Burundi vs Ethiopia

Burundi vs Ethiopia: Days above 35 °C

Days above 35 °C in 2014: 0 days in Burundi and 42.9 days in Ethiopia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ethiopia, by 42.9 days.

Watch it change on the map

days a year · CMIP6

Burundi vs Ethiopia: Days above 35 °CDays above 35 °C in 2014: 0 days in Burundi and 42.9 days in Ethiopia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ethiopia, by 42.9 days.
BurundiEthiopiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Ethiopia 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 Ethiopia at 80.7 days in 2100.

Every year

days a year · CMIP6

YearBurundiEthiopia
2014042.9
2013042.4
2012041.6
2011041.7
2010041
2009039.4
2008038.4
2007037.3
2006038.4
2005038.5
2004037.6
2003038.3
2002039
2001038.7
2000037.3
1999036.7
1998036.8
1997035.7
1996034.4
1995034.2
1994032.7
1993030.2
1992029.7
1991034.7
1990034.2
1989033.7
1988034.3
1987034.7
1986034.2
1985032
1984032.1
1983031.1
1982033.2
1981034
1980033.9
1979033
1978032.2
1977032.6
1976031.1
1975030.4
1974031.9
1973032.6
1972031.4
1971030.4
1970030.3
1969031
1968029.8
1967029.5
1966030.3
1965029.6
1964027.2
1963028.6
1962031.8
1961032.6
1960031.1
1959031.3
1958030.9
1957032
1956031.3
1955030.5
1954031.1
1953031.7
1952031.5
1951031.4
1950031.4
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBurundiEthiopia
201500–043.232.9–53.6
201600–041.931.5–52.8
201700–043.730.8–54.5
201800–043.231.7–56.4
201900–043.132.6–54.9
202000–045.232.1–57
202100–04432.6–55.5
202200–045.633–57.2
202300–046.934.4–59.5
202400–048.136–61.5
202500–046.334.6–58.6
202600–045.732.3–63.1
202700–046.132.5–61.1
202800–047.633.9–62
202900–049.435.8–62.7
203000–048.535.7–62.6
203100–051.139.4–65.9
203200–050.137.7–64.1
203300–053.438.5–66.4
203400–051.538.9–67.1
203500–051.737.3–67.5
203600–050.537.8–64.5
203700–052.738.1–68.3
203800–053.640.2–68.6
203900–054.840.3–68.9
204000–053.740.8–71.1
204100–055.640.9–72.9
204200–055.742–71.7
204300–054.839.1–72.7
204400–057.440.3–72.9
204500–05841.7–76.4
204600–060.840.5–78.9
204700–061.544–78.8
204800–0.160.143.7–78
204900–062.445.4–81
205000–0.16044.7–80.4
205100–062.245.7–85.1
205200–062.244.5–79.6
205300–0.161.143.4–81.4
205400–0.159.343.9–79.1
205500–064.645.2–84.1
205600–0.162.243.7–85.5
205700–0.164.347.1–87.3
205800–0.165.743.7–87.1
205900–0.166.145.7–88
206000–0.267.546.8–88.1
206100–0.267.548.2–88.8
206200–0.367.146.1–91.6
206300–0.267.648.5–88.1
206400–0.368.946.1–87.5
206500–0.266.149.5–91.3
206600–0.268.249.7–87.1
206700–0.269.348.8–91.1
206800–0.367.548.2–92.4
206900–0.369.450.1–90
207000–0.367.948.5–95.4
207100–0.273.149.8–96.2
207200–0.272.849.4–92.6
207300–0.371.653.2–95.3
207400–0.368.448.8–96.8
207500–0.372.849.6–96.6
207600–0.47552.9–98.3
207700–0.377.651.6–104.2
207800–0.572.252.6–97.6
207900–0.374.452.7–95.3
208000–0.37750.9–100.6
208100–0.478.953.6–104.3
208200–0.677.354.5–99.1
208300–0.578.455.3–102.5
208400–0.47854.4–101.3
20850.10–0.478.855–103.6
208600–0.381.653.6–106.3
208700–0.578.353–102.2
208800–0.47854–103.9
208900–0.378.455.9–100.2
209000–0.482.555.7–105.3
20910.10–1.182.554.6–108.2
209200–0.880.652.6–104
209300–0.680.758.9–107
20940.10–0.981.357.6–105.4
20950.10–0.98257–107.8
20960.10–0.780.654–107.6
209700–0.679.556.7–107.5
209800–178.853.4–108.7
209900–0.68155.7–110.5
21000.10–0.780.755.5–106.4

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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