India vs Pakistan

India vs Pakistan: Tropical nights

Tropical nights in 2014: 215.5 nights in India and 149.9 nights in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 65.6 nights, or 1.44 times that in Pakistan.

Watch it change on the map

nights a year · CMIP6

India vs Pakistan: Tropical nightsTropical nights in 2014: 215.5 nights in India and 149.9 nights in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 65.6 nights, or 1.44 times that in Pakistan.
IndiaPakistanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • India 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 Pakistan at 177.6 nights in 2100.

Every year

nights a year · CMIP6

YearIndiaPakistan
2014215.5149.9
2013216149.1
2012217.4149.9
2011215.5149
2010215.2148.4
2009213.7147.1
2008213.7147.4
2007213.3147.3
2006212.5146.7
2005212.9146.5
2004214.9147.5
2003212.1146
2002213148.3
2001212.2145.4
2000210.8144.7
1999211.9146.9
1998210.3144.8
1997209.5143.2
1996207141.2
1995208.8141.8
1994207.1142.1
1993206140.4
1992203.5139.9
1991208142.5
1990209.9142.6
1989208142.5
1988207.3140.3
1987207.2140
1986207.2140
1985205.9140
1984206.7138.9
1983203.3136.3
1982205.7138.5
1981208.4141.5
1980205.3139.5
1979205.5139.1
1978204.1139
1977205.9138.6
1976204.6139.2
1975202.6136.5
1974205.3138.7
1973205.6137.8
1972203.8137.4
1971203.6136
1970202.6137.7
1969203.6135.9
1968201.7136.6
1967201.6135.2
1966203.9136.9
1965202.4138.3
1964201.2135.1
1963201.8135.7
1962203.8137
1961206.3138.6
1960206139
1959206.1138.6
1958204137.7
1957206.5140
1956204137.8
1955203.2137.5
1954206137.8
1953204136.9
1952204.4138.1
1951204.3136.7
1950206.3139.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIndiaPakistan
2015216.9202.1–228.4152.4138.7–163.3
2016215202.5–227.6150.6139.4–161.7
2017216.2202.1–228.5151.3138.8–162
2018218.3204.5–231.4152.6139.8–161.8
2019217.4202.3–230.4151.8138.1–163.3
2020217.6203.1–232153.1140.3–164.5
2021219.7204.5–233.2154.1140.6–165.7
2022220.5205.8–233153.1140.2–165.7
2023220.4206.4–233.7155.5141.6–165.9
2024222.6208.1–236.3156.8143.3–168.7
2025219.7202.7–236.2155.7141.5–168.6
2026220.2204.2–236.8155.3142.2–167.9
2027223.6207.1–239156.8140.9–168.9
2028222.1205.1–235.7156.5143.9–167.6
2029225.4210–240.3155.9141.5–167.7
2030222.7207.3–235.6156.3143.3–167.6
2031223.8207.1–237.8157.3144.4–168.1
2032225.9210–240.5157.4142.5–169.6
2033223.8209.3–235.4157.7143.6–169.4
2034225.8210–242.7159.5145.6–173.4
2035224.9210.6–240.9159.3146.7–170.3
2036224.2210.4–240.3159.1147.5–171.4
2037228.3213.6–242.6162.2147.5–175.3
2038228.1212.6–241.4161.4148.6–171.7
2039227.4211.9–242.8160148.2–170.4
2040227212.2–242160.9147.9–171.3
2041227.1210.7–240.5160.8146.7–171.7
2042229.1214.8–244.2162.3149.9–175.6
2043228.9214.5–244161.1150.3–173.8
2044229.7214.7–244.2163150.9–173.9
2045231.2216.6–246.1163149.5–174.8
2046232.6216.2–248.6163.5149.8–177.2
2047232.4215.5–250165.2151.8–178.5
2048235.6218.5–254.3166.4154.1–179.4
2049235.3218.3–249.9165150.8–178.2
2050233.5216.6–253.4166.9153.5–179.3
2051234.9218.6–249.9165.6150.8–180
2052234219.4–249.3166.7155.4–179.5
2053234.9219.5–252.5166.3154.2–178.8
2054237.2219.4–253.1167.5153.9–181
2055237.2220.7–256.6167.8155.8–182.5
2056238.8221.2–254.9166.3153.6–179.7
2057235.7218.5–253.8168.3153.9–182.3
2058238.8222.8–254.1167.5157–179.9
2059241.1224.9–256.2170.9155.9–183.8
2060240.9225.6–255.6170.3156.5–181.8
2061237.9220.6–253.7168.8156.8–179.6
2062239.9221.2–259.7171.6153.5–186.5
2063239.9222.3–256.1171.3159.5–183.8
2064240223.8–256.3170.2155.3–184.5
2065240.9222.9–257.3169.7156.4–185
2066241.5224.1–258.6172.2157–186.7
2067241.6224.8–257.9173.2160.2–186.3
2068242.3224.6–262.1172.6157.7–186.3
2069242.8225.4–259.1171.8157.3–185.6
2070240.1225.3–257.1171.7158.9–186.7
2071241.8223.7–260.2173.4158.7–186.8
2072242.6225.4–259.2174161.5–186.9
2073243.8228–259.3175.6157.2–187.9
2074241.6226.9–258.4173.5160–186.3
2075243.5226.4–258.2173161.5–187.8
2076243.2224.6–259.9172.9158.8–186.7
2077243.7226.6–264.6175161.3–187.8
2078246.7230.1–261.5174.4160.9–189.3
2079244.9226.4–261.3172.5158.3–187.7
2080246.7227–263.7175.1160.7–189.2
2081247.5230.4–264.8174.9159.2–190.2
2082244.6227.9–262.3175.4161.8–190.6
2083247.5227.8–265.1176.5161.8–190.8
2084247.3228.3–266.8176.1160.9–190.5
2085246.5227.5–267.1176.3161.9–193.6
2086245.6227.7–266.5173.9160–189.1
2087245.5226.7–266.2176161–193.1
2088247229.4–266.9175.4160.5–195.2
2089248.1230–266.3177.2164.2–191.7
2090249228.9–266.4177.7163.9–192.2
2091248.9230–266.5177.8162.8–192.2
2092249.8232.3–267.8178.7162.9–192.9
2093248.1229–266.5177164–191
2094249.1230.6–268.4176.8164.1–190.7
2095251233.2–270178.6163.8–193.1
2096247.8231.4–269.3177.8163.7–192.5
2097251.1231.4–268177.3160.4–192.5
2098252.3230.8–268.3178.7162.6–195.7
2099248.7230.1–268.3176159.9–193.2
2100250.4232.9–266.7177.6162.2–193

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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