Bangladesh vs Philippines

Bangladesh vs Philippines: Tropical nights

Tropical nights in 2014: 239.9 nights in Bangladesh and 331.5 nights in Philippines, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 91.6 nights, or 1.38 times that in Bangladesh.

Watch it change on the map

nights a year · CMIP6

Bangladesh vs Philippines: Tropical nightsTropical nights in 2014: 239.9 nights in Bangladesh and 331.5 nights in Philippines, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 91.6 nights, or 1.38 times that in Bangladesh.
BangladeshPhilippinesCMIP6 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 Bangladesh at 269.8 nights and Philippines at 351.3 nights in 2100.

Every year

nights a year · CMIP6

YearBangladeshPhilippines
2014239.9331.5
2013239330.9
2012240.4331.1
2011240.5329.8
2010241330.6
2009238.6329
2008236.7327.5
2007236.9327.8
2006238.9328.7
2005238.2329.7
2004238.7329.4
2003236.5327.1
2002237.6328.9
2001237.2327.8
2000239.3326.8
1999236.6327.5
1998235.5326.5
1997235.5325.4
1996235.5324.6
1995234.8324.2
1994233.6321.5
1993232.2319.5
1992228318.4
1991233.4324.1
1990234.6323.5
1989235.7322.5
1988235.1324
1987236.4323.1
1986233.8322.1
1985233.6321.4
1984236321.7
1983230319.4
1982232.3320.5
1981235.9320.4
1980233.4322.7
1979234.5321.2
1978231.8320.6
1977232.3319.8
1976232319.6
1975231.3319.6
1974232.9320
1973232.1319.4
1972234.3318.9
1971233.1318.8
1970232.5319
1969231.1318.7
1968229.7317.2
1967231.6317.4
1966232.6318.8
1965232.5317.2
1964229.3314.9
1963233.8317.2
1962231.9318.6
1961236.2319.3
1960232.5318.6
1959234.7320.5
1958233.5321.8
1957232.5319.4
1956234.3320
1955230.2319.3
1954232.9317.7
1953234320
1952230.3319
1951233.5319.8
1950233.9320.4
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBangladeshPhilippines
2015241.2227–252.4333319.8–339.5
2016237.9226.6–249.3334.2322.8–340.7
2017239.8227.5–249.4333.4319.7–339.8
2018242.6227–255333.2320.1–340.1
2019241.2228.5–251.9334.1323.4–341.2
2020242.6229.3–254.4334.6322.6–341.8
2021244.3230.4–254.4335.6323.3–341.1
2022243.8231.5–254.2335.7323.3–342.1
2023243.5229.2–254.5336.7324.8–343.2
2024245.7231.4–257.1337.2325.7–343.9
2025242.5229.4–253.9336.3326.2–342.8
2026243.9227.9–258.1336.5322.9–343
2027247.1232.8–259.3336.2325.7–342.3
2028244.2232.2–254.4337.1325.5–343.8
2029247.3232.7–261.5338.1327.2–344.6
2030243.9232.3–255.2337.7326.2–344.4
2031245.1232.9–262.3337.1325.6–343.8
2032247.6236.6–257.8339.4329.5–346.1
2033245.3231.7–256.6339.7329.6–345.5
2034246.3233.2–260.4338.8328.8–345
2035246.4234.1–260.9338.6327.5–346.4
2036246.2228.6–260.4339.6327.8–346.9
2037247.7235.4–260.2339.8329.1–345.5
2038249232.1–261341.9330.7–347.7
2039250234.4–262.7341.2330.4–346.9
2040248.9235.5–260.5340.4328.1–347.6
2041248.3235.6–261.9341.1329.1–346.7
2042252.5237.8–265.3342331.4–347.7
2043250.8234.7–263.4341.3329–348.1
2044251.8239.1–265.2342.8329.9–349.8
2045250.3239.1–265.6343.4333.8–348.7
2046252.7238.9–267.8342.7330.2–348.7
2047253.9239.4–267.1343.2331.7–350.6
2048254.4242.7–270.5343.3332.7–350.6
2049253.7241.5–266.4343.2332.5–349.5
2050254.6242.5–269.2344.3332.6–349.9
2051254.7242.7–270.1344.4334.9–350.8
2052252.3240.2–264.6344.1333.5–350.9
2053256.9244–272.4344.3333.6–350.3
2054255.9243.5–269.4343.4332–349.9
2055255.2243.8–273.6344.3334.4–350.5
2056259.1243.6–274.7345334.6–352.6
2057257.5243.8–273.7345.5335.1–351.5
2058257.4245.6–274.2345.8334.3–351.3
2059258.3246.4–271.8345.5333.7–351.6
2060259.2246.1–272.6346.8335.5–353.5
2061257.7244.8–270.1345.9335–351.8
2062260.4246.4–274.2346335.2–353.5
2063259.9241.3–272.7346.6336.2–352.8
2064260.2245.9–273.1346.9335.3–353
2065259.8244.1–274.7346.1335.9–351.9
2066260246.6–274.6346.5335.4–352.4
2067261.4246.4–272.3346.1335.4–352
2068260.1245.8–274.8347.1335.1–354.1
2069263.3249.8–276.6347333.8–353.6
2070259.6245.8–272.6346.7336.1–352.7
2071262.2248.7–283.4347.6336.2–353.9
2072259.8248.6–276347334.4–353.8
2073264.1246.6–277.2348.4336.7–355
2074262.6248.3–276.6348.6337–354.9
2075263.6248.5–277.7347.9337.2–354
2076261.6251–276.9348.4337–355.1
2077264251.1–279.8348.7337–354.8
2078265251.6–281.6348.4338.2–354.7
2079263.8248.5–277.2348.8337.6–354.7
2080266.8251.9–280.3349.1338.4–355.9
2081266.5250.7–279.9348.8336.9–355.1
2082264249.6–277.3349.6338–354.9
2083266.6251.8–282.8349.9337.9–356.1
2084264.8253.1–284.2349.5336.7–356.4
2085265.4251.2–283.4349.1338.2–355.4
2086268.2252.8–285.3349.4337.5–354.9
2087265.7251.3–280.8349.7338.7–356
2088267.2252.6–284.4349.9338.9–356.1
2089267.1252.5–286.7350.2339.8–355.2
2090267.9254.9–283.4350.1339.7–355.9
2091267.7254.5–282.2349.5339.5–356.3
2092268.8253.6–281.7350.5339.3–356.1
2093268.1251.7–287350.4337.9–356.5
2094267.4251.3–287.4350.5338.4–355.9
2095270.8253.7–284.9350.5338.3–355.7
2096267.9250.5–285.8351.1339–358
2097269.3254.9–287.3350.2339.3–355.6
2098268.8252.4–284.9350.3337.4–355.2
2099269253–282.3350.6339.3–356.4
2100269.8254.8–284.9351.3340.2–356.3

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

Bangladesh vs Philippines

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment