Angola vs Congo - Kinshasa

Angola vs Congo - Kinshasa: Tropical nights

Tropical nights in 2014: 61.1 nights in Angola and 248.5 nights in Congo - Kinshasa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Congo - Kinshasa, by 187.5 nights, or 4.07 times that in Angola.

nights a year · CMIP6

Angola vs Congo - Kinshasa: Tropical nightsTropical nights in 2014: 61.1 nights in Angola and 248.5 nights in Congo - Kinshasa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Congo - Kinshasa, by 187.5 nights, or 4.07 times that in Angola.
AngolaCongo - KinshasaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Congo - Kinshasa has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Angola at 173.4 nights and Congo - Kinshasa at 324.1 nights in 2100.

Every year

nights a year · CMIP6

YearAngolaCongo - Kinshasa
201461.1248.5
201362.3249.2
201263.6250.9
201159.9248.7
201058.9243.5
200956.9243
200854.5239.7
200754.6237.7
200654239
200553.8237.3
200455.8238.5
200355.3239.3
200253.2236.5
200155242.5
200051.4233.5
199948.1226.2
199850.5230.6
199747.9226.6
199643.2218.6
199543217.2
199441.6211.9
199335.9201.5
199235.3197.6
199145.5220.1
199046.7225.4
198943.8218.4
198842.7216.7
198742.7216.6
198642.7216.8
198539.3206.1
198438.2205.9
198337.8204.3
198240.8204.5
198142215.2
198039.9211.4
197939.1208.5
197838.6202.6
197738.6206.5
197636.8201.9
197538.1199
197437.4204
197338.7208.4
197236.6202.5
197136196.3
197036.6201.7
196936.5197.3
196834.5199
196732.4188.8
196634.3194.7
196534.2189
196431.5177.3
196330.5178.5
196237.6203.2
196137.3203.9
196038.7209.8
195938203.3
195837.3204.3
195738204
195635.1197.6
195537.5200.5
195436.5201
195336.2204.6
195237.3201.9
195137.4204.8
195036.5200.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAngolaCongo - Kinshasa
201567.946.7–89.4256.6217.3–277.7
201663.143.9–82.7247.7213.3–269.3
201768.248.7–87.9257.4226.6–278.3
201869.250.6–90.9258.8228.1–276.8
201969.547.5–97.7255.8222.6–278.7
20207351.1–97.1259.4227.4–282.3
202175.654.9–97.2262.6234.7–283.8
202278.758–105.7264.8235.1–288.5
202378.357.5–103.3263.9236.8–287.2
202483.457.6–108.1270.9237.9–290
202579.154–111.7266.1230.6–292.2
202682.455.4–117.5267.4226.8–294.5
202784.157.6–115.3268.6230.6–293.6
202885.862.6–117.4271.7239.7–295.9
20299165.8–120275.9249.3–296.6
203087.661.6–119.2270.4241.7–296.1
203192.363.9–122.5279.4246.6–297.5
20329566.1–124.5277.9249.4–302.3
203392.766.8–125276.9245.9–301.6
203491.466.7–131.8276.7247.4–305.6
203596.364.7–131.8281243.7–305.1
203695.964.2–129278.3244.7–304.9
2037103.870.4–136.7286.9256.1–308.6
2038105.376.7–136.8289261.5–307.1
203999.367–137.4284.7253.4–307.3
2040100.569.2–143.1284.5254.7–311.5
2041109.975.5–145.2289.9258.4–310.8
204210775.4–153.1286.9254.1–314.3
2043102.572.6–148.6285.9253–313
2044106.872.1–147.2288.3253.6–312.5
2045107.276.5–148.5289.4260.1–314.1
2046119.383.6–159.4298.3261.3–317.3
2047123.483.9–157.3298.5268.2–317.8
2048121.483.1–161.4299.1268–320.8
2049122.883.6–165.9300.3269.6–320.4
2050124.786.1–168.1297.8267.2–320.6
2051122.389.3–169.4298.4272.3–323.1
2052127.289.2–173.9300.2271.5–324
2053124.885.7–169.4298.7265.5–322.6
2054129.386.8–169.7300.6269.6–322.8
2055127.194.6–174.1301.9274.9–325.6
2056130.688.2–184.1302.1266.2–328.3
2057137.790.4–179.2305.1274.4–326.5
2058134.592.1–179.4305.3274.1–327.1
2059136.698.3–189.8305.4279–329.6
2060145.896.6–186.9310.7273.5–330.2
2061136.989.6–192.5307266.1–329.8
2062140.689.9–190308.8269.1–332
2063142.592.2–189.4308.4277.6–328.4
2064142.295.4–186.9310.6278.4–329.6
2065144.2101–193.2311.9282.4–331.2
2066144.2100.5–193.3310.4284.2–330.3
2067142.496.2–194.4308.8275.9–334
2068150.1103.4–196.7313.9280.8–334.6
2069145.898.5–197.6312.1270.6–332.7
2070143.196.6–202.5309.6278–334
2071151.7103.6–205.4312.6285–336.5
2072158.8110.5–197.3317287.7–334.6
2073159.8114–208.3316.2291.2–337.1
2074151.1103.1–205.9311.6284.5–334.9
2075148.7100.3–201.6312.3279.3–335.2
2076157.3106.3–204.8315.9288.7–337.1
2077161.8115.3–206.2318.5292.6–338.2
2078158.1114–211.5315287.3–337.1
2079158.3109.9–212.9314.8286.3–336
2080162.8109.6–212.5318.5286.8–337.8
2081161.1112.7–207.9318.4287.8–336.7
2082161.2114.4–207.5318.7289.8–336.5
2083159.9106–216.6317.4290.6–340.9
2084169.2117.7–215.2321.6293.8–339.8
2085175118.5–226324.4294.3–341.4
2086160.3115.4–221.3319290.7–340.7
2087162.4118.5–223.3318.3291.9–339.6
2088169.9116–218.4320.9292.9–340
2089166.9119.1–220322.1293.9–339.8
2090165.8119.6–223.4320.4295.5–341.7
2091175.2120.2–229.1325.4294.3–343.3
2092172.5119.9–228.5321.5294.4–342.4
2093169.9116.3–228.6323.1297.8–341.2
2094172.3118.2–221323.1296.5–341.1
2095179122.5–229.5325.6299.1–343.7
2096170.5117.6–228.9321.8296.2–344.1
2097169.6116.1–222.1321.5292.6–342
2098174.6115.2–234.3324.2295.1–342.8
2099170.7118.3–232.7322.8293.7–344.6
2100173.4123.5–231324.1292.1–344.1

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

Angola vs Congo - Kinshasa

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