Burundi vs Côte d’Ivoire

Burundi vs Côte d’Ivoire: Days above 35 °C

Days above 35 °C in 2014: 0 days in Burundi and 36.4 days in Côte d’Ivoire, in the CMIP6 climate models’ median run. In 2014 the value was higher in Côte d’Ivoire, by 36.4 days.

Watch it change on the map

days a year · CMIP6

Burundi vs Côte d’Ivoire: Days above 35 °CDays above 35 °C in 2014: 0 days in Burundi and 36.4 days in Côte d’Ivoire, in the CMIP6 climate models’ median run. In 2014 the value was higher in Côte d’Ivoire, by 36.4 days.
BurundiCôte d’IvoireCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Côte d’Ivoire 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 Côte d’Ivoire at 110.6 days in 2100.

Every year

days a year · CMIP6

YearBurundiCôte d’Ivoire
2014036.4
2013037.7
2012035
2011035.7
2010033.9
2009032.7
2008029.4
2007031
2006029.7
2005032.3
2004033.6
2003030.8
2002031.2
2001032.8
2000030.7
1999029.5
1998029.1
1997028.5
1996022
1995023.7
1994023.7
1993019.8
1992018.4
1991027.1
1990028.5
1989024.1
1988026.3
1987025.3
1986025.7
1985024.4
1984024.5
1983024.3
1982025.5
1981025.4
1980023.3
1979024.1
1978023.9
1977023.5
1976022.4
1975021.1
1974022.5
1973022.7
1972021.3
1971021.8
1970021.6
1969023.9
1968020.1
1967018.6
1966022.3
1965019.2
1964014.2
1963022.2
1962023.5
1961022.7
1960025.2
1959023.5
1958024.4
1957021.8
1956021.9
1955025
1954022.3
1953020.9
1952021
1951024.3
1950021.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBurundiCôte d’Ivoire
201500–039.425–57.3
201600–035.216.8–50.3
201700–03620.5–51.5
201800–037.619–57.1
201900–037.320.4–58.7
202000–038.122.5–63
202100–039.826.1–54.4
202200–04525.4–64.1
202300–040.323.9–55.9
202400–043.329.5–64.3
202500–044.224.5–59.9
202600–044.322.5–67
202700–044.518.2–68.2
202800–045.423.3–70.2
202900–048.427.4–73.1
203000–047.826.8–74.8
203100–049.926.4–70.3
203200–050.425–75.3
203300–053.229.1–74.9
203400–051.430.2–72.8
203500–05128.1–75.7
203600–050.925.8–79.3
203700–060.830–84.2
203800–060.135.1–86.1
203900–056.536.2–81.3
204000–054.231.5–91.5
204100–06539.9–87.6
204200–06137–84.8
204300–056.936.2–84.4
204400–062.538.5–92.4
204500–06638.2–93.7
204600–067.336.4–92.2
204700–071.837.3–96.2
204800–0.167.544.2–94.9
204900–067.342.7–100.2
205000–0.162.941–102.8
205100–067.939.3–102.7
205200–075.641.4–107
205300–0.169.643.7–109.3
205400–0.172.942.2–107.6
205500–077.446.2–112.6
205600–0.175.246.8–112.7
205700–0.180.146.7–110.5
205800–0.176.444.6–105.3
205900–0.177.848.5–119.8
206000–0.281.649.8–115.6
206100–0.282.447.9–117.4
206200–0.373.847.7–115.8
206300–0.283.655.4–125.6
206400–0.380.148.8–114.1
206500–0.286.652.1–119
206600–0.279.854.4–119.2
206700–0.28152.6–119.3
206800–0.387.151.2–124.3
206900–0.39049.1–129.5
207000–0.382.945.1–131.3
207100–0.281.952.8–131.5
207200–0.289.453–124.2
207300–0.394.850–142.1
207400–0.383.553.4–142.6
207500–0.389.751.6–131.7
207600–0.496.257.8–132
207700–0.398.950.4–141.2
207800–0.59157.1–137.8
207900–0.394.156.6–139.9
208000–0.3103.354.6–141.4
208100–0.496.658.5–139.2
208200–0.698.855.7–136.5
208300–0.599.660.7–141.8
208400–0.498.557.3–141.8
20850.10–0.4108.660.6–148.6
208600–0.3102.359.9–144.7
208700–0.599.854.5–143.3
208800–0.4101.756.4–138
208900–0.389.560.4–138.3
209000–0.498.358.5–146.7
20910.10–1.1103.466.1–145.8
209200–0.8109.559.6–150.7
209300–0.6102.561.4–163.2
20940.10–0.9102.361.8–153.6
20950.10–0.9115.160.6–159.8
20960.10–0.7104.661.5–158.1
209700–0.696.659.8–152.6
209800–110959.4–154
209900–0.6107.653.7–164.1
21000.10–0.7110.666.8–162

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

Burundi vs Côte d’Ivoire

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