Bangladesh vs Russia

Bangladesh vs Russia: Temperature

Temperature in 2025: 25.9 °C in Bangladesh and -2.3 °C in Russia, by ERA5 observations. In 2025 the value was higher in Bangladesh, by 28.1 °C.

°C · ERA5

Bangladesh vs Russia: TemperatureTemperature in 2025: 25.9 °C in Bangladesh and -2.3 °C in Russia, by ERA5 observations. In 2025 the value was higher in Bangladesh, by 28.1 °C.
BangladeshRussiaCMIP6 historical run, model medianCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Bangladesh has been higher in every year both have figures for since 1950.
  • In 2025, Bangladesh ranked 79 and Russia ranked 231 of 233 countries, counting from the highest.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Bangladesh at 27.7 °C and Russia at 0.1 °C in 2100.

Every year

°C · ERA5

YearBangladeshBangladesh: CMIP6 historical run, model medianRussiaRussia: CMIP6 historical run, model median
202525.925.9-2.3-2.7
20242626.1-2.2-2.8
202326.126.1-2.5-2.9
202225.825.9-2.5-2.7
202125.826-3.4-2.9
202025.425.8-1.2-2.9
201925.825.8-2.5-2.9
201825.325.7-3.1-3
201725.625.8-2.5-3.2
201625.925.7-2.8-3.1
201525.425.7-2.6-3
201425.525.8-3.4-3
201325.325.8-3.2-3
201225.325.9-3.4-3.3
201125.225.8-2.8-3.5
20102625.8-4-3.4
200925.925.6-4.1-3.4
200825.425.6-2.8-3.2
200725.325.6-2.4-3.4
200625.825.7-4.1-3.5
200525.625.7-2.9-3.4
200425.325.6-4-3.8
200325.225.6-3.3-3.5
200225.225.8-3.7-3.7
200125.225.8-4-3.7
20002525.7-4.2-3.8
199925.525.6-4.3-4
199825.325.5-4.8-4
199724.725.6-3.9-4.3
199625.325.5-4.4-4.1
199525.325.5-2.7-4.3
199425.225.4-4.4-4.6
199324.825.2-4.1-4.6
19922525.1-4.4-4.7
19912525.6-3.7-4.3
199024.925.6-3.5-4.2
19892525.5-3.5-4.2
198825.325.5-3.8-4.3
198725.425.6-5.8-4.7
198625.125.6-4.3-4.5
198525.225.5-5-4.4
198424.825.5-4.8-5.1
198324.825.3-3.4-5.1
19822525.4-4.6-4.7
198124.725.5-3.6-4.9
198025.125.5-4.9-4.8
197925.725.5-5.3-4.7
197824.725.3-4.8-4.6
197724.825.4-5-4.7
197625.125.3-5.4-5.1
197524.925.3-3.6-4.9
197424.625.4-5.1-4.8
197325.125.4-4.3-5.1
197225.225.4-5.2-5
197124.425.4-4.4-5.1
19702525.4-5-5.1
19692525.3-6.2-5.1
196824.725.3-5.1-4.8
196724.725.3-3.8-5
19662525.5-5.7-5.1
196524.725.3-5.3-5.3
196425.225.3-5.2-4.9
19632525.4-4.5-5
196224.925.5-3.9-5
196124.925.6-4.4-4.8
196025.425.5-5.4-4.9
195924.825.6-4.2-4.8
195825.625.5-5.5-4.9
195725.625.4-4.6-5.1
19562525.5-5.2-4.8
195525.225.4-5-4.7
195425.125.6-4.7-4.8
195324.125.5-4.1-4.9
195224.425.5-5.6-4.9
195124.525.6-4.4-5
195024.525.6-4.9-4.8
  • 12.3Projected
CMIP6 model median (SSP2-4.5, middle of the road) · 2026–2100
YearBangladeshBangladesh: CMIP6 historical run, model medianRussiaRussia: CMIP6 historical run, model median
2026–2625.4–26.6–-2.5-4–-0.8
2027–26.125.5–26.6–-2.4-4–-0.7
2028–2625.5–26.5–-2.5-4–-0.8
2029–26.125.5–26.7–-2.3-3.7–-0.8
2030–2625.4–26.5–-2.3-3.6–-0.8
2031–26.125.6–26.6–-2.3-3.7–-1
2032–26.125.6–26.6–-2.2-3.9–-0.7
2033–26.125.4–26.6–-2.2-3.5–-0.6
2034–26.125.6–26.6–-2.1-3.6–-0.8
2035–26.125.5–26.9–-2.2-3.7–-0.7
2036–26.225.4–26.9–-2-3.7–-0.3
2037–26.225.6–27–-1.9-3.4–-0.5
2038–26.425.7–26.8–-2.1-3.6–-0.3
2039–26.425.7–27.1–-1.9-3.3–-0.4
2040–26.425.5–27.1–-1.9-3.3–0.1
2041–26.325.8–27.1–-1.9-3.6–-0.3
2042–26.425.9–27.3–-1.9-3.6–-0.3
2043–26.425.7–27.2–-1.5-3.3–0.1
2044–26.525.9–27.1–-1.8-3.6–0.2
2045–26.525.9–27–-1.8-3.3–0.2
2046–26.625.7–27.4–-1.7-3.2–0.3
2047–26.725.8–27.3–-1.3-3.2–0.3
2048–26.725.7–27.6–-1.4-3–0.3
2049–26.726.1–27.6–-1.2-2.7–0.9
2050–26.726.1–27.4–-1.3-2.9–0.6
2051–26.926.1–27.5–-1.4-3.1–0.6
2052–26.726.1–27.6–-1.4-2.9–0.4
2053–26.826.1–27.7–-1.1-2.7–0.8
2054–26.926.1–27.6–-1.3-3–0.7
2055–26.826.2–27.9–-1.4-3–0.9
2056–2726.2–27.9–-1.2-2.8–0.7
2057–2726.2–27.9–-1.1-3.4–1.1
2058–2726.3–28.1–-1.1-2.7–1.2
2059–2726.4–28–-1-2.8–1.3
2060–27.126.5–27.8–-1-2.4–0.9
2061–27.126.5–27.8–-1.1-2.7–1.1
2062–27.126.3–28.1–-0.9-2.7–1.3
2063–27.126.4–28–-0.7-2.7–1.4
2064–2726.5–27.9–-0.8-2.5–1
2065–2726.4–27.8–-0.8-2.8–1.3
2066–27.126.5–28–-0.6-2.3–1.2
2067–2726.3–28–-0.7-2.3–1.5
2068–27.226.4–28.2–-0.9-2.8–1.1
2069–27.426.6–28.1–-0.6-2.4–1.7
2070–2726.5–27.9–-0.5-2.3–1.6
2071–27.226.5–28.3–-0.6-2.6–1.7
2072–27.226.4–28.1–-0.6-2.3–1.6
2073–27.326.6–28.3–-0.7-2.5–1.7
2074–27.326.5–28.2–-0.4-2–1.4
2075–27.326.7–28–-0.6-2.6–1.6
2076–27.226.6–28.2–-0.4-2.4–1.5
2077–27.326.7–28.4–-0.4-1.7–1.3
2078–27.426.6–28.4–-0.5-2.4–1.7
2079–27.326.7–28.2–-0.4-2.1–2
2080–27.526.8–28.4–-0.3-2.3–1.5
2081–27.527–28.4–-0.4-2.1–1.6
2082–27.526.6–28.5–-0.2-2.1–2.1
2083–27.526.7–28.5–-0.2-2.1–1.8
2084–27.626.7–28.7–-0.2-2.1–1.8
2085–27.526.9–28.8–-0.2-2.1–1.9
2086–27.626.8–28.9–-0-2–2.2
2087–27.526.8–28.4–0.1-1.9–2.2
2088–27.526.7–28.9–-0.1-2.1–2
2089–27.526.9–28.9–-0.1-2–2.1
2090–27.627–28.7–-0.2-2.3–2.1
2091–27.527.1–28.7–0.2-1.8–2
2092–27.626.9–28.7–0.2-1.9–2.4
2093–27.526.9–28.8–0.3-1.8–2.5
2094–27.626.9–28.7–0.1-1.9–2.8
2095–27.827–28.9–0.2-1.6–2.2
2096–27.626.8–28.8–0.2-2–2.3
2097–27.626.9–28.7–0.2-1.6–2.6
2098–27.726.9–28.6–0-1.9–2.3
2099–27.626.9–28.4–0.1-2.1–2.6
2100–27.727.1–28.9–0.1-1.7–2.3

Each country on its own

Good to know

  • The average air temperature near the ground, over the whole country and the whole year.
  • Source: ERA5 reanalysis (Copernicus, ECMWF) and CMIP6, via the World Bank Climate Change Knowledge Portal.
  • 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.
  • Ranks count the 233 countries with a value in 2025, highest first.

How the layers work, where their data comes from and what they can’t tell you: Countries through time

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