India vs Philippines

India vs Philippines: Tropical nights

Tropical nights in 2014: 215.5 nights in India and 331.5 nights in Philippines, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 116 nights, or 1.54 times that in India.

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nights a year · CMIP6

India vs Philippines: Tropical nightsTropical nights in 2014: 215.5 nights in India and 331.5 nights in Philippines, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 116 nights, or 1.54 times that in India.
IndiaPhilippinesCMIP6 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 India at 250.4 nights and Philippines at 351.3 nights in 2100.

Every year

nights a year · CMIP6

YearIndiaPhilippines
2014215.5331.5
2013216330.9
2012217.4331.1
2011215.5329.8
2010215.2330.6
2009213.7329
2008213.7327.5
2007213.3327.8
2006212.5328.7
2005212.9329.7
2004214.9329.4
2003212.1327.1
2002213328.9
2001212.2327.8
2000210.8326.8
1999211.9327.5
1998210.3326.5
1997209.5325.4
1996207324.6
1995208.8324.2
1994207.1321.5
1993206319.5
1992203.5318.4
1991208324.1
1990209.9323.5
1989208322.5
1988207.3324
1987207.2323.1
1986207.2322.1
1985205.9321.4
1984206.7321.7
1983203.3319.4
1982205.7320.5
1981208.4320.4
1980205.3322.7
1979205.5321.2
1978204.1320.6
1977205.9319.8
1976204.6319.6
1975202.6319.6
1974205.3320
1973205.6319.4
1972203.8318.9
1971203.6318.8
1970202.6319
1969203.6318.7
1968201.7317.2
1967201.6317.4
1966203.9318.8
1965202.4317.2
1964201.2314.9
1963201.8317.2
1962203.8318.6
1961206.3319.3
1960206318.6
1959206.1320.5
1958204321.8
1957206.5319.4
1956204320
1955203.2319.3
1954206317.7
1953204320
1952204.4319
1951204.3319.8
1950206.3320.4
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIndiaPhilippines
2015216.9202.1–228.4333319.8–339.5
2016215202.5–227.6334.2322.8–340.7
2017216.2202.1–228.5333.4319.7–339.8
2018218.3204.5–231.4333.2320.1–340.1
2019217.4202.3–230.4334.1323.4–341.2
2020217.6203.1–232334.6322.6–341.8
2021219.7204.5–233.2335.6323.3–341.1
2022220.5205.8–233335.7323.3–342.1
2023220.4206.4–233.7336.7324.8–343.2
2024222.6208.1–236.3337.2325.7–343.9
2025219.7202.7–236.2336.3326.2–342.8
2026220.2204.2–236.8336.5322.9–343
2027223.6207.1–239336.2325.7–342.3
2028222.1205.1–235.7337.1325.5–343.8
2029225.4210–240.3338.1327.2–344.6
2030222.7207.3–235.6337.7326.2–344.4
2031223.8207.1–237.8337.1325.6–343.8
2032225.9210–240.5339.4329.5–346.1
2033223.8209.3–235.4339.7329.6–345.5
2034225.8210–242.7338.8328.8–345
2035224.9210.6–240.9338.6327.5–346.4
2036224.2210.4–240.3339.6327.8–346.9
2037228.3213.6–242.6339.8329.1–345.5
2038228.1212.6–241.4341.9330.7–347.7
2039227.4211.9–242.8341.2330.4–346.9
2040227212.2–242340.4328.1–347.6
2041227.1210.7–240.5341.1329.1–346.7
2042229.1214.8–244.2342331.4–347.7
2043228.9214.5–244341.3329–348.1
2044229.7214.7–244.2342.8329.9–349.8
2045231.2216.6–246.1343.4333.8–348.7
2046232.6216.2–248.6342.7330.2–348.7
2047232.4215.5–250343.2331.7–350.6
2048235.6218.5–254.3343.3332.7–350.6
2049235.3218.3–249.9343.2332.5–349.5
2050233.5216.6–253.4344.3332.6–349.9
2051234.9218.6–249.9344.4334.9–350.8
2052234219.4–249.3344.1333.5–350.9
2053234.9219.5–252.5344.3333.6–350.3
2054237.2219.4–253.1343.4332–349.9
2055237.2220.7–256.6344.3334.4–350.5
2056238.8221.2–254.9345334.6–352.6
2057235.7218.5–253.8345.5335.1–351.5
2058238.8222.8–254.1345.8334.3–351.3
2059241.1224.9–256.2345.5333.7–351.6
2060240.9225.6–255.6346.8335.5–353.5
2061237.9220.6–253.7345.9335–351.8
2062239.9221.2–259.7346335.2–353.5
2063239.9222.3–256.1346.6336.2–352.8
2064240223.8–256.3346.9335.3–353
2065240.9222.9–257.3346.1335.9–351.9
2066241.5224.1–258.6346.5335.4–352.4
2067241.6224.8–257.9346.1335.4–352
2068242.3224.6–262.1347.1335.1–354.1
2069242.8225.4–259.1347333.8–353.6
2070240.1225.3–257.1346.7336.1–352.7
2071241.8223.7–260.2347.6336.2–353.9
2072242.6225.4–259.2347334.4–353.8
2073243.8228–259.3348.4336.7–355
2074241.6226.9–258.4348.6337–354.9
2075243.5226.4–258.2347.9337.2–354
2076243.2224.6–259.9348.4337–355.1
2077243.7226.6–264.6348.7337–354.8
2078246.7230.1–261.5348.4338.2–354.7
2079244.9226.4–261.3348.8337.6–354.7
2080246.7227–263.7349.1338.4–355.9
2081247.5230.4–264.8348.8336.9–355.1
2082244.6227.9–262.3349.6338–354.9
2083247.5227.8–265.1349.9337.9–356.1
2084247.3228.3–266.8349.5336.7–356.4
2085246.5227.5–267.1349.1338.2–355.4
2086245.6227.7–266.5349.4337.5–354.9
2087245.5226.7–266.2349.7338.7–356
2088247229.4–266.9349.9338.9–356.1
2089248.1230–266.3350.2339.8–355.2
2090249228.9–266.4350.1339.7–355.9
2091248.9230–266.5349.5339.5–356.3
2092249.8232.3–267.8350.5339.3–356.1
2093248.1229–266.5350.4337.9–356.5
2094249.1230.6–268.4350.5338.4–355.9
2095251233.2–270350.5338.3–355.7
2096247.8231.4–269.3351.1339–358
2097251.1231.4–268350.2339.3–355.6
2098252.3230.8–268.3350.3337.4–355.2
2099248.7230.1–268.3350.6339.3–356.4
2100250.4232.9–266.7351.3340.2–356.3

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

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