North Korea vs Vietnam

North Korea vs Vietnam: Tropical nights

Tropical nights in 2014: 29.3 nights in North Korea and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 213.3 nights, or 8.29 times that in North Korea.

nights a year · CMIP6

North Korea vs Vietnam: Tropical nightsTropical nights in 2014: 29.3 nights in North Korea and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 213.3 nights, or 8.29 times that in North Korea.
North KoreaVietnamCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Vietnam has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts North Korea at 54.8 nights and Vietnam at 282.7 nights in 2100.

Every year

nights a year · CMIP6

YearNorth KoreaVietnam
201429.3242.6
201329243.6
201228242.4
201126.3241.9
201027.3240.9
200926.8240
200825.2238.7
200726.1238
200626.7239.1
200526.6238.3
200426.6241.8
200325.2235.9
200225.4236.3
200125241.3
200024.3237
199925.2236
199823.3236.8
199722.9237.1
199622.5231.4
199519.6229.9
199420.6231.2
199316.4225.3
199216.5221.9
199121.3229.8
199021.9233.1
198921.3229.2
198820.8231.7
198718.2230.3
198618.6230.9
198519228
198417.2230.2
198315.6224.9
198218.9227.5
198119.3229.7
198018.1228.1
197917.8228.9
197820.3227.5
197717.8229
197619.2225.8
197518.7225.8
197418.6225.7
197316.2230.3
197218225.6
197117.1225.5
197017.5226.1
196919.5227
196817.2227.1
196721.2222.9
196618.3226.8
196518.3225.4
196417.8222.6
196321.2224.3
196219.2227.8
196120.5229.4
196019228.5
195919.7226.2
195820.5230.9
195719.5228.4
195621.9228.7
195519.3227.5
195419.5226.3
195319.8228.2
195220.6228.5
195118.5229.2
195021.7228.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearNorth KoreaVietnam
20153020.9–39.9245.8228.2–261.9
201628.319.1–38.6243.7226.1–259.4
201731.722.5–41.4247229.6–260.7
201829.419.8–40.4248.3228.8–263.3
201932.524.9–43.3248.1229.2–262.8
202030.622.9–40.9248.8229.6–262.9
202130.219–44251.1233.1–266.7
202233.225.3–40252.4234.3–266.8
202335.424.8–44.5253.4235.4–266.6
202433.123.4–44.2251.3236.7–264.6
202535.526–46.5252.4234.1–266.2
202634.125.7–46.4252.8232.9–268.5
202734.526–47.8253.2237–268.8
202834.924–44.4254.3237.7–272
202934.726.7–45.2258.1238.5–273.7
203035.225.2–45.6256.4240.9–270.1
203133.926.2–47.1255.9241.2–270.9
203236.125.7–49.1257.4239.1–269.9
203337.225.8–49.9258.3241.7–273.2
203436.328.6–44.6258.8240.7–275.8
203539.127.3–49.2258.6242.5–275.4
203640.426.7–52.8258.3239.1–273.8
203737.126.8–48.8258.7242.4–272.4
203837.826.9–50.2263.4247.6–277.3
203937.328–48.6260.2243.7–275.9
204040.328–54.9260.1242.8–274.8
204140.128.8–54.2263.1245.9–279
20424030.8–51.4263.6246.5–279
204340.929.4–53.8261.4245.5–279.6
204442.429.2–53.6263.2245.2–277.6
204541.130.7–52265.5249.6–281.4
204643.627.7–52.7264.9246.8–278.1
204742.230.2–55.6266.9250.4–282.9
20484029–56268250.5–283.8
204941.629.8–55267.8251.2–284.8
205040.831.5–53.9268251.2–283.5
205142.531–57.3270.9254.3–285.4
205242.129.7–55.5268.3253.3–282.8
205344.231.3–57.8268.5250.1–283.2
205442.332.5–55.4269.1250.8–283.6
205545.433–60.9270249.8–284.2
205643.933.5–56.4271.7254.8–290.1
205744.934.5–59270253–285.7
205845.334.8–59.4270.7252.9–286.5
205945.430.9–58.8273257.6–286.6
206045.130.4–61.9275.7255.6–290.6
206147.135.9–61.5273.5254.6–289.5
206244.934.3–60.2271.4253.1–290.2
206344.433.8–60.5272.9252.7–288.1
206444.332.7–60.5273.8254.4–288.1
206547.835.3–62.1272255.8–286.3
206647.434–59.6271.8254.4–287.3
206749.333.1–61.2270.8252.1–287.6
206847.234.1–63.4275.6256.9–292.4
206947.432.6–58.7276.4258.5–292
20704933.9–66.5274.6257.8–292.8
207148.634.2–65.8276.2255.2–294.1
207248.834.5–64.9277256.8–291.4
207349.633.9–62.9278.5262.7–293.4
207449.635–65.3277.6259.2–295.8
207549.734.6–64276.4258.7–294.4
20765034.9–65.1279.2258.5–296.6
207752.437.4–64.6280264.9–294.7
207848.435.4–66.5278.4258.6–295.5
207949.737–64.5279.3263.4–293.6
208050.139.7–68.2280261.4–296.5
208149.938.1–69.4280.4261.2–297.9
208252.738.5–70.3280.9258.9–296
208351.638.9–68.2278.4261.6–295
208449.836.9–66.8279257.4–293.8
208550.638.2–69281.3265–297.8
208652.737.2–68282.3260.2–297.5
208751.937.3–71.1281.9261.3–300.7
208852.636.7–67.4283.1265.7–301.5
208952.839–67.7280.8261.2–301.6
209053.738.3–65.3280.5264.5–297.6
209153.740–67.5283.3264.3–298.9
209253.438.6–67.8281.1261.5–299.4
209353.537.2–69.1280.5263.4–296.1
209452.936.2–73283264.5–300
209552.741.1–68.9285.5264.5–302.9
209658.337.8–73281.8264.8–299.8
209755.239–69281.5263.3–299
20985440.5–67.9282.5263.9–301.5
209952.537.3–67.2282.7265.1–298
210054.837.2–70.2282.7261–298.2

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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