Mali vs Zimbabwe

Mali vs Zimbabwe: Tropical nights

Tropical nights in 2014: 250.2 nights in Mali and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 173.8 nights, or 3.28 times that in Zimbabwe.

nights a year · CMIP6

Mali vs Zimbabwe: Tropical nightsTropical nights in 2014: 250.2 nights in Mali and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 173.8 nights, or 3.28 times that in Zimbabwe.
MaliZimbabweCMIP6 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 Zimbabwe at 148.3 nights in 2100.

Every year

nights a year · CMIP6

YearMaliZimbabwe
2014250.276.4
2013247.378.4
2012253.175.9
2011251.973.3
2010250.471.5
200924869.6
2008247.869.8
2007248.169.3
2006245.570.3
2005244.369.5
2004243.971.8
2003247.172.9
2002245.871.3
2001245.671.3
2000243.267.4
1999242.462.3
1998240.666.3
1997240.762
1996236.457.7
199523858.9
1994236.256.8
1993235.150.1
199223252.1
1991238.758.7
199024161.5
1989236.360.4
1988234.761.6
1987236.157.3
1986237.158.6
1985235.354.1
198423354.6
1983231.253.3
1982234.953.7
1981233.957
1980231.557.3
1979233.856.2
1978234.853.1
1977233.655.2
1976231.751.2
1975232.453.6
1974229.754.2
1973230.353.9
1972230.753.2
1971229.551.1
1970229.953.1
1969227.353.3
1968230.548.7
196722948.7
1966228.148.8
1965230.248.6
1964228.944.6
1963228.247.4
1962231.755.8
1961231.651.6
1960235.155.6
1959231.853.6
1958231.855.3
1957233.353.2
1956230.748.6
1955230.654.4
195423253
1953228.351.8
1952229.252.7
1951231.452.3
1950228.651.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMaliZimbabwe
2015247.9231.5–264.779.463.5–98.5
2016248231.3–262.678.657.9–101.7
2017252.7233.6–268.281.263.3–98.5
2018254.2236.4–26982.160.5–104.1
2019251.6233.5–272.382.863.9–102.3
2020251.3231.2–270.784.362.9–106.9
2021254.8238.5–27082.564.7–102.7
2022257237.8–275.389.870.1–108.8
2023254.2239.6–269.290.672.5–110.7
2024259.3242.3–276.893.769.8–113.4
2025256.2239.2–272.38865.1–114.6
2026256.8237.2–277.889.767.8–113.9
2027258.5240.3–273.195.668.4–119.6
2028259.7243.6–273.993.371.4–115.7
2029260.8240.3–275.3100.277.2–120
2030258.1237.5–272.69671.6–115.3
2031262.2243.4–280.69874.9–119.8
2032260.5242.1–278.298.574.7–118.5
2033262.1241.7–280.398.974–120.6
2034260.7242–275.3100.277.3–128.1
2035261.5244.8–283.6103.975.7–130.6
2036262.5244.6–281.1100.878–123
2037264.5245.2–279.610882.1–131.1
2038266246.7–283.2110.986.5–135
2039262.3245–281.6102.480.4–122.3
2040263.6247.5–279.6101.379.5–133.5
2041264.6250.8–283.1108.483.7–134.2
2042265.7245.9–283.5108.883.1–139.9
2043264.8246.9–278.8107.985.7–137.3
2044269.3247.4–284.7111.287–134.8
2045265.6248.9–283.7106.186.2–130.7
2046269.8247.5–286.4112.386.4–139.1
2047271.9251.2–290.3119.692.1–145.9
2048270.4254.4–288.2116.888.4–143.9
2049272252.1–288.2119.290.4–146.2
2050269.5250.6–286.4122.794.1–148.6
2051268.8251.7–286.9122.4100.9–147.7
2052270.1252.7–292.1124.2101.3–152.8
2053269.3249.2–288.8121.689–146.9
2054270.3251.7–290.6123.993.9–150.8
2055270.9252.7–288.1126.597.9–153.7
2056273248.6–291.4126.198–154.7
2057275.5255.2–295122.797.6–150.7
2058271252.7–293.2125.3103–154.1
2059274.5259.3–299.6132.2107.4–157.4
2060273.5258–293.7132.599.9–159
2061275.4257–298126.694.2–161.1
2062270.8251.7–291.8126.399.6–157.3
2063275.9256.6–292.2127.7101–159.7
2064276.4256.6–298.4130.498–151.3
2065275.3256–295.1132.4107.6–165.6
2066276.9260–296.5134.5106.8–159.8
2067272.6255.4–293.3125.598.9–160.5
2068277.5258.1–296.5134102.3–166.1
2069276.1257.7–293.3136.9106.4–164.2
2070277.2256.6–296.6133.199.8–166.3
2071277.2258.4–295.6135.2108.4–173.7
2072281.9263.8–298.9140.4110.6–166.8
2073276.8257.9–296.8140.9109.7–173.6
2074277.7258.7–295.9135.5112–170.6
2075278.5260.1–298.5136108.5–166.6
2076278.1261.1–294.2133.7105.9–163.7
2077283.8263.1–302.3140.2114.3–170.6
2078283.8263.5–299.4137.5111.3–172.3
2079278.9259.2–300.6136.9110.2–172.6
2080281.2262.1–299.4145115.8–173.2
2081279.1259.3–301.8147.2106.5–174.1
2082280.2260.2–298.4141.4111.4–169.9
2083280.8260.8–302.3143.6106.5–179.2
2084280.4263.8–301149.4117.3–176.9
2085284.6259.2–303154.3114.9–182.7
2086281.9262.8–302.4141.7115.3–176.1
2087279.7258.8–302.8142.7116.8–177.3
2088282.3260.7–303.3150.2118.3–178.9
2089283.4262.4–300.5148.9121.3–176.4
2090283.9259.8–301.9145.7113.7–179.4
2091283.1260.4–304.8149.7116.5–181.8
2092281.6259.7–303.1149.4119.7–181.7
2093284.8265.8–305.4152.5117.1–184.1
2094284.6262.8–305.6150.9117.3–182.2
2095283.6262–304.6155118.3–181.5
2096284.9263.3–306.3152.4113.1–189.2
2097280261–300.5144.1113.8–183.3
2098282.5262–302.1152.4119.2–187
2099285.3266.2–305.4152.9117.3–185
2100283.6262.8–304.1148.3120.1–184.6

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

Mali vs Zimbabwe

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment