Russia vs Vietnam

Russia vs Vietnam: Tropical nights

Tropical nights in 2014: 1.4 nights in Russia and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 241.2 nights, or 180 times that in Russia.

nights a year · CMIP6

Russia vs Vietnam: Tropical nightsTropical nights in 2014: 1.4 nights in Russia and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 241.2 nights, or 180 times that in Russia.
RussiaVietnamCMIP6 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 Russia at 5.9 nights and Vietnam at 282.7 nights in 2100.

Every year

nights a year · CMIP6

YearRussiaVietnam
20141.4242.6
20131.2243.6
20121.1242.4
20111.1241.9
20101.2240.9
20091240
20081.1238.7
20071238
20061.1239.1
20051.2238.3
20041241.8
20031235.9
20020.9236.3
20011241.3
20000.9237
19990.8236
19980.8236.8
19970.9237.1
19960.7231.4
19950.7229.9
19940.6231.2
19930.5225.3
19920.4221.9
19910.6229.8
19900.6233.1
19890.6229.2
19880.5231.7
19870.6230.3
19860.6230.9
19850.6228
19840.4230.2
19830.3224.9
19820.5227.5
19810.5229.7
19800.5228.1
19790.5228.9
19780.5227.5
19770.5229
19760.5225.8
19750.4225.8
19740.5225.7
19730.5230.3
19720.4225.6
19710.5225.5
19700.4226.1
19690.4227
19680.6227.1
19670.5222.9
19660.4226.8
19650.5225.4
19640.4222.6
19630.5224.3
19620.4227.8
19610.5229.4
19600.5228.5
19590.5226.2
19580.5230.9
19570.5228.4
19560.5228.7
19550.5227.5
19540.5226.3
19530.6228.2
19520.5228.5
19510.5229.2
19500.5228.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearRussiaVietnam
20151.60.6–3.9245.8228.2–261.9
20161.30.6–3.5243.7226.1–259.4
20171.40.5–3.6247229.6–260.7
20181.70.6–4.1248.3228.8–263.3
20191.50.7–3.9248.1229.2–262.8
20201.50.7–3.6248.8229.6–262.9
20211.40.6–3.6251.1233.1–266.7
20221.80.6–4.4252.4234.3–266.8
20231.80.6–4.5253.4235.4–266.6
20241.70.7–4.1251.3236.7–264.6
202520.7–5.2252.4234.1–266.2
20261.70.7–4.4252.8232.9–268.5
20271.90.8–4.7253.2237–268.8
20281.70.8–4.4254.3237.7–272
202920.9–5.3258.1238.5–273.7
20301.80.6–4.8256.4240.9–270.1
20312.11–5.1255.9241.2–270.9
20322.20.9–5.8257.4239.1–269.9
20332.11.1–5.4258.3241.7–273.2
20341.90.8–4.9258.8240.7–275.8
20352.21–5.8258.6242.5–275.4
20362.41.1–5.9258.3239.1–273.8
20372.31–6.1258.7242.4–272.4
20382.51.1–5.8263.4247.6–277.3
20392.71.2–6.8260.2243.7–275.9
20402.50.9–5.8260.1242.8–274.8
20412.61.1–6.6263.1245.9–279
20422.61–6.8263.6246.5–279
20432.81.4–7261.4245.5–279.6
20442.81–7.5263.2245.2–277.6
20452.61.1–7.1265.5249.6–281.4
20462.81.1–7.5264.9246.8–278.1
20472.91.1–8.3266.9250.4–282.9
20483.41.1–7.9268250.5–283.8
20493.21.4–8267.8251.2–284.8
20503.51.3–8.2268251.2–283.5
20513.41.3–8.9270.9254.3–285.4
205231.2–8.1268.3253.3–282.8
20533.11.3–7.5268.5250.1–283.2
20543.21.1–7.7269.1250.8–283.6
20553.31.2–9270249.8–284.2
20563.51.3–8.8271.7254.8–290.1
20573.71.5–9.1270253–285.7
20583.61.5–10.2270.7252.9–286.5
20593.81.5–9.3273257.6–286.6
20603.41.4–8.9275.7255.6–290.6
20613.91.5–9.3273.5254.6–289.5
20623.71.4–10.1271.4253.1–290.2
20634.11.4–10.3272.9252.7–288.1
20643.61.2–10.1273.8254.4–288.1
20654.21.4–10.4272255.8–286.3
206641.4–10.5271.8254.4–287.3
20673.91.3–9.9270.8252.1–287.6
20684.21.4–10.3275.6256.9–292.4
20694.61.7–11.6276.4258.5–292
20703.81.3–11.8274.6257.8–292.8
207141.4–11.5276.2255.2–294.1
20724.51.8–10.9277256.8–291.4
20734.61.5–11.7278.5262.7–293.4
20744.41.7–11.7277.6259.2–295.8
20754.31.6–11.3276.4258.7–294.4
20764.91.8–12279.2258.5–296.6
20774.81.9–10.9280264.9–294.7
20784.92.1–12278.4258.6–295.5
20795.42–12.7279.3263.4–293.6
20804.91.8–12.5280261.4–296.5
20815.12.1–12.5280.4261.2–297.9
208251.9–13.9280.9258.9–296
20835.42.2–13.2278.4261.6–295
20845.42–12.2279257.4–293.8
20855.21.7–13.3281.3265–297.8
20865.31.8–14.1282.3260.2–297.5
20875.31.9–13.6281.9261.3–300.7
20885.51.9–13.6283.1265.7–301.5
20895.22.2–12.5280.8261.2–301.6
20905.42–12280.5264.5–297.6
20915.91.9–15.4283.3264.3–298.9
20925.92–13.2281.1261.5–299.4
20935.61.8–14280.5263.4–296.1
20946.12.2–15.1283264.5–300
20955.62.1–14.7285.5264.5–302.9
20966.22.2–14.9281.8264.8–299.8
20976.21.9–14.7281.5263.3–299
20986.12.1–14.3282.5263.9–301.5
20995.61.8–14.7282.7265.1–298
21005.92.2–14.8282.7261–298.2

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

Russia vs Vietnam

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment