Population ages 0-14, male, annual growth rate in South Asia
South Asia: Population ages 0-14, male, annual growth rate was -0.8925 % change on previous year in 2025. ◆ Volatile
Latest (2025)
-0.8925 % change on previous year
Change on year
down 3.1%
Rank
31st
of 45 groups
All-time high
3.21 % change on previous year
in 1961
All-time low
-0.8925 % change on previous year
in 2025
Years of data
65
1961–2025
Population ages 0-14, male, annual growth rate in South Asia, 1961–2025
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
In 2025, population ages 0-14, male, annual growth rate in South Asia stood at -0.8925 % change on previous year. That is the lowest value across all 65 years on record.
Compared with earlier readings it is down 3.1% on the previous year and down 32.0% over ten years.
Over the whole period, population ages 0-14, male, annual growth rate in South Asia peaked at 3.21 % change on previous year in 1961 and was at its lowest, -0.8925 % change on previous year, in 2025.
That places South Asia 31st out of 45 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 0-14, male, annual growth rate in South Asia, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1961 | 3.21 % change on previous year | — |
| 1962 | 3.2 % change on previous year | -0.6% |
| 1963 | 3.16 % change on previous year | -1.2% |
| 1964 | 2.89 % change on previous year | -8.4% |
| 1965 | 2.5 % change on previous year | -13.5% |
| 1966 | 2.29 % change on previous year | -8.4% |
| 1967 | 2.2 % change on previous year | -4.1% |
| 1968 | 2.17 % change on previous year | -1.4% |
| 1969 | 2.12 % change on previous year | -2.1% |
| 1970 | 2.03 % change on previous year | -4.1% |
| 1971 | 1.92 % change on previous year | -5.4% |
| 1972 | 1.96 % change on previous year | +1.7% |
| 1973 | 2.07 % change on previous year | +5.6% |
| 1974 | 2.09 % change on previous year | +1.1% |
| 1975 | 2.04 % change on previous year | -2.2% |
| 1976 | 2.01 % change on previous year | -1.7% |
| 1977 | 2 % change on previous year | -0.3% |
| 1978 | 1.97 % change on previous year | -1.7% |
| 1979 | 2.01 % change on previous year | +2.2% |
| 1980 | 2.12 % change on previous year | +5.4% |
| 1981 | 2.2 % change on previous year | +3.9% |
| 1982 | 2.2 % change on previous year | +0.1% |
| 1983 | 2.16 % change on previous year | -1.8% |
| 1984 | 2.15 % change on previous year | -0.3% |
| 1985 | 2.13 % change on previous year | -1.2% |
| 1986 | 2.07 % change on previous year | -2.7% |
| 1987 | 1.97 % change on previous year | -5.0% |
| 1988 | 1.84 % change on previous year | -6.5% |
| 1989 | 1.74 % change on previous year | -5.4% |
| 1990 | 1.65 % change on previous year | -4.9% |
| 1991 | 1.56 % change on previous year | -5.9% |
| 1992 | 1.48 % change on previous year | -4.9% |
| 1993 | 1.41 % change on previous year | -4.6% |
| 1994 | 1.31 % change on previous year | -6.9% |
| 1995 | 1.2 % change on previous year | -8.4% |
| 1996 | 1.09 % change on previous year | -9.6% |
| 1997 | 1.01 % change on previous year | -7.4% |
| 1998 | 0.9435 % change on previous year | -6.3% |
| 1999 | 0.8621 % change on previous year | -8.6% |
| 2000 | 0.8122 % change on previous year | -5.8% |
| 2001 | 0.8009 % change on previous year | -1.4% |
| 2002 | 0.7449 % change on previous year | -7.0% |
| 2003 | 0.6409 % change on previous year | -14.0% |
| 2004 | 0.5397 % change on previous year | -15.8% |
| 2005 | 0.42 % change on previous year | -22.2% |
| 2006 | 0.2833 % change on previous year | -32.5% |
| 2007 | 0.164 % change on previous year | -42.1% |
| 2008 | 0.0814 % change on previous year | -50.3% |
| 2009 | 0.0335 % change on previous year | -58.8% |
| 2010 | -0.0449 % change on previous year | -233.7% |
| 2011 | -0.1451 % change on previous year | +223.5% |
| 2012 | -0.2356 % change on previous year | +62.4% |
| 2013 | -0.3873 % change on previous year | +64.4% |
| 2014 | -0.5245 % change on previous year | +35.4% |
| 2015 | -0.676 % change on previous year | +28.9% |
| 2016 | -0.72 % change on previous year | +6.5% |
| 2017 | -0.764 % change on previous year | +6.1% |
| 2018 | -0.7399 % change on previous year | -3.2% |
| 2019 | -0.7104 % change on previous year | -4.0% |
| 2020 | -0.7463 % change on previous year | +5.1% |
| 2021 | -0.7351 % change on previous year | -1.5% |
| 2022 | -0.7736 % change on previous year | +5.2% |
| 2023 | -0.8274 % change on previous year | +7.0% |
| 2024 | -0.8656 % change on previous year | +4.6% |
| 2025 | -0.8925 % change on previous year | +3.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 2.64 % change on previous year | 2.12 % change on previous year | 3.21 % change on previous year | 9 |
| 1970s | 2.01 % change on previous year | 1.92 % change on previous year | 2.09 % change on previous year | 10 |
| 1980s | 2.06 % change on previous year | 1.74 % change on previous year | 2.2 % change on previous year | 10 |
| 1990s | 1.25 % change on previous year | 0.8621 % change on previous year | 1.65 % change on previous year | 10 |
| 2000s | 0.4521 % change on previous year | 0.0335 % change on previous year | 0.8122 % change on previous year | 10 |
| 2010s | -0.4948 % change on previous year | -0.764 % change on previous year | -0.0449 % change on previous year | 10 |
| 2020s | -0.8067 % change on previous year | -0.8925 % change on previous year | -0.7351 % change on previous year | 6 |
Countries ranked near South Asia
- 28 Monaco 1.52 % change on previous year compare
- 29 Gabon 1.48 % change on previous year compare
- 30 Guinea 1.46 % change on previous year compare
- 31 Vanuatu 1.33 % change on previous year compare
- 32 Rwanda 1.31 % change on previous year compare
- 33 Saint Kitts and Nevis 1.29 % change on previous year compare
- 34 Syrian Arab Republic 1.28 % change on previous year compare
More health data for South Asia
- Population ages 0-14, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 0-14, total, per capita 0.2459 units per person (2025)
- Population ages 0-14, total, per unit of GDP 0.0001 units per US$ of GDP (2025)
- Population ages 0-14, total, annual growth rate -0.7947 % change on previous year (2025)
- Population ages 0-14, male, per capita 0.1278 units per person (2025)
- Population ages 0-14, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 0-14, female, per capita 0.1181 units per person (2025)
- Population ages 80 and above, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 80 and above, female, per capita 0.0064 units per person (2025)
- Population ages 80 and above, male, annual growth rate 4.63 % change on previous year (2025)
Frequently asked questions
- What is population ages 0-14, male, annual growth rate in South Asia?
- Population ages 0-14, male, annual growth rate in South Asia was -0.8925 % change on previous year in 2025, according to Statizoid (derived).
- What is the highest population ages 0-14, male, annual growth rate recorded in South Asia?
- The highest recorded value was 3.21 % change on previous year in 1961.
- What is the lowest population ages 0-14, male, annual growth rate recorded in South Asia?
- The lowest recorded value was -0.8925 % change on previous year in 2025.
- How does South Asia rank for population ages 0-14, male, annual growth rate?
- South Asia ranks 31st out of 45 groups with data for 2025.
- Is population ages 0-14, male, annual growth rate rising or falling in South Asia?
- Over the last ten years it is down 32.0%. 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 0-14, 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 0-14, male. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Population ages 0-14, male World Population Prospects, United Nations (UN), publisher: UN Population Division
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 0-14, male. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.