Ethiopia vs Tanzania

Ethiopia vs Tanzania: Tropical nights

Tropical nights in 2014: 144.9 nights in Ethiopia and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ethiopia, by 38.6 nights, or 1.36 times that in Tanzania.

Watch it change on the map

nights a year · CMIP6

Ethiopia vs Tanzania: Tropical nightsTropical nights in 2014: 144.9 nights in Ethiopia and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ethiopia, by 38.6 nights, or 1.36 times that in Tanzania.
EthiopiaTanzaniaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Ethiopia 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 Tanzania at 208 nights in 2100.

Every year

nights a year · CMIP6

YearEthiopiaTanzania
2014144.9106.3
2013145.1105.5
2012144.4108.4
2011145.6109
2010142.4103.9
2009140.3101.1
2008137.1100.3
2007138.299.5
2006138.7100.4
2005138.198.7
2004139.1100.4
2003138.899.6
2002137.498.4
2001139.2101.5
2000135.594.9
1999132.694.2
1998132.996.8
1997132.793.5
1996129.789.6
1995127.888.5
1994126.385.4
1993122.581.2
1992119.780.1
1991129.589.6
1990132.791.1
1989129.489.1
1988128.287.6
1987126.488.5
1986128.189.4
1985122.883
1984124.883.1
1983120.682.1
1982126.384.8
198112788
1980124.985
1979125.185.5
1978124.782.9
1977125.884.1
197612281
1975119.580.8
197412482.2
1973125.283.6
1972122.381.4
1971120.680.7
1970121.381.8
1969120.479.5
1968119.179.1
1967118.177.5
1966119.578.1
1965117.478
1964116.673.8
1963115.773.1
1962121.681.1
1961124.282.6
1960124.583.9
1959121.681.4
1958124.182.1
1957123.280.9
1956120.980
1955122.881.6
1954121.681.4
1953121.280.6
1952122.881.4
195112382.1
195012280.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEthiopiaTanzania
2015146.6129.4–163.9114.895.2–137.4
2016144.1127–160.6108.391.6–125.6
2017148.3129.2–164.9114.893.6–137.8
2018149.6131.6–166116.497.4–137.1
2019146.2129.3–166113.495.2–133.2
2020149.4129.6–168.5119.396.2–143.5
2021150.7132.1–170119.5100.9–147.1
2022154135.7–171.2124.4105.3–147.4
2023153.5135.4–171.4122.1102.1–147.8
2024156.5135.9–175.6126.2100–150.1
2025154132.6–175.5124.6100.9–154
2026153132–175126.999.1–155.6
2027154.2134.4–175.3128102.9–147.7
2028157.5138.3–177.4129.9106.4–152.1
2029159.2141.8–176.8134.1111–156.5
2030156.8136.3–175.7129.4106.4–151.1
2031161.4142.4–179.1136.4115.9–158.4
2032161.7143.1–182.5135.1114–166.8
2033161.8140–180.9135.2110.9–161.9
2034158.8141.5–184.3134.7112.5–166.3
2035162141.7–184.2140.2114.6–165
2036160.5143.6–179.4137.8113.3–165.5
2037165145.8–184.5142.9121.5–168.9
2038167.1146.5–186.7147.9124.3–169.3
2039164.5143.9–186144.3117.6–171.3
2040165.9146.2–190.1140.5117–178
2041167.9146.3–189.3149.1121.7–175.6
2042167.7146–194.3146.3120.5–185.3
2043167.3145.5–190.8144.6117–173
2044168.2148.2–189.9147.7121.2–175.8
2045170.7149.1–192.3150.1125.2–183.4
2046175.3150–198.6161.5128.6–192.2
2047176.9151.8–197.5160.2129.7–194.4
2048177.5155.4–199.1158.8132.7–193.1
2049177.5157.9–198.4157.6131.1–196
2050176.4153.8–199159.7127.8–192
2051176.6155.3–199.7163.2135.5–197.8
2052177155.6–200.7161.9136.2–199.1
2053176.7154.2–201.6160.6127.5–197.7
2054177.6156.9–201.1163.2131.5–200.2
2055180.6155.2–202.3167.4137–208.3
2056177.3155–205.4166.4130.8–209.7
2057180.3159.3–205.5168134.6–208.3
2058182.6153.7–209.4168.7134.9–210.3
2059185.7160.1–210.6174.7144.9–219.5
2060185.9160.3–210.4181.7138.1–219.8
2061183.3158.3–211.7171.8135.5–218.1
2062183.8155.4–213177.5139.9–224
2063184.5159.1–208.6181.4140.1–213.8
2064186.7160.6–207.2185.3140.1–215.2
2065183.7162.4–212.9183.5141.1–221.8
2066187.1165.4–210.1181.9146.3–219.3
2067187.1160.7–214.5178.8138.8–229.2
2068187.6160.4–215.8186144.2–228.4
2069187.8165.4–215.8183.7141.7–225.3
2070187.9161.6–216.9180.7140.4–228.2
2071192.7165.2–219.5184.9146.9–235.2
2072193.6167.4–214.5191.3155–226.1
2073193.3169.7–218.7191.6152.4–235.6
2074188.5163.9–219183.3149.7–231.7
2075191.9162.7–218.6183.8144.8–233
2076195166.9–218.9191.1150.9–233.2
2077194.1169.3–223.3191.3152.6–238.2
2078192.1168.4–218.6189156.6–233.8
2079193.4166.6–220.9190.5147–237.3
2080196.1169.2–222.4197.3150.7–241.2
2081194.6171–221.4195.6153.4–237.4
2082195.4168.8–219.9194.5157.3–237.3
2083194.6168.2–228.7193.2151–249.8
2084198.5170.7–224.2201.1152.2–246.7
2085198.4173.1–226.3204.2162.3–252.3
2086198.6172.3–228.4195156–248.7
2087199170.6–226.6196.7160.8–244.5
2088199170.7–227.7208.4154.7–246.9
2089198.6171.2–226.2201.3158.6–248.2
2090198.6173.4–227.7197.9160.7–253.6
2091203.6171.9–232.1210161.6–256
2092200.7172.5–229.7205.8158.3–253.6
2093201.4175.2–228.6207.2161.2–251.9
2094200.2174–228.9207.9161.3–250.6
2095203.9175.7–231.9214.2166.4–258.5
2096199.1170.5–230.8205.3159.8–257.4
2097198.4171.8–229.3206.6158.4–256.8
2098198.7172.1–231.5209.1161–258.3
2099201.8172.8–233.3208.5160.1–256
2100201.7175.1–231.8208158.6–258.6

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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