3,081 to 3,090 of 6,191 Results
Tabular Data - 89.7 MB - 152 Variables, 177608 Observations - UNF:6:f08w5QOWE7xd+aMjIDEntA==
Core annual data file, not imputed data (dg4e.mz2020j) - STATA format - 152 Variables, 177608 Observations
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Unknown - 14.4 MB -
MD5: 4697f435dc758e0f0a294380d29ae312
Core annual data file, not imputed data (dg4e.mz2020j) - compressed SPSS format - 152 Variables, 177608 Observations
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Tabular Data - 123.6 MB - 223 Variables, 177608 Observations - UNF:6:eJN2j2ZrKUBRg44Pav7TIQ==
Core annual data file, imputed data & additional variables (dg8.mz2020j) - STATA format - 223 Variables, 177608 Observations
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Unknown - 19.5 MB -
MD5: 4d59cbb116ba337cfebf5849fc7bd360
Core annual data file, imputed data & additional variables (dg8.mz2020j) - compressed SPSS format - 223 Variables, 177608 Observations
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Adobe PDF - 24.7 KB -
MD5: 0307c5e173491cfe7546444455bd88b5
Data curation protocol
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ZIP Archive - 87.3 KB -
MD5: a0b18974af33c7e5d7266d30d1a5af79
List of variables since 2004 (zipped Excel.xlsx) |
Adobe PDF - 175.8 KB -
MD5: eaab9b4e7bf4d14d854c3b110d406615
Additional questions COVID-19, fourth quarter |
Tabular Data - 205.7 KB - 3 Variables, 3517 Observations - UNF:6:5IDEwTEk/LNVTG483pg6aQ==
Variable identifiers and descriptions - machine-readable
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Feb 25, 2021 - COVID-19 Pandemic
Paškvan, Matea; Kowarik, Alexander; Schrittwieser, Karin; Till, Matthias; Weinauer, Marlene; Göllner, Tobias; Hartleib, Sarah; Klimont, Jeanette; Plate, Marc; Baumgartner, Irene; Edelhofer-Lielacher, Edith; Grasser, Alfred; Kytir, Josef, 2021, "COVID-19 Prevalence November 2020 (SUF edition)", https://doi.org/10.11587/G3C2CS, AUSSDA, V1, UNF:6:mR15ezs0vMyYFjYgB0mgew== [fileUNF]
Full edition for scientific use. The main purpose of the study was to identify the number of people actually infected with coronavirus in Austria, as well as the number of people who have formed antibodies against SARS-CoV-2 and thus have been infected and further to report how people are feeling during this crisis. A representative random sample o... |
Feb 25, 2021 -
COVID-19 Prevalence November 2020 (SUF edition)
Adobe PDF - 99.6 KB -
MD5: 88e909556b5060fca76e4cd99685cb9a
Codebook |
