Brazil vs Ethiopia

Brazil vs Ethiopia: Tropical nights

Tropical nights in 2014: 282 nights in Brazil and 144.9 nights in Ethiopia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Brazil, by 137.1 nights, or 1.95 times that in Ethiopia.

Watch it change on the map

nights a year · CMIP6

Brazil vs Ethiopia: Tropical nightsTropical nights in 2014: 282 nights in Brazil and 144.9 nights in Ethiopia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Brazil, by 137.1 nights, or 1.95 times that in Ethiopia.
BrazilEthiopiaCMIP6 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 Brazil at 317.3 nights and Ethiopia at 201.7 nights in 2100.

Every year

nights a year · CMIP6

YearBrazilEthiopia
2014282144.9
2013282.5145.1
2012283.6144.4
2011281.8145.6
2010280.2142.4
2009279.2140.3
2008277.8137.1
2007275.9138.2
2006275.4138.7
2005275.8138.1
2004278.5139.1
2003276.7138.8
2002276.2137.4
2001277.7139.2
2000273.3135.5
1999271132.6
1998273.6132.9
1997270.9132.7
1996264.7129.7
1995263.8127.8
1994263.6126.3
1993258.3122.5
1992252.8119.7
1991269.7129.5
1990272.5132.7
1989267.1129.4
1988264.7128.2
1987265.9126.4
1986265.7128.1
1985260.6122.8
1984261.1124.8
1983255.9120.6
1982264.8126.3
1981265.3127
1980262124.9
1979261.2125.1
1978259.7124.7
1977261.8125.8
1976258.4122
1975252.4119.5
1974258.7124
1973261125.2
1972258.1122.3
1971256.5120.6
1970254.5121.3
1969255.1120.4
1968254.9119.1
1967250.3118.1
1966254.5119.5
1965250.8117.4
1964246.2116.6
1963241.9115.7
1962257.9121.6
1961258.2124.2
1960260.3124.5
1959255.7121.6
1958258.1124.1
1957256.6123.2
1956251.2120.9
1955257.2122.8
1954258121.6
1953255.2121.2
1952255.8122.8
1951256.3123
1950254.4122
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBrazilEthiopia
2015284257.6–299.5146.6129.4–163.9
2016281.5261.4–296.3144.1127–160.6
2017284.1263.2–297.8148.3129.2–164.9
2018283.4263.1–298.8149.6131.6–166
2019283.7262.9–302.4146.2129.3–166
2020286.3264.2–303.6149.4129.6–168.5
2021287.9266.9–302.3150.7132.1–170
2022289.6270.7–303.9154135.7–171.2
2023287.3270.5–303153.5135.4–171.4
2024291.5268.2–304.6156.5135.9–175.6
2025289.6269.1–304.8154132.6–175.5
2026289.7266.2–305.1153132–175
2027289.5269.1–303.7154.2134.4–175.3
2028291.2271.9–306157.5138.3–177.4
2029295.5276.3–309.6159.2141.8–176.8
2030292.2269.1–306.9156.8136.3–175.7
2031295.3274–308.9161.4142.4–179.1
2032296.8280.1–310.9161.7143.1–182.5
2033295.4273.3–308.5161.8140–180.9
2034294.3273.5–311.8158.8141.5–184.3
2035295.2274.4–310.9162141.7–184.2
2036295.1278.2–307.8160.5143.6–179.4
2037299.9283.7–311.3165145.8–184.5
2038299.6283.5–312.1167.1146.5–186.7
2039296.9279.9–311164.5143.9–186
2040298.5279.4–311.9165.9146.2–190.1
2041301.4282.2–314.1167.9146.3–189.3
2042300.6277.8–314.7167.7146–194.3
2043298.2279.8–312.7167.3145.5–190.8
2044300.3281.2–315.6168.2148.2–189.9
2045299.9279.7–313.1170.7149.1–192.3
2046302.8285.8–316.6175.3150–198.6
2047303.3285–316.4176.9151.8–197.5
2048304.4287.3–317.3177.5155.4–199.1
2049305.4288.4–318.5177.5157.9–198.4
2050303.9283.9–316.2176.4153.8–199
2051305.7287.5–317.5176.6155.3–199.7
2052305.9290.6–318.8177155.6–200.7
2053305.3285.9–317.5176.7154.2–201.6
2054306.1288.4–319.3177.6156.9–201.1
2055306.4290.8–319.8180.6155.2–202.3
2056306.7288.3–321.1177.3155–205.4
2057306.4287.6–321.1180.3159.3–205.5
2058309291–321.4182.6153.7–209.4
2059310.4290.7–322.8185.7160.1–210.6
2060311.6294.4–325.1185.9160.3–210.4
2061307.5290.3–321.2183.3158.3–211.7
2062309291.5–322.8183.8155.4–213
2063310.8290.6–322.8184.5159.1–208.6
2064309.6290.2–321.1186.7160.6–207.2
2065311.1291.6–323.1183.7162.4–212.9
2066312.2294.2–324.2187.1165.4–210.1
2067310.9291.5–323.3187.1160.7–214.5
2068311.5293–324.5187.6160.4–215.8
2069310.6292.2–323.6187.8165.4–215.8
2070312.7293–325.3187.9161.6–216.9
2071311.5292.1–323.9192.7165.2–219.5
2072313.3297.8–325.5193.6167.4–214.5
2073313.8298.6–327.2193.3169.7–218.7
2074311.4292.4–323.5188.5163.9–219
2075310.9291.5–324.5191.9162.7–218.6
2076314.2294.4–327.7195166.9–218.9
2077315.1295.6–326.8194.1169.3–223.3
2078314.9296.3–327.1192.1168.4–218.6
2079313292.8–326.8193.4166.6–220.9
2080311.9294.7–325.4196.1169.2–222.4
2081313.5295.5–325.6194.6171–221.4
2082315296.8–327.1195.4168.8–219.9
2083315.7295.3–328.7194.6168.2–228.7
2084316.6298.5–327.9198.5170.7–224.2
2085317.4299.3–329.8198.4173.1–226.3
2086315.8294–328198.6172.3–228.4
2087316.5297.9–328.5199170.6–226.6
2088315.6297.3–328.8199170.7–227.7
2089315296.6–327.9198.6171.2–226.2
2090316298.9–330.3198.6173.4–227.7
2091317298.1–330.6203.6171.9–232.1
2092317.6298.7–330.7200.7172.5–229.7
2093316.3297.5–328.6201.4175.2–228.6
2094316.4300.2–327.5200.2174–228.9
2095319299.8–330.7203.9175.7–231.9
2096317.7299.5–330.8199.1170.5–230.8
2097316.9297.8–329198.4171.8–229.3
2098318.6299.9–331.9198.7172.1–231.5
2099318.1300–330.2201.8172.8–233.3
2100317.3298.4–330.3201.7175.1–231.8

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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