DDI_BGR_2011_LFS_v01_M_WB Development Data Group 2014-03-12 NADA Version 1 (March 2014) Labour Force Survey 2011 LFS 2011 BGR_2011_LFS_v01_M National Statistical Institute NADA National Statistical Institute Labor Force Survey [hh/lfs] The objective of Bulgaria Labour Force Survey 2011 is to provide information on the economic activity of the population of 15 years of age and over and on the most important characteristics of employed and unemployed persons and persons not in the labour force. Bulgaria National - Households; - Individuals. Whole population excluding the following groups: Persons living in institutions and persons living in indigenous areas. The usual residents present and the usual residents temporarily absent. The labour related questions of the survey relate to the population of 15 years old and over. Sample survey data [ssd] The scope of the Labour Force Survey 2011 includes: - Demographic characteristics: age, sex, marital status, place/country of birth, nationality, educational attainment, relationship to household head, disability; - Main labour related characteristics: employment, unemployment, hours of work, wages, training received; - Other labour related characteristics: industry, occupation, status in employment, institutional sector (public/private), size of establishment, full time/part time status, permanency of the job, working time arrangements, duration of employment, existence of more than one job, characteristics of the second job(s), duration of unemployment, previous working experience, characteristics of the last job, search for another job, reasons for seeking another job, methods of looking for work, registration as unemployed, receipt of unemployment benefits, reasons for not being in the labour force, transition from school to work, transition from work to retirement. National Statistical Institute Sampling frame: Population census The sampling frame is updated: not updated with a specific frequency Lowest level of geographic disaggregation for which reliable estimates of the unemployment rate can be produced and their frequency: 28 NUTS 3 districts (annual) The sample is stratified: Yes Variables used for stratification: geographic region, urbanisation Number of sampling stages: 2 Ultimate sampling units: households Number of ultimate sampling units per sample area: 8 Sample size: 19504 ultimate sampling units per quarter Sample fraction: 0.65% of the total population Sample rotation takes place: at the ultimate sampling unit level only The rotation system results in: the overlap between consecutive survey periods and the overlap between same periods one year apart Percentage of ultimate sampling units remaining in the sample for two consecutive survey rounds: 50% Maximum number of times an ultimate sampling unit is interviewed: 4 Face-to-face [f2f] Main mode of data collection: face to face personal interview (paper and pencil) Number of ultimate sampling units (USU) interviewed per interviewer per day: 4 Average duration of an interview per household member of working age: 15 minutes The field staff is mainly: part of a permanent survey organisation Respondents' participation in the survey is compulsory: No Ultimate sampling units that could not be identified are replaced: No Ultimate sampling units that could not be contacted are replaced: No Ultimate sampling units that refuse to participate are replaced: No The sample is self-weighting: No Weighting factors used to adjust for: bench-marking (to ensure consistency between survey estimates and those from other reliable source(s), e.g. census) Percentage of all eligible ultimate sampling units that are interviewed: 82% Percentage of refusals in the total non-response: 4.5% National Statistical Institute Use of the dataset must be acknowledged using a citation which would include: - the Identification of the Primary Investigator - the title of the survey (including country, acronym and year of implementation) - the survey reference number - the source and date of download The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.