Austria vs Brazil
Austria vs Brazil: Tropical nights
Tropical nights in 2014: 0.8 nights in Austria and 282 nights in Brazil, in the CMIP6 climate models’ median run. In 2014 the value was higher in Brazil, by 281.2 nights, or 340 times that in Austria.
nights a year · CMIP6
What the numbers say
- Brazil has been higher in every year both have figures for since 1950.
- The CMIP6 model median (SSP2-4.5, middle of the road) puts Austria at 6.7 nights and Brazil at 317.3 nights in 2100.
Every year
nights a year · CMIP6
| Year | Austria | Brazil |
|---|---|---|
| 2014 | 0.8 | 282 |
| 2013 | 0.4 | 282.5 |
| 2012 | 0.5 | 283.6 |
| 2011 | 0.6 | 281.8 |
| 2010 | 0.5 | 280.2 |
| 2009 | 0.3 | 279.2 |
| 2008 | 0.3 | 277.8 |
| 2007 | 0.2 | 275.9 |
| 2006 | 0.4 | 275.4 |
| 2005 | 0.4 | 275.8 |
| 2004 | 0.4 | 278.5 |
| 2003 | 0.3 | 276.7 |
| 2002 | 0.2 | 276.2 |
| 2001 | 0.3 | 277.7 |
| 2000 | 0.3 | 273.3 |
| 1999 | 0.3 | 271 |
| 1998 | 0.1 | 273.6 |
| 1997 | 0.1 | 270.9 |
| 1996 | 0.2 | 264.7 |
| 1995 | 0.2 | 263.8 |
| 1994 | 0.1 | 263.6 |
| 1993 | 0 | 258.3 |
| 1992 | 0 | 252.8 |
| 1991 | 0.2 | 269.7 |
| 1990 | 0.2 | 272.5 |
| 1989 | 0.2 | 267.1 |
| 1988 | 0.1 | 264.7 |
| 1987 | 0.1 | 265.9 |
| 1986 | 0.1 | 265.7 |
| 1985 | 0.1 | 260.6 |
| 1984 | 0 | 261.1 |
| 1983 | 0.1 | 255.9 |
| 1982 | 0 | 264.8 |
| 1981 | 0 | 265.3 |
| 1980 | 0.1 | 262 |
| 1979 | 0 | 261.2 |
| 1978 | 0.1 | 259.7 |
| 1977 | 0 | 261.8 |
| 1976 | 0.1 | 258.4 |
| 1975 | 0.1 | 252.4 |
| 1974 | 0.1 | 258.7 |
| 1973 | 0 | 261 |
| 1972 | 0.1 | 258.1 |
| 1971 | 0 | 256.5 |
| 1970 | 0 | 254.5 |
| 1969 | 0.1 | 255.1 |
| 1968 | 0 | 254.9 |
| 1967 | 0.1 | 250.3 |
| 1966 | 0 | 254.5 |
| 1965 | 0 | 250.8 |
| 1964 | 0.1 | 246.2 |
| 1963 | 0.1 | 241.9 |
| 1962 | 0 | 257.9 |
| 1961 | 0.1 | 258.2 |
| 1960 | 0 | 260.3 |
| 1959 | 0.2 | 255.7 |
| 1958 | 0 | 258.1 |
| 1957 | 0 | 256.6 |
| 1956 | 0.1 | 251.2 |
| 1955 | 0.1 | 257.2 |
| 1954 | 0 | 258 |
| 1953 | 0.1 | 255.2 |
| 1952 | 0.1 | 255.8 |
| 1951 | 0 | 256.3 |
| 1950 | 0.1 | 254.4 |
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
| Year | Austria | Brazil |
|---|---|---|
| 2015 | 0.60.1–2 | 284257.6–299.5 |
| 2016 | 0.70.1–2.6 | 281.5261.4–296.3 |
| 2017 | 0.90.1–3.4 | 284.1263.2–297.8 |
| 2018 | 0.80.2–3.2 | 283.4263.1–298.8 |
| 2019 | 0.90.2–2.9 | 283.7262.9–302.4 |
| 2020 | 1.30.2–3.4 | 286.3264.2–303.6 |
| 2021 | 0.70.1–3.1 | 287.9266.9–302.3 |
| 2022 | 1.10.1–3.4 | 289.6270.7–303.9 |
| 2023 | 0.90.1–3.9 | 287.3270.5–303 |
| 2024 | 0.90.1–3.4 | 291.5268.2–304.6 |
| 2025 | 1.60–4 | 289.6269.1–304.8 |
| 2026 | 1.40.2–4.4 | 289.7266.2–305.1 |
| 2027 | 1.10.1–3.6 | 289.5269.1–303.7 |
| 2028 | 1.30.3–4.3 | 291.2271.9–306 |
| 2029 | 1.50.2–5.5 | 295.5276.3–309.6 |
| 2030 | 1.20.1–4.2 | 292.2269.1–306.9 |
| 2031 | 1.30.2–4.1 | 295.3274–308.9 |
| 2032 | 1.50.2–4.9 | 296.8280.1–310.9 |
| 2033 | 1.60.1–5 | 295.4273.3–308.5 |
| 2034 | 20.1–5.8 | 294.3273.5–311.8 |
| 2035 | 1.90.3–5.3 | 295.2274.4–310.9 |
| 2036 | 2.30.4–7 | 295.1278.2–307.8 |
| 2037 | 2.20.3–6.6 | 299.9283.7–311.3 |
| 2038 | 1.90.3–7.1 | 299.6283.5–312.1 |
| 2039 | 2.80.3–6.4 | 296.9279.9–311 |
| 2040 | 2.40.7–5.8 | 298.5279.4–311.9 |
| 2041 | 2.40.5–5.5 | 301.4282.2–314.1 |
| 2042 | 2.50.4–6.8 | 300.6277.8–314.7 |
| 2043 | 2.70.4–6.2 | 298.2279.8–312.7 |
| 2044 | 2.30.6–7.4 | 300.3281.2–315.6 |
| 2045 | 2.70.4–6.5 | 299.9279.7–313.1 |
| 2046 | 2.90.4–8.7 | 302.8285.8–316.6 |
| 2047 | 3.80.3–8.2 | 303.3285–316.4 |
| 2048 | 3.20.3–10.2 | 304.4287.3–317.3 |
| 2049 | 3.50.2–7.6 | 305.4288.4–318.5 |
| 2050 | 2.81–7 | 303.9283.9–316.2 |
| 2051 | 2.40.4–8.2 | 305.7287.5–317.5 |
| 2052 | 3.60.5–7.5 | 305.9290.6–318.8 |
| 2053 | 2.30.6–6.3 | 305.3285.9–317.5 |
| 2054 | 2.70.8–7 | 306.1288.4–319.3 |
| 2055 | 3.20.5–9.2 | 306.4290.8–319.8 |
| 2056 | 3.61–8.8 | 306.7288.3–321.1 |
| 2057 | 3.30.8–7.5 | 306.4287.6–321.1 |
| 2058 | 50.3–10.8 | 309291–321.4 |
| 2059 | 4.40.6–11.5 | 310.4290.7–322.8 |
| 2060 | 3.91.1–10 | 311.6294.4–325.1 |
| 2061 | 4.51.4–9.4 | 307.5290.3–321.2 |
| 2062 | 3.90.9–9.2 | 309291.5–322.8 |
| 2063 | 5.41.4–11.3 | 310.8290.6–322.8 |
| 2064 | 4.70.9–9.9 | 309.6290.2–321.1 |
| 2065 | 51.3–10.6 | 311.1291.6–323.1 |
| 2066 | 4.91.2–11.6 | 312.2294.2–324.2 |
| 2067 | 5.91.3–13.5 | 310.9291.5–323.3 |
| 2068 | 4.71.6–9.3 | 311.5293–324.5 |
| 2069 | 5.11.3–10.1 | 310.6292.2–323.6 |
| 2070 | 4.41.2–11.6 | 312.7293–325.3 |
| 2071 | 4.80.5–12.5 | 311.5292.1–323.9 |
| 2072 | 5.81.9–10.2 | 313.3297.8–325.5 |
| 2073 | 5.31.4–10.5 | 313.8298.6–327.2 |
| 2074 | 4.51–11.8 | 311.4292.4–323.5 |
| 2075 | 5.61.5–13.6 | 310.9291.5–324.5 |
| 2076 | 6.20.9–14.6 | 314.2294.4–327.7 |
| 2077 | 4.51.4–12.9 | 315.1295.6–326.8 |
| 2078 | 5.61–15 | 314.9296.3–327.1 |
| 2079 | 6.80.8–17.4 | 313292.8–326.8 |
| 2080 | 6.31.8–13.3 | 311.9294.7–325.4 |
| 2081 | 5.71.6–12.9 | 313.5295.5–325.6 |
| 2082 | 72.2–16.2 | 315296.8–327.1 |
| 2083 | 5.31.5–12.9 | 315.7295.3–328.7 |
| 2084 | 6.11.3–11.5 | 316.6298.5–327.9 |
| 2085 | 6.41.9–13.3 | 317.4299.3–329.8 |
| 2086 | 6.41.7–15.1 | 315.8294–328 |
| 2087 | 7.21.4–15.3 | 316.5297.9–328.5 |
| 2088 | 72.3–15 | 315.6297.3–328.8 |
| 2089 | 6.51.8–19 | 315296.6–327.9 |
| 2090 | 6.11.9–17.7 | 316298.9–330.3 |
| 2091 | 7.91.9–16.7 | 317298.1–330.6 |
| 2092 | 6.91.4–14.4 | 317.6298.7–330.7 |
| 2093 | 5.61.4–13.6 | 316.3297.5–328.6 |
| 2094 | 8.51.8–15.3 | 316.4300.2–327.5 |
| 2095 | 7.21.2–16 | 319299.8–330.7 |
| 2096 | 6.51–15.2 | 317.7299.5–330.8 |
| 2097 | 5.41.1–15 | 316.9297.8–329 |
| 2098 | 7.62.1–15.1 | 318.6299.9–331.9 |
| 2099 | 7.51.3–17.6 | 318.1300–330.2 |
| 2100 | 6.72.5–16.1 | 317.3298.4–330.3 |
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
Austria vs Brazil
Health
- Life expectancyAustria: 82 years in 2023Brazil: 75.9 years in 2023
- Child mortalityAustria: 0.3 per 100 live births in 2024Brazil: 1.4 per 100 live births in 2024
- Infant mortalityAustria: 2.8 per 1,000 live births in 2023Brazil: 12.1 per 1,000 live births in 2023
- Safe drinking waterAustria: 98.9% in 2022Brazil: 87.3% in 2022
- DepressionAustria: 3.26% in 2017Brazil: 3.3% in 2017
- Suicide rateAustria: 11.2 per 100,000 people in 2017Brazil: 6.1 per 100,000 people in 2017
People
- PopulationAustria: 9.13 million people in 2023Brazil: 211 million people in 2023
- Population growthAustria: -0.12% a year in 2023Brazil: 0.41% a year in 2023
- Fertility rateAustria: 1.32 births per woman in 2023Brazil: 1.62 births per woman in 2023
- Urban populationAustria: 69.7% in 2025Brazil: 88.2% in 2025
- Median ageAustria: 43.1 years in 2023Brazil: 33.9 years in 2023
- People aged 65 and overAustria: 20.2% in 2023Brazil: 10.6% in 2023
- Net migration rateAustria: 0.5 per 1,000 people in 2023Brazil: -1.1 per 1,000 people in 2023
Economy
Education
Politics
Conflict
Military
- Military spendingAustria: 1.1% of GDP in 2025Brazil: 1.05% of GDP in 2025
- Military spending in US dollarsAustria: $5.88B in 2025Brazil: $23.6B in 2025
- Military spending per personAustria: $697 in 2025Brazil: $113 in 2025
- Military share of state spendingAustria: 2% of government spending in 2025Brazil: 2.2% of government spending in 2025
- Armed forces personnelAustria: 23,000 people in 2020Brazil: 762,000 people in 2020
- National powerAustria: 0.17% of world capability in 2022Brazil: 2.01% of world capability in 2022
- Armed forces, share of workersAustria: 0.5% of the labour force in 2020Brazil: 0.76% of the labour force in 2020
- Arms importsAustria: 29 million TIV in 2025Brazil: 462 million TIV in 2025
- Arms exportsAustria: 1 million TIV in 2025Brazil: 153 million TIV in 2025