{"doc_desc":{"title":"Household Energy Survey, January 2004","idno":"DDI-PSE-PCBS-HES-2004-Jan-V1.0","producers":[{"name":"Palestinian Central Bureau of Statistics","abbreviation":"(PCBS)","affiliation":"Palestinian National Authority","role":"Collection, processing and dissemination data"}],"prod_date":"2013-06-15","version_statement":{"version":"Version 1.0 (June\/ 2013)"}},"study_desc":{"title_statement":{"idno":"PSE-PCBS-HES-2004-JAN-V1.0","title":"Household Energy Survey, January 2004","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 2004"},"authoring_entity":[{"name":"Palestinian Central Bureau of Statistics","affiliation":"Palestinian National Authority"}],"oth_id":[{"name":"The Core Funding Group","affiliation":"CFG","email":"","role":"Survey Fund  "}],"production_statement":{"copyright":"(c)  All Rights Reserved.  Palestinian Central Bureau of Statistics,  Household Energy Survey: Main Results January 2004).  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 European Commission","abbreviation":"EC","role":"Survey Fund  "},{"name":"The Core Funding Group","abbreviation":"CFG","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":"PCBS implemented the household energy survey 2004.  This survey collected data on household energy indicators (electricity, petroleum fuel) in the household activities (cooking, water heating, lighting, and conditioning).  Data collection took place during the period 22\/02\/2004 - 01\/04\/2004."},"version_statement":{"version":"V1.0:  (public use file)","version_date":"2013-06-15"},"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, Baking, heating, lighting, and water Heating).","time_periods":[{"start":"2004-01-01","end":"2004-01-31","cycle":"4"}],"coll_dates":[{"start":"2004-02-22","end":"2004-04-01","cycle":"4"}],"nation":[{"name":"Palestine","abbreviation":"PSE"}],"geog_coverage":"Palestine.","analysis_unit":"Households","universe":"The target population was all Palestinian households living in the Palestine.","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":"Target Population \nAll Palestinian households living within the Palestinian Territory.\n\nSampling 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 2004 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 (3,444) 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 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":"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 \nprobability where the sample of the survey is two stage stratified cluster sample, so In the first stage, we calculate the weight of \nenumeration areas which  depending on the probability of each enumeration area (a systematic random sample), then In the \nsecond stage we calculate weight of households in each enumeration area, Initial households weights resulted from \nproduct of weight of first stage and weight of second stage, final households weights obtained after adjustment of initial Weights with the households estimates first of 2004 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: All 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 \nentered 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 3,444 families were visited in the Palestinian Territory, There is 2,758  complete questioner. , this percent was about 80%.","sampling_error_estimates":"Sampling 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\n\u00b7\tIn all calculations related to Gasoline, we dealt with the average of all available types of Gasoline.\n\u00b7\tData don't include the region between Jerusalem and Ramallah which was occupied and damaged  by Israel through building Settlements on them.  \n\u00b7\tIn this survey we collect data about consumption of olive cake in household, but because of less of data we didn't publish this data.","data_appraisal":"The data of the survey is comparable geographically and over time by comparing the data between different geographical areas 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, 2004 Household Energy Survey: (January 2004) V1.0 (06-2013).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."}}}}