Population ages 0-14, female, annual growth rate in High income
High income: Population ages 0-14, female, annual growth rate was -0.8874 % change on previous year in 2025. ◆ Volatile
Population ages 0-14, female, annual growth rate in High income, 1961–2025
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
High income recorded -0.8874 % change on previous year for population ages 0-14, female, annual growth rate in 2025.
That represents a change of down 26.2% on the previous year and down 304.2% over ten years.
Over the whole period, population ages 0-14, female, annual growth rate in High income peaked at 1.4 % change on previous year in 1961 and was at its lowest, -0.9584 % change on previous year, in 2021.
That places High income 33rd 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, female, annual growth rate in High income, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1961 | 1.4 % change on previous year | — |
| 1962 | 0.6731 % change on previous year | -51.8% |
| 1963 | 0.4781 % change on previous year | -29.0% |
| 1964 | 0.3192 % change on previous year | -33.2% |
| 1965 | 0.2099 % change on previous year | -34.2% |
| 1966 | 0.047 % change on previous year | -77.6% |
| 1967 | 0.0276 % change on previous year | -41.3% |
| 1968 | 0.0387 % change on previous year | +40.5% |
| 1969 | -0.1608 % change on previous year | -515.2% |
| 1970 | -0.302 % change on previous year | +87.8% |
| 1971 | -0.1937 % change on previous year | -35.9% |
| 1972 | -0.353 % change on previous year | +82.2% |
| 1973 | -0.4851 % change on previous year | +37.4% |
| 1974 | -0.5714 % change on previous year | +17.8% |
| 1975 | -0.6704 % change on previous year | +17.3% |
| 1976 | -0.7737 % change on previous year | +15.4% |
| 1977 | -0.7566 % change on previous year | -2.2% |
| 1978 | -0.7305 % change on previous year | -3.4% |
| 1979 | -0.645 % change on previous year | -11.7% |
| 1980 | -0.4783 % change on previous year | -25.9% |
| 1981 | -0.2866 % change on previous year | -40.1% |
| 1982 | -0.2858 % change on previous year | -0.3% |
| 1983 | -0.3352 % change on previous year | +17.3% |
| 1984 | -0.3683 % change on previous year | +9.9% |
| 1985 | -0.437 % change on previous year | +18.7% |
| 1986 | -0.4639 % change on previous year | +6.2% |
| 1987 | -0.3892 % change on previous year | -16.1% |
| 1988 | -0.2006 % change on previous year | -48.4% |
| 1989 | -0.1205 % change on previous year | -40.0% |
| 1990 | -0.2974 % change on previous year | +146.9% |
| 1991 | -0.1978 % change on previous year | -33.5% |
| 1992 | -0.1851 % change on previous year | -6.4% |
| 1993 | -0.3151 % change on previous year | +70.2% |
| 1994 | -0.4568 % change on previous year | +45.0% |
| 1995 | -0.6218 % change on previous year | +36.1% |
| 1996 | -0.6756 % change on previous year | +8.7% |
| 1997 | -0.7204 % change on previous year | +6.6% |
| 1998 | -0.8337 % change on previous year | +15.7% |
| 1999 | -0.8823 % change on previous year | +5.8% |
| 2000 | -0.8645 % change on previous year | -2.0% |
| 2001 | -0.8729 % change on previous year | +1.0% |
| 2002 | -0.8631 % change on previous year | -1.1% |
| 2003 | -0.8107 % change on previous year | -6.1% |
| 2004 | -0.7791 % change on previous year | -3.9% |
| 2005 | -0.7718 % change on previous year | -0.9% |
| 2006 | -0.6244 % change on previous year | -19.1% |
| 2007 | -0.335 % change on previous year | -46.3% |
| 2008 | -0.0009 % change on previous year | -99.7% |
| 2009 | 0.1066 % change on previous year | -11800.1% |
| 2010 | -0.0537 % change on previous year | -150.4% |
| 2011 | 0.0865 % change on previous year | -261.1% |
| 2012 | 0.2675 % change on previous year | +209.2% |
| 2013 | 0.3239 % change on previous year | +21.1% |
| 2014 | 0.3301 % change on previous year | +1.9% |
| 2015 | 0.4345 % change on previous year | +31.6% |
| 2016 | 0.4048 % change on previous year | -6.8% |
| 2017 | 0.2485 % change on previous year | -38.6% |
| 2018 | -0.0223 % change on previous year | -109.0% |
| 2019 | -0.1757 % change on previous year | +688.2% |
| 2020 | -0.3404 % change on previous year | +93.7% |
| 2021 | -0.9584 % change on previous year | +181.5% |
| 2022 | -0.621 % change on previous year | -35.2% |
| 2023 | -0.6631 % change on previous year | +6.8% |
| 2024 | -0.7033 % change on previous year | +6.1% |
| 2025 | -0.8874 % change on previous year | +26.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 0.3367 % change on previous year | -0.1608 % change on previous year | 1.4 % change on previous year | 9 |
| 1970s | -0.5481 % change on previous year | -0.7737 % change on previous year | -0.1937 % change on previous year | 10 |
| 1980s | -0.3365 % change on previous year | -0.4783 % change on previous year | -0.1205 % change on previous year | 10 |
| 1990s | -0.5186 % change on previous year | -0.8823 % change on previous year | -0.1851 % change on previous year | 10 |
| 2000s | -0.5816 % change on previous year | -0.8729 % change on previous year | 0.1066 % change on previous year | 10 |
| 2010s | 0.1844 % change on previous year | -0.1757 % change on previous year | 0.4345 % change on previous year | 10 |
| 2020s | -0.6956 % change on previous year | -0.9584 % change on previous year | -0.3404 % change on previous year | 6 |
Countries ranked near High income
- 30 Guinea 1.45 % change on previous year compare
- 31 Gabon 1.44 % change on previous year compare
- 32 Senegal 1.37 % change on previous year compare
- 33 Monaco 1.36 % change on previous year compare
- 34 Singapore 1.32 % change on previous year compare
- 35 Togo 1.32 % change on previous year compare
- 36 Vanuatu 1.3 % change on previous year compare
More health data for High income
- Population ages 80 and above, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 0-14, male, annual growth rate -0.922 % change on previous year (2025)
- Population ages 0-14, female, per capita 0.0754 units per person (2025)
- Population ages 0-14, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 80 and above, male, per capita 0.02 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, male, annual growth rate 2.33 % change on previous year (2025)
- Population ages 80 and above, female, per capita 0.0328 units per person (2025)
- Population ages 75-79, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 75-79, female, per capita 0.0225 units per person (2025)
Frequently asked questions
- What is population ages 0-14, female, annual growth rate in High income?
- Population ages 0-14, female, annual growth rate in High income was -0.8874 % change on previous year in 2025, according to Statizoid (derived).
- What is the highest population ages 0-14, female, annual growth rate recorded in High income?
- The highest recorded value was 1.4 % change on previous year in 1961.
- What is the lowest population ages 0-14, female, annual growth rate recorded in High income?
- The lowest recorded value was -0.9584 % change on previous year in 2021.
- How does High income rank for population ages 0-14, female, annual growth rate?
- High income ranks 33rd out of 45 groups with data for 2025.
- Is population ages 0-14, female, annual growth rate rising or falling in High income?
- Over the last ten years it is down 304.2%. 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 0-14, 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 0-14, female. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Population ages 0-14, female 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, female. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.