Congo - Kinshasa vs Pakistan

Congo - Kinshasa vs Pakistan: Days above 35 °C

Days above 35 °C in 2014: 2 days in Congo - Kinshasa and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 116.6 days, or 58 times that in Congo - Kinshasa.

days a year · CMIP6

Congo - Kinshasa vs Pakistan: Days above 35 °CDays above 35 °C in 2014: 2 days in Congo - Kinshasa and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 116.6 days, or 58 times that in Congo - Kinshasa.
Congo - KinshasaPakistanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Pakistan 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 Pakistan at 147.6 days in 2100.

Every year

days a year · CMIP6

YearCongo - KinshasaPakistan
20142118.6
20132117.5
20122.1117.5
20111.8118
20101.7114.3
20091.8115.3
20081.5115.4
20071.2112.5
20061.5112.9
20051.9114.9
20041.7116.1
20031.4114.6
20021.7115.9
20011.8114.4
20001114.6
19991.1114.2
19981.2111.7
19971.1112
19961108.3
19950.9110
19940.8108.6
19930.7107.2
19920.6105.2
19911.2110.6
19901.2110.7
19891.2110.9
19880.9109.8
19871108.3
19861.1108.7
19851105.6
19841108
19830.9104.7
19820.8108
19810.9109.5
19800.9109.7
19790.8108.7
19780.6108.6
19770.9106.5
19760.7108.2
19751105
19740.8108.8
19730.9108
19720.6104.5
19710.8106.2
19700.6106.5
19690.8105.8
19680.7104.4
19670.6106.4
19660.6106.4
19650.7106
19640.3103
19630.7104.3
19620.9106.7
19610.7108.7
19600.9108.7
19591110.4
19580.7108.5
19570.8110.7
19560.7108.8
19550.8108.3
19540.7107
19530.9107.6
19520.8108.9
19510.8108.1
19500.9110.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCongo - KinshasaPakistan
20152.60.6–7.2122100.8–136.6
20161.80.1–4.9119.5104.9–132
20172.30.3–6.8119.999.5–134.3
20182.30.4–6.4119.7103–133.8
20192.10.2–8118.997.2–133.8
20202.30.5–7.1122.8105–136.3
20212.80.7–7.1122.9103.2–138.2
20222.60.6–7.1120.7101.9–136.4
20232.50.5–7.1123.3104.8–138.8
20242.90.8–8.2124.4105.4–139.1
20252.70.6–6.9123.8102.8–139.1
20263.10.5–8.9122.5101.9–141.8
20273.10.4–10.7124.4101.5–141
20283.50.6–10.3124.8103.6–140.2
202941.1–11.2126.499.2–141.6
20303.30.6–10.6122.5103.5–140.1
203140.9–12122.7105.6–139.9
20324.50.8–13.6126104–143.9
20333.90.8–12.3125.9106.6–144.1
20344.20.6–13.2130.9113.2–147.8
20354.21–14.5127.1107.6–143.6
20364.40.3–11.6125.5108.3–143.4
203751–14.4130.7112.4–147.9
20385.61–14.9130.9108.6–144.9
20394.30.9–12.4128.6110.2–144.9
20404.80.9–16133.2115.1–146.1
20416.31–15127.2108.3–143.5
20426.50.9–18.4134.6112.8–150.7
20435.60.9–17.2131.6112.5–149.3
20445.11.1–14.8128.2108.1–145.9
20455.81.1–13.8133.4116.7–148.7
20468.31.2–20.5133.8109–151.1
204791.7–24.1134.6110–150.9
20488.61.6–21.1136117.1–152.3
20498.61.7–24.1133.3115.2–152.5
20507.11.1–19.8138.4119.4–157.4
20517.41.8–24.1138115.5–158.2
20529.21.7–21138.3120.3–155.3
205391.8–24.6137.4117.7–155.8
20549.71.5–23.8137116–152.4
20558.31.5–30.1139.6120–157.2
20569.50.8–30.7135.8117.3–154.1
205710.81.5–33141.5119.5–158.8
205811.92–28.6137.1114.3–154.7
205910.42.3–28.8141.4122.6–156.6
206012.31.7–31.3142.5124.1–158.6
206112.41.5–33142.3123.2–157.4
206210.52–30.9141.3118.8–161.2
206310.82–30.1143.1125.6–160.6
206411.32.6–32.5140.7119.8–163.5
206513.73.4–39.4141.1121.5–159.3
206611.42.8–33.3143.8122.5–163.4
206712.22.5–38.6144.2125.9–162.3
2068132.7–35.8143.2126–162.2
206912.51.2–34.5144.7119.8–163.2
2070122.7–42.2143.7126.5–163
2071142.4–40.1145.5121.8–164.4
207215.93.2–34.3147.1125.5–165.1
207317.23.2–51149.2122.1–164.7
207413.72.8–36.9145.8126.7–162.2
207513.82.1–45.3145.1126.2–160.5
207614.63.2–50145.7126.4–165.9
207717.13.6–42.2146.1126.2–164.4
207815.62.6–46.9146.5121.4–164.4
207916.63.8–46.1144.6122.7–161
208016.53.5–42.8148.2123.7–166.4
208116.72.8–52.1145.8122.2–167
208217.53.4–47.2146123.3–168.8
208318.54.3–59.2148.3127–167.4
208419.23.2–43.4150.5128.5–167.6
208519.54–53.3149.9126.1–170.8
208619.43.2–53.1146.3124.2–165
208718.63.2–55.4149.9124.3–167.3
208818.84.5–54.1149.3127.9–169.7
208919.94.9–52.3148.9129.6–166.7
2090194.5–48.3150.3131.5–166.7
209120.64.6–60.2151.1128.4–168.7
209221.64.2–57.7150.5129.8–170.2
209321.45.7–60.6151.6131.8–167.9
209423.54.9–63.1151.5130.4–168.6
209525.24.5–63.7152.5130.6–169.2
209619.44.3–59.5150.8124.2–169
209719.94–52.5149.4130.3–167.5
209820.83.2–65.2151.7125.4–168.2
209920.73.6–66151.6124.4–170.6
2100253.5–59147.6125.2–167.5

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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