Kenya vs Pakistan

Kenya vs Pakistan: Tropical nights

Tropical nights in 2014: 245.6 nights in Kenya and 149.9 nights in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 95.7 nights, or 1.64 times that in Pakistan.

Watch it change on the map

nights a year · CMIP6

Kenya vs Pakistan: Tropical nightsTropical nights in 2014: 245.6 nights in Kenya and 149.9 nights in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 95.7 nights, or 1.64 times that in Pakistan.
KenyaPakistanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Kenya has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Kenya at 277 nights and Pakistan at 177.6 nights in 2100.

Every year

nights a year · CMIP6

YearKenyaPakistan
2014245.6149.9
2013245.4149.1
2012244.7149.9
2011245149
2010243.8148.4
2009242.3147.1
2008240.3147.4
2007240.9147.3
2006241.5146.7
2005241.2146.5
2004241.8147.5
2003240.8146
2002240.7148.3
2001242145.4
2000239.5144.7
1999237.8146.9
1998239.2144.8
1997236.9143.2
1996234.2141.2
1995232.9141.8
1994231.9142.1
1993227.4140.4
1992224.8139.9
1991233.8142.5
1990236.4142.6
1989234.5142.5
1988233.1140.3
1987232.6140
1986233140
1985228.7140
1984230.2138.9
1983226.7136.3
1982230.6138.5
1981232.9141.5
1980231.3139.5
1979229.6139.1
1978228.7139
1977229.9138.6
1976227.8139.2
1975225.9136.5
1974230.5138.7
1973230.4137.8
1972228.7137.4
1971226136
1970226.3137.7
1969225.9135.9
1968222.9136.6
1967224135.2
1966225.2136.9
1965224.2138.3
1964221.8135.1
1963220.2135.7
1962227.2137
1961228.3138.6
1960228.8139
1959228.3138.6
1958229.1137.7
1957228140
1956225.5137.8
1955228.7137.5
1954227.4137.8
1953227.6136.9
1952228.5138.1
1951228.3136.7
1950226.3139.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearKenyaPakistan
2015246.9232.3–256.1152.4138.7–163.3
2016244.9230.1–255150.6139.4–161.7
2017248.1233.1–257.7151.3138.8–162
2018248.7237–257.4152.6139.8–161.8
2019247.1234.8–256.7151.8138.1–163.3
2020248.6233.2–259.2153.1140.3–164.5
2021249.5236.3–258.1154.1140.6–165.7
2022251.5239.7–259.5153.1140.2–165.7
2023251.8239–260.8155.5141.6–165.9
2024254.2239.1–263156.8143.3–168.7
2025251.5238.1–261.8155.7141.5–168.6
2026252.2237.2–263.3155.3142.2–167.9
2027252.8238.4–263.8156.8140.9–168.9
2028254.9241.9–264.2156.5143.9–167.6
2029256243.4–264.6155.9141.5–167.7
2030253.6240.6–263.1156.3143.3–167.6
2031256244.7–264.4157.3144.4–168.1
2032257243.8–267.1157.4142.5–169.6
2033256241.8–265.9157.7143.6–169.4
2034256.2241.2–267.9159.5145.6–173.4
2035256.7243.3–266.7159.3146.7–170.3
2036256.2242.4–266.7159.1147.5–171.4
2037258.7245.9–268.4162.2147.5–175.3
2038260.3244.5–268.9161.4148.6–171.7
2039259244.4–268160148.2–170.4
2040258.3246.2–269.8160.9147.9–171.3
2041260.7244.8–271.2160.8146.7–171.7
2042260.3246.5–272.7162.3149.9–175.6
2043259246.6–270.5161.1150.3–173.8
2044261.2248.8–270.9163150.9–173.9
2045261.8248.7–272.9163149.5–174.8
2046264.8249.6–275.3163.5149.8–177.2
2047264.4249.8–275.3165.2151.8–178.5
2048264.2252.3–274.9166.4154.1–179.4
2049265.2252.8–275.6165150.8–178.2
2050263.9249.8–275.1166.9153.5–179.3
2051265.4252.1–275.1165.6150.8–180
2052266.3252.6–276.2166.7155.4–179.5
2053265.2251–275.4166.3154.2–178.8
2054265.2250.2–277.2167.5153.9–181
2055266.8251.6–277.6167.8155.8–182.5
2056266.2251.2–277.8166.3153.6–179.7
2057266.8253–278168.3153.9–182.3
2058266.7251.5–277.9167.5157–179.9
2059269.8254.7–280.5170.9155.9–183.8
2060271.1253.9–280.7170.3156.5–181.8
2061267.5253.9–281.7168.8156.8–179.6
2062268.1254–281.2171.6153.5–186.5
2063268.9255–280.1171.3159.5–183.8
2064270254.1–279.8170.2155.3–184.5
2065269.4255.8–282.3169.7156.4–185
2066270.6258.1–281172.2157–186.7
2067270.7256.1–283173.2160.2–186.3
2068270.2256–283172.6157.7–186.3
2069269.8256.1–283.3171.8157.3–185.6
2070270.1255.8–282.6171.7158.9–186.7
2071271.9257.9–284.4173.4158.7–186.8
2072273.5260.3–283.8174161.5–186.9
2073273.1259.9–285.4175.6157.2–187.9
2074271.9257.5–285.4173.5160–186.3
2075271.1256.5–284.7173161.5–187.8
2076274.1258.6–285.8172.9158.8–186.7
2077273.4259–286.6175161.3–187.8
2078273.1260–284.4174.4160.9–189.3
2079273.3258.7–286.6172.5158.3–187.7
2080275.5259.4–286.9175.1160.7–189.2
2081274.7259.8–285.6174.9159.2–190.2
2082274.8261.3–286.4175.4161.8–190.6
2083274259.6–289.3176.5161.8–190.8
2084276.8259–288.8176.1160.9–190.5
2085276.2261.5–289.1176.3161.9–193.6
2086275.1260–289.1173.9160–189.1
2087276.2260.3–288.5176161–193.1
2088276.8261.6–289.7175.4160.5–195.2
2089275.9260.3–288.8177.2164.2–191.7
2090275.3260.5–290.5177.7163.9–192.2
2091277.7260.4–290.9177.8162.8–192.2
2092276.2261.2–290.7178.7162.9–192.9
2093276.9262–290.1177164–191
2094277262.8–288.9176.8164.1–190.7
2095278.4262.3–290.4178.6163.8–193.1
2096277.6260.5–292177.8163.7–192.5
2097277261–290.2177.3160.4–192.5
2098277.6262.3–291.5178.7162.6–195.7
2099277.9260.8–292.4176159.9–193.2
2100277261.8–290.4177.6162.2–193

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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