Mali vs Zimbabwe

Mali vs Zimbabwe: Days above 35 °C

Days above 35 °C in 2014: 205.3 days in Mali and 15.9 days in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 189.4 days, or 13 times that in Zimbabwe.

Watch it change on the map

days a year · CMIP6

Mali vs Zimbabwe: Days above 35 °CDays above 35 °C in 2014: 205.3 days in Mali and 15.9 days in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 189.4 days, or 13 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 250.4 days and Zimbabwe at 58.2 days in 2100.

Every year

days a year · CMIP6

YearMaliZimbabwe
2014205.315.9
2013204.617.1
2012205.215.7
201120512.5
2010201.715.3
2009201.113
2008200.413.5
2007201.314.3
2006198.212.9
2005198.114.6
2004201.516.2
2003198.815.4
2002200.114.9
2001198.214.6
2000195.815.1
1999194.712.5
1998193.313.2
1997194.112
1996188.19.7
1995189.610.5
19941879.8
1993183.17.4
1992181.57.9
1991191.78.9
1990192.810.9
1989189.412.1
1988187.111.6
1987188.210.5
1986190.410.4
1985185.48.9
1984186.18.9
1983186.89
1982187.29.2
19811879.7
198018910
1979188.89.3
1978184.18
1977184.69.4
1976184.97.4
197518310
197418011
1973185.910
1972182.78.2
1971181.88.4
1970184.49.1
1969184.79.3
1968182.48.6
1967179.27.4
1966182.37.5
1965180.58.4
1964177.26.2
1963177.96.3
1962185.39.1
1961186.48.8
1960189.39
1959187.29.6
1958185.910.2
1957191.69.9
1956182.57.9
1955185.511.2
1954187.68.8
1953186.38.6
1952184.59.4
19511868.3
19501839
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMaliZimbabwe
2015205.1181.6–226.217.19.2–27.4
2016202177.4–219.917.37.9–31.7
2017208.7184.8–230189–29.3
2018203.5179–226.618.78.6–33.5
2019207.3177.3–229.318.48.7–28.5
2020205.3176.9–227.92211.6–34.5
2021207.3189.4–228.817.48.9–31.5
2022212.7186.6–234.922.111.3–34.2
2023208.3186.1–232.423.914.6–37.2
2024216.7191.8–240.522.712.2–35.4
2025212.9190.9–233.919.47.7–35.5
2026214175.7–23623.213.8–35.1
2027214.4187.3–235.924.313.2–47.8
2028217.9191.7–234.623.213.4–42.3
2029214193–233.526.913.5–41.7
2030215.1189.6–236.724.713.5–44.4
2031217.8194.8–239.221.710.1–43.4
2032215.6188.8–241.223.913.4–37.9
2033217.3191.2–240.528.314.5–44.9
2034215.5193.5–24130.915.4–52.5
2035220.3192.4–241.12714.6–44
2036217.1193.6–243.425.613–44.1
2037224.3198.3–242.729.415.2–46.3
2038222.3194.3–2513316.3–54
2039219.2196.6–247.426.413.6–43.8
2040223.3201–245.12414.1–43.5
2041225.1204.4–245.529.216.6–45.4
2042226199.1–248.730.917.6–52.3
2043223.1202.4–244.432.416–51.2
2044226.3197.8–250.430.117.1–50.7
2045226.9202.5–248.229.414.1–46.6
2046228.6199.3–250.63318.1–50.4
2047232.2203.4–255.432.717.6–52.7
2048232.1208.4–251.335.519.2–56.3
2049228.3206.3–249.934.619.8–57.8
2050227.9204.5–253.338.920–58.3
2051225.8205–252.837.319.7–65.6
2052233.4204.7–262.242.321.3–67.1
2053228.5204.3–257.435.519.9–56.4
2054231.7207.6–260.843.823–73.8
2055235.2209.3–258.240.622.1–66.4
2056236.4209–259.937.819.9–64.7
2057238.9212.9–266.136.319.8–63.3
2058232.2209.6–263.738.519.1–60.6
2059238.6213–263.146.824.8–70.1
2060235.3213.6–260.942.620.1–66.8
2061239.6210.7–268.242.920.8–66.2
2062236.3210.8–264.639.224.1–65.6
2063238.3214.5–260.140.424.4–62.1
2064239215.2–265.34122.2–59.1
2065239.8216.5–2604523.3–75.1
2066240.4219.8–269.842.423.1–67.5
2067234.5212.7–260.938.622.2–72.6
2068239.3213.8–265.942.622.4–65
2069241213–262.145.524.4–72.1
2070241.2213.9–266.14223.8–65.3
2071239.6216.8–268.443.622.9–68.4
2072244.7222.5–271.947.623.8–70.9
2073243.1216.4–269.252.827.6–86.9
2074243.3216.9–272.649.329–82.9
2075244.5217.8–27041.824.5–70.4
2076245219.7–267.644.125.3–76.6
2077249.7217.4–277.947.728.3–86.8
2078247.1219.3–274.347.125–73.2
2079245218.1–272.248.326.6–83
2080247.1219.9–274.354.828.1–82.5
2081244.6216.8–276.549.525.8–88.8
2082244.9220.3–27646.129–81.5
2083249.3222.7–275.646.623.8–90.9
2084244.5220.6–274.152.128.9–75.3
2085252.2220.4–277.557.231.7–91.8
2086247221.5–277.649.230–75.3
2087243212.5–274.452.130.2–87.7
2088245.7222.2–279.558.629.2–86.4
2089245.4217.4–278.855.432–84.2
2090249.8217.9–273.154.730.4–83.6
2091249.3224.1–276.65226.4–87.2
2092250.8219.8–275.256.332.9–86.5
2093249.4221.9–280.753.624.6–86.7
2094252.8226.8–277.661.331.2–91.4
2095251.7220.9–277.756.329.4–87.6
2096251.6226.6–279.252.230.1–86.6
2097246.5221.7–27548.627–81.7
2098252.7226–275.155.831.3–98.2
2099253.6226.7–282.154.931.1–96.5
2100250.4223.5–278.758.229.4–85.2

Each country on its own

Good to know

  • Days in a year whose highest temperature passes 35 °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