{"type":"survey","doc_desc":{"title":"2019 Labour Force and Child Labour Survey","idno":"DDI_ZWE_2019_LFCLS_v01_M","producers":[{"name":"Zimbabwe National Statistics Agency","abbreviation":"ZIMSTAT","affiliation":"Ministry of Finance and Economic Development","role":"Documentation of the study"},{"name":"Development Economics Data Group","abbreviation":"DECDG","affiliation":"The World Bank","role":"Review of the metadata"}],"prod_date":"2021-08-04","version_statement":{"version":"Version 02 (August 2021). Identical to a DDI published on Zimbabwe National Statistics Agency (ZIMSTAT) microdata catalog. Some of the metadata fields have been edited."}},"study_desc":{"title_statement":{"idno":"ZWE_2019_LFCLS_v01_M","title":"Labor Force and Child Labor Survey 2019","alt_title":"LFCLS 2019"},"authoring_entity":[{"name":"Zimbabwe National Statistics Agency","affiliation":"Ministry of Finance and Economic Development"}],"production_statement":{"funding_agencies":[{"name":"Government of Zimbabwe","abbreviation":"Govt. ZWE","role":"Financial support"},{"name":"International Labour Organisation","abbreviation":"ILO","role":"Financial support"},{"name":"United Nations Children\u2019s Fund","abbreviation":"UNICEF","role":"Financial support"}]},"series_statement":{"series_name":"Labor Force Survey [hh\/lfs]","series_info":"Zimbabwe has been conducting the Labor Force and Child Labor Survey (LFCLS) after every five years since 1994. The most recent surveys were conducted in 2004, 2011, 2014, and 2019."},"study_info":{"abstract":"The 2019 Labour Force and Child Labour Survey (LFCLS) is a national household based survey designed to provide indepth information on the labour force in Zimbabwe, as well as socio-economic indicators useful in monitoring living conditions.\n\nThe primary objectives of the survey are to provide engendered information on: \n\u2022 the number of people classified according to their activity status \n\u2022 the size and characteristics of the economically active population, i.e, the employed and the unemployed \n   o the informal economy \n   o the welfare of the employees (safety at work, decent work agenda and wages) \n   o the potential labor force \n\u2022 the number of working children \n\u2022 the detrimental effects on working children \n\u2022 social protection and \n\u2022 living conditions in general \n   o educational attainment \n   o household characteristics \n   o energy use","coll_dates":[{"start":"2019-07-05","end":"2019-07-07","cycle":""}],"nation":[{"name":"Zimbabwe","abbreviation":"ZWE"}],"geog_coverage":"National coverage","analysis_unit":"- Households\n- Individuals","universe":"The 2019 LFCLS covered private households in the selected EAs within the ten provinces of Zimbabwe.","data_kind":"Sample survey data [ssd]","notes":"The 2019 Zimbabwe Labor Force and Child Labor Survey covered the following topics: \n- Household identification\n- Demographic characteristics\n- Migration\n- Education, for persons age 3 years and above\n- Adult and child functioning, for persons 5 years and above\n- Employment at work, for persons age 5 years and above\n- Agricultural work and market orientation, for persons 5 years and above\n- Characteristics of main job, for persons 5 years and above\n- Characteristics of second job, for persons 5 years and above\n- Working tine in employment\n- Work related income for paid employees\n- Own use production of foodstuff among employed persons\n- Job search and availability\n- Own use production of other goods\n- Retrenchment, for persons 15 years and above\n- Social security\n- Work related safety\n- Additional questions, for persons 5-17 years\n- Household characteristics\n- Agricultural population\n- Land ownership"},"method":{"data_collection":{"data_collectors":[{"name":"Zimbabwe National Statistics Agency","abbreviation":"ZIMSTAT","affiliation":"Ministry of Finance and Economic Development"}],"sampling_procedure":"A stratified two\u2013stage sample design was used. At the first stage enumeration areas were selected with probability proportional to size (PPS) sampling method. The measure of size being the number of households enumerated in the 2012 population census. A household listing operation was done to create the second stage sampling frame. The second stage involved the selection of households, which are the ultimate sampling units using random systematic sampling. Twenty-five households were selected per each Enumeration Area (EA). No substitutions of non-responding households will be done in this survey. If a dwelling unit is found being occupied by a different household, then that household will be interviewed in place of the listed household. If a dwelling unit was destroyed and the household is still staying in the same EA, the household should be followed and interviewed.\n\nA total of 419 enumeration areas and 10475 households were covered during the survey.","coll_mode":"Face-to-face [f2f]","research_instrument":"The survey questionnaire consists of twenty-one sections.","coll_situation":"The training of enumerators and Team Leaders for the survey was held from 14 to 27 May 2019 in Gweru, Midlands Province. The workshop was attended by 226 participants, of whom 84 were females and 142 were males. An assessment test and class exercises were done to assess the enumerators and Team Leaders on the content of the questionnaires and the field procedures. Questionnaires were translated from English to the main local languages of Shona and Ndebele.\n\nThere were three days of field practice, two utilising PAPI and one utilising CAPI, in urban and rural areas. This was to enable the field staff to appreciate different working settings.\n\nThe data collection for the 2019 LFCLS was carried out in all the 10 provinces by 140 Enumerators and 28 Team Leaders with a driver in each team. Team and camping approach was used. The supervision team in each province comprised national and provincial supervisors.\n\nThe fieldwork for the LFCLS was carried out from 5 June to 7 July 2019 and interviews were mainly conducted in local languages.","act_min":"The quality of data obtained in the field to a greater extent depends on the quality of training and amount of supervision done during data collection. Supervision involved:\n\n\u2022 checking if the itineraries were being prepared and followed,\n\u2022 checking team organization and deployment,\n\u2022 conducting spot checks and making sure the enumerators visited the correct EAs and households,\n\u2022 checking whether correct procedures on interviewing were being followed,\n\u2022 checking whether the CAPI system was flowing as per design, and\n\u2022 attending to some technical and administrative issues as they arose.\n\nThe Provincial Operations Department coordinated the administration and logistics of the survey, with the Provincial Supervisors coordinating the overall supervision of data collection in their respective provinces. The survey supervisory team consisted of technical team members who were assigned a province each to supervise, 10 Provincial Supervisors and 28 Team Leaders.","cleaning_operations":"Data for the LFCLS was collected using CAPI. The data collection application was developed using CSPro software, version 6.3, including a dedicated data management platform. Whenever logistically possible, data synchronisation to the central server was daily. During data collection the central office system developers installed application updates to field teams manually.\n\nData were received at the ZIMSTAT head office via File Transfer Protocol (FTP) integrated into the management application on the Team Leaders\u2019 tablets. After data collection all data files were manually copied from the tablets and reconciliations were made between the data from all the tablets and the data received by the server to make sure that all the data was in place.\n\nDuring data collection and following the completion of fieldwork, data were edited according to agreed guidelines. Data were analysed using the Statistical Analysis System software (SAS), version 9.3."},"analysis_info":{"response_rate":"The overall response rate was 97.5 percent and the reasons for non-response included:\n\u2022 Household members who were away for an extended period during the survey period,\n\u2022 Dwelling units that were vacant, and\n\u2022 Selected households who refused to participate in the survey."}}},"schematype":"survey","data_files":[],"variables":[],"variable_groups":[]}