Tanzania vs Zambia

Tanzania vs Zambia: Tropical nights

Tropical nights in 2014: 106.3 nights in Tanzania and 62.9 nights in Zambia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Tanzania, by 43.4 nights, or 1.69 times that in Zambia.

nights a year · CMIP6

Tanzania vs Zambia: Tropical nightsTropical nights in 2014: 106.3 nights in Tanzania and 62.9 nights in Zambia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Tanzania, by 43.4 nights, or 1.69 times that in Zambia.
TanzaniaZambiaCMIP6 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 Zambia at 171.5 nights in 2100.

Every year

nights a year · CMIP6

YearTanzaniaZambia
2014106.362.9
2013105.564.7
2012108.463.9
201110961.5
2010103.959.3
2009101.157.5
2008100.356
200799.555.1
2006100.455.9
200598.754.5
2004100.458.4
200399.656.6
200298.455
2001101.559
200094.952.9
199994.248
199896.851.3
199793.547.8
199689.643.5
199588.543.9
199485.441.6
199381.235.3
199280.136
199189.642.7
199091.146.4
198989.145
198887.643.6
198788.544
198689.443.8
19858338.7
198483.138.7
198382.138.8
198284.840
19818841.7
19808539.7
197985.540.7
197882.938.9
197784.140
19768135.7
197580.837.1
197482.237.4
197383.638.8
197281.435
197180.736
197081.838.1
196979.537.1
196879.134.1
196777.532.2
196678.133.1
19657834.9
196473.831.3
196373.130.5
196281.138.8
196182.637
196083.939.3
195981.438.3
195882.139
195780.937.8
19568034.6
195581.638.2
195481.438
195380.635.4
195281.437.6
195182.136.9
195080.736
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearTanzaniaZambia
2015114.895.2–137.472.150.1–93.9
2016108.391.6–125.666.845.9–85.7
2017114.893.6–137.871.449.7–92.5
2018116.497.4–137.173.852.7–94.8
2019113.495.2–133.273.354–97.6
2020119.396.2–143.577.556.9–100.4
2021119.5100.9–147.176.755.7–104.5
2022124.4105.3–147.484.861.6–109.7
2023122.1102.1–147.884.763–108
2024126.2100–150.185.158.2–113.9
2025124.6100.9–15484.957.1–116
2026126.999.1–155.683.658.4–119.4
2027128102.9–147.789.562.5–115.7
2028129.9106.4–152.189.965–118.6
2029134.1111–156.59669.8–122.8
2030129.4106.4–151.19166.7–118.1
2031136.4115.9–158.497.668.2–121.3
2032135.1114–166.894.970.3–122.2
2033135.2110.9–161.998.270.1–123.6
2034134.7112.5–166.397.370.4–135.2
2035140.2114.6–165104.168.4–137.8
2036137.8113.3–165.599.568.7–131.5
2037142.9121.5–168.9107.177.4–139.8
2038147.9124.3–169.3110.383.2–138.8
2039144.3117.6–171.3101.874.3–139.1
2040140.5117–178100.872.5–145.3
2041149.1121.7–175.6113.978.7–147.6
2042146.3120.5–185.3111.379.1–155.1
2043144.6117–173106.678.3–150.6
2044147.7121.2–175.8110.574.3–145.5
2045150.1125.2–183.4109.882.2–148.2
2046161.5128.6–192.2119.485.9–160
2047160.2129.7–194.4123.191.1–159.4
2048158.8132.7–193.1124.590.6–160.2
2049157.6131.1–196124.586.1–167.1
2050159.7127.8–192130.592–166
2051163.2135.5–197.8128.498.1–169.8
2052161.9136.2–199.1130.798.6–170.4
2053160.6127.5–197.7128.488–168.8
2054163.2131.5–200.2132.193–169.6
2055167.4137–208.3132.1100.1–176.1
2056166.4130.8–209.7132.492.7–179.6
2057168134.6–208.3133.298.5–178.5
2058168.7134.9–210.3137.299.2–179.7
2059174.7144.9–219.5139.8105.8–189.5
2060181.7138.1–219.8145.4102.9–191
2061171.8135.5–218.1136.692.8–196.9
2062177.5139.9–224143.9101–194.7
2063181.4140.1–213.8144.5101.7–187.8
2064185.3140.1–215.2147.998.4–180.9
2065183.5141.1–221.8148.6104.3–199.8
2066181.9146.3–219.3152.1109.4–193.6
2067178.8138.8–229.2140.6103.2–195.7
2068186144.2–228.4150.8105.7–200.3
2069183.7141.7–225.3150.5106.3–197
2070180.7140.4–228.2145.8104.7–202.4
2071184.9146.9–235.2153.1112.7–212
2072191.3155–226.1157.2120–195.7
2073191.6152.4–235.6161.5115.2–210.9
2074183.3149.7–231.7149.2115–198.7
2075183.8144.8–233148.2111.5–202.2
2076191.1150.9–233.2150.4112–201.9
2077191.3152.6–238.2156.5120.3–208.3
2078189156.6–233.8157.2122.2–209.5
2079190.5147–237.3156.8118.1–207.3
2080197.3150.7–241.2159.8116–211.9
2081195.6153.4–237.4160.2117.1–208.6
2082194.5157.3–237.3159.6119.6–200.6
2083193.2151–249.8159.5110.7–219.9
2084201.1152.2–246.7166124.3–210.3
2085204.2162.3–252.3172.9126.8–221.1
2086195156–248.7161.9120.6–224.1
2087196.7160.8–244.5158.3129.2–219.6
2088208.4154.7–246.9168.4123.9–218.5
2089201.3158.6–248.2168.5129.9–217.9
2090197.9160.7–253.6165.7124–223.8
2091210161.6–256177.4129.5–227.2
2092205.8158.3–253.6170.6127.8–221.5
2093207.2161.2–251.9173.6123.6–223.3
2094207.9161.3–250.6171.4130.3–220.7
2095214.2166.4–258.5179131.6–228.6
2096205.3159.8–257.4170.8124.8–233.3
2097206.6158.4–256.8167.2122.2–224.3
2098209.1161–258.3172.5131.9–226.9
2099208.5160.1–256171.7126.5–229.1
2100208158.6–258.6171.5124.3–228

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

Tanzania vs Zambia

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