Myanmar (Burma) vs Nigeria

Myanmar (Burma) vs Nigeria: Tropical nights

Tropical nights in 2014: 201.9 nights in Myanmar (Burma) and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 102 nights, or 1.51 times that in Myanmar (Burma).

nights a year · CMIP6

Myanmar (Burma) vs Nigeria: Tropical nightsTropical nights in 2014: 201.9 nights in Myanmar (Burma) and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 102 nights, or 1.51 times that in Myanmar (Burma).
Myanmar (Burma)NigeriaCMIP6 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 Myanmar (Burma) at 244.5 nights and Nigeria at 332.3 nights in 2100.

Every year

nights a year · CMIP6

YearMyanmar (Burma)Nigeria
2014201.9303.9
2013203.1299.5
2012201.1304.4
2011200.9301.5
2010202.1301.4
2009199297.8
2008198.1297.4
2007196.8298
2006198.2297.2
2005196.7295.4
2004200.3294.1
2003195.3298.4
2002196.6295.2
2001199299.1
2000197.2293.9
1999196.4290.3
1998194.7289.9
1997194.4292.5
1996191.4290
1995189.9289.1
1994188.8287.4
1993185284
1992180.5281.6
1991191.7289.1
1990191.5290.6
1989190.3287.2
1988190.7288
1987190.8285.6
1986189.7289.1
1985187.4284.2
1984189.1284.4
1983182.3281.9
1982186.7283.5
1981188.4286.4
1980189282.8
1979189.8283
1978186.8282.8
1977187.4285.9
1976185.8281.7
1975183.6280.4
1974185.5280.7
1973187.5284.3
1972184.8284.1
1971185.2279.3
1970184.9282
1969184.3278.7
1968183.7279.6
1967182.3278.1
1966186.2279.4
1965182.9279
1964180.6276.8
1963183.1275.1
1962187.3284.1
1961188.7281.9
1960187.1285.9
1959186.5282.8
1958187.1281.4
1957186.2283.3
1956187.9280.8
1955185.9280.4
1954185.7284.1
1953185280.4
1952186.1280.8
1951187.1284.2
1950186.9279.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMyanmar (Burma)Nigeria
2015205.2186.4–218.9301.7282.9–317.3
2016202.8186.2–218.8301.4280.8–312.5
2017203.4187.3–218.3302.5284.3–316.3
2018205.5190.9–219.9302.2286.8–316.5
2019205.2186.7–222.2300.1281.2–318
2020208.2188.5–223.5303283.7–318.5
2021208.9191.2–224.1305.1287.1–318.4
2022209.9192.7–224.9305.1286–319.5
2023210.6195.4–226.3305286.4–318.9
2024210.4193.8–226.6310.6295.1–321.5
2025209.9190.3–225.2307.5292–319.4
2026212.2194.3–229.2306.9286.1–322.9
2027212195.6–228.6307.4288–321.7
2028213195.7–227.2310.7293.4–322.6
2029215.3193.9–231.9311.4293.3–324.4
2030212.2194.9–228310.6294.1–322.5
2031214.3197.2–230.8312.2295–324.8
2032215199.3–229.6310290–323.5
2033215.5198.5–230.1313292.9–327
2034214.9198.4–233.5311.7294.8–325.1
2035214.9199.2–236.8314.5296.7–327.7
2036216198.7–234.5313.5294.1–326.5
2037217.2199.6–233.5315.6297.9–327.1
2038220.7204.8–235.1316.9301.2–329.6
2039219.7202.4–234.3315.4299.4–328.2
2040219.2202.9–235315.6297.9–327.4
2041220.7203.9–237.7316.8300.6–330.2
2042221.8206.1–237.2316.3300.3–330.3
2043219.5201.2–237.1316298.4–326
2044221.4201.6–239.6317.9299.5–329.6
2045223.7204.8–241.5316.6300.5–330.4
2046223.2203.2–240.2317.8302.2–330.7
2047224.3204.8–241.1319.8301.5–333
2048226.4207.7–243.8320.1302.4–331.7
2049226.5205.6–242.8320.7305.3–331.7
2050227209.3–243.5320.9304–335
2051229.6212.4–246.4321304.1–334.2
2052227.2208.6–244.2320.9303.9–333.5
2053227.9208.7–247.7320.9303.3–334.1
2054227.9209.6–244.8324.5304.5–338.2
2055229.1209.8–247.5322.2308.4–333.7
2056231.8210.4–252.1324.8305.8–336.3
2057228.6208–249326310.8–337.3
2058228.9208.8–249322.9307.4–334.2
2059230.7212.1–247.5325.7308.9–339
2060234.7211.1–251.5323.8307.5–337
2061231.9213–247.7324.4307.1–338.2
2062233.6209.9–252.8325.7308–339.3
2063233215.4–250.5326.6308.7–337
2064233.2214.4–251.3326.2311–339.8
2065230.7210.4–250.7327.6313.5–339.4
2066233.5214.3–251.2328.4311.3–339.6
2067233211.5–253.3326308.4–340.5
2068233.1212.4–253.7329.3311.2–342.9
2069236.1214.6–253.4326.6309.9–338.1
2070235.9218.1–253.4327.4312.6–340.7
2071235.1213.5–259.6329.1313–341.1
2072234.6216.1–252.6330.3315.9–342.1
2073237.2219.3–257.2326.3309.5–341
2074236.4215.7–254.5326.7311.4–341.4
2075236.7214.4–255.9328.9314.5–341.8
2076237.7216–257329.6313.4–342
2077237.5219–258.7332.5314.4–343.3
2078238.5217.3–257.8329.8312.8–342.1
2079238.5219.2–257.2329.6313.8–340.6
2080240.5218.8–258.3331.7314.1–344.8
2081240219.7–260.9329.3311.6–343.7
2082239.4217.1–258.8329.3313.3–341.4
2083239.1220.5–259.2330.4315–342.2
2084241.3218.9–260.6330.5311.9–344.2
2085241.7218.8–260.7332.7316.6–343.6
2086241.7217.4–262.7331.9316.3–343.6
2087241.4220.5–260.9330.7314.9–342.4
2088241.8222.3–261.5331.7313.2–342.7
2089240.7221.2–262.6331.1318.3–341.9
2090241.3224.4–260.9332.4312.7–343.9
2091242.6220.3–262.5333.3311–345.8
2092241.9221.6–263.3332.7313.8–345.7
2093242.1220.2–260334.2318.6–344.9
2094242.5222.5–261.9334.2317.3–345.6
2095244.9224–264.4333.8319.3–346.3
2096243.9221.1–266.5332.5317.4–346.7
2097243.6219.6–264.2331.8312.6–344.6
2098243.6222.5–263.9332.3316–343.7
2099244.7221.8–263.5333316.9–344.2
2100244.5223.2–261.8332.3318.5–345

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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