Egypt vs India

Egypt vs India: Tropical nights

Tropical nights in 2014: 145 nights in Egypt and 215.5 nights in India, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 70.5 nights, or 1.49 times that in Egypt.

Watch it change on the map

nights a year · CMIP6

Egypt vs India: Tropical nightsTropical nights in 2014: 145 nights in Egypt and 215.5 nights in India, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 70.5 nights, or 1.49 times that in Egypt.
EgyptIndiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • India has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Egypt at 183.4 nights and India at 250.4 nights in 2100.

Every year

nights a year · CMIP6

YearEgyptIndia
2014145215.5
2013145216
2012145.1217.4
2011144.7215.5
2010143.5215.2
2009140.2213.7
2008142.6213.7
2007140.5213.3
2006139.6212.5
2005140212.9
2004141.3214.9
2003141212.1
2002137.7213
2001139212.2
2000134.8210.8
1999135.5211.9
1998133210.3
1997134209.5
1996132.1207
1995130.2208.8
1994129.8207.1
1993123.6206
1992126.1203.5
1991129.7208
1990129.7209.9
1989126208
1988124.3207.3
1987125.8207.2
1986128.9207.2
1985125.7205.9
1984119.4206.7
1983119.4203.3
1982120.7205.7
1981122.6208.4
1980124.9205.3
1979119.2205.5
1978122.6204.1
1977121.3205.9
1976123.2204.6
1975121.9202.6
1974123.1205.3
1973123.5205.6
1972120.1203.8
1971120.7203.6
1970119.7202.6
1969118.3203.6
1968119.4201.7
1967116.2201.6
1966116.1203.9
1965112.9202.4
1964116.4201.2
1963120.2201.8
1962118.9203.8
1961118.7206.3
1960123.6206
1959123.2206.1
1958120.7204
1957122.4206.5
1956122.7204
1955119.4203.2
1954120.8206
1953121.3204
1952120.7204.4
1951121.2204.3
1950118.8206.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEgyptIndia
2015149.6131.4–164.2216.9202.1–228.4
2016147.7133.5–160.2215202.5–227.6
2017150.8134.8–163.2216.2202.1–228.5
2018147.4133.4–165.6218.3204.5–231.4
2019149.6132.7–164217.4202.3–230.4
2020150.8136.4–164.7217.6203.1–232
2021152.1137.8–168.1219.7204.5–233.2
2022154138.1–170.6220.5205.8–233
2023154.4139–168.4220.4206.4–233.7
2024155.8141.7–168.5222.6208.1–236.3
2025154.5139.6–168.1219.7202.7–236.2
2026155.1144.5–165.9220.2204.2–236.8
2027154.2139.5–166.3223.6207.1–239
2028154.5141.8–168.6222.1205.1–235.7
2029156.3139.9–169.5225.4210–240.3
2030156.3143.1–169.1222.7207.3–235.6
2031155.5141.5–171.2223.8207.1–237.8
2032158.3144.6–170.4225.9210–240.5
2033159.9143.8–172.9223.8209.3–235.4
2034159.8144.9–173.2225.8210–242.7
2035163.5146.6–175.8224.9210.6–240.9
2036156.2143.7–170.6224.2210.4–240.3
2037158.8142.9–173.8228.3213.6–242.6
2038164.9146.1–177.8228.1212.6–241.4
2039161.8146.1–180.1227.4211.9–242.8
2040161.6147.9–176.5227212.2–242
2041163.7149.4–177.3227.1210.7–240.5
2042166.5149.7–180.6229.1214.8–244.2
2043163.6150.3–176.8228.9214.5–244
2044162.2147–178229.7214.7–244.2
2045167.2152.5–181231.2216.6–246.1
2046166149–181.1232.6216.2–248.6
2047165.9151.8–181.5232.4215.5–250
2048167.2154.5–180.1235.6218.5–254.3
2049165.3148.7–177.9235.3218.3–249.9
2050170152.8–183233.5216.6–253.4
2051165.6152.7–179.5234.9218.6–249.9
2052167.3156–180.2234219.4–249.3
2053170.1153.6–183.8234.9219.5–252.5
2054169153.3–183237.2219.4–253.1
2055170.5153.5–183.3237.2220.7–256.6
2056168.3151.2–181.4238.8221.2–254.9
2057166.8150.7–185.3235.7218.5–253.8
2058171.8154.2–188.2238.8222.8–254.1
2059173.3157.8–188.6241.1224.9–256.2
2060170.5154.8–189.3240.9225.6–255.6
2061170.3155.1–184.6237.9220.6–253.7
2062172.1155.2–185.7239.9221.2–259.7
2063169.7152.8–182.6239.9222.3–256.1
2064172.3155.9–187.2240223.8–256.3
2065173.3159.7–189.9240.9222.9–257.3
2066170155–187.7241.5224.1–258.6
2067176.2161.5–190241.6224.8–257.9
2068174.6157.3–193.1242.3224.6–262.1
2069175.8158.8–191.7242.8225.4–259.1
2070173.3158.3–191.7240.1225.3–257.1
2071176.8158.1–194.7241.8223.7–260.2
2072177.6160.8–192.1242.6225.4–259.2
2073176159.2–189.3243.8228–259.3
2074171.9156.5–194.1241.6226.9–258.4
2075171.8157–191.9243.5226.4–258.2
2076177161–194.6243.2224.6–259.9
2077179.7157–194.1243.7226.6–264.6
2078178.4161–195246.7230.1–261.5
2079178.2160.2–193.7244.9226.4–261.3
2080178.5163–193.3246.7227–263.7
2081177.2160–192.8247.5230.4–264.8
2082178.8164.5–193.3244.6227.9–262.3
2083180.6164.4–195.7247.5227.8–265.1
2084181.4162.4–197.8247.3228.3–266.8
2085178.8163–196.7246.5227.5–267.1
2086181.9166.6–198.8245.6227.7–266.5
2087178156.4–194.3245.5226.7–266.2
2088177.8163.5–196247229.4–266.9
2089180.9163.5–198.9248.1230–266.3
2090179.9162.4–197.8249228.9–266.4
2091184.2165.1–198.9248.9230–266.5
2092180.3162.9–196.3249.8232.3–267.8
2093181.1166.1–198.2248.1229–266.5
2094185.4168–198.9249.1230.6–268.4
2095181.9165.5–197.3251233.2–270
2096183.1163.5–200.3247.8231.4–269.3
2097181.5165.4–198.9251.1231.4–268
2098181.7162.1–198.8252.3230.8–268.3
2099179.9164.2–197.8248.7230.1–268.3
2100183.4162.9–198.1250.4232.9–266.7

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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