China vs Nigeria

China vs Nigeria: Tropical nights

Tropical nights in 2014: 41.5 nights in China and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 262.5 nights, or 7.33 times that in China.

nights a year · CMIP6

China vs Nigeria: Tropical nightsTropical nights in 2014: 41.5 nights in China and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 262.5 nights, or 7.33 times that in China.
ChinaNigeriaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Nigeria 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 Nigeria at 332.3 nights in 2100.

Every year

nights a year · CMIP6

YearChinaNigeria
201441.5303.9
201341.7299.5
201240.8304.4
201140.2301.5
201040.5301.4
200939.5297.8
200839.2297.4
200738.7298
200639.5297.2
200539.5295.4
200439.7294.1
200338.5298.4
200238.8295.2
200139.5299.1
200038.6293.9
199938.5290.3
199837.6289.9
199737.1292.5
199636.6290
199535.1289.1
199434.9287.4
199333.2284
199232.3281.6
199135.9289.1
199036.4290.6
198936.1287.2
198835.1288
198734.5285.6
198634289.1
198533.5284.2
198433.4284.4
198331.5281.9
198234.1283.5
198134.2286.4
198034.3282.8
197933.8283
197834.8282.8
197733.3285.9
197632.7281.7
197533.1280.4
197433.3280.7
197333.1284.3
197232.6284.1
197133279.3
197032.4282
196933.4278.7
196832.8279.6
196733.4278.1
196633.4279.4
196532.5279
196432.1276.8
196334.5275.1
196234284.1
196134.6281.9
196034.1285.9
195934282.8
195835281.4
195734.4283.3
195634.6280.8
195534.2280.4
195434.2284.1
195334.3280.4
195234.3280.8
195135.1284.2
195034.9279.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearChinaNigeria
201542.334.8–49.8301.7282.9–317.3
201642.134.4–50301.4280.8–312.5
201743.135.3–51.6302.5284.3–316.3
201842.335.5–49.5302.2286.8–316.5
201943.836.5–51.1300.1281.2–318
202043.736.8–51.1303283.7–318.5
202144.136–52.1305.1287.1–318.4
202244.737.5–52.7305.1286–319.5
202345.737.8–53.4305286.4–318.9
202445.738.1–54310.6295.1–321.5
202546.337.5–54.8307.5292–319.4
202646.237.6–55.5306.9286.1–322.9
202746.138–54.9307.4288–321.7
202846.438.4–54.3310.7293.4–322.6
202946.939.1–55.6311.4293.3–324.4
203047.138.8–55.3310.6294.1–322.5
20314738.8–56312.2295–324.8
203248.339.3–57.4310290–323.5
203347.939.7–56.6313292.9–327
203448.440.5–57.3311.7294.8–325.1
203549.740.8–58.6314.5296.7–327.7
20364940.1–58.2313.5294.1–326.5
20374941.2–57.6315.6297.9–327.1
203850.542.4–59.3316.9301.2–329.6
203949.641.2–59.2315.4299.4–328.2
204050.942.4–60.4315.6297.9–327.4
204151.342.5–61.1316.8300.6–330.2
204251.642–61.5316.3300.3–330.3
204350.742.7–61316298.4–326
204451.942.4–61.9317.9299.5–329.6
204551.542.8–61.1316.6300.5–330.4
20465343.7–62.7317.8302.2–330.7
204753.544.5–62.5319.8301.5–333
204853.144–62.6320.1302.4–331.7
204952.843.8–63.3320.7305.3–331.7
205053.644.4–63.8320.9304–335
205154.345.1–64.8321304.1–334.2
205253.444.6–63.2320.9303.9–333.5
205354.244.2–64.2320.9303.3–334.1
205454.545.3–64.8324.5304.5–338.2
20555545.1–65.8322.2308.4–333.7
205655.245.1–66.6324.8305.8–336.3
205754.844.9–65.7326310.8–337.3
205855.145.8–67.7322.9307.4–334.2
205955.345.1–67.2325.7308.9–339
206057.246.9–68.1323.8307.5–337
206156.546.6–66.3324.4307.1–338.2
206256.846.9–68.5325.7308–339.3
206357.247.2–68.6326.6308.7–337
20645747.1–67.7326.2311–339.8
206557.347.1–67.8327.6313.5–339.4
206657.347.9–68.7328.4311.3–339.6
206757.546.4–68.2326308.4–340.5
206858.748.5–70.5329.3311.2–342.9
206958.548.4–69326.6309.9–338.1
20705847.6–71.7327.4312.6–340.7
207159.347.4–71.6329.1313–341.1
207259.248.1–71.5330.3315.9–342.1
207359.849.1–70.9326.3309.5–341
207459.648.7–71.1326.7311.4–341.4
207558.748.3–71.4328.9314.5–341.8
207660.249–70.9329.6313.4–342
207760.851.1–72.4332.5314.4–343.3
207859.648.8–72.4329.8312.8–342.1
207960.750.1–72.6329.6313.8–340.6
208059.950–72.3331.7314.1–344.8
208160.950–73.2329.3311.6–343.7
20826149.8–73.3329.3313.3–341.4
208361.251.2–73.6330.4315–342.2
208461.749.7–74.6330.5311.9–344.2
208561.250.8–75.2332.7316.6–343.6
208661.648.9–74.5331.9316.3–343.6
208761.650.6–75330.7314.9–342.4
208862.750.5–77.1331.7313.2–342.7
208961.950–75.2331.1318.3–341.9
209062.551.4–73.7332.4312.7–343.9
209163.852–75.7333.3311–345.8
209263.251.2–75.1332.7313.8–345.7
209363.252–75.4334.2318.6–344.9
20946351.1–76.3334.2317.3–345.6
209563.952.8–76.4333.8319.3–346.3
209663.852.2–76.8332.5317.4–346.7
209762.750.7–75.1331.8312.6–344.6
209863.451.2–76.8332.3316–343.7
209963.851.9–76.1333316.9–344.2
210063.351.7–76.2332.3318.5–345

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 Nigeria

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment