Austria vs Tanzania

Austria vs Tanzania: Tropical nights

Tropical nights in 2014: 0.8 nights in Austria and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Tanzania, by 105.5 nights, or 130 times that in Austria.

nights a year · CMIP6

Austria vs Tanzania: Tropical nightsTropical nights in 2014: 0.8 nights in Austria and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Tanzania, by 105.5 nights, or 130 times that in Austria.
AustriaTanzaniaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Tanzania has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Austria at 6.7 nights and Tanzania at 208 nights in 2100.

Every year

nights a year · CMIP6

YearAustriaTanzania
20140.8106.3
20130.4105.5
20120.5108.4
20110.6109
20100.5103.9
20090.3101.1
20080.3100.3
20070.299.5
20060.4100.4
20050.498.7
20040.4100.4
20030.399.6
20020.298.4
20010.3101.5
20000.394.9
19990.394.2
19980.196.8
19970.193.5
19960.289.6
19950.288.5
19940.185.4
1993081.2
1992080.1
19910.289.6
19900.291.1
19890.289.1
19880.187.6
19870.188.5
19860.189.4
19850.183
1984083.1
19830.182.1
1982084.8
1981088
19800.185
1979085.5
19780.182.9
1977084.1
19760.181
19750.180.8
19740.182.2
1973083.6
19720.181.4
1971080.7
1970081.8
19690.179.5
1968079.1
19670.177.5
1966078.1
1965078
19640.173.8
19630.173.1
1962081.1
19610.182.6
1960083.9
19590.281.4
1958082.1
1957080.9
19560.180
19550.181.6
1954081.4
19530.180.6
19520.181.4
1951082.1
19500.180.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustriaTanzania
20150.60.1–2114.895.2–137.4
20160.70.1–2.6108.391.6–125.6
20170.90.1–3.4114.893.6–137.8
20180.80.2–3.2116.497.4–137.1
20190.90.2–2.9113.495.2–133.2
20201.30.2–3.4119.396.2–143.5
20210.70.1–3.1119.5100.9–147.1
20221.10.1–3.4124.4105.3–147.4
20230.90.1–3.9122.1102.1–147.8
20240.90.1–3.4126.2100–150.1
20251.60–4124.6100.9–154
20261.40.2–4.4126.999.1–155.6
20271.10.1–3.6128102.9–147.7
20281.30.3–4.3129.9106.4–152.1
20291.50.2–5.5134.1111–156.5
20301.20.1–4.2129.4106.4–151.1
20311.30.2–4.1136.4115.9–158.4
20321.50.2–4.9135.1114–166.8
20331.60.1–5135.2110.9–161.9
203420.1–5.8134.7112.5–166.3
20351.90.3–5.3140.2114.6–165
20362.30.4–7137.8113.3–165.5
20372.20.3–6.6142.9121.5–168.9
20381.90.3–7.1147.9124.3–169.3
20392.80.3–6.4144.3117.6–171.3
20402.40.7–5.8140.5117–178
20412.40.5–5.5149.1121.7–175.6
20422.50.4–6.8146.3120.5–185.3
20432.70.4–6.2144.6117–173
20442.30.6–7.4147.7121.2–175.8
20452.70.4–6.5150.1125.2–183.4
20462.90.4–8.7161.5128.6–192.2
20473.80.3–8.2160.2129.7–194.4
20483.20.3–10.2158.8132.7–193.1
20493.50.2–7.6157.6131.1–196
20502.81–7159.7127.8–192
20512.40.4–8.2163.2135.5–197.8
20523.60.5–7.5161.9136.2–199.1
20532.30.6–6.3160.6127.5–197.7
20542.70.8–7163.2131.5–200.2
20553.20.5–9.2167.4137–208.3
20563.61–8.8166.4130.8–209.7
20573.30.8–7.5168134.6–208.3
205850.3–10.8168.7134.9–210.3
20594.40.6–11.5174.7144.9–219.5
20603.91.1–10181.7138.1–219.8
20614.51.4–9.4171.8135.5–218.1
20623.90.9–9.2177.5139.9–224
20635.41.4–11.3181.4140.1–213.8
20644.70.9–9.9185.3140.1–215.2
206551.3–10.6183.5141.1–221.8
20664.91.2–11.6181.9146.3–219.3
20675.91.3–13.5178.8138.8–229.2
20684.71.6–9.3186144.2–228.4
20695.11.3–10.1183.7141.7–225.3
20704.41.2–11.6180.7140.4–228.2
20714.80.5–12.5184.9146.9–235.2
20725.81.9–10.2191.3155–226.1
20735.31.4–10.5191.6152.4–235.6
20744.51–11.8183.3149.7–231.7
20755.61.5–13.6183.8144.8–233
20766.20.9–14.6191.1150.9–233.2
20774.51.4–12.9191.3152.6–238.2
20785.61–15189156.6–233.8
20796.80.8–17.4190.5147–237.3
20806.31.8–13.3197.3150.7–241.2
20815.71.6–12.9195.6153.4–237.4
208272.2–16.2194.5157.3–237.3
20835.31.5–12.9193.2151–249.8
20846.11.3–11.5201.1152.2–246.7
20856.41.9–13.3204.2162.3–252.3
20866.41.7–15.1195156–248.7
20877.21.4–15.3196.7160.8–244.5
208872.3–15208.4154.7–246.9
20896.51.8–19201.3158.6–248.2
20906.11.9–17.7197.9160.7–253.6
20917.91.9–16.7210161.6–256
20926.91.4–14.4205.8158.3–253.6
20935.61.4–13.6207.2161.2–251.9
20948.51.8–15.3207.9161.3–250.6
20957.21.2–16214.2166.4–258.5
20966.51–15.2205.3159.8–257.4
20975.41.1–15206.6158.4–256.8
20987.62.1–15.1209.1161–258.3
20997.51.3–17.6208.5160.1–256
21006.72.5–16.1208158.6–258.6

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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