{"type":"survey","doc_desc":{"title":"PAL_PECS_2007_HD_V1.0","idno":"DDI_WBG_2007_PECS_v01_M","producers":[{"name":"Economic Research Forum","abbreviation":"ERF","affiliation":"","role":"Cleaning and Harmonizing raw data received from the Statistical Office"}],"prod_date":"2012-11","version_statement":{"version":"Version 1.0\nDDI Number, Study ID and Country fields  edited by World Bank Data Group (May 2013)"}},"study_desc":{"title_statement":{"idno":"WBG_2007_PECS_v01_M","title":"Expenditure and Consumption Survey, 2007","alt_title":"PECS 2007"},"authoring_entity":[{"name":"Palestinian Central Bureau of Statistics","affiliation":"Palestinian National Authority"}],"oth_id":[{"name":"Palestinian Households","affiliation":"","email":"","role":"responded to the survey instrument"}],"production_statement":{"copyright":"(c) 2012, Economic Research Forum | (c) 2007, Palestinian Central Bureau of Statistics","funding_agencies":[{"name":"The Palestinian National Authority","abbreviation":"PNA","role":"Financial assistance"},{"name":"The Core Funding Group","abbreviation":"CFG","role":"Financial assistance"},{"name":"Swiss Agency for Development and Cooperation","abbreviation":"SDC","role":"Financial assistance"}]},"distribution_statement":{"contact":[{"name":"Economic Research Forum (ERF) - 21 Al-Sad Al-Aaly St., Dokki, Giza, Egypt","affiliation":"","email":"erfdataportal@erf.org.eg","uri":"www.erf.org.eg"}]},"series_statement":{"series_name":"Income\/Expenditure\/Household Survey [hh\/ies]","series_info":"The Palestinian Central Bureau of Statistics (PCBS) conducted a household expenditure and consumption survey for the first time between 1\/10\/1995 and 30\/9\/1996.\nPCBS then conducted a series of surveys on the following dates:\n- A second survey between 1\/1\/1997 and 31\/1\/1997.\n- A third survey between 1\/1\/1998 and 31\/1\/1998.\n- A fourth survey between 15\/3\/2001 and 14\/3\/2002.\n- A fifth survey between 15\/1\/2004 and 14\/1\/2005.\n- A sixth survey between 15\/1\/2005 and 14\/1\/2006.\n- A seventh survey between 15\/1\/2006 and 14\/1\/2007.\n- And an eighth survey between 15\/1\/2007 and 14\/1\/2008.  \n\nThe findings of these surveys constituted a solid database and enabled PCBS to publish detailed statistics on expenditure and consumption."},"version_statement":{"version":"V1.0: A cleaned and a harmonized version of the survey dataset, produced by the Economic Research Forum for dissemination.","version_date":"2012-11","version_notes":"All documentation available for the original survey, whether provided by the Statistical Office or generated by the Economic Research Forum, has been published.  However, as far as the datasets are concerned, the Economic Research Forum produces and releases only the harmonized versions in both SPSS and STATA formats."},"study_info":{"topics":[{"topic":"Poverty","vocab":"ERF","uri":""},{"topic":"Expenditure","vocab":"ERF","uri":""},{"topic":"Income","vocab":"ERF","uri":""},{"topic":"Infrastructure","vocab":"ERF","uri":""},{"topic":"Education","vocab":"ERF","uri":""},{"topic":"Labor","vocab":"ERF","uri":""},{"topic":"Health","vocab":"ERF","uri":""}],"abstract":"The basic goal of this survey is to provide the necessary database for formulating national policies at various levels. It represents the contribution of the household sector to the Gross National Product (GNP). Household Surveys help as well in determining the incidence of poverty, and providing weighted data which reflects the relative importance of the consumption items to be employed in determining the benchmark for rates and prices of items and services. \nGenerally, the Household Expenditure and Consumption Survey is a fundamental cornerstone in the process of studying the nutritional status in the Palestinian territory.\n\nThe raw survey data provided by the Statistical Office was cleaned and harmonized by the Economic Research Forum, in the context of a major research project to develop and expand knowledge on equity and inequality in the Arab region. \nThe main focus of the project is to measure the magnitude and direction of change in inequality and to understand the complex contributing social, political and economic forces influencing its levels. However, the measurement and analysis of the magnitude and direction of change in this inequality cannot be consistently carried out without harmonized and comparable micro-level data on income and expenditures.\nTherefore, one important component of this research project  is securing and harmonizing household surveys from as many countries in the region as possible, adhering to international statistics on household living standards distribution. Once the dataset has been compiled, the Economic Research Forum makes it available, subject to confidentiality agreements, to all researchers and institutions concerned with data collection and issues of inequality. \nData is a public good, in the interest of the region, and it is consistent with the Economic Research Forum's mandate to make micro data available, aiding regional research on this important topic.","coll_dates":[{"start":"2007-01-15","end":"2008-01-15","cycle":"Annual"}],"nation":[{"name":"West Bank and Gaza","abbreviation":"WBG"}],"geog_coverage":"The survey data covers urban, rural and camp areas in West Bank and Gaza Strip.","analysis_unit":"1- Household\/families.\n2- Individuals.","universe":"The survey covered all the Palestinian households who are a usual residence in the Palestinian Territory.","data_kind":"Sample survey data [ssd]","notes":"Household: Includes geographic, social, and economic characteristics of households, namely, household composition, dwelling characteristics, ownership of assets indicators, heads' and spouses' characteristics, annual household expenditure and income.\n\nIndividual:  Includes demographic, education, labor and health characteristics, as well as annual income for household members identified as earners.\nFathers' and mothers' characteristics are generated for household members if possible.","study_scope":"Household: Includes geographic, social, and economic characteristics of households, namely, household composition, dwelling characteristics, ownership of assets indicators, heads' and spouses' characteristics, annual household expenditure and income.\n\nIndividual:  Includes demographic, education, labor and health characteristics, as well as annual income for household members identified as earners.\nFathers' and mothers' characteristics are generated for household members if possible."},"method":{"data_collection":{"data_collectors":[{"name":"Palestinian Central Bureau of Statistics","abbreviation":"PCBS","affiliation":"Palestinian National Authority"}],"sampling_procedure":"Sample and Frame:\n============\n The sampling frame consists of all enumeration areas which enumerated in 1997 and the numeration area consists of  buildings and housing units and has in average about 150 households in it.  We use the enumeration areas as primary sampling units PSUs in the first stage of  the sampling selection.  The enumeration areas of the master sample were updated   in 2003.\n\nSample Design:\n=========\nThe sample is stratified cluster systematic random sample with two stages:\nFirst stage: selection a systematic random sample   of 120 enumeration areas.\nSecond stage: selection a systematic random sample of 12-18 households from each enumeration area selected in the first stage.\n\nSample strata:\n=========\nThe population is divided by:\n1-Region (North West Bank, Middle West Bank, South West Bank, Gaza Strip)\n2-Type of Locality (urban, rural, refugee camps)\n\nTarget cluster size:\n============\nThe target cluster size or \"sample-take\" is the average number of households to be selected per PSU.  In this survey, the sample take is around 12 households.\n\nSample Size:\n========\nThe calculated sample size is 1,714 households, the completed households were 1,231 (812 in the west bank and 419 in the Gaza strip).","coll_mode":"Face-to-face [f2f]","research_instrument":"The PECS questionnaire consists of two main sections: \n\nFirst section: \nCertain articles \/ provisions of the form filled at the beginning of the month, and the remainder filled out at the end of the month. The questionnaire includes the following provisions:\n\nCover sheet: It contains detailed and particulars of the family, date of visit, particular of the field\/office work team, number\/sex of the family members.\n\nStatement of the family members: Contains social, economic and demographic particulars of the selected family.\n\nStatement of the long-lasting commodities and income generation activities:\nIncludes a number of basic and indispensable items (i.e., Livestock, or agricultural lands).\n\nHousing Characteristics: Includes information and data pertaining to the housing conditions, including type of shelter, number of rooms, ownership, rent, water, electricity supply, connection to the sewer system, source of cooking and heating fuel, and remoteness\/proximity of the house to education and health facilities.\n\nMonthly and Annual Income: Data pertaining to the income of the family is collected from different sources at the end of the registration \/ recording period.\n\n Assistance and poverty: includes questions about household conditions and assistances that got through the the past month.\n\nSecond section: \nThe second section of the questionnaire includes a list of 55 consumption and expenditure groups itemized and serially numbered according to its importance to the family. Each of these groups contains important commodities. The number of commodities items in each for all groups stood at 667 commodities and services items. Groups 1-21 include food, drink, and cigarettes. Group 22 includes homemade commodities. Groups 23-45 include all items except for food, drink and cigarettes. Groups 50-55 include all of the long-lasting commodities. Data on each of these groups was collected over different intervals of time so as to reflect expenditure over a period of one full year, except the cars group the data of which was collected for three previous years.\nThese data was abotained from the recording book which is covered a period of month for each household.","coll_situation":"Four teams of female interviewers, three in the West Bank and one in the Gaza Strip carried out data collection.  Each team consisted of a supervisor, a field editor, and 1-2 interviewers. Fieldwork teams were distributed to different districts according to sample allocation.  \n\nAll field staff received a training session combining general theoretical and practical components. Interviewers, supervisors and editors for the survey were selected from those who worked on the previous rounds of PECS Surveys. Fieldwork procedures and organization were designed to ensure adequate supervision and the collection of high quality data. To this end, several quality control measures were used throughout fieldwork. An interviewer undertook between 120 and 150 household visits in a month.  The households were asked to keep daily records in a diary during their recording month.  The interviewer transferred the records in a questionnaire on a weekly basis.  Data on durable goods were captured by the recall method for the last 12 months (rounds), in order to avoid large variance in estimates when the one-month approach is used.","weight":"First, the primary weight for the household in a certain startum was calculated by dividing the number of households in the  stratum on the sample size of households in the same stratum. \nThen the weights for the respondents were adjusted to compensate for the non response of households by calculating the factor of weights adjustment through dividing the sample size of households from a certain stratum on the number of the respondent in the households from tha same stratum.\nThe final weight for the households is therefore a multiplication of the factor of the weights adjustment by the primary weights for the household.","cleaning_operations":"Raw Data\n=======\nData editing took place through a number of stages, including:\n1. Office editing and coding\n2. Data entry\n3. Structure checking and completeness\n4. Structural checking of SPSS data files\n\nHarmonized Data\n============\n- The Statistical Package for Social Science (SPSS) is used to clean and harmonize the datasets.\n- The harmonization process starts with cleaning all raw data files received from the Statistical Office.\n- Cleaned data files are then all merged to produce one data file on the individual level containing all variables subject to harmonization.\n- A country-specific program is generated for each dataset to generate\/compute\/recode\/rename\/format\/label harmonized variables.\n- A post-harmonization cleaning process is run on the data.\n- Harmonized data is saved on the household as well as the individual level, in SPSS and converted to STATA format.","method_notes":"Raw Data\n=======\nBoth data entry and tabulation were performed using the ACCESS and SPSS software programs. Data entry was organized in 6 files, corresponding to the main parts of the questionnaire. A data entry template was designed to reflect an exact image of the questionnaire, and included various electronic checks: logical check, range checks, consisting checks and cross-validation. Complete manual inspection of results after data entry was performed, and questionnaires containing field-related errors were sent back to the field for corrections."},"analysis_info":{"response_rate":"The survey sample consists of about 1,714 households interviewed over a twelve months period between (January 2007-January 2008).1,231 households completed the interview, of which 812 were from the West Bank and 419 households in Gaza Strip; the response rate was 71.8% in the Palestinian Territory.","sampling_error_estimates":"The calculations of standard errors for the main survey estimates enable the user to identify the accuracy of estimates and the survey reliability. \nTotal errors of the survey can be divided into two kinds: statistical errors, and non-statistical errors.\nNon-statistical errors are related to the procedures of statistical work at different stages, such as the failure to explain questions in the questionnaire, unwillingness or inability to provide correct responses, bad statistical coverage, etc. These errors depend on the nature of the work, training, supervision, and conducting of all the various related activities.\nThe work team spared no effort at the different stages to minimize non-statistical errors; however, it is difficult to estimate numerically such errors due to absence of technical computation methods based on theoretical principles to tackle them.\nOn the other hand, statistical errors can be measured. Frequently they are measured by the standard error, which is the positive square root of the variance. The variance of this survey has been computed by using the \"programming package\" CENVAR","data_appraisal":"The impact of errors on the data quality was reduced to the minimal due to the high efficiency and outstanding selection, training, and performance of the fieldworkers.\nProcedures adopted during the fieldwork of the survey were considered a necessity to ensure the collection of accurate data, notably:\n1)  Develop schedules to conduct field visits to households during survey fieldwork. The objectives of the visits and the data that is collected on each visit were predetermined.\n2) Fieldwork editing rules were applied during the data collection to ensure corrections were implemented before the end of fieldwork activities\n3) Fieldworker were instructed to provide details in case of extreme expenditure or consumption of the household.\n4) Postpone the questions on income to the last visit at the end of the month\n5) Validation rules were embedded in the data processing systems along with procedures to verify data entry and data editing."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"To access the micro-data, researchers are required to register on the ERF website and comply with the data access agreement. \n\nThe data will be used only for scholarly, research, or educational purposes. Users are prohibited from using data acquired from the Economic Research Forum in the pursuit of any commercial or private ventures.","required":"yes","form_no":"","uri":""}],"contact":[{"name":"Economic Research Forum","affiliation":"Economic Research Forum (ERF)","email":"erfdataportal@erf.org.eg ","uri":"www.erf.org.eg"},{"name":"Palestinian Central Bureau of Statistics","affiliation":"Palestinian National Authority","email":"diwan@pcbs.gov.ps","uri":"www.pcbs.gov.ps"}],"cit_req":"The users should cite the Economic Research Forum and the Palestinian Central Bureau of Statistics as follows:\n\n\"Economic Research Forum and the Palestinian Central Bureau of Statistics, Palestinian Consumption and Expenditure Survey 2007\/2008 (PECS 2007\/2008), Version 1.0 of the Licensed data files (March 2013), provided by the Economic Research Forum. http:\/\/www.erfdataportal.com\/index.php\/catalog\"","conditions":"Licensed datasets, accessible under conditions.","disclaimer":"The Economic Research Forum and the Palestinian Central Bureau of Statistics have granted the researcher access to relevant data following exhaustive efforts to protect the confidentiality of individual data. The researcher is solely responsible for any analysis or conclusions drawn from available data."}}},"data_files":[{"file_id":"F1","file_name":"Pal_2007_HH","description":null,"case_count":"0","var_count":"189","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F2","file_name":"Pal_2007_Person","description":null,"case_count":"0","var_count":"46","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null}],"variables":[{"vid":"V1","name":"COUNTRY","file_id":"F1","var_intrvl":"discrete","var_start_pos":"1","var_end_pos":"9","var_width":"9","var_rec_seg_no":"1","labl":"Unique country identifier","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"String variable representing the country name","var_codeinstr":"Generated by ERF","var_format":"character","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThis variable exists both in the household and the person file and is necessary when concatenating files from different datasets.\nUse this variable when concatenating files from different datasets.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V2","name":"YEAR","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"10","var_end_pos":"13","var_width":"4","var_rec_seg_no":"1","labl":"Survey Year","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Year during which the survey was performed","var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThis variable exists both in the household and the person file and is necessary when concatenating files from different datasets.\nUse this variable when concatenating files from different datasets.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V3","name":"CASESER","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"14","var_end_pos":"18","var_width":"5","var_rec_seg_no":"1","labl":"Unique unit identifier","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Sequential anonymous household identifier usually provided in the dataset","var_codeinstr":"Original survey variable renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThis variable exists both in the household and person file and is necessary when merging the two files. This identifier is unique only within each country\/year dataset; when combining different countries or years it is necessary to use it in combination with the variables COUNTRY and YEAR in order to uniquely identify households.\nWhen merging household and individual level files from the same dataset, use this variable to link each individual to the right household.\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V4","name":"HWEIGHT","file_id":"F1","var_dcml":"6","var_intrvl":"discrete","var_start_pos":"19","var_end_pos":"25","var_width":"7","var_rec_seg_no":"1","labl":"Household weight","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Data provider household weight","var_codeinstr":"Original survey variable renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe household weight can correct just for sample bias, or also for non-sampling errors (such as response bias and adjustment to population distribution). In many cases, the weight is a population weight, which means that the weight will inflate the result to reflect the total population. \nWe strongly recommend that all statistical analysis be performed using the data weights\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V5","name":"REG","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"26","var_end_pos":"26","var_width":"1","var_rec_seg_no":"1","labl":"Region","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"2"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Region of residence","var_catgry":[{"value":"1","labl":"West Bank","stats":null,"type":null},{"value":"2","labl":"Gaza Strip","stats":null,"type":null}],"var_codeinstr":"Original survey variable renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V6","name":"RURURB","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"27","var_end_pos":"27","var_width":"1","var_rec_seg_no":"1","labl":"Urban\/Rural residence","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"2"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Indicate whether the region is urban\/rural","var_catgry":[{"value":"0","labl":"Rural","stats":null,"type":null},{"value":"1","labl":"Urban","stats":null,"type":null},{"value":"2","labl":"Refugee camps","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf) if available","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIn case the country has refugee camps (as in Palestine), the \"refugee camp\" category is coded \"2\"\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V7","name":"HNUM","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"28","var_end_pos":"29","var_width":"2","var_rec_seg_no":"1","labl":"Number of persons","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Total number of persons in the household (including children or any other individuals not included in individual-level survey for any reason)","var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIn general, summation over all individuals in the household.\nIf the individual file does not include all household members, the variable is constructed directly from household level original information\nHNUM=FEMLNUM+MALNUM\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V8","name":"MALNUM","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"30","var_end_pos":"31","var_width":"2","var_rec_seg_no":"1","labl":"Number of Males","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Total number of Males in the household (including children)","var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V9","name":"FEMLNUM","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"32","var_end_pos":"33","var_width":"2","var_rec_seg_no":"1","labl":"Number of Females","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Total number of females in the household (including children)","var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V10","name":"CH14","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"34","var_end_pos":"35","var_width":"2","var_rec_seg_no":"1","labl":"Number of persons under age 14","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Number of persons under age 14 living in the household","var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThis includes (ever) married children as well as heads and spouses under fourteen .\nIf the individual file does not include all household members, the variable is constructed directly from household level original information\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V11","name":"NUM65","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"36","var_end_pos":"36","var_width":"1","var_rec_seg_no":"1","labl":"Number of persons aged 65 or more","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Number of household members aged 65 or more including head and spouse.","var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIf the individual file does not include all household members, the variable is constructed directly from household level original information\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V12","name":"HCOMP","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"37","var_end_pos":"37","var_width":"1","var_rec_seg_no":"1","labl":"Household composition","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"6"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Indicates the composition of the household with the number of adults and of children using standardized family models: 2 adults no children, 2 adults 1-2 children etc..","var_catgry":[{"value":"1","labl":"1-2 adults, no child","stats":null,"type":null},{"value":"2","labl":"1-2 adults, 1-2 children","stats":null,"type":null},{"value":"3","labl":"1-2 adult, 3 or more children","stats":null,"type":null},{"value":"4","labl":"3 adults or more, 0-1 child","stats":null,"type":null},{"value":"5","labl":"3 adults or more, 2-3 children","stats":null,"type":null},{"value":"6","labl":"3 adults or more, 4 children or more","stats":null,"type":null}],"var_codeinstr":"Generated by ERF\nOR\nOriginal survey variable recoded\/renamed (Ref: Data dictionary.pdf) if available","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThis variables might not exist in all surveys and can be constructed using the information in the household and person files.\nIn case the variable is generated, the adult is defined as either a:\n- HH member aged 18 years or older \n- HH head even if aged less than 18 years\n- a married HH member even if aged less than 18 years \n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V13","name":"MARRIED","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"38","var_end_pos":"38","var_width":"1","var_rec_seg_no":"1","labl":"Head living in couple","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"2"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Standardized code that indicates whether the head of the household has a partner and the type of partnership","var_catgry":[{"value":"0","labl":"No couple present in the household","stats":null,"type":null},{"value":"1","labl":"Married couple head and spouse","stats":null,"type":null},{"value":"2","labl":"Several cohabiting spouses","stats":null,"type":null}],"var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe head may cohabit with his mother or sister and in this case the concept of No couple applies. Another possible status is when the head has several spouses. Here a problem should exist if the spouses live in different houses so two different households may have the same head. \nGenerated from individual files\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V14","name":"EARN","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"39","var_end_pos":"39","var_width":"1","var_rec_seg_no":"1","labl":"Number of earners","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Number of household members who receives any earnings.","var_codeinstr":"Generated by ERF\nOR\nOriginal survey variable recoded\/renamed (Ref: Data dictionary.pdf) if available","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nAll individuals who have received any earnings during the reference period, only a subset may have been in employment at the time of the survey.\nIf the individual file does not include all household members, or if incomes are not available at the individual level, the variable is constructed either from other individual level variables (e.g. employment status), or directly from household level original information.\nPensioners and any individual receiving any kind of income is considered as earner. \n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nNumber of earners was created using members\u2019 relation to labor force by counting the number of employed persons. Those absent from work were not counted since they are not among earners at a time of the survey. \nNumber of pensioners was not counted as well since pensioners are not identified.","fid":"F1"},{"vid":"V15","name":"INCS","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"40","var_end_pos":"40","var_width":"1","var_rec_seg_no":"1","labl":"Source of income","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"5"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Main income source of the household","var_catgry":[{"value":"1","labl":"Household business","stats":null,"type":null},{"value":"2","labl":"Salaries and wages","stats":null,"type":null},{"value":"3","labl":"Remittances from country or abroad","stats":null,"type":null},{"value":"4","labl":"Pensions","stats":null,"type":null},{"value":"5","labl":"Other","stats":null,"type":null}],"var_codeinstr":"Generated by ERF\nOR\nOriginal survey variable recoded\/renamed (Ref: Data dictionary.pdf) if available","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThis variable may not exist in most of the surveys but can be constructed from the individual files \n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\n\u2022 Main source of income was generated using H23_1 to H23_13 (in original survey data)  indicating a ranking for the source of income from 1 to 5 for each source. The rank \u201c1\u201d was taken into consideration in the variable computation","fid":"F1"},{"vid":"V16","name":"DWLTYP","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"41","var_end_pos":"41","var_width":"1","var_rec_seg_no":"1","labl":"Type of dwelling","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"4"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Type of the dwelling","var_catgry":[{"value":"1","labl":"House","stats":null,"type":null},{"value":"2","labl":"Villa","stats":null,"type":null},{"value":"3","labl":"Apartment","stats":null,"type":null},{"value":"4","labl":"Others","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThis variable mainly distinguishes between villa, apartments and others \n\"House\" includes traditional, modern or Arabic house etc.\n\"Villa\" includes palace, villa or a floor in a villa, duplex etc.\n\"Other\" includes clay\/reed house, primitive house, caravan etc.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V17","name":"DWLTEN","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"42","var_end_pos":"42","var_width":"1","var_rec_seg_no":"1","labl":"Tenure of dwelling","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"4"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Type of tenure","var_catgry":[{"value":"1","labl":"Rented","stats":null,"type":null},{"value":"2","labl":"Owned","stats":null,"type":null},{"value":"3","labl":"Provided free","stats":null,"type":null},{"value":"4","labl":"Others","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThis variable distinguishes between owned or rented living quarters.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V18","name":"ROOM","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"43","var_end_pos":"44","var_width":"2","var_rec_seg_no":"1","labl":"Number of rooms","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Number of rooms excluding bathroom and kitchen","var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIn some surveys there is no indication whether the bathroom and kitchen are counted in the number of rooms or not, we assume they are excluded \n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V19","name":"ELECT","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"45","var_end_pos":"45","var_width":"1","var_rec_seg_no":"1","labl":"Electrified","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Indicates if the dwelling is electrified or not","var_catgry":[{"value":"0","labl":"No","stats":null,"type":null},{"value":"1","labl":"Electrified","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThis variable is often generated from the source of lighting. Using private generator is considered as electrified.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V20","name":"SCOOK","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"46","var_end_pos":"46","var_width":"1","var_rec_seg_no":"1","labl":"Source of energy for cooking","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"5"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Distinguish between different sources of energy for cooking","var_catgry":[{"value":"1","labl":"Electricity","stats":null,"type":null},{"value":"2","labl":"Gas","stats":null,"type":null},{"value":"3","labl":"Kerosene","stats":null,"type":null},{"value":"4","labl":"Wood & coal","stats":null,"type":null},{"value":"5","labl":"Others","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V21","name":"WAT","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":"Water facilities","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"5"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Indicates from where the household get its drinking water","var_catgry":[{"value":"1","labl":"Piped supply","stats":null,"type":null},{"value":"2","labl":"Public tap","stats":null,"type":null},{"value":"3","labl":"Well","stats":null,"type":null},{"value":"4","labl":"Tanker","stats":null,"type":null},{"value":"5","labl":"Other","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThis variable indicates the main source of drinking water. Piped supply includes public and private networks; public tap includes fountains and springs; wells are either with or without pumps private or public etc. Tanker includes purchased water indoor or outdoor; other includes lakes, rivers, makhzen for rainwater etc. \n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V22","name":"TFACIL","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":"Transportation facilities","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"3"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Indicates the proximity to public transportation","var_catgry":[{"value":"1","labl":"Less than 1 KM","stats":null,"type":null},{"value":"2","labl":"1-5 KM","stats":null,"type":null},{"value":"3","labl":"More than 5 KM","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThis variable indicates the distance range to public transportation\nIn case we have different ordinal variables indicating proximity different transportation means (separately) such to taxi, bus , etc. we take the average.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nProximity to health\/school\/transportation facility variables were generated as a \u201cround average\u201d of the variables  indicating the distance to different facilities.","fid":"F1"},{"vid":"V23","name":"SFACIL","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"49","var_end_pos":"49","var_width":"1","var_rec_seg_no":"1","labl":"Schooling facilities","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"3"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Indicates the proximity to schools\/universities","var_catgry":[{"value":"1","labl":"Less than 1 KM","stats":null,"type":null},{"value":"2","labl":"1-5 KM","stats":null,"type":null},{"value":"3","labl":"More than 5 KM","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThis variables is a summary of variables indicating the distance to elementary school, university etc.\nIn case we have different ordinal variables indicating proximity to different education establishments (separately) such to elementary schools, secondary schools , etc. we take the average.\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nIndicates the proximity to Elementary Schools only","fid":"F1"},{"vid":"V24","name":"HFACIL","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"50","var_end_pos":"50","var_width":"1","var_rec_seg_no":"1","labl":"Health facilities","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"3"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Indicates the proximity to health centers and hospitals","var_catgry":[{"value":"1","labl":"Less than 1 KM","stats":null,"type":null},{"value":"2","labl":"1-5 KM","stats":null,"type":null},{"value":"3","labl":"More than 5 KM","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThis variables is a summary of variables indicating the distance to health center and hospital\nIn case we have different ordinal variables indicating proximity to different health establishments (separately) such to private doctors, hospitals health centers , etc. we take the average.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nIndicates the proximity to health centers and hospitals including doctor, health center, hospital, and mother and child health center","fid":"F1"},{"vid":"V25","name":"TOIF","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"51","var_end_pos":"51","var_width":"1","var_rec_seg_no":"1","labl":"Toilet facility","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"3"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Indicate whether the household has access to toilet facility","var_catgry":[{"value":"1","labl":"Yes and connected to sewage","stats":null,"type":null},{"value":"2","labl":"Yes and not connected to sewage","stats":null,"type":null},{"value":"3","labl":"No facility","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIn case we don't have information on the connection to sewage system but we do know if the toilet is inside or outside the dwelling we can consider toilets outside the dwelling as not connected to sewage (option 2). \n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nGenerated using 2 variables (from original survey data)- H9c: connection to sewage public network & H12: Availability of toilet","fid":"F1"},{"vid":"V26","name":"CAR","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"52","var_end_pos":"52","var_width":"1","var_rec_seg_no":"1","labl":"Has car\/truck\/tractor","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Indicates if the household owns or has free access to car, scooter, taxi, boat, tractor etc..","var_catgry":[{"value":"0","labl":"None","stats":null,"type":null},{"value":"1","labl":"Own one or many","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V27","name":"TELV","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"53","var_end_pos":"53","var_width":"1","var_rec_seg_no":"1","labl":"Has television\/radio","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Indicates if the household owns or has free access to television, video, radio, dish, receiver, CD player etc.","var_catgry":[{"value":"0","labl":"None","stats":null,"type":null},{"value":"1","labl":"Own one or many","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V28","name":"TELPH","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"54","var_end_pos":"54","var_width":"1","var_rec_seg_no":"1","labl":"Has telephone","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Indicates if the household owns or has free access to telephone, cell phone, fax machine, internet line, computer etc.","var_catgry":[{"value":"0","labl":"None","stats":null,"type":null},{"value":"1","labl":"Own one or many","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V29","name":"REFRG","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"55","var_end_pos":"55","var_width":"1","var_rec_seg_no":"1","labl":"Has refrigerator\/ Freezer","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Indicates if the household owns or has free access to refrigerator, freezer, water cooler.","var_catgry":[{"value":"0","labl":"None","stats":null,"type":null},{"value":"1","labl":"Own one or many","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V30","name":"COOKER","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"56","var_end_pos":"56","var_width":"1","var_rec_seg_no":"1","labl":"Has Cooker\/ food processor","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Indicates if the household owns or has free access to a  gas or electric cooking stove, microwave, etc.","var_catgry":[{"value":"0","labl":"None","stats":null,"type":null},{"value":"1","labl":"Own one or many","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V31","name":"WASH","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"57","var_end_pos":"57","var_width":"1","var_rec_seg_no":"1","labl":"Has washing machine","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Indicates if the household owns or has free access to  a washing machine, dryer, dishwasher, etc.","var_catgry":[{"value":"0","labl":"None","stats":null,"type":null},{"value":"1","labl":"Own one or many","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V32","name":"COND","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"58","var_end_pos":"58","var_width":"1","var_rec_seg_no":"1","labl":"Has air conditioner","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Indicates if the household owns or has free access to an air conditioner, electric fan, etc.","var_catgry":[{"value":"0","labl":"None","stats":null,"type":null},{"value":"1","labl":"Own one or many","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V33","name":"WAHEAT","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"59","var_end_pos":"59","var_width":"1","var_rec_seg_no":"1","labl":"Has water heater","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Indicates if the household owns or has free access to a solar, gas, electric, etc. water heater","var_catgry":[{"value":"0","labl":"None","stats":null,"type":null},{"value":"1","labl":"Own one or many","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V34","name":"ODUR","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"60","var_end_pos":"60","var_width":"1","var_rec_seg_no":"1","labl":"Has other durables","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Indicates if the household owns or has free access to a sewing machine, iron, vacuum, and any other household appliance","var_catgry":[{"value":"0","labl":"None","stats":null,"type":null},{"value":"1","labl":"Own one or many","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nVariable does not include \u201chome library\u201d identified in the survey data as durable good (H21_10).","fid":"F1"},{"vid":"V35","name":"LIVESTOK","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"61","var_end_pos":"61","var_width":"1","var_rec_seg_no":"1","labl":"Has cattle\/sheep\/ poultry","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"All kinds of livestock, donkey, horses, etc\u2026","var_catgry":[{"value":"0","labl":"None","stats":null,"type":null},{"value":"1","labl":"Own one or many","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V36","name":"OLAND","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"62","var_end_pos":"62","var_width":"1","var_rec_seg_no":"1","labl":"Own land","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Indicates whether the household owns land or not","var_catgry":[{"value":"0","labl":"None","stats":null,"type":null},{"value":"1","labl":"Own one or many","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nH24 (in original survey data) indicating if household have an agricultural land does not permit to identify different types of ownership, therefore all households having a land were assumed to be owning this land and the variable was used to generate \u201cOland\u201d variable in the ERF list. Accordingly, H25 (in original survey data) was used to indicate the area of land assumed to be owned.","fid":"F1"},{"vid":"V37","name":"ALAND","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"63","var_end_pos":"69","var_width":"7","var_rec_seg_no":"1","labl":"Area of Own land","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Indicates the area of the owned land","var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nALAND=0 IF OLAND=0 (do not own a land), hence this variable should be complete for all households except those for which OLAND is missing.\nThe area of land should be reported in square meter\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V38","name":"AGEHD","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"70","var_end_pos":"71","var_width":"2","var_rec_seg_no":"1","labl":"Age - head","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"All heads","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Age of the head in years","var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIn some datasets, age may be calculated at a certain reference date (e.g., 31 December of last year). When the original dataset has only age categories, age is calculated as the midpoint of the range provided. In some datasets, AGE is top coded by the data provider (e.g., a value of 95 represents 95 years of age or over).\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\n98 indicates those aged 98 years or older","fid":"F1"},{"vid":"V39","name":"MARTHD","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"72","var_end_pos":"72","var_width":"1","var_rec_seg_no":"1","labl":"Marital status - head","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"5"}],"var_universe":"All heads aged 12 +","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Legal administrative status concerning marriage of the head","var_catgry":[{"value":"1","labl":"Never married","stats":null,"type":null},{"value":"2","labl":"Married monogamous","stats":null,"type":null},{"value":"3","labl":"Married polygamous","stats":null,"type":null},{"value":"4","labl":"Divorced\/Separated","stats":null,"type":null},{"value":"5","labl":"Widowed","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nShould not be imputed, it can be generated only for those to whom the question was asked (in other words, the youngest age at which information is collected may differ depending on the survey).\nMarried refers to only formal marriages (including legally married). Polygamous unions includes males with multiple spouses. \nNumber of spouses in household can be applied to compute polygamy.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V40","name":"PARTHD","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"73","var_end_pos":"73","var_width":"1","var_rec_seg_no":"1","labl":"Partnership and parenthood status - head","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"6"}],"var_universe":"All heads","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"ERF recode that allows users to identify heads as having a partner (either married or unmarried) versus not having a partner, as well as parents as opposed to non-parents, using a single variable","var_catgry":[{"value":"1","labl":"Head with partner, with no children","stats":null,"type":null},{"value":"2","labl":"Head with partner, with children, Youngest child<18","stats":null,"type":null},{"value":"3","labl":"Head with partner, with children, Youngest child 18+","stats":null,"type":null},{"value":"4","labl":"Single Head, with no children","stats":null,"type":null},{"value":"5","labl":"Single Head, with children, Youngest child<18","stats":null,"type":null},{"value":"6","labl":"Single Head, with children, Youngest child 18+","stats":null,"type":null}],"var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nPartnership status for head may be restricted to civic status, parenthood status assumes that the children of the head are also children of the spouse.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nTo generate Partnership and parenthood status \u2013 head variable, a single head is defined as never married, divorced, separated or widowed.\nHead with partner is defined as married head.","fid":"F1"},{"vid":"V41","name":"LITHD","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"74","var_end_pos":"74","var_width":"1","var_rec_seg_no":"1","labl":"Literacy status - head","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"All heads aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates whether the head is literate (can read and write) or not","var_catgry":[{"value":"0","labl":"No","stats":null,"type":null},{"value":"1","labl":"Can read & write","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nA person is considered literate if they can both read and write and not just one or the other. A semi-literate person (one who can read, but cannot write) is said to be illiterate.\nIn the case where the survey asks only whether a person can read but does not ask if they can write, and in case there no information in the questionnaire about the reading and writing ability literacy cannot be determined, these are coded as missing.\nIf there are no questions about the read and write ability but the educational attainment is elementary or upper the individual is considered literate\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V42","name":"SEXHD","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"75","var_end_pos":"75","var_width":"1","var_rec_seg_no":"1","labl":"Gender - head","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"2"}],"var_universe":"All heads","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Gender of the head","var_catgry":[{"value":"1","labl":"Male","stats":null,"type":null},{"value":"2","labl":"Female","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIndicator for gender of individual. \n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V43","name":"EDUHD","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"76","var_end_pos":"77","var_width":"2","var_rec_seg_no":"1","labl":"Educational level - head","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"All heads aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Highest level of education attained by the head","var_catgry":[{"value":"1","labl":"None","stats":null,"type":null},{"value":"2","labl":"Primary","stats":null,"type":null},{"value":"3","labl":"Lower secondary","stats":null,"type":null},{"value":"4","labl":"Secondary","stats":null,"type":null},{"value":"5","labl":"Post secondary or equivalent","stats":null,"type":null},{"value":"6","labl":"University","stats":null,"type":null},{"value":"7","labl":"Postgraduate","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nPrimary corresponds to elementary, and lower secondary to preparatory\/second stage of basic education  \nIn case there is no distinction in the survey between primary and preparatory education level and the individual is not currently enrolled in school we consider his education level primary \nIf there is no information on highest level of education completed, the variable can be constructed using diploma level and\/or years of education. The selection of the variable must be based on a careful review of the data.\nWhen using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attending minus one (1).\nThis is country specific- not all countries require the same number of school years to complete a given level.\nThe value \"None\" does not mean that the person never attended school it means that the individual did not complete the first level of education (elementary) \nNone corresponds either to those currently enrolled in primary but didn't get the diploma or those illiterate, Read and Write, in informal school such as  Koranic school, traditional, vocational training  or adult etc.(cross tabulation with type of school will allow to identify those without education level)\nIf there is no question on highest level of education completed for those not attending school and there is no information on diploma and\/or years of education completed, then the variable cannot be constructed.\nUniversity education level refers to any higher education after successfully completing secondary level of education regardless of whether this was completed. \nNot stated is for cases where no education level is stated- this should be checked and avoided as much as possible. This classification should be documented.\nIf no information on the completeness of the education level, classify as incomplete and add specific comment to documentation.\nIf person is illiterate and there is no information on school level, use the code 1.\nIf there is no information on the literacy status all levels other than formal education grades and not stated can be coded 1 \"None\".\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V44","name":"MASHD","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"78","var_end_pos":"79","var_width":"2","var_rec_seg_no":"1","labl":"Main activity status - head","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"All heads aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Main activity status of the head during the survey period","var_catgry":[{"value":"1","labl":"Employed","stats":null,"type":null},{"value":"2","labl":"Unemployed","stats":null,"type":null},{"value":"3","labl":"Homemaker (Housewife)","stats":null,"type":null},{"value":"4","labl":"Student","stats":null,"type":null},{"value":"5","labl":"Pensioners\/retired\/disabled","stats":null,"type":null},{"value":"6","labl":"Others","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe reference period might be the last 12 months or  the current time period.  \nUnlike PCLFS, the main distinction in PCMAS is between:\n- \u201cEmployed\u201d -those who, during the reference period, carried out ANY employment (any type or any extent) - even just one occasional hour of paid work or irregular unpaid family work (ILO definition).  Among the employed, the variable should distinguish, if available, between those employed at work and those on leave\n- \u201cNot Employed\u201d.  \nThe rationale is that individuals do not generally spend their time \u201cbeing unemployed\u201d, but use the time in unemployment to participate in other activities (e.g., attending school or being a housewife).  Unemployment will generally be considered the primary activity only if the individual states that unemployment is his\/her primary activity (e.g., unemployed and actively searching for a job) or if the individual is registered as unemployed and does not indicate significant participation in any other activity.  In these cases, the individuals will be assigned to their own category among the \u201cNot Employed\u201d.\nAccordingly, \"Not Employed\" are classified into:\n     - Unemployed - individuals who are not employed according to the definition above, and who report that they are unemployed. \n     - Not in Labor Force \/ Inactive \u2013 individuals identifiable as being neither employed nor unemployed, by the definitions above.  If possible, the inactive category should distinguish between the retired, students, and homemakers.\n     - Not Employed \/ Unemployed or Not in Labor Force - In some cases, it is not possible to distinguish between those who are unemployed and those who are inactive, but it is possible to determine that they are not employed.  In those cases where it is not feasible to determine unemployed versus inactive status, these individuals will be coded as \"Not Employed\".\nIn some surveys individuals are classified as employed students (or employed housewives) in that case they are considered as active in PCLFS and classified student (or housewives) in PCMAS. A cross tab between the two variables will permit to distinguish employed students (or housewives) from inactive ones.\nA proper documentation should particularly be done for those cases during harmonization process\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V45","name":"EMSHD","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"80","var_end_pos":"81","var_width":"2","var_rec_seg_no":"1","labl":"Status of Employment - head","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Active heads aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Detailed description of the employment status of the head","var_catgry":[{"value":"1","labl":"Employee","stats":null,"type":null},{"value":"2","labl":"Employer","stats":null,"type":null},{"value":"3","labl":"Own-account, self-employed","stats":null,"type":null},{"value":"4","labl":"Contributing (unpaid) family worker","stats":null,"type":null},{"value":"5","labl":"Members of producers cooperatives","stats":null,"type":null},{"value":"6","labl":"Workers not classifiable by status (other)","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe lower age cutoff (and perhaps upper age cutoff) at which information is collected will vary from country to country. Definitions taken from the International Labor Organizations Classification of Status in Employment with some revisions to take into account the data available.\nEmployee includes anyone whose basic remuneration is not directly dependent on the revenue of the unit they work for, typically remunerated by wages and salaries but may be paid for piece work or in-kind. The continuous criteria used in the ILO definition is not used here as data are often absent and due to country specificity.\nPublic includes quasi-government organizations.\nEmployer is a business owner (whether alone or in partnership) with employees. If the only people working in the business are the owner and contributing family workers, the person is not considered an employer (as has no employees) and is, instead classified as own account.\nOwn account or self-employment: jobs are those where remuneration is directly dependent from the goods and service produced (where home consumption is considered to be part of the profits) and have not engaged any permanent employees to work for them on a continuous basis during the reference period.\nMembers of producers cooperatives are workers who hold a self-employment job in a cooperative producing goods and services .\nContributing family workers are those workers who hold a self-employment job in a market-oriented establishment operated by a related person living in the same households who cannot be regarded as a partner because of their degree of commitment to the operation of the establishment, in terms of working time or other factors, is not at a level comparable to that of the head of the establishment.\nWorkers not classifiable by status (code 6) include those for whom insufficient relevant information is available and\/or who cannot be included in any of the preceding categories. \nThe variable should generally cover the active sample (employed and unemployed).\nActive sample reported as \"not stated (code 99)\" should normally include employed for whom the status was not identified and unemployed if status in last job is not reported. \n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V46","name":"OCCHD","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"82","var_end_pos":"83","var_width":"2","var_rec_seg_no":"1","labl":"Classification of Occupations for main job - head","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Active heads aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"International Standard Occupational classification of the main (current or last held) job  of the head , with as much detail as possible (ideally 4-digit ISCO-88 or 08 if available in original survey)  detail as possible (ideally 4-digit ISCO-88 or 08 if available in original survey)","var_catgry":[{"value":"1","labl":"Legislators, senior officials and managers","stats":null,"type":null},{"value":"2","labl":"Professionals","stats":null,"type":null},{"value":"3","labl":"Technicians and associate professionals","stats":null,"type":null},{"value":"4","labl":"Clerks","stats":null,"type":null},{"value":"5","labl":"Service workers and shop and market sales","stats":null,"type":null},{"value":"6","labl":"Skilled agricultural and fishery workers","stats":null,"type":null},{"value":"7","labl":"Craft and related trades","stats":null,"type":null},{"value":"8","labl":"Plant and machine operators and assemblers","stats":null,"type":null},{"value":"9","labl":"Elementary occupations","stats":null,"type":null},{"value":"11","labl":"Other\/unspecified","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe lower age cut-off (and perhaps upper age cut-off) at which information is collected will vary from country to country.\nClassifies the main job of any individual with a job (EMPLOYED=1) and is missing otherwise. As most surveys collected detailed information and then coded it using national classifications, and the original data is not in the data bases, no attempt has been made to correct or check the original coding.\nThe variable should generally cover the active sample (employed and unemployed).\nActive sample reported as \"not stated (code 99)\" should normally include employed for whom the occupation was not identified and unemployed if occupation in last job is not reported. \n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V47","name":"INDHD","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"84","var_end_pos":"85","var_width":"2","var_rec_seg_no":"1","labl":"International Standard Industrial Classification of main job  - head","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Active heads aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Industry classification of the main (current or last held) job  of the head , with as much detail as possible","var_catgry":[{"value":"1","labl":"Agriculture and Fishing","stats":null,"type":null},{"value":"2","labl":"Mining","stats":null,"type":null},{"value":"3","labl":"Manufacturing","stats":null,"type":null},{"value":"4","labl":"Electricity and Utilities","stats":null,"type":null},{"value":"5","labl":"Construction","stats":null,"type":null},{"value":"6","labl":"Commerce","stats":null,"type":null},{"value":"7","labl":"Transportation, Storage and Communication","stats":null,"type":null},{"value":"8","labl":"Financial, Insurance and Real Estate","stats":null,"type":null},{"value":"9","labl":"Public Administration","stats":null,"type":null},{"value":"10","labl":"Other Services","stats":null,"type":null},{"value":"11","labl":"Unspecified","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIn many datasets national classifications are used.\nThe variable should generally cover the active sample (employed and unemployed).\nActive sample reported as \"not stated (code 99)\" should normally include employed for whom the inductry was not identified and unemployed if industry of last job is not reported. \n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V48","name":"TYPEWKHD","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"86","var_end_pos":"87","var_width":"2","var_rec_seg_no":"1","labl":"Sector of employment - head","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Active heads aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Sector of employment  of the head","var_catgry":[{"value":"1","labl":"Government","stats":null,"type":null},{"value":"2","labl":"Public sector","stats":null,"type":null},{"value":"3","labl":"Private sector","stats":null,"type":null},{"value":"4","labl":"Joint\/Cooperative","stats":null,"type":null},{"value":"5","labl":"Foreign sector","stats":null,"type":null},{"value":"6","labl":"Other","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nCooperative includes also employee in joint ventures.\nOther include workers in national NGOs and in private households\nForeign includes workers in international NGOs \nQuai public sectors are considered as public. In case there is no distinction between Government and public (the survey mixes both categories)  we use the classification used in the original data.\nThe variable should generally cover the active sample (employed and unemployed).\nActive sample reported as \"not stated (code 99)\" should normally include employed for whom the sector was not identified and unemployed if sector of last job is not reported. \n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V49","name":"AGESP_1","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"88","var_end_pos":"89","var_width":"2","var_rec_seg_no":"1","labl":"Age - first spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"All spouses","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Age in years of the first spouse","var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIn some datasets, age may be calculated at a certain reference date (e.g., 31 December of last year). When the original dataset has only age categories, age is calculated as the midpoint of the range provided. In some datasets, AGE is top coded by the data provider (e.g., a value of 95 represents 95 years of age or over).\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\n98 indicates those aged 98 years or older","fid":"F1"},{"vid":"V50","name":"AGESP_2","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"90","var_end_pos":"91","var_width":"2","var_rec_seg_no":"1","labl":"Age - second spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"All spouses","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Age in years of the second spouse","var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIn some datasets, age may be calculated at a certain reference date (e.g., 31 December of last year). When the original dataset has only age categories, age is calculated as the midpoint of the range provided. In some datasets, AGE is top coded by the data provider (e.g., a value of 95 represents 95 years of age or over).\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\n98 indicates those aged 98 years or older","fid":"F1"},{"vid":"V51","name":"AGESP_3","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"92","var_end_pos":"93","var_width":"2","var_rec_seg_no":"1","labl":"Age - third spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"All spouses","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Age in years of the third spouse","var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIn some datasets, age may be calculated at a certain reference date (e.g., 31 December of last year). When the original dataset has only age categories, age is calculated as the midpoint of the range provided. In some datasets, AGE is top coded by the data provider (e.g., a value of 95 represents 95 years of age or over).\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\n98 indicates those aged 98 years or older","fid":"F1"},{"vid":"V52","name":"SEXSP_1","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"94","var_end_pos":"94","var_width":"1","var_rec_seg_no":"1","labl":"Gender - first spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"2"}],"var_universe":"All spouses","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Gender of the first spouse","var_catgry":[{"value":"1","labl":"Male","stats":null,"type":null},{"value":"2","labl":"Female","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIndicator for gender of individual. \n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V53","name":"SEXSP_2","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"95","var_end_pos":"95","var_width":"1","var_rec_seg_no":"1","labl":"Gender - second spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"2"}],"var_universe":"All spouses","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Gender of the second spouse","var_catgry":[{"value":"1","labl":"Male","stats":null,"type":null},{"value":"2","labl":"Female","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIndicator for gender of individual. \n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V54","name":"SEXSP_3","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"96","var_end_pos":"96","var_width":"1","var_rec_seg_no":"1","labl":"Gender - third spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"2"}],"var_universe":"All spouses","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Gender of the third spouse","var_catgry":[{"value":"1","labl":"Male","stats":null,"type":null},{"value":"2","labl":"Female","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIndicator for gender of individual. \n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V55","name":"LITSP_1","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"97","var_end_pos":"97","var_width":"1","var_rec_seg_no":"1","labl":"Literacy status - first spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"All spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates whether the first spouse is literate (can read and write) or not","var_catgry":[{"value":"0","labl":"No","stats":null,"type":null},{"value":"1","labl":"Can read & write","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nA person is considered literate if they can both read and write and not just one or the other. A semi-literate person (one who can read, but cannot write) is said to be illiterate.\nIn the case where the survey asks only whether a person can read but does not ask if they can write, and in case there no information in the questionnaire about the reading and writing ability literacy cannot be determined, these are coded as missing.\nIf there are no questions about the read and write ability but the educational attainment is elementary or upper the individual is considered literate\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V56","name":"LITSP_2","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"98","var_end_pos":"98","var_width":"1","var_rec_seg_no":"1","labl":"Literacy status - second spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"All spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates whether the second spouse is literate (can read and write) or not","var_catgry":[{"value":"0","labl":"No","stats":null,"type":null},{"value":"1","labl":"Can read & write","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nA person is considered literate if they can both read and write and not just one or the other. A semi-literate person (one who can read, but cannot write) is said to be illiterate.\nIn the case where the survey asks only whether a person can read but does not ask if they can write, and in case there no information in the questionnaire about the reading and writing ability literacy cannot be determined, these are coded as missing.\nIf there are no questions about the read and write ability but the educational attainment is elementary or upper the individual is considered literate\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V57","name":"LITSP_3","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"99","var_end_pos":"99","var_width":"1","var_rec_seg_no":"1","labl":"Literacy status - third spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"All spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates whether the third spouse is literate (can read and write) or not","var_catgry":[{"value":"0","labl":"No","stats":null,"type":null},{"value":"1","labl":"Can read & write","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nA person is considered literate if they can both read and write and not just one or the other. A semi-literate person (one who can read, but cannot write) is said to be illiterate.\nIn the case where the survey asks only whether a person can read but does not ask if they can write, and in case there no information in the questionnaire about the reading and writing ability literacy cannot be determined, these are coded as missing.\nIf there are no questions about the read and write ability but the educational attainment is elementary or upper the individual is considered literate\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V58","name":"EDUSP_1","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"100","var_end_pos":"101","var_width":"2","var_rec_seg_no":"1","labl":"Educational level - first spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"All spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Highest level of education attained by the first spouse","var_catgry":[{"value":"1","labl":"None","stats":null,"type":null},{"value":"2","labl":"Primary","stats":null,"type":null},{"value":"3","labl":"Lower secondary","stats":null,"type":null},{"value":"4","labl":"Secondary","stats":null,"type":null},{"value":"5","labl":"Post secondary or equivalent","stats":null,"type":null},{"value":"6","labl":"University","stats":null,"type":null},{"value":"7","labl":"Postgraduate","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nPrimary corresponds to elementary, and lower secondary to preparatory\/second stage of basic education  \nIn case there is no distinction in the survey between primary and preparatory education level and the individual is not currently enrolled in school we consider his education level primary \nIf there is no information on highest level of education completed, the variable can be constructed using diploma level and\/or years of education. The selection of the variable must be based on a careful review of the data.\nWhen using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attending minus one (1).\nThis is country specific- not all countries require the same number of school years to complete a given level.\nThe value \"None\" does not mean that the person never attended school it means that the individual did not complete the first level of education (elementary) \nNone corresponds either to those currently enrolled in primary but didn't get the diploma or those illiterate, Read and Write, in informal school such as  Koranic school, traditional, vocational training  or adult etc.(cross tabulation with type of school will allow to identify those without education level)\nIf there is no question on highest level of education completed for those not attending school and there is no information on diploma and\/or years of education completed, then the variable cannot be constructed.\nUniversity education level refers to any higher education after successfully completing secondary level of education regardless of whether this was completed. \nNot stated is for cases where no education level is stated- this should be checked and avoided as much as possible. This classification should be documented.\nIf no information on the completeness of the education level, classify as incomplete and add specific comment to documentation.\nIf person is illiterate and there is no information on school level, use the code 1.\nIf there is no information on the literacy status all levels other than formal education grades and not stated can be coded 1 \"None\".\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V59","name":"EDUSP_2","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"102","var_end_pos":"103","var_width":"2","var_rec_seg_no":"1","labl":"Educational level - second spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"All spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Highest level of education attained by the second spouse","var_catgry":[{"value":"1","labl":"None","stats":null,"type":null},{"value":"2","labl":"Primary","stats":null,"type":null},{"value":"3","labl":"Lower secondary","stats":null,"type":null},{"value":"4","labl":"Secondary","stats":null,"type":null},{"value":"5","labl":"Post secondary or equivalent","stats":null,"type":null},{"value":"6","labl":"University","stats":null,"type":null},{"value":"7","labl":"Postgraduate","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nPrimary corresponds to elementary, and lower secondary to preparatory\/second stage of basic education  \nIn case there is no distinction in the survey between primary and preparatory education level and the individual is not currently enrolled in school we consider his education level primary \nIf there is no information on highest level of education completed, the variable can be constructed using diploma level and\/or years of education. The selection of the variable must be based on a careful review of the data.\nWhen using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attending minus one (1).\nThis is country specific- not all countries require the same number of school years to complete a given level.\nThe value \"None\" does not mean that the person never attended school it means that the individual did not complete the first level of education (elementary) \nNone corresponds either to those currently enrolled in primary but didn't get the diploma or those illiterate, Read and Write, in informal school such as  Koranic school, traditional, vocational training  or adult etc.(cross tabulation with type of school will allow to identify those without education level)\nIf there is no question on highest level of education completed for those not attending school and there is no information on diploma and\/or years of education completed, then the variable cannot be constructed.\nUniversity education level refers to any higher education after successfully completing secondary level of education regardless of whether this was completed. \nNot stated is for cases where no education level is stated- this should be checked and avoided as much as possible. This classification should be documented.\nIf no information on the completeness of the education level, classify as incomplete and add specific comment to documentation.\nIf person is illiterate and there is no information on school level, use the code 1.\nIf there is no information on the literacy status all levels other than formal education grades and not stated can be coded 1 \"None\".\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V60","name":"EDUSP_3","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"104","var_end_pos":"105","var_width":"2","var_rec_seg_no":"1","labl":"Educational level - third spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"All spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Highest level of education attained by the third spouse","var_catgry":[{"value":"1","labl":"None","stats":null,"type":null},{"value":"2","labl":"Primary","stats":null,"type":null},{"value":"3","labl":"Lower secondary","stats":null,"type":null},{"value":"4","labl":"Secondary","stats":null,"type":null},{"value":"5","labl":"Post secondary or equivalent","stats":null,"type":null},{"value":"6","labl":"University","stats":null,"type":null},{"value":"7","labl":"Postgraduate","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nPrimary corresponds to elementary, and lower secondary to preparatory\/second stage of basic education  \nIn case there is no distinction in the survey between primary and preparatory education level and the individual is not currently enrolled in school we consider his education level primary \nIf there is no information on highest level of education completed, the variable can be constructed using diploma level and\/or years of education. The selection of the variable must be based on a careful review of the data.\nWhen using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attending minus one (1).\nThis is country specific- not all countries require the same number of school years to complete a given level.\nThe value \"None\" does not mean that the person never attended school it means that the individual did not complete the first level of education (elementary) \nNone corresponds either to those currently enrolled in primary but didn't get the diploma or those illiterate, Read and Write, in informal school such as  Koranic school, traditional, vocational training  or adult etc.(cross tabulation with type of school will allow to identify those without education level)\nIf there is no question on highest level of education completed for those not attending school and there is no information on diploma and\/or years of education completed, then the variable cannot be constructed.\nUniversity education level refers to any higher education after successfully completing secondary level of education regardless of whether this was completed. \nNot stated is for cases where no education level is stated- this should be checked and avoided as much as possible. This classification should be documented.\nIf no information on the completeness of the education level, classify as incomplete and add specific comment to documentation.\nIf person is illiterate and there is no information on school level, use the code 1.\nIf there is no information on the literacy status all levels other than formal education grades and not stated can be coded 1 \"None\".\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V61","name":"MASSP_1","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"106","var_end_pos":"107","var_width":"2","var_rec_seg_no":"1","labl":"Main activity status - first spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"All spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Main activity status of the first spouse during the survey period","var_catgry":[{"value":"1","labl":"Employed","stats":null,"type":null},{"value":"2","labl":"Unemployed","stats":null,"type":null},{"value":"3","labl":"Homemaker (Housewife)","stats":null,"type":null},{"value":"4","labl":"Student","stats":null,"type":null},{"value":"5","labl":"Pensioners\/retired\/disabled","stats":null,"type":null},{"value":"6","labl":"Others","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe reference period might be the last 12 months or  the current time period.  \nUnlike PCLFS, the main distinction in PCMAS is between:\n- \u201cEmployed\u201d -those who, during the reference period, carried out ANY employment (any type or any extent) - even just one occasional hour of paid work or irregular unpaid family work (ILO definition).  Among the employed, the variable should distinguish, if available, between those employed at work and those on leave\n- \u201cNot Employed\u201d.  \nThe rationale is that individuals do not generally spend their time \u201cbeing unemployed\u201d, but use the time in unemployment to participate in other activities (e.g., attending school or being a housewife).  Unemployment will generally be considered the primary activity only if the individual states that unemployment is his\/her primary activity (e.g., unemployed and actively searching for a job) or if the individual is registered as unemployed and does not indicate significant participation in any other activity.  In these cases, the individuals will be assigned to their own category among the \u201cNot Employed\u201d.\nAccordingly, \"Not Employed\" are classified into:\n     - Unemployed - individuals who are not employed according to the definition above, and who report that they are unemployed. \n     - Not in Labor Force \/ Inactive \u2013 individuals identifiable as being neither employed nor unemployed, by the definitions above.  If possible, the inactive category should distinguish between the retired, students, and homemakers.\n     - Not Employed \/ Unemployed or Not in Labor Force - In some cases, it is not possible to distinguish between those who are unemployed and those who are inactive, but it is possible to determine that they are not employed.  In those cases where it is not feasible to determine unemployed versus inactive status, these individuals will be coded as \"Not Employed\".\nIn some surveys individuals are classified as employed students (or employed housewives) in that case they are considered as active in PCLFS and classified student (or housewives) in PCMAS. A cross tab between the two variables will permit to distinguish employed students (or housewives) from inactive ones.\nA proper documentation should particularly be done for those cases during harmonization process\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V62","name":"MASSP_2","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"108","var_end_pos":"109","var_width":"2","var_rec_seg_no":"1","labl":"Main activity status - second spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"All spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Main activity status of the second spouse during the survey period","var_catgry":[{"value":"1","labl":"Employed","stats":null,"type":null},{"value":"2","labl":"Unemployed","stats":null,"type":null},{"value":"3","labl":"Homemaker (Housewife)","stats":null,"type":null},{"value":"4","labl":"Student","stats":null,"type":null},{"value":"5","labl":"Pensioners\/retired\/disabled","stats":null,"type":null},{"value":"6","labl":"Others","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe reference period might be the last 12 months or  the current time period.  \nUnlike PCLFS, the main distinction in PCMAS is between:\n- \u201cEmployed\u201d -those who, during the reference period, carried out ANY employment (any type or any extent) - even just one occasional hour of paid work or irregular unpaid family work (ILO definition).  Among the employed, the variable should distinguish, if available, between those employed at work and those on leave\n- \u201cNot Employed\u201d.  \nThe rationale is that individuals do not generally spend their time \u201cbeing unemployed\u201d, but use the time in unemployment to participate in other activities (e.g., attending school or being a housewife).  Unemployment will generally be considered the primary activity only if the individual states that unemployment is his\/her primary activity (e.g., unemployed and actively searching for a job) or if the individual is registered as unemployed and does not indicate significant participation in any other activity.  In these cases, the individuals will be assigned to their own category among the \u201cNot Employed\u201d.\nAccordingly, \"Not Employed\" are classified into:\n     - Unemployed - individuals who are not employed according to the definition above, and who report that they are unemployed. \n     - Not in Labor Force \/ Inactive \u2013 individuals identifiable as being neither employed nor unemployed, by the definitions above.  If possible, the inactive category should distinguish between the retired, students, and homemakers.\n     - Not Employed \/ Unemployed or Not in Labor Force - In some cases, it is not possible to distinguish between those who are unemployed and those who are inactive, but it is possible to determine that they are not employed.  In those cases where it is not feasible to determine unemployed versus inactive status, these individuals will be coded as \"Not Employed\".\nIn some surveys individuals are classified as employed students (or employed housewives) in that case they are considered as active in PCLFS and classified student (or housewives) in PCMAS. A cross tab between the two variables will permit to distinguish employed students (or housewives) from inactive ones.\nA proper documentation should particularly be done for those cases during harmonization process\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V63","name":"MASSP_3","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"110","var_end_pos":"111","var_width":"2","var_rec_seg_no":"1","labl":"Main activity status - third spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"All spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Main activity status of the third spouse during the survey period","var_catgry":[{"value":"1","labl":"Employed","stats":null,"type":null},{"value":"2","labl":"Unemployed","stats":null,"type":null},{"value":"3","labl":"Homemaker (Housewife)","stats":null,"type":null},{"value":"4","labl":"Student","stats":null,"type":null},{"value":"5","labl":"Pensioners\/retired\/disabled","stats":null,"type":null},{"value":"6","labl":"Others","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe reference period might be the last 12 months or  the current time period.  \nUnlike PCLFS, the main distinction in PCMAS is between:\n- \u201cEmployed\u201d -those who, during the reference period, carried out ANY employment (any type or any extent) - even just one occasional hour of paid work or irregular unpaid family work (ILO definition).  Among the employed, the variable should distinguish, if available, between those employed at work and those on leave\n- \u201cNot Employed\u201d.  \nThe rationale is that individuals do not generally spend their time \u201cbeing unemployed\u201d, but use the time in unemployment to participate in other activities (e.g., attending school or being a housewife).  Unemployment will generally be considered the primary activity only if the individual states that unemployment is his\/her primary activity (e.g., unemployed and actively searching for a job) or if the individual is registered as unemployed and does not indicate significant participation in any other activity.  In these cases, the individuals will be assigned to their own category among the \u201cNot Employed\u201d.\nAccordingly, \"Not Employed\" are classified into:\n     - Unemployed - individuals who are not employed according to the definition above, and who report that they are unemployed. \n     - Not in Labor Force \/ Inactive \u2013 individuals identifiable as being neither employed nor unemployed, by the definitions above.  If possible, the inactive category should distinguish between the retired, students, and homemakers.\n     - Not Employed \/ Unemployed or Not in Labor Force - In some cases, it is not possible to distinguish between those who are unemployed and those who are inactive, but it is possible to determine that they are not employed.  In those cases where it is not feasible to determine unemployed versus inactive status, these individuals will be coded as \"Not Employed\".\nIn some surveys individuals are classified as employed students (or employed housewives) in that case they are considered as active in PCLFS and classified student (or housewives) in PCMAS. A cross tab between the two variables will permit to distinguish employed students (or housewives) from inactive ones.\nA proper documentation should particularly be done for those cases during harmonization process\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V64","name":"EMSSP_1","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"112","var_end_pos":"113","var_width":"2","var_rec_seg_no":"1","labl":"Status of Employment - first spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Active spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Detailed description of the employment status of the first spouse","var_catgry":[{"value":"1","labl":"Employee","stats":null,"type":null},{"value":"2","labl":"Employer","stats":null,"type":null},{"value":"3","labl":"Own-account, self-employed","stats":null,"type":null},{"value":"4","labl":"Contributing (unpaid) family worker","stats":null,"type":null},{"value":"5","labl":"Members of producers cooperatives","stats":null,"type":null},{"value":"6","labl":"Workers not classifiable by status (other)","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe lower age cutoff (and perhaps upper age cutoff) at which information is collected will vary from country to country. Definitions taken from the International Labor Organizations Classification of Status in Employment with some revisions to take into account the data available.\nEmployee includes anyone whose basic remuneration is not directly dependent on the revenue of the unit they work for, typically remunerated by wages and salaries but may be paid for piece work or in-kind. The continuous criteria used in the ILO definition is not used here as data are often absent and due to country specificity.\nPublic includes quasi-government organizations.\nEmployer is a business owner (whether alone or in partnership) with employees. If the only people working in the business are the owner and contributing family workers, the person is not considered an employer (as has no employees) and is, instead classified as own account.\nOwn account or self-employment: jobs are those where remuneration is directly dependent from the goods and service produced (where home consumption is considered to be part of the profits) and have not engaged any permanent employees to work for them on a continuous basis during the reference period.\nMembers of producers cooperatives are workers who hold a self-employment job in a cooperative producing goods and services .\nContributing family workers are those workers who hold a self-employment job in a market-oriented establishment operated by a related person living in the same households who cannot be regarded as a partner because of their degree of commitment to the operation of the establishment, in terms of working time or other factors, is not at a level comparable to that of the head of the establishment.\nWorkers not classifiable by status (code 6) include those for whom insufficient relevant information is available and\/or who cannot be included in any of the preceding categories. \nThe variable should generally cover the active sample (employed and unemployed).\nActive sample reported as \"not stated (code 99)\" should normally include employed for whom the status was not identified and unemployed if status in last job is not reported. \n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V65","name":"EMSSP_2","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"114","var_end_pos":"115","var_width":"2","var_rec_seg_no":"1","labl":"Status of Employment - second spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Active spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Detailed description of the employment status of the second spouse","var_catgry":[{"value":"1","labl":"Employee","stats":null,"type":null},{"value":"2","labl":"Employer","stats":null,"type":null},{"value":"3","labl":"Own-account, self-employed","stats":null,"type":null},{"value":"4","labl":"Contributing (unpaid) family worker","stats":null,"type":null},{"value":"5","labl":"Members of producers cooperatives","stats":null,"type":null},{"value":"6","labl":"Workers not classifiable by status (other)","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe lower age cutoff (and perhaps upper age cutoff) at which information is collected will vary from country to country. Definitions taken from the International Labor Organizations Classification of Status in Employment with some revisions to take into account the data available.\nEmployee includes anyone whose basic remuneration is not directly dependent on the revenue of the unit they work for, typically remunerated by wages and salaries but may be paid for piece work or in-kind. The continuous criteria used in the ILO definition is not used here as data are often absent and due to country specificity.\nPublic includes quasi-government organizations.\nEmployer is a business owner (whether alone or in partnership) with employees. If the only people working in the business are the owner and contributing family workers, the person is not considered an employer (as has no employees) and is, instead classified as own account.\nOwn account or self-employment: jobs are those where remuneration is directly dependent from the goods and service produced (where home consumption is considered to be part of the profits) and have not engaged any permanent employees to work for them on a continuous basis during the reference period.\nMembers of producers cooperatives are workers who hold a self-employment job in a cooperative producing goods and services .\nContributing family workers are those workers who hold a self-employment job in a market-oriented establishment operated by a related person living in the same households who cannot be regarded as a partner because of their degree of commitment to the operation of the establishment, in terms of working time or other factors, is not at a level comparable to that of the head of the establishment.\nWorkers not classifiable by status (code 6) include those for whom insufficient relevant information is available and\/or who cannot be included in any of the preceding categories. \nThe variable should generally cover the active sample (employed and unemployed).\nActive sample reported as \"not stated (code 99)\" should normally include employed for whom the status was not identified and unemployed if status in last job is not reported. \n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V66","name":"EMSSP_3","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"116","var_end_pos":"117","var_width":"2","var_rec_seg_no":"1","labl":"Status of Employment - third spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Active spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Detailed description of the employment status of the third spouse","var_catgry":[{"value":"1","labl":"Employee","stats":null,"type":null},{"value":"2","labl":"Employer","stats":null,"type":null},{"value":"3","labl":"Own-account, self-employed","stats":null,"type":null},{"value":"4","labl":"Contributing (unpaid) family worker","stats":null,"type":null},{"value":"5","labl":"Members of producers cooperatives","stats":null,"type":null},{"value":"6","labl":"Workers not classifiable by status (other)","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe lower age cutoff (and perhaps upper age cutoff) at which information is collected will vary from country to country. Definitions taken from the International Labor Organizations Classification of Status in Employment with some revisions to take into account the data available.\nEmployee includes anyone whose basic remuneration is not directly dependent on the revenue of the unit they work for, typically remunerated by wages and salaries but may be paid for piece work or in-kind. The continuous criteria used in the ILO definition is not used here as data are often absent and due to country specificity.\nPublic includes quasi-government organizations.\nEmployer is a business owner (whether alone or in partnership) with employees. If the only people working in the business are the owner and contributing family workers, the person is not considered an employer (as has no employees) and is, instead classified as own account.\nOwn account or self-employment: jobs are those where remuneration is directly dependent from the goods and service produced (where home consumption is considered to be part of the profits) and have not engaged any permanent employees to work for them on a continuous basis during the reference period.\nMembers of producers cooperatives are workers who hold a self-employment job in a cooperative producing goods and services .\nContributing family workers are those workers who hold a self-employment job in a market-oriented establishment operated by a related person living in the same households who cannot be regarded as a partner because of their degree of commitment to the operation of the establishment, in terms of working time or other factors, is not at a level comparable to that of the head of the establishment.\nWorkers not classifiable by status (code 6) include those for whom insufficient relevant information is available and\/or who cannot be included in any of the preceding categories. \nThe variable should generally cover the active sample (employed and unemployed).\nActive sample reported as \"not stated (code 99)\" should normally include employed for whom the status was not identified and unemployed if status in last job is not reported. \n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V67","name":"TYPEWKSP_1","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"118","var_end_pos":"119","var_width":"2","var_rec_seg_no":"1","labl":"Sector of employment - first spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Active spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Sector of employment of the first spouse","var_catgry":[{"value":"1","labl":"Government","stats":null,"type":null},{"value":"2","labl":"Public sector","stats":null,"type":null},{"value":"3","labl":"Private sector","stats":null,"type":null},{"value":"4","labl":"Joint\/Cooperative","stats":null,"type":null},{"value":"5","labl":"Foreign sector","stats":null,"type":null},{"value":"6","labl":"Other","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nCooperative includes also employee in joint ventures.\nOther include workers in national NGOs and in private households\nForeign includes workers in international NGOs \nQuai public sectors are considered as public. In case there is no distinction between Government and public (the survey mixes both categories)  we use the classification used in the original data.\nThe variable should generally cover the active sample (employed and unemployed).\nActive sample reported as \"not stated (code 99)\" should normally include employed for whom the sector was not identified and unemployed if sector of last job is not reported. \n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V68","name":"TYPEWKSP_2","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"120","var_end_pos":"121","var_width":"2","var_rec_seg_no":"1","labl":"Sector of employment - second spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Active spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Sector of employment of the second spouse","var_catgry":[{"value":"1","labl":"Government","stats":null,"type":null},{"value":"2","labl":"Public sector","stats":null,"type":null},{"value":"3","labl":"Private sector","stats":null,"type":null},{"value":"4","labl":"Joint\/Cooperative","stats":null,"type":null},{"value":"5","labl":"Foreign sector","stats":null,"type":null},{"value":"6","labl":"Other","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nCooperative includes also employee in joint ventures.\nOther include workers in national NGOs and in private households\nForeign includes workers in international NGOs \nQuai public sectors are considered as public. In case there is no distinction between Government and public (the survey mixes both categories)  we use the classification used in the original data.\nThe variable should generally cover the active sample (employed and unemployed).\nActive sample reported as \"not stated (code 99)\" should normally include employed for whom the sector was not identified and unemployed if sector of last job is not reported. \n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V69","name":"TYPEWKSP_3","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"122","var_end_pos":"123","var_width":"2","var_rec_seg_no":"1","labl":"Sector of employment - third spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Active spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Sector of employment of the third spouse","var_catgry":[{"value":"1","labl":"Government","stats":null,"type":null},{"value":"2","labl":"Public sector","stats":null,"type":null},{"value":"3","labl":"Private sector","stats":null,"type":null},{"value":"4","labl":"Joint\/Cooperative","stats":null,"type":null},{"value":"5","labl":"Foreign sector","stats":null,"type":null},{"value":"6","labl":"Other","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nCooperative includes also employee in joint ventures.\nOther include workers in national NGOs and in private households\nForeign includes workers in international NGOs \nQuai public sectors are considered as public. In case there is no distinction between Government and public (the survey mixes both categories)  we use the classification used in the original data.\nThe variable should generally cover the active sample (employed and unemployed).\nActive sample reported as \"not stated (code 99)\" should normally include employed for whom the sector was not identified and unemployed if sector of last job is not reported. \n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V70","name":"OCCSP_1","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"124","var_end_pos":"125","var_width":"2","var_rec_seg_no":"1","labl":"Classification of Occupations for main job - first spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Active spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"International Standard Occupational classification of the main (current or last held) job of the first spouse, with as much detail as possible (ideally 4-digit ISCO-88 or 08 if available in original survey)  detail as possible (ideally 4-digit ISCO-88 or 08 if available in original survey)","var_catgry":[{"value":"1","labl":"Legislators, senior officials and managers","stats":null,"type":null},{"value":"2","labl":"Professionals","stats":null,"type":null},{"value":"3","labl":"Technicians and associate professionals","stats":null,"type":null},{"value":"4","labl":"Clerks","stats":null,"type":null},{"value":"5","labl":"Service workers and shop and market sales","stats":null,"type":null},{"value":"6","labl":"Skilled agricultural and fishery workers","stats":null,"type":null},{"value":"7","labl":"Craft and related trades","stats":null,"type":null},{"value":"8","labl":"Plant and machine operators and assemblers","stats":null,"type":null},{"value":"9","labl":"Elementary occupations","stats":null,"type":null},{"value":"11","labl":"Other\/unspecified","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe lower age cut-off (and perhaps upper age cut-off) at which information is collected will vary from country to country.\nClassifies the main job of any individual with a job (EMPLOYED=1) and is missing otherwise. As most surveys collected detailed information and then coded it using national classifications, and the original data is not in the data bases, no attempt has been made to correct or check the original coding.\nThe variable should generally cover the active sample (employed and unemployed).\nActive sample reported as \"not stated (code 99)\" should normally include employed for whom the occupation was not identified and unemployed if occupation in last job is not reported. \n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V71","name":"OCCSP_2","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"126","var_end_pos":"127","var_width":"2","var_rec_seg_no":"1","labl":"Classification of Occupations for main job - second spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Active spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"International Standard Occupational classification of the main (current or last held) job of the second spouse, with as much detail as possible (ideally 4-digit ISCO-88 or 08 if available in original survey)  detail as possible (ideally 4-digit ISCO-88 or 08 if available in original survey)","var_catgry":[{"value":"1","labl":"Legislators, senior officials and managers","stats":null,"type":null},{"value":"2","labl":"Professionals","stats":null,"type":null},{"value":"3","labl":"Technicians and associate professionals","stats":null,"type":null},{"value":"4","labl":"Clerks","stats":null,"type":null},{"value":"5","labl":"Service workers and shop and market sales","stats":null,"type":null},{"value":"6","labl":"Skilled agricultural and fishery workers","stats":null,"type":null},{"value":"7","labl":"Craft and related trades","stats":null,"type":null},{"value":"8","labl":"Plant and machine operators and assemblers","stats":null,"type":null},{"value":"9","labl":"Elementary occupations","stats":null,"type":null},{"value":"11","labl":"Other\/unspecified","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe lower age cut-off (and perhaps upper age cut-off) at which information is collected will vary from country to country.\nClassifies the main job of any individual with a job (EMPLOYED=1) and is missing otherwise. As most surveys collected detailed information and then coded it using national classifications, and the original data is not in the data bases, no attempt has been made to correct or check the original coding.\nThe variable should generally cover the active sample (employed and unemployed).\nActive sample reported as \"not stated (code 99)\" should normally include employed for whom the occupation was not identified and unemployed if occupation in last job is not reported. \n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V72","name":"OCCSP_3","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"128","var_end_pos":"129","var_width":"2","var_rec_seg_no":"1","labl":"Classification of Occupations for main job - third spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Active spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"International Standard Occupational classification of the main (current or last held) job of the third spouse, with as much detail as possible (ideally 4-digit ISCO-88 or 08 if available in original survey)  detail as possible (ideally 4-digit ISCO-88 or 08 if available in original survey)","var_catgry":[{"value":"1","labl":"Legislators, senior officials and managers","stats":null,"type":null},{"value":"2","labl":"Professionals","stats":null,"type":null},{"value":"3","labl":"Technicians and associate professionals","stats":null,"type":null},{"value":"4","labl":"Clerks","stats":null,"type":null},{"value":"5","labl":"Service workers and shop and market sales","stats":null,"type":null},{"value":"6","labl":"Skilled agricultural and fishery workers","stats":null,"type":null},{"value":"7","labl":"Craft and related trades","stats":null,"type":null},{"value":"8","labl":"Plant and machine operators and assemblers","stats":null,"type":null},{"value":"9","labl":"Elementary occupations","stats":null,"type":null},{"value":"11","labl":"Other\/unspecified","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe lower age cut-off (and perhaps upper age cut-off) at which information is collected will vary from country to country.\nClassifies the main job of any individual with a job (EMPLOYED=1) and is missing otherwise. As most surveys collected detailed information and then coded it using national classifications, and the original data is not in the data bases, no attempt has been made to correct or check the original coding.\nThe variable should generally cover the active sample (employed and unemployed).\nActive sample reported as \"not stated (code 99)\" should normally include employed for whom the occupation was not identified and unemployed if occupation in last job is not reported. \n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V73","name":"INDSP_1","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"130","var_end_pos":"131","var_width":"2","var_rec_seg_no":"1","labl":"International Standard Industrial Classification of main job - first spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Active spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Industry classification of the main (current or last held) job of the first spouse, with as much detail as possible","var_catgry":[{"value":"1","labl":"Agriculture and Fishing","stats":null,"type":null},{"value":"2","labl":"Mining","stats":null,"type":null},{"value":"3","labl":"Manufacturing","stats":null,"type":null},{"value":"4","labl":"Electricity and Utilities","stats":null,"type":null},{"value":"5","labl":"Construction","stats":null,"type":null},{"value":"6","labl":"Commerce","stats":null,"type":null},{"value":"7","labl":"Transportation, Storage and Communication","stats":null,"type":null},{"value":"8","labl":"Financial, Insurance and Real Estate","stats":null,"type":null},{"value":"9","labl":"Public Administration","stats":null,"type":null},{"value":"10","labl":"Other Services","stats":null,"type":null},{"value":"11","labl":"Unspecified","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIn many datasets national classifications are used.\nThe variable should generally cover the active sample (employed and unemployed).\nActive sample reported as \"not stated (code 99)\" should normally include employed for whom the inductry was not identified and unemployed if industry of last job is not reported. \n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V74","name":"INDSP_2","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"132","var_end_pos":"133","var_width":"2","var_rec_seg_no":"1","labl":"International Standard Industrial Classification of main job - second spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Active spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Industry classification of the main (current or last held) job of the second spouse, with as much detail as possible","var_catgry":[{"value":"1","labl":"Agriculture and Fishing","stats":null,"type":null},{"value":"2","labl":"Mining","stats":null,"type":null},{"value":"3","labl":"Manufacturing","stats":null,"type":null},{"value":"4","labl":"Electricity and Utilities","stats":null,"type":null},{"value":"5","labl":"Construction","stats":null,"type":null},{"value":"6","labl":"Commerce","stats":null,"type":null},{"value":"7","labl":"Transportation, Storage and Communication","stats":null,"type":null},{"value":"8","labl":"Financial, Insurance and Real Estate","stats":null,"type":null},{"value":"9","labl":"Public Administration","stats":null,"type":null},{"value":"10","labl":"Other Services","stats":null,"type":null},{"value":"11","labl":"Unspecified","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIn many datasets national classifications are used.\nThe variable should generally cover the active sample (employed and unemployed).\nActive sample reported as \"not stated (code 99)\" should normally include employed for whom the inductry was not identified and unemployed if industry of last job is not reported. \n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V75","name":"INDSP_3","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"134","var_end_pos":"135","var_width":"2","var_rec_seg_no":"1","labl":"International Standard Industrial Classification of main job - 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Ideally, corresponds to Code 01 of the COICOP classification (SUM of 01).","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nAll food expenditures include also own grown products expenses and gifts\/in-kind received food. Expenses on take away food and meals taken in restaurants are included under code 11\n= TOTPFOOD+TOTOWNP+TOTGIKD\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V77","name":"CEREXP","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"142","var_end_pos":"146","var_width":"5","var_rec_seg_no":"1","labl":"Purchased Bread and Cereals","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n=RICE+GRAIN+BREAD+PAST+CERPRE\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V78","name":"RICE","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"147","var_end_pos":"150","var_width":"4","var_rec_seg_no":"1","labl":"Rice expenditures","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Expenditures on rice in all forms","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nPurchased only\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V79","name":"GRAIN","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"151","var_end_pos":"154","var_width":"4","var_rec_seg_no":"1","labl":"Grains and flour expenditures","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Wheat, Maize, Barely and all cereals in the grain or flour form","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nPurchased only\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V80","name":"BREAD","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"155","var_end_pos":"159","var_width":"5","var_rec_seg_no":"1","labl":"Bread and cakes","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Bread in all forms, biscuits, cakes pizza..","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nPurchased only\n\n\nCOUNTRY SPECIFIC 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NOTES\n----------------------------------","fid":"F1"},{"vid":"V82","name":"CERPRE","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"164","var_end_pos":"167","var_width":"4","var_rec_seg_no":"1","labl":"Cereal preparation","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Cornflakes, malt, tapioca..","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nPurchased only\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V83","name":"CEROWN","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"168","var_end_pos":"171","var_width":"4","var_rec_seg_no":"1","labl":"Own-Produced Bread and Cereals","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V84","name":"MEATEXP","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"172","var_end_pos":"177","var_width":"6","var_rec_seg_no":"1","labl":"Purchased Meat and Poultry","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n=SMEAT+CMEAT+OMEAT+CHMEAT+LMEAT\n\n\nCOUNTRY SPECIFIC 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NOTES\n----------------------------------","fid":"F1"},{"vid":"V86","name":"CMEAT","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"184","var_end_pos":"188","var_width":"5","var_rec_seg_no":"1","labl":"Cow meat expenditures","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Fresh frozen and tinned cow meat","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nPurchased only\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V87","name":"OMEAT","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"189","var_end_pos":"193","var_width":"5","var_rec_seg_no":"1","labl":"Other meat expenditures","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Fresh frozen and tinned camel, rabbit, pork etc. meat","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nPurchased only\n\n\nCOUNTRY SPECIFIC 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NOTES\n----------------------------------","fid":"F1"},{"vid":"V91","name":"FSHSEAEXP","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"208","var_end_pos":"211","var_width":"4","var_rec_seg_no":"1","labl":"Purchased Fish and Seafood","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n=FISH+SEAF\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V92","name":"FISH","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"212","var_end_pos":"215","var_width":"4","var_rec_seg_no":"1","labl":"Fish expenditures","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Fresh and frozen fish expenditures, Tuna, sardines and tinned fish also smoked, salted, dried and processed fish","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nPurchased only\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V93","name":"SEAF","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"216","var_end_pos":"219","var_width":"4","var_rec_seg_no":"1","labl":"Seafood expenditures","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Fresh, frozen and proceed seafood","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nPurchased only\n\n\nCOUNTRY SPECIFIC 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Ideally, corresponds to Code 02 of the COICOP classification (SUM of 02).","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n=ALC+TOB\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V123","name":"ALC","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"334","var_end_pos":"337","var_width":"4","var_rec_seg_no":"1","labl":"Alcoholic expenditures","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Expenses on alcoholic beverages, spirits, wine, beer..","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V124","name":"TOB","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"338","var_end_pos":"342","var_width":"5","var_rec_seg_no":"1","labl":"Tobacco expenditures","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Expenses on tobacco, cigarettes, etc.","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V125","name":"APPEXP","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"343","var_end_pos":"347","var_width":"5","var_rec_seg_no":"1","labl":"Clothing and footwear","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Expenses on clothing and footwear. Ideally, corresponds to Code 03 of the COICOP classification.","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n=CLOTH+MCLO+CHAR+FOOTW+SCHCLTH\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V126","name":"CLOTH","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"348","var_end_pos":"352","var_width":"5","var_rec_seg_no":"1","labl":"Clothes for men, women and children","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Garments, dresses, shirts, blouse, capes, coats for men, women and children. Excluding school clothes and uniforms","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIn some countries, we have observations on own-produced clothes, but since these are very small amounts, they are lumped with purchased\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V127","name":"MCLO","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"353","var_end_pos":"356","var_width":"4","var_rec_seg_no":"1","labl":"Clothing material","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Clothing material of all kind of fibers, tailoring and accessories","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V128","name":"CHAR","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"357","var_end_pos":"361","var_width":"5","var_rec_seg_no":"1","labl":"Tailoring charges","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"All tailoring, cleaning, repairing charges of clothes","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V129","name":"FOOTW","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"362","var_end_pos":"365","var_width":"4","var_rec_seg_no":"1","labl":"Footwear expenditures","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Shoes, sandals, boots and slipper for men and women, excluding those for school","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIncludes repairing and hire charges\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V130","name":"SCHCLTH","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"366","var_end_pos":"369","var_width":"4","var_rec_seg_no":"1","labl":"School Clothes, Uniforms and Footwear","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V131","name":"HOUSEXP","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"370","var_end_pos":"374","var_width":"5","var_rec_seg_no":"1","labl":"Housing and utilities","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Expenses on housing (actual and imputed rentals and maintenance and repair of the dwelling), water (water supply and miscellaneous services relating to the dwelling), electricity, gas and other fuels. Renovation costs as well as expenditure on furniture are excluded, as well as expenditure on mortgage (both the capital and interest part). Ideally, corresponds to Code 04 of the COICOP classification.","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n=ARHOUS+IMPREN+REPDW+WDWE+EDWE\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V132","name":"ARHOUS","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"375","var_end_pos":"383","var_width":"9","var_rec_seg_no":"1","labl":"Actual rentals for housing","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Actual rentals paid by tenants and other actual rentals","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nRentals include payment for the use of the land on which the property stands, the dwelling occupied , the fixtures and fittings for heating, plumbing, lighting, etc., and, in the case of a dwelling let furnished, the furniture.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\n\u2022 Actual and Imputed rent were computed from original survey  household data (H7, H8) and rents paid in Jordanian Dinar or US Dollars were converted to NIS using currency transfer rates as per 31\/12\/2007.","fid":"F1"},{"vid":"V133","name":"IMPREN","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"384","var_end_pos":"391","var_width":"8","var_rec_seg_no":"1","labl":"Imputed rentals for housing","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Imputed rentals of owners occupying their main residence and other imputed rentals","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIncludes also imputed rentals for secondary residences and imputed rentals of households paying a reduced rental or housed free.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\n\u2022 Actual and Imputed rent were computed from original survey  household data (H7, H8) and rents paid in Jordanian Dinar or US Dollars were converted to NIS using currency transfer rates as per 31\/12\/2007.","fid":"F1"},{"vid":"V134","name":"REPDW","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"392","var_end_pos":"395","var_width":"4","var_rec_seg_no":"1","labl":"Maintenance and repair for the Dwelling","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Materials and services for the maintenance and repair of the dwelling","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nOnly expenditures which tenants and owner-occupiers incur on materials and services for minor maintenance and repair are part of individual consumption expenditure of households. Renovation costs as well as expenditure on materials and services for major maintenance and repair are excluded, as well as expenditure on mortgage (both the capital and interest part). \nConsidered as expenses on non-durables\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V135","name":"WDWE","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"396","var_end_pos":"400","var_width":"5","var_rec_seg_no":"1","labl":"Water supply and miscellaneous services relating to the dwelling","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Water supply, refuse collection, sewage collection and others","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIncludes also co-proprietor charges for caretaking, gardening, heating and lighting, etc. in multi-occupied buildings; security services\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V136","name":"EDWE","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"401","var_end_pos":"405","var_width":"5","var_rec_seg_no":"1","labl":"Electricity, gas and other fuels","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Electricity, Gas, Liquid and solid fuels, Heat energy","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThose 2 codes (2231,2232)-in original survey data-\n represent expenditure on own-produced Wood and coal. Their values were added to EDWE (Electricity, gas and other fuels).","fid":"F1"},{"vid":"V137","name":"EQUIPEXP","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"406","var_end_pos":"410","var_width":"5","var_rec_seg_no":"1","labl":"Furniture & Housing equipment","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Expenses on furnishings (furniture and furnishings, carpets and other floor coverings), household equipment (household textiles, household appliances, glassware, tableware and household utensils, tools and equipment for house and garden) and goods and services for routine household maintenance. Ideally, corresponds to Code 05 of the COICOP classification.","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n=HSFUR+FURREP+HSTEX+MHAPL+SHAPL+RAPPL+HUST+MHOPE+SHOPE+HSGS\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V138","name":"HSFUR","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"411","var_end_pos":"415","var_width":"5","var_rec_seg_no":"1","labl":"Housing furnishings and furniture","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Furniture and furnishings, carpets and other floor coverings","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nBeds, sofas, couches, tables, chairs, etc., lighting equipment, pictures, sculptures, screens, loose and fitted carpets, etc.\nDurables\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V139","name":"FURREP","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"416","var_end_pos":"419","var_width":"4","var_rec_seg_no":"1","labl":"Housing furnishings and furniture repair","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Furniture and furnishings repair","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThis variable includes repair of furniture and furnishings\nNon-Durable\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V140","name":"HSTEX","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"420","var_end_pos":"424","var_width":"5","var_rec_seg_no":"1","labl":"Household textiles","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Furnishing fabrics, bedding, bed linen table linen and bathroom linen and repair of such articles.","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nNon durables\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V141","name":"MHAPL","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"425","var_end_pos":"429","var_width":"5","var_rec_seg_no":"1","labl":"Major Household appliances","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Major household appliances whether electric or not","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nRefrigerators, freezers and fridge-freezers;\n- washing machines, dryers, drying cabinets, dishwashers, ironing and pressing machines;\n- cookers, spit roasters, hobs, ranges, ovens and microwave ovens;\n- air-conditioners, humidifiers, space heaters, water heaters, ventilators and extractor hoods;\n- vacuum cleaners, steam-cleaning machines, carpet shampooing machines and machines for scrubbing, waxing and polishing floors;\n- other major household appliances such as safes, sewing machines, knitting machines, water softeners, etc.\nIncludes: delivery and installation of the appliances when applicable.\nExcludes: such appliances that are built into the structure of the building \nConsidered as expenses on durables\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V142","name":"SHAPL","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"430","var_end_pos":"433","var_width":"4","var_rec_seg_no":"1","labl":"Small Household appliances","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Small electric appliances","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nCoffee mills, coffee-makers, juice extractors, can-openers, food mixers, deep fryers, meat grills, knives, toasters, ice cream makers, hotplates, irons, electric blankets, etc. \nExcludes: small non-electric household articles and kitchen utensils etc.\nNon-durables\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V143","name":"RAPPL","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"434","var_end_pos":"436","var_width":"3","var_rec_seg_no":"1","labl":"Repair of appliances","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nTotal value of the service (that is, both the cost of labour and the cost of materials are covered); charges for the leasing or rental of major household appliances.\nExcludes: separate purchases of materials made by households with the intention of undertaking the repair themselves \nNon-durables\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V144","name":"HUST","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"437","var_end_pos":"440","var_width":"4","var_rec_seg_no":"1","labl":"Glassware, tableware and household utensils","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Glassware, crystal and ceramic ware, non-electric kitchen utensils etc. and their repair","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nNon-durables\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V145","name":"MHOPE","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"441","var_end_pos":"444","var_width":"4","var_rec_seg_no":"1","labl":"Major other housing equipment and operation","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Major tools and equipment for house and garden,","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nMotorized tools and equipment such as electric drills, saws, sanders and hedge cutters, garden tractors, lawnmowers, cultivators, chainsaws and water pumps;\n- repair of such articles.\nIncludes: charges for the leasing or rental of do-it-yourself machinery and equipment.\nConsidered as expenses on durables\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V146","name":"SHOPE","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"445","var_end_pos":"448","var_width":"4","var_rec_seg_no":"1","labl":"Small other housing equipment and operation","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Small tools and miscellaneous accessories","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nHand tools, garden tools, small electric accessories and their repair \nNon-durables\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V147","name":"HSGS","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"449","var_end_pos":"453","var_width":"5","var_rec_seg_no":"1","labl":"Goods and services for routine household maintenance","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Non-durable household goods and domestic services","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n Cleaning products such as soaps, washing powder etc. \nDomestic & cleaning services such as cooks, maids, drivers, gardeners, dry clean etc. \nNon-durables\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V148","name":"MEDEXP","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"454","var_end_pos":"458","var_width":"5","var_rec_seg_no":"1","labl":"Health","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Expenses on health, including medical products, appliances and equipment, outpatient services, and hospital services. Payments for health insurances are excluded. Ideally, corresponds to Code 06 of the COICOP classification.","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n=PMEDP+TAEQ+MEDSERV+MEDABR\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V149","name":"PMEDP","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"459","var_end_pos":"463","var_width":"5","var_rec_seg_no":"1","labl":"Pharmaceutical and other medical products","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Medicinal preparations, drugs, vaccines, vitamins etc. and clinical thermometers, adhesive etc.","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThey are intended for consumption or use outside a health facility or institution. \nnon-durables\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V150","name":"TAEQ","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"464","var_end_pos":"468","var_width":"5","var_rec_seg_no":"1","labl":"Therapeutic appliances and equipment","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Corrective eyeglasses and contact lenses, hearing aids, glass eyes, artificial limbs and other prosthetic devices, orthopedic braces and supports, orthopedic footwear, surgical belts, trusses and supports, neck braces, medical massage equipment and health lamps, powered and unpowered wheelchairs and invalid carriages, \"special\" beds, crutches, electronic and other devices for monitoring blood pressure, etc.;","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThey are intended for consumption or use outside a health facility or institution. \ndurables\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V151","name":"MEDSERV","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"469","var_end_pos":"473","var_width":"5","var_rec_seg_no":"1","labl":"Outpatient and Hospital services","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Medical, dental and paramedical services delivered to outpatients by medical, dental and paramedical practitioners and auxiliaries.\nServices of general and specialist hospitals, the services of medical centers, maternity centers, nursing homes and convalescent homes which chiefly provide in-patient health care, the services of institutions serving old people in which medical monitoring is an essential component and the services of rehabilitation centers providing in-patient health care and rehabilitative therapy where the objective is to treat the patient rather than to provide long-term support","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe services may be delivered at home, in individual or group consulting facilities, dispensaries or the outpatient clinics of hospitals and the like.\nHospital day-care and home-based hospital treatment are included as are hospices for terminally ill persons.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V152","name":"MEDABR","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"474","var_end_pos":"478","var_width":"5","var_rec_seg_no":"1","labl":"Expenses on medical services Abroad","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Includes all expenses on trips for medical\/therapy purposes other than those spent on transportation or accommodation","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V153","name":"TRANEXP","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"479","var_end_pos":"484","var_width":"6","var_rec_seg_no":"1","labl":"Transport","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Expenses on transport, including purchase of vehicles, operation of personal transport equipment, and transport services. Ideally, corresponds to Code 07 of the COICOP classification.","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n=TRVEH+OTEQ+TRSERV+SCHSERV\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V154","name":"TRVEH","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"485","var_end_pos":"490","var_width":"6","var_rec_seg_no":"1","labl":"Purchase of transportation vehicles","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Purchase of car, bicycles and animal trucked vehicles","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nExcludes purchases of recreational vehicles such as camper vans, caravans, trailers, and boats \nDurable\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V155","name":"OTEQ","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"491","var_end_pos":"495","var_width":"5","var_rec_seg_no":"1","labl":"Operation of personal transport equipment","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Fuels, petrol and purchases of spare parts, accessories or lubricants made by households with the intention of undertaking the maintenance, repair or intervention and services paid to enterprise for carrying out the maintenance, repair or fitting","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V156","name":"TRSERV","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"496","var_end_pos":"500","var_width":"5","var_rec_seg_no":"1","labl":"Transportation services","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Transportation by railway, road, air, sea and any other than school transport services","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nAmbulance services are excluded \n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V157","name":"SCHSERV","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"501","var_end_pos":"505","var_width":"5","var_rec_seg_no":"1","labl":"School Transportation services","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIn some surveys, expenses on school transportation services might be lumped with transport services or education expenditures, in that case the variable would be missing\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V158","name":"COMMEXP","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"506","var_end_pos":"510","var_width":"5","var_rec_seg_no":"1","labl":"Communication","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Expenses on communication, including postal services, telephone and telefax equipment, and telephone and telefax services. Ideally, corresponds to Code 08 of the COICOP classification.","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n=PTTSERV+TTEQP\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V159","name":"PTTSERV","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"511","var_end_pos":"515","var_width":"5","var_rec_seg_no":"1","labl":"Postal telephone and telefax services","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Installation and subscription costs of personal telephone equipment; telephone calls etc. delivery of letters etc.","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V160","name":"TTEQP","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"516","var_end_pos":"519","var_width":"4","var_rec_seg_no":"1","labl":"Telephone and telefax equipment","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Purchases of telephones, telefax machines, etc. and their repair","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nDurable\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V161","name":"CULTEXP","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"520","var_end_pos":"524","var_width":"5","var_rec_seg_no":"1","labl":"Recreation and culture","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Expenses on recreation and culture, including audio-visual, photographic and information processing equipment, other major durables for recreation and culture, other recreational items and equipment, gardens and pets, recreational and cultural services, newspapers, books and stationery, package holidays. Ideally, corresponds to Code 09 of the COICOP classification.","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n=CULDUR+CULEQP+CULSER+SCHCUL\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V162","name":"CULDUR","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"525","var_end_pos":"529","var_width":"5","var_rec_seg_no":"1","labl":"Durables for recreation and culture","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Audio-visual, photographic and information processing equipment, Camper vans, boats, horse and pony etc.","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nDurable\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V163","name":"CULEQP","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"530","var_end_pos":"533","var_width":"4","var_rec_seg_no":"1","labl":"Recreation and cultural equipments","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Games, toys and hobbies , Equipment for sport, camping and open-air recreation etc.","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nCode (3614) -in original survey data- indicating renting videos and TVs was categorized with \u201crecreational and cultural equipments\u201d and not \u201cDurables for recreation and culture\u201d; in order not to be counted as durables bought","fid":"F1"},{"vid":"V164","name":"CULSER","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"534","var_end_pos":"538","var_width":"5","var_rec_seg_no":"1","labl":"Recreation and culture services","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"cinemas, theatres, opera houses games, Newspapers, books and stationery, etc. holidays or tours which provide for travel, food, accommodation, guides","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nExcluding school books and stationary\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V165","name":"SCHCUL","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"539","var_end_pos":"542","var_width":"4","var_rec_seg_no":"1","labl":"School recreation and culture services","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"School books and stationery, etc.","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nItem indicating expenditure on Notebooks, envelops, diaries (including school notebooks), was added to \u201cSchool recreation and culture services expenditure\u201d.","fid":"F1"},{"vid":"V166","name":"EDUCEXP","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"543","var_end_pos":"547","var_width":"5","var_rec_seg_no":"1","labl":"Education","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Expenses on education, including pre-primary and primary education, secondary education, post-secondary non-tertiary education, tertiary education, and education not definable by level. Ideally, corresponds to Code 10 of the COICOP classification.\nIt covers educational services only and does not include expenditures on educational materials, such as books, catering and transport services etc.","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n=PREDUC+SEDUC+TEDUC+OEDUC+EDUCABR\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V167","name":"PREDUC","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"548","var_end_pos":"552","var_width":"5","var_rec_seg_no":"1","labl":"Expenses on pre-primary and primary education","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Includes also expenses on literacy programs for students too old for primary school, including private tutoring and tutoring groups","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V168","name":"SEDUC","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"553","var_end_pos":"557","var_width":"5","var_rec_seg_no":"1","labl":"Expenses lower and upper-secondary education","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Includes also out-of-school secondary education for adults and young people, private tutoring and tutoring groups","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V169","name":"TEDUC","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"558","var_end_pos":"562","var_width":"5","var_rec_seg_no":"1","labl":"Expenses tertiary education","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Expenses on first and second stage of tertiary education, including private tutoring and tutoring groups","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V170","name":"OEDUC","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"563","var_end_pos":"566","var_width":"4","var_rec_seg_no":"1","labl":"Expenses on education not defined by level","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Educational programs, generally for adults, which do not require any special prior instruction, in particular vocational training and cultural development.","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V171","name":"EDUCABR","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"567","var_end_pos":"571","var_width":"5","var_rec_seg_no":"1","labl":"Expenses on Education Abroad","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Includes all expenses on trips for education purposes other than those spent on transportation or accommodation","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V172","name":"RESTOEXP","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"572","var_end_pos":"576","var_width":"5","var_rec_seg_no":"1","labl":"Restaurants and hotels","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Expenses on restaurants (catering services) and hotels (accommodation services). Ideally, corresponds to Code 11 of the COICOP classification.","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n=CATSERV+SCHRST+ACCOM\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V173","name":"CATSER","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"577","var_end_pos":"581","var_width":"5","var_rec_seg_no":"1","labl":"Catering services","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Meals, snacks, and drinks provided by restaurants, caf\u00e9s, etc., including those provided:\n- in cultural, sporting or entertainment services: theatres, cinemas, sports stadiums, etc.; on public transport \n- ready to take food products and beverages, the sale of cooked dishes by catering contractors, \n- catering services of works canteens, and canteens in schools, universities etc.","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V174","name":"SCHRST","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"582","var_end_pos":"582","var_width":"1","var_rec_seg_no":"1","labl":"School restaurants expenditures","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Meals, snacks, and drinks provided in school restaurants","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIn many countries, those expenses are lumped with catering services.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V175","name":"ACCOM","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"583","var_end_pos":"587","var_width":"5","var_rec_seg_no":"1","labl":"Accommodation and hotel expenses","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Accommodation services of:\n- hotels, boarding houses, motels, inns and establishments offering \"bed and breakfast\";\n- holiday villages and holiday centers, camping and caravan sites, youth hostels and mountain chalets;\n- boarding schools, universities and other educational establishments;\n- public transport (trains, boats, etc.) when priced separately;\n- hostels for young workers or immigrants.","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V176","name":"MISCEXP","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"588","var_end_pos":"593","var_width":"6","var_rec_seg_no":"1","labl":"Miscellaneous goods and services","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Expenses on miscellaneous goods and services, such as personal care, personal effects n.e.c., social protection, insurance, financial services n.e.c., other services n.e.c. Ideally, corresponds to Code 12 of the COICOP classification.","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nSome surveys may report information on taxes and remittances without clear specification of the nature of the tax expenses\u2026 these expenditures are included in this part. \n=PCEXP+SPEXP+FEXP+FEES+PTRANSF\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V177","name":"PCEXP","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"594","var_end_pos":"598","var_width":"5","var_rec_seg_no":"1","labl":"Personal care and personal effects","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Hairdressing salons and appliances for personal care, Jewellery, clocks and miscellaneous personal articles","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nElectric razors, hairdryers, electric toothbrushes etc. are included in this subgroup\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\n2 codes (3705,3706)-in original survey data- representing expenditure on shopping and expenditure on shopping during internal trips were added to PCEXP (Personal care & effects).","fid":"F1"},{"vid":"V178","name":"SPEXP","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"599","var_end_pos":"602","var_width":"4","var_rec_seg_no":"1","labl":"Social protection","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Covers assistance and support services provided to persons who are elderly, disabled, unemployed, homeless, low-income earners, immigrants, refugees, etc. It also covers assistance and support services provided to families and children.","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V179","name":"FEXP","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"603","var_end_pos":"607","var_width":"5","var_rec_seg_no":"1","labl":"Insurance and financial services","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Service charges for insurance such as life insurance and non-life insurance (that is, insurance in connection with the dwelling, health, transport, etc.). Service charges for multi-risk insurance covering several risks should be classified on the basis of the cost of the principal risk if it is not possible to allocate the service charges to the various risks covered. Actual charges for the financial services of banks","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nService charge for insurance is defined as the difference between claims due and premiums earned and premium supplement\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V180","name":"FEES","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"608","var_end_pos":"612","var_width":"5","var_rec_seg_no":"1","labl":"Penalties and other fees","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Financial penalties, traffic violation fees etc., fees for issuing passport ID cards, visas, birth certificate, driving license etc. membership fees.. And other non specified fees","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V181","name":"PTRANSF","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"613","var_end_pos":"618","var_width":"6","var_rec_seg_no":"1","labl":"Private transfers given","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Remittances inside and outside the country, gifts to relatives cash or in-kind, charities, zakat , Alimony etc.","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V182","name":"TOTFOOD","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"619","var_end_pos":"624","var_width":"6","var_rec_seg_no":"1","labl":"Total food expenditures","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIn case where the own produced food items are also included in code 01 we need to abstract from OWNP\n=FOODEXP+CATSER+SCHRST\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\n\u2022 Products need to be restructured in order that each product represents a variable.\n\n\u2022 All expenditure items were summated from the products data file (indicating monthly amounts in NIS).\n\n\u2022 All expenditures were annualized (multiplied by 12).\n\n\u2022  The labels of those 3 products (1518, 3635 ,5029) -in original survey data-\n are not identified neither in the data file nor the coding sheet or later data sets, and they were not available in previous data sets, hence they could not be labeled in the data file but they were categorized among expenditure aggregates as per their codes and labeled \u201cnot defined\u201d.\n\n\u2022  item (2925)-in original survey data- indicated in the questionnaire as expenditure on dwelling and labeled expenditure on \u201colive cake\u201d. Either the item was mislabeled or miscoded. The same item was checked in 2009 questionnaire and found with the same labeling accordingly, it was re-categorized with food expenditure.","fid":"F1"},{"vid":"V183","name":"TDUR","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"625","var_end_pos":"630","var_width":"6","var_rec_seg_no":"1","labl":"Total expenses on durables","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n=HSFUR+MHAPL+MHOPE+TAEQ+TRVEH+TTEQP+CULDUR\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V184","name":"THOUS","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"631","var_end_pos":"639","var_width":"9","var_rec_seg_no":"1","labl":"Actual and imputed rentals for housing","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n=ARHOUS+IMPREN\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V185","name":"TOTEXP","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"640","var_end_pos":"648","var_width":"9","var_rec_seg_no":"1","labl":"Total expenditures","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Individual consumption expenditure of household. Ideally, corresponds to Codes 01 to 12 of the COICOP classification","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIn cases where the original survey provides expenditures according to the COICOP classification, this variable is the sum over the expenditure variables above. Otherwise, it is either derived from the \"total expenditures\" variable in the original survey (if available) or is left blank.\n=FOODEXP+ALCOEXP+APPEXP+HOUSEXP+EQUIPEXP+MEDEXP+\nTRANEXP+COMMEXP+CULTEXP+EDUCEXP+RESTOEXP+MISCEXP\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V186","name":"TNFOOND","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"649","var_end_pos":"654","var_width":"6","var_rec_seg_no":"1","labl":"Total expenditures on non-food and non-durables","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nAlcoholic and tobacco expenditures are included here \n=TOTEXP-(FOODEXP+TDUR+THOUS)\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\n\u2022 Products need to be restructured in order that each product represents a variable.\n\n\u2022 All expenditure items were summated from the products data file (indicating monthly amounts in NIS).\n\n\u2022 All expenditures were annualized (multiplied by 12).\n\n\u2022  The labels of those 3 products (1518, 3635 ,5029) -in original survey data-\n are not identified neither in the data file nor the coding sheet or later data sets, and they were not available in previous data sets, hence they could not be labeled in the data file but they were categorized among expenditure aggregates as per their codes and labeled \"not defined\".\n\n\u2022  item (2925)-in original survey data- indicated in the questionnaire as expenditure on dwelling and labeled expenditure on \"olive cake\". Either the item was mislabeled or miscoded. The same item was checked in 2009 questionnaire and found with the same labeling accordingly, it was re-categorized with food expenditure.","fid":"F1"},{"vid":"V187","name":"LUMP","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"655","var_end_pos":"659","var_width":"5","var_rec_seg_no":"1","labl":"Lumpy expenses","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Expenses on marriage, dowries, mahr, funeral, birth etc lump sum divorce (excluding alimony) payment and any other occasional expenses","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V188","name":"INTER","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"660","var_end_pos":"663","var_width":"4","var_rec_seg_no":"1","labl":"Interests paid on consumption and loans","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Interest paid on loans for the purchase of consumption or durable goods","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThese expenses should not be part of consumption aggregates \n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V189","name":"TAX","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"664","var_end_pos":"668","var_width":"5","var_rec_seg_no":"1","labl":"Expenditures on taxes and levies","var_respunit":"Data Dictionary & Questionnaire\/Codebook\nExpenditure aggregates.pdf indicates items aggregated under each expenditure type","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Taxes on consumption and durable goods, property taxes etc.","var_codeinstr":"Aggregate computed by ERF (Ref: Data Dictionary.pdf\/Expenditure Aggregates.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nTaxes should be included in consumption aggregates only if they are closely related to services provided such as households that are paying more tax are receiving more services. In that latter case (if there is enough detail in the survey about taxes) this category should be disaggregated according to the nature of taxes paid.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V190","name":"COUNTRY","file_id":"F2","var_intrvl":"discrete","var_start_pos":"1","var_end_pos":"9","var_width":"9","var_rec_seg_no":"1","labl":"Unique country identifier","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"String variable representing the country name","var_codeinstr":"Generated by ERF","var_format":"character","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThis variable exists both in the household and the person file and is necessary when concatenating files from different datasets.\nUse this variable when concatenating files from different datasets.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V191","name":"YEAR","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"10","var_end_pos":"13","var_width":"4","var_rec_seg_no":"1","labl":"Survey Year","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Year during which the survey was performed","var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThis variable exists both in the household and the person file and is necessary when concatenating files from different datasets.\nUse this variable when concatenating files from different datasets.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V192","name":"CASESER","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"14","var_end_pos":"18","var_width":"5","var_rec_seg_no":"1","labl":"Unique unit identifier","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Sequential anonymous household identifier usually provided in the dataset","var_codeinstr":"Original survey variable renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThis variable exists both in the household and person file and is necessary when merging the two files. This identifier is unique only within each country\/year dataset; when combining different countries or years it is necessary to use it in combination with the variables COUNTRY and YEAR in order to uniquely identify households.\nWhen merging household and individual level files from the same dataset, use this variable to link each individual to the right household.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V193","name":"HWEIGHT","file_id":"F2","var_dcml":"6","var_intrvl":"discrete","var_start_pos":"19","var_end_pos":"25","var_width":"7","var_rec_seg_no":"1","labl":"Household weight","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Data provider household weight","var_codeinstr":"Original survey variable renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe household weight can correct just for sample bias, or also for non-sampling errors (such as response bias and adjustment to population distribution). In many cases, the weight is a population weight, which means that the weight will inflate the result to reflect the total population. \nWe strongly recommend that all statistical analysis be performed using the data weights\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V194","name":"REG","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"26","var_end_pos":"26","var_width":"1","var_rec_seg_no":"1","labl":"Region","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"2"}],"var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Region of residence","var_catgry":[{"value":"1","labl":"West Bank","stats":null,"type":null},{"value":"2","labl":"Gaza Strip","stats":null,"type":null}],"var_codeinstr":"Original survey variable renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V195","name":"RURURB","file_id":"F2","var_dcml":"1","var_intrvl":"discrete","var_start_pos":"27","var_end_pos":"27","var_width":"1","var_rec_seg_no":"1","labl":"Urban\/Rural residence","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"2"}],"var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Indicate whether the region is urban\/rural","var_catgry":[{"value":"0","labl":"Rural","stats":null,"type":null},{"value":"1","labl":"Urban","stats":null,"type":null},{"value":"2","labl":"Refugee camps","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIn case the country has refugee camps (as in Palestine) those will be coded \"2\"\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V196","name":"PNUM","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"28","var_end_pos":"29","var_width":"2","var_rec_seg_no":"1","labl":"Person identifier","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Person identification number (usually the person line number in the household)","var_codeinstr":"Original survey variable renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThis identifier is unique within each household. In order to uniquely identify an individual, both CASENUM and PNUM are required.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V197","name":"PAGE","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"30","var_end_pos":"31","var_width":"2","var_rec_seg_no":"1","labl":"Age","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Age in years.","var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIn some datasets, age may be calculated at a certain reference date (e.g., 31 December of last year). When the original dataset has only age categories, age is calculated as the midpoint of the range provided. In some datasets, AGE is top coded by the data provider (e.g., a value of 95 represents 95 years of age or over).\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\n98 indicates those aged 98 years or older","fid":"F2"},{"vid":"V198","name":"PSEX","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"32","var_end_pos":"32","var_width":"1","var_rec_seg_no":"1","labl":"Gender","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"2"}],"var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Indicator for gender of individual.","var_catgry":[{"value":"1","labl":"Male","stats":null,"type":null},{"value":"2","labl":"Female","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V199","name":"PMART","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"33","var_end_pos":"33","var_width":"1","var_rec_seg_no":"1","labl":"Marital status","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"5"}],"var_universe":"All individuals aged 12+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Legal administrative status concerning marriage & partnership (even if not married, a person can be still legally recognized as being in a relationship).","var_catgry":[{"value":"1","labl":"Never married","stats":null,"type":null},{"value":"2","labl":"Married monogamous","stats":null,"type":null},{"value":"3","labl":"Married polygamous","stats":null,"type":null},{"value":"4","labl":"Divorced\/Separated","stats":null,"type":null},{"value":"5","labl":"Widowed","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThere is no Polygamous status for females. Generally the information about polygamous status is available only for the head (male). For the other individuals we consider those having the status married as monogamous. \n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V200","name":"PREL","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"34","var_end_pos":"34","var_width":"1","var_rec_seg_no":"1","labl":"Relationship to head","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"8"}],"var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Relationship to the head of household, where the value '1' always stands for the head of the household him\/herself.\nThe variable \"Other relatives \" includes nephew and niece, grandparents, sons and daughters in law,  etc.....","var_catgry":[{"value":"1","labl":"Head of household","stats":null,"type":null},{"value":"2","labl":"Spouse","stats":null,"type":null},{"value":"3","labl":"Son\/daughter","stats":null,"type":null},{"value":"4","labl":"Father\/Mother (parents)","stats":null,"type":null},{"value":"5","labl":"Brother\/sister","stats":null,"type":null},{"value":"6","labl":"Grandchildren","stats":null,"type":null},{"value":"7","labl":"Other relatives","stats":null,"type":null},{"value":"8","labl":"Other non-relatives","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V201","name":"PFPRES","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"35","var_end_pos":"35","var_width":"1","var_rec_seg_no":"1","labl":"Father present at home","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"3"}],"var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Indicates whether the father is present at home, not a household member or dead.","var_catgry":[{"value":"1","labl":"Yes","stats":null,"type":null},{"value":"2","labl":"Father is not a household member","stats":null,"type":null},{"value":"3","labl":"Father is dead","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIn case there is no information available about whether the father is dead or not we just use code 2 (not a HH member). In case, the relationship to head variable indicates that the brother of the head is living in the HH with nephews\/nieces of the head we assume that these last are the sons\/daughters of the head's brother. \n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\n\u2022 Father's and Mother's variables were generated based on D7 and D9 (in original survey data) indicating if mother\/father are still alive and if they are household members. The rest of the parents characteristics were based on D8 and D10  (in original survey data) indicating the mother\/father line number in the household.","fid":"F2"},{"vid":"V202","name":"PFATHID","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"36","var_end_pos":"37","var_width":"2","var_rec_seg_no":"1","labl":"ID of the father","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Indicates the PNUM (the line number in the HH) of the father","var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThis information is available for the son\/daughter of the head, partially available for the head and brother\/sister of the head and is missing for the other individuals (exception for Iraq). In case we have the brother of the head living in the HH with the nephew\/niece of the head we assume that these last are the son (daughter) of the head's brother. \nSince very few surveys report this information. Value can be imputed from the roster (or individual file) but might be available only if PFPRES = 1.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V203","name":"PMPRES","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"38","var_end_pos":"38","var_width":"1","var_rec_seg_no":"1","labl":"Mother present at home","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"3"}],"var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Indicates whether the mother is present at home, not a household member or dead.","var_catgry":[{"value":"1","labl":"Yes","stats":null,"type":null},{"value":"2","labl":"Mother is not a household member","stats":null,"type":null},{"value":"3","labl":"Mother is dead","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThere might be a problem identifying the mother from the Roster in case of multiple spouses. This variable can be clearly identified only in the fathers'\/mothers' ID is provided in the dataset. In case of only one spouse she is assumed to be the mother, unless the age checking is could identify those living with their step mother (mother died or divorced).\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\n\u2022 Father's and Mother's variables were generated based on D7 and D9 (in original survey data) indicating if mother\/father are still alive and if they are household members. The rest of the parents characteristics were based on D8 and D10  (in original survey data) indicating the mother\/father line number in the household.","fid":"F2"},{"vid":"V204","name":"PMOTHID","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"39","var_end_pos":"40","var_width":"2","var_rec_seg_no":"1","labl":"ID of the Mother","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Indicates the PNUM (the line number in the HH) of the mother","var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThere might be a problem identifying the mother from the Roster in case of multiple spouses. This variable can be clearly identified only in the fathers'\/mothers' ID is provided in the dataset. In case of only one spouse she is assumed to be the mother, unless the age checking is could identify those living with their step mother (mother died or divorced).\nSince very few surveys report this information. Value can be imputed from the roster (or individual file) but might be available only if PMPRES = 1.\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V205","name":"PFAGE","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"41","var_end_pos":"42","var_width":"2","var_rec_seg_no":"1","labl":"Age of the father","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V206","name":"PMAGE","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"43","var_end_pos":"44","var_width":"2","var_rec_seg_no":"1","labl":"Age of the mother","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V207","name":"PFMART","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"45","var_end_pos":"45","var_width":"1","var_rec_seg_no":"1","labl":"Marital status of the father","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"5"}],"var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Never married","stats":null,"type":null},{"value":"2","labl":"Married monogamous","stats":null,"type":null},{"value":"3","labl":"Married polygamous","stats":null,"type":null},{"value":"4","labl":"Divorced\/Separated","stats":null,"type":null},{"value":"5","labl":"Widowed","stats":null,"type":null}],"var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V208","name":"PMMART","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"46","var_end_pos":"46","var_width":"1","var_rec_seg_no":"1","labl":"Marital status of the mother","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"5"}],"var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Never married","stats":null,"type":null},{"value":"2","labl":"Married monogamous","stats":null,"type":null},{"value":"3","labl":"Married polygamous","stats":null,"type":null},{"value":"4","labl":"Divorced\/Separated","stats":null,"type":null},{"value":"5","labl":"Widowed","stats":null,"type":null}],"var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V209","name":"PFEDUC","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"47","var_end_pos":"48","var_width":"2","var_rec_seg_no":"1","labl":"Educational level of the father","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"None","stats":null,"type":null},{"value":"2","labl":"Primary","stats":null,"type":null},{"value":"3","labl":"Lower secondary","stats":null,"type":null},{"value":"4","labl":"Secondary","stats":null,"type":null},{"value":"5","labl":"Post secondary or equivalent","stats":null,"type":null},{"value":"6","labl":"University","stats":null,"type":null},{"value":"7","labl":"Postgraduate","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V210","name":"PMEDUC","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"49","var_end_pos":"50","var_width":"2","var_rec_seg_no":"1","labl":"Educational level of the mother","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"None","stats":null,"type":null},{"value":"2","labl":"Primary","stats":null,"type":null},{"value":"3","labl":"Lower secondary","stats":null,"type":null},{"value":"4","labl":"Secondary","stats":null,"type":null},{"value":"5","labl":"Post secondary or equivalent","stats":null,"type":null},{"value":"6","labl":"University","stats":null,"type":null},{"value":"7","labl":"Postgraduate","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V211","name":"PFMAS","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"51","var_end_pos":"52","var_width":"2","var_rec_seg_no":"1","labl":"Main activity of the father","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Employed","stats":null,"type":null},{"value":"2","labl":"Unemployed","stats":null,"type":null},{"value":"3","labl":"Homemaker (Housewife)","stats":null,"type":null},{"value":"4","labl":"Student","stats":null,"type":null},{"value":"5","labl":"Pensioners\/retired\/disabled","stats":null,"type":null},{"value":"6","labl":"Others","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V212","name":"PMMAS","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"53","var_end_pos":"54","var_width":"2","var_rec_seg_no":"1","labl":"Main activity of the mother","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Employed","stats":null,"type":null},{"value":"2","labl":"Unemployed","stats":null,"type":null},{"value":"3","labl":"Homemaker (Housewife)","stats":null,"type":null},{"value":"4","labl":"Student","stats":null,"type":null},{"value":"5","labl":"Pensioners\/retired\/disabled","stats":null,"type":null},{"value":"6","labl":"Others","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V213","name":"PFCEMS","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"55","var_end_pos":"56","var_width":"2","var_rec_seg_no":"1","labl":"Employment status of the father","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Employee","stats":null,"type":null},{"value":"2","labl":"Employer","stats":null,"type":null},{"value":"3","labl":"Own-account, self-employed","stats":null,"type":null},{"value":"4","labl":"Contributing (unpaid) family worker","stats":null,"type":null},{"value":"5","labl":"Members of producers cooperatives","stats":null,"type":null},{"value":"6","labl":"Workers not classifiable by status (other)","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V214","name":"PMCEMS","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"57","var_end_pos":"58","var_width":"2","var_rec_seg_no":"1","labl":"Employment status of the mother","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Employee","stats":null,"type":null},{"value":"2","labl":"Employer","stats":null,"type":null},{"value":"3","labl":"Own-account, self-employed","stats":null,"type":null},{"value":"4","labl":"Contributing (unpaid) family worker","stats":null,"type":null},{"value":"5","labl":"Members of producers cooperatives","stats":null,"type":null},{"value":"6","labl":"Workers not classifiable by status (other)","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V215","name":"PFOCC","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"59","var_end_pos":"60","var_width":"2","var_rec_seg_no":"1","labl":"Occupation of the main job of the father","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Legislators, senior officials and managers","stats":null,"type":null},{"value":"2","labl":"Professionals","stats":null,"type":null},{"value":"3","labl":"Technicians and associate professionals","stats":null,"type":null},{"value":"4","labl":"Clerks","stats":null,"type":null},{"value":"5","labl":"Service workers and shop and market sales","stats":null,"type":null},{"value":"6","labl":"Skilled agricultural and fishery workers","stats":null,"type":null},{"value":"7","labl":"Craft and related trades","stats":null,"type":null},{"value":"8","labl":"Plant and machine operators and assemblers","stats":null,"type":null},{"value":"9","labl":"Elementary occupations","stats":null,"type":null},{"value":"11","labl":"Other\/unspecified","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V216","name":"PMOCC","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"61","var_end_pos":"62","var_width":"2","var_rec_seg_no":"1","labl":"Occupation of the main job of the mother","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Legislators, senior officials and managers","stats":null,"type":null},{"value":"2","labl":"Professionals","stats":null,"type":null},{"value":"3","labl":"Technicians and associate professionals","stats":null,"type":null},{"value":"4","labl":"Clerks","stats":null,"type":null},{"value":"5","labl":"Service workers and shop and market sales","stats":null,"type":null},{"value":"6","labl":"Skilled agricultural and fishery workers","stats":null,"type":null},{"value":"7","labl":"Craft and related trades","stats":null,"type":null},{"value":"8","labl":"Plant and machine operators and assemblers","stats":null,"type":null},{"value":"9","labl":"Elementary occupations","stats":null,"type":null},{"value":"11","labl":"Other\/unspecified","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V217","name":"PFIND","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"63","var_end_pos":"64","var_width":"2","var_rec_seg_no":"1","labl":"Industry of the main job of the father","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Agriculture and Fishing","stats":null,"type":null},{"value":"2","labl":"Mining","stats":null,"type":null},{"value":"3","labl":"Manufacturing","stats":null,"type":null},{"value":"4","labl":"Electricity and Utilities","stats":null,"type":null},{"value":"5","labl":"Construction","stats":null,"type":null},{"value":"6","labl":"Commerce","stats":null,"type":null},{"value":"7","labl":"Transportation, Storage and Communication","stats":null,"type":null},{"value":"8","labl":"Financial, Insurance and Real Estate","stats":null,"type":null},{"value":"9","labl":"Public Administration","stats":null,"type":null},{"value":"10","labl":"Other Services","stats":null,"type":null},{"value":"11","labl":"Unspecified","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V218","name":"PMIND","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"65","var_end_pos":"66","var_width":"2","var_rec_seg_no":"1","labl":"Industry of the main job of the mother","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Agriculture and Fishing","stats":null,"type":null},{"value":"2","labl":"Mining","stats":null,"type":null},{"value":"3","labl":"Manufacturing","stats":null,"type":null},{"value":"4","labl":"Electricity and Utilities","stats":null,"type":null},{"value":"5","labl":"Construction","stats":null,"type":null},{"value":"6","labl":"Commerce","stats":null,"type":null},{"value":"7","labl":"Transportation, Storage and Communication","stats":null,"type":null},{"value":"8","labl":"Financial, Insurance and Real Estate","stats":null,"type":null},{"value":"9","labl":"Public Administration","stats":null,"type":null},{"value":"10","labl":"Other Services","stats":null,"type":null},{"value":"11","labl":"Unspecified","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V219","name":"PFTYPEWK","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"67","var_end_pos":"68","var_width":"2","var_rec_seg_no":"1","labl":"Sector of employment of the father","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Government","stats":null,"type":null},{"value":"2","labl":"Public sector","stats":null,"type":null},{"value":"3","labl":"Private sector","stats":null,"type":null},{"value":"4","labl":"Joint\/Cooperative","stats":null,"type":null},{"value":"5","labl":"Foreign sector","stats":null,"type":null},{"value":"6","labl":"Other","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V220","name":"PMTYPEWK","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"69","var_end_pos":"70","var_width":"2","var_rec_seg_no":"1","labl":"Sector of employment of the mother","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Government","stats":null,"type":null},{"value":"2","labl":"Public sector","stats":null,"type":null},{"value":"3","labl":"Private sector","stats":null,"type":null},{"value":"4","labl":"Joint\/Cooperative","stats":null,"type":null},{"value":"5","labl":"Foreign sector","stats":null,"type":null},{"value":"6","labl":"Other","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V221","name":"PLIT","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"71","var_end_pos":"71","var_width":"1","var_rec_seg_no":"1","labl":"Literacy status","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"All individuals aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates whether the person is literate (can read and write) or not","var_catgry":[{"value":"0","labl":"No","stats":null,"type":null},{"value":"1","labl":"Can read & write","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nA person is considered literate if they can both read and write and not just one or the other. A semi-literate person (one who can read, but cannot write) is said to be illiterate.\nIn the case where the survey asks only whether a person can read but does not ask if they can write, and in case there no information in the questionnaire about the reading and writing ability literacy cannot be determined, these are coded as missing.\nIf there are no questions about the read and write ability but the educational attainment is elementary or upper the individual is considered literate\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V222","name":"EVERATTD","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"72","var_end_pos":"73","var_width":"2","var_rec_seg_no":"1","labl":"Ever attended school","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"All individuals aged 5+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates whether the individual have ever attended school, academic, coranic or any other formal or informal school","var_catgry":[{"value":"0","labl":"No","stats":null,"type":null},{"value":"1","labl":"Yes","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nAll persons of pre-primary school age or above. Primary school age will vary by country. Value must be missing for others.\nThis is country-specific and depends on how school attendance is defined. Pre-school is included here. Also, in some countries, ever attended is yes only if the person attended for some minimum amount of time. The differences need to be carefully documented.\nOne is not required to have completed any level of education to answer this question positively.\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V223","name":"PEDUC","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"74","var_end_pos":"75","var_width":"2","var_rec_seg_no":"1","labl":"Educational level","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"All individuals aged 5+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Highest level of education attained.","var_catgry":[{"value":"1","labl":"None","stats":null,"type":null},{"value":"2","labl":"Primary","stats":null,"type":null},{"value":"3","labl":"Lower secondary","stats":null,"type":null},{"value":"4","labl":"Secondary","stats":null,"type":null},{"value":"5","labl":"Post secondary or equivalent","stats":null,"type":null},{"value":"6","labl":"University","stats":null,"type":null},{"value":"7","labl":"Postgraduate","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nPrimary corresponds to elementary, and lower secondary to preparatory\/second stage of basic education  \nIn case there is no distinction in the survey between primary and preparatory education level and the individual is not currently enrolled in school we consider his education level primary \nIf there is no information on highest level of education completed, the variable can be constructed using diploma level and\/or years of education. The selection of the variable must be based on a careful review of the data.\nWhen using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attending minus one (1).\nThis is country specific- not all countries require the same number of school years to complete a given level.\nThe value \"None\" does not mean that the person never attended school it means that the individual did not complete the first level of education (elementary) \nNone corresponds either to those currently enrolled in primary but didn't get the diploma or those illiterate, Read and Write, in informal school such as  Koranic school, traditional, vocational training  or adult etc.(cross tabulation with type of school will allow to identify those without education level)\nIf there is no question on highest level of education completed for those not attending school and there is no information on diploma and\/or years of education completed, then the variable cannot be constructed.\nUniversity education level refers to any higher education after successfully completing secondary level of education regardless of whether this was completed. \nNot stated is for cases where no education level is stated- this should be checked and avoided as much as possible. This classification should be documented.\nIf no information on the completeness of the education level, classify as incomplete and add specific comment to documentation.\nIf person is illiterate and there is no information on school level, cases are coded 1 \"None\".\nIf there is no information on the literacy status all levels other than formal education grades and not stated can be coded 1 \"None\".\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V224","name":"PYEDUC","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"76","var_end_pos":"77","var_width":"2","var_rec_seg_no":"1","labl":"Number of effective years of schooling","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"All individuals aged 5+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This is a continuous variable of the number of years of formal schooling completed.","var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe lower age cut-off at which information is collected will vary from country to country.\nIf no grade level information exists, this variable will be missing.\nThe variable does not take into account the actual number of years required to reach this level, in other words, first grade repeated three times still only counts as 1 year of schooling.\nIf a person has completed a BA\/BSc, MA\/MSc or PhD, but no number of years is known, use country specific information for the number of years. \n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nGenerated from the variable indicating the number of education years, completed for household members aged 5 years or older.\nThe variable reports \u201czero\u201d number of years for all those who never attended school","fid":"F2"},{"vid":"V225","name":"PATSCH","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"78","var_end_pos":"78","var_width":"1","var_rec_seg_no":"1","labl":"School attendance status","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"All individuals aged 5+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Indicates whether the individual is currently attending school","var_catgry":[{"value":"0","labl":"No","stats":null,"type":null},{"value":"1","labl":"Yes","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIf person on short school holiday when interviewed, he or she is considered to be at school. However, if the person is on the holiday between two years of schooling, one cannot assume that he\/she will continue schooling into the next year.\nVariable can be created using either attendance or enrolment question (since typically just one of them is available in each survey). In the case that both questions were available, attendance question MUST be used.\nThis variable must ALWAYS have a note specifying which question (attendance\/ enrolment) had been used to create it.\nDoes not include pre-school or kindergarten programs.\nValue must be missing for others.\nDoes not require one to have completed any level.\nAdults currently attending literacy programs are considered as attending school (PATSCH = 1)\nIn case the person is not currently attending school but there is no information on whether he attended school and left or never attended school use information from PEDUC to impute the right value.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V226","name":"PENROL","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"79","var_end_pos":"79","var_width":"1","var_rec_seg_no":"1","labl":"Level of schooling presently attending","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"8"}],"var_universe":"Currently enrolled individuals aged 5+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"PENROL ideally provides information on the level of education in which the individual is enrolled.","var_catgry":[{"value":"1","labl":"Primary","stats":null,"type":null},{"value":"2","labl":"Lower secondary","stats":null,"type":null},{"value":"3","labl":"Higher secondary- academic","stats":null,"type":null},{"value":"4","labl":"Higher secondary- technical\/vocational","stats":null,"type":null},{"value":"5","labl":"Post secondary- technical","stats":null,"type":null},{"value":"6","labl":"University","stats":null,"type":null},{"value":"7","labl":"Postgraduate","stats":null,"type":null},{"value":"8","labl":"Other","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nFor persons presently attending school (PATSCH=1), value missing for others.\nFor secondary school, if not specified in the questionnaire, it is assumed that it is an academic secondary school.\nFor the surveys where is no distinction between university and post university they are considered as university\nAs with PEDUC, we recommend that PENROL be restructured as a categorical variable appropriate to the analysis.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nGenerated only for those currently attending school and reported as outside labor force in the relation to labor force variable (neither employed nor unemployed), while for those reported as currently attending but are employed\/unemployed, the level of schooling was recoded missing.\nThe variable is generated using the highest level of education attained+1, therefore it is only generated for individuals aged 5+, i.e., if the highest level attained is primary for example, normally the individual should be attending in preparatory, except for postgraduates remained postgraduates since no higher levels could be attained and those who were illiterate and are currently students were recoded into \u201cother\u201d education together with those indicated \u201cread and write\u201d in the educational status. \u201cSecondary\u201d and \u201cIntermediate college\u201d graduates\u201d were classified into \u201cuniversity\u201d since no distinction between academic\/vocational\/technical secondary.","fid":"F2"},{"vid":"V227","name":"PSDISABL","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"80","var_end_pos":"80","var_width":"1","var_rec_seg_no":"1","labl":"Disability status","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Indicates whether the individual have any type of disability or not","var_catgry":[{"value":"0","labl":"No","stats":null,"type":null},{"value":"1","labl":"Disabled","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V228","name":"PTDISABL","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"81","var_end_pos":"82","var_width":"2","var_rec_seg_no":"1","labl":"Type of disability","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"10"}],"var_universe":"Individuals reported disabled","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This variable specifies,  if available, the type of disability.","var_catgry":[{"value":"1","labl":"Blindness","stats":null,"type":null},{"value":"2","labl":"Deafness","stats":null,"type":null},{"value":"3","labl":"Muteness","stats":null,"type":null},{"value":"4","labl":"Speech disability","stats":null,"type":null},{"value":"5","labl":"Walking disability","stats":null,"type":null},{"value":"6","labl":"Physical (movement) disability","stats":null,"type":null},{"value":"7","labl":"Limp disability","stats":null,"type":null},{"value":"8","labl":"Mental retardation","stats":null,"type":null},{"value":"9","labl":"Multiple disability","stats":null,"type":null},{"value":"10","labl":"Other","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V229","name":"PCLFS","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"83","var_end_pos":"84","var_width":"2","var_rec_seg_no":"1","labl":"Labour force status in the current period","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"All individuals aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Current labour force status that distinguishes between the employed, the unemployed, and those not in the labour force.","var_catgry":[{"value":"1","labl":"Active","stats":null,"type":null},{"value":"2","labl":"Inactive","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nVariable is constructed for all persons administered this module in each questionnaire. For this reason the lower age cut-off (and perhaps upper age cut-off) at which information is collected will vary from country to country.\nAll persons are considered active in the labour force if they presently have a job (formal or informal, i.e. are employed) or do not have a job but are actively seeking work (i.e. unemployed).\nVariable is constructed for all persons administered this module in each questionnaire. For this reason the age cut-offs at which information is collected will vary from country to country.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V230","name":"PCMAS","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"85","var_end_pos":"86","var_width":"2","var_rec_seg_no":"1","labl":"Main activity status in the current period","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"All individuals aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Main activity status with respect to the labour force, that distinguishes between the employed and the not employed.  The employed are those for whom work is the main activity, while for all the others, the main activity should attempt to distinguish between pensioners, students, and homemakers.","var_catgry":[{"value":"1","labl":"Employed","stats":null,"type":null},{"value":"2","labl":"Unemployed","stats":null,"type":null},{"value":"3","labl":"Homemaker (Housewife)","stats":null,"type":null},{"value":"4","labl":"Student","stats":null,"type":null},{"value":"5","labl":"Pensioners\/retired\/disabled","stats":null,"type":null},{"value":"6","labl":"Others","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nUnlike PCLFS, the main distinction in PCMAS is between:\n- \u201cEmployed\u201d -those who, during the reference period, carried out ANY employment (any type or any extent) - even just one occasional hour of paid work or irregular unpaid family work (ILO definition).  Among the employed, the variable should distinguish, if available, between those employed at work and those on leave\n- \u201cNot Employed\u201d.  \nThe rationale is that individuals do not generally spend their time \u201cbeing unemployed\u201d, but use the time in unemployment to participate in other activities (e.g., attending school or being a housewife).  Unemployment will generally be considered the primary activity only if the individual states that unemployment is his\/her primary activity (e.g., unemployed and actively searching for a job) or if the individual is registered as unemployed and does not indicate significant participation in any other activity.  In these cases, the individuals will be assigned to their own category among the \u201cNot Employed\u201d.\nAccordingly, \"Not Employed\" are classified into:\n     - Unemployed - individuals who are not employed according to the definition above, and who report that they are unemployed. \n     - Not in Labor Force \/ Inactive \u2013 individuals identifiable as being neither employed nor unemployed, by the definitions above.  If possible, the inactive category should distinguish between the retired, students, and homemakers.\n     - Not Employed \/ Unemployed or Not in Labor Force - In some cases, it is not possible to distinguish between those who are unemployed and those who are inactive, but it is possible to determine that they are not employed.  In those cases where it is not feasible to determine unemployed versus inactive status, these individuals will be coded as \"Not Employed\".\nIn some surveys individuals are classified as employed students (or employed housewives) in that case they are considered as active in PCLFS and classified student (or housewives) in PCMAS. A cross tab between the two variables will permit to distinguish employed students (or housewives) from inactive ones.\nA proper documentation should particularly be done for those cases during harmonization process\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V231","name":"PCEMS","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"87","var_end_pos":"88","var_width":"2","var_rec_seg_no":"1","labl":"Status of Employment","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Active individuals aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Detailed description of the employment status (employee, own-account workers, employer, unpaid family worker, etc.) in (current or last held) job, ideally following the ICSE classification.","var_catgry":[{"value":"1","labl":"Employee","stats":null,"type":null},{"value":"2","labl":"Employer","stats":null,"type":null},{"value":"3","labl":"Own-account, self-employed","stats":null,"type":null},{"value":"4","labl":"Contributing (unpaid) family worker","stats":null,"type":null},{"value":"5","labl":"Members of producers cooperatives","stats":null,"type":null},{"value":"6","labl":"Workers not classifiable by status (other)","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe lower age cutoff (and perhaps upper age cutoff) at which information is collected will vary from country to country. Definitions taken from the International Labor Organizations Classification of Status in Employment with some revisions to take into account the data available.\nEmployee includes anyone whose basic remuneration is not directly dependent on the revenue of the unit they work for, typically remunerated by wages and salaries but may be paid for piece work or in-kind. The continuous criteria used in the ILO definition is not used here as data are often absent and due to country specificity.\nPublic includes quasi-government organizations.\nEmployer is a business owner (whether alone or in partnership) with employees. If the only people working in the business are the owner and contributing family workers, the person is not considered an employer (as has no employees) and is, instead classified as own account.\nOwn account or self-employment: jobs are those where remuneration is directly dependent from the goods and service produced (where home consumption is considered to be part of the profits) and have not engaged any permanent employees to work for them on a continuous basis during the reference period.\nMembers of producers cooperatives are workers who hold a self-employment job in a cooperative producing goods and services .\nContributing family workers are those workers who hold a self-employment job in a market-oriented establishment operated by a related person living in the same households who cannot be regarded as a partner because of their degree of commitment to the operation of the establishment, in terms of working time or other factors, is not at a level comparable to that of the head of the establishment.\nWorkers not classifiable by status (code 6) include those for whom insufficient relevant information is available and\/or who cannot be included in any of the preceding categories. \nThe variable should generally cover the active sample (employed and unemployed).\nActive sample reported as \"not stated (code 99)\" should normally include employed for whom the status was not identified and unemployed if status in last job is not reported. \n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V232","name":"POCC","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"89","var_end_pos":"90","var_width":"2","var_rec_seg_no":"1","labl":"Classification of Occupations for main job","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Active individuals aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"International Standard Occupational classification of the main (current or last held) job, with as much detail as possible (ideally 4-digit ISCO-88\/08 if available in original survey).","var_catgry":[{"value":"1","labl":"Legislators, senior officials and managers","stats":null,"type":null},{"value":"2","labl":"Professionals","stats":null,"type":null},{"value":"3","labl":"Technicians and associate professionals","stats":null,"type":null},{"value":"4","labl":"Clerks","stats":null,"type":null},{"value":"5","labl":"Service workers and shop and market sales","stats":null,"type":null},{"value":"6","labl":"Skilled agricultural and fishery workers","stats":null,"type":null},{"value":"7","labl":"Craft and related trades","stats":null,"type":null},{"value":"8","labl":"Plant and machine operators and assemblers","stats":null,"type":null},{"value":"9","labl":"Elementary occupations","stats":null,"type":null},{"value":"11","labl":"Other\/unspecified","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe lower age cut-off (and perhaps upper age cut-off) at which information is collected will vary from country to country.\nClassifies the main job of any individual with a job (EMPLOYED=1) and is missing otherwise. As most surveys collected detailed information and then coded it using national classifications, and the original data is not in the data bases, no attempt has been made to correct or check the original coding.\nThe variable should generally cover the active sample (employed and unemployed).\nActive sample reported as \"not stated (code 99)\" should normally include employed for whom the occupation was not identified and unemployed if occupation in last job is not reported. \n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nLabels for codes of  D21 (in original survey data) were not defined, therefore a guidance of definitions provided with the 2010 surveys was used.\nIn addition to International Standard Classification of Occupations (ISCO-88) guidance :  http:\/\/laborsta.ilo.org\/applv8\/data\/isco88e.html \nOne Undefined code in 2007 survey  was considered 11 (other\/unspecified)","fid":"F2"},{"vid":"V233","name":"PIND","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"91","var_end_pos":"92","var_width":"2","var_rec_seg_no":"1","labl":"International Standard Industrial Classification of main job","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Active individuals aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Industry classification of the main (current or last held) job, with as much detail as possible.","var_catgry":[{"value":"1","labl":"Agriculture and Fishing","stats":null,"type":null},{"value":"2","labl":"Mining","stats":null,"type":null},{"value":"3","labl":"Manufacturing","stats":null,"type":null},{"value":"4","labl":"Electricity and Utilities","stats":null,"type":null},{"value":"5","labl":"Construction","stats":null,"type":null},{"value":"6","labl":"Commerce","stats":null,"type":null},{"value":"7","labl":"Transportation, Storage and Communication","stats":null,"type":null},{"value":"8","labl":"Financial, Insurance and Real Estate","stats":null,"type":null},{"value":"9","labl":"Public Administration","stats":null,"type":null},{"value":"10","labl":"Other Services","stats":null,"type":null},{"value":"11","labl":"Unspecified","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIn many datasets national classifications are used.\nThe variable should generally cover the active sample (employed and unemployed).\nActive sample reported as \"not stated (code 99)\" should normally include employed for whom the industry was not identified and unemployed if industry of last job is not reported. \n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\n* Labels for codes of  D22 (in original survey data) were undefined, However, they seem to follow ISIC REV.3.1\n* Commerce also includes hotels and restaurants.\n* education is included in other services","fid":"F2"},{"vid":"V234","name":"PTYPEWK","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"93","var_end_pos":"94","var_width":"2","var_rec_seg_no":"1","labl":"Sector of employment","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Active individuals aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job.","var_catgry":[{"value":"1","labl":"Government","stats":null,"type":null},{"value":"2","labl":"Public sector","stats":null,"type":null},{"value":"3","labl":"Private sector","stats":null,"type":null},{"value":"4","labl":"Joint\/Cooperative","stats":null,"type":null},{"value":"5","labl":"Foreign sector","stats":null,"type":null},{"value":"6","labl":"Other","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nCooperative includes also employee in joint ventures.\nOther include workers in national NGOs and in private households\nForeign includes workers in international NGOs \nQuai public sectors are considered as public. In case there is no distinction between Government and public (the survey mixes both categories)  we use the classification used in the original data.\nThe variable should generally cover the active sample (employed and unemployed).\nActive sample reported as \"not stated (code 99)\" should normally include employed for whom the sector was not identified and unemployed if sector of last job is not reported. \n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V235","name":"PWEEKTL","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"95","var_end_pos":"96","var_width":"2","var_rec_seg_no":"1","labl":"Total weeks worked","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"Active individuals aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Number of weeks worked in a year","var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nPWEEKTL provides the number of weeks worked in any job (full- or part-time) during the reference period.  \nThe variable should generally cover the active sample (employed and unemployed).\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\n\u2022 Number of weeks worked was generated using the variable provided (D25-in original survey data-) on number of working months. The available variable was multiplied by 4 to compute the number of working weeks","fid":"F2"}],"variable_groups":[]}