Population ages 10-14, female, annual growth rate in South Sudan
South Sudan: Population ages 10-14, female, annual growth rate was -1.74 % change on previous year in 2025. ◆ Volatile
Latest (2025)
-1.74 % change on previous year
Change on year
down 197.9%
World rank
184th
of 218 countries
All-time high
8.22 % change on previous year
in 2003
All-time low
-2.7 % change on previous year
in 1998
Years of data
65
1961–2025
Population ages 10-14, female, annual growth rate in South Sudan, 1961–2025
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
The most recent figure for population ages 10-14, female, annual growth rate in South Sudan is -1.74 % change on previous year, measured in 2025.
The figure is down 197.9% on the previous year and down 170.6% over ten years.
Over the whole period, population ages 10-14, female, annual growth rate in South Sudan peaked at 8.22 % change on previous year in 2003 and was at its lowest, -2.7 % change on previous year, in 1998.
South Sudan ranks 184th 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 10-14, female, annual growth rate in South Sudan, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1961 | -0.016 % change on previous year | — |
| 1962 | 0.4109 % change on previous year | -2674.5% |
| 1963 | 1.48 % change on previous year | +259.1% |
| 1964 | 2.76 % change on previous year | +86.8% |
| 1965 | 2.96 % change on previous year | +7.4% |
| 1966 | 2.58 % change on previous year | -13.0% |
| 1967 | 2.42 % change on previous year | -6.2% |
| 1968 | 2.3 % change on previous year | -4.9% |
| 1969 | 2.16 % change on previous year | -6.1% |
| 1970 | 2.04 % change on previous year | -5.3% |
| 1971 | 2.02 % change on previous year | -1.4% |
| 1972 | 1.97 % change on previous year | -2.2% |
| 1973 | 1.92 % change on previous year | -2.5% |
| 1974 | 1.95 % change on previous year | +1.7% |
| 1975 | 1.91 % change on previous year | -2.4% |
| 1976 | 1.92 % change on previous year | +0.8% |
| 1977 | 2.14 % change on previous year | +11.2% |
| 1978 | 2.43 % change on previous year | +13.4% |
| 1979 | 2.73 % change on previous year | +12.7% |
| 1980 | 3.17 % change on previous year | +16.0% |
| 1981 | 3.61 % change on previous year | +13.9% |
| 1982 | 3.81 % change on previous year | +5.4% |
| 1983 | 3.68 % change on previous year | -3.5% |
| 1984 | 3.24 % change on previous year | -11.8% |
| 1985 | 2.83 % change on previous year | -12.6% |
| 1986 | 2.54 % change on previous year | -10.4% |
| 1987 | 1.57 % change on previous year | -38.2% |
| 1988 | -0.36 % change on previous year | -123.0% |
| 1989 | -1.4 % change on previous year | +289.6% |
| 1990 | 0.0811 % change on previous year | -105.8% |
| 1991 | 1.5 % change on previous year | +1742.5% |
| 1992 | 0.9686 % change on previous year | -35.2% |
| 1993 | 0.3633 % change on previous year | -62.5% |
| 1994 | 1.08 % change on previous year | +197.3% |
| 1995 | 1.15 % change on previous year | +6.5% |
| 1996 | -0.4173 % change on previous year | -136.3% |
| 1997 | -2.01 % change on previous year | +382.7% |
| 1998 | -2.7 % change on previous year | +33.8% |
| 1999 | 1.09 % change on previous year | -140.4% |
| 2000 | 5.2 % change on previous year | +377.0% |
| 2001 | 6.44 % change on previous year | +23.8% |
| 2002 | 8.09 % change on previous year | +25.7% |
| 2003 | 8.22 % change on previous year | +1.6% |
| 2004 | 5.81 % change on previous year | -29.3% |
| 2005 | 4.18 % change on previous year | -28.1% |
| 2006 | 4.12 % change on previous year | -1.4% |
| 2007 | 3.68 % change on previous year | -10.7% |
| 2008 | 3.44 % change on previous year | -6.5% |
| 2009 | 4.03 % change on previous year | +17.1% |
| 2010 | 4.79 % change on previous year | +18.8% |
| 2011 | 4.95 % change on previous year | +3.2% |
| 2012 | 5.04 % change on previous year | +1.8% |
| 2013 | 4.97 % change on previous year | -1.3% |
| 2014 | 3.47 % change on previous year | -30.1% |
| 2015 | 2.46 % change on previous year | -29.1% |
| 2016 | 2.01 % change on previous year | -18.4% |
| 2017 | 1.31 % change on previous year | -34.7% |
| 2018 | 2.34 % change on previous year | +78.5% |
| 2019 | 3.16 % change on previous year | +35.0% |
| 2020 | 2.73 % change on previous year | -13.7% |
| 2021 | 2.34 % change on previous year | -14.3% |
| 2022 | 2.01 % change on previous year | -13.9% |
| 2023 | 3.18 % change on previous year | +58.1% |
| 2024 | 1.78 % change on previous year | -44.2% |
| 2025 | -1.74 % change on previous year | -197.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 1.89 % change on previous year | -0.016 % change on previous year | 2.96 % change on previous year | 9 |
| 1970s | 2.1 % change on previous year | 1.91 % change on previous year | 2.73 % change on previous year | 10 |
| 1980s | 2.27 % change on previous year | -1.4 % change on previous year | 3.81 % change on previous year | 10 |
| 1990s | 0.1102 % change on previous year | -2.7 % change on previous year | 1.5 % change on previous year | 10 |
| 2000s | 5.32 % change on previous year | 3.44 % change on previous year | 8.22 % change on previous year | 10 |
| 2010s | 3.45 % change on previous year | 1.31 % change on previous year | 5.04 % change on previous year | 10 |
| 2020s | 1.72 % change on previous year | -1.74 % change on previous year | 3.18 % change on previous year | 6 |
Countries ranked near South Sudan
- 181 Thailand -1.72 % change on previous year compare
- 182 Barbados -1.72 % change on previous year compare
- 183 Bermuda -1.73 % change on previous year compare
- 185 Ecuador -1.75 % change on previous year compare
- 186 Denmark -1.77 % change on previous year compare
- 187 Poland -1.79 % change on previous year compare
More health data for South Sudan
- Heat deaths vs projected death rates, annual growth rate 0.665 % change on previous year (2090)
- Un projection of annual infant deaths, annual growth rate -1.47 % change on previous year (2100)
- Estimated changes in temperature-related death rates compared to projected death rates 1,347 deaths per 1,000 people (2090)
- Number of infants who die before age 1 12,029 deaths (2100)
- Deaths in armed conflicts by region 123 deaths (2026)
- Deaths in armed conflicts based on where they occurred 123 deaths (2026)
- Population ages 35-39, male, per capita 0.021 units per person (2025)
- Population ages 15-19, female, annual growth rate 2.76 % change on previous year (2025)
- Population ages 40-44, male, annual growth rate -1.24 % change on previous year (2025)
- Population ages 40-44, female, per capita 0.0273 units per person (2025)
Frequently asked questions
- What is population ages 10-14, female, annual growth rate in South Sudan?
- Population ages 10-14, female, annual growth rate in South Sudan was -1.74 % change on previous year in 2025, according to Statizoid (derived).
- What is the highest population ages 10-14, female, annual growth rate recorded in South Sudan?
- The highest recorded value was 8.22 % change on previous year in 2003.
- What is the lowest population ages 10-14, female, annual growth rate recorded in South Sudan?
- The lowest recorded value was -2.7 % change on previous year in 1998.
- How does South Sudan rank for population ages 10-14, female, annual growth rate?
- South Sudan ranks 184th out of 218 countries with data for 2025.
- Is population ages 10-14, female, annual growth rate rising or falling in South Sudan?
- Over the last ten years it is down 170.6%. The long-run trend across the full record is volatile.
- Where does this South Sudan data come from?
- The figures come from Statizoid (derived), published as part of Population ages 10-14, 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 10-14, female. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Population ages 10-14, 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 10-14, female. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.