Congo - Kinshasa vs Niger

Congo - Kinshasa vs Niger: Days above 35 °C

Days above 35 °C in 2014: 2 days in Congo - Kinshasa and 209.1 days in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Niger, by 207.1 days, or 100 times that in Congo - Kinshasa.

days a year · CMIP6

Congo - Kinshasa vs Niger: Days above 35 °CDays above 35 °C in 2014: 2 days in Congo - Kinshasa and 209.1 days in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Niger, by 207.1 days, or 100 times that in Congo - Kinshasa.
Congo - KinshasaNigerCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Niger 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 Niger at 242.2 days in 2100.

Every year

days a year · CMIP6

YearCongo - KinshasaNiger
20142209.1
20132205.4
20122.1206
20111.8207.1
20101.7205.9
20091.8204.2
20081.5204.4
20071.2201.3
20061.5198.7
20051.9200.6
20041.7199.3
20031.4201.3
20021.7202.4
20011.8201.1
20001197.9
19991.1196.9
19981.2192.7
19971.1197.8
19961194.5
19950.9193.7
19940.8193.1
19930.7186.1
19920.6187.1
19911.2195.9
19901.2192.7
19891.2192.9
19880.9190.4
19871190.2
19861.1196.3
19851189.1
19841189.6
19830.9189.7
19820.8187.5
19810.9190.9
19800.9191.8
19790.8189.1
19780.6186.3
19770.9190.8
19760.7189.5
19751185
19740.8184.8
19730.9192.4
19720.6189.8
19710.8186.7
19700.6188.9
19690.8184.3
19680.7188.6
19670.6183.6
19660.6185.4
19650.7185.7
19640.3181.4
19630.7179.4
19620.9189
19610.7186.5
19600.9194.1
19591190.2
19580.7186.8
19570.8194
19560.7188.3
19550.8188.8
19540.7189
19530.9188.3
19520.8188.4
19510.8190.5
19500.9189.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCongo - KinshasaNiger
20152.60.6–7.2205.1180.6–228.1
20161.80.1–4.9204.2180.2–222.1
20172.30.3–6.8210.9185.3–233.6
20182.30.4–6.4206183.2–227.4
20192.10.2–8206.7178.9–231.2
20202.30.5–7.1207.9183.1–226.7
20212.80.7–7.1209189.8–228
20222.60.6–7.1213190.1–231
20232.50.5–7.1207186.6–229.1
20242.90.8–8.2216.5197.3–234.6
20252.70.6–6.9214.6195.3–232
20263.10.5–8.9210.3178.5–235.6
20273.10.4–10.7216.5188.8–235.6
20283.50.6–10.3217188.5–233.4
202941.1–11.2218.1194.8–237.8
20303.30.6–10.6217.1191.5–237
203140.9–12215195.1–239.7
20324.50.8–13.6213.2192.1–232
20333.90.8–12.3217.2196.1–237
20344.20.6–13.2216.7191–240
20354.21–14.5219.7195.8–235.8
20364.40.3–11.6216.2196–236.1
203751–14.4222.3199.9–240.2
20385.61–14.9219.5198.9–243.8
20394.30.9–12.4218.3195.6–242.5
20404.80.9–16218.7200.4–240.1
20416.31–15222.2200.4–245
20426.50.9–18.4222201.7–244.6
20435.60.9–17.2220.5198.6–236.4
20445.11.1–14.8218.2198.9–241.6
20455.81.1–13.8222202–242
20468.31.2–20.5225.1198–243
204791.7–24.1229.1204.3–245.7
20488.61.6–21.1225.8200.7–247.3
20498.61.7–24.1222.4197.3–242.8
20507.11.1–19.8224.7203.3–246.8
20517.41.8–24.1224.6203.8–242.1
20529.21.7–21229.7204.6–252.7
205391.8–24.6225.2204.6–248.6
20549.71.5–23.8229199.7–252.3
20558.31.5–30.1230.7210.5–249.6
20569.50.8–30.7229.8199.3–254.5
205710.81.5–33231.1205.6–251.8
205811.92–28.6226.7203.5–249.9
205910.42.3–28.8233.3210.7–256
206012.31.7–31.3230.9206.7–251.3
206112.41.5–33232.3207.4–256.9
206210.52–30.9233211.8–254.7
206310.82–30.1228.8206.1–248.5
206411.32.6–32.5232.3207.9–252.9
206513.73.4–39.4233.4211.8–253.6
206611.42.8–33.3236.5212.7–261.5
206712.22.5–38.6229.1206.5–253.3
2068132.7–35.8233.9210.6–259.9
206912.51.2–34.5233.2210.6–253.7
2070122.7–42.2235.8209.1–254.8
2071142.4–40.1237.9218.7–258.9
207215.93.2–34.3237.9218–259.8
207317.23.2–51235.1210–259.4
207413.72.8–36.9235.2212.8–261.3
207513.82.1–45.3239.3212.9–259.7
207614.63.2–50238.9215.3–262.6
207717.13.6–42.2242218.1–264
207815.62.6–46.9241.4216.1–262.3
207916.63.8–46.1235.6213.1–259.6
208016.53.5–42.8238.2215.8–263.6
208116.72.8–52.1240.1217.1–267.5
208217.53.4–47.2238215.5–261.3
208318.54.3–59.2242.5216.2–264
208419.23.2–43.4239.2214.3–261.4
208519.54–53.3241.7216.6–264.8
208619.43.2–53.1240.9220–270.6
208718.63.2–55.4236.9208.4–262.9
208818.84.5–54.1236.9216.5–271.3
208919.94.9–52.3242.4215.5–267.5
2090194.5–48.3242.1213.6–262.2
209120.64.6–60.2241.3218.9–266.5
209221.64.2–57.7245217.6–266.3
209321.45.7–60.6242.2219.3–262.9
209423.54.9–63.1245.1220.3–263.4
209525.24.5–63.7244.1218.8–266.6
209619.44.3–59.5241.9225.1–264.5
209719.94–52.5241.4218–265.6
209820.83.2–65.2240.8215.3–263.5
209920.73.6–66247.1221.7–265.4
2100253.5–59242.2221.3–266.4

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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