{"type":"survey","doc_desc":{"title":"Household Environment Survey 2015","idno":"DDI_WBG_2015_HES_v01_M","producers":[{"name":"Palestinian Central Bureau of Statistics","abbreviation":"PCBS","affiliation":"State of Palestine","role":"Production of the DDI"}],"prod_date":"2021-08-20","version_statement":{"version":"Version 01 (August 2021). Edited version based on the original version: PSE-PCBS-HENS-2015-V1.0, that was produced by the Palestinian Central Bureau of Statistics. The following fields were edited: DDI ID and Study ID"}},"study_desc":{"title_statement":{"idno":"WBG_2015_HES_v01_M","title":"Household Environment Survey 2015","alt_title":"HES 2015"},"authoring_entity":[{"name":"Palestinian Central Bureau of Statistics","affiliation":"State of Palestine"}],"production_statement":{"producers":[{"name":"Palestinian Central Bureau of Statistics","affiliation":"State of Palestine","role":"Data collection, processing and analysis"}],"copyright":"(c)  All Rights Reserved.  Palestinian Central Bureau of Statistics,2015 V1.0 Ramallh - Palestine","funding_agencies":[{"name":"Palestine","abbreviation":"PSE","role":""},{"name":"Core Funding Group","abbreviation":"CFG","role":""}]},"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":"Other Household Survey [hh\/oth]"},"version_statement":{"version":"V1.0","version_date":"2015-12-31"},"study_info":{"keywords":[{"keyword":"Environment","vocab":"","uri":""},{"keyword":"Solid Waste","vocab":"","uri":""},{"keyword":"Wastewater","vocab":"","uri":""},{"keyword":"Air Pollution","vocab":"","uri":""}],"topics":[{"topic":"social behaviour and attitudes [13.6]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"}],"abstract":"Environmental 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 environment in the household sector.\n\nThis survey is based on a household sample survey conducted during the period from 24th March 2015 to 31st May 2015. It provides basic statistics on various aspects of the environment, including water, solid waste, wastewater, noise, and air pollution. A special questionnaire was designed in accordance with United Nations standards and recommendations in the field of environmental statistics and adapted to Palestinian conditions.  \n\nThis survey presents data on various environmental household indicators in Palestine and on water consumption for the household sector by water source, methods of solid waste disposal and their main components, the disposal of wastewater, and the existence of cesspits and water wells, in addition to exposure to noise and air pollution by source and time.","coll_dates":[{"start":"2015-03-24","end":"2015-05-31","cycle":""}],"nation":[{"name":"West Bank and Gaza","abbreviation":"WBG"}],"geog_coverage":"National","analysis_unit":"Household","universe":"It consists of all Palestinian households who are staying normally in Palestine during 2015.","data_kind":"Sample survey data [ssd]","notes":"This survey presents data on various environmental household indicators in Palestine and on water consumption for the household sector by water source, methods of solid waste disposal and their main components, the disposal of wastewater, and the existence of cesspits and water wells, in addition to exposure to noise and air pollution by source and time.  \n\nThe questionnaire covered the following items:\n- Source of water supply in houses.\n- Household solid waste disposal, its components, and its approximate quantity.\n- Wastewater disposal and the existence and use of cesspits in houses.\n- Air pollution in the area of the house by smell, dust and smoke.\n- Exposure to noise."},"method":{"data_collection":{"data_collectors":[{"name":"Palestinian Central Bureau of Statistics","abbreviation":"PCBS","affiliation":"State of Palestine"}],"sampling_procedure":"Sample and Frame\n\nThe sampling frame was based on the master sample which was updated in 2013-2014 for the Expenditure and Consumption Survey (PECS) and the Multiple Indicator Cluster Survey (MICS), 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\nSampling Design:\n- Two stage stratified cluster sample as following:\n\n- First stage: selection of a PPS random sample of 370 enumeration areas.\n- Second stage: A systematic random sample of 20 households from each enumeration area selected in the first stage.\n\n- Sample strata:\nThe population was divided by:\n1. Governorate\n2. Locality type (urban, rural, camps) \n\nSample Size:\nThe sample size is 7,690 households.","coll_mode":"Face-to-face [f2f]","research_instrument":"The environmental 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.","act_min":"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.","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 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 beginning of 2015 with regard to design strata (governorate, locality type).","cleaning_operations":"The data processing stage consisted of the following operations:\nEditing 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\nData entry: \nThe household Environmental 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:\n1. To prevent the duplication of questionnaires during data entry.\n2. To apply checks on the integrity and consistency of entered data.\n3. To handle errors in a user friendly manner.\n4. The ability to transfer captured data to another format for data analysis using statistical analysis software such as SPSS.","method_notes":"Questions and data of the questionnaire were coded according to previously prepared coding guide an handled to data entry personnel."},"analysis_info":{"response_rate":"Response rate: 89.5%\n\n7,690 households had been reached as a representative sample to Palestine, where the number of completed questionnaires amounted to 6,609 questionnaires of which 4,536 questionnaires were in West Bank and 2,073 questionnaires in Gaza Strip. Weights were amended at the level of design strata to modify effects of refusals rates and non response.","sampling_error_estimates":"The concept of data quality covers many aspects, starting from the initial planning of the survey to the dissemination of the results and how well users understand and use the data. There are seven dimensions of statistical quality: relevance, accuracy, timeliness and punctuality, accessibility and clarity, comparability, coherence and completeness.\n\nAccuracy\n\nThis includes many aspects of the survey, mainly statistical errors due to the use of a sample, and also non-statistical errors from workers and survey tools. It also includes the response rates in this survey and their effect on the assumptions. This section includes:\n\nSampling Errors:\nData 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 in the final report found in the related external resources under downloads. There is no problem with the dissemination of results on national and regional level (North, Middle, South West Bank, Gaza Strip) or by locality type. \n\nNon Sampling Errors:\nThe 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. \n\nAs for office work, they had been trained for a special auditing of questionnaires and error detection, which greatly reduced rates of errors during field work. In order to reduce the percentage of errors during data entry, the program was designed to enter data so as not to allow any mistakes during the process and contained many of logical terms. This process led to disclosure of most of errors that had not been found in earlier phases of the work, where they were correcting all the errors that had been discovered.\n \nAfter the completion of the aforesaid audits, data consistency was examined by computer using frequency and cross tables as turned out to be quite consistent. Errors impact was not detectable on data quality. This in turn gave a good impression of those in charge of the survey that we could rely on this data and extract reliable statistical and high significant indicators on the reality of corruption in Palestine."}},"data_access":{"dataset_availability":{"access_place":"Palestine Central Bureau of Statistics","access_place_uri":"https:\/\/www.pcbs.gov.ps\/PCBS-Metadata-en-v4.3\/index.php\/catalog\/656","original_archive":"Palestine Central Bureau of Statistics\nhttps:\/\/www.pcbs.gov.ps\/PCBS-Metadata-en-v4.3\/index.php\/catalog\/656"},"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"},{"name":"Palestinian Central Bureau of Statistics","affiliation":"State of Palestine","email":"dus@pcbs.gov.ps","uri":"www.pcbs.gov.ps"}],"cit_req":"Palestinian Central Bureau of Statistics, 2015. Household Environmental Survey - 2015: Main Findings. 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