Ethiopia vs Pakistan

Ethiopia vs Pakistan: Tropical nights

Tropical nights in 2014: 144.9 nights in Ethiopia and 149.9 nights in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 5 nights, or 1.03 times that in Ethiopia.

Watch it change on the map

nights a year · CMIP6

Ethiopia vs Pakistan: Tropical nightsTropical nights in 2014: 144.9 nights in Ethiopia and 149.9 nights in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 5 nights, or 1.03 times that in Ethiopia.
EthiopiaPakistanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Pakistan 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 Pakistan at 177.6 nights in 2100.

Every year

nights a year · CMIP6

YearEthiopiaPakistan
2014144.9149.9
2013145.1149.1
2012144.4149.9
2011145.6149
2010142.4148.4
2009140.3147.1
2008137.1147.4
2007138.2147.3
2006138.7146.7
2005138.1146.5
2004139.1147.5
2003138.8146
2002137.4148.3
2001139.2145.4
2000135.5144.7
1999132.6146.9
1998132.9144.8
1997132.7143.2
1996129.7141.2
1995127.8141.8
1994126.3142.1
1993122.5140.4
1992119.7139.9
1991129.5142.5
1990132.7142.6
1989129.4142.5
1988128.2140.3
1987126.4140
1986128.1140
1985122.8140
1984124.8138.9
1983120.6136.3
1982126.3138.5
1981127141.5
1980124.9139.5
1979125.1139.1
1978124.7139
1977125.8138.6
1976122139.2
1975119.5136.5
1974124138.7
1973125.2137.8
1972122.3137.4
1971120.6136
1970121.3137.7
1969120.4135.9
1968119.1136.6
1967118.1135.2
1966119.5136.9
1965117.4138.3
1964116.6135.1
1963115.7135.7
1962121.6137
1961124.2138.6
1960124.5139
1959121.6138.6
1958124.1137.7
1957123.2140
1956120.9137.8
1955122.8137.5
1954121.6137.8
1953121.2136.9
1952122.8138.1
1951123136.7
1950122139.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEthiopiaPakistan
2015146.6129.4–163.9152.4138.7–163.3
2016144.1127–160.6150.6139.4–161.7
2017148.3129.2–164.9151.3138.8–162
2018149.6131.6–166152.6139.8–161.8
2019146.2129.3–166151.8138.1–163.3
2020149.4129.6–168.5153.1140.3–164.5
2021150.7132.1–170154.1140.6–165.7
2022154135.7–171.2153.1140.2–165.7
2023153.5135.4–171.4155.5141.6–165.9
2024156.5135.9–175.6156.8143.3–168.7
2025154132.6–175.5155.7141.5–168.6
2026153132–175155.3142.2–167.9
2027154.2134.4–175.3156.8140.9–168.9
2028157.5138.3–177.4156.5143.9–167.6
2029159.2141.8–176.8155.9141.5–167.7
2030156.8136.3–175.7156.3143.3–167.6
2031161.4142.4–179.1157.3144.4–168.1
2032161.7143.1–182.5157.4142.5–169.6
2033161.8140–180.9157.7143.6–169.4
2034158.8141.5–184.3159.5145.6–173.4
2035162141.7–184.2159.3146.7–170.3
2036160.5143.6–179.4159.1147.5–171.4
2037165145.8–184.5162.2147.5–175.3
2038167.1146.5–186.7161.4148.6–171.7
2039164.5143.9–186160148.2–170.4
2040165.9146.2–190.1160.9147.9–171.3
2041167.9146.3–189.3160.8146.7–171.7
2042167.7146–194.3162.3149.9–175.6
2043167.3145.5–190.8161.1150.3–173.8
2044168.2148.2–189.9163150.9–173.9
2045170.7149.1–192.3163149.5–174.8
2046175.3150–198.6163.5149.8–177.2
2047176.9151.8–197.5165.2151.8–178.5
2048177.5155.4–199.1166.4154.1–179.4
2049177.5157.9–198.4165150.8–178.2
2050176.4153.8–199166.9153.5–179.3
2051176.6155.3–199.7165.6150.8–180
2052177155.6–200.7166.7155.4–179.5
2053176.7154.2–201.6166.3154.2–178.8
2054177.6156.9–201.1167.5153.9–181
2055180.6155.2–202.3167.8155.8–182.5
2056177.3155–205.4166.3153.6–179.7
2057180.3159.3–205.5168.3153.9–182.3
2058182.6153.7–209.4167.5157–179.9
2059185.7160.1–210.6170.9155.9–183.8
2060185.9160.3–210.4170.3156.5–181.8
2061183.3158.3–211.7168.8156.8–179.6
2062183.8155.4–213171.6153.5–186.5
2063184.5159.1–208.6171.3159.5–183.8
2064186.7160.6–207.2170.2155.3–184.5
2065183.7162.4–212.9169.7156.4–185
2066187.1165.4–210.1172.2157–186.7
2067187.1160.7–214.5173.2160.2–186.3
2068187.6160.4–215.8172.6157.7–186.3
2069187.8165.4–215.8171.8157.3–185.6
2070187.9161.6–216.9171.7158.9–186.7
2071192.7165.2–219.5173.4158.7–186.8
2072193.6167.4–214.5174161.5–186.9
2073193.3169.7–218.7175.6157.2–187.9
2074188.5163.9–219173.5160–186.3
2075191.9162.7–218.6173161.5–187.8
2076195166.9–218.9172.9158.8–186.7
2077194.1169.3–223.3175161.3–187.8
2078192.1168.4–218.6174.4160.9–189.3
2079193.4166.6–220.9172.5158.3–187.7
2080196.1169.2–222.4175.1160.7–189.2
2081194.6171–221.4174.9159.2–190.2
2082195.4168.8–219.9175.4161.8–190.6
2083194.6168.2–228.7176.5161.8–190.8
2084198.5170.7–224.2176.1160.9–190.5
2085198.4173.1–226.3176.3161.9–193.6
2086198.6172.3–228.4173.9160–189.1
2087199170.6–226.6176161–193.1
2088199170.7–227.7175.4160.5–195.2
2089198.6171.2–226.2177.2164.2–191.7
2090198.6173.4–227.7177.7163.9–192.2
2091203.6171.9–232.1177.8162.8–192.2
2092200.7172.5–229.7178.7162.9–192.9
2093201.4175.2–228.6177164–191
2094200.2174–228.9176.8164.1–190.7
2095203.9175.7–231.9178.6163.8–193.1
2096199.1170.5–230.8177.8163.7–192.5
2097198.4171.8–229.3177.3160.4–192.5
2098198.7172.1–231.5178.7162.6–195.7
2099201.8172.8–233.3176159.9–193.2
2100201.7175.1–231.8177.6162.2–193

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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