Ethiopia vs Zambia

Ethiopia vs Zambia: Tropical nights

Tropical nights in 2014: 144.9 nights in Ethiopia and 62.9 nights in Zambia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ethiopia, by 82 nights, or 2.3 times that in Zambia.

nights a year · CMIP6

Ethiopia vs Zambia: Tropical nightsTropical nights in 2014: 144.9 nights in Ethiopia and 62.9 nights in Zambia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ethiopia, by 82 nights, or 2.3 times that in Zambia.
EthiopiaZambiaCMIP6 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 Zambia at 171.5 nights in 2100.

Every year

nights a year · CMIP6

YearEthiopiaZambia
2014144.962.9
2013145.164.7
2012144.463.9
2011145.661.5
2010142.459.3
2009140.357.5
2008137.156
2007138.255.1
2006138.755.9
2005138.154.5
2004139.158.4
2003138.856.6
2002137.455
2001139.259
2000135.552.9
1999132.648
1998132.951.3
1997132.747.8
1996129.743.5
1995127.843.9
1994126.341.6
1993122.535.3
1992119.736
1991129.542.7
1990132.746.4
1989129.445
1988128.243.6
1987126.444
1986128.143.8
1985122.838.7
1984124.838.7
1983120.638.8
1982126.340
198112741.7
1980124.939.7
1979125.140.7
1978124.738.9
1977125.840
197612235.7
1975119.537.1
197412437.4
1973125.238.8
1972122.335
1971120.636
1970121.338.1
1969120.437.1
1968119.134.1
1967118.132.2
1966119.533.1
1965117.434.9
1964116.631.3
1963115.730.5
1962121.638.8
1961124.237
1960124.539.3
1959121.638.3
1958124.139
1957123.237.8
1956120.934.6
1955122.838.2
1954121.638
1953121.235.4
1952122.837.6
195112336.9
195012236
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEthiopiaZambia
2015146.6129.4–163.972.150.1–93.9
2016144.1127–160.666.845.9–85.7
2017148.3129.2–164.971.449.7–92.5
2018149.6131.6–16673.852.7–94.8
2019146.2129.3–16673.354–97.6
2020149.4129.6–168.577.556.9–100.4
2021150.7132.1–17076.755.7–104.5
2022154135.7–171.284.861.6–109.7
2023153.5135.4–171.484.763–108
2024156.5135.9–175.685.158.2–113.9
2025154132.6–175.584.957.1–116
2026153132–17583.658.4–119.4
2027154.2134.4–175.389.562.5–115.7
2028157.5138.3–177.489.965–118.6
2029159.2141.8–176.89669.8–122.8
2030156.8136.3–175.79166.7–118.1
2031161.4142.4–179.197.668.2–121.3
2032161.7143.1–182.594.970.3–122.2
2033161.8140–180.998.270.1–123.6
2034158.8141.5–184.397.370.4–135.2
2035162141.7–184.2104.168.4–137.8
2036160.5143.6–179.499.568.7–131.5
2037165145.8–184.5107.177.4–139.8
2038167.1146.5–186.7110.383.2–138.8
2039164.5143.9–186101.874.3–139.1
2040165.9146.2–190.1100.872.5–145.3
2041167.9146.3–189.3113.978.7–147.6
2042167.7146–194.3111.379.1–155.1
2043167.3145.5–190.8106.678.3–150.6
2044168.2148.2–189.9110.574.3–145.5
2045170.7149.1–192.3109.882.2–148.2
2046175.3150–198.6119.485.9–160
2047176.9151.8–197.5123.191.1–159.4
2048177.5155.4–199.1124.590.6–160.2
2049177.5157.9–198.4124.586.1–167.1
2050176.4153.8–199130.592–166
2051176.6155.3–199.7128.498.1–169.8
2052177155.6–200.7130.798.6–170.4
2053176.7154.2–201.6128.488–168.8
2054177.6156.9–201.1132.193–169.6
2055180.6155.2–202.3132.1100.1–176.1
2056177.3155–205.4132.492.7–179.6
2057180.3159.3–205.5133.298.5–178.5
2058182.6153.7–209.4137.299.2–179.7
2059185.7160.1–210.6139.8105.8–189.5
2060185.9160.3–210.4145.4102.9–191
2061183.3158.3–211.7136.692.8–196.9
2062183.8155.4–213143.9101–194.7
2063184.5159.1–208.6144.5101.7–187.8
2064186.7160.6–207.2147.998.4–180.9
2065183.7162.4–212.9148.6104.3–199.8
2066187.1165.4–210.1152.1109.4–193.6
2067187.1160.7–214.5140.6103.2–195.7
2068187.6160.4–215.8150.8105.7–200.3
2069187.8165.4–215.8150.5106.3–197
2070187.9161.6–216.9145.8104.7–202.4
2071192.7165.2–219.5153.1112.7–212
2072193.6167.4–214.5157.2120–195.7
2073193.3169.7–218.7161.5115.2–210.9
2074188.5163.9–219149.2115–198.7
2075191.9162.7–218.6148.2111.5–202.2
2076195166.9–218.9150.4112–201.9
2077194.1169.3–223.3156.5120.3–208.3
2078192.1168.4–218.6157.2122.2–209.5
2079193.4166.6–220.9156.8118.1–207.3
2080196.1169.2–222.4159.8116–211.9
2081194.6171–221.4160.2117.1–208.6
2082195.4168.8–219.9159.6119.6–200.6
2083194.6168.2–228.7159.5110.7–219.9
2084198.5170.7–224.2166124.3–210.3
2085198.4173.1–226.3172.9126.8–221.1
2086198.6172.3–228.4161.9120.6–224.1
2087199170.6–226.6158.3129.2–219.6
2088199170.7–227.7168.4123.9–218.5
2089198.6171.2–226.2168.5129.9–217.9
2090198.6173.4–227.7165.7124–223.8
2091203.6171.9–232.1177.4129.5–227.2
2092200.7172.5–229.7170.6127.8–221.5
2093201.4175.2–228.6173.6123.6–223.3
2094200.2174–228.9171.4130.3–220.7
2095203.9175.7–231.9179131.6–228.6
2096199.1170.5–230.8170.8124.8–233.3
2097198.4171.8–229.3167.2122.2–224.3
2098198.7172.1–231.5172.5131.9–226.9
2099201.8172.8–233.3171.7126.5–229.1
2100201.7175.1–231.8171.5124.3–228

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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