Bangladesh vs Kenya
Bangladesh vs Kenya: Days above 35 °C
Days above 35 °C in 2014: 19.4 days in Bangladesh and 48.1 days in Kenya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 28.7 days, or 2.48 times that in Bangladesh.
days a year · CMIP6
What the numbers say
- Kenya has been higher in every year both have figures for since 1950.
- The CMIP6 model median (SSP2-4.5, middle of the road) puts Bangladesh at 56.8 days and Kenya at 103.7 days in 2100.
Every year
days a year · CMIP6
| Year | Bangladesh | Kenya |
|---|---|---|
| 2014 | 19.4 | 48.1 |
| 2013 | 14.1 | 46.4 |
| 2012 | 17 | 45.5 |
| 2011 | 13.4 | 46.4 |
| 2010 | 16.9 | 45.5 |
| 2009 | 14.4 | 40.9 |
| 2008 | 14 | 40.8 |
| 2007 | 14.3 | 39.2 |
| 2006 | 17.8 | 42 |
| 2005 | 16.1 | 42.9 |
| 2004 | 14.7 | 41.8 |
| 2003 | 15.9 | 41 |
| 2002 | 17.7 | 42.7 |
| 2001 | 16.9 | 43.4 |
| 2000 | 16.6 | 39.6 |
| 1999 | 15.6 | 40.9 |
| 1998 | 15.4 | 39.7 |
| 1997 | 16.8 | 38.8 |
| 1996 | 14.2 | 35.3 |
| 1995 | 13.2 | 34.3 |
| 1994 | 15.2 | 32.9 |
| 1993 | 12.4 | 28.5 |
| 1992 | 8 | 28.2 |
| 1991 | 18.8 | 35.1 |
| 1990 | 18.5 | 34.1 |
| 1989 | 13.7 | 34.5 |
| 1988 | 13.5 | 33.9 |
| 1987 | 17.9 | 35.9 |
| 1986 | 17.9 | 35.5 |
| 1985 | 14.4 | 31.2 |
| 1984 | 19 | 31 |
| 1983 | 14.6 | 30.2 |
| 1982 | 16.3 | 33.9 |
| 1981 | 15.4 | 34.6 |
| 1980 | 14.5 | 36.4 |
| 1979 | 16.7 | 34.4 |
| 1978 | 15 | 31.8 |
| 1977 | 14.1 | 30.5 |
| 1976 | 17.5 | 28.6 |
| 1975 | 14.4 | 29.7 |
| 1974 | 17.3 | 30.4 |
| 1973 | 17 | 29.1 |
| 1972 | 15.7 | 28.4 |
| 1971 | 16.9 | 28.1 |
| 1970 | 16.5 | 27 |
| 1969 | 15.5 | 29 |
| 1968 | 16.2 | 25.7 |
| 1967 | 13.5 | 26.9 |
| 1966 | 15.6 | 25.8 |
| 1965 | 15.4 | 24.4 |
| 1964 | 14.7 | 20.8 |
| 1963 | 16.1 | 25.7 |
| 1962 | 19.1 | 28.8 |
| 1961 | 18 | 30.9 |
| 1960 | 19.2 | 29.5 |
| 1959 | 18 | 30.4 |
| 1958 | 17.5 | 28 |
| 1957 | 18.1 | 30.7 |
| 1956 | 19.2 | 28.9 |
| 1955 | 16.9 | 30.2 |
| 1954 | 19.4 | 30 |
| 1953 | 21 | 31 |
| 1952 | 17.2 | 29.8 |
| 1951 | 19.9 | 30.1 |
| 1950 | 22.3 | 30.8 |
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
| Year | Bangladesh | Kenya |
|---|---|---|
| 2015 | 17.85.5–30.2 | 50.131.1–66.1 |
| 2016 | 17.53.9–31.5 | 49.230.5–67.3 |
| 2017 | 14.14.8–29 | 50.228.4–68.7 |
| 2018 | 13.92–31 | 5033.4–67.3 |
| 2019 | 14.93.9–28 | 49.431.2–67.4 |
| 2020 | 14.94.1–36.3 | 53.533.4–75.7 |
| 2021 | 17.25.6–33 | 52.434.3–69.5 |
| 2022 | 17.21.4–36.6 | 51.825–70.5 |
| 2023 | 18.16.6–32.2 | 55.535.3–80 |
| 2024 | 21.24.9–36.6 | 60.738.5–78.7 |
| 2025 | 16.73.9–36.8 | 55.236.8–74.4 |
| 2026 | 18.36.7–34 | 55.435.2–86.2 |
| 2027 | 18.33.5–38.2 | 5634.2–77.5 |
| 2028 | 18.64.2–33.2 | 56.731.5–80.6 |
| 2029 | 18.22.2–34.9 | 59.535.1–79.7 |
| 2030 | 174.6–31.3 | 57.940.5–79.9 |
| 2031 | 153.9–32.1 | 64.244.3–83.9 |
| 2032 | 19.33.2–34.3 | 58.839.6–81.3 |
| 2033 | 17.53.9–32 | 63.639.2–87.1 |
| 2034 | 16.24–29.3 | 62.339.2–84.6 |
| 2035 | 16.26.6–31.6 | 61.636.8–84.1 |
| 2036 | 17.76.3–36.6 | 59.840.3–84.7 |
| 2037 | 20.65.7–39.1 | 63.740.4–91.7 |
| 2038 | 21.96.6–38.5 | 63.235.1–89.5 |
| 2039 | 21.45.1–43.2 | 65.540.6–88.4 |
| 2040 | 22.86–48.8 | 64.144.3–84.7 |
| 2041 | 19.44.7–44.5 | 69.847.4–98.8 |
| 2042 | 22.86.3–50.6 | 71.147–95.3 |
| 2043 | 25.17.2–47 | 66.640.7–91.1 |
| 2044 | 24.77.9–45 | 69.243–91.5 |
| 2045 | 24.110–42.5 | 7049.2–100.3 |
| 2046 | 28.57.8–55.7 | 76.643.2–107.2 |
| 2047 | 26.47.4–50.6 | 74.249.2–103.8 |
| 2048 | 30.28–52.9 | 72.847.4–102.8 |
| 2049 | 29.511.3–54.1 | 78.548.6–107.8 |
| 2050 | 26.810.4–47.8 | 7250–107.2 |
| 2051 | 32.713.4–54.3 | 79.352.5–111 |
| 2052 | 29.313–59.8 | 79.550.7–104.4 |
| 2053 | 26.79.4–54.9 | 72.944.3–104.5 |
| 2054 | 29.910.9–57.7 | 73.142.1–99.6 |
| 2055 | 34.613.5–60.8 | 80.450.6–105.6 |
| 2056 | 34.215.2–59 | 76.247–111.2 |
| 2057 | 3912.3–72.8 | 81.352.9–109.1 |
| 2058 | 38.917–69.9 | 78.950–112.4 |
| 2059 | 35.914.6–66 | 83.351.3–115.7 |
| 2060 | 36.818.6–65.3 | 85.749.3–116.5 |
| 2061 | 38.919.6–65.9 | 85.354.7–115.1 |
| 2062 | 35.115.8–63.8 | 85.355.1–116.5 |
| 2063 | 42.114.5–66.9 | 84.254.2–110.1 |
| 2064 | 37.317–62.7 | 87.448.2–113.7 |
| 2065 | 35.618.5–60.2 | 86.855.1–123.7 |
| 2066 | 35.812.3–64.7 | 83.857–115 |
| 2067 | 32.612.9–61.8 | 8955.6–119.5 |
| 2068 | 40.717.5–76.4 | 87.751.4–117.1 |
| 2069 | 43.915.7–73.3 | 8653.8–118.3 |
| 2070 | 33.714.7–63 | 86.150.8–121 |
| 2071 | 42.817.7–73.9 | 91.757.9–123.6 |
| 2072 | 42.718.2–68.1 | 91.461.3–123.1 |
| 2073 | 44.423.8–82.3 | 91.458.5–127.3 |
| 2074 | 4214.1–71.6 | 87.855.2–124.3 |
| 2075 | 41.515.2–70.1 | 89.853.7–127.4 |
| 2076 | 39.914.1–81.2 | 97.664.7–134.6 |
| 2077 | 42.723.6–83.6 | 97.755.7–131.4 |
| 2078 | 44.424.7–79.2 | 90.260.9–124.7 |
| 2079 | 43.923.1–74.7 | 9463.2–125.8 |
| 2080 | 52.224.5–83 | 96.157.8–132.4 |
| 2081 | 50.628.6–83 | 99.766.8–136.7 |
| 2082 | 49.322.9–92.1 | 99.458.5–131.7 |
| 2083 | 49.218.9–88.7 | 100.263.9–137.5 |
| 2084 | 50.421.6–92.6 | 9967.9–133.8 |
| 2085 | 49.920.5–104.5 | 99.259.2–137.4 |
| 2086 | 50.922.5–100.6 | 104.457.4–142.5 |
| 2087 | 53.125–82.1 | 99.762.4–134.4 |
| 2088 | 46.314.7–108.4 | 98.761–135.2 |
| 2089 | 52.722.8–107.6 | 97.966–126.9 |
| 2090 | 55.216.3–89.2 | 101.468.5–136 |
| 2091 | 51.331.2–98 | 104.465.5–141.4 |
| 2092 | 55.422.1–101.2 | 99.759.8–137.8 |
| 2093 | 47.718.8–94.6 | 105.971.9–140.7 |
| 2094 | 51.225.3–87.3 | 107.369.1–137.3 |
| 2095 | 57.624.4–95.1 | 106.367.5–142.4 |
| 2096 | 50.820–91.8 | 105.461.5–142.2 |
| 2097 | 48.923.7–96 | 105.161.4–139.2 |
| 2098 | 52.926.4–94.7 | 104.861.9–140.8 |
| 2099 | 48.722.9–82 | 103.362.5–145.4 |
| 2100 | 56.822.9–95.8 | 103.757.3–139.4 |
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 Kenya
Health
- Life expectancyBangladesh: 74.7 years in 2023Kenya: 63.7 years in 2023
- Child mortalityBangladesh: 3.1 per 100 live births in 2024Kenya: 3.9 per 100 live births in 2024
- Infant mortalityBangladesh: 22.8 per 1,000 live births in 2023Kenya: 29.7 per 1,000 live births in 2023
- DepressionBangladesh: 4.11% in 2017Kenya: 3.51% in 2017
- Suicide rateBangladesh: 6 per 100,000 people in 2017Kenya: 11.1 per 100,000 people in 2017
People
- PopulationBangladesh: 172 million people in 2023Kenya: 55.3 million people in 2023
- Population growthBangladesh: 1.21% a year in 2023Kenya: 1.97% a year in 2023
- Fertility rateBangladesh: 2.16 births per woman in 2023Kenya: 3.21 births per woman in 2023
- Urban populationBangladesh: 33.2% in 2025Kenya: 32.2% in 2025
- Median ageBangladesh: 25.3 years in 2023Kenya: 19.5 years in 2023
- People aged 65 and overBangladesh: 6.3% in 2023Kenya: 2.9% in 2023
- Net migration rateBangladesh: -3.2 per 1,000 people in 2023Kenya: -0.2 per 1,000 people in 2023
Economy
Education
Politics
Conflict
Military
- Military spendingBangladesh: 0.81% of GDP in 2025Kenya: 1.07% of GDP in 2025
- Military spending in US dollarsBangladesh: $3.67B in 2025Kenya: $1.36B in 2025
- Military spending per personBangladesh: $22 in 2025Kenya: $26 in 2025
- Military share of state spendingBangladesh: 7.1% of government spending in 2025Kenya: 4.6% of government spending in 2025
- Armed forces personnelBangladesh: 227,000 people in 2020Kenya: 24,000 people in 2020
- National powerBangladesh: 1.01% of world capability in 2022Kenya: 0.23% of world capability in 2022
- Armed forces, share of workersBangladesh: 0.32% of the labour force in 2020Kenya: 0.11% of the labour force in 2020
- Arms importsBangladesh: 32 million TIV in 2025Kenya: 117 million TIV in 2025
- Arms exportsBangladesh: 2 million TIV in 1984Kenya: 2 million TIV in 1993