Indonesia vs Kenya

Indonesia vs Kenya: Tropical nights

Tropical nights in 2014: 306.5 nights in Indonesia and 245.6 nights in Kenya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 60.9 nights, or 1.25 times that in Kenya.

Watch it change on the map

nights a year · CMIP6

Indonesia vs Kenya: Tropical nightsTropical nights in 2014: 306.5 nights in Indonesia and 245.6 nights in Kenya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 60.9 nights, or 1.25 times that in Kenya.
IndonesiaKenyaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Indonesia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Indonesia at 334.7 nights and Kenya at 277 nights in 2100.

Every year

nights a year · CMIP6

YearIndonesiaKenya
2014306.5245.6
2013306.4245.4
2012306.3244.7
2011304.6245
2010305.6243.8
2009303.9242.3
2008303.4240.3
2007302.8240.9
2006302.8241.5
2005303.1241.2
2004303.8241.8
2003301.9240.8
2002301.5240.7
2001302.5242
2000300.9239.5
1999300.4237.8
1998299.1239.2
1997297.9236.9
1996296.9234.2
1995296.7232.9
1994294.6231.9
1993291.6227.4
1992288.5224.8
1991297.5233.8
1990298.6236.4
1989296234.5
1988296.5233.1
1987295.6232.6
1986295.8233
1985292.8228.7
1984293.4230.2
1983290.1226.7
1982294.4230.6
1981294.8232.9
1980294.5231.3
1979294.1229.6
1978292.4228.7
1977293.4229.9
1976290.8227.8
1975290.7225.9
1974291.5230.5
1973293230.4
1972290.7228.7
1971291.2226
1970288.9226.3
1969290.4225.9
1968289.1222.9
1967288.4224
1966290.5225.2
1965288.1224.2
1964286.2221.8
1963286.4220.2
1962291.2227.2
1961292.9228.3
1960292.8228.8
1959291.9228.3
1958293.3229.1
1957290.8228
1956291.5225.5
1955292.4228.7
1954290227.4
1953291.4227.6
1952291.7228.5
1951291.7228.3
1950291.8226.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIndonesiaKenya
2015308295.7–315.1246.9232.3–256.1
2016307.5296.9–315.6244.9230.1–255
2017308.4295.5–315.6248.1233.1–257.7
2018308.9296.4–316.6248.7237–257.4
2019309.9297.8–316.7247.1234.8–256.7
2020310.9299–318.6248.6233.2–259.2
2021310.4298.7–316.4249.5236.3–258.1
2022311.4300–319.6251.5239.7–259.5
2023311.4300.1–320.6251.8239–260.8
2024313.2302–321.2254.2239.1–263
2025312300.2–321.9251.5238.1–261.8
2026312.6299.9–322.8252.2237.2–263.3
2027312.7301–321.6252.8238.4–263.8
2028313.8302.4–321.9254.9241.9–264.2
2029315.5303.9–324.1256243.4–264.6
2030314.2303.1–322.6253.6240.6–263.1
2031314.4301.6–321.9256244.7–264.4
2032316.9304.8–325.8257243.8–267.1
2033316.6305.4–323.3256241.8–265.9
2034315.4303.9–323.9256.2241.2–267.9
2035316.3305.6–327.9256.7243.3–266.7
2036317.7305.2–326.2256.2242.4–266.7
2037318.1306.6–325.2258.7245.9–268.4
2038319.3307.6–326.7260.3244.5–268.9
2039319.4307.7–326.7259244.4–268
2040318.5306.5–329258.3246.2–269.8
2041320.2308.3–328260.7244.8–271.2
2042320308.7–329.2260.3246.5–272.7
2043318.6306.6–327.8259246.6–270.5
2044321309–329.6261.2248.8–270.9
2045320.8308.6–329.8261.8248.7–272.9
2046322.8308.8–331264.8249.6–275.3
2047323.2308.8–333264.4249.8–275.3
2048322.3310.5–332.3264.2252.3–274.9
2049323.8311.6–334.1265.2252.8–275.6
2050323.3310.3–333.5263.9249.8–275.1
2051323.6311.2–334.4265.4252.1–275.1
2052325.1311.7–334.7266.3252.6–276.2
2053323.9310.9–333.8265.2251–275.4
2054324.4311.9–335.4265.2250.2–277.2
2055325.3312.6–335266.8251.6–277.6
2056325.9312.4–337.2266.2251.2–277.8
2057326.9311.9–335.2266.8253–278
2058326.4313–336.3266.7251.5–277.9
2059326.4313.9–337.8269.8254.7–280.5
2060329.5314.9–338.2271.1253.9–280.7
2061327.9313.6–336.9267.5253.9–281.7
2062327.6312.4–339.1268.1254–281.2
2063327.6313.9–339.4268.9255–280.1
2064328.8314.4–338.6270254.1–279.8
2065327.6314.3–337.9269.4255.8–282.3
2066328.6314.7–338.5270.6258.1–281
2067328.8314.3–338270.7256.1–283
2068329.8314.4–339.9270.2256–283
2069329.5315.5–339.3269.8256.1–283.3
2070328.6315.1–338.8270.1255.8–282.6
2071331.4315.5–340.4271.9257.9–284.4
2072330.3315.9–339.4273.5260.3–283.8
2073331.4317.7–341273.1259.9–285.4
2074329.9316.8–341.1271.9257.5–285.4
2075330.5315.2–340.2271.1256.5–284.7
2076331.5316.2–341.2274.1258.6–285.8
2077332315.9–341.8273.4259–286.6
2078331.4318.2–340.9273.1260–284.4
2079331.5316.6–341.5273.3258.7–286.6
2080332.4317.4–343.2275.5259.4–286.9
2081332.3318.4–341.8274.7259.8–285.6
2082332.8317.8–340.4274.8261.3–286.4
2083333.1318.7–342.6274259.6–289.3
2084333317.8–342.7276.8259–288.8
2085332.6318.1–342.7276.2261.5–289.1
2086333.1318.9–342.3275.1260–289.1
2087332.6318–343.2276.2260.3–288.5
2088334.5319.5–343.1276.8261.6–289.7
2089333.6319–342.6275.9260.3–288.8
2090333.3319.6–343.3275.3260.5–290.5
2091334.5318.2–343.9277.7260.4–290.9
2092335.1319.7–343.6276.2261.2–290.7
2093333.9320–344.9276.9262–290.1
2094335.6320.4–342.8277262.8–288.9
2095335.4319.7–343278.4262.3–290.4
2096334.3319.4–346.1277.6260.5–292
2097334.2319.5–343.3277261–290.2
2098334.9319.4–343.4277.6262.3–291.5
2099334.4319.4–344.6277.9260.8–292.4
2100334.7318.7–343.3277261.8–290.4

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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