Population ages 35-39, female, annual growth rate in High income
High income: Population ages 35-39, female, annual growth rate was -0.0602 % change on previous year in 2025. ◆ Volatile
Population ages 35-39, female, annual growth rate in High income, 1961–2025
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
High income recorded -0.0602 % change on previous year for population ages 35-39, female, annual growth rate in 2025.
That represents a change of down 114.1% on the previous year and down 110.0% over ten years.
Over the whole period, population ages 35-39, female, annual growth rate in High income peaked at 5.46 % change on previous year in 1985 and was at its lowest, -1.86 % change on previous year, in 1980.
That places High income 37th out of 43 groups with data for 2025, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Population ages 35-39, female, annual growth rate in High income, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1961 | 1.66 % change on previous year | — |
| 1962 | 1.24 % change on previous year | -25.1% |
| 1963 | 0.9063 % change on previous year | -27.0% |
| 1964 | 0.6115 % change on previous year | -32.5% |
| 1965 | 0.2319 % change on previous year | -62.1% |
| 1966 | -0.2881 % change on previous year | -224.2% |
| 1967 | -0.7839 % change on previous year | +172.1% |
| 1968 | -1.37 % change on previous year | +75.2% |
| 1969 | -1.53 % change on previous year | +11.2% |
| 1970 | -0.8928 % change on previous year | -41.5% |
| 1971 | 0.1966 % change on previous year | -122.0% |
| 1972 | 0.9636 % change on previous year | +390.2% |
| 1973 | 1.62 % change on previous year | +68.4% |
| 1974 | 2.11 % change on previous year | +30.3% |
| 1975 | 1.74 % change on previous year | -17.6% |
| 1976 | 0.9434 % change on previous year | -45.8% |
| 1977 | -0.1577 % change on previous year | -116.7% |
| 1978 | -0.8811 % change on previous year | +458.7% |
| 1979 | -1.34 % change on previous year | +52.6% |
| 1980 | -1.86 % change on previous year | +38.5% |
| 1981 | 0.521 % change on previous year | -128.0% |
| 1982 | 4.15 % change on previous year | +695.9% |
| 1983 | 5.25 % change on previous year | +26.6% |
| 1984 | 5.41 % change on previous year | +3.0% |
| 1985 | 5.46 % change on previous year | +1.0% |
| 1986 | 3.35 % change on previous year | -38.7% |
| 1987 | 1.08 % change on previous year | -67.6% |
| 1988 | 0.624 % change on previous year | -42.4% |
| 1989 | 0.6752 % change on previous year | +8.2% |
| 1990 | 0.9885 % change on previous year | +46.4% |
| 1991 | 1.4 % change on previous year | +41.7% |
| 1992 | 1.31 % change on previous year | -6.5% |
| 1993 | 1.39 % change on previous year | +6.4% |
| 1994 | 1.45 % change on previous year | +4.2% |
| 1995 | 1.2 % change on previous year | -17.5% |
| 1996 | 1.01 % change on previous year | -15.3% |
| 1997 | 0.7131 % change on previous year | -29.7% |
| 1998 | 0.3855 % change on previous year | -45.9% |
| 1999 | 0.086 % change on previous year | -77.7% |
| 2000 | -0.3891 % change on previous year | -552.5% |
| 2001 | -1.01 % change on previous year | +158.9% |
| 2002 | -1.01 % change on previous year | -0.2% |
| 2003 | -0.7325 % change on previous year | -27.1% |
| 2004 | -0.6464 % change on previous year | -11.7% |
| 2005 | -0.1978 % change on previous year | -69.4% |
| 2006 | 0.5855 % change on previous year | -396.0% |
| 2007 | 0.6058 % change on previous year | +3.5% |
| 2008 | 0.1128 % change on previous year | -81.4% |
| 2009 | -0.1091 % change on previous year | -196.7% |
| 2010 | -0.483 % change on previous year | +342.9% |
| 2011 | -0.7131 % change on previous year | +47.6% |
| 2012 | -0.3805 % change on previous year | -46.6% |
| 2013 | -0.0969 % change on previous year | -74.5% |
| 2014 | 0.1324 % change on previous year | -236.7% |
| 2015 | 0.6023 % change on previous year | +354.9% |
| 2016 | 0.6799 % change on previous year | +12.9% |
| 2017 | 0.4986 % change on previous year | -26.7% |
| 2018 | 0.4804 % change on previous year | -3.6% |
| 2019 | 0.26 % change on previous year | -45.9% |
| 2020 | -0.0902 % change on previous year | -134.7% |
| 2021 | -0.327 % change on previous year | +262.3% |
| 2022 | 0.3817 % change on previous year | -216.7% |
| 2023 | 0.6023 % change on previous year | +57.8% |
| 2024 | 0.4271 % change on previous year | -29.1% |
| 2025 | -0.0602 % change on previous year | -114.1% |
Biggest year-on-year movements
Years where Population ages 35-39, female, annual growth rate in High income changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 1982 | +695.9% | 0.521 % change on previous year | 4.15 % change on previous year |
| 2000 | -552.5% | 0.086 % change on previous year | -0.3891 % change on previous year |
| 1978 | -458.7% | -0.1577 % change on previous year | -0.8811 % change on previous year |
| 2006 | +396.0% | -0.1978 % change on previous year | 0.5855 % change on previous year |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 0.0751 % change on previous year | -1.53 % change on previous year | 1.66 % change on previous year | 9 |
| 1970s | 0.4306 % change on previous year | -1.34 % change on previous year | 2.11 % change on previous year | 10 |
| 1980s | 2.46 % change on previous year | -1.86 % change on previous year | 5.46 % change on previous year | 10 |
| 1990s | 0.994 % change on previous year | 0.086 % change on previous year | 1.45 % change on previous year | 10 |
| 2000s | -0.2784 % change on previous year | -1.01 % change on previous year | 0.6058 % change on previous year | 10 |
| 2010s | 0.098 % change on previous year | -0.7131 % change on previous year | 0.6799 % change on previous year | 10 |
| 2020s | 0.1556 % change on previous year | -0.327 % change on previous year | 0.6023 % change on previous year | 6 |
Countries ranked near High income
- 34 Cameroon 3.32 % change on previous year compare
- 35 Micronesia (country) 3.32 % change on previous year compare
- 36 Mauritius 3.3 % change on previous year compare
- 37 Kenya 3.28 % change on previous year compare
- 38 Zambia 3.17 % change on previous year compare
- 39 China 3.16 % change on previous year compare
- 40 Guyana 3.13 % change on previous year compare
More health data for High income
- Population ages 30-34, male, per unit of GDP 0 units per US$ of GDP (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 35-39, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 30-34, male, per capita 0.0351 units per person (2025)
- Population ages 25-29, male, per unit of GDP 0 units per US$ of GDP (2025)
Frequently asked questions
- What is population ages 35-39, female, annual growth rate in High income?
- Population ages 35-39, female, annual growth rate in High income was -0.0602 % change on previous year in 2025, according to Statizoid (derived).
- What is the highest population ages 35-39, female, annual growth rate recorded in High income?
- The highest recorded value was 5.46 % change on previous year in 1985.
- What is the lowest population ages 35-39, female, annual growth rate recorded in High income?
- The lowest recorded value was -1.86 % change on previous year in 1980.
- How does High income rank for population ages 35-39, female, annual growth rate?
- High income ranks 37th out of 43 groups with data for 2025.
- Is population ages 35-39, female, annual growth rate rising or falling in High income?
- Over the last ten years it is down 110.0%. 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 35-39, 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 35-39, female. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Population ages 35-39, female 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 35-39, female. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.