Population ages 30-34, male, annual growth rate in Zimbabwe
Zimbabwe: Population ages 30-34, male, annual growth rate was -0.1371 % change on previous year in 2025. ◆ Volatile
Latest (2025)
-0.1371 % change on previous year
Change on year
up 84.6%
World rank
120th
of 218 countries
All-time high
23.3 % change on previous year
in 1981
All-time low
-8.73 % change on previous year
in 1978
Years of data
65
1961–2025
Population ages 30-34, male, annual growth rate in Zimbabwe, 1961–2025
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
Zimbabwe recorded -0.1371 % change on previous year for population ages 30-34, male, annual growth rate in 2025.
The figure is up 84.6% on the previous year and down 103.7% over ten years.
Over the whole period, population ages 30-34, male, annual growth rate in Zimbabwe peaked at 23.3 % change on previous year in 1981 and was at its lowest, -8.73 % change on previous year, in 1978.
That places Zimbabwe 120th out of 218 countries 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 30-34, male, annual growth rate in Zimbabwe, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1961 | 2.02 % change on previous year | — |
| 1962 | 1.6 % change on previous year | -20.9% |
| 1963 | 1.38 % change on previous year | -13.8% |
| 1964 | 1.53 % change on previous year | +11.3% |
| 1965 | 1.86 % change on previous year | +21.5% |
| 1966 | 2.08 % change on previous year | +11.9% |
| 1967 | 2.23 % change on previous year | +7.2% |
| 1968 | 2.49 % change on previous year | +11.3% |
| 1969 | 2.89 % change on previous year | +16.1% |
| 1970 | 2.62 % change on previous year | -9.3% |
| 1971 | 2.27 % change on previous year | -13.2% |
| 1972 | 2.6 % change on previous year | +14.6% |
| 1973 | 2.91 % change on previous year | +11.8% |
| 1974 | 2.98 % change on previous year | +2.2% |
| 1975 | 2.3 % change on previous year | -22.6% |
| 1976 | 1.24 % change on previous year | -46.3% |
| 1977 | -1.83 % change on previous year | -248.1% |
| 1978 | -8.73 % change on previous year | +376.5% |
| 1979 | -6.57 % change on previous year | -24.7% |
| 1980 | 21.96 % change on previous year | -434.1% |
| 1981 | 23.3 % change on previous year | +6.1% |
| 1982 | 10.21 % change on previous year | -56.2% |
| 1983 | 9.56 % change on previous year | -6.4% |
| 1984 | 5.92 % change on previous year | -38.0% |
| 1985 | 3.12 % change on previous year | -47.3% |
| 1986 | 2.63 % change on previous year | -15.8% |
| 1987 | 2.1 % change on previous year | -20.2% |
| 1988 | 1.75 % change on previous year | -16.8% |
| 1989 | 1.85 % change on previous year | +5.9% |
| 1990 | 1.99 % change on previous year | +7.6% |
| 1991 | 2.12 % change on previous year | +6.7% |
| 1992 | 1.04 % change on previous year | -51.0% |
| 1993 | -2.26 % change on previous year | -317.4% |
| 1994 | -3.55 % change on previous year | +56.8% |
| 1995 | -0.7109 % change on previous year | -80.0% |
| 1996 | 1.96 % change on previous year | -375.1% |
| 1997 | 2.75 % change on previous year | +40.6% |
| 1998 | 2.73 % change on previous year | -0.7% |
| 1999 | 1.16 % change on previous year | -57.4% |
| 2000 | -1.33 % change on previous year | -214.5% |
| 2001 | -2.04 % change on previous year | +52.7% |
| 2002 | -0.6372 % change on previous year | -68.7% |
| 2003 | 1.1 % change on previous year | -272.4% |
| 2004 | 2.01 % change on previous year | +82.6% |
| 2005 | 2.93 % change on previous year | +45.8% |
| 2006 | 5.16 % change on previous year | +76.5% |
| 2007 | 6.55 % change on previous year | +26.9% |
| 2008 | 6.92 % change on previous year | +5.6% |
| 2009 | 7.48 % change on previous year | +8.1% |
| 2010 | 7.4 % change on previous year | -1.1% |
| 2011 | 7.56 % change on previous year | +2.2% |
| 2012 | 6.59 % change on previous year | -12.8% |
| 2013 | 5.42 % change on previous year | -17.8% |
| 2014 | 4.91 % change on previous year | -9.5% |
| 2015 | 3.67 % change on previous year | -25.3% |
| 2016 | 1.69 % change on previous year | -54.1% |
| 2017 | -1.31 % change on previous year | -177.9% |
| 2018 | -3.75 % change on previous year | +185.9% |
| 2019 | -4.81 % change on previous year | +28.0% |
| 2020 | -5.03 % change on previous year | +4.7% |
| 2021 | -4.58 % change on previous year | -9.0% |
| 2022 | -2.76 % change on previous year | -39.8% |
| 2023 | -1.32 % change on previous year | -52.2% |
| 2024 | -0.8921 % change on previous year | -32.2% |
| 2025 | -0.1371 % change on previous year | -84.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 2.01 % change on previous year | 1.38 % change on previous year | 2.89 % change on previous year | 9 |
| 1970s | -0.0211 % change on previous year | -8.73 % change on previous year | 2.98 % change on previous year | 10 |
| 1980s | 8.24 % change on previous year | 1.75 % change on previous year | 23.3 % change on previous year | 10 |
| 1990s | 0.7232 % change on previous year | -3.55 % change on previous year | 2.75 % change on previous year | 10 |
| 2000s | 2.81 % change on previous year | -2.04 % change on previous year | 7.48 % change on previous year | 10 |
| 2010s | 2.74 % change on previous year | -4.81 % change on previous year | 7.56 % change on previous year | 10 |
| 2020s | -2.45 % change on previous year | -5.03 % change on previous year | -0.1371 % change on previous year | 6 |
Countries ranked near Zimbabwe
- 117 Iceland -0.0571 % change on previous year compare
- 118 Uzbekistan -0.0903 % change on previous year compare
- 119 Kyrgyzstan -0.1369 % change on previous year compare
- 121 United Kingdom of Great Britain and Northern Ireland -0.1504 % change on previous year compare
- 122 Bahrain -0.1788 % change on previous year compare
- 123 Fiji -0.1819 % 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, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 30-34, male, per capita 0.0251 units per person (2025)
- Population ages 35-39, female, annual growth rate -4.75 % change on previous year (2025)
Frequently asked questions
- What is population ages 30-34, male, annual growth rate in Zimbabwe?
- Population ages 30-34, male, annual growth rate in Zimbabwe was -0.1371 % change on previous year in 2025, according to Statizoid (derived).
- What is the highest population ages 30-34, male, annual growth rate recorded in Zimbabwe?
- The highest recorded value was 23.3 % change on previous year in 1981.
- What is the lowest population ages 30-34, male, annual growth rate recorded in Zimbabwe?
- The lowest recorded value was -8.73 % change on previous year in 1978.
- How does Zimbabwe rank for population ages 30-34, male, annual growth rate?
- Zimbabwe ranks 120th out of 218 countries with data for 2025.
- Is population ages 30-34, male, annual growth rate rising or falling in Zimbabwe?
- Over the last ten years it is down 103.7%. 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 30-34, 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 30-34, male. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Population ages 30-34, 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 30-34, male. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.