Brazil vs Philippines

Brazil vs Philippines: Tropical nights

Tropical nights in 2014: 282 nights in Brazil and 331.5 nights in Philippines, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 49.5 nights, or 1.18 times that in Brazil.

Watch it change on the map

nights a year · CMIP6

Brazil vs Philippines: Tropical nightsTropical nights in 2014: 282 nights in Brazil and 331.5 nights in Philippines, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 49.5 nights, or 1.18 times that in Brazil.
BrazilPhilippinesCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Philippines 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 Philippines at 351.3 nights in 2100.

Every year

nights a year · CMIP6

YearBrazilPhilippines
2014282331.5
2013282.5330.9
2012283.6331.1
2011281.8329.8
2010280.2330.6
2009279.2329
2008277.8327.5
2007275.9327.8
2006275.4328.7
2005275.8329.7
2004278.5329.4
2003276.7327.1
2002276.2328.9
2001277.7327.8
2000273.3326.8
1999271327.5
1998273.6326.5
1997270.9325.4
1996264.7324.6
1995263.8324.2
1994263.6321.5
1993258.3319.5
1992252.8318.4
1991269.7324.1
1990272.5323.5
1989267.1322.5
1988264.7324
1987265.9323.1
1986265.7322.1
1985260.6321.4
1984261.1321.7
1983255.9319.4
1982264.8320.5
1981265.3320.4
1980262322.7
1979261.2321.2
1978259.7320.6
1977261.8319.8
1976258.4319.6
1975252.4319.6
1974258.7320
1973261319.4
1972258.1318.9
1971256.5318.8
1970254.5319
1969255.1318.7
1968254.9317.2
1967250.3317.4
1966254.5318.8
1965250.8317.2
1964246.2314.9
1963241.9317.2
1962257.9318.6
1961258.2319.3
1960260.3318.6
1959255.7320.5
1958258.1321.8
1957256.6319.4
1956251.2320
1955257.2319.3
1954258317.7
1953255.2320
1952255.8319
1951256.3319.8
1950254.4320.4
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBrazilPhilippines
2015284257.6–299.5333319.8–339.5
2016281.5261.4–296.3334.2322.8–340.7
2017284.1263.2–297.8333.4319.7–339.8
2018283.4263.1–298.8333.2320.1–340.1
2019283.7262.9–302.4334.1323.4–341.2
2020286.3264.2–303.6334.6322.6–341.8
2021287.9266.9–302.3335.6323.3–341.1
2022289.6270.7–303.9335.7323.3–342.1
2023287.3270.5–303336.7324.8–343.2
2024291.5268.2–304.6337.2325.7–343.9
2025289.6269.1–304.8336.3326.2–342.8
2026289.7266.2–305.1336.5322.9–343
2027289.5269.1–303.7336.2325.7–342.3
2028291.2271.9–306337.1325.5–343.8
2029295.5276.3–309.6338.1327.2–344.6
2030292.2269.1–306.9337.7326.2–344.4
2031295.3274–308.9337.1325.6–343.8
2032296.8280.1–310.9339.4329.5–346.1
2033295.4273.3–308.5339.7329.6–345.5
2034294.3273.5–311.8338.8328.8–345
2035295.2274.4–310.9338.6327.5–346.4
2036295.1278.2–307.8339.6327.8–346.9
2037299.9283.7–311.3339.8329.1–345.5
2038299.6283.5–312.1341.9330.7–347.7
2039296.9279.9–311341.2330.4–346.9
2040298.5279.4–311.9340.4328.1–347.6
2041301.4282.2–314.1341.1329.1–346.7
2042300.6277.8–314.7342331.4–347.7
2043298.2279.8–312.7341.3329–348.1
2044300.3281.2–315.6342.8329.9–349.8
2045299.9279.7–313.1343.4333.8–348.7
2046302.8285.8–316.6342.7330.2–348.7
2047303.3285–316.4343.2331.7–350.6
2048304.4287.3–317.3343.3332.7–350.6
2049305.4288.4–318.5343.2332.5–349.5
2050303.9283.9–316.2344.3332.6–349.9
2051305.7287.5–317.5344.4334.9–350.8
2052305.9290.6–318.8344.1333.5–350.9
2053305.3285.9–317.5344.3333.6–350.3
2054306.1288.4–319.3343.4332–349.9
2055306.4290.8–319.8344.3334.4–350.5
2056306.7288.3–321.1345334.6–352.6
2057306.4287.6–321.1345.5335.1–351.5
2058309291–321.4345.8334.3–351.3
2059310.4290.7–322.8345.5333.7–351.6
2060311.6294.4–325.1346.8335.5–353.5
2061307.5290.3–321.2345.9335–351.8
2062309291.5–322.8346335.2–353.5
2063310.8290.6–322.8346.6336.2–352.8
2064309.6290.2–321.1346.9335.3–353
2065311.1291.6–323.1346.1335.9–351.9
2066312.2294.2–324.2346.5335.4–352.4
2067310.9291.5–323.3346.1335.4–352
2068311.5293–324.5347.1335.1–354.1
2069310.6292.2–323.6347333.8–353.6
2070312.7293–325.3346.7336.1–352.7
2071311.5292.1–323.9347.6336.2–353.9
2072313.3297.8–325.5347334.4–353.8
2073313.8298.6–327.2348.4336.7–355
2074311.4292.4–323.5348.6337–354.9
2075310.9291.5–324.5347.9337.2–354
2076314.2294.4–327.7348.4337–355.1
2077315.1295.6–326.8348.7337–354.8
2078314.9296.3–327.1348.4338.2–354.7
2079313292.8–326.8348.8337.6–354.7
2080311.9294.7–325.4349.1338.4–355.9
2081313.5295.5–325.6348.8336.9–355.1
2082315296.8–327.1349.6338–354.9
2083315.7295.3–328.7349.9337.9–356.1
2084316.6298.5–327.9349.5336.7–356.4
2085317.4299.3–329.8349.1338.2–355.4
2086315.8294–328349.4337.5–354.9
2087316.5297.9–328.5349.7338.7–356
2088315.6297.3–328.8349.9338.9–356.1
2089315296.6–327.9350.2339.8–355.2
2090316298.9–330.3350.1339.7–355.9
2091317298.1–330.6349.5339.5–356.3
2092317.6298.7–330.7350.5339.3–356.1
2093316.3297.5–328.6350.4337.9–356.5
2094316.4300.2–327.5350.5338.4–355.9
2095319299.8–330.7350.5338.3–355.7
2096317.7299.5–330.8351.1339–358
2097316.9297.8–329350.2339.3–355.6
2098318.6299.9–331.9350.3337.4–355.2
2099318.1300–330.2350.6339.3–356.4
2100317.3298.4–330.3351.3340.2–356.3

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

Brazil vs Philippines

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment