Population ages 40-44, male, annual growth rate in Zimbabwe
Zimbabwe: Population ages 40-44, male, annual growth rate was 4.38 % change on previous year in 2025. ◆ Volatile
Population ages 40-44, male, annual growth rate in Zimbabwe, 1961–2025
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
Zimbabwe recorded 4.38 % change on previous year for population ages 40-44, male, annual growth rate in 2025.
That represents a change of down 21.2% on the previous year and down 40.8% over ten years.
Over the whole period, population ages 40-44, male, annual growth rate in Zimbabwe peaked at 11.52 % change on previous year in 1992 and was at its lowest, -4.07 % change on previous year, in 1980.
That places Zimbabwe 20th out of 218 countries with data for 2025, putting it in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Population ages 40-44, male, annual growth rate in Zimbabwe, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1961 | 0.8076 % change on previous year | — |
| 1962 | -0.6333 % change on previous year | -178.4% |
| 1963 | -1.3 % change on previous year | +105.0% |
| 1964 | -0.6607 % change on previous year | -49.1% |
| 1965 | 0.5029 % change on previous year | -176.1% |
| 1966 | 1.62 % change on previous year | +222.4% |
| 1967 | 2.84 % change on previous year | +75.2% |
| 1968 | 3.48 % change on previous year | +22.7% |
| 1969 | 3.15 % change on previous year | -9.6% |
| 1970 | 3.12 % change on previous year | -0.9% |
| 1971 | 3.09 % change on previous year | -1.0% |
| 1972 | 2.33 % change on previous year | -24.6% |
| 1973 | 1.8 % change on previous year | -22.9% |
| 1974 | 1.69 % change on previous year | -5.8% |
| 1975 | 2.01 % change on previous year | +18.6% |
| 1976 | 2.17 % change on previous year | +8.3% |
| 1977 | 2.61 % change on previous year | +19.8% |
| 1978 | 3.5 % change on previous year | +34.2% |
| 1979 | 2.18 % change on previous year | -37.6% |
| 1980 | -4.07 % change on previous year | -286.4% |
| 1981 | -3.1 % change on previous year | -23.7% |
| 1982 | 3.17 % change on previous year | -202.3% |
| 1983 | 4.53 % change on previous year | +42.7% |
| 1984 | 5.61 % change on previous year | +23.8% |
| 1985 | 5.4 % change on previous year | -3.7% |
| 1986 | 5.17 % change on previous year | -4.2% |
| 1987 | 5.88 % change on previous year | +13.8% |
| 1988 | 5 % change on previous year | -15.0% |
| 1989 | 6.05 % change on previous year | +21.1% |
| 1990 | 8.49 % change on previous year | +40.2% |
| 1991 | 8.03 % change on previous year | -5.4% |
| 1992 | 11.52 % change on previous year | +43.5% |
| 1993 | 8.71 % change on previous year | -24.4% |
| 1994 | 0.9463 % change on previous year | -89.1% |
| 1995 | -1.18 % change on previous year | -224.4% |
| 1996 | -1.39 % change on previous year | +17.9% |
| 1997 | -1.64 % change on previous year | +18.3% |
| 1998 | -1.72 % change on previous year | +4.8% |
| 1999 | -2.24 % change on previous year | +30.4% |
| 2000 | -3.03 % change on previous year | +34.9% |
| 2001 | -3.31 % change on previous year | +9.4% |
| 2002 | -2.82 % change on previous year | -14.9% |
| 2003 | -2.48 % change on previous year | -12.2% |
| 2004 | -2.52 % change on previous year | +1.6% |
| 2005 | -2.04 % change on previous year | -19.1% |
| 2006 | -0.5422 % change on previous year | -73.4% |
| 2007 | 0.2888 % change on previous year | -153.3% |
| 2008 | 0.066 % change on previous year | -77.1% |
| 2009 | 0.0643 % change on previous year | -2.7% |
| 2010 | 0.0949 % change on previous year | +47.7% |
| 2011 | 0.5463 % change on previous year | +475.5% |
| 2012 | 0.9512 % change on previous year | +74.1% |
| 2013 | 3.25 % change on previous year | +241.8% |
| 2014 | 6.04 % change on previous year | +85.7% |
| 2015 | 7.4 % change on previous year | +22.7% |
| 2016 | 8.78 % change on previous year | +18.5% |
| 2017 | 9.72 % change on previous year | +10.7% |
| 2018 | 10.3 % change on previous year | +6.0% |
| 2019 | 10.33 % change on previous year | +0.2% |
| 2020 | 9.71 % change on previous year | -6.0% |
| 2021 | 9.37 % change on previous year | -3.5% |
| 2022 | 8.11 % change on previous year | -13.4% |
| 2023 | 6.4 % change on previous year | -21.0% |
| 2024 | 5.57 % change on previous year | -13.1% |
| 2025 | 4.38 % change on previous year | -21.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 1.09 % change on previous year | -1.3 % change on previous year | 3.48 % change on previous year | 9 |
| 1970s | 2.45 % change on previous year | 1.69 % change on previous year | 3.5 % change on previous year | 10 |
| 1980s | 3.36 % change on previous year | -4.07 % change on previous year | 6.05 % change on previous year | 10 |
| 1990s | 2.95 % change on previous year | -2.24 % change on previous year | 11.52 % change on previous year | 10 |
| 2000s | -1.63 % change on previous year | -3.31 % change on previous year | 0.2888 % change on previous year | 10 |
| 2010s | 5.74 % change on previous year | 0.0949 % change on previous year | 10.33 % change on previous year | 10 |
| 2020s | 7.26 % change on previous year | 4.38 % change on previous year | 9.71 % change on previous year | 6 |
Countries ranked near Zimbabwe
- 17 Uzbekistan 4.71 % change on previous year compare
- 18 Turkmenistan 4.7 % change on previous year compare
- 19 Botswana 4.42 % change on previous year compare
- 21 Armenia 4.37 % change on previous year compare
- 22 Congo, Democratic Republic of the 4.36 % change on previous year compare
- 23 Somalia 4.3 % 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 40-44, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 40-44, male, per capita 0.0274 units per person (2025)
- Population ages 45-49, female, annual growth rate 6.18 % change on previous year (2025)
- Population ages 45-49, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 45-49, female, per capita 0.0255 units per person (2025)
- Population ages 45-49, male, annual growth rate 9.44 % change on previous year (2025)
Frequently asked questions
- What is population ages 40-44, male, annual growth rate in Zimbabwe?
- Population ages 40-44, male, annual growth rate in Zimbabwe was 4.38 % change on previous year in 2025, according to Statizoid (derived).
- What is the highest population ages 40-44, male, annual growth rate recorded in Zimbabwe?
- The highest recorded value was 11.52 % change on previous year in 1992.
- What is the lowest population ages 40-44, male, annual growth rate recorded in Zimbabwe?
- The lowest recorded value was -4.07 % change on previous year in 1980.
- How does Zimbabwe rank for population ages 40-44, male, annual growth rate?
- Zimbabwe ranks 20th out of 218 countries with data for 2025.
- Is population ages 40-44, male, annual growth rate rising or falling in Zimbabwe?
- Over the last ten years it is down 40.8%. 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 40-44, 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 40-44, male. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Population ages 40-44, 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 40-44, male. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.