India vs Vietnam

India vs Vietnam: Tropical nights

Tropical nights in 2014: 215.5 nights in India and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 27.1 nights, or 1.13 times that in India.

Watch it change on the map

nights a year · CMIP6

India vs Vietnam: Tropical nightsTropical nights in 2014: 215.5 nights in India and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 27.1 nights, or 1.13 times that in India.
IndiaVietnamCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Vietnam 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 Vietnam at 282.7 nights in 2100.

Every year

nights a year · CMIP6

YearIndiaVietnam
2014215.5242.6
2013216243.6
2012217.4242.4
2011215.5241.9
2010215.2240.9
2009213.7240
2008213.7238.7
2007213.3238
2006212.5239.1
2005212.9238.3
2004214.9241.8
2003212.1235.9
2002213236.3
2001212.2241.3
2000210.8237
1999211.9236
1998210.3236.8
1997209.5237.1
1996207231.4
1995208.8229.9
1994207.1231.2
1993206225.3
1992203.5221.9
1991208229.8
1990209.9233.1
1989208229.2
1988207.3231.7
1987207.2230.3
1986207.2230.9
1985205.9228
1984206.7230.2
1983203.3224.9
1982205.7227.5
1981208.4229.7
1980205.3228.1
1979205.5228.9
1978204.1227.5
1977205.9229
1976204.6225.8
1975202.6225.8
1974205.3225.7
1973205.6230.3
1972203.8225.6
1971203.6225.5
1970202.6226.1
1969203.6227
1968201.7227.1
1967201.6222.9
1966203.9226.8
1965202.4225.4
1964201.2222.6
1963201.8224.3
1962203.8227.8
1961206.3229.4
1960206228.5
1959206.1226.2
1958204230.9
1957206.5228.4
1956204228.7
1955203.2227.5
1954206226.3
1953204228.2
1952204.4228.5
1951204.3229.2
1950206.3228.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIndiaVietnam
2015216.9202.1–228.4245.8228.2–261.9
2016215202.5–227.6243.7226.1–259.4
2017216.2202.1–228.5247229.6–260.7
2018218.3204.5–231.4248.3228.8–263.3
2019217.4202.3–230.4248.1229.2–262.8
2020217.6203.1–232248.8229.6–262.9
2021219.7204.5–233.2251.1233.1–266.7
2022220.5205.8–233252.4234.3–266.8
2023220.4206.4–233.7253.4235.4–266.6
2024222.6208.1–236.3251.3236.7–264.6
2025219.7202.7–236.2252.4234.1–266.2
2026220.2204.2–236.8252.8232.9–268.5
2027223.6207.1–239253.2237–268.8
2028222.1205.1–235.7254.3237.7–272
2029225.4210–240.3258.1238.5–273.7
2030222.7207.3–235.6256.4240.9–270.1
2031223.8207.1–237.8255.9241.2–270.9
2032225.9210–240.5257.4239.1–269.9
2033223.8209.3–235.4258.3241.7–273.2
2034225.8210–242.7258.8240.7–275.8
2035224.9210.6–240.9258.6242.5–275.4
2036224.2210.4–240.3258.3239.1–273.8
2037228.3213.6–242.6258.7242.4–272.4
2038228.1212.6–241.4263.4247.6–277.3
2039227.4211.9–242.8260.2243.7–275.9
2040227212.2–242260.1242.8–274.8
2041227.1210.7–240.5263.1245.9–279
2042229.1214.8–244.2263.6246.5–279
2043228.9214.5–244261.4245.5–279.6
2044229.7214.7–244.2263.2245.2–277.6
2045231.2216.6–246.1265.5249.6–281.4
2046232.6216.2–248.6264.9246.8–278.1
2047232.4215.5–250266.9250.4–282.9
2048235.6218.5–254.3268250.5–283.8
2049235.3218.3–249.9267.8251.2–284.8
2050233.5216.6–253.4268251.2–283.5
2051234.9218.6–249.9270.9254.3–285.4
2052234219.4–249.3268.3253.3–282.8
2053234.9219.5–252.5268.5250.1–283.2
2054237.2219.4–253.1269.1250.8–283.6
2055237.2220.7–256.6270249.8–284.2
2056238.8221.2–254.9271.7254.8–290.1
2057235.7218.5–253.8270253–285.7
2058238.8222.8–254.1270.7252.9–286.5
2059241.1224.9–256.2273257.6–286.6
2060240.9225.6–255.6275.7255.6–290.6
2061237.9220.6–253.7273.5254.6–289.5
2062239.9221.2–259.7271.4253.1–290.2
2063239.9222.3–256.1272.9252.7–288.1
2064240223.8–256.3273.8254.4–288.1
2065240.9222.9–257.3272255.8–286.3
2066241.5224.1–258.6271.8254.4–287.3
2067241.6224.8–257.9270.8252.1–287.6
2068242.3224.6–262.1275.6256.9–292.4
2069242.8225.4–259.1276.4258.5–292
2070240.1225.3–257.1274.6257.8–292.8
2071241.8223.7–260.2276.2255.2–294.1
2072242.6225.4–259.2277256.8–291.4
2073243.8228–259.3278.5262.7–293.4
2074241.6226.9–258.4277.6259.2–295.8
2075243.5226.4–258.2276.4258.7–294.4
2076243.2224.6–259.9279.2258.5–296.6
2077243.7226.6–264.6280264.9–294.7
2078246.7230.1–261.5278.4258.6–295.5
2079244.9226.4–261.3279.3263.4–293.6
2080246.7227–263.7280261.4–296.5
2081247.5230.4–264.8280.4261.2–297.9
2082244.6227.9–262.3280.9258.9–296
2083247.5227.8–265.1278.4261.6–295
2084247.3228.3–266.8279257.4–293.8
2085246.5227.5–267.1281.3265–297.8
2086245.6227.7–266.5282.3260.2–297.5
2087245.5226.7–266.2281.9261.3–300.7
2088247229.4–266.9283.1265.7–301.5
2089248.1230–266.3280.8261.2–301.6
2090249228.9–266.4280.5264.5–297.6
2091248.9230–266.5283.3264.3–298.9
2092249.8232.3–267.8281.1261.5–299.4
2093248.1229–266.5280.5263.4–296.1
2094249.1230.6–268.4283264.5–300
2095251233.2–270285.5264.5–302.9
2096247.8231.4–269.3281.8264.8–299.8
2097251.1231.4–268281.5263.3–299
2098252.3230.8–268.3282.5263.9–301.5
2099248.7230.1–268.3282.7265.1–298
2100250.4232.9–266.7282.7261–298.2

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

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