Population ages 30-34, male, annual growth rate in South Africa
South Africa: Population ages 30-34, male, annual growth rate was -0.6047 % change on previous year in 2025. ◆ Volatile
Latest (2025)
-0.6047 % change on previous year
Change on year
down 700.1%
World rank
135th
of 218 countries
All-time high
6.79 % change on previous year
in 2015
All-time low
-7.23 % change on previous year
in 1995
Years of data
65
1961–2025
Population ages 30-34, male, annual growth rate in South Africa, 1961–2025
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
In 2025, population ages 30-34, male, annual growth rate in South Africa stood at -0.6047 % change on previous year.
Compared with earlier readings it is down 700.1% on the previous year and down 108.9% over ten years.
Over the whole period, population ages 30-34, male, annual growth rate in South Africa peaked at 6.79 % change on previous year in 2015 and was at its lowest, -7.23 % change on previous year, in 1995.
South Africa ranks 135th of 218 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 30-34, male, annual growth rate in South Africa, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1961 | 1.58 % change on previous year | — |
| 1962 | 1.67 % change on previous year | +6.1% |
| 1963 | 1.86 % change on previous year | +11.4% |
| 1964 | 2.05 % change on previous year | +9.9% |
| 1965 | 2.25 % change on previous year | +9.9% |
| 1966 | 2.39 % change on previous year | +6.4% |
| 1967 | 2.5 % change on previous year | +4.7% |
| 1968 | 2.66 % change on previous year | +6.4% |
| 1969 | 2.83 % change on previous year | +6.3% |
| 1970 | 2.98 % change on previous year | +5.2% |
| 1971 | 3.42 % change on previous year | +14.9% |
| 1972 | 3.97 % change on previous year | +15.9% |
| 1973 | 4.24 % change on previous year | +6.8% |
| 1974 | 4.34 % change on previous year | +2.4% |
| 1975 | 4.35 % change on previous year | +0.2% |
| 1976 | 4.24 % change on previous year | -2.5% |
| 1977 | 4.41 % change on previous year | +3.9% |
| 1978 | 4.78 % change on previous year | +8.4% |
| 1979 | 4.22 % change on previous year | -11.7% |
| 1980 | 3.61 % change on previous year | -14.3% |
| 1981 | 3.75 % change on previous year | +3.9% |
| 1982 | 4.02 % change on previous year | +6.9% |
| 1983 | 4.29 % change on previous year | +6.7% |
| 1984 | 4.56 % change on previous year | +6.5% |
| 1985 | 4.62 % change on previous year | +1.2% |
| 1986 | 4.37 % change on previous year | -5.4% |
| 1987 | 4.17 % change on previous year | -4.6% |
| 1988 | 4.21 % change on previous year | +1.1% |
| 1989 | 4.51 % change on previous year | +7.0% |
| 1990 | 4.98 % change on previous year | +10.5% |
| 1991 | 4.28 % change on previous year | -14.2% |
| 1992 | 1.39 % change on previous year | -67.6% |
| 1993 | 5.23 % change on previous year | +277.7% |
| 1994 | -0.0731 % change on previous year | -101.4% |
| 1995 | -7.23 % change on previous year | +9781.4% |
| 1996 | -6.49 % change on previous year | -10.1% |
| 1997 | -4.62 % change on previous year | -28.8% |
| 1998 | 0.6902 % change on previous year | -114.9% |
| 1999 | 1.39 % change on previous year | +101.9% |
| 2000 | 1.69 % change on previous year | +21.2% |
| 2001 | 2.12 % change on previous year | +25.2% |
| 2002 | 2.64 % change on previous year | +24.6% |
| 2003 | 2.57 % change on previous year | -2.5% |
| 2004 | 2.22 % change on previous year | -13.7% |
| 2005 | 2.03 % change on previous year | -8.7% |
| 2006 | 1.99 % change on previous year | -1.6% |
| 2007 | 2.15 % change on previous year | +8.1% |
| 2008 | 2.89 % change on previous year | +34.0% |
| 2009 | 3.64 % change on previous year | +26.3% |
| 2010 | 4.26 % change on previous year | +16.9% |
| 2011 | 5.12 % change on previous year | +20.3% |
| 2012 | 6.17 % change on previous year | +20.3% |
| 2013 | 6.41 % change on previous year | +3.9% |
| 2014 | 6.29 % change on previous year | -1.8% |
| 2015 | 6.79 % change on previous year | +8.0% |
| 2016 | 3.6 % change on previous year | -47.0% |
| 2017 | 0.8927 % change on previous year | -75.2% |
| 2018 | 0.8975 % change on previous year | +0.5% |
| 2019 | 0.1557 % change on previous year | -82.7% |
| 2020 | -0.0054 % change on previous year | -103.5% |
| 2021 | 0.2616 % change on previous year | -4946.9% |
| 2022 | 0.7147 % change on previous year | +173.2% |
| 2023 | 0.808 % change on previous year | +13.1% |
| 2024 | 0.1008 % change on previous year | -87.5% |
| 2025 | -0.6047 % change on previous year | -700.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 2.2 % change on previous year | 1.58 % change on previous year | 2.83 % change on previous year | 9 |
| 1970s | 4.09 % change on previous year | 2.98 % change on previous year | 4.78 % change on previous year | 10 |
| 1980s | 4.21 % change on previous year | 3.61 % change on previous year | 4.62 % change on previous year | 10 |
| 1990s | -0.0447 % change on previous year | -7.23 % change on previous year | 5.23 % change on previous year | 10 |
| 2000s | 2.39 % change on previous year | 1.69 % change on previous year | 3.64 % change on previous year | 10 |
| 2010s | 4.06 % change on previous year | 0.1557 % change on previous year | 6.79 % change on previous year | 10 |
| 2020s | 0.2125 % change on previous year | -0.6047 % change on previous year | 0.808 % change on previous year | 6 |
Countries ranked near South Africa
- 132 Costa Rica -0.4942 % change on previous year compare
- 133 Comoros -0.5535 % change on previous year compare
- 134 Finland -0.5611 % change on previous year compare
- 136 Cape Verde -0.6124 % change on previous year compare
- 137 Norway -0.6291 % change on previous year compare
- 138 Morocco -0.645 % change on previous year compare
More health data for South Africa
- Un projection of annual infant deaths, annual growth rate -2.2 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate -0.1386 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 1,152 deaths per 1,000 people (2090)
- Number of infants who die before age 1 3,333 deaths (2100)
- Population ages 30-34, female, annual growth rate -0.1331 % 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 0.0446 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 0.0435 units per person (2025)
- Population ages 35-39, female, annual growth rate 1.1 % change on previous year (2025)
Frequently asked questions
- What is population ages 30-34, male, annual growth rate in South Africa?
- Population ages 30-34, male, annual growth rate in South Africa was -0.6047 % change on previous year in 2025, according to Statizoid (derived).
- What is the highest population ages 30-34, male, annual growth rate recorded in South Africa?
- The highest recorded value was 6.79 % change on previous year in 2015.
- What is the lowest population ages 30-34, male, annual growth rate recorded in South Africa?
- The lowest recorded value was -7.23 % change on previous year in 1995.
- How does South Africa rank for population ages 30-34, male, annual growth rate?
- South Africa ranks 135th out of 218 countries with data for 2025.
- Is population ages 30-34, male, annual growth rate rising or falling in South Africa?
- Over the last ten years it is down 108.9%. The long-run trend across the full record is volatile.
- Where does this South Africa 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.