Congo - Kinshasa vs South Sudan

Congo - Kinshasa vs South Sudan: Days above 35 °C

Days above 35 °C in 2014: 2 days in Congo - Kinshasa and 115.2 days in South Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Sudan, by 113.2 days, or 57 times that in Congo - Kinshasa.

days a year · CMIP6

Congo - Kinshasa vs South Sudan: Days above 35 °CDays above 35 °C in 2014: 2 days in Congo - Kinshasa and 115.2 days in South Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Sudan, by 113.2 days, or 57 times that in Congo - Kinshasa.
Congo - KinshasaSouth 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 Congo - Kinshasa at 25 days and South Sudan at 172 days in 2100.

Every year

days a year · CMIP6

YearCongo - KinshasaSouth Sudan
20142115.2
20132111.2
20122.1108.8
20111.8112.9
20101.7112.8
20091.8104.3
20081.5104.2
20071.2100.7
20061.5105.3
20051.9102.8
20041.7103.4
20031.4102.5
20021.7104.6
20011.8108.9
2000199.1
19991.197.8
19981.297.6
19971.199.2
1996194
19950.994
19940.889.9
19930.784.6
19920.687.9
19911.295.2
19901.294
19891.293.6
19880.998
1987197.7
19861.197.9
1985189.8
1984190.8
19830.990.8
19820.889.3
19810.996.2
19800.997.5
19790.895.4
19780.689.1
19770.992.9
19760.786.7
1975191.5
19740.890
19730.990.1
19720.689.8
19710.884.8
19700.687.8
19690.890.8
19680.785.5
19670.684.3
19660.687
19650.782.2
19640.379.2
19630.784.4
19620.993.5
19610.790.4
19600.992
1959190.1
19580.788
19570.890.7
19560.785.5
19550.887.3
19540.791
19530.995.5
19520.888.7
19510.893.2
19500.986.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCongo - KinshasaSouth Sudan
20152.60.6–7.2112.487.1–135.9
20161.80.1–4.9103.878.8–129.9
20172.30.3–6.8114.384.4–134.8
20182.30.4–6.4109.674.1–140.7
20192.10.2–8107.285.2–133.3
20202.30.5–7.1114.783–140.8
20212.80.7–7.1112.182.3–137.9
20222.60.6–7.1108.880.6–137.3
20232.50.5–7.1113.188.8–147.8
20242.90.8–8.2121.591–149.4
20252.70.6–6.9115.889.9–141.1
20263.10.5–8.9112.283.6–145.9
20273.10.4–10.7115.482.9–143.9
20283.50.6–10.3118.387.9–145.1
202941.1–11.2120.789.9–140.1
20303.30.6–10.6117.292.5–147.7
203140.9–12123.397.3–147.8
20324.50.8–13.6118.791.5–148.1
20333.90.8–12.3123.791.9–159.9
20344.20.6–13.2120.889.9–159.1
20354.21–14.5122.892.3–153.1
20364.40.3–11.6118.790.7–147.5
203751–14.4127.792.4–161
20385.61–14.9129.5101.9–159.2
20394.30.9–12.4128.394.6–153.1
20404.80.9–16125.894.8–150.7
20416.31–15133.899.2–157.8
20426.50.9–18.4129.3101.8–150.8
20435.60.9–17.2124.788.4–161.9
20445.11.1–14.812893.3–153.7
20455.81.1–13.8134.398–166.7
20468.31.2–20.5142.1102.3–172.2
204791.7–24.1139.3111.2–169.4
20488.61.6–21.1133.1102.8–175.4
20498.61.7–24.1144106.7–173.4
20507.11.1–19.8131.8102.7–175.9
20517.41.8–24.1136.9103.8–181
20529.21.7–21140.6107.1–170.7
205391.8–24.6136.798.4–174.4
20549.71.5–23.8143.499–172.9
20558.31.5–30.1143.4108.5–177.2
20569.50.8–30.7140.5106.1–187.1
205710.81.5–33152.3116.4–191.2
205811.92–28.6151.7101.9–183.5
205910.42.3–28.8145.9103.5–182.1
206012.31.7–31.3148.7106.5–190.2
206112.41.5–33149.5111.4–191.8
206210.52–30.9146.1106.4–194.6
206310.82–30.1147.1109.1–180.2
206411.32.6–32.5149.2109.2–185.1
206513.73.4–39.4153.7122.4–192.3
206611.42.8–33.3150.4119.4–190.7
206712.22.5–38.6149.8119–196.2
2068132.7–35.8153.9118.8–193.6
206912.51.2–34.5148.8111.4–191.2
2070122.7–42.2154.5117–195.8
2071142.4–40.1153.5117.6–200.4
207215.93.2–34.3161.7122–189.2
207317.23.2–51159.7124.4–198.7
207413.72.8–36.9151.9106.9–200.6
207513.82.1–45.3155.5106.6–190
207614.63.2–50159.9116.3–216.8
207717.13.6–42.2163.6123.7–216.5
207815.62.6–46.9161.4123.3–199.6
207916.63.8–46.1158.8127.9–190.6
208016.53.5–42.8161.6116.1–198.3
208116.72.8–52.1163.3126.3–208.9
208217.53.4–47.2159.2127.6–200.5
208318.54.3–59.2168129–211.4
208419.23.2–43.4162.7120.4–199.8
208519.54–53.3166.1126.3–209.4
208619.43.2–53.1162.5122.2–208.7
208718.63.2–55.4163.7110.7–202.2
208818.84.5–54.1164.8122.3–214.2
208919.94.9–52.3162.4126–199.8
2090194.5–48.3167120.8–211.8
209120.64.6–60.2165.6119.3–210.6
209221.64.2–57.7173.9126.9–217.6
209321.45.7–60.6168.8131.2–208.4
209423.54.9–63.1171.1131.9–222.8
209525.24.5–63.7171.7128.2–224.7
209619.44.3–59.5166.3122.8–214.1
209719.94–52.5165.8123.7–214.6
209820.83.2–65.2165.5125–217.9
209920.73.6–66171126.6–227.6
2100253.5–59172124.2–217.9

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

Congo - Kinshasa vs South Sudan

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