metadata: authors: 0: author: My T. Vu
1: author: Bos, Eduard
2: author: Levin, Ann
count: Latin America,Caribbean
docna: 0: docna: Latin America and the Caribbean region (and
            Northern America) population projections : 1992-93 edition
docty: Policy Research Working Paper
subtopic: Public Sector Management and Reform,Population & Development,Demographics,Law and Justice Institutions
teratopic: Health, Nutrition and Population
abstracts: cdata!: Population projections for all countries
            are prepared annually by the World Bank's Population
            and Human Resources Department. They are published first in
            summary form in the Bank's World Development Report and
            later in greater detail as technical notes or working
            papers, and in alternate years, as a book. Separate papers
            cover the six Bank regions: (1) Africa (sub-Saharan); (2)
            Latin America and the Caribbean (and Northern America); (3)
            East Asia and Pacific region and South Asia region combined;
            and (4) Europe and Central Asia region and Middle East and
            North Africa region combined. Among trends observed: all of
            the Bank's regions have positive population growth
            rates, but a few countries are losing people. These
            countries are in one of two regions: in Latin America and
            the Caribbean, where several small island countries
            (Dominica, Grenada, and St. Kitts and Nevis) have recently
            had negative growth rates, and in Europe (Bulgaria, Hungary,
            and Ireland). In the case of the Caribbean islands, the
            cause of population decline is outmigration, whereas in
            Eastern Europe it results from a combination of
            below-replacement fertility and outmigration. On the
            American continent, fertility in all countries has dropped
            to below 6 children per woman, but some countries have gone
            much further than others. The total fertility rate for Latin
            America is intermediate at 3.1, and replacement fertility is
            projected to be reached in every country no later than 2035.
            In Northern America, fertility is at 2 children per woman -
            that is, just below replacement level. At the regional
            level, international net migration has a trivial effect on
            population growth. The most significant flow in the world
            occurs between Latin America and the Caribbean and Northern
            America, which amounts to just over one-half million persons
            per year. Migration often occurs for unpredictable reasons,
            and is often reversed in a short time. The projections of
            future net migration assume a gradual decline to zero from
            current levels.
repnme: repnme: Latin America and the Caribbean region (and
            Northern America) population projections : 1992-93 edition
display_title: Latin America and the Caribbean
            region (and Northern America) population projections :
            1992-93 edition
listing_relative_url: /research/1992/11/699522/latin-america-caribbean-region-northern-america-population-projections-1992-93-edition
topicv3: Human Resources m1326304 1211,Population, Aging and Health m1327736 640,Fertility Rate m1504357 2662,Life Expectancy m1504363 2666,Mortality m1504365 3661
publishtoextweb_dt: 2010-07-01T00:00:00Z
historic_topic: Health, Nutrition and Population
origu: Pop & Human Resources Department
no_of_pages: 241
model_extractions: <!-- Start of picture text --> Policy Reserchl<br>Population, Health, and Nutirtion<br>WPS 1033<br><!-- End of picture text --> This paper is a product of the Population, Health, and Nutrition Division and the Population Policy and Advisory Service of the Population and Human Resources Department. Copies of the paper are available free from the World Bank, 1818 H Street NW, Washington, DC 20433. Please contact Otilia Nadora, room S6-065, extension 31091 (November 1992).

Population projections for all countries are prepared annually by the World Bank's Population and Human Resources Department. They are published first in summary forn in the Bank's _World Development Report_ and later in greater detail as technical notes or working papers and, in alternate years, as a book.

Separate papers cover the six Bank regions: (I) Africa (Sub-Saharan), (2) Latin America and the Caribbean (and Northern America), (3) East Asia and Pacific region and South Asia region combined, and (4) Europe and Central Asia region and Middle East and North Africa region combined.

# Among trends observed:

All of the Bank's regions have positive population growth rates, but a few countries are losing people. These countries are in one of two regions: in Latin America and the Caribbean, where several small island countries (Dominica, Grenada, and St. Kitts and Nevis) have recently had negative growth rates, and in Europe (Bulgaria, Hungary, and Ireland). In the case of the Caribbean islands, the cause of population decline is outmigration, whereas in Eastem Europe it results from a combination of belowreplacement fertility and outmigration.

> * On the American continent, fertility in all countries has dropped to below 6 children per woman, but some countries have gone much further than others. The total fertility rate for Latin America is intermediate at 3.1, and replacement fertility is projected to be reached in every country no later than 2035. In Northern America, fertility is at 2 children per womanthat is, just below replacement level.

- At the regional level, international net migration has a trivial effect on population growth. The most significant flow in the world occurs between Latin America and the Caribbean and Northern America, which amounts to just over one-half million persons per year. Migration often occurs for unpredictable reasons, and is often reversed in a short time. The projections of future net migration assume a gradual decline to zero from current levels.

The Policy Research Working PaperSeries disseninates the flndings of work under way in the Bank. Anobjective of the series is to get these findings out quickly, even if presentations are less than fully polished. The fndings, interpretations, and conclusions in these papers do not necessarily represent official Bank policy.

Produced by the Policy Research Dissemination Center
# Latin America and the Caribbean Region Population Projections

1992-93 Edtilon My T. Vu Eduard Bos Ann Levin
# CONTENTS

|Detaid Popultion Projwons<br>............<br>e.<br>1|
|---|
|World Regions,ndIncome Groups.........<br>1|
|World ..........................<br>2|
|LDC<br>..........................<br>4|
|MDC<br>.<br>..<br>6|

|Foreword..........................iii|
|---|
|Acknowledgements .......................<br>v|
|Introduction .........................<br>vi|
|Overview of Trends and Projections .......<br>viii|
|World and Regions ..................<br>viii|
|Population Growth .......<br>....<br>viii|
|Fertility ............<br>xii|
|Mortality .........<br>ii<br>|
|Migration ........<br>xiv|
|Age Structure ........<br>xv|
|World Bank Regions and Income Groups..xv|
|Some Country Results .......<br>x........<br>xiii|

## Geographic Regions

|i<br>Africa .........................<br>8|
|---|
|East Africa ........................<br>10|
|WestAfrica .......................<br>12|
|North Africa .14<br>|
|<br>America ........................<br>16|
|Latin America and the Caribbean .......<br>18|
|Northern America ...................<br>20|
|Asia........................<br>22|
|East and Southeast Asia ..............<br>24|
|South Asi ......<br>South.As<br>i<br>a.26|
|...<br>Southwest Asia .....................<br>28|
|Europe and Former Soviet Republics .....<br>30|
|Oceania..............bn..<br>32|

Summary Tables ..................... xxv

|Special Topic I: Projecting AIDS Mortality.v.v|
|---|
|Epidemiological Model ................<br>Iv|
|Simulations ........<br>iii|
|Application to Sub-Saharan Countries ..... .|
|Conclusions ...............<br>x.........<br>k|
|References ........................<br>bx|

|Special Topic II: Demographic Trends in the|
|---|
|Republics of the Former U.S.S.R....b|
|References ..........<br>_bmv_|

## Income Groups

Data and Methods ...... ...... _bvi_ Sources of Population Data .......... .xxiv References ...... dv Addendum ..... _cv_

|Low-income Economies ......<br>.<br>34|
|---|
|Loer-middle-income Economies .36|
|Upper-middle-income Economies ........<br>38|
|High-income economies .40|
|Nonreporting Nonmember Economies .....<br>42|

i
|Latn Amerlea and the Carbban<br> <br>|
|---|
|Reglon (and NorthernAmerica) .....<br>45|
|LatinAmericaand the Caribbean ....<br>46|
|Country Departnment I .......<br>.....<br>48|
|CountryDepartment II ......<br>.....<br>50|
|CountzyDepartment II<br>......<br>.... 52|
|Nonborrowers ..................<br>54|

|Reglon (and NorthernAmerica) .....<br>45|Grenada .....................<br>92|
|---|---|
||Guadeloupe .....................<br>94|
|LatinAmericaand the Caribbean ....<br>46|Guatemala .....................<br>96|
|Country Departnment I .......<br>.....<br>48|Guyana .....................<br>98|
|CountryDepartment II ......<br>.....<br>50|Haiti .....................<br>100|
|CountzyDepartment II<br>......<br>.... 52|Honduras .....................<br>102|
|Nonborrowers ..................<br>54|Jamaica .....................<br>104|
||Martinique ....................<br>106|
|Countries, Economies,|<br>Mdex .<br>M<br>eo108|
|and Terrltorles ...........<br>..<br>59|Montserrat ....................<br>110|
||Netherlands Antilles ........<br>.....<br>112|
|Antigua and Barbuda .............<br>60|Nicaragua .....................<br>114|
|Argentina ......<br>.......<br>62|Other Latin America ........<br>....<br>116|
|Bahamas, The .........<br>....<br>64|Other Norther America ......<br>....<br>118|
|Barbados ......<br>.......<br>66|Panama .....................<br>120|
|BeUze .............<br>68|Paraguay .....................<br>122|
|Bolivia .............<br>70|Peru .....................<br>124|
|Brazil.............<br>72|PuertoRico ...................<br>126|
|Canada .....<br>........<br>74|St. Kittsand Nevis .........<br>.....<br>128|
|Chile .............<br>76|St. Lucia .....................<br>130|
|Colombia......<br>.......<br>78|St. Vincent and the Grenadines ....<br>132|
|Costa Rica ......<br>.......<br>80|Suriname .....................<br>134|
|Cuba .............<br>82|Trinidadand Tobago .......<br>.....<br>136|
|Dominica ......<br>.......<br>84|United States of America ......<br>... 138|
|Dominican Rep .............<br>86|Uruguay .....................<br>140|
|Ecuador .............<br>88<br>|Venezuela ....................<br>142|
|El Salvador....................<br>90|Virgin Islands (U.S.) .144|

ii
# FOREWORD

Populatlon projections for all countries are prepared annually by the Population and Human Resources Department of the World Bank. They are published first in summary form in the Bankes _World Development Report_ and later in greater detail as technical notes or working papers and, in alternate years, as a bookl Four separate working papers cover the six Bank regions: Africa (Sub-Saharan), Latin America and the Caribbean (and Northern America), East Asia and Pacific region and South Asia region combined, and Europe and Central Asia region and Middle East and North Africa region combined.

This year's projections contain two major changes from the previous edition. First, projected mortality from AIDS has been incorporated in the tables for Sub-Saharan African countries. Second, demographic estimates and projections are provided separately for each of the fifteen countries that constituted the Soviet Union.

We Intend these papers to provide convenient and up-to-date references on the likely demographic future of each country. We hope it will facilitate the process of taking population into account in development work.

Thomas W. Merrick Senior Population Adviser Population and Human Resources Department Iii
# ACKNOWLDGEMENTS

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. Populadon Division has been continually supportive in providing us with data, even before their publication as U.N. assessments. Partly as a result, nonessential differences between these projections and the biennial U.N. assessments have been minimized. We are grateful to the section chief, Larry Helichman, and to his continually accommodating staff, as well as to the head of the division, Shunichi Inoue, and hope that the collaboration will continue.

'orld Bank country economists, population specialists, and the few demographers in the operating divisions have also provided us with recent population estimates, bri-aging 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 Hill of Johns Hopkins University.

This work for this paper was started as part of the Population, Health, and Nutrition Division's work program. The paper was completed as a product of the Papulation Policy and Advisory Service of the Population and Human Resources Department. We are grateful to the division chief, Dr. Anthony R. Measham, and the department director, Ann 0. Hamilton, for their support of this work 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 eonomists. Sulekha Patel and Taranjit Kaur of that division have been particularly helpful in the past year.

v
# INTRODUCMION

This paper provides population projections for each country, economy, or territory in the World Bank Latin America and the Caribbean Region, as well as for nonborrower countries in the same geographic area. Three companion papers provide similar projections for the other Bank regions. Each paper also contains projections for the world and for groups of countries for all regions an1 income groups. The introduction section (similar across the four regional papers) summarizes the main demographic trends and the projection results, discusses the projection methodology, and lists the sources of current population estimates and vital rates.

These projections update those issued in 1991 as the _1990-91 Edition._ This edition returns to the format of earlier editions, showing detailed age-sex distributions from 1985 onwards. This year's projections differ In two important ways from those issued previously. First, mortality from AIDS has been incorporated in countries in Sub-Saharan Africa where there is a measurable level of HIV infection, and has affected the projected population growth in these countries and for Africa as a whole. The procedures for projecting HIV and AIDS and a discussion of the impact of AIDS mortality on demographic indicators are presented as _Special Topic I_ following the introduction. Second, as a result of recent political changes in some parts of the world, estimates and projections for several new countries have been added. These new projections cover the fifteen countries that constituted the Soviet Union (see _Special Topic /7_ below), the combined Germanies and Yemens, and the former Yugoslavian republics of Slovenia and Croatia. The cut-off date for revisions for this edition was April 15, 1992, so that political developments that occurred after that date could not be incorporated. TheAddendum section following the _Sources_ discusse **s** ome of these late developments.

Because of changes within the World Bank organizational structure, population projections of regional and country department aggregates are not comparable to those of previous years . New geographical regions have been formed and many of the country departments have changed their composition, partly as a result of the addition of many new borrower countries. For example, Asia has now been split into two separate regions, East Asia and the Paciflc and South Asia, each of which has three country departments, rather than the five previous departments under one region. Country departments in the Africa and Latin America regions, while keeping the same name, have also been restructured.

Projection methods have changed only marginally since the previous edition. Essentially, recent country-specific data about levels and trends in fertility, mortality, and international migration are applied to available sex-age distnbutions in order to obtain short-run projections. Long-run projections, up to 2150, are made under the assumptions that fertility and mortality eventually become stable and net international migration declines to zero. One change in procedures from the previous edition involves a more gradual decline in the total fertility rate during the first period that fertility is projected to decline, followed by a more rapid decline than was previously assumed. This and other details of the methodology are described in the _Data and Methods_ section.

Caution is appropriate with all projections like these. They essentially involve working out the implications of assumptions about demographic trends. None of the results should be interpreted 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.
Vili INTRODUCTION

# **OVERVIEW** OF **TRENDS** AND PROJECIIONS

In the following sections, recent demographic trends and projections for the future will be discussed. OveraU trends for the world, geographical regions and countries grouped by income level wiU be reviewed first, foM!owed by a presentation of some notable country results.

Rapid demographic changes are taking place in some parts of the world, while in other parts demographic change is more gradual. Over the past few decades, Southeast Asian and Latin American countries have experienced rapid declines in mortality and fertility, while most Sub-Saharan African and Middle Eastern countries have seen only minor changes, with both mortality and fertility remaining at high levels. The more developed countries of Europe, North America, and Asia are currently also among the gradual changers, having lowered their mortality and fertility earlier. In many of these countries, fertility fluctuates in a narrow range below replacement -- below the level required for each generation to replace itself in the succeeding generation -- and mortality at most ages has reached levels so low that further declines can only be small. The different regional trends, and their implcations for future demographic indicators, wiDl now be discussed in greater detail.

# World and Regions

# _Populaton Gh_

The world population for mid-1992 is estimated to be 5.44 billion, an increase of 180 millon over the population in mid-1990. By 2000, it is projected to increase to 6.17 billion, an increase of 12 percent over the 1992 estimate, and by 2025 world population is projected to reach 8.34 billon, an increase of 52 percent over this year's population. During 1990 to 1995, population growth rates average 1.7 percent per year, and are projected to decline to 1.2 percent around 2010 and 1.0 percent by 2025. However, the number of persons added each year will still be growing between 1990 and 1995 and is projected to stabiize at juist below 90 miflion. Only after 2025 is the annual increase in population projected to start declining substantially (Figure 1). This combination of decining growth rates with steady increases in population is the result of past high fertility rates, which produced everlarger cohorts that are now moving through the age-structure, replacing smaller cohorts born earlier. Even though the number of births worldwide is increasing well below overall growth rates, the _population momentum_ built into the age structure will ensure high population growth for decades to come.

In 1992, less developed countries (LDCs) comprise 77 percent of the population, while more developed countries (MDQ) cover the other 23 percent. Since annual growth rates are significantly higher in LDC, 2.0 percent compared to 0.6 percent for MDCs in 1992, the share of the world population from LDCs is projected to increase. By the beginning of the next century, it wil increase to 79 percent, and wil reach 83 percent by 2025.

Long-run trends, up to 2150, are constructed by gradually bringing fertility and mortality in harmony, i.e., by setting fertility at a level where each woman replaces herself under projected mortality conditions, and by assuming net international migration to be zero. The result of these assumptions is that the population gradually becomes stationary, with a fixed age structure that is independent of its current age structure and a growth rate of zero. The "ultimate' size of such stationary populations is of interest because it demonstrates the momentum built into populations by current fertility and mortality conditions. _The_ size of the stationary population of the world is projected as 12.2 billion, of which 88 percent would live in countries currently defined as less developed.
INTRODUCTION IX Figure 1. Increase in Population Average annual increase (millions) <!-- Start of picture text --> By 5-year period By 2S<year period<br>1900.95 2010045 201O013 20225 2050.75 2100-25<br>Period<br><!-- End of picture text --> Figure 2. Comparison of Projections 1990-91 Edition and 1992-93 Edition <!-- Start of picture text --> 110> = --- = MDC, 1990-91<br>1. - MDC, 1992-93<br>LDC, 1990-91<br>70a , LDC, 1992-93<br>3O<br>260 240 21'00 2140<br>2000 2040 2000 2120 2160<br>Year<br><!-- End of picture text -->
# X INTRODUCTION

How do the projections for the world and for LDCs and MDCs compare with those previously produced? Figure 2 compares this year's projections with the previous set (1990-91). For MDCs, there is no distinguishable difference between the projected populations. In the case of the LDCs projections, this year's projection is, from the early part of the 21st century onward, increasingly below the previous projection. This reflects the Impact of AIDS, which increases the number of deaths and reduces the number of births. For the world as a whole, the projections differ to the same extent as the LDC projections differ.

When growth rates for major world regions are compared, striking differences become apparent. The continent with the highest growth rate is Africa with an annual rate of 2.9 percent in the early 1990s, about six times the 0.5 percent annual growth rate of Europe (which includes the former U.S.S.R. countries). Growth rates in the Americas, in Asia, and in Oceania are intermediate; at 1.5, 1.8, and 1.6 percent, respectively, they are close to the world's average. At these growth rates, the population of Africa would double in approximately 25 years, while Europe would double in 140 years.

One of the consequences of such large differences In population growth rates is a changing distribution of the population over the continents. Currently, Asia has 59 percent of all people; Europe, 15 percent; America, 14 percent, Africa, 12 percent, and Oceania, 1 percent. Over time, Asia's share is projected to remain fairly stable, but Europe's share will almost be halved and Africa's share more than doubled. Figure 3 shows the distribution of the worid's population at three different points in time.

Because Asia is so large and diverse, disaggregation of its populations by subregions is more illustrative of the differences in population growth rates. South Asia, which has 1.24 billion people (23 percent of the world population), has an estimated growth rate of 2.0 percent in 1992, while East and Southeast Asia, which include China and contains 1.85 billion people (34 percent of the world population), had a lower rate of 1.4 percent. South Asia is growing annually by 25 million, East and Southeast Asia by 27 million persons. By 2025, the growth rates are projected to decline to 1.1 percent and 0.9 percent, respectively. Even with these lower rates, 23 million people will be added in South Asia each year and 17 million in East and Southeast Asia because of their large projected base populations of 2.05 billion and 2.54 billion. Southwest Asia, which consists mostly of Middle Eastern countries, has a much smaller number of people, 143 million, but is growing at a faster rate than the other two regions, with a growth rate of 2.9 percent in 1992. It is projected to lower its growth rate to 1.6 percent by 2025, but will by then have more than doubled Its population to 293 million.

In Africa, more homogeneity is found among the East, West, and North subregions. The fastest growing subregion is East Africa with a growth rate of 3.0 percent in 1992, followed by West Africa with a growth rate of 2.9 percent. North Africa, has begun to lower its growth rate but still has a growth rate of 2.5 percent, which is projected to diminish to 1.3 percent by 2025. Even though East Africa's growth rate is projected to start declining immediately, by 2025 it will still have a growth rate of 1.9 percent, and will add 14 million persons a year. In West Africa, the growth rate is projected to decrease to 1.7 percent in 2025, but will still be adding 9 million persons each year. These differences In growth rates are the outcome of assumed trends in fertility and mortality (discuss'<sup>4</sup> below).

Oceania has a growth rate of 1.6 percent in 1992 and is projected to lower its rate to 0.6 percent by 2025. Because of Its small population (0.5 percent of the world's total) its impact on world demographic trends is triviaL
INTRODUCTION Xl

# Figure _3._ Percentage Distributiorn of World Population by Continent, 1990, 2025, and 2100

<!-- Start of picture text --> 1990<br>~~~~~~~~~~~~~~~~~~~137<br>4 l !p (1<br><!-- End of picture text --> <!-- Start of picture text --> 2025<br><!-- End of picture text --> <!-- Start of picture text --> 2100<br>O.(,<br><!-- End of picture text -->
## Xli **INTRODUCTION**

America is divided into two subregions, North America and Latin America and the Caribbean. In North America, the growth rate is relatively low, 0.9 percent in 1992, and is projected to decline to 0.3 percent by 2025, as net migration from Latin America is assumed to diminish. In Latin America and the Caribbean, the growth rate in 1992 was significantly higher, 1.8 percent, and is projected to decline to 0.9 percent by 2025.

The lowest growth rate for any continent, _.5_ percent in 1992, is found in the region comprised of Europe and the former Soviet Republics. This rate is projected to decline further to .2 percent by 2025.

# Tables 1 and 2 summarize current and projected trends in population growth.

# _Fertihy_

The total fertility rate (TFR) for the world is estimated to be 3.2 children per woman in 1992. The highest TFRs are found in East and West Africa, where the TFR is above 6. Most countries in the Asian and Latin American regions have moderate fertility of three to five children per woman, although both continents contain coun,.ries with very high and very low levels. MDCs have the lowest fertility, with rates generally ranging between 2.5 and 1.5, but one of the former Soviet Republics, Tajikistan, has a TFR of 5.

World fertility is projected to decline from 3.2 now to 2.9 by the turn of the century and to 2.4 by 2025. These projected trends in fertility are determined from past trends and general assumptions as described in _Data and Methods._ For countries with high fertility, the trend is assumed to be downward, and substantial fertility decline is projected. Countries that have reached below replacement level fertility are assumed to gradually raise their TFRs to replacement.

In East and West Africa, recent trends in fertility are downwards, but only slightly so. Between 1985 and 1992, the TFR has declined from 6.4 to 6.2 in these regions that together constitute Sub-Saharan Africa. Only a few countries have shown sustained decline in fertility, while the majority of countries have had persisted high fertility, with the highest TFRs at levels above 7 chi'- en per woman in such countries as Malawi, Niger, Rwanda, and Uganda. In some countries (such as Cameroon and Angola), fertility has been increasing as sterility rates declined. On the basis of these levels and trends, fertility decline is projected to be slow in the 1990s as well, with replacement fertility in most countries not reached until after 2040. North Africa, on the other hand, has had a substantial declne in the past decade, from 5.6 to 4.6 children per woman, and four out of the seven countries in this region are projected to achieve replacement fertility by 2020.

In Asia, most countries have begun the transition from high to low fertility, with many declnes starting before and during the 1970s. In East and Southeast Asia, fertility has already reached a low level of 2.5 children per woman. South Asia, at 4.1 children per woman, has progressed less far in this process, and Southwest Asia has still further to go. However, each subregion of the Asian continent includes countries at different stages of the fertility transition; each subregion has at least one country with a TFR of 6 or greater and one country with replacement level fertility. The projections of when replacement fertility will be reached are determined by the trends in individual countries with the slowest decline; the Asian subregion aggregates will therefore be late in achieving this.

On the American continent, fertility in all countries has dropped to below 6 children per woman, but some countries have gone much further than others. The TFR for Latin America is intermediate at 3.1, and replacement fertility is projected to be reached in every country no later than
INTRODUCTION Xlil

# 2035. In Northern America, fertility is at 2 children per woman, i.e., just below replacement level.

Europe (including the former U.S.S.R. republics) is the only continent where aggregate fertility is currently below replacement, Ie., where women are not having enough children to replace themselves. Recent trends in some countries of Europe show small increases in fertnity, and the projections assume that the TFR will recover to replacement level by 2030. Europe is also the continent with the most homogeneous fertility levels: with the exception of four of the former Soviet republics that have TFRs above 3, fertlUty in the other 41 countries varies in a narrow range between 1.5 and 2.8.

Another measure sometimes used to examine fertility trends is the crude birth rate, a rate that is not adjusted for the age structure of the population. The 1992 crude birth rate for the world as a whole is 25.7 births per thousand population and is projected to decline to 22.2 by the turn of the century, and decline further to 17.8 by 2025. In MDCs, the 1992 crude birth rate is 14.3 while the rate in LDCS is 29.0. Crude birth rates are projected to decrease to 18.6 in LDCs and to 12.2 in MDCs by 2025.

# _Mortiy_

Mortality levels in all continents have decreased in the past decade, continuing a long-term trend towards longer life. Life expectancy at birth, a measure constructed from current age-specific mortality rates applied to a cohort born this year, is estimated at 66 years for the world in 1992, with male levels at 64.5 years and female levels at 67.0 years. Life expectancy Is 12 years lower in LDCs than in MDCs. Projected mortality trends for individual countries are based on current levels and recent trends, with faster increases in life expectancy projected in countries with lower life expancies and those with rapid recent increases (see _Data and Methods)._ Life expectancy is projected to reach 70 years for the world as a whole in approximately 2010. However, differences between regions are expected to remain important, and even increase in some cases. Sub-Saharan Africa is only projected to reach a life expectancy of 60 years by 2020, and South Asia is not projected to reach 70 years until approximately 2025. On the other hand, more developed regions, are projected to attain life expectancies of 80 years around 2015.

On the African continent, the lowest regional lfe expectancies are found in East and West Africa where combined (male and female) life expectancy at birth is only 52 and 50 years, respectively. Since the 1970s, life expectancy in East and West Africa has increased by about 6 years. Further increases are expected because of continued progress in socioeconomic development and health interventions; however, in East Africa especially, overall life expectancy will increase only gradually because of increasing mortality from AIDS. In some countries where the HIV/AIDS epidemic has spread widely, such as Uganda, Malawi, and Zambia, projections indicate a reversal of recent gains in life expectancy (see _Special Topic 1)._ North Africa has considerably better mortality conditions, with combined life expectancy of just over 60.

South Asia has the worst mortality conditions of the Asian subregions, but improvement has been quite rapid since the mid 1970s, with life expectancy increasing from 49 to 59 years currently. Life expectancy in Southwest Asia is near the world's average, while East and Southeast Asia is wellabove that at 70 years. East and Southeast Asia contains some of the countries (Japan, Hong Kong) with the highest measured life expectancies in the world.

The American continent contains the Northern America region which has the highest aggregate life expectancy, 76.7. In Latin America and the Caribbean, life expectancy is slightly above the world's average.
# XIV INTRODUCilON

The European region has the second highest aggregate life expectancy, 74.4. Every country in this region is above the world's average. Moving from west to east through this region, life expectancies tend to decline, from a high of 78 in Iceland to a low of 66 in Turkmenistan.

Female life expectancy at birth is higher than male life expectancy at birth in al regions in the world, with the exception of the South Asia region, where males and females have the same life expectancy. In some countries in South Asia, such as Nepal and Bhutan, males have higher life expectancies. The largest gaps between males and females are found in some of the former Soviet republics, where females have an advantage of over 10 years (see _Special Topic II)._ The variations in the sex difference in life expectancy can often be explained by different life styles, health conditions, and cultural practices. In South Asia, for example, preferential treatment of boys and high maternal mortality rates are important reasons for reduced female life expectancy, whereas alcohol abuse and smoking reduces male life expectancy in parts of Europe.

Other indicators of mortality included in the detailed country projections are the infant mortality rate (IMR), the under-five mortality rate (qs), life expectancy at age 15, and the crude death rate (CDR). The first three are strongly correlated with life expectancy at birth; the CDR is affected by the age structure of a population and is therefore a much poorer indicator of mortality conditions.

Table 3 summarizes vital rates for geographic regions for the current and two future periods.

# _Migration_

At the regional level, international net migration has a trivial effect on population growth. The most significant flow occurs between Latin America and the Caribbean and Northern America, which amounts to just over one-half million persons per year. Migration often occurs for unpredictable reasons, and is often reversed in a short time period; the projections of future net migration assume a gradual decline to zero from current levels.

# _Age Structure_

The age structure of a population gives information about the size of the school-age population, labor force size, and age-dependency, among others. It is also a very powerful indicator of future population growth potential.

The percentage of the world's population under the age of fifteen is estimated to be 32 percent in 1992, or approximately one in three persons. This proportion is projected to decrease slightly to 31 percent by the turn of the century, and to decline further to 25 percent in 2025 as fertility rates decrease. The trend for the proportion of persons sixty-five years of age or older, on the other hand, is rising in all regions of the world as the result of lower fertility and lower mortality rates at older ages. This proportion is estimated to be 6 percent in 1992, and will increase to 7 percent by the year 2000, and to 10 percent by 2025.

The distribution of persons by age is very different in LDCs and MDCs. In LDCs, 36 percent of the population is under the age of _15,_ whereas this is only 22 percent in MDCs. By 2025, however, these differences are projected to become smalier as fertility In LDCs is reduced further. At that time, the percentage of the population under the age of 15 is estimated to decline to 27 percent in LDCs and to 18 percent in MDCs.

The proportion of persons aged 65 and over, on the other hand, will be rising, particularly in MDCs. The percentage of this age-group in 1992 in MDCs is estimated to be, 12 percent, is
INTRODUCTON XV projected to rise to 14 percent by the year 2000, and rise to 20 percent by 2025. In LDCs, the proportion of the population aged 65 and over is only 4 percent in 1992, 5 percent in 2000, and 8 percent in 2025.

The under age 15 and 65 years and over population as a ratio of those In the working ages between 15 and 65 years is called the dependency ratio. This measure indicates how many persons, on average, are dependent per 100 persons of working age. Table 4 shows these three broad age groups for the regions of the world. The dependency ratio is currently highest in Africa, at 92, and lowest in Europe, at 52. Over time, however, dependency in Africa will decrease as fertility declines, whereas it wil increase In Europe as the population grows older.

# World Bank Regions and Income Groups

The World Bank divides borrower countries into six regions: Sub-Saharan Africa, East Asia and Pacific, South Asia, Europe and Central Asia, Middle East and North Africa, and Latin America and the Caribbean. Within regions, countries are grouped in two to six country departments. In addition, the Bank also assigns each country to one of four income groups. _Box_ 1 shows the countries grouped by income, _Box 2,_ by country department. This section will discuss the population growth, fertility and mortality rates of Bank regions, country departments, and income groups.

The largest region is East Asia and Pacific which currently has 30 percent of the world's population. It is foUowed by South Asia with 21 percent, Africa with 10 percent, Europe and Central Asia with 9 percent, Latin America and the Caribbean with 8 percent, and Middle East and North Africa with _5_ percent. Table 6 shows projections for the six regions and their departments. Figure _5_ shows population growth rates for all Bank departments. As the Bank regions resemble geographic regions or subregions, the discussion will focus on Bank departments.

The growth rates of the country departments reflect those of the regions as a whole, but there Is some variation. In Sub-Saharan Africa, the rates range from 3.2 percent to 2.8 percent, with the highest rates found in the Eastern African department and the lowest rates found in the Sahelian and Southern Afican departments.

Another region that has similarly high growth rates is the Middle East and North Africa. The growth rate is higher in the Country Department II, 3.0 percent, which includes the Middle Eastern countries, than the Country Department I, of North African countries, 2.7 percent, where the fertility transition is funher along.

More diversity is found among the Asian country departments. In South Asia, the growth rates for the three departments range from 2.0 percent to 2.6 percent. The growth rates of the three East Asian and Pacific Country Departments are lower and range from 1.9 percent to 1.4 percent.

Latin America and the Caribbean region is similar to the East Asian and Pacific region in that growth rates are moderately high with a range from 2.1 percent to 1.4 percent, with the highest rates found in Country Departments I and IL The European and Central Asian country departments include Eastern European, Baltic countries, C.LS. countries, and a few Asian countries and have the lowest growth rates of any of the regions. Country Department I, which includes some Central Asian countries and some Eastern European countries, has a growth rate of 1.3 percent, and the other two departments made up of Eastern European and former Soviet republics have rates of only .4 percent and .8 percent.
XVi INTRODUCTION Figure 4. World Bank Regions <!-- Start of picture text --> IBRD 24229<br><!-- End of picture text --> <!-- Start of picture text --> SUB-SAHARAN AFRICA WORLD BANK REGIONS<br>© LAC (Including North America)<br>© SOUTH ASIA<br>EASTASIAAND PACIFIC<br>®!)<br>EUROPE and CENTRAL ASIA<br>(~)<br>(i) NORTH AFRICA and MIDDLE EAST , ,m,<br><!-- End of picture text --> <!-- Start of picture text --> OC=8ER1992l<br><!-- End of picture text -->
INTRODUCTION xvii Figure _5._ Population Growth Rate, 1990-95, by Country Department <!-- Start of picture text --> a_<br>25<br><!-- End of picture text --> Figure 6. Total Fertility Rate, 1990-95, toy Country Department <!-- Start of picture text --> .so<br>20<br>10<br><!-- End of picture text --> <!-- Start of picture text --> 7<br>Figure 7. Wie Exeancy at Birth, 1990-95, by Country Department<br>F 6 Al FA9o<br><!-- End of picture text -->
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INTRODUCIVIN **xix**

**_(based_** _on_ **_GNP per capita_** _in_ **_1990 U.S. dollarsi)_**

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XX INTRODUCTION

**_Bex_** _2 Countries and Economies Classified_

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INTRODUCTION XXi _by World Bank Region and Country Department'_ t*o ;##S - ~~~~.... **...** ... **..** .............. * t a .n **.** ...

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xxii INTRODUC11ON Figure 6 compares TFRs for all countlry departments. For the Africa region, there is more variation in fertility among the departments than for population growth: TFRs range from 5.6 in the Southern Africa Department (AF6) to 6.9 in the Eastern Africa Department (AF2). In both the Middle East and North Africa and South Asia regions, the fertility rates are medium high -- at 5.5 to 3.7, they are below those of the Africa departments, but above those of all other departments.

The departments in the East Asia and Pacific and Latin America and Caribbean regions have fertility rates that are medium-low: at 3.4 to 2.4 children per woman, they are less than 1.5 to 0.5 children above replacement fertility. Replacement fertility in most countries that constitute these departments is projected to be achieved in the next 10 to 20 years. The Europe and Central Asia departments are very close to replacement fertility, and some countries In this region have dipped below net reproduction rates of 1, which, if sustained, would lead to declining populations in the long run.

Figure 7 compares life expectancies at birth across country departments, and presents an almost reversed ordering of the departments In Figure 6. For the departments of Sub-Saharan Africa, the combined male-female life expectancies are in just above 50 years, the exception being Sahelian Africa (AF5) with a life expectancy of 48 years. In South Asia, the life expectancies are slightly higher, ranging from 52 to 60 years.

In the North Africa and Middle East, East Asia and Paciflc, and Latin America and Caribbean departments, the life expectancies are ail in the 60-70 years range. Four departments have life expectancies just above 70 years, two of which are in Europe and Central Asia (EC2 and EC3), one in Latin America and the Caribbean (LA4), and one in East Asia and Pacific (EA2).

The income groups, of which there are four, are less distinct demographically than the regional grouping. The low-income group (per capita income in 1990 of $610 or less), contains 50 countries that are mostly from Sub-Saharan Africa, South Asia, Southeast Asia, with a few countries from Latin America. These countries comprise 58 percent of the world population and have the highest fertility and mortaUty rates. They include some of the largest countries such as China and India. The 57 lower-middle income countries (per capita income between $611 and $2400) have 11 percent of the world populadon, and include many countries from Latin America, some from all of the other developing areas, as well as some Eastern European countries.

The upper-middle income countries (per capita income between $2400 and $7650) have only have 10 percent of the world population. Most of the 33 countries that make up this group are from Eastern European and Middle Eastern oil-producing countries. Population growth rates and fertility vary widely within this group, but life expectancies are considerably higher than for the lower-middle and lower income groups. The 42 high income countries have per capita income greater than $7650, and have 16 percent of the world's population. They are chiefly the more developed countries from North America and Europe and have the lowest fertility and mortality rates, with the exception of Kuwait which has a TFR of 3.4 children per woman.

The difference in population growth between the low- and middle- income groups is not as large as may be expected. The reason for this is the inclusion of China and India, which both have moderate growth rates, in the low income group. As the ove. .' ?rowth rate is an average of country growth rates weighted by population size, China and India *epress the low-income growth rate. Without China and India, the low inoDme countries would have the highest growth rate (Z5 percent per year).

Projections for these income groups do not take into account that some countries are likely to move from one income group to another over time.
INTRODUCTION XXiii

# Some Country Results

Individual country projections provide sharper contrasts than aggregate geographic, Bank region, or income group projections, which, by combining several countries, smooth unique patterns. In this section, results will be discussed for a few large countries, because of their importance in determining the world's demographic situation, and for several smaller countries with striking demographic features.

The most populous country in the world is China with a population of 1.2 billion. Its population growth rate, 1.5 percent in the early 1990s, is low for a low-income country, and is due to the low level of fertiity that has been achieved over the last two decades. From 1970 to 1985, the T1FR declined from 5.8 to 2.5, where it has stalled in the past few years. At the same time, life expectar,cy increased from 61 to 70 years, well-above the current average of 59 years for other lowincome countries. Because of its sizeable lead in population over the second largest country, and because of the momentum built into the age structure, China is projected the remain the most populous country until 2120.

India, the second most populous country, has an estimated population of 883 million in 1992. Because of its higher TFR, it is growing faster than China -- 2.0 percent per year -- despite higher mortality. The population of India is projected to surpass the 1 billion mark in the year 2000, and to surpass China in total population by 2120.

The United States is, following the breakup of the U.S.S.R., the third most populous country. Its demographic characteristics are those of a typical MDC, with below-replacement fertility, high life expectancy, and an age pyramid that appears increasingly rectangular. The U.S. is atypical in that its growth rate is relatively high as the result of net migration: 25 percent of the United States' annual growth of 0.9 percent is due to immigration. In absolute numbers, the U.S. is by far the largest recipient of immigrants, with an annual immigration surplus of about 600,000 during the early 1990s.

AU of the regions have positive growth rates, but a few countries are in fact losing people. These countries are in one of two regions: in Latin America and the Caribbean, where several small island countries (Dominica, Grenada, St. Kitts and Nevis) have recently had negative growth rates, and in Europe (Bulgaria, Hungary, and Ireland). In the case of the Caribbean islands, the cause of population decline Is outmigration, whereas in Eastern Europe it results from a combination of below replacement fertility and outmigration. By 2025, a dozen countries in the MDC group are projected to have declining populations, including several large countries (Japan, Germany, and Italy). Even though fertility is assumed to recover to replacement by 2030, the effect of "negative momentum' built into the age structures of these countries is to maintain negative growth rates for several decades.

The highest growth rates are found in countries which have a large number of immigrants relative to their existing populations. The highest annual growth rates In the early 1990s are for Israel (4.8 percent), Jordan (4.8 percent), Oman (4.0 percent) and Saudi Arabia (3.7 percent). However, some other countries attain comparable growth rates through the excess of births over deaths without immigration: Rwanda (3.9 percent), Kenya (3.5 percent) and Swaziland (3.5 percent).

The lowest TFR in the early 1990s is in Italy (1.32 children per woman). Several other Mediterranean countries are similarly low: Spain (1.46), Greece (1.52), and Portugal (1.57). While these countries once lagged the rest of Europe in the fertility transition, they have continued fertility decline to below levels observed in the countries of Northern and Western Europe, some of which (Sweden, Denmark) have had recent slight increases in their TPR.
XXIV IWTODUCTION Six African countries and one country in Asia have TFRs of 7 chidren or more per woman. The highest is Rwanda (8.3), followed by Yemen (7.7), Malawi (7.6), and Ethiopia (7.5). CountrIes with such high fertility are expected to eventually follow the pattern of countries such as Kenya and Zimbabwe, which previously had very high fertility and have started the transition from high to low fertiity in the 1980s. But some countries with medium.high and high fertility (Mozambique, Tanzania, Niger, among others) are experiencing Increases In the TFR as a result of declining prevalence of some sexually transmitted diseases (STDs). STDs cause secondaqy infertility, which depresses the number of children born to women.

Ufe expectancy is highest in Japan (79 years, average of male and female life expectancies). This is just more than twice the life expectancy of Ouinea-Bissau, which, with 39 years, has the lowest life expectancy of all countries in the world. Age-specific mortality rates, the components from which life expectancy is constructed, show even greater disparities: an infant in Japan has a chance of 5 per 1000 of dying in its flrst year, whereas this is 30 times higher in Guinea-Bissau. In several SubSaharan countries, the probability that a child will not live to age S is one in four, in the countries with the best mortality conditions, this is only one in 150 children.

The following set of tables provides additional detail of current estimates and projections of population growth and vital rates. Tables 1 to S show demographic indicators for the world, less devloped and more developed regions, and geographic regions. Tables 6 to 9 show indicators for the Bank's regions and countly departments. Tables 10 to 15 show summary demographic indicators extracted from the main tables to facilitate comparisons among countries. Table 16 shows the populations of small countries that constitute the "other groupings.
INTRODUCTION XXV Table 1. _Population and Percentage Distrbudon by Geographic Region, 1985-2100_

|||Po|pulati|on<br>(mil|lions)|||Percen|tage<br>of w|orld p|opulat|ion|
|---|---|---|---|---|---|---|---|---|---|---|---|---|
|Regfon|1985|1990|2000|2025|2050|2100|<br>1985|1990|2000|2025|205|0 2100|
|World<br>Less Developed<br>(a)<br>More Developed<br>(a)<br>Africa<br>East Africa<br>West Afreca<br>North Africa<br>America<br>Latin America<br>and Carib.<br>Northern<br>America<br>Asia<br>East and Southeast<br>Asia<br>South Asia<br>Southwest<br>Asia<br>Europe<br>and former<br>U.S.S.R<br>Oceania|4827<br>3650<br>1177<br>542<br>233<br>185<br>124<br>667<br>399<br>268<br>2823<br>1653<br>1055<br>115<br>. 770<br>25|5268<br>4053<br>1214<br>627<br>272<br> <br>215<br>140<br>721<br>441<br>280<br>3103<br>1788<br>1182<br>133<br>790<br>27|6168<br>4886<br>1282<br>831<br>367<br>287<br> <br>177<br> <br>830<br>524<br>306<br>3650<br>2044<br>1432<br> <br>174<br>825<br>31|8345<br>6944<br>1401<br>1467<br>684<br> <br>515<br> <br>268<br>1061<br> <br>709<br>352<br>4885<br>2546<br>2046<br> <br>293<br>894<br>39|10055<br>8623<br>1433<br>2079<br>1006<br> <br>730<br> <br>343<br>1201<br> <br>839<br> <br>362<br>5811<br>2840<br>2570<br> <br>401<br>922<br>43|11652<br>10200<br>1452<br>2784<br>1399<br> <br>978<br> <br>408<br>1285<br> <br>916<br> <br>369<br>6596<br>3013<br>3076<br> <br>507<br> <br>941<br>45|100.0<br>75.6<br>24.4<br>11.2<br>4.8<br>3.8<br>2.6<br>13.8<br>8.3<br>5.6<br>58.5<br>34.2<br>21.9<br>2.4<br>15.9<br>0.5|100.0<br>76.9<br>23.1<br>11.9<br> <br>5.2<br> <br>4.1<br> <br>2.7<br>13.7<br> <br>8.4<br> <br>5.3<br>58.9<br>33.9<br>22.4<br> <br>2.5<br>15.0<br>0.5|100.0<br>79.2<br>20.8<br>13.5<br> <br>6.0<br> <br>4.7<br> <br>2.9<br>13.5<br> <br>8.5<br> <br>5.0<br>59.2<br>33.1<br>23.2<br> <br>2.8<br>13.4<br>0.5|100.0<br>83.2<br>16.8<br>17.6<br> <br>8.2<br>6.2<br> <br>3.2<br>12.7<br>8.5<br> <br>4.2<br>58.5<br>30.5<br>24.5<br> <br>3.5<br>10.7<br>0.5|100.0<br>85.8<br>14.2<br>20.7<br>10.0<br>7.3<br> <br>3.4<br>11.9<br> <br>8.3<br> <br>3.6<br>57.8<br>28.2<br>25.6<br>4.0<br>9.2<br> <br>0.4|100.0<br>87.5<br>12.5<br>23.9<br>12.0<br>8.4<br>3.5<br>11.0<br> <br>7.9<br> <br>3.2<br>56.6<br>25.9<br>26.4<br>4.4<br> <br>8.1<br> <br>0.4|

- a. "More developed comprises Europe, the former U.S.S.R.. Northern America (the United States and Canada), Australia, Now Zealand, and Japan. "Loss devoloped" comprises the rost of the world.

Table 2. _Annual Population Increase and Growth Rate by Geographkc Regon, 1985.2100_

||Annual p|opulation|Incre|ase<br>(mil|ifons)|||Annu|al growt|h<br>rate (|percent|)|
|---|---|---|---|---|---|---|---|---|---|---|---|---|
||1985-90|1990-95|2000-05|2025-50|2050-75|2075-210|0 1985-90|1990-95|2000-05|2025-50|2050-75|2075-2100|
|World<br>Less Developed (a)<br>More Developed (a)<br>Africa<br>East Africa<br>West Africa<br>North Africa<br>America<br>Latin America and Carib.<br>Northern America<br>Asia<br>East and Southeast Asia<br>South Asia<br>Southwest<br>Asia<br>Europe<br>and former<br>U.S.S.R<br>Oceania|88.2<br>80.6<br>7.4<br>17.0<br>7.8<br>6.0<br>3.3<br>10.7<br>8.3<br>2.4<br>56.0<br>27.0<br>25.4<br>3.4<br>. 4.1<br>0.4|90.6<br>83.6<br>7.0<br>19.3<br>8.9<br>6.7<br>3.7<br>11.2<br>8.5<br>2.7<br>56.0<br>26.8<br>25.2<br>4.1<br>3.6<br>0.4|88.8<br>82.7<br>6.1<br>23.5<br>11.2<br>8.5<br>3.8<br>9.9<br>7.7<br>2.2<br>51.7<br>22.1<br>25.1<br>4.5<br>3.4<br>0.4|68.4<br>67.1<br>1.3<br>24.5<br>12.9<br>8.6<br>3.0<br>5.6<br>5.2<br>0.4<br>37.1<br>11.8<br>21.0<br>4.3<br>1.1<br>0.2|41.5<br>41.3<br>0.2<br>18.4<br>10.2<br>6.9<br>1.8<br>2.4<br>2.2<br>0.1<br>20.3<br>4.4<br> <br>13.0<br>2.9<br>0.3<br>0.1|22.4<br>21.8<br>0.6<br>9.8<br>5.6<br>3.4<br>0.8<br>1.0<br>0.9<br>0.1<br>11.1<br>2.5<br> <br>7.3<br>1.3<br>0.4<br>0.0|1.75<br>2.10<br>0.62<br>2.93<br>3.09<br>2.95<br>2.53<br>1.54<br>1.97<br>0.89<br>1.89<br>1.57<br>2.27<br>2.78<br>0.53<br>1.64|1.65<br>1.96<br>0.57<br>2.87<br>3.04<br>2.91<br>2.45<br>1.49<br>1.84<br>0.94<br>1.73<br>1.44<br>2.02<br>2.87<br>0.45<br>1.57|1.39<br>1.62<br>0.47<br>2.64<br>2.83<br>2.77<br>2.02<br>1.16<br>1.42<br>0.70<br>1.37<br>1.05<br>1.68<br>2.41<br>0.41<br>1.19|0.75<br>0.87<br>0.09<br>1.39<br>1.55<br>1.39<br>0.99<br>0.49<br>0.67<br>0.12<br>0.69<br>0.44<br>0.91<br>1.26<br>0.12<br>0.39|0.39<br>0.45<br>0.01<br>0.80<br>0.90<br>0.80<br>0.49<br>0.19<br>0.25<br>0.04<br>0.33<br>0.15<br>0.47<br>0.67<br>0.03<br>0.14|0.20<br>0.22<br>0.04<br>0.37<br>0.42<br>0.37<br>0.20<br>0.08<br>0.10<br>0.03<br>0.17<br>0.08<br>0.24<br>0.27<br>0.05<br>0.08|

a. "More devoloped cofprises Europe, the former U.S.S.R., Northern America (the United States and Canada), Australia, New Zealand, and Japan. "Less developed" comprises the rest of the world.
**0** a **_CW3_ 0**

Table 3. _Fertility and Mortality Rates by Geographic Rein 1990-95, 200-5 and_

-~~~~~~~~~~~~~~~~~~~~~~~~~~-

|||199|0-95||||200|0-05||||202|5-30|||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|Region|**CBR**|<br>TFR|**CDR**|e(O)|IMN|CBR|<br>TFR|**CDR**|e(O)|**INR**|<br>**CBR**|<br>TFR|CDR|**e(O)**|**INR**|
|World<br>Less Developed (a)<br>NoreDeveloped**(a)**<br>Africa<br>East Africa<br>WestAfrica<br>North Africa<br>America<br>LatinAerica<br>and Carib.<br>Uorthem America<br>Asia<br>East**and**Southeast Asia<br>SouthAsia<br>SouthwestAsia<br>**Europeand**formerU.S.S.R.<br>**oceania**|25.7<br>29.0<br>14.3<br>42.5<br>45.2<br>44.4<br>34.3<br>21.9<br>26.0<br>15.4<br>25.9<br>21.6<br>31.1<br>35.4<br>14.4<br>19.3|3.23<br>3.59<br>1.95<br>5.85<br>6.30<br>6.16<br>4.55<br>2.70<br>3.12<br>1.99<br>3.16<br>2.49<br>4.13<br>4.75<br>1.99<br>2.45|9.2<br>9.2<br>9.1<br>13.8<br>14.8<br>15.2<br>9.6<br>7.3<br>6.6<br>8.3<br>8.5<br>7.0<br>10.7<br>7.9<br>9.8<br>7.8|66.0<br>63.2<br>75.5<br>53.6<br>52.3<br>50.5<br>60.8<br>71.6<br>68.4<br>76.7<br>65.1<br>69.5<br>58.7<br>65.3<br>74.4<br>72.9|63<br>70<br>12<br>98<br>104<br>104<br>70<br>36<br>46<br>9<br>63<br>34<br>93<br>62<br>15<br>24|22.2<br>24.5<br>13.2<br>38.3<br>41.4<br>40.5<br>28.0<br>17.8<br>20.4<br>13.4<br>21.3<br>17.3<br>25.8<br>30.4<br>13.4<br>17.1|2.87<br>3.07<br>1.96<br>5.11<br>5.70<br>5.38<br>3.54<br>2.29<br>2.42<br>2.01<br>2.69<br>2.18<br>3.26<br>4.01<br>1.98<br>2.31|8.2<br>8.1<br>8.8<br>11.9<br>13.1<br>12.8<br>7.8<br>6.5<br>5.8<br>7.9<br>7.5<br>6.7<br>8.9<br>6.3<br>9.3<br>7.4|68.5<br>66.1<br>77.8<br>56.0<br>53.7<br>53.6<br>64.6<br>74.2<br>71.6<br>78.8<br>68.2<br>72.2<br>62.5<br>68.8<br>76.9<br>74.9|50<br>56<br>9<br>80<br>87<br>83<br>51<br>25<br>32<br>7<br>48<br>23<br>71<br>46<br>11<br>16|17.2<br>18.2<br>12.2<br>25.2<br>27.5<br>25.5<br>18.8<br>14.2<br>15.1<br>12.3<br>16.4<br>14.1<br>18.5<br>20.8<br>12.4<br>13.9|2.36<br>2.41<br>2.06<br>2.97<br>3.27<br>2.92<br>2.31<br>2.08<br>2.09<br>2.06<br>2.25<br>2.09<br>2.37<br>2.60<br>2.06<br>2.10|7.7<br>7.3<br>10.0<br>7.9<br>8.3<br>8.3<br>6.4<br>7.3<br>6.4<br>9.1<br>7.4<br>7.6<br>7.4<br>5.3<br>10.0<br>8.1|74.0<br>72.5<br>81.6<br>64.0<br>62.2<br>62.2<br>72.1<br>79.1<br>77.5<br>82.3<br>74.7<br>78.0<br>70.8<br>74.9<br>81.0<br>79.1|24<br>27<br>4<br>50<br>55<br>53<br>22<br>7<br>8<br>3<br>18<br>8<br>28<br>19<br>4<br>12|

Mote: Crude birth rates (CUR) **and** crude death rates (CDR) are per 1,000 population; total fertility rates (TFR) are per waimn 15-49 years of ge; life expectancies at birth, **eCO),** is given in years; and infant ortality rates (IMN) are per 1,000 live births.
INTRODUCnON XXVII Table 4. _Poplation (mWioei) 4ge 0-14, 15-6, and 65 and over by Geographic Region_

|Yearnd<br>Agegroup|World|Less<br>deveoped|Nors<br>developed|Africa|Amercs|Asia|Europe<br>former U|, Oceania<br>SSR|
|---|---|---|---|---|---|---|---|---|
|1990<br>0-14<br>15-64<br>65+|1708<br>3231<br>329|1446<br>2427<br>180|261<br>804<br>149|282<br>326<br>19|219<br>448<br>54|1026<br>1922<br>155|173<br>519<br>98|7<br>17<br>2|
|2000<br>0-14<br>15-64<br>65.|1913<br>3830<br>425|1653<br>2989<br>243|260<br>841<br>182|365<br>441<br>25|232<br>533<br>65|1139<br>2299<br>212|170<br>537<br>119|8<br>20<br>3|
|2025<br>0-14<br>15-64<br>|2097<br>5405<br>|1841<br>4546<br>|256<br>859<br>|516<br>894<br>|230<br>692<br>|1176<br>3243<br>|166<br>551<br>|8<br>25<br>|
|65.|844|557|287|56|139|466|177|6|

Note: **"Nore** developed compris Europe, the forwer U.S.S.R., Northern Americo (the United States **an Caned.),** Australio, **New** Zealand, **and** Japan. **Less** developed& comprises the rest of the world.

Table S. _Long-n and Sadury_ **_Populadon, Momna_** _Doubling_ **_Year,_** _and Year when Net Rewoacdon_ **_vwachd I_** _by Geogaphik_ **_Re*n_**

||P<br>1990|opulat<br>2050|ion<br>(millio<br>2100|ns)<br>Statio-<br>nary|Statfonar<br>populatfon<br>over<br>1990<br>population|y<br>Year<br>when<br>popula-<br>Populoaton tion<br>momentum doubtles|NRR1|
|---|---|---|---|---|---|---|---|
|World<br>Less<br>Doveloped_(a)_<br>Nore Developed(a)<br>Afrfei<br>Eat Africe<br>gestAfriea<br>North Afrfca<br>America<br>LatfnAerice_and_Carib.<br>Northern Aerica<br>Asia<br>East**nd**SoutheatAsia<br>SouthAefa<br>southwestAsia<br>Europeand fonmrU.S.S.R.<br>Ocean1i|5268<br>4053<br>1214<br>627<br>272<br>215<br>140<br>721<br> 441<br>280<br>3103<br>1788<br>1182<br>133<br>790<br>27|10055<br>8623<br>1433<br>2079<br>1006<br>730<br>343<br> 1201<br>839<br>362<br> 5811<br>2840<br>2570<br>401<br>922<br>43|11652<br>10200<br>1452<br>2784<br>1399<br> <br>978<br>408<br>1285<br> <br>916<br>369<br>6596<br>3013<br>3076<br>S07<br>941<br>45|12186<br>10715<br> <br>1471<br>3028<br>1498<br>1105<br>425<br>1311<br>938<br>373<br>6846<br>3086<br>3232<br>528<br> <br>955<br>46|2.3<br> <br>2.6<br> <br>1.2<br>4.8<br> <br>5.5<br> <br>5.1<br>3.0<br> <br>1.8<br>2.1<br> <br>1.3<br>2.2<br>1.7<br>2.7<br> <br>4.0<br> <br>1.2<br>1.7|1.4<br>2059<br>1.5<br>2040<br>1.1<br>(b)<br>1.5<br>2017<br>1.5<br>2015<br>1.5<br>2016<br>1.6<br>2029<br>1.4<br>(b)<br>1.5<br>2067<br>1.1<br>(b)<br>1.4<br>2068<br>1.4<br>(b)<br>1.5<br>2040<br>1.6<br>2019<br>1.1<br>(b)<br>1.3<br>(b)|2060<br>2060<br>2030<br>2055<br>2055<br>2055<br>2050<br>2035<br>2035<br>2030<br>2060<br>2040<br>2060<br>2055<br>2030<br>2035|

a. 'Nore d tloped comprises Europe, the former U.S.S.R., Northern America (the United States and Canade), Australia, New Zealand, _wnd_ Japen. "Less d teloped comprises the rest of the world.

b. Population will not double with projected rates.
**xKvill** INTRODUCTnON

**Table 6.** _Population and Percentage Distibution by World Bank Region, County_ **_Department_** _and Income Group, 1985-2100_

|||Pop|ilati|on<br>(mil|lion|s)|Pe|rcent|age<br>of|world|popul|ation|
|---|---|---|---|---|---|---|---|---|---|---|---|---|
|Region<br>and|||||||||||||
|<br>Country Department|1985|1990|2000|2025|2050|2100|1985|1990|2000|2025|2050|2100|
|Africa Region|440|<br>512|<br>687<br>|1254<br> <br>|1810<br> <br>|2472<br> <br>|9.1<br>|9.7<br>|11.1<br>|15.0<br>|18.0<br> <br>|21.2<br> <br>|
|1 OccidentalardCentral|38|<br>45|<br>60|<br>110|<br>156|<br>208|0.8|0.8|1.0|1.3|<br>1.5|<br>1.8|
|2 Eastern<br>ShCl d|107|<br>126|<br>173|<br>340|<br>515|<br>733|2.2|2.4|2.8|4.1|5.1|6.3|
|3 out-entra an<br>Indian Ocean|62<br>|<br>73<br>|<br>98<br>|<br>181<br>|<br>260<br>|<br>356<br> <br>|1.3<br>|1.4<br>|1.6<br>|2.2<br>|2.6<br>|3.1<br>|
|4Western|103<br>|119<br> <br>|158<br> <br>|268<br> <br>|362<br> <br>|<br>465<br> <br>|2.1<br>|2.3<br>|2.6<br>|3.2<br>|3.6<br>|4.0<br> <br>|
|5Sahelian|36|<br>41|<br>56|<br>111|<br>171|<br>248|0.7<br>|0.8<br>|0.9<br>|1.3<br>|1.7<br>|<br>2.1<br>|
|6 Southern|94|108|142|244|344|461|1.9|2.1|2.3|2.9|3.4|4.0|
|East Asia and Pacific<br>Region|1488|1619|1868|2366|2669|2847|30.8|30.7|30.3|28.3|26.5|24.4|
|<br>1 Southeast|270|299|356|480|567|622|5.6|5.7|5.8|5.7|5.6|5.3|
|2China and Mongolia|1050|1136|1296|1601|1769|1860|21.8|21.6|21.0|19.2|17.6|16.0|
|<br>3Indonesia nd Pacific|168|<br>184|<br>216|<br>285|<br>333|<br>364|3.5|3.5|3.5|3.4|3.3|3.1|
|South Asia Region|1009|1126|1353|1879|2281|2616|20.9|21.4|21.9|22.5|22.7|22.4|
|<br>1 Other South<br>|113<br>|<br>127<br> <br>|<br>154<br>|<br>215<br>|<br>261<br>|<br>302<br>|2.3<br>|2.4<br>|2.5<br>|2.6<br>|2.6<br>|2.6<br>|
|2India|765|<br>850|1006|1348|1599|1790|15.8|16.1|16.3|16.1|15.9|15.4|
|3Southwest|130|<br>150|<br>193|<br>316|<br>421|<br>523|2.7|2.8|3.1|3.8|4.2|4.5|
|Middle East and North Africa Region|207|<br>240|<br>319|<br>567|<br>834|1144|4.3|4.6|5.2|6.8|8.3|9.8|
|<br>1 North Africa|<br>55|<br>63|<br>82|<br>127|<br>165|<br>195|1.1|1.2|1.3|1.5<br>|1.6<br>|1.7<br>|
|2 Middle East|152|<br>177|<br>238|<br>440|<br>669|<br>948|3.1|3.4|3.9|5.3|6.7|8.1|
|Europe and Central Asia Region|453|473|<br>510|<br>596|<br>654|<br>694|9.4|9.0|8.3|7.1|6.5|6.0|
|<br>*Southern Europe|93|99|<br>112|<br>138|<br>157|<br>168|1.9|1.9|1.8|1.7|1.6|1.4|
|2 Other Europe<br>|83<br>|85<br>|88<br> <br>|<br>97<br> <br>|102<br> <br>|<br>107<br> <br>|1.7<br>|1.6<br>|1.4<br>|1.2<br>|1.0<br>|0.9<br>|
|3C.i.S. and Baltic Republics|278|289|<br>310|<br>361|<br>395|<br>419|5.8|5.5|5.0|4.3|3.9|3.6|
|LAC Region|388|429|<br>511|<br>694|<br>823|<br>900|8.0|8.1|8.3|8.3|8.2|7.7|
|<br>1 Brazil,<br>Peru, and Venezuela|172|<br>192|<br>229|<br>308|<br>360|<br>391|3.6|3.6|3.7|3.7|3.6|3.4|
|<br> <br>2CentraL America|104|<br>115|<br>140|<br>199|<br>242|<br>267|2.1|2.2|2.3|2.4|2.4|2.3|
|3 Caribbean and other|54|59|70|94|112|<br>124|1.1|1.1|1.1|1.1|1.1|1.1|
|4 Temperate|58|<br>63|<br>72|<br>94|109|<br>118|1.2|1.2|1.2|1.1|1.1|1.0|
|Income<br>group|||||||||||||
|Low|2743|3039|3642|5107|6268|7358|56.8|57.7|59.1|61.2|62.3|63.2|
|Lower-middle|520|576|<br>695|999|1249|1462|10.8|10.9|11.3|12.0|12.4|12.5|
|Upper-middle<br>|454<br>|503<br>|<br>607<br>|890<br>|1155<br>|1432<br>|9.4<br>|9.5<br>|9.8<br>|10.7<br>|11.5<br>|12.3<br>|
|High|796|822|869|936|930|921|16.5|15.6|14.1|11.2|9.3|7.9|
|<br>Nonreporting nonmenber|314|328|354|414|452|479|6.5|6.2|5.7|5.0|4.5|4.1|

Note: Country Department names are suggestive of countries included, but not always exact. World Bank regions **and** country departments are defined in Box 2. Income groups are defined in Box 1.
INTRODUCTION Xxix Table 7. _Annual Population Increase and Growth Rate by World Bank Region, County Departnment; and Income Group, 1985-2100_

|||Po|pulat|ion<br>tmi|llion|s)|A|verag|e awnu|al<br>gro|wth ra|te|
|---|---|---|---|---|---|---|---|---|---|---|---|---|
|Region<br>**and**<br>Country<br>Department|198<br>199|5-<br>199<br>0 199|0-<br>2000<br>5 2005|-<br>202<br>205|5-<br>2050<br>0 2075|-<br>2075-<br>2100|1985<br> <br>1990|-<br>199<br> 1995|0-<br>2000<br> 2005|-<br>202<br>205|5-<br>205<br>0 207|0-<br>2075-<br>5 2100|
|Africa Region<br>|14.3<br>|16.5<br> <br>|20.6<br> <br>|22.<br> <br>|2 17.<br> <br>|2 9.3<br> <br>|3.02<br>|2.98<br>|2.79<br>|1.4<br>|7 0.8<br>|5 0.39<br>|
|1 Occidental and CentraL<br>|1.3<br>|<br>1.5<br>|<br>1.9<br>|<br>1.8<br> <br>|<br>1.4<br>|<br>0.7<br>|3.23<br>|3.06<br>|2.87<br>|1.39<br>|0.81<br>|0.34<br>|
|2 Eastern<br>3 South-Central and|3.7|4.4|5.7|<br>7.0|5.6|3.1|3.16|3.20|3.05|1.67|0.96|0.45|
|<br>Indian Ocean<br>|2.1<br>|<br>2.4<br>|<br>3.0<br>|3.2<br>|2.5<br>|1.4<br>|3.12<br>|3.09<br>|2.84<br>|1.46<br>|0.86<br>|0.40<br>|
|4 Wstern<br>|3.2<br>|3.7<br> <br>|5.4<br> <br>|3.8<br> <br>|2.7<br>|1.4<br>|2.93<br>|2.88<br>|2.60<br>|1.21<br>|0.69<br>|0.31<br>|
|5 Sahelian<br>|1.1|<br>1.3|<br>1.8|<br>2.4|1.9|1.1|2.79|2.88|3.07|1.75|1.00|0.49|
|6 Southern|2.9|<br>3.2|3.8|4.0|3.1|1.6|2.88|2.77|2.52|1.37|0.81|0.36|
|East Asia and Pacific Region<br>|26.1<br>|26.0<br>|21.5<br>|12.1<br>|4.7<br>|2.4<br>|1.70<br>|1.56<br>|1.13<br>|0.48<br>|0.17<br>|0.09<br>|
|<br>1 Southeast<br>|5.7<br>|5.8<br>|5.3<br>|3.5<br>|1.5<br>|0.7<br>|2.06<br>|1.89<br>|1.47<br>|0.67<br>|0.26<br>|0.11<br>|
|2 China andNongolia<br>|17.2<br>|16.9<br>|13.3<br>|6.7<br>|2.3<br>|1.3<br>|1.57<br>|1.4<br>|1.00<br>|0.40<br>|0.13<br>|0.07<br>|
|<br>3 Indonesia and Pacific|3.2|3.3|2.9|1.9|0.8|0.4|1.80|1.70|1.32|0.62|0.24|0.12|
|South**Asia**Region.|23.5|23.0|22.5|16.1|8.8|4.6|2.21<br>|1.95<br>|1.59<br>|0.77<br>|0.37<br>|0.18<br>|
|<br>IOther<br>South<br>|2.7<br>|2.7<br>|2.7<br>|1.8<br>|1.0<br>|0.6<br>|2.26<br>|2.05<br>|1.69<br>|0.77<br>|0.37<br>|0.22<br>|
|2 India|16.9|16.1|15.0|10.0|5.1|2.6|2.09<br>|1.81<br>|1.44<br>|0.68<br>|0.31<br>|0.15<br>|
|3 Southwest|3.9|4.2|4.7|4.2|2.7|1.4|2.82|2.64|2.30|1.14|0.60|0.27|
|Middle East and North Africa Reg|ion 6.7|7.6|8.8|10.7|8.0|4.4|3.00|2.94|2.59|1.55|0.86|0.41|
|<br>1North<br>Africa<br>|<br>1.6|1.8|1.9|1.5|0.9|0.3|2.64|2.69|2.17|1.05|0.50|0.18|
|2Middle<br>East|5.1|5.8|7.0|9.2|7.1|4.1|3.13|3.03|2.73|1.6|8 0.9|4 0.45|
|Europe and Central Asia Region<br>|4.0|3.7|3.8|2.3|1.1|0.5|0.86<br>|0.76<br>|0.72<br>|0.37<br>|0.16<br>|0.07<br>|
|<br>1 Southern Europe<br>|1.3<br>|1.3<br>|1.2<br>|0.7<br>|0.3<br>|0.1<br>|1.33<br>|1.26<br>|1.03<br>|0.50<br>|0.19<br>|0.08<br>|
|<br>2 Other Europe|0.4|0.3|0.4|0.2|0.1|0.1|0.45|0.36|0.44|0.22|0.10|0.07|
|<br>3C.I.S. and Baltic Republics|2.3|2.1|2.2|1.3|0.7|0.3|0.83|0.71|0.69|0.36|0.17|0.07|
|LAC Region|8.1|8.4|7.6|5.1|2.2|0.9|1.99|1.86|1.43|0.68|0.26|0.10|
|<br>I Brazil, Peru, and Venezuela<br>|<br>3.9<br>|3.9<br>|3.3<br>|2.1<br>|0.9<br>|0.4<br>|2.15<br>|1.92<br>|1.39<br>|0.63<br>|0.24<br>|0.10<br>|
|2Central America<br>|2.2<br>|2.5<br>|2.4<br>|1.7<br>|0.7<br>|0.3<br>|2.05<br>|2.08<br>|1.64<br>|0.79<br>|0.29<br>|0.10<br>|
|3 Caribbean and other<br>|1.0<br>|1.1<br>|1.0<br>|0.7<br>|0.3<br>|0.2<br>|1.85<br>|1.73<br>|1.40<br>|0.69<br>|0.28<br>|0.13<br>|
|4Temperate|1.0|0.9|0.9|0.6|0.3|0.1|1.58|1.43|1.18|0.60|0.24|0.09|
|Incomegroup|||||||||||||
|Low|59.2|60.7|59.5|46.4|28.3|15.2|2.05|1.90|1.57|0.82|0.43|0.21|
|Lower-middle|11.2|11.8|12.3|10.0|5.8|2.7|2.04|1.95|1.70|0.89|0.44|0.19|
|Upper-middle<br>|9.7<br>|10.1<br>|10.6<br>|10.6<br>|7.1<br>|4.0<br>|2.04<br>|1.96<br>|1.67<br>|1.05<br>|0.57<br>|0.29<br>|
|High<br>|5.2<br>|5.1<br>|3.8<br>|-0.2<br>|-0.5<br>|0.2<br>|0.64<br>|0.61<br>|0.44<br>|-0.02<br>|-0.06<br>|0.02<br>|
|<br>Nonreporting nonmember|2.8|2.6|2.6|1.5|0.7|0.3|0.87|0.77|0.73|0.35|0.16|0.07|

Note: World Bank regions nd country departments are defined in Box 2. Income groups are defined in Box 1.
_x_ x 0 a **0 z0** Table _S. Fertility and Mortality Rates by World Bank Region, Country Department, and Income Group, 1985-90, 2000( 05, and 2025-30_

|||1990|-95||||2000|-05||||2025-30|||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|Region<br>and|||||||||||||||
|Country<br>Department|COR|TFR|CDR|e(O)|INR|CBR|TFR|CMR|e(O)|INR|CBR|TFR CDR|e(O)|IMR|
|Africa Region|44.6|6.23|14.8|51.8|104|40.6|5.52|12.8|54.1|84|26.0|3.03 8.2|62.5|53|
|1 Occidental<br>and Central|43.7|6.26|13.9|53.2|100|40.6|5.53|12.2|54.8|79|24.9|2.87 7.7|63.6|47|
|2 Eastern<br> <br>|47.7|6.90|15.6|51.0|109|43.9|6.21|13.3|53.0|89|29.1|3.48 8.1|61.8|57|
|3 South-Central<br>and<br>Indian<br>Ocean<br>|46.4|6.50|15.5|50.4|104|41.8|5.80|13.4|52.4|82|26.3|3.05 8.4|61.4|51|
|4 Western<br>|42.6|5.91|13.9|52.3|95|37.2|4.84|11.3|55.9|73|21.3|2.39 7.8|64.1|45|
|5 Sahelian|47.3|6.68|17.7|47.8|125|46.2|6.54|15.1|50.8|104|30.7|3.67 8.9|59.8|65|
|6 Southern|41.5|5.56|13.8|54.1|99|38.0|5.05|12.8|55.2|85|25.6|3.04 8.6|62.9|54|
|East Asia and Pacific<br>Region|22.6|2.57|6.9|68.9|33|17.|8 2.22|6.5|71.9|22|14.3|2.09 7.3|77.9|<br>7|
|<br>1 Southeast|26.1|3.08|7.2|66.0|41|20.9|2.49|6.2|69.5|27|15.5|2.11 6.5|76.1|11|
|2 China and Mongolia|21.1|2.38|6.6|70.6|27|16.|5 2.11|6.4|73.3|18|13.8|2.08 7.5|78.9|5|
|3 Indonesi**a**nd Pacific|25.3|2.97|8.3|62.9|55|20.2|2.31|6.9|67.9|34|15.3|2.10 7.1|75.1|11|
|South Asia Region|30.5|4.03|10.8|58.4|93|25.1|3.15|9.0|62.3|72|17.4|2.22 7.7|70.4|31|
|<br>1 Other South|34.0|4.46|13.4|52.2|104|28.1|3.32|11.1|55.9|81|18.3|2.26 8.6|65.6|46|
|2 India|<br>28.4|<br>3.74|<br>10.2|<br>59.8|<br>88|<br>22.9|<br>2.88|<br>8.5|<br>63.9|<br>65|<br>16.3|<br>2.12 7.7|<br>71.9|<br>22|
|3 Southwest|<br>39.0|<br>5.33|<br>12.3|<br>56.1|<br>107|<br>33.5|<br>4.48|<br>10.3|<br>59.0|<br>91|<br>21.2|<br>2.58 7.3|<br>67.3|<br>48|
|Middle East and No.Africa<br>Regio|n<br>37.9|5.20|8.5|63.1|69|32.4|4.34|6.6|67.1|51|23.5|2.94 4.9|74.2|16|
|1 North Africa|34.6|4.49|7.6|64.8|61|27.5|3.39|5.7|68.9|42|18.4|2.26 5.0|75.8|10|
|2 Niddle<br>East|39.1|5.47|8.8|62.5|72|34.1|4.69|6.9|66.4|54|24.9|3.13 4.9|73.8|17|
|Europe<br>and Centrat<br>Asia Region|17.6|2.44|9.3|71.5|27|16.|0 2.23|8.7|74.4|18|13.6|2.07 8.7|79.4|5|
|1 Southern<br>Europe|21.7|2.77|8.6|69.3|46|18.|2 2.35|7.8|72.2|31|14.5|2.08 7.7|77.9|6|
|2 Other Europe|14.9|2.09|10.2|71.8|17|14.|6 2.07|9.7|74.0|12|13.0|2.08 9.8|79.4|5|
|3 C.I.S. and Baltic<br>Repubtli|cs<br>17.0|2.42|9.3|72.2|20|15.|6 2.23|8.7|75.3|14|13.5|2.07 8.7|80.0|<br>5|
|LAC Region|26.2|3.15|6.6|68.2|47|20.|5 2.43|5.7|71.4|33|15.2|2.09 6.3|77.4|8|
|<br>1 Brazit,<br>Peru, and Venezuel<br> <br>|<br>a 26.0|<br>3.12|<br>6.8|<br>67.1|<br>53|<br>19.|<br>7 2.34|<br>5.7|<br>71.0|<br>36|<br>14.9|<br>2.08 6.6|<br>77.3|<br>8|
|2 Central<br>America<br>|28.6<br>|3.40|5.6|69.3|41|22.|3 2.56|4.8|72.3|28|15.6|2.08 5.4|78.1|6|
|3Caribbean and other|26.4|3.07|7.0|66.7|54|21.|7 2.52|6.5|69.0|41|15.7|2.14 6.7|75.4|15|
|4Temperate|22.1|2.87|7.5|70.9|30|18.|8 2.38|6.9|73.2|21|14.7|2.09<br>7.0|78.7|6|
|Income<br>group|||||||||||||||
|Low|29.0|3.59|9.8|62.1|75|24.|5 3.10|8.7|64.9|61|18.2|2.40 7.7|71.4|31|
|Lower-middle<br>|28.2|<br>3.57|<br>8.2|<br>65.8|<br>53|<br>24.|<br>4 3.03|<br>7.2|<br>68.5|<br>40|<br>17.8|<br>2.32 6.5|<br>74.6|<br>19|
|Upper-middle<br>|27.3|3.41|7.3|68.1|53|23.|1 2.91|6.2|71.2|39|18.7|2.55<br>6.1|76.9|10|
|High|13.4|1.79|8.7|77.2|8|12.|2 1.85|8.5|79.3|6|11.6|2.05<br>10.|482.6|3|
|Nonreportingnonummber|17.3|2.37|8.9|72.3|20|15.|7 2.20|8.3|75.4|14|13.5|2.07 8.6|80.1|<br>5|
INTRODUCTION XXXi Table 9. _Long-run and Stationary Population, Momentum; Doubling Year, and Year when Net Reproduction reaches I by World Bank Region, County Department, and Income Group_

||Pop|ulatio|n<br>(milli|ons)|Station<br>populat|ary<br>ion|Year<br>when||
|---|---|---|---|---|---|---|---|---|
||1990|2050|<br>2100|Statio<br>nary|over<br>- 1990<br>popula|Populatio<br>tion<br>momentu|popula<br>n<br>tion<br>n doubtl|-<br>es<br>NRRu1|
|Africa Region|512|1810|2472|2634|<br>5.1|1.5|2016|2055|
|1 Occidental<br>and Central|45|<br>156|<br>208|<br>219|<br>4.9|1.6|2015|2045|
|2 Eastern|126|<br>515|<br>733|<br>781|<br>6.2|1.6|2013|2050|
|3 South-Central<br>and|||||||||
|Indian<br>Ocean|73|<br>260|<br>356|<br>379|<br>5.2|1.5|2015|2055|
|4 Western|119|<br>362|<br>465|<br>499|<br>4.2|1.5|2017|2045|
|5 Sahelian|41|<br>171|<br>248|<br>268|<br>6.5|1.5|2013|2055|
|6 Southern|108|<br>344|<br>461|<br>488|4.5|1.5|2018|2050|
|East Asia and Pacific<br>Region|1619|2669|2847|2911|<br>1.8|1.5|(a)|2040|
|1 Southeast<br>|299<br>|<br>567<br>|<br>622<br>|<br>645<br> <br>|<br>2.3<br>|1.5|2067|2040<br>|
|2 China and Mongolia|1136|1769|1860|<br>1892|1.7|1.4|(a)|2015|
|3Indonesi**a**nd Pacific|184|<br>333|<br>364|<br>375|<br>2.0|1.5|2110|2035|
|South Asia Region|1126|2281|2616|2726|<br>2.4|1.4|2048|2050|
|<br>1 Other South|127|<br>261|<br>302|<br>319|<br>2.5|1.5|2045|2030|
|2 India|850|1599|1790|1855|<br>2.2|1.4|2067|2015|
|3Southwest|150|<br>421|<br>523|<br>553|<br>3.7|1.5|2022|2050|
|Middle East and No.Africa Region|240|834|1144|1199|5.0|1.6|2017|2060|
|<br>1 North Africa|<br>63|<br>165|<br>195|<br>201|<br>3.2|1.6|2025|2050|
|2 Middle<br>East|177|<br>669|<br>948|<br>998|<br>5.6|1.6|2016|2060|
|Europe and Central<br>Asia Region|473|<br>654|<br>694|<br>706|<br>1.5|1.2|(a)|2030|
|1 Southern Europe|99|157|168|171|1.7|1.3|(a)|2030|
|<br>2 Other Europe<br>|85|<br>102|<br>107|<br>108|<br>1.3|1.1|(a)|2030|
|3C.I.S.<br>and Baltic<br>Republic|s 289|<br>395|<br>419|<br>426|<br>1.5|1.2|(a)|2030|
|LAC Region|429|<br>823|<br>900|<br>919|<br>2.1|1.6|2062|2030|
|<br>1 Brazil,<br>Peru, and Venezuel|a 192|<br>360|<br>391|<br>399|<br>2.1|1.5|2081|2010|
|2 Central<br>America|115|<br>242|<br>267|<br>272|<br>2.4|1.7|2041|2025|
|3 Caribbean<br>and other|59|<br>112|<br>124|<br>128|<br>2.2|1.6|2064|2030|
|4 Temperate|63|109|<br>118|<br>120|<br>1.9|1.4|(a)|2030|
|Income group|||||||||
|<br>Low|3039|6268|7358|7765|2.6|1.4|2044|2055|
|Lower-middle|576|1249|1462|1510|<br>2.6|1.6|2039|2055|
|Upper-middle|503|1155|1433|1496|<br>3.0|1.4|2036|2060|
|High|822|<br>930|<br>921|<br>929|<br>1.1|1.1|(a)|2030|
|<br>Monreporting<br>nonmember|328|<br>452|<br>479|<br>486|<br>1.5|1.2|(a)|2030|

Note: World Bank regions and country departments are defined in Box 2. Income groups are defined in Box 1. a. Population will not double with projected rates.
**XXXii** INTRODUCTION

Table 10. _Estimates and Projections of Total Population for All Countries and Economies, 1985-2025 (thousands)_

|**Country,**<br>economy,<br>or region|<br>1985|<br>1990|<br>1995|<br>2000|<br>2005|<br>2010|<br>2015|<br>2020|<br>2025|
|---|---|---|---|---|---|---|---|---|---|
|**World**|482721|2 526783|1 572065|1 616790|7 661198|5 704945|8 748392|2 791868|2 8345351|
|Africa|541962|627000|723683|831304|948632|107227|8 120025|7 133233|5 1466678|
|East Africa|233001|27189|0 316564|367230|423099|483136|54716|3 61431|7 683620|
|Botswana<br>|1070<br>|<br>1254<br> <br>|<br>1438<br> <br>|<br>1609<br> <br>|<br>1790<br> <br>|<br>1972<br> <br>|<br>2142<br>|<br>2303<br>|<br>2461<br>|
|Burundi|4696|<br>5427|<br>6350|<br>7395|<br>8526|<br>9747|1109|1254|4 14051|
|<br>**Comoros**|<br>395|<br> <br> <br>475|<br> <br> <br>564|<br> <br> <br>664|<br> <br> <br>775|<br> <br> <br>898|<br> <br>1029|<br> <br>1163|<br> <br>1293|
|Djibouti|354|<br>427|<br>500|<br>583|<br>674|769|868|967|<br>1061|
|<br>Ethiopia|43350|51180|60334|<br>71476|84649|99648|11662|9 13552|3 155953|
|<br>Kenya|20241|24160|28753|33962|39692|45799|52064|<br>5823|9 64336|
|Lesotho|1545|<br>1768|<br>2023|<br>2289|<br>2569|<br>2852|<br>3133|<br>3398|<br>3635|
|Madagascar|9985|<br>11673|13490|15410|17443|19565|21700|<br>2378|1 25716|
|<br>MaLawi|7188|<br>8507|<br>10055|11849|13837|16045|1851|8 2126|3<br>24233|
|Mauritius<br>|1020<br>|<br>1074<br>|<br>1121<br>|<br>1171<br>|<br>1224<br>|<br>1276<br>|<br>1322<br>|<br>1362<br>|<br>1397<br>|
|Mozambique<br>Namibia|13791<br>1518|15707<br> <br>1780|18140<br> <br>2069|21160<br> <br>2384|24691<br> <br>2722|28454<br> <br>3073|32513<br> <br>3418|3690<br> <br>3759|6 41562<br> <br>4080|
|Reunion|547|<br>593|<br>640|<br>685|<br>729|<br>771|<br>811|<br>849|<br>885|
|Rwanda|6102|<br>7118|<br>8663|<br>10436|12343|14451|<br>1684|6 1956|7 22558|
|Seychettes|65|<br>68|<br>71|<br>**75**|79|83|88|<br>92|<br>97|
|Somatia<br>|6686<br>|<br>7805<br>|<br>9058<br>|<br>10587<br>|12365<br>|14292<br>|16367<br>|<br>1857<br>|1 20849<br>|
|South Africa|31569|35919|40336|44787|49153|53391|57465|6118|64765|
|SwaziLand|664|<br>797|<br>947|<br>1115|<br>1305|<br>1511|<br>1726|<br>1938|<br>2144|
|Tanzania|21161|24517|28519|33318|38711|44435|<br>50523|5699|63746|
|<br>Uganda|<br>14134|<br>16330|<br>19248|<br>22533|<br>25869|<br>29454|<br> <br> <br>33314|<br>3741|<br>6 41615|
|Zaire|31700|37320|43454|<br>50191|57596|65389|<br>73429|81408|<br>89205|
|Zambia|6753|<br>8111|<br>9510|<br>11001|12578|14283|16094|1794|<br>19763|
|<br>Zimbabwe|<br>8406|<br> <br> <br>9805|<br> <br> <br>11194|<br> <br>12448|<br>13660|<br>14840|<br>15914|<br>1696|<br><br>4<br>18016|
|Other East Africa|61|<br>73|<br>87|<br>102|<br>120|<br>139|<br>159|<br>180|<br>200|
|West Africa|185408|214927|248674|287080|329757|374622|420334|46764|1 515197|
|North Africa|123553|140182|158445|176994|195776|214519|232760|25037|7 267861|
|ALgeria|21848|25056|28995|33135|**37227**|41209|44959|48411|<br>51815|
|Egypt,<br>Arab Rep. of|46511|52061|57396|62395|67418|72331|76895|81322|85640|
|Libya|3786|<br>4546|<br>5450|<br>6492|<br>7693|<br>9052|<br>10570|1223|6 14026|
|<br>Morocco|22061|25091|28461|31823|35046|38209|41265|44129|46938|
|Sudan<br>|21931<br>|25188<br> <br>|29027<br> <br>|33141<br> <br>|37537<br> <br>|42086<br>|<br>46673<br>|51095<br>|<br>55488<br> <br>|
|Tunisia|7261|<br>8060|<br>8910|<br>9771|<br>10585|11325|12053|12795|<br>13523|
|Other North Africa|155|<br>179|<br>207|<br>237|<br>270|<br>307|<br>347|<br>389|<br>431|
|America|667381|720914|776830|829875|879231|926593|973651|101927|4 1061325|
|Latin America<br>and Caribbean|399445|440766|483233|524032|562470|600038|637907|674790|709350|
|Antigua<br>and Barbuda|76|<br>79|<br>84|<br>90|<br>97|<br>104|<br>109|<br>114|<br>119|
|<br>Argentina|30331|32293|34096|35820|37464|39095|40728|42296|<br>43765|
|Bahamas<br>The|232|<br>255|<br>278|<br>303|<br>327|<br>347|<br>365|<br>381|<br>397|
|,<br> <br>Barbados|<br>253|<br> <br>257|<br> <br>263|<br> <br>270|<br> <br>276|<br> <br>281|<br> <br>286|<br> <br>292|<br><br>298|
|Belize|166|188|215|245|275|<br>303|<br>329|<br>354|379|
|Bolivia<br>|6342<br>|<br>7171<br>|<br>8144<br>|<br>9145<br>|<br>10151<br>|11133<br>|<br>12053<br>|12888<br>|13713<br>|
|Brazil<br>hi|135564<br>12121|150368<br>13173|164880<br>14137|178267<br> <br>14973|190425<br>15763|202340<br>16570|214473<br>17383|22621<br> <br>1816|236961<br>18867|
|CLe<br>**Colombia**|<br>29481|<br>32345|<br>35074|<br> <br>37622|<br>40186|<br>42820|<br>45391|<br> <br>47794|<br>49982|
|<br>Costa Rica|<br>2489|<br> <br>2807|<br> <br>3106|<br> <br>3377|<br> <br>3623|<br> <br>3867|<br> <br>4117|<br> <br>4360|<br> <br>4583|
|Cuba<br>Dominica|10098<br>74|10617<br> <br>72|11099<br> <br>74|11615<br> <br>79|12064<br> <br>85|12449<br> <br>91|12800<br> <br>97|13142<br> <br>102|<br>13461<br> <br>108|
|<br>Dominican<br>Rep.|<br>6416|<br> <br> <br>7074|<br> <br> <br>7709|<br> <br> <br>8293|<br> <br> <br>8826|<br> <br> <br>9355|<br> <br> <br>9899|<br> <br> <br>10437|<br><br> <br>10947|
INTRODUCTION xxxiii Table 10. _Total Population_ (continued)

|Country,<br>economy,<br>orregion|1985|1990|1995|2000|2005|<br>2010|<br>2015|<br>2020|<br>2025|
|---|---|---|---|---|---|---|---|---|---|
|Ecuador|9205|10284|11425|12577|13674|<br>14670|<br>1564|216621|<br>17570|
|EL Satvador<br>|4767<br>|5213<br>|5703<br>|6247<br>|6816<br>|7356<br>|<br>7846<br> <br>|<br>8345<br>|<br>8883|
|Grenada<br>|94<br>|91<br>|89<br>|93<br>|99<br>|106<br>|<br>113|<br>120|<br>127|
|Guadeloupe<br>|348<br>|387<br>|403<br>|417|431|<br>447|466|<br>486|<br>504|
|Guatemata<br>|7963<br>|9197<br>|10622|12148|13757|<br>15367|16959|<br>18483|<br>19889|
|Guyana<br>|790<br>|798<br>|818<br> <br>|<br>837<br>|863<br>|901<br>|<br>951<br>|1000<br> <br>|<br>1045<br> <br>|
|Haiti<br>|5889<br>|6472<br>|<br>7156<br>|7830<br>|8482|9164<br>|9876<br>|<br>10603<br>|<br>11337|
|Honduras<br>|4383<br>|5105<br>|5921<br>|6802<br>|7722|<br>8633|9530|<br>10385|<br>11172|
|Jamaica<br>|2311<br>|2420<br>|2520<br>|2591<br>|2667<br>|2756<br>|286V|<br>2974|<br>3095|
|Martinique<br>|341<br>|360<br>|380<br>|399<br>|414<br>|427<br> <br>|440<br> <br>|453<br> <br>|466<br>|
|Mexico|78524|86154|94820|103273|110986|<br>118576|<br>126470|<br>134235|<br>141586|
|Montserrat<br> <br>|12<br>|12<br>|12<br>|12<br>|12|13|14|<br>14|<br>15|
|Netherlands<br>Antilles<br>|182<br>|189<br>|201<br>|215<br>|228<br>|240<br>|250|<br>260|269|
|Nicaragua<br>|3272<br>|3853<br>|4505<br>|5198<br>|5922<br>|6643<br>|7361<br>|<br>8049|<br>8680|
|Panama<br>|2180<br>|2418<br>|2634<br>|2826<br>|3012<br>|3205|3396|3578|<br>3745|
|Paraguay<br>|3693<br>|4314<br>|4989<br>|5694<br>|6432<br>|7215|<br>8041|8843|9588|
|Peru<br>|19383<br>|21663<br>|24126<br>|26526<br>|28774<br>|30770|32728|34726|36675|
|St. Kitts and Nevis<br>|43<br>|40<br>|37<br>|35<br>|34<br>|34<br>|35|37|39|
|St. Lucia<br> <br>|137<br>|150<br>|162<br>|176<br>|190<br>|202<br>|215<br>|<br>228<br>|241<br>|
|St. Vincent<br>and the Grenadin|es102|107|114|121|129|138|146|154|162|
|Suriname<br> <br>|398<br>|447<br>|498<br>|545<br>|587|627|667|<br>710|751|
|Trinidad<br>and Tobago<br>|1160<br>|1236<br> <br>|1301<br> <br>|1364<br>|1428<br>|1499<br>|1576<br>|1653<br>|1725|
|Uruguay<br>|3008<br>|<br>3094<br>|<br>3177<br>|3274<br>|3390|3501|3603|3697|3788|
|Venezueta<br> <br>|17317<br>|19738|22108<br>|24358|26456|28367|30241|32124|33929|
|Virgin**Islands**<br>(U.S.)<br>|107<br>|110<br>|<br>116<br>|123<br> <br>|132<br>|140<br>|147<br>|153<br>|159<br>|
|Other Latin America|194|214|234|<br>253|270|287|302|316|329|
|Northern<br>America|267936|280148|293597|305843|316761|326556|335745|344484|351975|
|Canada<br>|25165<br>|26522<br>|27897<br>|29158<br>|30254<br>|31189<br>|32003<br>|32738|33351|
|Puerto Rico|3377|3530|3650|3761|3859|3937|4001|4072|<br>4151|
|United States<br>of America<br> <br>|239279|249975<br>|261923<br>|272793|282513|291291|299600|<br>307530|<br><br>314329|
|Other Northern<br>America|115|<br>121|126|131|135|138|141|143|144|
|Asia|2822403|3102850|3384237|3652741|3912291|4162905|4408344|4653070|4891874|
|East and Southeast<br>Asia<br>|1651813<br>|1787967<br>|1922961<br>|2046631<br>|2158151<br>|2260784<br>|2360899|2459637|2553483|
|Brunei<br>|219<br>|256<br>|297<br>|337<br>|374<br>|406<br>|433<br>|458<br>|483<br>|
|Cambodia<br>Chi i<br>|7486<br>|8469<br>|9467<br>|10254<br>|10927<br>|11605<br>|12290<br>|12997<br>|13671<br>|
|na (excLudng<br>Taiwan)<br>|1047983|1133698|1218135|1293548|1359574|1420311|1480374|1540268|1597165|
|Taiwan,<br>China<br>|19135<br>|20313<br>|21218<br>|22062<br>|22915<br>|23740|24490|25135|25701|
|Hong Kong<br>|5456<br>|5806<br>|6074<br>|6297<br>|6494<br>|6656<br>|6787<br>|6888<br>|6960<br>|
|Indonesia<br>|163036<br>|178232<br>|193824<br>|208935<br>|222951<br>|236338<br>|249575<br>|262433<br>|274628<br>|
|Japan|120754|123519|125710|127591|129215|129996|129823|128954|127740|
|Korea,Oem.<br>Peopte's<br>Rep. of<br> <br>|19888<br>|21576<br>|23496<br>|25363<br>|27073|28581|29981|31351|32669|
|Korea,<br>Rep. of<br>'<br>|40806<br>|42797<br>|44746<br>|46642<br>|48460<br>|50026<br>|51346<br> <br>|52487<br>|53526<br>|
|Lao Peoples<br>Dem. Rep.|3594|4186|4883|5660|6491|7394|<br>8375|9403|10417|
|Macao<br>|392|459|503|535|556|575|594|613|630|
|Malaysia<br>|15682<br>|17857<br>|20134<br>|22340|24429|26429|28300|30151|32001|
|Mongolia|1856|2124|2425|2735|<br>3043|3338|3617|3874|4128|
|<br>Hyanmar|37544|41609|<br>46413|<br>50946|<br> <br>55053|<br> 58609|<br>62148|<br>65892|69640|
|Philippines<br>|54700<br>|61480<br>|67757<br>|73703|79476|84899|90285|95694|100911|
|Singapore<br>|2731<br>|3003<br>|3219<br>|3370<br>|3500<br>|3618|3729<br>|3831|3915|
|Thaitand<br>i**N**|51683<br>|55853<br>|59818<br>|63855<br>|68048<br>|72128<br>|<br>75930<br>|79427<br>|82685<br>|
|Vet**am**|58868|66312|74329|81964|89085|95587|102137|108960|115696|
XXXIV INTRODUCTION Table _10. Total Population_ (continued)

|Country, economy, or region|1985|1990|1995|2000|2005|2010|2015|<br>2020|<br>2025|
|---|---|---|---|---|---|---|---|---|---|
|South Asia<br>Afghanistan<br>Bangiadesh<br>Bhutan<br>|1055231<br>18087<br>95456<br>1286<br>|1182312<br>20445<br> <br>106656<br>1433<br>|1308211<br>23436<br>117577<br>1614<br>|1431722<br>26968<br>127M92<br>1821<br>|1557371<br>31221<br>138586<br>2045<br>|1682379<br>36062<br>148803<br>2268<br>|1803830<br>_41246_<br>157999<br>2492<br>|1925280<br>46822<br> <br>166895<br>2712<br>|2045815<br> <br>52759<br> <br>175624<br> <br>2938<br>|
|India|765147|849515|929921|1006114|1081237|1153367|1219866|1284486|1347589|
|<br>Iran Istamic Rep of|<br>46374|<br>55779|<br>66436|<br>78264|<br>91593|<br>106929|<br>124609|<br> <br>144534|<br> <br>166380|
|, .<br>Matdives|<br>182|<br>214|<br>253|<br>296|<br>342|<br>391|<br>_443_|<br> <br>494|<br><br>546|
|Nepal<br>|16682<br>|18916<br>|21495<br>|24112<br>|26785<br>|29428<br>|31993<br>|34400<br>|<br>36553<br> <br>|
|Pakistan|96180|112351|129496|147290|165623|184166|203241|222099|<br>239764|
|Sri Lanka|15837|17002|17985|18928|19938|20965|21942|22838|<br>23663|
|Southwest Asia|115359|132571|153065|174389|196770|219742|243615|268153|<br>292576|
|Bahrain|425|503|585|663|739|<br>_815_|894|970|1037|
|Cyprus<br>|666<br>|702<br>|731<br>|758<br>|786<br>|814<br>|842|867<br>|888<br>|
|Gaza Strip|517|588|684|789|909|1044|1191|<br>1344|<br>1499|
|<br>Iraq|<br>15898|<br>18914|<br>22410|<br>26373|<br> 30660|<br>35153|<br>39699|<br> <br>_44159_|<br><br>48368|
|<br>Israet<br>|<br>4233|<br>_4659_|<br>5923|<br>6425|<br>6831|<br>7211|<br>7595|<br>7978|<br>8343|
|Jordan (East Bank)|2642|3098|3942|_4615_|5288|5926|6548|7153|<br>7718|
|<br>Kuwait<br>|1712<br>|2143<br>|2235<br>|2520<br>|2782<br>|3007<br>|3190<br>|3357<br> <br>|3501<br>|
|Lebanon|2668|2681|2813|3013|3270|3510|3738|<br>3974|4221|
|**Owan**|1242|1554|1901|2274|2680|3139|3641|4163|4672|
|Qatar<br>|358|439|_510_<br>|581<br>|651<br>|720<br>|787<br>|_851_<br>|909|
|Saudf Arabia|12395|14870|17895|21335|25198|'294Q2|<br>33927|38590|43176|
|Syrian Arab Rep.|10348|12360|14860|17675|20807|<br>;4184|27720|31266|34797|
|<br>Turkey|50306|56098|<br>62027|67704|72901|<br>77507|<br>82016|86610|91065|
|<br>United Arab Emirates<br>|1349|1592|1793|1980|2151|2315|2455|2565|2660|
|West Bank|930|1088|1289|1507|1734|1957|2174|2381|2572|
|Yemen, Rep. of|9670|11282|13465|16177|19383|23027|27197|31925|37152|
|Europe and C.I.S.|769742|790333|808216|825469|842364|857207|<br>870514|882598|893937|
|Atbania|2962|3250|3516|3766|4000|4237|_4475_|4705|4917|
|Armenia|3198|3325|3445|3608|3781|3954|4120|4268|_4404_|
|Austria|7555|7712|7803|7840|7869|7862|7846|7827|7795|
|Abi|6669|7149|7540|7987|8425|8887|9359|9804|10213|
|zerajan||||||||||
|Belarus|9975|10278|10545|10811|11066|11290|11502|11702|11904|
|<br>**Belgium**|<br>9858|<br>9956|<br>10085|<br>10197|<br>10279|<br>10322|<br>10333|<br>10343|10358|
|<br>Butgaria|8941|8823|8724|8661|8649|8636|8632|8631|8647|
|<br>ChanneL IsLands|134|_144_|151|155|157|157|158|159|159|
|Czechoslovakia|15500|15662|15824|16058|16366|16655|16924|17174|17425|
|Croatia|_4657_|4712|4765|4822|4877|4919|4942|4954|4964|
|Dermiark|5114|5140|5187|<br>5228|5250|5257|5257|5260|5261|
|Estonia|1532|1583|1633|1669|1705|1739|<br>1769|1798|1825|
|<br>Finland|<br>4902|<br>4986|<br>5072|<br> <br>5144|<br>5209|<br>5260|<br> <br>5304|<br>5342|5368|
|France|55170|56440|57655|58777|59831|60719|61396|61996|62540|
|Gi|5299|_5462_|5616|5792|5962|6113|6256|638|6521|
|eorga<br>||||||||9||
|Germany|77698|79484|80537|81126|81457|81253|80855|80380|79723|
|<br>Greece|<br>9934|<br>10067|<br>10168|<br>_10246_|<br>10323|<br>10354|<br>10328|<br>10256|10175|
|Hungary|10657|10553|10291|10154|10069|10008|9952|9912|_9881_|
|<br>Iceland<br>|241<br>|255<br>|269<br>|282<br>|295<br>|306<br>|317<br>|327<br> <br>|337<br>|
|IreLand|3540|3503|3498|3528|3561|3633|3722|<br>3824|3923|
|<br>Italy|<br>57141|<br>57663|<br>57943|<br>_57985_|<br>_s7920_|<br>57600|<br>s6960|<br> <br>56199|<br>55436|
|<br>Kazakhstan<br>|15852|16746|17473|18332|19209|20154|21118|22004|22796|
|Kyrgyzstan<br>|3996<br>|4395<br>|4757<br>|5189<br>|5626<br>|6060<br>|6470<br>|6868<br>|7263<br>|
|Latvia|2621|2686|2765|2813|2861|2904|_2944_|2982|3017|
**INTRODUCTION** )OWv

Table 10. _Total Population_ (continued)

|Country, economy, or region|1985|1990|1995|2000|2005|2010|2015|2020|2025|
|---|---|---|---|---|---|---|---|---|---|
|Lithuania|3578|3731|3901|4007|4110|4199|4280|4356<br>|4427<br>|
|Luxembourg|367<br>|378<br>|384<br>|387<br>|388<br>|388<br>|387<br>|387<br>|386<br>|
|Malta|344|354|362|371|380<br>|388<br>|396<br>|403<br>|409<br>|
|**Motdova**<br>|4192<br>|4367<br>|4498<br>|4640<br>|4839<br>|5105<br>|5370<br>|5593<br>|5777<br>|
|Netherlands|14492|14943<br>|15433<br>|15844|16105<br>|16272<br>|16392<br>|16499<br>|16583<br>|
|Norway|4153|4242|4342|4434|4511|4573<br>|4636<br>|4703<br>|4768|
|<br>Potand<br>|37203<br>|38180<br>|38973<br>|39770<br>|40693<br>|41643<br>|42542<br>|43366<br>|44144<br>|
|Portugal|10157<br>|10354<br>|10552<br>|10736<br>|10906<br>|11036<br>|11120<br>|11181<br>|11241<br>|
|Romania<br>|22725<br>|23199<br>|23612<br>|24115<br>|24646<br>|25136<br>|25605<br>|26073<br>|26562<br>|
|RussianFederation<br>|143858<br>|148255<br>|151826<br>|155240<br>|158858<br>|162214<br>|165512<br> <br>|168473<br>|171235<br>|
|Stovenia|1925<br>|1954<br>|1981<br>|2012<br>|2045<br>|2072<br>|<br>2089<br>|2098<br>|2103<br>|
|Spain|38505<br>|38959<br>|39391<br>|39764<br>|40139<br>|40366<br>|40422<br>|40401<br> <br>|40402<br> <br>|
|Sweden|8350<br>|8559<br>|8761<br>|8924<br>|9035<br>|9097<br>|9173<br>|<br>9266<br>|<br>9350<br>|
|Switzerland|6470|6712<br>|6880<br>|7011<br>|7095<br>|7125<br>|7142<br>|7152<br>|7148<br>|
|Tajikistan|4580<br>|5302<br>|6046<br>|6874<br>|7718<br>|8577<br>|9412<br>|10169<br>|10903<br>|
|Turkmenistan<br>|3244<br>|3669<br>|4067<br>|4479<br>|4894<br>|5308<br>|5702<br>|6082<br>|6453<br>|
|United Kingdom|56618|57395|58314|59101|59735<br>|60274<br>|60834<br>|61481<br>|62123<br>|
|<br>Ukraine|50917<br>|51860<br>|52854<br>|53754<br>|54614<br>|55307<br>|55988<br>|56621<br>|57306<br>|
|Uzbekistan|18090<br>|20532<br>|22765<br>|25224<br>|27696<br>|30147<br>|32450<br>|34682<br>|36887<br>|
|Yugoslavia|16567|17142|17730|18321|18908|19391<br>|19805<br>|20179<br>|20543<br>|
|<br>Other Europe|260|271|282|293|303|312|320|328|334|
|Oceania|24629|26735|28919|30979|32876|34556|36041|37348|38581|
|Australia<br>|15758|17085|18399|19587<br>|20635<br>|21503<br>|22202<br>|22760<br>|23250<br>|
|**Fiji**|700<br>|744<br>|782<br>|813<br>|842<br>|874<br>|909<br>|947<br>|984<br>|
|<br>French<br>Polynesia|171<br>|197<br>|225<br>|254<br>|280|301|321|340<br>|360<br>|
|Guam|123<br>|137<br>|149|159<br>|170<br>|**180**<br>|191<br>|<br>200|209<br>|
|Kiribati|64<br>|70<br>|77<br>|84<br>|90<br>|97<br>|103|110<br>|<br>116<br>|
|Micronesia,<br>Fed. States of|91|103<br>|117<br>|132<br>|149<br>|165<br>|180<br>|194<br>|208<br>|
|New Caledonia|152<br>|165<br>|178<br>|190<br>|203<br>|215<br>|226<br>|237<br>|247<br> <br>|
|New Zeatand|3290|3405|3528|3655|3773|3878<br>|3977<br>|4073<br>|<br>4160<br>|
|Papua New Guinea|3460<br>|3915<br>|4429<br>|4937<br>|5429<br>|5905|6362<br>|6788<br>|7222<br>|
|Solomon Islands|274|316|372|432|494|S53|611<br>|667<br>|719|
|Tonga|95|99|105|111|117|124|130<br>|137<br>|146<br>|
|<br>Vanuatu|131<br>|151<br>|177<br>|205<br>|234<br>|263<br>|292<br>|320<br>|348<br>|
|Western<br>Samoa<br>|157<br>|165<br>|178<br>|193<br>|211<br>|231<br>|250<br>|268<br>|286<br>|
|otherMicronesia|85<br>|97<br>|110<br>|122<br>|135<br>|147<br>|157<br>|168<br>|179<br>|
|other PolynesIa|79|85|94|103|114|123|131|140|149|
xOO(VI INTRODUCTION Table _It. Estinates and Projections of Population Growth Rate for AU Countries and Economies, 1985-90 to 2020-25 (percent per year)_

|Country,<br>economy,<br>or region|1985-90|1990-95|1995-00|2000-05|2005-10|2010-15|2015-20|2020-25|
|---|---|---|---|---|---|---|---|---|
|World|1.76|<br>1.66|<br>1.51|<br>1.40|<br>1.29|<br>1.23|<br>1.13|<br>1.05|
|Africa|2.92|<br>2.87|<br>2.77|<br>2.64|<br>2.45|<br>2.25|2.07|<br>1.89|
|East Africa|3.09|<br>3.04|<br>2.97|<br>2.83|<br>2.65|<br>2.49|2.32|<br>2.14|
|Botswana<br>|3.17<br>|<br>2.74<br> <br>|<br>2.25<br> <br>|<br>2.13<br>|<br>1.94<br> <br>|<br>1.65<br> <br>|<br>1.45<br>|<br>1.33<br> <br>|
|Burundi<br>Comoros|2.89<br>3.69|<br>3.14<br> <br>3.43|<br>3.05<br> <br>3.26|2.85<br>3.09|<br>2.68<br>2.95|<br>2.58<br> <br>2.72|2.46<br>2.45|<br>2.27<br> <br>2.12|
|Djibouti<br>|<br>3.75<br>|<br> <br> <br>3.16<br> <br>|<br> <br>3.07|<br>2.90|<br>2.64|<br> <br>2.42|<br>2.16|<br><br> <br>1.86|
|Ethiopia|3.32|<br>3.29|3.39|3.38|3.26|3.15|3.00|<br>2.81|
|<br>Kenya|3.54|<br>3.48|3.33|3.12|2.86|2.56|2.24|<br>1.99|
|Lesotho<br>|2.70<br>|<br>2.69<br> <br>|2.47<br>|2.31<br>|2.09<br>|1.88<br>|1.62<br>|<br>1.35<br> <br>|
|Madagascar|3.12|<br>2.89|2.66|2.48|2.30|2.07|1.83|<br>1.56|
|<br>talawi<br>|3.37<br>|<br>3.34<br> <br>|3.28<br>|3.10<br>|2.96<br>|2.87<br>|2.76<br>|<br>2.61<br> <br>|
|Mauritius|1.03|<br>0.86|0.87|0.89|0.83|0.71|0.60|<br>0.51|
|Mozawbique<br>|2.60|<br>2.88|3.08|3.09|2.84|2.67|2.53|<br>2.38|
|aNamibia|3.18|<br>3.01|2.83|2.65|2.43|2.13|1.90|<br>1.64|
|Reunion|1.6i|<br>1.53|<br>1.36|1.25|1.12|<br>1.01|0.92|<br>0.83|
|Rwanda<br>|3.08<br>|<br>3.93<br> <br>|3.72<br>|3.36<br>|3.15<br>|3.07<br>|2.99<br>|<br>2.84<br> <br>|
|Seychelles|0.90|<br>0.86|1.10|1.04|0.99|1.17|0.89|<br>1.06|
|Somalia<br>|3.09<br>|<br>2.98<br> <br>|3.12<br>|3.10<br>|2.90<br>|2.71<br>|2.53<br>|<br>2.31<br> <br>|
|South Africa|2.58|<br>2.32|2.09|1.86|1.65|1.47|1.25|<br>1.14|
|Swaziland|3.65|<br>3.45|3.27|3.15|2.93|2.66|2.32|<br>2.02|
|Tanzania|2.94|<br>3.02|3.11|3.00|2.76|2.57|2.41|<br>2.24|
|Uganda|2.89|<br>3.29|3.15|2.76|2.60|2.46|2.32|<br>2.13|
|Zaire<br>|3.26<br>|<br>3.04<br> <br>|2.88<br>|2.75<br>|2.54<br>|2.32<br>|2.06<br>|<br>1.83<br> <br>|
|Zambia<br>|3.66|<br>3.18|2.91|2.68|2.54|2.39|2.18|<br>1.93|
|Zimbabwe<br>|3.08<br>|2.65<br>|2.12<br>|1.86<br>|1.66<br>|1.40<br>|1.28<br>|1.20<br>|
|Other East Africa|3.59|3.51|3.18|3.25|2.94|2.69|2.48|2.11|
|West Africa|2.97|<br>2.91|2.85|2.75|2.54|2.29|2.07|<br>1.85|
|Angola<br>|2.69<br>|2.84<br> <br>|3.10<br>|3.14<br>|2.88<br>|2.69<br>|2.54<br>|2.36<br>|
|Benin<br> <br>|3.18<br>|<br>2.97<br> <br>|2.72<br>|2.46<br>|2.28<br>|2.04<br>|1.74<br>|1.60<br> <br>|
|Burkina<br>Faso|2.69|<br>2.79|2.91|2.84|2.67|2.51|2.33|<br>2.12|
|Cameroon<br>|2.88<br>|2.87<br>|2.90<br>|2.91<br>|2.67<br>|2.36<br>|2.03<br>|1.83<br>|
|Cape Verde|2.71|3.14|2.79|2.45|2.18|2.08|1.91|1.65|
|<br>Central African Rep.<br>|2.74<br>|2.53<br>|2.39<br>|2.22<br>|2.02<br>|1.83<br>|1.63<br>|1.54<br>|
|chad|2.48|2.56|2.77|2.81|2.58|2.40|2.22|2.00|
|Congo, Peoploes Rep. of the|3.22|3.23<br>|3.23<br>|3.22<br>|3.01<br>|2.82<br>|2.63<br>|2.39<br>|
|Cote d'ivofre<br> <br>|3.98<br>|3.54<br> <br>|3.28<br>|3.06<br>|2.81<br>|2.53<br>|2.25<br>|1.95<br> <br>|
|Equatorial<br>Guinea|2.23|<br>2.22|2.31|2.24|2.05|1.86|1.67|<br>1.54|
|Gabon|2.61|2.74|2.78|2.87|2.66|2.52|2.40|2.19|
|Gambia,<br>The|3.14|2.89|2.77|2.76|2.70|2.54|2.39|2.22|
|<br>Ghana<br>|3.28<br>|3.09<br>|2.87<br>|2.67<br>|2.45|2.19|1.92|1.65|
|Guinea<br>|2.73<br>|2.70<br>|2.85<br>|2.98<br>|2.87<br>|2.62<br>|2.42<br>|2.25<br>|
|Guinea-Bissau|2.02|1.91|2.01|2.04|2.06|1.93|1.77|1.61|
|Liberfa<br>|3.05<br>|3.01<br>|2.84<br>|2.68<br>|2.47<br>|2.23<br>|1.91<br>|1.73<br>|
|Malf|2.71|2.87|3.11|3.17|3.03|2.90|2.75|2.58|
|Mauritanfa<br>|2.60<br>|2.69<br>|2.90<br>|3.09<br>|3.07<br>|2.90<br>|2.76<br>|2.59<br>|
|Niger|3.11|3.12|3.30|3.48|3.42|3.22|3.06|2.92|
|<br>Nigeria|2.91|2.87|2.75|2.58|2.31|2.01|1.89|1.69|
|Sao Tome and Principe|2.74|2.56|2.41|2.27|2.04|1.75|1.61|1.32|
|<br>Senegal|2.93|3.04|<br>3.13|<br>3.02|<br>2.80|<br>2.61|<br>2.43|2.21|
|Sierra<br>Leone|248|246|261|276|274|256|240|224|
|<br> <br>Togo|.<br>3.60|.<br>3.33|.<br>3.06|.<br>2.84|.<br>2.66|.<br>2.44|.<br>2.15|.<br>1.90|
|<br>OtherWest Africa|0.00|2.67|0.00|2.36|0.00|2.11|0.00|1.91|
|North Africa|2.53|2.45|2.21|2.02|1.83|1.63|1.46|1.35|
|Algeria<br> <br> <br> <br>|2.74<br>|<br>2.92<br> <br>|2.67<br> <br>|2.33<br> <br>|2.03<br> <br>|1.74<br> <br>|1.48<br>|<br>1.36<br> <br>|
|Egypt,<br>Arab<br>Rep.<br>of|2.25|<br>1.95|<br>1.67|<br>1.55|<br>1.41|<br>1.22|1.12|<br>1.03|
INTRODUCTION XXXVII Table **11.** _Population Growth Rate_ (continued)

|Country,<br>economy,<br>or region|1985-90|1990-95|1995-00|2000-05|2005-10|2010-15|2015-20|2020-25|
|---|---|---|---|---|---|---|---|---|
|Llbya|3.66|3.63|3.50|3.39|3.25|3.10|2.93|2.73|
|Morocco<br>Sudan|2.57<br>2.77|<br>2.52<br> <br>2.84|2.23<br> <br>2.65|1.93<br> <br>2.49|1.73<br> <br>2.29|1.54<br> <br>2.07|1.34<br> <br>1.81|1.23<br> <br>1.65|
|Tunisia|2.09|<br>2.01|<br>1.84|<br>1.60|<br>1.35|<br>1.25|<br>1.19|<br>1.11|
|other North Africa|2.88|<br>2.91|<br>2.71|<br>2.61|<br>2.57|<br>2.45|<br>2.29|<br>2.05|
|America|1.54|<br>1.49|<br>1.32|<br>1.16|<br>1.05|<br>0.99|<br>0.92|<br>0.81|
|LatIn America<br>and Caribbean|1.97|<br>1.84|<br>1.62|<br>1.42|<br>1.29|<br>1.22|<br>1.12|<br>1.00|
|Antigua<br>and Barbuda|0.77|<br>1.23|<br>1.38|<br>1.50|<br>1.39|<br>0.94|<br>0.90|<br>0.86|
|Argentina<br> <br>|1.25<br>|<br>1.09<br> <br>|<br>0.99<br> <br>|<br>0.90<br> <br>|<br>0.85<br> <br>|<br>0.82<br> <br>|<br>0.76<br> <br>|<br>0.68<br> <br>|
|Bahamas,<br>The<br>Barbados|1.89<br>031|<br>1.73<br> <br>046|<br>1.72<br> <br>053|<br>1.52<br> <br>044|<br>1.19<br> <br>036|<br>1.01<br> <br>035|<br>0.86<br> <br>042|<br>0.82<br> <br>041|
|<br>Belize|.<br>2.49|<br>.<br> <br>2.68|<br>.<br> <br>2.61|<br>.<br> <br>2.31|<br>.<br> <br>1.94|<br>.<br> <br>1.65|<br>.<br> <br>1.46|<br>.<br> <br>1.36|
|Bolivia<br>|2.46<br>|<br>2.54<br> <br>|<br>2.32<br> <br>|<br>2.09<br> <br>|<br>1.85<br> <br>|<br>1.59<br> <br>|<br>1.34<br> <br>|<br>1.24<br> <br>|
|Brazfl<br>i|2.07<br>|<br>1.84<br> <br>|<br>1.56<br> <br>|<br>1.32<br> <br>|<br>1.21<br> <br>|<br>1.16<br> <br>|<br>1.07<br> <br>|<br>0.93<br> <br>|
|Chle<br>|1.66|<br>1.41|<br>1.15|<br>1.03|<br>1.00|<br>0.96|<br>0.88|<br>0.76|
|Colombira<br>i|1.85<br>240|<br>1.62<br> <br>202|<br>1.40<br> <br>167|<br>1.32<br> <br>141|<br>1.27<br> <br>130|<br>1.17<br> <br>125|<br>1.03<br> <br>115|<br>0.90<br> <br>100|
|Costa Rca<br>Cuba|.<br>100|<br>.<br> <br>089|<br>.<br> <br>091|<br>.<br> <br>076|<br>.<br> <br>063|<br>.<br> <br>056|<br>.<br> <br>053|<br>.<br> <br>048|
|<br>Dominica|.<br>-0.55|<br>.<br> <br>0.55|<br>.<br> <br>1.31|<br>.<br> <br>1.46|<br>.<br> <br>1.36|<br>.<br> <br>1.28|<br>.<br> <br>1.01|<br>.<br> <br>1.14|
|Dominican<br>Rep.|1.95|<br>1.72|<br>1.46|<br>1.25|<br>1.16|<br>1.13|<br>1.06|<br>0.95|
|<br>Ecuador|2.22|<br>2.10|<br>1.92|<br>1.67|<br>1.41|<br>1.28|<br>1.21|<br>1.11|
|El Salvador|179|<br>180|<br>182|<br>174|<br>152|<br>129|<br>123|<br>125|
|<br>Grenada|.<br>-0.65|<br>.<br>-0.44|<br>.<br> <br>0.88|<br>.<br>1.25|<br>.<br> <br>1.37|<br>.<br> <br>1.28|<br>.<br> <br>1.20|<br>.<br> <br>1.13|
|Guadeloupe|2.12<br>|<br>0.81<br> <br>|0.68<br>|0.66<br>|0.73<br>|<br>0.83<br> <br>|<br>0.84<br> <br>|<br>0.73<br>|
|Guatemala|2.88|<br>2.88|2.68|2.49|2.21|<br>1.97|<br>1.72|<br>1.47|
|Guyana|0.20|<br>0.50|0.46|0.61|0.86|<br>1.08|<br>1.00|<br>0.88|
|Haiti|1.89|<br>2.01|1.80|<br>1.60|<br>1.55|<br>1.50|<br>1.42|<br>1.34|
|Honduras|3.05|<br>2.97|2.77|2.54|2.23|<br>1.98|<br>1.72|<br>1.46|
|Jamaica<br>|0.92<br>|0.81<br>|0.56<br>|0.58<br>|0.66<br>|0.74<br>|0.78<br>|0.80<br>|
|Martinfque<br>Mexico|1.08<br>185|1.08<br>192|0.98<br>171|0.74<br>144|0.62<br>132|0.60<br>129|0.58<br>119|0.57<br>107|
|<br>Nontserrat|.<br>0.00|.<br> <br>0.00|.<br>0.00|.<br>0.00|.<br>1.60|.<br> <br>1.48|.<br> <br>0.00|.<br> <br>1.38|
|Netherlands<br>Antilles|075|<br>123|135|117|103|<br>082|078|<br>068|
|<br> <br>Nicaragua|.<br>3.27|<br>.<br> <br>3.13|.<br>2.86|.<br>2.61|.<br>2.30|<br>.<br>2.05|.<br>1.79|<br>.<br> <br>1.51|
|<br>Panama|P.07|<br>1.71|1.41|1.27|1.24|<br>1.16|<br>1.04|<br>0.91|
|Paraguay|3.11|<br>2.91|2.64|2.44|2.30|2.17|1.90|<br>1.62|
|<br>Peru|2.22|<br>2.15|1.90|1.63|1.34|<br>1.23|1.19|<br>1.09|
|St. Kitts and Nevis|-1.45|-1.56|-1.11|-0.58|<br>0.00|0.58|1.11|<br>1.05|
|St. Lucia|1.81|<br>1.54|1.66|1.53|1.22|1.25|1.17|<br>1.11|
|St. Vincent<br>and the Grenadine<br>|s 0.96<br>|1.27<br>|1.19<br>|1.28<br>|1.35<br>|1.13<br>|1.07<br>|<br>1.01<br> <br>|
|Surfname|2.32|2.16|1.80|1.48|1.32|1.24|1.25|<br>1.12|
|Trfnidad<br>and Tobago<br>|1.27<br>|<br>1.03<br>|0.95<br>|0.92<br>|0.97<br>|1.00<br>|0.95<br>|<br>0.85<br>|
|Uruguay<br>Venezela|0.56<br>262|0.53<br>227|0.60<br>194|0.70<br>165|0.64<br>139|0.57<br>128|0.52<br>121|0.49<br>109|
|u<br>Virgin Islands<br>(U.S.)|.<br>0.55|.<br>1.06|.<br>1.17|.<br>1.S1|.<br>1.18|.<br>0.98|.<br>0.80|.<br> <br>0.77|
|<br> <br>Other Latin America|1.96|<br>1.79|1.56|1.30|1.22|1.02|0.91|<br>0.81|
|Northern<br>America|0.89|0.94|0.82|0.70|0.61|0.56|0.51|<br>0.43|
|Canada|1.05|1.01|0.88|0.74|0.61|0.52|0.45|<br>0.37|
|Puerto<br>Rico<br>United States of America|0.89<br>087|0.67<br>093|0.60<br>081|0.51<br>070|0.40<br>061|0.32<br>056|0.35<br>052|<br>0.38<br> <br>044|
|<br>Other Northern<br>America|.<br>1.02|.<br>0.81|.<br>0.78|.<br>0.60|.<br>0.44|.<br>0.43|.<br>0.28|<br>.<br> <br>0.14|
|Asia|1.89|1.74|1.53|1.37|1.24|1.15|1.08|<br>1.00|
|East and Southeast<br>Asfa|1.58|1.46|1.25|1.06|0.93|0.87|0.82|<br>0.75|
|Brunei<br>|3.12<br>|2.97<br>|2.53<br>|2.08<br>|1.64<br>|1.29<br>|1.12<br>|1.06<br>|
|Cawibodfa<br>|2.47<br>|2.23<br>|1.60<br>|1.27<br>|1.20<br>|1.15<br>|1.12<br>|1.01<br>|
|China (excluding Taiwan)|1.57|1.44|1.20|1.00|0.87|0.83|0.79|0.73|
xx0cviii INrRODUCTON Table 11. _Populadon Growth Rate_ (continued)

|Country,<br>economy, or region|1985-90|1990-9|199<br>I<br>-00|2000-05|2005-10|2010-1|5 2015-20|2020-25|
|---|---|---|---|---|---|---|---|---|
|Taiwan, Chtna<br>|1.19<br>|0.87|0.78|0.76|0.71|0.62|0.52|0.45|
|Hong Kong<br>|1.24<br>|0.90<br> <br>|0.72<br> <br>|0.62<br> <br>|0.49<br>|0.39|0.30|0.21|
|Indonesia<br>J|1.78<br>|<br>1.68<br> <br>|<br>1.50<br> <br>|<br>1.30<br> <br>|<br>1.17<br> <br>|<br>1.09<br> <br>|<br>1.00<br> <br>|<br>0.91<br>|
|apan<br> <br> <br>|0.45<br> <br>|<br>0.35<br> <br>|<br>0.30<br>|<br>0.25|<br>0.12|<br>-0.03|<br>-0.13|-0.19|
|Korea,<br>Dem. People's<br>Rep. of<br>|<br>1.63<br>|<br>1.70<br> <br>|<br>1.53<br> <br>|<br>1.30<br> <br>|<br>1.08<br> <br>|<br>0.96<br> <br>|<br>0.89<br> <br>|<br>0.82<br> <br>|
|Korea, Rep. of<br>'|0.95<br>|<br>0.89<br>|<br>0.83<br>|<br>0.76<br>|<br>0.64<br>|<br>0.52<br>|<br>0.44<br>|<br>0.39<br>|
|Lao Peoples Dom. Rep.<br>|3.05<br>|3.08<br> <br>|2.95<br> <br>|2.74<br> <br>|2.61<br> <br>|2.49<br> <br>|2.32<br> <br>|2.05<br> <br>|
|Nacao<br>Malaysia<br>|3.16<br>2.60<br>|<br>1.83<br> <br>2.40<br> <br>|<br>1.23<br> <br>2.08<br> <br>|<br>0.77<br> <br>1.79<br> <br>|<br>0.67<br> <br>1.57<br> <br>|<br>0.65<br> <br>1.37<br> <br>|<br>0.63<br> <br>1.27<br> <br>|<br>0.55<br> <br>1.19<br> <br>|
|Mongolia<br>Myarnar<br>|2.70<br>2.06<br>|<br>2.65<br> <br>2.19<br>|<br>2.41<br> <br>1.86<br> <br>|<br>2.13<br> <br>1.55<br> <br>|<br>1.85<br> <br>1.25<br> <br>|<br>1.61<br> <br>1.17<br> <br>|<br>1.37<br> <br>1.17<br>|<br>1.27<br> <br>1.11|
|Philippfnes|2.34|1.94|<br>1.68|<br>1.51|<br>1.32|<br>1.23|<br>1.16|<br>1.06|
|Singapore<br>|1.90<br>|<br>1.39<br>|<br>0.92|<br>0.76|<br>0.66|<br>0.60|<br>0.54|<br>0.43|
|Thailand|1.55|<br>1.37|<br>1.31|<br>1.27|<br>1.16|<br>1.03|<br>0.90|<br>080|
|Viet Nam|2.38|<br>2.28|<br>1.96|<br> <br>1.67|<br> <br> <br>1.41|<br> <br> <br>1.33|<br> <br> <br>1.29|<br>.<br> <br>1.20|
|South Asia<br>|2.27|<br>2.02|<br>1.80|<br>1.68|<br>1.54|<br>1.39|<br>1.30|<br>1.21|
|Afghanistan<br>|2.45<br>|<br>2.73<br> <br>|<br>2.81<br> <br>|<br>2.93<br> <br>|<br>2.88<br> <br>|<br>2.69<br> <br>|<br>2.54<br> <br>|<br>2.39<br> <br>|
|Bangladesh|2.22|<br>1.95|<br>1.69|<br>1.60|<br>1.42|<br>1.20|<br>1.10|<br>1.02|
|Bhutan<br>|2.16<br>|<br>2.38<br> <br>|<br>2.41<br> <br>|<br>2.32<br> <br>|<br>2.07<br> <br>|<br>1.88<br> <br>|<br>1.69<br> <br>|<br>1.60<br>|
|India|2.09|<br>1.81|<br>1.58|<br>1.44|<br>1.29|<br>1.12|<br>1.03|<br>0.96|
|Iran, Istamic<br>Rep. of<br>|3.69<br>|<br>3.50<br> <br>|<br>3.28<br> <br>|<br>3.15<br> <br>|<br>3.10<br> <br>|<br>3.06<br> <br>|<br>2.97<br> <br>|<br>2.82<br> <br>|
|Maldives<br>Nepal|3.24<br>251|<br>3.35<br> <br>256|<br>3.14<br> <br>230|<br>2.89<br> <br>210|<br>2.68<br> <br>188|<br>2.50<br> <br>167|<br>2.18<br> <br>|<br>2.00<br> <br>|
|<br>|.<br>|<br>.<br> <br>|<br>.<br> <br>|<br>.<br> <br>|<br>.<br> <br>|<br>.<br> <br>|<br>1.45<br> <br>|<br>1.21<br> <br>|
|Pakfstan|3.11|<br>2.84|<br>2.58|<br>2.35|<br>2.12|<br>1.97|<br>1.77|<br>1.53|
|Sri Lanka|1.42|<br>1.12|<br>1.02|<br>1.04|<br>1.00|<br>0.91|<br>0.80|<br>0.71|
|Southwest<br>Asia|2.78|<br>2.87|<br>2.61|<br>2.41|<br>2.21|<br>2.06|<br>1.92|<br>1.74|
|Bahrain<br>|3.37<br>|3.02<br> <br>|<br>2.50<br> <br>|<br>2.17<br> <br>|<br>1.96<br> <br>|<br>1.85<br> <br>|<br>1.63<br> <br>|<br>1.34<br> <br>|
|Cyprus|1.05|<br>0.81|<br>0.73|<br>0.73|<br>0.70|<br>0.68|<br>0.59|<br>0.48|
|Gaza Strip|2.57|<br>302|<br>286|<br>283|<br>277|<br>263|<br>242|<br>218|
|<br>Iraq|<br>3.47|<br>.<br>3.39|<br>.<br>3.26|<br>.<br> <br>3.01|<br>.<br> <br>2.74|<br>.<br> <br>2.43|<br>.<br> <br>2.13|<br>.<br> <br>1.82|
|Israel<br>|1.92<br>|<br>4.80<br> <br>|<br>1.63<br> <br>|<br>1.23<br> <br>|<br>1.08<br> <br>|<br>1.04<br> <br>|<br>0.98<br>|<br>0.89|
|Jordan (East Bank)|3.18|<br>4.82|<br>3.15|<br>2.72|<br>2.28|<br>2.00|<br>1.77|<br>1.52|
|Kuwaft<br>|4.49<br>|<br>0.84<br>|<br>2.40<br> <br>|<br>1.98<br>|<br>1.56<br>|<br>1.18<br>|<br>1.02<br>|<br>0.84<br>|
|Lebanon|0.10|0.96|<br>1.37|1.64|1.42|1.26|1.22|121|
|Oman<br>|4.48<br>|4.03<br>|<br>3.58<br>|<br>3.29<br>|<br>3.16|<br>2.97|<br>2.68|.<br>2.31|
|Qatar|4.08|3.00|261|228|201|178|156|132|
|<br>Saudi Arabia<br>|<br>3.64<br>|<br>3.70<br>|.<br>3.52|.<br>3.33|.<br>3.09|.<br>2.86|.<br>2.58|.<br>2.25|
|Syran Arab Rep.<br>Tk|3.55<br>|3.68<br>|3.47<br>|3.26<br>|3.01<br>|2.73<br>|2.41<br>|2.14<br>|
|urey<br>|2.18<br>|2.01|1.75|1.48|1.23|1.13|1.09|1.00|
|United Arab Emirates<br>|3.31<br>|2.38<br>|1.98<br>|1.66<br>|1.47<br>|1.17<br>|0.88<br>|0.73<br>|
|West Bank|3.14|3.39|3.13|2.81|2.42|2.10|1.82|1.54|
|Yemen, Rep. of|3.08|3.54|3.67|3.62|3.45|3.33|3.21|3.03|
|Europe and C.I.S.|0.53|0.45|0.42|0.41|0.35|0.31|0.28|0.26|
|Albanfa<br>|1.86<br>|1.57<br>|1.37<br>|1.21|1.15|1.09|1.00|0.88|
|Armenia<br>Ai|0.78<br>|0.71<br>|0.92<br>|0.94<br>|0.89<br>|0.82<br>|0.71<br>|0.63<br>|
|ustra<br>|0.41|0.23|0.09|0.07|-0.02|-0.04|-0.05|-0.08|
|Azerbafjan|139|106|115|107|107|103|093|082|
|<br>Belarus|.<br>0.60|.<br>0.51|.<br>0.50|.<br>0.47|.<br>0.40|.<br>0.37|.<br>0.34|.<br>0.34|
|Belgtua<br>|0.20<br>|0.26<br>|0.22<br>|0.16<br>|0.08<br>|0.02|0.02<br>|0.03<br>|
|Bulgaria|-0.27|-0.23|-0.14|-0.03|-0.03|-0.01|<br>-0.00|0.04|
|<br>Channel Islands<br>|1.44<br>|0.95<br>|0.52<br>|0.26<br>|<br>0.00<br>|<br>0.13<br>|<br> <br>0.13<br>|0.00|
|Czechoslovakfa|0.21|0.21|0.29|0.38|0.35|0.32|0.29|029|
|Croatfa|0.23<br>|0.22<br>|0.24<br>|<br>0.23|<br>0.17|<br>0.09|<br>0.05|.<br>0.04|
|Denmark|0.10|0.18|0.16|008|003|000|001|000|
|Estonia<br>Ffnland|<br>0.65<br>034|<br>0.62<br>034|<br>0.44<br>028|.<br>0.43<br>025|.<br>0.39<br>019|.<br>0.34<br>017|.<br>0.33<br>014|.<br>0.30<br>010|
|<br>France|.<br>0.46|.<br>0.43|.<br>0.39|.<br>0.36|.<br>0.29|.<br>0.22|.<br>0.19|.<br>0.17|
INTRODUCTION )xxix

> Table 11. _Population Growth Rate_ (continued)

|Country,<br>economy,<br>or region|1985-9|0<br>1990-95|1995-00|2000-05|2005-10|2010-15|2015-2|0 2020-25|
|---|---|---|---|---|---|---|---|---|
|Georgla|0.61|<br>0.56|<br>0.62|<br>0.58|<br>0.50|<br>0.46|<br>0.4|2<br>0.41|
|<br>Germany|0.45|<br>0.26|<br>0.15|<br>0.08|<br>-0.05|<br> <br>-0.1|<br> <br>0 -0.1|<br><br>2 -0.16|
|<br>Greece|0.27|<br>0.20|<br>0.15|<br> <br>0.15|<br> <br>0.06|<br>-0.0|<br>5 -0.1|<br>4 -0.16|
|Nungary|-0.2|0 -0.5|0 -0.27|-0.1|7 -0.12|-0.1|1 -0.0|8 -0.06|
|<br>Iceland<br>|<br>1.13<br>|<br> <br>1.07|<br> <br>0.94|<br> <br>0.90|<br> <br>0.73|<br> <br>0.71|<br> <br>0.62|<br> <br>0.60|
|Ireland<br>|-0.21<br>|-0.0<br>|3 0.17<br>|<br>0.19<br>|<br>0.40|<br>0.48|<br>0.54|<br>0.51|
|Italy|0.18|0.10|0.01|-0.02|-0.11|-0.22|-0.27|<br>-0.27|
|Kazakhstan|1.10|<br>0.85|<br>0.96|<br>0.93|<br>0.96|<br>0.93|<br>0.82|<br>0.71|
|Kyrgyzstan<br>|1.90|<br>1.58|<br>1.74|<br>1.62|<br>1.49|<br> <br>1.31|<br> <br> <br>1.19|<br><br> <br>1.12|
|Latvfi<br>|0.49|<br>0.58|<br>0.34|<br>0.34|<br>0.30|<br>0.27|<br>0.26|<br>0.23|
|Lithuanna|0.84|<br>0.89|<br>0.54|<br>0.51|<br>0.43|<br>0.38|<br>0.35|<br>0.32|
|Luxembourg|0.59|<br>0.31|<br>0.16|<br>0.05|<br>0.00|-0.0|5 0.00|-0.05|
|Malta|0.57|<br>0.45|<br>0.49|<br>0.48|<br>0.42|<br>0.41|<br>0.35|<br>0.30|
|Noldova|0.82|<br>0.59|<br>0.62|<br>0.84|<br>1.07|<br>1.01|<br>0.81|<br>0.65|
|Netherlands<br>|0.61|<br>0.65|<br>0.53|<br>0.33|<br>0.21|<br>0.15|<br>0.13|<br>0.10|
|Norway<br>|0.42<br>|0.47<br>|0.42|0.34|0.27|0.27|0.29|<br>0.27|
|Poland|0.52|0.41|0.40|0.46|0.46|0.43|0.38|<br>0.36|
|Portugal|0.38|<br>0.38|<br>0.35|<br>0.31|<br>0.24|<br>0.15|<br>0.11|<br>0.11|
|<br>Romania<br>|0.41|<br>0.35|<br>0.42|<br>0.44|<br>0.39|<br>0.37|<br>0.36|<br>0.37|
|Russian<br>Federation|0.60|<br>0.48|<br>0.44|<br>0.46|<br>0.42|<br>0.40|<br>0.35|<br>0.33|
|Slovenia<br>|0.30<br>|<br>0.27<br> <br>|<br>0.31<br>|<br>0.33|<br>0.26|<br>0.16|<br>0.09|<br>0.05|
|Spain<br>|0.23|<br>0.22|<br>0.19|<br>0.19|<br>0.11|<br>0.03|-0.0|1 0.00|
|Sweden<br>|0.49<br>|<br>0.47<br> <br>|<br>0.37<br> <br>|<br>0.25<br>|<br>0.14|<br>0.17|<br>0.20|<br>0.18|
|Swftzerland|0.73|<br>0.49|<br>0.38|<br>0.24|<br>0.08|<br>0.05|<br>0.03|-0.01|
|Tajikistan|2.93|<br>2.63|<br>2.57|<br>2.32|<br>2.11|<br>1.86|<br> <br>1.55|<br> <br>1.39|
|<br>Turkmenfstan|2.46|<br>2.06|<br>1.93|<br>1.77|<br>1.62|<br>1.43|<br>1.29|<br>1.18|
|United<br>Kingdom<br>|0.27|0.32|0.27|0.21|0.18|<br>0.18|<br> <br>0.21|<br><br>0.21|
|Ukraine<br>|0.37|0.38|0.34|0.32|0.25|0.24|0.22|0.24|
|Uzbekistan<br>|2.53|2.06|2.05|1.87|1.70|1.47|1.33|<br>1.23|
|Yugoslavia<br>|0.68<br>|0.67<br>|0.66<br>|0.63<br>|0.50<br>|0.42<br>|0.37<br>|0.36<br>|
|Other Europe|0.83|0.00|0.77|0.67|0.59|0.51|0.49|0.36|
|Oceanfa|1.64|1.57|1.38|1.19|1.00|0.84|0.71|0.65|
|Australia<br>|1.62|1.48|1.25|1.04|0.82|0.64|0.50|0.43|
|FIji<br>|1.22<br>|1.00<br>|0.78<br>|0.70|0.75|0.79|0.82|0.77|
|French Polynesia|2.83|2.66|2.42|1.95|1.45|1.29|1.15|1.14|
|<br>Guam<br>|2.16|1.68|1.30|1.34|1.14|1.19|<br>0.92|0.88|
|KIrfbati<br>|1.79|1.91|1.74|1.38|1.50|1.20|1.32|1.06|
|Micronesia,<br>Fed. States of<br>|2.48|2.55|2.41|2.42|2.04|1.74|1.50|1.39|
|New Caledonia<br>|1.64<br>|1.52<br>|1.30<br>|1.32|1.15|1.00|0.95|0.83|
|NewZealand<br>|0.69|0.71|0.71<br>|0.64<br>|0.55<br>|0.50<br>|0.48|0.42|
|PapuaNew Guinea<br> <br>|2.47<br>|<br>2.47<br> <br>|<br>2.17<br> <br>|1.90<br>|1.68<br>|1.49<br>|1.30<br>|1.24<br>|
|Solomon<br>Islands|285|<br>326|<br>299|<br>268|<br>226|199|175|150|
|<br> <br>Tonga|.<br>0.82|<br>.<br>1.18|<br>.<br>111|<br>.<br>105|<br>.<br>116|.<br>095|.<br>105|.<br>127|
|<br>Vanuatu|<br>2.84|<br> <br>3.18|.<br> <br>2.94|.<br> <br>2.65|.<br> <br>2.34|.<br> <br>2.09|.<br> <br>183|.<br> <br>168|
|Western<br>Samoa<br> <br>|0.99<br>|<br>1.52<br> <br>|<br> <br>1.62<br> <br>|<br> <br> <br>1.78<br> <br>|<br> <br> <br>1.81<br> <br>|<br> <br> <br>1.58<br> <br>|<br>.<br> <br>1.39<br> <br>|<br>.<br> <br>1.30<br> <br>|
|Other<br>Micronesia|2.64|<br>2.52|<br>2.07|<br>2.03|<br>1.70|<br>1.32|<br>1.35|<br>127|
|Other<br>Polynesia|1.46|<br>2.01|<br>1.83|<br> <br>2.03|<br> <br> <br>1.52|<br> <br> <br>1.26|<br> <br> <br>1.33|<br>.<br> <br>1.25|
Xi INTRODUCTION Table 12. _Etmates and Projecdons of Total Ferliy Rate (TFR) for All Countie and Economes, 1985-90 to 202530_

|Country, conomy, or region|1985-89|1990-94|1995-99|2000-04|2005-09|2010-14|2015-19|2020-24|2025-29|
|---|---|---|---|---|---|---|---|---|---|
|World|3.44|3.24|<br>3.03|2.88|2.74|2.61|2.52|2.44|2.35|
|Africa|6.06|5.85|5.50|5.10|4.59|4.09|3.64|3.27|2.92|
|East Africa|6.41|6.30|6.07|5.70|5.17|4.64|4.14|3.69|3.27|
|Botsewna<br>|5.30<br>|4.33<br>|3.35<br>|2.92<br>|2.54<br>|2.22<br>|2.10<br>|2.09<br>|2.08<br>|
|Burundi<br>|6.80<br>|6.80<br>|6.80<br>|6.50<br>|5.90<br>|5.30<br>|4.70<br>|4.10<br>|3.50<br>|
|Comoros<br>Djibouti<br>|7.00<br>6.60<br>|6.70<br>6.60<br>|6.10<br>6.30<br>|5.50<br>5.70|4.90<br>5.10|4.30<br>4.50|3.70<br>3.90|3.13<br>3.30|2.65<br>2.91|
|Ethiopia<br>|7.50<br>|7.50<br>|7.50<br>|7.20<br>|6.60<br>|6.00<br>|5.40<br>|4.80<br>|4.20<br>|
|_Kenya_<br>|6.70|6.43|5.86|5.28|4.68|4.08|3.48|3.02|2.61|
|Lesotho<br>|5.80<br>|5.50<br>|4.90<br>|4.30<br>|3.70<br>|3.17<br>|2.72<br>|2.34<br>|2.20<br>|
|Madagascar<br>Malawi|6.46<br>760|6.16<br>760|5.56<br>760|4.96<br>730|4.36<br>670|3.76<br>610|3.24<br>550|2.79<br>490|2.40<br>430|
|<br>Mauritius|.<br>2.00|.<br>1.75|.<br>1.75|.<br>1.81|.<br>1.86|.<br>1.91|.<br>1.96|.<br>2.01|.<br>2.06|
|Mozambique<br>|6.30<br>|6.52<br>|6.74<br>|6.66<br>|6.06<br>|5.46<br>|4.86<br>|4.26<br>|3.66<br>|
|Namibia|6.09|5.79|5.19|4.59|3.99|3.39|2.97|2.59|2.27|
|Reunion|2.42<br>|2.16<br>|2.07|2.06|2.06|2.05|2.05|2.05|2.05|
|Rwanda<br>|8.29<br>|8.29<br>|7.99<br>|7.39<br>|6.79<br>|6.19<br>|5.59<br>|4.99<br>|4.39<br>|
|Seychelles<br>|3.00|2.70|2.42|2.18|2.09|2.08|2.08|2.07|2.07|
|Somalia<br>|6.77<br>|6.77<br>|6.77<br>|6.47<br>|5.87<br>|5.27<br>|4.67<br>|4.07<br>|3.47<br>|
|South Africa|4.48|4.08|3.68|3.28|2.88|2.54|2.23|2.12|2.11|
|Swazfland<br>|6.87<br>|6.57<br>|5.97<br>|5.37<br>|4.77<br>|4.17<br>|3.57<br>|3.07<br>|2.64<br>|
|Tanzania|6.50|6.61|6.72|6.53|5.93|5.33|4.73|4.13|3.53|
|Uganda<br>|7.30<br>|7.30<br>|7.00<br>|6.40<br>|5.80<br>|5.20<br>|4.60<br>|4.00<br>|3.40<br>|
|Zaire<br>|6.30<br>|6.22<br>|5.84<br>|5.46<br>|4.86<br>|4.26<br>|3.66<br>|3.15<br>|2.7n<br>|
|Zarbia|6.75|6.67|6.29|5.91|5.31|4.71|4.11|3.51|3.06|
|Ziffbabe<br>|5.40<br>|4.55<br>|3.70<br>|3.19<br>|2.76<br>|2.38<br>|2.24<br>|2.22<br>|2.19<br>|
|other East Africa|7.00|6.70|6.10|5.50|4.90|4.30|3.70|3.13|2.65|
|West Africa|6.28|6.14|5.76|5.33|4.76|4.16|3.65|3.19|2.79|
|Angola<br>|6.39<br>|6.56<br>|6.72<br>|6.59<br>|5.99<br>|5.39<br>|4.79<br>|4.19<br>|3.59<br>|
|Benin<br>|6.50<br>|6.20<br>|5.60<br>|5.00<br>|4.40<br>|3.80<br>|3.20<br>|2.88<br>|2.59<br>|
|Burkina Faso<br>Cameroon|6.50<br>590|6.50<br>585|6.50<br>550|6.20<br>514|5.60<br>454|5.00<br>394|4.40<br>334|3.80<br>293|3.20<br>257|
|<br>Cape Verde|.<br>5.58|.<br>5.28|.<br>4.68|.<br>4.08|.<br>3.48|.<br>3.00|.<br>2.59|.<br>2.23|.<br>2.10|
|<br>Central African Rep.<br>|5.75<br>|5.75<br>|5.46<br>|5.16<br>|4.56<br>|3.96<br>|3.36<br>|2.98<br>|2.65<br>|
|Chad<br>'|5.89<br>|6.03<br>|6.17<br>|6.00<br>|5.40<br>|4.80<br>|4.20<br>|3.60<br>|3.10<br>|
|congo, Peoples Rep. of the<br>Cote d'fvoire|6.50<br>680|6.61<br>661|6.43<br>612|6.24<br>563|5.64<br>503|5.04<br>443|4.44<br>383|3.84<br>323|3.24<br>286|
|<br>Equatorial Gufine|.<br>5.50|.<br>5.50|.<br>5.50|.<br>5.20|.<br>4.60|.<br>4.00|.<br>3.40|.<br>3.00|.<br>2.65|
|Gabon<br>|5.50<br>|5.92<br>|6.03<br>|6.15<br>|5.55<br>|4.95<br>|4.35<br>|3.75<br>|3.15<br>|
|Gaubia, The|6.50|6.50|6.50|6.50|6.20|5.60|5.00|4.40|3.80|
|Ghana<br>|6.40<br>|6.10<br>|5.50<br>|4.90<br>|4.30<br>|3.70<br>|3.17<br>|2.72<br>|2.34<br>|
|Guirna|6.50|6.50|6.50|6.50|6.20|5.60|5.00|4.40|3.80|
|Guinea-Bisaau<br>|6.00<br>|6.00<br>|<br>6.00<br>|<br>6.00|<br>5.70|<br>5.10|<br>4.50|<br>3.90|3.39|
|Liberia|650|620|560|500|440|380|320|285|254|
|<br>Malf|.<br>7.00|.<br>7.06|.<br>7.11|.<br>6.87|.<br>6.27|.<br>5.67|.<br>5.07|.<br>4.47|.<br>3.87|
|Mauritania<br>|6.80<br>|6.80<br>|6.80<br>|6.80<br>|6.50<br>|5.90<br>|5.30<br>|4.70<br>|4.10<br>|
|Niger<br>Nigeria<br>|7.10<br>6.10<br>|7.18<br>5.86<br>|7.27<br>5.31<br>|7.35<br>4.77<br>|7.05<br>4.17<br>|6.45<br>3.57<br>|5.85<br>3.24<br>|5.25<br>2.89<br>|4.65<br>2.57<br>|
|Sao Tome and Prfncipe|5.25|4.95|4.35|3.75|3.15|2.78|2.45|2.16|2.06|
|<br>Senegal<br>|<br>6.50|<br>6.50|<br>6.50|<br>6.20|<br>5.60|<br>5.00|<br>4.40|<br>3.80|3.20|
|Sierra Leone|650|650|650|650|620|560|500|440|380|
|<br>Togo|.<br>6.80|.<br>6.50|.<br>5.90|.<br>5.30|.<br>4.70|.<br>4.10|.<br>3.50|.<br>3.04|.<br>2.65|
|<br>Other West Africa|2.99|2.71|2.4|2.23|2.14|2.12|2.09|2.07|2.05|
|North Africa|503|455|401|354|315|280|253|240|231|
|<br>Algerfa|.<br>550|.<br>482|.<br>414|.<br>346|.<br>299|.<br>258|.<br>223|.<br>211|.<br>209|
|<br>Egypt, Arab Rep. of|.<br>4.38|.<br>3.84|.<br>3.30|.<br>2.92|.<br>2.59|.<br>2.29|.<br>2.18|.<br>2.15|.<br>2.12|
INTRODUCTION Xli

> Table 12. _Total Fenhiyt Rate_ (continued)

|Country, economy, or region|1985.89|1990-94|1995-99|2000-04|2005-09|2010-14|2015-19|2020-24|2025-29|
|---|---|---|---|---|---|---|---|---|---|
|Libya<br>M|6.87<br>|<br>6.47<br>|<br>6.06<br>|<br>5.66<br> <br>|5.25<br>|4.85<br>|4.44<br>|4.04<br>|3.63<br>|
|orocco<br>Sudan|4.84<br>6.44|4.30<br>622|3.75<br>571|<br>3.21<br>519|2.84<br>459|2.52<br> <br>399|2.23<br> <br>339|2.12<br> <br>300|2.10<br>265|
|Tunfsfa|<br>4.00|.<br>3.31|.<br>2.90|.<br>2.55|.<br>2.23|<br>.<br>2.12|<br>.<br>2.11|<br>.<br>2.10|.<br>2.08|
|Other North Africa|6.50|<br>6.50|<br>5.99|<br>5.48|<br>4.97|<br>4.46|<br>3.95|<br>3.44|<br>2.99|
|America|2.82|<br>2.70|<br>2.49|<br>2.29|<br>2.19|<br>2.15|<br>2.12|<br>2.10|<br>2.08|
|Latin America<br>and Caribbean<br> <br>|3.53<br>|<br>3.12<br> <br>|<br>2.74<br> <br>|<br>2.42<br> <br>|<br>2.26<br> <br>|<br>2.20<br>|<br>2.15|<br>2.11|<br>2.09|
|Antigua<br>and Barbuda|1.90|<br>1.90|<br>1.90|<br>1.93|<br>1.95|<br>1.98|<br>2.01|<br>2.03|<br>2.06|
|Argentina<br> <br>|2.96<br>|<br>2.68<br> <br>|<br>2.42<br>|<br>2.19|<br>2.10|<br>2.09|<br>2.09|<br> <br>2.08|<br><br> <br>2.07|
|Bahamas,<br>The<br>Barbados|2.30<br>180|<br>2.13<br> <br>180|<br>2.11<br> <br>|<br>2.10<br> <br>|<br>2.10<br> <br>|<br>2.09<br> <br>|<br>2.08<br> <br>|<br>2.08<br> <br>|<br>2.07<br> <br>|
|<br>|.<br>|<br>.<br> <br>|<br>1.80<br> <br>|<br>1.84<br> <br>|<br>1.89<br>|<br>1.93|<br>1.97|<br>2.01|<br>2.05|
|Selize<br>Bolivia|5.00<br>500|<br>4.50<br> <br>|<br>4.00<br> <br>|<br>3.50<br> <br>|<br>3.01<br> <br>|<br>2.58<br> <br>|<br>2.22<br> <br>|<br>2.08<br> <br>|<br>2.07<br> <br>|
|<br>|.<br>|<br>4.70<br> <br>|<br>4.10<br>|<br>3.50|<br>3.03|<br>2.62|<br>2.26|<br>2.14|<br>2.11|
|Brazil<br>hil|3.49<br>|<br>3.02<br> <br>|<br>2.62<br> <br>|<br>2.27<br> <br>|<br>2.14<br> <br>|<br>2.12<br> <br>|<br>2.11<br> <br>|<br>2.09<br> <br>|<br>2.08<br> <br>|
|Ce<br>|2.73|<br>2.44|<br>2.19|<br>2.09|<br>2.09|<br>2.08|<br>2.08|<br>2.07|<br>2.07|
|Colotiaa<br>Ct Ri|2.90<br>|<br>2.55<br> <br>|<br>2.24<br> <br>|<br>2.13<br> <br>|<br>2.12<br> <br>|<br>2.11<br> <br>|<br>2.10<br>|<br>2.09<br> <br>|<br>2.08<br> <br>|
|osa ca<br>|3.26<br>|<br>2.86<br>|<br>2.51<br>|<br>2.20|<br>2.09|<br>2.08|2.08|<br>2.07|<br>2.07|
|Cuba<br>|1.90<br>|1.90<br> <br>|1.90<br> <br>|1.93<br> <br>|1.96<br>|1.98<br>|2.01<br>|2.04<br>|2.06<br>|
|Dominica<br>|3.13|<br>2.64|<br>2.23|<br>2.09|2.08|2.08|2.07|2.07|2.07|
|Dominican<br>Rep.<br>|3.50<br>|<br>3.03<br> <br>|2.63<br> <br>|2.28<br>|2.15<br>|2.13<br>|2.11|2.10|2.08|
|Ecuador<br>|4.10|<br>3.50|<br>3.03|2.62|2.26|<br>2.13|2.12|2.10|<br>2.09|
|EtSalvador<br>|4.60<br>|<br>4.05<br>|<br>3.49<br>|3.01<br>|2.60<br>|<br>2.24<br>|<br>2.11<br>|<br>2.10<br>|<br><br> <br>2.08<br>|
|Grenada<br>Guadeloupe|3.28<br>260|2.88<br>222|2.53<br>209|2.21<br>208|2.10<br>|2.09<br>|2.09<br>|2.08<br>|2.07<br>|
|<br>|.<br>|.<br>|.<br>|.<br>|2.08<br>|2.08|2.07|2.07|2.06|
|Guatemala<br>Gn|5.60<br>|5.30<br> <br>|4.70<br> <br>|4.10<br>|3.50<br>|3.01<br>|2.58<br>|2.22<br>|2.09<br>|
|uyaa<br>|3.06<br>|<br>2.64<br>|<br>2.28|2.15|2.13|2.12|2.10|2.09|2.07|
|Haiti<br>Hd|4.99<br>|<br>4.68<br> <br>|4.37<br>|4.05<br>|3.71<br>|3.37<br>|3.03<br>|2.77<br>|2.52<br>|
|onuras<br>|5.55<br>|<br>5.00<br>|4.44<br>|3.89<br>|3.34|2.91|2.53|2.21|2.09|
|-amaSca<br>Mrtini|3.00<br>|2.57<br>|2.20<br>|2.07<br>|2.07<br>|2.06<br>|2.06<br>|2.06<br>|2.05<br>|
|aque<br>|2.14<br>|2.08|2.08|2.08|2.07|2.07|2.07|2.07|2.06|
|Mexico<br>|3.58<br>|3.07<br>|2.63<br>|2.25<br>|2.12<br>|2.10<br>|2.09<br>|2.08<br>|2.07<br>|
|Montserrat|2.64|2.40|2.19|2.11|2.10|2.09|2.08|2.08|2.07|
|Netherlands<br>Antilles<br>|2.15<br>|2.09<br>|2.09<br>|2.08<br>|2.08<br>|2.07|2.07|<br>2.07|2.06|
|Nicaragua<br>Panama|5.50<br>314|5.20<br>265|4.60<br>224|4.00<br>210|3.40<br>209|2.95<br>|2.55<br>|2.21<br>|2.09<br>|
|<br>|.<br>|.<br>|.<br>|.|.|2.09|2.08|2.08|2.07|
|Paraguay<br>Peru|4.80<br>406|4.50<br>358|4.20<br>308|3.90<br>2|3.60<br>|3.30<br>|2.88<br>|2.52<br>|2.20<br>|
|<br>|.|.|.|.65|2.28|2.15|2.13|2.11|2.09|
|St. Kitts and Nevis<br>|2.80<br>|2.49<br>|2.22<br>|2.12<br>|2.11<br>|2.10<br>|2.09<br>|2.08<br>|2.07|
|St. Lucia<br>|3.50<br> <br>|3.01<br>|2.58<br>|2.22|2.09|2.08|2.08|2.07|2.07|
|St. Vincent and the Grenadines<br>Si|<br>2.75<br>|2.46<br>|2.19<br>|2.10<br>|2.09<br>|2.09<br>|2.08<br>|2.07<br>|2.07<br>|
|urname<br>|3.68|3.22|2.84|2.51|2.21|2.10|2.09|2.08|2.07|
|Trinidad and Tobago<br>|2.95<br>|2.66<br>|2.40<br>|2.17<br>|2.08<br>|2.07<br>|2.07<br>|2.06<br>|2.06<br>|
|Uruguay<br>Venezuela|2.43<br>377|2.19<br>336|2.10<br>292|2.09<br>255|2.08<br>222|2.08<br>|2.08<br>|2.07<br>|2.07<br>|
|<br>|.<br>|.<br>|.<br>|.<br>|.<br>|2.10<br>|2.09<br>|2.08|2.07|
|Virgin Islands (U.S.)|2.58|2.23|2.10|2.09|2.08|2.08|207|207|206|
|<br>Other Latin America|3.02|2.61|2.25|<br>2.13|<br>2.12|<br>2.12|.<br>2.11|.<br>2.11|.<br>2.10|
|Northern<br>America<br>|1.87|1.99|2.00|2.01|2.02|2.03|2.04|2.05|2.06|
|Canada|1.68|1.85|1.88|1.91|1.94|1.97|200|203|206|
|Puerto Rico<br>United States<br>of America|2.40<br>188|2.17<br>200|2.09<br>201|2.08<br>202|<br>2.08<br>203|<br>2.07<br>204|.<br>2.07<br>205|.<br>2.07<br>206|.<br>2.06<br>206|
|<br> <br>Other Northern<br>America|.<br>2.00|.<br>2.00|.<br>2.00|.<br>2.01|.<br>2.03|.<br>2.04|.<br>2.05|.<br>2.07|.<br>2.08|
|sia|3.48|3.16|2.87|2.69|2.54|2.41|2.34|2.29|2.25|
|Eastand Southeast<br>Asia<br>Brunei|2.72<br>410|2.49<br>|2.29<br>|2.17<br>288|2.12<br>|2.10<br>|2.10<br>|2.09<br>|2.08<br>|
|<br>|.<br>|3.70|3.30|.|2.51|2.19|2.07|2.07|2.06|
|Cmbodia<br>Chi|4.70<br>|4.40<br>|3.80<br>|3.27<br>|2.81<br>|2.41<br>|2.27<br>|2.23<br>|2.18|
|na (excluding Taiwan)|2.58|2.37|2.18|2.11|2.10|2.10|2.09|2.08|2.08|
> xiii INTLoouarioN

> Table 12. _Total Fenillty Rate_ (connued)

|Country, economy, or regfon|1985-89|1990-94|1995-99|2000-04|2005*09|2010-14|2015-19|2020-24|2025-29|
|---|---|---|---|---|---|---|---|---|---|
|Taiwan,<br>China|1.95|<br>1.75|<br>1.75|<br>1.80|<br>1.86|<br>1.91|<br>1.95|<br>2.00|<br>2.05|
|Hong Kong<br>|1.45<br>|<br>1.45<br> <br>|<br>1.45<br>|<br>1.56|<br>1.67|<br>1.76|<br>1.86|<br>1.95|<br>2.03|
|Indonesla<br>|3.32<br>|<br>2.93<br> <br>|<br>2.58<br> <br>|<br>2.27<br> <br>|<br>2.16<br> <br>|<br>2.14<br> <br>|<br>2.13<br>|<br>2.11<br> <br>|2.09<br> <br>|
|Japan|1.68|<br>1.55|<br>1.55|<br>1.64|<br>1.73|<br>1.81|1.89|<br>1.96|<br>2.03|
|Korea,<br>Dem. People's<br>Rep. of<br> <br>|<br>2.50<br>|<br>2.22<br> <br>|<br>2.11<br> <br>|<br>2.10<br> <br>|<br>2.09<br>|<br>2.09|<br>2.08|<br>2.07|<br>2.07|
|Korea,<br>Rep. of<br>Lao People's<br>Oem Rep|1.80<br>669|<br>1.75<br> <br>669|<br>1.75<br> <br>639|<br>1.80<br> <br>579|<br>1.86<br> <br>519|<br>1.91<br> <br>459|<br>1.96<br>399|<br>2.00<br> <br>339|<br>2.05<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>2.97<br>|
|Macao<br>Malaysla|2.20<br>400|<br>2.09<br> <br>363|<br>2.09<br> <br>326|<br>2.08<br> <br>286|<br>2.08<br> <br>250|<br>2.08<br> <br>220|2.07<br>|<br>2.07<br> <br>|<br>2.07<br> <br>|
|<br>|.<br>|<br>.<br> <br>|<br>.<br> <br>|<br>.<br> <br>|<br>.<br>|<br>.|2.08|<br>2.08|<br>2.08|
|Mongolta|5.00|<br>4.49|<br>3.98|<br>3.47|<br>3.00|<br>2.59|2.24|<br>2.12|<br>210|
|Myarmar<br>|4.02<br>|<br>3.72<br> <br>|<br>3.17<br> <br>|<br>2.70<br> <br>|<br>2.29<br>|<br> <br>2.15|<br>2.13|<br> <br> <br>2.11|<br>.<br> <br>2.09|
|Philippines<br>Sinaore|3.94<br>185|<br>3.31<br> <br>185|<br>2.91<br> <br>|<br>2.55<br> <br>|<br>2.24<br> <br>|<br>2.13<br> <br>|2.11<br>|<br>2.10<br> <br>|<br>2.09<br> <br>|
|gp<br>|.|<br>.|<br>1.85|<br>1.89|<br>1.92|<br>1.95|1.99|<br>2.02|<br>2.05|
|Thailand|2.60|<br>2.25|<br>2.13|<br>211|<br>210|<br>210|209|<br>208|<br>208|
|Vfet Nam|<br>4.15|<br> <br> <br>3.57|<br> <br> <br>3.06|<br>.<br> <br>2.62|<br>.<br> <br>2.25|<br>.<br> <br>2.12|.<br>2.10|<br>.<br> <br>2.09|<br>.<br> <br>2.08|
|South Asia<br>|4.64|<br>4.13|<br>3.62|<br>3.26|2.94|2.66|2.53|<br>2.45|<br>2.37|
|Afghanistan<br>|6.90<br>|<br>6.90<br> <br>|<br>6.90<br>|6.90<br>|6.60<br>|6.00|5.40|<br>4.80|<br>4.20|
|Bangladesh|5.00|<br>4.25|3.50|3.12|2.79|2.49|2.37|<br>2.32|<br>2.26|
|Bhutan<br>|5.53<br>|<br>5.53<br> <br>|<br>5.53<br>|<br>5.23<br>|4.63<br>|4.03<br>|3.43|<br>3.04|<br>2.69|
|India|4.27|<br>3.74|3.22|2.88|2.57|2.29|2.19|2.15|<br>2.12|
|Iran, Islamic<br>Rep. of<br>|6.40<br>|<br>6.10<br> <br>|5.80<br>|5.50<br>|5.20<br>|4.90|4.60|4.30|<br>4.00|
|Maldives<br>Neal|6.50<br>586|<br>5.97<br> <br>556|5.43<br>496|4.90<br>|4.36<br>|3.83<br>|3.29<br>|2.88<br>|<br>2.52<br> <br>|
|p<br>|.<br>|<br>.<br> <br>|.<br>|4.36|3.76|3.23|2.78|2.39|<br>2.25|
|Pakistan|6.20|<br>5.60|5.00|4.40|3.80|3.35|2.95|259|<br>228|
|Sri Lanka|2.60|<br>2.23|2.10|2.09|<br>2.09|<br>2.09|<br>2.08|.<br>2.08|<br>.<br> <br>2.07|
|Southwest Asia<br>|5.05<br>|4.75<br>|4.37<br>|4.01|3.64|3.35|3.08|2.83|<br>2.60|
|Bahrain<br>|4.90<br>|4.55<br>|4.20<br>|3.85<br>|3.50<br>|3.15<br>|2.79<br>|2.46<br>|2.18<br>|
|CYprus<br>|2.35<br>|2.16|2.09|2.09|2.08|2.08|2.08|2.08|2.07|
|Gaza Strip<br>|6.76<br>|6.46<br>|5.86<br>|5.26<br>|4.66<br>|4.06<br>|3.46<br>|2.98<br>|2.57<br>|
|Iraq<br>Israel|6.35<br>301|6.05<br>270|5.45<br>242|4.85<br>217|4.25<br>208|3.65<br>207|3.10<br>207|2.64<br>207|2.24<br>2|
|<br>|.<br>|.<br>|.<br>|.<br>|.<br>|.<br>|.<br>|.<br>|.07<br>|
|Jordan (East Bank)|5.82|5.22|4.61|4.01|3.40|2.94|2.55|2.20|2.08|
|<br>Kuwait|386|311|275|244|216|<br>206|<br>20|<br>||
|<br>|.<br>|.<br>|.<br>|.<br>|.<br>|.<br>|.5<br>|2.05<br>|2.05|
|Lebanon<br>cnan|3.79<br>717|3.49<br>687|3.19<br>627|2.83<br>567|2.51<br>7|2.23<br>|2.12<br>|2.11<br>|2.09<br>|
|<br>|.<br>|.|.|.|5.0<br>|4.47<br>|3.87|3.27|2.86|
|Qatar<br>Sdf<br>Abi|5.84<br>|5.54<br>|4.94<br>|4.34<br>|3.74<br>|3.14<br>|2.78<br>|2.46<br>|2.17<br>|
|au<br>raa<br> <br>|7.17|6.87|6.27|5.67|5.07|4.47|3.87|3.27|2.86|
|Syrian<br>Arab Rep.<br>Tk|6.66<br>|6.36<br>|5.76<br>|5.16<br>|4.56<br>|3.96<br>|3.36<br>|2.92<br>|2.54<br>|
|urey<br>|3.73|3.31<br>|2.91|2.56|2.25|2.14|2.12|2.10|2.08|
|United Arab Emirates<br>|4.82<br>|4.37<br>|3.91<br>|3.46<br>|2.97<br>|2.56<br>|2.21<br>|2.08|2.07|
|West Bank<br>|5.75|5.45|4.85|4.25|3.65|3.09|2.62|2.22|2.08|
|Yemen, Rep. of|7.71|7.71|7.71|7.41|6.81|6.21|5.61|5.01|4.41|
|Europe and C.I.S.|2.04|1.99|1.96|1.98|2.00|2.01|2.02|2.04|2.06|
|Albania<br>|3.16<br>|2.81<br>|2.50<br>|2.22<br>|2.12<br>|2.11|2.10|2.09|2.08|
|Armenia<br>Atf|2.57<br>|2.23<br>|2.10<br>|2.09<br>|2.09<br>|2.08<br>|2.08<br>|2.07<br>|2.07<br>|
|usra<br>|1.50<br>|1.50<br>|1.50<br>|1.60|1.70|1.79|1.88|1.96|2.04|
|Azerbaijan<br>Bl|2.90<br>|2.54<br>|2.21<br>|2.10<br>|2.09<br>|2.09<br>|2.08<br>|2.07<br>|2.07<br>|
|earus<br>Belgfus<br>|2.21<br>1.55<br>|2.09<br>1.75<br>|2.09<br>1.80<br>|2.08<br>1.84<br>|2.08<br>1.89<br>|2.07<br>1.93<br>|2.07<br>1.97<br>|2.07<br>2.01|2.06<br>2.05|
|Bulgaria<br>|1.96|1.96|1.96|1.98|2.00|2.02|2.04|2.05|2.07|
|Charnel Islands<br>|1.65<br>|1.65<br>|1.65<br>|1.72<br>|1.79<br>|1.86<br>|1.92<br>|1.98<br>|2.04<br>|
|Czechoslovakia|2.00|2.00|2.00|2.01|2.02|2.04|2.05|2.06|207|
|Croatia<br>|1.85<br>|1.85<br>|1.85<br>|1.89<br>|1.93<br>|<br>1.96<br>|<br>2.00<br>|<br>2.04<br>|.<br>2.07|
|Demrk|1.55|1.70|1.75|1.81|1.86|1.91|1.95|200|205|
|Estonfa<br>|2.20|2.10|2.09|<br>2.08|<br>2.08|<br>2.08|<br>2.07|.<br>2.07|.<br>2.07|
|Finland<br>|1.75<br>|1.89<br>|1.91<br>|1.94<br>|1.96<br>|1.99<br>|2.01<br>|2.03<br>|2.06|
|France|1.82|1.82|1.82|1.86|1.90|1.94|1.98|2.01|2.05|
INTRODUCTION Xliii Table 12. _Toald Ferllity Rate_ (continued)

|Country, economy,orregion|1985-89|1990-94|1995-9<br>|2000-04|2005-09|2010-14|2015-19<br>|2020-24|2025-29|
|---|---|---|---|---|---|---|---|---|---|
|Georgio|2.17|2.11|2.10|2.09|2.08|2.08|2.07|2.07|2.06|
|<br>Germany|1.50|1.60|1.67|1.74|1.81|1.87|1.93|1.99|2.05|
|Greece|1.52|<br>1.52|<br>1.52|1.62|<br>1.72|<br>1.81|<br>1.89|<br>1.97|<br>2.05|
|Hungary|1.81|<br>1.81|<br>1.81|1.86|<br>1.90|<br>1.94|<br>1.99|<br>2.03|<br>2.07|
|Iceland|2.05|<br>2.08|<br>2.08|2.08|2.08|2.08|<br>2.08|2.07|<br>2.07|
|<br>Ireland|2.34|2.09|2.09|2.09|2.08|2.08|2.08|2.08|2.08|
|Italy|1.32|<br>1.32|<br>1.32|1.46|<br>1.59|<br>1.72|<br>1.83|<br>1.94|<br>2.04|
|Kazakhstan|3.04|2.61|2.23|2.10|2.09|2.09|2.08|2.08|<br>2.07|
|Kyrgyzstan|3.94|<br>3.52|<br>3.10|2.76|2.46|2.19|2.09|2.08|2.07|
|Latvia|2.03|2.03|2.03|2.04|2.04|2.05|2.05|2.06|2.06|
|Lithuania|2.00|2.00|2.00|2.01|2.02|2.03|2.04|2.05|2.06|
|Luxewbourg|1.45|<br>1.75|<br>1.80|1.84|<br>1.89|<br>1.93|<br>1.97|<br>2.01|<br>2.05|
|<br>Malta|2.08|2.08|2.08|2.08|2.08|2.08|2.09|2.09|<br>2.09|
|Noldova|3.10|2.63|2.23|2.09|2.09|2.08|2.08|2.07|<br>2.07|
|<br>Netherlands|1.56|1.70|1.75|1.81|1.86|1.91|1.95|2.00|2.05|
|Norway|1.80|<br>1.90|<br>1.92|1.95|<br>1.97|1.99|<br>2.02|2.04|<br>2.06|
|Poland|2.20|2.12|2.12|2.11|2.10|2.10|2.10|2.09|<br>2.09|
|Portugal|1.57|<br>1.57|<br>1.57|1.66|1.74|1.82|<br>1.90|1.98|<br>2.05|
|Romania|2.31|2.15|2.13|2.12|2.11|2.11|2.10|2.09|<br>2.09|
|Russian Federation|2.40|2.18|2.09|2.09|2.08|2.08|2.07|2.07|<br>2.06|
|Slovenia|1.70|1.70|1.70|1.77|1.83|1.89|<br>1.95|2.01|<br>2.06|
|Spain<br>|1.46<br>|<br>1.46<br> <br>|<br>1.46<br>|1.57<br>|1.68<br>|1.78<br>|1.88<br>|1.97<br>|<br>2.05<br> <br>|
|Sweden|1.90|<br>2.08|2.08|2.08|2.08|2.08|2.08|2.07|<br>2.07|
|Swftzerland|1.65|<br>1.75|<br>1.80|1.84|1.89|1.93|1.97|2.01|2.06|
|<br>Tajikistan|<br>5.10<br>|<br>4.80|4.20<br>|3.60|3.07|2.61|2.22|2.09|2.07|
|Turkmenistan|4.35|3.79|3.23|2.85|2.51|2.22|2.11|2.09|2.08|
|UnitedKingdom|1.82|1.92|1.94|1.96|1.98|2.00<br>|2.02|2.04|2.06|
|Ukraine|2.10|2.09|2.09|2.08|2.08|2.08|2.07|2.07|2.06|
|Uzbekistan<br>|4.29<br>|3.79<br>|3.30<br>|2.89<br>|2.52<br>|2.21<br>|2.09<br>|2.08<br>|2.07<br>|
|Yugoslavia<br>|2.10<br>|2.10|2.10|2.10|2.10|2.10|2.09|2.09|2.09|
|Other Europe|2.10|2.10|2.10|2.10|2.10|2.09|2.09|2.09|2.09|
|Oceania|2.46|2.45|2.37|2.31|2.25|2.18|2.11|2.09|2.10|
|Australfa|1.85|1.85|1.85|1.89|1.92|1.96|1.99|2.03|2.06|
|FiJi|3.25|2.87|2.53|2.23|2.12|2.11|2.10|2.10|2.09|
|French Polynesia|3.55|3.18|2.81|2.48|2.19|2.08|2.08|2.07|2.07|
|<br>duam|2.90|2.53|2.20|2.08|2.08|2.08|2.07|2.07|2.07|
|Kiribati|4.40|4.05|3.70|3.35|2.95|2.60|2.29|2.17|2.14|
|Micronesia<br>Fed States<br>of|5.00|4.50|4.00|3.50|3.00|2.58|2.21|2.08|2.07|
|,<br>.<br> <br>New Caledonia|<br>3.12|<br>2.65|<br>2.25|<br>2.11|<br>2.10|<br>2.09|<br>2.09|<br>2.08|2.07|
|<br>New Zealand|<br>200|<br>200|<br>2.00|<br>2.01|<br>2.02|<br>2.03|<br>2.04|2.05|2.07|
|<br>Papua New Guinea|.<br>5.25|.<br>4.95|<br>4.35|<br>3.75|<br>3.21|<br>2.75|<br>2.35|<br>2.21|2.19|
|<br>Solomon Islands|5.80|5.50|4.80|4.10|3.40|2.95|2.55|2.21|2.09|
|<br>Tonga|4.24|3.78|3.31|2.89|2.52|2.20|2.09|2.08|2.08|
|<br>Vanuatu|5.83|5.53|4.93|4.33|3.73|3.13|2.78|2.46|2.19|
|WesternSamo|4.84|4.54|3.94|3.34|2.91|2.54|2.21|2.10|2.08|
|Other Micronesfa|4.50|4.00|3.49|3.00|2.58|2.22|2.09|2.08|2.08|
|Other Polynesia|4.00|3.50|3.00|2.58|2.22|2.09|2.08|2.08|2.07|
# XIIV INTRODUCiON

Table **13.** _Estmata and Projectons of Life Expectanc at Birh for All Countis and Economies, 1985-90 to 2025-30, Males and Females Combined (yeas)_

|Country,<br>economy,<br>or region|1985-89|1990-94|1995-99|2000-04|2005-09|2010-14|2015-19|2020-24|2025-29|
|---|---|---|---|---|---|---|---|---|---|
|World|64.9|<br>66.1|<br>67.3|<br>68.6|<br>69.6|<br>70.6|<br>71.7|<br>72.9|<br>74.1|
|Africa|52.8|<br>S3.8|<br>5S.1|<br>56.3|<br>57.7|<br>59.2|<br>60.8|<br>62.4|<br>64.2|
|East Africa|52.0|<br>52.3|<br>53.1|<br>53.7|<br>55.2|<br>56.8|<br>58.5|<br>60.3|<br>62.2|
|Botswana<br>|66.7<br>|<br>67.8<br> <br>|<br>69.1<br> <br>|70.0|<br>70.9|<br>71.9|<br>72.9|<br>73.9|<br>75.0|
|Burundi<br>|47.2<br>|<br>46.5<br> <br>|<br>46.9<br> <br>|47.0<br>|<br>4.8<br> <br>|50.7<br>|<br>52.8<br>|<br>54.9<br>|<br>57.2|
|Comoros|54.0|<br>56.1|<br>58.3|60.6|<br>62.3|64.0|65.8|<br>67.7|<br>69.6|
|DJibouti<br>|47.0|<br>49.4|<br>51.8|53.7|<br>55.3|57.0|58.8|<br>60.6|<br>62.5|
|Ethiopia|47.1|<br>48.6|<br>50.4|52.1|<br>53.7|55.4|57.1|<br>589|<br>608|
|<br>Kenya<br>|58.5|<br>59.2|<br>59.7|<br>59.9|<br> <br> <br>61.4|<br>62.9|<br>64.5|<br>.<br>66.2|<br>.<br> <br>68.0|
|Lesotho<br>|55.1<br>|<br>56.8<br> <br>|<br>58.8<br> <br>|60.8<br>|62.1<br> <br>|63.4<br>|64.9<br>|66.3<br>|<br>67.9<br> <br>|
|Madagascar|50.3|<br>51.4|<br>52.9|54.5|<br>55.9|57.5|59.1|60.8|<br>62.5|
|Malawi<br>|47.1<br>|<br>46.0<br> <br>|<br>46.0<br> <br>|45.8<br>|47.7<br>|49.8<br>|51.9<br>|54.2<br>|<br>56.6<br> <br>|
|Mauritius|68.9|<br>70.4|<br>72.2|73.4|74.2|74.9|75.7|76.6|<br>77.4|
|Mozambique<br>|46.5<br>|<br>46.8<br> <br>|<br>47.9<br>|49.0|50.7|52.5|54.5|56.5|<br>58.6|
|Namibia|56.2|<br>58.4|<br>60.2|61.6|62.9|64.4|65.8|67.4|<br>69.0|
|Reunion<br>|71.1<br>|<br>72.8<br> <br>|<br>74.5<br>|76.0<br>|76.9<br>|77.7|78.6|<br>79.6|<br><br> <br>80.6|
|Rwanda<br>hll|48.8<br>|<br>47.7<br> <br>|47.9<br> <br>|47.6<br>|49.5<br>|51.5<br>|53.6<br>|55.8<br>|<br>58.1<br> <br>|
|Seycees|69.7|<br>71.4|<br>73.1|74.6|75.5|76.5|77.5|78.5|<br>79.7|
|Somalia|473|<br>488|505|523|539|556|573|591|<br>610|
|<br>South Africa|.<br>60.5|<br>.<br> <br>62.9|.<br>65.2|.<br>67.0|.<br>68.1|.<br>69.2|.<br>70.4|.<br>71.6|<br>.<br> <br>72.8|
|Swaziland<br>|55.5<br>|<br>57.2<br> <br>|59.1<br>|60.9<br>|62.2<br>|63.6<br>|65.1<br>|66.5<br>|68.1<br>|
|Tanzania<br>Uganda<br>|48.3<br>48.3<br>|<br>47.0<br> <br>46.0<br>|46.9<br>45.3|46.5<br>44.1|48.3<br>46.1|50.3<br>48.2|52.4<br>50.4|54.6<br>52.7|<br>56.9<br> <br>55.3|
|Zaire|52.0|<br>52.0|52.8|53.6|55.3|57.0|58.9|608|628|
|Zambia<br>|52.7|<br>47.8|<br>47.3|<br>46.1|<br>48.1|<br>50.3|<br>52.5|.<br>55.0|.<br> <br>57.7|
|Zimbabwe<br>|62.3<br>|<br>59.9<br> <br>|59.6<br>|59.6.<br>|61.2<br>|62.9<br>|64.7<br>|66.6<br>|68.6<br>|
|Other East Africa|54.0|<br>56.2|58.5|60.8|62.5|64.2|66.0|67.8|69.7|
|West Africa|50.0|<br>51.5|53.1|54.6|56.1|57.7|59.4|61.1|63.0|
|Angola<br>|44.5<br>|<br>46.8<br>|49.1|51.1|52.8|54.6|56.4|58.2|60.2|
|Benin|50.3|<br>50.6|50.8|50.2|52.0|539|559|579|601|
|Burkina<br>Faso|47.2|<br>47.9|<br>48.8|<br>49.4|<br>51.1|.<br>52.9|.<br>54.8|.<br>56.8|.<br>58.9|
|Cameroon<br>|56.2<br>|<br>57.5<br>|58.9<br>|60.0<br>|61.4<br>|62.9<br>|64.4<br>|65.9<br>|67.6<br>|
|Cape Verde|66.0|66.7|67.4|67.9|68.9|70.0|71.2|72.4|73.6|
|Central<br>African<br>Rep.<br>|49.9<br>|49.0<br>|49.2<br>|49.2|51.0|52.9|54.9|57.0|59.3|
|Chad|45.5|48.1|50.8|53.3|54.9|56.5|58.2|60.0|61.8|
|Congo, People's<br>Rep. of the<br>|52.6<br>|53.3|54.6|55.8|57.5|<br>59.2|<br>61.0|<br>62.8|64.8|
|Cote d'ivoire<br>il<br>i|55.8<br>|55.0<br>|55.3<br>|55.5<br>|57.1<br>|58.8<br>|60.6<br>|62.5<br>|64.5<br>|
|Equatora<br>Gunea|45.4|47.7|49.9|51.8|53.5|55.2|57.0|58.9|60.9|
|Gabon<br> <br>|52.4<br>|54.0<br>|55.9<br>|57.7<br>|59.2<br>|60.8<br>|62.3<br>|64.0<br>|65.7<br>|
|Gamifa,<br>The|43.4|44.8|46.2|47.6|49.3|51.1|53.0|54.9|56.9|
|Ghana<br>|54.0<br>|55.1<br>|56.6|57.9|59.4|60.9|62.5|64.1|65.8|
|Guinea|42.5|43.9|45.5|47.2|48.8|50.6|52.4|543|563|
|Gin-Bi|390|7|||<br>|<br>|<br>|.<br>|.<br>|
|ueassau<br>|.<br>|38.<br>|39.2<br>|39.3<br>|41.1<br>|43.0<br>|45.1|47.2|49.5|
|Liberia<br>Mlf|53.1<br>|55.1<br>|57.0<br>|58.5<br>|60.0<br>|61.5<br>|63.1<br>|64.8<br>|66.5<br>|
|a<br>|47.2<br>|48.4<br>|49.9|51.4|53.1|54.8|56.6|58.5|60.4|
|Mauritania<br>|45.9<br>|47.1<br>|48.6<br>|50.2<br>|51.8<br>|53.5<br>|55.3<br>|57.1<br>|59.0<br>|
|Niger|44.5|46.2|48.0|49.8|51.4|53.2|55.0|56.9|58.8|
|<br>Nigeria<br>|48.4<br>|50.2<br>|52.2<br>|54.0<br>|55.5<br>|57.2<br>|<br>58.9<br>|<br>60.6|62.5|
|Sao TomeardPrincipe|65.5|67.6|69.7|71.6|72.7|73.9|75.1|76.3|775|
|<br>Senegal<br>|46.6<br>|47.7<br>|49.1<br>|50.4|52.0|<br>53.7|<br>55.5|<br>57.4|.<br>59.4|
|Sierra Leone<br>T|40.9<br>|42.8<br>|44.8<br>|46.6<br>|48.3<br>|50.1<br>|51.9<br>|53.9<br>|55.9<br>|
|ogo<br>Other West Africa|53.0<br>604|54.1<br>631|55.4<br>656|56.5<br>680|58.0<br>700|59.6<br>722|61.3<br>74|63.0<br>|64.8<br>|
||.|.|.|.|.|.|.5|77.0|79.7|
|North Africa|590|608|627|646|660|||||
|<br>Algeria|.<br>640|.<br>664|.<br>686|.<br>708|.<br>720|67.4<br>732|68.9<br>745|70.5<br>758|72.1<br>771|
|<br>Egypt, Arab Rep. of|.<br>59.0|.<br>61.0|.<br>63.1|.<br>65.2|.<br>66.7|.<br>68.3|.<br>69.9|.<br>71.5|.<br>73.2|
INTRODUCTION XIV

> Table 13. _Lif Expectancy at Birth_ (continued)

|Country* econrmy, or region|1985-89|1990-94|1995-99|2000-04|2005-09|2010-14|2015-19|2020-24|2025-29|
|---|---|---|---|---|---|---|---|---|---|
|**Llbya**<br>Morocco|60.8<br>608|63.5<br>25|66.0<br>|68.4<br>|69.7<br>|71.0<br>|72.4<br>|73.8<br>|75.3<br>|
|<br>Sudan|.<br>49.7|6.<br>50.8|64.3<br>52.1|66.3<br>53.3|67.7<br>54.9|69.2<br>56.6|70.7<br>583|n.3<br>601|73.9<br>620|
|Tunisia<br>|65.7<br>|67.4|69.2|70.9|<br>72.1|<br>73.3|.<br>74.6|.<br>75.9|.<br>77.3|
|Other North**Afreca**|47.5|49.5|<br>51.7|54.1|55.9|57.9|59.9|61.9|64.|
|America|70.3|71.6|<br>72.9|<br>74.2|75.1|76.0|77.0|78.0|79.1|
|Latfn America and Caribbean<br>Ai|66.8<br>|68.4<br>|70.0<br>|71.6<br>|72.7<br>|73.8<br>|75.0<br>|76.2<br>|77.5|
|ntgua and Barbuda<br>**Arentina**|73.1<br>706|74.2<br>717|75.4<br>729|76.5<br>742|77.3<br>|78.2<br>|79.0<br>|80.0<br>|80.9<br>|
|<br>Bahamas,<br>The<br>Barbados|.<br>67.9<br>743|.<br>69.6<br>756|.<br>71.3<br>769|.<br>73.0<br>71|75.1<br>74.0<br>|76.1<br>75.1<br>|77.2<br>76.2<br>|78.3<br>77.4<br>|79.4<br>78.6<br>|
|<br>|.<br>|.<br>|.<br>|8.<br>|78.8<br>|79.5|80.2|81.0|81.8|
|**Belize**<br>**Bolivia**|66.7<br>588|68.7<br>607|70.6<br>27|72.4<br>|73.5<br>|74.6<br>|75.8<br>|77.0<br>|78.2<br>|
|<br>|.<br>|.<br>|6.<br>|64.8<br>|66.2<br>|67.7|69.2|70.7|72.4|
|Brazil<br>**Chite**|64.9<br>715|67.1<br>|69.1<br>|71.1<br>|72.2<br>|73.4<br>|74.7<br>|75.9<br>|77.3<br>|
|<br>|.<br>|n.3<br>|73.3<br>|74.4<br>|75.3<br>|76.3|77.3|78.4|79.6|
|Coloobfa<br>Costa Rica|68.2<br>746|69.2<br>755|70.4<br>4|71.7<br>|72.8<br>|74.0<br>|75.2<br>|76.5<br>|77.8<br>|
|<br>|.<br>|.<br>|76.|77.4|78.2|78.9|79.8|80.6|81.5|
|Cuba<br>Dff|75.2<br>|76.3<br>|77.3<br>|78.4<br>|79.1<br>|79.8<br>|80.5<br>|81.2<br>|82.0|
|omnea<br>|74.1|75.4|76.7|77.9|78.6|79.4|80.2|81.0|818|
|Dominican Rep.|660|677|695|712|724|736|<br>748|<br>761|.<br>4|
|<br>Ed|.<br>|.<br>|.<br>|.<br>|.<br>|.<br>|.<br>|.<br>|77.<br>|
|cuaor<br>|65.5|66.5|67.9|69.3|70.6|71.9|73.2|74.6|76.1|
|EL Salvador<br>|62.2<br>|64.5<br>|66.8<br>|69.0<br>|70.3<br>|71.6<br>|n.9|<br>74.3|75.8|
|**Grenada**<br>GuadeLoue|68.6<br>735|70.5<br>750|72.3<br>|74.0<br>|75.0<br>|76.0<br>|77.0<br>|78.1<br>|79.3<br>|
|p<br>L|.<br>|.<br>|76.4<br>|77.6<br>|78.4<br>|79.1<br>|79.9<br>|80.8|81.6|
|Guatemaa<br>GuYana|62.0<br>632|63.9<br>648|65.8<br>|67.8<br>|69.1<br>|70.5<br>|71.9<br>|73.4<br>|74.9<br>|
|<br>|.<br>|.<br>|66.6<br>|68.4<br>|69.7|71.0|72.4|73.9|75.4|
|Haiti|54.0|54.6|54.2|532|550|568|587|607|629|
|onrduras|640|<br>655|<br>1|.<br>|.<br>|.<br>|.<br>|.<br>|.<br>|
|<br>|.<br>|.<br>|67.<br>|68.8|70.1|71.4|72.8|74.2|75.7|
|**Jaafea**<br>Nartfnfue|72.6<br>753|73.6<br>|74.7<br>|75.9<br>|76.7<br>|77.6<br>|78.6<br>|79.5<br>|80.6<br>|
|q<br>|.<br>|76.6<br>|77.9<br>|79.0|79.7|80.3|81.0|81.7|82.4|
|**Mexfco**<br>Ntt|68.9<br>|70.2<br>|71.6<br>|73.0<br>|74.1<br>|75.2<br>|76.3<br>|77.5<br>|78.7<br>|
|onserra<br>|69.8|71.7|73.4|75.0|75.9|76.9|77.8|78.9|79.9|
|NetherlandsAntilLes|760|776|790|802|807|813|819|||
|<br>**Ni**|.<br>|.<br>|.<br>|.<br>|.<br>|.<br>|.<br>|82.4<br>|83.0<br>|
|**caragua**<br>|63.3|65.7|68.0|70.2|71.4|72.7|74.0|75.3|768|
|Panam|721|731|742|753|762|772|<br>781|<br>2|.<br>|
|<br>P|.<br>|.<br>|.<br>|.<br>|.<br>|.<br>|.<br>|79.<br>|80.2|
|araguay<br>|66.9|67.6|68.6|69.8|71.0|72.2|73.5|749|764|
|Peru<br>|61.4<br>|63.6<br>|65.8<br>|67.9<br>|69.2<br>|70.6<br>|<br>n.o|.<br>73.5|.<br>75.0|
|St.**IKftts**and Nevis<br>St Lucia|68.5<br>705|70.4<br>722|72.3<br>|74.0<br>|75.0<br>|76.0<br>|77.1<br>|78.2<br>|79.3<br>|
|.<br>|.<br>|.<br>|73.9<br>|75.5<br>|76.3<br>|77.3|78.2|79.2|80.2|
|St. Vincent and the**Grenadine**<br>Suriname|69.2<br>667|71.1<br>686|72.9<br>|74.5<br>|75.4<br>|76.4<br>|77.4<br>|78.5<br>|79.6<br>|
|<br>Trinidad and Tobago|.<br>70.2|.<br>716|70.6<br>730|72.4<br>744|73.4<br>754|74.6<br>764|75.7<br>774|76.9<br>785|78.2<br>796|
|<br>Uruua|<br>**720**|.<br>|.<br>|.<br>|.<br>|.<br>|.<br>|.<br>|.<br>|
|gy<br>**Venezuela**|**.**<br>697|73.7<br>704|75.2<br>715|76.7<br>726|77.5<br>737|78.3<br>748|79.2<br>759|80.1<br>|81.0<br>|
|<br>Vii|.<br>|.<br>|.<br>|.<br>|.<br>|.<br>|.<br>|77.1<br>|78.4|
|rgn Islands (U.S.)<br>|73.1|74.8|76.3|77.8|78.5|79.3|80.0|80.8|817|
|Other Latin**America**|66.5|68.1|69.6|70.9|71.4|71.9|<br>72.5|<br>73.0|.<br>73.5|
|Northern America<br>|75.7<br>|76.7<br>|77.8<br>|78.8<br>|79.5<br>|80.2|80.9|81.6|82.3|
|**Canada**<br>Puerto Rico|76.7<br>749|77.8<br>|79.0<br>|80.0<br>|80.5<br>|81.1<br>|81.7<br>|82.3<br>|82.9<br>|
|<br>United States of Amerfea|.<br>75.4|76.3<br>76.5|77.5<br>77.5|78.7<br>786|79.4<br>792|80.1<br>799|80.8<br>806|81.5<br>814|82.3<br>821|
|Other Northern America|69.7|<br>71.0|<br>n.1|.<br>73.1|.<br>73.5|.<br>73.8|.<br>74.1|.<br>74.5|.<br>74.9|
|sia|63.9|65.3|66.9|68.5|69.6|70.8|72.1|73.5|74.9|
|East**and**Southeast**Asia**<br>**runef**|68.4<br>744|69.8<br>762|71.2<br>778|72.7<br>791|73.7<br>|74.7<br>|75.8<br>|77.0<br>|78.3<br>|
|<br>|.<br>|.<br>|.<br>|.<br>|79.7<br>|80.4|81.0|81.7|82.4|
|Cambodia<br>Chi ldi**Tif**|48.4<br>|51.6<br>|54.9<br>|58.0<br>|59.8<br>|61.6<br>|63.5<br>|65.4<br>|67.5<br>|
|na (excung**aan)**|69.5|70.6|71.9|73.3|74.3|75.4|76.5|77.7|78.9|
xM **INTRODUCTION** Table 13. _Life Expectancy_ **_at_** _Birth_ (continued)

|Country, economy,<br>or region|1985-89|1990-94|1995-99|2000-04|2005-09|2010-14|2015-19|2020-24|2025-29|
|---|---|---|---|---|---|---|---|---|---|
|Taiwan,<br>China<br>H K|74.0<br>770|74.9<br>|75.9<br>|77.0<br>|77.8<br>|78.6<br>|79.4<br>|80.3<br>|81.2<br>|
|ong ong<br>|.<br>|78.2<br>|79.3<br>|80.3<br>|80.8<br>|81.4<br>|81.9<br>|82.5<br>|83.1<br>|
|Indonesia<br>Japan<br>|60.2<br>78.2|63.0<br>79.2|65.6<br>80.2<br>|68.1<br>81.1|69.4<br>b1.6|70.7<br>82.1|_72.1_<br>82.6|73.6<br>83.1|75.2<br>83.6|
|Korea, Dem. People's Rep. of<br>|69.4<br>|71.3<br>|73.1<br>|74.8<br>|75.7<br>|76.7<br>|77.7<br>|78.7<br>|79.8<br>|
|Korea, Rep. of<br>|69.3|70.8|72.4<br>|74.0<br>|74.9<br>|75.9|77.0|78.1|79.3|
|Lao**Peopleos**<br>Dem.<br>Rep.<br>|48.5<br>|<br>50.2<br> <br>|52.1<br> <br>|54.2<br>|56.1<br>|58.0<br>|59.9<br>|62.0<br>|_64.2_<br> <br>|
|Mbaco<br>Malaysia<br>|70.8<br>69.2<br>|<br>73.1<br>70.5<br>|<br>75.1<br>71.8<br>|76.8<br>73.2<br>|77.6<br> <br>74.2<br>|78.4<br>_75.3_<br>|79.3<br>76.4<br>|80.2<br>77.6<br>|<br>81.1<br>78.8<br>|
|**Mongolia**|61.2|63.5|65.7|67.9|69.2|70.6|_72.0_|73.5|75.0|
|<br>Nyaanr<br>|60.0<br>|62.4<br>|_64.7_<br>|66.9<br>|68.3<br>|69.8<br>|71.3|_72.8_<br>|74.5<br>|
|Philippines|63.4|65.0|66.6|68.3|69.6|70.9|_723_|738|753|
|<br>Singapore<br>|73.5<br>|<br> <br>74.8<br>|<br>76.1<br>|<br>77.3<br>|<br>78.0<br>|<br>78.8|_._<br>79.6<br>|.<br>80.5|.<br>81.4<br>|
|Thailand<br> <br>|65.0<br>|66.9<br>|68.8<br>|70.7<br>|71.8<br>|73.0<br>|<br>74.3<br> <br>|75.6<br> <br>|<br>77.0<br> <br>|
|Viet<br>**Nam**|65.8|67.1|68.6|70.1|71.3|72.6|<br>73.8|<br>75.2|<br>76.6|
|South<br>Asia<br>|57.0<br>|<br>58.7|60.6<br>|62.5|_64.1_|65.6|67.3|69.0|70.8|
|Afghanistan<br>|41.5<br>|42.2<br>|<br>43.4<br>|_44.9_<br>|46.7<br>|48.7<br>|50.7<br>|52.8<br>|55.1<br>|
|Bangladesh|50.8|52.1|53.8|55.8|57.6|59.5|61.4|63.4|65.5|
|Shuten<br>**Idi**|47.9<br>|49.1<br>|50.7<br>|52.5<br>|54.4<br>|56.3<br>|58.3<br>|60.4<br>|62.6<br>|
|**na**<br>|57.9|59.8|61.8|63.9|65.4|66.9|68.5|70.2|71.9|
|Iran,**Islamic**<br>Rep.<br>of<br>|62.0<br>|63.6<br>|65.3<br>|67.1<br>|68.5<br>|69.9<br>|71.4<br>|72.9<br>|<br>74.5<br> <br>|
|Maidives<br>Nepal<br>|60.4<br>51.0<br>|62.5<br>52.6<br>|_64.5_<br>54.6<br>|66.6<br>56.8<br>|68.0<br>58.5<br>|69.5<br>60.4<br>|71.0<br>62.3<br>|72.5<br>_64.3_<br>|<br>74.2<br>66.3<br>|
|Pakistan|55.0|56.3|57.9|59.7|61.4|63.2|65.0|66.9|68.8|
|Sri Lanka|70.3|71.6|73.0|74.4|75.3|<br>76.3|<br>77.3|<br>78.4|79.6|
|Southwest Asia<br>|_64.1_<br>|65.3<br>|67.2<br>|68.8<br>|69.9<br>|71.0|72.2|73.5|74.9|
|Bahrain<br>|68.3<br>|69.6<br>|71.0<br>|72.5<br>|73.6<br> <br>|74.7<br>|75.8<br>|<br>77.1<br>|<br>78.3<br>|
|Cyprus<br>|75.7<br>|76.9|78.1|79.1|<br>79.8|80.4|81.1|81.8|82.5|
|Gaza Strip<br>|63.0<br>|_64.9_<br>|66.9<br>|68.9<br>|70.1<br>|71.4<br>|72.8<br>|<br>74.2<br> <br>|75.8<br> <br>|
|Iraq|63.9|62.4|66.5|68.1|69.4|70.8|72.2|<br>73.7|<br>75.2|
|<br>Israel<br>|75.6<br>|76.6<br>|77.6<br>|<br>78.6<br>|79.3<br>|80.0<br>|80.7<br>|<br>81.4<br>|82.1<br>|
|Jordan (East Bank)<br>|65.9|68.1|70.1|72.0|73.1|74.2|75.4|76.7|_77.9_|
|<br>Kuwait<br>|73.3<br>|74.7<br>|76.0<br>|77.3<br>|78.0<br>|78.8<br>|79.6<br>|80.5<br>|Z1.4<br>|
|**Lebanon**<br>Oman<br>|65.0<br>63.9<br>|65.7<br>66.8<br>|66.8<br>69.3<br>|68.1<br>71.6<br>|69.4<br>72.7<br>|70.7<br>73.8<br>|_n.1_<br>75.0<br>|73.6<br>76.3<br>|75.2<br>77.7<br>|
|Qatar<br>Sdi Abi|69.3<br>64|70.8<br>|_n.4_<br>|74.0<br>|74.9<br>|76.0<br>|77.0<br>|78.1<br>|79.3<br>|
|au raa<br>|3.<br>|65.2<br>|67.0<br>|68.8<br>|70.1|71.4<br>|72.8|74.2|75.7|
|Syrian Arab Rep.<br>Tk|65.0<br>|66.8<br>|68.7<br>|70.5<br>|71.7<br>|73.0<br>|74.2<br>|75.6<br>|76.9<br>|
|urey<br> <br>|65.6|67.3<br>|69.0<br>|70.8|72.0|73.2|74.4|75.7|77.1|
|United<br>Arab Emirates<br> Bank|70.7<br>|72.0<br>|73.4<br>|74.8<br>|75.7<br>|76.7<br>|77.7<br>|78.8<br>|79.9<br>|
|West <br>|65.9|67.4|69.1|70.7|_71.8_|73.1|74.3|75.6|77.0|
|Yemen, Rep. of|47.8|48.9|50.3|52.1|53.9|55.8|57.9|60.0|62.2|
|Europe and C.I.S.|73.1|74.4|75.7|76.9|77.6|78.4|79.2|80.1|81.0|
|**Albania**<br>|71.7<br>|72.8<br>|74.0<br>|75.2|76.1|77.1|78.1|79.1|80.1|
|Armenia<br>|71.5<br>|73.1<br>|74.6<br>|76.0<br>|76.9<br>|77.7<br>|78.7<br>|79.6<br>|80.6<br>|
|Austria<br>|75.1<br>|76.6|77.9<br>|79.1|79.7|80.4|81.1|81.8|82.5|
|Azerbafjan<br>|70.0<br>|71.6<br>|73.2<br>|74.6<br>|75.5<br>|76.5<br>|77.5<br>|78.6<br>|79.7<br>|
|Belarus<br>**Belgium**<br>|72.1<br>75.4<br>|73.7<br>76.8<br>|75.1<br>78.0<br>|76.4<br>79.1<br>|77.3<br>79.7<br>|78.1<br>80.4<br>|79.0<br>81.1<br>|79.9<br>81.8<br>|80.9<br>82.5<br>|
|Bulgaria|72.0|73.1|74.2|75.5|76.3|77.2|78.2|79.2|80.3|
|<br>**Channel**Islands<br>|76.2<br>|77.4<br>|78.5<br>|79.5<br>|80.1<br>|80.7<br>|81.4<br>|<br>82.0<br>|82.7<br>|
|Czechoslovakia|71.2|71.8|72.7|73.7|74.7|757|768|779|791|
|Croatia<br>|<br>71.6<br>|<br>73.5<br>|<br>75.3<br>|<br>76.8<br>|<br>_7r.6_|.<br>78.4<br>|.<br>79.3|.<br>80.2<br>|.<br>81.1|
|**Denmark**|748|75.6|765|775|782|790|798|806|815|
|<br>Estonia<br>**Ffnland**|.<br>69.9<br>749|<br>71.9<br>761|.<br>73.7<br>772|.<br>75.4<br>783|.<br>76.3<br>790|.<br>77.2<br>797|.<br>78.1<br>804|.<br>79.1<br>812|.<br>80.2<br>820|
|<br>France|.<br>76.1|.<br>77.3|.<br>78.5|.<br>79.5|.<br>80.1|.<br>80.8|.<br>81.4|.<br>82.0|.<br>82.7|
INTRODUCTION XIvii Table 13. _Life Epec:tancy at Birth_ (continued)

|Country,econowy, orregion|1985-89|1990-94|1995-99|2000-04|2005-09|2010-14|2015-19|2020-24|2025-29|
|---|---|---|---|---|---|---|---|---|---|
|Georgia|71.5|73.0|74.4|75.8|76.7|77.6|785|795|805|
|<br>Germny<br>|75.3<br>|<br>76.8<br>|<br>78.2<br>|<br>79.4<br>|<br>80.0<br>|<br>80.7<br>|.<br>81.3<br>|.<br>82.0<br>|.<br>82.6<br>|
|Greece<br>|76.4<br>|77.6<br>|78.7<br>|79.8<br>|80.4<br>|81.0<br>|81.6<br>|82.2<br>|82.8<br> <br>|
|Hungary|70.2|71.0|72.1|73.3|74.3|75.3|764|_776_|<br>788|
|<br>Icetand|77.5|<br>78.4|<br>79.2|<br>80.1|<br>80.6|<br>81.2|.<br>81.8|_._<br>82.4|<br>.<br>83.0|
|Ireland|73.8|74.7|75.8|76.9|_77.7_|78.5|79.3|80.2|81.2|
|Itaty|76.8|77.9|78.9|79.9|80.4|81.0|81.6|82.2|82.9|
|<br>Kazakhstan|67.4|69.1|70.7|72.4|73.4|74.5|75.6|76.8|78.0|
|Kyrgypstan<br>|68.0<br>|69.3<br>|70.8<br>|72.2<br>|73.3<br>|74.4|75.5|<br>76.7|78.0|
|Latvia<br>|69.9|71.9|73.7|75.4<br>|76.2|77.1|78.1|79.1|80.1|
|Lithuania|71.1|73.0|74.8|76.3|77.1|78.0|78.9|79.8|80.8|
|Luxembourg|74.3<br>|75.4<br>|76.4<br>|77.5|78.2|79.0|79.8|80.7|81.5|
|**Matta**|72.7|73.8|75.0|76.2|77.0|77.9|78.8|79.7|80.7|
|Notdova<br>|68.1<br>|69.5<br>|71.0<br>|72.5<br>|73.6<br>|74.6<br>|75.8<br>|<br>77.0<br>|78.2<br>|
|NotherLands|76.6|77.4|78.2|79.1|79.7|80.4|81.0|81.7|82.5|
|Norway<br>|76.8|77.6|78.5|79.4|80.1|80.7|81.3|82.0|82.7|
|Poland<br>|70.9<br>|71.5<br>|72.3|73.3|74.3|75.4|76.5|77.6|78.9|
|Portugat<br>|74.1|75.5|76.7|77.9|78.7|79.4|80.2|81.0|81.8|
|Romania<br>|69.2<br>|69.8<br>|70.8|71.9|73.0|74.1|75.3|76.5|77.9|
|Russian Federation|70.1|72.2|74.0|75.7|76.5|77.4|78.4|79.3|80.3|
|Slovenia<br>|72.3<br>|74.2<br>|75.8<br>|77.4<br>|78.1<br>|78.9<br>|79.7<br>|80.6<br>|81.5|
|**SpaIn**<br>|75.9<br>|76.4<br>|77.1<br>|78.0<br>|78.7<br>|79.4<br>|80.2<br>|81.0<br>|81.8<br>|
|Sweden|77.1|77.9|78.8|79.6|80.2|80.8|81.4|821|827|
|Switzertand|77.3|<br>78.4|<br>79.5|<br>80.4|<br>81.0|<br>81.5|<br>82.1|.<br>82.6|.<br>83.2|
|Tajikistan|68.4|69.6|70.9|72.3|<br>73.4|<br> <br>74.5|<br>75.7|<br>76.9|78.1|
|<br>Turkmenistan|64.8|66.4|68.1|69.8|71.0|72.3|<br>73.6|<br>74.9|76.3|
|United<br>**Kingdom**|75.0|<br>76.0|77.0|78.1|<br>78.8|79.5|80.3|81.0|81.8|
|<br>Ukraine|71.7|<br>73.0|<br>74.3|75.7|<br>76.5|77.4|78.4|79.3|80.4|
|Uzbekistan|67.9|69.3|70.8|72.3|73.4|<br>74.5|<br>75.6|<br>76.8|78.1|
|Yugostavig<br> <br>|70.4<br>|72.0<br>|<br>73.6<br>|<br>75.1<br> <br>|<br>76.0<br>|<br>**1'7.**<br>|**0**78.0<br>|79.0<br>|<br>80.1|
|Other<br>Europe|74.9|75.3|75.7|<br>76.0|76.1|76.3|76.4|76.5|76.7|
|Oceania|71.9|72.9|<br>73.9|<br>74.9|75.7|<br>76.4|77.3|<br>78.2|79.1|
|Austratia|76.1|77.1|78.1|79.0|79.7|80.3|81.0|81.7|82.4|
|Fiji|63.8|65.3|67.0|68.7|69.9|71.2|72.6|<br>74.1|75.6|
|French<br>Polynesia|71.7|<br>73.1|<br>74.5|75.8|<br>76.7|77.6|<br>78.5|79.5|80.5|
|Gums|72.1<br>|<br>73.4|<br>74.8|76.1|77.0|<br>77.8|<br>78.7|79.7|80.7|
|Kirfbati|53.9|56.0|58.2|60.5|62.1|63.8|65.6|67.5|69.5|
|**Micronesia,**<br>Fed. States<br>of|70.0<br>|70.8<br>|71.9|73.1|74.1|75.2|<br>76.3|77.5|78.7|
|New Catedonia|679|698|717|734|<br>744|754|765|777|<br>789|
|<br>**New**Zeatand|.<br>74.8|.<br>75.8|.<br> <br>76.9|.<br>78.0|<br>.<br>78.7|.<br>79.4|.<br>80.2|.<br>81.0|<br>.<br>81.8|
|Papua<br>**New Gufnea**|53.9|55.2|56.9|58.7|60.3|<br>62.1|<br>63.9|<br>65.9|68.0|
|<br>Solomon<br>Islands|63.3|65.3|67.4|69.4|70.6|71.9|<br>73.3|<br> <br>74.6|76.1|
|Tongs|65.7|67.9|69.9|71.9|73.0|<br>74.1|75.3|<br>76.6|77.9|
|<br>Vanuatu|63.4|65.2|67.2|69.0|70.3|71.6|<br>73.0|<br> <br>74.4|75.8|
|**Western**<br>Samoa|65.4<br>|66.6<br>|68.0|69.5|70.8|72.0|<br>73.4|<br>74.7|76.2|
|Other<br>**Nicronesia**|66.9|68.6|70.3|72.0|<br>73.1|<br>74.2|75.4|<br>76.7|78.0|
|Other<br>Polynesia|69.7|71.3|72.8|<br>74.3|75.3|76.3|77.3|78.4|79.5|
XMiI INOWUnON Table 14. _Esdma and Piojeclon of Infant Mortaky Rat for All CounWa and Econorcs, 1985-90 to 2025-30 wper tikousand le bbhs)_

|Country,<br>econowy,<br>or regfon|1985-89|1990-9|4 1995-99|**2n0-4**<br>200S-092010-1|42015-19 2020-24|2025-29|
|---|---|---|---|---|---|---|
|**World**|69|62|<br>56|so<br>45<br>40|<br>35<br>29|<br>24|
|Africa|105|<br>96|<br>69|79<br>74<br>68|<br>62<br>56|<br>49|
|East Africa|109|<br>104|<br>97|8r<br>so<br>74|<br>68<br>62|<br>55|
|Botawana<br>**Bdi**|42<br>110|35<br> <br>105|<br>29<br> <br>96|24<br>22<br>20<br>8<br>76<br>73|<br>18<br>16<br> <br> <br>61|<br>14<br> <br>|
|**urun**|<br>|<br>|<br>|<br> <br> <br>|<br>67<br> <br> <br>|<br>55<br> <br>|
|Conoros<br>|99<br>|87<br> <br>|<br>75<br> <br>|63<br>sT<br>so<br> <br> <br>|44<br>37<br> <br> <br>|<br>31<br> <br>|
|Djibouti|122|<br>**111**|<br>**99**|s<br>so<br>73|<br>67<br>60|<br>53|
|Ethiopia<br>|137<br>|<br>126<br> <br>|<br>**ll**<br>|105<br>97<br>69<br> <br> <br> <br>|<br>61<br>73<br> <br> <br>|<br>65<br> <br>|
|Kenya|72|<br>6|56|<br>49<br>44<br>40|<br>36<br>31|<br>27|
|Lesotho<br>|100<br>|<br>89<br>|<br>76<br>|66<br>60<br>54<br> <br> <br>|<br>48<br>43<br> <br> <br>|37<br>|
|Nadagascar|120|113|103|91<br>64<br>77|<br>70<br>63|56|
|Nalawf|150<br>|149<br>|143<br>|<br>133<br>122<br>112<br> <br> <br>|<br>101<br>90<br> <br>|<br>80|
|**Mauritius**|23|19|15|13<br>12<br>11|<br>10<br>9|8|
|Nozwbique|141|<br>135|<br>125|<br>112<br>104<br>95|<br>86<br>78<br>|69|
|Nmibfa|106|<br>96|<br>66|<br>75<br>66<br>61|<br>54<br>47|40|
|<br>Reunion|<br>14|<br> <br>12|<br> <br> <br>10|<br> <br> <br> <br>a<br>a<br>7|<br> <br> <br> <br>6<br>5|4|
|Rwanda<br>|122|119<br>|111<br>|<br>100<br>92<br>84<br> <br> <br>|<br>77<br>69<br> <br>|61|
|**Seycheltes**<br>|**18**|16|14|11<br>10<br>9|7<br>6|5|
|<br>Somtls<br>|132<br>|122<br>|<br>109<br>|97<br>89<br>82<br> <br>|<br>75<br>68<br>|<br>61<br>|
|South**Africa**|72|61|52|43<br>39<br>35|31<br>27|<br>23|
|Swaziland<br>|116<br>|<br>108|<br>97|<br>85<br>_77_<br>69<br> <br>|<br>61<br>54|46<br>|
|Tanzania<br>-ganda|115<br>115|115<br> <br>118|<br>108<br> <br>113|<br>96<br>91<br>84<br> <br>103<br>96<br>86<br> <br>|<br>76<br>69<br> <br>80<br>72|<br>62<br> <br>5|
|Zefre<br>|**98**<br>|91<br>|6l<br> <br>|70<br>64<br>58<br> <br> <br>|53<br>47<br> <br> <br>|41<br> <br>|
|Zambia|**80**|84|<br>84|73<br>67<br>61|<br>54<br>48|<br>42|
|Zfmbebwe<br>|52|47|43|36<br>32<br>29<br>|26<br>23<br> <br>|20<br>|
|Other East Afrfca|99|87|<br>7S|63<br>57<br>50|44<br>37|30|
|West Afrfca|113|<br>103|<br>93|82<br>76<br>70|<br>64<br>58|<br>52|
|Angola<br>Benin|137<br>116|<br>125<br> <br>111|<br>112<br> <br>104|99<br>92<br>6s<br>95<br>7<br>79|<br>77<br>70<br> <br>72<br>64|63<br> <br>57|
|<br>Burkina Faso|<br>138|<br> <br>132|<br> <br>123|<br> <br> <br>112<br>104<br>95|<br> <br> <br>87<br>78|<br><br>69|
|Cameroon<br>|94<br>|85<br>|74<br>|64<br>5<br>52<br> <br> <br>|47<br>41<br> <br>|35<br>|
|Cape Verde|44|39|33|2S<br>26<br>23|21<br>18|16|
|<br>Central African Rep.<br>|104<br>|99<br>|90<br>|80<br>74<br>68<br> <br> <br>|<br>62<br>56<br> <br>|50|
|Chad|132|120|107|94<br>6<br>80|73<br>65|58|
|<br>Congo, People's Rep. of the|<br>119|<br>114<br>|<br>104<br>|<br> <br> <br>94<br>aS<br>77|<br> <br>69<br>60|52|
|Cote d*vofre<br> <br>|96<br>|94<br>|86<br> <br>|75<br>69<br>62<br> <br> <br>|55<br>48<br> <br> <br>|42<br> <br>|
|Equatorfal<br>Guinea|127|116|<br>104|92<br>a5<br>78|<br>71<br>64|<br>58|
|Gabon<br>|103<br>|93<br>|<br>e1<br>|69<br>63<br>S7<br> <br> <br>|<br>51<br>46<br> <br>|<br>40<br>|
|Gamble, The|143|132|120|107<br>100<br>92|85<br>78|70|
|Ghana<br>|90<br>|81<br>|71<br>|61<br>S6<br>51<br> <br> <br>|46<br>40<br>|35|
|Guinea|145|133|121|107<br>100<br>94|8T<br>80|73|
|<br>Guinea-Bissau|<br>151|<br>14?|<br>136|<br> <br> <br>126<br>118<br>111|<br> <br>104<br>97|90|
|Lfberfa<br>|142<br>|132<br>|120<br>|10S<br>90<br>a8<br> <br> <br>|78<br>6B<br> <br>|<br>58<br>|
|MaLf<br>Mauritania|_169_<br>127|164<br>117|1ST<br>106|149<br>136<br>124<br>93<br>6r<br>80|112<br>100<br>74<br>68|87<br> <br>61|
|<br>Niger|<br>135|<br>123|<br>111|<br> <br> <br>9S<br>91<br>84|<br> <br>77<br>71|<br><br>64|
|<br>Nii|105||<br>83|71<br>66<br>61|56<br>51|46|
|gera<br>||94.|<br>|<br> <br>|<br>||
|Sao Tme and Prifncipe<br>|74<br>|65<br>|56<br>|46<br>38<br>30<br> <br> <br>|22<br>14<br> <br>|<br>6<br> <br>|
|Senegal|87|76|66|56<br>S2<br>49|46<br>43|<br>40|
|SierraLeone|154|142|130|117<br>109<br>102|94<br>86|78|
|<br>Togo<br>Other<br>est Afrfc|<br>94<br>72|<br>84<br>61|<br>74<br>51|<br> <br> <br>63<br>**58**<br>53<br>42<br>34<br>27|<br> <br>48<br>42<br>19<br>12|37<br>4|
|North Africa<br>Aleria|S0<br>74|70<br>62|60<br>51|51<br>45<br>40<br>41<br>35<br>28|34<br>28<br>21<br>14|22<br> <br>7|
|g<br>Egypt,Arab Rep. of|<br>73|<br>61|<br>51|<br> <br> <br>41<br>37<br>32|<br> <br>27<br>22|<br><br>18|
INrRODUCTiON xlbc

> Table 14. _Infant Mortality Rate_ (condnued)

|Country,economy, orregion|1985.89|1990-94|1995-99|2000-04 2005-09 2010-14 2015-19 2020.24 2025-29|
|---|---|---|---|---|
|Libya<br>M|82<br>|69<br>|57<br>|47<br>40<br>32<br>25<br>18<br>11<br> <br> <br> <br> <br> <br>|
|orocco<br>Sudan|73<br>108|63<br>99|53<br>88|44<br>38<br>33<br>27<br>21<br>15<br>76<br>71<br>**_65_**<br>60<br>54<br>48|
|Tunisia<br> <br>|50|<br>41|<br>33|<br> <br> <br> <br> <br><br>27<br>23<br>19<br>15<br>11<br>7|
|OtherNorth<br>Africa|120|<br>106|<br>93|<br>80<br>74<br>69<br>64<br>58<br>53|
|America|42|.<br>36|<br>31|<br>25<br>22<br>18<br>14<br>10<br>7|
|Latin<br>America<br>and Caribbean<br> <br>|<br>53<br>|<br>46<br> <br>|<br>39<br> <br>|<br>32<br>27<br>23<br>18<br>13<br>8<br> <br> <br> <br> <br> <br>|
|Antiguo<br>and Barbuda<br>Argentina|22<br>32|<br>18<br> <br>27|<br>14<br> <br>23|<br>12<br>10<br>9<br>7<br>5<br>4<br> <br>18<br>16<br>13<br>10<br>7<br>5|
|<br>Bahamas,<br>The|<br>28|<br> <br> <br>23|<br> <br> <br>19|<br> <br> <br> <br> <br> <br><br>15<br>13<br>11<br>9<br>7<br>5|
|Barbados<br>|12<br>|<br>9<br>|<br>8.<br>|<br>7<br>6<br>5<br>5<br>4<br>3<br> <br> <br> <br> <br> <br>|
|Belize<br>Bolivia|50<br>98|41<br> <br>88|33<br> <br>76|27<br>23<br>19<br>14<br>10<br>6<br> <br>65<br>56<br>48<br> <br> <br>|
|<br>|<br>|<br> <br> <br>|<br> <br> <br>|<br> <br> <br> <br>39<br>30<br>21<br> <br> <br> <br> <br> <br>|
|Brazil|63|<br>54|<br>45|<br>37<br>31<br>25<br>19<br>13<br>7|
|Chile<br>|18<br>|<br>16<br> <br>|<br>13<br> <br>|<br> <br><br> <br>11<br>10<br>8<br>7<br>6<br>4<br> <br> <br>|
|Colombia<br>Ct<br>Ri|40<br>|<br>36<br> <br>|<br>30<br> <br>|<br>25<br>21<br>17<br>14<br>10<br>6<br> <br> <br> <br> <br> <br> <br>|
|osa<br>ca<br>|1S<br>|<br>16<br>|<br>13|<br>11<br>9<br>8<br>6<br>5<br>3|
|Cuba<br>|13<br>|11<br> <br>|9<br> <br>|7<br>7<br>6<br>5<br>4<br>3<br> <br> <br> <br> <br> <br> <br>|
|Dominica<br>|18|<br>15|<br>13|<br>11<br>9<br>8<br>6<br>5<br>3|
|Dominican<br>Rep.<br>|61<br>|<br>53<br> <br>|<br>44<br> <br>|<br>36<br>30<br>24<br>18<br>12<br>6<br> <br> <br> <br> <br> <br> <br>|
|Ecuador|58|<br>53|<br>45|<br>38<br>32<br>26<br>20<br>14<br>8|
|El Salvador<br>|59<br>|<br>49<br>|<br>40<br> <br>|<br>33<br>28<br>23<br>19<br>14<br>10<br> <br> <br> <br> <br> <br>|
|Grenada|34|29|<br>24|19<br>16<br>13<br>11<br>8<br>5|
|Guadeloupe<br>|16<br>|<br>14<br> <br>|<br>12<br> <br>|<br>10<br>9<br>7<br>6<br>5<br>3<br> <br> <br> <br>|
|Guatemala|68|<br>58|<br>49|40<br>34<br>28<br>23<br>17<br>11|
|Guyano<br>|56<br>|<br>48<br> <br>|<br>40<br> <br>|33<br>28<br>24<br>19<br>15<br>10<br> <br> <br> <br> <br>|
|Haiti<br>Honduras|97<br>69|<br>93<br> <br>61|<br>87<br>2|79<br>72<br>65<br>58<br>51<br>44<br> <br>44<br> <br> <br> <br> <br>|
|<br>|<br>|<br> <br> <br>|5<br> <br>|<br> <br>37<br>30<br>23<br>16<br>9<br> <br> <br>|
|Jamaica|17|<br>15|<br>13|<br>11<br>9<br>8<br>7<br>5<br>4|
|Martinique<br>|11<br>|<br>9<br>|<br>8<br>|<br> <br> <br> <br> <br> <br><br>6<br>6<br>5<br>4<br>4<br>3|
|Mexico<br>|43<br>|37<br> <br>|30<br> <br>|25<br>21<br>17<br>13<br>9<br>5<br> <br> <br> <br> <br> <br>|
|Nontserrat<br> <br>|32|<br>28|<br>23|19<br>16<br>13<br>10<br>7<br>4|
|Netherlands<br>Antilles<br>|14<br>|<br>12<br> <br>|<br>10<br> <br>|<br>9<br>8<br>6<br>5<br>4<br>3<br> <br> <br> <br> <br> <br>|
|Nlcaragua|62|<br>51|<br>41|33<br>28<br>23<br>18<br>12<br>7|
|Panams<br>|23<br>|<br>19<br> <br>|<br>16<br> <br>|13<br>11<br>10<br>8<br>6<br>4<br> <br> <br> <br> <br>|
|Paraguay|34|<br>30|<br>26|21<br>19<br>16<br>13<br>10<br>8|
|Peru|76|<br>65|<br>54|<br> <br> <br><br>45<br>38<br> <br> <br> <br>|
|<br> <br>|<br>|<br> <br>|<br> <br>|<br> <br>31<br>24<br>17<br>11<br>|
|St. Kitts<br>and Nevis<br>S Li|40<br>|34<br> <br>|28<br> <br>|23<br>19<br>16<br>12<br>8<br>5<br> <br> <br> <br> <br> <br>|
|t. uca<br> <br>|21<br>|<br>17<br>|<br>14<br>|12<br>10<br>9<br>7<br>6<br>4|
|St. Vincent<br>and the Grenadin<br>Si|es 25<br>|20<br>|16<br>|13<br>12<br>10<br>8<br>6<br>5<br> <br> <br> <br> <br> <br>|
|urname<br>Trinidad<br>and Tobago<br>|42<br>28<br>|37<br> <br>23<br>|31<br>19<br> <br>|25<br>21<br>17<br>14<br>10<br>6<br>15<br>13<br>11<br>9<br>7<br>4<br> <br> <br> <br> <br> <br>|
|Uruguay<br>|24|18|<br>15|12<br>10<br>9<br>7<br>5<br>4|
|Venezuela<br> <br> <br>|36<br>|33<br> <br>|28<br>|23<br>20<br>16<br>13<br>9<br>5<br> <br> <br> <br> <br> <br>|
|Virgin<br>Islands<br>(U.S.)|19|<br>17|14|12<br>10<br>8<br>7<br>5<br>3|
|Other<br>Latin<br>America|43|35|28|23<br>21<br>20<br>19<br>17<br>16|
|Northern<br>America<br>|10<br>|9<br>|8<br>|7<br>6<br>5<br>5<br>4<br>3|
|Canada<br>Perto<br>Ri|7<br>14|7<br>12|6<br>1|5<br>5<br>4<br>4<br>3<br>3<br> <br> <br> <br> <br> <br>|
|u<br>co<br>united<br>States<br>of America|<br>10|<br>9|0<br>8|8<br>7<br>6<br>5<br>4<br>3<br>7<br>6<br>5<br>5<br>4<br>3|
|<br> <br>Other<br>Northern<br>America|<br>19|<br>16|<br>13|<br> <br> <br> <br> <br><br>11<br>11<br>11<br>10<br>10<br>10|
|Asia|70|62|54|47<br>42<br>36<br>30<br>24<br>18|
|East<br>and Southeast<br>Asia<br>Brunri|39<br>10|32<br>7|26<br>6|21<br>18<br>15<br>13<br>10<br>7<br> <br> <br> <br> <br> <br>|
|<br>|<br>|<br> <br>|<br> <br>|5<br>5<br>4<br>4<br>3<br>3<br> <br> <br> <br>|
|Cambodia<br> <br> <br>|130<br>|<br>108<br>|<br>89<br>|74<br>67<br>60<br>53<br>46<br>39<br> <br> <br> <br> <br> <br>|
|China<br>(excluding<br>Taiwan)|32|27|22|18<br>15<br>13<br>10<br>8<br>5|
I INTRO TUWO

> Table 14. _Infant MonaMa, t%ate_ (contidnued)

|Country, economy, or region|198I-89<br>|1990-K<br>|1995-99 2|000-04 2|005-09 2|010-14<br>2|015-19 2|020-24 2|025-29|
|---|---|---|---|---|---|---|---|---|---|
|Tafuan, China|17|1S|13|11|9|8|6|5|4|
|Hong Kong<br>|7<br>|6<br>|5<br>|5<br>|4<br>|4<br>|4<br>|3<br>|3<br>|
|Indonesia|71|55|43|34|29|25|20|15|10|
|Jawpn<br>|5<br>|4<br>|4<br>|4<br>|4<br>|3<br>|3|3|3|
|Korea,<br>Den.People's Rep.of|28|24|20|17|14|12|9|7|4|
|<br>Korea,<br>Rep. ot|20|15|12|10|9|a|7|6|5|
|Lao People's am. Rep.<br>|110<br>|98<br>|85<br>|72<br>|68<br>|64<br>|60<br>|56<br>|52<br>|
|Macao|12|10|8|7|6|6|5|4|4|
|Malaysia|18|15|12|10|9|8|7|6|5|
|<br>Mongolia|<br>68|<br>**58**|<br>48|<br>39|<br>34|<br>28|<br>22|<br>16|10|
|<br>Myonnr<br>|70<br>|60<br>|50<br>|41<br>|36<br>|30<br>|25<br>|20<br>|1S<br>|
|Philippines<br>|45<br>|38<br>|31<br>|26<br>|23<br>|19<br>|16<br>|13<br>|10|
|Singapore<br> <br>|7<br>|6<br>|5<br>|5<br>|4<br>|4<br>|4<br>|4<br>|4<br>|
|Thail<br>nd|31|25|20|16|14|13|11|9|7|
|VietNam|46|39|32|26|23|19|15|11|7|
|South<br>Asia|102|93|82|71|63|54|46|37|28|
|Afghanistan|172|168|161|153|141|129|118|106|94|
|<br>Bangladesh|110|101|90|78|71|65|59<br>|53<br>|46<br>|
|Bhutan|127|119|109|97|89|81|74|66|59|
|<br>India<br>|98|<br>88|<br>76|<br>65|<br>57|<br>48|<br>39|<br>31|22|
|Iran,Islamc Rep. of<br>|93<br>|85<br>|75<br>|64<br>|54<br>|43<br>|33<br>|22<br>|11<br>|
|Maldives<br>|77|65|55|45|39|32|26|20|14|
|Nepal<br>|127<br>|117<br>|106<br>|93<br>|83<br>|73<br>|63<br>|53<br>|43<br>|
|Pakistan|107|100|90|79|69|60|51|42|33|
|Sri Lanka|22|18|14|12|10|9|7|6|4|
|Southwest<br>Asia|69|62|54|46|41|36|30|25|19|
|Bahrain|35|30|25|20|17|14|11|8|5|
|<br>Cyprus|<br>12<br>|<br>9|<br>7|<br>6|<br>6|<br>5|<br>4|<br>4|3|
|Gaza<br>Strip<br>|59<br>|48<br>|39<br>|32<br>|27<br>|22<br>|18<br>|13<br>|9<br>|
|Iraq|69|63|55|46|39|32|24|17|10|
|<br>Israel|11|9|8|7|6|5|5|4|3|
|<br>Jordan<br>(East<br>Bank)|<br>57|<br>47|<br>39|<br>31|<br>26|<br>21|<br>16|<br>11|6|
|Kuwait<br>|16<br>|12<br>|10<br>|8<br>|7<br>|6<br>|5<br>|4<br>|4<br>|
|Lebanon|48|44|39|32|28|24|19|15|10|
|Onmn|40|29<br>|22<br>|17<br>|15<br>|13<br>|11<br>|8|6|
|Qatar|31|25|20|17|14|12|9|7|5|
|<br>SaudiArabia<br>|71<br>|61<br>|52<br>|43<br>|36<br>|29<br>|22<br>|16<br>|9|
|Syrian Arab Rep.|48|39|32|25|22|18|14|11|7|
|<br>Turkey<br>|<br>65<br>|<br>S6<br>|<br>47<br>|<br>39<br>|<br>32<br>|<br>26<br>|<br>19<br>|<br>13<br>|7<br>|
|<br>United Arab Emirates<br>|26<br>|21<br>|17<br>|14<br>|12<br>|10<br>|8<br>|6<br>|4<br>|
|West Bank|S0|44|36|30|25|21|16|11|7|
|Yemen, Rep.of|128|121|111|99|91|84|76|68|61|
|Europe<br>and C.l.S.|18|15|13|11|9|8|7|5|4|
|Albania|28|30|25|20|17|14|11|7|4|
|Armenia|22|18|15|12|11|9|7|6|4|
|<br>Austria|<br>10|<br>8|<br>7|<br>6|<br>5|<br>5|<br>4|<br>4|3|
|AzerbaiJan<br>|28<br>|23<br>|19<br>|16<br>|14<br>|11<br>|9<br>|7<br>|5<br>|
|Belarus|14|12|10|9|8|7|6|5|4|
|Belglu<br>Bulgaria|10<br>15|8<br>14|7<br>12|6<br>10|5<br>9|5<br>8|4<br>6|4<br>5|3<br>4|
|<br>Chl Ildb|9|7|6|6|5|5|4|4|3|
|nne sn<br>Czechoslovakfa|<br>13|<br>11|<br>10|<br>8|<br>8|<br>7|<br>6|<br>6|5|
|<br>Croatia<br>|<br>1S<br>|<br>13<br>|<br>11<br>|<br>9<br>|<br>8<br>|<br>7<br>|<br>6<br>|<br>5|4|
|Doeimrk|8|8|7|6|5|5|4|4|3|
|<br>Estonfa<br>Fild|<br>1S<br>7|<br>13<br>6|<br>11<br>5|<br>10<br>5|<br>9<br>5|<br>7<br>4|<br>6<br>4|<br>5<br>4|4<br>3|
|nan<br>France|<br>8|<br>7|<br>6|<br>5|<br>5|<br>4|<br>4|<br>3|3|
INTRODUCTON **11** Table _14. Infant Mortall Rate_ (continued)

|Country, economy, or region|1985-89|1990I94|1995-99|2000-0|4 2005-09|2010-14|2015-19|2020-2|4 2025-29|
|---|---|---|---|---|---|---|---|---|---|
|Georgia|22|<br>18|<br>14|<br>12|<br>10|<br>9|<br>7|<br>6|<br>4|
|<br>Germany<br>|8<br>|7<br> <br>|6<br> <br>|5<br>|5<br>|4<br>|<br>4<br>|<br> <br>3<br> <br>|<br> <br>3<br> <br>|
|Greece<br>|13<br>|<br>11<br> <br>|<br>9<br> <br>|7<br> <br>|7<br> <br>|6<br>|5<br>|<br>4<br> <br>|<br>3<br> <br>|
|Hungary|17|<br>14|<br>12|<br>10|<br>9|8|7|<br>6|<br>5|
|<br>Iceland|7|4|4|4|4|3|3|<br>3|<br>3|
|<br>Iret nd|<br>8|<br>7|<br>6|<br>5|<br>5|<br>5|<br>4|<br> <br>4|<br><br> <br>4|
|Italy|10|<br>8|7|6|5|5|4|3|<br>3|
|<br>Kazakhstan|27|<br>23|<br>19|<br>16|<br>14|<br>12|<br>10|<br>9|<br>7|
|Kyrgyzstan|34|<br>29|<br>24|<br>20|<br>17|<br>14|<br>12|<br>9|<br>7|
|<br>Latvia|12|<br>10|<br>9|<br>8|<br>7|<br>6|<br>6|<br>5|<br>4|
|Lithi|11|<br>10|<br>9|<br>7|7|<br>6|<br>|<br>|<br>|
|uana||<br>|<br>|<br>||<br>|<br>5|<br>5|<br>4|
|Luxewkourg|9|<br>7|<br>6|<br>6|<br>5|<br>5|<br>4|4|<br>3|
|Matta<br>|10<br>|<br>8<br> <br>|<br>7<br> <br>|<br>6<br> <br>|<br>6<br> <br>|<br>5<br> <br>|<br>5<br>|<br>4|<br>4|
|Noldova|24|<br>19|<br>15|<br>12|<br>11|<br>10|<br>8|<br>7|<br>6|
|NetherLands|8|<br>7|<br>6|<br>5|<br>5|<br> <br>5|<br> <br> <br>4|<br> <br> <br>4|<br><br> <br>3|
|Norway|8|<br>8|<br>7|<br> <br>6|<br> <br> <br>6|<br> <br> <br>S|<br> <br> <br>4|<br> <br> <br>4|<br><br> <br>3|
|Poland|18|<br>16|<br>13|<br>11|<br>10|<br>9|<br>8|6|<br>5|
|Portugal<br>|14|<br>11|<br>9|<br>7|7|<br>6|<br>5|<br>4|<br>3|
|Romania|25|<br>27|<br>23|<br>19|<br>16|<br>14|<br>11|<br>9|<br>6|
|Russfan<br>Federation<br>|19|<br>16|<br>13|<br>11|<br>10|<br>8|<br>7|6|<br>4|
|Slovenfa<br>|12<br>|<br>10<br>|<br>8|<br>7|<br>6|<br>6|<br>5|<br>4|<br>4|
|Spain<br>|9<br>|<br>8<br> <br>|<br>7<br> <br>|<br>6<br> <br>|<br>6<br> <br>|<br>5<br> <br>|<br>4<br> <br>|<br>4<br> <br>|<br>3<br> <br>|
|Sweden|6|<br>6|<br>5|<br>4|<br>4|<br>4|<br>4|<br>3|<br>3|
|<br>Switzerland|<br>7|<br> <br> <br>7|<br> <br> <br>6|<br> <br> <br>5|<br> <br> <br>5|<br> <br> <br>4|<br> <br> <br>4|<br> <br> <br>3|<br><br>3|
|Tajikfstan|47|<br>42|<br>35|<br>29|<br>24|<br>20|<br>15|<br>10|<br>6|
|<br>Turkmenistan|54|<br>50|<br>43|<br>36|<br>31|<br> <br>26|<br> <br> <br>21|<br> <br> <br>16|<br><br> <br>10|
|United Kngdom|9|<br>8|<br>7|<br>6|<br>5|<br>5|<br>4|<br>4|<br>3|
|<br>Ukraine|15|<br>13|<br>11|<br>9|<br>8|<br>7|6|<br>5|<br>4|
|Uzbek1stan|39|<br>34|<br>28|<br>23|<br>20|<br>16|<br>13|<br>9|<br>6|
|Yugoslevia<br>|28<br>|<br>23<br> <br>|<br>19<br> <br>|<br>16<br>|<br>13|<br>11|<br>9|<br>6|<br>4|
|Other<br>Europe|14|<br>12|<br>11|<br>10|<br>9|<br>9|<br>9|<br>9|<br>9|
|Oceanfe|27|<br>24|<br>20|<br>16|<br>15|<br>15|<br>14|<br>13|<br>12|
|Australfa|8|<br>7|6|5|<br>5|<br>4|<br>4|<br>3|<br>3|
|Fiji|27|<br>22|<br>18|<br>15|<br>14|<br>13|<br>12|<br> <br>11|<br><br> <br>10|
|French<br>Polynesla|23|<br>19|<br>15|<br>12|<br>11|<br>9|<br>7|<br>6|<br>4|
|<br>Guim|12|<br>10|<br>8|7|<br>6|<br>6|<br>5|<br>5|<br>4|
|Kiribatf|62|<br>53|<br>45|<br>37|<br>36|<br>35|<br>33|<br>32|<br>31|
|Nicronesia,<br>Fed.<br>States<br>of|28|<br>25|<br>21|<br>17|<br>15|<br>12|<br>10|<br>8|<br>5|
|New Caledonfa|36|<br>29|<br>24|<br>19|<br>16|<br>14|<br>11|<br>8|<br>5|
|New<br>Zeoland|11|<br>10|<br>8|7|<br>6|6|5|<br>4|<br>3|
|PapuaNew<br>Oufnes<br>|63|<br>54|<br>45|<br>37|<br>37|<br>37|<br>37|<br>37|<br>36|
|Solomon<br>Islands|53|<br>44|<br>35|<br>29|<br>24|<br>20|<br>16|<br>12|<br>8|
|<br> <br>Tongs|<br>27|<br> <br> <br>19|<br> <br> <br>15|<br> <br> <br>12|<br> <br> <br>11|<br> <br> <br>9|<br> <br>8|<br> <br>7|<br><br> <br>6|
|<br>Varnatu|75|<br>65|<br>55|<br>46|<br>39|<br>31|<br> <br>24|<br> <br>16|<br><br> <br>9|
|Ubstern<br>Samoe|SO|<br>44|<br>37|<br>31|<br> <br>26|<br> <br> <br>22|<br> <br> <br>17|<br> <br> <br>13|<br><br> <br>9|
|Other<br>NicronesIa|32|<br>26|<br>21|<br>17|<br>15|<br>13|<br>10|<br>8|<br>6|
|Other<br>Polynesia|26|<br>21|<br>17|<br>14|<br>12|<br>10|<br>8|6|<br>5|
Ill INTRODUCTION Table 15. _Stationary Population, Momentum, and Year that Net Reproduction Rate Reaches 1 forAll Countries and Economies_

||Station<br>populat<br>(millio|ary<br>Rati<br>ion<br>to<br>ns)<br>1990|o Popu<br>tatio<br>momen|- Year<br>n when<br>tum<br>NRRml|<br>Stationa<br> <br>populati<br> <br>(million|ry<br>Rati<br>on to<br>s)<br>1990|o Pop<br>lati<br>momen|u- Year<br>on when<br>tum<br>NRRAn|
|---|---|---|---|---|---|---|---|---|
|world|12186|2.3|<br>1.4|2060|North<br>Africa<br>425|<br>3.0|<br>1.6|2050|
||||||Algeria<br>78|<br>31|<br>17|2020|
|Africa|3028|<br>4.7|<br>1.5|2055|<br> <br>Egypt,<br>Arab Rep. of<br>120<br> <br>|<br>.<br> <br>2.3<br> <br>|<br>.<br> <br>1.5<br>|<br>2015|
||||||Libya<br>35|<br>7.8|<br>1.6|2050|
|East Africa|1498|5.5|<br>1.5|2055|<br> <br>Morocco<br>69|<br> <br>2.8|<br> <br> <br>1.6|<br>2020|
|Botswana|4|2.9|<br>1.8|2015|Sudan<br>101|<br>4.0|<br>1.5|2035|
|Burundi|32|<br>5.9|<br>1.5|2045|Tunisia<br>18|<br>2.2|<br>1.6|2010|
|Comoros|3|5.4|<br>1.6|2035|Other North Africa<br>1|4.9|<br>1.4|2040|
|Ojibouti|2|4.9|<br> <br>1.4|<br>2040|<br>||<br>||
|<br>Ethiopia|417|<br>8.1|<br>1.5|2050|America<br>1311|<br>1.8|<br>1.4|2035|
|Kenya|124|<br>5.1|<br>1.7|2035|||||
|<br>Lesotho|6|3.4|<br>1.5|2025|Latin<br>America<br>and Carib. 938|2.1|<br>1.5|2035|
|Madagascar<br>|45<br>|<br>3.9<br> <br>|<br>1.5<br> <br>|- 2030<br>|Antigua<br>and Barbuda<br>0<br> <br>|1.8<br>|<br>1.7<br> <br>|2030<br>|
|Malawi|62|<br>7.3|<br>1.6|2050|Argentina<br>53|1.7|<br>1.3|2005|
|Mauritius|2|14|<br>14|2030|<br>Bahamas<br>The<br>0|19|<br>15|1990|
|<br>Mozambique|<br>96|.<br> <br>6.1|<br>.<br> <br>1.4|<br>2045|,<br> <br> <br>Barbados<br>0|.<br>1.2|<br>.<br> <br>1.3|<br>2030|
|<br>Namibia|7|4.0|<br>1.6|2030|<br>Belize<br>1|<br>3.1|<br> <br> <br>1.8|<br>2020|
|Reunion<br>|1<br>|1.8<br> <br>|<br>1.5<br> <br>|1995<br>|Bolivia<br>21<br>|2.9|<br>1.6|2020|
|Rwanda|65|<br>9.1|<br>1.6|2055|Brazil<br>304|2.0|<br>1.5|2005|
|Seychelles|0|1.8|<br>1.6|2005|Chile<br>23|1.7|<br>1.4|2000|
|Somalia|47|6.0|<br>1.5|2045|Colombia<br>62|1.9|<br>1.6|2000|
|South Africa|96|2.7|<br>1.5|2020|Costa Rica<br>6|2.0|<br>1.6|2005|
|Swaziland<br>|4<br>|5.1<br> <br>|<br>1.7<br> <br>|2035<br>|Cuba<br>14<br>|1.3|<br>1.3|2030|
|Tanzania|144|<br>5.9|<br>1.6|2045|Dominica<br>0|1.9|<br>1.8|2000|
|Uganda<br>Zaire|91<br>171|5.6<br> <br>4.6|<br>1.6<br> <br>1.6|2045<br>2035|Dominican<br>Rep.<br>14<br>Ecuador<br>24|2.0<br>2.3|<br>1.6<br> <br>1.6|2005<br>2010|
|Zambia|41|5.1|<br> <br>1.6|<br>2040|<br> <br>El Salvador<br>13|<br>2.5|<br> <br> <br>1.7|<br>2015|
|Zimbabwe|28|28|<br>17|2015|Grenada<br>0|18|<br>16|2005|
|<br>Other East Africa|<br>0|.<br>5.4|<br>.<br> <br>1.6|<br>2035|<br> <br>Guadeloupe<br>1|.<br>1.5|<br>.<br> <br>1.4|<br>1995|
||||||Guatemala<br>33|3.5|<br>1.7|2025|
|West Africa|1105|4.7|<br>1.5|2055|Guyana<br>1|1.7|<br>1.5|2000|
|Angola|61|6.1|1.4|2045|<br>Haiti<br>19|3.0|<br>1.5|2035|
|Benin<br> <br>|19<br>|4.0<br>|1.6<br>|2035<br>|Honduras<br>18<br>|3.5<br>|<br>1.7<br> <br>|2025<br>|
|Burkina<br>Faso|48|5.3|1.5|2045|Jamaica<br>4|1.6|<br>1.6|2000|
|Cameroon|53|4.5|1.6|2035|Martinique<br>1|1.4|<br>1.3|1990|
|Cape Verde|1|3.8|1.8|2025|Mexico<br>184|2.1|<br>17|2005|
|<br>Central<br>African<br>Rep.|<br>11|<br>3.7|<br>1.4|<br>2035|<br> <br>Montserrat<br>0|<br>1.5|<br>.<br> <br>1.4|<br>2000|
|Chad<br> <br> <br>|28<br> <br>|4.9<br>|1.4<br>|2040<br>|Nethertands<br>Antilles<br>0<br> <br>|1.6<br>|<br>1.5<br> <br>|1990<br>|
|Congo,<br>PeopLe's<br>Rep. o|f<br>14|6.3|1.6|2045|Nicaragua<br>14|3.6|<br>1.7|2025|
|<br> <br> <br>Cote d'ivoire|<br>63|5.3|1.6|2040|<br>Panama<br>5|1.9|<br>1.6|2000|
|Equatorial<br>Guinea|2|3.6|1.3|2035|Paraguay<br>16|3.7|<br>1.6|2030|
|<br>Gabon|6|5.4|1.4|2045|<br> <br>Peru<br>50|<br>2.3|<br> <br> <br>1.5|<br>2010|
|Gambia,<br>The|5|5.6|1.4|2045|St. Kitts and Nevis<br>0|1.3|<br>1.6|2000|
|Ghana|62||1.6|2030|St. Lucia<br>0|2.1|<br>1.7|2005|
|Guinea|33|5.7|1.5|2045|St. Vincent<br>& Grenadines 0|1.9|<br>1.6|2000|
|Guinea-Bissau<br>Liberia|4<br>11||1.3<br>1.6|2040<br>2035|Suriname<br>1<br>Trinidad<br>and Tobago<br>2|2.2<br>1.7|<br>1.6<br> <br>1.5|2010<br>2005|
|Mali|57|68|15|2050|<br>Ur<br>4|14|<br>12|1995|
|<br>|<br>|.<br>|.<br>|<br>|uguay<br> <br> <br>|.<br>|<br>.<br> <br>|<br>|
|Mauritania|14|7.0|1.4|2050|Venezuela<br>45|2.3|<br>1.6|2010|
|Niger|72|9.4|1.5|2055|Virgin Islands<br>(U.S.)<br>0|1.7|<br> <br>1.5|<br>1995|
|Nigeria|398||16|2035|Other Latin America<br>0|18|<br>15|2000|
|<br>Sao Tome and Princip|<br>e<br>0||.<br>1.6|<br>2025|<br>|.|<br>.||
|<br>Senegal|<br>43|5.8|1.4|2045|Northern<br>America<br>373|1.3|<br>1.1|2030|
|Sierra Leone|23||1.3|2045|Canada<br>34|1.3|<br>1.1|2030|
|Togo|17|4.8|1.6|2035|<br>Puerto<br>Rico<br>5|<br>1.3|<br> <br>1.3|<br>1995|
|Other West Africa|0|20|14|2005|United States<br>of America 334|13|11|2030|
|||.|.||<br> <br>Other Northern<br>America<br>0|.<br>1.2|.<br>1.2|<br>2030|
INTI'OIUCTIONI lii Table 15. (continued) Stationary Ratio Popu Tear population to tation whan (millons) 1990 somntum NaRoi

|Asia|6846|<br>2.2|<br>1.4|2060|
|---|---|---|---|---|
|East and Southeast<br>Asia|3006|<br>1.7|<br>1.4|2040|
|BrunAi<br>|1<br>|<br>2.4<br> <br>|<br>1.5<br> <br>|2015<br>|
|Cambodia|20|<br>2.3|<br>1.3|2015|
|China (excludino<br>Taiwan)|1886|<br>1.7|<br>1.4|2000|
|Taiwan,<br>China|27|<br>1.3|<br>1.4|2030|
|HonO Kong<br>|7<br>|1.2<br> <br>|<br>1.2<br> <br>|2030<br>|
|IndonesIa|358|<br>2.0|<br>1.5|2005|
|Japan<br> <br>|128<br>|<br>1.0<br>|<br>1.1<br> <br>|2030<br>|
|Korea,<br>Dem. Peoplets<br>Rep<br> <br>|. 39<br>|1.8<br> <br>|<br>1.5<br> <br>|199<br>|
|Korea,<br>Rep. of<br>'<br>|56<br>|<br>1.3<br>|<br>1.3<br> <br>|2030<br>|
|Lao Peoples<br>Dm. Rep.|21|5.1|<br>1.5|2040|
|Macao<br>|1|1.5|<br>1.2|1990|
|Malaysia<br>|44<br>|2.5<br>|<br>1.6<br> <br>|2015<br>|
|Mongolia|6|2.9|<br>1.6|2020|
|<br>Myanner|96|2.3|<br>1.5|2010|
|Philippines|137<br>|<br>2.2|<br>1.5|2010|
|Singapore|4|1.3|<br>1.2|2030|
|Thailand|102|<br>1.9|<br>1.5|1995|
|Viet Nan|159|<br>2.4|<br>1.6|2015|
|South Asia|3232|<br>2.7|<br>1.5|2060|
|Afghanistan<br>|127<br>|<br>6.2<br> <br>|<br>1.4<br> <br>|2050<br>|
|Bangladesh<br>|255<br>|<br>2.4<br>|<br>1.5<br> <br>|201S<br>|
|Bhutan|5|3.7|<br>1.4|2035|
|India|1855|2.2|<br>1.4|2015|
|Iran, Islamic<br>Rep. of|490|<br>8.8|<br>1.7|2060|
|Maldives|1|4.8|<br>1.J|2035|
|Nepal|**58**|3.1|<br>1.5|**2025**|
|Pakistan|397|<br>3.5|<br>1.6|2030|
|Sri Lanka|28|17|1.5|1995|
|Southwest<br>Asfa|528|<br>4.0|1.6|2055|
|Bahrain|2|3.2|1.4|2030|
|Cyprus|1|1.4|<br>1.2|1995|
|<br>Gaza Strip|3|<br>5.0|<br> <br> <br>1.7|<br>203S|
|Iraq|85|4.5|1.7|2030|
|Israel<br> <br>|10<br>|2.1<br>|1.4<br>|2005<br>|
|Jordan (East<br>Bank)|12|4.0|1.8|2025|
|Kuwaft|4|2.0|1.5|2010|
|Lebanon|6<br>|2.2<br>|1.6<br>|2015<br>|
|Oman<br>|10<br>|6.2.<br>|1.6<br>|2040<br>|
|Qatar|1|3.2|1.3|2030|
|Saudi<br>Arabia|89|6.0|1.6|2040|
|Syrian Arab Rep.<br>|66<br>|5.4<br>|1.8<br>|2035<br>|
|Turkey|120|2.1|1.5|2010|
|<br>Unfted<br>Arab Emirates<br>|3<br>|2.2|1.2<br>|2020|
|MestBank<br>|4<br>|3.9|1.7<br>|2025<br>|
|Yemen, Rep. of|109|9.7|1.5|2055|
|Europe and C.I.S.|95S|1.2|1.1|2030|
|Albanfa|6|1.9|1.5|2005|
|Armenia|5|1.5|1.3|1995|
|Austrfa|8|1.0|1.0|2030|
|AzerbafJan|12|1.7|1.4|**2000**|
|<br>Belarus|<br>13|<br>1.3|<br>1.1|<br>1990|

Stationary Ratio Popu- Year population to lotion when (millions) 1990 momentun NRR.1

|SIgh.<br>|10<br>|<br>1.0<br>|<br>1.0<br> <br>|2030<br>|
|---|---|---|---|---|
|Bulgaria<br>Chnnwel Issnds|9<br>0|1.0<br>1.1|<br>1.0<br> <br>1.0|2030<br>2030|
|Caschoslovakia<br>|19<br>|<br>1.2<br>|<br>1.1<br> <br>|2030<br>|
|Croatio|5|1.1|<br>1.0|2030|
|Denmark|5|1.0|<br>1.0|2030|
|Estonia|2|1.3|<br>1.0|1990|
|Finland<br>|5<br>|1.1<br>|<br>1.0<br> <br>|2030<br>|
|France|63|1.1|<br>1.1|2030|
|Ceorgia|7|1.3|<br>1.2|1990|
|Ge rmany|80|<br>1.0|<br>1.0|2030|
|<br>Greece|10|<br>1.0|<br>1.1|2030|
|Hungary|10|<br>1.0|<br>1.0|2030|
|Iceland|0<br>|1.5|<br>1.3|2030|
|Irelond|4|1.3|<br>1.3|1990|
|Italy|55|<br>1.0|<br>1.0|2030|
|Kazakhstan|28|<br>1.7|<br>1.3|2000|
|Kyrwyzstan|10|<br>2.3|<br>1.5|2015|
|<br>Latvia|3|1.2|<br>1.0|2030|
|Lithuania|5|1.3|<br>1.1|2030|
|Luxinourg|0|10|<br>10|2030|
|<br>**Maltt**|<br>0|.<br>1.3|<br>.<br> <br>1.1|<br>2030|
|<br>**Noldova**|<br>**7**|<br>1.7|<br> <br> <br>1.3|<br>2000|
|Netherlands|17|<br>1.1|<br>1.1|2030|
|Norway<br>|5<br>|1.1<br>|<br>1.1<br> <br>|2030<br>|
|Poland|50|1.3|<br>1.1|1990|
|Portugal|11|<br>1.1|<br>1.1|2030|
|Romania<br> <br>|31|1.3|<br>1.1|1990|
|Russian<br>Federation|191|<br>1.3|<br>1.1|1995|
|Slovenia|2|1.1|<br>1.1|2030|
|Spain|40|1.0|<br>1.1|2030|
|Sweden|10|<br>1.1|<br>1.0|2030|
|<br>Switzerland|<br>r|<br> <br>1.1|<br> <br>1.0|<br>2030|
|Tajikistan|17|3.1|1.7|2020|
|Turbmenistan<br> <br>|9|2.5|1.6|2015|
|United<br>Kingdom|64|1.1|1.0|2030|
|<br>Ukrafne|63|1.2|1.0|1990|
|Uzbeklstan|52|2.5|1.6|2015|
|YugolavIa|23|1.3|1.2|2030|
|Other Europe|0|1.3|1.1|1990|
|Oceania|46|1.7|1.3|2035|
|Australia|24|1.4|1.2|2030|
|Ffif<br>|1<br>|1.7<br>|1.5<br>|2005<br>|
|**French**<br>Polynesia|0|2.4|1.7|2010|
|<br>Cuam|0|1.8|1.5|2000|
|Kiribetf|0|2.5|1.4|2020|
|icronesia,<br>Fed. States<br>|<br>0<br>|3.0<br>|1.7<br>|2020<br>|
|New Caledonfe|0|1.9|1.5|2000|
|New Zealand|4|1.3|1.2|2030|
|Papu New Gufnea|11|2.9|1.4|2020|
|Soltmon stlnds|1|3.7|1.7|2035|
|<br>Tongp|<br>0|<br>2.1|<br>1.5|<br>2015|
|<br>Vanustu|1|3.8|1.7|2030|
|Vstern Samo<br>|0<br>|2.6<br>|1.6|2020|
|Other icronesa|0|2.6|1.6|2015|
|<br>Other Polynesa|<br>0|<br>2.4|<br>1.7|<br>2010|
lIV INTRODUCTON Table 16. _Populaton of Counvies and Economies in the 'Othee Categories_

|Country or<br>economy|Population<br>1985<br>(thousands)|Country or<br>economy|Population<br> <br>1985<br> <br>(thousands)|
|---|---|---|---|
|Other West Africa<br>St.Helena<br>Ascencion<br>Tristan<br>da Cunha<br>|6.9<br>5.6<br>1.0<br>0.3<br>|Other Europe<br>Andorra<br>FeeroeIslands<br>Gfbraltar<br>Holy See|260.0<br>45.0<br>46.0<br>29.0<br>1.0|
|Other East Africa<br>|60.8<br>|Isle of Man<br>|63.0<br>|
|Mayotte<br>|60.8|LIechtenstein<br>Monaco|27.0<br>27.0|
|Other North Africa<br>Western<br>Sahara<br>|155.0|San Marino<br>Other Micronesia|22.0<br> <br>85.0|
|Other Latin<br>America<br>and the Caribbean<br>Anguilla<br>|194.0<br>7.0<br>|Johnston<br>;sland<br>Narshall<br>Island<br>Nidway Islands<br> <br>|<br>1.0<br>s<br>36.0<br>2.0<br> <br>|
|Aruba<br> <br>|60.0<br> <br>|Northern<br>Marian|a Islands<br>20.0|
|British<br>Virgin Islands<br>|<br>12.0<br>|Nauru|8.0|
|CaymanIslands<br>|22.0<br>|Paltu<br>|16.0<br>|
|FalklandIslands<br>|2.0<br>|WakeIsland|2.0|
|French Guiana<br>|83.0<br>|||
|Turks and Caicos Island|s<br>8.0|Other Polynesia|80.1|
|||America<br>Samoa|36.0|
|Other Northern<br>America|115.0|Cook Islands|18.0|
|Bermuda|56.0|Niue|3.0|
|Greenland<br> <br>|53.0<br> <br>|Pitcairn<br> <br>|0.1<br>|
|St. Pierre<br>and Miquelon|<br>6.0|Tokelau<br>Islands<br>|<br>2.0<br>|
|||Tuvalu|8.0|
|||Wallis<br>and Futun|a Islands 13.0|
SPECIAL Topic 1: PROJECnNO AIDS MORTALuY Iv

# SPECIAL TOPIC I: PROJECTING AIDS MORTALITY

This section describes the methodology used to incorporate AIDS mortality in the projections and compares resulting demographic Indicators with those constructed if AIDS is not incorporated, as in previous editions of the World Bank's projections. The methodology makes use of an epidemiological model developed at the World Bank that simulates the spread of HIV, and the demographic model used to do the population projections (Bulatao and Bos, 1992). Simulations of the effect of current HIV prevalence on projected future mortality are used to derive equations that can be applied to populations with measurable levels of HIV infection with a minimum requirement for data.

## Epidemlological model

The epidemiological model, developed by Bulatao (1991) consists of a numerical simulation of three processes: the spread of HIV, the development of AIDS among those infected with HIV, and the progression form AIDS to death. The three processes are modeled separately for adults (those aged 15 years and over) and children. The model allows HIV to spread sexually between partners, through blood transfusions, infected needles, and perinatally between mother and child.

### _Seawl transmission_

In handling the sexual transmission of HIV, the model first divides all adults in the population into four sexual orientation groups: females (assumed to be all heterosexual), heterosexual males, homosexual males, and bisexual males. Females are assumed to choose partners from among heterosexual and bisexual males; heterosexual males from among females; homosexual males from among themselves and bisexual males; and bisexual males from females, homosexual males, and among themselves. Within each group, up to ten subgroups varying by sexual behavior can be defrned. Those who have developed AIDS are assumed not to be sexually active, and therefore are effectively in a no-sex subgroup.

Given some initial assumption about the proportion infected with HIV in a particular year, the number sexually infected in each subsequent year is calculated subgroup by subgroup. In its basic form, the calculation of the number of HIV seroconversions (0) In one year (t) in a given subgroup (s) of one sexual orientation group (r) is given by where M is the number of HIV seronegatives in the subgroup, P is the likelihood of adult survival from mortality unrelated to HIV, R is the proportion of potential sexual contacts, or agents, who are infective, T is the likelihood of transmission to group r through sexual contact, S is an average number for sex acts per partner, and F is the annual number of new partners. (Differeint values of F and S are the main factors distinguishing sexual orientation subgroups.) 0 and **OT** wil: be explained below.

The proportion of agents (R) infective to subgroup s is the weighted proportion across all other subgroups with which subgroup s has sexual contact who are asymptomatic but HIVseropositive (A). The weights used are the frequencies (F) with which these other subgroups take new sexual partners. The asymptomatic seropositives (A) in a given subgroup are calculated by summing up all those infected in previous years and subtracting those expected to progress to AIDS or to die from other causes.
M SPECIAL Topic 1: PRoJEcTiNo AIDS MoFrrAUry No restrictions are placed on the way sexual orientation groups are divided into subgroups or on the values of F and S specified for each subgroup. Inconsistent parameters, requiring for example that males have many more sexual partners in the aggregate than the available females, can be used as input. The model adjusts the input figures If necessary, essentiaUly taking averages or adjusting figures proportionally, in order to force them into consistency. These adjustments are made for each year of the simulation, as the number and distribution of the sexually active changes.

# _Nonsalw tranwussion_

Infection with HIV through needles and blood accounts for the terms 0, and OT in equation (1). The adult population is divided into crosscutting subgroups for number of annual transfusions and number of annual Injections, with the bulk of adults typically assumed to be in zerofrequency subgroups. The probability of infection (0, or Or) in each subgroup is then a function of the proportion of "agente (needles or blood) infected, the likelihood of transmission through a single exposure to an Infected agent, and the frequency of such expos"re, through injections or transfusions, for the particular subgroup. The formula is similar to (1), leaving out a few irrelevant terms.

The proportion of needles infected is equal to the proportion of adults infected, weighted by the frequency with which each receives an injection. The proportion of blood infected is equal to the proportion of adults infected, optionally weighted by propensity to donate blood, which can be specified for each sexual orientation subgroup. Both these proportions can be modifled, the first by a specified proportion of needles sterilized and the second by a specified proportion of blood screened.

For perinataL or vertical, transmission, the number of infected newborns is the product of the number of women of reproductive age, the proportion of women infected (including, in this case, those who have progressed to AIDS), the general fertility rate, and an optional adjustment factor that can be used if it is assumed that those infected have either higher or lower fertility than others The model does not allow overall fertility to be affected by use of this adjustment factor, implying in effect that fertility among those not infected either rises or falls to counterbalance the adjustment. Nor does the model make allowance for children being infected in any other fashion, nor for their transmitting the virus to anyone else.

# _gson from WV to AIDS_

The number that progress to AIDS is determined by applying separate schedules for adults and children that depend on year since initial infection, after excluding mortality from other causes. The model therefore keeps track of cohorts of HIV seropositives distinguished by infection date, so that appropriate progression rates can be applied. A logistic function of the form H - k / [2 + exp (a + bt)I (2) is presently applied in generating the schedule, but alternative functions can in principle be incorporated. The progression from infection to frank AIDS for both adults and children can be modeled with the same functional form, with the parameters set to allow substantialy faster progression for children.

# _Psgesionfim HIVto AIDS_

Progression from AIDS to death is handled in a similar manner as progression to frank _AIDS,_ using a logistic pattern.
> SPECIAL Topic 1: PROJECTNG AIDS MORrAUTY _Mi_

# _Model complicaions_

Several additional features of the model mainly affect the transmission process and allow tests of the effects of various unknown parameters. These features, listed below, can be ignored in a routine run of the modeL

> _(i) Random movement between sexual orientaton subgroups._ Membership in the four main sexual orientation groups is assumed to be fixed. Within these groups, subgroup proportions are initially specified by the user, and these proportions are applied to the initial population and to all those entering adulthood each year. In one scenario, each individual stays in the same subgroup all his or her life. In an alternative scenario, some proportion of individuals moves between subgroups each year. The model a11ows speciflcation of a fixed proportion of individuals who move randomly among subgroups, with the likelihood that they enter a given subgroup being proportional to the distribution across subgroups. This is accomplished computationally by redistributing the specified proportion of individuals each year before calculating seroconversions.

(if) _Infective phases._ Different probabilities of transmission can be entered for contact between susceptibles and particular infective agents--men, women, needles, blood, mothers. In addition, human agents can be allowed to vary in infectivity over time. The period between infection and development of AIDS can be divided into up to six segments of varying length, for each of which a speciflc probability of transmission can be specified. (Since the entire period varies in length across individuals, the segments are proportional rather than of absolute length.) Computationally, this affects equation (1), in which the term

- - R,t., [1 (1 T,)A

(3) is actually calculated as the summation of similar terms for each of the infective phases.

_(lii) Cofactorm_ The model allows condom use, genital ulcers, and one user-specified cofactor to affect infection by acting as a multipHer of transmission rates. In the case of condoms, for instance, transmission rates may be multipled by .1 or .2 or some other value for those using condoms. An appropriate multiplier and the proportion in each sexual orientation subgroup to whom the cofactor applies must be specified. From period to period, those to whom the cofactoi apylies may stay essentially the same or may change randomly.

*iv) _Anal sex._ On the assumption that anal sex carries different risks from other forms of sex, the user is allowed to specify what this greater risk is and what proportion of sex acts involve anal intercourse for each sexual orientation subgroup.

(v) _Genetic variabiity._ The adult population can be divided into two or three groups of arbitrary size with varying susceptibilties to infection. These groups crosscut the sexual orientation groups. A multiplier for the transmissio. rates and a relative size must be specified for each group. Computationally, this creates additional compartments in the model but does not change the basic formulae.

(vi) _Changes in parameters_ The model allows changes over time in several parameters. This is accomplished by selecting a date for changes to start and a percentage by which the parameter will rise or fall annually. Changes are allowed in all these parameters: transmission probabilities, sexual behavior, proportion of blood screened, proportion of needles sterilized, proportion using condom, and proportion with genital ulcers. This option allows testing the effects of various interventions, such as those directed towards behavioral change, STD programs, and other medical interventions,
lvil SPECIAL ToPic 1: PROJECTNG AIDS MORrALrTy

# on the spread of HIV (See Bulatao and Bos, 1989b, for an example).

(vii) _Attraction matrix_ The basic model assumes proportionate mixing among the relevant subgroups, modified by the frequency with which each subgroup chooses partners. A further modification can be made if one wishes to assume that contact between particular subgroups is more likely than contact between others. An "attraction matrix" is deflned providing weights for the likelihood of contact between every pair of subgroups. These weights are used in calculating the proportion of agents (R) that are infective to a given subgroup. A weight of 2, for instance, implies in effect that members of each of the two subgroups, in looking over possible partners, behave as if there were twice as many members of the other subgroup as there actually are. As with other sexual behavior parameters, the attraction matrix can be input in an unbalanced form, and will be forced into balance, which is accomplished through an iterative process.

(viii) _Urban-rural differences._ By defining additional subgroups and using an attraction matrix, it is possible to run a simulation with separate urban and rural sectors. Each sexual orientation subgroup must be divided into two groups, one rural and one urban. The attraction matrix can then be used to increase likelihood of contact within sectors and reduce contact across sectors. In addition, if the proportion of the population in the urban sector in each year is defined, the model shifts sufficient numbers of people between the parallel subgroups in each sector to meet these figures.

# _Demographic Model_

The demographic model that is linked to the epidemiological model is a variant of the standard cohort-component model used to produce population projections in the absence of AIDS (See _Data and Methds_ and Hill, 1990).

The epidemiological model keeps track of age at death due to AIDS among children. Deaths due to AIDS among adults are distributed across five-year age groups according to an age-sex distnbution provided by the user. These are translated into probabilities of dying, which, because they already exclude mortality from other causes, can be simply added to the life table values that are among the vital rates that drive the demographic model. Some aggregation is necessary because the epidemiological model generates annual estimates, while the demographic model generates quinquennial estimates.

# Simulations

A major obstacle to applying the model to Sub-Saharan countries is the unavailability of data required in the model. This concerns especially the behavioral components affecting the spread of HIV. Other required data, such as transmission rates of the virus, the progression to AIDS and death, and the effects of ulcers and condom use, are to some extent transferable from other settings. To circumvent the data problem, and to reduce the amount of input that would be required to apply the model for each Sub-Saharan country with discernable levels of HIV infection, the relationships between current HIV prevalence and future mortality from AIDS were extracted from a set of simulations produced by running the model with standard parameters for a hypothetical population.

# _Modelling approach_

The approach followed here involves running the above models many times with varying
SPECLAL ToPic 1: PROJECTING AIDS MoirTAulY _Ibx_ values of sexual behavior variables to match arbitrarily fixed levels of HIV prevalence in 1990: low prevalence (1 percent of the adult population), intermediate (3 percent) and high (6 percent). In these simulations, sexual behavior parameters are manipulated to achieve the specifled HIV prevalence, whereas other variables are set at one of three levels. These variables, selected because of their significance in the spread of the virus established in previous applications of the model (See, e.g. Bulatao, 1991) and because of known variations in conditions in Sub-Saharan countries, are: condom use, the prevalence of genital ulcers, and the intensity of blood screening. In addition, three different starting years (1970, 1975, and 1980) for the epidemic were used. The combination of every level of these variables, shown in table SI below, results in a total of 243 simulations, which were run from the start of the epidemic until 2025.

Other parameters of the model, such as fertility levels and trends, mortality from other causes, age structure, transmission rates, progression of children and adults from HIV to AIDS and death were selected on the basis of available Information from surveys and surveillance systems in Sub-Sahara African countries (U.S. Bureau of the Census, 1991). Especially useful in establishing parameter values were also "standard parameters" developed for HIV modeling exercises at the United Nations and at Family Health International (United Nations/World Health Organization, 1991; Family Health International, 1991). Table S2 shows a summary of the assumed parameter values used in the simulations.

Further assumptions were necessary regarding the course of the epidemic in the future. While intensive efforts to develop a vaccine are reported to be making some progress, at this time it does not appear likely that an effective vaccine will be available in the next few years. Arbitrarily, it is assumed that an effective medical intervention will become available in 2005, and that transmission of the virus resulting in new HIV infections will be cut in half each year thereafter.

It is also assumed that there is no interaction between HIV prevalence and fertility, or between AIDS mortality and mortality from other causes (other than that an individual who succumbs to AIDS cannot die of another cause). The evidence of individuals adjusting their fertility behavior based on the prevalence of HIV is very limited, and hypotheses for either an increase and a decrease in overall fertility have been proposed (World Bank, 1990; Ryder et al., 1991).

# _Sunulatin results_

the simulation output gives projections of HIV prevalence from 1990 to 2025 in the presence of varying levels of the cofactors, and of several resulting mortality indicators. The analysis of the simulation results consists of two steps. First, it is examined how well future HIV prevalence can be predicted from 1990 prevalence in these simulated scenarios. Second, the relationship between HIV prevalence and mortality indicators is examined. As AIDS mortality in Sub-Sahara Africa affects both adults and young children, both the effects of HIV level on future life expectancy at age 10 and on future mortality of children under five are analyzed.

Regression analysis is used to establish the relationship between 1990 prevalence and future prevalence, separately for males and females. In order to linearize trends over time in these data, logarithmic transformation of HIV prevalence are used. Table S3 shows the regression coefficients to predict future HIV prevalence from just three variables: 1990 HIV prevalence, 1990 HIV prevalence squared, and the year that the epidemic started. The model fits the data very well, especially early in the projection period, and the R<sup>2</sup> never drops below 0.85.
bX SPECiAL TOPIC 1: PROJECTING AIDS MORTAUTY Table SI. HIV transmission factors and their values used in simulations

|Variable|Values|
|---|---|
|Starting year of spread of HIV|1970, 1975, and 1980|
|Condom use|low (1%M),<br>medium (2%), and high (3%);<br>increased gradually after 1990|
|Genital ulcers prevalence|medium: 0.001-7.5%, depending on risk<br>subgroup; decreased gradually after 1990|
|____**__**|___<br>high: double the medium value|
||low: half the medium value|
|Blood screening|low (5%), medium (10%), high (20%);<br>increased gradually after 1990|
|Sexual behavior|Number of new sexual partners per year<br>varied to achieve 1990 HIV prevalence of 1%,<br>3%, and 6%|

Regression analysis is also used to establish the relationships between the level of adult HIV infection and mortality indicators in the future. The effects for adult males and adult females are estimated separately, and the effects on children's mortality is estimated from female infection rates. Table S4 shows regression equations, with life expectancy at age 10 the dependent variable for the equations including HIV prevalence, HIV prevalence squared, and the starting year of the epidemic as independent variables for adults. For children, under-five mortality is the dependent variable, and HIV prevalence for women the only independent variable. Given that these regressions use data generated with simulations, eliminating the effects of extraneous factors, it is not surprising that the R<sup>2</sup> values are so high.

As stated above, these results apply to a hypothetica! population with overall mortality levels as in Eastern Africa. The equations would underestimate the impact of AIDS in countries with lower mortality from other causes and overestimate the Impact where mortality is higher. Further analysis showed that for the projection purposes, the application of an adjustment factor equal to the squared ratio of a given life expectancy and the hypothetical population's life expectancy would produce consistent results. This adjustment factor is applied to the number of years lost due to AIDS.
SPECLAL Topic 1: PROJECTINQ AIDS MoRTALUy bd

# Application to Sub-Saharmn African countries

# _Data_

Estimates of HIV prevalence in 1990 for all Sub-Saharan Afican countries were made by Chin (1991) at the World Health Organization, and are summaried in Figure SI. These estimates were for males and females combined; based on the simulations, it is assumed that female HIV prevalence is 1.2 times male prevalence. HIV-1 and HIV-2 have been combined in one overall HIV estimate. Starting years of the epidemic were derived from the U.S. Bureau of the Census' AIDS data base (1990).

<!-- Start of picture text --> Figure SI. Percent HIV Seropositive, Adult Population 1990<br>f -A~~~~~~~~~~~~~~~~~~~n IVpoi<br>.,, ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~. . la<br>I 1 ~~~~~~~~~~~~~~~~t fl n lVp<br><!-- End of picture text -->
dil SPECIAL TopIC 1: PROJECmNG AIDS **MoRrAuTy** Table S2. Parameter values used In simulations

|Deiographic<br>variables|_|
|---|---|
|Fortitity|Total fertility<br>rate dect rnes from 6.5 during<br>1985-1995<br>to 6.2 in 1995-2000, and by 0.6 units<br>thereafter.<br>Age specific fertility<br>pattern like<br>Eastern Africa aggregate.|
|Fertility<br>adjustments<br>_<br>_<br>_<br>_<br>_<br>_<br>_<br>_<br>_|No fortility<br>adjustments because of HIV/AIDS are<br>_<br>made.|
|Mortality<br>(non-AIDS)|Mortality<br>from causes other than AIDS follows Eastern<br>Africa aggregate pattern.<br>Life expectancy gradually<br>increases from 55.6 during 1985-1990 to 68.7 during<br>2020-2025. Infant mortality declines during the same<br>period from 93 to 34.|
|Mlortality adjustments<br>|_______<br>______________________________|No interaction between AIDS mortalityandmortality<br>__<br>from other causes is assumed.|
|Age structure<br>___________________________________|The 1985 age-sex distribution equals the Eastern<br>Africa aggregate, with 46X below age 15 and 51X<br>between<br>ages 15 and 65.|
|Trmission<br>rates|__|
|Heterosexual contacts<br>l_______________________________________|oaleto female transmission averages 0.002; female to<br>male, 0.001.<br>Transmission rates vary by duration<br>since infection of the infected partner.|
|Homosexual<br>contacts|It is assumed<br>that homosexual<br>contacts are<br>insignificant<br>and can be ignored.|
|Blood transfusions<br>l_______________________________________|Receiving a blood transfusion with infected blood is<br>assumed to have a transmission rate of almost 0.999.|
|Injections<br>l_____________________________________|Receiving an inJection with an infected needleis<br>assumed<br>to have a transmission rate of 0.005.|
|Perinatal|Perinatal (or vertical)<br>transmission fromisassumed<br>to average 0.3.|
|Cofactors: ulcers|Amultiplicative<br>factor of 40 is applied to<br>transmission rates when a susceptible partner has<br>genitalulcers.|
|Cofactors: condom|Amultiplicative<br>factor of 0.2isapplied to<br>_ _ __<br>_<br>transmission rates when a condomisused.|
|Anal sex effect|No adjustment of transmission rates is assumed<br>for<br>either receptive orifnertiveanal sex.<br>|
|_<br>Risk groupeobershfpad**characte**|__1~<br>**ristics**<br>_|
|Risk group maemership:<br>males|30X monogamous;<br>40X low sexual activity; 20X mediuft<br>sexual activity;<br>10high sexual activity|
|Risk group mebership: females|50X monogamous;<br>30X low sexual activity;<br>15X percent<br>medium<br>sexual activity;<br>5X prostitutes|
|New contact frequency: mles|Monogamous:<br>0.05 new contacts per year; low: 2;<br>medium: 15; high: 50. Contact frequencies adjusted<br>in simulations with different<br>HIV prevalence levels|
SPECIAL ToPic 1: PROJECTINo AIDS MoRTALrrY lxiii

|Newcontact frequency: females<br>l_________________________________________|Monogamous:<br>0.05 new contactsporyear; tow: 2;<br>medium: 5; prostftutes: 200. Contact frequencies<br>adjusted in simulations with different HIV prevalence<br>levels|
|---|---|
|Blood<br>transfusions|90X percent<br>never<br>receives<br>a blood<br>transfusion;<br>8X<br>has 0.1frequency<br>of receiving<br>blood;<br>12 has I<br>exposure;1Xhas 5 exposures|
|InJections|70X percent<br>receives<br>0.1 Injections;10Xhas I<br>frequency of receiving an injection; 102 has 3<br>expoures; 102<br>has 10 exposures|
|Genital<br>ulcers<br>prevalence|Medfum<br>value<br>for monogamous<br>males and females:<br>0.0001;<br>low sexusl<br>activity:<br>0.0005;<br>medfum sexual<br>activity:<br>0.02;<br>high<br>sexual<br>actfvity,<br>males:<br>0.1;<br>female<br>prostitutes:<br>0.2|
|Disease<br>progression|l|
|Adults:<br>HIV to AIDS|Progression<br>follows<br>a logistic<br>curves,<br>with<br>parameters<br>a=2.77,<br>b-O.3.<br>k=O.9. This<br>has a median<br>of 10years, with 90 percent of those infected<br>ultimately<br>developing<br>AIDS|
|Children:<br>HIV to AIDS<br>.____ __**_**_**_**__<br>_ __<br>_ __ _ __|Progression<br>follows<br>a logistic<br>curve,<br>with<br>parameters<br>_au3,<br>**b-3.**<br>**k_**<br>**0.98**|
|Adults:<br>AIDS<br>to death|Progression<br>follows<br>a logistic<br>curve,<br>with<br>parameters<br>a=1.5,<br>b=1.5,<br>k0.999|
|Children:<br>AIDS<br>to death|Progression<br>follows<br>a logistic<br>curve,<br>with<br>parameters<br>**au4,**b=4, k=0.999|
|Otherparameters||
|Random<br>proportion<br>for cofactor<br>group|It is assumed<br>that<br>anindividual's<br>status<br>on ulcer<br>and condom<br>cofactors<br>is 102 random,<br>in comiparison<br>with<br>their status in the previous<br>year.|
|Random<br>subgroup<br>proportion|It is assumed<br>that<br>subgroup membership<br>is 102 random,<br>in comparison<br>with<br>subgroup<br>membership<br>in the<br>previous<br>year|
|Condom-genital<br>ulcers<br>association|It is assumed<br>that<br>there<br>is a -0.75<br>correlation<br>betweenan individual<br>havin**g**enital<br>ulcers<br>and using<br>a condom.|
|Genetic<br>variability<br>l_______________________________________|No variability<br>in genetic<br>susceptibility<br>to infection<br>is<br>assumed.|
|Blood<br>donation<br>propensity|Is assumed<br>not to vary<br>by risk<br>group.|
|Attraction<br>matrix|Proportionate<br>mixing<br>is assumed|
# IXIV SPECIAL Topic 1: PROJECTING AIDS MORTALnY

Table S3. Regressions for HIV prevalence **In** future years, female and male adults

|Predictor|1995|<br>2000|<br>2005|<br>2010|HIV Pr<br> <br>2015|evalenc<br>(<br> <br>2020|e<br>tn)<br>in year<br> <br>2025|
|---|---|---|---|---|---|---|---|
|FEMALES||||||||
|Constant<br>1990 HIV (In)<br>1990<br>HIV squared<br>(In)<br>Year<br>of start|-158.50<br>(3.06)<br>1.11<br>(0.01)<br> <br>-0.06<br>(0.01)<br>0.08<br>(0.00)|-250.39<br>(6.45)<br>1.18<br>(0.02)<br>-0.09<br>(0.01)<br> <br>0.13<br>(0.00)|-320.94<br>(9.22)<br>1.27<br>(0.03<br>-0.11<br>(0.02)<br> <br>0.16<br>(0.00|-352.79<br>(10.61)<br>1.30<br>) (0.04)<br> <br>-0.11<br>(0.02)<br> <br>0.18<br>) (0.01)|-380.33<br>(11.82)<br>1.33<br>(0.04<br> -0.11<br>(0.03)<br> <br>0.19<br>(0.01)|-404.87<br>(13.20)<br>1.36<br>) (0.05<br>-0.12<br>(0.03)<br> <br>0.20<br>(0.01|-556.77<br>(31.57)<br>1.20<br>) (0.07)<br>0.00<br>(0.05)<br> <br>0.28<br>) (0.02)|
|R2<br>N-243|0.99|0.97|0.95|0.94|0.93|0.92|0.86|
|MALES||||||||
|Constant<br>1990HIV(In)<br>1990 HIV squared<br>(In)<br>Year<br>of start|-158.36<br>(3.18)<br>1.08<br>(0.01)<br> <br>-0.05<br>(0.01)<br>0.08<br>(0.00)|*251.55<br>(6.56)<br> <br>1.14<br>(0.02)<br> <br>-0.08<br>(0.01)<br> <br>0.13<br>(0.00)|-323.41<br>(9.33)<br> <br>1.22<br>(0.03)<br> <br>-0.10<br>(0.02)<br> <br>0.16<br>(0.00)|-356.36<br>(10.73)<br> <br>1.24<br>(0.03)<br> <br>0.00<br>(0.02)<br> <br>0.18<br>(0.01)|.385.34<br>(11.98)<br> <br>1.28<br>(0.04)<br> <br>-0.11<br>(0.03)<br> <br>0.20<br>(0.01)|-409.76<br>(13.23)<br> <br>1.30<br>(0.04)<br> <br>-0.12<br>(0.03)<br> <br>0.21<br>(0.01)|-550.86<br>(31.26)<br> <br>1.12<br>(0.07)<br> <br>0.00<br>(0.04)<br> <br>0.28<br>(0.02)|
|RK<br>U-243|0.99|0.97|0.9f|<br>0.94|<br>0.93|<br>0.92|0.85|

Table S4. Regressions for life expectancy at **age** 10 and under-live mortality rate

|di||Lif<br>|e<br>expectan<br>|cy at age 1<br>|0 In perio<br>|d<br>||
|---|---|---|---|---|---|---|---|
|Prector|1990-9|1995-0|2000-0|2005-1|2010-1|2015-2|2020-25|
|FEMALES||||||||
|Constant<br>HIV (In)<br>HIV squered (in)|55.96<br>(0.02)<br>-0.87<br>(0.01)<br>0.01<br>(0.00)|<br>58.10<br>(0.03)<br> <br>-0.88<br>(0.01)<br>0.01<br> (0.00)|<br>59.06<br>(0.06)<br> <br>-0.97<br>(0.01)<br>0.01<br>(M.OO)|<br>59.95<br>(0.07)<br> <br>-1.01<br>(0.01)<br>0.01<br>(0.00)|<br>61.33<br>(0.03)<br> <br>-1.39<br>(0.01)<br>0.01<br>(0.00)|<br>62.73<br>(0.01)<br> <br>-1.74<br>(0.00)<br>0.02<br>(0.00)|<br>64.02<br>(0.06)<br> <br>-1.45<br>(0.08)<br>-0.06<br>(0.02)|
|R2|0.99|0.99|0.99|0.99|0.99|0.99|0.95|
|MALES||||||||
|Constant<br>HIV (in)<br>HIV squared<br>(In)|54.59<br>(0.02)<br>-0.70<br>(0.01)<br>0.00<br>(0.00)|55.73<br>(0.03)<br> -0.88<br>(0.01)<br> <br>0.02<br>(0.00)|56.31<br>(0.14)<br>-0.87<br>(0.02)<br> <br>0.01<br>(0.00)|56.77<br>(0.14)<br>-0.84<br>(0.02)<br> <br>0.01<br>(0.00)|<br>58.03<br>(0.11)<br>-1.19<br>(0.03)<br> <br>0.02<br>(0.00)|<br>59.23<br>(0.08)<br>-1.49<br>(0.04)<br> <br>0.03<br>(0.00)|60.30<br>(0.05)<br>-1.34<br>(0.07<br> <br>0.03<br>(0.02)|
|R2|0.99|0.95|0.96|0.97|0.97|0.98|0.94|
SPECmAL Topic 1: PROJECTING AIDS MORTALrY lKv Table S4, contlnued

||U|nder-five|mortatit<br>r|y<br>ateIn pe|riod|
|---|---|---|---|---|---|
|Predictor|1°90-95|1995-00|2000-05|2005-10|2010-15|
|Constant<br>HIV|0.104<br>(0.000<br>0.004<br>(0.000|<br>0.092<br>) (0.000<br>0.003<br>) (0.000|0.080<br>) (0.000<br>0.003<br>) (0.000|0.068<br>) (0.000<br>0.002<br>) Co.000|<br>0.054<br>) (0.000)<br>0.000<br>) (0.000)|
|R2|0.99|0.99|0.99|0.99|0.99|

# _Procedures_

The regression equations estimated above were incorporated into the World Bank's standard procedures for projecting mortality (Bulatao and Bos, 1989a). The procedures were modified as follows: first, the level and pattern of mortality is projected under no-AIDS circumstances, and appropriate Coale-Demeny model life tables are selected. Using adult HIV prevalence in 1990 and an estimated starting year of the epidemic, HIV prevalence in future years is calculated with the regressions in Table S3. Next, years of life expectancy lost due to AIDS mortality of children and adults is calculated with the regressions in Table S4. Finally, the number of years lost, expressed as Coale-Demeny model life table levels, is subtracted from the projected no-AIDS trends until 2020-25, after which mortality recovers gradually to the projected level in 2050 under a no-AIDS situation.

# _Results_

The estimated impact of AIDS on demographic indicators will be presented for all SubSahara African countries combined and the impact of AIDS on total population will be giv=n for individual countries. Figure S2 shows projected population and Figure S3 the population growth rate for 1985-2020, comparing the revised World Bank projections that incorporate AIDS mortality and previous projections without AIDS mortality, which are otherwise identical. The difference in the number of people is hardly discernable before the end of this decade, but keeps growing and reaches 49 milion in 2020. The difference in the growth rate is at most 0.15 percent. The differences are not only due to AIDS mortality, but also to fewer births resulting from fewer women of reproductive age. The contrast between the AIDS and no-AIDS scenarios is much more pronounced for life expectancy (Figure S4), which immediately shows a lower rate of increase and a divergence of as much as 3.5 years. Figure S5 shows the number of deaths due to AIDS, added to deaths from other causes. At its peak, AIDS adds 1.3 million deaths annually to the 9.5 million deaths from other causes. Long-term implications of the HIV/AIDS epidemic are shown in Figures S6 and S7. Life expectancy is assumed to recover fully to the no-AIDS levels by 2050; total population, will, _ceterisparibus,_ never catch-up with the population projected in the no-AIDS scenario. Such long-term projections are, of course, much more dependent on the assumptions made regarding the future course of the epidemic and the effectiveness of interventions than are projections for the short-term.

Table S5 shows the percentage difference in projected population in AIDS and no-AIDS scenarios for aUl countries of Sub-Saharan Africa for 2000, 2020, and 2050. The mean difference in 2000 is 0.8 percent, in 2020, 3.2 percent, and in 2050, 5.2 percent.
bXvi SP **sIoL ToPic 1:** PRWECTING AIDS MORTALrY <!-- Start of picture text --> Figure S2. Total Population Cbillions)<br>8i4. Saharan Africa, 1985.2020<br>1.3<br>12.2<br>'1.1<br>0.9<br>0.7<br>0.6<br>0.5<br>0.4 E ' .<br>199S 1990 1995 2000 2005 2010 2015 2020<br>a ND AIDS + AIDS<br><!-- End of picture text --> <!-- Start of picture text --> Figure S3. Population Growth Pate C%)<br>Sih-Sahar.n Africa, 1985-2020<br>3.1<br>3<br>2.9<br>2.8<br>2.7<br>2.6<br>2.5<br>2.4<br>2.3<br>2.2<br>2.1<br>1985-90 1990-95 1995-00 2000-05 2005-10 2010-15 2015-20<br>O No AIDS + AIDS<br><!-- End of picture text -->
SPEcIAL ToPic **1: PROJECTING** AIDS MORTALITY **btvil** <!-- Start of picture text --> Figure S4. Life Expectancy Cyears)<br>Sekharan Africa, 198-220<br>63<br>62<br>61<br>s0<br>59<br>so<br>57<br>58<br>54<br>53<br>52<br>15-90 1990-9S 19500 2000-05 2005-10 2010-15 2015-20<br>0 No AIDS + AIDS<br><!-- End of picture text --> Figure S5. Annual Deaths Cmillions) <!-- Start of picture text --> Su.C-Satirrsn Africa. 1985-2020<br>11<br>10<br>9<br>a<br>7<br>4<br>lIeS-S0 1990-95 1995-00 2000-05 2005-10 2010-15 2015-20<br><!-- End of picture text -->
**bcvIi;** SPECIAL Topic **1:** PROJECnNG AIDS **MORrALrY**

<!-- Start of picture text --> Figure S6. Total Population Cbillions)<br>Sub-Saharan Africa, 1985-2150<br>3.2<br>3<br>2.8<br>2.6<br>2.4<br>2<br>i.e<br>1.6<br>1.4<br>1.2<br>0.8<br>0.4<br>3.4 k9bt2bO 1 2d20 *%A2d40 1 20b 1% 20o 321b0 I 2120 l21'40<br>0.4 2010 0 2 20 2 0 2 110 2 0 21<br>No AIDS + AIDS<br><!-- End of picture text --> Figure S7. Life expectancy Cyears) **StIS,a5heran Ar Ica. 1985-2150** <!-- Start of picture text --> so N<br>75<br>70<br>90l-0 205W 290 223<br>65<br>so<br>53<br>50 I-<br>ligiso 20L 0 22-30 204-SO 2 204-)Wj90 20 10 211.30 21 50<br>o NDAIDS + AIDS<br><!-- End of picture text -->
> SPECLAL TOPIC 1: PROJECmNG AIDS MORTALrrY bxi

|Table_S5._Percenta<br>scenarios|ge differ|ence in|population, AI|DS an|d no-AI|DS|
|---|---|---|---|---|---|---|
|2000|2020|2050|2|000|2020|2050|
|Angola<br>0.2<br>Benin<br>1.2<br> <br>|1.6<br>6.0<br>|3.5<br>8.6<br>|Malawi<br>Mali<br>|2.0<br>0.1<br>|7.8<br>1.2<br>|12.3<br>2.8<br>|
|Botswana<br>0.1<br>|0.8<br>|1.2<br>|Mauritania<br>|0.3<br>|1.7<br>|3.9<br>|
|Burkina Faso0.5<br> <br>|3.0<br>|5.2<br>|Mauritius<br>|0.0<br>|0.4<br>|0.9<br>|
|Burundi<br>1.9<br> <br>|7.1<br>|10.8<br>|Mozambique<br>|1.2<br>|4.5<br>|7.2<br>|
|Cameroon<br>0.3<br> <br>|2.1<br>|3.5<br>|Namibia<br>|0.5<br>|2.3<br>|3.1<br>|
|Cape Verde<br>0.4<br>|1.7<br>|2.3<br>|Niger<br>|0.2<br>|1.6<br>|3.8<br>|
|Centr. Af. R. 2.0<br> <br>|7.4<br>|10.4<br>|Nigeria<br>|0.3<br>|1.6<br>|2.6<br>|
|Chad<br>0.0<br> <br>|0.6<br>|2.0<br>|Reunion<br>|0.0<br>|0.0<br>|0.0<br>|
|Comoros<br>0.0<br> <br>|0.0<br>|0.0<br>|Rwanda<br>|1.9<br>|7.5<br>|12.1<br>|
|Congo<br>1.3<br> <br>|4.7<br>|7.3<br>|SaoTome<br>|0.0<br>|0.0<br>|0.0<br>|
|Cote Dllvoire<br>1.7<br> <br>|6.2<br>|9.3<br>|Senegal<br>|0.1<br>|1.6<br>|3.1<br>|
|DJibouti<br>0.3<br> <br>|1.8<br>|3.6<br>|Seychelles<br>|0.0<br>|0.0<br>|0.0<br>|
|Eq. Guinea<br>0.4<br> <br>|1.9<br>|3.2<br>|Sierra Leone<br>|0.3<br>|1.8<br>|3.6<br>|
|Ethiopia<br>0.2<br> <br>|1.4<br>|3.2<br>|Somalia<br>|0.8<br>|3.7<br>|7.0<br>|
|Gabon<br>0.3<br> <br>|1.7<br>|4.0<br>|South Africa<br>|0.1<br>|0.6<br>|0.8<br>|
|Ganbia<br>0.4<br> <br>|2.6<br>|5.1<br>|Sudan<br>|0.3<br>|2.1<br>|3.9<br>|
|Ghana<br>0.2<br> <br>|1.4<br>|2.6<br>|Swazitand<br>|0.1<br>|1.0<br>|1.9<br>|
|Guinea<br>0.2<br>|1.7<br>|3.8<br>|Tanzania<br>|1.7<br>|6.8<br>|10.6<br>|
|Guinea-Bissau 2.1<br> <br>|7.6<br>|11.1<br>|Togo<br>|0.4<br>|2.4<br>|4.3<br>|
|Kenya<br>0.7<br> <br>|3.6<br>|5.7<br>|Uganda<br>|2.6<br>|10.0<br>|14.9<br>|
|Lesotho<br>0.0<br> <br>|0.3<br>|0.8<br>|Zaire<br>|1.1<br>|4.6<br>|7.0<br>|
|LIberia<br>0.4<br> <br>|1.9<br>|2.9<br>|Zambfa<br>|4.7<br>|14.9<br>|20.6<br>|
|Madagascar<br>0.1|0.8|1.7|Zimbabwe|2.8|7.6|9.1|

# Conclusions

While the impact of AIDS on population _could_ certainly be more severe than shown here, especially if various conditions conducive to the spread of HIV would prevail, the results indicate that even in severely affected countries population growth is likely to continue at high levels. Short-term effects were shown to reverse gains made in life expectancy over the past decades and to increase the crude death rate, but not to an extent that population growth is reduced by more than 0.5 percent in the countries with the highest infection levels.

It must be stressed that many parameter estimates for model variables are based partly on conjecture rather than on empirical data. While the model has been used to effectively simulate the spread of the epidemic from its start in the early 1970s to the presence (See, e.g. World Bank, forthcoming), there is no guarantee that the same parameters will hold in the future. Further uncertainty is introduced by the unknowable future course of the epidemic, which in this analysis is assumed to be drastically reduced after 2005. As with most projections, the short-term effects are accompanied by much less uncertainty than the longer range projections. In the case of HIV/AIDS, with its long incubation period, mortality in the next several years is mostly the result from infections that occurred in the past 10 or so years. If an estimate of HIV prevalence is available, projections of mortality from AIDS should be quite reliable. The more difficult part is clearly projecting the spread of HIV, as this is subject to behavior that does not lend itself to easy inquiry.
boc SPECUL ToPic 1: PROJECTING AIDS MORTALy

# References

- Bulatao, Rodolfo A. 1991. wThe Bulatao Approach: Projecting the Demographic Impact of the HIV Epidemic Using Standard Parameters.' Chapter X in: United Nations/World Health Organizadon (1991) _The AIDS Epidemic and its Demographic Consequences._ New York and Geneva.

- Bulatao, Rodolfo A. and Eduard Bos. 1989a. _Projecting MortaliyforAll Countries._ Policy, Planning, and Research Working Papers, No. 337. Population and Human Resources Department, The World Bank.

- Bulatao, Rodolfo A. and Eduard Bos. 1989b. _Implcadons of Control Measures for the Spread of HIV Infecton._ Paper presented at the Annual Meeting of the Population Association of America, New Orleans, April 1989.

- Bulatao, Rodolfo A and Eduard Bos. 1992. _Projechng the Demographic Impact of AIDS._ Policy Research Working Paper WPS 941.

- Chin, James. 1991. _Fonnal estimates of 1990 seroprevalence, Sub-Saharan Africa._ Unpublished Manuscript.

- Hill, Kenneth. 1990. _PROJ3S - A Computer Program for Population Projectons._ Washington, DC: The World Bank.

- Ryder, Robert W. et al. 1991. 'Fertility rates in 238 HIV-1 seropositive women in Zaire followed for 3 years post-partum.' AIDS 5,12:1521-1526.

- United Nations end World Health Organization. 1991. _The AIDS Epidemic and its Demographic Consequences._ New York and Geneva.

- United States, Bureau of the Census. _Recent HIV Seroprevalence Levels by Country: September 1990._ Research Notes No. 2, Health Studies Branch, Center for International Research.

- World Bank. 1990. Seminar on AIDS and Population Policy, August 28, 1990 (Background materials). Washington, DC: The World Bank.

> World Bank. Forthcoming. _The Socioeconomic Impact of AIDS in Uganda._ Washington, DC: The World Bank.
SPECIAL TOPIC 11: DEMOGRAPHIC TRENDS IN FORMER SOVIET-UNION Lxxi

# SPECIAL **TOPIC H:** DEMOGRAPHIC TRENDS IN **THE** REPUBLICS OF **THE** FORMER U.S.S.R.

Since the previous edition of _World Population Projections_ was issued, the U.S.S.R. has dissolved and become fifteen separate countries for which individual projections are provided in this volume for the first time. The demographic situation in these countries is quite diverse as a result of past differences in vital rates and migration, and their demographic prospects are consequently very different as well. This section focusses on the recent demographic history of and prospects for the former Soviet Republics, which, because they constituted one country, has not been presented before.

## _Populatton growth and dtrnibuton_

Of the fifteen countries, the largest is the Russian Federation with over half of the population of the former Soviet Union, as is shown in Figure SI. The next largest are, in order, the Ukraine, Uzbeklstan, Kazakhstan, and Belarus. The other ten countries contain only 12 percent of the total population of the former Soviet Union. Thus, while the Russian Federation is by far the largest country of Europe, most of the former Soviet republics resemble many other countries in the region in the size of the total population. Land areas of the countries vary even more widely than population totals; as a result, population densities are very uneven, ranging from 129 persons per square kilometer in Moldova, to _&7_ persons per square kilomneter in the Russian Federation, which includes the vast and sparsely populated Siberian regions.

<!-- Start of picture text --> Figure Sl. Composition of the Former Soviet Union<br><!-- End of picture text --> <!-- Start of picture text --> Latvlo CO.91)<br>Ukr& Inn C I7.m d w<br>Arnonis C1.1% ||<br>Kazakhstan C5.0 i<br>_ -_ l R~~~~~~~uss laon Fed . C5 t. 25)<br>Azerbaijan I J on C 2.C5<br>Georgia C1.9x)<br>Kyrgyzatan C1.5W)<br>Turk*nnlstan C /<br>Lithuania (<br>mIoasova C 150\ /<br>TaJ lk stan C t.9<br>8Blarus C.i)_<br>Uxbilklet2cnao5)<br><!-- End of picture text -->
> bodi SPECIAL Topic II: DEMOGRAPHIC TRENDS IN FORMER SOVET-UNION

FPgure S2. Population Growth Rates, 1990 <!-- Start of picture text -->
*'M -<br>0.. |<br><!-- End of picture text -->

# Figure S3. TFR in Former Soviet-Union Republics

Figure S2 compares annual population growth rates for the period ... 1990-94. Five countries have growth rates over 1 percent, whereas most of the other countries' growth rates hover around 0.5 percent per year. These rates show a clear geographic pattern, with the Central Asian countries mostly having high growth rates. Tajikistan, Uzbekistan, Turkmenistan, Kyrgyzstan, and Azerbaijan, which together have only 14 percent of the population of the former Soviet Union account for 40 percent of the increase in population in all fifteen countries. One consequence of the differences in growth rates is that the composition of the region will gradually change. For example, the share of the Russian Federation of the region's total will drop from just over 51 percent now to 47 percent by 2025.

## _Fertlity_

Figure 84. Trends in TFR, low fertility countries <!-- Start of picture text --> . 'Uu.w<br>. ~<br><!-- End of picture text --> The main reason for the differences in population growth rates is the variation in fertility. Figure S3 compares the TFR in 1992 for al 15 countries. Figures S4 and S5 show trends in the TFR from 1960 to 1990. Two sets of countries can clearly be distinguished: those with high and medium-high fertility (Figure _S5)_ and those with fertility near replacement (Figure S4). For most of the high and medium high-fertility countries, trends since 1980 are generally downwards, although at a slow rate. The low fertility countries have been mostly stable at low levels since the 1960s. An exception is Armenia, which joined the low fertility countries only in the mid1970s.
SPEcIAL ToPic 11: DEMOGRAPHIC TRENDS IN FORMER SOVIET-UNION blxiii

**Figure** SS. Trends in TFR: high fertility countries

<!-- Start of picture text --> ______________ _____________M<br>.<br>.<br>.<br>0 f- * W a- ^1l|<br><!-- End of picture text -->

Figure S6. Difference in e(0) from USSR average <!-- Start of picture text --> to _. A d,, w a I, LA, ^<br><!-- End of picture text --> Figure S7. Trends in e(O) <!-- Start of picture text --> n<br>i , 1<br>* . . . . . . Y<br>* n * * a* * 7 * n *<br>C a ~Ie ttt * *~~ C *~*0 C trth Itthe<br><!-- End of picture text -->

# _ortali*y_

Differences in life expectancy are not as pronounced as those for fertility and population growth. Figure S6 shows estimated 1992 life expectancy (male and female) from the Soviet Union average for each country. Belarus is highest, with a life expectancy that is two years higher, and Turkmenistan stands out with a life expectancy five years below the Soviet Union average. Recent trends in life expectancy for males are shown in Figures S7 and S8. As with fertility, clear geographic patterns are noticeable, with lower life expectancies for the Central Asian countries. Life expectancy increased in most countries by one to two years during the 1980s although there was a sizable one-time drop in Armenia's level attributable to the 1988 earthquake. One of the more remarkable demographic features of some of the former Soviet republics is the large differences between male and ^ *female life expectancy (Figures S9 and S10), reaching a high of 10.5 years in Russia -- the highest observed difference in the world. These disparities between male and female life expectancy are probably due to greater alcohol and cigarette consumption by men (Dutton 1981).

Although infant mortality increased somewhat during the 1970's (possibly due to improved reporting), it has been decreasing over the last decade for all of the countries. However, considerable diversity still exists in the rates which are higher in the Central Asian countries and lower in most of other countries. The infant mortality rates range from 54 in Turkmenistan to 15 in the Ukraine and Belarus.
bodV SPECiAL **Topic II:** DEMOGRAPHIC TRENos IN FORMER SOVIET-UNION Figure S8. Trends in e(O) <!-- Start of picture text --> 7,<br>..<br>72<br>r .,? . *<br>'° 3 - " "'7 " " " " "<br>0 A~IJ- + Wf4a ,"7<br><!-- End of picture text --> Figure S9. Differences between male and female e(O) <!-- Start of picture text --> la ________________________<br>E , == aS<br>o 0;i- . e * UU4U _ jm164 ,. .. _ i.x<br>S10.<br>e . & :<br>o 9-.~. -* ~,* * ,<br><!-- End of picture text --> Figure S10. Differences between male and female e(O)

# _Migration_

Internal migration played ap important role in the spatial distribution of the population of the Soviet Union. Government policies aimed at balancing requirements for labor and population; however, they were only partly successful. In the 1960s, efforts to settle outlying areas in Siberia were largely ineffective, while the Central Asian republics, which already had a labor surplus, continued to attract more migrants. In the 1970s, however, there was significant change in the direction of interregional migration trends (Zayanchkovskaya, 1991). Western Siberia started to experience a large influx of population, and the Central Asian republics began to have large migration deficits. These trends continued in the 1980s. The North-Western and Central regions (Moscow and St. Petersburg and their districts) attracted large number of migrants throughout the period.

Several factors are conducive for intensified migration in the 1990s. The change to a market economy, which is likely to result in differentials in wages and employment opportunities, wil create labor markets witi. strong incentives to move to the economically more developed countries. Past migration trends have led to considerable ethnic diversity ir some of the countries, whereas others have remained more homogeneous. Over 25 million Russians live outside the country in other former Soviet Union republics, while Armenia's population is 93 percent ethnic Armenians (Scherbov and. Andreev, 1992). The consequences of ethnic dispersion for future wi.gration flows are hard to anwicipate; at its worse, it could
> SPECIAL ToPic II: DEMOGRAPHIC TRENOS IN FORMER SOVIET-UNION bocv

result in substantial refugee flows when ethnic frictions erupt, as in the Armenia-Azerbaijani conflict. Full freedom of movement was restricted in the former Soviet Union; to what extent new migration policies wili limit the movement of people among the new countries remains to be seen. In addition to economic, ethnic, and political factors, natural and environmental disasters may increase future migration. The Chernobyl nuclear accident has caused large outmigration In the areas of the Ukraine, Belarus, and Russia most affected by contamination.

# References

- Dutton, John C Jr. 1981. *Causes of Soviet Adult Mortalty Increases". _Soviet Studies,_ Vol 33, No 4: 548-559.

- Scherbov, Sergei, and Evgeniy Andreev. 1992. 'Population Prospects for the Republics of the Former USSR." Paper presented at the Annual Meeting of the Population Association of America, Denver, April 30-May 2, 1992.

- Zayanchkovskaya, Zh. A. 1991. 'Inter-Republic Population Migration in the USSR.' _SuUdies on Soviet Economic Development,_ Vol _2,_ No 3:228-242.
lxxvi DATA AND METHODS

# DATA **AND MEODS**

The data used in each projection include base-year (mid-1985) total population estimates and age structures by sex, and base-period (1985-90) mortality, fertility and migration rates. The data, their sources and how they are derived when insufficient information is available, will be described in this section. The sources of each country's base data can be found in Table A3.

## Data

## _Population and age-sex structure_

Estimates of the mid-1985 populations are obtained from the most recent reliable sources. When possible, these estimates are obtained from recent census totals piojected to mid-1985, after adjustments have been made for under- or over-reporting. Provisional census figures that have not been evaluated are not used. A major source of adjusted census figures is the U.N. Population Division. Other sources include the U.S. Bureau of the Census, Eurostat and, for the former Soviet countries, the U.S.S.R. census publications. When no recent census figures are available, official estimates are often adopted, frequently as reported by the U.N. Statistical Office in _Population and Vital Statistics Report._ In addition, base-year population estimates may be obtained through projections of past census results with fertility, mortality, and migration rates from vital registration or surveys.

Age-sex structures are distributions of the population by age and sex. As is the case for total population, the U.N. Population Division provides many of the age-sex structures, which generally are census age structures adjusted for age-misreporting or estimations using stable population analysis when necessary. Other sources include World Bank and official estimates from recent censuses and projections from earlier censuses.

Estimates based on a more recent census generally provide more reliable information than estimates constructed through projections from earlier censuses. However, some European countries have not had a census in decades, but maintain very accurate demographic intelligence through population- and vital registers. Most other countries lack complete regstration systems and rely on cersuses, usually taken ten years apart, often supplemented with intercensal surveys. Figure Al summarizes the currentness of census counts.

## _Mortality data_

Base-period mortality levels in the projections are indicated by life-expectancies at birth by sex and infant mortality rates for both sexes combined. Life expectancies for the quinquennia 197580, 1980-85 and 1985-90 were obtained from a variety of sources, with the U.N. Population Division being the most frequent one. Others are based on estimates published in _Population and Vra Statistics Report,_ DHS reports, statistical yearbooks, census publications, World Bank reports, Eurostat (1991), Monnier and Guibert-Lantoine (1991) and the U.S. Bureau of the Census. In cases where data are not available for the desired quinquennium, or give indices other than life expectancies, some estimation and projection is then necessary to obtain the right index Further detail about the construction of current mortality estimates may be found in Bos et aL (1992).

Infant mortality rates, like life expectancies, are taken from a variety of sources. A frequently used source is the U.N. _1990 World Population Prospects._ Other sources include surveys,
> DATA AND METHoos bomil

# Figure Al Distribution of countries by year of latest census

<!-- Start of picture text --> 100<br>90<br>so<br>70<br>0<br>40-<br>70 - or 90o oe 17-99 t8-18 95o ae<br>30-<br>20-<br>10<br>0 N<br>Before 1970 or none 1970- 1979 1980- 19e4 1985 or later<br><!-- End of picture text --> censuses, offlcial estimates, USBOC, Eurostat and World Bank estimates. The mortality risk for children under age _5_ for the current period is deriv'i from a model described below. Earlier estimates are often taken from the U.N. publication _Mortality of Children Under Age 5._

## _Ferility data_

Total fertility rates are derived from similar sources as mortality rates, including the _U.N.'s World Population Prospects 1990,_ surveys, censuses, and the U.S. Bureau of the Census. The DHS survey are a particularly useful source of data. Other sources include official estimates, Bank estimates, and Eurostat. Because fertility rates are not always available for the specified period or are in terms of another parameter such as the crude birth rate, total fertility rates are sometimes obtained by projections of earlier estimates or approximated using available data on age-sex structure and agespecific fertility.

## _Migration Data_

Estimates of rn,,t international migration are obtained from a variety of sources including statistics from national immigration agencies, statistical organizations, official sources, interagency task forces and research institutions. Arnold (1989) compiled all these data. Updates of this information have been made as more data has become available.

In developing these estimates, migrants are considered persons who have resided in countries different from their previous residence for at least a year or who are believed Ukely to remain permanently in receiving countries. Persons are not counted as migrants when they are refugees living in officially designated camps. Only net estimates are made by quinquennium; immigration and emigration are not estimated separately, and single-year figures were not assessed.
lXViii DATA AND METHODS

# Projection methodology

Population projections were run using the cohort-component method on microcomputers with the software package, PROJ3L (A similar program, PROJ3S, is described in Hill (1990), the only difference being that this program allows for 75-year projections rather than long-term projections shown here. The assumptions about future trends in vital rates will be discussed in this section.

## _Projecting Mortality_

The procedures used to project mortality were developed from analysis of trends in life expectancy and infant mortality in available national data. (See Bulatao et al., 1989). These projections utilize extended life tables (see Coale and Guo, 1989) with maximum male and female life expectancy assumed to be 83.3 and 90 years, respectively. These maxima were revised upward in 1991 because previously used maxima are now barely above the currently estimated levels for the lowest mortality countries. Life expectancy In Japan, for instance, is estimated at 75.6 for males and 81.4 for females - only slightly below the previously used maxima. Research into the consequences of controlling major risk factors has found that thereotically much higher life expectancies are attainable. Bourgeois-Pichat, in an attempt to estimate the effect on the life span of eliminating wexogenous" causes of death, obtained a maximum life expectancy of 76.3 for males and 78.2 for females. In 1978, he revised the limit, putting life expectancy for males slightly lower at 73.8 years and that for females higher, at 80.3 years (barely above the current estimates for Norway). Manton (1986) showed that an increase in life expectancy of 12.3 to 12.8 years in the expectation of life at age 30 years was possible with effective control of major risk factors. Even if no changes in mortality under 30 occurred this would result in an increase in male life span to above 81 years. On the basis of this evidence and given the long range nature of these projections a higher maximum life span was considered appropriate.

## _Fuhue trends in fife expectancy at bb*d_

Life expectancy is projected from year 0 to year t using a logistic function over time of

# the form

et = ko + k /{1 + exp [logit(e0 ) + rtl}, with logit(e.) = log, [(ko + k - e.) / (e0 - ko)j.

Logistic functions are used because these flt 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 slowest 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 logistic function is set to rise most rapidly from a level of 50 years or so and increasingly slowly at higher levels. The minimum (kI) for the logistic functions for both sexes is assumed to be 20 years, and the maxima (ko + k) are assumed to be 90 years for females and 833 years for males. The rate of change (r) for the logistic function is allowed to vary across countries, and for a given country to vary over time.

For the fist quinquennium (1985-90), the rate of change (r1) is estimated from the rate of change in the previous quinquennium (ro) and from the female secondary enrolment ratio (s.),
> DATA AND METHODS babe

using the equations = .00379 + .723 ro .000254 so for females, and .01159 + .885 ro - .000318 so for males.

Percent urban Is used in a few cases, with a different equation (see Bulatao et al., 1989), where secondary enrolment is not available, and in fewer cases still the rate of change in the previous 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 flrst 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 second quinquennium, the rate of change is estimated as a function of the rate of change for the flrst quinquennium:

> r2 -0.007 + 0.7 rl.

|Table A|l Assu|med annu|al incre|ments to li|fe expec|tancy|The rate of change for the third<br>quinquennium is estimated from<br>the rate of change for the<br>|
|---|---|---|---|---|---|---|---|
|Initial<br>Lifexpe<br>expec-<br>tancy<br>|c<br>Minfium<br>|Males<br>Mediun<br>|Maxima<br>|un<br>Nininun<br>|Female<br>Nediun|s<br>Naximun|second quinquennium in the<br>samemanner.<br>This equation<br>allows rates of change to<br>convergetoward the uniform<br>pattern imposed for subsequent<br>quinquennia.|
|40<br>45<br>s5<br>60<br>|0.14<br>0.15<br>0.16<br>0.15<br>|0.34<br>0.38<br>0.39<br>0.37<br>|0.55<br>0.61<br>0.63<br>0.59<br>|0.14<br>0.16<br> <br>0.17<br>0.17<br>|0.36<br>0.40<br>0.43<br>0.43<br>|0.58<br>0.65<br>0.69<br>0.68<br>|Forthesesubsequent<br>quinquennia<br>for all countries,<br>the<br>rate<br>ofchangeinlife<br>|
|65<br>70<br>75<br>80<br>5|0.13<br>0.10<br>0.07<br>0.03|0.32<br> <br>0.26<br>0.18<br>0.08|0.52<br> <br>0.42<br>a 0.28<br>0.12|0.16<br> <br>0.14<br>0.12<br>0o09<br>|0.40<br> <br>0.36<br>0.27<br>0.21<br>|0.69<br>0 57<br>0.47<br>0.34<br>|expectancy is constant at -.035<br>forbothsexes.<br>Atthis rate, the<br>annual<br>increments<br>to<br>life<br>|
|8|--|-||0.05|0.11|0.18|expectancyvarybyinitial levels|
||||||||as indicated by the medium<br>|

pattern in Table Al. Minimum and maximum increments corresponding tO the slow and rapid limits imposed on rates of change in the frst three quinquennia are also shown.

# _Future trends in infant mortalty._

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, = .0275 + _.5_ r,.,.

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 in Table A2. A set of medium decrements is also provided, representing the typical schedule of improvements toward which rates of change converge when the preceding equation is applied successively. A minimum attainable level of infant mortality of 3 per thousand was used instead of the previously assumed 6 per thousand. This level is roughly equivalent to the level attainable under
# l0xx DATA AND METHODS

Table A Assumedannaldecrements Table A2 Assumed annual decrements to infant mortality rate the extended life expectancy assumptions employed.

# _Selection of life tables._

<!-- Start of picture text --> Initial<br>infant<br>mortality<br>rate Mininuun Medf Lsn Maxln.si<br>iSO 0.83 2.08 4.02<br>150 0.8932 2.32 4.47<br>130 1.00 2.50 4.81<br>120 1.13 2.63 5.03<br>110 1.16 2.69 5.15<br>100 1.16 2.71 5.16<br>90 1.14 2.66 5.07<br>80 1.10 2.56 4.86<br>70 1.03 2.41 4.56<br>60 0.93 2.20 4.16<br>50 0.81 1.94 3.65<br>40 0.67 1.62 3.05<br>30 0.50 1.26 2.35<br>20 0.31 0.84 1.56<br>10 0.09 0.36 0.68<br><!-- End of picture text --> Those life tables are selected from the Coale-Demeny models (Coale and Demeny 1983) that provide the projected life expectancy and infant mortality rates for the first three quinquennia. First, a level of the life tables is chosen to give the desired infant mortality rate (interpolation is used if necessary). Mortality rates up to age 14 are taken from this life table. Second, another level of the life table is chosen to give rates for ages 15 and older such that the desired level of life expectancy is obtained. Among the four Coale-Demeny families (North, South, East, and West), that family is chosen which minimizes the divergence between 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, forthcoming ), was allowed to interpolate linearly for intervening periods, to facilitate a smooth transition across life table families where this was necessary.

## _Projectingferity_

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 experienced 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 evident. 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 fertility 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
DATA AND **METHODS** b to 6 peremnt over three quinquennia, with each percentage point drop in sterility raising total fertility by .11 points (Frank 1983).

In the transition stage, the rate of fertility decline is based on the rate in the preceding quinquennium, assuming transition had already started in that period. With previous annual change represented by DTR, annual change during the transition is set at (-.05 + _.5_ DrpR). 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 .06 points for the first five year of the transition and 0.12 annually for subsequent quinquennia is imposed. In the early part of the transition stage, the sterility adjustment is applied if appropriate to raise total fertilty slightly.

In the late-transition and posttransition stage, fertility approaches replacement level, either from slightly above or slightly below it. Four alternative patterns:

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

> i 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 decUnes even though it is close to or even below replacement level (2.25 to 1.75), it is 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 lnear 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(fl) in the replacement year: TFRNRR.I = 6.702 - .1107 e(g) + .0006592 e(u.

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 deLermined in the same fashion, depending on the level of total fertility (Figure A2). 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 2&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.

These procedures were developed from preliminary analysis of total fertility trends in cross-national data (See 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
bxodi DATA AND METHoDs Figure A2. Percentage _of_ Total Fertility Assigned to Different Ages, by Level of Total Fertility <!-- Start of picture text --> 20-<br>'4-<br>20<br>10U .> 2o4 22 4 s 4 44<br>¶4<br><!-- End of picture text --> points. Countries wlich had initial sharp declines in fertility tended to continue decHning rapidly, while those that started with more gradual declines continued along the same path. Rapid and slow decline vwere AfoUnd in all regions. 'Me 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.

# _Projecging Migration_

E!stimates of future net migrants by quinquennium up to the year 2000 are those prepared by Arnold (1989) as part of an examination of data and sources. These estimates are strongly affected by official policies and plans in the major receiving countries. Ile flgures were designed to total zero in each quinquennium for the whole %,. Id. After the year 2000, the number of net migrants is assumed to approach zero linearly in eacl 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. Fcir 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 C:anada-upward or downward as necessary by a proportion constant acrcss these countries, but varying by quinquennium. These adjustments were of I 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.

'Me age-sex distributions of migrants are determined from alternative models based on their sex ratios. If migration is beavily 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, 1990).
DATA AND METHODS boociii
bOO(IV DATA AND METHODS Table A3 Sourms

|Country,<br>economy,or<br>territory|TotaL population,<br>mid-1985|Total fertility,<br>1985-90|
|---|---|---|
|Afghanistan<br>Albania<br>li|Bank est.<br>Official<br>est. (UNPVSR<br>7/86)<br> <br>|U.N. 1990 revision<br>I.N.E.D.,<br>1991<br> <br>|
|Agera<br>Angola<br> <br>|Bank est., from official<br>1/85 est.<br>U.N. 1990 revision<br>|From Bank sector report<br>6/88 est.<br>Bank est.|
|Antigua<br>and<br>Barbuda|U.N. 1990 revision|Bank est. from official<br>CBR|
|Argentina<br>Armenia|U.N. 1992 revision<br>(prelim.)<br>Bank est. from U.S.S.R.<br>1979 and 1989<br>censuses|U.N. 1992 revision<br>(prelim.)<br>Bank est. from U.S.S.R.<br>1989 census report|
|Australia<br>Austria<br>|Official<br>est. (UNPVSR<br>4/87)<br>Official<br>est. (UNPVSR<br>7/86)<br> <br>|Bank est. from official<br>COR (UNPVSR<br>10/88)<br>Bank est. based on Monier, 1988|
|Azerbaijan|Bank est. from U.S.S.R.<br>1979 and 1989<br>censuses|Bank est. from U.S.S.R.<br>1989 census report|
|Bahamas,<br>The|Official<br>est. (UNDY 1988)|Bank est. from official<br>CBR (UNPVSR<br>10/90)|
|Bahrain|Official<br>est. (CentraL<br>Stat.<br>Org, Bahrain)|Official<br>est. (Central<br>Stat.<br>Org, Bahrain)|
|Bangladesh<br>Barbados<br>|Bank est. from 1979 and 1989 censuses<br>Official<br>est. (UNPVSR)<br> <br>|Bank est. from 1989 Fertility<br>Survey<br>Bank est. from official<br>CBR|
|Belarus<br>BeLgitin<br>Bli|Official<br>est. (UNDY 1989)<br>Eurostat,<br>1989<br> <br> <br>|Official<br>est. (UNDY 1989 and UNPVSR 10/91)<br>Eurostat,<br>1990<br> <br>|
|eze|Official<br>est. (UNPVSR<br>7/86)|Bank est., based on U.S. Bureau<br>of the Census,<br>1985|
|Benin<br>Bhutan<br>|Bank projection<br>from 1979 census<br>Official<br>est. (Stat.<br>Handbook<br>of Bhutan,<br>1985)<br> <br>|Bank est. from 1961 survey and WFS<br>U.N. 1990 revision<br> <br>|
|Bolivia<br>Botswana<br>Brazil|U.N. 1992 revision<br>(prelim.)<br>Bank projection<br>from 1981 census<br>U.N. 1990 revision|U.N. 1992 revision<br>(prelim.)<br>Bank est. from 1988 DHS<br>Bank est. based on official<br>CBR and 1990<br>population|
|Brunei|Bank est. from 1981 census and 1986 official<br>est.|Bank est., based on official<br>CBR (UNPVSR<br>10/90)|
|Bulgaria<br>Burkina<br>Faso<br>Burundi<br>Cbdi|Bank est. from 1985 census (UNPVSR<br>7/91)<br>Bank est. from 1985 census (UNPVSR<br>7/91)<br>Bank projection<br>from 1979 census<br>UN 92 ii<br>i|Monnier,<br>1991<br>U.N. 1990 revision<br>U.N. 1990 revision<br> <br>|
|amoa<br>|.. revson.<br>(prelm.)<br>|U.N. 1992 revision<br>(prelim.)|
|Cameroon|Bank est. from 1976 and 1987 censuses<br>and<br>official<br>1987 est.|1991 DHS|
|Canada|Official<br>t (UNDY 1988|<br> <br>|
|<br>|<br>es. )<br>|Official<br>est. (Stat.<br>Canada)<br>|
|Cape Verde<br>l<br>|U.N. 1990 revision<br>|Bank est.<br>|
|Centra<br>African<br>Rep.|U.N. 1990 revision|Bank est.|
|Chad|U.N. 1990 revision|U.N. 1990 revision|
|Channel<br>Islands|Bank est. from 1981 and 1986 censuses|<br>Bank est. from officiel<br>CBR (UNPVSR<br>7/91)|
|Chile|U.N. 1992 revision<br>(prelim.)|U.N. 1992 revision<br>(prelim.)|
|China (excl.<br>Taiwan)|Bank est. from official<br>year-end<br>est. (State<br>Statistical<br>Bureau,<br>1990)|Bank est. from 1987 Demographic<br>Survey<br>and<br>1990 census|
|Colombia<br>Comoros|<br> <br>U.N. 1992 revision<br>(prelim.)<br>Bank rojection<br>from 1980 census<br>excl<br>Mtt|U.N. 1992 revision<br>(prelim.)<br>F Bk t<br>|
|<br>Congo,<br>People's<br>Rep. of the|p<br>,<br>.<br>ayo<br>Bank projection<br>from 1984 census|rom an secor report<br>est.<br>Official<br>est. (Ministry<br>of Econ. Planning)|
|Costa Rica|Official<br>est. (Direccion<br>General<br>de Estadistic<br>y Censos)|a<br>U.N. 1990 revision|
|Cote dlivoire<br>|<br>U.N. 1992 revision<br>(prelim.)|1988 census|
|Croatia|Official<br>est. (Statistical<br>Office,<br>Belgrade<br>1988)|Bank est. from official<br>est. (Stat.<br>Office,<br>Belgrade,<br>1988)|
DATA AND METHODS bocxv

# of Population Data

|Life expectancy,<br>1985-90|Infant<br>mortality,<br>1985-90|Age-sex<br>structure,<br>1990|Country,<br>economy,<br>or<br>territory|
|---|---|---|---|
|U.N. 1990 revision<br>Monnier,<br>1991<br>U.N. 1990 revision<br>|U.N. 1990 revision<br>Official<br>est. (UNPVSR<br>10/89-7/9<br>U.N. 1990 revision<br>|Bank est.<br>1)<br>U.N. 1990 revision<br>U.N. 1990 revision<br>|Afghanistan<br>Albania<br>Algeria<br>|
|U.N. 1990 revision<br>Bank est. from official<br>CDR|U.N. 1990 revision<br>Bank est. based on official<br>est.|U.N. 1990 revision<br>Bank est. from UNDY 1978|Angola<br>Antigua<br>and<br>Barbuda|
|U.N. 1992 revision<br>(prelim)<br>Bank est. from U.S.S.R.<br>1989<br>census report|U.N. 1992 revision<br>(prelim.)<br>Bank est. from U.S.S.R.<br>1989<br>census report|U.N. 1900 revision.<br>Bank est. from U.S.S.R.<br>1989<br>census report|Argentina<br>Armenia|
|<br>U.N. 1990 revision<br>Bank est. from official<br>CDR<br>|<br>U.N. 1990 revision<br>Official<br>est. (UNPVSR<br>7/91)<br>|<br>U.N.1990 revision<br>U.N. 1990 revision<br>|Australia<br>Austria<br>|
|Bank est. from U.S.S.R.<br>1989<br>census<br>report|Bank est. from U.S.S.R.<br>1989<br>census report|Bank est. from U.S.S.R.<br>1989<br>census report|Azerbaijan|
|<br>Bankest. from official<br>CDR<br>(UNPVSR<br>10/90)|<br>Official<br>est. (UNPVSR<br>10/91)|<br>U.N. 1992 revision<br>(prelim.)|Bahamas,<br>The|
|<br><br>Bank est. from official<br>1986 est<br>|. Official<br>est. (Central<br>Stat.<br> <br>|U.N. 1990 revision|Bahrain|
|(Central<br>Stat. Org., Bahrain)|Organization,<br>10/89)|||
|<br> <br>U.N. 1990 revision|<br><br>Official<br>est. (Bureau<br>of Stat.)|U.N. 1990 revision|Bangladesh|
|U.N. 1992 revision<br>(prelim.)<br>Official<br>est. (UNDY 1989)<br>Eurostat,<br>1990, 1991|U.N. 1992 revision<br>(prelim.)<br>Official<br>est. (UNDY 1989)<br>Eurostat,<br>1990, 1991|U.N. 1990 revision<br>Official<br>est. (UNDY 1989)<br>Eurostat,<br>1989|Barbados<br>Belarus<br>Belgiun|
|Bank est based on US Bureau|Bank est based on US Bureau|Bank est from UNDY 1978|Belize|
|., ..<br>of the Census,<br>1985|., ..<br>of the Census,<br>1985|.||
|<br>Bank est. based on WFS|<br>Bank est. from WFS|Bank est. from 1979 census|Benin|
|U.N. 1990 revision|U.N. 1990 revision|U.N. 1990 revision|Bhutan|
|U.N. 1992 revision<br>(prelim.)|U.N. 1992 revision<br>(prelim.)|U.N. 1990 revision|Bolivia|
|Bank est. based on 1988 DHS<br>U.N. 1990 revision|Bank est. from 1988 DHS<br>U.N. 1990 revision|U.N. 1990 revision<br>U.N. 1990 revision|Botswana<br>Brazil|
|Bank est. based on official<br>est.|Bank est. from official<br>est.|Bank est. from 1981 census|Brunei|
|U.N. 1990 revision|Official<br>est. (UNPVSR<br>7/91)|U.N. 1990 revision|Bulgaria|
|U.N. 1990 revision<br>|U.N. 1990 revision<br>|Bank est.<br>|Burkina<br>Faso<br>|
|U.N. 1990 revision|U.N. 1990 revision|U.N. 1990 revision|Burundi|
|U.N. 1990 revision|U.N. 1990 revision|U.N. 1990 revision|Cambodia|
|Bank est. from WFS|U.N. 1990 revision|Bank est. from 1976 census|Cameroon|
|Official<br>est. (Stat.<br>Canada)<br>U.N. 1990 revision|Official<br>est. (UNPVSR<br>7/91)<br>U.N. 1290 revision|Official<br>est. (Stat.<br>Canada)<br>U.N. 1990 revision|<br>Canada<br>Cape Verde|
|Bank est. from census|U.N. 1990 revision|Bank est. from 1975 census|Central<br>African<br>Rep|
|U.N. 1990 revision|U.N. 1990 revision|Bank est.|.<br>Chad|
|Bank est. from official<br>CDR<br>(UNPVSR<br>7/91)|OfficiaL<br>est. (UNPVSR<br>7/90)|Bank est. from UNDY 1981|Channel<br>Islands|
|<br><br>U.N. 1992 revision<br>(prelim.)<br>Bank est.|U.N. 1992 revision<br>(prelim.)<br>U.N. 1990 revision|U.N. 1990 revision<br>Bank est.|Chile<br>China (excl.<br>Taiwan)|
|U.N. 1992 revision<br>(prelim.)|U.N. 1992 revision<br>(pretim.)|U.N. 1990 revision|Colombla|
|<br>UN 1990 revision|<br>UN 1990 revision|UN 1990 revision|Comoros|
|..<br>U.N. 1990 revision|..<br>Bank est. from 1984 census|..<br>Bank est.|Congo, People's<br>R f th|
|U.N. 1990 revision|U.N. 1990 revision|U.N. 1990 revision|ep. o e<br>Costa Rica|
|1988 census|U.N. 1990 revision|U.N. 1990 revision|Cote d'lvoire|
|Bank est from official<br>est|Bank est from official<br>est|Bank est. from officiaL<br>est.|Croatia|
|.<br>.<br>(Stat.<br>Office,<br>Belgrade,<br>1988)|.<br>.<br>(Stat.<br>Office,<br>Belgrade,<br>1988)|<br> <br>(Stat.<br>Office,<br>Belgrade,<br>1988)||
boxxVi DATA AND **MErHoDs**

# Table A3 (continued)

|Country,<br>economy, or<br>territory|Total population,<br>mid-1985|Total fertility,<br>1985-90|
|---|---|---|
|Cuba|Official<br>est. (UNDY 1988)|Bank est. from official<br>CBR (UNPVSR<br>10/88,<br>10/89)|
|Cyprus|Bank est. from official<br>est. for 12/85 (UNPVS<br>4/87)|R Bank est. from official<br>CBR (UNPVSR<br>10/91)|
|Czechoslovaki<br>Dk|a U.N. 1990 revision<br> <br>1989|Monnier,<br>1991<br> <br>|
|enmar<br>|Eurostat,<br> <br>|Eurostat,<br>1989|
|Djibouti|U.N. 1990 revision|U.N. 1990 revision|
|<br>Dominica|Bank est. from 1981 and 1991 censuses|<br>Bank est. based on official<br>CBR (UNPVSR<br>10/91)|
|Dominican<br>Rep.<br>Ecuador|U.N. 1992 revision<br>(prelim.)<br>Bank est. from 1990 census|Bank est. based on 1986 DHS and 1991 DHS<br>1987 DHS|
|Egypt<br>|U.N. 1990 revision<br>|1988 DHS<br> <br>|
|El Salvador|U.N. 1990 revision|1988 Family<br>Health<br>Survey|
|Equatorial<br>Guinea|Bank projection<br>from 1983 census and 1982<br>household<br>listing|<br><br>Bank est.|
|Estonia|Bank est. from U.S.S.R.<br>1979 and 1989 censuse|s Bank est. from U.S.S.R.<br>1989 census report|
|Ethiopia<br>Fiji|Official<br>est. (Central<br>Stat. Authority,<br>1988)<br>Bank est., from 1986 census|Official<br>est. (Central<br>Stat. Authority,<br>1988)<br>Bank est., based on U.S. Bureau of the Census,<br>1989|
|Finland|Official<br>est. (UNDY<br>1988)|Bank est. from official<br>CBR (UNPVSR<br>10/90,<br>7/91)|
|France|Eurostat<br>1989|Eurostat<br>1989 1990|
|<br>French Polynesi|,<br> <br>a Bank est. from official<br>1985 est. (UNPVSR|,<br>,<br>Bank est., based on U.S. Bureau<br>of the Census,|
||10/88)|1989 and official<br>CBR (UNPVSR<br>10/89)|
|Gabon|<br>Bank projection<br>from 1981 census|,<br> <br><br>Bank est.|
|Gambia,<br>The|<br>Bank projection<br>from 1983 census|Bank est.|
|Gaza Strip|U.N. 1990 revision|Bank est. from CBR for Gaza (West Bank Date Base<br>Project)|
|Georgia|Bank est. from U.S.S.R.<br>1979 and 1989 censuses|Bank est. from U.S.S.R.<br>1989 census report|
|Germany|Eurostat,<br>1991|Eurostat<br>1990 (for Fed. Rep.)|
|Ghana|Official<br>est.|1988 DHS|
|Greece|Eurostat,<br>1991|Bank est. based on Eurostat,<br>1989, 1990|
|Grenada|Official<br>est. (O.E.C.S.<br>Statistical<br>Digest,<br>1987)|Bank est. from 1980-85<br>official<br>est. (Ministry<br>of<br>Finance)|
|Guadeloupe|<br>Bank est. from 1982 and 1990 censuses|Bank est. from CBR and growth rate|
|Guam|U.S. Bureau of the Census,<br>1988|Bank est., based on U.S. Bureau of the Census,<br>1989<br>and official<br>CBR (UNPVSR<br>10/91)|
|Guatemala|U.N. 1990 revision|,<br> <br> <br><br>1987 DHS|
|Guinea|U.N. 1990 revision|Bank est.|
|Guinea-Bissau<br>|Bank projection<br>from 1979 census<br> <br> <br>|Bank est.<br> <br>|
|Guyana|Official<br>est. (UNPVSR<br>10/90)|Bank est. from official<br>CBR|
|<br>Haiti<br>|U.N. 1990 revision|U.N. 1990 revision|
|Honduras|U.N. 1990 revision|U.N. 1990 revision|
|Hong Kong|U.N. 1990 revision|<br>Bank est. based on official<br>CBR (UNPVSR<br>7/89)|
|Hungary<br>Iceland|Official<br>est. (Central<br>Stat. Office,<br>1987)<br>Official<br>est. (UNPVSR<br>7/86)|<br><br>Nonnier,<br>1991<br>Bank est. based on official<br>CBR|
|India|<br> <br>Bank est. from 1981 and 1991 censuses|<br><br>U.S. Bureau of the Census,<br>1987|
|Indonesia|Bank est. from 1990 census|<br>Bank est. from 1987 and 1991 DHS|
|Iran, Islamic<br>Rep of|Bank est. from 1986 census|Bank est. based on U.S. Bureau of the Census,<br>1989<br>and rowth<br>rate|
|.<br>Iraq|U.N. 1990 revIsion|,<br>g<br><br>U.N. 1990 revision|
DATA AND METHODS bolxvii Country, economy, or Life expectancy, 1985-90 Infant mortality, 1985-90 Age-sex structure, 1990 territory U.N. 1992 revision (prelim.) Bank est. from official est. U.N. 1990 revision Cuba (UNPVSR 10/88, 10/89) U.N. 1990 revision Bank est. from official est. U.N. 1990 revision Cyprus (UNPVSR 10/90) U.N. 1990 revision Official est. (UNPVSR 7/91) U.N. 1990 revision Czechoslovakia Eurostat, 1989 Eurostat, 1990, 1991 Eurostat, 1989 Dernmark U.N. 1990 revision U.N. 1990 revision U.N. 1990 revision Djibouti Bank est. from official CDR Bank est. from official est. Official est. (UNDY 1988) Dominica (UNPVSR 10/91) U.N. 1992 revision (prelim.) Bank est. from 1986 DHS U.N. 1990 revision Dominican Rep. U.N. 1990 revision 1987 DHS U.N. 1990 revision Ecuador U.N. 1990 revision 1988 DHS U.N. 1990 revision Egypt U.N. 1990 revision U.N. 1990 revision U.N. 1990 revision El Salvador Bank est. U.N. 1990 revision Bank est. Equatorial Guinea Bank est. from U.S.S.R. 1989 Bank est. from U.S.S.R. 1989 Bank est. from U.S.S.R. 1989 Estonia census report census report census report From Bank sector report est. U.N. 1990 revision U.N. 1990 revision Ethiopia U.N. 1990 revision U.N. 1990 revision U.N. 1990 revision Fiji Bank est. from official CDR Monner, 1988 U.N. 1990 revision Finland (UNPVSR 10/90, 7/91) Eurostat, 1989 Eurostat, 1989, 1990, 1991 Eurostat, 1989 France Bank est. based on U.S. Bureau Bank est. based on U.S. Bureau Bank est. French Polynesia of the census 1989; official CDR of the census 1989 Bank est. U.N. 1990 revision Bank est. Gabon Bank est. U.N. 1990 revision Bank est. Gambia, The U.S. Bureau of the Census, 1988 U.S. Bureau of the Census, 1988 Bank est. Gaza Strip Bank est. from U.S.S.R. 1989 Bank est. from U.S.S.R. 1989 Bank est. from U.S.S.R. 1989 Georgia census report census report census report Eurostat, 1990 (for Fed. Rep.) Eurostat, 1991 Eurostat, 1989 (Fed. Rep.), Germany U.N. 1990 revision (Dem. Rep.) U.N. 1990 revision U.N. 1990 revision Bank est. from 1970 census Ghana Bank est. based on official CDR Eurostat, 1991 Eurostat, 1989 Greece Bank est. from 1980-85 official Bank est. Bank est. Grenada est. (Ministry of Finance) U.N. 1990 revision Bank est. from official est. U.N. 1990 revision Guadeloupe (UNPVSR 4/90) Bank est. based on U.S. Bureau Bank est. based on U.S. Bureau Bank est. Guam of the Census, 1989 of the Census, 198S U.N. 1990 revision 1987 DHS U.N. 1990 revision Guatemala U.N. 1990 revision U.N. 1990 revision U.N. 1990 revision Guinea Bank est. U.N. 1990 revision Bank est. Guinea-Bissau U.N. 1990 revision U.N. 1990 revision U.N. 1990 revision Guyana U.N. 1990 revision U.N. 1990 revision U.N. 1990 revision Haiti U.N. 1990 revision U.N. 1990 revision U.N. 1990 revision Honduras U.N. 1990 revision Official est. (UNPVSR 10/90) U.N. 1990 revision Hong Kong U.N. 1990 revision Official est. (UNPVSR 10/91) Bank est. from 1980 census Hungary U.N. 1990 revision Official est. (UNPVSR 7/91) U.N. 1990 revision Iceland U.N. 1990 revision U.N. 1990 revision Bank est. from 1981 census India Bank est. from 1987 and 1991 DHS, Bank est. from 1987 and 1991 DHS, Bank est. from 1990 census Indonesia and 1990 census and 1990 census U.S. Bureau of the Census, 1989 U.S. Bureau of the Census, 1989 Bank est. Iran, Islamic Rep. of U.N. 1990 revision U.N. 1990 revision U.N. 1990 revision Iraq
lbOxill DATA AND METHODS

# Table A3 (continued)

|Country,<br>economy,<br>or<br>territory|Total population,<br>mid-1985|Total fertility,<br>1985-90|
|---|---|---|
|Ireland<br>Israel<br>Italy<br>Jamaica<br>Japan|Eurostat,<br>1989<br>Official<br>est. (UNPVSR<br>1/87)<br>Eurostat,<br>1989<br>U.N. 1990 revision<br>Official<br>est. (UNPVSR<br>4/87)|Eurostat<br>1989, 1991<br>U.N. 1992 revision<br>(prelim.)<br>Eurostat<br>1989, 1990,<br>1991.<br>Bank estimate<br>based on CBR<br>OfficiaL<br>est. (Ministry<br>of Health and Welfare)|
|Jordan|Bank est. from official<br>est. (Stat.<br>Yearbook,<br>1987)|Bank est. 1983 Family<br>Health Survey<br>and 1990 DHS|
|Kazakhstan|Bank est. from U.S.S.R.<br>1979 and 1989<br>censuses|Bank est. from U.S.S.R.<br>1989 census report|
|Kenya<br>Kiribati|Official<br>est.<br>Official<br>est. (UNPVSR<br>1/88)|1989 DHS<br>Bank est. based<br>on U.S. Bureau of the Census,<br>1989|
|Korea,<br>People's<br>Den. Rep. of|U.N. 1990 revision|U.N. 1990 revision|
|<br>Korea,<br>Rep. of<br>Kuwait|Official<br>est. (Econ.<br>Planning<br>Bureau,<br>1988)<br>Official<br>est. (UNPVSR<br>4/87)|Bank est. from official<br>CBR (UNPVSR<br>1/89)<br>U.N. 1990 revision|
|Kyrgyzstan|Bank est. from U.S.S.R.<br>1979 and 1989<br>censuses|Bank est. from U.S.S.R.<br>1989 census report|
|Lao People's<br>Den Rep|U.N. 1990 revision|U.N. 1990 revision|
|. .<br>Latvia|Bank est. from U.S.S.R.<br>1979 and 1989<br>censuses|Bank est. from U.S.S.R.<br>1989 census report|
|Lebanon<br>Lesotho<br>Liberia<br>|U.N. 1990 revision<br>Bank projection<br>from 1986 census<br>U.N.1990 revision<br>|U.N.1990 revision<br>Bank est. from 1977 WFS<br>1986 DHS<br>|
|Libya<br>Lithuania|U.N. 1990 revision<br>Bank est. from U.S.S.R. 1979 and 1989<br>censuses|U.N. 1990 revision<br>Bank est. from U.S.S.R. 1989 census report|
|Luxembourg<br>Macao<br>Madagascar|Eurostat, 1991<br>Official<br>est.(UNPVSR<br>4/87)<br>Official<br>est.(UNPVSR<br>10/90)|Eurostat 1989, 1990, 1991.<br>Bank est. from official<br>CBR(UNPVSR<br>10/89, 10/90)<br>Bank assessment<br>of 1980 survey|
|Malawi<br>|Bank est. from 1987 census<br>|Bank est. from 1977 census|
|Malaysia<br>Maldives|Official<br>est. (Dept.<br>of Stat.)<br>Bank projection<br>from 1985 census|U.N. 1990 revision<br>Bank est. from official<br>CBR for 1980-1985|
|Mali<br>|Bank projection<br>from 1976 census<br>|1987 DHS<br> <br> <br>|
|Malta<br>Martinique<br>Mauritania<br>Mauritius|U.N.1990 revision<br>U.N. 1992 revision<br>(prelim.)<br>Bank projection<br>from 1988 census<br>U.N. 1990 revision|Bank est. from official<br>CBR(UNPVSR<br>10/89, 10/90)<br>U.N.1992 revision<br>(prelim.)<br>Official<br>est. from 1988 census<br>U.N. 1990 revision|
|Mexico<br>Micronesia,<br>Fed.<br>States of|Official<br>est. (UNPVSR<br>4/87)<br>Official<br>est. (ESCWA<br>Stat.<br>Yearbook<br>for Asia<br>and the Pacific,<br>1988)|U.N. 1990 revision<br>Bank est. based on U.S. Bureau of the Census,<br>1989|
|Moldova|<br> <br>Bank est. from U.S.S.R.<br>1979 and 1989<br>censuses|Bank est. from U.S.S.R.<br>1989 census report|
|Mongolia<br>Montserrat|Bank projection<br>from 1989 census<br>Official<br>est.(UNDY<br>1986)|U.N. 1990 revision<br>Bank est. from official<br>CBR(UNPVSR<br>1/87)|
|Morocco<br>Mbi|Dank est. from official<br>est.<br> <br>|Bank est. from 1987 DHS<br>|
|ozamque<br>Myanmar|Bank projection<br>from 1980 census<br>UN 1990 revision|Bank est.<br>UN 1990 revision|
|<br>Namibia|..<br>U.N. 1990 revision|..<br>U.N. 1990 revision|
> DATA AND METHoDs bcIxlx

|Life expectancy,<br>1985-90|Infant<br>mortality,<br>1985-90|Age-sex<br>structure,<br>1990|Country,<br>economy, or<br>territory|
|---|---|---|---|
|Bank est. based on official<br>CDR<br>U.N. 1992 revision<br>(prelim.)<br>Eurostat<br>1990, 1991<br>U.N. 1990 revision<br>OfficiaL<br>est. (Ministry<br>of<br>Health<br>and Welfare)|Eurostat,<br>1991<br>Official<br>est. CUNPVSR<br>10/91)<br>Eurostat,<br>1990, 1991<br>U.N. 1990 revision<br>U.N. 1990 revision|Eurostat,<br>1989<br>U.N. 1990 revision<br>Eurostat,<br>1989<br>U.N. 1990revision<br>Official<br>est. (Ministry<br>of<br>Health<br>and Welfare)|Ireland<br>Israel<br>Italy<br>Jamaica<br>Japan|
|<br>U.N. 1990 revision<br>Bank est. from U.S.S.R.<br>1989<br>census<br>report|U.S. Bureau<br>of the Census,<br>1989<br>Bank est. from U.S.S.R.<br>1989<br>census report|<br>Bank est.<br>Bank est. from U.S.S.R.<br>1989<br>census report|Jordan<br>Kazakhstan|
|<br>U.N. 1990 revision<br>Bank est. based on U.S. Bureau<br>of the Census,<br>1989|<br>U.N. 1990 revision<br>Bank est. based on U.S. Bureau<br>of the Census,<br>1989|<br>U.N. 1990 revision<br>Bank est.|Kenya<br>Kiribati|
|<br>U.N. 1990 revision|<br>U.N. 1990 revision|U.N. 1990 revision|Korea,<br>People's<br>Dem Re of|
|U.N. 1990 revision<br>U.N. 1990 revision|Bank est., based on official<br>CDR<br>Bank est. from official<br>est.<br>(UNPVSR<br>10/90)|U.N. 1990 revision<br>U.N. 1990 revision|. p.<br>Korea,<br>Rep. of<br>Kuwait|
|Bank est. from U.S.S.R.<br>1989<br>census report|<br><br>Bank est. from U.S.S.R.<br>1989<br>census report|Bank est. from U.S.S.R.<br>1989<br>census<br>report|Kyrghyzstan|
|<br>U.N. 1990 revision|<br>U.N. 1990 revision|<br><br>U.N. 1990 revision|Lao People's<br>D R|
|Bank est. from U.S.S.R.<br>1989<br>t|Official<br>est. (UNPVSR<br>10/91)|Bank est. from U.S.S.R.<br>1989<br> <br>t|em. ep.<br>Latvia|
|census repor<br>U.N. 1990 revision<br>official<br>est.<br>U.N. 1990 revision<br>U.N. 1990 revision<br>Bank est. from U.S.S.R.<br>1989<br>census reort|U.N. 1990 revision<br>U.N. 1990 revision<br>U.N. 1990 revision<br>U.N. 1990 revision<br>Official<br>est. (UNPVSR<br>10/91)|census<br>repor<br>U.N. 1990 revision<br>U.N. 1990 revision<br>U.N. 1990 revision<br>U.N. 1990 revision<br>Bank est. from U.S.S.R.<br>1989<br>census reort|Lebanon<br>Lesotho<br>Liberia<br>Libya<br>Lithuania|
|p<br>Eurostat,1990.1991<br>Bank est.|Eurostat,<br>1990,<br>1991<br>Bank est.|p<br>Eurostat,<br>1989<br>Bank est.|Luxembourg<br>Macao|
|Bank est. from 1980 and 1984<br>surveys|U.N. 1990 revision|U.N. 1990 revision|Madagascar|
|U.N. 1990 revision<br>Bank est. from official<br>est.<br>Bank est. from 1990 census|U.N. 1990 revision<br>Bank est. from official<br>est.<br>Bank est. from 1990 census|Bank est.<br>U.N. 1990 revision<br>Bank est.|Malawi<br>Malaysia<br>Maldives|
|Bank est. from 1976 census<br>|U.N. 1990 revision<br> <br> <br>|Bank est.<br>|Mali<br>|
|U.N. 1990 revision|Official<br>est. (UNPVSR<br>10/90)|U.N. 1990 revision|Malta|
|U.N. 1992 revision<br>(prelim.)<br>U.N. 1990 revision<br>Bank est. based onofficial<br>est.<br>tUNPVSR<br>7/86)|U.N. 1992 revision<br>(prelim.)<br>U.N. 1990 revision<br>U.N. 1990 revision|U.N. 1990 revision<br>Bank est.<br>U.N. 1990 revision|Martinique<br>Mauritania<br>Mauritius|
|<br><br>J.N. 1990 revision<br>Bank est. based on U.S. Bureau<br>oftheCensus1989|U.N. 1990 revision<br>Bank est. based on U.S. Bureau<br>of the Census<br>1989|U.N. 1990 revision<br>Bank est. based on U.S. Bureau<br>of the Census<br>1989|Hexico<br>Micronesia,<br>Fed.<br>States of|
|, <br>BanktSt.<br>fs-om U.S.S.R. 1989<br>census reort|,<br> <br>Bank est. from U.S.S.R. 1989<br>census reort|,<br> <br>Bank est. from U.S.S.R. 1989<br>census reort|<br>Moldova|
|p<br>U.N. 1990 revision<br>Bank est., based on official<br>t UNPVSR<br>1/87|p<br>U.N. 1990 revision<br>Bank est.|p<br>U.N. 190M revision<br>UNDY 1988|Mongolia<br>Montserrat|
|es. (<br>)<br>U.N. 1990 revision|Bank est. from 1988 DNS|U.N. 1990 revision|Morocco|
|Bank est. from official<br>CDR<br>UN 199G ii|U.N. 1990 revision<br>UN 1990 ii|U.N. 1990 revision<br>UN 1990 ii|Mozambique<br>M|
|.. revson<br>U.N. 1990 revision|.. revson<br>U.N. 1990 revision|.. revson<br>U.N. 1990revision|yamar<br>Namibia|
XC DATA AND METHODS

# Table A3 (continued)

|Country,<br>economy, or<br>territory|Total population, mid-1985|Total fertility,<br>1985-90|
|---|---|---|
|Nepal<br>Netherlands<br>Netherlands<br>Antilles<br>New Caledonia<br>New ZeaLand<br>Nicaragua<br>Niger<br>Nigeria<br>Norway<br>Oman<br>Pakistan<br>Panama<br>Papua New Guinea|Official<br>est. (Central Bureau of Stat.)<br>Eurostat, 1991<br>Bank est. from 1971 and 1981 censuses<br>Bank est. from 1983 censusand1986 offIcial<br>est (UNPVSR<br>10/89)<br>Bank est. from official<br>1985 est.<br>U.N. 1990 revision<br>Bank projection of 1988 census<br>Bank projection from 1963 census<br>Official<br>est. (UNPVSR<br>7/86)<br>U.N. 1990 revision<br>Bank est. from U.N.1990revision<br>U.N. 1990 revision<br>U.N. 1990 revision|Bank est. from survey<br>Eurostat 1989, 1991<br>Bank est. based on U.S. Bureau of the Census,<br>1987, and official<br>CBR (UNPVSR<br>10/90)<br>Bank est. based on U.S. Bureau of the Census,<br>1989<br>U.N. 1990 revision<br>U.N. 1990 revision<br>U.N. 1990 revision<br>Bank est. from 1991 DHS<br>Bank est. from official<br>CBR (UNPVSR<br>10/88-9/91)<br>U.N. 1990 revision<br>Bank est. based on growth rate<br>U.N. 1990 revision<br>U.N. 1990 revision|
|Paraguay<br>Peru<br>Philippines<br>Poland<br>Portugal<br>Puerto Rico<br>Qatar|U.N. 1990 revision<br>Bank projection<br>from 1981 census<br>Bank est. from official<br>est. (UNPVSR<br>10/88)<br>Official<br>est. tUNPVSR<br>7/86)<br>Eurostat, 1991<br>U.N. 1992 revision (prelim.)<br>Bank est. from 1986 census and 1989 official<br>est. (UNPVSR<br>10/90)|1990 DHS<br>Bank est. from Bank assessment for 1980-85<br>Bank est. from official<br>est. (Nat. Stat. Office)<br>Nonnier, 1991<br>Eurostat 1989, 1991<br>Bank est. from official<br>CBR<br>Bank est. from official<br>CBR (UNPVSR<br>10/90)|
|Reunion<br>Romania|<br><br>U.N. 1990 revision<br>Official<br>est. (UNPVSR<br>10/89)|U.N. 1990 revision<br>Official<br>est. (Stat. Yearbook of Romania,1990)|
|Russian Fed.|Bank est. from U.S.S.R. 1979 and 1989<br>censuses|Bank est. from U.S.S.R. 1989 census report|

Rwanda U.N. 1990 revision Sao Tome and Bank est. from 1981 and 1991 censuses Principe Saudi Arabia Bank est. Senegal Bank est. from 1988 census Seychelles Official est. (Stat. Bulletin of MIS Division) Sierra Leone Bank est. from 1985 census Singapore Bank est. from 1980 and 1990 censuses Slovenia Official est. (Statistical Office, Belgrade 1988) Solomon Islands Bank est. from 1986 census U.N. 1990 revision Bank est.

Saudi Arabia Bank est. U.N. 1990 revision Senegal Bank est. from 1988 census 1986 DHS Seychelles Official est. (Stat. Bulletin of MIS Division) Bank est. from official CBR Sierra Leone Bank est. from 1985 census Bank est. from 1974 census Singapore Bank est. from 1980 and 1990 censuses Bank est. from official CBR (UNPVSR 1/89, 10/89) Slovenia Official est. (Statistical Office, Belgrade Bank est. from official est. (Stat. Office, 1988) Belgrade, 1988) Solomon Islands Bank est. from 1986 census U.N. 1992 revision (prelim.) Somalia Bank est. from 1987 census Bank est. South Africa U.N. 1990 revision U.N. 1990 revision Spain Eurostat, 1991 Bank est. from official CBR, and Eurostat, 1989, 1991 Sri Lanka Official est. (UNPVSR 4/87) 1987 DHS St. Kitts and Official est. (Statistics office, Plaming Bank est. from official CBR (Statistics Office, Nevis Unit) Planning Unit) St. Lucia Official est. (UNPVSR 1/88) Bank est. from official CBR st. Vincent and Bank est. from 1980 and 1991 censuses Bank est. from official CBR tUNPVSR 10/89, 10/91) the Grenadines Sudan Bank projection from 85 census U.N. 1990 revision Suriname Official est. (Central Bureau of Civil Bank est. from official CBR (Central Bureau of Affairs) Civil Affairs) Swaziland U.N. 1990 revision U.N. 1991 revision Sweden Official est. (UNPVSR 4/87) Bank eat. from official CBR (UNPVSR 10/89, 10/90)
DATA AND METHODS XCI

|Life expectancy,<br>1985-90|Infant<br>mortaLity,<br>1985-90|Age-sex<br>structure,<br>1990|Country,<br>economy,<br>or<br>territory|
|---|---|---|---|
|U.N. 1990 revision<br>U.N. 1990 revision<br>Bank est. based on U.S. Bureau<br>of the Census<br>and UNPVSR 10/90|Govermnent<br>Survey<br>Eurostat,<br>1989, 1990, 1991<br>Official<br>est. (UNPVSR<br>10/90)<br>|Bank est.<br>Eurostat,<br>1989<br>UNDY 1988|Nepal<br>Netherlands<br>Netherlands<br>Antilles|
|<br> <br>Bank est. based on U.S. Bureau<br>of the Census 1989|<br>Bank est. based<br>on U.S. Bureau<br>of the Census<br>1989|Bank est.|New CaLedonia|
|,<br>U.N. 1990 revision<br>|,<br><br>U.N. 1990 revision<br>|U.N. 1990 revision<br>|New Zealand<br>|
|U.N. 1990 revision<br>UN 1990 revision|U.N. 1990 revision<br>UN 1990 revision|U.N. 1990 revisfon<br>Bank est|Nicaragua<br>Niger|
|..<br>U.N. 1990 revision|..<br>U.N. 1990 revision|.<br>U.N. 1990 revislon|Nigeria|
|U.N. 1990 revision|Official<br>est. (UNPVSR<br>10/88-7/9|1)<br>U.N. 1990 revision<br>|Norway|
|U.N. 1990 revision|U.N. 1990 revisfon|U.N. 199' revision|Oman|
|<br>Bank est.|Official<br>est. (UNPVSR<br>7/91)|Bank est.|Pakistan|
|U.N. 1990 revision<br>U.N. 1990 revision|U.N. 1990 revIsion<br>U.N. Stat. Yearbook<br>for Asia and<br>Pifi<br>1988|U.N. 1990 revision<br>U.N. 1990 revision|Panama<br>Papua New Guinea|
|U.N. 1990 revision<br>|acc,<br><br>1990 DHS<br>|U.N. 1990 revision<br>|Paraguay<br>|
|Bank est.|1986 DHS|U.N. 1990 revisIon|Peru|
|Bank est.<br>Bank est. from official<br>CDR<br>Eurostat<br>1989, 1990&1991<br>Bank est. based on CDR<br>U.N. 1990 revision|U.N. 1990 revision<br>Officlal<br>est. (UNPVSR<br>7/91)<br>Eurostat,<br>1989, 1990, 1991<br>Official<br>est. (UNPVSR<br>10/91)<br>U.N. 1990 revision|U.N. 1990 revision<br>U.N. 1990 revision<br>Eurostat,<br>1989<br>U.N. 1990 revision<br>U.N. 1990 revision|Philippines<br>Poland<br>Portugal<br>Puerto Rico<br>Qatar|
|U.N. 1990 revision<br>Official<br>est. (Stat.<br>Yearbook<br> <br>|U.N. 1990 revision<br>Official<br>est.|U.N. 1990 revision<br>U.N. 1990 revision|Reunion<br>Romania|
|of Romania,<br>1991)<br>Bank est. from U.S.S.R.<br>1989<br>census report|Bank est. from U.S.S.R.<br>1989<br>census report|Bank est. from U.S.S.R.<br>1989<br>census report|Russian<br>Fed.|
|<br>U.N. 1990revision<br>Bank est. from official<br>CDR<br> <br>|<br>U.N. 1990 revisfon<br>Bank est. from official<br>est.<br> <br>|<br>U.N. 1990 revision<br>lank est.|Rwanda<br>Sao Tome and<br>|
|(UNPVSR<br>7/89)<br>U.N. 1990 revision<br>Bank est|(UNPVSR<br>7/89)<br>U.N. 1990 revisfon<br>UN 1990 revision|U.N. 1990 revIsion<br>Official<br>est.|Principe<br>Saudi<br>Arabia<br>Senegal|
|.<br>Bank est.|..<br>Official<br>est.|<br> <br>UNDY 1984|Seychelles|
|U.N. 1990 revision|U.N. 1990 revision|Bank est.|Sierra<br>Leone|
|U.N. 1990 revision<br>Bank est. from official<br>est.<br>(Stat.<br>Office,<br>Belgrade,<br>1988)<br>Bank est. from official<br>1980-84<br> <br> <br>|Official<br>est. (UNPVSR<br>1/89)<br>Bank est. from official<br>est.<br>(Stat.<br>Office,<br>Belgrade,<br>1988)<br>Bank est.|U.N. 1990 revision<br>Bank est. from official<br>est.<br>(Stat.<br>Office,<br>Belgrade,<br>1988)<br>Bank est.|Singapore<br>Slovenia<br><br>Solomon<br>Islands|
|est. (Stat.<br>Bulletin,<br>Noniara)<br>Bank est|UN 1990 revision|Bank est|Somalia|
|.<br>U.N. 1990 revision<br>Eurostat,<br>1991|..<br>U.N. 1990 revision<br>Bank est. based on Eurostat,<br>1989 1990<br>1991|.<br>U.N. 1990 revision<br>Eurostat,<br>1989|South Africa<br>Spain|
|U.N. 1990 revision<br>Bank est. from official<br>CDR<br> <br> <br> <br>|, ,<br><br>Bank est. from 1987 DNS<br>Bar.k<br>est. from official<br>est.|U.N. 1990 revision<br>Official<br>est. from 1980 census|Sri Lanka<br>St. Kitts and<br>|
|(Stat.<br>Office,<br>Planning<br>Unit)<br>Bank est. from official<br>CDR<br>Bank est from official<br>CDR|Bank est. from official<br>est.<br>Official<br>est (UNPVSR<br>10/89|Official<br>est. from 1980 census<br>UNDY 1983|Nevis<br>St. Lucia<br>St. Vincent<br>and|
|.<br> <br>(UNPVSR<br>10/89,<br>10/91)|<br>.<br>,<br>10/91)||<br><br>the Grenadines|
|<br> <br> <br>1990 ii|<br>UN 1990 ii|UN 1990 ii|Sdn|
|U.N. revson<br>Bank est. from official<br>ZOR,<br> <br>|.. revson<br>Bank est.<br>|.. revson<br>U.N. 1990 revision|ua<br>Suriname|
|(Central<br>Bureau of Civil Affair<br>Bk t|)<br>Bnk est|Bank est|Swaziland|
|an es.<br>U.N. 1990 revision|a .<br>Official<br>est. (UNPVSR<br>10/88-7/91|.<br>)<br>U.N. 1990 revision|Sweden|
xcii DATA AND METHODS Table A3 (continued)

|Country,<br>economy,<br>or<br>territory|Total population,<br>mid-1985|Total fertility,<br>1985-90|
|---|---|---|
|Switzerland|Official<br>est. (UNDY 1988)|Bank est from official<br>CBR (PVSR 10/90,<br>10/91)|
|Syrian<br>Arab Rep.<br>Taiwan,<br>China<br>Tajikistan|U.N. 1992 Rev. (Prelim.)<br>Bank est. based on official<br>year-end<br>est.<br>(Stat. Data Book, 1987)<br>Bank est. from U.S.S.R. 1979 and 1989<br>censuses|U.N. 1992 revision<br>(preLim.)<br>Bank est. from officiai<br>CBR (Taiwan<br>Stat. Data<br>Book, 1987)<br>Bank est. from U.S.S.R. 1989 census report|
|Tanzania<br>Thailand|Bank est. from 1978 and 1988 censuses<br>Official<br>est. (Nat Econ and Soc Dev Board,<br>1985)|From Bank sector report est.<br>U.N. 1990 revision|
|Togo<br>|Bank projection<br>of 1981 census<br> <br>|1987 OHS|
|Tonga|Bank projection<br>from 1984 mini-census|Bank est. based on U.S. Bureau of the Census,<br>1989|
|Trinidad<br>and<br>Tobago|U.N. 1992 revision<br>(prelim.)|Bank est. based on 1987 DHS|
|Tunisia<br>Turkey|Official<br>est. (UNPVSR<br>1/88)<br>Official<br>est. (Social<br>Indicators,<br>Turkey,<br>1990)|Bank est, based on 1988 DHS<br>Bank est. from official<br>CBR (UNPVSR<br>10/91)|
|Turkmenistan|Bank est. from U.S.S.R.<br>1979 and 1989<br>censuses|Bank est. from U.S.S.R.<br>1989 census report|
|Uganda|Bank projection<br>from 1969, 1980,<br>and 1991<br>censuses|1988/89<br>DHS|
|Ukraine|Official<br>est. (UNDY 1989)|Official<br>est. (UNDY 1989)|
|United<br>Arab<br>Emirates|U.N. 1990 revision|U.N. 1990 revision|
|United<br>Kingdom<br>|Eurostat,<br>1991|Eurostat<br>1989, 1991|
|United<br>States of<br>America|Official<br>est. (UNDY 1989)|Official<br>est. (Nat.<br>Center for Health Stat.)|
|Uruguay<br>Uzbekistan|Official<br>est. from 1985 census<br>Bank est. from U.S.S.R.<br>1979 and 1989<br>censuses|Bank est. from official<br>est.<br>Bank est. from U.S.S.R.<br>1989 census report|
|Vanuatu|Bank est. from 1979 and 1989 censuses|Bank est. based on U.S. Bureau of the Census,<br>1989|
|Venezuela<br>|Official<br>est. (UNPVSR<br>1/87)|U.N. 1990 revision|
|Viet Nam|Bank est. from 1989 census|Bank est. from 1989 census|
|Virgin Islands<br>(U.S.)|U.S. Bureau of the Census,<br>1985|Bank est. from official<br>COR (UNPVSR<br>4/90)|
|West Bank|U.S. Bureau of the Census,<br>1989|U.S. Bureau of the Census,<br>1989|
|Western<br>Samoa|Bank est. from 1986 census|Bank est. from 1986 census|
|Yemen,<br>Rep. of|Bank est. from 1988 census<br>Yemen P.D.R.<br>and<br>1986 census for Yemen<br>A.R.|Bank est. based on U.N. 1990 revision|
|Yugoslavia|Official<br>est. (Statistical<br>Office,<br>Belgrade<br>|<br>Bank est. from official<br>est. (Stat.<br>Office,<br> <br>|
||1988)|Belgrade,<br>1988)|
|Zaire<br>|U.N. 1992 revision<br>(prelim.)<br>|<br><br>Bank est.|
|Zambia|Bank projection<br>from 1980 census|From Bank sector report<br>est.|
|Zimbabwe|Bank projection<br>from 1982 census|<br>1988 OHS|
DATA AND METHODS xciii

|Life expectancy,<br>1985-90|Infant<br>mortality,<br>1985*90|Age-sex structure,<br>1990|Country,<br>economy, or<br>territory|
|---|---|---|---|
|Bank est. from official<br>est.<br>(UNPVSR<br>10/90, 10/91;<br>UNDY 1987|Official<br>est. (UNPVSR<br>7/91)<br>)|U.N. 1990 revision|SwItzerland|
|<br> <br> <br>U.N. 1992 revision<br>(prelim.)<br>Re|<br>U.N. 1992 revision<br>(prelim.)|U.N. 1990 revision|Syrian Arab|
|p.<br>Bank est. from official<br>CDR<br>(Taiwan<br>Stat.<br>Data Book, 1987)<br>Bank est. from U.S.S.R.<br>1989<br>census report<br>From Bank sector report est.<br>Based on official<br>proj. 1985|Bank est., based on U.S. Bureau<br>of the Census,<br>1987<br>Bank est. from U.S.S.R.<br>1989<br>census<br>report<br>From Bank sector report est.<br>Based<br>on 1987 DHS|Official<br>est. (Taiwan<br>Stat.<br>Data Book, 1987)<br>Bank est. from U.S.S.R.<br>1989<br>census<br>report<br>Bank sector report est.<br>U.N. 1990 revision|Taiwan,<br>China<br>Tajikistan<br>Tanzania<br>Thailand|
|U.N. 1990 revision<br>Bank est.|U.N. 1990 revision<br>Bank est., based<br>on U.S. Bureau<br>of the Census<br>1989|Bank est.<br>Bank est.|Togo<br>Tonga|
|U.N. 1992 revision<br>(prelim.)|,<br><br>Bank est. based on 1987 DHS|U.N. 1990 revision|Trinidad<br>and<br>'bao|
|U.N. 1990 revision<br>Official<br>est. from 1985 census|Official<br>est. from 1985 census|U.N. 1990 revision<br>U.N. 1990 revision|,g<br>Tunisia<br>Turkey|
|Bank est. from U.S.S.R.<br>1989<br>census report<br>Bank est.|Bank est. from U.S.S.R.<br>1989<br>census<br>report<br>U.N. 1990 revision|Bank est. from U.S.S.R.<br>1989<br>census report<br>Bank est.|Turkmenistan<br>Uganda|
|Official<br>est. (UNDY 1989 and<br>UNPVSR 10/91)|Official<br>est. (UNDY<br>1989)|UNDY 1989|Ukraine|
|<br>U.N. 1990 revision|U.N. 1990 revision|U.N. 1990 revision|United<br>Arab<br>Emirates|
|Eurostat,<br>1991<br>OfficIal<br>est. (Nat.<br>Center for<br>of|Eurostat,<br>1989, 1990, 1991<br>Official<br>est. (Nat. Center<br>for|Eurostat, 1989<br>U.N. 1990 revision|United Kingdom<br>United States|
|Health<br>Stats.,<br>and Census Burea<br>Official<br>est. from 1985 census<br>Bank est. from U.S.S.R.<br>1989<br>census report<br>Bank est.|u)<br>Health Stats.,<br>and Census<br>Bureau<br>U.N. 1992 revision<br>(prelim.)<br>Bank est. from U.S.S.R.<br>1989<br>census report<br>Bank est. from official<br>est.|)<br>U.N. 1990 revision<br>Bank est. from U.S.S.R.<br>1989<br>census report<br>Bank est.|America<br>Uruguay<br>Uzbekistan<br>Vanuatu|
|U.N. 1990 revision<br>Bank est, based on 1988 survey<br>Bank est. from official<br>CDR<br>(UNPVSR<br>4/90)|U.N. 1990 revision<br>Bank est. from 1989 census<br>Official<br>est. (UNPVSR<br>10/91)|U.N. 1990 revision<br>Bank est. from 1989 census<br>Official<br>est. from 130 census|Venezuela<br>Viet Nam<br>Virgin Islands<br>(US)|
|<br> <br>U.S. Bureau<br>of the Census,<br>1989<br>Bank est. from official<br>1986 est<br>Bank est. based on U.N. 1990|U.S. Bureau<br>of the Census, 1989<br>. Bank est. based on official<br>est.<br>Bank est. based on U.N. 1990|Bank est.<br>Bank est. from 1986 census<br>Bank est. based on U.N. 1990|..<br>West Bank<br>Western<br>Samoa<br>Yemen,<br>Rep. of|
|Bank est. from official<br>est.<br>(Stat.<br>office,<br>Belgrade,<br>1988)<br>U.N. 1990 revision<br>From Bank sector report<br>est.<br>1988 DHS|Bank est. from official<br>est.<br>(Stat.<br>Office,<br>Belgrade,<br>1988)<br>Bank estimate<br>U.N.1990<br>revision<br>DHS, 1988|Bank est. from official<br>est.<br>(Stat.<br>Office,<br>Belgrade,<br>1988)<br>U.N. 1990 revision<br>U.N. 1990 revision<br>Bank est.|Yugoslavia<br><br>Zaire<br>Zambla<br>Zimiabwe|
xciv DATA AND METHODS

# **REFERENCES**

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

- Bourgeois-Pichat, Jean. 1978. Future outlook for mortality decline in the world. _Populatfon Bulletin of the United Nations._ 11:12-41.

- Bos, Eduard, and Rodolfo A. Bulatao. 1989. Projecting fertility for all countries. Policy, Planning, and Research Working Papers, WPS 500. Washington, D.C.: World Bank.

- Bos, Eduard, My T. Vu, and Patience W. Stephens. 1992. Sources of World Bank estimates of current mortality rates. Policy Research Working Papers, WPS 851. Wash;ngton, D.C.: World Bank.

- Bulatao, Rodolfo A., Eduard Bos, Patience W. Stephens and My T. Vu 1989. Projecting mortality for all countries. Policy, Planning, and Research Working Papers. Washington, D.C.: World Bank.

- Bulatao, Rodolfo A., Eduard Bos, Patience W. Stephens and My T. Vu 1990. _World Populaton Projections. 1989-90 EditionL_ Johns Hopkins University Press. Baltimore. Maryland.

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

- Coale, Ansley J., and Guang Guo. 1989. Revised regional model life tables at very low levels of mortality. Unpublished paper. Office of Population Research, Princeton University.

- Eurostat. 1991. _Demographic Statistics._ Luxembourg: Statistical Offioe of the European Communities.

- Hill, Kenneth. 1990. PROJ3S - A Computer Program for Population Projections. Washington, D.C.: World Bank.

Manton, Kenneth G. 1986. Past and future life expectancy increases at later ages: Their implications for the linkage of chronic morbidity, disability and mortality. _Jounal of Gerontolfgy_ 41:672-681.

- Monnier, Alain and Catherine de Guibert-Lantoine. 1991. "La cornjoncture demographique: L'Europe et les pays d6veloppes d'outre-mer," _Population_ 46(4):943-961.

- United Nations. Department of Intemational Economic and Social Affairs. 1990. _World Population Prospects 1990._ New York: United Nations.

- United Nations. Department of Intemational Economic and Social Affairs. Various years. _Population and Vital Statitics Report._ New York: United Nations.
DATA AND METHODS **XCV**

# ADDENDUM

This section was produced after the projections were completed, just before the papers were Issued. Its purpose is to list the results of censuses and surveys that came to our attention too late to be incorporated. _Note_ that these are usually preliminary results that have not been evaluated for data quality, i.e., undercounts In censuses or sampling errors in surveys. Differences with the estimates In the main tables In this volume are therefore not necessarily Inconsistencies.

Bolivia: Preliminary result of June 1992 census gives total population of 6.3 million.

Djlboutl* Intercensal survey (EDI) of 1991 gives total population of 519,900.

Malaysia: Preliminary result of the August 1991 census is 17,566,982 persons. Underenumeration in the 1980 census was estimated at 4.4 percent.

Nigeria: Preliminary result of the November 1991 census shows a total of 88,514,501 million people.

Pakistan: Integrated Household Survey (PIHS) of 1991 estimates the IMR at 121 for 1986-90.

Peru: Preliminary estimates from the 1991-92 Encuesta DemogrMfica y de Salud Familiar (ENDES-DHS) shows the IMR at 55 for the five-year period preceding the survey and the TFR at 3.5 for the three years preceding the survey.

Zambia: Preliminary estimates from the Demographic and Health Survey (ZDHS) of 1992 show the IMR at 108 for the five-year period preceding the survey and the TFR at 6.3 for the three years preceding the survey.
# Detailed Population Projections

World, Geographic Regions, and Income Groups
2 WORLD, GEOGRAPHIC REGIONS, AND INCOME GROUPS WORLD Population Projection (thousands)

|AGE GROUP|1985|<br>1990|<br>1995|<br>2000|<br>2005|<br>2010|<br>201|5<br>2020|<br>202|5<br>2030|
|---|---|---|---|---|---|---|---|---|---|---|
|TOTAL M+F|482721|2 5267831|572065|1 616790|7 661198|5 704945|8 748392|2 791868|2 834535|1 8751064|
|MALES|||||||||||
|0-4|294052|321536|33279|8 33479|2 339236|344538|35151|5 36032|6 36537|8 365216|
|5-9|266550|286789|31457|6 326358|329061|333822|33960|8 34714|3 35652|2 362206|
|10-14|266278|264407|28459|9 312407|324234|327024|33189|2 33784|8 34558|4 355174|
|15-19|252761|264159|26230|8 282431|310167|322032|32491|6 32989|6 33602|0 343951|
|20-24|224730|249938|26128|0 25948|3 279431|307119|31903|7 32205|3 32718|5 333530|
|25-29|197166|221789|24684|0 258172|256330|276168|30381|4 31580|2 31897|8 324298|
|30-34|178794|194420|21892|8 243887|255099|253308|27307|1 30070|6 31279|6 316163|
|35-39|146535|176009|19153|0 215954|240719|251898|25019|1 26990|1 29754|8 309778|
|40-44|118843|143614|17274|2 18816|8 212393|236958|24811|5 24653|6 26619|2 293842|
|45-49|108617|115512|13986|9 16855|7 183784|207745|23205|8 24320|6 24182|0 261409|
|50-54<br>|98754<br>|<br>104154<br> <br>|11100<br> <br>|0 134785<br>|162775|177708|20127|6 22522|1 23635|7 235261|
|55-59<br>|85172|<br>92720<br>|<br>98068<br> <br>|<br>104858<br> <br>|<br>127815<br>|<br>154786|16932|9 19234|9 21579|0 226918|
|60-64|68612|<br>77445|<br>84668|<br>89969|<br>96693|<br>118476|<br>144053|<br>158084|<br>18035|8 203119|
|65-69<br>|48128<br>|<br>59371<br> <br>|<br>67466|<br>74280|<br>79528|<br>86042|<br>10622|6 12990|8 14322|4 164443|
|70-74|36165<br>|<br>38456<br>|47942|<br>55097|<br>61386|<br>66365|<br>72519|<br>90541|<br>11166|3 123959|
|75+<br>|37925|<br>43585|48657|<br>58870|<br>71070|<br>83307|<br>94702|<br>106734|<br>129043|<br>160999|
|TOTAL<br>|2429082|2653904|2883270|3108068|3329723|3547296|3762324|3976253|4184458|4380264|
|FEMALES|||||||||||
|0-4|280801|<br>309476|<br>320755|<br>323152|<br>327553|<br>332398|<br>338806|<br>346963|<br>351478|<br>350938|
|5-9<br>|253533|<br>273988|<br>303059|<br>315088|<br>318275|<br>322939|<br>328204|<br>335096|<br>343752|<br>348826|
|10-14<br>|253226<br>|<br>251547<br> <br>|272006|<br>301185|<br>313312|<br>316567|<br>321323|<br>326741|<br>333813|<br>342662|
|15-19<br>|240870<br>|<br>251326<br> <br>|249750|<br>270218|<br>299394|<br>311563|<br>314911|<br>319784|<br>325375|<br>332648|
|20-24<br>|215380<br>|<br>238506<br> <br>|249058|<br>247636|<br>268026|<br>297206|<br>309464|<br>312964|<br>318017|<br>323855|
|25-29<br>|189392<br>|<br>212830<br> <br>|235970<br>|<br>246648<br> <br>|<br>245304<br>|<br>265645|<br>294863|<br>307258|<br>310966|<br>316260|
|30-34|172264|<br>186864|210282|<br>233436|<br>244160|<br>242909|<br>263233|<br>292519|<br>305091|<br>309052|
|35-39|141935|<br>169695|184287|<br>207679|<br>230767|<br>241526|<br>240409|<br>260746|<br>290128|<br>302921|
|40-44<br>|115844|<br>139413|166953|<br>181533|<br>204823|2Z7803|<br>238623|<br>237682|<br>258053|<br>287546|
|45-49<br>|106844|113193|136560|163826|178339|201458|224314|235216|234503|254913|
|50-54<br>|98489<br>|103574<br>|109960|133059|159928|174314|19720|9 219909|230922|230505|
|55-59<br>|87240<br>|94299<br>|99407|<br>105847|<br>128574|<br>154865|169108|191726|214249|225434|
|60-64<br>|76200<br>|81817<br>|88774<br>|<br>93921<br> <br>|100429<br>|<br>122589|<br>148126|<br>162217|<br>184511|<br>206864|
|65-69<br>|56941|<br>69058|<br>74523|<br>81339|86553|93051|114447|138981|152917|174842|
|70-74|46668<br>|<br>48410<br>|<br>59594<br>|<br>64811|<br>71434|<br>76550|<br>83010|103314|126456|140186|
|75+<br>|62505<br>|69931<br>|76443<br>|90459<br>|105392<br>|120779<br>|<br>135548<br>|<br>151312<br>|<br>180660<br>|<br>223346<br>|
|TOTAL|2398130|2613927|2837381|3059839|3282263|3502162|3721598|3942429|4163892|4370800|
|BIRTH RATE||27.2<br>|25.7|23.7|22.2|20.9|19.9|19.2|18.3|17.2|
|OEATH<br>RATE<br>|<br>|9.7|9.2|8.6|8.2|8.1|8.0|7.9|7.8|7.7|
|RATEOF NAT|. INC.|1.75<br>|1.65|1.51|1.39|1.28|1.20|1.13|1.05|.95|
|NET MIGRAT|ION<br>RATE|-.0|-.0|.0|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE||1.75<br>|1.65|1.51|1.39|1.28|1.20|1.13|1.05|.95|
|TOTAL FERTI|LITY 3|.428<br>3|.233<br>3|.019<br>2|.872<br>2|.733<br>2|.605<br>|2.518<br>|2.441<br>|2.360|
|NRR|1|.459<br>1|.381<br>|1.306<br>1|.267<br>1|.223<br>1|.173<br>|1.143<br>|1.122<br>|1.098|
|eCO)- BOTH|SEXES 6|4.87<br>6|5.98<br>6|7.23<br>6|8.49<br>6|9.43<br>7|0.45<br>|71.56<br>|72.75<br>|74.04|
|e(15)- BOT<br>|H SEXES 5<br>|5.61<br>5|6.20<br>5|6.88<br>5|7.56<br>5|8.17<br>5|8.84<br>|59.55<br>|60.32<br>|61.15|
|IHR - BOTHS<br>|EXES<br> <br>|68.8<br> <br> <br>|62.7<br> <br>|56.5<br> <br> <br>|50.0<br> <br>|45.3<br> <br> <br>|40.1<br> <br>|34.9<br> <br>|29.7<br> <br>|24.2<br>|
|q(5)- BOT|SEXES .|961<br>.|874<br>.|0784<br>.|0687<br>.|0625<br>.|0555<br>.|0484<br>|.0411<br>|.0335|
|DEP. RATIO|65.1|63.0|62.6|61.0|58.0|55.1|53.8|53.9|54.4|55.2|
WORLD, GEOGRAPHIC REOIONS, AND INCOME GROUPS 3 Summary Projection for 25-Year Periods WORLD

|AGE GROUP|<br>1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL M+F|4827212|<br>6167907|<br>8345351|1005542|1110921|731165199|1 1193827|8 12078606|
|MALES|||||||||
|0-4|294052|<br>334792|<br>365378|<br>362462|<br>362250|<br>362246|<br>362268|<br>362207|
|5-9|266550|<br>326358|<br>356522|<br>361217|<br>361542|<br>361845|<br>362008|<br>361953|
|10-14|266278|<br>312407|<br>345584|<br>360107|<br>361064|<br>361684|<br>361971|<br>361911|
|15-19|252761|<br>282431|<br>336020|<br>359204|<br>360526|<br>361330|<br>361723|<br>361692|
|20-24|224730|<br>259483|<br>327185|<br>358746|<br>359432|<br>360422|<br>360960|<br>361053|
|25-29|197166|<br>258172|<br>318978|<br>355681|<br>357966|<br>358977|<br>359798|<br>360059|
|30-34|178794|<br>243887|<br>312796|<br>347107|<br>355808|<br>357413|<br>358567|<br>359035|
|35-39|146535|<br>215954|<br>297548|<br>334498|<br>353121|<br>355625|<br>357285|<br>357979|
|40-44|118843|<br>188168|<br>266192|<br>322710|<br>350210|<br>353455|<br>355544|<br>356501|
|45-49|108617|<br>168557|<br>241820|<br>311223|<br>347108|<br>350353|<br>352918|<br>354189|
|50-54|98754|<br>134785|<br>236357|<br>298537|<br>339388|<br>345182|<br>348373|<br>350231|
|55-59|85172|<br>104858|<br>215790|<br>284645|<br>323337|<br>336748|<br>341569|<br>344286|
|60-64|68612|<br>89969|<br>180358|<br>258747|<br>300040|<br>324633|<br>331939|<br>335886|
|65-69|48128|<br>74280|<br>143224|<br>214943|<br>272840|<br>307601|<br>317968|<br>323313|
|70-74|36165|<br>55097|<br>111663|<br>174816|<br>239850|<br>283291|<br>296936|<br>304075|
|75+|3792s|<br>58870|<br>129043|<br>296212|<br>440338|<br>564953|<br>647496|<br>687468|
|TOTAL|2429082|3108068|4184458|5000856|<br>5484821|5745757|<br>5877325|<br>5941837|
|FEMALES|||||||||
|0-4|280801|323152|351478|347592|346932|346510|346455|346406|
|5-9|253533|<br>315088|<br>343752|<br>346841|<br>346523|<br>346307|346283|346240|
|10-14|253226|<br>301185|<br>333813|<br>346132|<br>346265|<br>346292|<br>346274|<br>346226|
|15-19|240870|<br>270218|<br>325375|<br>345839|<br>346129|<br>346252|<br>346203|<br>346174|
|20-24|215380|<br>247636|<br>318017|<br>346459|345861|346069|345988|346047|
|25-29|189392|<br>246648|<br>310966|<br>345021|<br>345596|<br>345684|<br>345766|<br>345856|
|30-34|172264|<br>233436|<br>305091|<br>338066|<br>344607|<br>345118|<br>345442|<br>345622|
|35-39|141935|<br>207679|<br>290128|<br>327081|<br>343110|<br>344325|<br>345046|<br>345315|
|40-44|115844|<br>181533|<br>258053|<br>317127|<br>341696|<br>343447|<br>344486|<br>344840|
|45-49|106844|<br>163826|<br>234503|<br>307844|<br>340668|<br>342131|<br>343578|<br>344069|
|50-54|98489|<br>133059|<br>230922|<br>298055|<br>336601|<br>340101|<br>341987|<br>342919|
|55-59|87240|<br>105847|<br>214249|<br>288047|<br>325869|<br>336418|339598|341193|
|60-64|76200|<br>93921|<br>184511|<br>267510|<br>309615|<br>331009|<br>336208|<br>338792|
|65-69|56941|<br>81339|<br>152917|<br>228759|<br>291821|<br>323762|<br>331517|<br>335276|
|70-74|46668|<br>64811|<br>126456|<br>195515|<br>270424|<br>313231|<br>323981|<br>329514|
|75+|62505|<br>90459|<br>180660|408677|625635|809578|932141|992279|
|TOTAL|2398130|3059839|4160892|5054565|5607352|5906234|6060953|6136768|
|BIRTH RATE||25.4|20.0|15.7|13.5|12.5|12.0|11.8|
|DEATH RATE||9.1|8.0|8.3|9.6|10.5|11.1|11.4|
|NET MIGRA|TION<br>RATE|-. 0|**.0**|**.0**|**.0**|.0|**.0**|.0|
|GROWTH<br>RAT|E|1.63|1.21|.75|.39|.20|.10|.05|
|TOTAL FERT|ILITY|3.216|2.623|2.231|2.078|2.064|2.057|2.055|
|etO)**-** BOT|H SEXES|66.09|70.66|75.96|79.92|82.36|84.39|85.21|
|**IMR-**<br>**BOTH**|SEXES|62.6|39.9|18.0|7.5|4.4|2.5|2.2|
4 WORLD, GEOGRAPHIC REGIONS, AND INCOME GROUPS LDC

|LDC|||||||Po|pulation<br>Pr|<br>ojectio<br>|n<br>(thousands)|
|---|---|---|---|---|---|---|---|---|---|---|
|AGE GROUP|<br>1985|<br>1990|<br>1995|<br>2000|<br>2005|<br>2010|<br>2015|<br>2020|<br>202|5<br>2030|
|TOTAL**M+F**|3649732|4053342|4471202|4885762|5299238|5710319|6121662|6535814|694428|9 7334724|
|MALES|||||||||||
|0-4|249588|<br>276595|<br>288354|<br>291419|<br>295905|<br>301008|<br>307848|<br>316614|<br>32165|8<br>321417|
|5-9|222483|<br>242250|<br>269614|<br>281861|<br>285662|<br>290491|<br>296100|<br>303508|<br>31285|3<br>318538|
|10-14|220969|<br>220264|<br>240026|<br>267392|<br>279703|<br>283608|<br>288560|<br>294347|<br>30196|3<br>311524|
|15-19|206221|<br>218846|<br>218193|<br>237861|<br>265in|277534|<br>281543|<br>286612|<br>29257|1<br>300387|
|20-24|177711|<br>203378|<br>216005|<br>215363|<br>234893|<br>262194|<br>274635|<br>278785|<br>28402|1<br>290216|
|25-29|149161|<br>174716|<br>200310|<br>212874|<br>212234|<br>231711|<br>259018|<br>271547|<br>27587|5<br>281321|
|30-34|132454|<br>146470|<br>171940|19739|1209866|<br>209317|<br>228758|<br>256072|<br>26871|4<br>273243|
|35-39|103023|<br>129882|<br>143819|<br>16911|7194382|<br>206843|<br>206396|<br>225792|<br>25312|4<br>265903|
|40-44|84440|<br>100521|<br>127059|<br>140840|<br>165886|<br>190957|<br>203392|<br>203059|<br>22239|8<br>249725|
|45-49|75686|<br>81693|<br>97499|<br>123563|<br>137101|<br>161826|<br>186616|<br>199000|<br>19882|5<br>218069|
|50-54|66200|<br>72240|<br>78118|<br>93514|<br>118858|<br>132082|<br>156315|<br>180676|<br>19297|4<br>193019|
|55-59|55421|<br>61825|<br>67602|<br>73313|<br>88109|<br>112458|<br>125247|<br>148769|<br>17252|0<br>184687|
|60-64|42867|<br>50009|<br>55988|<br>61450|<br>66946|<br>80935|103905|<br>116092|<br>13862|2<br>161524|
|65-69|31356|<br>36687|<br>43011|<br>48477|<br>-53553|58730|<br>71603|<br>92684|<br>10402|9<br>125167|
|70-74|21458|<br>24634|<br>29055|<br>34378|<br>39211|<br>43733|48433|<br>59781|<br>78317|<br>88486|
|75+|19182|<br>23534|<br>27997|<br>33649|<br>40974|<br>48929|57108|<br>65624|<br>79787|<br>103603|
|TOTAL|1858219|2063544|2274589|2482462|2688454|2892358|3095479|3298963|349825|2 3686829|
|FEMALES|||||||||||
|0-4|238254|<br>266665|<br>278452|<br>281890|<br>286349|<br>291010|<br>297295|<br>305419|<br>30993|5<br>309330|
|5-9|211480|<br>231315|<br>260181|<br>272692|<br>276952|<br>281702|<br>286808|<br>293589|<br>30222|6<br>307315|
|10-14|210000|<br>209377|<br>229263|<br>258220|<br>270854|<br>275202|<br>280064|<br>285332|<br>29230|4<br>301144|
|15-19|196555|<br>207979|<br>207508|<br>227381|<br>256365|<br>269066|<br>273527|<br>278517|<br>28397|2<br>291156|
|20-24|169763|<br>193947|<br>205559|<br>205204|<br>225058|<br>254096|<br>266927|<br>271566|<br>27676|2<br>282487|
|25-29|142364|<br>166934|<br>191239|<br>202930|<br>202721|<br>222587|<br>251715|<br>264714|<br>26959|0<br>275058|
|30-34|126439|<br>139683|<br>164301|<br>188578|<br>200363|<br>200289|<br>220177|<br>249396|<br>262592|<br>267741|
|35-39|98524|<br>123863|<br>137141|<br>161688|<br>185920|<br>197762|<br>197841|<br>217754|<br>24707|9<br>260504|
|40-44|81114|<br>96157|121295|<br>134527|<br>158959|<br>183087|<br>194990|<br>195241|<br>215187|<br>244619|
|45-49|72824|<br>78737|93633|118470|<br>131615|<br>155854|<br>179839|<br>191803|<br>19226|3<br>212236|
|50-54|64039|<br>70042|75939|90618|<br>115039|<br>128043|<br>152014|<br>175805|<br>18784|6<br>188570|
|55-59|54043|<br>"i640|<br>66546|72415|<br>86793|<br>110635|<br>123467|<br>147091|<br>17064|7<br>182805|
|60-64|43381|<br>49807|56171|61949|<br>67778|<br>81718|104789|<br>117414|<br>140603|<br>163896|
|65-69|33273|<br>38154|44120|50155|<br>55769|<br>61497|74837|<br>96864|<br>109237|<br>131882|
|70-74|24141|<br>27029|31329|36639|<br>42221|<br>47530|53076|<br>65548|<br>86099|<br>98098|
|75.<br>|25321<br>|<br>29467<br>|33936<br>|39941<br>|<br>48030<br>|<br>57884<br>|68818<br>|<br>80797<br>|<br>99694<br>|<br>131055<br>|
|TOTAL|1791513|1989798|2196612|2403299|2610784|2817962|3026183|3236851|3446036|3647895|
|BIRTH RATE||31.0|29.0|26.5|24.5|22.9|21.6|20.6|19.5|18.2|
|DEATH RATE||9.7|9.2|8.6|8.1|7.8|7.6|7.5|7.4|7.3|
|RATE OF NA|T. INC.|2.13|1.98|1.79|1.64|1.50|1.40|1.31|1.21|1.09|
|<br>NETMIGRA|<br>TION<br>RATE|<br>-. 3|<br>-.2|<br>-.1|<br>-. 1|<br>-. 1|<br>-. 0|<br>-. 0|-. 0|.0|
|<br>GROWTH<br>RAT|<br> <br>E|<br>2.10|<br>1.96|<br>1.77|<br>1.62|<br>1.49.|<br>1.39|<br>1.31|<br>1.21|1.09|
|TOTAL FERT|ILITY|3.903<br>3|.585<br>3|.284<br>|3.074<br>|2.885<br>2|.718<br>|2.604<br>|2.507|2.406|
|NRR||1.616<br>|1.497<br>1|.393<br>|1.337<br>|1.277<br>1|.211<br>|1.171<br>|1.144|1.113|
|e(O) - BOT|H SEXES|61.94<br>6|3.23<br>6|4.67<br>|66.11<br>6|7.24<br>6|8.44<br>|69.73<br>|71.09|72.54|
|el15) - **BO**|**TH**<br>SEXES|54.05<br>5|4.61<br>5|5.29<br>|55.97<br>|56.68<br>5|7.43<br>|58.23<br>|59.08|59.99|
|**IMR**- BOTH<br>|SEXES<br>|76.8<br> <br>|69.9<br> <br> <br>|62.9<br> <br>|55.6<br> <br>|50.4<br> <br>|44.6<br> <br>|38.8<br> <br>|32.9<br>|26.9<br>|
|q(5) - BOT|H SEXES|.1077<br>.|0976<br>.|0874<br>.|0766<br>.|0696<br>.|0617<br>|.0537<br>|.0456|.0372|
|<br>DEP. RATIO|<br>70.4|67.0|65.9|63.5|59.4|55.6|53.4|52.9|52.7|53.2|
**WORLD,** OEOFRAPHIC REGIONS, AND INCOME GROUPS 5

SuLmary Projection for **25-Year** Perfods LDC

|AGE GROUP|<br>1985|<br>**2000**|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL M+F|3649732|<br>4885762|<br>6944239|<br>S622786|<br>9654232|<br>10200047|<br>1047501|7<br>10609578|
|MALES|||||||||
|0-4|249588|<br>291419|<br>321658|<br>318729|<br>318521|<br>318515|<br>318535|<br>318475|
|5-9|222483|<br>281561|<br>312853|<br>317555|<br>317850|<br>318144|<br>318305|<br>318252|
|10-14|220969|<br>267392|<br>301963|<br>31649|317370|<br>317985|<br>318273|<br>318216|
|15-19|206221|<br>237861|<br>292T1|315541|<br>316850|<br>317657|<br>318052|<br>318022|
|20-24|177711|<br>215363|<br>264021|<br>315163|<br>315848|316835|<br>317367|<br>317453|
|25-29|149161|<br>212874|<br>27ssn|<br>312354|<br>314547|<br>315523|<br>316321|<br>316569|
|30-34|132454|<br>197391|<br>26714|<br>303955|<br>312566|<br>314092|<br>315207|<br>315658|
|35-39|103023|<br>169117|<br>253124|<br>291567|<br>310049|<br>312430|<br>31404|2<br>314717|
|40-44|84440|<br>140840|<br>222396|<br>280168|<br>307297|<br>310434|<br>312466|<br>313397|
|45-49|75686|<br>123563|<br>196625|<br>269219|<br>304497|<br>307618|<br>310102|<br>311331|
|50-54|66200|<br>93514|<br>192974|<br>257070|<br>297431|<br>302959|<br>306012|<br>307797|
|55-59|55421|<br>7313|1M20|2430n|<br>282237|<br>295293|<br>299877|<br>302483|
|60-64|42867|<br>61450|<br>138622|<br>218153|<br>260175|<br>284237|<br>291188|<br>294979|
|65-69|31356|<br>48477|<br>104029|<br>176804|<br>234863|<br>268716|<br>278638|<br>283770|
|70-74|21458|<br>34378|<br>78M|140137|<br>204b62|<br>246m|259814|<br>266643|
|75+|19182|<br>33649|<br>79787|<br>2227|363026|<br>483434|<br>562069|<br>599969|
|TOTAL<br>|1858219|<br>2482462|<br>3496252|<br>429631|<br>4777788|<br>5030649|<br>5156268|<br>5217728|
|FEMALES|||||||||
|0-4|238254|<br>281890|<br>309935|<br>306063|<br>305415|30499S|<br>304939|<br>304891|
|5-9|211480|272692|<br>302226|<br>305361|305028|304809|<br>304785|<br>304744|
|10-14|210000|258220|<br>292304|304664|304764|304792|<br>304777|<br>304732|
|15-19|196555|<br>227381|<br>283972|<br>3043M5|<br>30'622|304756|<br>304712|<br>304685|
|20-24|169763|<br>205204|276762|304925|304373|304591|304513|<br>304570|
|25-29|142364|<br>202930|269590|303597|304153|304236|304310|<br>304395|
|30-34|126439|<br>l167s|26252|29668|303228|303700|304007|<br>304179|
|35-39|98524|161688|<br>247079|285778|301768|302935|303635|<br>303898|
|40-44|81114|134527|<br>215s18|<br>276015|300380|302098|303117|<br>303463|
|45-49|72824|<br>118470|<br>192263|<br>266995|<br>299427|300866|302280|<br>302754|
|50-54|64039|90616|187846|257281|295612|298969|300806|<br>301701|
|55-59|54043|72415|170647|246470|285136|m532|298580|<br>300114|
|60-64|43381|61949|140603|2258s3|269268|290413|295406|<br>297905|
|65-69|33273|50155|o1927|187921|252108|283515|291033|<br>294679|
|70-74|24141|<br>36639|<br>860o|156311|<br>231697|273622|284041|<br>289400|
|75+|25321|39941|9994|295834|509444|689549|807806|<br>865739|
|TOTAL|1791513|2403299|3446036|<br>4324057|4876444|5169398|5318748|<br>5391850|
|BIRTH RATE||28.7|21.6|16.4|13.7|12.6|12.1|11.9|
|DEATH RATE||9.1|7.6|?.8|9.2|10.4|11.0|11.3|
|NET NIGRAT|ION<br>RATE|-.2|-.0|.0|.0|.0|.0|.0|
|GROWTN RATE||1.94|1.41|.87|.45|.22|.11|.05|
|TOTAL FERT|ILITY|3.567|2.739|2.255|2.080|2.064|2.056|2.054|
|e(O)- BOTH|SEXES|63.37|68.70|74.78|79.26|81.96|84.19|85.08|
|IHR * BOTH S|EXES|69.8|**44.3**|20.0|6.2|4.7|2.5|2.2|
6 WORLD, GEOGRAPHIC REGIONS, AND INCOME GROUPS MDC Population Projection (thousands)

|AGE GROUP|1985|<br>1990|<br>1995|<br>2000|2005|<br>2010|<br>2015|<br>2020|<br>202|5<br>2030|
|---|---|---|---|---|---|---|---|---|---|---|
|TOTAL<br>M+F|1177480|1214489|1249449|1282145|1312748|1339139|1362260|1382868|140106|2 1416340|
|MALES|||||||||||
|0-4|44463|<br>44941|<br>44444|<br>43373|43331|<br>43530|<br>43667|<br>43711|<br>4372|0<br>43799|
|5-9|44068|<br>44539|<br>44962|44497|43400|<br>43331|<br>43508|<br>43635|<br>4366|9<br>43668|
|10-14|45309|<br>44143|<br>44573|45015|44530|<br>43416|<br>43332|<br>43501|<br>4362|1<br>43649|
|15-19|46540|<br>45313|<br>44115|44570|44996|<br>44498|<br>43373|<br>43284|<br>4344|8<br>43565|
|20-24|47020|<br>46560|<br>45275|44119|44538|<br>44925|<br>44402|<br>43268|<br>4316|4<br>43314|
|25-29|48005|<br>47073|46530|45298|44096|<br>44457|<br>44796|<br>44255|<br>4310|2<br>42976|
|30-34|46340|<br>47950|46988|46496|45234|<br>43991|<br>44313|<br>44634|<br>4408|3<br>42920|
|35-39|43512|<br>46127|47711|46837|46337|<br>45055|<br>43795|<br>44109|<br>4442|4<br>43875|
|40-44|34403|<br>43093|45683|47329|<br>46507|<br>46001|<br>44723|<br>43476|<br>4379|4<br>44116|
|45-49|32931|<br>33819|42369|44994|46683|<br>45919|<br>45442|<br>44205|<br>42995|<br>43340|
|50-54|32554|<br>31914|32882|41271|43918|<br>45625|<br>44961|<br>44545|<br>43383|<br>42242|
|55-59<br>|29751<br>|<br>30894<br> <br>|30466<br>|31545<br>|39706|<br>42327|<br>44082|<br>43580|43270|<br>42231|
|60-64<br>|25745<br>|<br>27436<br> <br>|28680<br>|28519<br>|29747|<br>37541|<br>40149|<br>41992|41736|<br>41595|
|65-69|16772|<br>22685|24455|25803|25975|<br>27312|<br>34623|<br>37224|39195|<br>39275|
|70-74<br>|14707<br>|<br>13821<br> <br>|18887|20719|22175|<br>22632|<br>24086|<br>30759|33345|<br>35473|
|75+<br>|18743<br>|<br>20052<br>|20661|25221|30096|<br>34378|<br>37594|<br>41111|49256|<br>57396|
|TOTAL<br>|570863|<br>590360|608681|625606|641269|<br>654938|<br>666845|<br>677290|686206|<br>693435|
|FEMALES|||||||||||
|0-4|42547|<br>42811|42303|41262|<br>41204|<br>41389|<br>41512|<br>41544|41543|<br>41608|
|5-9|42053|42672|42878|42396|41323|<br>41236|41396|<br>41506|41526|<br>41511|
|10-14|43226|42170|42743|42965|42458|<br>41364|41259|<br>41408|41509|<br>41519|
|15-19|44315|43347|42242|42837|43029|<br>42497|41383|41266|41404|<br>41492|
|20-24<br>|45618<br>|44559<br>|43499|42432<br>|42968<br>|43110|42537|41399|41256|<br>41368|
|25-29<br>|47027<br>|45896<br>|44731<br>|<br>43718<br>|42583<br>|43058<br>|43148<br>|42544|41376|<br>41203|
|30-34<br>|45824<br>|47181<br>|45981|44858|43797|42620|43056|43124|42499|<br>41312|
|35-39|43411|45831|47146|45991|44847|43764|42567|42992|43049|<br>42417|
|40-44|34730|43256|45658|47006|45863|44716|43633|42441|42866|<br>42926|
|45-49|34020|34456|42927|45355|46724|45604|44476|43413|42239|<br>42677|
|50-54|34450|33532|34021|42442|44890|46272|45196|44104|43076|<br>41935|
|55-59|33197|33659|32862|33431|41781|44230|45641|44635|43602|<br>42629|
|60-64|32819|32010|32603|31972|32651|40872|43337|44803|43909|<br>42968|
|65-69|23668|30904|30404|31184|30785|31554|39610|42117|43680|<br>42960|
|70-74<br>|22527<br>|21381<br>|28265<br>|28172<br>|29213<br>|29020<br>|29935<br>|37766<br>|40357<br>|<br>42088<br>|
|75+<br>TOTAL|37184<br>1|40464<br>|42506<br>|50518<br>|57363<br>|62895<br>|66730<br>|70515<br>|80966<br>|<br>92291<br> <br>|
||60666|624129|640769|656540|671479|684201|695415|705578|714856|<br>722905|
|BIRTH RATE||14.9<br>|14.3<br>|13.5<br>|13.2|12.9|12.7|12.5|12.3|12.2|
|**DEATH**<br>RATE<br>|<br>|9.5|9.1|8.9|8.8|9.2|9.5|9.6|9.8|10.0|
|RATE OFNAT|. INC.|.54|.51|.46|.43|.37|.32|.29|.26|.22|
|NET MIGRAT|ION<br>RATE|.8|.5|.6|.4|.3|.2|.1|.1|.0|
|GROWTH<br>RATE||.62|.57|.52|.47|.40|.34|.30|.26|.22|
|TOTALFERTI|LITY1|.953<br>1|.946<br>1|.929<br>1|.955<br>1|.981<br>1|.998<br>2|.017<br>2|.038<br>|2.060|
|NRR||.937<br>|.924<br>|.918<br>.|936|.952|.963|.972|.983|.995|
|**e(O)**<br>- BOTH|SEXES 7|4.29<br>7|5.50<br>7|6.70<br>7|7.83<br>7|8.52<br>7|9.24<br>8|0.00<br>8|0.79<br>|81.61|
|etIS)- BOT|H SEXES 6|0.63<br>6|1.71<br>6|2.75<br>63|.76<br>6|4.36<br>6|4.99<br>6|5.65<br>6|6.34<br>|67.06|
|**IHR**- BOTH S<br>|EXES<br> <br>|14.7<br> <br> <br>|12.4<br> <br> <br>|10.5<br> <br>|9.0<br> <br>|8.0<br> <br>|6.9<br> <br>|5.8<br> <br>|4.8<br> <br>|3.7<br>|
|q(5)- BOTH|EXES.|180<br>.|154<br>.|131<br>.0|113<br>.|0102<br>.|089<br>.|0076<br>.|0064<br>|.0052|
|DEP. RATIO|<br>50.5|51.1|51.9|52.5|52.5|52.7|55.7|59.3|63.2|66.4|
WORLD, GEOORAPHIC REGIONS, AND INCOME GROUPS 7 Sum ry Projectfon for 25-Year Periods MDC

|AGE**GRCUP**|1985|2000|<br>2025|2050|2075|2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL I+F|1177480|1282145|1401062|<br>1432633|<br>1437941|<br>1451944|<br>1463262|<br>1469028|
|MALES|||||||||
|0-4|44463|43373|<br>43720|<br>43733|<br>43729|<br>43731|<br>43733|<br>43732|
|5-9|44068|44497|43669|43662|43692|43701|43703|<br>43701|
|10-14|45309|45015|43621|43638|43694|43699|43698|<br>43696|
|15-19|46540|44570|43448|43663|43676|43672|43671|<br>43671|
|20-24|47020|44119|<br>43164|43583|43584|43587|43594|<br>43600|
|25-29|48005|45298|43102|43327|43419|43454|43478|<br>43490|
|30-34|46340|46496|44083|43153|<br>43242|43321|43360|<br>43377|
|35-39|43512|46837|44424|42930|43072|43195|43243|<br>43262|
|40-44|34403|47329|43794|42542|42914|43021|43078|<br>43104|
|45-49|32931|44994|42995|42005|42611|42735|42816|<br>42857|
|50-i4|32554|41271|43383|<br>41467|41957|42222|42361|<br>42434|
|55-59|29751|31545|43270|41570|41101|<br>41455|41692|41804|
|60-64|25745|28519|41736|<br>40594|39865|40396|40751|40907|
|65-69|16772|<br>25803|39195|<br>38139|37977|38885|39329|39544|
|70-74|14707|20719|33345|34678|35188|36513|37122|37433|
|75+|18743|25221|49256|7344l|77312|<br>81519|<br>85427|87499|
|TOTAL|570863|625606|686206|702125|707033|715107|<br>72105|6<br>724109|
|FEMALES|||||||||
|0-4|42547|41262|41543|41529|41517|41515|41516|41515|
|5-9|42053|42396|41526|41480|41494|41498|41498|41496|
|10-14|43226|42965|41509|41468|41501|<br>41500|41497|41494|
|15-19|44315|42837|41404|41524|41507|41496|41490|41489|
|20-24|45618|42432|41256|41534|41488|41478|41475|41478|
|25-29|47027|43718|41376|41424|41443|41448|41456|41462|
|30-34|45824|44858|42499|<br>41383|41379|41418|41435|41442|
|35-39|43411|45991|<br>43049|41302|41322|41390|41411|41417|
|40-44|34730|47006|42866|41112|41316|41349|41369|41377|
|45-49|34020|45355|42239|40849|41241|41265|41298|<br>41315|
|50-54|34450|42442|43076|40774|40989|41112|41180|41218|
|55-59|33197|33431|43602|41577|40733|<br>40886|41018|41079|
|60-64|32819|31972|<br>43909|41666|40347|40596|40802|40886|
|65-69|23668|31184|43680|40838|39712|40247|40484|40597|
|0-74|22527|28172|40357|39204|38726|39609|39940|40114|
|75+<br>|37184<br>|50518<br>|80966<br>|112843<br>|116191<br> <br>|120029<br> <br>|124336<br> <br>|126540|
|TOTAL|606616|656540|714856|730508|<br>730909|<br>736836|<br>742205|744918|
|BIRTHRATE||14.2|12.7|12.0|11.9|11.8|11.7|11.7|
|DEATH RATE||9.2|9.4|11.1|11.8|11.5|11.4|11.5|
|NET MIGRAT|ION<br>RATE|.6|.2|.0|.0|.0|.0|.0|
|GROUTH RAT|E|.57|.35|.09|.01|.04|.03|.02|
|TOTAL FERT|ILITY|1.946|1.998|2.066|2.064|2.063|2.062|2.061|
|eCO)**-** BOTH|SEXES|75.52|79.30|82.47|84.16|85.11|85.82|86.11|
|**IMR**<br>**-** BOTH|SEXES|12.6|6.9|3.3|2.5|2.2|2.0|2.0|
8 WORLD, GEOGRAPHIC REGIONS, AND INCOME GROUPS _AFRICA_ Population Projection (thousands)

|AGE GROUP|1985||1990|<br>1995|<br>2000||2005|2010|<br>2015|<br>2020|<br>2025|<br>2030|
|---|---|---|---|---|---|---|---|---|---|---|---|---|
|TOTAL**M+F**<br>|541962||627000|<br>n3683|831304||948632|<br>107227|8 1200257|1332335|146678|1599132|
|4ALES<br>||||<br>|<br>|||<br>|<br>||||
|0-4<br>|4956<br>|<br>|56273<br>|<br>63617<br> <br>|<br>70721<br> <br>|<br>|77659<br>|<br>82138|<br>85604|<br>88954|<br>91417|<br>91805|
|5-9<br>|39829<br>|<br>|46709<br>|<br>53314<br> <br>|<br>60647<br>||67833|74738|<br>79358|<br>82990|<br>86554|<br>89294|
|10-14<br>|33407<br>|<br>|39015<br>|<br>45800<br> <br>|<br>52336<br> <br>||59579|66730|<br>73.28|78283|<br>82015|<br>85670|
|15-19<br>|28538<br>|<br>|32773<br>|<br>38287<br>|<br>44961<br> <br>||51371|58563|<br>65681|<br>72577|<br>m87|81099|
|20-24<br>|23540<br>|<br>|_2m7_<br>|31922<br> <br>|<br>37301<br> <br>||43782|50129|<br>57261|<br>64346|<br>71248|<br>76037|
|25-29<br>|19785<br>|<br>|22766<br>|<br>26904<br> <br>|<br>30924<br> <br>||36119|42509|<br>48794|<br>55875|<br>62940|<br>69868|
|30-34<br>35-39|16086<br>1302|<br>|19092<br>|<br>22005<br> <br>|<br>26013<br> <br>||29883<br>|35008<br>|<br>41317<br> <br>|<br>47554<br> <br>|<br>54599<br> <br>|<br>61661<br>|
|<br>|<br>|<br>|1546<br>|<br>18387<br> <br>|<br>21202<br> <br>||25048<br>|28863<br>|<br>33920<br>|<br>40155|<br>46350|<br>53370|
|40-44<br>4549|10655<br>|<br>|12425<br>|<br>14787<br> <br>|<br>17599<br> <br>||20282<br>|24041<br>|<br>27795<br> <br>|<br>32780<br> <br>|<br>38937<br>|<br>45088|
|-<br>|9114<br>|<br>|10061<br>|<br>11745<br> <br>|<br>14007<br> <br>||16670<br>|19283<br>|<br>22940<br> <br>|<br>26620<br>|<br>31515|<br>37575|
|50-54<br>|7408<br>|<br>|8480<br>|<br>9357<br> <br>|<br>10937<br> <br>||13061<br>|15619<br>|<br>18141<br> <br>|<br>21668<br>|<br>25248|<br>30019|
|55-59<br>|6057<br>|<br>|6733<br>|<br>7704<br>|<br>8503||9942|11960|<br>14379|<br>16778|<br>20133|<br>23568|
|60-64<br>|4581<br>|<br>|5308<br>|<br>5894<br>|6750<br>||7442|8765|<br>10637|<br>12870|<br>15100|<br>18217|
|65-69<br>|3315<br>|<br>|378<br>|4381<br> <br>|4868||5572|6190|<br>7358|<br>9029|11015|<br>13015|
|70-74<br>|2184<br>|<br>|2493<br>|<br>2841<br> <br>|3297<br>||3661|4237|<br>4754|5720|7124|8787|
|75+<br>TOTAL|1950<br>241|<br>|2242<br>|<br>2567<br> <br>|2939<br> <br>||3398<br>|3905<br>|<br>4577<br> <br>|5307<br> <br>|6389<br>|8024<br>|
|<br>|690||311395|<br>359511|<br>413004||471302|532677|<br>596124|<br>661505|727872|<br>793098|
|FEMALES<br>||||<br>|||||||||
|0-4<br>|48624<br>|<br>|55481<br>|<br>62653<br>|69578<br>||76310<br>|80683<br>|<br>84064<br>|87334|89719|90059|
|5-9<br>1014|39232<br>|<br>|45984<br>|52767<br>|59961<br>||66999<br>|73724<br>|<br>78224<br>|81788<br>|85271|87923|
|-<br>1519|33061<br>|<br>|38472<br>|45160<br>|51897<br>||59022<br>|66032<br>|72757<br>|77312<br>|80952<br>|84525|
|-<br>|28320<br>|<br>|32483<br>|37832<br>|44441<br>||51070<br>|58157<br>|65147|71882|76495|80216|
|20-24<br>25-29|23456<br>20017||27708<br>22854|31816<br>|37082<br>||43545<br>|50131<br>|57183<br>|64162<br>|70920<br>|75612<br>|
|<br>|<br>||<br>|27033<br> <br>|31067<br>||36204|42606|49155|56182|63163|699s9|
|30-34<br>|16602<br>|<br>|19437<br>|<br>22225<br>|26309<br>||30228<br>|35319|41666|48184|55197|62193|
|35-39<br>|13706<br>||16059<br>|18830<br>|21555<br>||25502|29385|34432|40727|47222|54229|
|40-44<br>45-49|11268<br>9741||13193<br>|15487<br>|18183<br>||20812<br>|24690<br>|28537<br>|33539<br>|39785<br>|46259|
|<br>5054|<br>||10790<br>|12649<br>|14876<br>||17467<br>|20059<br>|23863<br>|27668|32620|38811|
|-<br>55-59|8013<br>6602||9242<br>4|10245<br>|12025<br>||14156<br>|16684<br>|19230<br>|22948<br>|<br>26701<br>|31590|
|<br>|<br>||769<br>|8624<br>|9573<br>||11236<br>|13306<br>|15756|18241|21855|25540|
|60-64<br>|5148<br>||5968<br>|6764<br>|7826<br> <br>||8685<br>|10260<br>|12246<br>|14593|16997|20474|
|65-69<br>7074|3847<br>||4413<br>|5131<br>|<br>5837<br>||6754<br>|7563<br>|9017<br>|10882<br>|13087|15377|
|-<br>|2662<br>||3028<br>|3485<br>|4073<br>||4643<br>|5445<br>|6176|7459|9144|11142|
|75+<br>TOTAL|2622<br>27292||3024<br>315605|3473<br>364172|4017<br>418300||4698<br>477330|5556<br>539600|6681<br>|7927<br>|9677<br>|12126<br>|
||||||||||604133|670829|738806|806034|
|BIRTH RATE<br>||43<br>|.9<br> <br> <br>|42.5<br> <br>|40.5<br>3|8|.3<br>3|5.4<br>|32.6<br>|30.1<br>|27.8<br>|25.2|
|DEATH RATE<br>|<br>|14<br>|.6<br> <br> <br>|13.8<br> <br> <br>|12.8<br> <br> <br>|1<br>|1.9<br>1<br> <br>|0.9<br>|10.0|9.2|8.5|7.9|
|RATE OF NAT.<br>|INC.<br> <br> <br>|2.<br>|93<br> <br>|2.87<br> <br>|2.78<br> <br>|.<br>|64<br>2<br>|.45<br>|2.26<br>|2.09<br>|1.92<br>|1.73|
|**NET**MIGRATI<br>|N<br>RATE<br> <br>|-<br>|.2<br> <br>|-. 1<br>|-. 0|-|.O|-. 0|-. 0|.0|.0|.0|
|GROWTH RATE<br>|<br> <br>|2.<br>|92<br> <br>|2.87<br> <br>|2.77<br>2<br>|.|64<br>2|.45<br>|2.26<br>|2.09<br>|1.92<br>|1.73|
|TOTAL FERTIL<br>|ITY6<br>|.0<br>|64<br>5<br> <br>|.847<br>5<br> <br>|.506<br>5.<br>|1|08<br>4.|602<br>4|.105<br>3|.683<br>3|.314<br>2|.973|
|NRR<br>|2<br>|.2<br>|60<br>2.<br> <br>|219<br>2.<br> <br>|138<br>2.<br>|0|21<br>1.|851<br>1|.683<br>1|.542<br>1|.419<br>1|.299|
|eCO)- BOTH S<br>|EXES5<br>|2.<br>|57<br>5<br> <br>|3.55<br>5<br> <br>|4.87<br>55<br> <br>|.<br>|98<br>57<br> <br>|.42<br>5<br>|8.93<br>6|0.52<br>6|2.19<br>6|3.97|
|et1s) - BOTH<br>|SEXES4<br> <br>|9.<br>|3<br>4<br> <br>|9.35<br>4<br> <br>|.55<br>49<br> <br>|.<br>|47<br>50<br> <br>|.37<br>5<br>|1.32<br>5<br>|2.31<br>5<br> <br>|3.36<br>5<br>|4.46|
|INR- BOTH SE<br>**(5)**-BOTHS|XES<br>1<br>EXES|0<br>6|.1<br> <br>7<br>|7.9<br> <br>524<br>|9.4<br>7<br> <br>|9<br>|.6<br>7<br> <br>|3.8<br> <br> <br>|68.1<br> <br> <br>|62.2<br>5<br> <br>|6.1<br>4<br>|9.6|
|**q**|.||<br>.|<br>.|376<br>.1|2|05<br>.1|15<br>.|025<br>.0|933<br>.0|835<br>.|0732|
|DEP. RATIO|92.4||92.3|91.2|88.4||85.1|80.1|74.4|<br>68.8|<br><br>64.0|59.7|
WORLD, GEOGRAPHIC REGIONS, AND INCOME GROUPS 9 SuLMary Projection for 25-Year Periods ARICA

|AGE GROUP|1985|<br>2000|2025|2050|2075|<br>2100|2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL M+F|541962|831304|1466678|<br>2078609|<br>2539581|<br>2784360|<br>2895168|<br>2953606|
|MALES|||||||||
|0-4|49569|70721|91417|87782|88480|88979|89058|<br>89014|
|5-9|39829|60647|86554|87716|88436|88887|88991|<br>88938|
|10-14|33407|52336|82015|88149|88495|<br>88732|<br>88934|<br>88908|
|15-19|28538|44961|m87|88130|88036|88359|88801|<br>88844|
|20-24|23540|37301|71248|88100|86743|87812|88576|<br>88692|
|25-29|19785|30924|62940|86120|86035|87337|<br>88270|<br>88452|
|30-34|16086|26013|54599|82007|85801|87092|87942|<br>88177|
|35-39|13022|<br>21202|46350|76931|85745|86766|87463|<br>87838|
|40-44|10655|<br>17599|<br>38937|71474|85087|85816|86682|<br>87360|
|45-49|9114|14007|<br>31515|64777|84163|83935|85645|<br>86711|
|50-54|7408|10937|<br>25248|55774|80674|82094|84283|85640|
|55-59|6057|8503|20133|46357|74243|79909|82509|84011|
|60-64|4581|6750|15100|36728|65948|76878|79909|<br>81587|
|65-69|3315|4868|11015|<br>27730|56191|71835|75631|77896|
|70-74|2184|3297|7124|18937|44418|64500|68880|72439|
|75+|1950|2939|6389|19829|56694|109845|140515|157222|
|TOTAL|269041|413004|727872|<br>1026540|1245188|1358778|1412090|<br>1441730|
|FEMALES|||||||||
|0-4|48624|69578|89719|85966|86259|862s6|<br>86270|86227|
|5-9|39232|59961|85271|86151|86430|86326|86227|86174|
|10-14|33061|51897|80952|86738|86664|86303|86180|86153|
|15-19|28320|44441|76495|86946|86453|86120|86100|86134|
|20-24|23456|37082|70920|87291|<br>85541|85885|86029|86118|
|25-29|20017|31067|63163|85770|85203|85807|86049|86091|
|30-34|16602|26309|55197|82087|85319|85925|&,040|86022|
|35-39|13706|21555|47222|77407|85624|85976|85891|85882|
|40-44|11268|18183|39785|72437|85420|85510|85539|85678|
|45-49|9741|14876|32620|66355|85154|84243|85067|85435|
|50-54|8013|12025|26701|58139|82705|83300|84594|85169|
|K-r,|6602|9573|21855|49616|77740|<br>82475|84111|84726|
|60-64|5148|<br>7826|16997|40884|71307|81375|83297|83956|
|65-69|3847|5837|13087|32366|63832|79073|81576|82693|
|70-74|2662|4073|9144|23798|54220|75411|78322|80739|
|75+<br>|2622|4017|9677|30118|86520|165567|211786|234678|
|TOTAL|272921|418300|738806|1052069|1294392|1425582|1483079|1511876|
|BIRTH RATE||42.2|32.2|20.8|15.3|13.2|12.3|12.0|
|DEATH RATE||13.6|9.9|7.1|7.4|9.6|10.8|11.2|
|NET MIGRATI|ON RATE|-. 1|-. 0|.0|.0|.0|.0|.0|
|GROWTH<br>RAT|E|2.85|2.27|1.39|.80|.37|.16|.08|
|TOTAL FERT|ILITY|5.778|4.037|2.481|2.079|2.059|2.046|2.043|
|e(O)**-** BOT|H SEXES|53.77|59.36|68.05|75.60|79.65|83.01|84.35|
|IMR**-** BOTH|SEXES|96.9|67.6|37.3|15.4|7.7|2.9|2.5|
10 WORLD, GEOGRAPHIC REGIONS, AND INCOME GROUPS EAST AFRICA

|EASTA|RICA||||||Pop|ulatfon Pr|ojection|(thousands)|
|---|---|---|---|---|---|---|---|---|---|---|
|AGEGROUP|<br>1985|<br>1990|<br>1995|<br>2000|2005|<br>2010|<br>2015|<br>2020|<br>202|5<br>2030|
|TOTAL M+F|233001|271890|316564|367230|423099|483136|547163|614317|683620|<br>7527n6|
|MALES|||||||||||
|0-4|21432|25475|29161|33063|36874|39574|42184|44383|46078|<br>46572|
|5-9|17076|20179|24085|27703|31596|35374|38118|40794|43092|<br>44921|
|10-14|14386|<br>16738|<br>19789|<br>23641|<br>27197|<br>31064|<br>34832|<br>37595|<br>4029|9<br>42637|
|15-19|12242|14113|<br>16424|<br>19418|<br>23187|<br>26711|<br>30554|<br>34314|<br>3709|6<br>39829|
|20-24|10047|11899|13739|15987|18878|22599|26086|29902|33656|<br>36468|
|25-29|8371|9692|11513|13293|15447|18293|21965|25417|29211|<br>32967|
|30-34|6785|8052|9358|<br>11112|<br>12813|<br>14937|<br>17741|<br>21370|<br>2479|4<br>28575|
|35-39|5641|6501|7740|8998|10665|12340|14435|17199|20788|<br>24190|
|40-44|4593|5368|6204|<br>7387|<br>8578|<br>10198|<br>11844|<br>13907|<br>1663|1<br>20176|
|45-49|3880|4328|5065|<br>5859|<br>6964|<br>8122|<br>9689|<br>11301|<br>1332|6<br>16000|
|50-54|3121|3601|4016|<br>4701|<br>5433|<br>6488|<br>7605|<br>9108|<br>1067|4<br>12646|
|55-59|2549|2828|3258|<br>3634|<br>4246|<br>4941|5932|<br>6994|<br>841|7<br>9919|
|60-64|1917|2225|2462|<br>2835|<br>3153|<br>3713|<br>4358|<br> <br> <br>5267|<br> <br> <br>625|<br><br>4<br>7571|
|65-69|1387|1573|1820|<br>2015|<br>2308|<br>2594|3085|<br>3662|<br>446|5<br>5351|
|70-74|887|1036|1169|<br>1351|<br>1488|<br>1725|<br>1966|<br>2370|<br>285|6<br>3524|
|75+|827|920|1044|<br>1177|<br>1334|<br>1522|<br>1792|<br>2110|<br>257|4<br>3188|
|TOTAL|115141|134530|156846|182174|210160|240194|272186|305694|34021|0 374535|
|FEMALES|||||||||||
|0-4|21240|25220|28843|32664|36377|39009|41554|43696|45340|<br>45801|
|5-9|16913|20057|23911|<br>27476|<br>31299|<br>34993|37678|40295|42539|<br>44318|
|10-14|14280|16583|19674|<br>23475|<br>26971|<br>30771|34461|<br>37170|<br>3982|0<br>42110|
|15-19|12287|14021|16283|<br>19314|<br>23027|<br>26494|30275|<br>33965|<br>3670|1<br>39389|
|20-24|10130|12002|13707|<br>15912|<br>18840|<br>22519|25958|<br>29723|<br>3341|7<br>36191|
|25-29|8589|9849|11684|<br>13339|<br>15457|<br>18347|21993|<br>25408|<br>2916|2<br>32870|
|30-34|7053|8323|9557|<br>11327|<br>12904|<br>14998|17854|<br>21470|<br>24866|<br>28618|
|35-39|5989|6810|8041|<br>9232|10906|<br>12468|14541|<br>17363|<br>2095|3<br>24336|
|40-44|4866|5757|6550|<br>m71|8857|10490|12037|<br>14088|<br>1687|8<br>20444|
|45-49|4157|4655|5505|<br>6264|7375|8485|10077|<br>11606|<br>1363|4<br>16391|
|50-54|3366|3937|4405|5209|5917|6 99|8084|<br>9631|<br>1113|8<br>13137|
|55-59|2768|3130|3656|4092|4823|5514|6552|<br>7614|<br>9108|<br>10587|
|60-64|2214|2493|2816|<br>3288|3667|4353|5020|<br>6007|<br>7032|<br>8459|
|65-69|1664|1890|2124|2401|2787|3145|3772|<br>4403|<br>5321|<br>6295|
|70-74|1143|1303|1476|<br>1659|1866|2198|2522|<br>3068|<br>3643|<br>4465|
|75+<br>|1202<br>|1330<br>|1486<br>|<br>1674<br>|1867<br>|2161<br>|2599<br>|<br>3117<br>|<br>3858<br>|<br>4782<br>|
|TOTAL|117860|137360|159718|185056|212939|242942|274976|308623|343410|378191|
|BIRTH RATE|<br>4|6.4<br>4|5.2<br>|43.6<br>|41.4<br>3|8.4<br>3|5.7|33.1|30.4|27.5|
|DEATH RATE|<br>1|5.2<br>1|4.8<br>|<br>13.9<br>|<br> <br>13.1<br>|<br> <br>11.9<br>1|<br>0.8|<br>9.9|<br>9.1|8.3|
|RATE OF NAT|. INC. 3|.12<br>3|.05<br>|2.97<br>|2.83<br>2|.66<br>2|.49|2.32|2.14|1.93|
|NET MIGRA|TION<br>RATE|-.4<br>|-.1|-.0|-.0|-.0|.0|.0|.0|.0|
|GROWTH<br>RAT|E<br>3.|09<br>3|.04<br>|2.97<br>2|.83<br>2|.65<br>2|.49|2.32<br>|2.14|1.93|
|TOTAL FERT|ILITY 6.|410<br>6.|300<br>6|.067<br>5|.704<br>5.|167<br>4.|644<br>4|.142<br>3|.693|3.269|
|NRR|2.|376<br>2.|346<br>2|.295<br>2|.192<br>2.|026<br>1.|858<br>1|.696<br>1|.551|1.405|
|eCO)- BOT|H SEXES 52|.03<br>52|.26<br>5|3.12<br>5|3.73<br>55|.24<br>56|.83<br>5|8.50<br>6|0.27<br>|62.15|
|eC15) - BO|TH SEXES 49.|06<br>48.|60<br>4|8.48<br>4|7.91<br>48|.88<br>49|.90<br>5|0.97<br>5|2.10|53.30|
|IMR - BOTH <br> <br>|SEXES<br>10<br>|8.9<br>10<br> <br>|4.2<br>9<br> <br>|6.6<br>8<br> <br>|6.6<br>8<br>|0.3<br>7|4.1<br>|68.0<br>|61.5|54.7|
|q(5)<br>- BOT|HSEXES.17|00<br>.16|23<br>.1|492<br>.1|316<br>.1|218<br>.1|120<br>.1|023<br>.0|918|.0809|
|<br>DEP.RATIO|<br>93.3|94.8|95.4|94.4|91.3|86.5|<br>80.8|<br> <br>74.7|<br>69.3|64.1|
WORL, GEOGRAPHIC REOIONS, AND INCOME OROUPS 11 EAST A1FRCA Sumary Projection for 25-Year Periods

|AGE GROUP<br>1985|<br>2000|<br>202S|<br>2050|<br>20Th|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTALN+F<br>233001|<br>367230|<br>683620|<br>1006183|<br>1260265|<br>1399234|<br>145751|7<br>1487M76|
|MALES||||||||
|0-4<br>21432|<br>33063|<br>46078|<br>43916|<br>44530|<br>44821|<br>44851|<br>44817|
|5-9<br>17076|<br>27703|<br>43092|<br>44167|<br>44639|<br>44813|<br>44818|<br>44775|
|10-14<br>14386|<br>23641|<br>40299|<br>44742|<br>44771|<br>44728|<br>44771|<br>44755|
|15-19<br>12242|<br>19418|<br>37096|<br>44838|<br>44479|<br>44479|<br>44686|<br>44722|
|20-24<br>10047|<br>15987|<br>33656|<br>44596|<br>43553|<br>44152|<br>4457|6<br>44655|
|25-29<br>8371|<br>13293|<br>29211|<br>43277|<br>43036|<br>43949|<br>4446|1<br>44545|
|30-34<br>6785|<br>11112|<br>24794|<br>40754|<br>43196|<br>43955|<br>44334|<br>44406|
|35-39<br>5641|<br>8998|<br>20788|<br>37705|<br>43514|<br>43890|<br>44083|<br>44217|
|40-44<br>4593|7387|16631|<br>34188|<br>43280|<br>43348|<br>43628|<br>43956|
|45-49<br>3880|<br>5859|<br>13326|<br>30458|<br>42590|<br>42133|<br>43053|<br>43632|
|50-54<br>3121|<br>4701|<br>10674|<br>25722|<br>40517|<br>41048|<br>42399|<br>43129|
|55-59<br>2549|<br>3634|<br>8417|<br>20869|<br>36855|<br>40200|<br>41621|<br>42341|
|60-64<br>1917|2835|6254|16286|<br>32247|<br>38961|<br>40390|<br>41105|
|65-69<br>1387|2015|4465|11635|<br>26759|<br>36453|<br>38162|<br>39182|
|70-74<br>887|<br>1351|<br>2856|<br>7802|<br>20708|<br>32519|<br>34523|<br>36381|
|75+<br>827|<br>1177|<br>2574|<br>7949|<br>25152|,<br>54189|<br>70521|<br>79162|
|TOTAL<br>115141|<br>182174|<br>340210|<br>4S8905|<br>619827|<br>683637|<br>71087|7<br>725780|
|FEMALES||||||||
|0-4<br>21240|<br>32664|<br>45340|<br>43076|<br>43493|<br>43569|<br>43559|<br>43527|
|5-9<br>16913|<br>27476|<br>42539|<br>43447|<br>43699|<br>43621|<br>43536|<br>43496|
|10-14<br>14280|<br>23475|<br>39820|<br>44094|<br>43912|<br>43596|<br>43494|<br>43479|
|15-19<br>12287|<br>19314|<br>36701|<br>44291|<br>43739|<br>43438|<br>43434|<br>43469|
|20-24<br>10130|<br>15912|<br>33417|<br>44207|<br>42998|<br>43261|<br>43401|<br>43469|
|25-29<br>8589|13339|29162|<br>43066|<br>42668|<br>43250|<br>43444|<br>43465|
|30-34<br>7053|11327|24866|<br>40696|<br>43000|<br>43428|<br>43470|<br>43428|
|35-39<br>5989|9232|20953|37784|<br>43491|<br>43543|<br>43378|<br>43338|
|40-44<br>4866|7731|16878|<br>34428|<br>43462|<br>43234|<br>43131|<br>43213|
|45-49<br>4157|6264|13634|<br>30920|43053|<br>42307|<br>42830|<br>43090|
|50-54<br>3366|<br>5209|<br>11138|<br>26493|<br>41427|<br>41660|<br>42611|<br>42983|
|55-59<br>2768|<br>4092|<br>9108|<br>22009|<br>38401|<br>41484|<br>42468|<br>42780|
|60-64<br>2214|<br>3288|<br>7032|<br>17821|<br>34616|<br>41206|<br>42121|<br>42363|
|65-69<br>1664|2401|5321|<br>13394|<br>30068|<br>40039|<br>41147|<br>41641|
|70-74<br>1143|1659|3643|9615|<br>24890|<br>37831|<br>39188|<br>40566|
|75+<br>1202|<br>1674|<br>3858|<br>11935|<br>37522|<br>80128|<br>105430|<br>117667|
|TOTAL<br>117860|<br>185056|<br>343410|<br>507278|<br>640438|<br>715598|<br>746641|<br>761976|
|BIRTH RATE|45.0|35.2|22.2|15.8|13.3|12.4|12.0|
|DEATH RATE|14.5|10.7|7.0|6.9|9.2|10.7|11.2|
|NET MIGRATION<br>RATE|-.1|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|3.03|2.49|1.55|.90|.42|.16|.08|
|TOTAL FERTILITY|6.242|4.517|2.612|2.081|2.058|2.044|2.041|
|eCO)- BOTH SEXES|52.52|57.32|66.76|75.07|79.31|82.84|84.24|
|IMR- BOTH SEXES|102.7|73.5|41.0|16.3|8.1|3.0|2.5|
12 WORLD, GEOGRAPHIC REGIONS, AND INCOME<sup>GROUPS</sup> WEST AC CA Populatton Projection (thousands)

|AGE GROUP<br>198<br>TOTAL M+F<br>18540<br>MALES|5<br>1990<br>8 214927|<br>1995<br>248674|2000<br>287080|2005<br>329757|<br>2010<br> <sup>374622</sup>|<br>2015<br><sup>420334</sup>|<br>2020<br><sup>467641</sup>|<br>202<br><sup>51519</sup>|5<br>2030<br><sup>7 561493</sup>|
|---|---|---|---|---|---|---|---|---|---|
|0-4<br>1763|2<br>19837|<br>22510|25414|28263|<br>298$6|30761|<br>31989|<br>3254|6<br>32333|
|5-9<br>1391|1<br>16437|<br>18624|21310|24250|<br>27076|<br>28728|<br>29712|<br>3102|5<br>31694|
|10-14<br>1145|6<br>13555|<br>16036|18198|20852|<br>23774|<br>26595|<br>28273|<br>2929|8<br>30649|
|15-19<br>9595|<br>11189|<br>13241|15672|17787|<br>20420|<br>23325|<br>26145|<br>2784|8<br>28914|
|20-24<br>780|6<br>9298|<br>10836|12823|15171|<br>172n6|<br>19870|<br>22760|<br>2558|2<br>27322|
|25-29<br>6353|<br>7516|<br>8945|10419|12325|<br>14629|<br>16701|<br>19287|<br>2216|7<br>24998|
|30-34<br>5207|<br>6102|<br>7212|8580|9986|<br>11856|<br>14121|<br>16179|<br>1875|1<br>21627|
|35-39<br>4379|<br>4978|5827|6885|8186|9562|11397|<br>13629|<br>1567|7<br>18238|
|<br> <br>40-44<br>3707|<br> <br>4150|4713|5516|6513|7778|9122|10923|<br>1312|0<br>15156|
|<br>45-49<br>3089|<br>3470|3881|4407|5154|6116|7339|8650|1040|9<br>12564|
|50-54<br>2500|<br>2842|3189|3567|4048|4760|5678|6851|8117|<br>9822|
|55-59<br>196|8<br>2241|<br>2545|2856|3193|<br>3645|<br>4311|5174|<br>628|1<br>7485<br>|
|60-64<br>148|7<br>1694|<br>1927|2189|2454|<br>2763|<br>3177|3785|<br>457|4<br>5591|
|65-69<br>103|9<br>1200|<br>1365|1554|1763|<br>1994|<br>2265|<br>2628|<br>315|8<br>3850|
|70-74<br>658|<br>755|<br>871|992|1127|1294|1481|1703|2000|<br>2431|
|75+<br>533|<br>613|<br>702|810|924|1073|<br>1259|1481|<br>174|8<br>2094|
|TOTAL<br>9132|0<br>105876|122424|141191|161997|183869|206133|<sup>229170</sup>|<sup>25230</sup>|<sup>2 274768</sup>|
|FEMALES||||||||||
|0-4<br>1745|9<br>19686|<br>22300|25133|27899|<br>29480|<br>30363|<br>31575|<br>3212|5<br>31915|
|5-9<br>1396|2<br>16362|<br>18594|21246|24137|<br>26894|<br>28525|<br>29491|<br>3078|7<br>31442|
|10-14<br>1165|1<br>13641|<br>16027|18256|20901|<br>23780|<br>26534|<br>28186|<br>2918|5<br>30514|
|15-19<br>9726|<br>11419|<br>13391|15757|17964|<br>20596|<br>23466|<br>26222|<br>2789|5<br>28926|
|20-24<br>7905|<br>9499|<br>11165|13114|15440|<br>17632|<br>20253|<br>23117|<br>2587|9<br>27580|
|25-29<br>6586|<br>7688|<br>9250|10890|12800|<br>15103|<br>17282|<br>19896|<br>2275|9<br>25533|
|30-34<br>5537|<br>6377|7456|8988|10591|<br>12480|<br>14761|<br>16933|<br>1954|2<br>22408|
|35-39<br>4677|<br>5334|<br>6157|7215|8707|10288|12157|14419|<br>16584|<br>19192|
|40-44<br>3949|<br>4481|5124|5930|6956|8421|9980|11829|<br>14071|<br>16231|
|45-49<br>3295|<br>3763|4281|4908|5686|6692|8128|9663|11490|<br>13710|
|50-54<br>2721|<br>3108|3560|4061|4661|5421|6402|7803|9309|<br>11109|
|55-59<br>2186|<br>2518|2887|3317|3789|4369|5106|6056|7414|<br>8884|
|60-64<br>1690|<br>1957|2266|2609|3004|3453|4006|4711|5621|<br>6922|
|65-69<br>1223|<br>1429|1667|1942|2243|2605|3021|3537|4197|<br>5052|
|70-74<br>808|<br>943|1114|1311|1534|1795|2112|2480|2941|<br>3535<br>|
|75+<br>713<br> <br>|<br>846<br> <br>|1010<br>|1213<br>|1449<br>|1745<br>|2107<br>|2554<br>|3095<br>|<br>3775<br> <br>|
|TOTAL<br>94088|<br>109052|126250|145889|167761|190754|214201|238471|26289|<br>286725|
|BIRTH RATE|46.0|44.4<br>4|2.6<br>4|0.5<br>|37.2<br>|33.7<br>3|1.1|28.3|25.5|
|DEATH RATE|16.5|15.2<br>1|3.9<br>1|2.8<br>|11.6<br>|10.6|9.7|9.0|8.3|
|RATE OF HAT. INC.|2.95|2.91<br>2|.87<br>2|.77<br>|2.55<br>|2.31<br>|2.14|1.94|1.72|
|NET MIGRATION<br>RATE|<br>.1|.0|.0<br>|-.0|-.0|-.0|-.0|.0|.0|
|GROWTH<br>RATE|2.95|2.92<br>2|.87<br>2|.77<br>|2.55<br>|2.30<br>|2.13|1.94|1.72|
|TOTAL FERTILITY|6.298<br>6|.158<br>5.|797<br>5.|378<br>4|.806<br>4|.212<br>3|.755<br>|3.315|2.919|
|NRR|2.278<br>2|.288<br>2.|220<br>2.|116<br>1|.928<br>1|.726<br>1|.571<br>|1.415|1.271|
|e(O)- BOTH SEXES|49.02<br>5|0.50<br>52|.16<br>53|.63<br>5|5.22<br>5|6.87<br>5|8.58<br>|60.37|62.23|
|eCIS)- BOTH SEXES|47.13<br>4|7.53<br>47|.93<br>48|.08<br>4|9.07<br>5|0.10<br>5|1.17<br>|52.29|53.44|
|IMR- BOTH SEXES|113.1<br>1|03.8<br>9|3.4<br>8<br>|2.5<br> <br> <br>|76.7<br>7<br> <br>|0.8<br> <br> <br>|64.8<br> <br>|58.8<br>|52.7<br>|
|q(5)- BOTH SEXES|.1809<br>|.1660<br>.1|455<br>.1|262<br>.|1169<br>.|1075<br>.|0978<br>|.0881|.0782|
|<br>DEP. RATIO<br>96.5|96.1|94.5|91.8|89.1|84.3|77.7|70.7|64.6|59.4|
WORLD, GEOGRAPHIC REGIONS, AND INCOMfE GROUPS 13 Stmary Projection for 25-Year **Periods** WEST _AFRICA_

|AGE**GROUJP**|<br>1985|2000|2025|2050|2075|2100|2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL**M+F**<br>|185408|<br>267080|<br>515197|7m42|891506|9m7a|1019807|<br>1042986|
|MALES<br>||<br>|||||||
|0-4<br>|17632<br>|<br>25414<br> <br>|32546<br> <br>|31199<br>|31245<br>|31440|3148?|<br>31481|
|5-9<br>|13911<br>|<br>21310<br> <br>|<br>31025<br> <br>|30879|31093|31362|31464|31457|
|10-14<br>|11456<br>|<br>18198<br> <br>|<br>29298<br> <br>|30736<br>|31013|<br>31300|31456|31451|
|15-19<br>|**9595**<br>|<br>15672<br>|<br>2784s<br> <br>|30625<br>|30877<br>|<br>31200<br>|31422<br>|31426|
|20-24<br>|780<br>|12823<br>|<br>25582<br>|30835<br>|30608<br>|31024<br>|31333|31362|
|25-29<br>|6353<br>|10419<br>|22167|30397|30487|30796|31176|<br>31265|
|30-34<br>|5207<br>|8580<br>|18751<br>|<br>29151<br>|<br>30124|30578|31012|<br>3b66|
|35-39<br>|4379<br>|6885<br>|15677|<br>27213|<br>29804|30357|30830|31055|
|40-44<br>|3707<br>|5516|13120|<br>25436|29454|30037|30579|30894|
|45-49<br>|3089<br>|4407<br>|10409|22903<br>|29314|29540|30221|30650|
|50-54<br>|2500|3567|8117|19254|28286|28984|29667|30215|
|55-59<br>|1968<br>|2856<br>|6281<br>|15485<br>|26133|27903|28890|29578|
|60-64<br>|1487<br>|2189<br>|4574<br>|11941<br>|22963<br>|26498<br>|27837|28687|
|65-69<br>|1039<br>|1554<br>|3158<br>|8807<br>|19479<br> <br>|24540<br>|26290|27372|
|70-74<br>|658<br>|992<br>|2000<br>|5724|<br>15027|21998|23972|<br>25402|
|**75s**|533<br>|810|1748<br>|5177|16856|35993|4728|<br>53919|
|TOTAL<br>|91320|141191|<br>252302|355761|432762|473551|<br>494922|507382|
|FEMALES<br>|||||||||
|0-4|17459<br>|25133|32125|30797|30657|30608|30604|30597|
|5-9<br>|13962<br>|21246<br> <br>|30787<br>|30592<br>|30614|30597|30591|30581|
|10-14<br>|11651|<br>18256|29185|30518|30623|30601|30588|30579|
|15-19<br>|9726<br>|<br>15757<br>|<br>27895<br> <br>|30511<br>|30601<br>|30590|30574|30571|
|20-24<br>|7905<br>|13114<br>|<br>25879<br>|30897<br>|30495<br>|30549|30543|30558|
|25-29<br>|6586<br>|10890<br>|22759|30678<br>|30511|30490|30523|30540|
|30-34<br>|5537<br>|8988<br>|19542<br> <br>|<br>29653<br>|30285<br>|30429|30494|30517|
|35-39<br>|4677<br>|7215<br>|<br>16584|27928|30112|30372|<br>30453|30481|
|40-44<br>|3949<br>|5930|14071|<br>26426|29958|30258|30379|30422|
|45-49<br>|3295<br>|4908<br>|11490<br>|24209<br>|30121|<br>30021|30252|30329|
|50-54<br>|2721<br>|4061<br>|9309<br>|20917|29556|29814|30051|30206|
|55-59|2186<br>|3317|7414|17498|28046|29252|29774|30021|
|60-64<br>|1690<br>|2609<br>|5621<br>|14250|25664|28584|29408|29756|
|65-69<br>|1223|1942|4197|11298|23179|27682|28840|29353|
|70-74<br>|J08<br>|<br>1311<br>|2941<br>|8188<br>|19601<br>|26602<br>|27870|28689|
|75+<br>|713<br>|1213<br>|3095<br>|9420<br>|28720<br>|57588<br>|73941<br>|82405|
|TOTAL|94088|145889|262896|373781|458743|504037|524885|535605|
|BIRTH RATE<br>||44.2<br>|33.5|21.0|15.4|13.3|12.4|12.1|
|DEATH RATE<br>|<br>|15.1<br>|10.5|7.3|7.5|9.7|10.8|11.2|
|**NET**MIGRATI<br> <br>|ON<br>RATE<br>|.0|**-.0**|**.0**|.0|**.0**|.0|**.0**|
|GROWTH<br>RATE<br>|<br>|2.91<br>|2.34<br>|1.39|.80|.37|.17|.09|
|TOTAL FERTIL<br>|ITY<br>|6.058<br>|4.141<br>|2.435<br>|2.077<br>|2.056|2.043|2.040|
|eCO)**-** BOTH|EXES|50.71|57.32|66.63|74.67|79.11|82.73|84.17|
|**IMR-** BOTH S|EXES|'02.7|70.4|40.2|17.3|8.5|3.0|2.5|
14 WORLD, GEOGRAPHIC REGIONS AND INCOME GROUPS NORTH AFRICA

|Population Projection (thousands)|
|---|

|AGE GROUP<br>1985|<br>1990|<br>199|5<br>2000|2005|2010|2015|2020|<br>2025|<br>2030|
|---|---|---|---|---|---|---|---|---|---|
|TOTAL M+F<br>12350|3140182|<br>158445|<br>176994|195776|214519|232760|25037?|<br>267861|<br>284912|
|MALES||||||||||
|0-4<br>1050|5<br>10961|<br>11945|<br>12244|12523|12699|<br>12659|12582|<br>12793|<br>12899|
|5-9<br>8842|<br>10093|<br>10605|<br>11633|11987|12288|12492|12483|<br>12438|<br>12679|
|10-14<br>756|5<br>872|2<br>9975|<br>10497|11531|11893|12201|12415|<br>12418|<br>12385|
|15-19<br>6702|<br>7471|<br>8622|<br>9872|<br>10397|11433|11802|12118|<br>12342|<br>12355|
|20-24<br>5687|<br>6580|<br>7347|<br>8492|9733|<br>10265|11305|11684|<br>12011|<br>12247|
|25-29<br>5061|<br>5557|<br>446|<br>7212|<br>8346|<br>9587|10128|11171|<br>11563|<br>11904|
|30-34<br>4094|<br>4939|<br>5435|<br>6321|7083|8215|9455|1000|5<br>11054|<br>11459|
|<br> <br>35-39<br>3002|<br> <br> <br>3985|<br> <br>4820|<br>5318|6197|<br>6960|8088|9327|<br>9886|<br>10942|
|40-44<br>2355|<br>2906|<br>3870|<br>4696|5191|6066|6828|7950|<br>9187|<br>9755|
|45-49<br>2145|<br>2263|<br>2799|<br>3741|4552|5045|5911|6669|<br>7780|<br>9011|
|50-54<br>1787|<br>203|7<br>2152|<br>2668|3580|4372|<br>4859|5709|<br>6457|<br>7551|
|55-59<br>1540|<br>1664|<br>1901|<br>2013|2503|3374|4135|4610|<br>5435|<br>6164|
|60-64<br>1177|<br>1390|<br>1505|<br>176|1835|2289|3101|3818|<br>427|2<br>5055|
|65-69<br>8s8|<br>101|0<br>1196|<br>1300|1so1|1602|2008|273|9<br>339|2<br>3814|
|70-74<br>639|<br>701|<br>802|<br>954|1045|1217|1307|1647|<br>2267|<br>2831|
|75+<br>591|<br>709|<br>820|<br>951|1140|1310|1526|1716|<br>2067|<br>2742|
|TOTAL<br>62580|<br>70989|<br>80240|<br>89639|99145|108614|117805|126642|<br>135361|<br>143795|
|FEMALES||||||||||
|0-4<br>9924|<br>10575|<br>11509|<br>11781|12035|12195|12148|12062|<br>12254|<br>12343|
|5-9<br>8357|<br>9565|<br>10262|<br>11240|11564|11837|12022|12002|<br>11945|<br>12163|
|10-14<br>7130|<br>8247|<br>9458|10165|11149|11481|11762|1195|6<br>11947|<br>11902|
|15-19<br>6307|<br>7044|<br>8158|9369|10079|11067|11406|11695|<br>11899|<br>11901|
|20-24<br>5421|<br>6208|<br>6943|8056|9265|<br>9981|10973|<br>11323|<br>11623|<br>11840|
|25-29<br>4841|<br>5317|<br>6099|6838|7946|9157|9879|10879|<br>11242|<br>11556|
|30-34<br>4013|<br>4737|<br>5211|5994|6733|7840|9051|9782|<br>10789|<br>11167|
|35-39<br>3041|<br>3915|<br>4631|5107|ss5s|6629|7734|<br>8946|<br>9685|<br>10702|
|40-44<br>2452|<br>2955|<br>3813|4522|4999|5778|6520|7622|<br>8836|<br>9584|
|45-49<br>2289|<br>2372|<br>2862|3705|4405|4882|<br>5658|6399|<br>7497|<br>8711|
|50-54<br>1927|<br>2197|<br>2279|2756|3578|4268|4744|5514|<br>6253|<br>7344|
|55-59<br>1647|<br>1822|<br>2081|2164|2624|3422|4098|4571|<br>5333|<br>6068|
|60-64<br>1244|<br>1517|<br>1683|1930|2014|2454|3219|3875|<br>4343|<br>5093|
|65-69<br>960|<br>1094|<br>1339|<br>1494|1725|<br>1813|2223|2942|<br>3569|<br>4031|
|70-74<br>712|<br>781|895|1103|1244|1452|1542|1911|<br>2561|<br>3142|
|75+<br>707<br>|<br>848<br> <br>|978<br>|1130<br>|1382<br>|1650<br>|1976<br>|2257<br>|<br>272<br>|4<br>3569<br> <br>|
|TOTAL<br>60973|<br>69194|78204|87355|96631|105905|114955|12373|5132500|<br>141117|
|BIRTH<br>RATE|36.2|34.3|30.8<br>|28.0<br>|25.6<br>|23.3<br>|21.3|20.0|18.8|
|<br> <br>DEATH RATE|<br>10.6|<br>946|<br> <br>8.6|<br>7.8|7.3|6.9|6.7|6.5|6.4|
|RATE OF NAT. INC.|2.56|2.47|2.23<br>|2.02<br>|1.83<br>|1.63<br>|1.46|1.35|1.23|
|<br>NET MIGRATION<br>RATE|<br> <br>-.3|<br>-.2|<br>-.1|-. 1|-.0|.0|.0|.0|.0|
|GROWTHRATE|253|245|221<br>|02<br>|83<br>|163<br>|146|135|123|
|<br>TOTALFERTILITY|.<br>5032|.<br>4547<br>|.<br> <br>4012<br>3|.<br> <br>541<br>3|.<br> <br>147<br>2|.<br> <br>797<br>2|.<br>531|.<br>2401|.<br>2306|
|<br>NRR|.<br>2022|.<br> <br>1879|.<br> <br>1.706<br>1|.<br>.<br>537<br>1|<br>.<br>.379<br>1.|<br>.<br>241<br>1|<br>.142|.<br>1.099|.<br>1.071|
|<br>**e(O)**-BOTHSEXES|.<br>5099|.<br>60.84<br>|<br> <br>62.74<br>6|<br> <br>4.62<br>6|<br> <br>6.01<br>67|<br>.44<br>6|8.92|70.47|72.08|
|<br>etIS)- BOTH SEXES|.<br> 53.17|<br> <br>53.65|<br> <br>54.30<br>5|<br> <br>5.07<br>5|<br>5.89<br>5|6.74<br>5|7.62|58.53|59.49|
|<br>**IMR**- BOTHSEXES<br>|80.1<br>|69.7<br>|59.7<br> <br> <br>|50.5<br>4<br> <br>|5.1<br> <br> <br>|39.7<br>3<br> <br>|3.9<br>|28.2<br>|22.2<br>|
|q(5) - BOTH SEXES|.1208|.1031|.0866<br>.0|717<br>.0|641<br>.0|562<br>.0|479|.0395|.0308|
|<br>DEP. RATIO<br>85.1|82.3|78.7|72.7|67.4|61.2|56.3|53.0|50.9|49.6|
WORLD, GEOGRAPHIC REGIONS, AND INCOME GROUPS 15 SuLmary Projection for 25-Year Periods NORTH AFRICA

|AGEGROUP|1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2S00|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL M+F<br>|123553|<br>176994|<br>267861|<br>342883|<br>387810|<br>407537|<br>417844|<br>422864|
|MALES<br>|||||||||
|0-4|10505|<br>12244|<br>12793|<br>12667|<br>12705|<br>12719|<br>12719|<br>12716|
|5-9|8842|11633|<br>12438|<br>12670|<br>12704|<br>12711|<br>12710|<br>12706|
|10-14|7565|10497|<br>12418|<br>12670|<br>12710|<br>12704|<br>12706|<br>12703|
|15-19<br>|6702|9872|12342|<br>12667|<br>12679|<br>12680|<br>12694|<br>12696|
|20-24<br>|5687|8492|12011|<br>12669|<br>12581|<br>12637|<br>12668|<br>12675|
|25-29|5061|7212|<br>11563|<br>12446|<br>12512|<br>12591|<br>12633|<br>12642|
|30-34|4094|6321|11054|<br>12101|<br>12481|<br>12560|<br>12596|<br>12606|
|35-39<br>|3002<br>|5318|9886|12013|<br>12427|<br>12520|<br>12549|<br>12565|
|40-44<br>|2355|4696|9187|11849|<br>12353|<br>12430|<br>12475|<br>12510|
|45-49|2145|3741|7780|11417|<br>12259|<br>12262|<br>12372|<br>12429|
|50-54|1787|2668|6457|10798|<br>11870|<br>12061|<br>12217|<br>12296|
|55-59<br>|1540|2013|5435|10003|<br>11256|<br>11807|<br>11999|<br>12093|
|60-64<br>|1177|1726|4272|8501|10738|<br>11419|<br>11682|<br>11795|
|65-69<br>|888<br>|1300<br>|3392|7288|9952|10843|<br>11179|<br>11342|
|70-74|639|954|2267|5411|8683|9983|10386|<br>10655|
|75+<br>|591<br>|951<br>|2067<br>|6703<br> <br>|14686<br>|19663|22706|<br>24141|
|TOTAL<br>|62580|89639|135361|<br>171873|<br>192600|<br>201590|<br>206291|<br>208568|
|FEMALES|||||||||
|0-4|9924|11781|12254|12092|12110|12109|12107|<br>12103|
|5-9|8357|11240|11945|12112|12117|12108|12101|<br>12097|
|10-14<br>|7130<br>|10165<br>|11947<br>|12126<br>|12129|12105|12097|<br>12095|
|15-19|6307|9369|11899|12144|12113|12092|12091|<br>12093|
|20-24<br>|5421|8056|11623|12187|12048|12075|12085|<br>12091|
|25-29|4841|6838|11242|12025|12024|12066|12082|<br>12086|
|30-34|4013|5994|10789|11738|12035|12068|12077|<br>12077|
|35-39<br>|3041<br>|5107|9685|11695|<br>12021|12061|12060|<br>12063|
|40-44|2452|4522|8836|11583|12000|12018|12029|<br>12043|
|45-49<br>|2289|3705|7497|11226|11981|11915|11985|12016|
|50-54|1927|2756|6253|10729|11722|11826|11933|11980|
|55-59|1647|2164|5333|10108|11292|11739|11869|11925|
|60-64|1244|1930|4343|8813|11027|11585|11769|11837|
|65-69<br>|960|1494|3569|7673|10585|11351|11589|11700|
|70-74|712|1103|2561|5995|<br>9729|10979|11264|11484|
|75+<br>|707<br>|1130|2724|8763|20278|27851|32415|34605|
|TOTAL|60973|87355|132500|171010|195211|<br>205948|211553|214295|
|BIRTH RATE||33.6|23.3|16.6|13.6|12.5|12.0|11.8|
|DEATH RATE||9.5|7.0|6.8|8.7|10.5|11.0|11.4|
|NET MIGRATI|ON<br>RATE|-. 2|-. 0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE||2.40|1.66|.99|.49|.20|.10|.05|
|TOTALFERTI<br>|LITY<br>|4.480<br>|2.826<br>|2.188|2.078|2.068|2.e6z|2.060|
|eCO) BOTH|SEXES|61.01|67.73|74.54|79.27|82.06|84.28|85.14|
|IMR- BOTH S|EXES|69.6|39.5|16.6|7.2|4.3|2.5|2.2|
16 WORLD, GEOGRAPHIC REGIONS, AND INCOME GROUPS _AMERICA_ Poputatfon Projection (thousands)

|AGEGROUP|1985|<br>190|<br>195|2000|2005|2010|<br>2015|<br>2020|<br>2025|<br>2030|
|---|---|---|---|---|---|---|---|---|---|---|
|TOTALM+F|667381|<br>720914|<br>776830|<br>829875|<br>879231|926593|<br>973651|<br>1019274|106132|5 1098600|
|MALES|||||||||||
|0-4|37721|<br>39329|<br>40225|<br>39093|37856|38000|<br>39031|<br>39577|<br>3936|9<br>38912|
|5-9|34789|<br>37373|39080|<br>40031|38940|37727|<br>37889|<br>38933|<br>3948|9<br>39290|
|10-14<br>|33525<br>|<br>34668<br>|<br>37295|<br>39017|39973|38889|<br>37683|<br>37849|<br>38892|<br>39449|
|**15-19**<br>|32300<br>|<br>33359<br> <br>|<br>34548<br> <br>|<br>37187<br>|38914|39872|<br>38798|<br>37602|<br>37769|<br>38813|
|20-24<br>|31568|<br>32038|<br>33180|<br>34395|37037|38758|<br>39716|<br>38649|<br>37453|<br>37616|
|25-29-<br>|28587<br>|<br>31267<br>|<br>31847|33019|34244|36868|<br>38580|<br>39530|<br>38459|<br>37259|
|30-34<br>|25059|<br>28304|<br>31064|31676|32857|34075|<br>36686|<br>38389|<br>39329|<br>38259|
|35-39<br>|20930<br>|<br>24774<br> <br>|<br>28074<br>|30843|31471|32647|<br>33862|<br>36462|<br>38158|<br>39097|
|40-44<br>|16820<br>|<br>20614<br>|<br>24476|27773|30539|31166|<br>32340|<br>33554|<br>36140|<br>37836|
|45-49|14052|<br>16440|<br>20215|24043|27322|30058|<br>30694|<br>31871|<br>33091|<br>35674|
|50-54|12428|<br>13552|<br>15911|<br>19617|23382|26605|<br>29303|<br>29957|<br>31146|<br>32385|
|55-59|11529|<br>11742|<br>12852|<br>15151|18754|22406|<br>25556|<br>28207|<br>28898|<br>30117|
|60-64<br>|10055<br>|<br>10571<br>|<br>10817<br>|<br>11901<br>|14116|17562|<br>21066|<br>24124|<br>2672|3<br>27476|
|65-69<br>|7941<br>|8804<br>|9325|9612|10662|12746|<br>15976|<br>19282|<br>22215|<br>24740|
|70-74<br>|5974<br>|6442<br>|7238<br>|7762<br>|8103<br>|<br>9073<br>|<br>10973<br> <br>|<br>13909<br>|<br>16940|<br>19692|
|75+<br>|7120|7616|8483|9755|11081|12181|<br>13664|<br>16236|<br>20405|<br>25695|
|TOTAL<br>|330398|<br>356894|<br>384628|410875|435251|458634|<br>481818|<br>504131|<br>524476|<br>542309|
|FEMALES|||||||||||
|0-4|36417|37765|38586|37466|36242|36353|<br>37312|<br>37806|37580|<br>37115|
|5-9<br>|33717<br>|36135|37581|38453|37366|36160|<br>36284|<br>37252|37751|<br>37529|
|10-14<br>|32518<br>|33630|36095|37557|38431|37347|<br>36144|<br>36269|37233|<br>37730|
|15-19<br>|31422<br>|32431<br>|33596<br>|36074<br>|37537<br>|38407|<br>37323|<br>36121|36241|<br>37201|
|20-24|31116|31316|32416|33604|36075|37526|<br>38386|<br>37296|36082|<br>36188|
|25-29|28459|30994|31304|32430|33612|36065|37501|<br>38349|37243|<br>36013|
|30-34<br>|25197|28324|30940|31276|32401|33571|<br>36011|<br>37438|38272|<br>37158|
|35-39<br>|21234<br>|25041<br>|28223<br>|30852<br>|31193<br>|32310|33476|<br>35909|37330|<br>38160|
|40-44|17221|21053|24883|28069|30695|31037|32153|33320|35749|<br>37172|
|45-49|14543|17003|20833|24650|27831|30445|30793|31914|33088|<br>35519|
|50-54|13070|14265|16721|20525|24319|27476|30076|30438|31568|<br>32756|
|55-s9|12428|12701|13902|16341|20109|23854|26985|29569|29955|<br>31104|
|60-64|11231|11899|12203|13409|15830|19530|<br>23214|26315|28889|<br>29317|
|65-69|9314|10479|11166|11518|12738|15104|18716|<br>22323|25396|<br>27970|
|70-74|7595|8287|9427|10147|10568|11756|14044|<br>17531|21038|<br>24083|
|75+<br>TOTAL|11500<br>|12694<br>|14327<br>|16629<br>|19033<br>|21017<br>|23416<br>|27292<br>|33435<br>|<br>41277<br> <br>|
||336983|364020|392202|419000|443980|467959|491834|515143|536849|<br>556291|
|BIRTH RATE||23.3<br>|21.9|19.7<br>|17.8<br>|16.9|16.4|15.8|15.0|14.2|
|DEATH RATE<br>|<br>|7.9|7.3|6.8|6.5|6.6|6.6|6.7|6.9|7.3|
|RATE OF NAT|. INC.|1.54<br>|1.47|1.29<br>|1.13<br>|1.03|.97|.90|.80|.69|
|NET MIGRAT|ION<br>RATE|.0|.3|.3|.3|.2|.2|.1|.1|.0|
|GROWTH<br>RATE||**1.S4**<br>|1.49<br>|1.32<br>|1.16<br>|1.05|.99|.92|.81|.69|
|TOTAL FERTI|LITY<br>2|.823<br>2|.697<br>2|.486<br>2.|291<br>2.|188<br>2|.151<br>2|.122<br>2|.096<br>|2.080|
|NRR|1|.301<br>1|.246<br>1|.162<br>1.|078<br>1.|033<br>1|.019<br>1|.011<br>1|.004<br>|1.001|
|etO) - BOTH<br>|SEXES 7<br>|0.32<br>7<br>|1.59<br>7|2.90<br>7|4.21<br>7|5.09<br>7|6.02<br>7|7.00<br>7|8.03<br>|79.11|
|**e(l5) -** BOT|H SEXES 5|8.71<br>5|9.58<br>6|0.49<br>6|1.43<br>6|2.04<br>6|2.68<br>6|3.35<br>6|4.07<br>|64.82|
|**ItR**- BOTH S<br>|EXES<br> <br>|41.9<br> <br> <br>|36.1<br> <br> <br>|30.6<br>2<br> <br>|5.3<br>2<br> <br>|1.5<br> <br>|17.7<br> <br>|13.9<br> <br>|10.2<br> <br>|6.5<br>|
|q(5) - BOT|SEXES .|0516<br>.|441<br>.|371<br>.0|308<br>.0|263<br>.|0218<br>.|0174<br>.|0129<br>|.0086|
|<br>DEP. RATIO|63.1|61.0|59.2|55.7|52.1|49.4|49.2|<br>51.0|<br><br> <br>53.5|55.8|
WORLD, GEOGRAPHIC REGIONS, AND INCOME GROUPS 17 Suary Projection for 25-Year Periods AMERICA

|AGE GROJP|1985|<br>2000|2025|2050|<br>2075|2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL M+F|667381|829875|1061325|<br>1201001|<br>1259882|<br>1285224|<br>1300544|<br>1308110|
|MALES|||||||||
|0-4|37721|39093|39369|39174|39032|38987|38987|<br>38990|
|5-9|34789|40031|39489|39011|38928|38940|38960|<br>38965|
|10-14|33525|39017|38892|38732|38870|38944|38965|<br>38963|
|15-19|32300|37187|37769|38548|<br>38885|38954|38951|<br>38941|
|20-24|31568|34395|37453|38643|38920|38907|38876|<br>38871|
|25-29|28587|33019|38459|38899|38852|38764|38751|<br>38765|
|30-34|25059|31676|39329|38902|38586|38570|38624|<br>38661|
|35-39|20930|30843|38158|38139|38165|38389|38519|<br>38565|
|40-44|16820|27773|<br>36140|36825|37803|38252|38398|<br>38429|
|45-49|14052|24043|33091|36252|37672|38099|38184|<br>38200|
|50-54|12428|19617|31146|36714|37515|<br>37693|3774|2<br>37793|
|55-59|11529|15151|28898|36659|36818|36859|37047|<br>37195|
|60-64|10055|11901|26723|34258|35063|35598|36111|<br>36376|
|65-69|7941|9612|22215|30582|<br>32356|33965|34817|<br>35157|
|70-74|5974|7762|16940|25463|29600|31852|32874|33250|
|75+|7120|9755|20405|44421|62635|69832|74497|<br>76914|
|TOTAL|330398|410875|524476|591222|619700|632604|640304|<br>644034|
|FEMALES|||||||||
|0-4|36417|37466|37580|37319|<br>37169|37124|37123|37126|
|5-9|33717|38453|37751|37190|37081|37089|37106|37110|
|10-14|32518|57557|37233|36945|37031|37097|37114|37112|
|15-19|31422|36074|36241|36815|37069|37126|37118|37108|
|20-24|31116|33604|36082|37001|37169|37139|37101|37092|
|25-29|28459|32430|37243|37397|37216|37094|37065|37071|
|30-34|25197|31276|38272|37540|37067|36995|37025|37052|
|35-39|21234|30852|37330|36950|36769|36907|37003|37035|
|40-44|17221|<br>28069|35749|35865|36567|36892|36994|37006|
|45-49|14543|24650|33088|35565|36650|36919|36952|36942|
|50-54|13070|20525|31568|36466|36872|36845|<br>36815|36828|
|55-59|12428|16341|29955|37097|36752|36515|36580|36672|
|60-64|11231|13409|28889|35649|35804|35962|36297|36485|
|65-69|9314|11518|25396|33366|34219|35382|35994|36229|
|70-74|7595|10147|21038|29716|33064|34833|<br>35542|35780|
|75+|11500|16629|33435|68900|93682|102703|108410|111428|
|TOTAL|336983|419000|536849|609779|640183|652621|660240|664076|
|BIRTH RATE||21.6|16.3|13.4|12.4|12.0|11.8|11.7|
|DEATH RATE||7.3|6.7|8.5|10.5|11.2|11.3|11.5|
|NET MIGRATI|ON<br>RATE|.2|.2|.0|.0|.0|.0|.0|
|GROWTH RATE||1.45|.98|.49|.19|.08|.05|.02|
|TOTAL FERTI|LITY|2.662|2.167|2.073|2.064|2.061|2.059|2.059|
|e(O)- BOTH|SEXES|71.67|76.16|80.39|82.93|84.35|85.44|85.87|
|**IMR-** BOTH S|EXES|36.2|17.7|5.2|3.0|2.5|2.1|2.0|
**18 WORLD,** GEOGRAPHIC REGIONS, AND INCOME GROUPS

# LATIN AMERICA AND THE CARIBBEAN

|LATIN A|MERI|A AND|THE C|RIBBEA|N||Pop|ulation P|rojection|(thousands)|
|---|---|---|---|---|---|---|---|---|---|---|
|AGE GROWP|<br>1985|<br>1990|<br>1995|<br>2000|2005|2010|2015|2020|<br>2025|<br>2030|
|TOTAL**M+F**|399445|<br>440766|<br>483233|<br>524032|562470|600038|637907|674790|<br>709350|<br>741083|
|MALES|||||||||||
|0-4|27401|<br>28555|<br>28951|<br>28215|27203|27275|28052|28388|<br>28157|<br>27794|
|5-9|25104|<br>26927|<br>28171|<br>28635|27966|27006|27122|27927|<br>28292|<br>28089|
|10-14|23657|<br>24890|<br>26748|<br>28016|28504|27861|26927|27058|<br>27876|<br>28254|
|15-19|21630|<br>23408|<br>24678|<br>26557|27849|28360|27745|26829|<br>26974|<br>27806|
|20-24|1951|1<br>21203|<br>23051|<br>24366|26285|27612|28162|27573|<br>26683|<br>26850|
|25-29|16310|<br>18989|<br>207m|22679|24050|26008|27379|<br>27951|<br>27392|<br>26533|
|30-34|13730|<br>15851|<br>18599|<br>20433|22382|23791|25783|27169|<br>27764|<br>27234|
|35-39|11048|<br>13341|<br>15511|<br>18282|20151|22124|23561|25562|<br>26964|<br>27581|
|40-44|9035|<br>10709|<br>13021|<br>15201|17980|19861|21845|2329|0<br>25296|<br>26713|
|45-49|7642|<br>8711|<br>10383|<br>12676|14850|17607|19487|21467|<br>22918|<br>24928|
|50-54|6451|<br>7284|<br>8340|<br>9978|12226|14362|17074|18942|<br>20914|<br>22375|
|55-59|5494|<br>6018|<br>6822|<br>7842|9421|11590|13668|16313|<br>18168|<br>20135|
|60-64|4348|<br>4955|<br>5449|<br>6208|7174|8669|10728|12726|<br>15281|<br>17121|
|65-69|3229|<br>3719|<br>4262|<br>4720|5421|6319|7698|9603|<br>11483|<br>13906|
|70-74|2393|<br>2535|<br>2941|<br>3409|3828|4450|5250|6467|<br>8157|<br>9862|
|75+|2612|<br>2799|<br>3027|<br>3470|4134|4859|5777|<br>6976|<br>868|2<br>11099|
|TOTAL|199595|<br>219893|<br>24072|9260686|279422|297753|316259|334241|<br>351001|<br>366280|
|FEMALES|||||||||||
|0-4|26578|<br>27517|<br>27866|<br>27125|26118|26163|26884|27179|<br>26934|<br>26561|
|5-9|2448|1<br>26161|<br>27191|<br>27603|26921|25961|26046|26792|<br>27112|<br>26891|
|10-14|23134|<br>24296|<br>26015|<br>27069|27503|26845|25907|26004|<br>26760|<br>27092|
|15-19|21181|<br>22942|<br>24145|<br>25885|26961|27417|26780|25855|<br>25964|<br>26730|
|20-24|19287|<br>20875|<br>22707|<br>23947|25723|26832|27320|26701|<br>25794|<br>25918|
|25-29|16289|<br>18934|<br>20607|<br>22479|23763|25575|26721|27224|<br>26624|<br>25737|
|30-34|13825|<br>15989|<br>18696|<br>20403|22310|23623|25461|26618|<br>27136|<br>26554|
|35-39|11161|<br>13577|<br>15785|<br>18510|20241|22165|23497|25342|<br>26512|<br>27043|
|<br>40-44|<br>9176|<br> <br> <br>10958|<br> <br> <br>13392|<br> <br> <br>15608|<br>18340|<br>20079|<br>22011|<br>23350|<br> <br> <br>25201|<br><br> <br>26383|
|45-49|7840|<br>8988|<br>10774|<br>13200|15416|18138|19879|21811|<br>23156|<br>25014|
|50-54|6709|<br>7632|<br>8782|10557|12966|15164|17866|<br>1960|4<br>21536|<br>22891|
|55-59|5784|<br>6459|<br>7381|<br>8523|10281|12652|14826|17500|<br>19236|<br>21169|
|60-64|4690|<br>5454|<br>6130|7045|8181|9899|12218|1436|0<br>17002|<br>18743|
|65-69|3602|<br>4257|<br>5003|<br>5679|6590|7693|9358|11609|<br>13714|<br>16321|
|70-74|2790|<br>3054|3670|4390|5064|5932|6989|8576|<br>10733|<br>12790|
|75+<br>|3323<br>|<br>3781<br> <br>|4361<br>|5325<br> <br>|6670<br>|8147<br>|9885<br>|12021<br>|<br>14934<br> <br>|<br>18966<br> <br>|
|TOTAL|199850|<br>22087|3242504|<br>263347|283048|302284|321647|340549|<br>358349|<br>374804|
|BIRTH RATE||28.4|26.0|23.0|20.4<br>|19.0<br>|18.2|17.3|16.2|15.1|
|<br>DEATH RATE|<br>|<br>7.3|<br>6.6|<br>6.1|<br> <br>5.8|<br> <br>5.8|<br>5.8|<br>6.0|<br>6.1|6.4|
|RATE OFNA|T.INC.|2.12|1.94|1.69|1.46<br>|1.32<br>|1.24|1.13|1.00|.88|
|<br>NET MIGRAT|<br>ION<br>RATE|-1.5|-.9|-.7|-.5|-.3|-.1|-. 1|-.0|.0|
|<br>GROWTH<br>RAT|<br> <br>E|<br>1.97|<br>1.84|<br>1.62|<br>1.42<br>|<br>1.29<br>|<br>1.22|<br>1.12|<br>1.00|.88|
|<br> <br>TOTAL FERTI|<br>LITY|<br>3.532|<br>3.116|<br>2.737<br>2|.421<br>2|.261<br>2.|200<br>|2.154|2.114|2.087|
|<br>NRR||1.581|1.416|1.260<br>1|.126<br>1|.058<br>1|.036<br>|1.021|1.009|1.003|
|**e(O)**- BOTH|SEXES|66.83|68.39|69.98<br>7|1.56<br>7|2.66<br>7|3.80<br>|74.99|76.23|77.53|
|**e(15)**- BOT|H SEXES|56.69|57.61|58.57<br>5|9.60<br>6|0.28<br>6|1.01<br>|61.76|62.56|63.40|
|**IMR**- BOTH S|EXES|53.1|46.2|39.0<br>|32.3<br>|27.4<br>|22.5|17.6|12.7|7.9|
|q(5)<br>-BOT|H SEXES|0653|0562|0472<br>|0391<br>|333<br>0|275|0217|0160|.0102|
|<br> <br>DEP. RATIO|<br> <br>72.8|.<br>68.1|.<br>63.8|.<br>.<br>58.6|<br>.<br>53.5|<br>.<br>49.4|<br>47.7|.<br>47.9|.<br>48.9|<br>50.2|
WORLD, GEOGRAPHIC REGIONS, AND INCOME GROUPS 19 Summary Projection for 25-Year Periods

# LATIN AMERICA AND THE CARIBBEAN

|AGEGROUP|1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTALH+F|399445|<br>524032|<br>709350|<br>838581|<br>893748|<br>915957|<br>929020|<br>935392|
|MALES|||||||||
|0-4|27401|<br>28215|<br>28157|<br>28048|<br>27944|<br>27904|<br>2790|2<br>27904|
|5-9|25104|<br>28635|<br>28292|<br>27940|<br>27867|<br>27868|<br>27882|<br>27886|
|10-14|23657|<br>28016|<br>27876|<br>27722|<br>27814|<br>27867|<br>27885|<br>27885|
|15-19|21630|<br>26557|<br>26974|<br>27541|<br>27814|<br>27875|<br>27876|<br>27869|
|20-24|19511|<br>24366|<br>26683|<br>27571|<br>27838|<br>27844|<br>27823|<br>27819|
|25-29|16310|<br>22679|<br>27392|<br>27774|<br>27801|<br>27743|<br>27731|<br>27741|
|30-34|13730|<br>20433|<br>27764|<br>27821|<br>27615|<br>27598|<br>27636|<br>27665|
|35-39|11048|<br>18282|<br>26964|<br>27278|<br>27289|<br>27454|<br>27556|<br>27594|
|40-44|9035|<br>15201|<br>25296|<br>26234|<br>26972|<br>27339|<br>27466|<br>27496|
|45-49|7642|<br>12676|<br>22918|<br>25746|<br>26830|<br>27223|<br>27312|<br>27330|
|50-54|6451|<br>9978|<br>20914|<br>26031|<br>26718|<br>26933|<br>26991|<br>27034|
|55-59|5494|<br>7842|<br>18168|<br>25698|<br>26227|<br>26321|<br>26478|<br>26596|
|60-64|4348|<br>6208|<br>15281|<br>23939|<br>24924|<br>25368|<br>25779|<br>25995|
|65-69|3229|<br>4720|<br>11483|<br>21005|<br>22826|<br>24108|<br>24818|<br>25107|
|70-74|2393|<br>3409|<br>8157|<br>17084|<br>20692|<br>22501|<br>23394|<br>23724|
|75+|2612|<br>3470|<br>8682|<br>25496|<br>42120|<br>48574|<br>52578|<br>54588|
|TOTAL|199595|<br>260686|<br>351001|<br>412929|<br>439291|<br>450521|<br>45710|7<br>460235|
|FEMALES|||||||||
|0-4|26578|27125|<br>26934|<br>26757|<br>26644|<br>26604|<br>26601|<br>26603|
|5-9|24481|<br>27603|<br>27112|<br>26677|<br>26578|<br>26577|<br>26588|<br>26592|
|10-14|23134|<br>27069|<br>26760|<br>26489|<br>26532|<br>26579|<br>26594|<br>26593|
|15-19|21181|<br>25885|<br>25964|<br>26356|<br>26549|<br>26600|<br>26598|<br>26590|
|20-24|19287|<br>23947|<br>25794|<br>26463|<br>26623|<br>26614|<br>26586|<br>26579|
|25-29|16289|<br>22479|<br>26624|<br>26779|<br>26674|<br>26585|<br>26559|<br>26563|
|30-34|13825|<br>20403|<br>27136|<br>26934|<br>26577|<br>26510|<br>26527|<br>26547|
|35-39|11161|<br>18510|<br>26512|<br>26524|<br>26348|<br>26434|<br>26508|<br>26535|
|40-44|9176|<br>15608|<br>25201|<br>25654|<br>26157|<br>26410|<br>26499|<br>26514|
|45-49|7840|<br>13200|<br>23156|<br>25370|<br>26181|<br>26426|<br>26471|<br>26467|
|50-54|6709|<br>10557|<br>21536|<br>25989|<br>26356|<br>26383|<br>26372|<br>26383|
|55-59|5784|<br>8523|<br>19236|<br>26182|<br>26300|<br>26144|<br>26193|<br>26263|
|60-64|4690|<br>7045|<br>17002|<br>25149|<br>25600|<br>25714|<br>25968|<br>26119|
|65-69|3602|<br>5679|<br>13714|<br>23274|<br>24328|<br>25227|<br>25725|<br>25927|
|70-74|2790|<br>4390|<br>10733|<br>20438|<br>23359|<br>24757|<br>25377|<br>25594|
|75+|3323|<br>5325|<br>14934|<br>40617|<br>63650|<br>71873|<br>76747|<br>79291|
|TOTAL|199850|263347|358349|425652|<br>454457|<br>465436|<br>471913|<br>475158|
|BIRTH RATE||25.6|18.1|14.1|12.6|12.1|11.8|11.7|
|DEATH RATE||6.6|5.9|7.4|10.0|11.1|11.3|11.5|
|NET MIGRAT|ION<br>RATE|-1.0|-.2|.0|.0|.0|.0|.0|
|GROUTH RAT|E|1.81|1.21|.67|.25|.10|.06|.03|
|TOTAL FERT|ILITY|3.096|2.224|2.076|2.064|2.061|2.058|2.058|
|etO)- BOTH|SEXES|68.49|73.99|79.14|82.25|83.95|85.24|85.75|
|IMR- BOTH|SEXES|46.2|22.4|6.1|3.3|2.6|2.2|2.1|
20 WORLD, GEOGRAPHIC REGIONS, AND INCOME GROUPS

# NORTHERN AMERICA

|NORTHE|RN AM|ERICA|||||Pop|ulation Pr|ojectfon|(thousands)|
|---|---|---|---|---|---|---|---|---|---|---|
|AGE GROUP|<br>1985|1990|<br>199|5<br>2000|2005|2010|2015|2020|<br>202|5<br>2030|
|TOTAL M4F|267936|280148|<br>29359|7<br>305843|<br>316761|326556|335745|344484|<br>35197|5<br>357517|
|MALES|||||||||||
|0-4|10320|10775|<br>1127|4<br>10878|10653|10725|10979|11189|<br>1121|2<br>11118|
|5-9|9685|10446|<br>1090|9<br>11396|10974|10722|10767|11006|<br>1119|8<br>11201|
|10-14|9868|9778|1054|7<br>11002|11469|11028|10756|10792|<br>1101|7<br>11195|
|15-19|10670|9951|9870|<br>10630|11066|11512|11053|10773|<br>1079|5<br>11007|
|20-24|12058|10835|<br>1012|9<br>10029|10751|11146|11554|11076|<br>1077|0<br>10766|
|25-29|12277|12278|<br>1107|2<br>10340|10194|10859|11202|11579|<br>1106|7<br>10726|
|30-34|11329|12454|<br>1246|5<br>11243|10475|10284|10903|11220|<br>1156|5<br>11025|
|35-39|9882|11433|<br>1256|3<br>12561|11320|10523|10301|10900|<br>1119|4<br>11516|
|40-44|7785|9905|11455|<br>12572|12559|11305|10494|10264|<br>1084|5<br>11123|
|45-49|6410|7729|<br>9832|<br>11367|12472|12452|11207|10404|<br>1017|3<br>10745|
|50-54|5977|6267|7571|<br>9640|11157|12243|12229|11015|<br>1023|2<br>10009|
|55-59|6035|5724|6030|<br>7309|9334|10817|11887|11894|<br>1073|C<br>9983|
|60-64|5707|5616|5368|<br>5693|6942|8892|10338|11398|<br>1144|1<br>10355|
|65-69|4712|5085|5063|<br>4892|5241|6427|8278|9678|<br>1073|2<br>10834|
|70-74|3581|3907|4297|<br>4353|4275|4623|5723|7442|<br>8782|<br>9830|
|75+|4508|4817|5455|<br>6286|6948|7322|7887|9259|1172|3<br>14596|
|TOTAL|130803|137001|<br>143899|<br>150190|155829|160881|165558|169889|<br>17347|5<br>176029|
|FEMALES|||||||||||
|0-4|9839|10248|10721|<br>10341|10124|10190|10429|10627|<br>1064|6<br>10554|
|5-9|9236|9974|10391|<br>10850|10445|10199|10238|10461|<br>1063|9<br>10639|
|10-14|9384|9334|10080|<br>10489|10928|10502|10237|10265|<br>1047|3<br>10638|
|15-19|10242|9489|9451|<br>10189|10575|10990|10542|10265|<br>1027|7<br>10470|
|20-24|11829|10441|9709|<br>9657|10352|10693|11066|10595|<br>1028|8<br>10269|
|25-29|12170|12060|10697|<br>9950|9849|10490|10781|11125|<br>1061|9<br>10276|
|30-34|11372|12335|12243|<br>10873|10090|9949|10551|10820|<br>1113|6<br>10603|
|35-39|10072|11464|12439|<br>12342|10952|10145|9979|10567|<br>10818|<br>11116|
|40-44|8045|10095|11491|<br>12461|12355|10958|10141|9970|10547|<br>10790|
|45-49|6703|8016|10059|<br>11450|12415|12307|10915|10103|9931|<br>10505|
|50-54|6361|6633|7939|<br>9968|11353|12312|12209|10833|10032|<br>9865|
|55-59|6644|6242|6521|<br>7817|9828|11202|12159|12069|10719|<br>9934|
|60-64|6541|6445|6073|<br>6364|7649|9632|10996|11955|11886|<br>10574|
|65-69|5712|6222|6163|<br>5839|6149|7411|9358|10714|11682|<br>11649|
|70-74|4805|5234|5757|<br>5757|5503|5824|7056|8955|10305|<br>11293|
|75+<br>|8177<br>|8913<br>|9966<br>|<br>11304<br> <br>|12364<br>|12870<br>|13531<br>|15271<br>|18501<br>|<br>22311<br> <br>|
|TOTAL|137133|143147|149698|<br>155653|160932|165675|170186|174595|17850|<br>181487|
|BIRTH RATE|<br>1|5.4|15.4|14.2<br>|13.4<br>|13.0<br>|13.0<br>|12.9|12.6|12.3|
|DEATH RATE|<br>|8.8|8.3|8.0|7.9|8.1|8.1|8.2|8.5|9.1|
|RATE OF NAT|. INC.|.66|.71|.62|.55|.50|.48|.46|.41|.31|
|NET MIGRAT|ION<br>RATE<br>|2.3|2.3|2.0|1.6|1.1|.7|.5|.2|.0|
|<br>GROWTH<br>RATE|<br> <br> <br>|<br>.89|<br>.94|<br>.82|<br>.70|<br>.61|<br>.56|<br>.51|<br>.43|.31|
|TOTAL FERTI|LITY<br>1.|867<br>1|.988<br>|1.998<br>2|.009<br>2.|020<br>2.|031<br>2.|042<br>2|.053|2.063|
|NRR|.|893|.951|.958<br>|.965<br>.|972<br>.|978<br>.|985|.991|.998|
|e(O) - BOT|H SEXES 75|.68<br>7|6.74<br>|77.82<br>7|8.83<br>7|9.49<br>80|.16<br>8|0.86<br>8|1.59|82.34|
|et15) - BOT|H SEXES 61|.79<br>6|2.75<br>|63.71<br>6|4.63<br>65|.21<br>65|.80<br>6|6.42<br>6|7.06|67.72|
|IMR - BOTH S<br>|EXES<br>1<br>|0.1<br>|8.9|7.6|6.6|5.9|5.2|4.5|3.8|3.1|
|qtS) - BOTH<br>|SEXES .0<br>|126<br>.<br>|0112<br> <br>|.0097<br>.0<br>|085<br>.0<br>|077<br>.0<br>|069<br>.0<br>|061<br>.<br>|0052<br>|.0044<br>|
|DEP. RATIO|50.4|51.1|52.1|51.1|49.6|49.3|52.3|57.4|63.7|68.9|
WORLD, GEOGRAPHIC REGIONS, AND INCOME GROUPS 21 Sumury Projection for 25-Year Periods

# NORTHERN AMERICA

|AGE GROUP|1985|2000|2025|2050|207h|2100|2125|2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL**M+F**|267936|305843|351975|362420|366135|369267|371524|372717|
|MALES|||||||||
|0-4|10320|10878|11212|11126|11088|11082|11084|11086<br>|
|5-9|9685|11396|11198|11071|11061|11072|11078|11079|
|10-14|9868|11002|11017|11010|11056|11076|11079|11078|
|15-19|10670|10630|10795|<br>11007|11072|11079|11074|11071|
|20-24|12058|10029|10770|11072|11082|11063|11053|11052|
|25-29|12277|10340|11067|11125|11052|11021|11020|11024|
|30-34|11329|11243|11565|11081|10971|10971|10988|10996|
|35-39|9882|12561|11194|10861|10876|10935|10963|10971|
|40-44|7785|12572|10845|10591|10831|10913|10932|10933|
|45-49|6410|11367|10173|10505|10842|10876|10872|10870|
|50-54|5977|9640|10232|10683|10797|10760|10751|10759|
|55-59|6035|7309|10730|10962|10590|10538|10569|10600|
|60-64|5707|5693|11441|10319|10139|10230|10332|10381|
|65-69|4712|4892|10732|9577|9530|<br>9857|9999|10049|
|70-74|3581|4353|8782|8378|8907|9351|9480|9525|
|75+|4508|6286|11723|18926|20515|21257|21920|22326|
|TOTAL|130803|150190|173475|178293|180409|182082|183196|183799|
|FEMALES|||||||||
|0-4|9839|10341|10646|10563|10526|10520|10522|10523|
|5-9|9236|10850|10639|10513|10504|10513|10518|10519|
|10-14|9384|10489|10473|10455|10500|10518|10520|10519|
|15-19|10242|10189|10277|10459|10520|10526|10521|10517|
|20-24|11829|9657|10288|10538|10546|10525|10515|10513|
|25-29|12170|9950|10619|10619|10542|10509|10505|10508|
|30-34|11372|10873|11136|10606|10489|10485|10498|10504|
|35-39|10072|12342|10818|10426|10421|10473|10496|10501|
|40-44|8045|12461|10547|10211|10410|10482|10495|10492|
|45-49|6703|11450|9931|10195|10469|10492|10481|10475|
|50-54|6361|9968|10032|10477|10516|10463|10443|10446|
|55-59|6644|7817|10719|10914|10452|10371|10387|10409|
|60-64|6541|6364|11886|10500|10204|10248|10329|10365|
|65-69|5712|5839|11682|10091|9891|10155|10269|10302|
|70-74|4805|5757|10305|9277|9705|10076|10165|10186|
|75+|8177|11304|18501|28282|30032|30829|31664<br>|32137<br>|
|TOTAL|137133|155653|178500|184127|185726|187185|188327|188918|
|BIRTH RATE||15.0|13.0|12.0|11.9|11.8|11.7|11.6|
|DEATH RATE||8.3|8.2|10.9|11.5|11.5|11.5|11.5|
|NET MIGRATI|ON<br>RATE|2.2|.8|.0|.0|.0|.0|.0|
|GROWTH<br>RATE||.88|.56|.12|.04|.03|.02|.01|
|TOTAL FERTI|LITY|1.958|2.031|2.066|2.064|2.063<br>|2.062<br>|2.061<br>|
|**e(O)**<br>**-** BOTH|SEXES|76.78|80.23|83.10|84.56|85.36|85.94|86.18|
|**IMR-** BOTH S|EXES|8.9|5.2|2.8|2.4|2.1|2.0|1.9|
22 WORLD, GEOGRAPHIC REGIONS, AND INCOME GROUPS

# ASIA **TOTAL**

Population Projection (thousands)

|AGE GROlP|<br>1985|<br>1990|<br>1995|<br>2000|<br>2005|<br>2010|<br>2015|<br>202|0<br>2025|<br>2030|
|---|---|---|---|---|---|---|---|---|---|---|
|TOTAL**M+F**|2823497|310285|0 3383003|3650279|3908882|4158824|4403459|464712|7 488483|0 5108974|
|MALES|||||||||||
|0-4|175999|<br>194785|<br>198645|<br>195373|<br>194025|<br>194521|<br>197011|<br>20204|7<br>20489|2<br>204712|
|5-9|161524|<br>171M|191150|<br>195441|<br>192755|<br>191731|<br>192568|<br>19541|1<br>20078|3<br>203965|
|10-14|168685|<br>160336|<br>170865|<br>190063|<br>194484|<br>191912|<br>190990|<br>19193|5<br>19489|3<br>200377|
|15-19|160323|<br>167439|<br>159203|<br>169731|<br>188977|<br>193476|<br>191013|<br>19019|1<br>19123|9<br>194303|
|20-24|138554|<br>158660|<br>165800|<br>157667|<br>168211|<br>187477|<br>192077|<br>18976|0<br>18907|1<br>190253|
|25-29|116793|<br>136846|<br>156885|<br>164028|<br>156029|<br>166573|<br>185864|<br>19058|1<br>18843|1<br>187894|
|30-34|107011|<br>115244|<br>135212|<br>155190|<br>162347|<br>154474|<br>165032|<br>18436|3<br>18920|6<br>187228|
|35-39|84183|<br>105434|<br>113627|<br>133499|<br>153417|<br>160590|<br>152862|<br>16344|3<br>18281|7<br>187801|
|40-44|69176|<br>82583|<br>103583|<br>111727|<br>131473|<br>151271|<br>158464|<br>15092|0<br>16152|0<br>180921|
|45-49|62905|<br>67295|<br>80513|<br>101173|<br>109240|<br>128756|<br>148375|<br>15559|3<br>14829|6<br>158899|
|50-54|56174|<br>60371|<br>64717|<br>77655|<br>97797|<br>105708|<br>124868|<br>14419|7<br>15143|3<br>144483|
|55-59|47198|<br>52784|<br>56859|<br>61148|<br>73678|<br>93037|<br>100729|<br>11936|9<br>13827|2<br>145520|
|60-64|36259|<br>42906|<br>48187|<br>52124|<br>56358|<br>68262|<br>86535|<br>93919|<br>11183|0<br>130133|
|65-69|26551|<br>31322|<br>37303|<br>42207|<br>45986|<br>50032|<br>61065|<br>7785|6<br>84804|<br>101688|
|70-74|18365|<br>21126|<br>25166|<br>30311|<br>34739|<br>38177|<br>41929|<br>51765|<br>66568|<br>72894|
|75+|16418|<br>20674|<br>24875|<br>30232|<br>37442|<br>45166|<br>52464|<br>59793|<br>72265|<br>92247|
|TOTAL|1446117|1589805|1732591|1867571|1996959|2121163|2241844|236114|4 247631|9 2583318|
|FEMALES|||||||||||
|0-4|166265|<br>186539|<br>190653|<br>187939|<br>186759|<br>186949|<br>189031|<br>19354|8<br>19595|7<br>195466|
|5-9|151547|<br>162388|<br>183099|<br>187851|<br>185784|<br>184857|<br>185324|<br>18769|4<br>19248|6<br>195176|
|10-14|158346|<br>150394|<br>161309|<br>182133|<br>187054|<br>185080|<br>184241|<br>18480|5<br>18727|8<br>192170|
|<br>15-19|<br>151120|<br> <br> <br>157097|<br> <br> <br>149318|<br> <br> <br>160280|<br> <br> <br>181216|<br> <br> <br>186221|<br> <br> <br>184357|<br> <br> <br>18362|<br> <br>4<br>18430|<br><br>2<br>186895|
|20-24|130806|<br>149434|<br>155584|<br>147967|<br>159020|<br>180020|<br>185158|<br>18346|3<br>18289|3<br>183746|
|25-29|109717|<br>128937|<br>147673|<br>153935|<br>146549|<br>157639|<br>178731|<br>18404|4<br>18256|5<br>182206|
|30-34|100319|<br>107916|<br>127172|<br>145943|<br>152377|<br>145145|<br>156287|<br>17748|7<br>182998|<br>181755|
|35-39|78819|98530|<br>106184|<br>125414|<br>144254|<br>150763|<br>143710|<br>15492|1<br>176239|<br>181969|
|40-44|65120|77151|<br>96708|<br>104388|<br>123592|<br>142389|<br>148987|<br>14214|5<br>153435|<br>174870|
|45-49|59265|63383|<br>75330|<br>94668|<br>102372|<br>121431|<br>140157|<br>14685|8<br>140271|<br>151639|
|50-54|53226|57152|<br>61297|<br>73116|<br>92162|<br>99812|<br>118670|<br>13729|2<br>144122|<br>137859|
|55-59|45160|50561|<br>54470|<br>58651|<br>70303|<br>88883|<br>96473|<br>11507|4<br>133569|<br>140581|
|60-64|36503|41805|<br>47046|<br>50s38|<br>55177|<br>66516|<br>84477|<br>92009|<br>110291|<br>128657|
|65-69|28192|32330|<br>37293|<br>4230?|<br>46194|<br>50412|<br>61321|<br>78451|<br>85930|<br>103822|
|70-74|20725|23158|<br>26858|<br>31324|<br>36027|39783|<br>43941|54223|<br>70190|<br>77580|
|75+<br>|22248<br>|26272<br>|<br>30417<br>|<br>35858<br>|<br>43081<br>|51760<br>|<br>60750<br>|70345<br>|<br>85986<br>|<br>111263<br>|
|TOTAL|1377380|1513045|1650411|1713270|8 1911924|2037661|2161615|2285983|2408511|2525656|
|BIRTH RATE||28.0|25.9|23.3|21.3|19.9|18.8|18.1|17.3|16.4|
|DEATH RATE||9.0|8.5|8.0|7.5|7.4|7.3|7.3|7.3|7.4|
|RATE OF MA|T. INC.|1.90|1.74|1.53|1.38|1.25|1.15|1.08|1.00|.90|
|NET MIGRAT|ION<br>RATE|-.1|-.1|-.1|-.1|-.0|-.0|-.0|-.0|.0|
|GROWTH RAT|E|1.89|1.73|1.52|1.37|1.24|1.14|1.08|1.00|.90|
|TOTAL FERT|ILITY<br>3|.479<br>|3.162<br>|2.868<br>|2.690<br>|2.541<br>|2.412<br>|2.344|2.295|2.246|
|NRR|1|.478|1.355<br>|1.248<br>|1.200<br>|1.152<br>|1.102<br>|1.082|1.071|1.060|
|eCO)**-**BOT|H SEXES6|3.78<br>|65.13<br>|66.65<br>|68.23<br>|69.39<br>|70.62<br>|71.92|73.29|74.74|
|e15) - BOT|H SEXES5|5.02<br>|55.69<br>|56.49<br>|57.36<br>|58.08<br>|58.85<br>|59.66|60.52|61.42|
|**IMR**- BOTH<br>|SEXES<br>|70.4<br> <br>|62.7<br> <br>|55.1<br> <br>|47.9<br> <br>|42.4<br> <br>|36.3<br> <br>|30.3<br>|24.3<br>|18.4<br>|
|qt5) - BOT|H SEXES .|0945<br>|.0834<br>|.0725<br>|.0621<br>.|0549<br>|.0470<br>.|0390|.0312|.0233|
|<br>DEP. RATIO|<br>65.2|61.5|60.7|58.8|54.8|51.3|49.6|49.9|50.6|52.2|
WORLD, GEOGRAPHIC REGIONS, AND INCOME GROUPS 23 Sumary Projection for 25-Year Periods

**ASIA** TOTAL

|AGEGROUP|1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTALM+F|2823497|<br>3650279|<br>4884830|<br>5811163|<br>6318546|<br>6596353|<br>6747477|<br>6817277|
|MALES|||||||||
|0-4|175999|<br>195373|<br>204892|<br>205731|<br>204948<br>|<br>204489<br> <br>|<br>204434<br> <br>|<br>204414<br> <br>|
|5-9|161524|<br>195441|<br>200783|<br>204735|<br>204406|<br>204248|<br>204288|<br>204283|
|10-14|168685|<br>190063|<br>194893|<br>203469|<br>203930|<br>204245|<br>204309|<br>204277|
|15-19|160323|<br>169731|<br>191239|<br>202781|<br>203867|<br>204277|<br>204227|<br>204161|
|20-24|138554|<br>157667|<br>189071|<br>202382|<br>204111|<br>204021|<br>203814|<br>203791|
|25-29|116793|<br>164028|<br>188431|<br>201258|<br>203529|<br>203279|<br>203162|<br>203219|
|30-34|107011|<br>155190|<br>189206|<br>196885|<br>201967|<br>202239|<br>202468|<br>202652|
|35-39|84183|<br>133499|<br>182817|<br>190154|<br>199858|<br>201052|<br>201856|<br>202113|
|40-44|69176|<br>111727|<br>161520|<br>185353|<br>198112|<br>200110|<br>201136|<br>201357|
|45-49|62905|<br>101173|<br>148296|<br>181629|<br>196346|<br>199259|<br>199942|<br>200093|
|50-54|56174|<br>77655|<br>151433|<br>178086|<br>192774|<br>196687|<br>197510|<br>197901|
|55-59|47198|<br>61148|<br>138272|<br>173776|<br>184430|<br>191783|<br>193632|<br>194619|
|60-64|36259|<br>52124|<br>111830|<br>160329|<br>171957|<br>184690|<br>188198|<br>190086|
|65-69|26551|<br>42207|84804|<br>131130|<br>158516|<br>175425|<br>180802|<br>183368|
|70-74|18365|<br>30311|<br>66568|<br>107478|<br>142136|<br>162282|<br>170006|<br>172947|
|75+|16418|<br>30232|72265|<br>185620|<br>270321|<br>330795|<br>374830|<br>394054|
|TOTAL|1446117|<br>1867571|<br>2476319|<br>2910796|<br>3141208|<br>3268880|<br>3334616|<br>3363337|
|FEMALES|||||||||
|0-4|166265|<br>187939|<br>195957|<br>196040|<br>195229|<br>194829|<br>194793|<br>194785|
|5-9|151547|<br>187851|<br>192486|<br>195237|<br>194745|<br>194632|<br>194694|<br>194701|
|10-14|158346|<br>182133|<br>187278|<br>194171|<br>194303|<br>194637|<br>194726|<br>194708|
|15-19|151120|<br>160280|<br>184302|<br>193787|<br>194353|<br>194757|<br>194735|<br>194683|
|20-24|130806|<br>147967|<br>182893|<br>193926|<br>194925|<br>194807|<br>194618|<br>194594|
|25-29|109717|<br>153935|<br>182565|<br>193724|<br>194973|<br>194559|<br>194422|<br>194463|
|30-34|100319|<br>145943|<br>182998|<br>190304|<br>194032|<br>193988|<br>194162|<br>194331|
|35-39|78819|125414|<br>176239|<br>184531|<br>192548|<br>193256|<br>193958|<br>194199|
|40-44|65120|104388|<br>153435|<br>180709|<br>191569|<br>192905|<br>193795|<br>193987|
|45-49|59265|94668|140271|<br>178107|<br>190838|<br>192904|<br>193449|<br>193564|
|50-54|53226|73116|144122|<br>175903|<br>189212|<br>191990|<br>192541|<br>192858|
|55-59|45160|58651|133569|<br>173390|<br>183719|<br>189594|<br>190980|<br>191828|
|60-64|36503|50938|110291|<br>162667|<br>175017|<br>186026|<br>188843|<br>190524|
|65-69|28192|42302|85930|135439|<br>166691|<br>181940|<br>186417|<br>188733|
|70-74|20725|31324|70190|115703|<br>156889|<br>176135|<br>182985|<br>185710|
|75+|22248|35858|85986|236728|<br>368295|<br>460513|<br>527742|<br>56027i|
|TOTAL|1377380|<br>1782708|<br>2408511|<br>2900367|<br>3177338|<br>3327473|<br>3412860|<br>3453939|
|BIRTH RATE||25.6|19.0|15.1|13.2|12.4|12.0|11.8|
|DEATH RATE||8.5|7.4|8.2|9.9|10.7|11.1|11.4|
|**NET**MIGRATI|ON RATE|-.1|-.0|.0|.0|.0|.0|.0|
|GROWTH RATE||1.71|1.17|.69|.33|.17|.09|.04|
|TOTAL FERT|ILITY|3.148|2.447|2.187|2.081|2.067|2.060|2.059|
|eCO)**-** BOTH|SEXES|65.27|70.83|76.59|80.35|82.70|84.58|85.33|
|**IMR-** BOTH|SEXES|62.8|36.2|13.6|5.6|3.6|2.4|2.2|
24 WORLD, GEOGRAPHIC REGIONS, AND INCOME GROUPS

# EAST AND SOUTHEAST ASIA

|EASTA|DSOU|THEAS|ASIA||||Po|pulatlon Pr|oJection|(thousands)|
|---|---|---|---|---|---|---|---|---|---|---|
|AGE GROUP|1985|<br>1990|<br>1995|<br>2000|<br>2005|2010|<br>2015|<br>2020|<br>202|5<br>2030|
|TOTAL**M+F**|165290|71787967|192172|62044169|2154742|2256704|2356015|2453695|254643|9 2630222|
|MALES|||||||||||
|0-4|85291|<br>96439|<br>98110|<br>94404|90219|88713|<br>90386|<br>92745|<br>9345|6<br>92531|
|5-9<br>|84518<br>|<br>84216<br> <br>|<br>95514<br> <br>|<br>97336<br>|<br>93797|89716|<br>88296|<br>90040|<br>9247|3<br>93262|
|10-14<br>|97557<br>|<br>84095<br> <br>|<br>83839<br>|<br>95165|97033|93544|<br>89512|<br>88132|<br>8991|3<br>92383|
|15-19<br>|96882<br>|<br>96991<br> <br>|<br>83630<br> <br>|<br>83418<br>|94771|96675|<br>93238|<br>89258|<br>8792|3<br>89741|
|20-24|83090|<br>96054|<br>96206|<br>82976|82820|94181|<br>96131|<br>92768|<br>8886|1<br>87587|
|25-29|68640|<br>82230|<br>95154|<br>95374|82277|82162|<br>93528|<br>95528|<br>9224|5<br>88420|
|30-34<br>|67017<br>|<br>67867<br> <br>|<br>814C3<br> <br>|<br>94336<br>|94596|81622|<br>81551|<br>92927|<br>9498|1<br>91781|
|35 39<br>|51942|<br>66175<br>|<br>67053<br>|<br>80563|93478|93785|<br>80948|<br>809S1|<br>92322|<br>9444l|
|40-44|42115|<br>51096|<br>65173|<br>66114|<br>79556|92411|<br>92779|<br>80121|<br>8017|3<br>91573|
|45-49|39074|<br>41111|49987|<br>63872|<br>64872|78181|<br>90945|<br>91402|<br>7900|1<br>79147|
|50-54|35223|<br>37671|39727|<br>48459|62040|63086|<br>76181|<br>88793|<br>89375|<br>77350|
|55-59|29828|<br>33308|35715|37815|46331|59436|<br>60559|<br>73351|<br>85753|<br>86525|
|60-64|22792|<br>27335|<br>30684|33066|35245|43404|<br>55864|<br>57113|<br>6950|9<br>81653|
|65-69<br>|16659<br>|<br>19908<br> <br>|<br>24061<br>|27260<br> <br>|29629|31804|<br>39470|<br>51062|<br>52485|<br>64344|
|70-74<br>|11489<br>|<br>13471<br> <br>|16292<br>|<br>19954<br>|22964|25184<br>|<br>27326<br>|<br>34308|<br>44735|<br>46367|
|75+|10345<br>|<br>13350<br> <br>|16469<br>|20466<br>|25954<br>|<br>31708<br>|<br>37035<br>|<br>42078<br>|51110<br>|<br>65837<br>|
|TOTAL|842462|<br>911318|979017|1040579|1095581|1145614|1193749|1240557|128431|3 1322944|
|FEMALES|||||||||||
|0-4|80181|<br>92560|94337|90674|86560|85018|86520|<br>88675|89249|<br>88264|
|5-9<br>1014|79575<br>92143|<br>79325<br> <br>24|91849<br>|93760<br>|90241<br>|86199<br>|84715<br>|<br>86267<br> <br>|88472<br>|<br>89100<br> <br>|
|-<br>||<br>790|79037|91599|93554|90067|86056|<br>84598|86174|<br>88402|
|15-19<br>|92296<br>|91694<br>|78892<br>|78742<br>|91347<br>|93328<br>|89876|85902|84475|<br>86078|
|20-24<br>|79356|91620|91110|78449|78372|90998|93019|89625|85708|<br>84331|
|25-29|65553|78594|90882|90498|77993|77961|90614|92690|89370|<br>85524|
|30-34<br>|63654<br>|64827<br>|77847|90186|89934|77538|<br>77554|<br>90236|92374|<br>89134|
|35-39<br>|48586<br>|62864|64095|77114|89501|89320|77052|77126|89838|<br>92048|
|40-44|39086|47851|62000|63318|76319|88685|88591|76482|76628|<br>89369|
|45-49<br>|36200<br>|38291<br>|46975|60978<br>|62385|75296|87627|87649|75755|<br>75996|
|50-54<br>|33z39<br>|35157<br>|37270|<br>45862|59664|61138|73928|<br>86215|86401|<br>74802|
|55-59<br>|28539<br>|31867<br>|33788|35950|44422|57910|59485|72129|84375|<br>84798|
|60-64<br>|23590<br>|26774|30013|31962|34205|42469|55546|57280|<br>69758|<br>81993|
|65-69<br>|18487<br>|21318<br>|24321<br>|27454|29487|31792|39779|52318|54307|<br>66616|
|70-74<br>|13915<br>|15642<br>|18194<br>|20957<br>|23995<br>|26064<br>|28449<br>|36051<br>|47862|<br>50226|
|75+<br>|16045<br>|19023<br>|22100<br>|26086<br>|31180<br>|37308<br>|43453<br>|49893<br>|61381<br>|<br>80598<br>|
|TOTAL|810445|876649|942709|1003590|1059161|1111089|1162265|1213138|1262125|1307278|
|BIRTH RATE||23.0<br>|21.6<br>|19.3<br>|17.3<br>1|6.1|15.7|15.3|14.8|14.1|
|DEATH RATE<br>||7.2|7.0|6.8|6.7|6.8|7.0|7.2|7.4|7.6|
|RATE**OF**NAT<br>|.INC.<br> <br>|1.58<br> <br>|1.46<br> <br>|1.25<br> <br>|1.06<br>|.93<br>|.87<br>|.82<br>|.74<br>|.65|
|**NET**MIGRAT|ON<br>RATE|-. 1|**-. 1**|-. 1|-. 1|-. 1|-. 0|-. 0|-. 0|.0|
|GROWTH<br>RATE|<br>|1.57<br>|1.44<br>|1.24<br>|1.05|.92|.86|<br>.81|<br>.74|.65|
|TOTAL FERTI|LITY2|.716<br>2|.489<br>2|.289<br>2.|182<br>2.|131<br>2|.108<br>2|.100<br>2|.093<br>|2.086|
|NRR|1|.241<br>1|.142<br>1|.057<br>1.|019<br>1.|002|.996|**.998**|.999<br>|1.001|
|**etO)**- BOTH<br>|SEXES6<br>|8.20<br>6<br>|9.46<br>7|0.81<br>7|2.24<br>7|3.26<br>7|4.34<br>7|5.48<br>7|6.68<br>|77.96|
|e(IS)- BOT|H SEXES5<br>|6.93<br>5<br> <br>|7.61<br>5<br>|8.47<br>59|.46<br>60|.23<br>6|1.04<br>6|1.91<br>6|2.83<br>|63.82|
|IMR- BOTH S<br>|EXES<br> <br>|39.9<br> <br> <br>|4.0<br> <br> <br>|28.3<br>2<br> <br>|3.2<br>2<br> <br>|0.3<br>|17.3<br>|14.2<br>|11.1|8.1|
|q(5) - BOTH<br> <br>|SEXES.<br>|0515<br>.0<br>|432<br>.0<br>|357<br>.0<br>|290<br>.0<br>|254<br>.<br>|0217<br>.<br>|0179<br>.<br>|0141<br>.|0103|
|**DEP.**<br>RATIO|57.9|52.9|52.8|52.7|49.6|46.6|45.9|48.0|50.2|53.6|
WORLD, GEOGRAPHIC REGIONS, AND INCOME GROUPS 25 Summary Projection for 25-Year Perfods

# EAST AND SOUTHEAST ASIA

|AGE GROUP|<br>1985|<br>2000|2025|2050|2075|2100|2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL M+F|1652907|<br>2044169|2546439|2840284|2950043|<br>3012583|3053635|<br>3074496|
|MALES|||||||||
|0-4<br>|85291<br>|94404<br>|93456<br>|92186<br>|91751<br>|<br>91684<br>|91713<br>|<br>91722<br> <br>|
|5-9|84518|97336|92473|91437|91490|91617|91670|<br>91668|
|10-14|97557|<br>95165|<br>89913|90799|91506|91692|91691|<br>91661|
|15-19|96882|83418|87923|9099|<br>91753|91741|<br>91640|<br>91599|
|20-24|83090|82976|88861|<br>91896|91855|91561|<br>91431|<br>91431|
|25-29|68640|95374|92245|<br>92357|91419|<br>91118|<br>91129|<br>91191|
|30-34|67017|94336|94981|91134|90432|90643|90870|90967|
|35-39|51942|80563|92322|88219|89465|90368|90691|90750|
|40-44|42115|66114|80173|85778|89234|90255|90429|90413|
|45-49|39074|63872|79001|86068|89581|<br>89911|<br>89858|89838|
|50-54|35223|<br>48459|89375|88132|89057|88682|88711|88876|
|55-59|29828|37815|85753|8863l|86231|86373|87059|87509|
|60-64|22792|33066|69509|83014|<br>81070|83428|84997|<br>85644|
|65-69|16659|27260|<br>52485|<br>67743|75312|80142|82135|82793|
|70-74|11489|19954|<br>44735|<br>60853|70202|75698|77558|<br>78244|
|75+|10345|20466|51110|<br>125605|<br>150242|<br>163782|174706|180741|
|TOTAL|842462|1040579|1284313|1414848|1460600|148869|5<br>1506287|1515046|
|FEMALES|||||||||
|0-4|80181|90674|89249|87868|87447|87395|<br>87427|87438|
|5-9|79575|93760|88472|<br>87191|87213|87347|87404|87405|
|10-14|92143|91599|86174|86613|87233|87424|87431|87405|
|15-19|92296|78742|84475|86878|87512|87509|87422|87384|
|20-24|79356|78449|85708|87919|87750|87463|87343|87341|
|25-29|65553|90498|89370|88712|87567|87238|<br>87242|87296|
|30-34|63654|90186|92374|87870|86834|86972|87177|87265|
|35-39|48586|77114|89838|85393|86110|86887|87177|87229|
|40-44|39086|63318|76628|83437|86169|87021|87158|87135|
|45-49|36200|60978|75755|84239|86907|87058|86969|86938|
|50-54|33239|45862|86401|87103|87198|86546|86504|86640|
|55-59|28539|35950|84375|88872|85625|85320|85878|86277|
|60-64|23590|31962|69758|84778|82155|83893|85279|85853|
|65-69|18487|27454|54307|70024|78734|82887|84650|<br>85206|
|70-74|13915|20957|47862|65836|76953|81837|83424|83983|
|75+<br>|16045|26086|61381|162702|208034|231092|248860|258654|
|TOTAL|810445|1003590|1262125|1425436|<br>1489442|1523888|<br>1547347|1559450|
|BIRTH RATE||21.2|15.8|13.3|12.4|12.1|11.8|11.7|
|DEATH RATE||7.0|7.0|9.0|10.9|11.2|11.3|11.4|
|NET MIGRAT|ION<br>RATE|-.1|-.0|.0|.0|.0|.0|.0|
|GROWTH RATE||1.42|.88|.44|.15|.08|.05|.03|
|TOTAL FERT|ILITY|2.481|2.122|2.078|2.066|2.061|2.059|2.058|
|etO)**-** BOTH|SEXES|69.55|74.50|79.39|82.26|83.94|85.23|85.74|
|**IMR**<br>**-** BOTH S|EXES|34.1|17.2|6.3|3.4|2.7|2.2|2.0|
26 WORLD, OEOORAPHIC REGIONS, AND INCOME OROUPS SOUTH ASIA

|SOUTH|SIA||||||Pop|ulation<br>Pr|ojection|(thousands)|
|---|---|---|---|---|---|---|---|---|---|---|
|AGE GROUP|1985|1990|<br>199s|<br>2000|2005|2010|2015|<br>2020|<br>202|5<br>2030|
|TOTAL<br>M+F|1055231|1182312|130821|1 1431722|1557371|1682379|1803830|1925280|204581|5 2162486|
|MALES|||||||||||
|0-4|81638|87792|<br>88533|<br>88072|90176|91573|<br>91625|<br>93668|<br>9554|5<br>96306|
|5-9|69157|7889|85222|<br>86272|86215|88532|90174|<br>90493|<br>9278|2<br>94897|
|10-14|64081|68443|<br>78160|<br>84530|85665|85672|88042|<br>89749|<br>9014|2<br>92500|
|15-19|57248|63453|<br>67797|<br>77492|83888|85070|85136|<br>87553|<br>8931|6<br>89774|
|20-24|50031|56473|<br>62607|<br>66965|76629|83049|84296|<br>84437|<br>8691|3<br>88745|
|25-29|43374|49243|<br>55588|<br>61716|66084|75719|82174|<br>83494|<br>8372|2<br>86266|
|30-34|35985|42653|48435|<br>54761|60870|65252|74865|<br>81357|<br>8275|4<br>83069|
|35-39|29008|35305|41864|<br>47618|53909|59998|64393|<br>73978|<br>80503|<br>81977|
|40-44|2449|28316|<br>34494|<br>40970|46675|52915|58972|<br>63374|<br>n912|<br>79462|
|45-49|21607|23695|27421|<br>33470|39821|45444|51605|<br>57604|<br>62001|<br>71453|
|50-54|18931|20569|<br>22593|<br>26201|32052|38218|43714|<br>49749|<br>55652|<br>60026|
|55-59|15744|17580|<br>19140|<br>21071|24508|30077|35970|<br>41267|<br>47103|<br>52844|
|60-64|12328|14093|<br>15777|<br>17224|19031|22231|27392|<br>32885|<br>37874|<br>43390|
|65-69|9158|10427|<br>11964|<br>13440|14744|16383|19249|<br>23845|<br>28m|33309|
|70-74|6267|7070|8089|<br>9325|10544|11661|13063|<br>15476|<br>1931|9<br>23481|
|75+|5471|6622|7686|<br>8885|10319|11976|13688|<br>15659|<br>1854|6<br>23016|
|TOTAL|544526|610632|675368|<br>738012|801128|863770|924357|<br>984589|<br>104385|6 1100517|
|FEMALES|||||||||||
|0-4|m54|83843|84802|<br>84903|87146|88316|88177|<br>8949|<br>91554|<br>92078|
|5-9|64386|7439|81232|<br>82723|83312|85731|87109|<br>8719|89181|<br>90996|
|10-14|59404|63610|73618|<br>80554|82169|82821|85296|<br>86742|<br>86908|<br>88962|
|15-19|52953|58649|62892|<br>72921|79928|81605|82331|<br>84873|<br>86400|<br>86652|
|20-24|46302|52000|57715|<br>62031|72079|79134|80905|<br>81741|<br>84386|<br>86030|
|25-29|39958|45256|50965|<br>56729|61119|71162|78287|<br>80180|81154|<br>83931|
|30-34|33146|38939|44241|<br>49981|55786|60224|70273|<br>77479|<br>79506|<br>80632|
|35-39|27356|32198|37954|<br>43269|49029|54842|59333|<br>69394|76689|<br>78862|
|<br>40-44|<br>23655|<br>26474|<br>31272|<br> <br> <br>36987|<br>42300|<br>48042|<br>53861|<br> <br> <br>58405|<br> <br>68473|<br><br> <br>75858|
|45-49|20927|22766|25575|<br>30313|35966|41234|46944|52754|57341|<br>67394|
|50-54|18127|19921|21761|<br>24544|29197|34737|39936|45591|51373|<br>55991|
|55-59|15037|16913|18687|<br>20518|23261|27770|33161|38264|43840|<br>49576|
|60-64|11797|13545|15355|<br>17090|18899|21549|25865|31051|36023|<br>41489|
|65-69|8887|10007|11622|<br>13316|14973|16704|19216|<br>23258|28155|<br>32932|
|70-74|6126|6830|7813|<br>9209|10703|12199|13795|<br>16090|<br>19726|<br>24183|
|75+<br>|5391<br>|6331<br>|7340<br>|<br>8622<br> <br>|10376<br>|12538<br>|14983<br>|<br>17720<br>|21252<br>|<br>26402<br>|
|TOTAL|510706|571680|632843|<br>693710|756243|818609|879472|940691|100195|1061969|
|BIRTH RATE|<br>3|4.7|31.1|27.8<br>|25.8<br>|23.9<br>|22.0|20.8|19.7|18.5|
|DEATH RATE|<br> <br>1|<br>1.8|<br>10.7|<br> <br>9.7|<br> <br>8.9|<br> <br>8.4|<br>8.0|<br>7.7|<br>7.5|7.4|
|RATE OF NAT|. INC.<br>2|.29<br>|2.04|1.81<br>|1.69<br>|1.55<br>|1.40|1.31|1.22|1.11|
|NET MIGRAT|ON<br>RATE|- 1|- 2|-1|- 1|- 1|- 0|- 0|- 0|0|
|<br>GROWTH<br>RATE|<br> <br> <br>2|.<br>.27<br>|.<br>2.02|.<br>1.80<br>|.<br>1.68<br>|.<br>1.54<br>|.<br>1.39|.<br>1.30|.<br>1.21|.<br>1.11|
|TOTAL FERTI|LITY4.|638<br>4|.127<br>|3.615<br>3.|264<br>2.|942<br>2.|662<br>|2.527<br>2|.445|2.365|
|NRR|1.|806<br>1|.650|1.492<br>1|.386<br>1.|269<br>1|.169<br>|1.133<br>|1.116|1.097|
|oCO)- BOTH|SEXES 56|.95<br>5|8.68<br>|60.55<br>6|2.54<br>6|4.06<br>65|.64<br>6|7.28<br>6|8.98|70.75|
|eS15) - BOT|H SEXES52|.01<br>5|2.79<br>|53.54<br>5|4.34<br>5|5.11<br>5|5.90<br>5|6.73<br>5|7.58|58.47|
|**IMR**- BOTH S|EXES10|1.6<br>|92.6|82.2<br>7|1.4<br>6|2.9<br>5|4.4|45.6|36.7|27.8|
|q(5)-BOTH|SEXES1|387<br>|1253<br>|1097<br>0|935<br>|0823<br>0|708<br>|0590<br>|0471|0350|
|<br>**DEP.**RATIO|.<br>76.5|<br>.<br>74.4|<br> <br>71.7|.<br>.<br>66.1|<br>.<br>60.4|<br>.<br>56.0|<br>.<br>52.9|<br>.<br>51.0|<br>50.0|.<br>49.8|
WORLD, GEOGRAPHIC REGIONS, AND INCOME GROUPS 27 Summary Projection for 25-Year Perfods

> **SOUTH** ASIA

|AGEGROUP|1985|2000|2025|2050|2075|<br>2100|2125|2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL M+F<br>|1055231|1431722|2045815|2570321|2894368|3076355|3174113|3217262|
|MALES<br>|||<br>||||||
|0-4<br>|81638<br>|88072<br>|<br>95545<br>|97580|97357|97002|96926|96899|
|5-9<br>|69157<br>|86272<br>|92782<br>|97438<br>|97130<br>|96860<br>|96838|96833|
|10-14<br>|64081<br>|84530<br>|90142<br>|97002<br>|96701<br>|96795<br>|96836|96833|
|15-19<br>|57248<br>|77492<br>|89316<br>|96186<br>|96458<br>|96779|96807|96787|
|20-24<br>|50031<br>|66965|86913|94820|96572|96711|96631|96614|
|25-29<br>|43374<br>|61716<br>|83722<br>|93325<br>|96330<br>|96457|96336|96328|
|30-34<br>|35985<br>|54761<br>|82754|90550|95900|95984|95967|96033|
|35-39<br>|29008<br>|47618<br>|80503|87485|95016|95190|95596|95754|
|40-44<br>|24499<br>|40970<br>|72912<br>|86031<br>|93656|94496|95199|95391|
|45-49<br>|21607<br>|33470<br>|62001<br>|82810|91586|94050|94659|94795|
|50-54<br>|18931<br>|26201<br>|55652|78194|88821|92775|<br>93553|93741|
|55-59<br>|15744<br>|21071<br>|47103<br>|74618<br>|83985<br>|90595<br>|91644<br>|92096|
|60-64<br>|12328<br>|17224<br>|37874<br>|68542<br>|77839<br>|87098<br>|88724<br>|89796|
|65-69<br>|9158<br>|13440<br>|2877<br>|56479<br>|71620<br>|81866<br>|84826|86459|
|70-74<br>|6267<br>|9325<br>|19319<br>|41288<br>|61925<br>|74117<br>|79446<br>|81393|
|75+|5471<br>|8885|18546|52502|103349|141976|171534|183176|
|TOTAL<br>|544526|738012|<br>1043856|1294850|1444245|1528752|1571523|1588928|
|FEMALES<br>||<br>|||||||
|0-4|77254|<br>84903|91554|92967|92708|92408|92348|92331|
|5-9<br>|64386<br>|82723<br>|89181<br>|92931<br>|92501|92282|92283|92287|
|10-14<br>|59404<br>|80554<br>|86908<br>|92621|92093|92219|92286|92292|
|15-19<br>|52953<br>|72921<br>|86400<br>|92023<br>|91915|92244|92299|<br>92288|
|20-24<br>|46302<br>|62031<br>|84386<br> <br>|91023<br>|92192<br>|92321|92265|92249|
|25-29<br>|39958<br>|56729<br>|<br>81154<br>|90055<br>|92286<br>|92300<br>|92185|92175|
|30-34<br>|33146<br>|49981<br>|79506<br>|87782<br>|92181<br>|92044<br>|92019|92087|
|35-39<br>|27356<br>|43269<br>|76689|85158|91630|91474|91840|92002|
|40-44<br>|23655<br>|36987|68473|<br>84106|90692|91072|91707|91896|
|45-49<br>|20927<br>|30313<br>|57341<br>|<br>81393|89193|91022|91562|91698|
|50-54<br>|18127<br>|24544|51373|77174|87412|90562|91173|91345|
|55-59<br>|15037<br>|20518<br>|43840<br>|73941<br>|83948|89608|90365|90766|
|60-64|11797<br>|17090<br>|36023|68853|79586|87840|89013|89996|
|65-69<br>|8887<br>|13316<br>|28155|57928|75769|<br>85102|87458|88990|
|70-74<br>|6126<br>|9209<br>|19726<br>|<br>43803<br>|68862<br>|80716<br>|85508|87412|
|75n<br>|5391<br>|8622<br>|21252<br>|63713<br> <br>|137155<br>|194390<br>|238279<br>|258520<br>|
|TOTAL|510706|693710|1001959|<br>1275471|1450123|1547604|1602589|1628334|
|BIRTH RATE<br>||31.0|22.2|16.8|13.9|12.7|_12.1_|11.9|
|DEATH RATE<br>|<br>|10.7<br>|8.1|7.7|9.2|10.3|10.9|11.3|
|NET MIGRAT|ION<br>RATE|-. 1<br>|**-.0 **|.0|**.0**|.0|.0|.0|
|GROWTH RATE||2.03|1.43|.91|.47|.24|.13|.05|
|TOTAL FERTI<br>|LITY<br>|4.087<br>|2.735<br>|2.274|2.096|2.071|2.062|2.060|
|eCO) BOTH S|EXES|58.85|65.93|73.31|78.35|81.48|83.97|84.94|
|IMR**-** BOTH S|EXES|92.2|54.2|20.1|7.4|4.5|2.6|2.3|
28 WORLD, 0EOGRAPHIC REGIONS, AND INCOME GROUPS

# SOUTHWEST ASIA

Population Projection (thousands)

|AGE GROUP|1985|1990|<br>1995|<br>2000|2005|2010|2015|2020|2025|<br>2030|
|---|---|---|---|---|---|---|---|---|---|---|
|TOTAL**H+F**|115359|132571|<br>153065|<br>174389|196770|219742|243615|268153|29257|6<br>316266|
|MALES|||||||||||
|0-4|9070|10554|<br>12001|<br>12897|13631|14234|**150tO**|**(**15634|15892|<br>15874|
|5-9|7849|888|4<br>10415|<br>11833|12744|13483|14098|14878|15528|<br>15805|
|10-14|7046|7798|<br>**8866**|<br>10368|11786|12696|13436|14054|14838|<br>15493|
|15-19|6193|699|6<br>7777|<br>8820|10318|<br>11731|<br>12639|13380|14001|<br>14788|
|20-24|5432|6133|<br>6987|<br>7725|<br>8763|10247|11649|12556|13297|<br>13922|
|25-29|4779|537|2<br>6143|<br>6938|7668|8692|10163|11559|1246|4<br>13208|
|30-34|4010|4724|<br>5375|<br>6094|6881|7600|8616|10079|1147|2<br>12378|
|35-39|3233|3955|<br>4710|<br>5318|6031|6807|7521|8534|999|2<br>11382|
|40-44|2562|3171|<br>3917|<br>4643|5241|5944|6713|7424|8435|<br>9885|
|45-49|2224|2490|<br>3106|<br>3831|4546|5131|5825|6587|7294|<br>8299|
|50-54|2021|2131|<br>2397|<br>2996|3705|4403|4973|<br>5655|6406|<br>7108|
|55-59|1625|1896|<br>2004|<br>2263|2840|3525|4199|<br>4751|5417|<br>6152|
|60-64|1140|147|8<br>172|5<br>1834|2082|2627|3278|3921|441|7<br>5090|
|65-69|734|987|<br>1279|<br>1506|1613|1845|2347|2948|3545|<br>4035|
|70-74|609|584|<br>785|<br>1033|1231|1332|1539|1981|2514|<br>3045|
|**75+**|602|702|<br>720|<br>881|1169|1482|1741|2057|2609|<br>3393|
|TOTAL|59130|67855|<br>78206|<br>88981|100250|111779|123738|135998|148150|<br>159856|
|FEMALES|||||||||||
|0-4|8830|1013|5<br>11514|<br>12361|13053|13615|14333|14924|15155|<br>15123|
|5-9|7587|8663|<br>10018|<br>11369|12232|12928|13499|<br>14229|14833|<br>15081|
|10-14|6799|7543|<br>8654|<br>9980|11331|12193|12889|13464|14196|<br>14806|
|15-19|5871|6754|<br>7534|<br>8616|9941|<br>11289|12150|12849|13427|<br>14165|
|20-24|5149|5814|<br>6759|<br>7487|8569|9888|11233|12096|12799|<br>13385|
|25-29|4206|5086|<br>5826|<br>6708|7437|8516|9830|11174|12041|<br>12751|
|30-34|3520|4150|5084|<br>5776|6658|7383|8460|9772|<br>111l8|<br>11990|
|35-39|2877|3468|4135|<br>5032|5n4|6601|7324|8401|<br>9712|<br>11059|
|40-44|2379|2825|3436|<br>4083|4973|5662|6536|7258|8334|<br>9643|
|45-49|2138|2326|2780|<br>3377|4020|4901|5586|6455|7175|<br>8250|
|50-54|1859|2074|2267|<br>2710|3302|3938|4806|5486|6348|<br>7067|
|55-59|1584|1782|<br>1995|<br>2184|2621|3202|3828|4680|5354|<br>6207|
|60-64|1116|1486|<br>1678|<br>1885|2073|2498|3066|3678|4510|<br>5175|
|65-69|818|1005|<br>1350|<br>1532|1734|<br>1917|2326|2875|3469|<br>4274|
|70-74|684|686|<br>852|1158|1329|1519|1696|2082|2602|<br>3172|
|75+<br>|813<br>|919<br>|<br>977<br>|<br>1150<br>|<br>1524<br>|1914<br>|2314<br>|2732<br>|3353<br>|<br>4263<br> <br>|
|TOTAL|56230|64716|74859|85408|96520|107963|119877|132154|144427|<br>156409|
|BIRTH RATE|<br>3|6.3|35.4|32.9<br>|30.4<br>|28.1<br>|26.4<br>|24.8<br>|22.8|20.8|
|DEATH RATE||8.4|7.9|6.9|6.3|6.0|5.8|5.5|5.4|5.3|
|RATE OF NAT|. INC.2|.78|2.75|2.59<br>|2.41<br>|2.21<br>|2.06<br>|1.92<br>|1.74|1.56|
|**NET**MIGRAT|ION<br>RATE|-.0|1.3|.2|.1|.0|.0|.0|.0|.0|
|GROWTH RATE|<br>2|.78|2.87|2.61<br>|2.41<br>|2.21<br>|2.06<br>|1.92<br>|1.74|1.56|
|TOTAL FERTI|LITY5|050|4750<br>|4371<br>4|007<br>3|642<br>3.|350<br>3|083<br>2.|826|2.601|
|<br>NRR|.<br>2.1|<br>50|.<br> <br>2.053|.<br> <br>1.920<br>1|<br> <br>.805<br>1.|<br> <br>660<br>1.|<br> <br>530<br>1.|<br> <br>420<br>1|<br>.315|1.223|
|**e(O)**- BOT|H SEXES64|.13|65.25<br>|67.20<br>6|8.77<br>69|.87<br>7|1.02<br>7|2.24<br>7|3.52|74.87|
|<br>**e(15)**<br>- BOT|H SEXES55|.70|55.97<br>|57.12<br>5|7.94<br>5|8.55<br>5|9.20<br>5|9.90<br>6|0.65|61.46|
|IMR- BOTHS<br>|EXES<br>6<br>|8.8<br>|61.5<br>|53.8<br> <br> <br>|46.4<br> <br> <br>|41.0<br>3<br> <br>|5.5<br>3<br> <br>|0.2<br> <br> <br>|24.9<br>|19.4<br>|
|q(5)- BOTH|SEXES.0|925|.0816|.0707<br>.0|604<br>.0|536<br>.0|467<br>.0|399<br>.0|329|.0257|
|<br>DEP. RATIO|80.5|78.9|78.7|77.4|73.5|68.3|64.2|61.3|59.0|56.6|
WORID, GEOGRAPHIC REGIONS, AND INCOME GROUPS 29

|Summary Proje|ction for<br>|25-Year Per|iods|||S|OUTHW|EST ASA|
|---|---|---|---|---|---|---|---|---|
|AGE GROUJP|<br>1985|2000|2025|2050|2075|2100|2125|<br>2150|
|TOTAL M+F<br>|115359|174389|292576|400557|474135|507414|519729|<br>525518|
|MALES<br>|||||||||
|0-4<br>|9070<br>|12897<br>|15892<br>|15966|15840|15803|15795|15793|
|5-9<br>|7849<br>|11833|15528|15860|15786|15772|<br>15780|15782|
|10-14<br>|7046|10368|14838|15668|15723|15757|<br>15782|15783|
|15-19|6193|8820|14001|15597|15656|15757|15779|15775|
|20-24<br>|5432<br>|7725|<br>13297|15666|15684|15749|15752|15747|
|25-29|4779|6938|12464|15576|15780|15703|15698|15700|
|30-34<br>|4010<br>|6094|11472|15202|15635|15612|15631|15652|
|35-39<br>|3233<br>|5318<br>|9992<br>|14450|15378|15493|15569|15609|
|40-44|2562|4643|8435|13544|15222|15358|15508|15554|
|45-49<br>|2224|3831|7294|12751|15179|15299|15426|15460|
|50-54<br>|2021<br>|2996<br>|6406|11760|14895|15230|15246|15284|
|55-59<br>|1625<br>|2263|5417|10527|14214|14815|14929|15014|
|60-64<br>|1140<br>|1834<br>|4447<br>|8m<br>|13047<br>|14165|14477|14645|
|65-69|734|1506|3545|6909|11584|13417|13842|14116|
|70-74|609|1033|2514|5337|10009|12467|13002|13310|
|75+|602|881|2609|7512|16730|25037|28590|30138|
|TOTAL|59130|88981|148150|201098|236363|251433|256805|259363|
|FEMALES<br>|||||||||
|0-4|8830|12361|15155|15204|15074|15027|15018|15016|
|5-9|7587|11369|14833|15114|15032|15003|15007|15009|
|10-14|6799|9980|14196|14938|14977|14994|15009|15011|
|15-19<br>|5871|8616|13427|14885|14926|15004|15014|15011|
|20-24<br>|5149|7487|<br>12799|14984|14983|15024|15010|15004|
|25-29|4206|6708|12041|14957|15119|15021|14995|14992|
|30-34<br>|3520|5776|11118|14652|15018|14972|14966|14979|
|35-39|2877|5032|9712|13980|14807|14894|<br>14941|14968|
|40-44|2379|4083|8334|13166|14708|14812|14929|14956|
|45-49|2138|3377|<br>7175|12476|14737|14824|<br>14918|14928|
|50-54<br>|1859<br>|2710|6348|<br>11625|14603|14882|<br>14864|14873|
|55-59|1584|2184|5354|10578|14147|14665|14737|14785|
|60-64|1116|1885|4510|9035|13276|14293|14550|14675|
|65-69|818|1532|3469|7487|<br>12187|13951|14309|14536|
|70-74|684|1158|2602|6064|11074|13582|14053|14316|
|75+<br>|813<br>|1150<br>|3353<br>|10312|23106|35031|40603|43097|
|TOTAL|56230|85408|144427|199459|237772|255981|262924|266155|
|BIRTH RATE||34.7|26.1|18.1|14.1|12.6|12.0|11.8|
|DEATH RATE||7.7|5.7|5.7|7.4|9.9|11.1|11.4|
|NET MIGRATI|ON<br>RATE|.5|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE||2.75|2.07|1.26|.67|.27|.10|.04|
|TOTAL FERTI<br>|LITY<br>|4.686<br>|3.313<br>|2.330<br>|2.084<br>|2.070<br>|2.063<br>|2.061|
|e(O)**-** BOTH|EXES|65.67|71.32|76.66|80.25|82.55|84.47|85.25|
|**IMR-** BOTH S|EXES|60.9|35.2|15.2|7.2|4.3|2.4|2.2|
30 WORLD, GEOGRAPHIC REGIONS, AND INCOME GROUPS

# EhROPE AND FORMER SOVIET REPUBLICS

|EhROPE|AND|ORMER|SOVIE|T REP|BLICS||Po|pulationPr|ojection(|thousands)|
|---|---|---|---|---|---|---|---|---|---|---|
|AGE**GROUP**|<br>1985|<br>1990|1995|2000|2005|2010|2015|<br>2020|<br>2025|<br>2030|
|TOTAL**M+F**<br>|769"42|<br>790333|808216|825469|842364|857207|870514|<br>882598|<br>893937|<br>904625|
|MALES|||||||||||
|0-4<br>|29556|<br>29888|28959|28228|28317|28506|28501|<br>28389|<br>28333|<br>28407|
|5-9<br>|29272<br>|<br>29482<br>|29752|28871|28146|28242|28442|<br>28446|<br>28343|<br>28295|
|10-14<br>|29468<br>|<br>29235<br> <br>|29396<br>|29696<br>|28819<br>|28101<br>|28205|<br>28411<br>|<br>28422<br>|<br>28326|
|15-19|30421|<br>29377|29101|29298|29604|28740|28034|<br>28145|<br>28359|<br>28378|
|20-24|29959|<br>30255|29144|28931|29135|29450|28607|<br>27916|<br>28039|<br>28263|
|25-29|30970|<br>29763|29964|28940|28733|<br>28945|29274|<br>28450|<br>2777|6<br>27910|
|30-34|29695|<br>30716|29471|29747|28739|<br>28542|28767|<br>29109|<br>28306|<br>27649|
|35-39|27508|<br>29374|30361|29222|29517|28526|28345|<br>28584|<br>28941|<br>28163|
|40-44|21466|<br>27092|28926|29985|28915|29222|28257|<br>28093|<br>28351|<br>28728|
|45-49<br>|21921<br>|<br>20991<br>|26501|28373|<br>29481|28478|28810|<br>27881|<br>27746|<br>28032|
|50-54|22195|<br>21142|20308|25703|27596|28729|27822|<br>28188|<br>27317|<br>27225|
|55-59<br>|19844|<br>20938|20070|19377|24602|26477|27656|<br>26892|<br>27316|<br>26535|
|60-64<br>|17251<br>|<br>18156<br> <br>|19283<br>|18649<br>|18138|23095<br>|24958<br>|<br>26210|<br>25654|26171|
|65-69|9965|<br>15050|16007|17154|16812|16489|<br>21096|<br>22945|<br>24294|24012|
|70-74<br>|9379<br>|8101<br> <br>|12350<br>|13345<br>|14505<br> <br>|14447<br>|14348|<br>18498|<br>20317|21776|
|75+|12159|<br>12716<br>|12333|15463|<br>18583|21440|23307|<br>24584|28969|33824|
|TOTAL|371030|382276|391924|400983|409643|417430|424429|430742|436483|441697|
|FEMALES|||||||||||
|0-4|28366|<br>28488|<br>27572|26859|26929|27107|27098|26985|26924|26987|
|5-9<br>1014|27981<br>28190|<br>28330<br> <br>2|28387<br>|27515<br>|26803<br>|26878<br>|27065<br>|27063<br>|26957<br>|26902<br>|
|-||<br>7978|28275|28359|27487|26779|26860|27051|27053|26951|
|15-19|28910|28182|27910|28240|28322|27455|26754|26839|27034|27041|
|20-24<br>|28980|28910|28073|<br>27860|28182|28270|27413|26719|26809|27009|
|25-29|30216|28975|28778|28012|27791|28118|28215|27366|26677|26773|
|30-34|29232|30169|28842|28702|27935|27719|28054|28157|27315|26633|
|35-39|27315|<br>29131|30013|28742|28606|27846|27639|27981|28091|27259|
|40-44<br>|21550<br>|27148<br>|28936<br>|29854<br>|28606<br>|28479<br>|27733<br>|27535<br>|27886|28006|
|45-49|22709|21334|26885|28697|29637|28415|28304|27574|27390|27754|
|50-54<br>|23664|22339|21024|26543|28370|29323|28140|28049|27344|<br>27180|
|55-59<br>|22528<br>|23066<br>|21849|20624|26094|27920|28894|27768|27708|27041|
|60-64|22844|21646|22278|21207|20099|25477|27311|28325|27284|27278|
|65-69<br>|15192|21391|20463|21226|20352|19362|24620|26478|27561|26653|
|70-74<br>|15362<br>|13580<br>|19420<br>|18835<br>|19775<br>|19089<br>|18279<br>|23373|25280|26481|
|75.|25672|27391|27587|33212|37735|41540|43705|44592|50138|56981|
|TOTAL|398712|408057|41622||||||||
||||9|424486|432721|439777|446086|451855|457454|462928|
|BIRTH RATE||15.3<br>|14.4<br>|13.7|13.4<br>1|3.2|13.0|12.7|12.5|12.4|
|DEATH RATE||10.2|9.8|9.5|9.3<br>|9.7|9.9|10.0|10.0|10.0|
|RATE OFHAT<br>|.INC.<br> <br>|.50<br>|.46<br>|.42<br>|.41<br>|.35<br>|.31<br>|.28<br>|.26<br>|.24|
|NET MIGRATI|ON<br>RATE|.2|-.2|.0|-.0|-.0|-.0|.0|.0|.0|
|GROWTH RATE||.53|.45|.42|.41|.35|.31|.28|.26|.24|
|TOTAL FERTI|LITY|2.042<br>1|.992<br>1.|963<br>1|.984<br>2.0|04<br>2|.012<br>|2.024<br>|2.043<br>|2.062|
|NRR||.973<br>|.939<br>.|932|.949<br>.|962|.968|.974|.984|.996|
|o(O)- BOTH<br>|SEXES<br>|73.12<br>7|4.42<br>75|.68<br>7|6.90<br>77|.64<br>7|8.42<br>|79.24<br>8|0.10<br>|81.00|
|et1s)- **50T**|**H**<br>SEXES|59.67<br>60|.81<br>61|.90<br>6|2.96<br>63|.60<br>6|4.27<br>|64.97<br>6|5.71<br>|66.49|
|**IMR**- BOTH S<br>|EXES<br>|17.5<br> <br> <br>|14.9<br>1<br> <br>|2.5<br>|10.6<br>|9.4|8.1|6.7|5.4|4.1|
|qt5)- BOTH|SEXES.<br>|0214<br>.0<br>|183<br>.0<br>|155<br>.<br>|0132<br>.0|118<br>.0|103<br>|.0087<br>.|0072<br>.|0056|
|DEP. RATIO|<br>51.2|52.4|53.2|53.8|53.7|53.3|55.7|58.8|62.1|64.8|
WORLD, GEOGRAPHIC REGIONS, **AND** INCOME GROUPS 31 Surmry Projection for 25-Year Periods EUROPE AND FORMER SOVIET REPUBLICS

|AGEGROUP|1985|2000|2025|2050|2075|2100|2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL M+F|769742|825469|893937|922094|930123|941153|94956|8<br>953780|
|MALES|||||||||
|0-4|29556|28228|28333|28107|28420|28420|28419|28418|
|5-9|29272|28871|28343|28390|28402|28399|28398|28397|
|10-14|29468|29696|28422|28388|28397|28393|28393|28393|
|15-19|30421|29298|28359|28370|28367|28371|28376|28378|
|20-24|29959|28931|28039|28253|28294|28317|28327|28332|
|25-29|30970|28940|27776|28056|28194|28236|28253|28260|
|30-34|29695|29747|28306|27981|28104|28154|28174|28184|
|35-39|27508|29222|28941|27940|28003|28063|28092|28107|
|40-44|21466|29985|28351|27m79|<br>27860|27929|27978|28003|
|45-49|21921|28373|27746|27238|27593|27725|27807|27843|
|50-54|22195|25703|27317|26655|27127|27393|27514|27567|
|55-59|19844|19377|27316|<br>26592|26587|26907|27076|27151|
|60-64|17251|18649|25654|26284|25849|26210|26447|26557|
|65-69|9965|17154|24294|24441|24615|25168|25491|25658|
|70-74|9379|13345|20317|22021|22623|23534|24025|24274|
|75+|12159|15463|28969|44454|48502|52073|<br>55053|56581|
|TOTAL|371030|400983|436483|451198|456939|463292|467822|470102|
|FEMALES|||||||||
|0-4|28366|26859|26924|26970|26975|26971|26969|26967|
|5-9|27981|27515|26957|26968|26966|26958|26956|26954|
|1G-14|28190|28359|27053|26976|26965|26956|26954|26953|
|15-19|28910|28240|27034|26984|26952|26950|<br>26950|26951|
|20-24|28980|27860|26809|26935|26929|26940|26942|26944|
|25-29|30216|28012|26677|26841|26911|26928|26932|26933|
|30-34|29232|28702|27315|<br>26857|26898|26914|26917|26919|
|35-39|27315|<br>28742|28091|26909|26875|26889|26896|26901|
|40-44|21550|29854|27886|<br>26832|26841|26845|26865|26876|
|45-49|22709|28697|27390|26528|26734|26778|26820|26837|
|50-54|23664|26543|27344|26264|26544|26688|26750|26774|
|55-59|22528|20624|27708|26685|26412|26565|26648|26682|
|60-64|22844|21207|27284|<br>27131|26252|26385|26498|26550|
|65-69|15192|21226|27561|26478|<br>25867|26119|26269|26356|
|70-74|15362|18835|25280|25286|25072|25634|25897|26039|
|75.|25672|<br>33212|50138|70253|73992|<br>77341|80482|82041|
|TOTAL|398712|424486|457454|470896|473184|477861|481745|483678|
|BIRTH RATE||14.4|13.0|12.2|12.0|11.9|11.7|11.7|
|DEATH RATE||9.8|9.8|11.0|11.6|11.4|11.4|11.5|
|**NET**MIGRAT|ION<br>RATE|.0|-.0|.0|.0|.0|.0|.0|
|GROWTH RAT|E|.47|.32|.12|.03|.05|.04|.02|
|TOTAL FERT|ILITY|2.002|2.013|2.067|2.065|2.064|2.062|2.062|
|etO)**-** BOT|H SEXES|74.43|78.48|81.96|83.86|84.93|85.73|86.05|
|IMR**-** BOTH|SEXES|15.0|8.0|3.6|2.6|2.3|2.1|2.0|
32 WORLD, GEOGRAPHIC REGIONS, AND INCOME GROUPS

# OCEANIA TOTAL

|TOT|L||||||Po|putation P|rojection (|thousands)|
|---|---|---|---|---|---|---|---|---|---|---|
|AGE GROUP<br>1985|<br>1990|<br>1995|2000|2005|2010||2015|<br>2020|<br>2025|<br>2030|
|TOTAL M+F<br>24629<br>|<br>26735|<br>28919|<br>30979|32876|34556||36041|<br>37348|<br>38581|<br>39733|
|MALES<br> <br>|<br>|<br>|||||||||
|0-4<br>1206<br> <br>|<br>1261<br> <br>|<br>1353<br>|1376|1379|137|2|1368|<br>1358|<br>1366|<br>1381|
|5-9<br>1136<br> <br>|<br>1226<br> <br>|<br>1280<br> <br>|1369<br>|1387<br> <br>|1384<br>|<br>|137<br>|2<br>1364<br> <br>|<br>1353<br> <br>|<br>1362<br>|
|10-14<br>119<br>1519<br>117|<br>1154<br> <br>|<br>1243<br> <br>|1294<br> <br>|<br>1378<br> <br>|1392<br>|<br>|1385<br>|<br>1370<br> <br>|<br>1362<br> <br>|<br>1352<br> <br>|
|-<br> <br> <br>|<br>1210<br> <br>|<br>1169<br> <br>|<br>1254<br>|<br>1301<br>|1381||1390|<br>1381|<br>1366|<br>1359|
|20-24<br>1109<br> <br>|<br>1206<br>|<br>1235|1189|1266|1305||1377|<br>1382|<br>1373|<br>1360|
|25-29<br>1031<br> <br>|<br>1147<br>|<br>1241<br> <br>|1261<br>|1206|1272||130|1<br>1366|<br>1372|<br>1366|
|30-34<br>942<br> <br>|1063<br>|<br>1176|1261<br>|1273|1210||1268|<br>1291|<br>1356|<br>1365|
|35-39<br>892<br> <br>|963<br> <br>|1081<br>|<br>1187<br>|1266<br>|1272<br>|<br>|1203<br>|<br>1257<br>|<br>1281|<br>1348|
|40-44<br>727<br> <br>|<br>900<br>|970<br>|1084<br>|1185|1258<br>|<br>|1260|<br>1189|<br>1244|<br>1269|
|45-49<br>625<br> <br>|n4<br>|894<br>|961<br>|1072<br>|1169<br>|<br>|1239<br>|<br>1240<br>|<br>1172|1228|
|50-54<br>548<br> <br>|610<br>|707<br>|872|939|1047||1142|<br>1210|<br>1213|<br>1148|
|55-59<br>545<br> <br>|523<br>|583<br>|679<br>|839|905||1010|<br>1103|<br>1171|1177|
|60-64<br>465<br> <br>|504<br>|487<br>|545<br>|639|792||858|<br>961|1053|1121|
|65-69<br>356<br> <br>|412<br>|450<br>|439<br>|495<br>|586<br>||730|<br>796|896|987|
|70-74<br>263<br> <br>|294<br>|346<br>|383<br>|378<br>|431||515|648|<br>714|811|
|75+<br>277<br> <br>|338<br> <br>|400<br>|482<br> <br>|566<br>|616<br>||690|815|1015|1209|
|TOTAL<br>12495<br>|<br>13535|14615|<br>15634|16569|17391||18109|18731|19308|19842|
|FEMALES<br> <br>|||<br>||||||||
|0-4<br>1129<br> <br>|1203<br>|1290<br>|<br>1311|1313|1306||1301|1291|1298|1312|
|5-9<br>1055<br>10-14<br>1111|1151<br>1075|1224<br>1169|1308<br>1239|1324<br>1318|1320<br>1329||1307<br>121|1298<br>|1287<br>|1295<br>|
|<br> <br>15-19<br>1097|<br>1132|<br>|<br>|<br>|<br>|<br>|3<br>|1305<br>|1296<br>|1286<br>|
|<br> <br>||1094|1184|1249|1323||1330|1318|1303|1295|
|20-24<br>1022<br>22<br>|1138<br>|<br>1170<br>|<br>1124<br>|1204<br>|1259<br>||1324<br>|1324<br>|1314|1300|
|5-9<br>983<br> <br>|1071<br> <br>|1182<br>|1204<br>|1148<br>|1216||1260|1316|1318|1310|
|30-34<br>913<br> <br>|<br>1018<br>|1103<br>|1206<br>|1220|1155||1215|1253|1310|1314|
|35-39<br>861<br>|933|1037|1117|1213|1221||1152|1207|1246|1304|
|40-44<br>684<br>45-49<br>586|<br>867<br>|939<br>|1039<br>|1117<br>|1208<br>||1213<br>|1143<br>|1199<br>|1239<br>|
|<br> <br> <br>|683<br>|863|934|1032|1108||1197|1202|1133|1190|
|50-54<br>515<br> <br>|577<br>|673<br>|<br>850<br>|921|1018||1094|1182|1187|1120|
|55-59<br>522<br> <br>|501<br>|562<br>|658<br>|831<br>|903<br>||999|1075|1162|1169|
|60-64<br>473<br> <br>|500<br>|482<br>|541<br>|637|806||879|975|1051|1139|
|65-69<br>395<br>7074<br>|444<br>|471<br>|456<br>|515<br>|609<br>||m<br>|847|943<br>|1020|
|-<br>324<br> <br>|357<br>|404<br>|431<br>|421<br>|477<br>||570|728<br>|<br>803|900|
|75+<br>463|550|639|744|845|906||996|<br>1155|1423|1699|
|TOTAL<br>12134|<br>13200|14304|15345|16307|17165||17931|<br>18618|<br>|<br>|
||<br>|||||||<br>|<br>19273|<br>19892|
|BIRTH RATE<br>|19.6|19.3|18.2<br>1|7.1<br>16|.1|15|.4|14.7|14.3|13.9|
|DEATH RATE<br>|7.9<br>|7.8<br> <br>|7.6<br> <br>|7.4<br>7|.5|7|.5|7.5|7.7|8.1|
|RATE OFNAT.INC.<br>NET<br>|1.16<br>|1.15<br> <br>|1.06<br>.<br> <br>|97<br>.<br> <br>|86<br>|.|79<br>|.71<br>|.65<br>|.59|
|MIGRATION<br>RATE|4.8|4.2|3.2<br>|.2<br>|.3||.6|.0|-.0|.0|
|GROWTH<br>RATE|1.64<br>|1.57<br>|1.38<br>1.|19<br>1.|00|.|84|.71|.65|.59|
|TOTAL FERTILITY2|.463<br>2|.453<br>2|.372<br>2.3|09<br>2.2|45<br>2|.1|79<br>2|.109<br>2|.088<br>2|.096|
|NRR<br>1<br>|.119<br>1<br>|.117<br>1|.097<br>1.0|79<br>1.0|52<br>1|.0|25|.997|.990|.997|
|eCO)- BOTH SEXES7<br>|1.89<br>7<br> <br>|2.85<br>7<br> <br>|3.88<br>74.<br>|92<br>75.|65<br>7|6.4|3<br>7|7.26<br>7|8.17<br>7|9.13|
|e(15)- BOTH SEXES5<br> <br>|8.82<br>5<br> <br>|9.52<br>6<br> <br>|0.31<br>61<br> <br>|.15<br>61.<br>|85<br>6|2.5|9<br>6|3.39<br>6|4.26<br>6|5.18|
|IMR- BOTH SEXES<br> <br>|27.0<br> <br> <br>|23.5<br> <br> <br>|19.5<br>16<br> <br>|.1<br>15<br> <br>|.3<br> <br>|14<br>|.5<br>|13.5<br> <br>|12.9<br> <br>|12.4<br>|
|qC5)- BOTH SEXES.|359<br>.|308<br>.|250<br>.02|02<br>.01|92<br>.|01|82<br>.|0171<br>.|0163<br>.|0157|
|DEP. RATIO<br>56.7|54.8|55.1|53.7|52.5|51.4||52.0|<br>53.2|<br><br>55.4|58.2|
WORLD, GEOGRAPHIC REGIONS, AND INCOME GROUPS 33 Summary Projection for 25-Year Periods OCEANIA TOTAL

|AGEGROUP|1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>212|5<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL M+F|24629|<br>30979|<br>38581|<br>42555|<br>44041|<br>44901|<br>4552|1<br>45834|
|MALES|||||||||
|0-4|1206|1376|1366|<br>1368|<br>1371|<br>1371|<br>1371|<br>1371|
|5-9|1136|1369|1353|<br>1365|<br>1371|<br>1371|<br>1371|<br>1370|
|10-14|1194|<br>1294|<br>1362|<br>1370|<br>1372|<br>1371|<br>1370|<br>1370|
|15-19|1179|<br>1254|<br>1366|<br>1375|<br>1371|<br>1369|<br>136|9<br>1369|
|20-24|1109|<br>1189|<br>1373|<br>1369|<br>1364|<br>1365|<br>1366|<br>1367|
|25-29|1031|<br>1261|<br>1372|<br>1348|<br>1355|<br>1361|<br>1363|<br>1364|
|30-34|942|<br>1261|<br>1356|<br>1332|<br>1350|<br>1358|<br>1360|<br>1360|
|35-39|892|<br>1187|<br>1281|<br>1334|<br>1349|<br>1355|<br>1356|<br>1356|
|40-44|727|<br>1084|<br>1244|<br>1330|<br>1348|<br>1348|<br>1349|<br>1351|
|45-49|625|<br>961|<br>1172|<br>1327|<br>1334|<br>1335|<br>1340|<br>1342|
|50-54|548|<br>872|<br>1213|<br>1307|<br>1299|<br>1314|<br>1324|<br>1329|
|55-59|545|<br>679|<br>1171|<br>1261|<br>1259|<br>1288|<br>1304|<br>1309|
|60-64|465|<br>545|<br>1053|<br>1149|<br>1223|<br>1257|<br>1274|<br>1280|
|65-69|356|<br>439|<br>896|<br>1058|<br>1162|<br>1208|<br>1226|<br>1235|
|70-74|263|<br>383|<br>714|<br>917|<br>1073|<br>1124|<br>1150|<br>1165|
|75.|277|<br>482|<br>1015|<br>1889|<br>2185|<br>2408|<br>2600|<br>2697|
|TOTAL|12495|<br>15634|<br>19308|<br>21101|<br>21786|<br>22203|<br>22493|<br>22634|
|FEMALES|||||||||
|0-4|1129|<br>1311|<br>1298|<br>1297|<br>1300|<br>1300|<br>1300|<br>1300|
|5-9|1055|<br>1308|<br>1287|<br>1296|<br>1300|<br>1300|<br>1300|<br>1299|
|10-14|1111|<br>1239|<br>1296|<br>1302|<br>1302|<br>1300|<br>1299|<br>1299|
|15-19|1097|<br>1184|<br>1303|<br>1308|<br>1302|<br>1299|<br>1299|<br>1299|
|20-24|1022|<br>1124|<br>1314|<br>1305|<br>1297|<br>1297|<br>1298|<br>1299|
|25-29|983|<br>1204|<br>1318|<br>1289|<br>1293|<br>1296|<br>1298|<br>1298|
|30-34|913|<br>1206|<br>1310|<br>1278|<br>1291|<br>1297|<br>1298|<br>1298|
|35-39|861|<br>1117|<br>1246|<br>1283|<br>1294|<br>1297|<br>1297|<br>1296|
|40-44|684|<br>1039|<br>1199|<br>1284|<br>1298|<br>1294|<br>1294|<br>1295|
|45-49|586|<br>934|<br>1133|<br>1289|<br>1291|<br>1287|<br>1290|<br>1292|
|50-54|515|<br>850|<br>1187|<br>1283|<br>1268|<br>1278|<br>1286|<br>1289|
|55-59|522|<br>658|<br>1162|<br>1260|<br>1246|<br>1269|<br>1280|<br>1284|
|60-64|473|<br>541|<br>1051|<br>1179|<br>1236|<br>1262|<br>1273|<br>1277|
|65-69|395|<br>456|<br>943|<br>1110|<br>1213|<br>1249|<br>1260|<br>1265|
|70-74|324|<br>431|<br>803|<br>1011|<br>1178|<br>1217|<br>1234|<br>1246|
|75+|463|<br>744|<br>1423|2679|3146|3454|<br>3722|<br>3861|
|TOTAL|12134|<br>15345|<br>19273|<br>21454|<br>22256|<br>22698|<br>23028|<br>23199|
|BIRTH RATE||19.0|15.4|13.2|12.4|12.1|11.8|11.7|
|DEATH RATE||7.8|7.5|9.4|11.0|11.3|11.3|11.4|
|NET MIGRATI|ON<br>RATE|4.0|.8|.0|.0|.0|.0|.0|
|GROUTH<br>RATE||1.53|.88|.39|.14|.08|.05|.03|
|TOTAL FERTI|LITY|2.428|2.183|2.090|2.073|2.068|2.064|2.063|
|eCO)- BOTH|SEXES|72.92|76.55|80.20|82.46|84.00|85.25|85.74|
|IMR- BOTH S|EXES|23.2|14.4|9.2|4.1|2.9|2.2|2.1|
34 WORLD, GEO(RAPHIC REGIONS, AND INCOME GROUPS

# LOW-INCOME ECONOMIES

|LOW-IN|COME|CONO|IES||||Pop|utatlon P|rojection<br>|(thousands)|
|---|---|---|---|---|---|---|---|---|---|---|
|AGE GROUP|<br>1985|1990|1995|<br>2000|<br>2005|2010|2015|2020|<br>2025|<br>2030|
|TOTAL M+F|2743039|3039160|3342781|<br>3641987|<br>3939257|<br>4233066|4524498|4817950|<br>5107011|<br>5381095|
|MALES|||||||||||
|0-4|184341|206347|214396|<br>215741|<br>218846|221791|225485|231804|<br>235237|<br>234029|
|5-9|164192|178234|200458|<br>208914|<br>210852|214223|217582|221757|<br>228555|<br>232524|
|10-14|166561|162413|176399|<br>198635|<br>207125|209137|212596|216099|<br>220446|<br>227419|
|15-19|156628|164921|160776|<br>174685|<br>196847|<br>205367|207453|211000|<br>214641|<br>219152|
|20-24|133799|154504|162714|<br>158592|<br>172342|<br>194477|203045|205238|<br>208911|<br>212742|
|25-29|111468|131614|152141|<br>160313|<br>156145|<br>169832|191946|20057|6<br>202905|<br>206739|
|30-34|101005|109511|129493|<br>149908|<br>157953|153852|167490|189597|<br>198310|<br>200793|
|35-39|78050|99102|107490|<br>12733|9147548|155569|151546|165139|<br>18724|5196059|
|40-44|64282|76189|96934|105215|<br>124824|144855|152849|148930|<br>162470|<br>184556|
|45-49|58192|62208|73883|<br>94244|<br>102332|121678|141462|149418|<br>145648|<br>159104|
|50-54|51540|55558|59475|<br>70839|<br>90606|98494|117440|136854|<br>144749|<br>141192|
|55-59|43197|48155|51994|55795|<br>66710|85689|93302|111668|<br>130553|<br>138347|
|60-64|33536|38990|43620|47255|<br>50927|61248|79129|86362|<br>103915|<br>122058|
|65-69<br>|24541<br>|28708<br>|33539<br>|37769<br>|41165<br>|44636<br>|54134<br>|70517<br>|<br>7722<br> <br>|4<br>93645<br> <br>|
|70-74<br>|16508|19284|22741|26798|30537|33580|36747|45125|<br>59505|<br>65488|
|75+|14201|17906|21724|<br>26286|31968|38116|44092|50059|<br>60329|<br>78387|
|TOTAL|1402040|1553646|1707778|<br>1858328|<br>2006727|2152545|2296298|2440144|<br>2580643|<br>2712233|
|FEMALES|||||||||||
|0-4|175353|198803|207078|208927|212125|214795|218156|224042|<br>227130|<br>22z721|
|5-9|155207|169483|193245|<br>202167|204703|208128|211166|214950|<br>221265|<br>224837|
|10-14|157406|153480|167743|<br>191601|200615|203214|206722|209895|<br>213840|<br>220323|
|15-19|148620|155774|151929|<br>-. 6190|190050|199109|201795|205406|<br>20873|3212854|
|20-24|126749|146565|153791|<br>150075|164282|188167|197319|200147|<br>203923|<br>207470|
|25-29|105355|124543|144344|<br>151670|<br>148045|162237|186175|195463|<br>198483|<br>202478|
|30-34|95676|<br>103242|122381|142168|149542|146026|160220|184227|<br>193678|<br>196923|
|35-39|74033|93610|101155|120239|139951|147371|143986|158198|<br>182288|<br>191931|
|40-44|61075|72124|<br>91492|99017|117982|137590|145066|141842|<br>156082|<br>180158|
|45-49<br>|55125<br>|59152<br>|70066<br>|89180<br>|96639<br>|115440<br>|134914|142455|<br>139427|<br>153690|
|50-54|49046|52878|56880|67621|86378|93757|112334|131631|<br>139253|<br>136472|
|55-59|41299|<br>46286|<br>50045|54025|64521|82806|90094|108379|<br>127458|<br>135196|
|60-64|33412|37878|42656|46328|50269|60431|78086|85271|103186|<br>122010|
|65-69|25671|29192|33295|37781|41338|45219|<br>54919|71719|78780|<br>96221|
|70-74|18362|20666|23713|27302|<br>31389|34766|38525|47554|63142|<br>70001|
|75+|18610<br>|21838<br>|25190<br>|29365<br>|34702<br>|41464<br>|48724<br>|<br>56628<br>|69701<br>|92478<br> <br>|
|TOTAL|1340999|1485513|1635003|1783658|1932530|2080521|2228200|2377805|2526368|<br>2668862|
|BIRTH RATE||31.0|29.0|26.4|24.5|22.9|21.5|20.6|19.5|18.2|
|DEATH RATE||10.3|9.8|9.2|8.7|8.4|8.2|8.0|7.8|7.7|
|RATE OF NA|T. INC.|2.07|1.92|1.72|1.58|1.44|1.34|1.26|1.17|1.05|
|NET MIGRAT|ION<br>RATE|-2|-1|- 1|- 1|-0|-0|-0|0|0|
|<br>GROWTH<br>RAT|<br> <br>E|. <br>2.05|. <br>1.90|.<br>1.71|.<br>1.57|.<br>1.44|.<br>1.33|.<br>1.26|.<br>1.17|.<br>1.05|
|TOTAL FERT|ILITY3|.900<br>3|.592<br>|3.292<br>3|.098<br>2|.908<br>2|.725<br>2|.607<br>|2.506|2.397|
|NRR|1|.585<br>1|.471<br>|1.370<br>|1.326<br>1|.271<br>1|.197<br>1|.157|1.130|1.098|
|e(O)- BOT|H SEXES6|0.87<br>6|2.10<br>|63.47<br>6|4.87<br>6|6.02<br>6|7.24<br>6|8.54<br>|69.94|71.43|
|eC1s) - BOT|H SEXES5|3.54<br>5|4.03<br>|54.61<br>5|5.20<br>5|5.91<br>5|6.66<br>5|7.47<br>|58.33|59.25|
|**IMR**- BOTH|SEXES<br>|82.4<br> <br>|75.3<br> <br>|68.3<br> <br>|60.9<br> <br>|55.5<br> <br>|49.5<br> <br> <br>|43.5<br>|37.5<br>|31.4|
|q(5)- BOTH|SEXES .|1173<br>.1|069<br>.|0965<br>.|0851<br>.|0779<br>.|0696<br>.|0610|.0524|.0436|
|<br>DEP. RATIO|<br>69.1|<br>65.8|<br> <br>65.2|<br> <br>63.3|<br> <br>59.2|<br> <br>55.4|<br> <br>53.1|<br>52.6|<br>52.4|52.9|
WORLD, GEOGRAPHIC REGIONS, AND INCOME GROUPS 35 Suanary Projection for 25-Year Periods

# LOW-INCOME ECONOMIES

|AGE GROUP|1985|2000|2025|2050|2075|2100|2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL M+F|2743039|<br>3641987|<br>5107011|<br>6268152|6976702|7357538|<br>7562156|<br>7668248|
|MALES|||||||||
|0-4|184341|215741|235237|<br>230120|230293|230522|<br>230584|<br>230526|
|5-9|164192|<br>208914|228555|<br>229288|229908|230320|<br>230434|<br>230361|
|10-14|166561|<br>198635|<br>220446|<br>228710|229886|230224|<br>230390|<br>230321|
|15-19|156628|174685|<br>214641|<br>228271|229523|229869|<br>230175|<br>230168|
|20-24|133799|158592|<br>208911|<br>228799|228146|229061|<br>229636|<br>229759<br>|
|25-29|111468|160313|<br>202905|<br>227544|226839|227990|<br>228893|<br>229136<br>|
|30-34|101005|<br>149908|<br>198310|<br>221403|225441|227058|228141<br>|<br>228486<br> <br>|
|35-39|78050|127339|<br>187245|<br>212170|223791|226153|227298|<br>227772|
|40-44|64282|105215|<br>162470|<br>204787|221984|224687|226014|<br>226747|
|45-49|58192|94244|145648|<br>197192|220649|221967|224067|<br>225192|
|50-54|51540|70839|144749|<br>188184|216117|218151|220939|<br>222618|
|55-59|43197|55795|130553|<br>178391|204788|212486|216510|<br>218771|
|60-64|33536|47255|103915|<br>160194|188159<br>|204415<br>|210371<br> <br>|<br>213261<br> <br>|
|65-69|24541|37769|77224|<br>127575|169999|193005|<br>201083|<br>204908<br>|
|70-74|16508|26798|59505<br>|101034<br>|147697<br>|177235<br>|<br>186619<br>|<br>192153<br> <br>|
|75+|14201|26286<br>|60329<br> <br>|165131<br> <br>|259170<br>|344102<br>|400113<br>|<br>429990<br> <br>|
|TOTAL<br>|1402040|<br>1858328|<br>2580643|<br>3128794|3452391|3627243|3721267|<br>3770169|
|FEMALES|||||||||
|0-4|175353|208927|227130|221353|221098|220932|220921|<br>220875|
|5-9|155207|202167|221265|220931|220951|220881|220825|<br>220765|
|10-14|157406|191601|213840|220673|221100|220908|220799<br>|<br>220742<br> <br>|
|15-19|148620|166190|208733|220686|221046|220795|220701|<br>220697|
|20-24|126749|150075|203923|221938|220278|220504|220520<br>|<br>220618<br> <br>|
|25-29|105355|151670|198483|<br>221700|219813|220163|220408|<br>220511<br>|
|30-34|95676|142168|193678|<br>216595|219227|219902|220262|<br>220364|
|35-39|74033|120239|182288|<br>208383|218389|219662|220016|<br>220131|
|40-44|61075|99017|156082|<br>202107|217568|219066|219533|219752|
|45-49|55125|89180|139427|195847|217578|217540<br>|218726<br>|219184<br>|
|50-54|49046|67621|139253|188427|215363|215791|217526|218428|
|55-59|41299|54025|127458|180623|207435|213229|215963|217307|
|60-64|33412|46328|103186|165172|195278|209511|213859|215665|
|65-69|25671|37781|78780|134285<br>|183024<br>|204386<br>|210536<br>|213126<br>|
|70-74|18362|27302|63142<br>|110858<br>|167625<br>|197346<br>|204609<br>|208958<br>|
|75+|18610|29365|69701|209780<br>|358537<br>|489679<br>|575685<br>|620957<br>|
|TOTAL|1340999|1783658|2526368|3139358|3524310|3730294|3840889|3898079|
|BIRTH RATE||28.7|21.6|16.3|13.7|12.7|12.1|11.9|
|DEATH RATE||9.7|8.2|8.2|9.5|10.5|11.0|11.3|
|NET MIGRATI|ON<br>RATE|-.1|-.0|.0|.0<br>|.0<br>|.0<br>|.0<br>|
|GROWTH<br>RATE||1.89|1.35|.82|.43|.21|.11<br>|.06<br>|
|TOTAL FERTI|LITY|3.572<br>|2.749<br>|2.241<br>|2.079<br>|2.065<br>|2.056<br>|2.054<br>|
|**eO)-**BOTH|SEXES|62.23|67.49|73.78|78.56|81.49|83.95|84.93|
|<br>INR**-** BOTH S|<br>EXES|<br>75.3|<br>49.3|23.3|9.4|5.2|2.6|2.3|
36 WORLD, GEOGRAPHIC REGIONS, AND INCOME GROUPS

# LOWER-MMIDDLEINCOM **E** CONOMIS

Poputatio. Projection (thousands)

|AGE GROUP<br>1985|<br>1990|<br>1995||2000|2005|2010|2015|<br>2020|2025|<br>2030|
|---|---|---|---|---|---|---|---|---|---|---|
|TOTAL**M+F**<br>519741|<br>575680|<br>634722||695012|756543|817709|878783|939369|998962|<br>1056764|
|MALES|||||||||||
|0-4<br>37112<br>|<br>38997|<br>40802||41963|43007|43582|44368|44973|<br>45414|<br>45574|
|5-9<br>33130<br> <br>|<br>36320<br> <br>|38290<br>||40152<br>|41395|42474|43100|43940|44604|<br>45109|
|10-14<br>30079<br> <br>|<br>32836<br> <br>|36046<br>||38024<br>|39907<br>|41165|42260|42910|43775|<br>44467|
|15-19<br>27356<br> <br>|<br>29760<br> <br>|32537<br>||35744<br>|37742<br>|39636|40909|42021|42697|<br>43590|
|20-24<br>23716<br> <br>|<br>26873<br> <br>|29321||32099|35325|37343|<br>39254|40549|41690|<br>42405|
|25-29<br>20836<br> <br>|<br>23168<br> <br>|26374<br>||28827|31639|34874|36913|38848|40174|<br>41353|
|30-34<br>17612<br>|<br>20336|22712||25912|28398|31222|34461|36524|38486|<br>39847|
|35-39<br>14158<br>|<br>17158|19904||22276|25488|27982|30812|34057|36148|<br>38141|
|40-44<br>11346|<br>13732|16723||19450|21826|25025|27520|30354|33603|<br>35722|
|45-49<br>10452|<br>10920|13274||16217|18923|21279|24449|26940|29774|<br>33025|
|50-54<br>9210|9932|10409||12697|15570|18225|20547|23673|<br>26154|<br>28981|
|55-59<br>7907|8563|9261||9739|11929|14698|17278|19553|22617|<br>25083|
|60-64<br>6020<br> <br>|7101<br>|7717<br>||8379<br>|8857<br>|10919|13543|16021|18231|<br>21209|
|65-69<br>4132<br> <br>|5119<br>|6070||6635|7256|m79|9628|12052|14380|<br>16491|
|70-74<br>3348<br>'<br>|3216<br>|4019<br>||4808<br>|5314|5885|6358|8012|10159|<br>12268|
|75.<br>3458<br> <br>|3807<br>|3904<br>||4538|5545|6534|7564|8594|10543|<br>13532|
|TOTAL<br>259871<br>|287839|317361||347460|378120|408581|438963|469021|498450|526797|
|FEMALES<br>|||||||||||
|0-4<br>35m<br> <br>|37631|39353||40447|41426|41949|42672|43220|43608|43722|
|5-9<br>31957<br> <br>|35074|37017||38795|39970|40980|41548|42318|42918|43362|
|10-14<br>29011<br> <br>|31698|34843||36798|38597|39785|40808|41396|42188|42811|
|15-19<br>26392<br> <br>|28740<br>|31456||34604|36582|38393|39595|40636|41248|42066|
|20-24<br>23383|25999|28397||31124|34302|36304|38136|39363|40434|41085|
|25-29<br>20706<br> <br>|22942<br>|25614<br>||28025<br>|30794|33989|36017|37875|39136|40247|
|30-34<br>17676<br> <br>|20308<br>|22584||25265|2710|30495|33700|35753|37638|38934|
|35-39<br>14187<br> <br>|17325<br>|19976<br>||22256<br>|24958<br>|27412|30205|33417|35495|37408|
|40-44<br>11521<br> <br>|13881|17010||19653|21942|24642|27099|29898|33116|35219|
|45-49<br>10826<br> <br>|11230<br>|13571<br>||16671|19304|21584|24277|26733|29537|32761|
|50-54<br>9549<br>|10477|10893||13201|16262|18868|21134|23815|26273|29082|
|55-59<br>8411<br>|9128|10040||10468|12734|15735|18305|20555|23224|25687|
|60-64<br>6645<br>|7865|8566||9457|9907|12109|15031|17558|19792|22454|
|65-69<br>4806<br>|5975|7112||7795|8665|9138|11256|14074|16549|18M|
|70-74<br>4090<br>|4021|5061||6084|6746|7578|8083|10082|12756|15165|
|75+<br>4935<br>TOTAL<br>259870|5548<br>287842|5869<br>317361||6910<br>347552|8525<br>|10168<br>|11955<br>|13656<br>|16600<br>|21189<br>|
|<br>|||||378423|409129|439820|470348|500512|529967|
|BIRTHRATE|30.0<br>|28.2<br>|2|6.2<br>2|4.4<br>2|2.7<br>2|1.3<br>|20.1<br>|18.9|17.8|
|DEATH RATE<br>|8.8|8.2||7.6|7.2<br>|6.9<br>|6.8|6.6|6.6|6.5|
|RATE OFNAT.INC.<br>|2.12<br>|2.00<br>|1.|86<br>1|.73<br>1|.57<br>1|.45<br>|1.34<br>|1.23|1.13|
|NETMIGRATION<br>RATE<br> <br>|-.8|-.5|-|.4|-. 3|-.2<br>|-.1|- 1|-. 0|.0|
|GROWTH<br>RATE|2.04<br>|1.95<br>|1.|81<br>1|.70<br>1|.55<br>1|.44<br>|1.33<br>|1.23|1.13|
|TOTAL FERTILITY<br>3|.879<br>3.|571<br>3.|2|82<br>3.|028<br>2.7|98<br>2.6|33<br>2|.505<br>2.|407<br>2|.323|
|NRR<br>1<br>|.697<br>1|.573<br>1.|4|62<br>1.|366<br>1.|270<br>1.2|02<br>1|.155<br>1.|120<br>|1.092|
|**e(O)**<br>- BOTH SEXES6<br>|4.58<br>6<br> <br>|5.77<br>67<br>|.|13<br>68|.53<br>69|.58<br>70.|71<br>7|1.91<br>7|3.20<br>7|4.57|
|a(15)- BOTH SEXES5<br> <br>|4.84<br>5<br> <br>|5.44<br>56<br>|.|19<br>57|.00<br>57|.75<br>58.|55<br>5|9.40<br>60|.31<br>6|1.28|
|INR- BOTHSEXES<br> <br>|58.1<br> <br> <br>|52.8<br>4<br> <br>|6<br>|.6<br>4<br> <br>|0.3<br>3<br> <br>|6.3<br>3<br> <br>|2.2<br> <br>|28.1<br>2|3.8|19.3|
|q(5) - BOTHSEXES .|791<br>.0|714<br>.0|6|26<br>.0|537<br>.0|87<br>.04|34<br>.0|380<br>.0|324<br>|0264|
|DEP. RATIO<br>74.5|71.6|68.7||64.7|60.9|57.0|<br>54.4|<br> <br>53.0|<br>.<br>52.4|52.2|
WORLD, OEOORAPHIC REGIONS, AND INCOME GROUPS 37 LOW ER-MIDDLEINCOME ECONOMIES

> summary Projection for 25-Year Periods

|AGE GROUP<br>1985|2000|2025|2050|2075|2100|2125|2150|
|---|---|---|---|---|---|---|---|
|TOTAL**M+F**<br>519741|695012|<br>998962|1249300|1395432|1461784|1493914|<br>1509759|
|MALES<br> <br>||||||||
|0-4<br>37112|41963|45414|45245|45219|45226|45226|45218|
|5-9<br>33130<br>|40152|44604|45077|45166|45183|45191|45185|
|10-14<br>30079<br>|38024|43775|45039|45136|45159|45183|45178|
|15-19<br>27356|<br>35744|42697|45010|45021|45104|45150|45152|
|20-24<br>23716<br>|32099|41690|44888|44849|44991|45061|45075|
|25-29<br>20836|28827|40174|44366|44727|44833|44926|44953|
|30-34<br>17612|25912|38486|<br>43526|44440|44670|44781|44824|
|35-39<br>14158|22276|36148|42473|<br>44207|44479|44619|44690|
|40-44<br>11346<br> <br>|19450|33603|41124|43927|44164|44395|<br>44506|
|45-49<br>10452|16217|29774|39791|43488|43747|44071|44226|
|50-54<br>9210|12697|<br>26154|37732|<br>42411|43172|43532|43746|
|55-59<br>7907|9739|<br>22617|35155|40659|42124|42726|<br>43019|
|60-64<br>6020|8379|18231|31585|38281|40737|<br>41571|41979|
|65-69<br>4132<br> <br>|6635|14380|27356|<br>35062|38729|39811|40418|
|70-74<br>3348|4808|10159|21626|31060|35709|37190|38040|
|75+<br>3458<br> <br>|4538<br>|10543<br>|30347<br>|55718<br>|72181<br>|81745<br>|86388|
|TOTAL<br>259871<br>|347460|498450|620338|689371|720208|735178|742597|
|FEMALES<br>||||||||
|0-4<br>35773|<br>40447|43608|43334|43262|43229|43220|43213|
|5-9<br>31957<br> <br>|38795<br>|42918<br>|43218<br>|43241|43208|43198|43191|
|10-14<br>29011|36798|42188|43224|43234|43200|43193|43189|
|15-19<br>26392|34604|41248|43268|43168|43182|<br>43183|43184|
|20-24<br>23383|31124|40434|43280|43099|43156|43162|43170|
|25-29<br>20706<br> <br>|28025|39136|42964|43121|43126|43142|43149|
|30-34<br>17676|25265|37638|42318|42975|43085|43107|43120|
|35-39<br>14187<br> <br>|22256<br>|35495|<br>41461|42889|43015|43055|43080|
|-44<br>11521<br> <br>|19653<br>|33116<br>|40353|42803|42864|42977|43022|
|45-49<br>10826|16671|29537|39318|42628|42674|42866|42935|
|50-54<br>9549|13201|26273|<br>37708|42018|42492|42695|<br>42805|
|55-59<br>8411|10468|23224|35759|40942|42039|42442|42605|
|60-64<br>6645|9457|19792|33014|39477|41504|42071|42315|
|65-69<br>4806|7795|16549|29772|37490|40747|41478|41888|
|70-74<br>4090<br> <br>|6084<br>|12756<br>|25066<br>|35073<br>|39490|40564|41202|
|75+<br>4935<br>|6910|16600|44902|80639|104565|118383|125095|
|TOTAL<br>259870|347552|500512|628962|706060|741575|758736|<br>767162|
|BIRTH RATE|28.0|21.3|16.0|13.4|12.4|12.0|11.8|
|DEATH RATE|8.2|6.8|7.1|_9.0_|10.6|11.1|11.4|
|NET MIGRATION<br>RATE|-. 6|-. 1|.0|.0|.0|.0|.0|
|GROWTH RATE|1.94|1.45|.89|.44|.19|.09|.04|
|TOTAL FERTILITY<br>|3.553<br>|2.653|2.201|2.072|2.063|2.057|2.056|
|**e(O)**<br>**-** BOTH SEXES|65.91|70.95|76.56|80.50|82.75|84.60|85.34|
|**IMR**BOTH SEXES|52.4|32.1|14.5|6.3|3.9|2.4|2.2|
38 WORLD, GEOGRAPHIC REGIONS, AND INCOME GROUPS

# UPPER-MIDDLE-INCOME ECONOMIES

|UPPER-M|IDDL|E-INCO|ME ECO|NOMIE|||Pop|utatfon P|rojection|(thousands)|
|---|---|---|---|---|---|---|---|---|---|---|
|AGE GROIP|1985|<br>1990|<br>1995|<br>2000|2005|2010|2015|<br>2020|<br>2025|<br>2030|
|TOTAL**M+F**|454297|<br>502963|<br>554634|<br>607227|660129|714688|772052|<br>83074|4<br>88938|8<br>947198|
|MALES|||||||||||
|0-4|30182|<br>32905|<br>34620|<br>35248|35747|37392|39681|<br>41422|<br>4255|8<br>43411|
|5-9|27717|<br>29689|<br>32445|<br>34228|34929|35477|37167|<br>39491|<br>41274|<br>42454|
|10-14|26102|<br>27533|<br>29518|<br>32288|34090|34812|35381|<br>37083|<br>3941|9<br>41218|
|15-19|23614|<br>25893|<br>27335|<br>29341|32121|33937|34680|<br>35261|<br>36972|<br>39318|
|20-24|2168|1<br>23287|<br>25581|<br>27065|29096|31888|33730|<br>34485|<br>3508|0<br>36800|
|25-29|1901|7<br>21294|<br>22932|<br>25271|26791|28843|31655|<br>33503<br>|<br>3427<br> <br>|1<br>34880<br> <br>|
|30-34|16393|<br>18663|<br>20960|<br>22643|25008|26549|28625|<br>31432|<br>33287|<br>34069|
|35-39|13232|<br>16068|<br>18345|<br>20671|22382|24756|26317|<br>28394|<br>3119|9<br>33063|
|40-44|10707|<br>12920|<br>15738|<br>18030|20366|22085|24462|<br>26026|<br>2810|3<br>30900|
|<br>45-49|<br>9363|<br> <br>10374|<br>12559|<br>15356|17642|19961|21683|<br>24048|<br>2561|5<br>27690|
|50-54|8067|<br>8953|<br>9946|<br>12093|14837|17084|19372|<br>21087|<br>2343|3<br>25005|
|55-59|6755|<br>7543|<br>8398|<br>9373|11446|14092|16283|<br>1852|<br>20235|<br>22560|
|<br>60-64|<br>5338|<br> <br> <br>6105|<br> <br> <br>6846|<br> <br> <br>7668|<br>8601|<br>10563|<br>13074|<br> <br> <br>15186|<br> <br> <br>1736|<br>8<br>19072|
|65-69|3617|<br>4577|<br>5266|<br>5960|6730|7600|9409|11731|<br>1372|8<br>15815|
|70-74|2928|<br>2849|<br>3635|<br>4242|4871|5558|6337|7932|<br>9992|<br>11815|
|75+|3124|<br>3428|<br>3567|<br>4240|5177|6219|7374|<br>8679|<br>1072|7<br>13665|
|TOTAL|22M83|7<br>252080|<br>277691|<br>303719|329834|356815|385229|<br>414287|<br>44326|2<br>471735|
|FEMALES|||||||||||
|0-4|29042|<br>31751|<br>33362|<br>33924|34357|35882|38016|<br>39610|<br>40619|<br>41351|
|5-9|26748|<br>28623|<br>31366|<br>33041|33669|34143|35706|<br>37867|<br>39494|<br>40536|
|10-14|25251|<br>26598|<br>28490|<br>31249|32943|33588|34079|<br>35651|<br>37820|<br>39459|
|15-19|22850|<br>25099|<br>26466|<br>28377|31147|32855|33518|<br>34018|<br>35599|<br>37778|
|20-24|21037|<br>22626|<br>24906|<br>26304|28239|31026|32758|<br>33431|<br>33944|<br>35536|
|25-29|18539|<br>20779|<br>22407|<br>24720|26150|28108|30915|<br>32656|<br>33341|<br>33868|
|30-34|15851|<br>18302|<br>20572|<br>22233|24571|26019|27996|<br>30802|<br>32552|<br>33251|
|35-39|12958|<br>15636|<br>18108|<br>20398|22078|24426|25889|<br>27869|<br>30676|<br>32435|
|40-44|10697|<br>12760|<br>15444|<br>17924|20223|21908|24258|<br>25727|<br>27710|<br>30516|
|45-49|9501|<br>10494|<br>12554|<br>15229|17708|19999|21686|<br>24032|<br>25506|<br>27493|
|50-54|8361|<br>9255|<br>10254|<br>12301|14958|17416|19693|<br>21377|<br>23718|<br>25199|
|55-59|7218|<br>8050|<br>8948|<br>9950|11975|14588|17018|<br>19275|<br>20959|<br>23294|
|60-64|6006|<br>6808|<br>7639|<br>8541|9544|11520|14075|<br>16468|<br>18704|<br>20394|
|65-69|4191|<br>5454|<br>6247|<br>7080|7987|8964|10873|<br>13350|<br>15699|<br>17915|
|70-74|3659|<br>3552|<br>4707|<br>5487|6317|7184|8124|9938|<br>12306|<br>14599|
|75+<br>|4550<br>|<br>5097<br> <br>|<br>5473<br> <br>|<br>6751<br> <br>|8428<br>|10246<br>|12219<br>|<br>14385<br> <br>|<br>17481<br> <br>|<br>21839<br> <br>|
|TOTAL|22645|<br>250884|<br>276943|<br>303508|330295|357873|386823|<br>41645|<br>44612|<br>475464|
|BIRTH RATE||29.0|27.3|25.1<br>|23.1<br>|22.2<br>|21.6|20.7|19.7|18.7|
|DEATH RATE||8.0|7.3|6.7|6.2|6.1|6.1|6.1|6.1|6.1|
|RATE OFNA|T.INC.|2.10|2.00|1.85<br>|1.69<br>|1.60<br>|1.55|1.47|1.37|1.26|
|NET MIGRAT|ION<br>RATE|<br>-. 6|-. 5|-. 3|-. 2|-. 1|-. 0|-. 0|.0|.0|
|GROWTH<br>RATE||2.04|1.96|1.81<br>|1.67<br>|1.59<br>|1.54|1.47|1.36|1.26|
|TOTAL FERT|LITY|3.670<br>|3.409<br>|3.140<br>2|.912<br>2|.798<br>2|.742<br>|2.677|2.612|2.547|
|<br>NRR||<br> <br>1.631|<br> <br>1.534|<br> <br>1.430<br>1|<br> <br>.339<br>1|<br>.295<br>1|.286<br>|1.270|1.245|1.223|
|e(0)- BOTH|SEXES|66.49<br>|67.94<br>|69.64<br>7|1.20<br>7|2.23<br>7|3.30<br>|74.43|75.63|76.89|
|etl5) - BOT|H SEXES|56.57<br>|57.44|58.55<br>5|9.55<br>6|0.16<br>6|0.80<br>|61.47|62.16|62.88|
|INR- BOTH S<br>|EXES<br>|60.0<br>|53.2<br>|46.0<br> <br> <br>|39.2<br> <br> <br>|33.9<br> <br> <br>|28.2<br> <br>|22.2<br>|16.0<br>|9.5<br>|
|qt5) - BOTH|SEXES|.0753|.0660|.0565<br>.|477<br>.|414<br>.0|346<br>|.0274|.0199|.0121|
|<br>DEP. RATIO|70.0|67.1|65.1|62.6|59.1|56.2|55.1|55.7|56.5|<br>57.0|
WORLD, GEOGRAPHIC REGIONS, AND INCOME GROUPS 39 Sumry Projection for 25-Year Periods

# UPPER-MIDDLEINCOME ECONOMIES

|AGE GROUP|<br>1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL M+F|454297|<br>607227|<br>889388|<br>1155153|<br>1332825|<br>1432746|<br>1471841|<br>1484873|
|MALES|||||||||
|0-4<br>|30182<br>|<br>35248<br> <br>|<br>42558<br> <br>|<br>44973<br> <br>|<br>44636<br> <br>|<br>44394<br> <br>|<br>44352<br> <br>|<br>44356<br> <br>|
|5-9|27717|<br>34228|<br>41274|<br>44825|<br>44409|<br>44267<br>|<br>44304<br> <br>|<br>44329<br> <br>|
|10-14|26102|<br>32288|<br>39419|<br>44379|<br>43980|<br>44225|<br>44322|<br>44339|
|15-19|23614|<br>29341|<br>36972|<br>43905|<br>43923|<br>44301|<br>44347|<br>44324|
|20-24|21681|<br>27065|<br>35080|<br>43060|<br>44450|<br>44395|<br>44289|<br>44239|
|25-29|19017|<br>25271|<br>34271|<br>41974|<br>44575|<br>44315|<br>44119|<br>44095|
|30-34|16393|<br>22643|<br>33287|<br>40579|<br>44300|<br>43981|<br>43897|<br>43958|
|35-39|13232|<br>20671|<br>31199|<br>38564|<br>43682|<br>43409|<br>43729|<br>43859|
|40-44|10707|<br>18030|<br>28103|<br>35947|<br>42995|<br>43171|<br>43649|<br>43741|
|45-49|9363|15356|<br>25615|<br>33834|<br>41898|<br>43465|<br>43546|<br>43503|
|50-54|8067|12093|<br>23433|<br>32550|<br>40370|<br>43179|<br>43112|<br>43008|
|55-59|6755|9373|20235|<br>30785|<br>38246|<br>42218|<br>42191|<br>42243|
|60-64|5338|7668|17368|<br>27657|<br>35223|<br>40596|<br>40755|<br>41250|
|65-69|3617|5960|13728|<br>?-325|31260|<br>38413|<br>39182|<br>39897|
|70-74|2928|4242|9992|19108|<br>27173|<br>35114|<br>37338|<br>37820|
|75+|3124|4240|10727|<br>28687|<br>50265|<br>69832|<br>83231|<br>86751|
|TOTAL|227837|<br>303719|<br>443262|<br>574151|<br>661386|<br>709275|<br>726361|<br>731713|
|FEM4ALES|||||||||
|0-4|29042|33924|40619|<br>42849|<br>42543|<br>42323|<br>42285|<br>42290|
|5-9|26748|<br>33041|39494|<br>42710|<br>42333|<br>42209|<br>42249|<br>42274|
|10-14|25251|31249|37820|<br>42289|<br>41924|<br>42170|<br>42269|<br>42287|
|15-19|22850|28377|35599|<br>41872|<br>41890|<br>42260|<br>42313|<br>42291|
|20-24|21037|26304|33944|<br>41165|<br>42462|<br>42411|<br>42317|<br>42267|
|25-29|18539|<br>24720|33341|<br>40347|<br>42687|<br>42433|<br>42247|<br>42220|
|30-34|15851|22233|32552|<br>39211|<br>42519|42206|42123|<br>42179|
|35-39|12958|20398|30676|<br>37464|42024|41747|42045|<br>42168|
|40-44|10697|17924|27710|<br>35144|41508|41641|42082|<br>42168|
|45-49|9501|15229|25506|<br>33344|40663|42107|42160|<br>42114|
|50-54|8361|12301|23718|<br>32484|<br>39622|42158|42059|<br>41945|
|55-59|7218|9950|20959|<br>31314|38164|41730|41649|<br>41674|
|60-64|6006|8541|18704|<br>28960|35989|40873|40938|<br>41385|
|65-69|4191|7080|15699|<br>25450|33098|39826|40453|<br>41107|
|70-74|3659|5487|12306|<br>22342|30389|38146|40264|<br>40662|
|75+<br>|4550<br>|6751<br>|17481<br>|<br>44056<br> <br>|73625<br> <br>|99229<br>|118025<br> <br>|<br>124128<br> <br>|
|TOTAL|226459|303508|446127|<br>581001|<br>671439|723471|<br>745479|<br>753159|
|BIRTH RATE||27.0|21.3|17.0|13.9|12.5|11.9|11.8|
|DEATH RATE||7.3|6.1|6.7|8.2|9.7|10.9|11.4|
|NETMIGRA|TION<br>RATE|-. 5|-. 1|.0|.0|.0|.0|.0|
|GROWTH<br>RAT|E|1.93|1.53|1.05|.57|.29|.11|.04|
|TOTAL FERT<br>|ILITY<br>|3.386|2.739|2.393|2.092<br>|2.062<br>|2.059<br>|2.058<br>|
|etO)- BOT|H SEXES|68.13|73.53|78.55|81.77|83.60|85.05|85.63|
|INR- BOTH|SEXES|52.9|27.5|7.3|3.6|2.8|2.2|2.1|
40 WORLD, GEOGRAPHIC REGIONS, AND INCOME GROUPS

# HIGH-INCOME ECONOMIES

Population Projection (thousands)

|AGE GROUP<br>1985|1990|<br>1995|2000|2005|2010|2015|<br>2020|<br>2025|<br>2030|
|---|---|---|---|---|---|---|---|---|---|
|TOTAL M+F<br>795905<br>|821755|847354|869349|888513|90388O|916367|<br>927101|<br>935661|<br>941463|
|MALES<br>||||||||||
|0-4<br>27688|<br>27851|<br>28575|27857|27412|27172|2726|27580|27774|<br>2760|
|5-9<br>27939<br> <br>|27971|28073|28720|27954|27471|27198|27304|<br>27572|<br>27748|
|10-14<br>30301<br> <br>|28152<br>|28141<br>|28188<br>|28799<br>|28006<br>|27500|27216|27310|27566|
|15-19<br>32324<br> <br>|30481<br>|28294<br>|28229<br>|28243<br>|28825<br>|28012|27496|27202|27286|
|20-24<br>33724<br> <br>|32670<br>|30748<br>|28462<br>|28329<br>|28287<br>|28820|27986|27448|27132|
|25-29<br>32390<br> <br>|34193<br>|33024<br>|30965<br>|28596<br>|28385<br>|28278|28774|27908|27340|
|30-34<br>31032<br> <br>|32774<br>|34464|33176|31050|28627|28362|<br>28227|28694|27805|
|35-39<br>29909<br> <br>|31244<br>|32907<br>|34504<br>|33173<br>|<br>31014<br>|28564<br>|28281|28128|28576|
|40-44<br>24900<br>|29906|31194|32796|34359|33013|30849|28407|28116|27956|
|45-49<br>22822<br> <br>|24679<br>|29615<br>|30879<br>|32471<br>|34016<br>|32689|30559|28148|27868|
|50-54<br>21238<br>|22305|24159|29016|30291|31869|33408|32133|30065|27714|
|55-59<br>20212<br> <br>|20380<br>|21489<br>|23348<br>|28122|29394|30969|32519|31332|29365|
|60-64<br>17564<br> <br>|18889<br>|19191<br>|20360|22242|26863|28150|29743|31330|30281|
|65-69<br>12825<br> <br>|15756<br> <br>|<br>17148<br>|17609<br>|18852<br>|20693|25115|26435|28069|29723|
|70-74<br>11305<br>75+<br>14147|<br>10762<br> <br>15710|13452<br>16652|14905<br>|15545<br>|16781<br>|18568<br>|<br>22717<br>|24091<br>|25789<br>|
|<br> <br> <br>|<br> <br>|<br>|19631<br>|23139|26035|28908|32420|38433|43943|
|TOTAL<br>390320<br>|403723|417124|428645|438577|446451|452686|457798|461620|463951|
|FEMALES<br>||||||||||
|0-4<br>26268<br> <br>|26481<br>|27154|26463|26034|25802|25915|26181|26360|26437|
|5-9<br>26493<br> <br>|26573<br>|26723<br>|27317|26575|26105|25840|25934|26181|26342|
|10-14<br>28714<br> <br>|26n2<br>|26757<br>|26849<br>|27406<br>|26635|26142|25863|25944|26178|
|15-19<br>307S4<br>|28963|26919|26894|26945|27468|26671|26163|25869|25935|
|20-24<br>32589<br> <br>|31222<br>|29331<br>|27180<br>|27076<br>|27065<br>|27535<br>|26709<br>|26172|25849|
|25-29<br>31502|33134|31648|29631|27390|27212|27138|27572|26712|26141|
|30-34<br>30379<br> <br>|31892<br>|33429<br>|31850<br>|29768<br>|27475<br>|27250<br>|27151<br>|27558<br>|26674|
|35-39<br>29429<br>|30589|32041|33514|31899|29787|27471|27232|27117|27510|
|40-44<br>24707<br>|29455|30586|32006|33459|31836|29721|27409|27166|27048|
|45-49<br>22884<br> <br>|24592<br>|29306<br>|30430<br>|31848<br>|33295<br>|31686<br>|29590|27294|27058|
|50-54<br>21677<br> <br>|22628<br>|24336|29019|30155|31572|33022|31444|29381|27115|
|55-59<br>21519<br> <br>|21267<br>|22239<br>|23959|28612|29755|31180|32644|31115|29104|
|60-64<br>20797<br>|208n|20697|21709|23454|28053|29217|30664|32157|30704|
|65-69<br>16188<br> <br>|19782<br>|19974<br>|19919<br>|20998<br>|22746|27279|28484|29975|31525|
|70-74<br>15781<br> <br>|14837<br>|18327<br>|18695<br>|18816<br>|19933|21695|26144|27422|28994|
|75+<br>25905<br>TOTAL<br>405585|29023<br>418032|30761<br>430230|35269<br>440704|39502<br>449935|42691<br>457430|45917<br>|50121<br>|57617<br>|64897<br>|
|<br>||||||463681|469303|474041|477512|
|BIRTH RATE<br>|13.5|13.4<br>|12.7<br>|12.2<br>1|1.9<br>1|1.8|11.7|11.7|11.6|
|DEATH<br>RATE<br>|8.9<br>|8.7|8.5|8.5|8.9|9.3|9.6|9.9|10.4|
|RATE OFNAT.INC.<br>|.46|.47|.42|.37|.30|.25|.21|.17|.12|
|**NET**MIGRATION<br>RATE|1.8|1.4|1.0|.7|.5|.3|.2|.1|.0|
|GROWTH<br>RATE|.64|.61|.51|.44|.34|.27|.23|.18|.12|
|TOTALFERTILITY1<br>|.n8<br>1.|786<br>1|.797<br>1.|846<br>1.|896<br>1.|942<br>1|.982<br>2|.019<br>2|.054|
|NRR<br> <br> <br>|.837<br> <br>|.855<br>.|860<br>.|886<br>.|913<br>.|937|.957|.975|.993|
|eCO)<br>- BOTH SEXES7<br>|6.14<br>7<br> <br>|7.22<br>7<br> <br>|8.27<br>79<br> <br>|.26<br>79<br> <br>|.88<br>80<br> <br>|.51<br>8<br> <br>|1.17<br>8<br> <br>|1.85<br>8<br>|2.56|
|**e1S)**- BOTH SEXES6<br>|2.14<br>6<br>|.10<br>6<br>|.06<br>64<br>|.97<br>65<br>|.52<br>66<br>|.09<br>6|6.68<br>6|7.30<br>6|7.93|
|INR- BOTH SEXES<br>|9.2<br> <br>|7.9<br> <br>|6.8<br> <br>|6.0<br> <br>|5.4<br> <br> <br>|4.8<br> <br>|4.2<br> <br>|3.6<br>|3.1|
|qC5)- BOTH SEXES.0|116<br>.|0101<br>.0|088<br>.0|078<br>.0|071<br>.0|064<br>.|0057<br>.0|050<br>|0044|
|DEP. RATIO<br>49.5|48.8|49.8|50.4|51.2|52.2|<br>55.6|<br> <br>59.7|<br>.<br>64.5|69.8|
WORLD, GEOGRAPHIC REGIONS, AND INCOME GROUPS 41 Summary Projection for 25-vear Periods

# **HIGH.INCOME** ECONOMIES

|AGEGROUP|1985|2000|2025|2050|2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL M+F|795905|869349|935661|<br>930089|916408|920866|<br>926274|<br>929183|
|MALES|||||||||
|0-4|27688|27857|2m4|27633|27612|27625|27634|<br>27634|
|5-9|27939|28720|27572|27516|27584|<br>27614|<br>27619|<br>27616|
|10-14|30301|28188|27310|27501|27614|<br>27626|27618|<br>27612|
|15-19|32324|28229|2no2|27649|27648|27615|27598|<br>27594|
|20-24|33724|28462|27448|27747|<br>27602|27550|27544|<br>27549|
|25-29|32390|30965|27908|27563|27451|27447|27470|<br>27483|
|30-34|31032|33176|28694|27291|27272|27361|27405|<br>27416|
|35-39|29909|<br>34504|28128|<br>26932|27173|27315|27346|<br>27348|
|40-44|24900|32796|28116|26701|27215|27256|27251|<br>27247|
|45-49|22822|30879|28148|26792|27179|27093|27078|<br>27088|
|50-54|21238|M216|30065|26966|26763|26734|26778|<br>26823|
|55-59|20212|23348|31332|<br>27236|26102|26206|26364|<br>26440|
|60-64|17564|20360|31330|25988|25172|<br>25576|<br>25817|25897|
|65-69|12825|<br>17609|<br>28069|24916|24072|24790|24986|25057|
|70-74|11305|14905|<br>24091|23323|22781|23478|23634|23734|
|75+|14147|19631|38433|55373|<br>52375|53002|54735|<br>55769|
|TOTAL|390320|428645|461620|457128|451615|454289|456878|458309|
|FEMALES|||||||||
|0-4|26268|26463|26360|26225|26204|26216|26224|26225|
|5-9|26493|27317|26181|26120|26184|26211|26216|26213|
|10-14|28714|26849|25944|26107|26215|26225|26217|26212|
|15-19|30754|26894|25869|26261|26260|26227|26210|26207|
|20-24|32589|27180|26172|26395|26256|26202|26194|26199|
|25-29|31502|29631|26712|26293|26174|26162|26180|26190|
|30-34|30379|31850|27558|26101|26062|26139|26174|26182|
|35-39|29429|33514|27117|25828|<br>26023|26149|26171|26168|
|40-44|24707|32006|27166|25705|<br>26140|26166|26150|26140|
|45-49|22884|30430|27294|25938|26224|26123|26093|26096|
|50-54|21677|29019|29381|26359|26040|25977|26000|26033|
|55-59|21519|23959|31115|27015|25725|25769|25895|25954|
|60-64|20797|21709|32157|26331|25280|25593|25792|25847|
|65-69|16188|19919|29975|26004|24902|25504|25639|25673|
|70-74|15781|18695|27422|25522|24699|25247|25315|25362|
|7s+|25V05|35269|57617|a0757|76404|76665|78928|80175|
|TOTAL|405585|440704|474041|47261|464794|466577|469396|470874|
|BIRTH RATE||13.2|11.8|11.5|11.7|11.8|11.7|11.6|
|**DEATH**RATE||8.7|9.3|11.8|12.3|11.6|11.5|11.5|
|NET MIGRATI|ON<br>RATE|1.4|.3|.0|.0|.0|.0|.0|
|GROWTH RATE||.59|.29|-.02|-.06|.02|.02|.01|
|TOTAL FERTI|LITY|1.773|1.935|2.064|2.064|2.063|2.062|2.062|
|e(0)**-** BOTH|SEXES|77.23|80.55|83.26|84.65|85.41|85.97|86.20|
|<br>IMR**-** BOTH S|EXES|8.0|4.8|2.8|2.3|2.1|2.0|1.9|
42 WORLD, GEOGRAPHIC REGIONS, AND INCOME GROUPS

# NONREPORTING NONMEMBER ECONOMIES

## Poputatfon Projectfon (thousands)

|AGE GROUP|<br>1985||1990|<br>1995|<br>2000|2005|2010|2015|<br>2020|<br>2025|<br>2030|
|---|---|---|---|---|---|---|---|---|---|---|---|
|TOTAL<br>M+F|314169||328200|<br>341073|354230|367424|379976|392064|<br>403338|<br>414129|<br>424325|
|MALES||||||||||||
|0-4|14724||<br>15429|<br>14397|13973|<br>14213|14590|14674|<br>14534|<br>14382|<br>14331|
|5-9|13567||14570|<br>15303|14337|13922|14168|14550|<br>14639|<br>14505|<br>14358|
|10-14|13231||13468|14489|15264|14305|13895|14144|<br>14529|<br>14623|<br>14493|
|15-19|12834||13100|13361|14428|15208|14257|13854|<br>14107|<br>14496|<br>14595|
|20-24|11807||12600|12913|13260|14334|15117|14180|<br>13786|<br>14046|<br>14441|
|25-29|13452||11517|12367|12792|13155|14229|15015|<br>14093|<br>13710|<br>13976|
|30-34|12750||13135|11297|12244|12687|13054|14128|<br>14918|<br>14012|<br>13640|
|35-39|11186||12436|12882|11163|12126|12574|12947|<br>14023|<br>14821|<br>13932|
|40-44|7609||10866|12152|12674|11015|11978|12433|<br>12814|<br>1389|4<br>14701|
|45-49|7788||<br>7329|<br>10536|11860|12414|10808|1177|2<br>12237|<br>12631|<br>13717|
|50-54|8697||7404|7010|10139|11470|12035|10506|<br>11471|<br>11952|<br>12366|
|55-59|7101||8078|6925|6601|9607|10912|11496|<br>10081|<br>11051|<br>11560|
|60-64|6153||6360|7293|<br>6305|6065|8881|10156|<br>10771|<br>9513|<br>10496|
|65-69|3013||5211|5443|6306|5524|5373|7940|<br>9171|<br>9822|<br>8767|
|70-74|2076||2343|4094|4344|5118|4560|4509|<br>6754|<br>7915|<br>8597|
|75+|2995||2735|<br>2811|4175|5242|6403|6764|<br>6983|<br>9012|<br>11470|
|TOTAL|148983||156581|163272|169864|176405|182835|189068|<br>194912|<br>200384|<br>205439|
|FEMALES||||||||||||
|0-4|14359||14803|13800|13383|13601|13959|14036|<br>1389|8<br>13748|<br>13696|
|5-9|13123||14229|14700|13760|13349|13572|13934|<br>14015|<br>1388|2<br>13737|
|10-14|12840||<br>13044|14168|14681|13744|13336|13561|<br>13925|<br>14009|<br>13879|
|15-19|12250||12747|12975|<br>14147|14662|13728|<br>13323|<br>13551|<br>13917|<br>14003|
|20-24|11619||12091|12629|12948|14121|14638|13708|<br>13306|<br>13535|<br>13903|
|25-29|13288||11431|11953|12598|12920|14093|14611|<br>13684|<br>13285|<br>13516|
|30-34|12681||13118|11313|11918|12566|12889|14062|<br>14581|<br>13659|<br>13262|
|35-39|11327||12533|13005|11269|11879|12527|12853|<br>14025|<br>14546|<br>13629|
|40-44|7842||11191|12419|12932|11215|11825|<br>12475|<br>12803|<br>1397|5<br>14499|
|45-49|8507||7723|<br>11062|12313|12837|11137|11749|<br>12401|<br>1273|4<br>13907|
|50-54|9856||8335|7595|10917|12174|12700|11025|<br>11639|<br>12293|<br>12633|
|55-59|8792||9568|<br>8135|7444|10731|11980|12510|<br>10871|<br>11490|12150|
|60-64<br>|9338<br>||8394<br>|9215|7885|7253|10475|<br>11716|<br>12256|<br>10670|<br>11299|
|65-69|6085||8654|7894|8764|7565|6983|10118|<br>11353|<br>11914|<br>10406|
|70-74|4775||5334|7786|7242|8166|7090|6584|9596|<br>10829|11427|
|75+<br>|8505<br>||8425<br>|9150<br>|12164<br>|14235<br>|16208<br>|16732<br>|<br>16521<br>|<br>19259<br>|<br>22941<br>|
|TOTAL|165186||171620|177801|184366|191019|197141|202996|208425|213745|218886|
|BIRTH RATE||1|9.4|17.3|16.0<br>1|5.7<br>1|5.5|15.1|14.4|13.9|13.5|
|DEATH RATE|||9.6|8.9|8.4<br>|8.3|8.8|8.8|8.8|8.6|8.6|
|RATEOF NAT|. INC.||.97|.84|.76|.73|.67|.63|.57|.53|.49|
|NET MIGRAT|ION<br>RATE|-|1.0|-.7|**-.0**|-.0|-.0|-.0|.0|.0|.0|
|GROWTH<br>RATE|||.87|.77|.76|.73|.67|.63|.57|.53|.49|
|TOTAL FERTI|LITY2|.|557<br>2|.371<br>2|.252<br>2.|199<br>2.|154<br>2|.105<br>|2.077<br>|2.069|2.066|
|NRR|1|.|217<br>|1.124<br>1|.070<br>1.|049<br>1.|032<br>1|.011<br>|1.000|.999|1.000|
|**etO)**- BOTH|SEXES7|0|.55<br>7|2.28<br>7|3.89<br>75|.41<br>76|.26<br>7|7.14<br>|78.08<br>|79.06<br>|80.09|
|e05)<br>- BOT|HSEXES5|7|.64<br>5|9.13<br>6|0.51<br>61|.81<br>62|.50<br>6|3.23<br>|63.99<br>|64.80<br>|65.65|
|**IMR**- BOTH S<br>|EXES<br>|2<br>|3.6<br> <br>|20.3<br> <br>|17.0<br>1<br>|4.1<br>1|2.2<br> <br>|10.3<br>|8.4|6.6<br>|4.7|
|q(5)- BOTH|SEXES.|0|286<br>.|0246<br>.|0207<br>.0|173<br>.0|151<br>.|0128<br>|.0107|.0085|.0063|
|<br>DEP. RATIO|<br>53.3||56.3|<br>57.1|<br>56.9|54.1|52.1|54.0|56.7|59.1|59.4|
WORLD, GEOGRAPHIC REGIONS, AND INCOME GROUPS 43 Summary Projection for 25-Year Periods

# NONREPORTING NONMEMBER ECONOMIES

|AGEGROUP<br>1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTAL N+F<br>314169<br>|<br>354230|<br>414129|<br>452441|<br>470459|<br>478681|<br>48370|5<br>486150|
|MALES<br>0-4<br>|<br>|<br>|<br>|<br>|<br>|<br>||
|<br>14724<br> <br>|<br>13973<br> <br>|<br>14382<br> <br>|<br>14478<br> <br>|<br>14478<br> <br>|<br>14466<br>|<br>14462|<br>14461|
|5-9<br>13567<br> <br>|<br>14337<br> <br>|<br>14505<br> <br>|<br>14500<br> <br>|<br>14463<br>|<br>14449|<br>14449|<br>14451|
|10-14<br>13231<br> <br>|<br>15264<br> <br>|<br>14623<br> <br>|<br>14466<br> <br>|<br>14436<br>|<br>14439|<br>14447|<br>14449|
|15-19<br>12834<br>22<br>|<br>14428<br> <br>|<br>14496<br> <br>|<br>14357<br> <br>|<br>14400<br> <br>|<br>14429<br> <br>|<br>14441<br>|<br>14442|
|0-4<br>11807<br> <br>|<br>13260<br> <br>|<br>14046<br> <br>|<br>14240<br> <br>|<br>14373<br> <br>|<br>14412<br>|<br>14419|<br>14419|
|25-29<br>13452<br> <br>|<br>12792<br>|<br>13710|<br>14221|<br>14362|<br>14380|<br>14379|<br>14380|
|30-34<br>12750<br> <br>|<br>12244<br> <br>|<br>14012<br>|<br>14297|<br>14344|<br>14331|<br>14331|<br>14338|
|35-39<br>11186<br> <br>|<br>11163<br> <br>|<br>14821<br>|<br>14348|<br>14257|<br>14258|<br>14281|<br>14299|
|40-44<br>7609<br> <br>|<br>12674<br> <br>|<br>13894<br> <br>|<br>14142<br>|<br>14080|<br>14166|<br>14223|<br>14248|
|45-49<br>7788<br> <br>|<br>11860<br> <br>|<br>12631<br> <br>|<br>13605<br>|<br>13883|<br>14070|<br>14145|<br>14168|
|50-54<br>8697<br> <br>|<br>10139<br> <br>|<br>11952<br>|<br>13098|<br>13715|<br>13934|<br>14002|<br>14024|
|55-59<br>7101<br> <br>|<br>6601<br> <br>|<br>11051<br> <br>|<br>13073<br> <br>|<br>13532<br> <br>|<br>13703<br>|<br>13766|<br>13802|
|60-64<br>6153<br> <br>|<br>6305<br> <br>|<br>9513<br> <br>|<br>13318<br> <br>|<br>13195<br> <br>|<br>13300<br>|<br>13414|<br>13488|
|65-69<br>3013<br> <br>|<br>6306<br> <br>|<br>9822<br> <br>|<br>11767<br> <br>|<br>12439<br> <br>|<br>12655<br>|<br>12896|<br>13024|
|70-74<br>2076<br>|<br>4344|<br>7915|<br>9723|<br>11133|<br>11747|<br>12143|<br>12318|
|75.<br>2995<br> <br>|<br>4175<br>|<br>9012<br>|<br>16671<br>|<br>22800|<br>25819|<br>27652|<br>28547|
|TOTAL<br>148983<br>|169864|200384|220304|229887|234558|237451|<br>238858|
|FEMALES<br> <br>|<br>|<br>|<br>|||||
|0-4<br>14359<br> <br>|<br>13383<br>|<br>13748|<br>13820|<br>13813|<br>13798|<br>13793|<br>13792|
|5-9<br>13123<br> <br>|<br>13760<br> <br>|<br>13882<br>|<br>13850|<br>13803|<br>13786|<br>13784|<br>13785|
|10-14<br>12840<br> <br>|<br>14681<br> <br>|<br>14009<br> <br>|<br>13828<br> <br>|<br>13780<br>|<br>13778|<br>13783|<br>13785|
|15-19<br>12250<br> <br>|<br>14147<br> <br>|<br>13917<br> <br>|<br>13742<br>|<br>13754|<br>13777|<br>13785|<br>13785|
|20-24<br>11619<br> <br>|<br>12948<br> <br>|<br>13535<br> <br>|<br>13669<br>|<br>13755|<br>13783|<br>13784|<br>13782|
|25-29<br>13288<br> <br>|<br>12598<br> <br>|<br>13285<br> <br>|<br>13705<br>|<br>13789|<br>13788|<br>13778|<br>13775|
|30-34<br>12681<br> <br>|<br>11918<br>|<br>13659|<br>13828|<br>13814|<br>13776|<br>13764|<br>13766|
|35-39<br>11327|<br>11269|<br>14546|<br>13932|<br>13774|<br>13740|<br>13747|<br>13756|
|40-44<br>7842<br> <br>|12932|<br>13975|<br>13808|<br>136616|<br>13698|<br>13733|<br>13746|
|45-49<br>8507<br> <br>|12313|<br>12734|<br>13387|<br>13563|<br>13676|<br>13721|<br>13730|
|50-54<br>9856<br> <br>|10917|<br>12293|<br>13070|<br>13547|<br>13671|<br>13696|<br>13697|
|55-59<br>8792<br> <br>|7444<br>|11490<br>|<br>13329<br>|<br>13592|<br>13638|<br>13638|<br>13643|
|60-64<br>9338<br> <br>|7885|10670|<br>14027|<br>13581|<br>13517|<br>13537|<br>13569|
|65-69<br>6085<br> <br>|8764<br>|11914|<br>13242|<br>13296|<br>13290|<br>13400|<br>13470|
|70-74<br>4775<br> <br>|7242<br>|10829<br>|<br>11723<br> <br>|<br>12629<br>|<br>12992|<br>13219|<br>13319|
|75.<br>8505<br> <br>|12164<br> <br>|19259<br> <br>|<br>29178<br> <br>|<br>36416<br>|<br>39413|<br>41090|<br>41893|
|TOTAL<br>165186|<br>184366|<br>213745|<br>232137|<br>240572|<br>244123|<br>246254|<br>247293|
|BIRTH RATE|17.5|14.9|13.0|12.2|11.9|11.8|11.7|
|DEATH RATE|9.0|8.6|9.5|10.7|11.2|11.3|11.5|
|NET MIGRATION<br>RATE<br> <br>|-.6<br>|-.0<br>|.0|.0|.0|.0|.0|
|GROWTH<br>RATE<br>|.80<br>|.62|.35|.16|.07|.04|.02|
|TOTAL FERTILITY<br>|2.389<br>|2.120<br>|2.064<br>|2.060<br>|2.058<br>|2.057|2.057|
|e(O) BOTH SEXES|72.29|77.25|81.24|83.48|84.71|85.63|85.99|
|IMR- BOTH SEXES|20.4|10.3|4.0|2.8|2.4|2.1|2.0|
# LATIN AMERICA AND THE CARIBBEAN REGION

(and Northern America)
**46** BANK REGION AND COUNTRY DEPARTMENTS

# LAnN AMERICA AND THE CARIBBEAN

|Population Projectfon(thousands)|
|---|

|AGE GRWUP|<br>1985|<br>1990|<br>1995|<br>2000|<br>2005|<br>2010|<br>2015|<br>2020|<br>202|5<br>2030|
|---|---|---|---|---|---|---|---|---|---|---|
|TOTAL**M+F**|399445|440766|483233|524032|562470|600038|<br>637907|<br>674790|709350|<br>741083|
|MALES|||||||||||
|0-4<br>|27401|28555|28951|28215|27203|27275|28052|<br>28388|28157|<br>27794|
|5-9|25104|26927|28171|28635|27966|27006|27122|<br>27927|28292|<br>28089|
|10-14<br>|23657<br>|24890|26748|28016|28504|27861|26927|<br>27058|27876|<br>28254|
|15-19|21630|23408|24678|26557|27849|28360|27745|<br>26829|26974|<br>27806|
|20-24<br>|19511<br>|21203|23051|<br>24366|<br>26285|<br>27612|<br>28162|<br>27573|<br>26683|<br>26850|
|25-29|16310|18989|20775|22679|24050|26008|27379|27951|27392|<br>26533|
|30-34|13730|15851|18599|20433|22382|23791|25783|27169|27764|<br>27234|
|35-39|11048|<br>13341|<br>15511|<br>18282|<br>20151|<br>22124|23561|25562|2696|4<br>27581|
|40-44|9035|<br>10709|<br>13021|<br>15201|<br>17980|<br>19861|<br>21845|<br>23290|<br>2529|6<br>26713|
|45-49|7642|<br>8711|<br>10383|<br>12676|<br>14850|<br>17607|<br>19487|<br>21467|<br>2291|8<br>24928|
|50-54|6451|<br>7284|<br>8340|<br>9978|<br>12226|<br>14362|<br>17074|<br>18942|<br>2091|4<br>22375|
|55-59|5494|<br>6018|<br>6822<br>|<br>7842|<br>9421|<br>11590|<br>13668|<br>16313|<br>1816|8<br>20135|
|60-64<br>|4348|<br>4955|<br>5449|6208|7174|8669|10728|12726|15281|<br>17121|
|65-69|3229|<br>3719|<br>4262|<br>4720|<br>5421|<br>6319|<br>7698|<br>9603|<br>1148|3<br>13906|
|70-74<br>|2393<br>|<br>2535|<br>2941|<br>3409|<br>3828|<br>4450|<br>5250|<br>6467|<br>815|7<br>9862|
|75.<br>|2612<br>|2799|3027|3470|4134|4859|5777|<br>6976|8682|<br>11099|
|TOTAL<br>|199595|219893|240729|260686|279422|297753|316259|334241|351001|<br>366280|
|FEMALES|||||||||||
|0-4|26578|27517|27866|27125|26118|26163|26884|27179|26934|<br>26561|
|5-9<br>|24481|<br>26161|<br>27191|<br>27603|<br>26921|<br>25961|26046|26792|2711|2<br>26891|
|10-14|23134|24296|26015|27069|27503|26845|25907|26004|26760|<br>27092|
|15-19<br>|21181<br>|22942<br>|24145<br>|25885|26961|27417|26780|25855|25964|<br>26730|
|20-24|19287|20875|22707|23947|25723|26832|27320|26701|25794|<br>25918|
|25-29<br>|16289<br>|18934<br>|20607<br>|22479<br>|23763<br>|25575<br>|26721<br>|27224<br>|26624<br>|<br>25737<br> <br>|
|30-34<br>|13825|15989|18696|20403|22310|23623|25461|26618|27136|<br>26554|
|35-39<br>|11161|13577|15785|18510|20241|22165|23497|25342|26512|<br>27043|
|40-44|9176|10958|<br>13392|<br>15608|<br>18340|<br>20079|<br>22011|<br>23350|<br>25201|<br>26383|
|45-49|7840|<br>8988|<br>10774|<br>13200|<br>15416|<br>18138|<br>19879|<br>21811|<br>23156|<br>25014|
|50-54|6709|7632|8782|10557|12966|15164|<br>17866|<br>19604|<br>21536|<br>22891|
|55-59|5784|<br>6459|<br>7381|<br>8523|<br>10281|<br>12652|<br>14826|<br>17500|<br>1923|6<br>21169|
|60-64|4690|<br>5454|<br>6130|7045|8181|9899|<br>12218|<br>14360|<br>1700|2<br>18743|
|65-69|3602|4257|5003|5679|6590|7693|9358|11609|13714|16321|
|70-74|2790|<br>3054|<br>3670|<br>4390|<br>5064|5932|<br>6989|<br>8576|<br>10733|<br>12790|
|75+<br>TOTAL|3323<br>|3781<br>|4361<br>|5325<br>|6670<br>|8147<br>|9885<br>|12021<br>|14934<br>|18966<br>|
||199850|220873|242504|263347|283048|302284|321647|340549|358349|374804|
|BIRTHRATE||28.4|26.0<br>|23.0<br>|20.4<br>|19.0|18.2|17.3|16.2|15.1|
|DEATH RATE||7.3|6.6|6.1|5.8|5.8|5.8|6.0|6.1|6.4|
|RATE OF NAT|. INC.|2.12|1.94<br>|1.69<br>|1.46<br>|1.32|1.24|1.13|1.00|.88|
|NET MIGRAT|ION<br>RATE|-1.5|-.9|-.7|-.5|-. 3|-. 1|-. 1|-.0|.0|
|GROWTH<br>RATE||1.97|1.84<br>|1.62<br>|1.42<br>|1.29|1.22|1.12|1.00|.88|
|TOTAL FERTI|LITY<br>3|.532<br>3|.116<br>2|.737<br>2|.421<br>2|.261<br>2|.200<br>2|.154<br>2|.114|2.087|
|NRR|1|.581<br>1|.416<br>1|.260<br>1|.126<br>1|.058<br>1|.036<br>|1.021<br>1|.009|1.003|
|eCO)- BOTH <br>|SEXES6<br>|6.83<br>6<br>|8.39<br>6|9.98<br>7|1.56<br>7|2.66<br>7|3.80<br>7|4.99<br>7|6.23|77.53|
|**e(15)**- BOT<br>|HSEXES5<br>|6.69<br>5|7.61<br>5|8.57<br>5|9.60<br>6|0.28<br>6|1.01<br>6|1.76<br>6|2.56<br>|63.40|
|INR- BOTH S<br>|EXES<br> <br>|53.1<br> <br> <br>|46.2<br> <br> <br>|39.0<br> <br>|32.3<br>2|7.4|22.5|17.6|12.7|7.9|
|qC5)- BOTH|SEXES.|0653<br>.|0562<br>.|0472<br>.|0391<br>.|0333<br>.|0275<br>.|0217<br>.|0160|.0102|
|<br>DEP. RATIO|72.8|68.1|63.8|58.6|53.5|49.4|47.7|<br>47.9|<br>48.9|50.2|
BANK REGION AND COUNTRY DEPARTMENTS 47 Su m ry Projection for 25-Year Periods

# LATIN AMERICA AND THE CARIBBEAN

|AGE GROUP|1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL M+F|399445|<br>524032|<br>709350|<br>838581|<br>893748|<br>915957|<br>929020|<br>935392|
|MALES|||||||||
|0-4|27401|<br>28215|<br>28157|<br>28048|<br>27944|<br>27904|<br>27902<br>|<br>27904<br> <br>|
|5-9|25104|<br>28635|<br>28292|<br>27940|<br>27867|<br>27868|<br>27882|<br>27886|
|10-14|23657|<br>28016|<br>27876|<br>27722|<br>27814|<br>27867|<br>27885|<br>27885|
|15-19|21630|<br>26557|<br>26974|<br>27541|<br>27814|<br>27875|<br>27876|<br>27869|
|20-24|19511|<br>24366|<br>26683|<br>27571|<br>27838|<br>27844|<br>27823|<br>27819|
|25-29|16310|<br>22679|<br>27392|<br>27774|<br>27801|<br>27743|<br>27731|<br>27741|
|30-34|13730|<br>204;3|27764|<br>27821|<br>27615|<br>27598|<br>27636|<br>27665|
|35-39|11048|<br>18282|<br>26964|<br>27278|<br>27289|<br>27454|<br>27556|<br>27594|
|40-44|9035|15201|<br>25296|<br>26234|<br>26972|<br>27339|<br>27466|<br>27496|
|45-49|7642|<br>12676|<br>22918|<br>25746|<br>26830|<br>27223|<br>27312|<br>27330|
|50-54|6451|<br>9978|<br>20914|<br>26031|<br>26718|<br>26933|<br>26991|<br>27034|
|55-59|5494|<br>7842|<br>18168|<br>25698|<br>26227|<br>26321|<br>26478|<br>26596|
|60-64|4348|<br>6208|<br>15281|<br>23939|<br>24924|<br>25368|<br>25779|<br>25995|
|65-69|3229|<br>4720|<br>11483|<br>21005|<br>22826|<br>24108|<br>24818|<br>25107|
|70-74|2393|<br>3409|<br>8157|<br>17084|<br>20692|<br>22501|<br>23394|<br>23724|
|75+|2612|<br>3470|<br>8682|<br>25496|<br>42120|<br>48574|<br>52578|<br>54588|
|TOTAL|199595|<br>260686|<br>351001|<br>412929|<br>439291|<br>450521|<br>457107|<br>460235|
|FEMALES|||||||||
|0-4|26578|<br>27125|<br>26934|<br>26757|<br>26644|<br>26604|<br>26601|<br>26603|
|5-9|24481|<br>27603|<br>27112|<br>26677|<br>26578|<br>26577|<br>26588|<br>26592|
|10-14|23134|<br>27069|<br>26760|<br>26489|<br>26532|<br>26579|<br>26594|<br>26593|
|15-19|21181|<br>25885|<br>25964|<br>26356|<br>26549|<br>26600|<br>26598|<br>26590|
|20-24|19287|<br>23947|<br>25794|<br>26463|<br>26623|<br>26614|<br>26586|<br>26579|
|25-29|16289|<br>22479|26624|<br>26779|<br>26674|<br>26585|<br>26559|<br>26563|
|30-34|13825|<br>20403|27136|<br>26934|<br>26577|<br>26510|<br>26527|<br>26547|
|35-39|11161|<br>18510|<br>26512|<br>26524|<br>26348|<br>26434|<br>26508|<br>26535|
|40-44|9176|<br>15608|<br>25201|<br>25654|<br>26157|<br>26410|<br>26499|<br>26514|
|45-49|7840|13200|<br>23156|<br>25370|<br>26181|<br>26426|<br>26471|<br>26467|
|50-54|6709|10557|21536|<br>25989|<br>26356|<br>26383|<br>26372|<br>26383|
|55-59|5784|8523|<br>19236|<br>26182|<br>26300|<br>26144|<br>26193|<br>26263|
|60-64|4690|7045|17002|<br>25149|<br>25600|<br>25714|<br>25968|<br>26119|
|65-69|3602|5679|13714|<br>23274|<br>24328|25227|25725|<br>25927|
|70-74|2790|4390|10733|<br>20438|<br>23359|24757|25377|<br>25594|
|75+<br>|3323<br>|5325<br> <br>|14934<br>|<br>40617<br> <br>|63650<br> <br>|71873<br> <br>|76747<br> <br>|<br>79291<br> <br>|
|TOTAL|199850|<br>263347|358349|<br>425652|<br>454457|<br>465436|<br>471913|<br>475158|
|BIRTH RATE||25.6|18.1|14.1|12.6|12.1|11.8|11.7|
|DEATH RATE||6.6|5.9|7.4|10.0|11.1|11.3|11.5|
|NET MIGRAT|ION<br>RATE|-1.0|-. 2|.0|.0|.0|.0|.0|
|GROUTH<br>RATE||1.81|1.21|.67|.25|.10|.06|.03|
|TOTAL FERTI|LITY|3.096|2.224|2.076|2.064|2.061|2.058|2.058|
|**e(O)-** BOTH|SEXES|68.49|73.99|79.14|82.25|83.95|85.24|85.75|
|IMR BOTH S|EXES|46.2|22.4|6.1|3.3|2.6|2.2|2.1|
4R RANK REGION AND COUNTRY DEPARTMENM

# LATN AMECA AD CABBEAN COUNTRY DEPT. I

Population Projection (thousands)

|AGE GROUP<br>1985|<br>1990|1995|<br>2000||2005|2010|<br>2015|<br>2020|<br>2025|<br>2030|
|---|---|---|---|---|---|---|---|---|---|---|
|TOTAL<br>**M+F**<br>172264|<br>191770|211114|229150||245655|261477|<br>277441|<br>293068|<br>307566|<br>320546|
|MALES|||||||||||
|0-4<br>11807|<br>12589|12588|12044||11426|11443|<br>11917|<br>12183|<br>12099|<br>11868|
|5-9<br>10672<br> <br>|<br>11654<br>|<br>12460<br>|12484<br>||11963<br>|11360|<br>11388|<br>11870|<br>12146|<br>12070|
|10-14<br>9680<br> <br>|10622<br>|11607<br>|12416<br>||12446<br>|11929<br>|<br>11333<br> <br>|<br>11364<br> <br>|<br>11850<br>|<br>12128|
|15-19<br>9003<br> <br>|9619<br>|10561<br>|11549<br>||12361|12394|<br>11885|<br>11294|<br>11330|<br>11819|
|20-24<br>8618<br>|8914|9531|10476||11467|12278|<br>12318|<br>11817|<br>11236|<br>11277|
|25-29<br>7328<br> <br>|<br>8518|8817|9439||10388|11376|<br>12188|<br>12235|11745|<br>11173|
|30-34<br>6197<br> <br>|7238<br>|8420<br>|8727||9354|10301|<br>11289|<br>12103|12157|<br>11678|
|35-39<br>5004|6107|7139|8318||8635|9263|10209|11196|12013|<br>12076|
|40-44<br>3953<br> <br>|4906|5996|7024||8200|8520|9148|10092|11079|<br>11898|
|45-49<br>3386|3840|4774|5849||6869|8031|8356|8984|9925|<br>10911|
|50-54<br>2814<br> <br>|3235|3677|4586||5636|6636|7776|<br>8109|8740|<br>9678|
|55-59<br>2382|2621|3022|3448||4317|5327|6296|7406|7755|<br>8391|
|60-64<br>1858<br> <br>|2138<br>|2361<br>|2735<br>||3136<br>|3950<br>|4904|5831|6901|<br>7270|
|65-69<br>1354<br> <br>|1576<br>|1823<br>|2027<br>||2366<br>|2736|3476|4352|5217|<br>6226|
|70-74<br>989<br> <br>|1048<br>|1228<br>|1435<br>||1619<br>|1913<br>|2238<br>|2877<br>|3643|<br>4418|
|75+<br>1007<br> <br>|1095|1187<br>|1360<br>||1640|1943|2340|2831|3618|<br>4706|
|TOTAL<br>86053<br>|95722|<br>105190|113915||121823|129400|137059|144546|151454|<br>157586|
|FEMALES|||||||||||
|0-4<br>11585<br>|12151|12132|11591||10980|10986|11431|11675|11583|<br>11351|
|5-9<br>10562|11458|12049|12053||11530|10931|10946|11399|11652|<br>11568|
|10-14<br>9615<br>|10524|11426|12021||12030|11511|10916|10934|11389|<br>11644|
|15-19<br>8918<br> <br>|9577<br>|10493<br>|11399||11997|12008|11492|10901|10921|<br>11379|
|20-24<br>8552<br> <br>|8871<br>|9540|10461||11370|11969|11982|11471|10882|<br>10905|
|25-29<br>7313<br> <br>|8496<br>|8830<br>|9507<br>||10432|11340|11940|11955|<br>11447|<br>10862|
|30-34<br>6214<br> <br>|7256|8448|8792||9474|10398|11306|11907|11925|<br>11420|
|35-39<br>5009<br> <br>|6152<br>|7203<br>|<br>8400||8750|9432|10355|11263|11866|<br>11888|
|40-44<br>3965<br> <br>|4944|6091|7144||8342|8694|9375|10297|11206|<br>11811|
|45-49<br>3420<br> <br>|3892<br>|4871<br>|6014||7068|8259|8613|9294|10216|<br>11125|
|50-54<br>2871<br> <br>|3329<br>|3805|4777||5916|6959|8141|8497|9179|10100|
|55-59<br>2458<br> <br>|2756<br>|3217<br>|3695||4659|5778|6809|7977|8339|9022|
|60-64<br>1953<br> <br>|2305<br>|2609|3070||3552|4490|5585|6598|7750|<br>8122|
|65-69<br>1460<br> <br>|1753<br>|2102<br>|2414||2876|3344|4248|5308|6299|7433|
|70-74<br>1103<br> <br>|1211<br>|1494<br>|1837||2156|2591|3037|3891|4902|5864|
|75+<br>1211|1373|1616|2060||2701|3388|4208|5156|6557|8464|
|TOTAL<br>86211|<br>96048|105924|||||<br>||||
|<br>|<br>||115235||123832|132077|<br>140382|148522|15611|162960|
|BIRTH RATE|29.1|26.0<br>|22.6<br>|1|9.7<br>|18.3|17.8|17.1|16.0|14.9|
|DEATH RATE<br>|7.7|6.8|6.2|5|.7|5.8|6.0|6.1|6.4|6.6|
|RATE OF NAT. INC.<br> <br>|2.14|1.92<br>|1.64<br>|1|.39<br>|1.25|1.19|1.10|.97|.83|
|**NET**MIGRATION<br>RATE<br>|.1<br>|.0<br> <br>|.0<br>||.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|2.15|1.92<br>|1.64<br>|1.|39<br>1|.25|1.19|1.10|.97|.83|
|TOTAL FERTILITY3|.579<br>3|.118<br>2|.702<br>2.|3|42<br>2.|165<br>2|.124<br>2|.108<br>2|.092<br>|2.077|
|NRR<br>1<br>|.583<br>1<br>|.409<br>1|.240<br>1.|0|86<br>1.|012<br>1|.000<br>1|.000<br>1|.000<br>|1.000|
|**e(O)**- BOTH SEXES6|5.04<br>6|7.09<br>6|9.08<br>7|1.|00<br>7|2.17<br>7|3.38<br>7|4.63<br>7|5.92<br>|77.26|
|**eC15)-** BOTH SEXES5<br> <br>|5.77<br>5<br> <br>|7.00<br>5<br> <br>|8.23<br>59<br> <br>|.<br>|48<br>60<br> <br>|.15<br>6<br>|0.85<br>6<br>|1.57<br>6<br>|2.33<br>|63.12|
|INR- BOTH SEXES<br> <br>5|61.7<br> <br> <br>|2.9<br> <br> <br>|4.2<br> <br> <br>|6<br>|.3<br>3<br> <br>|0.5<br> <br>|24.8<br> <br>|19.0<br> <br>|13.2<br> <br>|7.5<br>|
|qt) - BOTH SEXES.|749<br>.|632<br>.|524<br>.0|4|31<br>.0|364<br>.|0297<br>.|230<br>.|0163<br>|.0095|
|DEP. RATIO<br>70.2|67.2|63.1|57.6||51.7|47.4|46.0|47.1|48.9|<br>50.6|
BANK REGION AND COUNTRY DEPARTMENIS 49 Summry Projection

# LATIN AERICA AND CARIBEAN COUNTRY DEPT. I

|AGEGROUP<br>1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTALM+F<br>172264<br>|<br>229150|<br>307566|<br>359639|<br>381620|<br>390894|<br>396569|<br>399343|
|MALES<br> <br>|<br>|<br>||||||
|0-4<br>11807<br>|<br>12044|<br>12099|<br>12001|<br>11932|<br>11912|<br>11913|<br>11916|
|5-9<br>10672<br>|<br>12484|<br>12146|<br>11920|<br>11885|<br>11895|<br>1190|6<br>11908|
|10-14<br>9680<br>|<br>12416|<br>11850|<br>11780|<br>11859|<br>11898|<br>1190|9<br>11908|
|15-19<br>9003|<br>11549|<br>11330|<br>11699|<br>11874|<br>11908|<br>1190|6<br>11901|
|20-24<br>8618|<br>10476|<br>11236|<br>11770|<br>11908|<br>11897|<br>11881|<br>11878|
|25-29<br>7328<br> <br>|<br>9439<br>|<br>11745|<br>11931|<br>11892|<br>11845|<br>11838|<br>11844|
|30-34<br>6197<br>|<br>8727|<br>12157|<br>11939|<br>11777|<br>11769|<br>11795|<br>11812|
|35-39<br>5004<br>|<br>8318|<br>12013|<br>11592|<br>11592|<br>11703|<br>11764|<br>11784|
|40-44<br>3953|<br>7024|<br>11079|<br>11016|<br>11452|<br>11668|<br>11731|<br>11743|
|45-49<br>3386<br>|<br>5849|<br>9925|<br>10837|<br>11447|<br>11641|<br>11667|<br>11669|
|50-54<br>2814|<br>4586|<br>8740|<br>11150|<br>11467|<br>11515|<br>11520|<br>11538|
|55-59<br>2382|<br>3448|<br>7755|<br>11225|<br>11240|<br>11217|<br>11286|<br>11348|
|60-64<br>1858<br> <br>|<br>2735<br> <br>|<br>6901<br>|<br>10610|<br>10568|<br>10763|<br>10981|<br>11093|
|65-69<br>1354<br> <br>|<br>2027<br>|<br>5217|<br>9110|<br>9549|<br>10216|<br>10581|<br>10717|
|70-74<br>989<br> <br>|<br>1435<br> <br>|<br>3643<br> <br>|<br>7263<br>|<br>8654|<br>9570|<br>9988|<br>10124|
|75+<br>1007<br> <br>|<br>1360<br> <br>|<br>3618<br>|<br>10346|<br>17897|<br>20568|<br>22318|<br>23214|
|TOTAL<br>86053|<br>113915|<br>151454|<br>176190|<br>186993|<br>191983|<br>194984|<br>196397|
|FEMALES||||||||
|0-4<br>11585|<br>11591|<br>11583|<br>11452|<br>11378|<br>11358|<br>11358|<br>11360|
|5-9<br>10562|<br>12053|<br>11652|<br>11387|<br>11337|<br>11344|<br>11353|<br>11356|
|10-14<br>9615|<br>12021|<br>11389|<br>11266|<br>11315|<br>11349|<br>11358|<br>11357|
|15-19<br>8918<br>|<br>11399|<br>10921|<br>11208|<br>11338|<br>11365|<br>11361|<br>11355|
|20-24<br>8552|<br>10461|<br>10882|<br>11315|<br>11393|<br>11373|<br>11354|<br>11349|
|25-29<br>7313<br>|<br>9507|<br>11447|<br>11525|<br>11417|<br>11353|<br>11339|<br>11342|
|30-34<br>6214|<br>8792|<br>11925|<br>11583|<br>11345|<br>11309|<br>11323|<br>11336|
|35-39<br>5009|<br>8400|<br>11866|<br>11298|<br>11206|<br>11273|<br>11319|<br>11333|
|40-44<br>3965|<br>7144|<br>11206|<br>10803|<br>11124|<br>11279|<br>11322|<br>11325|
|45-49<br>3420|<br>6014|<br>10216|<br>10716|<br>11195|<br>11310|<br>11313|<br>11303|
|50-54<br>2871|<br>4777|<br>9179|<br>11186|<br>11345|<br>11294|<br>11263|<br>11264|
|55-59<br>2458|<br>3695|<br>8339|<br>11517|<br>11313|<br>11162|<br>11175|<br>11211|
|60-64<br>1953|<br>3070|<br>7750|<br>11265|<br>10910|<br>10940|<br>11077|<br>11154|
|65-69<br>1460|<br>2414|<br>6299|<br>10357|<br>10254|<br>10733|<br>10989|<br>11079|
|70-74<br>1103<br>|<br>1837|<br>4902|<br>9016|<br>9882|<br>10594|<br>10864|<br>10941|
|75+<br>1211<br> <br>|<br>2060<br>|6557|<br>17556|<br>27874|<br>30876|<br>32818|<br>33881|
|TOTAL<br>86211|<br>115235|<br>156112|<br>183449|<br>194627|<br>198911|<br>201585|<br>202946|
|BIRTH RATE|25.7|17.7|13.9|12.5|12.1|11.8|11.7|
|DEATH RATE|6.9|6.0|7.7|10.2|11.1|11.3|11.4|
|NET MIGRATION<br>RATE|.0|.0|.0|.0|.0|.0|.0|
|GROWTH RATE|1.90|1.18|.63|.24|.10|.06|.03|
|TOTAL FERTILITY<br>|3.096|2.161|2.0n|2.064|2.061|2.058|2.058|
|e(O)- BOTH SEXES|67.20|73.56|78.93|82.15|83.90|85.22|85.73|
|IMR- BOTH SEXES|53.1|24.6|_5.9_|3.3|2.6|2.2|2.1|
50 BANK REGION AND COUNTRY DEPARTMENTS

# _LATIN AMlltE_ CA _AND_ CARIBBEAN COUNTRY DEPT. II

Population Projection (thousands)

|AGE GROUP|<br>1985|<br>1990|<br>199|5<br>2000|2005|<br>2010|2015|2020|202|5<br>2030|
|---|---|---|---|---|---|---|---|---|---|---|
|TOTAL M+F<br>|103578|<br>114747|<br>12731|1<br>139871|15183|8<br>163646|<br>175680|187435|19853|9<br>208969|
|MALES|||||||||||
|0-4|7791|<br>8007|<br>8375|<br>8334|7999|<br>7963|8148|<br>8222|813|5<br>8071|
|5-9<br>|7141<br>|<br>7601<br>|<br>7871|<br>8264|8248|<br>7936|7921|8115|819|8<br>8119|
|10-14<br>|7101<br>|<br>7039<br> <br>|<br>752<br> <br>|9<br>7810<br>|8214|<br>8212|7913|7904|810|2<br>8190|
|15-19<br>|6083<br>|<br>6985<br> <br>|<br>6957<br> <br>|<br>7458<br> <br>|7752|<br>8168|8179|7887|788|2<br>8084|
|20-24<br>|4988<br>|<br>5867<br> <br>|<br>6832<br>|<br>6832|7357|<br>7674|8113|8131|784|7<br>7849|
|25-29<br>|4037<br>|<br>4717<br> <br>|<br>5680<br> <br>|<br>6673<br> <br>|6709<br>|<br>7263<br>|<br>7610|8055|808|1<br>7806|
|30-34<br>|3246|<br>3801|<br>4555|<br>5541|6559|<br>6623|7202|<br>7555|800|4<br>8038|
|35-39|2471|<br>3062|<br>3671|<br>4442|5444|<br>6476|6562|7144|750|2<br>7956|
|40-44|2120|<br>2330|<br>2955|<br>3574|4355|<br>5361|6399|6491|707|5<br>7438|
|45-49<br>|1729<br>|<br>2008<br> <br>|<br>2240<br> <br>|<br>2865<br> <br>|3486|<br>4264|5266|6295|639|5<br>6980|
|50-54|1438|<br>1631|<br>1915|<br>2149|2763|<br>3375|4143|5128|614|3<br>6253|
|55-59|1165|<br>1334|<br>1526|<br>1800|2032|<br>2625|3222|3969|493|0<br>5928|
|60-64<br>|901<br>|1049<br>|<br>1208<br>|<br>1389<br> <br>|1651<br>|<br>1876<br> <br>|2440|3013|373|4<br>4665|
|65-69<br>|633<br>|770<br>|903<br>|<br>1049<br> <br>|1219<br>|<br>1462<br>|1676|2199|273|8<br>3420|
|70-74<br>|477<br>|497<br>|611<br>|<br>728<br> <br>|859|<br>1010|1226|1422|188|7<br>2376|
|75+<br>|551<br>|564<br> <br>|603<br> <br>|<br>722<br>|891|<br>1092|1329|1643|199|8<br>2589|
|TOTAL<br>|51872|<br>57263|<br>63431|<br>69630|75538|<br>81381|87350|93171|9864|7<br>103760|
|FEMALES<br>|||||||||||
|0-4|7494|<br>7708|<br>8054|<br>8006|7675|<br>7633|7802|7865|777|3<br>7704|
|5-9|6883|7320|7588|<br>7957|7933|<br>7624|7601|7777|7848|<br>7763|
|10-14|6867|6790|7257|<br>7537|7918|<br>7905|7608|7590|7769|<br>7843|
|15-19<br>|5902<br>|6771|6726|<br>7203|7495|<br>7887|7887|7594|7579|<br>7762|
|20-24<br>|4927<br>|5740|6664|<br>6636|7135|<br>7447|7860|7865|7578|<br>7568|
|25-29<br>|4040<br>|4741<br>|5618<br>|<br>6558<br> <br>|6557<br>|<br>7079<br> <br>|7416|7834|7845|<br>7564|
|30-34<br>|3293<br>|3892<br>|4641|<br>5531|6490|<br>6508|7048|7388|7810|<br>7827|
|35-39<br>|2539<br>|3184<br>|3815<br>|<br>4572<br> <br>|5473<br>|<br>6442<br> <br>|6475|7017|7361|<br>7787|
|40-44|2203|2465|3125|<br>3760|4523|<br>5427|6400|6436|6980|<br>7328|
|45-49<br>|1821<br>|2146<br>|2416<br>|<br>3075<br> <br>|3711|<br>4472|5375|6345|6386|<br>69S|
|50-54|1522|1769|2095|<br>2365|3019|<br>3651|4407|5304|6269|<br>6317|
|55-59<br>|1241<br>|1467<br>|1712|<br>2034|2304|<br>2948|3572|4320|5209|<br>6168|
|60-64<br>|995<br>|1174|1394|<br>1635|1953|<br>2219|2849|3464|4203|<br>5082|
|65-69<br>|719<br>|909|1080|<br>1294|1531|<br>1839|2101|2712|3314|<br>4042|
|70-74|563<br>|616|789|950|1154|<br>1379|1673|1929|2514|<br>3101|
|75.|697|792|905|1129|1431|<br>1805|2255|2823|3454|<br>4421|
|TOTAL|51706|57484|63880|<br>70242||<br>||<br>|<br>|<br><br> <br>|
|||||<br>|76300|<br>82265|88329|94263|99892|<br>105210|
|BIRTH RATE||30.6|28.6|25.5<br>2|2.3|20.4<br>|19.2<br>1|8.0<br>1|6.7|15.6|
|DEATH RATE<br>|<br>|6.2|5.6|5.1<br>|4.8|4.8|4.9|5.0|5.1|5.4|
|RATE OF NAT<br>|. INC.<br> <br>|2.45<br>|2.30|2.04<br>1|.75|1.56<br>|1.-4<br>1|.31<br>1|.16|1.02|
|NET MIGRAT<br>|ION<br>RATE|-4.0|-2.2|-1.6<br>-1|.0|-. 6|-. 2|-.1|-.1|.0|
|GROUTH<br>RATE||2.05<br>|2.08|1.88<br>1.|64|1.50<br>1|.42<br>1|.30<br>1|.15|1.02|
|TOTAL FERTI|LITY<br>3|.882<br>3|.398<br>|2.948<br>2.5|60<br>|2.363<br>2.|271<br>2.|188<br>2.|111|2.076|
|NRR<br>|1<br>|.756<br>1<br>|.554<br>|1.360<br>1.1|96<br>|1.114<br>1.|076<br>1.|042<br>1.|011|1.000|
|eCO)**-** BOTH<br> <br>|SEXES6<br>|7.93<br>6<br> <br>|9.33<br> <br> <br>|70.80<br>72.<br> <br>|31<br> <br>|73.37<br>74|.47<br>75|.63<br>76|.84|78.10|
|e(5)<br>- BOT<br>|H SEXES 5<br> <br>|7.41<br>5<br> <br>|8.17<br> <br>|59.04<br>60.<br> <br>|02<br>6<br>|0.71<br>61<br>|.44<br>62|.20<br>63|.00|63.84|
|IHR - BOTH S<br>C5<br>|EXES<br> <br>|47.8<br> <br> <br>|40.9<br> <br>|34.4<br>2<br> <br>|.4<br> <br>|24.0<br>1<br> <br>|9.5<br>1<br> <br>|5.1<br>1<br> <br>|0.7<br>|6.4<br>|
|q)<br>- BOT|EXES .|590<br>.|502<br>.|0418<br>.03|44<br>.|0293<br>.0|239<br>.0|187<br>.0|134|.0083|
|DEP. RATIO|82.8|73.5|68.1|62.5|56.9|51.8|48.3|47.3|47.3|47.9|
BANK REGION AND COUNTRY DEPARTMENIS 51 Sury Projection LATIN AMERICA AND CARIBBEAN COUNTRY DEPARTMENT II

|AGE GROUIP|<br>1985|<br>2000|2025|2050|2075|2100|2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL M+F|103578|<br>139871|198539|<br>241990|260258|<br>266546|270133|<br>271887|
|MALES|||||||||
|0-4|7791|8334|8135|8134|8116|8107|8106|8106|
|5-9|7141|8264|8198|8118|<br>8101|8098|8100|8100|
|10-14|7101|7810|8102|8081|8089|8097|8100|8100|
|15-19|6083|7458|7882|8043|8084|8096|8096|8095|
|20-24|4988|6832|7847|8014|8080|8085|8082|8081|
|25-29|4037|6673|8081|8036|8065|8060|8057|8059|
|30-34|3246|5541|8004|8073|8027|8025|8031|8037|
|35-39|2471|4442|7502|7940|7959|7987|8007|8016|
|40-44|2120|3574|7075|7679|7881|7949|7978|7987|
|45-49|1729|2865|6395|7588|7805|7905|7933|7940|
|50-54|1438|2149|6143|7701|m9|7819|7844|7857|
|55-59|1165|1800|4930|7441|7624|7659|7704|7732|
|60-64|901|1389|3734|<br>6705|7276|<br>7411|7507|7559|
|65-69|633|1049|2738|<br>5939|6714|7062|7226|<br>7300|
|70-74|477|728|1887|4849|6148|<br>6573|<br>6808|6901|
|75+|551|722|<br>1998|7295|12457|14278|15383|15938|
|TOTAL|51872|<br>69630|98647|119634|128166|131210|132962|<br>133808|
|FEMALES|||||||||
|0-4|7494|8006|7773|<br>7756|<br>7737|<br>7729|<br>7728|<br>7727|
|5-9|6883|7957|7848|7746|7725|<br>7722|<br>7724|<br>7724|
|10-14|6867|7537|7769|7715|7715|<br>7721|<br>7724|<br>7724|
|15-19|5902|7203|7579|7687|7714|7724|<br>7725|<br>7723|
|20-24|4927|6636|7578|7680|7724|7726|<br>7722|<br>7721|
|25-29|4040|6558|7845|m5|m3|7721|7716|7716|
|30-34|3293|5531|7810|7803|7718|7705|7708|7712|
|35-39|2539|4572|<br>7361|<br>7708|7675|7687|7701|7707|
|40-44|2203|3760|6980|7498|7630|7675|7695|7700|
|45-49|1821|3075|6386|7464|7600|7668|7685|7688|
|50-54|1522|2365|6269|7670|7616|7651|7660|7665|
|55-59|1241|2034|5209|7551|7624|7595|7615|7632|
|60-64|995|<br>1635|4203|6999|7447|7494|7554|<br>7590|
|65-69|719|1294|3314|6469|7120|7365|7479|7531|
|70-74|563|950|2514|5667|6887|7198|7370|<br>7434|
|75+|697|1129|3454|11210|18427|20955|22366|23083|
|TOTAL|51706|70242|99892|122356|132092|135336|137172|<br>138079|
|BIRTH RATE||28.1|19.1|14.3|12.6|12.1|11.8|11.7|
|DEATH RATE||5.6|4.9|6.5|9.7|11.1|11.3|11.5|
|NET MIGRATI|ON<br>RATE|-2.5|-. 4|.0|.0|.0|.0|.0|
|GROWTH<br>RATE||2.00|1.40|.79|.29|.10|.05|.03|
|TOTAL FERTI|LITY|3.364|2.288|2.072|2.064|2.061|2.058|2.058|
|**e(O)**<br>**-** BOTH|SEXES|69.45|74.68|79.60|82.47|84.09|85.32|85.80|
|<br>**IMR**<br>**-** BOTH S|EXES|41.0|19.6|5.2|3.1|2.5|2.2|2.0|
52 BANK REGION AND COUNTRY DEPARTMEN1S

# LATIN AMERICA AND CARIBBEAN COUNTRY DEPf. m

Population Projection (thousands)

|AGE GROUP<br>198<br>TOTAL M+F<br>5397|5<br>5|199<br>5921|0<br>199<br>4<br>6455|5<br>2000<br>0<br>69653|<br>2005<br> <br>74715|<br>2010<br> <br>79875|<br>2015<br> <br>84982|<br>2020<br> <br>89855|<br>202<br> <br>9447|5<br>2030<br>8<br>98842|
|---|---|---|---|---|---|---|---|---|---|---|
|MALES|||||||||||
|0-4<br>385|2|383|4<br>3894|<br>3800|<br>3794|<br>3862|<br>3888|3849|<br>382|0<br>3807|
|5-9<br>355|8|3759|<br>3750|<br>3819|3739|3744|<br>3821|<br>3855|<br>382|4<br>3803|
|10-14<br>325|7|351|5<br>3719|<br>3713|<br>3787|<br>3714|<br>3724|3804|<br>384|2<br>3815|
|15-19<br>315|3|320|9<br>3470|<br>3676|<br>3676|<br>3756|<br>3688|3702|<br>378|6<br>3828|
|20-24<br>273|8|3068|<br>3131|<br>3398|<br>3613|<br>3625|<br>3711|3651|<br>367|2<br>3763|
|25-29<br>221|4|263|2<br>2970|<br>3044|<br>3322|<br>3550|<br>3572|3666|<br>361|4<br>3644|
|30-34<br>178|5|2122|<br>2545|<br>2889|2974|3264|3499|3528|<br>362|9<br>3586|
|35-39<br>142|1|1710|<br>2050|<br>2476|2826|2921|3215|3455|349|1<br>3597|
|40-44<br>110|8|1360|<br>1649|<br>1990|2416|<br>2769|<br>2869|3164;|<br>340|9<br>3450|
|45-49<br>908||105|6<br>1305|<br>1591|<br>1930|<br>2353|<br>2705|2808|<br>310|6<br>3351|
|50-54<br>76|1|858|<br>1003|<br>1245|<br>1525|<br>1857|<br>2273|2620|<br>272|6<br>3024|
|55-59<br>650||706|<br>799|<br>936|1167|1437|<br>1760|<br>2163|<br>250|4<br>2615|
|60-64<br>52|6|583|<br>635|<br>721|<br>849|1066|<br>1323|<br>1631|<br>201|8<br>2350|
|65-69<br>396||447|<br>498|<br>545|623|741|939|1176|<br>146|4<br>1827|
|70-74<br>290||308|<br>350|<br>394|436|505|608|781|99|1<br>1250|
|75+<br>305||329|<br>355|<br>404|468|540|637|778|100|1<br>1308|
|TOTAL<br>2692|1|29497|<br>32123|<br>34642|37147|39704|42232|44633|4689|7<br>49018|
|FEMALES|||||||||||
|0-4<br>370|3|3698|<br>3753|<br>3659|<br>3649|<br>3711|3733|3693|366|3<br>3648|
|5-9<br>3440||3618|<br>3622|<br>3685|3604|3605|3676|3706|3672|<br>3650|
|10-14<br>3164||3401|<br>3581|<br>3589|3657|3582|3587|3662|3695|<br>3666|
|15-19<br>308|5|3122|<br>3362|<br>3544|<br>3557|<br>3630|3560|3570|364|8<br>3686|
|20-24<br>271|9|3016|<br>3059|<br>3303|<br>3493|<br>3516|3596|3533|355|0<br>3635|
|25-29<br>225|3|2640|<br>2942|<br>2990|<br>3244|<br>3446|3478|3565|3510|<br>3534|
|30-34<br>185|4|2187|<br>2578|<br>2883|<br>2939|<br>3202|3410|3448|354|0<br>3492|
|35-39<br>147|5|1802|<br>2138|<br>2529|<br>2838|<br>2900|3168|3380|342|3<br>3519|
|40-44<br>114|7|1435|<br>1763|<br>2097|<br>2488|<br>2800|2866|3136|335|1<br>3397|
|45-49<br>959||1116|<br>1402|<br>1726|<br>2058|<br>2448|2760|2829|310|0<br>3316|
|50-54<br>824||927|<br>1082|<br>1364|<br>1683|<br>2013|2399|2710|278|2<br>3054|
|55-59<br>701||788|<br>890|<br>1041|1316|1629|1955|2337|2647|<br>2722|
|60-64<br>573||655|<br>740|<br>839|985|1252|1558|1878|<br>225|4<br>2563|
|65-69<br>440||514|<br>592|<br>673|768|909|1165|1461|177|3<br>2144|
|70-74<br>332||367|<br>433|<br>505|581|671|805|1045|132|6<br>1629|
|75.<br>386<br> <br>|<br>|432<br>|<br>491<br> <br>|<br>585<br> <br>|708<br>|855<br>|1032<br>|1270<br>|164<br>|6<br>2169<br> <br>|
|TOTAL<br>27054||29717|<br>32427|<br>35011|37568|40170|42750|45221|4758|<br>49824|
|BIRTH RATE|2|8.6|26.4|23.6<br>|21.7<br>|20.5<br>|19.2<br>|17.8<br>|16.6|15.7|
|DEATH RATE||7.5|7.0|6.6|6.5|6.3|6.3|6.3|6.4|6.7|
|RATE OF NAT. INC.|2|.12|1.94|1.70<br>|1.52<br>|1.41<br>|1.29<br>|1.15<br>|1.02|.90|
|NET MIGRATION<br>RATE||-2.6|-2.2|-1.7<br>|-1.2|-.8|-. 5|-. 3|-. 1|.0|
|GROWTH RATE|1|.85|1.73|1.52<br>|1.40<br>|1.34<br>|1.24<br>|1.12<br>|1.00|.90|
|TOTAL FERTILITY|3|431|3.071|2.728<br>2|.519<br>2|.414<br>2|.325<br>2|.237<br>2|.183|2.142|
|<br>NRR|<br>1|<br>.497|<br>1.356|<br>1.221<br>1|.140<br>1|.101<br>1|.070<br>1|.039<br>1|.023|1.013|
|e(O)-BOTH SEXES|65|.52|66.65|67.80<br>6|8.96<br>7|0.12<br>7|1.34<br>7|2.62<br>7|3.96|75.37|
|<br>e(15)- BOTH SEXES|<br>55|<br>.79|<br>56.43|<br>57.01<br>5|7.59<br>5|8.34<br>5|9.14<br>5|9.98<br>6|0.87|61.80|
|<br>IMR- BOTH SEXES|5|8.1|54.0|48.1<br> <br>|41.4<br> <br> <br>|35.9<br> <br> <br>|30.5<br> <br> <br>|25.2<br>2<br> <br>|0.0<br>|14.8<br>|
|q(5)- BOTH SEXES|.|0748|.0694|.0616<br>.|0527<br>.|0459<br>.|0392<br>.|0326<br>.|0262|.0196|
|<br>DEP. RATIO<br>74.9||69.2|<br>63.4|<br>57.3|52.8|49.5|48.1|47.8|48.2|<br>49.5|
BANK REGION AND COUNTRY DEPARTMEN1S _53_

# Suimary Projection LATIN AMERICA AND CARIBBEAN COUNTRY DEPARTMENT III

|AGEGROUP|1985|2000|2025|2050|2075|<br>2100|2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL<br>M+F|53975|69653|94478|112289|<br>120503|<br>124340|<br>126572|<br>127642|
|MALES|||||||||
|0-4|3852|3800|3820|3824|3821|3816|3815|<br>3815|
|5-9|3558|3819|3824|3821|3816|3812|3812|3812|
|10-14|3257|3713|3842|3805|3809|3810|3812|3812|
|15-19|3153|<br>3676|3786|377|<br>3801|3808|3810|3810|
|20-24|2738|3398|3672|<br>3763|3792|3802|3803|3803|
|25-29|2214|3044|3614|3749|3786|3791|3792|3793|
|30-34|1785|2889|3629|3743|3772|3m|3779|3782|
|35-39|1421|2476|3491|3739|3741|3757|3766|3771|
|40-44|1108|1990|3409|3658|3693|3733|3750|3757|
|45-49|908|1591|3106|3513|3655|3704|3727|<br>3734|
|50-54|761|1245|2726|<br>3401|3596|3662|3685|3695|
|55-59|650|936|2504|3319|3513|3587|3619|3634|
|60-64|526|721|<br>2018|3057|3391|3464|3521|3549|
|65-69|396|545|1464|2782|3143|3280|3378|3422|
|70-74|290|394|991|2267|2767|<br>3034|3168|3229|
|75+|305|<br>404|1001|<br>3270|5279|6388|7072|<br>7397|
|TOTAL|26921|34642|46897|55488|59373|<br>61224|62311|62815|
|FEMALES|||||||||
|0-4|3703|3659|3663|3652|3646|3641|3640|3640|
|5-9|3440|3685|3672|3654|3642|3638|3638|3638|
|10-14|3164|3589|3695|3643|3637|3637|3638|3638|
|15-19|3085|3544|3648|3623|3632|3637|3638|3638|
|20-24|2719|3303|3550|3622|3630|3637|3637|3637|
|25-29|2253|2990|3510|3622|3638|3636|3635|3635|
|30-34<br>|1854|2883|3540|3629|3637|3631|3631|3632|
|35-39|1475|2529|3423|3639|3620|3621|3626|3629|
|40-44|1147|2097|3351|3576|3590|3610|3621|3625|
|45-49|959|1726|<br>3100|3459|3576|3599|3615|3619|
|50-54|824|1364|2782|3389|3554|3592|3604|3608|
|55-59|701|1041|2647|3372|<br>3527|3568|3582|3591|
|60-64|573|<br>839|2254|3198|3486|3518|3550|3568|
|65-69|440|673|1m|3032|3353|3441|3505|3536|
|70-74<br>|332|505|1326|2659|3125|3347|3439|3485|
|75+<br>|386|585|1646|5033|7836|9361|10262|10708|
|TOTAL|27054|35011|47581|56801|61130|63116|64261|64828|
|BIRTH RATE||26.1|19.0|14.5|12.8|12.2|11.9|11.8|
|DEATH RATE||7.0|6.4|7.7|10.0|11.0|11.2|11.4|
|NET MIGRATI|ON<br>RATE|-2.1|-. 6|.0|.0|.0|.0|.0|
|GROWTH<br>RATE||1.70|1.22|.69|.28|.13|.07|.03|
|TOTAL FERTI<br>|LITY<br>|3.049|2.330|2.102|2.067|2.062|2.058|2.057|
|e(O)- BOTH S|EXES|66.72|71.55|77.39|81.30|83.34|84.94|85.55|
|INR**-** BOTH S|EXES|53.5|30.7|10.6|4.1|3.0|2.3|2.1|
54 BANK REGION AND COUNTRY DEPARTMENTS LATN AMECA AD CARBEAN COUNTRY DEPT. IV Population Projection (thousands)

|AGE GROUP<br>1985<br>1990|<br>,v95<br>2000|2005|2010|<br>2015<br>2020|2025|<br>2030|
|---|---|---|---|---|---|---|
|TOTAL M+F<br>58358<br>63157|<br>67824<br>72337|76723|81051|<br>85397<br>89620|93578|<br>97207|
|MALES|||||||
|0-4<br>3490<br>3596|3561<br>3512|3490|3537|<br>3628<br>3648|3608|<br>3553|
|5-9<br>3289<br>3456|3568<br>3539|3494|3475|<br>3525<br>3618|3640|<br>3602|
|10-14<br>2982<br>3272|3442<br>3557|3529|3486|<br>3468<br>3519|3613|<br>3637|
|15-19<br>2717<br>2962|<br>3254<br>3427|3543|3517|<br>3475<br>3459|3511|<br>3606|
|20-24<br>2542<br>2686|2934<br>3230|3404|3522|<br>3498<br>3458|3444|<br>3497|
|25-29<br>2322<br>2506|2655<br>2907|3205|3380|<br>3499<br>.$477|3439|<br>3426|
|30-34<br>2101<br>2288|2476<br>2630|2884|3182|<br>3358<br>3477|3457|<br>3421|
|35-39<br>1783<br>2068|2258<br>2449|2605|2860|<br>3157<br>3334|3455|<br>3437|
|40-44<br>1525<br>1749|<br>2034<br>2225|2418|2575|<br>2829<br>3126|<br>3304|<br>3427|
|45-49<br>1330<br>1486|<br>1708<br>1991|2183|2375|<br>2532<br>2786|<br>3083|<br>3262|
|50-54<br>1209<br>1279|<br>1432<br>1651|1929|2119|<br>2310<br>2468|2721|<br>3017|
|55-59<br>1087<br>1138|<br>1206<br>1355|1568|1838|<br>2027<br>2217|<br>2377|<br>2630|
|60-64<br>892<br>988|<br>1038<br>1106|1250|1454|<br>1714<br>1901|<br>2091|<br>2254|
|65-69<br>687<br>771|858<br>908|976|1112|<br>1305<br>1550|<br>1734|<br>1923|
|70-74<br>510<br>547|618<br>695|746|811|<br>937<br>1113|<br>1338|<br>1515|
|75+<br>576<br>622|<br>674<br>763|883|1003|<br>1133<br>1321|<br>1592|<br>1956|
|TOTAL<br>29043<br>31413|<br>33717<br>35945|38108|40246|<br>42393<br>44473|<br>46407|<br>48165|
|FEMALES|||||||
|0-4<br>3364<br>3457|<br>3421<br>3371|3347|3388|<br>3471<br>3487|3445|<br>3389|
|5-9<br>3179<br>3338|<br>3436<br>3405|3359|3336|<br>3379<br>3464|3481|<br>3441|
|10-14<br>2886<br>3166|<br>3328<br>3428|3399|3353|<br>3332<br>3376|3462|<br>3480|
|15-19<br>2639<br>2872|<br>3155<br>3319|3421|3393|<br>3348<br>3328|3373|<br>3459|
|20-24<br>2481<br>2618|<br>2855<br>3142|3309|3412|<br>3385<br>3342|3322|<br>3368|
|25-29<br>2274<br>2456|<br>2600<br>2841|3130|3297|<br>3402<br>3376|3335<br>|<br>3316<br> <br>|
|30-34<br>2062<br>2252|<br>2438<br>2585|2828|3117|<br>3286<br>3392|3367|<br>3327|
|35-39<br>1761<br>2041|<br>2233<br>2422|2571|2814|<br>3104<br>3274|3380|<br>3358<br>|
|40-44<br>1530<br>1741|<br>2021<br>2215|2404|2554|<br>2797<br>3087|3258|<br>3366|
|45-49<br>1357<br>1507|<br>1718<br>1997|2191|2380|<br>2530<br>2774|3064|<br>3236|
|50-54<br>1265<br>1328|<br>1478<br>1687|1964|2157|<br>2347<br>2497|2742|<br>3032|
|55-59<br>1174<br>1226|<br>1290<br>1439|1646|1919|<br>2112<br>2302|2454|<br>2699|
|60-64<br>1003<br>1118|<br>1172<br>1237|1385|1589|<br>1858<br>2051|2242|<br>2397|
|65-69<br>825<br>926|<br>1038<br>1094|1162|1308|<br>1509<br>1772|1967|<br>2161|
|70-74<br>663<br>718|<br>814<br>923|985|1054|<br>1198<br>1394|1651|<br>1849|
|75+<br>853<br>980<br>TOTAL<br>29315<br>31744|<br>1111<br>1287<br> <br>34107<br>36392|1515<br>38615|1733<br>40805|<br>1947<br>2233<br> <br>43004<br>45148|2630<br> <br>47171|<br>3164<br> <br>49042|
|<br> <br> <br>BIRTH RATE<br>24.2|<br> <br> <br>22.1<br>20.2<br>1|<br>8.8<br>1|<br>7.9|<br> <br> <br>17.4<br>16.5<br>|<br> <br>15.6|<br><br>14.7|
|DEATH RATE<br>7.9|7.5<br>7.2<br>|6.9<br>|6.9|6.9<br>6.9|6.9|7.0|
|RATE OF MAT. INC.<br>1.63|1.46<br>1.30<br>1|.19<br>1|.10|1.05<br>.97|.87|.76|
|NET NIGRATION<br>RATE<br>-.5|-.3<br>-.1|-.1<br>|-.1|-.0<br>-.0|.0|.0|
|GROWTH RATE<br>1.58|1.43<br>1.29<br>1|.18<br>1|.10|1.04<br>.97|.86|.76|
|TOTAL FERTILITY 3.176<br>2|.869<br>2.596<br>2.|376<br>2.|253<br>|2.209<br>2.171<br>2|.131<br>|2.088|
|NRR<br>1.475<br>|1.340<br>1.219<br>1.|121<br>1.|066|1.052<br>1.039<br>1|.023<br>|1.007|
|e(O)- BOTH SEXES 69.87<br>|70.85<br>71.99<br>73|.21<br>74|.19<br>|75.22<br>76.31<br>7|7.45<br>|78.66|
|et15)- BOTH SEXES 58.10<br>|58.67<br>59.39<br>60|.25<br>60|.97<br>|61.74<br>62.55<br>6|3.41<br>|64.32|
|INR- BOTH SEXES<br>34.4|30.4<br>25.8<br>2|1.3<br>1|7.9|14.8<br>11.8<br> <br> <br>|8.8<br> <br>|5.7<br>|
|q(5)-BOTH SEXES .0417<br>|.0365<br>.0309<br>.0|255<br>.0|216|.0181<br>.0146<br>.|0110<br>|.0074|
|<br> <br>DEP. RATIO<br>66.5<br>64.9|<br>61.7<br>57.8|53.9|51.6|51.0<br>51.6|52.4|53.0|
BANK REGION AND COUNTRY DEPARTMENIS SS

> swmmry Projection LATIN AMERICA AND CARIBBEAN COUNTRY DEPARTMENT **IV**

|AGE GROUP|1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>212|5<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL M+F|58358|<br>72337|<br>93578|<br>10863|7<br>11535|7<br>11806|6<br>11953|6<br>120255|
|MALES|||||||||
|0-4|3490|<br>3512|<br>3608|<br>3604|<br>3591|<br>3584|<br>3583|<br>3583|
|5-9|3289|<br>3539|<br>3640|<br>3601|<br>3582|<br>3579|<br>3580|<br>3580|
|10-14|2982|<br>3557|<br>3613|<br>3576|<br>3572|<br>3577|<br>3580|<br>3580|
|15-19|2717|<br>3427|<br>3511|<br>3538|<br>3567|<br>3578|<br>3579|<br>3579|
|20-24|2542|<br>3230|<br>3444|<br>3530|<br>3571|<br>3576|<br>3573|<br>3572|
|25-29|2322|<br>2907|<br>3439|<br>3567|<br>3575|<br>3566|<br>3562|<br>3562|
|30-34|2101|<br>2630|<br>3457|<br>3587|<br>3562|<br>3549|<br>3549|<br>3552|
|35-39|1783|<br>2449|<br>3455|<br>3545|<br>3523|<br>3528|<br>3538|<br>3543|
|40-44|1525|<br>2225|<br>3304|<br>3424|<br>3469|<br>3509|<br>3527|<br>3531|
|45-49|1330|<br>1991|<br>3083|<br>3334|<br>3441|<br>3495|<br>3510|<br>3511|
|50-54|1209|<br>1651|<br>2721|<br>3284|<br>3439|<br>3468|<br>3472|<br>3474|
|55-59|1087|<br>1355|<br>2377|<br>3223|<br>3394|<br>3402|<br>3409|<br>3418|
|60-64|892|<br>1106|<br>2091|<br>3103|<br>3258|<br>3286|<br>3318|<br>3341|
|65-69|687|908|1734|<br>2794|<br>3008|<br>3116|<br>3194|<br>3229|
|70-74|510|695|1338|<br>2367|<br>2722|<br>2908|<br>3015|<br>3056|
|75+|576|763|1592|<br>3588|<br>5559|<br>6416|<br>6854|<br>7072|
|TOTAL<br>|29043|35945|<br>46407|<br>53664|<br>56833|<br>58136|<br>58843|<br>59185|
|FEMALES|||||||||
|0-4<br>|3364<br>|3371|3445|<br>3436|<br>3423|<br>3417|<br>3416|<br>3416|
|5-9|3179|3405|3481|<br>3435|<br>3415|3412|<br>3413|<br>3414|
|10-14|2886|3428|3462|3411|3406|3411|<br>3414|<br>3414|
|15-19|2639|3319|3373|3378|3404|3414|3415|<br>3414|
|20-24|2481|3142|3322|3379|3413|3417|3414|<br>3413|
|25-29|2274|2841|3335|3429|3426|3416|3411|<br>3411|
|30-34|2062|2585|3367|3462|3423|3407|3406|<br>3408|
|35-39|1761|2422|3380|3436|3395|3394|3402|<br>3407|
|40-44|1530|2215|3258|3338|3355|3387|3401|3404|
|45-49|1357|1997|3064|3275|3345|3389|3399|3399|
|50-54|1265|1687|2742|3264|3379|3391|3390|3389|
|55-59|1174|1439|2454|3260|3386|3370|3368|3373|
|9-64|1003|1237|2242|3221|3325|3317|3337|3354|
|65-69|825|<br>1094|<br>1967|<br>3030|<br>3178|<br>3242|<br>3303|<br>3330|
|70-74|663|<br>923|<br>1651|<br>2736|<br>3033|<br>3174|<br>3260|<br>3290|
|75+|853|<br>1287|<br>2630|<br>5482|<br>8218|<br>9371|9943|<br>10233|
|TOTAL|29315|<br>36392|<br>47171|<br>54973|<br>58525|<br>59929|<br>60693|<br>61070|
|BIRTH RATE||22,1|17.2|13.8|12.5|12.0|11.8|11.7|
|DEATH RATE||7.5|6.9|7.9|10.1|11.1|11.3|11.5|
|NET MIGRATI|ON<br>RATE|-. 3|-. 0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE||1.43|1.03|.60|.24|.09|.05|.02|
|TOTAL FERTI|LITY|2.863|2.224|2.073|2.063|2.060|2.058|2.057|
|e(O)- BOTH|SEXES|70.95|75.39|80.05|82.75|84.26|85.40|85.85|
|INR- BOTH S|EXES|30.2|14.9|4.7|3.0|2.5|2.1|2.0|
56 BANK REGION AND COUNMRY DEPARTMENTS LATIN AMERICA AND CARIBBEAN NON-BORROWERS Poputation Projection (thousands)

|AGE GROUIP|<br>1985|<br>1990|1995|<br>2000|2005|2010|2015|2020|2025|<br>2030|
|---|---|---|---|---|---|---|---|---|---|---|
|TOTALH+F|280594|<br>293634|<br>307901|<br>321067|332923|343659|353806|<br>363543|<br>37nO4|8<br>378584|
|MALES|||||||||||
|0-4|1091|6<br>11475|<br>1200|2<br>11634|11422|11512|11796|<br>12051|<br>1211|2<br>12035|
|5-9|10243|<br>11022|<br>1158|6<br>12104|<br>11712|<br>11472|<br>11535|<br>11806|<br>1204|3<br>12087|
|10-14|1060|1<br>10328|<br>1111|4<br>11672|<br>12171|<br>11759|<br>11500|<br>11553|<br>1181|1<br>12035|
|15-19|1141|9<br>10676|<br>1041|1<br>11190|<br>11730|<br>12208|<br>11778|<br>11510|<br>1155|1<br>11796|
|20-24|1273|7<br>11572|<br>1083|9<br>10561|<br>11304|<br>11801|<br>12241|<br>11793|<br>1150|0<br>11515|
|25-29|1272|8<br>12941|<br>1178|9<br>11038|<br>10717|<br>11403|<br>11848|<br>12258|<br>1177|5<br>11448|
|30-34|1176|9<br>12891|<br>1311|2<br>11949|<br>11163|<br>10798|<br>11439|<br>11858|<br>1223|7<br>11726|
|<br>35-39|1028|6<br>11862|<br>1298|8<br>13199|<br>12017|<br>11203|<br>10808|<br>11430|<br>1182|5<br>12181|
|40-44|814|3<br>10300|<br>1187|3<br>12989|<br>13187|<br>11993|<br>11165|<br>10763|<br>1136|7<br>11746|
|45-49|6726|<br>8078|<br>1021|5<br>11776|<br>12881|<br>13070|<br>11884|<br>11064|<br>10664|<br>11259|
|50-54|6227|<br>6572|7908|<br>10012|11555|<br>12642|<br>12833|<br>11677|<br>1087|7<br>10489|
|55-59|626|2<br>5962|<br>6321|<br>7633|<br>9693|<br>11201|<br>12273|<br>12478|<br>1137|1<br>10609|
|60-64|589|0<br>5827|<br>5591|<br>5967|<br>7249|<br>9233|<br>10704|<br>11766|<br>1200|2<br>10971|
|65-69|4877|<br>5249|<br>5254|<br>5095|<br>5492|<br>6709|8594|10019|<br>11075|<br>11361|
|70-74|3711|<br>4047|<br>4436|<br>4517|<br>4452|<br>4845|<br>5974|<br>ms|9090|<br>10142|
|75+|4684|<br>5008|<br>5666|<br>6509|<br>7202|<br>7609|<br>8232|<br>9669|<br>1220|2<br>15142|
|TOTAL|13721|7 143811|15110|5 157846|163945|169457|174604|<br>179422|<br>183503|<br>186542|
|FEMALES|||||||||||
|0-4|1040|1<br>10922|<br>11421|<br>11068|<br>10866|<br>10950|<br>11218|<br>11459|<br>1151|5<br>11441|
|5-9|9761|<br>10518|<br>11043|<br>11533|<br>11156|<br>10924|<br>10981|<br>11235|<br>1145|8<br>11496|
|10-14|1007|5<br>9852|<br>10615|<br>11134|<br>11604|<br>11207|<br>10955|<br>11002|<br>1124|2<br>11451|
|15-19|1094|7<br>10174|<br>9960|<br>10719|<br>11215|<br>11661|<br>11242|<br>10979|<br>1100|9<br>11235|
|20-24|1249|1<br>11137|<br>10379|<br>10158|<br>10875|<br>11326|<br>11730|<br>11289|<br>1099|6<br>10997|
|25-29|1262|2<br>12710|<br>11377|<br>10612|<br>10343|<br>11006|<br>11406|<br>11783|<br>1130|7<br>10978|
|30-34|1181|5<br>12778|<br>12881|<br>11545|<br>10744|<br>10436|<br>11061|<br>11440|<br>1178|9<br>11286|
|35-39|1048|4<br>11900|<br>12871|<br>12972|<br>11617|<br>10793|<br>10461|<br>11072|<br>1143|2<br>11764|
|40-44|8404|<br>10500|<br>11918|<br>12888|<br>12979|<br>11616|<br>10783|<br>10447|<br>1104|8<br>11399|
|45-49|7011|<br>8369|<br>10457|<br>11871|<br>12836|<br>12924|<br>11566|<br>1078|1040|2<br>11000|
|50-54|6609|<br>6935|<br>8285|<br>10358|<br>11766|<br>12726|<br>12817|<br>11476|<br>1065|8<br>10329|
|55-59|6871|<br>6482|<br>6814|<br>8154|10209|<br>11607|<br>12564|<br>12665|<br>1134|9<br>10550|
|60-64|6718|<br>6661|<br>6303|<br>6646|7974|10001|<br>11388|<br>12349|<br>1246|8<br>11191|
|65-69|5878|<br>6386|<br>6365|<br>6055|6415|mo|9710|<br>11090|<br>1206|1<br>12212|
|70-74|4938|<br>5381|<br>5903|<br>5940|5700|6070|7342|<br>9285|<br>1065|9<br>11652|
|75+|8352<br>|<br>9118<br>|<br>10204<br>|<br>11568<br>|<br>12679<br>|<br>13237<br>|<br>13976<br>|<br>15813<br>|<br>1915<br>|1<br>23062<br>|
|TOTAL|14337|6 149823|15679|6 163221|168978|174201|179202|184120|18854|5 192042|
|BIRTH RATE||15.7|15.7|14.5<br>|13.7<br>|13.4<br>|13.3|13.2|12.9|12.6|
|DEATH RATE||8.7|8.3|8.0|7.9|8.1|8.1|8.2|8.5|9.1|
|RATE OF MA|T. INC.|.70|.74|.65|.58|.53|.51|.50|.44|.35|
|<br>NET MIGRAT|<br>ION<br>RATE|<br>2.1|2.1|1.9|1.5|1.0|.7|.5|.2|.0|
|<br>GROWTH<br>RATE|<br>|.91|.95|.84|.73|.63|.58|.54|.46|.35|
|TOTAL FERTI|LITY|1.900<br>2|.016<br>|2.030<br>2|.048<br>2|.064<br>2|.076<br>2|.087<br>2|.097|2.104|
|NRR||.901|.959|.968<br>.|978<br>|.986<br>.|993<br>1|.000<br>1|.007|1.013|
|e(O)- BOTH|SEXES|75.46<br>7|6.51<br>|77.57<br>7|8.57<br>7|9.20<br>7|9.85<br>8|0.53<br>8|1.24|81.97|
|<br>(15)- BOT|H SEXES|61.68<br>6|2.62<br>|63.56<br>6|4.46<br>6|5.02<br>6|5.60<br>6|6.20<br>6|6.82|67.46|
|<br>ItR- BOTH S<br>|EXES<br>|12.6<br> <br>|11.3<br>|10.2<br> <br>|9.2<br> <br>|8.6<br> <br>|7.8<br> <br>|7.1<br> <br>|6.3<br>|5.4<br>|
|q(S)- BOTH|SEXES|.0169<br>.|0152|.0139<br>.|0128<br>.|0121<br>.|0111<br>|.0101<br>.|0091|.0080|
|<br>DEP. RATIO|<br>50.7|<br>51.1|<br>52.2|<br>51.3|49.9|49.6|52.5|<br>57.5|<br>63.4|<br>68.7|
BANK REOION AND COUNTRY DEPARTMENTS **_57_** Summary Projection

# LAIN **AMIUCA AN CAIBEAN** NON-BORROWERS

|AGE GROUP|<br>1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL**M+F**<br>|<br>280594|<br>321067|<br>372048|<br>386476|<br>392752|<br>397535|<br>400558|<br>402180|
|MALES|||||||||
|0-4|10916|<br>11634|<br>12112|<br>11994|<br>11970|<br>11970|<br>11972|<br>11973|
|5-9|10243|<br>12104|<br>12043|<br>11951|<br>11947|<br>1196|0<br>11965|<br>11965|
|10-14|10601|<br>11672|<br>11811|<br>l1898|11945|<br>11962|<br>1196|6<br>11964|
|15-19|11419|<br>11190|<br>11551|<br>11900|<br>1195S|<br>11961|<br>11959|<br>11957|
|20-24|12737|<br>10561|<br>11500|<br>11963|<br>11948|<br>l1938|11936|<br>11936|
|25-29|12728|<br>11038|<br>l1m|11988|<br>1190s|<br>11893|<br>11900|<br>11906|
|30-34|11769|<br>11949|<br>12237|<br>11897|<br>11835|<br>11845|<br>11867|<br>11876|
|35-39|10286|<br>13199|<br>11825|<br>11622|<br>11744|<br>11809|<br>11838|<br>11847|
|40-44|8143|12989|<br>11367|<br>11310|<br>11697|<br>11778|<br>1179|<br>11804|
|45-49|6726|<br>11776|<br>10664|<br>11195|<br>11699|<br>11717|<br>11728|<br>11735|
|50-54|6227|10012|<br>10877|<br>11345|<br>11615|<br>11581|<br>11596|<br>11615|
|55-59|6262|7633|11371|<br>115?6|<br>11344|<br>11351|<br>11402|<br>11442|
|60-64|5890|5967|12002|<br>10876|<br>10816|<br>11021|<br>11143|<br>11200|
|65-69|4877|5095|11075|<br>10014|<br>10134|<br>10608|<br>10771|<br>10833|
|70-74|3711|<br>4517|9090|<br>8757|<br>944l|10038|<br>10184|<br>10257|
|75+|4684|6509|12202|<br>19941|<br>21557|<br>22556|<br>23427|<br>23957|
|TOTAL|137217|<br>157846|<br>183503|<br>190226|<br>193553|<br>195987|<br>197452|<br>198265|
|FEMALES|||||||||
|0-4|10401|<br>11068|<br>11515|<br>11401|<br>11375|<br>11372|<br>11373|<br>11374|
|5-9|9761|11533|<br>11458|<br>11365|<br>11358|<br>11366|<br>11369|<br>11369|
|10-14|10075|11134|<br>11242|<br>11317|<br>11358|<br>11370|<br>11371|<br>11369|
|15-19|10947|10719|<br>11009|<br>11325|<br>11375|<br>11375|<br>11370|<br>11367|
|20-24|12491|10158|<br>10996|<br>11404|<br>11386|<br>11371|<br>1136|3<br>11363|
|25-29|12622|10612|11307|<br>11461|<br>11374|<br>11355|11355|<br>11358|
|30-34|11815|11545|11789|<br>11404|<br>11334|<br>11335|11348|<br>11354|
|35-39|10484|12972|<br>11432|<br>11173|<br>11273|<br>11326|<br>11345|11348|
|40-44|8404|12888|11048|<br>10919|<br>11263|<br>11330|11339|<br>11338|
|45-49|7011|11871|10402|<br>10876|<br>11318|<br>11322|11320|<br>11318|
|50-54|6609|10358|10658|<br>11134|<br>11334|<br>11279|<br>11279|<br>11288|
|55-59|6871|8154|11349|<br>11532|<br>11217|<br>11192|<br>11222|<br>11248|
|60-64|6718|6646|12468|<br>11072|<br>10906|<br>11065|11159|<br>11197|
|65-69|5878|6055|12061|10544|10536|10956|<br>11083|<br>11121|
|70-74|4938|5940|10659|9685|10301|<br>10846|10945|<br>10986|
|75+|8352|11568|19151|29638|31489|32690|33865|34516|
|TOTAL|143376|163221|188545|<br>196250|199199|<br>201548|<br>203105|<br>203915|
|BIRTH RATE||15.3|13.3|12.3|12.0|11.9|11.7|11.7|
|DEATH RATE||8.3|8.2|10.8|11.4|11.4|11.4|11.5|
|NET MIGRAT|ION<br>RATE|2.0|.8|.0|.0|.0|.0|.0|
|GROWTH<br>RAT|E|.90|.59|.15|.06|.05|.03|.02|
|TOTAL FERT|ILITY|1.989|2.074|2.090|2.065|2.063|2.061|2.061|
|e(O)**-** BOTH|SEXES|76.54|79.92|82.73|84.23|85.10|85.79|86.09|
|**IMR**<br>**-** BOTH|SEXES|11.4|7.8|4.6|3.2|2.5|2.0|2.0|
# COUNTRIES, ECONOMIES, AND TERRITORIES
60 COUNTIRES, ECONOMIES, _AND_ TERRrIORIES

# ANTIGUA AND BARUDA

Projection (thousards) with NRR=1 by 2030

|AGE GROUP<br>1985<br>1990<br>1995<br>2000<br>2005<br>2010<br>2015<br>2020<br>2025<br>2030|
|---|
|TOTAL<br>M+F<br>76<br>79<br>8K<br>90<br>97<br>104<br>109<br>114<br>119<br>124|
|MALES|
|0-4<br>6<br>3<br>3<br>4<br>5<br>5<br>4<br>4<br>4<br>4<br> <br> <br> <br>|
|5-9<br>6<br>6<br>3<br>3<br>4<br>5<br>5<br>4<br>4<br>4<br> <br> <br>|
|10-14<br>6<br>6<br>6<br>3<br>3<br>4<br>5<br>5<br>4<br>4<br> <br> <br> <br> <br> <br> <br> <br>|
|15-19<br>4<br>5<br>6<br>6<br>3<br>3<br>4<br>5<br>5<br>4<br> <br> <br>|
|20-24<br>3<br>4<br>5<br>6<br>6<br>3<br>3<br>4<br>5<br>5|
|25-29<br>2<br>3<br>4<br>5<br>6<br>6<br>3<br>3<br>4<br>5|
|30-34<br>1<br>2<br>3<br>4<br>5<br>6<br>5<br>3<br>3<br>4|
|35-39<br>1<br>1<br>2<br>3<br>4<br>5<br>6<br>5<br>3<br>3|
|40-44<br>1<br>1<br>1<br>2<br>3<br>4<br>5<br>5<br>5<br>3|
|45-49<br>1<br>1<br>1<br>1<br>2<br>3<br>4<br>5<br>5<br>5|
|50-54<br>1<br>1<br>1<br>1<br>1<br>2<br>3<br>4<br>5<br>5|
|55-59<br>1<br>1<br>1<br>1<br>1<br>1<br>2<br>3<br>4<br>5<br> <br>|
|60-64<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>2<br>3<br>4<br> <br>|
|65-69<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>2<br> <br> <br> <br>|
|70-74<br>0<br>0<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>|
|75+<br>0<br>0<br>1<br>1<br>1<br>1<br>1<br>2<br>2<br>2<br> <br> <br> <br> <br>|
|TOTAL<br>36<br>38<br>40<br>44<br>47<br>50<br>53<br>56<br>58<br>61<br>|
|FEMALES<br>|
|0-4<br>6<br>3<br>3<br>4<br>5<br>5<br>4<br>4<br>4<br>4|
|5-9<br>6<br>6<br>3<br>3<br>4<br>5<br>5<br>4<br>4<br>4|
|10-14<br>5<br>6<br>6<br>3<br>3<br>4<br>5<br>4<br>4<br>4|
|15-19<br>4<br>5<br>6<br>6<br>3<br>3<br>4<br>5<br>4<br>4|
|20-24<br>3<br>4<br>5<br>6<br>6<br>3<br>3<br>4<br>5<br>4<br> <br> <br>|
|25-29<br>2<br>3<br>4<br>5<br>6<br>5<br>3<br>3<br>4<br>5<br> <br> <br> <br>|
|30-34<br>2<br>2<br>3<br>4<br>5<br>6<br>5<br>3<br>3<br>4<br> <br> <br> <br> <br>|
|35-39<br>2<br>2<br>2<br>3<br>4<br>5<br>6<br>5<br>3<br>3<br>|
|40-44<br>2<br>2<br>2<br>2<br>3<br>4<br>5<br>6<br>5<br>3<br>|
|45-49<br>2<br>2<br>2<br>2<br>2<br>3<br>4<br>5<br>6<br>5|
|50-54<br>2<br>2<br>2<br>2<br>2<br>2<br>3<br>4<br>5<br>5<br>|
|55-59<br>1<br>2<br>2<br>2<br>2<br>2<br>2<br>3<br>4<br>5|
|60-64<br>1<br>1<br>1<br>2<br>2<br>2<br>2<br>2<br>3<br>4<br> <br> <br>|
|65-69<br>1<br>1<br>1<br>1<br>1<br>2<br>2<br>2<br>2<br>3<br>|
|70-74<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>2<br>|
|_75+_<br>1<br>1<br>1<br>2<br>2<br>2<br>3<br>3<br>3<br>3<br>TOTAL<br>40<br>1<br> <br> <br> <br> <br> <br> <br> <br>|
|<br> <br>4<br>44<br>47<br>50<br>53<br>56<br>58<br>61<br>63|
|BIRTH RATE<br>14.8<br>17.0<br>19.5<br>20.3<br>18.6<br>15.7<br>13.9<br>13.6<br>13.9|
|DEATH RATE<br>5.0<br>5.2<br>5.3<br>5.5<br>5.5<br>5.5<br>5.5<br>5.5<br>5.6<br> <br> <br>|
|RATE OF NAT. INC.<br>.98<br>1.18<br>1.41<br>1.49<br>1.31<br>1.02<br>.84<br>.80<br>.83<br> <br>|
|NET MIGRATION<br>RATE<br>.0<br>.0<br>.0<br>.0<br>.0<br>.0<br>.0<br>.0<br>.0<br> <br> <br> <br> <br>|
|GROWTH<br>RATE<br>.98<br>1.17<br>1.41<br>1.49<br>1.30<br>1.02<br>.84<br>.80<br>.83|
|TOTAL FERTILITY 1.900<br>1.900<br>1.900<br>1.927<br>1.953<br>1.979<br>2.005<br>2.033<br>2.056|
|NRR<br>.896<br>.901<br>.905<br>.921<br>.936<br>.951<br>.966<br>.980<br>.995<br> <br> <br>|
|e(O) - BOTH SEXES 73.08<br>74.20<br>75.36<br>76.48<br>77.30<br>78.16<br>79.04<br>79.95<br>80.90<br>|
|e(15)- BOTH SEXES 60.28<br>61.04<br>61.89<br>62.78<br>63.44<br>64.13<br>64.85<br>65.59<br>66.36<br> <br> <br> <br> <br> <br> <br>|
|IMR - BOTH SEXES<br>21.6<br>17.6<br>14.4<br>11.8<br>10.2<br>8.6<br>7.0<br>5.3<br>3.7<br> <br> <br> <br>|
|q(5) - BOTH SEXES .0264<br>.0215<br>.0175<br>.0146<br>.0127<br>.0108<br>.0089<br>.0071<br>.0052|
|<br><br>DEP. RATIO<br>96.7<br>70.5<br>53.8<br>**44.3**<br>50.0<br>52.0<br>49.0<br>43.5<br>40.5<br>43.1|
COUNTRIES, ECONOMIES, AND TERRITORIES 61 Summry Projection for 25-Year Periods ANTIGUA AND BARBUDA

|AGE GROUP<br>1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTALM+F<br>76|90|119|<br>138|<br>140|<br>141|<br>142|<br>143|
|MALES|||||<br>|||
|0-4<br>6|4|4|4|4|<br>4|4|4|
|5-9<br>6|3|4|4|4|<br>4|4|4|
|10-14<br>6|3|4|4|4|<br>4|4|4|
|15-19<br>4|6|5|<br>4|4|<br>4|4|4|
|20-24<br>3|6|5|4|4|<br>4|<br>4|4|
|25-29<br>2|5|4|4|4|<br>4|4|4|
|30-34<br>1|4|3|4|4|<br>4|4|4|
|35-39<br>1|3|3|4|4|<br>4|4|4|
|40-44<br>1|2|<br>5|5|<br>4|<br>4|4|4|
|45-49<br>1|1|5|5|4|<br>4|4|4|
|50-54<br>1|1|5|4|4|<br>4|4|4|
|55-59<br>1|1|4|3|4|4|4|4|
|60-64<br>1|1|3|3|4|4|<br>4|<br>4|
|65-69<br>1|1|1|5|<br>4|<br>4|4|4|
|70-74<br>0|1|1|4|4|4|4|4|
|75.<br>0|<br>1|2|6|7|<br>8|8|8|
|TOTAL<br>36|44|58|68|69|<br>69|T0|<br>70|
|FEMALES||||||||
|0-4<br>6|4|4|4|4|4<br>|4<br>|4<br>|
|5-9<br>6|3|4|4|4|4|4|4|
|10-14<br>5|3|4|4|4|4|4|4|
|15-19<br>4|6|4|4|4|4|4|4|
|20-24<br>3|6|5|4|4|4|4|4|
|25-29<br>2|<br>5|4|4|4|4|4|4|
|30-34<br>2|4|3|4|4|4|4|4|
|35-39<br>2|3|3|4|4|4|4|4|
|40-44<br>2|2|5|4|4|4|4|4|
|45-49<br>2|2|<br>6|5|4|4|4|4|
|50-54<br>2|2|5|4|4|4|4|4|
|55-59<br>1|2|4|3|4|4|4|4|
|60-64<br>1|2|3|3|4|4|4|4|
|65-69<br>1|1|2|5|4|4|4|4|
|70-74<br>1|1|1|5|4|4|4|4|
|75+<br>1|2|3|9|10|<br>11|12|12|
|TOTAL<br>40|47|61|70|71|72|72|73|
|BIRTH RATE|17.2|16.2|13.0|12.1|11.9|11.7|11.7|
|DEATHRATE|5.2|5.5|7.1|11.5|11.5|11.4|11.5|
|NETMIGRATION<br>RATE|.0|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|1.19|1.09|.60|.05|.04|.04|.02|
|TOTAL FERTILITY|1.911|1.975|2.062|2.061|2.059|2.058|2.057|
|etO)- BOTH SEXES|74.26|78.28|81.90|83.79|84.84|85.61|85.92|
|IMR- BOTH SEXES|17.4|8.8|3.3|2.6|2.2|2.0|2.0|
62 COUNTRIES, ECONOMIES, AND TERRITORIES

# ARGENTIA

Projection (thousands) with NRR=1 by 2005

|AGE GROUP<br>1985|<br>1990<br>1995|2000|2005|2010|2015|<br>2020|<br>2025|<br>2030|
|---|---|---|---|---|---|---|---|---|
|TOTAL1+F<br>30331|32293<br>34096|35820|37464|39095|40728|<br>42296|<br>43765|<br>45129|
|MALES|||||||||
|0-4<br>1649|<br>1631<br>1587|1571|1550|1577|1611|<br>1609|<br>1592|<br>1580|
|5-9<br>1639|<br>1636<br>1621|1579|1564|1544|1572|<br>1607|<br>1605|<br>1589|
|10-14<br>1410|<br>1633<br>1631<br>|1617<br>|1576<br>|1561<br>|1542<br>|<br>1570<br> <br>|<br>1605<br> <br>|<br>1604<br> <br>|
|15-19<br>1242|<br>1404<br>1626|1626|1612|1571|1557<br>|<br>1538<br> <br>|<br>1567<br> <br>|<br>1602<br> <br>|
|20-24<br>1177|<br>1233<br>1395|<br>1617|1617|1604|1564|<br>1551<br>|<br>1532<br> <br>|<br>1561<br> <br>|
|25-29<br>1144|<br>1167<br>1224|<br>1385|1608|1608|1595|<br>1556<br>|<br>1543<br> <br>|<br>1525<br> <br>|
|30-34<br>1094|<br>1134<br>1158|<br>1215|1377|1598|1599|<br>1587|<br>1548|<br>1535<br>|
|35-39<br>988|<br>1082<br>1122|<br>1148|1206|1367|1588|<br>1589|<br>1578|<br>1540|
|40-44<br>859|<br>973<br>1067|<br>1109|1135|1194|1354|<br>1574|<br>1576|<br>1566|
|45-49<br>775|<br>840<br>952|<br>1047|1090|1117|1176|<br>1335|<br>1553|<br>1557|
|50-54<br>729|<br>747<br>812|<br>923|1017|1061|1089|<br>1148|<br>1306|<br>1522|
|55-59<br>674|<br>688<br>707|<br>771|880|973|1018|<br>1048|<br>1109|<br>1265|
|60-64<br>565|<br>615<br>630|<br>651|714|820<br>|911<br>|<br>959<br> <br>|<br>993<br> <br>|<br>1056<br> <br>|
|65-69<br>435|<br>490<br>536|<br>554|578|639|740|<br>829|<br>879|<br>918|
|70-74<br>327|<br>347<br>394|<br>436|457|483|541|<br>634|<br>720|<br>773|
|75+<br>364|<br>401<br>434|<br>491|561|626|692|<br>786|<br>930|<br>1101|
|TOTAL<br>15069|<br>16020<br>16896|<br>17738|18542|19343|20148|<br>20919|<br>21635|<br>22295|
|FEMALES|||||||||
|0-4<br>1592|<br>1568<br>1525|<br>1508|1486|1510|1541|<br>1537|<br>1520|<br>1507|
|5-9<br>1585|<br>1583<br>1562|<br>1520|1504|1483|1507|<br>1539|<br>1535|<br>1518|
|10-14<br>1366|<br>1581<br>1580|<br>1560|1518|1502|1481|<br>1506|<br>1538|<br>1535|
|15-19<br>1205|<br>1363<br>1578|<br>1578|1557|1516|1500|<br>1480<br>|<br>1505<br> <br>|<br>1537<br> <br>|
|20-24<br>1145|<br>1202<br>1360|<br>1575|1575|1555|1514|<br>1498|<br>1478|<br>1503<br>|
|25-29<br>1113|<br>1142<br>1199|<br>1356|1571|1571|1551|<br>1511|<br>1496|<br>1476|
|30-34<br>1068|<br>1109<br>1138|<br>1195|1352|1567|1567|<br>1548|<br>1508|<br>1493|
|35-39<br>963|<br>1063<br>1104|<br>1133|1190|1347|1562|<br>1562|<br>1544<br>|<br>1504<br> <br>|
|40-44<br>851|<br>955<br>1055|<br>1097|1126|1184|1341|<br>1554|<br>1556|<br>1538|
|45-49<br>783|<br>841<br>944|<br>1044|1086|1116|1174|<br>1331|<br>1544|<br>1547|
|50-54<br>754|<br>768<br>826|<br>929|1029|1072|1102|<br>1161|<br>1317|<br>1530|
|55-59<br>720|<br>732<br>748|<br>805|908|1008|1051|<br>1083|<br>1143|<br>1299|
|60-64<br>631|<br>688<br>702|<br>719|778|880|979|<br>1024|<br>1058|<br>1119|
|65-69<br>523|<br>585<br>641|<br>658|679|738|839|<br>938|<br>986|<br>1024|
|70-74<br>426|<br>459<br>518|<br>573|596|620|680|<br>780|<br>879|<br>932<br>|
|75+<br>536<br> <br>|<br>632<br>720<br> <br> <br>|<br>832<br> <br>18082|967<br>18923|1084<br>19752|1190<br>20579|<br>1326<br> <br>21377|<br>1526<br> <br>22130|<br>1775<br> <br>22835|
|TOTAL<br>15262|<br>16272<br>17199|<br>||||<br>|<br>|<br>|
|BIRTH RATE|21.2<br>19.3|18.1<br>1|6.9<br>1|6.4<br>1|6.0|15.3|14.6|14.0|
|DEATH RATE|8.6<br>8.5|8.2|7.9<br>|7.9<br>|7.8|7.8|7.8|7.8|
|RATE OF NAT. INC.|1.25<br>1.09|.99|.90|.85<br>|.82|.76|.68|.61|
|NET MIGRATION<br>RATE|.0<br>.0|.0|.0|.0|.0|.0|.0|.0|
|GROUTH<br>RATE|1.25<br>1.09|.99|.90|.85<br>|.82|.76|.68|.61|
|TOTAL FERTILITY<br>|2.960<br>2.675<br>2|.418<br>2.|186<br>2.|099<br>2.0|92<br>|2.085<br>|2.078<br>|2.070|
|NRR<br>|1.378<br>1.255<br>|1.142<br>1|.038<br>1.|000<br>1.|000<br>|1.000<br>|1.000<br>|1.000|
|eCO) - BOTH SEXES|70.58<br>71.67<br>|72.88<br>74|.15<br>75|.12<br>76|.12|77.17<br>|78.26<br>|79.39|
|eC15)- BOTH SEXES|58.82<br>59.40<br>|60.18<br>61|.08<br>61|.78<br>62|.52<br>|63.29<br> <br>|64.10<br><br>|64.95<br>|
|IMR- BOTH SEXES|32.0<br>27.2|22.5<br>1<br>|8.4<br>1<br> <br>|5.7<br>1<br> <br>|2.9<br>|10.1<br>|7.3<br>|4.5<br>|
|q(5)-BOTH SEXES|.0390<br>.0326<br>|.0270<br>.|0222<br>.0|190<br>.0|158|.0126|.0093|.0061|
|<br>DEP. RATIO<br>64.1|<br> <br>63.5<br>59.7|56.3|53.4|52.0|52.0|53.0|53.8|54.2|
COUNTRIES, ECONOMIES, AND TERRrrORIES 63 Summary Projection for 25-Year Periods '

# ARGENTINA

|AGEGROUP|1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL M+F<br>|30331|35820|<br>43765|<br>49419|<br>51614|<br>52574|<br>53148|<br>53434|
|MALES<br>|||<br>|<br>|<br>|<br>|<br>||
|0-4<br>|1649<br>|1571<br>|<br>1592<br> <br>|<br>1596<br> <br>|<br>1593<br> <br>|<br>1591<br> <br>|<br>1590<br> <br>|<br>1590<br> <br>|
|5-9<br>|1639<br>|1579<br>|<br>1605<br> <br>|<br>1596<br>|<br>1590|<br>1589|<br>1589|<br>1589|
|10-14<br>|1410<br>|1617<br>|<br>1605<br> <br>|<br>1589<br> <br>|<br>1587<br> <br>|<br>1588<br> <br>|<br>1589<br>|<br>1589|
|15-19<br>|1242<br>|1626<br>|<br>1567<br> <br>|<br>1578<br>|<br>1585|<br>1588|<br>1588|<br>1588|
|20-24<br>|1177<br>|1617<br>|<br>1532<br> <br>|<br>1571<br> <br>|<br>1584<br> <br>|<br>1586<br> <br>|<br>1586<br> <br>|<br>1586<br>|
|25-29<br>|1144<br>|1385<br>|<br>1543<br> <br>|<br>1575<br> <br>|<br>1584<br>|<br>1582|<br>1581|<br>1581|
|30-34<br>|1094<br>|1215<br>|<br>1548<br> <br>|<br>1584<br> <br>|<br>1579<br>|<br>1576|<br>1576|<br>1577|
|35-39<br>|988<br>|1148|<br>1578<br>|<br>1576<br>|<br>1567|1568|<br>1571|<br>1573|
|40-44<br>|859<br>|1109<br> <br>|<br>1576<br>|1530<br>|1548<br>|1559<br>|<br>1565<br>|<br>1567|
|45-49<br>|775<br>|<br>1047<br>|1553<br>|1486|1533|1551|<br>1557|<br>1559|
|50-54|729|923|1306|1477|1521|1537|1541|<br>1543|
|55-59|674|771|1109|1449|1501|1510|1515|<br>1518|
|60-64<br>|565<br>|651<br>|993|1425|1454|1464|1476|<br>1485|
|65-69<br>|435|554|879|1346|1351|1395|<br>1421|<br>1435|
|70-74|327|436|720|<br>1210|1224|1301|1341|<br>1358|
|75+|364|491|930|1766|2584|2883|3064|3155|
|TOTAL|15069|17738|21635|24355|25384|25868|26152|26292|
|FEMALES|||||||||
|0-4|1592|1508|1520|1522|1518|1517|1516|1516|
|5-9<br>|1585<br>|1520<br>|1535<br>|1522<br>|1516|1515|1515|1515|
|10-14<br>|1366<br>|1560<br>|1538<br>|1516<br>|1513|1514|1515|1515|
|15-19<br>|1205<br>|1578<br>|1505|1506|1512|1515|1515|1515|
|20-24|1145<br>|1575|1478|1503|1514|1516|1515|1515|
|25-29<br>|1113<br>|1356<br>|1496<br>|1514|1518|1516|1514|1514|
|30-34|1068|1195|1508|1528|1517|1513|1512|1513|
|35-39<br>|963|1133|1544|1528|1509|1509|1511|1512|
|40-44<br>|851<br>|1097<br>|1556<br>|1491<br>|1497|1505|1510|1511|
|45-49<br>|783|1044|1544|1459|1490|1504|1508|1509|
|50-54<br>|754|929<br>|1317|1467|1493|1503|1505|1505|
|55-59<br>|720|805|1143|1465|1498|1496|1497|1498|
|60-64<br>|631<br>|719<br>|1058<br>|1479<br>|1483<br>|1478|1485|1490|
|65-69|523|658|986|1459|1427|1451|1470|1479|
|70-74|426<br>|573|879|1396|1364|1419|1450|1462|
|75+|536|832|1526|2710|3860|4235|4458|4571|
|TOTAL|15262|18082|22130|25065|26230|26706|26996|27142|
|BIRTH RATE||19.5|15.8|13.3|12.3|12.0|11.8|11.7|
|DEATH RATE||8.4|7.8|8.5|10.5|11.2|11.3|11.5|
|**NET**MIGRATI|ON<br>RATE|.0|.0|.0|.0|.0|**.0**|.0|
|GROWTH<br>RATE||1.11|.80|.49|.17|.07|.04|.02|
|TOTAL FERTIL<br> <br>|ITY<br>|2.671<br>|2.107<br>|2.067<br>|2.062<br>|2.060<br>|2.058<br>|2.057<br>|
|**e(O)**<br>**-** BOTH|EXES|71.75|76.25|80.65|83.08|84.41|85.41|85.81|
|**IHR-** BOTH S|EXES|27.3|12.8|3.9|2.8|2.4|2.1|2.0|
64 COUNTRIES, ECONOMIES, AND TERRITORIES

# BAHAMA S, TEM

|BAHAMAS,TEM|Projection (thousands) with NRR=1 by1990|
|---|---|
|AGE GROUP<br>1985<br>1990<br>1995<br>2000|2005<br>2010<br>2015<br>2020<br>2025<br>2030|
|TOTAL**M+F**<br>232<br>255<br>278<br>303<br>|327<br>347<br>365<br>381<br>397<br>412|
|MALES||
|0-4<br>14<br>12<br>13<br>15|15<br>15<br>14<br>14<br>14<br>15|
|5-9<br>14<br>15<br>12<br>13<br> <br> <br> <br>|15<br>15<br>15<br>14<br>14<br>14|
|10-14<br>16<br>15<br>15<br>12<br> <br> <br> <br> <br>|13<br>15<br>15<br>15<br>14<br>14<br> <br> <br> <br> <br>|
|15-19<br>14<br>17<br>15<br>15|12<br>13<br>15<br>15<br>15<br>14|
|20-24<br>10<br>15<br>17<br>15|15<br>12<br>13<br>15<br>15<br>15|
|25-29<br>7<br>11<br>15<br>17<br> <br> <br> <br> <br>|15<br>15<br>12<br>13<br>15<br>15|
|30-34<br>7<br>7<br>11<br>15|17<br>15<br>15<br>12<br>13<br>15|
|35-39<br>7<br>7<br>8<br>11|15<br>17<br>14<br>14<br>12<br>13|
|40-44<br>6<br>7<br>7<br>8<br> <br> <br>|11<br>15<br>16<br>14<br>14<br>12|
|45-49<br>5<br>6<br>7<br>7<br>|7<br>11<br>14<br>16<br>14<br>14|
|50-54<br>4<br>5<br>6<br>7|7<br>7<br>10<br>14<br>16<br>14|
|55-59<br>3<br>4<br>5<br>6|7<br>7<br>7<br>10<br>13<br>15|
|60-64<br>2<br>3<br>4<br>4<br>|5<br>6<br>6<br>6<br>9<br>13|
|65-69<br>2<br>2<br>2<br>3|4<br>4<br>5<br>6<br>6<br>8|
|70-74<br>1<br>2<br>1<br>2<br> <br> <br> <br>|2<br>3<br>4<br>4<br>5<br>5|
|75.<br>1<br>1<br>2<br>2<br> <br> <br> <br> <br>|2<br>3<br>4<br>5<br>6<br>7<br> <br> <br>|
|TOTAL<br>116<br>127<br>139<br>151<br>|162<br>172<br>180<br>188<br>195<br>203|
|FEMALES<br> <br> <br>||
|0-4<br>13<br>12<br>13<br>14|15<br>14<br>14<br>13<br>14<br>14|
|5-9<br>14<br>13<br>12<br>13<br> <br> <br>|14<br>15<br>14<br>14<br>13<br>14|
|10-14<br>16<br>14<br>13<br>12<br>|13<br>14<br>15<br>14<br>14<br>13|
|15-19<br>14<br>16<br>14<br>13|12<br>13<br>14<br>15<br>14<br>13|
|20-24<br>11<br>14<br>16<br>15<br> <br> <br>|14<br>12<br>13<br>14<br>15<br>14|
|25-29<br>8<br>11<br>15<br>17<br>|15<br>14<br>12<br>13<br>14<br>15|
|30-34<br>8<br>8<br>12<br>15<br>|17<br>15<br>13<br>12<br>13<br>14|
|35-39<br>7<br>8<br>8<br>12<br> <br> <br> <br> <br>|15<br>17<br>15<br>13<br>12<br>13<br> <br> <br>|
|40-44<br>6<br>7<br>8<br>8|12<br>15<br>17<br>14<br>13<br>12|
|45-49<br>5<br>6<br>7<br>8|8<br>12<br>15<br>16<br>14<br>13|
|50-54<br>4<br>5<br>6<br>7<br> <br>|8<br>8<br>11<br>14<br>16<br>14|
|55-59<br>3<br>4<br>5<br>6<br>|7<br>8<br>8<br>11<br>14<br>16|
|oO-64<br>3<br>3<br>4<br>4<br>|5<br>6<br>8<br>8<br>11<br>14|
|65-69<br>2<br>3<br>3<br>3|4<br>5<br>6<br>7<br>8<br>11|
|70-74<br>1<br>2<br>2<br>2<br>|3<br>4<br>5<br>6<br>7<br>7|
|75+<br>1<br>1<br>2<br>3<br>TOTAL<br>116<br>12<br> <br>|3<br>4<br>6<br>7<br>9<br>12<br> <br> <br> <br> <br> <br>|
|<br> <br>8<br>139<br>152|165<br>175<br>184<br>193<br>201<br>209|
|BIRTH RATE<br>20.1<br>20.0<br>20.5<br>19.|4<br>17.5<br>15.8<br>14.8<br>14.5<br>14.3|
|DEATH RATE<br>5.7<br>5.6<br>5.5<br>5.|4<br>5.5<br>5.8<br>6.1<br>6.5<br>6.8|
|RATE OF MAT. INC.<br>1.44<br>1.44<br>1.50<br>1.4<br> <br> <br> <br> <br> <br>|0<br>1.20<br>1.00<br>.87<br>.80<br>.75<br>|
|NET MIGRATION<br>RATE<br>4.5<br>3.0<br>2.1<br>1.|3<br>.0<br>.0<br>.0<br>.0<br>.0|
|GROWTH<br>RATE<br>1.89<br>1.74<br>1.70<br>1.5|<br><br>3<br>1.20<br>1.00<br>.87<br>.80<br>.75|
|TOTAL FERTILITY2.300<br>2.132<br>2.112<br>2.10|1<br>2.095<br>2.089<br>2.084<br>2.078<br>2.072|
|NRR<br>1.065<br>1.00U,<br>1.000<br>1.00|0<br>1.000<br>1.000<br>1.000<br>1.000<br>1.000|
|eCO)- BOTH SEXES67.93<br>69.62<br>71.32<br>72.9<br>|9<br>74.00<br>75.07<br>76.19<br>77.36<br>78.60|
|e0i5) - B0TH SEXES55.62<br>56.88<br>58.22<br>59.5<br>|9<br>60.43<br>61.31<br>62.23<br>63.21<br>64.25|
|**INR**- BOTHSEXES<br>27.9<br>23.0<br>18.7<br>15.<br> <br> <br> <br>|2<br>13.2<br>11.2<br>9.3<br>7.3<br>5.3<br> <br> <br> <br>|
|q(5) - BOTH SEXES.0335<br>.0275<br>.0225<br>.018|5<br>.0162<br>.0139<br>.0116<br>.0093<br>0070|
|<br>DEP. RATIO<br>70.9<br>55.1<br>48.2<br>45.7|<br> <br>.<br>47.1<br>47.6<br>46.5<br>45.3<br>44.9<br>48.0|
COUNTRIES, ECONOMIES, AND TERRrIORIES 65 Summary Projectfon for 25-Year Periods BAHAMAS, THE

|AGE GROUP<br>1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTAL M+F<br>232|303|<br>397|<br>451|<br>467|<br>477|<br>483|<br>486|
|MALES<br> <br>||<br>|<br>|<br>|<br>|<br>|<br>|
|0-4<br>14|15|<br>14|<br>14|<br>14<br>|<br>14<br> <br>|<br>14<br> <br>|<br>14<br> <br>|
|5-9<br>14|13|<br>14|<br>14|14|<br>14|<br>14|<br>14|
|10-14<br>16|12|<br>14|<br>1S|<br>15|<br>14|<br>14|<br>14|
|15-19<br>14|15|<br>15|<br>15|<br>15|<br>14|<br>14|<br>14|
|20-24<br>10|15|<br>15|<br>15|14|<br>14|<br>14|<br>14|
|25-29<br>7|17|<br>15|<br>14|14|<br>14|<br>14|<br>14|
|30-34<br>7|15|<br>13|14|14|<br>14|<br>14|<br>14|
|35-39<br>7|11|<br>12|<br>14|14|<br>14|<br>14|<br>14|
|40-44<br>6|8|14|14|14|14|<br>14|<br>14|
|45-49<br>5|7|14|15|14|14|<br>14|<br>14|
|50-54<br>4|7|16|14|14|14|<br>14|<br>14|
|55-59<br>3|6|13|12|13|14|<br>14|<br>14|
|60-64<br>2|4|9|11|13|13|<br>14|<br>14|
|65-69<br>2|3|6|12|13|13|<br>13|<br>13|
|70-74<br>1|2|5|11|12|12|<br>12|<br>12|
|75+<br>1|2|6|18|22|25|<br>27|28|
|TOTAL<br>116|151|<br>195|<br>221|230|234|<br>237|<br>239|
|FEMALES||||||||
|0-4<br>13|14|14|14|14|14|<br>14<br>|<br>14<br> <br>|
|5-9<br>14|13|13|14|14|14|<br>14|<br>14|
|10-14<br>16|12|14|14|14|14|<br>14|14|
|15-19<br>14|13|14|14|14|14|<br>14|<br>14|
|20-24<br>11|<br>15|<br>15|<br>14|<br>14|<br>14|<br>14|<br>14|
|25-29<br>8|17|14|14|14|14|<br>14|<br>14|
|30-34<br>8|15|13|13|14|14|<br>14|14|
|35-39<br>7|12|12|13|14|14|<br>14|14|
|40-44<br>6|<br>8|<br>13|<br>14|<br>14|<br>14|<br>14|<br>14|
|45-49<br>5|8|14|14|14|14|<br>14|14|
|50-54<br>4|7|16|14|13|14|<br>14|14|
|55-59<br>3|6|14|12|13|13|<br>14|14|
|oO-64<br>3|4|11|11|13|14|<br>14|14|
|65-69<br>2|3|8|12|13|14|<br>13|13|
|70-74<br>1|2|7|13|13|13|<br>13|13|
|75+<br>1|<br>3|<br>9|<br>28|<br>33|<br>37|<br>40|<br>41|
|TOTAL<br>116|<br>152|<br>201|<br>230|<br>238|<br>242|<br>245|<br>247|
|BIRTH RATE|20.2|16.3|13.3|12.4|12.0|11.8|11.7|
|DEATH RATE|5.6|5.9|8.2|11.0|11.3|11.3|11.5|
|NET MIGRATION<br>RATE|3.1|.2|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|1.78|1.08|.51|.14|.08|.05|.03|
|TOTAL FERTILITY|2.183|2.090|2.069|2.063|2.060|2.058|2.057|
|o(O)- BOTH SEXES|69.72|75.23|79.99|82.68|84.17|85.28|85.71|
|INR- BOTH SEXES|22.9|11.3|4.4|3.0|2.5|2.1|2.0|
66 COUNTRIES, ECONOMIES, AND TERRITORIES BABADOS Projectfon (thousands) with NRR=1 by 2030

|AGE GROUP<br>1985<br>1 90<br>1995<br>2000<br>2005<br>2010<br>2015<br>2020<br>2025<br>2030<br>TOTAL<br>M+F<br>253<br>257<br>263<br>270<br>276<br>281<br>286<br>292<br>298<br>304|
|---|
|MALES|
|0-4<br>11<br>10<br>11<br>10<br>10<br>9<br>9<br>9<br>9<br>9|
|5-9<br>11<br>11<br>10<br>10<br>10<br>10<br>9<br>9<br>9<br>9|
|10-14<br>13<br>11<br>10<br>9<br>10<br>10<br>10<br>9<br>9<br>9|
|15-19<br>13<br>13<br>10<br>10<br>9<br>10<br>10<br>10<br>9<br>9|
|20-24<br>13<br>12<br>12<br>10<br>10<br>9<br>10<br>10<br>9<br>9|
|25-29<br>12<br>12<br>12<br>12<br>10<br>10<br>9<br>10<br>10<br>9|
|30-34<br>10<br>11<br>12<br>12<br>12<br>9<br>9<br>9<br>10<br>10|
|35-39<br>7<br>10<br>11<br>12<br>11<br>11<br>9<br>9<br>8<br>10|
|40-44<br>5<br>7<br>9<br>11<br>11<br>11<br>11<br>9<br>9<br>8|
|45-49<br>4<br>5<br>6<br>9<br>11<br>11<br>11<br>11<br>9<br>9|
|50-54<br>4<br>4<br>5<br>6<br>9<br>10<br>11<br>11<br>11<br>9|
|55-59<br>4<br>4<br>4<br>4<br>6<br>9<br>10<br>11<br>11<br>10|
|60-64<br>4<br>4<br>3<br>3<br>4<br>6<br>8<br>10<br>10<br>10|
|65-69<br>4<br>4<br>3<br>3<br>3<br>4<br>5<br>8<br>9<br>10|
|70-74<br>3<br>3<br>3<br>3<br>3<br>3<br>3<br>5<br>7<br>8|
|75+<br>5<br>5<br>5<br>5<br>5<br>5<br>5<br>6<br>7<br>10|
|TOTAL<br>121<br>124<br>127<br>131<br>135<br>137<br>140<br>143<br>146<br>149|
|FEMALES|
|0-4<br>11<br>9<br>10<br>10<br>10<br>9<br>9<br>9<br>9<br>9|
|5-9<br>11<br>11<br>9<br>10<br>10<br>9<br>9<br>9<br>9<br>9|
|10-14<br>13<br>11<br>10<br>9<br>10<br>10<br>9<br>9<br>8<br>9|
|15-19<br>13<br>13<br>10<br>10<br>9<br>10<br>9<br>9<br>9<br>8|
|20-24<br>13<br>12<br>12<br>10<br>10<br>9<br>9<br>9<br>9<br>9|
|25-29<br>12<br>12<br>12<br>12<br>10<br>10<br>8<br>9<br>9<br>9|
|30-34<br>10<br>11<br>12<br>12<br>12<br>9<br>9<br>8<br>9<br>9|
|35-39<br>8<br>10<br>11<br>12<br>12<br>11<br>9<br>9<br>8<br>9|
|40-44<br>5<br>8<br>9<br>11<br>12<br>11<br>11<br>9<br>9<br>8|
|45-49<br>5<br>5<br>8<br>9<br>11<br>12<br>11<br>11<br>9<br>9|
|50-54<br>5<br>5<br>5<br>7<br>9<br>11<br>11<br>11<br>11<br>9|
|55-59<br>5<br>5<br>5<br>5<br>7<br>9<br>11<br>11<br>11<br>11|
|60-64<br>5-<br>5<br>5<br>5<br>4<br>7<br>9<br>10<br>11<br>11|
|65-69<br>5<br>5<br>4<br>4<br>4<br>4<br>7<br>9<br>10<br>11|
|70-74<br>5<br>4<br>4<br>4<br>4<br>4<br>4<br>7<br>8<br>10|
|75+<br>8<br>8<br>8<br>9<br>9<br>9<br>9<br>9<br>12<br>16|
|TOTAL<br>132<br>134<br>136<br>139<br>141<br>144<br>146<br>148<br>151<br>155|
|BIRTH RATE<br>15.4<br>16.3<br>15.5<br>14.6<br>13.5<br>12.6<br>12.3<br>12.2<br>12.2|
|DEATH RATE<br>9.1<br>8.4<br>7.7<br>7.2<br>7.0<br>7.0<br>7.1<br>7.4<br>7.9|
|RATE OF NAT. INC.<br>.64<br>79<br>.79<br>.74<br>.65<br>.57<br>.52<br>.49<br>.42|
|NET MIGRATION<br>RATE-3.1<br>-3.1<br>-3.0<br>-2.9<br>-2.9<br>-2.1<br>-1.4<br>-. 7<br>.0|
|GROWTH<br>RATE<br>.32<br>.48<br>.48<br>.45<br>.36<br>.36<br>.38<br>.42<br>.42|
|TOTALFERTILITY 1.800<br>1.800<br>1.800<br>1.844<br>1.887<br>1.929<br>1.970<br>2.010<br>2.049|
|NRR<br>.858<br>.862<br>.864<br>.887<br>.909<br>.930<br>.951<br>.972<br>.992|
|eCO) - BOTH SEXES 74.33<br>75.63<br>76.87<br>78.05<br>78.76<br>79.48<br>80.23<br>81.01<br>81.82|
|<br>e(15) - BOTH SEXES 60.66<br>61.70<br>62.78<br>63.84<br>64.47<br>65.12<br>65.80<br>66.50<br>67.22|
|INR -BOTH SEXES<br>12.0<br>9.4<br>7.7<br>6.5<br>5.8<br>52<br>4.6<br>3.9<br>3.3<br> <br> <br> <br> <br> <br> <br> <br> <br>|
|q(5)- BOTH SEXES .0148<br>.0117<br>.0098<br>.0084<br>.0076<br>.0069<br>.0061<br>.0054<br>.0046|
|<br>DEP. RATIO<br>63.7<br>54.4<br>50.7<br>47.6<br>46.4<br>44.1<br>44.8<br>48.8<br>55.7<br>63.7|
COUNTRIES, ECONOMIES, AND TERRITORIES 67 SuLmry Projectfon for 25-Year Perfods

# BARBADOS

|AGEGROUP<br>1985<br>TOTAL**M+F**<br>253|2000<br>270|2025<br>298|2050<br>307|2075<br>303|2100<br>305|2125<br>307|2150<br>308|
|---|---|---|---|---|---|---|---|
|MALES||||||||
|0-4<br>11|10|9|9|9|9|9|9|
|5-9<br>11|10|9|9|9|9|9|9|
|10-14<br>13|9|9|9|9|9|9|9|
|15-19<br>13|10|9|9|9|9|9|9|
|20-24<br>13|10|9|9|9|9|9|9|
|25-29<br>12|12|10|9|9|9|9|9|
|30-34<br>10|12|10|9|9|9|9|9|
|35-39<br>7|12|8|9|9|9|9|9|
|40-44<br>5|<br>11|9|9|9|9|9|9|
|45-49<br>4|9|9|9|9|9|9|9|
|50-54<br>4|6|11|9|9|9|9|9|
|55-59<br>4|4|11|9|8|9|9|9|
|60-64<br>4|3|10|8|8|8|9|9|
|65-69<br>4|3|9|s8|<br>8|8|8|8|
|70-74<br>3|3|7|7|8|8|8|8|
|75+<br>5|<br>5|7|18|17|17|18|18|
|TOTAL<br>121|131|146|151|150|150|151|152|
|FEMALES||||||||
|0-4<br>11|10|9|9|9|9|9|9|
|5-9<br>11|10|9|9|9|9|9|9|
|10-14<br>13|9|8|9|9|9|9|9|
|15-19<br>13|10|9|9|9|9|9|9|
|20-24<br>13|10|9|9|9|9|9|9|
|25-29<br>12|12|9|9|9|9|9|9|
|30-34<br>10|12|9|8|9|9|9|9|
|35-39<br>L|<br>12|8|8|9|9|9|9|
|40-44<br>5|11|9|9|9|9|9|9|
|45-49<br>5|9|9|9|9|9|9|9|
|50-54<br>5|7|11|9|9|9|9|9|
|55-59<br>5|5|11|9|8|9|9|9|
|<br>60-64<br>5|5|11|8|8|9|9|9|
|65-69<br>5|4|10|9|8|9|9|9|
|70-74<br>5|4|8|8|8|8|8|8|
|75+<br>8|9|12|27|25|25|26|27|
|TOTAL<br>132|139|151|157|154|155|156|156|
|BIRTH RATE|15.8|13.0|11.7|11.8|t1.8|11.7|11.6|
|DEATH RATE|8.4|7.1|10.5|12.3|11.6|11.4|11.5|
|NET MIGRATION<br>RATE|-3.1|-2.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|.43|.39|.13|-. 05|.02|.03|.01|
|TOTAL FERTILITY|1.787|1.924|2.060|2.060|2.059|2.057|2.057|
|**e(O)**BOTH SEXES|75.63|79.54|82.64|84.23|85.10|85.75|86.01|
|<br>**IMR-** BOTH SEXES|9.6|5.2|3.0|2.4|2.2|2.0|1.9|
68 COUNTRIES, ECONOMIES, AND TERRITORIES BELIZE Projection (thousands) with NRR=I by<sup>2020</sup>

|AGEGROUP<br>1985<br>1990<br>1995<br>2000<br>2005<br>2010<br>2015<br>2020<br>2025<br>2030|
|---|
|TOTALN+F<br>166<br>188<br>215<br>245<br>275<br>303<br>329<br>354<br>379<br>406|
|MALES|
|0-4<br>12<br>15<br>18<br>19<br>19<br>18<br>17<br>16<br>17<br>18<br>|
|5-9<br>14<br>11<br>15<br>17<br>19<br>19<br>18<br>17<br>16<br>17|
|10-14<br>13<br>13<br>11<br>15<br>17<br>19<br>19<br>18<br>17<br>16<br> <br>|
|15-19<br>11<br>12<br>13<br>11<br>15<br>17<br>19<br>19<br>18<br>17<br> <br> <br> <br> <br> <br> <br> <br>|
|20-24<br>7<br>10<br>12<br>13<br>11<br>15<br>17<br>19<br>19<br>18<br> <br> <br> <br> <br> <br>|
|25-29<br>5<br>7<br>10<br>12<br>13<br>10<br>14<br>17<br>18<br>18<br> <br> <br> <br> <br>|
|30-34<br>3<br>5<br>7<br>10<br>11<br>12<br>10<br>14<br>17<br>18<br> <br> <br>|
|35-39<br>3<br>3<br>5<br>6<br>9<br>11<br>12<br>10<br>14<br>16<br> <br> <br>|
|40-44<br>3<br>3<br>3<br>5<br>6<br>9<br>11<br>12<br>10<br>14|
|45-49<br>3<br>3<br>3<br>3<br>4<br>6<br>9<br>11<br>12<br>10|
|50-54<br>2<br>3<br>3<br>3<br>2<br>4<br>6<br>9<br>11<br>12|
|55-59<br>2<br>2<br>3<br>3<br>3<br>2<br>4<br>6<br>8<br>10|
|60-64<br>2<br>2<br>2<br>3<br>2<br>2<br>2<br>4<br>5<br>8<br>|
|65-69<br>1<br>2<br>2<br>2<br>2<br>2<br>2<br>2<br>3<br>5<br> <br> <br> <br> <br> <br>|
|70-74<br>1<br>1<br>1<br>1<br>1<br>2<br>2<br>2<br>2<br>3<br> <br> <br> <br> <br> <br> <br> <br> <br>|
|75+<br>1<br>1<br>1<br>1<br>2<br>2<br>2<br>2<br>3<br>3<br> <br> <br> <br> <br> <br> <br> <br> <br> <br>|
|TOTAL<br>83<br>94<br>108<br>122<br>137<br>151<br>164<br>176<br>189<br>203|
|FEMALES<br> <br> <br> <br> <br> <br> <br>|
|0-4<br>12<br>15<br>17<br>18<br>18<br>17<br>16<br>16<br>16<br>17<br> <br> <br> <br> <br> <br> <br> <br> <br>|
|5-9<br>14<br>11<br>15<br>17<br>18<br>18<br>17<br>16<br>16<br>16|
|10-14<br>13<br>13<br>11<br>15<br>17<br>18<br>18<br>17<br>16<br>16<br> <br>|
|15-19<br>11<br>12<br>13<br>11<br>14<br>16<br>18<br>18<br>17<br>16|
|20-24<br>7<br>10<br>12<br>13<br>11<br>14<br>16<br>18<br>18<br>17<br> <br> <br> <br>|
|25-29<br>5<br>7<br>10<br>12<br>13<br>11<br>14<br>16<br>18<br>18<br> <br> <br> <br> <br> <br> <br>|
|30-34<br>3<br>5<br>7<br>10<br>12<br>13<br>10<br>14<br>16<br>18|
|35-39<br>3<br>3<br>5<br>7<br>9<br>11<br>12<br>10<br>14<br>16<br> <br> <br> <br> <br> <br> <br> <br>|
|40-44<br>3<br>3<br>3<br>5<br>6<br>9<br>11<br>12<br>10<br>14<br> <br> <br> <br> <br> <br> <br> <br>|
|45-49<br>3<br>3<br>3<br>3<br>5<br>6<br>9<br>11<br>12<br>10<br> <br> <br> <br> <br> <br> <br> <br> <br>|
|50-54<br>2<br>3<br>3<br>3<br>3<br>4<br>6<br>9<br>11<br>12|
|55-59<br>2<br>2<br>3<br>3<br>3<br>3<br>4<br>6<br>9<br>11<br> <br> <br> <br> <br> <br>|
|60-64<br>2<br>2<br>2<br>3<br>3<br>3<br>3<br>4<br>6<br>9<br> <br>|
|65-69<br>1<br>2<br>2<br>2<br>3<br>3<br>3<br>2<br>4<br>6<br> <br>|
|70-74<br>1<br>1<br>2<br>2<br>2<br>2<br>2<br>2<br>2<br>4<br> <br> <br>|
|75+<br>1<br>1<br>1<br>2<br>2<br>3<br>4<br>4<br>5<br>5<br> <br> <br> <br> <br> <br>138<br>152<br>165<br>177<br>190<br>204|
|TOTAL<br>83<br>94<br>108<br>123<br> <br> <br> <br> <br> <br>|
|BIRTH RATE<br>36.6<br>36.0<br>34.0<br>29.7<br>24.9<br>21.6<br>19.2<br>18.4<br>17.9<br>|
|DEATH RATE<br>7.0<br>6.1<br>5.3<br>4.7<br>4.3<br>4.1<br>4.1<br>4.0<br>4.0<br> <br> <br>|
|RATE OF NAT. INC.<br>2.95<br>2.98<br>2.88<br>2.50<br>2.06<br>1.75<br>1.51<br>1.43<br>1.38<br> <br>|
|NET MIGRATION<br>RATE -4.5<br>-3.0<br>-2.6<br>-2.0<br>-1.4<br>-1.0<br>-. 6<br>-.3<br>.0<br>|
|GROWTH<br>RATE<br>2.50<br>2.68<br>2.62<br>2.30<br>1.92<br>1.65<br>1.45<br>1.40<br>1.38<br> <br> <br> <br>|
|TOTAL FERTILITY<br>5.000<br>4.500<br>4.000<br>3.500<br>3.005<br>2.580<br>2.215<br>2.084<br>2.073<br> <br> <br> <br>|
|NRR<br>2.258<br>2.067<br>1.860<br>1.642<br>1.418<br>1.224<br>1.057<br>1.000<br>1.000<br> <br> <br> <br> <br> <br> <br> <br>|
|eCO)- BOTHSEXES 66.73<br>68.71<br>70.61<br>72.42<br>73.49<br>74.61<br>75.76<br>76.95<br>78.19<br> <br> <br> <br> <br> <br> <br>|
|e05) - BOTH SEXES 56.35<br>57.57<br>58.84<br>60.12<br>60.81<br>61.53<br>62.28<br>63.07<br>63.89<br> <br> <br> <br> <br> <br> <br> <br>|
|IMR - BOTH SEXES<br>50.0<br>41.0<br>33.4<br>27.0<br>22.7<br>18.5<br>14.2<br>9.9<br>5.7<br> <br> <br> <br> <br> <br> <br> <br> <br>|
|q(5) -BOTH SEXES .0594<br>.0486<br>.0397<br>.0323<br>.0274<br>.0224<br>.0174<br>.0125<br>.0075|
|<br>DEP. RATIO<br>97.5<br>87.3<br>79.7<br>82.4<br>77.2<br>67.7<br>57.0<br>48.1<br>44.5<br>44.3|
COUNTRIES, ECONOMIES, AND TERRITORIES 69 BELIZE Summary Projection for 25-Year Periods

|AGE GROUP<br>1985|2000|2025<br>2050|2075|2100|2125|2150|
|---|---|---|---|---|---|---|
|TOTAL<br>M+F<br>166|245|379<br>496|555|570|578|<br>582|
|MALES<br> <br>|||||||
|0-4<br>12<br> <br>|19|17<br>17|17|17|17|17|
|5-9<br>14<br>|17|16<br>17|17|17|17|17|
|10-14<br>13<br>|15|17<br>17|17|17|17|17|
|15-19<br>11|11|18<br>18|17|17|17|17|
|20-24<br>7|13|19<br>18|17|17|17|17|
|25-29<br>5|12|18<br>17|17|17|17|17|
|30-34<br>3|10|17<br>16|17|17|17|17|
|35-39<br>3|6|14<br>17|17|17|17|17|
|40-44<br>3|5|10<br>17|17|17|17|17|
|45-49<br>3<br>|3|12<br>18|17|17|17|17|
|50-54<br>2|3|11<br>18|16|16|17|17|
|55-59<br>2|3|8<br>15|15|16|17|17|
|60-64<br>2|3|5<br>13|15|16|16|16|
|65-69<br>1|2|3<br>8|15|16|16|16|
|70-74<br>1<br>|1|2<br>9|15|15|15|15|
|75+<br>1<br>|1|3<br>11|25|29|32|34|
|TOTAL<br>83<br>|122|189<br>246|273|280|284|286|
|FEMALES<br>|||||||
|0-4<br>12<br>|18|16<br>16|16|17|17|17|
|5-9<br>14|17|16<br>16|17|17|17|17|
|10-14<br>13|15|16<br>17|17|17|17|17|
|15-19<br>11|11|17<br>17|17|17|17|17|
|20-24<br>7|13|18<br>17|16|16|17|<br>17|
|25-29<br>5|12|18<br>16|16|16|17|17|
|30-34<br>3<br>|10|16<br>16|<br>16|17|17|17|
|35-39<br>3|7|14<br>16|17|17|17|17|
|40-44<br>3|5|10<br>17|17|17|16|16|
|45-49<br>3|3|12<br>18|17|16|16|16|
|50-54<br>2|3|11<br>17|16|16|16|16|
|55-59<br>2|3|9<br>16|15|16|16|16|
|60-64<br>2|3|6<br>13|16|16|16|16|
|65-69<br>1|2|4<br>10|16|16|16|16|
|70-74<br>1|2|2<br>11|16|<br>16|16|16|
|75+<br>1|2|5<br>18|36|44|48|49|
|TOTAL<br>83|123|190<br>250|281|290|294|296|
|BIRTH RATE|35.4|22.3<br>15.5|12.9|12.1|11.8|11.7|
|DEATH RATE|6.1|4.2<br>5.0|8.4|11.0|11.3|11.4|
|NET MIGRATION<br>RATE|-3.3|-1.0<br>.0|.0|.0|.0|.0|
|GROWTH<br>RATE|2.60|1.74<br>1.07|.45|.11|.06|.03|
|TOTAL FERTILITY|4.438|2.605<br>2.069|2.063|2.060|2.058|2.057|
|eCO)<br>**-** BOTH SEXES|68.85|74.84<br>79.69|82.50|84.06|85.23|85.69|
|**IMR-** BOTH SEXES|40.9|18.8<br>4.7|3.0|2.5|2.1|2.0|
70 COUNTRIES, ECONOMIES, AND TERRITORIES BOLIVIA Projection (thousands) with NRR-1 by 2020

|AGE GROWP<br>1985<br>1990<br>1995<br>2000<br>2005|2010|2015<br>2020<br>2025<br>2030|
|---|---|---|
|TOTAL M+F<br>6342<br>7171<br>8144<br>9145<br>10151|11133|12053<br>12888<br>13713<br>14547|
|MALES|||
|0-4<br>555<br>551<br>628<br>650<br>657|653|630<br>598<br>606<br>626|
|5-9<br>453<br>538<br>535<br>614<br>639|647|646<br>624<br>594<br>603|
|10-14<br>382<br>448<br>533<br>531<br>610|636|644<br>643<br>622<br>592|
|15-19<br>323<br>377<br>443<br>527<br>527|605|632<br>641<br>640<br>620|
|20-24<br>271<br>315<br>369<br>435<br>519|520|599<br>626<br>636<br>636|
|25-29<br>226<br>261<br>306<br>360<br>426|511|512<br>592<br>620<br>631|
|30-34<br>189<br>217<br>252<br>297<br>352|418|504<br>506<br>586<br>616|
|35-39<br>162<br>181<br>210<br>245<br>291|345|412<br>497<br>501<br>581|
|40-44<br>131<br>155<br>175<br>203<br>239|284|339<br>405<br>490<br>494|
|45-49<br>108<br>125<br>149<br>169<br>197|232|277<br>330<br>396<br>480|
|50-54<br>93<br>102<br>118<br>142<br>161|188|223<br>266<br>319<br>384|
|55-59<br>79<br>85<br>94<br>110<br>132|150|177<br>210<br>252<br>303|
|60-64<br>60<br>70<br>76<br>84<br>99|119|137<br>161<br>192<br>232|
|65-69<br>42<br>50<br>58<br>64<br>72|84|103<br>118<br>141<br>169|
|70-74<br>28<br>32<br>38<br>45<br>50|56|67<br>82<br>95<br>114|
|75+<br>23<br>28<br>33<br>39<br>48|55|64<br>76<br>94<br>114|
|TOTAL<br>3125<br>3533<br>4017<br>4515<br>5016<br>|5506|5963<br>6377<br>6784<br>7196|
|FEMALES|||
|0-4<br>546<br>535<br>609<br>629<br>634|631|609<br>578<br>586<br>606|
|5-9<br>453<br>530<br>522<br>597<br>620|627|625<br>605<br>576<br>585|
|10-14<br>385<br>448<br>526<br>518<br>593|617|624<br>623<br>604<br>575|
|15-19<br>328<br>381<br>444<br>522<br>515|590|615<br>622<br>622<br>603|
|20-24<br>279<br>323<br>376<br>439<br>517|511|587<br>612<br>620<br>621|
|25-29<br>236<br>273<br>317<br>370<br>434|512|507<br>583<br>609<br>618|
|30-34<br>201<br>231<br>268<br>312<br>365|429|508<br>503<br>580<br>607|
|35-39<br>171<br>196<br>226<br>263<br>308|361|425<br>504<br>500<br>577|
|40-44<br>139<br>167<br>192<br>222<br>259|303|357<br>421<br>499<br>496|
|45-49<br>117<br>135<br>163<br>188<br>217|254|298<br>351<br>415<br>493|
|50-54<br>101<br>113<br>131<br>158<br>183|212|248<br>292<br>344<br>407|
|55-59<br>85<br>95<br>108<br>125<br>151|176|204<br>240<br>283<br>335|
|60-64<br>66<br>78<br>88<br>100<br>117|142|166<br>194<br>228<br>271|
|65-69<br>48<br>58<br>69<br>79<br>90|106|129<br>152<br>179<br>212|
|70-74<br>33<br>38<br>47<br>56<br>65|75|90<br>111<br>132<br>157|
|75+<br>30<br>36<br>44<br>54<br>66<br> <br> <br> <br> <br> <br>|81<br>|98<br>120<br>151<br>189<br> <br> <br> <br>|
|TOTAL<br>3217<br>3638<br>4127<br>4631<br>5135|5628|6090<br>6511<br>6928<br>7351|
|BIRTH RATE<br>36.2<br>35.8<br>32.4<br>28.8<br>2|5.8<br>22|.6<br>19.7<br>18.6<br>17.9|
|DEATH RATE<br>10.2<br>9.3<br>8.3<br>7.3<br>6|<br>.8<br>6|<br> <br> <br><br>.4<br>6.1<br>6.0<br>6.1|
|RATE OF NAT. INC.<br>2.59<br>2.65<br>2.41<br>2.16<br>1.|90<br>1.|62<br>1.36<br>1.25<br>1.18|
|NETMIGRATION<br>RATE -1.4<br>-1.0<br>-. 9<br>-. 7<br>-|. 5<br>-|.3<br>-. 2<br>-.1<br>.0|
|GROWTH<br>RATE<br>2.46<br>2.55<br>2.32<br>2.09<br>1.|85<br>1.|59<br>1.34<br>1.24<br>1.18|
|TOTAL FERTILITY<br>5.000<br>4.700<br>4.100<br>3.500<br>3.0|27<br>2.6|18<br>2.264<br>2.136<br>2.106|
|NRR<br>2.050<br>1.976<br>1.766<br>1.544<br>1.3|56<br>1.1|90<br>1.045<br>1.000<br>1.000|
|e(O) - BOTH SEXES 58.82<br>60.71<br>62.70<br>64.76<br>66.|18<br>67.|65<br>69.17<br>70.74<br>72.36|
|eCIS)- BOTH SEXES 53.25<br>54.14<br>54.98<br>55.84<br>56.|53<br>57.|24<br>57.97<br>58.73<br>59.53|
|IMR - BOTH SEXES<br>98.1<br>87.8<br>76.4<br>64.9<br>56<br> <br> <br> <br> <br>|.2<br>47<br> <br>|.5<br>38.8<br>30.1<br>21.4<br> <br> <br> <br>|
|q(5) - BOTH SEXES .1266<br>.1119<br>.0956<br>.0790<br>.06|84<br>.05|78<br>.0471<br>.0364<br>.0257|
|<br>DEP. RATIO<br>88.5<br>84.8<br>80.8<br>73.5<br>69.0|62.2|56.0<br>50.6<br>46.9<br>45.4|
COUNTRIES, ECONOMIES, AND TERRITORIES 71 Sumary Projection for 25-Year Periods

**BOLIVIA**

|AGEGROUP<br>1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTAL<br>**M+F**<br>6342|<br>9145|<br>13713|<br>17414|<br>19456|<br>20204|<br>2070|1<br>20932|
|MALES||||||||
|0-4<br>555|<br>650|606|<br>621|<br>628|<br>629|<br>628|<br>628|
|5-9<br>453|<br>614|594|<br>621|<br>630|<br>629|<br>628|<br>628|
|10-14<br>382|531|622|628|631|628|627|<br>627|
|15-19<br>323|527|640|631|629|626|627|<br>627|
|20-24<br>271|435|636|618|622|624|625|<br>626|
|25-29<br>226|360|620|593|614|622|624|<br>625|
|30-34<br>189|297|586|581|612|623|623|<br>623|
|35-39<br>162|245|501|605|616|622|621|<br>621|
|40-44<br>131|203|490|618|615|617|616|<br>618|
|45-49<br>108|169|396|608|598|606|611|<br>614|
|50-54<br>93|142|319|581|566|592|604|<br>608|
|55-59<br>79|110|252|531|541|580|595|<br>598|
|60-64<br>60|84|192|428|542|567|581|<br>584|
|65-69<br>42|64|141|381|519|540|555|561|
|70-74<br>28|45|95|265|460|487|514|526|
|75+<br>23|39|94|290|751|955|1120|1196|
|TOTAL<br>3125|4515|6784|8600|9572|9946|10200|<br>10308|
|FEMALES||||||||
|0-4<br>546|629|586|593|598|599|599|599|
|5-9<br>453|597|576|596|600|600|599|598|
|10-14<br>385|518|604|606|602|599|598|598|
|15-19<br>328|522|622|611|600|598|598|598|
|20-24<br>279|439|620|602|595|596|598|598|
|25-29<br>236|370|609|581|590|596|598|598|
|30-34<br>201|312|580|570|593|598|598|598|
|35-39<br>171|263|500|596|601|599|597|597|
|40-44<br>139|222|499|612|604|596|595|596|
|45-49<br>117|188|415|605|593|589|592|594|
|50-54<br>101|158|344|588|568|582|590|593|
|55-59<br>85|125|283|550|551|580|589|591|
|60-64<br>66|100|228|460|566|581|586|587|
|65-69<br>48|79|179|438|564|574|576|579|
|70-74<br>33|56|132|335|532|548|559|569|
|75+<br>30|54|151|471|1126|1423|1629|1730|
|TOTAL<br>3217|4631|6928|8814|9885|10258|10501|10624|
|BIRTH RATE|34.6|22.7|16.0|13.3|12.4|12.0|11.8|
|DEATH RATE|9.2|6.5|6.5|8.9|10.9|11.0|11.4|
|NET MIGRATION<br>RATE|-1.1|-. 3|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|2.44|1.62|.96|.44|.15|.10|.04|
|TOTAL FERTILITY|4.555|2.641|2.093|2.072|2.065|2.060|2.058|
|oCO)<br>**-** BOTH SEXES|60.90|67.94|74.81|79.54|82.24|84.34|85.12|
|**IMR-** BOTHSEXES|86.9|48.1|15.0|4.7|3.3|2.4|2.2|
# 72 COUNTRIES, ECONOMIES, AND TERRITORIES

BRAZIL Projection (thousands) with **NRRa1** by 2005

|AGE GROUP<br>1985|<br>1990|1995|2000|2005|2010|2015|2020|2025|2030|
|---|---|---|---|---|---|---|---|---|---|
|TOTAL**M+F**<br>135564|<br>150368|<br>164880|<br>178267|190425|202340|214473|226218|236961|246476|
|MALES||||||||||
|0-4<br>9115|9700|9581|9086|8573|8736|9166|9313|9191|8992|
|5-9<br>8213|8994|9598|9501|9024|8523<br>|8693<br>|9129<br>|9284<br>|9169<br>|
|10-14<br>74n|8173|8956|9564|9472<br>|8998<br>|8502<br>|8675<br>|9113<br>|9271<br>|
|15-19<br>6991|7425|8126|8910|9521|9432<br>|8964<br>|8473<br>|8648<br>|9089<br>|
|20-24<br>6836|6919|7354|<br>8058|8846|9457|9373<br>|8913<br>|8428<br>|8607<br> <br>|
|25-29<br>5830|6752|6840|7281|7988|8775|9387<br>|9310<br>|8858<br>|<br>8381<br>|
|30-34<br>4927|5754|6671|6768|7214<br>|7921<br>|8707<br>|9320<br>|9250<br>|8807<br>|
|35-39<br>3971|4852|5674|6588|6696|7143|7849|8635<br>|9250<br>|9188<br>|
|40-44<br>3144|3891|4762|5580|6493|6605|7054|7758|8543|9161|
|45-49<br>2718|3052|3785|4644|5456|6358|6477|6926|7629<br>|8412<br>|
|50-54<br>2249|2596|2922|3634|4474|5269|6155|6285<br>|6736<br>|7437<br>|
|55-59<br>1926|<br>2094|2424|2739|3420|4227|4998|5861|6008|6465|
|60-64<br>1514|1728|1886|2194|2490<br>|3128<br>|3889<br>|4626<br>|5457<br>|5628<br>|
|65-69<br>1105|1284|1473|<br>1618|1896<br>|2170<br>|2749<br>|3447<br>|4135<br>|4918<br>|
|70-74<br>818|855|999|<br>1157<br>|1290<br>|1530<br>|lm<br>|2271<br>|2880<br>|3494<br>|
|75+<br>840|907|9n|1103|1320|1548|1862<br>|2239<br>|2848<br>|3700<br> <br>|
|TOTAL<br>67670|74976|82023|88426|94173|99821|105596|111181|116259|<br>120720|
|FEMALES||||||||||
|0-4<br>8957|9365|9237|8746|8239|8389|8794|8928|8804<br>|8606<br>|
|5-9<br>8155|8856|9285|9175|8699|8202|8359|8770|8911|8793<br>|
|10-14<br>7453|8124|8830|9263|9157|8685|8191|8349|8763|8906<br>|
|15-19<br>6942|7423|8101|8810|9245|9142|8672|8180<br>|8340<br>|8755<br>|
|20-24<br>6797|6904|7396<br>|8078|8790<br>|9225<br>|9124<br>|8657<br>|8167<br>|8329<br>|
|25-29<br>5832|6751|6875|7373|8058|8769|9205|9105|8640|8152|
|30-34<br>4955|5786|6716|6848|7351|8035|8745|9182|9083|8621|
|35-39<br>3984|4906|5747|6682|6819|7321|8005|8715|9152|9056<br>|
|40-44<br>3155|3933|4860|5704|6639|6779|7281|7964|8673|9112|
|45-49<br>2742|3098|3877|4803|5648|6578|6720|7222<br>|<br>7904<br>|8614<br>|
|50-54<br>2291|2669|3031|3807|4730|5566|6489<br>|6635<br>|7137<br>|7819<br>|
|55-59<br>1983|<br>2201|2583|2948|3718|4626|5452|6365|6518<br>|7021<br>|
|60-64<br>1583|1860|2087|2471|2842|3592|4480|5292|6193<br>|6357<br>|
|65-69<br>1179|1422|1701|1939|2327|2686|3410<br>|4270<br>|5065<br>|5952<br>|
|70-74<br>899|978|1215|<br>1496<br>|1746<br>|2111<br>|2455<br>|3139<br>|3960<br>|4732<br>|
|75,<br>987<br> <br>|ll15<br>|1316<br>|1696<br>89841|2245<br>96252|2814<br>102519|3495<br>108877|4263<br>115037|5389<br>120702|6931<br> <br>125756|
|TOTAL<br>67894|75393|82857|||||||<br>|
|BIRTHRATE|28.6|25.4|21.9<br>|19.0<br>1|8.1<br>1|7.7<br>1|6.9|15.8|14.7|
|DEATH RATE|7.9|6.9|6.2|5.8|5.9|6.1<br> <br>|6.3<br>|6.5<br>|6.8<br>|
|RAlE OF MAT. INC.|2.07|1.84|1.56<br>|1.32<br>1|.22<br>1|.17<br>1|.07|.93|.79|
|NEI MIGRATION<br>RATE|<br>.0|-.0|-.0|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|2.07|;.84|1.56<br>1|.32<br>1|.21<br>1|.16<br>1|.07|.93|.79|
|TOTAL FERTILITY|3.490<br>|3.022<br>|2.617<br>2.|266<br>2.|139<br>2.|123<br>2.|107<br>2|.091|2.075|
|NRR|1.544<br>|1.366<br>|1.200<br>1.|051<br>1|.000<br>1|.000<br>1|.000<br>1|.000|1.000<br>|
|o(O)- BOTHSEXES|64.88<br>|67.05<br>|69.11<br>71|.08<br>72|.24<br>7|3.43<br>74|.66<br>7|5.93|77.25|
|**t1i)**- BOTHSEXES|55.75<br>|57.07<br>5|8.36<br>59<br>|.66<br>60<br> <br>|.30<br>60<br> <br>|.96<br>61.<br> <br>|65<br>6<br>|2.36<br><br>|63.11<br>|
|**IMR**<br>- BOTHSEXES|63.0<br>|53.8<br> <br>|44.9<br>3<br> <br>|6.9<br>3<br> <br>|0.9<br>2<br> <br>|5.0<br>1<br> <br>|9.1<br> <br>|13.2<br>|7.2<br>|
|**q(S-**BOTHSEXES|.0762<br>|.0641<br>.|0532<br>.0|437<br>.0|369<br>.0|300<br>.0|231<br>.|0162|.0093|
|<br>DEP.RATIO<br>68.7|<br> <br>66.0|<br>62.1|56.5|50.6|46.7|45.9|47.4|49.4|51.2|
COUNTRIES, ECONOMIES, AND TERRITORIES 73 BRAZIL Suuary Projection for 25-Year Periods

|AGE GROUP|1985|<br>2000|2025|2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL**N+F**|135564|<br>178267|<br>23696|1<br>275079|<br>290922|<br>297924|<br>302193|<br>304266|
|MALES|||||||||
|0-4|9115|9086|9191|9148|<br>9094|<br>9075|9075|<br>9076|
|5-9|8213|9501|9284|9098|9056|<br>9059|9068|<br>9071|
|10-14|7473|9564|9113|8981|9027|<br>9059|9071|<br>9071|
|15-19|6991|8910|8648|s885|<br>9031|<br>9067|<br>9070|<br>9066|
|20-24|6836|8058|8428|8917|9061|<br>9063|9052|<br>9049|
|25-29|5830|7281|<br>8858|9063|9065|<br>9027|9018|<br>9022|
|30-34|4927|6768|9250|9125|8989|<br>8967|8983|<br>8997|
|35-39|3971|6588|9250|8913|8836|<br>8908|8957|<br>8975|
|40-44|3144|5580|8543|8408|8697|<br>8874|8932|<br>8945|
|45-49|2718|4644|7629|8127|8672|<br>8857|8888|<br>8890|
|50-54|2249|3634|6736|8406|8709|<br>8776|8780|<br>8790|
|55-59|1926|2739|<br>6008|8536|8589|8560|8599|<br>8642|
|60-64|1514|2194|5457|8162|8123|8202|8358|<br>8445|
|65-69|1105|1618|4135|7012|n82|<br>7756|<br>8046|8159|
|70-74|818|1157|2880|5567|<br>6481|<br>n45|<br>7598|<br>7711|
|75+|840|1103|2848|7975|13558|<br>15652|16996|<br>17675|
|TOTAL|67670|88426|116259|134323|142270|<br>146150|148490|<br>149585|
|FEMALES|||||||||
|0-4|8957|<br>8746|8804|8732|<br>8673|<br>8653|8652|8653|
|5-9|8155|9175|8911|8695|<br>8640|8641|8648|<br>8650|
|10-14|7453|9263|8763|8593|8615|8642|8651|8651|
|15-19|6942|8810|8340|8519|8625|8655|8654|8650|
|20-24|6797|8078|8167|8580|8672|<br>8666|8651|8646|
|25-29|5832|7373|8640|8762|8707|8655|8639|8640|
|30-34|4955|6848|<br>9083|8861|8664|8619|8625|8635|
|35-39.|3984|6682|9152|8696|8549|8584|8619|8632|
|40-44|3155|5704|8673|<br>8253|8457|<br>8582|8623|8627|
|45-49|2742|4803|<br>7904|8048|<br>8493|8610|8620|8613|
|50-54|2291|3807|7137|8451|8630|<br>8615|8588|8583|
|55-59|1983|2948|<br>6518|8786|<br>8661|8529|8519|8541|
|60-64|1583|2471|6193|8708|8408|8352|8438|8496|
|65-69|1179|1939|5065|8046|7851|<br>8169|8366|8441|
|70-74|899|1496|3960|7021|7450|8051|8279|8342|
|75+|987|1696|5389|14006|21557|23752|25131|25881|
|TOTAL|67894|89841|120702|140756|148652|<br>1517m5|153704|154681|
|BIRTH RATE||25.1|17.4|13.8|12.5|12.1|11.8|11.7|
|DEATH RATE||7.0|6.1|7.9|10.3|11.1|11.3|11.5|
|NETMIGRAT|ION<br>RATE|.0|.0|.0|.0|.0|.0|.0|
|GROWTH RATE||1.83|1.14|.60|.22|.10|.06|.03|
|TOTAL FERTI|LITY|3.008|2.142|2.071|2.063|2.060|2.058|2.057|
|eCO)**-** BOTH|SEXES|67.14|73.61|78.89|82.08|83.81|85.11|85.61|
|**IHR-** BOTH S|EXES|54.2|24.9|5.7|3.2|2.6|2.2|2.0|
74 COUNTRIES, ECONOMIES, AND TERRITORIES CANADA Projection (thousards) with NRR=1 by 2030

|AGE GROUP<br>TOTAL**M+F**|1985<br>25165|<br>1990<br>1995<br>2000<br> <br>26522<br>27897<br>29158|2005<br>30254|2010<br>31189|2015<br>32003|2020<br>32738|2025<br>33351|<br>2030<br> <br>33789|
|---|---|---|---|---|---|---|---|---|
|MALES|||||||||
|0-4|938|<br>966<br>1023<br>994|973|974|<br>993|1014|1021|<br>1018|
|5-9|909|<br>956<br>980<br>1038|1006|981|980|997|1015|<br>1020|
|10-14|924|<br>923<br>968<br>992|1047|1012|986|983|998|<br>1015|
|15-19|1005|<br>937<br>934<br>978|1000|<br>1053|1016|988|984|<br>997|
|20-24|1206|<br>1026<br>955<br>951|992|1010|<br>1058|1019|989|<br>981|
|25-29|1161|<br>1233<br>1048<br>978|970|1005|1017|1062|1019|<br>985|
|30-34|1066|<br>1183<br>1250<br>1067|993|980|1010|<br>1020|1061|<br>1016|
|35-39|984|<br>1081<br>1193<br>1261|1076|999|983|1011|<br>1018|<br>1057|
|40-44|778|<br>989<br>1084<br>1196|1262|1076|997|980|1007|<br>1012|
|45-49|644|<br>775<br>983<br>1077|1189|1253|1068|990|972|<br>998|
|50-54|618|<br>631<br>760<br>965|1059|1169|1232|1051|975|<br>958|
|55-59|588|<br>594<br>609<br>737|937|1030|1137|1201|1026|<br>952|
|60-64|525|<br>550<br>560<br>578|703|897|988|1094|1158|<br>992|
|65-69|402|<br>472<br>500<br>515|537|655|840|929|1035|<br>1101|
|70-74|322|<br>338<br>404<br>436|455|478|589|761|849|<br>953|
|75+|384|<br>440<br>502<br>601|698|778|849|991|1244|<br>1504|
|TOTAL|12453|<br>13094<br>13754<br>14365|14896|15350|<br>15743|16092|<br>16371|<br>16559|
|FEMALES|||||||||
|0-4|892|<br>914<br>968<br>940|920|921|938|958|964|<br>961|
|5-9|863|<br>911<br>929<br>983|952|928|926|942|959|<br>964|
|10-14|877|<br>878<br>923<br>941|992|959|933|930|944|<br>959|
|15-19|956|<br>896<br>893<br>937|952|1000|964|937|932|<br>944|
|20-24|1171|<br>991<br>923<br>918|957|967|1011|972|940|<br>931|
|25-29|1164|<br>1211<br>1023<br>953|943|975|979|1019|975|<br>939|
|30-34|1077|<br>1194<br>1234<br>1045|971|956|983|984|1021|<br>974|
|35-39|981|1095<br>1208<br>1248|1056|979|961|987|985|<br>1019|
|40-44|769|<br>989<br>1101<br>1213|1251|1058|980|961|986|<br>983|
|45-49|639|770<br>987<br>1099|1210|1248|1055|977|958|<br>982|
|50-54|614|634<br>764<br>980|1092|1202|1240|1049|972|<br>953|
|55-59|610|605<br>626<br>755|969|1080|1190|1228|1040|<br>964|
|60-64<br>|588<br>|594<br>591<br>613<br> <br>|742|953|1064|1174|1213|<br>1028|
|65-69|473|564<br>573<br>573|597|723|932|1042|1152|<br>1192|
|70-74|405|439<br>529<br>543|547|573|696|899|1009|<br>1119|
|75+<br>|632<br>|745<br>872<br>1053<br> <br> <br> <br>|1207<br>|1317<br>|1407<br>|1589<br>|1931<br>|<br>2317<br> <br>|
|TOTAL|12712|<br>13428<br>14143<br>14793|15358|15839|16260|16646|16980|<br>17230|
|BIRTH RATE||14.5<br>14.6<br>13.5<br>1|2.7<br>|12.3<br>1|2.2<br>1|2.2<br>1|2.1|11.8|
|DEATH RATE||7.3<br>7.1<br>7.1<br>7|.2|7.6|8.0<br>|8.3<br>|8.6|9.2|
|RATE OFNA|T.INC.|.72<br>.75<br>.65<br>.|55|.47|.43|.39|.34|.26|
|NET MIGRAT|ION<br>RATE|<br>3.3<br>2.6<br>2.4<br>|1.9|1.3|.9|.6|.3|.0|
|GROUTH<br>RATE||1.05<br>1.01<br>.88<br>.|74|.61|.52|.45|.37|.26|
|TOTAL FERTI|LITY|1.680<br>1.850<br>1.881<br>1.9|12<br>1.|943<br>1.|973<br>2.0|02<br>2.0|31|2.060|
|NRR||.804<br>.886<br>.902<br>.9|19<br>.|934<br>.|949<br>.|965<br>.|979|.994|
|eCO)**-**BOTH|SEXES|76.68<br>77.84<br>78.95<br>79.|95<br>80|.51<br>81|.10<br>81|.69<br>82|.31|82.94|
|e(IS)- BOT|H SEXES|62.54<br>63.69<br>64.68<br>65.|60<br>66|.11<br>66|.64<br>67|.18<br>67|.73|68.30|
|INR- BOTH S<br>|EXES<br>|7.3<br>7.0<br>6.0<br>5<br> <br> <br> <br>|.3<br> <br> <br>|4.8<br> <br> <br>|4.3<br> <br> <br>|3.8<br> <br> <br>|3.3<br>|2.8<br>|
|**q(S)**- BOTH|SEXES|.0093<br>.0090<br>.0078<br>.00|70<br>.0|064<br>.0|058<br>.0|053<br>.0|47|.0041|
|<br>**DEP.**<br>RATIO|46.8|47.5<br>49.0<br>49.1|48.9|49.3|52.9|<br>58.1|<br>64.9|71.8|
COUNTRIES, ECONOMIES, AND TERRITORIES 75 Summry Projectfon for 25-Year Periods CANADA

|AGE GROtJP|<br>1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL N+F|25165|<br>29158|<br>33351|<br>33728|<br>33501|<br>33660|<br>33829|<br>33921|
|MALES|||||||||
|0-4|938|994|<br>1021|<br>1012|<br>1010|<br>1010|<br>1010|<br>1010|
|5-9|909|1038|<br>1015|<br>1007|<br>1008|<br>1009|<br>1010|<br>1010|
|10-14|924|992|<br>998|1003|<br>1008|<br>1010|<br>1010|<br>1010|
|15-19|1005|<br>978|<br>984|1007|<br>1010|<br>1010|<br>1009|<br>1009|
|20-24|1206|<br>951|<br>989|1014|<br>1010|<br>1008|<br>1007|<br>1007|
|25-29|1161|<br>978|1019|<br>1013|<br>1006|<br>1004|<br>1004|<br>1005|
|30-34|1066|<br>1067|<br>1061|<br>1005|<br>998|<br>1000|<br>1002|<br>1002|
|35-39|984|1261|<br>1018|<br>985|<br>991|<br>998|1000|<br>1000|
|40-"4|778|1196|<br>1007|<br>966|<br>991|<br>996|<br>997|<br>997|
|45-49|644|1077|<br>972|966|<br>993|<br>992|991|<br>991|
|50-54|618|965|975|986|984|980|980|<br>981|
|55-59|588|737|<br>1026|<br>1009|<br>962|<br>959|964|<br>967|
|60-64|525|578|1158|<br>942|921|933|943|<br>947|
|65-69|402|515|<br>1035|<br>895|<br>872|904|914|<br>917|
|70-74|322|436|849|809|823|859|866|<br>869|
|75+|384|601|1244|<br>1903|<br>1926|<br>1957|<br>2012|<br>2046|
|TOTAL|12453|<br>14365|<br>16371|<br>16520|<br>16515|<br>16630|<br>16720|<br>16768|
|FEMALES|||||||||
|0-4|892|940|964|956|<br>954|<br>954|954|<br>954<br>|
|5-9|863|983|959|<br>951|<br>952|<br>953|<br>954|954|
|10-14|877|941|944|948|<br>953|954|<br>954|<br>954|
|15-19|956|<br>937|932|952|<br>955|<br>955|<br>954|<br>954|
|20-24|1171|918|940|960|957|<br>954|<br>953|<br>953|
|25-29|1164|953|<br>975|962|955|952|<br>952|<br>953|
|30-34|1077|1045|<br>1021|957|<br>949|951|<br>952|<br>953|
|35-39|981|1248|<br>985|940|945|951|952|952|
|40-44|769|1213|<br>986|926|948|952|<br>952|<br>951|
|45-49|639|1099|<br>958|<br>933|954|<br>952|<br>950<br>|<br>950<br>|
|50-54|614|980|972|964|954|948|<br>947|947|
|55-59|610|755|1040|1003|<br>944|939|942|944|
|60-6|588|613|1213|960|922|930|938|941|
|65-69|473|<br>573|1152|949|901|926|934|935|
|70-74|405|543|1009|904|893|921|924|924|
|75+|632|1053|<br>1931|2943|2851|2837|2897|2933|
|TOTAL|12712|14793|<br>16980|17208|<br>16986|<br>17030|<br>17110|<br>17152|
|BIRTH RATE||14.2|12.3|11.6|11.8|11.7|11.7|11.6|
|DEATH RATE||7.2|8.0|11.2|12.0|11.6|11.5|11.5|
|NET MIGRATI|ON<br>RATE|2.8|1.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE||.98|.54|.04|.03|.02|.02|.01|
|TOTAL FERTI|LITY|1.809|1.972|2.068|2.069|2.068|2.067|2.067|
|eCO)**-** BOTH|SEXES|77.86|81.14|83.56|84.76|85.43|85.92|86.12|
|INR BOTH S|EXES|6.8|4.3|2.6|2.3|2.1|2.0|1.9|
76 COUNTRIE%S ECONObIES, AND TERRrrORIES CHL]E Projection (thousands) with NRR=1 by 2000

|AGE GROUP<br>1985|<br>1990<br>1995<br>2000<br>2005<br>2010<br>2015|2020|<br>2025|<br>2030|
|---|---|---|---|---|
|TOTAL<br>**M+F**<br>12121<br>|<br>13173<br>14137<br>14973<br>15763<br>16570<br>17383|18162|<br>1886|7<br>19489|
|MALES<br>04<br>|<br> <br> <br> <br>||||
|-<br>699<br> <br>|749<br>709<br>653<br>641<br>667<br>689<br> <br> <br> <br>|693|<br>680|<br>668|
|5-9<br>613<br>10-14<br>633|694<br>745<br>706<br>650<br>639<br>665<br> <br> <br> <br> <br> <br>|688<br>|<br>692<br>|<br>679|
|<br> <br>1519<br>|610<br>691<br>742<br>704<br>649<br>638<br> <br> <br> <br> <br>|664|<br>687|<br>691|
|-<br>635<br>2024<br>|628<br>607<br>688<br>739<br>701<br>647<br> <br> <br>|636|<br>663|<br>686|
|-<br>629<br> <br>|627<br>622<br>601<br>683<br>735<br>697<br> <br> <br> <br>|644|<br>634|<br>660|
|25-29<br>544<br> <br>|619<br>619<br>615<br>596<br>677<br>730<br> <br> <br> <br> <br>|693|<br>640|<br>630|
|30-34<br>460<br>|536<br>611<br>612<br>609<br>591<br>673|725|<br>690|<br>637|
|35-39<br>373<br> <br>|<br>452<br>529<br>604<br>606<br>604<br>586<br> <br> <br> <br>|668|<br>721|<br>686|
|40-44<br>318<br> <br>|366<br>445<br>521<br>596<br>599<br>598<br> <br> <br>|581|<br>662|<br>715|
|45-49<br>253<br> <br>|310<br>357<br>435<br>510<br>586<br>589<br> <br>|589|<br>573|<br>654|
|50-54<br>222<br>5559<br>|243<br>298<br>345<br>421<br>495<br>570<br> <br> <br> <br> <br>|575|<br>576|<br>562|
|-<br>190<br>6064<br>|208<br>228<br>281<br>326<br>400<br>473<br> <br> <br> <br>|547|<br>554|558|
|-<br>146<br> <br>|172<br>189<br>208<br>258<br>301<br>373<br> <br> <br>|444|517|<br>528|
|65-69<br>113<br> <br>|125<br>149<br>164<br>183<br>229<br>270<br> <br>|338|406|478|
|70-74<br>81<br>75<br>|90<br>100<br>120<br>135<br>152<br>193<br> <br> <br> <br> <br> <br>|231<br>|293|358|
|+<br>98<br> <br>|99<br>107<br>122<br>148<br>177<br>209<br> <br> <br> <br> <br> <br>|262<br>|328<br>|422|
|TOTAL<br>6007<br>FEHALES|6529<br>7006<br>7418<br>7806<br>8201<br>8598|8977|9316|9613|
|04<br>|<br> <br> <br> <br> <br>||||
|-<br>669<br>59<br>|717<br>679<br>624<br>613<br>637<br>658<br> <br> <br> <br> <br>|661|649|637|
|-<br>589<br> <br>|665<br>714<br>676<br>622<br>611<br>636<br> <br> <br> <br>|658|661|648|
|10-14<br>611<br> <br>|587<br>663<br>712<br>675<br>621<br>610<br> <br> <br>|635|657|660|
|15-19<br>616<br> <br>|609<br>585<br>661<br>710<br>673<br>621<br> <br> <br>|610|635|657|
|20-24<br>614<br> <br>|612<br>605<br>582<br>659<br>7Ua<br>672<br> <br> <br>|620|609|634|
|25-29<br>536<br> <br>|609<br>607<br>601<br>579<br>656<br>706<br> <br> <br>|671|619|608|
|30-34<br>457<br>35-39<br>377|531<br>604<br>603<br>598<br>576<br>654<br>4<br> <br> <br> <br> <br>|704<br>|669<br>|617|
|<br> <br> <br>|53<br>527<br>600<br>600<br>595<br>574<br> <br> <br>|652|702|667|
|4-44<br>329<br>45-49<br>267|373<br>449<br>522<br>596<br>596<br>592<br>324<br>369<br>443<br> <br> <br>|572<br>|649<br>|700<br>|
|<br> <br>|<br> <br> <br>517<br>591<br>592<br> <br>|588|568|646|
|50-54<br>244<br> <br>|262<br>318<br>362<br>437<br>s1o<br>583<br> <br> <br>|585|582|563|
|55-59<br>215<br> <br>|237<br>255<br>310<br>354<br>428<br>500<br> <br> <br> <br>|573|576|574|
|60-64<br>175<br> <br>|205<br>227<br>245<br>299<br>343<br>415<br> <br> <br>|487|560|564|
|65-69<br>145<br> <br>|162<br>191<br>213<br>231<br>284<br>327<br>|398|470|543|
|70-74<br>112<br> <br>|127<br>143<br>171<br>192<br>211<br>261<br> <br> <br> <br> <br> <br>|304|374|445|
|75+<br>156<br>TOTAL<br>6114|172<br>196<br>228<br>275<br>328<br>383<br>6644<br>7130<br>7555<br>7957<br>8369<br>8785|467<br>9185|571<br>9551|712<br> <br>9876|
|BIRTH RATE<br>2|<br> <br> <br> <br>3.7<br>20.7<br>17.8<br>16.5<br>16.3<br>16.0<br>15|<br>.4|<br>14.5|<br><br>13.7|
|DEATH RATE<br>|6.4<br>6.2<br>6.0<br>6.0<br>6.2<br>6.4<br>6<br> <br> <br> <br>|.6|6.8|7.2|
|RATE OF NAT. INC. 1<br> <br>|.73<br>1.46<br>1.18<br>1.05<br>1.01<br>.97<br>.8<br>|8|.76|.65|
|NETMIGRATION<br>RATE<br>|_-.6_<br>-.4<br>-.3<br>-.2<br>-. 1<br>-.1<br> <br>|.0|.0|.0|
|GROUTH<br>RATE<br>1<br>|.66<br>1.41<br>1.15<br>1.03<br>1.00<br>.96<br>.8<br> <br>|8|.76|.65|
|TOTAL FERTILITY 2.<br> <br>|730<br>2.443<br>2.185<br>2.090<br>2.086<br>2.082<br>2.07<br>|8<br>2|.074<br>2|.070|
|NRR<br>1.<br> <br>|292<br>1.160<br>1.042<br>1.000<br>1.000<br>1.000<br>1.0<br> <br> <br>|00<br>1|.000<br>1|.000|
|etO)- **BOTH**<br>SEXES 71<br>|.50<br>72.30<br>73.28<br>74.38<br>75.32<br>76.30<br>77.<br> <br> <br> <br> <br> <br>|33<br>7<br>|8.41<br>7|9.55|
|e(15)- BOTH SEXES58<br> <br>|.38<br>58.95<br>59.70<br>60.59<br>61.41<br>62.26<br>63.1<br> <br> <br> <br> <br> <br>|6<br>6|4.11<br>6|5.10|
|INR**-**BOTH SEXES<br>1<br>5BOTH0|8.1<br>15.5<br>13.0<br>10.8<br>9.5<br>8.3<br>7<br>22<br> <br> <br> <br> <br> <br>|.0<br> <br>|5.7<br> <br>|4.4<br>|
|q()- SEXES.|<br>.0191<br>.0160<br>.0134<br>.0119<br>.0105<br>*009|0<br>.|075<br>|060|
|DEP. RATIO<br>59.5|57.3<br>56.2<br>52.1<br>47.4<br>45.8<br>46.8|<br>49.3|<br>.<br>52.2|55.3|
COUNTRIES, ECONOMIES, AND TERRITORIES 77 Sumary ProJection for 25-Year Periods CHILE

|AGE**GROUP**<br>1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTALM+F<br>12121|<br>14973|<br>18867|<br>21160|<br>21963|<br>22349|<br>22581|<br>22697|
|MALES<br>4<br>||||||||
|0-<br>699<br> <br>|653<br>|680<br>|680<br>|677|676|675|<br>675|
|5-9<br>613<br> <br>|706<br>|692<br>|680<br>|675|674|<br>675|<br>675|
|10-14<br>633<br> <br>|742<br>|687<br>|673|673|674|675|675|
|15-19<br>635<br> <br>|688<br>|663|665|672|674|675|675|
|20-24<br>629<br> <br>|601<br>|634<br>|664<br>|673|674|674|673|
|25-29<br>544<br> <br>|615|640|673|675|673|672|671|
|30-34<br>460<br> <br>|612<br>|690|682|673|669|669|670|
|35-39<br>373<br> <br>|604<br>|721|675|664|_664_|667|668|
|40-44<br>318<br> <br>|521<br>|662<br>|647|653|661|665|_666_|
|45-49<br>253<br>|435|573|614|648|659|662|662|
|50-54<br>222<br> <br>|345<br>|576<br>|613|650|655|655|655|
|55-59<br>190<br> <br>|281<br>|554<br>|646|647|643|643|644|
|60-64<br>146<br> <br>|208<br>|517<br>|652|623|620|626|630|
|65-69<br>113<br> <br>|164<br>|406<br>|566<br>|572<br>|588|603|609|
|70-74<br>81<br> <br>|120<br>'|293<br>|447<br>|507<br>|550<br>|570|577|
|75+<br>98<br>|-?<br>|328|829|1115|1234|1303|1340|
|TOTAL<br>6007<br>|74.8|9316|10407|10795|10990|11107|11166|
|FEMALES<br> <br>||||||||
|0-4<br>669<br> <br>|624<br>|649<br>|649|646|644|644|644|
|5-9<br>589<br> <br>|676<br>|661<br>|648|644|643|643|644|
|10-14<br>611<br> <br>|712|657|642|641|<br>643|644|644|
|15-19<br>616<br> <br>|661<br>|635<br>|635<br>|641|643|644|644|
|20-24<br>614<br>2529<br>|582<br>|609<br>|636<br>|644<br>|644<br>|644|643|
|-<br>536<br> <br>|601<br>|619<br>|647<br>|647<br>|644<br>|643|643|
|30-34<br>457<br> <br>|603<br>|669|658|646|642|642|642|
|35-39<br>377<br> <br>|600|702|653|639|639|641|642|
|40-6<br>329<br> <br>|522|649|629|631|638|641|642|
|45-49<br>267<br> <br>|443|568|602|630|640|641|641|
|50-54<br>244<br> <br>|362<br>|582<br>|607|638|641|640|639|
|55-59<br>215<br> <br>|310<br>|576<br>|651|645|637|635|636|
|60-64<br>175<br> <br>|245<br>|560<br>|674<br>|635|626|629|633|
|65-69<br>145<br> <br>|213<br>|470<br>|610|603|612|624|629|
|70-74<br>112<br> <br>|171<br>|374<br>|515<br>|563|601|617|622|
|75+<br>156<br> <br>|228<br>|571<br>|1298<br>|1675<br>|1819<br>|1902|1944|
|TOTAL<br>6114|7555|9551|10753|11168|11358|11474|11531|
|BIRTH RATE|20.6|15.7|13.1|12.2|11.9|11.8|11.7|
|DEATH RATE|6.2|6.4|8.6|10.7|11.2|11.4|11.5|
|NET MIGRATION<br>RATE<br> <br>|-. 5<br>|-. 1<br>|.0<br>|.0|.0|.0|.0|
|GROWTH<br>RATE<br>|1.41<br>|.92<br> <br>|.46<br>|.15|.07|.04|.02|
|TOTALFERTILITY<br>|2.448<br>|2.082<br> <br> <br>|2.067<br>|2.062|2.059|2.058|2.057|
|e(O)- **BOTH**SEXES<br>|72.40<br>|76.44<br>|80.79|83.17|84.47|85.44|85.82|
|**IMR-** BOTH SEXES|15.6|8.2|3.8|2.8|2.4|2.1|2.0|
78 COUNTRIES, ECONOMIES, AND TERRITORIES

# **COLOMBIA**

Projectfon (thousands) with NRR=I by 2000

|AGEGROUP<br>1985|<br>1990|<br>1995|<br>2000|2005|2010|<br>2015|<br>2020|202|5<br>2030|
|---|---|---|---|---|---|---|---|---|---|
|TOTAL**M+F**<br>29481|<br>32345|<br>35074|<br>37622|40186|42820|<br>45391|<br>47794|<br>4998|2<br>51963|
|MALES||||||||||
|0-4<br>2004|<br>1938|<br>1887|<br>1799|1816|1878|<br>1898|<br>1883|185|6<br>1846|
|5-9<br>1947|<br>1980|<br>1916|<br>1870|1787|1808|<br>1871|<br>1893|187|9<br>1853|
|10-14<br>1756|<br>1933|<br>1967|<br>1907|1863|1782|<br>1804|<br>1868|189|0<br>1877|
|15-19<br>1788<br> <br>|<br>1740<br> <br>|<br>1918<br> <br>|<br>1954<br>|1897|1855|<br>1776|<br>1799|186|3<br>1886|
|20-24<br>1550|<br>1758|<br>1713|<br>1895|1936|1884|<br>1845|<br>1767|179|0<br>1855|
|25-29<br>1262|<br>1513|<br>1724|<br>1686|1873|1921|<br>1871|<br>1833|175|7<br>1781|
|30-34<br>1029|<br>1230|<br>1483|<br>1697|1666|1857|<br>1907|<br>1859|182|2<br>1747|
|35-39<br>801|<br>1003|<br>1204|<br>1459|1676|1650|<br>1842|<br>1892|184|6<br>1811|
|40-44<br>602|779|979|<br>1181|1437|1655|<br>1631|<br>1822|187|4<br>1830|
|45-49<br>478|582|755|<br>953|1155|1408|<br>1625|<br>1604|179|5<br>1848|
|50-54<br>398|456|557|<br>725|919|1117|<br>1366|<br>1580|156|3<br>1753|
|55-59<br>336|371|427|<br>523|684|871|<br>1063|<br>1305|151|6<br>1506|
|60-64<br>284<br> <br>|303<br>|336|<br>388|477|628|<br>805|<br>989|122|3<br>1431|
|65-69<br>209|243|260|<br>290|337|418|<br>556|<br>720|893|<br>1115|
|70-74<br>151|163|191|<br>207|234|275|<br>347|<br>467|612|<br>769|
|75+<br>163|172|187|<br>218|252|293|<br>352|<br>443|595|<br>807|
|TOTAL<br>14758<br>|<br>16164|<br>17504|<br>18752|20007|21300|<br>22558|<br>23725|2477|6<br>25715|
|FEMALES||||||||||
|0-4<br>1902|<br>1863|<br>1812|<br>1726|1741|1798|<br>1816|<br>1800|1773|<br>1761|
|5-9<br>1857|1881|1845|<br>1798|1716|1734|<br>1793|<br>1812|1797|<br>1771|
|10-14<br>1684|1846|1871|<br>1837|1793|1713|<br>1732|<br>1791|1811|<br>1796|
|15-19<br>1730<br>|1673|1835|<br>1863|1832|1790|<br>1711|<br>1730|1789|<br>1809|
|20-24<br>1526|1711|1656|<br>1822|1854|1827|<br>1786|<br>1708|1727|<br>1787|
|25-29<br>1278<br> <br>|1503<br>|1690<br>|<br>1640<br> <br>|1811<br>|1847<br>|<br>1822<br> <br>|<br>1782<br> <br>|1704<br>|<br>1724<br> <br>|
|30-34<br>1067|1259|1485|<br>1675|1630|1804|<br>1842|<br>1817|1778|<br>1700|
|35-39<br>829|1052|1243|<br>1471|1664|1622|<br>1796|<br>1835|1811|<br>1772|
|40-44<br>618|816|1037|<br>1230|1459|1652|<br>1612|<br>1786|1825|<br>1802|
|45-49<br>504<br> <br>|606|803|1023|1215|1443|<br>1636|<br>1597|1772|<br>1812|
|50-54<br>432|492|592|786|1004|1195|<br>1421|<br>1613|1577|<br>1752|
|55-59<br>368<br> <br>|416<br>|475|574|765|979|1167|<br>1391|1583|<br>1551|
|60-64<br>312|348|395|453|550|735|944|1129|1351|<br>1542|
|65-69<br>235|284|318|364|421|514|692|894|1077|<br>1296|
|70-74<br>177|199|243|276|321|375|463|630|824|<br>1003|
|75.<br>203<br>TOTAL<br>14723|232<br>16181|270<br>17570|332<br> <br>18871|405<br>20179|492<br>21520|599<br> <br>22|752<br>|1008<br>|<br>1369<br> <br>|
|<br>|||<br>|||<br>833|24069|25206|<br>26247|
|BIRTH RATE|25.8|22.9|20.1<br>1|8.8<br>1|8.1|17.2|16.1<br>1|5.0|14.3|
|DEATH RATE|6.0|5.6|5.4<br>|5.3<br>|5.4|5.5|5.7|6.1|6.5|
|RATE OF NAT. INC.|1.98|1.73|1.47<br>1|.36<br>1|.28|1.17|1.03|.90|.78|
|NET MIGRATION<br>RATE|-1.3|-1.1|-.7<br>-|.4<br>-|.1|.0|.0|.0|.0|
|GROWTH<br>RATE|1.85|1.62|1.40<br>1|.32<br>1|.27|1.17|1.03|.90|.78|
|TOTAL FERTILITY2|.900<br>2|.549<br>|2.241<br>2.1|28<br>2.1|18<br>|2.107<br>|2.097<br>2.|086|2.076|
|NRR<br>1|.333<br>1|.180<br>|1.046<br>1.0|00<br>1.0|00<br>|1.000<br>|1.000<br>1.|000|1.000|
|eCO)- BOTH SEXES6|8.21<br>6|9.20<br>|70.40<br>71|.73<br>72|.83<br>|73.99<br>|75.19<br>76|.45|77.76|
|**e15)**- BOTHSEXES5<br> <br>|6.95<br>5<br>|7.57<br>|58.31<br>59.|21<br>59.|98<br>6|0.80<br>6|1.65<br>62|.55<br>|63.50|
|**INR**<br>- BOTHSEXES<br>|40.0<br> <br> <br>|35.6<br> <br>|30.1<br>24<br> <br>|.9<br>21<br> <br>|.1<br> <br>|17.3<br> <br>|13.6<br> <br> <br>|9.8<br>|6.0<br>|
|qC5)- BOTH SEXES.|0474<br>.|0422<br>|.0358<br>.02|99<br>.02|55<br>.|0211<br>.|0167<br>.0|123|.0079|
|<br>DEP.RATIO<br>71.5|64.9|57.2|50.5|46.1|44.0|44.2|<br>45.5|<br>47.2|49.7|
COUNTRIES, ECONOMIES, AND TERRITORIES 79 COLOMBIA Summary Projection for 25-Year Periods

|AGE GROUP|1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL M+F|29481|<br>37622|<br>49982|<br>57482|<br>59926|<br>61265|<br>62096|<br>62499|
|MALES|||||||||
|0-4|2004|1799|<br>1856|<br>1869|<br>1867|<br>1864|<br>1864|<br>1863|
|5-9|1947|<br>1870|<br>1879|<br>1873|<br>1865|<br>1862|<br>1862|<br>1862|
|10-14|1756|<br>1907|<br>1890|<br>1867|<br>1860|<br>1860|<br>1862|<br>1862|
|15-19|1788|<br>19S4|<br>1863|<br>1849|<br>1855|<br>1860|<br>1861|<br>1861|
|20-24|1550|<br>1895|<br>1790|<br>1833|<br>1852|<br>1858|<br>1858|<br>1858|
|25-29|1262|<br>1686|<br>1757|<br>1834|<br>1853|<br>1854|<br>1853|<br>1853|
|30-34|1029|<br>1697|<br>1822|<br>1850|<br>1852|<br>1847|<br>1847|<br>1847|
|35-39|801|1459|<br>1846|<br>1852|<br>1839|<br>1837|<br>1840|<br>1842|
|40-44|602|1181|<br>1874|<br>1815|<br>1812|<br>1824|<br>1833|<br>1836|
|45-49|478|953|1795|<br>1731|<br>1785|<br>1812|<br>1823|<br>1826|
|50-54|398|725|1563|<br>1673|<br>1766|1796|<br>1805|<br>1807|
|55-59|336|523|1516|<br>1692|<br>1747|<br>1767|<br>1773|<br>1778|
|60-64|284|388|1223|<br>1646|<br>1697|1712|<br>1726|<br>1737|
|65-69|209|290|893|1566|<br>1586|1624|<br>1658|<br>1677|
|70-74|151|207|612|1350|<br>1402|1503|<br>1560|<br>1586|
|75+|163|218|595|2011|<br>2848|3276|<br>3540|<br>3664|
|TOTAL|14758|<br>18752|<br>24776|<br>28311|<br>29485|<br>30156|<br>30563|<br>30758|
|FEMALES|||||||||
|0-4|1902|1726|1773|<br>1782|<br>1780|1777|<br>1777|<br>1776|
|5-9|1857|1798|1797|<br>1787|<br>1778|<br>1776|<br>1775|<br>1776|
|10-14|1684|1837|1811|<br>1782|<br>1774|1774|<br>1775|<br>1776|
|15-19|1730|1863|1789|<br>1767|<br>1770|1774|<br>1776|<br>1776|
|20-24|1526|1822|1727|<br>1756|<br>1771|1776|<br>1775|<br>1775|
|25-29|1278|1640|1704|<br>1764|<br>1777|1776|<br>1774|<br>1774|
|30-34|1067|1675|1778|<br>1787|<br>1780|1774|<br>1772|<br>1773|
|35-39|829|1471|1811|<br>1797|<br>1772|<br>1768|<br>1770|<br>1771|
|40-44|618|1230|1825|<br>1770|<br>1754|1761|<br>1768|<br>1770|
|45-49|504|1023|1m|1701|<br>1737|1758|<br>1766|<br>1768|
|50-54|432|786|1577|<br>1666|1737|1758|<br>1762|<br>1763|
|55-59|368|574|1583|<br>1718|1745|1752|<br>1753|<br>1755|
|<br>60-64|<br>312|<br>453|<br>1351|<br>1720|<br>1735|1731|<br>1737|<br>1744|
|65-69|235|364|1077|1688|1681|1693|<br>1716|<br>1730|
|70-74|177|276|824|1567|1571|1645|<br>1690|<br>1708|
|75+|203|332|1008|3120|4277|4816|5146|<br>5308|
|TOTAL|14723|18871|25206|<br>29170|30441|31109|<br>31533|<br>31741|
|BIRTHRATE||22.8|16.9|13.5|12.4|12.0|11.8|11.7|
|DEATH RATE||5.6|5.6|8.0|10.7|11.2|11.3|11.5|
|NET MIGRAT|ION<br>RATE|-1.0|-. 1|.0|.0|.0|.0|.0|
|GROWTH<br>RATE||1.63|1.14|.56|.17|.09|.05|.03|
|TOTAL FERTI|LITY|2.546|2.107|2.072|2.064|2.060|2.058|2.058|
|eCO)- BOTH|SEXES|69.33|74.17|79.31|82.30|83.94|85.17|85.66|
|<br>INR- BOTHS|EXES|35.4|17.3|5.0|3.1|2.5|2.2|2.0|
80 COUNTRIES, ECONOMIES, AND TERRITORIES

# COSTA RICA

Projection (thousands) with NRR-1 by 2005

|AGE GROUP<br>1985<br>TOTALM+F<br>2489|1990<br>1995<br>2000<br>2807<br>3106<br>3377|2005<br>3623|2010<br>3867|2015<br>4117|2020<br>2025<br>4360<br>4583|2030<br>4702|
|---|---|---|---|---|---|---|
|MALES|||||||
|0-4<br>175|185<br>179<br>168|159|163|172|175<br>172|168|
|5-9<br>157|174<br>184<br>178|168|159|163|172<br>175|<br>172|
|10-14<br>135|157<br>174<br>184|178|168|159|163<br>172|175|
|15-19<br>139|134<br>157<br>174|184|178|167|159<br>163|<br>172|
|20-24<br>135|139<br>134<br>156|173|183|177|167<br>158|<br>162|
|25-29<br>116|134<br>138<br>133|155|172|182|176<br>166|<br>157|
|30-34<br>91|115<br>133<br>137|132|154|171|181<br>176|<br>165|
|35-39<br>71|91<br>114<br>132|136|132|154|171<br>181|<br>175|
|40-44<br>55|70<br>90<br>113|131|135|131|152<br>169|179|
|45-49<br>44|54<br>69<br>89|112|130|134|129<br>151|168|
|50-54<br>39|43<br>52<br>67|87|110|127|131<br>127|148|
|55-59<br>32|37<br>42<br>51|65|84|106|124<br>128|124|
|60-64<br>24|30<br>35<br>39|48|62|80|102<br>119|123|
|65-69<br>19|22<br>27<br>32|36|44|58|75<br>96|112|
|70-74<br>13|16<br>19<br>24|28|32|40|52<br>68|88|
|75+<br>13|17<br>21<br>27|34|42|50|62<br>80|106|
|TOTAL<br>1258|1418<br>1569<br>1704|1827|1948|2072|2191<br>2300|2395|
|FEMALES|||||||
|0-4<br>168|177<br>171<br>161|152|156|164|167<br>164|160|
|5-9<br>151|167<br>177<br>171|160|152|156|164<br>167|164|
|10-14<br>129|151<br>167<br>176|170|160|152|156<br>164|167|
|15-19<br>134|129<br>151<br>167|176|170|160|152<br>156|164|
|20-24<br>130|134<br>129<br>150|167|176|170|160<br>152|155|
|25-29<br>112|130<br>133<br>129|150|166|176|170<br>160|151|
|30-34<br>90|112<br>129<br>133|128|150|166|175<br>169|159|
|35-39<br>70|89<br>111<br>129|133|128|149|166<br>175|169|
|40-44<br>54|69<br>89<br>111|128|132|127|149<br>165|174|
|45-49<br>45|53<br>69<br>88|110|127|131|127<br>148|164|
|50-54<br>39|45<br>53<br>68|87|109|126|130<br>125|147|
|55-59<br>32|38<br>44<br>51|67|85|107|124<br>128|124|
|60-64<br>25|31<br>37<br>42|50|65|83|105<br>122|126|
|65-69<br>20|24<br>29<br>35|40|48|63|81<br>102|119|
|70-74<br>1S|18<br>22<br>27|32|38|45|59<br>77|97|
|75+<br>17|22<br>28<br>36|46|57|70|86<br>110|145|
|TOTAL<br>1231|1389<br>1538<br>1673|1797|1919|2046|2169<br>2283|2386|
|BIRTH RATE<br>27|.9<br>24.1<br>20.6<br>1|8.0<br>1|7.3<br>1|7.0<br>1|6.3<br>15.1<br>|14.1|
|DEATH RATE<br>3|.9<br>3.8<br>3.9<br>|4.0<br>|4.2<br>|4.5<br>4|.8<br>5.1|5.6|
|RATE OF MAT. INC. 2|.41<br>2.03<br>1.67<br>1|.41<br>1|.30<br>1|.25<br>1|.15<br>1.00|.85|
|NET MIGRATION<br>RATE|.0<br>.0<br>.0|.0|.0|.0|.0<br>.0|.0|
|GROWTH<br>RATE<br>2.|41<br>2.03<br>1.67<br>1|.41<br>1|.30<br>1|.25<br>1|.15<br>1.00|.85|
|TOTAL FERTILITY 3.|260<br>2.858<br>2.506<br>2.|197<br>2.|085<br>2.|080<br>2.|076<br>2.071<br>2|.067|
|NRR<br>1.|545<br>1.359<br>1.196<br>1.|052<br>1.|000<br>1.|000<br>1.|000<br>1.000<br>1|.000|
|eCo)- BOTH SEXES 74|.64<br>75.48<br>76.42<br>77|.40<br>78|.16<br>78|.94<br>79|.75<br>80.58<br>8|1.45|
|e(15)- BOTH SEXES 61|.52<br>62.13<br>62.85<br>63|.62<br>64|.22<br>64|.85<br>65|.50<br>66.18<br>6|6.87|
|IMR- BOTH SEXES<br>17<br>|.9<br>15.5<br>13.1<br>1<br> <br> <br> <br>|0.9<br> <br> <br>|9.4<br>7<br> <br>|.9<br>6<br> <br>|.4<br>4.9<br> <br> <br>|3.4<br>|
|qtS)- BOTH SEXES .0|219<br>.0189<br>.0161<br>.0|135<br>.0|118<br>.0|100<br>.0|083<br>.0066<br>.|0048|
|<br>DEP. RATIO<br>68.5|67.5<br>62.9<br>56.4|49.7|46.0|45.7|47.9<br>50.9|53.8|
COUNTRIES, ECONOMIES, AND TERRITORIES 81 Summary Projection for 25-Year Periods COSTA RICA

|AGE GROUP<br>1985|<br>2000|2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTAL M+F<br>2489<br>|3377|4583|<br>5329|<br>5566|<br>5640|<br>5681|<br>5702|
|MALES<br> <br>||||||||
|0-4<br>175<br>|168<br>|172|<br>171|<br>170|<br>169|<br>169|<br>169|
|5-9<br>157<br> <br>|<br>178<br>|175|<br>170|<br>169|<br>169|<br>169|<br>169|
|10-14<br>135<br>|184|172|168|<br>168|<br>169|<br>169|<br>169|
|15-19<br>139<br>|174|163|166|<br>169|<br>169|<br>169|<br>169|
|20-24<br>135<br>|156|158|167|<br>169|<br>169|<br>169|<br>169|
|25-29<br>116<br> <br>|133<br>|166|171|<br>170|<br>169|168|<br>168|
|30-34<br>91<br> <br>|137|176|173|<br>169|<br>168|168|<br>168|
|35-39<br>71<br>|132|181|170|<br>166|<br>167|167|<br>168|
|40-44<br>55<br>|113|169|160|<br>164|<br>166|167|<br>167|
|45-49<br>44<br> <br>|89|151|154|<br>16"|166|166|<br>166|
|50-54<br>39<br>|67|<br>127|<br>160|166|<br>165|165|<br>164|
|55-59<br>32<br> <br>|51|128|166|165|162|161|<br>162|
|60-64<br>24<br> <br>|39<br>|119<br>|166|158|156|157|<br>158|
|65-69<br>19<br> <br>|32<br>|96<br>|149|144|149|152|153|
|70-74<br>13<br> <br>|24<br>|68<br>|124<br>|130|141|145|146|
|715<br>13<br> <br>|27<br>|80<br>|213|309|326|335|341|
|TOTAL<br>1258<br>|1704|2300|2649|2749|2780|2798|2807|
|FEMALES<br> <br>||||||||
|0-4<br>168|161|164|163|162|161|161|161|
|5-9<br>151<br> <br>|171<br>|167|162|161|161|161|161|
|10-14<br>129<br> <br>|176|164|160|161|161|161|161|
|15-19<br>134<br> <br>|167<br>|156<br>|159|161|161|161|161|
|20-24<br>130<br>|150|152|160|162|162|161|161|
|25-29<br>112<br>|129|160|163|163|162|161|161|
|30-34<br>90<br> <br>|133|169|166|162|161|161|161|
|35-39<br>70<br> <br>|129<br>|175<br>|163<br>|160|160|161|161|
|40-44<br>54<br> <br>|111<br>|165|154|158|160|161|161|
|45-49<br>45<br> <br>|88|148|150|158|161|161|161|
|50-54<br>39<br> <br>|68<br>|125|157|162|161|160|160|
|55-59<br>.32<br> <br>|51<br>|128|165|163|160|159|159|
|60-64<br>LS|42|122|169|159|157|158|159|
|65-69<br>20<br> <br>|35<br>|102|156|149|153|157|158|
|70-74<br>15<br> <br>|27<br>|77<br>|136|141|152|155|156|
|75+<br>17<br> <br>|36<br>|110<br>|295|437|466|482|490|
|TOTAL<br>1231|1673|2283|2680|2818|2859|2883|2894|
|BIRTH RATE|24.0|16.7|13.2|12.1|11.8|11.7|11.7|
|DEATH RATE|3.9|4.6|7.3|10.4|11.3|11.4|11.5|
|NET MIGRATION<br>RATE<br> <br>|.0|.0|.0|.0|.0|.0|.0|
|GROUTH<br>RATE|2.03<br>|1.22<br>|.60|.17|.05|.03|.01|
|TOTAL FERTILITY<br>|2.850<br>|2.100<br>|2.065<br>|2.061<br>|2.059|2.058|2.057|
|eCO)**-** BOTH SEXES|75.58|79.06|82.35|84.06|85.00|85.70|85.99|
|INR**-** BOTH SEXES|15.6|7.9|3.1|2.5|2.2|2.0|2.0|
82 COUNTRIES, ECONOMIES, AND TERITORIES CUBA Projection (thousands) with NRREI by 2030

|AGE GROUP<br>198|5<br>1990<br>1995<br>2000<br>2005|2010<br>2015<br>2020<br>202|5<br>2030|
|---|---|---|---|
|TOTAL<br>M+F<br>1009|8<br>10617<br>11099<br>11615<br>12064|<br>12449<br>12800<br>13142<br>1346|1<br>13738|
|MALES||||
|0-4<br>401<br>|<br>463<br>468<br>463<br>433|411<br>411<br>424<br>435|<br>435|
|5-9<br>390<br> <br>|<br>397<br>457<br>466<br>461<br> <br> <br> <br> <br>|431<br>409<br>410<br>423|<br>434|
|10-14<br>575<br> <br>|<br>387<br>393<br>455<br>464<br> <br>|459<br>430<br>408<br>409|<br>423|
|15-19<br>606<br> <br>|<br>5n<br>383<br>391<br>453<br> <br> <br> <br>|462<br>458<br>429<br>408|<br>409|
|20-24<br>562<br> <br>|<br>599<br>563<br>379<br>387<br>|449<br>459<br>456<br>428|<br>407|
|25-29<br>362<br>|<br>554<br>588<br>557<br>374|383<br>446<br>456<br>453|<br>426|
|30-34<br>363<br> <br>|<br>355<br>544<br>582<br>552<br> <br> <br>|371<br>380<br>443<br>454|<br>452|
|35-39<br>337|<br>357<br>348<br>538<br>577|548<br>368<br>378<br>441|<br>452|
|40-44<br>299|<br>331<br>350<br>343<br>533|572<br>543<br>365<br>375|<br>438|
|45-49<br>263|<br>293<br>324<br>345<br>339|527<br>566<br>538<br>362|<br>372|
|50-54<br>206<br>|<br>256<br>286<br>317<br>338|332<br>518<br>556<br>529|<br>356|
|55-59<br>190<br> <br>|<br>198<br>247<br>277<br>308<br>|328<br>323<br>504<br>543|<br>517|
|60-64<br>155<br> <br>|<br>179<br>187<br>234<br>264<br> <br> <br> <br>|295<br>315<br>311<br>487<br> <br>|<br>525|
|65-69<br>146<br> <br>|140<br>164<br>173<br>218<br> <br> <br> <br>|247<br>276<br>297<br>294|<br>462|
|70-74<br>116<br> <br>|125<br>122<br>143<br>153<br> <br> <br> <br>|195<br>222<br>251<br>272<br> <br> <br> <br>|<br>271<br>|
|75+<br>162<br> <br>|176<br>193<br>204<br>231<br> <br> <br>|259<br>313<br>373<br>438|<br>498|
|TOTAL<br>5134<br>|5382<br>5615<br>5867<br>6085|6270<br>6438<br>6600<br>6750|<br>6879|
|FEMALES<br> <br>|<br> <br> <br>|<br>||
|0-4<br>375<br> <br>|439<br>444<br>439<br>411<br> <br>|389<br>389<br>402<br>411|<br>412|
|5-9<br>365<br>114<br>|371<br>433<br>442<br>437<br> <br> <br> <br>|409<br>388<br>388<br>401<br> <br> <br> <br>|<br>411<br> <br>|
|0-<br>542<br>|363<br>368<br>432<br>440|435<br>408<br>387<br>388|<br>401|
|15-19<br>568<br>|539<br>358<br>365<br>430|438<br>434<br>407<br>387|<br>388|
|20-24<br>545<br> <br>|<br>562<br>530<br>354<br>362<br> <br>|427<br>436<br>433<br>406|<br>386|
|25-29<br>360<br> <br>|538<br>552<br>525<br>351<br> <br> <br> <br>|359<br>424<br>434<br>431<br> <br>|<br>406|
|3034<br>361<br> <br>|355<br>530<br>547<br>522<br> <br> <br> <br>|348<br>357<br>423<br>433|<br>431|
|35-39<br>341<br> <br>|357<br>349<br>526<br>544<br> <br> <br> <br>|519<br>346<br>355<br>421<br> <br>|432|
|40-44<br>299<br> <br>|337<br>352<br>346<br>522<br>|541<br>516<br>344<br>354|420|
|45-49<br>257<br> <br>|<br>295<br>332<br>349<br>343<br> <br> <br>|518<br>537<br>513<br>342|<br>352|
|50-54<br>204<br> <br>|253<br>290<br>328<br>344<br> <br> <br> <br>|339<br>513<br>532<br>508|340|
|55-59<br>188<br> <br>|199<br>247<br>284<br>322<br>|339<br>334<br>506<br>525|503|
|60-64<br>146<br> <br>|<br>181<br>192<br>239<br>277<br>|314<br>331<br>327<br>497|<br>517|
|65-69<br>142<br> <br>|137<br>171<br>182<br>229<br>|266<br>303<br>320<br>318|485|
|70-74<br>116<br> <br>|127<br>124<br>156<br>169<br> <br> <br> <br>|214<br>250<br>286<br>305|305|
|75+<br>154<br>TOTAL<br>4964|183<br>213<br>234<br>278<br> <br>5235<br>5484<br>5748<br>5979|325<br>397<br>485<br>582<br>6179<br>6362<br>6542<br>6711|672<br> <br>6859|
|BIRTH RATE|<br> <br> <br>17.7<br>17.1<br>16.1<br>14.4<br>13|<br> <br> <br> <br>.2<br>12.8<br>12.8<br>12.8|<br><br>12.5|
|DEATH RATE|6.5<br>6.4<br>6.3<br>6.3<br>6|.5<br>6.9<br>7.3<br>7.9|8.4|
|RATE OF NAT. INC.|1.13<br>1.07<br>.98<br>.82<br>.|67<br>.59<br>.55<br>.49|.41|
|NET MIGRATION<br>RATE|-1.2<br>-1.8<br>-.7<br>-.6<br>-|.4<br>-.3<br>-.2<br>-.1|.0|
|GROWTH<br>RATE|1.00<br>.89<br>.91<br>.76<br>.|63<br>.56<br>.53<br>.48|.41|
|TOTAL FERTILITY 1|.900<br>1.900<br>1.900<br>1.928<br>1.|955<br>1.982<br>2.009<br>2.036<br>|2.062|
|NRR<br>|.903<br>.905<br>.908<br>.923<br>.9<br> <br> <br> <br> <br>|38<br>.952<br>.966<br>.981<br>|.995|
|e(O)- BOTH SEXES 7<br>|5.21<br>76.27<br>77.33<br>78.38<br>79.<br> <br> <br> <br>|06<br>79.76<br>80.49<br>81.24<br>8|2.02|
|eCIS)- BOTH SEXES 6<br> <br>|1.63<br>62.46<br>63.35<br>64.27<br>64.<br> <br> <br> <br> <br>|85<br>65.46<br>66.09<br>66.74<br><br> <br>|67.42|
|IMR - BOTH SEXES<br> <br>|13.3<br>10.7<br>8.8<br>7.4<br>6<br> <br> <br> <br> <br>|.6<br>5.7<br>4.9<br>4.0<br> <br> <br>|3.2|
|q(S)- BOTH SEXES .|0163<br>.0133<br>.0111<br>.0095<br>.00|85<br>.0075<br>.0065<br>.0055<br>|0045|
|DEP. RATIO<br>52.7|45.3<br>47.0<br>48.4<br>48.2|<br>.<br>48.0<br>48.8<br>50.9<br>53.2|<br>61.1|
COUNTRIES, ECONOMIES, AND TERRITORIES 83 Summary Projection for 25-Year Periods CIU1BA

|AGE GROUP|1985|2000|2025|<br>2050|2075|2100|2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL M+F|10098|11615|13461|14127|<br>14064|<br>14146|<br>14234|<br>14283|
|MALES|||||||||
|0-4|401|463|435|426|424|425|425|425|
|5-9|390|466|423|421|424|425|425|425|
|10-14|575|455|409|420|425|426|425|425|
|15-19|606|391|408|426|427|426|425|425|
|20-24|562|379|428|433|427|424|424|424|
|25-29|362|557|453|431|423|422|423|423|
|30-34|363|582|454|419|417|420|422|422|
|35-39|337|538|441|404|415|420|421|421|
|40-44|299|343|375|400|419|421|420|420|
|45-49|263|345|362|418|425|419|417|417|
|50-54|206|317|529|438|419|412|412|413|
|55-59|190|277|<br>543|432|401|401|405|407|
|60-64|155|234|487|408|378|391|398|399|
|65-69|146|173|294|334|362|382|386|387|
|70-74|116|143|272|301|356|367|366|366|
|75+|162|204|438|912|831|822|844|860|
|TOTAL|5134|5867|6750|7023|6973|<br>7005|7039|7058|
|FEMALES|||||||||
|0-4|375|439|411|403|402|402|403|403|
|5-9|365|442|401|399|401|403|403|403|
|10-14<br>|542<br>|432<br>|388<br>|398<br>|402<br>|403<br>|403<br>|403<br>|
|15-19|568|365|387|403|405|403|403|403|
|20-24|545|354|406|411|405|403|402|402|
|25-29|360|525|431|410|402|401|402|402|
|30-34|361|547|433|400|398|400|402|402|
|35-39|341|526|421|386|396|401|402|402|
|40-44|299|346|354|384|401|403|402|402|
|45-49|257|349|342|402|408|403|401|401|
|50-54|204|328|508|425|406|399|399|399|
|55-59|188|284|525|423|393|393|396|398|
|60-64|146|239|497|407|377|389|396|397|
|65-69|142|182|318|336|370|391|395|395|
|70-74|116|156|305|316|380|391|390|389|
|75+|154|234|582|1201|1145|1156|1198|1224|
|TOTAL|4964|5748|6711|7103|7091|7141|7195|7225|
|BIRTH RATE||17.0|13.2|11.9|11.8|11.8|11.7|11.6|
|DEATH RATE||6.4|7.0|10.0|12.0|11.6|11.5|11.5|
|NET MIGRATI|ON<br>RATE|-1.2|-. 3|.0|.0|.0|.0|.0|
|GROWTH<br>RATE||.93|.59|.19|-. 02|.02|.02|.01|
|TOTAL FERTI|LITY|1.933|1.982|2.069|2.067|2.066|2.064|2.064|
|eCO)<br>**-** BOTH|SEXES|76.30|79.83|82.79|84.31|85.15|85.78|86.03|
|**IMR-** BOTH S|EXES|11.0|5.7|2.9|2.4|2.2|2.0|1.9|
## 84 COUNTRIES, ECONOMIES, AND TERRITORIES

# DOM IMCA

ProJection (thousands) wfth NRRa1 by 2000

|AGE GROUP<br>1985<br>1990<br>1995<br>2000<br>2005<br>2010<br>2015<br>2020<br>2025<br>2030|
|---|
|TOTAL**M+F**<br>74<br>72<br>74<br>79<br>85<br>91<br>97<br>102<br>108<br>113|
|MALES|
|0-4<br>4<br>4<br>4<br>4<br>4<br>4<br>4<br>4<br>4<br>4<br> <br> <br>|
|5-9<br>5<br>4<br>4<br>4<br>4<br>4<br>4<br>4<br>4<br>4|
|10-14<br>5<br>5<br>3<br>4<br>4<br>4<br>4<br>4<br>4<br>4<br>|
|15-19<br>5<br>5<br>5<br>3<br>4<br>4<br>4<br>4<br>4<br>4|
|20-24<br>4<br>4<br>5<br>4<br>3<br>4<br>4<br>4<br>4<br>4|
|25-29<br>2<br>3<br>4<br>5<br>4<br>3<br>4<br>4<br>4<br>4|
|30-34<br>2<br>2<br>3<br>4<br>5<br>4<br>3<br>4<br>4<br>4|
|35-39<br>1<br>1<br>2<br>2<br>4<br>5<br>4<br>3<br>4<br>4|
|40-44<br>1<br>1<br>1<br>2<br>2<br>3<br>4<br>4<br>3<br>4|
|<br><br>45-49<br>1<br>1<br>1<br>1<br>1<br>2<br>3<br>4<br>4<br>3|
|50-54<br>1<br>1<br>1<br>1<br>1<br>1<br>2<br>3<br>4<br>4|
|55-59<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>2<br>3<br>4|
|60-64<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>2<br>3<br> <br>|
|65-69<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>2<br>|
|70-74<br>1<br>1<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<br>|
|TOTAL<br>35<br>34<br>36<br>38<br>41<br>44<br>47<br>50<br>53<br>56<br>|
|FEMALES|
|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>5<br>4<br>4<br>4<br>4<br>4<br>4<br>4<br>4<br>4|
|10-14<br>6<br>5<br>4<br>4<br>4<br>4<br>4<br>4<br>4<br>4|
|15-19<br>5<br>5<br>5<br>4<br>4<br>4<br>4<br>4<br>4<br>4|
|20-24<br>3<br>4<br>5<br>4<br>4<br>4<br>4<br>4<br>4<br>4<br>|
|25-29<br>2<br>3<br>4<br>5<br>4<br>4<br>4<br>4<br>4<br>4<br> <br> <br>|
|30-34<br>2<br>2<br>2<br>4<br>5<br>4<br>4<br>4<br>4<br>4<br> <br>|
|35-39<br>1<br>1<br>2<br>2<br>4<br>5<br>4<br>4<br>4<br>4<br> <br> <br> <br> <br> <br>|
|40-44<br>1<br>1<br>1<br>1<br>2<br>4<br>5<br>4<br>4<br>4<br>|
|45-49<br>1<br>1<br>1<br>1<br>1<br>2<br>4<br>5<br>4<br>3<br> <br> <br>|
|50-54<br>1<br>1<br>1<br>I<br>1<br>1<br>2<br>4<br>5<br>4|
|55-59<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>2<br>4<br>5|
|60-64<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>2<br>3|
|65-69<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>2|
|70-74<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>1|
|75+<br>1<br>1<br>2<br>2<br>2<br>2<br>2<br>3<br>3<br>3<br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br>|
|TOTAL<br>39<br>38<br>39<br>41<br>44<br>47<br>49<br>52<br>55<br>57|
|BIRTH RATE<br>23.6<br>23.5<br>22.1<br>20.5<br>18.8<br>17.1<br>16.0<br>15.3<br>14.7|
|DEATH RATE<br>6.3<br>5.9<br>5.6<br>5.2<br>5.1<br>4.9<br>4.8<br>4.7<br>4.7<br>|
|RATEOF NAT. INC.<br>1.74<br>1.76<br>1.65<br>1.53<br>1.38<br>1.23<br>1.12<br>1.06<br>1.01|
|**NET**MIGRATION<br>RATE -22.0<br>-10.9<br>-5.2<br>.0<br>.0<br>.0<br>.0<br>.0<br>.0|
|**GROWTH**<br>RATE<br>-.47<br>.66<br>1.13<br>1.53<br>1.38<br>1.23<br>1.12<br>1.06<br>1.01|
|TOTAL FERTILITY3.125<br>2.642<br>2.233<br>2.088<br>2.083<br>2.078<br>2.074<br>2.069<br>2.065|
|NRR<br>1.478<br>1.256<br>1.066<br>1.000<br>1.000<br>1.000<br>1.000<br>1.000<br>1.000|
|**eCO)**- BOTH SEXES74.07<br>75.40<br>76.70<br>77.91<br>78.64<br>79.39<br>80.16<br>80.96<br>81.77<br> <br>|
|**e(15)**<br>- BOTH SEXES60.93<br>62.04<br>63.11<br>64.13<br>64.70<br>65.29<br>65.90<br>66.53<br>67.18<br> <br> <br> <br> <br>|
|**IMR**- BOTH SEXES<br>17.9<br>15.4<br>12.9<br>10.7<br>9.2<br>7.8<br>6.3<br>4.8<br>3.3<br> <br> <br> <br> <br> <br> <br>|
|q(5) - BOTH SEXES .0219<br>.0188<br>.0158<br>.0133<br>.0116<br>.0098<br>.0081<br>.0064<br>.0046|
|<br> <br> <br><br>DEP. RATIO<br>89.4<br>74.5<br>63.9<br>62.3<br>58.5<br>53.3<br>48.3<br>44.5<br>42.6<br>44.3|
COUNTRIES, ECONOMIES, AND TERRITORIES 85 DOMINICA Suomry Projection for 25-Year Periods

|AGEGROUP<br>1985<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|
|TOTAL N+F<br>74<br>79|108|<br>131|<br>136|<br>137|<br>138|<br>139|
|MALES<br>|||||||
|0-4<br>4<br>4|4|4|<br>4|<br>4|<br>4|<br>4|
|5-9<br>5<br>4|4|4|<br>4|<br>4|<br>4|<br>4|
|10-14<br>5<br>4|4|4|<br>4|<br>4|<br>4|<br>4|
|15-19<br>5<br>3|4|4|<br>4|<br>4|<br>4|<br>4|
|20-24<br>4<br>4|4|4|<br>4|<br>4|<br>4|<br>4|
|25-29<br>2<br>5|4|4|4|<br>4|<br>4|<br>4|
|30-34<br>2<br>4|4|4|4|<br>4|<br>4|<br>4|
|35-39<br>1<br>2|4|4|4|<br>4|<br>4|<br>4|
|40-44<br>1<br>2|<br>3|4|4|4|<br>4|<br>4|
|45-49<br>1<br>1|4|4|4|4|<br>4|<br>4|
|50-54<br>1<br>1|4|4|4|4|4|<br>4|
|55-59<br>1<br>1|3|4|4|4|4|<br>4|
|60-64<br>1<br>1|2|3|4|4|4|<br>4|
|65-69<br>1<br>1|1|3|4|4|4|<br>4|
|70-74<br>1<br>1|1|4|3|3|4|<br>4|
|75+<br>1<br>1|1|6|7|8|8|<br>8|
|TOTAL<br>35<br>38|53|64|67|68|68|<br>68|
|FEMALES|||||||
|0-4<br>4<br>4|4|4|4|4|4|<br>4|
|5-9<br>5<br>4|4|4|4|4|4|<br>4|
|10-14<br>6<br>4|4|4|4|4|4|<br>4|
|15-19<br>5<br>4|4|4|4|4|4|4|
|20-24<br>3<br>4|4|4|4|4|4|4|
|25-29<br>2<br>5|4|4|4|4|4|4|
|30-34<br>2<br>4|4|4|4|4|'4|<br>4|
|35-39<br>1<br>2|4|4|4|4|4|4|
|40-44<br>1<br>1|4|4|4|4|4|4|
|45-49<br>1<br>1|4|4|4|4|4|4|
|50-54<br>1<br>1|5|4|4|4|4|4|
|55-59<br>1<br>1|4|4|4|4|4|4|
|60-64<br>1<br>1|2|3|4|4|4|4|
|65-69<br>1<br>1|1|3|4|4|4|4|
|70-74<br>1<br>1|1|4|4|4|4|4|
|75+<br>1<br>2|3|8|11|11|12|12|
|TOTAL<br>39<br>41|55|66|69|70|70|71|
|BIRTH RATE<br>23.1|17.4|13.4|12.1|11.8|11.7|11.6|
|DEATH RATE<br>5.9|4.9|5.9|10.6|11.3|11.4|11.5|
|NET MIGRATION<br>RATE<br>-12.6|.0|.0|.0|.0|.0|.0|
|GROWTN<br>RATE<br>.4|1.26|.77|.15|.05|.03|.02|
|TOTAL FERTILITY<br>2.639|2.079|2.063|2.060|2.058|2.057|2.057|
|e(O)- BOTH SEXES<br>75.41|79.51|82.63|84.21|85.08|85.74|86.02|
|**IMR-** BOTH SEXES<br>15.4|7.8|3.0|2.4|2.2|2.0|1.9|
86 COUNThIES, ECONOMIES, AND TERRITORIES

# DOMINICAN REP.

Projection (thousands) wIth NRR=1 by 2005

|AGE GROWP<br>1985<br>1990<br>1995|2000<br>2005<br>2010<br>2015<br>2020<br>2025<br>2030|
|---|---|
|TOTAL M+F<br>6416<br>7074<br>7A&9<br>MALES|8293<br>8826<br>9355<br>9899<br>10437<br>10947<br>11420|
|0-4<br> <br> <br>|<br> <br>|
|<br>473<br>468<br>461<br> <br> <br>|440<br>413<br>415<br>429<br>432<br>427<br>419|
|5-9<br>421<br>461<br>457<br>11<br> <br> <br>|451<br>432<br>407<br>410<br>425<br>430<br>426<br> <br>|
|0-4<br>399<br>416<br>455<br> <br> <br> <br>|452<br>447<br>429<br>404<br>408<br>424<br>430<br> <br>|
|15-19<br>381<br>393<br>410<br> <br> <br> <br>|450<br>448<br>443<br>426<br>402<br>407<br>423<br>|
|20-24<br>339<br>370<br>383<br> <br>|400<br>441<br>440<br>437<br>421<br>399<br>405|
|25-29<br>274<br>325<br>35?<br> <br> <br> <br>|370<br>389<br>432<br>433<br>431<br>417<br>397|
|30-34<br>214<br>262<br>313<br> <br> <br> <br>|345<br>360<br>381<br>425<br>427<br>427<br>415<br> <br> <br>|
|35-39<br>172<br>204<br>252<br> <br> <br> <br>|304<br>337<br>353<br>374<br>419<br>423<br>425<br>|
|40-44<br>136<br>164<br>196<br> <br> <br> <br>|244<br>296<br>330<br>347<br>369<br>415<br>420<br>|
|45-49<br>115<br>130<br>158<br> <br> <br> <br>|189<br>237<br>289<br>323<br>341<br>363<br>409<br>|
|50-54<br>94<br>109<br>124<br> <br> <br> <br>|151<br>183<br>230<br>281<br>315<br>332<br>355<br>|
|55-59<br>83<br>88<br>103<br> <br> <br> <br>|117<br>143<br>174<br>219<br>269<br>303<br>320|
|60-64<br>55<br>76<br>80<br> <br> <br> <br>|94<br>108<br>133<br>162<br>206<br>253<br>286|
|65-69<br>43<br>48<br>66<br> <br>|71<br>83<br>96<br>119<br>146<br>187<br>231|
|70-74<br>32<br>34<br>38<br>75+<br> <br> <br>|54<br>58<br>69<br>80<br>101<br>125<br>161<br> <br> <br>|
|<br>29<br>35<br>39<br>TOTAL<br>3260<br> <br>|45<br>61<br>73<br>88<br>107<br>135<br>172<br> <br> <br> <br> <br>|
|<br> <br>3583<br>3894<br>FEMALES|4177<br>4436<br>4693<br>4958<br>5220<br>5467<br>5694|
|0-4<br>457<br> <br>|<br> <br> <br> <br> <br>|
|<br> <br>449<br>442<br>59<br> <br> <br>|421<br>395<br>396<br>409<br>412<br>407<br>400<br> <br>|
|-<br>408<br>445<br>439<br> <br> <br> <br>|432<br>414<br>389<br>392<br>406<br>411<br>406<br> <br> <br>|
|10-14<br>388<br>403<br>440<br> <br> <br> <br>|434<br>429<br>411<br>387<br>390<br>405<br>410|
|15-19<br>370<br>382<br>397<br> <br> <br> <br>|435<br>430<br>425<br>408<br>385<br>389<br>405|
|20-24<br>327<br>360<br>373<br> <br> <br> <br>|389<br>428<br>424<br>420<br>405<br>383<br>389<br> <br> <br>|
|25-29<br>263<br>316<br>349<br> <br> <br> <br>|363<br>380<br>420<br>418<br>416<br>402<br>382|
|30-34<br>205<br>254<br>307<br>3539<br> <br> <br>|341<br>355<br>374<br>416<br>415<br>414<br>401<br> <br> <br>|
|-<br>166<br>198<br>247<br> <br>|300<br>335<br>351<br>370<br>412<br>412<br>413|
|40-44<br>132<br>161<br>194<br> <br> <br>|242<br>296<br>331<br>347<br>367<br>410<br>410|
|45-49<br>112<br>128<br>158<br> <br> <br> <br>|190<br>239<br>292<br>327<br>343<br>363<br>406<br>|
|50-54<br>93<br>109<br>125<br> <br> <br>|154<br>186<br>234<br>287<br>322<br>339<br>359|
|55-59<br>79<br>89<br>105<br> <br> <br> <br>|121<br>150<br>181<br>229<br>280<br>315<br>332|
|60-64<br>53<br>75<br>85<br> <br> <br> <br>|100<br>116<br>144<br>174<br>221<br>272<br>306|
|65-69<br>42<br>48<br>68<br> <br> <br>|78<br>93<br>108<br>135<br>165<br>210<br>259|
|70-74<br>30<br>36<br>41<br> <br> <br> <br>|59<br>69<br>83<br>97<br>122<br>151<br>194<br> <br>|
|75+<br>33<br>38<br>46<br>TOTAL<br>3156<br>3491<br>3816|56<br>77<br>100<br>126<br>155<br>198<br>253<br>4115<br>4390<br>4662<br>4941<br>5217<br>5480<br>5725|
|BIRTH RATE<br>29.4<br>26.1<br>22.<br>|<br> <br> <br> <br> <br> <br><br>8<br>19.8<br>18.6<br>18.0<br>17.0<br>15.8<br>14.8|
|DEATH RATE<br>6.6<br>5.9<br>5.<br> <br> <br> <br>|5<br>5.2<br>5.3<br>5.5<br>5.7<br>6.0<br>6.3<br> <br> <br>|
|RATEOFNAT. INC.<br>2.28<br>2.02<br>1.7<br> <br> <br> <br>|3<br>1.46<br>1.33<br>1.25<br>1.13<br>.99<br>.85<br> <br>|
|NET MIGRATION<br>RATE -3.3<br>-3.0<br>-2.<br> <br>|8<br>-2.1<br>-1.6<br>-1.1<br>-. 7<br>-. 3<br>.0|
|GROWTH<br>RATE<br>1.95<br>1.72<br>1.4<br> <br>|6<br>1.25<br>1.17<br>1.13<br>1.06<br>.95<br>.85|
|TOTAL FERTILITY<br>3.500<br>3.032<br>2.62|6<br>2.275<br>2.148<br>2.131<br>2.113<br>2.096<br>2.080|
|NRR<br>1.545<br>1.361<br>1.19<br>|7<br>1.050<br>1.000<br>1.000<br>1.000<br>1.000<br>1.000|
|e(0)- BOTH SEXES 65.97<br>_67.68_<br>69.<br> <br> <br>|46<br>71.20<br>72.36<br>73.56<br>74.80<br>76.08<br>77.41<br>|
|e(15)- BOTH SEXES 57.02<br>57.87<br>58.<br> <br> <br> <br>|81<br>59.80<br>60.41<br>61.05<br>61.73<br>62.43<br>63.17<br>|
|INR- BOTH SEXES<br>61.0<br>52.5<br>43.<br>(5)-BOTH<br> <br>|8<br>36.0<br>30.1<br>24.1<br>18.2<br>12.2<br>6.3<br> <br> <br> <br> <br> <br> <br>|
|q SEXES .0787<br>_.0667_<br>.055|0<br>.0448<br>.0375<br>.0302<br>.0228<br>.0155<br>.0081|
|DEP. RATIO<br>75.2<br>68.7<br>63.5|<br><br>56.5<br>50.7<br>46.6<br>45.1<br>45.6<br>47.2<br>49.1|
COUNTRIES, ECONOMIES, AND TERRITORIES 87 Suunary Projection for 25-Year Periods

# DOMINICAN REP.

|AGE GROUP<br>1985|2000|2025|2050|2075|2100|2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTAL<br>M+F<br>6416|8293|10947|<br>12819|13514|<br>13821|14010|<br>14103|
|MALES<br> <br>||||||||
|0-4<br>473<br>|440|427|424|422|421|421|421|
|5-9<br>421|451|430|422|420|420|420|420|
|10-14<br>399<br> <br>|452<br>|424|418|419|420|420|420|
|15-19<br>381|450|407|415|419|420|420|420|
|20-24<br>339|400|399|416|420|420|420|419|
|25-29<br>274|370|417|422|420|419|418|418|
|30-34<br>214|345|427|424|418|416|417|417|
|35-39<br>172|304|423|416|412|414|416|416|
|40-44<br>136|244|415|396|407|412|414|415|
|45-49<br>115|189|363|386|406|411|412|412|
|50-54<br>94|151|332|398|406|408|403|408|
|55-59<br>83<br> <br>|117|303|397|400|399|400|401|
|60-64<br>55<br> <br>|94<br>|253|378|381|384|389|392|
|65-69<br>43<br> <br>|71<br>|187|348|347|365|375|379|
|70-74<br>32|54|125|275|313|<br>342|354|359|
|75e<br>29|45|135|422|667|749|801|828|
|TOTAL<br>3260<br>|4177|5467|6356|6678|6820|6905|6946|
|FEMALES||||||||
|0-4<br>457|421|407|404|402|401|401|401|
|5-9<br>408|432|411|403|401|401|401|401|
|10-14<br>388|434|405|399|400|401|401|401|
|15-19<br>370<br> <br>|435<br>|389<br>|39t<br>|400|401|401|401|
|20-24<br>327|389|383|3l..|402|401|401|401|
|25-29<br>263|363|402|405|403|401|400|400|
|30-34<br>205|341|414|408|401|400|400|400|
|35-39<br>166<br>|300|412|402|397|398|399|400|
|40-44<br>132|242|410|385|393|398|399|400|
|45-49<br>112|190|363|377|394|398|399|399|
|50-54<br>93|154|339|393|395|<br>398|398|398|
|55-59<br>79|121|315|399|398|394|395|<br>396|
|60-64<br>53|100|272|390|387|387|<br>391|393|
|65-69<br>42|78|210|376|364|378|387|391|
|70-74<br>30|59|151|317|345|371|382|386|
|75+<br>33|56|198|615|954|<br>1072|1150|1191|
|TOTAL<br>3156|4115|5480|6463|6836|7000|7105|7157|
|BIRTH RATE|25.9|17.7|13.8|12.5|12.1|11.8|11.7|
|DEATH RATE|6.0|5.5|7.5|10.4|11.2|11.3|11.5|
|NET MIGRATION<br>RATE|-3.0|-1.1|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|1.71|1.11|.63|.21|.09|.05|.03|
|TOTAL FERTILITY|3.022|2.151|2.074|2.065|2.061|2.059|2.058|
|e(O)**-** BOTH SEXES|67.80|73.73|79.01|82.10|83.81|85.10|85.61|
|INR**-** BOTH SEXES|52.6|24.1|5.1|3.2|2.6|2.2|2.0|
**88** COUNTRIES ECONObMES, AND TERRiTORIES

ECUADOR

|ECUADOR|ProJectfon (thousands) wfth**NRR-**|**1 by**2010|
|---|---|---|
|AGE GROUP<br>1985|1990<br>1995<br>2000<br>2005<br>2010<br>2015<br>2020<br>2025|2030|
|TOTAL**M+F**<br>9205<br>MALES|10284<br>11425<br>12577<br>13674<br>14670<br>15642<br>16621<br>17570|18456|
|0-4<br>712|726<br>742<br>742<br>724<br>687<br>693<br>718<br>727|722|
|5-9<br>643|699<br>716<br>734<br>736<br>719<br>684<br>690<br>716|725|
|10-14<br>580|637<br>695<br>713<br>732<br>734<br>717<br>682<br>689|715|
|15-19<br>519|573<br>631<br>690<br>709<br>728<br>730<br>714<br>680|687|
|20-24<br>438|507<br>565<br>625<br>685<br>704<br>723<br>726<br>710|676|
|25-29<br>364|<br>424<br>498<br>558<br>619<br>678<br>698<br>716<br>721|706|
|30-34<br>306|353<br>416<br>492<br>552<br>613<br>672<br>693<br>713|717|
|35-39<br>241|297<br>346<br>s11<br>486<br>546<br>607<br>667<br>687|708|
|40-44<br>192|233<br>290<br>340<br>404<br>479<br>539<br>59<br>659|681|
|45-49<br>161|<br> <br> <br> <br> <br>184<br>226<br>282<br>332<br>396<br>470<br>529<br>589|649|
|50-54<br>128|153<br>176<br>217<br>272<br>321<br>383<br>456<br>515|575|
|55-59<br>105|119<br>143<br>165<br>204<br>257<br>304<br>365<br>436|494|
|60-64<br>83|94<br>108<br>130<br>150<br>187<br>237<br>282<br>340|408|
|65-69<br>64|71<br>81<br>93<br>112<br>131<br>164<br>210<br>252|306|
|70-74<br>45|50<br>55<br>64<br>74<br>91<br>107<br>136<br>176|213|
|75+<br>49|52<br>57<br>63<br>74<br>89<br>110<br>135<br>172|225|
|TOTAL<br>4630|5172<br>5744<br>6320<br>6866<br>7359<br>7838<br>8319<br>8782|9209|
|FEMALES|||
|0-4<br>690|700<br>715<br>714<br>696<br>660<br>664<br>687<br>695|689|
|5-9<br>624|678<br>692<br>709<br>710<br>692<br>657<br>662<br>685|694|
|10-14<br>564|619<br>674<br>690<br>707<br>708<br>691<br>656<br>661|685|
|15-19<br>506|558<br>614<br>672<br>687<br>705<br>706<br>689<br>655|660|
|20-24<br>428|495<br>551<br>610<br>668<br>684<br>702<br>704<br>687|653|
|25-29<br>359|415<br>487<br>546<br>606<br>664<br>681<br>699<br>702|686|
|30-34<br>303|348<br>409<br>483<br>542<br>602<br>661<br>678<br>697|700|
|35-39<br>239|295<br>343<br>404<br>479<br>538<br>598<br>657<br>675|694|
|40-44<br>192|<br> <br> <br>233<br>290<br>338<br>400<br>474<br>533<br>594<br>653|671|
|45-49<br>162|187<br>228<br>285<br>333<br>395<br>468<br>527<br>588|647|
|50-54<br>131|157<br>181<br>223<br>279<br>326<br>387<br>460<br>519|580|
|55-59<br>109|126<br>151<br>175<br>215<br>270<br>317<br>377<br>449|508|
|60-64<br>87|101<br>118<br>142<br>166<br>205<br>**258**<br>304<br>363|435|
|65-69<br>69<br>|78<br>91<br>107<br>130<br>152<br>190<br>241<br>286|345|
|70-74<br>51|57<br>64<br>77<br>91<br>112<br>133<br>168<br>217|261|
|75+<br>61<br>TOTAL<br>4575|65<br>72<br>82<br>100<br>123<br>156<br>197<br>255<br>5112<br>5681<br>627<br> <br> <br> <br> <br>|339<br>|
|<br>|<br> <br>5<br>6808<br>7311<br>7804<br>8302<br>8788|9247|
|BIRTH RATE<br>31|4<br>285<br>255<br>226<br>197<br>185<br>178<br>169<br>1|58|
|<br> <br>DEATH RATE<br>7|.<br>.<br>.<br>.<br>.<br>.<br>.<br>.<br><br>.1<br>6.5<br>6.0<br>5.6<br>5.5<br>5.5<br>5.6<br>5.8|.<br>6.0|
|RATE OFNAT.INC.<br>2.|42<br>2.20<br>1.96<br>1.70<br>1.43<br>1.30<br>122<br>111|98|
|NETNIGRATION<br>RATE-2|<br> <br> <br> <br>.<br>.<br>.1<br>-.9<br>-.3<br>-.3<br>-.2<br>-A<br>-1<br>-0|.<br>0|
|GROWTH RATE<br>2.|<br> <br> <br> <br>.<br>.<br>22<br>2.10<br>1.92<br>1.67<br>1.41<br>1.28<br>1.21<br>1.11|.<br>.98|
|TOTAL FERTILITY4.1|<br> <br> <br>00<br>3.500<br>3.026<br>2.616<br>2.262<br>2.134<br>2.117<br>2.101<br>2.|085|
|NRR<br>1.|823<br>1.576<br>1.381<br>1.207<br>1.052<br>1.000<br>1.000<br>1.000<br>1.|000|
|SCO)- BOTH SEXES65.|45<br>66.54<br>67.88<br>69.33<br>70.58<br>71.87<br>73.22<br>74.62<br>76|.09|
|0(15)<br>- BOTH SEXES55.|78<br>56.42<br>57.10<br>57.93<br>58.67<br>59.45<br>60.27<br>61.14<br>62|.06|
|**INR**- BOTH SEXES<br>58<br>|.0<br>52.6<br>45.2<br>37.9<br>32.0<br>26.1<br>20.2<br>14.3<br><br> <br> <br> <br> <br> <br>|8.4|
|qC5)- BOTH SEXES .06|92<br>.0626<br>.0535<br>.0449<br>.0381<br>.0312<br>.0243<br>0175<br>0|106|
|<br>DEP. RATIO<br>82.2|<br> <br> <br> <br>.<br>.<br>75.7<br>68.7<br>61.5<br>55.6<br>50.1<br>46.5<br>45.3<br>45.9|47.2|
COUMNTRIS, ECONOMIES, AND TERRITORIES 89 Sumary Projectfon for 25-Year Periods ECUADOR

|AGE GROWP<br>1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTAL<br>**M+F**<br>9205<br>|<br>12577|<br>17570|<br>21169|<br>22710|<br>23310|<br>23683|<br>23868|
|MALES<br> <br>|<br>|<br>|<br>|<br>|<br>|<br>|<br>|
|0-4<br>712<br> <br>|<br>742<br>|<br>727<br> <br>|<br>716<br>|<br>713<br>|<br>713|<br>713|<br>713|
|5-9<br>643<br> <br>|734<br>|<br>716<br>|709|<br>711|<br>712|713|<br>713|
|10-14<br>580<br> <br>|713<br>|689<br>|705<br>|712|713|713|<br>713|
|15-19<br>519<br> <br>|690<br>|680<br>|709<br>|714|713|712|<br>712|
|20-24<br>438<br> <br>|625<br>|710<br>|716<br>|714|711|711|<br>711|
|25-29<br>364<br> <br>|558|721|717|709|708|708|<br>709|
|30-34<br>306<br> <br>|492|713|703|701|704|706|<br>707|
|35-39<br>241<br>|411|687|674|694|702|705|<br>705|
|40-44<br>192<br> <br>|340|659<br>|661|694|702|703|<br>703|
|45-49<br>161<br>|282<br>|**589**<br>|685|696|698|<br>698|698|
|50-54<br>128<br> <br>|<br>217<br>|515<br> <br>|685<br>|689|687|688|690|
|55-59<br>105<br> <br>|165<br>|<br>436<br>|658|662|667|675|68n|
|60-64<br>83<br> <br>|130<br>|340<br>|607<br>|<br>614|644|659|665|
|65-69<br>64<br> <br>|93<br>|252<br>|542|573<br>|619|636|<br>642|
|70-74<br>45<br> <br>|64<br>|176<br>|431<br>|<br>547<br>|582|599|<br>605|
|75.<br>49<br>|63<br>|172|<br>580|<br>1067|1223|1332|<br>1389|
|TOTAL<br>4630|6320|6782|10497|11210|11499|11671|<br>11753|
|FEMALES<br> <br>||||||||
|0-4<br>690<br> <br>|714|695|682|679|679|680|<br>680|
|5-9<br>624<br> <br>|709<br>|<br>685<br>|676<br>|678|679|680|<br>680|
|10-14<br>564<br> <br>|690<br>|661<br>|673|679|680|680|<br>680|
|15-19<br>506<br> <br>|672|655|677|681|680|680|<br>679|
|20-24<br>428<br> <br>|610<br>|687<br>|686<br>|<br>682<br>|<br>680|<br>679|679|
|25-29<br>359<br> <br>|546<br>|702<br>|690<br>|680<br>|678|678|<br>679|
|30-34<br>303<br> <br>|483|697|680|673|676|678|678|
|35-39<br>239<br>|404|675|655|669|676|678|678|
|40-44<br>192<br> <br>|338<br>|653<br>|646<br>|671|677|<br>678|677|
|45-49<br>162<br> <br>|285<br>|**588**<br>|**675**<br>|678<br>|677|676|676|
|50-54<br>131<br> <br>|223<br>|519|683|678|671|672|673|
|55-59<br>109<br> <br>|175<br>|449<br>|669<br>|662<br>|661<br>|667<br>|671|
|60-64<br>87<br> <br>|142<br>|363<br>|634|628|651|663|667|
|65-69<br>69<br> <br>|107<br>|286<br>|592|607|64|658|662|
|70-74<br>51<br> <br>|77<br>|217<br>|503<br>|612|636|648|652|
|75+<br>61<br> <br>|82<br>|255<br>|850<br>|1541<br>|1765<br>|1920|2004|
|TOTAL<br>4575|6257|8788|10672|11500|11611|12012|12115|
|BIRTH RATE|28.3|18.9|14.4|12.7|12.2|11.9|11.7|
|DEATH RATE|6.5|5.6|7.0|9.9|11.1|11.2|11.4|
|NET MIGRATION<br>RATE<br>|-1.0<br>|-.1<br>|.0|.0|.0|.0|.0|
|GROUTH<br>RATE<br>|2.08|1.34|.75|.28|.10|.06|.03|
|TOTAL FERTILITY<br>|3.487<br>|2.233<br>|2.078<br>|2.066|2.062|2.059|2.058|
|**e(O)-** BOTH SEXES|66.71|72.10|77.91|81.45|83.42|84.91|85.49|
|INR**- BOTH**SEXES|51.9|26.1|6.6|3.5|2.7|2.2|2.1|
90 COUNTRIES, ECONOMIES, AND TERRrrORIES

# EL SALVADOR

ProJection (thousands) with **NRRul** by 2015

|AGE GROWP<br>1985<br>1990<br>1995<br>2000<br>TOTAL**H+F**<br>4767<br>5213<br>5703<br>6247|2005<br>6816|2010<br>7356|2015<br>7846|2020<br>8345|2025<br>8883|2030<br>9446|
|---|---|---|---|---|---|---|
|MALES|||||||
|0-4<br>402<br>404<br>411<br>427|429|407|376|374|390|399|
|5-9<br>381<br>384<br>390<br>399|418|421|401|371|372|389|
|10-14<br>335<br>371<br>376<br>383|394|413|417|398|370|371|
|¶5-19<br>277<br>324<br>362<br>368|376|388|408|414|396|368|
|20-24<br>189<br>256<br>307<br>347|356|366|380|402|409|394|
|25-29<br>143<br>163<br>235<br>288|331|343|356|372|397|407|
|30-34<br>120<br>121<br>145<br>219|274|319|333|349|367|395|
|35-39<br>99<br>103<br>107<br>133|208|265|311|327|344|365|
|40-44<br>93<br>86<br>92<br>98|126|200|257|305|322|341|
|45-49<br>78<br>83<br>78<br>85|92|120|193|251|298|316|
|50-54<br>66<br>70<br>76<br>72|80|87|114|186|243|290|
|55-59<br>55<br>59<br>64<br>70|67|75|82|108|177|232|
|60-64<br>43<br>48<br>52<br>57|63|61|68|75|100|165|
|65-69<br>32<br>35<br>39<br>43|48|54|53|60|67|90|
|70-74<br>22<br>24<br>27<br>30|34|38|43|43|49|56|
|75+<br>18<br>22<br>25<br>29|34|40|46|54|58|66|
|TOTAL<br>2353<br>2554<br>2785<br>3049|3329|3595|3839|4088|4359|4643|
|FEMALES|||||||
|0-4<br>387<br>390<br>396<br>411|412|391|361|359|374|382|
|5-9<br>367<br>370<br>377<br>386|403|405|386|357|357|373|
|10-14<br>324<br>358<br>363<br>371|380|399|402|383|356|357|
|15-19<br>269<br>315<br>350<br>356|365|376|395|399|382|355|
|20-24<br>205<br>254<br>301<br>338|346|357|370|391|397|381|
|25-29<br>159<br>187<br>238<br>288|327|337|350|364|388|396|
|30-34<br>136<br>145<br>175<br>227|278|319|331|346|362|387|
|35-39<br>111<br>126<br>137<br>168|220|272|314|327|343|361|
|40-44<br>101<br>105<br>120<br>131|163|216|269|311|324|341|
|45-49<br>86<br>96<br>100<br>116|128|160|213|265|307|322|
|50-54<br>72<br>82<br>93<br>97|113|125|156|209|261|303|
|55-59<br>61<br>68<br>78<br>89|94|109|121|152|204|256|
|60-64<br>48<br>57<br>64<br>74|84|89|105|116|147|198|
|65-69<br>37<br>43<br>51<br>58|67|77|83|98|110|140|
|70-74<br>26<br>31<br>36<br>43|49|58|68|74|89|101|
|7-r,<br>26<br>32<br>39<br>47<br> <br> <br> <br>|57<br>|70<br>|86<br>|106<br>|124<br>|150<br>|
|TOTAL<br>2414<br>2659<br>2918<br>3198|3487|3760|4007|4257|4524|4802|
|BIRTH RATE<br>34.6<br>31.7<br>29.6<br>2|6.9<br>2|3.4<br>2|0.0<br>1|8.6<br>1|8.1<br>1|7.2|
|DEATH RATE<br>8.3<br>7.3<br>6.4<br>|5.6<br>|5.3<br>|5.1<br>|5.0<br>|5.0<br>|5.0|
|RATE OFNAT.<br>INC.,2.64<br>2.44<br>2.33<br>2|.13<br>1|.81<br>1|.49<br>1|.36<br>1|.31<br>1|.23|
|NET MIGRATION<br>RATE-8.5<br>-6.4<br>-5.0<br>-|3.8<br>-|2.8<br>-2|.0<br>-|1.2<br>|-.6|.0|
|GROWTH RATE<br>1.79<br>1.80<br>1.82<br>1|.74<br>1|.52<br>1|.29<br>1|.23<br>1|.25<br>1|.23|
|TOTAL FERTILITY4.600<br>4.047<br>3.493<br>3.0|12<br>2.5|97<br>2.2|40<br>2.1|11<br>2.0|97<br>2.0|83|
|NRR<br>2.015<br>1.812<br>1.596<br>1.3|98<br>1.2|14<br>1.0|54<br>1.|000<br>1.|000<br>1.|000|
|eCO)- BOTH SEXES62.16<br>64.52<br>66.82<br>69|.02<br>70.|26<br>71|.55<br>72|.90<br>74.|30<br>75|.77|
|eS15)- BOTH SEXES53.27<br>54.50<br>55.84<br>57|.25<br>58.|09<br>58.|98<br>59.|90<br>60.|87<br>61.|90|
|INR- BOTHSEXES<br>59.0<br>48.9<br>40.0<br>3|2.5<br>2|7.9<br>2|3.4<br>1|8.8<br>1|4.3<br>|9.7|
|qC5)-BOTH SEXES0792<br>0635<br>0502<br>0|96<br>03|42<br>02|87<br>02|32<br>01|77<br>01|22|
|.<br>.<br>.<br>.<br>DEP. RATIO<br>97.8<br>89.7<br>79.7<br>72.5|<br>.<br>66.6|<br>.<br>60.5|<br>.<br>53.1|<br>.<br>47.2|<br>.<br>4.O|43.7|
COUNTRIES, ECONOMIES, AND TERRITORIES 91 EL SALVADOR Sumary Projectfon for 25-Year Perfods

|AGE GROUP|1985|<br>2000|2025|2050|2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL**M+F**<br>|4767|6247|8883|11287|<br>12394|<br>12743|<br>12966|<br>13075|
|MALES<br>|||||||||
|0-4<br>|402<br>|427<br>|390|387|389|391|391|391|
|5-9<br>|381<br>|399<br>|372<br>|385<br>|390<br>|391<br>|391<br>|390|
|10-14<br>|335<br>|383<br>|370<br>|389<br>|392<br>|391|391|390|
|15-19<br>|277<br>|368<br>|396<br>|395|393|390|390|390|
|20-24<br>|189|347|409|395|389|388|389|389|
|25-29<br>|143|288|397|384|383|386|388|389|
|30-34<br>|120<br>|219<br>|367<br>|365<br>|380<br>|386<br>|388|388|
|35-39<br>|99|133|344|361|382|387|387|386|
|40-44<br>|93|98|322|384|387|386|384|385|
|45-49<br>|78<br>|85<br>|298<br>|394|384|380|381|382|
|50-54<br>|66<br>|72|243|376|368|371|376|378|
|55-59<br>|55<br>|70<br>|177<br>|337|342|361|370|373|
|60-64<br>|43<br>|57<br>|100<br>|301<br>|327<br>|354|363|364|
|65-69<br>|32<br>|43<br>|67<br>|260<br>|330<br>|343|349|351|
|70-74<br>|22<br>|30<br>|49<br>|213|310|319|325|330|
|75e|18|29|58|232|539|640|717|756|
|TOTAL<br>|2353|3049|4359|5558|6087|6264|6378|6432|
|FEMALES<br>|||||||||
|0-4<br>|387|411|374|369|371|372|373|373|
|5-9<br>|367<br>|386<br>|357<br>|368<br>|372|<br>373|373|372|
|10-14<br>|324<br>|371<br>|356<br>|372<br>|374<br>|373|372|372|
|15-19<br>|269|356|382|379|375|373|372|372|
|20-24<br>|205|338<br>|397|381|372|371|372|<br>372|
|25-29<br>|159|288<br>|388<br>|372|368|370|372|<br>372|
|30-34<br>|136<br>|227<br>|362<br>|355<br>|366|371|372|<br>372|
|35-39<br>|1I<br>|168<br>|343|352|370|373|372|<br>372|
|40-44<br>|101<br>|131<br>|324<br>|377|376|373|371|<br>371|
|45-49<br>|86<br>|116<br>|307<br>|390<br>|376<br>|369|369|370|
|50-54<br>|72|97<br>|261|378|365|364|367|369|
|55-59<br>|61<br>|89<br>|204|348|345|360|366|368|
|60-64<br>|48<br>|74<br>|147|323|339|360|366|366|
|65-69<br>|37|58|110|296|355|362|363|363|
|70-74<br>|26<br>|43<br>|89|265<br>|355|354|354|356|
|75+|26|47|124|404|825|961|1054|1102|
|TOTAL|2414|3198|4524|5729|6307|6479|6588|6643|
|BIRTH RATE||31.8|21.1|15.2|12.9|12.2|11.9|11.7|
|DEATH RATE||7.3|5.2|5.7|9.2|11.1|11.2|11.4|
|NET MIGRATIO|N<br>RATE|-6.5|-2.0|.0|.0|.0|.0|.0|
|GROWTH RATE||1.80<br>|1.41|.96|.37|.11|.07|.03|
|TOTAL FERTIL<br>|ITY<br>|3.992<br>|2.381<br>|2.077<br>|2.066<br>|2.062<br>|2.059<br>|2.058<br>|
|etO)**-** BOTH S|XES|64.64|71.79|77.68|81.32|83.34|84.88|85.47|
|**IMR-** BOTH<br>SE|XES|49.2|23.7|7.4|3.6|2.8|2.2|2.1|
92 COUNTRIES, ECONOMIES, AND TERRITORIES GRENADA Projection (thousands) with NRR=1 by 2005

|AGEGROUP<br>1985<br>1S90<br>1995<br>2000<br>2005<br>2010<br>2015<br>2020<br>2025<br>2030|
|---|
|TOTAL M+F<br>94<br>91<br>89<br>93<br>99<br>106<br>113<br>120<br>127<br>133|
|MALES|
|0-4<br>7<br>6<br>5<br>5<br>4<br>5<br>5<br>5<br>5<br>5|
|5-9<br>5<br>6<br>6<br>S<br>5<br>4<br>5<br>5<br>5<br>5|
|10-14<br>5<br>4<br>6<br>6<br>5<br>5<br>4<br>5<br>5<br>5<br> <br> <br> <br>|
|15-19<br>7<br>4<br>4<br>6<br>6<br>5<br>5<br>4<br>5<br>5|
|20-24<br>6<br>6<br>4<br>4<br>6<br>6<br>5<br>5<br>4<br>5|
|25-29<br>4<br>5<br>5<br>3<br>4<br>6<br>6<br>5<br>5<br>4|
|30-34<br>3<br>3<br>4<br>5<br>3<br>4<br>6<br>6<br>5<br>5|
|35-39<br>1<br>2<br>2<br>4<br>5<br>3<br>4<br>6<br>6<br>5|
|40-44<br>1<br>0<br>2<br>2<br>4<br>5<br>3<br>4<br>5<br>6|
|45-49<br>1<br>1<br>0<br>2<br>2<br>4<br>5<br>3<br>4<br>5|
|50-54<br>1<br>1<br>1<br>0<br>2<br>2<br>4<br>5<br>3<br>4|
|55-59<br>1<br>1<br>1<br>0<br>0<br>2<br>2<br>3<br>4<br>3<br>|
|60-64<br>1<br>1<br>1<br>1<br>0<br>0<br>1<br>2<br>3<br>4<br>|
|65-69<br>1<br>1<br>1<br>1<br>1<br>0<br>0<br>1<br>2<br>3<br>|
|70-74<br>1<br>1<br>1<br>1<br>1<br>0<br>0<br>0<br>1<br>2|
|75+<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>0<br>1<br>|
|TOTAL<br>45<br>44<br>43<br>44<br>48<br>51<br>55<br>59<br>63<br>66<br>|
|FEMALES|
|0-4<br>7<br>6<br>5<br>4<br>4<br>5<br>5<br>5<br>5<br>5|
|5-9<br>5<br>6<br>6<br>S<br>4<br>t<br>5<br>5<br>5<br>5|
|10-14<br>5<br>4<br>6<br>5<br>5<br>4<br>4<br>5<br>5<br>5|
|15-19<br>7<br>4<br>4<br>6<br>5<br>5<br>4<br>4<br>5<br>5|
|20-24<br>6<br>6<br>3<br>4<br>6<br>5<br>5<br>4<br>4<br>5<br> <br> <br>|
|25-29<br>4<br>5<br>5<br>3<br>4<br>6<br>5<br>5<br>4<br>4|
|30-34<br>3<br>3<br>4<br>4<br>3<br>4<br>6<br>5<br>5<br>4|
|35-39<br>2<br>2<br>2<br>4<br>4<br>3<br>4<br>5<br>5<br>5|
|40-44<br>2<br>2<br>2<br>2<br>4<br>4<br>3<br>4<br>5<br>5|
|45-49<br>2<br>2<br>1<br>2<br>2<br>4<br>4<br>3<br>4<br>5|
|50-54<br>2<br>2<br>2<br>1<br>2<br>2<br>4<br>4<br>3<br>4|
|55-59<br>2<br>2<br>2<br>2<br>1<br>2<br>2<br>3<br>4<br>3|
|60-64<br>1<br>2<br>2<br>2<br>2<br>1<br>2<br>2<br>3<br>4|
|65-69<br>1<br>1<br>2<br>2<br>2<br>1<br>1<br>2<br>2<br>3|
|70-74<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>2<br>2|
|75+<br>1<br>1<br>1<br>1<br>2<br>2<br>3<br>3<br>3<br>3<br> <br> <br> <br> <br>|
|TOTAL<br>49<br>47<br>46<br>48<br>51<br>54<br>58<br>61<br>64<br>67|
|BIRTHRATE<br>29.4<br>25.2<br>20.9<br>18.6<br>18.5<br>18.6<br>17.5<br>15.9<br>14.5|
|DEATH RATE<br>7.7<br>7.1<br>6.2<br>5.4<br>5.4<br>S.2<br>5.1<br>4.9<br>5.0<br>|
|RATEOFMAT.INC.<br>2.17<br>1.81<br>1.47<br>1.31<br>1.31<br>1.34<br>1.25<br>1.10<br>.96|
|NET MIGRATION RATE -28.1<br>-22.2<br>-6.6<br>.0<br>.0<br>.0<br>.0<br>.0<br>.0|
|GROWTH<br>RATE<br>-. 65<br>-. 41<br>.81<br>1.31<br>1.31<br>1.34<br>1.25<br>1.09<br>.96|
|TOTAL FERTILITY<br>3.284<br>2.879<br>2.525<br>2.213<br>2.100<br>2.092<br>2.085<br>2.077<br>2.070|
|NRR<br>1.514<br>1.346<br>1.190<br>1.050<br>1.000<br>1.000<br>1.000<br>1.000<br>1.000|
|eCO)- BOTH SEXES 68.56<br>70.48<br>72.29<br>73.99<br>74.96<br>75.98<br>77.03<br>78.12<br>79.25<br> <br>|
|0(15) - BOTH SEXES 56.95<br>58.31<br>59.66<br>60.98<br>61.68<br>62.42<br>63.19<br>64.00<br>64.84<br> <br>|
|IMR- BOTH SEXES<br>34.0<br>28.6<br>23.5<br>19.1<br>16.2<br>13.3<br>10.5<br>7.6<br>4.7<br> <br> <br> <br> <br> <br> <br> <br> <br> <br>|
|q(5; - BOTH SEXES<br>.0417<br>.0344<br>.0281<br>.0229<br>.0196<br>.0163<br>.0130<br>.0097<br>.0064|
|OEP. RATIO<br>70.2<br>74.8<br>79.1<br>65.9<br>54.1<br>47.2<br>43.7<br>44.5<br>45.1<br>48.0|
COUNTRIES, ECONOMIES, AND TERRITORIES 93 Sumary Projectfon for 25-Year **Perfods** GIENADA

|AGEGROUtP<br>1985|<br>2000<br>2025<br>2050<br>2075|<br>2100<br>2125|<br>2150|
|---|---|---|---|
|TOTAL M+F<br>94|<br>93<br>127<br>151<br>159|<br>162<br>164|<br>165|
|MALES||||
|0-4<br>7|<br>5<br>5<br>5<br>5|<br>5<br>5|<br>5|
|5-9<br>5|5<br>5<br>S<br>5|5<br>5|5|
|10-14<br>5|<br>6<br>5<br>5<br>5|<br>5<br>5|<br>5|
|15-19<br>7|6<br>5<br>5<br>5|<br>5<br>5|<br>5|
|20-24<br>6|4<br>4<br>5<br>5|<br>5<br>5|<br>5|
|25-29<br>4<br> <br>|<br>3<br>5<br>5<br>5|5<br>5|<br>5|
|30-34<br>3|5<br>5<br>5<br>5|5<br>5|5|
|35-39<br>1|<br>4<br>6<br>5<br>5|<br>5<br>5|<br>5|
|40-44<br>1|<br>2<br>5<br>5<br>5|<br>5<br>5|<br>5|
|45-49<br>1|<br>2<br>4<br>4<br>5|<br>5<br>5|<br>5|
|50-54<br>1|0<br>3<br>4<br>5|5<br>5|5|
|55-59<br>1|<br>0<br>4<br>5<br>5|<br>5<br>5|<br>5|
|60-64<br>1|1<br>3<br>5<br>5|5<br>5|5|
|65-69<br>1|<br>1<br>2<br>5<br>4|4<br>4|<br>4|
|70-74<br>1|<br>1<br>1<br>3<br>3|4<br>4|<br>4|
|75+<br>1|<br>1<br>0<br>5<br>8|9<br>9|<br>10|
|TOTAL<br>45<br>|<br>44<br>63<br>75<br>78|<br>0<br>81|<br>81|
|FEMALES||||
|0-4<br>7|<br>4<br>5<br>5<br>5|5<br>5|<br>5|
|5-9<br>5|5<br>5<br>5<br>5|5<br>5|<br>5|
|10-14<br>5|5<br>5<br>5<br>5|5<br>5|5|
|15-19<br>7|6<br>5<br>5<br>5|5<br>5|<br>5|
|20-24<br>6|4<br>4<br>5<br>5|5<br>5|<br>5|
|25-29<br>4|3<br>4<br>5<br>5|5<br>5|<br>5|
|30-34<br>3|4<br>5<br>5<br>5|5<br>5|5|
|35-39<br>2<br>|4<br>5<br>5<br>5|5<br>5|5|
|40-44<br>2|2<br>5<br>5<br>5|5<br>5|5|
|45-49<br>2|2<br>4<br>4<br>5|5<br>5|5|
|50-54<br>2|1<br>3<br>4<br>5|5<br>5|5|
|55-59<br>2|2<br>4<br>5<br>5|5<br>5|5|
|60-64<br>1|2<br>3<br>5<br>5|5<br>5|5|
|65-69<br>1|2<br>2<br>5<br>4|4<br>5|5|
|70-74<br>1|1<br>2<br>3<br>4|4<br>4|5|
|75+<br>1|1<br>3<br>7<br>12|13<br>14|<br>14|
|TOTAL<br>49|48<br>64<br>76<br>81|83<br>84|84|
|BIRTH RATE|25.2<br>17.7<br>13.7<br>12.3|12.0<br>11.8|11.7|
|DEATH RATE.|7.0<br>5.2<br>6.9<br>10.3|11.1<br>11.3|11.5|
|NET MIGRATION<br>RATE|-19.0<br>.0<br>.0<br>.0|.0<br>.0|.0|
|GROWTH<br>RATE|-.08<br>1.26<br>.69<br>.21|.09<br>.05|.02|
|TOTAL FERTILITY|2.909<br>2.110<br>2.067<br>2.062|2.059<br>2.058|2.057|
|oeO)- BOTH SEXES|70.43<br>76.15<br>80.54<br>83.00|84.37<br>85.39|85.79|
|IMR- BOTH SEXES|29.3<br>13.2<br>4.0<br>2.8|2.4<br>2.1|2.0|
94 COUNTRIES, ECONOMIES, AND TlERSRITP.!ES

# GUADELUPE

|GUADELUPE|Proj|ectfon (th|ousands) with NRR=1 by 1995|
|---|---|---|---|
|AGE GROUP<br>1985<br>1990<br>1995<br>2000<br>2005|2010|2015|2020<br>2025<br>2030|
|TOTALM+f<br>348<br>387<br>403<br>417<br>431|447|466|486<br>504<br>520|
|MALES||||
|0-4<br>18<br>22<br>20<br>18<br>16|16|17|18<br>18<br>17|
|5-9<br>14<br>18<br>22<br>19<br>17|16|16|17<br>18<br>18|
|10-14<br>19<br>14<br>18<br>21<br>19|17|16|16<br>17<br>18|
|15-19<br>21<br>19<br>13<br>17<br>21|19|17|16<br>16<br>17|
|20-24<br>20<br>21<br>18<br>13<br>17|21|19|17<br>16<br>16|
|25-29<br>14<br>20<br>20<br>17<br>12|16|21|19<br>17<br>16|
|30-34<br>10<br>14<br>19<br>19<br>17|12|16|20<br>18<br>17|
|35-39<br>9<br>11<br>13<br>19<br>19|16|12|16<br>20<br>18|
|40-44<br>8<br>10<br>10<br>13<br>18|18|16|12<br>16<br>20|
|45-49<br>7<br>8<br>9<br>10<br>12|18|18|16<br>11<br>16|
|50-54<br>6<br>7<br>8<br>9<br>9|12|17|18<br>16<br>11|
|55-59<br>6<br>6<br>7<br>8<br>8|9|12|17<br>17<br>15|
|60-64<br>5<br>6<br>6<br>6<br>7|8|9|11<br>16<br>16|
|65-69<br>4<br>5<br>5<br>5<br>6|6|7|8<br>10<br>15|
|70-74<br>3<br>3<br>4<br>4<br>4|5|6|6<br>7<br>9|
|75+<br>4<br>4<br>5<br>5<br>6|6|7|9<br>10<br>12|
|TOTAL<br>170<br>190<br>196<br>202<br>209|216|226|236<br>245<br>253|
|FEMALES||||
|0-4<br>17<br>21<br>19<br>17<br>16|16|17|17<br>17<br>16|
|5-9<br>12<br>17<br>21<br>18<br>16|15|16|17<br>17<br>17|
|10-14<br>18<br>13<br>17<br>20<br>18|16|15|16<br>17<br>17|
|15-19<br>21<br>18<br>12<br>16<br>20|18|16|15<br>16<br>17|
|20-24<br>20<br>21<br>17<br>12<br>16|20|18|16<br>15<br>16|
|25-29<br>14<br>20<br>20<br>16<br>11|16|20|18<br>16<br>15|
|30-34<br>11<br>14<br>20<br>20<br>16|11|16|20<br>18<br>16|
|35-39<br>11<br>12<br>14<br>19<br>20|16|11|15<br>20<br>18|
|40-44<br>9<br>12<br>11<br>13<br>19|19|16|11<br>15<br>20|
|45-49<br>8<br>9<br>11<br>11<br>13|19|19|16<br>11<br>15|
|50-54<br>7<br>8<br>9<br>11<br>11|13|19|19<br>16<br>11|
|55-59<br>7<br>7<br>8<br>9<br>11|11|13|19<br>19<br>16|
|60-64<br>6<br>7<br>7<br>8<br>9|11|11|13<br>18<br>19|
|65-69<br>5<br>6<br>7<br>7<br>8|9|11|11<br>12<br>18|
|70-74<br>4<br>5<br>5<br>6<br>6|7|8|10<br>10<br>12|
|75+<br>6<br>7<br>8<br>10<br>12<br> <br> <br> <br> <br> <br>|14<br>|15<br>|18<br>21<br>24<br> <br> <br>|
|TOTAL<br>178<br>198<br>207<br>214<br>222|230|240|250<br>259<br>266|
|BIRTH kATE<br>23.9<br>20.1<br>17.2<br>15.4<br>1|4.9<br>1|5.1<br>1|4.9<br>14.1<br>13.2|
|DEATH RATF;<br>6.9<br>6.2<br>6.0<br>6.0<br>6|.2<br>6|.5<br>6|.6<br>6.9<br>7.2|
|RATEOFNAT. INC.<br>1.TC<br>1.39<br>1.12<br>.95<br>.|87<br>.|86<br>.|83<br>.73<br>.60|
|NErMIGRATION<br>RATE<br>4.4<br>-6.1<br>-4.4<br>-2.8<br>-1|.4|.0|.0<br>.0<br>.0|
|<br> <br> <br>GROWTH<br>RATE<br>2.14<br>.78<br>.68<br>.66<br>.|73<br>.|<br>86<br>.|<br> <br><br>83<br>.73<br>.60|
|TOTAL FERTILITY 2.600<br>2.224<br>2.090<br>2.084<br>2.|080<br>2.0|76<br>2.0|72<br>2.068<br>2.064|
|NRR<br>1.236<br>1.061<br>1.000<br>1.000<br>1.|000<br>1.|000<br>1.|000<br>1.000<br>1.000|
|eCO)- BOTH St'XES 73.49<br>74.98<br>76.36<br>77.60<br>78|.35<br>79.|12<br>79.|92<br>80.75<br>81.61|
|eC15)- BOTH SEXES 60.20<br>61.52<br>62.71<br>63.76<br>64|.37<br>65|.00<br>65|.65<br>66.33<br>67.04|
|INR- BOTH SEXES<br>16.0<br>14.0<br>11.9<br>10.0<br>8|.7<br>7|.4<br>6|.0<br>4.7<br>3.4|
|q(5)-BOTH SEXES .0197<br>.0173<br>.0147<br>.0124<br>.0|109<br>.0|094<br>.0|079<br>.0063<br>.0048|
|<br> <br> <br> <br> <br>DEP. RATIO<br>55.6<br>53.7<br>58.6<br>56.5<br>50.3|<br> <br>47.7|<br> <br>48.4|<br> <br><br>50.3<br>53.2<br>59.3|
COUNTRIES, ECONOMIES, AND TERRITORIES 95 Summary Projection for 25-Year Periods GUADELOUPE

|AGE GROUP<br>1985|<br>2000|2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTAL M+F<br>348|417|504|<br>556|<br>571|<br>578|<br>582|<br>584|
|MALES||||||||
|0-4<br>18|18|18|18|<br>17|<br>17|<br>17|<br>17|
|5-9<br>14|19|18|17|17|<br>17|<br>17|<br>17|
|10-14<br>19|21|17|17|17|<br>17|<br>17|<br>17|
|15-19<br>21|17|16|17|17|<br>17|<br>17|<br>17|
|20-24<br>20|13|16|17|17|<br>17|17|<br>17|
|25-29<br>14|17|17|18|17|<br>17|17|<br>17|
|30-34<br>10|19|18|18|17|<br>17|17|<br>17|
|35-39<br>9|19|20|17|17|<br>17|17|<br>17|
|40-44<br>8|13,|<br>16|16|17|<br>17|17|<br>17|
|45-49<br>7|10|11|16|17|<br>17|17|<br>17|
|50-54<br>6|9|16|16|17|<br>17|17|<br>17|
|55-59<br>6|8|17|17|17|<br>17|16|<br>17|
|60-64<br>5|6|16|19|16|<br>16|16|<br>16<br>|
|65-69<br>4|5|10|14|14|<br>15|16|<br>16|
|70-74<br>3|4|7|9|13<br>|<br>14<br>|15<br>|<br>15<br> <br>|
|75+<br>4|5|10|26|31|33|34|<br>35|
|TOTAL<br>170|202|245|272|<br>280|<br>284|286|<br>287|
|FEMALES||||||||
|0-4<br>17|17|17|17|17|17|17<br>|<br>17<br> <br>|
|5-9<br>12|18|17|17|16|16|17|<br>17|
|10-14<br>18|20|17|16|16|<br>17|17|<br>17|
|15-19<br>21|16|16|16|16|17|17|<br>17|
|20-24<br>20|12|15|16|17|17|17|<br>17|
|25-29<br>14|16|16|17|17|17|17|<br>17|
|30-34<br>11|20|18|17|17|16|16|<br>16|
|35-39<br>11|19|20|17|16|16|16|<br>16|
|40-44<br>9|13|15|16|16|16|16|<br>16|
|45-49<br>8|11|11|15|16|17|17|<br>16|
|50-54<br>7|11|16|16|17|17|16|<br>16|
|55-59<br>7|9|19|18|17|<br>16|16|<br>16|
|60-64<br>6|8|18|19|16|16|16|<br>16|
|65-69<br>5|7|12|15|15|16|16|16|
|70-74<br>4|6|10|10|15|16|16|16|
|75+<br>6|10|21|43|47|49|50|51|
|TOTAL<br>178|214|259|284|291|294|296|297|
|BIRTH RATE|20.3|14.9|12.7|12.0|11.8|11.7|11.7|
|<br>DEATHRATE|<br>6.4|<br>6.4|8.8|11.0|11.4|11.4|11.5|
|**NET**MIGRATION<br>RATE|-2.2|-. 8|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|1.20|.76|.39|.11|.05|.03|.01|
|TOTAL FERTILITY|2.305|2.076|2.062|2.059|2.058|2.057|2.057|
|eCO)- BOTHSEXES|74.99|79.21|82.48|84.14|85.05|85.72|86.01|
|<br>**IMR-** BOTHSEXES|14.1|7.3|3.1|2.5|2.2|2.0|2.0|
96 COUNTRIES, ECONOMIES, AND TERRITORIES

# GUATlEMALA

ProJection (thousands) wfth NRRs1 by 2025

|AGE GROUP<br>1985|1990<br>1995<br>2000<br>2005|2010|2015|2020<br>202|5<br>2030|
|---|---|---|---|---|---|
|TOTALH+f<br>7963|9197<br>10622<br>12148<br>13757|15367|16959|18483<br>1988|9<br>21290|
|MALES||||||
|0-4<br>728|795<br>901<br>961<br>1004|1011|1009|982<br>93|3<br>944|
|5-9<br>616|706<br>776<br>**883**<br>947|992|1001|1002<br>97|7<br>930|
|10-14<br>511<br> <br>|608<br>698<br>768<br>877<br> <br> <br> <br>|941<br>|987<br>|997<br>999<br> <br>|<br>975<br> <br>|
|15-19<br>427|503<br>600<br>690<br>760|870|935|982<br>99|<br>996|
|20-24<br>352|415<br>491<br>587<br>678|750|860|927<br>975|<br>988|
|25-29<br>284|338<br>400<br>476<br>574|666|739|851<br>919|<br>969|
|30-34<br>236|272<br>326<br>388<br>**465**|563|656|731<br>843|<br>914|
|35-39<br>183|226<br>262<br>315<br>378|455|554|648<br>724|<br>837|
|40-44<br>150|175<br>217<br>252<br>306|369|447|545<br>640|<br>716|
|45-49<br>131|142<br>167<br>208<br>244|297|359|437<br>535|<br>629|
|50-54<br>117|123<br>134<br>159<br>199|234|286|347<br>424|<br>520|
|55-59<br>96|108<br>114<br>125<br>148|187|221|271<br>331|<br>405|
|60-64<br>71|85<br>96<br>102<br>113|135|171|203<br>251|<br>308|
|65-69<br>48|60<br>72<br>82<br>88|98|118|150<br>18|0<br>224|
|70-74<br>32<br> <br>|37<br>46<br>56<br>65<br>|70|79|96<br>12|4<br>150|
|75+<br>34|36<br>41<br>50<br>62|75|86|99<br>11|9<br>153|
|TOTAL<br>4015<br>|4629<br>5340<br>6102<br>6907|7712|8508|9267<br>9965|<br>10657|
|FEMALES||||||
|0-4<br>705|769<br>870<br>927<br>967|973|970|942<br>894|<br>903|
|5-9<br>598|686<br>752<br>855<br>916|958|965|964<br>939|<br>892|
|10-14<br>498|590<br>679<br>745<br>849|911|954|962<br>962|<br>938|
|15-19<br>416<br> <br>|490<br>583<br>672<br>739<br> <br> <br> <br>|84|906|950<br>960|<br>961|
|20-24<br>346|406<br>479<br>572<br>663|731|838|901<br>947|<br>958|
|25-29<br>282|334<br>393<br>467<br>562|654|n4|832<br>897|<br>944|
|30-34<br>236|272<br>324<br>383<br>459|554|647|718<br>827|<br>895|
|35-39<br>184|228<br>264<br>316<br>376|452|548|641<br>714|<br>824|
|40-44<br>150|178<br>222<br>258<br>310|371|446|542<br>636|<br>710|
|45-49<br>129|146<br>173<br>216<br>252|304|365|440<br>536|<br>630|
|50-54<br>116|124<br>140<br>167<br>210|246|298|357<br>433|<br>528|
|55-59<br>96|110<br>118<br>134<br>160|202|238|289<br>348|<br>423|
|60-64<br>72|89<br>103<br>111<br>126|151|192|227<br>277|<br>336|
|65-69<br>49|64<br>79<br>92<br>100|115|139|178<br>212|<br>261|
|70-74<br>33|40<br>53<br>66<br>78|85|100|122<br>159|<br>191|
|75+<br>37<br>TOTAL<br>3948|42<br>50<br>64<br>83<br>4568<br>5282<br>6045<br>6850|104<br>7655|123<br>8452|148<br>184<br>9216<br>992|<br>240<br> <br>10633|
|<br> <br>BIRTH RATE<br>39|<br> <br> <br> <br>.7<br>38.4<br>35.2<br>32.0<br>2|<br>8.4<br>2|<br>5.3<br>2|<br> <br>2.3<br>19.4|<br><br>18.2|
|DEATH RATE<br>8|.7<br>7.6<br>6.6<br>5.8<br>|5.3<br>5|.0<br>4|.7<br>4.6|4.6|
|RATE OF NAT. INC.<br>3.|10<br>3.08<br>2.86<br>2.62<br>2.|31<br>2.|03<br>1.|76<br>1.48|1.36|
|NET HIGRATION<br>RATE -2|.2<br>-2.0<br>-1.7<br>-1.3<br>-|. 9<br>-|. 6<br>-|. 4<br>-. 2|.0|
|GROWTH<br>RATE<br>2.|88<br>2.88<br>2.68<br>2.49<br>2.|21<br>1.|97<br>1.|72<br>1.47|1.36|
|TOTAL FERTILITY<br>5.6|00<br>5.300<br>4.700<br>4.100<br>3.5|00)<br>3.0|07<br>2.5|84<br>2.220|2.090|
|NRR<br>2.3|92<br>2.318<br>2.104<br>1.8n<br>1.|613<br>1.|400<br>1.|214<br>1.053|1.000|
|etO)- BOTHSEXES 62.<br>|01<br>63.89<br>65.84<br>67.80<br>69<br>|.13<br>70|.50<br>71|.92<br>73.40|74.94|
|o(15)- BOTHSEXES 54.<br>|26<br>55.02<br>55.85<br>56.85<br>57|.65<br>58|.48<br>59|.34<br>60.25|61.19|
|IHR- BOTHSEXES<br>68<br>|.0<br>58.1<br>48.5<br>39.9<br>34<br>|.2<br>28|.4<br>2|2.7<br>17.0|11.2|
|q(5) - BOTHSEXES .09|33<br>.0778<br>.0629<br>.0500<br>.0|428<br>.0|356<br>.0|284<br>.0211|.0139|
|<br>DEP. RATIO<br>95.5|<br> <br>93.0<br>89.5<br>84.1<br>78.2|<br> <br>70.1|<br> <br>62.6|<br> <br>56.1<br>50.6|<br>46.9|
COUNTRIES, ECONOMIES, AND TERRITORIES 97 Summry Projection for 25-Year Periods

# GUATEMMA

|AGE GROUJP<br>1985|<br>2000|2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTAL M+F<br>7963<br>|<br>12148|<br>19889|<br>26488|<br>30413|<br>31605|<br>32221|<br>32507|
|MALES<br>||||||||
|0-4<br>728|961|933|968|<br>976|974|973|<br>972|
|5-9<br>616|883|977|982|978|973|971|<br>971|
|10-14<br>511|768|999|989|975|970|971|<br>971|
|15-19<br>427|690|993|974|966|968|970|<br>971|
|20-24<br>352|587|975|934|957|967|969|<br>970|
|25-29<br>284<br>|476|919|918|959|968|968|<br>967|
|30-34<br>236|388|843|958|969|968|964|<br>964|
|35-39<br>183|315|724|975|972|961|959|<br>960|
|40-44<br>150|252|,<br>640|964|953|<br>948|953|<br>957|
|45-49<br>131|208|535|938|907|935|948|952|
|50-54<br>117|159|424|870|880|927|941|943|
|55-59<br>96|125|331|774|<br>899|921|927|927|
|60-64<br>71|102|251|633|884|900|900|904|
|65-69<br>48<br>|82|180|517|827|846|858|870|
|70-74<br>32|56|124|379|736|752|799|821|
|75+<br>34<br>|50<br>|119|429|1201|1600|1802|<br>1887|
|TOTAL<br>4015|6102|9965|13201|<br>15037|<br>15578|15873|<br>16006|
|FEMALES||||||||
|0-4<br>705|927|894|924|930|929|927|<br>927|
|5-9<br>598|855|939|938|932|928|926|926|
|10-14<br>498<br> <br>|745<br>|962|<br>946|929|925|926|926|
|15-19<br>416|672|960|934|921|923|926|926|
|20-24<br>346|572|947|899|915|924|926|926|
|25-29<br>282|467|897|888|920|<br>927|927|926|
|30-34<br>236<br>|<br>383|827|931|933|929|<br>926|925|
|35-39<br>184|316|714|952|940|925|923|<br>923|
|40-44<br>150<br>|258|636|946|926|916|919|922|
|45-49<br>129|216|536|928|887|907|918|922|
|50-54<br>116|167|433|871|870|908|919|920|
|55-59<br>96|134|348|791|905|915|917|916|
|60-64<br>72|111|277|666|911|913|907|908|
|65-69<br>49|92|212|572|885|886|8a8|898|
|70-74<br>33|66|159|451|835|829|866|885|
|75+<br>37|64|184|648|1735|2342|2606|2725|
|TOTAL<br>3948|6045|9924|13286|15375|16028|16347|16501|
|BIRTH RATE|37.6|24.9|16.5|13.3|12.2|11.9|11.8|
|DEATH RATE|7.5|5.0|5.2|7.8|10.7|11.1|11.4|
|NET**MIGRATION**<br>RATE|-2.0|-. 6|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|2.82|1.97|1.15|.55|.15|.08|.04|
|TOTAL FERTILITY|5.149|2.962|2.082|2.068|2.063|2.059|2.L8|
|eCO) - BOTH SEXES|64.10|70.82|76.98|80.87|83.06|84.74|85.38|
|**IiR**- BOTH SEXES|57.7|28.7|8.4|3.8|2.9|2.3|2.1|
98 COUNTRIES, ECONOMIES, AND TERRITORIES GUYANA Projectlor (thousands) with NRR=1 by 2000

|AGE GROUP<br>1985<br>1990<br>1995<br>2000<br>2005<br>2010<br>2015<br>2020<br>2025<br>2030|
|---|
|TOTAL<br>**H+F**<br>790<br>798<br>818<br>837<br>863<br>901<br>951<br>1000<br>1045<br>1085<br>MALES|
|0-4<br>51<br>51<br>45<br>40<br>38<br>39<br>40<br>41<br>40<br>39|
|5-9<br>45<br>47<br>48<br>43<br>38<br>37<br>39<br>40<br>41<br>40|
|10-14<br>50<br>43<br>45<br>46<br>42<br>38<br>37<br>38<br>40<br>40|
|15-19<br>50<br>47<br>41<br>44<br>45<br>41<br>37<br>37<br>38<br>40|
|20-24<br>45<br>45<br>44<br>38<br>42<br>44<br>41<br>37<br>36<br>38|
|25-29<br>35<br>39<br>41<br>40<br>36<br>40<br>44<br>41<br>37<br>36|
|30-34<br>26<br>30<br>35<br>38<br>38<br>34<br>40<br>43<br>40<br>37|
|35-39<br>20<br>22<br>27<br>32<br>36<br>37<br>34<br>40<br>43<br>40|
|40-44<br>15<br>17<br>20<br>25<br>31<br>35<br>37<br>33<br>39<br>42|
|45-49<br>13<br>13<br>15<br>18<br>23<br>30<br>34<br>36<br>33<br>38|
|50-54<br>11<br>12<br>12<br>14<br>17<br>22<br>29<br>33<br>35<br>32|
|55-59<br>10<br>10<br>11<br>11<br>13<br>16<br>21<br>27<br>31<br>33|
|60-64<br>8<br>9<br>9<br>9<br>10<br>12<br>15<br>19<br>25<br>29|
|65-69<br>5<br>7<br>7<br>7<br>8<br>8<br>10<br>13<br>17<br>23|
|70-74<br>4<br>4<br>5<br>6<br>6<br>6<br>7<br>8<br>11<br>14|
|75+<br>4<br>4<br>4<br>5<br>6<br>7<br>8<br>9<br>10<br>13<br>|
|TOTAL<br>395<br>398<br>408<br>417<br>429<br>447<br>472<br>495<br>517<br>536<br>|
|FEMALES|
|0-4<br>48<br>49<br>44<br>39<br>37<br>38<br>39<br>39<br>39<br>38|
|5-9<br>44<br>44<br>47<br>42<br>37<br>36<br>38<br>39<br>39<br>39|
|10-14<br>49<br>42<br>42<br>45<br>41<br>37<br>36<br>37<br>39<br>39|
|15-19<br>48<br>46<br>39<br>41<br>44<br>40<br>37<br>36<br>37<br>39|
|20-24<br>45<br>43<br>42<br>37<br>39<br>43<br>40<br>37<br>36<br>37|
|25-29<br>37<br>39<br>38<br>39<br>34<br>38<br>43<br>40<br>36<br>36|
|30-34<br>27<br>31<br>35<br>35<br>37<br>33<br>37<br>43<br>40<br>36|
|35-39<br>21<br>23<br>28<br>33<br>34<br>36<br>33<br>37<br>42<br>40|
|40-44<br>16<br>18<br>21<br>27<br>32<br>33<br>35<br>33<br>37<br>42|
|45-49<br>13<br>14<br>17<br>20<br>26<br>31<br>32<br>35<br>32<br>37|
|50-54<br>12<br>12<br>14<br>17<br>20<br>26<br>30<br>32<br>34<br>32|
|55-59<br>10<br>11<br>11<br>13<br>16<br>19<br>25<br>30<br>31<br>34|
|60-64<br>8<br>9<br>10<br>11<br>12<br>15<br>18<br>24<br>28<br>30|
|65-69<br>6<br>7<br>8<br>9<br>9<br>11<br>14<br>17<br>22<br>27|
|70-74<br>5<br>5<br>6<br>7<br>8<br>8<br>10<br>12<br>15<br>20|
|75+<br>6<br>6<br>7<br>7<br>9<br>11<br>12<br>15<br>19<br>24<br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br>|
|TOTAL<br>395<br>400<br>410<br>420<br>434<br>454<br>480<br>505<br>528<br>549|
|BIRTH RATE<br>27.9<br>24.0<br>20.2<br>18.5<br>18.0<br>17.7<br>16.8<br>15.6<br>14.6|
|DEATH RATE<br>8.2<br>7.6<br>7.1<br>6.8<br>6.8<br>6.8<br>6.8<br>6.9<br>7.1|
|RATE OF NAT. INC.<br>1.97<br>1.64<br>1.31<br>1.17<br>1.13<br>1.09<br>1.00<br>.88<br>.75|
|NET MIGRATION<br>RATE -17.6<br>-11.5<br>-8.5<br>-5.5<br>-2.7<br>-. 0<br>.0<br>.0<br>.0|
|GROWTH<br>RATE<br>.21<br>.49<br>.46<br>.61<br>.86<br>1.08<br>1.00<br>.87<br>.75|
|TOTAL FERTILITY<br>3.063<br>2.643<br>2.280<br>2.149<br>2,134<br>2.119<br>2.104<br>2.089<br>2.074|
|<br>NRR<br>1.353<br>1.189<br>1.045<br>1.000<br>1.000<br>1.000<br>1.000<br>1.000<br>1.000|
|**e(O)**- BOTH SEXES 63.19<br>64.84<br>66.60<br>68.42<br>69.69<br>71.02<br>72.41<br>73.86<br>75.38|
|e(15) - BOTH SEXES 53.99<br>54.69<br>55.57<br>56.63<br>57.52<br>58.45<br>59.43<br>60.46<br>61.55|
|**IMR**- BOTH SEXES<br>55.9<br>47.8<br>39.7<br>32.5<br>28.0<br>23.6<br>19.2<br>14.7<br>10.3<br> <br> <br> <br> <br> <br> <br> <br> <br>|
|q(5) - BOTHSEXES .0745<br>.0617<br>.0497<br>.0396<br>.0343<br>.0289<br>.0236<br>.0182<br>.0128|
|<br>DEP. RATIO<br>67.8<br>63.1<br>60.6<br>54.8<br>47.8<br>44.0<br>43.7<br>44.7<br>46.5<br>48.8|
COUNTRIES, ECONOMIES, AND TERRITORIES 99 Summary Projection for 25-Year Periods GUYANA

|AGE GROUP<br>1985<br>TOTAL M+F<br>790|<br>2000<br> <br>837|<br>2025<br> <br>1045|<br>2050<br> <br>1200|<br>2075<br> <br>1262|<br>2100<br> <br>1298|<br>2125<br> <br>1321|<br>2150<br> <br>1332|
|---|---|---|---|---|---|---|---|
|MALES||||||||
|0-4<br>51|<br>40|<br>40|<br>40|<br>40|<br>40|<br>40|<br>40|
|5-9<br>45|<br>43|<br>41|<br>40|<br>40|<br>40|<br>40|<br>40|
|10-14<br>50|<br>46|<br>40|<br>39|<br>39|<br>39|<br>40|<br>40|
|15-19<br>50|44|<br>38|<br>39|<br>39|<br>40|<br>40|<br>40|
|20-24<br>45|<br>38|<br>36|<br>39|<br>39|<br>40|<br>39|<br>39|
|25-29<br>35|40|37|39|40|39|<br>39|<br>39|
|30-34<br>26|38|40|40|39|39|39|<br>39|
|35-39<br>20|32|43|39|39|39|39|<br>39|
|40-44<br>15|<br>25|<br>39|<br>37|<br>38|<br>39|<br>39|<br>39|
|45-49<br>13|<br>18|<br>33|35|38|39|39|<br>39|
|50-54<br>11|<br>14|<br>35|<br>35|<br>38|<br>38|<br>38|<br>38|
|55-59<br>10|<br>11|<br>31|<br>37|<br>37|<br>37|<br>38|<br>38|
|60-64<br>8|9|25|38|36|36|36|<br>37|
|65-69<br>5|7|17|32|32|34|35|<br>36|
|70-74<br>4|<br>6|<br>11|<br>23|<br>28|<br>31|<br>33|<br>34|
|75+<br>4|5|10|38|5r|<br>67|73|<br>77|
|TOTAL<br>395|<br>417|<br>517|<br>590|<br>617|<br>635|<br>646|<br>652|
|FEMALES||||||||
|0-4<br>48|<br>39|<br>39|<br>39|<br>38|<br>38|<br>38|<br>38|
|5-9<br>44|42|39|38|38|38|38|<br>38|
|10-14<br>49|<br>45|<br>39|<br>38|<br>38|<br>38|<br>38|<br>38|
|15-19<br>48|41|37|<br>38|<br>38|<br>38|<br>38|<br>38|
|20-24<br>45|<br>37|<br>36|<br>38|<br>38|<br>38|<br>38|<br>38|
|25-29<br>37|39|36|38|38|38|38|38|
|30-34<br>27|<br>35|<br>40|<br>39|<br>38|<br>38|<br>38|<br>38|
|35-39<br>21|33|42|39|38|38|38|38|
|40-44<br>16|<br>27|<br>37|<br>37|<br>37|<br>38|<br>38|<br>38|
|45-49<br>13|<br>20|<br>32|<br>35|<br>37|<br>38|<br>38|<br>38|
|50-54<br>12|17|34|<br>35|<br>38|<br>38|<br>38|<br>38|
|55-59<br>10|<br>13|<br>31|<br>38|<br>38|<br>38|<br>38|<br>38|
|60-64<br>8|11|<br>28|<br>40|<br>37|<br>37|<br>37|<br>37|
|65-69<br>6|9|22|<br>33|<br>35|<br>36|<br>37|<br>37|
|70-74<br>5|7|15|<br>27|<br>32|<br>35|<br>36|<br>37|
|75+<br>6|7|19|58|86|99|108|<br>112|
|TOTAL<br>395|420|528|611|645|662|674|680|
|BIRTH RATE|24.0|17.3|13.8|12.6|12.2|11.9|11.8|
|DEATH RATE|7.6|6.8|8.3|10.6|11.1|11.2|11.4|
|NETMIGRATION<br>RATE|-12.5|-1.5|.0|.0|.0|.0|.0|
|GROWTH RATE|.39|.89|.56|.20|.11|.07|.03|
|TOTAL FERTILITY|2.659|2.119|2.067|2.055|2.050|2.047|2.046|
|eCO)- BOTH SEXES|64.90|71.21|77.31|81.10|83.22|84.82|85.44|
|IMR- BOTH SEXES|48.6|23.5|7.8|3.7|2.8|2.3|2.1|
# 100 COUNTRIES, ECONOMIES, AND TERRITORIES

HAMII Projection (thousands) with NRR=I by 2035

|AGEGROUP<br>1985<br>1990<br>1995<br>2000<br>2005<br>2010<br>2015<br>2020<br>2025<br>2030|
|---|
|TOTAL M+F<br>5889<br>6472<br>7156<br>7830<br>8482<br>9164<br>9876<br>10603<br>11337<br>12053|
|MALES|
|0-4<br>453<br>497<br>558<br>576<br>590<br>598<br>608<br>612<br>612<br>600|
|5-9<br>389<br>431<br>474<br>533<br>554<br>570<br>581<br>593<br>600<br>602|
|10-14<br>358<br>381<br>422<br>464<br>523<br>545<br>562<br>574<br>588<br>595<br>|
|15-19<br>315<br>349<br>372<br>411<br>453<br>513<br>536<br>554<br>567<br>582<br> <br>|
|20-24<br>269<br>301<br>335<br>356<br>395<br>437<br>498<br>523<br>543<br>558|
|25-29<br>214<br>252<br>283<br>316<br>337<br>377<br>421<br>483<br>510<br>532|
|30-34<br>176<br>199<br>236<br>267<br>28<br>321<br>362<br>407<br>470<br>499|
|35-39<br>145<br>164<br>186<br>222<br>250<br>282<br>306<br>348<br>394<br>458|
|40-44<br>123<br>135<br>153<br>174<br>207<br>236<br>268<br>293<br>335<br>382|
|45-49<br>105<br>114<br>125<br>141<br>160<br>193<br>222<br>254<br>280<br>322|
|50-54<br>90<br>97<br>105<br>115<br>129<br>147<br>179<br>207<br>239<br>265|
|55-59<br>74<br>81<br>87<br>94<br>102<br>115<br>133<br>163<br>190<br>221<br>|
|60-64<br>60<br>64<br>70<br>75<br>80<br>87<br>100<br>117<br>144<br>170<br> <br> <br> <br> <br> <br>|
|65-69<br>47<br>49<br>52<br>57<br>59<br>64<br>71<br>83<br>98<br>122<br> <br> <br> <br>|
|70-74<br>33<br>35<br>36<br>38<br>41<br>44<br>48<br>54<br>64<br>76<br> <br> <br> <br> <br>|
|75+<br>34<br>35<br>36<br>37<br>38<br>41<br>45<br>51<br>59<br>71|
|TOTAL<br>2888<br>3184<br>3529<br>3876<br>4216<br>4571<br>4940<br>5315<br>5692<br>6057|
|FEMALES<br> <br>|
|0-4<br>443<br>482<br>540<br>558<br>571<br>578<br>587<br>590<br>589<br>57?|
|5-9<br>385<br>421<br>460<br>518<br>538<br>553<br>562<br>573<br>579<br>580|
|10-14<br>355<br>376<br>412<br>451<br>508<br>528<br>544<br>555<br>568<br>574|
|15-19<br>313<br>345<br>367<br>401<br>438<br>495<br>518<br>535<br>547<br>562|
|20-24<br>275<br>299<br>331<br>350<br>383<br>421<br>480<br>504<br>524<br>539<br> <br> <br> <br> <br> <br>|
|25-29<br>230<br>259<br>282<br>312<br>330<br>364<br>404<br>465<br>492<br>515<br> <br> <br> <br> <br> <br> <br> <br> <br> <br>|
|30-34<br>195<br>216<br>245<br>266<br>294<br>313<br>349<br>391<br>452<br>482<br> <br> <br> <br> <br> <br> <br> <br>|
|35-39<br>161<br>184<br>205<br>231<br>250<br>279<br>300<br>337<br>379<br>441<br> <br> <br> <br> <br> <br> <br> <br> <br>|
|40-44<br>137<br>152<br>175<br>194<br>218<br>237<br>266<br>288<br>326<br>369<br> <br> <br>|
|45-49<br>118<br>130<br>145<br>165<br>182<br>206<br>226<br>255<br>277<br>315<br> <br> <br> <br> <br> <br> <br>|
|50-54<br>101<br>111<br>122<br>136<br>154<br>170<br>194<br>214<br>243<br>266<br> <br> <br>|
|55-59<br>83<br>93<br>103<br>112<br>123<br>141<br>157<br>180<br>201<br>230<br> <br> <br> <br> <br> <br> <br>|
|60-64<br>69<br>74<br>83<br>91<br>98<br>109<br>126<br>142<br>165<br>185|
|65-69<br>55<br>58<br>63<br>70<br>75<br>82<br>93<br>108<br>124<br>146|
|70-74<br>39<br>43<br>45<br>48<br>53<br>58<br>64<br>74<br>88<br>103<br> <br> <br> <br> <br> <br> <br>|
|75+<br>42<br>44<br>48<br>51<br>52<br>58<br>66<br>77<br>91<br>112<br>TOTAL<br>3001<br>3288<br>3627<br>3955<br>4266<br>4593<br>4936<br>5288<br>5645<br>5996|
|<br> <br> <br> <br> <br> <br> <br> <br> <br> <br>BIRTH RATE<br>36.0<br>36.4<br>33.9<br>31.5<br>29.2<br>27.2<br>25.2<br>23.3<br>21.2|
|DEATH RATE<br>13.5<br>13.0<br>12.9<br>13.2<br>12.1<br>11.1<br>10.3<br>9.6<br>9.0<br> <br> <br>|
|RATE OF NAT. INC.<br>2.25<br>2.33<br>2.10<br>1.82<br>1.71<br>1.61<br>1.49<br>1.37<br>1.23<br> <br> <br>|
|NET MIGRATION<br>RATE -3.6<br>-3.2<br>-2.9<br>-2.2<br>-1.7<br>-1.2<br>-. 7<br>-. 3<br>.0|
|GROWTH<br>RATE<br>1.89<br>2.01<br>1.80<br>1.60<br>1.55<br>1.50<br>1.42<br>1.34<br>1.22|
|TOTAL FERTILITY<br>4.990<br>4.678<br>4.365<br>4.053<br>3.713<br>3.373<br>3.033<br>2.766<br>2.522|
|NRR<br>1.899<br>1.831<br>1.710<br>1.580<br>1.479<br>1.373<br>1.262<br>1.174<br>1.093<br> <br> <br>|
|eCO) - BOTH SEXES 54.00<br>54.61<br>54.23<br>53.23<br>54.96<br>56.78<br>58.70<br>60.73<br>62.87<br> <br> <br>|
|eWiS)- BOTH SEXES 49.07<br>49.23<br>48.13<br>46.23<br>47.42<br>48.67<br>49.99<br>51.39<br>52.86<br> <br> <br> <br> <br> <br> <br> <br> <br> <br>|
|INR- BOTH SEXES<br>97.3<br>93.0<br>86.9<br>79.0<br>72.1<br>65.1<br>58.1<br>51.1<br>44.1<br> <br> <br> <br> <br> <br> <br>|
|q(5)- BOTH SEXES .1395<br>.1327<br>.1231<br>.1107<br>.1010<br>.0912<br>.0814<br>.0715<br>.0617|
|<br>DEP. RATIO<br>80.9<br>78.8<br>78.5<br>76.8<br>73.8<br>68.3<br>63.4<br>59.2<br>55.8<br>52.7|
COUNlRIES, ECONOMIES, AND TERRITORIES 101 HAITI Suary Projection for 25-Year Periods

|AGE GROUP<br>1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTAL<br>M+F<br>5889|7830|<br>11337|<br>14697|<br>17267|<br>18519|<br>19118|<br>19402|
|MALES<br>||||||||
|0-4<br>453|576|612|<br>592|<br>587|<br>586|586|<br>586|
|5-9<br>389|533|600|587|584|<br>585|585|<br>585|
|10-14<br>358<br>|464|**588**|<br>576|582|<br>584|585|<br>585|
|15-19<br>315|411|567|568|581|<br>585|585|<br>585|
|20-24<br>269|356|543|582|<br>581|<br>584|584|<br>584|
|25-29<br>214<br> <br>|316|510|584|<br>583|<br>581|581|<br>582|
|30-34<br>176|267|<br>470|572|576|577|579|<br>580|
|35-39<br>145|222|<br>394|554|563|572|<br>577|<br>578|
|40-44<br>123|174|335|526|<br>551|569|574|<br>576|
|45-49<br>105|141|280|494|560|564|571|<br>572|
|50-54<br>90|115|239|451|552|559|562|<br>565|
|55-59<br>74|94|190|397|525|541|549|<br>554|
|60-64<br>60|75|144|310|483|511|531|<br>540|
|65-69<br>47|57|98|235|423|474|507|519|
|70-74<br>33<br>|38<br>|64<br>|164|349|442|472|487|
|75+<br>34|37|59|178|<br>488|829|1001|<br>1080|
|TOTAL<br>2888<br>|3876|5692|7368|8568|9141|9428|<br>9560|
|FEMALES<br>||||||||
|0-4<br>443|558|589|566|560|558|558|558|
|5-9<br>385|518|579|562|558|558|558|558|
|10-14<br>355|451|568|553|556|558|558|558|
|15-19<br>313|401|547|546|556|558|558|558|
|20-24<br>275|350|524|562|558|559|558|558|
|25-29<br>230|312|492|566|562|558|557|557|
|30-34<br>195<br> <br>|266|452|555|558|555|556|557|
|35-39<br>161<br> <br>|231<br>|379<br>|538|547|552|555|556|
|D-44<br>137|194|326|513|539|551|555|556|
|45-49<br>118|165|277|484|551|550|554|554|
|50-54<br>101|136|243|446|549|551|551|552|
|55-59<br>83|112|201|400|530|542|545|548|
|60-64<br>69|91|165|322|502|524|<br>537|544|
|65-69<br>55|70|124|258|459|504|529|538|
|70-74<br>39<br> <br>|48<br>|88|196|405|496|516|528|
|75+<br>42<br> <br>|51<br>|91<br>|263<br>|709|1203|1445|1562|
|TOTAL<br>3001|3955|5645|7329|8700|9379|9690|9842|
|BIRTH RATE|35.3|27.0|1.3|14.3|12.8|12.2|11.9|
|DEATH RATE|13.1|11.1|8.0|8.0|10.0|10.9|11.3|
|NET MIGRATION<br>RATE<br>|-3.2|-1.2|.0|.0|.0|.0|.0|
|GROUTH<br>RATE|1.90|1.48|1.04|.64|.28|.13|.06|
|**TOTAL**<br>FERTILITY<br>|4.651<br>|3.327<br>|2.262<br>|2.082|2.070|2.061|2.059|
|e(O) - BOTH SEXES|54.29|57.16|67.95|77.07|80.68|83.56|84.63|
|**IMR**- BOTH SEXES|92.2|65.1|30.3|7.9|4.7|2.6|2.3|
102 COUNTRIES, ECONOMIES, AND TERRITORIES

# HONDURAS

> Projectfon (thousands) with NRR=1 by 2025

|AGE GROUP<br>1985<br>1990<br>1995<br>2000<br>TOTAL**H+F**<br>4383<br>5105<br>5921<br>6802|2005<br>7722|2010<br>8633|2015<br>9530|2020<br>202<br>10385<br>1117|5<br>2030<br>2<br>11945|
|---|---|---|---|---|---|
|MALES||||||
|0-4<br>398<br>442<br>488<br>526|548|551|551|539<br>51|6<br>522|
|5-9<br>334<br>390<br>435<br>482|521|544|547|548<br>53|7<br>514|
|10-14<br>302<br>331<br>387<br>433|480|519|542|545<br>54|7<br>536|
|15-19<br>246<br>299<br>328<br>385|430|477|516|540<br>54|4<br>546|
|20-24<br>195<br>241<br>295<br>324|381|426|474|513<br>53|7<br>541|
|25-29<br>154<br>190<br>237<br>m|320|377|422|470<br>50|9<br>534|
|30-34<br>123<br>149<br>186<br>233|286|316|373|419<br>46|6<br>506|
|35-39<br>100<br>119<br>146<br>183|229|282|313|370<br>41|6<br>463|
|40-44<br>82<br>97<br>116<br>143|179|226|279|309<br>36|5<br>412|
|45-49<br>69<br>79<br>94<br>113|140|175|221|273<br>30|4<br>360|
|50-54<br>57<br>66<br>75<br>90|109|135|170|215<br>26|6<br>296|
|55-59<br>47<br>53<br>61<br>71|85|103|128|162<br>20|5<br>255|
|60-64<br>37<br>42<br>48<br>56|64|77|95|118<br>15|0<br>192|
|65-69<br>29<br>31<br>36<br>41|48|56|68|84<br>10|6<br>135|
|70-74<br>21<br>22<br>25<br>28|33|39|46|56<br>70|<br>89|
|75+<br>20<br>23<br>25<br>28|33|40|48|58<br>72|<br>90|
|TOTAL<br>2212<br>2574<br>2982<br>3425|3886|4343|4792|5219<br>560|9<br>5991|
|FEMALES||||||
|0-4<br>384<br>427<br>471<br>507|527|529|529|516<br>493|<br>498|
|5-9<br>322<br>377<br>421<br>466|503|524|526|527<br>515|<br>492|
|10-14<br>292<br>319<br>375<br>419|464|501|523|525<br>526|<br>514|
|15-19<br>239<br>289<br>317<br>373|418|463|500|522<br>524|<br>525|
|20-24<br>193<br>235<br>286<br>315|371|416|461|498<br>520|<br>523|
|25-29<br>153<br>189<br>232<br>283|312|368|413|459<br>496|<br>519|
|30-34<br>123<br>149<br>186<br>229|281|310|366|411<br>457|<br>495|
|35-39<br>99<br>120<br>147<br>184|227|278|307|364<br>409|<br>455|
|40-44<br>82<br>97<br>118<br>145|181|224|276|305<br>361|<br>407|
|45-49<br>69<br>80<br>95<br>116|143|179|222|273<br>302|<br>358|
|50-54<br>57<br>67<br>78<br>92|113|140|175|218<br>268|<br>297|
|55-59<br>47<br>54<br>64<br>75|89|110|136|171<br>212|<br>262|
|60-64<br>38<br>44<br>51<br>60|71|85|105|130<br>164|<br>205|
|65-69<br>30<br>34<br>39<br>46|55|65|78|98<br>122|<br>155|
|70-74<br>21<br>25<br>28<br>33|39|47|57|69<br>87|<br>111|
|75+<br>22<br>25<br>30<br>35<br> <br> <br> <br> <br>|42<br>|53<br>|66<br>|83<br>105<br> <br>|<br>136<br> <br>|
|TOTAL<br>2171<br>2532<br>2939<br>3378|3836|4291|4738|5167<br>556|<br>5954|
|BIRTH RATE<br>39.7<br>37.3<br>34.5<br>3|1.1<br>2|7.5<br>2|4.6<br>2|1.8<br>19.1|17.8|
|DEATH RATE<br>7.9<br>6.9<br>6.1<br>|5.3<br>|4.9<br>|4.6<br>|4.4<br>4.4|4.5|
|RATE OF NAT. INC.3.19<br>3.04<br>2.84<br>2|.58<br>2.|26<br>2.|00<br>1|.73<br>1.47|1.34|
|NET NIGRATION<br>RATE-1.4<br>-.7<br>-. 6<br>|-. 5<br>-|. 3<br>|-. 2<br>-|. 1<br>-. 1|.0|
|GROWTH<br>RATE<br>3.05<br>2.96<br>2.78<br>2|.54<br>2.|23<br>1.|98<br>1|.72<br>1.46|1.34|
|TOTAL FERTILITY5.550<br>4.997<br>4.444<br>3.8|91<br>3.3|38<br>2.9|07<br>2.5|32<br>2.206|2.087|
|NRR<br>2.422<br>2.217<br>2.005<br>1.7|81<br>1.5|43<br>1.3|56<br>1.1|92<br>1.047|1.000|
|eCO)- BOTH SEXES63.96<br>65.47<br>67.09<br>68|.80<br>70|.08<br>71|.40<br>72|.78<br>74.21|75.70|
|eWtS)- BOTH SEXES55.48<br>56.15<br>56.95<br>57|.89<br>58|.59<br>59.|32<br>60.|09<br>60.90|61.75|
|**INR**- BOTH SEXES<br>69.0<br>61.1<br>52.2<br>4|3.5<br>3|6.6<br>2|9.8<br>2|2.9<br>16.1|9.2|
|qC5)-**BOTH**SEXES.0849<br>.0734<br>.0621<br>.0|14<br>.04|35<br>.03|55<br>.02|75<br>.0195|.0115|
|<br> <br> <br> <br>DEP. RATIO<br>98.4<br>92.0<br>87.3<br>81.0|<br> <br>74.4|<br> <br>67.1|<br> <br>60.2|<br> <br>54.2<br>49.4|46.5|
COUNTRIES, ECONOSMIES, AND TERRITORIES 103 HONDURAS Summary Projection for 25-Year Periods

|AGE GROUP<br>1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTAL M+F<br>4383|<br>6802|<br>11172|<br>14751|<br>16802|<br>17415|<br>1772|4<br>17871|
|MALES||||||||
|0-4<br>398|<br>526|516|533|<br>536|<br>535|<br>534|<br>534|
|5-9<br>334|<br>482|537|539|<br>537|<br>534|<br>534|<br>534|
|10-14<br>302|<br>433|547|543|<br>535|<br>533|<br>533|<br>534|
|15-19<br>246|<br>385|544|<br>536|<br>531|<br>532|<br>533|<br>533|
|20-24<br>195|<br>324|537|<br>517|<br>527|<br>531|<br>533|<br>533|
|25-29<br>154|<br>290|509|508|<br>528|<br>532|<br>532|<br>531|
|30-34<br>123|<br>233|466|528|<br>533|<br>532|<br>530|<br>529|
|35-39<br>100|<br>183|416|535|<br>534|<br>528|<br>527|<br>528|
|40-44<br>82|143|365|528|<br>525|<br>522|<br>524|<br>526|
|45-49<br>69|113|304|517|<br>503|<br>515|<br>521|<br>523|
|50-54<br>57|90|266|<br>483|<br>488|<br>511|<br>517|<br>518|
|55-59<br>47|71|205|<br>430|<br>496|<br>507|<br>509|<br>510|
|60-64<br>37|56|150|366|<br>487|<br>495|<br>495|<br>497|
|65-69<br>29|41|106|299|<br>457|<br>468|<br>473|<br>478|
|70-74<br>21|28|70|220|411|<br>419|<br>441|<br>452|
|75+<br>20|28|72|279|<br>694|<br>899|<br>999|<br>1042|
|TOTAL<br>2212|<br>3425|5609|7362|<br>8321|<br>8593|<br>8735|<br>8801|
|FEMALES||||||||
|0-4<br>384|507|493|508|511|510|<br>509|<br>509|
|5-9<br>322|466|515|514|512|510|509|<br>509|
|10-14<br>292|419|526|518|510|508|509|<br>509|
|15-19<br>239|373|<br>524|513|507|507|509|509|
|20-24<br>193|315|520|496|504|508|509|509|
|25-29<br>153|283|496|490|506|509|509|509|
|30-34<br>123|229|<br>457|<br>511|512|510|508|508|
|35-39<br>99|184|409|521|515|508|507|507|
|40-44<br>82|145|361|517|508|503|505|507|
|45-49<br>69|116|302|<br>510|490|499|505|506|
|50-54<br>57|92|268|482|<br>481|499|505|505|
|55-59<br>47|75|212|438|497|502|503|503|
|60-64<br>38|60|164|383|499|501|498|499|
|65-69<br>30|46|122|326|485|487|489|494|
|70-74<br>21|33|87|256|461|459|477|487|
|75+<br>22|<br>35|105|405|985|1300|1438|<br>1501|
|TOTAL<br>2171|3378|5563|7389|841|8822|8989|9070|
|BIRTH RATE|36.9|24.2|16.2|13.2|12.2|11.9|11.8|
|DEATH RATE|6.9|4.7|5.2|8.0|10.8|11.2|11.4|
|NETMIGRATION<br>RATE|-. 9|-.2|.0|.0|.0|.0|.0|
|GROUTH<br>RATE|2.93|1.98|1.11|.52|.14|.07|.03|
|TOTALFERTILITY|4.929|2.874|2.080|2.067|2.062|2.059|2.058|
|**e(O)**- BOTH SEXES|65.66|71.72|77.62|81.25|83.29|84.84|85.45|
|IMR - BOTH<br>SEXES|60.3|30.1|7.1|3.6|2.8|2.2|2.1|
104 COUNTRIES, ECONOMIES, AND TERRITORIES

# JAMAICA

|JAMAICA|||Proj|ection (th|ousands) with NRRw1 by 2000|
|---|---|---|---|---|---|
|AGE GROUP<br>1985|1990<br>1995<br>2000|2005|2010|2015|2020<br>2025<br>2030|
|TOTALM+F<br>2311<br>|2420<br>2520<br>2591|2667|2756|2860|2974<br>3095<br>3223|
|MALES||||||
|0-4<br>139<br> <br>|149<br>140<br>124|116|116|117|116<br>113<br>112|
|5-9<br>143|133<br>143<br>134|119|112|113|115<br>115<br>113|
|10-14<br>148|139<br>129<br>139|130|116|110|112<br>114<br>115|
|15-19<br>140|143<br>134<br>124|135|127|114|109<br>111<br>114|
|20-24<br>119|131<br>135<br>126|118|130|123|111<br>107<br>111|
|25-29<br>91|107<br>120<br>125|118|111|124|120<br>109<br>107|
|30-34<br>65|81<br>98<br>111|117|112|106|121<br>118<br>109|
|35-39<br>51|57<br>74<br>91|105|112|108|103<br>119<br>117|
|40-44<br>44|46<br>52<br>69|86|101|109|106<br>102<br>118|
|45-49<br>39|40<br>42<br>49|65|83|99|107<br>104<br>101|
|50-54<br>35|36<br>38<br>40|46|63|81|96<br>105<br>102|
|55-59<br>30|33<br>34<br>36|38|44|61|78<br>93<br>102|
|60-64<br>26|27<br>30<br>32|33|35|42|58<br>75<br>90|
|65-69<br>23|23<br>24<br>27|29|30|32|39<br>54<br>70|
|70-74<br>22|19<br>19<br>20|23|25|26|29<br>35<br>49|
|75+<br>30|30<br>28<br>28|30|34|38|43<br>48<br>57|
|TOTAL<br>1145|1194<br>1239<br>1273|1309|1353|1404|1461<br>1521<br>1585|
|FEMALES||||||
|0-4<br>137|145<br>136<br>120|113|113|113|112<br>110<br>108|
|5-9<br>136|131<br>139<br>130|116|109|110|111<br>111<br>110|
|10-14<br>143|132<br>127<br>135|127|113|107|108<br>110<br>111|
|15-19<br>141|138<br>127<br>122|131|124|111|106<br>108<br>110|
|20-24<br>122<br>|132<br>130<br>119|115|125|119|108<br>104<br>107|
|25-29<br>95|112<br>123<br>120|110|108|120|116<br>106<br>104|
|30-34<br>69|87<br>105<br>115|114|105|104|118<br>114<br>106|
|35-39<br>54|64<br>82<br>99|111|110|102|102<br>116<br>114|
|40-44<br>45|51<br>60<br>79|96|108|108|101<br>101<br>116|
|45-49<br>40<br>|43<br>49<br>58|77|94|107|107<br>100<br>101|
|50-54<br>37|38<br>42<br>47|57|75|93|105<br>106<br>99|
|55-59<br>33|36<br>t'<br>40|46|56|74|91<br>103<br>104|
|60-64<br>29|31<br>34<br>36|39|44|54|72<br>89<br>101|
|65-69<br>25<br> <br>|27<br>29<br>32|33|37|42|52<br>69<br>87|
|70-74<br>23|22<br>23<br>26|29|31|34|39<br>49<br>66|
|75+<br>39<br> <br>|37<br>37<br>39<br> <br> <br>|44<br>|51<br>|57<br>|65<br>77<br>94<br> <br> <br>|
|TOTAL<br>1166|1225<br>1280<br>1318|1357|1403|1455|1513<br>1574<br>1638|
|BIRTH RATE<br>25|.9<br>23.2<br>19.8<br>1|8.0<br>1|7.3<br>1|6.7<br>**1**|**5.9**<br>149<br>140|
|DEATH RATE<br>6|<br>.9<br>6.2<br>5.6<br>5|<br> <br>.3<br>5|<br> <br>.3<br>5|<br> <br>.4<br>5|<br>.<br>.<br>.5<br>5.7<br>5.9|
|RATE OF NAT. INC. 1.|89<br>1.70<br>1.42<br>1.<br>|27<br>1.|20<br>1.|13<br>1.|03<br>.92<br>.81|
|NET MIGRATION<br>RATE -9|.7<br>-8.9<br>-8.6<br>-|7.0<br>-|5.4<br>-3|.9<br>-|2.5<br>-1.2<br>.0|
|GROWTH<br>RATE<br>.9|2<br>.81<br>.56<br>|.57<br>.|66<br>.|74<br>.|78<br>.80<br>.81|
|TOTAL FERTILITY 3.0|00<br>2.571<br>2.204<br>2.|072<br>2.|068<br>2.|064<br>2.0|60<br>2.056<br>2.052|
|NRR<br>1.4|35<br>1.234<br>1.061<br>1.|000<br>1.|000<br>1.|000<br>1.0|00<br>1.000<br>1.000|
|etO)- BOTH SEXES 72.|56<br>73.59<br>74.71<br>75|.88<br>76|.73<br>77|.63<br>78.|56<br>79.53<br>80.55|
|etIS)- BOTH SEXES 59.|32<br>60.1?<br>61.09<br>62|.07<br>62|.79<br>63.|55<br>64.|34<br>65.17<br>66.04|
|INR- BOTH SEXES<br>17<br>|.0<br>14.9<br>12.6<br>1<br>|0.5<br>9|.2<br>7|.9<br>6|.6<br>5.2<br>3.9|
|qtS)- BOTH SEXES .02|05<br>.0180<br>.0155<br>.0|131<br>.0|115<br>.0|100<br>.0|08<br>0069<br>0054|
|<br>DEP. RATIO<br>77.2|<br>68.6<br>62.9<br>58.2|<br> <br>51.7|<br> <br>47.4|<br> <br>46.0|<br>.<br>.<br>46.2<br>48.0<br>51.1|
COUNTRlES, ECONOMIES, AND TERRrIORIES 105 Summary ProJection for 25-Year Periods JAMACA

|AGE GROUP<br>1985|<br>2000|2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTAL M+F<br>2311|<br>2591|<br>3095|<br>3581|<br>3709|<br>3763|<br>3796|<br>3813|
|MALES||||||||
|0-4<br>139|<br>124|<br>113|<br>113|<br>113|<br>112|<br>112|<br>112|
|5-9<br>143|<br>134|<br>115|<br>113|<br>112|<br>112|<br>112|<br>112|
|10-14<br>148|<br>139|<br>114|<br>112|<br>112|<br>112|<br>112|<br>112|
|15-19<br>140|<br>124|<br>111|<br>111|<br>112|<br>112|<br>112|<br>112|
|20-24<br>119|<br>126|<br>107|<br>111|<br>112|<br>112|<br>112|<br>112|
|25-29<br>91|<br>125|<br>109|<br>112|<br>112|<br>112|<br>112|<br>112|
|30-34<br>65|<br>111|<br>118|<br>113|<br>112|<br>111|<br>111|<br>111|
|35-39<br>51|<br>91|<br>119|<br>112|<br>1I1|<br>111|<br>111|<br>111|
|40-44<br>44|<br>69|<br>102|<br>109|<br>109|<br>110|<br>111|<br>111|
|45-49<br>39|<br>49|<br>104|<br>104|<br>109|<br>110|<br>110|<br>110|
|50-54<br>35|<br>40|<br>105|<br>105|<br>109|<br>109|<br>109|<br>109|
|55-59<br>30|36|93|111|<br>108|<br>107|<br>107|<br>107|
|60-64<br>26<br>|32|75|109|104|<br>104|105|<br>105|
|65-69<br>23|27|54|89|97|99|101|<br>102|
|70-74<br>22|<br>20|<br>35|<br>84|<br>88|<br>93|<br>96|<br>96|
|75+<br>30|<br>28|<br>48|<br>152|<br>199|<br>212|<br>220|<br>225|
|TOTAL<br>1145|<br>1273|<br>1521|<br>1761|<br>1818|<br>1840|<br>1855|<br>1862|
|FEMALES||||||||
|0-4<br>137|<br>120|<br>110|<br>110|<br>109|<br>109|<br>109|<br>109|
|5-9<br>136|<br>130|<br>111|<br>109|<br>109|<br>109|<br>109|<br>109|
|10-14<br>143|<br>135|<br>110|<br>109|<br>109|<br>109|<br>109|<br>109|
|15-19<br>141|<br>122|<br>108|<br>108|<br>109|<br>109|<br>109|<br>109|
|20-24<br>122|<br>119|<br>104|<br>108|<br>109|<br>109|<br>109|<br>109|
|25-29<br>95|120|<br>106|<br>109|<br>109|<br>109|<br>109|<br>109|
|30-34<br>69|115|<br>114|<br>111|<br>109|<br>109|<br>109|<br>109|
|35-Y9<br>54<br>|99|116|<br>110|<br>108|<br>108|<br>109|<br>109|
|40 44<br>45|79|101|<br>107|<br>107|<br>108|<br>109|<br>109|
|45-49<br>40|58|100|<br>103|<br>107|<br>108|<br>108|<br>108|
|50-54<br>37|47|106|<br>104|<br>108|<br>108|<br>108|<br>108|
|55-59<br>33|40|103|<br>111|<br>109|<br>108|<br>107|<br>108|
|60-64<br>29|36|89|112|<br>107|<br>106|<br>107|<br>107|
|65-69<br>25|32|69|95|102|<br>104|<br>106|<br>106|
|70-74<br>23|26|49|91|96|<br>102|<br>104|<br>105|
|75+<br>39<br>|39|77|224|<br>284|<br>308|322|<br>329|
|TOTAL<br>1166|1318|1574|1820|1891|1922|1942|1951|
|BIRTH RATE|22.9|16.5|13.2|12.1|11.9|11.7|11.7|
|DEATH RATE|6.2|5.5|7.4|10.7|11.3|11.4|11.5|
|NET MIGRATION<br>RATE|-9.1|-3.9|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|.76|.71|.58|.14|.06|.04|.02|
|TOTAL FERTILITY|2.574|2.064|2.049|2.044|2.042|2.041|2.040|
|eCO)- BOTH SEXES|73.65|77.73|81.61|83.63|84.75|85.59|85.93|
|INR- BOTHSEXES|14.9|7.9|3.5|2.6|2.3|2.0|2.0|
## 106 COUNTRIES, ECONOMIES, AND TERRITORIES

# MARTINIQUE

|MARTINIQUE<br>Pro|jection<br>(th|ousands) with NRRa1 by 1990|
|---|---|---|
|AGEBROUP<br>1985<br>1990<br>1995<br>2000<br>2005<br>2010|2015|2020<br>2025<br>2030|
|TOTAL M+F<br>341<br>360<br>380<br>399<br>414<br>427|440|453<br>466<br>479|
|MALES|||
|0-4<br>15<br>17<br>18<br>17<br>15<br>15|15|16<br>16<br>16|
|5-9<br>11<br>15<br>17<br>18<br>17<br>15|15|15<br>16<br>16|
|10-14<br>15<br>11<br>15<br>17<br>18<br>17|15|15<br>15<br>16|
|15-19<br>20<br>15<br>11<br>15<br>16<br>17|16|15<br>14<br>15|
|20-24<br>20<br>20<br>15<br>11<br>15<br>16|17|16<br>15<br>14|
|25-29<br>15<br>20<br>20<br>15<br>11<br>15|16|17<br>16<br>15|
|30-34<br>10<br>15<br>20<br>20<br>14<br>10|14|16<br>17<br>16|
|35-39<br>9<br>10<br>15<br>20<br>19<br>14|10|14<br>16<br>17|
|40-44<br>8<br>9<br>10<br>15<br>19<br>19|14|10<br>14<br>16|
|45-49<br>7<br>8<br>9<br>10<br>14<br>19|19|14<br>10<br>14|
|50-54<br>7<br>7<br>8<br>9<br>9<br>14|19|19<br>14<br>10|
|55-59<br>6<br>7<br>7<br>7<br>8<br>9|14|18<br>18<br>13|
|60-64<br>6<br>6<br>6<br>6<br>7<br>8|9|13<br>17<br>17|
|65-69<br>5<br>5<br>5<br>6<br>6<br>6|7|8<br>12<br>16|
|70-74<br>4<br>4<br>5<br>4<br>5<br>5|6|<br><br>7<br>7<br>11|
|75+<br>4<br>5<br>6<br>7<br>7<br>8|8|10<br>11<br>13|
|TOTAL<br>165<br>174<br>185<br>194<br>201<br>208|214|221<br>228<br>234|
|FEMALES|||
|0-4<br>14<br>16<br>17<br>16<br>15<br>14|14|15<br>15<br>15|
|5-9<br>11<br>14<br>16<br>17<br>16<br>14|14|14<br>15<br>15|
|10-14<br>15<br>11<br>14<br>16<br>17<br>16|14|14<br>14<br>15|
|15-19<br>20<br>15<br>11<br>14<br>16<br>17|16|14<br>14<br>14|
|20-24<br>21<br>19<br>15<br>11<br>14<br>16|17|16<br>14<br>14|
|25-29<br>14<br>20<br>19<br>15<br>11<br>14|15|16<br>15<br>14|
|30-34<br>11<br>14<br>20<br>19<br>15<br>11|14|15<br>16<br>15|
|<br> <br> <br> <br> <br> <br> <br>35-39<br>10<br>11<br>14<br>20<br>19<br>15|<br>10|<br> <br><br>13<br>15<br>16|
|40-44<br>9<br>10<br>11<br>14<br>20<br>19|15|10<br>13<br>15|
|45-49<br>8<br>9<br>10<br>11<br>14<br>20|19|14<br>10<br>13|
|50-54<br>8<br>8<br>9<br>10<br>11<br>14|20|18<br>14<br>10|
|55-59<br>7<br>8<br>8<br>9<br>10<br>11|14|19<br>18<br>14|
|60-64<br>7<br>7<br>8<br>8<br>9<br>10|11|13<br>19<br>18|
|65-69<br>6<br>7<br>7<br>8<br>8<br>8|9|10<br>13<br>19|
|70-74<br>4<br>6<br>6<br>6<br>7<br>7|8|9<br>10<br>13|
|75+<br>8<br>8<br>10<br>12<br>14<br>16<br> <br> <br> <br> <br> <br> <br>|17<br>|19<br>21<br>24<br> <br> <br>|
|TOTAL<br>176<br>185<br>196<br>205<br>213<br>219|226|232<br>239<br>245|
|BIRTH RATE<br>19.0<br>19.1<br>17.0<br>14.8<br>13.8<br>1|3.8<br>1|3.9<br>136<br>129|
|<br> <br> <br> <br> <br> <br>DEATH RATE<br>72<br>67<br>65<br>64<br>67<br>6|<br> <br>8<br>7|<br>.<br>.<br>1<br>73<br>76|
|<br>.<br>.<br>.<br>.<br>.<br> <br>RATEOF NAT. INC.<br>1.18<br>1.23<br>1.05<br>.84<br>.72<br>.|.<br> <br>69<br>.|.<br>.<br>.<br>68<br>.63<br>.53|
|NET MIGRATION<br>RATE -1.1<br>-1.1<br>-1.0<br>-1.0<br>-1.0<br>-|. 9<br>-|. 9<br>-. 6<br>.0|
|GROWTH<br>RATE<br>1.07<br>1.12<br>.95<br>.74<br>.62<br>.|60<br>.|59<br>.56<br>.53|
|TOTAL FERTILITY<br>2.140<br>2.084<br>2.079<br>2.075<br>2.073<br>2.0|70<br>2.0|68<br>2.065<br>2.062|
|NRR<br>1.023<br>1.000<br>1.000<br>1.000<br>1.000<br>1.0|00<br>1.0|00<br>1.000<br>1.000|
|e(O)- BOTH SEXES 75.28<br>76.64<br>77.87<br>79.02<br>79.66<br>80.|32<br>81.|00<br>81.69<br>82.41|
|e05)- BOTH SEXES 61.49<br>62.67<br>63.76<br>64.81<br>65.37<br>65.|95<br>66.|54<br>67.16<br>67.80|
|IMR - BOTH SEXES<br>11.0<br>9.0<br>7.5<br>6.4<br>5.7<br>5<br> <br> <br>|.1<br>4|.4<br>3.7<br>3.1|
|q(5)- BOTH SEXES .0136<br>.0113<br>.0096<br>.0083<br>.0075<br>.00|67<br>.00|59<br>.0051<br>.0043|
|<br> <br> <br> <br> <br> <br>DEP.RATIO<br>50.7<br>50.0<br>55.0<br>55.4<br>52.7<br>49.4|<br> <br>48.4|<br> <br><br>49.8<br>55.0<br>64.3|
COUNTRIES, ECONOMIES, AND TERRITORIES 107 Summary Projection for 25-Year Periods

|Summary Projection for|25-Year<br>Per|iods||||M R|TINIQUE|
|---|---|---|---|---|---|---|---|
|AGEGROUP<br>1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|TOTAL<br>M+F<br>341<br>|<br>399|<br>466|<br>500|<br>509|<br>513|<br>516|<br>517|
|MALES<br> <br>||||||||
|0-4<br>15<br>|<br>17|<br>16|<br>15|<br>15|<br>15|<br>15|<br>15|
|5-9<br>11<br> <br>|<br>18<br>|<br>16<br>|<br>15|<br>15|15|15|<br>15|
|10-14<br>15<br> <br>|17<br>|15<br>|15|15|15|15|<br>15|
|15-19<br>20<br>20-24<br>|15<br>|14<br> <br>|15<br> <br>|15<br> <br>|15<br> <br>|15<br> <br>|<br>15<br>|
|<br>20|11|<br>15|<br>15|<br>15|<br>15|<br>15|<br>15|
|25-29<br>15<br> <br>|<br>15<br>|<br>16<br>|<br>16<br> <br>|<br>15<br>|<br>15|<br>15|<br>15|
|30-34<br>10<br> <br>|20<br>|17|<br>15|<br>15|<br>15|<br>15|<br>15|
|35-39<br>9<br> <br>|20<br>|16<br>|<br>15<br>|<br>15<br>|<br>15|<br>15|<br>15|
|40-4t<br>8<br> <br>|15<br>|,<br>14<br>|14<br>|15|15|15|15|
|45-49<br>7<br> <br>|10<br>|10<br>|14<br> <br>|15<br>|15|15|15|
|50-54<br>7<br> <br>|9<br>|14<br>|<br>15<br>|15<br>|15|15|15|
|55-59<br>6<br> <br>|7<br>|18<br>|16<br>|15<br>|15|15|15|
|60-64<br>6<br> <br>|6<br>|17<br>|14<br>|14<br>|14<br>|14|14|
|65-69<br>5<br> <br>|6|12|12|13|14|14|14|
|70-74<br>4<br> <br>|4|7<br>|8<br>|12|13|13|13|
|75+<br>4|7|11|27|29|29|30|31|
|TOTAL<br>165<br>|194|228|244|250|252|254|254|
|FEMALES<br> <br>||||||||
|0-4<br>14<br>|16|15|15|15|15|15|15|
|5-9<br>11<br>|17|15|15|15|15|15|15|
|10-14<br>15<br> <br>|16<br>|14<br>|14|15|15|15|15|
|15-19<br>20<br>2024<br>|14<br>|14<br>|14<br>|15<br>|15<br>|15<br>|15|
|-<br>21<br>2529<br>|11<br>|14<br>|15<br>|15<br>|15<br>|15<br>|15|
|-<br>14<br>3034<br>|15<br>|15<br>|15<br>|15<br>|15<br>|15<br>|15|
|-<br>11<br> <br>|19<br>|16<br>|15<br>|15<br>|15<br>|15<br>|15|
|35-39<br>10<br> <br>|20<br>|15<br>|14<br>|14|15|15|15|
|40-44<br>9<br> <br>|14<br>|13<br>|14<br>|14<br>|15<br>|15|15|
|45-49<br>8<br> <br>|11<br>|10<br>|14<br>|15<br>|15<br>|15|15|
|50-54<br>8<br> <br>|10|14<br>|15|15|15|15|15|
|55-59<br>7<br> <br>|9<br>|18<br>|16<br>|15<br>|14<br>|14<br>|14|
|60-64<br>7<br> <br>|8<br>|19|15|14|14|14|14|
|65-69<br>6<br> <br>|8<br>|13<br>|13<br>|13<br>|14|14|14|
|70-74<br>4<br>|6|10|10|13|14|14|14|
|75+<br>8|12|21|43|43|43|44|45|
|TOTAL<br>176|205|239|256|259|261|262|263|
|BIRTH RATE<br>|18.3|14.0|12.3|11.9|11.8|11.7|11.6|
|DEATH RATE<br> <br>|6.8<br>|6.9<br>|9.5|11.2|11.5|11.5|11.5|
|NET MIGRATION<br>RATE<br> <br>|-1.1<br>|-. 9<br>|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|1.05|.62|.28|.p7|.03|.02|.01|
|TOTAL FERTILITY<br> <br> <br> <br>|2.084<br> <br> <br>|2.070<br>|2.061<br>|2.059<br>|2.058|2.057|2.057|
|eCO)<br>- BOTH SEXES<br>|76.64<br>|80.38|83.14|84.53|85.29|85.85|86.08|
|INR- BOTH SEXES|9.2|5.0|2.8|2.3|2.1|2.0|1.9|
108 COUNTRIES, ECONOMIES, AND TERRrIORIES MEXICO

* Projection (thousands) with NRRu1 by 2005

|AGE<br>GROUP<br>1985||l990|1995|<br>2000||2005|<br>2010||2015|<br>2020|<br>202|5<br>2030|
|---|---|---|---|---|---|---|---|---|---|---|---|---|
|TOTAL**M+F**<br>78524||86154|<br>94820|<br>103273||11098|6<br>118576||126470|<br>134235|<br>14158|6<br>148311|
|MALES<br> <br>|||||||||||||
|0-4<br>5637<br>||5681|<br>5867|<br>5710||5301|<br>5263||5464|<br>5586|<br>5582|<br>5495|
|5-9<br>5261<br> <br>|<br>|5503<br>|<br>5593<br>|<br>5797<br>||5657<br>|<br>5266<br> <br>|<br>|5245|<br>544'|557|3<br>5573|
|10-14<br>5466<br>||5184|<br>5454|<br>5553||5766|<br>5636||5256|<br>5237|<br>5442|<br>5569|
|15-19<br>4689<br>||5376|<br>5125|<br>5405||5514|<br>5737||5619|<br>5242|<br>5225|<br>5432|
|20-24<br>3862<br> <br>|<br>|4515<br>|<br>5261<br>|<br>5037<br>||5336<br>|<br>5465<br>||5708|<br>5592|<br>5220|<br>5204|
|25-29<br>3126<br> <br>|<br>|3641<br>|<br>4374<br> <br>|<br>5146<br>||4952|<br>5276||5431|<br>5675|<br>5562|<br>5194|
|30-34<br>2502||2933|<br>3518|<br>4273||5066|<br>4897||5242|<br>5399|<br>5643|<br>5533|
|35-39<br>1882||2353|<br>2835|<br>3436||4205|<br>5009||4861|<br>5206|<br>5365|<br>5611|
|40-44<br>1633||1770|<br>2273|<br>2765||3373|<br>4147||4958|<br>4814|<br>5160|<br>5321|
|45-49<br>1318||1545|<br>1704|<br>2207||2700|<br>3307||4079|<br>4882|<br>4746|<br>5093|
|50-54<br>1086<br>||1244|<br>1476|<br>1636||2131|<br>2617||3216|<br>3975|<br>4767|<br>4644|
|55-59<br>875<br> <br>||1008<br>|<br>1164<br>|<br>1388||1547|<br>2026||2499|<br>3084|<br>3826|<br>4606|
|60-64<br>677||7m8|<br>914|1061||1274|<br>1429||1884|<br>2339|<br>2904|<br>3626|
|65-69<br>468||580|680|795||932|<br>1130||1279|<br>1701|<br>2130|<br>2666|
|70-74<br>363<br> <br>||368<br>|<br>461<br>|549<br>||652<br>|<br>775<br>||950|<br>1088|<br>1463|<br>1854|
|75+<br>442<br> <br>||437<br>|454<br> <br>|545<br>||677<br>|<br>833<br> <br>|<br>|1023<br>|<br>1276<br> <br>|<br>1546<br>|<br>2014<br>|
|TOTAL<br>39287<br>FEMALES<br>||42927|<br>47155|51302||55082|<br>58815||62715|<br>66544|70155|<br>73433|
|0-4<br>5416<br> <br>||5464<br>|5637<br>|5478||5080|<br>5040||5228|5339|5331|<br>5243|
|5-9<br>5067<br>||5293<br>|5386<br>|5575||5433|<br>5052||5027|5217|5331|<br>5325|
|10-14<br>5283||4997<br>|5250<br>|5352||5550|<br>5418||5046|5022|5213|<br>5328|
|15-19<br>4544||521|04953|5214||5325|<br>5534||5411|5041|5018|<br>5210|
|20-24<br>3798||4417|5134|4892||5170|<br>5299||5524|<br>5403|5034|<br>5011|
|25-29<br>3123<br> <br>||3651|4330|5063||4842|<br>5140||5288|5513|5393|<br>5025|
|30-34<br>2535<br> <br>||3007<br>|3580|4271||5018|<br>4814||5126|5275|5500|<br>5381|
|35-39<br>1941<br> <br>||2450<br>|2953|3534||4233|4989||4797|5109|5259|<br>5485|
|40-44<br>1707<br> <br>||1884<br>|2409<br>|2915<br>||3500<br>|4203<br>||4962<br>|4773<br>|5086|<br>5238|
|45-49<br>1402<br>||1665<br>|l850<br>|2374||2880|3465||4168|4924|4740|<br>5054|
|50-54<br>1163<br> <br>||1365<br>|1629<br> <br>|1815<br>||2335|2838<br>||3420|4117|4869|<br>4692|
|55-59<br>942<br>||1124<br>|<br>1324|1586||1772|<br>2284||2782|3357|4049|<br>4796|
|60-64<br>762<br> <br>||894|1073|<br>1270||1528|<br>1713||2214|2704|3273|<br>3958|
|65-69<br>545<br>||700|<br>828|1002||1196|<br>1446||1629|2116|<br>2596|<br>3157|
|70-74<br>442<br>||471|<br>612|735||902|1086||1325|1506|1973|<br>244l|
|75+<br>566<br>TOTAL<br>39237||637<br>43227|716<br>47665|895<br>51971||1137<br>55904|1440<br>59761||1809<br>63755|2274<br>67690|2767<br>71432|3534<br> <br>74879|
|BIRTH RATE|28|<br>.7<br>|<br>26.6<br>|<br>23.5<br>|2|<br>0.0|<br>18.4|1|<br>7.8|<br>17.0|<br>16.0|<br><br>14.9|
|DEATH RATE|5|.7|5.2|4.9|4|.6|4.7|4|.9|5.1|5.3|5.6|
|RATE OFNAT.<br>INC.|2.|29<br>|2.14<br>|1.86<br>|1.|54|1.37|1.|29|1.19|1.07|.93|
|NET**MIGRATIOM**<br>RATE|-4|.4<br>|-2.2<br>|-1.5|-|. 9|-.4||.0|.0|.0|.0|
|GROWTH RATE<br>|1.|85<br>|1.92<br>|1.71<br>|1.|44|1.32|1.|29|1.19|1.07|.93|
|TOTAL FERTILITY3|5|0<br>3|066<br>2|627<br>2|2|50<br>|115<br>|1|4<br>|093<br>|083<br>||
|<br>|.|<br>|.<br>|.<br>.||<br>|.<br>|.|<br>|.<br>|.<br>|.072|
|NRR<br>1<br>|.6<br>|42<br>1<br>|.421<br>1|.227<br>1.|0|59<br>1|.000<br>1|.|000<br>1|.000<br>1|.000<br>|1.000|
|eCO)**-**BOTH SEXES6<br>|8.<br>|89<br>7<br> <br>|0.19<br>7<br> <br>|1.58<br>7<br> <br>|3.<br>|01<br>7<br> <br>|4.07<br>7<br> <br>|5.<br>|15<br>7<br>|6.28<br>7|7.45<br>|78.67|
|e(15)- BOTH SEXES5<br> <br> <br>|7.<br>|5<br>5<br> <br>|8.70<br>5<br> <br>|9.56<br>6<br> <br>|.<br>|53<br>6<br>|1.22<br>6<br>|1.<br>|94<br>6<br>|2.70<br>6|3.48<br>6|4.31|
|**IMR**<br>**-** BOTH SEXES<br> <br>|43<br>|.0<br> <br> <br>|6.6<br> <br> <br>|0.4<br>2<br> <br>|4<br>|.8<br> <br>|20.8<br> <br>|16<br>|.9<br> <br>|13.0<br> <br>|9.1<br> <br>|5.2<br>|
|qC5)- BOTH SEXES.|5|9<br>.|434<br>.|362<br>.|0|298<br>.|0252<br>.|02|06<br>.|0161<br>.|0115<br>|0069|
|DEP. RATIO<br>80.2||69.5|63.8|58.2||52.7|47.9||<br>45.1|<br> <br>45.2|<br><br>46.5|48.1|
COUNTRIES, ECONOMIES, AND TERRITORIES 109 Stmovry Projection for **25-Year** Periods MEXICO

|AGE GROUIP<br>198|2000|<br>2025|<br>2050|<br>2075|<br>2100|.<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTAL M4F<br>78524<br>MALES<br> <br>|<br>103273<br> <br>|<br>141586<br> <br>|<br>168251<br> <br>|<br>177370<br> <br>|<br>18089<br> <br>|5<br>18303<br>|4<br>184101|
|0-4<br>5637<br> <br>|<br>5710<br> <br>|<br>55S2<br> <br>|<br>5519<br> <br>|<br>54.8<br> <br>|<br>5482<br> <br>|<br>5483<br>|<br>5484|
|5-9<br>5261<br> <br>|<br>5797<br> <br>|<br>5573<br> <br>|<br>5480<br> <br>|<br>5469<br> <br>|<br>5475<br> <br>|<br>5480<br> <br>|<br>5480<br> <br>|
|10-14<br>5466<br> <br>|<br>5553<br> <br>|<br>5442<br> <br>|<br>5429<br> <br>|<br>5462<br>|<br>WS7|<br>5481|<br>5480|
|15-19<br>4689<br> <br>|<br>5405<br> <br>|<br>5225<br> <br>|<br>5414<br> <br>|<br>5474<br> <br>|<br>5482<br> <br>|<br>5479<br>|<br>5477|
|20-24<br>3862<br> <br>|<br>5037<br> <br>|1<br>5220<br> <br>|<br>5460<br> <br>|<br>5487<br>|<br>547S|<br>5468|<br>5467|
|25-29<br>3126<br> <br>|<br>5146<br> <br>|<br>5562<br> <br>|<br>5519<br> <br>|<br>5474<br> <br>|<br>5451<br> <br>|<br>5448<br> <br>|<br>5452<br> <br>|
|30-34<br>2502<br> <br>|<br>4273<br> <br>|<br>5643<br> <br>|<br>5493<br>|<br>5421|<br>5419<br>|<br>5431<br> <br>|<br>5438<br> <br>|
|35-39<br>1882<br> <br>|<br>3436<br> <br>|<br>5365<br> <br>|<br>5338<br> <br>|<br>5349<br> <br>|<br>5395<br> <br>|<br>5418<br> <br>|<br>5425<br> <br>|
|40-44<br>1633<br> <br>|<br>2765<br> <br>|o<br>5160<br> <br>|<br>5095<br> <br>|<br>5308<br> <br>|<br>5384<br>|<br>5404|<br>5406|
|45-49<br>1318|<br>2207|<br>4746|<br>5054|<br>5321|<br>5371|<br>5374|<br>5372|
|50-54<br>1086<br> <br>|<br>1636<br> <br>|<br>4767<br>|<br>5310|<br>5320|<br>5310|<br>5307|<br>5314|
|55-59<br>875<br> <br>|<br>1388<br>|<br>3826|<br>5259|<br>5194|<br>5171|7<br>5205|<br>5230|
|60-64<br>677<br> <br>|<br>1061<br> <br>|<br>2904<br> <br>|<br>4814<br> <br>|<br>4904<br> <br>|<br>4987<br> <br>|<br>5074<br>|<br>5117|
|65-69<br>468<br> <br>|<br>795<br>|<br>2130<br>|<br>4359<br> <br>|<br>4476<br> <br>|<br>4767<br>|<br>4900<br> <br>|<br>4948<br> <br>|
|70-74<br>363<br>75<br>442|549<br>|1463<br>|<br>3634<br> <br>|<br>4127<br> <br>|449?<br>|<br>4633<br> <br>|<br>4680<br> <br>|
|+<br> <br>TOTAL<br>2|545<br>|1546<br>|<br>5737<br> <br>|<br>8903<br> <br>|9825<br> <br>|<br>10464<br> <br>|<br>10813<br> <br>|
|<br>398<br>FEMALES<br> <br>|51302<br>|70155<br>|<br>82913<br>|<br>87178<br> <br>|<br>88975<br>|<br>90048<br> <br>|<br>90581<br>|
|0-4<br>5416<br> <br>|5478<br>|5331<br>|5262|<br>5232|5226|<br>5227|<br>5228|
|5-9<br>5067<br> <br>|5575|5331|5228|<br>5215|5221|<br>5225|<br>5226|
|10-14<br>528<br>|5352|<br>5213|<br>5181|<br>5210|<br>5224|<br>5227|<br>5226|
|15-19<br>4544<br> <br>|<br>5214<br> <br>|<br>5018<br>|<br>5172<br> <br>|<br>5224<br>|<br>5231|<br>5228|<br>5225|
|20-24<br>3798<br> <br>|<br>4892<br> <br>|5034<br>|<br>5228|<br>5246|<br>5233|<br>5224|<br>5223|
|25-29<br>3123<br> <br>|<br>5063<br> <br>|<br>5393<br>|<br>5308<br>|<br>5248|<br>5222|<br>5218|<br>5220|
|30-34<br>2535<br> <br>|<br>4271<br> <br>|5500<br>|<br>5303<br> <br>|<br>5211<br>|<br>5203|<br>5212|<br>5218|
|35-39<br>1941<br> <br>|<br>3534<br> <br>|5259|<br>5177|<br>5156|<br>5192|<br>5211|<br>5216|
|40-44<br>1707<br> <br>|<br>2915<br> <br>|5086<br>|<br>4969|<br>5137|<br>5199|<br>5213|<br>5212|
|45-49<br>1402<br>|<br>2374|4740|496|5179|<br>5211|<br>5206|<br>5202|
|50-54<br>1163<br> <br>|<br>1815<br>|<br>4869<br>|<br>5283|<br>5233|<br>5196|<br>5183|<br>5185|
|55-59<br>942<br> <br>|1586<br>|4049|5334|<br>5191|<br>5134|<br>5145|<br>5163|
|60-64<br>762<br> <br>|1270<br>|3273|5023|<br>5016|<br>5044|<br>5107|<br>5139|
|65-69<br>545<br> <br>|1002<br>|2596|4746|<br>4742|4971|<br>5073|<br>5105|
|70-74<br>442<br> <br>|735<br>|1973|4250|<br>4620|4924|<br>5018|<br>5042|
|75.<br>**_566_**<br> <br>|895<br>|2767<br>|8910<br>|13333<br> <br>|<br>14490<br>|<br>15268|<br>15692|
|TOTAL<br>39237|51971|71432|85339|<br>90193|<br>91920|<br>92986|<br>93520|
|BIRTH RATE|26.1|17.7|13.8|12.4|12.0|11.8|11.7|
|DEATH RATE|5.2|5.0|6.9|10.3|11.2|11.3|11.5|
|NET MIGRATION<br>RATE<br>|-2.6<br>|-.2<br>|.0|.0|.0|.0|.0|
|GROWTH RATE<br>|1.83<br>|1.26<br>|.69|.21|.08|.05|.02|
|TOTAL FERTILITY<br> <br>|3.046<br>|2.127<br>|2.069|2.063|2.060|2.058|2.057|
|eCO)<br>-BOTH<br>SEXES|70.30|75.33|80.06|82.73|84.20|85.30|85.74|
|INR<br>-BOTH<br>SEXES|_36.7_|16.8|4.4|2.9|2.5|2.1|2.0|
## 110 COUNTRIES, ECONOMIES, AND TERRIoRiES

# MONTSERRAT

|MONTSERRAT<br>ProJection(thousands)with NR|R-1 by 2000|
|---|---|
|AGE GROUP<br>1985<br>1990<br>1995<br>2000<br>2005<br>2010<br>2015<br>2020<br>202|5<br>2030|
|TOTAL**M+F**<br>12<br>12<br>12<br>12<br>12<br>13<br>14<br>14<br>1|5<br>15|
|MALES||
|0-4<br>0<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>|1<br>1|
|5-9<br>1<br>0<br>1<br>1<br>1<br>1<br>1<br>1<br> <br> <br> <br> <br> <br> <br>|1<br>1|
|10-14<br>1<br>1<br>0<br>1<br>1<br>1<br>1<br>1<br>|1<br>1|
|15-19<br>1<br>1<br>1<br>0<br>1<br>1<br>1<br>1<br>|1<br>1|
|20-24<br>1<br>1<br>1<br>1<br>0<br>1<br>1<br>1<br>|1<br>1|
|25-29<br>0<br>1<br>1<br>1<br>1<br>0<br>1<br>1<br>|1<br>1|
|30-34<br>0<br>0<br>1<br>1<br>1<br>1<br>0<br>1<br>|1<br>1|
|35-39<br>0<br>0<br>0<br>0<br>0<br>1<br>1<br>0<br>1|<br>1|
|40-44<br>0<br>0<br>0<br>0<br>0<br>0<br>1<br>1<br>0|<br>1|
|45-49<br>0<br>0<br>0<br>0<br>0<br>0<br>0<br>1<br>1|<br>0|
|50-54<br>0<br>0<br>0<br>0<br>0<br>0<br>0<br>0<br>1|<br>1|
|55-59<br>0<br>0<br>0<br>0<br>0<br>0<br>0<br>0<br>0<br> <br> <br> <br> <br> <br> <br> <br> <br> <br>|<br>1<br> <br>|
|60-64<br>0<br>0<br>0<br>0<br>0<br>0<br>0<br>0<br>0|<br>0|
|65-69<br>0<br>0<br>0<br>0<br>0<br>0<br>0<br>0<br>0|<br>0|
|70-74<br>0<br>0<br>0<br>0<br>0<br>0<br>0<br>0<br>0|<br>0|
|75+<br>0<br>0<br>0<br>0<br>0<br>0<br>0<br>0<br>0<br> <br> <br> <br> <br> <br>|<br>0|
|TOTAL<br>6<br>6<br>6<br>6<br>6<br>6<br>7<br>7<br>7|<br>8|
|FEMALES||
|0-4<br>0<br>1<br>1<br>1<br>1<br>0<br>1<br>1<br>1|<br>1|
|5-9<br>1<br>0<br>1<br>1<br>1<br>1<br>0<br>0<br>1|<br>1|
|10-14<br>1<br>1<br>0<br>1<br>1<br>1<br>1<br>0<br>0|<br>1|
|15-19<br>1<br>1<br>1<br>0<br>1<br>1<br>1<br>1<br>0|<br>0|
|20-24<br>1<br>1<br>1<br>1<br>0<br>1<br>1<br>1<br>1|<br>0|
|25-29<br>0<br>1<br>1<br>1<br>1<br>0<br>1<br>1<br>1|<br>1|
|30-34<br>0<br>0<br>1<br>0<br>1<br>1<br>0<br>1<br>1|<br>1|
|35-39<br>0<br>0<br>0<br>0<br>0<br>1<br>1<br>0<br>1|<br>1|
|40-44<br>0<br>0<br>0<br>0<br>0<br>0<br>1<br>1<br>0|<br>1|
|45-49<br>0<br>0<br>0<br>0<br>0<br>0<br>0<br>1<br>1|<br>0|
|50-54<br>0<br>0<br>0<br>0<br>0<br>0<br>0<br>0<br>1|<br>1|
|55-59<br>0<br>0<br>0<br>0<br>0<br>0<br>0<br>0<br>0|<br>1|
|60-64<br>0<br>0<br>0<br>0<br>0<br>0<br>0<br>0<br>0|<br>0|
|65-69<br>0<br>0<br>0<br>0<br>0<br>0<br>0<br>0<br>0|<br>0|
|70-74<br>0<br>0<br>0<br>0<br>0<br>0<br>0<br>0<br>0|<br>0|
|75+<br>0<br>0<br>0<br>0<br>0<br>0<br>0<br>0<br>0<br> <br> <br> <br> <br> <br>|<br>0|
|TOTAL<br>6<br>6<br>6<br>6<br>6<br>7<br>7<br>7<br>7|<br>8|
|BIRTH RATE<br>21.5<br>20.9<br>19.3<br>17.5<br>16.2<br>15.6<br>15.2<br>14.7|14.1|
|DEATH RATE<br>11.3<br>10.3<br>9.3<br>7.9<br>7.3<br>6.7<br>6.4<br>6.4|6.8|
|RATE OF NAT INC<br>103<br>106<br>100<br>96<br>89<br>88<br>88<br>83|73|
|. .<br>.<br>.<br>.<br>.<br>.<br>.<br>.<br>.<br>NET**MIGRATION**<br>RATE -10.1<br>-10.1<br>-6.7<br>-3.3<br>.0<br>.0<br>.0<br>.0|.<br>.0|
|GROWTH<br>RATE<br>.02<br>.05<br>.33<br>.63<br>.89<br>.88<br>.88<br>.83|.73|
|TOTAL FERTILITY<br>2.638<br>2.402<br>2.187<br>2.106<br>2.099<br>2.091<br>2.084<br>2.076|2.069|
|NRR<br>1.223<br>1.126<br>1.032<br>1.000<br>1.000<br>1.000<br>1.000<br>1.000|1.000|
|**e(O)**- BOTH SEXES 69.80<br>71.67<br>73.41<br>74.98<br>75.90<br>76.86<br>77.84<br>78.87|79.92|
|e(15) - BOTH SEXES 58.00<br>59.43<br>60.76<br>61.95<br>62.60<br>63.27<br>63.97<br>64.69|65.45|
|IMR- BOTH SEXES<br>32.0<br>27.5<br>22.9<br>18.7<br>15.8<br>12.9<br>10.0<br>7.1|4.2|
|q(5) -BOTHSEXES 0390<br>0330<br>0274<br>0225<br>0192<br>0158<br>0125<br>0091|0058|
|.<br>.<br>.<br>.<br>.<br>.<br>.<br>.<br>DEP. RATIO<br>76.3<br>67.3<br>59.9<br>60.4<br>53.6<br>48.0<br>45.6<br>46.3<br>48.6|.<br> <br>53.2|
COUNTRIES, ECONOMIES, AND TERRrIORIES 111

|Summary Projection for|25-Year Per|iods||||MONT|SERRAT|
|---|---|---|---|---|---|---|---|
|AGEGROUP<br>1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|TOTALM+F<br>12|12|15|<br>17|<br>17|18|18|<br>18|
|MALES||||||||
|0-4<br>0|1|<br>1|1|1|1|1|<br>1|
|5-9<br>1|1|1|1|1|1|1|<br>1|
|10-14<br>1<br>|<br>1|1|1|1|1|1|1|
|15-19<br>1|0|1|1|1|1|1|1|
|20-24<br>1|1|1|1|1|1|1|<br>1|
|25-29<br>0|<br>1|1|1|<br>1|<br>1|<br>1|<br>1|
|30-34<br>0|1|1|1|1|1|1|1|
|35-39<br>0|0|1|1|1|1|1|1|
|40-44<br>0|0|0|1|1|1|1|1|
|45-49<br>0|0|1|1|1|1|1|1|
|50-54<br>0|0|1|1|1|1|1|1|
|55-59<br>0<br>|0|0|1|1|1|1|1|
|60-64<br>0|<br>0|<br>0|<br>0|<br>0|0|0|<br>1|
|65-69<br>0<br> <br>|0<br>|0<br>|0|0|0|0|0|
|70-74<br>0|0|0|0|0|0|0|0|
|75+<br>0|<br>0|<br>0|<br>1|1|1|1|1|
|TOTAL<br>6|6|7|8|9|9|9|9|
|FEMALES||||||||
|0-4<br>0<br>|1|1|1|1|1|1|1|
|5-9<br>1<br>|1|1|1|<br>1|1|1|1|
|10-14<br>1|1|0|1|1|1|1|1|
|15-19<br>1|0|0|1|1|1|1|1|
|20-24<br>1|1|1|1|1|1|1|<br>1|
|25-29<br>0|1|1|1|<br>1|1|1|1|
|30-34<br>0|0|1|1|1|1|1|1|
|35-39<br>0|0|1|0|1|1|1|1|
|40-44<br>0|0|0|0|1|1|1|1|
|45-49<br>0|0|1|1|1|1|1|1|
|50-54<br>0|0|1|1|1|1|1|1|
|55-59<br>0|0|0|1|0|0|1|1|
|e-64<br>0|0|0|1|0|0|1|1|
|65-69<br>0|0|0|0|0|0|0|0|
|70-74<br>0|0|0|1|0|0|0|0|
|75+<br>0|0|0|1|1|1|1|2|
|TOTAL<br>6|6|7|9|9|9|9|9|
|BIRTH RATE|20.6|15.8|13.1|12.3|12.0|11.8|11.7|
|DEATHRATE|10.3|6.9|8.4|10.8|11.3|11.4|11.5|
|NETMIGRATION<br>RATE|-9.0|-. 6|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|.13|.82|.48|.15|.07|.04|.02|
|TOTAL FERTILITY|2.405|2.091|2.066|2.061|2.059|2.058|2.057|
|eO)<br>BOTHSEXES|71.64|76.97|81.09|83.33|84.56|85.48|85.85|
|IMR**-** BOTHSEXES|27.6|12.9|3.7|2.7|2.3|2.1|2.0|
## 112 COUNTRIES, ECONOMIES, AND TERRITORIES

# NET **IERLA** DS ANTILLES

Projection (thousands) wfth NRRD1 by 1990

|AGE GROUP<br>1985<br>1990<br>1995<br>2000<br>2005<br>2010<br>2015<br>2020<br>2025<br>2030|
|---|
|TOTAL<br>M+F<br>182<br>189<br>201<br>215<br>228<br>240<br>250<br>260<br>269<br>277|
|MALES|
|0-4<br>9<br>9<br>9<br>9<br>9<br>9<br>9<br>9<br>9<br>9<br> <br> <br>|
|5-9<br>10<br>8<br>9<br>9<br>9<br>9<br>9<br>9<br>9<br>9<br>|
|10-14<br>10<br>9<br>8<br>9<br>9<br>9<br>9<br>9<br>9<br>9<br> <br> <br>|
|15-19<br>11<br>10<br>9<br>8<br>9<br>9<br>9<br>9<br>9<br>9<br> <br> <br> <br>|
|20-24<br>9<br>10<br>10<br>9<br>8<br>9<br>9<br>9<br>9<br>9|
|25-29<br>7<br>8<br>10<br>9<br>9<br>8<br>9<br>9<br>9<br>9|
|30-34<br>7<br>7<br>8<br>10<br>9<br>9<br>8<br>9<br>9<br>9|
|35-39<br>5<br>6<br>7<br>8<br>10<br>9<br>9<br>8<br>9<br>9|
|40-44<br>4<br>5<br>6<br>7<br>8<br>10<br>9<br>9<br>8<br>8|
|45-49<br>4<br>4<br>5<br>6<br>7<br>8<br>10<br>9<br>9<br>8|
|50-54<br>3<br>'4<br>4<br>5<br>6<br>7<br>8<br>10<br>9<br>9|
|55-59<br>3<br>3<br>4<br>4<br>5<br>6<br>6<br>8<br>10<br>9|
|60-64<br>2<br>3<br>3<br>3<br>4<br>5<br>6<br>6<br>7<br>9<br> <br> <br> <br> <br>|
|65-69<br>1<br>2<br>2<br>3<br>3<br>4<br>4<br>6<br>6<br>7<br>|
|70-74<br>1<br>1<br>2<br>2<br>3<br>3<br>3<br>4<br>5<br>5<br>|
|75+<br>2<br>2<br>2<br>2<br>3<br>4<br>5<br>6<br>7<br>8<br> <br> <br>|
|TOTAL<br>88<br>92<br>98<br>105<br>112<br>118<br>123<br>128<br>133<br>137<br>|
|FEMALES<br> <br> <br>|
|0-4<br>8<br>8<br>9<br>9<br>9<br>9<br>8<br>9<br>9<br>9<br>|
|5-9<br>9<br>8<br>8<br>9<br>9<br>9<br>9<br>8<br>9<br>9|
|10-14<br>10<br>9<br>8<br>8<br>9<br>9<br>9<br>9<br>8<br>9|
|15-i9<br>11<br>9<br>9<br>8<br>8<br>9<br>9<br>9<br>9<br>8<br>|
|20-24<br>9<br>10<br>9<br>9<br>8<br>8<br>9<br>9<br>9<br>9|
|<br> <br><br>25-29<br>8<br>8<br>10<br>9<br>9<br>8<br>8<br>9<br>9<br>9<br> <br>|
|30-34<br>7<br>8<br>8<br>10<br>9<br>9<br>8<br>8<br>9<br>9<br> <br> <br>|
|35-39<br>6<br>7<br>8<br>8<br>10<br>9<br>9<br>8<br>8<br>9<br> <br>|
|40-44<br>5<br>6<br>7<br>8<br>8<br>10<br>9<br>9<br>8<br>8<br> <br> <br> <br> <br> <br>|
|45-49<br>4<br>5<br>6<br>7<br>8<br>8<br>10<br>9<br>9<br>8<br> <br>|
|50-54<br>4<br>4<br>5<br>6<br>7<br>8<br>8<br>10<br>9<br>9<br> <br>|
|55-59<br>3<br>4<br>4<br>5<br>6<br>7<br>8<br>8<br>10<br>9|
|60-64<br>3<br>3<br>3<br>4<br>5<br>6<br>7<br>7<br>8<br>9<br>|
|65-69<br>2<br>2<br>3<br>3<br>4<br>5<br>6<br>7<br>7<br>8|
|70-74<br>1<br>2<br>2<br>3<br>3<br>4<br>4<br>5<br>6<br>7|
|75+<br>4<br>3<br>3<br>4<br>5<br>6<br>7<br>9<br>11<br>13<br>TOTAL<br>94<br>97<br>1<br> <br> <br> <br> <br> <br> <br>|
|<br> <br> <br>03<br>110<br>116<br>122<br>127<br>132<br>136<br>140|
|BIRTH RATE<br>19.1<br>18.9<br>18.0<br>16.5<br>15.1<br>14.2<br>13.8<br>13.5<br>13.2<br>|
|DEATHRATE<br>5.5<br>4.8<br>4.6<br>4.7<br>5.1<br>5.6<br>6.1<br>6.6<br>7.3|
|RATE OF NAT. INC. 1.36<br>1.41<br>1.34<br>1.19<br>1.00<br>.87<br>.78<br>.69<br>.59|
|NET MIGRATION<br>RATE -5.4<br>-2.1<br>.0<br>.0<br>.0<br>.0<br>.0<br>.0<br>.0|
|GROWTH<br>RATE<br>.82<br>1.20<br>1.34<br>1.19<br>1.00<br>.87<br>.78<br>.69<br>.59|
|TOTAL FERTILITY 2.148<br>2.093<br>2.087<br>2.082<br>2.078<br>2.074<br>2.070<br>2.067<br>2.063|
|NRR<br>1.023<br>1.000<br>1.000<br>1.000<br>1.000<br>1.000<br>1.000<br>1.000<br>1.000<br>|
|eCO)- BOTH SEXES 75.99<br>77.62<br>79.04<br>80.20<br>80.74<br>81.30<br>81.87<br>82.44<br>83.03<br> <br>|
|e(IS)- BOTH SEXES 62.50<br>63.97<br>65.23<br>66.24<br>66.65<br>67.07<br>67.50<br>67.94<br>68.39|
|IMR- BOTH SEXES<br>14.0<br>12.2<br>10.4<br>8.8<br>7.6<br>6.4<br>5.2<br>4.0<br>2.8<br> <br> <br> <br>|
|q(5)- BOTH SEXES .0172<br>.0150<br>.0129<br>.0111<br>.0097<br>.0083<br>0069<br>0055<br>0040|
|<br> <br>.<br>.<br>.<br>DEP. RATIO<br>57.4<br>50.9<br>48.2<br>49.1<br>49.4<br>49.1<br>49.4<br>51.5<br>54.3<br>58.3|
COUNTRIES, ECONOMIES, ANn TERRrrORIES 113 Summary Projection for 25-Year Porlods NEHERILANDS ANTILLES

|AGE GROUP<br>1985<br>TOTAL MWF<br>182|<br>2000<br> <br>215|<br>2025<br> <br>269|<br>2050<br> <br>294|<br>2075<br> <br>300|<br>2100<br> <br>303|<br>212<br> <br>304|5<br>2150<br> <br>305|
|---|---|---|---|---|---|---|---|
|MALES||||||||
|0-4<br>9|<br>9|<br>9|<br>9|<br>9|<br>9|<br>9|<br>9|
|5-9<br>10|<br>9|<br>9|<br>9|<br>9|<br>9|<br>9|<br>9|
|10-14<br>10|<br>9|<br>9|<br>9|<br>9|<br>9|<br>9|<br>9|
|15-19<br>11|<br>8|<br>9|9|9|9|<br>9|<br>9|
|20-24<br>9|<br>9|<br>9|<br>9|<br>9|<br>9|<br>9|<br>9|
|25-29<br>7|<br>9|<br>9|<br>9|<br>9|<br>9|<br>9|<br>9|
|30-34<br>7|<br>10|<br>9|<br>9|<br>9|<br>9|<br>9|<br>9|
|35-39<br>5|8|9|9|9|9|<br>9|<br>9|
|40-44<br>4|<br>7|<br>8|<br>9|<br>9|<br>9|<br>9|<br>9|
|45-49<br>4|<br>6|<br>9|<br>9|<br>9|<br>9|<br>9|<br>9|
|50-54<br>3|5|9|9|9|9|<br>9|<br>9|
|55-59<br>3|<br>4|<br>10|<br>9|<br>9|<br>9|<br>9|<br>9|
|60-64<br>2|<br>3|<br>7|<br>8|<br>8|<br>8|<br>8|<br>8|
|65-69<br>1|3|6|7|8|8|8|<br>8|
|70-74<br>1|<br>2|<br>5|<br>8|<br>8|<br>8|<br>8|<br>8|
|75+<br>2|<br>2|<br>7|<br>16|<br>17|<br>18|<br>18|<br>18|
|TOTAL<br>88|<br>105|<br>133|<br>146|<br>148|<br>149|<br>150|<br>150|
|FEMALES||||||||
|0-4<br>8|<br>9|<br>9|<br>9|<br>9|<br>9|<br>9|<br>9|
|5-9<br>9|<br>9|<br>9|<br>9|<br>9|<br>9|<br>9|<br>9|
|10-14<br>10|<br>8|<br>8|<br>9|<br>9|<br>9|<br>9|<br>9|
|15-19<br>11|<br>8|<br>9|<br>9|<br>9|<br>9|<br>9|<br>9|
|20-24<br>9|<br>9|<br>9|<br>9|<br>9|<br>9|<br>9|<br>9|
|25-29<br>8|<br>9|<br>9|<br>9|<br>9|<br>9|<br>9|<br>9|
|30-34<br>7|<br>10|<br>9|<br>9|<br>9|<br>9|<br>9|<br>9|
|35-39<br>6|8|8|8|9|9|9|9|
|40-44<br>5|<br>8|8|<br>8|<br>9|<br>9|<br>9|<br>9|
|45-49<br>4|7|<br>9|<br>9|<br>9|<br>9|<br>9|<br>9|
|50-54<br>4|6|9|<br>9|<br>9|<br>9|<br>9|<br>9|
|55-59<br>3|5|10|<br>9|<br>8|<br>8|<br>9|<br>9|
|60-64<br>3|4|8|<br>8|<br>8|<br>8|<br>8|<br>9|
|65-69<br>2|3|7|7|<br>8|<br>8|<br>8|<br>8|
|70-74<br>1|<br>3|6|<br>8|<br>8|<br>8|<br>8|<br>8|
|75+<br>4|4|11|<br>22|<br>24|<br>25|<br>26|<br>26|
|TOTAL<br>94|<br>110|<br>136|<br>149|<br>152|<br>153|<br>154|<br>155|
|BIRTH RATE|18.6|14.6|12.5|11.9|11.8|11.7|11.6|
|DEATH RATE|4.9|5.6|9.0|11.1|11.4|11.5|11.5|
|NET MIGRATION<br>RATE|-2.4|.0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|1.12|.90|.35|.08|.04|.02|.01|
|TOTAL FERTILITY|2.105|2.074|2.062|2.059|2.058|2.057|2.057|
|e(O)- BOTH SEXES|77.61|81.36|83.65|84.83|85.47|85.94|86.13|
|INR- BOTH SEXES|12.2|6.4|2.6|2.2|2.1|2.0|1.9|
114 COUNTRIES, ECONOMIES, AND TERRITORIES

# NICARAGUA

Projectfon (thousande) with NRROI by 2025

|AGE GROIJP<br>1985|1990<br>1995<br>2000|2005|2010|2015<br>2020|2025|2030|
|---|---|---|---|---|---|---|
|TOTAL<br>**N+F**<br>3272|3853<br>4505<br>5198|5922|6643|7361<br>8049|8680|9298|
|MALES|||||||
|0-4<br>308|348<br>386<br>410|426|429|434<br>425|405|408|
|5-9<br>254|301<br>342<br>381|406|422|427<br>432|424|404|
|10-14<br>216<br> <br>|251<br>298<br>339<br> <br> <br>|379<br>|404<br>|421<br>426|431|424|
|15-19<br>180|214<br>249<br>296|337|377|402<br>419|424|430|
|20-24<br>148|177<br>210<br>246|293|335|375<br>400|417|423|
|25-29<br>121|145<br>1,?4<br>207|243|290|332<br>372|397|415|
|30-34<br>99|118<br>142<br>171|205|241|288<br>330|370|395|
|35-39<br>73|96<br>115<br>139|168|202|238<br>286|327|367|
|40-44<br>57|71<br>94<br>113|137|166|200<br>236|283|324|
|45-49<br>48|55<br>69<br>92|111|134|163<br>197|232|279|
|50-54<br>39|46<br>53<br>66|89|107|131<br>159|192|227|
|55-59<br>32|36<br>43<br>50|63|85|103<br>125|153|185|
|60-64<br>24|29<br>33<br>39|46|58|79<br>96|118|144|
|65-69<br>17|20<br>25<br>29|35|41|52<br>71|87|107|
|70-74<br>11|13<br>16<br>20|23|29|34<br>44|60|75|
|754+<br>9|12<br>15<br>19|24|29|36<br>45|58|79|
|TOTAL<br>1635|1931<br>2263<br>2616|2984|3350|3714<br>4062|4379|4687|
|**FENAL.'**|||||||
|0-4<br>297|336<br>373<br>**395**|410|412|416<br>407|386|388|
|5-9<br>246|291<br>331<br>368|392|407|410<br>414|406|385|
|10-14<br>210|244<br>289<br>329|367|390|406<br>409|414|405|
|15-19<br>178|208<br>242<br>287|327|366|389<br>405|409|413|
|20-24<br>149|175<br>205<br>239|284|325|364<br>387|404|408|
|25-29<br>123|145<br>171<br>201|236|282|323<br>362|386|403|
|30-34<br>102|120<br>142<br>168|199|234|280<br>321|360|385|
|35-39<br>75|99<br>117<br>140|166|197|232<br>278|320|359|
|40-44<br>59|73<br>97<br>115|138|164|195<br>230|276|318|
|45-49<br>49|57<br>71<br>95|113|136|162<br>193|228|274|
|50-54<br>42|47<br>55<br>69|93|111|133<br>159|189|224|
|55-59<br>35|40<br>45<br>53|66|90|107<br>129|155|186|
|60-64<br>27|32<br>37<br>42|50|63|85<br>103|125|150|
|65-69<br>19|24<br>29<br>33|38|46|58<br>79|96|118|
|70-74<br>13|16<br>20<br>24|28|33|40<br>51|71|88|
|75+<br>13<br> <br>|16<br>19<br>24<br> <br> <br>|31<br>|38<br>|47<br>59<br> <br>|77<br>|107<br>|
|TOTAL<br>1637|1922<br>2242<br>2582|2938|3293|3647<br>3988|4302|4611|
|BIRTH RATE<br>41|.4<br>38.6<br>34.8<br>3|1.2<br>27|.7<br>2|4.9<br>22.1<br>1|9.2<br>1|7.9|
|DEATH RATE<br>7|.6<br>6.4<br>5.4<br>4|.6<br>4|.3<br>4|.1<br>4.0<br>|4.0|4.1|
|RATE OF NAT. INC.3.|38<br>3.22<br>2.95<br>2.|67<br>2.|34<br>2.|08<br>1.80<br>1|.52<br>1|.38|
|NET MIGRATION<br>RATE -|1.1<br>-1.0<br>-.8<br>-|. 6<br>-|. 4<br>-|. 3<br>-. 2|-. 1|.0|
|GROUTH<br>RATE<br>3.|27<br>3.13<br>2.86<br>2.|61<br>2.|30<br>2.|05<br>1.79<br>1|.51<br>1|.38|
|TOTAL FERTILITY5.5|00<br>5.200<br>4.600<br>4.0|00<br>3.4|00<br>2.9|45<br>2.550<br>2.|209<br>2.|085|
|NRR<br>2.3|75<br>2.306<br>2.089<br>1.8|50<br>1.5|85<br>1.3|83<br>1.206<br>1.|052<br>1.|000|
|e(O)- BOTH SEXES63.|28<br>65.72<br>68.04<br>70.|23<br>71.|43<br>72.|68<br>73.98<br>75|.34<br>76|.75|
|e(IS)- BOTH SEXES54.|87<br>55.99<br>57.22<br>58.|57<br>59.|30<br>60.|06<br>60.86<br>61|.70<br>62|.59|
|INR- BOTH SEXES<br>62<br>|.0<br>50.5<br>40.9<br>33<br> <br> <br> <br>|.1<br>27<br> <br>|.9<br>22<br> <br>|.7<br>17.5<br>1<br> <br> <br>|2.3<br><br> <br>|7.1<br>|
|**q(5)**- BOTH SEXES.08|39<br>.0659<br>.0515<br>.04|04<br>.03|42<br>.02|79<br>.0217<br>.0|154<br>.0|091|
|<br>DEP. RATIO<br>97.2|94.4<br>90.6<br>83.8|76.0|67.7|60.7<br>55.2|50.6|47.4|
COUNTRIES, ECONOMIES, AND TERRrIORIES 115 Sumnary Projection for 25-Year Periods NICARAGUA

|AGE GROUP|1985|2000|2025|2050|2075|2100|2125|2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL N+F|3272|5198|8680|<br>11553|13219|13682|13898|14000|
|MALES|||||||||
|0-4|308|410|405|418|420|<br>419|418|418|
|5-9|254|381|424|423|420|418|418|418|
|10-14|216|339|431|426|419|417|417|417|
|15-19|180|296|424|420|415|416|417|417|
|20-24|148|246|417|405|413|416|417|417|
|25-29|121|207|397|400|414|417|416|416|
|30-34|99|171|370|418|419|416|415|414|
|35-39|73|139|327|423|420|414|413|413|
|40-44|57|113|283|413|412|408|410|412|
|45-49|48|92|232|404|394|404|408|410|
|50-54|39|66|192|379|385|401|405|406|
|55-59|32|50|153|343|394|399|400|399|
|60-64|24|39|118|292|<br>387|391|389<br>|389<br>|
|65-69|17|29|87|237|362|369|371|375<br>|
|70-74|11|20|60|175|327|332|348|355|
|75+|9|19|58|224|574|731|797|824|
|TOTAL|1635|2616|4379|5799|6575|6769|6858|6900|
|FEMALES|||||||||
|0-4|297|395|386|398|400|399|399|398|
|5-9|246|368|406|403|401|399|398|398|
|10-14|210|329|414|406|399|398|398|398|
|15-19|178|287|409|400|396|397|398<br>|398<br>|
|20-24|149|239|404|386|394|397|398|398|
|25-29|123|201|386|384|396|399|398|398|
|30-34|102|168|360|403|401|399|398|397|
|35-39|75|140|320|410|403|397|397|397|
|40-44|59|115|276|403|397|394|395|397|
|45-49|49|95|228|396|382|391|395|396|
|50-54|42|69|189|376|377|391|395|396<br>|
|55-59|35|53|155|346|392|394|394|394|
|60-64|27|42|125|300|393|392|390|390|
|65-69|19|33|96|250|379|381|382|386|
|70-74|13|24|71|194|359|358|374|381|
|75+|13|24|77|299|776|1027|1130|1177|
|TOTAL|1637|2582|4302|5754|6644|6913|7040|7100|
|BIRTH RATE||37.9|24.4|16.2|13.1|12.1|11.9|11.7|
|DEATH RATE||6.3|4.2|4.9|7.8|10.8|11.2|11.4|
|NET MIGRATI|ON<br>RATE|-1.0|-. 3|**.O**|.0|.0|.0|.0|
|GROW4TH<br>RATE||3.09|2.05|1.14|.54|.14|.06|.03|
|TOTAL FERTI|LITY|5.050<br>|2.906<br>|2.078<br>|2.067<br>|2.062<br>|2.059<br>|2.058<br>|
|etO)**-** BOTH S|EXES|65.92|72.99|78.48|81.75|83.59|84.99|85.54|
|INR**-** BOTH SE|XES|50.7|22.9|5.7|3.4|2.7|2.2|2.1|
116 COUNTRIES, ECONOMIES, AND TERRITORIES OTHR LATN AM ICA AN CAR BBAN Projection (thousands) with NRR=I by 2000

|AGE GROUP<br>1985<br>1990<br>1995<br>2000<br>2005<br>2010<br>2015<br>2020<br>2025<br>2030|
|---|
|TOTAL<br>M+F<br>194<br>214<br>234<br>253<br>270<br>287<br>302<br>316<br>329<br>341<br>|
|MALES|
|0-4<br>11<br>13<br>13<br>12<br>12<br>13<br>13<br>13<br>13<br>12|
|5-9<br>13<br>11<br>12<br>13<br>12<br>12<br>12<br>13<br>13<br>12<br> <br> <br> <br>|
|10-14<br>11<br>13<br>11<br>13<br>13<br>12<br>12<br>12<br>13<br>13<br> <br> <br> <br> <br> <br>|
|15-19<br>11<br>11<br>33<br>11<br>12<br>13<br>12<br>12<br>12<br>12<br> <br> <br> <br> <br>|
|20-24<br>10<br>11<br>11<br>13<br>11<br>12<br>13<br>12<br>12<br>12<br> <br> <br>|
|25-29<br>8<br>10<br>11<br>11<br>13<br>11<br>12<br>13<br>12<br>12|
|30-34<br>6<br>8<br>10<br>11<br>11<br>13<br>11<br>12<br>12<br>12<br>|
|35-39<br>5<br>6<br>8<br>10<br>11<br>11<br>13<br>11<br>12<br>12|
|40-44<br>5<br>5<br>6<br>8<br>10<br>I1<br>11<br>12<br>11<br>12<br> <br>|
|45-49<br>5<br>5<br>5<br>6<br>8<br>9<br>11<br>11<br>12<br>11|
|50-54<br>3<br>5<br>5<br>5<br>6<br>8<br>9<br>10<br>10<br>12<br>|
|55-59<br>3<br>3<br>4<br>4<br>4<br>6<br>7<br>9<br>10<br>10|
|60-64<br>2<br>3<br>3<br>4<br>4<br>4<br>5<br>7<br>8<br>9<br> <br> <br> <br>|
|65-69<br>2<br>1<br>2<br>2<br>3<br>3<br>3<br>5<br>6<br>7<br> <br> <br> <br>|
|70-74<br>2<br>1<br>1<br>2<br>2<br>3<br>3<br>_3_<br>4<br>5<br> <br> <br> <br>|
|75+<br>2<br>2<br>2<br>2<br>2<br>2<br>3<br>3<br>4<br>4<br> <br> <br> <br>|
|TOTAL<br>98<br>108<br>118<br>127<br>135<br>143<br>151<br>157<br>163<br>168<br>|
|FEMALES<br> <br> <br> <br> <br>|
|0-4<br>11<br>12<br>12<br>12<br>12<br>12<br>12<br>12<br>12<br>12<br> <br> <br>|
|5-9<br>13<br>11<br>12<br>12<br>12<br>12<br>12<br>12<br>12<br>12<br> <br> <br> <br> <br> <br>|
|10-14<br>11<br>13<br>11<br>12<br>12<br>12<br>12<br>12<br>12<br>12<br> <br>|
|15-19<br>11<br>11<br>13<br>11<br>12<br>12<br>12<br>12<br>12<br>12<br> <br> <br> <br> <br> <br> <br> <br>|
|20-24<br>10<br>11<br>11<br>13<br>11<br>12<br>12<br>12<br>12<br>12|
|<br><br>25-29<br>8<br>10<br>11<br>11<br>13<br>11<br>12<br>12<br>12<br>12<br> <br> <br> <br> <br>|
|30-34<br>6<br>8<br>10<br>11<br>11<br>13<br>11<br>12<br>12<br>12<br> <br> <br>|
|35-39<br>5<br>6<br>8<br>10<br>11<br>11<br>13<br>11<br>12<br>12<br> <br> <br> <br> <br> <br>|
|40-44<br>5<br>5<br>6<br>8<br>10<br>11<br>11<br>13<br>11<br>12<br> <br> <br> <br>|
|45-49<br>3<br>5<br>5<br>6<br>8<br>10<br>11<br>11<br>13<br>11<br> <br> <br> <br> <br>|
|50-54<br>3<br>3<br>5<br>5<br>6<br>8<br>9<br>11<br>11<br>12<br>|
|55-59<br>3<br>3<br>3<br>4<br>4<br>6<br>8<br>9<br>11<br>11<br>|
|60-64<br>2<br>3<br>3<br>3<br>4<br>4<br>6<br>7<br>9<br>10<br>|
|65-69<br>2<br>1<br>3<br>3<br>3<br>4<br>4<br>5<br>7<br>8|
|70-74<br>2<br>1<br>1<br>2<br>2<br>2<br>3<br>3<br>5<br>6<br> <br> <br>|
|75+<br>2<br>2<br>2<br>2<br>3<br>3<br>3<br>5<br>5<br>7<br>TOTAL<br>96<br>106<br>116<br>126<br>135<br>144<br> <br> <br> <br>|
|<br> <br> <br> <br> <br> <br> <br>152<br>159<br>166<br>172|
|BIRTH RATE<br>25.2<br>23.3<br>20.5<br>18.9<br>18.0<br>17.2<br>16.3<br>15.5<br>14.9<br>|
|DEATH RATE<br>7.5<br>6.8<br>6.2<br>6.0<br>6.4<br>6.7<br>7.1<br>7.6<br>8.1<br> <br> <br> <br>|
|RATE OF NAT. INC.<br>1.77<br>1.64<br>1.42<br>1.29<br>1.17<br>1.05<br>.92<br>.79<br>.67<br> <br> <br> <br>|
|NET MIGRATION<br>RATE<br>2.0<br>1.4<br>1.0<br>.6<br>.3<br>.0<br>.0<br>.0<br>.0<br> <br> <br> <br> <br> <br> <br>|
|GROWTH<br>RATE<br>1.97<br>1.79<br>1.52<br>1.35<br>1.19<br>1.05<br>.92<br>.79<br>.6?<br> <br> <br>|
|TOTAL FERTILITY<br>3.018<br>2.608<br>2.254<br>2.126<br>2.121<br>2.116<br>2.111<br>2.106<br>2.101|
|NRR<br>1.363<br>1.200<br>1.050<br>1.000<br>1.000<br>1.000<br>1.000<br>1.000<br>1.000<br>|
|e(O)- BOTH SEXES 66.50<br>68.13<br>69.61<br>70.92<br>71.42<br>71.93<br>72.45<br>72.98<br>73.53<br> <br>|
|0(15)- BOTH SEXES 55.84<br>56.58<br>57.37<br>58.19<br>58.57<br>58.96<br>59.36<br>59.78<br>60.20<br> <br> <br> <br> <br>|
|IMR- BOTH SEXES<br>42.8<br>34.8<br>28.1<br>22.8<br>21.4<br>20.0<br>18.6<br>17.2<br>15.8<br> <br> <br> <br> <br> <br>|
|q(5)- BOTH SEXES .0543<br>.0427<br>.0337<br>.0273<br>.0257<br>.0241<br>.0225<br>.0209<br>.0192|
|DEP. RATIO<br>70.4<br>61.9<br>55.2<br>52.1<br>48.6<br>46.1<br>44.6<br>44.7<br>45.9<br>48.1|
COUNTRIES, ECONOMIES, AND TERRITORIES 117 Summary Projection for 25-Year Periods OTH R lATIN AMEDRICA AND CARIBBEFAN

|AGE GROUP<br>1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTALM+F<br>194<br>|<br>253|329|368|<br>378|382|<br>383|<br>384|
|MALES|||||||<br>|
|0-4<br>11|12|13|13|13|13|<br>13<br>|<br>13<br> <br>|
|5-9<br>13|13|13|13|12|12|<br>12|<br>12|
|10-14<br>11|13|13|12|12|12|<br>12|<br>12|
|15-19<br>11|11|12|12|12|12|<br>12|<br>12|
|20-24<br>10|13|12|12|12|12|<br>12|<br>12|
|25-29<br>8|11|12|12|12|12|<br>12|<br>12|
|30-34<br>6|11|12|12|12|12|<br>12|<br>12|
|35-39<br>5|10|12|12|12|12|<br>12|<br>12|
|40-44<br>5|8|11|12|12|12|<br>12|<br>12|
|45-49<br>5|6|12|12|12|12|<br>12|<br>12|
|50-54<br>3|5|10|11|12|12|<br>12|<br>12|
|55-59<br>3|4|10|11|11|11|<br>11|<br>11|
|60-64<br>2|4|8|10|10|10|<br>10|<br>10|
|65-69<br>2|<br>2|<br>6|<br>8|<br>9|<br>9|<br>9|<br>9|
|70-74<br>2|2|4|8|8|8|8|8|
|75+<br>2|<br>2|<br>4|<br>9|<br>11|<br>12|<br>12|<br>12|
|TOTAL<br>98|<br>127|<br>163|<br>180|<br>184|<br>185|<br>185|<br>185|
|FEMALES||||||||
|0-4<br>11|<br>12|<br>12|<br>12|<br>12|<br>12|<br>12|<br>12|
|5-9<br>13|<br>12|<br>12|<br>12|<br>12|<br>12|<br>12|<br>12|
|10-14<br>11|<br>12|<br>12|<br>12|<br>12|<br>12|<br>12|<br>12|
|15-19<br>11|<br>11|<br>12|<br>12|<br>12|<br>12|<br>12|<br>12|
|20-24<br>10|<br>13|<br>12|<br>12|<br>12|<br>12|<br>12|<br>12|
|25-29<br>8|<br>11|<br>12|<br>12|<br>12|<br>12|<br>12|<br>12|
|30-34<br>6|<br>11|<br>12|<br>12|<br>12|<br>12|<br>12|<br>12|
|35-39<br>5|<br>10|<br>12|<br>12|<br>12|<br>12|<br>12|<br>12|
|40-44<br>5|<br>8|<br>11|<br>12|<br>12|<br>12|<br>12|<br>12|
|45-49<br>3|<br>6|13|<br>11|<br>12|<br>12|<br>12|<br>12|
|50-54<br>3|5|11|11|12|12|12|12|
|55-59<br>3|4|11|12|11|11|11|11|
|60-64<br>2|3|9|11|11|11|11|11|
|65-69<br>2|3|7|10|11|11|11|11|
|70-74<br>2|2|5|10|10|10|10|10|
|75+<br>2|<br>2|5|<br>16|<br>21|<br>23|<br>24|<br>24|
|TOTAL<br>96|<br>126|<br>166|<br>188|<br>195|<br>197|<br>198|<br>199|
|BIRTH RATE|22.8|17.1|14.1|13.2|13.0|12.9|12.9|
|DEATH RATE|6.8|6.8|9.7|12.1|12.7|12.8|12.8|
|NETMIGRATION<br>RATE|1.4|.2|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|1.76|1.06|.45|.11|.04|.02|.01|
|TOTAL FERTILITY|2.592|2.116|2.092|2.076|2.074|2.072|2.072|
|e(O)- BOTH SEXES|68.17|71.99|74.71|76.71|77.24|77.61|77.70|
|IMR- BOTH SEXES|35.3|20.0|13.0|8.5|7.6|7.1|6.9|
118 COUNTRIES, ECONOMIES, AND TERRITOR!3S

# OTHER NORTHERN AMERICA

Projection (thousands) with NRR-1 by 2030

|AGE GROWP<br>1985<br>1990<br>1995<br>2000<br>2005<br>2010<br>2015<br>2020<br>2025<br>2030|
|---|
|TOTAL M+F<br>115<br>121<br>126<br>131<br>135<br>138<br>141<br>143<br>144<br>145|
|MALES|
|0-4<br>5<br>5<br>5<br>5<br>5<br>5<br>5<br>5<br>5<br>5<br>|
|5-9<br>4<br>5<br>5<br>5<br>5<br>5<br>5<br>5<br>5<br>5<br>|
|10-14<br>5<br>4<br>5<br>5<br>5<br>5<br>5<br>5<br>5<br>5|
|15-19<br>6<br>5<br>4<br>5<br>5<br>5<br>5<br>5<br>5<br>5|
|<br> <br> <br> <br><br>20-24<br>6<br>6<br>5<br>4<br>5<br>5<br>5<br>5<br>5<br>5<br>|
|25-29<br>6<br>6<br>6<br>5<br>4<br>5<br>5<br>5<br>5<br>5|
|<br> <br><br>30-34<br>5<br>6<br>6<br>6<br>5<br>4<br>5<br>5<br>5<br>5|
|35-39<br>5<br>5<br>6<br>6<br>6<br>5<br>4<br>5<br>5<br>5|
|<br> <br><br>40-44<br>4<br>5<br>5<br>5<br>6<br>6<br>5<br>4<br>5<br>5|
|45-49<br>3<br>4<br>5<br>5<br>5<br>6<br>6<br>5<br>4<br>5|
|50-54<br>3<br>3<br>4<br>5<br>5<br>5<br>5<br>6<br>4<br>4|
|55-59<br>2<br>3<br>3<br>4<br>5<br>5<br>5<br>5<br>5<br>4|
|60-64<br>2<br>2<br>2<br>3<br>3<br>4<br>4<br>5<br>5<br>5<br> <br>|
|65-69<br>1<br>1<br>2<br>2<br>2<br>3<br>4<br>4<br>4<br>4<br> <br> <br>|
|70-74<br>1<br>1<br>1<br>1<br>2<br>2<br>2<br>3<br>3<br>3|
|<br> <br><br>75+<br>1<br>1<br>1<br>1<br>2<br>2<br>2<br>3<br>4<br>4<br> <br> <br>|
|TOTAL<br>59<br>62<br>65<br>67<br>69<br>70<br>71<br>72<br>72<br>72<br>|
|FEMALES<br> <br>|
|0-4<br>4<br>5<br>5<br>5<br>4<br>4<br>5<br>5<br>5<br>5|
|5-9<br>4<br>4<br>5<br>5<br>5<br>4<br>4<br>5<br>5<br>5<br> <br> <br> <br> <br>|
|10-14<br>5<br>4<br>4<br>5<br>5<br>5<br>4<br>4<br>5<br>5|
|<br><br>15-19<br>6<br>5<br>4<br>4<br>5<br>5<br>5<br>4<br>4<br>5<br> <br>|
|20-24<br>6<br>6<br>5<br>4<br>4<br>5<br>5<br>5<br>4<br>4|
|25-29<br>5<br>5<br>6<br>5<br>4<br>4<br>5<br>5<br>5<br>4<br> <br>|
|30-34<br>5<br>5<br>5<br>6<br>5<br>4<br>4<br>5<br>5<br>5<br> <br>|
|35-39<br>4<br>5<br>5<br>5<br>6<br>4<br>4<br>4<br>5<br>5<br> <br> <br>|
|40-44<br>3<br>4<br>5<br>5<br>5<br>5<br>4<br>4<br>4<br>5<br> <br>|
|45-49<br>3<br>3<br>4<br>5<br>5<br>5<br>5<br>4<br>4<br>4<br> <br> <br>|
|50-54<br>3<br>3<br>3<br>4<br>4<br>5<br>5<br>5<br>4<br>4|
|55-59<br>2<br>3<br>3<br>3<br>4<br>4<br>5<br>5<br>5<br>4|
|60-64<br>2<br>2<br>2<br>3<br>3<br>4<br>4<br>5<br>5<br>5|
|65-69<br>1<br>2<br>2<br>2<br>2<br>3<br>3<br>4<br>4<br>5|
|70-74<br>1<br>1<br>1<br>2<br>2<br>2<br>2<br>3<br>3<br>4|
|75+<br>2<br>2<br>2<br>2<br>2<br>3<br>3<br>4<br>5<br>5<br>TOTAL<br> <br> <br> <br> <br> <br> <br> <br> <br> <br>|
|<br>55<br>58<br>61<br>63<br>66<br>67<br>69<br>71<br>72<br>73|
|BIRTH RATE<br>17.8<br>16.5<br>14.8<br>14.0<br>13.5<br>13.6<br>13.6<br>13.3<br>13.1|
|DEATH RATE<br>7.9<br>7.7<br>7.7<br>8.0<br>8.8<br>9.6<br>10.4<br>11.3<br>12.2<br>|
|RATE OF NAT. INC.<br>.99<br>.88<br>.70<br>.60<br>.47<br>.39<br>.31<br>.21<br>.09|
|NET MIGRATION<br>RATE<br>.0<br>.0<br>.0<br>.0<br>.0<br>.0<br>.0<br>.0<br>.0|
|GROWTH<br>RATE<br>.99<br>.88<br>.70<br>.60<br>.47<br>.39<br>.31<br>.21<br>.09|
|TOTAL FERTILITY<br>2.000<br>2.000<br>2.000<br>2.013<br>2.026<br>2.039<br>2.052<br>2.065<br>2.078|
|NRR<br>.943<br>.949<br>.953<br>.961<br>.968<br>.976<br>.983<br>.990<br>.997<br>|
|e(O) - BOTH SEXES 69.71<br>70.96<br>72.08<br>73.12<br>73.45<br>73.79<br>74.14<br>74.50<br>74.87<br> <br>|
|et15) - BOTH SEXES 56.56<br>57.56<br>58.48<br>59.36<br>59.66<br>59.98<br>60.30<br>60.64<br>60.98<br> <br> <br>|
|IMR - BOTH SEXES<br>18.5<br>15.5<br>13.1<br>11.3<br>11.0<br>10.6<br>10.3<br>10.0<br>9.7<br> <br> <br> <br>|
|q(5) - BOTH SEXES .0223<br>.0187<br>.0160<br>.0139<br>0136<br>0132<br>0128<br>0125<br>0121|
|<br> <br> <br>.<br>.<br>.<br>.<br>.<br>DEP. RATIO<br>42.7<br>42.1<br>44.1<br>44.5<br>43.5<br>43.9<br>47.1<br>51.0<br>55.4<br>59.2|
COUNTRIES, ECONOMIES, AND TERRITORIES 119 Sumary Projection for 25-Year Periods

# OTER NORTHERN AMERICA

|AGE**GROUP**<br>1985|2000|2025|2050<br>2075|2100<br>2125|2150|
|---|---|---|---|---|---|
|TOTAL M+F<br>115|131|14.|<br>144<br>14S|146<br>16|146|
|MALES||||||
|0-4<br>5|5|5<br>|5<br>5<br> <br>|5<br>5<br> <br>|<br>5<br>|
|5-9<br>4|5|S|.<br>5<br>5|5<br>5|5|
|10-14<br>5|5|5|5<br>5<br> <br>|<br>5<br>5<br> <br>|5<br>|
|15-19<br>6|5|5|5<br>5|5<br>5|5|
|20-24<br>6|4|5|5<br>5|<br>5<br>5|5|
|25-29<br>6|5|5|5<br>5|5<br>5|5|
|30-34<br>5|6|5|5<br>5|5<br>5|5|
|35-39<br>5|6|5|5<br>5|5<br>5|5|
|40-44<br>4|5|5|4<br>5|<br>5<br>5|5|
|45-49<br>3|5|4|4<br>5|5<br>5|5|
|50-54<br>3|5|4|4<br>4|4<br>4|4|
|55-59<br>2|4|5|4<br>4|4<br>4<br>|4<br>|
|60-64<br>2|3|5|4<br>4|4<br>4<br>|4<br>|
|65-69<br>1|2|4|4<br>3|4<br>4|4<br>|
|70-74<br>1|1|3|3<br>3|3<br>3<br> <br>|3<br>|
|75+<br>1|1|4|5<br>5|5<br>5|5|
|TOTAL<br>59|<br>67|72|71<br>70|70<br>71|71|
|FEMALES||||||
|0-4<br>4|5|5|5<br>5|5<br>5|5|
|5-9<br>4|5|5|5<br>5|5<br>5|5|
|10-14<br>5|5|5|5<br>5|5<br>5|5|
|15-19<br>6|4|4|5<br>5|<br>5<br>5|5|
|20-24<br>6|4|4|5<br>5|5<br>5|5|
|25-29<br>5|5|5|5<br>5|5<br>5|5|
|30-34<br>5|6|5|5<br>5|5<br>5|5|
|35-39<br>4|5|5|4<br>4|5<br>5|5|
|40-44<br>3|5|4|4<br>4|5<br>5|5|
|45-49<br>3|5|4|4<br>4|4<br>4|4|
|50-54<br>3|4|4|4<br>4|4<br>4|4|
|55-59<br>2|3|5|5<br>4|4<br>4|4|
|60-64<br>2|3|5|5<br>4|4<br>4|4|
|65-69<br>1|2|4|4<br>4|4<br>4|4|
|70-74<br>1|2|3|3<br>4|4<br>4|4|
|75+<br>2|2|5|8<br>9|9<br>9|9|
|TOTAL<br>55|63|72|74<br>75|75<br>76|76|
|BIRTH RATE|16.3|13.6|13.0<br>13.0|12.9<br>12.9|12.9|
|DEATH RATE|7.8|9.7|13.0<br>12.8|12.8<br>12.8|12.8|
|NET MIGRATION<br>RATE|.0|.0|.0<br>.0|.0<br>.0|.0|
|GROWTH RATE|.86|.40|-. 00<br>.02|.02<br>.01|.00|
|TOTAL FERTILITY|2.000|2.039|2.080<br>2.075|2.073<br>2.072|2.071|
|e(O)**- BOTH**SEXES|70.95|73.81|75.66<br>77.03|77.41<br>77.67|77.73|
|<br>**IMR-** BOTH SEXES|15.8|10.6|9.1<br>7.9|7.4<br>7.0|6.9|
120 COUNTRIES, ECONOMIES, AND TERRrIORIES PANAMA ProJection (thousands) with NRRn1 by 2000

|AGE GROUP<br>1985<br>1990<br>1995<br>2000<br>2005<br>2010<br>TOTAL<br>M+F<br>2180<br>2418<br>2634<br>2826<br>3012<br>3205|2015<br>3396|2020<br>2025<br>3578<br>3745|<br>2030<br> <br>3897|
|---|---|---|---|
|MALES||||
|0-4<br>144<br>152<br>143<br>133<br>132<br>138|141|141<br>138|<br>136|
|5-9<br>138<br>143<br>151<br>142<br>132<br>132|138|141<br>140|<br>138|
|10-14<br>136<br>137<br>142<br>150<br>141<br>132|131|137<br>141|<br>140|
|15-19<br>125<br>135<br>137<br>141<br>149<br>141|131|131<br>137|141|
|20-24<br>108<br>124<br>134<br>135<br>140<br>148|140|130<br>130|137|
|25-29<br>93<br>107<br>122<br>132<br>134<br>139|147|139<br>130|130|
|30-34<br>75<br>92<br>105<br>121<br>131<br>133|138|146<br>138|<br>129|
|35-39<br>63<br>74<br>91<br>104<br>120<br>130|132|137<br>145|138|
|40-44<br>51<br>62<br>73<br>89<br>103<br>118|129|130<br>136|144|
|45-49<br>41<br>50<br>61<br>71<br>88<br>101|117|127<br>129|134|
|50-54<br>35<br>40<br>48<br>59<br>70<br>86|99|114<br>124|127|
|55-59<br>29<br>33<br>38<br>46<br>57<br>67|83|96<br>111|121|
|60-64<br>24<br>27<br>31<br>35<br>43<br>53|63|79<br>91|106|
|65-69<br>20<br>21<br>24<br>28<br>32<br>40|49|59<br>73|86|
|70-74<br>14<br>16<br>18<br>20<br>24<br>27|34|43<br>52|66|
|75+<br>15<br>17<br>21<br>24<br>28<br>33|40|50<br>64|81|
|TOTAL<br>1112<br>1231<br>1338<br>1432<br>1524<br>1618|1712|1800<br>1881|1953|
|FEMALES||||
|0-4<br>137<br>146<br>137<br>127<br>127<br>132|135|134<br>132|130|
|5-9<br>132<br>136<br>145<br>136<br>127<br>126|132|135<br>134|131|
|10-14<br>131<br>131<br>135<br>144<br>136<br>126<br> <br> <br> <br> <br> <br> <br>|126<br>|131<br>134<br> <br>|134<br>|
|15-19<br>122<br>130<br>131<br>135<br>144<br>136|126|126<br>131|134|
|20-24<br>106<br>121<br>129<br>130<br>134<br>143|135|126<br>125|131|
|25-29<br>88<br>105<br>119<br>128<br>129<br>133|142|134<br>125|125|
|30-34<br>72<br>87<br>104<br>118<br>127<br>128|132|142<br>134|125|
|35-39<br>60<br>71<br>86<br>103<br>117<br>126|127|132<br>141|134|
|40-44<br>49<br>59<br>70<br>85<br>102<br>117|125|126<br>131|141|
|45-49<br>40<br>48<br>58<br>69<br>84<br>101|116|124<br>125|130|
|50-54<br>33<br>39<br>47<br>57<br>68<br>83|99|114<br>123|124|
|55-59<br>28<br>32<br>38<br>46<br>56<br>67|81|98<br>112|121|
|60-64<br>23<br>27<br>30<br>36<br>44<br>54|65|79<br>95|110|
|65-69<br>19<br>21<br>25<br>28<br>34<br>42|52|62<br>76|92|
|70-74<br>13<br>16<br>19<br>22<br>26<br>31|39|48<br>58|72|
|75+<br>16<br>18<br>23<br>28<br>35<br>43<br> <br>|53|67<br>86|109|
|TOTAL<br>1068<br>1187<br>1297<br>1394<br>1489<br>1587|1684|1778<br>1864|1944|
|BIRTH RATE<br>26.6<br>22.7<br>19.5<br>18.1<br>17.6<br>1|7.0<br>1|5.9<br>14.8<br>1|4.0|
|<br>DEATH RATE<br>5.0<br>4.8<br>4.7<br>4.7<br>4.8<br>5|<br> <br>.0<br>5|<br> <br><br>.3<br>5.6<br>|6.0|
|RATE OF NAT. INC. 2.16<br>1.79<br>1.48<br>1.34<br>1.28<br>1|.19<br>1|.06<br>.92|.80|
|NET MIGRATION<br>RATE<br>-.9<br>-.8<br>-.7<br>-.6<br>.4<br>-|.3<br>|-.2<br>-.1|.0|
|GROWTH<br>RATE<br>2.07<br>1.71<br>1.40<br>1.28<br>1.24<br>1|.16<br>1|.04<br>.91|.80|
|TOTAL FERTILITY 3.140<br>2.653<br>2.242<br>2.096<br>2.090<br>2.|085<br>2.|080<br>2.075<br>2|.070|
|NRR<br>1.479<br>1.256<br>1.066<br>1.000<br>1.000<br>1.|000<br>1.|000<br>1.000<br>1|.000|
|e(O) - BOTH SEXES 72.08<br>73.06<br>74.16<br>75.32<br>76.22<br>77.|15<br>78.|13<br>79.15<br>80|.21|
|e(S)- BOTH SEXES 59.40<br>60.05<br>60.86<br>61.77<br>62.49<br>63.|24<br>64.|03<br>64.85<br>65|.72|
|INR - BOTH SEXES<br>23.0<br>19.4<br>16.1<br>13.3<br>11.4<br>9<br> <br> <br> <br>|.6<br>7|.8<br>5.9<br>|4.1|
|q(5)- BOTH SEXES .0275<br>.0233<br>.0195<br>.0162<br>.0141<br>.01|20<br>.00|98<br>0077<br>0|056|
|<br> <br> <br> <br> <br> <br>DEP. RATIO<br>72.3<br>65.4<br>59.4<br>53.4<br>47.7<br>45.5|<br> <br>45.9|<br>.<br>.<br>47.2<br>48.8|50.9|
COUNTRIES, ECONOMIES, AND TERRITORIES 121 Summary Projection for 25-Year Periods PANAM

|AGE GROUP<br>1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTAL M+F<br>2180|<br>2826|<br>3745|<br>4331|<br>4494|<br>4567|<br>4610|<br>4632|
|MALES||||||||
|0-4<br>144|<br>133|<br>138|<br>139|<br>138|<br>138|<br>138|<br>138|
|5-9<br>138|<br>142|<br>140|<br>139|<br>138|<br>138|<br>138|<br>138|
|10-14<br>136|<br>150|<br>141|<br>138|<br>137|<br>138|<br>138|<br>138|
|15-19<br>125|<br>141|<br>137|<br>136|<br>137|<br>138|<br>138|<br>138|
|20-24<br>108|<br>135|<br>130|<br>136|<br>137|<br>138|<br>137|<br>137|
|25-29<br>93|<br>132|<br>130|<br>137|<br>138|<br>137|<br>137|<br>137|
|30-34<br>75|<br>121|<br>138|<br>139|<br>137|<br>137|<br>137|<br>137|
|35-39<br>63|<br>104|<br>145|<br>138|<br>136|<br>136|<br>136|<br>136|
|40-44<br>51|<br>89|<br>136|<br>134|<br>134|<br>135|<br>136|<br>136|
|45-49<br>41|<br>71|<br>129|<br>127|<br>132|<br>134|<br>135|<br>135|
|50-54<br>35|<br>59|<br>124|<br>125|<br>132|<br>134|<br>134|<br>134|
|55-59<br>29|<br>46|<br>111|<br>130|<br>132|<br>132|<br>131|<br>132|
|60-64<br>24|<br>35|<br>91|<br>133|<br>128|<br>128|<br>128|<br>129|
|65-69<br>20|<br>28|<br>73|<br>118|<br>120|<br>121|<br>123|<br>124|
|70-74<br>14|<br>20|<br>52|<br>103|<br>106|<br>113|<br>117|<br>118|
|75+<br>15|<br>24|<br>64|<br>180|<br>236|<br>258|<br>269|<br>275|
|TOTAL<br>1112|<br>1432|<br>1881|<br>2151|<br>2219|<br>2252|<br>2271|<br>2280|
|FEMALES||||||||
|0-4<br>137|<br>127|<br>132|<br>132|<br>132|<br>131|<br>131|<br>131|
|5-9<br>132|<br>136|<br>134|<br>132|<br>131|<br>131|<br>131|<br>131|
|10-14<br>131|<br>144|<br>134|<br>131|<br>131|<br>131|<br>131|<br>131|
|15-19<br>122|<br>135|<br>131|<br>130|<br>131|<br>131|<br>131|<br>131|
|20-24<br>106|<br>130|<br>125|<br>129|<br>131|<br>131|<br>131|<br>131|
|25-29<br>88|<br>128|<br>125|<br>131|<br>132|<br>131|<br>131|<br>131|
|30-34<br>72|<br>118|<br>134|<br>133|<br>132|<br>131|<br>131|<br>131|
|35-39<br>60|103|<br>141|<br>134|<br>131|<br>131|<br>131|<br>131|
|40-44<br>49|85|131|<br>130|<br>129|<br>130|<br>131|<br>131|
|45-49<br>40|69|125|<br>124|<br>128|<br>130|<br>131|<br>131|
|50-54<br>33|57|<br>123|<br>123|<br>129|<br>130|<br>130|<br>130|
|55-59<br>28|46|112|<br>130|<br>131|<br>130|<br>130|<br>130|
|60-64<br>23|36|95|<br>135|<br>130|<br>128|<br>128|<br>129|
|65-69<br>19|28|76|<br>123|<br>125|<br>125|<br>127|<br>128|
|70-74<br>13|22|58|<br>114|<br>116|<br>122|<br>126|<br>127|
|75+<br>16|28|86|<br>248|<br>336|<br>369|<br>387|<br>396|
|TOTAL<br>1068|<br>1394|<br>1864|<br>2180|<br>2274|<br>2315|<br>2339|<br>2351|
|BIRTH RATE|22.7|16.6|13.3|12.2|11.9|11.8|11.7|
|DEATH RATE|4.8|5.1|7.5|10.7|11.3|11.4|11.5|
|NET MIGRATION<br>RATE|-.8|-.3|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|1.73|1.13|.58|.15|.06|.04|.02|
|TOTAL FERTILITY|2.652|2.085|2.067|2.062|2.059|2.058|2.057|
|et0)- BOTH SEXES|73.16|77.30|81.32|83.44|84.62|85.50|85.86|
|BOTH SEXES|19.7|9.6|3.6|2.7|2.3|2.1|2.0|
## 122 COUNTRIES, ECONOMIES, AND TERRTORIES

# PARAGUAY

ProJection (thousmnds) with NRR=1 by 2030

|AGE GROUP<br>1985<br>TOTAL M+F<br>3693|1990<br>1995<br>2000<br>2005<br>4314<br>4989<br>5694<br>6432|2010<br>7215|2015<br>8041|2020<br>2025<br>2030<br>8843<br>9588<br>10256|
|---|---|---|---|---|
|MALES|||||
|0-4<br>296|358<br>398<br>420<br>444|474|504|500<br>481<br>454|
|5-9<br>251|295<br>356<br>396<br>418|442|472|502<br>499<br>480|
|10-14<br>224|251<br>294<br>354<br>395|417|441|471<br>501<br>498|
|15-19<br>204|223<br>250<br>292<br>353|394|416|440<br>470<br>500|
|20-24<br>184|204<br>222<br>248<br>290|350|391|413<br>438<br>468|
|25-29<br>162|184<br>202<br>219<br>245|288|348|388<br>411<br>435|
|30-34<br>144|162<br>182<br>199<br>217|243|285|345<br>386<br>408|
|35-39<br>92|143<br>159<br>179<br>197|215|240|283<br>342<br>383|
|40-44<br>72|91<br>140<br>156<br>176|194|212|237<br>279<br>339|
|45-49<br>61|70<br>88<br>136<br>152|172|190|208<br>233<br>275|
|50-54<br>46|59<br>67<br>85<br>131|147|166|184<br>202<br>227|
|55-59<br>40|43<br>55<br>63<br>79|123|139|158<br>176<br>194|
|60-64<br>33|36<br>39<br>49<br>57|73|114|129<br>148<br>165|
|65-69<br>25|28<br>31<br>33<br>42|50|64|101<br>115<br>133|
|70-74<br>16|19<br>22<br>24<br>26|34|40|53<br>84<br>98|
|75.<br>17|19<br>22<br>25<br>28|32|40|50<br>66<br>100|
|TOTAL<br>1868|2184<br>2525<br>2881<br>3253|3647|4061|4461<br>4830<br>5159|
|FEMALES|||||
|0-4<br>285|344<br>383<br>404<br>426|454|482|478<br>459<br>433|
|5-9<br>242|284<br>343<br>382<br>402|425|453|481<br>477<br>459|
|10-14<br>215|242<br>284<br>342<br>381|402|424|453<br>481<br>477|
|15-19<br>196|215<br>241<br>283<br>341|380|401|424<br>452<br>480|
|20-24<br>177|196<br>214<br>240<br>282|340|379|400<br>423<br>451|
|25-29<br>155|177<br>194<br>212<br>239|280|339|378<br>399<br>422|
|30-34<br>134|154<br>175<br>193<br>211|237|279|337<br>376<br>398|
|35-39<br>88|133<br>153<br>173<br>191|209|236|277<br>335<br>375|
|40-44<br>71|87<br>131<br>150<br>171|189|207|234<br>275<br>334|
|45-49<br>60|70<br>85<br>128<br>148|168|186|205<br>231<br>273|
|50-54<br>49|58<br>67<br>83<br>125|144|165|183<br>201<br>228<br>|
|55-59<br>45|47<br>56<br>65<br>79|120|140|160<br>178<br>197|
|60-64<br>37|42<br>44<br>52<br>61<br> <br>|75<br>|115<br>|134<br>154<br>173<br> <br> <br>|
|65-69<br>28|33<br>37<br>39<br>47|55|69|107<br>126<br>146<br>|
|70-74<br>20|23<br>27<br>31<br>33|40|48|61<br>96<br>115|
|75+<br>23<br> <br>|26<br>30<br>35<br>41<br> <br> <br> <br>|47<br>|57<br>|72<br>93<br>138<br> <br> <br>|
|TOTAL<br>1825|2130<br>2464<br>2812<br>3179|3568|3980|4382<br>4757<br>5098|
|BIRTH RATE<br>36|.4<br>34.8<br>31.8<br>29.4<br>2|7.8<br>2|6.3<br>23|.5<br>20.7<br>18.0|
|DEATH RATE<br>6|.3<br>5.9<br>5.5<br>5.1<br>4|.8<br>4|.6<br>4|.5<br>4.5<br>4.6|
|RATE OF NAT. INC.<br>3.|01<br>2.88<br>2.63<br>2.44<br>2.|30<br>2.|17<br>1.|90<br>1.62<br>1.3S|
|<br> <br>|<br>2<br>1<br>0|0|0|0<br>0<br>0|
|NET MIGRATION<br>RATE<br>|.0<br>.<br>.<br>.|.|.|.<br>.<br>.|
|GROWTH<br>RATE<br>3.|11<br>2.91<br>2.64<br>2.44<br>2.|30<br>2.|17<br>1.|90<br>1.62<br>1.35|
|TOTAL FERTILITY4.8|00<br>4.500<br>4.200<br>3.900<br>3.6|00<br>3.3|00<br>2.8|81<br>2.516<br>2.197|
|NRR<br>2.|187<br>2.071<br>1.952<br>1.829<br>1.6|96<br>1.5|62<br>1.3|70<br>1.202<br>1.054|
|eCO)- BOTH SEXES 66|.87<br>67.56<br>68.56<br>69.77<br>70|.96<br>72|.20<br>73|.52<br>74.90<br>76.36|
|C15)- BOTH SEXES 55|.15<br>55.49<br>56.05<br>56.88<br>57|.84<br>58|.85<br>59|.92<br>61.06<br>62.27|
|IMR- BOTH<br>SEXES<br>33|.5<br>30.2<br>25.7<br>21.3<br>1|8.6<br>1<br>|5.8<br>1<br> <br>|3.1<br>10.4<br>7.7<br> <br> <br>|
|q(5)-BOTH SEXES .0|410<br>.0366<br>.0307<br>.0255<br>.0|224<br>.0|192<br>.0|161<br>.0129<br>.0098|
|<br>DEP. RATIO<br>80.1|<br> <br>80.3<br>80.6<br>77.5<br>71.7|66.2|62.6|60.3<br>56.9<br>52.5|
COUNTRIES, ECONOMIES, AND TERRITORIES 123 Suunary Projection for 25-Year Periods PARAGUAY

|AGE GROUP<br>1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTAL**MIF**<br>3693|5694|<br>9588|<br>12749|<br>14820|<br>15522|<br>15776|<br>15891|
|MALES|||||||<br>|
|0-4<br>296|420|481|<br>483|478|<br>475|<br>474|<br>474|
|5-9<br>251|396|499|<br>486|476|<br>473|<br>474|<br>474|
|10-14<br>224|354|501|<br>478|471|<br>472|<br>474|<br>474|
|15-19<br>204|292|470|456|468|<br>473|<br>474|<br>474|
|20-24<br>184|248|438|451|471|<br>475|<br>474|<br>473|
|25-29<br>162|219|411|475|478|<br>475|<br>472|<br>472|
|30-34<br>144|199|386|491|481|<br>471|<br>469|<br>470|
|35-39<br>92|179|<br>342|491|470|465|<br>467|<br>469|
|40-44<br>72|<br>156|279|457|447|460|<br>466|<br>468|
|45-49<br>61|136|233|422|438|460|<br>466|<br>466|
|50-54<br>46|85|202|390|457|463|<br>462|<br>460|
|55-59<br>40|63|176|<br>357|462|458|<br>452|<br>452|
|60-64<br>33|49|148|<br>303|448|437|<br>436|<br>441|
|65-69<br>25|33|115|<br>231|397|399|<br>417|<br>426|
|70-74<br>16|24|84|172|<br>339|367|<br>395|<br>404|
|75<<br>17|25|66|238|578|838|<br>903|<br>930|
|TOTAL<br>1868|2881|4830|<br>6379|7358|<br>7662|<br>7776|<br>7827|
|FEMALES||||||||
|0-4<br>285|404|459|460|456|453|<br>452|<br>452|
|5-9<br>242|382|477|464|454|451|<br>452|<br>452|
|10-14<br>215|342|481|455|449|450|<br>452|<br>452|
|15-19<br>196|283|452|435|446|451|<br>452|<br>452|
|20-24<br>177|240|423|431|450|454|<br>453|<br>452|
|25-29<br>155|212|399|457|458|455|<br>452|<br>452|
|30-34<br>134|193|376|474|<br>462|452|<br>451|<br>451|
|35-39<br>as|173|335|476|453|447|<br>449|<br>451|
|40-44<br>71|150|275|446|432|443|<br>449|<br>451|
|45-49<br>60|128|231|415|426|446|<br>451|<br>451|
|50-54<br>49|83|201|388|448|453|451|<br>449|
|55-59<br>45|65|178|361|461|453|446|<br>446|
|60-64<br>37|52|154|315|457|441|<br>438|<br>442|
|65-69<br>28|39|126|250|420|415|431|<br>439|
|70-74<br>20|31|96|198|377|400|427|<br>435|
|75<br>23|35|93|342|813|1195|<br>1293|<br>1337|
|TOTAL<br>1825|2812|4757|6370|7461|7860|<br>8000|<br>8064|
|BIRTH RATE|34.1|25.1|16.6|13.4|12.2|11.9|11.7|
|DEATH RATE|5.9|4.7|5.3|7.4|10.4|11.2|11.4|
|NET MIGRATION<br>RATE|.4|.0|.0|.0|.0|.0|.0|
|GROUTH<br>RATE|2.89|2.08|1.14|.60|.19|.06|.03|
|TOTAL FERTILITY|4.459|3.154|2.098|2.066|2.062|2.059|2.058|
|eCO)**-** BOTH SEXES|67.74|72.54|78.19|81.62|83.51|84.95|85.52|
|**IHR-** BOTH SEXES|29.6|15.7|6.1|3.4|2.7|2.2|2.1|
124 COUNTRIES, ECONOMIES, AND TERRITORIES PERU

|PERU||||Pro|jection (t|housands)|withNR|R=1 by2010|
|---|---|---|---|---|---|---|---|---|
|AGE GRWJP|1985<br>l199<br>1995|2000|2005|2010|2015|2020|202|5<br>2030|
|TOTALNF|19383<br>21663<br>24126|26526|28774|30770|32728|34726|3667|5<br>38483|
|MALES|||||||||
|0-4|1387<br>1496<br>1602|l581|1516|1421|1441|1510|153|7<br>1522|
|5-9|1300<br>1360<br>1474|1585|1568|1505|1413|1434|150|4<br>1532|
|10-14|1184<br>1291<br>1352|147|1579|1563|1501|1410|143|1<br>1501|
|15-19|1060<br>1174<br>1282|1344|1460|1572|<br>1556|1495|140|5<br>1427|
|20-24|930<br>1045<br>1160|1269|1333|1449|1561|1547|148|7<br>1398|
|25-29|770<br>914<br>1030|1145|1257|1321|<br>1438|1550|<br>153|7<br>1478|
|30-34|639<br>756<br>900|1016|1134|1245|1311|1427|154|0<br>1528|
|35-39|517<br>626<br>743|886|1004|1122|1233|1299|141|6<br>1529|
|40-44|426<br>504<br>612|n9|873|99|1107|1218|128|5<br>1402|
|45-49|366<br>411<br>488|595|712|853|970|1086|119|7<br>1264|
|50-54|307<br>348<br>392|467|572|686|825|940|105|5<br>1166|
|55-59|242<br>284<br>323|366|439|540|650|784|897|<br>1010|
|60-64|184<br>215<br>254|291|332|400|495|599|727|<br>836|
|65-69|136<br>154<br>182|217|251|289|350|437|533|<br>651|
|70-74|97<br>103<br>119|142|172|201|234|287|362|<br>445|
|75+|86<br>100<br>112|129|**15**|195|238|287|356|<br>455|
|TOTAL|9632<br>10781<br>12022|13229|14356|15352|16323|17311|1826|8<br>19145|
|FEHALES|||||||||
|0-4|1375<br>1447<br>1547|1524|1459|1366|1383|1446|1471|<br>1454|
|5-9|1293<br>1351<br>1429|1533|1514|1451|<br>1360|1378|1443|<br>1468|
|10-14|1178<br>1285<br>1345|1424|1529|1511|<br>1448|1358|1376|<br>1441|
|15-19|1057<br>1169<br>1278|1339|1420|1525|1507|1445|1356|<br>1374|
|20-24|929<br>1046<br>1159|1269|1333|1414|1520|1503|1442|<br>1353|
|25-29|772<br>916<br>1033|1148|1261|1326|1408|1514|1498|<br>1438|
|30-34|643<br>760<br>903|1023|1140|1253|<br>1319|1402|1509|<br>1494|
|35-39|523<br>632<br>748|893|1014|1131|1245|1311|1394|<br>1502|
|40-44|433<br>512<br>620|737|882|1003|1120|1234|1301|<br>1386|
|45-49|376<br>422<br>500|608|724|869|989|1106|1220|<br>1288|
|50-54|321<br>363<br>408|486|593|708|850|970|1087|<br>1201|
|55-59|259<br>304<br>346|391|468|572|686|826|945|<br>1061|
|60-64|203<br>239<br>282|323|368|443|544|655|792|<br>910|
|65-69|157<br>178<br>211|252|292|335|406|504|611|<br>745|
|70-74|116<br>125<br>44|173|211|248|289|355|447|<br>549|
|75+<br>|116<br>133<br>150<br> <br> <br>|174<br>|210<br>|265<br>|331<br>|408<br>|517<br>|<br>672<br> <br>|
|TOTAL|9751<br>10882<br>12104|13296|14417|15419|16405|17415|18408|<br>19338|
|BIRTH RATE|<br>31.3<br>29.6<br>2|6.1<br>2|2.6<br>1|9.5<br>|L8.4<br>|8.0<br>1|72|160|
|<br>DEATH RATE|<br> <br> <br> <br> <br>8.9<br>7.9<br>|<br> <br>7.0<br>|<br> <br>6.3<br>|<br> <br>6.1|<br> <br>6.1|<br> <br>6.2|.<br>6.3|.<br>6.4|
|RATE OFMAT|. INC.<br>2.24<br>2.17<br>1|.91<br>1|.64<br>1|.35<br>1|.23<br>1|.19<br>1|.09|.96|
|NET MIGRATI|ON<br>RATE<br>-2<br>-2<br>|-1<br>|-1<br>|-0|0|0|0|0|
|<br>GROUTH<br>RATE|<br> <br>.<br>.<br> <br> <br>2.22<br>2.15<br>1|.<br> <br>.90<br>1|.<br> <br>.63<br>1.|.<br>34<br>1|.<br>.23<br>1|.<br>.19<br>1|.<br>.09|.<br>.96|
|TOTAL FERTI|LITY4.055<br>3.582<br>3.0|83<br>2.6|53<br>2.|284<br>2.|150<br>2.|130<br>2.|111|2.091|
|NRR|1.728<br>1.569<br>1.|381<br>1.|211<br>1.0|52<br>1|.000<br>1|.000<br>1.|000|1.000|
|etO)- BOTH|SEXES 61.41<br>63.58<br>65|.76<br>67|.87<br>69.|18<br>70|.55<br>71|.97<br>73|.46|75.01|
|<br>e(IS)- BOT|H SEXES53.52<br>54.56<br>55|.73<br>57|.02<br>57.|77<br>58|.56<br>59|.40<br>60|.28|61.20|
|INR- BOTH S|EXES<br>76.0<br>64.8<br>5|4.1<br>44|.6<br>3|7.8<br>3|1.0<br>2|4.2<br>1|7.4|10.6|
|**tS)**-BOTH|SEXES0950<br>O78<br>0|45<br>05|28<br>0|49<br>0|370<br>0|291<br>0|211|0132|
|**q** <br>DEP. RATIO|.<br>.<br>.<br> <br>76.9<br>71.4<br>66.9|<br>.<br>62.5|<br>.<br>57.1|<br>.<br>50.7|<br>.<br>46.5|<br>.<br>45.2|<br>46.2|.<br>47.7|
COUNTIRIES, ECONOMIES, AND TERRrFORIES 125 PERU Sumary Projeotfan for 25-Year Periods

|AGEGROUP<br>1985|2000|2025|2050|2075|2100|2125|2150|
|---|---|---|---|---|---|---|---|
|TOTAL*+F<br>19383|26526|36675|44006|47399|487M|49642|50072|
|MALES||||||||
|0-4<br>1387|1561|1537|1505|1497|<br>1497|<br>1498|<br>1498|
|5-9<br>1300|1565|<br>1504|<br>1486|<br>1492|<br>1496|<br>1497|<br>1497|
|10-14<br>1184|<br>1467|<br>1431|<br>1475|<br>1495|<br>1498|<br>1498|<br>1497|
|15-19<br>1060|<br>1344|<br>1405|<br>1485|<br>1502|<br>1499|<br>1497|<br>1496|
|20-24<br>930|<br>1269|<br>1487|<br>1508|<br>1503|<br>1495|<br>1492|<br>1493|
|25-29<br>_770_|1145|<br>1537|<br>1513|<br>1490|<br>1486|<br>1487|<br>1489|
|30-34<br>639|<br>1016|<br>1540|<br>1476|<br>1467|<br>1477|<br>1483|<br>1485|
|35-39<br>517|<br>886|<br>1416|<br>1398|<br>1450|<br>1474|<br>1481|<br>1482|
|40-44<br>426|<br>729|<br>1285|<br>1364|<br>1452|<br>1475|<br>1477|<br>1476|
|45-49<br>366|<br>595|1197|1432|1465|1468|1466|<br>1465|
|50-54<br>307|<br>467|<br>1055|<br>1456|<br>1452|<br>1442|<br>1444|<br>1449|
|55-59<br>242|<br>366|<br>897|<br>1416|<br>1387|<br>1396|<br>1415|<br>1426|
|60-64<br>184|<br>291|<br>727|<br>1242|<br>1270|<br>1343|<br>1382|<br>1396|
|65-69<br>136|217|533|<br>1043|<br>1174|<br>1291|<br>1335|<br>1348|
|70-74<br>97|142|362|857|1130|1218|1257|1270|
|75+<br>86|129|356|1146|2186|2523|2 m|2901|
|TOTAL<br>9632|13229|18268|21801|23412|24079|24480|24667|
|FEMALES||||||||
|0-4<br>1375|1524|1471|1435|1427|1427|1428|1428|
|5-9<br>1293|1533|1443|1418|1422|1426|1428|1427|
|10-14<br>1178|1424|1376|1408|1425|1429|1428|1427|
|15-19<br>1057|1339|1356|1421|1432|1430|1428|1427|
|20-24<br>929|1269|1442|1447|1436|1428|1426|1426|
|25-29<br>772|1148|1498|1460|1429|1423|1424|1425|
|30-34<br>643|1023|1509|1431|1411|1418|1423|1425|
|35-39<br>523|893|1394|1362|1399|1418|1424|1425|
|40-44<br>433|737|1301|1336|1407|1423|1424|1423|
|45-49<br>376|<br>608|<br>1220|1413|1428|1424|1419|1419|
|50-54<br>321|<br>486|<br>1087|<br>1453|<br>1431|<br>1410|<br>1410|<br>1413|
|55-59<br>259|<br>391|<br>945|<br>1441|<br>1389|<br>1383|<br>1398|<br>1408|
|60-64<br>203|<br>323|<br>792|<br>1299|<br>1302|<br>1358|<br>1389|<br>1401|
|65-69<br>157|<br>252|<br>611|<br>1166|<br>1248|<br>1346|<br>1380|<br>1390|
|70-74<br>116|173|447|1022|1267|<br>1333|<br>1358|<br>1367|
|75+<br>116|174|517|1692|3133|3618|3975|4174|
|TOTAL<br>9751|<br>13296|<br>18408|<br>22205|<br>23987|<br>24694|<br>25162|<br>25405|
|BIRTH RATE|28.8|19.0|14.5|12.8|12.2|11.9|11.8|
|DEATH RATE|7.8|6.2|7.3|9.8|11.1|11.2|11.4|
|NET MIGRATION<br>RATE|-. 2|-. 0|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|2.09|1.30|.73|.30|.11|.07|.03|
|TOTAL FERTILITY|3.523|2.251|2.083|2.068|2.063|2.059|2.058|
|eCO)- BOTH SEXES|63.73|70.78|77.00|80.89|83.07|84.73|85.38|
|<br>INR- BOTH SEXES|64.9|31.0|8.1|3.8|2.9|2.3|2.1|
126 COUNTRIES, ECONOMIES, AND TERRITORIES

# PU RTO RICO

|PU RTORICO||Pro|Jection (th|ouands) with NRRu1 by 1995|
|---|---|---|---|---|
|AGE GROUP<br>1985|1990<br>1S95|2000<br>2005<br>2010|2015|2020<br>2025<br>2030|
|TOTALM+F<br>3377<br>|3530<br>3650|3761<br>3859<br>3937|4001|4072<br>4151<br>4238|
|MALES<br>|||||
|0-4<br>148<br> <br>|167<br>155<br> <br>|151<br>146<br>140<br> <br> <br>|137<br>|136<br>136<br>136|
|5-9<br>165<br> <br>|146<br>164<br> <br>|152<br>148<br>143<br>|138|135<br>135<br>136|
|10-14<br>177|163<br>143|161<br>150<br>146|141|136<br>134<br>135|
|15-19<br>182|175<br>160|141<br>159<br>148|143|139<br>135<br>134|
|20-24<br>141|179<br>171|156<br>137<br>lSS|144|141<br>138<br>135|
|25-29<br>109<br> <br>|137<br>174<br>|166<br>152<br>133|151|141<br>139<br>137|
|30-34<br>93|105<br>133|170<br>162<br>148|129|148<br>139<br>138|
|35-39<br>100|91<br>102|130<br>166<br>159|144|126<br>146<br>138|
|40-44<br>93|98<br>88|99<br>127<br>163|156|142<br>125<br>145|
|45-49<br>79|91<br>95|85<br>97<br>124|160|153<br>140<br>124|
|50-54<br>73|76<br>88|92<br>83<br>94|121|1S7<br>150<br>138|
|55-59<br>65<br> <br>|70<br>73<br> <br>|84<br>89<br>80|91|117<br>152<br>146|
|60-64<br>61|60<br>65|68<br>79<br>84|76|87<br>112<br>147|
|65-69<br>5S|54<br>54|59<br>62<br>73|78|71<br>81<br>106|
|70-74<br>45|45<br>45|46<br>51<br>54|64|69<br>64<br>74|
|75+<br>62<br> <br>|62<br>65<br>|69<br>73<br>80|88|103<br>118<br>123|
|TOTAL<br>1648<br>|1719<br>1776|1830<br>1881<br>1923|1961|2001<br>2045<br>2093|
|FEMALES<br>|||||
|0-4<br>136|159<br>148|144<br>139<br>134|131|130<br>129<br>130|
|5-9<br>155<br> <br>|134<br>156|145<br>141<br>136|131|129<br>129<br>129|
|10-14<br>161<br>|154<br>131|154<br>143<br>139|134|130<br>128<br>129|
|15-19<br>170<br> <br>|158<br>151<br>|129<br>151<br>140|136|132<br>129<br>128|
|20-24<br>149<br> <br>|165<br>153<br>|145<br>123<br>145|135|132<br>130<br>129|
|25-29<br>120|144<br>159|146<br>138<br>116|139|130<br>130<br>130|
|30-34<br>112|116<br>139|154<br>141<br>133|111|135<br>128<br>130|
|35-39<br>119|110<br>112|135<br>150<br>137|130|109<br>134<br>128|
|40-44<br>105<br> <br>|117<br>107<br> <br>|110<br>133<br>147<br> <br>|135|128<br>108<br>134|
|45-49<br>92|104<br>115|106<br>108<br>131|146|134<br>127<br>108|
|50-54<br>84|90<br>102|113<br>104<br>107||<br> <br>|
|<br>|<br>|<br> <br>|130|144<br>133<br>126|
|55-59<br>75|82<br>89|100<br>112<br>103|105|128<br>143<br>131|
|60-64<br>74<br>|72<br>80|87<br>98<br>109|101|104<br>127<br>141|
|65-69<br>61<br> <br>|70<br>69<br> <br>|77<br>84<br>96<br> <br>|107|99<br>102<br>124|
|70-74<br>47|56<br>65|65<br>73<br>80|92|103<br>95<br>99|
|75+<br>70|81<br>99|122<br>140<br>158|179|204<br>234<br>249|
|TOTAL<br>1729|1811<br>1874|1931<br>1979<br>|<br>|<br> <br><br> <br> <br>|
|<br>|<br>|<br> <br>2014|2041|2071<br>2106<br>2145|
|BIRTH RATE<br>19|.3<br>17.3<br>16|.3<br>15.3<br>14.4<br>1|3.8<br>13|.3<br>13.0<br>12.7|
|DEATH RATE<br>7<br> <br>|.9<br>7.4<br>7<br> <br> <br>|.2<br>7.1<br>7.4<br>7<br>|.6<br>7|.9<br>8.2<br>8.6|
|RATE OF MAT. INC.<br>1.<br> <br>|14<br>.99<br>.9<br> <br> <br>|1<br>.82<br>.70<br>.<br> <br> <br> <br>|62<br>.<br> <br>|54<br>.48<br>.41<br>|
|NET MIGRATION<br>RATE -2.|5<br>-3.2<br>-3.|1<br>-3.0<br>-3.0<br>-2|.9<br>-1|.9<br>-. 9<br>.0|
|GROWTH<br>RATE<br>.|89<br>.67<br>.6|0<br>.51<br>.40<br>.|32<br>.|35<br>.38<br>.41|
|TOTAL FERTILITY 2.4|00<br>2.171<br>2.0|85<br>2.080<br>2.077<br>2.0|73<br>2.0|70<br>2.066<br>2.063|
|NRR<br>1.1|44<br>1.038<br>1.0|00<br>1.000<br>1.000<br>1.0|00<br>1.0|00<br>1.000<br>1.000|
|oCO)<br>- BOTH SEXES 74.|87<br>76.27<br>77.|51<br>78.70<br>79.37<br>80.|06<br>80.|76<br>81.49<br>82.25|
|*C15)- BOTH SEXES 61.|38<br>62.58<br>63.|64<br>64.68<br>65.24<br>65.|81<br>66.|40<br>67.01<br>67.64|
|IMR- BOTH SEXES<br>14<br>|.2<br>11.9<br>10<br> <br> <br>|.0<br>8.3<br>7.3<br>6<br> <br>|.3<br>5|.2<br>4.2<br>3.1|
|qt5)- BOTH SEXES .01<br>DEP. RATIO<br>61.1|73<br>.0147<br>.01<br>57.6<br>55.0|25<br>.0105<br>.0093<br>.00<br>55.7<br>53.8<br>54.0|81<br>.00<br>55.0|69<br>.0057<br>.0064<br>54.9<br>55.7<br>58.8|
COUNTRIES, ECONOMIES, AND TERRITORIES 127 Summary Projection for 25-Year Periods PUERTO RICO

|AGE GROUP<br>1985|2000|2025|2050|2075|2100|2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTALM+F<br>3377|3761|4151|4449|4488|4522|4550|4565|
|MALES||||||||
|0-4<br>148|151|136|135|135|135|135|<br>135|
|5-9<br>165|152|135|135|135|135|135|<br>135|
|10-14<br>177<br> <br>|161<br>|134<br>|135|135|135|135|<br>135|
|15-19<br>182|141|135|135|135|135|135|<br>135|
|20-24<br>141|156|138|135|135|135|135|<br>135|
|25-29<br>109|166|139|135|134|135|135|<br>135|
|30-34<br>93|170|139|133|134|134|134|<br>134|
|35-39<br>100|130|146|133|133|134|134|<br>134|
|40-44<br>93|99|125|133|133|133|134|<br>134|
|45-49<br>79|85|140|134|133|133|133|<br>133|
|50-54<br>73|92|150|134|131|131|131|<br>131|
|55-59<br>65|84|152|132|127|128|129|<br>130|
|60-64<br>61<br> <br>|68<br>|112|134|123|125|126|127|
|65-69<br>55<br> <br>|59|81|110|119|121|122|123|
|70-74<br>45|46|64|115|113|114|115|116|
|75.<br>62|69|118|238|252|256|266|272|
|TOTAL<br>1648|1830|2045|2206|2209|2221|2236|2245|
|FEMALES||||||||
|0-4<br>136|144|129|129|129|129|129|129|
|5-9<br>155|145|129|129|129|129|129|129|
|10-14<br>161|154|128|129|129|129|129|129|
|15-19<br>170|129|129|129|129|129|129|129|
|20-24<br>149|145|130|130|129|129|129|129|
|25-29<br>120|146|130|129|129|129|129|129|
|30-34<br>112|154|128|128|129|129|129|129|
|35-39<br>119|135|134|128|129|129|129|129|
|40-44<br>105|110|108|128|129|129|129|129|
|45-49<br>92|106|127|129|129|129|129|129|
|50-54<br>84<br>|113|133|128|128|128|128|128|
|55-59<br>75|100|143|126|127|127|128|128|
|60-64<br>74|87|127|130|125|127|127|127|
|65-69<br>61|77|102|104|124|126|126|126|
|70-74<br>47|65|95|120|124|124|125|125|
|75+<br>70|122|234|347|362|379|390|396|
|TOTAL<br>1729|1931|2106|2243|2279|2301|2314|2321|
|BIRTH RATE|17.6|13.9|12.3|11.9|11.8|11.7|11.6|
|DEATH RATE|7.5|7.7|9.5|11.5|11.5|11.4|11.5|
|NET MIGRATION<br>RATE|-3.0|-2.3|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|.72|.39|.28|.03|.03|.03|.01|
|TOTAL FERTILITY|2.222|2.073|2.061|2.059|2.058|2.057|2.057|
|eCO)<br>**-** BOTH SEXES|76.25|80.10|83.00|84.44|85.23|85.82|86.06|
|INR**-** BOTH SEXES|12.1|6.3|2.9|2.4|2.1|2.0|1.9|
# 128 COUNTRIES, ECONOMIES, AND TERRrIORIES

ST. IKlTr S AN _NE_ S Projection (thousands) with NRR=1 by 2000

|AGE GROUP<br>1985<br>1990<br>1°99<br>2000<br>2005<br>2010<br>2015<br>2020<br>2025<br>2030|
|---|
|TOTALM+F<br>43<br>40<br>37<br>35<br>34<br>34<br>3S<br>37<br>39<br>41<br>|
|MALES<br> <br>|
|0-4<br>3<br>2<br>2<br>2<br>2<br>2<br>1<br>1<br>2|
|59<br>3<br>2<br>2<br>2<br>2<br>2<br>2<br>1<br>1<br>1|
|10-14<br>3<br>2<br>2<br>2<br>2<br>2<br>2<br>2<br>1<br>1|
|15-19<br>3<br>3<br>2<br>2<br>2<br>2<br>2<br>2<br>2<br>1<br> <br> <br> <br> <br>|
|20-24<br>2<br>2<br>2<br>2<br>2<br>2<br>1<br>2<br>2<br>2|
|25-29<br>1<br>2<br>2<br>2<br>2<br>2<br>1<br>1<br>2<br>2<br>|
|30-34<br>1<br>1<br>1<br>2<br>2<br>2<br>2<br>1<br>1<br>2|
|35-39<br>1<br>0<br>1<br>1<br>1<br>1<br>1<br>2<br>1<br>1|
|40-44<br>1<br>0<br>0<br>0<br>1<br>1<br>1<br>1<br>2<br>1|
|45-49<br>1<br>0<br>0<br>0<br>0<br>1<br>1<br>1<br>1<br>2|
|50-54<br>1<br>0<br>0<br>0<br>0<br>0<br>1<br>1<br>1<br>1|
|55-59<br>1<br>1<br>0<br>0<br>0<br>0<br>0<br>1<br>1<br>1|
|60-64<br>1<br>1<br>0<br>0<br>0<br>0<br>0<br>0<br>1<br>1|
|65-69<br>1<br>1<br>0<br>0<br>0<br>0<br>0<br>0<br>0<br>1|
|70-74<br>0<br>1<br>1<br>0<br>0<br>0<br>0<br>0<br>0<br>0<br>|
|75+<br>0<br>1<br>1<br>1<br>1<br>1<br>0<br>0<br>0<br>0<br> <br> <br> <br> <br>|
|TOTAL<br>20<br>19<br>17<br>16<br>16<br>16<br>17<br>18<br>19<br>20<br>|
|FEMALES<br> <br> <br>|
|0-4<br>3<br>2<br>2<br>2<br>2<br>2<br>1<br>1<br>1<br>1<br>|
|5-9<br>3<br>2<br>2<br>2<br>2<br>2<br>1<br>1<br>1<br>1|
|10-14<br>3<br>2<br>2<br>2<br>2<br>1<br>1<br>1<br>1<br>1|
|15-19<br>3<br>2<br>2<br>2<br>2<br>1<br>1<br>1<br>1<br>1|
|20-24<br>2<br>2<br>2<br>2<br>2<br>1<br>1<br>1<br>1<br>1|
|25-29<br>1<br>2<br>2<br>2<br>2<br>2<br>1<br>1<br>1<br>1<br> <br> <br> <br> <br> <br> <br> <br> <br> <br>|
|30-34<br>1<br>1<br>2<br>2<br>2<br>2<br>1<br>1<br>1<br>1|
|35-39<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>1|
|0-44<br>1<br>1<br>0<br>1<br>1<br>1<br>1<br>1<br>1<br>1|
|45-49<br>1<br>1<br>0<br>0<br>1<br>1<br>1<br>1<br>1<br>1|
|50-54<br>1<br>1<br>1<br>0<br>0<br>1<br>1<br>1<br>1<br>1|
|55-59<br>1<br>1<br>1<br>1<br>0<br>0<br>1<br>1<br>1<br>1<br>|
|60-64<br>1<br>1<br>1<br>1<br>0<br>0<br>0<br>1<br>1<br>1|
|65-69<br>1<br>1<br>1<br>1<br>1<br>0<br>0<br>0<br>1<br>1|
|70-74<br>1<br>1<br>1<br>1<br>1<br>1<br>0<br>0<br>0<br>1|
|7n5<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br>|
|TOTAL<br>22<br>21<br>20<br>19<br>18<br>18<br>18<br>19<br>20<br>21|
|BIRTH RATE<br>23.6<br>22.2<br>21.4<br>20.3<br>19.1<br>17.5<br>16.3<br>15.6<br>14.9|
|DEATHRATE<br>10.4<br>9.7<br>9.2<br>8.5<br>7.7<br>7.0<br>6.2<br>5.4<br>4.9|
|RATE OF NAT. INC.<br>1.32<br>1.25<br>1.22<br>1.19<br>1.13<br>1.04<br>1.01<br>1.02<br>1.00<br>|
|NET MIGRATION<br>RATE -29.2<br>-26.2<br>-22.2<br>-17.3<br>-11.7<br>-5.8<br>.0<br>.0<br>.0|
|GROWTH<br>RATE<br>-1.60<br>-1.37<br>-1.00<br>-. 55<br>-. 04<br>46<br>1.01<br>1.02<br>1.00|
|TOTAL FERTILITY 2.800<br>2.494<br>2.221<br>2.120<br>2.110<br>2.100<br>2.090<br>2.080<br>2.070|
|NRR<br>1.287<br>1.158<br>1.040<br>1.000<br>1.000<br>1.000<br>1.000<br>1.000<br>1.000<br>|
|e(O)<br>- BOTH SEXES 68.49<br>70.43<br>72.27<br>74.00<br>74.99<br>76.01<br>77.06<br>78.15<br>79.28<br> <br> <br> <br>|
|e15)- BOTH SEXES 57.25<br>58.71<br>60.06<br>61.37<br>62.02<br>62.69<br>63.38<br>64.10<br>64.85<br> <br>|
|INR- BOTH SEXES<br>40.0<br>34.0<br>28.1<br>22.9<br>19.2<br>15.6<br>11.9<br>8.3<br>4.6<br>|
|qt5) - BOTH SEXES .0474<br>.0404<br>.0336<br>.0277<br>.0234<br>.0191<br>.0148<br>0106<br>0063|
|<br> <br> <br> <br> <br>.<br>.<br>DEP. RATIO<br>88.2<br>83.1<br>75.2<br>68.2<br>63.2<br>57.2<br>49.6<br>42.9<br>40.5<br>43.7|
COUNTRIES, ECONOMIES, AND TERRITORIES 129 Suamary Projection for 25-Year Periods ST. **KIITS AND NEVIS**

|AGE GROUWP<br>1985|<br>2000|2025|2050|<br>2075|2100|2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTAL<br>M4F<br>43<br>|35|39|46|49|49|50|<br>50|
|MALES||||||||
|0-4<br>3|2|1|1|<br>1|1|1|<br>1|
|5-9<br>3|2|1|1|<br>1|1|1|<br>1|
|10-14<br>3|2|1|2|2|1|1|<br>1|
|15-19<br>3|2|2|2|1|1|1|<br>1|
|20-24<br>2|2|2|1|<br>1|1|1|<br>1|
|25-29<br>1|2|2|1|<br>1|1|1|<br>1|
|30-34<br>1|2|1|1|1|1|1|<br>1|
|35-39<br>1|1|1|1|1|1|1|<br>1|
|40-44<br>1|0|2|1|1|1|1|<br>1|
|45-49<br>1|0|1|1|1|1|1|<br>1|
|50-54<br>1|<br>0|1|1|1|1|1|<br>1|
|55-59<br>1|0|1|1|1|1|1|<br>1|
|60-64<br>1|0|1|1|1|1|1|<br>1|
|65-69<br>1|0|0|1|1|1|1|<br>1|
|70-74<br>0|0|0|1|1|1|1|1|
|75+<br>0|1|0|2|2|3|3|3|
|TOTAL<br>20|16|19|23|24|24|25|25|
|FEMALES||||||||
|0-4<br>3|2|1|1|1|1|1|1|
|5-9<br>3|2|<br>1|1|1|1|1|1|
|10-14<br>3|2|1|1|1|1|1|1|
|15-19<br>3|2|1|1|1|1|1|1|
|20-24<br>2|2|<br>1|1|1|1|1|1|
|25-29<br>1|2|<br>1|1|1|1|1|1|
|30-34<br>1|2|1|1|1|1|1|1|
|35-39<br>1|1|1|1|1|1|1|1|
|40-44<br>1|1|1|1|1|1|1|1|
|45-49<br>1|0|1|1|<br>1|<br>1|1|1|
|50-54<br>1|0|1|1|<br>1|1|1|1|
|55-59<br>1|1|1|1|1|1|1|1|
|60-64<br>1|1|1|1|1|1|1|1|
|65-69<br>1|1|1|1|1|1|1|1|
|70-74<br>1|1|0|1|<br>1|1|1|1|
|75+<br>1|1|1|3|4|4|4|4|
|TOTAL<br>22|19|20|24|25|25|25|26|
|BIRTH RATE|22.4|17.7|13.7|12.3|12.0|11.8|11.7|
|DEATH RATE|9.8|6.9|6.5|10.5|11.3|11.3|11.5|
|NET MIGRATION<br>RATE|-26.0|-6.8|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|-1.32|.38|.74|.18|.07|.05|.02|
|TOTAL FERTILITY|2.516|2.101|2.067|2.062|2.060|2.058|2.057|
|e(O)- BOTH SEXES|70.31|76.09|80.57|83.01|84.37|85.38|85.78|
|IMR**-** BOTH SEXES|34.5|15.9|4.0|2.8|2.4|2.1|2.0|
## 130 COUNTRIES, ECONOMIES, AND TERRITORIES

# ST. LUCIA

ProJection (thousands) with NRRuI by 2005

|AGE GROUP<br>1985<br>1990<br>1995<br>2000<br>2005<br>2010<br>2015<br>2020<br>2025<br>2030|
|---|
|TOTAL<br>N+F<br>137<br>150<br>162<br>176<br>190<br>202<br>215<br>228<br>241<br>254|
|MALES|
|0-4<br>10<br>10<br>10<br>10<br>10<br>9<br>9<br>9<br>10<br>10|
|5-9<br>11<br>10<br>10<br>10<br>10<br>10<br>9<br>9<br>9<br>10|
|10-14<br>11<br>11<br>10<br>10<br>10<br>10<br>10<br>9<br>9<br>9|
|15-19<br>8<br>11<br>11<br>10<br>10<br>10<br>10<br>10<br>9<br>9|
|20-24<br>5<br>8<br>11<br>11<br>10<br>9<br>9<br>10<br>10<br>9|
|25-29<br>3<br>5<br>8<br>10<br>10<br>9<br>9<br>9<br>10<br>10|
|30-34<br>2<br>3<br>5<br>7<br>10<br>10<br>9<br>9<br>9<br>10|
|35-39<br>2<br>2<br>3<br>4<br>7<br>10<br>10<br>9<br>9<br>9|
|40-44<br>2<br>2<br>2<br>2<br>4<br>7<br>10<br>10<br>9<br>9|
|45-49<br>2<br>2<br>2<br>2<br>2<br>4<br>7<br>10<br>10<br>9|
|50-54<br>2<br>2<br>2<br>2<br>2<br>2<br>4<br>7<br>10<br>10|
|55-59<br>2<br>2<br>2<br>2<br>2<br>1<br>2<br>4<br>7<br>9|
|60-64<br>1<br>2<br>2<br>2<br>2<br>2<br>1<br>2<br>4<br>6|
|65-69<br>1<br>1<br>2<br>2<br>1<br>1<br>1<br>1<br>2<br>3|
|70-74<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>2|
|75+<br>1<br>1<br>1<br>1<br>1<br>2<br>2<br>2<br>2<br>2|
|TOTAL<br>65<br>72<br>78<br>86<br>93<br>99<br>106<br>112<br>119<br>126<br>|
|FEMALES|
|0-4<br>9<br>10<br>10<br>10<br>9<br>9<br>9<br>9<br>9<br>9|
|5_9<br>11<br>9<br>9<br>9<br>10<br>9<br>9<br>9<br>9<br>9|
|10-14<br>11<br>11<br>9<br>9<br>9<br>10<br>9<br>9<br>9<br>9|
|15-19<br>8<br>11<br>11<br>8<br>9<br>9<br>10<br>9<br>9<br>9|
|20-24<br>6<br>8<br>10<br>10<br>8<br>9<br>9<br>10<br>9<br>9|
|25-29<br>4<br>6<br>7<br>10<br>10<br>8<br>9<br>9<br>10<br>9<br>|
|30-34<br>3<br>4<br>5<br>7<br>10<br>10<br>8<br>9<br>9<br>10|
|35-39<br>3<br>3<br>4<br>5<br>7<br>10<br>10<br>8<br>9<br>9<br>|
|40-44<br>3<br>3<br>3<br>3<br>5<br>7<br>10<br>10<br>8<br>9|
|45-49<br>3<br>3<br>3<br>3<br>3<br>5<br>7<br>10<br>10<br>8|
|50-54<br>3<br>3<br>3<br>3<br>3<br>3<br>5<br>7<br>10<br>10|
|55-59<br>2<br>3<br>3<br>3<br>3<br>3<br>3<br>5<br>7<br>10|
|60-64<br>2<br>2<br>3<br>3<br>3<br>3<br>2<br>3<br>5<br>7|
|65-69<br>2<br>2<br>2<br>3<br>3<br>3<br>2<br>2<br>3<br>5|
|70-74<br>1<br>2<br>2<br>2<br>2<br>2<br>2<br>2<br>2<br>3|
|75+<br>2<br>2<br>2<br>2<br>3<br>4<br>4<br>5<br>5<br>5<br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br>|
|TOTAL<br>72<br>78<br>84<br>91<br>97<br>103<br>109<br>115<br>122<br>128|
|BIRTH RATE<br>28.3<br>25.6<br>24.7<br>21.4<br>19.1<br>17.9<br>16.9<br>16.1<br>15.2|
|DEATH RATE<br>6.5<br>5.6<br>5.0<br>4.6<br>4.5<br>4.6<br>4.5<br>4.5<br>4.5|
|RATE OF NAT. INC. 2.18<br>2.00<br>1.97<br>1.69<br>1.46<br>1.33<br>1.24<br>1.16<br>1.08|
|NET MIGRATION<br>RATE -4.2<br>-3.6<br>-3.1<br>-2.4<br>-1.8<br>-1.3<br>-.7<br>-.3<br>.0|
|GROUTH<br>RATE<br>1.76<br>1.64<br>1.66<br>1.45<br>1.28<br>1.20<br>1.17<br>1.13<br>1.08|
|TOTAL FERTILITY 3.500<br>3.006<br>2.582<br>2.217<br>2.086<br>2.082<br>2.077<br>2.073<br>2.068|
|NRR<br>1.648<br>1.426<br>1.230<br>1.060<br>1.000<br>1.000<br>1.000<br>1.000<br>1.000|
|e0)- BOTH SEXES 70.45<br>72.24<br>73.93<br>75.46<br>76.34<br>77.25<br>78.20<br>79.19<br>80.23<br>|
|e15)- BOTH SEXES 5'.55<br>59.03<br>60.46<br>61.77<br>62.49<br>63.25<br>64.04<br>64.87<br>65.73|
|INR<br>0<br>BOTH SEXES<br>21.0<br>17.3<br>14.2<br>11.7<br>10.2<br>8.6<br>7.1<br>5.6<br>4.1<br>|
|q(S) - BOTH SEXES .0252<br>.0209<br>.0173<br>.0144<br>.0126<br>.0109<br>.0091<br>0074<br>0056|
|<br> <br> <br> <br>.<br>.<br>DEP. RATIO<br>107.7<br>83.6<br>68.6<br>64.3<br>58.7<br>53.3<br>47.4<br>43.3<br>41.7<br>42.6|
COUNTRIES, ECONOMIES, AND TERRITORIES 131 Sumrary Projectfon for 25-Year Periods ST. LUCIA

|AGEGROUP<br>1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100<br>2125|<br>2150|
|---|---|---|---|---|---|---|
|TOTAL M+F<br>137|<br>176|<br>241|<br>295|<br>309|<br>315<br>318|<br>320|
|MALES|||||||
|0-4<br>10|<br>10|<br>10|<br>10|<br>9|<br>10<br>10|<br>10|
|5-9<br>11|<br>10|<br>9|9|<br>9|<br>10<br>10|<br>10|
|10-14<br>11|<br>10|<br>9|9|<br>10|<br>10<br>10|<br>10|
|15-19<br>8|10|<br>9|10|<br>10|<br>10<br>9|<br>9|
|20-24<br>5|11|<br>10|<br>10|<br>9|<br>9<br>9|<br>9|
|25-29<br>3|10|<br>10|<br>9|9|<br>9<br>9|<br>9|
|30-34<br>2|7|9|9|9|9<br>9|<br>9|
|35-39<br>2|4|9|9|9|9<br>9|<br>9|
|40-44<br>2|2|9|9|9|9<br>9|<br>9|
|45-49<br>2|2|10|9|9|9<br>9|<br>9|
|50-54<br>2|2|10|10|<br>9|9<br>9|<br>9|
|55-59<br>2|2|7|9|9|9<br>9|<br>9|
|60-64<br>1|2|4|8|8|9<br>9|<br>9|
|65-69<br>1|2|2|8|8|8<br>9|<br>9|
|70-74<br>1|1|1|8|8|8<br>8|<br>8|
|75+<br>1|1|2|10|<br>16|<br>17<br>18|<br>19|
|TOTAL<br>65|86|119|146|<br>153|<br>155<br>156|<br>157|
|FEMALES|||||||
|0-4<br>9|10|9|9|9|9<br>9|<br>9|
|5-9<br>11|9|9|9|9|9<br>9|9|
|10-14<br>11|9|9|9|9|9<br>9|<br>9|
|15-19<br>8|8|9|9|9|9<br>9|9|
|20-24<br>6|10|9|9|9|9<br>9|9|
|25-29<br>4|10|10|9|9|9<br>9|9|
|30-34<br>3|7|9|9|9|9<br>9|9|
|35-39<br>3|5|9|9|9|9<br>9|9|
|40-44<br>3|3|8|9|9|9<br>9|9|
|45-49<br>3|3|10|9|9|9<br>9|9|
|50-54<br>3|3|10|9|9|9<br>9|9|
|55-59<br>2|3|7|9|9|9<br>9|9|
|60-64<br>2|3|5|8|9|9<br>9|9|
|65-69<br>2|3|3|7|8|9<br>9|9|
|70-74<br>1|2|2|9|9|9<br>9|9|
|75+<br>2|2|5|15|23|25<br>27|27|
|TOTAL<br>72|91|122|149|157|160<br>161|162|
|BIRTH RATE|26.1|18.1|13.8|12.3|11.9<br>11.8|11.7|
|DEATH RATE|5.6|4.5|5.8|10.4|11.3<br>11.4|11.5|
|NET MIGRATION<br>RATE|-3.6|-1.3|.0|.0|.0<br>.0|.0|
|GROWTH<br>RATE|1.69|1.24|.81|.19|.07<br>.04|.02|
|TOTAL FERTILITY|2.987|2.106|2.066|2.061|2.059<br>2.058|2.057|
|eCO) BOTH SEXES|72.31|77.40|81.35|83.47|84.64<br>85.52|85.87|
|INR- BOTH SEXES|17.5|8.7|3.6|2.7|2.3<br>2.1|2.0|
## 132 COUNTRIES, ECONOMIES, AND TERRITORIES

# ST. VINCENT ANI) THE GRENADINES

Projection (thousands) with NRR=1 by 2000

|AGEGROUP<br>1985<br>1990<br>1995<br>2000<br>2005<br>2010<br>2015<br>2020<br>2025<br>2030|
|---|
|TOTAL**M+F**<br>102<br>107<br>114<br>121<br>129<br>138<br>146<br>154<br>162<br>169<br>|
|MALES<br>|
|0-4<br>7<br>6<br>6<br>6<br>6<br>6<br>6<br>6<br>6<br>6|
|5-9<br>7<br>6<br>6<br>6<br>6<br>6<br>6<br>6<br>6<br>6<br>|
|10-14<br>6<br>7<br>6<br>6<br>6<br>6<br>6<br>6<br>6<br>6<br>|
|15-19<br>6<br>6<br>6<br>6<br>6<br>6<br>6<br>6<br>6<br>6<br> <br> <br> <br> <br> <br> <br>|
|20-24<br>6<br>6<br>6<br>6<br>6<br>6<br>6<br>6<br>6<br>6<br> <br> <br> <br> <br> <br>|
|25-29<br>5<br>5<br>5<br>5<br>6<br>6<br>6<br>6<br>6<br>6<br> <br> <br>|
|30-34<br>3<br>5<br>5<br>5<br>5<br>6<br>6<br>6<br>6<br>6<br> <br>|
|35-39<br>3<br>3<br>4<br>5<br>5<br>5<br>6<br>6<br>6<br>6|
|40-44<br>2<br>2<br>3<br>4<br>5<br>5<br>5<br>6<br>6<br>6|
|45-49<br>1<br>2<br>2<br>3<br>4<br>5<br>5<br>5<br>6<br>6|
|50-54<br>1<br>1<br>1<br>2<br>3<br>4<br>5<br>5<br>5<br>6<br>|
|55-59<br>1<br>1<br>1<br>1<br>2<br>3<br>4<br>5<br>5<br>5|
|60-64<br>1<br>1<br>1<br>1<br>1<br>2<br>2<br>4<br>4<br>4<br>|
|65-69<br>1<br>1<br>1<br>1<br>1<br>1<br>2<br>2<br>3<br>4<br> <br>|
|70-74<br>1<br>1<br>1<br>1<br>0<br>0<br>1<br>1<br>2<br>3<br>|
|75+<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>2<br>2<br> <br> <br> <br> <br> <br>|
|TOTAL<br>50<br>52<br>56<br>59<br>64<br>68<br>72<br>77<br>80<br>83<br>|
|FEMALES<br> <br> <br> <br> <br> <br> <br>|
|0-4<br>7<br>6<br>6<br>6<br>6<br>6<br>6<br>6<br>6<br>6<br> <br> <br> <br> <br> <br> <br> <br> <br>|
|5-9<br>7<br>6<br>6<br>6<br>6<br>6<br>6<br>6<br>6<br>6<br> <br> <br> <br> <br> <br>|
|10-14<br>6<br>6<br>6<br>6<br>6<br>6<br>6<br>6<br>6<br>6<br> <br>|
|15-19<br>6<br>6<br>6<br>6<br>6<br>6<br>6<br>6<br>6<br>6|
|20-24<br>6<br>5<br>5<br>6<br>6<br>6<br>6<br>6<br>6<br>6<br> <br> <br>|
|25-29<br>5<br>5<br>5<br>5<br>6<br>6<br>6<br>6<br>5<br>6<br> <br>|
|30-34<br>3<br>5<br>5<br>5<br>5<br>6<br>6<br>6<br>6<br>5|
|35-39<br>3<br>3<br>4<br>5<br>5<br>5<br>6<br>6<br>6<br>6<br> <br> <br> <br> <br>|
|40-44<br>2<br>2<br>3<br>4<br>5<br>5<br>5<br>6<br>6<br>6<br> <br> <br> <br>|
|45-49<br>2<br>2<br>2<br>3<br>4<br>5<br>5<br>5<br>6<br>6<br> <br> <br>|
|50-54<br>2<br>2<br>2<br>2<br>3<br>4<br>5<br>5<br>5<br>6<br>|
|55-59<br>2<br>2<br>2<br>1<br>2<br>3<br>4<br>5<br>5<br>5<br> <br>|
|60-64<br>2<br>2<br>2<br>1<br>1<br>2<br>3<br>4<br>5<br>5|
|65-69<br>1<br>1<br>1<br>1<br>1<br>1<br>2<br>3<br>4<br>5<br>|
|70-74<br>1<br>1<br>1<br>1<br>1<br>1<br>1<br>2<br>2<br>4<br> <br> <br>|
|75+<br>1<br>1<br>1<br>2<br>2<br>2<br>2<br>3<br>3<br>4<br>TOTAL<br>53<br>55<br> <br> <br> <br> <br> <br> <br> <br>|
|<br> <br> <br>58<br>62<br>66<br>70<br>74<br>78<br>82<br>85|
|BIRTH RATE<br>24.4<br>22.4<br>19.9<br>18.8<br>18.1<br>17.0<br>15.8<br>14.8<br>14.1|
|DEATH RATE<br>6.3<br>5.6<br>5.0<br>4.7<br>4.7<br>4.8<br>4.9<br>5.3<br>5.8<br> <br>|
|RATE OF NAT. INC.<br>1.81<br>1.68<br>1.49<br>1.41<br>1.33<br>1.22<br>1.09<br>.95<br>.83<br> <br>|
|NET MIGRATION<br>RATE -9.6<br>-3.6<br>-2.6<br>-1.6<br>-. 8<br>.0<br>.0<br>.0<br>.0<br>|
|GROWTH<br>RATE<br>.86<br>1.31<br>1.24<br>1.25<br>1.26<br>1.22<br>1.09<br>.95<br>.83<br>|
|TOTALFERTILITY2.750<br>2.455<br>2.192<br>2.095<br>2.090<br>2.085<br>2.079<br>2.074<br>2.069|
|NRR<br>1.283<br>1.160<br>1.042<br>1.000<br>1.000<br>1.000<br>1.000<br>1.000<br>1.000<br> <br>|
|eCO)- ROTH SEXES 69.24<br>71.10<br>72.85<br>74.50<br>75.43<br>76.39<br>77.40<br>78.46<br>79.56<br> <br> <br> <br>|
|etIS) - BOTHSEXES 56.69<br>58.13<br>59.56<br>60.95<br>61.70<br>62.50<br>63.33<br>64.20<br>65.12<br> <br> <br> <br> <br> <br>|
|INR - BOTH SEXES<br>25.0<br>20.2<br>16.3<br>13.3<br>11.5<br>9.7<br>8.0<br>6.2<br>4.5<br> <br> <br> <br> <br> <br> <br> <br> <br>|
|qt5)- BOTHSEXES .0299<br>.0242<br>.0197<br>.0162<br>.0142<br>.0122<br>.0101<br>.0081<br>.0061|
|DEP. RATIO<br>74.3<br>69.1<br>59.5<br>51.6<br>46.6<br>43.7<br>43.5<br>44.2<br>47.3<br>51.1|
COUNTRIES, ECONOMIES, AND TERRrITRIES 133 Suammry ProJectIon for 25-Year Periods

# ST. VINCENT AND THE GUENADINES

|AGE GROUP<br>1985|<br>2000|<br>2025<br>2050|<br>2075<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|
|TOTALM+F<br>102<br>|<br>121|<br>162<br>186|<br>194<br>198|<br>200|<br>201|
|MALES||||||
|0-4<br>7|<br>6|<br>6<br>6|<br>6<br>6|<br>6|<br>6|
|5-9<br>7|<br>6|<br>6<br>6|<br>6<br>6|<br>6|<br>6|
|10-14<br>6|<br>6|<br>6<br>6|<br>6<br>6|<br>6|<br>6|
|15-19<br>6|<br>6|<br>6<br>6|6<br>6|<br>6|<br>6|
|20-24<br>6|<br>6|<br>6<br>6|<br>6<br>6|<br>6|<br>6|
|25-29<br>5|<br>5|<br>6<br>6|<br>6<br>6|<br>6|<br>6|
|30-34<br>3<br> <br>|<br>5<br>|<br>6<br>6|<br>6<br>6|<br>6|<br>6|
|35-39<br>3|<br>5|<br>6<br>6|<br>6<br>6|<br>6|<br>6|
|40-44<br>2<br>|<br>4|6<br>6|<br>6<br>6|<br>6|<br>6|
|45-49<br>1|<br>3|6<br>6|<br>6<br>6|<br>6|<br>6|
|50-54<br>1|<br>2|5<br>5|<br>6<br>6|<br>6|<br>6|
|55-59<br>1|<br>1|<br>5<br>5|<br>6<br>6|6|<br>6|
|60-64<br>1|<br>1|<br>4<br>5|<br>5<br>6|6|<br>6|
|65-69<br>1|<br>1|<br>3<br>5|<br>5<br>5|5|<br>5|
|70-74<br>1|1|2<br>5|<br>5<br>5|5|<br>5|
|75+<br>1|1|2<br>7|<br>9<br>11|<br>11|<br>12|
|TOTAL<br>50<br>|<br>59|<br>80<br>92|<br>95<br>97|98|<br>99|
|FEMALES<br>||||||
|0-4<br>7|6|6<br>6|6<br>6|6|6|
|5-9<br>7<br> <br>|6<br>|6<br>6<br> <br>|6<br>6|6|6|
|10-14<br>6<br> <br>|6<br>|6<br>6<br>|6<br>6|6|6|
|15-19<br>6|6|6<br>6|6<br>6|6|6|
|20-24<br>6|6|6<br>6|6<br>6|6|6|
|25-29<br>5<br>|5|5<br>6|6<br>6|6|6|
|30-34<br>3<br> <br>|5|6<br>6|6<br>6|6|6|
|35-39<br>3|5|6<br>6|6<br>6|6|6|
|40-44<br>2|4|6<br>6|6<br>6|6|6|
|45-49<br>2|3|6<br>6|6<br>6|6|6|
|50-54<br>2|2|5<br>5|6<br>6|6|6|
|55-59<br>2|1|5<br>6|6<br>6|6|6|
|60-64<br>2|1|5<br>5|6<br>6|6|6|
|65-69<br>1|1|4<br>6|6<br>5|6|6|
|70-74<br>1<br>|1|2<br>5|5<br>5|5|6|
|75+<br>1|2|3<br>10|<br>14<br>16|17|<br>17|
|TOTAL<br>53|62|82<br>95|99<br>101|102|<br>102|
|BIRTH RATE|22.2|16.8<br>13.4|12.3<br>12.0|11.8|11.7|
|DEATH RATE|5.6|4.9<br>7.8|10.7<br>11.2|11.3|11.5|
|NET MIGRATION<br>RATE|-5.1|-.4<br>.0|.0<br>.0|.0|.0|
|GROWTH<br>RATE|1.14|1.15<br>.56|.16<br>.08|.05|.02|
|TOTAL FERTILITY|2.442|2.085<br>2.067|2.062<br>2.059|2.058|2.057|
|e.<br>*^BOTH SEXES|71.13|76.55<br>80.80|83.16<br>84.47|85.44|85.82|
|IMR- BOTH SEXES|20.6|9.8<br>3.9|2.8<br>2.4|2.1|2.0|
134 COUNTRIES, ECONOMIES, AND TERRITORIES

# SURINAME

Projection (thousands) with NRR=1 by 2010

|AGEGROUP<br>1985<br>1990<br>1995<br>2000<br>2005<br>2010<br>2015<br>2020<br>2025<br>TOTAL M+F<br>398<br>447<br>498<br>545<br>587<br>627<br>667<br>710<br>751<br>MALES|2030<br>789|
|---|---|
|0-4<br>27<br>34<br>33<br>31<br>28<br>27<br>29<br>31<br>31|30|
|5-9<br>21<br>27<br>33<br>33<br>31<br>28<br>27<br>29<br>31|31|
|10-14<br>25<br>21<br>26<br>33<br>33<br>31<br>28<br>27<br>29|31|
|<br> <br> <br> <br> <br> <br> <br>1519<br>2<br>2<br>2<br> <br> <br> <br> <br> <br>||
|-<br>5<br>5<br>0<br>26<br>33<br>33<br>31<br>28<br>27|29|
|20-24<br>24<br>24<br>24<br>20<br>26<br>33<br>33<br>31<br>28|27|
|25-29<br>17<br>23<br>24<br>24<br>20<br>26<br>33<br>32<br>30|28|
|30-34<br>11<br>16<br>23<br>23<br>24<br>20<br>26<br>32<br>32|30|
|35-39<br>8<br>11<br>16<br>22<br>23<br>23<br>20<br>25<br>32|32|
|40-44<br>7<br>8<br>11<br>15<br>22<br>23<br>23<br>19<br>25|32|
|45-49<br>7<br>7<br>8<br>10<br>15<br>21<br>22<br>23<br>19|25|
|50-54<br>6<br>7<br>7<br>7<br>10<br>14<br>21<br>22<br>22|19|
|55-59<br>5<br>6<br>6<br>6<br>7<br>9<br>14<br>20<br>21|21|
|60-64<br>4<br>5<br>5<br>6<br>6<br>6<br>9<br>13<br>19|20|
|65-69<br>3<br>4<br>4<br>5<br>5<br>5<br>6<br>8<br>12|17|
|70-74<br>2<br>2<br>3<br>3<br>4<br>4<br>4<br>5<br>7|10|
|75+<br>2<br>2<br>3<br>3<br>4<br>5<br>5<br>6<br>7|9|
|TOTAL<br>196<br>221<br>246<br>269<br>290<br>309<br>329<br>350<br>371|389|
|FEMALES||
|0-4<br>26<br>32<br>32<br>30<br>27<br>26<br>28<br>29<br>30|29|
|5-9<br>21<br>25<br>32<br>32<br>30<br>27<br>26<br>27<br>29|29|
|10-14<br>24<br>20<br>25<br>32<br>32<br>30<br>27<br>26<br>27|29|
|15-19<br>25<br>24<br>20<br>25<br>'2<br>32<br>30<br>27<br>26|27|
|20-24<br>24<br>24<br>23<br>20<br>25<br>32<br>32<br>30<br>27<br> <br>|26|
|25-29<br>18<br>23<br>24<br>23<br>20<br>25<br>32<br>32<br>30|27|
|30-34<br>12<br>17<br>23<br>24<br>23<br>20<br>25<br>32<br>32|29|
|35-39<br>9<br>12<br>17<br>23<br>24<br>23<br>20<br>25<br>32|32|
|40-44<br>8<br>9<br>12<br>17<br>23<br>24<br>23<br>20<br>25|31|
|45-49<br>8<br>8<br>9<br>12<br>17<br>22<br>23<br>23<br>20|25|
|50-54<br>7<br>8<br>8<br>9<br>12<br>16<br>22<br>23<br>22|19|
|55-59<br>6<br>7<br>8<br>8<br>9<br>11<br>16<br>22<br>23|22|
|60-64<br>4<br>6<br>7<br>7<br>7<br>8<br>11<br>16<br>21|22|
|65-69<br>3<br>4<br>5<br>6<br>7<br>7<br>8<br>10<br>15|20|
|70-74<br>2<br>3<br>3<br>5<br>5<br>6<br>6<br>7<br>10|14|
|75+<br>4<br>4<br>4<br>4<br>6<br>8<br>10<br>12<br>14<br> <br> <br> <br> <br> <br> <br> <br> <br> <br>|17<br>|
|TOTAL<br>202<br>227<br>253<br>276<br>298<br>318<br>338<br>360<br>381|400|
|BIRTH RATE<br>33.0<br>29.0<br>24.2<br>20.2<br>18.0<br>17.7<br>17.7<br>16.7<br>1|5.3|
|DEATH RATE<br>7.3<br>6.2<br>5.4<br>5.0<br>5.0<br>5.2<br>5.3<br>5.4<br>5|.6|
|RATEOF NAT. INC.<br>2.58<br>2.28<br>1.88<br>1.52<br>1.30<br>1.26<br>1.24<br>1.13<br>.|97|
|NET MIGRATION<br>RATE -2.4<br>-1.3<br>-. 8<br>-. 4<br>.0<br>.0<br>.0<br>.0|.0|
|GROWTH<br>RATE<br>2.34<br>2.16<br>1.81<br>1.49<br>1.30<br>1.26<br>1.24<br>1.13<br>.|97|
|TOTAL FERTILITY<br>3.679<br>3.218<br>2.840<br>2.506<br>2.212<br>2.104<br>2.094<br>2.083<br>2.0|73|
|NRR<br>1.665<br>1.483<br>1.325<br>1.180<br>1.046<br>1.000<br>1.000<br>1.000<br>1.0|00|
|eCO)- BOTH SEXES 66.65<br>68.63<br>70.56<br>72.37<br>73.44<br>74.56<br>75.72<br>76.92<br>78.|18|
|eC15)- BOTHSEXES 55.90<br>57.30<br>58.64<br>59.91<br>60.63<br>61.39<br>62.18<br>63.01<br>63.|88|
|INR- BOTH SEXES<br>42.0<br>36.5<br>30.7<br>25.2<br>21.3<br>17.4<br>13.5<br>9.6<br>5<br> <br> <br> <br> <br> <br> <br> <br> <br>|.7<br>|
|q(5) - BOTH SEXES .0531<br>.0450<br>.0372<br>.0301<br>.0256<br>.0211<br>.0166<br>.0120<br>.00|75|
|<br>DEP. RATIO<br>67.3<br>65.7<br>69.6<br>66.2<br>56.6<br>48.4<br>44.2<br>44.1<br>46.8|50.9|
COUNTRIES, ECONOMIES, AND TERRITORIES 135 Sunmary Projection for 25-Year Periods SURINAME

|AGE GROUP<br>1985<br>TOTAL**M+F**<br>398|<br>2000<br> <br>545|<br>2025<br>751|<br>2050<br> <br>896|<br>2075<br> <br>957|<br>2100<br>2125<br> <br>977<br>989|<br>2150<br> <br>995|
|---|---|---|---|---|---|---|
|MALES|||||||
|0-4<br>27|31|31|30|<br>30|<br>30<br>30|<br>30|
|5-9<br>21|33|31|29|<br>29|<br>30<br>30|<br>30|
|10-14<br>25|33|29|29|<br>29|<br>30<br>30|<br>30|
|15-19<br>25|26|27|<br>29|<br>30|<br>30<br>30|<br>30|
|20-24<br>24|20|28|30|<br>30|<br>30<br>30|<br>30|
|25-29<br>17|24|30|30|<br>30|<br>29<br>29|<br>29|
|30-34<br>11|23|32|30|29|29<br>29|<br>29|
|35-39<br>8|22|32|28|<br>29|29<br>29|29|
|40-44<br>7|15|25|26|28|29<br>29|29|
|45-49<br>7|10|19|27|29|29<br>29|29|
|50-54<br>6|7|22|29|29|29<br>29|29|
|55-59<br>5|6|21|30|28|28<br>28|28|
|60-64<br>4|6|19|29|26|27<br>27|28|
|65-69<br>3|5|12|21|23|25<br>26|27|
|70-74<br>2|3|7|14|22|24<br>25|25|
|75+<br>2|3|7|28|48|53<br>56|58|
|TOTAL<br>196|269|371|440|469|480<br>486|<br>489|
|FEMALES|||||||
|0-4<br>26|30|30|29|28|28<br>28|28|
|5-9<br>21|32|29|28|28|28<br>28|28|
|10-14<br>24|32|27|28|28|28<br>28|28|
|15-19<br>25|25|26|28|28|28<br>28|28|
|20-24<br>24|20|27|29|29|28<br>28|28|
|25-29<br>18|23|30|29|29|28<br>28|28|
|30-34<br>12|24|32|29|28|28<br>28|28|
|35-39<br>9|23|32|27|28|28<br>28|28|
|40-44<br>8|17|25|26|28|28<br>28|28|
|45-49<br>8|12|20|27|28|28<br>28|28|
|50-54<br>7|9|22|29|29|28<br>28|28|
|55-59<br>6|8|23|31|28|28<br>28|28|
|60-64<br>4|7|21|30|26|27<br>28|28|
|65-69<br>3|6|15|23|25|27<br>27|28|
|70-74<br>2|5|10|18|25|27<br>27|27|
|75+<br>4|4|14|46|73|78<br>82|85|
|TOTAL<br>202|276|381|455|487|<br>497<br>502|505|
|BIRTH RATE|28.5|18.0|14.0|12.5|12.0<br>11.8|11.7|
|DEATH RATE|6.2|5.2|7.0|9.8|11.2<br>11.3|11.5|
|NETMIGRATION<br>RATE|-1.4|-. 1|.0|.0|.0<br>.0|.0|
|GROWTH<br>RATE|2.10|1.28|.70|.26|.08<br>.05|.02|
|TOTAL FERTILITY|3.220|2.186|2.069|2.063|2.060<br>2.058|2.057|
|eCO)**-** BOTH SEXES|68.75|74.74|79.67|82.52|84.08<br>85.24|85.70|
|**IMR**- BOTH SEXES|36.6|17.2|4.7|3.0|2.5<br>2.1|2.0|
136 COUNTRIES, ECONOMIES, AND TERRITORIES

# rl flr<sup>m</sup> AD AND TOBAGO

Projectfon (thouads) with NR'-1 by 2005

|AGE GROUP<br>1985<br>1990<br>1995<br>2000<br>2005<br>2010<br>2015<br>2020<br>2025<br>2030<br>TOTAL M+F<br>1160<br>1236<br>1301<br>1364<br>1428<br>1499<br>1576<br>1653<br>1725<br>1791<br>MALES|
|---|
|0-4<br>76<br>77<br>70<br>64<br>61<br>63<br>66<br>66<br>64<br>63|
|5-9<br>63<br>73<br>75<br>68<br>63<br>60<br>62<br>65<br>66<br>64|
|10-14<br>60<br>61<br>72<br>74<br>67<br>62<br>60<br>62<br>65<br>66|
|15-19<br>59<br>58<br>60<br>70<br>73<br>67<br>62<br>59<br>62<br>65|
|20-24<br>64<br>55<br>55<br>57<br>68<br>71<br>66<br>61<br>59<br>61|
|25-29<br>53<br>58<br>50<br>51<br>55<br>67<br>70<br>65<br>61<br>58|
|30-34<br>41<br>48<br>54<br>47<br>49<br>53<br>65<br>69<br>64<br>60|
|35-39<br>34<br>38<br>45<br>52<br>45<br>48<br>52<br>64<br>68<br>64|
|<br> <br><br>40-44<br>27<br>32<br>35<br>43<br>50<br>44<br>47<br>51<br>64<br>68|
|45-49<br>23<br>25<br>30<br>34<br>42<br>49<br>43<br>46<br>50<br>63|
|50-54<br>18<br>21<br>23<br>29<br>33<br>41<br>48<br>42<br>45<br>50|
|55-59<br>17<br>16<br>20<br>22<br>27<br>31<br>39<br>46<br>41<br>44|
|60-64<br>15<br>15<br>15<br>18<br>21<br>26<br>29<br>37<br>44<br>39|
|65-69<br>12<br>13<br>13<br>13<br>16<br>18<br>23<br>27<br>34<br>41|
|70-74<br>9<br>9<br>10<br>11<br>11<br>14<br>16<br>20<br>24<br>30<br> <br>|
|75+<br>8<br>10<br>11<br>13<br>15<br>16<br>19<br>23<br>29<br>36|
|TOTAL<br>577<br>610<br>638<br>666<br>696<br>729<br>766<br>804<br>839<br>872|
|FEMALES|
|0-4<br>74<br>75<br>68<br>62<br>59<br>61<br>64<br>64<br>62<br>61|
|5-9<br>62<br>71<br>73<br>66<br>61<br>58<br>60<br>63<br>64<br>62|
|10-14<br>58<br>61<br>70<br>72<br>66<br>61<br>58<br>60<br>63<br>64|
|15-19<br>59<br>57<br>59<br>69<br>71<br>65<br>60<br>58<br>60<br>63|
|20-24<br>64<br>56<br>54<br>57<br>68<br>70<br>64<br>60<br>57<br>60<br> <br>|
|25-29<br>53<br>61<br>53<br>52<br>56<br>67<br>69<br>64<br>60<br>57|
|30-34<br>42<br>51<br>58<br>52<br>51<br>55<br>66<br>69<br>64<br>59|
|35-39<br>33<br>41<br>49<br>57<br>51<br>50<br>54<br>65<br>69<br>63|
|40-44<br>28<br>32<br>39<br>48<br>56<br>50<br>50<br>54<br>65<br>68|
|45-49<br>23<br>27<br>31<br>39<br>47<br>56<br>50<br>49<br>54<br>65|
|50-54<br>20<br>22<br>26<br>31<br>38<br>46<br>55<br>49<br>49<br>53|
|55-59<br>l8<br>19<br>21<br>25<br>30<br>37<br>46<br>54<br>48<br>48|
|60-64<br>14<br>17<br>l8<br>20<br>24<br>29<br>36<br>44<br>52<br>47|
|65-69<br>12<br>13<br>15<br>17<br>19<br>23<br>27<br>34<br>42<br>51<br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br>|
|70-74<br>11<br>10<br>11<br>14<br>15<br>17<br>21<br>25<br>32<br>40|
|75+<br>13<br>15<br>16<br>17<br>21<br>25<br>30<br>36<br>45<br>58<br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br>|
|TOTAL<br>583<br>626<br>663<br>698<br>732<br>770<br>810<br>849<br>886<br>919|
|BIRTH RATE<br>26.7<br>22.7<br>19.7<br>17.7<br>17.3<br>17.1<br>16.3<br>15.2<br>14.1|
|DEATH<br>RATE<br>6.6<br>6.1<br>5.8<br>5.6<br>5.7<br>5.8<br>6.0<br>6.2<br>6.6|
|RATE OF NAT. INC.<br>2.01<br>1.65<br>1.39<br>1.21<br>1.16<br>1.13<br>1.03<br>.89<br>.76|
|**NET MIGRATION**<br>RATE -7.3<br>-6.3<br>-4.5<br>-2.9<br>-1.8<br>-1.3<br>-.8<br>-4<br>.0|
|GROWTH<br>RATE<br>1.28<br>1.02<br>.94<br>.92<br>.98<br>1.00<br>.95<br>.85<br>.76|
|TOTAL FERTILITY<br>2.950<br>2.662<br>2.402<br>2.167<br>2.080<br>2.074<br>2.068<br>2.062<br>2.056|
|NRR<br>1.389<br>1.262<br>1.147<br>1.039<br>1.000<br>1.000<br>1.000<br>1.000<br>1.000|
|**e(O)**- BOTHSEXES 70.15<br>71.57<br>73.03<br>74.44<br>75.39<br>76.38<br>77.42<br>78.51<br>79.64|
|ecIS)- **BOTH**SEXES 57.91<br>58.89<br>59.98<br>61.08<br>61.82<br>62.60<br>63.42<br>64.28<br>65.18|
|**INR**- BOTH SEXES<br>27.9<br>23.1<br>18.9<br>15.4<br>13.2<br>11.0<br>8.8<br>6.6<br>4.4<br> <br> <br> <br>|
|qC5) -BOTH SEXES .0336<br>.0277<br>.0227<br>.0187<br>.0162<br>0136<br>0111<br>0085<br>0060|
|<br> <br> <br> <br> <br>.<br>.<br>.<br>.<br>DEP. RATIO<br>64.9<br>65.2<br>63.2<br>56.3<br>49.7<br>46.8<br>47.2<br>49.4<br>52.2<br>55.0|
COUNTRIES, ECONOMIES, AND TERRrITRIES 137 Summary Projection for 25-Year Periods TRINDAD AM TOBAGO

|AGE GROUP<br>1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTAL M+F<br>1160|<br>1364|<br>1725|<br>1982|<br>2083|<br>2121|<br>2143|<br>2154|
|MALES||||||||
|0-4<br>76|<br>64|<br>64|<br>64|<br>64|<br>64|<br>64|<br>64|
|5-9<br>63|<br>68|<br>66|<br>64|<br>64|<br>64|<br>64|<br>64|
|10-14<br>60|<br>74|<br>65|<br>63|<br>63|<br>63|<br>64|<br>64|
|15-19<br>59|<br>70|<br>62|<br>62|<br>63|<br>64|<br>64|<br>64|
|20-24<br>64|<br>57|<br>59|<br>62|<br>64|<br>64|<br>63|<br>63|
|25-29<br>53|<br>51|<br>61|<br>64|<br>64|<br>63|<br>63|<br>63|
|30-34<br>41|<br>47|<br>64|<br>65|<br>64|<br>63|<br>63|<br>63|
|35-39<br>34|<br>52|<br>68|<br>64|<br>62|<br>63|<br>63|<br>63|
|40-44<br>27|<br>43|<br>64|<br>60|<br>61|<br>62|<br>63|<br>63|
|45-49<br>23|<br>34|<br>50|<br>57|<br>61|<br>62|<br>62|<br>62|
|50-54<br>18|<br>29|<br>45|<br>58|<br>62|<br>62|<br>6!|<br>62|
|55-59<br>17|<br>22|<br>41|<br>60|<br>62|<br>61|<br>61|<br>61|
|60-64<br>15|<br>18|<br>44|<br>62|<br>59|<br>58|<br>59|<br>59|
|65-69<br>12|<br>13|<br>34|<br>55|<br>53|<br>55|<br>57|<br>57|
|70-74<br>9|<br>11|<br>24|<br>40|<br>47|<br>52|<br>54|<br>54|
|75+<br>8|<br>13|<br>29|<br>67|<br>107|<br>118|<br>124|<br>127|
|TOTAL<br>577|<br>666|<br>839|<br>969|<br>1019|<br>1038|<br>1048|<br>1053|
|FEMALES||||||||
|0-4<br>74|<br>62|<br>62|<br>62|<br>62|<br>62|<br>62|<br>62|
|5-9<br>62|<br>66|<br>64|<br>62|<br>61|<br>61|<br>61|<br>62|
|10-14<br>58|<br>72|<br>63|<br>61|<br>61|<br>61|<br>62|<br>62|
|15-19<br>59|<br>69|<br>60|<br>60|<br>61|<br>62|<br>62|<br>62|
|20-24<br>64|<br>57|<br>57|<br>61|<br>62|<br>62|<br>62|<br>61|
|25-29<br>53|<br>52|<br>60|<br>62|<br>62|<br>62|<br>61|<br>61|
|30-34<br>42|<br>52|<br>64|<br>63|<br>62|<br>61|<br>61|<br>61|
|35-39<br>33|<br>57|<br>69|<br>63|<br>61|<br>61|<br>61|<br>61|
|40-44<br>28|<br>48|<br>65|<br>59|<br>60|<br>61|.<br>61|<br>61|
|45-49<br>23|<br>39|<br>54|<br>57|<br>60|<br>61|<br>61|<br>61|
|50-54<br>20|<br>31|<br>49|<br>58|<br>61|<br>61|<br>61|<br>61|
|55-59<br>18|<br>25|<br>48|<br>62|<br>62|<br>61|<br>61|<br>61|
|60-64<br>14|<br>20|<br>52|<br>66|<br>61|<br>60|<br>60|<br>60|
|65-69<br>12|<br>17|<br>42|<br>61|<br>57|<br>58|<br>59|<br>60|
|70-74<br>11|<br>14|<br>32|<br>48|<br>53|<br>57|<br>59|<br>59|
|75+<br>13|<br>17|<br>45|<br>108|<br>158|<br>172|<br>181|<br>185|
|TOTAL<br>583|<br>698|<br>886|<br>1014|<br>1063|<br>1083|<br>1095|<br>1101|
|BIRTH RATE|22.9|16.7|13.4|12.3|11.9|11.8|11.7|
|DEATH RATE|6.2|5.9|7.9|10.3|11.2|11.4|11.5|
|NET MIGRATION<br>RATE|-6.0|-1.4|.0|.0|.0|.0|.0|
|GROWTH<br>RATE|1.08|.94|.56|.20|.07|.04|.02|
|TOTAL FERTILITY|2.679|2.089|2.053|2.047|2.045|2.043|2.042|
|e(O)- BOTH SEXES|71.63|76.53|80.86|83.19|84.49|85.45|85.84|
|IMR- BOTH SEXES|23.6|11.0|3.8|2.8|2.4|2.1|2.0|
138 COUNTRIES, ECONOMIES, AND TERRITORIES

# UNIrED STATES OF AMIERICA

|UNIrED|STAT|S OF A|IERICA|||P|rojectfon (t|housands|) with NR|R=1by 2030|
|---|---|---|---|---|---|---|---|---|---|---|
|AGE GROUP|1985|<br>1990|<br>1995|2000|2005|2010|<br>2015|2020|<br>202|5<br>2030|
|TOTAL<br>**M+F**|239279|<br>249975|<br>261923|272793|282513|<br>291291|<br>299600|307530|<br>31432|9<br>319345|
|MALES|||||||||||
|0-4|9230|<br>9637|<br>10090|9728|9529|<br>9606|<br>9844|10035|<br>1005|1<br>9960|
|5-9<br>|8608<br>|<br>9340<br> <br>|<br>9759<br> <br>|10200|9816|9592|<br>9645|9869|<br>1004|3<br>10041|
|10-14<br>|8762<br>|<br>8688<br> <br>|<br>9431<br> <br>|9843<br>|10267<br>|9865<br>|<br>9625<br> <br>|9668|<br>988|0<br>10041|
|15-19|9477|<br>8833|<br>8m|9506|9902|10307|<br>9889|9640|<br>967|1<br>9870|
|20-24|10704|<br>9624|<br>8998|8917|9617|9976|<br>10346|9911|<br>963|9<br>9646|
|25-29|11002|<br>10902|<br>9844|9191|9069|9717|<br>10029|10371|<br>990|4<br>9599|
|30-34<br>|10164<br>|<br>11160<br> <br>|<br>11076<br>|10000|9315|9152|<br>9759|10047|<br>1036|0<br>9866|
|35-39|8793|<br>10257|<br>11262|11165|10071|9361|<br>9170|9758|<br>1002|5<br>10316|
|40-44<br>|6910<br>|<br>8813<br> <br>|<br>10279<br> <br>|11271<br>|11164|10060|<br>9336|9137|<br>970|8<br>9960|
|45-49<br>|5685<br>|<br>6860<br> <br>|<br>8749<br> <br>|10199<br>|11181<br>|11070<br>|<br>9973<br> <br>|9257|<br>905|6<br>9619|
|50-54<br>|5283<br>|<br>5557<br> <br>|<br>6719<br>|8577|10009|10975|<br>10871|9801|<br>910|2<br>8910|
|55-59<br>|5380|<br>5057|<br>5345|6485|8303|9702|<br>10654|10571|<br>954|6<br>8880|
|60-64<br>|5120|<br>5003|<br>4740|5044|6157|7907|<br>9270|10212|<br>1016|6<br>9211|
|65-69<br>|4254<br>|<br>4558<br> <br>|<br>4507<br> <br>|4316<br>|4640<br>|5696|<br>7357|8674|<br>9611|<br>9623|
|70-74|3213<br>|<br>3522<br>|<br>3846|3869|3767|4089|<br>5068|6609|<br>7866|<br>8799|
|75+<br>|4061<br>|<br>4314<br> <br>|4887<br> <br>|5615<br>|6175<br>|6462<br>|<br>6947<br> <br>|8162<br>|<br>1035<br> <br>|8<br>12965<br>|
|TOTAL<br>|116643|<br>122126|<br>128304|133927|138983|143537|<br>147783|151724|<br>15498|6<br>157305|
|FEMALES<br>|||||||||||
|0-4|8807|<br>9170|9600|9253|9061|9131|<br>9355|9535|<br>9547|<br>9459|
|5-9<br>10-14|8213<br>8341|8925<br>8298|9301<br>9021|9717<br>|9347<br>|9130<br>|<br>9176<br> <br>|9385<br>|<br>954<br> <br>|6<br>9541<br> <br>|
|<br>|<br>|<br>|<br>|9389<br>|9788<br>|9399<br>|<br>9165<br> <br>|9201<br>|<br>9397<br>|<br>9545<br>|
|15-19|9110|8431|8403|9119|9467|9845|<br>9437|9192|9213|<br>9394|
|20-24<br>|10503<br>|<br>9280<br> <br>|8628<br> <br>|8590<br>|9268|9576|<br>9916|9487|9213|<br>9206|
|25-29<br>|10881<br>|<br>10699<br> <br>|<br>9510<br>|8847|8764|9394|<br>9658|9971|9509|<br>9202|
|30-34|10178|<br>11020|<br>10864|9669|8974|8856|9451|9695|<br>9982|<br>9495|
|35-39|8969|10255|<br>11113|10954|9741|9025|<br>8885|9467|<br>9694|<br>9964|
|40-44<br>|7167<br>|8986<br>|10278|11133|10966|9747|9022|8877|9450|<br>9668|
|45-49<br>|5969<br>|7139<br>|8953<br>|10241<br>|11091|10923|<br>9708|8988|8842|<br>9411|
|50-54<br>|5660<br>|5906<br>|7070<br>|8871|10152|10998|<br>10834|9635|8923|<br>8782|
|55-59<br>|5957<br>|5553|5804|6959|8744|10015|<br>10859|10707|<br>9531|<br>8835|
|60-64<br>|5877<br>|5776<br>|5400|5661|6806|8565|9827|10673|<br>10542|<br>9400|
|65-69<br>|5176<br>|5587<br>|5519<br>|5188<br>|5465<br>|6589|8316|9570|10424|<br>10328|
|70-74<br>|4352<br>|4738<br>|5161<br>|5148<br>|4881<br>|5169<br>|6265<br> <br>|7950<br>|9197|<br>10071|
|75+|7474|8086|8992|10127|11014|11392|<br>11941|13474|16332|<br>19740|
|TOTAL|122636|127849|133619|138866|14330||<br>||<br> <br>|<br><br> <br>|
||||||5|147754|<br>151817|155806|<br>15934|<br>162040|
|BIRTH RATE||15.4|15.4<br>1|4.2<br>1|3.4<br>|13.1|13.0<br>1|2.9|12.7|12.3|
|DEATH RATE<br>|<br>|8.9|8.4<br>|8.1<br>|8.0|8.1|8.2|8.2|8.5|9.1|
|RATE OF NAT<br>|. INC.<br> <br>|.65<br>|.70<br> <br> <br>|.61<br> <br> <br>|.54<br>|.50<br>|.49<br>|.47|.41|.32|
|NETMIGRAT|ION<br>RATE|2.2|2.3<br>|2.0<br>|1.6|1.1|.8|.5|.3|0|
|GROWTH<br>RATE||.87|.93<br>|.81<br>|.70|.61|<br>.56|<br>.52|<br>.44|.<br>.32|
|TOTAL FERTI|LITY<br>1|.880<br>2|.000<br>2.0|09<br>2.0|18<br>2.|027<br>2|.037<br>2.|046<br>2|.055|2.064|
|NRR<br>||.899<br>|.957<br>.9|64<br>.9|70<br>.|975|.981<br>.|987|.992|.998|
|**e(O)**- BOT<br>|SEXES 7<br>|5.39<br>7<br> <br>|6.45<br>77<br>|.53<br>78|.56<br>79|.23<br>7|9.92<br>80|.63<br>8|1.37<br>|82.13|
|e15) - BOT|H SEXES6|1.53<br>6<br>|2.48<br>63<br> <br>|.45<br>64<br> <br>|.37<br>64<br>|.96<br>6|5.57<br>66|.20<br>6|6.85<br>|67.52|
|**IMR**- BOTH S<br>|EXES<br>|10.3<br> <br>|9.0<br> <br>|7.8<br>6<br>|.7<br> <br>|6.0<br> <br>|5.3<br> <br>|4.6|3.9|3.1|
|q(5)- BOTH <br>|SEXES .<br> <br>|0128<br>.<br>|0113<br>.0<br>|099<br>.0<br>|87<br>.0<br>|078<br>.<br>|0070<br>.0<br>|061<br>.<br>|0053<br>|.0044<br>|
|DEP. RATIO|<br>50.7|51.4|52.5|51.2|49.7|49.3|52.2|57.4|63.6|68.8|
COUNTRIES, ECONOMIES, AND TERRITORIES 139 Sumnary ProJection for 25-Year Perlods

# UNM D STATES OF AMERICA

|AGE GROUP|1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL M+F|239279|<br>272793|<br>314329|<br>324099|<br>328000|<br>330940|<br>332998|<br>334085|
|MALES|||||||||
|0-4|9230|9728|10051|<br>9974|<br>9938|<br>9932|<br>9934|<br>9935|
|5-9|8608|<br>10200|<br>10043|<br>9925|<br>9913|<br>9923|<br>9928|<br>9929|
|10-14|8762|9843|9880|<br>9867|<br>9907|<br>9926|<br>9929|<br>9928|
|15-19|9477|9506|<br>9671|<br>9860|<br>9921|<br>9929|<br>9925|<br>9922|
|20-24|10704|<br>8917|9639|<br>9918|<br>9932|<br>9915|<br>9906|<br>9905|
|25-29|11002|<br>9191|9904|<br>9972|<br>9907|<br>9878|<br>9876|<br>9879|
|30-34|10164|<br>10000|<br>10360|<br>993b|<br>9835|<br>9832|<br>9847|<br>9855|
|35-39|8793|11165|<br>10025|<br>9739|<br>9747|<br>9799|<br>9825|<br>9832|
|40-44|6910|11271|<br>9708|<br>9488|<br>9702|<br>9779|<br>9798|<br>9798|
|45-49|5685|10199|<br>9056|<br>9401|<br>9711|<br>9747|<br>9744|<br>9742|
|50-54|5283|8577|9102|<br>9559|<br>9677|<br>9645|<br>9636|<br>9643|
|55-59|5380|6485|9546|<br>9817|<br>9497|<br>9446|<br>9472|<br>9499|
|60-64|5120|5044|10166|<br>9238|<br>9090|<br>9167|<br>9258|<br>9303|
|65-69|4254|4316|9611|8569|<br>8536|<br>8828|<br>8960|<br>9006|
|70-74|3213|3869|7866|<br>7452|<br>7968|<br>8375|<br>8495|<br>8537|
|75+|4061|5615|10358|<br>16780|<br>18332|<br>19039|<br>19637|<br>20004|
|TOTAL|116643|<br>133927|<br>154986|<br>159496|<br>161614|<br>163160|<br>164170|<br>164716|
|FEMALES|||||||||
|0-4|8807|9253|9547|9473|9438|9432|9434|<br>9435|
|5-9|8213|9717|9546|<br>9429|9418|9426|9431|<br>9431|
|10-14|8341|9389|9397|9374|9413|9430|9433|<br>9432|
|15-19|9110|9119|9213|9373|9431|9438|9433|<br>9430|
|20-24|10503|<br>8590|9213|9444|9455|9438|9428|<br>9426|
|25-29|10881|8847|9509|<br>9523|9454|9423|9419|<br>9422|
|30-34|10178|9669|9982|9517|<br>9407|9401|9412|<br>9418|
|35-39|8969|10954|9694|9354|9344|9389|9410|9415|
|40-44|7167|11133|9450|9153|9329|9396|9409|9408|
|45-49|5969|10241|8842|9128|9382|9407|9398|9392|
|50-54|5660|8871|8923|9380|9430|9382|9364|9366|
|55-59|5957|6959|9531|9780|9377|9300|9313|9332|
|<br>60-64|5877|5661|10542|<br>9405|9152|9187|9259|9293|
|65-69|5176|5188|10424|<br>9035|8862|9099|9205|9237|
|70-74|4352|5148|9197|8251|8685|9027|9113|9133|
|75+|7474|10127|16332|24985|26810|27603|28367|<br>28799|
|TOTAL|122636|138866|159343|<br>164603|<br>166387|<br>167780|<br>168828|<br>169370|
|BIRTH RATE||15.0|13.0|12.1|11.9|11.8|11.7|11.6|
|DEATH RATE||8.5|8.2|10.9|11.4|11.4|11.4|11.5|
|**NET**MIGRAT|ION<br>RATE|2.2|.8|.0||.0|.0|.0|
|GROWTH<br>RAT|E|.87|.57|.12|.05|.04|.02|.01|
|TOTALFERT|ILITY|1.970|2.037|2.065|2.063|2.062|2.061|2.061|
|**e(O)-** BOTH|SEXES|76.49|79.98|82.90|84.39|85.20|85.79|86.04|
|<br>INR**-** BOTH|SEXES|9.0|5.3|2.9|2.4|2.1|2.0|1.9|
140 COUNlTIES, ECONOMIES, AND TERRITORIES

# URUGUAY

|ProJection (thousands) withNRR=1 by1995|
|---|

|AGE GROUP<br>1985<br>TOTAL M+F<br>3008<br>|1990<br>1995<br>2000<br>3094<br>3177<br>3274|2005<br>3390|2010<br>3501|2015<br>3603|2020<br>202<br>3697<br>378|5<br>2030<br>8<br>3877|
|---|---|---|---|---|---|---|
|MALES|||||||
|0-4<br>134<br> <br>|132<br>124<br>126|131|133|131|129<br>12|8<br>129|
|5-9<br>143<br> <br>|132<br>131<br>123<br> <br> <br>|126|131|132|131<br>12|9<br>128|
|10-14<br>135|142<br>131<br>130|123|126|131|132<br>13|1<br>129|
|15-19<br>118<br>|133<br>140<br>130|130|123|125|130<br>13|2<br>131|
|20-24<br>115|115<br>131<br>139|129|129|122|125<br>13|0<br>132|
|25-29<br>107|111<br>112<br>129|138|129|128|122<br>12|4<br>129|
|30.34<br>97|103<br>109<br>111|129|137|128|128<br>12|1<br>124|
|35-39<br>89|94<br>101<br>107|110|128|137|127<br>12|7<br>121|
|40-44<br>84|86<br>92<br>100|106|109|127|135<br>12|6<br>126|
|45-49<br>80|81<br>84<br>90|98|105|107|125<br>13|4<br>125|
|50-54<br>84|77<br>79<br>82|88|96|102|105<br>12|3<br>131|
|55-59<br>78|79<br>73<br>75|78|84|92|99<br>10|2<br>119|
|60-64<br>66|71<br>_n_<br>67|70|74|80|88<br>94|<br>98|
|65-69<br>50|57<br>62<br>64|60|63|67|73<br>81|<br>88|
|70-74<br>41|40<br>47<br>52|54|51|55|59<br>65|<br>73|
|75+<br>48|52<br>55<br>62|71|79|83|88<br>97|<br>109|
|TOTAL<br>1469|1508<br>1544<br>1588|1642|1696|1747|1796<br>184|3<br>1890|
|FEMALES|||||||
|0-4<br>129|127<br>119<br>121|125|127|125|123<br>12|2<br>123|
|5-9<br>138|127<br>125<br>118|120|125|127|125<br>12|3<br>122|
|10-14<br>129|137<br>126<br>125|118|120|125|127<br>12|5<br>123|
|15-19<br>116|128<br>136<br>126|125|118|120|125<br>12|6<br>125|
|20-24<br>116|114<br>126<br>135|126|125|118|120<br>12|5<br>126|
|25-29<br>111|114<br>112<br>125|135|125|124|118<br>12|0<br>125|
|30-34<br>99|109<br>112<br>111|125|134|125|124<br>11|7<br>120|
|35-39<br>94|97<br>108<br>111|111|125|134|125<br>124|<br>117|
|40-44<br>88|93<br>96<br>107|111|110|124|134<br>124|<br>124|
|45-49<br>85|87<br>92<br>_95_|106|110|110|123<br>133|<br>124|
|50-54<br>87|83<br>85<br>90|94|105|109|109<br>122|<br>132|
|55-59<br>85|85<br>81<br>84|89|93|104|108<br>108|<br>121|
|60-64<br>73|81<br>82<br>79|82|87|91|102<br>106|<br>106|
|65-69<br>59|68<br>77<br>78|76|79|84|89<br>99|<br>103|
|70-74<br>54<br> <br>|52<br>62<br>71|73|_n_|75|80<br>85|<br>95|
|75+<br>76|85<br>93<br>110|132|150|161|171<br>185|<br>200|
|TOTAL<br>139|<br> <br>||<br>|<br>|<br> <br> <br>|<br><br> <br>|
|<br>5|1586<br>1633<br>1686|1748|I1u5|1856|1901<br>194|<br>1987|
|BIRTH RATE<br>17|.6<br>15.9<br>15.6<br>1|5.6<br>1|5.2<br>1|4.6<br>1|3.9<br>13.5|13.2|
|DEATH RATE<br>10<br>|.0<br>9.3<br>9.0<br>|8.6<br>8|.8<br>8|.8<br>8|.8<br>8.6|8.6|
|RATE OFNAT.INC.<br>.|75<br>.66<br>.66<br>|.70<br>|.65<br>|.58<br>.|52<br>.48|.46|
|NET MIGRATION<br>RATE -1|.9<br>-1.3<br>-.6|.0|.0|.0|.0<br>.0|.0|
|GROUTH<br>RATE<br>.|56<br>.53<br>.60<br>|.70<br>|.65<br>.|58<br>.|52<br>.48|.46|
|TOTAL FERTILITY 2.4|30<br>2.188<br>2.098<br>2.|089<br>2.|084<br>2.|079<br>2.|075<br>2.070|2.065|
|NRR<br>1.1|43<br>1.037<br>1.000<br>1.|000<br>1.|000<br>1.|000<br>1.|000<br>1.000|1.000|
|oCO)- BOTH SEXES 71.<br> <br>|98<br>73.65<br>75.22<br>76<br> <br>|.67<br>77|.48<br>78|.32<br>79|.19<br>80.10|81.03|
|eCIS)<br>- BOTH SEXES 59.|40<br>60.60<br>61.82<br>63|.00<br>63|.65<br>64|.32<br>65.|01<br>65.74|66.49|
|IMR- BOTH SEXES<br>24<br>|.0<br>18.4<br>14.6<br>1<br> <br> <br> <br>|1.7<br>10<br> <br>|.1<br>8<br> <br>|.5<br>6<br>|.9<br>5.3|3.7|
|q(S)- BOTH SEXES .02|89<br>.0226<br>.0180<br>.0|145<br>.0|126<br>.0|108<br>.0|089<br>.0070|.0051|
|<br>DEP. RATIO<br>60.7|59.3<br>57.0<br>56.3|55.5|55.9|56.1|56.0<br>56.6|<br>57.9|
COUNTRIES, ECONOMIES, AND TERRITORIES 141 Suam ry Projection for 25-Year Periods URUGUAY

|AGE GROUP<br>1985|<br>2000|2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTALM+F<br>3008|<br>3274|378|4140|<br>4250|<br>4310|<br>4347|<br>4366|
|KALES||||||||
|0-4<br>134|<br>126|128|<br>129|<br>130|<br>130|<br>130|<br>130|
|5.9<br>143|<br>123|<br>129|<br>130|<br>130|<br>130|<br>130|<br>130|
|10-14<br>135|<br>130|<br>131|<br>130|<br>130|<br>130|<br>130|<br>130|
|15-19<br>118|<br>130|<br>132|<br>130|<br>129|<br>129|<br>130|<br>130|
|20-24<br>115|139|130|<br>128|<br>129|<br>129|<br>129|<br>129|
|25-29<br>107|<br>129|<br>124|<br>127|<br>128|<br>129|<br>129|<br>129|
|30-34<br>97|<br>111|<br>121|<br>127|<br>129|<br>129|<br>129|<br>129|
|35-39<br>89|<br>107|<br>127|<br>129|<br>129|<br>128|<br>128|<br>128|
|40-44<br>84|<br>100|<br>126|<br>129|<br>128|<br>127|<br>128|<br>128|
|45-49<br>80|<br>90|<br>134|<br>126|<br>125|<br>126|<br>127|<br>127|
|50-54<br>84|<br>82|<br>123|<br>119|<br>123|<br>125|<br>126|<br>126|
|55-59<br>78|<br>75|<br>102|<br>114|<br>121|<br>123|<br>124|<br>124|
|60-64<br>66|<br>67|<br>94|<br>116|<br>119|<br>121|<br>121|<br>121|
|65-69<br>50|<br>64|<br>81|<br>109|<br>115|<br>115|<br>116|<br>117|
|70-74<br>41|<br>52|<br>65|<br>107|<br>105|<br>107|<br>109|<br>111|
|75+<br>48|<br>62|<br>97|<br>175|<br>215|<br>238|<br>252|<br>259|
|TOTAL<br>1469|<br>1588|<br>1843|<br>2026|<br>2085|<br>2117|<br>2137|<br>2147|
|FEMALES||||||||
|0-4<br>129|<br>121|<br>122|<br>123|<br>124|<br>124|<br>124|<br>124|
|5-9<br>138|<br>118|<br>123|<br>124|<br>124|<br>124|<br>124|<br>124|
|10-14<br>129|<br>125|<br>125|<br>124|<br>124|<br>124|<br>124|<br>124|
|15-19<br>116|<br>126|<br>126|<br>124|<br>123|<br>123|<br>124|<br>124|
|20-24<br>116|<br>135|<br>125|<br>123|<br>123|<br>123|<br>124|<br>124|
|25-29<br>111|<br>125|<br>120|<br>122|<br>123|<br>124|<br>124|<br>124|
|30-34<br>99|<br>111|<br>117|<br>123|<br>124|<br>124|<br>124|<br>123|
|35-39<br>94|<br>111|<br>124|<br>125|<br>124|<br>123|<br>123|<br>123|
|40-44<br>88|<br>107|<br>124|<br>126|<br>123|<br>123|<br>123|<br>123|
|45-49<br>85|<br>95|<br>133|<br>124|<br>122|<br>122|<br>123|<br>123|
|50-54<br>87|90|122|118|<br>121|<br>122|123|<br>123|
|55-59<br>85|84|108|115|<br>121|<br>122|122|<br>122|
|60-64<br>73|79|106|120|<br>122|<br>122|122|<br>122|
|65-69<br>59|78|99|118|<br>121|<br>120|120|<br>121|
|70-74<br>54|71|85|123|117|117|118|<br>119|
|75+<br>76|110|185|282|330|356|370|377|
|TOTAL<br>1539|<br>1686|<br>1945|<br>2113|<br>2165|<br>2194|<br>2211|<br>2219|
|BIRTH RATE|16.3|14.5|12.8|12.1|11.9|11.7|11.7|
|DEATH RATE|9.4|8.7|9.3|11.0|11.3|11.4|11.5|
|NET MIGRATION<br>RATE|-1.3|.0|.0|.0|.0|.0|.0|
|GROUTH RATE|.56|.58|.36|.11|.06|.03|.02|
|TOTAL FERTILITY|2.233|2.080|2.063|2.060|2.058|2.057|2.057|
|etO)- BOTH SEXES|73.64|78.40|82.00|83.86|84.88|85.63|85.94|
|IMR- BOTH SEXES|19.1|8.6|3.3|2.5|2.2|2.0|2.0|
142 COUNTRIES, ECONOMIES, AND TERRITORIES

# VENEZUEIA

|VENEZU|EIA|||Pro|Jection (t|housands)|with NR|R=I by 2010|
|---|---|---|---|---|---|---|---|---|
|AGE GROUP|<br>1985|1990<br>1995<br>2000|2005|2010|2015|2020|202|5<br>2030|
|TOTAL M+F|17317|19738<br>22108<br>24358|26456|28367|30241|32124|3392|9<br>35587|
|MALES|||||||||
|0-4|1306|1393<br>1404<br>1377|1338|1286|1310|1360|137|1<br>1353|
|5-9|1159|1301<br>1387<br>1398|1371|1333|1282|1307|135|7<br>1368|
|10-14|1022|1157<br>1299<br>1385|1395|1368|1330|1280|130|5<br>1356|
|15-19|951|1020<br>1154<br>1294|1380|1391|<br>1364|<br>1327|<br>127|7<br>1303|
|20-24|852|950<br>1017<br>1149|1288|1373|<br>1383|<br>1357|<br>132|1<br>1272|
|25-29|727|853<br>947<br>1012|1143|1280|<br>1364|<br>1375|<br>135|0<br>1314|
|30-34|630|728<br>849<br>942|1006|1135|<br>1271|<br>1355|<br>136|7<br>1343|
|35-39|516|628<br>723<br>843|935|998|1126|<br>1262|<br>134|7<br>1359|
|40-44|383|512<br>622<br>715|834|925|988|1115|125|1<br>1336|
|45-49|302|376<br>502<br>610|701|819|909|972|109|9<br>1234|
|50-54|258|292<br>363<br>485|590|680|795|885|949|<br>1075|
|55-59|214|243<br>275<br>343|459|560|648|762|851|<br>916|
|60-64|160|195<br>221<br>251|314|422|519|606|716|<br>806|
|65-69|113|138<br>168<br>192|219|277|377|468|550|<br>657|
|70-74|75|90<br>110<br>136|157|182|232|320|401|<br>478|
|75+|81|88<br>103<br>128|163|200|240|305|415|<br>550|
|TOTAL|8751|_9St5_<br>11145<br>12260|13293|14227|15140|16055|1692|7<br>17721|
|FEMALES|||||||||
|0-4|1254|1339<br>1348<br>1320|1282|1231|1253|1300|130|9<br>1291|
|5-9|1115|1251<br>1335<br>1344|1317|1278|1228|1251|129|8<br>1307|
|10-14|985|1115<br>1250<br>1334|1343|1315|1277|1227|125|0<br>1297|
|15-19|920|985<br>1114<br>1249|1333|1341|1314|1276|122|6<br>1249|
|20-24|827|921<br>986<br>1114|1248|1330|1339|1311|127|4<br>1224|
|25-29|709|829<br>922<br>985|1113|1245|1327|1336|130|9<br>1271|
|30-34|615|710<br>829<br>921|983|1110|1242|1324|133|3<br>1306|
|35-39|502|614<br>708<br>826|918|979|1105|1237|1319|<br>1329|
|40-44|377|499<br>610<br>703|821|912|974|1099|1231|<br>1314|
|45-49|302|373<br>493<br>603|696|813|904|966|1091|<br>1223|
|50-54|259|296<br>366<br>485|594|685|801|892|954|<br>1080|
|55-59|216|251<br>288<br>356|473|580|671|786|876|<br>939|
|60-64|167|206<br>240<br>275|342|456|561|651|764|<br>855|
|65-69|124|154<br>190<br>223|258|322|431|534|623|<br>736|
|70-74|88|107<br>134<br>167|199|232|293|396|495|<br>583|
|75+<br>|108<br>|125<br>150<br>190<br> <br> <br>|246<br>|310<br>|382<br>|485<br>|650<br>|<br>861<br> <br>|
|TOTAL|8566|9774<br>10964<br>12098|13163|14139|15100|16069|1700|<br>17866|
|BIRTH RATE|<br>30|.7<br>27.3<br>23.9<br>2|1.2<br>1|8.8<br>|17.8<br>1|7.3<br>|16.4|15.3|
|DEATH RATE|<br>5|.3<br>5.1<br>4.9<br>|4.8<br>|4.9|5.0|5.2|5.5|5.8|
|RATE OF NAT|. INC.<br>2.|54<br>2.22<br>1.91<br>1|.64<br>1|.39<br>1|.28<br>1|.21<br>|1.09|.95|
|NET MIGRAT|ION<br>RATE|8<br>5<br>3|2|0|0|0|0|0|
|<br>GROWTH<br>RATE|<br> <br> <br>2.|.<br>.<br>.<br>62<br>2.27<br>1.94<br>1.|.<br>65<br>1|.<br>.39<br>1|.<br>.28<br>1|.<br>.21<br>1|.<br>.09|.<br>.95|
|TOTAL FERTI|LITY<br>3.7|70<br>3.355<br>2.924<br>2.5|49<br>2.2|22<br>2.|103<br>2.|093<br>2.|084|2.074|
|NRR|1.|745<br>1.561<br>1.370<br>1.2|01<br>1.0|52<br>1.|000<br>1.|000<br>1.|000|1.000|
|e(O)-BOT|H SEXES 69.|66<br>70.42<br>71.45<br>72.|60<br>73|.67<br>74|.78<br>75|.93<br>77|.14|78.39|
|et15)- BOT|H SEXES 58.|09<br>58.55<br>59.18<br>59.|95<br>60.|69<br>61|.47<br>62|.29<br>63|.15|64.05|
|IMR - BOTH S|EXES<br>36|.0<br>32.5<br>27.7<br>2|3.0<br>1|9.5<br>1|6.0<br>1|2.5<br>|8.9|5.4|
|qt5)-BOTH|SEXES .0|427<br>.0387<br>.0331<br>.0|278<br>.0|237<br>.|0196<br>.|0154<br>.|0113|.0072|
|<br>DEP. RATIO|<br>75.1|<br> <br> <br> <br>71.9<br>67.1<br>60.6|<br> <br>54.1|<br> <br>49.0|<br> <br>46.8|<br> <br>46.7|<br>48.1|49.9|
COUNTRIES, ECONOMIES, AND TERRITORIES 143 Surmary Projection for 25-Year Periods VENEZUELA

|AGE GROUP|1985|2000|2025|2050|2075|2100|2125|<br>2150|
|---|---|---|---|---|---|---|---|---|
|TOTAL M+F|17317|24358|33929|40554|43299|44197|44734|45004|
|MALES|||||||||
|0-4|1306|1377|1371|1348|1341|1340|1341|<br>1341|
|5-9|1159|1398|1357|1336|1337|1339|1340|<br>1340|
|10-14|1022|1385|1305|1325|1337|1341|1341|<br>1340|
|15-19|951|1294|1277|1328|1342|1342|1340|<br>1339|
|20-24|852|1149|1321|1345|1344|1339|1337|<br>1337|
|25-29|727|1012|1350|1355|1337|1332|1332|<br>1333|
|30-34|630|942|1367|1337|1321|1324|1328|<br>1330|
|35-39|516|843|1347|1280|1306|1320|1326|<br>1327|
|40-44|383|715|1251|1245|1302|1319|1322|<br>1322|
|45-49|302|610|1099|1279|1310|1315|1314|<br>1314|
|50-54|258|485|949|1288|1306|1297|1296|<br>1299|
|55-59|214|343|851|1273|1264|1261|1272|<br>1279|
|60-64|160|251|716|1207|1175|1217|1241|<br>1252|
|65-69|113|192|550|1055|1092|1169|1200|<br>1210|
|70-74|75|136|401|839|1043|1106|1134|<br>1143|
|75+|81|128|415|1225|2153|2392|2550|2637|
|TOTAL|8751|12260|16927|20065|21311|21754|22015|22145|
|FEMALES|||||||||
|0-4|1254|1320|1309|1285|1278|1278|1278|1279|
|5-9|1115|1344|1298|1274|1275|1277|1278|1278|
|10-14|985|1334|1250|1265|1275|1278|1279|1278|
|15-19|920|1249|1226|1269|1280|1280|1279|1278|
|20-24|827|1114|1274|1287|1285|1279|1277|1277|
|25-29|709|985|1309|1303|1282|1276|1276|1277|
|30-34|615|921|1333|1291|1270|1272|1275|1276|
|35-39|502|826|1319|1241|1258|1271|1275|1276|
|40-44|377|703|1231|1213|1260|1274|1275|1275|
|45-49|302|603|1091|1256|1275|1276|1273|1272|
|50-54|259|485|954|1281|1283|1269|1266|1268|
|55-59|216|356|876|1290|1262|1250|1257|1263|
|60-64|167|275|764|1257|1201|1230|1249|1257|
|65-69|124|223|623|1145|1156|1218|1242|1249|
|70-74|88|167|495|973|1165|1210|1227|1232|
|75+|108|190|650|1859|3184|3506|3712|3826|
|TOTAL|8566|12098|17002|20488|21988|22443|22719|22859|
|BIRTH RATE||27.0|18.2|14.0|12.5|12.0|11.8|11.7|
|DEATH RATE||5.1|5.1|7.0|9.9|11.2|11.3|11.5|
|NET MIGRATIO|N RATE|.5|.0|.0|.0|.0|.0|.0|
|GROWTH RATE||2.27|1.33|.71|.26|.08|.05|.02|
|TOTAL FERTI|LITY|3.314|2.197|2.070|2.063|2.060|2.058|2.057|
|e(O)**-** BOTH|SEXES|70.58|74.97|79.83|82.59|84.11|85.24|85.69|
|**IMR-** BOTH S|EXES|32.1|15.9|4.5|3.0|2.5|2.1|2.0|
144 COUNTRIES, ECONOMIES, AND TERRITORIES

# VIRGIN ISLANDS (U.S.)

|VIRGIN ISLANDS (U.S.)<br>Projection<br>(thousands)<br>withNRR=1 by 1995|
|---|
|AGE GROUP<br>1985<br>1990<br>1995<br>2000<br>2005<br>2010<br>2015<br>2020<br>2025<br>2030|
|TOTAL M+F<br>107<br>110<br>116<br>123<br>132<br>140<br>147<br>153<br>159<br>164|
|MALES|
|0-4<br>6<br>6<br>5<br>6<br>6<br>6<br>6<br>6<br>6<br>6|
|5-9<br>6<br>6<br>6<br>5<br>6<br>6<br>6<br>6<br>6<br>6|
|10-14<br>7<br>6<br>6<br>6<br>5<br>5<br>6<br>6<br>6<br>6|
|15-19<br>6<br>7<br>6<br>6<br>6<br>5<br>5<br>6<br>6<br>6|
|20-24<br>3<br>5<br>7<br>6<br>6<br>6<br>5<br>5<br>6<br>6|
|25-29<br>3<br>3<br>5<br>6<br>6<br>6<br>6<br>5<br>5<br>6|
|30-34<br>4<br>3<br>3<br>5<br>6<br>6<br>5<br>6<br>5<br>5|
|35-39<br>4<br>4<br>3<br>2<br>5<br>6<br>6<br>5<br>6<br>5|
|40-44<br>3<br>4<br>4<br>3<br>2<br>5<br>6<br>6<br>5<br>6|
|45-49<br>2<br>3<br>3<br>4<br>2<br>2<br>5<br>6<br>6<br>5|
|50-54<br>2<br>2<br>3<br>3<br>4<br>2<br>2<br>5<br>6<br>6|
|55-59<br>2<br>2<br>2<br>2<br>3<br>3<br>2<br>2<br>5<br>6|
|60-64<br>1<br>1<br>2<br>2<br>2<br>3<br>3<br>2<br>2<br>4|
|65-69<br>1<br>1<br>1<br>1<br>2<br>2<br>3<br>3<br>2<br>2|
|70-74<br>1<br>1<br>1<br>1<br>1<br>1<br>2<br>3<br>3<br>2|
|75+<br>1<br>1<br>1<br>1<br>1<br>2<br>2<br>3<br>4<br>4|
|TOTAL<br>51<br>53<br>56<br>59<br>63<br>67<br>71<br>74<br>77<br>80|
|FEMALES|
|0-4<br>6<br>6<br>5<br>5<br>6<br>6<br>6<br>5<br>5<br>5|
|5-9<br>6<br>6<br>6<br>5<br>5<br>6<br>6<br>5<br>5<br>5|
|10-14<br>7<br>6<br>5<br>5<br>5<br>5<br>6<br>6<br>5<br>5|
|15-19<br>6<br>7<br>6<br>5<br>5<br>5<br>5<br>6<br>6<br>5|
|20-24<br>4<br>5<br>7<br>6<br>5<br>5<br>5<br>5<br>6<br>6|
|25-29<br>4<br>3<br>5<br>6<br>6<br>5<br>5<br>5<br>5<br>6|
|30-34<br>5<br>4<br>3<br>5<br>6<br>6<br>5<br>5<br>5<br>5|
|35-39<br>4<br>5<br>4<br>3<br>5<br>6<br>6<br>5<br>5<br>5|
|40-44<br>3<br>4<br>5<br>4<br>3<br>5<br>6<br>6<br>5<br>5|
|45-49<br>2<br>3<br>4<br>4<br>4<br>3<br>5<br>6<br>6<br>5|
|50-54<br>2<br>2<br>3<br>4<br>4<br>3<br>3<br>5<br>6<br>6|
|55-59<br>2<br>2<br>2<br>3<br>4<br>4<br>3<br>3<br>5<br>6|
|60-64<br>1<br>2<br>2<br>2<br>3<br>4<br>4<br>3<br>3<br>5|
|65-69<br>1<br>1<br>2<br>2<br>2<br>3<br>4<br>4<br>3<br>3|
|70-74<br>1<br>1<br>1<br>2<br>2<br>2<br>3<br>3<br>4<br>3|
|75+<br>1<br>1<br>1<br>2<br>3<br>3<br>4<br>5<br>6<br>8<br>|
|TOTAL<br>56<br>58<br>60<br>64<br>68<br>72<br>76<br>79<br>82<br>85|
|BIRTH RATE<br>22.3<br>18.5<br>18.4<br>18.3<br>17.3<br>15.9<br>14.6<br>14.0<br>13.7|
|DEATH RATE<br>5.0<br>4.9<br>4.9<br>5.0<br>5.4<br>5.7<br>6.1<br>6.6<br>7.3|
|RATE OF NAT. INC.<br>1.73<br>1.37<br>1.35<br>1.33<br>1.19<br>1.02<br>.86<br>.74<br>.65|
|NET MIGRATION<br>RATE -11.0<br>-3.5<br>-1.7<br>.0<br>.0<br>.0<br>.0<br>.0<br>.0|
|GROWTH RATE<br>.62<br>1.01<br>1.18<br>1.33<br>1.19<br>1.02<br>.86<br>.74<br>.65|
|TOTAL FERTILITY 2.580<br>2.225<br>2.097<br>2.090<br>2.084<br>2.079<br>2.074<br>2.069<br>2.064|
|NRR<br>1.221<br>1.057<br>1.000<br>1.000<br>1.000<br>1.000<br>1.000<br>1.000<br>1.000|
|eCO)- BOTH SEXES 73.05<br>74.78<br>76.34<br>77.75<br>78.49<br>79.25<br>80.03<br>80.83<br>81.65|
|e(15)- BOTH SEXES 60.04<br>61.54<br>62.85<br>64.05<br>64.62<br>65.20<br>65.80<br>66.43<br>67.07|
|IMR- BOTH SEXES<br>19.4<br>16.7<br>14.0<br>11.6<br>10.0<br>8.3<br>6.7<br>5.0<br>3.4<br> <br> <br>|
|q(5)- BOTH SEXES .0237<br>.0204<br>.0172<br>.0144<br>.0124<br>.0105<br>.0086<br>.0066<br>.0047|
|<br>DEP. RATIO<br>68.4<br>59.3<br>52.6<br>49.8<br>48.7<br>50.9<br>53.4<br>54.9<br>52.7<br>50.5|
COUNTRIES, ECONOMIES. AND TERRITORIES 145 Snmary Projection for 25-Year Periods VIRGIN ISLANDS (U.S.)

|AGE GROUP<br>1985|<br>2000|<br>2025|<br>2050|<br>2075|<br>2100|<br>2125|<br>2150|
|---|---|---|---|---|---|---|---|
|TOTAL M+F<br>107|<br>123|<br>159|<br>181|<br>187|<br>189|<br>191|<br>192|
|MALES||||||||
|0-4<br>6|6|6|6|6|<br>6|6|6|
|5-9<br>6|5|6|6|6|6|6|6|
|10-14<br>7|6|6|6|6|6|6|6|
|15-19<br>6|6|6|6|6|6|6|6|
|20-24<br>3|6|6|6|6|6|6|6|
|25-29<br>3|6|5|6|6|6|6|6|
|30-34<br>4|5|5|6|6|6|6|6|
|35-39<br>4|2|6|6|6|6|6|6|
|40-44<br>3|3|5|6|6|6|6|6|
|45-49<br>2|4|6|6|6|6|6|6|
|50-54<br>2|<br>3|6|5|5|5|6|6|
|55-59<br>2|2|5|5|5|5|5|5|
|60-64<br>1|2|2|5|5|5|5|5|
|65-69<br>1|1|2|5|5|5|5|5|
|70-74<br>1|1|3|5|5|5|5|5|
|75+<br>1|1|4|8|10|<br>11|11|11|
|TOTAL<br>51|<br>59|77|89|92|93|94|94|
|FEMALES||||||||
|0-4<br>6<br> <br>|5|5|5|5|5|5|5|
|5-9<br>6|5|5|5|5|5|5|5|
|10-14<br>7|5|5|5|5|5|5|5|
|15-19<br>6|5|6|5|5|5|5|5|
|20-24<br>4|6|6|5|5|5|5|5|
|25-29<br>4|6|5|5|5|5|5|5|
|30-34<br>5|5|5|5|5|5|5|5|
|35-39<br>4|3|5|5|5|5|5|5|
|40-44<br>3|4|5|6|5|5|5|5|
|45-49<br>2|4|6|6|5|5|5|5|
|50-54<br>2|4|6|5|5|5|5|5|
|55-59<br>2|3|5|5|5|5|5|5|
|60-64<br>1|2|3|5|5|5|5|5|
|65-69<br>1|2|3|5|5|5|5|5|
|70-74<br>1|2|4|5|5|5|5|5|
|75+<br>1<br>|2<br>|6<br>|12<br>|14<br>|15|16<br>|16|
|TOTAL<br>56|64|82|92|95|96|<br>97|97|
|BIRTH RATE|19.7|15.9|13.1|12.1|11.8|11.7|11.7|
|DEATH RATE|4.9|5.8|8.0|10.9|11.3|11.4|11.5|
|NET MIGRATION<br>RATE|-5.3|.0|.0|.0|.0|.0|.0|
|GROWTH RATE|.94|1.03|.51|.12|.05|.03|.02|
|TOTAL FERTILITY|2.294|2.080|2.063|2.060|2.058|2.057|2.057|
|e(0)- BOTH SEXES|74.77|79.35|82.52|84.16|85.06|85.72|86.00|
|IMR**-** BOTH SEXES|16.8|8.4|3.0|2.4|2.2|2.0|1.9|
# Policy Research Working Paper Series

|Title|Author|Date|Contact<br>for paper|
|---|---|---|---|
|WPS1 019 How Effective are Directed Credit<br>Policies in the United States?<br>A Literature Survey|Anita M. Schwarz|November 1992|M. Raggambi<br>37664|
|WPS1020 Another Look at Population and<br>and Global Warming|Nancy Birdsall|November 1992|S. Rothschild<br>37460|
|WPS1021 Measuring Welfare Changes from<br>Commodity Price Stabilization in<br>Small Open Economies|Jonathan R. Coleman<br>Chris Jones|November 1992|D. Gustafson<br>33714|
|WPS1022 A New Approach to Evaluating Trade<br>Policy|James E. Anderson<br>J. Peter Neary|November 1992|M. T. Sanchez<br>33731|
|WPS1023 Tariff Index Theory|James E. Anderson|November 1992|M. T. Sanchez<br>33731|
|WPS1024 An Exact Approach for Evaluating<br>the Benefits from Technological<br>Change|Will Martin<br>Julian M. Alston|November 1992|D. Gustafson<br>33714|
|WPS1025 Openness and Economic<br>Performance in Sub-Saharan Africa:<br>Evidence from lime-Series Cross-<br>Country Analysis|Kazi M. Matin|November 1992|D. Ballantyne<br>38004|
|WPS1026 Financial Liberalization and<br>Adjustment in Chile and New Zealand|Paul D. McNelis<br>Klaus Schmidt-Hebbel|November 1992|A. Maraflon<br>31450|
|WPS1027 Lessons from Bank Privatization<br>in Mexico|Guillermo Bames|November 1992|W. Pitayatonakarn<br>37664|
|WPS1028 Socioeconomic and Ethnic<br>Determinants of Grade Repetition<br>in Bolivia and Guatemala|Harry Anthony Patrinos<br>George Psacharopoulos|November 1992<br>|L Longo<br>39244|
|WPS1 029 Controlling Tropical Deforestation:<br>An Analysis of Alternative Policies|Robert T. Deacon|November 1992|P. Pender<br>37851|
|WPS1030 Measuring the Effects of Urban<br>Transportation Policies on the<br>Environment: A Survey of Models|Alan J. Krupnick|November 1992|P. Pender<br>37851|
|WPS1031 Measuring the Possibilities of<br>Interfuel Substitution|Robert Bacon|November 1992|P. Pender<br>37851|
|WPS1032 East Asia and Pacific Region,<br>South Asia Region Population<br>Projections. 1992-93 Edition|Eduard Bos<br>My T. Vu<br>Ann Levin|November 1992|0. Nadora<br>31091|
# Policy Research Working Paper Series

|Title|Author|Date|Contact<br>for paper|
|---|---|---|---|
|WPS1<br>033 Latin Americ**a**nd the Caribbean<br>Region (and Northern<br>America)<br>Population<br>Projections,<br>1992-93<br>Edition|My T. Vu<br>Eduard Bos<br>Ann Levin|November<br>1992|0. Nadora<br>31091|