United States vs Vietnam

United States vs Vietnam: Tropical nights

Tropical nights in 2014: 39.8 nights in United States and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 202.8 nights, or 6.1 times that in United States.

nights a year · CMIP6

United States vs Vietnam: Tropical nightsTropical nights in 2014: 39.8 nights in United States and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 202.8 nights, or 6.1 times that in United States.
United StatesVietnamCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Vietnam has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts United States at 63.9 nights and Vietnam at 282.7 nights in 2100.

Every year

nights a year · CMIP6

YearUnited StatesVietnam
201439.8242.6
201338.9243.6
201238.7242.4
201138.4241.9
201038.3240.9
200937.5240
200836.8238.7
200737.7238
200637.6239.1
200536.8238.3
200435.8241.8
200336235.9
200237.7236.3
200136.7241.3
200035.5237
199936.1236
199834.8236.8
199735.1237.1
199633.6231.4
199533.6229.9
199432.4231.2
199330.9225.3
199229.4221.9
199133.7229.8
199033.8233.1
198932.9229.2
198833231.7
198732.1230.3
198631.5230.9
198532228
198430.1230.2
198328.4224.9
198230.8227.5
198132.9229.7
198030.7228.1
197932.1228.9
197831.6227.5
197731.6229
197629.7225.8
197531.1225.8
197429.8225.7
197329.9230.3
197230.7225.6
197130225.5
197029.7226.1
196930.4227
196829.5227.1
196729.7222.9
196629.1226.8
196528.6225.4
196428.1222.6
196330224.3
196230.8227.8
196131.9229.4
196031.1228.5
195931226.2
195830.6230.9
195731228.4
195632228.7
195530.7227.5
195430.8226.3
195331.3228.2
195230.6228.5
195130.7229.2
195030.5228.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearUnited StatesVietnam
201540.932.9–49.8245.8228.2–261.9
201641.933.3–52243.7226.1–259.4
20174234–50.6247229.6–260.7
20184333.9–52.5248.3228.8–263.3
201943.234.3–52.6248.1229.2–262.8
202042.833.9–53.1248.8229.6–262.9
202142.833.8–52.7251.1233.1–266.7
202243.634.5–52.3252.4234.3–266.8
202344.535–55.5253.4235.4–266.6
202444.935.9–54.5251.3236.7–264.6
20254636.7–55.5252.4234.1–266.2
202644.735.6–54.8252.8232.9–268.5
202746.437.3–58.4253.2237–268.8
202845.836.5–56.6254.3237.7–272
202946.936.9–57.7258.1238.5–273.7
203046.936.6–58.8256.4240.9–270.1
203146.337–55.7255.9241.2–270.9
203246.236.9–56.5257.4239.1–269.9
203349.439.1–60.3258.3241.7–273.2
203447.738.7–58.6258.8240.7–275.8
203547.737.5–59.6258.6242.5–275.4
203649.439.2–61.8258.3239.1–273.8
203748.639.1–59.8258.7242.4–272.4
203850.240.4–59.8263.4247.6–277.3
203950.240.5–60.9260.2243.7–275.9
204050.739.8–61.8260.1242.8–274.8
204149.840.1–61.2263.1245.9–279
204251.441–63.1263.6246.5–279
204351.341.4–62.2261.4245.5–279.6
204451.340.5–63.3263.2245.2–277.6
204552.441.5–64.7265.5249.6–281.4
204653.343.3–64.1264.9246.8–278.1
204753.844.1–66.5266.9250.4–282.9
204853.542.2–66268250.5–283.8
204953.743.2–65.9267.8251.2–284.8
205054.943–67.2268251.2–283.5
205154.743.5–67.5270.9254.3–285.4
205253.642–66.1268.3253.3–282.8
205354.342.4–66.8268.5250.1–283.2
205454.543.1–67269.1250.8–283.6
205555.142.4–68270249.8–284.2
205655.844.3–70271.7254.8–290.1
205756.244.6–68.1270253–285.7
205856.144.4–70.4270.7252.9–286.5
205955.544.5–67.9273257.6–286.6
206056.144.9–68.3275.7255.6–290.6
20615746–69273.5254.6–289.5
206257.443.9–70.3271.4253.1–290.2
206357.244.7–70.8272.9252.7–288.1
20645643–68.2273.8254.4–288.1
206556.544.2–71272255.8–286.3
206658.747.4–71.2271.8254.4–287.3
206758.647.2–71.4270.8252.1–287.6
206858.846.1–71.7275.6256.9–292.4
206959.646.8–73276.4258.5–292
207057.944.7–72.8274.6257.8–292.8
20715946.5–72276.2255.2–294.1
207258.746.4–72.9277256.8–291.4
207359.345.8–72.1278.5262.7–293.4
207460.546.4–74.6277.6259.2–295.8
207559.846.6–75.3276.4258.7–294.4
207659.647.5–74.4279.2258.5–296.6
207760.147.9–74.3280264.9–294.7
207860.747–76278.4258.6–295.5
207961.148.3–76.2279.3263.4–293.6
208061.448.8–76.8280261.4–296.5
20816149.2–74.7280.4261.2–297.9
208261.748.1–75.9280.9258.9–296
208362.849.6–77.6278.4261.6–295
208462.248.1–76.8279257.4–293.8
20856247.9–76281.3265–297.8
20866449–78.8282.3260.2–297.5
208763.349.5–77.3281.9261.3–300.7
208863.148.2–78.4283.1265.7–301.5
208961.648.8–76.6280.8261.2–301.6
209064.950.6–79280.5264.5–297.6
209164.750–78.6283.3264.3–298.9
20926448.1–79281.1261.5–299.4
209364.350.1–80.2280.5263.4–296.1
209463.248.2–78.9283264.5–300
209564.149.8–79.8285.5264.5–302.9
20966549.9–79.6281.8264.8–299.8
209763.347.3–81.2281.5263.3–299
209864.349.7–79.2282.5263.9–301.5
209964.350.3–79.5282.7265.1–298
210063.950.3–80.2282.7261–298.2

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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