Population ages 0-14, male, annual growth rate in Zimbabwe
Zimbabwe: Population ages 0-14, male, annual growth rate was 0.4476 % change on previous year in 2025. ◆ Volatile
Population ages 0-14, male, annual growth rate in Zimbabwe, 1961–2025
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
Zimbabwe recorded 0.4476 % change on previous year for population ages 0-14, male, annual growth rate in 2025.
That represents a change of down 37.4% on the previous year and down 60.6% over ten years.
Over the whole period, population ages 0-14, male, annual growth rate in Zimbabwe peaked at 7.79 % change on previous year in 1980 and was at its lowest, -0.5342 % change on previous year, in 1994.
Zimbabwe ranks 74th of 217 countries on this measure, 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, male, annual growth rate in Zimbabwe, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1961 | 3.89 % change on previous year | — |
| 1962 | 3.99 % change on previous year | +2.5% |
| 1963 | 4.13 % change on previous year | +3.7% |
| 1964 | 3.65 % change on previous year | -11.8% |
| 1965 | 3.08 % change on previous year | -15.7% |
| 1966 | 3.05 % change on previous year | -0.9% |
| 1967 | 3.05 % change on previous year | +0.1% |
| 1968 | 3.07 % change on previous year | +0.6% |
| 1969 | 3.09 % change on previous year | +0.8% |
| 1970 | 2.81 % change on previous year | -9.0% |
| 1971 | 2.63 % change on previous year | -6.5% |
| 1972 | 2.85 % change on previous year | +8.2% |
| 1973 | 3.08 % change on previous year | +8.2% |
| 1974 | 3.26 % change on previous year | +5.8% |
| 1975 | 3.21 % change on previous year | -1.6% |
| 1976 | 3.08 % change on previous year | -4.0% |
| 1977 | 2.45 % change on previous year | -20.3% |
| 1978 | 1.1 % change on previous year | -55.1% |
| 1979 | 1.65 % change on previous year | +49.5% |
| 1980 | 7.79 % change on previous year | +372.9% |
| 1981 | 7.78 % change on previous year | -0.1% |
| 1982 | 3.7 % change on previous year | -52.5% |
| 1983 | 3.51 % change on previous year | -5.2% |
| 1984 | 3.15 % change on previous year | -10.2% |
| 1985 | 2.99 % change on previous year | -5.1% |
| 1986 | 2.81 % change on previous year | -6.0% |
| 1987 | 2.86 % change on previous year | +2.0% |
| 1988 | 2.69 % change on previous year | -5.9% |
| 1989 | 2.16 % change on previous year | -19.7% |
| 1990 | 1.8 % change on previous year | -17.0% |
| 1991 | 1.53 % change on previous year | -14.9% |
| 1992 | 2.34 % change on previous year | +53.4% |
| 1993 | 1.29 % change on previous year | -44.9% |
| 1994 | -0.5342 % change on previous year | -141.3% |
| 1995 | -0.1853 % change on previous year | -65.3% |
| 1996 | 0.035 % change on previous year | -118.9% |
| 1997 | 0.0696 % change on previous year | +98.8% |
| 1998 | 0.1943 % change on previous year | +179.0% |
| 1999 | 0.0976 % change on previous year | -49.8% |
| 2000 | -0.1601 % change on previous year | -264.0% |
| 2001 | -0.0197 % change on previous year | -87.7% |
| 2002 | 0.7655 % change on previous year | -3988.5% |
| 2003 | 1.47 % change on previous year | +92.4% |
| 2004 | 1.58 % change on previous year | +7.1% |
| 2005 | 1.47 % change on previous year | -6.7% |
| 2006 | 1.56 % change on previous year | +5.9% |
| 2007 | 1.61 % change on previous year | +3.2% |
| 2008 | 1.75 % change on previous year | +8.8% |
| 2009 | 2.18 % change on previous year | +24.5% |
| 2010 | 2.49 % change on previous year | +14.3% |
| 2011 | 2.58 % change on previous year | +3.8% |
| 2012 | 2.33 % change on previous year | -9.9% |
| 2013 | 1.92 % change on previous year | -17.4% |
| 2014 | 1.52 % change on previous year | -21.0% |
| 2015 | 1.14 % change on previous year | -25.1% |
| 2016 | 0.9068 % change on previous year | -20.2% |
| 2017 | 0.7547 % change on previous year | -16.8% |
| 2018 | 0.6751 % change on previous year | -10.5% |
| 2019 | 0.711 % change on previous year | +5.3% |
| 2020 | 0.8484 % change on previous year | +19.3% |
| 2021 | 1.02 % change on previous year | +20.4% |
| 2022 | 1.13 % change on previous year | +10.2% |
| 2023 | 1.02 % change on previous year | -9.0% |
| 2024 | 0.7145 % change on previous year | -30.3% |
| 2025 | 0.4476 % change on previous year | -37.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 3.44 % change on previous year | 3.05 % change on previous year | 4.13 % change on previous year | 9 |
| 1970s | 2.61 % change on previous year | 1.1 % change on previous year | 3.26 % change on previous year | 10 |
| 1980s | 3.94 % change on previous year | 2.16 % change on previous year | 7.79 % change on previous year | 10 |
| 1990s | 0.6637 % change on previous year | -0.5342 % change on previous year | 2.34 % change on previous year | 10 |
| 2000s | 1.22 % change on previous year | -0.1601 % change on previous year | 2.18 % change on previous year | 10 |
| 2010s | 1.5 % change on previous year | 0.6751 % change on previous year | 2.58 % change on previous year | 10 |
| 2020s | 0.8637 % change on previous year | 0.4476 % change on previous year | 1.13 % change on previous year | 6 |
Countries ranked near Zimbabwe
- 71 Honduras 0.4692 % change on previous year compare
- 72 Paraguay 0.4512 % change on previous year compare
- 73 Kazakhstan 0.4505 % change on previous year compare
- 75 Armenia 0.4276 % change on previous year compare
- 76 Portugal 0.3766 % change on previous year compare
- 77 Kenya 0.3574 % 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)
- Total tetanus - number of reported cases, gaps filled 2 (2025)
- Total tetanus - number of reported cases, per capita 0 units per person (2025)
- Diphtheria - number of reported cases, gaps filled 0 (2025)
- Diphtheria - number of reported cases, per capita 0 units per person (2025)
- Measles - number of reported cases, gaps filled 1,671 (2025)
- Measles - number of reported cases, per unit of GDP 0 units per US$ of GDP (2025)
Frequently asked questions
- What is population ages 0-14, male, annual growth rate in Zimbabwe?
- Population ages 0-14, male, annual growth rate in Zimbabwe was 0.4476 % change on previous year in 2025, according to Statizoid (derived).
- What is the highest population ages 0-14, male, annual growth rate recorded in Zimbabwe?
- The highest recorded value was 7.79 % change on previous year in 1980.
- What is the lowest population ages 0-14, male, annual growth rate recorded in Zimbabwe?
- The lowest recorded value was -0.5342 % change on previous year in 1994.
- How does Zimbabwe rank for population ages 0-14, male, annual growth rate?
- Zimbabwe ranks 74th out of 217 countries with data for 2025.
- Is population ages 0-14, male, annual growth rate rising or falling in Zimbabwe?
- Over the last ten years it is down 60.6%. 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 0-14, 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 0-14, male. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Population ages 0-14, male 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, male. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.