Benin vs Niger

Benin vs Niger: Tropical nights

Tropical nights in 2014: 333.9 nights in Benin and 221.6 nights in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Benin, by 112.3 nights, or 1.51 times that in Niger.

nights a year · CMIP6

Benin vs Niger: Tropical nightsTropical nights in 2014: 333.9 nights in Benin and 221.6 nights in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Benin, by 112.3 nights, or 1.51 times that in Niger.
BeninNigerCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Benin has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Benin at 359.6 nights and Niger at 251.1 nights in 2100.

Every year

nights a year · CMIP6

YearBeninNiger
2014333.9221.6
2013328.9216.1
2012332.6220.8
2011330.1220.1
2010329.8219.1
2009325.2217.2
2008326.4216.8
2007325.2216.9
2006326.1214.3
2005324.3213.6
2004322.7213.6
2003327.4215.5
2002324214.6
2001329.4213.4
2000322.4211.2
1999317.9210.4
1998319.1207.7
1997320.6211.5
1996315.5208.6
1995316.5208.3
1994314.3207.8
1993313.5202.6
1992309.8203.4
1991316.1209.4
1990320.6208.1
1989313.1206
1988313.6203
1987313.3204.9
1986317.1206.8
1985314.6203.9
1984311.8201.8
1983308.8200.5
1982309.3201.9
1981314.8204.3
1980310.2200.6
1979311.9200.5
1978310202
1977314.4203.8
1976309.1201.7
1975307.3199
1974307.9200.6
1973311.8202.6
1972310.1200.7
1971305.9200.8
1970309.7199.8
1969305.9196.1
1968305.6200.3
1967305.6196.6
1966305.4198.2
1965306.1199
1964304.6199.2
1963304.6196.7
1962311.6201.1
1961307.4198.2
1960312.1203.2
1959312.4201.6
1958306.8199.2
1957311.8201.1
1956308.2199.6
1955308.6199.7
1954311.3201.1
1953307.4196.5
1952305.5197.9
1951309.4199.8
1950304.7200.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBeninNiger
2015328.6309.6–343.6218.8202.8–235.8
2016330.8309.8–342.5217.7201.8–230.6
2017330311.6–342.9222.4205.2–237.4
2018331.2315.3–345.2220.5206.3–238.8
2019328.1308–346.4219.1201.8–238.1
2020330.1308.7–348.1220.9206.9–234.7
2021332.7314.3–347.2222.8208.2–240.2
2022334.9314.5–347.9226.3209.7–239.2
2023331.8310.2–346.4223.2206.6–238.4
2024340.3323.4–351.1228.4214.3–242.9
2025335315.9–346.3226.7211.2–241
2026335.9313.3–353.1226.3210–243.1
2027335.8315.2–349.1228.5209.9–241.1
2028340.1321.3–351.9227.1211.9–240.2
2029338.6323.1–350.8230.4213.3–247.1
2030339.7321.7–350226.4211.6–242.2
2031343.8323.3–354.6230.1210.8–247.1
2032340.8318.1–351.4228.7212.3–241
2033343.1320.1–354.4229.9214.9–245.4
2034339.8319.2–352.6229.5212.1–244.9
2035342.7322–354.2232.3217.5–248
2036341.8320.2–355.2230.2213.7–244.6
2037344324.8–353.5233.2215.1–246.5
2038346.6334.6–355.1234.3218.2–249.7
2039344.5327.1–355.1231214.2–247.1
2040346327.6–355.8230.8214.8–247.5
2041345.5331.9–357.4232.6218.6–252.9
2042343.9328.1–358.9233.8216.2–250.5
2043345.7326.6–355.4232.5217.8–245.8
2044347.3329.7–358.8233.8218.2–250.1
2045342.6328–358.9233.6218.1–249.7
2046347.9332.2–357.8234.3217–250.2
2047349.6330.6–358.7238.4224.3–253.1
2048349.8334.6–358.1238221.4–254
2049350.7333.4–359.3237.7217.4–253
2050351334–360.2238.2220.7–254.5
2051350338.1–359.9236.3220.6–254.7
2052348.6332.5–359.5239.5224.3–255.8
2053351.3331.1–359.3236.3223.9–255.6
2054353.3336.1–360.3239.4220.2–257.9
2055350.7336.5–359.7238.6223.7–254.7
2056353.4337.9–362239214.7–260.3
2057355339.4–361.3240.4223–256.3
2058352.5338–360.1238.2220.2–255.7
2059354.9338.8–361.9243.9224.6–262.7
2060353.2337.9–360.9239.8222.6–260
2061353.8331.6–362242.5224.9–258.5
2062353.5334.3–361.4241.6222.4–259.8
2063355.1335.9–361.9241.3220.9–255.2
2064353.9338–363.1244.4225.9–259.5
2065355.3343.1–362.4242.8226.5–262.4
2066352.4339.8–360.1245.6227–263.5
2067355.7336.9–362.9240.7224.9–262
2068357.5341.2–363.6244224.3–265.4
2069353.4339.4–362.3243.9225.5–261.6
2070354.4341–361.7243.1225.6–261.3
2071356.4338.9–362.8246.1230.3–264
2072357.8343.2–363.8247.9229.9–263.7
2073356.1339.2–362.4243.4225.4–262.8
2074355.1339–362.4243.2224.4–264.6
2075356.2344.1–363.5244.3230.2–263.3
2076357343.3–362.6246.5228.5–266.6
2077357.3343.8–363.1250.1232.3–267.4
2078357.9344.2–363.3249.2230.8–264.5
2079357.3347.1–362.8244.4228.7–263.8
2080358.9344.5–365.3248.8230.4–267
2081357.1341.4–363.9247227.8–268.1
2082357.1341.9–362.2247230.6–264.4
2083358.4346.7–363.4247.3230.7–267.5
2084357.9343.1–364.6247.7229.4–265.2
2085359.5346–364.2248.9227–264.2
2086359.2344.3–364.1250.4230.9–269.5
2087357.6343.8–364.2245.8226.2–266.9
2088358.5341.9–364.2248.3226.7–271.1
2089357.1346.7–363.7251.9232.5–269.5
2090359.7343.6–363.8249.7227.7–267.4
2091358.6342.2–364.1248.9230.5–272.2
2092359.3342.5–364.9251229.8–274
2093360.3348–364.4249.9234.8–267
2094359347.2–364.5252.2234–267.5
2095358.6345.9–364.3251.1233–270.7
2096359.2344.5–365.5250.8234.8–270.4
2097358.4343.3–363.8250.2227.8–270.8
2098358.2346.2–363.8250.1228.1–268.5
2099358344.6–363.9251.9232.2–268.2
2100359.6348.3–364.5251.1234.5–271.5

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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