Colombia vs Egypt

Colombia vs Egypt: Tropical nights

Tropical nights in 2014: 279.9 nights in Colombia and 145 nights in Egypt, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 134.9 nights, or 1.93 times that in Egypt.

nights a year · CMIP6

Colombia vs Egypt: Tropical nightsTropical nights in 2014: 279.9 nights in Colombia and 145 nights in Egypt, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 134.9 nights, or 1.93 times that in Egypt.
ColombiaEgyptCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Colombia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Colombia at 297.4 nights and Egypt at 183.4 nights in 2100.

Every year

nights a year · CMIP6

YearColombiaEgypt
2014279.9145
2013279.8145
2012280.7145.1
2011280144.7
2010279.1143.5
2009279.3140.2
2008278.4142.6
2007277.3140.5
2006277.5139.6
2005277.7140
2004278.2141.3
2003277.5141
2002277.3137.7
2001278139
2000276.2134.8
1999274.6135.5
1998275.2133
1997274.4134
1996271.2132.1
1995271.3130.2
1994270.4129.8
1993268123.6
1992264.7126.1
1991273.9129.7
1990275.6129.7
1989271.9126
1988270.3124.3
1987271.8125.8
1986271.4128.9
1985268.4125.7
1984268.2119.4
1983265.1119.4
1982269.2120.7
1981272.1122.6
1980270.2124.9
1979269.3119.2
1978268.3122.6
1977269.6121.3
1976266.1123.2
1975261.6121.9
1974266.6123.1
1973269.9123.5
1972266.6120.1
1971265.7120.7
1970265.4119.7
1969266118.3
1968264.6119.4
1967261.7116.2
1966263.7116.1
1965263.2112.9
1964260.3116.4
1963254.8120.2
1962266.7118.9
1961267118.7
1960268.6123.6
1959265.5123.2
1958268120.7
1957267.4122.4
1956263.3122.7
1955267.7119.4
1954267.2120.8
1953267.9121.3
1952268.1120.7
1951267.2121.2
1950266.5118.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearColombiaEgypt
2015280.4265.9–286.4149.6131.4–164.2
2016279.9267.9–285.6147.7133.5–160.2
2017281.7270.6–286.3150.8134.8–163.2
2018281.5271.8–286.3147.4133.4–165.6
2019281.1269.5–286.9149.6132.7–164
2020282.1270.6–287.9150.8136.4–164.7
2021283.2273.9–287.8152.1137.8–168.1
2022283.7273.6–288.5154138.1–170.6
2023282.6274.2–288.8154.4139–168.4
2024284.7274.7–289.8155.8141.7–168.5
2025283.5273.3–289.7154.5139.6–168.1
2026283.4272.7–289.7155.1144.5–165.9
2027283.9273.4–289.2154.2139.5–166.3
2028285275.1–290.7154.5141.8–168.6
2029285.8276–290.3156.3139.9–169.5
2030284.2273.4–289.8156.3143.1–169.1
2031285.8274.8–291.2155.5141.5–171.2
2032286.7278.3–292.6158.3144.6–170.4
2033285.7274.7–290.3159.9143.8–172.9
2034285275.8–292.8159.8144.9–173.2
2035285.9277.3–292163.5146.6–175.8
2036286276.9–291.6156.2143.7–170.6
2037287.5279.3–291.9158.8142.9–173.8
2038288279.7–292.4164.9146.1–177.8
2039287.6278.8–292.7161.8146.1–180.1
2040287.6279.3–294.5161.6147.9–176.5
2041288.2279.9–292.7163.7149.4–177.3
2042288.2278.3–295166.5149.7–180.6
2043287.7277.7–293.4163.6150.3–176.8
2044287.8278.5–295.1162.2147–178
2045288.8280.5–293.9167.2152.5–181
2046290.4281–295.5166149–181.1
2047289.9280.6–294.6165.9151.8–181.5
2048290.7281.4–296.8167.2154.5–180.1
2049290.9282–295.3165.3148.7–177.9
2050290.1280.8–296170152.8–183
2051290.6280.9–295.7165.6152.7–179.5
2052290.9281.9–296.7167.3156–180.2
2053290.5280.8–296.3170.1153.6–183.8
2054290.8281.3–297.2169153.3–183
2055291.1282.6–298170.5153.5–183.3
2056291.5281.5–298.6168.3151.2–181.4
2057291.5281.2–297.3166.8150.7–185.3
2058291.8281.7–298.9171.8154.2–188.2
2059292.8282–299.2173.3157.8–188.6
2060293.2283–300.1170.5154.8–189.3
2061292.2281.9–298.7170.3155.1–184.6
2062292.6282.4–299.7172.1155.2–185.7
2063293.6282.3–298.6169.7152.8–182.6
2064292.7282.9–299.1172.3155.9–187.2
2065293.8283.6–299.4173.3159.7–189.9
2066293.1283.4–299.8170155–187.7
2067292.9281.8–299.6176.2161.5–190
2068294.2282.5–300.6174.6157.3–193.1
2069292.9282.4–300175.8158.8–191.7
2070292.9282.8–300.8173.3158.3–191.7
2071294.2282.8–301.5176.8158.1–194.7
2072294.9285.1–301.9177.6160.8–192.1
2073294.9285.5–302.2176159.2–189.3
2074293.9283.3–300.3171.9156.5–194.1
2075294.1283.2–300.6171.8157–191.9
2076294.9284.6–302177161–194.6
2077295.3284.3–301.9179.7157–194.1
2078294.4285–302178.4161–195
2079294.8283.7–301.8178.2160.2–193.7
2080295.1283.4–302.8178.5163–193.3
2081295.1284.8–302.6177.2160–192.8
2082295.1284.9–301.3178.8164.5–193.3
2083295.4284.5–304.6180.6164.4–195.7
2084296285.1–304.4181.4162.4–197.8
2085296.6285–305178.8163–196.7
2086295.6284.8–303.6181.9166.6–198.8
2087295.3284.1–303.4178156.4–194.3
2088295.9284.5–305.5177.8163.5–196
2089295.6285–304.5180.9163.5–198.9
2090295.7285.8–304.6179.9162.4–197.8
2091297285–304.9184.2165.1–198.9
2092296.8286–305.7180.3162.9–196.3
2093296.3285.6–305.3181.1166.1–198.2
2094296.4285.8–305185.4168–198.9
2095297.9285.6–304.9181.9165.5–197.3
2096296285.9–307.5183.1163.5–200.3
2097296.5284.8–303.4181.5165.4–198.9
2098296.6286–307.3181.7162.1–198.8
2099297284.6–305.4179.9164.2–197.8
2100297.4286.5–305.2183.4162.9–198.1

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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