{"doc_desc":{"title":"Household Energy Survey January 2010","idno":"DDI-PSE-PCBS-HES-2010-JAN-V1.0","producers":[{"name":"Palestinian Central Bureau of Statistics","abbreviation":"PCBS","affiliation":"PNA","role":""}],"prod_date":"2011-09-04","version_statement":{"version":"V1.0"}},"study_desc":{"title_statement":{"idno":"PSE-PCBS-HES-2010-JAN-V1.0","title":"Household Energy Survey January 2010","alt_title":"HES","translated_title":"\u0645\u0633\u062d \u0627\u0644\u0637\u0627\u0642\u0629 \u0627\u0644\u0645\u0646\u0632\u0644\u064a \u0643\u0627\u0646\u0648\u0646 \u0627\u0648\u0644 2010"},"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 All rights reserved. Suggested Citation: Palestinian Central Bureau of Statistics, 2010. Household Energy Survey: Main Results","funding_agencies":[{"name":"Palestinian National Authority","abbreviation":"PNA","role":""},{"name":"Representative Office of Norway","abbreviation":"NOR","role":""},{"name":"Swiss Development and Cooperation Agency","abbreviation":"SDC","role":""},{"name":"The Core Funding Group","abbreviation":"CFG","role":""}]},"distribution_statement":{"contact":[{"name":"Division of user services","affiliation":"Palestinian Central Bureau of Statistics","email":"diwan@pcbs.gov.ps","uri":"www.pcbs.gov.ps "}]},"series_statement":{"series_name":"Other Household Health Survey [hh\/hea]","series_info":"The energy statistics program has \nimplemented sixteen rounds of the \nHousehold Energy Survey during \n1999-2010.\nBecause of the importance of the \nhousehold sector and due to its large \ncontribution to energy consumption in the \nPalestinian Territory, PCBS decided to \nconduct a special Household Energy \nSurvey to cover energy indicators in the \nhousehold sector. To achieve this, a \nquestionnaire was attached to the Labor \nForce Survey."},"version_statement":{"version":"V1.0:  (public use file)","version_date":"2011-09-04"},"study_info":{"keywords":[{"keyword":"Electricity","vocab":"Glossary of Statistical Terms","uri":"http:\/\/www.pcbs.gov.ps\/Downloads\/book1721.pdf"},{"keyword":"Fuel","vocab":"Glossary of Statistical Terms","uri":"http:\/\/www.pcbs.gov.ps\/Downloads\/book1721.pdf"}],"topics":[{"topic":"natural resources and energy [9.3]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"}],"abstract":"The energy statistics program has \nimplemented sixteen rounds of the \nHousehold Energy Survey during \n1999-2010.\n \nBecause of the importance of the \nhousehold sector and due to its large \ncontribution to energy consumption in the \nPalestinian Territory, PCBS decided to \nconduct a special Household Energy \nSurvey to cover energy indicators in the \nhousehold sector. To achieve this, a \nquestionnaire was attached to the Labor \nForce Survey.\n \nThis survey aimed to provide data on \nenergy consumption in the household \nsector and to provide data on energy \nconsumption behavior  and patterns in the \nsociety by type of energy.\n \nThe survey presents data on energy \nindicators pertaining to households in the \nPalestinian Territory. This includes \nstatistical data on electricity and other fuel \nconsumption by  households covering \ntype of fuel for different activities \n(cooking, baking, heating, lighting, \nand water heating).","time_periods":[{"start":"2010-01-01","end":"2010-01-31","cycle":""}],"coll_dates":[{"start":"2010-02-21","end":"2010-04-01","cycle":"56"}],"nation":[{"name":"Palestine","abbreviation":"PSE"}],"geog_coverage":"Palestinian territory","analysis_unit":"households","universe":"The target population was all Palestinian \nhouseholds living in the Palestinian \nTerritory.","data_kind":"Sample survey data [ssd]","notes":"The survey presents data on energy \nindicators pertaining to households in the \nPalestinian Territory. This includes \nstatistical data on electricity and other fuel \nconsumption by  households covering \ntype of fuel for different activities \n(cooking, baking, heating, lighting, \nand 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 was updated in 2003 for the households that were visited a third or fourth time in the Labor Force Survey, while the households to be visited for the first and second time were chosen from the Master Sampling frame of the Population, Housing and Establishment Census 2007.  The sampling frame consists of a list of enumeration areas used as PSU's in the first stage of selection, and the households frame was used to choose households in the second level. \n\nSampling Design\nThe sample of this survey is a sub-sample of the Labor Force Survey (LFS) sample, which is conducted periodically since September 1995. The sample of LFS is distributed over 13 weeks. The sample of the Household Energy Survey occupies six weeks of the first quarter of 2010 of the LFS.\n \nSample allocation\nThe sample allocation was according to the number of households in the stratum using three levels which are District, Locality type (urban,rural,refufugee camps), and the locality population size(Number of households within locality). \n\nSample Unit:\nIn the first stage, the sampling units are the enumeration areas (clusters) from the master sample. In the second stage, the sampling units are households.\n\nAnalysis Unit:\nThe unit of analysis is the household.\n\nSample Size:\nThe sample size is comprised of (2,655) Palestinian households in the West Bank and Gaza Strip, where this sample has been distributed according to locality type (urban, rural and refugee camps).","coll_mode":["Face-to-face [f2f]"],"research_instrument":"The design of the questionnaire for the \nHousehold Energy Survey was based on \nthe experiences of similar countries as \nwell as on international standards and \nrecommendations for the most important \nindicators, taking into account the special \nsituation of the Palestinian Territory.","coll_situation":"Fieldworkers were trained on the main \nskills relevant to the survey before the \nstart of data collection.  Instructions for \nfilling the questionnaire were made \navailable for the interviewers. The training \nprovided fieldworkers with aims and \ndefinitions of the different indicators of the \nsurvey.","act_min":"Fieldworkers were distributed to all \ngovernorates proportional to the sample \nsize of each governorate.  The fieldwork \nteam consisted of 24 members, including \none fieldwork coordinator, 4 supervisors, \n4 editors and 15 interviewers.\nSeveral measures had been taken to \nensure the efficiency of quality controls in \nthe survey, such as: the training of \nfieldworkers on the main skills before the \nstart of data collection, conducting field \nvisits to fieldworkers to ensure the \nintegrity of data collection, editing of \nquestionnaires before data entry, using \ndata entry application that does not allow \nany mistakes during the process of data \nentry, and then examining the data. This \nwas done to ensure data is error free ; \nwhile cleaning and inspection of the \nanomalous values have been made to \nensure harmony between the different \nquestions 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 (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 start 2010 on the level of design strata (governorate, locality type).","cleaning_operations":"The data processing stage consisted of \nthe following operations:\nEditing and coding before data entry: All \nquestionnaires were edited and coded in \nthe   office using the same instructions \nadopted for editing in the field.\n \nData entry: At this stage, data was \nentered into the computer using a data \nentry template developed in Access. The \ndata entry program was prepared to \nsatisfy a number of requirements such as:\n\u00b7 To prevent the duplication of the \nquestionnaires during data entry.\n\u00b7 To apply integrity  and consistency \nchecks of entered data.\n\u00b7 To handle errors in user friendly manner.\n\u00b7 The ability  to transfer captured data to \nanother format for data analysis      \n      using statistical analysis software \nsuch as SPSS."},"analysis_info":{"response_rate":"During fieldwork 2,655 households were \nvisited in the Palestinian Territory. 2,363 \nquestionnaire were Completed in the \nPalestinian Territory. Which were 89% of the households were \nvisited","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 the 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\nThe results of wood, charcoal and olive cake suffers from a high variance. This problem should be taken into consideration when dealing with the average household consumption of these types of fuel, keeping in mind that there are no problems in publishing the data for the geographical level (North of the West Bank, Middle of the West Bank, South of the West Bank and Gaza Strip). However, publishing data for the governorate level is not possible due to the high variance, especially for wood, charcoal and olive cake.  \t\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.\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 wood, charcoal and olive cake when the interviewee is different from the one who answered for the main survey questionnaire and the one who answered the re-interview questionnaire.","data_appraisal":"The data of the Household Energy \nSurvey is comparable geographically and \nover time by comparing the data between \ndifferent geographical areas with the data \nof 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@pcbc.gov.ps  ","uri":"www.pcbs.gov.ps  "}],"cit_req":"Palestinian Central Bureau of Statistics, \n2010. Household Energy Survey: \n(January 2010) V1.0 (09-2011).\nRamallah - 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."}}}}