Bolivia vs Guatemala

Bolivia vs Guatemala: Tropical nights

Tropical nights in 2014: 179.5 nights in Bolivia and 171.5 nights in Guatemala, in the CMIP6 climate models’ median run. In 2014 the value was higher in Bolivia, by 8 nights, or 1.05 times that in Guatemala.

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nights a year · CMIP6

Bolivia vs Guatemala: Tropical nightsTropical nights in 2014: 179.5 nights in Bolivia and 171.5 nights in Guatemala, in the CMIP6 climate models’ median run. In 2014 the value was higher in Bolivia, by 8 nights, or 1.05 times that in Guatemala.
BoliviaGuatemalaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Bolivia 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 Guatemala at 230.9 nights in 2100.

Every year

nights a year · CMIP6

YearBoliviaGuatemala
2014179.5171.5
2013176.3175.4
2012177171.8
2011177.2173.8
2010176.7171.4
2009175.9169.7
2008174.1167.8
2007169167.6
2006169.8167.2
2005170.5169.2
2004175.5167.4
2003170.6165.8
2002173.3165.7
2001172.9165.3
2000169163.6
1999167.3162
1998170.7162.1
1997167.7160.7
1996163.3157.9
1995164.4153.5
1994162.7155
1993160.4153.5
1992155.4151.7
1991169.7158.2
1990172161.9
1989164.4157.5
1988161.5154.2
1987162.5154.7
1986163.8153.1
1985157.8150.7
1984159.8150.3
1983156.8148.1
1982164.2151.3
1981166.5156.7
1980162.2152.3
1979162.7153
1978161.1149.5
1977161150.6
1976160.1151.6
1975155.5147.4
1974160.5150.2
1973160.5149.6
1972158.8148.2
1971156.7145.5
1970155.1145.4
1969155.7146.8
1968155.9146.7
1967153.3142.7
1966156.7145.9
1965154.2143.3
1964150.7143
1963148.4144.6
1962157.9149.5
1961158.7149.8
1960160.3151.4
1959159147.4
1958157.5150.5
1957159.3151.1
1956154.5148.2
1955160.3152.5
1954159.7150.4
1953157.8149.3
1952159.1150.3
1951157.6151.8
1950158.6148.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBoliviaGuatemala
2015177.7162.4–194.8177158.4–194.6
2016177.1155.9–190.7178.5161.5–195.5
2017179.6164.6–190.9182.8166.6–194.9
2018177.8162.1–196.3180.2165–196.4
2019180.1164.5–199.9181.7159.3–199.5
2020180.5162–200.6184.1161.8–198.6
2021185.6169.2–197.3184.4168.1–201.1
2022184.7165.7–200.5184.6165.7–198.4
2023181.3166.6–196.7186.3171.1–207
2024187.1168.2–202.1187.1169.9–207.3
2025183.5168.8–195.7187.4169.7–205.6
2026182.5164.8–198.1190.9167.9–211
2027182.7165–201.6188.4171.9–210.9
2028186.3169.6–200.3191.3175.8–208.5
2029192.5175.6–205.4192.7175.6–208.8
2030185.5161.7–204.2191173.3–207.9
2031189.2166.2–205.3193.6175.3–211.4
2032189.7173.8–209.6196.4178.7–214.8
2033188.2167.7–204.1193.3174.6–208.5
2034188172.2–207.8193.5176.2–214.4
2035186.7169.1–206.1193.4177.7–212.8
2036190.5173.5–205.2194.4180.5–212.8
2037195.3181.4–208.5199.1180–216.2
2038189.2174.7–207.8202.6184.8–216.7
2039192.7175.7–205.5199181.6–217.6
2040192.3176.8–204.2200.3182.9–217.9
2041193.9179–209200.7182.1–218.2
2042191.3171.9–207.6201.6180.3–222.1
2043191.2174.4–209.9201.7182.3–226.4
2044194.5179.1–209.4200.8184.9–222.3
2045194.4180.2–209203.6188.7–225.1
2046194.8181.4–213204.5183.3–227.5
2047196.5181.4–213.3207.5190.3–227.5
2048200.2184.6–212.8208.2188.9–229.4
2049199.8181.3–214.4210.1188.7–227.4
2050196.3173.9–210.9211.4188–230.7
2051198.5184.2–213.3208.1192.7–229.2
2052200.6185.7–214.8207.7193–227.9
2053198182.1–211209.8186.4–233.2
2054195.9179.8–211209.5194.7–233.2
2055201.2187.1–215212.4196.2–231.9
2056201.3181.5–216.1210.9193.3–233.1
2057200.6184.3–214.4213.3193.7–232.4
2058200.8182.8–216.5211.7192.3–238.1
2059203.2186.1–215.8214.5190.4–237.4
2060203.4186.2–219.7217.4196.4–237.3
2061197.9184–216.3213.9193.7–237.1
2062201.4186.2–219.1216.3194–237.3
2063201.5184.9–217217.2197–240.8
2064200.5184.6–216.1214.5196.1–236.1
2065204.9187.3–218.4217.3195.2–238.2
2066203.3186.8–218.1217.9195.2–240
2067203.6187.7–215.6216.4194.1–241.1
2068204.4188–218221200.2–243.4
2069203.8184.5–219219.9200.5–241.9
2070205.1188.3–221.4219.6199.9–242.6
2071203186.9–214.6222.5203.4–243
2072206186.6–221.5225.6200.4–247.6
2073206.5193.2–220.7224.4199.9–248.3
2074204.5184.1–219.5222.5202.2–245.9
2075203.8185.8–217.9220.2198.7–242.6
2076206.5190.1–220.4222.9195.4–247.7
2077209.1185.4–221.4225.2198.3–245.9
2078208.1192.7–222.9225.4197.8–245.9
2079204.7186.2–218.6223.4199.3–248.2
2080208.7192.4–221.1223.4201–250.7
2081208.1190.7–221.1224202.5–246.6
2082208.2189.7–220.1224.8201.3–245.9
2083209.3192.8–222.6225202.3–250.5
2084208.2193.3–223.1227.9204.9–249.9
2085210.4194–225227.7199.2–251.3
2086210.4189.7–225.4224.9202.3–249.6
2087207.9193.8–222227.1197.8–249.7
2088210.3193.4–225.2230.6207.4–255.5
2089208.2191.3–222.9229.7207.4–251.4
2090209.7195.5–225.2228.2210–253.4
2091209.7192.5–227.1231.4206.6–255.4
2092209.8192.1–223.9230.1207.4–253.4
2093209.4195.7–222.1226.7206–255.5
2094208.9194.6–222.7227.3204.4–251.7
2095210.3191.2–225.3231.1207.7–255.5
2096211.6193.9–225229.9206.3–255.5
2097208.6189.8–220.3226.7208.6–249.5
2098211.7196.2–226.5231.1202.9–259.1
2099211.2195.3–224230.2203.1–256.5
2100210.8195.8–226.8230.9208.9–255.1

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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