{"doc_desc":{"title":"Household Energy Survey, January 2005","idno":"DDI-PSE-PCBS-HES-2005-JAN-VOL1.0","producers":[{"name":"Palestinian Central Bureau of Statistics","abbreviation":"(PCBS)","affiliation":"Palestinian National Authority","role":"Collection, processing and dissemination data"}],"prod_date":"2012-03-12","version_statement":{"version":"v1.0"}},"study_desc":{"title_statement":{"idno":"PSE-PCBS-HES-2005-JAN-VOL1.0","title":"Household Energy Survey, January 2005","alt_title":"HES","translated_title":"\u0645\u0633\u062d \u0627\u0644\u0637\u0627\u0642\u0629 \u0627\u0644\u0645\u0646\u0632\u0644\u064a\u060c \u0643\u0627\u0646\u0648\u0646 \u062b\u0627\u0646\u064a 2005"},"authoring_entity":[{"name":"Palestinian Central Bureau of Statistics","affiliation":"Palestinian National Authority"}],"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  "},{"name":"UK Department for International Development","affiliation":"DFID","email":"","role":"Survey Fund  "},{"name":"The European Commission","affiliation":"EC","email":"","role":"Survey Fund  "},{"name":"The World Bank","affiliation":"WB","email":"","role":"Survey Fund  "}],"production_statement":{"copyright":"(c)  All Rights Reserved.  Palestinian Central Bureau of Statistics, 2005. Household Energy Survey: Main Results (January 2005).  Ramallah - Palestine.","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  "},{"name":"UK Department for International Development","abbreviation":"DFID","role":"Survey Fund  "},{"name":"The European Commission","abbreviation":"EC","role":"Survey Fund  "},{"name":"The World Bank","abbreviation":"WB","role":"Survey Fund  "}]},"distribution_statement":{"contact":[{"name":"division of user services","affiliation":"Palestinian Central Bureau of Statistics","email":"diwan@pcbs.gov.ps","uri":"www.pcbs.gov.ps"}]},"series_statement":{"series_name":"Other Household Survey [hh\/oth]","series_info":"The energy statistics program has implemented \nmany rounds of the \nHousehold Energy Survey during 1999-2005. \nBecause of the importance of the \nhousehold sector and due to its large contribution \nto energy consumption in the \nPalestinian Territory, PCBS decided to conduct a \nspecial Household Energy \nSurvey to cover energy indicators in the \nhousehold sector. To achieve this, a \nquestionnaire was attached to the Labor Force \nSurvey."},"version_statement":{"version":"V1.0:  (public use file)","version_date":"2012-03-12"},"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":"Because of the importance of the household sector and due to it's 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.\n\nThis survey aimed to provide data on energy consumption in the household sector and to provide data on energy consumption behavior in the society by type of energy.\n\nThis report presents data on various energy households indicators in the Palestinian Territory, and presents statistical data on electricity and other fuel consumption for the household sector, using type of fuel by different activities (cooking, heating, lighting, and water heating).","time_periods":[{"start":"2005-01-01","end":"2005-01-31","cycle":"36"}],"coll_dates":[{"start":"2005-02-19","end":"2005-03-31","cycle":"36"}],"nation":[{"name":"Palestine","abbreviation":"PSE"}],"geog_coverage":"The Palestinian Territory.","analysis_unit":"Households","universe":"The target population was all Palestinian households living in the \nPalestinian Territory.","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":"Palestinian National Authority "}],"sampling_procedure":"Sampling Frame\nSampling frame is a master sample from the Population, Housing and Establishment Census 1997.  It consists of a list of enumeration areas, which were used as PSU's in the first stage of selection.\n\nSampling Design\nThe sample of this survey is a sub-sample of Labour Force Survey (LFS) sample, that is conducted every 13 weeks. The total sample of LFS is about 7,559 households distributed over 13 weeks. The sample of the Household Energy Survey occupies six weeks of the first quarter 2005 of LFS.\n \nStratification:\nIn designing the sample of LFS, four levels of stratification were made:\n\nStratification by governorate.\nStratification by place of residence which comprises:\n      (a) Urban           (b) Rural        (c) Refugee camps\nStratification by locality size.\nStratification by classifying localities, excluding governorate capitals, into three strata based on the ownership of households within these localities of durable goods.\n\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 (3,477) Palestinian households in 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 \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":"The sample of this survey is a sub-sample of Labour Force Survey (LFS) sample, that is conducted every 13 weeks. The total sample of LFS is about 7,559 households distributed over 13 weeks. The sample of the Household Energy Survey occupies six weeks of the first quarter 2005 of LFS.\n\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 \ndefined as the mathematical inverse of the selection probability \nwhere the sample of the survey is two stage stratified cluster \nsample, so In the first stage,  we calculate the weight of \nenumeration areas which  depending on  the probability of each \nenumeration area(a systematic random sample), then In the \nsecond stage we calculate weight of households  in each \nenumeration area, Initial households weights resulted from \nproduct of weight of first stage and weight of second stage ,final \nhouseholds weights obtained after adjustment of initial weights \nwith the households estimates mid 2005 on the level of design \nstrata (governorate, locality type).","cleaning_operations":"he data processing stage consisted of the following operations:\nEditing and coding before data entry: All questionnaires were \nedited and coded in \nthe  office using the same instructions adopted for editing in the \nfield.\n \nData entry: At this stage, data was \nentered into the computer using a data entry template \ndeveloped in Access. The data entry program was prepared to \nsatisfy a number of requirements such as:\n\u00b7 To prevent the duplication of the questionnaires during data \nentry.\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 \nanalysis  using statistical analysis software such as SPSS."},"analysis_info":{"response_rate":"During fieldwork 3,477 families were visited in the Palestinian Territory, the end results for the interview become as following:\n(3022)      complete questioner\n(34)          traveling family\n(69)          housing unit not existed \n(67)        cases no body in the house\n(16)        objection cases\n(185)        housing unit abandoned\n(28)          family can't give data \n(56)          other cases\nDuring fieldwork 3,477 families were visited in the Palestinian Territory, There is 3,022  complete questioner, this percent was about 87%.","sampling_error_estimates":"It includes many aspects of the survey, mainly statistical errors \ndue to the sample, and non statistical errors referring to the \nworkers and tools of the survey. It includes also the response \nrates in the survey and their effect on the assumptions.  This \nsection includes:\n\nSampling Errors:\nThese types of errors evolved as a result of studying a part of the society and not all of it. 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\nNon 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 type of estimation (b) diversity of sources (e.g. the interviewers, respondent, editors, coders, data entry operator \u2026etc). \n\nThe sources of these errors can be summarized in: \nSome of the households were not in their houses and the interviewers couldn't meet them.\nSome of the households didn't show attention toward the questionnaire.  \nSome errors occurred due to the way the questions were asked by interviewers.\nMisunderstood of the questions by the respondents.\nAnswering the questions related to consumption by making estimations.\n\nSpecial Technical Notes:\nThis part presents the important technical notes on the indicators presented in the main results of the survey:\n\nIn all calculations related to Gasoline, we dealt with the average of all available types of Gasoline.","data_appraisal":"The data of the survey is comparable geographically and over \ntime by comparing the data between different geographical \nareas to data of previous surveys."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"General Statistics Law No. (5) for Year 2000\n\nArticle (17)\n1. All individual information and data submitted to the Bureau for statistical purposes shall be treated as confidential and shall not be divulged, in whole or in part, to any individual or to a public or private body, 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":"Palestinian National Authority","email":"diwan@pcbs.gov.ps","uri":"www.pcbs.gov.ps"}],"cit_req":"Palestinian Central Bureau of Statistics,2005 Household Energy Survey:(January 2005) V1.0 (03-2012 :Ramallah - Palestine.","conditions":"1. pledges  the utilization of \u201cdata\u201d or any copies thereof shall be limited to the purposes agreed upon including not granting any third parties any access to these data. Restrictions applies to any data duplication or transformed setting for purposes other than meeting the requirements of the statistical programs used in data analysis.\n\n2. Utilization of \u201cdata\u201d or any copies thereof is limited to personal computers normally .\n\n3. pledges not to alter the value of any observation in the original \u201cdata\u201d; nevertheless, this does not apply on subjecting data to any processes or procedures aiming to derive new variables. The first party does not bear any professional, administrative or financial responsibility for any losses incurred as a result of changes in the variables values.","disclaimer":"PCBS  provid  data collected for purely statistical purposes, and therefore does not assume any responsibility for legal or professional from any claim or analysis or interpretation or misuse of this data."}}}}