Colombia vs Pakistan

Colombia vs Pakistan: Tropical nights

Tropical nights in 2014: 279.9 nights in Colombia and 149.9 nights in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 130 nights, or 1.87 times that in Pakistan.

Watch it change on the map

nights a year · CMIP6

Colombia vs Pakistan: Tropical nightsTropical nights in 2014: 279.9 nights in Colombia and 149.9 nights in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 130 nights, or 1.87 times that in Pakistan.
ColombiaPakistanCMIP6 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 Pakistan at 177.6 nights in 2100.

Every year

nights a year · CMIP6

YearColombiaPakistan
2014279.9149.9
2013279.8149.1
2012280.7149.9
2011280149
2010279.1148.4
2009279.3147.1
2008278.4147.4
2007277.3147.3
2006277.5146.7
2005277.7146.5
2004278.2147.5
2003277.5146
2002277.3148.3
2001278145.4
2000276.2144.7
1999274.6146.9
1998275.2144.8
1997274.4143.2
1996271.2141.2
1995271.3141.8
1994270.4142.1
1993268140.4
1992264.7139.9
1991273.9142.5
1990275.6142.6
1989271.9142.5
1988270.3140.3
1987271.8140
1986271.4140
1985268.4140
1984268.2138.9
1983265.1136.3
1982269.2138.5
1981272.1141.5
1980270.2139.5
1979269.3139.1
1978268.3139
1977269.6138.6
1976266.1139.2
1975261.6136.5
1974266.6138.7
1973269.9137.8
1972266.6137.4
1971265.7136
1970265.4137.7
1969266135.9
1968264.6136.6
1967261.7135.2
1966263.7136.9
1965263.2138.3
1964260.3135.1
1963254.8135.7
1962266.7137
1961267138.6
1960268.6139
1959265.5138.6
1958268137.7
1957267.4140
1956263.3137.8
1955267.7137.5
1954267.2137.8
1953267.9136.9
1952268.1138.1
1951267.2136.7
1950266.5139.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearColombiaPakistan
2015280.4265.9–286.4152.4138.7–163.3
2016279.9267.9–285.6150.6139.4–161.7
2017281.7270.6–286.3151.3138.8–162
2018281.5271.8–286.3152.6139.8–161.8
2019281.1269.5–286.9151.8138.1–163.3
2020282.1270.6–287.9153.1140.3–164.5
2021283.2273.9–287.8154.1140.6–165.7
2022283.7273.6–288.5153.1140.2–165.7
2023282.6274.2–288.8155.5141.6–165.9
2024284.7274.7–289.8156.8143.3–168.7
2025283.5273.3–289.7155.7141.5–168.6
2026283.4272.7–289.7155.3142.2–167.9
2027283.9273.4–289.2156.8140.9–168.9
2028285275.1–290.7156.5143.9–167.6
2029285.8276–290.3155.9141.5–167.7
2030284.2273.4–289.8156.3143.3–167.6
2031285.8274.8–291.2157.3144.4–168.1
2032286.7278.3–292.6157.4142.5–169.6
2033285.7274.7–290.3157.7143.6–169.4
2034285275.8–292.8159.5145.6–173.4
2035285.9277.3–292159.3146.7–170.3
2036286276.9–291.6159.1147.5–171.4
2037287.5279.3–291.9162.2147.5–175.3
2038288279.7–292.4161.4148.6–171.7
2039287.6278.8–292.7160148.2–170.4
2040287.6279.3–294.5160.9147.9–171.3
2041288.2279.9–292.7160.8146.7–171.7
2042288.2278.3–295162.3149.9–175.6
2043287.7277.7–293.4161.1150.3–173.8
2044287.8278.5–295.1163150.9–173.9
2045288.8280.5–293.9163149.5–174.8
2046290.4281–295.5163.5149.8–177.2
2047289.9280.6–294.6165.2151.8–178.5
2048290.7281.4–296.8166.4154.1–179.4
2049290.9282–295.3165150.8–178.2
2050290.1280.8–296166.9153.5–179.3
2051290.6280.9–295.7165.6150.8–180
2052290.9281.9–296.7166.7155.4–179.5
2053290.5280.8–296.3166.3154.2–178.8
2054290.8281.3–297.2167.5153.9–181
2055291.1282.6–298167.8155.8–182.5
2056291.5281.5–298.6166.3153.6–179.7
2057291.5281.2–297.3168.3153.9–182.3
2058291.8281.7–298.9167.5157–179.9
2059292.8282–299.2170.9155.9–183.8
2060293.2283–300.1170.3156.5–181.8
2061292.2281.9–298.7168.8156.8–179.6
2062292.6282.4–299.7171.6153.5–186.5
2063293.6282.3–298.6171.3159.5–183.8
2064292.7282.9–299.1170.2155.3–184.5
2065293.8283.6–299.4169.7156.4–185
2066293.1283.4–299.8172.2157–186.7
2067292.9281.8–299.6173.2160.2–186.3
2068294.2282.5–300.6172.6157.7–186.3
2069292.9282.4–300171.8157.3–185.6
2070292.9282.8–300.8171.7158.9–186.7
2071294.2282.8–301.5173.4158.7–186.8
2072294.9285.1–301.9174161.5–186.9
2073294.9285.5–302.2175.6157.2–187.9
2074293.9283.3–300.3173.5160–186.3
2075294.1283.2–300.6173161.5–187.8
2076294.9284.6–302172.9158.8–186.7
2077295.3284.3–301.9175161.3–187.8
2078294.4285–302174.4160.9–189.3
2079294.8283.7–301.8172.5158.3–187.7
2080295.1283.4–302.8175.1160.7–189.2
2081295.1284.8–302.6174.9159.2–190.2
2082295.1284.9–301.3175.4161.8–190.6
2083295.4284.5–304.6176.5161.8–190.8
2084296285.1–304.4176.1160.9–190.5
2085296.6285–305176.3161.9–193.6
2086295.6284.8–303.6173.9160–189.1
2087295.3284.1–303.4176161–193.1
2088295.9284.5–305.5175.4160.5–195.2
2089295.6285–304.5177.2164.2–191.7
2090295.7285.8–304.6177.7163.9–192.2
2091297285–304.9177.8162.8–192.2
2092296.8286–305.7178.7162.9–192.9
2093296.3285.6–305.3177164–191
2094296.4285.8–305176.8164.1–190.7
2095297.9285.6–304.9178.6163.8–193.1
2096296285.9–307.5177.8163.7–192.5
2097296.5284.8–303.4177.3160.4–192.5
2098296.6286–307.3178.7162.6–195.7
2099297284.6–305.4176159.9–193.2
2100297.4286.5–305.2177.6162.2–193

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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