France vs Myanmar (Burma)

France vs Myanmar (Burma): Tropical nights

Tropical nights in 2014: 3.1 nights in France and 201.9 nights in Myanmar (Burma), in the CMIP6 climate models’ median run. In 2014 the value was higher in Myanmar (Burma), by 198.8 nights, or 66 times that in France.

nights a year · CMIP6

France vs Myanmar (Burma): Tropical nightsTropical nights in 2014: 3.1 nights in France and 201.9 nights in Myanmar (Burma), in the CMIP6 climate models’ median run. In 2014 the value was higher in Myanmar (Burma), by 198.8 nights, or 66 times that in France.
FranceMyanmar (Burma)CMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Myanmar (Burma) 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 Myanmar (Burma) at 244.5 nights in 2100.

Every year

nights a year · CMIP6

YearFranceMyanmar (Burma)
20143.1201.9
20133.1203.1
20122.9201.1
20112.7200.9
20103.9202.1
20092.5199
20082.4198.1
20072.1196.8
20062.6198.2
20052.9196.7
20042.7200.3
20032.6195.3
20021.8196.6
20012.3199
20001.8197.2
19992.1196.4
19981.5194.7
19971.6194.4
19961.5191.4
19951.3189.9
19941.5188.8
19931.1185
19921180.5
19911.8191.7
19901.9191.5
19891.2190.3
19881.2190.7
19871.3190.8
19860.9189.7
19850.9187.4
19841.1189.1
19831.1182.3
19821186.7
19811.1188.4
19801.2189
19790.9189.8
19781.3186.8
19770.9187.4
19760.8185.8
19750.9183.6
19741.2185.5
19730.9187.5
19720.9184.8
19711185.2
19700.9184.9
19691184.3
19680.9183.7
19670.8182.3
19660.8186.2
19650.7182.9
19641180.6
19630.9183.1
19621.1187.3
19610.9188.7
19601.1187.1
19591.2186.5
19581187.1
19571186.2
19561.2187.9
19551.1185.9
19541.3185.7
19531185
19521.3186.1
19511.1187.1
19501.2186.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearFranceMyanmar (Burma)
20153.61.5–8.6205.2186.4–218.9
20164.11.5–9.9202.8186.2–218.8
20173.51.3–10.2203.4187.3–218.3
20183.91.7–10.8205.5190.9–219.9
20194.51.6–9205.2186.7–222.2
20204.11.6–10.5208.2188.5–223.5
20214.51.3–13.2208.9191.2–224.1
202251.5–12.5209.9192.7–224.9
20234.81.6–12.5210.6195.4–226.3
20245.51.8–11.2210.4193.8–226.6
20255.81.5–12.1209.9190.3–225.2
20266.22.1–12.7212.2194.3–229.2
20275.41.7–11.2212195.6–228.6
20285.91.7–13.3213195.7–227.2
20296.31.9–12.6215.3193.9–231.9
20305.82.1–11.9212.2194.9–228
20315.92–11.8214.3197.2–230.8
20325.92.7–12.9215199.3–229.6
203372.5–13.6215.5198.5–230.1
20347.92.4–17.3214.9198.4–233.5
20356.92.4–14.4214.9199.2–236.8
20367.32.6–14.6216198.7–234.5
20377.32.6–13.3217.2199.6–233.5
20386.53–15.1220.7204.8–235.1
20396.92.6–14.3219.7202.4–234.3
20407.72.3–16219.2202.9–235
20418.12.6–15.2220.7203.9–237.7
20426.93–16221.8206.1–237.2
20437.92.8–15.6219.5201.2–237.1
20447.93.1–16.6221.4201.6–239.6
20459.23.2–19.6223.7204.8–241.5
20468.93.2–17.6223.2203.2–240.2
20479.74–19.2224.3204.8–241.1
20489.13.4–17226.4207.7–243.8
204910.13.7–20.8226.5205.6–242.8
205010.94.8–18.9227209.3–243.5
20519.23.5–18.4229.6212.4–246.4
2052103.4–21.2227.2208.6–244.2
20538.73.8–18227.9208.7–247.7
20549.74.4–19.2227.9209.6–244.8
20559.93.9–17.2229.1209.8–247.5
2056114.3–21.8231.8210.4–252.1
205710.94.2–19.8228.6208–249
205813.85.1–25.7228.9208.8–249
205911.23.3–25230.7212.1–247.5
206012.86.1–22234.7211.1–251.5
206112.64.7–23.2231.9213–247.7
206212.36.2–22.4233.6209.9–252.8
2063125.2–24.9233215.4–250.5
2064125.3–21.6233.2214.4–251.3
206512.53.9–30.8230.7210.4–250.7
206611.55.3–22.1233.5214.3–251.2
206718.38.1–33.3233211.5–253.3
2068135.4–23.4233.1212.4–253.7
206915.65.7–25.5236.1214.6–253.4
207013.55.2–29.1235.9218.1–253.4
2071154.4–30.2235.1213.5–259.6
207215.57.4–26234.6216.1–252.6
207313.96–29.1237.2219.3–257.2
207412.84.3–27.3236.4215.7–254.5
207513.96.3–25.6236.7214.4–255.9
2076166.1–33.8237.7216–257
207713.25–29.8237.5219–258.7
207813.75.1–33.6238.5217.3–257.8
207912.95.3–28.4238.5219.2–257.2
208014.45.4–27.9240.5218.8–258.3
208115.15.8–29.8240219.7–260.9
208216.46.1–33.9239.4217.1–258.8
208315.97.9–32239.1220.5–259.2
208414.16.6–27.7241.3218.9–260.6
208516.57.3–30.2241.7218.8–260.7
208619.55.5–32.4241.7217.4–262.7
2087196.9–38241.4220.5–260.9
208818.47.7–35.2241.8222.3–261.5
20891910.6–29.3240.7221.2–262.6
209016.36.8–33.5241.3224.4–260.9
209119.77.6–32.3242.6220.3–262.5
209217.36.1–32.7241.9221.6–263.3
2093156.5–29.8242.1220.2–260
209418.68.5–32.8242.5222.5–261.9
209519.25.9–38.9244.9224–264.4
209619.37.6–35.5243.9221.1–266.5
209717.36.2–36.1243.6219.6–264.2
209818.16.9–36.3243.6222.5–263.9
209920.37.4–34.6244.7221.8–263.5
210019.27–36.7244.5223.2–261.8

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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