Nigeria vs Switzerland

Nigeria vs Switzerland: Tropical nights

Tropical nights in 2014: 303.9 nights in Nigeria and 0.2 nights in Switzerland, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 303.7 nights, or 1,300 times that in Switzerland.

NigeriaSwitzerland
Watch it change on the map

nights a year · CMIP6

All yearsSince 1990Since 2010
ValuesChange
LinearLog
Projection
Nigeria vs Switzerland: Tropical nightsTropical nights in 2014: 303.9 nights in Nigeria and 0.2 nights in Switzerland, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 303.7 nights, or 1,300 times that in Switzerland.
NigeriaSwitzerlandCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

Latest figures

nights a year · CMIP6

CountryLatest10 years beforeProjected
Nigeria303.9 2014294.1332.3 2100
Switzerland0.2 20140.13.8 2100

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 Switzerland at 3.8 nights in 2100.

Every year

nights a year · CMIP6

YearNigeriaSwitzerland
2014303.90.2
2013299.50.1
2012304.40.1
2011301.50.1
2010301.40.1
2009297.80.1
2008297.40.1
20072980
2006297.20
2005295.40.1
2004294.10.1
2003298.40.1
2002295.20.1
2001299.10.1
2000293.90
1999290.30
1998289.90
1997292.50
19962900
1995289.10
1994287.40
19932840
1992281.60
1991289.10
1990290.60
1989287.20
19882880
1987285.60
1986289.10
1985284.20
1984284.40
1983281.90
1982283.50
1981286.40
1980282.80
19792830
1978282.80
1977285.90
1976281.70
1975280.40
1974280.70
1973284.30
1972284.10
1971279.30
19702820
1969278.70
1968279.60
1967278.10
1966279.40
19652790
1964276.80
1963275.10
1962284.10
1961281.90
1960285.90
1959282.80
1958281.40
1957283.30
1956280.80
1955280.40
1954284.10
1953280.40
1952280.80
1951284.20
1950279.30
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearNigeriaSwitzerland
2015301.7282.9–317.30.10–1.1
2016301.4280.8–312.50.20–1.3
2017302.5284.3–316.30.20–1.5
2018302.2286.8–316.50.10–1.3
2019300.1281.2–3180.30–1.4
2020303283.7–318.50.10–1.4
2021305.1287.1–318.40.30–2.2
2022305.1286–319.50.30–2.1
2023305286.4–318.90.30–1.9
2024310.6295.1–321.50.40–1.5
2025307.5292–319.40.40–1.9
2026306.9286.1–322.90.50–1.9
2027307.4288–321.70.30–1.6
2028310.7293.4–322.60.50–1.9
2029311.4293.3–324.40.80–2.2
2030310.6294.1–322.50.30–2.4
2031312.2295–324.80.40–1.4
2032310290–323.50.60.1–2.4
2033313292.9–3270.60–3.2
2034311.7294.8–325.10.70.1–3.3
2035314.5296.7–327.70.70.1–2.4
2036313.5294.1–326.50.80–2.7
2037315.6297.9–327.10.60.1–2.7
2038316.9301.2–329.60.80–2.9
2039315.4299.4–328.20.90–2.6
2040315.6297.9–327.40.90–2.6
2041316.8300.6–330.210–2.9
2042316.3300.3–330.30.80.1–2.8
2043316298.4–32610.1–2.7
2044317.9299.5–329.60.80.1–3.3
2045316.6300.5–330.41.20–3.5
2046317.8302.2–330.71.20.2–3.8
2047319.8301.5–3331.50.1–3.8
2048320.1302.4–331.710.1–4.6
2049320.7305.3–331.71.60.1–4.2
2050320.9304–3351.20.3–3.5
2051321304.1–334.210–4
2052320.9303.9–333.51.40.1–3.9
2053320.9303.3–334.10.80.1–3.8
2054324.5304.5–338.21.40.2–3.5
2055322.2308.4–333.71.30.1–3.4
2056324.8305.8–336.31.40.2–6.5
2057326310.8–337.31.70.2–3.7
2058322.9307.4–334.22.10.2–5.5
2059325.7308.9–3391.80.1–7.1
2060323.8307.5–3371.60.4–5.6
2061324.4307.1–338.21.90.1–4.9
2062325.7308–339.32.30.3–5
2063326.6308.7–3372.20.2–5.9
2064326.2311–339.820.3–5
2065327.6313.5–339.420.1–7.4
2066328.4311.3–339.620.3–5.5
2067326308.4–340.53.80.8–10
2068329.3311.2–342.92.20.2–4.9
2069326.6309.9–338.12.60.7–5.9
2070327.4312.6–340.72.60.3–7.1
2071329.1313–341.12.90.1–7.8
2072330.3315.9–342.12.91.2–6.5
2073326.3309.5–34120.3–7
2074326.7311.4–341.41.70.2–7.6
2075328.9314.5–341.82.40.4–7.7
2076329.6313.4–3422.80.5–10.6
2077332.5314.4–343.32.40.5–8.8
2078329.8312.8–342.12.20.3–8.1
2079329.6313.8–340.62.60.4–8.5
2080331.7314.1–344.82.90.3–6.6
2081329.3311.6–343.72.90.5–8.3
2082329.3313.3–341.43.30.4–8.9
2083330.4315–342.22.50.5–7.9
2084330.5311.9–344.22.60.6–6.1
2085332.7316.6–343.630.9–7.7
2086331.9316.3–343.63.40.7–8.7
2087330.7314.9–342.44.10.5–10.4
2088331.7313.2–342.73.60.8–11.7
2089331.1318.3–341.93.61.1–9
2090332.4312.7–343.93.60.6–9.5
2091333.3311–345.840.7–9.8
2092332.7313.8–345.73.10.2–9.4
2093334.2318.6–344.92.70.7–7.8
2094334.2317.3–345.64.21.2–9.2
2095333.8319.3–346.33.90.2–11.4
2096332.5317.4–346.73.10.2–10
2097331.8312.6–344.62.80.2–10.3
2098332.3316–343.73.80.7–10.2
2099333316.9–344.23.90.4–10.7
2100332.3318.5–3453.80.8–11.7

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