The global total fertility rate peaked in 1963 when the world saw 5.31 childern born per woman. Since then we have seen a steady decline of total fertility rate to the year 2025, and it is projected decrease even further to the end of this century.
| Year | TFR |
|---|---|
| 1950 | 4.8519 |
| 1951 | 4.8164 |
| 1952 | 5.0008 |
| 1953 | 4.9223 |
| 1954 | 4.9978 |
| 1955 | 5.0031 |
| 1956 | 4.9309 |
| 1957 | 5.0684 |
| 1958 | 4.9321 |
| 1959 | 4.7395 |
| 1960 | 4.6963 |
| 1961 | 4.5712 |
| 1962 | 5.0217 |
| 1963 | 5.3081 |
| 1964 | 5.123 |
| 1965 | 5.0709 |
| 1966 | 4.961 |
| 1967 | 4.8525 |
| 1968 | 4.9628 |
| 1969 | 4.8657 |
| 1970 | 4.8251 |
| 1971 | 4.6791 |
| 1972 | 4.5446 |
| 1973 | 4.4163 |
| 1974 | 4.2591 |
| 1975 | 4.0797 |
| 1976 | 3.9745 |
| 1977 | 3.8497 |
| 1978 | 3.7871 |
| 1979 | 3.7712 |
| 1980 | 3.7437 |
| 1981 | 3.711 |
| 1982 | 3.7119 |
| 1983 | 3.5808 |
| 1984 | 3.5526 |
| 1985 | 3.5145 |
| 1986 | 3.5042 |
| 1987 | 3.4759 |
| 1988 | 3.3898 |
| 1989 | 3.3471 |
| 1990 | 3.3098 |
| 1991 | 3.1305 |
| 1992 | 3.0437 |
| 1993 | 2.9804 |
| 1994 | 2.9334 |
| 1995 | 2.8893 |
| 1996 | 2.8458 |
| 1997 | 2.8085 |
| 1998 | 2.7758 |
| 1999 | 2.7499 |
| 2000 | 2.7537 |
| 2001 | 2.7143 |
| 2002 | 2.6838 |
| 2003 | 2.6594 |
| 2004 | 2.6474 |
| 2005 | 2.63 |
| 2006 | 2.6249 |
| 2007 | 2.6227 |
| 2008 | 2.6264 |
| 2009 | 2.6213 |
| 2010 | 2.6021 |
| 2011 | 2.5881 |
| 2012 | 2.6069 |
| 2013 | 2.5724 |
| 2014 | 2.5644 |
| 2015 | 2.537 |
| 2016 | 2.5359 |
| 2017 | 2.5036 |
| 2018 | 2.4367 |
| 2019 | 2.3968 |
| 2020 | 2.3216 |
| 2021 | 2.2909 |
| 2022 | 2.2653 |
| 2023 | 2.2505 |
| 2024 | 2.2477 |
| 2025 | 2.2385 |
Around 2040, the effective total global fertility rate will fall below the replacement rate, which is roughly 2.1 children per woman. This will lead to a stabilization of the world population sometime during the period 2050โ2070.
| Year | TFR |
|---|---|
| 2026 | 2.2304 |
| 2027 | 2.2213 |
| 2028 | 2.2128 |
| 2029 | 2.2044 |
| 2030 | 2.1961 |
| 2031 | 2.1871 |
| 2032 | 2.1776 |
| 2033 | 2.1689 |
| 2034 | 2.1608 |
| 2035 | 2.1529 |
| 2036 | 2.1458 |
| 2037 | 2.1387 |
| 2038 | 2.1336 |
| 2039 | 2.1293 |
| 2040 | 2.1267 |
| 2041 | 2.1234 |
| 2042 | 2.1211 |
| 2043 | 2.1199 |
| 2044 | 2.1181 |
| 2045 | 2.1156 |
| 2046 | 2.1133 |
| 2047 | 2.1095 |
| 2048 | 2.1058 |
| 2049 | 2.1013 |
| 2050 | 2.0966 |
| 2051 | 2.0912 |
| 2052 | 2.0852 |
| 2053 | 2.0791 |
| 2054 | 2.0716 |
| 2055 | 2.0651 |
| 2056 | 2.0584 |
| 2057 | 2.0512 |
| 2058 | 2.0439 |
| 2059 | 2.0369 |
| 2060 | 2.0298 |
| 2061 | 2.0223 |
| 2062 | 2.0156 |
| 2063 | 2.0086 |
| 2064 | 2.0022 |
| 2065 | 1.9958 |
| 2066 | 1.9898 |
| 2067 | 1.9837 |
| 2068 | 1.9778 |
| 2069 | 1.9718 |
| 2070 | 1.9666 |
| 2071 | 1.9618 |
| 2072 | 1.9567 |
| 2073 | 1.9521 |
| 2074 | 1.9474 |
| 2075 | 1.9429 |
| 2076 | 1.9389 |
| 2077 | 1.9348 |
| 2078 | 1.9301 |
| 2079 | 1.9257 |
| 2080 | 1.9217 |
| 2081 | 1.9172 |
| 2082 | 1.9137 |
| 2083 | 1.9092 |
| 2084 | 1.9051 |
| 2085 | 1.9007 |
| 2086 | 1.8963 |
| 2087 | 1.8918 |
| 2088 | 1.8875 |
| 2089 | 1.8833 |
| 2090 | 1.8788 |
| 2091 | 1.8745 |
| 2092 | 1.8701 |
| 2093 | 1.8655 |
| 2094 | 1.8612 |
| 2095 | 1.8567 |
| 2096 | 1.8528 |
| 2097 | 1.8493 |
| 2098 | 1.8454 |
| 2099 | 1.8419 |
| 2100 | 1.838 |
The Total Fertility Rate is a key demographic indicator for understanding and projecting population growth and decline of a region. It is a measurement of the number of children a woman will have on average throughout her lifetime.
Total Fertility Rate or TFR for short, is a measure of the number of children a woman is expected to have during her childbearing years
A population's fertility rate is most commonly calculated as Total Fertility Rate or TFR for short. The Total Fertility Rate (TFR) is a standard demographic indicator that is used internationally to estimate the average number of children born per woman in a population. It is calculated by adding up all the age-specific fertility rates, multiplying this sum by five (the width of the age-group interval), and then dividing by 1,000.
Total Fertility Rate = (Sum of ASFR x 5 ) / 1000There are a number of factors that can affect the Total Fertility Rate of a region and its population.
Economic development plays a big part in overall fertility rates. As a country or region becomes more developed, women are more likely to have access to education and employment opportunities. Historically this has lead to a decline in the total fertility rate in the developed countries of the world.
In countries where women have access to effective birth control methods the total fertility rate is usually lower than in countries that don't.
Education is another factors that affects the total fertility rate of a region. Women from countries who are more educated tend to have fewer children and have them later in their life.
The Total Fertility Rate is also influenced by the age at which women marry and have children, as well as by the prevalence of cohabitation and single parenthood.
Policies such as tax breaks or subsidies for families with children plays a big part in a country's Total Fertility Rate. For example, in 1987, Denmark introduced a tax-free benefit called Child and Youth Benefit for parents of children under 18 years. This policy helped increase and stabilize Denmarks Total Fertility Rate. Other factors that affects the total fertility rate include parental leave, affordable childcare and child support.
The total fertility rate can also be affected by the health and mortality of women in a region. If women have poor health or are of high risk of dying, they may be less likely to have children.
The migration of people can also affect the Total Fertility Rate. When people move from one country to another they tend to bring their values and customs with them. If the people immigrating to a country have a stronger culture around marriage and family structures, while also having more children on average. Said migration can impact the overall fertility numbers of the country.
The Total Fertility Rate is a useful messuremet for understanding a region or a country's fertility patterns. It is a commonly used for projecting future population growth or decline.
The total fertility rate can indicate the demand for prenatal and maternal healthcare services and help healthcare providers plan and allocate resources accordingly.
TFR can also indicate the demand for schools and teachers of a region. This can help education planners and policy makers plan for the number of students in the future.
Future workforce supply can be better projected with the help of the Total Fertility Rate. Allowing employers and policy makers to plan for labor shortages or surpluses in the future.
Accompanied with other messurements, the total fertility rate a region can of be used to understand the social and economic well-being of a population.
The Total Fertility Rate is also used to make projections about future population size and age structure. This can help policy makers plan for future needs such as healthcare, education, and housing.
TFR is also used to compare fertility patterns across countries and regions, which can help understand the relative population growth potential and demographic challenges of different areas.
A Total Fertility Rate of above 2.1 is considered as replacement level, at which the population of a region would be able to sustain itself without any growth or decline. A total fertility rate below 2.1 children per women may indicate a decrease in population growth, which can have economic and social implications.
| Flag | Country | TFR |
|---|---|---|
| ๐ฆ๐ซ | Afghanistan | 4.5622 |
| ๐ฆ๐ฑ | Albania | 1.3228 |
| ๐ฉ๐ฟ | Algeria | 2.6226 |
| ๐ฆ๐ธ | American Samoa | 2.2237 |
| ๐ฆ๐ฉ | Andorra | 1.1051 |
| ๐ฆ๐ด | Angola | 4.8889 |
| ๐ฆ๐ฎ | Anguilla | 1.3416 |
| ๐ฆ๐ฌ | Antigua and Barbuda | 1.5694 |
| ๐ฆ๐ท | Argentina | 1.5069 |
| ๐ฆ๐ฒ | Armenia | 1.7117 |
| ๐ฆ๐ผ | Aruba | 1.6055 |
| ๐ฆ๐บ | Australia | 1.6394 |
| ๐ฆ๐น | Austria | 1.3361 |
| ๐ฆ๐ฟ | Azerbaijan | 1.6617 |
| ๐ง๐ธ | Bahamas | 1.3568 |
| ๐ง๐ญ | Bahrain | 1.7679 |
| ๐ง๐ฉ | Bangladesh | 2.0899 |
| ๐ง๐ง | Barbados | 1.7049 |
| ๐ง๐พ | Belarus | 1.2345 |
| ๐ง๐ช | Belgium | 1.3967 |
| ๐ง๐ฟ | Belize | 1.9922 |
| ๐ง๐ฏ | Benin | 4.3394 |
| ๐ง๐ฒ | Bermuda | 1.4154 |
| ๐ง๐น | Bhutan | 1.4272 |
| ๐ง๐ด | Bolivia (Plurinational State of) | 2.4693 |
| ๐ง๐ถ | Bonaire, Sint Eustatius and Saba | 1.4419 |
| ๐ง๐ฆ | Bosnia and Herzegovina | 1.5021 |
| ๐ง๐ผ | Botswana | 2.6281 |
| ๐ง๐ท | Brazil | 1.5908 |
| ๐ป๐ฌ | British Virgin Islands | 1.0654 |
| ๐ง๐ณ | Brunei Darussalam | 1.6954 |
| ๐ง๐ฌ | Bulgaria | 1.7413 |
| ๐ง๐ซ | Burkina Faso | 3.9146 |
| ๐ง๐ฎ | Burundi | 4.5659 |
| ๐จ๐ป | Cabo Verde | 1.4864 |
| ๐ฐ๐ญ | Cambodia | 2.487 |
| ๐จ๐ฒ | Cameroon | 4.1174 |
| ๐จ๐ฆ | Canada | 1.3259 |
| ๐ฐ๐พ | Cayman Islands | 1.5041 |
| ๐จ๐ซ | Central African Republic | 5.6868 |
| ๐น๐ฉ | Chad | 5.8352 |
| ๐จ๐ฑ | Chile | 1.1207 |
| ๐จ๐ณ | China | 1.0308 |
| ๐ญ๐ฐ | China, Hong Kong SAR | 0.7464 |
| ๐ฒ๐ด | China, Macao SAR | 0.6982 |
| ๐น๐ผ | China, Taiwan Province of China | 0.8609 |
| ๐จ๐ด | Colombia | 1.6048 |
| ๐ฐ๐ฒ | Comoros | 3.7061 |
| ๐จ๐ฌ | Congo | 3.9879 |
| ๐จ๐ฐ | Cook Islands | 1.9749 |
| ๐จ๐ท | Costa Rica | 1.3067 |
| ๐ญ๐ท | Croatia | 1.472 |
| ๐จ๐บ | Cuba | 1.4547 |
| ๐จ๐ผ | Curaรงao | 1.0726 |
| ๐จ๐พ | Cyprus | 1.3663 |
| ๐จ๐ฟ | Czechia | 1.4737 |
| ๐จ๐ฎ | Cรดte d'Ivoire | 4.1037 |
| ๐ฐ๐ต | Dem. People's Republic of Korea | 1.7541 |
| ๐จ๐ฉ | Democratic Republic of the Congo | 5.8013 |
| ๐ฉ๐ฐ | Denmark | 1.5236 |
| ๐ฉ๐ฏ | Djibouti | 2.5425 |
| ๐ฉ๐ฒ | Dominica | 1.4638 |
| ๐ฉ๐ด | Dominican Republic | 2.17 |
| ๐ช๐จ | Ecuador | 1.7808 |
| ๐ช๐ฌ | Egypt | 2.6829 |
| ๐ธ๐ป | El Salvador | 1.7404 |
| ๐ฌ๐ถ | Equatorial Guinea | 3.9547 |
| ๐ช๐ท | Eritrea | 3.5534 |
| ๐ช๐ช | Estonia | 1.3843 |
| ๐ธ๐ฟ | Eswatini | 2.6433 |
| ๐ช๐น | Ethiopia | 3.7231 |
| ๐ซ๐ฐ | Falkland Islands (Malvinas) | 1.6942 |
| ๐ซ๐ด | Faroe Islands | 2.1883 |
| ๐ซ๐ฏ | Fiji | 2.2305 |
| ๐ซ๐ฎ | Finland | 1.3041 |
| ๐ซ๐ท | France | 1.6374 |
| ๐ฌ๐ซ | French Guiana | 3.2472 |
| ๐ต๐ซ | French Polynesia | 1.4689 |
| ๐ฌ๐ฆ | Gabon | 3.4876 |
| ๐ฌ๐ฒ | Gambia | 3.7015 |
| ๐ฌ๐ช | Georgia | 1.7757 |
| ๐ฉ๐ช | Germany | 1.4595 |
| ๐ฌ๐ญ | Ghana | 3.2574 |
| ๐ฌ๐ฎ | Gibraltar | 1.8766 |
| ๐ฌ๐ท | Greece | 1.3433 |
| ๐ฌ๐ฑ | Greenland | 1.8961 |
| ๐ฌ๐ฉ | Grenada | 1.4472 |
| ๐ฌ๐ต | Guadeloupe | 2.0395 |
| ๐ฌ๐บ | Guam | 2.6798 |
| ๐ฌ๐น | Guatemala | 2.2269 |
| ๐ฌ๐ฌ | Guernsey | 1.3719 |
| ๐ฌ๐ณ | Guinea | 3.9578 |
| ๐ฌ๐ผ | Guinea-Bissau | 3.6176 |
| ๐ฌ๐พ | Guyana | 2.3489 |
| ๐ญ๐น | Haiti | 2.5516 |
| ๐ป๐ฆ | Holy See | 1.0019 |
| ๐ญ๐ณ | Honduras | 2.4232 |
| ๐ญ๐บ | Hungary | 1.5002 |
| ๐ฎ๐ธ | Iceland | 1.4903 |
| ๐ฎ๐ณ | India | 1.9293 |
| ๐ฎ๐ฉ | Indonesia | 2.0798 |
| ๐ฎ๐ท | Iran (Islamic Republic of) | 1.6584 |
| ๐ฎ๐ถ | Iraq | 3.1319 |
| ๐ฎ๐ช | Ireland | 1.5986 |
| ๐ฎ๐ฒ | Isle of Man | 1.5258 |
| ๐ฎ๐ฑ | Israel | 2.7294 |
| ๐ฎ๐น | Italy | 1.2193 |
| ๐ฏ๐ฒ | Jamaica | 1.3337 |
| ๐ฏ๐ต | Japan | 1.2315 |
| ๐ฏ๐ช | Jersey | 1.3834 |
| ๐ฏ๐ด | Jordan | 2.5387 |
| ๐ฐ๐ฟ | Kazakhstan | 2.922 |
| ๐ฐ๐ช | Kenya | 3.0744 |
| ๐ฐ๐ฎ | Kiribati | 3.06 |
| ๐ฝ๐ฐ | Kosovo (under UNSC res. 1244) | 1.5152 |
| ๐ฐ๐ผ | Kuwait | 1.4875 |
| ๐ฐ๐ฌ | Kyrgyzstan | 2.7225 |
| ๐ฑ๐ฆ | Lao People's Democratic Republic | 2.3278 |
| ๐ฑ๐ป | Latvia | 1.3539 |
| ๐ฑ๐ง | Lebanon | 2.1876 |
| ๐ฑ๐ธ | Lesotho | 2.6097 |
| ๐ฑ๐ท | Liberia | 3.7139 |
| ๐ฑ๐พ | Libya | 2.2138 |
| ๐ฑ๐ฎ | Liechtenstein | 1.5403 |
| ๐ฑ๐น | Lithuania | 1.2232 |
| ๐ฑ๐บ | Luxembourg | 1.4115 |
| ๐ฒ๐ฌ | Madagascar | 3.7839 |
| ๐ฒ๐ผ | Malawi | 3.4491 |
| ๐ฒ๐พ | Malaysia | 1.5195 |
| ๐ฒ๐ป | Maldives | 1.5337 |
| ๐ฒ๐ฑ | Mali | 5.3259 |
| ๐ฒ๐น | Malta | 1.1212 |
| ๐ฒ๐ญ | Marshall Islands | 2.7723 |
| ๐ฒ๐ถ | Martinique | 1.9516 |
| ๐ฒ๐ท | Mauritania | 4.4848 |
| ๐ฒ๐บ | Mauritius | 1.2081 |
| ๐พ๐น | Mayotte | 4.4315 |
| ๐ฒ๐ฝ | Mexico | 1.8521 |
| ๐ซ๐ฒ | Micronesia (Fed. States of) | 2.6724 |
| ๐ฒ๐จ | Monaco | 2.0849 |
| ๐ฒ๐ณ | Mongolia | 2.5392 |
| ๐ฒ๐ช | Montenegro | 1.7937 |
| ๐ฒ๐ธ | Montserrat | 1.4522 |
| ๐ฒ๐ฆ | Morocco | 2.1612 |
| ๐ฒ๐ฟ | Mozambique | 4.5421 |
| ๐ฒ๐ฒ | Myanmar | 2.0599 |
| ๐ณ๐ฆ | Namibia | 3.1296 |
| ๐ณ๐ท | Nauru | 3.2049 |
| ๐ณ๐ต | Nepal | 1.9191 |
| ๐ณ๐ฑ | Netherlands | 1.4435 |
| ๐ณ๐จ | New Caledonia | 1.9299 |
| ๐ณ๐ฟ | New Zealand | 1.6394 |
| ๐ณ๐ฎ | Nicaragua | 2.1577 |
| ๐ณ๐ช | Niger | 5.6444 |
| ๐ณ๐ฌ | Nigeria | 4.2046 |
| ๐ณ๐บ | Niue | 2.4363 |
| ๐ฒ๐ฐ | North Macedonia | 1.4696 |
| ๐ฒ๐ต | Northern Mariana Islands | 2.2443 |
| ๐ณ๐ด | Norway | 1.4183 |
| ๐ด๐ฒ | Oman | 2.444 |
| ๐ต๐ฐ | Pakistan | 3.4422 |
| ๐ต๐ผ | Palau | 1.8413 |
| ๐ต๐ฆ | Panama | 2.0729 |
| ๐ต๐ฌ | Papua New Guinea | 2.989 |
| ๐ต๐พ | Paraguay | 2.3713 |
| ๐ต๐ช | Peru | 1.925 |
| ๐ต๐ญ | Philippines | 1.863 |
| ๐ต๐ฑ | Poland | 1.3122 |
| ๐ต๐น | Portugal | 1.523 |
| ๐ต๐ท | Puerto Rico | 0.9401 |
| ๐ถ๐ฆ | Qatar | 1.6908 |
| ๐ฐ๐ท | Republic of Korea | 0.7617 |
| ๐ฒ๐ฉ | Republic of Moldova | 1.7243 |
| ๐ท๐ด | Romania | 1.707 |
| ๐ท๐บ | Russian Federation | 1.4699 |
| ๐ท๐ผ | Rwanda | 3.5374 |
| ๐ท๐ช | Rรฉunion | 2.1154 |
| ๐ง๐ฑ | Saint Barthรฉlemy | 0.8385 |
| ๐ธ๐ญ | Saint Helena | 1.639 |
| ๐ฐ๐ณ | Saint Kitts and Nevis | 1.4997 |
| ๐ฑ๐จ | Saint Lucia | 1.3698 |
| ๐ฒ๐ซ | Saint Martin (French part) | 2.5869 |
| ๐ต๐ฒ | Saint Pierre and Miquelon | 1.285 |
| ๐ป๐จ | Saint Vincent and the Grenadines | 1.7306 |
| ๐ผ๐ธ | Samoa | 3.704 |
| ๐ธ๐ฒ | San Marino | 1.1722 |
| ๐ธ๐น | Sao Tome and Principe | 3.4696 |
| ๐ธ๐ฆ | Saudi Arabia | 2.2698 |
| ๐ธ๐ณ | Senegal | 3.6586 |
| ๐ท๐ธ | Serbia | 1.5051 |
| ๐ธ๐จ | Seychelles | 2.0591 |
| ๐ธ๐ฑ | Sierra Leone | 3.5318 |
| ๐ธ๐ฌ | Singapore | 0.9719 |
| ๐ธ๐ฝ | Sint Maarten (Dutch part) | 1.4224 |
| ๐ธ๐ฐ | Slovakia | 1.5713 |
| ๐ธ๐ฎ | Slovenia | 1.58 |
| ๐ธ๐ง | Solomon Islands | 3.4195 |
| ๐ธ๐ด | Somalia | 5.8046 |
| ๐ฟ๐ฆ | South Africa | 2.1662 |
| ๐ธ๐ธ | South Sudan | 3.6334 |
| ๐ช๐ธ | Spain | 1.2385 |
| ๐ฑ๐ฐ | Sri Lanka | 1.925 |
| ๐ต๐ธ | State of Palestine | 3.1278 |
| ๐ธ๐ฉ | Sudan | 4.132 |
| ๐ธ๐ท | Suriname | 2.1876 |
| ๐ธ๐ช | Sweden | 1.4445 |
| ๐จ๐ญ | Switzerland | 1.4466 |
| ๐ธ๐พ | Syrian Arab Republic | 2.6176 |
| ๐น๐ฏ | Tajikistan | 2.9603 |
| ๐น๐ญ | Thailand | 1.1913 |
| ๐น๐ฑ | Timor-Leste | 2.5004 |
| ๐น๐ฌ | Togo | 4.0089 |
| ๐น๐ฐ | Tokelau | 2.5417 |
| ๐น๐ด | Tonga | 3.0413 |
| ๐น๐น | Trinidad and Tobago | 1.5176 |
| ๐น๐ณ | Tunisia | 1.7912 |
| ๐น๐ฒ | Turkmenistan | 2.5967 |
| ๐น๐จ | Turks and Caicos Islands | 1.434 |
| ๐น๐ป | Tuvalu | 3.0958 |
| ๐น๐ท | Tรผrkiye | 1.6193 |
| ๐บ๐ฌ | Uganda | 3.969 |
| ๐บ๐ฆ | Ukraine | 1.0037 |
| ๐ฆ๐ช | United Arab Emirates | 1.2079 |
| ๐ฌ๐ง | United Kingdom | 1.5317 |
| ๐น๐ฟ | United Republic of Tanzania | 4.4062 |
| ๐ป๐ฎ | United States Virgin Islands | 2.0471 |
| ๐บ๐ธ | United States of America | 1.6247 |
| ๐บ๐พ | Uruguay | 1.3829 |
| ๐บ๐ฟ | Uzbekistan | 3.4041 |
| ๐ป๐บ | Vanuatu | 3.498 |
| ๐ป๐ช | Venezuela (Bolivarian Republic of) | 2.042 |
| ๐ป๐ณ | Viet Nam | 1.8642 |
| ๐ผ๐ซ | Wallis and Futuna Islands | 1.3933 |
| ๐ช๐ญ | Western Sahara | 2.1322 |
| ๐พ๐ช | Yemen | 4.3267 |
| ๐ฟ๐ฒ | Zambia | 3.9103 |
| ๐ฟ๐ผ | Zimbabwe | 3.5687 |
| Region | TFR |
|---|---|
| Africa | 3.8913 |
| Asia | 1.8673 |
| Europe | 1.4124 |
| Americas | 1.7168 |
| Latin America and the Caribbean | 1.7723 |
| Northern America | 1.5952 |
| Oceania | 2.1151 |
| Subregion | TFR |
|---|---|
| Eastern Africa | 3.8884 |
| Middle Africa | 5.281 |
| Northern Africa | 2.8485 |
| Southern Africa | 2.2462 |
| Western Africa | 4.1885 |
| Central Asia | 3.0967 |
| Eastern Asia | 1.0447 |
| Southern Asia | 2.1635 |
| South-Eastern Asia | 1.8943 |
| Western Asia | 2.5031 |
| Eastern Europe | 1.4005 |
| Northern Europe | 1.4953 |
| Southern Europe | 1.2977 |
| Western Europe | 1.5075 |
| Caribbean | 1.9411 |
| Central America | 1.9288 |
| South America | 1.6784 |
| Australia/New Zealand | 1.6401 |
| Melanesia | 2.9526 |
| Micronesia | 2.7625 |
| Polynesia | 2.4819 |
| Income Group | TFR |
|---|---|
| High-and-upper-middle-income countries | 1.4798 |
| Low-and-Lower-middle-income countries | 2.8118 |
| High-income countries | 1.4758 |
| Low-and-middle-income countries | 2.334 |
| Middle-income countries | 2.0792 |
| Upper-middle-income countries | 1.4842 |
| Lower-middle-income countries | 2.4842 |
| Low-income countries | 4.2993 |
| No income group available | 2.0468 |
Data found on this page is based on the medium fertility variant of the United Nations Revision of World Population Prospects 2024.
Data Published: 2024-07-11Source data made available by UN Revision of World Population Prospects 2024 under CC BY 3.0 IGO.
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