Bolivia vs Haiti

Bolivia vs Haiti: Tropical nights

Tropical nights in 2014: 179.5 nights in Bolivia and 298.9 nights in Haiti, in the CMIP6 climate models’ median run. In 2014 the value was higher in Haiti, by 119.4 nights, or 1.67 times that in Bolivia.

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nights a year · CMIP6

Bolivia vs Haiti: Tropical nightsTropical nights in 2014: 179.5 nights in Bolivia and 298.9 nights in Haiti, in the CMIP6 climate models’ median run. In 2014 the value was higher in Haiti, by 119.4 nights, or 1.67 times that in Bolivia.
BoliviaHaitiCMIP6 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 Bolivia at 210.8 nights and Haiti at 346.8 nights in 2100.

Every year

nights a year · CMIP6

YearBoliviaHaiti
2014179.5298.9
2013176.3301.1
2012177301.5
2011177.2301
2010176.7298.6
2009175.9298.7
2008174.1296.4
2007169293.6
2006169.8294.2
2005170.5295.3
2004175.5298
2003170.6295.4
2002173.3295.6
2001172.9296
2000169291
1999167.3290.8
1998170.7291.4
1997167.7288
1996163.3287
1995164.4283.1
1994162.7282.6
1993160.4278.8
1992155.4277.7
1991169.7286.2
1990172291.1
1989164.4286.3
1988161.5282.7
1987162.5282.9
1986163.8281
1985157.8277.9
1984159.8277.7
1983156.8276.1
1982164.2280.4
1981166.5281.3
1980162.2280.2
1979162.7280.2
1978161.1277.8
1977161280.4
1976160.1276
1975155.5275.1
1974160.5278.1
1973160.5278.3
1972158.8276.6
1971156.7275.5
1970155.1272.2
1969155.7275.5
1968155.9274.5
1967153.3275
1966156.7277.8
1965154.2274.1
1964150.7274.8
1963148.4274.2
1962157.9278.6
1961158.7278.2
1960160.3278.2
1959159278.6
1958157.5281.6
1957159.3278
1956154.5277.9
1955160.3280.7
1954159.7277.6
1953157.8276.8
1952159.1279.7
1951157.6277.9
1950158.6276.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBoliviaHaiti
2015177.7162.4–194.8305.5285.9–322.7
2016177.1155.9–190.7306288.9–319.7
2017179.6164.6–190.9307.5292–322.8
2018177.8162.1–196.3308.8294.3–322.5
2019180.1164.5–199.9307.1290.7–322.4
2020180.5162–200.6307.4293.2–321.3
2021185.6169.2–197.3311.8296.6–324.5
2022184.7165.7–200.5312.1298–329.1
2023181.3166.6–196.7311.6297.9–324.7
2024187.1168.2–202.1312.3294.2–326.9
2025183.5168.8–195.7314.6291.3–328.7
2026182.5164.8–198.1316.3297.5–332.3
2027182.7165–201.6316.4293.9–332.7
2028186.3169.6–200.3316.4299.6–334.9
2029192.5175.6–205.4316.5298.3–333.6
2030185.5161.7–204.2314.8301.6–331.6
2031189.2166.2–205.3317.8303.5–333.7
2032189.7173.8–209.6321.4303.7–333.1
2033188.2167.7–204.1319.5302–332.4
2034188172.2–207.8319.5298.9–337.1
2035186.7169.1–206.1322.6304.3–335.1
2036190.5173.5–205.2321.3304.1–335.4
2037195.3181.4–208.5325310.6–336
2038189.2174.7–207.8322305.4–338.2
2039192.7175.7–205.5322.3305.5–339.8
2040192.3176.8–204.2324.1309.7–338.7
2041193.9179–209323.8310.9–339.7
2042191.3171.9–207.6325307.1–339.2
2043191.2174.4–209.9325.4306.3–339.9
2044194.5179.1–209.4326.8308.2–345.7
2045194.4180.2–209327312.5–341.6
2046194.8181.4–213330.7312.9–342.1
2047196.5181.4–213.3327.3313.3–343.2
2048200.2184.6–212.8331.4313.9–344.2
2049199.8181.3–214.4333.3314.4–344.6
2050196.3173.9–210.9331.2312.1–348
2051198.5184.2–213.3331.4314–342.3
2052200.6185.7–214.8331.5314.8–346
2053198182.1–211332.8314.2–342.8
2054195.9179.8–211331.7315.8–348.4
2055201.2187.1–215331.2317.8–348.8
2056201.3181.5–216.1330317.4–348.3
2057200.6184.3–214.4335.7314–347.6
2058200.8182.8–216.5335.3316.4–350.6
2059203.2186.1–215.8336.7319.6–349
2060203.4186.2–219.7337.6318.4–350
2061197.9184–216.3336.4318.8–349.6
2062201.4186.2–219.1336.1317.5–349.7
2063201.5184.9–217338320.8–354
2064200.5184.6–216.1336.6319.4–350.9
2065204.9187.3–218.4335.5318.9–349
2066203.3186.8–218.1338.8321.1–351.7
2067203.6187.7–215.6337.2317.8–350.8
2068204.4188–218340.4321.9–353.8
2069203.8184.5–219337.2320.2–351.6
2070205.1188.3–221.4339.5319.8–351.4
2071203186.9–214.6339.8320.1–353.6
2072206186.6–221.5342.6319.9–353.2
2073206.5193.2–220.7340.9320.2–353.6
2074204.5184.1–219.5340.9324.7–353.4
2075203.8185.8–217.9338.8321.7–353.5
2076206.5190.1–220.4344.1322–355.4
2077209.1185.4–221.4340.8321.6–354
2078208.1192.7–222.9340.6325.1–354.5
2079204.7186.2–218.6341.6323.7–354.4
2080208.7192.4–221.1340.3322.6–354.3
2081208.1190.7–221.1340322.6–353.4
2082208.2189.7–220.1342.4326.5–353.5
2083209.3192.8–222.6342.2326.4–352.5
2084208.2193.3–223.1345.5326.2–354.6
2085210.4194–225344325–355.4
2086210.4189.7–225.4344.9326.6–355.1
2087207.9193.8–222342.6322.5–354.4
2088210.3193.4–225.2342.5328.2–356.1
2089208.2191.3–222.9345.8326.6–358
2090209.7195.5–225.2343.2328.2–355.8
2091209.7192.5–227.1344.7323.1–357.7
2092209.8192.1–223.9346.5326.6–356.5
2093209.4195.7–222.1341.4324.8–356.7
2094208.9194.6–222.7341.4327.9–355.8
2095210.3191.2–225.3345.6326.2–356.1
2096211.6193.9–225344327.2–358.3
2097208.6189.8–220.3344.2330–356.7
2098211.7196.2–226.5343.8324.3–358.4
2099211.2195.3–224346.6323.1–358.1
2100210.8195.8–226.8346.8326.2–356.3

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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