Spain vs Thailand

Spain vs Thailand: Tropical nights

Tropical nights in 2014: 16.8 nights in Spain and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 269.6 nights, or 17 times that in Spain.

nights a year · CMIP6

Spain vs Thailand: Tropical nightsTropical nights in 2014: 16.8 nights in Spain and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 269.6 nights, or 17 times that in Spain.
SpainThailandCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Thailand has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Spain at 51.6 nights and Thailand at 320.8 nights in 2100.

Every year

nights a year · CMIP6

YearSpainThailand
201416.8286.4
201317.9289.1
201216.4286.6
201116.2286.4
201017.5286
200916.2286.9
200816.5284.8
200715.3283.2
200617.6284.3
200516.5281.7
200416.4287.5
200314.5279.3
200214.9280
200115.6285.5
200013.8283.4
199913.9282.5
199813.5282.7
199712.7284.8
199612.9279.8
199511.4278.7
199412.1280.8
199311275.6
19929.5268.8
199112.3276.7
199013.1279.2
198911.5278.4
198812.3279.6
198711.1277.9
19869.2277.5
19858.9276
19848.9277.9
19839.5273.9
198210275.7
198110.1277.8
19809.6277.9
197910.5278
197811.1276
19779.7277.3
19768.3275.6
19758.7274.4
197410276
19738.9280.6
19729.6273.9
19718.4273.2
19708276
19699.2274.8
19689277
19678.8270.3
19668.1274.4
19657.6275.8
196410.1271.9
19638.7274.7
19629.5275.4
19619.4278.5
19609.3276.2
195910.2274.4
19589.7278.7
19579.5277.4
195610.5277
195510.4274.6
19549.8275
19539275.4
195210.5275.1
195110.2277.5
195011.8276.2
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSpainThailand
201520.413.3–30.2290.6272.2–305
201620.113.2–33.4287.1269.8–306.2
201721.313.3–31.1290273.8–302.8
201822.815.6–34.2292.6275.1–308.7
201922.714.6–33.6291.2272.8–306.7
202022.314.2–32.8292.4272.2–307.8
202123.114.2–34.2294.2276.3–308.5
202226.515–37.6294.8277.2–311.9
202325.215.5–35.2296.1281.9–310.2
202425.216.8–37291.7275.5–307.8
202524.914–36.5294276.7–306.3
202624.814.9–36.8296278–309.3
202726.817–38.3295.8276.3–311.1
202827.315.8–39.5297279.3–315.1
20292816–41.8300.3278.7–315
203027.816.8–38297.7280.2–312.5
20312817–39300.8282.8–317.1
203229.720.5–40.3297.2280.9–311.4
203328.920–39.2300281.9–315.8
203431.419.3–44.8300.8279–318.4
203530.619.2–43.3298.6281.5–317.8
203630.721.4–43.8300.4279.9–316.9
203731.319.8–41.7299.8280–315.1
203831.621.5–45304.8286.6–319.3
203931.723–43.8300.9281.9–317
204030.119–46301.6284.5–315.7
204130.419.5–43.3303.1285.1–318.8
204231.521.5–43.1303.8290–318.3
20433219.4–47.6302285.8–317.9
20443221.8–45.9304.3286.3–318.8
204534.122.7–47.8307.1287.7–324.2
204633.921.1–47.3305.9285.2–321
204734.322.3–49306.6289.5–321.5
204835.723.1–46309.4288.9–325.7
204937.324.6–52.2308.1287.2–324.1
205037.425.7–52.7307.5291–321.5
205136.322.6–51.6312.8294.8–326
205238.224.4–51.2310.9291.2–323.4
205336.325.2–51.9308.3289.5–323.3
20543623–53308.8292.8–322.3
205539.126.3–52.3308.6290.6–325.1
205638.227–52.8311.3294.9–326.3
205740.526.6–53.5308.5286.7–326.4
205841.827–54.8308291.1–325.1
205939.225.5–55.2312.7295.8–325.3
206041.929.2–55313.1294.6–328.6
206142.629.2–58.6314.4289.5–331.1
206241.429–55.5311.4293.4–330.3
206345.225.2–59.7314.8296.9–327.3
206442.625.1–57.5312.5295.4–330
206540.825.4–61.7309.6293.1–329.3
20664228.9–57.3312.1292.6–328
206745.531.3–61.4311.2289.6–329.4
206841.528.4–58.9310.8292.4–330.6
20694630–59.7315.5296.1–329.5
207045.430.7–63.3314.2292.9–330.7
207145.931.7–62.2313.8296.4–330.8
207247.130.2–62.5314.8296–329.6
207346.630.5–63.8316.5299.9–332.1
207443.429.5–61.4317.2295–333.8
207545.529–60.5317.2295.3–331.4
207646.930.2–64.9317.4299.8–335
207746.129.6–63317.5297.3–335.9
20784729.9–67.3315.9297.1–331.6
207943.731.4–63.5318.5300.5–332.3
208046.830–63.9319.8297.4–337.5
20814733.2–65317.7299.5–334.9
20824834.3–63.4317.9294.8–333
208349.932.4–65.9315297.8–332.9
208449.234.7–65.4316295.5–330
20855037.5–66322.6300.8–334.7
20865133.7–67.6319.4295.2–335.2
20875236–70.2320.2302.2–334.7
208852.133.4–72.5321.4299.8–334.8
208950.936.8–67.7318.9296.4–338.1
209052.832.7–72.3317.6304–337.4
209154.133.4–70320.1299.8–336.1
209251.532.8–66.4316.3298–336.4
209348.734.9–66.7316.1297.7–333.7
209450.331.4–70.1323.4301.8–337.3
209552.733.7–72.2322.9302.4–338.9
209654.134.9–72.5319.6302.8–336.7
209753.136.1–71.9319.8299.1–336
20985234.3–70.7320.5303.9–336
209955.737–70.7319.9303.1–334.4
210051.634.3–71.2320.8301.1–336.7

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

Spain vs Thailand

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment