DDI_WB_ZMB_1995_MICS_v01_M Development Economics Data Group 2011-10-25 NADA Version 01 (October 2011) Multiple Indicator Cluster Survey 1995 MICS 1995 ZMB_1995_MICS_v01_M Food Security, Health and Nutrition Information System Central Statistics Office United Nations Children's Fund NADA United Nations Children's Fund Food and Agriculture Organization Centers for Disease Control, Atlanta General Inquiries MICS Programme Manager Multiple Indicator Cluster Survey - Round 1 [hh/mics-1] Zambia National Sample survey data [ssd] The scope of Zambia 1995 MICS includes: - Household structure and composition - Education - Water and sanitation - Health status and diarrhea management - Child immunization and Vitamin A supplementation - Nutrition, child feeding practices and salt iodization - Food security, composition and expenditure - Income sources They surveys were conducted in two stages. Interviewers for the urban survey were held between 23 June and 7 July 1995 and for the rural survey between 13 August and 2 September 1995. In total, 6810 households were surveyed. In urban areas, a three stage sampling procedure was used when selecting the sample. First, urban districts were selected using probability proportional to size. Secondly, standard enumeration areas (SEA) were defined from low, medium, high density and peri-urban areas which had been stratified using population density as a measure. Probability proportional to size was used to define these SEAs. All households were listed within the selected SEA and finally 20 households were selected from each using a linear systematic sampling procedure. Altogether 131 SEAs were covered and 2620 urban households were interviewed in twenty-one districts of Zambia. The sample of the rural component of the survey was based on Crop Forecasting Survey (CFS) conducted during the 1994/95 agricultural season. This was to allow FHANIS to use agricultural related data collected by the CFS. The CFS drew from a sample of 407 rural SEAs (of a total of 13000 SEAs) using probability proportional to size. The number of agricultural households was the measure of selection. After listing, households in each standard enumeration area were stratified into three categories: small, medium and large scale farmers. Twenty households from the small and medium scale farmers were selected in each SEA. No large scale farmers were selected. The FHANIS survey randomly selected 215 of the 407 SEAs covered during the Crop Forecasting Survey and interviewed and 20 households in each sample SEA. If households had moved, they were replaced by households listed previously during the CFS. Altogether 214 SEAs were covered and 4190 rural households were interviewed during the rural household survey. The rural survey was conducted in all districts of Zambia. Face-to-face [f2f] The urban and rural household survey questionnaires were designed by Food Security, Health and Nutrition Information System (FHANIS) with technical input from a number of key ministries. Both questionnaires collected information on: - Household structure and composition - Education - Water and sanitation - Health status and diarrhea management - Child immunization and Vitamin A supplementation - Nutrition, child feeding practices and salt iodization - Food security, composition and expenditure - Income sources The rural questionnaire was based on the urban questionnaire but modified to include additional questions on agricultural production and livestock, poultry and crop production. Before the field work began, a five day training of Master Trainers was conducted at the Central Statistical Office for each of the questionnaires, both urban and rural. Following this, training of the field enumeration and provincial based staff was conducted by the Master Trainers in the provinces. The field work was conducted by 132 field enumerators in the urban areas and 216 enumerators in the rural areas. Each province was supervised by one Master Trainer and the Provincial Statistical Officer. District Statistical Officers were responsible for supervision at the district level. For the urban component, listing of households in the selected SEA was conducted between 17 June and 21 June 1995. Interviews began on 23 June and were completed on 7 July 1995. Field work for the rural household survey was delayed due to logistical constraints and was conducted between 13 August and 2 September 1995 (listing was not necessary as the sample was based on the Crop Forecasting Survey). Enumerators were given a list of households from the Crop Forecasting Survey to replace those households which may have moved. Because sampling procedure for the rural and urban areas was over sampled, weighting factors have been calculated to present the national figures. Questionnaires from the rural household survey were keyed in at the provincial centers by provincial data entry clerks who attended the training for field enumerators. Four programmers from the Central Statistical Office visited the nine provincial capitals to install the data entry screen and the CONCOR programme that was used for cleaning and checking the data. Data entry clerks were also trained on how to use the software at this time. Except for Central Province and a few districts from Southern province, all the rural data was keyed in by provincial based data clerks. IMPS (Integrated Microcomputer Processing System) was used for data entry. IMPS has three parts, CENTRY which is used for data entry and verification, CONCOR for range skip and consistency checks in the data and CENTS for tabulation. The CONCOR programme was run at the provincial level before sending the diskettes and the questionnaires to Headquarters in Lusaka. This was repeated in Lusaka before merging the provincial data. The urban data was entered in Lusaka by the data entry clerks based at the Central Statistical Office Headquarters. Procedures which were applied during data entry for the rural household survey were also followed during entry of the urban household data. The Statistical Package for Social Science (SPSS) were used for tabulation and analysis. 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 of the data files (for datasets obtained on-line) 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.