| Year | Births |
|---|---|
| 1950 | 91,823,936 |
| 1951 | 92,507,128 |
| 1952 | 97,371,459 |
| 1953 | 97,291,452 |
| 1954 | 100,187,854 |
| 1955 | 101,747,972 |
| 1956 | 101,759,013 |
| 1957 | 106,017,733 |
| 1958 | 104,644,163 |
| 1959 | 101,999,844 |
| 1960 | 102,378,083 |
| 1961 | 100,950,944 |
| 1962 | 112,038,714 |
| 1963 | 119,802,888 |
| 1964 | 117,292,200 |
| 1965 | 117,837,004 |
| 1966 | 117,232,950 |
| 1967 | 116,920,266 |
| 1968 | 121,825,890 |
| 1969 | 122,227,965 |
| 1970 | 124,135,907 |
| 1971 | 123,739,681 |
| 1972 | 123,554,018 |
| 1973 | 123,563,931 |
| 1974 | 122,709,409 |
| 1975 | 121,030,095 |
| 1976 | 121,322,351 |
| 1977 | 120,786,521 |
| 1978 | 122,140,645 |
| 1979 | 125,000,293 |
| 1980 | 127,446,984 |
| 1981 | 129,715,837 |
| 1982 | 133,206,504 |
| 1983 | 131,967,708 |
| 1984 | 134,365,258 |
| 1985 | 136,373,957 |
| 1986 | 139,301,162 |
| 1987 | 141,346,561 |
| 1988 | 140,985,956 |
| 1989 | 142,249,031 |
| 1990 | 143,461,425 |
| 1991 | 138,306,865 |
| 1992 | 136,591,255 |
| 1993 | 135,632,145 |
| 1994 | 135,142,908 |
| 1995 | 134,850,043 |
| 1996 | 134,321,023 |
| 1997 | 133,985,669 |
| 1998 | 133,857,525 |
| 1999 | 134,058,675 |
| 2000 | 135,758,482 |
| 2001 | 135,379,993 |
| 2002 | 135,396,478 |
| 2003 | 135,700,801 |
| 2004 | 136,596,328 |
| 2005 | 137,166,462 |
| 2006 | 138,469,296 |
| 2007 | 139,935,794 |
| 2008 | 141,758,720 |
| 2009 | 142,968,320 |
| 2010 | 143,354,237 |
| 2011 | 143,878,789 |
| 2012 | 146,054,881 |
| 2013 | 145,014,783 |
| 2014 | 145,268,255 |
| 2015 | 144,333,945 |
| 2016 | 144,854,100 |
| 2017 | 143,601,801 |
| 2018 | 140,332,732 |
| 2019 | 138,596,791 |
| 2020 | 134,719,611 |
| 2021 | 133,448,839 |
| 2022 | 132,475,391 |
| 2023 | 132,110,264 |
| 2024 | 132,405,927 |
| 2025 | 132,399,173 |
| Year | Births |
|---|---|
| 2026 | 132,503,469 |
| 2027 | 132,590,971 |
| 2028 | 132,761,183 |
| 2029 | 132,988,654 |
| 2030 | 133,256,397 |
| 2031 | 133,513,402 |
| 2032 | 133,764,794 |
| 2033 | 134,065,211 |
| 2034 | 134,381,002 |
| 2035 | 134,669,241 |
| 2036 | 134,945,606 |
| 2037 | 135,140,994 |
| 2038 | 135,355,315 |
| 2039 | 135,515,309 |
| 2040 | 135,668,984 |
| 2041 | 135,672,675 |
| 2042 | 135,635,914 |
| 2043 | 135,580,927 |
| 2044 | 135,406,650 |
| 2045 | 135,108,935 |
| 2046 | 134,763,860 |
| 2047 | 134,270,884 |
| 2048 | 133,752,123 |
| 2049 | 133,163,337 |
| 2050 | 132,555,180 |
| 2051 | 131,922,869 |
| 2052 | 131,280,338 |
| 2053 | 130,666,632 |
| 2054 | 130,019,574 |
| 2055 | 129,484,557 |
| 2056 | 128,994,835 |
| 2057 | 128,530,513 |
| 2058 | 128,109,976 |
| 2059 | 127,754,769 |
| 2060 | 127,431,153 |
| 2061 | 127,116,967 |
| 2062 | 126,876,440 |
| 2063 | 126,634,990 |
| 2064 | 126,429,595 |
| 2065 | 126,218,349 |
| 2066 | 126,019,436 |
| 2067 | 125,793,035 |
| 2068 | 125,546,778 |
| 2069 | 125,259,602 |
| 2070 | 124,986,379 |
| 2071 | 124,696,333 |
| 2072 | 124,348,327 |
| 2073 | 123,981,997 |
| 2074 | 123,572,755 |
| 2075 | 123,139,810 |
| 2076 | 122,692,724 |
| 2077 | 122,209,347 |
| 2078 | 121,660,486 |
| 2079 | 121,106,661 |
| 2080 | 120,554,863 |
| 2081 | 119,954,952 |
| 2082 | 119,411,964 |
| 2083 | 118,804,114 |
| 2084 | 118,220,259 |
| 2085 | 117,622,288 |
| 2086 | 117,028,433 |
| 2087 | 116,442,237 |
| 2088 | 115,886,476 |
| 2089 | 115,345,023 |
| 2090 | 114,804,559 |
| 2091 | 114,283,302 |
| 2092 | 113,772,577 |
| 2093 | 113,262,383 |
| 2094 | 112,772,539 |
| 2095 | 112,282,193 |
| 2096 | 111,830,662 |
| 2097 | 111,397,100 |
| 2098 | 110,941,160 |
| 2099 | 110,500,810 |
| 2100 | 110,028,472 |
The Births (NRR) is calculated by taking the sum of the age-specific fertility rates (ASFRs) in a population, and then subtracting the age-specific mortality rates (ASMRs). The ASFRs and ASMRs are expressed as the number of births or deaths per 1,000 population in a specific age group.
To calculate the NRR, you first need to determine the age-specific fertility rates and age-specific mortality rates for each age group in the population. For example, if you are calculating the NRR for a population of women aged 15-49, you would need to determine the number of births per 1,000 women in each of these age groups. Once you have the fertility rates for each age group, you can sum them to get the total fertility rate.
Next, you need to determine the age-specific mortality rates for each age group. This can be done by calculating the number of deaths per 1,000 population in each age group. Once you have the mortality rates for each age group, you can sum them to get the net reproduction rate.
Finally, you can subtract the total mortality rate from the total fertility rate to get the NRR. The NRR is expressed as a ratio, with a value of 1 indicating that a woman is expected to replace herself and have one daughter. A value greater than 1 indicates that the population is growing, while a value less than 1 indicates that the population is shrinking.
NRR = (B−D) / P ∗ 100
NRR = ∑ASFR - ∑ASMRThe Births or NRR for short is a measure of the number of daughters that a woman is expected to have in her lifetime. It is based on current fertility and mortality rates. The metric is calculated by taking the sum of the age-specific fertility rates (ASFRs) in a population, and then subtracting the age-specific mortality rates (ASMRs). The NRR is used to predict population growth, and it is expressed as a ratio. A value of 1 means that a woman is expected to replace herself and have one daughter, while a value greater than 1 means that the population is growing. While the Total Fertility Rate (TFR) is a measure of the number of children that a woman is expected to have in her lifetime, based on current fertility rates. It is calculated by summing the age-specific fertility rates (ASFRs) in a population. The TFR is used to predict population growth, and it is expressed as the number of children per woman. A TFR of 2.1 is considered the replacement level, meaning that a woman is expected to have two children to replace herself and her partner. In summary, the NRR takes into account both fertility rates and mortality rates, while the TFR only considers fertility rates.
| Region | Births |
|---|---|
| Africa | 47,561,903 |
| Asia | 64,911,065 |
| Europe | 6,141,446 |
| Americas | 13,196,065 |
| Latin America and the Caribbean | 9,160,246 |
| Northern America | 4,035,819 |
| Oceania | 692,990 |
| Subregion | Births |
|---|---|
| Eastern Africa | 16,527,606 |
| Middle Africa | 8,585,114 |
| Northern Africa | 5,884,315 |
| Southern Africa | 1,391,989 |
| Western Africa | 15,172,879 |
| Central Asia | 1,843,639 |
| Eastern Asia | 10,174,434 |
| Southern Asia | 36,828,005 |
| South-Eastern Asia | 10,068,657 |
| Western Asia | 5,996,330 |
| Eastern Europe | 2,279,798 |
| Northern Europe | 1,035,552 |
| Southern Europe | 1,062,427 |
| Western Europe | 1,763,669 |
| Caribbean | 639,077 |
| Central America | 2,961,185 |
| South America | 5,559,984 |
| Australia/New Zealand | 361,344 |
| Melanesia | 309,505 |
| Micronesia | 10,352 |
| Polynesia | 11,789 |
| Income Group | Births |
|---|---|
| High-and-upper-middle-income countries | 39,211,897 |
| Low-and-Lower-middle-income countries | 92,838,322 |
| High-income countries | 11,449,203 |
| Low-and-middle-income countries | 120,601,016 |
| Middle-income countries | 94,233,121 |
| Upper-middle-income countries | 27,762,694 |
| Lower-middle-income countries | 66,470,427 |
| Low-income countries | 26,367,895 |
| No income group available | 449,396 |
| Development Group | Births |
|---|---|
| More developed regions | 11,284,552 |
| Less developed regions | 121,218,917 |
| Least developed countries | 37,551,535 |
| Less developed regions, excluding least developed countries | 83,667,382 |
| Less developed regions, excluding China | 112,428,547 |
| Land-locked Developing Countries (LLDC) | 18,077,557 |
| Small Island Developing States (SIDS) | 1,208,168 |
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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