India vs Indonesia

India vs Indonesia: Tropical nights

Tropical nights in 2014: 215.5 nights in India and 306.5 nights in Indonesia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 91 nights, or 1.42 times that in India.

Watch it change on the map

nights a year · CMIP6

India vs Indonesia: Tropical nightsTropical nights in 2014: 215.5 nights in India and 306.5 nights in Indonesia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 91 nights, or 1.42 times that in India.
IndiaIndonesiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Indonesia 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 Indonesia at 334.7 nights in 2100.

Every year

nights a year · CMIP6

YearIndiaIndonesia
2014215.5306.5
2013216306.4
2012217.4306.3
2011215.5304.6
2010215.2305.6
2009213.7303.9
2008213.7303.4
2007213.3302.8
2006212.5302.8
2005212.9303.1
2004214.9303.8
2003212.1301.9
2002213301.5
2001212.2302.5
2000210.8300.9
1999211.9300.4
1998210.3299.1
1997209.5297.9
1996207296.9
1995208.8296.7
1994207.1294.6
1993206291.6
1992203.5288.5
1991208297.5
1990209.9298.6
1989208296
1988207.3296.5
1987207.2295.6
1986207.2295.8
1985205.9292.8
1984206.7293.4
1983203.3290.1
1982205.7294.4
1981208.4294.8
1980205.3294.5
1979205.5294.1
1978204.1292.4
1977205.9293.4
1976204.6290.8
1975202.6290.7
1974205.3291.5
1973205.6293
1972203.8290.7
1971203.6291.2
1970202.6288.9
1969203.6290.4
1968201.7289.1
1967201.6288.4
1966203.9290.5
1965202.4288.1
1964201.2286.2
1963201.8286.4
1962203.8291.2
1961206.3292.9
1960206292.8
1959206.1291.9
1958204293.3
1957206.5290.8
1956204291.5
1955203.2292.4
1954206290
1953204291.4
1952204.4291.7
1951204.3291.7
1950206.3291.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIndiaIndonesia
2015216.9202.1–228.4308295.7–315.1
2016215202.5–227.6307.5296.9–315.6
2017216.2202.1–228.5308.4295.5–315.6
2018218.3204.5–231.4308.9296.4–316.6
2019217.4202.3–230.4309.9297.8–316.7
2020217.6203.1–232310.9299–318.6
2021219.7204.5–233.2310.4298.7–316.4
2022220.5205.8–233311.4300–319.6
2023220.4206.4–233.7311.4300.1–320.6
2024222.6208.1–236.3313.2302–321.2
2025219.7202.7–236.2312300.2–321.9
2026220.2204.2–236.8312.6299.9–322.8
2027223.6207.1–239312.7301–321.6
2028222.1205.1–235.7313.8302.4–321.9
2029225.4210–240.3315.5303.9–324.1
2030222.7207.3–235.6314.2303.1–322.6
2031223.8207.1–237.8314.4301.6–321.9
2032225.9210–240.5316.9304.8–325.8
2033223.8209.3–235.4316.6305.4–323.3
2034225.8210–242.7315.4303.9–323.9
2035224.9210.6–240.9316.3305.6–327.9
2036224.2210.4–240.3317.7305.2–326.2
2037228.3213.6–242.6318.1306.6–325.2
2038228.1212.6–241.4319.3307.6–326.7
2039227.4211.9–242.8319.4307.7–326.7
2040227212.2–242318.5306.5–329
2041227.1210.7–240.5320.2308.3–328
2042229.1214.8–244.2320308.7–329.2
2043228.9214.5–244318.6306.6–327.8
2044229.7214.7–244.2321309–329.6
2045231.2216.6–246.1320.8308.6–329.8
2046232.6216.2–248.6322.8308.8–331
2047232.4215.5–250323.2308.8–333
2048235.6218.5–254.3322.3310.5–332.3
2049235.3218.3–249.9323.8311.6–334.1
2050233.5216.6–253.4323.3310.3–333.5
2051234.9218.6–249.9323.6311.2–334.4
2052234219.4–249.3325.1311.7–334.7
2053234.9219.5–252.5323.9310.9–333.8
2054237.2219.4–253.1324.4311.9–335.4
2055237.2220.7–256.6325.3312.6–335
2056238.8221.2–254.9325.9312.4–337.2
2057235.7218.5–253.8326.9311.9–335.2
2058238.8222.8–254.1326.4313–336.3
2059241.1224.9–256.2326.4313.9–337.8
2060240.9225.6–255.6329.5314.9–338.2
2061237.9220.6–253.7327.9313.6–336.9
2062239.9221.2–259.7327.6312.4–339.1
2063239.9222.3–256.1327.6313.9–339.4
2064240223.8–256.3328.8314.4–338.6
2065240.9222.9–257.3327.6314.3–337.9
2066241.5224.1–258.6328.6314.7–338.5
2067241.6224.8–257.9328.8314.3–338
2068242.3224.6–262.1329.8314.4–339.9
2069242.8225.4–259.1329.5315.5–339.3
2070240.1225.3–257.1328.6315.1–338.8
2071241.8223.7–260.2331.4315.5–340.4
2072242.6225.4–259.2330.3315.9–339.4
2073243.8228–259.3331.4317.7–341
2074241.6226.9–258.4329.9316.8–341.1
2075243.5226.4–258.2330.5315.2–340.2
2076243.2224.6–259.9331.5316.2–341.2
2077243.7226.6–264.6332315.9–341.8
2078246.7230.1–261.5331.4318.2–340.9
2079244.9226.4–261.3331.5316.6–341.5
2080246.7227–263.7332.4317.4–343.2
2081247.5230.4–264.8332.3318.4–341.8
2082244.6227.9–262.3332.8317.8–340.4
2083247.5227.8–265.1333.1318.7–342.6
2084247.3228.3–266.8333317.8–342.7
2085246.5227.5–267.1332.6318.1–342.7
2086245.6227.7–266.5333.1318.9–342.3
2087245.5226.7–266.2332.6318–343.2
2088247229.4–266.9334.5319.5–343.1
2089248.1230–266.3333.6319–342.6
2090249228.9–266.4333.3319.6–343.3
2091248.9230–266.5334.5318.2–343.9
2092249.8232.3–267.8335.1319.7–343.6
2093248.1229–266.5333.9320–344.9
2094249.1230.6–268.4335.6320.4–342.8
2095251233.2–270335.4319.7–343
2096247.8231.4–269.3334.3319.4–346.1
2097251.1231.4–268334.2319.5–343.3
2098252.3230.8–268.3334.9319.4–343.4
2099248.7230.1–268.3334.4319.4–344.6
2100250.4232.9–266.7334.7318.7–343.3

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

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