{"type":"survey","doc_desc":{"title":"Labour Force Survey 2005","idno":"DDI_ZMB_2005_LFS_v01_M","producers":[{"name":"Central Statistics Office","abbreviation":"CSO","affiliation":"","role":"Documentation of Dataset"}],"prod_date":"2014-01-15","version_statement":{"version":"Version 1.2 (January 2014) - World Bank adaptation of (Version 1.1 - April 2009 - ZMB-CSO-LFS-2005-v1.1)"}},"study_desc":{"title_statement":{"idno":"ZMB_2005_LFS_v01_M","title":"Labour Force Survey 2005","alt_title":"LFS 2005"},"authoring_entity":[{"name":"Central StatisticsOffice","affiliation":"Ministry Of Finance and National planning"}],"production_statement":{"producers":[{"name":"Ministry Of Labour and  Social Security","affiliation":"","role":"Participation in data collection and analysis"}],"copyright":"(c) 2005, Central Statistical Office","funding_agencies":[{"name":"Government Republic of Zambia","abbreviation":"GRZ","role":""},{"name":"International Labour Organisation","abbreviation":"ILO","role":"Funding and Technical assistance"}]},"distribution_statement":{"contact":[{"name":"Dissemination Branch","affiliation":"Ministry of Finance and national Planning","email":"info@zamstats.gov.zm","uri":"http:\/\/www.zamstats.gov.zm "},{"name":"World Bank Microdata Library","affiliation":"World Bank","email":"","uri":""}]},"series_statement":{"series_name":"Labor Force Survey [hh\/lfs]","series_info":"The Labour Force Survey (LFS) has been conducted for the second time in Zambia.  The first one was conducted in 1986. Labour Force Surveys were designed by International Labour Organisation (ILO) and implemented by national agencies such as the Central Statistics Office, Ministry of Labour, International Labour Organization (ILO) and other related agencies. The LFS was a nationwide survey covering household population in all the nine (9) provinces both rural and urban areas. The survey excluded institutional populations such as those in Hospitals, Barracks or Refugee camps. The Labour Force Survey results are used to monitor the employment levels in Zambia. It is generally acknowledged that employment levels to a large extent determine an economy's productive capacity and consumption levels. The survey results reveal indicators on some of the Key Indicators of the Labour Market (KILM). Regular production of these Labour Market Indicators will assist in understanding the Labour Market in Zambia."},"version_statement":{"version":"v1.1: Final Data, Anonymized dataset for public distribution","version_date":"2005-12"},"study_info":{"topics":[{"topic":"labour relations\/conflict [3.3]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"employment [3.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"in-job training [3.2]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"retirement [3.4]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"unemployment [3.5]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"working conditions [3.6]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"}],"abstract":"The nation's population and its characteristics are part of developmental dynamics. It is therefore essential to measure these characteristics, and to monitor changes in them overtime. To effectively achieve the monitoring process, the Government of the Republic of Zambia initiated the Labour Force Survey (LFS) firstly in 1986. In an effort to continue monitoring, the Government of the Republic of Zambia embarked on a second Labour Force Survey in November 2005. \n\nThe purpose of the survey is to Identify and analyse the factors leading to emergence and growth of Labour Force in Zambia and also to Monitor the Key Indicators of Labour Market. This includes monitoring of Employment rates, Unemployment rates, inactivity rates e.t.c.\n\nThe specific objectives are to produce comprehensive statistical data on the activities of labour force, time use and information communication, to monitor the impact of government policies and donor support on the Labour Market Indicators in Zambia and also to Monitor the World summit for Children goals. This includes monitoring Child labour encompassing education and health, to Provide various users with a set of reliable labour market and sociol \neconomic indicators against which to monitor development.\n\nHowever, the survey is not a fully-fledged survey on any of the topics covered. It is concerned with information necessary to monitor the Key Indicators of the Labour Market.\n\nFurthermore, the survey seeks to assess the extent and magnitude of   Labour Force in Zambia. Identifying major parameters, priority groups and patterns, extent and determinants of Children's economic activities, conditions and effects of such activities will be the focus of this survey.\n\nThe content of the survey are Orphanhood, Education and School attendance, Economic activity,Health and Safety issues,Child Labour, Time Use, Information and Communication Technology,and Household Socio-economic Status","time_periods":[{"start":"2005","end":"2008","cycle":""}],"coll_dates":[{"start":"2005-11","end":"2005-12","cycle":""}],"nation":[{"name":"Zambia","abbreviation":"ZMB"}],"geog_coverage":"The LFS was a nationwide survey covering household population in all the nine (9) provinces both rural and urban areas. The survey excluded institutional populations such as those in hospitals, Barracks or refugee camps.","analysis_unit":"Households and Individuals ( Men and Women of 5 years and above).","universe":"The sample frame of this survey was the list of SEAs developed from the 2000 Population Census.","data_kind":"Sample survey data [ssd]","notes":"The Labour Force Survey had its primary objectives:\n\n1. To produce comprehensive statistical data on the activities of labour force, time use and information communication.\n2.  To monitor the impact of government policies and donor support on the Labour Market Indicators in Zambia and also to\n      monitor the World summit for Children goals. This includes monitoring Child labour encompassing education and health.\n3.  To Provide various users with a set of reliable labour market and sociol economic indicators against which to monitor\n      development.\n      \nThe topics covered by the survey included:\n \n- Household Characteristics, Education,Marital status. \n- Women and men of 5 years and above in formal and informal sector employment\n- Heaith and safety of persons 5years and above\n- Household Social economic status\n- Time Use of household members.\n- Information Communication and  Technology","study_scope":"The Labour Force Survey had its primary objectives:\n\n1. To produce comprehensive statistical data on the activities of labour force, time use and information communication.\n2.  To monitor the impact of government policies and donor support on the Labour Market Indicators in Zambia and also to\n      monitor the World summit for Children goals. This includes monitoring Child labour encompassing education and health.\n3.  To Provide various users with a set of reliable labour market and sociol economic indicators against which to monitor\n      development.\n      \nThe topics covered by the survey included:\n \n- Household Characteristics, Education,Marital status. \n- Women and men of 5 years and above in formal and informal sector employment\n- Heaith and safety of persons 5years and above\n- Household Social economic status\n- Time Use of household members.\n- Information Communication and  Technology"},"method":{"data_collection":{"data_collectors":[{"name":"Central Statistical Office","abbreviation":"CSO","affiliation":"Ministry of Finance and National Planning"},{"name":"Ministry of Labour and Social Security","abbreviation":"MLSS","affiliation":""}],"sampling_procedure":"The total sample of 8,000 households was first allocated between rural, urban and the provincial domains in proportion to the population of each domain according to the 2000 census results. The proportional allocation does not however allow for reliable estimates for smaller domains e.g A constituency, ward level etc. Adjustments to the proportional allocation of the sample were made to allow for reasonable comparison to be achieved between strata or domains. Therefore disproportionate allocation was adopted, for the purpose of maximizing the precision of survey estimates. The disproportionate allocation is based on the square root method designed by Leslie Kish. The sample was then selected using a stratified two-stage cluster design.","sampling_deviation":"There was no deviation from sample design.","coll_mode":"Face-to-face [f2f]","research_instrument":"Two types of questionnaires were used in the survey. These were:-\n\nThe Listing Booklet - Used for listing all the households residing in the selected Standard Enumeration Areas (SEAs). This questionnaire was administered to all the households in SEA. The main objectives were to establish whether the houshold had  children aged 5 to 17 years who are working for pay or for profit.\n\nThe Main questionnaire - Used for collecting detailed information on all household members. This questionnaire was administered to each selected household which collected various information on household members. The information included background information, education, economic activities,employment and unnemployment,Information Communication Technology, Health and safety issues, time use, Household socio-economic status and economic activities for children.\n\nThe questionnaires were published in english (UK).\n\nThe structure of the labour force questionnaire which was used was adopted from ILO and then customised to meet the Zambian standards.The questionnaires were subjected to scrutiny by stakeholders such as ILO, World bank, employers institutions, workers unions, etc and comments were incorporated accordingly.","coll_situation":"About 170 persons were recruited by the Central Statistical Office to serve as enumerators and supervisors. They all participated in the main training which begun in November 2005 and was conducted for two weeks.. The training was held in all the nine (9) provinces. Staff from the CSO and Ministry of Labour who were part of the technical team led the training. Training was guided by the enumerators manual that was prepared as part of the survey instruments. The method of training included having enumerators read from the manual and trainers lecturing on different topics in line with what the manual prescribed. Other training modes included class demonstrations (front of class interviews) and interviews in small groups. The method was exactly what was done during the Pre-test. Two days was allocated for field practice. \n\nAt least three enumerators were assigned to one supervisor and they formed up a team. Every province had more than three teams. Depending on the availability of transport and other logistics associated with a province, field work was accomplished by team work (working in one cluster per time as a team) or assigning every enumerator a cluster to work in. \n\nData collection was conducted between November and December 2005. The Central Statistical Office coordinated the supervision of fieldwork. Trainers visited the field teams during the initial implementation of fieldwork. The provincial \/statisticians who also attended training monitored the quality of data in the field. There was close contact between the Field teams and Headquarters which was maintained through out fieldwork.","act_min":"At least three enumerators were assigned to one supervisor and they formed up a team. Every province had more than three teams. Depending on the availability of transport and other logistics associated with a province, field work was accomplished by team work (working in one cluster per time as a team) or assigning every enumerator a cluster to work in. Each province was controlled by two master trainers. The master trainers were in-charge of leading the training of the enumerators and supervisors as well as overseeing the project within a province. During the field work, senior management staff made at most two field visits.","weight":"Due to the non-proportional allocation of the sample to the different strata, sampling weights were required to ensure actual representativeness of the sample at national level. The sampling probabilities at first-stage selection of SEAs and probabilities of selecting the households were used to calculate the weights. \n\nThe selection of the households from the clusters were such that all household were listed. A desired number of households was selected from the listed households. A random start  (the first household selected ) was established. The  subsequent households were selected by adding the interval to the first households, the second household and so on and so forth until the desired number of household was attained. \n\nThe weight of the sampled households is equal to the inverse of the probability of selecting the household from the number of the listed households.","cleaning_operations":"Data editing took place at a number of stages throughout the processing. These included:\n\n1. Field editing\n2. Office editing and coding\n3. During data entry\n4. Structure checking and completeness\n5. Secondary editing\n6. strucural checking of SAS data files","method_notes":"Data entry was conducted in the provincial offices. This was done manually by entering data on to the desktop computers using CSPro. About 18 desktop computers were used by 18 data entry operators. Each province had two (2) data entry operators. No cases of double data entry were reported."},"analysis_info":{"response_rate":"During the survey, 8 000 households were selected of which 7,886 were occupied and therefore were eligible for interviews. The overall response rate of households was 98.5 percent. Out of 5,440 households in rural areas, 99.4 percent were successfully interviewed and out of 2, 446  households in urban areas, 96.9 percent were succefully interviewed."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"Confidentiality of respondents is guaranteed under the provisions of the Census and Statistics Act, CAP 127 of the laws of Zambia.","required":"yes","form_no":"","uri":""}],"contact":[{"name":"Director - Central Statistical Office","affiliation":"Ministry of Finance and national Planning","email":"info@zamstats.gov.zm","uri":"http\/\/:www.zamstats.gov.zm"}],"cit_req":"Central Statistical Office, Labour Fource Survey 2005 (LFS 2005),Version 1.1 of the public use dataset (April 2009),provided by Central Statistical Office. <http:\/\/www.zamstats.gov.zm>","conditions":"The Director of the Central Statistical Office has to authorise access to information. Before being granted access to the dataset or any other information produced by CSO, all users have to formally agree to the following:\n1.\tTo make no copies of any files or portions of files to which s\/he is granted access except those authorized by the Central statistical Office.\n2.\tNot to use any technique in an attempt to learn the identity of any person, establishment or sampling unit not identified on public use data files\n3.\tTo hold in the strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion or analysis. Such inadvertent identification revealed in the user's analysis will be immediately brought to the attention of the Central Statistical office.\n4.\tThe data will be used for statistical and scientific research purposes only.\n5.\tThe data and other materials will not be redistributed or sold to other individuals,        institutions, or organisation without the written agreement of the CSO.","disclaimer":"All CSO products are protected by copyright. Users may apply the information as they wish, provided that they acknowledge CSO as the source of the basic data whenever they process, apply, utilize, publish or distribute the data, and also that they specify that the relevant application and analysis (where applicable) result from their own processing of the data .CSO and the relevant funding agency bear no responsibility for use of the data  for interpretations or inferences based upon such uses."}}},"data_files":[{"file_id":"F1","file_name":"LFSdemo","description":"The data file contains information on demographic characteristics obtained from the 2005 labour force Survey (2005 LFS). 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