2579|<br>2603|<br>2601|
|60-64<br>84|<br>149|<br>273|<br>953|<br>2022|<br>2549|<br>2562|<br>2546|
|65-69<br>62|97|<br>250|<br>643|<br>1678|<br>2405|<br>2435|<br>2438|
|70-74<br>34|71|183|<br>458|<br>1293|<br>2179|<br>2179|<br>2247|
|75+<br>35|64|189|<br>494|<br>1598|<br>3557|<br>4395|<br>4645|
|TOTAL<br>5051|8808|<br>18479|<br>29273|<br>37894|<br>42184|<br>43188|<br>43523|
|BIRTH RATE|46.4|37.3|23.7|16.3|13.7|12.9|12.8|
|DEATH<br>RATE|13.1|9.0|6.0|6.4|9.8|12.1|12.5|
|NET MIGRATION<br>RATE|3.1|.2|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|3.69|2.91|1.81|1.00|.39|.08|.03|
|TOTAL<br>FERTILITY|6.947|4.996|2.761|2.065|2.050|2.040|2.039|
|eCO)- BOTH<br>SEXES|54.01|60.29|68.30|74.44|76.66|78.22|78.62|
|<br>INR<br>- BOTH SEXES|85.0|53.5|31.6|15.6|10.6|7.4|6.9|
74

|EQUATORIAL<br>0.JINEA|Projec|tion<br>**COOOs**<br>w|**)**<br>ithNRRuIby|2035||
|---|---|---|---|---|---|
|AGEGROUP<br>1985|1990<br>1995|**2000**|2005|2010<br>2015<br>2020<br>2025|2030|
|.................................................................................|.................................................|||||
|TOTALN*F<br>_3n3_|417<br>467|525|584|646<br>710<br>774<br>837|896|
|MALES||||||
|0-4<br>28|35<br>38|**43**|44|46<br>48<br>48<br>49|<br>47|
|5-9<br>22|26<br>32|36|41|42<br>44<br>46<br>47|47|
|10-14<br>20|21<br>25|32|35|40<br>42<br>43<br>45|46|
|15-19<br>18|20<br>21|24|31|34<br>39<br>41<br>43|<br>45|
|20-24<br>16|17<br>19|20|74|30<br>34<br>38<br>40|<br>42|
|25-29<br>14|15<br>17|18|20|23<br>29<br>33<br>38|<br>39|
|30-34<br>12|13<br>1S|16|18|19<br>22<br>29<br>32|<br>37|
|35-39<br>11|11<br>13|14|16|17<br>18<br>22<br>28|<br>31|
|40-44<br>9|10<br>11|12|14|15<br>16 '<br>18<br>21|<br>27|
|45-49<br>8|8<br>10|10|12|13<br>14<br>16<br>17|<br>20|
|50-54<br>7|7<br>8|9|10|11<br>12<br>13<br>15|<br>16|
|55-59<br>6|6<br>7|7|8|9<br>10<br>11<br>12|<br>14|
|60-64<br>4|5<br>6|6|6|7<br>8<br>9<br>10|<br>11|
|65-69<br>3|3<br>4|S|5|5<br>6<br>7<br>8|<br>9|
|70-74<br>2|2<br>2|3|3|4<br>4<br>5<br>5|<br>6|
|75+<br>2|2<br>2|3|3|4<br>4<br>4<br>5|<br>6|
|TOTAL<br>182|204<br>229|<br>258|288|319<br>351<br>383<br>415|<br>444|
|FEMALES||||||
|0-4<br>28|35<br>38|42|44|45<br>47<br>48<br>48|<br>46|
|5.9<br>23<br> <br>|26<br>32<br> <br>|36<br>|40<br>|42<br>44<br>45<br>46<br> <br> <br> <br>|<br>47<br> <br>|
|10-14<br>21|22<br>25|32|35|40<br>41<br>43<br>45|<br>46|
|15-19<br>18|20<br>22|24|31|34<br>39<br>41<br>43|<br>45|
|20-24<br>16|17<br>20|21|24|30<br>34<br>38<br>40|<br>42|
|25-29<br>15|15<br>17|19|21|23<br>30<br>33<br>38|<br>40|
|30-34<br>13|14<br>15|16|19|20<br>23<br>29<br>32|<br>37|
|35-39<br>11|12<br>14|14|16|18<br>19<br>22<br>28|<br>32|
|40-44<br>10|10<br>12|13|14|15<br>17<br>19<br>21|<br>28|
|45-49<br>9|9<br>10|11|13|13<br>15<br>17<br>18|<br>21|
|50-54<br>7|8<br>9|9|11|12<br>13<br>14<br>16|<br>18|
|55-59<br>6|6<br>8|8|9|10<br>11<br>12<br>13|<br>15|
|60-64<br>5|5<br>6|7|7|8<br>9<br>10<br>11|<br>12|
|65-69<br>4|4<br>4|5|6|6<br>7<br>8<br>9|<br>10|
|70-74<br>3|3<br>3|3|4|5<br>5<br>5<br>6|<br>7|
|75+<br>2|3<br>3|3|4|4<br>5<br>6<br>7<br> <br> <br>|8<br>|
|TOTAL<br>191|213<br>237|266|296|327<br>359<br>391<br>423|452|
|BIRTHRATE<br>4|2.3<br>40.3|39.4<br>|35.7<br>|33.0<br>30.8<br>28.3<br>25.9|23.1|
|OEATH RATE<br>1|9.8<br>17.9|16.1<br>|14.1<br>|13.0<br>12.0<br>11.0<br>10.2|9.4|
|RATE OF NAT. INC.<br>2|.25<br>2.24|2.34<br>|2.15<br>|2.00<br>1.89<br>1.73<br>1.57|1.37|
|NET MIGRATION<br>RATE|.0<br>.0|.0|.0|.0<br>.0<br>.0<br>.0|.0|
|GROWTH<br>RATE<br>2|.25<br>2.24<br>|2.34<br> <br> <br>|2.15<br> <br> <br>|2.00<br>1.89<br>1.73<br>1.57<br> <br> <br> <br>|1.37<br>|
|TOTAL FERTILITY<br>5.|500<br>5.500|5.500<br>4.|990<br>4|.480<br>3.970<br>3.460<br>3.041|2.672|
|NRR<br>1.|855<br>1.925|2.014<br>1.|909<br>1|.755<br>1.592<br>1.420<br>1.277|1.147|
|e(O) - BOTH SEXES<br>45|.52<br>47.96|50.43<br>5|2.89<br>5|4.49<br>56.15<br>57.87<br>59.65|61.51|
|e(1O)- BOTH SEXES<br>49|.84<br>51.05|51.95<br>5|2.74<br>5|3.71<br>54.71<br>55.74<br>56.81|57.92|
|IMR- BOTH SEXES<br>12|6.9<br>114.6|101.0<br>|87.1<br>|80.6<br>74.2<br>67.7<br>61.3|54.8|
|q(5)<br>BOTH SEXES<br>.2<br>OEP. RATIO<br>73.5|144<br>.1916<br>77.5<br>2.1|.1659<br>.1<br> <br>85.6|402<br>.<br>82.5|1291<br>.1180<br>.1068<br>.0956<br>78.0<br>71.8<br>66.6<br>62.0|.0843<br> <br>56.9|
75

# EQLATORIAL GUINEA Projection (000s) with NRR-1 by 2035

Sumnry for 25 Year Periods

|,<br>...............................................................<br>AGE GROW<br>1985|...................................<br> <br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|.........................................................................|.|....|.......................................|.................||||
|TOTAL<br>NsF<br>373|525|837|1109|<br>1299|<br>1371|<br>1402|<br>1415|
|MALES||||||||
|0-4<br>28|43|49|46|45|45|45|<br>45|
|5-9<br>22|36|47|45|45|45|45|<br>45|
|10-14<br>20|32|45|44|45|45|45|<br>45|
|15-19<br>18|24|43|43|45|45|45|<br>45|
|20-24<br>16|20|40|45|45|45|45|<br>45|
|25-29<br>14|18|38|46|45|45|45|<br>45|
|30-34<br>12|16|32|44|44|44|45|<br>45|
|35-39<br>11|14|28|42|43|44|44|<br>45|
|40-44<br>9|12|21|39|42|44|44|44|
|45-49<br>8|10|17|36|43|43|44|44|
|50-54<br>7|9|15|33|42|43|43|43|
|55-59<br>6|7|12|27|40|41|41|42|
|60-64<br>4|6|10|22|35|37|39|<br>40|
|65-69<br>3|5|8|14|29|33|35|36|
|70-74<br>2|<br>3|5|10|23|28|30|31|
|75+<br>2|3|5|10|26|41|45|48|
|TOTAL<br>182|258|415|548|<br>636|668|<br>682|<br>688|
|FEMALES||||||||
|0-4<br>28<br>|42|48|45|45|44|44|44|
|5-9<br>23|36|46|45|44|44|44|44|
|10-14<br>21|32|45|43|44|44|44|44|
|15-19<br>18|24|43|4.3|<br>44|44|44|44|
|20-24<br>16|21|40|45|44|44|44|44|
|25-29<br>15|19|38|46|45|44|44|44|
|30-34<br>13|16|32|45|44|44|44|44|
|35-39<br>11|14|28|43|43|44|44|44|
|40-44<br>10|13|21|40|42|44|44|44|
|45-49<br>9|11|18|37|44|44|44|44|
|50-54<br>7|9|16|34|44|44|44|44|
|55-59<br>6|8|13|29|42|43|43|43|
|60-64<br>5|7|11|24|39|40|42|42|
|65-69<br>4|5|9|17|34|37|40|41|
|70-74<br>3|3|6|12|28|35|37|38|
|75+<br>2|3|7|15|38|63|72|<br>76|
|TOTAL<br>191|266|423|561|663|704|<br>721|<br>727|
|BIRTH RATE|40.6|30.3|i9.6|15.1|13.5|13.0|12.8|
|DEATH<br>RATE|17.8|11.9|8.4|8.8|11.4|12.1|12.4|
|NET NIGRATION<br>RATE|.0|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|2.27|1.87|1.12|.63|.22|.09|.04|
|TOTAL FERTILITY|5.498|3.862|2.302|2.080|2.056|2.041|2.040|
|eCO)- BOTH<br>SEXES|48.16|56.52|65.74|73.05|75.89|77.92|78.45|
|<br>INR- BOTH SEXES|113.5|74.0|42.0|19.7|12.4|7.8|7.1|
76 GABON Projection (000s) with NRR-1 by 2045

|.**...........**.......................<br>..<br>AGE GROLP<br>1985|.............................<br>1990|.....................................<br> <br>1995|.....................................<br> <br>2000|.<br> <br>2005|2010|2015|2020|2025|<br>2030|
|---|---|---|---|---|---|---|---|---|---|
|<br> <br>.............................................................................|<br>.............................|<br> <br>........................|<br>|<br>|||||<br>|
|TOTALM+F<br>997|1135|<br>1296|<br>1488|<br>1721|1972|2248|2550|2872|<br>3201|
|KALES||||||||||
|0-4<br>73|97|111|<br>128|<br>152|163|178|193|206|<br>212|
|5-9<br>58|68|92|106|<br>124|147|158|173|189|<br>202|
|10-14<br>52|57|66|90|104|'22|145|157|172|<br>187|
|15-19<br>47|51|56|65|89|103|121|144|155|<br>170|
|20-24<br>42|46|50|55|<br>64|88|101|119|142|<br>153|
|25-29<br>37|41|<br>45|<br>49|<br>53|63|86|99|117|<br>139|
|30-34<br>33|36|<br> <br>40|<br> <br> <br>44|<br> <br> <br>47|<br>52|<br>61|<br>84|<br>98|<br><br> <br>115|
|35-39<br>2'|32|<br>35|<br>39|<br>42|46|51|60|82|<br>96|
|40-44<br>25|28|<br>30|<br>34|<br>37|41|45|49|59|<br>81|
|45-49<br>22|24|<br>27|<br>29|<br>33|36|40|43|48|<br>57|
|50-54<br>19|20|<br>23|<br>25|<br>28|31|34|38|42|<br>46|
|55-59<br>16|18|<br>19|<br>21|<br>23|26|29|32|36|<br>39|
|60-64<br>12|14|<br>16|<br>17|<br>19|21|23|26|29|<br>33|
|65-69<br>10|10|<br>12|<br>14|<br>15|16|18|20|23|<br>26|
|70-74<br>6|7|<br>8|<br>9|<br>11|12|13|15|16|<br>19|
|75+<br>6|7|<br>8|<br>9|<br>11|12|14|16|18|<br>20|
|TOTAL<br>487|556|<br>637|<br>734|<br>852|979|1117|1269|1430|<br>1595|
|FEMALES||||||||||
|0-4<br>71|97|<br>110|<br>127|<br>149|160|175|190|203|<br>208|
|5-9<br>60|67|<br>92|<br>105|<br>123|145|156|171|186|<br>199|
|10-14<br>54|59|<br>65|<br>90|<br>104|121|144|155|170|<br>185|
|15-19<br>48|53|<br>58|<br>65|<br>89|103|120|142|154|<br>169|
|20-24<br>43|47|<br>52|<br>57|<br>63|88|101|118|141|<br>152|
|25-29<br>39|42|<br>46|<br>51|<br>**56**|62|86|100|117|<br>139|
|30-34<br>35|38|<br>41|<br>45|<br>50|55|61|85|98|<br>115|
|35-39<br>30|34|<br>37|<br>40|<br>44|49|53|60|83|<br>96|
|40-44<br>27|29|<br>33|<br>35|<br>39|43|47|52|58|<br>81|
|45-49<br>23|26|<br>28|<br>32|<br>34|38|41|46|51|<br>57|
|50-54<br>20|22|<br>24|<br>27|<br>30|33|36|40|45|<br>49|
|55-59<br>17|19|<br>20|<br>23|<br>25|28|31|34|38|<br>43|
|60-64<br>14|15|<br>18|<br>19|<br>21|23|26|29|32|<br>36|
|65-69<br>11|13|<br>13|<br>15|<br>16|18|20|23|26|<br>29|
|70-74<br>8|9|<br>10|<br>11|<br>12|13|15|17|19|<br>22|
|75+<br>8|10|<br>11|<br>12|<br>13|15|17|19|22|<br>26|
|TOTAL<br>510|579|<br>659|<br>754|<br>869|993|1131|1281|1442|<br>1606|
|BIRTH<br>RATE<br>|41.8|40.9|40.6|40.8|37.9|35.9<br>|34.1<br>|31.9|29.1|
|DEATH RATE|15.8|14.5|13.1|11.7|10.7|9.7|<br>8.9|<br>8.1|7.4|
|RATE OF NAT. INC.<br>|2.60|2.64|2.76|2.91|2.72|2.62<br>|2.52|2.38|2.17|
|NET MIGRATION<br>RATE|.0|.0|.0|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE<br>|2.60|2.64|2.76|2.92|2.72|2.62<br>|2.52|2.38|2.17|
|TOTAL FERTILITY<br>5|.500|5.705|5.910|6.115<br>5|.605<br>|5.095<br>4|.585<br>4|.075|3.565|
|NRR<br>2|.052|2.194|2.350|2.510<br>2|.339<br>|2.163<br>1|.979<br>1|.789|1.592|
|e(O)- BOTH SEXES<br>5|2.30|54.43|56.51|58.52<br>5|9.88<br>|61.27<br>6|2.71<br>6|4.19|65.J2|
|e(IO)<br>- BOTH SEXES<br>5|4.56|55.24|55.71|56.12<br>5|6.95<br>|57.81<br>5|8.69<br>5|9.59|60.52|
|IMR - BOTH SEXES<br>1|02.9|91.2|78.5|66.1|61.1|56.0<br>|51.0<br>|46.0|41.0|
|q(5)- BOTH SEXES<br>.|1693|.1476|.1248|.1026<br>.|0943<br>|.0860<br>.|0777<br>.|0693|.0609|
|<br>DEP. RATIO<br>72.1|78.5|<br>85.7|<br>93.0|<br>93.9|92.1|<br>88.2|<br> <br>82.1|<br>77.0|<br>71.4|
77 Projection (0009) with NRRI1 by 2045 GABON Sumory for 25 Year Periods

|........<br>......... .......<br>...........<br> <br>AGE GROW<br>P<br>1985|..<br>...<br>. .............<br> <br>2000|.................<br> <br>2025|.......<br> <br>2050|................<br> <br>2075|........................<br> <br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|.............<br>.........................||..<br>..<br>..............|.......................................|.....||||
|TOTALM+F<br>997|1488|<br>2872|<br>4352|<br>5517|<br>6017|<br>6121|<br>6161|
|MALES<br> <br>||||||||
|0-4<br>73|128|<br>206|<br>191|<br>194|<br>196|<br>197|<br>197|
|5-9<br>58|106|<br>189|<br>187|<br>195|<br>197|<br>197|<br>197|
|10-14<br>52|90|172|<br>197|<br>198|<br>197|<br>197|<br>196|
|15-19<br>47|65|155|<br>204|<br>200|<br>196|<br>196|<br>196|
|20-24<br>42|55|142|<br>205|<br>196|<br>194|<br>195|<br>196|
|25-29<br>37|49|117|<br>197|<br>188|<br>192|<br>195|<br>195|
|30-34<br>33|44|98|182|<br>183|<br>193|<br>195|<br>195|
|35-39<br>29|39|82|164|<br>192|<br>195|<br>195|<br>194|
|40-44<br>25|34|59|146|<br>198|<br>196|<br>193|<br>193|
|45-49<br>22|29|48|132|<br>198|<br>191|<br>190|<br>191|
|50-54<br>19|25|42|106|<br>186|<br>180|<br>185|<br>188|
|55-59<br>16|21|36|85|165|<br>170|<br>180|<br>183|
|60-64<br>12|17|29|67|140|<br>169|<br>173|<br>174|
|65-69<br>10|14|23|42|113|<br>158|<br>159|<br>158|
|70-74<br>6|9|16|29|85|<br>134|<br>133|<br>133|
|75.<br>6|9|18|33|87|<br>178|<br>199|<br>210|
|TOTAL<br>487|<br>734|1430|<br>2165|<br>2719|<br>2936|<br>2978|<br>2996|
|FEMALE.S||||||||
|0-4<br>71|127|203|187|<br>190|<br>192|<br>193|<br>192|
|5-9<br>60|105|186|<br>184|<br>191|<br>193|<br>193|<br>192|
|10-14<br>54|90|170|<br>194|<br>195|<br>194|<br>193|<br>192|
|15-19<br>48|65|154|<br>201|<br>197|<br>193|<br>192|<br>192|
|20-24<br>43|57|141|<br>203|<br>194|<br>191|<br>192|<br>192|
|25-29<br>39|51|117|<br>196|<br>186|<br>190|<br>192|<br>192|
|30-34<br>35|<br>45|<br>98|<br>181|<br>183|<br>191|<br>193|<br>193|
|35-39<br>30|<br>40|<br>83|<br>164|<br>192|<br>194|<br>193|<br>192|
|40-44<br>27|<br>35|<br>58|<br>147|<br>199|<br>196|<br>192|<br>192|
|45-49<br>23|<br>32|<br>51|<br>133|<br>199|<br>192|<br>190|<br>191|
|50-54<br>20|27|45|109|<br>190|<br>183|<br>187|<br>190|
|55-59<br>17|<br>23|<br>38|<br>89|<br>173|<br>177|<br>187|<br>189|
|60-64<br>14|19|32|72|151|<br>182|<br>186|<br>186|
|65-69<br>11|15|26|47|128|<br>180|<br>180|<br>179|
|70-74<br>8|11|19|36|104|<br>165|<br>164|<br>164|
|75+<br>8|12|22|45|125|<br>270|<br>317|<br>337|
|TOTAL<br>510|754|1442|<br>2188|<br>2798|<br>3081|<br>3143|<br>3165|
|BIRTH RATE|41.0|35.6|22.5|15.9|13.5|12.9|12.8|
|DEATH RATE|14.3|9.6|6.3|6.6|10.1|12.2|12.5|
|NET MIGRATION<br>RATE|.0|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|2.67|2.63|1.66|.95|.35|.07|.03|
|TOTAL FERTILITY|5.717|4.934|2.636|2.062|2.049|2.040|2.039|
|e(0)- BOTH SEXES|54.60|61.68|69.23|74.90|76.90|78.30|78.67|
|<br>INR- BOTH SEXES|89.9|55.3|31.3|14.2|10.0|7.2|6.8|
78

|GWINEA||Proje|ction (000s|) with NRRa|l by|2045|||||
|---|---|---|---|---|---|---|---|---|---|---|
|AGE GROUP<br>1985|1990|<br>1995|2000|<br>2005||2010|<br>2015|<br>2020|<br>2025|<br>2030|
|TOTALM+F<br>6166|6972|7837|8843|10053||11362|<br>127M|14291|<br>15878|<br>17484|
|MALES|||||||||||
|0-4<br>540|625|683|773|896||961|1027|<br>1088|<br>1135|<br>1154|
|5-9<br>375|485|565|624|716||836|902|971|<br>1035|<br>1087|
|10-14<br>328|362|468|547|607||698|817|883|<br>953|<br>1019|
|15-19<br>292|319|352|456|534||593|683|801|<br>868|<br>938|
|20-24<br>257|282|307|339|439||516|575|664|<br>781|<br>849|
|25-29<br>224|246|269|294|324||421|496|555|<br>643|<br>759|
|30-34<br>195|214|235|257|280||309|404|478|<br>536|<br>624|
|35-39<br>169|186|203|222|243||266|296|388|<br>460|<br>519|
|40-44<br>147|160|174|191|<br>209||229|252|281|<br>371|<br>442|
|45-49<br>125|136|148|162|177||195|215|237|<br>266|<br>352|
|50-54<br>105|114|124|135|<br>147||162|179|<br>199|<br>221|<br>249|
|55-59<br>85|93|101|110|<br>119||131|145|<br>161|<br>180|<br>201|
|60-64<br>66|72|79|86|93||102|113|<br>126|<br>141|<br>158|
|<br> <br>65-69<br>47|<br>52|<br>57|<br>63|<br>68||<br>75|<br>82|<br> <br>92|<br> <br>103|<br><br> <br>117|
|70-74<br>29|33|37|41|45||49|54|60|68|<br>77|
|75+<br>21|25|29|33|36||41|46|52|59|<br>68|
|TOTAL<br>3005|3403|3832|4331|4933||5582|6285|<br>7035|<br>7821|<br>8615|
|FEMALES|||||||||||
|0-4<br>535|625|681|769|889||953|1018|<br>1078|<br>1124|<br>1143|
|5-9<br>396|482|567|625|715||833|899|967|<br>1031|<br>1083|
|10-14<br>344|382|466|550|609||698|815|882|<br>951|<br>1016|
|15-19<br>305|335|372|454|537||595|684|801|<br>868|<br>938|
|20-24<br>269|297|325|361|41||523|581|670|<br>786|<br>854|
|25-29<br>235|261|286|314|349||427|508|566|<br>654|<br>770|
|30-34<br>206|227|250|275|301||336|413|492|<br>551|<br>639|
|35-39<br>179|196|216|239|262||288|323|398|<br>477|<br>536|
|40-U<br>155|169|186|205|226||249|275|310|<br>384|<br>462|
|45-49<br>134|146|159|175|<br>193||214|237|263|<br>297|<br>370|
|50-54<br>114|125|136|149|163||181|202|224|<br>250|<br>283|
|55-59<br>95|104|114|124|136||150|167|<br>187|<br>209|<br>234|
|60-64<br>76|<br>83|<br>91|<br>100|<br>109||121|134|<br>150|<br>169|<br>191|
|65-69<br>56|62|<br>69|<br>75|<br>83||91|<br>102|<br>114|<br>129|<br>147|
|70-74<br>36|<br>41|<br>46|<br>51|<br>56||63|70|79|90|<br>103|
|75h<br>27|<br>34|<br>40|<br>46|<br>S1||58|<br>66|76|88|<br>102|
|TOTAL<br>3161|<br>3569|<br>4005|<br>4511|<br>5121||5780|<br>6493|<br>7256|<br>8057|<br>8B69|
|BIRTH RATE|46.8|44.6|44.0|44.0||41.1|38.6|36.0|33.3|30.3|
|DEATH RATE|22.5|21.3|19.8|18.4||16.7|15.1|13.6|12.2|11.0|
|RATE OF NAT. INC.|2.42|2.34|2.41|2.57||2.45|2.35|2.24|2.11|1.93|
|NET MIGRATION<br>RATE|.3|.0|.0|.0||.0|.0|.0|.0|.0|
|GROWTH<br>RATE|2.46|2.34|2.41|2.57||2.45|2.35|2.24|2.11|1.93|
|TO-AL FERTILITY|6.190|6.190|6.190|6.190|5|.680|5.170|4.660|4.150|3.640|
|NRA|1.966|2.009|2.078|2.162|2|.045|1.919|1.783|1.637|1.480|
|et0)- BOTH SEXES|42.20|43.39|44.85|46.55|4|8.34|50.20|52.15|54.19|56.33|
|ed1O)- BOTH SEXES|48.30|48.50|48.67|48.78|4|9.87|51.00|52.18|53.40|54.68|
|INR- BOTH SEXES|146.8|137.1|125.2|111.7|1|04.0|96.2|88.4|80.7|72.9|
|qtS)-BOTH SEXES|2481|2317|2112|1861||1722|1582|1441|1298|1154|
|<br>DEP. RATIO<br>79.7|.<br> <br>85.2|.<br>89.9|.<br>90.4|.<br> <br>90.3|<br>|.<br>89.1|.<br> <br>85.|.<br>7<br>79.|.<br>8<br>74.|.<br>2<br>68.6|
79 Projection (0009) with **NRRaR** by 2045 GJINEA

# Summry for 25 Year Periods

|**AGE GROUP**<br>1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTAL<br>**N*F**<br>6166|<br>8843|<br>15878|<br>23135|<br>28860|<br>31621|<br>32615|<br>33088|
|MALES||||||||
|0-4<br>540|773|<br>1135|<br>1040|<br>1051|<br>1060|<br>1064|<br>1065|
|5-9<br>375|624|1035|<br>1009|<br>1051|<br>1061|<br>1063|<br>1064|
|10-14<br>328|547|953|<br>1057|<br>1062|<br>1062|<br>1061|<br>1062|
|15-19<br>292|456|868|<br>1083|<br>1065|<br>1055|<br>1057|<br>1059|
|20-24<br>257|339|781|<br>1078|<br>1041|<br>1042|<br>1051|<br>1057|
|25-29<br>224|294|643|<br>1032|<br>1007|<br>1031|<br>1049|<br>1055|
|30-34<br>195|<br>257|536|<br>957|<br>977|<br>1030|<br>1049|<br>105,|
|35-39<br>169|222|<br>460|<br>870|1015|<br>1037|<br>1046|<br>1048|
|40-44<br>147|<br>191|371|<br>776|1030|<br>1032|<br>1036|<br>1040|
|45-49<br>125|162|266|<br>681|1010|<br>999|<br>1014|<br>1027|
|50-54<br>105|135|221|<br>542|941|<br>947|988|<br>1010|
|55-59<br>85|110|180|<br>427|833|<br>885|956|<br>980|
|60-64<br>66|86|141|<br>334|700|<br>862|<br>909|<br>927|
|65-69<br>47|63|103|<br>234|552|<br>786|<br>822|<br>837|
|70-74<br>29|41|68|135|<br>398|<br>647|678|<br>704|
|75.<br>21|33|59|126|<br>375|<br>812|<br>979|<br>1078|
|TOTAL<br>3005|4331|7821|<br>11381|<br>14105|<br>15350|<br>15823|<br>16065|
|FEMALES||||||||
|0-4<br>535|769|1124|<br>1029|<br>1036|<br>1040|<br>1042|<br>1042|
|5-9<br>396|625|1031|<br>1004|<br>1040|<br>1045|<br>1043|<br>1042|
|10-14<br>344|550|951|<br>1053|<br>1055|<br>1048|<br>1043|<br>1041|
|15-19<br>305|454|868|<br>1083|<br>1061|<br>1044|<br>1040|<br>1040|
|20-24<br>269|361|786|<br>1083|<br>1042|<br>1035|<br>1037|<br>1040|
|25-29<br>235|314|654|1042|<br>1013|<br>1029|<br>1039|<br>1041|
|30-34<br>206|275|551|<br>972|988|1033|<br>1043|<br>1042|
|35-39<br>179|239|477|<br>889|1031|<br>1045|<br>1045|<br>1040|
|40-44<br>155|205|384|<br>799|1052|<br>1047|<br>1039|<br>1036|
|45-49<br>134|175|297|<br>710|1041|<br>1022|<br>1026|<br>1030|
|50-54<br>114|149|250|<br>576|985|983|1013|<br>1026|
|55-59<br>95|<br>124|209|<br>468|895|941|1004|<br>1019|
|60-64<br>76|100|169|<br>383|783|953|<br>993|<br>1001|
|65-69<br>56|75|129|<br>280|653|920|952|<br>958|
|70-74<br>36|51|90|184|507|820|<br>852|875|
|75+<br>27|46|88|198|570|1266|<br>1581|<br>1749|
|TOTAL<br>3161|4511|8057|<br>11754|<br>14754|<br>16271|<br>16792|<br>17023|
|BIRTH RATE|45.0|38.0|23.7|16.7|14.1|13.2|12.9|
|DEATH<br>RATE|21.1|14.8|8.9|7.9.|10.5|12.0|12.3|
|NET MIGRATION<br>RATE|.1|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|2.40|2.34|1.51|.88|.37|.12|.06|
|TOTAL FERTILITY|6.188|5.026|2.731|2.114|2.069|2.042|2.040|
|**e(0)-** BOTH SEXES|43.59|50.73|61.40|70.31|74.37|77.32|78.12|
|**IMR-** BOTH SEXES|135.7|95.5|58.0|29.1|16.6|8.7|7.6|
80

|TOGO||Proj|ection (00s)<br>|with NRR-|1 by 2035|||||
|---|---|---|---|---|---|---|---|---|---|
|AGE GROUP<br>1985|1990|<br>1995|<br>2000|".05|2010|<br>2015|<br>2020|<br>2025|<br>2030|
|TOTAL M.F<br>3038|3606|<br>4208|<br>4872|5603|6389|7206|<br>8016|<br>8802|<br>9539|
|MALES||||||||||
|0-4<br>300|359|384|422|464|499|522|527|<br>522|<br>505|
|5-9<br>216|282|341|369|409|450|486|510|<br>516|<br>513|
|10-14<br>184<br> <br>|211|277|336|364|404|446|481|<br>506|<br>512|
|15-19<br>153|180|207|273|331|359|399|441|<br>476|<br>501|
|20-24<br>115|150|176|202|266|324|352|392|<br>434|<br>470|
|25-29<br>86|112|145|170|19A|<br>259|316|344|<br>384|<br>426|
|30-34<br>67|83|108|140|165|<br>191|252|308|<br>337|<br>377|
|35-39<br>63|65|81|104|136|160|185|245|<br>301|<br>330|
|40-44<br>64|61|62|77|100|131|154|<br>179|<br>239|<br>293|
|45-49<br>54|61|58|59|73|96|125|<br>148|<br>173|<br>231|
|50-54<br>44|51|57|54|55|69|90|119|<br>141|<br>165|
|55-59<br>36|40|47|52|50|51|64|84|111|<br>132|
|60-64<br>30|32|36|41|47|44|46|58|76|<br>100|
|65-69<br>23|25|27|30|35|39|38|39|50|<br>66|
|70-74<br>16|18|19|21|23|27|31|30|31|<br>39|
|75+<br>13|16|19|21|23|26|30|34|36|<br>38|
|TOTAL<br>1465|1746|<br>2044|<br>2373|2737|3128|3535|3940|<br>4332|<br>4700|
|FEMALES||||||||||
|0-4<br>297|355|379|416|456|490|513|518|<br>513|<br>497|
|5-9<br>233|281|339|366|405|445|480|504|<br>509|<br>506|
|10-14<br>195|229|276|334|362|401|441|476|<br>500|<br>506|
|15-19<br>163|192|225|273|330|358|397|437|<br>472|<br>497|
|20-24<br>136|160|188|<br>221|268|32'|353|392|<br>432|<br>467|
|25-29<br>114|133|156|184|216|263|319|347|<br>386|<br>427|
|30-34<br>94|111|129|152|179|211|257|313|<br>342|<br>381|
|35-39<br>78|91|108|<br>126|148|<br>175|206|252|<br>308|<br>336|
|40-44<br>64|75|88|104|121|143|170|201|<br>246|<br>302|
|45-49<br>52|61|72|<br>85|100|117|139|165|<br>196|<br>241|
|50-54<br>42<br>|49<br>|58<br>|69|81|<br>96|112|134|<br>159|<br>190|
|55-59<br>34|39|46|55|65|76|90|107|<br>127|<br>153|
|60-64<br>26|31|36|42|50|59|70|84|100|<br>119|
|65-69<br>19|22|27|31|37|44|52|62|75|<br>90|
|70-74<br>13|15|18|21|25|30|36|43|52|<br>63|
|75+<br>12<br>|15|17|20|25|29|<br>35|43|53|<br>66|
|TOTAL<br>1573|1860|2164|2499|2866|3261|3671|4077|4470|<br>4839|
|BIRTH RATE|48.7|43.6|40.5|37.9|35.4|32.5|29.1|25.9|22.9|
|DEATH RATE|14.5|12.7|11.2|9.9|9.1|8.4|7.8|7.2|6.8|
|RATE OF NAT. INC.|3.43|3.08|2.93|2.80|2.62|2.41|2.13|1.87|1.61|
|NET MIGRATION<br>RATE|.0|.0|.0|.0|.0|.0|.0|.0|.0|
|GROITH RATE|3.43|3.09|2.93|2.80|2.62|2.41|2.13|1.87|1.61|
|TOTAL FERTILITY<br>6|.500|5.990|5.480<br>4|.970|4.460|3.950|3.440|2.999|2.614|
|NRR<br>2|.476|2.344|2.215<br>2|.072|1.888|1.699|1.503|1.331|1.177|
|e(O)- BOTH SEXES<br>5|3.09|54.69|56.44<br>|58.29|59.64|61.03|62.47|63.96|65.50|
|eClO)<br>- BOTh SEXES<br>5|4.05|54.23|54.47<br>5|4.87|55.79|56.74|57.72|58.73|59.78|
|_IMR_- BOTH SEXES<br> <br>|93.9|82.9|70.9|59.3|55.0|50.7|46.4|42.1|37.8|
|q(5)- BOTH SEXES<br>.|1526|.1326|.1112<br>|.0907|.0836|.0765|.0694|.0622|.0550|
|<br>DEP. RATIO<br>100.2|102.8|<br>102.0|<br>96.1|88.2|82.3|<br>75.9|<br>68.8|<br>61.8|<br>55.4|
81 TOGo Projection (OCOs) with NRR=1 by 2035 Sunnmry for 25 Year Periods

|**.........**......<br>......................<br>AGE GROAJP<br>^985|....<br>2000|..<br>. ........<br>2025|.............<br>2050|............<br>2075|........................<br>2100|2125|........<br> <br>2150|
|---|---|---|---|---|---|---|---|
|<br> <br>......<br>.........<br>.............................|<br>|<br>........|<br>..................................................|<br>.....|||<br><br>_.|
|TOTAL**hF**<br>3038|4872|8802|12177|14410|15153|15411|<br>15511|
|MALES||||||||
|0-4<br>300|422|522|503|496|495|495|496|
|5-9<br>216|369|516|498|491|493|494|495|
|.0-14<br>184|336|506|481|487|492|494|495|
|15-19<br>153|273|476|471|487|493|494|494|
|20-24<br>115|202|434|489|491|493|493|493|
|25-29<br>86|170|384|498|495|<br>490|491|491|
|30-34<br>67|140|337|494|489|<br>485|488|<br>490|
|35-39<br>63|104|301|479|471|480|<br>486|489|
|40-44<br>64|77|239|445|458|478|485|<br>487|
|45-49<br>54|59|173|399|471|477|482|482|
|50-54<br>44|54|141|345|470|474|473|474|
|55-59<br>36|52|111|289|449|453|454|458|
|60-64<br>30|41|76|240|408|4'1R|<br>426|433|
|65-69<br>23|30|50|169|341|364|387|396|
|70-74<br>16|21|31|102|256|319|332|339|
|75+<br>13|21|36|98|287|<br>473|513|528|
|TOTAL<br>1465|2373|4332|6001|7050|7369|7488|7539|
|FEMALES||||||||
|0-4<br>297|416|513|495|487|484|484|484|
|5-9<br>233|366|509|491|483|<br>483|484|<br>484|
|10-14<br>195|<br>334|500|475|480|483|<br>484|<br>484|
|15-19<br>163|273|472|466|481|<br>485|<br>485|<br>484|
|20-24<br>136|221|432|486|<br>486|<br>486|<br>485|<br>484|
|<br> <br>25-29<br>114|184|<br>386|<br>497|<br> <br>493|<br> <br>486|<br> <br> <br>484|<br><br> <br>484|
|30-34<br>94|152|342|<br>495|<br>488|<br>482|483|484|
|35-39<br>78|126|308|483|471|478|482|<br>484|
|40-44<br>64|104|246|<br>451|461|479|483|<br>484|
|45-49<br>52|<br>85|196|408|478|482|<br>483|<br>482|
|50-54<br>42|69|159|359|483|<br>484|<br>480|<br>479|
|55-59<br>34|55|127|<br>309|472|473|471|473|
|60-64<br>26|42|100|267|446|446|459|464|
|65-69<br>19|31|75|199|394|417|42|49|
|70-74<br>13|21|52|139|320|396|411|417|
|75+<br>12|20|53|155|436|739|822|852|
|TOTAL<br>1573|2499|4470|6175|7360|7783|7923|7973|
|BIRTH RATE|43.8|31.4|19.3|14.8|13.3|12.9|12.8|
|DEATH RATE|12.6|8.3|6.5|8.1|11.3|12.2|12.5|
|NET MIGRATION<br>RATE|**.0**|.0|.0|***0**|***0**|.0|.0|
|GROWTH<br>RATE|3.15|2.37|1.30|.67|.20|.07|.03|
|TOTAL FERTILITY|5.935|3.816|2.241|2.061|2.048|2.040|2.039|
|**e(O)**- BOTH SEXES|54.91|61.41|69.01|74.84|76.87|78.30|78.66|
|<br>INR- BOTH SEXES|<br>82.1|<br>50.5|<br>29.2|<br>14.5|<br>10.1|<br>7.3|6.8|
# EASTERN AFRICA

# DEPARTMENT (AF2)
84 ETHIOPIA Projection (000s) with NRR=l by 2045

|AGE GROLUP<br>1985|1990|<br>1995|<br>2000|2005|<br>2010|<br>2015|2020|2025|<br>2030|
|---|---|---|---|---|---|---|---|---|---|
|TOTALH*F<br>42271|48784|56551|65919|75985|<br>86728|<br>98264|110568|<br>123302|<br>135828|
|KALES||||||||||
|0-4<br>3530|4399|5083|5999|6477|<br>6932|<br>7452|7969|8321|<br>8357|
|5-9<br>3209|3218|4056|4740|5662|<br>6147|<br>6614|<br>7149|<br>7686|<br>8069|
|10-14<br>2713|3144|3162|3994|4679|<br>5595|<br>6080|6549|7086|<br>7627|
|15-19<br>2292|<br>2663|<br>3095|<br>3117|<br>3941|<br>4622|<br>5532|<br>6018|<br>6489|<br>7027|
|20-24<br>1922|<br>2224|<br>2603|<br>3028|<br>3052|<br>3867|<br>4542|<br>5445|<br>5933|<br>6406|
|25-29<br>1602|<br>1849|<br>2163|<br>2534|<br>2951|<br>2981|<br>3785|<br>4455|<br>5351|<br>5841|
|30-34<br>1333|<br>1538|<br>1795|<br>2103|<br>2466|<br>2878|<br>2914|<br>3708|<br>4373|<br>5263|
|35-39<br>1103|1277|<br>1489|<br>1740|2040|<br>2398|<br>2806|2847|3631|<br>4291|
|40-44<br>907|<br>1053|<br>1230|1435|1678|<br>1973|<br>2325|2727|2774|<br>3545|
|45-49<br>736|<br>859|<br>1004|<br>1174|1371|<br>1608|<br>1896|<br>2240|<br>2634|<br>2685|
|50-54<br>589|<br>689|<br>808|<br>945|<br>1106|<br>1295|<br>1523|<br>1800|<br>2133|<br>2516|
|55-59<br>459|<br>539|<br>632|<br>743|<br>869|<br>1020|<br>1198|<br>1414|<br>1677|<br>1993|
|60-64<br>345|<br>404|<br>476|<br>559|<br>657|<br>772|<br>910|<br>1073|<br>1270|<br>1512|
|65-69<br>244|285|335|396|465|<br>550|<br>649|<br>768|<br>910|<br>1083|
|70-74<br>154|<br>181|<br>213|<br>251|<br>297|<br>352|<br>419|<br>498|<br>594|<br>709|
|75-<br>125|<br>142|<br>167|<br>198|<br>234|<br>280|<br>339|411|<br>S00|<br>610|
|TOTAL<br>21263|24463|28309|32955|<br>37946|<br>43270|<br>48984|55072|<br>61363|<br>67533|
|FEMALES||||||||||
|0-4<br>3526|<br>4346|<br>5019|<br>5918|<br>6384|<br>6832|<br>7343|<br>7850|<br>8197|<br>8232|
|5-9<br>3097|3216|4010|4685|5595|<br>6070|<br>6534|7064|7594|<br>7974|
|10-14<br>2618|3032|3158|3948|4627|<br>5531|<br>6008|64.74|<br>7008|<br>7543|
|15-19<br>2212|2572|2986|3115|3900|<br>4576|<br>5477|5955|6424|<br>6961|
|20-24<br>1868|<br>2162|<br>2525|<br>2935|<br>3065|<br>3843|<br>4515|<br>5412|<br>5893|<br>6360|
|25-29<br>1569|<br>1819|<br>2117|<br>2475|<br>2873|<br>301V|<br>3782|<br>4452|<br>5345|<br>5829|
|30-34<br>1311|<br>1526|<br>1778|<br>2072|<br>2423|<br>2823|<br>2958|<br>3723|<br>4390|<br>5280|
|35-39<br>1091|1274|<br>1489|1737|<br>2024|<br>2372|<br>2769|2907|3666|<br>4329|
|40-44<br>902|1058|<br>1239|<br>1450|<br>1692|<br>1976|<br>2320|2713|2854|<br>3605|
|45-49<br>742|<br>872|1025|<br>1202|<br>1407|<br>1645|<br>1925|<br>2263|2652|<br>2795|
|50-54<br>606|711|838|986|1156|<br>1356|<br>1589|<br>1863|<br>2195|<br>2577|
|55-59<br>483|572|673|793|934|1098|<br>1291|<br>1516|<br>1781|<br>2104|
|60-64<br>373|442|-<br>525|619|730|862|<br>1017|<br>1200|<br>1415|<br>1668|
|65-69<br>270|323|384|458|540|61,0|<br>761|902|1070|<br>1268|
|70-74<br>178|<br>212|<br>256|<br>305|<br>364|<br>433|<br>518|<br>621|<br>743|<br>889|
|75+<br>160<br>|185|220<br>|266<br>|319<br>|388<br> <br>|<br>473<br> <br>|580<br>|712<br> <br>|<br>874<br> <br>|
|TOTAL<br>21008|24321|28242|32964|38038|<br>43457|<br>49280|55496|<br>61939|<br>68295|
|BIRTH RATE|48.2|47.4|47.1|42.8|39.4|36.7|34.3|31.5|28.2|
|OEATH<br>RATE|18.8|17.6|16.3|14.3|12.9<br>|11.7<br>|10.7<br>|9.7<br>|8.8<br>|
|RATE OFMAT.INC.|2.95|2.97|3.08|2.85|2.65|2.50|2.36|2.18|1.94|
|NE( MIGRATION<br>RATE|-.8|-.2|-.1|-.1|-.1|-.0|-.0|.0|.0|
|GROWTH<br>RATE|2.87|2.95|3.07|2.84|2.64|2.50|2.36|2.18|1.94|
|TOTAL FERTILITY|6.450|6.450|6.450|5.940|5.430|4.920|4.410|3.900|3.390|
|NRR|2.158|2.223|2.308|2.213|2.076|1.931|1.776|1.611|1.437|
|e(O)- BOTH SEXES|47.08|48.76|50.64|52.65|54.30|56.01|57.77|59.58|61.46|
|e(1O)- BOTH SEXES|54.69|55.30|55.65|55.84|56.55|57.29|58.04|58.82|59.61|
|IMR- BOTH SEXES|154.0|145.6|134.8|122.1|112.2|102.3|92.4|82.5|72.6|
|q(5)- BOTH SEXES|.2585|.2405|.2175|1911|.1753|.1595|.1434|.1273|.1109|
|<br>DEP. RATIO<br>88.3|<br>86.9|<br>85.5|<br>89.6|<br>88.|3<br>84.|6<br>78.4|<br>73.|5<br>69.2|<br>64.5|
85 ProJection (0009) with NRRa1 by 2045

# ETHIOPIA

# **Sunnary** for 25 Year Periods

|..**............**......................................<br>AGE**GROJP**|...<br>1985|2000|.<br> <br>2025|.................................................<br>2050|..................<br>2075|2100|2125|2150|
|---|---|---|---|---|---|---|---|---|
|...................................|||..............................................|...........................||||_|
|TOTAL M.F|42271|65919|123302|178949|219593|237512|242963|245343|
|MALES|||||||||
|0-4|3530|5999|8321|7697|7765|7832|7859|7866|
|5-9|3209|4740|7686|7501|7766|7843|7856|7855|
|10-14|2713|3994|7086|7802|7848|7853|7845|7843|
|15-19|2292|3117|6489|7995|7887|7817|7816|7826|
|20-2;|1922|3028|5933|7994|7762|7732|7779|.8O8|
|25-29|1602|2534|5351|7823|7529|7656|7761|7796|
|30-34|1333|2103|4373|7346|7328|7649|7762|7783|
|35-39|1103|1740|3631|6710|7579|7701|7751|7753|
|40-44|907|1435|2774|6063|7705|7697|7685|7697|
|45-49|736|1174|2634|5448|7611|7507|7548|7610|
|50-54|589|945|2133|4778|7282|7154|7361|7485|
|55-59|459|743|1677|3719|6560|6728|7135|7273|
|60-64|345|559|1270|2850|5584|6552|6804|6894|
|65-69|244|396|910|1916|4499|6022|6200|6251|
|70-74|154|251|594|1485|3361|5037|5177|5277|
|75+|125|198|soo|1380|3583|6730|7673|8195|
|TOTAL|21263|32955|<br>61363|88508|107649|11M512|<br>118011|119212|
|FEMALES|||||||||
|0-4|3526|5918|8197|7587|7635|7675|7690|7689|
|5-9|3097|4685|7594|7416|7660|7702|7698|7689|
|10-14|2618|3948|7008|7725|<br>7758|7725|<br>7695|7684|
|15-19|2212|3115|6424|7931|7819|7709|7678|7678|
|20-24|1868|2935|5893|7957|<br>7728|<br>7652|7659|7677|
|25-29|1569|2475|5345|7817|7524|7605|7665|7683|
|30-34|1311|2072|4390|7366|7348|7627|7690|7689|
|35-39|1091|1737|3666|6758|7629|7712|7707|7681|
|40-44|902|1450|2854|6140|7793|7751|<br>7679|7655|
|45-49|742|1202|2652|5567|7756|7622|7597|7616|
|50-54|606|986|2195|4963|7517|7356|7504|7580|
|55-59|483|793|1781|3965|6927|7074|7439|7528|
|60-64|373|619|1415|3162|6122|7150|7366|<br>7405|
|65-69|270|458|1070|2271|5207|6950|7109|7110|
|70-74|178|305|743|1825|4191|6290|6446|6523|
|75+|160|266|712|1988|5330|10398|12329|13243|
|TOTAL|21008|32964|61939|90440|111943|121999|124951|126132|
|BIRTH RATE||47.5|36.3|22.2|15.9|13.7|1U.0|12.8|
|DEATH RATE||17.4|11.6|7.6|7.8.|10.6|12.1|12.4|
|NET MIGRATI|ON RATE|-. 3|-.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE||2.96|2.50|1.49|.82|.31|.09|.04|
|TOTALFERTI|LITY|6.452|4.770|2.613|2.079|2.056|2.041|2.040|
|eCO) BOTH|SEXES|49.00|56.49|65.76|72.96|75.85|77.91|78.45|
|**IMR-** BOTH|SEXES|143.9|101.3|53.5|20.0|12.6|7.8|7.1|
86 KENYA ProJection C000s) with NRRUI bY 2050

|...................................................<br>AGE GROUP<br>1985|1990|<br>1995|......................<br>2000|.....................................<br>2005|.................................<br> <br>2010|2015|<br>2020|<br>2025|<br>2030|
|---|---|---|---|---|---|---|---|---|---|
|TOTALMPF<br>20353|24987|30288|36609|<br>44105|<br>52664|<br>62181|<br>72491|<br>83389|<br>94579|
|HALES||||||||||
|0-4<br>2283|2701|3083|3646|4296|<br>4900|5456|<br>5933|<br>6314|<br>6555|
|5-9<br>1770|2191|2611|3003|3575|<br>4220|<br>4822|<br>5377|<br>5857|<br>6244|
|10-14<br>1285|<br>1743|<br>2162|<br>2583|<br>2976|<br>3546|<br>4188|<br>4?89|<br>5345|<br>5827|
|15-19<br>1037|<br>1267|<br>1719|<br>2135|<br>2553|<br>2944|<br>3512|<br>4151|<br>47F2|<br>5308|
|20-24<br>849|<br>1016|<br>1242|<br>1685|<br>2094|<br>2508|<br>2897|<br>3460|<br>4397|<br>4697|
|25-29<br>658|<br>829|<br>992|<br>1211|<br>1644|<br>2047|<br>2456|<br>2843|<br>3403|<br>4038|
|30-34<br>514|<br>641|<br>807|<br>966|<br>1180|<br>1605|<br>2002|<br>2408|<br>2794|<br>3351|
|35-39<br>399|500|<br>623|<br>7K4|<br>938|<br>1149|<br>1566|<br>1959|<br>2361|<br>2746|
|40-44<br>303|<br>386|<br>483|<br>602|<br>758|<br>909|<br>1116|-<br>1526|<br>1913|<br>2313|
|45-49<br>247|<br>290|<br>370|<br>463|<br>577|<br>729|<br>877|<br>1080|<br>1480|<br>1861|
|50-54<br>211|<br>234|<br>274|<br>350|<br>438|<br>548|<br>695|838|<br>1035|<br>1423|
|55-59<br>171|<br>195|<br>217|<br>255|<br>325|<br>408|<br>512|<br>652|<br>789|<br>977|
|60-64<br>130|<br>154|<br>176|<br>195|<br>230|<br>294|<br>371|<br>467|<br>596|<br>724|
|65-69<br>97|111|<br>132|<br>150|<br>167|<br>198|<br>254|<br>322|<br>407|<br>521|
|70-74<br>72|<br>76|<br>87|<br>104|<br>119|<br>133|<br>158|<br>204|<br>259|<br>329|
|_75+_<br>_as_|88|<br>92|<br>101|<br>117|<br>136|<br>156|<br>183|<br>230|<br>293|
|TOTAL<br>10111|<br>12421|<br>15070|<br>18233|<br>21988|<br>26274|<br>31037|<br>36192|<br>41633|<br>47209|
|FEMALES||||||||||
|0-4<br>2251|2661|3032|3580|4212|4805|5350|<br>5818|<br>6193|<br>6430|
|5-9<br>1772|<br>2171|<br>2584|<br>2965|<br>3523|<br>4150|<br>4742|<br>5289|<br>5760|<br>6141|
|10-14<br>1284|1748|2146|2560|2943|3499|4125|<br>4717|<br>5264|<br>5738|
|15-19<br>1028|1269|1728|2123|2535|2918|<br>3472|<br>4097|<br>4689|<br>5237|
|20-24<br>871|1013|1250|1702|2093|2503|2884|<br>3436|<br>4061|<br>4654|
|25-29<br>702|<br>856|<br>994|<br>1226|<br>1671|<br>2059|<br>2466|<br>2846|<br>3397|<br>4021|
|30-34<br>543|687|837|973|1201|<br>1640|2024|<br>2429|<br>2809|<br>3359|
|35-39<br>417|530|671|<br>817|<br>950|<br>1175|<br>1607|<br>1988|<br>2391|<br>2772|
|40-44<br>326|<br>405|<br>514|<br>651|<br>794|925|<br>1147|<br>1574|<br>1952|<br>2353|
|45-49<br>266|<br>315|<br>392|<br>497|630|<br>770|<br>900|<br>1118|<br>1538|<br>1912|
|50-54<br>221|<br>255|<br>302|<br>375|<br>477|<br>606|<br>742|<br>870|<br>1085|<br>1497|
|55-59<br>178|<br>208|<br>240|<br>285|<br>354|452|<br>576|<br>709|834|<br>1044|
|60-64<br>132|<br>164|<br>191|<br>221|<br>263|<br>328|<br>420|<br>539|466|<br>787|
|65-69<br>96|116|<br>144|<br>168|<br>195|<br>233|<br>293|<br>378|<br>487|<br>606|
|70-74<br>67|<br>78|<br>95|117|<br>137|<br>160|<br>193|<br>245|<br>319|<br>416|
|75,<br>86|<br>89|98|<br>115|<br>139|<br>168|<br>201|<br>245|<br>309|<br>403|
|TOTAL<br>10242|<br>12566|<br>15218|<br>18376|<br>22117|<br>26389|<br>31144|<br>36299|<br>41756|<br>47370|
|BIRTHRATE|52.0|48.0|46.2|44.5|42.2|39.4|36.4|33.3|30.2|
|DEATH RATE|11.1|9.6|8.4|7.3|6.7|6.2|5.7|5.3|5.0|
|RATE OF NAT.INC.|4.09|3.84|3.79|3.72|3.55|3.32|3.07|2.80|2.52|
|NET mIGRATION<br>RATE|.1|.1|.0|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|4.10|3.85|3.79|3.73|3.55|3.32|3.07|2.80|2.52|
|TOTALFERTILITY|7.684|7.202|6.719|6.237|%.727|5.217|4.707|4.197|3.687|
|NRR|3.133|2.999|2.865|2.721|2.526|2.327|2.124|1.915|1.701|
|e(0) * BOTH SEXES|57.95|59.26|60.73|62.27|63.42|64.59|65.80|67.04|68.32|
|e(10)*BOTH SEXES|56.35|56.42|56.60|56.95|57.79|58.65|59.54|60.45|61.38|
|IHRBOTHSEXES|71.9|62.5|52.6|43.4|40.3|37.3|34.2|31.2|28.1|
|qC5)-BOTH SEXES|.1129|.0963|.0789|.0628|.0580|.0532|.0484|.0436|.0388|
|<br>DEP. RATIO<br>121.1|<br> <br>122.8|<br> <br>116.0|<br> <br>109.|<br>3<br>103.|<br>2<br>98.6|<br> <br>92.|<br>9<br>85.9|<br> <br>78.|8<br>71.7|
87 ProJection C000s) with NIRR- by 2050 KENYA Swury for 25 Year Periods

|....................<br>..<br>AGE GRCJP|................................<br>1985|........................................<br> <br>2000|...................<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|..<br>.................................|................................|..........................|||||||
|TOTAL<br>M.F|20353|<br>36609|<br>83389|<br>136253|<br>176714|<br>195220|<br>198575|<br>199670|
|MALES|||||||||
|0-4|2283|<br>3646|6314|6149|<br>6338|<br>6381|<br>6379|<br>6374|
|5-9|1770|<br>3003|5857|<br>6412|<br>6408|<br>6387|<br>6368|<br>6363|
|10-14|1285|<br>2583|5345|<br>6538|<br>6441|<br>6360|<br>6349|<br>6354|
|15-19|1I37|2135|4752|6492|<br>6356|<br>6303|<br>6330|<br>6347|
|20-24|849|1685|<br>4097|6408|6135|<br>6259|<br>6323|<br>6340|
|25-29|658|1211|<br>3403|6104|<br>6069|<br>6275|<br>6330|<br>6331|
|30-34|514|966|2794|<br>5657|<br>6319|<br>6336|<br>6328|<br>6312|
|35-39|399|784|2361|<br>5115|<br>6420|<br>6351|<br>6287|<br>6280|
|40-44|303|092|1913|<br>4494|<br>6342|<br>6241|<br>6209|<br>6240|
|45-49|247|463|1480|<br>3821|<br>6204|<br>5979|<br>6124|<br>6193|
|50-54|211|350|1035|<br>3105|<br>5804|<br>5824|<br>6053|<br>6115|
|55-59|171|<br>255|789|2449|<br>5197|<br>5881|<br>5940|<br>5944|
|60-64|130|<br>195|<br>596|1936|<br>4423|<br>5655|<br>5652|<br>5613|
|65-69|97|150|407|1407|<br>3512|<br>5088|<br>5081|<br>5078|
|70-74|72|104|259|912|2527|<br>4255|<br>4187|<br>4316|
|75+|85|101|230|776|2628|<br>5668|<br>6625|<br>6877|
|TOTAL|10111|<br>18233|<br>41633|<br>67775|<br>87123|<br>95244|<br>96565|<br>97078|
|FEMALES|||||||||
|0-4|2251|<br>3580|6193|6034|<br>6212|<br>6242|<br>6236|<br>6229|
|5-9|1m|2965|5760|<br>6305|<br>6293|<br>6258|<br>6232|<br>6225|
|10-14|1284|<br>2560|<br>5264|<br>6437|<br>6334|<br>6240|<br>6219|<br>6221|
|15-19|1028|<br>2123|4689|6403|<br>6263|<br>6195|<br>6208|<br>6222|
|20-24|871|1702|<br>4061|<br>6340|<br>6063|<br>6167|<br>6214|<br>6227|
|25-29|702|1226|<br>3397|6061|<br>6014|<br>6201|<br>6237|<br>6231|
|30-34|543|973|2809|<br>5639|<br>6280|<br>6279|<br>6250|<br>6226|
|35-39|417|817|2391|<br>5119|<br>6400|<br>6314|<br>6229|<br>6210|
|40-44|326|'651|1952|<br>4522|<br>6349|<br>6232|<br>6176|<br>6193|
|45-49|266|497|1538|<br>3875|<br>6253|<br>6012|<br>6132|<br>6183|
|50-54|221|375|1085|<br>:195|5922|<br>5922|<br>6132|<br>6175|
|55-59|178|<br>285|834|2581|<br>5419|<br>6108|<br>6146|<br>6129|
|60-64|132|<br>221|666|2117|<br>4782|<br>6089|<br>6066|<br>6002|
|65-69|96|168|487|1617|<br>4008|<br>5789|<br>5770|<br>5745|
|70-74|67|117|319|1129|<br>3109|<br>5243|<br>5160|<br>5303|
|75*|86|115|309|1103|<br>3891|<br>8687|<br>10604|<br>11072|
|TOTAL|10242|<br>18376|<br>41756|<br>68477|<br>89592|<br>99976|<br>102011|<br>102592|
|BIRTH RATE||48.4|38.3|23.8|16.2|13.5|12.8|12.7|
|DEATH<br>RATE||9.5|6.1|4.6|5.9.|9.6|12.2|12.5|
|NET MIGRAT|ION<br>RATE|.1|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RAT|E|3.91|3.29|1.96|1.04|.40|.07|.02|
|TOTAL FERT|ILITY|7.127|5.020|2.770|2.053|2.045|2.040|2.039|
|e(O)- BOT|H SEXES|59.49|65.01|71.30|75.94|77.45|78.51|78.78|
|<br>IMR- BOTH S|EXES|61.5|36.7|22.1|11.7|8.8|_7.0_|6.6|
88

|NAIJRITIUS||Proj|ection (00t s|) with NRR-1 b|y 1985|||||
|---|---|---|---|---|---|---|---|---|---|
|AGE GROUP<br>1985|1990|<br>1995|<br>2000|<br>2005|2010|2015|2020|<br>2025|<br>2030|
|TOTAL M+F<br>1020|1078|1139|1200|1262|1321|1375|1424|1468|1504|
|KALES||||||||||
|0-4<br>58|52|54|55|55|55|54|54|54|54|
|5-9<br>59|57|52|53|54|55|55|54|54|54|
|10-14<br>51|59|57|51|<br>53|54|55|55|<br>54|<br>54|
|15-19<br>55|50|58|56|51|53|54|55|55|54|
|20-24<br>60|54|49|57|55|50|52|53|54|54|
|25-29<br>48|58|52|48|56|55|50|52|53|54|
|30-34<br>41|46|56|50|47|55|54|49|51|52|
|35-39<br>30|40|45|54|49|46|54|53|48|50|
|40-44<br>22|28|38|43|53|48|45|52|52|47|
|45-49<br>20|20|27|37|42|51|46|43|51|51|
|50-54<br>19|18|19|<br>25|<br>35|40|49|44|42|49|
|55-59<br>15|17|17|18|23|32|37|46|42|39|
|60-64<br>12|13|15|15|16|21|29|33|42|38|
|65-69<br>8|10|11|<br>13|<br>13|13|18|<br>25|<br>29|<br>36|
|70-74<br>5|6|7|8|10|10|10|<br>14|<br>20|<br>23|
|75+<br>4|5|6|7|<br>9|10|11|<br>12|<br>15|<br>21|
|TOTAL<br>506|534|562|591|620|647|673|695|715|732|
|IEHALES||||||||||
|u-4<br>57|50|51|52|53|53|52|52|52|52|
|5-9<br>57|57|50|51|52|53|53|52|52|52|
|10-14<br>49|57|56|49|51|52|53|53|52|52|
|15-19<br>53|49|56|56|49|51|52|53|53|52|
|20-24<br>58|52|48|56|56|49|51|52|53|53|
|25-29<br>49|57|51|<br>47|<br>55|55|49|50|<br>52|<br>53|
|30-34<br>40|48|56|51|<br>47|55|55|48|<br>50|<br>51|
|35-39<br>31|40|47|55|<br>50|47|55|55|<br>48|<br>50|
|40-44<br>23|30|39|47|55|50|46|54|<br>54|<br>48|
|45-49<br>21|22|29|38|<br>46|54|49||54|<br>54|
|50-54<br>20|20|21|28|<br>37|45|53|48|<br>45|<br>53|
|55-59<br>16|19|<br>19|<br>21|<br>27|36|43|51|<br>47|<br>44|
|60-64<br>13|1S|18|<br>18|<br>19|26|34|41|<br>49|<br>45|
|65-69<br>11|11|<br>13|<br>16|<br>16|18|24|31|<br>38|<br>45|
|70-74<br>7|9|10|<br>11|<br>13|14|15|<br>21|<br>27|<br>34|
|75+<br>9|9|11|<br>13|<br>15|18|20|22|<br>28|<br>37|
|TOTAL<br>514|545|577|609|642|673|702|729|752|772|
|BIRTH RATE<br>|20.1|19.4|18.6|17.9|17.0|16.0|15.3|14.8|14.5|
|DEATHRATE|7.1|7.1|7.3|7.4|7.7|8.0|8.3|8.8|9.5|
|RATE OF NAT. INC.|1.30|1.23|1.13|1.05|.93|.80|.70|.60|.50|
|NET MIGRATION RATE|-1.9|-1.3|-.9|-. 5|-. 2|.0|.0|.0|.0|
|GROWTH<br>RATE|1.11|1.10|1.05|1.00|.92|.80|.70|.60|.50|
|TOTAL FERTILITY<br>2|.148|2.129|2.115|2.103<br>|2.099<br>|2.095|2.091|2.087|2.083|
|NRR<br>1|.000|1.000|1.000|1.000<br>|1.000<br>|1.000|1.000|1.000|1.000|
|e(O)- BOTHSEXES<br>6|6.70|67.67|68.57|69.42<br>|70.10<br>|70.80|71.51|72.25|73.00|
|e(100- BOTH SEXES<br>5|8.70|59.30|59.92|60.56<br>|61.21<br>6|1.87|62.56|63.27|64.00|
|IHR - BOTH SEXES<br>|23.0|19.0|15.8|13.3|12.9|12.5|12.1|11.7|11.2|
|q(5)-<br>BOTH SEXES<br>.|0272|.0220|.0181|.0151<br>|.0146<br>|.0141|.0136|.0131|.0126|
|<br>DEP. RATIO<br>58.3|54.8|<br>49.5|<br>;6.2|<br>45.4|44.2|44.0|<br>45.4|<br>47.9|<br>51.9|
89

# IAURITIUS

# Projection (000s) with NRR-l by 1985

Sunnary for 25 Year Periods

|...........................................................................<br>AGE GRCUJP<br>1985|..............................<br>2000|2025|2050|2075|2100|2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTAL .F-<br>1020|1200|1468|1592|1649|<br>1672|1682|<br>1687|
|MALES||||||||
|0-4<br>58|55|54|54|54|54|54|54|
|5-9<br>59|53|54|54|54|54|54|54|
|10-14<br>51|51|54|54|54|54|54|54|
|15-19<br>55|56|55|54|54|54|54|54|
|20-24<br>60|57|54|54|54|54|54|54|
|25-29<br>48|48|53|53|53|54|54|54|
|30-34<br>41|50|51|53|53|53|54|54|
|35-39<br>30|54|48|53|53|53|53|54|
|40-44<br>22|43|52|53|53|53|53|53|
|<br> <br>45-49<br>20|<br>37|<br>51|<br>52|<br>52|<br>52|<br>53|53|
|50-54<br>19|25|42|49|51|51|52|52|
|55-59<br>15|18|42|45|49|50|50|50|
|60-64<br>12|15|42|40|46|47|48|48|
|65-69<br>8|13|29|39|42|43|43|44|
|70-74<br>5|8|20|32|35|36|37|37|
|75+<br>4|7|15|38|50|56|58|59|
|TOTAL<br>506|591|715|775|808|819|825|<br>828|
|FEMALES||||||||
|0-4<br>57|52|52|52|52|52|52|<br>52|
|5-9<br>57|51|52|52|52|52|52|52|
|<br> <br>10-14<br>49|<br>49|<br>52|52|52|52|52|<br>52|
|15-19<br>53|56|53|52|52|52|52|<br>52|
|20-24<br>58|56|53|52|52|52|52|<br>52|
|25-29<br>49|47|52|52|52|52|52|<br>52|
|30-34<br>40|51|50|51|52|52|52|<br>52|
|35-39<br>31|55|48|52|52|52|52|<br>52|
|40-44<br>23|47|54|52|52|52|52|<br>52|
|45-49<br>21|38|54|52|52|52|52|<br>52|
|50-54<br>20|28|45|50|51|51|51|<br>51|
|55-59<br>16|21|47|48|50|51|51|<br>51|
|60-64<br>13|18|49|45|49|50|50|<br>50|
|65-69<br>11|16|38|48|48|48|48|<br>48|
|70-74<br>7|11|27|43|44|44|45|<br>45|
|75+<br>9|13|28|65|81|89|93|<br>94|
|TOTAL<br>514|609|752|817|842|852|857|<br>859|
|BIRTH RATE|19.4|16.1|14.0|13.2|12.9|12.7|12.7|
|DEATH RATE|7.2|8.1|10.7|11.8|12.3|12.5|12.6|
|NET MIGRATION<br>RATE|-1.3|-.1|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|1.09|.80|.33|.14|.05|.03|.01|
|TOTAL FERTILITY|2.130|2.095|2.075|2.062|2.060|2.059|2.058|
|etO)- BOTH<br>SEXES|67.68|70.87|74.64|77.46|78.24|78.77|78.91|
|<br>IR- BOTH SEXES|19.2|12.5|10.4|8.7|7.5|6.7|6.5|
90 SOMALIA Projeetion (COOS) With NRR-1 by 2050

|..<br>____.......................<br>AGEGROUP<br>1985<br>..............<br>..........................|..........<br>1990|................<br>1995<br>_................|......................<br> <br>2000<br>........|<br>..........|2005<br>..............|...................<br>2010|2015<br>.......................|<br>2020<br>...|.........<br> <br>2025|<br>2030|
|---|---|---|---|---|---|---|---|---|---|---|
|TOTAL M.F<br>5384|6285|n87|8510||9675|11383|<br>13041|<br>14840|<br>16742|<br>18675|
|MALES|||||||||||
|0-4<br>516|595|681|808||896|985|1076|<br>1163|<br>1231|<br>1262|
|5-9<br>396|<br>470|<br>546|<br>633||761|<br>850|<br>938|1030|<br>1120|<br>1192|
|10-14<br>316|<br>384|<br>456|<br>532||620|<br>746|<br>835|<br>923|<br>1016|<br>1107|
|15-19<br>263|<br>310|<br>375|<br>447||522|<br>_609_|734|<br>823|<br>911|<br>1004|
|20-24<br>230|<br>258|<br>300|<br>365||434|<br>509|<br>595|<br>719|<br>808|<br>896|
|25-29<br>192|<br>226|<br>248|<br>289||352|<br>421|<br>495|<br>580|<br>703|<br>792|
|30-34<br>158|<br>189|<br>217|<br>239||279|<br>341|<br>409<br>W8|<br>2|566|<br>688|
|35-39<br>134|<br>155|<br>180|<br> <br>208|<br>|<br>230|<br> <br> <br>269|<br> <br> <br> <br>330|<br> <br> <br>397|<br> <br>469|<br><br> <br>553|
|40-44<br>112|130|147|172||199|<br>220|259|319|<br>385|<br>456|
|45-49<br>94|<br>107|<br>122|139||163|<br>189|<br>210|<br>248|<br>306|<br>371|
|50-54<br>78|<br>88|100|<br>114||130|<br>153|<br>178|<br>198|<br>235|<br>291|
|55-59<br>61|<br>71|<br>80|<br>91||104|<br>119|<br>140|<br>164|<br>184|<br>218|
|60-64<br>47|<br>54|63|<br>71||80|<br>92|<br>106|<br>125|<br>147|<br>165|
|65-69<br>33|<br>39|<br>45|<br>52||59|<br>67|<br>78|<br>89|<br>107|<br>126|
|70-74<br>20|<br>25|<br>30|<br>34||40|<br>45|<br>52|<br>60|<br>70|<br>83|
|75+<br>19|<br>21|<br>25|30||35|41|<br>48|<br>55|65|<br>76|
|TOTAL<br>2669|3122|3616|4225||4905|5657|6482|<br>7378|<br>8322|<br>9281|
|FEMALES|||||||||||
|0-4<br>514|592|677|801||888|973|1063|<br>1149|<br>1215|<br>1245|
|5-9<br>391|<br>470|<br>546|<br>632||759|<br>845|<br>931|<br>1023|<br>1111|<br>1181|
|10-14<br>314|380|457|533||619|745|831|918|<br>1010|<br>1099|
|15-19<br>270|308|372|448||523|609|734|820|<br>907|<br>1000|
|20-24<br>232|265|300|363||438|512|598|722|<br>809|<br>896|
|25-29<br>195|227|258|292||353|427|501|586|<br>709|<br>797|
|30-34<br>165|190|220|249||283|343|416|490|<br>575|<br>697|
|35-39<br>138|<br>160|<br>183|<br>212||241|<br>274|<br>333|<br>406|<br>478|<br>563|
|40-44<br>116|<br>133|<br>154|<br>176||204|<br>232|<br>265|<br>323|<br>395|<br>467|
|45-49<br>97|<br>111|<br>127|<br>147||168|<br>195|<br>223|<br>255|<br>313|<br>383|
|50-54<br>81|<br>92|<br>105|<br>120||139|<br>160|<br>186|<br>213|<br>245|<br>301|
|55-59<br>66|75|86|96||112|130|150|175|<br>202|<br>233|
|60-64<br>52|60|68|77||88|101|118|137|<br>161|<br>187|
|65-69<br>37|45|<br>51|58||66|76|88|103|<br>121|<br>143|
|70-74<br>25|<br>29|<br>35|<br>40||46|<br>52|<br>61|<br>71|<br>84|<br>99|
|75*<br>21<br> <br>|27<br>|32<br>|38<br>||44<br>|52<br>|60<br>|71|85|<br>102|
|TOTAL<br>2715|3163|3671|4285||4970|5727|6559|7463|<br>8419|<br>9394|
|BIRTH RATE|48.9|47.3|47.2||44.0|41.3|38.9|36.5|33.7|30.5|
|DEATH RATE|18.9|17.4|16.0||14.2|12.9|11.7|10.6|9.6|8.7|
|RATE OFMAT.INC.|3.00|2.99|3.12||2.98|2.84|2.72|2.59|2.41|2.19|
|NET MIGRATION<br>RATE|.9|-. 3|-. 2||-. 1|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|3.09|2.96|3.10||2.98|2.84|2.72|2.59|2.41|2.19|
|TOTAL FERTILITY|6.772|6.772|6.772|6|.262|5.752|5.242|4.732|4.222|3.712|
|NRA|2.298|2.365|2.454|2|.359|2.220|2.074|1.918|1.753|1.579|
|e(0)- SOTH SEXES|47.04|48.58|50.32|5|2.22|53.86|55.55|57.31|59.13|61.03|
|e(1O)- BOTH SEXES|52.65|52.82|52.84|5|2.93|53.87|54.85|55.85|56.88|57.95|
|IHR * BOTH SEXES|131.9|120.5|107.4||93.5|86.5|79.5|72.5|65.5|58.5|
|0)- BOTH SEXES|.2229|.2025|.1779|.|1518|.1398|.1277|.1155|.1033|.0909|
|DEP. RATIO<br>93.6|<br>95.9|<br>96.6|<br>97.1||95.9|<br>92.7|<br>86.|8<br>81.|3<br>76.|1<br>70.4|
91 Projection (000s) with **NRRuI** by 2050

# SONALIA

# Sumnery for 25 Year Periods

|.......<br>............<br>_......<br>AGE GR0P<br>1985|........................................<br> <br>2000|....<br> <br>2025|<br>2050|..<br> <br>2075|.....<br>......<br> <br>2100|..................<br> <br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|..........<br>..................|..<br>............|.............|.......|....<br>......|..<br>. .......................|....||
|TOTAL<br>M+F<br>5384|<br>8510|16742|<br>25751|<br>32717|<br>36093|<br>37027|<br>37413|
|MALES||||||||
|0-4<br>516|808|1231|<br>1161|<br>1192|<br>1199|<br>1200|<br>1200|
|5-9<br>396|633|1120|<br>1198|<br>1200|<br>1199|<br>1198|<br>1197|
|10-14<br>316|<br>532|<br>1016|<br>1215|<br>1206|<br>1195|<br>1194|<br>1196|
|15-19<br>263|<br>447|<br>911|<br>1208|<br>1192|<br>1185|<br>1190|<br>1194|
|20-24<br>230|<br>365|<br>808|<br>1200|<br>1154|<br>1176|<br>1188|<br>1192|
|25-29<br>192|<br>289|<br>703|<br>1147|<br>1135|<br>1175|<br>1188|<br>1190|
|30-34<br>158|<br>239|<br>566|<br>1058|<br>1170|<br>1182|<br>1187|<br>1186|
|35-39<br>134|<br>208|<br>469|<br>951|<br>1180|<br>1183|<br>1180|<br>1180|
|40-44<br>112|<br>172|<br>385|<br>840|<br>1164|<br>1163|<br>1165|<br>1172|
|45-49<br>94|<br>139|<br>306|<br>732|<br>1142|<br>1116|<br>1147|<br>1162|
|50-54<br>78|<br>114|<br>235|<br>619|<br>1067|<br>1079|<br>1130|<br>1146|
|55-59<br>61|<br>91|<br>184|<br>475|<br>945|<br>1074|<br>1103|<br>1112|
|60-64<br>47|<br>71|<br>147|<br>363|<br>791|<br>1020|<br>1045|<br>1049|
|65-69<br>33|<br>52|<br>107|<br>263|<br>623|<br>910|<br>937|<br>948|
|70-74<br>20|<br>34|<br>70|<br>171|<br>451|<br>756|<br>770|<br>802|
|75+<br>19|<br>30|<br>65|<br>155|<br>461|<br>971|<br>1177|<br>1257|
|TOTAL<br>2669|<br>4225|8322|<br>12756|<br>16075|<br>17r;84|<br>17998|<br>18183|
|FEHALES||||||||
|0-4<br>514|801|1215|<br>1143|<br>1171|<br>1175|<br>1174|<br>1173|
|5-9<br>391|<br>632|<br>1111|<br>1184|<br>1183|<br>1177|<br>1173|<br>1172|
|10-14<br>314|<br>533|<br>1010|<br>1204|<br>1191|<br>1175|<br>1171|<br>1171|
|15-19<br>270|<br>448|<br>907|<br>1200|<br>1180|<br>1168|<br>1169|<br>1171|
|20-24<br>232|<br>363|<br>809|<br>1197|<br>1147|<br>1162|<br>1169|<br>1172|
|25-29<br>195|<br>292|<br>709|<br>1149|<br>1133|<br>1166|<br>1173|<br>1173|
|30-34<br>165|<br>249|<br>575|<br>1065|<br>1173|<br>1178|<br>1176|<br>1172|
|35-39<br>138|<br>212|<br>478|<br>962|<br>1188|<br>1183|<br>1172|<br>1169|
|40-44<br>116|<br>'176|<br>395|<br>855|<br>1178|<br>1170|<br>1163|<br>1166|
|45-49<br>97|<br>147|<br>313|<br>750|<br>1165|<br>1131|<br>1154|<br>1163|
|50-54<br>81|<br>120|<br>245|<br>645|<br>1103|<br>1107|<br>1150|<br>1160|
|55-59<br>66|<br>98|<br>202|<br>507|<br>999|<br>1128|<br>1148|<br>1151|
|60-64<br>52|<br>77|<br>161|<br>402|<br>869|<br>1112|<br>1129|<br>1126|
|65-69<br>37|<br>58|<br>121|<br>305|<br>722|<br>1048|<br>1072|<br>1077|
|70-74<br>25|<br>40|<br>84|<br>209|<br>562|<br>942|<br>955|<br>990|
|75'<br>21|<br>38|<br>85|<br>218|<br>679|<br>1488|<br>1879|<br>2024|
|TOTAL<br>2715|<br>4285|<br>8419|<br>12995|<br>16642|<br>18509|<br>19029|<br>19229|
|BIRTH RATE|47.7|38.2|24.0|16.5|13.9|13.0|12.8|
|DEATH<br>RATE|17.3|11.5|7.2|7.0.|10.0|12.0|12.4|
|NET MIGRATION<br>RATE|.1|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|3.05|2.71|1.72|.96|.39|.10|.04|
|TOTAL<br>FERTILITY|6.769|5.075|2.810|2.083|2.057|2.041|2.040|
|e(O)<br>- BOTHSEXES|48.81|56.08|65.46|72.81|75.77|77.88|78.44|
|IER- BOTH SEXES|118.8|78.5|44.9|20.5|12.7|7.8|7.1|
92 SUDAN Projection tOWs) with NRR-1 by 2035

|..**..**<br>, ...................<br>AGEGCRUP<br>1985|....<br>.....<br>.<br>1990|....................<br>1995|.............<br>2000|...........................<br>2005|2010|<br>2015|.......<br>..............<br>2020|2025|......<br> <br>2030|
|---|---|---|---|---|---|---|---|---|---|
|TOTAL14F<br>21818<br>|25095|28817|32930|37484|<br>42354|<br>47423|52507|57416|<br>62005|
|MALES<br> <br>||||||||||
|0.4<br>1982|2263|2533|2792|3085|3292|<br>3447|3509|3474|<br>3365|
|5-9<br>1672|1892|2174|2451|2720|3013|<br>3222|3381|3450|<br>3423|
|10-14<br>1375|1647|1867|2149|2427|<br>2696|<br>2987|3198|3358|<br>3429|
|15-19<br>1150|<br>1349|<br>1618|<br>1837|<br>2117|<br>2393|<br>2662|<br>2953|<br>3165|<br>3327|
|20-24<br>966|1113|<br>1310|<br>1575|<br>1789|<br>2067|<br>2342|<br>2610|<br>2901|<br>3116|
|25-29<br>8C9<br> <br>|<br>925<br>|<br>1072|<br>1264|<br>1520|<br>1733|<br>2008|<br>2282|<br>2550|<br>2843|
|30-34<br>680|<br>771|<br>887|<br>1029|<br>1215|<br>1467|<br>1678|<br>1951|<br>2223|<br>2493|
|35-39<br>568|<br>644|<br>734|<br>846|<br>983|<br>1165|<br>1413|<br>1622|<br>1892|<br>2165|
|40-44<br>472|<br>533|<br>608|<br>694|<br>800|<br>934|<br>1112|<br>1355|<br>1562|<br>1831|
|45-49<br>387|<br>438|<br>497|<br>566|<br>647|<br>751|<br>881|<br>1055|<br>1291|<br>1496|
|50-54<br>312<br>|<br>352|<br>400|<br>454|<br>518|<br>596|<br>695|<br>821|<br>989|<br>1217|
|55-59<br>246|<br>276|<br>312|<br>355|<br>403|<br>464|<br>537|<br>631|<br>750|<br>909|
|60-64<br>186<br> <br>|<br>208<br>|<br>234<br>|<br>265|<br>302|<br>346|<br>401|<br>468|<br>554|<br>664|
|65-69<br>132|146|164|185|210|242|280|328|387|463|
|70-74<br>85<br> <br>|<br>94|<br>105|<br>118|<br>133|<br>153|<br>178|<br>209|<br>248|<br>296|
|75.<br>68|77|86|96|108|124|146|173|208|253|
|TOTAL<br>11090|12729|14601|16675|18976|<br>21434|23989|26544|29002|31289|
|FEMALES<br>||||||||||
|0-4<br>1922|2209|2470|2718|2998|3199|3348|3408|3372|3265|
|5-9<br>1576|<br>1837|<br>2127|<br>2396|2656|2936|3140|3293|3359|3331|
|10-14<br>1287<br> <br>|<br>1551<br>|<br>1812|<br>2102|<br>2372|<br>2631|<br>2912|<br>3117|<br>3272|<br>3340|
|15-19<br>1082|<br>1260|<br>1522|<br>1780|<br>2068|<br>2337|<br>2597|<br>2878|<br>3085|<br>3243|
|20-24<br>919|1049|1224|1479|1731|2017|2285|2546|2829|3040|
|25-29<br>781|<br>884|1010|<br>1179|<br>1426|<br>1676|<br>1959|<br>2227|<br>2489|<br>2775|
|30-34<br>660|747|847|<br>968|<br>1131|<br>1374|<br>1621|<br>1902|<br>2170|<br>2434|
|35-39<br>555|629|713|<br>809|<br>924|<br>1085|<br>1323|<br>1567|<br>1846|<br>2116|
|40-44<br>464|526|597|<br>677|<br>768|<br>882|<br>1040|<br>1274|<br>1516|<br>1794|
|45-49<br>385|'|497|563|639|728|841|996|1225|1464|
|50-54<br>317<br> <br>|358<br>|407<br>|463<br>|524<br>|598|685|795|947|1171|
|55-59<br>255<br> <br>|288<br>|326<br>|370<br>|420<br>|480|551|636|743|890|
|60-64<br>200|223|-<br>251|285|324|371|427|495|576|678|
|65-69<br>144|164|183|<br>207|<br>234|<br>269|<br>312|364|<br>426|<br>502|
|70-74<br>96|108|123|<br>137|<br>154|<br>177|<br>207|244|<br>289|<br>344|
|75+<br>85<br> <br>|96<br> <br>|108<br> <br>|<br>122<br>|<br>137|<br>158|<br>186|223|<br>270|<br>329|
|TOTAL<br>10728|<br>12367|<br>14216|<br>16255|<br>18507|<br>20919|<br>23434|<br>25963|<br>28413|<br>30716|
|BIRTH RATE|43.7|41.9|39.6|37.7|35.3|32.6|29.6|26.5|23.5|
|OEATH RATE|15.3|14.1|12.8|11.8|10.8|10.0|9.3|8.6|8.1|
|RATE OF NAT. INC.|2.84|2.79|2.68|2.60|2.44|2.26|2.04|1.79|1.54|
|NET MIGRATION<br>RATE|-.4|-.2|-.1|-.1|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|2.80|2.77|2.67|2.59|2.44|2.26|2.04|1.79|1.54|
|TOTAL FERTILITY|6.440|6.013|5.585|5.158|4.648|4.138|3.628|3.136|2.711|
|NRR|2.358|2.271|2.168|2.056|1.888|1.712|1.529|1.347|1.185|
|e(O)- BOTH SEXES|49.79|51.17|52.55|53.92|55.40|56.94|58.56|60.26|62.04|
|e(t0)- BOTH SEXES|4'.74|50.10<br>|50.24<br>|50.34<br>|51.46<br>|52.64|53.86|55.15|56.49|
|INR- BOTH SEXES<br>|108.0<br>|97.3<br>|84.8|72.1|67.0|61.9|56.8|51.7|46.6|
|q(5)- BOTH SEXES|.1566|.1395|.1197|.0998|.0924|.0850|.0776|.0701|.0626|
|DEP. RATIO<br>91.5|<br>92.9|<br>91.3|<br>88.6|<br>85.1|<br>80.5|<br>75.3|<br> <br>69.0|<br> <br>62.6|<br>56.3|
93 Projection (000s) with NRR-1 by 2035 SUDAN

# Summry for 25 Year Perfods

|...........<br>......<br>AGE GROUP|...............<br>1985|. ....<br> <br>2000|..............<br> <br>2025|.......................<br> <br>2050|.............................<br> <br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|. .................|.............|.......................||..<br>...|.......<br>...........|.............|............|............<br>... ...|
|TOTAL M.F|21818|<br>32930|<br>57416|<br>78640|<br>93688|<br>99092|<br>101182|<br>102053|
|MALES|||||||||
|0-4|1982|<br>2792|<br>3474|<br>3350|<br>3297|<br>3284|<br>3287|<br>3291|
|5-9|i672|2451|<br>3450|<br>3307|<br>3264|<br>3272|<br>3283|<br>3287|
|10-14|1375|<br>2149|<br>3358|<br>3192|<br>3239|<br>3269|<br>3282|<br>3285|
|15-19|1150|<br>1837|<br>3165|<br>3129|<br>3240|<br>3273|<br>3280|<br>3280|
|20-24|966|<br>1575|<br>2901|<br>3263|<br>3260|<br>3273|<br>3270|<br>3271|
|25-29|809|1264|2550|3318|3285|3255|3256|3261|
|30-34|680|1029|<br>2223|<br>3290|<br>3239|<br>3219|<br>3239|<br>3253|
|35-39|568|846|1892|<br>3155|<br>3110|<br>3182|<br>3228|<br>3245|
|40-44|472|694|1562|<br>2919|<br>3027|<br>3167|<br>3220|<br>3231|
|45-49|387|566|1291|<br>2619|<br>3120|<br>3159|<br>3197|<br>3200|
|50-54|312|454|989|2230|<br>3107|<br>3130|<br>3132|<br>3141|
|55-59|246|355|750|1845|<br>2960|<br>2984|<br>3006|<br>3037|
|60-64|186|<br>265|554|1443|<br>2652|<br>2701|<br>2816|<br>2873|
|65-69|132|<br>185|387|1045|<br>2196|<br>2382|<br>2558|<br>2622|
|70-74|85|118|248|702|<br>1645|<br>2084|<br>2186|<br>2239|
|75+|68|96|208|610|1769|<br>3035|<br>3341|<br>3473|
|TOTAL|11090|<br>16675|<br>29002|<br>39417|<br>46409|<br>48669|<br>49581|<br>49991|
|FEMALES|||||||||
|0-4|1922|<br>2718|3372|<br>3246|<br>3189|<br>3170|<br>3170|<br>3171|
|5-9|1576|<br>2396|3359|<br>3214|<br>3165|<br>3164|<br>3169|<br>3171|
|10-14|1287|<br>2102|3272|<br>3107|<br>3145|<br>3165|<br>3172|<br>3172|
|15-19|1082|<br>1780|<br>3085|3052|<br>3154|<br>3176|<br>3174|<br>3171|
|20-24|919|1479|<br>2829|<br>3190|<br>3184|<br>3185|<br>3172|<br>3169|
|25-29|781|1179|<br>2489|<br>3252|<br>3221|<br>3177|<br>3166|<br>3167|
|30-34|660|968|2170|<br>3229|<br>3186|<br>3152|<br>3159|<br>3166|
|35-39|555|809|1846|<br>3101|<br>3070|<br>3127|<br>3158|<br>3166|
|40-44|464|-677|<br>1516|<br>2875|<br>3000|<br>3127|<br>3164|<br>3165|
|45-49|385|563|1225|<br>2593|<br>3112|<br>3141|<br>3162|<br>3154|
|50-54|317|463|947|2233|<br>3131|<br>3150|<br>3135|<br>3131|
|55-59|255|370|743|1885|<br>3040|<br>3068|<br>3075|<br>3093|
|60-64|200|285|576|1524|<br>2813|<br>2880|<br>2988|<br>3035|
|65-69|144|207|426|1145|<br>2444|<br>2679|<br>2870|<br>2930|
|70-74|96|137|289|793|1958|<br>2528|<br>2659|<br>2716|
|75+|85|122|270|783|2469|<br>4532|<br>5208|<br>5485|
|TOTAL|10728|<br>16255|<br>28413|<br>39223|<br>47279|<br>50423|<br>51601|<br>52062|
|BIRTH RATE||41.6|31.7|19.8|15.1|13.5|13.0|12.8|
|DEATH<br>RATE||14.0|9.9|7.4|8.2|11.3|12.2|12.5|
|NET MIGRAT|ION<br>RATE|-. 2|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE||2.74|2.22|1.26|.70|.22|.08|.03|
|TOTAL<br>FERTI|LITY|5.976|3.993|2.300|2.093|2.070|2.056|2.055|
|e(O) BOTH|SEXES|51.30|57.37|66.20|73.41|76.07|77.98|78.47|
|IMR<br>- BOTH S|EXES|96.0|61.7|36.4|18.5|11.9|7.7|7.0|
94

|UGANDA||Pro|jection<br>(OOO|s)<br>with NRR|=1 b|y 2040|||||
|---|---|---|---|---|---|---|---|---|---|---|
|AGE GROLP<br>1985|<br>1990|<br>1995|2000|<br>2005||2010|<br>2015|<br>2020|<br>2025|<br>2030|
|.......................................................................................|................................|||||||||....................|
|TOTALM+F<br>14680|<br>'7479|20467|<br>23839|<br>27651||31849|<br>36328|<br>40917|<br>45426|<br>49800|
|MALES|||||||||||
|0-4<br>1435|<br>1766|<br>1892|2116|<br>2370||2604|<br>2789|<br>2889|<br>2899|<br>2881|
|5-9<br>1146|<br>1363|<br>1690|1823|<br>2054||2307|<br>2542|<br>2730|<br>2836|<br>2852|
|10-14<br>937|1128|<br>1344|1670|<br>1805||2035|<br>2288|<br>2522|<br>2711|<br>2818|
|15-19<br>775|920|1110|.325|1648||1783|<br>2013|<br>2265|<br>2500|<br>2689|
|20-24<br>624|753|897|1085|<br>1298||1617|<br>1753|<br>1981|<br>2233|<br>2468|
|25-29<br>509|602|730|872|1057||1267|<br>1582|<br>1718|<br>1946|<br>2198|
|30-34<br>418|488|581|707|846||1029|<br>1236|<br>1547|<br>1684|<br>1912|
|35-39<br>335|399|469|560|683||820|999|1204|<br>1511|<br>1649|
|40-44<br>273|<br>31-|<br>380|<br>448|<br>536||656|<br>791|<br>967|<br>116|9<br>1472|
|45-49<br>205|<br>256|<br>299|<br>359|<br>424||510|<br>626|<br>758|<br>930|<br>1128|
|50-54<br>184|<br>188|<br>237|<br>277|<br>334||396|<br>478|<br>590|<br>717|<br>884|
|55-59<br>147|<br>165|<br>170|<br>214|<br>251||303|<br>362|<br>440|<br>545|<br>666|
|60-64<br>110|<br>126|<br>142|<br>147|<br>185||219|<br>267|<br>320|<br>391|<br>489|
|65-69<br>78|<br>88|<br>102|<br>115|<br>119||152|<br>181|<br>222|<br>269|<br>332|
|70-74<br>49||65|<br>75|<br>85||89|<br>114|<br>138|<br>171|<br>209|
|75+<br>41|<br>46|<br>54|<br>62|<br>72||84|<br>93|<br>115|<br>141|<br>178|
|TOTAL<br>7265|<br>8664|<br>10161|<br>11853|<br>13766||15871|<br>18114|<br>20407|<br>22654|<br>24826|
|FEMALES|||||||||||
|0-4<br>1429|1751|1873|2091|<br>2339||2569|<br>2750|<br>2848|<br>2856|<br>2837|
|5-9<br>1144|<br>1359|<br>1678|<br>1810|<br>2036||2284|<br>2515|<br>2699|<br>2803|<br>2818|
|10-14<br>935|<br>1125|<br>1339|<br>1658|<br>1792||2018|<br>2265|<br>2497|<br>2682|<br>2788|
|15-19<br>782|<br>918|<br>1106|<br>1319|<br>1636||1771|<br>1996|<br>2244|<br>2476|<br>2664|
|20-24<br>634|<br>761|<br>895|<br>1082|<br>1293||1607|<br>1743|<br>1968|<br>2216|<br>2450|
|25-29<br>522|<br>613|<br>738|<br>871|<br>1054||1263|<br>1574|<br>1711|<br>1936|<br>2186|
|30-34<br>432|<br>503|<br>592|<br>715|<br>845||1027|<br>1234|<br>1541|<br>1679|<br>1906|
|35-39<br>350|<br>415|<br>484|<br>572|<br>692||821|<br>999|<br>1204|<br>150|9<br>1649|
|40-44<br>287|<br>335|<br>398|<br>465|<br>551||668|795|972|<br>1175|<br>1476|
|45-49<br>217|<br>273|<br>320|<br>380|<br>'45||529|<br>644|<br>769|<br>943|<br>1144|
|50-54<br>198|<br>204|<br>257|<br>302|<br>360||423|<br>504|<br>616|<br>739|<br>909|
|55-59<br>160|<br>182|<br>189|<br>238|<br>280||335|<br>396|<br>474|<br>583|<br>702|
|60-64<br>125|<br>143|<br>163|<br>169|<br>213||252|<br>304|<br>362|<br>436|<br>540|
|65-69<br>89|<br>105|<br>120|<br>137|<br>143||182|<br>218|<br>265|<br>318|<br>388|
|70-74<br>58|<br>68|<br>81|<br>93|<br>107||113|<br>145|<br>176|<br>217|<br>263|
|75,<br>53|<br>61|<br>72|<br>85|<br>100||118|<br>132|<br>164|<br>204|<br>256|
|TOTAL<br>7415|<br>8815|<br>10306|<br>11986|<br>13885||15978|<br>18214|<br>20510|<br>22772|<br>24974|
|BIRTH RATE|50.8|45.3|42.6|40.3||38.0|35.3|32.0|28.5|25.5|
|DEATH RATE|15.3|13.5|12.0|10.6||9.7|8.9|8.2|7.6|7.1|
|RATE OF NAT. INC.|3.55|3.18|3.07|2.97||2.83|2.63|2.38|2.0?|1.84|
|NET MIGRATION<br>RATE|-.6|-.3|-.1|-.0||.0|.0|.0|.0|.0|
|GROWTH<br>RATE|3.49|3.16|3.05|2.97||2.83|2.63|2.38|2.09|1.84|
|TOTAL FERTILITY|6.970|6.460|5.950|5.440|4|.930|4.420|3.910|3.400|2.969|
|NRR|2.606|2.469|2.344|2.212|2|.041|1.862|1.677|1.484|1.318|
|e(O) - BOTH SEXES|50.94|52.50|54.23|56.08|5|7.52|59.01|60.55|62.16|63.83|
|e(lO) - BOTH SEXES|52.13|52.59|53.05|53.56|5|4.52|55.51|56.54|57.60|58.71|
|IMR- BOTH SEXES|115.9|104.7|92.0|78.7||72.7|66.7|60.7|54.6|48.6|
|q(5)- BOTH SEXES|.1693|.1514|.1311|.1102||.1015|.0928|.0840|.0752|.0663|
|<br>DEP. RATIO<br>101.|<br>5<br>104.|<br>2<br>101.|<br>5<br>97.0|<br> <br>89.|<br>0|<br>84.|<br>1<br>79.|<br>0<br>73.|<br>0<br>66.|3<br>59.7|
95

# UGANDA

# Projectifn **(000s) iIth NRR-1** by 2040.

# Sumary for 25 Year Periods

|..........................................<br>AGE**GROUP**|...............................<br>1985|................................<br>2000|2025|2050|2075|2100|2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|..........................................|...............................|................................|||||||
|TOTAL<br>MIF|14680|23839|45426|65097|79002|84258|85856|<br>86500|
|MALES|||||||||
|0-4|1435|<br>2116|2899|2783|2751|2756|2764|<br>2767|
|5-9|1146|1823|2836|2696|2731|2753|2762|<br>2764|
|10-14|937|1670|<br>2711|2651|2736|2758|2762|<br>2761|
|15-19|775|1325|2500|2755|2758|2758|2756|<br>2756|
|20-24|624|1085|2233|2796|2760|2744|2744|<br>2749|
|25-29|509|872|1946|<br>2775|2734|2718|2733|<br>2742|
|30-34|418|707|1684|2722|<br>2645|2695|2726|2737|
|35-39|335|560|1511|2574|2589|2691|2724|<br>2730|
|40-44|273|448|1169|2340|2672|2700|2714|2716|
|45-49|205|359|930|2053|2683|2679|2681|2686|
|50-54|184|277|717|1738|<br>2609|2610|2617|2638|
|55-59|147|214|545|1432|2462|2444|2519|2557|
|60-64|110|147|391|1186|<br>2180|2257|2385|2427|
|65-69|78|115|<br>269|809|1777|<br>2113|2185|2213|
|70-74|49|75|171|527|<br>1306|1804|1860|<br>18s2|
|75+|41|62|141|465|1412|2555|2806|2925|
|TOTAL|7265|11853|22654|32302|38805|41034|41738|42050|
|FEMALES|||||||||
|0-4|1429|2091|2856|2737|2699|2699|2703|2704|
|5-9|1144|1810|<br>2803|2659|2686|2701|2705|2705|
|10-14|935|1658|<br>2682|2619|2696|2709|2707|2704|
|15-19|782|1319|<br>2476|2727|2724|2715|2706|2703|
|20-24|634|1082|<br>2216|2777|2735|2709|2700|2701|
|25-29|522|871|1936|2764|2720|2691|2696|2701|
|30-34|432|7¶5|1679|2718|2640|2677|2697|2702|
|35-39|350|572|1509|2576|2594|2683|<br>2703|2703|
|40-44|287|-465|1175|2351|2689|2705|2705|2698|
|45-49|217|380|943|2075|2719|2704|2691|2685|
|50-54|198|302|739|1780|2675|2666|2658|2667|
|55-59|160|238|58-|1500|2576|2551|2614|2642|
|60-64|125|169|436|1286|<br>2360|2445|2568|2600|
|65-69|89|137|318|924|2026|2418|2490|2510|
|70-74|58|93|217|643|1599|<br>2232|2299|2317|
|75+|53|85|204|660|2059|3921|4476|4709|
|TOTAL|7415|11986|22772|<br>32795|40197|43224|44117|4451|
|BIRTH RATE||45.8|34.1|20.7|15.3|13.5|12.9|12.8|
|DEATH<br>RATE||13.4|8.8|6.5|7.7.|10.9|12.2|12.5|
|NET MIGRAT|ION<br>RATE|-.3|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE||3.23|2.58|1.44|.77|.26|.08|.03|
|TOTALFERTI|LITY|6.401|4.257|2.383|2.068|2.051|2.041|2.039|
|**e(O)-** BOT|H SEXES|52.73|59.45|67.70|74.17|76.50|78.16|78.59|
|**IHR-** BOTH S|EXES|103.6|66.2|36.8|16.3|10.9|7.5|6.9|
# SOUTH-CENTRAL AND INDIAN OCEAN

# DEPARTMENT (AF3)
98

|BURtNDI<br>..............................<br>....................|...............................................|ProJ<br>..............................................|ection (OO|Os) with NRRu|1 by 2045|||||
|---|---|---|---|---|---|---|---|---|---|
|AGE GROUP<br>1985|1990|<br>1995|<br>2000|<br>2005|2010|2015|<br>2020|<br>2025|<br>2030|
|,..................................................................................|||||.|..............................................|......................|||
|TOTAL N+F<br>4696|5483|<br>6460|7487|<br>8602|968|11213|<br>12686|<br>14178|<br>15606|
|MALES||||||||||
|0-4<br>430|539|646|683|<br>738|809|893|956|980|<br>962|
|5-9<br>321|397|503|610|653|708|780|864|929|<br>956|
|10-14<br>269|312|387|492|599|642|697|769|<br>853|<br>919|
|15-19<br>248|262|305|379|<br>483|588|632|687|759|<br>844|
|20-24<br>235|240|254|295|368|470|574|618|674|<br>746|
|25-29<br>195|225|230|244|<br>284|<br>355|455|558|<br>602|<br>659|
|30-34<br>138|186|<br>216|221|<br>234|274|<br>344|442|543|<br>588|
|35-39<br>95|131|178|<br>206|<br>211|225|264|333|<br>429|<br>529|
|40-44<br>74|90|125|169|<br>196|201|216|254|<br>321|<br>415|
|45-49<br>68|69|84|<br>117|<br>159|185|191|205|243|<br>308|
|50-54<br>60|63|64|78|<br>108|148|173|<br>179|<br>194|<br>230|
|55-59<br>45|54|57|58|70|98|135|158|<br>165|<br>179|
|60-64<br>34|39|47|50|<br>51|62|87|119|<br>141|<br>148|
|65-69<br>29|28|32|39|41|42|51|73|101|<br>120|
|70-74<br>21|22|21|24|29|31|32|39|56|73|
|75+<br>29|25|24|23|<br>25|29|32|34|41|55|
|TOTAL<br>2290|2683|3173|3688|<br>4248|4867|5554|<br>6289|7031|<br>7737|
|FEMALES||||||||||
|0-4<br>427|534|640|675|728|798|880|943|966|<br>948|
|5-9<br>327|397|502|607|648|701|772|<br>855|920|<br>946|
|10-14<br>265|318|387|491|597|639|692|763|<br>846|<br>912|
|15-19<br>246|259|311|380|<br>483|588|630|683|755|<br>838|
|20-24<br>238|239|252|304|371|473|577|619|673|<br>745|
|25-29<br>200|230|231|244|<br>295|361|462|565|608|<br>663|
|30-34<br>145|193|222|223|236|286|351|450|553|<br>597|
|35-39<br>110|139|185|213|<br>215|228|277|341|439|<br>541|
|40-44<br>95|105|133|177|<br>204|206|220|268|<br>331|<br>428|
|45-49<br>85|90|100|126|<br>168|195|198|211|259|<br>322|
|50-54<br>73|80|85|94|119|159|185|189|<br>203|<br>249|
|55-59<br>57|68|74|79|<br>87|111|149|174|<br>178|<br>192|
|60-64<br>44|51|-<br>61|67|71|79|101|136|<br>160|<br>165|
|65-69<br>38|37|43|51|56|60|68|88|119|<br>142|
|70-74<br>27|29|29|34|40|44|48|54|71|98|
|75+<br>28|30|33|34|37|44|51|57|66|83|
|TOTtL<br>2406|2800|3287|3798|<br>4354|4971|5659|6397|7147|<br>7868|
|BIRTH RATE|49.2|49.4|43.9|40.3|38.3|36.7|34.3|31.1|27.3|
|DEATH RATE|17.6|16.3|14.2|12.5|11.4|10.5|9.6|8.8|8.1|
|RATE OFMAT.INC.|3.16|3.31|2.97|2.78|2.69|2.62|2.47|2.22|1.92|
|NETMIGRATION<br>RATE|-.6|-.3|-.2|-.0|.0|.0|.0|.0|.0|
|<br> <br>GROWTH<br>RATE|<br>3.10|<br>3.28|<br>2.95|<br>2.78|<br>2.69|<br>2.62|<br>2.47|<br>2.22|1.92|
|TOTAL FERTILITY|6.800|6.800|6.290|5.780|5.270|4.760|4.250|3.740|3.230|
|NRR|2.389|2.486|2.377|2.261|2.106|1.943|1.771|1.592|1.404|
|e(O) - BOTH SEXES|48.83|50.12|51.66|53.40|54.96|56.57|58.25|60.00|61.83|
|el0O)- BOTH SEXES|51.72|51.69|51.67|51.82|52.86|53.94|55.06|56.22|57.42|
|INR - BOTH SEXES|111.9|101.9|89.7|76.8|71.3|65.8|60.3|54.8|49.4|
|q(5) - BOTH SEXES|.1866|.1675|.1450|.1217|.1123|.1029|.0934|.0839|.0743|
|<br>DEP. RATIO<br>89.0|<br> <br>94.8|<br> <br>101.1|<br> <br>101.1|<br>95.0|<br>85.9|<br>80.4|<br> <br>76.4|<br> <br>72.3|<br>66.2|
99

# **DURUNDI**

# Projection **(0009)** with **NRR-1** by 2045

Suimary for 25 Year Periods

|~~~~~~|~~~~~~~<br>,,,|~~~~~~~~<br>,,,,,,,................................|~~~~<br>................**..**<br>, ......................|.........||||
|---|---|---|---|---|---|---|---|
|**ACEGROUP**<br>1985|<br>2000|2025|2050|<br>2075|<br>2100|<br>2125|<br>2150|
|<br> <br>......................................|<br>|<br>...........................|<br>.......................................|<br> <br>.........|<br>|<br>|<br>|
|TOTAL**M+F**<br>4696|7487|14178|<br>20754|<br>25758|<br>27926|<br>28561|<br>28829|
|MALES||||||||
|0-4<br>430|683|960|910|915|920|923|924|
|5-9<br>321|610|929|891|914|921|922|922|
|10-14<br>269|492|853|<br>917|<br>920|921|<br>921|921|
|15-19<br>248|379|759|<br>926|922|918|<br>918|919|
|20-24<br>235|295|<br>674|921|910|910|915|917|
|25-29<br>195|<br>244|602|921|891|<br>902|912|916|
|30-34<br>138|221|543|878|871|900|911|<br>914|
|35-39<br>95|<br>206|429|797|<br>892|903|909|<br>910|
|40-44<br>74|169|321|697|894|900|902|<br>904|
|45-49<br>68|117|243|606|879|881|888|<br>895|
|50-54<br>60|78|194|527|859|847|868|<br>ago|
|55-59<br>45|58|<br>165|452|786|<br>801|840|<br>854|
|60-64<br>34|50|141|330|666|<br>772|<br>798|<br>809|
|65-69<br>29|39|1o0|<br>217|520|700|726|<br>734|
|70-74<br>21|24|56|135|<br>377|<br>583|608|<br>621|
|75+<br>29|23|41|131|<br>410|801|<br>910|<br>966|
|TOTAL<br>2290|<br>3688|7031|<br>10256|<br>12625|<br>13582|<br>13872|<br>14007|
|FEMALES||||||||
|0-4<br>427|675|966|896|<br>899|<br>902|903|<br>903|
|5-9<br>327|607|920|881|901|904|904|<br>903|
|10-14<br>265|491|846|908|909|906|903|<br>902|
|15-19<br>246|380|755|920|913|905|902|<br>902|
|20-24<br>238|304|673|<br>919|905|900|900|<br>902|
|25-29<br>200|244|608|922|889|896|901|<br>902|
|30-34<br>145|<br>223|553|<br>884|<br>873|<br>897|903|<br>903|
|35-39<br>liO|213|<br>439|<br>s80|<br>898|903|<br>904|<br>902|
|40-44<br>95|-177|<br>331|710|<br>904|906|901|<br>899|
|45-49<br>85|126|259|624|896|894|894|<br>895|
|50-54<br>73|<br>94|203|552|888|<br>870|884|<br>891|
|55-59<br>57|79|178|<br>487|833|<br>842|875|<br>884|
|60-64<br>44|67|160|<br>369|732|<br>843|864|<br>869|
|65-69<br>38|51|119|<br>257|<br>605|<br>808|832|<br>835|
|70-74<br>27|34|71|173|<br>472|<br>729|<br>757|<br>768|
|75+<br>28|34|66|190|<br>614|<br>1240|<br>1462|<br>1562|
|TOTAL<br>2406|<br>3798|7147|<br>10498|<br>13133|<br>14344|<br>1468B|<br>14822|
|BIRTH<br>RATE|47.2|35.5|22.0|15.9|13.7|13.0|12.8|
|DEATH<br>RATE|15.9|10.3|7.1|7.4.|10.5|12.1|12.4|
|NETMIGRATION<br>RATE|b.3|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|3.11|2.55|1.52|.86|.32|.09|.04|
|TOTAL<br>FERTILITY|6.604|4.595|2.545|2.076|2.054|2.041|2.040|
|**e(O)**<br>**- BOTH**SEXES|50.35|57.06|66.08|73.25|76.00|77.97|78.48|
|INR**- BOTH**SEXES|100.5|65.1|38.6|19.1|12.2|7.7|7.1|
100

|C0MOROS<br>......................................||Pro<br>................................|jectfon<br>(000s)<br>w<br>..............................................|<br>ith NRRuIby|2040|||z.|........................|
|---|---|---|---|---|---|---|---|---|---|
|P.GEGROUP<br>1985|<br>1990|<br>1995|<br>2000|2005|2010|<br>2015|<br>2020|2025|<br>2030|
|.....................................................................................|.............................|||||||................||
|TOTALM+F<br>395|474|562|661|773|898|<br>1033|<br>1173|1313|<br>1448|
|MALES||||||||||
|0-4<br>40|49|54|60|67|75|81|85|86|<br>85|
|5-9<br>26|38|47|52|59|66|73|80|84|<br>85|
|10-14<br>30|<br>25|<br>37|<br>46|51|58|<br>65|<br>73|79|<br>83|
|15-19<br>23|<br>29|<br>25|<br>3r|46|51|<br>58|<br>65|72|<br>79|
|20-24<br>15|22|29|25|36|45|50|57|64|<br>71|
|25-29<br>11|<br>15|<br>22|<br>28|24|35|<br>44|<br>49|56|<br>63|
|30-34<br>9|<br>11|<br>14|<br>21|27|23|<br>34|<br>43|48|<br>55|
|35-39<br>9|<br>9|<br>10|<br>14|21|26|<br>23|<br>34|42|<br>47|
|40-44<br>7|<br>9|<br>8|<br>10|13|20|<br>26|<br>22|33|<br>41|
|45-49<br>8|<br>7|<br>8|<br>8|9|13|<br>19|<br>25|21|<br>32|
|50-54<br>5|<br>7|<br>6|<br>8|8|9|<br>12|<br>18|24|<br>20|
|55-59<br>5|<br>5|<br>7|<br>6|7|7|<br>8|<br>11|17|<br>22|
|60-64<br>2|<br>4|<br>4|<br>6|5|6|<br>6|<br>8|10|<br>16|
|65-69<br>4|2|<br>4|<br>3|5|4|<br>6|<br>5|7|<br>9|
|70-74<br>1|<br>3|<br>1|<br>3|3|4|<br>4|<br>4|4|<br>5|
|75*<br>3|<br>2|<br>3|2|3|3|<br>4|<br>4|5|<br>6|
|TOTAL<br>197|236|280|329|385|446|<br>513|<br>583|652|<br>719|
|FEMALES||||||||||
|0-4<br>39|<br>48|<br>53|<br>59|66|73|<br>80|<br>83|84|<br>84|
|5-9<br>26|<br>38|<br>47|<br>51|58|65|<br>72|<br>78|82|<br>84|
|10-14<br>29|<br>26|<br>37|<br>46|51|58|<br>65|<br>72|78|<br>82|
|15-19<br>20|<br>29|<br>25|<br>37|46|51|<br>57|<br>64|71|<br>78|
|20-24<br>16|<br>20|<br>28|<br>25|36|45|<br>50|<br>57|64|<br>71|
|25-29<br>13|<br>16|<br>19|<br>28|25|36|<br>44|<br>49|56|<br>63|
|30-34<br>11|<br>13|<br>15|<br>19|27|24|<br>35|<br>44|49|<br>55|
|35-39<br>9|<br>11|<br>12|<br>15|19|27|<br>24|<br>34|43|<br>48|
|40-44<br>8|<br>9|<br>10|<br>12|15|18|<br>26|<br>23|34|<br>42|
|45-49<br>7|<br>8|<br>8|<br>10|12|14|18|25|23|<br>33|
|50-54<br>4|7|<br>7|<br>8|10|11|<br>14|<br>17|25|<br>22|
|55.59<br>5|<br>4|<br>6|<br>7|8|9|<br>11|<br>13|16|<br>24|
|60-64<br>2|<br>5|<br>3|<br>6|6|7|<br>9|<br>10|12|<br>15|
|65-69<br>4|<br>2|<br>4|<br>3|5|6|<br>6|<br>8|9|<br>11|
|70-74<br>1|<br>3|<br>1|<br>3|3|4|<br>5|<br>5|7|<br>8|
|_75._<br>3|<br>2|<br>3|<br>3|4|4|<br>5|<br>6|7|<br>9|
|TOTAL<br>198|238|282|332|389|451|519|<br>590|660|<br>729|
|BIRTH RATE|49.6|44.9|42.0|39.6|37.5|35.0|32.0|28.6|25.4|
|DEATH RATE|13.1|11.0|9.6|8.2|7.7|7.1|6.6|6.1|5.7|
|RATE OF NAT.INC.|3.65|3.39|3.24|3.14|2.98|2.80|2.54|2.Ms|1.97|
|NET MIGRATION<br>RATE|.0|.0|.0|.0|.0|.0|.0|.0|.0|
|GROUTH<br>RATE|3.66|3.40|3.25|3.14|2.99|2.80|2.54|2.25|1.96|
|<br>TOTAL FERTILITY|<br>7.000|6.490|5.980<br>5|.470<br>4|.960|4.450|;.940<br>|3.430|2.970|
|NRR|2.788|2.655|2.518<br>2|.366<br>2|.171|1.972|1.767<br>|1.558|1.365|
|e(0)<br>- BOTH SEXES|56.03|57.91|59.71<br>6|1.43<br>6|2.63|63.85|65.11<br>|66.41|67.75|
|e(O)- BOTH SEXES|55.37|55.94|56.35<br>5|6.77<br>5|7.61|58.47|59.36<br>|60.27|61.21|
|IMR- BOTH SEXES|79.9|69.5|58.6|48.4|45.0|41.5|38.0|34.5|31.0|
|q(5)-BOTH SEXES|1273|1086|0894<br>|0716<br>|0661|0605|0549<br>|0493|0437|
|<br>DEP. RATIO<br>109.|.<br>0<br>100.|.<br>3<br>107.|.<br>.<br>5<br>101.3|<br>.<br>94.2|<br>88.|.<br>1<br>82.|.<br> <br>2<br>75.6|.<br>68.|.<br>3<br>61.2|
1o Projection (000s) with **NRR-1** by 2040

# COMOROS

Sumury for 25 Year Periods

|........<br>..............<br>.<br>AGE GROJP<br>'985|........<br>...........<br>2000|......<br>2025|,:.............................<br> <br>2050|<br> <br>2075|.....<br>.<br>2100|.......<br>.............<br> <br>2125|......................<br>...<br> <br>2150|
|---|---|---|---|---|---|---|---|
|.....<br>.......<br>..<br>........<br>..|...........|..............................||...<br>....|......<br>...........|.................|........<br>.......................................|
|TOTAL M+F<br>395|661|1313|<br>1920|<br>2350|2504|<br>2540|<br>2553|
|MALES||||||||
|0-4<br>40|60|86|82|81|81|81|82|
|5-9<br>26|52|84|79|80|81|81|81|
|10-14<br>30|46|79|78|81|81|81|81|
|15-19<br>23|37|72|_81_|81|81|81|81|
|20-24<br>15|25|64|83|82|81|81|81|
|25-29<br>11|28|56|83|81|80|81|81|
|30-34<br>9|21|48|81|78|79|80|81|
|35-39<br>9|14|42|76|76|79|80|81|
|40-44<br>7|10|<br>33|68|<br>79|80|80|80|
|45-49<br>8|8|21|59|80|80|79|79|
|50-54<br>5|8|24|51|79|78|77|78|
|55-59<br>5|6|17|<br>42|74|72|74|75|
|60-64<br>2|6|10|<br>34|65|67|71|72|
|65-69<br>4|3|7|24|53|63|65|65|
|70-74<br>1|3|4|13|39|<br>55|56|56|
|75+<br>3|2|5|16|43|79|85|87|
|TOTAL<br>197|329|652|949|1151|<br>1218|<br>1234|<br>S241|
|FEMALES||||||||
|0-4<br>39|59|84|81|79|79|80|8C|
|5-9<br>26|51|82|78|79|80|80|80|
|10-14<br>29|46|78|77|79|80|80|80|
|15-19<br>20|37|71|80|80|80|80|80|
|20-24<br>16|25|64|82|<br>81|80|80|80|
|25-29<br>13|28|56|83|85|79|79|80|
|30-34<br>1t|19|49|81|78|79|79|AO|
|35-39<br>9|15|43|76|76|79|80|80|
|40-44<br>8|12|34|69|80|80|80|80|
|45-49<br>7|10|23|61|81|80|79|79|
|50-54<br>4|8|25|53|81|79|78|79|
|55-59<br>5|<br>7|16|45|78|75|77|78|
|60-64<br>2|6|12|38|71|72|76|77|
|65-69<br>4|3|9|28|61|72|74|74|
|70-74<br>1|3|7|17|49|68|69|69|
|75+<br>3|<br>3|7|Z-|<br>66|123|<br>136|<br>141|
|TOTAL<br>198|332|660|<br>971|1198|<br>1286|<br>1306|<br>1312|
|BIRTH RATE|45.1|33.8|20.4|15.1|13.3|12.9|12.7|
|DEATH<br>RATE|11.0|7.0|5.5|7.2|10.8|12.3|12.5|
|NET MIGRATION<br>RATE|.0|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|3.43|2.74|.52|.81|.26|.06|.02|
|TOTAL FERTILITY|6.434|4.277|2.354|2.053|2.045|2.040|2.039|
|eCO)- BOTH SEXES|58.09|64.23|70.80|75.71|77.33|78.46|78.75|
|**IMR**BOTH<br>SEXES|68.7|41.1|24.1|12.3|9.1|7.1|6.7|
102

|DJIBOUTI<br>.<br>..................................................................||ProJection(000s)<br>w|<br>ith NRRx1 by<br>...........|2040|...........|.........|||
|---|---|---|---|---|---|---|---|---|
|AGE GROLP<br>1985|<br>1990|<br>1995<br>2000|2005|2010|2015|<br>2020|<br>2025|<br>2030|
|......................................................................................|............................................||||||||
|TOTAL M.F<br>350|424|498<br>580|672|770|874|980|<br>1084|<br>1184|
|MALES|||||||||
|0-4<br>32|39|45<br>50|56|61|66|69|70|<br>69|
|5-9<br>26|30|36<br>43|48|54|59|63|67|<br>68|
|10-14<br>22|25|30<br>36|42|48|53|58|63|<br>66|
|15-19<br>18|<br>22|<br>25<br>29|35|42|<br>47|<br>53|<br>58|<br>62|
|20-24<br>15|<br>19|<br>22<br>25|29|35|<br>41|<br>46|<br>52|<br>57|
|25.29<br>13|<br>17|<br>1°<br>22|25|29|<br>34|<br>40|<br>46|<br>51|
|30-34<br>12|<br>15|<br>17<br>19|22|24|<br>29|<br>34|<br>40|<br>45|
|35-39<br>10|<br>13|<br>15<br>17|19|21|<br>24|<br>28|<br>33|<br>39|
|40-44<br>8|<br>11|<br>13<br>14|17|19|<br>21|<br>23|<br>27|<br>32|
|45-49<br>6|<br>8|<br>10<br>12|14|16|<br>18|<br>20|<br>23|<br>26|
|50-54<br>5|<br>6|<br>8<br>10|12|13|<br>15|<br>17|<br>19|<br>22|
|55.59<br>4|<br>5|5<br>7|9|11|<br>12|<br>14|<br>16|<br>18|
|60-64<br>3|<br>3|<br>4<br>5|6|8|<br>10|<br>11|<br>13|<br>15|
|65-69<br>2|2|3<br>3|4|5|7|<br>8|<br>9|<br>11|
|70-74<br>1|<br>1|<br>2<br>2|3|3|<br>4|<br>5|<br>7|<br>a|
|75.<br>1|<br>1|<br>1<br>2|2|3|<br>3|<br>4|<br>6|<br>7|
|TOTAL<br>176|217|254<br>k96|342|392|443|495|<br>546|<br>595|
|FEKALES|||||||||
|0-4<br>33|<br>38|<br>45<br>5o|55|60|<br>65|<br>68|<br>69|<br>68|
|5-9<br>26|<br>31|<br>36<br>43|48|53|<br>58|<br>63|<br>66|<br>67|
|10-14<br>21|<br>26|<br>31<br>36|42|47|<br>53|<br>58|<br>62|<br>65|
|15-19<br>17|<br>21|<br>25<br>30|35|42|<br>47|<br>52|<br>57|<br>62|
|20-24<br>14|<br>17|<br>21<br>25|30|35|<br>41|<br>46|<br>52|<br>57|
|25-29<br>13|<br>14|<br>17<br>21|25|29|<br>34|<br>40|<br>46|<br>51|
|30-34<br>11|<br>13|<br>14<br>17|20|24|<br>29|<br>34|<br>40|<br>45|
|35-39<br>9|11|<br>13<br>14|16|20|<br>24|<br>28|<br>33|<br>39|
|40-44<br>7|<br>9|<br>11<br>12|13|16|<br>19|<br>23|<br>28|<br>32|
|45-49<br>6|<br>7|<br>8<br>10|12|13|<br> <br>15|<br> <br> <br>19|<br> <br> <br>23|<br><br> <br>27|
|50-54<br>5|<br>6|<br>6<br>5|10|11|<br>12|<br>1S|<br>18|<br>22|
|S5-59<br>4|<br>5|<br>5<br>6|8|9|<br>11|<br>12|<br>14|<br>17|
|60-64<br>3|<br>4|<br>o4<br>5|5|7|<br>8|<br>10|<br>11|<br>13|
|65-69<br>2|<br>3|<br>3<br>4|4|5|<br>6|7|<br>9|<br>10|
|70-74<br>1|<br>2|<br>2<br>2|3|3|<br>4|<br>5|<br>6|<br>7|
|75+<br>1|<br>1|<br>2<br>2|3|3|4|5|6|<br>7|
|TOTAL<br>174|207|243<br>284|330|379|431|484|<br>538|<br>589|
|BIRTH RATE|46.7|45.3<br>42.2<br>|39.6<br>|37.2|34.7|31.9|28.8|25.7|
|DEATH RATE|17.7|15.7<br>13.7<br>|11.9<br>|11.0|10.2|9.4|8.7|8.1|
|RATE OF NAT. INC.<br>|2.90|2.96<br>2.85<br>|2.77<br>|2.62|2.45|2.25|2.01|1.76|
|NET MIGRATION<br>RATE|9.1|2.6<br>2.2|1.6|1;1|.7|.4|.2|.0|
|GP.WfH RATE|3.82|3.22<br>3.08<br>|2.93<br>|<br>2.73|2.52|2.29|2.03|1.76|
|TOTAL FERTILITY|6.600|6.600<br>6.090<br>5|.580<br>5|.070|4.560|4.050|3,<40|3.062|
|NRR|2.277|2.372<br>2.289<br>2|.188<br>2|.030|1.865|1.692|1.510|1.334|
|eCO) BOTH SEXES|47.02|49.77<br>52.52<br>5|5.20<br>5|6.72|58.28|59.90|61.58|63.31|
|edIO)- BOTH SFXES|51.02|52.51<br>53.69<br>5|4.74<br>5|5.62|56.51|57.44|58.39|59.37|
|IHR- 80H SEXES|122.0|109.5<br>95.9<br>|82.3<br>|76.0|69.7|63.5|57.2|50.9|
|q(5)- BOTH SEXES|.2052|.1819<br>.1565<br>.|1315<br>.|1209|.1102|.0995|.0888|.0779|
|<br>DEP. RATIO<br>92.4|<br>89.3|<br> <br> <br> <br>89.9<br>88.5|<br> <br>85.9|<br>81.7|<br> <br>7T.6|<br> <br>73.0|<br> <br>67.8|<br>61.9|
103 ProJection (000.) with NRRul by 2040

# DJIBOJTI

# Summary for 25 Year Periods

|...<br>..<br>..............................<br>AGEGROUP<br>1985|2000|...............................................<br>2025|................<br>2050|2075|2100|2125|_.....<br>2150|
|---|---|---|---|---|---|---|---|
|..............<br>.................|.|..<br>. .....<br>....|.........<br>|.................|___**_..**<br>.<br>................|.........||
|TOTAL M.F<br>350|580|1084|1527|1848|1976|2016|2031|
|MALES||||||||
|0-4<br>32|50|70|66|65|65|65|65|
|5-9<br>26|43|67|63|64|65|65|65|
|10-14<br>22|36|63|62|64|65|65|65|
|15-19<br>18|29|58|65|65|65|65|65|
|20-24<br>15|25|52|66|65|64|64|65|
|25-29<br>13|22|46|66|64|64|64|64|
|30-34<br>12|19|40|63|62|63|64|64|
|35-39<br>10|17|33|59|60|63|64|64|
|40-44<br>8|14|27|54|63|63|64|64|
|45-49<br>6|12|23|48|63|63|63|63|
|SO-54<br>5|10|19|41|62|61|61|62|
|55-59<br>4|7|16|34|57|57|59|60|
|60-64<br>3|5|13|26|50|53|56|57|
|65-69<br>2|3|9|19|41|49|51|52|
|70-74<br>1|2|7|13|30|42|44|44|
|75+<br>1|2|6|14|33|59|66|68|
|TOTAL<br>176|296|546|758|907|962|980|988|
|FEMALES||||||||
|0-4<br>33|50|69|64|63|63|64|64|
|5-9<br>26|43|66|62|63|63|64|64|
|10-14<br>21|36|62|61|63|64|64|64|
|15-19<br>17|30|57|64|64|64|64|64|
|20-24<br>14|25|52|66|64|64|63|63|
|25-29<br>13|21|46|66|64|63|63|63|
|30-34<br>11|17|40|64|62|63|63|63|
|35-39<br>9|14|33|60|61|63|64|64|
|40-44<br>7|12|28|54|63|64|64|63|
|45-49<br>6|10|23|48|64|64|63|63|
|50-54<br>5|8|18|42|63|63|62|63|
|55-59<br>4|6|14|36|60|60|61|62|
|60-64<br>3|5|11|28|54|57|60|61|
|65-69<br>2|4|9|22|47|57|-|59|
|70-74<br>1|2|6|16|37|52|54|54|
|75.<br>1|2|6|17|48|91|105|<br>110|
|TOTAL<br>174|284|<br>538|769|941|1014|<br>1036|<br>1044|
|BIRTH RATE|44.5|33.8|20.7|15.4|13.5|13.0|12.8|
|DEATH RATE|15.5|10.0|7.2|7.8.|10.9|12.2|12.5|
|NETMIGRATIONRATE|4.3|.7|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|3.37|2.50|1.37|.76|.27|.08|.03|
|TOTAL F'RTILITY|6.395|4.400|2.421|2.072|2.053|2.041|2.039|
|e(O)- BOTH SEXES|5O.GW|58.73|67.26|73.87|76.35|78.10|78.55|
|IMR- BOTH SEXES|108.1|69.2|38.7|17.2|11.3|7.5|6.9|
104

|MADAGASCAR|||Proje|ction(000|s)<br>withNRR|a1 by 2035|||||
|---|---|---|---|---|---|---|---|---|---|---|
|AGE GROUP<br>1985||1990|1995|<br>2000|<br>2005|<br>2010|<br>2015|2020|<br>2025|<br>2030|
|_.......<br>............<br>...<br>.|..|._.....................||......<br>..........|....<br>......|.......<br>.......|.....<br>........|..................||........|
|TOTAL M+F<br>10212||11983|<br>13890|<br>16023|<br>18398|<br>20947|<br>23567|<br>26127|<br>28608|<br>30940|
|MALES|||||||||||
|0-4<br>985||1117|1203|<br>1334|<br>1476|<br>1586|<br>1647|1644|<br>1636|<br>1599|
|5-9<br>766||949|1081|<br>1171|<br>1306|<br>1447|<br>1559|1621|<br>1622|<br>1617|
|10-14<br>631||758|<br>940|1072|<br>1162|<br>1297|<br>1439|1550|<br>1613|<br>1615|
|15-19<br>544||624|<br>750|<br>930|<br>1062|<br>1152|<br>1286|<br>1428|<br>1539|<br>1603|
|20-24<br>439||534|<br>612|<br>736|<br>914|<br>1045|<br>1135|<br>1269|<br>1411|<br>1523|
|25-29<br>375||429|<br>522|<br>599|<br>721|<br>897|<br>1027|<br>1117|<br>1251|<br>1392|
|30-34<br>292||366|<br>419|<br>510|<br>586|<br>706|<br>880|<br>1009|<br>1100|<br>1234|
|35-39<br>212||284|<br>356|407|497|<br>572|<br>691|<br>862|<br>991|<br>1082|
|40-44<br>157||204|<br>274|<br>344|<br>394|<br>481|<br>556|<br>673|<br>842|<br>970|
|45-49<br>160||149|<br>195|<br>261|<br>328|<br>378|<br>463|<br>536|<br>651|<br>817|
|50-54<br>140||149|<br>140|<br>182|<br>245|<br>309|<br>357|<br>439|<br>511|<br>622|
|55-59<br>121||127|<br>136|<br>127|<br>167|<br>225|<br>285|<br>331|<br>409|<br>477|
|60-64<br>102||105|<br>111|<br>119|<br>112|<br>147|<br>199|<br>254|<br>296|<br>368|
|65-69<br>77||83|<br>86|<br>91|<br>97|<br>92|<br>122|<br>167|<br>215|<br>253|
|70-74<br>50||56|61|63|67|73|<br>70|<br>93|<br>129|<br>168|
|75+<br>43||47|<br>53|<br>59|<br>63|<br>68|<br>75|<br>77|<br>95|<br>129|
|TOTAL<br>5096||5982|6937|8005|<br>9196|<br>10476|<br>11790|<br>13072|<br>14311|<br>15469|
|FEMALES|||||||||||
|0-4<br>958||1091|1173|<br>1296|<br>1430|<br>1536|<br>1594|1591|<br>1582|<br>1546|
|5-9<br>759||925|<br>1058|<br>1144|<br>1272|<br>1406|<br>1513|1574|<br>1573|<br>1567|
|10-14<br>624||751|916|1050|<br>1137|<br>1264|<br>1399|1506|<br>1567|<br>1568|
|15-19<br>524||617|<br>744|<br>908|<br>1042|<br>1129|<br>1256|<br>1391|<br>1499|<br>1561|
|20-24<br>414||515|<br>608|<br>734|<br>897|<br>1031|<br>1118|<br>1245|<br>1380|<br>1489|
|25-29<br>391||405|<br>505|<br>597|<br>722|<br>885|<br>1018|<br>1105|<br>1233|<br>1368|
|30-34<br>307||381|<br>396|<br>495|<br>587|<br>711|<br>872|<br>1004|<br>1092|<br>1221|
|35-39<br>243||298|<br>372|<br>387|<br>485|<br>575|<br>698|<br>858|<br>991|<br>1079|
|40-44<br>180||235|<br>290|<br>362|<br>378|<br>474|<br>564|<br>685|<br>844|<br>976|
|45-49<br>179||173|<br>227|<br>280|<br>351|<br>367|<br>462|<br>550|<br>671|<br>828|
|50-54<br>149||170|<br>165|<br>217|<br>269|<br>338|<br>354|<br>447|<br>534|<br>653|
|55-59<br>127||139|<br>159|<br>155|<br>205|<br>254|<br>321|<br>338|<br>427|<br>512|
|60-64<br>98||114|<br>125|<br>145|<br>142|<br>188|<br>235|<br>297|<br>315|<br>401|
|65-69<br>72||82|,<br>97|<br>107|<br>125|<br>123|<br>165|<br>207|<br>265|<br>283|
|70-74<br>4S||55|<br>63|<br>75|<br>84|<br>99|<br>99|134|171|<br>221|
|75+<br>41||48|55|65|<br>78|91|110|120|153|<br>199|
|TOTAL<br>5116||6001|<br>6954|<br>8018|<br>9202|<br>10471|<br>11776|<br>13054|<br>14298|<br>15471|
|BIRTH RATE||46.0|41.8|39.4|37.2|34.7|31.6|28.0|25.1|22.3|
|DEATH RATE||14.0|12.3|10.8|9.5|8.7|8.0|7.4|6.9|6.7|
|RATE OF NAT. INC.||3.20|2.95|2.86|2.76|2.59|2.36|2.06|1.82|1.57|
|NET MIGRATION<br>RATE||.0|.0|.0|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE||3.20|2.95|2.86|2.76|2.59|2.36|2.06|1.81|1.57|
|TOTAL FERTILITY|6|.409|5.899|5.389|4.879|4.369|3.859|3.349|2.946|2.592|
|NRR|2|.475|2.333|2.193|2.043|1.856|1.663|1.464|1.306|1.165|
|e(O)<br>- BOTH SEXES|5|3.52|55.22|57.04|58.93|60.24|61.59|62.98|64.42|65.91|
|e(10)-<br>BOTHSEXES|5|4.20|54.94|55.58|56.19|56.99|57.82|58.68|59.57|60.49|
|IMR- BOTH SEXES|1|20.0|108.9|96.0|82.4|75.8|69.1|62.4|55.7|49.0|
|q(5)-BOTH SEXES||1580|1421|1236|1042|0957|0872|0786|0701|0614|
|<br>DEP. RATIO<br>98.1|.<br>|<br>99.1|.<br> <br>95.5|.<br> <br>88.6|.<br> <br>82.1|.<br> <br>76.6|.<br> <br>71.1|.<br> <br>64.9|.<br> <br>59.1|.<br> <br>53.3|
105 MADAGASCAR Projection (0009) with NRR-i by 2035

# Surnury for 25 Year Periods

|AGE GROUP<br>1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|............<br>...............................................................|...................................|||||||
|TOTALM+F<br>10212|<br>16023|<br>28608|<br>39140|<br>45843|<br>47996|<br>4877|49085|
|MALES||||||||
|0-4<br>985|1334|<br>1636|<br>1601|<br>1583|<br>1581|<br>1582|<br>1583|
|5-9<br>766|1171|<br>1622|<br>1586|<br>1570|<br>1575|<br>1580|<br>1582|
|10-14<br>631|1072|<br>1613|<br>1540|<br>1559|<br>1573|<br>1579|<br>1581|
|15-19<br>544|<br>930|<br>1539|<br>1513|<br>1558|<br>1574|<br>1578|<br>1578|
|20-24<br>439|<br>736|<br>1411|<br>1562|<br>1567|<br>1574|<br>1574|<br>1574|
|25-29<br>375|<br>599|<br>1251|<br>1581|<br>1576|<br>1566|<br>1567|<br>1570|
|30-34<br>292|<br>510|<br>1100|<br>1568|<br>1559|<br>1550|<br>1560|<br>1566|
|35-39<br>212|<br>407|<br>991|<br>1546|<br>1507|<br>1534|<br>1554|<br>1562|
|40-44<br><7|344|<br>842|<br>1457|<br>1471|<br>1527|<br>1550|<br>1556|
|45-49<br>161|1<br>261|<br>651|<br>1315|<br>1504|<br>1524|<br>1538|<br>1541|
|50-54<br>140|<br>182|<br>511|<br>1136|<br>1493|<br>1508|<br>1509|<br>1513|
|55-59<br>121|<br>127|<br>409|<br>953|<br>1427|<br>1444|<br>1451|<br>1464|
|60-64<br>102|<br>119|<br>296|<br>794|<br>1319|<br>1319|<br>1362|<br>1386|
|65-69<br>77|<br>91|<br>215|<br>596|<br>1118|<br>1170|<br>1239|<br>'.oS|
|70-74<br>50|63|129|<br>378|848|1019|<br>1061|<br>1031|
|75+<br>43|59|95|348|957|1514|<br>1639|<br>16117|
|TOTAL<br>5096|8005|<br>14311|<br>19472|<br>22615|<br>23552|<br>23925|<br>24W88|
|FEMALES||||||||
|0-4<br>958|<br>1296|<br>1582|<br>1546|<br>1525|<br>1518|<br>1518|<br>1518|
|5-9<br>759|<br>1144|<br>1573|<br>1535|<br>1515|<br>1515|<br>1517|<br>1518|
|10-14<br>624|<br>1050|<br>1567|<br>1493|<br>1507|<br>1516|<br>1518|<br>1518|
|15-19<br>524|<br>908|<br>1499|<br>1470|<br>1510|<br>1520|<br>1520|<br>1518|
|20-24<br>414|<br>734|<br>1380|<br>1524|<br>1524|<br>1524|<br>1519|<br>1517|
|25-29<br>391|<br>597|<br>1233|<br>1549|<br>1539|<br>1521|<br>1516|<br>1516|
|30-34<br>307|<br>495|<br>1092|<br>1543|<br>1527|<br>1511|<br>1513|<br>1516|
|35-,9?<br>243|<br>387|<br>991|<br>1528|<br>1483|<br>1501|<br>1513|<br>1516|
|40-44<br>180|<br>362|<br>844|<br>1449|<br>1455|<br>1502|<br>1515|<br>1516|
|45-49<br>179|<br>280|<br>671|<br>1320|<br>1499|<br>1510|<br>1514|<br>1511|
|50-54<br>149|<br>217|<br>534|<br>1161|<br>1507|<br>1513|<br>1503|<br>1501|
|55-59<br>127|<br>155|<br>427|<br>1002|<br>1475|<br>1482|<br>1476|<br>1483|
|60-64<br>98|<br>145|<br>315|<br>872|<br>1416|<br>1405|<br>1440|<br>1457|
|65-69<br>72|<br>107|<br>265|<br>689|<br>1269|<br>1319|<br>1387|<br>1408|
|70-74<br>49|<br>75|<br>171|<br>478|<br>104.|<br>1246|<br>1291|<br>1307|
|75+<br>41|<br>65|<br>153|<br>509|<br>1435|<br>2342|<br>2587|<br>2676|
|TOTAL<br>5116|<br>8018|<br>14298|<br>19668|<br>23228|<br>24V'-|<br>24852|<br>24997|
|BIRTH<br>RATE|42.1|30.6|19.0|14.6|13.3|12.9|12.8|
|DEATH<br>RATE|12.2|7.9|6.6|8.4.|11.5|12.3|12.5|
|NET MIGRATION<br>RATE|.0|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|3.00|2.32|1.75|.63|.18|.06|.03|
|TOTAL<br>FERTILITY|5.838|3.738|Z.246|2.078|2.067|2.060|2.059|
|eCO)<br>- BOTH SEXES|55.44|61.95|S9.32|75.00|76.95|78.31|78.65|
|IMR- BOTH SEXES|107.7|68.9|35.7|14.0|9.9|7.3|6.8|
106 RUAPSA Projection **tOWs)** wIth NRRR1 by 2055

|AGE GRt.P<br>1985|<br>1990|<br>1995|<br>2000|2005|2010|<br>2015|<br>2020|<br>2025|<br>2030|
|---|---|---|---|---|---|---|---|---|---|
|TOTALN+F<br>6026|7147|8661|10331|12226|14401|<br>16928|<br>19804|<br>22958|<br>26298|
|MALES||||||||||
|0-4<br>604|<br>730|<br>950|<br>1056|1187|1347|<br>1545|<br>1745|<br>1910|<br>2029|
|5-9<br>451|<br>553|<br>675|<br>889|1000|1130|<br>1289|<br>1486|<br>1687|<br>1855|
|10-14<br>351|438|538|660|872|982|<br>1112|<br>1270|<br>1467|<br>1668|
|15-19<br>307|<br>343|<br>429|<br>527|647|856|<br>966|<br>1096|<br>1253|<br>1450|
|20-24<br>301|<br>298|<br>333|<br>417|513|631|<br>837|<br>946|<br>1075|<br>1233|
|25-29<br>244|<br>291|<br>288|<br>322|402|497|<br>613|<br>815|<br>924|<br>1053|
|30-34<br>166|<br>235|<br>280|<br>27?|310|389|<br>482|<br>596|<br>795|<br>904|
|35-39<br>103|<br>159|<br>226|<br>269|266|299|<br>376|<br>467|<br>580|<br>776|
|40-44<br>86|<br>98|<br>152|<br>215|256|255|<br>287|<br>363|<br>452|<br>563|
|45-49<br>81|<br>81|<br>93|<br>144|203|243|<br>243|<br>275|<br>348|<br>435|
|50-54<br>70|<br>76|<br>76|<br>86|134|190|<br>228|<br>229|<br>260|<br>331|
|55-59<br>59|<br>64|<br>69|<br>69|79|122|<br>175|<br>210|<br>212|<br>241|
|60-64<br>47|<br>52|<br>**56**|61|61|69|<br>108|<br>156|<br>188|<br>190|
|65-69<br>**38**|39|43|47|50|51|<br>58|<br>92|<br>132|<br>161|
|70-74<br>24|<br>29|<br>30|<br>33|35|38|<br>39|<br>45|<br>71|<br>103|
|75+<br>19|24|29|32|35|38|41|<br>44|49|70|
|TOTAL<br>2953|3511|4267|5102|6050|7137|<br>8399|<br>9833|11403|<br>13062|
|FEMALES||||||||||
|0-4<br>600|726|943|1045|1172|1330|<br>1525|<br>1722|<br>1884|<br>2001|
|5-9<br>456|<br>552|<br>674|<br>887|995|1122|<br>1279|<br>1474|<br>1672|<br>1838|
|10-14<br>355|<br>443|<br>538|<br>659|870|979|<br>1105|<br>1262|<br>1457|<br>1656|
|15-19<br>308|<br>347|<br>434|<br>528|648|857|<br>965|<br>1092|<br>1248|<br>1444|
|20-24<br>297|301|339|425|517|636|842|<br>950|1077|<br>1234|
|25-29<br>239|289|293|331|414|505|623|827|935|1062|
|30-34<br>172|<br>232|<br>280|<br>284|321|403|<br>493|<br>6t|811|<br>920|
|35-39<br>120|166|224|271|274|311|392|<br>4&8|<br>596|795|
|40-44<br>113|115|160|215|260|265|301|38C.|<br>468|582|
|45-49<br>103|108|110|153|206|250|255|<br>291|369|455|
|03-54<br>84|<br>98|<br>102|<br>104|145|196|<br>238|<br>244|<br>280|<br>356|
|55-59<br>74|<br>78|<br>91|95|97|135|<br>184|<br>225|<br>231|<br>266|
|60-64<br>58|67|<br>-<br>71|<br>82|86|89|<br>124|<br>169|<br>208|<br>215|
|65-69<br>47|<br>50|<br>**58**|61|71|75|<br>77|<br>109|<br>149|<br>185|
|70-74<br>26|<br>37|<br>39|45|48|56|60|<br>63|<br>89|<br>124|
|75.<br>20|<br>27|<br>38|44|51|57|<br>66|<br>74|<br>80|<br>104|
|TOTAL<br>3073|3636|4394|<br>5229|6176|7264|<br>8529|<br>9971|<br>11555|<br>13236|
|BIRTH RATE|52.4|55.9|50.6|46.9|44.7|43.2|41.2|38.4|35.1|
|OEATH<br>RATE|18.0|17.3|15.3|13.3|12.0|10.9|9.9|8.9|7.9|
|RATE OF MAT. INC.|3.44|3.86|3.53|3.37|3.27|3.23|3.14|2.95|2.72|
|NETMIGRATION<br>RATE|-. 3|-. 2|-. 1|-. 0|.0|.0|.0|.0|.0|
|GRONTH<br>RATE|3.41|3.84|3.53|3.37|3.27|3.23|3.14|2.96|2.72|
|TOTAL FERTILITY|8.000|8.000|7.490<br>6|.980<br>6|.470|5960|5450|4940|4430|
|NRR|2.743|<br>2.867|<br> <br>2.779<br>2|<br> <br>.685<br>2|<br>.545|.<br>2.397|.<br>2.242|.<br>2.078|.<br>1.906|
|etO)**B**OTH SEXES|48.54|49.84|51.39<br>5|3.14<br>5|4.73|56.38|58.09|59.87|61.71|
|eClO)- BOTH SEXES|53.01|53.07|52.99<br>5|3.02<br>5|3.98|54.97|55.98|57.03|58.12|
|IHR- BOTH SEXES<br>|122.0|112.3|100.2|87.0<br>|80.5|74.0|67.6|61.1|54.6|
|q(5)* BOTH SEXES|.2052|.1872|.1643<br>.|1400<br>.|1289|.1178|.1066|.0953|.0840|
|DEP. RATIO<br>98.6|104.3|<br>111.0|<br>112.0|109.4|100.1|<br>93.9|<br>90.1|<br>86.5|<br>81.3|
107 RWANDA Projection **(000s) wIth NRRuI** by _2055_

# SUuury for 25 Year Periods

|.**................**...................................<br>AGE GR0P<br>1985|2000|.....................................<br>2025|.................................<br> <br>2050|<br>2075|2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|..........................................................................|...............................|||||||
|TOTAL<br>**N+F**<br>6026|10331|<br>22958|<br>39762|<br>53364|<br>61031|<br>63076|<br>63736|
|MALES||||||||
|0-4<br>604|1056|<br>1910|<br>2064|<br>2059|2049|<br>2042|<br>2041|
|5-9<br>451|889|1687|<br>2095|<br>2064|<br>2037|<br>2035|<br>2038|
|10-14<br>351|660|1467|<br>2082|<br>2032|2018|<br>2029|<br>2036|
|15-19<br>307|527|1253|<br>2039|<br>1954|<br>2004|<br>2029|<br>2035|
|20-24<br>301|417|1075|<br>1935|<br>1935|<br>2011|<br>2031|<br>2032|
|25-29<br>244|322|924|1786|<br>2020|<br>2031|<br>2030|<br>2026|
|30-34<br>166|277|795|1594|<br>2048|<br>2033|<br>2016|<br>2016|
|35.39<br>103|269|580|1373|<br>2024|<br>1994|<br>1992|<br>2006|
|40-44<br>86|215|452|1155|<br>1967|<br>1908|<br>1971|<br>1998|
|45-49<br>81|144|348|973|1844|<br>1872|<br>1963|<br>1987|
|50-54<br>70|86|260|813|1664|<br>1920|<br>1952|<br>1958|
|55-59<br>59|69|212|666|1426|<br>1882|<br>1897|<br>1889|
|60-64<br>47|61|188|<br>449|1145|<br>1751|<br>1763|<br>1772|
|65-69<br>38|47|132|<br>309|<br>860|1539|<br>1537|<br>1603|
|70-74<br>24|33|71|195|<br>602|1223|<br>1292|<br>1373|
|75+<br>19|32|49|176|<br>612|1479|<br>2057|<br>2156|
|TOTAL<br>2953|5102|<br>11403|<br>19703|<br>26256|<br>29752|<br>30637|<br>30966|
|FEMALES||||||||
|0-4<br>600|1045|<br>1884|<br>2034|<br>2024|<br>2007|<br>1998|<br>1996|
|5-9<br>456|887|1672|<br>2073|<br>2036|<br>2001|<br>1994|<br>1994|
|10-14<br>355|659|1457|<br>2064|<br>2008|<br>1985|<br>1990|<br>1995|
|15-19<br>30J|528|1248|<br>2027|<br>1937|<br>1976|<br>1993|<br>1997|
|20-24<br>297|425|1077|<br>1932|<br>1926|<br>1989|<br>2000|<br>1998|
|25-29<br>239|331|935|1792|<br>2018|<br>2017|<br>2005|<br>1996|
|30-34<br>172|284|811|1609|<br>2055|<br>2027|<br>1998|<br>1991|
|35-39<br>120|2?1|596|1393|<br>2040|<br>1997|<br>1980|<br>1987|
|40-44<br>113|-215|468|1180|<br>1993|<br>1921|<br>1969|<br>1987|
|45-49<br>103|153|<br>369|1004|<br>1885|<br>1901|<br>1975|<br>1989|
|50-54<br>84|104|<br>280|854|1726|<br>1974|<br>1990|<br>1983|
|55-59<br>74|95|231|<br>720|<br>1515|<br>1980|<br>1978|<br>1956|
|60-64<br>58|82|208|<br>504|<br>1264|<br>1914|<br>1908|<br>1903|
|65-69<br>47|61|149|<br>365|<br>1004|<br>1780|<br>1763|<br>1823|
|70-74<br>26|45|89|249|<br>759|1532|<br>1609|<br>1697|
|75+<br>20|44|80|258|<br>918|2278|<br>3289|<br>3478|
|TOTAL<br>3073|5229|<br>11555|<br>20059|<br>27108|<br>31279|<br>32439|<br>32770|
|BIRTH RATE|52.9|47.2|27.8|17.5|14.1|13.0|12.8|
|DEATH<br>RATE|16.7|1G.6|6.4|5.9.|8.8|11.7|12.4|
|NET MIGRATION<br>RATE|-.2|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|3.59|3.19|2.20|1.18|.54|.13|.04|
|TOTAL FERTILITY|7.767|5.766|3.319|2.099|2.055|2.041|2.040|
|eCO)**-** BOTH SEXES|50.10|56.97|66.12|73.17|75.96|77.94|78.46|
|**IHR**<br>**-** BOTH SEXES|111.3|72.6|41.7|19.4|12.3|7.8|7.1|
108

|SEYCHELLES<br>..............................................................||Proj|ection (000|s) with HRR<br>..........|-I by 2005<br>............**...**..............................|..................**...**............**..**<br>..|..<br>..<br>..<br>..|...<br>..<br>..|..<br>..<br>..<br>..|
|---|---|---|---|---|---|---|---|---|---|
|AGE GROUIP<br>1985|<br>1990|<br>1995|<br>2000|<br>2005|<br>2010|<br>2015|2020|<br>2025|<br>2030|
|.....................................................................................|.............................................|||||||||
|TOTAL M+F<br>66|<br>69|<br>73|<br>77|<br>81|<br>85|<br>89|<br>94|<br>99|<br>103|
|MALES||||||||||
|0-4<br>4|<br>4|<br>4|<br>4|<br>4|<br>4|<br>4|<br>4|<br>4|<br>4|
|5-9<br>4|<br>4|<br>4|<br>4|<br>4|<br>4|<br>4|<br>4|<br>4|<br>4|
|10-14<br>4|<br>4|<br>4|<br>4|<br>4|<br>4|<br>4|<br>4|<br>4|<br>4|
|15-19<br>4|4|4|4|4|<br>4|<br>4|4|4|4|
|20-24<br>4|<br>4|<br>4|<br>4|<br>4|<br>4|<br>4|<br>4|<br>4|<br>4|
|25-29<br>3|4|3|3|4|<br>4|<br>4|4|4|<br>4|
|30-34<br>2|3|3|3|3|<br>3|<br>4|4|4|4|
|35-39<br>1|<br>2|<br>3|<br>3|<br>3|<br>3|<br>3|<br>4|<br>4|<br>4|
|40-44<br>1|<br>1|<br>2|<br>3|<br>3|<br>3|<br>3|<br>3|<br>4|<br>4|
|45-49<br>1|<br>1|<br>1|<br>1|<br>2|<br>3|<br>3|<br>3|<br>3|<br>4|
|50-54<br>1|<br>1|<br>1|<br>1|<br>1|<br>2|<br>3|<br>3|<br>3|<br>3|
|55-59<br>1|1|1|1|<br>1|<br>1|<br>2|3|3|3|
|60-64<br>1|1|1|1|<br>1|<br>1|<br>1|2|3|3|
|65-69<br>1|<br>1|<br>1|<br>1|<br>1|<br>1|<br>1|<br>1|<br>2|<br>2|
|70-74<br>1|0|<br>1|<br>1|<br>1|<br>1|<br>1|<br>1|<br>1|<br>1|
|75+<br>1|<br>1|<br>1|<br>1|<br>1|<br>1|<br>1|<br>1|<br>1|<br>1|
|TOTAL<br>33|<br>35|<br>37|<br>39|<br>40|<br>42|<br>45|<br>47|<br>50|<br>52|
|FEHALES||||||||||
|0-4<br>4|4|4|4|4|<br>4|4|4|4|4|
|5-9<br>4|4|4|4|4|<br>4|3|4|4|4|
|10-14<br>4|4|4|4|4|<br>4|4|3|4|4|
|15-19<br>4|4|4|4|4|<br>4|4|4|3|4|
|20-24<br>4|4|3|4|4|<br>4|4|4|3|3|
|25-29<br>2|3|4|3|3|<br>4|4|4|4|3|
|30-34<br>2|2|3|3|3|<br>3|4|4|4|4|
|35-39<br>1|1|2|3|3|<br>3|3|4|4|4|
|40-44<br>1|1|1|2|3|<br>3|3|3|3|4|
|45-49<br>1|1|1|1|<br>2|<br>3|-|3|3|3|
|50-54<br>1|1|1|1|<br>1|<br>2|3|3|3|3|
|55-59<br>1|<br>1|<br>1|<br>1|<br>1|<br>1|<br>2|<br>3|<br>3|<br>3|
|60-64<br>1|1|1|1|1|<br>1|<br>1|2|3|3|
|65-69<br>1|1|1|1|1|<br>1|<br>1|1|2|3|
|70-74<br>1|1|1|1|1|<br>1|<br>1|1|1|<br>2|
|75+<br>1|1|1|1|1|<br>1|<br>1|1|1|<br>2|
|TOTAL<br>33|<br>35|<br>37|<br>38|<br>40|<br>42|<br>45|<br>47|<br>50|<br>52|
|BIRTH RATE|26.5|24.7|21.8|18.9|17.7|17.5|17.0|16.0|15.0|
|DEATH RATE|7.3|6.8|6.3|6.1|6.0|6.0|6.1|6.3|6.7|
|RATE OFNAT. INC.|1.92|1.?9|1.55|1.29|1.17|1.15|1.09|.98|.83|
|NET MIGRATION<br>RATE|-8.9|-7.3|-5.3|-3.6|-1.9|-. 5|.0|.0|.0|
|GROWTH<br>RATE|1.03|1.06|1.02|.93|.98|1.10|1.09|.98|.83|
|TOTAL FERTILITY|3.209|2.828|2.491|2.195|2.087|2.084|2.081|2.078|2.075|
|NRR|1.514|1.341|1.188|1.050|1.000|1.000|1.000|1.000|1.000|
|e(O)- BOTH SEXES|69.83|70.95|71.94|72.84|73.30|73.77|74.25|74.74|75.24|
|e(10)- BOTH SEXES|61.45|62.47|63.29|64.01|64.43|64.86|65.29|65.74|66.19|
|IMR- BOTH SEXES|18.4|17.1|15.1|13.1|12.6|12.1|11.6|11.0|10.5|
|q(5)- BOTH SEXES|.0213|.0197|0172|.0148|.0142|.0136|.0130|0124|0118|
|<br>DEP. RATIO<br>75.5|<br> <br>71.4|<br> <br>66.6|,<br> <br>61.2|<br> <br>54.1|<br> <br>47.3|<br> <br>43.3|<br> <br>42.2|.<br> <br>44.2|.<br> <br>47.6|
109 Projection **(000s)** with **MRR=I** by 2005

# SEYCHELLES

**Sumwery** for 25 Year Periods

|................<br>....................<br>AGE GR<br>**WJP**<br>1985|.................................................<br>2000|...................<br>2025|2050|2075|2100|2125|<br>2150|
|---|---|---|---|---|---|---|---|
|**TOTAL**<br>**M+F**<br>66|77|99|114|118|119|119|<br>119|
|MALES||||||||
|0-4<br>4|4|4|4|4|4|4|4|
|5-9<br>4|4|4|4|4|4|4|4|
|10-14<br>4|4|4|4|4|4|4|4|
|15-19<br>4|4|4|4|4|4|4|4|
|20-24<br>4|4|4|4|4|4|4|<br>4|
|25-29<br>3|3|4|4|4|4|4|<br>4|
|30-34<br>2|3|4|4|4|4|4|4|
|35-39<br>1|3|4|4|4|4|4|4|
|40-44<br>1|3|4|4|4|4|4|4|
|45-49<br>1|1|3|4|4|4|4|4|
|50-54<br>1|1|3|4|4|4|4|4|
|55-59<br>1|1|3|4|4|4|4|4|
|60-64<br>1|1|3|3|3|<br>3|<br>3|<br>3|
|65-69<br>1|1|2|3|3|3|3|3|
|70-74<br>1|1|1|2|2|3|3|3|
|75g<br>1|1|1|3|4|4|4|4|
|TOTAL<br>33|39|50|<br>56|58|58|58|59|
|FEMALES||||||||
|0-4<br>4|4|4|4|4|4|4|4|
|5-9<br>4|4|4|4|4|4|4|4|
|10-14<br>4|4|4|4|4|4|4|4|
|15-19<br>4|4|3|4|4|4|4|4|
|20-24<br>4|4|3|4|4|4|4|<br>4|
|25-29<br>2|3|4|4|4|4|4|4|
|30-34<br>2|3|4|4|4|4|4|4|
|35-39<br>1|3|4|4|4|4|4|4|
|40-44<br>1|2|3|3|4|4|4|4|
|45-49<br>4|1|3|3|4|4|4|4|
|50-54|1|3|4|4|4|4|4|
|55-59<br>1|1|3|4|4|4|4|4|
|60-64<br>1|1|3|4|3|3|4|4|
|65-69<br>1|1|2|3|3|3|3|3|
|70-74<br>1|1|1|3|3|3|3|3|
|75+<br>1|1|<br>1|4|6|6|7|7|
|TOTAL<br>33|38|50|58|60|60|61|61|
|BIRTH<br>RATE|24.3|17.4|14.0|13.0|12.8|12.7|12.7|
|OEATH<br>RATE|6.8|6.1|8.6|11.7|12.4|12.6|12.6|
|NET MIGRAfION<br>RATE|-7.1|-1.1|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|1.04|1.01|.55|_.13_|.03|.02|.01|
|TOTAL FERTIL1-3|2.827|2.104|2.070|2.061|2.059|2.059|2.058|
|**e(O)**<br>**-** BOTH SEXES|70.94|73.83|7413¶|78.08|78.57|78.90|78.98|
|IMR**-** BOTH SEXES|16.9|12.1|9.5|7.6|6.9|6.5|6.4|
110

|ZAIRE<br>......................................................................................|.............................................|Proj|ection (009s|) with WRR|ul b|y 2045|||||
|---|---|---|---|---|---|---|---|---|---|---|
|AGE GROUP<br>1985|1990|1995|<br>2000|<br>2005||2010|2015|<br>2020|<br>2025|<br>2030|
|TOTAL N+F<br>30712|<br>35775|41523|<br>48409|<br>56641||65499|74936|<br>84869|<br>95125|<br>105307|
|MALES|||||||||||
|0-4<br>2802|3276|3689|4332|<br>5092||5503|5886|<br>6229|<br>6487|<br>6547|
|5-9<br>2269|2629|3105|3534|<br>4190||4941|5356|<br>5745|<br>6098|<br>6371|
|10-14<br>1900|2219|2579|3055|<br>3488||4139|4887|5303|<br>5696|<br>6053|
|15-19<br>1580|1865|2181|2540|<br>3013||3444|4092|<br>4836|<br>5254|<br>5649|
|20-24<br>1325|1541|1822|<br>2134|<br>2487||2956|3384|4028|<br>4768|<br>5189|
|25.29<br>1108|1286|1498|1773|<br>2079||2429|2893|3318|<br>3958|<br>4695|
|30-34<br>923|1074|1248|1455|<br>1725||2028|2374|2834|<br>3258|<br>3894|
|35-39<br>766|891|1039|1209|<br>1412||1678|1977|<br>2320|<br>2776|<br>3199|
|40-44<br>630|735|857|1001|<br>1167||1367|1629|<br>1924|<br>2263|<br>2715|
|45-49<br>511|599|701|819|<br>959||1121|1317|<br>1573|<br>1863|<br>2198|
|50-54<br>410|479|563|661|<br>774||909|1066|<br>1256|<br>1505|<br>1788|
|55-59<br>320|376|442|521|<br>613||720|848|997|1179|<br>1417|
|60-64<br>241|285|336|396|<br>468||553|652|770|909|1078|
|65-69<br>170|202|241|286|<br>338||402|476|563|668|791|
|70-74<br>110|131|157|188|<br>225||267|319|379|451|537|
|75+<br>90|112|137|168|<br>204||248|298|359|433|521|
|TOTAL<br>15156|17699|20595|<br>24072|<br>28236||32703|37451|42435|47566|<br>52643|
|FEMALES|||||||||||
|0-4<br>2765|3242|3644|4269|<br>5009||5411|5786|6121|6374|<br>6431|
|5-9<br>2252|2608|3089|3507|<br>4147||4A79|5286|5668|<br>1014|6279|
|10-14<br>1893|2205|2561|3043|<br>3465||4102|4831|5241|5S26|<br>5975|
|15-19<br>1551|1860|2170|2524|<br>3003||3424|4058|4786|. 97|5586|
|20-24<br>1295|1520|1825|2129|<br>2478||2954|3373|4005|431U|<br>5147|
|25-29<br>1109|1265|1485|1783|<br>2081||2427|2899|3318|3;48|4673|
|30-34<br>947|1079|1232|1446|<br>1737||2032|2376|2844|3263|<br>3891|
|35-39<br>805<br> <br>|918<br>|1046<br>|1195|<br>1403<br>|<br>|1689|1982|2324|<br>2790|<br>3209|
|40-44<br>679|776|886|1010|<br>1153||1359|1641|1931|<br>2271|<br>2734|
|45-49<br>570|651|745|851|970||1111|1314|1591|<br>1879|<br>2216|
|50-54<br>472|541|619|709|<br>810||927|1065|1264|<br>1536|<br>1819|
|55-59<br>386|442|507|580|664||762|875|1010|<br>1203|<br>1469|
|60-64<br>305|351|.<br>402|461|528||608|701|810|940|1126|
|65-69<br>228|263|303|348|400||461|535|621|723|845|
|70-74<br>154|181|210|242|277||322|375|440|516|606|
|75+<br>144<br> <br>|173<br>|205|240|280||327|387|460|549|658|
|TOTAL<br>15556|18076|20928|24337|<br>28405||32796|37486|42434|47559|<br>52664|
|BIRTH RATE|44.7|42.5|42.1|41.7||38.5|35.5|32.8|30.2|27.2|
|DEATH RATE|14.2|12.7|11.4|10.2||9.4|8.6|7.9|7.4|6.8|
|RATE OF NAT.INC.|3.05|2.98|3.07|3.14||2.91|2.69|2.49|2.28|2.03|
|NET MIGRATION<br>RATE|.0|.0|.0|.0||.0|.0|.C|.0|.0|
|GRONWT<br>RATE|3.05|2.98|3.07|3.14||2.91|2.69|2.49|2.28|2.03|
|TOTAL FERTILITY|6.090|5.993|5.895|5.797||5.288<br>4|.778|4.268|3.758|3.248|
|NRR|2.296|2.324|2.361|2.394|2|.219<br>2|.038|1.851|1.656|1.455|
|e(O)- BOTH SEXES|52.51|54.57|56.58|58.54|5|9.88<br>6|1.27|62.70|64.18|65.70|
|eClO)- BOTH SEXES|54.00|54.63|55.08|55.51|5|6.39<br>5|7.29|58.22|59.18|60.17|
|IHR - BOTH SEXES<br> <br>|97.9<br>|86.3<br>|73.9<br>|61.9<br>||57.3<br>|52.7|48.1|43.5|38.9|
|q(5)<br>80TH SEXES|.1601|.1388|.1164|.0951|.|0876<br>.|0800|.0724|.0647|.0570|
|<br>DEP. RATIO<br>92.7|93.0|92.2|92.1|<br>91.8||89.9|85.0|77.8|<br>71.4|<br>65.3|
111 Projection **(000s)** with **NRR-1 by** 20455

**ZAIRE**

# **Suinmry** for 25 Year Periods

|AGE GROUP<br>1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTALM4F<br>30712|<br>48409|<br>95125|<br>141719|<br>176743|<br>191138|<br>194417|<br>195664|
|MALES||||||||
|0-4<br>2802|<br>4332|<br>6487|<br>6101|<br>6188|<br>6238|<br>6253|<br>6254|
|5-9<br>2269|<br>3534|<br>6098|<br>6013|<br>6212|<br>6251|<br>6250|<br>6246|
|10-14<br>1900|<br>3055|<br>5696|<br>6280|<br>6283|<br>6257|<br>6240|<br>6237|
|15-19<br>1580|<br>2540|<br>5254|<br>6413|<br>6302|<br>6226|<br>6218|<br>6225|
|20-24<br>1325|<br>2134|<br>4768|<br>6346|<br>6192|<br>6164|<br>6194|<br>6213|
|25-29<br>1108|<br>1m|3958|<br>6201|<br>6009|<br>6121|<br>6186|<br>6205|
|30-34<br>923|1455|<br>3258|<br>5857|<br>5'g4|6137|<br>6192|<br>6194|
|35-39<br>766|1209|<br>2776|<br>5426|<br>6151|<br>6188|<br>6183|<br>6171|
|40-44<br>630|1001|<br>2263|<br>4946|<br>6244|<br>6180|<br>6130|<br>6128|
|45-49<br>511|819|<br>1863|<br>4423|<br>6118|<br>6024|<br>6028|<br>6065|
|50-54<br>410|661|<br>1505|<br>3586|<br>5866|<br>5753|<br>5900|<br>5974|
|55-59<br>320|521|<br>1179|<br>2830|<br>5342|<br>5485|<br>5746|<br>5813|
|60-64<br>241|396|<br>909|2248|<br>46.4|5392|<br>5497|<br>5515|
|65-69<br>170|<br>286|<br>668|1637|<br>3811|<br>4976|<br>5018|<br>5007|
|70-74<br>110|<br>188|<br>451|1122|<br>2869|<br>4157|<br>4203|<br>4240|
|75+<br>90|168|<br>433|1110|<br>2951|<br>5731|<br>6376|<br>6673|
|TOTAL<br>15156|<br>24072|<br>47566|<br>70540|<br>87096|<br>93280|<br>94612|<br>95160|
|FEMALES||||||||
|0-4<br>2765|<br>4269|<br>6374|<br>5988|<br>6064|<br>6103|<br>6114|<br>6112|
|5-9<br>2252|<br>3507|<br>6014|<br>5916|<br>6099|<br>6126|<br>6118|<br>6111|
|10-14<br>1893|<br>3043|<br>5626|<br>6189|<br>6178|6139|<br>6114|<br>6107|
|15-19<br>1551|<br>2524|<br>5197|<br>6333|<br>6209|<br>6119|<br>6100|<br>6103|
|20-24<br>1295|<br>2129|<br>4731|6286|<br>6119|<br>6074|<br>6089|<br>6104|
|25-29<br>1109|<br>1783|<br>394|6164|<br>5957|<br>6049|<br>6097|<br>6109|
|30-34<br>947|1446|<br>3263|5838|<br>5881|<br>6082|<br>6118|<br>6112|
|35-39<br>805|1195|<br>2790|<br>5423|<br>6138|<br>6152|<br>6127|<br>6104|
|40-44<br>679|4010|<br>2271|<br>4960|<br>6257|6170|<br>6099|<br>6084|
|45-49<br>570|851|1879|<br>4459|<br>6172|6055|<br>6036|<br>6057|
|50-54<br>472|709|<br>1536|<br>3657|<br>5984|<br>5849|<br>5976|<br>6034|
|55-59<br>386|580|1203|<br>2944|<br>5561|5695|<br>5944|<br>5995|
|60-64<br>305|461|940|2412|<br>5001|<br>5803|<br>5896|<br>5898|
|65-69<br>228|348|723|1824|<br>4314|5653|<br>5690|<br>5664|
|70-74<br>154|<br>242|<br>516|1321|<br>3481|5102|<br>5166|<br>5206|
|75+<br>144|<br>240|549|1466|<br>4233|8687|<br>10122|<br>10707|
|TOTAL<br>15556|<br>24337|<br>47559|<br>71179|<br>89647|<br>97858|<br>99805|<br>100505|
|BIRTH RATE|43.0|35.0|21.8|15.7|13.5|12.9|12.8|
|DEATH<br>RATE|12.7|8.5|6.1|7.0.|10.4|12.2|12.5|
|NET MIGRATION RATE|.0|.0|.0|.0|.0|**O)**|.0|
|GROWTH<br>RATE|3.03|2.70|1.59|.88|.31|.07|.03|
|TOTAL FERTILITY|5.980|4.616|2.533|2.063|2.049|2.040|2.039|
|eCO)**-** BOTH SEXES|54.76|61.69|69.21|74.92|76.91|78.32|78.67|
|**IR-** BOTH SEXES|85.1|52.2|29.9|14.2|9.9|7.2|6.8|
# WESTERN AFRICA

# DEPARTMENT (AF4)
114

|GHANA<br>......................................<br>.........|...............................................|Projec<br>................................................|tion<br>(DOO<br>......|s)WithNRR-|1 by 2035|||||
|---|---|---|---|---|---|---|---|---|---|
|AGE GROUP<br>1985|1990|1995|2000|2005|2010|2015|2020|2025|2030|
|........................................................................|||||..........................................|................||||
|TOTAL M,F<br>12620|14870|17258|19892|2277|25844|28998|32093|35102|37937|
|MALES||||||||||
|0-4<br>1204|1416|1524|1680|1839|1963|2039|2042|2032|1979|
|5-9<br>964|1138|1350|1466|1630|1790|1916|1995|2003|1999|
|10-14<br>791|945|1117|1329|1448|1612|1771|1898|1979|1989|
|15-19<br>662|777|929|1099|1310|1428|1592|1751|1879|1962|
|20-24<br>538|645|758|906|1074|1282|1401|1564|1724|1854|
|25-29<br>440|522|626|735|879|1045|1250|1370|1534|1695|
|30-34<br>360|426|506|606|.12|<br>854|1018|1221|1342|1506|
|35-39<br>291|348|411|488|585|690|830|992|1194|1315|
|40-44<br>245|279|334|394|<br>469|<br>564|<br>667|<br>805|<br>965|<br>1165|
|45-49<br>204|233|265|317|376|448|541|641|777|934|
|50-54<br>166|191|219|249|298|354|423|513|611|743|
|55-59<br>133|153|176|201|229|275|328|394|480|573|
|60-64<br>101|119|136|157|179|205|247|296|357|436|
|65-69<br>74|'5|100|115|132|152|175|212|255|309|
|70-74<br>48|57|66|77|<br>89|<br>103|<br>119|<br>138|<br>168|<br>203|
|75+<br>41|50|59|70|<br>82|<br>96|113|<br>132|<br>155|<br>188|
|TOTAL<br>6261|7383|8574|9889|<br>11330|<br>12859|<br>14429|<br>15965|<br>17454|<br>18850|
|FEMALES||||||||||
|0-4<br>1187|<br>1399|<br>1503|1654|<br>1807|<br>1929|<br>2004|<br>2007|<br>1997|<br>1945|
|5-9<br>955|1127|<br>1340|1453|<br>1612|<br>1765|<br>1890|<br>1968|<br>1975|<br>1971|
|10-14<br>786|937|1109|1322|<br>1437|<br>1596|<br>1750|<br>1875|<br>1954|<br>1964|
|15-19<br>661|773|923|1093|<br>1305|<br>1420|<br>1579|<br>1734|<br>1860|<br>1941|
|20-24<br>542|_L.8_|758|906|<br>1074|<br>1284|<br>1400|<br>1559|<br>1715|<br>1842|
|25-29<br>451|530|633|741|<br>885|<br>1052|<br>1261|<br>1377|<br>1537|<br>1694|
|30-34<br>371|439|516|616|721|864|1030|1237|1355|1516|
|35-39<br>300|360|426|500|598|702|844|1008|1214|1333|
|40-44<br>258|290|347|411|483|579|<br>682|822|<br>985|<br>1190|
|45-49<br>214|248|278|333|<br>395|<br>466|<br>560|<br>662|<br>800|<br>962|
|50-54<br>178|<br>204|236|265|<br>317|<br>378|<br>447|539|<br>639|<br>776|
|55-59<br>145|<br>167|<br>191|221|<br>248|<br>299|<br>357|424|<br>514|<br>612|
|60-64<br>115|<br>132|<br>152|174|<br>201|<br>228|<br>275|<br>331|<br>395|<br>482|
|65-69<br>85|100|114|132|<br>151|<br>176|<br>2'1|244|<br>296|<br>356|
|70-74<br>58|68|80|91|<br>105|<br>122|<br>144|<br>:65|<br>203|<br>248|
|75+<br>54|66|78|91|<br>106|<br>125|<br>147|<br>176|<br>209|<br>257|
|TOTAL<br>6359|7487|<br>8684|10003|<br>11447|<br>12985|<br>14569|<br>16128|<br>17648|<br>19087|
|BIRTH RATE|46.2|41.9|39.2|36.8|34.2|31.4|28.0|25.2|22.5|
|DEATH RATE|13.3|12.0|10.7|9.6|8.9|8.3|7.7|7.3|6.9|
|RATE OF NAT. INC.|3.28|2.99|2.85|2.71|2.53|2.31|2.03|1.79|1.55|
|NET MIGRATION RATE|-.0|-.1|-.1|-.1|-.0|-. 0|-.0|.0|.0|
|<br>GROWTH RATE|<br>'.28|<br>2.98|<br>2.84|<br>2.71|<br>2.53|<br>2.30|<br>2.03|<br>1.79|1.55|
|TOTAL FERTILITY|6.400|5.890|5.380|4.870|4.360|3.850|3.340|2.936|2.581|
|NRR|2.470|2.326|2.187|2.038|1.853|1.661|1.464|1.306|1.164|
|e(O)- BOTH SEXES|53.99|55.37|56.93|58.64|59.97|61.34|62.76|64.23|65.75|
|e(10)<br>- BOTH SEXES|54.5:|54.56|54.66|54.95|55.07|56.82|57.80|58.82|59.86|
|IMR- BOTH SEXES|89.9|79.7|68.4|57.2|53.1|48.9|44.8|40.7|36.5|
|q(5)<br>-BOTH SEXES|1453|1269|1067|0870|0802|0734|0666|0577|0529|
|<br> <br>DEP. RATIO<br>98.0|.<br>98.7|.<br>95.7|.<br>91.0|.<br>84.6|.<br> <br>79.3|.<br>73.3|.<br>66.8|.<br>60.5|.<br> <br>54.7|
115 GHANA Projection (000,) with **NRR-1** by 2035

# Sumluvry for 25 Year Perlods

|AGE**GROUP**<br>1985|<br>2000|2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|..........................................................................|...............................|||||||
|TOTAL<br>***+F**<br>12620|<br>19892|<br>35102|<br>48021|<br>56530|<br>59345|<br>60325|<br>60713|
|MALES||||||||
|0-4<br>1204|<br>1680|<br>2032|<br>1966|<br>1941|<br>1936|<br>1938|<br>1939|
|5-9<br>964|1466|<br>2003|<br>1946|<br>1924|<br>1929|<br>1935|<br>1937|
|10-14<br>791|1329|<br>1979|<br>1889|<br>1911|<br>1927|<br>1935|<br>1936|
|15-19<br>662|1099|<br>1879|<br>1856|<br>1911|<br>1929|<br>1933|<br>1933|
|20-24<br>538|906|1724|<br>1920|<br>1920|<br>1928|<br>1928|<br>1928|
|25-29<br>440|735|1534|<br>19.4|1935|<br>1919|<br>1920|<br>1923|
|30-34<br>360|606|1342|<br>1920|<br>1913|<br>1901|<br>1911|<br>1918|
|35-39<br>291|488|1194|<br>1877|<br>1''|1IPS|1<br>1904|<br>1913|
|40-44<br>245|394|965|1759|<br>1|1873|<br>1899|<br>1905|
|45-49<br>204|317|77|1589|<br>1850|<br>1867|<br>1885|<br>1888|
|50-54<br>166|<br>249|611|1379|<br>1836|<br>'852|1849|<br>1854|
|S5-59<br>133|201|480|1155|<br>1748|<br>1773|<br>1779|<br>1794|
|60-64<br>101|157|357|956|1603|<br>1619|<br>1671|<br>1698|
|65-69<br>74|115|255|688|1351|<br>1436|<br>1520|<br>1551|
|70-74<br>48|77|168|<br>460|1026|<br>1253|<br>1301|<br>1326|
|7S.<br>41|70|155|<br>436|1160|<br>1855|<br>2013|<br>2070|
|TOTAL<br>6261|9889|17454|<br>23740|<br>27683|<br>28879|<br>29321|<br>29514|
|FEMALES||||||||
|0-4<br>1187|<br>1654|<br>1997|<br>1932|<br>1904|<br>1895|<br>1895|<br>1895|
|5-9<br>955|<br>1453|<br>1975|<br>1917|<br>1892|<br>1892|<br>1895|<br>1895|
|10-14<br>786<br> <br>|1322<br>|<br>1954<br> <br>|<br>1863<br> <br>|<br>1882<br> <br>|<br>1892<br> <br>|<br>1896<br> <br>|<br>1896<br> <br>|
|15-19<br>661|1093|<br>1860|<br>1835|<br>1886|<br>1898|<br>1897|<br>1896|
|20-24<br>542|906|1715|<br>1905|<br>1902|<br>1902|<br>1896|<br>1V!5|
|25-29<br>451|741|1537|<br>1936|<br>1923|<br>1899|<br>1893|<br>1893|
|30-34<br>371|616|1355|<br>1921|<br>1907|<br>1887|<br>1889|<br>1893|
|35-39<br>300|500|1214|<br>1886|<br>1849|<br>1874|<br>1888|<br>1893|
|40-44<br>258|-411|985|1778|<br>1815|<br>1874|<br>1891|<br>1892|
|45-49<br>214|333|<br>800|1619|<br>1872|1883|<br>1891|<br>1886|
|50-54<br>178|265|639|1427|<br>1882|<br>1889|<br>1877|<br>1874|
|55-59<br>145|221|514|1226|<br>1833|<br>1848|<br>1845|<br>1852|
|60-64<br>115|<br>174|395|<br>1054|<br>1744|<br>1750|<br>1797|<br>1818|
|65-69<br>85|132|296|795|<br>1552|<br>1642|<br>1730|<br>1757|
|70-74<br>58|91|203|567|1270|<br>1552|<br>1608|<br>1631|
|754<br>54|91|209|620|1734|<br>2887|<br>3216|<br>3334|
|TOTAL<br>6359|10003|<br>17648|<br>24281|<br>28847|<br>30465|<br>31004|<br>31199|
|BIRTH RATE|42.1|30.5|19.1|14.7|13.3|12.9|12.8|
|DEATH<br>RATE|11.9|8.2|6.7|8.3|11.4|12.2|12.5|
|NET MIGRATION<br>RATE|-. 1|-. 0|.0|.0|.0|.0|.0|
|GROSTH<br>RATE|3.03|2.27|1.25|.65|.19|.07|.03|
|TOTAL FERTILITY|5.834|3.729|2.233|2.060|2.048|2.040|2.039|
|**e(O)**- BOTH SEXES|55.58|61.70|69.19|74.94|76.92|78.31|78.67|
|**IHR**- BOTH SEXES|.88|48.8|28.3|14.2|10.0|7.2|6.8|
116

|GIINEA-BISSAU||Pvoj|ectIon(000s)<br>w|<br>ithNRR-|1 bY2045||||||
|---|---|---|---|---|---|---|---|---|---|---|
|AGEGROUP<br>1985|1990|1995|2000|2005|<br>2010|<br>2015||2020|2025|<br>2030|
|TOTALM+F<br>886|981|1088|1217|1371|<br>1535|<br>1711||1896|2088|<br>2278|
|MALES|||||||||||
|0-4<br>74|<br>88|95|<br>107|122|<br>128|135||142|146|<br>146|
|5S9<br>65|66|79|87|99|114|121||128|135|<br>140|
|10-14<br>56|<br>63|<br>64|<br>77|84|<br>97|112||118|126|<br>133|
|15-19<br>47|<br>54|<br>61|<br>62|75|<br>82|<br>94||109|116|<br>124|
|20-24<br>36|<br>45|<br>52|<br>58|59|<br>72|<br>79||91|106|<br>113|
|<br> <br>25-29<br>26|<br> <br> <br>34|<br> <br> <br>42|<br> <br> <br>49|<br>55|<br> <br>56|<br>68||76|88|<br>102|
|30-34<br>21|<br>24|<br>31|<br>39|46|<br>52|<br>53||65|73|<br>85|
|35-39<br>20|<br>19|<br>22|<br>29|37|<br>43|<br>49||51|62|<br>70|
|40-44<br>19|<br>18|<br>18|<br>21|27|<br>34|<br>40|*|<br>46|48|<br>59|
|45-49<br>16|<br>17|<br>17|<br>16|19|<br>25|<br>31||37|43|<br>45|
|50-54<br>13|<br>14|<br>15|<br>15|14|<br>17|<br>22||29|34|<br>40|
|55.59<br>11|<br>11|<br>12|<br>13|13|<br>12|<br>15||20|25|<br>31|
|60-64<br>9|9|<br>9|<br>t0|11|<br>11|<br>10||12|17|<br>22|
|65-69<br>7|7|<br>7|<br>7|8|<br>8|<br>8||8|10|<br>14|
|70.74<br>4|5|<br>5|<br>5|5|<br>5|<br>6||6|6|<br>7|
|75+<br>4|3|<br>4|<br>4|4|<br>4|<br>4||5|5|<br>6|
|TOTAL<br>429|<br>477|<br>532|<br>598|676|<br>760|<br>849||943|1039|<br>1135|
|FEMALES|||||||||||
|0-4<br>73|<br>87|<br>94|<br>106|121|<br>127|<br>134||140|t'|<br>1144|
|5-9<br>60|<br>65|<br>80|<br>87|99|<br>114|<br>120||128|134|<br>139|
|10-14<br>52|<br>57|<br>63|<br>77|85|<br>97|<br>111||118|125|<br>132|
|15-19<br>45|<br>SO|<br>56|<br>61|75|<br>82|<br>94||109|116|<br>123|
|20-24<br>39|<br>43|<br>48|<br>53|59|<br>72|<br>80||91|106|<br>113|
|25-29<br>34|<br>37|<br>40|<br>45|50|<br>56|<br>69||76|88|<br>103|
|30-34<br>30|<br>32|<br>34|<br>38|43|<br>48|<br>53||66|73|<br>85|
|35-39<br>27|<br>28|<br>29|<br>32|35|<br>40|<br>45||50|63|<br>71|
|40-44<br>22|<br>25|<br>25|27|29|<br>33|<br>37||42|48|<br>60|
|45-49<br>20|<br>20|<br>23|<br>23|25|<br>27|<br>31||35|40|<br>45|
|50-54<br>16|<br>18|<br>18|<br>21|21|<br>23|<br>25||28|33|<br>38|
|55-59<br>14|<br>14|<br>16|<br>16|18|<br>19|<br>20||23|26|<br>30|
|60-64<br>10|<br>12|<br>* 12|<br>13|13|<br>15|<br>16||18|20|<br>23|
|65-69<br>7|8|<br>9|<br>9|10|<br>11|<br>12||13|14|<br>17|
|70.74<br>5|5|<br>5|<br>6|6|<br>7|<br>7||9|10|<br>11|
|75+<br>4|4|<br>4|<br>4|5|<br>5|<br>6||7|8|<br>10|
|TOTAL<br>457|504|<br>556|<br>619|695|<br>775|862||953|1048|<br>1143|
|BIRTH RATE|46.1|4.1|43.7|43.5|40.3|37.6||35.0|32.4|29.3|
|DEATH RATE|24.5|22.9|21.3|19.6|17.7|16.0||14.5|13.1|11.9|
|RATE OF NAT. INC.|2.15|2.12|2.24|2.39|2.26|2.16||,.06|1.93|1.74|
|NET H:GRATION<br>RATE|-11|-6|0|0|0|0||.0|.0|.0|
|<br> <br>GRJWTH<br>RATE|.<br>2.05|.<br>2.06|.<br>2.24|.<br>2.39|.<br>2.26|.<br>2.16||<br>2.06|<br>1.93|1.74|
|TOTAL FERTILITY|6.000|6.000|6.000<br>6|.000|5.490|4.980||4.470<br>|3.960|3.450|
|NRR|1.840|1.879|1.949<br>2|.032|1.919|1.797||1.665<br>|1.522|1.368|
|eCO)- BOTH SEXES|39.4t|40.53|41.94<br>4|3.58|45.33|47.'9||49.15<br>|51.23|53.44|
|e(10)<br>- BOTH SEXES|44.11|44.15|44.21<br>4|4.31|45.57|46.89||48.29<br>|49.77|51.34|
|IHR<br>- BOTH SEXES|144.8|133.9|121.0<br>1|07.0|100.5|93.9||87.4|80.8|74.2|
|(5)BOTH SEXES|2448|2263|2034<br>|1772|1651|1529||1407<br>|1283|1158|
|q- <br>D-P.RATIO<br>86.5|.<br>87.6|.<br> <br>87.7|.<br> <br> <br>89.6|.<br>89.5|.<br> <br>87.7|.<br> <br>83.3|<br>|.<br> <br>76.4|.<br>70.5|.<br> <br>65.0|
117 Projection t000s) Hfith NRR-1 by 2045

# SIINEA-GISSAU

Sury for 25 Year Perieds

|AGE GRWP<br>1985|<br>2000|2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTAL<br>HMF<br>886|<br>1217|<br>2088|<br>2964|<br>3667|<br>4009|<br>4149|<br>4218|
|MALES||||||||
|0-4<br>74|107|146|<br>135|<br>135|<br>136|136|<br>136|
|5-9<br>S5|<br>87|135|<br>131|<br>135|<br>136|<br>136|<br>136|
|10-14<br>56|77|126|<br>136|<br>136|<br>136|<br>136|<br>136|
|15-19<br>47|62|116|<br>138|<br>136|<br>135|<br>135|<br>135|
|20-24<br>36|58|106|<br>136|<br>133|<br>133|<br>13.|135|
|25-29<br>26|49|88|132|<br>130|<br>132|<br>134|<br>135|
|30-34<br>21|39|73|123|<br>126|<br>132|<br>134|<br>134|
|35-39<br>20|29|62|113|<br>130|<br>132|134|<br>134|
|40-44<br>19|21|48|101|<br>130|<br>131|<br>132|<br>133|
|45-49<br>16|16|43|90|126|<br>127|<br>130|<br>131|
|50-54<br>13|15|34|72|119|<br>121|<br>127|<br>129|
|55-59<br>11|13|25|56|106|<br>114|<br>122|<br>125|
|60-64<br>9|10|17|43|90|109|<br>116|<br>118|
|65-69<br>7|7|10|<br>29|71|99|104|<br>107|
|70-74<br>4|5|6|20|52|80|86|<br>90|
|75+<br>4|4|5|17|48|102|<br>124|<br>137|
|TOTAL<br>429|<br>598|<br>1039|<br>1471|<br>1803|<br>1956|<br>2019|<br>2050|
|FEMALES||||||||
|0-4<br>73|106|144|<br>133|<br>133|<br>133|<br>133|<br>133|
|5-9<br>60|87|134|<br>130|<br>133|<br>133|<br>133|<br>133|
|10-14<br>52|77|125|<br>135|<br>135|<br>134|<br>133|<br>133|
|15-19<br>45|61|116|<br>138|<br>135|<br>133|<br>133|<br>133|
|20-24<br>39|53|106|<br>136|<br>133|<br>132|<br>133|<br>133|
|25-29<br>34|45|88|132|<br>130|<br>132|<br>133|<br>133|
|30-34<br>30|38|73|124|<br>127|<br>132|<br>133|<br>133|
|35-39<br>27|32|63|114|<br>131|<br>133|<br>133|<br>133|
|40-44<br>22|27|48|103|<br>132|<br>133|<br>133|<br>132|
|45-49<br>20|23|40|92|129|<br>129|<br>131|<br>132|
|50-54<br>16|21|33|74|123|<br>125|<br>129|<br>131|
|55-59<br>14|16|26|59|112|<br>120|<br>128|<br>130|
|60-64<br>10|13|20|47|98|120|<br>126|<br>127|
|65-69<br>7|9|14|32|82|114|<br>120|<br>122|
|70-74<br>5|6|10|22|63|99|107|<br>111|
|75+<br>4|4|8|21|68|152|<br>194|<br>219|
|TOTAL<br>457|619|1048|<br>1493|<br>1864|<br>2054|<br>2131|<br>2168|
|BIRTH RATE|44.5|37.2|23.6|16.9|14.3|13.3|13.0|
|DEATH<br>RATE|22.8|15.8|9.8|8.5.|10.7|11.9|12.3|
|NET MIGRATION<br>RATE|-.5|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|2.11|2.16|1.40|.85|.36|.14|.07|
|TOTAL FERTILITY|5.996|4.845|2.701|2.149|2.084|2.045|2.042|
|etO)<br>- BOTH SEXES|40.71|47.71|58.80|68.68|73.44|76.93|77.90|
|<br>IMR- BOTH SEXES|132.6|93.5|61.6|35.2|19.4|9.3|7.9|
118

|LIBERIA<br>-.<br>6<br>...............................................................................................................||Proje|ction(000|s)<br>with NRR:|1 by 2035|||||
|---|---|---|---|---|---|---|---|---|---|
|AGE GROLP<br>1985|<br>1990|<br>1995|<br>2000|<br>2005|<br>2010|<br>2015|<br>2020|<br>2025|<br>2030|
|TOTAL M+F<br>2178|<br>2563|2969|<br>3416|<br>3915|<br>4457|<br>5020|<br>5576|<br>6110|<br>6612|
|MALES||||||||||
|0-4<br>220|<br>239|<br>256|283|<br>315|<br>342|<br>359|<br>361|<br>356|<br>345|
|5-9<br>156|<br>208|<br>229|248|<br>276|<br>308|<br>335|<br>352|<br>355|<br>351|
|10-14<br>130|<br>155|<br>205|226|<br>245|<br>273|<br>305|<br>332|<br>349|<br>352|
|15-19<br>110|<br>12d|<br>152|202|<br>223|<br>242|<br>270|<br>302|<br>329|<br>346|
|20-24<br>92|<br>108|<br>125|149|<br>198|<br>219|<br>238|<br>266|<br>297|<br>325|
|25-29<br>76|<br>90|<br>105|122|<br>145|<br>193|<br>214|<br>233|<br>261|<br>293|
|30-34<br>67|<br>75|<br>88|102|<br>119|<br>142|<br>189|<br>210|<br>229|<br>257|
|35-39<br>56|65|<br>72|85|<br>99|<br>115|<br>138|<br>184|<br>205|<br>224|
|40-44<br>48|54|<br>63|70|<br>82|<br>96|112|<br>134|<br>180|<br>201|
|45-49<br>41|46|<br>52|60|<br>67|<br>79|92|108|<br>130|<br>175|
|50-54<br>32|38|<br>43|49|<br>57|<br>63|75|88|<br>103|<br>125|
|55-59<br>26|30|<br>35|40|<br>45|<br>53|59|70|<br>82|<br>97|
|60-64<br>20|<br>23|<br>27|32|<br>36|<br>41|48|54|<br>64|<br>75|
|65-69<br>14|<br>17|<br>20|23|<br>27|<br>31|35|41|<br>46|<br>55|
|70-74<br>10|<br>11|<br>13|16|<br>18|<br>21|24|28|33|<br>37|
|75,<br>5<br> <br>|9<br>|11<br>|14<br>|<br>17<br>|<br>20<br>|24|28|32|<br>**38**|
|TOTAL<br>1104<br>|1296|1496|1719|1967|2236|2515|2789|3052|3298|
|FEMALES<br> <br>||||||||||
|0-4<br>209|236|253|279|309|336|352|354|350|339|
|5-9<br>154<br> <br>|199<br>|227<br>|245<br>|272<br>|303<br>|330<br>|347|350<br>|346|
|10-14<br>126|152|196|225|243|270|301|'28|<br>345|348|
|15-19<br>106|124|150|194|222|240|267|298|325|343|
|20-24<br>89|105|122|147|<br>191|<br>219|237|264|295|323|
|25-29<br>77|87|<br>102|119|<br>144|<br>188|<br>216|<br>234|<br>261|<br>292|
|30-34<br>64|75|<br>85|100|<br>117|<br>141|<br>184|<br>212|<br>231|<br>258|
|35-39<br>54|62|<br>73|83|<br>97|<br>114|<br>138|<br>181|<br>208|<br>227|
|40-44<br>46|52|<br>60|70|<br>81|<br>95|111|<br>135|<br>177|<br>205|
|45-49<br>39|44|<br>50|58|<br>68|<br>78|92|108|<br>132|<br>173|
|50-54<br>32|37|<br>42|48|<br>55|<br>65|75|89|105|<br>128|
|55-59<br>26|30|<br>35|39|<br>45|<br>52|62|71|<br>85|<br>100|
|60-64<br>21|24|<br>* 27|32|<br>36|<br>41|49|58|67|<br>80|
|65-69<br>16|18|<br>21|24|<br>28|<br>32|37|43|52|<br>61|
|70-74<br>10|13|<br>14|17|<br>19|<br>23|26|31|37|<br>4|
|75+<br>6<br> <br>|10<br> <br>|<br>14<br> <br>|16<br>|<br>20<br> <br>|<br>23<br> <br>|28<br> <br>|33<br> <br>|40<br> <br>|<br>48<br>|
|TOTAL<br>1074|<br>1267|<br>1471|1696|<br>194U|<br>2221|<br>2505|<br>2787|<br>3058|<br>3314|
|BIRTH RATE|45.0|40.6|38.2|36.4|34.5|31.8|28,4|25.3|22.4|
|DEATH RATE|12.9|11.4|10.2|9.1|8.6|8.0|7.4|7.0|6.6|
|RATE OF NAT. INC.|3.21|2.92|2.80|2.73|2.59|2.38|2.10|1.83|1.58|
|NET MIGRATION<br>RATE|.4|.2|.0|.0|.0|.0|.0|.0|.0|
|GROWTN<br>RATE<br>|3.25<br>|2.94<br>|2.80<br>|2.73<br>|2.59<br>|2.38<br>|2.10<br>|1.S3<br>|1.58<br>|
|TOTAL FERTILITY|6.500|5.990|5.480|4.970|4.460|3.950|3.440|2.992|2.602|
|NRR|2.522|2.397|2.264|2.114|1.923|1.727|1.525|1.345|1.185|
|e(O)- BOTHSEXES|54.49|56.49|58.42|60.27|61.53|62.82|64.15|65.52|66.93|
|e0l0)- BOTH SEXES|54.64<br>|55.24<br>|55.71|56.18|57.04|57.93|58.84|59.78|60.74|
|IHR * BOTH SEXES<br>|87.0<br>|75.7<br>|64.0<br>|53.1|49.3|45.4|41.5|37.6|33.8|
|q(5)- BOTH SEXES|.1400|.1197|.0990|.0799|.0736|.0673|.0610|.0547|.0484|
|DEP. RATIO<br>94.3|<br>97.8|<br>96.8|<br>89.6|<br>84.1|<br>80.0|<br>75.2|<br>69.1|<br>62.2|<br>55.7|
119 Projection (OCOs) with **HRRII** by 2035 LIBERIA

# Summary for 25 Year Periods

|,**.....**<br>.<br>..........<br>.......<br>.....|........<br>.|......<br>.............|....<br>|......<br>......<br>!.|..........<br>....|..................................||
|---|---|---|---|---|---|---|---|
|AGE**GROUP**<br>1985|2000|2025|2050|2075|2100|2125|2150|
|**TOTAL**<br>M.F<br>2178|3416|6110|8417|9944|10436|10S94|<br>10654|
|MALES||||||||
|0-4<br>220|283|356|346|341|340|340|340|
|5-9<br>158|248|355|342|337|338|339|340|
|10-14<br>130|226|349|331|335|338|339|340|
|15-19<br>110|202|329|324|335|338|339|339|
|20-24<br>92|149|297|336|337|339|338|338|
|25-29<br>76|122|261|342|341|337|337|337|
|30-34<br>67|102|229|341|337|333|335|336|
|35-39<br>56|85|205|333|324|330|334|336|
|40-44<br>48|70|180|310|316|328|333|334|
|45-49<br>41|60|130|276|324|328|331|331|
|50-54<br>32|49|103|237|324|326|325|325|
|55-59<br>26|40|82|199|312|313|312|315|
|60-64<br>20|32|64|167|286|285|293|298|
|65-69<br>14|23|46|130|240|252|267|272|
|70-74<br>10|16|33|79|180|221|229|233|
|75+<br>5|14|32|78|204|332|356|364|
|TOTAL<br>1104|1719|3052|4169|4873|5079|5149|5179|
|FEMALES||||||||
|0-4<br>209|279|350|340|334|332|332|332|
|5-9<br>154|245|350|337|332|332|332|332|
|10-14<br>126|225|345|326|329|332|332|332|
|15-19<br>106|194|325|320|330|333|333|332|
|20-24<br>89|14.|295|333|334|334|333|332|
|25-29<br>77|119|261|340|338|333|332|332|
|30-34<br>64|100|231|341|335|331|331|332|
|35-39<br>54|83|208|334|324|328|331|332|
|40-44<br>46|70|177|313|317|328|332|332|
|45-49<br>39|58|132|281|328|331|332|331|
|50-54<br>32|48|105|244|332|333|330|329|
|55-59<br>26|39|85|210|327|326|324|325|
|60-64<br>21|32|67|183|310|307|315|319|
|65-69<br>16|24|52|145|275|288|304|308|
|70-74<br>10|17|37|95|223|273|283|287|
|75+<br>6|16|40|106|304|517|570|587|
|TOTAL<br>1074|1696|3058|4248|5071|5357|5445|5475|
|BIRTH RATE|40.9|30.6|19.1|14.7|13.2|12.9|12.7|
|DEATH RATE|11.4|7.9|6.4|8.1.|11.3|12.3|12.5|
|NET MIGRATION RATE|.2|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|3.00|2.33|1.28|.67|.19|.06|.02|
|TOTAL FERTILITY|5.933|3.810|2.227|2.056|2.046|2.040|2.039|
|**e(O)**<br>**-** BOTH SEXES|56.66|63.16|70.13|75.40|77.17|78.41|78.72|
|IMR**-** BOTH SEXES|75.0|45.2|26.0|12.9|9.4|7.1|6.7|
120 NIGERIA Projection **(O0Ws)** with NR'4=1 by 2035

|...<br>..<br>,**.**.,.................................<br>AGE GROLUP<br>1985|1990|.<br>.<br>.<br>1995|.<br>.<br>.<br>.<br>.<br>.<br>2000|.<br>.<br>.<br>.<br>.<br>2005|_.<br>.<br>.<br>.<br>.<br>2010|.<br>.<br>.<br>.<br>.<br>.<br>2015|.<br>.<br>..<br>.<br>.<br>2020|.<br>.<br>.<br>.<br>.<br>.<br>2025|.<br>.<br>.<br>.<br>.<br>.<br>2030|
|---|---|---|---|---|---|---|---|---|---|
|TOTAL**N+F**<br>99669|116738|135627|157311|187m|207804|234592|261282|287027|311206|
|MALES||||||||||
|0-4<br>9966|10984|12085|13696|15342|16423|17086|17314|17117|16614|
|5-9<br>7774|9289|10349|11515|13185|14822|15922|16622|16901|<br>16766|
|10-14<br>6340|7586|9093|10164|11344|13006|14639|15746|16459|16758|
|15-19<br>5245|6213|7447|8940|10006|11182|12836|14467|15580|16307|
|20-24<br>4164|5107|6058|7267|8731|9792|10963|12608|14237|15361|
|25-29<br>3370|<br>4033|<br>4952|<br>5878|<br>7055|<br>8497|<br>9552|<br>10721|<br>12360|13990|
|30-34<br>2706|3257|3904|4797|5697|6855|8278|9330|10498|12134|
|35-39<br>2272|2607|3143|3769|4635|5520|6660|8065|9114|10283|
|40-44<br>1914|2175|2500|3017|3621|4465|5334|6456|7841|**8888**|
|45-49<br>1563|1815|2067|2378|2872|3459|4280|5129|6228|7589|
|50-54<br>1246|1461|1700|1938|2233|2706|3270|4061|4885|5952|
|55-59<br>969|1140|1340|1562|1783|20W2|2508|3042|3791|4577|
|60-64<br>725|858|1012|1192|1391|1594|1850|2260|2752|3444|
|65-69<br>508|607|720|851|1005|1178|1357|1583|1942|2376|
|70-74<br>320|387|466|554|657|780|921|1066|<br>1251|1544|
|75+<br>253|318|394|480|580|698|840|1007|1191|1415|
|TOTAL<br>49336|57837|67229|78000|90137|103039|116297|129476|142148|153997|
|FEMALES||||||||||
|0-4<br>9895|10886|11950|13514|15105|16168|16819|17042|16847|16352|
|5-9<br>7767|9266|10310|11443|13068|14657|15740|16429|16701|16564|
|1e-14<br>6356|7588|9085|10143|11294|12914|14502|15594|16296|16587|
|15-19<br>5276|6238|7464|8954|10015|11164|12781|14370|15470|16185|
|20-24<br>4225|5165|6119|7332|8808|9866|11015|12630|14221|15333|
|25-29<br>3458|4122|5049|5989|7186|8648|9705|10855|12469|14066|
|30-34<br>2804|3361|4015|4926|5852|7036|8485|9542|<br>10695|<br>12310|
|35-39<br>2354|2714|3261|3903|4797|5712|6883|8320|9379|<br>10536|
|40-44<br>1994|2267|2620|3155|3783|4661|5565|6724|<br>8149|9210|
|45-49<br>1646|1910|2177|2522|3043|3658|4520|5411|6556|7967|
|50-54<br>1339|1563|1818|2077|2411|2918|3518|4360|5236|6363|
|55-59<br>1066|1250|1464|1708|1956|2278|2767|3349|4165|5020|
|60-64<br>821|966|1139|1338|1566|1802|2109|2573|<br>3129|3910|
|65-69<br>597|707|837|991|1170|1378|1596|1881|2310|2826|
|70-74<br>394|472|564|673|802|954|1134|1325|1574|1950|
|75+<br>341|426|526|643|782|950|1155|1401|1682|2031|
|TOTAL<br>50333|58901|68398|79311|91636|104764|118295|131806|144879|157209|
|BIRTH RATE|46.6|43.2|41.3|39.2|36.3|33.0|29.6|26.3|23.2|
|DEATH RATE|15.0|13.2|11.6|10.3|9.5|8.7|8.1|7.5|7.1|
|RATE OF NAT. INC.|3.16|3.00|2.97|2.89|2.68|2.43|2.16|1.88|1.62|
|NET MIGRATION RATE|.0|.0|.0|**.0**|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|3.16|3.00|2.97|2.89|2.68|2.43|2.16|1.88|1.62|
|TOTAL FERTILITY|6.500|6.045|5.590|5.135|4.625|4.115|3.605|3.104|2.673|
|NRR|2.392|2.305|2.214|2.106|1.930|1.747|1.557|1.364|1.194|
|**e(O)**- SOTHSEXES|51.12|53.32|55.49|57.58|58.98|60.42|61.91|63.45|65.03|
|**e(1O)**- BOTH SEXES|53.43|54.22|54.79|55.31|56.19|57.10|58.03|58.99|59.97|
|IMR**-** BOTHSEXES|104.9|93.1|80.3|67.8|62.7|57.7|52.6|47.5|42.4|
|q(5)<br>- BOTH SEXES|.1732|.1513|.1280|.1057|.0972|0888|0803|0717|0631|
|<br>DEP. RATIO<br>102.8|100.5|<br>95.9|<br>90.4|<br>86.6|<br>82.5|.<br>76.5|.<br>69.4|.<br>62.4|.<br> <br>56.1|
121 NIGERIA Projection (0009) with **NARR=** by 2035

# Suimmry for 25 Year Periods

|**AGE**GROUP<br>1985|2000|d025|<br>2050|2075|2100|2125|2150|
|---|---|---|---|---|---|---|---|
|~~~~~~~~~|~~~~~~~~|~~~~.......|......**...........**<br>. .. .. .. .. .. .. .. .. .. .. .|**................**<br>. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..|**.**.........<br>|||
|TOTALN+F<br>99669|157311|287027|396940|470556|495586|504446|<br>507998|
|MALES||||||||
|0-4<br>9966|13696|17117|<br>16488|16242|16202|<br>16217|<br>16234|
|5-9<br>7774|<br>11515|16901|<br>16290|16080|16137|<br>16194|<br>16217|
|10-14<br>6340|10164|16459|<br>15720|15947|16117|<br>16193|<br>16207|
|15-19<br>5245|8940|15580|<br>15406|15951|16138|<br>16185|<br>16184|
|20-24<br>4164|7267|14237|16036|16060|16138|<br>16142|<br>16141|
|25-29<br>3370|5878|12360|<br>16264|16210|16052|16064|<br>16090|
|30-34<br>2706|4797|10498|<br>16148|15991|15872|<br>15979|<br>16048|
|35-39<br>2272|3769|9114|15579|15362|15689|<br>15921|<br>16011|
|40-44<br>1914|3017|7841|<br>14551|14958|<br>15619|<br>15882|<br>15948|
|45-49<br>1563|2378|6228|13082|15408|15598|<br>15772|<br>15801|
|50-54<br>1246|1938|4885|11074|15315|15485|<br>15459|<br>15506|
|55-59<br>969|1562|3791|8997|14640|14789|14843|<br>14992|
|60-64<br>725|1192|2752|7258|13228|13411|13914|<br>14187|
|65-69<br>508|851|1942|5552|11091|11851|<br>12651|<br>12955|
|70-74<br>320|554|1251|3651|8362|10387|<br>10842|<br>11073|
|75+<br>253|480|1191|3399|9047|15285|16698|<br>17231|
|TOTAL<br>49336|78000|142148|19549|4<br>229891|<br>240771|244957|<br>246825|
|FEMALES||||||||
|0-4<br>9895|13514|16847|16226|15949|15864|15861|<br>15867|
|5-9<br>7767|11443|16701|16078|15831|15831|<br>15859|<br>15869|
|10-14<br>6356|10143|16296|15542|15730|15837|15873|<br>15873|
|15-19<br>5276|8954|<br>15470|15269|15774|15891|15887|<br>15872|
|20-24<br>4225|7332|14221|15959|<br>15941|15940|<br>15679|<br>15862|
|25-29<br>3458|5989|12469|<br>16266|16145|15910|<br>1584Z|<br>15849|
|30-34<br>2804|4926|10695|16233|15985|15785|15810|<br>15843|
|35-39<br>2354|3903|9'379|<br>15754|15417|15i65|15805|<br>15848|
|40-44<br>1994|3155|8149|14825|15091|156i'5|15838|<br>15844|
|45-49<br>1646|2522|6556|<br>13471|15674|15776|15841|<br>15796|
|50-54<br>1339|2077|5Z36|<br>11616|15799|15857|<br>15719|<br>15684|
|55-59<br>1066|1708|41'i|S<br>9711|15472|15487|<br>15430|<br>15494|
|60-64<br>821|<br>1338|3129|8169|14540|14583|<br>15017|<br>15215|
|65-69<br>597|991|2310|6602|12912|.3643|14462|<br>14710|
|70-74<br>394|673|1574|4661|10535|12971|13467|<br>13665|
|75+<br>341|643|1682|5062|13869|24099|26893|<br>27882|
|TOTAL<br>50333|79311|144879|201445|240665|<br>254815|259488|<br>261173|
|BIRTH<br>RATE|43.4|32.1|19.5|14.9|13.4|12.9|12.8|
|DEATH RATE|13.1|8.7|6.7|8.1-|11.3|12.2|12.5|
|NET MIGRATION RATE|.0|.0|**.O**||.0|.0|.0|
|GROWTH<br>RATE|3.04|2.41|1.30|.68|.21|.07|.03|
|TOTAL FERTILITY|5.992|3.967|2.260|2.062|2.048|2.040|2.039|
|**e(O)**<br>**-** BOTH SEXES|53.53|60.82|68.64|74.63|76.75|78.25|78.64|
|**IIR**<br>- BOTH SEXES|92.1|57.5|32.3|15.1|10.4|7.4|6.8|
122 SAW TOWE AND PRINCIPE Projection (000s) with URR1 _by_ 2025

|...................................................................<br>AGE GROUP<br>1985|......................................<br> <br>1990|....................................<br> <br>1995|........<br> <br>2000.|2005|2010|2015|2020|<br>2025|<br>2030|
|---|---|---|---|---|---|---|---|---|---|
|....................................................................|.....................................|.........................||||||||
|TOTALH.F<br>108|<br>124|<br>140|<br>158|177|196|214|232|247|<br>263|
|MALES||||||||||
|.0-4<br>9|10|<br>10|<br>11|12|12|12|12|<br>11|<br>11|
|5-9<br>7|<br>9|10|<br>10|11|12|12|12|<br>12|<br>11|
|10-14<br>6|7|9|10|10|11|12|'2|12|<br>12|
|15-19<br>5|<br>6|<br>7|<br>9|10|10|<br>11|<br>12|<br>12|<br>12|
|20-24<br>4|5|<br>6|<br>7|9|10|<br>10|<br>11|<br>12|<br>12|
|25-29<br>4|<br>4|<br>5|6|7|9|<br>10|<br>10|<br>11|<br>11|
|30-34<br>3|<br>4|<br>4|<br>5|6|7|<br>9|<br>10|<br>10|<br>11|
|35-39<br>3|<br>3|<br>4|<br>4|5|6|<br>7|<br>8|<br>10|<br>10|
|40-44<br>3|<br>3|<br>3|<br>4|4|5|6|7|<br>8|<br>10|
|45-49<br>2|<br>3|<br>3|<br>3|4|4|<br>5|<br>S|<br>6|<br>8|
|50-54<br>2|<br>2|<br>3|<br>3|3|4|4|<br>4|5|<br>6|
|55-59<br>2|2|2|3|3|3|3|3|4|5|
|60-64<br>1|2|2|2|2|2|2|3|3|4|
|65-69<br>1|<br>1|<br>2|<br>1|1|2|<br>2|<br>2|<br>3|<br>3|
|70-74<br>1|<br>1|<br>1|<br>1|1|1|<br>2|<br>2|<br>2|<br>2|
|75.<br>1|<br>1|<br>1|<br>1|1|1|<br>1|<br>2|<br>2|<br>2|
|TOTAL<br>54|<br>62|<br>70|<br>79|88|9t|<br>107|<br>115|<br>123|<br>130|
|FEMALES||||||||||
|0-4<br>9|10|10|<br>11|12|12|<br>12|<br>12|<br>11|<br>11|
|5-9<br>7|9|<br>10|<br>10|11|11|<br>12|<br>12|<br>12|<br>11|
|10-14<br>6|<br>7|<br>9|<br>10|10|11|<br>11|<br>12|<br>12|<br>12|
|15-19<br>5|<br>6|<br>7|<br>9|10|10|<br>11|<br>11|<br>12|<br>12|
|20-24<br>4|5|<br>6|<br>7|9|10|<br>10|<br>11|<br>11|<br>12|
|25-29<br>4|<br>4|<br>5|<br>6|7|9|10|<br>10|<br>11|<br>11|
|30-34<br>3|<br>4|4|5|6|7|9|<br>10|<br>10|<br>11|
|35-39<br>3|<br>3|<br>4|<br>4|5|6|7|<br>9|<br>10|<br>10|
|40-44<br>3|<br>3|<br>3|<br>4|4|5|6|<br>7|<br>9|<br>10|
|45-49<br>2|<br>3|<br>3|<br>3|4|4|5|6|<br>7|<br>8|
|50-54<br>2|<br>2|<br>3|3|3|4|4|<br>5|6|<br>6|
|55-59<br>2|2|2|3|3|3|4|4|4|5|
|60-64<br>1|<br>2|<br>2|<br>2|3|3|3|3|3|4|
|65-69<br>1|<br>1|<br>2|<br>2|2|2|2|<br>2|<br>3|<br>3|
|70-74<br>1|<br>1|<br>1|<br>1|1|1|<br>2|<br>2|<br>2|<br>3|
|75+<br>1|<br>1|<br>1|<br>1|2|2|2|<br>3|<br>3|<br>3|
|TOTAL<br>54|<br>62|<br>70|<br>79|89|98|<br>108|<br>117|<br>124|<br>132|
|BIRTH RATE|36.8|32.6|30.4<br>2|8.6<br>|26.4|24.2|21.5|18.9|17.8|
|DEATH RATE|9.0|7.8|6.9|6.2|6.1|5.9|S.8|5.8|5.9|
|RATE OF NAT. INC.|2.78|2.48|2.36<br>2|.23<br>2|.03|1.83|1.57|1.30|1.19|
|NET HIGRATION<br>RATE|.0|.0|.0|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|2.78|2.48|2.36<br>2|.23<br>2|.03|1.83|1.57|1.30|1.19|
|TOTAL FCRTILITY|5.250|4.740|4.230<br>3.|720<br>3.|210|2.826|2.488|2.190|2.081|
|NRR|2.361|2.173|1.970<br>1|.754<br>1|.520|1.343|1.187|1.048|1.000|
|e(0)- WOTH SEXES|65.11|66.65|68.06<br>69|.34<br>7|0.04|70.76|71.49|72.24|73.01|
|e(lO)- BOTH SEXES|59.80|60.19|60.83<br>61|.56<br>6|2.12|62.70|63.30|63.91|64.54|
|IHR- BOTH SEXES|48.5|38.0|30.2<br>2|4.3<br>2|2.8|21.2|19.7|18.1|16.5|
|q(5) -BOTH SEXES|0628|0472|0366<br>|0289<br>|0270|0251|0231|0212|0193|
|<br>DEP. RATIO<br>86.2|.<br> <br>86.5|.<br> <br>86.5|.<br>.<br> <br>79.6|<br>.<br>71.7|<br>67.5|.<br>62.5|.<br> <br>56.5|.<br> <br>51.4|.<br> <br>46.8|
123 ProJectfon (000s) with **NARRI** by 2025

# **SAO** TO4E AND PRINCIPE

# Summary for 25 Year Periods

|AGE GROUP<br>1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|...........<br>.....................|.......|....<br>..........|..........|....<br>......|....<br>.......|. ............||
|TOTALM4f<br>108|<br>158|<br>247|<br>319|<br>355|<br>361|<br>364|<br>365|
|MALES<br> <br>||||||||
|0-4<br>9|11|11|12|<br>12|<br>12|<br>12|<br>12|
|5-9<br>7|10|12|12|<br>12|<br>_12_|<br>12|<br>12|
|10-14<br>6|10|12|12|<br>12|<br>12|<br>12|<br>12|
|15-19<br>5|9|12|12|<br>11|<br>12|<br>12|<br>12|
|20-24<br>4|7|12|11|11|<br>12|<br>12|<br>12|
|25-29<br>4|6|11|11|11|<br>12|<br>12|<br>12|
|30-34<br>3|5|10|12|12|<br>12|<br>12|<br>11|
|35-39<br>3|4|10|12|12|<br>11|<br>11|<br>11|
|40-44<br>3|4|8|12|11|<br>ll|ll|ll|
|45-49<br>2|3|6|11|11|<br>1l|11|<br>11|
|50-54<br>2|3|5|10|ll|ll|ll|11|
|55-59<br>2|3|4|9|ll|11|ll|11|
|60-64<br>1|2|3|8|10|<br>10|10|<br>10|
|65-69<br>1|1|3|6|9|9|9|9|
|70-74<br>1<br> <br>|1<br>|2|4|8|8|8|8|
|75+<br>1|1|2|4|10|<br>12|13|<br>13|
|TOTAL<br>54|79|123|<br>157|<br>173|<br>176|<br>177|<br>177|
|FEMALES||||||||
|0-4<br>9<br>|ll|ll|lllll|||l||
|5-9<br>7|10|12|12|11|11|1l|ll|
|10-14<br>6|10|12|12|11|11|11|<br>11|
|15-19<br>5|9|12|11|11|<br>11|11|<br>11|
|20-24<br>4|7|11|11|11|<br>11|||
|25-29<br>4|6|11|11|ll|11|11|<br>11|
|30-34<br>3|5|10|11|ll|ll|ll|11|
|35-39<br>3|4|10|12|12|11|11|<br>11|
|40-44<br>3|-<br>4|9|12|11|11|11|<br>11|
|45-49<br>2|3|7|11|11|<br>11|11|<br>11|
|50-54<br>2|3|6|10|11|ll|11|<br>11|
|55-59<br>2|3|4|10|11|ll|11|<br>11|
|60-64<br>1|2|3|9|II|11|11|<br>11|
|65-69<br>1|2|3|7|11|10|10|<br>1l|
|70-74<br>1|1|2|5|9|9|10|<br>10|
|75+<br>1|1|3|6|15|19|20|20|
|TOTAL<br>54|79|124|162|181|<br>185|<br>187|<br>187|
|BIRTH RATE|33.0|23.5|16.4|13.6|12.9|12.7|12.7|
|DEATH<br>RATE|7.8|6.0|6.3|9.4|12.1|12.5|12.6|
|NET MIGRATION<br>RATE|.0|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|2.54|1.79|1.02|.42|.07|.03|.01|
|TOTAL FERTILITY|4.687|2.796|2.066|2.043|2.040|2.039|2.038|
|e(O) - BOTH<br>SEXES|66.73|70.90|74.70|77.47|78.26|78.80|78.93|
|INR - BOTH SEXES|38.7|21.3|13.4|8.3|7.3|6.6|6.4|
124

|SIERRA LEONE<br>Projection(000s)<br>u|<br>wthhRR-lby_2050_||
|---|---|---|
|.....................................................................................................................||.|
|AGE"JP<br>1985<br>1990<br>1995<br>2000|2005<br>2010<br>2015<br>2020<br>2025|2030|
|...................................................................................|.............................................||
|TOTAL*OF<br>3657<br>4145<br>4696<br>5358|6163<br>7031<br>7978<br>9005<br>10105|11246|
|MALES<br> <br>|<br> <br> <br> <br>||
|0-4<br>317<br>376<br>417<br>481|562<br>607<br>656<br>706<br>751|780|
|5-9<br>251<br>282<br>339<br>380<br> <br> <br> <br>|445<br>524<br>570<br>620<br>672<br> <br> <br> <br> <br>|720<br>|
|10-14<br>212<br>242<br>272<br>329|370<br>434<br>513<br>559<br>610|662|
|15-19<br>180<br>206<br>235<br>266|322<br>363<br>427<br>504<br>550|<br>602|
|20-24<br>153<br>173<br>199<br>228|258<br>314<br>355<br>417<br>495|541|
|25-29<br>133<br>147<br>16'<br>192|2;1<br>251<br>305<br>346<br>408|484|
|30-34<br>118<br>127<br>141<br>161|lEA<br>214<br>243<br>297<br>337|399|
|35-39<br>103<br>112<br>121<br>135|15S<br>179<br>207<br>236<br>289|329|
|40-44<br>87<br>97<br>107<br>116|129<br>148<br>172<br>199<br>228|<br>280|
|45-49<br>73<br>81<br>91<br>101|109<br>123<br>141<br>165<br>191|<br>220|
|50-54<br>60<br>67<br>75<br>84|94<br>102<br>115<br>133<br>156|<br>181|
|55-59<br>48<br>53<br>60<br>68|77<br>86<br>94<br>106<br>123|<br>1"4|
|60-64<br>36<br>41<br>46<br>53|60<br>68<br>76<br>84<br>95|110|
|65-69<br>25<br>29<br>34<br>35|44<br>50<br>57<br>64<br>71|81|
|70-74<br>14<br>18<br>21<br>25|29<br>34<br>38<br>44<br>50|55|
|75.<br>11<br>12<br>16<br>21|25<br>30<br>35<br>41<br>47<br>|54|
|TOTAL<br>1820<br>2064<br>2342<br>2677|3086<br>3525<br>4003<br>4520<br>5072|<br>5643|
|FEHALES|<br> <br>||
|0-4<br>314<br>377<br>416<br>479|558<br>601<br>649<br>697<br>741|769|
|5-9<br>248<br>281<br>341<br>381<br> <br> <br> <br>|445<br>522<br>;6,<br>616<br>667<br> <br> <br> <br> <br>|714<br>|
|10-14<br>211<br>239<br>271<br>331<br> <br> <br> <br> <br>|371<br>43-<br>511<br>556<br>606<br> <br> <br> <br> <br>|657<br> <br>|
|15-19<br>180<br>205<br>232<br>264|323<br>363<br>425<br>502<br>547|<br>598|
|20-24<br>154<br>174<br>198<br>225|256<br>314<br>354<br>416<br>492|538|
|25-29<br>135<br>148<br>167<br>191|217<br>248<br>305<br>345<br>407|<br>482|
|30-34<br>118<br>129<br>142<br>160|1U7,<br>209<br>240<br>296<br>336<br> <br> <br>|<br>397<br>|
|35-39<br>102<br>112<br>122<br>135|'53<br>176<br>201<br>231<br>286|326<br>|
|40-44<br>87<br>96<br>106<br>116|128<br>145<br>168<br>193<br>223|277|
|45-49<br>74<br>81<br>90<br>100<br> <br> <br> <br> <br>|109<br>121<br>138<br>160<br>185<br> <br> <br> <br> <br>|215<br>|
|50-54<br>63<br>69<br>76<br>84|93<br>102<br>114<br>131<br>152|177|
|55-59<br>52<br>57<br>63<br>69|76<br>85<br>94<br>106<br>122<br> <br> <br> <br> <br>|143<br>|
|60-64<br>40<br>45<br>-<br>49<br>55|61<br>68<br>76<br>85<br>96<br> <br>|111<br>|
|65-69<br>29<br>33<br>37<br>41|45<br>51<br>57<br>65<br>73|83<br>|
|70-74<br>17<br>21<br>24<br>27|30<br>34<br>39<br>44<br>51<br> <br>|58<br>|
|75.<br>14<br>16<br>20<br>23<br> <br> <br> <br> <br>|27<br>31<br>36<br>42<br>49<br> <br> <br> <br>44<br>033|**58**<br>5602|
|TOTAL<br>1837<br>2081<br>2354<br>2681|3077<br>3506<br>3975<br>85<br>5||
|BIRTH RATE<br>48.0<br>46.0<br>45.6<br>|45.4<br>42.2<br>39.6<br>37.2<br>34.7|31.8|
|DEATH RATE<br>23.0<br>21.0<br>19.2<br>|17.4<br>15.8<br>14.3<br>12.9<br>11.7|10.5|
|RATE OF NAT. INC.<br>2.50<br>2.50<br>2.64<br>|2.80<br>2.64<br>2.53<br>2.42<br>2.30|2.14|
|NET MIGRATION<br>RATE<br>.0<br>.0<br>.0|.0<br>.0<br>.0<br>.0<br>.0|.0|
|GRCOTH<br>RATE<br>2.50<br>2.50<br>2.64<br> <br> <br> <br>|2.80<br>2.64<br>2.53<br>2.42<br>2.30<br> <br> <br> <br> <br>|2.14<br>|
|TOTAL FERTILITY<br>6.500<br>6.500<br>6.500<br>6|.500<br>5.990<br>5.480<br>4.970<br>4.460|3.950|
|NRR<br>2.011<br>2.079<br>2.167<br>2|.264<br>2.151<br>2.029<br>1.897<br>1.755|1.602|
|e(0)- BOTH SEXES<br>41.30<br>43.51<br>45.81<br>4|8.14<br>49.91<br>51.74<br>53.66<br>55.65|57.74|
|e(1O) - BOTH SEXES<br>48.07<br>49.24<br>50.25<br>5|0.93<br>51.91<br>52.92<br>53.97<br>55.06|56.18|
|IMR- BOTH SEXES<br>153.9<br>140.9<br>127.0<br>1<br> <br> <br>|12.5<br>104.3<br>96.1<br>87.9<br>79.7<br> <br>|71.5|
|q(5)- BOTH SEXES<br>.2599<br>.2382<br>.2146<br>.<br>DEP. RATIO<br>83.3<br>86.7<br>88.8<br>91.2|1876<br>.1731<br>.1585<br>.1438<br>.1289<br>92.0<br>91.1<br>87.7<br>81.9<br>76.7|.1139<br> <br>71.6|
125 Projection (0OOS) with **NRR-1** by 2056

# SIERRA LEONE

# Sumury for 25 Year Periods

|.**...**<br>...<br> <br>**AGE**<br>GRQJP<br>¢'B5|<br>...<br>**...**<br>....<br>...<br>2000|.<br>.<br>...<br>....<br> <br>2025|...<br>...<br>...<br> <br>2050|...<br>...<br>......<br> <br>2075|........<br> <br>2100|.<br>.<br>.<br>..<br> <br>2125|.<br>.<br>.<br>.<br>.<br>.<br> <br>2150|
|---|---|---|---|---|---|---|---|
|<br>.........................................||.................|........................................|........................|||..................................|
|TOTAL N.F<br>3657|<br>5358|<br>10105|<br>15.42|19650|<br>21794|<br>2244S|<br>22727|
|KALES||||||||
|(-4<br>317|<br>481|751|<br>706|728|<br>731|<br>731|731|
|5-9<br>251|<br>380|672|732|736|732|<br>729|729|
|10-14<br>212|<br>329|610|750|741|729|<br>727|728|
|15-19<br>18O|<br>266|550|750|731|722|<br>724|727|
|20-24<br>153|<br>228|495|733|703|716|<br>722|726|
|25-29<br>133|<br>192|<br>408|689|687|716|<br>724|725|
|30-34<br>118|<br>161|337|630|712|723|<br>724|722|
|35-39<br>103|<br>135|289|567|725|726|<br>720|718|
|40-44<br>87|116|228|505|719|712|<br>710|713|
|45-49<br>73|101|191|<br>445|693|677|698|706|
|50-54<br>60|84|156|<br>356|636|650|<br>688|697|
|55-59<br>48|68|123|<br>280|557|650|673|678|
|60-64<br>36|53|95|220|465|622|<br>639|639|
|65-69<br>25|38|71|153|368|556|<br>571|576|
|70-74<br>14|25|50|105|268|452|464|486|
|75.<br>11|21|47|99|259|563|<br>702|760|
|TOTAL<br>1820|<br>2677|<br>5072|<br>7720|9728|<br>10679|<br>10944|<br>11059|
|FEMALES||||||||
|0-4<br>314|479|741|693|713|716|<br>715|714|
|5-9<br>248|<br>381|667|721|<br>723|718|<br>715|714|
|10-14<br>211|331|606|740|729|717|<br>713|713|
|15-19<br>180|264|547|743|721|<br>711|<br>712|713|
|20-24<br>154|225|<br>492|728|694|706|711|714|
|25-29<br>135|191|407|686|682|709|<br>715|714|
|30-34<br>118|<br>160|336|629|709|718|<br>717|714|
|35-39<br>102|135|286|<br>566|725|<br>722|<br>714|712|
|40-44<br>87|--116|223|504|722|711|<br>707|709|
|45-49<br>74|100|<br>185|<br>445|700|681|<br>700|707|
|50-54<br>63|84|152|358|649|661|698|706|
|55-59<br>52|69|122|<br>285|578|676|697|700|
|60-64<br>40|55|<br>96|230|498|669|686|<br>685|
|65-69<br>29|41|<br>:.3|<br>163|<br>411|<br>631|<br>646|652|
|70-74<br>17|<br>27|51|<br>114|<br>317|<br>551|<br>567|597|
|_75n_<br>14|<br>23|49|118|349|820|1086|1203|
|TOTAL<br>1837|<br>2681|5033|7722|<br>9921|11115|<br>11500|<br>11667|
|BIRTH<br>RATE|46.4|39.1|25.0|16.9|14.1|13.1|12.9|
|DEATH RATE|20.9|14.1|8.4|7.4|10.0|11.9|12.4|
|NET MIGRATION<br>RATE|.0|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|2.55|2.54|1.70|.96|.41|.12|.05|
|TOTAL FERTILITY|6.496|5.328|2.957|2.115|2.070|2.043|2.040|
|**etO)-** BOTH SEXES|43.73|52.29|62.66|71.06|74.79|77.49|78.21|
|<br>INR**-** BOTHSEXES|139.7|95.1|55.7|26.1|15.2|8.2|7.3|
# SAHELIAN DEPARTMENT (AF5)
128

|BUIRKINA<br>FASO<br>................................................||Proje|ction**(000**<br>,|**s)**<br>with NRR|m1<br>by 2045||.................................|||
|---|---|---|---|---|---|---|---|---|---|
|AGE**GROUP**<br>1985|<br>1990|1995|2000|2005|<br>2010|<br>2015|<br>2020|<br>2025|<br>2030|
|.......................................................................................|...........................................|||||||||
|TOTALM+F<br>7881|9016|10386|12055|<br>13895|<br>15920|<br>18131|<br>20512|<br>22992|<br>25458|
|MALES||||||||||
|0-4<br>738|<br>837|<br>949|<br>1117|<br>1224|<br>1332|<br>1443|<br>1545|<br>1615|<br>1628|
|5-9<br>560|<br>689|<br>788|<br>901|<br>1069|<br>1176|<br>1285|<br>1398|<br>1503|<br>1576|
|10-14<br>470|<br>548|<br>676|<br>m|**888**|1055|<br>1162|<br>1271|<br>1385|<br>1490|
|15-19<br>403|<br>458|<br>536|<br>663|<br>761|<br>873|<br>1040|<br>1147|<br>1256|<br>1370|
|20-24<br>391|<br>384|<br>442|<br>520|<br>644|<br>742|<br>854|<br>1019|<br>1126|<br>1236|
|25-29<br>264|<br>366|<br>367|<br>424|<br>500|<br>623|<br>720|<br>832|<br>996|<br>1104|
|30-34<br>191|<br>243|<br>348|<br>350|<br>407|<br>482|<br>603|<br>700|<br>811|<br>974|
|<br> <br>35-39<br>168|<br> <br> <br>175|<br> <br> <br>230|<br> <br> <br>331|<br> <br> <br>334|<br> <br> <br>390|<br> <br> <br>464|<br> <br> <br>583|<br> <br> <br>679|<br><br> <br>790|
|40-44<br>155|<br>154|<br>164|<br>216|<br>313|<br>317|<br>372|<br>445|<br>562|<br>657|
|45-49<br>134|<br>141|<br>142|<br>152|<br>202|<br>294|<br>299|<br>353|<br>424|<br>538|
|50-54<br>115|<br>121|<br>129|<br>130|<br>140|<br>186|<br>273|<br>279|<br>331|<br>400|
|55-59<br>97|<br>101|<br>108|<br>115|<br>116|<br>125|<br>168|<br>248|<br>255|<br>305|
|60-64<br>81|<br>82|<br>86|<br>91|<br>98|<br>100|<br>108|<br>147|<br>218|<br>226|
|65-69<br>57|<br>64|<br>65|<br>68|<br>73|<br>79|<br>81|<br>89|<br>121|<br>181|
|70-7S.<br>39|<br>41|<br>46|<br>47|<br>49|<br>53|<br>58|<br>60|<br>67|<br>92|
|75,<br>38|<br>38|<br>39|<br>43|<br>45|<br>48|<br>53|<br>59|<br>64|<br>71|
|TOTAL<br>3901|<br>4440|<br>5115|<br>5944|<br>6862|<br>7875|<br>8982|<br>10174|<br>1141|3<br>12640|
|FEMALES||||||||||
|0-4<br>696|<br>833|<br>943|<br>1108|<br>1212|<br>1318|<br>1427|<br>1527|<br>1595|<br>1608|
|5-9<br>558|<br>650|<br>785|<br>895|<br>1061|<br>1167|<br>1274|<br>1386|<br>1490|<br>1562|
|10-14<br>470|<br>545|<br>637|<br>771|<br>882|<br>1048|<br>1153|<br>1261|<br>1374|<br>1478|
|15-19<br>439|<br>458|<br>533|<br>625|<br>758|<br>869|<br>1033|<br>1139|<br>1248|<br>1361|
|20-24<br>331|<br>423|<br>444|<br>518|<br>609|<br>740|<br>851|<br>1016|<br>1.ZZ|<br>1232|
|25-29<br>251|<br>316|<br>407|<br>428|<br>501|<br>591|<br>722|<br>833|<br>997|<br>1105|
|30-34<br>236|<br>239|<br>303|<br>392|<br>413|<br>485|<br>575|<br>705|<br>816|<br>979|
|35-39<br>230|<br>225|<br>228|<br>290|<br>377|<br>399|<br>4.'|<br>559|<br>688|<br>799|
|40-44<br>194|219|214|218|278|362|385|456|<br>544|<br>671|
|45-49<br>153|184|208|203|207|266|348|371|<br>441|<br>528|
|50-54<br>127|143|172|195|191|<br>196|<br>252|331|<br>355|<br>424|
|55-59<br>101|116|132|158|180|<br>177|<br>182|236|<br>312|<br>336|
|60-64<br>77|89|103|117|141|<br>161|<br>160|166|<br>216|<br>287|
|65-69<br>50|<br>64|<br>74|<br>86|<br>98|<br>120|<br>138|<br>138|<br>144|<br>190|
|70-74<br>32|<br>38|<br>49|<br>57|<br>66|<br>76|<br>94|<br>110|<br>112|<br>118|
|75+<br>34|<br>35|<br>40|<br>49|<br>59|<br>70|<br>84|<br>104|<br>126|<br>139|
|TOTAL<br>3980|<br>4576|<br>5271|<br>6111|<br>7033|<br>8045|<br>9149|<br>10338|<br>1157|9<br>12817|
|BIRTH RATE|47.5|46.2|46.2|42.9|40.1|37.7|35.2|32.3|28.9|
|DEATH RATE|18.5|17.1|15.8|14.1|12.7|11.5|10.4|9.4|8.5|
|RATE OF NAT. INC.|2.91|2.91|3.04|2.88|2.75|2.62|2.47|2.28|2.04|
|NET MIGRATION<br>RATE|-2.1|-.8|-.6|-.4|-.3|-.1|-.1|.0|.0|
|GROWTH<br>RATE|2.69|2.83|2.98|2.84|2.72|2.60|2.47|2.28|2.04|
|TOTAL FERTILITY|6.500|6.500|6.500|5.990|5.480|4.970|4.460|3.950|3.440|
|NRR|2.287|2.329|2.399|2.284|2.139|1.986|1.824|1.653|1.473|
|**e(O)**<br>**-** BOTH SEXES|47.25|48.50|50.01|51.74|53.37|55.06|56.81|58.64|60.55|
|edIO)*****BOTH SEXES|50.40|50.87|51.25|51.67|52.67|53.71|54.79|55.92|57.08|
|**IMR-** BOTH SEXES|137.8|129.2|117.8|104.6|96.6|88.6|80.5|72.5|64.5|
|qC5)-BOTH SEXES|2054|1915|1726|1512|1393|1274|1153|1032|0910|
|<br>DEP. RATIO<br>90.4|.<br> <br>94.5|.<br> <br>96.1|.<br> <br>96.4|.<br> <br>93.8|.<br> <br>90.0|.<br> <br>83.5|.<br> <br>77.|.<br>4<br>71.|.<br>6<br>66.2|
129

# 9URKINA FASO

# Projecti i (000s) with NRRUl by 2045

# Suamry for 25 Year Period;

|. ...........<br>.................<br>AGE GROLJP<br>1985|.....<br>....<br> <br>2000|....<br>.<br>.....<br> <br>2025|........<br>.......<br> <br>2050|...<br>.............<br> <br>2015|.......<br> <br>2100|......<br>.....<br> <br>2125|......<br>..<br> <br>2150|
|---|---|---|---|---|---|---|---|
|~~~~~~~~~~~<br>..<br>...................|~..<br>....<br>..........|.......................................|.......................................|...............|||..|
|TOTAL<br>MF<br>7881|<br>12055|<br>22992|<br>34123|<br>42563|<br>46332|<br>47465|<br>47962|
|MALES<br> <br>|<br>|<br>||||||
|0-4<br>738|<br>1117|<br>1615|<br>1501|<br>1518|<br>1532|<br>1537|<br>1538|
|5-9<br>560|<br>901|1503|<br>1465|<br>1519|<br>1534|<br>1536|<br>1536|
|10-14<br>470|775|<br>1385|<br>1528|<br>1536|<br>1536|<br>1534|<br>1534|
|15-19<br>403|663|1256|<br>1565|<br>1543|<br>1528|<br>1528|<br>1530|
|20-24<br>391|520|1126|<br>1562|<br>1515|<br>1511|<br>1521|<br>1527|
|25-29<br>264|<br>424|996|<br>1522|<br>1466|<br>1496|<br>1518|<br>1525|
|30-34<br>191|<br>350|811|1425|<br>1429|<br>1496|<br>1518|<br>1522|
|35-39<br>168|<br>331|679|1296|<br>1482|<br>1507|<br>1516|<br>1516|
|40-44<br>155|<br>216|562|1155|<br>1506|<br>1505|<br>1502|<br>1505|
|45-49<br>134|<br>152|<br>424|013|<br>1484|<br>1464|<br>1174|<br>1487|
|50-54<br>115|<br>13C|<br>331|867|<br>1413|<br>1391|<br>1438|<br>1463|
|55-59<br>97|115|<br>255|668|<br>1268|<br>1310|<br>1394|<br>1422|
|60-64<br>81|91|218|<br>513|<br>1074|<br>1278|<br>1330|<br>1348|
|65-69<br>57|68|121|<br>371|<br>852|<br>1173|<br>1210|<br>1221|
|70-74<br>39|47|67|227|<br>620|<br>978|1008|<br>1030|
|75+<br>38|43|64|201|<br>638|<br>1289|<br>1488|<br>1598|
|TOTAL<br>3901|<br>5944|<br>11413|<br>16878|<br>20864|<br>22527|<br>23051|<br>2,302|
|FEMALES||||||||
|0-4<br>696|1108|<br>1595|<br>1480|<br>1493|<br>1501|<br>1504|<br>1504|
|5-9<br>558|<br>895|1490|<br>1450|<br>1499|<br>1507|<br>1506|<br>1504|
|10-14<br>470|771|1374|<br>1515|<br>1519|<br>1511|<br>1505|<br>1503|
|15-19<br>439|625|1248|<br>1556|<br>1530|<br>1507|<br>1501|<br>1502|
|20-24<br>331|518|1122|<br>1558|<br>1509|<br>1495|<br>1498|<br>1502|
|25-29<br>251|<br>428|997|1524|<br>1467|<br>1487|<br>1499|<br>1503|
|30-34<br>236|<br>392|816|1433|<br>1436|<br>1492|<br>1505|<br>1504|
|35-39<br>230|290|688|1308|<br>1495|<br>1510|<br>1508|<br>1502|
|40-44<br>194|<br>218|544|1173|<br>1527|<br>1516|<br>1501|<br>1497|
|45-49<br>153|<br>203|441|1039|<br>1516|<br>1488|<br>1485|<br>1489|
|50-54<br>127|<br>195|<br>355|904|1463|<br>1433|<br>1466|<br>1483|
|55-59<br>101|<br>158|312|717|<br>1344|<br>1380|<br>1455|<br>1473|
|60-64<br>77|117|216|574|1180|<br>1398|<br>1441|<br>1448|
|65-69<br>50|86|144|<br>416|990|<br>1358|<br>1390|<br>1390|
|70-74<br>32|57|112|289|777|<br>1225|<br>1256|<br>1274|
|75+<br>34|49|126|<br>308|953|<br>1995|<br>2394|<br>2584|
|TOTAL<br>3980|6111|11579|<br>17245|<br>21699|<br>23805|<br>24414|<br>24659|
|BIRTH RATE|466|37.0|22.7|16.1|13.8|13.0|12.8|
|DEATH<br>RATE|17.0|11.3|7.3|7.4.|10.4|12.1|12.4|
|NETMIGRATION<br>RATE|-1.1|**-.1**|**.0**|.0|.0|.0|.0|
|GROWTH<br>RATE|2.83|2.58|1.58|.88|.34|.10|.04|
|TOTAL FERTILITY|6.502|4.809|2.626|2.083|2.057|2.041|2.040|
|**e(O)-** BOTH SEXES|48.72|55.57|65.03|72.62|75.67|77.85|78.42|
|<br>IMR**-** BOTH SEXES|127.4|87.6|49.0|k1.2|13.1|7.9|7.1|
130

|CAPE VERDE<br>.................................................|............................|Proj<br>.....................................|ectio<br>...........|n(000s)<br>withHRNRlby<br>.............................|2025|||||
|---|---|---|---|---|---|---|---|---|---|
|AGE GROLIP<br>1985|<br>1990|<br>1995||2000<br>2005|2010|2015|2020|2025|<br>2030|
|TOTAL<br>M+F<br>334|<br>377|<br>434||495<br>554|612|673|736|796|<br>853|
|MALES||||||||||
|0-4<br>28|<br>32|<br>39||39<br>38|37|38|38|37|<br>37|
|5-9<br>24|<br>27|<br>31||**38**<br>39|38|37|38|38|<br>37|
|10-14<br>23|<br>24|27||38|39|38|37|Z.|38|
|15.19<br>21|<br>23|23||27<br>31|37|38|**38**|36|<br>37|
|20-24<br>17|<br>20|<br>22||23<br>26|3)|37|38|37|<br>36|
|25-29<br>10|16|<br>**.19**||21<br>22|<br>25|30|7?|38|<br>37|
|30-34<br>4|9|15||18<br>20|21|25|30|37|<br>38|
|35-39<br>2|3|8||14<br>17|2%|21|25|29|<br>36|
|40-44<br>2|<br>1|<br>3||8<br>14|17|19|21|24|<br>29|
|45-49<br>4|<br>2|1||2<br>7|13|17|19|20|<br>24|
|50-54<br>4|<br>4|1||1<br>2|7|13|16|la|20|
|55-49<br>3|<br>4|<br>3||1<br>1|2|7|12|15|<br>17|
|60-<br>2|<br>3|<br>3||3<br>1|1|2|6|11|<br>14|
|65-69<br>2|2|2||3<br>3|1|1|2|5|<br>10|
|70-74<br>2|<br>2|<br>1||2<br>2|2|1|1|1|<br>4|
|75+<br>3|<br>3|<br>2||2<br>2|3|3|_2_|1|<br>2|
|TOTAL<br>153|<br>174|<br>203||233<br>263|293|324|35-|388|<br>417|
|FEMALES||||||||||
|0-4<br>27|32|38||39<br>38|36|37|38|37|36|
|5-9<br>24|26|31||38<br>38|37|36|37|38|37|
|10-14<br>23|24|26||31<br>37|38|37|36|37|38|
|15-19<br>22|23|23||26<br>30|37|38|37|36|37|
|20-24<br>19|21|22||23<br>25|30|37|38|37|36|
|25-29<br>15|18|21||21<br>22|25|30|37|38|37|
|30-34<br>9|14|18||20<br>21|22|25|30|36|37|
|35-39<br>4|<br>9|14||17<br>20|21|22|24|29|36|
|40-44<br>5|4|8||14<br>17|19|20|22|24|<br>29|
|45-49<br>7|5|4||8<br>13|17|19|20|21|<br>24|
|50-54<br>6|7|5||3<br>8|13|16|19|20|<br>21|
|55-59<br>5|6|7||4<br>3|8|13|16|18|<br>19|
|60-64<br>3|5|5||6<br>4|3|7|12|15|<br>17|
|65-69<br>3|3|4||5<br>6|4|3|7|11|<br>14|
|70-74<br>3|3|2||4<br>4|5|3|2|6|10|
|75+<br>4<br>|4|4||3<br>4|5|6|6|5|7|
|TOTAL<br>181|203|232||262<br>291|319|349|379|408|435|
|BIRTH RATE|39.2|40.8|3|5.7<br>30.4<br>2|6.2<br>|24.2<br>|22.4|19.9|18.4|
|DEATH RATE|C.7|7.6||6.3<br>5.3|5.0|4.7|4.5|4.3|4.6|
|RAsE OFMAT.INC.|3.05|3.32|2|.94<br>2.51<br>2|.13<br>|1.95<br>|1.79|1.56|1.38|
|NET HIGRATIOP<br>RATE|-6.|-4.9|-|3.4<br>-2.3<br>-|1.4|-.6|.0|.0|.0|
|GROWTH<br>RATE|2.41|2.83|2|.60<br>2.28<br>|1.99<br>|1.89|1.79|1.56|1.38|
|TOTAL FERTILITY|5.170|4.660|4.|150<br>3.640<br>3.|130<br>2.|782<br>2|.474<br>2|.199|2.098|
|NRR|2.292|2.104|1.|901<br>1.689<br>1|.461<br>1.|306<br>1|.167<br>1|.043|1.000|
|e(0) - BOTH SEXES|65.28|66.43|67|.50<br>68.51<br>6|9.27<br>7|0.05<br>7|0.84<br>7|1.66|72.49|
|e(IO)- BOTH SEXES|61.30|61.60|61|.81<br>62.02<br>6|2.53<br>6|3.05<br>6|3.59<br>6|4.14|64.71|
|IMR- BOTH SEXES|65.9|57.7|4|8.7<br>40.2<br>3|7.1<br>|34.0<br>|30.8|27.7|24.6|
|q(5)<br>BOTH SEXES|.0804|0688||573<br>0465<br>|0429<br>|0392<br>|0356<br>|0319|0283|
|<br> <br>DEP. RATIO<br>101.3|<br> <br>92.3|.<br>92.5|.<br>|<br>.<br>.<br>89.8<br>81.6|<br>.<br>66.4|<br> <br>55.0|<br>.<br>49.0|<br>46.9|.<br> <br>46.2|
131 Projection (O00s) with **NRR31** by 2025

# GAPE VEROE

Sumaryr ror 2 ,ea$ Periods

|.,.,,.........I<br>.................<br>AGE GRU<br>1985|...<br>....<br>2000|, ...<br>I......<br>2025|..<br>...........<br>2050|......................<br>2075|.<br>2100|.<br>..........<br>2125|2150|
|---|---|---|---|---|---|---|---|
|... ..<br>......<br>...........<br>|......<br>...........|..............................|.......||.........................|..............................||
|TOTAL MF<br>334|495|796|1035|1146|116B|<br>1176|1179|
|HALF'||||||||
|0-.<br>28|39|'7|37|38|38|38|38|
|5-9<br>24|38|38|38|37|37|38|38|
|10-1/<br>23|3'|38|37|37|37|37|37|
|15-19<br>21|27|36|37|37|37|37|37|
|20-24<br>17|23|37|37|37|37|37|37|
|25-29<br>10|21|38|37|37|37|37|37|
|30-34<br>4|18|37|38|37|37|37|37|
|35-39<br>2|14|29|37|37|37|37|37|
|40-44<br>2|8|24|35|37|37|37|37|
|45i49<br>4|2|20|36|36|36|37|37|
|50-54<br>4|1|18|36|35|36|36|36|
|55-59<br>3|1|15|33|35|35|35|35|
|6'-64<br>2|3|11|25|32|33|33|33|
|65-69<br>2|3|5|19|28|30|30|30|
|70-74<br>2|2|1|13|25|25|26|26|
|75+<br>3|2|1|14|3t|39|40|41|
|TOTAL<br>153|233|388|509|560|568|572|573|
|FEMALES||||||||
|0-4<br>27|39|37|37|37|37|37|37|
|5-9<br>24|38|38|37|37|37|37|37|
|10-14<br>23|31|37|37|37|37|37|37|
|15-19<br>22|26|36|37|37|37|37|37|
|20-24<br>19|23|37|36|37|37|37|37|
|25-29<br>15|21|38|36|37|37|37|37|
|30-34<br>9|20|36|37|37|37|37|37|
|35-39<br>4|17|29|37|37|37|37|37|
|40-44<br>5|14|24|35|37|36|37|37|
|45-49<br>7|8|21|36|36|36|37|37|
|50-54<br>6|3|20|36|36|36|36|36|
|55-59<br>5|4|18|35|36|36|36|36|
|60-64<br>3|6|15|27|35|35|35|35|
|65-69<br>3|5|11|21|32|34|34|34|
|70-74<br>3|4|6|17|30|31|31|32|
|75+<br>4|3|5|24|52|61|65|66|
|TOTAL<br>181|262|408|526|587|600|604|606|
|BIRTH RATE|38.4|24.2|16.4|13.6|12.9|12.7|12.7|
|DEATH RATE|7.4|4.7|6.0|9.5|12.2|12.5|12.6|
|NET MIGRATION RATE|-4.7|-.7|0|.0|.0|.0|.0|
|GROWrH<br>RATE|2.62|1.90|1.05|.41|.07|.03|.01|
|TOTALFERTILITY|4.542|2.765|2.076|2.043|2.040|2.039|2.039|
|eCO)- BOTH SEXES|66.50|70.21|74.32|77.30|78.18|78.77|78.92|
|<br>INR - BOTH SEXES|57.0|34.0|18.4|8.5|7.4|6.6|6.5|

................. **..** .....
132 CHAD Projection (000s) with NRR=l by 2045

|AGE_GROLW_<br>1985<br>**......**...<br>...................|1990<br>................................|<br>1995<br>......|<br>2000|<br>2005<br>..<br>.....|2010<br>.....<br>........|2015<br>..............|<br>2020<br>..<br>..<br>....|<br>2025<br>......<br>.......|<br>2030<br>..........<br>.|
|---|---|---|---|---|---|---|---|---|---|
|TOTAL N+F<br>5018|5679|<br>6449|7391|<br>8431|9542|10737|<br>12006|<br>13312|<br>14587|
|MALES||||||||||
|0-4<br>425|494|559|655|717|765|819|868|<br>897|<br>892|
|5-9<br>322|<br>386|<br>454|<br>521|<br>618|<br>681|<br>730|785|<br>837|<br>870|
|10-14<br>282|<br>3;1|<br>375|443|510|607|669|719|<br>775|<br>827|
|15-19<br>246|<br>275|<br>304|<br>367|<br>435|501|<br>597|659|<br>710|<br>766|
|20-24<br>214|238|267|296|<br>357|424|<br>489|<br>584|<br>64?|<br>698|
|25-29<br>186|<br>206|<br>230|<br>257|<br>286|346|411|476|<br>571|<br>633|
|30-34<br>161|<br>179|<br>198|<br>221|<br>248|<br>276|<br>336|400|<br>465|<br>558|
|35-39<br>139|<br>154|<br>17'|<br>190|<br>212|<br>239|<br>267|<br>325|<br>389|<br>453|
|40-44<br>120|<br>132|<br>147|<br>163|<br>181|<br>203|<br>230|<br>257|<br>315|<br>378|
|45-49<br>101|<br>112|<br>124|<br>138|<br>154|<br>172|<br>194|<br>219|<br>247|<br>303|
|50-54<br>84|<br>93|104|<br>116|<br>129|<br>144|<br>161|<br>182|<br>208|<br>234|
|55-59<br>67|<br>75|<br>84|<br>94|<br>105|<br>118|<br>132|<br>149|<br>169|<br>193|
|60-64<br>52|<br>58|<br>66|<br>74|<br>83|<br>93|104|<br>118|<br>133|<br>152|
|65-69<br>37|42|<br>48|<br>54|61|<br>69|<br>78|<br>88|<br>100|<br>113|
|70-74<br>24|<br>27|<br>32|<br>3b|<br>41|<br>47|53|60|<br>68|<br>78|
|75+<br>19|23|27|31|36|42|49|56|65|<br>75|
|TOTAL<br>2478|2806|3188|3657|<br>4174|4726|5319|<br>5948|<br>6594|<br>7224|
|FEKALES||||||||||
|0-4<br>421|<br>492|<br>55S|<br>649|<br>709|<br>756|<br>809|<br>857|<br>886|<br>880|
|5-9<br>323|<br>384|<br>455|<br>520|<br>616|<br>674|<br>725|<br>779|<br>830|<br>862|
|10-14<br>284|313|373|444|5'0|605|665|715|<br>770|<br>822|
|15-19<br>247|277|306|366|436|<br>501|596|657|707|<br>763|
|20-24<br>217|241|270|299|358|428|493|587|648|<br>699|
|25-29<br>189|211|234|263|291|349|418|483|577|<br>638|
|30-34<br>165|183|204|226|255|283|341|409|474|<br>567|
|35-39<br>143|159|176|196|<br>219|247|275|332|400|<br>464|
|40-44<br>124|137|152|168|<br>189|211|239|267|<br>323|<br>390|
|45-49<br>106|117|130|145|<br>161|181|203|231|<br>259|<br>314|
|50-54<br>90|99|111|123|<br>137|153|172|194|<br>222|<br>249|
|55-59<br>75|83|92|103|<br>115|128|144|163|<br>184|<br>211|
|60-64<br>59|67|74|83|93|104|117|132|<br>150|<br>170|
|65-69<br>44|49|57|63|71|80|90|103|<br>116|<br>133|
|70 74<br>29<br> <br>|34<br>|38<br>|44<br>|50<br>|56<br>|64<br>|73<br>|<br>84<br> <br>|<br>96<br> <br>|
|75.<br>25|30|36|42|49|57|66|76|<br>89|<br>104|
|TOTAL<br>2540|2873|3261|3734|<br>4257|4816|5418|<br>6058|<br>6718|<br>7363|
|BIRTH RATE|44.4|43.3|43.5|40.7|37.9|35.5|33.3|30.6|27.3|
|DEATH RATE|19.6|17.9|16.2|14.3|13.1|11.9|10.9|9.9|9.0|
|RATE OFMAT.INC.|2.48|2.54|2.72|2.63|2.48|2.36|2.24|2.07|1.83|
|NET MIGRATION<br>RATE|.0|.0|.0|.0|.0|.0|.0|.0|0|
|GROWTH<br>RATE|2.48|2.54|2.72|2.63|2.48|2.36|2.23|2.07|1.83|
|TOTAL FERTILITY|5.890|6.028|6.165|5.793|5.283|4.7M|4.263|3.753|3.243|
|NRR|1.977|2.097|2.243|2.201|2.056|1.902|1.740|1.569|1.388|
|e(O)- BOTH SEXES|45.49|47.80|50.14|52.47|54.09|55.78|57.52|59.33|61.21|
|e(1O) - BOTH SEXES|50.56|51.57|52.25|52.84|53.79|54.78|55.80|56.85|57.93|
|IMR-BOTH SEXES|131.9|119.1|105.2|90.9|84.2|77.4|70.6|63.8|57.1|
|q(5)- BOTH SEXES|.2229|.2000|.1736|.1473|.1356|.1239|.1121|.1002|.0883|
|<br>OEP. RATIO<br>80.2|83.6|<br>87.4|<br>90.1|<br>89.7|87.1|<br>81.4|<br>75.9|<br>70.8|<br>65.1|
133 Projection (000s) with NRR=1 by 2045 CHAD Summary for 25 Year Periods

|AGEGRCJP<br>1985|2000|2025|2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|,.....................................................|||..................|....|........................|..............|. ...|
|TOTALM+F<br>5018|7391|13312|<br>19172|<br>23629|<br>25579|<br>26184|<br>26445|
|MALES||||||||
|0-4<br>425|655|897|832|839|845|847|84t3|
|5-9<br>322|521|837|814|839|845|847|847|
|10-14<br>282|443|<br>775|843|<br>846|846|845|845|
|15-19<br>246|367|710|856|847|842|843|844|
|20-24<br>214|296|647|849|834|834|839|842|
|25-29<br>186|257|571|837|814|827|837|840|
|30-34<br>161|221|465|<br>790|795|826|837|839|
|35-39<br>139|190|389|724|818|830|835|835|
|40-44<br>120|163|315|653|825|827|828|830|
|45-49<br>101|<br>138|<br>247|<br>584|<br>808|<br>806|<br>814|<br>821|
|50-54<br>84|116|208|501|779|<br>773|795|807|
|55-59<br>67|94|169|389|705|<br>730|770|784|
|60-64<br>52|<br>74|<br>133|<br>300|<br>603|<br>707|<br>733|<br>742|
|65-69<br>37|<br>54|<br>100|<br>214|<br>485|<br>645|<br>666|<br>673|
|70-74<br>24|<br>36|<br>68|<br>138|<br>360|<br>534|<br>556|<br>569|
|75+<br>19|<br>31|<br>65|<br>138|<br>375|<br>721|<br>828|<br>884|
|TOTAL<br>2478|3657|6594|9463|<br>11572|<br>12438|<br>12718|<br>12850|
|FEMALES||||||||
|0-4<br>421|649|886|820|825|828|829|829|
|5-9<br>323|<br>520|<br>830|<br>806|<br>827|<br>830|<br>830|<br>829|
|10-14<br>284|<br>444|<br>770|<br>836|<br>836|<br>832|<br>829|<br>828|
|15-19<br>247|<br>366|<br>707|<br>851|<br>840|<br>830|<br>828|<br>828|
|20-24<br>217|<br>**299**|648|<br>848|<br>830|<br>825|<br>826|<br>828|
|25-29<br>189|263|577|<br>840|<br>813|<br>821|<br>827|<br>828|
|30-34<br>165|<br>226|<br>474|<br>797|<br>798|<br>824|<br>829|<br>829|
|35-39<br>143|<br>196|<br>400|<br>735|<br>825|<br>831|<br>830|<br>828|
|40-44<br>124|<br>168|<br>323|<br>667|<br>836|<br>833|<br>827|<br>825|
|45-49<br>106|<br>145|<br>259|<br>602|<br>826|<br>819|<br>819|<br>821|
|50-54<br>90|<br>123|<br>222|<br>526|<br>807|<br>795|<br>810|<br>818|
|55-59<br>75|<br>103|<br>184|<br>419|<br>749|<br>768|<br>803|<br>811|
|60-64<br>59|<br>83|<br>150|<br>337|<br>665|<br>773|<br>793|<br>797|
|65-69<br>44|<br>63|<br>116|<br>251|<br>565|<br>745|<br>763|<br>766|
|70-74<br>29|<br>44|<br>84|<br>173|<br>453|<br>669|<br>692|<br>703|
|75+<br>25|<br>42|<br>89|<br>201|<br>562|<br>1119|<br>1330|<br>1428|
|TOTAL<br>2540|<br>3734|<br>6718|<br>9709|<br>12057|<br>13141|<br>13466|<br>13596|
|BIRTH RATE|43.7|35.0|22.0|15.9|13.7|13.0|12.8|
|DEATH<br>RATE|17.8|11.8|7.7|7.6|10.6|12.1|12.4|
|NET MIGRATION<br>RATE|.0|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|2.58|2.35|1.46|.84|.32|.09|.04|
|TOTAL FERTILITY|6.036|4.623|2.560|2.080|2.056|2.041|2.040|
|eCO) BOTH SEXES|48.01|56.24|65.56|72.91|75.81|77.89|78.44|
|I-<br>BOTH SEXES|117.7|76.7|43.9|20.2|12.7|7.8|7.1|
134

|**GAH81A,**THE||Proj|ec|tion<br>**(OOs**|**)**w|ith**NRR-1 by**2050|||||
|---|---|---|---|---|---|---|---|---|---|---|
|AGE**GROUP**<br>1985|1990|1995||2000||2005<br>2010|2015|2020|2025|2030|
|...............................................|||........|....................................|..........|.....................................||||*|
|TOTAL**M+F**<br>748|875|1012||1167||1346<br>1540|1753|1986|2235|2494|
|HALES|||||||||||
|0-4<br>A6|81|91||105||123<br>133|<br>145|157|168|<br>175|
|5-9<br>52|60|74||84||98<br>116|<br>126|<br>138|151|<br>162|
|10-14<br>42|51|59||72||82<br>96|113|124|136|<br>149|
|15-19<br>35|41|50||58||71<br>81|95|112|122|<br>134|
|20-24<br>32|35|40||49||56<br>69|79|92|109|<br>120|
|25-29<br>29|32|34||39||47<br>54|67|77|90|107|
|30-34<br>26|29|31||33||38<br>46|52|65|75|8s|
|35-39<br>24|25|28||30||32<br>37|44|51|63|73|
|40-44<br>20|23|25||27||29<br>30|35|43|49|61|
|45-49<br>16|19|<br>22||23||25<br>27|29|33|41|<br>47|
|50-54<br>13|1s|<br>18||20||22<br>24|26|27|32|39|
|55-59<br>9|12|<br>13||16||19<br>20|22|<br>23|25|29|
|60-64<br>7|8|10||12||14<br>16|<br>17|<br>19|21|<br>22|
|65-69<br>4|6|6||8||10<br>12|<br>14|<br>15|16|<br>18|
|70-74<br>2|3|4||5||6<br>7|9|10|11|<br>13|
|75+<br>2|2|3||4||5<br>6|7|9|11|<br>12|
|TOTAL<br>377|440|509||587||676<br>774|<br>880|<br>996|1120|<br>1249|
|FEMALES|||||||||||
|0-4<br>67|81|<br>91||105||122<br>132|<br>144|<br>155|166|<br>172|
|5-9<br>51|61|<br>74||84||98<br>115|<br>125|<br>137|149|<br>160|
|10-14<br>42|49|<br>59||72||82<br>96|113|<br>123|135|<br>148|
|15-19<br>36|41|<br>49||58||71<br>81|<br>94|1II|121|<br>134|
|20-24<br>33|36|41||47||56<br>69|79|92|109|<br>119|
|25-29<br>30|33|35||40||46<br>55|67|77|90|107|
|30-34<br>25|30|32||34||38<br>44|53|65|75|8s|
|35-39<br>21|24|29||31||33<br>36|42|51|63|73|
|40-44<br>17|20|23||27||29<br>31|<br>35|41|49|61|
|45-49<br>14|16|<br>19||22||26<br>28|30|33|39|47|
|50-54<br>12|13|<br>15||18||21<br>24|26|28|32|37|
|55-59<br>9|11|<br>12||14||16<br>19|<br>22|<br>24|26|30|
|60-64<br>7|8|10||1||12<br>14|<br>17|<br>20|22|<br>24|
|65-69<br>5|6|7||8||9<br>10|<br>12|14|17|<br>19|
|70-74<br>2|4|4||5||6<br>7|8|9|11|<br>14|
|75+<br>2|2|3||4||5<br>6|7|8|10|<br>13<br>|
|TOTAL<br>371|435|504||580||670<br>767|873|<br>990|1115|<br>1245|
|BIRTH RATE<br>|48.6|46.3||45.2||44.7<br>41.7|39.4|37.2|34.8|31.9|
|DEATH RATE<br>|20.9|19.3||17.7||16.1<br>14.8|13.5|12.3|¶1.1|10.0|
|RATE OF**NAf.**INC.<br>|2.77|2.70||2.75||2.86<br>2.70|2.59|2.49|2.36|2.19|
|NET MIGRATION<br>RATE|3.7|2.1||.9||.0<br>.0|.0|.0|.0|.0|
|<br> <br>GROWTH<br>RATE<br>|<br>3.14|<br>2.91||<br>2.84||2.86<br>2.70|2.59|2.49|2.36|2.19|
|TOTAL FERTILITY<br>6|.500|6.500|6|.500|6.|500<br>5.990|5.480|4.970<br>|4.460|3.950|
|NRR<br>2|.089|2.151|2|.237|2|.334<br>2.211|2.081|1.941<br>|1.791|1.631|
|e(O)- BOTH SEXES<br>4|3.42|45.19|4|7.14|4|9.24<br>50.96|52.74|54.61<br>|56.55|58.58|
|eClO)- BOTH SEXES<br>4|9.40|49.93|5|0.30|5|0.63<br>51.66|52.72|53.83<br>|54.97|56.16|
|IMR - **BOTH**SEXES<br>1|42.9|130.3|1|16.5|1|02.1<br>94.7|87.4|80.0|72.6|65.2|
|qCS)-BOTH SEXES<br>.|2415|.2202|.|1952|.|1679<br>.1550|.1420|.1288|.1156|.1023|
|<br> <br>DEP. RATIO<br>81.7|<br>86.4|<br>88.8||<br>91.4||<br> <br>92.4<br>91.5|<br> <br>88.5|<br> <br>83.1|<br>78.4|<br>73.1|
135 ProJecttmn (000s) with NRRs1 by 2050 GAMBIA, THE

# Summry for 25 Year Periods

|..........<br>..................<br>AGEGROUP<br>1985|............<br>2000|........................<br>2025|.<br>2050|,................<br>2075|..................................................<br>2100|.........................<br>2125|2150|
|---|---|---|---|---|---|---|---|
|TOTALM+F<br>748|1167|2235|3452|4423|4915|5057|5117|
|MALES||||||||
|0-4<br>66|105|168|158|164|164|164|<br>164|
|5-9<br>52|84|151|164|165|165|164|<br>164|
|10-14<br>42|72|136|169|167|164|164|<br>164|
|15-19<br>35|58|122|169|164|162|163|<br>164|
|20-24<br>32|49|109|165|158|161|163|<br>163|
|25-29<br>29|39|90|155|154|161|163|<br>163|
|30-34<br>26|33|75|142|160|163|163|<br>163|
|35-39<br>24|30|63|127|163|163|162|<br>162|
|40-44<br>20|27|49|112|162|160|160|<br>160|
|45-49<br>16|23|41|98|156|152|157|<br>159|
|50-54<br>13|20|32|79|144|146|155|<br>157|
|55-59<br>9|16|25|62|125|147|152|<br>153|
|60-64<br>7|12|21|48|104|140|144|<br>144|
|65-69<br>4|8|16|33|82|126|129|<br>130|
|70-74<br>2|5|11|22|60|102|105|<br>109|
|75+<br>2|4|11|<br>20|58|128|159|<br>172|
|TOTAL<br>377|587|1120|1723|2186|2405|2464|2490|
|FEMALES||||||||
|0-4<br>67|105|166|156|160|161|161|<br>161|
|5-9<br>51|84|149|162|163|162|161|<br>161|
|10-14<br>42|72|135|167|164|161|160|160|
|15-19<br>36|58|121|167|162|160|160|<br>160|
|20-24<br>33|47|109|164|<br>156|<br>159|<br>160|<br><br> <br>161|
|25-29<br>30|40|90|155|153|159|161|<br>161|
|30-34<br>25|34|75|141|160|162|161|161|
|35-39<br>21|31|63|127|163|163|161|<br>160|
|40-44<br>17|<br>27|<br>49|<br>112|<br>163|<br>160|<br>159|<br>160|
|45-49<br>14|<br>22|<br>39|<br>99|<br>158|<br>153|<br>158|<br>159|
|50-54<br>12|<br>18|<br>32|<br>80|<br>147|<br>149|<br>157|<br>159|
|55-59<br>9|14|26|64|<br>131|<br>153|<br>157|<br>158|
|60-64<br>7|11|22|51|112|152|155|154|
|65-69<br>5|8|17|36|92|143|146|147|
|70-74<br>2|5|11|24|71|125|128|135|
|75+<br>2|4|10|25|79|188|248|273|
|TOTAL<br>371|580|1115|1730|2237|2510|2593|<br>2628|
|BIRTH RATE|46.5|38.9|25.0|16.9|14.0|13.1|12.9|
|DEATH RATE|19.1|13.2|8.0|7.1|9.8|12.0|12.4|
|NET MIGRATION<br>RATE|2.1|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|2.96|2.60|1.74|.99|.42|.11|.05|
|TOTAL FERTILITY|6.495|5.323|2.949|2.105|2.066|2.042|2.040|
|eCO) - BOTH SEXES|45.43|53.29|63.40|71.57|75.08|77.61|78.28|
|IMR- BOTH SEXES|128.9|86.4|51.0|24.4|14.4|8.1|7.2|
136

|MALI<br>,...................................................................|.....................................|Proje<br>..........................|ction(000|s)<br>withNRR-|1 b|y2050|||||
|---|---|---|---|---|---|---|---|---|---|---|
|AGE GROLP<br>1985|1990|1995|2000|<br>2005||2010|<br>2015|<br>2020|2025|<br>2030|
|.....................................................................|.....................................|........................|||||||||
|TOTALM+F<br>7389|8501|9809|11450|<br>13331||15477|<br>17900|<br>20597|23530|<br>26622|
|MALES|||||||||||
|0-4<br>691|816|924|1098|<br>1231||1373|<br>1523|<br>1673|<br>1806|<br>1899|
|5-9<br>545|643|764|870|1041||1174|<br>1316|<br>1467|<br>1620|<br>1757|
|10-14<br>469|<br>532|<br>629|<br>749|855||1025|<br>1159|<br>1301|<br>1453|<br>1607|
|15-19<br>425|<br>457|<br>519|<br>616|<br>735||842|<br>1012|<br>1145|<br>128|8<br>1440|
|20-24<br>279|<br>403|<br>437|<br>500|<br>596||716|<br>823|<br>993|<br>112|7<br>1271|
|25-29<br>204|<br>256|<br>380|<br>416|<br>479||576|<br>696|<br>804|<br>974|<br>1109|
|30-34<br>154|<br>184|<br>237|<br>360|<br>397||461|<br>558|<br>678|<br>787|<br>957|
|35-39<br>142|<br>139|<br>169|<br>223|<br>344||381|<br>446|<br>543|<br>662|<br>772|
|40-44<br>144|<br>128|<br>127|<br>158|<br>210||328|<br>366|<br>431|<br>527|<br>645|
|45-49<br>127|<br>131|<br>118|<br>118|<br>148||199|<br>313|<br>350|<br>414|<br>508|
|50-54<br>105|<br>115|<br>120|<br>109|<br>109||137|<br>186|<br>294|<br>331|<br>393|
|55-59<br>87|<br>94|<br>103|<br>108|<br>96||99|<br>125|<br>170|<br>271|<br>307|
|60-64<br>72|<br>74|<br>80|<br>89|<br>94||85|<br>86|<br>110|<br>151|<br>242|
|65-69<br>55|<br>57|<br>59|<br>65|<br>72||77|<br>70|<br>72|<br>92|<br>127|
|70-74<br>38|<br>39|<br>41|<br>43|<br>47||53|<br>57|<br>53|<br>54|<br>71|
|75+<br>31|<br>34|<br>37|<br>39|<br>41||46|<br>52|<br>58|<br>58|<br>61|
|TOTAL<br>3568|<br>4104|<br>4747|<br>5561|<br>6498||7571|<br>8787|<br>10142|<br>1161|6<br>13167|
|FEMALES|||||||||||
|0-4<br>688|<br>821|<br>928|<br>1101|<br>1232||1372|<br>1519|<br>1666|<br>1795|<br>1885|
|5-9<br>541|<br>643|<br>770|<br>876|<br>1046||1177|<br>1318|<br>1467|<br>1619|<br>1753|
|10-14<br>472|<br>528|<br>628|<br>755|<br>861||1031|<br>1163|<br>1304|1454|<br>1607|
|15-19<br>413|<br>460|<br>515|<br>615|<br>741||848|<br>1018|<br>1150|<br>1292|<br>1444|
|20-24<br>278|396|442|<br>497|<br>597||724|<br>6Z2|<br>100^|1136|<br>1280|
|25-29<br>252|<br>262|<br>376|<br>422|<br>478||579|<br>706|<br>1S|986|<br>1122|
|30-34<br>235|<br>237|<br>246|<br>358|405||462|<br>563|<br>£.'0|<br>800|<br>972|
|35-39<br>217|<br>222|<br>224|<br>234|<br>344||391|<br>449|<br>550|<br>676|<br>787|
|40-44<br>185|<br>206|<br>211|<br>214|<br>224||332|<br>379|<br>437|<br>537|<br>663|
|45-49<br>141|<br>175|<br>196|<br>202|<br>204||215|<br>320|<br>368|<br>425|<br>523|
|50-54<br>111|<br>132|<br>166|<br>186|<br>191||195|<br>205|<br>307|<br>354|<br>410|
|55-59<br>87|<br>102|<br>122|<br>154|<br>173||179|<br>183|<br>193|<br>291|<br>336|
|60-64<br>69|<br>76|<br>91|<br>109|<br>138||1i|162|<br>167|<br>178|<br>269|
|65-69<br>54|<br>57|<br>64|<br>76|92||117|<br>134|<br>140|145|<br>156|
|70-74<br>40|<br>40|<br>42|<br>48|<br>58||71|<br>91|<br>106|<br>112|<br>118|
|75+<br>37|<br>39|<br>40|<br>43|<br>48||58|<br>71|<br>93|115|<br>131|
|TOTAL<br>3821|<br>4398|<br>5062|<br>5889|<br>6833||7906|<br>9113|<br>10455|<br>1191|4<br>13455|
|BIRTH RATE|51.2|49.8|50.3|47.6||44.9|42.3|39.6|36.7|33.4|
|DEATH RATE|19.6|18.2|17.1|15.6||13.9|12.5|11.1|9.9|8.7|
|RATE OF NAT. INC.|3.16|3.16|3.32|3.21||3.10|2.98|2.85|2.68|2.47|
|NET MIGRATION<br>RATE|-3.6|-3.0|-2.3|-1.7||-1.1|-. 7|-.4|-.2|.0|
|GROWTH<br>RATE|2.80|<br>2.86|<br>3.09|3.04||2.99|<br>2.91|<br>2.81|<br>2.66|2.47|
|TOTAL FERTILITY|7.000|7.055|7.110|6.655|6|.145|5.635|5.125|4.615|4.105|
|NRR|2.454|2.510|2.582|2.472|2|.342|2.204|2.056|1.899|1.732|
|e(O)- BOTH SEXES|47.23|48.50|49.77|51.06|5|2.76|54.51|56.33|58.21|60.16|
|et10)- BOTH SEXES|52.12|53.09|53.74|54.12|5|4.92|55.74|56.59|57.47|58.38|
|IMR- BOTH SEXES|168.8|163.1|155.1|144.8||132.8|120.9|109.0|97.0|85.1|
|q(5)-BOTH SEXES|2279|2197|2082|1935||1777|1618|1458|1297|1134|
|<br>DEP. RATIO<br>98.3|.<br>99.9|.<br>100.9|.<br> <br>101.3|.<br> <br>98.8|<br>|<br>95.8|.<br> <br>89.9|.<br> <br>83.9|.<br> <br>78.2|.<br> <br>72.3|
137 MALI

# Projection (00Cs) with NRR=I by 2050

Sumary for 25 Year Periods

|AGE GROUP<br>1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|**.........**...........................||..............................|........................................|....||||
|TOTAL<br>M4F<br>7389|<br>11450|<br>23530|<br>38010|<br>49112|<br>54796|<br>56337|<br>56980|
|MALES||||||||
|0-4<br>691|1098|<br>1806|<br>1737|<br>1811|<br>1828|<br>1830|<br>1829|
|5-9<br>545|870|1620|<br>1817|<br>1834|<br>1832|<br>1826|<br>1825|
|10-14<br>469|749|1453|<br>1870|<br>1850|<br>1823|<br>1820|<br>1822|
|15-19<br>425|616|1288|<br>1884|<br>1822|<br>1802|<br>1812|<br>1819|
|20-24<br>279|500|1127|<br>1820|<br>1741|<br>1782|<br>1808|<br>1817|
|25-29<br>204|<br>416|<br>974|<br>1701|<br>1696|<br>1784|<br>1811|<br>1815|
|30-34<br>154|<br>360|787|<br>1545|<br>1771|<br>1805|<br>1812|<br>1809|
|35-39<br>142|<br>223|_662_|1373|<br>1813|<br>1814|<br>1799|<br>1798|
|40-44<br>144|<br>158|<br>527|<br>1200|<br>1811|<br>1776|<br>1771|<br>1784|
|45-49<br>127|<br>118|<br>414|<br>1030|<br>1727|<br>1681|<br>1739|<br>1768|
|50-54<br>105|<br>109|331|863|<br>1577|<br>1608|<br>1714|<br>1746|
|55-59<br>87|108|271|661|<br>1372|<br>1622|<br>1682|<br>1697|
|60-64<br>72|<br>89|<br>151|<br>511|<br>1134|<br>1561|<br>1600|<br>1599|
|65-69<br>55|<br>65|<br>92|<br>355|<br>882|<br>1408|<br>1427|<br>1439|
|70-74<br>38|<br>43|<br>54|<br>225|<br>628|<br>1135|<br>1156|<br>1214|
|75+<br>31|<br>39|<br>58|<br>199|<br>630|<br>1402|<br>1759|<br>1905|
|TOTAL<br>3568|<br>5561|<br>11616|<br>18790|<br>24098|<br>26664|<br>27366|<br>27684|
|FEMALES||||||||
|0-4<br>688|<br>1101|<br>1795|<br>1715|<br>1781|<br>1792|<br>1791|<br>1788|
|5-9<br>541|<br>876|<br>1619|<br>1802|<br>1810|<br>1799|<br>1790|<br>1787|
|10-14<br>472|<br>755|<br>1454|<br>1860|<br>1830|<br>1794|<br>1785|<br>1785|
|15-19<br>413|<br>615|<br>1292|<br>1880|<br>1807|<br>1778|<br>1780|<br>1785|
|20-24<br>278|<br>497|<br>1136|<br>1825|<br>1734|<br>1764|<br>1781|<br>1787|
|25-29<br>252|<br>422|<br>986|<br>1715|<br>1698|<br>1773|<br>1790|<br>1789|
|30-34<br>235|<br>358|<br>800|<br>1564|<br>1782|<br>1801|<br>1796|<br>1788|
|35-39<br>217|<br>234|<br>676|<br>1396|<br>1833|<br>1817|<br>1790|<br>1782|
|40-44<br>185|<br>214|<br>537|<br>1227|<br>1843|<br>1790|<br>1770|<br>1775|
|45-49<br>141|<br>202|<br>425|<br>1063|<br>1773|<br>1708|<br>1751|<br>1770|
|50-54<br>111|<br>186|<br>354|<br>904|<br>1642|<br>1657|<br>1748|<br>1769|
|55-59<br>87|<br>154|<br>291|<br>711|<br>1464|<br>1712|<br>1755|<br>1758|
|60-64<br>69|<br>109|<br>178|<br>571|<br>1256|<br>1713|<br>1734|<br>1719|
|65-69<br>54|<br>76|<br>145|<br>415|<br>1031|<br>1636|<br>1638|<br>1638|
|70-74<br>40|<br>48|<br>112|<br>280|<br>790|<br>1428|<br>1440|<br>1501|
|75+<br>37|<br>43|<br>115|<br>291|<br>940|<br>2169|<br>2832|<br>3076|
|TOTAL<br>3821|<br>5889|<br>11914|<br>19220|<br>25014|<br>28131|<br>28972|<br>29296|
|BIRTH<br>RATE|50.4|41.5|25.7|16.9|14.0|13.1|12.8|
|DEATH<br>RATE|18.2|12.2|7.0|6.8|9.6|12.(!|12.4|
|NET MIGRATION<br>RATE|-2.9|-. 7|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|2.92|2.88|1.92|1.02|.44|.11|.05|
|TOTAL FERTILITY|7.060|5.462|3.016|2.087|2.059|2.00-1|2.040|
|e(O)- BOTH SEXES|48.62|55.08|64.77|72.36|75.53|77.79|78.38|
|IMR<br>- BOTH SEXES|161.7|119.0|62.1|22.0|13.4|8.0|7.2|
**138**

|KALRITANIA||proje|ction C000s) with HRR-I bY 2050|||||
|---|---|---|---|---|---|---|---|
|AGEGRLIP<br>1985<br>|199|**1999**|<br>**2000**<br>**2005**<br>2010|2015|2020|2025|<br>2030|
|TOTAL N*F<br>1764<br>|2001|2283|2634<br>**3068**<br>3543|4065|4640|526.3|5914|
|MALES<br> <br>|||<br>|||||
|0-4<br>I50<br> <br>|188|212|248<br>291<br>316|345|375|404|422|
|5-9<br>125<br> <br>|135<br>|172<br>|196<br>236<br>277<br> <br> <br>|302|331|362|391|
|10-14<br>110|120|131|168<br>193<br>230|272|297|326|358|
|15-19<br>99|107|117|128<br>164<br>190|<br>225|<br>267|<br>293|<br>322|
|20-24<br>75<br> <br>|89|101|<br>112<br>124<br>159|<br>1a5|<br>220|<br>261|<br>28?|
|25-29<br>**56**|68|83|96<br>1G8<br>119|<br>154|<br>179|<br>214|<br>255|
|30.34<br>49|51|63|79<br>92<br>103|<br>115|<br>149|<br>17|208|
|35-39<br>4444|7||_60_<br>75<br>88|99|III|144|<br>169|
|60-44<br>39<br>|40|41|4456<br>71<br>|8'|_99_|106|<br>139|
|45-49<br>34|35|37|**38**<br>41<br>53|67|80|<br>91|<br>_102_|
|50-54<br>29<br>|31|32|34<br>35<br>38|4'|63|<br>75|<br>85|
|55.59<br>23|26|28|29<br>30<br>31|34|45|<br>58|<br>69|
|60-64<br>18|20|23|24<br>25<br>26|27|30|<br>40|<br>51|
|65-69<br>11<br> <br>|14|16<br>|18<br>20<br>20|22|23|<br>25|<br>33|
|70-74<br>7|a|11|12<br>13<br>14|15|16|<br>17|<br>19|
|75+<br>6<br> <br>|7<br>|a<br>|10<br>II<br>13|14|16|<br>17|<br>19|
|TOTAL<br>871<br>|984|1122|1296<br>1513<br>1749|<br>2010|<br>2296|<br>2606|<br>2930|
|FEMALES<br>||||||||
|0-4<br>151|187|211|246<br>288<br>312|341|<br>371|399|<br>416|
|5-9<br>124<br> <br>|137<br>|172<br>|197<br>233<br>275<br>|300|<br>328|359|<br>388|
|10-14<br>108<br> <br>|119<br>|133<br>|168<br>193<br>229<br> <br>|270|<br>295|<br>324|<br>355|
|15-19<br>93|105|116|129<br>164<br>190|225|<br>266|291|<br>321|
|20-24<br>78<br> <br>|89|101|112<br>126<br>161|186|<br>221|262|<br>287|
|25-29<br>60<br> <br>|74<br>|85|97<br>109<br>122|156|<br>181|<br>216|<br>257|
|30-34<br>53|**56**|70|82<br>93<br>105|119|<br>152|<br>177|<br>212|
|35-39<br>46|50|53|67<br>78<br>90|101|<br>115|<br>148|<br>173|
|40-44<br>40|43<br>|68|51<br>64<br>75|86|98|III|144|
|45-49<br>35|**38**|41|45<br>48<br>60|72|83|94|<br>108|
|50-54<br>29<br> <br>|32<br>|35<br>|38<br>42<br>45|57|68|79|<br>90|
|55-59<br>24<br> <br>|27<br>|30<br>|32<br>35<br>39<br>|42|53|64|<br>75|
|60-64<br>20<br> <br>|21<br>|24<br>|26<br>29<br>32<br> <br> <br>|35|38|49|59|
|65-69<br>15<br> <br>|17<br>-<br>|1<br>|20<br>22<br>24|27|30|33|43|
|70-74<br>9<br>|11<br>|13|14<br>15<br>17|19|21|24|27|
|75.<br>a<br>TOTAL<br>893|10<br>1017|12<br>|13<br>15<br>17<br> <br> <br>|19<br>|22<br>|25<br>|<br>29<br>|
|<br>||1161|1338<br>1556<br>1793|2056|2344|2657|2984|
|BIRTH RATE<br>|47.8|46.6|46.3<br>45.8<br>42.5|39.9|37.6|35.2|32.3|
|DEATH RATE<br>|19.4<br>|18.3<br>|16.9<br>15.3<br>13.8<br>|12.4|11.2|10.0|9.0|
|RATE OF MAT. INC.|2.84|2.83|2.94<br>3.05<br>2.87|2.75|2.65|2.52|2.33|
|NETMIGRATION<br>RATE<br> <br>|-3.2<br>|-1.9|-. 8<br>.0<br>.0|.0|.0|.0|.0|
|GROWTH<br>RATE<br>|2.52|2.64|2.86<br>3.05<br>2.87|2.75|2.65|2.52|2.33|
|TOTAL FERTILITY<br>|6.500<br>|6.500|6.500<br>6.500<br>5.990|5.480|4.970|_4.460_|3.950|
|NRR<br> <br> <br>|2.205<br> <br> <br>|2.260<br>|2.343<br>2.433<br>2.297|2.154|2.002|1.842|1.671|
|e(0)- BOTH SEXES<br> <br> <br>|45.98<br> <br> <br>|47.27<br> <br>|48.82<br>50.58<br>52.24<br>|53.97|55.77|57.66|59.62|
|eClO)- BOTH SEXES<br> <br> <br>|50.46<br> <br> <br>|50.48<br>|50.42<br>50.50<br>51.57<br> <br>|52.68|53.83|55.03|56.28|
|_IMR_- BOTH SEXES<br> <br> <br>|126.9<br> <br> <br>|116.6<br>|104.1<br>90.5<br>84.1<br> <br> <br>|77.)<br>|71.2|64.8|58.4|
|qC5)- BOTH SEXES<br> <br>_DEP._RATIO<br>87.9|.2144<br> <br>91.2|.1954<br>94.4|.1716<br>.1465<br>.1353<br> <br>99.1<br>99.4<br>97.0|.1240<br> <br>91.7|.1127<br> <br>84.5|.1013<br> <br>78.6|.0898<br> <br>73.3|
139

# MAURITANIA

# Projectfon tO000) with NRRmi by 2050

# Sumiary for 25 Year Periods

|AGE GROuP<br>1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|..**....**<br>,<br>....**.**,........<br>......<br>...........|,0.............|...........|..................|..................................||||
|TOTAL<br>HF<br>1764|<br>2634|<br>5263|<br>8316|<br>10746|<br>11972|<br>12311|<br>12455|
|MALES<br> <br>|<br>|<br>|<br>|<br>||||
|0-4<br>150<br>|<br>248|<br>404|<br>382|<br>396|<br>400|<br>400|<br>400|
|5-9<br>125|<br>198|<br>362|<br>398|<br>401|<br>400|<br>399|<br>399|
|10-14<br>110|<br>168|<br>326|<br>409|<br>404|<br>398|<br>398|<br>398|
|15-19<br>95|128|<br>293|<br>410|<br>398|<br>394|<br>396|<br>398|
|20-24<br>75|<br>112|<br>261|<br>400|<br>381|<br>390|<br>395|<br>397|
|25-29<br>56|96|<br>214|<br>375|<br>373|<br>390|<br>396|<br>397|
|30-34<br>49|79|<br>174|<br>339|<br>388|394|<br>396|<br>395|
|35-39<br>44|60|<br>144|<br>302|<br>396|<br>396|<br>393|<br>393|
|40-u<br>39|44|<br>106|<br>266|<br>394|<br>388|<br>387|<br>390|
|45-49<br>34|38|91|233|379|368|380|387|
|50-54<br>29|34|<br>75|<br>185|<br>347|<br>353|<br>375|<br>382|
|55-59<br>23|29|<br>58|<br>142|<br>301|<br>355|<br>367|<br>371|
|60-64<br>18|<br>24|<br>40|<br>108|<br>249|<br>340|<br>349|<br>349|
|65-69<br>11<br>|<br>18|<br>25|<br>70|<br>195|<br>306|<br>311|<br>314|
|70-74<br>7<br> <br>|12<br>|<br>17<br>|<br>49|<br>141|<br>249|<br>252|<br>265|
|75+<br>6|10|<br>17|<br>45|<br>134|<br>307|<br>384|<br>416|
|TOTAL<br>871|<br>1296|<br>2606|<br>4113|<br>5275|<br>5827|<br>5980|<br>6051|
|FEMALES||||||||
|0-4<br>151|<br>246|<br>399|<br>377|<br>390|<br>392|<br>391|<br>391|
|5-9<br>124|<br>197|<br>359|<br>394|<br>395|<br>393|<br>391|<br>391|
|10-14<br>108|<br>168|<br>324|<br>406|<br>399|<br>392|<br>390|<br>390|
|15-19<br>93|129|<br>291|<br>408|<br>395|<br>389|<br>389|<br>390|
|20-24<br>78<br> <br>|112<br>|<br>262<br>|<br>400<br>|<br>380|<br>386|<br>389|<br>391|
|25-29<br>60|97|216|<br>376|<br>373|<br>388|<br>391|<br>391|
|30-34<br>53|82|177|<br>343|<br>389|<br>393|<br>393|<br>391|
|35-39<br>46|67|148|<br>307|<br>399|<br>397|<br>391|<br>390|
|40-44<br>40<br> <br>|51<br>|111<br>|<br>2(2|<br>400|<br>391|<br>387|<br>38B|
|45-49<br>35|45|94|240|<br>388|<br>374|<br>383|<br>387|
|50-54<br>29|38|79|194|<br>360|<br>364|<br>382|<br>387|
|55-59<br>24<br> <br>|32|64|154|<br>320|<br>374|<br>383|<br>384|
|60-64<br>20<br> <br>|26<br>|49|122|<br>275|<br>373|<br>378|<br>376|
|65-69<br>15<br> <br>|20|33|84|228|<br>354|<br>358|<br>358|
|70-74<br>9<br> <br>|14<br>|<br>24<br>|61<br>|178<br>|<br>312<br>|<br>315<br>|<br>328<br>|
|75+<br>8|13|25|66|200|474|618|671|
|TOTAL<br>893|1338|2657|4203|5470|6145|6331|6404|
|BIRTH RATE<br> <br>|46.8<br>|39.5|25.2|16.9|14.0|13.1|12.8|
|DEATH<br>RATE|18.1|12.2|7.3|6.8.|9.7|12.0|12.4|
|NETMIGRATION<br>RATE|-1.9|.0|.0|.0|.0|.0|.C|
|GROWTH<br>RATE|2.67|2.77|1.83|1.03|.43|.11|.05|
|TOTAL<br>FERTILITY<br>|6.503<br>|5.317<br>|2.937<br>|2.090<br>|2.060<br>|2.041|2.040|
|etO)- BOTH SEXES|47.48|54.53|64.31|72.17|75.42|77.75|78.36|
|IHRBOTH SEXES|115.0|76.7|46.0|22.7|13.7|8.0|7.2|
140

|NIGER<br>...<br>..<br>**..**<br>..<br>..<br>..|..|..<br>..<br>...|Pro<br>..<br>..<br>..<br>..|jection<br>(0OO<br>..<br>..<br>..<br>..|s)<br> <br>..|<br>with NRR=<br>..<br>...|1 b<br>.|#2060<br>..<br>..<br>..<br>|..|..<br>..<br>..<br>|..|...<br>..<br>..|..<br>..<br>..<br>..|..<br>..<br>..<br>..|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|AGE GROW.P<br>1985||1990|<br>1995|<br>2000||2005||2010||2015||2020|2025|<br>2030|
|TOTAL**N+F**<br>6573||7659|8938|10525||12519||14748||17254||20083|23258|<br>26733|
|MALES|||||||||||||||
|0-4<br>640||751|871|1050||1279||1425||1588||7m|<br>1974|<br>2148|
|5-9<br>484||579|688|809||988||1211||1356||1520|1708|<br>1909|
|10-14<br>387||469|562|670||791||968||1188||1334|<br>1497|<br>1686|
|15-19<br>331||377|457|549||655||m||950||1168|1313|<br>1477|
|20-24<br>280||320|364|442||531||636||753||926|1142|<br>1287|
|25-29<br>235||268|<br>307|349||423||511||614||730|<br>900|1114|
|30-34<br>195||224|257|294||334||406||492||593|<br>708|<br>876|
|35-39<br>164||186|<br>214|244||279||319||390||474|573|<br>687|
|40-44<br>135||155|<br>176|202||231||265||304||373|<br>455|553|
|45-49<br>110||126|144|164||188||216||250||287|354|435|
|50-54<br>88||101|<br>116|132||150||174||200||232|<br>269|334|
|55-59<br>70||79|91|103||118||135||157||182|213|<br>247|
|60-64<br>52||60|68|78||89||102||1l8||137|<br>161|188|
|65-69<br>36||42|49|55||63||72||84||97|114|134|
|70-74<br>22||26|31|35||40||46||53||63|73|<br>87|
|75+<br>17||20|24|28||32||38||44||52|62|74|
|TOTAL<br>3246||3784|4418|5205||6193||7299||8541||9944|11517|13238|
|**FEHALES**|||||||||||||||
|0-4<br>640||749|866|1041||1265||1409||1570||1754|1951|<br>2123|
|5-9<br>488||582|689|808||985||1204||1348||1510|1696|1896|
|I0-14<br>395||473|<br>565|672||791||966||1183||1328|<br>1490|1678|
|15-19<br>336||385|461|553||659||777||951||1166|1311|1474|
|20-24<br>285||327|374|449||539||644||761||933|1147|1293|
|25-29<br>241||275|316|363||436||524||628||744|915|1128|
|30.34<br>201||231|265|305||350||422||509||611|<br>727|896|
|35-39<br>167||192|<br>222|254||293||337||407||493|<br>595|<br>710|
|40-44<br>139||158|<br>183|211||243||280||324||393|478|579|
|45-49<br>-115||131|150|<br>173||201||231||268||311|379|463|
|50-54<br>95||108|123|141||163||189||219||255|298|364|
|55-59<br>77||87|99|114||130||151||177||205|240|281|
|60-64<br>60||68|-<br>77|88||101||117||136||160|<br>188|221|
|65-69<br>42||50|57|65||74||86||100||118|140|165|
|70-74<br>27||32|38|44||50||58||68||80|95|<br>114|
|75+<br>22||26|32|39||46||53||63||76|91|111|
|TOTAL<br>3327||3875|4520|5320||6325||7449||8713||10139|11741|13495|
|BIRTH RATE||51.0|49.6|49.8||50.1||46.7||43.9||41.7|39.5|36.9|
|DEATHRATE||20.4|18.7|17.1||15.4||13.9||12.5||11.3|<br>10.2|9.1|
|RATE OF NAT. INC.||3.06|3.09|3.27||3.47||3.28||3.14||3.04|2.94|2.79|
|NET MIGRATION<br>RATE||.0|.0|.0||.0||.0||.0||.0|.0|.0|
|GROWTH<br>RATE||3.06|3.09|3.27||3.47||3.28||3.14||3.04|2.94|2.79|
|TOTAL FERTILITY|7|.000|7.083|7.165|7|.247||6.737|6|.227||5.717|5.208|4.698|
|NRR|2|.315|2.422|2.554|2|.697|2|.570|2|.435||2.292|2.141|1.980|
|e(O)- BOTH SEXES|4|4.55|46.25|48.11|5|0.15||51.83|5|3.58||55.41|57.31|59.30|
|eC1O)- BOTHSEXES|4|9.76|50.03|50.21|5|0.48|5|1.55|5|2.65||53.80|54.99|56.22|
|IMR**-** BOTH SEXES|1|34.9|122.1|108.3||93.9||87.2||80.5||73.8|67.2|60.5|
|q(5)- BOTHSEXES|.|2281|.2055|.1796|.|1526|.|1410|.|1292||.1174|.1055|.0935|
|<br>DEP. RATIO<br>94.8||98.4|100.2|102.1||104.|8|104.|5|<br>100.5||93.5|88.1|83.0|
1'1 ProJection (000O) with NRR-1 by 2060 NIGER

# Summary for 25 Year Periods

|AGE GROJP<br>1985|2000|2025|2050|2075|2100|2125|<br>2150|
|---|---|---|---|---|---|---|---|
|...............<br>.|...............|..........|.........................................|||||
|TOTALN+F<br>6573|10525|23258|41709|57571|67310|70478|<br>71368|
|MALES||||||||
|0-4<br>640|1050|1974|2358|2320|2288|2285|<br>2288|
|5-9<br>484|809|1708|2332|2280|2266|2278|<br>2286|
|10-14<br>387|670|1497|2279|2200|2253|2279|<br>2286|
|15-19<br>331|549|1313|2190|2179|2261|2283|<br>2284|
|20-24<br>280|442|1142|2034|2271|2282|2281|2277|
|25-29<br>235|349|900|1826|2298|2283|2267|2266|
|30-34<br>195|294|708|1597|2270|2242|2241|<br>2256|
|35-39<br>164|244|573|1383|2204|2154|2222|2251|
|40-44<br>135|202|455|1190|2099|2121|2221|2248|
|45-49<br>110|164|354|1012|1924|2190|2225|2230|
|50-54<br>as|132|269|773|1685|2175|2192|2184|
|55-59<br>70|<br>103|<br>213|<br>576|<br>1411|<br>2073|<br>2087|<br>2098|
|60-64<br>52|<br>78|<br>161|<br>428|<br>1135|<br>1892|<br>1898|<br>1973|
|65-69<br>36|<br>55|<br>114|<br>297|<br>868|<br>1625|<br>1701|<br>1802|
|70-74<br>22|<br>35|<br>73|<br>188|<br>610|<br>1257|<br>1500|<br>1550|
|75+<br>17|<br>28|<br>62|<br>162|<br>546|<br>1448|<br>2246|<br>2378|
|TOTAL<br>3246|<br>5205|<br>11517|<br>206c4|<br>28299|<br>32808|<br>34207|<br>34657|
|FEMALES||||||||
|0-4<br>640|1041|1951|2330|2284|2244|2237|2237|
|5-9<br>488|_'08_|1696|2314|2254|2228|2233|2238|
|10-14<br>395|<br>672|<br>1490|<br>2266|<br>2180|<br>2219|<br>2236|<br>2240|
|15-19<br>336|<br>553|<br>1311|<br>2183|<br>2166|<br>2233|<br>2244|<br>2241|
|20-24<br>285|<br>449|<br>1147|<br>2038|<br>2269|<br>2263|<br>2248|<br>2240|
|25-29<br>241|<br>363|<br>915|<br>1840|<br>2305|<br>2274|<br>2241|<br>2235|
|30-34<br>201|<br>305|<br>727|<br>1619|<br>2288|<br>2242|<br>2224|<br>2231|
|35-39<br>167|<br>254|<br>595|<br>1410|<br>2232|<br>2165|<br>2213|<br>2232|
|40"44<br>139|<br>211|<br>478|<br>1224|<br>2138|<br>2145|<br>2224|<br>2237|
|45-49<br>115|<br>173|<br>379|<br>1054|<br>1978|<br>2234|<br>2245|<br>'2235|
|50-54<br>95|<br>141|<br>298|<br>822|<br>1760|<br>2249|<br>2242|<br>2215|
|55-59<br>77|<br>114|<br>240|<br>632|<br>1512|<br>2195|<br>2184|<br>2176|
|60-64<br>60|88|<br>18U|<br>492|<br>1266|<br>2082|<br>2064|<br>2125|
|65-69<br>42|65|<br>140|<br>362|<br>1025|<br>1894|<br>1961|<br>2057|
|70-74<br>27|44|<br>95|<br>247|<br>780|<br>1588|<br>1881|<br>1924|
|75+<br>22|<br>39|<br>91|<br>251|<br>836|<br>2249|<br>3593|<br>3848|
|TOTAL<br>3327|5320|11741|21084|29273|34502|36271|<br>36711|
|BIRTH RATE|50.1|43.6|29.9|18.5|14.6|13.2|12.9|
|DEATH RATE|18.6|12.3|7.0|5.8|8.4|11.3|12.4|
|NET MIGRATION RATE|.0|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|3.14|3.17|2.34|1.29|.63|.18|.05|
|TOTAL FERTILITY|7.087|6.047|3.598|2.181|2.060|2.042|2.040|
|e(O)- BOTH SEXES|46.49|54.21|64.15|72.00|75.33|77.70|78.33|
|IMR- BOTH SEXES|120.5|79.2|46.9|23.3|14.1|8.1|7.3|
142 SENEGAL Projection **(OOOs)** with **NRR-1 by** 2045

|.......<br>......<br>..............<br>**AGEGROUP**<br>1985||..<br><br>1990|.<br>.<br>.<br>.<br>.<br>.<br>1995|.<br>.<br>..<br>.<br>..<br> <br>2000|.<br>|.<br>.<br>..<br>2005|..<br>|.<br>.<br>..<br>2010|.<br>.<br>.<br>.<br>.<br>.<br> <br>2015|.<br>.<br>.<br>.<br>.<br>.<br> <br>2020|.<br>.<br>.<br>.<br>..<br> <br>2025|.<br>.<br>.<br>..<br>.<br> <br>2030|
|---|---|---|---|---|---|---|---|---|---|---|---|---|
|<br> <br>.................<br>................|........|<br>..................||<br>|||<br>....|<br>_..........|<br> <br>................|<br>|<br>|<br>|
|TOTAL**H+F**<br>6567||7593|8852|10372||12012||13767|<br>15652|<br>17676|<br>19793|<br>21902|
|MALES|||||||||||||
|0-4<br>626||676|821|964||1077||1153|<br>1237|<br>1326|<br>1392|<br>1407|
|5-9<br>493||572|623|767||929||1022|<br>1101|<br>1187|<br>1278|<br>1349|
|10-14<br>413||479|557|609||751||912|<br>1004|<br>1084|<br>1171|<br>1263|
|15-19<br>328||406|470|546||597||737|<br>897|990|1070|<br>1157|
|20-24<br>273||323|397|458||532||582|<br>721|878|971|<br>1052|
|25-29<br>229||271|317|386||443||515|<br>566|702|<br>858|<br>952|
|30-34<br>193||227|265|308||373||429|<br>500|551|<br>685|<br>840|
|35-39<br>160||190|222|257||296||359|<br>415|485|536|<br>669|
|40-44<br>133||156|l83|212||245||283|<br>346|400|470|<br>521|
|45-49<br>110||127|149|174||201||233|<br>270|330|384|<br>453|
|50-54<br>90||104|119|139||162||188|<br>219|255|<br>313|<br>365|
|55-59<br>71||83|95|109||127||148|<br>173|<br>202|236|<br>291|
|60-64<br>55||63|73|84||96||112|<br>132|154|<br>181|<br>212|
|65-69<br>38||46|53|61||70||80|94|1I1|131|<br>154|
|70-74<br>25||29|35|40||46||53|61|73|87|<br>102|
|75.<br>21||25|30|35||41||47|55|65|78|<br>93|
|TOTAL<br>3258||3777|4409|5168||5983||6855|<br>7790|<br>8793|9840|<br>10881|
|FEMALES|||||||||||||
|0-4<br>615||672|816|975||1064||1140|<br>1222|<br>1309|<br>1373|<br>1388|
|5-9<br>487||565|623|765||926||1015|<br>1093|<br>1178|<br>1268|<br>1337|
|10-14<br>419||473|551|609||750||909|<br>999|<br>1077|<br>1163|<br>1255|
|15-19<br>335||411|464|541||598||738|<br>86|986|1065|<br>1152|
|20-24<br>279||329|403|455||529||587|<br>725|882|972|<br>1052|
|25-29<br>233||274|322|393||443||516|<br>574|711|867|<br>958|
|30-34<br>196||228|267|313||382||430|<br>503|561|697|<br>852|
|35-39<br>163||191|221|258||302||369|<br>418|490|548|<br>683|
|40-44<br>136||157|184|212||248||291|<br>357|405|477|<br>535|
|45-49<br>1II||130|150|176||203||238|<br>280|345|393|<br>464|
|50-54<br>94||105|<br>123|142||166||193|<br>227|268|331|378|
|55-59<br>77||88|98|115||133||155|<br>181|214|254|<br>314|
|60-64<br>61||70|79|88||104||120|<br>142|166|197|<br>235|
|65-69<br>47||52|.<br>60|68||75||89|104|124|146|<br>175|
|70-74<br>30||37|41|47||53||60|72|<br>84|101|<br>120|
|75+<br>27||33|40|46||53||61|70|<br>83|100|<br>122|
|TOTAL<br>3309||3816|4443|5204||6028||6912|<br>7862|8883|9953|11022|
|BIRTH<br>RATE||45.5|46.8|47.0||43.2||39.8|37.0|34.7|32.1|28.8|
|DEATH RATE||17.8|16.8|15.6||13.8||12.5|11.3|10.3|9.4|8.6|
|RATE OFHAT.INC.||2.76|3.00|3.14||2.94||2.73|2.57|2.43|2.26|2.03|
|NET MIGRATION<br>RATE||1.4|.7|.3||.0||.0|.0|.0|.0|.0|
|GROWTH<br>RATE||2.90|3.07|3.17||2.94||2.73|2.57|2.43|2.26|2.03|
|TOTAL FERTILITY|6|.500|6.500|6.503|5|.990|5|.480|4.970|4.460|3.950|3.440|
|NRR|2|.215|2.292|2.376|2|.274|2|.131|1.979|1.819|1.649|1.471|
|**eCO)**<br>**-** BOTH SEXES|4|7.59|49.02|50.68|5|2.52|5|4.14|55.82|57.56|59.37|61.25|
|**e(O)-** BOTH SEXES|5|2.77|52.86|52.81|5|2.90|5|3.85|54.83|55.84|56.89|57.97|
|IMR**-** BOTH SEXES|1|27.9|117.2|104.5||90.9||84.2|77.4|70.6|63.8|57.0|
|q(5)-BOTH SEXES||2162|1965|1724||1473||1356|1239|1121|_1002_|0883|
|<br>DEP. RATIO<br>97.4|.|<br>93.1|.<br>92.4|.<br> <br>93.3|<br>|<br>94.4|.<br>|<br>90.5|.<br> <br>83.3|.<br>77.2|_._<br> <br>72.V|.<br> <br>66.7|
143

# SENEGAL

# Projectfon (000s) with NRRuI by 2045

# Sumuary for 25 Year Periods

|...............................................................<br>AGEGRCUP<br>1985|2000|<br>2025|<br>2050|........................<br> <br>2075|.......................................<br> <br>2100|.............................<br> <br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|,.........................................................................|.................................||||||.....|
|TOTAL MF<br>6567|10372|<br>19793|<br>29256|<br>36463|<br>39682|<br>40617|<br>41016|
|MALES||||||||
|0-4<br>626|964|1392|<br>1283|<br>1298|<br>1310|<br>1314|<br>1315|
|5-9<br>493|767|1278|<br>1251|<br>1300|<br>1312|<br>1314|<br>1313|
|10-14<br>413|609|1171|<br>1306|<br>1316|<br>1314|<br>1312|<br>1311|
|15-19<br>328|<br>546|<br>1070|<br>1342|<br>1322|<br>1307|<br>1306|<br>1308|
|20-24<br>273|458|971|1340|<br>1297|<br>1292|<br>1300|<br>1305|
|25-29<br>229|386|858|1298|<br>1255|<br>4'80|1298|<br>1303|
|30-34<br>193|308|685|1208|<br>1222|<br>l;.A|)<br>1299|<br>1301|
|35-39<br>160|<br>257|<br>536|<br>1096|<br>1269|<br>'291|<br>1297|<br>1296|
|40-44<br>133|<br>212|<br>470|<br>986|<br>1294|<br>129G|<br>1285|<br>1287|
|65-49<br>110|<br>174|<br>384|<br>879|<br>1276|<br>1255|<br>1261|<br>1272|
|50-54<br>90|139|<br>313|755|<br>1209|<br>1193|<br>1230|<br>1251|
|55-59<br>71|109|236|574|<br>1079|<br>1122|<br>1194|<br>1217|
|60-64<br>55|<br>84|<br>181|<br>415|<br>912|<br>1097|<br>1141|<br>1153|
|65-69<br>38|<br>61|<br>131|<br>321|<br>732|<br>1011|<br>1039|<br>1045|
|70-74<br>25|40|87|215|<br>543|845|<br>865|<br>882|
|75+<br>21|35|78|202|<br>560|1110|<br>1281|<br>1371|
|TOTAL<br>3258|5168|<br>9840|<br>14469|<br>17883|<br>19309|<br>19735|<br>19932|
|FEMALES||||||||
|0-4<br>615|975|1373|<br>1264|<br>1275|<br>1283|<br>1286|<br>1286|
|5-9<br>487|<br>765|<br>1268|<br>1237|<br>1281|<br>1288|<br>1287|<br>1285|
|10-14<br>419|<br>609|<br>1163|<br>1294|<br>1300|<br>1292|<br>1286|<br>1285|
|15-19<br>335|541|1065|<br>1334|<br>1309|<br>1289|<br>1283|<br>1284|
|20-24<br>279|455|972|1337|<br>1290|<br>1278|<br>1280|<br>1284|
|25-29<br>233|393|867|1302|<br>1253|<br>1270|<br>1282|<br>1285|
|30-34<br>196|313|697|1217|<br>1225|<br>1276|<br>1286|<br>1286|
|35-39<br>163|<br>258|<br>548|<br>1109|<br>1278|<br>1292|<br>1289|<br>1284|
|40-44<br>136|<br>212|<br>477|<br>1004|<br>1310|<br>1298|<br>1284|<br>1279|
|45-49<br>111|<br>176|<br>393|<br>904|<br>1302|<br>1272|<br>1269|<br>1273|
|50-54<br>94|<br>142|<br>331|<br>789|<br>1251|<br>1225|<br>1253|<br>1267|
|55-59<br>77|115|<br>254|615|<br>1143|<br>1179|<br>1244|<br>1259|
|60-64<br>61|<br>88|<br>197|<br>461|<br>1003|<br>1197|<br>1233|<br>1239|
|65-69<br>47|68|146|<br>370|<br>850|1167|<br>1190|<br>1188|
|70-74<br>30|<br>47|<br>101|<br>263|<br>679|<br>1055|<br>1075|<br>1089|
|75+<br>27|46|100|<br>286|<br>829|1713|<br>2054|<br>2212|
|TOTAL<br>3309|<br>5204|<br>9953|<br>14787|<br>18580|<br>20373|<br>20882|<br>21084|
|BIRTH<br>RATE|46.5|36.6|22.6|16.1|13.7|13.0|12.8|
|DEATH<br>RATE|16.6|11.2|7.3|7.4.|10.4|12.1|12.4|
|NET MIGRATION<br>RATE|.8|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|3.05|2.58|1.56|.88|.34|.09|.04|
|TOTAL<br>FERTILITY|6.502|4.813|2.626|2.081|2.056|2.041|2.040|
|eCO)-BOTH SEXES|49.26|56.32|65.61|72.92|75.83|77.90|78.44|
|I[R- BOTH SEXES|115.2|76.6|44.0|20.1|12.6|7.8|7.1|

........ **...** .............. **......** ..
# SOUTHERN AFRICA

# DEPARTMENT (AF6)
146

|BOTSWANA<br>....................................................................|........|Proj|ection (OOs)|withNARUIb|y2010<br>..........................|........................................|............................|.............||
|---|---|---|---|---|---|---|---|---|---|
|AGEGROLUP<br>1985|<br>1990|<br>1995|<br>2000|2005|2010|2015|2020|<br>2025|<br>2030|
|....................................................................|......................................|........................||||||||
|TOTALN+F<br>1070|<br>1212|<br>1358|<br>1514|1675|1824|1965|2102|<br>2233|<br>2355|
|MALES||||||||||
|0-4<br>104|<br>85|<br>88|<br>93|96|92|90|91|<br>91|<br>92|
|5.9<br>83|103|85|87|92|95|92|90|90|91|
|10-14<br>71|<br>83|<br>103|<br>85|87|92|95|91|89|90|
|15-19<br>55|<br>71|82|103|84|87|92|95|<br>91|<br>89|
|20-24<br>42|55|70|82|102|84|86|91|94|<br>91|
|25-29<br>30|42|54|70|81|101|83|<br>86|91|94|
|30-34<br>24|30|41|54|69|81|101|83|86|<br>91|
|35-39<br>20|24|29|41|53|69|80|100|83|<br>85|
|<br> <br>40-44<br>16|<br> <br>20|<br> <br>23|<br>29|<br>40|<br>53|<br>68|<br>80|<br>99|<br><br>82|
|45-49<br>14|<br>16|<br>19|<br>23|28|40|52|67|<br>78|<br>98|
|5O-54<br>12|<br>13|<br>15|<br>19|22|28|39|so|<br>65|<br>77|
|55-59<br>10|<br>11|<br>13|<br>14|18|21|26|37|<br>48|<br>63|
|60-64<br>9|9|<br>10|<br>12|13|16|20|25|34|45|
|65-69<br>7|8|<br>8|<br>9|10|12|14|17|<br>22|<br>31|
|70-74<br>5|6|<br>6|<br>6|7|8|9|12|<br>14|<br>18|
|75+<br>5|6|<br>6|<br>7|8|9|10|12|<br>1S|<br>18|
|TOTAL<br>508|<br>580|<br>654|<br>732|8|887|958|1027|<br>1092|<br>1154|
|FEMALES||||||||||
|0-4<br>104|<br>84|<br>86|<br>90|93|90|88|88|<br>89|<br>90|
|5-9<br>85|<br>103|<br>83|<br>86|90|93|90|88|<br>88|<br>89|
|10-14<br>71|<br>85|<br>103|<br>83|85|90|93|90|<br>88|<br>88|
|15-19<br>58|71|<br>85|<br>103|83|85|90|93|<br>89|<br>88|
|20-24<br>48|<br>58|<br>71|<br>84|103|83|85|90|<br>93|<br>89|
|25-29<br>42|<br>48|<br>57|<br>70|84|103|83|85|<br>90|<br>93|
|30-34<br>34|<br>42|<br>47|<br>57|70|84|102|83|<br>85|<br>90|
|35-39<br>25|<br>34|<br>41|<br>47|57|70|84|102|<br>82|<br>85|
|40-44<br>19|<br>25|<br>33|<br>41|47|57|69|83|<br>102|<br>82|
|45-49<br>17|<br>'9|<br>24|<br>33|41|46|56|69|<br>83|<br>101|
|50-54<br>14|<br>17'|<br>18|<br>24|32|40|46|55|<br>68|<br>82|
|55-59<br>12|<br>_13_|<br>16|<br>18|23|31|39|45|<br>54|<br>67|
|60-64<br>10|<br>11|<br>-<br>13|<br>15|17|22|30|37|<br>43|<br>52|
|65-69<br>8|9|<br>10|<br>12|14|16|21|28|<br>35|<br>41|
|70-74<br>6|7|<br>8|<br>9|10|12|14|18|<br>25|<br>31|
|75+<br>8|8|9|<br>10|12|15|18|21|<br>26|<br>35|
|TOTAL<br>562|<br>632|<br>705|<br>782|862|937|1007|1075|<br>1140|<br>1202|
|BIRTH RATE|30.9|27.8|26.1|24.1|21.1|19.1<br>|17.9|16.9|16.1|
|DEATH RATE|6.0|5.0|4.4|4.0|4.0|4.2|4.4|4.8|5.3|
|RATE OF NAT. INC.|2.49|2.28|2.17|2.02|1.71|1.49<br>|1.35|1.21|1.07|
|NET MIGRATION<br>RATE|0|0|0|0|0|0|0|0|0|
|<br> <br>GROWTH<br>RATE|.<br>2.49|.<br>2.28|.<br>2.17|.<br>2.02|.<br>1.71|.<br>1.49<br>|.<br>1.34|.<br>1.21|.<br>1.07|
|TOTAL FERTILITY|4.400|3.350|2.908<br>2|.524<br>2|.191<br>|2.070<br>2|.066|2.063|2.059|
|NRR|2.014|1.579|1.389<br>|1.215<br>1|.056<br>|1.000<br>1|.000|1.000|1.000|
|e(O)- BOTH SEXES|67.45|69.74|71.63<br>|73.22<br>7|3.66<br>|74.11<br>7|4.57|75.03|75.50|
|e(1O)- BOTH SEXES|60.92|62.13|63.4S<br>6|4.67<br>6|5.04<br>6|5.42<br>6|5.80|66.19|66.59|
|IMR - BOTH SEXES|36.9|2'6.0|19.9|15.9|15.1|14.3<br>|13.4|12.6|11.8|
|q(5) -BOTH SEXES|0457|0310|0231<br>|0182<br>|0173<br>|0163<br>|0153|0143|0133|
|<br>DEP. RATIO<br>109.0|.<br> <br>93.7|.<br>77.9|.<br> <br> <br>6'.6|<br>.<br>56.7|<br>.<br>52.0|<br>.<br>47.5|<br>44.3|.<br>43.2|.<br> <br>43.5|
147 Projection (0009) with NRR-1 by 2010

# BOTSUANA

Sumnry for 25 Year Periods

|AGE GROJP<br>1985|2000|2025|<br>2050|<br>2075|2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|..........................................................................|...............................|||||||
|TOTAL<br>M+F<br>1070|1514|<br>2233|<br>2709|<br>2832|2855|<br>2865|<br>2869|
|MALES||||||||
|0-4<br>104|93|91|91|91|91|91|<br>91|
|5-9<br>83|87|90|91|91|91|91|<br>91|
|10-14<br>71|85|89|91|91|91|91|<br>91|
|15-19<br>55|103|91|91|91|91|91|<br>91|
|20-24<br>42|82|94|91|<br>91|<br>91|<br>91|<br>91|
|25-29<br>30|<br>70|<br>91|<br>90|<br>90|<br>90|<br>91|<br>91|
|30-34<br>24|<br>54|<br>86|<br>89|<br>90|<br>90|<br>90|<br>90|
|35-39<br>20|<br>41|<br>83|<br>88|<br>90|<br>90|<br>90|<br>90|
|40-44<br>16|<br>29|<br>99|<br>89|<br>90|<br>90|<br>90|<br>90|
|45-49<br>14|23|78|92|89|89|89|<br>89|
|50-54<br>12|<br>19|<br>65|<br>87|<br>87|<br>87|<br>87|<br>88|
|55-59<br>10|<br>14|<br>48|<br>79|<br>33|<br>84|<br>85|<br>85|
|60-64<br>9|<br>12|<br>34|<br>72|<br>78|<br>80|<br>81|<br>81|
|65-69<br>7|<br>9|<br>22|<br>78|<br>72|<br>73|<br>74|<br>74|
|70-74<br>5|<br>6|<br>14|<br>53|<br>64|<br>63|<br>63|<br>63|
|75+<br>5|7|15|<br>54|92|<br>97|99|<br>100|
|TOTAL<br>508|732|1092|<br>1326|<br>1380|<br>1389|<br>1393|<br>1395|
|FEMALES||||||||
|0-4<br>104|<br>90|<br>89|<br>89|<br>89|<br>89|<br>89|<br>89|
|5-9<br>85|<br>86|<br>88|<br>89|<br>89|<br>89|<br>89|<br>89|
|10-14<br>71|<br>83|<br>88|<br>89|<br>89|<br>89|<br>89|<br>89|
|15-19<br>58|<br>103|<br>89|<br>90|<br>89|<br>89|<br>89|<br>89|
|20-24<br>48|<br>84|<br>93|<br>90|<br>89|<br>89|<br>89|<br>89|
|25-29<br>42|70|90|89|<br>89|<br>89|<br>89|<br>89|
|30-34<br>34|57|<br>85|<br>88|<br>89|<br>89|<br>89|<br>89|
|35-39<br>25|<br>47|<br>82|<br>87|<br>89|<br>89|<br>89|<br>89|
|40-44<br>19|<br>41|<br>102|<br>89|<br>89|<br>89|<br>89|<br>89|
|45-49<br>17|<br>33|<br>83|<br>92|<br>89|<br>89|<br>89|<br>89|
|50-54<br>14|<br>24|<br>68|<br>88|<br>88|<br>88|<br>88|<br>88|
|55-59<br>12|<br>18|<br>54|<br>82|<br>86|<br>87|<br>87|<br>88|
|60-64<br>10|<br>15|<br>43|<br>78|<br>83|<br>86|<br>86|<br>86|
|65-69<br>8|<br>12|<br>35|<br>91|<br>82|<br>83|<br>83|<br>83|
|70-74<br>6|9|<br>25|<br>68|<br>78|<br>77|<br>77|<br>77|
|75+<br>8|<br>10|<br>26|<br>86|<br>144|155|<br>160|<br>161|
|TOTAL<br>562|<br>782|<br>1140|<br>1383|<br>1452|<br>1466|<br>1472|<br>1474|
|BIRTH<br>RATE|28.1|19.5|14.6|13.0|12.8|12.7|12.7|
|DEATH<br>RATE|5.0|4.3|7.0|11.3.|12.5|12.6|12.6|
|NET MIGRATION<br>RATE|.0|.0|.0|.0|.0|.0|.0|
|GROWTN<br>RATE|2.31|1.55|.77|.18|.03|.01|.01|
|TOTAL FERTILITY|3.448|2.172|2.052|2.041|2.039|2.038|2.038|
|e(O)- BOTH SEXES|69.77|74.19|76.52|78.17|78.62|78.93|79.01|
|IHR- BOTH SEXES|27.4|14.3|10.1|7.4|6.8|6.4|6.3|
148

|LESOTHO||Proje|ction (000s|)|wIthNRR-|l b|y2030|||||
|---|---|---|---|---|---|---|---|---|---|---|---|
|AGE GROUP<br>1985|1990|<br>1995|<br>2000||2005||2010|<br>2015|2020|2025|<br>2030|
|TOTALM+F<br>1545|1764|<br>2006|<br>2265||2541||2827|<br>3111|3392|3657|<br>3897|
|MALES||||||||||||
|0-4<br>129|150|1a3|<br>173||183||190|<br>191|192|<br>188|<br>180|
|5-9<br>104|123|145|158||169||180|<br>187|188|<br>190|<br>186|
|10-14<br>88|103|121|143||157||168|<br>179|186|<br>187|<br>189|
|15-19<br>74|87|101|120||142||156|<br>167|177|<br>185|<br>186|
|20-24<br>63|72|8S|<br>99||118||140|<br>154|165|<br>176|<br>183|
|25-29<br>55|61|70|83||97||116|<br>138|152|<br> <br>163|<br><br> <br>174|
|30-34<br>46|53|58|68||80||95|114|136|<br>150|<br>161|
|35-39<br>38|44|51|57||66||79|<br>93|112|<br>134|<br>148|
|40-44<br>33|36|42|49||55||64|77|91|110|<br>131|
|45-49<br>29|<br>31|<br>34|<br>40||47||53|<br>62|<br>V4|<br>89|<br>107|
|50-54<br>25|<br>27|<br>29|<br>32||38||45|<br>50|<br>59|<br>71|<br>85|
|55-59<br>21|<br>23|<br>25|<br>27||30||35|<br>41|<br>47|<br>55|<br>67|
|-M-64<br>17|<br>18|<br>20|<br>22||24||27|<br>32|<br>37|<br>42|<br>50|
|65-69<br>13|<br>14|<br>15|<br>17||18||20|<br>23|<br>27|<br>32|<br>37|
|70-74<br>9|<br>10|<br>11|<br>12||13||14|<br>16|<br>18|<br>21|<br>25|
|75+<br>8|<br>9|10|<br>11||13||14|<br>16|<br>18|<br>20|<br>24|
|TOTAL<br>754|<br>862|<br>982|<br>1112||1251||1395|<br>1539|<br>1680|<br>1813|<br>1933|
|FEKALES||||||||||||
|0-4<br>130|<br>149|<br>161|<br>171||181||187|<br>188|<br>189|<br>185|<br>176|
|5-9<br>105|<br>125|<br>144|<br>157||168||178|<br>184|<br>186|<br>187|<br>183|
|10-14<br>90|<br>104|<br>123|<br>142||156||166|<br>177|<br>184|<br>185|<br>186|
|15-19<br>77|89|103|<br>122||141||155|<br>165|<br>176|<br>183|<br>184|
|20-24<br>66|<br>75|<br>87|<br>101||120||139|<br>153|<br>164|<br>174|<br>181|
|25-29<br>**58**|64|<br>73|<br>85||99||118|<br>137|<br>151|<br>162|<br>173|
|30-34<br>50|<br>56|63|<br>71||83||97|<br>116|<br>135|<br>149|<br>160|
|35-39<br>40|<br>48|<br>55|<br>61||70||82|<br>95|<br>115|<br>133|<br>147|
|40-44<br>35|<br>39|<br>47|<br>53||60||68|<br>80|<br>93|<br>113|<br>131|
|<br> <br>45-49<br>32|<br> <br> <br>34|<br> <br> <br>38|<br> <br> <br>45|<br>|<br>51|<br>|<br>**58**|<br> <br>66|<br> <br> <br>78|<br> <br> <br>91|<br><br> <br>110|
|50-54<br>28|<br>31|<br>32|<br>36||43||49|<br>56|<br>64|<br>75|<br>89|
|55-59<br>24|<br>26|<br>29|<br>30||34||41|<br>47|<br>53|<br>61|<br>72|
|60-64<br>20|<br>22|<br>24|<br>26||28||31|<br>38|<br>43|<br>49|<br>57|
|65-69<br>16|<br>17|<br>19|<br>21||23||24|<br>27|<br>33|<br>39|<br>45|
|70-74<br>10|<br>12|<br>14|<br>15||17||18|<br>20|<br>23|<br>28|<br>33|
|75+<br>10|<br>12|<br>14|<br>16||18||20|<br>23|<br>26|<br>29|<br>36|
|TOTAL<br>791|<br>903|<br>1024|<br>1153||1290||1432|<br>1573|<br>1712|<br>1844|<br>1965|
|BIRTH RATE|41.0|38.4|35.3||32.7||30.1|27.2|24.8|22.2|19.7|
|DEATH RATE|13.3|11.8|10.5||9.3||8.6|8.0|7.6|7.2|7.0|
|RATE OFNAT. INC.|2.77|2.65|2.48||2.33||2.15|1.92|1.73|1.50|1.28|
|NET MIGRATION<br>RATE|-12|-8|-6||-3||-1|0|0|0|0|
|<br> <br>GROWTH<br>RATE|.<br>2.65|.<br>2.57|.<br>2.43||.<br>2.30||.<br>2.13|.<br>1.92|.<br>1.73|.<br>1.50|.<br>1.27|
|TOTAL FERTILITY|5.800|5.290|4.780|4|.270||3.760|3.250|2.881|2.555|2.265|
|NRR|2.286|2.'54|2.003||1.837||1.639|1.435|1.288|1.156|1.037|
|e(0)- BOTH SEXES|55.59|57.47|59.29|6|1.03|6|2.24|63.48|64.76|66.07|67.43|
|e(IO)- BOTH SEXES|55.65|56.22|56.66|5|7.06||57.85|58.66|59.50|60.37|61.26|
|IHR- BOTH SEXES|99.9|87.3|74.3||62.0||57.2|52.4|47.5|42.7|37.9|
|q(5)-BOTH SEXES|1437|1238|1033||0840||o773|0705|0637|0569|0501|
|<br>DEP. RATIO<br>85.8|.<br>88.4|.<br>88.2|.<br> <br>84.4|<br>|.<br>78.2|<br>|.<br>71.7|.<br> <br>65.4|.<br> <br>59.8|.<br> <br>54.6|.<br> <br>50.|
149 LESOTHO Projection (000s) with NRR-I by 2030

# Sumnsry for 25 Year Periods

|,<br>................................................................<br>AGEGROUJP<br>1985|....................<br> <br>2000|2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|....<br>...|...<br>...<br>...<br>..<br>...<br>...<br>...|.<br>...<br>....<br>|...<br>...<br>...<br>|...<br>...<br>...<br>|...<br>...<br>...|................|.<br>.<br>.|
|TOTALN+F<br>1545|<br>2265|3657|<br>4796|<br>5465|<br>5654|<br>5732|<br>5763|
|MALES||||||||
|0-4<br>129|<br>173|188|<br>185|<br>184|<br>184|<br>184|<br>184|
|5-9<br>104|<br>158|190|<br>186|<br>184|<br>183|<br>184|<br>184|
|10-14|I8<br>143|¶87|184|<br>182|<br>183|<br>183|<br>184|
|15-19<br>74|<br>120|<br>185|<br>178|<br>¶81|183|<br>183|<br>183|
|20-24<br>63|99|176|<br>176|<br>181|183|<br>183|<br>183|
|<br> <br>25-29<br>55|<br> <br>83|<br>163|<br> <br> <br>182|<br> <br> <br>183|<br> <br>183|<br> <br> <br>1b2|<br><br> <br>182|
|<br>30-34<br>46|<br>68|<br>150|<br> <br>1¶4|<br> <br>183|<br> <br> <br>182|<br> <br> <br>182|<br><br> <br>182|
|35-39<br>38|57|<br>134|<br>181|<br>180|<br>180|<br>181|<br>181|
|40-44<br>33|<br>49|110|<br>176|<br>174|<br>_177_|<br>180|<br>181|
|45-49<br>29|<br>40|<br>89|<br>165|<br>170|<br>176|<br>179|<br>179|
|50-54<br>25|32|71|150|<br>173|<br>175|<br>176|<br>176|
|55-59<br>21|27|55|132|<br>169|<br>170|<br>170|<br>171|
|60-64<br>17|22|42|109|<br>156|<br>159|<br>160|<br>161|
|65-69<br>13|17|<br>32|80|137|<br>139|<br>144|<br>147|
|<br> <br>70-74<br>9|<br>12|<br> <br>21|<br> <br>54|<br> <br>109|<br> <br> <br>116|<br> <br>123|<br>126|
|75'<br>8|11|20|52|133|<br>182|<br>194|<br>198|
|TOTAL<br>754|1112|1813|<br>2373|<br>2677|<br>2753|<br>2787|<br>2802|
|FEMALES||||||||
|0-4<br>130|171|185|<br>182|<br>181|<br>180|<br>180|<br>180|
|5-9<br>105|157|<br>187|<br>183|<br>180|<br>180|<br>180|<br>180|
|10-14<br>90|<br>142|<br>185|<br>181|<br>179|<br>179|<br>180|<br>180|
|15-19<br>77|122|183|<br>176|<br>178|<br>179|<br>180|<br>180|
|<br> <br>20-24<br>66|<br>101|<br>174|<br> <br> <br>174|<br> <br> <br>179|<br> <br> <br>180|<br> <br> <br>180|<br><br> <br>180|
|25-29<br>58|85|162|<br>181|<br>181|<br>180|<br>180|<br>180|
|30-34<br>50|71|149|<br>183|<br>182|<br>180|<br>179|<br>179|
|35-39<br>40|<br>61|<br>133|<br>180|<br>180|<br>179|<br>179|<br>179|
|40-44<br>35|<br>53|<br>113|<br>176|<br>174|<br>177|<br>179|<br>179|
|45-49<br>32|<br>45|<br>91|<br>166|<br>171|<br>177|<br>179|<br>179|
|50-54<br>28|36|75|<br>152|<br>176|<br>178|<br>178|<br>178|
|55-59<br>24|<br>30|<br>61|<br>137|<br>176|<br>177|<br>176|<br>176|
|60-64<br>20|<br>26|<br>49|<br>117|<br>168|<br>171|<br>171|<br>172|
|65-69<br>16|<br>21|<br>39|<br>92|<br>155|<br>159|<br>164|<br>166|
|70-74<br>10|<br>15|<br>28|<br>66|<br>132|<br>143|<br>152|<br>15S|
|75+<br>10|16|29|76|19S|<br>281|<br>309|<br>318|
|TOTAL<br>791|1153|1844|<br>2424|<br>2788|<br>2900|<br>2945|<br>2961|
|BIRTH RATE|38.0|26.9|17.7|14.2|13.2|12.9|12.7|
|DEATH<br>RATE|11.7|8.0|7.')|9.0.|11.8|12.3|12.5|
|NETMIGRATION<br>RATE|-. 8|-. 1|.0|.0|.0|.0|.0|
|GROUTH<br>RATE|2.55|1.92|1.09|.52|.14|.06|.02|
|TOTAL<br>FERTILITY|5.245|3.233|2.147|2.055|2.046|2.040|2.039|
|e(O)<br>- BOTH SEXES|57.61|S3e75|70.49|75.60|77.27|78.44|78.74|
|<br>IMR<br>- BOTHSEXES|86.7|52.4|28.2|12.4|9.2|7.1|6.7|
1SO

|MALAWI||Proje|ctfon(000|s)<br>with NRR|=1 b|y 2055|||||
|---|---|---|---|---|---|---|---|---|---|---|
|AGE GROUP<br>1985|<br>1990|1995|<br>2000|<br>2005||2010|<br>2015|<br>2020|<br>2025|<br>2030|
|.....................................................................|.....................................|........................|||||||||
|TOTALN+F<br>7369|8700|10339|<br>12333|<br>14592||17168|<br>20116|<br>23453|<br>27137|<br>31081|
|KALES|||||||||||
|0-4<br>714|870|1049|<br>1251|<br>1410||1592|<br>1804|<br>2029|<br>2234|<br>2394|
|5-9<br>564|664|813|<br>988|1188||1345|<br>1526|<br>1737|<br>1964|<br>2172|
|10-14<br>459|553|652|799|<br>973||1172|<br>1328|<br>1509|<br>1720|<br>1947|
|1519<br>375|450|42|641||||<br>|<br>|<br>|<br>|
|-<br>||5||787||959|<br>1157|<br>1313|<br>149|<br>1704|
|20-24<br>302|<br>364|<br>437|<br>529|<br>627||772|<br>942|<br>1138|<br>1293|<br>1473|
|25.29<br>241|<br>291|<br>351|<br>424|<br>515||612|<br>755|<br>924|<br>1118|<br>1273|
|30-34<br>196|<br>231|<br>279|<br>339|<br>411||502|<br>598|<br>739|<br>907|<br>1098|
|35-39<br>166|<br>187|<br>221|<br>269|<br>528||399|<br>488|<br>583|<br>722|<br>8a8|
|40-44<br>142|<br>157|<br>178|<br>211|<br>258||115|<br>385|<br>473|<br>566|<br>704|
|45-49<br>119|<br>133|<br>148|<br>168|<br>200||245|<br>301|<br>369|<br>455|<br>546|
|50-54<br>96|<br>110|<br>124|<br>138|<br>157||188|<br>231|<br>284|<br>350|<br>432|
|55-59<br>75|<br>86|<br>99|<br>112|<br>125||143|<br>172|<br>212|<br>262|<br>324|
|60-64<br>57|<br>64|<br>75|<br>86|<br>97||109|<br>126|<br>152|<br>189|<br>235|
|65-69<br>41|<br>46|<br>52|<br>61|<br>70||80|<br>91|<br>105|<br>128|<br>159|
|70-74<br>26|<br>30|<br>34|<br>39|<br>45||53|<br>60|<br>69|<br>80|<br>99|
|75+<br>20|<br>24|<br>29|<br>33|<br>38||45|<br>53|<br>62|<br>73|<br>86|
|TOTAL<br>3591|4259|5083|6089|7229||8529|10017|<br>11698|<br>13552|<br>15533|
|FEMALES|||||||||||
|0-4<br>702|<br>868|<br>1046|<br>1243|<br>1398||1577|<br>1785|<br>2005|<br>2205|<br>2362|
|5-9<br>562|<br>654|<br>812|<br>985|<br>1181||1335|<br>1514|<br>1722|<br>1945|<br>2149|
|10-14<br>462|<br>550|<br>641|<br>798|<br>969||1164|<br>1318|<br>1497|<br>1705|<br>1928|
|15-19<br>382|<br>452|<br>539|<br>629|<br>784||954|<br>1148|<br>1302|<br>1480|<br>1689|
|20-24<br>321|371|440|525|614||768|937|<br>1129|<br>1283|<br>1462|
|25-29<br>271|<br>310|<br>359|<br>427|<br>511||599|<br>751|<br>918|<br>1110|<br>1263|
|30-34<br>228|<br>261|<br>299|<br>347|<br>413||497|<br>584|<br>734|<br>900|<br>1090|
|35-39<br>192|<br>219|<br>251|<br>288|<br>335||400|<br>482|<br>569|<br>717|<br>882|
|40-44<br>160|<br>183|<br>209|<br>240|<br>277||323|<br>387|<br>468|<br>554|<br>700|
|45-49<br>131|<br>151|<br>174|<br>200|<br>230||266|<br>311|<br>374|<br>453|<br>538|
|50-54<br>107|123|142|164|<br>188||217|252|296|358|<br>436|
|55-59<br>86|<br>98|<br>113|<br>131|<br>152||175|<br>203|<br>237|<br>279|<br>339|
|60-64<br>67|<br>75|<br>87|<br>101|<br>117||136|<br>158|<br>185|<br>217|<br>257|
|65-69<br>48|<br>56|63|<br>73|<br>85||100|<br>117|<br>137|<br>161|<br>191|
|70-74<br>31|<br>36|<br>42|<br>49|<br>57||67|<br>79|<br>94|<br>111|<br>132|
|75+<br>27<br>|<br>32|<br>37|44|52||61|<br>7-|88|<br>107|<br>130|
|TOTAL<br>3778|4440|5256|6244|7363||8639|10099|<br>11755|<br>13585|<br>15548|
|BIRTHRATE|52.8|53.2|52.3|48.6||45.9|43.7|41.5|38.9|35.7|
|DEATH RATE|19.1|18.2|16.8|14.9||13.4|12.1|10.8|9.7|8.6|
|RATE OF HAT. INC.|3.38|3.50|3.56|3.38||3.26|3.17|3.07|2.92|2.71|
|NETMIGRATION<br>RATE|-. 5|-. 5|**-. 3**|-. 1||-.1|.0|.0|.0|.0|
|GROWTH<br>RATE|3.32|3.45|3.53|3.36||3.25|3.17|3.07|2.92|2.71|
|TOTAL FERTILITY|7.600|7.600|7.600|7.090|6|.580|6.070|5.560|5.050|4.540|
|NRR|2.574|2.649|2.724|2.627|2|.501|2.366|2.224|2.072|1.911|
|e(0)- BOTH SEXES|47.01|48.25|49.77|51.51|5|3.17|54.90|56.70|58.55|60.48|
|e(10)- BOTH SEXES|51.65|52.29|52.81|53.26|5|4.15|55.06|56.01|56.98|57.99|
|IMR - BOTH SEXES|149.8|142.2|131.7|119.1|1|09.6|100.2|90.7|81.3|71.8|
|q(5)-BOTH SEXES|2241|2125|1955|1746||1606|1464|1321|1178|1033|
|<br>DEP. RATIO<br>98.5|.<br> <br>101.5|.<br> <br>104.|.<br>0<br>106.|.<br>6<br>104.|<br>8|<br>100.|.<br>1<br>94.|.<br>0<br>89.|.<br>2<br>84.|.<br>5<br>79.3|
151 Projection (000s) with NRRul by 2055 .............

................ **......** . ..

MALAUI Sutmry for 25 Year Periods

|.......................<br>**ACE GRaOIP**<br>1985|.....................................<br>2000|...........<br>2025|2050|2075|.....<br>.............<br>2100|.............<br>2125|................ .. ..............<br>.....<br>2150|
|---|---|---|---|---|---|---|---|
|.....................<br>....|.......................................|.||...<br>....|.......<br>..........|...<br>......|........................<br>..............|
|TOTAL.FF<br>7369|12333|27137|46962|62828|71822|74293|75114|
|MALES||||||||
|0-4<br>?14|1251|2234|2435|2432|2417|2409|2407|
|5-9<br>'614|988|1964|2475|2442|2405|2400|2403|
|10-14<br>459|799|1720|2469|2407|Z383|2393|2401|
|15-19<br>375|641|1493|2429|2314|2366|2392|2400|
|20-24<br>302|529|1293|2292|2288|2373|2395|2397|
|25-29<br>241|424|1118|2102|2382|2398|2395|2389|
|30-34<br>196|339|907|1872|2418|2405|2380|2377|
|35-39<br>166|269|722|1625|2398|2362|<br>2352|2365|
|40-44<br>142|211|566|1391|2341|2258|2326|2355|
|45-49<br>119|168|455|1183|2182|2212|2316|2342|
|50-54<br>96|138|350|992|1955|2262|2305|<br>2309|
|55-59<br>75|112|262|763|1670|2219|2243|2230|
|60-64<br>57|86|189|559|1351|2072|2086|2092|
|65-69<br>41|61|128|384|1031|1828|<br>1e18|1892|
|70-74<br>26|39|80|251|729|<br>1442|1525|1619|
|75+<br>20|33|73|217|731|<br>1731|<br>2421|<br>2545|
|TOTAL<br>3591|6089|13552|23441|31071|35135|36155|36524|
|FEMALES||||||||
|0-4<br>702|1243|2205|<br>2395|2387|2368|2357|2353|
|5-9<br>562|965|<br>1945|<br>2443|2403|2360|2351|2352|
|10-14<br>462|798|1705|2441|2373|2342|2347|2352|
|15-19<br>382|629|1480|2407|2286|2330|2349|2354|
|20-24<br>321|525|1283|22'8|2268|2344|2358|2356|
|25-29<br>271|427|<br>1110|2094|2371|2376|2364|2354|
|30-34<br>228|347|900|1867|2415|2391|2356|2349|
|35-39<br>192|288|717|1623|2405|2356|2336|2343|
|40-44<br>160|240|554|1392|2357|2263|2320|2342|
|45-49<br>131|200|<br>453|<br>1188|2211|2233|2326|2344|
|50-54<br>107|164|358|1007|2003|2313|2343|2338|
|55-59<br>86|131|279|790|1745|2318|2329|2306|
|60-64<br>67|101|217|598|1458|2245|2247|2243|
|65-69<br>48|73|<br>161|423|<br>1167|2090|<br>2071|2146|
|70-74<br>31|49|111|296|881|1778|1881|1993|
|75+<br>27|44|107|299|1027|2581|3801|4065|
|TOTAL<br>3778|6244|13585|23541|31758|36687|38137|38590|
|BIRTH RATE|52.7|43.0|28.2|17.6|14.2|13.1|12.8|
|DEATH<br>RATE|17.9|11.8|6.8|6.1.|8.9|11.7|12.4|
|NETMIGRATION<br>RATE|-. 4|-.0|.0|.0|.0|.0|.0|
|**GROWTH**<br>RATE|3.43|3.15|2.20|1.16|.54|.14|.04|
|TOTAL FERTILITY|7.602|5.884|3.391|2.111|2.060|2.041|2.040|
|**e(O)**-BOTH SEXES|4850|5552|6510|7255|7562|7782|7840|
|<br>**!.,**<br>.<br>**4'n^. f**<br>e|.<br>**4ef**<br>)|.<br>OR<br>?|.<br>Cj<br>I|.<br>-?<br>**77**|.<br>4|.<br>_^|.<br>7|
152

|MOZAMBIQ.JE<br>...............<br>............................||Proje<br>_... ...|ction (OO0<br>....<br>............|s) with NRR=<br>........|1 by 2045<br>..............|. ........................|.................................||...|
|---|---|---|---|---|---|---|---|---|---|
|AGEGROW<br>1985|1990|1995|2000|2005|2010|2015|2020|2025|<br>2030|
|TOTALM+F<br>13791|15861|18589|21671|<br>25137|<br>28849|<br>32864|37170|41647|<br>46084|
|MALES||||||||||
|0-4<br>,?15|1399|1760|1981|<br>2219|2382|2573|2762|2891|<br>2914|
|5.9<br>9P|1138|1320|1674|<br>1899|2135|2301|2496|2689|<br>2825|
|10-14<br>828|<br>956|<br>1119|<br>1300|<br>1652|1877|2112|2278|2474|<br>2668|
|15-19<br>707|<br>813|<br>939|<br>1101|<br>1281|<br>1630|<br>1853|<br>2038|<br>2255|<br>2451|
|20-24<br>595|<br>689|<br>793|<br>918|<br>1077|<br>1255|<br>1600|<br>1822|<br>2056|<br>2224|
|25-29<br>498|<br>576|<br>669|771|<br>893|<br>1050|<br>1227|<br>1566|<br>1788|<br>2021|
|30-34<br>417|481|558|648|748|868|1024|1198|1533|<br>1754|
|35-39<br>3'8|400|462|538|625|724|842|996|1169|<br>1500|
|40-44<br>288|331|382|442|<br>514|600|69t|814|965|<br>1136|
|45-49<br>236|<br>271|<br>312|<br>360|<br>418|<br>488|<br>572|<br>666|<br>781|<br>929|
|50-54<br>191|<br>218|<br>250|<br>289|<br>334|<br>389|<br>457|<br>537|<br>69|<br>741|
|55-59<br>151|171|196|226|261|303|355|419|495|<br>583|
|60-64<br>114|<br>130|<br>148|<br>169|<br>195|<br>227|<br>266|<br>313|<br>371|<br>442|
|65-69<br>81|92|105|<br>119|<br>137|<br>159|<br>187|<br>221|<br>262|<br>313|
|70-74<br>52|59|67|77|<br>88|<br>102|<br>119|<br>142|<br>169|<br>202|
|75+<br>42|49|56|64|74|86|101|121|145|<br>176|
|TOTAL<br>6738|7770|9134|10679|<br>12417|<br>14277|<br>16286|<br>18437|<br>20671|<br>22878|
|FEMALES||||||||||
|0-4<br>1210|1394|1748|1964|<br>2196|2355|2543|2728|2854|<br>2875|
|5-9<br>1017|1134|1315|1664|<br>1886|2118|2281|2473|2663|<br>2797|
|10-14<br>861|998|1114|1295|<br>1643|1864|2096|2260|2452|<br>2644|
|15-19<br>734|844|980|1096|<br>1276|1620|1841|2073|2238|<br>2432|
|20-24<br>621|716|825|959|1074|1252|1593|1814|2046|<br>2213|
|25-29<br>522|<br>603|<br>697|<br>805|<br>935|<br>1049|<br>1226|<br>1564|<br>1784|<br>2017|
|30-34<br>437|<br>505|<br>585|<br>677|<br>782|<br>911|<br>1025|<br>1201|<br>1535|<br>1756|
|35-39<br>365|<br>421|<br>488|<br>566|<br>656|<br>759|<br>886|<br>1000|<br>1175|<br>1506|
|40-44<br>304|<br>350|<br>405|<br>470|<br>546|<br>633|<br>735|<br>862|<br>975|<br>1149|
|45-49<br>253|<br>290|<br>335|<br>388|<br>450|<br>524|<br>610|<br>711|<br>836|<br>949|
|50-54<br>208|<br>238|<br>274|<br>317|<br>367|<br>427|<br>499|<br>584|<br>682|<br>805|
|55-59<br>169|192|221|254|294|342|400|469|551|<br>647|
|60-64<br>132|<br>151|<br>172|<br>198|<br>227|<br>265|<br>310|<br>365|<br>431|<br>510|
|65-69<br>97|111|<br>128|<br>146|<br>168|<br>195|<br>228|<br>270|<br>320|<br>382|
|70-74<br>65|75|86|99|113|132|155|184|219|<br>263|
|754<br>58|68|80|93|107|<br>125|<br>148|<br>177|<br>214|<br>261|
|TOTAL<br>7053|8091|9455|10992|<br>12720|<br>14572|<br>16578|<br>18733|20977|<br>23206|
|BIRTH RATE|45.4|48.2|45.5|42.9|39.5|36.9|34.6|31.8|28.5|
|DEATH RATE|17.3|16.4|14.8|13.3|12.0|10.9|9.9|9.1|8.2|
|RATE OFNAT. INC.|2.81|3.18|3.07|2.97|2.76|2.61|2.46|2.28|2.03|
|NET MIGRATION<br>RATE|-. 1|-. 1|.0|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|2.80|3.17|3.07|2.97|2.75|2.61|2.46|2.27|2.02|
|TOTAL FERTILITY|6.300|6.520|6.230|5.940|5.430|4.920|4.410|3.900|3.390|
|NRR|2.197|2.362|2.331|2.295|2.146|1.988|1.822|1.647|1.463|
|e(O)- BOTH SEXES|48.13|49.85|51.55|53.24|54.82|56.46|58.16|59.93|61.76|
|e(10)- BOTH SEXES|51.96|52.62|52.96|53.19|54.12|55.08|56.08|57.11|58.17|
|IYR- BOTH SEXES|140.9|129.5|116.4|102.5|94.4|86.4|78.4|70.3|62.3|
|q(5)-BOTH SEXES|2103|1919|1703|1478|1360|1240|1120|1000|0878|
|<br>DEP. RATIO<br>89.1|.<br> <br>89.0|.<br> <br>91.8|.<br> <br>93.|.<br>6<br>94.|.<br>0<br>88.3|.<br> <br>82.4|.<br> <br>76.5|.<br> <br>71.|.<br>4<br>66.0|
153 Projection **(COOS)** wIth **NARRl** by 2045

# NOZAIIIE

# Sumury for 25 Year Periods

|...........<br>.....................<br>AGE GROUP<br>1985|.....<br>2000|......<br>.....<br> <br>2025|........<br>.......<br>2050|.....................................<br>2075|2100|2125|......<br>.....<br>2150|
|---|---|---|---|---|---|---|---|
|<br> <br>...... .........<br>...<br>....<br>|<br>...<br>....<br>...<br>***.**<br>.|<br> <br>..<br>................||<br>..|<br>..<br>....<br>|<br>..<br>......|....|
|TOTAL**INF**<br>13791|21671|41647|61649|76735|83316|85191|<br>85981|
|**MALES**||||||||
|0-4<br>1215|1981|2891|2690|2721|2745|<br>2754|2756|
|5-9<br>973|1674|<br>2689|2627|2724|<br>2750|2753|<br>2752|
|10-14<br>828|1300|<br>2474|2738|2756|2753|2749|2748|
|15-19<br>707|1101|2255|2807|2769|2740|2738|<br>2742|
|20-24<br>595|918|2056|2804|2722|2710|2725|2736|
|25-29<br>498|771|1788|2737|2634|2684|2720|2732|
|30-34<br>417|648|1533|2566|2569|2685|2721|2727|
|35-39<br>348|538|1169|2335|2663|2706|2718|2717|
|40-44<br>288|442|965|2097|2710|2704|2694|2697|
|45-49<br>236|360|781|1875|2675|2635|2646|2666|
|50-54<br>191|289|629|1581|<br>2554|2506|2581|2623|
|55-59<br>151|226|495|1288|2299|2363|2505|2551|
|60-64<br>114|169|371|903|1952|<br>2307|2392|2418|
|65-69<br>81|119|262|654|1565|<br>2124|2181|<br>2193|
|70-74<br>52|77|<br>169|431|1166|1778|1820|1851|
|75+<br>42|64|145|401|<br>1207|<br>2373|2703|2881|
|TOTAL<br>6738|10679|20671|30536|37685|40561|41400|<br>41787|
|FEMALES||||||||
|0-4<br>1210|1964|2854|2650|2673|<br>2689|2694|2694|
|5-9<br>1017|1664|<br>2663|2597|2684|2699|2697|2693|
|10-14<br>861|1295|2452|2711|2721|2707|2695|2692|
|15-19<br>734|1096|2238|2786|2741|2700|2689|2690|
|20-24<br>621|959|2046|2792|2705|2679|2683|2689|
|25-29<br>522|805|1784|<br>2735|2629|2663|2685|2692|
|30-34<br>437|677|1535|<br>2571|2574|2673|<br>2695|2694|
|35-39<br>365|566|1175|<br>2347|2678|2705|2701|2691|
|40-44<br>304|470|975|2117|2739|<br>2718|2690|2681|
|45-49<br>753|388|836|1908|2723|2669|2660|2668|
|50-54<br>208|317|682|1632|<br>2632|2571|2628|2656|
|55-59<br>169|254|551|1361|2419|2479|2608|2638|
|60-64<br>132|198|431|992|2128|2512|2585|2595|
|65-69<br>97|146|320|756|1799|2445|2495|2491|
|70-74<br>65|99|219|<br>558|1440|<br>2212|2259|2285|
|75+<br>58|93|214|600|1765|3636|4329|4646|
|TOTAL<br>7053|10992|20977|31112|39050|42756|43791|<br>44194|
|BIRTH RATE|46.4|36.5|22.4|16.0|13.7|13.0|12.8|
|DEATH<br>RA'E|16.0|10.8|7.1|7.3.|10.4|12.1|12.4|
|**NET**HIGRATION<br>RATE|-. 1|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|3.01|2.61|1.57|.88|.33|.09|.04|
|TOTAL FERTILITY|6.346|4.763|2.604|2.078|2.055|2.041|2.040|
|eCo)- BOTHSEXES|50.02|56.95|66.03|73.19|75.98|77.97|78.47|
|INR - BOTHSEXES|127.7|85.5|46.8|19.3|12.2|7.7|7.0|
154 SWAZI LAND Projection (000s) with NRR-1 by 2035

|AGEGROUP<br>1985<br>1990<br>.....<br>......<br>........................................|1995<br>2000<br>.....................................|2005<br>...............................................|2010<br>.....|2015|2020|2025|2030<br>......|
|---|---|---|---|---|---|---|---|
|TOTALN*F<br>665<br>790|925<br>1080|1254|1443|<br>1637|<br>1827|2011|<br>2183|
|MALES||||||||
|0-4<br>66<br>74|81<br>91|103|112|<br>117|<br>117|116|<br>113|
|5-9<br>52<br>64|72<br>79|89|101|<br>110|<br>115|115|<br>114|
|10-14<br>41<br>S1|63<br>72|78|89|101|110|114|115|
|15-19<br>34<br>40|51<br>63|71|77|88|<br>100|109|<br>114|
|20 24<br>28<br>33|40<br>50|62|70|<br>77|<br>88|99|<br>108|
|25-29<br>22<br>28|33<br>39|49|61|<br>C9|<br>76|87|<br>98|
|30-34<br>17<br>22|27<br>_32_|38|49|<br>61|<br>69|75|<br>86|
|35-39<br>16<br>17|22<br>27|31|38|<br>48|<br>60|68|<br>74|
|40-44<br>1I<br>15|16<br>21|26|31|37|47|59|67|
|45-49<br>12<br>11|15<br>16|20|26|30|36|46|57|
|50-54<br>8<br>11|10<br>14|1S|19|24|29|35|44|
|55-59<br>8<br>7|10<br>9|13|14|<br>18|23|27|33|
|60-64<br>4<br>7|6<br>9|8|11|13|16|21|25|
|65-69<br>3<br>4|6<br>S|8|7|<br>10|11|14|18|
|70-74<br>3<br>3|3<br>4|4|6|6|8|9|11|
|75.<br>2<br>2|3<br>3|4|4|6|6|8|10|
|TOTAL<br>327<br>389|457<br>534|622|717|814|909|1001|1087|
|FEMALES||||||||
|0-4<br>69<br>74|80<br>90|102|110|115|115|114|111|
|5-9<br>53<br>67|72<br>78|89|100|109|113|114|113|
|10-14<br>40<br>52|66<br>71|78|88|100|108|113|114|
|15-19<br>34<br>40|52<br>66|71|77|88|99|108|113|
|20-24<br>29<br>34|39<br>S1|65|70|<br>77|<br>87|98|<br>i07|
|25-29<br>24<br>28|33<br>39|51|64|<br>69|<br>76|86|<br>98|
|30-34<br>20<br>24|28<br>33|38|50|<br>63|<br>69|75|<br>85|
|35-39<br>17<br>19|23<br>27|32|38|49|<br>62|68|<br>74|
|_40-44_<br>12<br>17|19<br>23|27|31|<br>37|48|61|<br>67|
|45-49<br>12<br>11|16<br>18|22|26|<br>31|<br>36|47|<br>60|
|50-54<br>8<br>11|11<br>1S|18|21|<br>25|<br>30|35|<br>46|
|55-59<br>7<br>8|11<br>10|15|17|<br>20|<br>24|28|<br>34|
|60-64<br>4<br>7|7<br>10|9|13|<br>15|<br>19|22|<br>27|
|65-69<br>4<br>4|6<br>6|a|8|<br>12|<br>14|17|<br>20|
|70-74<br>3<br>3|3<br>4|5|7|<br>7|<br>10|11|<br>14|
|75+<br>3<br>3|3<br>3|4|5|<br>7|<br>8|11|<br>14|
|TOTAL<br>338<br>401|469<br>546|633|726|<br>823|<br>918|1010|<br>1096|
|BIRTH RATE<br>47.1<br>4|2.4<br>40.3<br>|38.4<br>|35.8|32.4|28.6<br>|25.4|22.5|
|DEATH RATE<br>12.6<br>1|0.8<br>9.5|8.4|7.8|7.2|6.6|6.2|6.0|
|RATE OFMAT.INC.<br>3.45<br>3|.16<br>3.08<br>|3.00<br>|2.80|2.52|2.20<br>|1.91|1.65|
|NETMIGRATION<br>RATE<br>.0|.0<br>.0|.0|.0|.0|.0|.0|.0|
|GROGTH<br>RATE<br>3.45<br>3|.16<br>3.08<br>|3.00<br>|2.80|2.52|2.20<br>|1.91|1.65|
|TOTAL FERTILITY<br>6.500<br>5.|990<br>5.480<br>4|.970<br>4|.460|3.950|3.440<br>2|.990|2.599|
|NR<br>R<br>2.578<br>2|.433<br>2.286<br>2|.126<br>1|.934|1.735|1.531<br>1|.349|1.187|
|e(0)<br>BOTHSEXES<br>55.38<br>57|.38<br>59.29<br>6|1.10<br>6|2.30|63.54|64.82<br>6|6.14|67.49|
|etlO) - BOTHSEXES<br>56.20<br>57|.02<br>57.61<br>5|8.07<br>5|8.77|59.49|60.23<br>6|1.00|61.80|
|IMR - BOTH SEXES<br>117.9<br>10|5.0<br>91.2<br>|77.7<br>|71.3|64.9|58.4<br>|52.0|45.6|
|q(S)- BOTH SEXES<br>.1551<br>.1|366<br>.1169<br>.|0974<br>.|0893|.0812|.0731<br>.|0649|.0567|
|<br>DEP. RATIO<br>103.2<br>103.0|97.6<br>88.7|83.8|79.4|74.3|67.2|60.3|54.1|
155 Projection (000s) with NRR-1 by 2035

# SWAZILAND

# Sum.ry for 25 Year Periods

|.<br>....................................................................<br>AGE GROUP<br>1985|2000|2025|2050|..<br>2075|.................................<br>2100|2125|2150|
|---|---|---|---|---|---|---|---|
|TOTAL MF<br>665|1080|2011|2793|3287|3437|3486|3504|
|MALES||||||||
|0-4<br>66|91|116|113|112|112|112|<br>112|
|5-9<br>52|79|115|112|111|111|112|<br>112|
|10-14<br>41|72|<br>114|109|110|111|112|<br>112|
|15-19<br>34|63|109|107|110|11t|112|<br>ill|
|20-24<br>28|50|99|111|111|111|111|<br>111|
|25-29<br>22|39|87|112|112|111|'<br>111|<br>11|
|30-34<br>i7|32|75|112|111|110|110|<br>111|
|35-39<br>16|27|68|111|107|109|110|<br>110|
|40-44<br>11|21|59|105|104|108|110|<br>110|
|45-49<br>12|16|46|<br>94|107|108|109|<br>109|
|50-54<br>8|14|35|80|107|107|107|<br>107|
|55-59<br>8|9|27|67|103|103|103|<br>104|
|60-64<br>4|9|21|56|96|94|97|98|
|65-69<br>3|5|14|43|82|84|<br>88|90|
|70-74<br>3|4|9|28|62|73|<br>76|77|
|75.<br>2|3|8|25|70|111|118|120|
|TOTAL<br>327|534|1001|1385|1614|1675|1695|1704|
|FEMALES||||||||
|0-4<br>69|90|114|111|110|109|<br>109|109|
|5-9<br>53|78|114|111|109|109|109|109|
|10-14<br>40|71|113|107|108|109|109|109|
|15-19<br>34|66|108|105|109|109|109|109|
|20-24<br>29|51|98|110|110|110|109|109|
|25-29<br>24|39|86|112|111|110|109|109|
|30-34<br>20|33|75|112|110|109|109|109|
|35-39<br>17|27|68|110|107|108|109|109|
|40-44<br>12|23|61|105|104|108|109|109|
|45-49<br>12|18|47|94|108|109|109|109|
|50-54<br>8|15|35|82|<br>109|109|108|108|
|55-59<br>7|10|28|69|107|107|106|107|
|60-64<br>4|10|22|60|103|101|104|105|
|65-69<br>4|6|17|51|92|95|<br>100|101|
|70-74<br>3|4|11|34|75|90|93|94|
|75+<br>3|3|11|35|102|171|188|193|
|TOTAL<br>338|546|<br>1010|1407|1673|1763|1790|1800|
|BIRTH RATE|42.9|31.3|19.0|14.6|13.2|12.9|12.7|
|DEATH RATE|10.8|7.1|6.0|8.1|11.4|12.3|12.5|
|NET MIGRATION RATE|.0|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|3.23|2.49|1.31|.65|.18|.06|.02|
|TOTAL FERTILITY|5.922|3.810|2.224|2.055|2.046|2.040|2.039|
|e(O)- BOTH SEXES|57.56|63.89|70.57|75.63|77.9|78.46|78.75|
|IMR- BOTH SEXES|104.0|64.6|32.9|12.3|9.1|7.0|6.7|
156 TANZANIA Projection (000s) with **NARml** by 2045

|. ..<br>.........<br>..............<br>AGEGROUP<br>1985|........<br> <br> <br>1990|..............<br> <br>1995|...........<br> <br>2000|.....................<br> <br>2005|.......<br> <br>2010|........<br>|.........................<br>2015|<br>2020|<br>2025|<br>2030|
|---|---|---|---|---|---|---|---|---|---|---|
|<br> <br>....<br>....<br>...........<br>.............|<br> <br>........|<br> <br>..<br>....<br>.....|<br> <br>.<br>...<br>..<br>..|<br> <br>. ........<br>...........|<br> <br>.<br>...|<br>...|<br>...........|<br> <br>.....................|<br> <br>.|<br><br>........|
|TOTAL**M+F**<br>22242|26673|<br>31594|37315|<br>43972|<br>51364||59364|<br>67784|<br>76397|<br>84894|
|HALES|||||||||||
|0-4<br>2257|2681|2987|<br>3447|<br>3982|<br>4423||4802|<br>5091|<br>5269|<br>5293|
|5-9<br>1744|<br>2160|2581|2895|<br>3362|<br>3893||4334|<br>4716|<br>5010|<br>5196|
|10-14<br>1381|1722|2135|2554|<br>2869|<br>3335||3864|<br>4304|<br>4687|<br>4983|
|15-19<br>1135|1361|1698|<br>2107|<br>2524|<br>2838||3301|<br>3829|<br>4269|<br>4653|
|20-24<br>935|1112|1333|<br>1664|<br>2067|<br>2480||2792|<br>3253|<br>3778|<br>4219|
|25-29<br>748|911|1084|<br>1300|<br>1624|<br>2021||2b29|<br>2740|<br>3199|<br>3723|
|30-34<br>589|n27|886|1054|<br>1266|<br>1584||1976|<br>2380|<br>2690|<br>3147|
|35-39<br>536|569|703|857|1021|<br>1229||1542|<br>1928|<br>2328|<br>2639|
|40-4*4<br>432|514|546|675|824|984||118S|<br>1495|<br>1875|<br>2272|
|45-49<br>345|409|487|518|641|785||941|<br>1141|<br>1441|<br>1813|
|50-54<br>269|<br>320|<br>381|<br>453|<br>483|<br>600||739|<br>890|<br>108|2<br>1373|
|55-59<br>206|243|290|345|412|441||551|<br>681|<br>824|<br>1008|
|60-64<br>152|178|211|252|301|361||389|<br>489|<br>609|<br>741|
|65-69<br>105|124|145|172|206|248||300|326|<br>413|<br>S18|
|70-74<br>65|78|91|107|128|154||188|<br>230|<br>252|<br>323|
|75+<br>53|62|74|88|104|126||154|<br>190|<br>237|<br>277|
|TOTAL<br>10953|13171|<br>15631|18489|<br>21813|<br>25502||29491|<br>33683|<br>37964|<br>42177|
|FEMALES|||||||||||
|0-4<br>2242|2655|2954|3403|3927|<br>4360||4733|5015|<br>5190|<br>5212|
|5-9<br>1746|2150|2562|2870|3329|<br>3849||4284|4660|<br>4949|<br>5132|
|10-14<br>1433|1723|2125|2537|2847|<br>3304||3824|4258|<br>4636|<br>4927|
|15-19<br>1169|1412|1700|2100|2510|<br>2820||3276|3795|<br>4230|<br>4610|
|20-24<br>960|1147|1387|1672|<br>2067|<br>2475||2784|<br>3239|<br>3758|<br>4195|
|25-29<br>m|938|1122|1358|<br>1639|<br>2030||2435|2744|<br>3199|<br>3717|
|30-34<br>614|753|915|1096|<br>1327|<br>1605||1992|<br>2395|<br>2704|<br>3159|
|35-39<br>555|596|731|890|1067|<br>1296||1571|<br>1954|<br>2354|<br>2664|
|40-44<br>449|<br>536|<br>576|<br>708|<br>863|<br>1037||1263|<br>1535|<br>1914|<br>2312|
|45-49<br>362|<br>431|<br>515|<br>554|<br>682|<br>834||1005|<br>1228|<br>1496|<br>1871|
|50-54<br>291|<br>343|<br>410|<br>490|<br>528|<br>652||800|<br>968|<br>1185|<br>1450|
|55-59<br>230|<br>270|<br>320|<br>382|<br>458|<br>496||615|<br>758|<br>921|<br>1133|
|60-64<br>176|<br>207|<br>244|<br>289|<br>346|<br>418||455|<br>568|<br>703|<br>860|
|65-69<br>127|<br>150|<br>177|<br>209|<br>249|<br>301||366|401|<br>!05|<br>631|
|70-74<br>85|100|<br>118|<br>140|<br>166|<br>199||244|<br>299|<br>332|<br>423|
|75*<br>76|<br>91|<br>108|<br>129|<br>154|<br>186||229|<br>284|<br>356|<br>422|
|TOTAL<br>11289|<br>13503|<br>15963|<br>18826|<br>22159|<br>25862||29874|<br>34101|<br>38433|<br>42718|
|BIRTHRATE|49.9|46.0|44.1|42.4|39.9||37.0|33.9|30.8|27.4|
|DEATH RATE|13.7|12.1|10.8|9.6|8.8||8.1|7.4|6.8|6.3|
|RATE OF HAT. INC.|3.63|3.38|3.33|3.28|3.11||2.90|2.65|2.39|2.11|
|NET MIGRATION<br>RATE|.1|.0|.0|.0|.0||.0|.0|.0|.0|
|GROWTH RATE|3.63|3.39|3.33|3.28|3.11||2.89|2.65|2.39|2.11|
|TOTAL FERTILITY|7.000|6.600|6.200|5.800|5.290||4.780|4.270|3.760|3.250|
|NRR|2.704|2.611|2.525|2.432|2.251||2.065|1.872|1.673|1.468|
|e(0)- BOTH SEXES|53.19|54.72|56.42|58.23|59.57||60.95|62.38|63.87|65.41|
|edlO)- BOTH SEXES|53.57|54.01|54.44|54.94|55.84||56.77|57.73|58.72|59.75|
|INR- BOTH SEXES|105.9|95.1|82.7|70.2|64.8||59.4|54.0|48.6|43.2|
|q(5) -BOTH SEXES|1532|1361|1165|0968|0891||0814|0737|0659|0581|
|<br>DEP. RATIO<br>103.6|.<br> <br>105.|.<br>5<br>103.3|.<br> <br>98.9|.<br> <br>94.1|.<br> <br>90.|<br>3|.<br>85.3|.<br> <br>78.|.<br>3<br>71.|.<br>4<br>64.7|
157

# TANZANIA

Projection (000s) with NRR-1 by 2045 Summry for 25 Year Periods

|...............<br>AGECROJP|..............................<br>1985|2000|.......<br>2025|..........<br>2050|207S|.............<br>2100|2125|2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL M.F|22242|37315|76397|115448|144333|156191|158969|160062|
|MALES|||||||||
|0-4|2257|3447|5269|4985|5059|5103|5116|5118|
|5-9|1744|2895|5010|4918|5073|5111|5113|5111|
|10-14|1381|2554|4687|5127|5124|5113|5105|5104|
|15-19|1135|2107|4269|5213|5137|5088|5088|5094|
|20-24|935|1664|3778|5155|5052|5038|5068|5084|
|25-29|748|1300|3199|5068|414|5001|5060|5076|
|30-34|589|1054|2690|4825|4831|5009|5061|5067|
|35-39|536|857|2328|4468|5015|5043|5052|5048|
|40-44|432|675|1875|4015|5067|5033|5008|5013|
|45-49|345|518|1441|3492|4959|4910|4925|4961|
|50-54|269|453|1082|2876|4780|4689|4818|4884|
|55-59|206|345|824|2306|4383|4473|4686<br>|4749<br>|
|60-64|152|252|609|1846|3804|4384|4475|4503<br>|
|65-69|105|172|413|1313|3071|4022|4080|4086|
|70-74|65|107|252|828|2243|3352|3417<br>|3459<br>|
|75+|53|88|237|721|2336|4629|5165|5427|
|TOTAL|10953|18489|37964|57155|70838|75997|77234|77785|
|FEMALES|||||||||
|0-4|2242|3403|5190|4905|4966|4995|5003|5002|
|5-9|1746|2870|4949|4852|4992|5012|5007|5001|
|10-14|1433|2537|4636|5066|5051|5023|5003|4998|
|15-19|1169|<br>2100|4230|<br>5162|<br>5076|<br>5008|<br>4993|<br>4995|
|20-24|960|1672|<br>3758|<br>5122|<br>5011|<br>4974|<br>4985|<br>4996|
|25-29|773|1358|<br>3199|<br>5055|<br>4881|<br>4954|<br>4990|<br>4999|
|30-34|614|1096|<br>2704|<br>4829|<br>4825|<br>4978|<br>5006|<br>5002|
|35-39|555|890|2354|4491|5027|5031|5013|4996|
|40-44|449|708|<br>1914|<br>4058|<br>5105|<br>5045|<br>4991|<br>4980|
|45-49|362|554|1496|3563|5033|4960|4943|4959|
|50-54|291|490|1185|2982|4913|4796|4895|4939|
|55-59|230|382|921|<br>2455|<br>4608|<br>4677|<br>4866|<br>4906|
|60-64|176|<br>289|<br>703|<br>2046|<br>4151|<br>4759|<br>4824|<br>4826|
|65-69|127|<br>209|<br>505|<br>1543|<br>3542|<br>4619|<br>4656|<br>4636|
|70-74|85|140|<br>332|<br>1053|<br>2795|<br>4171|<br>4236|<br>4265|
|75+|76|129|<br>356|<br>1112|<br>3518|<br>7192|<br>8322|<br>877|
|TOTAL|11289|<br>18826|<br>38433|<br>58293|<br>73495|<br>80194|<br>81734|<br>82277|
|BIRTH RATE||46.3|36.0|21.9|15.7|13.5|12.9|12.8|
|DEATH RATE||12.1|7.9|5.8|6.9.|10.4|12.2|12.5|
|NET MIGRATI|ON RATE|.0|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE||3.45|2.87|1.65|.89|.32|.07|.03|
|TOTAL FERTI|LITY|6.551|4.605|2.529|2.060<br>|2.048<br>|2.040<br>|2.039<br>|
|e(O)- BOTH|SEXES|54.96|61.40|68.99|74.82|76.86|78.29|78.65|
|<br>INR- BOTH S|EXES|93.7|58.7|32.7|14.6|10.1|7.3|6.8|
158 ZAMBIA Projection (000s) with NRR=1 by 2045

|.,_....................................................................................<br>AGE GROUP<br>1985|.............<br>1990|1995|2000|2005|2010|2015|2020|2025|2030|
|---|---|---|---|---|---|---|---|---|---|
|,......................................................................................|............................................|||||||||
|TOTALM*F<br>6704|8067|9597|11365|13426|15711|18206|20864|23605|26324|
|MALES||||||||||
|0-4<br>688|838|940|1078|1246|1381|1510|1616|1683|<br>1697|
|5-9<br>519|656|806|912|1053|1220|1355|1485|1591|<br>1660|
|10-14<br>429|509|646|795|902|1042|1208|1343|1474|<br>1581|
|15-19<br>357|421|500|635|783|889|1029|1195|1330|1460|
|20-24<br>280|347|409|487|619|765|870|1009|1174|<br>1310|
|25-29<br>222|270|335|395|471|600|744|848|987|1151|
|30-34<br>177|214|260|323|381|455|582|724|829|967|
|35-39<br>141|170|205|250|310|368|441|565|705|810|
|40-44<br>lt2|<br>134|162|195|239|297|354|425|548|686|
|45-49<br>94|<br>105|126|153|185|227|283|338|409|<br>529|
|50-54<br>79|87|98|117|142|173|213|267|321|390|
|55-59<br>65|72|79|89|107|130|159|197|248|300|
|60-64<br>51|57|63|69|78|95|116|142|177|225|
|65-69<br>36|42|47|52|**58**|66|80|98|121|152|
|70-74<br>25|27|31|35|40|44|50|62|77|96|
|75+<br>21|24|28|32|36|41|47|55|66|83|
|TOTAL<br>3297|3973|4735|5617|6649|7792|9041|10370|11740|<br>13095|
|FEMALES||||||||||
|0-4<br>674|827|926|1059|1223|1355|1482|1586|1652|1666|
|5-9<br>510|646|799|902|1039|1201|1334|1462|1567|1635|
|10-14<br>442|501|636|789|893|1030|1192|1325|1453|1559|
|15-19<br>373|434|493|627|779|882|1019|1180|1314|1443|
|20-24<br>308|364|425|483|615|765|R68|<br>1004|1165|<br>1300|
|25-29<br>249|299|354|413|470|600|749|852|987|1149|
|30-34<br>199|240|290|343|401|457|585|732|836|972|
|35-39<br>157|191|232|279|332|388|445|571|716|820|
|40-44<br>127|<br>150|<br>184|<br>222|<br>269|320|376|432|556|701|
|45-49<br>104|<br>121|<br>143|<br>175|<br>213|<br>258|<br>308|<br>363|<br>419|<br>541|
|50-54<br>84|98|<br>114|<br>135|<br>166|<br>202|<br>246|<br>295|<br>350|<br>405|
|55-59<br>60|78|<br>91|<br>106|<br>126|<br>155|<br>190|<br>232|<br>280|<br>333|
|60-64<br>46|54|70|<br>82|<br>96|<br>115|<br>142|175|215|261|
|65-69<br>33|39|46|60|71|83|100|125|155|<br>192|
|70-74<br>22|26|30|36|47|56|67|81|103|129|
|75.<br>19|23|28|33|39|51|63|78|97|123|
|TOTAL<br>3407|4093|4862|5747|6777|7918|9165|10493|11865|13229|
|BIRTHRATE|50.2|46.3|44.0|42.4|39.8|37.2|34.4|31.3|28.0|
|DEATH RATE|13.2|11.5|10.2|9.0|8.3|7.7|7.1|6.6|6.2|
|RATE OF NAT. INC.|3.70|3.47|3.38|3.33|3.14|2.95|2.73|2.47|2.18|
|NETMIGRATION<br>RATE|.0|.0|.0|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|3.70|3.47|3.38|3.33|3.14|2.95|2.72|2.47|2.18|
|TOTAL FERTILITY|6.750|6.460|6.170|5.880|5.370|4.860|4.350|3.840|3.330|
|NRR|2.630|2.583|2.537|2.482|2.299|2.111|1.916|1.716|1.509|
|e(0) * BOTH SEXES|53.18|54.93|56.63|58.28|59.60|60.97|62.39|63.87|65.40|
|e10) * BOTH SEXES|52.01|52.52|52.91|53.33|54.35|55.42|56.52|57.67|58.85|
|IMR- BOTH SEXES|79.9|69.5|58.6|48.4|45.2|42.0|38.8|35.5|32.3|
|q(5)- BOTH SEXES<br>DEP. RATIO<br>104.|.1273<br>1<br>106.|.1086<br>4<br>107.|.0894<br>1<br>103.|.0716<br>6<br>98.|.0664<br>0<br>93.|.0611<br>0<br>87.4|.0559<br> <br>80.7|.0506<br> <br>74.|.0453<br>0<br>67.1|
159 ZASBIA Frojection (000s) with NRR-l by 2045

# Summury for 25 Year Periods

|....<br>..........................................................................<br>AGE GROUP<br>1985|...........................<br>2000|2025|2050|2075|2100|2125|2150|
|---|---|---|---|---|---|---|---|
|.................<br>......................|................................|||||..<br>@.....|.|
|TOTAL NF<br>6704|11365|23605|36057|45547|49515|50388|50776|
|MALES||||||||
|0-4<br>688|1078|1683|1579|1602|1617|1621|<br>1622|
|5-9<br>519|912|1591|1555|1608|1620|1621|<br>1620|
|10-14<br>429|795|1474|1,626|1627|i622|1618|<br>1617|
|15-19<br>357|635|1330|1661|1633|1614|<br>1612|<br>1614|
|20-24<br>280|<br>487|<br>1174|<br>1650|<br>1605|<br>1597|<br>1606|<br>1611|
|25-29<br>222|395|987|1613|1554|1584|<br>1603|<br>1609|
|30-34<br>177|323|829|<br>1522|1529|<br>1588|<br>1605|<br>1606|
|35-39<br>141|250|705|<br>1392|<br>1591|<br>1602|<br>1602|<br>1600|
|40-44<br>112|<br>195|548|1237|1615|1600|1588|<br>1589|
|45-49<br>94|153|409|1073|1589|<br>1560|<br>1561|<br>1572|
|50-54<br>79|<br>117|<br>321|<br>879|<br>1523|<br>1486|<br>1526|<br>1548|
|55-59<br>65|89|248|706|1384|1416|<br>1486|<br>1506|
|60-64<br>51|69|177|558|1187|1392|1421|1428|
|65-69<br>36|52|121|385|948|1283|1298|1296|
|'0-74<br>25|35|77|238|691|1075|1086|<br>1097|
|75+<br>21|<br>32|<br>66|<br>219|<br>715|<br>1467|<br>1640|<br>1722|
|TOTAL<br>3297|<br>5617|<br>11740|<br>17892|<br>22399|<br>24123|<br>24495|<br>24657|
|FEMALES||||||||
|0-4<br>674|<br>1059|<br>1652|<br>1551|<br>1572|<br>1583|<br>1586|<br>1585|
|5-9<br>510|<br>902|<br>1567|<br>1532|<br>1581|<br>1589|<br>1587|<br>1585|
|10-14<br>442|<br>789|<br>1453|<br>1603|<br>1602|<br>1593|<br>1586|<br>1584|
|15-19<br>373|<br>627|<br>1314|<br>1641|<br>1612|<br>1588|<br>1582|<br>1583|
|20-24<br>308|<br>483|<br>1165|<br>1636|<br>1589|<br>1575|<br>1579|1583|
|25-29<br>249|<br>'13|<br>987|<br>1606|<br>1543|<br>1568|<br>1581|<br>1584|
|30-34<br>199|<br>343|<br>836|<br>1521|<br>1523|<br>1576|<br>1587|<br>1585|
|35-39<br>157|<br>279|<br>716|<br>1397|<br>1591|<br>1596|<br>1589|<br>1583|
|40-44<br>127|<br>222|<br>556|<br>1248|<br>1622|<br>1602|<br>1582|<br>1578|
|45-49<br>104|<br>,<br>175|<br>419|<br>1092|<br>1607|<br>1573|<br>1566|<br>1571|
|50-54<br>84|135|<br>350|<br>909|<br>1560|<br>1516|<br>1549|<br>1565|
|55-59<br>60|106|<br>280|<br>749|<br>1450|<br>1476|<br>1541|<br>1555|
|60-64<br>46|82|<br>215|<br>616|<br>1290|<br>1505|<br>1530|<br>1530|
|65-69<br>33|60|<br>155|<br>444|<br>1088|<br>1467|<br>1478|<br>1470|
|70-74<br>22|36|<br>103|<br>292|<br>855|<br>1330|<br>1343|<br>1351|
|75+<br>19|33|97|329|1062|2256|2628|2778|
|TOTAL<br>3407|<br>5747|<br>11865|<br>18165|<br>23148|<br>25392|<br>25893|<br>26069|
|BIRTH RATE|46.5|36.2|22.2|15.8|13.5|12.9|12.8|
|DEATH RATE|11.4|7.6|5.6|6.6|10.2|12.2|12.5|
|NET MIGRATION RATE|.0|.0|.0|.0|.0|.0|.0|
|GROWTH RATE|3.52|2.92|1.69|.93|.33|.07|.03|
|TOTAL FERTILITY|6.430|4.684|2.553|2.061|2.048|2.040|2.039|
|eCO)- B0TH SEXES|55.11|61.42|69.00|74.85|76.87|78.29|78.66|
|IMR- BOTH SEXES|68.6|41.5|26.0|14.4|10.1|7.3|6.8|
160

|ZINBABWE<br>........<br>.............<br>._|....|....|ProJ<br>........|ection**(O0O**<br>...|**s)**|with**HRR-**<br>.....|**1**b<br>...|y2015<br>.<br>..|.|..<br>.<br>....|..<br>...|....<br>.|.....|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|AGE GROUP<br>lqs8||1990|<br>1995|2000||2005||2010||2015|<br>2020|<br>2025|<br>2030|
|........................................................||||.....|........|.............................|........|.............................|........|.........||||
|TOTAL M.F<br>8406||9925|11461|<br>12961||14488||15976||17334|<br>18636|<br>19923|<br>21148|
|MALES||||||||||||||
|0-4<br>850||888|895|878||097||898||855|<br>854|<br>878|<br>885|
|5-9<br>585||837|880|890||874||893||894|<br>852|<br>851|<br>876|
|10-14<br>560||581|833|877||888||872||891|<br>892|<br>850|<br>850|
|15-19<br>469||555|577|829||873||884||869|888|<br>889|<br>847|
|20-2'<br>379||462|548|572||82||867||878|863|883|<br>885|
|2c-29<br>318||372|45s|542||566||815||859|871|857|<br>877|
|30-34<br>252||312|366|449||536||561||807|<br>852|<br>865|<br>852|
|35-39<br>187||246|305|360||443||530||555|<br>799|<br>845|<br>858|
|40-44<br>148||181|240|299||354||436||52|547|<br>789|<br>835|
|45-49<br>121||142|175|233||292||346||'27|511|<br>536|<br>775|
|50-54<br>96||114|135|167||224||281||333|413|495|<br>521|
|55-59<br>74||88|106|126||157||211||265|316|392|<br>472|
|60-64<br>57||66|79|95||114||143||193|<br>244|291|<br>363|
|65-69<br>41||48|55|67||82||99||125|<br>168|<br>214|<br>257|
|70-74<br>26||31|37|43||53||65||79|101|<br>137|<br>175|
|75,<br>30||32|35|40||48||59||73|<br>91|115|<br>154|
|TOTAL<br>4199||4957|5722|6466||7223||7958||8625|<br>9262|<br>9888|<br>10480|
|bt4ALES||||||||||||||
|0-4<br>839||873|879|860||877||878||836|<br>83M|<br>860|<br>867|
|5-9<br>584||828|867|875||858||875||876|84|834|<br>858|
|10-14<br>558||581|826|865||874||856||8Pt4|<br>875|834|<br>834|
|15-19<br>468||554|578|823||864||872||855|872|874|<br>833|
|20-24<br>381||463|549|575||820||861||869|853|870|<br>872|
|25-29<br>320||375|457|545||572||816||857|866|850|<br>868|
|30-34<br>252||314|370|453||541||569||812|853|863|<br>847|
|35-39<br>188||247|309|366||449||537||565|807|849|<br>859|
|40-44<br>150||183|242|305||362||445||532|560|801|<br>843|
|45-49<br>123||145|179|237||300||356||439|526|554|<br>793|
|50-54<br>98||118|140|173||231||293||349|430|516|<br>545|
|55-59<br>78||92|112|134||167||223||284|338|418|<br>503|
|60-64<br>57||71|85|105||126||158||212|270|324|<br>401|
|65-69<br>40||50|63|76||95||115||145|1ss|250|<br>301|
|70-74<br>27||32|41|53||65||81||99|126|170|<br>220|
|75+<br>43<br> <br>||39<br>|42<br>|50<br>||65||82||105|<br>132|168|<br>225|
|TOTAL<br>4207||4968|5739|6494||7265||8018||8708|9374|<br>10035|<br>10668|
|BIRTH RATE||40.8|34.6|29.4||26.5||23.9||20.7|19.2|18.4|17.3|
|**DEATH**RATE||7.6|5.8|4.8||4.2||4.3||4.4|4.7|5.0|5.4|
|RATE OF NAT. INC.||3.32|2.88|2.46||2.23||1.96||1.63|1.45|1.34|1.19|
|NETMIHRATION<br>RATE||.0|.0|.0||.0||.0||.0|.0|.0|**.0**|
|GROWTH<br>RATE||3.32|2.88|2.46||2.23||1.96||1.63|1.45|1.34|1.19|
|TOTALFERTILITY|5|.400|<br>4.550|<br>3.700|3|<br>.126||<br>2.642||<br>2.232|<br>2.087|<br>2.080|2.074|
|NRR|2|.380|2.078|1.730|1|.485||1.258||1.066|1.000|1.000|1.000|
|**eCO)**BOTH SEXES|6|2.46|65.45|68.03|7|0.22|7|0.86||71.52|72.19|72.88|73.58|
|**e10O)**- BOTH SEXES|5|7.34|58.75|60.52|6|2.19|6|2.72||63.26|63.82|64.39|64.98|
|**IHR**- BOTH SEXES||51.6|36.4|27.5||21.7||20.4||19.1|17.8|16.4|15.1|
|q(S)-BOTH SEXES||0676|0449|0330||0255||0239||0223|0207|0191|0175|
|<br>DEP. RATIO<br>99.4|.|<br>94.5|.<br>90.7|.<br>75.5|.<br>|<br>64.4|.<br>|<br>56.6|<br>|.<br>51.0|.<br> <br>47.0|.<br> <br>44.8|.<br> <br>44.4|
161 Projection (000s) with NRRuI by 2015

# ZIMBABWE

# Summary for 25 Year Periods

|AGE GRCJP<br>1985|2000|2025|2050|2075|2100|2125|2150|
|---|---|---|---|---|---|---|---|
|TOTAL M'F<br>8406|12961|19923|24969|26856|27223|27375|27435|
|MALES||||||||
|0-4<br>850|878|878|868|870|873|873|874|
|5-9<br>585|890|851|865|870|872|873|873|
|10-14<br>560|877|850|869|872|872|872|872|
|**15-19**<br>469|829|889|876|871|870|870|871|
|2)-24<br>379|572|883|877|866|866|868|869|
|23-29<br>318|542|857|866|860|663|866|867|
|30-34<br>252|_40_|865|837|855|862|865|865|
|35-39<br>187|360|845|831|857|862|862|863|
|40-44<br>14|299|789|864|861|858|858|858|
|45-49<br>121|233|536|849|855|847|849|851|
|50-54<br>96|167|495|809|831|829|834|837|
|55-59<br>74|126|392|787|780|801|810|813|
|60-64<br>57|95|291|722|733|762|769|<br>771|
|65-69<br>41|67|214|607|694|700|702|<br>703|
|70-74<br>26|43|137|348|582|597|597|600|
|75+<br>36|40|115|403|834|908|939|952|
|TOTAL<br>4199|6466|9888|12277|13092|13242|13308|<br>13337|
|FEMALES||||||||
|0-4<br>839|860|860|850|852|853|854|853|
|5-9<br>584|875|834|848|853|854|854|853|
|10-14<br>558<br> <br>|865<br>|834<br>|853<br>|855<br>|854<br>|853<br>|853<br>|
|15-19<br>468|823|874|861|856|854|853|853|
|20-24<br>381|575|870|864|853|852|853|853|
|25-29<br>320|545|850|855|849|851|853|853|
|30-34<br>252|453|863|829|846|852|853|853|
|35-39<br>188|366|849|827|850|854|853|852|
|40-44<br>150|305|801|863|857|854|851|851|
|45-49<br>123|237|554|854|857|848|848|849|
|50-54<br>98|173|516|826|843|839|843|845|
|55-59<br>78|134|418|824|807|828|836|837|
|60-64<br>57|105|324|787|787|816|823|823|
|65-69<br>40|76|250|703|787|792|795|794|
|70-74<br>27|53|170|439|716|734|734|<br>737|
|75+<br>43|50|168|610|1294|1446|1513|1538|
|TOTAL<br>4207|6494|10035|12692|13764|13981|14067|<br>14098|
|BIRTH RATE|34.4|21.4|15.5|13.3|12.9|12.7|12.7|
|DEATH RATE|5.9|4.6|6.6|10.4.|12.3|12.5|12.6|
|NET MIGRATION RATE|.0|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|2.89|1.72|.90|.29|.05|.02|.01|
|TOTAL FERTILITY|4.448|2.378|2.061|2.042|2.040|2.039|2.038|
|**e(O)**<br>**-** BOTH SEXES|65.58|71.64|75.12|77.64|78.35|78.83|78.95|
|**IM-** BOTH SEXES|38.7|19.1|12.5|8.1|7.2|6.6|6.4|
# NONBORROWERS
164

|ANGOLA||Proje|ction(000|s)<br>withNRRA|Ib|y 2050|||||
|---|---|---|---|---|---|---|---|---|---|---|
|AGE GROLW<br>1985|199C|<br>1995|<br>2000|<br>2005||2010|<br>2015|<br>2020|2025|<br>2030|
|TOTAL M*F<br>8754|10013|<br>11540|<br>13474|<br>15675||18060|<br>20671|<br>23531|<br>26o"4|29775|
|MALES|||||||||||
|0-4<br>792|913|1067|<br>1295|<br>1456||1575|<br>1713|<br>1864|<br>1995|<br>2069|
|5-9<br>633|716|836|990|1218||1378|<br>1499|<br>1639|<br>1793|<br>1930|
|10-14<br>525|<br>612|<br>695|<br>814|<br>969||1193|<br>1352|<br>1474|<br>1615|<br>1770|
|15-19<br>436|<br>512|<br>598|<br>679|<br>797||950|<br>1173|<br>1331|<br>1454|<br>1595|
|20-24<br>368|<br>422|<br>496|<br>580|<br>659||776|<br>927|<br>1147|<br>1305|<br>1428|
|25-29<br>309|353|406|477|559||637|<br>752|<br>901|1118|<br>1276|
|30-34<br>259|296|339|390|459||539|<br>617|<br>731|878|<br>1092|
|35-39<br>222|247|283|325|373||441|<br>520|<br>597|709|<br>855|
|40-44<br>186|<br>210|<br>234|<br>269|<br>309||357|<br>423|<br>500|<br>576|<br>687|
|45-49<br>157|<br>174|<br>197|<br>220|<br>253||292|<br>339|<br>403|<br>479|<br>554|
|50-54<br>129|<br>145|<br>161|<br>182|<br>204||236|<br>273|<br>318|<br>380|<br>453|
|55-59<br>103|<br>116|<br>131|<br>146|<br>165||186|<br>215|<br>251|<br>293|<br>352|
|60-64<br>79|<br>89|<br>101|<br>114|<br>127||145|<br>164|<br>191|<br>223|<br>263|
|65-69<br>56|64|<br>73|<br>83|<br>94||106|<br>121|<br>137|<br>161|<br>189|
|70-74<br>35|<br>41|<br>48|<br>54|<br>62||71|<br>80|<br>92|<br>106|<br>125|
|75.<br>26|<br>32|<br>39|<br>46|<br>53||62|<br>72|<br>83|<br>97|<br>114|
|TOTAL<br>4316|<br>4941|<br>5700|<br>6663|<br>7758||8944|<br>10240|<br>11660|<br>13184|<br>14753|
|FEMALES|||||||||||
|0-4<br>789|<br>911|<br>1061|<br>1284|<br>1440||1557|<br>1693|<br>1841|<br>1971|<br>2042|
|5-9<br>636|<br>716|<br>837|<br>989|<br>1214||1370|<br>1489|<br>1628|<br>1780|<br>1915|
|10-14<br>529|<br>615|<br>696|<br>816|<br>969||1191|<br>1346|<br>1467|<br>1607|<br>1760|
|15-19<br>440|<br>516|<br>601|<br>681|<br>801||952|<br>1173|<br>1328|<br>1450|<br>1590|
|20-24<br>375|<br>428|<br>502|<br>586|<br>665||784|<br>935|<br>1153|<br>1308|<br>1431|
|25-29<br>319|<br>363|<br>415|<br>488|<br>570||649|<br>767|<br>916|<br>1133|<br>1288|
|30-34<br>270|<br>308|<br>351|<br>401|<br>472||554|<br>632|<br>749|<br>896|<br>1112|
|35-39<br>228|<br>258|<br>295|<br>337|<br>387||457|<br>537|<br>614|<br>730|<br>878|
|40-44<br>195|<br>217|<br>246|<br>283|<br>323||372|<br>441|<br>520|<br>597|<br>712|
|45-49<br>166|<br>184|<br>206|<br>235|<br>269||309|<br>357|<br>425|<br>503|<br>579|
|50-54<br>140|<br>155|<br>173|<br>194|<br>222||256|<br>295|<br>341|<br>407|<br>484|
|55-59<br>115|<br>128|<br>144|<br>161|<br>180||207|<br>239|<br>277|<br>322|<br>386|
|60-64<br>91|<br>102|<br>115|<br>129|<br>145||163|<br>188|<br>219|<br>255|<br>298|
|65-69<br>67|76|<br>86|<br>97|<br>110||124|<br>141|<br>164|<br>192|<br>226|
|70-74<br>44|51|<br>58|<br>67|<br>76||86|<br>99|<br>113|<br>133|<br>158|
|75+<br>36|<br>44|<br>53|<br>62|<br>73||85|<br>99|<br>115|<br>135|<br>161|
|TOTAL<br>4438|<br>5072|<br>5840|<br>6811|<br>7917||9116|<br>10430|<br>11871|<br>13420|<br>15022|
|BIRTH RATE|47.1|46.9|47.9|45.1||41.8|39.1|36.9|34.5|31.5|
|DEATH RATE|20.3|18.5|16.9|14.9||13.4|12.1|11.0|10.0|9.0|
|RATE OF NAT. INC.|2.69|2.84|3.10|3.03||2.83|2.70|2.59|2.46|2.25|
|NET MIGRATION<br>RATE|.0|.0|.0|.0||.0|.0|.0|.0|.0|
|GRoWTH<br>RATE|2.69|2.84|3.10|3.03||2.83|2.70|2.59|2.45|2.25|
|TOTAL FERTILITY|6.400|6.565|6.730|6.385||5.875|5.365|4.855|4.345|3.835|
|NRR|2.110|2.247|2.409|2.389||2.253|2.110|1.958|1.796|1.625|
|et0)- BOTH SEXES|44.49|46.75|49.04|51.34||53.00|54.73|56.52|58.38|60.31|
|e(1O)- BOTH SEXES|49.97|50.93|51.56|52.08||53.07|54.08|55.13|56.22|57.34|
|IMR- BOTH SEXES|136.9|123.6|109.4|94.9||87.9|80.9|73.9|66.9|59.9|
|q(5)-BOTH SEXES|2315|2082|1817|1544||1424|1302|1179|1056|0931|
|<br>DEP. RATIO<br>90.9|.<br> <br>91.8|.<br> <br>92.6|.<br> <br>96.0|.<br> <br>97.4|<br>|<br>95.0|.<br> <br>88.5|.<br> <br>82.2|.<br> <br>77.1|.<br> <br>72.0|
165 ANGOLA

# Projection **(000s)** with **NRR-1** by 2050

Sumnry for 25 Year Periods

|AGE GROUP<br>1985|<br>2000|2025|<br>2050|2075|2100|2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTAL<br>M+F<br>8754|<br>13474|<br>26604|<br>41379|<br>52986|<br>58739|<br>60335|<br>61007|
|MALES||||||||
|0-4<br>792|1295|<br>1995|<br>1880|<br>1940|<br>1956|<br>1958|<br>1958|
|5-9<br>633|990|1793|<br>1947|<br>1959|<br>1958|<br>1955|<br>1954|
|10-14<br>525|814|1615|<br>1989|<br>1972|<br>1951|<br>1948|<br>1951|
|15-19<br>436|679|1454|<br>1992|<br>1947|<br>1931|<br>194'|1948|
|20-24<br>368|580|1305|<br>1963|<br>1874|<br>1913|<br>1936|<br>1945|
|25-29<br>309|477|1118|<br>1852|<br>1836|<br>1912|<br>1938|<br>1942|
|30-34<br>259|390|878|1686|<br>1899|<br>1928|<br>1937|<br>1936|
|35-39<br>222|325|709|1504|<br>1928|<br>1933|<br>1925|<br>1925|
|40-44<br>186|<br>269|576|1331|<br>1915|<br>1898|<br>1898|<br>1911|
|45-49<br>157|<br>220|479|1171|<br>1863|<br>1810|<br>1866|<br>1894|
|50-54<br>129|<br>182|380|975|1718|<br>1741|<br>1837|<br>1868|
|55-59<br>103|146|293|727|1499|<br>1739|<br>1796|<br>1814|
|60-64<br>79|114|223|542|12.4|1661|<br>1705|<br>1710|
|65-69<br>56|83|161|<br>387|980|1490|<br>1525|<br>1542|
|70-74<br>35|54|106|<br>262|715|1225|<br>1244|<br>1302|
|75+<br>26|46|97|240|704|1535|<br>1893|<br>2039|
|TOTAL<br>4316|<br>6663|13184|<br>20447|<br>25991|<br>28580|<br>29303|<br>29639|
|FEMALES||||||||
|0-4<br>789|1284|<br>1971|<br>1854|<br>1909|<br>1917|<br>1916|<br>1914|
|5-9<br>636|989|1780|<br>1928|<br>1933|<br>1924|<br>1916|<br>1913|
|10-14<br>529|816|1607|<br>1973|<br>1950|<br>1920|<br>1912|<br>1911|
|15-19<br>440|681|1450|<br>1982|<br>1931|<br>1905|<br>1907|<br>1911|
|20-24<br>375|586|1308|<br>1962|<br>1867|<br>1894|<br>1907|<br>1913|
|25-29<br>319|488|1133|<br>1861|<br>1837|<br>1900|<br>'915|1914|
|30-34<br>270|401|896|1704|<br>1907|<br>1924|<br>1920|<br>1913|
|35-39<br>228|337|730|1528|<br>1946|<br>1937|<br>1915|<br>1908|
|40-44<br>195|<br>283|597|1362|<br>1944|<br>1913|<br>1898|<br>1901|
|45-49<br>166|<br>235|503|1211|<br>1908|<br>1839|<br>1880|<br>1896|
|50-54<br>140|<br>194|407|1027|<br>1784|<br>1793|<br>1874|<br>1893|
|55-59<br>115|<br>161|322|787|1596|<br>1833|<br>1875|<br>1879|
|60-64<br>91|129|255|611|1376|<br>1819|<br>1848|<br>1839|
|65-69<br>67|97|192|<br>459|1147|<br>1727|<br>1752|<br>1756|
|70-74<br>44|67|133|<br>333|902|1538|<br>1551|<br>1611|
|75+<br>36|62|135|<br>352|1059|<br>2377|<br>3046|<br>3294|
|TOTAL<br>4438|<br>6811|13420|<br>20933|<br>26995|<br>30160|<br>31032|<br>31368|
|BIRTH RATE|47.3|38.8|24.6|16.7|13.9|13.1|12.8|
|**DEATH**RATE|18.4|12.0|7.3|6.9.|9.8|12.0|12.4|
|**NET**MIGRATION<br>RATE|.0|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|2.88|2.72|1.77|.99|.41|.11|.04|
|TOTALFERTILITY|6.578|5.202|2.876|2.085|2.058|2.041|2.040|
|**e(O)**- BOTH<br>SEXES|46.98|55.26|64.88|72.47|75.58|77.80|78.38|
|INR- BOTH<br>SEXES|121.9|79.9|46.4|21.6|13.3|8.0|7.2|
166

|NAI4IDA<br>.............................................................................|.............................|Proj<br>........................|ection (000s)|withNRR-1_b_|_y_2030|||||
|---|---|---|---|---|---|---|---|---|---|
|AGECROUP<br>19835|1990|<br>1995|<br>2000|2005|2010|2015|2020|<br>2025|2030|
|TOTAL M.F<br>1143|1345|<br>1559|<br>1795|2053|2327|2604|2872|<br>3119|<br>3341|
|MALES||||||||||
|0-4<br>103|124|<br>130|<br>142|l55|165|170|169|<br>162|<br>153|
|S-9<br>82|100|<br>120|<br>128|140|153|163|169|<br>167|<br>161|
|10*14<br>69|81|<br>99|<br>120|127|139|152|163|<br>168|<br>166|
|15-19<br>58|68|<br>81|<br>99|119|126|139|152|<br>162|<br>167|
|20-24<br>50|57|<br>67|<br>80|98|118|125|138|<br>150|<br>161|
|25-29<br>42|49|<br>56|66|79|97|117|124|<br>136|<br>149|
|30-34<br>34|41|<br>48|<br>55|66|78|96|115|<br>123|<br>135|
|35-39<br>28|34|<br>40|<br>47|54|65|77|95|<br>114|<br>122|
|40-44<br>22|28|<br>33|<br>39|46|53|64|76|<br>93|<br>113|
|45-49<br>20|21|<br>27|<br>32|38|45|52|62|<br>74|<br>91|
|50-54<br>16|19|<br>20|<br>25|30|36|43|50|<br>60|<br>72|
|55-59<br>13|15|<br>18|<br>19|24|29|34|41|<br>48|<br>57|
|60-64<br>10|12|<br>13|<br>16|17|21|26|31|<br>37|<br>44|
|65-69<br>7|8|<br>10|<br>11|13|15|18|22|<br>27|<br>33|
|70-74<br>5|5|<br>6|<br>7|9|11|12|15|<br>18|<br>22|
|75.<br>4|5|<br>5|<br>7|8|9|11|13|<br>16|<br>20|
|TOTAL<br>564|666|<br>774|<br>892|1023|1160|1300|1433|<br>1557|<br>1666|
|FEMALES||||||||||
|0-4<br>102|123|<br>129|<br>140|153|163|168|166|<br>159|<br>151|
|5-9<br>83|99|<br>120|<br>127|139|151|161|166|<br>165|158|
|10-14<br>69|82|<br>98|<br>119|126|138|150|161|<br>166|<br>164|
|15-19<br>59|68|<br>81|<br>98|118|125|137|150|<br>160|<br>165|
|20-24<br>50|58|<br>67|<br>81|97|118|124|137|<br>149|<br>159|
|25-29<br>41|49|57|66|80|96|116|123|<br>136|18|
|30-34<br>35|41|<br>48|<br>56|66|79|95|115|<br>122|<br>135|
|35-39<br>29|34|<br>40|<br>47|55|65|78|94|<br>114|<br>121|
|40-44<br>24|28|<br>34|<br>39|46|54|64|77|<br>93|<br>113|
|45-49<br>21|23|<br>28|<br>33|38|45|53|62|<br>76|<br>91|
|50-54<br>18|20|<br>22|<br>27|32|37|44|52|<br>61|<br>74|
|55-59<br>15|17|<br>19|<br>21|25|30|35|42|<br>50|<br>59|
|60-64<br>12|14|<br>16|18|20|24|28|33|40|47|
|65-69<br>9|10|<br>12|<br>14|15|17|21|25|30|36|
|70-74<br>6|7|<br>8|<br>9|11|13|14|18|<br>21|<br>25|
|75.<br>S<br> <br>|6<br>|<br>7<br>|<br>9<br>|10|13|15|18|<br>22|<br>27|
|TOTAL<br>579|679|785|902|1031|1167|1305|1438|<br>1563|<br>1674|
|BIRTH RATE<br>|44.9|39.8|37.0|34.6|32.2|2;.3<br>|25.9|22.6|19.7|
|DEATH RATE<br>|12.3|10.4|8.8|7.7|7.2|<br>6.7|6.3|6.1|6.0|
|RATE OF MAT. INC.<br>|3.26|2.95|2.82|2.69|2.50|2.25|1.96|1.65|1.37|
|NET MIGRATION<br>RATE|.0|.0|.0|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE<br>|3.26|2.95|2.82|2.69|2.50|2.25<br>|1.95|1.65|1.37|
|TOTAL FERTILITY<br>6|.090|5.580|5.070<br>4|.560<br>4|.050<br>|3.540<br>3|.052|2.632|2.269|
|NRR<br>2|.456|2.313|2.165<br>2|.001<br>|1.797<br>|1.588<br>1|.384|1.206|1.050|
|e(0)- BOTH SEXES<br>5|6.25|58.85|61.29<br>6|3.55<br>6|4.62<br>|65.72<br>6|6.84|68.00|69.19|
|e(I0)<br>- BOTH SEXES<br>5|5.80|57.38|58.63<br>5|9.65<br>6|0.27<br>|60.90<br>6|1.56|62.23|62.93|
|IMR- BOTH SEXES<br>1<br> <br>|05.9<br>|93.6|80.6|67.9|62.3|56.7<br>|51.1|45.5|39.9|
|q(5)- BOTH SEXES<br>.|1378|.1203|.1017<br>.|0834<br>.|0764<br>|0695<br>.0|626|.0556|.0486|
|<br>DEP. RATIO<br>90.9|93.7|91.6|<br> <br> <br>86.4|<br> <br>79.0|<br> <br>73.6|<br> <br>68.3|<br>62.4|<br> <br>56.1|<br>50.2|
167 ..

# NAN! BIA

ProJection (000s) with NRR **l** by 2030 Summary for 25 Year Periods

|...................<br>.............<br>AGE GROJP<br>1985|..........................<br> <br>2000|2025|<br>2050|_**.**. ..........................................<br> <br>2075|..................................................<br> <br>2100|.....<br> <br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTALM+F<br>1143|<br>1795|<br>3119|<br>4178|<br>4792|<br>4946|<br>5005|<br>5028|
|KALES||||||||
|0-4<br>103|<br>142|162|<br>162|<br>161|<br>160|<br>160|<br>160|
|5-9<br>82|<br>128|167|<br>163|<br>160|<br>160|<br>160|<br>160|
|10-14<br>69|120|168|<br>161|<br>159|<br>159|<br>160|<br>160|
|15-19<br>58|99|<br>162|<br>154|<br>157|<br>159|<br>160|<br>160|
|20-24<br>50|80|150|<br>151|<br>157|<br>159|<br>160|<br>160|
|25-29<br>42|66|136|<br>158|<br>160|<br>160|<br>159|<br>159|
|30-34<br>34|<br>55|<br>123|<br>163|<br>161|<br>159|<br>158|<br>159|
|35-39<br>28|<br>47|<br>114|<br>163|<br>158|<br>156|<br>15?|<br>158|
|40-44<br>22|<br>39|<br>93|<br>156|<br>151|<br>154|<br>157|<br>158|
|45-49<br>20|<br>32|<br>74|<br>144|<br>146|<br>154|<br>156|<br>156|
|50-54<br>16|<br>25|<br>60|<br>127|<br>151|<br>154|<br>154|<br>154|
|55-59<br>13|<br>19|<br>48|<br>110|<br>150|<br>150|<br>149|<br>149|
|60-64<br>10|<br>16|<br>37|<br>96|<br>142|<br>140|<br>139|<br>141|
|65-69<br>7|<br>11|<br>27|<br>70|<br>123|<br>121|<br>126|<br>128|
|70-74<br>5|<br>7|<br>18|<br>46|<br>96|<br>101|<br>108|<br>110|
|75+<br>4|<br>7|<br>16|<br>46|<br>116|<br>163|<br>171|<br>174|
|TOTAL<br>564|<br>892|<br>1557|<br>2072|<br>2350|<br>2409|<br>2434|<br>2445|
|FEMALES||||||||
|0-4<br>102|<br>140|<br>159|<br>159|<br>158|<br>157|<br>157|<br>157|
|5-9<br>83|<br>127|<br>165|<br>161|<br>157|<br>156|<br>157|<br>157|
|10-14<br>69|<br>119|<br>166|<br>159|<br>156|<br>156|<br>157|<br>157|
|15-19<br>59|<br>98|<br>160|<br>152|<br>155|<br>156|<br>157|<br>157|
|20-24<br>50|<br>81|<br>149|<br>149|<br>155|<br>157|<br>157|<br>157|
|25-29<br>41|<br>66|<br>136|<br>157|<br>158|<br>158|<br>157|<br>157|
|30-34<br>35|<br>56|<br>122|<br>162|<br>160|<br>157|<br>156|<br>156|
|35-39<br>29|<br>47|<br>114|<br>163|<br>158|<br>155|<br>156|<br>156|
|40-44<br>24|<br>39|<br>93|<br>156|<br>151|<br>154|<br>156|<br>156|
|45-49<br>21|<br>33|<br>76|<br>144|<br>147|<br>154|<br>156|<br>156|
|50-54<br>18|<br>27|<br>61|<br>129|<br>154|<br>156|<br>156|<br>155|
|55-59<br>15|<br>21|<br>50|<br>114|<br>156|<br>156|<br>154|<br>153|
|60-64<br>12|<br>18|<br>40|<br>103|<br>152|<br>150|<br>149|<br>150|
|65-69<br>9|<br>14|<br>30|<br>78|<br>139|<br>138|<br>143|<br>145|
|70-74<br>6|<br>9|<br>21|<br>56|<br>116|<br>124|<br>132|<br>135|
|75+<br>5|<br>9|<br>22|<br>64|<br>170|<br>252|<br>273|<br>279|
|TOTAL<br>579|<br>902|<br>1563|<br>2106|<br>2442|<br>2537|<br>2571|<br>2583|
|BIRTH<br>RATE|40.2|28.2|17.8|14.1|13.1|12.8|12.7|
|tEA;H<br>RATE|10.3|6.7|6.2|8.7.|11.8|12.3|12.5|
|NETMIGRATION<br>RATE|.0|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|3.01|2.21|1.17|.55|.13|.05|.02|
|TOTAL<br>FERTILITY|5.524|3.429|2.136|2.051|2.044|2.039|2.039|
|oCO)- BOTH SEXES|59.04|65.99|71.85|76.22|77.60|78.57|78.81|
|IMR- BOTH SEXES|92.9|56.7|28.6|10.9|8.5|6.9|6.6|
168 REUNION Projection (000s) with NRR-1 by 1995

|AGE GROLP<br>1985<br>...................<br>............|<br>1990<br>......|<br>1995<br>2000<br>..<br>. .......<br>.....<br>....<br>...<br>..<br>|2005<br>...<br>.......<br>....|2010<br>....<br>......................|2015<br>.........|2020|2025<br>...<br>................|<br>2030<br>..................|
|---|---|---|---|---|---|---|---|---|
|TOTALM+F<br>546|<br>594|<br>639<br>681|719|754|787|817|843|<br>863|
|MALES|||||||||
|0-4<br>26|32|31<br>30|29|29|30|30|30|<br>30|
|5-9<br>28|26|<br>32<br>31|30|29|29|29|30|<br>30|
|10-14<br>29|28|<br>26<br>32|31|30|29|29|29|<br>30|
|t5-19<br>33|29|<br>28<br>26|32|31|30|29|29|<br>29|
|20-24<br>32|33|<br>29<br>28|26|32|31|30|29|<br>29|
|25-29<br>27|32|33<br>28|27|25|31|31|29|<br>29|
|30-34<br>21|27|31<br>32|28|27|25|31|30|<br>29|
|35-39<br>17|20|26<br>31|32|28|27|25|31|<br>30|
|40-44<br>15|16|<br>20<br>26|31|31|28|27|25|<br>30|
|45-49<br>11|14|<br>1o<br>20|25|30|31|27|26|<br>24|
|50-54<br>9|11|<br>13<br>15|19|24|29|30|26|<br>25|
|55-59<br>7|<br>9|<br>10<br>13|14|18|23|27|28|<br>25|
|60-64<br>6|7|8<br>9|12|13|16|21|25|<br>26|
|65-69<br>4|<br>5|6<br>7|8|10|11|14|19|<br>22|
|70-74<br>3|<br>3|<br>4<br>4|5|6|8|9|12|<br>15|
|75+<br>3|<br>3|<br>4<br>5|5|6|7|9|11|<br>14|
|TOTAL<br>273|296|317<br>336|354|370|385|399|410|<br>419|
|FEMALES|||||||||
|0-4<br>26|31|30<br>29|29|28|29|29|29|<br>29|
|5-9<br>28|26|31<br>30|29|29|28|29|29|<br>29|
|10-14<br>29|28|26<br>31|30|29|28|28|29|<br>29|
|15-19<br>32|29|28<br>26|31|30|29|28|28|<br>29|
|20-24<br>31|32|29<br>28|26|31|30|29|28|<br>28|
|25-29<br>27|31|32<br>29|28|26|31|30|29|<br>28|
|30-31<br>21|27|31<br>32|29|28|25|31|30|<br>29|
|35-39<br>17|20|26<br>30|31|28|27|25|31|<br>30|
|40-44<br>14|17|<br>20<br>26|30|31|28|27|25|<br>31|
|45-49<br>12|14|<br>17<br>20|26|30|31|28|27|<br>25|
|50-54<br>10|12|14<br>17|20|26|30|31|28|<br>27|
|55-59<br>8|10|12<br>14|16|19|25|29|30|<br>27|
|60-64<br>6|<br>8|<br>10<br>11|13|16|19|24|28|<br>29|
|65-69<br>5|<br>6|<br>7<br>9|11|12|15|18|23|<br>27|
|70-74<br>3|<br>4|<br>5<br>6|8|9|11|13|16|<br>21|
|75+<br>4|<br>4|<br>6<br>7|9|11|14|17|20|<br>24|
|TOTAL<br>273|<br>298|<br>323<br>345|365|384|402|418|432|<br>444|
|BIRTH RATE|22.5|20.2<br>18.2<br>|16.7<br>|15.7<br>|15.3|14.9|14.5|13.9|
|DEATHRATE|5.6|5.5<br>5.5|5.7|6.2|6.8|7.5|8.2|9.1|
|RATE OF NAT. INC.|1.69|1.47<br>1.26<br>|1.10|.95|.85|.74|.62|.49|
|NET MIGRATION<br>RATE|.0|.0<br>.0|.0|.0|.0|.0|.0|.0|
|GROUTH<br>RATE|1.69|1.47<br>1.26<br>|1.09|.95|.85|.74|.62|.49|
|TOTAL FERTILITY|2.420|2.158<br>2.062<br>2|.057<br>2|.055<br>2|.053<br>2|.052<br>2|.050|2.048|
|NRR|1.165|1.044<br>1.000<br>1|.000<br>1|.000<br>1|.000<br>1|.000<br>1|.000|1.000|
|e(0O- BOTH SEXES|70.71|71.80<br>72.77<br>7|3.63<br>7|4.03<br>7|4.45<br>7|4.87<br>7|5.31|75.75|
|eCl0)- BOTH SEXES|61.93|62.86<br>63.70<br>6|4.46<br>6|4.86<br>6|5.26<br>6|5.68<br>6|6.10|66.52|
|IMR- BOTH SEXES|14.0|12.2<br>10.7|9.5|9.4|9.2|9.0|8.8|8.7|
|q(5)- BOTH SEXES|.0159|.0137<br>.0119<br>.0|106<br>.0|104<br>|0102<br>|0100<br>|0098|0096|
|<br>DEP. RATIO<br>52.6|<br>49.6|<br> <br> <br>48.0<br>48.2|<br> <br>45.2|<br> <br>43.7|<br> <br>43.8|<br> <br>45.4|<br>49.1|.<br> <br>53.6|
169 REUNION

# Projection (000s) with NRR-1 by 1995

Summary for 25 Year Periods

|..........................................................................<br>AMC GROUP<br>1985|...............................<br> <br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTAL14E<br>546|<br>681|843|902|921|927|<br>930|<br>932|
|MALES||||||||
|0-4<br>26|30|30|30|30|30|30|<br>30|
|5-9<br>28|31|30|30|29|30|30|30|
|10-14<br>29|32|29|29|29|30|30|<br>30|
|15-19<br>33|26|29|29|29|30|30|30|
|20-24<br>32|28|29|30|29|29|29|<br>29|
|25-29<br>27|28|29|30|29|29|29|<br>29|
|30-34<br>21|32|30|30|29|29|29|<br>29|
|35-39<br>17|31|31|29|29|29|29|29|
|40-44<br>15|26|25|28|29|29|29|29|
|45-49<br>11|20|26|28|29|29|29|29|
|50-54<br>9|15|26|28|29|28|28|28|
|55-59<br>7|13|28|28|28|27|27|28|
|60-64<br>6|9|25|26|26|26|26|26|
|C-5-69<br>4|7|19|19|23|24|24|24|
|70-74<br>3|4|12|17|19|20|20|20|
|75+<br>3|5|11|26|30|32|32|32|
|TOTAL<br>273|336|410|436|447|450|452|<br>453|
|FEMALES||||||||
|0-4<br>26|29|29|29|29|29|29|29|
|5-9<br>28|30|29|29|29|29|29|29|
|10-14<br>29|31|29|29|29|29|29|29|
|15-19<br>32|26|28|29|29|29|29|29|
|20-24<br>31|28|28|29|29|29||29|
|25-29<br>27|29|29|29|29|29|29|29|
|30-34<br>21|32|30|29|29|29|29|29|
|35-39<br>17|30|'t|<br>29|29|29|29|29|
|40-44<br>14|<br>26|<br>25|<br>28|<br>29|<br>29|<br>29|<br>29|
|45-49<br>12|20|77|28|29|29|29|29|
|50-54<br>10|17|28|29|29|29|29|29|
|55-59<br>8|14|30|<br>29|<br>29|28|28|28|
|60-64<br>_f,_|<br>11|28|29|28|28|28|28|
|65-69<br>5|9|23|23|26|27|27|27|
|70-74<br>3|6|16|23|24|25|25|25|
|75+<br>4|7|20|45|50|52|52|53|
|TOTAL<br>273|345|432|466|474|477|478|<br>479|
|BIRTH RATE|20.2|15.4|13.4|12.9|12.8|12.7|12.7|
|DEATH<br>RATE|5.5|7.0|10.7|12.1|12.5|12.6|12.6|
|NET MIGRATION<br>RATE||.0|.0|.0|.0|.0|.0|
|GROUTH<br>RATE|1.47|.85|.27|.08|.03|.01|.01,|
|TOTAL FERTILITY|2.210|2.053|2.045|2.040|2.039|2.038|2.038|
|e(O)- BOTH SEXES|71.81|74.49|76.67|78.25|78.67|78.95|79.02|
|IMR BOTHSEXES|12.3|9.2|8.3|7.5|6.9|6.5|6.4|
170 SOJTH AFRICA PoJectioln (000s) wIth NiRRl by 2020

|**...............**...............................<br>AGE**GRUP**<br>1985|1990|.............................................<br> <br>1995|...............................................<br>**2000**|......<br>2005|2010|<br>2015|<br>2020|<br>2025|<br>2030|
|---|---|---|---|---|---|---|---|---|---|
|TOTAL H.F<br>31593|35746|40097|44670|49373|<br>53953|<br>58224|<br>62039|<br>65703|<br>69341|
|HALES||||||||||
|0-4<br>2560|2680|2787|<br>2922|3021|3024|<br>2941|<br>2793|<br>2810|<br>2904|
|5-9<br>2095|2496|2628|2747|2891|<br>2991|<br>299?|2918|<br>2773|<br>2792|
|10-14<br>1859|2081|2479|2613|234|<br>2878|<br>2979|<br>2986|<br>2908|<br>2765|
|15-19<br>1656|1840|2063|<br>2461|2597|2718|<br>2863|<br>2965|<br>297|3<br>2896|
|20-24<br>1411|1631|1817|<br>2040|2437|2574|<br>2696|<br>2841|<br> <br>2944|<br><br> <br>2954|
|25-29<br>1196|1385|1606|1792|2016|<br>2411|<br> <br> <br>2548|<br> <br>2671|<br> <br> <br>2817|<br><br> <br>2922|
|30-34<br>1012|1172|1362|Is3|<br>1m|1993|<br>2385|<br>2522|<br> <br> <br>2647|<br><br> <br>2794|
|35-39<br>810|987|1148|1338|1559|1745|<br>1967|<br>2356|<br>2495|<br>2621|
|40-44<br>696|785|961|1122|<br>1311|<br>1530|<br>1715|<br>1936|<br>2322|<br>2462|
|45-49<br>594|_667_|757|930|l090|1276|<br>1491|<br>1675|<br>1893|<br>2275|
|50-54<br>499|559|632|721|<br>890|1046|<br>1227|<br>1437|<br>1618|<br>1833|
|55-59<br>410|<br>458|517|<br>588|674|<br>835|984|1158|<br>1360|<br>1536|
|60-64<br>327|<br>362|407|<br>463|531|611|760|<br>898|<br>1061|<br>1252|
|65-69<br>247|<br>271|<br>303|345|396|456|527|<br>659|<br>783|<br>930|
|70-74<br>170|18|208|236|271|<br>313|362|<br>422|<br> <br> <br>531|<br><br> <br>635|
|75.<br>164|180|201|228|262|3C4|356|418|<br>494|<br>611|
|TOTAL<br>15710|17740|19877|22130|24450|26705|28799|30656|<br>32430|<br>34184|
|FEMALES||||||||||
|0-4<br>2520|2643|2745|2874|2967|2970|2889|2743|<br>2759|<br>2852|
|5-9<br>2077|2464|2599|2712|2850|<br>2945|2950|2872|<br>2729|<br>2747|
|10-14<br>1828|2062|2450|2587|2703|2841|2937|2943|<br>2866|<br>2724|
|15-19<br>1625|1815|2050|2439|2578|2694|2833|2929|<br> <br>2937|<br><br> <br>2860|
|20-24<br>1399|1611|1802|2039|2427|2567|2684|<br>2824|<br> <br> <br>2921|<br><br> <br>2929|
|25-29<br>1201|1385|1598|1790|2027|2415|2555|2673|<br>2813|<br>2911|
|30-34<br>1025|1186|1371|1585|1778|2014|2401|2542|2661|<br>2802|
|35-39<br>834|1010|1172|1357|1571|1763|1999|<br>2385|2527|<br>2647|
|40-44<br>719|818|994|1156|1341|1553|1745|1981|<br>2365|<br>2509|
|45-49<br>621|701|800|<br>974|<br>1136|1320|1530|1722|<br>1956|<br>2339|
|50-54<br>530|599|679|m|949|1108|1290|1499|<br>1689|<br>1922|
|55-59<br>446|503|572|650|**747**|<br>915|1071|1249|<br>1454|<br>1643|
|60-64<br>363|413|468|535|612|705|866|1017|<br>1191|<br>1391|
|65-69<br>281|322|368|420|484|556|644|795|939|<br>1104|
|70-74<br>201|230|266|308|355|411|476|556|691|<br>821|
|75+<br>212<br> <br>|245<br>|286<br>|337<br>|398|469|554|654|775|<br>954|
|TOTAL<br>15883|18006|20220|22540|24923|27248|29425|31383|33273|<br>35157|
|BIRTH RATE|34.5|31.4|29.0|26.7|24.2|21.6|19.1|18.0|17.5|
|DEAI'H RATE|9.9|8.5|7.4|6.7|6.5|6.4|<br>6.4|<br>6.5|6.8|
|RATE OF NAT. INC.|2.46|2.29|2.16|2.00|1.77|1.52|1.27|1.15|1.08|
|**NET**MIGRATION<br>RATE|**.1**|.1|.0|.0|.0|.0|.0|||
|GROWTH<br>RATE|2.47|230|216|200|177|152|127|115|108|
|TOTAL FERTILITY|<br>4.477|.<br>4.075|.<br>3.672|.<br>3.270|.<br>2.878|.<br>2.534|.<br>2.231|.<br>2.120|.<br>2107|
|NRR|1.915|1.792|1.656|1.505|1.333|1.181|1.046|<br>1.000|.<br>1.000|
|**e(O)**0<br>BOTHSEXES|60.46|63.01|65.32|67.38|68.22|69.08|69.96|70.85|71.77|
|e(10)**BOTH**SEXES|57.67|59.06|60.23|61.32|61.88|62.45|63.04|63.64|64.26|
|**IHR**- **BOTH**SEXES<br>|72.0<br>|60.6|50.1|40.9|37.8|34.7|31.6|28.4|25.3|
|q(5)- BOTH SEXES|.0996|.0818|.0654|.0516|.0475|.0435|.0394|.0353|.0313|
|DEP. RATIO<br>81.8|79.8|76.1|69.6|64.3|59.7|54.8|50.3|<br>47.2|<br>46.0|
171

# SOUTH AFRICA Projection (000s) with NRR-1 by 2020

# Sumury for 25 Year Periods

|AGE GROUP<br>1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|..........................................<br>....<br>.|.....<br>..........................|.................................................|..|||||
|TOTAL M6F<br>31593|<br>44670|<br>65703|<br>81167|<br>88062|<br>89597|<br>90334|<br>90637|
|MALES||||||||
|0-4<br>2560|<br>2922|<br>2810|<br>2848|<br>2877|<br>2888|<br>2889|<br>28S8|
|5-9<br>2098|<br>2747|<br>27m|2864|<br>2884|<br>2886|<br>2885|<br>2884|
|10-14<br>1859|<br>2613|<br>2908|<br>2904|<br>2887|<br>2879|<br>2880|<br>2882|
|15-19<br>1656|<br>2461|2973|<br>2915|<br>2869|<br>2867|<br>2875|<br>2878|
|20-24<br>1411|<br>2040|<br>2944|<br>2864|<br>2835|<br>2855|<br>2869|<br>2873|
|25-29<br>1196|<br>1792|<br>2817|<br>2752|<br>2817|<br>2851|<br>2865|<br>2867|
|30-34<br>1012|<br>1583|<br>2647|<br>2715|<br>2829|<br>2855|<br>2860|<br>2860|
|35-39<br>810|1338|<br>2495|2831|2859|<br>2851|<br>2848|<br>2850|
|40-44<br>696|1122|<br>2322|<br>2873|<br>2858|<br>2822|2826|<br>2835|
|45-49<br>594|930|1893|<br>2813|<br>2785|2769|<br>2795|<br>2812|
|50-54<br>499|721|1618|<br>2637|<br>2632|2711|<br>2753|<br>2769|
|55-59<br>410|588|1360|<br>2384|<br>2514|<br>2643|<br>2680|<br>2688|
|60-64<br>327|463|1061|<br>2103|<br>2476|<br>2532|<br>2542|<br>2545|
|65-69<br>247|345|783|1755|<br>2280|<br>2310|<br>2305|<br>2315|
|70-74<br>170|236|531|1199|<br>1900|<br>1930|<br>1947|<br>1974|
|75+<br>164|228|494|1314|<br>2544|<br>2879|<br>3065|<br>3133|
|TOTAL<br>15710|<br>22130|<br>32430|<br>39770|<br>42847|<br>43527|<br>43883|<br>44052|
|FEMALES||||||||
|0-4<br>2520|<br>2874|<br>2759|<br>2795|<br>2819|<br>2824|<br>2823|<br>2822|
|5-9<br>2077|<br>2712|<br>2729|<br>2816|<br>2832|<br>2826|<br>2822|<br>2821|
|10-14<br>1828|<br>2587|<br>2866|<br>2859|<br>2838|<br>2824|<br>2820|<br>2821|
|15-19<br>1625|<br>2439|<br>2937|<br>2876|<br>2826|<br>2817|<br>2818|<br>2820|
|20-24<br>1399|<br>2039|<br>2921|<br>2833|<br>2800|<br>2812|<br>2819|<br>2821|
|25-29<br>1201|<br>1790|<br>2813|<br>2733|<br>2790|<br>2816|<br>2822|<br>2821|
|30-34<br>1025|<br>1585|<br>2661|<br>2706|<br>2810|<br>2828|<br>2824|<br>2820|
|35-39<br>834|1357|<br>2527|<br>2835|<br>2849|<br>2832|<br>2820|<br>2817|
|40-44<br>719|1156|2365|<br>2895|<br>2861|<br>2816|<br>2809|<br>2812|
|45-49<br>621|974|1956|<br>2860|<br>2808|<br>2782|<br>2797|<br>2806|
|50-54<br>530|_m_|1689|<br>2725|<br>2688|<br>2756|<br>2788|<br>2795|
|55-59<br>446|650|1454|<br>2529|<br>2626|<br>2745|<br>27m|<br>2771|
|60-64<br>363|535|1191|<br>2326|<br>2687|<br>2729|<br>2728|<br>2721|
|65-69<br>281|420|939|2056|<br>2622|<br>2636|<br>2618|<br>2619|
|70-74<br>201|308|691|1527|<br>2370|<br>2391|<br>2403|<br>2427|
|75+<br>212|337|_ns_|2026|<br>3988|<br>4635|<br>4966|<br>5070|
|TOTAL<br>15883|<br>22540|<br>33273|<br>41397|<br>45215|<br>46070|<br>46451|<br>46585|
|BIRTH RATE|31.4|21.6|15.8|13.5|12.9|12.8|12.7|
|DEATH<br>RATE|8.5|6.5|7.5|10.3|12.2|12.4|12.6|
|NET NIGRATION<br>RATE|.1|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|2.31|1.54|.85|.33|.07|.03|.01|
|TOTAL FERTILITY|4.038|2.554|2.082|2.043|2.041|2.039|2.039|
|e(O)<br>- BOTH SEXES|63.12|69.23|73.77|77.08|78.06|78.73|78.90|
|INR-BOTH SEXES|60.7|34.9|19.1|9.1|7.7|6.7|6.5|
172

|OTHERWESTAFRICA<br>..............................................................|Projection<br>(00.) withNRR=s by2000<br>.....................................................................................................||||
|---|---|---|---|---|
|**AGE**GROUP<br>1985<br>1990|<br>1995<br>2000<br>2005<br>2010<br>2015|<br>2020|<br>2025|<br>2030|
|TOTAL<br>MF<br>7<br>8|8<br>9<br>9<br>10<br>10|<br>11|<br>11|<br>11|
|MALES|||||
|0-4<br>0<br>0|<br>0<br>0<br>0<br>0<br>0|<br>0|<br>0|<br>0|
|5.9<br>0<br>0|0<br>0<br>0<br>0<br>0|0|0|<br>0|
|10-14<br>0<br>0|0<br>0<br>0<br>0<br>0|0|<br>0|<br>0|
|15-19<br>0<br>0|0<br>0<br>0<br>0<br>0|<br>0|0|<br>0|
|20-24<br>0<br>0|<br>0<br>0<br>0<br>0<br>0|<br>0|<br>0|<br>0|
|25-29<br>0<br>0|0<br>0<br>0<br>0<br>0|0|0|<br>0|
|30-34<br>0<br>0|0<br>0<br>0<br>0<br>0|0|0|<br>0|
|35-39<br>0<br>0|0<br>0<br>0<br>0<br>0|<br>0|0|<br>0|
|40-44<br>0<br>0|0<br>0<br>0<br>0<br>0|<br>0|0|<br>0|
|45-49<br>0<br>0|0<br>0<br>0<br>0<br>0|0|0|<br>0|
|50-54<br>0<br>0|0<br>0<br>0<br>0<br>0|0|0|<br>0|
|55-59<br>0<br>0|<br>0<br>0<br>0<br>0<br>0|0|0|<br>0|
|60-64<br>0<br>0|0<br>0<br>0<br>0<br>0|0|0|<br>0|
|65-69<br>0<br>0|0<br>0<br>0<br>0<br>0|0|0|0|
|70-74<br>0<br>0|0<br>0<br>0<br>0<br>0|0|0|<br>0|
|75+<br>0<br>0|<br>0<br>0<br>0<br>0<br>0|<br>0|<br>0|<br>0|
|TOTAL<br>3<br>4|<br>4<br>4<br>4<br>5<br>5|5|5|<br>6|
|FEMALES|||||
|0-4<br>0<br>0|<br>0<br>0<br>0<br>0<br>0|<br>0|<br>0|<br>0|
|5-9<br>0<br>0|<br>0<br>0<br>0<br>0<br>0|0|0|<br>0|
|10-14<br>0<br>0|0<br>0<br>0<br>0<br>0|<br>0|0|<br>0|
|15-19<br>0<br>0|<br>0<br>0<br>0<br>0<br>0|<br>0|<br>0|<br>0|
|20-24<br>0<br>0|0<br>0<br>0<br>0<br>0|0|0|<br>0|
|25-29<br>0<br>0|<br>0<br>0<br>0<br>0<br>0|<br>0|<br>0|<br>0|
|30-34<br>0<br>0|0<br>0<br>0<br>0<br>0|<br>0|<br> <br>0|<br><br> <br>0|
|35-39<br>0<br>0|0<br>0<br>0<br>0<br>0|0|0|<br>0|
|40-44<br>0<br>0|0<br>0<br>0<br>0<br>0|0|0|<br>0|
|45-49<br>0<br>0|0<br>0<br>0<br>0<br>0|0|0|0|
|50-54<br>0<br>0|0<br>0<br>0<br>0<br>0|<br>0|<br>0|<br>O|
|55-59<br>0<br>0|0<br>0<br>0<br>0<br>0|<br>0|<br>0|<br>0|
|60-64<br>0<br>0|0<br>0<br>0<br>0<br>0|0|0|0|
|65-69<br>0<br>0|<br>0<br>0<br>0<br>0<br>0|0|0|0|
|70-74<br>0<br>0|<br>0<br>0<br>0<br>0<br>0|0|0|0|
|75+<br>0<br>0|<br>0<br>0<br>0<br>0<br>0|0|0|0|
|TOTAL<br>4<br>4|4<br>4<br>5<br>5<br>5|5|6|6|
|BIRTH RATE<br>23.3|21.9<br>20.0<br>18.8<br>17.9<br>16.9|16.1|15.3|14.7|
|DEATH RATE<br>9.0|8.4<br>7.7<br>7.1<br>6.9<br>6.8|6.9|7.1|7.4|
|RATE OF NAT. INC.<br>1.43|1.35<br>1.23<br>1.17<br>1.10<br>1.01|.92|.82|.74|
|NET MIGRATION<br>RATE<br>.0|.0<br>.0<br>.0<br>.0<br>.0|.0|0|0|
|GROUTH<br>RATE<br>1.43|<br> <br> <br> <br>1.35<br>1.23<br>1.17<br>1.10<br>1.01|<br>.92|.<br>.82|.<br>.74|
|TOTAL FERTILITY<br>2.990|2.567<br>2.203<br>2.073<br>2.070<br>2.066|2.063|2.060|2.057|
|NRR<br>1.412|1.223<br>1.057<br>1.000<br>1.000<br>1.000|1.000|1.000|1.000|
|**e(O)* **BOTH SEXES<br>70.21|71.44<br>72.55<br>73.50<br>73.92<br>74.35|74.79|75.23|75.68|
|e(O)<br>- BOTH SEXES<br>62.94|63.65<br>64.34<br>64.97<br>65.32<br>65.68|66.04|66.41|66.78|
|**IMR**BOTH SEXES<br>29.0|23.7<br>19.4<br>16.1<br>15.2<br>14.4|13.6|12.7|11.9|
|q(5)B<br>8OTHSEXES<br>0350|0280<br>0225<br>0184<br>0174<br>0164|0154|0145|0135|
|<br> <br>.<br>DEP. RATIO<br>79.9<br>72.1|.<br>.<br>.<br>.<br>.<br> <br>61.3<br>57.8<br>53.0<br>49.8<br>47.1|.<br>46.5|.<br> <br>46.1|.<br> <br>46.0|
173 Projection (OOb) with **NRURi** by 2000

# OTHER WEST AFRICA

# Sumery for 25 Year Periodc

|.....<br>.......<br>____.......................<br>AGE GR0JP<br>1965|............................................<br>2000<br>202S|2050|2075<br>2100|2125|2150|
|---|---|---|---|---|---|
|;OTAL'"'............------9.............<br>TOTALN"F<br>7|..........<br> <br>9<br>11|........................ _2 ---<br> <br>12|----<br>...<br>..........<br>1,........<br>13<br>13|........<br>....<br>13|................................ _.<br>....<br>13|
|MALES||||||
|0-4<br>0|0<br>0|<br>0|<br>0<br>0|0|<br>0|
|5-9<br>0|0<br>0|0|0<br>0|0|0|
|10-14<br>0|0<br>0|<br>0|<br>0<br>0|0|<br>0|
|15-19<br>0|0<br>0|<br>0|<br>0<br>0|0|<br>0|
|20-24<br>0|0<br>0|<br>0|<br>0<br>0|0|<br>0|
|25-29<br>0|0<br>0|<br>0|<br>0<br>0|0|<br>0|
|30-34<br>0|0<br>0|<br>0|<br>0<br>0|<br>0|<br>0|
|35-39<br>0|0<br>0|0|0<br>0|0|0|
|<br> <br>40-44<br>0|<br> <br>0<br>0|<br> <br>0|<br> <br> <br>0<br>0|<br> <br>0|<br>0|
|45-49<br>0|0<br>0|0|0<br>0|0|0|
|50-54<br>0|0<br>0|0|0<br>0|0|0|
|<br> <br>55-59<br>0|<br> <br>0<br>0|<br>0|<br> <br>0<br>0|<br>0|0|
|60-64<br>0|0<br>0|0|0<br>0|0|0|
|65-69<br>0|0<br>0|0|0<br>0|0|0|
|70-74<br>0|0<br>0|0|0<br>0|0|0|
|75+<br>0|0<br>0|0|0<br>0|0|0|
|TOTAL<br>3|4<br>5|6|6<br>6|6|6|
|FEMALES||||||
|0-4<br>0|0<br>0|0|0<br>0|0|0|
|5-9<br>0|0<br>0|0|0<br>0|0|0|
|<br> <br>10-14<br>0|<br> <br> <br>0<br>0|<br> <br>0|<br> <br> <br>0<br>0|<br>0|<br>0|
|15-19<br>0|0<br>0|0|0<br>0|0|0|
|20-24<br>0|0<br>0|0|0<br>0|0|0|
|25-29<br>0|0<br>0|0|0<br>0|0|0|
|30-34<br>0|0<br>0|0|0<br>0|0|0|
|35-39<br>0|0<br>0|0|0<br>0|0|0|
|40-44<br>0|-<br>0<br>0|<br>0|<br>0<br>0|<br>0|<br>0|
|45-49<br>0|0<br>0|0|0<br>0|0|0|
|50-54<br>0|0<br>0|<br>0|<br>0<br>0|<br>0|<br>0|
|55-59<br>0|0<br>0|0|0<br>0|0|0|
|60-64<br>0|<br>0<br>0|<br>0|<br>0<br>0|<br>0|<br>0|
|65-69<br>0|0<br>0|0|0<br>0|0|0|
|70-74<br>0|0<br>0|<br>0|<br>0<br>0|0|5|
|75+<br>'0|<br>0<br>0|1|1<br>1|1|1|
|TOTAL<br>4|4<br>6|<br>6|<br>7<br>7|<br>7|<br>7|
|BIRTH RATE|21.6<br>16.9|13.9|12.9<br>12.8|12.7|12.7|
|DEATH RATE|8.3<br>7.0|8.8|11.9.<br>12.5|12.6|12.6|
|NET MIGRATION RATE|.0<br>.0|.0|.0<br>.0|.0|.0|
|GROUTH<br>RATE|1.34<br>1.00|.51|.10<br>.03|.01|.01|
|TOTAL FERTILITY|2.561<br>2.066|2.050|2.040<br>2.039|2.038|2.038|
|e(O) BOTH SEXES|7145<br>7440|7664|7822<br>7865|7894|7901|
|<br>IHR- BOTH SEXES|.<br>.<br>24.0<br>14.4|.<br>10.2|.<br>.<br>7.5<br>6.9|.<br>6.5|.<br>6.4|
# PPR Working Paper Series

||i:C|Author|Dat|Contact<br>paper|
|---|---|---|---|---|
|WPS307|On the Accuracy of Economic<br>Observations: Do Sub-Saharan<br>Trade Statistics Mean Anything|Alexander J. Yeats|November 1989|J. Epps<br>33710|
|WPS308|Harmonizing Tax Policies in Central<br>America|Yalcin M. B'ran|November 1989|T. Watana<br>31882|
|WPS309|Honduras-Public Sector Finances,<br>Issues, and Policy Suggestions<br>to Resolve Them|Yalcin M. Baran|November 1989|T. Watana<br>31882|
|WPS310|A Macroeconomic Consistency<br>Framework for Zimbabwe|Ali Khadr<br>Klaus Schmidt-Hebbel|||
|WPS311|Macroeconomic Performance<br>Before and After Disinflation in<br>Israel|Leonardo Leiderman<br>Nissan Liviatan|November 1989||
|WPS312|Improving Public Enterprise<br>Perrormance: Lessons from<br>South Korea|Mary M. Shirley|October 1989|R. Malcolm<br>61708|
|WPS313|The Evolution of Paradigms of<br>Environmental Management in<br>Development|Michael E. Colby|||
|WPS314|Primary Commodity Prices and<br>Macroeconomic Variables: A Long-<br>run Relationship|Theodosios Palaskas<br>Panos Varangis|November 1989|D. Gustafson<br>33714|
|WPS315|Notes on Patents, Distortions,<br>and Development|Julio Nogu6s|||
|WPS316|The Macroeconomics<br>of Populism<br>in Latin America|Rudiger Dornbusch<br>Sebastian Edwards|||
|WPS317|Price and Quality Competitiveness<br>of Socialist Countries' Exports|Zdenek Drabek<br>Andrzej Olechowski|||
|WPS318|Debt Buybacks Can Indicate<br>Sovereign Countries' Willingness<br>to Raise Investment and Repay<br>Debt When Partial Debt Relief is<br>Offered: Theory and Tests|Sankarshan<br>Acharya<br>Ishac Diwan|||
|WPS319|Trends in South-South Trade and<br>the Potential in Non-Discriminatory<br>Liberalization of Barriers|Refik Erzan|||
|UIw|PPR Working Paper Series<br>Auda|<br>_DAh_<br>t<br>or|Contact<br>for<br>pr|
|---|---|---|---|
|WPS320 Protection Facing Exports from<br>Sub-Saharan Africa in the EEC,<br>Japan, and the U.S.|Refik Erzan<br>Peter Svedberg|||
|WPS321 Economic and Policy Determinants<br>of Public Sector Deficits|Jorge Marshall<br>Klaus Schmidt-Hebbel|||
|WPS322 The Earmarking of Government<br>Revenues: A Review of Some<br>World Bank Experience|William McCleary|||
|WPS323 The Old and the New is Heterodox<br>Stabilization Programs: Lessons<br>from the Sixties and the Eighties|Miguel A. Kiguel<br>Nissan Liviatan|||
|WPS 324 Ethics and Human Values in Family<br>Planning: The African Perspective|F. Sai<br>K. Newman|||
|WPS325 Manufacturers' Responses to Infra-<br>structure Deficiencies in Nigeria|Kyu Sik Lee<br>Alex Anas|||
|WPS326 Do Exporters Gain from VERs?|Jaime de Melo<br>L Alan Winters|||
|WPS327 Making Noisy Data Sing: Estimating<br>Production Technologies in<br>Developing Countries|James R. Tybout|||
|WPS328 Europe, Middle East, and North<br>Africa (EMN) Region Population<br>Projections, 1989-90 Edition|Rodolfo A. Bulatao<br>Eduard Bos<br>Patience W. Stephens<br>My T. Vu|November 1989|S. Ainsworth<br>31091|
|WPS329 Latin America and the Caribbean<br>(LAC) Region Population<br>Projections, 1989-90 Edition|Rodolfo A. 6ulatao<br>Eduard Bos<br>Patience W. Stephens<br>My T. Vu|November 1989|S. Ainsworth<br>31091|
|WPS330 Africa Region Population<br>Projections, 1989-90 Edition|Rodolfo A. Bulatao<br>Eduard Bos<br>Patience W. Stephens<br>My T. Vu|November 1989|S. Ainsworth<br>31091|
|WPS331 Asia Region Population Projections,<br>1989-90 Edition|Rodolfo A. Bulatao<br>Eduard Bos<br>Patience W. Stephens<br>My T. Vu|November 1989|S. Ainsworth<br>31091|