Burundi vs Niger

Burundi vs Niger: Days above 35 °C

Days above 35 °C in 2014: 0 days in Burundi and 209.1 days in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Niger, by 209.1 days.

Watch it change on the map

days a year · CMIP6

Burundi vs Niger: Days above 35 °CDays above 35 °C in 2014: 0 days in Burundi and 209.1 days in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Niger, by 209.1 days.
BurundiNigerCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Niger 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 Niger at 242.2 days in 2100.

Every year

days a year · CMIP6

YearBurundiNiger
20140209.1
20130205.4
20120206
20110207.1
20100205.9
20090204.2
20080204.4
20070201.3
20060198.7
20050200.6
20040199.3
20030201.3
20020202.4
20010201.1
20000197.9
19990196.9
19980192.7
19970197.8
19960194.5
19950193.7
19940193.1
19930186.1
19920187.1
19910195.9
19900192.7
19890192.9
19880190.4
19870190.2
19860196.3
19850189.1
19840189.6
19830189.7
19820187.5
19810190.9
19800191.8
19790189.1
19780186.3
19770190.8
19760189.5
19750185
19740184.8
19730192.4
19720189.8
19710186.7
19700188.9
19690184.3
19680188.6
19670183.6
19660185.4
19650185.7
19640181.4
19630179.4
19620189
19610186.5
19600194.1
19590190.2
19580186.8
19570194
19560188.3
19550188.8
19540189
19530188.3
19520188.4
19510190.5
19500189.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBurundiNiger
201500–0205.1180.6–228.1
201600–0204.2180.2–222.1
201700–0210.9185.3–233.6
201800–0206183.2–227.4
201900–0206.7178.9–231.2
202000–0207.9183.1–226.7
202100–0209189.8–228
202200–0213190.1–231
202300–0207186.6–229.1
202400–0216.5197.3–234.6
202500–0214.6195.3–232
202600–0210.3178.5–235.6
202700–0216.5188.8–235.6
202800–0217188.5–233.4
202900–0218.1194.8–237.8
203000–0217.1191.5–237
203100–0215195.1–239.7
203200–0213.2192.1–232
203300–0217.2196.1–237
203400–0216.7191–240
203500–0219.7195.8–235.8
203600–0216.2196–236.1
203700–0222.3199.9–240.2
203800–0219.5198.9–243.8
203900–0218.3195.6–242.5
204000–0218.7200.4–240.1
204100–0222.2200.4–245
204200–0222201.7–244.6
204300–0220.5198.6–236.4
204400–0218.2198.9–241.6
204500–0222202–242
204600–0225.1198–243
204700–0229.1204.3–245.7
204800–0.1225.8200.7–247.3
204900–0222.4197.3–242.8
205000–0.1224.7203.3–246.8
205100–0224.6203.8–242.1
205200–0229.7204.6–252.7
205300–0.1225.2204.6–248.6
205400–0.1229199.7–252.3
205500–0230.7210.5–249.6
205600–0.1229.8199.3–254.5
205700–0.1231.1205.6–251.8
205800–0.1226.7203.5–249.9
205900–0.1233.3210.7–256
206000–0.2230.9206.7–251.3
206100–0.2232.3207.4–256.9
206200–0.3233211.8–254.7
206300–0.2228.8206.1–248.5
206400–0.3232.3207.9–252.9
206500–0.2233.4211.8–253.6
206600–0.2236.5212.7–261.5
206700–0.2229.1206.5–253.3
206800–0.3233.9210.6–259.9
206900–0.3233.2210.6–253.7
207000–0.3235.8209.1–254.8
207100–0.2237.9218.7–258.9
207200–0.2237.9218–259.8
207300–0.3235.1210–259.4
207400–0.3235.2212.8–261.3
207500–0.3239.3212.9–259.7
207600–0.4238.9215.3–262.6
207700–0.3242218.1–264
207800–0.5241.4216.1–262.3
207900–0.3235.6213.1–259.6
208000–0.3238.2215.8–263.6
208100–0.4240.1217.1–267.5
208200–0.6238215.5–261.3
208300–0.5242.5216.2–264
208400–0.4239.2214.3–261.4
20850.10–0.4241.7216.6–264.8
208600–0.3240.9220–270.6
208700–0.5236.9208.4–262.9
208800–0.4236.9216.5–271.3
208900–0.3242.4215.5–267.5
209000–0.4242.1213.6–262.2
20910.10–1.1241.3218.9–266.5
209200–0.8245217.6–266.3
209300–0.6242.2219.3–262.9
20940.10–0.9245.1220.3–263.4
20950.10–0.9244.1218.8–266.6
20960.10–0.7241.9225.1–264.5
209700–0.6241.4218–265.6
209800–1240.8215.3–263.5
209900–0.6247.1221.7–265.4
21000.10–0.7242.2221.3–266.4

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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