Congo - Kinshasa vs United Arab Emirates

Congo - Kinshasa vs United Arab Emirates: Days above 35 °C

Days above 35 °C in 2014: 2 days in Congo - Kinshasa and 188.2 days in United Arab Emirates, in the CMIP6 climate models’ median run. In 2014 the value was higher in United Arab Emirates, by 186.2 days, or 93 times that in Congo - Kinshasa.

days a year · CMIP6

Congo - Kinshasa vs United Arab Emirates: Days above 35 °CDays above 35 °C in 2014: 2 days in Congo - Kinshasa and 188.2 days in United Arab Emirates, in the CMIP6 climate models’ median run. In 2014 the value was higher in United Arab Emirates, by 186.2 days, or 93 times that in Congo - Kinshasa.
Congo - KinshasaUnited Arab EmiratesCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • United Arab Emirates 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 United Arab Emirates at 211.7 days in 2100.

Every year

days a year · CMIP6

YearCongo - KinshasaUnited Arab Emirates
20142188.2
20132186.1
20122.1186.5
20111.8186.2
20101.7184.6
20091.8182.8
20081.5184.9
20071.2183.2
20061.5182.4
20051.9184
20041.7183
20031.4181.2
20021.7184.4
20011.8185.8
20001183.5
19991.1182.7
19981.2179.4
19971.1180.6
19961177.8
19950.9178.9
19940.8179.9
19930.7173.8
19920.6173.5
19911.2176.1
19901.2179.8
19891.2176.8
19880.9177.1
19871176.2
19861.1177
19851174.6
19841176.3
19830.9170.9
19820.8174.8
19810.9177.2
19800.9178.3
19790.8174.3
19780.6175.3
19770.9173.8
19760.7176.1
19751171.8
19740.8173.4
19730.9175
19720.6172.7
19710.8170
19700.6172.4
19690.8172.3
19680.7172.5
19670.6169.7
19660.6172.2
19650.7170.5
19640.3171.1
19630.7172.1
19620.9174.7
19610.7174.7
19600.9175.7
19591175.1
19580.7177.7
19570.8176.8
19560.7174.3
19550.8174
19540.7173.4
19530.9174.2
19520.8175.2
19510.8174.5
19500.9173.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCongo - KinshasaUnited Arab Emirates
20152.60.6–7.2191.2179.8–204.4
20161.80.1–4.9189.6178.1–197.4
20172.30.3–6.8188171.7–199.5
20182.30.4–6.4189.4176.5–202.3
20192.10.2–8188.9176.5–199.6
20202.30.5–7.1191.1179.6–203.2
20212.80.7–7.1189.5176.6–201.4
20222.60.6–7.1189.6170.9–200.8
20232.50.5–7.1190.8179–205.1
20242.90.8–8.2192.5179.6–206
20252.70.6–6.9190.7180.4–202.7
20263.10.5–8.9195.8183.5–207.4
20273.10.4–10.7194.4181.1–206.7
20283.50.6–10.3194.9182.7–205.4
202941.1–11.2192.1179.1–205.4
20303.30.6–10.6196.6182.9–206.4
203140.9–12196.3182.6–206.8
20324.50.8–13.6194.1182.4–203
20333.90.8–12.3197.4184.9–212.1
20344.20.6–13.2203.2184.1–214.6
20354.21–14.5197.7184–208.1
20364.40.3–11.6196.3179.4–207.3
203751–14.4196.4187.8–208.6
20385.61–14.9199.4181.9–210
20394.30.9–12.4199.8185.5–210.9
20404.80.9–16199.6182.7–208.1
20416.31–15198.1183.2–210.9
20426.50.9–18.4199.2184.4–211.7
20435.60.9–17.2201.1183.5–212.8
20445.11.1–14.8201.1188.2–208.5
20455.81.1–13.8202189.1–212.7
20468.31.2–20.5199.2188.6–214.5
204791.7–24.1201.6193.4–213.9
20488.61.6–21.1204.3189.9–219.4
20498.61.7–24.1202.4187.6–213.8
20507.11.1–19.8206.3191–216.8
20517.41.8–24.1205.6193–217.4
20529.21.7–21204.2190.8–217.7
205391.8–24.6204.1189.3–214.8
20549.71.5–23.8201.8189.2–219.8
20558.31.5–30.1207.2190.6–220.1
20569.50.8–30.7204.4189.9–217.7
205710.81.5–33208.6196.9–223
205811.92–28.6204.4194.1–215.5
205910.42.3–28.8205.3186.3–217.3
206012.31.7–31.3208.1195–218.2
206112.41.5–33206.4193.8–215.8
206210.52–30.9209.9192.6–220.5
206310.82–30.1207.6195.5–221.1
206411.32.6–32.5205.1189–222.7
206513.73.4–39.4206.2190.5–221.6
206611.42.8–33.3209.6192.6–225.1
206712.22.5–38.6210.1197.6–223.1
2068132.7–35.8205194.4–216.7
206912.51.2–34.5209192.1–222.3
2070122.7–42.2209.4198.4–224
2071142.4–40.1214.1194.6–225.3
207215.93.2–34.3210.3194–222.6
207317.23.2–51211.9196.4–224.7
207413.72.8–36.9211.3194.9–225.3
207513.82.1–45.3209.5194.1–226.1
207614.63.2–50208.3195–226.6
207717.13.6–42.2212.1197.6–223.3
207815.62.6–46.9211.5198.5–223.7
207916.63.8–46.1207.9195.3–223.5
208016.53.5–42.8209.5195.7–225.6
208116.72.8–52.1211.3191.2–224.7
208217.53.4–47.2211196.8–227.8
208318.54.3–59.2214.3198.3–225.1
208419.23.2–43.4212.4201.1–226.6
208519.54–53.3212.3198.9–229.9
208619.43.2–53.1213.2196.1–230.7
208718.63.2–55.4213.3201.4–225.1
208818.84.5–54.1213.1201.1–229.8
208919.94.9–52.3214.3201.6–225.4
2090194.5–48.3213.9200.9–226.3
209120.64.6–60.2211.5201.4–224.6
209221.64.2–57.7212.1200.8–225.7
209321.45.7–60.6212.2197.4–229.7
209423.54.9–63.1213.7198.4–226.1
209525.24.5–63.7215204.2–226.4
209619.44.3–59.5215.8198.9–226.3
209719.94–52.5213196.7–228
209820.83.2–65.2214.6200.6–230.3
209920.73.6–66215203.6–229.1
2100253.5–59211.7198.7–224.8

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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