Population ages 35-39, male, annual growth rate in Belarus
Belarus: Population ages 35-39, male, annual growth rate was -1.13 % change on previous year in 2025. ◆ Volatile
Population ages 35-39, male, annual growth rate in Belarus, 1961–2025
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
Belarus recorded -1.13 % change on previous year for population ages 35-39, male, annual growth rate in 2025.
The figure is down 205.4% on the previous year and down 177.1% over ten years.
Over the whole period, population ages 35-39, male, annual growth rate in Belarus peaked at 12.1 % change on previous year in 1984 and was at its lowest, -10.1 % change on previous year, in 1979.
Belarus ranks 188th 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, male, annual growth rate in Belarus, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1961 | 9.13 % change on previous year | — |
| 1962 | 9.63 % change on previous year | +5.4% |
| 1963 | 9.85 % change on previous year | +2.3% |
| 1964 | 9.23 % change on previous year | -6.3% |
| 1965 | 8.52 % change on previous year | -7.7% |
| 1966 | 6.28 % change on previous year | -26.2% |
| 1967 | 2.82 % change on previous year | -55.1% |
| 1968 | -0.3379 % change on previous year | -112.0% |
| 1969 | -2.95 % change on previous year | +773.9% |
| 1970 | -3.25 % change on previous year | +10.0% |
| 1971 | -1.06 % change on previous year | -67.5% |
| 1972 | 1.24 % change on previous year | -217.7% |
| 1973 | 2.26 % change on previous year | +81.7% |
| 1974 | 3.4 % change on previous year | +50.3% |
| 1975 | 1.22 % change on previous year | -64.2% |
| 1976 | -1.84 % change on previous year | -251.2% |
| 1977 | -5.25 % change on previous year | +185.4% |
| 1978 | -9.28 % change on previous year | +77.0% |
| 1979 | -10.1 % change on previous year | +8.8% |
| 1980 | -9.72 % change on previous year | -3.7% |
| 1981 | -6.74 % change on previous year | -30.7% |
| 1982 | 2.32 % change on previous year | -134.5% |
| 1983 | 9.85 % change on previous year | +323.8% |
| 1984 | 12.1 % change on previous year | +22.8% |
| 1985 | 11.51 % change on previous year | -4.9% |
| 1986 | 8.51 % change on previous year | -26.1% |
| 1987 | 4.5 % change on previous year | -47.1% |
| 1988 | 1.91 % change on previous year | -57.5% |
| 1989 | 0.861 % change on previous year | -55.0% |
| 1990 | 1.22 % change on previous year | +41.3% |
| 1991 | 2.29 % change on previous year | +88.2% |
| 1992 | 3.07 % change on previous year | +34.1% |
| 1993 | 3.82 % change on previous year | +24.3% |
| 1994 | 2.87 % change on previous year | -24.9% |
| 1995 | 1.79 % change on previous year | -37.4% |
| 1996 | 1.45 % change on previous year | -19.3% |
| 1997 | 0.1984 % change on previous year | -86.3% |
| 1998 | -1.42 % change on previous year | -816.0% |
| 1999 | -2.74 % change on previous year | +92.6% |
| 2000 | -3.77 % change on previous year | +37.9% |
| 2001 | -4.37 % change on previous year | +15.8% |
| 2002 | -4.28 % change on previous year | -2.1% |
| 2003 | -4.09 % change on previous year | -4.3% |
| 2004 | -3.38 % change on previous year | -17.6% |
| 2005 | -2.16 % change on previous year | -36.0% |
| 2006 | -1.15 % change on previous year | -46.7% |
| 2007 | -0.4534 % change on previous year | -60.6% |
| 2008 | -0.2638 % change on previous year | -41.8% |
| 2009 | -0.022 % change on previous year | -91.7% |
| 2010 | 0.3343 % change on previous year | -1618.6% |
| 2011 | 0.157 % change on previous year | -53.0% |
| 2012 | 0.075 % change on previous year | -52.2% |
| 2013 | 0.552 % change on previous year | +636.1% |
| 2014 | 1.19 % change on previous year | +115.2% |
| 2015 | 1.47 % change on previous year | +23.3% |
| 2016 | 1.52 % change on previous year | +4.1% |
| 2017 | 1.62 % change on previous year | +6.2% |
| 2018 | 2.6 % change on previous year | +60.4% |
| 2019 | 3.02 % change on previous year | +16.2% |
| 2020 | 2.24 % change on previous year | -25.9% |
| 2021 | 1.95 % change on previous year | -12.7% |
| 2022 | 1.58 % change on previous year | -18.9% |
| 2023 | 0.5446 % change on previous year | -65.6% |
| 2024 | -0.37 % change on previous year | -167.9% |
| 2025 | -1.13 % change on previous year | +205.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 5.8 % change on previous year | -2.95 % change on previous year | 9.85 % change on previous year | 9 |
| 1970s | -2.27 % change on previous year | -10.1 % change on previous year | 3.4 % change on previous year | 10 |
| 1980s | 3.51 % change on previous year | -9.72 % change on previous year | 12.1 % change on previous year | 10 |
| 1990s | 1.25 % change on previous year | -2.74 % change on previous year | 3.82 % change on previous year | 10 |
| 2000s | -2.39 % change on previous year | -4.37 % change on previous year | -0.022 % change on previous year | 10 |
| 2010s | 1.25 % change on previous year | 0.075 % change on previous year | 3.02 % change on previous year | 10 |
| 2020s | 0.8032 % change on previous year | -1.13 % change on previous year | 2.24 % change on previous year | 6 |
Countries ranked near Belarus
- 185 Suriname -1.1 % change on previous year compare
- 186 Spain -1.11 % change on previous year compare
- 187 Czechia -1.12 % change on previous year compare
- 189 Ireland -1.21 % change on previous year compare
- 190 Iran, Islamic Republic of -1.21 % change on previous year compare
- 191 Samoa -1.41 % change on previous year compare
More health data for Belarus
- Un projection of annual infant deaths, annual growth rate 0 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate -0.3867 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 1,674 deaths per 1,000 people (2090)
- Number of infants who die before age 1 18 deaths (2100)
- Population ages 30-34, female, annual growth rate -6.33 % 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 0.0322 units per person (2025)
- Population ages 30-34, male, annual growth rate -6.24 % 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 0.0336 units per person (2025)
Frequently asked questions
- What is population ages 35-39, male, annual growth rate in Belarus?
- Population ages 35-39, male, annual growth rate in Belarus was -1.13 % change on previous year in 2025, according to Statizoid (derived).
- What is the highest population ages 35-39, male, annual growth rate recorded in Belarus?
- The highest recorded value was 12.1 % change on previous year in 1984.
- What is the lowest population ages 35-39, male, annual growth rate recorded in Belarus?
- The lowest recorded value was -10.1 % change on previous year in 1979.
- How does Belarus rank for population ages 35-39, male, annual growth rate?
- Belarus ranks 188th out of 218 countries with data for 2025.
- Is population ages 35-39, male, annual growth rate rising or falling in Belarus?
- Over the last ten years it is down 177.1%. The long-run trend across the full record is volatile.
- Where does this Belarus data come from?
- The figures come from Statizoid (derived), published as part of Population ages 35-39, 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 35-39, male. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Population ages 35-39, 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 35-39, male. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.