Cuba vs Ecuador

Cuba vs Ecuador: Tropical nights

Tropical nights in 2014: 309.7 nights in Cuba and 192 nights in Ecuador, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cuba, by 117.7 nights, or 1.61 times that in Ecuador.

Watch it change on the map

nights a year · CMIP6

Cuba vs Ecuador: Tropical nightsTropical nights in 2014: 309.7 nights in Cuba and 192 nights in Ecuador, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cuba, by 117.7 nights, or 1.61 times that in Ecuador.
CubaEcuadorCMIP6 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 Cuba at 346 nights and Ecuador at 223.3 nights in 2100.

Every year

nights a year · CMIP6

YearCubaEcuador
2014309.7192
2013315.2192.7
2012312195.6
2011312.1193.5
2010313191.9
2009308.8190.7
2008309.3190.2
2007308.5188.3
2006309.9186
2005309.1187.4
2004309.3190
2003304.6188.3
2002310.4187.2
2001304.8189
2000308.1185.3
1999304.4181.4
1998304.9182.7
1997299.8182.4
1996298176.2
1995295.1174.9
1994297.3175.8
1993294.5170.8
1992295.7166.2
1991299.1179.8
1990302184.5
1989298.1178.8
1988298.3173.9
1987294177.8
1986293.6177.2
1985297.4172
1984289.4172.1
1983292.2166.8
1982294170.8
1981293.6177.4
1980295.8173.2
1979295.1172.1
1978290.9172.3
1977289.3172
1976293.4170
1975289163.9
1974291.6169.4
1973291.2173.3
1972289.4169.5
1971286.5167.5
1970283.3169.8
1969287.2167.4
1968290.6168.5
1967289.9159.5
1966290.7162.2
1965284.8163.3
1964287.7161.2
1963288.9151.1
1962292.9168.6
1961292.2169.5
1960293.3172.4
1959292.7167.3
1958291.6170.7
1957292171.4
1956294.6164
1955293.4169
1954289.5169.5
1953289.2169.6
1952290.9170.3
1951292.1171.7
1950292.3169.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCubaEcuador
2015315.1292.1–332.6193.3172.3–205.7
2016317.9302.7–334.8192.7172.2–203.6
2017317304–329.5195.3178.7–206.8
2018319.5301–334.2194.8178–206.5
2019317.6297.3–336.1193.3173.9–207.6
2020319.5296.6–334.3196.2179.1–208
2021320.6301.8–335.1198.7183.8–209
2022318.2303.4–331.8200.5181.4–209.9
2023322.4302.9–336.9198.3180.6–210.1
2024320.1297.1–341.5201.5181.4–210.7
2025319.6297.1–334.8199.9180–212
2026327.3300.6–343.1200.2180.5–211.7
2027328.7307.3–344.9199.8181.7–210.8
2028327.5306.8–343.5203.4187–212.4
2029326.5309–340.3204.6189.9–213
2030328.8305–342.3200.4183–212.8
2031328.6308.6–343.5204.9187.3–214.1
2032332.1308.4–344.7205.8191.8–216.5
2033328.3305.5–342.9203.3184.3–213.1
2034329.4308.9–346.2203.3189.6–218.3
2035325.7307.3–342.4204.3187.8–214.4
2036329307–341.7204.8189.9–214.6
2037332.6311.4–346.9207.9195.6–216.5
2038331.4313–345.1208.5195.8–216.1
2039328305.6–345.9206.5190.8–217.1
2040328.8309–347.6208.7193.7–219.1
2041331.4307.4–344.3208.8194.8–218.1
2042331.6309.6–345.1208.6192.5–219.7
2043332.1311–348.9207.2192.5–217.3
2044335.1315.6–348.6207190.4–220.2
2045336.3317.6–348.6209.7196–219
2046328.7309–349.2213.1196.1–221.1
2047334.4316.3–350.1211.9198.3–219.3
2048335.2316.3–349.1214.1200.7–222.9
2049339.5317–350.8212.8200–221
2050338.7316.7–350.6211.6197.6–222.2
2051337.4313.8–349.8213.8197.8–221.4
2052331311.8–349.4213.3202.2–222.7
2053339.5314.6–351.2212.5198.8–221.7
2054338.4322.5–348.7213.5201–224.3
2055336.9318.7–350.1213.9203–224.9
2056338.1320.4–351.5215.6199.8–223.9
2057340.6316.7–351.1214.5198.6–224
2058340.8322.3–351.7215.1199.9–225.9
2059334.6319.6–349.6217.2200.1–225.2
2060340.7320.6–352.9217.1204.7–226.8
2061337.9324.8–351.5215.6201.9–225.8
2062340.1323.4–351216.8201.4–226.9
2063340.9316.3–354.4217202.6–226.3
2064341315.6–353.1216.7203–225
2065340.3319.5–352217.7204.7–227
2066339.5319.3–352.1217.2205.6–227.3
2067342.1324.2–351.9217.4201.5–226.7
2068344.3320.4–354.8218.9203.9–228.3
2069342.8323.8–355.6216.8201.7–228
2070344.4322.1–356.2216.8204.3–228.3
2071345326.4–354.8219.5205.5–228.7
2072345318.5–356.3220208.3–229
2073343.1321.4–355.1219.5208.1–230.7
2074342.9325.4–354.5218.4202.8–228
2075341.8319.7–353.7218.8203.6–227.8
2076344.9323.6–356.2220.7207.7–229.9
2077342320.4–351.9220.7206.9–230.5
2078345324.3–355.7220207.5–231
2079343.3323.8–356220.4205.4–229.2
2080344.9328.1–358.4220.2204.8–230.7
2081342.7326–353.6220.2205.5–230.9
2082344.9329.8–355.4220.1207.8–229.2
2083343.8321.8–354.5221.5208.5–232.9
2084344328.8–356.5222.3207.1–232.6
2085346.4322.1–356.6222.4208.4–234.3
2086342.6316.5–352.9219.9207.1–232.4
2087345.5325.6–356.7220.9206.1–231.9
2088346.5325.1–358.5221.7206.1–234.8
2089347.8327.2–357.7221.3206.9–232.8
2090346.9334.4–356.8221.6208.8–234.3
2091346.9330.1–357.1223.8207.5–233.5
2092346.6327–356222.7209.7–234.9
2093345.4326.9–356.3221.7208.7–235.5
2094347326.3–357.7223209.9–234.4
2095343.9329.1–355.1223.9209.9–235.4
2096344326.6–356.1221.9209.7–237.3
2097346.7329.2–355.1221.6208.4–232.3
2098347.2326.3–356.6222.1210.2–238.2
2099345.5327.5–357.7222.2207.1–234.4
2100346329.4–356.1223.3209.1–235.3

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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