Italy vs Pakistan

Italy vs Pakistan: Tropical nights

Tropical nights in 2014: 26.3 nights in Italy and 149.9 nights in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 123.6 nights, or 5.7 times that in Italy.

nights a year · CMIP6

Italy vs Pakistan: Tropical nightsTropical nights in 2014: 26.3 nights in Italy and 149.9 nights in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 123.6 nights, or 5.7 times that in Italy.
ItalyPakistanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Pakistan has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Italy at 65.1 nights and Pakistan at 177.6 nights in 2100.

Every year

nights a year · CMIP6

YearItalyPakistan
201426.3149.9
201324.7149.1
201224.8149.9
201124.6149
201027.1148.4
200923.7147.1
200824.1147.4
200721.5147.3
200624.6146.7
200522.5146.5
200424.5147.5
200323.8146
200220.6148.3
200120.8145.4
200021.7144.7
199920.3146.9
199818.9144.8
199718.9143.2
199618.9141.2
199517.9141.8
199417.4142.1
199316.3140.4
199215.1139.9
199118142.5
199018.2142.6
198916.6142.5
198815.5140.3
198716140
198615140
198514.5140
198415.7138.9
198315.3136.3
198214.1138.5
198115.3141.5
198015.9139.5
197914.5139.1
197816.5139
197713.5138.6
197613.8139.2
197514136.5
197414.8138.7
197313.5137.8
197213.7137.4
197115.3136
197014137.7
196914.5135.9
196813.8136.6
196713.6135.2
196613.2136.9
196512.8138.3
196413.2135.1
196314.2135.7
196215.5137
196113.9138.6
196014.9139
195916.6138.6
195814.4137.7
195715.5140
195616.7137.8
195516.6137.5
195415.7137.8
195315.4136.9
195216.6138.1
195116136.7
195015.3139.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearItalyPakistan
20153021.7–40.4152.4138.7–163.3
201629.618–42.2150.6139.4–161.7
201731.820.2–43.7151.3138.8–162
20183122–44.3152.6139.8–161.8
201931.521.3–43.2151.8138.1–163.3
202031.619.7–44.3153.1140.3–164.5
20213420.8–46.9154.1140.6–165.7
202237.121.3–50.6153.1140.2–165.7
202333.121.3–47.4155.5141.6–165.9
202435.521.6–48.4156.8143.3–168.7
202537.720.5–51.1155.7141.5–168.6
202638.926.6–52.2155.3142.2–167.9
202734.322.4–49.7156.8140.9–168.9
202837.724.4–53.1156.5143.9–167.6
202937.824.9–55155.9141.5–167.7
203037.925.7–54.7156.3143.3–167.6
203137.223.8–51157.3144.4–168.1
203239.226.2–53.8157.4142.5–169.6
203340.426–50.3157.7143.6–169.4
203442.525.1–57.2159.5145.6–173.4
203542.728.9–58.3159.3146.7–170.3
203641.127.7–59.9159.1147.5–171.4
20374328.1–54.8162.2147.5–175.3
203841.628.5–61.3161.4148.6–171.7
20394129.4–56.4160148.2–170.4
204042.428.1–59.1160.9147.9–171.3
204141.927.2–58.7160.8146.7–171.7
204243.529.6–59162.3149.9–175.6
20434528.7–59.5161.1150.3–173.8
204444.929.4–59.9163150.9–173.9
204545.230.3–59.2163149.5–174.8
20464627.3–62.4163.5149.8–177.2
204749.132.4–63.6165.2151.8–178.5
204846.228.3–65.7166.4154.1–179.4
204948.229.5–65.7165150.8–178.2
205049.536.4–64.4166.9153.5–179.3
205148.831.6–68.3165.6150.8–180
205250.330.9–68.1166.7155.4–179.5
205348.235.9–67166.3154.2–178.8
205449.435.3–66.1167.5153.9–181
205552.233.7–67.7167.8155.8–182.5
205650.836.2–71.6166.3153.6–179.7
205750.232.8–65.6168.3153.9–182.3
205855.337.5–70.8167.5157–179.9
205951.934.5–74.1170.9155.9–183.8
206052.938.2–68.1170.3156.5–181.8
206154.338.3–69.8168.8156.8–179.6
206253.936.9–69171.6153.5–186.5
206356.437.6–72.1171.3159.5–183.8
206455.938.5–71.3170.2155.3–184.5
20655537.3–73.3169.7156.4–185
206653.935.8–73.8172.2157–186.7
206761.141.2–76.6173.2160.2–186.3
206856.241.7–73172.6157.7–186.3
206958.741.8–73171.8157.3–185.6
207055.738.9–74.4171.7158.9–186.7
207159.637.8–76.6173.4158.7–186.8
207259.643.5–74.6174161.5–186.9
207356.939.4–71.6175.6157.2–187.9
207454.836.7–73.7173.5160–186.3
207556.941.8–75.4173161.5–187.8
207659.941.9–77.7172.9158.8–186.7
207757.437.9–74.1175161.3–187.8
207860.540.5–80.7174.4160.9–189.3
207960.637.1–83.3172.5158.3–187.7
208059.743.1–78175.1160.7–189.2
20815943.7–78.9174.9159.2–190.2
208263.945.5–80.2175.4161.8–190.6
208360.842–79.7176.5161.8–190.8
208462.547.3–82.1176.1160.9–190.5
208565.246.3–79176.3161.9–193.6
208664.445.6–80.1173.9160–189.1
208763.743.8–84176161–193.1
208867.247.4–84.4175.4160.5–195.2
208964.546–82.9177.2164.2–191.7
209065.842.8–80.5177.7163.9–192.2
209166.745.3–84.7177.8162.8–192.2
209264.838.5–82.3178.7162.9–192.9
209363.644.7–83177164–191
209462.445–82176.8164.1–190.7
20956643.6–83.5178.6163.8–193.1
20966542.9–85.8177.8163.7–192.5
209765.844.9–84.4177.3160.4–192.5
209864.647.9–84.2178.7162.6–195.7
209967.742.2–81.9176159.9–193.2
210065.142.5–83.2177.6162.2–193

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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