Myanmar (Burma) vs Sudan

Myanmar (Burma) vs Sudan: Tropical nights

Tropical nights in 2014: 201.9 nights in Myanmar (Burma) and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 40.5 nights, or 1.2 times that in Myanmar (Burma).

nights a year · CMIP6

Myanmar (Burma) vs Sudan: Tropical nightsTropical nights in 2014: 201.9 nights in Myanmar (Burma) and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 40.5 nights, or 1.2 times that in Myanmar (Burma).
Myanmar (Burma)SudanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Sudan 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 Sudan at 278.6 nights in 2100.

Every year

nights a year · CMIP6

YearMyanmar (Burma)Sudan
2014201.9242.4
2013203.1240
2012201.1242
2011200.9242.2
2010202.1240.6
2009199236.5
2008198.1237.1
2007196.8236
2006198.2235.3
2005196.7233.1
2004200.3233.5
2003195.3235.6
2002196.6234.7
2001199235.4
2000197.2230.5
1999196.4232.1
1998194.7230.2
1997194.4231.1
1996191.4227.3
1995189.9227.8
1994188.8225.3
1993185219.1
1992180.5217.8
1991191.7227.3
1990191.5227.5
1989190.3223
1988190.7223.1
1987190.8224.4
1986189.7226.4
1985187.4222.1
1984189.1220.7
1983182.3217
1982186.7216.3
1981188.4223.2
1980189220
1979189.8218.4
1978186.8218.5
1977187.4219.3
1976185.8220.1
1975183.6215.7
1974185.5217.5
1973187.5220
1972184.8217.9
1971185.2215.5
1970184.9217
1969184.3213.1
1968183.7214
1967182.3210.3
1966186.2213.3
1965182.9213.4
1964180.6213.2
1963183.1210.1
1962187.3217
1961188.7216.9
1960187.1221.3
1959186.5217.8
1958187.1216.2
1957186.2218.9
1956187.9217.2
1955185.9216.6
1954185.7218.9
1953185215.1
1952186.1216.4
1951187.1218.5
1950186.9214.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMyanmar (Burma)Sudan
2015205.2186.4–218.9242.3225.3–258.3
2016202.8186.2–218.8241.4223.3–254.1
2017203.4187.3–218.3243.2223–259.1
2018205.5190.9–219.9242.3226.4–258.5
2019205.2186.7–222.2243.1221.7–260.4
2020208.2188.5–223.5244.9225.9–261.7
2021208.9191.2–224.1245.6229.1–261.5
2022209.9192.7–224.9249230.9–262.3
2023210.6195.4–226.3247.1226.8–263.1
2024210.4193.8–226.6251.5232.8–266.1
2025209.9190.3–225.2250.7232.4–265.6
2026212.2194.3–229.2250230.8–266.6
2027212195.6–228.6248.8228.4–265.6
2028213195.7–227.2249232.2–263.1
2029215.3193.9–231.9251.4232.1–266
2030212.2194.9–228252235.4–266.7
2031214.3197.2–230.8253.3234.4–268.9
2032215199.3–229.6250.4232.3–266.6
2033215.5198.5–230.1254.4235.3–269.4
2034214.9198.4–233.5254.2234.5–269.9
2035214.9199.2–236.8258.3240.2–273.6
2036216198.7–234.5252.8235.6–268.6
2037217.2199.6–233.5256.7238.6–271.8
2038220.7204.8–235.1258.7244.8–272.1
2039219.7202.4–234.3259.5241.2–272.5
2040219.2202.9–235256.4236.7–272.3
2041220.7203.9–237.7259.1241.2–274.5
2042221.8206.1–237.2258.7242–274.7
2043219.5201.2–237.1258.1240.3–272.6
2044221.4201.6–239.6257.3238.6–274.7
2045223.7204.8–241.5258.8243.1–276.2
2046223.2203.2–240.2261.1241.7–277.6
2047224.3204.8–241.1261.4244.6–278.4
2048226.4207.7–243.8260.4243.4–279.5
2049226.5205.6–242.8261.9242.6–275.9
2050227209.3–243.5263.5245.4–279
2051229.6212.4–246.4263.6246.6–278.8
2052227.2208.6–244.2263.8248.7–278.3
2053227.9208.7–247.7262.8242.4–279.2
2054227.9209.6–244.8266.3246.6–282.9
2055229.1209.8–247.5265.6245.9–281.4
2056231.8210.4–252.1264.1242.6–281.5
2057228.6208–249266.4247.6–283.4
2058228.9208.8–249265.2247.4–280.3
2059230.7212.1–247.5268.4249.6–285.4
2060234.7211.1–251.5263.6246.7–284.4
2061231.9213–247.7266.9250.1–281.9
2062233.6209.9–252.8266.4248.5–285
2063233215.4–250.5267.1246.9–283.4
2064233.2214.4–251.3269250.7–284.7
2065230.7210.4–250.7269.8253.9–285.6
2066233.5214.3–251.2271.4251.9–287.3
2067233211.5–253.3270.9250–288.4
2068233.1212.4–253.7271.9251.7–289.8
2069236.1214.6–253.4268251.1–286.2
2070235.9218.1–253.4269252.3–285.8
2071235.1213.5–259.6275.5254.1–290.4
2072234.6216.1–252.6273.3254.2–289.4
2073237.2219.3–257.2271.9250.7–287.6
2074236.4215.7–254.5270.9249–290.1
2075236.7214.4–255.9273.1254–291.9
2076237.7216–257272.7255.2–290.9
2077237.5219–258.7274.6255.2–292.7
2078238.5217.3–257.8274.3255.6–291.2
2079238.5219.2–257.2272255.2–288.5
2080240.5218.8–258.3276.6256–292.2
2081240219.7–260.9275.1254.1–294.8
2082239.4217.1–258.8272.9258.7–288.6
2083239.1220.5–259.2276.5258–291.7
2084241.3218.9–260.6275.4253–294.9
2085241.7218.8–260.7275.3258.6–291.6
2086241.7217.4–262.7276.4256.9–296.6
2087241.4220.5–260.9273.5253.1–293.3
2088241.8222.3–261.5273.6253.7–293.6
2089240.7221.2–262.6276.5256.6–293.4
2090241.3224.4–260.9276.6256.4–294.6
2091242.6220.3–262.5277.4256.4–296.6
2092241.9221.6–263.3274.6254.3–294.9
2093242.1220.2–260278261.9–292.1
2094242.5222.5–261.9280.3262.2–294
2095244.9224–264.4277.5262.6–294
2096243.9221.1–266.5279.7258.7–297
2097243.6219.6–264.2276.3254.1–297.6
2098243.6222.5–263.9277.7258.2–295.5
2099244.7221.8–263.5276.8257.2–296.2
2100244.5223.2–261.8278.6259–294.3

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

Myanmar (Burma) vs Sudan

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment