Population ages 25-29, male, annual growth rate in High income
High income: Population ages 25-29, male, annual growth rate was -0.4101 % change on previous year in 2025. ◆ Volatile
Population ages 25-29, male, annual growth rate in High income, 1961–2025
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
In 2025, population ages 25-29, male, annual growth rate in High income stood at -0.4101 % change on previous year.
The figure is up 31.6% on the previous year and down 170.6% over ten years.
Over the whole period, population ages 25-29, male, annual growth rate in High income peaked at 5.74 % change on previous year in 1973 and was at its lowest, -1.76 % change on previous year, in 2021.
High income ranks 32nd 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 25-29, male, annual growth rate in High income, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1961 | 0.0207 % change on previous year | — |
| 1962 | 1.17 % change on previous year | +5579.7% |
| 1963 | 1.92 % change on previous year | +63.3% |
| 1964 | 2.23 % change on previous year | +16.4% |
| 1965 | 1.57 % change on previous year | -29.5% |
| 1966 | 0.8736 % change on previous year | -44.4% |
| 1967 | -0.3986 % change on previous year | -145.6% |
| 1968 | -1.18 % change on previous year | +196.9% |
| 1969 | -1.11 % change on previous year | -6.0% |
| 1970 | -1.71 % change on previous year | +53.7% |
| 1971 | 1.02 % change on previous year | -159.8% |
| 1972 | 4.81 % change on previous year | +370.4% |
| 1973 | 5.74 % change on previous year | +19.4% |
| 1974 | 5.6 % change on previous year | -2.4% |
| 1975 | 5.51 % change on previous year | -1.6% |
| 1976 | 3.32 % change on previous year | -39.7% |
| 1977 | 0.9073 % change on previous year | -72.7% |
| 1978 | 0.4461 % change on previous year | -50.8% |
| 1979 | 0.668 % change on previous year | +49.8% |
| 1980 | 1.04 % change on previous year | +55.3% |
| 1981 | 1.19 % change on previous year | +15.2% |
| 1982 | 1.08 % change on previous year | -9.4% |
| 1983 | 1.27 % change on previous year | +17.4% |
| 1984 | 1.35 % change on previous year | +6.3% |
| 1985 | 1.08 % change on previous year | -20.4% |
| 1986 | 0.9526 % change on previous year | -11.4% |
| 1987 | 0.7155 % change on previous year | -24.9% |
| 1988 | 0.1914 % change on previous year | -73.3% |
| 1989 | -0.0716 % change on previous year | -137.4% |
| 1990 | -0.3614 % change on previous year | +404.4% |
| 1991 | -0.8871 % change on previous year | +145.5% |
| 1992 | -0.9094 % change on previous year | +2.5% |
| 1993 | -0.6196 % change on previous year | -31.9% |
| 1994 | -0.4973 % change on previous year | -19.7% |
| 1995 | -0.0648 % change on previous year | -87.0% |
| 1996 | 0.5042 % change on previous year | -878.3% |
| 1997 | 0.3954 % change on previous year | -21.6% |
| 1998 | -0.1027 % change on previous year | -126.0% |
| 1999 | -0.3417 % change on previous year | +232.9% |
| 2000 | -0.6666 % change on previous year | +95.1% |
| 2001 | -0.7785 % change on previous year | +16.8% |
| 2002 | -0.4407 % change on previous year | -43.4% |
| 2003 | 0.0172 % change on previous year | -103.9% |
| 2004 | 0.3844 % change on previous year | +2135.9% |
| 2005 | 0.7594 % change on previous year | +97.6% |
| 2006 | 0.8314 % change on previous year | +9.5% |
| 2007 | 0.9362 % change on previous year | +12.6% |
| 2008 | 1.12 % change on previous year | +19.4% |
| 2009 | 0.6597 % change on previous year | -41.0% |
| 2010 | -0.0004 % change on previous year | -100.1% |
| 2011 | 0.3876 % change on previous year | -94600.2% |
| 2012 | 0.6522 % change on previous year | +68.3% |
| 2013 | 0.4475 % change on previous year | -31.4% |
| 2014 | 0.3305 % change on previous year | -26.1% |
| 2015 | 0.5806 % change on previous year | +75.6% |
| 2016 | 0.2991 % change on previous year | -48.5% |
| 2017 | -0.5779 % change on previous year | -293.2% |
| 2018 | -1.27 % change on previous year | +119.0% |
| 2019 | -1.33 % change on previous year | +5.3% |
| 2020 | -1.47 % change on previous year | +10.6% |
| 2021 | -1.76 % change on previous year | +19.4% |
| 2022 | -0.6637 % change on previous year | -62.3% |
| 2023 | -0.7307 % change on previous year | +10.1% |
| 2024 | -0.5996 % change on previous year | -17.9% |
| 2025 | -0.4101 % change on previous year | -31.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 0.5656 % change on previous year | -1.18 % change on previous year | 2.23 % change on previous year | 9 |
| 1970s | 2.63 % change on previous year | -1.71 % change on previous year | 5.74 % change on previous year | 10 |
| 1980s | 0.8802 % change on previous year | -0.0716 % change on previous year | 1.35 % change on previous year | 10 |
| 1990s | -0.2884 % change on previous year | -0.9094 % change on previous year | 0.5042 % change on previous year | 10 |
| 2000s | 0.2821 % change on previous year | -0.7785 % change on previous year | 1.12 % change on previous year | 10 |
| 2010s | -0.0478 % change on previous year | -1.33 % change on previous year | 0.6522 % change on previous year | 10 |
| 2020s | -0.9395 % change on previous year | -1.76 % change on previous year | -0.4101 % change on previous year | 6 |
Countries ranked near High income
- 29 Tanzania, United Republic of 3.27 % change on previous year compare
- 30 Mauritania 3.19 % change on previous year compare
- 31 Sierra Leone 3.18 % change on previous year compare
- 32 Kenya 3.18 % change on previous year compare
- 33 Senegal 3.15 % change on previous year compare
- 34 Uganda 3.14 % change on previous year compare
- 35 Zambia 3.12 % change on previous year compare
More health data for High income
- Population ages 45-49, female, per capita 0.0331 units per person (2025)
- Population ages 50-54, male, annual growth rate -0.2324 % change on previous year (2025)
- Population ages 50-54, female, per capita 0.0331 units per person (2025)
- Population ages 50-54, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 50-54, female, annual growth rate -0.3034 % change on previous year (2025)
- Population ages 45-49, male, per capita 0.0342 units per person (2025)
- Population ages 45-49, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 45-49, male, annual growth rate 0.7502 % change on previous year (2025)
- Population ages 40-44, male, annual growth rate 0.1569 % change on previous year (2025)
- Population ages 40-44, male, per unit of GDP 0 units per US$ of GDP (2025)
Frequently asked questions
- What is population ages 25-29, male, annual growth rate in High income?
- Population ages 25-29, male, annual growth rate in High income was -0.4101 % change on previous year in 2025, according to Statizoid (derived).
- What is the highest population ages 25-29, male, annual growth rate recorded in High income?
- The highest recorded value was 5.74 % change on previous year in 1973.
- What is the lowest population ages 25-29, male, annual growth rate recorded in High income?
- The lowest recorded value was -1.76 % change on previous year in 2021.
- How does High income rank for population ages 25-29, male, annual growth rate?
- High income ranks 32nd out of 43 groups with data for 2025.
- Is population ages 25-29, male, annual growth rate rising or falling in High income?
- Over the last ten years it is down 170.6%. The long-run trend across the full record is volatile.
- Where does this High income data come from?
- The figures come from Statizoid (derived), published as part of Population ages 25-29, 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 25-29, male. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Population ages 25-29, 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 25-29, male. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.