Indonesia vs Pakistan

Indonesia vs Pakistan: Tropical nights

Tropical nights in 2014: 306.5 nights in Indonesia and 149.9 nights in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 156.6 nights, or 2.04 times that in Pakistan.

Watch it change on the map

nights a year · CMIP6

Indonesia vs Pakistan: Tropical nightsTropical nights in 2014: 306.5 nights in Indonesia and 149.9 nights in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 156.6 nights, or 2.04 times that in Pakistan.
IndonesiaPakistanCMIP6 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 Pakistan at 177.6 nights in 2100.

Every year

nights a year · CMIP6

YearIndonesiaPakistan
2014306.5149.9
2013306.4149.1
2012306.3149.9
2011304.6149
2010305.6148.4
2009303.9147.1
2008303.4147.4
2007302.8147.3
2006302.8146.7
2005303.1146.5
2004303.8147.5
2003301.9146
2002301.5148.3
2001302.5145.4
2000300.9144.7
1999300.4146.9
1998299.1144.8
1997297.9143.2
1996296.9141.2
1995296.7141.8
1994294.6142.1
1993291.6140.4
1992288.5139.9
1991297.5142.5
1990298.6142.6
1989296142.5
1988296.5140.3
1987295.6140
1986295.8140
1985292.8140
1984293.4138.9
1983290.1136.3
1982294.4138.5
1981294.8141.5
1980294.5139.5
1979294.1139.1
1978292.4139
1977293.4138.6
1976290.8139.2
1975290.7136.5
1974291.5138.7
1973293137.8
1972290.7137.4
1971291.2136
1970288.9137.7
1969290.4135.9
1968289.1136.6
1967288.4135.2
1966290.5136.9
1965288.1138.3
1964286.2135.1
1963286.4135.7
1962291.2137
1961292.9138.6
1960292.8139
1959291.9138.6
1958293.3137.7
1957290.8140
1956291.5137.8
1955292.4137.5
1954290137.8
1953291.4136.9
1952291.7138.1
1951291.7136.7
1950291.8139.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIndonesiaPakistan
2015308295.7–315.1152.4138.7–163.3
2016307.5296.9–315.6150.6139.4–161.7
2017308.4295.5–315.6151.3138.8–162
2018308.9296.4–316.6152.6139.8–161.8
2019309.9297.8–316.7151.8138.1–163.3
2020310.9299–318.6153.1140.3–164.5
2021310.4298.7–316.4154.1140.6–165.7
2022311.4300–319.6153.1140.2–165.7
2023311.4300.1–320.6155.5141.6–165.9
2024313.2302–321.2156.8143.3–168.7
2025312300.2–321.9155.7141.5–168.6
2026312.6299.9–322.8155.3142.2–167.9
2027312.7301–321.6156.8140.9–168.9
2028313.8302.4–321.9156.5143.9–167.6
2029315.5303.9–324.1155.9141.5–167.7
2030314.2303.1–322.6156.3143.3–167.6
2031314.4301.6–321.9157.3144.4–168.1
2032316.9304.8–325.8157.4142.5–169.6
2033316.6305.4–323.3157.7143.6–169.4
2034315.4303.9–323.9159.5145.6–173.4
2035316.3305.6–327.9159.3146.7–170.3
2036317.7305.2–326.2159.1147.5–171.4
2037318.1306.6–325.2162.2147.5–175.3
2038319.3307.6–326.7161.4148.6–171.7
2039319.4307.7–326.7160148.2–170.4
2040318.5306.5–329160.9147.9–171.3
2041320.2308.3–328160.8146.7–171.7
2042320308.7–329.2162.3149.9–175.6
2043318.6306.6–327.8161.1150.3–173.8
2044321309–329.6163150.9–173.9
2045320.8308.6–329.8163149.5–174.8
2046322.8308.8–331163.5149.8–177.2
2047323.2308.8–333165.2151.8–178.5
2048322.3310.5–332.3166.4154.1–179.4
2049323.8311.6–334.1165150.8–178.2
2050323.3310.3–333.5166.9153.5–179.3
2051323.6311.2–334.4165.6150.8–180
2052325.1311.7–334.7166.7155.4–179.5
2053323.9310.9–333.8166.3154.2–178.8
2054324.4311.9–335.4167.5153.9–181
2055325.3312.6–335167.8155.8–182.5
2056325.9312.4–337.2166.3153.6–179.7
2057326.9311.9–335.2168.3153.9–182.3
2058326.4313–336.3167.5157–179.9
2059326.4313.9–337.8170.9155.9–183.8
2060329.5314.9–338.2170.3156.5–181.8
2061327.9313.6–336.9168.8156.8–179.6
2062327.6312.4–339.1171.6153.5–186.5
2063327.6313.9–339.4171.3159.5–183.8
2064328.8314.4–338.6170.2155.3–184.5
2065327.6314.3–337.9169.7156.4–185
2066328.6314.7–338.5172.2157–186.7
2067328.8314.3–338173.2160.2–186.3
2068329.8314.4–339.9172.6157.7–186.3
2069329.5315.5–339.3171.8157.3–185.6
2070328.6315.1–338.8171.7158.9–186.7
2071331.4315.5–340.4173.4158.7–186.8
2072330.3315.9–339.4174161.5–186.9
2073331.4317.7–341175.6157.2–187.9
2074329.9316.8–341.1173.5160–186.3
2075330.5315.2–340.2173161.5–187.8
2076331.5316.2–341.2172.9158.8–186.7
2077332315.9–341.8175161.3–187.8
2078331.4318.2–340.9174.4160.9–189.3
2079331.5316.6–341.5172.5158.3–187.7
2080332.4317.4–343.2175.1160.7–189.2
2081332.3318.4–341.8174.9159.2–190.2
2082332.8317.8–340.4175.4161.8–190.6
2083333.1318.7–342.6176.5161.8–190.8
2084333317.8–342.7176.1160.9–190.5
2085332.6318.1–342.7176.3161.9–193.6
2086333.1318.9–342.3173.9160–189.1
2087332.6318–343.2176161–193.1
2088334.5319.5–343.1175.4160.5–195.2
2089333.6319–342.6177.2164.2–191.7
2090333.3319.6–343.3177.7163.9–192.2
2091334.5318.2–343.9177.8162.8–192.2
2092335.1319.7–343.6178.7162.9–192.9
2093333.9320–344.9177164–191
2094335.6320.4–342.8176.8164.1–190.7
2095335.4319.7–343178.6163.8–193.1
2096334.3319.4–346.1177.8163.7–192.5
2097334.2319.5–343.3177.3160.4–192.5
2098334.9319.4–343.4178.7162.6–195.7
2099334.4319.4–344.6176159.9–193.2
2100334.7318.7–343.3177.6162.2–193

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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