Myanmar (Burma) vs Spain

Myanmar (Burma) vs Spain: Tropical nights

Tropical nights in 2014: 201.9 nights in Myanmar (Burma) and 16.8 nights in Spain, in the CMIP6 climate models’ median run. In 2014 the value was higher in Myanmar (Burma), by 185.1 nights, or 12 times that in Spain.

Watch it change on the map

nights a year · CMIP6

Myanmar (Burma) vs Spain: Tropical nightsTropical nights in 2014: 201.9 nights in Myanmar (Burma) and 16.8 nights in Spain, in the CMIP6 climate models’ median run. In 2014 the value was higher in Myanmar (Burma), by 185.1 nights, or 12 times that in Spain.
Myanmar (Burma)SpainCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Myanmar (Burma) 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 Spain at 51.6 nights in 2100.

Every year

nights a year · CMIP6

YearMyanmar (Burma)Spain
2014201.916.8
2013203.117.9
2012201.116.4
2011200.916.2
2010202.117.5
200919916.2
2008198.116.5
2007196.815.3
2006198.217.6
2005196.716.5
2004200.316.4
2003195.314.5
2002196.614.9
200119915.6
2000197.213.8
1999196.413.9
1998194.713.5
1997194.412.7
1996191.412.9
1995189.911.4
1994188.812.1
199318511
1992180.59.5
1991191.712.3
1990191.513.1
1989190.311.5
1988190.712.3
1987190.811.1
1986189.79.2
1985187.48.9
1984189.18.9
1983182.39.5
1982186.710
1981188.410.1
19801899.6
1979189.810.5
1978186.811.1
1977187.49.7
1976185.88.3
1975183.68.7
1974185.510
1973187.58.9
1972184.89.6
1971185.28.4
1970184.98
1969184.39.2
1968183.79
1967182.38.8
1966186.28.1
1965182.97.6
1964180.610.1
1963183.18.7
1962187.39.5
1961188.79.4
1960187.19.3
1959186.510.2
1958187.19.7
1957186.29.5
1956187.910.5
1955185.910.4
1954185.79.8
19531859
1952186.110.5
1951187.110.2
1950186.911.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMyanmar (Burma)Spain
2015205.2186.4–218.920.413.3–30.2
2016202.8186.2–218.820.113.2–33.4
2017203.4187.3–218.321.313.3–31.1
2018205.5190.9–219.922.815.6–34.2
2019205.2186.7–222.222.714.6–33.6
2020208.2188.5–223.522.314.2–32.8
2021208.9191.2–224.123.114.2–34.2
2022209.9192.7–224.926.515–37.6
2023210.6195.4–226.325.215.5–35.2
2024210.4193.8–226.625.216.8–37
2025209.9190.3–225.224.914–36.5
2026212.2194.3–229.224.814.9–36.8
2027212195.6–228.626.817–38.3
2028213195.7–227.227.315.8–39.5
2029215.3193.9–231.92816–41.8
2030212.2194.9–22827.816.8–38
2031214.3197.2–230.82817–39
2032215199.3–229.629.720.5–40.3
2033215.5198.5–230.128.920–39.2
2034214.9198.4–233.531.419.3–44.8
2035214.9199.2–236.830.619.2–43.3
2036216198.7–234.530.721.4–43.8
2037217.2199.6–233.531.319.8–41.7
2038220.7204.8–235.131.621.5–45
2039219.7202.4–234.331.723–43.8
2040219.2202.9–23530.119–46
2041220.7203.9–237.730.419.5–43.3
2042221.8206.1–237.231.521.5–43.1
2043219.5201.2–237.13219.4–47.6
2044221.4201.6–239.63221.8–45.9
2045223.7204.8–241.534.122.7–47.8
2046223.2203.2–240.233.921.1–47.3
2047224.3204.8–241.134.322.3–49
2048226.4207.7–243.835.723.1–46
2049226.5205.6–242.837.324.6–52.2
2050227209.3–243.537.425.7–52.7
2051229.6212.4–246.436.322.6–51.6
2052227.2208.6–244.238.224.4–51.2
2053227.9208.7–247.736.325.2–51.9
2054227.9209.6–244.83623–53
2055229.1209.8–247.539.126.3–52.3
2056231.8210.4–252.138.227–52.8
2057228.6208–24940.526.6–53.5
2058228.9208.8–24941.827–54.8
2059230.7212.1–247.539.225.5–55.2
2060234.7211.1–251.541.929.2–55
2061231.9213–247.742.629.2–58.6
2062233.6209.9–252.841.429–55.5
2063233215.4–250.545.225.2–59.7
2064233.2214.4–251.342.625.1–57.5
2065230.7210.4–250.740.825.4–61.7
2066233.5214.3–251.24228.9–57.3
2067233211.5–253.345.531.3–61.4
2068233.1212.4–253.741.528.4–58.9
2069236.1214.6–253.44630–59.7
2070235.9218.1–253.445.430.7–63.3
2071235.1213.5–259.645.931.7–62.2
2072234.6216.1–252.647.130.2–62.5
2073237.2219.3–257.246.630.5–63.8
2074236.4215.7–254.543.429.5–61.4
2075236.7214.4–255.945.529–60.5
2076237.7216–25746.930.2–64.9
2077237.5219–258.746.129.6–63
2078238.5217.3–257.84729.9–67.3
2079238.5219.2–257.243.731.4–63.5
2080240.5218.8–258.346.830–63.9
2081240219.7–260.94733.2–65
2082239.4217.1–258.84834.3–63.4
2083239.1220.5–259.249.932.4–65.9
2084241.3218.9–260.649.234.7–65.4
2085241.7218.8–260.75037.5–66
2086241.7217.4–262.75133.7–67.6
2087241.4220.5–260.95236–70.2
2088241.8222.3–261.552.133.4–72.5
2089240.7221.2–262.650.936.8–67.7
2090241.3224.4–260.952.832.7–72.3
2091242.6220.3–262.554.133.4–70
2092241.9221.6–263.351.532.8–66.4
2093242.1220.2–26048.734.9–66.7
2094242.5222.5–261.950.331.4–70.1
2095244.9224–264.452.733.7–72.2
2096243.9221.1–266.554.134.9–72.5
2097243.6219.6–264.253.136.1–71.9
2098243.6222.5–263.95234.3–70.7
2099244.7221.8–263.555.737–70.7
2100244.5223.2–261.851.634.3–71.2

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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