Ethiopia vs Zimbabwe

Ethiopia vs Zimbabwe: Tropical nights

Tropical nights in 2014: 144.9 nights in Ethiopia and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ethiopia, by 68.5 nights, or 1.9 times that in Zimbabwe.

nights a year · CMIP6

Ethiopia vs Zimbabwe: Tropical nightsTropical nights in 2014: 144.9 nights in Ethiopia and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ethiopia, by 68.5 nights, or 1.9 times that in Zimbabwe.
EthiopiaZimbabweCMIP6 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 Zimbabwe at 148.3 nights in 2100.

Every year

nights a year · CMIP6

YearEthiopiaZimbabwe
2014144.976.4
2013145.178.4
2012144.475.9
2011145.673.3
2010142.471.5
2009140.369.6
2008137.169.8
2007138.269.3
2006138.770.3
2005138.169.5
2004139.171.8
2003138.872.9
2002137.471.3
2001139.271.3
2000135.567.4
1999132.662.3
1998132.966.3
1997132.762
1996129.757.7
1995127.858.9
1994126.356.8
1993122.550.1
1992119.752.1
1991129.558.7
1990132.761.5
1989129.460.4
1988128.261.6
1987126.457.3
1986128.158.6
1985122.854.1
1984124.854.6
1983120.653.3
1982126.353.7
198112757
1980124.957.3
1979125.156.2
1978124.753.1
1977125.855.2
197612251.2
1975119.553.6
197412454.2
1973125.253.9
1972122.353.2
1971120.651.1
1970121.353.1
1969120.453.3
1968119.148.7
1967118.148.7
1966119.548.8
1965117.448.6
1964116.644.6
1963115.747.4
1962121.655.8
1961124.251.6
1960124.555.6
1959121.653.6
1958124.155.3
1957123.253.2
1956120.948.6
1955122.854.4
1954121.653
1953121.251.8
1952122.852.7
195112352.3
195012251.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEthiopiaZimbabwe
2015146.6129.4–163.979.463.5–98.5
2016144.1127–160.678.657.9–101.7
2017148.3129.2–164.981.263.3–98.5
2018149.6131.6–16682.160.5–104.1
2019146.2129.3–16682.863.9–102.3
2020149.4129.6–168.584.362.9–106.9
2021150.7132.1–17082.564.7–102.7
2022154135.7–171.289.870.1–108.8
2023153.5135.4–171.490.672.5–110.7
2024156.5135.9–175.693.769.8–113.4
2025154132.6–175.58865.1–114.6
2026153132–17589.767.8–113.9
2027154.2134.4–175.395.668.4–119.6
2028157.5138.3–177.493.371.4–115.7
2029159.2141.8–176.8100.277.2–120
2030156.8136.3–175.79671.6–115.3
2031161.4142.4–179.19874.9–119.8
2032161.7143.1–182.598.574.7–118.5
2033161.8140–180.998.974–120.6
2034158.8141.5–184.3100.277.3–128.1
2035162141.7–184.2103.975.7–130.6
2036160.5143.6–179.4100.878–123
2037165145.8–184.510882.1–131.1
2038167.1146.5–186.7110.986.5–135
2039164.5143.9–186102.480.4–122.3
2040165.9146.2–190.1101.379.5–133.5
2041167.9146.3–189.3108.483.7–134.2
2042167.7146–194.3108.883.1–139.9
2043167.3145.5–190.8107.985.7–137.3
2044168.2148.2–189.9111.287–134.8
2045170.7149.1–192.3106.186.2–130.7
2046175.3150–198.6112.386.4–139.1
2047176.9151.8–197.5119.692.1–145.9
2048177.5155.4–199.1116.888.4–143.9
2049177.5157.9–198.4119.290.4–146.2
2050176.4153.8–199122.794.1–148.6
2051176.6155.3–199.7122.4100.9–147.7
2052177155.6–200.7124.2101.3–152.8
2053176.7154.2–201.6121.689–146.9
2054177.6156.9–201.1123.993.9–150.8
2055180.6155.2–202.3126.597.9–153.7
2056177.3155–205.4126.198–154.7
2057180.3159.3–205.5122.797.6–150.7
2058182.6153.7–209.4125.3103–154.1
2059185.7160.1–210.6132.2107.4–157.4
2060185.9160.3–210.4132.599.9–159
2061183.3158.3–211.7126.694.2–161.1
2062183.8155.4–213126.399.6–157.3
2063184.5159.1–208.6127.7101–159.7
2064186.7160.6–207.2130.498–151.3
2065183.7162.4–212.9132.4107.6–165.6
2066187.1165.4–210.1134.5106.8–159.8
2067187.1160.7–214.5125.598.9–160.5
2068187.6160.4–215.8134102.3–166.1
2069187.8165.4–215.8136.9106.4–164.2
2070187.9161.6–216.9133.199.8–166.3
2071192.7165.2–219.5135.2108.4–173.7
2072193.6167.4–214.5140.4110.6–166.8
2073193.3169.7–218.7140.9109.7–173.6
2074188.5163.9–219135.5112–170.6
2075191.9162.7–218.6136108.5–166.6
2076195166.9–218.9133.7105.9–163.7
2077194.1169.3–223.3140.2114.3–170.6
2078192.1168.4–218.6137.5111.3–172.3
2079193.4166.6–220.9136.9110.2–172.6
2080196.1169.2–222.4145115.8–173.2
2081194.6171–221.4147.2106.5–174.1
2082195.4168.8–219.9141.4111.4–169.9
2083194.6168.2–228.7143.6106.5–179.2
2084198.5170.7–224.2149.4117.3–176.9
2085198.4173.1–226.3154.3114.9–182.7
2086198.6172.3–228.4141.7115.3–176.1
2087199170.6–226.6142.7116.8–177.3
2088199170.7–227.7150.2118.3–178.9
2089198.6171.2–226.2148.9121.3–176.4
2090198.6173.4–227.7145.7113.7–179.4
2091203.6171.9–232.1149.7116.5–181.8
2092200.7172.5–229.7149.4119.7–181.7
2093201.4175.2–228.6152.5117.1–184.1
2094200.2174–228.9150.9117.3–182.2
2095203.9175.7–231.9155118.3–181.5
2096199.1170.5–230.8152.4113.1–189.2
2097198.4171.8–229.3144.1113.8–183.3
2098198.7172.1–231.5152.4119.2–187
2099201.8172.8–233.3152.9117.3–185
2100201.7175.1–231.8148.3120.1–184.6

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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