Brazil vs Guatemala

Brazil vs Guatemala: Tropical nights

Tropical nights in 2014: 282 nights in Brazil and 171.5 nights in Guatemala, in the CMIP6 climate models’ median run. In 2014 the value was higher in Brazil, by 110.5 nights, or 1.64 times that in Guatemala.

Watch it change on the map

nights a year · CMIP6

Brazil vs Guatemala: Tropical nightsTropical nights in 2014: 282 nights in Brazil and 171.5 nights in Guatemala, in the CMIP6 climate models’ median run. In 2014 the value was higher in Brazil, by 110.5 nights, or 1.64 times that in Guatemala.
BrazilGuatemalaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Brazil has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Brazil at 317.3 nights and Guatemala at 230.9 nights in 2100.

Every year

nights a year · CMIP6

YearBrazilGuatemala
2014282171.5
2013282.5175.4
2012283.6171.8
2011281.8173.8
2010280.2171.4
2009279.2169.7
2008277.8167.8
2007275.9167.6
2006275.4167.2
2005275.8169.2
2004278.5167.4
2003276.7165.8
2002276.2165.7
2001277.7165.3
2000273.3163.6
1999271162
1998273.6162.1
1997270.9160.7
1996264.7157.9
1995263.8153.5
1994263.6155
1993258.3153.5
1992252.8151.7
1991269.7158.2
1990272.5161.9
1989267.1157.5
1988264.7154.2
1987265.9154.7
1986265.7153.1
1985260.6150.7
1984261.1150.3
1983255.9148.1
1982264.8151.3
1981265.3156.7
1980262152.3
1979261.2153
1978259.7149.5
1977261.8150.6
1976258.4151.6
1975252.4147.4
1974258.7150.2
1973261149.6
1972258.1148.2
1971256.5145.5
1970254.5145.4
1969255.1146.8
1968254.9146.7
1967250.3142.7
1966254.5145.9
1965250.8143.3
1964246.2143
1963241.9144.6
1962257.9149.5
1961258.2149.8
1960260.3151.4
1959255.7147.4
1958258.1150.5
1957256.6151.1
1956251.2148.2
1955257.2152.5
1954258150.4
1953255.2149.3
1952255.8150.3
1951256.3151.8
1950254.4148.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBrazilGuatemala
2015284257.6–299.5177158.4–194.6
2016281.5261.4–296.3178.5161.5–195.5
2017284.1263.2–297.8182.8166.6–194.9
2018283.4263.1–298.8180.2165–196.4
2019283.7262.9–302.4181.7159.3–199.5
2020286.3264.2–303.6184.1161.8–198.6
2021287.9266.9–302.3184.4168.1–201.1
2022289.6270.7–303.9184.6165.7–198.4
2023287.3270.5–303186.3171.1–207
2024291.5268.2–304.6187.1169.9–207.3
2025289.6269.1–304.8187.4169.7–205.6
2026289.7266.2–305.1190.9167.9–211
2027289.5269.1–303.7188.4171.9–210.9
2028291.2271.9–306191.3175.8–208.5
2029295.5276.3–309.6192.7175.6–208.8
2030292.2269.1–306.9191173.3–207.9
2031295.3274–308.9193.6175.3–211.4
2032296.8280.1–310.9196.4178.7–214.8
2033295.4273.3–308.5193.3174.6–208.5
2034294.3273.5–311.8193.5176.2–214.4
2035295.2274.4–310.9193.4177.7–212.8
2036295.1278.2–307.8194.4180.5–212.8
2037299.9283.7–311.3199.1180–216.2
2038299.6283.5–312.1202.6184.8–216.7
2039296.9279.9–311199181.6–217.6
2040298.5279.4–311.9200.3182.9–217.9
2041301.4282.2–314.1200.7182.1–218.2
2042300.6277.8–314.7201.6180.3–222.1
2043298.2279.8–312.7201.7182.3–226.4
2044300.3281.2–315.6200.8184.9–222.3
2045299.9279.7–313.1203.6188.7–225.1
2046302.8285.8–316.6204.5183.3–227.5
2047303.3285–316.4207.5190.3–227.5
2048304.4287.3–317.3208.2188.9–229.4
2049305.4288.4–318.5210.1188.7–227.4
2050303.9283.9–316.2211.4188–230.7
2051305.7287.5–317.5208.1192.7–229.2
2052305.9290.6–318.8207.7193–227.9
2053305.3285.9–317.5209.8186.4–233.2
2054306.1288.4–319.3209.5194.7–233.2
2055306.4290.8–319.8212.4196.2–231.9
2056306.7288.3–321.1210.9193.3–233.1
2057306.4287.6–321.1213.3193.7–232.4
2058309291–321.4211.7192.3–238.1
2059310.4290.7–322.8214.5190.4–237.4
2060311.6294.4–325.1217.4196.4–237.3
2061307.5290.3–321.2213.9193.7–237.1
2062309291.5–322.8216.3194–237.3
2063310.8290.6–322.8217.2197–240.8
2064309.6290.2–321.1214.5196.1–236.1
2065311.1291.6–323.1217.3195.2–238.2
2066312.2294.2–324.2217.9195.2–240
2067310.9291.5–323.3216.4194.1–241.1
2068311.5293–324.5221200.2–243.4
2069310.6292.2–323.6219.9200.5–241.9
2070312.7293–325.3219.6199.9–242.6
2071311.5292.1–323.9222.5203.4–243
2072313.3297.8–325.5225.6200.4–247.6
2073313.8298.6–327.2224.4199.9–248.3
2074311.4292.4–323.5222.5202.2–245.9
2075310.9291.5–324.5220.2198.7–242.6
2076314.2294.4–327.7222.9195.4–247.7
2077315.1295.6–326.8225.2198.3–245.9
2078314.9296.3–327.1225.4197.8–245.9
2079313292.8–326.8223.4199.3–248.2
2080311.9294.7–325.4223.4201–250.7
2081313.5295.5–325.6224202.5–246.6
2082315296.8–327.1224.8201.3–245.9
2083315.7295.3–328.7225202.3–250.5
2084316.6298.5–327.9227.9204.9–249.9
2085317.4299.3–329.8227.7199.2–251.3
2086315.8294–328224.9202.3–249.6
2087316.5297.9–328.5227.1197.8–249.7
2088315.6297.3–328.8230.6207.4–255.5
2089315296.6–327.9229.7207.4–251.4
2090316298.9–330.3228.2210–253.4
2091317298.1–330.6231.4206.6–255.4
2092317.6298.7–330.7230.1207.4–253.4
2093316.3297.5–328.6226.7206–255.5
2094316.4300.2–327.5227.3204.4–251.7
2095319299.8–330.7231.1207.7–255.5
2096317.7299.5–330.8229.9206.3–255.5
2097316.9297.8–329226.7208.6–249.5
2098318.6299.9–331.9231.1202.9–259.1
2099318.1300–330.2230.2203.1–256.5
2100317.3298.4–330.3230.9208.9–255.1

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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