Benin vs Rwanda

Benin vs Rwanda: Days above 35 °C

Days above 35 °C in 2014: 108 days in Benin and 0 days in Rwanda, in the CMIP6 climate models’ median run. In 2014 the value was higher in Benin, by 108 days.

Watch it change on the map

days a year · CMIP6

Benin vs Rwanda: Days above 35 °CDays above 35 °C in 2014: 108 days in Benin and 0 days in Rwanda, in the CMIP6 climate models’ median run. In 2014 the value was higher in Benin, by 108 days.
BeninRwandaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Benin has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Benin at 181.8 days and Rwanda at 0 days in 2100.

Every year

days a year · CMIP6

YearBeninRwanda
20141080
2013105.60
2012103.60
2011103.60
2010100.90
200996.50
200895.40
200796.70
200696.10
200597.70
2004101.30
200395.10
200293.80
2001101.40
200097.80
199990.80
199890.30
199793.90
199685.50
199586.40
199483.40
199380.50
199276.80
199188.60
199092.40
198983.30
198889.90
198790.20
198691.10
198584.20
198486.80
198386.90
198285.50
198187.30
198087.10
1979870
197884.70
197787.90
197680.60
197582.60
197481.40
1973850
197284.20
197181.80
197079.60
196983.50
196877.90
196781.10
196679.50
196577.40
196469.60
196380.70
196285.50
196187.80
1960870
195985.10
195888.50
195786.50
195679.60
195583.10
195485.70
195389.10
195284.20
195188.40
195083.10
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBeninRwanda
2015106.178.6–131.300–0
201698.673.3–119.900–0
2017103.980.2–135.600–0
2018103.967.8–13100–0
201910774.7–131.100–0
2020105.368.1–136.700–0
2021104.682.1–131.300–0
2022114.481.7–144.500–0
2023108.580.6–136.300–0
2024115.490.8–144.300–0
2025111.587.7–138.800–0
2026115.272.2–141.700–0
2027119.571.4–146.300–0
2028117.188.3–156.700–0
202912089.5–146.700–0
203012281.4–150.900–0
2031123.487.4–15000–0
2032124.478.6–161.800–0
2033123.484.1–155.700–0
2034124.787.9–15300–0
2035121.483.7–159.300–0
203612481.6–157.400–0
2037133.488.3–162.700–0
2038133.498.6–164.400–0
2039132.295.8–160.200–0
2040129.390.6–167.200–0
204113798.2–168.200–0
2042135.396.6–165.700–0
2043132.9101.1–165.500–0
2044136.888.1–170.300–0
2045140.595.8–17800–0
2046148.9100.3–175.800–0
2047147.5101.6–173.400–0
2048144.4105.8–178.900–0
2049145.3112.7–175.400–0
2050141.4107.2–184.100–0
2051142.6105.6–186.100–0
2052150.5103.5–19000–0
2053143.4104.6–189.300–0
2054149.8108.9–189.700–0
2055150.9115.4–193.700–0
2056153.6112.9–196.500–0
2057168.3114.9–194.800–0
2058155.9115.6–189.500–0
2059155122–196.600–0
2060159.7112.9–195.400–0
2061162.8110.6–197.900–0
2062158.2116.9–201.500–0
2063165.6122.8–205.900–0
2064161115.8–196.700–0
2065165.1118.3–196.800–0
2066157.3125–203.900–0
2067158.3118.9–206.600–0
2068162.5118.9–203.100–0
2069164.3118.8–209.700–0
2070163114.1–208.800–0
2071169.9113.8–214.900–0
2072167.4119.5–209.300–0
2073169.4122.4–216.700–0
2074164.9116.4–222.800–0
2075176.7116.6–209.400–0
2076170.5130.4–214.100–0
2077181.8127.5–221.200–0
2078171.9128.8–217.800–0
2079175.4131.7–212.400–0
2080183.1121.3–215.700–0
2081173.9122.5–219.100–0
2082172.4126.2–219.800–0
2083177.2131.2–222.200–0
2084174.6130.9–222.300–0
2085186.3131.3–224.600–0
2086178.7124.8–224.600–0
2087183.2124.3–218.500–0
2088181.6131.3–223.400–0
2089172.2128.9–227.600–0
2090177.1135.1–22800–0
2091184.8127.9–222.400–0
2092193.6130.9–228.600–0
2093186.1135.5–232.400–0
2094182.1136.8–228.100–0
2095196.1122.4–231.500–0.1
2096185.2135.2–235.100–0
2097178.6131.5–227.300–0
2098183.4131.9–228.800–0
2099190.6129.1–238.900–0
2100181.8131.4–238.500–0

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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