South Sudan vs Tanzania
South Sudan vs Tanzania: Days above 35 °C
Days above 35 °C in 2014: 115.2 days in South Sudan and 1.7 days in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Sudan, by 113.5 days, or 69 times that in Tanzania.
days 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 South Sudan at 172 days and Tanzania at 16.1 days in 2100.
Every year
days a year · CMIP6
| Year | South Sudan | Tanzania |
|---|---|---|
| 2014 | 115.2 | 1.7 |
| 2013 | 111.2 | 1.7 |
| 2012 | 108.8 | 1.6 |
| 2011 | 112.9 | 1.9 |
| 2010 | 112.8 | 1.6 |
| 2009 | 104.3 | 1.4 |
| 2008 | 104.2 | 1.3 |
| 2007 | 100.7 | 1.6 |
| 2006 | 105.3 | 1.3 |
| 2005 | 102.8 | 1.3 |
| 2004 | 103.4 | 1.4 |
| 2003 | 102.5 | 1.4 |
| 2002 | 104.6 | 1.5 |
| 2001 | 108.9 | 1.7 |
| 2000 | 99.1 | 1.1 |
| 1999 | 97.8 | 1.1 |
| 1998 | 97.6 | 1.4 |
| 1997 | 99.2 | 1.2 |
| 1996 | 94 | 1.1 |
| 1995 | 94 | 0.9 |
| 1994 | 89.9 | 0.8 |
| 1993 | 84.6 | 0.7 |
| 1992 | 87.9 | 0.8 |
| 1991 | 95.2 | 0.9 |
| 1990 | 94 | 0.9 |
| 1989 | 93.6 | 1 |
| 1988 | 98 | 1.1 |
| 1987 | 97.7 | 1 |
| 1986 | 97.9 | 1.1 |
| 1985 | 89.8 | 0.9 |
| 1984 | 90.8 | 0.8 |
| 1983 | 90.8 | 0.8 |
| 1982 | 89.3 | 0.9 |
| 1981 | 96.2 | 0.8 |
| 1980 | 97.5 | 0.8 |
| 1979 | 95.4 | 1 |
| 1978 | 89.1 | 0.6 |
| 1977 | 92.9 | 0.7 |
| 1976 | 86.7 | 0.5 |
| 1975 | 91.5 | 0.7 |
| 1974 | 90 | 0.8 |
| 1973 | 90.1 | 0.6 |
| 1972 | 89.8 | 0.6 |
| 1971 | 84.8 | 0.7 |
| 1970 | 87.8 | 0.8 |
| 1969 | 90.8 | 0.7 |
| 1968 | 85.5 | 0.6 |
| 1967 | 84.3 | 0.6 |
| 1966 | 87 | 0.6 |
| 1965 | 82.2 | 0.6 |
| 1964 | 79.2 | 0.5 |
| 1963 | 84.4 | 0.6 |
| 1962 | 93.5 | 0.9 |
| 1961 | 90.4 | 0.9 |
| 1960 | 92 | 1 |
| 1959 | 90.1 | 0.8 |
| 1958 | 88 | 0.8 |
| 1957 | 90.7 | 0.6 |
| 1956 | 85.5 | 0.6 |
| 1955 | 87.3 | 0.7 |
| 1954 | 91 | 0.7 |
| 1953 | 95.5 | 0.7 |
| 1952 | 88.7 | 0.6 |
| 1951 | 93.2 | 0.6 |
| 1950 | 86.7 | 0.7 |
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
| Year | South Sudan | Tanzania |
|---|---|---|
| 2015 | 112.487.1–135.9 | 2.50.8–5.7 |
| 2016 | 103.878.8–129.9 | 1.90.6–5.5 |
| 2017 | 114.384.4–134.8 | 2.30.5–6 |
| 2018 | 109.674.1–140.7 | 2.50.8–5.9 |
| 2019 | 107.285.2–133.3 | 2.50.8–6.2 |
| 2020 | 114.783–140.8 | 3.21.3–7.5 |
| 2021 | 112.182.3–137.9 | 3.10.8–8 |
| 2022 | 108.880.6–137.3 | 2.80.8–9 |
| 2023 | 113.188.8–147.8 | 3.51.1–8.4 |
| 2024 | 121.591–149.4 | 3.81.2–7.9 |
| 2025 | 115.889.9–141.1 | 3.31–8.2 |
| 2026 | 112.283.6–145.9 | 3.20.8–9.3 |
| 2027 | 115.482.9–143.9 | 3.51–7.8 |
| 2028 | 118.387.9–145.1 | 3.21–7.3 |
| 2029 | 120.789.9–140.1 | 3.51–9.7 |
| 2030 | 117.292.5–147.7 | 3.71.2–8.9 |
| 2031 | 123.397.3–147.8 | 41.4–10.1 |
| 2032 | 118.791.5–148.1 | 3.61.1–8.4 |
| 2033 | 123.791.9–159.9 | 4.61.6–11.5 |
| 2034 | 120.889.9–159.1 | 4.81.6–11.1 |
| 2035 | 122.892.3–153.1 | 4.41.7–11.8 |
| 2036 | 118.790.7–147.5 | 4.61.5–11.5 |
| 2037 | 127.792.4–161 | 4.91.4–10.9 |
| 2038 | 129.5101.9–159.2 | 4.31.5–10.5 |
| 2039 | 128.394.6–153.1 | 4.91.8–10.6 |
| 2040 | 125.894.8–150.7 | 5.41.7–12.1 |
| 2041 | 133.899.2–157.8 | 5.61.5–13.8 |
| 2042 | 129.3101.8–150.8 | 5.61.9–11.7 |
| 2043 | 124.788.4–161.9 | 4.31.5–10.9 |
| 2044 | 12893.3–153.7 | 4.91.7–13.1 |
| 2045 | 134.398–166.7 | 6.32.4–12.7 |
| 2046 | 142.1102.3–172.2 | 6.92–15 |
| 2047 | 139.3111.2–169.4 | 72.7–15.9 |
| 2048 | 133.1102.8–175.4 | 7.22.8–17.2 |
| 2049 | 144106.7–173.4 | 6.32.2–15.1 |
| 2050 | 131.8102.7–175.9 | 6.92.3–17.9 |
| 2051 | 136.9103.8–181 | 8.53.4–18.4 |
| 2052 | 140.6107.1–170.7 | 7.43.3–17.2 |
| 2053 | 136.798.4–174.4 | 6.81.5–16.2 |
| 2054 | 143.499–172.9 | 8.33–17.8 |
| 2055 | 143.4108.5–177.2 | 8.73.3–19.2 |
| 2056 | 140.5106.1–187.1 | 8.52.4–20.4 |
| 2057 | 152.3116.4–191.2 | 8.92.3–20.4 |
| 2058 | 151.7101.9–183.5 | 9.83.2–18.7 |
| 2059 | 145.9103.5–182.1 | 10.33.6–21.9 |
| 2060 | 148.7106.5–190.2 | 10.82.8–22.6 |
| 2061 | 149.5111.4–191.8 | 10.52.9–22.7 |
| 2062 | 146.1106.4–194.6 | 10.43.7–24.8 |
| 2063 | 147.1109.1–180.2 | 103.1–21.5 |
| 2064 | 149.2109.2–185.1 | 10.83.9–22.7 |
| 2065 | 153.7122.4–192.3 | 11.13.3–27 |
| 2066 | 150.4119.4–190.7 | 11.23.5–25.4 |
| 2067 | 149.8119–196.2 | 10.83.2–25.6 |
| 2068 | 153.9118.8–193.6 | 10.23.5–26.2 |
| 2069 | 148.8111.4–191.2 | 11.43.3–24.2 |
| 2070 | 154.5117–195.8 | 11.54.2–26.5 |
| 2071 | 153.5117.6–200.4 | 12.43.6–24.9 |
| 2072 | 161.7122–189.2 | 12.54.8–25.9 |
| 2073 | 159.7124.4–198.7 | 13.34.6–29.5 |
| 2074 | 151.9106.9–200.6 | 10.63.5–24 |
| 2075 | 155.5106.6–190 | 11.74.4–24.4 |
| 2076 | 159.9116.3–216.8 | 12.74.2–28.7 |
| 2077 | 163.6123.7–216.5 | 12.34.7–26.7 |
| 2078 | 161.4123.3–199.6 | 134.8–25.9 |
| 2079 | 158.8127.9–190.6 | 144–27.6 |
| 2080 | 161.6116.1–198.3 | 13.34–28.4 |
| 2081 | 163.3126.3–208.9 | 14.23.5–28.5 |
| 2082 | 159.2127.6–200.5 | 13.94.8–27.1 |
| 2083 | 168129–211.4 | 15.26.1–31.9 |
| 2084 | 162.7120.4–199.8 | 16.45.2–30.7 |
| 2085 | 166.1126.3–209.4 | 15.96.6–31.5 |
| 2086 | 162.5122.2–208.7 | 15.45.3–31.1 |
| 2087 | 163.7110.7–202.2 | 14.94.7–29.5 |
| 2088 | 164.8122.3–214.2 | 16.54.6–31.4 |
| 2089 | 162.4126–199.8 | 15.65.7–28.3 |
| 2090 | 167120.8–211.8 | 165.3–32.8 |
| 2091 | 165.6119.3–210.6 | 18.56.3–35.4 |
| 2092 | 173.9126.9–217.6 | 17.26.3–35.2 |
| 2093 | 168.8131.2–208.4 | 17.36.7–32.3 |
| 2094 | 171.1131.9–222.8 | 19.45.1–34.5 |
| 2095 | 171.7128.2–224.7 | 17.56.5–34.6 |
| 2096 | 166.3122.8–214.1 | 166.2–33.4 |
| 2097 | 165.8123.7–214.6 | 16.35.5–32.4 |
| 2098 | 165.5125–217.9 | 16.45.6–35.3 |
| 2099 | 171126.6–227.6 | 16.94.3–33.2 |
| 2100 | 172124.2–217.9 | 16.15.8–35 |
Each country on its own
Good to know
- Days in a year whose highest temperature passes 35 °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
South Sudan vs Tanzania
Health
- Life expectancySouth Sudan: 57.6 years in 2023Tanzania: 67 years in 2023
- Child mortalitySouth Sudan: 9.7 per 100 live births in 2024Tanzania: 3.7 per 100 live births in 2024
- Infant mortalitySouth Sudan: 63.8 per 1,000 live births in 2023Tanzania: 28.9 per 1,000 live births in 2023
- DepressionSouth Sudan: 3.7% in 2017Tanzania: 3.69% in 2017
- Suicide rateSouth Sudan: 12 per 100,000 people in 2017Tanzania: 8.8 per 100,000 people in 2017
People
- PopulationSouth Sudan: 11.5 million people in 2023Tanzania: 66.6 million people in 2023
- Population growthSouth Sudan: 5.86% a year in 2023Tanzania: 2.88% a year in 2023
- Fertility rateSouth Sudan: 3.86 births per woman in 2023Tanzania: 4.61 births per woman in 2023
- Urban populationSouth Sudan: 21.7% in 2025Tanzania: 36.9% in 2025
- Median ageSouth Sudan: 18 years in 2023Tanzania: 17.2 years in 2023
- People aged 65 and overSouth Sudan: 2.9% in 2023Tanzania: 3% in 2023
- Net migration rateSouth Sudan: 39.6 per 1,000 people in 2023Tanzania: -0.6 per 1,000 people in 2023
Economy
Education
Politics
Conflict
Military
- Military spendingSouth Sudan: 3.43% of GDP in 2025Tanzania: 1.16% of GDP in 2025
- Military spending in US dollarsSouth Sudan: $103M in 2025Tanzania: $983M in 2025
- Military spending per personSouth Sudan: $15 in 2025Tanzania: $15 in 2025
- Military share of state spendingSouth Sudan: 18.4% of government spending in 2025Tanzania: 5.8% of government spending in 2025
- Armed forces personnelSouth Sudan: 53,000 people in 2020Tanzania: 28,000 people in 2020
- National powerSouth Sudan: 0.08% of world capability in 2022Tanzania: 0.25% of world capability in 2022
- Armed forces, share of workersSouth Sudan: 1.18% of the labour force in 2020Tanzania: 0.1% of the labour force in 2020
- Arms importsSouth Sudan: 10 million TIV in 2022Tanzania: 4 million TIV in 2025