Colombia vs India

Colombia vs India: Tropical nights

Tropical nights in 2014: 279.9 nights in Colombia and 215.5 nights in India, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 64.4 nights, or 1.3 times that in India.

Watch it change on the map

nights a year · CMIP6

Colombia vs India: Tropical nightsTropical nights in 2014: 279.9 nights in Colombia and 215.5 nights in India, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 64.4 nights, or 1.3 times that in India.
ColombiaIndiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Colombia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Colombia at 297.4 nights and India at 250.4 nights in 2100.

Every year

nights a year · CMIP6

YearColombiaIndia
2014279.9215.5
2013279.8216
2012280.7217.4
2011280215.5
2010279.1215.2
2009279.3213.7
2008278.4213.7
2007277.3213.3
2006277.5212.5
2005277.7212.9
2004278.2214.9
2003277.5212.1
2002277.3213
2001278212.2
2000276.2210.8
1999274.6211.9
1998275.2210.3
1997274.4209.5
1996271.2207
1995271.3208.8
1994270.4207.1
1993268206
1992264.7203.5
1991273.9208
1990275.6209.9
1989271.9208
1988270.3207.3
1987271.8207.2
1986271.4207.2
1985268.4205.9
1984268.2206.7
1983265.1203.3
1982269.2205.7
1981272.1208.4
1980270.2205.3
1979269.3205.5
1978268.3204.1
1977269.6205.9
1976266.1204.6
1975261.6202.6
1974266.6205.3
1973269.9205.6
1972266.6203.8
1971265.7203.6
1970265.4202.6
1969266203.6
1968264.6201.7
1967261.7201.6
1966263.7203.9
1965263.2202.4
1964260.3201.2
1963254.8201.8
1962266.7203.8
1961267206.3
1960268.6206
1959265.5206.1
1958268204
1957267.4206.5
1956263.3204
1955267.7203.2
1954267.2206
1953267.9204
1952268.1204.4
1951267.2204.3
1950266.5206.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearColombiaIndia
2015280.4265.9–286.4216.9202.1–228.4
2016279.9267.9–285.6215202.5–227.6
2017281.7270.6–286.3216.2202.1–228.5
2018281.5271.8–286.3218.3204.5–231.4
2019281.1269.5–286.9217.4202.3–230.4
2020282.1270.6–287.9217.6203.1–232
2021283.2273.9–287.8219.7204.5–233.2
2022283.7273.6–288.5220.5205.8–233
2023282.6274.2–288.8220.4206.4–233.7
2024284.7274.7–289.8222.6208.1–236.3
2025283.5273.3–289.7219.7202.7–236.2
2026283.4272.7–289.7220.2204.2–236.8
2027283.9273.4–289.2223.6207.1–239
2028285275.1–290.7222.1205.1–235.7
2029285.8276–290.3225.4210–240.3
2030284.2273.4–289.8222.7207.3–235.6
2031285.8274.8–291.2223.8207.1–237.8
2032286.7278.3–292.6225.9210–240.5
2033285.7274.7–290.3223.8209.3–235.4
2034285275.8–292.8225.8210–242.7
2035285.9277.3–292224.9210.6–240.9
2036286276.9–291.6224.2210.4–240.3
2037287.5279.3–291.9228.3213.6–242.6
2038288279.7–292.4228.1212.6–241.4
2039287.6278.8–292.7227.4211.9–242.8
2040287.6279.3–294.5227212.2–242
2041288.2279.9–292.7227.1210.7–240.5
2042288.2278.3–295229.1214.8–244.2
2043287.7277.7–293.4228.9214.5–244
2044287.8278.5–295.1229.7214.7–244.2
2045288.8280.5–293.9231.2216.6–246.1
2046290.4281–295.5232.6216.2–248.6
2047289.9280.6–294.6232.4215.5–250
2048290.7281.4–296.8235.6218.5–254.3
2049290.9282–295.3235.3218.3–249.9
2050290.1280.8–296233.5216.6–253.4
2051290.6280.9–295.7234.9218.6–249.9
2052290.9281.9–296.7234219.4–249.3
2053290.5280.8–296.3234.9219.5–252.5
2054290.8281.3–297.2237.2219.4–253.1
2055291.1282.6–298237.2220.7–256.6
2056291.5281.5–298.6238.8221.2–254.9
2057291.5281.2–297.3235.7218.5–253.8
2058291.8281.7–298.9238.8222.8–254.1
2059292.8282–299.2241.1224.9–256.2
2060293.2283–300.1240.9225.6–255.6
2061292.2281.9–298.7237.9220.6–253.7
2062292.6282.4–299.7239.9221.2–259.7
2063293.6282.3–298.6239.9222.3–256.1
2064292.7282.9–299.1240223.8–256.3
2065293.8283.6–299.4240.9222.9–257.3
2066293.1283.4–299.8241.5224.1–258.6
2067292.9281.8–299.6241.6224.8–257.9
2068294.2282.5–300.6242.3224.6–262.1
2069292.9282.4–300242.8225.4–259.1
2070292.9282.8–300.8240.1225.3–257.1
2071294.2282.8–301.5241.8223.7–260.2
2072294.9285.1–301.9242.6225.4–259.2
2073294.9285.5–302.2243.8228–259.3
2074293.9283.3–300.3241.6226.9–258.4
2075294.1283.2–300.6243.5226.4–258.2
2076294.9284.6–302243.2224.6–259.9
2077295.3284.3–301.9243.7226.6–264.6
2078294.4285–302246.7230.1–261.5
2079294.8283.7–301.8244.9226.4–261.3
2080295.1283.4–302.8246.7227–263.7
2081295.1284.8–302.6247.5230.4–264.8
2082295.1284.9–301.3244.6227.9–262.3
2083295.4284.5–304.6247.5227.8–265.1
2084296285.1–304.4247.3228.3–266.8
2085296.6285–305246.5227.5–267.1
2086295.6284.8–303.6245.6227.7–266.5
2087295.3284.1–303.4245.5226.7–266.2
2088295.9284.5–305.5247229.4–266.9
2089295.6285–304.5248.1230–266.3
2090295.7285.8–304.6249228.9–266.4
2091297285–304.9248.9230–266.5
2092296.8286–305.7249.8232.3–267.8
2093296.3285.6–305.3248.1229–266.5
2094296.4285.8–305249.1230.6–268.4
2095297.9285.6–304.9251233.2–270
2096296285.9–307.5247.8231.4–269.3
2097296.5284.8–303.4251.1231.4–268
2098296.6286–307.3252.3230.8–268.3
2099297284.6–305.4248.7230.1–268.3
2100297.4286.5–305.2250.4232.9–266.7

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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