Mozambique vs Tanzania

Mozambique vs Tanzania: Tropical nights

Tropical nights in 2014: 186.3 nights in Mozambique and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mozambique, by 80 nights, or 1.75 times that in Tanzania.

Watch it change on the map

nights a year · CMIP6

Mozambique vs Tanzania: Tropical nightsTropical nights in 2014: 186.3 nights in Mozambique and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mozambique, by 80 nights, or 1.75 times that in Tanzania.
MozambiqueTanzaniaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Mozambique 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 254.4 nights and Tanzania at 208 nights in 2100.

Every year

nights a year · CMIP6

YearMozambiqueTanzania
2014186.3106.3
2013186.9105.5
2012185.2108.4
2011184.1109
2010182.2103.9
2009178.2101.1
2008176.8100.3
2007178.999.5
2006177.4100.4
2005176.998.7
2004181100.4
200318099.6
2002177.198.4
2001180.6101.5
2000173.694.9
1999171.594.2
1998174.196.8
1997169.993.5
1996164.789.6
1995165.888.5
1994163.185.4
1993155.581.2
199215680.1
1991167.589.6
1990170.291.1
198916489.1
1988166.487.6
198716688.5
1986166.689.4
1985159.383
1984161.183.1
1983159.782.1
1982160.684.8
1981164.588
1980161.985
1979162.285.5
1978160.282.9
1977160.284.1
1976157.481
1975157.780.8
1974159.182.2
1973160.483.6
1972157.681.4
1971155.680.7
1970159.781.8
1969157.879.5
196815379.1
1967152.877.5
1966152.578.1
1965153.178
1964145.973.8
1963146.873.1
1962158.581.1
1961158.882.6
1960160.683.9
1959159.781.4
1958159.582.1
1957156.980.9
1956153.480
1955159.681.6
1954155.481.4
1953156.880.6
1952156.681.4
1951157.482.1
1950156.380.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMozambiqueTanzania
2015191170.1–212.1114.895.2–137.4
2016187.6168.6–208.2108.391.6–125.6
2017190.1169.4–210.1114.893.6–137.8
2018189.8163.6–212.8116.497.4–137.1
2019189.7171.9–208.8113.495.2–133.2
2020191.3169–213.8119.396.2–143.5
2021193.1172.7–212.9119.5100.9–147.1
2022199.9176.3–216.7124.4105.3–147.4
2023196.8176.4–217.3122.1102.1–147.8
2024199.7173.4–222.8126.2100–150.1
2025195.7173–219.1124.6100.9–154
2026197.7172.6–219.3126.999.1–155.6
2027199.9177.9–221.8128102.9–147.7
2028202.5181.1–221.1129.9106.4–152.1
2029207.6187.3–227.3134.1111–156.5
2030203.6183.2–223.8129.4106.4–151.1
2031207.3188.7–225136.4115.9–158.4
2032207.4186.7–230.9135.1114–166.8
2033206.1180.7–226.1135.2110.9–161.9
2034206.3181.3–227.7134.7112.5–166.3
2035208.2184.1–233.6140.2114.6–165
2036208.3183.8–226.4137.8113.3–165.5
2037213.7191.8–234.3142.9121.5–168.9
2038218.4195.7–240.9147.9124.3–169.3
2039212.6192.3–233.5144.3117.6–171.3
2040212.7189–233.9140.5117–178
2041213.1187.1–238149.1121.7–175.6
2042214.9190.4–241.3146.3120.5–185.3
2043216196.2–238.9144.6117–173
2044220.2196.1–242.1147.7121.2–175.8
2045217.2198.6–237.6150.1125.2–183.4
2046224.4200.5–247.6161.5128.6–192.2
2047224.5201.3–246.3160.2129.7–194.4
2048225.7205–247.5158.8132.7–193.1
2049226.4199.2–247.8157.6131.1–196
2050225.5198.1–246.6159.7127.8–192
2051227.5206.2–248.7163.2135.5–197.8
2052230.5208.6–255.2161.9136.2–199.1
2053226.3200.4–250160.6127.5–197.7
2054227.8203.9–256.1163.2131.5–200.2
2055231.5208.3–254.4167.4137–208.3
2056227.8204.6–253.1166.4130.8–209.7
2057227.6205.7–252.2168134.6–208.3
2058230.2208.3–251.8168.7134.9–210.3
2059235.5212.5–261.4174.7144.9–219.5
2060237.5208.9–257.9181.7138.1–219.8
2061232.1204.8–256.1171.8135.5–218.1
2062233.2208.6–257.9177.5139.9–224
2063233.3207.3–261.6181.4140.1–213.8
2064234.6209.3–255.8185.3140.1–215.2
2065236208.7–261183.5141.1–221.8
2066239.4213.6–261.8181.9146.3–219.3
2067235.5205.9–259.4178.8138.8–229.2
2068237.7211–264.3186144.2–228.4
2069241.1212.2–263.4183.7141.7–225.3
2070240.7212.1–266180.7140.4–228.2
2071244.1214.3–272.8184.9146.9–235.2
2072244.7215.8–267.8191.3155–226.1
2073246214.2–267.6191.6152.4–235.6
2074242.2219.9–271.1183.3149.7–231.7
2075244.4215.6–267.9183.8144.8–233
2076240.8211–264.8191.1150.9–233.2
2077241.4214.7–272.4191.3152.6–238.2
2078245.4220.8–271.1189156.6–233.8
2079244.1214.3–276.4190.5147–237.3
2080246.1221–273.6197.3150.7–241.2
2081245.6214.5–268.1195.6153.4–237.4
2082246.9220.6–268.3194.5157.3–237.3
2083247.3217.4–276.4193.2151–249.8
2084248.5223.3–270.9201.1152.2–246.7
2085253.4221.5–277.6204.2162.3–252.3
2086242.9216.4–272.3195156–248.7
2087247.4222.8–271.3196.7160.8–244.5
2088253221.1–274.9208.4154.7–246.9
2089251.6221.9–277.3201.3158.6–248.2
2090249.9218.6–277.9197.9160.7–253.6
2091253.2221.4–280.8210161.6–256
2092252.7221.5–279.5205.8158.3–253.6
2093256221.7–279.4207.2161.2–251.9
2094251.8221–280.3207.9161.3–250.6
2095255.6225.8–278.1214.2166.4–258.5
2096254.7225.8–280.4205.3159.8–257.4
2097253.2221.8–281.6206.6158.4–256.8
2098256.1225.2–279.6209.1161–258.3
2099254.9223.4–278.7208.5160.1–256
2100254.4226.1–279.1208158.6–258.6

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

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