El Salvador vs Guatemala

El Salvador vs Guatemala: Tropical nights

Tropical nights in 2014: 301.6 nights in El Salvador and 171.5 nights in Guatemala, in the CMIP6 climate models’ median run. In 2014 the value was higher in El Salvador, by 130.1 nights, or 1.76 times that in Guatemala.

Watch it change on the map

nights a year · CMIP6

El Salvador vs Guatemala: Tropical nightsTropical nights in 2014: 301.6 nights in El Salvador and 171.5 nights in Guatemala, in the CMIP6 climate models’ median run. In 2014 the value was higher in El Salvador, by 130.1 nights, or 1.76 times that in Guatemala.
El SalvadorGuatemalaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • El Salvador has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts El Salvador at 347.4 nights and Guatemala at 230.9 nights in 2100.

Every year

nights a year · CMIP6

YearEl SalvadorGuatemala
2014301.6171.5
2013305.8175.4
2012305.1171.8
2011304.2173.8
2010302.1171.4
2009300169.7
2008296.7167.8
2007297.7167.6
2006296.9167.2
2005299.1169.2
2004299.9167.4
2003295.3165.8
2002298.2165.7
2001295.9165.3
2000292.2163.6
1999291.9162
1998290.5162.1
1997288160.7
1996285.2157.9
1995282.4153.5
1994279.2155
1993276.2153.5
1992276.2151.7
1991285.5158.2
1990289.4161.9
1989284.2157.5
1988282.2154.2
1987282.7154.7
1986279.8153.1
1985274150.7
1984274.7150.3
1983270.6148.1
1982276.1151.3
1981282.8156.7
1980279.3152.3
1979277153
1978275.2149.5
1977274.6150.6
1976276.7151.6
1975270.6147.4
1974273.9150.2
1973275.9149.6
1972271.4148.2
1971267.3145.5
1970267.4145.4
1969267.9146.8
1968271.9146.7
1967265.2142.7
1966266.9145.9
1965266.5143.3
1964264.9143
1963263.6144.6
1962272.1149.5
1961275.3149.8
1960276.4151.4
1959269.9147.4
1958274.1150.5
1957274.1151.1
1956272.3148.2
1955274.6152.5
1954272.9150.4
1953273.9149.3
1952273.6150.3
1951274.5151.8
1950271.4148.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEl SalvadorGuatemala
2015307.4284–327.3177158.4–194.6
2016310.7289.4–330.2178.5161.5–195.5
2017313.6294.7–330.5182.8166.6–194.9
2018310.7295.3–328.9180.2165–196.4
2019312.5292.8–331.9181.7159.3–199.5
2020316.3295.1–330.6184.1161.8–198.6
2021316.4299.2–333.1184.4168.1–201.1
2022317.9298–330.1184.6165.7–198.4
2023319.4303.1–333.1186.3171.1–207
2024319.4299.5–335.1187.1169.9–207.3
2025320298.7–333.5187.4169.7–205.6
2026320.9296.6–336.8190.9167.9–211
2027322.1301.3–337.9188.4171.9–210.9
2028323.4306–337.4191.3175.8–208.5
2029323.3302.1–337.1192.7175.6–208.8
2030323.5301.5–338.3191173.3–207.9
2031326.8307.7–339.8193.6175.3–211.4
2032328.9311.8–340.8196.4178.7–214.8
2033323.9309.1–338.8193.3174.6–208.5
2034323.9305.9–342.6193.5176.2–214.4
2035326.2310.1–343.2193.4177.7–212.8
2036326309–339.3194.4180.5–212.8
2037327.9315.8–340.2199.1180–216.2
2038332.1314.9–342.1202.6184.8–216.7
2039329.2314–343.8199181.6–217.6
2040330.4314.8–343.5200.3182.9–217.9
2041333.1314.1–343.4200.7182.1–218.2
2042333.3317.1–343.4201.6180.3–222.1
2043332312.3–346.7201.7182.3–226.4
2044331.9316.8–345.7200.8184.9–222.3
2045331.8318.9–345.8203.6188.7–225.1
2046332.4315.5–345.4204.5183.3–227.5
2047334.9322.4–347.9207.5190.3–227.5
2048337.4322.1–348.5208.2188.9–229.4
2049338320.5–349210.1188.7–227.4
2050339.9319.8–349.2211.4188–230.7
2051336.5319.8–347.4208.1192.7–229.2
2052334.7319.3–348.6207.7193–227.9
2053339.8317.5–351209.8186.4–233.2
2054339.5326.5–349.6209.5194.7–233.2
2055338.3324.8–350.1212.4196.2–231.9
2056338322.1–350.8210.9193.3–233.1
2057341.4324.3–350.1213.3193.7–232.4
2058339.7326.2–351.6211.7192.3–238.1
2059339.3319.8–349.3214.5190.4–237.4
2060340.5325.6–350.9217.4196.4–237.3
2061340.4325.6–352.1213.9193.7–237.1
2062341.9324–351.1216.3194–237.3
2063341327.2–352.9217.2197–240.8
2064338.6325.2–351.1214.5196.1–236.1
2065340.3326.6–350.6217.3195.2–238.2
2066338.9324–351.2217.9195.2–240
2067342.2327.7–353.4216.4194.1–241.1
2068344.2331.5–354.7221200.2–243.4
2069344329.5–353219.9200.5–241.9
2070344329.2–353.5219.6199.9–242.6
2071344.2332.2–355.2222.5203.4–243
2072347.5328.6–355.9225.6200.4–247.6
2073343326–355.8224.4199.9–248.3
2074345.8331.4–355.8222.5202.2–245.9
2075342.5327.8–355.3220.2198.7–242.6
2076345.8325.9–356222.9195.4–247.7
2077344.4330.1–354.9225.2198.3–245.9
2078347.4329.3–356.6225.4197.8–245.9
2079342.9326.9–355.1223.4199.3–248.2
2080344.7329.5–357.8223.4201–250.7
2081344.4329–353.6224202.5–246.6
2082344.5328.8–355.8224.8201.3–245.9
2083344.4329.6–356.7225202.3–250.5
2084347.3333.4–356.6227.9204.9–249.9
2085346.2328.4–356227.7199.2–251.3
2086345.6329.1–354.9224.9202.3–249.6
2087346.8330.4–355.5227.1197.8–249.7
2088348.9335.4–358.4230.6207.4–255.5
2089348.7332.1–357229.7207.4–251.4
2090349335.4–358.9228.2210–253.4
2091347.7334.5–357.6231.4206.6–255.4
2092348.1335.4–358.1230.1207.4–253.4
2093348.2333.7–356.6226.7206–255.5
2094348333.9–356.6227.3204.4–251.7
2095349.1334.4–357.2231.1207.7–255.5
2096349.2333.1–357.7229.9206.3–255.5
2097347.1335.3–356.1226.7208.6–249.5
2098348.4330.7–358.4231.1202.9–259.1
2099347.7331.7–357.8230.2203.1–256.5
2100347.4334.3–355.9230.9208.9–255.1

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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