Bolivia vs Venezuela

Bolivia vs Venezuela: Tropical nights

Tropical nights in 2014: 179.5 nights in Bolivia and 301.6 nights in Venezuela, in the CMIP6 climate models’ median run. In 2014 the value was higher in Venezuela, by 122.1 nights, or 1.68 times that in Bolivia.

nights a year · CMIP6

Bolivia vs Venezuela: Tropical nightsTropical nights in 2014: 179.5 nights in Bolivia and 301.6 nights in Venezuela, in the CMIP6 climate models’ median run. In 2014 the value was higher in Venezuela, by 122.1 nights, or 1.68 times that in Bolivia.
BoliviaVenezuelaCMIP6 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 Bolivia at 210.8 nights and Venezuela at 345 nights in 2100.

Every year

nights a year · CMIP6

YearBoliviaVenezuela
2014179.5301.6
2013176.3302
2012177303.7
2011177.2301.3
2010176.7300.3
2009175.9300
2008174.1298.4
2007169296.4
2006169.8296.8
2005170.5296.8
2004175.5299.4
2003170.6295.2
2002173.3296.3
2001172.9298.7
2000169292.3
1999167.3291.6
1998170.7291.4
1997167.7290.5
1996163.3286.8
1995164.4285.4
1994162.7282.3
1993160.4279.5
1992155.4274.7
1991169.7289.7
1990172291.4
1989164.4283.8
1988161.5284.2
1987162.5284.2
1986163.8284.4
1985157.8278.3
1984159.8279.8
1983156.8274.3
1982164.2280.8
1981166.5283.4
1980162.2280.5
1979162.7281.1
1978161.1278.7
1977161281.2
1976160.1276.6
1975155.5272.3
1974160.5277.7
1973160.5278.9
1972158.8275.9
1971156.7276.5
1970155.1275.6
1969155.7275.6
1968155.9273.2
1967153.3271.5
1966156.7273.1
1965154.2272.1
1964150.7270.3
1963148.4268.9
1962157.9276.8
1961158.7278.6
1960160.3279.9
1959159276.1
1958157.5280.9
1957159.3277.6
1956154.5275.1
1955160.3277.7
1954159.7277.5
1953157.8277.3
1952159.1278.4
1951157.6277.5
1950158.6275.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBoliviaVenezuela
2015177.7162.4–194.8306.4280.3–320.1
2016177.1155.9–190.7303.9282.3–316.9
2017179.6164.6–190.9308.5288.7–319.9
2018177.8162.1–196.3307.6289.9–320.7
2019180.1164.5–199.9306.7288.7–321.7
2020180.5162–200.6310.2287.9–323.6
2021185.6169.2–197.3311.3295.3–324.1
2022184.7165.7–200.5314.4295–326.3
2023181.3166.6–196.7311.5294.4–326.5
2024187.1168.2–202.1316298.2–327.4
2025183.5168.8–195.7313.8294.2–329.5
2026182.5164.8–198.1314290.3–329.4
2027182.7165–201.6315.6292.6–328.8
2028186.3169.6–200.3317.7296.4–332.1
2029192.5175.6–205.4319.3296.9–332
2030185.5161.7–204.2317.7295–328.5
2031189.2166.2–205.3320.1295.9–331.8
2032189.7173.8–209.6321.4304.7–335
2033188.2167.7–204.1320.6301.8–331.2
2034188172.2–207.8318.1298.1–335
2035186.7169.1–206.1319.3302.3–335.9
2036190.5173.5–205.2320.5305.3–332.3
2037195.3181.4–208.5324.1307.2–334.1
2038189.2174.7–207.8325.8309.6–336.2
2039192.7175.7–205.5324.3307.9–335.8
2040192.3176.8–204.2323.5307.5–338.7
2041193.9179–209325.3309.6–336.6
2042191.3171.9–207.6324.8305.5–341.2
2043191.2174.4–209.9324.2307.1–337.7
2044194.5179.1–209.4324.1306.3–339.8
2045194.4180.2–209327.5309.7–338.6
2046194.8181.4–213329.6310.8–340.5
2047196.5181.4–213.3329.5313.9–341.5
2048200.2184.6–212.8331.2313.7–342.8
2049199.8181.3–214.4332.3314.9–340.5
2050196.3173.9–210.9330.9311.8–343.6
2051198.5184.2–213.3330.7310.1–344
2052200.6185.7–214.8332.4316.6–343.5
2053198182.1–211330.6312.7–343.6
2054195.9179.8–211331.9313.8–344.6
2055201.2187.1–215333317–345.8
2056201.3181.5–216.1332.7313.1–347.7
2057200.6184.3–214.4334.2315.2–345.3
2058200.8182.8–216.5333.5314.3–346.2
2059203.2186.1–215.8335.6317.1–348.3
2060203.4186.2–219.7337.4319.4–349
2061197.9184–216.3335.3317.3–347.2
2062201.4186.2–219.1335.9315–348.4
2063201.5184.9–217338317.5–347.9
2064200.5184.6–216.1336.3319.9–347.5
2065204.9187.3–218.4336.8319.9–349
2066203.3186.8–218.1337.9320.9–349.1
2067203.6187.7–215.6337.5317.9–348.2
2068204.4188–218339.3317.4–349.4
2069203.8184.5–219336.5318.1–349
2070205.1188.3–221.4336.4319.5–349.1
2071203186.9–214.6338.9319.1–349.1
2072206186.6–221.5340321.8–350.6
2073206.5193.2–220.7340.3322.9–351.4
2074204.5184.1–219.5338.9319.1–349.5
2075203.8185.8–217.9339.5318.1–349.2
2076206.5190.1–220.4339.8322.6–350.2
2077209.1185.4–221.4340.3322.1–351
2078208.1192.7–222.9340.2323–351
2079204.7186.2–218.6340.1320.9–351.4
2080208.7192.4–221.1341.4320.2–351.6
2081208.1190.7–221.1340.7322.5–351.3
2082208.2189.7–220.1341.6323.9–350.1
2083209.3192.8–222.6341.7323.3–353
2084208.2193.3–223.1343.3321.3–352.4
2085210.4194–225344.7322.8–353.5
2086210.4189.7–225.4341.4322.6–352.2
2087207.9193.8–222342.5322.4–352.2
2088210.3193.4–225.2342.9322.8–353.6
2089208.2191.3–222.9342.3324.8–353.1
2090209.7195.5–225.2341.9325.2–352.9
2091209.7192.5–227.1344.3323.4–353.3
2092209.8192.1–223.9344.3324.9–354.2
2093209.4195.7–222.1343324.8–353.6
2094208.9194.6–222.7343.9326.6–352.8
2095210.3191.2–225.3345.4325.4–354.5
2096211.6193.9–225343.7326–355.2
2097208.6189.8–220.3343.5324.6–351.9
2098211.7196.2–226.5344.5326.1–354.4
2099211.2195.3–224344.6324.8–353.8
2100210.8195.8–226.8345328.4–353.9

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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