{"doc_desc":{"title":"ZMB-ZSA-LCMS-2010-V1.0","idno":"DDI-ZMB-ZSA-LCMS-2010-V1.0","producers":[{"name":"ZAMBIA STATISTICS AGENCY","abbreviation":"ZAMSTAT","affiliation":"MINISTRY OF FINANCE AND NATIONAL PLANNING","role":"DOCUMENTING THE STUDY"}],"prod_date":"2026-01-10","version_statement":{"version":"ZMB-ZSA-LCMS-2010-V1.0(JANUARY 2026)"}},"study_desc":{"title_statement":{"idno":"ZMB-ZSA-LCMS-2010-V1.0","title":"2010 LIVING CONDITIONS AND MONITORING SURVEY VI","sub_title":"5TH EDITION","alt_title":"2010 LCMS","translated_title":"-"},"authoring_entity":[{"name":"CENTRAL STATISTICAL OFFICE","affiliation":"MINISTRY OF FINANCE AND NATIONAL PLANNING"}],"oth_id":[{"name":"","affiliation":"","email":"","role":""}],"production_statement":{"producers":[{"name":"UNITED KINGDOM AID","affiliation":"UNITED KINGDOM","role":"TECHNICAL SUPPORT"},{"name":"BRITISH DEPARTMENT OF INTERNATIONAL DEVELOPMENT","affiliation":"BRITAIN","role":"TECHNICAL SUPPORT"},{"name":"GERMANY GOVERNMENT","affiliation":"GERMANY","role":"TECHNICAL SUPPORT"}],"copyright":"(c) 2010, Central Statistical Office, Zambia","funding_agencies":[{"name":"GOVERNMENT OF THE REPUBLIC OF ZAMBIA","abbreviation":"GRZ","role":"FUNDING"},{"name":"BRITISH DEPARTMENT OF INTERNATIONAL DEVELOPMENT","abbreviation":"DFID","role":"FUNDING"},{"name":"GERMANY TECHNICAL CORPERATION","abbreviation":"GIZ","role":"FUNDING"}]},"distribution_statement":{"contact":[{"name":"Head of Dissemination","affiliation":"Zambia Statistics Agency","email":"info@zamstats.gov.zm","uri":"https:\/\/nada.zamstats.gov.zm"}]},"series_statement":{"series_name":"Living Standards Measurement Study [hh\/lsms]","series_info":"The 2010 lcms is the 6th edition of the series of living standards measurement studies."},"version_statement":{"version":"V1.0 Edited Anonymized dataset for public distribution","version_date":"2012-03-26"},"study_info":{"keywords":[{"keyword":"POVERTY","vocab":"","uri":""},{"keyword":"HOUSEHOLD INCOME","vocab":"","uri":""},{"keyword":"HOUSEHOLD CONSUMPTION","vocab":"","uri":""},{"keyword":"CHILD HEALTH AND NUTRITION","vocab":"","uri":""},{"keyword":"EXPENDITURE","vocab":"","uri":""},{"keyword":"MIGRATION","vocab":"","uri":""},{"keyword":"ORPHANHOOD","vocab":"","uri":""},{"keyword":"AGRICULTURAL PRODUCTION","vocab":"","uri":""},{"keyword":"DEVELOPMENTAL ISSUES","vocab":"","uri":""},{"keyword":"EDUCATION","vocab":"","uri":""},{"keyword":"HEALTH","vocab":"","uri":""},{"keyword":"DEMOGRAPHIC CHARECTERISTICS","vocab":"","uri":""}],"topics":[{"topic":"DEMOGRAPHY AND MIGRATION","vocab":"","uri":""},{"topic":"EDUCATION","vocab":"","uri":""},{"topic":"HEALTH","vocab":"","uri":""},{"topic":"INCOME","vocab":"","uri":""},{"topic":"EXPENDITURE","vocab":"","uri":""},{"topic":"ORPHANHOOD","vocab":"","uri":""},{"topic":"ECONOMIC ACTIVITY","vocab":"","uri":""},{"topic":"AGRICULTURE","vocab":"","uri":""},{"topic":"ANTHROPOLOGY","vocab":"","uri":""},{"topic":"ASSETS","vocab":"","uri":""},{"topic":"HOUSEHOLD AMENITIES","vocab":"","uri":""},{"topic":"ACCESS TO FACILITIES","vocab":"","uri":""},{"topic":"MORTALITY","vocab":"","uri":""}],"abstract":"The main objective of the 2010 LCMS was to measure the wellbeing of the population in Zambia, and to provide trends in the different measures of societal wellbeing over time.\nThe following were the key objectives of the 2010 LCMS: \n1. Monitor the level of poverty and its distribution in Zambia;\n2. Monitor the impact of government policies and programmes on the well-being of the population \nin Zambia; \n3. Provide various users with a set of reliable indicators to monitor progress and development and\n4. Identify vulnerable groups in society and enhance targeting of pro-poor policies and programmes. \nThe 2010 survey was designed to produce reliable estimates at district, rural\/urban, province and national levels","coll_dates":[{"start":"2010-03","end":"2010-04","cycle":"1"}],"nation":[{"name":"ZAMBIA","abbreviation":"ZM"}],"geog_coverage":"National, Provincial, Rural\/Urban","analysis_unit":"HOUSEHOLD, INDIVIDUALS","universe":"The survey covered all dejure household members while data on education and income was collected from all household members above the age of five.","data_kind":"Sample survey data [ssd]","notes":"The scope of the 2010 LCMS included the following;\n \n Household :Education, Household Welfare, Economic Activities,  Agricultural production, Household Assets, Access to facilities, Mortality\n \n Price Questioonaire: This contained questions on essential food and non food items that were sold in the community business entities"},"method":{"data_collection":{"data_collectors":[{"name":"CENTRAL STATISTICAL OFFICE","abbreviation":"CSO","affiliation":"MINISTRY OF FINANCE"}],"sampling_procedure":"The 2010 surveys was designed to cover a representative sample of about 20,000 non-institutionalised private households residing in both rural and urban parts of the country. A total of 1,000 Standard Enumeration Areas (SEAs) were drawn from a total of 16,717 SEAs nationwide in both surveys.   It is important to note that the CSO had employed different sample survey methodologies at different times when conducting the surveys. With the exception of the 2002\/2003 survey which used a longitudinal sample, all the remaining surveys have used a cross-sectional sample of household\n\nThe sampling frame used for the 2010 LCMSs was developed from the 2000 Census of Population and Housing. The country is administratively demarcated into nine provinces, which are further divided into 72 districts. The districts are further subdivided into 150 constituencies, which are in turn divided into wards. For the purposes of conducting household based surveys, wards are further divided into Census Supervisory Areas (CSAs), which are further subdivided into Standard Enumeration Areas (SEAs). The SEAs constituted the Primary Sampling Units (PSUs).  \nIn order to have reasonable estimates at district level and at the same time take into account variation in the sizes of the districts, the survey adopted the Optimal Square Root sample allocation method (Leslie Kish, 1987). This approach offers a better compromise between equal and proportional allocation, i.e. small sized strata (districts) are allocated larger samples compared to proportional allocation. However, it should be pointed out that the sample size for the smallest districts was still fairly small; hence the need to examine the confidence intervals for the district-level estimates in order to determine whether the level of precision is adequate. The allocation of the sample points to rural and urban strata was approximately proportional. The distribution of the sample for the LCMS 2010  were initially the same but changed after the latter was adjusted to take into account the precision parameter.\nDuring the 2010 surveys, listing of all the households in the selected SEAs was done before a sample of households to be interviewed was drawn. In the case of rural SEAs, households were listed and stratified according to the scale of their agricultural activity. Therefore, there were four explicit strata created at the second sampling stage in each rural SEA: the Small Scale Agricultural Stratum (SSS), the Medium Scale Agricultural Stratum (MSS), the Large Scale Agricultural Stratum (LSS) and the Non-Agricultural Stratum (NAS). For the purposes of the surveys, seven, five and three households were selected from the SSS, MSS and NAS respectively. The large scale households were selected on a 100 per cent basis. The urban SEAs were explicitly stratified into low cost, medium cost and high cost areas based on CSO's and local authorities' classification of residential areas. From each rural and urban SEA, 15 and 25 households were selected respectively. However, the number of rural households selected in some cases exceeded the prescribed sample size of 15 households depending on the availability of large scale farming households. The selection of households from various strata was preceded by assigning each listed  household with sampling serial numbers. The circular systematic sampling method was used to select households. The method assumes that households are arranged in a circle (G. Kalton, 1983) and the following relationship applies: \nLet N = nk \nWhere: \nN = total number of households assigned sampling serial numbers in a stratum \nn = total desired sample size to be drawn from a stratum in an SEA \nk = the sampling interval in a given SEA calculated as k=N\/n.","coll_mode":["Face-to-face [f2f]"],"research_instrument":"Data was collected using a structured household questionnaire. The questionnaire was in English and translations were only done during the actual interviews. In addition, the questionnaire contained sections that were administered to certain household members above the age of five. These included economic activity, income and education.","coll_situation":"The 2010 field work involved 18 master trainers, 125 supervisors and 500 enumerators. \nData collection was conducted through face-to-face interviews with the main respondent. Data collection was done in teams of 7 with one driver, one supervisor and five enumerators. The enumerators were responsible for listing of households in the selected work area. After the listing process, the supervisors sample the required number of households according to region and stratum and allocates the households to the enumerators.","act_min":"Data collection was done in teams of 7 with one driver, one supervisor and five enumerators. The role of the supervisor was to;\nPay courtesy call to local authority,\nCoordinate field work by identifying the work areas,\nSupervising listing of households by enumerators \nSampling of the selected households. \n\nFurther the supervisor was responsible for editing and checking questionnaires for;\nCompleteness, consistence and logic.\nSurvey coordinators from the provincial centers and headquarters visited the teams to monitor data collection and to offered logistical support.","weight":"Due to the disproportionate allocation of the sample points to various strata, sampling weights are required to correct for differential representation of the sample at the national and sub-national levels. The weights of the sample are in this case equal to the inverse of the product of the two selection probabilities employed at each stage of selection.  \nThe  LCMS 2010 collected data on all usual household members in section 1 of the questionnaire. The weighted sum of the total number of household members (household size) is supposed to give a fairly good and accurate estimate of the current population in a particular domain such as district, province, rural\/urban and national level for which this survey was designed.","cleaning_operations":"Data was manually edited by the supervisor and his \/her team before the team moved to the next work area to check for logic, consistence and completeness. Where inconsistencies were found, the enumerator was required to either call the responded for clarification if the contact number was available or re-visit the household. Once the data was submitted at the provincial office. Before data entry, questionnaires were subjected to vigorous logic checks for skip instructions. the data was further edited during data cleaning","method_notes":"A data entry screen was created using cspro. This screen was used to enter the data using desktop computers. An average of three data entry operators were allocated to each province."},"analysis_info":{"response_rate":"98%"}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"The Agency shall,where statistics are designated as official statistics, protect the confidentiality and identity of the source of data.\n\nUnder the provision of the Statistics ACT no.13 of 2018, ZamStats is obliged to preserve the confidentiality of respondent information in all its census and survey data\n\nBefore being granted access to the dataset, all users have to formally agree: \n   1. To make no copies of any files or portions of files to which s\/he is granted access except those authorized by the Agency. \n   2. Not 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. \n   3. To hold in 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 her\/his analysis will be immediately brought to the attention of the Agency","required":"yes","form_no":"","uri":""}],"contact":[{"name":"ZAMSTATS","affiliation":"MINISTRY OF FINANCE AND NATIONAL PLANNING","email":"info@zamstats.gov.zm","uri":""}],"cit_req":"Central Statistical Office (2012). Living Conditions Monitoring Survey report 2006 and 2010","conditions":"Access Conditions:  Micro data records are  anonymised as per procedures  before these are made available to users. \nCensus micro data will only be provided as a micro sample (10 percent) and subjected to the anonymisation techniques and documented accordingly.\nMicro data files are all free but under access policy Conditions:\n\nEach dataset has an access policy :Public use file- Accessible to all and - Licensed datasets, accessible under conditions. The dataset has been anonymized and is available as a Public Use Dataset. It is  accessible to all for statistical and research purposes only, under the following terms and conditions:\n  1. The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of the Zambia Statistics Agency\n  2. The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations. \n 3. No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently.","disclaimer":"Disclaimer : ZamStats will not bear any responsibility for the erroneous use of its data by researchers. Users should report inconsistencies in the data (both micro and aggregated) to ZamStats as soon as possible.\nThe 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 use"}}},"schematype":"survey"}