Population ages 00-04, female, annual growth rate in Central Europe and the Baltics
Central Europe and the Baltics: Population ages 00-04, female, annual growth rate was -3.74 % change on previous year in 2025. ◆ Volatile
Population ages 00-04, female, 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 00-04, female, annual growth rate in Central Europe and the Baltics stood at -3.74 % change on previous year.
Compared with earlier readings it is down 10.8% on the previous year and down 143.0% over ten years.
Over the whole period, population ages 00-04, female, annual growth rate in Central Europe and the Baltics peaked at 2.44 % change on previous year in 1968 and was at its lowest, -4.58 % change on previous year, in 1996.
That places Central Europe and the Baltics 39th out of 43 groups with data for 2025, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Population ages 00-04, female, annual growth rate in Central Europe and the Baltics, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1961 | -3.41 % change on previous year | — |
| 1962 | -3.66 % change on previous year | +7.4% |
| 1963 | -3.4 % change on previous year | -7.0% |
| 1964 | -2.78 % change on previous year | -18.3% |
| 1965 | -2.56 % change on previous year | -7.8% |
| 1966 | -2.17 % change on previous year | -15.3% |
| 1967 | 0.3634 % change on previous year | -116.8% |
| 1968 | 2.44 % change on previous year | +571.4% |
| 1969 | 2.44 % change on previous year | -0.1% |
| 1970 | 2.16 % change on previous year | -11.4% |
| 1971 | 2.42 % change on previous year | +11.9% |
| 1972 | 1.59 % change on previous year | -34.4% |
| 1973 | 0.2496 % change on previous year | -84.3% |
| 1974 | 1.07 % change on previous year | +329.4% |
| 1975 | 2.1 % change on previous year | +96.0% |
| 1976 | 2.4 % change on previous year | +14.4% |
| 1977 | 2.07 % change on previous year | -13.9% |
| 1978 | 1.25 % change on previous year | -39.6% |
| 1979 | 0.3213 % change on previous year | -74.3% |
| 1980 | -0.5867 % change on previous year | -282.6% |
| 1981 | -1.27 % change on previous year | +117.3% |
| 1982 | -1.44 % change on previous year | +12.6% |
| 1983 | -1.38 % change on previous year | -3.9% |
| 1984 | -1.42 % change on previous year | +2.8% |
| 1985 | -1.26 % change on previous year | -11.5% |
| 1986 | -1.02 % change on previous year | -18.8% |
| 1987 | -0.9503 % change on previous year | -6.8% |
| 1988 | -1.24 % change on previous year | +30.6% |
| 1989 | -1.73 % change on previous year | +39.7% |
| 1990 | -2.34 % change on previous year | +35.2% |
| 1991 | -3.11 % change on previous year | +33.0% |
| 1992 | -3.56 % change on previous year | +14.3% |
| 1993 | -3.6 % change on previous year | +1.2% |
| 1994 | -3.93 % change on previous year | +9.0% |
| 1995 | -4.47 % change on previous year | +13.9% |
| 1996 | -4.58 % change on previous year | +2.4% |
| 1997 | -4.27 % change on previous year | -6.7% |
| 1998 | -3.85 % change on previous year | -9.8% |
| 1999 | -3.22 % change on previous year | -16.5% |
| 2000 | -2.79 % change on previous year | -13.2% |
| 2001 | -2.63 % change on previous year | -6.0% |
| 2002 | -2.35 % change on previous year | -10.5% |
| 2003 | -1.59 % change on previous year | -32.2% |
| 2004 | -1.17 % change on previous year | -26.6% |
| 2005 | -0.5941 % change on previous year | -49.2% |
| 2006 | 0.2828 % change on previous year | -147.6% |
| 2007 | 1.11 % change on previous year | +293.2% |
| 2008 | 2 % change on previous year | +79.7% |
| 2009 | 1.92 % change on previous year | -3.9% |
| 2010 | 2.02 % change on previous year | +5.0% |
| 2011 | 1.64 % change on previous year | -18.8% |
| 2012 | -0.3973 % change on previous year | -124.3% |
| 2013 | -1.52 % change on previous year | +282.2% |
| 2014 | -1.86 % change on previous year | +22.2% |
| 2015 | -1.54 % change on previous year | -17.2% |
| 2016 | -0.7853 % change on previous year | -48.9% |
| 2017 | -0.2771 % change on previous year | -64.7% |
| 2018 | -0.0372 % change on previous year | -86.6% |
| 2019 | 0.0196 % change on previous year | -152.7% |
| 2020 | -0.9064 % change on previous year | -4717.5% |
| 2021 | -2.03 % change on previous year | +123.9% |
| 2022 | -2.07 % change on previous year | +1.9% |
| 2023 | -2.58 % change on previous year | +24.7% |
| 2024 | -3.37 % change on previous year | +30.8% |
| 2025 | -3.74 % change on previous year | +10.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | -1.41 % change on previous year | -3.66 % change on previous year | 2.44 % change on previous year | 9 |
| 1970s | 1.56 % change on previous year | 0.2496 % change on previous year | 2.42 % change on previous year | 10 |
| 1980s | -1.23 % change on previous year | -1.73 % change on previous year | -0.5867 % change on previous year | 10 |
| 1990s | -3.69 % change on previous year | -4.58 % change on previous year | -2.34 % change on previous year | 10 |
| 2000s | -0.5814 % change on previous year | -2.79 % change on previous year | 2 % change on previous year | 10 |
| 2010s | -0.2734 % change on previous year | -1.86 % change on previous year | 2.02 % change on previous year | 10 |
| 2020s | -2.45 % change on previous year | -3.74 % change on previous year | -0.9064 % change on previous year | 6 |
Countries ranked near Central Europe and the Baltics
- 36 Portugal 1.39 % change on previous year compare
- 37 Ethiopia 1.34 % change on previous year compare
- 38 Solomon Islands 1.33 % change on previous year compare
- 39 Madagascar 1.32 % change on previous year compare
- 40 Uganda 1.28 % change on previous year compare
- 41 Kenya 1.28 % change on previous year compare
- 42 Sudan 1.27 % change on previous year compare
More health data for Central Europe and the Baltics
- Population ages 40-44, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 10-14, 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 45-49, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 10-14, male, per capita 0.0269 units per person (2025)
- Population ages 45-49, female, annual growth rate -0.1092 % change on previous year (2025)
- Population ages 40-44, male, per capita 0.0385 units per person (2025)
- Population ages 40-44, female, annual growth rate -0.9182 % change on previous year (2025)
- Population ages 40-44, female, per unit of GDP 0 units per US$ of GDP (2025)
Frequently asked questions
- What is population ages 00-04, female, annual growth rate in Central Europe and the Baltics?
- Population ages 00-04, female, annual growth rate in Central Europe and the Baltics was -3.74 % change on previous year in 2025, according to Statizoid (derived).
- What is the highest population ages 00-04, female, annual growth rate recorded in Central Europe and the Baltics?
- The highest recorded value was 2.44 % change on previous year in 1968.
- What is the lowest population ages 00-04, female, annual growth rate recorded in Central Europe and the Baltics?
- The lowest recorded value was -4.58 % change on previous year in 1996.
- How does Central Europe and the Baltics rank for population ages 00-04, female, annual growth rate?
- Central Europe and the Baltics ranks 39th out of 43 groups with data for 2025.
- Is population ages 00-04, female, annual growth rate rising or falling in Central Europe and the Baltics?
- Over the last ten years it is down 143.0%. 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 00-04, female, 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 00-04, female. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Population ages 00-04, female 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 00-04, female. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.