Mali vs Tanzania

Mali vs Tanzania: Tropical nights

Tropical nights in 2014: 250.2 nights in Mali and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 143.9 nights, or 2.35 times that in Tanzania.

Watch it change on the map

nights a year · CMIP6

Mali vs Tanzania: Tropical nightsTropical nights in 2014: 250.2 nights in Mali and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 143.9 nights, or 2.35 times that in Tanzania.
MaliTanzaniaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Mali has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Mali at 283.6 nights and Tanzania at 208 nights in 2100.

Every year

nights a year · CMIP6

YearMaliTanzania
2014250.2106.3
2013247.3105.5
2012253.1108.4
2011251.9109
2010250.4103.9
2009248101.1
2008247.8100.3
2007248.199.5
2006245.5100.4
2005244.398.7
2004243.9100.4
2003247.199.6
2002245.898.4
2001245.6101.5
2000243.294.9
1999242.494.2
1998240.696.8
1997240.793.5
1996236.489.6
199523888.5
1994236.285.4
1993235.181.2
199223280.1
1991238.789.6
199024191.1
1989236.389.1
1988234.787.6
1987236.188.5
1986237.189.4
1985235.383
198423383.1
1983231.282.1
1982234.984.8
1981233.988
1980231.585
1979233.885.5
1978234.882.9
1977233.684.1
1976231.781
1975232.480.8
1974229.782.2
1973230.383.6
1972230.781.4
1971229.580.7
1970229.981.8
1969227.379.5
1968230.579.1
196722977.5
1966228.178.1
1965230.278
1964228.973.8
1963228.273.1
1962231.781.1
1961231.682.6
1960235.183.9
1959231.881.4
1958231.882.1
1957233.380.9
1956230.780
1955230.681.6
195423281.4
1953228.380.6
1952229.281.4
1951231.482.1
1950228.680.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMaliTanzania
2015247.9231.5–264.7114.895.2–137.4
2016248231.3–262.6108.391.6–125.6
2017252.7233.6–268.2114.893.6–137.8
2018254.2236.4–269116.497.4–137.1
2019251.6233.5–272.3113.495.2–133.2
2020251.3231.2–270.7119.396.2–143.5
2021254.8238.5–270119.5100.9–147.1
2022257237.8–275.3124.4105.3–147.4
2023254.2239.6–269.2122.1102.1–147.8
2024259.3242.3–276.8126.2100–150.1
2025256.2239.2–272.3124.6100.9–154
2026256.8237.2–277.8126.999.1–155.6
2027258.5240.3–273.1128102.9–147.7
2028259.7243.6–273.9129.9106.4–152.1
2029260.8240.3–275.3134.1111–156.5
2030258.1237.5–272.6129.4106.4–151.1
2031262.2243.4–280.6136.4115.9–158.4
2032260.5242.1–278.2135.1114–166.8
2033262.1241.7–280.3135.2110.9–161.9
2034260.7242–275.3134.7112.5–166.3
2035261.5244.8–283.6140.2114.6–165
2036262.5244.6–281.1137.8113.3–165.5
2037264.5245.2–279.6142.9121.5–168.9
2038266246.7–283.2147.9124.3–169.3
2039262.3245–281.6144.3117.6–171.3
2040263.6247.5–279.6140.5117–178
2041264.6250.8–283.1149.1121.7–175.6
2042265.7245.9–283.5146.3120.5–185.3
2043264.8246.9–278.8144.6117–173
2044269.3247.4–284.7147.7121.2–175.8
2045265.6248.9–283.7150.1125.2–183.4
2046269.8247.5–286.4161.5128.6–192.2
2047271.9251.2–290.3160.2129.7–194.4
2048270.4254.4–288.2158.8132.7–193.1
2049272252.1–288.2157.6131.1–196
2050269.5250.6–286.4159.7127.8–192
2051268.8251.7–286.9163.2135.5–197.8
2052270.1252.7–292.1161.9136.2–199.1
2053269.3249.2–288.8160.6127.5–197.7
2054270.3251.7–290.6163.2131.5–200.2
2055270.9252.7–288.1167.4137–208.3
2056273248.6–291.4166.4130.8–209.7
2057275.5255.2–295168134.6–208.3
2058271252.7–293.2168.7134.9–210.3
2059274.5259.3–299.6174.7144.9–219.5
2060273.5258–293.7181.7138.1–219.8
2061275.4257–298171.8135.5–218.1
2062270.8251.7–291.8177.5139.9–224
2063275.9256.6–292.2181.4140.1–213.8
2064276.4256.6–298.4185.3140.1–215.2
2065275.3256–295.1183.5141.1–221.8
2066276.9260–296.5181.9146.3–219.3
2067272.6255.4–293.3178.8138.8–229.2
2068277.5258.1–296.5186144.2–228.4
2069276.1257.7–293.3183.7141.7–225.3
2070277.2256.6–296.6180.7140.4–228.2
2071277.2258.4–295.6184.9146.9–235.2
2072281.9263.8–298.9191.3155–226.1
2073276.8257.9–296.8191.6152.4–235.6
2074277.7258.7–295.9183.3149.7–231.7
2075278.5260.1–298.5183.8144.8–233
2076278.1261.1–294.2191.1150.9–233.2
2077283.8263.1–302.3191.3152.6–238.2
2078283.8263.5–299.4189156.6–233.8
2079278.9259.2–300.6190.5147–237.3
2080281.2262.1–299.4197.3150.7–241.2
2081279.1259.3–301.8195.6153.4–237.4
2082280.2260.2–298.4194.5157.3–237.3
2083280.8260.8–302.3193.2151–249.8
2084280.4263.8–301201.1152.2–246.7
2085284.6259.2–303204.2162.3–252.3
2086281.9262.8–302.4195156–248.7
2087279.7258.8–302.8196.7160.8–244.5
2088282.3260.7–303.3208.4154.7–246.9
2089283.4262.4–300.5201.3158.6–248.2
2090283.9259.8–301.9197.9160.7–253.6
2091283.1260.4–304.8210161.6–256
2092281.6259.7–303.1205.8158.3–253.6
2093284.8265.8–305.4207.2161.2–251.9
2094284.6262.8–305.6207.9161.3–250.6
2095283.6262–304.6214.2166.4–258.5
2096284.9263.3–306.3205.3159.8–257.4
2097280261–300.5206.6158.4–256.8
2098282.5262–302.1209.1161–258.3
2099285.3266.2–305.4208.5160.1–256
2100283.6262.8–304.1208158.6–258.6

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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