Colombia vs Tanzania

Colombia vs Tanzania: Tropical nights

Tropical nights in 2014: 279.9 nights in Colombia and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 173.6 nights, or 2.63 times that in Tanzania.

nights a year · CMIP6

Colombia vs Tanzania: Tropical nightsTropical nights in 2014: 279.9 nights in Colombia and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 173.6 nights, or 2.63 times that in Tanzania.
ColombiaTanzaniaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Colombia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Colombia at 297.4 nights and Tanzania at 208 nights in 2100.

Every year

nights a year · CMIP6

YearColombiaTanzania
2014279.9106.3
2013279.8105.5
2012280.7108.4
2011280109
2010279.1103.9
2009279.3101.1
2008278.4100.3
2007277.399.5
2006277.5100.4
2005277.798.7
2004278.2100.4
2003277.599.6
2002277.398.4
2001278101.5
2000276.294.9
1999274.694.2
1998275.296.8
1997274.493.5
1996271.289.6
1995271.388.5
1994270.485.4
199326881.2
1992264.780.1
1991273.989.6
1990275.691.1
1989271.989.1
1988270.387.6
1987271.888.5
1986271.489.4
1985268.483
1984268.283.1
1983265.182.1
1982269.284.8
1981272.188
1980270.285
1979269.385.5
1978268.382.9
1977269.684.1
1976266.181
1975261.680.8
1974266.682.2
1973269.983.6
1972266.681.4
1971265.780.7
1970265.481.8
196926679.5
1968264.679.1
1967261.777.5
1966263.778.1
1965263.278
1964260.373.8
1963254.873.1
1962266.781.1
196126782.6
1960268.683.9
1959265.581.4
195826882.1
1957267.480.9
1956263.380
1955267.781.6
1954267.281.4
1953267.980.6
1952268.181.4
1951267.282.1
1950266.580.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearColombiaTanzania
2015280.4265.9–286.4114.895.2–137.4
2016279.9267.9–285.6108.391.6–125.6
2017281.7270.6–286.3114.893.6–137.8
2018281.5271.8–286.3116.497.4–137.1
2019281.1269.5–286.9113.495.2–133.2
2020282.1270.6–287.9119.396.2–143.5
2021283.2273.9–287.8119.5100.9–147.1
2022283.7273.6–288.5124.4105.3–147.4
2023282.6274.2–288.8122.1102.1–147.8
2024284.7274.7–289.8126.2100–150.1
2025283.5273.3–289.7124.6100.9–154
2026283.4272.7–289.7126.999.1–155.6
2027283.9273.4–289.2128102.9–147.7
2028285275.1–290.7129.9106.4–152.1
2029285.8276–290.3134.1111–156.5
2030284.2273.4–289.8129.4106.4–151.1
2031285.8274.8–291.2136.4115.9–158.4
2032286.7278.3–292.6135.1114–166.8
2033285.7274.7–290.3135.2110.9–161.9
2034285275.8–292.8134.7112.5–166.3
2035285.9277.3–292140.2114.6–165
2036286276.9–291.6137.8113.3–165.5
2037287.5279.3–291.9142.9121.5–168.9
2038288279.7–292.4147.9124.3–169.3
2039287.6278.8–292.7144.3117.6–171.3
2040287.6279.3–294.5140.5117–178
2041288.2279.9–292.7149.1121.7–175.6
2042288.2278.3–295146.3120.5–185.3
2043287.7277.7–293.4144.6117–173
2044287.8278.5–295.1147.7121.2–175.8
2045288.8280.5–293.9150.1125.2–183.4
2046290.4281–295.5161.5128.6–192.2
2047289.9280.6–294.6160.2129.7–194.4
2048290.7281.4–296.8158.8132.7–193.1
2049290.9282–295.3157.6131.1–196
2050290.1280.8–296159.7127.8–192
2051290.6280.9–295.7163.2135.5–197.8
2052290.9281.9–296.7161.9136.2–199.1
2053290.5280.8–296.3160.6127.5–197.7
2054290.8281.3–297.2163.2131.5–200.2
2055291.1282.6–298167.4137–208.3
2056291.5281.5–298.6166.4130.8–209.7
2057291.5281.2–297.3168134.6–208.3
2058291.8281.7–298.9168.7134.9–210.3
2059292.8282–299.2174.7144.9–219.5
2060293.2283–300.1181.7138.1–219.8
2061292.2281.9–298.7171.8135.5–218.1
2062292.6282.4–299.7177.5139.9–224
2063293.6282.3–298.6181.4140.1–213.8
2064292.7282.9–299.1185.3140.1–215.2
2065293.8283.6–299.4183.5141.1–221.8
2066293.1283.4–299.8181.9146.3–219.3
2067292.9281.8–299.6178.8138.8–229.2
2068294.2282.5–300.6186144.2–228.4
2069292.9282.4–300183.7141.7–225.3
2070292.9282.8–300.8180.7140.4–228.2
2071294.2282.8–301.5184.9146.9–235.2
2072294.9285.1–301.9191.3155–226.1
2073294.9285.5–302.2191.6152.4–235.6
2074293.9283.3–300.3183.3149.7–231.7
2075294.1283.2–300.6183.8144.8–233
2076294.9284.6–302191.1150.9–233.2
2077295.3284.3–301.9191.3152.6–238.2
2078294.4285–302189156.6–233.8
2079294.8283.7–301.8190.5147–237.3
2080295.1283.4–302.8197.3150.7–241.2
2081295.1284.8–302.6195.6153.4–237.4
2082295.1284.9–301.3194.5157.3–237.3
2083295.4284.5–304.6193.2151–249.8
2084296285.1–304.4201.1152.2–246.7
2085296.6285–305204.2162.3–252.3
2086295.6284.8–303.6195156–248.7
2087295.3284.1–303.4196.7160.8–244.5
2088295.9284.5–305.5208.4154.7–246.9
2089295.6285–304.5201.3158.6–248.2
2090295.7285.8–304.6197.9160.7–253.6
2091297285–304.9210161.6–256
2092296.8286–305.7205.8158.3–253.6
2093296.3285.6–305.3207.2161.2–251.9
2094296.4285.8–305207.9161.3–250.6
2095297.9285.6–304.9214.2166.4–258.5
2096296285.9–307.5205.3159.8–257.4
2097296.5284.8–303.4206.6158.4–256.8
2098296.6286–307.3209.1161–258.3
2099297284.6–305.4208.5160.1–256
2100297.4286.5–305.2208158.6–258.6

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

Colombia vs Tanzania

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment