Honduras vs Peru

Honduras vs Peru: Tropical nights

Tropical nights in 2014: 176.7 nights in Honduras and 164.5 nights in Peru, in the CMIP6 climate models’ median run. In 2014 the value was higher in Honduras, by 12.2 nights, or 1.07 times that in Peru.

nights a year · CMIP6

Honduras vs Peru: Tropical nightsTropical nights in 2014: 176.7 nights in Honduras and 164.5 nights in Peru, in the CMIP6 climate models’ median run. In 2014 the value was higher in Honduras, by 12.2 nights, or 1.07 times that in Peru.
HondurasPeruCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Honduras has been higher since 1989, when it overtook Peru.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Honduras at 279.1 nights and Peru at 192.3 nights in 2100.

Every year

nights a year · CMIP6

YearHondurasPeru
2014176.7164.5
2013181.1163.1
2012181.4164.8
2011180.5164.3
2010176.9163.3
2009174.4162.3
2008170.5162
2007171.8159.8
2006171159.1
2005171.6159.3
2004174.2161.8
2003170.2160.5
2002169.1159.9
2001168.2160.7
2000164.8158
1999162.2155.7
1998163157.4
1997160.4156.1
1996154.7152.2
1995152.5152.1
1994151.9150.8
1993149148.5
1992145144
1991156.7156
1990162.1158.3
1989153.8153.2
1988151.1151.2
1987151.9152
1986151.3153.4
1985146.1149
1984147.5148.3
1983143.7145.4
1982148.4151.4
1981150.9153.1
1980147.8150.9
1979148.9150.5
1978146149.1
1977148.6150.3
1976145.5147.5
1975141.8142.1
1974146.8148.6
1973145.1151.5
1972140.4147.6
1971141.1145.7
1970140.6145.6
1969142.2147
1968141.9146
1967138.4142.3
1966139.9145.7
1965138.1143.3
1964138.4141.6
1963136.8135.9
1962144.2148.9
1961145.5146.5
1960146.1149.8
1959143.3146.1
1958147.6149.1
1957144.5148.7
1956143.8144
1955146.3148.3
1954144148.7
1953143.2148.2
1952143.6148.1
1951145.5147.2
1950143.7147.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearHondurasPeru
2015186.4151.3–215.3164.3148.5–174.9
2016185.7154.8–211.9163.4149.8–171.5
2017194.4164.9–215.2165.5155–175.2
2018190.6168.8–218.5165152.9–176.6
2019189161–221163.7151–176.8
2020196.8164.4–223165.3151.6–176.2
2021199.3176.3–226.8167.6154.7–177.3
2022202.9173–227.6169.5156.6–179.2
2023198.1175.2–230.1167.1156.3–178.4
2024204.7177.9–233.2170.6157.3–180.2
2025202.7173.9–230.8168.6155–179.9
2026206.8174–235.2167.8153.3–179.7
2027206.5177.9–235.7168.3155.2–178.8
2028211.3184–238.7169.8158.3–179.9
2029210.3185.4–244.5174162.8–181.7
2030208.9176.9–241.7168.1153.2–180.6
2031217.3187.1–246.4172.5156.2–183.7
2032218.9194.5–247.9173.2162.7–184.7
2033213.3188.2–239.7172156.5–181
2034211.3186.1–248.7171.6158.7–185.6
2035215.3184.2–248.2172159.3–184.1
2036215.5194.1–242.5172.5160.7–183.2
2037226.4202.4–251.6175.6166.3–185.3
2038228.9198.7–256.2175.8164.6–184.9
2039224.4196.6–256.2174.1162.7–185
2040225.1201–258175.4163.9–187
2041225.9203–251.8176.5165.3–186.1
2042229.3200.2–262.8176.3161.9–189.7
2043224.4199–262.5174.8163.7–185.3
2044224.8201.2–262.7175.3161.9–188.2
2045231206.1–262.3177.3165.5–186.9
2046236.9204.5–267.7180.3167.4–189.9
2047236.3213.3–269.3178.6167.5–189
2048241.2216.7–268.9181.2168.2–192.2
2049244.8213.5–270.7180.4168.1–189.8
2050241.1207.2–277.8178.6166.4–190.8
2051239.9210.5–270.2180.3168.5–190.6
2052245.1215.7–271.2181.5170.8–191.7
2053240.8211.7–277.5179.5168.3–190.8
2054243.9220.4–286.6180.1167.3–193.9
2055248.1220.1–282.1181.7171–194.8
2056245.6213.1–279182.2170–193
2057249.4214.2–279.1181.6168.7–193
2058248.4217.2–289.1183.1169.4–195.5
2059252.6220.5–283.1184.6169.7–195.3
2060256.8225.2–289.4185.6171.1–197.1
2061254.5220.4–285.9182.7169.9–195.8
2062252.8217.4–291.1184.3168.7–196.9
2063258.7226.2–288184.6170.8–196.9
2064252.1224.1–285.7184.4170.1–194.8
2065258.1226.9–288.9186.3173.3–196.9
2066256.4227.7–287.4185.6172.3–197.4
2067258.3228.2–294.9184.3169.4–198.2
2068264.6231.2–295186.1172.1–198.3
2069258.1229.3–292184.9169–198.3
2070256.9225.3–297.9185.4171.8–198.4
2071261.9231–292.9187.3173.3–198.7
2072267.3235.2–300.4188.1174.9–199.8
2073268.1233.7–304.7187.6175.9–202.1
2074263.7234.2–295.9186.4169.5–198.9
2075262.1229.5–295.4186.4170.6–198.3
2076266.8231.8–298.5188.8174.2–201
2077268.6232.1–298.8189.1174.7–201.8
2078270.1236.8–299.6188.4175.6–202.3
2079265.3229.5–304.2188172–199.7
2080268.4230.2–304.2189.1172.8–201.7
2081268231.9–300.8188.4173.6–201.8
2082267.4230.2–301.8188.8174.8–199.7
2083268.3236.2–307.4189.9175.7–204.7
2084273.9235.2–307.1190.7176.3–204.4
2085276.4234.2–305.9192176.2–204.6
2086267.9238.8–305.2189.1175.4–204
2087270.4233.7–301.8189.1175.9–203.6
2088277239.9–310.2191.1174.7–204.9
2089275.4246–309.8190.1174.3–203
2090275.3244.1–307190.4177–206.2
2091281.9240.6–310.6192.6174.4–205.9
2092277.1245.6–312.3192.6176.6–204.7
2093272.8244.2–311.6190.6176–206
2094274.9245.2–308.4192.3178.2–204.1
2095280.8244.6–313.5193.4176.5–207.3
2096275.2245.8–313.5191.4176.2–207.6
2097276247.2–305.4190.7174.9–202.2
2098278.9238.9–313.4192.9177.8–208.9
2099280.8240.6–312.8191.5176.8–205
2100279.1248.3–309.6192.3176.6–205.6

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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