Indonesia vs United States

Indonesia vs United States: Tropical nights

Tropical nights in 2014: 306.5 nights in Indonesia and 39.8 nights in United States, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 266.7 nights, or 7.7 times that in United States.

nights a year · CMIP6

Indonesia vs United States: Tropical nightsTropical nights in 2014: 306.5 nights in Indonesia and 39.8 nights in United States, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 266.7 nights, or 7.7 times that in United States.
IndonesiaUnited StatesCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Indonesia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Indonesia at 334.7 nights and United States at 63.9 nights in 2100.

Every year

nights a year · CMIP6

YearIndonesiaUnited States
2014306.539.8
2013306.438.9
2012306.338.7
2011304.638.4
2010305.638.3
2009303.937.5
2008303.436.8
2007302.837.7
2006302.837.6
2005303.136.8
2004303.835.8
2003301.936
2002301.537.7
2001302.536.7
2000300.935.5
1999300.436.1
1998299.134.8
1997297.935.1
1996296.933.6
1995296.733.6
1994294.632.4
1993291.630.9
1992288.529.4
1991297.533.7
1990298.633.8
198929632.9
1988296.533
1987295.632.1
1986295.831.5
1985292.832
1984293.430.1
1983290.128.4
1982294.430.8
1981294.832.9
1980294.530.7
1979294.132.1
1978292.431.6
1977293.431.6
1976290.829.7
1975290.731.1
1974291.529.8
197329329.9
1972290.730.7
1971291.230
1970288.929.7
1969290.430.4
1968289.129.5
1967288.429.7
1966290.529.1
1965288.128.6
1964286.228.1
1963286.430
1962291.230.8
1961292.931.9
1960292.831.1
1959291.931
1958293.330.6
1957290.831
1956291.532
1955292.430.7
195429030.8
1953291.431.3
1952291.730.6
1951291.730.7
1950291.830.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIndonesiaUnited States
2015308295.7–315.140.932.9–49.8
2016307.5296.9–315.641.933.3–52
2017308.4295.5–315.64234–50.6
2018308.9296.4–316.64333.9–52.5
2019309.9297.8–316.743.234.3–52.6
2020310.9299–318.642.833.9–53.1
2021310.4298.7–316.442.833.8–52.7
2022311.4300–319.643.634.5–52.3
2023311.4300.1–320.644.535–55.5
2024313.2302–321.244.935.9–54.5
2025312300.2–321.94636.7–55.5
2026312.6299.9–322.844.735.6–54.8
2027312.7301–321.646.437.3–58.4
2028313.8302.4–321.945.836.5–56.6
2029315.5303.9–324.146.936.9–57.7
2030314.2303.1–322.646.936.6–58.8
2031314.4301.6–321.946.337–55.7
2032316.9304.8–325.846.236.9–56.5
2033316.6305.4–323.349.439.1–60.3
2034315.4303.9–323.947.738.7–58.6
2035316.3305.6–327.947.737.5–59.6
2036317.7305.2–326.249.439.2–61.8
2037318.1306.6–325.248.639.1–59.8
2038319.3307.6–326.750.240.4–59.8
2039319.4307.7–326.750.240.5–60.9
2040318.5306.5–32950.739.8–61.8
2041320.2308.3–32849.840.1–61.2
2042320308.7–329.251.441–63.1
2043318.6306.6–327.851.341.4–62.2
2044321309–329.651.340.5–63.3
2045320.8308.6–329.852.441.5–64.7
2046322.8308.8–33153.343.3–64.1
2047323.2308.8–33353.844.1–66.5
2048322.3310.5–332.353.542.2–66
2049323.8311.6–334.153.743.2–65.9
2050323.3310.3–333.554.943–67.2
2051323.6311.2–334.454.743.5–67.5
2052325.1311.7–334.753.642–66.1
2053323.9310.9–333.854.342.4–66.8
2054324.4311.9–335.454.543.1–67
2055325.3312.6–33555.142.4–68
2056325.9312.4–337.255.844.3–70
2057326.9311.9–335.256.244.6–68.1
2058326.4313–336.356.144.4–70.4
2059326.4313.9–337.855.544.5–67.9
2060329.5314.9–338.256.144.9–68.3
2061327.9313.6–336.95746–69
2062327.6312.4–339.157.443.9–70.3
2063327.6313.9–339.457.244.7–70.8
2064328.8314.4–338.65643–68.2
2065327.6314.3–337.956.544.2–71
2066328.6314.7–338.558.747.4–71.2
2067328.8314.3–33858.647.2–71.4
2068329.8314.4–339.958.846.1–71.7
2069329.5315.5–339.359.646.8–73
2070328.6315.1–338.857.944.7–72.8
2071331.4315.5–340.45946.5–72
2072330.3315.9–339.458.746.4–72.9
2073331.4317.7–34159.345.8–72.1
2074329.9316.8–341.160.546.4–74.6
2075330.5315.2–340.259.846.6–75.3
2076331.5316.2–341.259.647.5–74.4
2077332315.9–341.860.147.9–74.3
2078331.4318.2–340.960.747–76
2079331.5316.6–341.561.148.3–76.2
2080332.4317.4–343.261.448.8–76.8
2081332.3318.4–341.86149.2–74.7
2082332.8317.8–340.461.748.1–75.9
2083333.1318.7–342.662.849.6–77.6
2084333317.8–342.762.248.1–76.8
2085332.6318.1–342.76247.9–76
2086333.1318.9–342.36449–78.8
2087332.6318–343.263.349.5–77.3
2088334.5319.5–343.163.148.2–78.4
2089333.6319–342.661.648.8–76.6
2090333.3319.6–343.364.950.6–79
2091334.5318.2–343.964.750–78.6
2092335.1319.7–343.66448.1–79
2093333.9320–344.964.350.1–80.2
2094335.6320.4–342.863.248.2–78.9
2095335.4319.7–34364.149.8–79.8
2096334.3319.4–346.16549.9–79.6
2097334.2319.5–343.363.347.3–81.2
2098334.9319.4–343.464.349.7–79.2
2099334.4319.4–344.664.350.3–79.5
2100334.7318.7–343.363.950.3–80.2

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

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