{"type":"survey","doc_desc":{"title":"Household Energy Survey, July 2013","idno":"DDI_WBG_2013_HES-JUL_v01_M","producers":[{"name":"Palestinian Central Bureau of Statistics","abbreviation":"PCBS","affiliation":"State of Palestine","role":"Collection, processing and dissemination of data"}],"prod_date":"2021-08-10","version_statement":{"version":"Version 01 (August 2021). This version is identical to PSE-PCBS-HES-JUL-2013-V1.0, except for the following fields that were modified by the World Bank: study ID and DDI ID."}},"study_desc":{"title_statement":{"idno":"WBG_2013_HES-JUL_v01_M","title":"Household Energy Survey 2013","sub_title":"July","alt_title":"HES-JUL 2013"},"authoring_entity":[{"name":"Palestinian Central Bureau of Statistics","affiliation":"State of Palestine"}],"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 July 2013). Ramallah - Palestine.","funding_agencies":[{"name":"State of Palestine","abbreviation":" ","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 Union","abbreviation":"EU","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":"The Housheold Energy Survey 2013 has been implemented by the Palestinian Central Bureau of Statistics. This survey collects data on household energy indicators (electricity, petroleum fuel) in the household activities (cooking, water heating, lighting, and conditioning). Data collection started on the August 21st 2013 until October 1st 2013."},"version_statement":{"version":"v1.0: public use file"},"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 and to provide data on energy consumption behavior in the society by type of energy.\n\nThe survey presents data on various energy households indicators in the Palestinian Territory, and presents statistical data on electricity and other fuel consumption for the household, using type of fuel by different activities (cooking, baking, conditioning, lighting, and water Heating).","coll_dates":[{"start":"2013-08-21","end":"2013-10-01","cycle":"18"}],"nation":[{"name":"West Bank and Gaza","abbreviation":"WBG"}],"analysis_unit":"Households","universe":"The target population was all Palestinian households living in West Bank and Gaza.","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, heating, lighting, and Water Heating)."},"method":{"data_collection":{"data_collectors":[{"name":"Palestinian Central Bureau of Statistics","abbreviation":"PCBS","affiliation":"State of Palestine"}],"sampling_procedure":"Sample Frame\nThe sampling frame consists of all the enumeration areas enumerated in 2007: each enumeration area consists of buildings and housing units with an average of around 124 households. These enumeration areas are used as primary sampling units (PSUs) in the first stage of the sampling selection. \n\nSample size\nThe estimated sample size is 3,184 households.\n\nSampling Design:\nThe sample of this survey is a part of the main sample of the Labor Force Survey (LFS), which is implemented quarterly (distributed over 13 weeks) by PCBS since 1995. This survey was attached to the LFS in the third quarter of 2013 and the sample comprised six weeks, from the eighth week to the thirteen week of the third round of the Labor Force Survey of 2013.\nThe sample is two-stage stratified cluster sample:\n\nFirst stage: selection of a stratified systematic random sample of 206 enumeration areas for the semi-round.\n\nSecond stage: selection of a random area sample of an average of 16 households from each enumeration area selected in the first stage.\n\nSample strata\nThe population was divided by:\n1. Governorate (16 governorates)\n2. Type of locality (urban, rural, 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 probability where the sample of the survey is a two-stage stratified cluster sample. In the first stage, we calculate the weight of enumeration areas based on the probability of each enumeration area (a systematic random sample). In the second stage, we calculate the weight of households in each enumeration area. The initial weight of households is the result of the product of the weight of the first stage and the weight of the second stage. The final weight of households was obtained after adjustment of the initial weights with the household estimates of mid-2013 in terms of design strata (governorate, locality type).","cleaning_operations":"The data processing stage consisted of the following operations:\n- Editing and coding prior to data entry: all questionnaires were edited and coded in the office using the same instructions adopted for editing in the field.\n- Data entry: \nThe household energy survey questionnaire was programmed onto handheld devices and data were entered directly using these devices in the West Bank. With regard to Jerusalem J1 and the Gaza Strip, data were entered into the computer in the offices in Ramallah and Gaza. At this stage, data were entered into the computer using a data entry template developed in Access. The data entry program was prepared to satisfy a number of requirements:\n\u00b7\tTo prevent the duplication of questionnaires during data entry.\n\u00b7\tTo apply checks on the integrity and consistency of entered data.\n\u00b7\tTo handle errors in a user friendly manner.\n\u00b7\tThe ability to transfer captured data to another format for data analysis using statistical analysis software such as SPSS."},"analysis_info":{"response_rate":"During fieldwork 3,184 families were visited in the Palestinian Territory. There are 2,692 complete questionnaires, which in percentage was about 85%.","sampling_error_estimates":"Data of this survey may be affected by sampling errors due to use of a sample and not a complete enumeration. Therefore, certain differences are anticipated in comparison with the real values obtained through censuses. The variance was calculated for the most important indicators: the variance table is attached with the final report. There is no problem in the dissemination of results at national and regional level (North, Middle, South of West Bank, Gaza Strip) and by locality. However, the indicator of averages of household consumption for certain fuels by region show a high variance. \n\nNon Sampling Errors\nThe implementation of the survey encountered non-response where the household was not present at home during the field work visit and where the housing unit was vacant: these made up a high percentage of the non-response cases. The total non-response rate was 10.8%, which is very low when compared to the household surveys conducted by PCBS. The refusal rate was 3.3%, which is very low compared to the household surveys conducted by PCBS and may be attributed to the short and clear questionnaire.\n\nThe survey sample consisted of around 3,184 households, of which 2,692 households completed the interview: 1,757 households from the West Bank and 935 households in the Gaza Strip. Weights were modified to account for the non-response rate. The response rate in the West Bank was 86.8 % while in the Gaza Strip it was 94.3%.\n\nNon-Response Cases\n\nNo. of cases\tnon-response cases\t\n2,692\tHousehold completed\t\n35\tHousehold traveling\t\n17\tUnit does not exist\t\n111\tNo one at home\t\n102\tRefused to cooperate\t\n152\tVacant housing unit\t\n5\tNo available information\t\n70\tOther\t\n3,184\tTotal sample size\t\n\n\nResponse and non-response formulas:\n\n\nPercentage of over coverage errors = Total cases of over coverage x 100%\n Number of cases in original sample \n= 5.3%\n\nNon response rate = Total cases of non response x 100%\n Net Sample size\n = 10.8%\n\nNet sample = Original sample - cases of over coverage\nResponse rate = 100% - non-response rate\n = 89.2%\n\nTreatment of non-response cases using weight adjustment \n\nWhere\n: the primary weight before adjustment for the household i\ng: adjustment group by ( governorate, locality type ).\nfg: weight adjustment factor for the group g.\n : Total weights in group g \n cases : Total weights of over coverage\n : Total weights of response cases \n\nWe calculate fg for each group ,and final we obtain the final household weight () by using the following formula:\n\n\n\nComparability\nThe data of the survey are comparable geographically and over time by comparing data from different geographical areas to data of previous surveys and the 2007 census.\n\nData quality assurance procedures\nSeveral procedures were undertaken to ensure appropriate quality control in the survey. Field workers were trained on the main skills prior to data collection, field visits were conducted to field workers to ensure the integrity of data collection, editing of questionnaires took place prior to data entry and a data entry application was used that prevents errors during the data entry process, then the data were reviewed. This was done to ensure that data were error free, while cleaning and inspection of anomalous values were carried out to ensure harmony between the different questions on the questionnaire.\n\n\n\nTechnical notes\nThe following are important technical notes on the indicators presented in the results of the survey:\n\u00b7\tSome households were not present in their houses and could not be seen by interviewers.\n\u00b7\tSome households were not accurate in answering the questions in the questionnaire. \n\u00b7\tSome errors occurred due to the way the questions were asked by interviewers.\n\u00b7\tMisunderstanding of the questions by the respondents.\n\u00b7\tAnswering questions related to consumption based on estimations.\n\u00b7\tIn all calculations related to gasoline, the average of all available types of gasoline was used.\n\u00b7\tIn this survey, data were collected about the consumption of olive cake and coal in households, but due to lack of relevant data and fairly high variance, the data were grouped with others in the statistical tables.\n\u00b7\tThe increase in consumption of electricity and the decrease in the consumption of the other types of fuel in the Gaza Strip reflected the Israeli siege imposed on the territory.","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":"State of Palestine","email":"diwan@pcbs.gov.ps","uri":"www.pcbs.gov.ps"}],"cit_req":"Palestinian Central Bureau of Statistics, 2013 Household Energy Survey: (July 2013) V1.0 (01-2014).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."}}},"schematype":"survey","data_files":[{"file_id":"F1","file_name":"Data of Survey July 2013","description":"Main Electricity Source\nSolar Heater Usage\nConditioning Facilities Usage \nCooking Facilities Usage \nMain Fuel Used for Cooking\nSecondary Fuel Used for Cooking\nMain Fuel Used for Water Heating \nSecondary Fuel Used for Water Heating \nMain Fuel Used for Conditioning \nPSecondary Fuel Used for Conditioning \nMain Fuel Used for Lighting \nSecondary Fuel Used for Lighting\nMain Fuel Used for Baking \nSecondary Fuel Used for Baking\nHousehold Consumption of Electricity, Petroleum Products, Charcoal, Olive cake and Wood \nConsumption Per Capita of Electricity, Petroleum Products, Charcoal, Olive cake and Wood \nHouseholds that Use the Energy Types","case_count":"0","var_count":"55","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null}],"variables":[{"file_id":"F1","vid":"V1","name":"IDSAM","var_intrvl":"contin","var_dcml":"0","var_wgt":"V2","var_is_wgt":null,"loc_start_pos":"1","loc_end_pos":"7","loc_width":"7","loc_rec_seg_no":"1","labl":"Sample number","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"Sample number","var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":"All Palestinian households living within the Palestinian 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