Egypt vs Myanmar (Burma)

Egypt vs Myanmar (Burma): Tropical nights

Tropical nights in 2014: 145 nights in Egypt and 201.9 nights in Myanmar (Burma), in the CMIP6 climate models’ median run. In 2014 the value was higher in Myanmar (Burma), by 56.9 nights, or 1.39 times that in Egypt.

nights a year · CMIP6

Egypt vs Myanmar (Burma): Tropical nightsTropical nights in 2014: 145 nights in Egypt and 201.9 nights in Myanmar (Burma), in the CMIP6 climate models’ median run. In 2014 the value was higher in Myanmar (Burma), by 56.9 nights, or 1.39 times that in Egypt.
EgyptMyanmar (Burma)CMIP6 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 Egypt at 183.4 nights and Myanmar (Burma) at 244.5 nights in 2100.

Every year

nights a year · CMIP6

YearEgyptMyanmar (Burma)
2014145201.9
2013145203.1
2012145.1201.1
2011144.7200.9
2010143.5202.1
2009140.2199
2008142.6198.1
2007140.5196.8
2006139.6198.2
2005140196.7
2004141.3200.3
2003141195.3
2002137.7196.6
2001139199
2000134.8197.2
1999135.5196.4
1998133194.7
1997134194.4
1996132.1191.4
1995130.2189.9
1994129.8188.8
1993123.6185
1992126.1180.5
1991129.7191.7
1990129.7191.5
1989126190.3
1988124.3190.7
1987125.8190.8
1986128.9189.7
1985125.7187.4
1984119.4189.1
1983119.4182.3
1982120.7186.7
1981122.6188.4
1980124.9189
1979119.2189.8
1978122.6186.8
1977121.3187.4
1976123.2185.8
1975121.9183.6
1974123.1185.5
1973123.5187.5
1972120.1184.8
1971120.7185.2
1970119.7184.9
1969118.3184.3
1968119.4183.7
1967116.2182.3
1966116.1186.2
1965112.9182.9
1964116.4180.6
1963120.2183.1
1962118.9187.3
1961118.7188.7
1960123.6187.1
1959123.2186.5
1958120.7187.1
1957122.4186.2
1956122.7187.9
1955119.4185.9
1954120.8185.7
1953121.3185
1952120.7186.1
1951121.2187.1
1950118.8186.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEgyptMyanmar (Burma)
2015149.6131.4–164.2205.2186.4–218.9
2016147.7133.5–160.2202.8186.2–218.8
2017150.8134.8–163.2203.4187.3–218.3
2018147.4133.4–165.6205.5190.9–219.9
2019149.6132.7–164205.2186.7–222.2
2020150.8136.4–164.7208.2188.5–223.5
2021152.1137.8–168.1208.9191.2–224.1
2022154138.1–170.6209.9192.7–224.9
2023154.4139–168.4210.6195.4–226.3
2024155.8141.7–168.5210.4193.8–226.6
2025154.5139.6–168.1209.9190.3–225.2
2026155.1144.5–165.9212.2194.3–229.2
2027154.2139.5–166.3212195.6–228.6
2028154.5141.8–168.6213195.7–227.2
2029156.3139.9–169.5215.3193.9–231.9
2030156.3143.1–169.1212.2194.9–228
2031155.5141.5–171.2214.3197.2–230.8
2032158.3144.6–170.4215199.3–229.6
2033159.9143.8–172.9215.5198.5–230.1
2034159.8144.9–173.2214.9198.4–233.5
2035163.5146.6–175.8214.9199.2–236.8
2036156.2143.7–170.6216198.7–234.5
2037158.8142.9–173.8217.2199.6–233.5
2038164.9146.1–177.8220.7204.8–235.1
2039161.8146.1–180.1219.7202.4–234.3
2040161.6147.9–176.5219.2202.9–235
2041163.7149.4–177.3220.7203.9–237.7
2042166.5149.7–180.6221.8206.1–237.2
2043163.6150.3–176.8219.5201.2–237.1
2044162.2147–178221.4201.6–239.6
2045167.2152.5–181223.7204.8–241.5
2046166149–181.1223.2203.2–240.2
2047165.9151.8–181.5224.3204.8–241.1
2048167.2154.5–180.1226.4207.7–243.8
2049165.3148.7–177.9226.5205.6–242.8
2050170152.8–183227209.3–243.5
2051165.6152.7–179.5229.6212.4–246.4
2052167.3156–180.2227.2208.6–244.2
2053170.1153.6–183.8227.9208.7–247.7
2054169153.3–183227.9209.6–244.8
2055170.5153.5–183.3229.1209.8–247.5
2056168.3151.2–181.4231.8210.4–252.1
2057166.8150.7–185.3228.6208–249
2058171.8154.2–188.2228.9208.8–249
2059173.3157.8–188.6230.7212.1–247.5
2060170.5154.8–189.3234.7211.1–251.5
2061170.3155.1–184.6231.9213–247.7
2062172.1155.2–185.7233.6209.9–252.8
2063169.7152.8–182.6233215.4–250.5
2064172.3155.9–187.2233.2214.4–251.3
2065173.3159.7–189.9230.7210.4–250.7
2066170155–187.7233.5214.3–251.2
2067176.2161.5–190233211.5–253.3
2068174.6157.3–193.1233.1212.4–253.7
2069175.8158.8–191.7236.1214.6–253.4
2070173.3158.3–191.7235.9218.1–253.4
2071176.8158.1–194.7235.1213.5–259.6
2072177.6160.8–192.1234.6216.1–252.6
2073176159.2–189.3237.2219.3–257.2
2074171.9156.5–194.1236.4215.7–254.5
2075171.8157–191.9236.7214.4–255.9
2076177161–194.6237.7216–257
2077179.7157–194.1237.5219–258.7
2078178.4161–195238.5217.3–257.8
2079178.2160.2–193.7238.5219.2–257.2
2080178.5163–193.3240.5218.8–258.3
2081177.2160–192.8240219.7–260.9
2082178.8164.5–193.3239.4217.1–258.8
2083180.6164.4–195.7239.1220.5–259.2
2084181.4162.4–197.8241.3218.9–260.6
2085178.8163–196.7241.7218.8–260.7
2086181.9166.6–198.8241.7217.4–262.7
2087178156.4–194.3241.4220.5–260.9
2088177.8163.5–196241.8222.3–261.5
2089180.9163.5–198.9240.7221.2–262.6
2090179.9162.4–197.8241.3224.4–260.9
2091184.2165.1–198.9242.6220.3–262.5
2092180.3162.9–196.3241.9221.6–263.3
2093181.1166.1–198.2242.1220.2–260
2094185.4168–198.9242.5222.5–261.9
2095181.9165.5–197.3244.9224–264.4
2096183.1163.5–200.3243.9221.1–266.5
2097181.5165.4–198.9243.6219.6–264.2
2098181.7162.1–198.8243.6222.5–263.9
2099179.9164.2–197.8244.7221.8–263.5
2100183.4162.9–198.1244.5223.2–261.8

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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