Myanmar (Burma) vs Pakistan

Myanmar (Burma) vs Pakistan: Tropical nights

Tropical nights in 2014: 201.9 nights in Myanmar (Burma) and 149.9 nights in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Myanmar (Burma), by 52 nights, or 1.35 times that in Pakistan.

nights a year · CMIP6

Myanmar (Burma) vs Pakistan: Tropical nightsTropical nights in 2014: 201.9 nights in Myanmar (Burma) and 149.9 nights in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Myanmar (Burma), by 52 nights, or 1.35 times that in Pakistan.
Myanmar (Burma)PakistanCMIP6 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 Pakistan at 177.6 nights in 2100.

Every year

nights a year · CMIP6

YearMyanmar (Burma)Pakistan
2014201.9149.9
2013203.1149.1
2012201.1149.9
2011200.9149
2010202.1148.4
2009199147.1
2008198.1147.4
2007196.8147.3
2006198.2146.7
2005196.7146.5
2004200.3147.5
2003195.3146
2002196.6148.3
2001199145.4
2000197.2144.7
1999196.4146.9
1998194.7144.8
1997194.4143.2
1996191.4141.2
1995189.9141.8
1994188.8142.1
1993185140.4
1992180.5139.9
1991191.7142.5
1990191.5142.6
1989190.3142.5
1988190.7140.3
1987190.8140
1986189.7140
1985187.4140
1984189.1138.9
1983182.3136.3
1982186.7138.5
1981188.4141.5
1980189139.5
1979189.8139.1
1978186.8139
1977187.4138.6
1976185.8139.2
1975183.6136.5
1974185.5138.7
1973187.5137.8
1972184.8137.4
1971185.2136
1970184.9137.7
1969184.3135.9
1968183.7136.6
1967182.3135.2
1966186.2136.9
1965182.9138.3
1964180.6135.1
1963183.1135.7
1962187.3137
1961188.7138.6
1960187.1139
1959186.5138.6
1958187.1137.7
1957186.2140
1956187.9137.8
1955185.9137.5
1954185.7137.8
1953185136.9
1952186.1138.1
1951187.1136.7
1950186.9139.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMyanmar (Burma)Pakistan
2015205.2186.4–218.9152.4138.7–163.3
2016202.8186.2–218.8150.6139.4–161.7
2017203.4187.3–218.3151.3138.8–162
2018205.5190.9–219.9152.6139.8–161.8
2019205.2186.7–222.2151.8138.1–163.3
2020208.2188.5–223.5153.1140.3–164.5
2021208.9191.2–224.1154.1140.6–165.7
2022209.9192.7–224.9153.1140.2–165.7
2023210.6195.4–226.3155.5141.6–165.9
2024210.4193.8–226.6156.8143.3–168.7
2025209.9190.3–225.2155.7141.5–168.6
2026212.2194.3–229.2155.3142.2–167.9
2027212195.6–228.6156.8140.9–168.9
2028213195.7–227.2156.5143.9–167.6
2029215.3193.9–231.9155.9141.5–167.7
2030212.2194.9–228156.3143.3–167.6
2031214.3197.2–230.8157.3144.4–168.1
2032215199.3–229.6157.4142.5–169.6
2033215.5198.5–230.1157.7143.6–169.4
2034214.9198.4–233.5159.5145.6–173.4
2035214.9199.2–236.8159.3146.7–170.3
2036216198.7–234.5159.1147.5–171.4
2037217.2199.6–233.5162.2147.5–175.3
2038220.7204.8–235.1161.4148.6–171.7
2039219.7202.4–234.3160148.2–170.4
2040219.2202.9–235160.9147.9–171.3
2041220.7203.9–237.7160.8146.7–171.7
2042221.8206.1–237.2162.3149.9–175.6
2043219.5201.2–237.1161.1150.3–173.8
2044221.4201.6–239.6163150.9–173.9
2045223.7204.8–241.5163149.5–174.8
2046223.2203.2–240.2163.5149.8–177.2
2047224.3204.8–241.1165.2151.8–178.5
2048226.4207.7–243.8166.4154.1–179.4
2049226.5205.6–242.8165150.8–178.2
2050227209.3–243.5166.9153.5–179.3
2051229.6212.4–246.4165.6150.8–180
2052227.2208.6–244.2166.7155.4–179.5
2053227.9208.7–247.7166.3154.2–178.8
2054227.9209.6–244.8167.5153.9–181
2055229.1209.8–247.5167.8155.8–182.5
2056231.8210.4–252.1166.3153.6–179.7
2057228.6208–249168.3153.9–182.3
2058228.9208.8–249167.5157–179.9
2059230.7212.1–247.5170.9155.9–183.8
2060234.7211.1–251.5170.3156.5–181.8
2061231.9213–247.7168.8156.8–179.6
2062233.6209.9–252.8171.6153.5–186.5
2063233215.4–250.5171.3159.5–183.8
2064233.2214.4–251.3170.2155.3–184.5
2065230.7210.4–250.7169.7156.4–185
2066233.5214.3–251.2172.2157–186.7
2067233211.5–253.3173.2160.2–186.3
2068233.1212.4–253.7172.6157.7–186.3
2069236.1214.6–253.4171.8157.3–185.6
2070235.9218.1–253.4171.7158.9–186.7
2071235.1213.5–259.6173.4158.7–186.8
2072234.6216.1–252.6174161.5–186.9
2073237.2219.3–257.2175.6157.2–187.9
2074236.4215.7–254.5173.5160–186.3
2075236.7214.4–255.9173161.5–187.8
2076237.7216–257172.9158.8–186.7
2077237.5219–258.7175161.3–187.8
2078238.5217.3–257.8174.4160.9–189.3
2079238.5219.2–257.2172.5158.3–187.7
2080240.5218.8–258.3175.1160.7–189.2
2081240219.7–260.9174.9159.2–190.2
2082239.4217.1–258.8175.4161.8–190.6
2083239.1220.5–259.2176.5161.8–190.8
2084241.3218.9–260.6176.1160.9–190.5
2085241.7218.8–260.7176.3161.9–193.6
2086241.7217.4–262.7173.9160–189.1
2087241.4220.5–260.9176161–193.1
2088241.8222.3–261.5175.4160.5–195.2
2089240.7221.2–262.6177.2164.2–191.7
2090241.3224.4–260.9177.7163.9–192.2
2091242.6220.3–262.5177.8162.8–192.2
2092241.9221.6–263.3178.7162.9–192.9
2093242.1220.2–260177164–191
2094242.5222.5–261.9176.8164.1–190.7
2095244.9224–264.4178.6163.8–193.1
2096243.9221.1–266.5177.8163.7–192.5
2097243.6219.6–264.2177.3160.4–192.5
2098243.6222.5–263.9178.7162.6–195.7
2099244.7221.8–263.5176159.9–193.2
2100244.5223.2–261.8177.6162.2–193

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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