Population ages 00-04, male, annual growth rate in High income
High income: Population ages 00-04, male, annual growth rate was -0.8635 % change on previous year in 2025. ◆ Volatile
Population ages 00-04, male, annual growth rate in High income, 1961–2025
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
High income recorded -0.8635 % change on previous year for population ages 00-04, male, annual growth rate in 2025.
The figure is up 29.8% on the previous year and down 913.6% over ten years.
Over the whole period, population ages 00-04, male, annual growth rate in High income peaked at 1.19 % change on previous year in 2008 and was at its lowest, -2.89 % change on previous year, in 2021.
High income ranks 24th 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 High income, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1961 | 0.5606 % change on previous year | — |
| 1962 | 0.4645 % change on previous year | -17.1% |
| 1963 | 0.1654 % change on previous year | -64.4% |
| 1964 | -0.2554 % change on previous year | -254.5% |
| 1965 | -0.7186 % change on previous year | +181.3% |
| 1966 | -1.33 % change on previous year | +84.4% |
| 1967 | -1.32 % change on previous year | -0.4% |
| 1968 | -1.08 % change on previous year | -18.3% |
| 1969 | -1.2 % change on previous year | +11.5% |
| 1970 | -0.744 % change on previous year | -38.1% |
| 1971 | 0.2426 % change on previous year | -132.6% |
| 1972 | 0.181 % change on previous year | -25.4% |
| 1973 | -0.2531 % change on previous year | -239.9% |
| 1974 | -0.3917 % change on previous year | +54.8% |
| 1975 | -0.8253 % change on previous year | +110.7% |
| 1976 | -1.25 % change on previous year | +52.0% |
| 1977 | -1.06 % change on previous year | -15.7% |
| 1978 | -0.684 % change on previous year | -35.4% |
| 1979 | -0.3762 % change on previous year | -45.0% |
| 1980 | -0.0021 % change on previous year | -99.4% |
| 1981 | 0.094 % change on previous year | -4589.0% |
| 1982 | 0.0758 % change on previous year | -19.4% |
| 1983 | 0.1851 % change on previous year | +144.3% |
| 1984 | -0.0652 % change on previous year | -135.2% |
| 1985 | -0.4271 % change on previous year | +555.6% |
| 1986 | -0.2924 % change on previous year | -31.5% |
| 1987 | -0.1313 % change on previous year | -55.1% |
| 1988 | -0.2494 % change on previous year | +89.9% |
| 1989 | -0.2327 % change on previous year | -6.7% |
| 1990 | -0.4968 % change on previous year | +113.5% |
| 1991 | -0.6742 % change on previous year | +35.7% |
| 1992 | -0.8093 % change on previous year | +20.1% |
| 1993 | -1.12 % change on previous year | +38.1% |
| 1994 | -1.38 % change on previous year | +23.1% |
| 1995 | -1.64 % change on previous year | +19.4% |
| 1996 | -1.76 % change on previous year | +7.3% |
| 1997 | -1.56 % change on previous year | -11.3% |
| 1998 | -1.21 % change on previous year | -22.9% |
| 1999 | -0.9418 % change on previous year | -22.0% |
| 2000 | -0.6355 % change on previous year | -32.5% |
| 2001 | -0.3622 % change on previous year | -43.0% |
| 2002 | -0.2285 % change on previous year | -36.9% |
| 2003 | -0.0294 % change on previous year | -87.1% |
| 2004 | 0.1747 % change on previous year | -693.8% |
| 2005 | 0.101 % change on previous year | -42.2% |
| 2006 | 0.1948 % change on previous year | +92.9% |
| 2007 | 0.7939 % change on previous year | +307.6% |
| 2008 | 1.19 % change on previous year | +49.4% |
| 2009 | 1.11 % change on previous year | -6.1% |
| 2010 | 0.64 % change on previous year | -42.5% |
| 2011 | 0.4296 % change on previous year | -32.9% |
| 2012 | 0.2274 % change on previous year | -47.1% |
| 2013 | -0.0933 % change on previous year | -141.0% |
| 2014 | -0.2215 % change on previous year | +137.4% |
| 2015 | 0.1061 % change on previous year | -147.9% |
| 2016 | 0.0874 % change on previous year | -17.7% |
| 2017 | -0.5381 % change on previous year | -715.8% |
| 2018 | -1.14 % change on previous year | +111.2% |
| 2019 | -1.52 % change on previous year | +34.1% |
| 2020 | -2.13 % change on previous year | +39.9% |
| 2021 | -2.89 % change on previous year | +35.4% |
| 2022 | -2.08 % change on previous year | -28.0% |
| 2023 | -1.63 % change on previous year | -21.4% |
| 2024 | -1.23 % change on previous year | -24.7% |
| 2025 | -0.8635 % change on previous year | -29.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | -0.5233 % change on previous year | -1.33 % change on previous year | 0.5606 % change on previous year | 9 |
| 1970s | -0.5163 % change on previous year | -1.25 % change on previous year | 0.2426 % change on previous year | 10 |
| 1980s | -0.1045 % change on previous year | -0.4271 % change on previous year | 0.1851 % change on previous year | 10 |
| 1990s | -1.16 % change on previous year | -1.76 % change on previous year | -0.4968 % change on previous year | 10 |
| 2000s | 0.2308 % change on previous year | -0.6355 % change on previous year | 1.19 % change on previous year | 10 |
| 2010s | -0.2023 % change on previous year | -1.52 % change on previous year | 0.64 % change on previous year | 10 |
| 2020s | -1.8 % change on previous year | -2.89 % change on previous year | -0.8635 % change on previous year | 6 |
Countries ranked near High income
- 21 Angola 2.01 % change on previous year compare
- 22 Mozambique 1.92 % change on previous year compare
- 23 South Sudan 1.92 % change on previous year compare
- 24 Yemen 1.89 % change on previous year compare
- 25 Tanzania, United Republic of 1.89 % change on previous year compare
- 26 Uzbekistan 1.77 % change on previous year compare
- 27 Mauritania 1.77 % change on previous year compare
More health data for High income
- Population ages 35-39, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 40-44, male, annual growth rate 0.1569 % change on previous year (2025)
- Population ages 40-44, female, per capita 0.0338 units per person (2025)
- Population ages 40-44, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 40-44, female, annual growth rate -0.0702 % change on previous year (2025)
- Population ages 35-39, male, per capita 0.0367 units per person (2025)
- Population ages 35-39, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 35-39, male, annual growth rate 0.4572 % change on previous year (2025)
- Population ages 35-39, female, per capita 0.0337 units per person (2025)
- Population ages 30-34, female, annual growth rate -2 % change on previous year (2025)
Frequently asked questions
- What is population ages 00-04, male, annual growth rate in High income?
- Population ages 00-04, male, annual growth rate in High income was -0.8635 % change on previous year in 2025, according to Statizoid (derived).
- What is the highest population ages 00-04, male, annual growth rate recorded in High income?
- The highest recorded value was 1.19 % change on previous year in 2008.
- What is the lowest population ages 00-04, male, annual growth rate recorded in High income?
- The lowest recorded value was -2.89 % change on previous year in 2021.
- How does High income rank for population ages 00-04, male, annual growth rate?
- High income ranks 24th out of 43 groups with data for 2025.
- Is population ages 00-04, male, annual growth rate rising or falling in High income?
- Over the last ten years it is down 913.6%. 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 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.