Cuba vs Haiti

Cuba vs Haiti: Tropical nights

Tropical nights in 2014: 309.7 nights in Cuba and 298.9 nights in Haiti, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cuba, by 10.8 nights, or 1.04 times that in Haiti.

Watch it change on the map

nights a year · CMIP6

Cuba vs Haiti: Tropical nightsTropical nights in 2014: 309.7 nights in Cuba and 298.9 nights in Haiti, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cuba, by 10.8 nights, or 1.04 times that in Haiti.
CubaHaitiCMIP6 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 Haiti at 346.8 nights in 2100.

Every year

nights a year · CMIP6

YearCubaHaiti
2014309.7298.9
2013315.2301.1
2012312301.5
2011312.1301
2010313298.6
2009308.8298.7
2008309.3296.4
2007308.5293.6
2006309.9294.2
2005309.1295.3
2004309.3298
2003304.6295.4
2002310.4295.6
2001304.8296
2000308.1291
1999304.4290.8
1998304.9291.4
1997299.8288
1996298287
1995295.1283.1
1994297.3282.6
1993294.5278.8
1992295.7277.7
1991299.1286.2
1990302291.1
1989298.1286.3
1988298.3282.7
1987294282.9
1986293.6281
1985297.4277.9
1984289.4277.7
1983292.2276.1
1982294280.4
1981293.6281.3
1980295.8280.2
1979295.1280.2
1978290.9277.8
1977289.3280.4
1976293.4276
1975289275.1
1974291.6278.1
1973291.2278.3
1972289.4276.6
1971286.5275.5
1970283.3272.2
1969287.2275.5
1968290.6274.5
1967289.9275
1966290.7277.8
1965284.8274.1
1964287.7274.8
1963288.9274.2
1962292.9278.6
1961292.2278.2
1960293.3278.2
1959292.7278.6
1958291.6281.6
1957292278
1956294.6277.9
1955293.4280.7
1954289.5277.6
1953289.2276.8
1952290.9279.7
1951292.1277.9
1950292.3276.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCubaHaiti
2015315.1292.1–332.6305.5285.9–322.7
2016317.9302.7–334.8306288.9–319.7
2017317304–329.5307.5292–322.8
2018319.5301–334.2308.8294.3–322.5
2019317.6297.3–336.1307.1290.7–322.4
2020319.5296.6–334.3307.4293.2–321.3
2021320.6301.8–335.1311.8296.6–324.5
2022318.2303.4–331.8312.1298–329.1
2023322.4302.9–336.9311.6297.9–324.7
2024320.1297.1–341.5312.3294.2–326.9
2025319.6297.1–334.8314.6291.3–328.7
2026327.3300.6–343.1316.3297.5–332.3
2027328.7307.3–344.9316.4293.9–332.7
2028327.5306.8–343.5316.4299.6–334.9
2029326.5309–340.3316.5298.3–333.6
2030328.8305–342.3314.8301.6–331.6
2031328.6308.6–343.5317.8303.5–333.7
2032332.1308.4–344.7321.4303.7–333.1
2033328.3305.5–342.9319.5302–332.4
2034329.4308.9–346.2319.5298.9–337.1
2035325.7307.3–342.4322.6304.3–335.1
2036329307–341.7321.3304.1–335.4
2037332.6311.4–346.9325310.6–336
2038331.4313–345.1322305.4–338.2
2039328305.6–345.9322.3305.5–339.8
2040328.8309–347.6324.1309.7–338.7
2041331.4307.4–344.3323.8310.9–339.7
2042331.6309.6–345.1325307.1–339.2
2043332.1311–348.9325.4306.3–339.9
2044335.1315.6–348.6326.8308.2–345.7
2045336.3317.6–348.6327312.5–341.6
2046328.7309–349.2330.7312.9–342.1
2047334.4316.3–350.1327.3313.3–343.2
2048335.2316.3–349.1331.4313.9–344.2
2049339.5317–350.8333.3314.4–344.6
2050338.7316.7–350.6331.2312.1–348
2051337.4313.8–349.8331.4314–342.3
2052331311.8–349.4331.5314.8–346
2053339.5314.6–351.2332.8314.2–342.8
2054338.4322.5–348.7331.7315.8–348.4
2055336.9318.7–350.1331.2317.8–348.8
2056338.1320.4–351.5330317.4–348.3
2057340.6316.7–351.1335.7314–347.6
2058340.8322.3–351.7335.3316.4–350.6
2059334.6319.6–349.6336.7319.6–349
2060340.7320.6–352.9337.6318.4–350
2061337.9324.8–351.5336.4318.8–349.6
2062340.1323.4–351336.1317.5–349.7
2063340.9316.3–354.4338320.8–354
2064341315.6–353.1336.6319.4–350.9
2065340.3319.5–352335.5318.9–349
2066339.5319.3–352.1338.8321.1–351.7
2067342.1324.2–351.9337.2317.8–350.8
2068344.3320.4–354.8340.4321.9–353.8
2069342.8323.8–355.6337.2320.2–351.6
2070344.4322.1–356.2339.5319.8–351.4
2071345326.4–354.8339.8320.1–353.6
2072345318.5–356.3342.6319.9–353.2
2073343.1321.4–355.1340.9320.2–353.6
2074342.9325.4–354.5340.9324.7–353.4
2075341.8319.7–353.7338.8321.7–353.5
2076344.9323.6–356.2344.1322–355.4
2077342320.4–351.9340.8321.6–354
2078345324.3–355.7340.6325.1–354.5
2079343.3323.8–356341.6323.7–354.4
2080344.9328.1–358.4340.3322.6–354.3
2081342.7326–353.6340322.6–353.4
2082344.9329.8–355.4342.4326.5–353.5
2083343.8321.8–354.5342.2326.4–352.5
2084344328.8–356.5345.5326.2–354.6
2085346.4322.1–356.6344325–355.4
2086342.6316.5–352.9344.9326.6–355.1
2087345.5325.6–356.7342.6322.5–354.4
2088346.5325.1–358.5342.5328.2–356.1
2089347.8327.2–357.7345.8326.6–358
2090346.9334.4–356.8343.2328.2–355.8
2091346.9330.1–357.1344.7323.1–357.7
2092346.6327–356346.5326.6–356.5
2093345.4326.9–356.3341.4324.8–356.7
2094347326.3–357.7341.4327.9–355.8
2095343.9329.1–355.1345.6326.2–356.1
2096344326.6–356.1344327.2–358.3
2097346.7329.2–355.1344.2330–356.7
2098347.2326.3–356.6343.8324.3–358.4
2099345.5327.5–357.7346.6323.1–358.1
2100346329.4–356.1346.8326.2–356.3

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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