Population ages 00-04, female, annual growth rate in South Asia
South Asia: Population ages 00-04, female, annual growth rate was -0.2599 % change on previous year in 2025. ◆ Volatile
Latest (2025)
-0.2599 % change on previous year
Change on year
up 51.1%
Rank
18th
of 43 groups
All-time high
2.31 % change on previous year
in 1964
All-time low
-1.15 % change on previous year
in 2015
Years of data
65
1961–2025
Population ages 00-04, female, annual growth rate in South Asia, 1961–2025
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
The most recent figure for population ages 00-04, female, annual growth rate in South Asia is -0.2599 % change on previous year, measured in 2025.
The figure is up 51.1% on the previous year and up 77.4% over ten years.
Over the whole period, population ages 00-04, female, annual growth rate in South Asia peaked at 2.31 % change on previous year in 1964 and was at its lowest, -1.15 % change on previous year, in 2015.
That places South Asia 18th out of 43 groups with data for 2025, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Population ages 00-04, female, annual growth rate in South Asia, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1961 | 2.24 % change on previous year | — |
| 1962 | 2.25 % change on previous year | +0.5% |
| 1963 | 2.27 % change on previous year | +1.0% |
| 1964 | 2.31 % change on previous year | +1.6% |
| 1965 | 2.06 % change on previous year | -10.8% |
| 1966 | 1.74 % change on previous year | -15.5% |
| 1967 | 1.66 % change on previous year | -4.6% |
| 1968 | 1.75 % change on previous year | +5.5% |
| 1969 | 1.82 % change on previous year | +4.1% |
| 1970 | 1.8 % change on previous year | -1.3% |
| 1971 | 1.73 % change on previous year | -3.8% |
| 1972 | 1.85 % change on previous year | +6.8% |
| 1973 | 2.05 % change on previous year | +11.1% |
| 1974 | 2.12 % change on previous year | +3.2% |
| 1975 | 2.1 % change on previous year | -0.9% |
| 1976 | 2.01 % change on previous year | -4.0% |
| 1977 | 1.87 % change on previous year | -7.3% |
| 1978 | 1.67 % change on previous year | -10.5% |
| 1979 | 1.67 % change on previous year | +0.1% |
| 1980 | 1.87 % change on previous year | +12.0% |
| 1981 | 1.97 % change on previous year | +5.3% |
| 1982 | 1.98 % change on previous year | +0.6% |
| 1983 | 2.03 % change on previous year | +2.3% |
| 1984 | 1.99 % change on previous year | -2.1% |
| 1985 | 1.8 % change on previous year | -9.2% |
| 1986 | 1.65 % change on previous year | -8.7% |
| 1987 | 1.48 % change on previous year | -10.3% |
| 1988 | 1.24 % change on previous year | -16.1% |
| 1989 | 1.06 % change on previous year | -14.6% |
| 1990 | 0.8663 % change on previous year | -18.2% |
| 1991 | 0.6194 % change on previous year | -28.5% |
| 1992 | 0.4912 % change on previous year | -20.7% |
| 1993 | 0.447 % change on previous year | -9.0% |
| 1994 | 0.3616 % change on previous year | -19.1% |
| 1995 | 0.3604 % change on previous year | -0.3% |
| 1996 | 0.3897 % change on previous year | +8.1% |
| 1997 | 0.4344 % change on previous year | +11.5% |
| 1998 | 0.5079 % change on previous year | +16.9% |
| 1999 | 0.5333 % change on previous year | +5.0% |
| 2000 | 0.6145 % change on previous year | +15.2% |
| 2001 | 0.7624 % change on previous year | +24.1% |
| 2002 | 0.6988 % change on previous year | -8.3% |
| 2003 | 0.4345 % change on previous year | -37.8% |
| 2004 | 0.1671 % change on previous year | -61.5% |
| 2005 | -0.2329 % change on previous year | -239.4% |
| 2006 | -0.7206 % change on previous year | +209.4% |
| 2007 | -1.01 % change on previous year | +40.1% |
| 2008 | -1.04 % change on previous year | +3.2% |
| 2009 | -0.9054 % change on previous year | -13.1% |
| 2010 | -0.7878 % change on previous year | -13.0% |
| 2011 | -0.7053 % change on previous year | -10.5% |
| 2012 | -0.6132 % change on previous year | -13.1% |
| 2013 | -0.6893 % change on previous year | +12.4% |
| 2014 | -1.02 % change on previous year | +47.4% |
| 2015 | -1.15 % change on previous year | +13.3% |
| 2016 | -0.8414 % change on previous year | -26.9% |
| 2017 | -0.8677 % change on previous year | +3.1% |
| 2018 | -0.8477 % change on previous year | -2.3% |
| 2019 | -0.5204 % change on previous year | -38.6% |
| 2020 | -0.598 % change on previous year | +14.9% |
| 2021 | -0.8681 % change on previous year | +45.2% |
| 2022 | -0.7097 % change on previous year | -18.2% |
| 2023 | -0.5691 % change on previous year | -19.8% |
| 2024 | -0.5317 % change on previous year | -6.6% |
| 2025 | -0.2599 % change on previous year | -51.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 2.01 % change on previous year | 1.66 % change on previous year | 2.31 % change on previous year | 9 |
| 1970s | 1.89 % change on previous year | 1.67 % change on previous year | 2.12 % change on previous year | 10 |
| 1980s | 1.71 % change on previous year | 1.06 % change on previous year | 2.03 % change on previous year | 10 |
| 1990s | 0.5011 % change on previous year | 0.3604 % change on previous year | 0.8663 % change on previous year | 10 |
| 2000s | -0.1234 % change on previous year | -1.04 % change on previous year | 0.7624 % change on previous year | 10 |
| 2010s | -0.804 % change on previous year | -1.15 % change on previous year | -0.5204 % change on previous year | 10 |
| 2020s | -0.5894 % change on previous year | -0.8681 % change on previous year | -0.2599 % change on previous year | 6 |
Countries ranked near South Asia
- 15 Somalia 2.39 % change on previous year compare
- 16 Mali 2.27 % change on previous year compare
- 17 Cayman Islands 2.06 % change on previous year compare
- 18 Angola 1.97 % change on previous year compare
- 19 Singapore 1.93 % change on previous year compare
- 20 South Sudan 1.93 % change on previous year compare
- 21 Mozambique 1.92 % change on previous year compare
More health data for South Asia
- Population ages 35-39, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 80 and above, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 35-39, male, annual growth rate 0.9874 % change on previous year (2025)
- Population ages 80 and above, female, annual growth rate 4.12 % change on previous year (2025)
- Population ages 75-79, male, per capita 0.0058 units per person (2025)
- Population ages 75-79, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 75-79, male, annual growth rate 6.75 % change on previous year (2025)
- Population ages 75-79, female, per capita 0.0067 units per person (2025)
- Population ages 75-79, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 70-74, female, per unit of GDP 0 units per US$ of GDP (2025)
Frequently asked questions
- What is population ages 00-04, female, annual growth rate in South Asia?
- Population ages 00-04, female, annual growth rate in South Asia was -0.2599 % change on previous year in 2025, according to Statizoid (derived).
- What is the highest population ages 00-04, female, annual growth rate recorded in South Asia?
- The highest recorded value was 2.31 % change on previous year in 1964.
- What is the lowest population ages 00-04, female, annual growth rate recorded in South Asia?
- The lowest recorded value was -1.15 % change on previous year in 2015.
- How does South Asia rank for population ages 00-04, female, annual growth rate?
- South Asia ranks 18th out of 43 groups with data for 2025.
- Is population ages 00-04, female, annual growth rate rising or falling in South Asia?
- Over the last ten years it is up 77.4%. The long-run trend across the full record is volatile.
- Where does this South Asia data come from?
- The figures come from Statizoid (derived), published as part of Population ages 00-04, female, annual growth rate. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 65 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
The year-on-year percentage change in Population ages 00-04, female. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Population ages 00-04, female World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
The year-on-year percentage change in Population ages 00-04, female. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.