Kenya vs Thailand

Kenya vs Thailand: Tropical nights

Tropical nights in 2014: 245.6 nights in Kenya and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 40.8 nights, or 1.17 times that in Kenya.

Watch it change on the map

nights a year · CMIP6

Kenya vs Thailand: Tropical nightsTropical nights in 2014: 245.6 nights in Kenya and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 40.8 nights, or 1.17 times that in Kenya.
KenyaThailandCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Thailand 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 Thailand at 320.8 nights in 2100.

Every year

nights a year · CMIP6

YearKenyaThailand
2014245.6286.4
2013245.4289.1
2012244.7286.6
2011245286.4
2010243.8286
2009242.3286.9
2008240.3284.8
2007240.9283.2
2006241.5284.3
2005241.2281.7
2004241.8287.5
2003240.8279.3
2002240.7280
2001242285.5
2000239.5283.4
1999237.8282.5
1998239.2282.7
1997236.9284.8
1996234.2279.8
1995232.9278.7
1994231.9280.8
1993227.4275.6
1992224.8268.8
1991233.8276.7
1990236.4279.2
1989234.5278.4
1988233.1279.6
1987232.6277.9
1986233277.5
1985228.7276
1984230.2277.9
1983226.7273.9
1982230.6275.7
1981232.9277.8
1980231.3277.9
1979229.6278
1978228.7276
1977229.9277.3
1976227.8275.6
1975225.9274.4
1974230.5276
1973230.4280.6
1972228.7273.9
1971226273.2
1970226.3276
1969225.9274.8
1968222.9277
1967224270.3
1966225.2274.4
1965224.2275.8
1964221.8271.9
1963220.2274.7
1962227.2275.4
1961228.3278.5
1960228.8276.2
1959228.3274.4
1958229.1278.7
1957228277.4
1956225.5277
1955228.7274.6
1954227.4275
1953227.6275.4
1952228.5275.1
1951228.3277.5
1950226.3276.2
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearKenyaThailand
2015246.9232.3–256.1290.6272.2–305
2016244.9230.1–255287.1269.8–306.2
2017248.1233.1–257.7290273.8–302.8
2018248.7237–257.4292.6275.1–308.7
2019247.1234.8–256.7291.2272.8–306.7
2020248.6233.2–259.2292.4272.2–307.8
2021249.5236.3–258.1294.2276.3–308.5
2022251.5239.7–259.5294.8277.2–311.9
2023251.8239–260.8296.1281.9–310.2
2024254.2239.1–263291.7275.5–307.8
2025251.5238.1–261.8294276.7–306.3
2026252.2237.2–263.3296278–309.3
2027252.8238.4–263.8295.8276.3–311.1
2028254.9241.9–264.2297279.3–315.1
2029256243.4–264.6300.3278.7–315
2030253.6240.6–263.1297.7280.2–312.5
2031256244.7–264.4300.8282.8–317.1
2032257243.8–267.1297.2280.9–311.4
2033256241.8–265.9300281.9–315.8
2034256.2241.2–267.9300.8279–318.4
2035256.7243.3–266.7298.6281.5–317.8
2036256.2242.4–266.7300.4279.9–316.9
2037258.7245.9–268.4299.8280–315.1
2038260.3244.5–268.9304.8286.6–319.3
2039259244.4–268300.9281.9–317
2040258.3246.2–269.8301.6284.5–315.7
2041260.7244.8–271.2303.1285.1–318.8
2042260.3246.5–272.7303.8290–318.3
2043259246.6–270.5302285.8–317.9
2044261.2248.8–270.9304.3286.3–318.8
2045261.8248.7–272.9307.1287.7–324.2
2046264.8249.6–275.3305.9285.2–321
2047264.4249.8–275.3306.6289.5–321.5
2048264.2252.3–274.9309.4288.9–325.7
2049265.2252.8–275.6308.1287.2–324.1
2050263.9249.8–275.1307.5291–321.5
2051265.4252.1–275.1312.8294.8–326
2052266.3252.6–276.2310.9291.2–323.4
2053265.2251–275.4308.3289.5–323.3
2054265.2250.2–277.2308.8292.8–322.3
2055266.8251.6–277.6308.6290.6–325.1
2056266.2251.2–277.8311.3294.9–326.3
2057266.8253–278308.5286.7–326.4
2058266.7251.5–277.9308291.1–325.1
2059269.8254.7–280.5312.7295.8–325.3
2060271.1253.9–280.7313.1294.6–328.6
2061267.5253.9–281.7314.4289.5–331.1
2062268.1254–281.2311.4293.4–330.3
2063268.9255–280.1314.8296.9–327.3
2064270254.1–279.8312.5295.4–330
2065269.4255.8–282.3309.6293.1–329.3
2066270.6258.1–281312.1292.6–328
2067270.7256.1–283311.2289.6–329.4
2068270.2256–283310.8292.4–330.6
2069269.8256.1–283.3315.5296.1–329.5
2070270.1255.8–282.6314.2292.9–330.7
2071271.9257.9–284.4313.8296.4–330.8
2072273.5260.3–283.8314.8296–329.6
2073273.1259.9–285.4316.5299.9–332.1
2074271.9257.5–285.4317.2295–333.8
2075271.1256.5–284.7317.2295.3–331.4
2076274.1258.6–285.8317.4299.8–335
2077273.4259–286.6317.5297.3–335.9
2078273.1260–284.4315.9297.1–331.6
2079273.3258.7–286.6318.5300.5–332.3
2080275.5259.4–286.9319.8297.4–337.5
2081274.7259.8–285.6317.7299.5–334.9
2082274.8261.3–286.4317.9294.8–333
2083274259.6–289.3315297.8–332.9
2084276.8259–288.8316295.5–330
2085276.2261.5–289.1322.6300.8–334.7
2086275.1260–289.1319.4295.2–335.2
2087276.2260.3–288.5320.2302.2–334.7
2088276.8261.6–289.7321.4299.8–334.8
2089275.9260.3–288.8318.9296.4–338.1
2090275.3260.5–290.5317.6304–337.4
2091277.7260.4–290.9320.1299.8–336.1
2092276.2261.2–290.7316.3298–336.4
2093276.9262–290.1316.1297.7–333.7
2094277262.8–288.9323.4301.8–337.3
2095278.4262.3–290.4322.9302.4–338.9
2096277.6260.5–292319.6302.8–336.7
2097277261–290.2319.8299.1–336
2098277.6262.3–291.5320.5303.9–336
2099277.9260.8–292.4319.9303.1–334.4
2100277261.8–290.4320.8301.1–336.7

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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