Italy vs Philippines

Italy vs Philippines: Tropical nights

Tropical nights in 2014: 26.3 nights in Italy and 331.5 nights in Philippines, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 305.2 nights, or 13 times that in Italy.

nights a year · CMIP6

Italy vs Philippines: Tropical nightsTropical nights in 2014: 26.3 nights in Italy and 331.5 nights in Philippines, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 305.2 nights, or 13 times that in Italy.
ItalyPhilippinesCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Philippines 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 Philippines at 351.3 nights in 2100.

Every year

nights a year · CMIP6

YearItalyPhilippines
201426.3331.5
201324.7330.9
201224.8331.1
201124.6329.8
201027.1330.6
200923.7329
200824.1327.5
200721.5327.8
200624.6328.7
200522.5329.7
200424.5329.4
200323.8327.1
200220.6328.9
200120.8327.8
200021.7326.8
199920.3327.5
199818.9326.5
199718.9325.4
199618.9324.6
199517.9324.2
199417.4321.5
199316.3319.5
199215.1318.4
199118324.1
199018.2323.5
198916.6322.5
198815.5324
198716323.1
198615322.1
198514.5321.4
198415.7321.7
198315.3319.4
198214.1320.5
198115.3320.4
198015.9322.7
197914.5321.2
197816.5320.6
197713.5319.8
197613.8319.6
197514319.6
197414.8320
197313.5319.4
197213.7318.9
197115.3318.8
197014319
196914.5318.7
196813.8317.2
196713.6317.4
196613.2318.8
196512.8317.2
196413.2314.9
196314.2317.2
196215.5318.6
196113.9319.3
196014.9318.6
195916.6320.5
195814.4321.8
195715.5319.4
195616.7320
195516.6319.3
195415.7317.7
195315.4320
195216.6319
195116319.8
195015.3320.4
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearItalyPhilippines
20153021.7–40.4333319.8–339.5
201629.618–42.2334.2322.8–340.7
201731.820.2–43.7333.4319.7–339.8
20183122–44.3333.2320.1–340.1
201931.521.3–43.2334.1323.4–341.2
202031.619.7–44.3334.6322.6–341.8
20213420.8–46.9335.6323.3–341.1
202237.121.3–50.6335.7323.3–342.1
202333.121.3–47.4336.7324.8–343.2
202435.521.6–48.4337.2325.7–343.9
202537.720.5–51.1336.3326.2–342.8
202638.926.6–52.2336.5322.9–343
202734.322.4–49.7336.2325.7–342.3
202837.724.4–53.1337.1325.5–343.8
202937.824.9–55338.1327.2–344.6
203037.925.7–54.7337.7326.2–344.4
203137.223.8–51337.1325.6–343.8
203239.226.2–53.8339.4329.5–346.1
203340.426–50.3339.7329.6–345.5
203442.525.1–57.2338.8328.8–345
203542.728.9–58.3338.6327.5–346.4
203641.127.7–59.9339.6327.8–346.9
20374328.1–54.8339.8329.1–345.5
203841.628.5–61.3341.9330.7–347.7
20394129.4–56.4341.2330.4–346.9
204042.428.1–59.1340.4328.1–347.6
204141.927.2–58.7341.1329.1–346.7
204243.529.6–59342331.4–347.7
20434528.7–59.5341.3329–348.1
204444.929.4–59.9342.8329.9–349.8
204545.230.3–59.2343.4333.8–348.7
20464627.3–62.4342.7330.2–348.7
204749.132.4–63.6343.2331.7–350.6
204846.228.3–65.7343.3332.7–350.6
204948.229.5–65.7343.2332.5–349.5
205049.536.4–64.4344.3332.6–349.9
205148.831.6–68.3344.4334.9–350.8
205250.330.9–68.1344.1333.5–350.9
205348.235.9–67344.3333.6–350.3
205449.435.3–66.1343.4332–349.9
205552.233.7–67.7344.3334.4–350.5
205650.836.2–71.6345334.6–352.6
205750.232.8–65.6345.5335.1–351.5
205855.337.5–70.8345.8334.3–351.3
205951.934.5–74.1345.5333.7–351.6
206052.938.2–68.1346.8335.5–353.5
206154.338.3–69.8345.9335–351.8
206253.936.9–69346335.2–353.5
206356.437.6–72.1346.6336.2–352.8
206455.938.5–71.3346.9335.3–353
20655537.3–73.3346.1335.9–351.9
206653.935.8–73.8346.5335.4–352.4
206761.141.2–76.6346.1335.4–352
206856.241.7–73347.1335.1–354.1
206958.741.8–73347333.8–353.6
207055.738.9–74.4346.7336.1–352.7
207159.637.8–76.6347.6336.2–353.9
207259.643.5–74.6347334.4–353.8
207356.939.4–71.6348.4336.7–355
207454.836.7–73.7348.6337–354.9
207556.941.8–75.4347.9337.2–354
207659.941.9–77.7348.4337–355.1
207757.437.9–74.1348.7337–354.8
207860.540.5–80.7348.4338.2–354.7
207960.637.1–83.3348.8337.6–354.7
208059.743.1–78349.1338.4–355.9
20815943.7–78.9348.8336.9–355.1
208263.945.5–80.2349.6338–354.9
208360.842–79.7349.9337.9–356.1
208462.547.3–82.1349.5336.7–356.4
208565.246.3–79349.1338.2–355.4
208664.445.6–80.1349.4337.5–354.9
208763.743.8–84349.7338.7–356
208867.247.4–84.4349.9338.9–356.1
208964.546–82.9350.2339.8–355.2
209065.842.8–80.5350.1339.7–355.9
209166.745.3–84.7349.5339.5–356.3
209264.838.5–82.3350.5339.3–356.1
209363.644.7–83350.4337.9–356.5
209462.445–82350.5338.4–355.9
20956643.6–83.5350.5338.3–355.7
20966542.9–85.8351.1339–358
209765.844.9–84.4350.2339.3–355.6
209864.647.9–84.2350.3337.4–355.2
209967.742.2–81.9350.6339.3–356.4
210065.142.5–83.2351.3340.2–356.3

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

Italy vs Philippines

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment