{"type":"survey","doc_desc":{"title":"Household  Farming Survey 2015","idno":"DDI_WBG_2015_HFS_v01_M","producers":[{"name":"Palestinian Central Bureau of Statistics","abbreviation":"PCBS","affiliation":"State of Palestine","role":"Collection, processing and dissemination of data"}],"prod_date":"2021-09-29","version_statement":{"version":"Version 1 (September 2021). This version is similar to the original version (DDI-PSE-PCBS-HFS-2015-V1.0) that was documented by the Palestinian Central Bureau of Statistics except for the DDI ID and Study ID fields that were updated."}},"study_desc":{"title_statement":{"idno":"WBG_2015_HFS_v01_M","title":"Household Farming Survey 2015","alt_title":"HFS 2015"},"authoring_entity":[{"name":"Palestinian Central Bureau of Statistics","affiliation":"State of Palestine"}],"oth_id":[{"name":"The Palestinian Government and the Core Funding Group","affiliation":"CFG","email":"","role":"Funding "}],"production_statement":{"copyright":"(c) All Rights Reserved. Palestinian Central Bureau of Statistics, 2015.","funding_agencies":[{"name":"State of Palestine","abbreviation":"PSE","role":"Funding "},{"name":"The Core Funding Group","abbreviation":"CFG","role":"Funding "}]},"distribution_statement":{"contact":[{"name":"Division of user services","affiliation":"Palestinian Central Bureau of Statistics","email":"Dus@pcbs.gov.ps","uri":""},{"name":"Mail office","affiliation":"Palestinian Central Bureau of Statistics","email":"Diwan@pcbs.gov.ps","uri":""}]},"series_statement":{"series_name":"Agricultural Survey [ag\/oth]"},"version_statement":{"version":"V1.0: Edited, anonymous dataset for public distribution.","version_date":"2016-06-15"},"study_info":{"keywords":[{"keyword":"Household  Farming","vocab":"","uri":""}],"topics":[{"topic":"housing [10.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"}],"abstract":"Data on agriculture is necessary to draw up policies and plans for the future development of this sector. Agriculture plays a vital role and represents a significant share of the Palestinian Gross Domestic Product (GDP), and of the Palestinian labour force. Statistical data on Household Farming is a components of agricultural sector and with direct to the economy; PCBS has henceforth implemented a survey on Household  Farming.\n\nHousehold  Farming Survey 2015 conducted from 24 March 2015 to 31 May 2015 aims to provide data on the structure of Household Farming sector to inform future policies and plans for development.\n\nData include availability of a garden, use of garden in agricultural activity and the reasons of unused arable area, as well as the numbers of reared livestock (domestic), distribution patterns of the production from garden and Livestock (Domestic).","time_periods":[{"start":"2013-10-01","end":"2014-09-30","cycle":""}],"coll_dates":[{"start":"2015-03-24","end":"2015-05-31","cycle":""}],"nation":[{"name":"West Bank and Gaza","abbreviation":"WBG"}],"geog_coverage":"State of Palestine","analysis_unit":"Household","universe":"All Palestinian households who reside normally in Palestine during 2015.","data_kind":"Sample survey data [ssd]","notes":"Data includes availability of a garden, use of garden in agricultural activity and the reasons of unused arable area, as well as the numbers of reared livestock (domestic), distribution patterns of the production from garden and livestock (Domestic)."},"method":{"data_collection":{"data_collectors":[{"name":"Palestinian Central Bureau of Statistics","abbreviation":"PCBS","affiliation":"Palestinian National Authority "}],"sampling_procedure":"Sampling Frame: \nThe sampling frame was based on a master sample which was updated in 2013-2014 for Expenditure and Consumption Survey (PECS) and Multiple Indicator Cluster Survey (MICS)) surveys, and the frame consists from enumeration areas. These enumeration areas are used as primary sampling units (PSUs) in the first stage of the sampling selection.\n\nSample size:\nThe sample size is 7,690 households for Palestine, of which 6,609 households responded.\n\nSampling Design:\nTwo stage stratified cluster (PPS) sample as following:\n\nFirst stage: selection of a PPS random sample of 370 enumeration areas.\n\nSecond stage: A random systematic sample of 20 households from each enumeration area selected in the first stage.\n\nSample strata:\nThe population was divided by:\n1- Governorate\n2- locality type (urban, rural, camps)","coll_mode":"Face-to-face [f2f]","research_instrument":"The questionnaire for the Household Farming Survey 2015 was designed based on the recommendations of the United Nations, and the questionnaire used for Survey of the Impact of the Israeli Unilateral Measures on the Social, Economic, and Environmental Conditions of the Palestinian Households. The specific situation of Palestine was taken into account, in addition to the requirements of the technical phase of field work and of data processing and analysis.","coll_situation":"Fieldwork activities started on 24\/03\/2015 and lasted until 31\/05\/2015. Field workers were distributed to all governorates according to the sample size of each governorate. The field work team consisted of 55 members, including 10 supervisors, 7 editors and 38 field workers.","act_min":"Supervision was carried through field visits.","weight":"The weight of statistical units (sampling units) in the sample is defined as the mathematical inverse of the selection probability where the sample of the survey is two-stage stratified cluster (PPS) sample. Thus, in the first stage we calculate the weight of enumeration areas depending on the probability of each enumeration area. Second stage we calculate the weight of households in each enumeration area. Initial household weights resulted from the product of the weight of the first stage and the weight of the second stage. Final household weights were obtained after adjustment of initial weights with the household estimates of the middle of 2015 with regard to design strata (governorate, locality type).","cleaning_operations":"The data processing stage consisted of the following operations:\n1. Editing and coding prior to data entry: all questionnaires were edited and coded in the   office using the same instructions adopted for editing in the field.\n\n2. Data entry: \nThe Household Farming Survey questionnaire was programmed and the data were entered into the computer in the offices in Nablus, Hebron, Ramallah and Gaza. At this stage, data were entered into the computer using a data entry template developed in Access. The data entry program was prepared to satisfy a number of requirements:\n- To prevent the duplication of questionnaires during data entry.\n- To apply checks on the integrity and consistency of entered data.\n- To handle errors in a user-friendly manner.\n- The ability to transfer captured data to another format for data analysis using statistical analysis software such as SPSS."},"analysis_info":{"response_rate":"86.0%","sampling_error_estimates":"Data of this survey may be affected by sampling errors due to use of a sample rather than a complete enumeration. Therefore, certain differences are expected in comparison with the real values obtained through censuses. Variances were calculated for the most important indicators and the variance table is attached with the final report.","data_appraisal":"The non-sampling errors are possible to occur at all phases of implementing the project, through data collection and entry which could be summarized as non-response errors, and responding errors (respondents), and interview errors (fieldworkers) and data-entry errors. To avoid errors and reduce the impact, fieldworkers received intensive training on how to conduct interviews, interview tips, things that should be avoided. The training had, practical and theoretical exercises. Fieldworkers also received a guide which contained a private key questions of questionnaire, mechanism to fill questionnaire and methods of dealing with respondents to reduce refusal rates and providing correct and non-based data. Also, data entry staff were trained on the data entry program, which was tested before starting the data entry process."}},"data_access":{"dataset_availability":{"access_place":"Palestinian Central Bureau of Statistics","access_place_uri":"https:\/\/www.pcbs.gov.ps\/PCBS-Metadata-en-v4.3\/index.php\/catalog\/615","original_archive":"Palestinian Central Bureau of Statistics\nhttps:\/\/www.pcbs.gov.ps\/PCBS-Metadata-en-v4.3\/index.php\/catalog\/615"},"dataset_use":{"conf_dec":[{"txt":"General Statistics Law No. (5) for Year 2000\n\nArticle (17)\n1.  All individual information and data submitted to the Bureau for statistical purposes shall be treated as confidential and shall not be divulged, in whole or in part, to any individual or to a public or private body, \n     or used for any purpose other than for preparing statistical tables. \n2.  The Bureau shall endeavor to issue official statistical publications in aggregate tables, which do not disclose individual data, in conformity with the confidentiality of statistical data.","required":"yes","form_no":"","uri":""}],"contact":[{"name":"Palestinian Central Bureau of Statistics","affiliation":"State of Palestine","email":"diwan@pcbs.gov.ps","uri":"www.pcbs.gov.ps"}],"cit_req":"Palestinian Central Bureau of Statistics, Household Farming Survey, 2015. Version 1.1 (08, 2016). Ramallah - Palestine"}}},"schematype":"survey","data_files":[{"file_id":"F1","file_name":"Data","description":"Identification data.\nIndicators about the household.\nData of household farming: Includes indicators on households by availability of a garden, households who have a garden by use of garden in agricultural activity, households who have a garden and non-used in agricultural activity by reason, area of garden, number of horticultural trees cultivated in a garden by type, cultivated area of temporary crops (vegetables and field crops) in a garden, households by rearing of livestock (domestic), numbers of reared livestock (domestic) by type,  and product distribution pattern of a garden and livestock 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