{"type":"survey","doc_desc":{"title":"Household Energy Survey, July 2009","idno":"DDI_WBG_2009_HES-S3_v01_M","producers":[{"name":"Palestinian Central Bureau of Statistics","abbreviation":"PCBS","affiliation":"PNA","role":""}],"prod_date":"2014-01-22","version_statement":{"version":"Version 1.1 (January 2014)\nAdaptation of DDI-PSE-PCBS-HES- 2009Jul-V1.0"}},"study_desc":{"title_statement":{"idno":"WBG_2009_HES-S3_v01_M","title":"Household Energy Survey 2009","sub_title":"July (Third Quarter)","alt_title":"HES-S3 2009"},"authoring_entity":[{"name":"Palestinian Central Bureau of Statistics","affiliation":"PNA"}],"oth_id":[{"name":"Representative Office of Norway","affiliation":"NOR","email":"","role":"Survey Fund  "},{"name":"Swiss Development and Cooperation Agency","affiliation":"SDC","email":"","role":"Survey Fund  "},{"name":"The Core Funding Group","affiliation":"CFG","email":"","role":"Survey Fund  "}],"production_statement":{"copyright":"\u00a9 December, 2009. All rights reserved. Suggested Citation: Palestinian Central Bureau of Statistics, 2009. Household Energy Survey: Main Results","funding_agencies":[{"name":"Palestinian National Authority","abbreviation":"PNA","role":"Survey Fund  "},{"name":"Representative Office of Norway","abbreviation":"NOR","role":"Survey Fund  "},{"name":"Swiss Development and Cooperation Agency","abbreviation":"SDC","role":"Survey Fund  "},{"name":"The Core Funding Group","abbreviation":"CFG","role":"Survey Fund  "}]},"distribution_statement":{"contact":[{"name":"Users Services Division","affiliation":"Palestinian Central Bureau of Statistics (PCBS) ","email":"diwan@pcbs.gov.ps","uri":"www.pcbs.gov.ps"},{"name":"World Bank Microdata Library","affiliation":"World Bank","email":"","uri":""}]},"series_statement":{"series_name":"Other Household Survey [hh\/oth]","series_info":"The energy statistics program has implemented fifteen rounds of the Household Energy Survey during 1999-2009. Because of the importance of the household sector and due to its large contribution to energy consumption in the Palestinian Territory, PCBS decided to conduct a special Household Energy Survey to cover energy indicators in the household sector. To achieve this, a questionnaire was attached to the Labor Force Survey."},"version_statement":{"version":"V1.0:  (public use file)","version_date":"2011-12-12"},"study_info":{"keywords":[{"keyword":"Electricity","uri":"","vocab":"Glossary of Statistical Terms  "},{"keyword":"Fuel","uri":"","vocab":"Glossary of Statistical Terms  "}],"topics":[{"topic":"Natural resources and energy [9.3]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"}],"abstract":"The energy statistics program has implemented fifteen rounds of the Household Energy Survey during 1999-2009. Because of the importance of the household sector and due to its large contribution to energy consumption in the Palestinian Territory, PCBS decided to conduct a special Household Energy Survey to cover energy indicators in the household sector. To achieve this, a questionnaire was attached to the Labor Force Survey.This survey aimed to provide data on energy consumption in the household sector and to provide data on energy consumption behavior  and patterns in the society by type of energy.The survey presents data on energy indicators pertaining to households in the Palestinian Territory. This includes statistical data on electricity and other fuel consumption by  households covering type of fuel for different activities (cooking, baking, conditioning, lighting, and water heating).","time_periods":[{"start":"2009-07-01","end":"2009-07-31","cycle":"54"}],"coll_dates":[{"start":"2009-08-23","end":"2009-10-01","cycle":"54"}],"nation":[{"name":"West Bank and Gaza","abbreviation":"WBG"}],"geog_coverage":"West Bank and Gaza","analysis_unit":"Households","universe":"The target population was all Palestinian households living in the Palestinian Territory.","data_kind":"Sample survey data [ssd]","notes":"The survey presents data on energy indicators pertaining to households in the Palestinian Territory. This includes statistical data on electricity and other fuel consumption by  households covering type of fuel for different activities (cooking, baking, conditioning, lighting, and water heating).","study_scope":"The survey presents data on energy indicators pertaining to households in the Palestinian Territory. This includes statistical data on electricity and other fuel consumption by  households covering type of fuel for different activities (cooking, baking, conditioning, lighting, and water heating)."},"method":{"data_collection":{"data_collectors":[{"name":"Palestinian Central Bureau of Statistics","abbreviation":"PCBS","affiliation":"PNA"}],"sampling_procedure":"Sample Frame\nThe sample is a two-stage stratified cluster random sample.\n \nTarget Population \nThe target population was all Palestinian households living within the Palestinian Territory.\n\nSampling Frame\nThe sampling frame is a master sample from the overall sample that were updated in 2003 for the households that were visited a third or fourth time, while the households to be visited for the first and second time were chosen from the general frame of Population, Housing and Establishment Census 2007.  It consists of a list of enumeration areas used as PSU's in the first stage of selection, and the household frame was used in the enumerator areas to choose households in the second level. The frame of the households has been updated in the enumerator areas for the new general sample at the end of year 2003.\n\nSampling Design\nThe sample of this survey is a sub-sample of the Labour Force Survey (LFS) sample, which is conducted every 13 weeks. The sample of LFS is distributed over 13 weeks. The sample of the Household Energy Survey occupies six weeks of the third quarter of 2009 of the LFS.\n \nStratification:\nIn designing the sample of the LFS, three levels of stratification were made:\nStratification by number of households.\nStratification by place of residence which comprises:\n      (a) Urban           (b) Rural        (c) Refugee camps\nStratification by locality size.\n\nSample Unit:\nIn the first stage, the sampling units are the enumerator areas (clusters) in the master sample. In the second stage, the sampling units are households.\n\nAnalysis Unit:\nAnalysis units are composed of households.\n\nSample Size:\nThe sample size is of (3,234) Palestinian households in the West Bank and Gaza Strip, where this sample has been distributed according to the locality in urban areas, in rural areas and in refugee camps.","coll_mode":"Face-to-face [f2f]","research_instrument":"The design of the questionnaire for the Household Energy Survey was based on the experiences of similar countries as well as on international standards and recommendations for the most important indicators, taking into account the special situation of the Palestinian Territory.","coll_situation":"Fieldworkers were trained on the main skills relevant to the survey before the start of data collection.  Instructions for filling the questionnaire were made available for the interviewers. The training provided fieldworkers with aims and definitions of the different indicators of the survey.","act_min":"Fieldworkers were distributed to all governorates proportional to the sample size of each governorate.  The fieldwork team consisted of 24 members, including one fieldwork coordinator, 4 supervisors, 4 editors and 15 interviewers.Several measures had been taken to ensure the efficiency of quality controls in the survey, such as: the training of fieldworkers on the main skills before the start of data collection, conducting field visits to fieldworkers to ensure the integrity of data collection, editing of questionnaires before data entry, using data entry application that does not allow any mistakes during the process of data entry, and then examining the data. This was done to ensure data is error free ; while cleaning and inspection of the anomalous values have been made to ensure harmony between the different questions on the questionnaire.","weight":"The weight of statistical units (sampling unit) in the sample is defined as the mathematical inverse of the selection probability where the sample of the survey is two stage stratified cluster sample, so in the first stage, we calculate the weight of enumeration areas which  depending on the probability of each enumeration area \n(a systematic random sample), then in the second stage we calculate weight of households in each enumeration area, initial households weights resulted from product of weight of first stage and weight of second stage, final households weights obtained after adjustment of initial weights with the households estimates middle of 2009 on the level of design strata (governorate, locality type).","cleaning_operations":"The data processing stage consisted of the following operations:\nEditing and coding before data entry: \nAll questionnaires were edited and coded in the   office using the same instructions adopted for editing in the field.\n \nData entry: At this stage, data was entered into the computer using a data entry template developed in Access. The data entry program was prepared to satisfy a number of requirements such as:\n\u00b7 To prevent the duplication of the questionnaires during data entry.\n\u00b7 To apply integrity  and consistency checks of entered data.\n\u00b7 To handle errors in user friendly manner.\n\u00b7 The ability  to transfer captured data to another format for data analysis using statistical analysis software such as SPSS."},"analysis_info":{"response_rate":"During fieldwork 3,234 Households were visited in the Palestinian Territory, the end results for the interview become as following:\n(2,846)\tComplete questionnaire\t\n(43)\tTraveling households\t\n(19)\tHousing unit not existed \t\n(92)\tCases no body in the house\t\n(45)\tRefused cases\t\n(130)\tHousing unit abandoned\t\n(32)\tHousehold  can't give data \t\n(27)\tOther cases\t\nThe percent of completed questionnaire were 88% of the total questionnaires","sampling_error_estimates":"It includes many aspects of the survey, mainly statistical errors due to the sample, and non statistical errors referring to the workers and survey tools. It includes also the response rates in this survey and their effect on the assumptions.  This section includes:\n\n1.  Sampling Errors\nThese types of errors evolved as a result of studying a part of the society and not all of it. Because this survey is a sample, the data of this survey will be affected by sampling errors due to using a sample and not the whole frame of the society. Differences appear compared with the actual values that could be obtained through a census. For this survey, variance calculations were made for average household consumption and total consumption for the different types of energy in the Palestinian Territory.\n\n2.  Non Sampling Errors\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 a type of estimation, (b) diversity of sources (e.g., the interviewers, respondents, editors, coders, data entry operator, etc).\n\nThe sources of these errors can be summarized as: \nSome of the households were not in their houses and the interviewers could not meet them.\nSome of the households did not give attention to the questionnaire.  \nSome errors occurred due to the way the questions were asked by interviewers.\nMisunderstanding of the questions by the respondents.\nAnswering the questions related to consumption by making estimations.","data_appraisal":"The data of the Household Energy Survey is comparable geographically and over time by comparing the data between different geographical areas with the data of previous surveys and census 2007."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"General Statistics Law \nNo. (5) for Year 2000\nArticle (17)\n1. All individual information and data submitted to the Bureau for statistical purposes shall be treated as confidential and shall not be divulged, in whole or in part, to any individual or to a public or private body, or used for any purpose other than for preparing statistical tables. \n2. The Bureau shall endeavor to issue official statistical publications in aggregate tables, which do not disclose individual data, in conformity with the confidentiality of statistical data.","required":"yes","form_no":"","uri":""}],"contact":[{"name":"Palestinian Central Bureau of Statistics","affiliation":"PNA","email":"diwan@pcbs.gov.ps","uri":"www.pcbs.gov.ps"}],"cit_req":"Palestinian Central Bureau of Statistics, 2009. Household Energy Survey: (July 2009) V1.0 (12-2011).Ramallah - Palestine.","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":"ENERGY July 2009","description":"The file contains data related to:\n\n- Availability of Electricity Status and the Main Electricity Source in Housing Unit\n- Type of electricity meter used\n- Number of hours of electricity service\n- Solar heater usage status\n- Conditioning facilities used\n- Main cooking facility used\n- Main fuel used for baking\n- Main fuel used for water heating\n- Main fuel used for conditioning\n- Households that used energy in the Palestinian Territory, and energy yype\n- Average household consumption of energy from the households that used energy in the Palestinian Territory\n- We are using statistical analysis software SPSS.","case_count":"0","var_count":"53","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null}],"variables":[{"vid":"V1","name":"IDSAM","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"1","var_end_pos":"10","var_width":"10","var_rec_seg_no":"1","labl":"Sample number","var_qstn_qstnlit":"Sample number","var_val_range":[{"units":"REAL","min":"1470947","max":"1625879"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V2","name":"Region","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":"Region","var_qstn_qstnlit":"Region","var_val_range":[{"units":"REAL","min":"1","max":"4"}],"var_sumstat":[{"value":"0","type":"vald"},{"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":"V3","name":"ENR01","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"12","var_end_pos":"12","var_width":"1","var_rec_seg_no":"1","labl":"Main Source of Electricity in the House","var_respunit":"One of the household members","var_qstn_preqtxt":"What is the main electricity source?","var_qstn_qstnlit":"What is the main electricity source in the house?","var_qstn_postqtxt":"If the answer is 2 or 3, Move to Question \nENR031","var_val_range":[{"units":"REAL","min":"1","max":"3"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"public network","stats":null,"type":null},{"value":"2","labl":"special generation","stats":null,"type":null},{"value":"3","labl":"\u0644\u0627 \u064a\u0648\u062c\u062f","stats":null,"type":null}],"var_concept":[{"name":"Electric Energy Work done to move an electric charge in a conductor. It is measured in kilowatt-hour. Electric Energy = Power (KW) * Time (Hours).","vocab":null,"uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V4","name":"ENR013","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"13","var_end_pos":"13","var_width":"1","var_rec_seg_no":"1","labl":"Type of Electricity Meter Used","var_respunit":"One of the household members","var_qstn_preqtxt":"What is the main electricity source?","var_qstn_qstnlit":"What is the type of Electricity Meter Used?","var_val_range":[{"units":"REAL","min":"1","max":"2"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Normal Meter","stats":null,"type":null},{"value":"2","labl":"Prepayment Meter","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V5","name":"ENR21","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"14","var_end_pos":"16","var_width":"3","var_rec_seg_no":"1","labl":"Consumption Quantity (KW.h)","var_respunit":"One of the household members","var_qstn_preqtxt":"According to final available data about data for electricity consumption in the house during July 2009, complete the following data (without previous debt):","var_qstn_qstnlit":"How much the quantity of consumption(KWh)?","var_val_range":[{"units":"REAL","min":"1","max":"829"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_concept":[{"name":"Household Consumption  It refers to consumption by households in the different activities within households (Conditioning, Cooking, Lighting, Water heating and other activities).","vocab":null,"uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V6","name":"ENR22","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"17","var_end_pos":"20","var_width":"4","var_rec_seg_no":"1","labl":"Electricity Consumption Cost (NIS)","var_respunit":"One of the household members","var_qstn_preqtxt":"According to final available data about data for electricity consumption in the house during July 2009, complete the following data (without previous debt):","var_qstn_qstnlit":"How much the Electricity Consumption Cost (NIS)?","var_val_range":[{"units":"REAL","min":"0","max":"0.85"}],"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":"V7","name":"ENR23","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"21","var_end_pos":"23","var_width":"3","var_rec_seg_no":"1","labl":"Price of KWh","var_respunit":"One of the household members","var_qstn_preqtxt":"According to final available data about data for electricity consumption in the house during July 2009, complete the following data (without previous debt):","var_qstn_qstnlit":"How much the price of KWh?","var_val_range":[{"units":"REAL","min":"1","max":"500"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_concept":[{"name":"Kilo Watt-Hour  Energy unit, a 1 KWh = 1000 W * 3600 Second  = 3.6 * 10 6 Watt-second Other prefixes are used for referring to this unit, e.g. Mega which equals 10 6, and Giga, which equals 10 9.","vocab":null,"uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V8","name":"ENR24","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"24","var_end_pos":"26","var_width":"3","var_rec_seg_no":"1","labl":"gross Electricity and rate cost (without previous debt)  ( NIS )","var_respunit":"One of the household members","var_qstn_preqtxt":"According to final available data about data for electricity consumption in the house during July 2009, complete the following data (without previous debt):","var_qstn_qstnlit":"How much the qross Electricity and rate cost (NIS)?","var_val_range":[{"units":"REAL","min":"1","max":"980"}],"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":"V9","name":"ENR25_1","file_id":"F1","var_intrvl":"discrete","var_start_pos":"27","var_end_pos":"36","var_width":"10","var_rec_seg_no":"1","labl":"from (Start of Electricity Consumption)","var_respunit":"One of the household members","var_qstn_preqtxt":"According to final available data about data for electricity consumption in the house during July 2009, complete the following data (without previous debt):","var_qstn_qstnlit":"What are the start period of Electricity Consumption?","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"}],"var_format":"character","var_format_name":"Nesstar.date","var_format_schema":"other","var_format_category":"date","fid":"F1"},{"vid":"V10","name":"ENR25_2","file_id":"F1","var_intrvl":"discrete","var_start_pos":"37","var_end_pos":"46","var_width":"10","var_rec_seg_no":"1","labl":"to (End of Electricity Consumption)","var_respunit":"One of the household members","var_qstn_preqtxt":"According to final available data about data for electricity consumption in the house during July 2009, complete the following data (without previous debt):","var_qstn_qstnlit":"What are the end period of Electricity Consumption?","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"}],"var_format":"character","var_format_name":"Nesstar.date","var_format_schema":"other","var_format_category":"date","fid":"F1"},{"vid":"V11","name":"ENR26","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"47","var_end_pos":"47","var_width":"1","var_rec_seg_no":"1","labl":"Number of Hours of Electricity Service during April 2009","var_respunit":"One of the household members","var_qstn_preqtxt":"According to final available data about data for electricity consumption in the house during July 2009, complete the following data (without previous debt):","var_qstn_qstnlit":"What are the number of Hours of Electricity Service during July 2009?","var_val_range":[{"units":"REAL","min":"1","max":"4"}],"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 8 Hours","stats":null,"type":null},{"value":"2","labl":"8-16 Hours","stats":null,"type":null},{"value":"3","labl":"17-23 Hours","stats":null,"type":null},{"value":"4","labl":"24 Hours","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V12","name":"ENR31","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"48","var_end_pos":"48","var_width":"1","var_rec_seg_no":"1","labl":"Solar Heater Using in the House","var_respunit":"One of the household members","var_qstn_preqtxt":"Did you use solar heater in your house?","var_qstn_qstnlit":"Did you use solar heater in your house?","var_qstn_postqtxt":"If the answer is 2, Move to Question \nENR04","var_val_range":[{"units":"REAL","min":"1","max":"2"}],"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}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V13","name":"ENR32","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"49","var_end_pos":"49","var_width":"1","var_rec_seg_no":"1","labl":"Solar Heater Panels Number","var_respunit":"One of the household members","var_qstn_preqtxt":"Did you use solar heater in your house?","var_qstn_qstnlit":"What are the number of solar collector unit used in the solar heater of the house?","var_val_range":[{"units":"REAL","min":"1","max":"6"}],"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":"V14","name":"ENR04A_1","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"50","var_end_pos":"51","var_width":"2","var_rec_seg_no":"1","labl":"Main Fuel (cooking)","var_respunit":"One of the household members","var_qstn_preqtxt":"What are the main and secondary fuel, and the main means used in the different activities in the house during July 2009?","var_qstn_qstnlit":"What are the main fuel used in the different \nactivities in the house during July 2009?\n(cooking)","var_val_range":[{"units":"REAL","min":"0","max":"10"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"0","labl":"Not existed","stats":null,"type":null},{"value":"1","labl":"Electricity","stats":null,"type":null},{"value":"2","labl":"Diesel","stats":null,"type":null},{"value":"3","labl":"Gasoline","stats":null,"type":null},{"value":"4","labl":"Gas","stats":null,"type":null},{"value":"5","labl":"Kerosene","stats":null,"type":null},{"value":"6","labl":"Coal","stats":null,"type":null},{"value":"7","labl":"Wood","stats":null,"type":null},{"value":"8","labl":"Solar Energy","stats":null,"type":null},{"value":"9","labl":"Others","stats":null,"type":null},{"value":"10","labl":"\u062c\u0641\u062a","stats":null,"type":null}],"var_concept":[{"name":"Fuel:  It refers to any matter used for producing energy via thermal, chemical or nuclear interaction.","vocab":null,"uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V15","name":"ENR04A_2","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"52","var_end_pos":"53","var_width":"2","var_rec_seg_no":"1","labl":"Main 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