Population ages 35-39, female, annual growth rate in Zimbabwe
Zimbabwe: Population ages 35-39, female, annual growth rate was -4.75 % change on previous year in 2025. ◆ Volatile
Latest (2025)
-4.75 % change on previous year
Change on year
down 4.8%
World rank
214th
of 218 countries
All-time high
12.5 % change on previous year
in 1981
All-time low
-5 % change on previous year
in 1993
Years of data
65
1961–2025
Population ages 35-39, female, annual growth rate in Zimbabwe, 1961–2025
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
Zimbabwe recorded -4.75 % change on previous year for population ages 35-39, female, annual growth rate in 2025.
That represents a change of down 4.8% on the previous year and down 186.4% over ten years.
Over the whole period, population ages 35-39, female, annual growth rate in Zimbabwe peaked at 12.5 % change on previous year in 1981 and was at its lowest, -5 % change on previous year, in 1993.
Zimbabwe ranks 214th of 218 countries on this measure, 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 Zimbabwe, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1961 | 2.23 % change on previous year | — |
| 1962 | 3.45 % change on previous year | +54.5% |
| 1963 | 4.05 % change on previous year | +17.3% |
| 1964 | 3.62 % change on previous year | -10.6% |
| 1965 | 2.87 % change on previous year | -20.7% |
| 1966 | 2.29 % change on previous year | -20.0% |
| 1967 | 1.74 % change on previous year | -24.2% |
| 1968 | 1.41 % change on previous year | -18.9% |
| 1969 | 1.49 % change on previous year | +5.9% |
| 1970 | 1.34 % change on previous year | -10.5% |
| 1971 | 1.1 % change on previous year | -18.1% |
| 1972 | 1.26 % change on previous year | +15.1% |
| 1973 | 1.61 % change on previous year | +27.9% |
| 1974 | 2.25 % change on previous year | +39.4% |
| 1975 | 2.49 % change on previous year | +10.8% |
| 1976 | 2.49 % change on previous year | -0.3% |
| 1977 | 1.55 % change on previous year | -37.6% |
| 1978 | -1.25 % change on previous year | -180.4% |
| 1979 | -0.9569 % change on previous year | -23.3% |
| 1980 | 11.7 % change on previous year | -1323.1% |
| 1981 | 12.5 % change on previous year | +6.8% |
| 1982 | 4.67 % change on previous year | -62.7% |
| 1983 | 3.22 % change on previous year | -31.1% |
| 1984 | 4.98 % change on previous year | +54.9% |
| 1985 | 8.25 % change on previous year | +65.5% |
| 1986 | 8.13 % change on previous year | -1.4% |
| 1987 | 6.85 % change on previous year | -15.7% |
| 1988 | 6.56 % change on previous year | -4.3% |
| 1989 | 5.08 % change on previous year | -22.6% |
| 1990 | 2.63 % change on previous year | -48.3% |
| 1991 | 2.03 % change on previous year | -22.7% |
| 1992 | -2.27 % change on previous year | -211.9% |
| 1993 | -5 % change on previous year | +120.2% |
| 1994 | -3.55 % change on previous year | -29.0% |
| 1995 | -2.76 % change on previous year | -22.3% |
| 1996 | -1.63 % change on previous year | -41.0% |
| 1997 | -1.13 % change on previous year | -30.7% |
| 1998 | -0.6026 % change on previous year | -46.6% |
| 1999 | -0.5735 % change on previous year | -4.8% |
| 2000 | -0.8763 % change on previous year | +52.8% |
| 2001 | -0.0184 % change on previous year | -97.9% |
| 2002 | 2.21 % change on previous year | -12087.6% |
| 2003 | 4.23 % change on previous year | +91.6% |
| 2004 | 5.12 % change on previous year | +21.1% |
| 2005 | 5.65 % change on previous year | +10.2% |
| 2006 | 6.6 % change on previous year | +16.9% |
| 2007 | 6.68 % change on previous year | +1.2% |
| 2008 | 6.07 % change on previous year | -9.1% |
| 2009 | 6 % change on previous year | -1.1% |
| 2010 | 6.53 % change on previous year | +8.8% |
| 2011 | 7.01 % change on previous year | +7.3% |
| 2012 | 6.56 % change on previous year | -6.4% |
| 2013 | 6.43 % change on previous year | -2.0% |
| 2014 | 6.35 % change on previous year | -1.2% |
| 2015 | 5.5 % change on previous year | -13.5% |
| 2016 | 5.42 % change on previous year | -1.4% |
| 2017 | 5.21 % change on previous year | -3.9% |
| 2018 | 4.33 % change on previous year | -16.9% |
| 2019 | 3.85 % change on previous year | -11.2% |
| 2020 | 3.24 % change on previous year | -15.7% |
| 2021 | 1.84 % change on previous year | -43.3% |
| 2022 | -1.39 % change on previous year | -175.4% |
| 2023 | -4 % change on previous year | +188.8% |
| 2024 | -4.54 % change on previous year | +13.4% |
| 2025 | -4.75 % change on previous year | +4.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 2.57 % change on previous year | 1.41 % change on previous year | 4.05 % change on previous year | 9 |
| 1970s | 1.19 % change on previous year | -1.25 % change on previous year | 2.49 % change on previous year | 10 |
| 1980s | 7.19 % change on previous year | 3.22 % change on previous year | 12.5 % change on previous year | 10 |
| 1990s | -1.29 % change on previous year | -5 % change on previous year | 2.63 % change on previous year | 10 |
| 2000s | 4.17 % change on previous year | -0.8763 % change on previous year | 6.68 % change on previous year | 10 |
| 2010s | 5.72 % change on previous year | 3.85 % change on previous year | 7.01 % change on previous year | 10 |
| 2020s | -1.6 % change on previous year | -4.75 % change on previous year | 3.24 % change on previous year | 6 |
Countries ranked near Zimbabwe
- 211 Montenegro -3.3 % change on previous year compare
- 212 Bermuda -3.89 % change on previous year compare
- 213 Tonga -4.1 % change on previous year compare
- 215 Bosnia and Herzegovina -5.16 % change on previous year compare
- 216 Northern Mariana Islands -5.2 % change on previous year compare
- 217 Saint Martin (French Part) -8.66 % change on previous year compare
More health data for Zimbabwe
- Un projection of annual infant deaths, annual growth rate -1.39 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate 1.11 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 874.6 deaths per 1,000 people (2090)
- Number of infants who die before age 1 4,457 deaths (2100)
- Population ages 30-34, female, annual growth rate -0.14 % change on previous year (2025)
- Population ages 30-34, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 30-34, female, per capita 0.0305 units per person (2025)
- Population ages 30-34, male, annual growth rate -0.1371 % change on previous year (2025)
- Population ages 30-34, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 30-34, male, per capita 0.0251 units per person (2025)
Frequently asked questions
- What is population ages 35-39, female, annual growth rate in Zimbabwe?
- Population ages 35-39, female, annual growth rate in Zimbabwe was -4.75 % change on previous year in 2025, according to Statizoid (derived).
- What is the highest population ages 35-39, female, annual growth rate recorded in Zimbabwe?
- The highest recorded value was 12.5 % change on previous year in 1981.
- What is the lowest population ages 35-39, female, annual growth rate recorded in Zimbabwe?
- The lowest recorded value was -5 % change on previous year in 1993.
- How does Zimbabwe rank for population ages 35-39, female, annual growth rate?
- Zimbabwe ranks 214th out of 218 countries with data for 2025.
- Is population ages 35-39, female, annual growth rate rising or falling in Zimbabwe?
- Over the last ten years it is down 186.4%. The long-run trend across the full record is volatile.
- Where does this Zimbabwe 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.