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91 to 100 of 2,595 Results
10787_mr_en_v8_0.pdf
Mar 26, 2025 - Digitize! Online Panel Survey (SUF edition)
Adobe PDF - 6.3 MB - MD5: a6fdf7904f8d26a51e3622b4c4bec29d
CodebookDocumentationMethod report
Method report and codebook (English)
10787_qu_de_v8_0.pdf
Mar 26, 2025 - Digitize! Online Panel Survey (SUF edition)
Adobe PDF - 22.6 MB - MD5: b91b7a055de4507fabdd115167417c06
DocumentationQuestionnaire
Questionnaire (German)
10787_qu_en_v8_0.pdf
Mar 26, 2025 - Digitize! Online Panel Survey (SUF edition)
Adobe PDF - 22.0 MB - MD5: 3f76b3d759c70227602fb3fc229fb904
DocumentationQuestionnaire
Questionnaire (English)
10787_readme.pdf
Mar 26, 2025 - Digitize! Online Panel Survey (SUF edition)
Adobe PDF - 86.9 KB - MD5: ce19397ad1ae7850e52feff1c849c139
Documentation
Data curation protocol
10787_vi_de_v8_0.tab
Mar 26, 2025 - Digitize! Online Panel Survey (SUF edition)
Tabular Data - 309.9 KB - 3 Variables, 8209 Observations - UNF:6:bFP8IDz2d2U2WuFH4wkYWg==
Documentation
Variable identifiers and descriptions - machine-readable (German)
10787_vi_en_v8_0.tab
Mar 26, 2025 - Digitize! Online Panel Survey (SUF edition)
Tabular Data - 303.6 KB - 3 Variables, 8250 Observations - UNF:6:w+MEoCXiNrlEXnNiDYSCQg==
Documentation
Variable identifiers and descriptions - machine-readable (English)
10852_readme.pdf
Mar 26, 2025 - Microcensus Labour Force Survey / Housing Survey 2024 (SUF edition)
Adobe PDF - 39.2 KB - MD5: 660aaa161b362b659865d6a4c3998415
Documentation
Data curation protocol
10852_rr04_de_v1_0.pdf
Mar 26, 2025 - Microcensus Labour Force Survey / Housing Survey 2024 (SUF edition)
Adobe PDF - 1.5 MB - MD5: ff50268adc9805ca9759a07d0c6871b7
DocumentationResearch report
Labour market statistics, fourth quarter 2024
10852_vi_de_v2_0.tab
Mar 26, 2025 - Microcensus Labour Force Survey / Housing Survey 2024 (SUF edition)
Tabular Data - 208.4 KB - 3 Variables, 3518 Observations - UNF:6:66/QOkepcmjMZgOAcvUokA==
Documentation
Variable identifiers and descriptions — machine-readable
10014_co_de_v1_0.pdf
Mar 20, 2025 - FIMAS - Labour Market Integration of Refugees in Austria. Dataset of wave 1 (2016/2017). Project FIMAS. (SUF edition)
Adobe PDF - 594.9 KB - MD5: 86c2a562070f4e257e834519de63ed77
CodebookDocumentation
Codebook
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