Bangladesh vs South Africa
Bangladesh vs South Africa: Days above 35 °C
Days above 35 °C in 2014: 19.4 days in Bangladesh and 13.2 days in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Bangladesh, by 6.2 days, or 1.47 times that in South Africa.
days a year · CMIP6
What the numbers say
- Bangladesh has been higher since 2014, when it overtook South Africa.
- The CMIP6 model median (SSP2-4.5, middle of the road) puts Bangladesh at 56.8 days and South Africa at 40 days in 2100.
Every year
days a year · CMIP6
| Year | Bangladesh | South Africa |
|---|---|---|
| 2014 | 19.4 | 13.2 |
| 2013 | 14.1 | 15.2 |
| 2012 | 17 | 14.3 |
| 2011 | 13.4 | 11.7 |
| 2010 | 16.9 | 12.5 |
| 2009 | 14.4 | 13.2 |
| 2008 | 14 | 12.3 |
| 2007 | 14.3 | 12 |
| 2006 | 17.8 | 11.9 |
| 2005 | 16.1 | 13.3 |
| 2004 | 14.7 | 13.9 |
| 2003 | 15.9 | 12.6 |
| 2002 | 17.7 | 12.6 |
| 2001 | 16.9 | 11.1 |
| 2000 | 16.6 | 11.8 |
| 1999 | 15.6 | 11 |
| 1998 | 15.4 | 12.1 |
| 1997 | 16.8 | 11.3 |
| 1996 | 14.2 | 9.4 |
| 1995 | 13.2 | 8.3 |
| 1994 | 15.2 | 8.5 |
| 1993 | 12.4 | 7.8 |
| 1992 | 8 | 7.1 |
| 1991 | 18.8 | 11.1 |
| 1990 | 18.5 | 10.1 |
| 1989 | 13.7 | 11.5 |
| 1988 | 13.5 | 9.4 |
| 1987 | 17.9 | 11.5 |
| 1986 | 17.9 | 10.2 |
| 1985 | 14.4 | 8.7 |
| 1984 | 19 | 8.7 |
| 1983 | 14.6 | 8.6 |
| 1982 | 16.3 | 10.5 |
| 1981 | 15.4 | 9.7 |
| 1980 | 14.5 | 10.3 |
| 1979 | 16.7 | 9.4 |
| 1978 | 15 | 9.5 |
| 1977 | 14.1 | 9.3 |
| 1976 | 17.5 | 9 |
| 1975 | 14.4 | 9.3 |
| 1974 | 17.3 | 8.8 |
| 1973 | 17 | 9.5 |
| 1972 | 15.7 | 8.4 |
| 1971 | 16.9 | 8.7 |
| 1970 | 16.5 | 8.2 |
| 1969 | 15.5 | 8.9 |
| 1968 | 16.2 | 8.4 |
| 1967 | 13.5 | 6.9 |
| 1966 | 15.6 | 7.8 |
| 1965 | 15.4 | 7.9 |
| 1964 | 14.7 | 6.4 |
| 1963 | 16.1 | 7 |
| 1962 | 19.1 | 8.9 |
| 1961 | 18 | 10.5 |
| 1960 | 19.2 | 9.7 |
| 1959 | 18 | 8.9 |
| 1958 | 17.5 | 9.3 |
| 1957 | 18.1 | 10.3 |
| 1956 | 19.2 | 7.9 |
| 1955 | 16.9 | 10.3 |
| 1954 | 19.4 | 9.1 |
| 1953 | 21 | 7.8 |
| 1952 | 17.2 | 9 |
| 1951 | 19.9 | 8.4 |
| 1950 | 22.3 | 8.7 |
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
| Year | Bangladesh | South Africa |
|---|---|---|
| 2015 | 17.85.5–30.2 | 14.76.8–24 |
| 2016 | 17.53.9–31.5 | 13.46.3–22.2 |
| 2017 | 14.14.8–29 | 15.27.7–24.6 |
| 2018 | 13.92–31 | 179.7–28 |
| 2019 | 14.93.9–28 | 14.67.1–24.5 |
| 2020 | 14.94.1–36.3 | 15.77.4–23.5 |
| 2021 | 17.25.6–33 | 17.99.4–27 |
| 2022 | 17.21.4–36.6 | 189.8–29 |
| 2023 | 18.16.6–32.2 | 18.69.9–27.1 |
| 2024 | 21.24.9–36.6 | 17.89.8–28 |
| 2025 | 16.73.9–36.8 | 16.57.5–29.6 |
| 2026 | 18.36.7–34 | 20.19.3–29.4 |
| 2027 | 18.33.5–38.2 | 19.910.5–32.8 |
| 2028 | 18.64.2–33.2 | 19.110.6–33.2 |
| 2029 | 18.22.2–34.9 | 21.412.9–33.6 |
| 2030 | 174.6–31.3 | 21.19.6–33.9 |
| 2031 | 153.9–32.1 | 20.79.9–35.4 |
| 2032 | 19.33.2–34.3 | 2110.9–34.8 |
| 2033 | 17.53.9–32 | 22.612.2–34.2 |
| 2034 | 16.24–29.3 | 24.615–35.1 |
| 2035 | 16.26.6–31.6 | 20.911.7–31.3 |
| 2036 | 17.76.3–36.6 | 21.111.9–32.2 |
| 2037 | 20.65.7–39.1 | 23.412.6–35.2 |
| 2038 | 21.96.6–38.5 | 26.216–36.7 |
| 2039 | 21.45.1–43.2 | 22.611.4–35.9 |
| 2040 | 22.86–48.8 | 21.510.9–35.4 |
| 2041 | 19.44.7–44.5 | 23.213.2–35.8 |
| 2042 | 22.86.3–50.6 | 25.214.3–39.6 |
| 2043 | 25.17.2–47 | 25.613.4–39.9 |
| 2044 | 24.77.9–45 | 26.113.1–41.6 |
| 2045 | 24.110–42.5 | 26.813.1–40.3 |
| 2046 | 28.57.8–55.7 | 25.914.5–40.8 |
| 2047 | 26.47.4–50.6 | 26.713.7–41.4 |
| 2048 | 30.28–52.9 | 29.215.6–45.4 |
| 2049 | 29.511.3–54.1 | 29.117.3–44.7 |
| 2050 | 26.810.4–47.8 | 29.815.7–48.6 |
| 2051 | 32.713.4–54.3 | 27.913.6–45.2 |
| 2052 | 29.313–59.8 | 31.918.3–46.8 |
| 2053 | 26.79.4–54.9 | 28.318.6–43.2 |
| 2054 | 29.910.9–57.7 | 30.717.3–50.1 |
| 2055 | 34.613.5–60.8 | 2917.8–48 |
| 2056 | 34.215.2–59 | 29.916–45.3 |
| 2057 | 3912.3–72.8 | 3117.4–50.1 |
| 2058 | 38.917–69.9 | 31.115.7–46 |
| 2059 | 35.914.6–66 | 3216.1–49.9 |
| 2060 | 36.818.6–65.3 | 33.419.8–49.7 |
| 2061 | 38.919.6–65.9 | 32.718.1–51.1 |
| 2062 | 35.115.8–63.8 | 31.317.7–52.6 |
| 2063 | 42.114.5–66.9 | 32.317.4–50.7 |
| 2064 | 37.317–62.7 | 31.817.7–47.6 |
| 2065 | 35.618.5–60.2 | 31.716.2–50.7 |
| 2066 | 35.812.3–64.7 | 34.318.4–55.3 |
| 2067 | 32.612.9–61.8 | 32.617.2–52.4 |
| 2068 | 40.717.5–76.4 | 33.819.2–54.3 |
| 2069 | 43.915.7–73.3 | 34.621.3–52.4 |
| 2070 | 33.714.7–63 | 32.819.3–51.1 |
| 2071 | 42.817.7–73.9 | 35.320.8–55.8 |
| 2072 | 42.718.2–68.1 | 37.820.3–54.6 |
| 2073 | 44.423.8–82.3 | 4425.6–62.1 |
| 2074 | 4214.1–71.6 | 38.320.7–55.8 |
| 2075 | 41.515.2–70.1 | 34.218.7–53.1 |
| 2076 | 39.914.1–81.2 | 38.822.9–57.5 |
| 2077 | 42.723.6–83.6 | 39.124.2–60.3 |
| 2078 | 44.424.7–79.2 | 35.521.6–53.4 |
| 2079 | 43.923.1–74.7 | 40.522.9–59.7 |
| 2080 | 52.224.5–83 | 40.523.4–59 |
| 2081 | 50.628.6–83 | 38.523.8–59.9 |
| 2082 | 49.322.9–92.1 | 38.622.5–58.2 |
| 2083 | 49.218.9–88.7 | 38.518.7–62.9 |
| 2084 | 50.421.6–92.6 | 39.720.6–58.4 |
| 2085 | 49.920.5–104.5 | 4021.5–65.8 |
| 2086 | 50.922.5–100.6 | 40.823–63.7 |
| 2087 | 53.125–82.1 | 38.324.6–58.6 |
| 2088 | 46.314.7–108.4 | 42.222.6–66.3 |
| 2089 | 52.722.8–107.6 | 41.624.2–59.1 |
| 2090 | 55.216.3–89.2 | 42.326.1–66.4 |
| 2091 | 51.331.2–98 | 43.324.2–63.6 |
| 2092 | 55.422.1–101.2 | 43.928–61.6 |
| 2093 | 47.718.8–94.6 | 37.521.3–63.4 |
| 2094 | 51.225.3–87.3 | 41.325.4–65.9 |
| 2095 | 57.624.4–95.1 | 43.522.9–70.2 |
| 2096 | 50.820–91.8 | 41.224.1–66.8 |
| 2097 | 48.923.7–96 | 37.723.7–60.9 |
| 2098 | 52.926.4–94.7 | 46.425.1–71.4 |
| 2099 | 48.722.9–82 | 42.525.1–64.8 |
| 2100 | 56.822.9–95.8 | 4022.2–64.5 |
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
Bangladesh vs South Africa
Health
- Life expectancyBangladesh: 74.7 years in 2023South Africa: 66.1 years in 2023
- Child mortalityBangladesh: 3.1 per 100 live births in 2024South Africa: 3.5 per 100 live births in 2024
- Infant mortalityBangladesh: 22.8 per 1,000 live births in 2023South Africa: 27.9 per 1,000 live births in 2023
- DepressionBangladesh: 4.11% in 2017South Africa: 3.75% in 2017
- Suicide rateBangladesh: 6 per 100,000 people in 2017South Africa: 11.2 per 100,000 people in 2017
People
- PopulationBangladesh: 172 million people in 2023South Africa: 63.2 million people in 2023
- Population growthBangladesh: 1.21% a year in 2023South Africa: 1.32% a year in 2023
- Fertility rateBangladesh: 2.16 births per woman in 2023South Africa: 2.22 births per woman in 2023
- Urban populationBangladesh: 33.2% in 2025South Africa: 63.8% in 2025
- Median ageBangladesh: 25.3 years in 2023South Africa: 28.2 years in 2023
- People aged 65 and overBangladesh: 6.3% in 2023South Africa: 6.5% in 2023
- Net migration rateBangladesh: -3.2 per 1,000 people in 2023South Africa: 3.6 per 1,000 people in 2023
Economy
Education
Politics
Conflict
Military
- Military spendingBangladesh: 0.81% of GDP in 2025South Africa: 0.74% of GDP in 2025
- Military spending in US dollarsBangladesh: $3.67B in 2025South Africa: $3B in 2025
- Military spending per personBangladesh: $22 in 2025South Africa: $49 in 2025
- Military share of state spendingBangladesh: 7.1% of government spending in 2025South Africa: 2.2% of government spending in 2025
- Armed forces personnelBangladesh: 227,000 people in 2020South Africa: 89,000 people in 2020
- National powerBangladesh: 1.01% of world capability in 2022South Africa: 0.55% of world capability in 2022
- Armed forces, share of workersBangladesh: 0.32% of the labour force in 2020South Africa: 0.4% of the labour force in 2020
- Arms importsBangladesh: 32 million TIV in 2025South Africa: 30 million TIV in 2025
- Arms exportsBangladesh: 2 million TIV in 1984South Africa: 115 million TIV in 2025