Bolivia vs Brazil

Bolivia vs Brazil: Tropical nights

Tropical nights in 2014: 179.5 nights in Bolivia and 282 nights in Brazil, in the CMIP6 climate models’ median run. In 2014 the value was higher in Brazil, by 102.5 nights, or 1.57 times that in Bolivia.

Watch it change on the map

nights a year · CMIP6

Bolivia vs Brazil: Tropical nightsTropical nights in 2014: 179.5 nights in Bolivia and 282 nights in Brazil, in the CMIP6 climate models’ median run. In 2014 the value was higher in Brazil, by 102.5 nights, or 1.57 times that in Bolivia.
BoliviaBrazilCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Brazil 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 Brazil at 317.3 nights in 2100.

Every year

nights a year · CMIP6

YearBoliviaBrazil
2014179.5282
2013176.3282.5
2012177283.6
2011177.2281.8
2010176.7280.2
2009175.9279.2
2008174.1277.8
2007169275.9
2006169.8275.4
2005170.5275.8
2004175.5278.5
2003170.6276.7
2002173.3276.2
2001172.9277.7
2000169273.3
1999167.3271
1998170.7273.6
1997167.7270.9
1996163.3264.7
1995164.4263.8
1994162.7263.6
1993160.4258.3
1992155.4252.8
1991169.7269.7
1990172272.5
1989164.4267.1
1988161.5264.7
1987162.5265.9
1986163.8265.7
1985157.8260.6
1984159.8261.1
1983156.8255.9
1982164.2264.8
1981166.5265.3
1980162.2262
1979162.7261.2
1978161.1259.7
1977161261.8
1976160.1258.4
1975155.5252.4
1974160.5258.7
1973160.5261
1972158.8258.1
1971156.7256.5
1970155.1254.5
1969155.7255.1
1968155.9254.9
1967153.3250.3
1966156.7254.5
1965154.2250.8
1964150.7246.2
1963148.4241.9
1962157.9257.9
1961158.7258.2
1960160.3260.3
1959159255.7
1958157.5258.1
1957159.3256.6
1956154.5251.2
1955160.3257.2
1954159.7258
1953157.8255.2
1952159.1255.8
1951157.6256.3
1950158.6254.4
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBoliviaBrazil
2015177.7162.4–194.8284257.6–299.5
2016177.1155.9–190.7281.5261.4–296.3
2017179.6164.6–190.9284.1263.2–297.8
2018177.8162.1–196.3283.4263.1–298.8
2019180.1164.5–199.9283.7262.9–302.4
2020180.5162–200.6286.3264.2–303.6
2021185.6169.2–197.3287.9266.9–302.3
2022184.7165.7–200.5289.6270.7–303.9
2023181.3166.6–196.7287.3270.5–303
2024187.1168.2–202.1291.5268.2–304.6
2025183.5168.8–195.7289.6269.1–304.8
2026182.5164.8–198.1289.7266.2–305.1
2027182.7165–201.6289.5269.1–303.7
2028186.3169.6–200.3291.2271.9–306
2029192.5175.6–205.4295.5276.3–309.6
2030185.5161.7–204.2292.2269.1–306.9
2031189.2166.2–205.3295.3274–308.9
2032189.7173.8–209.6296.8280.1–310.9
2033188.2167.7–204.1295.4273.3–308.5
2034188172.2–207.8294.3273.5–311.8
2035186.7169.1–206.1295.2274.4–310.9
2036190.5173.5–205.2295.1278.2–307.8
2037195.3181.4–208.5299.9283.7–311.3
2038189.2174.7–207.8299.6283.5–312.1
2039192.7175.7–205.5296.9279.9–311
2040192.3176.8–204.2298.5279.4–311.9
2041193.9179–209301.4282.2–314.1
2042191.3171.9–207.6300.6277.8–314.7
2043191.2174.4–209.9298.2279.8–312.7
2044194.5179.1–209.4300.3281.2–315.6
2045194.4180.2–209299.9279.7–313.1
2046194.8181.4–213302.8285.8–316.6
2047196.5181.4–213.3303.3285–316.4
2048200.2184.6–212.8304.4287.3–317.3
2049199.8181.3–214.4305.4288.4–318.5
2050196.3173.9–210.9303.9283.9–316.2
2051198.5184.2–213.3305.7287.5–317.5
2052200.6185.7–214.8305.9290.6–318.8
2053198182.1–211305.3285.9–317.5
2054195.9179.8–211306.1288.4–319.3
2055201.2187.1–215306.4290.8–319.8
2056201.3181.5–216.1306.7288.3–321.1
2057200.6184.3–214.4306.4287.6–321.1
2058200.8182.8–216.5309291–321.4
2059203.2186.1–215.8310.4290.7–322.8
2060203.4186.2–219.7311.6294.4–325.1
2061197.9184–216.3307.5290.3–321.2
2062201.4186.2–219.1309291.5–322.8
2063201.5184.9–217310.8290.6–322.8
2064200.5184.6–216.1309.6290.2–321.1
2065204.9187.3–218.4311.1291.6–323.1
2066203.3186.8–218.1312.2294.2–324.2
2067203.6187.7–215.6310.9291.5–323.3
2068204.4188–218311.5293–324.5
2069203.8184.5–219310.6292.2–323.6
2070205.1188.3–221.4312.7293–325.3
2071203186.9–214.6311.5292.1–323.9
2072206186.6–221.5313.3297.8–325.5
2073206.5193.2–220.7313.8298.6–327.2
2074204.5184.1–219.5311.4292.4–323.5
2075203.8185.8–217.9310.9291.5–324.5
2076206.5190.1–220.4314.2294.4–327.7
2077209.1185.4–221.4315.1295.6–326.8
2078208.1192.7–222.9314.9296.3–327.1
2079204.7186.2–218.6313292.8–326.8
2080208.7192.4–221.1311.9294.7–325.4
2081208.1190.7–221.1313.5295.5–325.6
2082208.2189.7–220.1315296.8–327.1
2083209.3192.8–222.6315.7295.3–328.7
2084208.2193.3–223.1316.6298.5–327.9
2085210.4194–225317.4299.3–329.8
2086210.4189.7–225.4315.8294–328
2087207.9193.8–222316.5297.9–328.5
2088210.3193.4–225.2315.6297.3–328.8
2089208.2191.3–222.9315296.6–327.9
2090209.7195.5–225.2316298.9–330.3
2091209.7192.5–227.1317298.1–330.6
2092209.8192.1–223.9317.6298.7–330.7
2093209.4195.7–222.1316.3297.5–328.6
2094208.9194.6–222.7316.4300.2–327.5
2095210.3191.2–225.3319299.8–330.7
2096211.6193.9–225317.7299.5–330.8
2097208.6189.8–220.3316.9297.8–329
2098211.7196.2–226.5318.6299.9–331.9
2099211.2195.3–224318.1300–330.2
2100210.8195.8–226.8317.3298.4–330.3

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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