Afghanistan vs Iraq

Afghanistan vs Iraq: Tropical nights

Tropical nights in 2014: 50.8 nights in Afghanistan and 151.4 nights in Iraq, in the CMIP6 climate models’ median run. In 2014 the value was higher in Iraq, by 100.6 nights, or 2.98 times that in Afghanistan.

nights a year · CMIP6

Afghanistan vs Iraq: Tropical nightsTropical nights in 2014: 50.8 nights in Afghanistan and 151.4 nights in Iraq, in the CMIP6 climate models’ median run. In 2014 the value was higher in Iraq, by 100.6 nights, or 2.98 times that in Afghanistan.
AfghanistanIraqCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Iraq 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 Iraq at 178.7 nights in 2100.

Every year

nights a year · CMIP6

YearAfghanistanIraq
201450.8151.4
201350.6151.3
201250.1150.9
201149.9150.7
201048.2147.5
200948.9146.1
200848.8149.9
200748.3148
200648.7146.9
200548.1147.7
200447.9147.3
200347.2145.4
200249.4147.2
200147146.6
200047.9148
199947.9143.6
199846.8142.6
199746.8144.5
199645143.7
199544.4139.1
199444.6141.6
199342.4136.6
199242.5136.6
199145.1138.1
199045.5142.7
198945.5141.6
198844.3138.2
198744.5138.9
198644140.9
198543.5137.6
198443.4135.5
198340.5135
198243.1135.8
198143.8140.3
198043139.4
197944136.4
197843.1136.8
197741.5137.7
197641.6138.2
197541.4134.1
197441.6135.8
197341.7136.1
197242.1135.8
197140.8133.7
197041.6135.5
196941.3135.5
196840.8134.3
196741.5133.6
196641132.9
196541.1132.9
196441.3134.2
196341.8135.1
196241.8137.7
196142.6138.2
196042.1136.7
195941.8139
195843.3138.4
195742.2137.3
195642.3136.6
195541.4134.7
195442.5136.1
195341.8137
195242.9136.7
195141.5137.3
195042.8134.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAfghanistanIraq
201552.244.8–59.8154.9143.1–165.8
201652.545–59.7152.1139.6–164.5
201752.345.8–58.8154.1139.5–165.6
20185244.6–59.3153.8142.3–165
201953.345.9–60.7153.3141–166.9
202054.347.1–61.2155.1144.8–166
202153.746.7–61.4155.8144.5–166.5
202253.146.2–61.6155.9144.3–168
202355.646–62.7157.1146.3–168.5
20245647.3–64155.9145.1–167.7
202555.947.9–65156.8145.6–168.8
202654.945.9–64.5158.1147.1–168.2
202755.948.7–64.2159.5148.6–169.8
20285647.4–64157.5145.7–169.4
202954.747.9–62.5158.5149.2–167.6
203056.749.3–63.8157.9147.4–169.7
203158.650.2–65.4160.1146.9–171.3
203257.649.8–65.4160146.9–170.6
203357.749.1–65.5161.6151.5–172
203459.148.6–68.2161148.9–173.9
203560.251.4–67.7161.8150.3–173.6
203659.251.7–66.6158.5146.3–170.6
203759.751.1–70161.2148.6–173.5
20386051.9–67.2165.1152.5–174.7
203958.651.3–66164.6152.2–177.7
204059.651.8–68165153.4–175.3
20415951.1–68163.3151.3–172.5
204260.752.4–69.9165.3153–176.8
204359.351.2–68.5164.6151.4–175.3
204460.752.6–69.8164.6155.1–175.2
204561.152.7–69.7167.8152.2–180.1
204661.452.3–71.6167.6155–178.8
204762.553.6–71.5167.1156.3–177.3
204863.354.7–72.3165.8155.5–179.1
204962.253.1–71.9165.6155.1–177.4
205063.754.4–73.1170.8156.9–181.9
205162.853.2–73.2168.8155.6–181.1
205264.254.7–73.4167.8154.5–180.4
205363.354.9–71.6168.5155.9–181.1
205464.355.6–73.4170.4155.7–181.4
205564.956.7–73.7171.2158.7–181.8
205664.155.8–73.4168152.6–178.6
205765.555.1–75.6169.2153.3–186.3
205865.256.7–74.7170.7157.1–185.5
205964.556.1–73.6169.8157–187.5
206066.855.9–75.6169.5157.6–185.7
206165.857.4–73.2170.2157.8–180.7
206266.856.9–77.4171.2158.1–183
206367.359.1–76.6170.6156.5–183.6
206466.357.6–76.7170159.8–182.8
206567.457.8–78.5171.7160.9–185.3
20666859.4–77.9172.4158.6–184.5
206769.258.5–79.9173.9161.8–187.6
20686858.5–77.7172.6159.5–185
206968.560.5–78.3174.3160.8–186.2
20706859.6–78.7175.4162.3–186.7
207168.458.2–78.9176.1161.2–188.9
207268.558.7–79.3174.1161.5–187.3
207369.960.2–80.9176.1159.9–190.6
207469.260.9–79.3173.5157.8–187
207568.459.6–81.4171.3158.5–186.4
207669.457.9–81173.1158.7–186.3
207770.158.3–80.8176.7160.9–189.8
207867.958.5–82.4176.2163.1–188.2
207968.757.9–81.2175.2160.1–188
208069.459.3–82172.9160.7–190.1
208169.158.1–81.3175.5161.6–189.9
208270.960.1–83176.9162.8–188.2
208370.960.3–82.8179.2161.9–191.4
208471.760.2–82.3179.7164.5–191
208570.260.1–85.4177.9162.3–190.8
208669.660.3–82.9178.4166.1–189.5
208771.362.8–84.1178.1161.8–194.1
208871.660.7–85.2178.1163.4–194.1
208972.361.4–83.9177.5162.8–192.6
20907160.2–83.4176.1163.1–191.9
209172.261.1–83.3178.7163.4–192.6
209272.261.6–83.3179.2164.9–191.4
209372.562.6–83.5179.3165.6–193.8
209472.962.2–85.3181.3169.4–192.9
209573.761.1–84.3181.2166.6–193.1
209673.362.9–85.7179.2163.8–193.2
209770.960.6–84.3180.7162.7–194.4
209873.562.2–87.3178.4163.1–199
209972.761–84.1178.9166.7–191.9
210072.360.5–87.4178.7165.8–191.9

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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