Egypt vs Tanzania

Egypt vs Tanzania: Tropical nights

Tropical nights in 2014: 145 nights in Egypt and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Egypt, by 38.7 nights, or 1.36 times that in Tanzania.

nights a year · CMIP6

Egypt vs Tanzania: Tropical nightsTropical nights in 2014: 145 nights in Egypt and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Egypt, by 38.7 nights, or 1.36 times that in Tanzania.
EgyptTanzaniaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Egypt has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Egypt at 183.4 nights and Tanzania at 208 nights in 2100.

Every year

nights a year · CMIP6

YearEgyptTanzania
2014145106.3
2013145105.5
2012145.1108.4
2011144.7109
2010143.5103.9
2009140.2101.1
2008142.6100.3
2007140.599.5
2006139.6100.4
200514098.7
2004141.3100.4
200314199.6
2002137.798.4
2001139101.5
2000134.894.9
1999135.594.2
199813396.8
199713493.5
1996132.189.6
1995130.288.5
1994129.885.4
1993123.681.2
1992126.180.1
1991129.789.6
1990129.791.1
198912689.1
1988124.387.6
1987125.888.5
1986128.989.4
1985125.783
1984119.483.1
1983119.482.1
1982120.784.8
1981122.688
1980124.985
1979119.285.5
1978122.682.9
1977121.384.1
1976123.281
1975121.980.8
1974123.182.2
1973123.583.6
1972120.181.4
1971120.780.7
1970119.781.8
1969118.379.5
1968119.479.1
1967116.277.5
1966116.178.1
1965112.978
1964116.473.8
1963120.273.1
1962118.981.1
1961118.782.6
1960123.683.9
1959123.281.4
1958120.782.1
1957122.480.9
1956122.780
1955119.481.6
1954120.881.4
1953121.380.6
1952120.781.4
1951121.282.1
1950118.880.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEgyptTanzania
2015149.6131.4–164.2114.895.2–137.4
2016147.7133.5–160.2108.391.6–125.6
2017150.8134.8–163.2114.893.6–137.8
2018147.4133.4–165.6116.497.4–137.1
2019149.6132.7–164113.495.2–133.2
2020150.8136.4–164.7119.396.2–143.5
2021152.1137.8–168.1119.5100.9–147.1
2022154138.1–170.6124.4105.3–147.4
2023154.4139–168.4122.1102.1–147.8
2024155.8141.7–168.5126.2100–150.1
2025154.5139.6–168.1124.6100.9–154
2026155.1144.5–165.9126.999.1–155.6
2027154.2139.5–166.3128102.9–147.7
2028154.5141.8–168.6129.9106.4–152.1
2029156.3139.9–169.5134.1111–156.5
2030156.3143.1–169.1129.4106.4–151.1
2031155.5141.5–171.2136.4115.9–158.4
2032158.3144.6–170.4135.1114–166.8
2033159.9143.8–172.9135.2110.9–161.9
2034159.8144.9–173.2134.7112.5–166.3
2035163.5146.6–175.8140.2114.6–165
2036156.2143.7–170.6137.8113.3–165.5
2037158.8142.9–173.8142.9121.5–168.9
2038164.9146.1–177.8147.9124.3–169.3
2039161.8146.1–180.1144.3117.6–171.3
2040161.6147.9–176.5140.5117–178
2041163.7149.4–177.3149.1121.7–175.6
2042166.5149.7–180.6146.3120.5–185.3
2043163.6150.3–176.8144.6117–173
2044162.2147–178147.7121.2–175.8
2045167.2152.5–181150.1125.2–183.4
2046166149–181.1161.5128.6–192.2
2047165.9151.8–181.5160.2129.7–194.4
2048167.2154.5–180.1158.8132.7–193.1
2049165.3148.7–177.9157.6131.1–196
2050170152.8–183159.7127.8–192
2051165.6152.7–179.5163.2135.5–197.8
2052167.3156–180.2161.9136.2–199.1
2053170.1153.6–183.8160.6127.5–197.7
2054169153.3–183163.2131.5–200.2
2055170.5153.5–183.3167.4137–208.3
2056168.3151.2–181.4166.4130.8–209.7
2057166.8150.7–185.3168134.6–208.3
2058171.8154.2–188.2168.7134.9–210.3
2059173.3157.8–188.6174.7144.9–219.5
2060170.5154.8–189.3181.7138.1–219.8
2061170.3155.1–184.6171.8135.5–218.1
2062172.1155.2–185.7177.5139.9–224
2063169.7152.8–182.6181.4140.1–213.8
2064172.3155.9–187.2185.3140.1–215.2
2065173.3159.7–189.9183.5141.1–221.8
2066170155–187.7181.9146.3–219.3
2067176.2161.5–190178.8138.8–229.2
2068174.6157.3–193.1186144.2–228.4
2069175.8158.8–191.7183.7141.7–225.3
2070173.3158.3–191.7180.7140.4–228.2
2071176.8158.1–194.7184.9146.9–235.2
2072177.6160.8–192.1191.3155–226.1
2073176159.2–189.3191.6152.4–235.6
2074171.9156.5–194.1183.3149.7–231.7
2075171.8157–191.9183.8144.8–233
2076177161–194.6191.1150.9–233.2
2077179.7157–194.1191.3152.6–238.2
2078178.4161–195189156.6–233.8
2079178.2160.2–193.7190.5147–237.3
2080178.5163–193.3197.3150.7–241.2
2081177.2160–192.8195.6153.4–237.4
2082178.8164.5–193.3194.5157.3–237.3
2083180.6164.4–195.7193.2151–249.8
2084181.4162.4–197.8201.1152.2–246.7
2085178.8163–196.7204.2162.3–252.3
2086181.9166.6–198.8195156–248.7
2087178156.4–194.3196.7160.8–244.5
2088177.8163.5–196208.4154.7–246.9
2089180.9163.5–198.9201.3158.6–248.2
2090179.9162.4–197.8197.9160.7–253.6
2091184.2165.1–198.9210161.6–256
2092180.3162.9–196.3205.8158.3–253.6
2093181.1166.1–198.2207.2161.2–251.9
2094185.4168–198.9207.9161.3–250.6
2095181.9165.5–197.3214.2166.4–258.5
2096183.1163.5–200.3205.3159.8–257.4
2097181.5165.4–198.9206.6158.4–256.8
2098181.7162.1–198.8209.1161–258.3
2099179.9164.2–197.8208.5160.1–256
2100183.4162.9–198.1208158.6–258.6

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

Egypt vs Tanzania

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment