Nigeria vs Tanzania

Nigeria vs Tanzania: Tropical nights

Tropical nights in 2014: 303.9 nights in Nigeria and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 197.6 nights, or 2.86 times that in Tanzania.

Watch it change on the map

nights a year · CMIP6

Nigeria vs Tanzania: Tropical nightsTropical nights in 2014: 303.9 nights in Nigeria and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 197.6 nights, or 2.86 times that in Tanzania.
NigeriaTanzaniaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Nigeria has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Nigeria at 332.3 nights and Tanzania at 208 nights in 2100.

Every year

nights a year · CMIP6

YearNigeriaTanzania
2014303.9106.3
2013299.5105.5
2012304.4108.4
2011301.5109
2010301.4103.9
2009297.8101.1
2008297.4100.3
200729899.5
2006297.2100.4
2005295.498.7
2004294.1100.4
2003298.499.6
2002295.298.4
2001299.1101.5
2000293.994.9
1999290.394.2
1998289.996.8
1997292.593.5
199629089.6
1995289.188.5
1994287.485.4
199328481.2
1992281.680.1
1991289.189.6
1990290.691.1
1989287.289.1
198828887.6
1987285.688.5
1986289.189.4
1985284.283
1984284.483.1
1983281.982.1
1982283.584.8
1981286.488
1980282.885
197928385.5
1978282.882.9
1977285.984.1
1976281.781
1975280.480.8
1974280.782.2
1973284.383.6
1972284.181.4
1971279.380.7
197028281.8
1969278.779.5
1968279.679.1
1967278.177.5
1966279.478.1
196527978
1964276.873.8
1963275.173.1
1962284.181.1
1961281.982.6
1960285.983.9
1959282.881.4
1958281.482.1
1957283.380.9
1956280.880
1955280.481.6
1954284.181.4
1953280.480.6
1952280.881.4
1951284.282.1
1950279.380.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearNigeriaTanzania
2015301.7282.9–317.3114.895.2–137.4
2016301.4280.8–312.5108.391.6–125.6
2017302.5284.3–316.3114.893.6–137.8
2018302.2286.8–316.5116.497.4–137.1
2019300.1281.2–318113.495.2–133.2
2020303283.7–318.5119.396.2–143.5
2021305.1287.1–318.4119.5100.9–147.1
2022305.1286–319.5124.4105.3–147.4
2023305286.4–318.9122.1102.1–147.8
2024310.6295.1–321.5126.2100–150.1
2025307.5292–319.4124.6100.9–154
2026306.9286.1–322.9126.999.1–155.6
2027307.4288–321.7128102.9–147.7
2028310.7293.4–322.6129.9106.4–152.1
2029311.4293.3–324.4134.1111–156.5
2030310.6294.1–322.5129.4106.4–151.1
2031312.2295–324.8136.4115.9–158.4
2032310290–323.5135.1114–166.8
2033313292.9–327135.2110.9–161.9
2034311.7294.8–325.1134.7112.5–166.3
2035314.5296.7–327.7140.2114.6–165
2036313.5294.1–326.5137.8113.3–165.5
2037315.6297.9–327.1142.9121.5–168.9
2038316.9301.2–329.6147.9124.3–169.3
2039315.4299.4–328.2144.3117.6–171.3
2040315.6297.9–327.4140.5117–178
2041316.8300.6–330.2149.1121.7–175.6
2042316.3300.3–330.3146.3120.5–185.3
2043316298.4–326144.6117–173
2044317.9299.5–329.6147.7121.2–175.8
2045316.6300.5–330.4150.1125.2–183.4
2046317.8302.2–330.7161.5128.6–192.2
2047319.8301.5–333160.2129.7–194.4
2048320.1302.4–331.7158.8132.7–193.1
2049320.7305.3–331.7157.6131.1–196
2050320.9304–335159.7127.8–192
2051321304.1–334.2163.2135.5–197.8
2052320.9303.9–333.5161.9136.2–199.1
2053320.9303.3–334.1160.6127.5–197.7
2054324.5304.5–338.2163.2131.5–200.2
2055322.2308.4–333.7167.4137–208.3
2056324.8305.8–336.3166.4130.8–209.7
2057326310.8–337.3168134.6–208.3
2058322.9307.4–334.2168.7134.9–210.3
2059325.7308.9–339174.7144.9–219.5
2060323.8307.5–337181.7138.1–219.8
2061324.4307.1–338.2171.8135.5–218.1
2062325.7308–339.3177.5139.9–224
2063326.6308.7–337181.4140.1–213.8
2064326.2311–339.8185.3140.1–215.2
2065327.6313.5–339.4183.5141.1–221.8
2066328.4311.3–339.6181.9146.3–219.3
2067326308.4–340.5178.8138.8–229.2
2068329.3311.2–342.9186144.2–228.4
2069326.6309.9–338.1183.7141.7–225.3
2070327.4312.6–340.7180.7140.4–228.2
2071329.1313–341.1184.9146.9–235.2
2072330.3315.9–342.1191.3155–226.1
2073326.3309.5–341191.6152.4–235.6
2074326.7311.4–341.4183.3149.7–231.7
2075328.9314.5–341.8183.8144.8–233
2076329.6313.4–342191.1150.9–233.2
2077332.5314.4–343.3191.3152.6–238.2
2078329.8312.8–342.1189156.6–233.8
2079329.6313.8–340.6190.5147–237.3
2080331.7314.1–344.8197.3150.7–241.2
2081329.3311.6–343.7195.6153.4–237.4
2082329.3313.3–341.4194.5157.3–237.3
2083330.4315–342.2193.2151–249.8
2084330.5311.9–344.2201.1152.2–246.7
2085332.7316.6–343.6204.2162.3–252.3
2086331.9316.3–343.6195156–248.7
2087330.7314.9–342.4196.7160.8–244.5
2088331.7313.2–342.7208.4154.7–246.9
2089331.1318.3–341.9201.3158.6–248.2
2090332.4312.7–343.9197.9160.7–253.6
2091333.3311–345.8210161.6–256
2092332.7313.8–345.7205.8158.3–253.6
2093334.2318.6–344.9207.2161.2–251.9
2094334.2317.3–345.6207.9161.3–250.6
2095333.8319.3–346.3214.2166.4–258.5
2096332.5317.4–346.7205.3159.8–257.4
2097331.8312.6–344.6206.6158.4–256.8
2098332.3316–343.7209.1161–258.3
2099333316.9–344.2208.5160.1–256
2100332.3318.5–345208158.6–258.6

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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