Bangladesh vs Sri Lanka
Bangladesh vs Sri Lanka: Days above 35 °C
Days above 35 °C in 2014: 19.4 days in Bangladesh and 17.9 days in Sri Lanka, in the CMIP6 climate models’ median run. In 2014 the value was higher in Bangladesh, by 1.5 days, or 1.08 times that in Sri Lanka.
days a year · CMIP6
What the numbers say
- Bangladesh has been higher since 2014, when it overtook Sri Lanka.
- The CMIP6 model median (SSP2-4.5, middle of the road) puts Bangladesh at 56.8 days and Sri Lanka at 63.4 days in 2100.
Every year
days a year · CMIP6
| Year | Bangladesh | Sri Lanka |
|---|---|---|
| 2014 | 19.4 | 17.9 |
| 2013 | 14.1 | 18.7 |
| 2012 | 17 | 19.2 |
| 2011 | 13.4 | 19.4 |
| 2010 | 16.9 | 19.4 |
| 2009 | 14.4 | 16.7 |
| 2008 | 14 | 17 |
| 2007 | 14.3 | 19 |
| 2006 | 17.8 | 15.4 |
| 2005 | 16.1 | 18 |
| 2004 | 14.7 | 17.4 |
| 2003 | 15.9 | 18.5 |
| 2002 | 17.7 | 15.3 |
| 2001 | 16.9 | 17 |
| 2000 | 16.6 | 14.4 |
| 1999 | 15.6 | 13.9 |
| 1998 | 15.4 | 15.2 |
| 1997 | 16.8 | 15 |
| 1996 | 14.2 | 12.3 |
| 1995 | 13.2 | 11.5 |
| 1994 | 15.2 | 11.2 |
| 1993 | 12.4 | 10.7 |
| 1992 | 8 | 7.3 |
| 1991 | 18.8 | 14.6 |
| 1990 | 18.5 | 13.9 |
| 1989 | 13.7 | 14.4 |
| 1988 | 13.5 | 11.5 |
| 1987 | 17.9 | 10.3 |
| 1986 | 17.9 | 14.4 |
| 1985 | 14.4 | 9 |
| 1984 | 19 | 12.6 |
| 1983 | 14.6 | 11 |
| 1982 | 16.3 | 12.1 |
| 1981 | 15.4 | 11.8 |
| 1980 | 14.5 | 11.8 |
| 1979 | 16.7 | 11.9 |
| 1978 | 15 | 10.5 |
| 1977 | 14.1 | 12.6 |
| 1976 | 17.5 | 9.4 |
| 1975 | 14.4 | 9.4 |
| 1974 | 17.3 | 10.8 |
| 1973 | 17 | 12.7 |
| 1972 | 15.7 | 10.5 |
| 1971 | 16.9 | 10.3 |
| 1970 | 16.5 | 9.7 |
| 1969 | 15.5 | 10.6 |
| 1968 | 16.2 | 8.8 |
| 1967 | 13.5 | 8.1 |
| 1966 | 15.6 | 10.9 |
| 1965 | 15.4 | 9 |
| 1964 | 14.7 | 8.2 |
| 1963 | 16.1 | 7.5 |
| 1962 | 19.1 | 11.1 |
| 1961 | 18 | 13 |
| 1960 | 19.2 | 12.2 |
| 1959 | 18 | 11.9 |
| 1958 | 17.5 | 11.3 |
| 1957 | 18.1 | 9.3 |
| 1956 | 19.2 | 10.7 |
| 1955 | 16.9 | 11.8 |
| 1954 | 19.4 | 11.1 |
| 1953 | 21 | 10.8 |
| 1952 | 17.2 | 11.7 |
| 1951 | 19.9 | 12.1 |
| 1950 | 22.3 | 11.7 |
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
| Year | Bangladesh | Sri Lanka |
|---|---|---|
| 2015 | 17.85.5–30.2 | 19.410–31.3 |
| 2016 | 17.53.9–31.5 | 19.510.9–33.8 |
| 2017 | 14.14.8–29 | 22.610.7–32.7 |
| 2018 | 13.92–31 | 21.59.4–33.7 |
| 2019 | 14.93.9–28 | 19.39.7–33.7 |
| 2020 | 14.94.1–36.3 | 22.111.9–36 |
| 2021 | 17.25.6–33 | 25.214.3–38.4 |
| 2022 | 17.21.4–36.6 | 28.416.3–39.6 |
| 2023 | 18.16.6–32.2 | 24.614.8–38.6 |
| 2024 | 21.24.9–36.6 | 25.712.7–38.4 |
| 2025 | 16.73.9–36.8 | 22.812.9–37.4 |
| 2026 | 18.36.7–34 | 26.413.2–41.9 |
| 2027 | 18.33.5–38.2 | 25.415.8–38.8 |
| 2028 | 18.64.2–33.2 | 25.713.8–38.8 |
| 2029 | 18.22.2–34.9 | 29.916–43.6 |
| 2030 | 174.6–31.3 | 28.316–42.1 |
| 2031 | 153.9–32.1 | 29.317.2–41.8 |
| 2032 | 19.33.2–34.3 | 30.917.4–50.2 |
| 2033 | 17.53.9–32 | 29.916.2–41.1 |
| 2034 | 16.24–29.3 | 30.117–47.7 |
| 2035 | 16.26.6–31.6 | 29.318.7–46.6 |
| 2036 | 17.76.3–36.6 | 31.619.1–43 |
| 2037 | 20.65.7–39.1 | 3421.1–51.1 |
| 2038 | 21.96.6–38.5 | 35.220.6–50.1 |
| 2039 | 21.45.1–43.2 | 3423.6–47 |
| 2040 | 22.86–48.8 | 36.720.4–53.8 |
| 2041 | 19.44.7–44.5 | 3824–54.5 |
| 2042 | 22.86.3–50.6 | 38.122.3–54.2 |
| 2043 | 25.17.2–47 | 37.117.4–50.3 |
| 2044 | 24.77.9–45 | 36.222.2–53.8 |
| 2045 | 24.110–42.5 | 3723.4–56.9 |
| 2046 | 28.57.8–55.7 | 40.823.6–55.8 |
| 2047 | 26.47.4–50.6 | 41.426.1–55.9 |
| 2048 | 30.28–52.9 | 41.627.9–61.4 |
| 2049 | 29.511.3–54.1 | 41.926.7–63.7 |
| 2050 | 26.810.4–47.8 | 39.722.4–58.2 |
| 2051 | 32.713.4–54.3 | 42.326.6–62.8 |
| 2052 | 29.313–59.8 | 41.826.9–64.7 |
| 2053 | 26.79.4–54.9 | 43.226.2–61.1 |
| 2054 | 29.910.9–57.7 | 44.728.3–67.6 |
| 2055 | 34.613.5–60.8 | 45.728.8–62.9 |
| 2056 | 34.215.2–59 | 45.127.9–63.6 |
| 2057 | 3912.3–72.8 | 48.428.1–67.4 |
| 2058 | 38.917–69.9 | 45.229.2–73.8 |
| 2059 | 35.914.6–66 | 49.430.6–68.6 |
| 2060 | 36.818.6–65.3 | 52.831.5–72.2 |
| 2061 | 38.919.6–65.9 | 47.830.4–70.4 |
| 2062 | 35.115.8–63.8 | 49.629.1–75.6 |
| 2063 | 42.114.5–66.9 | 51.331–73.1 |
| 2064 | 37.317–62.7 | 50.531.2–69 |
| 2065 | 35.618.5–60.2 | 5132.8–72.8 |
| 2066 | 35.812.3–64.7 | 50.831.9–74.1 |
| 2067 | 32.612.9–61.8 | 51.728.5–71.8 |
| 2068 | 40.717.5–76.4 | 5433.1–73.7 |
| 2069 | 43.915.7–73.3 | 50.134.4–78.2 |
| 2070 | 33.714.7–63 | 52.130.7–79.5 |
| 2071 | 42.817.7–73.9 | 56.332.1–83.4 |
| 2072 | 42.718.2–68.1 | 55.137.5–78.7 |
| 2073 | 44.423.8–82.3 | 61.738.6–84.4 |
| 2074 | 4214.1–71.6 | 53.735–80.7 |
| 2075 | 41.515.2–70.1 | 53.631.7–76 |
| 2076 | 39.914.1–81.2 | 59.435.8–81.7 |
| 2077 | 42.723.6–83.6 | 60.532.5–87.1 |
| 2078 | 44.424.7–79.2 | 56.740.2–81.5 |
| 2079 | 43.923.1–74.7 | 62.334.8–79.9 |
| 2080 | 52.224.5–83 | 61.235.7–88.2 |
| 2081 | 50.628.6–83 | 58.840.4–84.1 |
| 2082 | 49.322.9–92.1 | 5840.1–75.2 |
| 2083 | 49.218.9–88.7 | 60.239.4–87.6 |
| 2084 | 50.421.6–92.6 | 61.739.7–86.8 |
| 2085 | 49.920.5–104.5 | 62.741.6–90 |
| 2086 | 50.922.5–100.6 | 62.138.7–88.9 |
| 2087 | 53.125–82.1 | 61.236.6–84.7 |
| 2088 | 46.314.7–108.4 | 62.438.5–86.4 |
| 2089 | 52.722.8–107.6 | 57.938.6–87 |
| 2090 | 55.216.3–89.2 | 61.743–86.8 |
| 2091 | 51.331.2–98 | 63.239.1–90 |
| 2092 | 55.422.1–101.2 | 66.746.1–89.8 |
| 2093 | 47.718.8–94.6 | 61.640.5–97.4 |
| 2094 | 51.225.3–87.3 | 66.439.7–91 |
| 2095 | 57.624.4–95.1 | 68.443.4–90.6 |
| 2096 | 50.820–91.8 | 66.340.4–95.7 |
| 2097 | 48.923.7–96 | 65.837.2–89.6 |
| 2098 | 52.926.4–94.7 | 65.240.8–96.7 |
| 2099 | 48.722.9–82 | 61.938–90.8 |
| 2100 | 56.822.9–95.8 | 63.442.5–91 |
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 Sri Lanka
Health
- Life expectancyBangladesh: 74.7 years in 2023Sri Lanka: 77.5 years in 2023
- Child mortalityBangladesh: 3.1 per 100 live births in 2024Sri Lanka: 0.6 per 100 live births in 2024
- Infant mortalityBangladesh: 22.8 per 1,000 live births in 2023Sri Lanka: 5.1 per 1,000 live births in 2023
- Safe drinking waterBangladesh: 59.1% in 2022Sri Lanka: 47.1% in 2022
- DepressionBangladesh: 4.11% in 2017Sri Lanka: 3.44% in 2017
- Suicide rateBangladesh: 6 per 100,000 people in 2017Sri Lanka: 19.8 per 100,000 people in 2017
People
- PopulationBangladesh: 172 million people in 2023Sri Lanka: 23 million people in 2023
- Population growthBangladesh: 1.21% a year in 2023Sri Lanka: 0.58% a year in 2023
- Fertility rateBangladesh: 2.16 births per woman in 2023Sri Lanka: 1.97 births per woman in 2023
- Urban populationBangladesh: 33.2% in 2025Sri Lanka: 20.5% in 2025
- Median ageBangladesh: 25.3 years in 2023Sri Lanka: 32.8 years in 2023
- People aged 65 and overBangladesh: 6.3% in 2023Sri Lanka: 11.7% in 2023
- Net migration rateBangladesh: -3.2 per 1,000 people in 2023Sri Lanka: -1.2 per 1,000 people in 2023
Economy
Education
Politics
Conflict
Military
- Military spendingBangladesh: 0.81% of GDP in 2025Sri Lanka: 1.31% of GDP in 2025
- Military spending in US dollarsBangladesh: $3.67B in 2025Sri Lanka: $1.36B in 2025
- Military spending per personBangladesh: $22 in 2025Sri Lanka: $60 in 2025
- Military share of state spendingBangladesh: 7.1% of government spending in 2025Sri Lanka: 4.9% of government spending in 2025
- Armed forces personnelBangladesh: 227,000 people in 2020Sri Lanka: 317,000 people in 2020
- National powerBangladesh: 1.01% of world capability in 2022Sri Lanka: 0.31% of world capability in 2022
- Armed forces, share of workersBangladesh: 0.32% of the labour force in 2020Sri Lanka: 3.74% of the labour force in 2020
- Arms importsBangladesh: 32 million TIV in 2025Sri Lanka: 11 million TIV in 2025
- Arms exportsBangladesh: 2 million TIV in 1984Sri Lanka: 8 million TIV in 1998