India vs South Africa

India vs South Africa: Tropical nights

Tropical nights in 2014: 215.5 nights in India and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 188.4 nights, or 7.95 times that in South Africa.

nights a year · CMIP6

India vs South Africa: Tropical nightsTropical nights in 2014: 215.5 nights in India and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 188.4 nights, or 7.95 times that in South Africa.
IndiaSouth AfricaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • India has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts India at 250.4 nights and South Africa at 58.7 nights in 2100.

Every year

nights a year · CMIP6

YearIndiaSouth Africa
2014215.527.1
201321628.3
2012217.427.9
2011215.526.1
2010215.226
2009213.725.8
2008213.724.8
2007213.324.7
2006212.525.5
2005212.925.3
2004214.925.8
2003212.125.1
200221325
2001212.224.5
2000210.823.3
1999211.923
1998210.323.4
1997209.522.5
199620720.4
1995208.819.3
1994207.120
199320618.1
1992203.518.1
199120822.3
1990209.922.7
198920822
1988207.321.2
1987207.221.9
1986207.221
1985205.918.9
1984206.720
1983203.319
1982205.720.3
1981208.420
1980205.321.2
1979205.519.9
1978204.119.8
1977205.919.2
1976204.619.2
1975202.618.8
1974205.319.7
1973205.619.6
1972203.819
1971203.619.1
1970202.618.6
1969203.618.7
1968201.717.8
1967201.617.5
1966203.917.8
1965202.417.2
1964201.214.9
1963201.816.5
1962203.819.6
1961206.319.7
196020619.8
1959206.118.5
195820419.3
1957206.519.4
195620418
1955203.219.5
195420618.4
195320418.4
1952204.419.3
1951204.318.9
1950206.318.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIndiaSouth Africa
2015216.9202.1–228.428.620–39.5
2016215202.5–227.626.817.8–37.9
2017216.2202.1–228.528.919.6–37.8
2018218.3204.5–231.429.620.6–40.6
2019217.4202.3–230.429.820.8–41.5
2020217.6203.1–23229.518.9–39.1
2021219.7204.5–233.231.121.4–42.9
2022220.5205.8–2333223.7–43.1
2023220.4206.4–233.731.922.9–41.8
2024222.6208.1–236.33324–45.6
2025219.7202.7–236.231.920.7–44.5
2026220.2204.2–236.834.521.9–46.9
2027223.6207.1–23934.423–47.7
2028222.1205.1–235.733.522.9–46
2029225.4210–240.336.226.5–48.3
2030222.7207.3–235.636.124.9–49
2031223.8207.1–237.836.324.5–50.3
2032225.9210–240.536.424.5–49.2
2033223.8209.3–235.436.924.5–48.3
2034225.8210–242.737.626.4–51.8
2035224.9210.6–240.937.625.2–49.5
2036224.2210.4–240.33826.5–50.5
2037228.3213.6–242.639.928.2–53.4
2038228.1212.6–241.441.528.4–54.2
2039227.4211.9–242.839.227–52.9
2040227212.2–24238.125.6–55.6
2041227.1210.7–240.540.227.4–54.3
2042229.1214.8–244.24229–56.4
2043228.9214.5–24442.128.2–58.4
2044229.7214.7–244.241.929.5–57.8
2045231.2216.6–246.142.728.2–59
2046232.6216.2–248.644.130–59.5
2047232.4215.5–25044.630.7–61.2
2048235.6218.5–254.34531.9–61.5
2049235.3218.3–249.945.632.3–61.4
2050233.5216.6–253.446.931–63.6
2051234.9218.6–249.947.532–65
2052234219.4–249.348.332.7–64.3
2053234.9219.5–252.545.733.7–62.1
2054237.2219.4–253.14833.3–64.3
2055237.2220.7–256.646.833–68.4
2056238.8221.2–254.947.933.2–64.8
2057235.7218.5–253.850.232.6–68.9
2058238.8222.8–254.147.934–66.4
2059241.1224.9–256.251.333.1–66.9
2060240.9225.6–255.651.936–69.9
2061237.9220.6–253.750.534.8–71.3
2062239.9221.2–259.750.532.7–71
2063239.9222.3–256.150.434.3–69.7
2064240223.8–256.35134.1–67.7
2065240.9222.9–257.350.433.6–70.2
2066241.5224.1–258.65335.7–72.4
2067241.6224.8–257.950.634.8–70.4
2068242.3224.6–262.154.837.8–72.5
2069242.8225.4–259.154.339.1–73.4
2070240.1225.3–257.154.337.2–73.3
2071241.8223.7–260.255.837.9–76.9
2072242.6225.4–259.25639.4–78.6
2073243.8228–259.360.443.4–80.3
2074241.6226.9–258.457.439.1–75.3
2075243.5226.4–258.256.137.7–76
2076243.2224.6–259.958.538.4–75.3
2077243.7226.6–264.657.341–80.5
2078246.7230.1–261.55639.5–79
2079244.9226.4–261.357.639.3–78
2080246.7227–263.759.540.3–80.9
2081247.5230.4–264.85841.5–79.6
2082244.6227.9–262.358.839.7–77.7
2083247.5227.8–265.160.839.1–82.9
2084247.3228.3–266.862.540.4–82.9
2085246.5227.5–267.160.741.3–87.6
2086245.6227.7–266.560.542.1–83.3
2087245.5226.7–266.257.941–82.9
2088247229.4–266.964.243.4–85.3
2089248.1230–266.361.541.3–81.2
2090249228.9–266.461.641.5–86.8
2091248.9230–266.563.341.6–86.3
2092249.8232.3–267.863.144.9–84.8
2093248.1229–266.562.443.2–86.1
2094249.1230.6–268.463.145.6–87.4
2095251233.2–27065.342.6–91.7
2096247.8231.4–269.36142.7–90.1
2097251.1231.4–26858.841.2–84.6
2098252.3230.8–268.365.143.8–89.8
2099248.7230.1–268.364.345–87
2100250.4232.9–266.758.742–88.2

Each country on its own

Good to know

  • Nights in a year when the temperature stays above 20 °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

India vs South Africa

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment