Peru vs Venezuela

Peru vs Venezuela: Tropical nights

Tropical nights in 2014: 164.5 nights in Peru and 301.6 nights in Venezuela, in the CMIP6 climate models’ median run. In 2014 the value was higher in Venezuela, by 137.1 nights, or 1.83 times that in Peru.

nights a year · CMIP6

Peru vs Venezuela: Tropical nightsTropical nights in 2014: 164.5 nights in Peru and 301.6 nights in Venezuela, in the CMIP6 climate models’ median run. In 2014 the value was higher in Venezuela, by 137.1 nights, or 1.83 times that in Peru.
PeruVenezuelaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Venezuela has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Peru at 192.3 nights and Venezuela at 345 nights in 2100.

Every year

nights a year · CMIP6

YearPeruVenezuela
2014164.5301.6
2013163.1302
2012164.8303.7
2011164.3301.3
2010163.3300.3
2009162.3300
2008162298.4
2007159.8296.4
2006159.1296.8
2005159.3296.8
2004161.8299.4
2003160.5295.2
2002159.9296.3
2001160.7298.7
2000158292.3
1999155.7291.6
1998157.4291.4
1997156.1290.5
1996152.2286.8
1995152.1285.4
1994150.8282.3
1993148.5279.5
1992144274.7
1991156289.7
1990158.3291.4
1989153.2283.8
1988151.2284.2
1987152284.2
1986153.4284.4
1985149278.3
1984148.3279.8
1983145.4274.3
1982151.4280.8
1981153.1283.4
1980150.9280.5
1979150.5281.1
1978149.1278.7
1977150.3281.2
1976147.5276.6
1975142.1272.3
1974148.6277.7
1973151.5278.9
1972147.6275.9
1971145.7276.5
1970145.6275.6
1969147275.6
1968146273.2
1967142.3271.5
1966145.7273.1
1965143.3272.1
1964141.6270.3
1963135.9268.9
1962148.9276.8
1961146.5278.6
1960149.8279.9
1959146.1276.1
1958149.1280.9
1957148.7277.6
1956144275.1
1955148.3277.7
1954148.7277.5
1953148.2277.3
1952148.1278.4
1951147.2277.5
1950147.8275.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearPeruVenezuela
2015164.3148.5–174.9306.4280.3–320.1
2016163.4149.8–171.5303.9282.3–316.9
2017165.5155–175.2308.5288.7–319.9
2018165152.9–176.6307.6289.9–320.7
2019163.7151–176.8306.7288.7–321.7
2020165.3151.6–176.2310.2287.9–323.6
2021167.6154.7–177.3311.3295.3–324.1
2022169.5156.6–179.2314.4295–326.3
2023167.1156.3–178.4311.5294.4–326.5
2024170.6157.3–180.2316298.2–327.4
2025168.6155–179.9313.8294.2–329.5
2026167.8153.3–179.7314290.3–329.4
2027168.3155.2–178.8315.6292.6–328.8
2028169.8158.3–179.9317.7296.4–332.1
2029174162.8–181.7319.3296.9–332
2030168.1153.2–180.6317.7295–328.5
2031172.5156.2–183.7320.1295.9–331.8
2032173.2162.7–184.7321.4304.7–335
2033172156.5–181320.6301.8–331.2
2034171.6158.7–185.6318.1298.1–335
2035172159.3–184.1319.3302.3–335.9
2036172.5160.7–183.2320.5305.3–332.3
2037175.6166.3–185.3324.1307.2–334.1
2038175.8164.6–184.9325.8309.6–336.2
2039174.1162.7–185324.3307.9–335.8
2040175.4163.9–187323.5307.5–338.7
2041176.5165.3–186.1325.3309.6–336.6
2042176.3161.9–189.7324.8305.5–341.2
2043174.8163.7–185.3324.2307.1–337.7
2044175.3161.9–188.2324.1306.3–339.8
2045177.3165.5–186.9327.5309.7–338.6
2046180.3167.4–189.9329.6310.8–340.5
2047178.6167.5–189329.5313.9–341.5
2048181.2168.2–192.2331.2313.7–342.8
2049180.4168.1–189.8332.3314.9–340.5
2050178.6166.4–190.8330.9311.8–343.6
2051180.3168.5–190.6330.7310.1–344
2052181.5170.8–191.7332.4316.6–343.5
2053179.5168.3–190.8330.6312.7–343.6
2054180.1167.3–193.9331.9313.8–344.6
2055181.7171–194.8333317–345.8
2056182.2170–193332.7313.1–347.7
2057181.6168.7–193334.2315.2–345.3
2058183.1169.4–195.5333.5314.3–346.2
2059184.6169.7–195.3335.6317.1–348.3
2060185.6171.1–197.1337.4319.4–349
2061182.7169.9–195.8335.3317.3–347.2
2062184.3168.7–196.9335.9315–348.4
2063184.6170.8–196.9338317.5–347.9
2064184.4170.1–194.8336.3319.9–347.5
2065186.3173.3–196.9336.8319.9–349
2066185.6172.3–197.4337.9320.9–349.1
2067184.3169.4–198.2337.5317.9–348.2
2068186.1172.1–198.3339.3317.4–349.4
2069184.9169–198.3336.5318.1–349
2070185.4171.8–198.4336.4319.5–349.1
2071187.3173.3–198.7338.9319.1–349.1
2072188.1174.9–199.8340321.8–350.6
2073187.6175.9–202.1340.3322.9–351.4
2074186.4169.5–198.9338.9319.1–349.5
2075186.4170.6–198.3339.5318.1–349.2
2076188.8174.2–201339.8322.6–350.2
2077189.1174.7–201.8340.3322.1–351
2078188.4175.6–202.3340.2323–351
2079188172–199.7340.1320.9–351.4
2080189.1172.8–201.7341.4320.2–351.6
2081188.4173.6–201.8340.7322.5–351.3
2082188.8174.8–199.7341.6323.9–350.1
2083189.9175.7–204.7341.7323.3–353
2084190.7176.3–204.4343.3321.3–352.4
2085192176.2–204.6344.7322.8–353.5
2086189.1175.4–204341.4322.6–352.2
2087189.1175.9–203.6342.5322.4–352.2
2088191.1174.7–204.9342.9322.8–353.6
2089190.1174.3–203342.3324.8–353.1
2090190.4177–206.2341.9325.2–352.9
2091192.6174.4–205.9344.3323.4–353.3
2092192.6176.6–204.7344.3324.9–354.2
2093190.6176–206343324.8–353.6
2094192.3178.2–204.1343.9326.6–352.8
2095193.4176.5–207.3345.4325.4–354.5
2096191.4176.2–207.6343.7326–355.2
2097190.7174.9–202.2343.5324.6–351.9
2098192.9177.8–208.9344.5326.1–354.4
2099191.5176.8–205344.6324.8–353.8
2100192.3176.6–205.6345328.4–353.9

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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