World Population Prospects

 

I. Assumptions underlying the results of the 2006 revision of World Population Prospects

A. Fertility assumptions: convergence toward total fertility below replacement level

            B. Mortality assumptions: increasing life expectancy except when affected by HIV/AIDS

            C. International migration assumptions

D. Eleven Projections Variants

E. Methodological Changes Introduced in the 2006 Revision

 

 

II. Definition of major areas and regions

Africa

Asia

Europe

Latin America and Caribbean

Northern America

Oceania

Least developed countries 

Sub-Saharan Africa

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

I. Assumptions underlying the results of the 2006 revision of World Population Prospects

 

The preparation of each new revision of the official population estimates and projections of the United Nations involves two distinct processes: (a) the incorporation of all new and relevant information regarding the past demographic dynamics of the population of each country or area of the world; and (b) the formulation of detailed assumptions about the future paths of fertility, mortality and international migration. The data sources used and the methods applied in revising past estimates of demographic indicators (i.e., those referring to 1950-2005) are presented in volume III of World Population Prospects: The 2006 Revision (forthcoming).


The future population of each country is projected starting with an estimated population for 1 July 2005. Because population data are not necessarily available for that date, the 2005 estimate is derived from the most recent population data available for each country, obtained usually from a population census or a population register, projected to 2005 using all available data on fertility, mortality and international migration trends between the reference date of the population data available and 1 July 2005. In cases where recent data on the components of population growth are not available, estimated demographic trends are projections based on the most recent available data. Population data from all sources are evaluated for completeness, accuracy and consistency, and adjusted as necessary1.


To project the population until 2050, the United Nations Population Division uses assumptions regarding future trends in fertility, mortality and international migration. Because future trends cannot be known with certainty, a number of projection variants are produced. The following paragraphs summarize the main assumptions underlying the derivation of demographic indicators for the period starting in 2005 and ending in 2050.


The 2006 Revision includes eight projection variants and three AIDS scenarios. The eight variants are: low; medium; high; constant-fertility; instant-replacement-fertility; constant-mortality; no change (constant-fertility and constant-mortality); and zero-migration. The World Population Prospects Highlights focuses on the medium variant of the 2006 Revision, and results from the first four variants are available on-line and are published in volume I of World Population Prospects (forthcoming). The full set of results for all variants and scenarios are available only on CD-ROM.


The first five variants, namely, the low, medium, high, constant-fertility and instant-replacement-fertility, differ among themselves exclusively in the assumptions made regarding the future path of fertility. The sixth variant, named “constant-mortality”, differs from the medium variant only with regard to the path followed by future mortality. The seventh variant, denominated “no change”, has constant mortality and constant fertility and thus differs from the medium variant with respect to both fertility and mortality. The eight variant, denominated “zero-migration”, differs from the medium variant only with regard to the path followed by future international migration. Generally, variants differ from each other only over the period 2005-2050.


In addition, the 2006 Revision includes three AIDS scenarios named No-AIDS, high-AIDS and AIDS-vaccine. These scenarios are variations of the medium variant and differ from each other and from the medium variant in terms of the path mortality follows because they each incorporate different assumptions regarding the course of the HIV/AIDS epidemic. Note that only 62 countries are considered to be significantly affected by the epidemic. Consequently, the AIDS scenarios produce different projections only for those countries.


To describe the different projection variants and scenarios, the various assumptions made regarding fertility, mortality and international migration are presented below.

 

A. Fertility assumptions: convergence toward total fertility below replacement level

The fertility assumptions are described in terms of the following groups of countries:

·         High-fertility countries: Countries that until 2005 had no fertility reduction or only an incipient decline;

·         Medium-fertility countries: Countries where fertility has been declining but whose level was still above 2.1 children per woman in 2000-2005;

·         Low-fertility countries: Countries with total fertility at or below 2.1 children per woman in 2000-2005.

 

1. Medium-fertility assumption:

Total fertility in all countries is assumed to converge eventually toward a level of 1.85 children per woman. However, not all countries reach this level during the projection period, that is, by 2045-2050. Projection procedures differ slightly depending on whether a country had a total fertility above or below 1.85 children per woman in 2000-2005.

·         Total fertility in all countries is assumed to converge eventually toward a level of 1.85 children per woman. However, not all countries reach this level during the projection period, that is, by 2045-2050. Projection procedures differ slightly depending on whether a country had a total fertility above or below 1.85 children per woman in 2000-2005.

Fertility in high- and medium-fertility countries is assumed to follow a path derived from models of fertility decline established by the United Nations Population Division on the basis of the past experience of all countries with declining fertility during 1950-2000. The models relate the level of total fertility during a period to the average expected decline in total fertility during the next period. If the total fertility projected by a model for a country falls to 1.85 children per woman before 2050, total fertility is held constant at that level for the remainder of the projection period (that is, until 2050). Therefore, the level of 1.85 children per woman represents a floor value below which the total fertility of high- and medium-fertility countries is not allowed to drop before 2050. However, it is not necessary for all countries to reach the floor value by 2050. If the model of fertility change produces a total fertility above 1.85 children per woman for 2045-2050, that value is used in projecting the population.

In all cases, the projected fertility paths yielded by the models are checked against recent trends in fertility for each country. When a country’s recent fertility trends deviate considerably from those consistent with the models, fertility is projected over an initial period of 5 or 10 years in such a way that it follows recent experience. The model projection takes over after that transition period. For instance, in countries where fertility has stalled or where there is no evidence of fertility decline, fertility is projected to remain constant for several more years before a declining path sets in.

·         Fertility in low-fertility countries is generally assumed to remain below 2.1 children per woman during most of the projection period and reach 1.85 children per woman by 2045-2050. For countries where total fertility was below 1.85 children per woman in 2000-2005, it is assumed that over the first 5 or 10 years of the projection period fertility will follow the recently observed trends in each country. After that transition period, fertility is assumed to increase linearly at a rate of 0.05 children per woman per quinquennium. Thus, countries whose fertility is currently very low need not reach a level of 1.85 children per woman by 2050.

 

2. High-fertility assumption:

·         Under the high variant, fertility is projected to remain 0.5 children above the fertility in the medium variant over most of the projection period. By 2045-2050, fertility in the high variant is therefore half a child higher than that of the medium variant. That is, countries reaching a total fertility of 1.85 children per woman in the medium variant have a total fertility of 2.35 children per woman in the high variant at the end of the projection period.

 

3. Low-fertility assumption:

·         Under the low variant, fertility is projected to remain 0.5 children below the fertility in the medium variant over most of the projection period. By 2045-2050, fertility in the low variant is therefore half a child lower than that of the medium variant. That is, countries reaching a total fertility of 1.85 children per woman in the medium variant have a total fertility of 1.35 children per woman in the low variant at the end of the projection period.

 

4. Constant-fertility assumption:

·         For each country, fertility remains constant at the level estimated for 2000-2005.

 

5. Instant-replacement-fertility assumption:

·         For each country, fertility is set to the level necessary to ensure a net reproduction rate of 1 starting in 2005-2010. Fertility varies over the rest of the projection period in such a way that the net reproduction rate always remains equal to unity thus ensuring, over the long-run, the replacement of the population.

 

B. Mortality assumptions: increasing life expectancy except when affected by HIV/AIDS

 

1. Normal mortality assumption:

·         Mortality is projected on the basis of models of change of life expectancy produced by the United Nations Population Division. These models produce smaller gains the higher the life expectancy already reached. The selection of a model for each country is based on recent trends in life expectancy by sex. For countries highly affected by the HIV/AIDS epidemic, the model incorporating a slow pace of mortality decline has generally been used to project a certain slowdown in the reduction of general mortality risks not related to HIV/AIDS.

 

2. The impact of HIV/AIDS on mortality:

·         In the 2006 Revision, all countries with HIV prevalence among persons aged 15 to 49 equal to or greater than one per cent are considered as seriously affected by the HIV/AIDS epidemic and their mortality is projected by modelling explicitly the course of the epidemic and projecting the yearly incidence of HIV infection. Also considered among the affected countries are those where HIV prevalence is lower than one per cent but whose population is so large that the number of individuals infected is large, such as Brazil, China or the United States. In total, 62 countries are considered to be highly affected by the HIV/AIDS epidemic in the 2006 Revision.

·         The model developed by the UNAIDS Reference Group on Estimates, Modelling and Projections2 is used to fit past estimates of HIV prevalence provided by UNAIDS for each of the affected countries so as to derive the parameters determining the past dynamics of the epidemic for each of them. For most countries, the model is fitted assuming that the relevant parameters have remained constant in the past. Beginning in 2005, the parameter PHI, which reflects the rate of recruitment of new individuals into the high-risk or susceptible group, is projected to decline by half every twenty years. The parameter R, which represents the force of infection, is projected to decline by half every thirty years. The reduction in R reflects the assumption that changes in behaviour among those subject to the risk of infection, along with increases in access to treatment for those infected, will reduce the chances of transmitting the virus.

·         In the 2006 Revision, prevention of mother-to-child transmission is modelled using estimated country-specific coverage rates that average 13 per cent in 2005 among the 62 affected countries, but vary between 0 and 90 per cent among them. These coverage rates are projected to reach 60 per cent, on average, by 2015, varying between 40 per cent and 100 per cent among the affected countries3. The coverage rate is assumed to remain constant between 2015 and 2050 at the level reached by 2015 in each of the affected countries. Among women receiving treatment, the probability of transmission from mother to child is assumed to be 1 per cent. These assumptions produce a reduction in the incidence of HIV infection among children born to HIV-positive women, but the size of the reduction varies from country to country depending on the level of coverage that treatment reaches in each of them4.

·         The survivorship of infected children2 takes account of varying access to paediatric treatment.4 In the 2006 Revision, HIV-infected children are divided into two groups: (i) for those infected in-utero, among whom the disease progresses rapidly, average survival is expected to be 1.3 years, and (ii) for those infected after birth through breastfeeding, among whom the disease progresses slowly, average survival is 14 years without treatment.45, Explicit inclusion of paediatric treatment is done via country-specific coverage rates which average 9 per cent in 2005 but vary between 0 and 99 per cent among the 62 affected countries. By 2015, the projected coverage is expected to reach 60 per cent, on average, varying from 40 per cent to 100 per cent among the affected countries.3 Coverage levels remain constant from 2015 to 2050 at the level reached in each country by 2015. The annual survival of children receiving treatment is 95 per cent, so that their mean survival time is 19.5 years and the median survival time is 13.5 years in the absence of other causes of death.4

 

·         The 2006 Revision incorporates a longer survival for persons receiving treatment with highly active antiretroviral therapy (ART). The proportion of the HIV-positive population receiving treatment in each country is consistent with estimates prepared by the World Health Organization, which averaged 25 per cent in 2005 but varied between 0 and 100 per cent among the 62 affected countries. Coverage is projected to reach between 40 per cent and 100 per cent by 2015, averaging 60 per cent for the affected countries. Between 2015 and 2050, coverage levels remain constant at the level reached in each country by 2015. It is assumed that adults receiving treatment have, on average, a 90 per cent chance of surviving each year in the absence of other causes of death. Under this assumption, mean survival time after the initiation of therapy is 9.5 years and the median survival time is 6.6 years, in the absence of other causes of death. Therapy is assumed to start at the time full-blown AIDS develops. Without treatment, infected adults have a mean survival time of two years after the onset of full-blown AIDS.5

 

3. No-AIDS assumption:

·         For each of the 62 countries for which the impact of HIV/AIDS has been taken into account, mortality is estimated and projected by applying the mortality levels likely to be exhibited by the non-infected population to the whole population, thus excluding the direct impacts of the epidemic. Because AIDS started affecting the populations in the majority of the highly-affected countries around 1980, the results of the No-AIDS scenario differ from those of the medium variant not only during the projection period (2005-2050) but also during part of the estimation period (mainly during 1980-2005). As mentioned above, in countries highly affected by the HIV/AIDS epidemic, the slow pace of mortality decline has generally been used to project the reduction of mortality risks not related to HIV/AIDS.

 

4. High-AIDS assumption:

·         Mortality in the high-AIDS scenario is projected by assuming that the parameters of the model determining the path of the HIV/AIDS epidemic, specifically PHI and R, remain constant at their 2005 level. This assumption produces in the long run a relatively high endemic level of the disease. In contrast with the medium variant which includes the effect of AIDS, the effect of treatment is not incorporated in the high-AIDS scenario.

 

5. AIDS-vaccine assumption:

·         The so-called AIDS-vaccine assumption refers to the ideal case in which a perfectly effective vaccine against HIV would be instantly available to everyone by 2010. Under this assumption, mortality is projected by assuming that no new HIV infections occur as of 2010. In terms of modelling, this assumption is equivalent to making the force of infection parameter R become zero in 2010 and remain at that level over the rest of the projection period.

 

6. Constant-mortality assumption:

·         Under this assumption, mortality is maintained constant in each country at the level estimated for 2000-2005.

 

C. International migration assumptions

 

1. Normal-migration assumption:

·         Under the normal migration assumption, the future path of international migration is set on the basis of past international migration estimates and consideration of the policy stance of each country with regard to future international migration flows. Projected levels of net migration are generally kept constant over most of the projection period.

 

Zero-migration assumption:

·         Under this assumption, for each country, international migration is set to zero starting in 2005-2010.

 

D. Eleven Projections Variants

 

The 2006 Revision includes eleven different projection variants or scenarios (table 1). Five of those variants differ among themselves only with respect to the level of fertility in each, that is, they share the assumptions made with respect to mortality and international migration. The five fertility variants are: low, medium, high, constant-fertility and instant-replacement fertility. A comparison of their results allows an assessment of the effects that different fertility paths have on other demographic parameters.

 

In addition to the five fertility variants, a constant-mortality variant, a zero-migration variant and a no change variant (constant-fertility and constant-mortality) have been prepared. The constant-mortality variant and the zero-migration variant both have the same fertility assumption (i.e. medium fertility). Furthermore, the constant-mortality variant has the same international migration assumption as the medium variant. Consequently, the results of the constant-mortality variant can be compared with those of the medium variant to assess the effect that changing mortality has on other demographic parameters. Similarly, the zero-migration variant differs from the medium variant only with respect to the underlying assumption regarding international migration. Therefore, the zero-migration variant allows an assessment of the effect that non-zero net migration has on other demographic parameters. Lastly, the no change variant has the same international migration as the medium variant but differs from the latter by having constant fertility and constant mortality. When compared to the medium variant, therefore, its results shed light on the effects that changing fertility and mortality have on the results obtained.

 

Lastly, as part of the modelling of the HIV/AIDS epidemic and to evaluate its demographic impact, three AIDS mortality scenarios have been computed. They all share the same fertility and international migration assumptions as the medium variant. Consequently, the results of the AIDS mortality scenarios can be compared with those of the medium variant to assess the impact of HIV/AIDS and the effect of changing mortality, respectively, on other demographic parameters. The AIDS scenarios are hypothetical and serve only as a basis for comparison.

 

Table 1. Projection variants or scenarios in terms of assumptions for fertility, mortality and international migration

 

Assumptions

Projection variant 

 Fertility

 Mortality

 International migration

 

 

 

 

Low

Low

Normal*

Normal

Medium

Medium

Normal*

Normal

High

High

Normal*

Normal

Constant-fertility

Constant as of 2000-2005

Normal*

Normal

Instant-replacement-fertility

Instant-Replacement

Normal*

Normal

Constant-mortality

Medium

Constant as of 2000-2005

Normal

No-change

Constant as of 2000-2005

Constant as of 2000-2005

Normal

Zero-migration

Medium

Normal*

Zero

No-AIDS

Medium

No-AIDS since 1980

Normal

High-AIDS

Medium

High-AIDS as of 2005

Normal

AIDS-Vaccine

Medium

AIDS-Vaccine as of 2010

Normal

* Including the impact of HIV/AIDS in 62 countries, as described in section B.2.

 

E. Methodological Changes Introduced in the 2006 Revision

 

The following changes and adjustments were made in the 2006 Revision in relation to procedures followed in the 2004 Revision.

    • In the medium variant, the fertility of countries with a total fertility below 1.85 children per woman in 2000-2005 is projected first by continuing recent trends and then by increasing fertility linearly by 0.05 children per woman per quinquennium instead of an increase of 0.07 children as in the 2004 Revision. These countries do not necessarily reach a level of 1.85 children per woman by 2045-2050. 
    • The models of the incidence of HIV infection by age have been modified. In the new models, mean age at infection is generally higher than in the models used in previous revisions, particularly for males. A delay in contracting the disease reduces the impact of AIDS-related mortality on life expectancy.
    • The survival of HIV-positive children was raised with respect to previously used models not only for those receiving treatment but also for those living without treatment.
    • For HIV-positive adults receiving ART, survival after becoming infected was also increased in relation to previously used models.
    • The effects of receiving ART have been modelled explicitly among both children and adults. In addition, the effects of mother-to-child transmission are projected to decline as access to treatment among women expands.

 


1 For a general description of the procedures used in revising estimates of population dynamics, see "Chapter VI. Methodology of the United Nations population estimates and projections" (pp. 100-104) in World Population Prospects: The 2004 Revision, Volume III: Analytical Report.

2 "Improved methods and assumptions for estimation of the HIV/AIDS epidemic and its impact: Recommendations of the UNAIDS Reference Group on Estimates, Modelling and Projections". AIDS, vol. 16, pp. W1-W14 (UNAIDS Reference Group on Estimates, Modelling and Projections, 2002).

3 UNAIDS, UNICEF, WHO (2007). Children and AIDS - A Stocktaking Report. Actions and progress during the first year of Unite for Children, Unite against AIDS (with Statistical Annexes). See "Table 1. Preventing mother-to-child transmission of HIV" (pp. 29-31) and "Table 2. Providing paediatric treatment" (pp. 32-34) - URL: www.unicef.org/uniteforchildren.

4 Stover, J., N. Walker, N.C. Grassly, and M. Marston. 2006. "Projecting the demographic impact of AIDS and the number of people in need of treatment: updates to the Spectrum projection package." Sexually transmitted infections 82 Suppl 3:iii45-50.

5 Boerma, J.T., K.A. Stanecki, M.L. Newell, C. Luo, M. Beusenberg, G.P. Garnett, K. Little, J.G. Calleja, S. Crowley, J.Y. Kim, E. Zaniewski, N. Walker, J. Stover, and P.D. Ghys. 2006. "Monitoring the scale-up of antiretroviral therapy programmes: methods to estimate coverage." Bulletin of the World Health Organization 84(2):145-150.

6 World Health Organization and UNAIDS (2006). Progress on Global Access to HIV Antiretroviral Therapy. A Report on "3 by 5" and Beyond. March 2006. See "Annex 1. Estimated number of people receiving antiretroviral therapy, people needing antiretroviral therapy, percentage coverage and numbers of antiretroviral therapy sites in low- and middle-income countries" (pp. 71-76).

 

 

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II. Definition of major areas and regions

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

II. Definition of major areas and regions

 

NOTES:

Countries or areas with a population of less than 100,000 in 2007 are indicated by an asterisk (*).


The designations employed and the material in this publication do not imply the expression of any opinion whatsoever on the part of the Secretariat of the United Nations concerning the legal status of any country, territory or area or its authorities, or concerning the delimitation of its frontiers or boundaries. The designation "more developed" and "less developed" regions are intended for statistical convenience and do not necessarily express a judgment about the stage reached by a particular country or area in the development process. The term "country" as used in this publication also refers, as appropriate, to territories or areas.


More developed regions: They comprise all regions of Europe plus Northern America, Australia/New Zealand and Japan (see definition of regions).


Less developed regions: They comprise all regions of Africa, Asia (excluding Japan), Latin America and the Caribbean plus Melanesia, Micronesia and Polynesia (see definition of regions).


Least developed countries: The group of least developed countries, as defined by the United Nations General Assembly in 2003, comprises 50 countries, of which 34 are in Africa, 10 in Asia, 1 in Latin America and the Caribbean, and 5 in Oceania.  The group includes 50 countries - Afghanistan, Angola, Bangladesh, Benin, Bhutan, Burkina Faso, Burundi, Cambodia, Cape Verde, Central African Republic, Chad, Comoros, Democratic Republic of the Congo, Djibouti, Equatorial Guinea, Eritrea, Ethiopia, Gambia, Guinea, Guinea-Bissau, Haiti, Kiribati, Lao People's Democratic Republic, Lesotho, Liberia, Madagascar, Malawi, Maldives, Mali, Mauritania, Mozambique, Myanmar, Nepal, Niger, Rwanda, Samoa, São Tomé and Príncipe, Senegal, Sierra Leone, Solomon Islands, Somalia, Sudan, Timor-Leste, Togo, Tuvalu, Uganda, United Republic of Tanzania, Vanuatu, Yemen and Zambia. These countries are also included in the less developed regions.

 

Africa

 

Eastern Africa

Burundi

 

 

Comoros [1]

 

 

Djibouti

 

 

Eritrea

 

 

Ethiopia

 

 

Kenya

 

 

Madagascar

 

 

Malawi

 

 

Mauritius [2]

 

 

Mozambique

 

 

Réunion

 

 

Rwanda

 

 

Seychelles*

 

 

Somalia

 

 

Uganda

 

 

United Republic of Tanzania

 

 

Zambia

 

 

Zimbabwe

 

 

 

 

 

Middle Africa

Angola

 

 

Cameroon

 

 

Central African Republic

 

 

Chad

 

 

Congo

 

 

Democratic Republic of the Congo

 

Equatorial Guinea

 

 

Gabon

 

 

São Tomé and Príncipe

 

 

 

 

 

Northern Africa

Algeria

 

 

Egypt

 

 

Libyan Arab Jamahiriya

 

 

Morocco

 

 

Sudan

 

 

Tunisia

 

 

Western Sahara

 

 

 

 

 

Southern Africa

Botswana

 

 

Lesotho

 

 

Namibia

 

 

South Africa

 

 

Swaziland

 

 

 

 

 

Western Africa

Benin

 

 

Burkina Faso

 

 

Cape Verde

 

 

Côte d’Ivoire

 

 

Gambia

 

 

Ghana

 

 

Guinea

 

 

Guinea-Bissau

 

 

Liberia

 

 

Mali

 

 

Mauritania

 

 

Niger

 

 

Nigeria

 

 

St. Helena [3] *

 

 

Senegal

 

 

Sierra Leone

 

 

Togo

 

 

Asia

 

Eastern Asia

China [4]

 

China, Hong Kong SAR [5]

 

China, Macao SAR [6]

 

Democratic People’s Republic of Korea

 

Japan

 

Mongolia

 

Republic of Korea

 

 

 

South-central Asia [7]

Afghanistan

 

Bangladesh

 

Bhutan

 

India

 

Iran (Islamic Republic of)

 

Kazakhstan

 

Kyrgyzstan

 

Maldives

 

Nepal

 

Pakistan

 

Sri Lanka

 

Tajikistan

 

Turkmenistan

 

Uzbekistan

 

 

 

South-eastern Asia

Brunei Darussalam

 

Cambodia

 

Indonesia

 

Lao People’s Democratic Republic

 

Malaysia

 

Myanmar

 

Philippines

 

Singapore

 

Timor-Leste

 

Thailand

 

Viet Nam

 

 

 

Western Asia

Armenia

 

Azerbaijan

 

Bahrain

 

Cyprus

 

Georgia

 

Iraq

 

Israel

 

Jordan

 

Kuwait

 

Lebanon

 

Occupied Palestinian Territory

 

Oman

 

Qatar

 

Saudi Arabia

 

Syrian Arab Republic

 

Turkey

 

United Arab Emirates

 

Yemen

 

Europe

 

Eastern Europe

Belarus

 

Bulgaria

 

Czech Republic

 

Hungary

 

Poland

 

Republic of Moldova

 

Romania

 

Russian Federation

 

Slovakia

 

Ukraine

 

 

 

Northern Europe

Channel Islands [8]

 

Denmark

 

Estonia

 

Faeroe Islands*

 

Finland [9]

 

Iceland

 

Ireland

 

Isle of Man*

 

Latvia

 

Lithuania

 

Norway [10]

 

Sweden

 

United Kingdom of Great Britain and Northern Ireland [11]

 

 

 

Southern Europe

Albania

 

Andorra*

 

Bosnia and Herzegovina

 

Croatia

 

Gibraltar*

 

Greece

 

Holy See [12] *

 

Italy

 

Malta

 

Montenegro

 

Portugal

 

San Marino*

 

Serbia

 

Slovenia

 

Spain

 

The former Yugoslav Republic of Macedonia [13]

 

 

 

Western Europe

Austria

 

Belgium

 

France

 

Germany

 

Liechtenstein*

 

Luxembourg

 

Monaco*

 

Netherlands

 

Switzerland

 

Latin America and the Caribbean

 

Caribbean

Anguilla*

 

Antigua and Barbuda*

 

Aruba

 

Bahamas

 

Barbados

 

British Virgin Islands*

 

Cayman Islands*

 

Cuba

 

Dominica*

 

Dominican Republic

 

Grenada

 

Guadeloupe

 

Haiti

 

Jamaica

 

Martinique

 

Montserrat*

 

Netherlands Antilles

 

Puerto Rico

 

Saint Kitts and Nevis*

 

Saint Lucia

 

Saint Vincent and the Grenadines

 

Trinidad and Tobago

 

Turks and Caicos Islands*

 

United States Virgin Islands

 

 

 

Central America

Belize

 

Costa Rica

 

El Salvador

 

Guatemala

 

Honduras

 

Mexico

 

Nicaragua

 

Panama

 

 

 

South America

Argentina

 

Bolivia

 

Brazil

 

Chile

 

Colombia

 

Ecuador

 

Falkland Islands (Malvinas)*

 

French Guiana

 

Guyana

 

Paraguay

 

Peru

 

Suriname

 

Uruguay

 

Venezuela

 

Northern America    

 

Bermuda*

 

Canada

 

Greenland*

 

Saint-Pierre-et-Miquelon*

 

United States of America

 

Oceania

 

Australia/New Zealand

Australia [14]

 

New Zealand

 

 

 

Melanesia

Fiji

 

New Caledonia

 

Papua New Guinea

 

Solomon Islands

 

Vanuatu

 

 

 

Micronesia

Guam

 

Kiribati*

 

Marshall Islands*

 

Micronesia (Federated States of)

 

Nauru*

 

Northern Mariana Islands*

 

Palau*

 

 

 

Polynesia

American Samoa*

 

Cook Islands*

 

French Polynesia

 

Niue*

 

Pitcairn*

 

Samoa

 

Tokelau*

 

Tonga

 

Tuvalu*

 

Wallis and Futuna Islands*

 

Least developed countries

 

Afghanistan

Malawi

 

Angola

Maldives

 

Bangladesh

Mali

 

Benin

Mauritania

 

Bhutan

Mozambique

 

Burkina Faso

Myanmar

 

Burundi

Nepal

 

Cambodia

Niger

 

Cape Verde

Rwanda

 

Central African Republic

Samoa

 

Chad

São Tomé and Príncipe

 

Comoros

Senegal

 

Democratic Republic of the Congo

Sierra Leone

 

Djibouti

Solomon Islands

 

Equatorial Guinea

Somalia

 

Eritrea

Sudan

 

Ethiopia

Timor-Leste

 

Gambia

Togo

 

Guinea

Tuvalu

 

Guinea-Bissau

Uganda

 

Haiti

United Republic of Tanzania

 

Kiribati

Vanuatu

 

Lao People's Democratic Republic

Yemen

 

Lesotho

Zambia

 

Liberia

Madagascar

 

 

 

 

Sub-Saharan Africa

 

Angola

Madagascar

 

Benin

Malawi

 

Botswana

Mali

 

Burkina Faso

Mauritania

 

Burundi

Mauritius

 

Cameroon

Mozambique

 

Cape Verde

Namibia

 

Central African Republic 

Niger

 

Chad

Nigeria

 

Comoros

Réunion

 

Congo

Rwanda

 

Côte d'Ivoire

Saint Helena

 

Democratic Republic of the Congo

São Tomé and Príncipe

 

Djibouti

Senegal

 

Equatorial Guinea

Seychelles

 

Eritrea

Sierra Leone

 

Ethiopia

Somalia

 

Gabon

South Africa

 

Gambia

Sudan

 

Ghana

Swaziland

 

Guinea

Togo

 

Guinea-Bissau

Uganda

 

Kenya

United Republic of Tanzania

 

Lesotho

Zambia

 

Liberia

Zimbabwe

 

 


[1] Including the island of Mayotte.

[2] Including the islands of Agalega, Rodrigues, and Saint Brandon.

[3] Including the islands of Ascension, and Tristan da Cunha.

[4] For statistical purposes, the data for China do not include Hong Kong and Macao, Special Administrative Regions (SAR) of China.

[5] As of 1 July 1997, Hong Kong became a Special Administrative Region (SAR) of China.

[6] As of 20 December 1999, Macao became a Special Administrative Region (SAR) of China.

[7] The regions Southern Asia and Central Asia are combined into South-central Asia.

[8] Refers to Guernsey, and Jersey.

[9] Including Åland Islands.

[10] Including Svalbard and Jan Mayen Islands.

[11] Also referred to as United Kingdom.

[12] Refers to the Vatican City State.

[13] Also referred to as TFYR Macedonia.

[14] Including Christmas Island, Cocos (Keeling) Islands, and Norfolk Island.

 

SOURCE OF DATA ON POPULATION

 

In preparing the 2006 Revision of the official United Nations population estimates and projections, the Population Division considered the most recent demographic data available for each and every country or area of the world. Standard demographic techniques were used to estimate the population by age and sex for the base year (2005) as well as trends in total fertility, life expectancy at birth, infant mortality and international migration up to 2006. The resulting estimates provided the basis from which the population projections follow.

 

Surveys are often the source of the most recent demographic information for developing countries. Since the 1970s, there have been several multi-national survey programmes whose results provide key information about fertility or mortality in a number of countries. The Demographic and Health Surveys Programme (DHS), which started in 1984, and under whose auspices more than 220 surveys in 75 countries have been carried out in Africa, Asia and Latin America and the Caribbean, has proven to be a great source of information. The key results of the surveys conducted under the DHS Programme are normally published in national reports. In addition, special tabulations of the survey data are available in most cases. When any of those sources of information was consulted in preparing the population estimates and projections for a country, the text below states the name of the country, the acronym DHS and the year to which the survey refers. National reports as well as any other data emanating from the DHS surveys can be obtained from ORC Macro, the institution coordinating the survey programme.1 It should be noted that several countries use different names or acronyms for their national reports and that in a few cases, countries have produced so-called Demographic and Health Surveys without the direct collaboration of ORC Macro. Prior to 1984, that is from 1972 to 1984, the World Fertility Survey (WFS) programme, the predecessor of the current DHS programme, has also been an important source of information for the estimates included in the 2006 Revision.

 

Another survey programme has been carried out by the Pan Arab Project for Child Development (PAPCHILD) of the League of Arab States, working in collaboration with several international agencies. Its purpose was to gather information on the determinants of maternal and child health in Arab countries. The main results of the PAPCHILD surveys are normally included in national reports published by the countries undertaking such survey. In the present volume, when results of such surveys were used in preparing the population estimates and projections of a country, they are identified by the name of the country, the acronym PAPCHILD and the year to which the survey refers. The Pan Arab Project for Family Health (PAPFAM) and Gulf Family Health Survey (GFHS) continue the task initiated by the PAPCHILD programme.

 

During the 1990s, UNICEF embarked on a process of helping countries assess progress for children at end-decade in relation to the World Summit for Children goals, held in 1990 (see UNICEF, 1991). Since then, two rounds of Multiple Indicator Cluster Surveys have been carried out (MICS and MICS-2) that collected and estimated, inter alia, information on infant and child mortality, and a third round (MICS-3) is underway. The mid-decade assessment led to 100 countries collecting data using the Multiple Indicator Cluster Surveys (MICS), household surveys developed to obtain specific mid-decade data, or via MICS questionnaire modules carried by other surveys.  By 1996, 60 developing countries had carried out stand-alone MICS, and another 40 had incorporated some of the MICS modules into other surveys. In the second phase of their data collection process, the so-called end-decade assessment, the list of countries participating in the programme was extended. By 2005, MICS-3 has expanded its scope in its third round to collect 21 of the 48 Millennium Development Goals (MDGs) indicators and to serve as monitoring tool for the World Fit for Children, as well as for other major international commitments, such as the UNGASS on HIV/AIDS and the Abuja targets for malaria.2

 

Finally, in preparing the 2006 Revision, demographic information as produced by other United Nations agencies or bodies, such as: the Economic and Social Commissions for Asia and the Pacific (ESCAP), for Latin America and the Caribbean (ECLAC/CELADE) and for Western Asia (ESCWA), as well as the United Nations High Commissioner for Refugees (UNHCR), the  United Nations Children’s Fund (UNICEF) and the World Health Organization (WHO), was also used or considered. Data from regional organizations such as the Statistical Office of the European Communities (EUROSTAT) and the Council of Europe,  the Institut National de la Statistique et des Études Économiques (INSEE) and  the Centre d’Études et de Recherche sur la Population et le Développement (CERPOD), have also been consulted.

 

 

SOURCE OF DATA ON URBAN AND RURAL POPULATION

 

The estimates and projections of the urban and rural population are derived from the estimated and projected percentage urban as published in World Urbanization Prospects: The 2005 Revision (United Nations) applied to the total population estimates and projections for the medium variant as published in World Population Prospects: The 2006 Revision (United Nations, forthcoming). Therefore, they differ from the estimates and projections published in World Urbanization Prospects: The 2005 Revision, since the latter were obtained using the total population produced by the 2004 Revision of World Population Prospects.

 

Estimates and projections of the urban and rural populations are available only for the period 1950-2030.


1 The programme is currently named Measure DHS and information is accessible through their website at www.measuredhs.com.

2 For more information. see UNICEF's web site at: www.childinfo.org

 

 

 

 

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I. Assumptions underlying the results of the 2006 revision of World Population Prospects