Haiti vs Venezuela

Haiti vs Venezuela: Tropical nights

Tropical nights in 2014: 298.9 nights in Haiti and 301.6 nights in Venezuela, in the CMIP6 climate models’ median run. In 2014 the value was higher in Venezuela, by 2.7 nights, or 1.01 times that in Haiti.

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nights a year · CMIP6

Haiti vs Venezuela: Tropical nightsTropical nights in 2014: 298.9 nights in Haiti and 301.6 nights in Venezuela, in the CMIP6 climate models’ median run. In 2014 the value was higher in Venezuela, by 2.7 nights, or 1.01 times that in Haiti.
HaitiVenezuelaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Venezuela has been higher since 2004, when it overtook Haiti.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Haiti at 346.8 nights and Venezuela at 345 nights in 2100.

Every year

nights a year · CMIP6

YearHaitiVenezuela
2014298.9301.6
2013301.1302
2012301.5303.7
2011301301.3
2010298.6300.3
2009298.7300
2008296.4298.4
2007293.6296.4
2006294.2296.8
2005295.3296.8
2004298299.4
2003295.4295.2
2002295.6296.3
2001296298.7
2000291292.3
1999290.8291.6
1998291.4291.4
1997288290.5
1996287286.8
1995283.1285.4
1994282.6282.3
1993278.8279.5
1992277.7274.7
1991286.2289.7
1990291.1291.4
1989286.3283.8
1988282.7284.2
1987282.9284.2
1986281284.4
1985277.9278.3
1984277.7279.8
1983276.1274.3
1982280.4280.8
1981281.3283.4
1980280.2280.5
1979280.2281.1
1978277.8278.7
1977280.4281.2
1976276276.6
1975275.1272.3
1974278.1277.7
1973278.3278.9
1972276.6275.9
1971275.5276.5
1970272.2275.6
1969275.5275.6
1968274.5273.2
1967275271.5
1966277.8273.1
1965274.1272.1
1964274.8270.3
1963274.2268.9
1962278.6276.8
1961278.2278.6
1960278.2279.9
1959278.6276.1
1958281.6280.9
1957278277.6
1956277.9275.1
1955280.7277.7
1954277.6277.5
1953276.8277.3
1952279.7278.4
1951277.9277.5
1950276.8275.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearHaitiVenezuela
2015305.5285.9–322.7306.4280.3–320.1
2016306288.9–319.7303.9282.3–316.9
2017307.5292–322.8308.5288.7–319.9
2018308.8294.3–322.5307.6289.9–320.7
2019307.1290.7–322.4306.7288.7–321.7
2020307.4293.2–321.3310.2287.9–323.6
2021311.8296.6–324.5311.3295.3–324.1
2022312.1298–329.1314.4295–326.3
2023311.6297.9–324.7311.5294.4–326.5
2024312.3294.2–326.9316298.2–327.4
2025314.6291.3–328.7313.8294.2–329.5
2026316.3297.5–332.3314290.3–329.4
2027316.4293.9–332.7315.6292.6–328.8
2028316.4299.6–334.9317.7296.4–332.1
2029316.5298.3–333.6319.3296.9–332
2030314.8301.6–331.6317.7295–328.5
2031317.8303.5–333.7320.1295.9–331.8
2032321.4303.7–333.1321.4304.7–335
2033319.5302–332.4320.6301.8–331.2
2034319.5298.9–337.1318.1298.1–335
2035322.6304.3–335.1319.3302.3–335.9
2036321.3304.1–335.4320.5305.3–332.3
2037325310.6–336324.1307.2–334.1
2038322305.4–338.2325.8309.6–336.2
2039322.3305.5–339.8324.3307.9–335.8
2040324.1309.7–338.7323.5307.5–338.7
2041323.8310.9–339.7325.3309.6–336.6
2042325307.1–339.2324.8305.5–341.2
2043325.4306.3–339.9324.2307.1–337.7
2044326.8308.2–345.7324.1306.3–339.8
2045327312.5–341.6327.5309.7–338.6
2046330.7312.9–342.1329.6310.8–340.5
2047327.3313.3–343.2329.5313.9–341.5
2048331.4313.9–344.2331.2313.7–342.8
2049333.3314.4–344.6332.3314.9–340.5
2050331.2312.1–348330.9311.8–343.6
2051331.4314–342.3330.7310.1–344
2052331.5314.8–346332.4316.6–343.5
2053332.8314.2–342.8330.6312.7–343.6
2054331.7315.8–348.4331.9313.8–344.6
2055331.2317.8–348.8333317–345.8
2056330317.4–348.3332.7313.1–347.7
2057335.7314–347.6334.2315.2–345.3
2058335.3316.4–350.6333.5314.3–346.2
2059336.7319.6–349335.6317.1–348.3
2060337.6318.4–350337.4319.4–349
2061336.4318.8–349.6335.3317.3–347.2
2062336.1317.5–349.7335.9315–348.4
2063338320.8–354338317.5–347.9
2064336.6319.4–350.9336.3319.9–347.5
2065335.5318.9–349336.8319.9–349
2066338.8321.1–351.7337.9320.9–349.1
2067337.2317.8–350.8337.5317.9–348.2
2068340.4321.9–353.8339.3317.4–349.4
2069337.2320.2–351.6336.5318.1–349
2070339.5319.8–351.4336.4319.5–349.1
2071339.8320.1–353.6338.9319.1–349.1
2072342.6319.9–353.2340321.8–350.6
2073340.9320.2–353.6340.3322.9–351.4
2074340.9324.7–353.4338.9319.1–349.5
2075338.8321.7–353.5339.5318.1–349.2
2076344.1322–355.4339.8322.6–350.2
2077340.8321.6–354340.3322.1–351
2078340.6325.1–354.5340.2323–351
2079341.6323.7–354.4340.1320.9–351.4
2080340.3322.6–354.3341.4320.2–351.6
2081340322.6–353.4340.7322.5–351.3
2082342.4326.5–353.5341.6323.9–350.1
2083342.2326.4–352.5341.7323.3–353
2084345.5326.2–354.6343.3321.3–352.4
2085344325–355.4344.7322.8–353.5
2086344.9326.6–355.1341.4322.6–352.2
2087342.6322.5–354.4342.5322.4–352.2
2088342.5328.2–356.1342.9322.8–353.6
2089345.8326.6–358342.3324.8–353.1
2090343.2328.2–355.8341.9325.2–352.9
2091344.7323.1–357.7344.3323.4–353.3
2092346.5326.6–356.5344.3324.9–354.2
2093341.4324.8–356.7343324.8–353.6
2094341.4327.9–355.8343.9326.6–352.8
2095345.6326.2–356.1345.4325.4–354.5
2096344327.2–358.3343.7326–355.2
2097344.2330–356.7343.5324.6–351.9
2098343.8324.3–358.4344.5326.1–354.4
2099346.6323.1–358.1344.6324.8–353.8
2100346.8326.2–356.3345328.4–353.9

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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