Ethiopia vs India

Ethiopia vs India: Tropical nights

Tropical nights in 2014: 144.9 nights in Ethiopia and 215.5 nights in India, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 70.6 nights, or 1.49 times that in Ethiopia.

Watch it change on the map

nights a year · CMIP6

Ethiopia vs India: Tropical nightsTropical nights in 2014: 144.9 nights in Ethiopia and 215.5 nights in India, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 70.6 nights, or 1.49 times that in Ethiopia.
EthiopiaIndiaCMIP6 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 Ethiopia at 201.7 nights and India at 250.4 nights in 2100.

Every year

nights a year · CMIP6

YearEthiopiaIndia
2014144.9215.5
2013145.1216
2012144.4217.4
2011145.6215.5
2010142.4215.2
2009140.3213.7
2008137.1213.7
2007138.2213.3
2006138.7212.5
2005138.1212.9
2004139.1214.9
2003138.8212.1
2002137.4213
2001139.2212.2
2000135.5210.8
1999132.6211.9
1998132.9210.3
1997132.7209.5
1996129.7207
1995127.8208.8
1994126.3207.1
1993122.5206
1992119.7203.5
1991129.5208
1990132.7209.9
1989129.4208
1988128.2207.3
1987126.4207.2
1986128.1207.2
1985122.8205.9
1984124.8206.7
1983120.6203.3
1982126.3205.7
1981127208.4
1980124.9205.3
1979125.1205.5
1978124.7204.1
1977125.8205.9
1976122204.6
1975119.5202.6
1974124205.3
1973125.2205.6
1972122.3203.8
1971120.6203.6
1970121.3202.6
1969120.4203.6
1968119.1201.7
1967118.1201.6
1966119.5203.9
1965117.4202.4
1964116.6201.2
1963115.7201.8
1962121.6203.8
1961124.2206.3
1960124.5206
1959121.6206.1
1958124.1204
1957123.2206.5
1956120.9204
1955122.8203.2
1954121.6206
1953121.2204
1952122.8204.4
1951123204.3
1950122206.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEthiopiaIndia
2015146.6129.4–163.9216.9202.1–228.4
2016144.1127–160.6215202.5–227.6
2017148.3129.2–164.9216.2202.1–228.5
2018149.6131.6–166218.3204.5–231.4
2019146.2129.3–166217.4202.3–230.4
2020149.4129.6–168.5217.6203.1–232
2021150.7132.1–170219.7204.5–233.2
2022154135.7–171.2220.5205.8–233
2023153.5135.4–171.4220.4206.4–233.7
2024156.5135.9–175.6222.6208.1–236.3
2025154132.6–175.5219.7202.7–236.2
2026153132–175220.2204.2–236.8
2027154.2134.4–175.3223.6207.1–239
2028157.5138.3–177.4222.1205.1–235.7
2029159.2141.8–176.8225.4210–240.3
2030156.8136.3–175.7222.7207.3–235.6
2031161.4142.4–179.1223.8207.1–237.8
2032161.7143.1–182.5225.9210–240.5
2033161.8140–180.9223.8209.3–235.4
2034158.8141.5–184.3225.8210–242.7
2035162141.7–184.2224.9210.6–240.9
2036160.5143.6–179.4224.2210.4–240.3
2037165145.8–184.5228.3213.6–242.6
2038167.1146.5–186.7228.1212.6–241.4
2039164.5143.9–186227.4211.9–242.8
2040165.9146.2–190.1227212.2–242
2041167.9146.3–189.3227.1210.7–240.5
2042167.7146–194.3229.1214.8–244.2
2043167.3145.5–190.8228.9214.5–244
2044168.2148.2–189.9229.7214.7–244.2
2045170.7149.1–192.3231.2216.6–246.1
2046175.3150–198.6232.6216.2–248.6
2047176.9151.8–197.5232.4215.5–250
2048177.5155.4–199.1235.6218.5–254.3
2049177.5157.9–198.4235.3218.3–249.9
2050176.4153.8–199233.5216.6–253.4
2051176.6155.3–199.7234.9218.6–249.9
2052177155.6–200.7234219.4–249.3
2053176.7154.2–201.6234.9219.5–252.5
2054177.6156.9–201.1237.2219.4–253.1
2055180.6155.2–202.3237.2220.7–256.6
2056177.3155–205.4238.8221.2–254.9
2057180.3159.3–205.5235.7218.5–253.8
2058182.6153.7–209.4238.8222.8–254.1
2059185.7160.1–210.6241.1224.9–256.2
2060185.9160.3–210.4240.9225.6–255.6
2061183.3158.3–211.7237.9220.6–253.7
2062183.8155.4–213239.9221.2–259.7
2063184.5159.1–208.6239.9222.3–256.1
2064186.7160.6–207.2240223.8–256.3
2065183.7162.4–212.9240.9222.9–257.3
2066187.1165.4–210.1241.5224.1–258.6
2067187.1160.7–214.5241.6224.8–257.9
2068187.6160.4–215.8242.3224.6–262.1
2069187.8165.4–215.8242.8225.4–259.1
2070187.9161.6–216.9240.1225.3–257.1
2071192.7165.2–219.5241.8223.7–260.2
2072193.6167.4–214.5242.6225.4–259.2
2073193.3169.7–218.7243.8228–259.3
2074188.5163.9–219241.6226.9–258.4
2075191.9162.7–218.6243.5226.4–258.2
2076195166.9–218.9243.2224.6–259.9
2077194.1169.3–223.3243.7226.6–264.6
2078192.1168.4–218.6246.7230.1–261.5
2079193.4166.6–220.9244.9226.4–261.3
2080196.1169.2–222.4246.7227–263.7
2081194.6171–221.4247.5230.4–264.8
2082195.4168.8–219.9244.6227.9–262.3
2083194.6168.2–228.7247.5227.8–265.1
2084198.5170.7–224.2247.3228.3–266.8
2085198.4173.1–226.3246.5227.5–267.1
2086198.6172.3–228.4245.6227.7–266.5
2087199170.6–226.6245.5226.7–266.2
2088199170.7–227.7247229.4–266.9
2089198.6171.2–226.2248.1230–266.3
2090198.6173.4–227.7249228.9–266.4
2091203.6171.9–232.1248.9230–266.5
2092200.7172.5–229.7249.8232.3–267.8
2093201.4175.2–228.6248.1229–266.5
2094200.2174–228.9249.1230.6–268.4
2095203.9175.7–231.9251233.2–270
2096199.1170.5–230.8247.8231.4–269.3
2097198.4171.8–229.3251.1231.4–268
2098198.7172.1–231.5252.3230.8–268.3
2099201.8172.8–233.3248.7230.1–268.3
2100201.7175.1–231.8250.4232.9–266.7

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

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