Population ages 15-19, female, annual growth rate in Central Europe and the Baltics
Central Europe and the Baltics: Population ages 15-19, female, annual growth rate was 1.86 % change on previous year in 2025. ◆ Volatile
Population ages 15-19, female, annual growth rate in Central Europe and the Baltics, 1961–2025
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
Central Europe and the Baltics recorded 1.86 % change on previous year for population ages 15-19, female, annual growth rate in 2025.
That represents a change of down 30.3% on the previous year and up 165.1% over ten years.
Over the whole period, population ages 15-19, female, annual growth rate in Central Europe and the Baltics peaked at 5.74 % change on previous year in 1965 and was at its lowest, -4.48 % change on previous year, in 2010.
Central Europe and the Baltics ranks 17th of 43 groups 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 15-19, female, annual growth rate in Central Europe and the Baltics, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1961 | 0.6974 % change on previous year | — |
| 1962 | 3.42 % change on previous year | +390.7% |
| 1963 | 4.95 % change on previous year | +44.7% |
| 1964 | 5.54 % change on previous year | +12.0% |
| 1965 | 5.74 % change on previous year | +3.6% |
| 1966 | 4.81 % change on previous year | -16.3% |
| 1967 | 3.19 % change on previous year | -33.7% |
| 1968 | 2.17 % change on previous year | -31.9% |
| 1969 | 1.56 % change on previous year | -28.2% |
| 1970 | 0.9837 % change on previous year | -36.8% |
| 1971 | 0.3313 % change on previous year | -66.3% |
| 1972 | -0.2554 % change on previous year | -177.1% |
| 1973 | -1.08 % change on previous year | +321.5% |
| 1974 | -2.16 % change on previous year | +101.0% |
| 1975 | -3.28 % change on previous year | +51.7% |
| 1976 | -3.83 % change on previous year | +16.7% |
| 1977 | -3.44 % change on previous year | -10.1% |
| 1978 | -2.69 % change on previous year | -21.7% |
| 1979 | -2.05 % change on previous year | -24.1% |
| 1980 | -1.7 % change on previous year | -17.0% |
| 1981 | -1.54 % change on previous year | -9.1% |
| 1982 | 0.2973 % change on previous year | -119.3% |
| 1983 | 2.16 % change on previous year | +626.6% |
| 1984 | 2.18 % change on previous year | +0.8% |
| 1985 | 2.03 % change on previous year | -6.9% |
| 1986 | 2.32 % change on previous year | +14.7% |
| 1987 | 1.39 % change on previous year | -40.1% |
| 1988 | 0.3893 % change on previous year | -72.0% |
| 1989 | 1.24 % change on previous year | +219.4% |
| 1990 | 2.11 % change on previous year | +70.0% |
| 1991 | 1.98 % change on previous year | -6.5% |
| 1992 | 1.53 % change on previous year | -22.8% |
| 1993 | 1.15 % change on previous year | -24.8% |
| 1994 | 0.261 % change on previous year | -77.2% |
| 1995 | -0.7203 % change on previous year | -376.0% |
| 1996 | -1.25 % change on previous year | +73.3% |
| 1997 | -1.41 % change on previous year | +13.3% |
| 1998 | -1.37 % change on previous year | -2.9% |
| 1999 | -1.24 % change on previous year | -9.9% |
| 2000 | -1.34 % change on previous year | +8.6% |
| 2001 | -1.08 % change on previous year | -19.9% |
| 2002 | -1.16 % change on previous year | +8.3% |
| 2003 | -1.29 % change on previous year | +11.2% |
| 2004 | -1.83 % change on previous year | +41.0% |
| 2005 | -2.52 % change on previous year | +38.3% |
| 2006 | -2.93 % change on previous year | +16.1% |
| 2007 | -3.4 % change on previous year | +16.2% |
| 2008 | -3.86 % change on previous year | +13.4% |
| 2009 | -4.31 % change on previous year | +11.6% |
| 2010 | -4.48 % change on previous year | +3.8% |
| 2011 | -3.84 % change on previous year | -14.1% |
| 2012 | -3.89 % change on previous year | +1.2% |
| 2013 | -4.03 % change on previous year | +3.6% |
| 2014 | -3.53 % change on previous year | -12.3% |
| 2015 | -2.85 % change on previous year | -19.2% |
| 2016 | -2.46 % change on previous year | -13.7% |
| 2017 | -2.3 % change on previous year | -6.5% |
| 2018 | -1.86 % change on previous year | -19.2% |
| 2019 | -1.2 % change on previous year | -35.3% |
| 2020 | -0.6032 % change on previous year | -49.9% |
| 2021 | 0.463 % change on previous year | -176.7% |
| 2022 | 2.73 % change on previous year | +490.4% |
| 2023 | 3.3 % change on previous year | +20.8% |
| 2024 | 2.66 % change on previous year | -19.4% |
| 2025 | 1.86 % change on previous year | -30.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 3.56 % change on previous year | 0.6974 % change on previous year | 5.74 % change on previous year | 9 |
| 1970s | -1.75 % change on previous year | -3.83 % change on previous year | 0.9837 % change on previous year | 10 |
| 1980s | 0.8768 % change on previous year | -1.7 % change on previous year | 2.32 % change on previous year | 10 |
| 1990s | 0.1033 % change on previous year | -1.41 % change on previous year | 2.11 % change on previous year | 10 |
| 2000s | -2.37 % change on previous year | -4.31 % change on previous year | -1.08 % change on previous year | 10 |
| 2010s | -3.05 % change on previous year | -4.48 % change on previous year | -1.2 % change on previous year | 10 |
| 2020s | 1.74 % change on previous year | -0.6032 % change on previous year | 3.3 % change on previous year | 6 |
Countries ranked near Central Europe and the Baltics
- 14 Tajikistan 5.03 % change on previous year compare
- 15 Congo 4.72 % change on previous year compare
- 16 Côte d'Ivoire 4.55 % change on previous year compare
- 17 Samoa 4.48 % change on previous year compare
- 18 Saudi Arabia 4.47 % change on previous year compare
- 19 Vanuatu 4.29 % change on previous year compare
- 20 Equatorial Guinea 4.27 % change on previous year compare
More health data for Central Europe and the Baltics
- Population ages 30-34, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 35-39, male, per capita 0.037 units per person (2025)
- Population ages 35-39, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 35-39, male, annual growth rate -1.57 % change on previous year (2025)
- Population ages 35-39, female, per capita 0.0352 units per person (2025)
- Population ages 35-39, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 35-39, female, annual growth rate -1.55 % change on previous year (2025)
- Population ages 30-34, male, per capita 0.0319 units per person (2025)
- Population ages 25-29, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 25-29, male, per capita 0.0269 units per person (2025)
Frequently asked questions
- What is population ages 15-19, female, annual growth rate in Central Europe and the Baltics?
- Population ages 15-19, female, annual growth rate in Central Europe and the Baltics was 1.86 % change on previous year in 2025, according to Statizoid (derived).
- What is the highest population ages 15-19, female, annual growth rate recorded in Central Europe and the Baltics?
- The highest recorded value was 5.74 % change on previous year in 1965.
- What is the lowest population ages 15-19, female, annual growth rate recorded in Central Europe and the Baltics?
- The lowest recorded value was -4.48 % change on previous year in 2010.
- How does Central Europe and the Baltics rank for population ages 15-19, female, annual growth rate?
- Central Europe and the Baltics ranks 17th out of 43 groups with data for 2025.
- Is population ages 15-19, female, annual growth rate rising or falling in Central Europe and the Baltics?
- Over the last ten years it is up 165.1%. 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 15-19, 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 15-19, female. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Population ages 15-19, 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 15-19, female. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.