Burundi vs Guinea

Burundi vs Guinea: Days above 35 °C

Days above 35 °C in 2014: 0 days in Burundi and 66.5 days in Guinea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Guinea, by 66.5 days.

days a year · CMIP6

Burundi vs Guinea: Days above 35 °CDays above 35 °C in 2014: 0 days in Burundi and 66.5 days in Guinea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Guinea, by 66.5 days.
BurundiGuineaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Guinea 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 Guinea at 142.5 days in 2100.

Every year

days a year · CMIP6

YearBurundiGuinea
2014066.5
2013066.9
2012066.3
2011064.8
2010062.6
2009062.8
2008058.8
2007062
2006059
2005060.1
2004063.3
2003058.9
2002059.9
2001063.3
2000058.8
1999057.3
1998056.5
1997056.7
1996049.9
1995052.3
1994049.7
1993044.8
1992043.1
1991055.2
1990055.1
1989051.7
1988050.7
1987052.6
1986052.9
1985049.1
1984050.3
1983048.7
1982050.6
1981052.3
1980049.5
1979049.2
1978049
1977049.9
1976047.6
1975047.2
1974048
1973048.8
1972045.8
1971045.9
1970048.8
1969048.4
1968045
1967042.5
1966047.7
1965044.4
1964037.2
1963043.2
1962048.1
1961047.7
1960049.5
1959047.9
1958049.7
1957048.1
1956045.1
1955048.8
1954047.7
1953049
1952046.9
1951051.3
1950047.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBurundiGuinea
201500–067.752.4–86.7
201600–065.148.7–80.1
201700–067.350.5–85.2
201800–068.448.1–83.5
201900–066.649.4–87.9
202000–06847.9–87.8
202100–070.153.8–85.6
202200–075.253.7–93.6
202300–071.453.2–92.3
202400–076.259.9–99.5
202500–075.455.3–98
202600–077.547.7–101.5
202700–07845.8–99.1
202800–078.756.5–100.7
202900–079.758–105.5
203000–077.857.3–100.9
203100–080.660.2–99.3
203200–079.759–111
203300–082.758.3–105.3
203400–080.558.3–107.6
203500–081.157.3–116.7
203600–081.154.2–111.7
203700–089.861.7–113.8
203800–091.667–120.3
203900–087.465.4–111.1
204000–085.859.8–121.2
204100–093.267.5–118
204200–09366.1–119.6
204300–086.966.1–118
204400–093.963.8–124.5
204500–09566.5–121.2
204600–099.465.4–120.5
204700–0100.569.2–127.7
204800–0.198.175.5–128.4
204900–099.273.9–125.6
205000–0.193.369.9–131.3
205100–096.567.7–139.4
205200–010471.2–144.6
205300–0.198.270.4–142.9
205400–0.1105.569.9–140.7
205500–0105.576.4–142.5
205600–0.1105.275.2–148.8
205700–0.111274.7–144.9
205800–0.1106.279.8–146.4
205900–0.111177.4–151.7
206000–0.2111.579.8–148
206100–0.211374.1–150.7
206200–0.3107.276.9–147.1
206300–0.2110.779.2–146.4
206400–0.311382.4–149.5
206500–0.2117.981.1–150.7
206600–0.2109.684.2–162.4
206700–0.2110.181.7–154
206800–0.3115.782.1–157.9
206900–0.3119.577.2–163.5
207000–0.3111.477.1–161.1
207100–0.211484.2–163.2
207200–0.2123.287.6–161.4
207300–0.3124.879.9–169.7
207400–0.311681.2–174.4
207500–0.3118.383.1–155.8
207600–0.4123.888.6–164.3
207700–0.3130.275.1–177.5
207800–0.5123.488.3–162.4
207900–0.3125.587–168.7
208000–0.3131.484.8–179.1
208100–0.4123.283.1–170.6
208200–0.6127.787.6–167.6
208300–0.5127.292.2–175.6
208400–0.4127.991.6–164.8
20850.10–0.4134.592–171.9
208600–0.313588.4–173.3
208700–0.5125.985.9–174
208800–0.412584.6–177.3
208900–0.3118.488.2–173.4
209000–0.4123.286.9–169
20910.10–1.1130.590.8–169.4
209200–0.8135.586.5–176.6
209300–0.6131.194.3–177.9
20940.10–0.9132.493.5–181
20950.10–0.9139.288.6–182.1
20960.10–0.7136.291.6–181.7
209700–0.6126.790.6–178.6
209800–1139.893.2–178.1
209900–0.6138.689–187
21000.10–0.7142.595.7–195.1

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 Guinea

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment