Kenya vs Vietnam

Kenya vs Vietnam: Tropical nights

Tropical nights in 2014: 245.6 nights in Kenya and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 3 nights, or 1.01 times that in Vietnam.

Watch it change on the map

nights a year · CMIP6

Kenya vs Vietnam: Tropical nightsTropical nights in 2014: 245.6 nights in Kenya and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 3 nights, or 1.01 times that in Vietnam.
KenyaVietnamCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Kenya has been higher since 2005.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Kenya at 277 nights and Vietnam at 282.7 nights in 2100.

Every year

nights a year · CMIP6

YearKenyaVietnam
2014245.6242.6
2013245.4243.6
2012244.7242.4
2011245241.9
2010243.8240.9
2009242.3240
2008240.3238.7
2007240.9238
2006241.5239.1
2005241.2238.3
2004241.8241.8
2003240.8235.9
2002240.7236.3
2001242241.3
2000239.5237
1999237.8236
1998239.2236.8
1997236.9237.1
1996234.2231.4
1995232.9229.9
1994231.9231.2
1993227.4225.3
1992224.8221.9
1991233.8229.8
1990236.4233.1
1989234.5229.2
1988233.1231.7
1987232.6230.3
1986233230.9
1985228.7228
1984230.2230.2
1983226.7224.9
1982230.6227.5
1981232.9229.7
1980231.3228.1
1979229.6228.9
1978228.7227.5
1977229.9229
1976227.8225.8
1975225.9225.8
1974230.5225.7
1973230.4230.3
1972228.7225.6
1971226225.5
1970226.3226.1
1969225.9227
1968222.9227.1
1967224222.9
1966225.2226.8
1965224.2225.4
1964221.8222.6
1963220.2224.3
1962227.2227.8
1961228.3229.4
1960228.8228.5
1959228.3226.2
1958229.1230.9
1957228228.4
1956225.5228.7
1955228.7227.5
1954227.4226.3
1953227.6228.2
1952228.5228.5
1951228.3229.2
1950226.3228.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearKenyaVietnam
2015246.9232.3–256.1245.8228.2–261.9
2016244.9230.1–255243.7226.1–259.4
2017248.1233.1–257.7247229.6–260.7
2018248.7237–257.4248.3228.8–263.3
2019247.1234.8–256.7248.1229.2–262.8
2020248.6233.2–259.2248.8229.6–262.9
2021249.5236.3–258.1251.1233.1–266.7
2022251.5239.7–259.5252.4234.3–266.8
2023251.8239–260.8253.4235.4–266.6
2024254.2239.1–263251.3236.7–264.6
2025251.5238.1–261.8252.4234.1–266.2
2026252.2237.2–263.3252.8232.9–268.5
2027252.8238.4–263.8253.2237–268.8
2028254.9241.9–264.2254.3237.7–272
2029256243.4–264.6258.1238.5–273.7
2030253.6240.6–263.1256.4240.9–270.1
2031256244.7–264.4255.9241.2–270.9
2032257243.8–267.1257.4239.1–269.9
2033256241.8–265.9258.3241.7–273.2
2034256.2241.2–267.9258.8240.7–275.8
2035256.7243.3–266.7258.6242.5–275.4
2036256.2242.4–266.7258.3239.1–273.8
2037258.7245.9–268.4258.7242.4–272.4
2038260.3244.5–268.9263.4247.6–277.3
2039259244.4–268260.2243.7–275.9
2040258.3246.2–269.8260.1242.8–274.8
2041260.7244.8–271.2263.1245.9–279
2042260.3246.5–272.7263.6246.5–279
2043259246.6–270.5261.4245.5–279.6
2044261.2248.8–270.9263.2245.2–277.6
2045261.8248.7–272.9265.5249.6–281.4
2046264.8249.6–275.3264.9246.8–278.1
2047264.4249.8–275.3266.9250.4–282.9
2048264.2252.3–274.9268250.5–283.8
2049265.2252.8–275.6267.8251.2–284.8
2050263.9249.8–275.1268251.2–283.5
2051265.4252.1–275.1270.9254.3–285.4
2052266.3252.6–276.2268.3253.3–282.8
2053265.2251–275.4268.5250.1–283.2
2054265.2250.2–277.2269.1250.8–283.6
2055266.8251.6–277.6270249.8–284.2
2056266.2251.2–277.8271.7254.8–290.1
2057266.8253–278270253–285.7
2058266.7251.5–277.9270.7252.9–286.5
2059269.8254.7–280.5273257.6–286.6
2060271.1253.9–280.7275.7255.6–290.6
2061267.5253.9–281.7273.5254.6–289.5
2062268.1254–281.2271.4253.1–290.2
2063268.9255–280.1272.9252.7–288.1
2064270254.1–279.8273.8254.4–288.1
2065269.4255.8–282.3272255.8–286.3
2066270.6258.1–281271.8254.4–287.3
2067270.7256.1–283270.8252.1–287.6
2068270.2256–283275.6256.9–292.4
2069269.8256.1–283.3276.4258.5–292
2070270.1255.8–282.6274.6257.8–292.8
2071271.9257.9–284.4276.2255.2–294.1
2072273.5260.3–283.8277256.8–291.4
2073273.1259.9–285.4278.5262.7–293.4
2074271.9257.5–285.4277.6259.2–295.8
2075271.1256.5–284.7276.4258.7–294.4
2076274.1258.6–285.8279.2258.5–296.6
2077273.4259–286.6280264.9–294.7
2078273.1260–284.4278.4258.6–295.5
2079273.3258.7–286.6279.3263.4–293.6
2080275.5259.4–286.9280261.4–296.5
2081274.7259.8–285.6280.4261.2–297.9
2082274.8261.3–286.4280.9258.9–296
2083274259.6–289.3278.4261.6–295
2084276.8259–288.8279257.4–293.8
2085276.2261.5–289.1281.3265–297.8
2086275.1260–289.1282.3260.2–297.5
2087276.2260.3–288.5281.9261.3–300.7
2088276.8261.6–289.7283.1265.7–301.5
2089275.9260.3–288.8280.8261.2–301.6
2090275.3260.5–290.5280.5264.5–297.6
2091277.7260.4–290.9283.3264.3–298.9
2092276.2261.2–290.7281.1261.5–299.4
2093276.9262–290.1280.5263.4–296.1
2094277262.8–288.9283264.5–300
2095278.4262.3–290.4285.5264.5–302.9
2096277.6260.5–292281.8264.8–299.8
2097277261–290.2281.5263.3–299
2098277.6262.3–291.5282.5263.9–301.5
2099277.9260.8–292.4282.7265.1–298
2100277261.8–290.4282.7261–298.2

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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