Burundi vs Mali

Burundi vs Mali: Days above 35 °C

Days above 35 °C in 2014: 0 days in Burundi and 205.3 days in Mali, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 205.3 days.

Watch it change on the map

days a year · CMIP6

Burundi vs Mali: Days above 35 °CDays above 35 °C in 2014: 0 days in Burundi and 205.3 days in Mali, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 205.3 days.
BurundiMaliCMIP6 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 Burundi at 0.1 days and Mali at 250.4 days in 2100.

Every year

days a year · CMIP6

YearBurundiMali
20140205.3
20130204.6
20120205.2
20110205
20100201.7
20090201.1
20080200.4
20070201.3
20060198.2
20050198.1
20040201.5
20030198.8
20020200.1
20010198.2
20000195.8
19990194.7
19980193.3
19970194.1
19960188.1
19950189.6
19940187
19930183.1
19920181.5
19910191.7
19900192.8
19890189.4
19880187.1
19870188.2
19860190.4
19850185.4
19840186.1
19830186.8
19820187.2
19810187
19800189
19790188.8
19780184.1
19770184.6
19760184.9
19750183
19740180
19730185.9
19720182.7
19710181.8
19700184.4
19690184.7
19680182.4
19670179.2
19660182.3
19650180.5
19640177.2
19630177.9
19620185.3
19610186.4
19600189.3
19590187.2
19580185.9
19570191.6
19560182.5
19550185.5
19540187.6
19530186.3
19520184.5
19510186
19500183
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBurundiMali
201500–0205.1181.6–226.2
201600–0202177.4–219.9
201700–0208.7184.8–230
201800–0203.5179–226.6
201900–0207.3177.3–229.3
202000–0205.3176.9–227.9
202100–0207.3189.4–228.8
202200–0212.7186.6–234.9
202300–0208.3186.1–232.4
202400–0216.7191.8–240.5
202500–0212.9190.9–233.9
202600–0214175.7–236
202700–0214.4187.3–235.9
202800–0217.9191.7–234.6
202900–0214193–233.5
203000–0215.1189.6–236.7
203100–0217.8194.8–239.2
203200–0215.6188.8–241.2
203300–0217.3191.2–240.5
203400–0215.5193.5–241
203500–0220.3192.4–241.1
203600–0217.1193.6–243.4
203700–0224.3198.3–242.7
203800–0222.3194.3–251
203900–0219.2196.6–247.4
204000–0223.3201–245.1
204100–0225.1204.4–245.5
204200–0226199.1–248.7
204300–0223.1202.4–244.4
204400–0226.3197.8–250.4
204500–0226.9202.5–248.2
204600–0228.6199.3–250.6
204700–0232.2203.4–255.4
204800–0.1232.1208.4–251.3
204900–0228.3206.3–249.9
205000–0.1227.9204.5–253.3
205100–0225.8205–252.8
205200–0233.4204.7–262.2
205300–0.1228.5204.3–257.4
205400–0.1231.7207.6–260.8
205500–0235.2209.3–258.2
205600–0.1236.4209–259.9
205700–0.1238.9212.9–266.1
205800–0.1232.2209.6–263.7
205900–0.1238.6213–263.1
206000–0.2235.3213.6–260.9
206100–0.2239.6210.7–268.2
206200–0.3236.3210.8–264.6
206300–0.2238.3214.5–260.1
206400–0.3239215.2–265.3
206500–0.2239.8216.5–260
206600–0.2240.4219.8–269.8
206700–0.2234.5212.7–260.9
206800–0.3239.3213.8–265.9
206900–0.3241213–262.1
207000–0.3241.2213.9–266.1
207100–0.2239.6216.8–268.4
207200–0.2244.7222.5–271.9
207300–0.3243.1216.4–269.2
207400–0.3243.3216.9–272.6
207500–0.3244.5217.8–270
207600–0.4245219.7–267.6
207700–0.3249.7217.4–277.9
207800–0.5247.1219.3–274.3
207900–0.3245218.1–272.2
208000–0.3247.1219.9–274.3
208100–0.4244.6216.8–276.5
208200–0.6244.9220.3–276
208300–0.5249.3222.7–275.6
208400–0.4244.5220.6–274.1
20850.10–0.4252.2220.4–277.5
208600–0.3247221.5–277.6
208700–0.5243212.5–274.4
208800–0.4245.7222.2–279.5
208900–0.3245.4217.4–278.8
209000–0.4249.8217.9–273.1
20910.10–1.1249.3224.1–276.6
209200–0.8250.8219.8–275.2
209300–0.6249.4221.9–280.7
20940.10–0.9252.8226.8–277.6
20950.10–0.9251.7220.9–277.7
20960.10–0.7251.6226.6–279.2
209700–0.6246.5221.7–275
209800–1252.7226–275.1
209900–0.6253.6226.7–282.1
21000.10–0.7250.4223.5–278.7

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

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