Italy vs Vatican City

Italy vs Vatican City: Tropical nights

Tropical nights in 2014: 26.3 nights in Italy and 27 nights in Vatican City, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vatican City, by 0.7 nights, or 1.03 times that in Italy.

nights a year · CMIP6

Italy vs Vatican City: Tropical nightsTropical nights in 2014: 26.3 nights in Italy and 27 nights in Vatican City, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vatican City, by 0.7 nights, or 1.03 times that in Italy.
ItalyVatican CityCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Vatican City has been higher since 2014, when it overtook Italy.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Italy at 65.1 nights and Vatican City at 84 nights in 2100.

Every year

nights a year · CMIP6

YearItalyVatican City
201426.327
201324.723
201224.825
201124.625
201027.131
200923.726
200824.126
200721.515
200624.623
200522.519
200424.527
200323.824
200220.616
200120.816
200021.720
199920.320
199818.914
199718.917
199618.919
199517.914
199417.412
199316.310
199215.111
19911815
199018.215
198916.612
198815.59
1987169
1986158
198514.56
198415.77
198315.36
198214.17
198115.39
198015.911
197914.56
197816.510
197713.55
197613.86
1975147
197414.810
197313.58
197213.77
197115.310
19701410
196914.59
196813.88
196713.66
196613.25
196512.87
196413.29
196314.25
196215.59
196113.96
196014.97
195916.69
195814.410
195715.511
195616.712
195516.613
195415.710
195315.48
195216.615
19511611
195015.37
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearItalyVatican City
20153021.7–40.43624–53
201629.618–42.23213–54
201731.820.2–43.74013–58
20183122–44.33722–56
201931.521.3–43.24126–58
202031.619.7–44.33920–57
20213420.8–46.94019–59
202237.121.3–50.64728–68
202333.121.3–47.44022–57
202435.521.6–48.43917–61
202537.720.5–51.15021–68
202638.926.6–52.24934–67
202734.322.4–49.74228–64
202837.724.4–53.14821–76
202937.824.9–554727–70
203037.925.7–54.75226–75
203137.223.8–514618–65
203239.226.2–53.85032–70
203340.426–50.35224–71
203442.525.1–57.25618–75
203542.728.9–58.35734–74
203641.127.7–59.95528–80
20374328.1–54.85629–67
203841.628.5–61.35139–77
20394129.4–56.45038–70
204042.428.1–59.15238–85
204141.927.2–58.75035–78
204243.529.6–595340–76
20434528.7–59.55731–79
204444.929.4–59.96035–75
204545.230.3–59.26038–77
20464627.3–62.45834–83
204749.132.4–63.66344–78
204846.228.3–65.76127–90
204948.229.5–65.76336–91
205049.536.4–64.46645–81
205148.831.6–68.36437–89
205250.330.9–68.16933–91
205348.235.9–676451–90
205449.435.3–66.16248–83
205552.233.7–67.76843–91
205650.836.2–71.66839–90
205750.232.8–65.66641–85
205855.337.5–70.87549–91
205951.934.5–74.16743–96
206052.938.2–68.17044–87
206154.338.3–69.87348–91
206253.936.9–697049–87
206356.437.6–72.17253–93
206455.938.5–71.37449–95
20655537.3–73.37244–95
206653.935.8–73.86851–92
206761.141.2–76.68159–97
206856.241.7–737456–95
206958.741.8–737757–94
207055.738.9–74.46949–95
207159.637.8–76.67651–98
207259.643.5–74.67660–92
207356.939.4–71.67756–87
207454.836.7–73.76654–93
207556.941.8–75.47558–89
207659.941.9–77.78155–98
207757.437.9–74.17755–91
207860.540.5–80.78350–98
207960.637.1–83.38042–105
208059.743.1–787460–95
20815943.7–78.97662–98
208263.945.5–80.27959–98
208360.842–79.77758–100
208462.547.3–82.18161–106
208565.246.3–798655–101
208664.445.6–80.18455–100
208763.743.8–848257–100
208867.247.4–84.48759–104
208964.546–82.98363–100
209065.842.8–80.58656–102
209166.745.3–84.78759–96
209264.838.5–82.38755–102
209363.644.7–838257–108
209462.445–828060–100
20956643.6–83.58656–103
20966542.9–85.88356–107
209765.844.9–84.48563–103
209864.647.9–84.27664–102
209967.742.2–81.98658–102
210065.142.5–83.28456–104

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