Madagascar vs Tanzania

Madagascar vs Tanzania: Tropical nights

Tropical nights in 2014: 138.3 nights in Madagascar and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Madagascar, by 32 nights, or 1.3 times that in Tanzania.

Watch it change on the map

nights a year · CMIP6

Madagascar vs Tanzania: Tropical nightsTropical nights in 2014: 138.3 nights in Madagascar and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Madagascar, by 32 nights, or 1.3 times that in Tanzania.
MadagascarTanzaniaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Madagascar has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Madagascar at 198.5 nights and Tanzania at 208 nights in 2100.

Every year

nights a year · CMIP6

YearMadagascarTanzania
2014138.3106.3
2013138105.5
2012138.3108.4
2011136.8109
2010134.2103.9
2009133.5101.1
2008132.3100.3
2007133.199.5
2006131.6100.4
2005130.398.7
2004133.5100.4
200313199.6
2002131.898.4
2001131.7101.5
2000127.494.9
1999128.494.2
1998128.696.8
1997125.393.5
1996121.889.6
1995123.388.5
1994121.885.4
199311681.2
1992116.680.1
1991124.989.6
1990126.291.1
198912489.1
1988123.887.6
1987122.888.5
1986123.889.4
198512083
1984118.683.1
1983116.582.1
1982121.884.8
1981122.188
1980120.385
1979120.785.5
1978119.382.9
197711984.1
1976117.481
1975116.580.8
1974119.582.2
197311983.6
197211781.4
1971116.380.7
197011781.8
1969116.379.5
1968113.179.1
196711377.5
1966114.178.1
1965112.278
1964109.673.8
1963109.773.1
1962115.381.1
1961118.582.6
1960118.283.9
195911981.4
1958118.782.1
1957117.680.9
1956115.580
1955116.681.6
1954115.981.4
1953116.480.6
1952117.481.4
195111682.1
1950116.380.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMadagascarTanzania
2015142.8126.7–159.3114.895.2–137.4
2016137.8122.2–156108.391.6–125.6
2017143.1125.6–159.4114.893.6–137.8
2018143.7125.9–160.3116.497.4–137.1
2019143.4124.4–162.3113.495.2–133.2
2020143.4125.2–159119.396.2–143.5
2021145.4128.8–160.4119.5100.9–147.1
2022150.4133.4–165.2124.4105.3–147.4
2023149.7132.1–166122.1102.1–147.8
2024150.7131.4–167.9126.2100–150.1
2025149128.8–169.1124.6100.9–154
2026150.1127.4–169.9126.999.1–155.6
2027151.8131.9–170.8128102.9–147.7
2028154.9137.7–173.1129.9106.4–152.1
2029155.7135.2–173.8134.1111–156.5
2030154.8136.4–171.3129.4106.4–151.1
2031158.1141.3–174.8136.4115.9–158.4
2032157.9136.2–178.4135.1114–166.8
2033158.9136.7–177.8135.2110.9–161.9
2034158.6140.6–179.6134.7112.5–166.3
2035161.1140.2–181.6140.2114.6–165
2036159.5139.4–177.1137.8113.3–165.5
2037165.8144.7–182.8142.9121.5–168.9
2038166.5149.3–183.9147.9124.3–169.3
2039164.1145.1–183.9144.3117.6–171.3
2040162.8144.5–184.8140.5117–178
2041165.8143.5–183.9149.1121.7–175.6
2042165.1144.3–188.4146.3120.5–185.3
2043165.6148.5–184.7144.6117–173
2044167.3145.8–187147.7121.2–175.8
2045166.9147.1–187.1150.1125.2–183.4
2046171.4149.6–193161.5128.6–192.2
2047171.7148.8–193.4160.2129.7–194.4
2048173.7151.7–193.6158.8132.7–193.1
2049172.2151.4–192.9157.6131.1–196
2050174.4150.5–193.6159.7127.8–192
2051175154.3–195.1163.2135.5–197.8
2052176153.8–196.7161.9136.2–199.1
2053176.6151.1–197.8160.6127.5–197.7
2054175.5152.8–199.2163.2131.5–200.2
2055179.2157.3–196.8167.4137–208.3
2056178.8156.5–199.7166.4130.8–209.7
2057177.7155.5–201168134.6–208.3
2058180.5158.9–202.4168.7134.9–210.3
2059181.8158.3–202.5174.7144.9–219.5
2060185.1159.5–207.8181.7138.1–219.8
2061180.6157.6–203.8171.8135.5–218.1
2062180.6157.1–205.6177.5139.9–224
2063185156.8–210.7181.4140.1–213.8
2064184.7159.1–205.7185.3140.1–215.2
2065183.8157.1–208.5183.5141.1–221.8
2066187.3159.6–211181.9146.3–219.3
2067184.9155.9–208.9178.8138.8–229.2
2068187.5161.7–211.1186144.2–228.4
2069187.5162–211.3183.7141.7–225.3
2070187.8160.4–213.6180.7140.4–228.2
2071190.7162.7–216.6184.9146.9–235.2
2072191.8168.2–215.8191.3155–226.1
2073191.4168.7–214.5191.6152.4–235.6
2074189.4162.6–217.7183.3149.7–231.7
2075189.3163.8–214.2183.8144.8–233
2076191.1164.3–214191.1150.9–233.2
2077191.9168.8–217.1191.3152.6–238.2
2078190.1166.5–219.3189156.6–233.8
2079190.1163.7–216.2190.5147–237.3
2080194.8167.7–219.4197.3150.7–241.2
2081191.7166.7–218.1195.6153.4–237.4
2082193.8169.2–216.7194.5157.3–237.3
2083194.6166.1–218.1193.2151–249.8
2084197.9170–219.7201.1152.2–246.7
2085197.8172.3–223.7204.2162.3–252.3
2086192.9169.6–220195156–248.7
2087195.2170.4–220.1196.7160.8–244.5
2088198.1165.1–225.5208.4154.7–246.9
2089196.3167.9–227.6201.3158.6–248.2
2090197.5172.4–228.1197.9160.7–253.6
2091199.2172.7–226.7210161.6–256
2092202.4170.7–226.6205.8158.3–253.6
2093202.1172.3–230.5207.2161.2–251.9
2094198.3168.6–224207.9161.3–250.6
2095200.7171.7–225.1214.2166.4–258.5
2096199.8173.6–226.3205.3159.8–257.4
2097201.2170–227.6206.6158.4–256.8
2098201.1170.7–227.2209.1161–258.3
2099198.3173.8–225.8208.5160.1–256
2100198.5173.3–227.7208158.6–258.6

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

Madagascar vs Tanzania

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment