India vs Kenya

India vs Kenya: Tropical nights

Tropical nights in 2014: 215.5 nights in India and 245.6 nights in Kenya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 30.1 nights, or 1.14 times that in India.

Watch it change on the map

nights a year · CMIP6

India vs Kenya: Tropical nightsTropical nights in 2014: 215.5 nights in India and 245.6 nights in Kenya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 30.1 nights, or 1.14 times that in India.
IndiaKenyaCMIP6 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 India at 250.4 nights and Kenya at 277 nights in 2100.

Every year

nights a year · CMIP6

YearIndiaKenya
2014215.5245.6
2013216245.4
2012217.4244.7
2011215.5245
2010215.2243.8
2009213.7242.3
2008213.7240.3
2007213.3240.9
2006212.5241.5
2005212.9241.2
2004214.9241.8
2003212.1240.8
2002213240.7
2001212.2242
2000210.8239.5
1999211.9237.8
1998210.3239.2
1997209.5236.9
1996207234.2
1995208.8232.9
1994207.1231.9
1993206227.4
1992203.5224.8
1991208233.8
1990209.9236.4
1989208234.5
1988207.3233.1
1987207.2232.6
1986207.2233
1985205.9228.7
1984206.7230.2
1983203.3226.7
1982205.7230.6
1981208.4232.9
1980205.3231.3
1979205.5229.6
1978204.1228.7
1977205.9229.9
1976204.6227.8
1975202.6225.9
1974205.3230.5
1973205.6230.4
1972203.8228.7
1971203.6226
1970202.6226.3
1969203.6225.9
1968201.7222.9
1967201.6224
1966203.9225.2
1965202.4224.2
1964201.2221.8
1963201.8220.2
1962203.8227.2
1961206.3228.3
1960206228.8
1959206.1228.3
1958204229.1
1957206.5228
1956204225.5
1955203.2228.7
1954206227.4
1953204227.6
1952204.4228.5
1951204.3228.3
1950206.3226.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIndiaKenya
2015216.9202.1–228.4246.9232.3–256.1
2016215202.5–227.6244.9230.1–255
2017216.2202.1–228.5248.1233.1–257.7
2018218.3204.5–231.4248.7237–257.4
2019217.4202.3–230.4247.1234.8–256.7
2020217.6203.1–232248.6233.2–259.2
2021219.7204.5–233.2249.5236.3–258.1
2022220.5205.8–233251.5239.7–259.5
2023220.4206.4–233.7251.8239–260.8
2024222.6208.1–236.3254.2239.1–263
2025219.7202.7–236.2251.5238.1–261.8
2026220.2204.2–236.8252.2237.2–263.3
2027223.6207.1–239252.8238.4–263.8
2028222.1205.1–235.7254.9241.9–264.2
2029225.4210–240.3256243.4–264.6
2030222.7207.3–235.6253.6240.6–263.1
2031223.8207.1–237.8256244.7–264.4
2032225.9210–240.5257243.8–267.1
2033223.8209.3–235.4256241.8–265.9
2034225.8210–242.7256.2241.2–267.9
2035224.9210.6–240.9256.7243.3–266.7
2036224.2210.4–240.3256.2242.4–266.7
2037228.3213.6–242.6258.7245.9–268.4
2038228.1212.6–241.4260.3244.5–268.9
2039227.4211.9–242.8259244.4–268
2040227212.2–242258.3246.2–269.8
2041227.1210.7–240.5260.7244.8–271.2
2042229.1214.8–244.2260.3246.5–272.7
2043228.9214.5–244259246.6–270.5
2044229.7214.7–244.2261.2248.8–270.9
2045231.2216.6–246.1261.8248.7–272.9
2046232.6216.2–248.6264.8249.6–275.3
2047232.4215.5–250264.4249.8–275.3
2048235.6218.5–254.3264.2252.3–274.9
2049235.3218.3–249.9265.2252.8–275.6
2050233.5216.6–253.4263.9249.8–275.1
2051234.9218.6–249.9265.4252.1–275.1
2052234219.4–249.3266.3252.6–276.2
2053234.9219.5–252.5265.2251–275.4
2054237.2219.4–253.1265.2250.2–277.2
2055237.2220.7–256.6266.8251.6–277.6
2056238.8221.2–254.9266.2251.2–277.8
2057235.7218.5–253.8266.8253–278
2058238.8222.8–254.1266.7251.5–277.9
2059241.1224.9–256.2269.8254.7–280.5
2060240.9225.6–255.6271.1253.9–280.7
2061237.9220.6–253.7267.5253.9–281.7
2062239.9221.2–259.7268.1254–281.2
2063239.9222.3–256.1268.9255–280.1
2064240223.8–256.3270254.1–279.8
2065240.9222.9–257.3269.4255.8–282.3
2066241.5224.1–258.6270.6258.1–281
2067241.6224.8–257.9270.7256.1–283
2068242.3224.6–262.1270.2256–283
2069242.8225.4–259.1269.8256.1–283.3
2070240.1225.3–257.1270.1255.8–282.6
2071241.8223.7–260.2271.9257.9–284.4
2072242.6225.4–259.2273.5260.3–283.8
2073243.8228–259.3273.1259.9–285.4
2074241.6226.9–258.4271.9257.5–285.4
2075243.5226.4–258.2271.1256.5–284.7
2076243.2224.6–259.9274.1258.6–285.8
2077243.7226.6–264.6273.4259–286.6
2078246.7230.1–261.5273.1260–284.4
2079244.9226.4–261.3273.3258.7–286.6
2080246.7227–263.7275.5259.4–286.9
2081247.5230.4–264.8274.7259.8–285.6
2082244.6227.9–262.3274.8261.3–286.4
2083247.5227.8–265.1274259.6–289.3
2084247.3228.3–266.8276.8259–288.8
2085246.5227.5–267.1276.2261.5–289.1
2086245.6227.7–266.5275.1260–289.1
2087245.5226.7–266.2276.2260.3–288.5
2088247229.4–266.9276.8261.6–289.7
2089248.1230–266.3275.9260.3–288.8
2090249228.9–266.4275.3260.5–290.5
2091248.9230–266.5277.7260.4–290.9
2092249.8232.3–267.8276.2261.2–290.7
2093248.1229–266.5276.9262–290.1
2094249.1230.6–268.4277262.8–288.9
2095251233.2–270278.4262.3–290.4
2096247.8231.4–269.3277.6260.5–292
2097251.1231.4–268277261–290.2
2098252.3230.8–268.3277.6262.3–291.5
2099248.7230.1–268.3277.9260.8–292.4
2100250.4232.9–266.7277261.8–290.4

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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