Japan vs Tanzania

Japan vs Tanzania: Tropical nights

Tropical nights in 2014: 58.6 nights in Japan and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Tanzania, by 47.7 nights, or 1.81 times that in Japan.

nights a year · CMIP6

Japan vs Tanzania: Tropical nightsTropical nights in 2014: 58.6 nights in Japan and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Tanzania, by 47.7 nights, or 1.81 times that in Japan.
JapanTanzaniaCMIP6 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 Japan at 87.7 nights and Tanzania at 208 nights in 2100.

Every year

nights a year · CMIP6

YearJapanTanzania
201458.6106.3
201359.9105.5
201259.3108.4
201157.9109
201059.6103.9
200957.6101.1
200857.3100.3
200756.699.5
200657.5100.4
200557.298.7
200456.7100.4
200356.199.6
20025698.4
200154.2101.5
200053.894.9
199955.394.2
199852.496.8
199752.493.5
199652.989.6
199549.788.5
199449.585.4
199345.481.2
199245.180.1
199149.489.6
199050.791.1
198951.489.1
198848.187.6
198747.788.5
198646.189.4
198546.783
198444.883.1
198341.982.1
198246.484.8
198145.988
198046.585
197946.785.5
197847.682.9
197745.884.1
19764681
197546.980.8
197445.682.2
197344.383.6
197245.881.4
197144.880.7
19704481.8
196946.979.5
196845.779.1
196748.377.5
196645.978.1
196545.878
196444.973.8
196348.373.1
196245.681.1
196148.982.6
196046.483.9
195946.981.4
195848.882.1
195749.280.9
195650.680
195547.981.6
195446.981.4
195349.280.6
195249.581.4
195146.282.1
195049.980.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearJapanTanzania
201560.649.3–74.4114.895.2–137.4
201661.547.9–73.9108.391.6–125.6
201762.352.1–75.8114.893.6–137.8
201860.548.5–73.8116.497.4–137.1
201964.152.1–80.1113.495.2–133.2
202063.151–74.5119.396.2–143.5
202162.348.5–78.8119.5100.9–147.1
202264.653.8–76.5124.4105.3–147.4
202365.951.7–78122.1102.1–147.8
202465.352.9–80.7126.2100–150.1
202565.652.8–80.4124.6100.9–154
202665.554.2–81.2126.999.1–155.6
202766.452.9–79.5128102.9–147.7
202865.352.4–80.1129.9106.4–152.1
202968.555–80.4134.1111–156.5
203066.552.3–80.6129.4106.4–151.1
203166.554.7–80136.4115.9–158.4
20326650.8–82.1135.1114–166.8
203370.354.7–84.8135.2110.9–161.9
203468.553.9–81.7134.7112.5–166.3
203572.960.4–84.6140.2114.6–165
203672.556.1–89.7137.8113.3–165.5
203767.656.7–82.5142.9121.5–168.9
203870.558.6–83.8147.9124.3–169.3
203970.455.6–85.7144.3117.6–171.3
204073.657.4–89.3140.5117–178
204172.955.6–88.5149.1121.7–175.6
204271.258.1–86.4146.3120.5–185.3
204373.357.9–88.1144.6117–173
204472.657.8–85.5147.7121.2–175.8
204572.959.5–86.7150.1125.2–183.4
204676.261–90.3161.5128.6–192.2
204775.656.6–89.3160.2129.7–194.4
204874.858.5–89.4158.8132.7–193.1
204974.359.7–90.8157.6131.1–196
205075.160.8–89.3159.7127.8–192
205175.861.1–92.4163.2135.5–197.8
205274.557.9–90.4161.9136.2–199.1
205378.559.6–91.6160.6127.5–197.7
205475.959.6–89.3163.2131.5–200.2
205576.862.2–95.1167.4137–208.3
205677.861.9–93.7166.4130.8–209.7
205779.962.8–94.4168134.6–208.3
205879.263.7–94.9168.7134.9–210.3
205979.858–95.6174.7144.9–219.5
206078.261.1–95.1181.7138.1–219.8
206180.865.7–96.7171.8135.5–218.1
20628063.6–96.3177.5139.9–224
20638064.1–96.5181.4140.1–213.8
206477.661.4–95.2185.3140.1–215.2
206581.763–97.4183.5141.1–221.8
206680.363.8–94.2181.9146.3–219.3
206781.363.2–97.1178.8138.8–229.2
206879.861.4–99.3186144.2–228.4
206982.365–96.1183.7141.7–225.3
207083.360.2–102.3180.7140.4–228.2
207183.663.6–99.2184.9146.9–235.2
207284.363.3–99.1191.3155–226.1
207383.564.9–97.4191.6152.4–235.6
207484.366.8–100.9183.3149.7–231.7
207585.664.1–99.8183.8144.8–233
207683.968.8–99.3191.1150.9–233.2
207786.467.6–102.4191.3152.6–238.2
207884.167.7–103.2189156.6–233.8
207986.168.3–99.4190.5147–237.3
208084.767.6–103.7197.3150.7–241.2
208183.668.5–104.3195.6153.4–237.4
208286.469.4–107.7194.5157.3–237.3
208385.966.5–105.7193.2151–249.8
208485.867.4–102.3201.1152.2–246.7
208587.568.9–102.8204.2162.3–252.3
208684.668.6–105.3195156–248.7
208787.270.3–107196.7160.8–244.5
208886.866.3–102.5208.4154.7–246.9
208985.765.9–103.8201.3158.6–248.2
209089.469.5–104.4197.9160.7–253.6
209188.367.4–103.1210161.6–256
20928667.7–102.3205.8158.3–253.6
209388.969.8–107.4207.2161.2–251.9
209487.569.3–103.7207.9161.3–250.6
20958872.4–104.9214.2166.4–258.5
209690.771–107.3205.3159.8–257.4
209789.471–103.1206.6158.4–256.8
209888.571–106.5209.1161–258.3
209988.370.8–102.4208.5160.1–256
210087.769.2–106.2208158.6–258.6

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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