Algeria vs Pakistan

Algeria vs Pakistan: Tropical nights

Tropical nights in 2014: 147.8 nights in Algeria and 149.9 nights in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 2.1 nights, or 1.01 times that in Algeria.

Watch it change on the map

nights a year · CMIP6

Algeria vs Pakistan: Tropical nightsTropical nights in 2014: 147.8 nights in Algeria and 149.9 nights in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 2.1 nights, or 1.01 times that in Algeria.
AlgeriaPakistanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Pakistan has been higher since 2014, when it overtook Algeria.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Algeria at 177.5 nights and Pakistan at 177.6 nights in 2100.

Every year

nights a year · CMIP6

YearAlgeriaPakistan
2014147.8149.9
2013149.2149.1
2012149.1149.9
2011149.8149
2010148.7148.4
2009146.5147.1
2008148.3147.4
2007146.6147.3
2006146.4146.7
2005145.5146.5
2004146147.5
2003145146
2002144.9148.3
2001144.7145.4
2000144144.7
1999141.4146.9
1998142.2144.8
1997141.4143.2
1996139.6141.2
1995137.5141.8
1994138142.1
1993135.3140.4
1992131.6139.9
1991138.7142.5
1990141.6142.6
1989137.6142.5
1988137.3140.3
1987136.4140
1986136.2140
1985133.4140
1984135.2138.9
1983133.9136.3
1982136.5138.5
1981134.7141.5
1980133.5139.5
1979135139.1
1978134.8139
1977133.3138.6
1976133.8139.2
1975134136.5
1974130138.7
1973133.8137.8
1972133.3137.4
1971130.8136
1970128.7137.7
1969131.5135.9
1968131.3136.6
1967131135.2
1966131136.9
1965127.2138.3
1964131.7135.1
1963131135.7
1962132.6137
1961132.4138.6
1960134.4139
1959134.3138.6
1958133.8137.7
1957134.6140
1956132.8137.8
1955133.2137.5
1954130.2137.8
1953130.1136.9
1952132.8138.1
1951133.7136.7
1950131.7139.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAlgeriaPakistan
2015149.7136.5–163.3152.4138.7–163.3
2016148.4136.2–163.8150.6139.4–161.7
2017155139.3–169.4151.3138.8–162
2018154.4138.5–167.4152.6139.8–161.8
2019153.9139.9–167.9151.8138.1–163.3
2020152.8138.9–166.4153.1140.3–164.5
2021156.2142.9–168.2154.1140.6–165.7
2022157.3142.1–173.6153.1140.2–165.7
2023153.8139.7–166.7155.5141.6–165.9
2024157.2145.1–170.4156.8143.3–168.7
2025156142.2–170155.7141.5–168.6
2026158145.8–170.5155.3142.2–167.9
2027157.9144.9–172156.8140.9–168.9
2028159.1145.3–170.6156.5143.9–167.6
2029158.6145.9–171155.9141.5–167.7
2030157.3142.8–169.1156.3143.3–167.6
2031158.9145.5–174.1157.3144.4–168.1
2032162.1151.7–174.9157.4142.5–169.6
2033161.3144.7–173.9157.7143.6–169.4
2034161.5145.2–176.1159.5145.6–173.4
2035162.6149.6–177.8159.3146.7–170.3
2036161.7149.4–175.3159.1147.5–171.4
2037161.9147.5–176.4162.2147.5–175.3
2038164148–178161.4148.6–171.7
2039163.4147.7–179.3160148.2–170.4
2040163.8149.7–179160.9147.9–171.3
2041162.1147.9–175.2160.8146.7–171.7
2042165.2151.6–180.4162.3149.9–175.6
2043163.7150.7–174.1161.1150.3–173.8
2044164.1150.7–177.7163150.9–173.9
2045166.3153.8–177.7163149.5–174.8
2046165.5151.5–178.8163.5149.8–177.2
2047166.9151.1–182.8165.2151.8–178.5
2048166.9154.5–180.8166.4154.1–179.4
2049166.2153.1–178.7165150.8–178.2
2050168.1152.8–180.9166.9153.5–179.3
2051166.4152.8–181.4165.6150.8–180
2052167.9155.5–185.3166.7155.4–179.5
2053167.8153.5–183166.3154.2–178.8
2054169.9154.7–184.1167.5153.9–181
2055171.2156.6–185167.8155.8–182.5
2056169.6154.7–185166.3153.6–179.7
2057169.5154.9–186.3168.3153.9–182.3
2058168.8154.9–187.6167.5157–179.9
2059171157–188.4170.9155.9–183.8
2060171.7156.6–186.7170.3156.5–181.8
2061174160.5–186.9168.8156.8–179.6
2062170154.4–189.1171.6153.5–186.5
2063173.1158.9–187.6171.3159.5–183.8
2064171.3156.5–187.5170.2155.3–184.5
2065172.4158.1–185.8169.7156.4–185
2066172.7157.8–189.5172.2157–186.7
2067173.3158.5–188173.2160.2–186.3
2068174.6157.3–191.3172.6157.7–186.3
2069174.7158.7–188.1171.8157.3–185.6
2070173.3159.4–186.8171.7158.9–186.7
2071173.9159.5–192.1173.4158.7–186.8
2072176.4160–191174161.5–186.9
2073175.3160.4–192.4175.6157.2–187.9
2074176.7157.1–191.8173.5160–186.3
2075174.3158.7–193.2173161.5–187.8
2076176.3161.3–192.1172.9158.8–186.7
2077175.9160.3–194175161.3–187.8
2078180164.9–191.9174.4160.9–189.3
2079178157.2–194.5172.5158.3–187.7
2080178160.3–192.5175.1160.7–189.2
2081175.3161.2–192.8174.9159.2–190.2
2082177.2160.2–192.3175.4161.8–190.6
2083178.5161.1–195.6176.5161.8–190.8
2084180.1164.6–192.9176.1160.9–190.5
2085179.6159.9–197.5176.3161.9–193.6
2086179.8163.9–196.8173.9160–189.1
2087179160.6–195.3176161–193.1
2088179.3163.3–198.8175.4160.5–195.2
2089178.9163.6–197.4177.2164.2–191.7
2090180.5161.9–196.8177.7163.9–192.2
2091179.6164.9–197.5177.8162.8–192.2
2092181.6164.7–195.6178.7162.9–192.9
2093181.1162.6–199.4177164–191
2094180.6164.4–193.7176.8164.1–190.7
2095181.1164.5–195.8178.6163.8–193.1
2096180.7165.8–199.4177.8163.7–192.5
2097178.3162.2–193.1177.3160.4–192.5
2098180.4164.5–198.3178.7162.6–195.7
2099182165.3–199.3176159.9–193.2
2100177.5163.3–199.1177.6162.2–193

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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