North Korea vs Papua New Guinea

North Korea vs Papua New Guinea: Tropical nights

Tropical nights in 2014: 29.3 nights in North Korea and 250 nights in Papua New Guinea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Papua New Guinea, by 220.7 nights, or 8.54 times that in North Korea.

nights a year · CMIP6

North Korea vs Papua New Guinea: Tropical nightsTropical nights in 2014: 29.3 nights in North Korea and 250 nights in Papua New Guinea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Papua New Guinea, by 220.7 nights, or 8.54 times that in North Korea.
North KoreaPapua New GuineaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Papua New Guinea 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 Papua New Guinea at 276.3 nights in 2100.

Every year

nights a year · CMIP6

YearNorth KoreaPapua New Guinea
201429.3250
201329250.3
201228248.7
201126.3247
201027.3249.1
200926.8247.8
200825.2246.9
200726.1246.6
200626.7247
200526.6247.2
200426.6247
200325.2245.9
200225.4245.6
200125246.5
200024.3245.9
199925.2244.8
199823.3243.9
199722.9243
199622.5241.9
199519.6241.6
199420.6239.6
199316.4236.8
199216.5235
199121.3242.1
199021.9242.7
198921.3240.3
198820.8241.3
198718.2240.8
198618.6241.1
198519238.2
198417.2238.3
198315.6236
198218.9239.7
198119.3239.4
198018.1239.4
197917.8238.9
197820.3237.6
197717.8238.1
197619.2235.2
197518.7237.6
197418.6236.9
197316.2238.1
197218236.3
197117.1236.9
197017.5234.7
196919.5235.9
196817.2235.4
196721.2234.7
196618.3235.3
196518.3233.5
196417.8232
196321.2232.3
196219.2237.1
196120.5237.7
196019238.1
195919.7237.5
195820.5238.5
195719.5236.1
195621.9236.9
195519.3237.6
195419.5235.9
195319.8236.5
195220.6237.1
195118.5237.2
195021.7236.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearNorth KoreaPapua New Guinea
20153020.9–39.9251.6240.9–257.9
201628.319.1–38.6250.8241.6–258.7
201731.722.5–41.4251.6240–258.6
201829.419.8–40.4252240.2–258.8
201932.524.9–43.3252.2242–259.7
202030.622.9–40.9253.8242.9–261.3
202130.219–44253242.7–259.2
202233.225.3–40254.2242.9–261.3
202335.424.8–44.5254243.4–262
202433.123.4–44.2256246.5–263.4
202535.526–46.5254.9244.4–263.6
202634.125.7–46.4255.8245–263.7
202734.526–47.8255.6245.6–262.9
202834.924–44.4256.2246.5–264.2
202934.726.7–45.2257.9248.1–265.4
203035.225.2–45.6256.8246.2–264.3
203133.926.2–47.1256.4246–263.8
203236.125.7–49.1258.6247.9–267.7
203337.225.8–49.9259.5248.8–266.1
203436.328.6–44.6257.9248.2–265.2
203539.127.3–49.2259.4250–270
203640.426.7–52.8259.6249.8–268.4
203737.126.8–48.8259.4249.3–267.6
203837.826.9–50.2261.1251.9–268.7
203937.328–48.6261.6251.5–268.3
204040.328–54.9260.6250–271.3
204140.128.8–54.2262.1250.9–271.1
20424030.8–51.4261.7251.3–271.2
204340.929.4–53.8261.4250.7–270.1
204442.429.2–53.6263.5253.3–271.6
204541.130.7–52263.7252.3–272.6
204643.627.7–52.7264251.2–272.4
204742.230.2–55.6264.7253.1–274.1
20484029–56263.6253.4–273.3
204941.629.8–55265.6254.3–275.8
205040.831.5–53.9266.3254.6–275.6
205142.531–57.3265254–276.5
205242.129.7–55.5266.5255.1–275.9
205344.231.3–57.8265.5254.3–277.2
205442.332.5–55.4265.6255–277.3
205545.433–60.9266.9255.8–278.4
205643.933.5–56.4267.6256.1–278.5
205744.934.5–59267.1254.9–278
205845.334.8–59.4267.4255.2–278.8
205945.430.9–58.8267.5255.8–278.8
206045.130.4–61.9270.4257.3–280.1
206147.135.9–61.5268.7257–278.3
206244.934.3–60.2268.3254.5–281.2
206344.433.8–60.5268.6256.4–281.7
206444.332.7–60.5269.5257–281.3
206547.835.3–62.1269.1257.2–280.5
206647.434–59.6270258.8–282.1
206749.333.1–61.2270256.7–281.9
206847.234.1–63.4271.1256.2–283.4
206947.432.6–58.7271.8258.6–282.9
20704933.9–66.5270.7257–281.1
207148.634.2–65.8273.3258.5–284.9
207248.834.5–64.9271.3257.7–282.6
207349.633.9–62.9272.6259.4–284
207449.635–65.3272.8258.8–285.6
207549.734.6–64273.1258.5–284.4
20765034.9–65.1272.6258.9–282.9
207752.437.4–64.6273.4259.5–285.8
207848.435.4–66.5273.5260.4–284.1
207949.737–64.5273.1259.6–285.6
208050.139.7–68.2274.1260.6–286.6
208149.938.1–69.4274.1260.6–286.9
208252.738.5–70.3274.2259.8–283.7
208351.638.9–68.2275.7261.4–286.9
208449.836.9–66.8275.1261.3–286.7
208550.638.2–69275260.2–287.9
208652.737.2–68275.4262.7–287.1
208751.937.3–71.1273.4261–287.5
208852.636.7–67.4276.5262.7–287
208952.839–67.7275.4261.5–288.4
209053.738.3–65.3274.9261.9–288.4
209153.740–67.5276.8260.9–289.4
209253.438.6–67.8276.8262.1–288.4
209353.537.2–69.1275.4262.9–290.1
209452.936.2–73276.9262.2–288.1
209552.741.1–68.9277261.9–287.5
209658.337.8–73276261.9–293
209755.239–69274.9261.5–288.8
20985440.5–67.9276.6261.6–289.1
209952.537.3–67.2276.9261.8–290.6
210054.837.2–70.2276.3261.4–287.1

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

North Korea vs Papua New Guinea

Health

People

Education

Politics

Conflict

Military

Climate

Technology and environment