Philippines vs South Africa

Philippines vs South Africa: Tropical nights

Tropical nights in 2014: 331.5 nights in Philippines and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 304.4 nights, or 12 times that in South Africa.

nights a year · CMIP6

Philippines vs South Africa: Tropical nightsTropical nights in 2014: 331.5 nights in Philippines and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 304.4 nights, or 12 times that in South Africa.
PhilippinesSouth AfricaCMIP6 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 Philippines at 351.3 nights and South Africa at 58.7 nights in 2100.

Every year

nights a year · CMIP6

YearPhilippinesSouth Africa
2014331.527.1
2013330.928.3
2012331.127.9
2011329.826.1
2010330.626
200932925.8
2008327.524.8
2007327.824.7
2006328.725.5
2005329.725.3
2004329.425.8
2003327.125.1
2002328.925
2001327.824.5
2000326.823.3
1999327.523
1998326.523.4
1997325.422.5
1996324.620.4
1995324.219.3
1994321.520
1993319.518.1
1992318.418.1
1991324.122.3
1990323.522.7
1989322.522
198832421.2
1987323.121.9
1986322.121
1985321.418.9
1984321.720
1983319.419
1982320.520.3
1981320.420
1980322.721.2
1979321.219.9
1978320.619.8
1977319.819.2
1976319.619.2
1975319.618.8
197432019.7
1973319.419.6
1972318.919
1971318.819.1
197031918.6
1969318.718.7
1968317.217.8
1967317.417.5
1966318.817.8
1965317.217.2
1964314.914.9
1963317.216.5
1962318.619.6
1961319.319.7
1960318.619.8
1959320.518.5
1958321.819.3
1957319.419.4
195632018
1955319.319.5
1954317.718.4
195332018.4
195231919.3
1951319.818.9
1950320.418.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearPhilippinesSouth Africa
2015333319.8–339.528.620–39.5
2016334.2322.8–340.726.817.8–37.9
2017333.4319.7–339.828.919.6–37.8
2018333.2320.1–340.129.620.6–40.6
2019334.1323.4–341.229.820.8–41.5
2020334.6322.6–341.829.518.9–39.1
2021335.6323.3–341.131.121.4–42.9
2022335.7323.3–342.13223.7–43.1
2023336.7324.8–343.231.922.9–41.8
2024337.2325.7–343.93324–45.6
2025336.3326.2–342.831.920.7–44.5
2026336.5322.9–34334.521.9–46.9
2027336.2325.7–342.334.423–47.7
2028337.1325.5–343.833.522.9–46
2029338.1327.2–344.636.226.5–48.3
2030337.7326.2–344.436.124.9–49
2031337.1325.6–343.836.324.5–50.3
2032339.4329.5–346.136.424.5–49.2
2033339.7329.6–345.536.924.5–48.3
2034338.8328.8–34537.626.4–51.8
2035338.6327.5–346.437.625.2–49.5
2036339.6327.8–346.93826.5–50.5
2037339.8329.1–345.539.928.2–53.4
2038341.9330.7–347.741.528.4–54.2
2039341.2330.4–346.939.227–52.9
2040340.4328.1–347.638.125.6–55.6
2041341.1329.1–346.740.227.4–54.3
2042342331.4–347.74229–56.4
2043341.3329–348.142.128.2–58.4
2044342.8329.9–349.841.929.5–57.8
2045343.4333.8–348.742.728.2–59
2046342.7330.2–348.744.130–59.5
2047343.2331.7–350.644.630.7–61.2
2048343.3332.7–350.64531.9–61.5
2049343.2332.5–349.545.632.3–61.4
2050344.3332.6–349.946.931–63.6
2051344.4334.9–350.847.532–65
2052344.1333.5–350.948.332.7–64.3
2053344.3333.6–350.345.733.7–62.1
2054343.4332–349.94833.3–64.3
2055344.3334.4–350.546.833–68.4
2056345334.6–352.647.933.2–64.8
2057345.5335.1–351.550.232.6–68.9
2058345.8334.3–351.347.934–66.4
2059345.5333.7–351.651.333.1–66.9
2060346.8335.5–353.551.936–69.9
2061345.9335–351.850.534.8–71.3
2062346335.2–353.550.532.7–71
2063346.6336.2–352.850.434.3–69.7
2064346.9335.3–3535134.1–67.7
2065346.1335.9–351.950.433.6–70.2
2066346.5335.4–352.45335.7–72.4
2067346.1335.4–35250.634.8–70.4
2068347.1335.1–354.154.837.8–72.5
2069347333.8–353.654.339.1–73.4
2070346.7336.1–352.754.337.2–73.3
2071347.6336.2–353.955.837.9–76.9
2072347334.4–353.85639.4–78.6
2073348.4336.7–35560.443.4–80.3
2074348.6337–354.957.439.1–75.3
2075347.9337.2–35456.137.7–76
2076348.4337–355.158.538.4–75.3
2077348.7337–354.857.341–80.5
2078348.4338.2–354.75639.5–79
2079348.8337.6–354.757.639.3–78
2080349.1338.4–355.959.540.3–80.9
2081348.8336.9–355.15841.5–79.6
2082349.6338–354.958.839.7–77.7
2083349.9337.9–356.160.839.1–82.9
2084349.5336.7–356.462.540.4–82.9
2085349.1338.2–355.460.741.3–87.6
2086349.4337.5–354.960.542.1–83.3
2087349.7338.7–35657.941–82.9
2088349.9338.9–356.164.243.4–85.3
2089350.2339.8–355.261.541.3–81.2
2090350.1339.7–355.961.641.5–86.8
2091349.5339.5–356.363.341.6–86.3
2092350.5339.3–356.163.144.9–84.8
2093350.4337.9–356.562.443.2–86.1
2094350.5338.4–355.963.145.6–87.4
2095350.5338.3–355.765.342.6–91.7
2096351.1339–3586142.7–90.1
2097350.2339.3–355.658.841.2–84.6
2098350.3337.4–355.265.143.8–89.8
2099350.6339.3–356.464.345–87
2100351.3340.2–356.358.742–88.2

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

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