Colombia vs Nigeria

Colombia vs Nigeria: Tropical nights

Tropical nights in 2014: 279.9 nights in Colombia and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 24 nights, or 1.09 times that in Colombia.

Watch it change on the map

nights a year · CMIP6

Colombia vs Nigeria: Tropical nightsTropical nights in 2014: 279.9 nights in Colombia and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 24 nights, or 1.09 times that in Colombia.
ColombiaNigeriaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Nigeria 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 Nigeria at 332.3 nights in 2100.

Every year

nights a year · CMIP6

YearColombiaNigeria
2014279.9303.9
2013279.8299.5
2012280.7304.4
2011280301.5
2010279.1301.4
2009279.3297.8
2008278.4297.4
2007277.3298
2006277.5297.2
2005277.7295.4
2004278.2294.1
2003277.5298.4
2002277.3295.2
2001278299.1
2000276.2293.9
1999274.6290.3
1998275.2289.9
1997274.4292.5
1996271.2290
1995271.3289.1
1994270.4287.4
1993268284
1992264.7281.6
1991273.9289.1
1990275.6290.6
1989271.9287.2
1988270.3288
1987271.8285.6
1986271.4289.1
1985268.4284.2
1984268.2284.4
1983265.1281.9
1982269.2283.5
1981272.1286.4
1980270.2282.8
1979269.3283
1978268.3282.8
1977269.6285.9
1976266.1281.7
1975261.6280.4
1974266.6280.7
1973269.9284.3
1972266.6284.1
1971265.7279.3
1970265.4282
1969266278.7
1968264.6279.6
1967261.7278.1
1966263.7279.4
1965263.2279
1964260.3276.8
1963254.8275.1
1962266.7284.1
1961267281.9
1960268.6285.9
1959265.5282.8
1958268281.4
1957267.4283.3
1956263.3280.8
1955267.7280.4
1954267.2284.1
1953267.9280.4
1952268.1280.8
1951267.2284.2
1950266.5279.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearColombiaNigeria
2015280.4265.9–286.4301.7282.9–317.3
2016279.9267.9–285.6301.4280.8–312.5
2017281.7270.6–286.3302.5284.3–316.3
2018281.5271.8–286.3302.2286.8–316.5
2019281.1269.5–286.9300.1281.2–318
2020282.1270.6–287.9303283.7–318.5
2021283.2273.9–287.8305.1287.1–318.4
2022283.7273.6–288.5305.1286–319.5
2023282.6274.2–288.8305286.4–318.9
2024284.7274.7–289.8310.6295.1–321.5
2025283.5273.3–289.7307.5292–319.4
2026283.4272.7–289.7306.9286.1–322.9
2027283.9273.4–289.2307.4288–321.7
2028285275.1–290.7310.7293.4–322.6
2029285.8276–290.3311.4293.3–324.4
2030284.2273.4–289.8310.6294.1–322.5
2031285.8274.8–291.2312.2295–324.8
2032286.7278.3–292.6310290–323.5
2033285.7274.7–290.3313292.9–327
2034285275.8–292.8311.7294.8–325.1
2035285.9277.3–292314.5296.7–327.7
2036286276.9–291.6313.5294.1–326.5
2037287.5279.3–291.9315.6297.9–327.1
2038288279.7–292.4316.9301.2–329.6
2039287.6278.8–292.7315.4299.4–328.2
2040287.6279.3–294.5315.6297.9–327.4
2041288.2279.9–292.7316.8300.6–330.2
2042288.2278.3–295316.3300.3–330.3
2043287.7277.7–293.4316298.4–326
2044287.8278.5–295.1317.9299.5–329.6
2045288.8280.5–293.9316.6300.5–330.4
2046290.4281–295.5317.8302.2–330.7
2047289.9280.6–294.6319.8301.5–333
2048290.7281.4–296.8320.1302.4–331.7
2049290.9282–295.3320.7305.3–331.7
2050290.1280.8–296320.9304–335
2051290.6280.9–295.7321304.1–334.2
2052290.9281.9–296.7320.9303.9–333.5
2053290.5280.8–296.3320.9303.3–334.1
2054290.8281.3–297.2324.5304.5–338.2
2055291.1282.6–298322.2308.4–333.7
2056291.5281.5–298.6324.8305.8–336.3
2057291.5281.2–297.3326310.8–337.3
2058291.8281.7–298.9322.9307.4–334.2
2059292.8282–299.2325.7308.9–339
2060293.2283–300.1323.8307.5–337
2061292.2281.9–298.7324.4307.1–338.2
2062292.6282.4–299.7325.7308–339.3
2063293.6282.3–298.6326.6308.7–337
2064292.7282.9–299.1326.2311–339.8
2065293.8283.6–299.4327.6313.5–339.4
2066293.1283.4–299.8328.4311.3–339.6
2067292.9281.8–299.6326308.4–340.5
2068294.2282.5–300.6329.3311.2–342.9
2069292.9282.4–300326.6309.9–338.1
2070292.9282.8–300.8327.4312.6–340.7
2071294.2282.8–301.5329.1313–341.1
2072294.9285.1–301.9330.3315.9–342.1
2073294.9285.5–302.2326.3309.5–341
2074293.9283.3–300.3326.7311.4–341.4
2075294.1283.2–300.6328.9314.5–341.8
2076294.9284.6–302329.6313.4–342
2077295.3284.3–301.9332.5314.4–343.3
2078294.4285–302329.8312.8–342.1
2079294.8283.7–301.8329.6313.8–340.6
2080295.1283.4–302.8331.7314.1–344.8
2081295.1284.8–302.6329.3311.6–343.7
2082295.1284.9–301.3329.3313.3–341.4
2083295.4284.5–304.6330.4315–342.2
2084296285.1–304.4330.5311.9–344.2
2085296.6285–305332.7316.6–343.6
2086295.6284.8–303.6331.9316.3–343.6
2087295.3284.1–303.4330.7314.9–342.4
2088295.9284.5–305.5331.7313.2–342.7
2089295.6285–304.5331.1318.3–341.9
2090295.7285.8–304.6332.4312.7–343.9
2091297285–304.9333.3311–345.8
2092296.8286–305.7332.7313.8–345.7
2093296.3285.6–305.3334.2318.6–344.9
2094296.4285.8–305334.2317.3–345.6
2095297.9285.6–304.9333.8319.3–346.3
2096296285.9–307.5332.5317.4–346.7
2097296.5284.8–303.4331.8312.6–344.6
2098296.6286–307.3332.3316–343.7
2099297284.6–305.4333316.9–344.2
2100297.4286.5–305.2332.3318.5–345

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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