Congo - Kinshasa vs Malawi

Congo - Kinshasa vs Malawi: Days above 35 °C

Days above 35 °C in 2014: 2 days in Congo - Kinshasa and 3.7 days in Malawi, in the CMIP6 climate models’ median run. In 2014 the value was higher in Malawi, by 1.7 days, or 1.84 times that in Congo - Kinshasa.

days a year · CMIP6

Congo - Kinshasa vs Malawi: Days above 35 °CDays above 35 °C in 2014: 2 days in Congo - Kinshasa and 3.7 days in Malawi, in the CMIP6 climate models’ median run. In 2014 the value was higher in Malawi, by 1.7 days, or 1.84 times that in Congo - Kinshasa.
Congo - KinshasaMalawiCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Malawi 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 Malawi at 16.3 days in 2100.

Every year

days a year · CMIP6

YearCongo - KinshasaMalawi
201423.7
201324.3
20122.13.5
20111.83.1
20101.73.4
20091.83.2
20081.53.2
20071.23.5
20061.53.1
20051.93
20041.73.4
20031.43.7
20021.73.5
20011.83.6
200013.2
19991.12.7
19981.23.1
19971.12.8
199612.7
19950.92.3
19940.82.3
19930.71.7
19920.62.3
19911.22.3
19901.22.5
19891.22.5
19880.92.6
198712.4
19861.12.5
198512
198412.2
19830.92.5
19820.82.2
19810.92.3
19800.92.4
19790.82.3
19780.62.1
19770.92.4
19760.72
197512.4
19740.82.5
19730.92.1
19720.62
19710.82
19700.62.3
19690.82.3
19680.72
19670.62
19660.61.7
19650.72.4
19640.31.4
19630.72
19620.92.2
19610.72.3
19600.92.5
195912.6
19580.72.6
19570.82.2
19560.72
19550.82.3
19540.72.5
19530.91.9
19520.82.1
19510.81.9
19500.92.2
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCongo - KinshasaMalawi
20152.60.6–7.24.62.2–8.3
20161.80.1–4.94.22.1–8.2
20172.30.3–6.84.12.3–7.6
20182.30.4–6.44.22.2–7.4
20192.10.2–84.32.4–7.7
20202.30.5–7.14.82–8.5
20212.80.7–7.13.72.1–6.7
20222.60.6–7.14.82.5–8.6
20232.50.5–7.15.52.5–9
20242.90.8–8.24.72.7–7.7
20252.70.6–6.94.71.4–9.6
20263.10.5–8.94.82.7–9.2
20273.10.4–10.762.9–13
20283.50.6–10.35.32.7–8.9
202941.1–11.25.32.4–10.7
20303.30.6–10.65.42.5–13.1
203140.9–125.53.1–9.9
20324.50.8–13.65.72.9–11
20333.90.8–12.372.9–12.9
20344.20.6–13.26.73.3–13
20354.21–14.56.73.1–13.6
20364.40.3–11.65.52.8–11.8
203751–14.47.13.6–13.7
20385.61–14.97.34.2–13.7
20394.30.9–12.46.33.2–13.5
20404.80.9–166.33.1–12.1
20416.31–1572.9–13.3
20426.50.9–18.46.83.8–12.4
20435.60.9–17.26.53.5–16.7
20445.11.1–14.86.92.8–15.2
20455.81.1–13.87.13.9–12.2
20468.31.2–20.57.83.8–14.2
204791.7–24.18.34–17.8
20488.61.6–21.19.14.7–17.3
20498.61.7–24.17.33.8–15
20507.11.1–19.89.54.7–18.2
20517.41.8–24.110.64.5–23.3
20529.21.7–21105–21
205391.8–24.68.72.4–19.7
20549.71.5–23.89.93.7–23.4
20558.31.5–30.110.64.6–20.7
20569.50.8–30.710.33.7–22.2
205710.81.5–3310.54.6–21.4
205811.92–28.611.35.9–20.5
205910.42.3–28.811.55.6–21.2
206012.31.7–31.310.84.1–22.7
206112.41.5–3311.34.8–22.1
206210.52–30.911.35.1–22.7
206310.82–30.110.15.2–23.7
206411.32.6–32.511.85–20.3
206513.73.4–39.412.85.1–26.9
206611.42.8–33.3126–29.8
206712.22.5–38.610.44.9–22.7
2068132.7–35.811.45–23.2
206912.51.2–34.513.15.1–24.7
2070122.7–42.212.15.2–23.4
2071142.4–40.113.75–26.6
207215.93.2–34.314.36.3–26.1
207317.23.2–5114.85.2–31
207413.72.8–36.911.45.2–26.8
207513.82.1–45.311.65.5–26.2
207614.63.2–5013.35.3–28.2
207717.13.6–42.213.56.6–25.7
207815.62.6–46.913.95–24.9
207916.63.8–46.114.37–26.2
208016.53.5–42.813.56.3–29.4
208116.72.8–52.113.94.7–26.2
208217.53.4–47.212.46.4–28.7
208318.54.3–59.214.47.5–27.7
208419.23.2–43.414.76.5–27.6
208519.54–53.315.77.8–31.7
208619.43.2–53.1136.6–27.8
208718.63.2–55.413.96.4–30.6
208818.84.5–54.117.15.9–35.2
208919.94.9–52.315.67–28.8
2090194.5–48.317.34.8–37.7
209120.64.6–60.217.95.2–35.8
209221.64.2–57.716.76.7–34.9
209321.45.7–60.615.95.8–32.8
209423.54.9–63.118.86–34.8
209525.24.5–63.716.77.4–29.2
209619.44.3–59.516.36.4–31.6
209719.94–52.5145.6–30.8
209820.83.2–65.215.77.8–29.3
209920.73.6–6618.37.2–39.1
2100253.5–5916.36.6–32.1

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 Malawi

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