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Search the archive Look in the data catalogue or try the advanced search. Data Data catalogue Slovakia on the Way to Gender Equality 2006 study description | list of variables | data access Details for variable Q15 Name: Q15 Variable label: Remedy for unemployed people in region Literal question: What specific remedy could most help the unemployed in your region? Choose only one remedy! Label Value   Frequency* %* increase in the number of jobs 1 2002 79.41 improvement of the public transport 2 60 2.38 increase of education, retraining 3 311 12.34 OTHER:higher wages, higher minimum wage 10 12 0.48 OTHER:more fair regional division of investments 11 5 0.2 OTHER:eliminate corruption 12 2 0.08 OTHER:willingness to travel to work 13 3 0.12 OTHER:highways, infrastructure, cheaper transport 14 4 0.16 OTHER:willingness to work legally, do not misuse allowances 15 14 0.56 OTHER:restrict emigration 16 1 0.04 OTHER:confiscate the property of thieves and frauds 17 2 0.08 OTHER:legislate compulsory labour service 18 2 0.08 OTHER:decrease prices 19 1 0.04 OTHER:strengthen bankrupting enterprises 20 3 0.12 OTHER:support small business 21 3 0.12 OTHER:prevent abusing labour force by enterprisers 22 2 0.08 OTHER:introduce placement of students after finishing school 23 1 0.04 OTHER:support domestic enterprisers 24 1 0.04 OTHER:support from the EU funds 25 2 0.08 OTHER:cancel aids, one should need to work to get benefits 26 7 0.28 OTHER:all mentioned factors 27 1 0.04 OTHER:reduce bureaucracy at Labour Offices 28 2 0.08 OTHER:prevent the determination by age when employing 29 3 0.12 OTHER:make the capital in the centre of the Slovak Republic 30 1 0.04 OTHER:apply positive aspects of the previous regime 31 1 0.04 OTHER:prevent liquidation of agriculture 32 3 0.12 don't know 99 72 2.86 Summary statistics Total Responses: 2521 Valid: 2521 Min. / max. value: 1 / 99 Mean / standard deviation: 4.58747 / 16.5036 [ previous variable ] | [ next variable ] [ back ] *Caution: Frequencies and percentages are calculated from unweighted data. If data were not collected using quota sampling, there could be significant differences between those unweighted values and the representative weighted figures.

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