Mozambique vs Niger

Mozambique vs Niger: Days above 35 °C

Days above 35 °C in 2014: 18.3 days in Mozambique and 209.1 days in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Niger, by 190.8 days, or 11 times that in Mozambique.

days a year · CMIP6

Mozambique vs Niger: Days above 35 °CDays above 35 °C in 2014: 18.3 days in Mozambique and 209.1 days in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Niger, by 190.8 days, or 11 times that in Mozambique.
MozambiqueNigerCMIP6 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 Mozambique at 59.1 days and Niger at 242.2 days in 2100.

Every year

days a year · CMIP6

YearMozambiqueNiger
201418.3209.1
201321.1205.4
201217.2206
201116207.1
201016.5205.9
200915.9204.2
200815.6204.4
200717201.3
200615.4198.7
200515.7200.6
200416199.3
200317.9201.3
200216.4202.4
200116.6201.1
200016197.9
199913.9196.9
199815.4192.7
199714.2197.8
199613.1194.5
199512193.7
199410.8193.1
19938.9186.1
199210187.1
199111.8195.9
199013.3192.7
198913.8192.9
198813.8190.4
198712.7190.2
198612.6196.3
198510.4189.1
198410.8189.6
198310.8189.7
198210.6187.5
198111.9190.9
198011191.8
197911.4189.1
197810186.3
197711.3190.8
19769.7189.5
197512.1185
197412.8184.8
197311.1192.4
197211.2189.8
197110186.7
197011.7188.9
196912184.3
196810.8188.6
19678.8183.6
19669.4185.4
196510.7185.7
19647.7181.4
19639.3179.4
196211.6189
196111.6186.5
196011.8194.1
195912.2190.2
195812.8186.8
195711.2194
19569.7188.3
195512.5188.8
195411.1189
195310.3188.3
195210.8188.4
19519.9190.5
195011.3189.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMozambiqueNiger
201520.110–33.4205.1180.6–228.1
2016199.5–34.6204.2180.2–222.1
201720.210.9–34.6210.9185.3–233.6
201820.99.6–35.4206183.2–227.4
201919.910.7–31.7206.7178.9–231.2
202022.211.7–37.3207.9183.1–226.7
202118.79.6–32.2209189.8–228
20222312.6–37.4213190.1–231
202324.111.6–39.7207186.6–229.1
202424.114–38.1216.5197.3–234.6
2025227.9–40.6214.6195.3–232
202623.413–40.1210.3178.5–235.6
202726.213.1–49.9216.5188.8–235.6
202825.114.1–39.6217188.5–233.4
202927.512.3–45.4218.1194.8–237.8
203026.213.2–46217.1191.5–237
20312512.7–43.2215195.1–239.7
203226.515.1–40.9213.2192.1–232
203330.714–47.1217.2196.1–237
203429.516.2–48.3216.7191–240
203529.515.8–49.4219.7195.8–235.8
203626.814.3–45.4216.2196–236.1
203732.717.6–51.1222.3199.9–240.2
203834.318–53.5219.5198.9–243.8
203930.113.8–48.9218.3195.6–242.5
204027.915.4–47.9218.7200.4–240.1
204129.815.7–50.5222.2200.4–245
204233.418.1–50.1222201.7–244.6
204331.416.9–56.7220.5198.6–236.4
20443216–55.5218.2198.9–241.6
204531.718–46.1222202–242
204634.118.4–51.3225.1198–243
204736.621.6–59.3229.1204.3–245.7
204836.322.3–58.8225.8200.7–247.3
20493418.6–57.4222.4197.3–242.8
205040.221.9–63.3224.7203.3–246.8
20514123.5–69.6224.6203.8–242.1
205242.322.5–67229.7204.6–252.7
205338.816.6–62.1225.2204.6–248.6
20544321.5–71.6229199.7–252.3
205542.423.5–70.7230.7210.5–249.6
205640.619.9–69.6229.8199.3–254.5
205742.221.9–67.8231.1205.6–251.8
205842.123.8–68.3226.7203.5–249.9
205948.226.6–69233.3210.7–256
206043.822.1–68.9230.9206.7–251.3
206143.421.8–65.5232.3207.4–256.9
206243.223.3–72.1233211.8–254.7
206344.226.7–71.1228.8206.1–248.5
206443.325.1–66.1232.3207.9–252.9
206547.823.2–78.9233.4211.8–253.6
206646.724.4–77.2236.5212.7–261.5
206739.722.3–71.6229.1206.5–253.3
206846.923.9–80.2233.9210.6–259.9
206947.925.4–78.3233.2210.6–253.7
207043.424.1–73.6235.8209.1–254.8
207150.924–79.9237.9218.7–258.9
207252.526.1–78.8237.9218–259.8
207355.726.7–85.9235.1210–259.4
207448.227.5–82.4235.2212.8–261.3
207548.826.1–77.1239.3212.9–259.7
207648.425.3–80.7238.9215.3–262.6
207752.230.5–85.4242218.1–264
207851.326.3–81.4241.4216.1–262.3
207950.928.6–84.5235.6213.1–259.6
208055.329.2–86.1238.2215.8–263.6
208153.225–83.8240.1217.1–267.5
208248.228.9–82.3238215.5–261.3
208352.429.3–84.7242.5216.2–264
208453.729.4–80.2239.2214.3–261.4
208558.431.9–88.8241.7216.6–264.8
208651.229.5–81.6240.9220–270.6
208752.328.8–85.2236.9208.4–262.9
208859.226–92.2236.9216.5–271.3
20895531.8–84.3242.4215.5–267.5
209057.627.1–92.2242.1213.6–262.2
209159.926.4–92.9241.3218.9–266.5
209259.230.5–94.8245217.6–266.3
209355.726.5–95.5242.2219.3–262.9
209460.327.8–93.8245.1220.3–263.4
209560.931.9–87.9244.1218.8–266.6
209658.929.2–95.6241.9225.1–264.5
209752.827.2–87.8241.4218–265.6
20985930.9–94.6240.8215.3–263.5
209960.330.9–92.3247.1221.7–265.4
210059.132.4–93.7242.2221.3–266.4

Each country on its own

Good to know

  • Days in a year whose highest temperature passes 35 °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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