Laos vs Thailand

Laos vs Thailand: Tropical nights

Tropical nights in 2014: 192.8 nights in Laos and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 93.6 nights, or 1.49 times that in Laos.

Watch it change on the map

nights a year · CMIP6

Laos vs Thailand: Tropical nightsTropical nights in 2014: 192.8 nights in Laos and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 93.6 nights, or 1.49 times that in Laos.
LaosThailandCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Thailand has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Laos at 246.3 nights and Thailand at 320.8 nights in 2100.

Every year

nights a year · CMIP6

YearLaosThailand
2014192.8286.4
2013195.1289.1
2012191.6286.6
2011193286.4
2010190.7286
2009189.1286.9
2008188.6284.8
2007185.3283.2
2006188.6284.3
2005186.1281.7
2004191.4287.5
2003183.8279.3
2002184.7280
2001190.3285.5
2000185.1283.4
1999183.9282.5
1998184.9282.7
1997184.9284.8
1996177.4279.8
1995176.6278.7
1994179.4280.8
1993170.4275.6
1992165.3268.8
1991178.5276.7
1990181.2279.2
1989176.1278.4
1988178.1279.6
1987177.3277.9
1986176.9277.5
1985172.3276
1984175.7277.9
1983166.9273.9
1982173.8275.7
1981174.1277.8
1980175.3277.9
1979174.1278
1978170.7276
1977172.6277.3
1976169.8275.6
1975169.3274.4
1974171.2276
1973177.3280.6
1972169.3273.9
1971168.6273.2
1970169.4276
1969171.8274.8
1968170.3277
1967164.6270.3
1966171.4274.4
1965168.3275.8
1964164.5271.9
1963166.3274.7
1962173275.4
1961175278.5
1960173.2276.2
1959170.1274.4
1958176.9278.7
1957171.8277.4
1956173.3277
1955172.8274.6
1954171.8275
1953171.8275.4
1952173.6275.1
1951175.3277.5
1950172.1276.2
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearLaosThailand
2015198.2176.6–216.8290.6272.2–305
2016193174.6–213.8287.1269.8–306.2
2017198.1178.2–215.1290273.8–302.8
2018198.8178.8–218.7292.6275.1–308.7
2019200.6172.9–217.8291.2272.8–306.7
2020201.8177.8–220292.4272.2–307.8
2021204.2184–224.5294.2276.3–308.5
2022205.2182.2–225.7294.8277.2–311.9
2023206.2187.2–224.3296.1281.9–310.2
2024205.2186.3–221.9291.7275.5–307.8
2025206.1181.2–224294276.7–306.3
2026207.5183.6–226.9296278–309.3
2027206.4185.8–226.4295.8276.3–311.1
2028208.4186.8–230.5297279.3–315.1
2029215.3189.5–232.4300.3278.7–315
2030209.8189.3–227.8297.7280.2–312.5
2031211.6194.2–230.7300.8282.8–317.1
2032211.4191–229.3297.2280.9–311.4
2033212.8193.9–231.8300281.9–315.8
2034214.5190.9–236300.8279–318.4
2035213.3192.8–234.5298.6281.5–317.8
2036213.6191.7–231.6300.4279.9–316.9
2037215.7195.2–234.2299.8280–315.1
2038221.3202.2–238.1304.8286.6–319.3
2039216195.9–235.9300.9281.9–317
2040217.2196.2–235.1301.6284.5–315.7
2041221.3199.8–240.8303.1285.1–318.8
2042221.3200.3–239.4303.8290–318.3
2043218.2199.3–237.8302285.8–317.9
2044219.8194.2–237.9304.3286.3–318.8
2045223.9202.3–242.4307.1287.7–324.2
2046222.1198–239305.9285.2–321
2047225202.1–243.8306.6289.5–321.5
2048226.8204.9–247.7309.4288.9–325.7
2049226.6206–249308.1287.2–324.1
2050226.9207.5–245.6307.5291–321.5
2051229.3208.8–247.3312.8294.8–326
2052228.7209.4–244.4310.9291.2–323.4
2053227.2206.2–247.2308.3289.5–323.3
2054228206.7–247.3308.8292.8–322.3
2055227.3206.6–248.1308.6290.6–325.1
2056232.1212.8–253.7311.3294.9–326.3
2057227.9207.9–248.4308.5286.7–326.4
2058229.6207.8–249.3308291.1–325.1
2059233.1214.1–249.5312.7295.8–325.3
2060237.7213.2–253.7313.1294.6–328.6
2061233.5210–254.8314.4289.5–331.1
2062230.6209–257.1311.4293.4–330.3
2063232.2211–250.9314.8296.9–327.3
2064235213.9–252312.5295.4–330
2065232.1213.7–253.3309.6293.1–329.3
2066232.1212.3–251.7312.1292.6–328
2067231.7205.9–254.2311.2289.6–329.4
2068235.6212.3–256.8310.8292.4–330.6
2069237.4213.9–257.5315.5296.1–329.5
2070234.4213.7–255.9314.2292.9–330.7
2071236212.9–260.4313.8296.4–330.8
2072239214.7–254.8314.8296–329.6
2073239.6220.8–259316.5299.9–332.1
2074239214.1–260.4317.2295–333.8
2075238.6215.1–260.7317.2295.3–331.4
2076240.5216.9–263.9317.4299.8–335
2077242.2222.7–262.5317.5297.3–335.9
2078242.1215.9–260.8315.9297.1–331.6
2079241.1222.6–260.6318.5300.5–332.3
2080240.8220.6–264.8319.8297.4–337.5
2081242.8217.4–264.5317.7299.5–334.9
2082243.2216.6–262.4317.9294.8–333
2083239.6219.9–261.2315297.8–332.9
2084241.7215.2–260316295.5–330
2085243.6221.2–266.3322.6300.8–334.7
2086244.4218.2–267.7319.4295.2–335.2
2087243.8219.7–267320.2302.2–334.7
2088246.1224.3–269.6321.4299.8–334.8
2089242.8220.1–268.3318.9296.4–338.1
2090242.8226.2–266.1317.6304–337.4
2091245.5221.4–267320.1299.8–336.1
2092243.1220.1–266.5316.3298–336.4
2093242.1221.2–263.6316.1297.7–333.7
2094245.7224.8–267.6323.4301.8–337.3
2095249.4222.7–273.4322.9302.4–338.9
2096244.6221.7–268.3319.6302.8–336.7
2097244.8221–265.4319.8299.1–336
2098245.4224.3–268320.5303.9–336
2099247.3220.9–265.1319.9303.1–334.4
2100246.3220–266.4320.8301.1–336.7

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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