Colombia vs Congo - Kinshasa

Colombia vs Congo - Kinshasa: Tropical nights

Tropical nights in 2014: 279.9 nights in Colombia and 248.5 nights in Congo - Kinshasa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 31.4 nights, or 1.13 times that in Congo - Kinshasa.

nights a year · CMIP6

Colombia vs Congo - Kinshasa: Tropical nightsTropical nights in 2014: 279.9 nights in Colombia and 248.5 nights in Congo - Kinshasa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 31.4 nights, or 1.13 times that in Congo - Kinshasa.
ColombiaCongo - KinshasaCMIP6 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 Congo - Kinshasa at 324.1 nights in 2100.

Every year

nights a year · CMIP6

YearColombiaCongo - Kinshasa
2014279.9248.5
2013279.8249.2
2012280.7250.9
2011280248.7
2010279.1243.5
2009279.3243
2008278.4239.7
2007277.3237.7
2006277.5239
2005277.7237.3
2004278.2238.5
2003277.5239.3
2002277.3236.5
2001278242.5
2000276.2233.5
1999274.6226.2
1998275.2230.6
1997274.4226.6
1996271.2218.6
1995271.3217.2
1994270.4211.9
1993268201.5
1992264.7197.6
1991273.9220.1
1990275.6225.4
1989271.9218.4
1988270.3216.7
1987271.8216.6
1986271.4216.8
1985268.4206.1
1984268.2205.9
1983265.1204.3
1982269.2204.5
1981272.1215.2
1980270.2211.4
1979269.3208.5
1978268.3202.6
1977269.6206.5
1976266.1201.9
1975261.6199
1974266.6204
1973269.9208.4
1972266.6202.5
1971265.7196.3
1970265.4201.7
1969266197.3
1968264.6199
1967261.7188.8
1966263.7194.7
1965263.2189
1964260.3177.3
1963254.8178.5
1962266.7203.2
1961267203.9
1960268.6209.8
1959265.5203.3
1958268204.3
1957267.4204
1956263.3197.6
1955267.7200.5
1954267.2201
1953267.9204.6
1952268.1201.9
1951267.2204.8
1950266.5200.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearColombiaCongo - Kinshasa
2015280.4265.9–286.4256.6217.3–277.7
2016279.9267.9–285.6247.7213.3–269.3
2017281.7270.6–286.3257.4226.6–278.3
2018281.5271.8–286.3258.8228.1–276.8
2019281.1269.5–286.9255.8222.6–278.7
2020282.1270.6–287.9259.4227.4–282.3
2021283.2273.9–287.8262.6234.7–283.8
2022283.7273.6–288.5264.8235.1–288.5
2023282.6274.2–288.8263.9236.8–287.2
2024284.7274.7–289.8270.9237.9–290
2025283.5273.3–289.7266.1230.6–292.2
2026283.4272.7–289.7267.4226.8–294.5
2027283.9273.4–289.2268.6230.6–293.6
2028285275.1–290.7271.7239.7–295.9
2029285.8276–290.3275.9249.3–296.6
2030284.2273.4–289.8270.4241.7–296.1
2031285.8274.8–291.2279.4246.6–297.5
2032286.7278.3–292.6277.9249.4–302.3
2033285.7274.7–290.3276.9245.9–301.6
2034285275.8–292.8276.7247.4–305.6
2035285.9277.3–292281243.7–305.1
2036286276.9–291.6278.3244.7–304.9
2037287.5279.3–291.9286.9256.1–308.6
2038288279.7–292.4289261.5–307.1
2039287.6278.8–292.7284.7253.4–307.3
2040287.6279.3–294.5284.5254.7–311.5
2041288.2279.9–292.7289.9258.4–310.8
2042288.2278.3–295286.9254.1–314.3
2043287.7277.7–293.4285.9253–313
2044287.8278.5–295.1288.3253.6–312.5
2045288.8280.5–293.9289.4260.1–314.1
2046290.4281–295.5298.3261.3–317.3
2047289.9280.6–294.6298.5268.2–317.8
2048290.7281.4–296.8299.1268–320.8
2049290.9282–295.3300.3269.6–320.4
2050290.1280.8–296297.8267.2–320.6
2051290.6280.9–295.7298.4272.3–323.1
2052290.9281.9–296.7300.2271.5–324
2053290.5280.8–296.3298.7265.5–322.6
2054290.8281.3–297.2300.6269.6–322.8
2055291.1282.6–298301.9274.9–325.6
2056291.5281.5–298.6302.1266.2–328.3
2057291.5281.2–297.3305.1274.4–326.5
2058291.8281.7–298.9305.3274.1–327.1
2059292.8282–299.2305.4279–329.6
2060293.2283–300.1310.7273.5–330.2
2061292.2281.9–298.7307266.1–329.8
2062292.6282.4–299.7308.8269.1–332
2063293.6282.3–298.6308.4277.6–328.4
2064292.7282.9–299.1310.6278.4–329.6
2065293.8283.6–299.4311.9282.4–331.2
2066293.1283.4–299.8310.4284.2–330.3
2067292.9281.8–299.6308.8275.9–334
2068294.2282.5–300.6313.9280.8–334.6
2069292.9282.4–300312.1270.6–332.7
2070292.9282.8–300.8309.6278–334
2071294.2282.8–301.5312.6285–336.5
2072294.9285.1–301.9317287.7–334.6
2073294.9285.5–302.2316.2291.2–337.1
2074293.9283.3–300.3311.6284.5–334.9
2075294.1283.2–300.6312.3279.3–335.2
2076294.9284.6–302315.9288.7–337.1
2077295.3284.3–301.9318.5292.6–338.2
2078294.4285–302315287.3–337.1
2079294.8283.7–301.8314.8286.3–336
2080295.1283.4–302.8318.5286.8–337.8
2081295.1284.8–302.6318.4287.8–336.7
2082295.1284.9–301.3318.7289.8–336.5
2083295.4284.5–304.6317.4290.6–340.9
2084296285.1–304.4321.6293.8–339.8
2085296.6285–305324.4294.3–341.4
2086295.6284.8–303.6319290.7–340.7
2087295.3284.1–303.4318.3291.9–339.6
2088295.9284.5–305.5320.9292.9–340
2089295.6285–304.5322.1293.9–339.8
2090295.7285.8–304.6320.4295.5–341.7
2091297285–304.9325.4294.3–343.3
2092296.8286–305.7321.5294.4–342.4
2093296.3285.6–305.3323.1297.8–341.2
2094296.4285.8–305323.1296.5–341.1
2095297.9285.6–304.9325.6299.1–343.7
2096296285.9–307.5321.8296.2–344.1
2097296.5284.8–303.4321.5292.6–342
2098296.6286–307.3324.2295.1–342.8
2099297284.6–305.4322.8293.7–344.6
2100297.4286.5–305.2324.1292.1–344.1

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

Colombia vs Congo - Kinshasa

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment