Chad vs Rwanda

Chad vs Rwanda: Days above 35 °C

Days above 35 °C in 2014: 187.2 days in Chad and 0 days in Rwanda, 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

Chad vs Rwanda: Days above 35 °CDays above 35 °C in 2014: 187.2 days in Chad and 0 days in Rwanda, in the CMIP6 climate models’ median run. In 2014 the value was higher in Chad, by 187.2 days.
ChadRwandaCMIP6 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 Chad at 230.3 days and Rwanda at 0 days in 2100.

Every year

days a year · CMIP6

YearChadRwanda
2014187.20
2013182.20
2012184.10
20111840
2010182.30
2009177.10
2008176.60
2007174.90
2006175.30
2005173.80
2004175.50
2003176.10
2002176.10
2001180.10
2000173.30
1999170.70
1998166.80
1997171.50
1996167.30
1995167.20
1994165.30
1993158.90
1992158.40
1991168.10
1990168.70
1989166.90
1988167.60
1987164.30
1986170.50
19851620
1984161.30
1983161.20
1982159.20
1981164.30
1980164.60
19791630
1978160.30
1977161.40
1976159.80
1975156.90
1974157.60
1973164.80
1972161.40
1971158.70
1970160.40
1969156.80
1968157.60
19671550
1966156.90
1965157.40
1964152.20
1963150.10
1962161.80
1961160.40
1960166.30
1959159.90
1958160.90
1957163.10
1956159.30
1955159.60
1954159.80
1953161.10
1952161.70
1951163.60
1950160.60
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearChadRwanda
2015184.1153.9–205.200–0
2016179.9150.6–201.900–0
2017185.5156.4–210.200–0
2018180.7153.2–20600–0
2019182.2153.5–208.900–0
2020183.2154.8–206.800–0
2021187.2156.5–209.500–0
2022187161.9–212.600–0
2023185160.4–208.600–0
2024192.4172.2–213.800–0
2025191166–212.100–0
2026186.6152.4–214.200–0
2027190.6157.6–213.300–0
2028191.7161–214.400–0
2029193.6167.4–215.700–0
2030194.7165.8–217.900–0
2031193163.2–220.900–0
2032192.4167.3–21500–0
2033195.6171.3–219.500–0
2034194.6166.8–223.600–0
2035196.8163.3–221.400–0
2036193.9166.6–216.500–0
2037199.7172.7–223.300–0
2038201177.2–225.100–0
2039199171.5–222.500–0
2040199.4169.8–223.200–0
2041202.3173.3–22700–0
2042201.3171.5–225.600–0
2043199.1171.1–222.400–0
2044199.3169.7–223.700–0
2045202.6173.4–228.400–0
2046209.1172.1–231.900–0
2047207175.1–23000–0
2048207.1179.1–231.800–0
2049205173.7–229.200–0
2050205.3174.8–233.600–0
2051205179.7–232.700–0
2052211.7176.4–236.100–0
2053208.7176.2–233.500–0
2054213.8172.2–235.800–0
2055213.9185–235.600–0
2056210.7180.5–23900–0
2057216.3186.1–240.600–0
2058212.4181–235.300–0
2059215.2186.5–243.100–0
2060214.9186.3–241.600–0
2061214.7181.7–243.200–0
2062215.8183–242.900–0
2063214.7186.4–237.800–0
2064216.1186.2–24400–0
2065217.7194.5–241.900–0
2066219.7190–249.300–0
2067214.9189.9–245.200–0
2068218.4188.5–246.900–0
2069216.1184.3–245.300–0
2070221.4186.3–246.200–0
2071225.7190.5–24900–0
2072222.8195.7–248.500–0
2073221.5191.4–249.100–0
2074219.2185.9–251.300–0
2075224.3187.8–249.400–0
2076222.7194.1–252.800–0
2077227.5195.3–253.900–0
2078225.1197.2–250.400–0
2079222.7192.5–248.800–0
2080224.8190.9–252.800–0
2081225.4195.3–25500–0
2082223.1195.2–256.100–0
2083227.9197.3–253.700–0
2084224.1193.8–252.400–0
2085227.6199.6–253.100–0
2086226.6195.1–261.800–0
2087223.9190.2–252.300–0
2088220.7193.8–260.300–0
2089225.9191.8–254.400–0
2090230.1192.8–254.700–0
2091228.4195.4–254.300–0
2092231.3198.8–255.900–0
2093228.4200.3–254.700–0
2094231.3201.1–255.700–0
2095232.7197.9–258.500–0.1
2096228.1200.4–255.100–0
2097226.8198.5–255.600–0
2098227.7194.7–253.800–0
2099232.1203.4–258.100–0
2100230.3201.6–261.300–0

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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