Colombia vs Myanmar (Burma)

Colombia vs Myanmar (Burma): Tropical nights

Tropical nights in 2014: 279.9 nights in Colombia and 201.9 nights in Myanmar (Burma), in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 78 nights, or 1.39 times that in Myanmar (Burma).

nights a year · CMIP6

Colombia vs Myanmar (Burma): Tropical nightsTropical nights in 2014: 279.9 nights in Colombia and 201.9 nights in Myanmar (Burma), in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 78 nights, or 1.39 times that in Myanmar (Burma).
ColombiaMyanmar (Burma)CMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Colombia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Colombia at 297.4 nights and Myanmar (Burma) at 244.5 nights in 2100.

Every year

nights a year · CMIP6

YearColombiaMyanmar (Burma)
2014279.9201.9
2013279.8203.1
2012280.7201.1
2011280200.9
2010279.1202.1
2009279.3199
2008278.4198.1
2007277.3196.8
2006277.5198.2
2005277.7196.7
2004278.2200.3
2003277.5195.3
2002277.3196.6
2001278199
2000276.2197.2
1999274.6196.4
1998275.2194.7
1997274.4194.4
1996271.2191.4
1995271.3189.9
1994270.4188.8
1993268185
1992264.7180.5
1991273.9191.7
1990275.6191.5
1989271.9190.3
1988270.3190.7
1987271.8190.8
1986271.4189.7
1985268.4187.4
1984268.2189.1
1983265.1182.3
1982269.2186.7
1981272.1188.4
1980270.2189
1979269.3189.8
1978268.3186.8
1977269.6187.4
1976266.1185.8
1975261.6183.6
1974266.6185.5
1973269.9187.5
1972266.6184.8
1971265.7185.2
1970265.4184.9
1969266184.3
1968264.6183.7
1967261.7182.3
1966263.7186.2
1965263.2182.9
1964260.3180.6
1963254.8183.1
1962266.7187.3
1961267188.7
1960268.6187.1
1959265.5186.5
1958268187.1
1957267.4186.2
1956263.3187.9
1955267.7185.9
1954267.2185.7
1953267.9185
1952268.1186.1
1951267.2187.1
1950266.5186.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearColombiaMyanmar (Burma)
2015280.4265.9–286.4205.2186.4–218.9
2016279.9267.9–285.6202.8186.2–218.8
2017281.7270.6–286.3203.4187.3–218.3
2018281.5271.8–286.3205.5190.9–219.9
2019281.1269.5–286.9205.2186.7–222.2
2020282.1270.6–287.9208.2188.5–223.5
2021283.2273.9–287.8208.9191.2–224.1
2022283.7273.6–288.5209.9192.7–224.9
2023282.6274.2–288.8210.6195.4–226.3
2024284.7274.7–289.8210.4193.8–226.6
2025283.5273.3–289.7209.9190.3–225.2
2026283.4272.7–289.7212.2194.3–229.2
2027283.9273.4–289.2212195.6–228.6
2028285275.1–290.7213195.7–227.2
2029285.8276–290.3215.3193.9–231.9
2030284.2273.4–289.8212.2194.9–228
2031285.8274.8–291.2214.3197.2–230.8
2032286.7278.3–292.6215199.3–229.6
2033285.7274.7–290.3215.5198.5–230.1
2034285275.8–292.8214.9198.4–233.5
2035285.9277.3–292214.9199.2–236.8
2036286276.9–291.6216198.7–234.5
2037287.5279.3–291.9217.2199.6–233.5
2038288279.7–292.4220.7204.8–235.1
2039287.6278.8–292.7219.7202.4–234.3
2040287.6279.3–294.5219.2202.9–235
2041288.2279.9–292.7220.7203.9–237.7
2042288.2278.3–295221.8206.1–237.2
2043287.7277.7–293.4219.5201.2–237.1
2044287.8278.5–295.1221.4201.6–239.6
2045288.8280.5–293.9223.7204.8–241.5
2046290.4281–295.5223.2203.2–240.2
2047289.9280.6–294.6224.3204.8–241.1
2048290.7281.4–296.8226.4207.7–243.8
2049290.9282–295.3226.5205.6–242.8
2050290.1280.8–296227209.3–243.5
2051290.6280.9–295.7229.6212.4–246.4
2052290.9281.9–296.7227.2208.6–244.2
2053290.5280.8–296.3227.9208.7–247.7
2054290.8281.3–297.2227.9209.6–244.8
2055291.1282.6–298229.1209.8–247.5
2056291.5281.5–298.6231.8210.4–252.1
2057291.5281.2–297.3228.6208–249
2058291.8281.7–298.9228.9208.8–249
2059292.8282–299.2230.7212.1–247.5
2060293.2283–300.1234.7211.1–251.5
2061292.2281.9–298.7231.9213–247.7
2062292.6282.4–299.7233.6209.9–252.8
2063293.6282.3–298.6233215.4–250.5
2064292.7282.9–299.1233.2214.4–251.3
2065293.8283.6–299.4230.7210.4–250.7
2066293.1283.4–299.8233.5214.3–251.2
2067292.9281.8–299.6233211.5–253.3
2068294.2282.5–300.6233.1212.4–253.7
2069292.9282.4–300236.1214.6–253.4
2070292.9282.8–300.8235.9218.1–253.4
2071294.2282.8–301.5235.1213.5–259.6
2072294.9285.1–301.9234.6216.1–252.6
2073294.9285.5–302.2237.2219.3–257.2
2074293.9283.3–300.3236.4215.7–254.5
2075294.1283.2–300.6236.7214.4–255.9
2076294.9284.6–302237.7216–257
2077295.3284.3–301.9237.5219–258.7
2078294.4285–302238.5217.3–257.8
2079294.8283.7–301.8238.5219.2–257.2
2080295.1283.4–302.8240.5218.8–258.3
2081295.1284.8–302.6240219.7–260.9
2082295.1284.9–301.3239.4217.1–258.8
2083295.4284.5–304.6239.1220.5–259.2
2084296285.1–304.4241.3218.9–260.6
2085296.6285–305241.7218.8–260.7
2086295.6284.8–303.6241.7217.4–262.7
2087295.3284.1–303.4241.4220.5–260.9
2088295.9284.5–305.5241.8222.3–261.5
2089295.6285–304.5240.7221.2–262.6
2090295.7285.8–304.6241.3224.4–260.9
2091297285–304.9242.6220.3–262.5
2092296.8286–305.7241.9221.6–263.3
2093296.3285.6–305.3242.1220.2–260
2094296.4285.8–305242.5222.5–261.9
2095297.9285.6–304.9244.9224–264.4
2096296285.9–307.5243.9221.1–266.5
2097296.5284.8–303.4243.6219.6–264.2
2098296.6286–307.3243.6222.5–263.9
2099297284.6–305.4244.7221.8–263.5
2100297.4286.5–305.2244.5223.2–261.8

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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