India vs Saudi Arabia

India vs Saudi Arabia: Tropical nights

Tropical nights in 2014: 215.5 nights in India and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 34 nights, or 1.19 times that in Saudi Arabia.

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nights a year · CMIP6

India vs Saudi Arabia: Tropical nightsTropical nights in 2014: 215.5 nights in India and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 34 nights, or 1.19 times that in Saudi Arabia.
IndiaSaudi ArabiaCMIP6 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 Saudi Arabia at 218.7 nights in 2100.

Every year

nights a year · CMIP6

YearIndiaSaudi Arabia
2014215.5181.5
2013216180.4
2012217.4182.8
2011215.5182.7
2010215.2179.2
2009213.7177.1
2008213.7180.3
2007213.3178.9
2006212.5177.5
2005212.9177.9
2004214.9177.6
2003212.1177.4
2002213175.6
2001212.2178.1
2000210.8176.4
1999211.9173.2
1998210.3173.4
1997209.5173.8
1996207172
1995208.8169.2
1994207.1170.4
1993206164.6
1992203.5165.9
1991208169.2
1990209.9172.7
1989208168.9
1988207.3166.8
1987207.2167.3
1986207.2169.4
1985205.9166
1984206.7165
1983203.3163.5
1982205.7164.7
1981208.4168.9
1980205.3166.8
1979205.5165.3
1978204.1164.8
1977205.9165.6
1976204.6165.9
1975202.6161.2
1974205.3162.9
1973205.6163.7
1972203.8163.7
1971203.6160.4
1970202.6162.5
1969203.6161.3
1968201.7162.7
1967201.6159.5
1966203.9159.5
1965202.4159.5
1964201.2159.9
1963201.8160.2
1962203.8163.2
1961206.3163.7
1960206165.7
1959206.1164.4
1958204164.1
1957206.5165.5
1956204163.6
1955203.2162
1954206161.2
1953204162.5
1952204.4163.4
1951204.3161.2
1950206.3161.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIndiaSaudi Arabia
2015216.9202.1–228.4184.9169.4–198.7
2016215202.5–227.6183167.7–195.7
2017216.2202.1–228.5182.6168.1–196.7
2018218.3204.5–231.4186.8173.1–199.4
2019217.4202.3–230.4184.1168.8–199.1
2020217.6203.1–232185.3171.8–198.9
2021219.7204.5–233.2188.6173.6–202.8
2022220.5205.8–233187.6170.7–202
2023220.4206.4–233.7188.6173–203.8
2024222.6208.1–236.3187.1172.9–203.9
2025219.7202.7–236.2191.5176–206.1
2026220.2204.2–236.8191.8177.1–205.5
2027223.6207.1–239191.2176.6–206.8
2028222.1205.1–235.7191.9175.5–205.1
2029225.4210–240.3192.2176.6–205.7
2030222.7207.3–235.6193.3178.4–206.3
2031223.8207.1–237.8194.7179.1–207.6
2032225.9210–240.5192.2175.2–206
2033223.8209.3–235.4192.6177.5–206.9
2034225.8210–242.7196.7181.6–213
2035224.9210.6–240.9196.5179.9–211.6
2036224.2210.4–240.3194.1180–209.7
2037228.3213.6–242.6197183.7–209.9
2038228.1212.6–241.4198.4182.3–213.3
2039227.4211.9–242.8198184.4–213.6
2040227212.2–242199.2182.1–212.7
2041227.1210.7–240.5197.7181.4–211.7
2042229.1214.8–244.2198.3181.2–217
2043228.9214.5–244198.2182.3–215.3
2044229.7214.7–244.2199.2185.5–213.5
2045231.2216.6–246.1202187.1–216.8
2046232.6216.2–248.6204.1185.3–219.4
2047232.4215.5–250204.1187.4–220
2048235.6218.5–254.3206.1190.7–220
2049235.3218.3–249.9201.6187.7–216.2
2050233.5216.6–253.4205.7190.2–219.3
2051234.9218.6–249.9204.3188.8–222.1
2052234219.4–249.3203.8189.6–218
2053234.9219.5–252.5203.8186.3–218.8
2054237.2219.4–253.1207.6188.3–222.3
2055237.2220.7–256.6207.8190.8–221
2056238.8221.2–254.9203.7186.6–220.1
2057235.7218.5–253.8207.5188.8–224.2
2058238.8222.8–254.1205.9189.2–221.4
2059241.1224.9–256.2207.3191.6–226.9
2060240.9225.6–255.6206.9192.7–222.8
2061237.9220.6–253.7206.5190.4–220.9
2062239.9221.2–259.7208.1189.4–228.3
2063239.9222.3–256.1210.4193–227.1
2064240223.8–256.3207.5191.9–223.3
2065240.9222.9–257.3208.9193.9–226.1
2066241.5224.1–258.6210.3194.9–228
2067241.6224.8–257.9210.9193.1–228.6
2068242.3224.6–262.1209.8194.6–228.6
2069242.8225.4–259.1208.9194.5–226.3
2070240.1225.3–257.1211.2191.2–229
2071241.8223.7–260.2215.1196.3–233.3
2072242.6225.4–259.2213.6195.3–229.3
2073243.8228–259.3213.7194.1–231.6
2074241.6226.9–258.4210.5191.9–229.3
2075243.5226.4–258.2212.1196.6–231.8
2076243.2224.6–259.9212.8194.8–230.3
2077243.7226.6–264.6215.1196.6–233.9
2078246.7230.1–261.5215.5197.6–230.7
2079244.9226.4–261.3213.6197–229
2080246.7227–263.7213.6197.1–233.9
2081247.5230.4–264.8214.7194.4–231.6
2082244.6227.9–262.3214198.9–230.9
2083247.5227.8–265.1214.2198.5–238
2084247.3228.3–266.8217.4197.4–233.1
2085246.5227.5–267.1217.4199.6–237.9
2086245.6227.7–266.5217197.4–237.4
2087245.5226.7–266.2217.3199.7–238.7
2088247229.4–266.9216.1198.2–243.1
2089248.1230–266.3217.6199.5–239
2090249228.9–266.4217.3198.5–239.2
2091248.9230–266.5218.5202.8–238.4
2092249.8232.3–267.8218.5198.5–241.6
2093248.1229–266.5216.6197.8–236.3
2094249.1230.6–268.4218.8202–236.9
2095251233.2–270219.4204.2–237.4
2096247.8231.4–269.3219.9197.7–239.6
2097251.1231.4–268216.7196.8–239.7
2098252.3230.8–268.3219.7199.6–241.3
2099248.7230.1–268.3216.8200.8–236.8
2100250.4232.9–266.7218.7202.3–241

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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