China vs Colombia

China vs Colombia: Tropical nights

Tropical nights in 2014: 41.5 nights in China and 279.9 nights in Colombia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 238.5 nights, or 6.75 times that in China.

nights a year · CMIP6

China vs Colombia: Tropical nightsTropical nights in 2014: 41.5 nights in China and 279.9 nights in Colombia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 238.5 nights, or 6.75 times that in China.
ChinaColombiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Colombia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts China at 63.3 nights and Colombia at 297.4 nights in 2100.

Every year

nights a year · CMIP6

YearChinaColombia
201441.5279.9
201341.7279.8
201240.8280.7
201140.2280
201040.5279.1
200939.5279.3
200839.2278.4
200738.7277.3
200639.5277.5
200539.5277.7
200439.7278.2
200338.5277.5
200238.8277.3
200139.5278
200038.6276.2
199938.5274.6
199837.6275.2
199737.1274.4
199636.6271.2
199535.1271.3
199434.9270.4
199333.2268
199232.3264.7
199135.9273.9
199036.4275.6
198936.1271.9
198835.1270.3
198734.5271.8
198634271.4
198533.5268.4
198433.4268.2
198331.5265.1
198234.1269.2
198134.2272.1
198034.3270.2
197933.8269.3
197834.8268.3
197733.3269.6
197632.7266.1
197533.1261.6
197433.3266.6
197333.1269.9
197232.6266.6
197133265.7
197032.4265.4
196933.4266
196832.8264.6
196733.4261.7
196633.4263.7
196532.5263.2
196432.1260.3
196334.5254.8
196234266.7
196134.6267
196034.1268.6
195934265.5
195835268
195734.4267.4
195634.6263.3
195534.2267.7
195434.2267.2
195334.3267.9
195234.3268.1
195135.1267.2
195034.9266.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearChinaColombia
201542.334.8–49.8280.4265.9–286.4
201642.134.4–50279.9267.9–285.6
201743.135.3–51.6281.7270.6–286.3
201842.335.5–49.5281.5271.8–286.3
201943.836.5–51.1281.1269.5–286.9
202043.736.8–51.1282.1270.6–287.9
202144.136–52.1283.2273.9–287.8
202244.737.5–52.7283.7273.6–288.5
202345.737.8–53.4282.6274.2–288.8
202445.738.1–54284.7274.7–289.8
202546.337.5–54.8283.5273.3–289.7
202646.237.6–55.5283.4272.7–289.7
202746.138–54.9283.9273.4–289.2
202846.438.4–54.3285275.1–290.7
202946.939.1–55.6285.8276–290.3
203047.138.8–55.3284.2273.4–289.8
20314738.8–56285.8274.8–291.2
203248.339.3–57.4286.7278.3–292.6
203347.939.7–56.6285.7274.7–290.3
203448.440.5–57.3285275.8–292.8
203549.740.8–58.6285.9277.3–292
20364940.1–58.2286276.9–291.6
20374941.2–57.6287.5279.3–291.9
203850.542.4–59.3288279.7–292.4
203949.641.2–59.2287.6278.8–292.7
204050.942.4–60.4287.6279.3–294.5
204151.342.5–61.1288.2279.9–292.7
204251.642–61.5288.2278.3–295
204350.742.7–61287.7277.7–293.4
204451.942.4–61.9287.8278.5–295.1
204551.542.8–61.1288.8280.5–293.9
20465343.7–62.7290.4281–295.5
204753.544.5–62.5289.9280.6–294.6
204853.144–62.6290.7281.4–296.8
204952.843.8–63.3290.9282–295.3
205053.644.4–63.8290.1280.8–296
205154.345.1–64.8290.6280.9–295.7
205253.444.6–63.2290.9281.9–296.7
205354.244.2–64.2290.5280.8–296.3
205454.545.3–64.8290.8281.3–297.2
20555545.1–65.8291.1282.6–298
205655.245.1–66.6291.5281.5–298.6
205754.844.9–65.7291.5281.2–297.3
205855.145.8–67.7291.8281.7–298.9
205955.345.1–67.2292.8282–299.2
206057.246.9–68.1293.2283–300.1
206156.546.6–66.3292.2281.9–298.7
206256.846.9–68.5292.6282.4–299.7
206357.247.2–68.6293.6282.3–298.6
20645747.1–67.7292.7282.9–299.1
206557.347.1–67.8293.8283.6–299.4
206657.347.9–68.7293.1283.4–299.8
206757.546.4–68.2292.9281.8–299.6
206858.748.5–70.5294.2282.5–300.6
206958.548.4–69292.9282.4–300
20705847.6–71.7292.9282.8–300.8
207159.347.4–71.6294.2282.8–301.5
207259.248.1–71.5294.9285.1–301.9
207359.849.1–70.9294.9285.5–302.2
207459.648.7–71.1293.9283.3–300.3
207558.748.3–71.4294.1283.2–300.6
207660.249–70.9294.9284.6–302
207760.851.1–72.4295.3284.3–301.9
207859.648.8–72.4294.4285–302
207960.750.1–72.6294.8283.7–301.8
208059.950–72.3295.1283.4–302.8
208160.950–73.2295.1284.8–302.6
20826149.8–73.3295.1284.9–301.3
208361.251.2–73.6295.4284.5–304.6
208461.749.7–74.6296285.1–304.4
208561.250.8–75.2296.6285–305
208661.648.9–74.5295.6284.8–303.6
208761.650.6–75295.3284.1–303.4
208862.750.5–77.1295.9284.5–305.5
208961.950–75.2295.6285–304.5
209062.551.4–73.7295.7285.8–304.6
209163.852–75.7297285–304.9
209263.251.2–75.1296.8286–305.7
209363.252–75.4296.3285.6–305.3
20946351.1–76.3296.4285.8–305
209563.952.8–76.4297.9285.6–304.9
209663.852.2–76.8296285.9–307.5
209762.750.7–75.1296.5284.8–303.4
209863.451.2–76.8296.6286–307.3
209963.851.9–76.1297284.6–305.4
210063.351.7–76.2297.4286.5–305.2

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

China vs Colombia

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment