India vs Iran

India vs Iran: Tropical nights

Tropical nights in 2014: 215.5 nights in India and 90.8 nights in Iran, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 124.7 nights, or 2.37 times that in Iran.

Watch it change on the map

nights a year · CMIP6

India vs Iran: Tropical nightsTropical nights in 2014: 215.5 nights in India and 90.8 nights in Iran, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 124.7 nights, or 2.37 times that in Iran.
IndiaIranCMIP6 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 Iran at 124.4 nights in 2100.

Every year

nights a year · CMIP6

YearIndiaIran
2014215.590.8
201321690.6
2012217.490.3
2011215.589.8
2010215.287
2009213.787.2
2008213.788
2007213.387.9
2006212.588.2
2005212.987.1
2004214.986.4
2003212.185.9
200221387.7
2001212.286.6
2000210.886.5
1999211.985.1
1998210.383.8
1997209.584.3
199620782.4
1995208.881.6
1994207.180.6
199320677.7
1992203.577
199120881.9
1990209.983.1
198920881.7
1988207.380.4
1987207.279.8
1986207.280.1
1985205.979.7
1984206.778.8
1983203.375.5
1982205.777.9
1981208.480.2
1980205.379.4
1979205.580.2
1978204.178.1
1977205.977.8
1976204.677.2
1975202.676.6
1974205.376.4
1973205.676.9
1972203.877.4
1971203.675
1970202.675.3
1969203.675.6
1968201.776.3
1967201.676.1
1966203.975.5
1965202.475.3
1964201.275.3
1963201.876.4
1962203.877.5
1961206.377.7
196020677.6
1959206.176.8
195820478.4
1957206.578.2
195620476.2
1955203.276.5
195420677.6
195320477.3
1952204.478.2
1951204.376.6
1950206.377.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIndiaIran
2015216.9202.1–228.494.482.7–106
2016215202.5–227.694.183.1–105.3
2017216.2202.1–228.593.981.7–104
2018218.3204.5–231.494.183–106.3
2019217.4202.3–230.495.183.4–105.8
2020217.6203.1–23295.985.5–107.5
2021219.7204.5–233.297.286–107.7
2022220.5205.8–23396.285.2–108.3
2023220.4206.4–233.798.485.7–110.6
2024222.6208.1–236.39885.1–110.5
2025219.7202.7–236.298.787.2–110.5
2026220.2204.2–236.899.186.7–111.7
2027223.6207.1–239100.288.7–112.1
2028222.1205.1–235.799.686.2–111.6
2029225.4210–240.399.386.7–109.9
2030222.7207.3–235.6100.889.8–111.6
2031223.8207.1–237.8102.990.1–114.8
2032225.9210–240.5101.289–113.9
2033223.8209.3–235.4102.889.9–115.1
2034225.8210–242.7104.690.7–117.3
2035224.9210.6–240.910592.1–116.2
2036224.2210.4–240.3103.591.4–115.2
2037228.3213.6–242.610693.1–119.4
2038228.1212.6–241.4105.993.2–116.5
2039227.4211.9–242.8104.392.9–116.6
2040227212.2–242105.592.3–118.4
2041227.1210.7–240.5104.892.5–116.4
2042229.1214.8–244.2107.793.4–120.7
2043228.9214.5–24410692.9–118.8
2044229.7214.7–244.2106.893.6–121.2
2045231.2216.6–246.1108.795.1–121.8
2046232.6216.2–248.6109.296.1–121.9
2047232.4215.5–250110.596.9–123.3
2048235.6218.5–254.3111.498.6–124
2049235.3218.3–249.911095.7–123.4
2050233.5216.6–253.4112.199.6–125.1
2051234.9218.6–249.9111.797.6–124.1
2052234219.4–249.311298.3–126
2053234.9219.5–252.5111.597.5–124
2054237.2219.4–253.1111.899–126.3
2055237.2220.7–256.6114.6101.4–128
2056238.8221.2–254.9113.1100.2–126.2
2057235.7218.5–253.8113.899.9–128.9
2058238.8222.8–254.1114.2100–127.7
2059241.1224.9–256.2113.498.9–126.3
2060240.9225.6–255.6116.3100.3–129.5
2061237.9220.6–253.7115100.5–127.6
2062239.9221.2–259.7115.799.7–131.1
2063239.9222.3–256.1117103.7–130.3
2064240223.8–256.3115.1101.7–130.3
2065240.9222.9–257.3117.3102.8–132.3
2066241.5224.1–258.6117.7103.7–132.1
2067241.6224.8–257.9119103–133.5
2068242.3224.6–262.1118.1104.3–131.4
2069242.8225.4–259.1118.4103.8–133.2
2070240.1225.3–257.1118.2104.9–132.9
2071241.8223.7–260.2119.3105.1–135.3
2072242.6225.4–259.2119103.2–135.1
2073243.8228–259.3120.6104.9–137.7
2074241.6226.9–258.4119.1104.4–134.5
2075243.5226.4–258.2119.7105.9–135.5
2076243.2224.6–259.9118.9102.6–137
2077243.7226.6–264.6120.3104.3–135.3
2078246.7230.1–261.5119.2105.3–136
2079244.9226.4–261.3120.1103.2–135.6
2080246.7227–263.7120.4106.1–139.5
2081247.5230.4–264.8120.5104.3–137.1
2082244.6227.9–262.3122.5107.5–137.7
2083247.5227.8–265.1122.6105.8–140.4
2084247.3228.3–266.8123.7107.6–139.1
2085246.5227.5–267.1121.3106.6–140.6
2086245.6227.7–266.5122.1107.9–139.8
2087245.5226.7–266.2123.7108–140.7
2088247229.4–266.9124106.5–142.2
2089248.1230–266.3124.1109–139.7
2090249228.9–266.4122.5105.4–141.9
2091248.9230–266.5124.3108–140.5
2092249.8232.3–267.8125.5110.1–140
2093248.1229–266.5124.5109–139.3
2094249.1230.6–268.4125108.7–142.9
2095251233.2–270125.3108.5–141
2096247.8231.4–269.3125.8109–142.4
2097251.1231.4–268123.6106.9–141.8
2098252.3230.8–268.3125.8109.4–143.8
2099248.7230.1–268.3123.1107.8–140.1
2100250.4232.9–266.7124.4107.9–143.7

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

India vs Iran

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment