Bolivia vs Honduras

Bolivia vs Honduras: Tropical nights

Tropical nights in 2014: 179.5 nights in Bolivia and 176.7 nights in Honduras, in the CMIP6 climate models’ median run. In 2014 the value was higher in Bolivia, by 2.8 nights, or 1.02 times that in Honduras.

nights a year · CMIP6

Bolivia vs Honduras: Tropical nightsTropical nights in 2014: 179.5 nights in Bolivia and 176.7 nights in Honduras, in the CMIP6 climate models’ median run. In 2014 the value was higher in Bolivia, by 2.8 nights, or 1.02 times that in Honduras.
BoliviaHondurasCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Bolivia has been higher since 2014, when it overtook Honduras.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Bolivia at 210.8 nights and Honduras at 279.1 nights in 2100.

Every year

nights a year · CMIP6

YearBoliviaHonduras
2014179.5176.7
2013176.3181.1
2012177181.4
2011177.2180.5
2010176.7176.9
2009175.9174.4
2008174.1170.5
2007169171.8
2006169.8171
2005170.5171.6
2004175.5174.2
2003170.6170.2
2002173.3169.1
2001172.9168.2
2000169164.8
1999167.3162.2
1998170.7163
1997167.7160.4
1996163.3154.7
1995164.4152.5
1994162.7151.9
1993160.4149
1992155.4145
1991169.7156.7
1990172162.1
1989164.4153.8
1988161.5151.1
1987162.5151.9
1986163.8151.3
1985157.8146.1
1984159.8147.5
1983156.8143.7
1982164.2148.4
1981166.5150.9
1980162.2147.8
1979162.7148.9
1978161.1146
1977161148.6
1976160.1145.5
1975155.5141.8
1974160.5146.8
1973160.5145.1
1972158.8140.4
1971156.7141.1
1970155.1140.6
1969155.7142.2
1968155.9141.9
1967153.3138.4
1966156.7139.9
1965154.2138.1
1964150.7138.4
1963148.4136.8
1962157.9144.2
1961158.7145.5
1960160.3146.1
1959159143.3
1958157.5147.6
1957159.3144.5
1956154.5143.8
1955160.3146.3
1954159.7144
1953157.8143.2
1952159.1143.6
1951157.6145.5
1950158.6143.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBoliviaHonduras
2015177.7162.4–194.8186.4151.3–215.3
2016177.1155.9–190.7185.7154.8–211.9
2017179.6164.6–190.9194.4164.9–215.2
2018177.8162.1–196.3190.6168.8–218.5
2019180.1164.5–199.9189161–221
2020180.5162–200.6196.8164.4–223
2021185.6169.2–197.3199.3176.3–226.8
2022184.7165.7–200.5202.9173–227.6
2023181.3166.6–196.7198.1175.2–230.1
2024187.1168.2–202.1204.7177.9–233.2
2025183.5168.8–195.7202.7173.9–230.8
2026182.5164.8–198.1206.8174–235.2
2027182.7165–201.6206.5177.9–235.7
2028186.3169.6–200.3211.3184–238.7
2029192.5175.6–205.4210.3185.4–244.5
2030185.5161.7–204.2208.9176.9–241.7
2031189.2166.2–205.3217.3187.1–246.4
2032189.7173.8–209.6218.9194.5–247.9
2033188.2167.7–204.1213.3188.2–239.7
2034188172.2–207.8211.3186.1–248.7
2035186.7169.1–206.1215.3184.2–248.2
2036190.5173.5–205.2215.5194.1–242.5
2037195.3181.4–208.5226.4202.4–251.6
2038189.2174.7–207.8228.9198.7–256.2
2039192.7175.7–205.5224.4196.6–256.2
2040192.3176.8–204.2225.1201–258
2041193.9179–209225.9203–251.8
2042191.3171.9–207.6229.3200.2–262.8
2043191.2174.4–209.9224.4199–262.5
2044194.5179.1–209.4224.8201.2–262.7
2045194.4180.2–209231206.1–262.3
2046194.8181.4–213236.9204.5–267.7
2047196.5181.4–213.3236.3213.3–269.3
2048200.2184.6–212.8241.2216.7–268.9
2049199.8181.3–214.4244.8213.5–270.7
2050196.3173.9–210.9241.1207.2–277.8
2051198.5184.2–213.3239.9210.5–270.2
2052200.6185.7–214.8245.1215.7–271.2
2053198182.1–211240.8211.7–277.5
2054195.9179.8–211243.9220.4–286.6
2055201.2187.1–215248.1220.1–282.1
2056201.3181.5–216.1245.6213.1–279
2057200.6184.3–214.4249.4214.2–279.1
2058200.8182.8–216.5248.4217.2–289.1
2059203.2186.1–215.8252.6220.5–283.1
2060203.4186.2–219.7256.8225.2–289.4
2061197.9184–216.3254.5220.4–285.9
2062201.4186.2–219.1252.8217.4–291.1
2063201.5184.9–217258.7226.2–288
2064200.5184.6–216.1252.1224.1–285.7
2065204.9187.3–218.4258.1226.9–288.9
2066203.3186.8–218.1256.4227.7–287.4
2067203.6187.7–215.6258.3228.2–294.9
2068204.4188–218264.6231.2–295
2069203.8184.5–219258.1229.3–292
2070205.1188.3–221.4256.9225.3–297.9
2071203186.9–214.6261.9231–292.9
2072206186.6–221.5267.3235.2–300.4
2073206.5193.2–220.7268.1233.7–304.7
2074204.5184.1–219.5263.7234.2–295.9
2075203.8185.8–217.9262.1229.5–295.4
2076206.5190.1–220.4266.8231.8–298.5
2077209.1185.4–221.4268.6232.1–298.8
2078208.1192.7–222.9270.1236.8–299.6
2079204.7186.2–218.6265.3229.5–304.2
2080208.7192.4–221.1268.4230.2–304.2
2081208.1190.7–221.1268231.9–300.8
2082208.2189.7–220.1267.4230.2–301.8
2083209.3192.8–222.6268.3236.2–307.4
2084208.2193.3–223.1273.9235.2–307.1
2085210.4194–225276.4234.2–305.9
2086210.4189.7–225.4267.9238.8–305.2
2087207.9193.8–222270.4233.7–301.8
2088210.3193.4–225.2277239.9–310.2
2089208.2191.3–222.9275.4246–309.8
2090209.7195.5–225.2275.3244.1–307
2091209.7192.5–227.1281.9240.6–310.6
2092209.8192.1–223.9277.1245.6–312.3
2093209.4195.7–222.1272.8244.2–311.6
2094208.9194.6–222.7274.9245.2–308.4
2095210.3191.2–225.3280.8244.6–313.5
2096211.6193.9–225275.2245.8–313.5
2097208.6189.8–220.3276247.2–305.4
2098211.7196.2–226.5278.9238.9–313.4
2099211.2195.3–224280.8240.6–312.8
2100210.8195.8–226.8279.1248.3–309.6

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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