Malaysia vs North Korea

Malaysia vs North Korea: Tropical nights

Tropical nights in 2014: 323 nights in Malaysia and 29.3 nights in North Korea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Malaysia, by 293.7 nights, or 11 times that in North Korea.

nights a year · CMIP6

Malaysia vs North Korea: Tropical nightsTropical nights in 2014: 323 nights in Malaysia and 29.3 nights in North Korea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Malaysia, by 293.7 nights, or 11 times that in North Korea.
MalaysiaNorth KoreaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Malaysia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Malaysia at 354.8 nights and North Korea at 54.8 nights in 2100.

Every year

nights a year · CMIP6

YearMalaysiaNorth Korea
201432329.3
2013323.929
2012323.328
2011320.926.3
2010320.927.3
2009320.326.8
2008317.925.2
2007317.826.1
2006317.326.7
2005318.426.6
2004319.426.6
200331625.2
200231625.4
2001316.525
2000314.524.3
1999312.925.2
1998312.523.3
1997310.622.9
1996307.122.5
1995307.319.6
1994304.120.6
1993298.216.4
1992293.616.5
1991308.921.3
1990310.421.9
1989306.921.3
1988306.820.8
198730618.2
1986305.518.6
1985301.719
1984302.117.2
1983297.215.6
1982302.618.9
1981303.719.3
1980303.318.1
1979302.417.8
197830120.3
1977301.317.8
1976298.919.2
1975297.718.7
1974298.118.6
1973299.116.2
197229718
1971298.317.1
197029617.5
1969297.419.5
1968295.217.2
1967293.121.2
1966296.218.3
1965293.118.3
1964291.317.8
1963291.621.2
1962299.119.2
1961299.520.5
1960300.119
1959299.919.7
1958301.720.5
195729919.5
1956298.121.9
1955299.319.3
1954296.819.5
1953298.819.8
1952299.420.6
1951299.118.5
195030021.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMalaysiaNorth Korea
2015324.4308.5–333.73020.9–39.9
2016323.8310.5–334.928.319.1–38.6
2017325.6309.9–334.431.722.5–41.4
2018325.7310.7–335.429.419.8–40.4
2019326.4311.9–335.332.524.9–43.3
2020328313.4–337.730.622.9–40.9
2021328.8314–336.330.219–44
2022329315.3–33933.225.3–40
2023330.1316–340.535.424.8–44.5
2024332319.6–340.733.123.4–44.2
2025330.3317.7–34235.526–46.5
2026330.2315.1–342.934.125.7–46.4
2027331315.2–342.434.526–47.8
2028332.4319–341.934.924–44.4
2029334.4322.5–344.934.726.7–45.2
2030333.4319.2–342.635.225.2–45.6
2031333.8317.1–342.533.926.2–47.1
2032336.5323.3–345.936.125.7–49.1
2033336.4322.5–343.337.225.8–49.9
2034334.8322.7–344.336.328.6–44.6
2035334.7323.3–347.939.127.3–49.2
2036336.9320.7–346.240.426.7–52.8
2037338.3325.4–345.337.126.8–48.8
2038339.7326.9–347.437.826.9–50.2
2039340326–347.437.328–48.6
2040338.6325.1–34940.328–54.9
2041340.3326.3–348.140.128.8–54.2
2042339.9326.9–349.64030.8–51.4
2043338.3324.3–348.340.929.4–53.8
2044340.6326.3–350.442.429.2–53.6
2045340.9327.4–349.841.130.7–52
2046343.3327.6–351.443.627.7–52.7
2047343325.3–352.942.230.2–55.6
2048342.6329–352.54029–56
2049343.8331.1–354.141.629.8–55
2050342.7328.1–353.540.831.5–53.9
2051344.5330.7–354.342.531–57.3
2052345.1330.3–35542.129.7–55.5
2053344.2331–353.544.231.3–57.8
2054345330.1–354.642.332.5–55.4
2055346.1332–354.345.433–60.9
2056346.5332.2–356.643.933.5–56.4
2057347.9332.3–355.444.934.5–59
2058347333.5–355.645.334.8–59.4
2059346.9333.4–356.245.430.9–58.8
2060349.7334.9–357.345.130.4–61.9
2061348.4334.1–356.147.135.9–61.5
2062348.4331.8–357.744.934.3–60.2
2063348.7333.2–357.744.433.8–60.5
2064349.1333.8–357.544.332.7–60.5
2065348.6334.6–356.847.835.3–62.1
2066349.3335–357.547.434–59.6
2067349.1334–356.649.333.1–61.2
2068350334.6–358.747.234.1–63.4
2069349.5334.2–357.947.432.6–58.7
2070349.2336.2–357.74933.9–66.5
2071350.9336.1–358.648.634.2–65.8
2072351337.2–357.948.834.5–64.9
2073351.1338.7–359.949.633.9–62.9
2074350337.8–359.449.635–65.3
2075350.5335.4–358.149.734.6–64
2076351.6337.5–359.75034.9–65.1
2077352.4336.4–359.952.437.4–64.6
2078351.3338.9–358.848.435.4–66.5
2079351.8337.9–359.749.737–64.5
2080352.4338.8–360.750.139.7–68.2
2081352.2337.3–359.749.938.1–69.4
2082352.7336.9–358.952.738.5–70.3
2083352.5339.6–360.451.638.9–68.2
2084353.5337.9–360.449.836.9–66.8
2085352.9340.2–360.250.638.2–69
2086352.8339.9–36052.737.2–68
2087352.8338.4–36151.937.3–71.1
2088354340–360.952.636.7–67.4
2089353.7339.7–359.952.839–67.7
2090353.3340.3–360.653.738.3–65.3
2091354.7338.9–36153.740–67.5
2092355.3340.4–361.753.438.6–67.8
2093353.5339.3–36253.537.2–69.1
2094355.4341.2–360.452.936.2–73
2095355339.4–360.652.741.1–68.9
2096353.6339.6–363.158.337.8–73
2097354.3339.5–360.655.239–69
2098354.8340.2–360.75440.5–67.9
2099353.7340–361.852.537.3–67.2
2100354.8340.4–360.854.837.2–70.2

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

Malaysia vs North Korea

Health

People

Education

Politics

Conflict

Military

Climate

Technology and environment