Brazil vs Singapore

Brazil vs Singapore: Temperature

Temperature in 2025: 25.2 °C in Brazil and 27.4 °C in Singapore, by ERA5 observations. In 2025 the value was higher in Singapore, by 2.2 °C, or 1.09 times that in Brazil.

Watch it change on the map

°C · ERA5

Brazil vs Singapore: TemperatureTemperature in 2025: 25.2 °C in Brazil and 27.4 °C in Singapore, by ERA5 observations. In 2025 the value was higher in Singapore, by 2.2 °C, or 1.09 times that in Brazil.
BrazilSingaporeCMIP6 historical run, model medianCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Singapore has been higher in every year both have figures for since 1950.
  • In 2025, Brazil ranked 93 and Singapore ranked 28 of 233 countries, counting from the highest.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Brazil at 27.9 °C and Singapore at 28.9 °C in 2100.

Every year

°C · ERA5

YearBrazilBrazil: CMIP6 historical run, model medianSingaporeSingapore: CMIP6 historical run, model median
202525.226.227.427.5
202425.826.227.727.5
202325.626.127.427.5
202224.826.227.327.5
20212526.127.227.5
202025.22627.427.4
201925.525.927.527.4
201825.125.927.227.4
201725.425.927.327.4
201625.625.827.727.3
201525.725.927.227.3
201425.225.827.227.2
201325.125.927.227.2
201225.225.92727.2
201124.925.826.927.2
201025.325.727.327.2
20092525.727.127.1
200824.825.626.727.1
200725.125.526.927.1
200624.925.52727
200525.225.527.227.1
200424.925.72727.1
20032525.627.127
200225.225.52727
200124.825.726.927.1
200024.525.426.827
199924.625.426.826.9
199825.425.427.527
199724.925.426.926.9
199624.625.226.726.8
199524.825.226.826.8
199424.725.126.726.7
199324.72526.726.7
199224.524.726.726.6
199124.625.326.826.8
199024.725.426.927
198924.225.226.626.9
198824.625.226.826.9
19872525.126.926.8
198624.325.226.526.8
198524.224.926.626.8
198424.42526.326.8
198324.824.82726.7
198224.525.126.726.8
198124.425.226.726.9
198024.52526.826.7
197924.225.126.826.8
197824.22526.726.7
197724.425.126.526.8
19762424.926.426.7
19752424.726.526.7
197423.824.926.426.7
197324.52526.826.8
197224.524.926.626.7
19712424.926.326.7
197024.524.826.626.7
196924.824.926.626.7
196823.924.826.426.6
196724.324.726.226.6
196624.224.826.426.7
196524.224.726.326.6
19642424.726.426.6
196324.924.626.426.6
196224.224.926.526.7
19612524.926.626.8
196024.32526.626.7
195924.624.926.626.7
1958252526.726.8
195724.62526.426.7
195623.724.826.226.7
195524.32526.326.7
195424.42526.226.7
195324.524.926.426.7
195224.324.926.526.7
195124.424.926.526.8
195024.324.926.426.8
  • 12.3Projected
CMIP6 model median (SSP2-4.5, middle of the road) · 2026–2100
YearBrazilBrazil: CMIP6 historical run, model medianSingaporeSingapore: CMIP6 historical run, model median
2026–26.125.3–27–27.727.1–28
2027–26.225.4–27–27.527.3–28.1
2028–26.325.5–27.1–27.627.3–28
2029–26.525.8–27.3–27.727.4–28.2
2030–26.225.4–27–27.727.3–28.1
2031–26.525.6–27.3–27.727.2–28.1
2032–26.525.8–27.4–27.827.4–28.2
2033–26.425.6–27.2–27.727.5–28.1
2034–26.325.7–27.5–27.727.4–28.1
2035–26.425.7–27.4–27.827.5–28.3
2036–26.425.8–27.1–27.927.3–28.3
2037–26.726–27.3–27.927.4–28.2
2038–26.725.9–27.4–27.927.6–28.3
2039–26.625.9–27.5–27.827.6–28.4
2040–26.625.9–27.6–27.827.5–28.4
2041–26.826–27.5–2827.6–28.4
2042–26.625.8–27.9–27.927.5–28.4
2043–26.625.8–27.6–27.927.5–28.6
2044–26.625.9–27.7–27.927.5–28.5
2045–26.726–27.6–2827.7–28.5
2046–2726.2–27.8–28.227.6–28.6
2047–26.926.1–27.8–28.127.6–28.7
2048–2726.2–28–28.127.7–28.7
2049–2726.2–27.8–28.227.9–28.6
2050–26.926.1–28–28.227.6–28.7
2051–2726.2–28–28.227.8–28.8
2052–27.126.4–28–28.227.7–28.8
2053–2726.2–28–28.227.7–28.8
2054–2726.2–28.1–28.227.7–28.6
2055–27.126.4–28.3–28.327.8–28.8
2056–27.126.2–28.4–28.327.7–28.9
2057–27.226.1–28.1–28.327.8–28.8
2058–27.226.3–28.5–28.327.9–29.1
2059–27.326.4–28.5–28.327.8–29.1
2060–27.426.5–28.4–28.627.9–29
2061–27.226.3–28.5–28.327.9–29.2
2062–27.226.3–28.7–28.527.9–29.1
2063–27.426.3–28.5–28.327.9–29.1
2064–27.226.3–28.3–28.527.8–29.1
2065–27.426.5–28.6–28.527.8–29.1
2066–27.426.5–28.5–28.428–29
2067–27.426.3–28.5–28.427.8–29
2068–27.526.4–28.6–28.627.9–29
2069–27.326.5–28.6–28.528–29.2
2070–27.426.4–28.7–28.528–29.2
2071–27.526.6–28.5–28.627.9–29.2
2072–27.626.6–28.8–28.527.9–29.3
2073–27.726.7–28.8–28.728–29.3
2074–27.526.5–28.8–28.628.1–29.4
2075–27.626.5–28.6–28.527.9–29.4
2076–27.626.6–28.8–28.528–29.3
2077–27.826.6–28.9–28.728–29.3
2078–27.626.8–28.9–28.628.2–29.4
2079–27.626.5–28.9–28.728–29.3
2080–27.526.6–28.8–28.728.1–29.4
2081–27.626.7–28.9–28.728.2–29.3
2082–27.726.8–28.8–28.728.1–29.2
2083–27.726.7–29.3–28.628.2–29.3
2084–27.826.7–29–28.728.1–29.4
2085–2826.8–29.2–28.828.2–29.5
2086–27.726.6–29.1–28.828.1–29.5
2087–27.826.8–29.1–28.828.2–29.6
2088–27.826.7–29.3–28.828.2–29.5
2089–27.726.8–29.2–28.828.1–29.6
2090–27.826.9–29.3–28.828.1–29.5
2091–27.926.7–29.2–2928.1–29.6
2092–27.926.8–29.2–28.828.2–29.5
2093–27.826.8–29.3–28.828.2–29.6
2094–27.826.9–29.1–2928.2–29.6
2095–28.126.8–29.2–2928.2–29.8
2096–27.726.8–29.3–28.828.2–29.6
2097–27.926.8–29.1–28.928.2–29.6
2098–2826.9–29.7–28.928.2–29.7
2099–27.826.9–29.2–28.928.2–29.7
2100–27.926.9–29.2–28.928.2–29.6

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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