Afghanistan vs Egypt

Afghanistan vs Egypt: Tropical nights

Tropical nights in 2014: 50.8 nights in Afghanistan and 145 nights in Egypt, in the CMIP6 climate models’ median run. In 2014 the value was higher in Egypt, by 94.2 nights, or 2.86 times that in Afghanistan.

nights a year · CMIP6

Afghanistan vs Egypt: Tropical nightsTropical nights in 2014: 50.8 nights in Afghanistan and 145 nights in Egypt, in the CMIP6 climate models’ median run. In 2014 the value was higher in Egypt, by 94.2 nights, or 2.86 times that in Afghanistan.
AfghanistanEgyptCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Egypt 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 Egypt at 183.4 nights in 2100.

Every year

nights a year · CMIP6

YearAfghanistanEgypt
201450.8145
201350.6145
201250.1145.1
201149.9144.7
201048.2143.5
200948.9140.2
200848.8142.6
200748.3140.5
200648.7139.6
200548.1140
200447.9141.3
200347.2141
200249.4137.7
200147139
200047.9134.8
199947.9135.5
199846.8133
199746.8134
199645132.1
199544.4130.2
199444.6129.8
199342.4123.6
199242.5126.1
199145.1129.7
199045.5129.7
198945.5126
198844.3124.3
198744.5125.8
198644128.9
198543.5125.7
198443.4119.4
198340.5119.4
198243.1120.7
198143.8122.6
198043124.9
197944119.2
197843.1122.6
197741.5121.3
197641.6123.2
197541.4121.9
197441.6123.1
197341.7123.5
197242.1120.1
197140.8120.7
197041.6119.7
196941.3118.3
196840.8119.4
196741.5116.2
196641116.1
196541.1112.9
196441.3116.4
196341.8120.2
196241.8118.9
196142.6118.7
196042.1123.6
195941.8123.2
195843.3120.7
195742.2122.4
195642.3122.7
195541.4119.4
195442.5120.8
195341.8121.3
195242.9120.7
195141.5121.2
195042.8118.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAfghanistanEgypt
201552.244.8–59.8149.6131.4–164.2
201652.545–59.7147.7133.5–160.2
201752.345.8–58.8150.8134.8–163.2
20185244.6–59.3147.4133.4–165.6
201953.345.9–60.7149.6132.7–164
202054.347.1–61.2150.8136.4–164.7
202153.746.7–61.4152.1137.8–168.1
202253.146.2–61.6154138.1–170.6
202355.646–62.7154.4139–168.4
20245647.3–64155.8141.7–168.5
202555.947.9–65154.5139.6–168.1
202654.945.9–64.5155.1144.5–165.9
202755.948.7–64.2154.2139.5–166.3
20285647.4–64154.5141.8–168.6
202954.747.9–62.5156.3139.9–169.5
203056.749.3–63.8156.3143.1–169.1
203158.650.2–65.4155.5141.5–171.2
203257.649.8–65.4158.3144.6–170.4
203357.749.1–65.5159.9143.8–172.9
203459.148.6–68.2159.8144.9–173.2
203560.251.4–67.7163.5146.6–175.8
203659.251.7–66.6156.2143.7–170.6
203759.751.1–70158.8142.9–173.8
20386051.9–67.2164.9146.1–177.8
203958.651.3–66161.8146.1–180.1
204059.651.8–68161.6147.9–176.5
20415951.1–68163.7149.4–177.3
204260.752.4–69.9166.5149.7–180.6
204359.351.2–68.5163.6150.3–176.8
204460.752.6–69.8162.2147–178
204561.152.7–69.7167.2152.5–181
204661.452.3–71.6166149–181.1
204762.553.6–71.5165.9151.8–181.5
204863.354.7–72.3167.2154.5–180.1
204962.253.1–71.9165.3148.7–177.9
205063.754.4–73.1170152.8–183
205162.853.2–73.2165.6152.7–179.5
205264.254.7–73.4167.3156–180.2
205363.354.9–71.6170.1153.6–183.8
205464.355.6–73.4169153.3–183
205564.956.7–73.7170.5153.5–183.3
205664.155.8–73.4168.3151.2–181.4
205765.555.1–75.6166.8150.7–185.3
205865.256.7–74.7171.8154.2–188.2
205964.556.1–73.6173.3157.8–188.6
206066.855.9–75.6170.5154.8–189.3
206165.857.4–73.2170.3155.1–184.6
206266.856.9–77.4172.1155.2–185.7
206367.359.1–76.6169.7152.8–182.6
206466.357.6–76.7172.3155.9–187.2
206567.457.8–78.5173.3159.7–189.9
20666859.4–77.9170155–187.7
206769.258.5–79.9176.2161.5–190
20686858.5–77.7174.6157.3–193.1
206968.560.5–78.3175.8158.8–191.7
20706859.6–78.7173.3158.3–191.7
207168.458.2–78.9176.8158.1–194.7
207268.558.7–79.3177.6160.8–192.1
207369.960.2–80.9176159.2–189.3
207469.260.9–79.3171.9156.5–194.1
207568.459.6–81.4171.8157–191.9
207669.457.9–81177161–194.6
207770.158.3–80.8179.7157–194.1
207867.958.5–82.4178.4161–195
207968.757.9–81.2178.2160.2–193.7
208069.459.3–82178.5163–193.3
208169.158.1–81.3177.2160–192.8
208270.960.1–83178.8164.5–193.3
208370.960.3–82.8180.6164.4–195.7
208471.760.2–82.3181.4162.4–197.8
208570.260.1–85.4178.8163–196.7
208669.660.3–82.9181.9166.6–198.8
208771.362.8–84.1178156.4–194.3
208871.660.7–85.2177.8163.5–196
208972.361.4–83.9180.9163.5–198.9
20907160.2–83.4179.9162.4–197.8
209172.261.1–83.3184.2165.1–198.9
209272.261.6–83.3180.3162.9–196.3
209372.562.6–83.5181.1166.1–198.2
209472.962.2–85.3185.4168–198.9
209573.761.1–84.3181.9165.5–197.3
209673.362.9–85.7183.1163.5–200.3
209770.960.6–84.3181.5165.4–198.9
209873.562.2–87.3181.7162.1–198.8
209972.761–84.1179.9164.2–197.8
210072.360.5–87.4183.4162.9–198.1

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

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