Indonesia vs Tanzania

Indonesia vs Tanzania: Tropical nights

Tropical nights in 2014: 306.5 nights in Indonesia and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 200.2 nights, or 2.88 times that in Tanzania.

Watch it change on the map

nights a year · CMIP6

Indonesia vs Tanzania: Tropical nightsTropical nights in 2014: 306.5 nights in Indonesia and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 200.2 nights, or 2.88 times that in Tanzania.
IndonesiaTanzaniaCMIP6 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 Tanzania at 208 nights in 2100.

Every year

nights a year · CMIP6

YearIndonesiaTanzania
2014306.5106.3
2013306.4105.5
2012306.3108.4
2011304.6109
2010305.6103.9
2009303.9101.1
2008303.4100.3
2007302.899.5
2006302.8100.4
2005303.198.7
2004303.8100.4
2003301.999.6
2002301.598.4
2001302.5101.5
2000300.994.9
1999300.494.2
1998299.196.8
1997297.993.5
1996296.989.6
1995296.788.5
1994294.685.4
1993291.681.2
1992288.580.1
1991297.589.6
1990298.691.1
198929689.1
1988296.587.6
1987295.688.5
1986295.889.4
1985292.883
1984293.483.1
1983290.182.1
1982294.484.8
1981294.888
1980294.585
1979294.185.5
1978292.482.9
1977293.484.1
1976290.881
1975290.780.8
1974291.582.2
197329383.6
1972290.781.4
1971291.280.7
1970288.981.8
1969290.479.5
1968289.179.1
1967288.477.5
1966290.578.1
1965288.178
1964286.273.8
1963286.473.1
1962291.281.1
1961292.982.6
1960292.883.9
1959291.981.4
1958293.382.1
1957290.880.9
1956291.580
1955292.481.6
195429081.4
1953291.480.6
1952291.781.4
1951291.782.1
1950291.880.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIndonesiaTanzania
2015308295.7–315.1114.895.2–137.4
2016307.5296.9–315.6108.391.6–125.6
2017308.4295.5–315.6114.893.6–137.8
2018308.9296.4–316.6116.497.4–137.1
2019309.9297.8–316.7113.495.2–133.2
2020310.9299–318.6119.396.2–143.5
2021310.4298.7–316.4119.5100.9–147.1
2022311.4300–319.6124.4105.3–147.4
2023311.4300.1–320.6122.1102.1–147.8
2024313.2302–321.2126.2100–150.1
2025312300.2–321.9124.6100.9–154
2026312.6299.9–322.8126.999.1–155.6
2027312.7301–321.6128102.9–147.7
2028313.8302.4–321.9129.9106.4–152.1
2029315.5303.9–324.1134.1111–156.5
2030314.2303.1–322.6129.4106.4–151.1
2031314.4301.6–321.9136.4115.9–158.4
2032316.9304.8–325.8135.1114–166.8
2033316.6305.4–323.3135.2110.9–161.9
2034315.4303.9–323.9134.7112.5–166.3
2035316.3305.6–327.9140.2114.6–165
2036317.7305.2–326.2137.8113.3–165.5
2037318.1306.6–325.2142.9121.5–168.9
2038319.3307.6–326.7147.9124.3–169.3
2039319.4307.7–326.7144.3117.6–171.3
2040318.5306.5–329140.5117–178
2041320.2308.3–328149.1121.7–175.6
2042320308.7–329.2146.3120.5–185.3
2043318.6306.6–327.8144.6117–173
2044321309–329.6147.7121.2–175.8
2045320.8308.6–329.8150.1125.2–183.4
2046322.8308.8–331161.5128.6–192.2
2047323.2308.8–333160.2129.7–194.4
2048322.3310.5–332.3158.8132.7–193.1
2049323.8311.6–334.1157.6131.1–196
2050323.3310.3–333.5159.7127.8–192
2051323.6311.2–334.4163.2135.5–197.8
2052325.1311.7–334.7161.9136.2–199.1
2053323.9310.9–333.8160.6127.5–197.7
2054324.4311.9–335.4163.2131.5–200.2
2055325.3312.6–335167.4137–208.3
2056325.9312.4–337.2166.4130.8–209.7
2057326.9311.9–335.2168134.6–208.3
2058326.4313–336.3168.7134.9–210.3
2059326.4313.9–337.8174.7144.9–219.5
2060329.5314.9–338.2181.7138.1–219.8
2061327.9313.6–336.9171.8135.5–218.1
2062327.6312.4–339.1177.5139.9–224
2063327.6313.9–339.4181.4140.1–213.8
2064328.8314.4–338.6185.3140.1–215.2
2065327.6314.3–337.9183.5141.1–221.8
2066328.6314.7–338.5181.9146.3–219.3
2067328.8314.3–338178.8138.8–229.2
2068329.8314.4–339.9186144.2–228.4
2069329.5315.5–339.3183.7141.7–225.3
2070328.6315.1–338.8180.7140.4–228.2
2071331.4315.5–340.4184.9146.9–235.2
2072330.3315.9–339.4191.3155–226.1
2073331.4317.7–341191.6152.4–235.6
2074329.9316.8–341.1183.3149.7–231.7
2075330.5315.2–340.2183.8144.8–233
2076331.5316.2–341.2191.1150.9–233.2
2077332315.9–341.8191.3152.6–238.2
2078331.4318.2–340.9189156.6–233.8
2079331.5316.6–341.5190.5147–237.3
2080332.4317.4–343.2197.3150.7–241.2
2081332.3318.4–341.8195.6153.4–237.4
2082332.8317.8–340.4194.5157.3–237.3
2083333.1318.7–342.6193.2151–249.8
2084333317.8–342.7201.1152.2–246.7
2085332.6318.1–342.7204.2162.3–252.3
2086333.1318.9–342.3195156–248.7
2087332.6318–343.2196.7160.8–244.5
2088334.5319.5–343.1208.4154.7–246.9
2089333.6319–342.6201.3158.6–248.2
2090333.3319.6–343.3197.9160.7–253.6
2091334.5318.2–343.9210161.6–256
2092335.1319.7–343.6205.8158.3–253.6
2093333.9320–344.9207.2161.2–251.9
2094335.6320.4–342.8207.9161.3–250.6
2095335.4319.7–343214.2166.4–258.5
2096334.3319.4–346.1205.3159.8–257.4
2097334.2319.5–343.3206.6158.4–256.8
2098334.9319.4–343.4209.1161–258.3
2099334.4319.4–344.6208.5160.1–256
2100334.7318.7–343.3208158.6–258.6

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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