Colombia vs Cuba

Colombia vs Cuba: Tropical nights

Tropical nights in 2014: 279.9 nights in Colombia and 309.7 nights in Cuba, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cuba, by 29.8 nights, or 1.11 times that in Colombia.

Watch it change on the map

nights a year · CMIP6

Colombia vs Cuba: Tropical nightsTropical nights in 2014: 279.9 nights in Colombia and 309.7 nights in Cuba, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cuba, by 29.8 nights, or 1.11 times that in Colombia.
ColombiaCubaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Cuba 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 Cuba at 346 nights in 2100.

Every year

nights a year · CMIP6

YearColombiaCuba
2014279.9309.7
2013279.8315.2
2012280.7312
2011280312.1
2010279.1313
2009279.3308.8
2008278.4309.3
2007277.3308.5
2006277.5309.9
2005277.7309.1
2004278.2309.3
2003277.5304.6
2002277.3310.4
2001278304.8
2000276.2308.1
1999274.6304.4
1998275.2304.9
1997274.4299.8
1996271.2298
1995271.3295.1
1994270.4297.3
1993268294.5
1992264.7295.7
1991273.9299.1
1990275.6302
1989271.9298.1
1988270.3298.3
1987271.8294
1986271.4293.6
1985268.4297.4
1984268.2289.4
1983265.1292.2
1982269.2294
1981272.1293.6
1980270.2295.8
1979269.3295.1
1978268.3290.9
1977269.6289.3
1976266.1293.4
1975261.6289
1974266.6291.6
1973269.9291.2
1972266.6289.4
1971265.7286.5
1970265.4283.3
1969266287.2
1968264.6290.6
1967261.7289.9
1966263.7290.7
1965263.2284.8
1964260.3287.7
1963254.8288.9
1962266.7292.9
1961267292.2
1960268.6293.3
1959265.5292.7
1958268291.6
1957267.4292
1956263.3294.6
1955267.7293.4
1954267.2289.5
1953267.9289.2
1952268.1290.9
1951267.2292.1
1950266.5292.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearColombiaCuba
2015280.4265.9–286.4315.1292.1–332.6
2016279.9267.9–285.6317.9302.7–334.8
2017281.7270.6–286.3317304–329.5
2018281.5271.8–286.3319.5301–334.2
2019281.1269.5–286.9317.6297.3–336.1
2020282.1270.6–287.9319.5296.6–334.3
2021283.2273.9–287.8320.6301.8–335.1
2022283.7273.6–288.5318.2303.4–331.8
2023282.6274.2–288.8322.4302.9–336.9
2024284.7274.7–289.8320.1297.1–341.5
2025283.5273.3–289.7319.6297.1–334.8
2026283.4272.7–289.7327.3300.6–343.1
2027283.9273.4–289.2328.7307.3–344.9
2028285275.1–290.7327.5306.8–343.5
2029285.8276–290.3326.5309–340.3
2030284.2273.4–289.8328.8305–342.3
2031285.8274.8–291.2328.6308.6–343.5
2032286.7278.3–292.6332.1308.4–344.7
2033285.7274.7–290.3328.3305.5–342.9
2034285275.8–292.8329.4308.9–346.2
2035285.9277.3–292325.7307.3–342.4
2036286276.9–291.6329307–341.7
2037287.5279.3–291.9332.6311.4–346.9
2038288279.7–292.4331.4313–345.1
2039287.6278.8–292.7328305.6–345.9
2040287.6279.3–294.5328.8309–347.6
2041288.2279.9–292.7331.4307.4–344.3
2042288.2278.3–295331.6309.6–345.1
2043287.7277.7–293.4332.1311–348.9
2044287.8278.5–295.1335.1315.6–348.6
2045288.8280.5–293.9336.3317.6–348.6
2046290.4281–295.5328.7309–349.2
2047289.9280.6–294.6334.4316.3–350.1
2048290.7281.4–296.8335.2316.3–349.1
2049290.9282–295.3339.5317–350.8
2050290.1280.8–296338.7316.7–350.6
2051290.6280.9–295.7337.4313.8–349.8
2052290.9281.9–296.7331311.8–349.4
2053290.5280.8–296.3339.5314.6–351.2
2054290.8281.3–297.2338.4322.5–348.7
2055291.1282.6–298336.9318.7–350.1
2056291.5281.5–298.6338.1320.4–351.5
2057291.5281.2–297.3340.6316.7–351.1
2058291.8281.7–298.9340.8322.3–351.7
2059292.8282–299.2334.6319.6–349.6
2060293.2283–300.1340.7320.6–352.9
2061292.2281.9–298.7337.9324.8–351.5
2062292.6282.4–299.7340.1323.4–351
2063293.6282.3–298.6340.9316.3–354.4
2064292.7282.9–299.1341315.6–353.1
2065293.8283.6–299.4340.3319.5–352
2066293.1283.4–299.8339.5319.3–352.1
2067292.9281.8–299.6342.1324.2–351.9
2068294.2282.5–300.6344.3320.4–354.8
2069292.9282.4–300342.8323.8–355.6
2070292.9282.8–300.8344.4322.1–356.2
2071294.2282.8–301.5345326.4–354.8
2072294.9285.1–301.9345318.5–356.3
2073294.9285.5–302.2343.1321.4–355.1
2074293.9283.3–300.3342.9325.4–354.5
2075294.1283.2–300.6341.8319.7–353.7
2076294.9284.6–302344.9323.6–356.2
2077295.3284.3–301.9342320.4–351.9
2078294.4285–302345324.3–355.7
2079294.8283.7–301.8343.3323.8–356
2080295.1283.4–302.8344.9328.1–358.4
2081295.1284.8–302.6342.7326–353.6
2082295.1284.9–301.3344.9329.8–355.4
2083295.4284.5–304.6343.8321.8–354.5
2084296285.1–304.4344328.8–356.5
2085296.6285–305346.4322.1–356.6
2086295.6284.8–303.6342.6316.5–352.9
2087295.3284.1–303.4345.5325.6–356.7
2088295.9284.5–305.5346.5325.1–358.5
2089295.6285–304.5347.8327.2–357.7
2090295.7285.8–304.6346.9334.4–356.8
2091297285–304.9346.9330.1–357.1
2092296.8286–305.7346.6327–356
2093296.3285.6–305.3345.4326.9–356.3
2094296.4285.8–305347326.3–357.7
2095297.9285.6–304.9343.9329.1–355.1
2096296285.9–307.5344326.6–356.1
2097296.5284.8–303.4346.7329.2–355.1
2098296.6286–307.3347.2326.3–356.6
2099297284.6–305.4345.5327.5–357.7
2100297.4286.5–305.2346329.4–356.1

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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