Tanzania vs United States

Tanzania vs United States: Tropical nights

Tropical nights in 2014: 106.3 nights in Tanzania and 39.8 nights in United States, in the CMIP6 climate models’ median run. In 2014 the value was higher in Tanzania, by 66.5 nights, or 2.67 times that in United States.

nights a year · CMIP6

Tanzania vs United States: Tropical nightsTropical nights in 2014: 106.3 nights in Tanzania and 39.8 nights in United States, in the CMIP6 climate models’ median run. In 2014 the value was higher in Tanzania, by 66.5 nights, or 2.67 times that in United States.
TanzaniaUnited StatesCMIP6 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 Tanzania at 208 nights and United States at 63.9 nights in 2100.

Every year

nights a year · CMIP6

YearTanzaniaUnited States
2014106.339.8
2013105.538.9
2012108.438.7
201110938.4
2010103.938.3
2009101.137.5
2008100.336.8
200799.537.7
2006100.437.6
200598.736.8
2004100.435.8
200399.636
200298.437.7
2001101.536.7
200094.935.5
199994.236.1
199896.834.8
199793.535.1
199689.633.6
199588.533.6
199485.432.4
199381.230.9
199280.129.4
199189.633.7
199091.133.8
198989.132.9
198887.633
198788.532.1
198689.431.5
19858332
198483.130.1
198382.128.4
198284.830.8
19818832.9
19808530.7
197985.532.1
197882.931.6
197784.131.6
19768129.7
197580.831.1
197482.229.8
197383.629.9
197281.430.7
197180.730
197081.829.7
196979.530.4
196879.129.5
196777.529.7
196678.129.1
19657828.6
196473.828.1
196373.130
196281.130.8
196182.631.9
196083.931.1
195981.431
195882.130.6
195780.931
19568032
195581.630.7
195481.430.8
195380.631.3
195281.430.6
195182.130.7
195080.730.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearTanzaniaUnited States
2015114.895.2–137.440.932.9–49.8
2016108.391.6–125.641.933.3–52
2017114.893.6–137.84234–50.6
2018116.497.4–137.14333.9–52.5
2019113.495.2–133.243.234.3–52.6
2020119.396.2–143.542.833.9–53.1
2021119.5100.9–147.142.833.8–52.7
2022124.4105.3–147.443.634.5–52.3
2023122.1102.1–147.844.535–55.5
2024126.2100–150.144.935.9–54.5
2025124.6100.9–1544636.7–55.5
2026126.999.1–155.644.735.6–54.8
2027128102.9–147.746.437.3–58.4
2028129.9106.4–152.145.836.5–56.6
2029134.1111–156.546.936.9–57.7
2030129.4106.4–151.146.936.6–58.8
2031136.4115.9–158.446.337–55.7
2032135.1114–166.846.236.9–56.5
2033135.2110.9–161.949.439.1–60.3
2034134.7112.5–166.347.738.7–58.6
2035140.2114.6–16547.737.5–59.6
2036137.8113.3–165.549.439.2–61.8
2037142.9121.5–168.948.639.1–59.8
2038147.9124.3–169.350.240.4–59.8
2039144.3117.6–171.350.240.5–60.9
2040140.5117–17850.739.8–61.8
2041149.1121.7–175.649.840.1–61.2
2042146.3120.5–185.351.441–63.1
2043144.6117–17351.341.4–62.2
2044147.7121.2–175.851.340.5–63.3
2045150.1125.2–183.452.441.5–64.7
2046161.5128.6–192.253.343.3–64.1
2047160.2129.7–194.453.844.1–66.5
2048158.8132.7–193.153.542.2–66
2049157.6131.1–19653.743.2–65.9
2050159.7127.8–19254.943–67.2
2051163.2135.5–197.854.743.5–67.5
2052161.9136.2–199.153.642–66.1
2053160.6127.5–197.754.342.4–66.8
2054163.2131.5–200.254.543.1–67
2055167.4137–208.355.142.4–68
2056166.4130.8–209.755.844.3–70
2057168134.6–208.356.244.6–68.1
2058168.7134.9–210.356.144.4–70.4
2059174.7144.9–219.555.544.5–67.9
2060181.7138.1–219.856.144.9–68.3
2061171.8135.5–218.15746–69
2062177.5139.9–22457.443.9–70.3
2063181.4140.1–213.857.244.7–70.8
2064185.3140.1–215.25643–68.2
2065183.5141.1–221.856.544.2–71
2066181.9146.3–219.358.747.4–71.2
2067178.8138.8–229.258.647.2–71.4
2068186144.2–228.458.846.1–71.7
2069183.7141.7–225.359.646.8–73
2070180.7140.4–228.257.944.7–72.8
2071184.9146.9–235.25946.5–72
2072191.3155–226.158.746.4–72.9
2073191.6152.4–235.659.345.8–72.1
2074183.3149.7–231.760.546.4–74.6
2075183.8144.8–23359.846.6–75.3
2076191.1150.9–233.259.647.5–74.4
2077191.3152.6–238.260.147.9–74.3
2078189156.6–233.860.747–76
2079190.5147–237.361.148.3–76.2
2080197.3150.7–241.261.448.8–76.8
2081195.6153.4–237.46149.2–74.7
2082194.5157.3–237.361.748.1–75.9
2083193.2151–249.862.849.6–77.6
2084201.1152.2–246.762.248.1–76.8
2085204.2162.3–252.36247.9–76
2086195156–248.76449–78.8
2087196.7160.8–244.563.349.5–77.3
2088208.4154.7–246.963.148.2–78.4
2089201.3158.6–248.261.648.8–76.6
2090197.9160.7–253.664.950.6–79
2091210161.6–25664.750–78.6
2092205.8158.3–253.66448.1–79
2093207.2161.2–251.964.350.1–80.2
2094207.9161.3–250.663.248.2–78.9
2095214.2166.4–258.564.149.8–79.8
2096205.3159.8–257.46549.9–79.6
2097206.6158.4–256.863.347.3–81.2
2098209.1161–258.364.349.7–79.2
2099208.5160.1–25664.350.3–79.5
2100208158.6–258.663.950.3–80.2

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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