Rwanda vs South Sudan
Rwanda vs South Sudan: Tropical nights
Tropical nights in 2014: 2.4 nights in Rwanda and 343.7 nights in South Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Sudan, by 341.3 nights, or 150 times that in Rwanda.
nights a year · CMIP6
What the numbers say
- South Sudan has been higher in every year both have figures for since 1950.
- The CMIP6 model median (SSP2-4.5, middle of the road) puts Rwanda at 34.2 nights and South Sudan at 361.1 nights in 2100.
Every year
nights a year · CMIP6
| Year | Rwanda | South Sudan |
|---|---|---|
| 2014 | 2.4 | 343.7 |
| 2013 | 2.8 | 342.1 |
| 2012 | 2.9 | 342.8 |
| 2011 | 2.7 | 343.3 |
| 2010 | 2.3 | 341.9 |
| 2009 | 2.5 | 338.8 |
| 2008 | 2 | 339.8 |
| 2007 | 1.9 | 336.9 |
| 2006 | 2.2 | 339 |
| 2005 | 2 | 336.8 |
| 2004 | 1.8 | 336.6 |
| 2003 | 1.8 | 338.9 |
| 2002 | 2.4 | 336.6 |
| 2001 | 2.4 | 338.7 |
| 2000 | 1.7 | 334.6 |
| 1999 | 1.6 | 331.8 |
| 1998 | 1.5 | 333.6 |
| 1997 | 1 | 334.5 |
| 1996 | 1.1 | 330.7 |
| 1995 | 1.1 | 329.6 |
| 1994 | 1.2 | 328.2 |
| 1993 | 0.9 | 321.9 |
| 1992 | 0.6 | 321.5 |
| 1991 | 1.2 | 329.1 |
| 1990 | 1.7 | 332.6 |
| 1989 | 1.5 | 329 |
| 1988 | 1.2 | 330.5 |
| 1987 | 1.3 | 328.8 |
| 1986 | 1.2 | 330.4 |
| 1985 | 0.8 | 327.1 |
| 1984 | 1 | 324.1 |
| 1983 | 0.9 | 322.8 |
| 1982 | 0.8 | 322.8 |
| 1981 | 1.1 | 329.9 |
| 1980 | 1.1 | 326.5 |
| 1979 | 0.9 | 325.3 |
| 1978 | 0.7 | 324.1 |
| 1977 | 1.1 | 325 |
| 1976 | 0.8 | 322.6 |
| 1975 | 1 | 320.8 |
| 1974 | 0.9 | 320.1 |
| 1973 | 1.3 | 325.4 |
| 1972 | 0.7 | 324.7 |
| 1971 | 0.7 | 319.9 |
| 1970 | 0.6 | 322.3 |
| 1969 | 0.8 | 318.5 |
| 1968 | 0.8 | 318.3 |
| 1967 | 0.5 | 315.6 |
| 1966 | 0.6 | 317.2 |
| 1965 | 0.6 | 316.5 |
| 1964 | 0.4 | 312.9 |
| 1963 | 0.6 | 309.8 |
| 1962 | 0.9 | 323.9 |
| 1961 | 0.8 | 323.3 |
| 1960 | 1.1 | 324.8 |
| 1959 | 0.7 | 321.5 |
| 1958 | 0.9 | 320.2 |
| 1957 | 0.8 | 322.1 |
| 1956 | 0.7 | 319.5 |
| 1955 | 0.8 | 317 |
| 1954 | 0.9 | 322.4 |
| 1953 | 0.8 | 321.6 |
| 1952 | 0.8 | 322.4 |
| 1951 | 1 | 323.9 |
| 1950 | 0.9 | 318.6 |
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
| Year | Rwanda | South Sudan |
|---|---|---|
| 2015 | 3.41.5–7.6 | 342.7327.5–353.3 |
| 2016 | 2.91.2–5.6 | 342.1325.1–351.1 |
| 2017 | 3.41.8–5.5 | 344.5326.9–353.7 |
| 2018 | 3.81.8–7.1 | 344.1324.9–353.7 |
| 2019 | 3.61.3–6.9 | 344.5324–354.2 |
| 2020 | 4.32.1–7.9 | 344.9326.9–355.6 |
| 2021 | 4.22.6–7.5 | 347.3329.2–355.3 |
| 2022 | 42.9–7.8 | 344.5326.1–355.5 |
| 2023 | 4.41.9–8.4 | 347.2329.2–357 |
| 2024 | 52–9.6 | 350.4331.6–357.9 |
| 2025 | 4.42.1–9.5 | 347.1330.2–357.7 |
| 2026 | 4.81.7–8.9 | 347.6329.5–356.7 |
| 2027 | 4.92.1–8.7 | 346327.1–356.1 |
| 2028 | 5.21.7–8.7 | 349.4333.5–357.3 |
| 2029 | 5.43–9.2 | 348.6337.5–355.6 |
| 2030 | 5.33.1–10.2 | 349.3335.5–357.2 |
| 2031 | 6.63.4–10.4 | 351.3336.3–357.6 |
| 2032 | 6.34–12.2 | 348.6333.6–357.7 |
| 2033 | 6.52.8–12 | 350.8336.7–359.4 |
| 2034 | 6.13.3–12.4 | 350.2337.5–358.3 |
| 2035 | 6.83.2–12.7 | 352.3331–359.5 |
| 2036 | 6.83.7–12.7 | 352340.8–359.1 |
| 2037 | 7.94.3–14.6 | 351.9337.4–359.5 |
| 2038 | 8.44.1–15.3 | 354.3341.9–359.6 |
| 2039 | 7.23.6–15.9 | 353.8340.6–360 |
| 2040 | 7.74.3–14.8 | 353.5338.7–360.2 |
| 2041 | 8.44.7–15 | 353.2336.9–360.2 |
| 2042 | 8.44.4–20.2 | 351.9336.9–360.3 |
| 2043 | 7.83.8–16.5 | 353.2336.2–359.5 |
| 2044 | 7.24.1–14.5 | 353.7339.9–361.1 |
| 2045 | 9.24.6–21 | 353.7342.2–360.6 |
| 2046 | 124.6–24.1 | 355.4342.2–361 |
| 2047 | 11.25.4–26 | 355.7344–361.2 |
| 2048 | 11.74.6–25.4 | 354.7342.5–361.6 |
| 2049 | 12.25.7–26.7 | 356.7346.4–361.1 |
| 2050 | 11.75.4–22.9 | 356.8345.6–361.7 |
| 2051 | 12.36.4–24 | 356345.4–361.8 |
| 2052 | 14.56–26.1 | 355.3343.8–362.2 |
| 2053 | 12.55–23.9 | 355.5343.4–361.7 |
| 2054 | 12.85.6–34.3 | 356.9345.2–362.1 |
| 2055 | 12.66.2–32.8 | 356.9345–361.7 |
| 2056 | 145.6–31.6 | 356.7345.7–363.1 |
| 2057 | 14.96–32.3 | 358.4349.2–362.6 |
| 2058 | 15.15.3–38.7 | 357.7345–361.8 |
| 2059 | 14.96.7–38.1 | 358.6348.4–362.6 |
| 2060 | 18.46.1–38.2 | 357.7344.7–363.8 |
| 2061 | 16.65.9–40.7 | 358.2345.8–362.7 |
| 2062 | 17.25.6–49.3 | 357.4345.2–363.1 |
| 2063 | 16.46.3–39.1 | 358.8347.3–362.6 |
| 2064 | 21.76.3–40.1 | 358.9348.4–363.3 |
| 2065 | 17.17.2–40.5 | 359.1351.1–362.9 |
| 2066 | 18.37.2–42.5 | 359.2350.6–363.1 |
| 2067 | 16.86.3–50.2 | 358.6347.6–363.3 |
| 2068 | 19.76.6–53.2 | 359.9350.3–364.4 |
| 2069 | 17.66–55 | 357.6347–363.1 |
| 2070 | 18.17.6–53.8 | 359.5350.4–363 |
| 2071 | 19.36.3–60 | 359.6350.5–363.2 |
| 2072 | 22.18.7–49.3 | 360.2348.4–364.2 |
| 2073 | 24.39.2–61.7 | 359.3350.3–363.5 |
| 2074 | 23.28.3–57.2 | 359.5348–363.3 |
| 2075 | 21.86.3–53.9 | 359.9348.5–363.4 |
| 2076 | 26.77–59.7 | 359.4350.5–364 |
| 2077 | 24.19.1–64.8 | 359.9352.2–363.7 |
| 2078 | 21.48.3–62.1 | 360351.2–363.4 |
| 2079 | 26.47.8–64.8 | 359.8350.9–363.3 |
| 2080 | 28.78.2–62.2 | 361.3349.8–364.6 |
| 2081 | 25.79–66.4 | 360.4350.5–363.9 |
| 2082 | 27.59.2–63.2 | 360.3351–363.3 |
| 2083 | 31.68.7–87 | 360351.1–363.8 |
| 2084 | 31.39.4–78.4 | 360.8350.8–364.9 |
| 2085 | 35.29.2–79.6 | 361352.3–363.7 |
| 2086 | 299.7–76.5 | 360.4352.5–364.1 |
| 2087 | 30.69.5–80 | 359.7347.8–363.8 |
| 2088 | 32.59.4–76.8 | 360.3352.2–364.7 |
| 2089 | 27.49.3–82.1 | 360.2352.3–363.8 |
| 2090 | 25.911.4–96.6 | 360.2351.3–363.9 |
| 2091 | 43.28.7–89.1 | 360.9351.6–364.1 |
| 2092 | 33.910.5–89.6 | 360.7352.4–364.7 |
| 2093 | 35.510.9–91 | 361.6354.1–363.9 |
| 2094 | 34.79.4–91.6 | 361.3353.8–364.3 |
| 2095 | 40.412.9–106.1 | 361.5353.2–364 |
| 2096 | 35.99.8–99.9 | 361.1352.8–365.1 |
| 2097 | 32.69.9–89.6 | 360.7351.9–364.2 |
| 2098 | 35.69.8–105.9 | 361.5352.6–364.1 |
| 2099 | 32.810.9–105.8 | 361.2352.4–364.1 |
| 2100 | 34.211.1–102.5 | 361.1352.6–364.2 |
Each country on its own
Good to know
- Nights in a year when the temperature stays above 20 °C, averaged over the country.
- Source: World Bank Climate Change Knowledge Portal, CMIP6 multi-model median.
- The dashed line is the CMIP6 model median (SSP2-4.5, middle of the road), a scenario rather than a forecast; the band is its models’ 10th–90th percentile.
- Climate model values are the median of the CMIP6 models, run on past emissions to 2014 and on SSP2-4.5, a middle-of-the-road path, after: they are not measurements.
How the layers work, where their data comes from and what they can’t tell you: Countries through time
Rwanda vs South Sudan
Health
- Life expectancyRwanda: 67.8 years in 2023South Sudan: 57.6 years in 2023
- Child mortalityRwanda: 3.8 per 100 live births in 2024South Sudan: 9.7 per 100 live births in 2024
- Infant mortalityRwanda: 27.5 per 1,000 live births in 2023South Sudan: 63.8 per 1,000 live births in 2023
- DepressionRwanda: 3.87% in 2017South Sudan: 3.7% in 2017
- Suicide rateRwanda: 11 per 100,000 people in 2017South Sudan: 12 per 100,000 people in 2017
People
- PopulationRwanda: 14 million people in 2023South Sudan: 11.5 million people in 2023
- Population growthRwanda: 2.18% a year in 2023South Sudan: 5.86% a year in 2023
- Fertility rateRwanda: 3.7 births per woman in 2023South Sudan: 3.86 births per woman in 2023
- Urban populationRwanda: 30.9% in 2025South Sudan: 21.7% in 2025
- Median ageRwanda: 19.4 years in 2023South Sudan: 18 years in 2023
- People aged 65 and overRwanda: 3.8% in 2023South Sudan: 2.9% in 2023
- Net migration rateRwanda: -0.6 per 1,000 people in 2023South Sudan: 39.6 per 1,000 people in 2023
Economy
Education
Politics
Conflict
Military
- Military spendingRwanda: 1.29% of GDP in 2025South Sudan: 3.43% of GDP in 2025
- Military spending in US dollarsRwanda: $194M in 2025South Sudan: $103M in 2025
- Military spending per personRwanda: $13 in 2025South Sudan: $15 in 2025
- Military share of state spendingRwanda: 4.7% of government spending in 2025South Sudan: 18.4% of government spending in 2025
- Armed forces personnelRwanda: 35,000 people in 2020South Sudan: 53,000 people in 2020
- National powerRwanda: 0.07% of world capability in 2022South Sudan: 0.08% of world capability in 2022
- Armed forces, share of workersRwanda: 0.7% of the labour force in 2020South Sudan: 1.18% of the labour force in 2020
- Arms importsRwanda: 37 million TIV in 2023South Sudan: 10 million TIV in 2022