Madagascar vs Zimbabwe: Days above 35 °C
Days above 35 °C in 2014: 3.9 days in Madagascar and 15.9 days in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Zimbabwe, by 12 days, or 4.04 times that in Madagascar.
MadagascarZimbabwe
Watch it change on the mapChange since 1950, days a year · CMIP6
Latest figures
days a year · CMIP6
| Country | Latest | 10 years before | Projected |
|---|---|---|---|
| Madagascar | 3.9 2014 | 3.3 | 29.3 2100 |
| Zimbabwe | 15.9 2014 | 16.2 | 58.2 2100 |
What the numbers say
- Zimbabwe 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 29.3 days and Zimbabwe at 58.2 days in 2100.
Every year
days a year · CMIP6
| Year | Madagascar | Zimbabwe |
|---|---|---|
| 2014 | 3.9 | 15.9 |
| 2013 | 4.4 | 17.1 |
| 2012 | 3.6 | 15.7 |
| 2011 | 4 | 12.5 |
| 2010 | 3.7 | 15.3 |
| 2009 | 2.7 | 13 |
| 2008 | 3 | 13.5 |
| 2007 | 3.2 | 14.3 |
| 2006 | 2.5 | 12.9 |
| 2005 | 3.3 | 14.6 |
| 2004 | 3.3 | 16.2 |
| 2003 | 3.6 | 15.4 |
| 2002 | 3 | 14.9 |
| 2001 | 3 | 14.6 |
| 2000 | 2.8 | 15.1 |
| 1999 | 2.3 | 12.5 |
| 1998 | 2.5 | 13.2 |
| 1997 | 2.4 | 12 |
| 1996 | 2 | 9.7 |
| 1995 | 1.5 | 10.5 |
| 1994 | 1.8 | 9.8 |
| 1993 | 1.5 | 7.4 |
| 1992 | 1.4 | 7.9 |
| 1991 | 1.6 | 8.9 |
| 1990 | 2.8 | 10.9 |
| 1989 | 2.5 | 12.1 |
| 1988 | 2.5 | 11.6 |
| 1987 | 2 | 10.5 |
| 1986 | 2.5 | 10.4 |
| 1985 | 1.7 | 8.9 |
| 1984 | 2 | 8.9 |
| 1983 | 1.8 | 9 |
| 1982 | 1.3 | 9.2 |
| 1981 | 1.9 | 9.7 |
| 1980 | 1.9 | 10 |
| 1979 | 1.8 | 9.3 |
| 1978 | 1.4 | 8 |
| 1977 | 1.7 | 9.4 |
| 1976 | 1.4 | 7.4 |
| 1975 | 1.7 | 10 |
| 1974 | 1.8 | 11 |
| 1973 | 1.5 | 10 |
| 1972 | 1.5 | 8.2 |
| 1971 | 1.2 | 8.4 |
| 1970 | 1.4 | 9.1 |
| 1969 | 1.9 | 9.3 |
| 1968 | 1.6 | 8.6 |
| 1967 | 1 | 7.4 |
| 1966 | 1.4 | 7.5 |
| 1965 | 1.3 | 8.4 |
| 1964 | 1.3 | 6.2 |
| 1963 | 1.1 | 6.3 |
| 1962 | 1.7 | 9.1 |
| 1961 | 1.5 | 8.8 |
| 1960 | 1.7 | 9 |
| 1959 | 1.8 | 9.6 |
| 1958 | 1.6 | 10.2 |
| 1957 | 1.3 | 9.9 |
| 1956 | 1.3 | 7.9 |
| 1955 | 2.1 | 11.2 |
| 1954 | 1.6 | 8.8 |
| 1953 | 1.4 | 8.6 |
| 1952 | 1.5 | 9.4 |
| 1951 | 1.4 | 8.3 |
| 1950 | 1.8 | 9 |
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
| Year | Madagascar | Zimbabwe |
|---|---|---|
| 2015 | 4.81.7–11.4 | 17.19.2–27.4 |
| 2016 | 4.31.4–10.8 | 17.37.9–31.7 |
| 2017 | 4.71.8–9.6 | 189–29.3 |
| 2018 | 5.21.3–12.6 | 18.78.6–33.5 |
| 2019 | 5.11.6–11.3 | 18.48.7–28.5 |
| 2020 | 5.61.9–10.8 | 2211.6–34.5 |
| 2021 | 4.51.4–10.4 | 17.48.9–31.5 |
| 2022 | 6.31.9–12.3 | 22.111.3–34.2 |
| 2023 | 6.82.3–12.9 | 23.914.6–37.2 |
| 2024 | 61.9–11.4 | 22.712.2–35.4 |
| 2025 | 5.41.7–13.2 | 19.47.7–35.5 |
| 2026 | 6.12–14.7 | 23.213.8–35.1 |
| 2027 | 7.52.5–14.1 | 24.313.2–47.8 |
| 2028 | 6.62.3–13.4 | 23.213.4–42.3 |
| 2029 | 7.71.8–16 | 26.913.5–41.7 |
| 2030 | 72.4–15.7 | 24.713.5–44.4 |
| 2031 | 7.22.9–14.6 | 21.710.1–43.4 |
| 2032 | 7.73.1–19.1 | 23.913.4–37.9 |
| 2033 | 8.83.1–16.9 | 28.314.5–44.9 |
| 2034 | 9.43.5–18.6 | 30.915.4–52.5 |
| 2035 | 9.54–19.4 | 2714.6–44 |
| 2036 | 7.73–15.4 | 25.613–44.1 |
| 2037 | 10.14–18 | 29.415.2–46.3 |
| 2038 | 10.15–17.2 | 3316.3–54 |
| 2039 | 9.63.5–19.5 | 26.413.6–43.8 |
| 2040 | 8.33.6–18.8 | 2414.1–43.5 |
| 2041 | 9.13.8–19 | 29.216.6–45.4 |
| 2042 | 10.95.4–21.4 | 30.917.6–52.3 |
| 2043 | 10.53.5–19.2 | 32.416–51.2 |
| 2044 | 10.33.5–21.1 | 30.117.1–50.7 |
| 2045 | 9.34.2–18.7 | 29.414.1–46.6 |
| 2046 | 11.73.8–20.8 | 3318.1–50.4 |
| 2047 | 12.64.4–24.6 | 32.717.6–52.7 |
| 2048 | 12.95.5–23.9 | 35.519.2–56.3 |
| 2049 | 12.34.8–23.1 | 34.619.8–57.8 |
| 2050 | 13.35–24.3 | 38.920–58.3 |
| 2051 | 13.46.8–25.4 | 37.319.7–65.6 |
| 2052 | 14.96.6–26.1 | 42.321.3–67.1 |
| 2053 | 13.35.3–27 | 35.519.9–56.4 |
| 2054 | 14.36.1–29.8 | 43.823–73.8 |
| 2055 | 17.36.2–30.3 | 40.622.1–66.4 |
| 2056 | 15.35.4–29.9 | 37.819.9–64.7 |
| 2057 | 16.86.5–27.9 | 36.319.8–63.3 |
| 2058 | 15.76.3–31.7 | 38.519.1–60.6 |
| 2059 | 16.48.1–29.1 | 46.824.8–70.1 |
| 2060 | 14.85.7–28.4 | 42.620.1–66.8 |
| 2061 | 156.3–28.7 | 42.920.8–66.2 |
| 2062 | 15.97.6–32.4 | 39.224.1–65.6 |
| 2063 | 198–34.3 | 40.424.4–62.1 |
| 2064 | 177.6–27.5 | 4122.2–59.1 |
| 2065 | 18.19–34.7 | 4523.3–75.1 |
| 2066 | 17.66.9–35.1 | 42.423.1–67.5 |
| 2067 | 15.87.1–31.2 | 38.622.2–72.6 |
| 2068 | 19.87–39.1 | 42.622.4–65 |
| 2069 | 19.66.1–36 | 45.524.4–72.1 |
| 2070 | 198.1–38.8 | 4223.8–65.3 |
| 2071 | 19.67.3–40.8 | 43.622.9–68.4 |
| 2072 | 21.58–38.1 | 47.623.8–70.9 |
| 2073 | 23.48.7–42.3 | 52.827.6–86.9 |
| 2074 | 208.4–40.3 | 49.329–82.9 |
| 2075 | 208.7–36.6 | 41.824.5–70.4 |
| 2076 | 24.29.4–38.2 | 44.125.3–76.6 |
| 2077 | 21.78.3–40 | 47.728.3–86.8 |
| 2078 | 22.310.2–42.8 | 47.125–73.2 |
| 2079 | 217.4–39.9 | 48.326.6–83 |
| 2080 | 25.17.6–41.3 | 54.828.1–82.5 |
| 2081 | 22.18.9–38.4 | 49.525.8–88.8 |
| 2082 | 22.29.7–36.4 | 46.129–81.5 |
| 2083 | 21.69.8–41.3 | 46.623.8–90.9 |
| 2084 | 239.5–39 | 52.128.9–75.3 |
| 2085 | 25.210.3–46.6 | 57.231.7–91.8 |
| 2086 | 22.311.7–41.2 | 49.230–75.3 |
| 2087 | 24.910.5–44.3 | 52.130.2–87.7 |
| 2088 | 24.87.7–48.5 | 58.629.2–86.4 |
| 2089 | 26.29.8–52.5 | 55.432–84.2 |
| 2090 | 26.610.2–49.3 | 54.730.4–83.6 |
| 2091 | 26.59.7–52.9 | 5226.4–87.2 |
| 2092 | 26.99.5–48.7 | 56.332.9–86.5 |
| 2093 | 26.28.8–53.6 | 53.624.6–86.7 |
| 2094 | 26.710.8–45.3 | 61.331.2–91.4 |
| 2095 | 28.112.6–44.9 | 56.329.4–87.6 |
| 2096 | 25.19.8–51 | 52.230.1–86.6 |
| 2097 | 22.99.9–47.2 | 48.627–81.7 |
| 2098 | 26.79.7–47 | 55.831.3–98.2 |
| 2099 | 2810.4–48.3 | 54.931.1–96.5 |
| 2100 | 29.312.2–51.1 | 58.229.4–85.2 |
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