{"doc_desc":{"title":"Housing Conditions Survey 2015","idno":"DDI-PSE-PCBS-HCS-2015-V1.0","producers":[{"name":"Palestinian Central Bureau of Statistics","abbreviation":"PCBS","affiliation":"Palestine","role":"Collection, Processing and dissemination of data"}],"prod_date":"2016-01-25","version_statement":{"version":"V1.1 (puplic use file)"}},"study_desc":{"title_statement":{"idno":"PSE-PCBS-HCS-2015-V1.0","title":"Housing Conditions Survey 2015","alt_title":"HCS","translated_title":"\u0645\u0633\u062d \u0638\u0631\u0648\u0641 \u0627\u0644\u0633\u0643\u0646 2015"},"authoring_entity":[{"name":"Palestinian Central Bureau of Statistics","affiliation":"Palestine"}],"oth_id":[{"name":"Palestine","affiliation":"PSE","email":"","role":"Fund survey"},{"name":"Core Funding Group","affiliation":"CFG","email":"","role":"Fund survey"},{"name":"The Swiss Development and Cooperation Agency","affiliation":"SDC","email":"","role":"Fund survey"}],"production_statement":{"copyright":"\u00a9 All rights reserved. Palestinian Central Bureau of Statistices, 2015","funding_agencies":[{"name":"Palestine","abbreviation":"PSE","role":"Fund survey"},{"name":"Core Funding Group","abbreviation":"CFG","role":"Fund survey"},{"name":"Swiss Development and Cooperation Agency (SDC).","abbreviation":"SDC","role":"Fund survey"}]},"distribution_statement":{"contact":[{"name":"Division of user services","affiliation":"Palestinian Central Bureau of Statistics","email":"diwan@pcbs.gov.ps","uri":"www.pcbs.gov.ps"}]},"series_statement":{"series_name":"Other Household Survey [hh\/oth]","series_info":"Periodic every 3 years and this survey is the fifth cicyle.The cicyle of the survey were conducted in 2000,2003,2006,2010,2016"},"version_statement":{"version":"V1.1 (Puplic use file)","version_date":"2016-01-25"},"study_info":{"keywords":[{"keyword":"Housing unit","vocab":"Concepts and Definitions glosary","uri":"http:\/\/www.pcbs.gov.ps\/Downloads\/book2117.pdf"}],"topics":[{"topic":"housing [10.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"}],"abstract":"Housing Conditions statistics relating to households are an important instrument for making decisions, planning, and drawing up strategies for the environment.  Due to the lack of data on this subject in Palestine, PCBS is building and developing a database on the housing in the household sector.\n\nHousing Conditions survey is based on a household sample survey conducted during the period from 24 March 2015 to 31 May 2015. It provides basic statistics on various aspects of housing unit characteristics, housing conditions, and housing density, A special questionnaire was designed in accordance with United Nations standards and recommendations in the field of housing statistics and adapted to Palestinian conditions.  \n\nThis survey aims to provide general reliable data on housing conditions in Palestine, regional data for the West Bank and Gaza Strip, and data by type of locality (urban, rural and refugee camps).  The survey is to carried out once every three years.","time_periods":[{"start":"2014-01-01","end":"2014-12-31","cycle":""}],"coll_dates":[{"start":"2015-03-24","end":"2015-05-31","cycle":""}],"nation":[{"name":"Palestine","abbreviation":"PSE"}],"geog_coverage":"Palestine","analysis_unit":"households","universe":"It consists of all Palestinian households who are staying normally in Palestine  during 2015.","data_kind":"Sample survey data [ssd]","notes":"Year of completing housing unit construction\n\nType of housing unit\n\nTenure of housing unit\n\nNumber of rooms in the housing unit.\n\nNumber of bed rooms in the housing unit\n\nHousing density\n\nAvailability of (water and electricity supplies, sewage network, phone line\u2026etc)\n\nAvailability of durable goods\n\nHousing Unit close to Public Service\n\nHouseholds need for housing units"},"method":{"data_collection":{"data_collectors":[{"name":"Palestinian Central Bureau of Statistics","abbreviation":"PCBS","affiliation":"Palestine"}],"sampling_procedure":"Sampling Frame:\nThe sampling frame was based  on master sample  which was update  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  level, 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 systematic random 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 housing questionnaire was designed in accordance with similar international experiences and with international standards and recommendations for the most important indicators, taking into account the special situation of Palestine.","coll_situation":"Field work 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 fieldworkers.","act_min":"I was carried out many visits for field","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.\tEditing 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.\n2.\tData entry:  The Housing Conditions 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\u00b7\tTo prevent the duplication of questionnaires during data entry.\n\u00b7\tTo apply checks on the integrity and consistency of entered data.\n\u00b7\tTo handle errors in a user friendly manner.\n\u00b7\tThe ability to transfer captured data to another format for data analysis using                                                              statistical analysis software such as SPSS."},"analysis_info":{"response_rate":"89.5%","sampling_error_estimates":"Data of this survey may be affected by sampling errors due to use of a sample and not 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,  it had been made ??great efforts through extensive training of fieldworkers on how to conduct interviews,  things that ought to be followed during an interview, things that should be avoided, making some practical and theoretical exercises during  training session, in addition to providing them with a manual booklet  for fieldworkers 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-biased data, Also data entry staff were trained on the data entry program, which was tested before starting the data entry process."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"General Statistics Law No. (5) for Year 2000\n\nArticle (17)\n 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, or used for any purpose other than for preparing statistical tables\n\n 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":"Palestine","email":"diwan@pcbs.gov.ps","uri":"www.pcbs.gov.ps"}],"cit_req":"Palestinian Central Bureau of Statistics,  Housing Conditions Survey 2015, V 1.1 (01-2016) Ramallah- Palestine","conditions":"Pledges  the utilization of \u201cdata\u201d or any copies thereof shall be limited to the purposes agreed upon including not granting any third parties any access to these data. Restrictions applies to any data duplication or transformed setting for purposes other than meeting the requirements of the statistical programs used in data analysis\n\n Utilization of \u201cdata\u201d or any copies thereof is limited to personal computers normally \n\n pledges not to alter the value of any observation in the original \u201cdata\u201d; nevertheless, this does not apply on subjecting data to any processes or procedures aiming to derive new variables. The first party does not bear any professional, administrative or financial responsibility for any losses incurred as a result of changes in the variables values","disclaimer":"The Palestinian Central Bureau of Statistics (PCBS) provide you with the data as is, without any warranty or responsibility implied. PCBS accepts no responsibility for the results and\/or implications of any analysis and\/or other actions conducted with this data"}}}}