Angola vs Niger

Angola vs Niger: Tropical nights

Tropical nights in 2014: 61.1 nights in Angola and 221.6 nights in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Niger, by 160.6 nights, or 3.63 times that in Angola.

nights a year · CMIP6

Angola vs Niger: Tropical nightsTropical nights in 2014: 61.1 nights in Angola and 221.6 nights in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Niger, by 160.6 nights, or 3.63 times that in Angola.
AngolaNigerCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Niger 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 Niger at 251.1 nights in 2100.

Every year

nights a year · CMIP6

YearAngolaNiger
201461.1221.6
201362.3216.1
201263.6220.8
201159.9220.1
201058.9219.1
200956.9217.2
200854.5216.8
200754.6216.9
200654214.3
200553.8213.6
200455.8213.6
200355.3215.5
200253.2214.6
200155213.4
200051.4211.2
199948.1210.4
199850.5207.7
199747.9211.5
199643.2208.6
199543208.3
199441.6207.8
199335.9202.6
199235.3203.4
199145.5209.4
199046.7208.1
198943.8206
198842.7203
198742.7204.9
198642.7206.8
198539.3203.9
198438.2201.8
198337.8200.5
198240.8201.9
198142204.3
198039.9200.6
197939.1200.5
197838.6202
197738.6203.8
197636.8201.7
197538.1199
197437.4200.6
197338.7202.6
197236.6200.7
197136200.8
197036.6199.8
196936.5196.1
196834.5200.3
196732.4196.6
196634.3198.2
196534.2199
196431.5199.2
196330.5196.7
196237.6201.1
196137.3198.2
196038.7203.2
195938201.6
195837.3199.2
195738201.1
195635.1199.6
195537.5199.7
195436.5201.1
195336.2196.5
195237.3197.9
195137.4199.8
195036.5200.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAngolaNiger
201567.946.7–89.4218.8202.8–235.8
201663.143.9–82.7217.7201.8–230.6
201768.248.7–87.9222.4205.2–237.4
201869.250.6–90.9220.5206.3–238.8
201969.547.5–97.7219.1201.8–238.1
20207351.1–97.1220.9206.9–234.7
202175.654.9–97.2222.8208.2–240.2
202278.758–105.7226.3209.7–239.2
202378.357.5–103.3223.2206.6–238.4
202483.457.6–108.1228.4214.3–242.9
202579.154–111.7226.7211.2–241
202682.455.4–117.5226.3210–243.1
202784.157.6–115.3228.5209.9–241.1
202885.862.6–117.4227.1211.9–240.2
20299165.8–120230.4213.3–247.1
203087.661.6–119.2226.4211.6–242.2
203192.363.9–122.5230.1210.8–247.1
20329566.1–124.5228.7212.3–241
203392.766.8–125229.9214.9–245.4
203491.466.7–131.8229.5212.1–244.9
203596.364.7–131.8232.3217.5–248
203695.964.2–129230.2213.7–244.6
2037103.870.4–136.7233.2215.1–246.5
2038105.376.7–136.8234.3218.2–249.7
203999.367–137.4231214.2–247.1
2040100.569.2–143.1230.8214.8–247.5
2041109.975.5–145.2232.6218.6–252.9
204210775.4–153.1233.8216.2–250.5
2043102.572.6–148.6232.5217.8–245.8
2044106.872.1–147.2233.8218.2–250.1
2045107.276.5–148.5233.6218.1–249.7
2046119.383.6–159.4234.3217–250.2
2047123.483.9–157.3238.4224.3–253.1
2048121.483.1–161.4238221.4–254
2049122.883.6–165.9237.7217.4–253
2050124.786.1–168.1238.2220.7–254.5
2051122.389.3–169.4236.3220.6–254.7
2052127.289.2–173.9239.5224.3–255.8
2053124.885.7–169.4236.3223.9–255.6
2054129.386.8–169.7239.4220.2–257.9
2055127.194.6–174.1238.6223.7–254.7
2056130.688.2–184.1239214.7–260.3
2057137.790.4–179.2240.4223–256.3
2058134.592.1–179.4238.2220.2–255.7
2059136.698.3–189.8243.9224.6–262.7
2060145.896.6–186.9239.8222.6–260
2061136.989.6–192.5242.5224.9–258.5
2062140.689.9–190241.6222.4–259.8
2063142.592.2–189.4241.3220.9–255.2
2064142.295.4–186.9244.4225.9–259.5
2065144.2101–193.2242.8226.5–262.4
2066144.2100.5–193.3245.6227–263.5
2067142.496.2–194.4240.7224.9–262
2068150.1103.4–196.7244224.3–265.4
2069145.898.5–197.6243.9225.5–261.6
2070143.196.6–202.5243.1225.6–261.3
2071151.7103.6–205.4246.1230.3–264
2072158.8110.5–197.3247.9229.9–263.7
2073159.8114–208.3243.4225.4–262.8
2074151.1103.1–205.9243.2224.4–264.6
2075148.7100.3–201.6244.3230.2–263.3
2076157.3106.3–204.8246.5228.5–266.6
2077161.8115.3–206.2250.1232.3–267.4
2078158.1114–211.5249.2230.8–264.5
2079158.3109.9–212.9244.4228.7–263.8
2080162.8109.6–212.5248.8230.4–267
2081161.1112.7–207.9247227.8–268.1
2082161.2114.4–207.5247230.6–264.4
2083159.9106–216.6247.3230.7–267.5
2084169.2117.7–215.2247.7229.4–265.2
2085175118.5–226248.9227–264.2
2086160.3115.4–221.3250.4230.9–269.5
2087162.4118.5–223.3245.8226.2–266.9
2088169.9116–218.4248.3226.7–271.1
2089166.9119.1–220251.9232.5–269.5
2090165.8119.6–223.4249.7227.7–267.4
2091175.2120.2–229.1248.9230.5–272.2
2092172.5119.9–228.5251229.8–274
2093169.9116.3–228.6249.9234.8–267
2094172.3118.2–221252.2234–267.5
2095179122.5–229.5251.1233–270.7
2096170.5117.6–228.9250.8234.8–270.4
2097169.6116.1–222.1250.2227.8–270.8
2098174.6115.2–234.3250.1228.1–268.5
2099170.7118.3–232.7251.9232.2–268.2
2100173.4123.5–231251.1234.5–271.5

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 Niger

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment