China vs Pakistan

China vs Pakistan: Temperature

Temperature in 2025: 8.3 °C in China and 21.6 °C in Pakistan, by ERA5 observations. In 2025 the value was higher in Pakistan, by 13.4 °C, or 2.62 times that in China.

°C · ERA5

China vs Pakistan: TemperatureTemperature in 2025: 8.3 °C in China and 21.6 °C in Pakistan, by ERA5 observations. In 2025 the value was higher in Pakistan, by 13.4 °C, or 2.62 times that in China.
ChinaPakistanCMIP6 historical run, model medianCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Pakistan has been higher in every year both have figures for since 1950.
  • In 2025, China ranked 212 and Pakistan ranked 135 of 233 countries, counting from the highest.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts China at 10 °C and Pakistan at 23.4 °C in 2100.

Every year

°C · ERA5

YearChinaChina: CMIP6 historical run, model medianPakistanPakistan: CMIP6 historical run, model median
20258.37.921.621.5
20248.47.921.321.5
202387.82121.4
20227.87.821.421.3
20217.87.721.321.2
20207.67.720.521.4
20197.67.720.621.1
20187.57.621.421.1
20177.87.721.321.2
20167.87.521.521
20157.77.520.621.2
20147.47.320.421
20137.47.520.720.9
20126.67.420.220.9
20116.97.420.820.9
20107.27.321.220.8
20097.47.220.920.8
20087.27.120.620.6
20077.77.120.820.7
20067.67.221.220.6
200577.320.120.7
20047.37.121.320.7
20037.17.120.620.6
20027.37.121.220.8
20017.27.22120.6
20006.8720.820.5
19997.46.920.820.7
19987.66.920.720.5
19976.96.919.520.4
19966.56.82020.3
19956.86.72020.3
19947.26.62020.2
19936.66.320.620
19926.46.219.620
19916.76.719.920.4
199076.820.620.3
19896.66.719.820.3
19886.76.621.120.1
19876.86.620.620.3
19866.36.519.820.2
19856.16.520.420.2
19846.16.32020.1
19836.36.119.619.9
19826.66.519.520.1
19816.46.520.420.2
19806.36.520.620.1
19796.56.419.920.1
19786.56.520.120.1
19776.26.420.620
19765.96.219.720
19756.66.419.520
19746.16.519.920.1
19736.56.420.120
19726.16.319.520
19716.26.320.419.9
197066.320.519.9
196966.320.419.9
19686.16.319.719.8
19675.86.419.620
19666.26.420.119.9
19656.26.220.219.9
19646.36.319.519.8
19636.56.520.519.8
19626.26.519.620.1
19616.56.619.520.1
19606.46.52020.1
19596.56.52020.2
19586.56.420.520
19575.76.619.220.3
19565.76.619.720
19556.26.62020.1
19546.16.520.120
195376.519.619.9
19526.36.42020
19516.56.520.120.1
19506.76.619.220.2
  • 12.3Projected
CMIP6 model median (SSP2-4.5, middle of the road) · 2026–2100
YearChinaChina: CMIP6 historical run, model medianPakistanPakistan: CMIP6 historical run, model median
2026–7.97.1–9–21.420.6–22.2
2027–87.2–8.9–21.420.6–22.2
2028–8.17.1–9.1–21.420.7–22.3
2029–8.17.3–9–21.520.6–22.4
2030–8.17.3–8.9–21.520.7–22.2
2031–8.17.2–9–21.520.8–22.2
2032–8.27.4–9–21.620.8–22.5
2033–8.37.4–9–21.520.9–22.6
2034–8.37.4–9.3–21.721–22.6
2035–8.37.4–9.3–21.721–22.5
2036–8.37.5–9.2–21.721.1–22.3
2037–8.47.5–9.4–21.921.1–22.7
2038–8.57.6–9.3–2221–22.6
2039–8.57.5–9.5–21.821.2–22.5
2040–8.57.6–9.5–21.921.2–22.7
2041–8.57.6–9.6–21.821.1–22.7
2042–8.57.5–9.6–2221.2–23.1
2043–8.57.6–9.7–21.821.1–22.9
2044–8.77.7–9.7–2221.2–22.8
2045–8.77.8–9.6–22.121.3–22.8
2046–8.87.8–9.7–22.321.3–23.2
2047–8.87.8–9.8–22.221.1–23.2
2048–8.97.9–9.9–22.321.5–23.1
2049–8.87.8–10–22.121.4–23.3
2050–97.8–10.1–22.521.6–23.5
2051–98.1–10–22.421.5–23.5
2052–8.87.9–9.8–22.421.6–23.2
2053–98–10–22.321.6–23.4
2054–98.1–10.1–22.421.5–23.5
2055–98.1–10.1–22.521.8–23.5
2056–9.28.2–10.3–22.321.6–23.5
2057–9.27.8–10.3–22.621.6–23.7
2058–9.18.2–10.2–22.421.7–23.5
2059–9.28.1–10.4–22.721.7–23.8
2060–9.28.1–10.4–22.621.8–23.7
2061–9.28.2–10.3–22.621.9–23.6
2062–9.38.3–10.6–22.721.7–24
2063–9.38.3–10.4–22.722–23.8
2064–9.28.3–10.3–22.721.7–24.1
2065–9.38.3–10.4–22.721.9–23.9
2066–9.38.3–10.4–22.822–24.2
2067–9.38.3–10.5–22.822.2–24
2068–9.68.4–10.7–22.921.9–24.1
2069–9.68.3–10.7–2321.9–23.9
2070–9.48.3–10.7–22.922.1–24
2071–9.58.3–10.9–22.822–24.1
2072–9.58.3–10.8–22.922–24.2
2073–9.78.5–10.8–23.221.9–24.1
2074–9.78.4–11–23.122.2–24.1
2075–9.68.5–10.9–2322.2–24.2
2076–9.68.5–10.8–22.922–24.1
2077–9.78.7–11–23.122–24.3
2078–9.68.6–11–2322.1–24.4
2079–9.78.5–11–2322–24.1
2080–9.78.6–10.9–2322–24.3
2081–9.68.6–11.1–23.122.2–24.3
2082–9.78.6–11–23.122.2–24.4
2083–9.98.9–11.1–23.322.5–24.4
2084–9.98.5–11.1–23.322.3–24.4
2085–9.88.6–11.3–23.322.3–24.8
2086–9.98.5–11.2–23.222.1–24.5
2087–9.88.7–11.3–23.322.2–24.6
2088–9.88.7–11.3–23.222.2–24.7
2089–9.98.6–11.4–23.422.5–24.5
2090–108.9–11.2–23.422.5–24.4
2091–10.19–11.2–23.522.4–24.5
2092–9.98.7–11.2–23.322.4–24.5
2093–9.98.9–11.2–23.522.6–24.4
2094–108.8–11.2–23.522.5–24.5
2095–108.7–11.3–23.522.3–24.6
2096–10.18.5–11.3–23.322.3–24.5
2097–108.7–11.3–23.322.3–24.4
2098–9.98.9–11.4–23.522.3–24.6
2099–108.7–11.3–23.522.1–24.9
2100–108.9–11.3–23.422.4–24.7

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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