{"type":"survey","study_desc":{"title_statement":{"idno":"WBG_2008_EES_v01_M","title":"Environmental Economic Survey 2008","alt_title":"EES 2008"},"authoring_entity":[{"name":"Palestinian Central Bureau of Statistics","affiliation":"Palestinian National Authority"}],"oth_id":[{"name":"Palestinian National Authority","affiliation":"(PNA)","email":"","role":""},{"name":"Core funding Group","affiliation":"(CFG)","email":"","role":""},{"name":"all Palestinian Establishments that responded to the survey instrument","affiliation":"CFG","email":"","role":""}],"production_statement":{"producers":[{"name":"Palestinian Central Bureau of Statistics","affiliation":"Palestinian National Authority","role":""}],"copyright":"\u00a9 September, 2009,Palestinian Central Bureau of Statistics","funding_agencies":[{"name":"Palestinian National Authority","abbreviation":"(PNA)","role":""},{"name":"Core funding Group","abbreviation":"(CFG)","role":""},{"name":"European Union.","abbreviation":"(EU)","role":""}]},"distribution_statement":{"contact":[{"name":"Division of users services","affiliation":"Palestinian Central Bureau of Statistics","email":"diwan@pcbs.gov.ps","uri":"http:\/\/www.pcbs.gov.ps"}]},"series_statement":{"series_name":"Enterprise Survey [en\/oth]"},"version_statement":{"version":"Version 1.5 (edited\/final), based on data files and other material downloaded from pcbs website","version_date":"2010-06-06"},"study_info":{"keywords":[{"keyword":"Wastewater Network","uri":""},{"keyword":"Waste Collection","uri":""}],"topics":[{"topic":"Economic conditions and indicators [1.2]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"}],"abstract":"The Environmental Economic survey was implemented in 2008. Its main objective was to provide reliable data of environmental reality on the economic establishments in the Palestinian Territory, including the methods used to handle the solid waste and wastewater. It includes also the role of the local authority in providing the suitable environment that will reduce the negative effect of the different types of pollution on the economic sector.","coll_dates":[{"start":"2008-04-20","end":"2008-08-03","cycle":""}],"nation":[{"name":"West Bank and Gaza","abbreviation":"WBG"}],"geog_coverage":"West Bank and Gaza Strip","analysis_unit":"Economic Establishments","universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory","data_kind":"Sample survey data [ssd]"},"method":{"data_collection":{"data_collectors":[{"name":"Palestinian Central Bureau of Statistics","abbreviation":"PCBS","affiliation":"Palestinian National Authority"}],"sampling_procedure":"The sample is a single-stage stratified cluster random sample. It was 3,458 Palestinian economic establishments distributed according to the economic activities and governorates.The sampling frame was based on the Establishments' Census-2007 conducted by PCBS","coll_mode":"Face-to-face [f2f]","research_instrument":"The environmental questionnaire was designed according to international standards and recommendations for the most important indicators, taking into account the special situation of Palestine. Many visits for economical establishments were made in order to improve the survey tools and to test the questionnaire before implementing the survey; consequently some modifications were made on the questionnaire and on the instructions following the visits","act_min":"Several measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","cleaning_operations":"The data processing stage contain of the following operations:\n\nEditing before data entry: all questionnaires were edited again in the office using the same instructions adopted for editing in the fields.\nData entry: In this stage data were entered into the computer, using Access database. \n\nThe data entry program was prepared to satisfy a number of requirements such as:\n- Duplication of the questionnaire on the computer screen.\n- Logical and consistency check of data entered.\n- Possibility for internal editing of questions answers.\n- Maintaining a minimum of digital data entry and fieldwork errors.\n- User-Friendly handling.\n- Possibility of transferring data into another format to be used and analyzed using other statistical analytical systems such as SAS and SPSS"},"analysis_info":{"sampling_error_estimates":"Sampling Error: These types of errors evolved as a result of studying a part of the society and not all of it, and because this survey is sample based, the data of this survey will be affected by sampling errors due to using a sample and not the whole frame of the society, and therefore differences appear compared with the actual values that could be obtained through a census. For this survey, variance calculations were made for amounts of water consumed in the economic establishments by region and activity, and the main source of obtaining water in the economic establishments by region and activity."}},"data_access":{"dataset_availability":{"access_place":"Palestinian Central Bureau of Statistics","access_place_uri":"http:\/\/www.pcbs.gov.ps\/pcbs-metadata-en-v4.3\/index.php\/catalog\/243","original_archive":"Palestinian Central Bureau of Statistics\nhttp:\/\/www.pcbs.gov.ps\/pcbs-metadata-en-v4.3\/index.php\/catalog\/243\nCost: None"},"dataset_use":{"conf_dec":[{"txt":"Data compiled in the context of Environmental Economic Survey 2009 involves data about Palestinian Establishments. The confidentiality of such data is honored and safeguarded in accordance with Article (17) of the Palestinian General Statistical Law of 2000, which stipulates \"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\".","required":"yes","form_no":"","uri":""}],"contact":[{"name":"Palestinian Central Bureau of Statistics","affiliation":"Palestinian National Authority","email":"Diwan@pcbs.gov.ps","uri":"http:\/\/www.pcbs.gov.ps"}],"cit_req":"Citation requirement is the way that the dataset should be referenced when cited in any publication. Every dataset should have a citation requirement. This will guarantee that the data producer gets proper credit, and that analytical results can be linked to the proper version of the dataset. The Access Policy should explicitly mention the obligation to comply with the citation requirement. The citation should include at least the primary investigator, the name and abbreviation of the dataset, the reference year, and the version number. Include also a website where the data or information on the data is made available by the official data depositor.\n\nExample:\n\nSuggested Citation:\nPalestinian Central Bureau of Statistics, 2009. Environmental Economic Survey, 2009","conditions":"1. Pledges the utilization of \"data\" 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.\n2. Utilization of \"data\" or any copies thereof is limited to personal computers normally .\n3. Pledges not to alter the value of any observation in the original \"data\"; 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."}}},"data_files":[{"file_id":"F1","file_name":"Environmental Economic Survey, 2008 Main File","description":"Main file","case_count":"0","var_count":"25","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F2","file_name":"Environmental Economic Survey, 2008 Seperated Solidwaste","description":"Environmental Economic Survey, 2008 Seperated Solid waste","case_count":"0","var_count":"10","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null}],"variables":[{"vid":"V1","name":"seqno","file_id":"F1","var_dcml":"1","var_intrvl":"contin","var_start_pos":"1","var_end_pos":"10","var_width":"10","var_rec_seg_no":"1","labl":"Establishment number","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"Establishment number","var_val_range":[{"units":"REAL","min":"6457","max":"16023617"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Establishment\nAn enterprise or part of an enterprise in which one group of goods and services is produced (with the possibility of having secondary activities).","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V2","name":"EW01A","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"11","var_end_pos":"11","var_width":"1","var_rec_seg_no":"1","labl":"The main sources of obtaining water in the establishment","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"The main sources of obtaining water in the establishment","var_val_range":[{"units":"REAL","min":"1","max":"5"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Public Water Network \nIs a network of main sub-assembly pipes expanded in the locality for the purpose of population distribution and delivery of potable water.","var_catgry":[{"value":"1","labl":"Public water network","stats":null,"type":null},{"value":"2","labl":"Collection rain water well","stats":null,"type":null},{"value":"3","labl":"Buying tanks","stats":null,"type":null},{"value":"4","labl":"Others, specify","stats":null,"type":null},{"value":"5","labl":"Do not use water","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V3","name":"EW01B","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"12","var_end_pos":"15","var_width":"4","var_rec_seg_no":"1","labl":"The average monthly consumed water in the establishment (m3)","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"The average monthly consumed water in the establishment (m3)","var_val_range":[{"units":"REAL","min":"1","max":"9000"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V4","name":"EW02","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"16","var_end_pos":"16","var_width":"1","var_rec_seg_no":"1","labl":"Wastewater disposal method","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"Wastewater disposal method","var_val_range":[{"units":"REAL","min":"1","max":"4"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Wastewater Network\nSystem of collectors, pipelines, conduits and pumps to evacuate wastewater (rainwater, domestic and other wastewater) from any of the location paces generation either to municipal sewage treatment plant or to a location place where wastewater is discharged.\n\nCesspit \nA well or a pit in which night soil and other refuse is stored, constructed with either tight or porous walls.","var_catgry":[{"value":"1","labl":"Wastewater network","stats":null,"type":null},{"value":"2","labl":"Tight cesspit","stats":null,"type":null},{"value":"3","labl":"Porous cesspit","stats":null,"type":null},{"value":"4","labl":"Others, specify","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V5","name":"EW03","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"17","var_end_pos":"17","var_width":"1","var_rec_seg_no":"1","labl":"Wastewater treatment","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"Wastewater treatment","var_qstn_postqtxt":"What is the average monthly of produced solid waste quantity in the establishment (Kg)?","var_qstn_ivulnstr":"No (Go to ES01)","var_val_range":[{"units":"REAL","min":"1","max":"2"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Wastewater Treatment \nProcess to render wastewater fit to meet environmental standards or other quality norms. Three broad types of treatment may be distinguished: mechanical, biological, and advanced.","var_catgry":[{"value":"1","labl":"Yes","stats":null,"type":null},{"value":"2","labl":"No","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V6","name":"EW04","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"18","var_end_pos":"18","var_width":"1","var_rec_seg_no":"1","labl":"Type of wastewater treatment","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"Type of wastewater treatment","var_val_range":[{"units":"REAL","min":"1","max":"3"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Wastewater Treatment \nProcess to render wastewater fit to meet environmental standards or other quality norms. Three broad types of treatment may be distinguished: mechanical, biological, and advanced.","var_catgry":[{"value":"1","labl":"Mechanical treatment","stats":null,"type":null},{"value":"2","labl":"Chemical treatment","stats":null,"type":null},{"value":"3","labl":"Biological treatment","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V7","name":"EW05A","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"19","var_end_pos":"19","var_width":"1","var_rec_seg_no":"1","labl":"Reuse of treated wastewater","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"Reuse of treated wastewater","var_qstn_postqtxt":"What is the average monthly of produced solid waste quantity in the establishment (Kg)?","var_qstn_ivulnstr":"No (Go to ES01)","var_val_range":[{"units":"REAL","min":"1","max":"2"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Wastewater Treatment \nProcess to render wastewater fit to meet environmental standards or other quality norms. Three broad types of treatment may be distinguished: mechanical, biological, and advanced.","var_catgry":[{"value":"1","labl":"Yes","stats":null,"type":null},{"value":"2","labl":"No","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V8","name":"EW05B","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"20","var_end_pos":"20","var_width":"1","var_rec_seg_no":"1","labl":"For what the treated wastewater reuse","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"For what the treated wastewater reuse","var_val_range":[{"units":"REAL","min":"1","max":"3"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Wastewater Treatment \nProcess to render wastewater fit to meet environmental standards or other quality norms. Three broad types of treatment may be distinguished: mechanical, biological, and advanced.","var_catgry":[{"value":"1","labl":"Cooling","stats":null,"type":null},{"value":"2","labl":"Activity uses","stats":null,"type":null},{"value":"3","labl":"Others, specify","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V9","name":"ES01","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"21","var_end_pos":"27","var_width":"7","var_rec_seg_no":"1","labl":"The average monthly of produced solid waste quantity in the establishment","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_preqtxt":"Wastewater treatment\n\n\nDid the treated wastewater reuse in the establishment?","var_qstn_qstnlit":"The average monthly of produced solid waste quantity in the establishment","var_val_range":[{"units":"REAL","min":"1","max":"3000000"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V10","name":"ES02","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"28","var_end_pos":"28","var_width":"1","var_rec_seg_no":"1","labl":"Does solid waste separate before final dispose","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"Does solid waste separate before final dispose","var_qstn_ivulnstr":"Yes totally (don't answer B section) \n\nDo not separate (don't answer A section and go to B section)","var_val_range":[{"units":"REAL","min":"1","max":"3"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Solid Waste \nUseless and sometimes hazardous material with low liquid content, solid wastes include municipal garbage, industrial and commercial waste, sewage sludge, wastes resulting from agricultural and animal husbandry operations and other connected activities, demolition wastes and mining residues.","var_catgry":[{"value":"1","labl":"Yes totally","stats":null,"type":null},{"value":"2","labl":"Yes partially","stats":null,"type":null},{"value":"3","labl":"Do not separate","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V11","name":"ES04_B","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"29","var_end_pos":"34","var_width":"6","var_rec_seg_no":"1","labl":"The average monthly of non-separated solid waste quantity in the establishment (Kg)","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"The average monthly of non-separated solid waste quantity in the establishment (Kg)","var_val_range":[{"units":"REAL","min":"0","max":"900000"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V12","name":"ES05_B","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"35","var_end_pos":"35","var_width":"1","var_rec_seg_no":"1","labl":"The most important mean of putting non-separated solid waste","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"The most important mean of putting non-separated solid waste","var_val_range":[{"units":"REAL","min":"1","max":"6"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Nylon bags","stats":null,"type":null},{"value":"2","labl":"Special bags","stats":null,"type":null},{"value":"3","labl":"Carton boxes","stats":null,"type":null},{"value":"4","labl":"Metal boxes","stats":null,"type":null},{"value":"5","labl":"Plastic boxes","stats":null,"type":null},{"value":"6","labl":"Others, specify","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V13","name":"ES06_B","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"36","var_end_pos":"36","var_width":"1","var_rec_seg_no":"1","labl":"The number of times that non-separated solid waste collected in the establishment last week","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"The number of times that non-separated solid waste collected in the establishment last week","var_val_range":[{"units":"REAL","min":"1","max":"3"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"1-3 times","stats":null,"type":null},{"value":"2","labl":"4-6 times","stats":null,"type":null},{"value":"3","labl":"7 times and more","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V14","name":"ES07_B","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"37","var_end_pos":"37","var_width":"1","var_rec_seg_no":"1","labl":"Main non-separated solid waste disposal method","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"Main non-separated solid waste disposal method","var_val_range":[{"units":"REAL","min":"1","max":"3"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Manual","stats":null,"type":null},{"value":"2","labl":"Special tools","stats":null,"type":null},{"value":"3","labl":"Both methods","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V15","name":"ES17","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"38","var_end_pos":"38","var_width":"1","var_rec_seg_no":"1","labl":"Solid waste collection mean inside the Establishment","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"Solid waste collection mean inside the Establishment","var_qstn_postqtxt":"Where did the solid waste collect before its final disposal?","var_qstn_ivulnstr":"Without container (Go to ES20)","var_val_range":[{"units":"REAL","min":"1","max":"5"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Municipality open container","stats":null,"type":null},{"value":"2","labl":"Municipality closed container","stats":null,"type":null},{"value":"3","labl":"Establishment open container","stats":null,"type":null},{"value":"4","labl":"Establishment closed container","stats":null,"type":null},{"value":"5","labl":"Without container","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V16","name":"ES18","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"39","var_end_pos":"39","var_width":"1","var_rec_seg_no":"1","labl":"Material of construction of the container","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"Material of construction of the container","var_val_range":[{"units":"REAL","min":"1","max":"3"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Metal","stats":null,"type":null},{"value":"2","labl":"Plastic","stats":null,"type":null},{"value":"3","labl":"Others, specify","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V17","name":"ES19","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"40","var_end_pos":"40","var_width":"1","var_rec_seg_no":"1","labl":"Volume of the used container in m3","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"Volume of the used container in m3","var_val_range":[{"units":"REAL","min":"1","max":"3"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"1 to 3 m3","stats":null,"type":null},{"value":"2","labl":". 4 to 6 m3","stats":null,"type":null},{"value":"3","labl":"7 m3 and more","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V18","name":"ES20","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"41","var_end_pos":"41","var_width":"1","var_rec_seg_no":"1","labl":"Where was the waste collection place","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_preqtxt":"Where was the solid waste dispose after its collection inside the establishment","var_qstn_qstnlit":"Where was the waste collection place","var_qstn_postqtxt":"who is transporting solid waste to the final disposing place?","var_qstn_ivulnstr":". Inside establishment building (Go to ES22)\n\n. Inside establishment square (Go to ES22)","var_val_range":[{"units":"REAL","min":"1","max":"3"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Inside establishment building","stats":null,"type":null},{"value":"2","labl":"Inside establishment square","stats":null,"type":null},{"value":"3","labl":"Outside establishment","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V19","name":"ES21","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"42","var_end_pos":"42","var_width":"1","var_rec_seg_no":"1","labl":"The distance between the establishment and waste collection place","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"The distance between the establishment and waste collection place","var_val_range":[{"units":"REAL","min":"1","max":"3"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Less than 50 m","stats":null,"type":null},{"value":"2","labl":"51 to 150 m","stats":null,"type":null},{"value":"3","labl":"151m and more","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V20","name":"ES22","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"43","var_end_pos":"43","var_width":"1","var_rec_seg_no":"1","labl":"The doer of transporting solid waste from establishment to the final disposing place","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_preqtxt":"Where did the solid waste collect before its final disposal?","var_qstn_qstnlit":"The doer of transporting solid waste from establishment to the final disposing place","var_val_range":[{"units":"REAL","min":"1","max":"5"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"The establishment","stats":null,"type":null},{"value":"2","labl":"Local authority","stats":null,"type":null},{"value":"3","labl":"Private contractor","stats":null,"type":null},{"value":"4","labl":"UNRWA","stats":null,"type":null},{"value":"5","labl":"Others, specify","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V21","name":"ES23","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"44","var_end_pos":"44","var_width":"1","var_rec_seg_no":"1","labl":"Where are the solid waste transport for final disposing","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"Where are the solid waste transport for final disposing","var_val_range":[{"units":"REAL","min":"1","max":"4"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Solid Waste \nUseless and sometimes hazardous material with low liquid content, solid wastes include municipal garbage, industrial and commercial waste, sewage sludge, wastes resulting from agricultural and animal husbandry operations and other connected activities, demolition wastes and mining residues","var_catgry":[{"value":"1","labl":"Local authority dumping site","stats":null,"type":null},{"value":"2","labl":"Private dumping site","stats":null,"type":null},{"value":"3","labl":"Randomly","stats":null,"type":null},{"value":"4","labl":"Others, specify","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V22","name":"ES24","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"45","var_end_pos":"45","var_width":"1","var_rec_seg_no":"1","labl":"The frequency of transporting solid waste during the last week","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"The frequency of transporting solid waste during the last week","var_val_range":[{"units":"REAL","min":"1","max":"3"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"1 to 3 times","stats":null,"type":null},{"value":"2","labl":"4 to 6 times","stats":null,"type":null},{"value":"3","labl":"7 times and more","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V23","name":"region","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"46","var_end_pos":"46","var_width":"1","var_rec_seg_no":"1","labl":"Region","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"Region","var_val_range":[{"units":"REAL","min":"1","max":"4"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"North of West Bank","stats":null,"type":null},{"value":"2","labl":"Middle of West Bank","stats":null,"type":null},{"value":"3","labl":"South of West Bank","stats":null,"type":null},{"value":"4","labl":"Gaza Strip","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V24","name":"weight_f","file_id":"F1","var_dcml":"1","var_intrvl":"contin","var_start_pos":"47","var_end_pos":"51","var_width":"5","var_rec_seg_no":"1","labl":"Establishment weight","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"Establishment weight","var_val_range":[{"units":"REAL","min":"1","max":"118.272727272727"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Establishment\nAn enterprise or part of an enterprise in which one group of goods and services is produced (with the possibility of having secondary activities).","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V25","name":"activity","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"52","var_end_pos":"52","var_width":"1","var_rec_seg_no":"1","labl":"Economic activity","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"Economic activity","var_val_range":[{"units":"REAL","min":"1","max":"9"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Industrial activities","stats":null,"type":null},{"value":"2","labl":"Constructions","stats":null,"type":null},{"value":"3","labl":"Whole sale, retail & repairs","stats":null,"type":null},{"value":"4","labl":"Hotels & restaurants","stats":null,"type":null},{"value":"5","labl":"Transport, storage and communications","stats":null,"type":null},{"value":"6","labl":"Real estate, renting & business activities","stats":null,"type":null},{"value":"7","labl":"Education","stats":null,"type":null},{"value":"8","labl":"Health & social work","stats":null,"type":null},{"value":"9","labl":"Community, social and personal services","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V26","name":"seqno","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"1","var_end_pos":"7","var_width":"7","var_rec_seg_no":"1","labl":"Establishment number","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"Establishment number","var_val_range":[{"units":"REAL","min":"9591","max":"4116473"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Establishment\nAn enterprise or part of an enterprise in which one group of goods and services is produced (with the possibility of having secondary activities).","var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V27","name":"ES03_CODE","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"8","var_end_pos":"8","var_width":"1","var_rec_seg_no":"1","labl":"Type of solid waste","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"Type of solid waste","var_val_range":[{"units":"REAL","min":"1","max":"9"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Solid Waste \nUseless and sometimes hazardous material with low liquid content, solid wastes include municipal garbage, industrial and commercial waste, sewage sludge, wastes resulting from agricultural and animal husbandry operations and other connected activities, demolition wastes and mining residues.","var_catgry":[{"value":"1","labl":"Paper & cartons","stats":null,"type":null},{"value":"2","labl":"Plastic & rubber","stats":null,"type":null},{"value":"3","labl":"Glass & metal","stats":null,"type":null},{"value":"4","labl":"Soil & stones","stats":null,"type":null},{"value":"5","labl":"Food waste","stats":null,"type":null},{"value":"6","labl":"Sharped waste","stats":null,"type":null},{"value":"7","labl":"Infected waste","stats":null,"type":null},{"value":"8","labl":"Radio waste","stats":null,"type":null},{"value":"9","labl":"Chemical waste","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V28","name":"ES03","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"9","var_end_pos":"9","var_width":"1","var_rec_seg_no":"1","labl":"Does any of the following solid waste components separate","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"Does any of the following solid waste components separate","var_val_range":[{"units":"REAL","min":"1","max":"3"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Yes","stats":null,"type":null},{"value":"2","labl":"No","stats":null,"type":null},{"value":"3","labl":"Not produced","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V29","name":"ES04","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"10","var_end_pos":"15","var_width":"6","var_rec_seg_no":"1","labl":"The average monthly quantity of separated solid waste","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"The average monthly quantity of separated solid waste","var_val_range":[{"units":"REAL","min":"1","max":"899990"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Solid Waste \nUseless and sometimes hazardous material with low liquid content, solid wastes include municipal garbage, industrial and commercial waste, sewage sludge, wastes resulting from agricultural and animal husbandry operations and other connected activities, demolition wastes and mining residues.","var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V30","name":"ES05","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"16","var_end_pos":"16","var_width":"1","var_rec_seg_no":"1","labl":"The second mean of putting separated solid waste during the last month","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"The second mean of putting separated solid waste during the last month","var_val_range":[{"units":"REAL","min":"1","max":"6"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Nylon bags","stats":null,"type":null},{"value":"2","labl":"Special bags","stats":null,"type":null},{"value":"3","labl":"Carton boxes","stats":null,"type":null},{"value":"4","labl":"Metal boxes","stats":null,"type":null},{"value":"5","labl":"Plastic boxes","stats":null,"type":null},{"value":"6","labl":"Others, specify","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V31","name":"ES06","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"17","var_end_pos":"17","var_width":"1","var_rec_seg_no":"1","labl":"The number of times that non-separated solid waste collected in the establishment last week","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"The number of times that non-separated solid waste collected in the establishment last week","var_val_range":[{"units":"REAL","min":"1","max":"3"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"1-3 times","stats":null,"type":null},{"value":"2","labl":"4-6 times","stats":null,"type":null},{"value":"3","labl":"7 times and more","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V32","name":"ES07","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"18","var_end_pos":"18","var_width":"1","var_rec_seg_no":"1","labl":"The main separated solid waste disposal method last month","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"The main separated solid waste disposal method last month","var_val_range":[{"units":"REAL","min":"1","max":"3"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Solid Waste \nUseless and sometimes hazardous material with low liquid content, solid wastes include municipal garbage, industrial and commercial waste, sewage sludge, wastes resulting from agricultural and animal husbandry operations and other connected activities, demolition wastes and mining residues.","var_catgry":[{"value":"1","labl":"Manual","stats":null,"type":null},{"value":"2","labl":"Special tools","stats":null,"type":null},{"value":"3","labl":"Both methods","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V33","name":"region","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"19","var_end_pos":"19","var_width":"1","var_rec_seg_no":"1","labl":"Region","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"Region","var_val_range":[{"units":"REAL","min":"1","max":"4"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"North of West Bank","stats":null,"type":null},{"value":"2","labl":"Middle of West Bank","stats":null,"type":null},{"value":"3","labl":"South of West Bank","stats":null,"type":null},{"value":"4","labl":"Gaza Strip","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V34","name":"weight_f","file_id":"F2","var_dcml":"1","var_intrvl":"contin","var_start_pos":"20","var_end_pos":"24","var_width":"5","var_rec_seg_no":"1","labl":"Establishment weight","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"Establishment weight","var_val_range":[{"units":"REAL","min":"1","max":"118.272727272727"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Establishment\nAn enterprise or part of an enterprise in which one group of goods and services is produced (with the possibility of having secondary activities).","var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V35","name":"activity","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"25","var_end_pos":"25","var_width":"1","var_rec_seg_no":"1","labl":"Economic activity","var_imputation":"Field operations started on 20\/04\/2008 and lasted until 03\/08\/2008, the reference period during the data collection process was the last week of the fieldworker existence in the establishment.","var_security":"Several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders underwent intensive training and were provided with fieldwork manuals to consult when facing any problem.\n\nThe data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.\n\nThese errors are due to non-response cases as well as the implementation of surveys. In this survey, these errors emerged because of (a) the special situation of the questionnaire itself which depends on type of estimation; (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator, etc). \n\nIt is important to mention that 5% from the sample of this survey was re-interviewed, and the results of this re-interview were reported by the supervisors. The re-interview shows the variance in estimation by interviewers for quantities of water consumed and solid waste produced, when the interviewer who answers for the main survey questionnaire is different from the one who answers the re-interview questionnaire. \n\nNone response rate = Sum of none response cases x 100%\n Net sample\n = 567 x 100% = 16.4%\n 3,458\n\nResponse rate = 100% - none response rate\n = 100% - 16.4% = 83.6% \n\nThe none response cases were treated using adjustment groups (strata) and the following equation shows this \n\n\n\nWhere\n\n Total weights in g group\n Total weights over coverage\n Total weights responding in the survey\n\nEach unit is given fg value for the interval lies in and finally we get using the following equation \n\n\n\nComparability\nThe data of the environmental economic survey is comparable geographically and against time; the results when comparing the data between different geographical areas and when comparing the data of this survey with the data of previous rounds were typical and there were no significant differences.\n\nData Quality Assurance Procedures\nSeveral measures were made to ensure quality control in the survey, such as the training of the fieldworkers on main skills before the start of data collection, and conducting field visits to field researchers to ensure the integrity of data collection, in addition to conducting a re-interview for 5% of the establishments. Audit of questionnaires was carried out before data entry, and then a program was used that does not allow any mistakes during the process of data entry. Data was examined to ensure that they were free from errors not previously discovered. After the receipt of the raw data file, cleaning and inspection of the anomalous values was made, and also inspection of the consistency between the different questions on the questionnaire.","var_respunit":"Palestinian economic establishments","var_qstn_qstnlit":"Economic activity","var_val_range":[{"units":"REAL","min":"1","max":"9"}],"var_universe":"All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Industrial activities","stats":null,"type":null},{"value":"2","labl":"Constructions","stats":null,"type":null},{"value":"3","labl":"Whole sale, retail & repairs","stats":null,"type":null},{"value":"4","labl":"Hotels & restaurants","stats":null,"type":null},{"value":"5","labl":"Transport, storage & communications","stats":null,"type":null},{"value":"6","labl":"Real estate, renting & business activities","stats":null,"type":null},{"value":"7","labl":"Education","stats":null,"type":null},{"value":"8","labl":"Health & social work","stats":null,"type":null},{"value":"9","labl":"Community, social & personal services","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"}],"variable_groups":[]}