Brazil vs Kenya

Brazil vs Kenya: Tropical nights

Tropical nights in 2014: 282 nights in Brazil and 245.6 nights in Kenya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Brazil, by 36.4 nights, or 1.15 times that in Kenya.

Watch it change on the map

nights a year · CMIP6

Brazil vs Kenya: Tropical nightsTropical nights in 2014: 282 nights in Brazil and 245.6 nights in Kenya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Brazil, by 36.4 nights, or 1.15 times that in Kenya.
BrazilKenyaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Brazil has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Brazil at 317.3 nights and Kenya at 277 nights in 2100.

Every year

nights a year · CMIP6

YearBrazilKenya
2014282245.6
2013282.5245.4
2012283.6244.7
2011281.8245
2010280.2243.8
2009279.2242.3
2008277.8240.3
2007275.9240.9
2006275.4241.5
2005275.8241.2
2004278.5241.8
2003276.7240.8
2002276.2240.7
2001277.7242
2000273.3239.5
1999271237.8
1998273.6239.2
1997270.9236.9
1996264.7234.2
1995263.8232.9
1994263.6231.9
1993258.3227.4
1992252.8224.8
1991269.7233.8
1990272.5236.4
1989267.1234.5
1988264.7233.1
1987265.9232.6
1986265.7233
1985260.6228.7
1984261.1230.2
1983255.9226.7
1982264.8230.6
1981265.3232.9
1980262231.3
1979261.2229.6
1978259.7228.7
1977261.8229.9
1976258.4227.8
1975252.4225.9
1974258.7230.5
1973261230.4
1972258.1228.7
1971256.5226
1970254.5226.3
1969255.1225.9
1968254.9222.9
1967250.3224
1966254.5225.2
1965250.8224.2
1964246.2221.8
1963241.9220.2
1962257.9227.2
1961258.2228.3
1960260.3228.8
1959255.7228.3
1958258.1229.1
1957256.6228
1956251.2225.5
1955257.2228.7
1954258227.4
1953255.2227.6
1952255.8228.5
1951256.3228.3
1950254.4226.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBrazilKenya
2015284257.6–299.5246.9232.3–256.1
2016281.5261.4–296.3244.9230.1–255
2017284.1263.2–297.8248.1233.1–257.7
2018283.4263.1–298.8248.7237–257.4
2019283.7262.9–302.4247.1234.8–256.7
2020286.3264.2–303.6248.6233.2–259.2
2021287.9266.9–302.3249.5236.3–258.1
2022289.6270.7–303.9251.5239.7–259.5
2023287.3270.5–303251.8239–260.8
2024291.5268.2–304.6254.2239.1–263
2025289.6269.1–304.8251.5238.1–261.8
2026289.7266.2–305.1252.2237.2–263.3
2027289.5269.1–303.7252.8238.4–263.8
2028291.2271.9–306254.9241.9–264.2
2029295.5276.3–309.6256243.4–264.6
2030292.2269.1–306.9253.6240.6–263.1
2031295.3274–308.9256244.7–264.4
2032296.8280.1–310.9257243.8–267.1
2033295.4273.3–308.5256241.8–265.9
2034294.3273.5–311.8256.2241.2–267.9
2035295.2274.4–310.9256.7243.3–266.7
2036295.1278.2–307.8256.2242.4–266.7
2037299.9283.7–311.3258.7245.9–268.4
2038299.6283.5–312.1260.3244.5–268.9
2039296.9279.9–311259244.4–268
2040298.5279.4–311.9258.3246.2–269.8
2041301.4282.2–314.1260.7244.8–271.2
2042300.6277.8–314.7260.3246.5–272.7
2043298.2279.8–312.7259246.6–270.5
2044300.3281.2–315.6261.2248.8–270.9
2045299.9279.7–313.1261.8248.7–272.9
2046302.8285.8–316.6264.8249.6–275.3
2047303.3285–316.4264.4249.8–275.3
2048304.4287.3–317.3264.2252.3–274.9
2049305.4288.4–318.5265.2252.8–275.6
2050303.9283.9–316.2263.9249.8–275.1
2051305.7287.5–317.5265.4252.1–275.1
2052305.9290.6–318.8266.3252.6–276.2
2053305.3285.9–317.5265.2251–275.4
2054306.1288.4–319.3265.2250.2–277.2
2055306.4290.8–319.8266.8251.6–277.6
2056306.7288.3–321.1266.2251.2–277.8
2057306.4287.6–321.1266.8253–278
2058309291–321.4266.7251.5–277.9
2059310.4290.7–322.8269.8254.7–280.5
2060311.6294.4–325.1271.1253.9–280.7
2061307.5290.3–321.2267.5253.9–281.7
2062309291.5–322.8268.1254–281.2
2063310.8290.6–322.8268.9255–280.1
2064309.6290.2–321.1270254.1–279.8
2065311.1291.6–323.1269.4255.8–282.3
2066312.2294.2–324.2270.6258.1–281
2067310.9291.5–323.3270.7256.1–283
2068311.5293–324.5270.2256–283
2069310.6292.2–323.6269.8256.1–283.3
2070312.7293–325.3270.1255.8–282.6
2071311.5292.1–323.9271.9257.9–284.4
2072313.3297.8–325.5273.5260.3–283.8
2073313.8298.6–327.2273.1259.9–285.4
2074311.4292.4–323.5271.9257.5–285.4
2075310.9291.5–324.5271.1256.5–284.7
2076314.2294.4–327.7274.1258.6–285.8
2077315.1295.6–326.8273.4259–286.6
2078314.9296.3–327.1273.1260–284.4
2079313292.8–326.8273.3258.7–286.6
2080311.9294.7–325.4275.5259.4–286.9
2081313.5295.5–325.6274.7259.8–285.6
2082315296.8–327.1274.8261.3–286.4
2083315.7295.3–328.7274259.6–289.3
2084316.6298.5–327.9276.8259–288.8
2085317.4299.3–329.8276.2261.5–289.1
2086315.8294–328275.1260–289.1
2087316.5297.9–328.5276.2260.3–288.5
2088315.6297.3–328.8276.8261.6–289.7
2089315296.6–327.9275.9260.3–288.8
2090316298.9–330.3275.3260.5–290.5
2091317298.1–330.6277.7260.4–290.9
2092317.6298.7–330.7276.2261.2–290.7
2093316.3297.5–328.6276.9262–290.1
2094316.4300.2–327.5277262.8–288.9
2095319299.8–330.7278.4262.3–290.4
2096317.7299.5–330.8277.6260.5–292
2097316.9297.8–329277261–290.2
2098318.6299.9–331.9277.6262.3–291.5
2099318.1300–330.2277.9260.8–292.4
2100317.3298.4–330.3277261.8–290.4

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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