Congo - Kinshasa vs India

Congo - Kinshasa vs India: Days above 35 °C

Days above 35 °C in 2014: 2 days in Congo - Kinshasa and 80.6 days in India, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 78.6 days, or 40 times that in Congo - Kinshasa.

days a year · CMIP6

Congo - Kinshasa vs India: Days above 35 °CDays above 35 °C in 2014: 2 days in Congo - Kinshasa and 80.6 days in India, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 78.6 days, or 40 times that in Congo - Kinshasa.
Congo - KinshasaIndiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • India 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 India at 111.9 days in 2100.

Every year

days a year · CMIP6

YearCongo - KinshasaIndia
2014280.6
2013279.2
20122.181.3
20111.879.9
20101.780.8
20091.878.4
20081.577
20071.279
20061.576.2
20051.979.9
20041.780.1
20031.476.9
20021.779.2
20011.880.1
2000176.6
19991.177.1
19981.276.9
19971.175.4
1996172.1
19950.975.4
19940.876.3
19930.772.3
19920.668.7
19911.278.1
19901.276.7
19891.275.5
19880.973.9
1987175.3
19861.176.8
1985173
1984175.9
19830.974.1
19820.876.1
19810.976.3
19800.975.3
19790.874.4
19780.674.4
19770.974.6
19760.776
1975171
19740.875.8
19730.977.9
19720.671.1
19710.874.1
19700.673.7
19690.873.3
19680.772.2
19670.671.3
19660.675.3
19650.773.7
19640.368.9
19630.770.4
19620.974.2
19610.775.4
19600.975.4
1959177.9
19580.774.8
19570.875.5
19560.775.6
19550.874.8
19540.775.3
19530.975.2
19520.876
19510.876.3
19500.976.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCongo - KinshasaIndia
20152.60.6–7.281.664.7–96
20161.80.1–4.98063.1–96.1
20172.30.3–6.879.461.7–95.3
20182.30.4–6.482.461.5–95.7
20192.10.2–879.160.2–95.2
20202.30.5–7.182.262.4–99
20212.80.7–7.182.167.7–96.4
20222.60.6–7.183.962.8–100.3
20232.50.5–7.183.164–99.3
20242.90.8–8.284.766.4–100.3
20252.70.6–6.981.662.4–97.1
20263.10.5–8.984.866.1–101.3
20273.10.4–10.783.563.7–102
20283.50.6–10.382.862.9–99.9
202941.1–11.289.566–105.9
20303.30.6–10.684.265.7–100.2
203140.9–1285.466.7–103.4
20324.50.8–13.685.665.5–105.3
20333.90.8–12.383.865.8–99.8
20344.20.6–13.285.467.4–104.8
20354.21–14.585.766.6–105.3
20364.40.3–11.684.565.5–101.8
203751–14.489.772.2–107.5
20385.61–14.990.269.1–107.1
20394.30.9–12.487.168.5–107.4
20404.80.9–1687.566.6–106
20416.31–1589.171.2–107.8
20426.50.9–18.495.475.7–112.9
20435.60.9–17.291.270.1–111.1
20445.11.1–14.890.471.6–110.9
20455.81.1–13.891.772–108.5
20468.31.2–20.595.469.1–117
204791.7–24.194.272.6–113.5
20488.61.6–21.197.673.2–120.5
20498.61.7–24.195.173.8–117.5
20507.11.1–19.894.474.5–117
20517.41.8–24.194.775.8–114.7
20529.21.7–2196.876.1–116.5
205391.8–24.694.673.9–116.7
20549.71.5–23.896.574.3–117
20558.31.5–30.199.175.7–118
20569.50.8–30.799.173.7–118.2
205710.81.5–33100.371.9–123.9
205811.92–28.697.775.1–121.5
205910.42.3–28.8102.380.5–127.4
206012.31.7–31.310380.3–124.4
206112.41.5–33100.978.4–122.6
206210.52–30.9100.175.4–126.5
206310.82–30.1100.678.3–122.1
206411.32.6–32.510081–123.3
206513.73.4–39.4103.580.5–128.2
206611.42.8–33.3100.780.7–124.6
206712.22.5–38.699.678.4–126
2068132.7–35.8102.780.1–130.1
206912.51.2–34.510477.5–128.1
2070122.7–42.2101.179.7–125.6
2071142.4–40.1105.581.4–132.1
207215.93.2–34.3104.384.4–128.2
207317.23.2–51108.485.4–130
207413.72.8–36.9105.182.9–126.8
207513.82.1–45.3102.578.8–126
207614.63.2–50105.582.2–134.6
207717.13.6–42.2107.484.1–132.6
207815.62.6–46.9107.382.8–127.7
207916.63.8–46.1105.379.7–127.2
208016.53.5–42.8109.784.5–135.9
208116.72.8–52.1108.986.2–134.4
208217.53.4–47.2105.783.4–133.6
208318.54.3–59.2110.287.8–135.8
208419.23.2–43.4111.582.3–138.1
208519.54–53.3112.381.2–143.6
208619.43.2–53.1107.882.8–141.1
208718.63.2–55.4107.980.1–134
208818.84.5–54.1107.984.4–143.1
208919.94.9–52.3107.981.7–137.3
2090194.5–48.3108.883.9–136.6
209120.64.6–60.2113.486.9–144
209221.64.2–57.7113.587.1–142.8
209321.45.7–60.6108.482.7–144.8
209423.54.9–63.1111.386.8–139.5
209525.24.5–63.7114.186.4–143.6
209619.44.3–59.510880.4–140.3
209719.94–52.5110.385–137.8
209820.83.2–65.2113.687.7–141.1
209920.73.6–66112.585.3–137.7
2100253.5–59111.986.8–138.7

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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