Rwanda vs South Sudan

Rwanda vs South Sudan: Days above 35 °C

Days above 35 °C in 2014: 0 days in Rwanda and 115.2 days in South Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Sudan, by 115.2 days.

days a year · CMIP6

Rwanda vs South Sudan: Days above 35 °CDays above 35 °C in 2014: 0 days in Rwanda and 115.2 days in South Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Sudan, by 115.2 days.
RwandaSouth SudanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • South Sudan has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Rwanda at 0 days and South Sudan at 172 days in 2100.

Every year

days a year · CMIP6

YearRwandaSouth Sudan
20140115.2
20130111.2
20120108.8
20110112.9
20100112.8
20090104.3
20080104.2
20070100.7
20060105.3
20050102.8
20040103.4
20030102.5
20020104.6
20010108.9
2000099.1
1999097.8
1998097.6
1997099.2
1996094
1995094
1994089.9
1993084.6
1992087.9
1991095.2
1990094
1989093.6
1988098
1987097.7
1986097.9
1985089.8
1984090.8
1983090.8
1982089.3
1981096.2
1980097.5
1979095.4
1978089.1
1977092.9
1976086.7
1975091.5
1974090
1973090.1
1972089.8
1971084.8
1970087.8
1969090.8
1968085.5
1967084.3
1966087
1965082.2
1964079.2
1963084.4
1962093.5
1961090.4
1960092
1959090.1
1958088
1957090.7
1956085.5
1955087.3
1954091
1953095.5
1952088.7
1951093.2
1950086.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearRwandaSouth Sudan
201500–0112.487.1–135.9
201600–0103.878.8–129.9
201700–0114.384.4–134.8
201800–0109.674.1–140.7
201900–0107.285.2–133.3
202000–0114.783–140.8
202100–0112.182.3–137.9
202200–0108.880.6–137.3
202300–0113.188.8–147.8
202400–0121.591–149.4
202500–0115.889.9–141.1
202600–0112.283.6–145.9
202700–0115.482.9–143.9
202800–0118.387.9–145.1
202900–0120.789.9–140.1
203000–0117.292.5–147.7
203100–0123.397.3–147.8
203200–0118.791.5–148.1
203300–0123.791.9–159.9
203400–0120.889.9–159.1
203500–0122.892.3–153.1
203600–0118.790.7–147.5
203700–0127.792.4–161
203800–0129.5101.9–159.2
203900–0128.394.6–153.1
204000–0125.894.8–150.7
204100–0133.899.2–157.8
204200–0129.3101.8–150.8
204300–0124.788.4–161.9
204400–012893.3–153.7
204500–0134.398–166.7
204600–0142.1102.3–172.2
204700–0139.3111.2–169.4
204800–0133.1102.8–175.4
204900–0144106.7–173.4
205000–0131.8102.7–175.9
205100–0136.9103.8–181
205200–0140.6107.1–170.7
205300–0136.798.4–174.4
205400–0143.499–172.9
205500–0143.4108.5–177.2
205600–0140.5106.1–187.1
205700–0152.3116.4–191.2
205800–0151.7101.9–183.5
205900–0145.9103.5–182.1
206000–0148.7106.5–190.2
206100–0149.5111.4–191.8
206200–0146.1106.4–194.6
206300–0147.1109.1–180.2
206400–0149.2109.2–185.1
206500–0153.7122.4–192.3
206600–0150.4119.4–190.7
206700–0149.8119–196.2
206800–0153.9118.8–193.6
206900–0148.8111.4–191.2
207000–0154.5117–195.8
207100–0153.5117.6–200.4
207200–0161.7122–189.2
207300–0159.7124.4–198.7
207400–0151.9106.9–200.6
207500–0155.5106.6–190
207600–0159.9116.3–216.8
207700–0163.6123.7–216.5
207800–0161.4123.3–199.6
207900–0158.8127.9–190.6
208000–0161.6116.1–198.3
208100–0163.3126.3–208.9
208200–0159.2127.6–200.5
208300–0168129–211.4
208400–0162.7120.4–199.8
208500–0166.1126.3–209.4
208600–0162.5122.2–208.7
208700–0163.7110.7–202.2
208800–0164.8122.3–214.2
208900–0162.4126–199.8
209000–0167120.8–211.8
209100–0165.6119.3–210.6
209200–0173.9126.9–217.6
209300–0168.8131.2–208.4
209400–0171.1131.9–222.8
209500–0.1171.7128.2–224.7
209600–0166.3122.8–214.1
209700–0165.8123.7–214.6
209800–0165.5125–217.9
209900–0171126.6–227.6
210000–0172124.2–217.9

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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