Niger vs Zimbabwe

Niger vs Zimbabwe: Tropical nights

Tropical nights in 2014: 221.6 nights in Niger and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Niger, by 145.2 nights, or 2.9 times that in Zimbabwe.

nights a year · CMIP6

Niger vs Zimbabwe: Tropical nightsTropical nights in 2014: 221.6 nights in Niger and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Niger, by 145.2 nights, or 2.9 times that in Zimbabwe.
NigerZimbabweCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Niger has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Niger at 251.1 nights and Zimbabwe at 148.3 nights in 2100.

Every year

nights a year · CMIP6

YearNigerZimbabwe
2014221.676.4
2013216.178.4
2012220.875.9
2011220.173.3
2010219.171.5
2009217.269.6
2008216.869.8
2007216.969.3
2006214.370.3
2005213.669.5
2004213.671.8
2003215.572.9
2002214.671.3
2001213.471.3
2000211.267.4
1999210.462.3
1998207.766.3
1997211.562
1996208.657.7
1995208.358.9
1994207.856.8
1993202.650.1
1992203.452.1
1991209.458.7
1990208.161.5
198920660.4
198820361.6
1987204.957.3
1986206.858.6
1985203.954.1
1984201.854.6
1983200.553.3
1982201.953.7
1981204.357
1980200.657.3
1979200.556.2
197820253.1
1977203.855.2
1976201.751.2
197519953.6
1974200.654.2
1973202.653.9
1972200.753.2
1971200.851.1
1970199.853.1
1969196.153.3
1968200.348.7
1967196.648.7
1966198.248.8
196519948.6
1964199.244.6
1963196.747.4
1962201.155.8
1961198.251.6
1960203.255.6
1959201.653.6
1958199.255.3
1957201.153.2
1956199.648.6
1955199.754.4
1954201.153
1953196.551.8
1952197.952.7
1951199.852.3
1950200.851.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearNigerZimbabwe
2015218.8202.8–235.879.463.5–98.5
2016217.7201.8–230.678.657.9–101.7
2017222.4205.2–237.481.263.3–98.5
2018220.5206.3–238.882.160.5–104.1
2019219.1201.8–238.182.863.9–102.3
2020220.9206.9–234.784.362.9–106.9
2021222.8208.2–240.282.564.7–102.7
2022226.3209.7–239.289.870.1–108.8
2023223.2206.6–238.490.672.5–110.7
2024228.4214.3–242.993.769.8–113.4
2025226.7211.2–2418865.1–114.6
2026226.3210–243.189.767.8–113.9
2027228.5209.9–241.195.668.4–119.6
2028227.1211.9–240.293.371.4–115.7
2029230.4213.3–247.1100.277.2–120
2030226.4211.6–242.29671.6–115.3
2031230.1210.8–247.19874.9–119.8
2032228.7212.3–24198.574.7–118.5
2033229.9214.9–245.498.974–120.6
2034229.5212.1–244.9100.277.3–128.1
2035232.3217.5–248103.975.7–130.6
2036230.2213.7–244.6100.878–123
2037233.2215.1–246.510882.1–131.1
2038234.3218.2–249.7110.986.5–135
2039231214.2–247.1102.480.4–122.3
2040230.8214.8–247.5101.379.5–133.5
2041232.6218.6–252.9108.483.7–134.2
2042233.8216.2–250.5108.883.1–139.9
2043232.5217.8–245.8107.985.7–137.3
2044233.8218.2–250.1111.287–134.8
2045233.6218.1–249.7106.186.2–130.7
2046234.3217–250.2112.386.4–139.1
2047238.4224.3–253.1119.692.1–145.9
2048238221.4–254116.888.4–143.9
2049237.7217.4–253119.290.4–146.2
2050238.2220.7–254.5122.794.1–148.6
2051236.3220.6–254.7122.4100.9–147.7
2052239.5224.3–255.8124.2101.3–152.8
2053236.3223.9–255.6121.689–146.9
2054239.4220.2–257.9123.993.9–150.8
2055238.6223.7–254.7126.597.9–153.7
2056239214.7–260.3126.198–154.7
2057240.4223–256.3122.797.6–150.7
2058238.2220.2–255.7125.3103–154.1
2059243.9224.6–262.7132.2107.4–157.4
2060239.8222.6–260132.599.9–159
2061242.5224.9–258.5126.694.2–161.1
2062241.6222.4–259.8126.399.6–157.3
2063241.3220.9–255.2127.7101–159.7
2064244.4225.9–259.5130.498–151.3
2065242.8226.5–262.4132.4107.6–165.6
2066245.6227–263.5134.5106.8–159.8
2067240.7224.9–262125.598.9–160.5
2068244224.3–265.4134102.3–166.1
2069243.9225.5–261.6136.9106.4–164.2
2070243.1225.6–261.3133.199.8–166.3
2071246.1230.3–264135.2108.4–173.7
2072247.9229.9–263.7140.4110.6–166.8
2073243.4225.4–262.8140.9109.7–173.6
2074243.2224.4–264.6135.5112–170.6
2075244.3230.2–263.3136108.5–166.6
2076246.5228.5–266.6133.7105.9–163.7
2077250.1232.3–267.4140.2114.3–170.6
2078249.2230.8–264.5137.5111.3–172.3
2079244.4228.7–263.8136.9110.2–172.6
2080248.8230.4–267145115.8–173.2
2081247227.8–268.1147.2106.5–174.1
2082247230.6–264.4141.4111.4–169.9
2083247.3230.7–267.5143.6106.5–179.2
2084247.7229.4–265.2149.4117.3–176.9
2085248.9227–264.2154.3114.9–182.7
2086250.4230.9–269.5141.7115.3–176.1
2087245.8226.2–266.9142.7116.8–177.3
2088248.3226.7–271.1150.2118.3–178.9
2089251.9232.5–269.5148.9121.3–176.4
2090249.7227.7–267.4145.7113.7–179.4
2091248.9230.5–272.2149.7116.5–181.8
2092251229.8–274149.4119.7–181.7
2093249.9234.8–267152.5117.1–184.1
2094252.2234–267.5150.9117.3–182.2
2095251.1233–270.7155118.3–181.5
2096250.8234.8–270.4152.4113.1–189.2
2097250.2227.8–270.8144.1113.8–183.3
2098250.1228.1–268.5152.4119.2–187
2099251.9232.2–268.2152.9117.3–185
2100251.1234.5–271.5148.3120.1–184.6

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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