Afghanistan vs Saudi Arabia

Afghanistan vs Saudi Arabia: Tropical nights

Tropical nights in 2014: 50.8 nights in Afghanistan and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 130.7 nights, or 3.58 times that in Afghanistan.

nights a year · CMIP6

Afghanistan vs Saudi Arabia: Tropical nightsTropical nights in 2014: 50.8 nights in Afghanistan and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 130.7 nights, or 3.58 times that in Afghanistan.
AfghanistanSaudi ArabiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Saudi Arabia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Afghanistan at 72.3 nights and Saudi Arabia at 218.7 nights in 2100.

Every year

nights a year · CMIP6

YearAfghanistanSaudi Arabia
201450.8181.5
201350.6180.4
201250.1182.8
201149.9182.7
201048.2179.2
200948.9177.1
200848.8180.3
200748.3178.9
200648.7177.5
200548.1177.9
200447.9177.6
200347.2177.4
200249.4175.6
200147178.1
200047.9176.4
199947.9173.2
199846.8173.4
199746.8173.8
199645172
199544.4169.2
199444.6170.4
199342.4164.6
199242.5165.9
199145.1169.2
199045.5172.7
198945.5168.9
198844.3166.8
198744.5167.3
198644169.4
198543.5166
198443.4165
198340.5163.5
198243.1164.7
198143.8168.9
198043166.8
197944165.3
197843.1164.8
197741.5165.6
197641.6165.9
197541.4161.2
197441.6162.9
197341.7163.7
197242.1163.7
197140.8160.4
197041.6162.5
196941.3161.3
196840.8162.7
196741.5159.5
196641159.5
196541.1159.5
196441.3159.9
196341.8160.2
196241.8163.2
196142.6163.7
196042.1165.7
195941.8164.4
195843.3164.1
195742.2165.5
195642.3163.6
195541.4162
195442.5161.2
195341.8162.5
195242.9163.4
195141.5161.2
195042.8161.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAfghanistanSaudi Arabia
201552.244.8–59.8184.9169.4–198.7
201652.545–59.7183167.7–195.7
201752.345.8–58.8182.6168.1–196.7
20185244.6–59.3186.8173.1–199.4
201953.345.9–60.7184.1168.8–199.1
202054.347.1–61.2185.3171.8–198.9
202153.746.7–61.4188.6173.6–202.8
202253.146.2–61.6187.6170.7–202
202355.646–62.7188.6173–203.8
20245647.3–64187.1172.9–203.9
202555.947.9–65191.5176–206.1
202654.945.9–64.5191.8177.1–205.5
202755.948.7–64.2191.2176.6–206.8
20285647.4–64191.9175.5–205.1
202954.747.9–62.5192.2176.6–205.7
203056.749.3–63.8193.3178.4–206.3
203158.650.2–65.4194.7179.1–207.6
203257.649.8–65.4192.2175.2–206
203357.749.1–65.5192.6177.5–206.9
203459.148.6–68.2196.7181.6–213
203560.251.4–67.7196.5179.9–211.6
203659.251.7–66.6194.1180–209.7
203759.751.1–70197183.7–209.9
20386051.9–67.2198.4182.3–213.3
203958.651.3–66198184.4–213.6
204059.651.8–68199.2182.1–212.7
20415951.1–68197.7181.4–211.7
204260.752.4–69.9198.3181.2–217
204359.351.2–68.5198.2182.3–215.3
204460.752.6–69.8199.2185.5–213.5
204561.152.7–69.7202187.1–216.8
204661.452.3–71.6204.1185.3–219.4
204762.553.6–71.5204.1187.4–220
204863.354.7–72.3206.1190.7–220
204962.253.1–71.9201.6187.7–216.2
205063.754.4–73.1205.7190.2–219.3
205162.853.2–73.2204.3188.8–222.1
205264.254.7–73.4203.8189.6–218
205363.354.9–71.6203.8186.3–218.8
205464.355.6–73.4207.6188.3–222.3
205564.956.7–73.7207.8190.8–221
205664.155.8–73.4203.7186.6–220.1
205765.555.1–75.6207.5188.8–224.2
205865.256.7–74.7205.9189.2–221.4
205964.556.1–73.6207.3191.6–226.9
206066.855.9–75.6206.9192.7–222.8
206165.857.4–73.2206.5190.4–220.9
206266.856.9–77.4208.1189.4–228.3
206367.359.1–76.6210.4193–227.1
206466.357.6–76.7207.5191.9–223.3
206567.457.8–78.5208.9193.9–226.1
20666859.4–77.9210.3194.9–228
206769.258.5–79.9210.9193.1–228.6
20686858.5–77.7209.8194.6–228.6
206968.560.5–78.3208.9194.5–226.3
20706859.6–78.7211.2191.2–229
207168.458.2–78.9215.1196.3–233.3
207268.558.7–79.3213.6195.3–229.3
207369.960.2–80.9213.7194.1–231.6
207469.260.9–79.3210.5191.9–229.3
207568.459.6–81.4212.1196.6–231.8
207669.457.9–81212.8194.8–230.3
207770.158.3–80.8215.1196.6–233.9
207867.958.5–82.4215.5197.6–230.7
207968.757.9–81.2213.6197–229
208069.459.3–82213.6197.1–233.9
208169.158.1–81.3214.7194.4–231.6
208270.960.1–83214198.9–230.9
208370.960.3–82.8214.2198.5–238
208471.760.2–82.3217.4197.4–233.1
208570.260.1–85.4217.4199.6–237.9
208669.660.3–82.9217197.4–237.4
208771.362.8–84.1217.3199.7–238.7
208871.660.7–85.2216.1198.2–243.1
208972.361.4–83.9217.6199.5–239
20907160.2–83.4217.3198.5–239.2
209172.261.1–83.3218.5202.8–238.4
209272.261.6–83.3218.5198.5–241.6
209372.562.6–83.5216.6197.8–236.3
209472.962.2–85.3218.8202–236.9
209573.761.1–84.3219.4204.2–237.4
209673.362.9–85.7219.9197.7–239.6
209770.960.6–84.3216.7196.8–239.7
209873.562.2–87.3219.7199.6–241.3
209972.761–84.1216.8200.8–236.8
210072.360.5–87.4218.7202.3–241

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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