Population ages 75-79, male, annual growth rate in Central Europe and the Baltics
Central Europe and the Baltics: Population ages 75-79, male, annual growth rate was 7.98 % change on previous year in 2025. ◆ Volatile
Latest (2025)
7.98 % change on previous year
Change on year
up 3.7%
Rank
3rd
of 43 groups
All-time high
12.88 % change on previous year
in 1997
All-time low
-11.93 % change on previous year
in 1993
Years of data
65
1961–2025
Population ages 75-79, male, annual growth rate in Central Europe and the Baltics, 1961–2025
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
In 2025, population ages 75-79, male, annual growth rate in Central Europe and the Baltics stood at 7.98 % change on previous year.
That represents a change of up 3.7% on the previous year and up 2,030.1% over ten years.
Over the whole period, population ages 75-79, male, annual growth rate in Central Europe and the Baltics peaked at 12.88 % change on previous year in 1997 and was at its lowest, -11.93 % change on previous year, in 1993.
Central Europe and the Baltics ranks 3rd of 43 groups on this measure, in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Population ages 75-79, male, annual growth rate in Central Europe and the Baltics, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1961 | 1.95 % change on previous year | — |
| 1962 | 1.05 % change on previous year | -46.1% |
| 1963 | 1.34 % change on previous year | +27.4% |
| 1964 | 2.03 % change on previous year | +51.1% |
| 1965 | 1.23 % change on previous year | -39.1% |
| 1966 | 1.88 % change on previous year | +52.1% |
| 1967 | 2.73 % change on previous year | +45.2% |
| 1968 | 2.89 % change on previous year | +6.1% |
| 1969 | 3.19 % change on previous year | +10.2% |
| 1970 | 3.56 % change on previous year | +11.7% |
| 1971 | 3.59 % change on previous year | +0.9% |
| 1972 | 4.27 % change on previous year | +18.8% |
| 1973 | 4.67 % change on previous year | +9.4% |
| 1974 | 4.3 % change on previous year | -7.8% |
| 1975 | 5.67 % change on previous year | +31.7% |
| 1976 | 5.7 % change on previous year | +0.5% |
| 1977 | 4.81 % change on previous year | -15.6% |
| 1978 | 4.65 % change on previous year | -3.4% |
| 1979 | 4.03 % change on previous year | -13.2% |
| 1980 | 2.23 % change on previous year | -44.7% |
| 1981 | 1.87 % change on previous year | -16.3% |
| 1982 | 3.03 % change on previous year | +62.1% |
| 1983 | 2.54 % change on previous year | -16.1% |
| 1984 | 2.16 % change on previous year | -15.0% |
| 1985 | 1.95 % change on previous year | -9.5% |
| 1986 | 1.15 % change on previous year | -41.0% |
| 1987 | 0.7228 % change on previous year | -37.3% |
| 1988 | 0.0295 % change on previous year | -95.9% |
| 1989 | -0.9945 % change on previous year | -3472.3% |
| 1990 | -3.75 % change on previous year | +277.1% |
| 1991 | -8.29 % change on previous year | +120.9% |
| 1992 | -11.44 % change on previous year | +38.1% |
| 1993 | -11.93 % change on previous year | +4.3% |
| 1994 | -5.94 % change on previous year | -50.2% |
| 1995 | 4.05 % change on previous year | -168.2% |
| 1996 | 10.41 % change on previous year | +157.3% |
| 1997 | 12.88 % change on previous year | +23.6% |
| 1998 | 12.26 % change on previous year | -4.8% |
| 1999 | 8.03 % change on previous year | -34.5% |
| 2000 | 4.08 % change on previous year | -49.2% |
| 2001 | 2.71 % change on previous year | -33.5% |
| 2002 | 1.99 % change on previous year | -26.6% |
| 2003 | 2.29 % change on previous year | +15.3% |
| 2004 | 2.72 % change on previous year | +18.7% |
| 2005 | 3.02 % change on previous year | +10.7% |
| 2006 | 2.7 % change on previous year | -10.3% |
| 2007 | 1.97 % change on previous year | -27.2% |
| 2008 | 1.02 % change on previous year | -48.3% |
| 2009 | 0.3739 % change on previous year | -63.3% |
| 2010 | -0.3181 % change on previous year | -185.1% |
| 2011 | -0.3004 % change on previous year | -5.6% |
| 2012 | -0.0446 % change on previous year | -85.2% |
| 2013 | -0.0532 % change on previous year | +19.4% |
| 2014 | 0.3658 % change on previous year | -787.1% |
| 2015 | 0.3746 % change on previous year | +2.4% |
| 2016 | -0.1104 % change on previous year | -129.5% |
| 2017 | -0.6679 % change on previous year | +504.9% |
| 2018 | -0.7938 % change on previous year | +18.9% |
| 2019 | -0.2836 % change on previous year | -64.3% |
| 2020 | -0.469 % change on previous year | +65.4% |
| 2021 | 0.5476 % change on previous year | -216.8% |
| 2022 | 4.59 % change on previous year | +737.9% |
| 2023 | 6.85 % change on previous year | +49.3% |
| 2024 | 7.7 % change on previous year | +12.4% |
| 2025 | 7.98 % change on previous year | +3.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 2.03 % change on previous year | 1.05 % change on previous year | 3.19 % change on previous year | 9 |
| 1970s | 4.52 % change on previous year | 3.56 % change on previous year | 5.7 % change on previous year | 10 |
| 1980s | 1.47 % change on previous year | -0.9945 % change on previous year | 3.03 % change on previous year | 10 |
| 1990s | 0.6276 % change on previous year | -11.93 % change on previous year | 12.88 % change on previous year | 10 |
| 2000s | 2.29 % change on previous year | 0.3739 % change on previous year | 4.08 % change on previous year | 10 |
| 2010s | -0.1832 % change on previous year | -0.7938 % change on previous year | 0.3746 % change on previous year | 10 |
| 2020s | 4.53 % change on previous year | -0.469 % change on previous year | 7.98 % change on previous year | 6 |
Countries ranked near Central Europe and the Baltics
- 1 Naoero 25 % change on previous year compare
- 2 Turkmenistan 22.68 % change on previous year compare
- 3 Republic of Moldova 20.62 % change on previous year compare
- 4 United Arab Emirates 20.54 % change on previous year compare
- 5 Azerbaijan 19.23 % change on previous year compare
- 6 Kyrgyzstan 19.07 % change on previous year compare
More health data for Central Europe and the Baltics
- Population ages 45-49, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 50-54, female, annual growth rate 2.52 % change on previous year (2025)
- Population ages 45-49, male, per capita 0.0403 units per person (2025)
- Population ages 45-49, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 15-19, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 45-49, male, annual growth rate 0.0866 % change on previous year (2025)
- Population ages 45-49, female, per capita 0.039 units per person (2025)
- Population ages 20-24, female, annual growth rate -0.8382 % change on previous year (2025)
- Population ages 40-44, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 40-44, male, per capita 0.0385 units per person (2025)
Frequently asked questions
- What is population ages 75-79, male, annual growth rate in Central Europe and the Baltics?
- Population ages 75-79, male, annual growth rate in Central Europe and the Baltics was 7.98 % change on previous year in 2025, according to Statizoid (derived).
- What is the highest population ages 75-79, male, annual growth rate recorded in Central Europe and the Baltics?
- The highest recorded value was 12.88 % change on previous year in 1997.
- What is the lowest population ages 75-79, male, annual growth rate recorded in Central Europe and the Baltics?
- The lowest recorded value was -11.93 % change on previous year in 1993.
- How does Central Europe and the Baltics rank for population ages 75-79, male, annual growth rate?
- Central Europe and the Baltics ranks 3rd out of 43 groups with data for 2025.
- Is population ages 75-79, male, annual growth rate rising or falling in Central Europe and the Baltics?
- Over the last ten years it is up 2,030.1%. The long-run trend across the full record is volatile.
- Where does this Central Europe and the Baltics data come from?
- The figures come from Statizoid (derived), published as part of Population ages 75-79, 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 75-79, male. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Population ages 75-79, 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 75-79, male. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.