Bolivia vs Paraguay

Bolivia vs Paraguay: Tropical nights

Tropical nights in 2014: 179.5 nights in Bolivia and 202.9 nights in Paraguay, in the CMIP6 climate models’ median run. In 2014 the value was higher in Paraguay, by 23.4 nights, or 1.13 times that in Bolivia.

Watch it change on the map

nights a year · CMIP6

Bolivia vs Paraguay: Tropical nightsTropical nights in 2014: 179.5 nights in Bolivia and 202.9 nights in Paraguay, in the CMIP6 climate models’ median run. In 2014 the value was higher in Paraguay, by 23.4 nights, or 1.13 times that in Bolivia.
BoliviaParaguayCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Paraguay has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Bolivia at 210.8 nights and Paraguay at 250.2 nights in 2100.

Every year

nights a year · CMIP6

YearBoliviaParaguay
2014179.5202.9
2013176.3197.2
2012177200.5
2011177.2198.1
2010176.7201.6
2009175.9200.4
2008174.1196.1
2007169186.1
2006169.8188.5
2005170.5198.3
2004175.5194.8
2003170.6189.8
2002173.3194.4
2001172.9191.4
2000169195.8
1999167.3188.8
1998170.7195.1
1997167.7190.7
1996163.3183.9
1995164.4182.1
1994162.7177.4
1993160.4180.8
1992155.4172.7
1991169.7183.7
1990172189.6
1989164.4185.4
1988161.5181.8
1987162.5179.7
1986163.8184.5
1985157.8176.9
1984159.8177.7
1983156.8180.1
1982164.2179.6
1981166.5185
1980162.2184.1
1979162.7185.9
1978161.1178.1
1977161179
1976160.1178.3
1975155.5174
1974160.5176.5
1973160.5176.4
1972158.8179.4
1971156.7173.8
1970155.1173.6
1969155.7171.7
1968155.9174.8
1967153.3169.8
1966156.7173
1965154.2168.3
1964150.7164.7
1963148.4164.3
1962157.9175.9
1961158.7176.1
1960160.3175.1
1959159176.2
1958157.5170.6
1957159.3176.3
1956154.5170.4
1955160.3176.1
1954159.7175.2
1953157.8175.6
1952159.1180.5
1951157.6174.9
1950158.6174.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBoliviaParaguay
2015177.7162.4–194.8203.5180.7–228.9
2016177.1155.9–190.7202.2171.5–224.3
2017179.6164.6–190.9201.3180.6–222.8
2018177.8162.1–196.3196.9170.8–225.1
2019180.1164.5–199.9202.2175.2–227
2020180.5162–200.6204.2179.6–236.7
2021185.6169.2–197.3211186.7–234.8
2022184.7165.7–200.5211.3175.3–237.2
2023181.3166.6–196.7207.4184.7–225.6
2024187.1168.2–202.1213.3188.8–236.5
2025183.5168.8–195.7205.4186.1–232.5
2026182.5164.8–198.1209.4178.8–228.7
2027182.7165–201.6209185.2–237.4
2028186.3169.6–200.3210.8179.1–233.5
2029192.5175.6–205.4218.4188.8–243.2
2030185.5161.7–204.2214.3179.2–245.6
2031189.2166.2–205.3210184.3–238.2
2032189.7173.8–209.6218.4187.5–246
2033188.2167.7–204.1211.7186.3–234.1
2034188172.2–207.8216.7190.9–239.5
2035186.7169.1–206.1212.1185.1–244.7
2036190.5173.5–205.2216190.9–238.6
2037195.3181.4–208.5222.7201.4–242
2038189.2174.7–207.8212.9191.8–238.7
2039192.7175.7–205.5219.3196.4–243.2
2040192.3176.8–204.2221.8197.3–243.4
2041193.9179–209225.9200.7–245.5
2042191.3171.9–207.6218.4185.8–239.7
2043191.2174.4–209.9219.9194.4–247.3
2044194.5179.1–209.4222.9198.5–246.5
2045194.4180.2–209225.4201.2–249
2046194.8181.4–213222.3195–248.4
2047196.5181.4–213.3225.3203.5–250.5
2048200.2184.6–212.8233.4214.5–252.3
2049199.8181.3–214.4230.7205.1–253.8
2050196.3173.9–210.9224.3193.5–249
2051198.5184.2–213.3232.3210.5–252.7
2052200.6185.7–214.8232.8205.9–257.6
2053198182.1–211229.9205.2–255.9
2054195.9179.8–211227.4204.3–253.3
2055201.2187.1–215232.6202.1–255.1
2056201.3181.5–216.1232.5203.6–257.8
2057200.6184.3–214.4234.8211.3–255.1
2058200.8182.8–216.5232.9202–260.8
2059203.2186.1–215.8237.9217.3–255.2
2060203.4186.2–219.7234.2205.8–258.5
2061197.9184–216.3230.7207.6–258.3
2062201.4186.2–219.1234.6217.3–262.8
2063201.5184.9–217237.1211.2–255.7
2064200.5184.6–216.1234.6207–259.5
2065204.9187.3–218.4236.5216.7–260.5
2066203.3186.8–218.1237.2208.8–253.5
2067203.6187.7–215.6235.4214.5–254.3
2068204.4188–218235.6210.7–265.5
2069203.8184.5–219235.9207.8–265.8
2070205.1188.3–221.4242.2216.6–265.3
2071203186.9–214.6239.8204.9–260.7
2072206186.6–221.5239.9212.6–266.9
2073206.5193.2–220.7242.1214.2–262
2074204.5184.1–219.5242.1214.2–267.1
2075203.8185.8–217.9241.8219.2–259.7
2076206.5190.1–220.4243.8221.7–267.7
2077209.1185.4–221.4244.9208.1–264.7
2078208.1192.7–222.9245.9222–265.6
2079204.7186.2–218.6237.4218–266.2
2080208.7192.4–221.1243.2217.9–268.8
2081208.1190.7–221.1242.6221.4–259.8
2082208.2189.7–220.1244.9214.1–264.3
2083209.3192.8–222.6241.5212.1–266.3
2084208.2193.3–223.1244.6219.4–269.9
2085210.4194–225247.6216.5–271.8
2086210.4189.7–225.4249220.5–274.6
2087207.9193.8–222243.9217.8–265.9
2088210.3193.4–225.2249225.7–274.3
2089208.2191.3–222.9241.8216.4–271.4
2090209.7195.5–225.2249.4226.7–273.9
2091209.7192.5–227.1249.3225.7–271.9
2092209.8192.1–223.9248.4225.1–268.1
2093209.4195.7–222.1245.2217.9–268.1
2094208.9194.6–222.7243.2219–266.2
2095210.3191.2–225.3247.3217.5–268.2
2096211.6193.9–225245.1222.1–273.7
2097208.6189.8–220.3247.9221.8–271.9
2098211.7196.2–226.5251.3228.7–274.7
2099211.2195.3–224246.4221.2–271.2
2100210.8195.8–226.8250.2222.5–281.6

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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