Egypt vs Indonesia

Egypt vs Indonesia: Tropical nights

Tropical nights in 2014: 145 nights in Egypt and 306.5 nights in Indonesia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 161.5 nights, or 2.11 times that in Egypt.

Watch it change on the map

nights a year · CMIP6

Egypt vs Indonesia: Tropical nightsTropical nights in 2014: 145 nights in Egypt and 306.5 nights in Indonesia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 161.5 nights, or 2.11 times that in Egypt.
EgyptIndonesiaCMIP6 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 Egypt at 183.4 nights and Indonesia at 334.7 nights in 2100.

Every year

nights a year · CMIP6

YearEgyptIndonesia
2014145306.5
2013145306.4
2012145.1306.3
2011144.7304.6
2010143.5305.6
2009140.2303.9
2008142.6303.4
2007140.5302.8
2006139.6302.8
2005140303.1
2004141.3303.8
2003141301.9
2002137.7301.5
2001139302.5
2000134.8300.9
1999135.5300.4
1998133299.1
1997134297.9
1996132.1296.9
1995130.2296.7
1994129.8294.6
1993123.6291.6
1992126.1288.5
1991129.7297.5
1990129.7298.6
1989126296
1988124.3296.5
1987125.8295.6
1986128.9295.8
1985125.7292.8
1984119.4293.4
1983119.4290.1
1982120.7294.4
1981122.6294.8
1980124.9294.5
1979119.2294.1
1978122.6292.4
1977121.3293.4
1976123.2290.8
1975121.9290.7
1974123.1291.5
1973123.5293
1972120.1290.7
1971120.7291.2
1970119.7288.9
1969118.3290.4
1968119.4289.1
1967116.2288.4
1966116.1290.5
1965112.9288.1
1964116.4286.2
1963120.2286.4
1962118.9291.2
1961118.7292.9
1960123.6292.8
1959123.2291.9
1958120.7293.3
1957122.4290.8
1956122.7291.5
1955119.4292.4
1954120.8290
1953121.3291.4
1952120.7291.7
1951121.2291.7
1950118.8291.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEgyptIndonesia
2015149.6131.4–164.2308295.7–315.1
2016147.7133.5–160.2307.5296.9–315.6
2017150.8134.8–163.2308.4295.5–315.6
2018147.4133.4–165.6308.9296.4–316.6
2019149.6132.7–164309.9297.8–316.7
2020150.8136.4–164.7310.9299–318.6
2021152.1137.8–168.1310.4298.7–316.4
2022154138.1–170.6311.4300–319.6
2023154.4139–168.4311.4300.1–320.6
2024155.8141.7–168.5313.2302–321.2
2025154.5139.6–168.1312300.2–321.9
2026155.1144.5–165.9312.6299.9–322.8
2027154.2139.5–166.3312.7301–321.6
2028154.5141.8–168.6313.8302.4–321.9
2029156.3139.9–169.5315.5303.9–324.1
2030156.3143.1–169.1314.2303.1–322.6
2031155.5141.5–171.2314.4301.6–321.9
2032158.3144.6–170.4316.9304.8–325.8
2033159.9143.8–172.9316.6305.4–323.3
2034159.8144.9–173.2315.4303.9–323.9
2035163.5146.6–175.8316.3305.6–327.9
2036156.2143.7–170.6317.7305.2–326.2
2037158.8142.9–173.8318.1306.6–325.2
2038164.9146.1–177.8319.3307.6–326.7
2039161.8146.1–180.1319.4307.7–326.7
2040161.6147.9–176.5318.5306.5–329
2041163.7149.4–177.3320.2308.3–328
2042166.5149.7–180.6320308.7–329.2
2043163.6150.3–176.8318.6306.6–327.8
2044162.2147–178321309–329.6
2045167.2152.5–181320.8308.6–329.8
2046166149–181.1322.8308.8–331
2047165.9151.8–181.5323.2308.8–333
2048167.2154.5–180.1322.3310.5–332.3
2049165.3148.7–177.9323.8311.6–334.1
2050170152.8–183323.3310.3–333.5
2051165.6152.7–179.5323.6311.2–334.4
2052167.3156–180.2325.1311.7–334.7
2053170.1153.6–183.8323.9310.9–333.8
2054169153.3–183324.4311.9–335.4
2055170.5153.5–183.3325.3312.6–335
2056168.3151.2–181.4325.9312.4–337.2
2057166.8150.7–185.3326.9311.9–335.2
2058171.8154.2–188.2326.4313–336.3
2059173.3157.8–188.6326.4313.9–337.8
2060170.5154.8–189.3329.5314.9–338.2
2061170.3155.1–184.6327.9313.6–336.9
2062172.1155.2–185.7327.6312.4–339.1
2063169.7152.8–182.6327.6313.9–339.4
2064172.3155.9–187.2328.8314.4–338.6
2065173.3159.7–189.9327.6314.3–337.9
2066170155–187.7328.6314.7–338.5
2067176.2161.5–190328.8314.3–338
2068174.6157.3–193.1329.8314.4–339.9
2069175.8158.8–191.7329.5315.5–339.3
2070173.3158.3–191.7328.6315.1–338.8
2071176.8158.1–194.7331.4315.5–340.4
2072177.6160.8–192.1330.3315.9–339.4
2073176159.2–189.3331.4317.7–341
2074171.9156.5–194.1329.9316.8–341.1
2075171.8157–191.9330.5315.2–340.2
2076177161–194.6331.5316.2–341.2
2077179.7157–194.1332315.9–341.8
2078178.4161–195331.4318.2–340.9
2079178.2160.2–193.7331.5316.6–341.5
2080178.5163–193.3332.4317.4–343.2
2081177.2160–192.8332.3318.4–341.8
2082178.8164.5–193.3332.8317.8–340.4
2083180.6164.4–195.7333.1318.7–342.6
2084181.4162.4–197.8333317.8–342.7
2085178.8163–196.7332.6318.1–342.7
2086181.9166.6–198.8333.1318.9–342.3
2087178156.4–194.3332.6318–343.2
2088177.8163.5–196334.5319.5–343.1
2089180.9163.5–198.9333.6319–342.6
2090179.9162.4–197.8333.3319.6–343.3
2091184.2165.1–198.9334.5318.2–343.9
2092180.3162.9–196.3335.1319.7–343.6
2093181.1166.1–198.2333.9320–344.9
2094185.4168–198.9335.6320.4–342.8
2095181.9165.5–197.3335.4319.7–343
2096183.1163.5–200.3334.3319.4–346.1
2097181.5165.4–198.9334.2319.5–343.3
2098181.7162.1–198.8334.9319.4–343.4
2099179.9164.2–197.8334.4319.4–344.6
2100183.4162.9–198.1334.7318.7–343.3

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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