Ethiopia vs Uganda

Ethiopia vs Uganda: Tropical nights

Tropical nights in 2014: 144.9 nights in Ethiopia and 124.7 nights in Uganda, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ethiopia, by 20.2 nights, or 1.16 times that in Uganda.

Watch it change on the map

nights a year · CMIP6

Ethiopia vs Uganda: Tropical nightsTropical nights in 2014: 144.9 nights in Ethiopia and 124.7 nights in Uganda, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ethiopia, by 20.2 nights, or 1.16 times that in Uganda.
EthiopiaUgandaCMIP6 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 Uganda at 245.3 nights in 2100.

Every year

nights a year · CMIP6

YearEthiopiaUganda
2014144.9124.7
2013145.1124
2012144.4122.2
2011145.6125.7
2010142.4122.5
2009140.3114.8
2008137.1114.1
2007138.2111.2
2006138.7117.4
2005138.1113.8
2004139.1114.6
2003138.8114.4
2002137.4114.4
2001139.2117.1
2000135.5109
1999132.6105.5
1998132.9105
1997132.7106.1
1996129.7102.1
1995127.899.9
1994126.394.6
1993122.590.8
1992119.789.9
1991129.5102.1
1990132.7103.8
1989129.499.1
1988128.298.6
1987126.498.3
1986128.199.2
1985122.892.1
1984124.894.6
1983120.690.4
1982126.394.4
198112798.5
1980124.996.3
1979125.193.9
1978124.791
1977125.895.1
197612292
1975119.589.6
197412491.8
1973125.292.8
1972122.390
1971120.687.1
1970121.388.8
1969120.488
1968119.187.3
1967118.182.3
1966119.582.5
1965117.482.2
1964116.678.2
1963115.780.3
1962121.688.5
1961124.290.7
1960124.593.2
1959121.691.3
1958124.188.7
1957123.290.1
1956120.988.8
1955122.889
1954121.689.5
1953121.289
1952122.889.6
195112391.1
195012287.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEthiopiaUganda
2015146.6129.4–163.9131.598.6–164.1
2016144.1127–160.612398.5–154.1
2017148.3129.2–164.9133.7108.6–162.7
2018149.6131.6–166134.2102.5–164
2019146.2129.3–166131.3104.8–166.2
2020149.4129.6–168.5140.7102.6–171.5
2021150.7132.1–170137.9112.9–175.4
2022154135.7–171.2140116.2–169.9
2023153.5135.4–171.4140.4114.2–184.8
2024156.5135.9–175.6151.1113.5–186.7
2025154132.6–175.5143108.5–176.4
2026153132–175144.6109.7–179.6
2027154.2134.4–175.3147.6116–175.4
2028157.5138.3–177.4151.6120.2–179.6
2029159.2141.8–176.8155.2127.3–178.6
2030156.8136.3–175.7150.4117.6–185.1
2031161.4142.4–179.1161.6132–187.2
2032161.7143.1–182.5159.1134.2–190.5
2033161.8140–180.9158.9123.4–200.6
2034158.8141.5–184.3161.5135.6–202.5
2035162141.7–184.2164.9126.3–193
2036160.5143.6–179.4158.5127.7–195.4
2037165145.8–184.5168.3138.2–207.3
2038167.1146.5–186.7173.8139.7–206.2
2039164.5143.9–186171.2130.1–205
2040165.9146.2–190.1170.4134.1–207.4
2041167.9146.3–189.3176.3144.6–208
2042167.7146–194.3175137.8–214.3
2043167.3145.5–190.8173.6132.8–207.6
2044168.2148.2–189.9176.1136.8–206.9
2045170.7149.1–192.3178.9138.3–217.7
2046175.3150–198.6191.9136.6–235
2047176.9151.8–197.5187.7156.6–225.3
2048177.5155.4–199.1189.3151.5–227.4
2049177.5157.9–198.4195.1154.9–233.6
2050176.4153.8–199191150.7–236.4
2051176.6155.3–199.7191.2154.4–228.2
2052177155.6–200.7192.6157.7–231.7
2053176.7154.2–201.6194.5149.7–233.5
2054177.6156.9–201.1199156.3–236.8
2055180.6155.2–202.3201.3151.7–240.7
2056177.3155–205.4198.9156.9–240.2
2057180.3159.3–205.5200165.5–244.7
2058182.6153.7–209.4208.8156.5–248.3
2059185.7160.1–210.6212.7171.1–254
2060185.9160.3–210.4212.6160.3–253.1
2061183.3158.3–211.7208.9162.4–258.1
2062183.8155.4–213206.4159.1–267.6
2063184.5159.1–208.6209.3168.5–246.3
2064186.7160.6–207.2210.6166.2–253.8
2065183.7162.4–212.9214.5167.8–261.1
2066187.1165.4–210.1211.9171.8–256.1
2067187.1160.7–214.5208.4168.3–269.8
2068187.6160.4–215.8216.4169.7–268.7
2069187.8165.4–215.8213170.3–268.1
2070187.9161.6–216.9216.4176.4–270.9
2071192.7165.2–219.5215.5174.6–273.5
2072193.6167.4–214.5227.3184.1–272.3
2073193.3169.7–218.7230.4189.3–278.5
2074188.5163.9–219220.7176.9–277
2075191.9162.7–218.6217.7167–274.2
2076195166.9–218.9228.1178.9–279
2077194.1169.3–223.3229.5189.6–280.5
2078192.1168.4–218.6225.6187.8–276.4
2079193.4166.6–220.9231.9168.8–277.7
2080196.1169.2–222.4232.8182.6–283.1
2081194.6171–221.4227.9187.6–279.3
2082195.4168.8–219.9233.1185.6–279.4
2083194.6168.2–228.7232.2175.7–297
2084198.5170.7–224.2237.2185.5–288.8
2085198.4173.1–226.3239.5192.4–291.7
2086198.6172.3–228.4236.2189.8–289.4
2087199170.6–226.6239.4188.9–294
2088199170.7–227.7236.8193.6–288.9
2089198.6171.2–226.2238.8193.8–293.7
2090198.6173.4–227.7237.7190.1–301.5
2091203.6171.9–232.1251188.7–300.1
2092200.7172.5–229.7243.4194.9–297.8
2093201.4175.2–228.6244.4199.2–296.8
2094200.2174–228.9245.6202.9–299.8
2095203.9175.7–231.9253.2202.4–306.1
2096199.1170.5–230.8241.4196.5–304
2097198.4171.8–229.3243.1194–296.6
2098198.7172.1–231.5242.9199–302.3
2099201.8172.8–233.3247.3194.4–306.1
2100201.7175.1–231.8245.3195.5–307.2

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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