China vs Malaysia

China vs Malaysia: Tropical nights

Tropical nights in 2014: 41.5 nights in China and 323 nights in Malaysia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Malaysia, by 281.6 nights, or 7.79 times that in China.

nights a year · CMIP6

China vs Malaysia: Tropical nightsTropical nights in 2014: 41.5 nights in China and 323 nights in Malaysia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Malaysia, by 281.6 nights, or 7.79 times that in China.
ChinaMalaysiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Malaysia 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 Malaysia at 354.8 nights in 2100.

Every year

nights a year · CMIP6

YearChinaMalaysia
201441.5323
201341.7323.9
201240.8323.3
201140.2320.9
201040.5320.9
200939.5320.3
200839.2317.9
200738.7317.8
200639.5317.3
200539.5318.4
200439.7319.4
200338.5316
200238.8316
200139.5316.5
200038.6314.5
199938.5312.9
199837.6312.5
199737.1310.6
199636.6307.1
199535.1307.3
199434.9304.1
199333.2298.2
199232.3293.6
199135.9308.9
199036.4310.4
198936.1306.9
198835.1306.8
198734.5306
198634305.5
198533.5301.7
198433.4302.1
198331.5297.2
198234.1302.6
198134.2303.7
198034.3303.3
197933.8302.4
197834.8301
197733.3301.3
197632.7298.9
197533.1297.7
197433.3298.1
197333.1299.1
197232.6297
197133298.3
197032.4296
196933.4297.4
196832.8295.2
196733.4293.1
196633.4296.2
196532.5293.1
196432.1291.3
196334.5291.6
196234299.1
196134.6299.5
196034.1300.1
195934299.9
195835301.7
195734.4299
195634.6298.1
195534.2299.3
195434.2296.8
195334.3298.8
195234.3299.4
195135.1299.1
195034.9300
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearChinaMalaysia
201542.334.8–49.8324.4308.5–333.7
201642.134.4–50323.8310.5–334.9
201743.135.3–51.6325.6309.9–334.4
201842.335.5–49.5325.7310.7–335.4
201943.836.5–51.1326.4311.9–335.3
202043.736.8–51.1328313.4–337.7
202144.136–52.1328.8314–336.3
202244.737.5–52.7329315.3–339
202345.737.8–53.4330.1316–340.5
202445.738.1–54332319.6–340.7
202546.337.5–54.8330.3317.7–342
202646.237.6–55.5330.2315.1–342.9
202746.138–54.9331315.2–342.4
202846.438.4–54.3332.4319–341.9
202946.939.1–55.6334.4322.5–344.9
203047.138.8–55.3333.4319.2–342.6
20314738.8–56333.8317.1–342.5
203248.339.3–57.4336.5323.3–345.9
203347.939.7–56.6336.4322.5–343.3
203448.440.5–57.3334.8322.7–344.3
203549.740.8–58.6334.7323.3–347.9
20364940.1–58.2336.9320.7–346.2
20374941.2–57.6338.3325.4–345.3
203850.542.4–59.3339.7326.9–347.4
203949.641.2–59.2340326–347.4
204050.942.4–60.4338.6325.1–349
204151.342.5–61.1340.3326.3–348.1
204251.642–61.5339.9326.9–349.6
204350.742.7–61338.3324.3–348.3
204451.942.4–61.9340.6326.3–350.4
204551.542.8–61.1340.9327.4–349.8
20465343.7–62.7343.3327.6–351.4
204753.544.5–62.5343325.3–352.9
204853.144–62.6342.6329–352.5
204952.843.8–63.3343.8331.1–354.1
205053.644.4–63.8342.7328.1–353.5
205154.345.1–64.8344.5330.7–354.3
205253.444.6–63.2345.1330.3–355
205354.244.2–64.2344.2331–353.5
205454.545.3–64.8345330.1–354.6
20555545.1–65.8346.1332–354.3
205655.245.1–66.6346.5332.2–356.6
205754.844.9–65.7347.9332.3–355.4
205855.145.8–67.7347333.5–355.6
205955.345.1–67.2346.9333.4–356.2
206057.246.9–68.1349.7334.9–357.3
206156.546.6–66.3348.4334.1–356.1
206256.846.9–68.5348.4331.8–357.7
206357.247.2–68.6348.7333.2–357.7
20645747.1–67.7349.1333.8–357.5
206557.347.1–67.8348.6334.6–356.8
206657.347.9–68.7349.3335–357.5
206757.546.4–68.2349.1334–356.6
206858.748.5–70.5350334.6–358.7
206958.548.4–69349.5334.2–357.9
20705847.6–71.7349.2336.2–357.7
207159.347.4–71.6350.9336.1–358.6
207259.248.1–71.5351337.2–357.9
207359.849.1–70.9351.1338.7–359.9
207459.648.7–71.1350337.8–359.4
207558.748.3–71.4350.5335.4–358.1
207660.249–70.9351.6337.5–359.7
207760.851.1–72.4352.4336.4–359.9
207859.648.8–72.4351.3338.9–358.8
207960.750.1–72.6351.8337.9–359.7
208059.950–72.3352.4338.8–360.7
208160.950–73.2352.2337.3–359.7
20826149.8–73.3352.7336.9–358.9
208361.251.2–73.6352.5339.6–360.4
208461.749.7–74.6353.5337.9–360.4
208561.250.8–75.2352.9340.2–360.2
208661.648.9–74.5352.8339.9–360
208761.650.6–75352.8338.4–361
208862.750.5–77.1354340–360.9
208961.950–75.2353.7339.7–359.9
209062.551.4–73.7353.3340.3–360.6
209163.852–75.7354.7338.9–361
209263.251.2–75.1355.3340.4–361.7
209363.252–75.4353.5339.3–362
20946351.1–76.3355.4341.2–360.4
209563.952.8–76.4355339.4–360.6
209663.852.2–76.8353.6339.6–363.1
209762.750.7–75.1354.3339.5–360.6
209863.451.2–76.8354.8340.2–360.7
209963.851.9–76.1353.7340–361.8
210063.351.7–76.2354.8340.4–360.8

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

China vs Malaysia

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment