Guatemala vs Haiti

Guatemala vs Haiti: Tropical nights

Tropical nights in 2014: 171.5 nights in Guatemala and 298.9 nights in Haiti, in the CMIP6 climate models’ median run. In 2014 the value was higher in Haiti, by 127.4 nights, or 1.74 times that in Guatemala.

Watch it change on the map

nights a year · CMIP6

Guatemala vs Haiti: Tropical nightsTropical nights in 2014: 171.5 nights in Guatemala and 298.9 nights in Haiti, in the CMIP6 climate models’ median run. In 2014 the value was higher in Haiti, by 127.4 nights, or 1.74 times that in Guatemala.
GuatemalaHaitiCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Haiti has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Guatemala at 230.9 nights and Haiti at 346.8 nights in 2100.

Every year

nights a year · CMIP6

YearGuatemalaHaiti
2014171.5298.9
2013175.4301.1
2012171.8301.5
2011173.8301
2010171.4298.6
2009169.7298.7
2008167.8296.4
2007167.6293.6
2006167.2294.2
2005169.2295.3
2004167.4298
2003165.8295.4
2002165.7295.6
2001165.3296
2000163.6291
1999162290.8
1998162.1291.4
1997160.7288
1996157.9287
1995153.5283.1
1994155282.6
1993153.5278.8
1992151.7277.7
1991158.2286.2
1990161.9291.1
1989157.5286.3
1988154.2282.7
1987154.7282.9
1986153.1281
1985150.7277.9
1984150.3277.7
1983148.1276.1
1982151.3280.4
1981156.7281.3
1980152.3280.2
1979153280.2
1978149.5277.8
1977150.6280.4
1976151.6276
1975147.4275.1
1974150.2278.1
1973149.6278.3
1972148.2276.6
1971145.5275.5
1970145.4272.2
1969146.8275.5
1968146.7274.5
1967142.7275
1966145.9277.8
1965143.3274.1
1964143274.8
1963144.6274.2
1962149.5278.6
1961149.8278.2
1960151.4278.2
1959147.4278.6
1958150.5281.6
1957151.1278
1956148.2277.9
1955152.5280.7
1954150.4277.6
1953149.3276.8
1952150.3279.7
1951151.8277.9
1950148.6276.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGuatemalaHaiti
2015177158.4–194.6305.5285.9–322.7
2016178.5161.5–195.5306288.9–319.7
2017182.8166.6–194.9307.5292–322.8
2018180.2165–196.4308.8294.3–322.5
2019181.7159.3–199.5307.1290.7–322.4
2020184.1161.8–198.6307.4293.2–321.3
2021184.4168.1–201.1311.8296.6–324.5
2022184.6165.7–198.4312.1298–329.1
2023186.3171.1–207311.6297.9–324.7
2024187.1169.9–207.3312.3294.2–326.9
2025187.4169.7–205.6314.6291.3–328.7
2026190.9167.9–211316.3297.5–332.3
2027188.4171.9–210.9316.4293.9–332.7
2028191.3175.8–208.5316.4299.6–334.9
2029192.7175.6–208.8316.5298.3–333.6
2030191173.3–207.9314.8301.6–331.6
2031193.6175.3–211.4317.8303.5–333.7
2032196.4178.7–214.8321.4303.7–333.1
2033193.3174.6–208.5319.5302–332.4
2034193.5176.2–214.4319.5298.9–337.1
2035193.4177.7–212.8322.6304.3–335.1
2036194.4180.5–212.8321.3304.1–335.4
2037199.1180–216.2325310.6–336
2038202.6184.8–216.7322305.4–338.2
2039199181.6–217.6322.3305.5–339.8
2040200.3182.9–217.9324.1309.7–338.7
2041200.7182.1–218.2323.8310.9–339.7
2042201.6180.3–222.1325307.1–339.2
2043201.7182.3–226.4325.4306.3–339.9
2044200.8184.9–222.3326.8308.2–345.7
2045203.6188.7–225.1327312.5–341.6
2046204.5183.3–227.5330.7312.9–342.1
2047207.5190.3–227.5327.3313.3–343.2
2048208.2188.9–229.4331.4313.9–344.2
2049210.1188.7–227.4333.3314.4–344.6
2050211.4188–230.7331.2312.1–348
2051208.1192.7–229.2331.4314–342.3
2052207.7193–227.9331.5314.8–346
2053209.8186.4–233.2332.8314.2–342.8
2054209.5194.7–233.2331.7315.8–348.4
2055212.4196.2–231.9331.2317.8–348.8
2056210.9193.3–233.1330317.4–348.3
2057213.3193.7–232.4335.7314–347.6
2058211.7192.3–238.1335.3316.4–350.6
2059214.5190.4–237.4336.7319.6–349
2060217.4196.4–237.3337.6318.4–350
2061213.9193.7–237.1336.4318.8–349.6
2062216.3194–237.3336.1317.5–349.7
2063217.2197–240.8338320.8–354
2064214.5196.1–236.1336.6319.4–350.9
2065217.3195.2–238.2335.5318.9–349
2066217.9195.2–240338.8321.1–351.7
2067216.4194.1–241.1337.2317.8–350.8
2068221200.2–243.4340.4321.9–353.8
2069219.9200.5–241.9337.2320.2–351.6
2070219.6199.9–242.6339.5319.8–351.4
2071222.5203.4–243339.8320.1–353.6
2072225.6200.4–247.6342.6319.9–353.2
2073224.4199.9–248.3340.9320.2–353.6
2074222.5202.2–245.9340.9324.7–353.4
2075220.2198.7–242.6338.8321.7–353.5
2076222.9195.4–247.7344.1322–355.4
2077225.2198.3–245.9340.8321.6–354
2078225.4197.8–245.9340.6325.1–354.5
2079223.4199.3–248.2341.6323.7–354.4
2080223.4201–250.7340.3322.6–354.3
2081224202.5–246.6340322.6–353.4
2082224.8201.3–245.9342.4326.5–353.5
2083225202.3–250.5342.2326.4–352.5
2084227.9204.9–249.9345.5326.2–354.6
2085227.7199.2–251.3344325–355.4
2086224.9202.3–249.6344.9326.6–355.1
2087227.1197.8–249.7342.6322.5–354.4
2088230.6207.4–255.5342.5328.2–356.1
2089229.7207.4–251.4345.8326.6–358
2090228.2210–253.4343.2328.2–355.8
2091231.4206.6–255.4344.7323.1–357.7
2092230.1207.4–253.4346.5326.6–356.5
2093226.7206–255.5341.4324.8–356.7
2094227.3204.4–251.7341.4327.9–355.8
2095231.1207.7–255.5345.6326.2–356.1
2096229.9206.3–255.5344327.2–358.3
2097226.7208.6–249.5344.2330–356.7
2098231.1202.9–259.1343.8324.3–358.4
2099230.2203.1–256.5346.6323.1–358.1
2100230.9208.9–255.1346.8326.2–356.3

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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