France vs Tanzania

France vs Tanzania: Tropical nights

Tropical nights in 2014: 3.1 nights in France and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Tanzania, by 103.2 nights, or 35 times that in France.

nights a year · CMIP6

France vs Tanzania: Tropical nightsTropical nights in 2014: 3.1 nights in France and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Tanzania, by 103.2 nights, or 35 times that in France.
FranceTanzaniaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Tanzania has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts France at 19.2 nights and Tanzania at 208 nights in 2100.

Every year

nights a year · CMIP6

YearFranceTanzania
20143.1106.3
20133.1105.5
20122.9108.4
20112.7109
20103.9103.9
20092.5101.1
20082.4100.3
20072.199.5
20062.6100.4
20052.998.7
20042.7100.4
20032.699.6
20021.898.4
20012.3101.5
20001.894.9
19992.194.2
19981.596.8
19971.693.5
19961.589.6
19951.388.5
19941.585.4
19931.181.2
1992180.1
19911.889.6
19901.991.1
19891.289.1
19881.287.6
19871.388.5
19860.989.4
19850.983
19841.183.1
19831.182.1
1982184.8
19811.188
19801.285
19790.985.5
19781.382.9
19770.984.1
19760.881
19750.980.8
19741.282.2
19730.983.6
19720.981.4
1971180.7
19700.981.8
1969179.5
19680.979.1
19670.877.5
19660.878.1
19650.778
1964173.8
19630.973.1
19621.181.1
19610.982.6
19601.183.9
19591.281.4
1958182.1
1957180.9
19561.280
19551.181.6
19541.381.4
1953180.6
19521.381.4
19511.182.1
19501.280.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearFranceTanzania
20153.61.5–8.6114.895.2–137.4
20164.11.5–9.9108.391.6–125.6
20173.51.3–10.2114.893.6–137.8
20183.91.7–10.8116.497.4–137.1
20194.51.6–9113.495.2–133.2
20204.11.6–10.5119.396.2–143.5
20214.51.3–13.2119.5100.9–147.1
202251.5–12.5124.4105.3–147.4
20234.81.6–12.5122.1102.1–147.8
20245.51.8–11.2126.2100–150.1
20255.81.5–12.1124.6100.9–154
20266.22.1–12.7126.999.1–155.6
20275.41.7–11.2128102.9–147.7
20285.91.7–13.3129.9106.4–152.1
20296.31.9–12.6134.1111–156.5
20305.82.1–11.9129.4106.4–151.1
20315.92–11.8136.4115.9–158.4
20325.92.7–12.9135.1114–166.8
203372.5–13.6135.2110.9–161.9
20347.92.4–17.3134.7112.5–166.3
20356.92.4–14.4140.2114.6–165
20367.32.6–14.6137.8113.3–165.5
20377.32.6–13.3142.9121.5–168.9
20386.53–15.1147.9124.3–169.3
20396.92.6–14.3144.3117.6–171.3
20407.72.3–16140.5117–178
20418.12.6–15.2149.1121.7–175.6
20426.93–16146.3120.5–185.3
20437.92.8–15.6144.6117–173
20447.93.1–16.6147.7121.2–175.8
20459.23.2–19.6150.1125.2–183.4
20468.93.2–17.6161.5128.6–192.2
20479.74–19.2160.2129.7–194.4
20489.13.4–17158.8132.7–193.1
204910.13.7–20.8157.6131.1–196
205010.94.8–18.9159.7127.8–192
20519.23.5–18.4163.2135.5–197.8
2052103.4–21.2161.9136.2–199.1
20538.73.8–18160.6127.5–197.7
20549.74.4–19.2163.2131.5–200.2
20559.93.9–17.2167.4137–208.3
2056114.3–21.8166.4130.8–209.7
205710.94.2–19.8168134.6–208.3
205813.85.1–25.7168.7134.9–210.3
205911.23.3–25174.7144.9–219.5
206012.86.1–22181.7138.1–219.8
206112.64.7–23.2171.8135.5–218.1
206212.36.2–22.4177.5139.9–224
2063125.2–24.9181.4140.1–213.8
2064125.3–21.6185.3140.1–215.2
206512.53.9–30.8183.5141.1–221.8
206611.55.3–22.1181.9146.3–219.3
206718.38.1–33.3178.8138.8–229.2
2068135.4–23.4186144.2–228.4
206915.65.7–25.5183.7141.7–225.3
207013.55.2–29.1180.7140.4–228.2
2071154.4–30.2184.9146.9–235.2
207215.57.4–26191.3155–226.1
207313.96–29.1191.6152.4–235.6
207412.84.3–27.3183.3149.7–231.7
207513.96.3–25.6183.8144.8–233
2076166.1–33.8191.1150.9–233.2
207713.25–29.8191.3152.6–238.2
207813.75.1–33.6189156.6–233.8
207912.95.3–28.4190.5147–237.3
208014.45.4–27.9197.3150.7–241.2
208115.15.8–29.8195.6153.4–237.4
208216.46.1–33.9194.5157.3–237.3
208315.97.9–32193.2151–249.8
208414.16.6–27.7201.1152.2–246.7
208516.57.3–30.2204.2162.3–252.3
208619.55.5–32.4195156–248.7
2087196.9–38196.7160.8–244.5
208818.47.7–35.2208.4154.7–246.9
20891910.6–29.3201.3158.6–248.2
209016.36.8–33.5197.9160.7–253.6
209119.77.6–32.3210161.6–256
209217.36.1–32.7205.8158.3–253.6
2093156.5–29.8207.2161.2–251.9
209418.68.5–32.8207.9161.3–250.6
209519.25.9–38.9214.2166.4–258.5
209619.37.6–35.5205.3159.8–257.4
209717.36.2–36.1206.6158.4–256.8
209818.16.9–36.3209.1161–258.3
209920.37.4–34.6208.5160.1–256
210019.27–36.7208158.6–258.6

Each country on its own

Good to know

  • Nights in a year when the temperature stays above 20 °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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