Brazil vs Vietnam

Brazil vs Vietnam: Tropical nights

Tropical nights in 2014: 282 nights in Brazil and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Brazil, by 39.4 nights, or 1.16 times that in Vietnam.

nights a year · CMIP6

Brazil vs Vietnam: Tropical nightsTropical nights in 2014: 282 nights in Brazil and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Brazil, by 39.4 nights, or 1.16 times that in Vietnam.
BrazilVietnamCMIP6 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 Vietnam at 282.7 nights in 2100.

Every year

nights a year · CMIP6

YearBrazilVietnam
2014282242.6
2013282.5243.6
2012283.6242.4
2011281.8241.9
2010280.2240.9
2009279.2240
2008277.8238.7
2007275.9238
2006275.4239.1
2005275.8238.3
2004278.5241.8
2003276.7235.9
2002276.2236.3
2001277.7241.3
2000273.3237
1999271236
1998273.6236.8
1997270.9237.1
1996264.7231.4
1995263.8229.9
1994263.6231.2
1993258.3225.3
1992252.8221.9
1991269.7229.8
1990272.5233.1
1989267.1229.2
1988264.7231.7
1987265.9230.3
1986265.7230.9
1985260.6228
1984261.1230.2
1983255.9224.9
1982264.8227.5
1981265.3229.7
1980262228.1
1979261.2228.9
1978259.7227.5
1977261.8229
1976258.4225.8
1975252.4225.8
1974258.7225.7
1973261230.3
1972258.1225.6
1971256.5225.5
1970254.5226.1
1969255.1227
1968254.9227.1
1967250.3222.9
1966254.5226.8
1965250.8225.4
1964246.2222.6
1963241.9224.3
1962257.9227.8
1961258.2229.4
1960260.3228.5
1959255.7226.2
1958258.1230.9
1957256.6228.4
1956251.2228.7
1955257.2227.5
1954258226.3
1953255.2228.2
1952255.8228.5
1951256.3229.2
1950254.4228.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBrazilVietnam
2015284257.6–299.5245.8228.2–261.9
2016281.5261.4–296.3243.7226.1–259.4
2017284.1263.2–297.8247229.6–260.7
2018283.4263.1–298.8248.3228.8–263.3
2019283.7262.9–302.4248.1229.2–262.8
2020286.3264.2–303.6248.8229.6–262.9
2021287.9266.9–302.3251.1233.1–266.7
2022289.6270.7–303.9252.4234.3–266.8
2023287.3270.5–303253.4235.4–266.6
2024291.5268.2–304.6251.3236.7–264.6
2025289.6269.1–304.8252.4234.1–266.2
2026289.7266.2–305.1252.8232.9–268.5
2027289.5269.1–303.7253.2237–268.8
2028291.2271.9–306254.3237.7–272
2029295.5276.3–309.6258.1238.5–273.7
2030292.2269.1–306.9256.4240.9–270.1
2031295.3274–308.9255.9241.2–270.9
2032296.8280.1–310.9257.4239.1–269.9
2033295.4273.3–308.5258.3241.7–273.2
2034294.3273.5–311.8258.8240.7–275.8
2035295.2274.4–310.9258.6242.5–275.4
2036295.1278.2–307.8258.3239.1–273.8
2037299.9283.7–311.3258.7242.4–272.4
2038299.6283.5–312.1263.4247.6–277.3
2039296.9279.9–311260.2243.7–275.9
2040298.5279.4–311.9260.1242.8–274.8
2041301.4282.2–314.1263.1245.9–279
2042300.6277.8–314.7263.6246.5–279
2043298.2279.8–312.7261.4245.5–279.6
2044300.3281.2–315.6263.2245.2–277.6
2045299.9279.7–313.1265.5249.6–281.4
2046302.8285.8–316.6264.9246.8–278.1
2047303.3285–316.4266.9250.4–282.9
2048304.4287.3–317.3268250.5–283.8
2049305.4288.4–318.5267.8251.2–284.8
2050303.9283.9–316.2268251.2–283.5
2051305.7287.5–317.5270.9254.3–285.4
2052305.9290.6–318.8268.3253.3–282.8
2053305.3285.9–317.5268.5250.1–283.2
2054306.1288.4–319.3269.1250.8–283.6
2055306.4290.8–319.8270249.8–284.2
2056306.7288.3–321.1271.7254.8–290.1
2057306.4287.6–321.1270253–285.7
2058309291–321.4270.7252.9–286.5
2059310.4290.7–322.8273257.6–286.6
2060311.6294.4–325.1275.7255.6–290.6
2061307.5290.3–321.2273.5254.6–289.5
2062309291.5–322.8271.4253.1–290.2
2063310.8290.6–322.8272.9252.7–288.1
2064309.6290.2–321.1273.8254.4–288.1
2065311.1291.6–323.1272255.8–286.3
2066312.2294.2–324.2271.8254.4–287.3
2067310.9291.5–323.3270.8252.1–287.6
2068311.5293–324.5275.6256.9–292.4
2069310.6292.2–323.6276.4258.5–292
2070312.7293–325.3274.6257.8–292.8
2071311.5292.1–323.9276.2255.2–294.1
2072313.3297.8–325.5277256.8–291.4
2073313.8298.6–327.2278.5262.7–293.4
2074311.4292.4–323.5277.6259.2–295.8
2075310.9291.5–324.5276.4258.7–294.4
2076314.2294.4–327.7279.2258.5–296.6
2077315.1295.6–326.8280264.9–294.7
2078314.9296.3–327.1278.4258.6–295.5
2079313292.8–326.8279.3263.4–293.6
2080311.9294.7–325.4280261.4–296.5
2081313.5295.5–325.6280.4261.2–297.9
2082315296.8–327.1280.9258.9–296
2083315.7295.3–328.7278.4261.6–295
2084316.6298.5–327.9279257.4–293.8
2085317.4299.3–329.8281.3265–297.8
2086315.8294–328282.3260.2–297.5
2087316.5297.9–328.5281.9261.3–300.7
2088315.6297.3–328.8283.1265.7–301.5
2089315296.6–327.9280.8261.2–301.6
2090316298.9–330.3280.5264.5–297.6
2091317298.1–330.6283.3264.3–298.9
2092317.6298.7–330.7281.1261.5–299.4
2093316.3297.5–328.6280.5263.4–296.1
2094316.4300.2–327.5283264.5–300
2095319299.8–330.7285.5264.5–302.9
2096317.7299.5–330.8281.8264.8–299.8
2097316.9297.8–329281.5263.3–299
2098318.6299.9–331.9282.5263.9–301.5
2099318.1300–330.2282.7265.1–298
2100317.3298.4–330.3282.7261–298.2

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

Brazil vs Vietnam

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment