Burundi vs Chad

Burundi vs Chad: Days above 35 °C

Days above 35 °C in 2014: 0 days in Burundi and 187.2 days in Chad, in the CMIP6 climate models’ median run. In 2014 the value was higher in Chad, by 187.2 days.

Watch it change on the map

days a year · CMIP6

Burundi vs Chad: Days above 35 °CDays above 35 °C in 2014: 0 days in Burundi and 187.2 days in Chad, in the CMIP6 climate models’ median run. In 2014 the value was higher in Chad, by 187.2 days.
BurundiChadCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Chad 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 Chad at 230.3 days in 2100.

Every year

days a year · CMIP6

YearBurundiChad
20140187.2
20130182.2
20120184.1
20110184
20100182.3
20090177.1
20080176.6
20070174.9
20060175.3
20050173.8
20040175.5
20030176.1
20020176.1
20010180.1
20000173.3
19990170.7
19980166.8
19970171.5
19960167.3
19950167.2
19940165.3
19930158.9
19920158.4
19910168.1
19900168.7
19890166.9
19880167.6
19870164.3
19860170.5
19850162
19840161.3
19830161.2
19820159.2
19810164.3
19800164.6
19790163
19780160.3
19770161.4
19760159.8
19750156.9
19740157.6
19730164.8
19720161.4
19710158.7
19700160.4
19690156.8
19680157.6
19670155
19660156.9
19650157.4
19640152.2
19630150.1
19620161.8
19610160.4
19600166.3
19590159.9
19580160.9
19570163.1
19560159.3
19550159.6
19540159.8
19530161.1
19520161.7
19510163.6
19500160.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBurundiChad
201500–0184.1153.9–205.2
201600–0179.9150.6–201.9
201700–0185.5156.4–210.2
201800–0180.7153.2–206
201900–0182.2153.5–208.9
202000–0183.2154.8–206.8
202100–0187.2156.5–209.5
202200–0187161.9–212.6
202300–0185160.4–208.6
202400–0192.4172.2–213.8
202500–0191166–212.1
202600–0186.6152.4–214.2
202700–0190.6157.6–213.3
202800–0191.7161–214.4
202900–0193.6167.4–215.7
203000–0194.7165.8–217.9
203100–0193163.2–220.9
203200–0192.4167.3–215
203300–0195.6171.3–219.5
203400–0194.6166.8–223.6
203500–0196.8163.3–221.4
203600–0193.9166.6–216.5
203700–0199.7172.7–223.3
203800–0201177.2–225.1
203900–0199171.5–222.5
204000–0199.4169.8–223.2
204100–0202.3173.3–227
204200–0201.3171.5–225.6
204300–0199.1171.1–222.4
204400–0199.3169.7–223.7
204500–0202.6173.4–228.4
204600–0209.1172.1–231.9
204700–0207175.1–230
204800–0.1207.1179.1–231.8
204900–0205173.7–229.2
205000–0.1205.3174.8–233.6
205100–0205179.7–232.7
205200–0211.7176.4–236.1
205300–0.1208.7176.2–233.5
205400–0.1213.8172.2–235.8
205500–0213.9185–235.6
205600–0.1210.7180.5–239
205700–0.1216.3186.1–240.6
205800–0.1212.4181–235.3
205900–0.1215.2186.5–243.1
206000–0.2214.9186.3–241.6
206100–0.2214.7181.7–243.2
206200–0.3215.8183–242.9
206300–0.2214.7186.4–237.8
206400–0.3216.1186.2–244
206500–0.2217.7194.5–241.9
206600–0.2219.7190–249.3
206700–0.2214.9189.9–245.2
206800–0.3218.4188.5–246.9
206900–0.3216.1184.3–245.3
207000–0.3221.4186.3–246.2
207100–0.2225.7190.5–249
207200–0.2222.8195.7–248.5
207300–0.3221.5191.4–249.1
207400–0.3219.2185.9–251.3
207500–0.3224.3187.8–249.4
207600–0.4222.7194.1–252.8
207700–0.3227.5195.3–253.9
207800–0.5225.1197.2–250.4
207900–0.3222.7192.5–248.8
208000–0.3224.8190.9–252.8
208100–0.4225.4195.3–255
208200–0.6223.1195.2–256.1
208300–0.5227.9197.3–253.7
208400–0.4224.1193.8–252.4
20850.10–0.4227.6199.6–253.1
208600–0.3226.6195.1–261.8
208700–0.5223.9190.2–252.3
208800–0.4220.7193.8–260.3
208900–0.3225.9191.8–254.4
209000–0.4230.1192.8–254.7
20910.10–1.1228.4195.4–254.3
209200–0.8231.3198.8–255.9
209300–0.6228.4200.3–254.7
20940.10–0.9231.3201.1–255.7
20950.10–0.9232.7197.9–258.5
20960.10–0.7228.1200.4–255.1
209700–0.6226.8198.5–255.6
209800–1227.7194.7–253.8
209900–0.6232.1203.4–258.1
21000.10–0.7230.3201.6–261.3

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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