Population ages 00-04, male, annual growth rate in South Asia
South Asia: Population ages 00-04, male, annual growth rate was -0.4732 % change on previous year in 2025. ◆ Volatile
Latest (2025)
-0.4732 % change on previous year
Change on year
up 37.3%
Rank
18th
of 43 groups
All-time high
2.28 % change on previous year
in 1964
All-time low
-1.21 % change on previous year
in 2015
Years of data
65
1961–2025
Population ages 00-04, male, annual growth rate in South Asia, 1961–2025
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
South Asia recorded -0.4732 % change on previous year for population ages 00-04, male, annual growth rate in 2025.
The figure is up 37.3% on the previous year and up 61.0% over ten years.
Over the whole period, population ages 00-04, male, annual growth rate in South Asia peaked at 2.28 % change on previous year in 1964 and was at its lowest, -1.21 % change on previous year, in 2015.
South Asia ranks 18th of 43 groups on this measure, 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, male, annual growth rate in South Asia, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1961 | 2.25 % change on previous year | — |
| 1962 | 2.24 % change on previous year | -0.4% |
| 1963 | 2.25 % change on previous year | +0.5% |
| 1964 | 2.28 % change on previous year | +1.1% |
| 1965 | 2.03 % change on previous year | -11.1% |
| 1966 | 1.71 % change on previous year | -15.5% |
| 1967 | 1.63 % change on previous year | -4.6% |
| 1968 | 1.72 % change on previous year | +5.4% |
| 1969 | 1.8 % change on previous year | +4.4% |
| 1970 | 1.79 % change on previous year | -0.4% |
| 1971 | 1.74 % change on previous year | -3.0% |
| 1972 | 1.87 % change on previous year | +7.6% |
| 1973 | 2.09 % change on previous year | +11.9% |
| 1974 | 2.18 % change on previous year | +4.4% |
| 1975 | 2.2 % change on previous year | +0.8% |
| 1976 | 2.15 % change on previous year | -2.0% |
| 1977 | 2.03 % change on previous year | -5.8% |
| 1978 | 1.84 % change on previous year | -9.2% |
| 1979 | 1.85 % change on previous year | +0.3% |
| 1980 | 2.06 % change on previous year | +11.4% |
| 1981 | 2.15 % change on previous year | +4.5% |
| 1982 | 2.12 % change on previous year | -1.2% |
| 1983 | 2.14 % change on previous year | +0.6% |
| 1984 | 2.07 % change on previous year | -3.0% |
| 1985 | 1.85 % change on previous year | -10.9% |
| 1986 | 1.66 % change on previous year | -10.3% |
| 1987 | 1.5 % change on previous year | -9.2% |
| 1988 | 1.28 % change on previous year | -15.0% |
| 1989 | 1.07 % change on previous year | -16.6% |
| 1990 | 0.8682 % change on previous year | -18.5% |
| 1991 | 0.6675 % change on previous year | -23.1% |
| 1992 | 0.569 % change on previous year | -14.8% |
| 1993 | 0.5596 % change on previous year | -1.6% |
| 1994 | 0.5566 % change on previous year | -0.5% |
| 1995 | 0.623 % change on previous year | +11.9% |
| 1996 | 0.6422 % change on previous year | +3.1% |
| 1997 | 0.6568 % change on previous year | +2.3% |
| 1998 | 0.7111 % change on previous year | +8.3% |
| 1999 | 0.6896 % change on previous year | -3.0% |
| 2000 | 0.7123 % change on previous year | +3.3% |
| 2001 | 0.8109 % change on previous year | +13.8% |
| 2002 | 0.7018 % change on previous year | -13.4% |
| 2003 | 0.4149 % change on previous year | -40.9% |
| 2004 | 0.1542 % change on previous year | -62.8% |
| 2005 | -0.2519 % change on previous year | -263.4% |
| 2006 | -0.745 % change on previous year | +195.7% |
| 2007 | -1.01 % change on previous year | +35.8% |
| 2008 | -1.04 % change on previous year | +2.4% |
| 2009 | -0.912 % change on previous year | -12.0% |
| 2010 | -0.7844 % change on previous year | -14.0% |
| 2011 | -0.6898 % change on previous year | -12.1% |
| 2012 | -0.6103 % change on previous year | -11.5% |
| 2013 | -0.7097 % change on previous year | +16.3% |
| 2014 | -1.06 % change on previous year | +49.1% |
| 2015 | -1.21 % change on previous year | +14.7% |
| 2016 | -0.9282 % change on previous year | -23.5% |
| 2017 | -0.9424 % change on previous year | +1.5% |
| 2018 | -0.9251 % change on previous year | -1.8% |
| 2019 | -0.6333 % change on previous year | -31.5% |
| 2020 | -0.7499 % change on previous year | +18.4% |
| 2021 | -1.07 % change on previous year | +43.1% |
| 2022 | -0.9413 % change on previous year | -12.3% |
| 2023 | -0.7964 % change on previous year | -15.4% |
| 2024 | -0.7544 % change on previous year | -5.3% |
| 2025 | -0.4732 % change on previous year | -37.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 1.99 % change on previous year | 1.63 % change on previous year | 2.28 % change on previous year | 9 |
| 1970s | 1.97 % change on previous year | 1.74 % change on previous year | 2.2 % change on previous year | 10 |
| 1980s | 1.79 % change on previous year | 1.07 % change on previous year | 2.15 % change on previous year | 10 |
| 1990s | 0.6544 % change on previous year | 0.5566 % change on previous year | 0.8682 % change on previous year | 10 |
| 2000s | -0.1163 % change on previous year | -1.04 % change on previous year | 0.8109 % change on previous year | 10 |
| 2010s | -0.8496 % change on previous year | -1.21 % change on previous year | -0.6103 % change on previous year | 10 |
| 2020s | -0.7981 % change on previous year | -1.07 % change on previous year | -0.4732 % change on previous year | 6 |
Countries ranked near South Asia
- 15 Cayman Islands 2.46 % change on previous year compare
- 16 Somalia 2.38 % change on previous year compare
- 17 Togo 2.37 % change on previous year compare
- 18 Luxembourg 2.27 % change on previous year compare
- 19 Mali 2.19 % change on previous year compare
- 20 Oman 2.06 % change on previous year compare
- 21 Angola 2.01 % change on previous year compare
More health data for South Asia
- Population ages 50-54, male, per capita 0.0262 units per person (2025)
- Population ages 50-54, female, annual growth rate 2.35 % change on previous year (2025)
- Population ages 50-54, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 50-54, female, per capita 0.0255 units per person (2025)
- Population ages 50-54, male, annual growth rate 2.44 % change on previous year (2025)
- Population ages 50-54, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 55-59, female, per capita 0.0217 units per person (2025)
- Population ages 55-59, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 55-59, male, annual growth rate 2.2 % change on previous year (2025)
- Population ages 45-49, male, per capita 0.0305 units per person (2025)
Frequently asked questions
- What is population ages 00-04, male, annual growth rate in South Asia?
- Population ages 00-04, male, annual growth rate in South Asia was -0.4732 % change on previous year in 2025, according to Statizoid (derived).
- What is the highest population ages 00-04, male, annual growth rate recorded in South Asia?
- The highest recorded value was 2.28 % change on previous year in 1964.
- What is the lowest population ages 00-04, male, annual growth rate recorded in South Asia?
- The lowest recorded value was -1.21 % change on previous year in 2015.
- How does South Asia rank for population ages 00-04, male, annual growth rate?
- South Asia ranks 18th out of 43 groups with data for 2025.
- Is population ages 00-04, male, annual growth rate rising or falling in South Asia?
- Over the last ten years it is up 61.0%. 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, male, 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, male. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Population ages 00-04, male 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, male. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.