{"type":"survey","study_desc":{"title_statement":{"idno":"EGY_2013_LFS_v01_M_v01_A_ERF","title":"Labor Force Survey 2013, Economic Research Forum (ERF) Harmonization Data","alt_title":"LFS 2013"},"authoring_entity":[{"name":"Economic Research Forum","affiliation":""},{"name":"Central Agency For Public Mobilization & Statistics","affiliation":""}],"production_statement":{"copyright":"(c) 2016, Economic Research Forum | (c) 2013, CAPMAS, Egypt"},"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":"Labor Force Survey [hh\/lfs]","series_info":"A quarterly survey collected by the Central Agency for Public Mobilization and Statistics (CAPMAS)"},"version_statement":{"version":"V1: A cleaned and a harmonized version of the survey dataset, produced by the Economic Research Forum for dissemination.","version_date":"2016-05","version_notes":"All documentation available for the original survey provided by the Statistical Agency, and for the harmonized datasets produced by the Economic Research Forum, are published, along with a copy of all occupations and economic activities used during the harmonization process. \nHowever, 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":"Demographics","vocab":"ERF","uri":""},{"topic":"Education","vocab":"ERF","uri":""},{"topic":"Nationality and immigration","vocab":"ERF","uri":""},{"topic":"Labor Force","vocab":"ERF","uri":""},{"topic":"Employment","vocab":"ERF","uri":""},{"topic":"Unemployment","vocab":"ERF","uri":""},{"topic":"Wages and incomes","vocab":"ERF","uri":""}],"abstract":"THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE CENTRAL AGENCY FOR PUBLIC MOBILIZATION AND STATISTICS (CAPMAS)\n\nIn any society, the human element represents the basis of the work force which exercises all the service and production activities. Therefore, it is a mandate to produce labor force statistics and studies, that is related to the growth and distribution of manpower and labor force distribution by different types and characteristics.\n\nIn this context, the Central Agency for Public Mobilization and Statistics conducts \"Quarterly Labor Force Survey\" which includes data on the size of manpower and labor force (employed and unemployed) and their geographical distribution by their characteristics.\n\nBy the end of each year, CAPMAS issues the annual aggregated labor force bulletin publication that includes the results of the quarterly survey rounds that represent the manpower and labor force characteristics during the year.\n\nHistorical Review of the Labor Force Survey:\n------------------------------------------------------\n1- The First Labor Force survey was undertaken in 1957. The first round was conducted in November of that year, the survey continued to be conducted in successive rounds (quarterly, bi-annually, or annually) till now.\n\n2- Starting the October 2006 round, the fieldwork of the labor force survey was developed to focus on the following two points:\n       a. The importance of using the panel sample that is part of the survey sample, to monitor the dynamic changes of the labor market.\n       b. Improving the used questionnaire to include more questions, that help in better defining of relationship to labor force of each household member (employed, unemployed, out of labor force ...etc.). In addition to re-order of some of the already existing questions in much logical way.\n\n3- Starting the January 2008 round, the used methodology was developed to collect more representative sample during the survey year. this is done through distributing the sample of each governorate into five groups, the questionnaires are collected from each of them separately every 15 days for 3 months (in the middle and the end of the month) \n\n4- Starting the January 2012 round, in order to follow the international recommendation, to avoid asking extra questions that affect the precision and accuracy of the collected data, a shortened version of the questionnaire was designed to include the core questions that enable obtaining the basic Egyptian labor market indicators. The shortened version is collected in two rounds (January-March), (April-June), and (October-December) while the long version of the questionnaire is collected in the 3rd round (July-September) that includes more information on housing conditions and immigration. \n\nThe survey aims at covering the following topics:\n------------------------------------------------------------\n1- Measuring the size of the Egyptian labor force among civilians (for all governorates of the republic) by their different characteristics.\n2- Measuring the employment rate at national level and different geographical areas.\n3- Measuring the distribution of employed people by the following characteristics: Gender, age, educational status, occupation, economic activity, and sector.\n4- Measuring unemployment rate at different geographic areas. \n5- Measuring the distribution of unemployed people by the following characteristics: Gender, age, educational status, unemployment type \u201cever employed\/never employed\u201d, occupation, economic activity, and sector for people who have ever worked.\n\nThe raw survey data provided by the Statistical Agency were cleaned and harmonized by the Economic Research Forum, in the context of a major project that started in 2009. During which extensive efforts have been exerted to acquire, clean, harmonize, preserve and disseminate micro data of existing labor force surveys in several Arab countries.","coll_dates":[{"start":"2013-01-01","end":"2013-03-31","cycle":"First round"},{"start":"2013-04-01","end":"2013-06-30","cycle":"Second round"},{"start":"2013-07-01","end":"2013-09-30","cycle":"Third round"},{"start":"2013-10-01","end":"2013-12-31","cycle":"Fourth round"}],"nation":[{"name":"Egypt, Arab Rep.","abbreviation":"EGY"}],"geog_coverage":"Covering a sample of urban and rural areas in all the governorates.","analysis_unit":"1- Household\/family.\n2- Individual\/person.","universe":"The survey covered a national sample of households and all individuals permanently residing in surveyed households.","data_kind":"Sample survey data [ssd]","notes":"Household: Includes geographical characteristics, household composition, LFS classification of household members, head's and spouse's characteristics, dwelling characteristics and ownership of durables.\n\nIndividual: Includes demographics, nationality and immigration, education, current labor status, main job, secondary job and last held job characteristics, wages and incomes, unemployment characteristics and inactivity reason(s).","study_scope":"Household: Includes geographical characteristics, household composition, LFS classification of household members, head's and spouse's characteristics, dwelling characteristics and ownership of durables.\n\nIndividual: Includes demographics, nationality and immigration, education, current labor status, main job, secondary job and last held job characteristics, wages and incomes, unemployment characteristics and inactivity reason(s)."},"method":{"data_collection":{"data_collectors":[{"name":"Central Agency For Public Mobilization & Statistics","abbreviation":"CAPMAS","affiliation":""}],"sampling_procedure":"THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE CENTRAL AGENCY FOR PUBLIC MOBILIZATION AND STATISTICS (CAPMAS)\n\nSample Design and Selection\n==================\n\nThe sample of the LFS 2013 survey is a self-weighted two-stage stratified cluster sample. \nThe main elements of the sampling design are described as follows:\n\n*  Sample Size \nThe sample size in each quarter is 23,864 households with a total number of 95,456 households annually. These households are distributed on the governorate level (urban\/rural), according to the estimated number of households in each governorate in accordance with the percentage of urban and rural population in each governorate.\n\n* Cluster size \nThe cluster size is 19 households.\n\n* Sampling stages:\n\n       A- First stage sample\n       ---------------------------\n     (1) Primary Sampling Unit (PSU):\nThe 2006 Population Census provided sufficient data at the level of the Enumeration Area (EA). Hence, the electronic list of EA's represented the frame of the first stage sample; in which the corresponding number of households per EA was taken as a measure of size. \nThe size of an EA is almost 200 households on average, with some variability expected. The size of first stage national sample was estimated to be 5,024 EA.\n\n      (2) Sample Distribution by Governorate:\nThe primary stratifying variable is the governorate of residence, which in turn is divided into urban and rural sub-strata, whenever applicable. \n\n      (3) First Stage Sample frame:\nThe census lists of EAs for each substratum, associated with the corresponding number of households, constitute the frame of the first stage sample. \nThe identification information appears on the EA's list includes the District code, Shiakha\/Village code, Census Supervisor number, and Enumerator number. \nPrior to the selection of the first stage sample, the frame was arranged to provide implicit stratification with regard to the geographic location. \nThe urban frame of each governorate was ordered in a serpentine fashion according to the geographic location of kism\/ district capitals. The same sort of ordering was made on the rural frame, but according to the district location. The systematic selection of EA's sample from such a sorted frame will ensure a balanced spread of the sample over the area of respective governorates.\nThe sample was selected with Probability Proportional to Size (PPS), with the number of census households taken as a Measure of Size (MOS).\n\n     (4) Core Sample allocation\nThe core sample EAs (5,024) were divided among the survey 4 rounds, each round included 1,256 EAs (573 in urban areas and 683 in rural areas).\n\n      B- Second Stage Sample:\n      ------------------------------\nThis is the final stage sample and was implemented in 2 stages:\n1- Selection of the New sample \n2- Selection of the panel sample\n\nA more detailed description of the different sampling stages and allocation of sample across governorates is provided in the Methodology document available among external resources in Arabic.","coll_mode":"Face-to-face [f2f]","research_instrument":"The questionnaire design follows the latest International Labor Organization (ILO) concepts and definitions of labor force, employment, and unemployment.\n\nThe questionnaire comprises 4 tables in addition to the identification and geographic data of household on the cover page. \n\nTable 1- The housing conditions of the households \n==============================\nThis table includes information on the housing conditions of the household:\n- Type of the dwelling,\n- Tenure of the dwelling (owned\/rent) ,\n- Availability of facilities and services connected to the house \n- Ownership of durables.\n\nTable 2- Demographic and employment characteristics and basic data for all household individuals\n===========================================================\nIncluding: gender, age, educational status, marital status, residence mobility and current work status\n\nTable 3- Employment characteristics table\n==========================\nThis table is filled by employed individuals at the time of the survey or those who were engaged to work during the reference week, and provided information on:\n- Relationship to employer: employer, self-employed, waged worker, and unpaid family worker\n- Economic activity\n- Sector\n- Occupation\n- Effective working hours\n- Health and social insurance\n- Work place\n- Contract type\n- Average monthly wage\n\nTable 4- Unemployment characteristics table\n===========================\nThis table is filled by all unemployed individuals who satisfied the unemployment criteria, and provided information on:\n- Type of unemployment (unemployed, unemployed ever worked)\n- Economic activity and occupation in the last held job before being unemployed\n- Last unemployment duration in months\n- Main reason for unemployment","coll_situation":"Field work\n========\n\n1- The field staff was selected from among the efficient experienced persons working in CAPMAS.\n2- Intensive training program for supervisors was conducted at CAPMAS in Cairo and locally in governorates for interviewers and field editors.\n3- Supervision program was implemented in all governorates to check the fieldwork.\n4- Data were collected by using personal interview method for household in dwelling and it had been obtained from the head of household or wife or any eligible person in case of their absence.\n5- Duties and responsibilities of all levels of field staff (interviewer, editor and supervisor) were defined to insure the accuracy and timing.","cleaning_operations":"Raw Data\n=======\nOffice editing is one of the main stages of the survey. It started once the questionnaires were received from the field and accomplished by the selected work groups. It includes:\na-Editing of coverage and completeness\nb-Editing of consistency\n\nHarmonized Data\n============\n- The SPSS package is used to clean and harmonize the datasets.\n- The harmonization process starts with a cleaning process for all raw data files received from the Statistical Agency.\n- All cleaned data files are then 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 then conducted on the data.\n- Harmonized data is saved on the household as well as the individual level, in SPSS and then converted to STATA, to be disseminated.","method_notes":"Coding\n=======\nSpecialized staff has coded the data of industry, occupation and geographical identification.\n\nData Processing and preparation of final results\n==============================\nThis stage included machine data entry, data validation, tabulation and preparation of final survey volumes.\n\nQuality Control Procedures\n==================\nThe precision of survey results depends to a large extent on how the survey has been prepared for. As such, it was deemed crucial to exert much effort and to take necessary actions towards rigorous preparation for the present survey as follows:\n\n1- Applying the recent international recommendations of different concepts and definitions.\n2- Evaluating the quality of data in all different implementation stages to avoid or minimize errors to the lowest extent possible through:\n             a- Implementing field editing after finishing data collection for households in governorates to avoid any errors in suitable time \n               (1 field editor was assigned for every 5 interviewers to review the collected questionnaires) \n             b- Re-interviewing a sample of households by Quality Control Department and examining the differences with the original responses."},"analysis_info":{"response_rate":"On the national level (94.5 %)\nUrban level (89.7%)\nRural level (98.6%)\n\nResponse rates on the governorate level  are presented in the methodology document attached to the documentation materials published in Arabic."}},"data_access":{"dataset_availability":{"access_place":"Economic Research Forum","access_place_uri":"http:\/\/erfdataportal.com\/index.php\/catalog\/96\/","original_archive":"Economic Research Forum\nhttp:\/\/erfdataportal.com\/index.php\/catalog\/96\/\nCost: None"},"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"}],"cit_req":"The users should cite the Economic Research Forum and the Central Agency For Public Mobilization & Statistics as follows:\n\nOAMDI, 2016. Harmonized Labor Force Surveys (HLFS), http:\/\/erf.org.eg\/data-portal\/. Version 1.0 of Licensed Data Files; LFS 2013- Central Agency for Public Mobilization and Statistics (CAPMAS). Egypt: Economic Research Forum (ERF).","conditions":"Licensed datasets, accessible under conditions.","disclaimer":"The Economic Research Forum and the Central Agency For Public Mobilization & 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":"Egypt 2013-LFS HH-V1","description":"The household data file contains generated household-level harmonized variables, subject to availability, covering the following categories:\n- File identification and information\n- Geographical characteristics\n- Household composition\n- LFS classification of household members\n- Head's and spouse's characteristics\n- Dwelling characteristics\n- Ownership of durables\n\nIn cross-sectional datasets,  the CASESER uniquely identifies the household. \nIn panel data, the ROUND and the CASESER variables are required to uniquely identify a certain household, while the HPNLID is used to identify panaled households.","case_count":"0","var_count":"95","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F2","file_name":"Egypt 2013-LFS IND-V1","description":"The individual data file contains generated individual-level harmonized variables, subject to availability, enveloped in the following categories:\n- File identification and information\n- Demographics\n- Nationality and immigration\n- Education\n- Current labor status\n- Employment in main job\n- Wages and incomes\n- Employment in secondary job\n- Last held job characteristics\n- Unemployment characteristics\n- Inactivity reason(s)\n\nIn cross-sectional datasets,  both CASESER and PNUM are used to uniquely identify an individual. \nIn panel data, the ROUND, CASESER and PNUM are required to uniquely identify a certain individual, while the HPNLID and PPNLID variables are used to identify paneled individuals.","case_count":"0","var_count":"72","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null}],"variables":[{"vid":"V1","name":"COUNTRY","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"1","var_end_pos":"3","var_width":"3","var_rec_seg_no":"1","labl":"Country","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"12","max":"887"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"A numeric variable representing the country and coded per the UN\u2019s Dec. 2012, country classification.","var_catgry":[{"value":"818","labl":"Egypt","stats":null,"type":null}],"var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThis variable exists in both the household and the individual files and is necessary when concatenating different data files.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nGenerated by ERF","fid":"F1"},{"vid":"V2","name":"YEAR","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"4","var_end_pos":"7","var_width":"4","var_rec_seg_no":"1","labl":"Survey year","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"2013","max":"2013"}],"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 in both the household and the individual files and is necessary when concatenating cross-sectional data. In the case of panel data, the Panel Identifier should be used to merge the datasets across years.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nGenerated by ERF","fid":"F1"},{"vid":"V3","name":"ROUND","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"8","var_end_pos":"8","var_width":"1","var_rec_seg_no":"1","labl":"Survey round","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":"invd"}],"var_txt":"This variable indicates the round during which the household was observed.","var_codeinstr":"Original survey variable renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe data collection of the LFSs might be conducted over several rounds during the survey year. This variable will be then generated in the datasets for which the collection was done over at least 2 rounds to indicate the round number during which each household was observed.\nIn the case of panel data, the same household ID may have different round numbers indicating different observations of the same household during the survey year.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nGenerated by ERF or provided in the original","fid":"F1"},{"vid":"V4","name":"DTYPE","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"9","var_end_pos":"9","var_width":"1","var_rec_seg_no":"1","labl":"Data type","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":"invd"}],"var_txt":"This variable should indicate whether the survey data is cross-sectional or panel.","var_catgry":[{"value":"1","labl":"Cross-sectional","stats":null,"type":null}],"var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe value of this variable should be constant for the same dataset, indicating one type of data (cross-sectional or panel). \nThis variable might be useful when combining datasets to identify different types of data before using them for analysis.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nGenerated by ERF taking the code 1 since the data is cross-sectional","fid":"F1"},{"vid":"V5","name":"CASESER","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"10","var_end_pos":"14","var_width":"5","var_rec_seg_no":"1","labl":"Unique household identifier","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"85451"}],"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)\nGenerated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThis variable exists both in the household and the individual files and is necessary when merging the two files. When combining different countries or years, it is necessary to use the CASESER variable in combination with the COUNTRY, YEAR and ROUND variables in order to uniquely identify the households. When merging household and individual level files from the same dataset, this variable can be used to link each individual to the right household.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nA household identifier is generated by ERF, using the variables period, fam_unique_number, and fam_ser_gov to uniquely identify each household.","fid":"F1"},{"vid":"V6","name":"REG","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"15","var_end_pos":"20","var_width":"6","var_rec_seg_no":"1","labl":"Region","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"818001","max":"818035"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Region of residence.","var_catgry":[{"value":"818001","labl":"Cairo","stats":null,"type":null},{"value":"818002","labl":"Alexandria","stats":null,"type":null},{"value":"818003","labl":"Port Said","stats":null,"type":null},{"value":"818004","labl":"Suez","stats":null,"type":null},{"value":"818011","labl":"Damietta","stats":null,"type":null},{"value":"818012","labl":"Dakahlia","stats":null,"type":null},{"value":"818013","labl":"Sharkia","stats":null,"type":null},{"value":"818014","labl":"Kalyoubia","stats":null,"type":null},{"value":"818015","labl":"Kafr-El- sheik","stats":null,"type":null},{"value":"818016","labl":"Gharbia","stats":null,"type":null},{"value":"818017","labl":"Menoufia","stats":null,"type":null},{"value":"818018","labl":"Behira","stats":null,"type":null},{"value":"818019","labl":"Ismaelia","stats":null,"type":null},{"value":"818021","labl":"Giza","stats":null,"type":null},{"value":"818022","labl":"Beni- Suef","stats":null,"type":null},{"value":"818023","labl":"Fayoum","stats":null,"type":null},{"value":"818024","labl":"Menia","stats":null,"type":null},{"value":"818025","labl":"Asyout","stats":null,"type":null},{"value":"818026","labl":"Suhag","stats":null,"type":null},{"value":"818027","labl":"Qena","stats":null,"type":null},{"value":"818028","labl":"Aswan","stats":null,"type":null},{"value":"818029","labl":"Luxor","stats":null,"type":null},{"value":"818031","labl":"Red Sea","stats":null,"type":null},{"value":"818032","labl":"El-wadi El-Gidid","stats":null,"type":null},{"value":"818033","labl":"Matrouh","stats":null,"type":null},{"value":"818034","labl":"North Sinai","stats":null,"type":null},{"value":"818035","labl":"South Sinai","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----------------------\nTo generate the Region and Area of residence, the original variables will be recoded to include the country UN standardized 3 digits code (already used in COUNTRY) in addition to the REG or AREA code, standardized on 3 digits as well.\nThis is to avoid possible mismatches between these two variables' codes across different countries when the datasets are merged.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V7","name":"AREA","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"21","var_end_pos":"27","var_width":"7","var_rec_seg_no":"1","labl":"Area","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"8180101","max":"8183508"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Second geographical variable identifying another aspect of the location of the unit not described in REG such as city or village.","var_catgry":[{"value":"8180101","labl":"EL Tebeen","stats":null,"type":null},{"value":"8180102","labl":"Helwan","stats":null,"type":null},{"value":"8180103","labl":"15th of May","stats":null,"type":null},{"value":"8180104","labl":"Maadi","stats":null,"type":null},{"value":"8180105","labl":"Tora","stats":null,"type":null},{"value":"8180106","labl":"Masr El Kadima","stats":null,"type":null},{"value":"8180107","labl":"Al Sayeda Zeinab","stats":null,"type":null},{"value":"8180108","labl":"El Khalifa","stats":null,"type":null},{"value":"8180109","labl":"Abdeen","stats":null,"type":null},{"value":"8180110","labl":"El Mosky","stats":null,"type":null},{"value":"8180111","labl":"Qasr al-Nil","stats":null,"type":null},{"value":"8180112","labl":"Bolaq","stats":null,"type":null},{"value":"8180113","labl":"El Azbakia","stats":null,"type":null},{"value":"8180114","labl":"Darb 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Qosimah","stats":null,"type":null},{"value":"8183501","labl":"El-Tor","stats":null,"type":null},{"value":"8183502","labl":"Ras Sedr","stats":null,"type":null},{"value":"8183503","labl":"Abu Rudeis","stats":null,"type":null},{"value":"8183504","labl":"Saint Catherine","stats":null,"type":null},{"value":"8183505","labl":"Sharm el-Sheikh","stats":null,"type":null},{"value":"8183506","labl":"Dahab","stats":null,"type":null},{"value":"8183507","labl":"Nuweiba","stats":null,"type":null},{"value":"8183508","labl":"Taba","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----------------------\nTo generate the Region and Area of residence, the original variables will be recoded to include the country UN standardized 3 digits code (already used in COUNTRY) in addition to the REG or AREA code, standardized on 3 digits as well.\nThis is to avoid possible mismatches between these two variables' codes across different countries when the datasets are merged.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe 'AREA' variable (first area level) indicates the qism\/markaz in the original data. The qism classification follows the Guide of Administrative Units in Egypt for the year 2006 as indicated by CAPMAS.","fid":"F1"},{"vid":"V8","name":"AREA_S","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"28","var_end_pos":"36","var_width":"9","var_rec_seg_no":"1","labl":"Second area level","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"818010105","max":"818350301"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Third geographical variable identifying another aspect of the location of the unit not described in REG such as city or village.","var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nTo generate the Region and Area of residence, the original variables will be recoded to include the country UN standardized 3 digits code (already used in COUNTRY) in addition to the REG or AREA code, standardized on 3 digits as well.\nThis is to avoid possible mismatches between these two variables' codes across different countries when the datasets are merged.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe 'AREA_S' variable indicates the second area level, denoted by the variable 'shiakha' in the original data. It follows the Guide of Administrative Units in Egypt for the year 2006 as indicated by CAPMAS.","fid":"F1"},{"vid":"V9","name":"PSUNUM","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"37","var_end_pos":"39","var_width":"3","var_rec_seg_no":"1","labl":"Primary Sampling Unit identifier","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"686"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Anonymous Primary Sampling Unit identifier provided in the dataset.","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":"V10","name":"RURURB","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":"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":"invd"}],"var_txt":"Indicates whether the region is urban\/rural.","var_catgry":[{"value":"0","labl":"Rural","stats":null,"type":null},{"value":"1","labl":"Urban","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), the \"refugee camp\" category is coded \"2\".\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V11","name":"TPNUM","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"41","var_end_pos":"42","var_width":"2","var_rec_seg_no":"1","labl":"Total number of household members","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"21"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Total number of household members","var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe variables should count all household members (males\/females), including those reported as head's non-relative (including domestic workers). \nThese variables should be constructed by aggregating the data provided on the individual-level. \nIn general, summation over all individuals in the household.\nTPNUM = FEMNUM + MALNUM\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nGenerated by ERF","fid":"F1"},{"vid":"V12","name":"MALNUM","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":"Total number of males in the household","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"12"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Total number of males in the household","var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe variables should count all household members (males\/females), including those reported as head's non-relative (including domestic workers). \nThese variables should be constructed by aggregating the data provided on the individual-level. \nIn general, summation over all individuals in the household.\nTPNUM = FEMNUM + MALNUM\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nGenerated by ERF","fid":"F1"},{"vid":"V13","name":"FEMNUM","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"45","var_end_pos":"46","var_width":"2","var_rec_seg_no":"1","labl":"Total number of females in the household","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"13"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Total number of females in the household","var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe variables should count all household members (males\/females), including those reported as head's non-relative (including domestic workers). \nThese variables should be constructed by aggregating the data provided on the individual-level. \nIn general, summation over all individuals in the household.\nTPNUM = FEMNUM + MALNUM\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nGenerated by ERF","fid":"F1"},{"vid":"V14","name":"MALUNEMP_PW","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":"Number of unemployed 15+ males who have previously worked","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"3"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Number of unemployed 15+ males who have previously worked","var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThese variables should be generated for household members who are in the working age population (aged 15 years or older).\nIn the case where no identification can be done between those who have previously worked and those who have never worked before, the household members who are unemployed but reported a previous work experience are identified as \"unemployed who have previously worked,\" and those with no work experience are identified as \"never worked before.\"\nThese variables should be constructed by aggregating the data provided on the individual-level.\nIn general, summation over all unemployed individuals in the household aged 15+ (worked previously and never worked before).\nHUNEMP_PW=FEMUNEMP_PW+MALUNEMP_PW \nHUNEMP_NW=FEMUNEMP_NW+MALUNEMP_NW \n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nGenerated by ERF","fid":"F1"},{"vid":"V15","name":"MALUNEMP_NW","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":"Number of unemployed 15+ males who have never worked","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"4"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Number of unemployed 15+ males who have never worked","var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThese variables should be generated for household members who are in the working age population (aged 15 years or older).\nIn the case where no identification can be done between those who have previously worked and those who have never worked before, the household members who are unemployed but reported a previous work experience are identified as \"unemployed who have previously worked,\" and those with no work experience are identified as \"never worked before.\"\nThese variables should be constructed by aggregating the data provided on the individual-level.\nIn general, summation over all unemployed individuals in the household aged 15+ (worked previously and never worked before).\nHUNEMP_PW=FEMUNEMP_PW+MALUNEMP_PW \nHUNEMP_NW=FEMUNEMP_NW+MALUNEMP_NW \n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nGenerated by ERF","fid":"F1"},{"vid":"V16","name":"FEMUNEMP_PW","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":"Number of unemployed 15+ females who have previously worked","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"3"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Number of unemployed 15+ females who have previously worked","var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThese variables should be generated for household members who are in the working age population (aged 15 years or older).\nIn the case where no identification can be done between those who have previously worked and those who have never worked before, the household members who are unemployed but reported a previous work experience are identified as \"unemployed who have previously worked,\" and those with no work experience are identified as \"never worked before.\"\nThese variables should be constructed by aggregating the data provided on the individual-level.\nIn general, summation over all unemployed individuals in the household aged 15+ (worked previously and never worked before).\nHUNEMP_PW=FEMUNEMP_PW+MALUNEMP_PW \nHUNEMP_NW=FEMUNEMP_NW+MALUNEMP_NW \n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nGenerated by ERF","fid":"F1"},{"vid":"V17","name":"FEMUNEMP_NW","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":"Number of unemployed 15+ females who have never worked","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"4"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Number of unemployed 15+ females who have never worked","var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThese variables should be generated for household members who are in the working age population (aged 15 years or older).\nIn the case where no identification can be done between those who have previously worked and those who have never worked before, the household members who are unemployed but reported a previous work experience are identified as \"unemployed who have previously worked,\" and those with no work experience are identified as \"never worked before.\"\nThese variables should be constructed by aggregating the data provided on the individual-level.\nIn general, summation over all unemployed individuals in the household aged 15+ (worked previously and never worked before).\nHUNEMP_PW=FEMUNEMP_PW+MALUNEMP_PW \nHUNEMP_NW=FEMUNEMP_NW+MALUNEMP_NW \n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nGenerated by ERF","fid":"F1"},{"vid":"V18","name":"HUNEMP_PW","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":"Number of 15+ unemployed household members who have previously worked","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"5"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Number of 15+ unemployed household members  who have previously worked","var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThese variables should be generated for household members who are in the working age population (aged 15 years or older).\nIn the case where no identification can be done between those who have previously worked and those who have never worked before, the household members who are unemployed but reported a previous work experience are identified as \"unemployed who have previously worked,\" and those with no work experience are identified as \"never worked before.\"\nThese variables should be constructed by aggregating the data provided on the individual-level.\nIn general, summation over all unemployed individuals in the household aged 15+ (worked previously and never worked before).\nHUNEMP_PW=FEMUNEMP_PW+MALUNEMP_PW \nHUNEMP_NW=FEMUNEMP_NW+MALUNEMP_NW \n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nGenerated by ERF","fid":"F1"},{"vid":"V19","name":"HUNEMP_NW","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":"Number of 15+ unemployed household members who have never worked","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"4"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Number of 15+ unemployed household members who have never worked","var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThese variables should be generated for household members who are in the working age population (aged 15 years or older).\nIn the case where no identification can be done between those who have previously worked and those who have never worked before, the household members who are unemployed but reported a previous work experience are identified as \"unemployed who have previously worked,\" and those with no work experience are identified as \"never worked before.\"\nThese variables should be constructed by aggregating the data provided on the individual-level.\nIn general, summation over all unemployed individuals in the household aged 15+ (worked previously and never worked before).\nHUNEMP_PW=FEMUNEMP_PW+MALUNEMP_PW \nHUNEMP_NW=FEMUNEMP_NW+MALUNEMP_NW \n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nGenerated by ERF","fid":"F1"},{"vid":"V20","name":"MALINLF","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":"Number of 15+ males in the labor force","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"8"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Number of 15+ males in the labor force","var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThese variables should be generated for household members who are in the working age population (aged 15 years or older), and reported to be either employed or unemployed and seeking a job (active) during the short reference period.\n\nThese variables should be constructed by aggregating the data provided on the individual-level.\nIn general, summation over all individuals 15+ in the labor force in the household.\nHINLF = FEMINLF + MALINLF \n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nGenerated by ERF","fid":"F1"},{"vid":"V21","name":"FEMINLF","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":"Number of 15+ females in the labor force","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"7"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Number of 15+ females in the labor force","var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThese variables should be generated for household members who are in the working age population (aged 15 years or older), and reported to be either employed or unemployed and seeking a job (active) during the short reference period.\n\nThese variables should be constructed by aggregating the data provided on the individual-level.\nIn general, summation over all individuals 15+ in the labor force in the household.\nHINLF = FEMINLF + MALINLF \n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nGenerated by ERF","fid":"F1"},{"vid":"V22","name":"HINLF","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":"Number of 15+ household members in the labor force","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"9"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Number of 15+ household members in the labor force","var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThese variables should be generated for household members who are in the working age population (aged 15 years or older), and reported to be either employed or unemployed and seeking a job (active) during the short reference period.\n\nThese variables should be constructed by aggregating the data provided on the individual-level.\nIn general, summation over all individuals 15+ in the labor force in the household.\nHINLF = FEMINLF + MALINLF \n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nGenerated by ERF","fid":"F1"},{"vid":"V23","name":"MALOUTLF","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":"Number of 15+ males out of labor force","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"6"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Number of 15+ males out of labor force","var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThese variables should be generated for household members who are in the working age population (aged 15 years or older) and inactive with respect to their relation to the labor force during the short reference period (unemployed and able to work but neither want nor seeking work, student, housewife, homemaker, retired, disabled, old age, etc.).\n\nThese variables should be constructed by aggregating the data provided on the individual-level.\nIn general, summation over all individuals 15+ and out of labor force in the household.\nHOUTLF = FEMOUTLF + MALOUTLF \n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nGenerated by ERF","fid":"F1"},{"vid":"V24","name":"FEMOUTLF","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":"Number of 15+ females out of labor force","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"7"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Number of 15+ females out of labor force","var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThese variables should be generated for household members who are in the working age population (aged 15 years or older) and inactive with respect to their relation to the labor force during the short reference period (unemployed and able to work but neither want nor seeking work, student, housewife, homemaker, retired, disabled, old age, etc.).\n\nThese variables should be constructed by aggregating the data provided on the individual-level.\nIn general, summation over all individuals 15+ and out of labor force in the household.\nHOUTLF = FEMOUTLF + MALOUTLF \n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nGenerated by ERF","fid":"F1"},{"vid":"V25","name":"HOUTLF","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":"Number of 15+ household members out of labor force","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"9"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Number of 15+ household members out of labor force","var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThese variables should be generated for household members who are in the working age population (aged 15 years or older) and inactive with respect to their relation to the labor force during the short reference period (unemployed and able to work but neither want nor seeking work, student, housewife, homemaker, retired, disabled, old age, etc.).\n\nThese variables should be constructed by aggregating the data provided on the individual-level.\nIn general, summation over all individuals 15+ and out of labor force in the household.\nHOUTLF = FEMOUTLF + MALOUTLF \n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nGenerated by ERF","fid":"F1"},{"vid":"V26","name":"AGEHD","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"59","var_end_pos":"60","var_width":"2","var_rec_seg_no":"1","labl":"Age of the head","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"13","max":"99"}],"var_universe":"All Heads","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Age of the head in completed 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, the age may be calculated at a certain reference date (e.g., 31 December of the year preceding the survey). 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).\nIn some surveys, the date of birth is reported instead of reporting the age value. In such cases, it should be computed based on the date of birth and the survey year.\n\nWhen the original dataset has only age categories, age is calculated as the midpoint of the range provided.\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V27","name":"AGESP_1","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"61","var_end_pos":"62","var_width":"2","var_rec_seg_no":"1","labl":"Age of the first spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"16","max":"90"}],"var_universe":"All Spouses","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Age of the first spouse in completed 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, the age may be calculated at a certain reference date (e.g., 31 December of the year preceding the survey). 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).\nIn some surveys, the date of birth is reported instead of reporting the age value. In such cases, it should be computed based on the date of birth and the survey year.\n\nWhen the original dataset has only age categories, age is calculated as the midpoint of the range provided.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V28","name":"AGESP_2","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"63","var_end_pos":"64","var_width":"2","var_rec_seg_no":"1","labl":"Age of the second spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"17","max":"75"}],"var_universe":"All Spouses","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Age of the second spouse in completed 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, the age may be calculated at a certain reference date (e.g., 31 December of the year preceding the survey). 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).\nIn some surveys, the date of birth is reported instead of reporting the age value. In such cases, it should be computed based on the date of birth and the survey year.\n\nWhen the original dataset has only age categories, age is calculated as the midpoint of the range provided.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V29","name":"AGESP_3","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"65","var_end_pos":"66","var_width":"2","var_rec_seg_no":"1","labl":"Age of the third spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"32","max":"50"}],"var_universe":"All Spouses","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Age of the third spouse in completed 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, the age may be calculated at a certain reference date (e.g., 31 December of the year preceding the survey). 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).\nIn some surveys, the date of birth is reported instead of reporting the age value. In such cases, it should be computed based on the date of birth and the survey year.\n\nWhen the original dataset has only age categories, age is calculated as the midpoint of the range provided.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V30","name":"SEXHD","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"67","var_end_pos":"67","var_width":"1","var_rec_seg_no":"1","labl":"Gender of the 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":"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----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V31","name":"SEXSP_1","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"68","var_end_pos":"68","var_width":"1","var_rec_seg_no":"1","labl":"Gender of the 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":"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----------------------\nFor all spouses except the first spouse, the gender will be always 2 (female).\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V32","name":"SEXSP_2","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"69","var_end_pos":"69","var_width":"1","var_rec_seg_no":"1","labl":"Gender of the 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":"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----------------------\nFor all spouses except the first spouse, the gender will be always 2 (female).\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V33","name":"SEXSP_3","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"70","var_end_pos":"70","var_width":"1","var_rec_seg_no":"1","labl":"Gender of the 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":"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----------------------\nFor all spouses except the first spouse, the gender will be always 2 (female).\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V34","name":"MARTHD","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"71","var_end_pos":"72","var_width":"2","var_rec_seg_no":"1","labl":"Marital status of the head [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Heads aged 15+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"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},{"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----------------------\nThis variable should not be imputed for household members for whom the information was not collected (i.e. it can only be generated for those to whom the question was asked since the youngest age at which the information is collected may differ depending on the survey).\nMarried only refers to formal marriages (including legally married). \nPolygamous unions include males with multiple spouses. The number of spouses in the household can be used to indicate polygamy.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V35","name":"MARTHD_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"73","var_end_pos":"75","var_width":"3","var_rec_seg_no":"1","labl":"Marital status of the head [Detailed version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"100","max":"999"}],"var_universe":"Heads aged 15+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Legal administrative status concerning marriage of the head (detailed version of coding).","var_catgry":[{"value":"100","labl":"Never married","stats":null,"type":null},{"value":"200","labl":"Married monogamous","stats":null,"type":null},{"value":"210","labl":"Legally married","stats":null,"type":null},{"value":"220","labl":"Married","stats":null,"type":null},{"value":"300","labl":"Married polygamous","stats":null,"type":null},{"value":"400","labl":"Divorced\/Separated","stats":null,"type":null},{"value":"410","labl":"Separated","stats":null,"type":null},{"value":"420","labl":"Divorced","stats":null,"type":null},{"value":"500","labl":"Widowed","stats":null,"type":null},{"value":"999","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----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V36","name":"LITHD","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":"Literacy status of the head","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Heads aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"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},{"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----------------------\nAn individual is considered literate if he\/she can both read and write and not just one or the other. A semi-literate individual (one who can read, but cannot write) is said to be illiterate. In the case where the survey only asks whether an individual can read but does not ask if they can write, and in the case that there is no information in the questionnaire about the reading and writing ability, the literacy status cannot be determined, and these are coded as missing. \nIf there are no questions about the reading and writing abilities, but the educational attainment is elementary or upper, the individual is considered literate.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe code \"1\" in the original variable indicating those below the question age category were recoded missing.","fid":"F1"},{"vid":"V37","name":"LITSP_1","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":"Literacy status of the first spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"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},{"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----------------------\nAn individual is considered literate if he\/she can both read and write and not just one or the other. A semi-literate individual (one who can read, but cannot write) is said to be illiterate. In the case where the survey only asks whether an individual can read but does not ask if they can write, and in the case that there is no information in the questionnaire about the reading and writing ability, the literacy status cannot be determined, and these are coded as missing. \nIf there are no questions about the reading and writing abilities, but the educational attainment is elementary or upper, the individual is considered literate.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe code \"1\" in the original variable indicating those below the question age category were recoded missing.","fid":"F1"},{"vid":"V38","name":"LITSP_2","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":"Literacy status of the second spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"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},{"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----------------------\nAn individual is considered literate if he\/she can both read and write and not just one or the other. A semi-literate individual (one who can read, but cannot write) is said to be illiterate. In the case where the survey only asks whether an individual can read but does not ask if they can write, and in the case that there is no information in the questionnaire about the reading and writing ability, the literacy status cannot be determined, and these are coded as missing. \nIf there are no questions about the reading and writing abilities, but the educational attainment is elementary or upper, the individual is considered literate.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe code \"1\" in the original variable indicating those below the question age category were recoded missing.","fid":"F1"},{"vid":"V39","name":"LITSP_3","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":"Literacy status of the third spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"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},{"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----------------------\nAn individual is considered literate if he\/she can both read and write and not just one or the other. A semi-literate individual (one who can read, but cannot write) is said to be illiterate. In the case where the survey only asks whether an individual can read but does not ask if they can write, and in the case that there is no information in the questionnaire about the reading and writing ability, the literacy status cannot be determined, and these are coded as missing. \nIf there are no questions about the reading and writing abilities, but the educational attainment is elementary or upper, the individual is considered literate.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe code \"1\" in the original variable indicating those below the question age category were recoded missing.","fid":"F1"},{"vid":"V40","name":"EDUHD","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":"Educational level of the head [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Heads aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"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\/Lower secondary","stats":null,"type":null},{"value":"3","labl":"Secondary","stats":null,"type":null},{"value":"4","labl":"Post secondary or equivalent","stats":null,"type":null},{"value":"5","labl":"University","stats":null,"type":null},{"value":"6","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----------------------\nThis variable is generated based on the highest educational attainment variable.\nPrimary corresponds to elementary, and lower secondary to preparatory\/second stage of basic education.\nIf there is no information on the highest level of education completed, the variable can be constructed using the diploma level, and the years of education, if available. \nWhen using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attended 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 individual never attended school; it means that the individual did not complete the first level of education (elementary). \n\"None\" corresponds either to those currently enrolled in primary but didn't get the diploma, those illiterate or can read and write, and those in informal schools, such as Koranic schools, traditional schools, vocational training or adult programs etc. \nIf there is no question on the 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.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe code \"1\" in the original variable indicating those below the question age category were recoded missing.","fid":"F1"},{"vid":"V41","name":"EDUSP_1","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":"Educational level of the first spouse [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"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\/Lower secondary","stats":null,"type":null},{"value":"3","labl":"Secondary","stats":null,"type":null},{"value":"4","labl":"Post secondary or equivalent","stats":null,"type":null},{"value":"5","labl":"University","stats":null,"type":null},{"value":"6","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----------------------\nThis variable is generated based on the highest educational attainment variable.\nPrimary corresponds to elementary, and lower secondary to preparatory\/second stage of basic education.\nIf there is no information on the highest level of education completed, the variable can be constructed using the diploma level, and the years of education, if available. \nWhen using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attended 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 individual never attended school; it means that the individual did not complete the first level of education (elementary). \n\"None\" corresponds either to those currently enrolled in primary but didn't get the diploma, those illiterate or can read and write, and those in informal schools, such as Koranic schools, traditional schools, vocational training or adult programs etc. \nIf there is no question on the 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.\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe code \"1\" in the original variable indicating those below the question age category were recoded missing.","fid":"F1"},{"vid":"V42","name":"EDUSP_2","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":"Educational level of the second spouse [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"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\/Lower secondary","stats":null,"type":null},{"value":"3","labl":"Secondary","stats":null,"type":null},{"value":"4","labl":"Post secondary or equivalent","stats":null,"type":null},{"value":"5","labl":"University","stats":null,"type":null},{"value":"6","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----------------------\nThis variable is generated based on the highest educational attainment variable.\nPrimary corresponds to elementary, and lower secondary to preparatory\/second stage of basic education.\nIf there is no information on the highest level of education completed, the variable can be constructed using the diploma level, and the years of education, if available. \nWhen using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attended 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 individual never attended school; it means that the individual did not complete the first level of education (elementary). \n\"None\" corresponds either to those currently enrolled in primary but didn't get the diploma, those illiterate or can read and write, and those in informal schools, such as Koranic schools, traditional schools, vocational training or adult programs etc. \nIf there is no question on the 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.\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe code \"1\" in the original variable indicating those below the question age category were recoded missing.","fid":"F1"},{"vid":"V43","name":"EDUSP_3","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":"Educational level of the third spouse [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"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\/Lower secondary","stats":null,"type":null},{"value":"3","labl":"Secondary","stats":null,"type":null},{"value":"4","labl":"Post secondary or equivalent","stats":null,"type":null},{"value":"5","labl":"University","stats":null,"type":null},{"value":"6","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----------------------\nThis variable is generated based on the highest educational attainment variable.\nPrimary corresponds to elementary, and lower secondary to preparatory\/second stage of basic education.\nIf there is no information on the highest level of education completed, the variable can be constructed using the diploma level, and the years of education, if available. \nWhen using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attended 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 individual never attended school; it means that the individual did not complete the first level of education (elementary). \n\"None\" corresponds either to those currently enrolled in primary but didn't get the diploma, those illiterate or can read and write, and those in informal schools, such as Koranic schools, traditional schools, vocational training or adult programs etc. \nIf there is no question on the 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.\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe code \"1\" in the original variable indicating those below the question age category were recoded missing.","fid":"F1"},{"vid":"V44","name":"EDUHD_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"92","var_end_pos":"94","var_width":"3","var_rec_seg_no":"1","labl":"Educational level of the head [Detailed version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"100","max":"999"}],"var_universe":"Heads aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Highest level of education attained (detailed version of coding) by the head.","var_catgry":[{"value":"100","labl":"None","stats":null,"type":null},{"value":"110","labl":"Illiterate","stats":null,"type":null},{"value":"120","labl":"Read only","stats":null,"type":null},{"value":"130","labl":"Read & write","stats":null,"type":null},{"value":"140","labl":"Literacy classes\/certificate","stats":null,"type":null},{"value":"150","labl":"Never attended school","stats":null,"type":null},{"value":"160","labl":"KG","stats":null,"type":null},{"value":"170","labl":"Koranic KG (Kouttab)","stats":null,"type":null},{"value":"180","labl":"Attending elementary school and did not complete first level","stats":null,"type":null},{"value":"200","labl":"Primary\/Lower secondary","stats":null,"type":null},{"value":"210","labl":"Primary","stats":null,"type":null},{"value":"220","labl":"Preparatory","stats":null,"type":null},{"value":"230","labl":"Lower secondary","stats":null,"type":null},{"value":"240","labl":"Professional\/Vocational below secondary education","stats":null,"type":null},{"value":"300","labl":"Secondary","stats":null,"type":null},{"value":"310","labl":"Academic secondary","stats":null,"type":null},{"value":"320","labl":"Professional\/Vocational secondary","stats":null,"type":null},{"value":"400","labl":"Post secondary or equivalent","stats":null,"type":null},{"value":"500","labl":"University","stats":null,"type":null},{"value":"600","labl":"Postgraduate","stats":null,"type":null},{"value":"610","labl":"High diploma","stats":null,"type":null},{"value":"620","labl":"Masters","stats":null,"type":null},{"value":"630","labl":"PhD","stats":null,"type":null},{"value":"999","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----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe code \"1\" in the original variable indicating those below the question age category were recoded missing.","fid":"F1"},{"vid":"V45","name":"EDUSP_1_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"95","var_end_pos":"97","var_width":"3","var_rec_seg_no":"1","labl":"Educational level of the first spouse [Detailed version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"100","max":"999"}],"var_universe":"Spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Highest level of education attained (detailed version of coding) by the first spouse.","var_catgry":[{"value":"100","labl":"None","stats":null,"type":null},{"value":"110","labl":"Illiterate","stats":null,"type":null},{"value":"120","labl":"Read only","stats":null,"type":null},{"value":"130","labl":"Read & write","stats":null,"type":null},{"value":"140","labl":"Literacy classes\/certificate","stats":null,"type":null},{"value":"150","labl":"Never attended school","stats":null,"type":null},{"value":"160","labl":"KG","stats":null,"type":null},{"value":"170","labl":"Koranic KG (Kouttab)","stats":null,"type":null},{"value":"180","labl":"Attending elementary school and did not complete first level","stats":null,"type":null},{"value":"200","labl":"Primary\/Lower secondary","stats":null,"type":null},{"value":"210","labl":"Primary","stats":null,"type":null},{"value":"220","labl":"Preparatory","stats":null,"type":null},{"value":"230","labl":"Lower secondary","stats":null,"type":null},{"value":"240","labl":"Professional\/Vocational below secondary education","stats":null,"type":null},{"value":"300","labl":"Secondary","stats":null,"type":null},{"value":"310","labl":"Academic secondary","stats":null,"type":null},{"value":"320","labl":"Professional\/Vocational secondary","stats":null,"type":null},{"value":"400","labl":"Post secondary or equivalent","stats":null,"type":null},{"value":"500","labl":"University","stats":null,"type":null},{"value":"600","labl":"Postgraduate","stats":null,"type":null},{"value":"610","labl":"High diploma","stats":null,"type":null},{"value":"620","labl":"Masters","stats":null,"type":null},{"value":"630","labl":"PhD","stats":null,"type":null},{"value":"999","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----------------------\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe code \"1\" in the original variable indicating those below the question age category were recoded missing.","fid":"F1"},{"vid":"V46","name":"EDUSP_2_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"98","var_end_pos":"100","var_width":"3","var_rec_seg_no":"1","labl":"Educational level of the second spouse [Detailed version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"100","max":"999"}],"var_universe":"Spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Highest level of education attained (detailed version of coding) by the second spouse.","var_catgry":[{"value":"100","labl":"None","stats":null,"type":null},{"value":"110","labl":"Illiterate","stats":null,"type":null},{"value":"120","labl":"Read only","stats":null,"type":null},{"value":"130","labl":"Read & write","stats":null,"type":null},{"value":"140","labl":"Literacy classes\/certificate","stats":null,"type":null},{"value":"150","labl":"Never attended school","stats":null,"type":null},{"value":"160","labl":"KG","stats":null,"type":null},{"value":"170","labl":"Koranic KG (Kouttab)","stats":null,"type":null},{"value":"180","labl":"Attending elementary school and did not complete first level","stats":null,"type":null},{"value":"200","labl":"Primary\/Lower secondary","stats":null,"type":null},{"value":"210","labl":"Primary","stats":null,"type":null},{"value":"220","labl":"Preparatory","stats":null,"type":null},{"value":"230","labl":"Lower secondary","stats":null,"type":null},{"value":"240","labl":"Professional\/Vocational below secondary education","stats":null,"type":null},{"value":"300","labl":"Secondary","stats":null,"type":null},{"value":"310","labl":"Academic secondary","stats":null,"type":null},{"value":"320","labl":"Professional\/Vocational secondary","stats":null,"type":null},{"value":"400","labl":"Post secondary or equivalent","stats":null,"type":null},{"value":"500","labl":"University","stats":null,"type":null},{"value":"600","labl":"Postgraduate","stats":null,"type":null},{"value":"610","labl":"High diploma","stats":null,"type":null},{"value":"620","labl":"Masters","stats":null,"type":null},{"value":"630","labl":"PhD","stats":null,"type":null},{"value":"999","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----------------------\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe code \"1\" in the original variable indicating those below the question age category were recoded missing.","fid":"F1"},{"vid":"V47","name":"EDUSP_3_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"101","var_end_pos":"103","var_width":"3","var_rec_seg_no":"1","labl":"Educational level of the third spouse [Detailed version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"100","max":"999"}],"var_universe":"Spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Highest level of education attained (detailed version of coding) by the third spouse.","var_catgry":[{"value":"100","labl":"None","stats":null,"type":null},{"value":"110","labl":"Illiterate","stats":null,"type":null},{"value":"120","labl":"Read only","stats":null,"type":null},{"value":"130","labl":"Read & write","stats":null,"type":null},{"value":"140","labl":"Literacy classes\/certificate","stats":null,"type":null},{"value":"150","labl":"Never attended school","stats":null,"type":null},{"value":"160","labl":"KG","stats":null,"type":null},{"value":"170","labl":"Koranic KG (Kouttab)","stats":null,"type":null},{"value":"180","labl":"Attending elementary school and did not complete first level","stats":null,"type":null},{"value":"200","labl":"Primary\/Lower secondary","stats":null,"type":null},{"value":"210","labl":"Primary","stats":null,"type":null},{"value":"220","labl":"Preparatory","stats":null,"type":null},{"value":"230","labl":"Lower secondary","stats":null,"type":null},{"value":"240","labl":"Professional\/Vocational below secondary education","stats":null,"type":null},{"value":"300","labl":"Secondary","stats":null,"type":null},{"value":"310","labl":"Academic secondary","stats":null,"type":null},{"value":"320","labl":"Professional\/Vocational secondary","stats":null,"type":null},{"value":"400","labl":"Post secondary or equivalent","stats":null,"type":null},{"value":"500","labl":"University","stats":null,"type":null},{"value":"600","labl":"Postgraduate","stats":null,"type":null},{"value":"610","labl":"High diploma","stats":null,"type":null},{"value":"620","labl":"Masters","stats":null,"type":null},{"value":"630","labl":"PhD","stats":null,"type":null},{"value":"999","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----------------------\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe code \"1\" in the original variable indicating those below the question age category were recoded missing.","fid":"F1"},{"vid":"V48","name":"MASHD","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":"Main activity status of the head [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Heads aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"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----------------------\n Unlike LFS, the main distinction in MAS is between \"employed\" and \"not employed.\"\n- \"Employed\": refers to those who, during the reference period, experienced any employment (any type or any extent) - even just one occasional hour of paid work or irregular unpaid family work (ILO definition). \n- \"Not Employed\": The rationale is that the individuals do not generally spend their time \"being unemployed,\" but use the unemployment time 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 their own category among the \"Not Employed.\"\nAccordingly, \"Not Employed\" is classified into:\n - Unemployed - individuals who are not employed comprise all who are \"not in employment\" but \"currently available to take up employment\" and carry out \"activities to \n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V49","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 of the first spouse [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Spouses aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"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----------------------\n Unlike LFS, the main distinction in MAS is between \"employed\" and \"not employed.\"\n- \"Employed\": refers to those who, during the reference period, experienced any employment (any type or any extent) - even just one occasional hour of paid work or irregular unpaid family work (ILO definition). \n- \"Not Employed\": The rationale is that the individuals do not generally spend their time \"being unemployed,\" but use the unemployment time 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 their own category among the \"Not Employed.\"\nAccordingly, \"Not Employed\" is classified into:\n - Unemployed - individuals who are not employed comprise all who are \"not in employment\" but \"currently available to take up employment\" and carry out \"activities to \n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V50","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 of the second spouse [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Spouses aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"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----------------------\n Unlike LFS, the main distinction in MAS is between \"employed\" and \"not employed.\"\n- \"Employed\": refers to those who, during the reference period, experienced any employment (any type or any extent) - even just one occasional hour of paid work or irregular unpaid family work (ILO definition). \n- \"Not Employed\": The rationale is that the individuals do not generally spend their time \"being unemployed,\" but use the unemployment time 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 their own category among the \"Not Employed.\"\nAccordingly, \"Not Employed\" is classified into:\n - Unemployed - individuals who are not employed comprise all who are \"not in employment\" but \"currently available to take up employment\" and carry out \"activities to \n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V51","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 of the third spouse [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Spouses aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"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----------------------\n Unlike LFS, the main distinction in MAS is between \"employed\" and \"not employed.\"\n- \"Employed\": refers to those who, during the reference period, experienced any employment (any type or any extent) - even just one occasional hour of paid work or irregular unpaid family work (ILO definition). \n- \"Not Employed\": The rationale is that the individuals do not generally spend their time \"being unemployed,\" but use the unemployment time 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 their own category among the \"Not Employed.\"\nAccordingly, \"Not Employed\" is classified into:\n - Unemployed - individuals who are not employed comprise all who are \"not in employment\" but \"currently available to take up employment\" and carry out \"activities to \n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V52","name":"MASHD_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"112","var_end_pos":"114","var_width":"3","var_rec_seg_no":"1","labl":"Main activity status of the head [Detailed version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"100","max":"999"}],"var_universe":"Heads aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Main activity status of the head during the survey period (detailed version of coding).","var_catgry":[{"value":"100","labl":"Employed","stats":null,"type":null},{"value":"110","labl":"Employed but temporary absent from work","stats":null,"type":null},{"value":"111","labl":"Sick leave\/Ill","stats":null,"type":null},{"value":"112","labl":"Vacation\/Official vacation","stats":null,"type":null},{"value":"113","labl":"Temporary stoppage of the industry","stats":null,"type":null},{"value":"114","labl":"Travel","stats":null,"type":null},{"value":"115","labl":"Strike\/Curfew","stats":null,"type":null},{"value":"120","labl":"Managing own properties","stats":null,"type":null},{"value":"130","labl":"Employed but temporary unpaid","stats":null,"type":null},{"value":"131","labl":"Arranges to take up paid\/self- employment activity","stats":null,"type":null},{"value":"132","labl":"Waiting for the start date of an agreed work","stats":null,"type":null},{"value":"133","labl":"Waiting to have clients","stats":null,"type":null},{"value":"134","labl":"Unpaid leave for more than one year","stats":null,"type":null},{"value":"135","labl":"Waiting to go back to previous job","stats":null,"type":null},{"value":"200","labl":"Unemployed","stats":null,"type":null},{"value":"210","labl":"Unemployed ever worked (seeking a job)","stats":null,"type":null},{"value":"220","labl":"Unemployed never worked (seeking a job)","stats":null,"type":null},{"value":"230","labl":"Unemployed (not seeking a job)","stats":null,"type":null},{"value":"231","labl":"Awaiting a recall to a previous job (temporary laid off)","stats":null,"type":null},{"value":"232","labl":"Awaiting work applications\/interviews\/competitions results","stats":null,"type":null},{"value":"233","labl":"Unable to issue work permission due to political circumstanc","stats":null,"type":null},{"value":"234","labl":"Not able to seek a job due to closure\/curfew","stats":null,"type":null},{"value":"235","labl":"In military service","stats":null,"type":null},{"value":"300","labl":"Homemaker (Housewife)","stats":null,"type":null},{"value":"310","labl":"Homemaker","stats":null,"type":null},{"value":"320","labl":"Housewife","stats":null,"type":null},{"value":"400","labl":"Student","stats":null,"type":null},{"value":"500","labl":"Pensioners\/retired\/disabled","stats":null,"type":null},{"value":"510","labl":"Pensioners","stats":null,"type":null},{"value":"520","labl":"Retired","stats":null,"type":null},{"value":"530","labl":"Disabled","stats":null,"type":null},{"value":"540","labl":"Unable to work","stats":null,"type":null},{"value":"550","labl":"Old","stats":null,"type":null},{"value":"560","labl":"Disabled\/Old\/Ill","stats":null,"type":null},{"value":"600","labl":"Others","stats":null,"type":null},{"value":"610","labl":"Out of labor force","stats":null,"type":null},{"value":"620","labl":"Discouraged unemployment","stats":null,"type":null},{"value":"630","labl":"Not working and not looking for a job","stats":null,"type":null},{"value":"640","labl":"Have income\/revenue\/means","stats":null,"type":null},{"value":"650","labl":"In prison","stats":null,"type":null},{"value":"660","labl":"In hospital","stats":null,"type":null},{"value":"670","labl":"Landlord","stats":null,"type":null},{"value":"680","labl":"Family responsibilities","stats":null,"type":null},{"value":"999","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----------------------\nAmong the employed, the variable should distinguish between those who are actually employed, those who are temporarily absent from work (by reason of absence if available), those managing their own properties and those who are engaged in a job opportunity but are temporarily unpaid.\n\nSimilarly, for the unemployed, the variable, if possible, should identify those who have worked before and those who have never worked, in addition to the unemployed who are not seeking a job, with the reason for why the individual is not looking for a job opportunity.\n\nThe code 113 indicating temporary stoppage of the industry may also indicate an activity reduction or a temporary closure, which means that the employing entity might not be working in full capacity. This might be due to a lack in the number of customers or to a shortage in demand. In both cases, this should always imply that the individual is still employed (temporarily absent) since he\/she is still paid\/earn income.\n\nThe reasons for which the person is identified to be a discouraged unemployed (Code 620) are reported in detail in the variable (NOTSRCH_R).\n \nDiscouraged unemployment includes those who are available and want to work but given up on searching for a job because they found no suitable employment options and\/or were met with lack of success when applying.\n\nFamily responsibilities includes taking caring for children, the incapacitated or elderly.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V53","name":"MASSP_1_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"115","var_end_pos":"117","var_width":"3","var_rec_seg_no":"1","labl":"Main activity status of the first spouse [Detailed version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"100","max":"999"}],"var_universe":"Spouses aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Main activity status of the first spouse during the survey period (detailed version of coding).","var_catgry":[{"value":"100","labl":"Employed","stats":null,"type":null},{"value":"110","labl":"Employed but temporary absent from work","stats":null,"type":null},{"value":"111","labl":"Sick leave\/Ill","stats":null,"type":null},{"value":"112","labl":"Vacation\/Official vacation","stats":null,"type":null},{"value":"113","labl":"Temporary stoppage of the industry","stats":null,"type":null},{"value":"114","labl":"Travel","stats":null,"type":null},{"value":"115","labl":"Strike\/Curfew","stats":null,"type":null},{"value":"120","labl":"Managing own properties","stats":null,"type":null},{"value":"130","labl":"Employed but temporary unpaid","stats":null,"type":null},{"value":"131","labl":"Arranges to take up paid\/self- employment activity","stats":null,"type":null},{"value":"132","labl":"Waiting for the start date of an agreed work","stats":null,"type":null},{"value":"133","labl":"Waiting to have clients","stats":null,"type":null},{"value":"134","labl":"Unpaid leave for more than one year","stats":null,"type":null},{"value":"135","labl":"Waiting to go back to previous job","stats":null,"type":null},{"value":"200","labl":"Unemployed","stats":null,"type":null},{"value":"210","labl":"Unemployed ever worked (seeking a job)","stats":null,"type":null},{"value":"220","labl":"Unemployed never worked (seeking a job)","stats":null,"type":null},{"value":"230","labl":"Unemployed (not seeking a job)","stats":null,"type":null},{"value":"231","labl":"Awaiting a recall to a previous job (temporary laid off)","stats":null,"type":null},{"value":"232","labl":"Awaiting work applications\/interviews\/competitions results","stats":null,"type":null},{"value":"233","labl":"Unable to issue work permission due to political circumstanc","stats":null,"type":null},{"value":"234","labl":"Not able to seek a job due to closure\/curfew","stats":null,"type":null},{"value":"235","labl":"In military service","stats":null,"type":null},{"value":"300","labl":"Homemaker (Housewife)","stats":null,"type":null},{"value":"310","labl":"Homemaker","stats":null,"type":null},{"value":"320","labl":"Housewife","stats":null,"type":null},{"value":"400","labl":"Student","stats":null,"type":null},{"value":"500","labl":"Pensioners\/retired\/disabled","stats":null,"type":null},{"value":"510","labl":"Pensioners","stats":null,"type":null},{"value":"520","labl":"Retired","stats":null,"type":null},{"value":"530","labl":"Disabled","stats":null,"type":null},{"value":"540","labl":"Unable to work","stats":null,"type":null},{"value":"550","labl":"Old","stats":null,"type":null},{"value":"560","labl":"Disabled\/Old\/Ill","stats":null,"type":null},{"value":"600","labl":"Others","stats":null,"type":null},{"value":"610","labl":"Out of labor force","stats":null,"type":null},{"value":"620","labl":"Discouraged unemployment","stats":null,"type":null},{"value":"630","labl":"Not working and not looking for a job","stats":null,"type":null},{"value":"640","labl":"Have income\/revenue\/means","stats":null,"type":null},{"value":"650","labl":"In prison","stats":null,"type":null},{"value":"660","labl":"In hospital","stats":null,"type":null},{"value":"670","labl":"Landlord","stats":null,"type":null},{"value":"680","labl":"Family responsibilities","stats":null,"type":null},{"value":"999","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----------------------\nAmong the employed, the variable should distinguish between those who are actually employed, those who are temporarily absent from work (by reason of absence if available), those managing their own properties and those who are engaged in a job opportunity but are temporarily unpaid.\n\nSimilarly, for the unemployed, the variable, if possible, should identify those who have worked before and those who have never worked, in addition to the unemployed who are not seeking a job, with the reason for why the individual is not looking for a job opportunity.\n\nThe code 113 indicating temporary stoppage of the industry may also indicate an activity reduction or a temporary closure, which means that the employing entity might not be working in full capacity. This might be due to a lack in the number of customers or to a shortage in demand. In both cases, this should always imply that the individual is still employed (temporarily absent) since he\/she is still paid\/earn income.\n\nThe reasons for which the person is identified to be a discouraged unemployed (Code 620) are reported in detail in the variable (NOTSRCH_R).\n \nDiscouraged unemployment includes those who are available and want to work but given up on searching for a job because they found no suitable employment options and\/or were met with lack of success when applying.\n\nFamily responsibilities includes taking caring for children, the incapacitated or elderly.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V54","name":"MASSP_2_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"118","var_end_pos":"120","var_width":"3","var_rec_seg_no":"1","labl":"Main activity status of the second spouse [Detailed version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"100","max":"999"}],"var_universe":"Spouses aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Main activity status of the second spouse during the survey period (detailed version of coding).","var_catgry":[{"value":"100","labl":"Employed","stats":null,"type":null},{"value":"110","labl":"Employed but temporary absent from work","stats":null,"type":null},{"value":"111","labl":"Sick leave\/Ill","stats":null,"type":null},{"value":"112","labl":"Vacation\/Official vacation","stats":null,"type":null},{"value":"113","labl":"Temporary stoppage of the industry","stats":null,"type":null},{"value":"114","labl":"Travel","stats":null,"type":null},{"value":"115","labl":"Strike\/Curfew","stats":null,"type":null},{"value":"120","labl":"Managing own properties","stats":null,"type":null},{"value":"130","labl":"Employed but temporary unpaid","stats":null,"type":null},{"value":"131","labl":"Arranges to take up paid\/self- employment activity","stats":null,"type":null},{"value":"132","labl":"Waiting for the start date of an agreed work","stats":null,"type":null},{"value":"133","labl":"Waiting to have clients","stats":null,"type":null},{"value":"134","labl":"Unpaid leave for more than one year","stats":null,"type":null},{"value":"135","labl":"Waiting to go back to previous job","stats":null,"type":null},{"value":"200","labl":"Unemployed","stats":null,"type":null},{"value":"210","labl":"Unemployed ever worked (seeking a job)","stats":null,"type":null},{"value":"220","labl":"Unemployed never worked (seeking a job)","stats":null,"type":null},{"value":"230","labl":"Unemployed (not seeking a job)","stats":null,"type":null},{"value":"231","labl":"Awaiting a recall to a previous job (temporary laid off)","stats":null,"type":null},{"value":"232","labl":"Awaiting work applications\/interviews\/competitions results","stats":null,"type":null},{"value":"233","labl":"Unable to issue work permission due to political circumstanc","stats":null,"type":null},{"value":"234","labl":"Not able to seek a job due to closure\/curfew","stats":null,"type":null},{"value":"235","labl":"In military service","stats":null,"type":null},{"value":"300","labl":"Homemaker (Housewife)","stats":null,"type":null},{"value":"310","labl":"Homemaker","stats":null,"type":null},{"value":"320","labl":"Housewife","stats":null,"type":null},{"value":"400","labl":"Student","stats":null,"type":null},{"value":"500","labl":"Pensioners\/retired\/disabled","stats":null,"type":null},{"value":"510","labl":"Pensioners","stats":null,"type":null},{"value":"520","labl":"Retired","stats":null,"type":null},{"value":"530","labl":"Disabled","stats":null,"type":null},{"value":"540","labl":"Unable to work","stats":null,"type":null},{"value":"550","labl":"Old","stats":null,"type":null},{"value":"560","labl":"Disabled\/Old\/Ill","stats":null,"type":null},{"value":"600","labl":"Others","stats":null,"type":null},{"value":"610","labl":"Out of labor force","stats":null,"type":null},{"value":"620","labl":"Discouraged unemployment","stats":null,"type":null},{"value":"630","labl":"Not working and not looking for a job","stats":null,"type":null},{"value":"640","labl":"Have income\/revenue\/means","stats":null,"type":null},{"value":"650","labl":"In prison","stats":null,"type":null},{"value":"660","labl":"In hospital","stats":null,"type":null},{"value":"670","labl":"Landlord","stats":null,"type":null},{"value":"680","labl":"Family responsibilities","stats":null,"type":null},{"value":"999","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----------------------\nAmong the employed, the variable should distinguish between those who are actually employed, those who are temporarily absent from work (by reason of absence if available), those managing their own properties and those who are engaged in a job opportunity but are temporarily unpaid.\n\nSimilarly, for the unemployed, the variable, if possible, should identify those who have worked before and those who have never worked, in addition to the unemployed who are not seeking a job, with the reason for why the individual is not looking for a job opportunity.\n\nThe code 113 indicating temporary stoppage of the industry may also indicate an activity reduction or a temporary closure, which means that the employing entity might not be working in full capacity. This might be due to a lack in the number of customers or to a shortage in demand. In both cases, this should always imply that the individual is still employed (temporarily absent) since he\/she is still paid\/earn income.\n\nThe reasons for which the person is identified to be a discouraged unemployed (Code 620) are reported in detail in the variable (NOTSRCH_R).\n \nDiscouraged unemployment includes those who are available and want to work but given up on searching for a job because they found no suitable employment options and\/or were met with lack of success when applying.\n\nFamily responsibilities includes taking caring for children, the incapacitated or elderly.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V55","name":"MASSP_3_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"121","var_end_pos":"123","var_width":"3","var_rec_seg_no":"1","labl":"Main activity status of the third spouse [Detailed version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"100","max":"999"}],"var_universe":"Spouses aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Main activity status of the third spouse during the survey period (detailed version of coding).","var_catgry":[{"value":"100","labl":"Employed","stats":null,"type":null},{"value":"110","labl":"Employed but temporary absent from work","stats":null,"type":null},{"value":"111","labl":"Sick leave\/Ill","stats":null,"type":null},{"value":"112","labl":"Vacation\/Official vacation","stats":null,"type":null},{"value":"113","labl":"Temporary stoppage of the industry","stats":null,"type":null},{"value":"114","labl":"Travel","stats":null,"type":null},{"value":"115","labl":"Strike\/Curfew","stats":null,"type":null},{"value":"120","labl":"Managing own properties","stats":null,"type":null},{"value":"130","labl":"Employed but temporary unpaid","stats":null,"type":null},{"value":"131","labl":"Arranges to take up paid\/self- employment activity","stats":null,"type":null},{"value":"132","labl":"Waiting for the start date of an agreed work","stats":null,"type":null},{"value":"133","labl":"Waiting to have clients","stats":null,"type":null},{"value":"134","labl":"Unpaid leave for more than one year","stats":null,"type":null},{"value":"135","labl":"Waiting to go back to previous job","stats":null,"type":null},{"value":"200","labl":"Unemployed","stats":null,"type":null},{"value":"210","labl":"Unemployed ever worked (seeking a job)","stats":null,"type":null},{"value":"220","labl":"Unemployed never worked (seeking a job)","stats":null,"type":null},{"value":"230","labl":"Unemployed (not seeking a job)","stats":null,"type":null},{"value":"231","labl":"Awaiting a recall to a previous job (temporary laid off)","stats":null,"type":null},{"value":"232","labl":"Awaiting work applications\/interviews\/competitions results","stats":null,"type":null},{"value":"233","labl":"Unable to issue work permission due to political circumstanc","stats":null,"type":null},{"value":"234","labl":"Not able to seek a job due to closure\/curfew","stats":null,"type":null},{"value":"235","labl":"In military service","stats":null,"type":null},{"value":"300","labl":"Homemaker (Housewife)","stats":null,"type":null},{"value":"310","labl":"Homemaker","stats":null,"type":null},{"value":"320","labl":"Housewife","stats":null,"type":null},{"value":"400","labl":"Student","stats":null,"type":null},{"value":"500","labl":"Pensioners\/retired\/disabled","stats":null,"type":null},{"value":"510","labl":"Pensioners","stats":null,"type":null},{"value":"520","labl":"Retired","stats":null,"type":null},{"value":"530","labl":"Disabled","stats":null,"type":null},{"value":"540","labl":"Unable to work","stats":null,"type":null},{"value":"550","labl":"Old","stats":null,"type":null},{"value":"560","labl":"Disabled\/Old\/Ill","stats":null,"type":null},{"value":"600","labl":"Others","stats":null,"type":null},{"value":"610","labl":"Out of labor force","stats":null,"type":null},{"value":"620","labl":"Discouraged unemployment","stats":null,"type":null},{"value":"630","labl":"Not working and not looking for a job","stats":null,"type":null},{"value":"640","labl":"Have income\/revenue\/means","stats":null,"type":null},{"value":"650","labl":"In prison","stats":null,"type":null},{"value":"660","labl":"In hospital","stats":null,"type":null},{"value":"670","labl":"Landlord","stats":null,"type":null},{"value":"680","labl":"Family responsibilities","stats":null,"type":null},{"value":"999","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----------------------\nAmong the employed, the variable should distinguish between those who are actually employed, those who are temporarily absent from work (by reason of absence if available), those managing their own properties and those who are engaged in a job opportunity but are temporarily unpaid.\n\nSimilarly, for the unemployed, the variable, if possible, should identify those who have worked before and those who have never worked, in addition to the unemployed who are not seeking a job, with the reason for why the individual is not looking for a job opportunity.\n\nThe code 113 indicating temporary stoppage of the industry may also indicate an activity reduction or a temporary closure, which means that the employing entity might not be working in full capacity. This might be due to a lack in the number of customers or to a shortage in demand. In both cases, this should always imply that the individual is still employed (temporarily absent) since he\/she is still paid\/earn income.\n\nThe reasons for which the person is identified to be a discouraged unemployed (Code 620) are reported in detail in the variable (NOTSRCH_R).\n \nDiscouraged unemployment includes those who are available and want to work but given up on searching for a job because they found no suitable employment options and\/or were met with lack of success when applying.\n\nFamily responsibilities includes taking caring for children, the incapacitated or elderly.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V56","name":"EMPSHD","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":"Status of employment of the head [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Employed Heads aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"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----------------------\nDefinitions are taken from the ILO Classification of Status in Employment with some revisions to take into account the available data.\n- Employee includes anyone who works for a public or private employer and 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 payment is based on an explicit (written or oral) or implicit employment contract. The continuous criteria used in the ILO definition is not used here as data are often absent and due to country specificity. Public includes quasi-government organizations.\n- Employer 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 individual is not considered an employer (as they have no employees) and is, instead classified as own account. Employer is termed as a self-employed worker with hired employees.\n- Own account or self-employment: jobs are those where remuneration is directly dependent on the goods and services 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 (e.g., freelancer, individual who gives private lessons or apprentices without payment).\n- Members of producers' cooperatives are workers who hold a self-employment job in a cooperative that produces goods and services. In the cooperative, hired workers and these workers have an employment contract that gives them a basic remuneration that does not depend on the revenue of the cooperative. Such workers are defined as employees and the members of the cooperative are considered as self-employed while the cooperative as an institution is defined to be the employer.\n- Contributing family workers are those workers who hold a self-employment job in a market-oriented establishment operated by a related individual living in the same household (or in a house located on the same plot of land and has the same household interests) 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. These workers often receive remuneration in a form of fringe benefits and payments in kind when the business is owned or operated by the individuals themselves or a relative. This category does not include: unpaid voluntary work done for charity or a relative living elsewhere but coming to help with the business without pay in cash or in kind. Relatives who receive any remuneration (including payments in kind) should be classified as employees.\n- Workers 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.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the work status (crempst) is not reported for those who are arranging to take up paid\/self-employment activity, waiting for the start date of an agreed work or having unpaid leave for more than one year. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V57","name":"EMPSSP_1","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":"Status of employment of the first spouse [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Employed Spouses aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"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----------------------\nDefinitions are taken from the ILO Classification of Status in Employment with some revisions to take into account the available data.\n- Employee includes anyone who works for a public or private employer and 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 payment is based on an explicit (written or oral) or implicit employment contract. The continuous criteria used in the ILO definition is not used here as data are often absent and due to country specificity. Public includes quasi-government organizations.\n- Employer 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 individual is not considered an employer (as they have no employees) and is, instead classified as own account. Employer is termed as a self-employed worker with hired employees.\n- Own account or self-employment: jobs are those where remuneration is directly dependent on the goods and services 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 (e.g., freelancer, individual who gives private lessons or apprentices without payment).\n- Members of producers' cooperatives are workers who hold a self-employment job in a cooperative that produces goods and services. In the cooperative, hired workers and these workers have an employment contract that gives them a basic remuneration that does not depend on the revenue of the cooperative. Such workers are defined as employees and the members of the cooperative are considered as self-employed while the cooperative as an institution is defined to be the employer.\n- Contributing family workers are those workers who hold a self-employment job in a market-oriented establishment operated by a related individual living in the same household (or in a house located on the same plot of land and has the same household interests) 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. These workers often receive remuneration in a form of fringe benefits and payments in kind when the business is owned or operated by the individuals themselves or a relative. This category does not include: unpaid voluntary work done for charity or a relative living elsewhere but coming to help with the business without pay in cash or in kind. Relatives who receive any remuneration (including payments in kind) should be classified as employees.\n- Workers 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.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the work status (crempst) is not reported for those who are arranging to take up paid\/self-employment activity, waiting for the start date of an agreed work or having unpaid leave for more than one year. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V58","name":"EMPSSP_2","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":"Status of employment of the second spouse [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Employed Spouses aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"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----------------------\nDefinitions are taken from the ILO Classification of Status in Employment with some revisions to take into account the available data.\n- Employee includes anyone who works for a public or private employer and 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 payment is based on an explicit (written or oral) or implicit employment contract. The continuous criteria used in the ILO definition is not used here as data are often absent and due to country specificity. Public includes quasi-government organizations.\n- Employer 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 individual is not considered an employer (as they have no employees) and is, instead classified as own account. Employer is termed as a self-employed worker with hired employees.\n- Own account or self-employment: jobs are those where remuneration is directly dependent on the goods and services 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 (e.g., freelancer, individual who gives private lessons or apprentices without payment).\n- Members of producers' cooperatives are workers who hold a self-employment job in a cooperative that produces goods and services. In the cooperative, hired workers and these workers have an employment contract that gives them a basic remuneration that does not depend on the revenue of the cooperative. Such workers are defined as employees and the members of the cooperative are considered as self-employed while the cooperative as an institution is defined to be the employer.\n- Contributing family workers are those workers who hold a self-employment job in a market-oriented establishment operated by a related individual living in the same household (or in a house located on the same plot of land and has the same household interests) 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. These workers often receive remuneration in a form of fringe benefits and payments in kind when the business is owned or operated by the individuals themselves or a relative. This category does not include: unpaid voluntary work done for charity or a relative living elsewhere but coming to help with the business without pay in cash or in kind. Relatives who receive any remuneration (including payments in kind) should be classified as employees.\n- Workers 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.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the work status (crempst) is not reported for those who are arranging to take up paid\/self-employment activity, waiting for the start date of an agreed work or having unpaid leave for more than one year. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V59","name":"EMPSSP_3","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":"Status of employment of the third spouse [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Employed Spouses aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"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----------------------\nDefinitions are taken from the ILO Classification of Status in Employment with some revisions to take into account the available data.\n- Employee includes anyone who works for a public or private employer and 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 payment is based on an explicit (written or oral) or implicit employment contract. The continuous criteria used in the ILO definition is not used here as data are often absent and due to country specificity. Public includes quasi-government organizations.\n- Employer 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 individual is not considered an employer (as they have no employees) and is, instead classified as own account. Employer is termed as a self-employed worker with hired employees.\n- Own account or self-employment: jobs are those where remuneration is directly dependent on the goods and services 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 (e.g., freelancer, individual who gives private lessons or apprentices without payment).\n- Members of producers' cooperatives are workers who hold a self-employment job in a cooperative that produces goods and services. In the cooperative, hired workers and these workers have an employment contract that gives them a basic remuneration that does not depend on the revenue of the cooperative. Such workers are defined as employees and the members of the cooperative are considered as self-employed while the cooperative as an institution is defined to be the employer.\n- Contributing family workers are those workers who hold a self-employment job in a market-oriented establishment operated by a related individual living in the same household (or in a house located on the same plot of land and has the same household interests) 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. These workers often receive remuneration in a form of fringe benefits and payments in kind when the business is owned or operated by the individuals themselves or a relative. This category does not include: unpaid voluntary work done for charity or a relative living elsewhere but coming to help with the business without pay in cash or in kind. Relatives who receive any remuneration (including payments in kind) should be classified as employees.\n- Workers 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.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the work status (crempst) is not reported for those who are arranging to take up paid\/self-employment activity, waiting for the start date of an agreed work or having unpaid leave for more than one year. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V60","name":"OCCHD","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"132","var_end_pos":"134","var_width":"3","var_rec_seg_no":"1","labl":"Occupation classification of the main job of the head [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"10","max":"999"}],"var_universe":"Employed Heads aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Standardized occupation classification of the main job of the head.","var_catgry":[{"value":"10","labl":"Legislators, senior officials and managers","stats":null,"type":null},{"value":"20","labl":"Professionals","stats":null,"type":null},{"value":"30","labl":"Technicians and associate professionals","stats":null,"type":null},{"value":"40","labl":"Clerks","stats":null,"type":null},{"value":"50","labl":"Service workers and shop and market sales workers","stats":null,"type":null},{"value":"60","labl":"Skilled agricultural and fishery workers","stats":null,"type":null},{"value":"70","labl":"Craft and related trades workers","stats":null,"type":null},{"value":"80","labl":"Plant and machine operators, and assemblers","stats":null,"type":null},{"value":"90","labl":"Elementary occupations","stats":null,"type":null},{"value":"100","labl":"Armed forces","stats":null,"type":null},{"value":"998","labl":"Other\/unspecified","stats":null,"type":null},{"value":"999","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 to code the detailed data collected. In such cases, if the aggregated data is provided by the statistical office, no attempt to correct the original variable is done.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the occupation (croccup) is not reported for those who are arranging to take up paid\/self-employment activity, waiting for the start date of an agreed work or having unpaid leave for more than one year. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V61","name":"OCCSP_1","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"135","var_end_pos":"137","var_width":"3","var_rec_seg_no":"1","labl":"Occupation classification of the main job of the first spouse [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"10","max":"999"}],"var_universe":"Employed Spouses aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Standardized occupation classification of the main job of the first spouse.","var_catgry":[{"value":"10","labl":"Legislators, senior officials and managers","stats":null,"type":null},{"value":"20","labl":"Professionals","stats":null,"type":null},{"value":"30","labl":"Technicians and associate professionals","stats":null,"type":null},{"value":"40","labl":"Clerks","stats":null,"type":null},{"value":"50","labl":"Service workers and shop and market sales workers","stats":null,"type":null},{"value":"60","labl":"Skilled agricultural and fishery workers","stats":null,"type":null},{"value":"70","labl":"Craft and related trades workers","stats":null,"type":null},{"value":"80","labl":"Plant and machine operators, and assemblers","stats":null,"type":null},{"value":"90","labl":"Elementary occupations","stats":null,"type":null},{"value":"100","labl":"Armed forces","stats":null,"type":null},{"value":"998","labl":"Other\/unspecified","stats":null,"type":null},{"value":"999","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 to code the detailed data collected. In such cases, if the aggregated data is provided by the statistical office, no attempt to correct the original variable is done.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the occupation (croccup) is not reported for those who are arranging to take up paid\/self-employment activity, waiting for the start date of an agreed work or having unpaid leave for more than one year. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V62","name":"OCCSP_2","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"138","var_end_pos":"140","var_width":"3","var_rec_seg_no":"1","labl":"Occupation classification of the main job of the second spouse [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"10","max":"999"}],"var_universe":"Employed Spouses aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Standardized occupation classification of the main job of the second spouse.","var_catgry":[{"value":"10","labl":"Legislators, senior officials and managers","stats":null,"type":null},{"value":"20","labl":"Professionals","stats":null,"type":null},{"value":"30","labl":"Technicians and associate professionals","stats":null,"type":null},{"value":"40","labl":"Clerks","stats":null,"type":null},{"value":"50","labl":"Service workers and shop and market sales workers","stats":null,"type":null},{"value":"60","labl":"Skilled agricultural and fishery workers","stats":null,"type":null},{"value":"70","labl":"Craft and related trades workers","stats":null,"type":null},{"value":"80","labl":"Plant and machine operators, and assemblers","stats":null,"type":null},{"value":"90","labl":"Elementary occupations","stats":null,"type":null},{"value":"100","labl":"Armed forces","stats":null,"type":null},{"value":"998","labl":"Other\/unspecified","stats":null,"type":null},{"value":"999","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 to code the detailed data collected. In such cases, if the aggregated data is provided by the statistical office, no attempt to correct the original variable is done.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the occupation (croccup) is not reported for those who are arranging to take up paid\/self-employment activity, waiting for the start date of an agreed work or having unpaid leave for more than one year. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V63","name":"OCCSP_3","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"141","var_end_pos":"143","var_width":"3","var_rec_seg_no":"1","labl":"Occupation classification of the main job of the third spouse [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"10","max":"999"}],"var_universe":"Employed Spouses aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Standardized occupation classification of the main job of the third spouse.","var_catgry":[{"value":"10","labl":"Legislators, senior officials and managers","stats":null,"type":null},{"value":"20","labl":"Professionals","stats":null,"type":null},{"value":"30","labl":"Technicians and associate professionals","stats":null,"type":null},{"value":"40","labl":"Clerks","stats":null,"type":null},{"value":"50","labl":"Service workers and shop and market sales workers","stats":null,"type":null},{"value":"60","labl":"Skilled agricultural and fishery workers","stats":null,"type":null},{"value":"70","labl":"Craft and related trades workers","stats":null,"type":null},{"value":"80","labl":"Plant and machine operators, and assemblers","stats":null,"type":null},{"value":"90","labl":"Elementary occupations","stats":null,"type":null},{"value":"100","labl":"Armed forces","stats":null,"type":null},{"value":"998","labl":"Other\/unspecified","stats":null,"type":null},{"value":"999","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 to code the detailed data collected. In such cases, if the aggregated data is provided by the statistical office, no attempt to correct the original variable is done.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the occupation (croccup) is not reported for those who are arranging to take up paid\/self-employment activity, waiting for the start date of an agreed work or having unpaid leave for more than one year. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V64","name":"OCCHD_ISCO88_4","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"144","var_end_pos":"147","var_width":"4","var_rec_seg_no":"1","labl":"Occupation classification of the main job of the head [ISCO 1988-4 digits]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"110","max":"9999"}],"var_universe":"Employed Heads aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Occupation classification of the main job of the head, following the 4-digits International Standard Classification of Occupations for the year 1988 (ISCO-88).","var_catgry":[{"value":"110","labl":"Armed forces","stats":null,"type":null},{"value":"1110","labl":"Legislators","stats":null,"type":null},{"value":"1120","labl":"Senior government officials","stats":null,"type":null},{"value":"1130","labl":"Traditional chiefs and heads of villages","stats":null,"type":null},{"value":"1141","labl":"Senior officials of political-party organizations","stats":null,"type":null},{"value":"1142","labl":"Senior officials of employers', workers' and other economic-","stats":null,"type":null},{"value":"1143","labl":"Senior officials of humanitarian and other special-interest","stats":null,"type":null},{"value":"1210","labl":"Directors and chief executives","stats":null,"type":null},{"value":"1221","labl":"Production and operations department managers in agriculture","stats":null,"type":null},{"value":"1222","labl":"Production and operations department managers in manufacturi","stats":null,"type":null},{"value":"1223","labl":"Production and operations department managers in constructio","stats":null,"type":null},{"value":"1224","labl":"Production and operations department managers in wholesale a","stats":null,"type":null},{"value":"1225","labl":"Production and operations department managers in restaurants","stats":null,"type":null},{"value":"1226","labl":"Production and operations department managers in transport,","stats":null,"type":null},{"value":"1227","labl":"Production and operations department managers in business se","stats":null,"type":null},{"value":"1228","labl":"Production and operations department managers in personal ca","stats":null,"type":null},{"value":"1229","labl":"Production and operations department managers not elsewhere","stats":null,"type":null},{"value":"1231","labl":"Finance and administration department managers","stats":null,"type":null},{"value":"1232","labl":"Personnel and industrial relations department managers","stats":null,"type":null},{"value":"1233","labl":"Sales and marketing department managers","stats":null,"type":null},{"value":"1234","labl":"Advertising and public relations department managers","stats":null,"type":null},{"value":"1235","labl":"Supply and distribution department managers","stats":null,"type":null},{"value":"1236","labl":"Computing services department managers","stats":null,"type":null},{"value":"1237","labl":"Research and development department managers","stats":null,"type":null},{"value":"1239","labl":"Other department managers not elsewhere classified","stats":null,"type":null},{"value":"1311","labl":"General managers in agriculture, hunting, forestry\/ and fish","stats":null,"type":null},{"value":"1312","labl":"General managers in manufacturing","stats":null,"type":null},{"value":"1313","labl":"General managers in construction","stats":null,"type":null},{"value":"1314","labl":"General managers in wholesale and retail trade","stats":null,"type":null},{"value":"1315","labl":"General managers of restaurants and hotels","stats":null,"type":null},{"value":"1316","labl":"General managers in transport, storage and communications","stats":null,"type":null},{"value":"1317","labl":"General managers of business services","stats":null,"type":null},{"value":"1318","labl":"General managers in personal care, cleaning and related serv","stats":null,"type":null},{"value":"1319","labl":"General managers not elsewhere classified","stats":null,"type":null},{"value":"2111","labl":"Physicists and astronomers","stats":null,"type":null},{"value":"2112","labl":"Meteorologists","stats":null,"type":null},{"value":"2113","labl":"Chemists","stats":null,"type":null},{"value":"2114","labl":"Geologists and geophysicists","stats":null,"type":null},{"value":"2121","labl":"Mathematicians and related professionals","stats":null,"type":null},{"value":"2122","labl":"Statisticians","stats":null,"type":null},{"value":"2131","labl":"Computer systems designers and analysts","stats":null,"type":null},{"value":"2132","labl":"Computer programmers","stats":null,"type":null},{"value":"2139","labl":"Computing professionals not elsewhere classified","stats":null,"type":null},{"value":"2141","labl":"Architects, town and traffic planners","stats":null,"type":null},{"value":"2142","labl":"Civil engineers","stats":null,"type":null},{"value":"2143","labl":"Electrical engineers","stats":null,"type":null},{"value":"2144","labl":"Electronics and telecommunications engineers","stats":null,"type":null},{"value":"2145","labl":"Mechanical engineers","stats":null,"type":null},{"value":"2146","labl":"Chemical engineers","stats":null,"type":null},{"value":"2147","labl":"Mining engineers, metallurgists and related professionals","stats":null,"type":null},{"value":"2148","labl":"Cartographers and surveyors","stats":null,"type":null},{"value":"2149","labl":"Architects, engineers and related professionals not elsewher","stats":null,"type":null},{"value":"2211","labl":"Biologists, botanists, zoologists and related professionals","stats":null,"type":null},{"value":"2212","labl":"Pharmacologists, pathologists and related professionals","stats":null,"type":null},{"value":"2213","labl":"Agronomists and related professionals","stats":null,"type":null},{"value":"2221","labl":"Medical doctors","stats":null,"type":null},{"value":"2222","labl":"Dentists","stats":null,"type":null},{"value":"2223","labl":"Veterinarians","stats":null,"type":null},{"value":"2224","labl":"Pharmacists","stats":null,"type":null},{"value":"2229","labl":"Health professionals (except nursing) not elsewhere classifi","stats":null,"type":null},{"value":"2230","labl":"Nursing and midwifery professionals","stats":null,"type":null},{"value":"2310","labl":"College, university and higher education teaching profession","stats":null,"type":null},{"value":"2320","labl":"Secondary education teaching professionals","stats":null,"type":null},{"value":"2331","labl":"Primary education teaching professionals","stats":null,"type":null},{"value":"2332","labl":"Pre-primary education teaching professionals","stats":null,"type":null},{"value":"2340","labl":"Special education teaching professionals","stats":null,"type":null},{"value":"2351","labl":"Education methods specialists","stats":null,"type":null},{"value":"2352","labl":"School inspectors","stats":null,"type":null},{"value":"2359","labl":"Other teaching professionals not elsewhere classified","stats":null,"type":null},{"value":"2411","labl":"Accountants","stats":null,"type":null},{"value":"2412","labl":"Personnel and careers professionals","stats":null,"type":null},{"value":"2419","labl":"Business professionals not elsewhere classified","stats":null,"type":null},{"value":"2421","labl":"Lawyers","stats":null,"type":null},{"value":"2422","labl":"Judges","stats":null,"type":null},{"value":"2429","labl":"Legal professionals not elsewhere classified","stats":null,"type":null},{"value":"2431","labl":"Archivists and curators","stats":null,"type":null},{"value":"2432","labl":"Librarians and related information professionals","stats":null,"type":null},{"value":"2441","labl":"Economists","stats":null,"type":null},{"value":"2442","labl":"Sociologists, anthropologists and related professionals","stats":null,"type":null},{"value":"2443","labl":"Philosophers, historians and political scientists","stats":null,"type":null},{"value":"2444","labl":"Philologists, translators and interpreters","stats":null,"type":null},{"value":"2445","labl":"Psychologists","stats":null,"type":null},{"value":"2446","labl":"Social work professionals","stats":null,"type":null},{"value":"2451","labl":"Authors, journalists and other writers","stats":null,"type":null},{"value":"2452","labl":"Sculptors, painters and related artists","stats":null,"type":null},{"value":"2453","labl":"Composers, musicians and singers","stats":null,"type":null},{"value":"2454","labl":"Choreographers and dancers","stats":null,"type":null},{"value":"2455","labl":"Film, stage and related actors and directors","stats":null,"type":null},{"value":"2460","labl":"Religious professionals","stats":null,"type":null},{"value":"3111","labl":"Chemical and physical science technicians","stats":null,"type":null},{"value":"3112","labl":"Civil engineering technicians","stats":null,"type":null},{"value":"3113","labl":"Electrical engineering technicians","stats":null,"type":null},{"value":"3114","labl":"Electronics and telecommunications engineering technicians","stats":null,"type":null},{"value":"3115","labl":"Mechanical engineering technicians","stats":null,"type":null},{"value":"3116","labl":"Chemical engineering technicians","stats":null,"type":null},{"value":"3117","labl":"Mining and metallurgical technicians","stats":null,"type":null},{"value":"3118","labl":"Draughtspersons","stats":null,"type":null},{"value":"3119","labl":"Physical and engineering science technicians not elsewhere c","stats":null,"type":null},{"value":"3121","labl":"Computer assistants","stats":null,"type":null},{"value":"3122","labl":"Computer equipment operators","stats":null,"type":null},{"value":"3123","labl":"Industrial robot controllers","stats":null,"type":null},{"value":"3131","labl":"Photographers and image and sound recording equipment operat","stats":null,"type":null},{"value":"3132","labl":"Broadcasting and telecommunications equipment operators","stats":null,"type":null},{"value":"3133","labl":"Medical equipment operators","stats":null,"type":null},{"value":"3139","labl":"Optical and electronic equipment operators not elsewhere cla","stats":null,"type":null},{"value":"3141","labl":"Ships' engineers","stats":null,"type":null},{"value":"3142","labl":"Ships' deck officers and pilots","stats":null,"type":null},{"value":"3143","labl":"Aircraft pilots and related associate professionals","stats":null,"type":null},{"value":"3144","labl":"Air traffic controllers","stats":null,"type":null},{"value":"3145","labl":"Air traffic safety technicians","stats":null,"type":null},{"value":"3151","labl":"Building and fire inspectors","stats":null,"type":null},{"value":"3152","labl":"Safety, health and quality inspectors","stats":null,"type":null},{"value":"3211","labl":"Life science technicians","stats":null,"type":null},{"value":"3212","labl":"Agronomy and forestry technicians","stats":null,"type":null},{"value":"3213","labl":"Farming and forestry advisers","stats":null,"type":null},{"value":"3221","labl":"Medical assistants","stats":null,"type":null},{"value":"3222","labl":"Sanitarians","stats":null,"type":null},{"value":"3223","labl":"Dieticians and nutritionists","stats":null,"type":null},{"value":"3224","labl":"Optometrists and opticians","stats":null,"type":null},{"value":"3225","labl":"Dental assistants","stats":null,"type":null},{"value":"3226","labl":"Physiotherapists and related associate professionals","stats":null,"type":null},{"value":"3227","labl":"Veterinary assistants","stats":null,"type":null},{"value":"3228","labl":"Pharmaceutical assistants","stats":null,"type":null},{"value":"3229","labl":"Modern health associate professionals (except nursing) not e","stats":null,"type":null},{"value":"3231","labl":"Nursing associate professionals","stats":null,"type":null},{"value":"3232","labl":"Midwifery associate professionals","stats":null,"type":null},{"value":"3241","labl":"Traditional medicine practitioners","stats":null,"type":null},{"value":"3242","labl":"Faith healers","stats":null,"type":null},{"value":"3310","labl":"Primary education teaching associate professionals","stats":null,"type":null},{"value":"3320","labl":"Pre-primary education teaching associate professionals","stats":null,"type":null},{"value":"3330","labl":"Special education teaching associate professionals","stats":null,"type":null},{"value":"3340","labl":"Other teaching associate professionals","stats":null,"type":null},{"value":"3411","labl":"Securities and finance dealers and brokers","stats":null,"type":null},{"value":"3412","labl":"Insurance representatives","stats":null,"type":null},{"value":"3413","labl":"Estate agents","stats":null,"type":null},{"value":"3414","labl":"Travel consultants and organizers","stats":null,"type":null},{"value":"3415","labl":"Technical and commercial sales representatives","stats":null,"type":null},{"value":"3416","labl":"Buyers","stats":null,"type":null},{"value":"3417","labl":"Appraisers, valuers and auctioneers","stats":null,"type":null},{"value":"3419","labl":"Finance and sales associate professionals not elsewhere clas","stats":null,"type":null},{"value":"3421","labl":"Trade brokers","stats":null,"type":null},{"value":"3422","labl":"Clearing and forwarding agents","stats":null,"type":null},{"value":"3423","labl":"Employment agents and labor contractors","stats":null,"type":null},{"value":"3429","labl":"Business services agents and trade brokers not elsewhere 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activities for the elderly and disabled","stats":null,"type":null},{"value":"8790","labl":"Other residential care activities","stats":null,"type":null},{"value":"8810","labl":"Social work activities without accommodation for the elderly","stats":null,"type":null},{"value":"8890","labl":"Other social work activities without accommodation","stats":null,"type":null},{"value":"9000","labl":"Creative, arts and entertainment activities","stats":null,"type":null},{"value":"9101","labl":"Library and archives activities","stats":null,"type":null},{"value":"9102","labl":"Museums activities and operation of historical sites and bui","stats":null,"type":null},{"value":"9103","labl":"Botanical and zoological gardens and nature reserves activit","stats":null,"type":null},{"value":"9200","labl":"Gambling and betting activities","stats":null,"type":null},{"value":"9311","labl":"Operation of sports facilities","stats":null,"type":null},{"value":"9312","labl":"Activities of sports clubs","stats":null,"type":null},{"value":"9319","labl":"Other sports activities","stats":null,"type":null},{"value":"9321","labl":"Activities of amusement parks and theme parks","stats":null,"type":null},{"value":"9329","labl":"Other amusement and recreation activities n.e.c.","stats":null,"type":null},{"value":"9411","labl":"Activities of business and employers membership organization","stats":null,"type":null},{"value":"9412","labl":"Activities of professional membership organizations","stats":null,"type":null},{"value":"9420","labl":"Activities of trade unions","stats":null,"type":null},{"value":"9491","labl":"Activities of religious organizations","stats":null,"type":null},{"value":"9492","labl":"Activities of political organizations","stats":null,"type":null},{"value":"9499","labl":"Activities of other membership organizations n.e.c.","stats":null,"type":null},{"value":"9511","labl":"Repair of computers and peripheral equipment","stats":null,"type":null},{"value":"9512","labl":"Repair of communication equipment","stats":null,"type":null},{"value":"9521","labl":"Repair of consumer electronics","stats":null,"type":null},{"value":"9522","labl":"Repair of household appliances and home and garden equipment","stats":null,"type":null},{"value":"9523","labl":"Repair of footwear and leather goods","stats":null,"type":null},{"value":"9524","labl":"Repair of furniture and home furnishings","stats":null,"type":null},{"value":"9529","labl":"Repair of other personal and household goods","stats":null,"type":null},{"value":"9601","labl":"Washing and (dry-) cleaning of textile and fur products","stats":null,"type":null},{"value":"9602","labl":"Hairdressing and other beauty treatment","stats":null,"type":null},{"value":"9603","labl":"Funeral and related activities","stats":null,"type":null},{"value":"9609","labl":"Other personal service activities n.e.c.","stats":null,"type":null},{"value":"9700","labl":"Activities of households as employers of domestic personnel","stats":null,"type":null},{"value":"9810","labl":"Undifferentiated goods-producing activities of private house","stats":null,"type":null},{"value":"9820","labl":"Undifferentiated service-producing activities of private hou","stats":null,"type":null},{"value":"9900","labl":"Activities of extraterritorial organizations and bodies","stats":null,"type":null},{"value":"9998","labl":"Unspecified code","stats":null,"type":null},{"value":"9999","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----------------------\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V76","name":"SECTORHD","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"188","var_end_pos":"189","var_width":"2","var_rec_seg_no":"1","labl":"Sector of employment of the head [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Employed Heads aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Sector of employment (i.e. private versus public sector workers) in the main job 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----------------------\nQuasi-public sectors are considered as public. \nIn the case that there is no distinction between Government and Public, in the original survey, we use the classification as provided.\nCooperative includes employees in joint ventures.\nForeign includes workers in international NGOs.\nOthers includes workers in national NGOs and in private households.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the sector of employment (crsectot) is not reported for those who are arranging to take up paid\/self-employment activity, waiting for the start date of an agreed work or having unpaid leave for more than one year. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V77","name":"SECTORSP_1","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"190","var_end_pos":"191","var_width":"2","var_rec_seg_no":"1","labl":"Sector of employment of the first spouse [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Employed Spouses aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Sector of employment (i.e. private versus public sector workers) in the main job 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----------------------\nQuasi-public sectors are considered as public. \nIn the case that there is no distinction between Government and Public, in the original survey, we use the classification as provided.\nCooperative includes employees in joint ventures.\nForeign includes workers in international NGOs.\nOthers includes workers in national NGOs and in private households.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the sector of employment (crsectot) is not reported for those who are arranging to take up paid\/self-employment activity, waiting for the start date of an agreed work or having unpaid leave for more than one year. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V78","name":"SECTORSP_2","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"192","var_end_pos":"193","var_width":"2","var_rec_seg_no":"1","labl":"Sector of employment of the second spouse [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Employed Spouses aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Sector of employment (i.e. private versus public sector workers) in the main job 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----------------------\nQuasi-public sectors are considered as public. \nIn the case that there is no distinction between Government and Public, in the original survey, we use the classification as provided.\nCooperative includes employees in joint ventures.\nForeign includes workers in international NGOs.\nOthers includes workers in national NGOs and in private households.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the sector of employment (crsectot) is not reported for those who are arranging to take up paid\/self-employment activity, waiting for the start date of an agreed work or having unpaid leave for more than one year. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V79","name":"SECTORSP_3","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"194","var_end_pos":"195","var_width":"2","var_rec_seg_no":"1","labl":"Sector of employment of the third spouse [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Employed Spouses aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Sector of employment (i.e. private versus public sector workers) in the main job 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----------------------\nQuasi-public sectors are considered as public. \nIn the case that there is no distinction between Government and Public, in the original survey, we use the classification as provided.\nCooperative includes employees in joint ventures.\nForeign includes workers in international NGOs.\nOthers includes workers in national NGOs and in private households.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the sector of employment (crsectot) is not reported for those who are arranging to take up paid\/self-employment activity, waiting for the start date of an agreed work or having unpaid leave for more than one year. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V80","name":"SECTORHD_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"196","var_end_pos":"198","var_width":"3","var_rec_seg_no":"1","labl":"Sector of employment of the head [Detailed version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"100","max":"999"}],"var_universe":"Employed Heads aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"These variables distinguish between different types of public and private sector employment, as well as other types of sectors (foreign, cooperative, etc.).","var_catgry":[{"value":"100","labl":"Government","stats":null,"type":null},{"value":"110","labl":"Government- National","stats":null,"type":null},{"value":"120","labl":"Government- Foreign","stats":null,"type":null},{"value":"130","labl":"Government- Federal","stats":null,"type":null},{"value":"140","labl":"Government- Local","stats":null,"type":null},{"value":"200","labl":"Public sector","stats":null,"type":null},{"value":"210","labl":"Economic institutions","stats":null,"type":null},{"value":"300","labl":"Private sector","stats":null,"type":null},{"value":"310","labl":"Private investment","stats":null,"type":null},{"value":"320","labl":"Private- National","stats":null,"type":null},{"value":"321","labl":"Private- National inside establishment","stats":null,"type":null},{"value":"322","labl":"Private- National outside establishment","stats":null,"type":null},{"value":"330","labl":"Private- Foreign","stats":null,"type":null},{"value":"331","labl":"Private- Foreign inside establishment","stats":null,"type":null},{"value":"332","labl":"Private- Foreign outside establishment","stats":null,"type":null},{"value":"340","labl":"Private- Inside establishment","stats":null,"type":null},{"value":"350","labl":"Private- Outside establishment","stats":null,"type":null},{"value":"360","labl":"Private- Families","stats":null,"type":null},{"value":"400","labl":"Joint\/Cooperative","stats":null,"type":null},{"value":"410","labl":"Joint","stats":null,"type":null},{"value":"420","labl":"Cooperative","stats":null,"type":null},{"value":"430","labl":"Joint local sector","stats":null,"type":null},{"value":"500","labl":"Foreign sector","stats":null,"type":null},{"value":"510","labl":"Diplomatic bodies","stats":null,"type":null},{"value":"600","labl":"Others","stats":null,"type":null},{"value":"610","labl":"Non-governmental organizations","stats":null,"type":null},{"value":"620","labl":"Non-profit associations","stats":null,"type":null},{"value":"630","labl":"Charitable associations","stats":null,"type":null},{"value":"640","labl":"Outside establishment","stats":null,"type":null},{"value":"650","labl":"Outside the country","stats":null,"type":null},{"value":"660","labl":"UNRWA","stats":null,"type":null},{"value":"999","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 classification of those working inside or outside an establishment in different sectors can be further studied using the variable \"ESTAB\".\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the sector of employment (crsectot) is not reported for those who are arranging to take up paid\/self-employment activity, waiting for the start date of an agreed work or having unpaid leave for more than one year. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V81","name":"SECTORSP_1_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"199","var_end_pos":"201","var_width":"3","var_rec_seg_no":"1","labl":"Sector of employment of the first spouse [Detailed version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"100","max":"999"}],"var_universe":"Employed Spouses aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"These variables distinguish between different types of public and private sector employment, as well as other types of sectors (foreign, cooperative, etc.).","var_catgry":[{"value":"100","labl":"Government","stats":null,"type":null},{"value":"110","labl":"Government- National","stats":null,"type":null},{"value":"120","labl":"Government- Foreign","stats":null,"type":null},{"value":"130","labl":"Government- Federal","stats":null,"type":null},{"value":"140","labl":"Government- Local","stats":null,"type":null},{"value":"200","labl":"Public sector","stats":null,"type":null},{"value":"210","labl":"Economic institutions","stats":null,"type":null},{"value":"300","labl":"Private sector","stats":null,"type":null},{"value":"310","labl":"Private investment","stats":null,"type":null},{"value":"320","labl":"Private- National","stats":null,"type":null},{"value":"321","labl":"Private- National inside establishment","stats":null,"type":null},{"value":"322","labl":"Private- National outside establishment","stats":null,"type":null},{"value":"330","labl":"Private- Foreign","stats":null,"type":null},{"value":"331","labl":"Private- Foreign inside establishment","stats":null,"type":null},{"value":"332","labl":"Private- Foreign outside establishment","stats":null,"type":null},{"value":"340","labl":"Private- Inside establishment","stats":null,"type":null},{"value":"350","labl":"Private- Outside establishment","stats":null,"type":null},{"value":"360","labl":"Private- Families","stats":null,"type":null},{"value":"400","labl":"Joint\/Cooperative","stats":null,"type":null},{"value":"410","labl":"Joint","stats":null,"type":null},{"value":"420","labl":"Cooperative","stats":null,"type":null},{"value":"430","labl":"Joint local sector","stats":null,"type":null},{"value":"500","labl":"Foreign sector","stats":null,"type":null},{"value":"510","labl":"Diplomatic bodies","stats":null,"type":null},{"value":"600","labl":"Others","stats":null,"type":null},{"value":"610","labl":"Non-governmental organizations","stats":null,"type":null},{"value":"620","labl":"Non-profit associations","stats":null,"type":null},{"value":"630","labl":"Charitable associations","stats":null,"type":null},{"value":"640","labl":"Outside establishment","stats":null,"type":null},{"value":"650","labl":"Outside the country","stats":null,"type":null},{"value":"660","labl":"UNRWA","stats":null,"type":null},{"value":"999","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 classification of those working inside or outside an establishment in different sectors can be further studied using the variable \"ESTAB\".\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the sector of employment (crsectot) is not reported for those who are arranging to take up paid\/self-employment activity, waiting for the start date of an agreed work or having unpaid leave for more than one year. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V82","name":"SECTORSP_2_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"202","var_end_pos":"204","var_width":"3","var_rec_seg_no":"1","labl":"Sector of employment of the second spouse [Detailed version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"100","max":"999"}],"var_universe":"Employed Spouses aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"These variables distinguish between different types of public and private sector employment, as well as other types of sectors (foreign, cooperative, etc.).","var_catgry":[{"value":"100","labl":"Government","stats":null,"type":null},{"value":"110","labl":"Government- National","stats":null,"type":null},{"value":"120","labl":"Government- Foreign","stats":null,"type":null},{"value":"130","labl":"Government- Federal","stats":null,"type":null},{"value":"140","labl":"Government- Local","stats":null,"type":null},{"value":"200","labl":"Public sector","stats":null,"type":null},{"value":"210","labl":"Economic institutions","stats":null,"type":null},{"value":"300","labl":"Private sector","stats":null,"type":null},{"value":"310","labl":"Private investment","stats":null,"type":null},{"value":"320","labl":"Private- National","stats":null,"type":null},{"value":"321","labl":"Private- National inside establishment","stats":null,"type":null},{"value":"322","labl":"Private- National outside establishment","stats":null,"type":null},{"value":"330","labl":"Private- Foreign","stats":null,"type":null},{"value":"331","labl":"Private- Foreign inside establishment","stats":null,"type":null},{"value":"332","labl":"Private- Foreign outside establishment","stats":null,"type":null},{"value":"340","labl":"Private- Inside establishment","stats":null,"type":null},{"value":"350","labl":"Private- Outside establishment","stats":null,"type":null},{"value":"360","labl":"Private- Families","stats":null,"type":null},{"value":"400","labl":"Joint\/Cooperative","stats":null,"type":null},{"value":"410","labl":"Joint","stats":null,"type":null},{"value":"420","labl":"Cooperative","stats":null,"type":null},{"value":"430","labl":"Joint local sector","stats":null,"type":null},{"value":"500","labl":"Foreign sector","stats":null,"type":null},{"value":"510","labl":"Diplomatic bodies","stats":null,"type":null},{"value":"600","labl":"Others","stats":null,"type":null},{"value":"610","labl":"Non-governmental organizations","stats":null,"type":null},{"value":"620","labl":"Non-profit associations","stats":null,"type":null},{"value":"630","labl":"Charitable associations","stats":null,"type":null},{"value":"640","labl":"Outside establishment","stats":null,"type":null},{"value":"650","labl":"Outside the country","stats":null,"type":null},{"value":"660","labl":"UNRWA","stats":null,"type":null},{"value":"999","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 classification of those working inside or outside an establishment in different sectors can be further studied using the variable \"ESTAB\".\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the sector of employment (crsectot) is not reported for those who are arranging to take up paid\/self-employment activity, waiting for the start date of an agreed work or having unpaid leave for more than one year. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V83","name":"SECTORSP_3_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"205","var_end_pos":"207","var_width":"3","var_rec_seg_no":"1","labl":"Sector of employment of the third spouse [Detailed version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"100","max":"999"}],"var_universe":"Employed Spouses aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"These variables distinguish between different types of public and private sector employment, as well as other types of sectors (foreign, cooperative, etc.).","var_catgry":[{"value":"100","labl":"Government","stats":null,"type":null},{"value":"110","labl":"Government- National","stats":null,"type":null},{"value":"120","labl":"Government- Foreign","stats":null,"type":null},{"value":"130","labl":"Government- Federal","stats":null,"type":null},{"value":"140","labl":"Government- Local","stats":null,"type":null},{"value":"200","labl":"Public sector","stats":null,"type":null},{"value":"210","labl":"Economic institutions","stats":null,"type":null},{"value":"300","labl":"Private sector","stats":null,"type":null},{"value":"310","labl":"Private investment","stats":null,"type":null},{"value":"320","labl":"Private- National","stats":null,"type":null},{"value":"321","labl":"Private- National inside establishment","stats":null,"type":null},{"value":"322","labl":"Private- National outside establishment","stats":null,"type":null},{"value":"330","labl":"Private- Foreign","stats":null,"type":null},{"value":"331","labl":"Private- Foreign inside establishment","stats":null,"type":null},{"value":"332","labl":"Private- Foreign outside establishment","stats":null,"type":null},{"value":"340","labl":"Private- Inside establishment","stats":null,"type":null},{"value":"350","labl":"Private- Outside establishment","stats":null,"type":null},{"value":"360","labl":"Private- Families","stats":null,"type":null},{"value":"400","labl":"Joint\/Cooperative","stats":null,"type":null},{"value":"410","labl":"Joint","stats":null,"type":null},{"value":"420","labl":"Cooperative","stats":null,"type":null},{"value":"430","labl":"Joint local sector","stats":null,"type":null},{"value":"500","labl":"Foreign sector","stats":null,"type":null},{"value":"510","labl":"Diplomatic bodies","stats":null,"type":null},{"value":"600","labl":"Others","stats":null,"type":null},{"value":"610","labl":"Non-governmental organizations","stats":null,"type":null},{"value":"620","labl":"Non-profit associations","stats":null,"type":null},{"value":"630","labl":"Charitable associations","stats":null,"type":null},{"value":"640","labl":"Outside establishment","stats":null,"type":null},{"value":"650","labl":"Outside the country","stats":null,"type":null},{"value":"660","labl":"UNRWA","stats":null,"type":null},{"value":"999","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 classification of those working inside or outside an establishment in different sectors can be further studied using the variable \"ESTAB\".\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the sector of employment (crsectot) is not reported for those who are arranging to take up paid\/self-employment activity, waiting for the start date of an agreed work or having unpaid leave for more than one year. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V84","name":"EMPSTABHD","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"208","var_end_pos":"209","var_width":"2","var_rec_seg_no":"1","labl":"Employment stability in the main job of the head","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Employed Heads aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"These variables indicate whether the employed head is engaged in a regular or an irregular job","var_catgry":[{"value":"1","labl":"Full time\/Regular","stats":null,"type":null},{"value":"2","labl":"Part time\/Temporary","stats":null,"type":null},{"value":"3","labl":"Seasonal\/Irregular","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----------------------\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the employment stability (crstabl) is not reported for those who are arranging to take up paid\/self-employment activity, waiting for the start date of an agreed work or having unpaid leave for more than one year. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V85","name":"EMPSTABSP_1","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"210","var_end_pos":"211","var_width":"2","var_rec_seg_no":"1","labl":"Employment stability in the main job of the first spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Employed Spouses aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"These variables indicate whether the employed first spouse is engaged in a regular or an irregular job","var_catgry":[{"value":"1","labl":"Full time\/Regular","stats":null,"type":null},{"value":"2","labl":"Part time\/Temporary","stats":null,"type":null},{"value":"3","labl":"Seasonal\/Irregular","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----------------------\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the employment stability (crstabl) is not reported for those who are arranging to take up paid\/self-employment activity, waiting for the start date of an agreed work or having unpaid leave for more than one year. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V86","name":"EMPSTABSP_2","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"212","var_end_pos":"213","var_width":"2","var_rec_seg_no":"1","labl":"Employment stability in the main job of the second spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Employed Spouses aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"These variables indicate whether the employed second spouse is engaged in a regular or an irregular job","var_catgry":[{"value":"1","labl":"Full time\/Regular","stats":null,"type":null},{"value":"2","labl":"Part time\/Temporary","stats":null,"type":null},{"value":"3","labl":"Seasonal\/Irregular","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----------------------\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the employment stability (crstabl) is not reported for those who are arranging to take up paid\/self-employment activity, waiting for the start date of an agreed work or having unpaid leave for more than one year. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V87","name":"EMPSTABSP_3","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"214","var_end_pos":"215","var_width":"2","var_rec_seg_no":"1","labl":"Employment stability in the main job of the third spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Employed Spouses aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"These variables indicate whether the employed third spouse is engaged in a regular or an irregular job","var_catgry":[{"value":"1","labl":"Full time\/Regular","stats":null,"type":null},{"value":"2","labl":"Part time\/Temporary","stats":null,"type":null},{"value":"3","labl":"Seasonal\/Irregular","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----------------------\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the employment stability (crstabl) is not reported for those who are arranging to take up paid\/self-employment activity, waiting for the start date of an agreed work or having unpaid leave for more than one year. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V88","name":"TOTWAGHD","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"216","var_end_pos":"223","var_width":"8","var_rec_seg_no":"1","labl":"Total monthly wage from the regular main job of the head","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"2","max":"40000"}],"var_universe":"Waged Workers Heads aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the total monthly wage the head, reported waged worker, received from the main job, including bonuses, benefits, allowances, profits, etc.","var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe value of the total wage reported in this variable should equal the value of the basic wage in addition to bonuses, benefits, allowances, profits, etc.\n\nWhen the original dataset has only wage categories, the total wage is calculated as the midpoint of the range provided.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable (wg_basic) is reported for wage workers and regular employment only.\nThe weekly, monthly and yearly wages in pounds are provided. The weekly wages were multiplied by 4 and the monthly wages were divided by 12 to generate a new total variable of monthly wages.","fid":"F1"},{"vid":"V89","name":"TOTWAGSP_1","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"224","var_end_pos":"231","var_width":"8","var_rec_seg_no":"1","labl":"Total monthly wage from the regular main job of the first spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"8","max":"22500"}],"var_universe":"Waged Workers Spouses aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the total monthly wage the first spouse, reported waged worker, received from the main job, including bonuses, benefits, allowances, profits, etc.","var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe value of the total wage reported in this variable should equal the value of the basic wage in addition to bonuses, benefits, allowances, profits, etc.\n\nWhen the original dataset has only wage categories, the total wage is calculated as the midpoint of the range provided.\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable (wg_basic) is reported for wage workers and regular employment only.\nThe weekly, monthly and yearly wages in pounds are provided. The weekly wages were multiplied by 4 and the monthly wages were divided by 12 to generate a new total variable of monthly wages.","fid":"F1"},{"vid":"V90","name":"TOTWAGSP_2","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"232","var_end_pos":"238","var_width":"7","var_rec_seg_no":"1","labl":"Total monthly wage from the regular main job of the second spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"350","max":"1964"}],"var_universe":"Waged Workers Spouses aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the total monthly wage the second spouse, reported waged worker, received from the main job, including bonuses, benefits, allowances, profits, etc.","var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe value of the total wage reported in this variable should equal the value of the basic wage in addition to bonuses, benefits, allowances, profits, etc.\n\nWhen the original dataset has only wage categories, the total wage is calculated as the midpoint of the range provided.\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable (wg_basic) is reported for wage workers and regular employment only.\nThe weekly, monthly and yearly wages in pounds are provided. The weekly wages were multiplied by 4 and the monthly wages were divided by 12 to generate a new total variable of monthly wages.","fid":"F1"},{"vid":"V91","name":"TOTWAGSP_3","file_id":"F1","var_dcml":"2","var_intrvl":"discrete","var_start_pos":"239","var_end_pos":"242","var_width":"4","var_rec_seg_no":"1","labl":"Total monthly wage from the regular main job of the third spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"Waged Workers Spouses aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the total monthly wage the third spouse, reported waged worker, received from the main job, including bonuses, benefits, allowances, profits, etc.","var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe value of the total wage reported in this variable should equal the value of the basic wage in addition to bonuses, benefits, allowances, profits, etc.\n\nWhen the original dataset has only wage categories, the total wage is calculated as the midpoint of the range provided.\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable (wg_basic) is reported for wage workers and regular employment only.\nThe weekly, monthly and yearly wages in pounds are provided. The weekly wages were multiplied by 4 and the monthly wages were divided by 12 to generate a new total variable of monthly wages.","fid":"F1"},{"vid":"V92","name":"IRRGWAGHD","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"243","var_end_pos":"248","var_width":"6","var_rec_seg_no":"1","labl":"Total daily wages from seasonal\/irregular jobs of the head","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"860"}],"var_universe":"Irregular Waged Workers Heads aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Total daily wages from seasonal\/irregular jobs of the head","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 should typically cover the heads reported to have irregular\/seasonal jobs in EMPSTABHD(code 3).\n\nWhen the original dataset has only wage categories, the total wage is calculated as the midpoint of the range provided.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V93","name":"IRRGWAGSP_1","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"249","var_end_pos":"254","var_width":"6","var_rec_seg_no":"1","labl":"Total daily wages from seasonal\/irregular jobs of the first spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"3","max":"500"}],"var_universe":"Irregular Waged Workers Spouses aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Total daily wages from seasonal\/irregular jobs 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----------------------\nThis variable should typically cover the spouses reported to have irregular\/seasonal jobs in \nEMPSTABSP_1 (code 3).\n\nWhen the original dataset has only wage categories, the total wage is calculated as the midpoint of the range provided.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V94","name":"IRRGWAGSP_2","file_id":"F1","var_dcml":"2","var_intrvl":"discrete","var_start_pos":"255","var_end_pos":"259","var_width":"5","var_rec_seg_no":"1","labl":"Total daily wages from seasonal\/irregular jobs of the second spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"15","max":"15"}],"var_universe":"Irregular Waged Workers Spouses aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Total daily wages from seasonal\/irregular jobs 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----------------------\nThis variable should typically cover the spouses reported to have irregular\/seasonal jobs in \nEMPSTABSP_1 (code 3).\n\nWhen the original dataset has only wage categories, the total wage is calculated as the midpoint of the range provided.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V95","name":"IRRGWAGSP_3","file_id":"F1","var_dcml":"2","var_intrvl":"discrete","var_start_pos":"260","var_end_pos":"263","var_width":"4","var_rec_seg_no":"1","labl":"Total daily wages from seasonal\/irregular jobs of the third spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"Irregular Waged Workers Spouses aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Total daily wages from seasonal\/irregular jobs 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----------------------\nThis variable should typically cover the spouses reported to have irregular\/seasonal jobs in \nEMPSTABSP_1 (code 3).\n\nWhen the original dataset has only wage categories, the total wage is calculated as the midpoint of the range provided.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V96","name":"COUNTRY","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"1","var_end_pos":"3","var_width":"3","var_rec_seg_no":"1","labl":"Country","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"12","max":"887"}],"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":"A numeric variable representing the country and coded per the UN\u2019s Dec. 2012, country classification.","var_catgry":[{"value":"818","labl":"Egypt","stats":null,"type":null}],"var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThis variable exists in both the household and the individual files and is necessary when concatenating different data files.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nGenerated by ERF","fid":"F2"},{"vid":"V97","name":"YEAR","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"4","var_end_pos":"7","var_width":"4","var_rec_seg_no":"1","labl":"Survey year","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"2013","max":"2013"}],"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":"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 in both the household and the individual files and is necessary when concatenating cross-sectional data. In the case of panel data, the Panel Identifier should be used to merge the datasets across years.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nGenerated by ERF","fid":"F2"},{"vid":"V98","name":"ROUND","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"8","var_end_pos":"8","var_width":"1","var_rec_seg_no":"1","labl":"Survey round","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"4"}],"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":"This variable indicates the round during which the household was observed.","var_codeinstr":"Original survey variable renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe data collection of the LFSs might be conducted over several rounds during the survey year. This variable will be then generated in the datasets for which the collection was done over at least 2 rounds to indicate the round number during which each household was observed.\nIn the case of panel data, the same household ID may have different round numbers indicating different observations of the same household during the survey year.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nGenerated by ERF or provided in the original","fid":"F2"},{"vid":"V99","name":"DTYPE","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"9","var_end_pos":"9","var_width":"1","var_rec_seg_no":"1","labl":"Data type","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":"This variable should indicate whether the survey data is cross-sectional or panel.","var_catgry":[{"value":"1","labl":"Cross-sectional","stats":null,"type":null}],"var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe value of this variable should be constant for the same dataset, indicating one type of data (cross-sectional or panel). \nThis variable might be useful when combining datasets to identify different types of data before using them for analysis.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nGenerated by ERF taking the code \u2026.. since the data is \u2026\u2026","fid":"F2"},{"vid":"V100","name":"CASESER","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"10","var_end_pos":"14","var_width":"5","var_rec_seg_no":"1","labl":"Unique household identifier","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"85451"}],"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":"Sequential anonymous household identifier, usually provided in the dataset.","var_codeinstr":"Original survey variable renamed (Ref: Data dictionary.pdf)\nGenerated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThis variable exists both in the household and the individual files and is necessary when merging the two files. When combining different countries or years, it is necessary to use the CASESER variable in combination with the COUNTRY, YEAR and ROUND variables in order to uniquely identify the households. When merging household and individual level files from the same dataset, this variable can be used to link each individual to the right household.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V101","name":"PNUM","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"15","var_end_pos":"16","var_width":"2","var_rec_seg_no":"1","labl":"Individual identifier","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"21"}],"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":"Individual identification number (usually the individual 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. \nIn cross-sectional datasets,  both CASESER and PNUM are used to uniquely identify an individual. While in panel data, the ROUND, CASESER and PNUM are required to uniquely identify a certain individual. \n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V102","name":"PWEIGHT","file_id":"F2","var_dcml":"2","var_intrvl":"contin","var_start_pos":"17","var_end_pos":"22","var_width":"6","var_rec_seg_no":"1","labl":"Individual weight","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"171.551","max":"394.943"}],"var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Data-provider individual weight.","var_codeinstr":"Original survey variable renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nVery few data providers construct a different weight for each member of the household. If an individual weight exists in the original dataset, we do report it here (even though it turns out to be the same for all household members in most cases), otherwise we assign the household weight to all household members. \nAll statistical analysis performed should use the appropriate weight.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe expansion factor, as defined in the raw data, is equal to the values of the individuals' weights multiplied by 1000.","fid":"F2"},{"vid":"V103","name":"REG","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"23","var_end_pos":"28","var_width":"6","var_rec_seg_no":"1","labl":"Region","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"818001","max":"818035"}],"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 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Akhmim","stats":null,"type":null},{"value":"8182605","labl":"El-Balyana","stats":null,"type":null},{"value":"8182606","labl":"El-Maragha","stats":null,"type":null},{"value":"8182607","labl":"El Minshah","stats":null,"type":null},{"value":"8182608","labl":"Dar el-Salam","stats":null,"type":null},{"value":"8182609","labl":"Qism Girga","stats":null,"type":null},{"value":"8182610","labl":"Markaz Girga","stats":null,"type":null},{"value":"8182611","labl":"Juhaynah El Gharbyah","stats":null,"type":null},{"value":"8182612","labl":"Sakulta","stats":null,"type":null},{"value":"8182613","labl":"Tima","stats":null,"type":null},{"value":"8182614","labl":"Markaz Tahta","stats":null,"type":null},{"value":"8182615","labl":"Qism Tahta","stats":null,"type":null},{"value":"8182616","labl":"El Kawthar","stats":null,"type":null},{"value":"8182617","labl":"El-Usayrat","stats":null,"type":null},{"value":"8182618","labl":"Madinet Akhmim El Gedida","stats":null,"type":null},{"value":"8182619","labl":"Madinet Sohag El Gedida","stats":null,"type":null},{"value":"8182701","labl":"Qism Qena","stats":null,"type":null},{"value":"8182702","labl":"Markaz Qena","stats":null,"type":null},{"value":"8182703","labl":"Abu Tesht","stats":null,"type":null},{"value":"8182704","labl":"Armant","stats":null,"type":null},{"value":"8182705","labl":"Esna","stats":null,"type":null},{"value":"8182706","labl":"Dishna","stats":null,"type":null},{"value":"8182707","labl":"Qus","stats":null,"type":null},{"value":"8182708","labl":"Nag Hammadi","stats":null,"type":null},{"value":"8182709","labl":"Naqada","stats":null,"type":null},{"value":"8182710","labl":"Farshout","stats":null,"type":null},{"value":"8182711","labl":"Qift","stats":null,"type":null},{"value":"8182712","labl":"El Waqf","stats":null,"type":null},{"value":"8182713","labl":"Madinet Qena El Gedida","stats":null,"type":null},{"value":"8182801","labl":"Qism Aswan","stats":null,"type":null},{"value":"8182802","labl":"Markaz Aswan","stats":null,"type":null},{"value":"8182803","labl":"Edfu","stats":null,"type":null},{"value":"8182804","labl":"Kom Ombo","stats":null,"type":null},{"value":"8182805","labl":"Nasr","stats":null,"type":null},{"value":"8182806","labl":"Deraw","stats":null,"type":null},{"value":"8182807","labl":"Abu Simbel","stats":null,"type":null},{"value":"8182808","labl":"Madinet Aswan El Gedida","stats":null,"type":null},{"value":"8182809","labl":"Madinet Toshka  El Gedida","stats":null,"type":null},{"value":"8182901","labl":"Qism Luxor","stats":null,"type":null},{"value":"8182902","labl":"Markaz Luxor","stats":null,"type":null},{"value":"8182903","labl":"Taiba","stats":null,"type":null},{"value":"8183101","labl":"Qism Awel Hurghada","stats":null,"type":null},{"value":"8183102","labl":"El Qusair","stats":null,"type":null},{"value":"8183103","labl":"Safaga","stats":null,"type":null},{"value":"8183104","labl":"Marsa Alam","stats":null,"type":null},{"value":"8183105","labl":"Ras Ghareb","stats":null,"type":null},{"value":"8183106","labl":"Shalatin","stats":null,"type":null},{"value":"8183107","labl":"Hala'ib","stats":null,"type":null},{"value":"8183108","labl":"Qism Tani  Hurghada","stats":null,"type":null},{"value":"8183109","labl":"Gulf of Suez","stats":null,"type":null},{"value":"8183201","labl":"Kharga","stats":null,"type":null},{"value":"8183202","labl":"Dakhla","stats":null,"type":null},{"value":"8183203","labl":"Farafra","stats":null,"type":null},{"value":"8183204","labl":"Paris","stats":null,"type":null},{"value":"8183205","labl":"Sharq El Owainat","stats":null,"type":null},{"value":"8183301","labl":"Mersa Matruh","stats":null,"type":null},{"value":"8183302","labl":"El Hamam","stats":null,"type":null},{"value":"8183303","labl":"El Salloum","stats":null,"type":null},{"value":"8183304","labl":"El Dabaa","stats":null,"type":null},{"value":"8183305","labl":"Sidi Barrani","stats":null,"type":null},{"value":"8183306","labl":"Siwa","stats":null,"type":null},{"value":"8183307","labl":"Marina El Alamein","stats":null,"type":null},{"value":"8183308","labl":"North Coast (part)","stats":null,"type":null},{"value":"8183401","labl":"Qism Awel  El Arish","stats":null,"type":null},{"value":"8183402","labl":"Qism Tani  El Arish","stats":null,"type":null},{"value":"8183403","labl":"Qism Talet  El Arish","stats":null,"type":null},{"value":"8183404","labl":"Qism Rabaa  El Arish","stats":null,"type":null},{"value":"8183405","labl":"Bir el Abd","stats":null,"type":null},{"value":"8183406","labl":"El Hasna","stats":null,"type":null},{"value":"8183407","labl":"Nekhel","stats":null,"type":null},{"value":"8183408","labl":"Sheikh Zuweid","stats":null,"type":null},{"value":"8183409","labl":"Rafah","stats":null,"type":null},{"value":"8183410","labl":"Remanah","stats":null,"type":null},{"value":"8183411","labl":"El Qosimah","stats":null,"type":null},{"value":"8183501","labl":"El-Tor","stats":null,"type":null},{"value":"8183502","labl":"Ras Sedr","stats":null,"type":null},{"value":"8183503","labl":"Abu Rudeis","stats":null,"type":null},{"value":"8183504","labl":"Saint Catherine","stats":null,"type":null},{"value":"8183505","labl":"Sharm el-Sheikh","stats":null,"type":null},{"value":"8183506","labl":"Dahab","stats":null,"type":null},{"value":"8183507","labl":"Nuweiba","stats":null,"type":null},{"value":"8183508","labl":"Taba","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----------------------\nTo generate the Region and Area of residence, the original variables will be recoded to include the country UN standardized 3 digits code (already used in COUNTRY) in addition to the REG or AREA code, standardized on 3 digits as well.\nThis is to avoid possible mismatches between these two variables' codes across different countries when the datasets are merged.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe 'AREA' variable (first area level) indicates the qism\/markaz in the original data. The qism classification follows the Guide of Administrative Units in Egypt for the year 2006 as indicated by CAPMAS.","fid":"F2"},{"vid":"V105","name":"AREA_S","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"36","var_end_pos":"44","var_width":"9","var_rec_seg_no":"1","labl":"Second area level","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"818010105","max":"818350301"}],"var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Third geographical variable identifying another aspect of the location of the unit not described in REG such as city or village.","var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nTo generate the Region and Area of residence, the original variables will be recoded to include the country UN standardized 3 digits code (already used in COUNTRY) in addition to the REG or AREA code, standardized on 3 digits as well.\nThis is to avoid possible mismatches between these two variables' codes across different countries when the datasets are merged.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe 'AREA_S' variable indicates the second area level, denoted by the variable 'shiakha' in the original data. It follows the Guide of Administrative Units in Egypt for the year 2006 as indicated by CAPMAS.","fid":"F2"},{"vid":"V106","name":"PSUNUM","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"45","var_end_pos":"47","var_width":"3","var_rec_seg_no":"1","labl":"Primary Sampling Unit identifier","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"686"}],"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":"Anonymous Primary Sampling Unit identifier 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----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V107","name":"RURURB","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"48","var_end_pos":"48","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":"Indicates whether the region is urban\/rural.","var_catgry":[{"value":"0","labl":"Rural","stats":null,"type":null},{"value":"1","labl":"Urban","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), the \"refugee camp\" category is coded \"2\".\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V108","name":"AGE","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"49","var_end_pos":"50","var_width":"2","var_rec_seg_no":"1","labl":"Age","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","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_txt":"Age in completed 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, the age may be calculated at a certain reference date (e.g., 31 December of the year preceding the survey). 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\nIn some surveys, the date of birth is reported instead of reporting the age value. In such cases, it should be computed based on the date of birth and the survey year.\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V109","name":"SEX","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"51","var_end_pos":"51","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 the gender of the 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":"V110","name":"MART","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"52","var_end_pos":"53","var_width":"2","var_rec_seg_no":"1","labl":"Marital status [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Individuals aged 15+","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, an individual can still be 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},{"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----------------------\nThere is no polygamous status for females. Generally the information about polygamous status is available only for the male head. For the other individuals, we consider those having the status married as monogamous.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe \"married polygamous\" category was generated for the head of the household only if the number of spouses exceeds \"1\".","fid":"F2"},{"vid":"V111","name":"MART_D","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"54","var_end_pos":"56","var_width":"3","var_rec_seg_no":"1","labl":"Marital status [Detailed version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"100","max":"999"}],"var_universe":"Individuals aged 15+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Detailed legal administrative status concerning marriage & partnership (even if not married, an individual can still be legally recognized as being in a relationship).","var_catgry":[{"value":"100","labl":"Never married","stats":null,"type":null},{"value":"200","labl":"Married monogamous","stats":null,"type":null},{"value":"210","labl":"Legally married","stats":null,"type":null},{"value":"220","labl":"Married","stats":null,"type":null},{"value":"300","labl":"Married polygamous","stats":null,"type":null},{"value":"400","labl":"Divorced\/Separated","stats":null,"type":null},{"value":"410","labl":"Separated","stats":null,"type":null},{"value":"420","labl":"Divorced","stats":null,"type":null},{"value":"500","labl":"Widowed","stats":null,"type":null},{"value":"999","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----------------------\nThere is no polygamous status for females. Generally the information about polygamous status is available only for the male head. For the other individuals we consider those having the status married as monogamous. \nThis variable distinguishes also between legal marriage and marriage, and between separation and divorce. \n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe \"married polygamous\" category was generated for the head of the household only if the number of spouses exceeds \"1\".","fid":"F2"},{"vid":"V112","name":"REL","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"57","var_end_pos":"57","var_width":"1","var_rec_seg_no":"1","labl":"Relationship to head [Standardized version]","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 value \"other relatives\" includes nephew and niece, grandparents, sons\/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":"V113","name":"REL_D","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"58","var_end_pos":"60","var_width":"3","var_rec_seg_no":"1","labl":"Relationship to head [Detailed version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"100","max":"850"}],"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 '100' always stands for the head of the household him\/herself. Detailed coding indicates different relations for other relatives and other non-relatives to the head.","var_catgry":[{"value":"100","labl":"Head of household","stats":null,"type":null},{"value":"200","labl":"Spouse","stats":null,"type":null},{"value":"300","labl":"Son\/daughter","stats":null,"type":null},{"value":"310","labl":"Adopted children","stats":null,"type":null},{"value":"400","labl":"Father\/mother (parents)","stats":null,"type":null},{"value":"500","labl":"Brother\/sister","stats":null,"type":null},{"value":"600","labl":"Grandchildren","stats":null,"type":null},{"value":"700","labl":"Other relatives","stats":null,"type":null},{"value":"710","labl":"Son\/daughter in law","stats":null,"type":null},{"value":"720","labl":"Grandparents","stats":null,"type":null},{"value":"730","labl":"Father\/mother in law","stats":null,"type":null},{"value":"740","labl":"Brother\/sister in law","stats":null,"type":null},{"value":"750","labl":"Nephew\/niece","stats":null,"type":null},{"value":"800","labl":"Other non-relatives","stats":null,"type":null},{"value":"810","labl":"Servants","stats":null,"type":null},{"value":"820","labl":"Doorkeeper","stats":null,"type":null},{"value":"830","labl":"Driver","stats":null,"type":null},{"value":"840","labl":"Shepherd","stats":null,"type":null},{"value":"850","labl":"Farmer","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":"V114","name":"LIT","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":"Literacy status","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"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 individual is or is not literate (can read and write).","var_catgry":[{"value":"0","labl":"No","stats":null,"type":null},{"value":"1","labl":"Can read & write","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----------------------\nAn individual is considered literate if he\/she can both read and write and not just one or the other. A semi-literate individual (one who can read, but cannot write) is said to be illiterate. In the case where the survey only asks whether an individual can read but does not ask if they can write, and in the case that there is no information in the questionnaire about the reading and writing ability, the literacy status cannot be determined, and these are coded as missing. \nIf there are no questions about the reading and writing abilities, but the educational attainment is elementary or upper, the individual is considered literate.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe code \"1\" in the original variable indicating those below the question age category were recoded missing.","fid":"F2"},{"vid":"V115","name":"EVERATTD","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":"Ever attended school","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"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 individual has ever attended school - academic, Koranic, or any other formal or informal education.","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----------------------\nThis variable is valid for all individuals in the pre-primary school age or above while it is coded missing for others. Primary school age will vary by country.\nThis is a country-specific standard that depends on how school attendance is defined. Pre-school may be included here. Also, in some countries, the ever attended school variable could be coded yes even if the individual has attended school for a 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----------------------------------\nThe code \"1\" in the original variable indicating those below the question age category were recoded missing.","fid":"F2"},{"vid":"V116","name":"ATTSCH","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":"School attendance status","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Individuals aged 6+","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 is attending school at the time of the survey.","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----------------------\nIf a person is on a 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.\nThe variable can be created using either the attendance or the enrolment question (since typically just one of them is available in each survey). \nThe generation of this variable does not require one to have completed any level to be considered currently attending school.\nAdults currently attending literacy programs are considered as attending school (ATTSCH = 1).\nIn the case that the person is not currently attending school but there is no information on whether he\/she attended school and left or never attended school use information from EDUC to impute the right value.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe code \"1\" in the original variable indicating those below the question age category were recoded missing.","fid":"F2"},{"vid":"V117","name":"EDUC","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":"Educational level [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"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 should indicate the highest level of education attained\/ completed.","var_catgry":[{"value":"1","labl":"None","stats":null,"type":null},{"value":"2","labl":"Primary\/Lower secondary","stats":null,"type":null},{"value":"3","labl":"Secondary","stats":null,"type":null},{"value":"4","labl":"Post secondary or equivalent","stats":null,"type":null},{"value":"5","labl":"University","stats":null,"type":null},{"value":"6","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----------------------\nThis variable is generated based on the highest educational attainment variable.\nPrimary corresponds to elementary, and lower secondary to preparatory\/second stage of basic education.\nIf there is no information on the highest level of education completed, the variable can be constructed using the diploma level, and the years of education, if available. \nWhen using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attended 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 individual never attended school; it means that the individual did not complete the first level of education (elementary). \n\"None\" corresponds either to those currently enrolled in primary but didn't get the diploma, those illiterate or can read and write, and those in informal schools, such as Koranic schools, traditional schools, vocational training or adult programs etc. \nIf there is no question on the 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.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe code \"1\" in the original variable indicating those below the question age category were recoded missing.","fid":"F2"},{"vid":"V118","name":"EDUC_D","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"69","var_end_pos":"71","var_width":"3","var_rec_seg_no":"1","labl":"Educational level  [Detailed version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"100","max":"999"}],"var_universe":"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":"Highest level of education attained (detailed version of coding).","var_catgry":[{"value":"100","labl":"None","stats":null,"type":null},{"value":"110","labl":"Illiterate","stats":null,"type":null},{"value":"120","labl":"Read only","stats":null,"type":null},{"value":"130","labl":"Read & write","stats":null,"type":null},{"value":"140","labl":"Literacy classes\/certificate","stats":null,"type":null},{"value":"150","labl":"Never attended school","stats":null,"type":null},{"value":"160","labl":"KG","stats":null,"type":null},{"value":"170","labl":"Koranic KG (Kouttab)","stats":null,"type":null},{"value":"180","labl":"Attending elementary school and did not complete first level","stats":null,"type":null},{"value":"200","labl":"Primary\/Lower secondary","stats":null,"type":null},{"value":"210","labl":"Primary","stats":null,"type":null},{"value":"220","labl":"Preparatory","stats":null,"type":null},{"value":"230","labl":"Lower secondary","stats":null,"type":null},{"value":"240","labl":"Professional\/Vocational below secondary education","stats":null,"type":null},{"value":"300","labl":"Secondary","stats":null,"type":null},{"value":"310","labl":"Academic secondary","stats":null,"type":null},{"value":"320","labl":"Professional\/Vocational secondary","stats":null,"type":null},{"value":"400","labl":"Post secondary or equivalent","stats":null,"type":null},{"value":"500","labl":"University","stats":null,"type":null},{"value":"600","labl":"Postgraduate","stats":null,"type":null},{"value":"610","labl":"High diploma","stats":null,"type":null},{"value":"620","labl":"Masters","stats":null,"type":null},{"value":"630","labl":"PhD","stats":null,"type":null},{"value":"999","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----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe code \"1\" in the original variable indicating those below the question age category were recoded missing.\nIn the education system of Egypt, the Academic secondary includes both graduates of Public, Private, International or Azhar schools","fid":"F2"},{"vid":"V119","name":"CERTIF","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"72","var_end_pos":"77","var_width":"6","var_rec_seg_no":"1","labl":"Certificate specialization","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"301","max":"999999"}],"var_universe":"Individuals aged 15+ holding a below secondary\/ secondary certificate or highe","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 provides information on the specialization of the highest certificate attained.","var_catgry":[{"value":"301","labl":"General Secondary","stats":null,"type":null},{"value":"302","labl":"Vocational Secondary Agriculture","stats":null,"type":null},{"value":"303","labl":"Vocational Secondary Commerce","stats":null,"type":null},{"value":"304","labl":"Vocational Secondary Induserial","stats":null,"type":null},{"value":"305","labl":"Vocational Secondary Nursering","stats":null,"type":null},{"value":"306","labl":"Other Vocational Secondary Educ.","stats":null,"type":null},{"value":"307","labl":"Other Secondary Educ.","stats":null,"type":null},{"value":"309","labl":"Secondary Education -Disabled","stats":null,"type":null},{"value":"401","labl":"Above intermaediate","stats":null,"type":null},{"value":"514","labl":"Teacher training and education science","stats":null,"type":null},{"value":"521","labl":"Arts","stats":null,"type":null},{"value":"522","labl":"Humanities","stats":null,"type":null},{"value":"531","labl":"Social Sciences and Economics and Political Science","stats":null,"type":null},{"value":"532","labl":"Press and media, documents and libraries","stats":null,"type":null},{"value":"534","labl":"Commercial and Business Administration","stats":null,"type":null},{"value":"538","labl":"Shari'a & law","stats":null,"type":null},{"value":"542","labl":"Life Sciences","stats":null,"type":null},{"value":"544","labl":"Physical science","stats":null,"type":null},{"value":"546","labl":"Mathematics and statistics","stats":null,"type":null},{"value":"548","labl":"Informatics and Computer Science","stats":null,"type":null},{"value":"552","labl":"Engineering and engineering industries","stats":null,"type":null},{"value":"554","labl":"Manufacturing and Engineering","stats":null,"type":null},{"value":"558","labl":"Civil architecture and construction","stats":null,"type":null},{"value":"562","labl":"Agriculture","stats":null,"type":null},{"value":"564","labl":"Veterinary","stats":null,"type":null},{"value":"572","labl":"Health\/Medicine\/dental\/pharmacy\/nursing","stats":null,"type":null},{"value":"576","labl":"Social Service","stats":null,"type":null},{"value":"581","labl":"Personal services, tourism and hotels","stats":null,"type":null},{"value":"584","labl":"Transport, maritime and aviation services","stats":null,"type":null},{"value":"586","labl":"Security service","stats":null,"type":null},{"value":"614","labl":"Post graduate in Teacher training and education science","stats":null,"type":null},{"value":"621","labl":"Post graduate in Arts","stats":null,"type":null},{"value":"622","labl":"Post graduate in Humanities","stats":null,"type":null},{"value":"631","labl":"Post graduate in Social Sciences and Economics and Politica","stats":null,"type":null},{"value":"632","labl":"Post graduate in Press and media, documents and libraries","stats":null,"type":null},{"value":"634","labl":"Post graduate in Commercial and Business Administration","stats":null,"type":null},{"value":"638","labl":"Post graduate in Shari'a & law","stats":null,"type":null},{"value":"642","labl":"Post graduate in Life Sciences","stats":null,"type":null},{"value":"644","labl":"Post graduate in Physical science","stats":null,"type":null},{"value":"646","labl":"Post graduate in Mathematics and statistics","stats":null,"type":null},{"value":"648","labl":"Post graduate in Informatics and Computer Science","stats":null,"type":null},{"value":"652","labl":"Post graduate in Engineering and engineering industries","stats":null,"type":null},{"value":"654","labl":"Post graduate in Manufacturing and Engineering","stats":null,"type":null},{"value":"658","labl":"Post graduate in Civil architecture and construction","stats":null,"type":null},{"value":"662","labl":"Post graduate in Agriculture","stats":null,"type":null},{"value":"664","labl":"Post graduate in Veterinary","stats":null,"type":null},{"value":"672","labl":"Post graduate in Health\/Medicine\/dental\/pharmacy\/nursing","stats":null,"type":null},{"value":"676","labl":"Post graduate in Social Service","stats":null,"type":null},{"value":"681","labl":"Post graduate in Personal services, tourism and hotels","stats":null,"type":null},{"value":"684","labl":"Post graduate in Transport, maritime and aviation services","stats":null,"type":null},{"value":"685","labl":"Post graduate in Environment","stats":null,"type":null},{"value":"686","labl":"Post graduate in Security service","stats":null,"type":null},{"value":"999999","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----------------------\nThis variable usually follows a country specific coding classification. Therefore, it is not harmonized across countries, and in some datasets across years.\nThis variable covers those holding either a below secondary or a secondary certificate or higher. This is country specific information that is always indicated in the variable universe column.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the certificate specialization (educ_lastcetif) is not reported for those who are holding academic secondary. Thus, the generated variable for those cases are recoded \"not stated\".","fid":"F2"},{"vid":"V120","name":"YEDUC","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"78","var_end_pos":"79","var_width":"2","var_rec_seg_no":"1","labl":"Number of effective years of schooling","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"23"}],"var_universe":"Individuals aged 6+","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 variable should indicate the total number of years of formal schooling successfully completed.","var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIf the variable is not available in the original data, it can be generated using the highest level of education attained. However, the number of years of schooling required to complete different education levels is country specific.\nIf the level of education attained is also not provided, this variable will be missing.\nOnly the years of schooling successfully completed should be counted. Thus, those repeated should not be taken into consideration while generating this variable.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nGenerated by the ERF.\nFor those who never attended school or attended and completed, the highest level of education attained was used to estimate the number of years of schooling completed. While for those who were attending school at the time of the survey or previously dropped-out, the level and the class currently attending\/last attended was used.\nThose who can read & write or have a  literacy certificate were assumed to have completed 2 year","fid":"F2"},{"vid":"V121","name":"ENROL","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"80","var_end_pos":"81","var_width":"2","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":"99"}],"var_universe":"Currently enrolled individuals aged 6+","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 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},{"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 universe of this variable covers the individuals attending school at the time of the survey (ATTSCH=1), and will be coded missing for others.\nIf the type of secondary school is not specified, it is assumed to be academic (Code 3).\nFor the surveys in which no distinction is provided between university and post university, they are considered to be university.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V122","name":"LFS","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"82","var_end_pos":"83","var_width":"2","var_rec_seg_no":"1","labl":"Labor force status in the reference period","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Individuals aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"The current labor force status should distinguish between the active (employed or unemployed) and inactive individuals (out of the labor 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----------------------\nIndividuals are considered \"active\" in the labor 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). Those unemployed and do not seek a job are considered inactive.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V123","name":"MAS","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"84","var_end_pos":"85","var_width":"2","var_rec_seg_no":"1","labl":"Main activity status in the reference period [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Individuals aged 6+","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 labor force, which 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 LFS, the main distinction in MAS is between employed and not employed\nEmployed: refers to those who, during the reference period, experienced any employment (any type or any extent) - even just one occasional hour of paid work or irregular unpaid family work (ILO definition).\nNot employed: The rationale is that the individuals do not generally spend their time being unemployed, but use the unemployment time 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 their own category among the Not employed\n\nAccordingly, Not employed is classified into:\n\n* Unemployed individuals who are not employed comprise all who are not in employment but currently available to take up employment and carry out activities to seek employment, and who report that they are unemployed.\n* Not in Labor Force\/Inactive- individuals identifiable as being neither employed nor unemployed, by the definitions above. If possible, the inactive category should distinguish between the retired, students, homemakers, pensioners, etc.\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThose reported pensioners in the raw data are aged 64 years or younger, while all those aged 65 years or older are coded \"above 65 years and not working\", thus pensioners aged 65 years or older cannot be identified.\n\n608 cases are reported students in the reason for which they do not desire\/ready to work, while they are not coded enrolled at the time of the survey in the education enrollment status variable. No changes were done for those cases, they might not be still enrolled at the time of the survey but plan to get enrolled therefore that are not willing to start worki","fid":"F2"},{"vid":"V124","name":"MAS_D","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"86","var_end_pos":"88","var_width":"3","var_rec_seg_no":"1","labl":"Main activity status in the reference period [Detailed version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"100","max":"999"}],"var_universe":"Individuals aged 6+","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 labor force, which 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. This detailed variable also distinguishes between different types of employment and unemployment.","var_catgry":[{"value":"100","labl":"Employed","stats":null,"type":null},{"value":"110","labl":"Employed but temporary absent from work","stats":null,"type":null},{"value":"111","labl":"Sick leave\/Ill","stats":null,"type":null},{"value":"112","labl":"Vacation\/Official vacation","stats":null,"type":null},{"value":"113","labl":"Temporary stoppage of the industry","stats":null,"type":null},{"value":"114","labl":"Travel","stats":null,"type":null},{"value":"115","labl":"Strike\/Curfew","stats":null,"type":null},{"value":"120","labl":"Managing own properties","stats":null,"type":null},{"value":"130","labl":"Employed but temporary unpaid","stats":null,"type":null},{"value":"131","labl":"Arranges to take up paid\/self- employment activity","stats":null,"type":null},{"value":"132","labl":"Waiting for the start date of an agreed work","stats":null,"type":null},{"value":"133","labl":"Waiting to have clients","stats":null,"type":null},{"value":"134","labl":"Unpaid leave for more than one year","stats":null,"type":null},{"value":"135","labl":"Waiting to go back to previous job","stats":null,"type":null},{"value":"200","labl":"Unemployed","stats":null,"type":null},{"value":"210","labl":"Unemployed ever worked (seeking a job)","stats":null,"type":null},{"value":"220","labl":"Unemployed never worked (seeking a job)","stats":null,"type":null},{"value":"230","labl":"Unemployed (not seeking a job)","stats":null,"type":null},{"value":"231","labl":"Awaiting a recall to a previous job (temporary laid off)","stats":null,"type":null},{"value":"232","labl":"Awaiting work applications\/interviews\/competitions results","stats":null,"type":null},{"value":"233","labl":"Unable to issue work permission due to political circumstanc","stats":null,"type":null},{"value":"234","labl":"Not able to seek a job due to closure\/curfew","stats":null,"type":null},{"value":"235","labl":"In military service","stats":null,"type":null},{"value":"300","labl":"Homemaker (Housewife)","stats":null,"type":null},{"value":"310","labl":"Homemaker","stats":null,"type":null},{"value":"320","labl":"Housewife","stats":null,"type":null},{"value":"400","labl":"Student","stats":null,"type":null},{"value":"500","labl":"Pensioners\/retired\/disabled","stats":null,"type":null},{"value":"510","labl":"Pensioners","stats":null,"type":null},{"value":"520","labl":"Retired","stats":null,"type":null},{"value":"530","labl":"Disabled","stats":null,"type":null},{"value":"540","labl":"Unable to work","stats":null,"type":null},{"value":"550","labl":"Old","stats":null,"type":null},{"value":"560","labl":"Disabled\/Old\/Ill","stats":null,"type":null},{"value":"600","labl":"Others","stats":null,"type":null},{"value":"610","labl":"Out of labor force","stats":null,"type":null},{"value":"620","labl":"Discouraged unemployment","stats":null,"type":null},{"value":"630","labl":"Not working and not looking for a job","stats":null,"type":null},{"value":"640","labl":"Have income\/revenue\/means","stats":null,"type":null},{"value":"650","labl":"In prison","stats":null,"type":null},{"value":"660","labl":"In hospital","stats":null,"type":null},{"value":"670","labl":"Landlord","stats":null,"type":null},{"value":"680","labl":"Family responsibilities","stats":null,"type":null},{"value":"999","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----------------------\nAmong the employed, the variable should distinguish between those who are actually employed, those who are temporarily absent from work (by reason of absence if available), those managing their own properties and those who are engaged in a job opportunity but are temporarily unpaid.\n\nSimilarly, for the unemployed, the variable, if possible, should identify those who have worked before and those who have never worked, in addition to the unemployed who are not seeking a job, with the reason for why the individual is not looking for a job opportunity.\n\nThe code 113 indicating temporary stoppage of the industry may also indicate an activity reduction or a temporary closure, which means that the employing entity might not be working in full capacity. This might be due to a lack in the number of customers or to a shortage in demand. In both cases, this should always imply that the individual is still employed (temporarily absent) since he\/she is still paid\/earn income.\n\nThe reasons for which the person is identified to be a discouraged unemployed (Code 620) are reported in detail in the variable (NOTSRCH_R).\n \nDiscouraged unemployment includes those who are available and want to work but given up on searching for a job because they found no suitable employment options and\/or were met with lack of success when applying.\n\nFamily responsibilities includes taking caring for children, the incapacitated or elderly.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThose reported pensioners in the raw data are aged 64 years or younger, while all those aged 65 years or older are coded \"above 65 years and not working\", thus pensioners aged 65 years or older cannot be identified.\n\nThe 8 cases recoded 232 in the harmonized data are those awaiting to get a job from the ministry of manpower.\n\n327 cases are reported students in the reason for which they do not desire\/ready to work, while they are not coded enrolled at the time of the survey in the education enrollment status variable. No changes were done for those cases, they might not be still enrolled at the time of the survey but plan to get enrolled therefore that are not willing to start working","fid":"F2"},{"vid":"V125","name":"EMPS","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":"Status of employment in the main job during the reference period","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Employed individuals aged 6+","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 the main job, ideally following the ICSE classification (1993)..","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----------------------\nDefinitions are taken from the ILO Classification of Status in Employment with some revisions to take into account the available data.\n- Employee includes anyone who works for a public or private employer and 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 payment is based on an explicit (written or oral) or implicit employment contract. The continuous criteria used in the ILO definition is not used here as data are often absent and due to country specificity. Public includes quasi-government organizations.\n- Employer 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 individual is not considered an employer (as they have no employees) and is, instead classified as own account. Employer is termed as a self-employed worker with hired employees.\n- Own account or self-employment: jobs are those where remuneration is directly dependent on the goods and services 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 (e.g., freelancer, individual who gives private lessons or apprentices without payment).\n- Members of producers\u2019 cooperatives are workers who hold a self-employment job in a cooperative that produces goods and services. In the cooperative, hired workers and these workers have an employment contract that gives them a basic remuneration that does not depend on the revenue of the cooperative. Such workers are defined as employees and the members of the cooperative are considered as self-employed while the cooperative as an institution is defined to be the employer.\n- Contributing family workers are those workers who hold a self-employment job in a market-oriented establishment operated by a related individual living in the same household (or in a house located on the same plot of land and has the same household interests) 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. These workers often receive remuneration in a form of fringe benefits and payments in kind when the business is owned or operated by the individuals themselves or a relative. This category does not include: unpaid voluntary work done for charity or a relative living elsewhere but coming to help with the business without pay in cash or in kind. Relatives who receive any remuneration (including payments in kind) should be classified as employees.\n- Workers 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.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\n82 cases among the employees are unpaid workers, the rest are waged workers.\nFor those employed but temporary unpaid (MAS_D=130), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F2"},{"vid":"V126","name":"OCC","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"91","var_end_pos":"93","var_width":"3","var_rec_seg_no":"1","labl":"Occupation classification of the main job [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"10","max":"999"}],"var_universe":"Employed individuals aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Standardized occupation classification of the main job.","var_catgry":[{"value":"10","labl":"Legislators, senior officials and managers","stats":null,"type":null},{"value":"20","labl":"Professionals","stats":null,"type":null},{"value":"30","labl":"Technicians and associate professionals","stats":null,"type":null},{"value":"40","labl":"Clerks","stats":null,"type":null},{"value":"50","labl":"Service workers and shop and market sales workers","stats":null,"type":null},{"value":"60","labl":"Skilled agricultural and fishery workers","stats":null,"type":null},{"value":"70","labl":"Craft and related trades workers","stats":null,"type":null},{"value":"80","labl":"Plant and machine operators, and assemblers","stats":null,"type":null},{"value":"90","labl":"Elementary occupations","stats":null,"type":null},{"value":"100","labl":"Armed forces","stats":null,"type":null},{"value":"998","labl":"Other\/unspecified","stats":null,"type":null},{"value":"999","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 to code the detailed data collected. In such cases, if the aggregated data is provided by the statistical office, no attempt to correct the original variable is done.\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nFor those employed but temporary unpaid (MAS_D=130), all main job characteristics were recoded \"not stated\" since they did not effectively start working. \n\nAs stated in the methodology provided with the dataset from CAPMAS, the occupation variable's codes were recoded based on the occupational classification index issued in July 2005 which is consistent with the International Standard Classification of Occupations for 1988 (ISCO-88","fid":"F2"},{"vid":"V127","name":"OCC_ISCO88_4","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"94","var_end_pos":"97","var_width":"4","var_rec_seg_no":"1","labl":"Occupation classification of the main job [ISCO 1988-4 digits]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"110","max":"9999"}],"var_universe":"Employed individuals aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Occupation classification of the main job, following the 4-digits International Standard Classification of Occupations for the year 1988 (ISCO-88).","var_catgry":[{"value":"110","labl":"Armed forces","stats":null,"type":null},{"value":"1110","labl":"Legislators","stats":null,"type":null},{"value":"1120","labl":"Senior government officials","stats":null,"type":null},{"value":"1130","labl":"Traditional chiefs and heads of villages","stats":null,"type":null},{"value":"1141","labl":"Senior officials of political-party organizations","stats":null,"type":null},{"value":"1142","labl":"Senior officials of employers', workers' and other economic-","stats":null,"type":null},{"value":"1143","labl":"Senior officials of humanitarian and other special-interest","stats":null,"type":null},{"value":"1210","labl":"Directors and chief executives","stats":null,"type":null},{"value":"1221","labl":"Production and operations department managers in agriculture","stats":null,"type":null},{"value":"1222","labl":"Production and operations department managers in manufacturi","stats":null,"type":null},{"value":"1223","labl":"Production and operations department managers in constructio","stats":null,"type":null},{"value":"1224","labl":"Production and operations department managers in wholesale a","stats":null,"type":null},{"value":"1225","labl":"Production and operations department managers in restaurants","stats":null,"type":null},{"value":"1226","labl":"Production and operations department managers in transport,","stats":null,"type":null},{"value":"1227","labl":"Production and operations department managers in business se","stats":null,"type":null},{"value":"1228","labl":"Production and operations department managers in personal ca","stats":null,"type":null},{"value":"1229","labl":"Production and operations department managers not elsewhere","stats":null,"type":null},{"value":"1231","labl":"Finance and administration department managers","stats":null,"type":null},{"value":"1232","labl":"Personnel and industrial relations department managers","stats":null,"type":null},{"value":"1233","labl":"Sales and marketing department managers","stats":null,"type":null},{"value":"1234","labl":"Advertising and public relations department managers","stats":null,"type":null},{"value":"1235","labl":"Supply and distribution department managers","stats":null,"type":null},{"value":"1236","labl":"Computing services department managers","stats":null,"type":null},{"value":"1237","labl":"Research and development department managers","stats":null,"type":null},{"value":"1239","labl":"Other department managers not elsewhere classified","stats":null,"type":null},{"value":"1311","labl":"General managers in agriculture, hunting, forestry\/ and fish","stats":null,"type":null},{"value":"1312","labl":"General managers in manufacturing","stats":null,"type":null},{"value":"1313","labl":"General managers in construction","stats":null,"type":null},{"value":"1314","labl":"General managers in wholesale and retail trade","stats":null,"type":null},{"value":"1315","labl":"General managers of restaurants and hotels","stats":null,"type":null},{"value":"1316","labl":"General managers in transport, storage and communications","stats":null,"type":null},{"value":"1317","labl":"General managers of business services","stats":null,"type":null},{"value":"1318","labl":"General managers in personal care, cleaning and related serv","stats":null,"type":null},{"value":"1319","labl":"General managers not elsewhere classified","stats":null,"type":null},{"value":"2111","labl":"Physicists and astronomers","stats":null,"type":null},{"value":"2112","labl":"Meteorologists","stats":null,"type":null},{"value":"2113","labl":"Chemists","stats":null,"type":null},{"value":"2114","labl":"Geologists and geophysicists","stats":null,"type":null},{"value":"2121","labl":"Mathematicians and related professionals","stats":null,"type":null},{"value":"2122","labl":"Statisticians","stats":null,"type":null},{"value":"2131","labl":"Computer systems designers and analysts","stats":null,"type":null},{"value":"2132","labl":"Computer programmers","stats":null,"type":null},{"value":"2139","labl":"Computing professionals not elsewhere classified","stats":null,"type":null},{"value":"2141","labl":"Architects, town and traffic planners","stats":null,"type":null},{"value":"2142","labl":"Civil engineers","stats":null,"type":null},{"value":"2143","labl":"Electrical engineers","stats":null,"type":null},{"value":"2144","labl":"Electronics and telecommunications engineers","stats":null,"type":null},{"value":"2145","labl":"Mechanical engineers","stats":null,"type":null},{"value":"2146","labl":"Chemical engineers","stats":null,"type":null},{"value":"2147","labl":"Mining engineers, metallurgists and related professionals","stats":null,"type":null},{"value":"2148","labl":"Cartographers and surveyors","stats":null,"type":null},{"value":"2149","labl":"Architects, engineers and related professionals not elsewher","stats":null,"type":null},{"value":"2211","labl":"Biologists, botanists, zoologists and related professionals","stats":null,"type":null},{"value":"2212","labl":"Pharmacologists, pathologists and related professionals","stats":null,"type":null},{"value":"2213","labl":"Agronomists and related professionals","stats":null,"type":null},{"value":"2221","labl":"Medical 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professionals","stats":null,"type":null},{"value":"2443","labl":"Philosophers, historians and political scientists","stats":null,"type":null},{"value":"2444","labl":"Philologists, translators and interpreters","stats":null,"type":null},{"value":"2445","labl":"Psychologists","stats":null,"type":null},{"value":"2446","labl":"Social work professionals","stats":null,"type":null},{"value":"2451","labl":"Authors, journalists and other writers","stats":null,"type":null},{"value":"2452","labl":"Sculptors, painters and related artists","stats":null,"type":null},{"value":"2453","labl":"Composers, musicians and singers","stats":null,"type":null},{"value":"2454","labl":"Choreographers and dancers","stats":null,"type":null},{"value":"2455","labl":"Film, stage and related actors and directors","stats":null,"type":null},{"value":"2460","labl":"Religious professionals","stats":null,"type":null},{"value":"3111","labl":"Chemical and physical science technicians","stats":null,"type":null},{"value":"3112","labl":"Civil engineering technicians","stats":null,"type":null},{"value":"3113","labl":"Electrical engineering technicians","stats":null,"type":null},{"value":"3114","labl":"Electronics and telecommunications engineering technicians","stats":null,"type":null},{"value":"3115","labl":"Mechanical engineering technicians","stats":null,"type":null},{"value":"3116","labl":"Chemical engineering technicians","stats":null,"type":null},{"value":"3117","labl":"Mining and metallurgical technicians","stats":null,"type":null},{"value":"3118","labl":"Draughtspersons","stats":null,"type":null},{"value":"3119","labl":"Physical and engineering science technicians not elsewhere c","stats":null,"type":null},{"value":"3121","labl":"Computer assistants","stats":null,"type":null},{"value":"3122","labl":"Computer equipment operators","stats":null,"type":null},{"value":"3123","labl":"Industrial robot 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inspectors","stats":null,"type":null},{"value":"3211","labl":"Life science technicians","stats":null,"type":null},{"value":"3212","labl":"Agronomy and forestry technicians","stats":null,"type":null},{"value":"3213","labl":"Farming and forestry advisers","stats":null,"type":null},{"value":"3221","labl":"Medical assistants","stats":null,"type":null},{"value":"3222","labl":"Sanitarians","stats":null,"type":null},{"value":"3223","labl":"Dieticians and nutritionists","stats":null,"type":null},{"value":"3224","labl":"Optometrists and opticians","stats":null,"type":null},{"value":"3225","labl":"Dental assistants","stats":null,"type":null},{"value":"3226","labl":"Physiotherapists and related associate professionals","stats":null,"type":null},{"value":"3227","labl":"Veterinary assistants","stats":null,"type":null},{"value":"3228","labl":"Pharmaceutical assistants","stats":null,"type":null},{"value":"3229","labl":"Modern health associate professionals (except nursing) not e","stats":null,"type":null},{"value":"3231","labl":"Nursing associate professionals","stats":null,"type":null},{"value":"3232","labl":"Midwifery associate professionals","stats":null,"type":null},{"value":"3241","labl":"Traditional medicine practitioners","stats":null,"type":null},{"value":"3242","labl":"Faith healers","stats":null,"type":null},{"value":"3310","labl":"Primary education teaching associate professionals","stats":null,"type":null},{"value":"3320","labl":"Pre-primary education teaching associate professionals","stats":null,"type":null},{"value":"3330","labl":"Special education teaching associate professionals","stats":null,"type":null},{"value":"3340","labl":"Other teaching associate professionals","stats":null,"type":null},{"value":"3411","labl":"Securities and finance dealers and brokers","stats":null,"type":null},{"value":"3412","labl":"Insurance representatives","stats":null,"type":null},{"value":"3413","labl":"Estate agents","stats":null,"type":null},{"value":"3414","labl":"Travel consultants and organizers","stats":null,"type":null},{"value":"3415","labl":"Technical and commercial sales representatives","stats":null,"type":null},{"value":"3416","labl":"Buyers","stats":null,"type":null},{"value":"3417","labl":"Appraisers, valuers and auctioneers","stats":null,"type":null},{"value":"3419","labl":"Finance and sales associate professionals not elsewhere clas","stats":null,"type":null},{"value":"3421","labl":"Trade brokers","stats":null,"type":null},{"value":"3422","labl":"Clearing and forwarding agents","stats":null,"type":null},{"value":"3423","labl":"Employment agents and labor contractors","stats":null,"type":null},{"value":"3429","labl":"Business services agents and trade brokers not elsewhere cla","stats":null,"type":null},{"value":"3431","labl":"Administrative secretaries and related associate professiona","stats":null,"type":null},{"value":"3432","labl":"Legal and related business associate professionals","stats":null,"type":null},{"value":"3433","labl":"Bookkeepers","stats":null,"type":null},{"value":"3434","labl":"Statistical, mathematical and related associate professional","stats":null,"type":null},{"value":"3439","labl":"Administrative associate professionals not elsewhere classif","stats":null,"type":null},{"value":"3441","labl":"Customs and border inspectors","stats":null,"type":null},{"value":"3442","labl":"Government tax and excise officials","stats":null,"type":null},{"value":"3443","labl":"Government social benefits officials","stats":null,"type":null},{"value":"3444","labl":"Government licensing officials","stats":null,"type":null},{"value":"3449","labl":"Customs, tax and related government associate professionals","stats":null,"type":null},{"value":"3450","labl":"Police inspectors and detectives","stats":null,"type":null},{"value":"3460","labl":"Social work associate professionals","stats":null,"type":null},{"value":"3471","labl":"Decorators and commercial designers","stats":null,"type":null},{"value":"3472","labl":"Radio, television and other announcers","stats":null,"type":null},{"value":"3473","labl":"Street, night-club and related musicians, singers and dancer","stats":null,"type":null},{"value":"3474","labl":"Clowns, magicians, acrobats and related associate profession","stats":null,"type":null},{"value":"3475","labl":"Athletes, sportspersons and related associate professionals","stats":null,"type":null},{"value":"3480","labl":"Religious associate professionals","stats":null,"type":null},{"value":"4111","labl":"Stenographers and typists","stats":null,"type":null},{"value":"4112","labl":"Word-processor and related operators","stats":null,"type":null},{"value":"4113","labl":"Data entry operators","stats":null,"type":null},{"value":"4114","labl":"Calculating-machine operators","stats":null,"type":null},{"value":"4115","labl":"Secretaries","stats":null,"type":null},{"value":"4121","labl":"Accounting and bookkeeping 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money-lenders","stats":null,"type":null},{"value":"4215","labl":"Debt-collectors and related workers","stats":null,"type":null},{"value":"4221","labl":"Travel agency and related clerks","stats":null,"type":null},{"value":"4222","labl":"Receptionists and information clerks","stats":null,"type":null},{"value":"4223","labl":"Telephone switchboard operators","stats":null,"type":null},{"value":"5111","labl":"Travel attendants and travel stewards","stats":null,"type":null},{"value":"5112","labl":"Transport conductors","stats":null,"type":null},{"value":"5113","labl":"Travel guides","stats":null,"type":null},{"value":"5121","labl":"Housekeepers and related workers","stats":null,"type":null},{"value":"5122","labl":"Cooks","stats":null,"type":null},{"value":"5123","labl":"Waiters, waitresses and bartenders","stats":null,"type":null},{"value":"5131","labl":"Child-care workers","stats":null,"type":null},{"value":"5132","labl":"Institution-based personal care workers","stats":null,"type":null},{"value":"5133","labl":"Home-based personal care workers","stats":null,"type":null},{"value":"5139","labl":"Personal care and related workers not elsewhere classified","stats":null,"type":null},{"value":"5141","labl":"Hairdressers, barbers, beauticians and related workers","stats":null,"type":null},{"value":"5142","labl":"Companions and valets","stats":null,"type":null},{"value":"5143","labl":"Undertakers and embalmers","stats":null,"type":null},{"value":"5149","labl":"Other personal services workers not elsewhere classified","stats":null,"type":null},{"value":"5151","labl":"Astrologers and related workers","stats":null,"type":null},{"value":"5152","labl":"Fortune-tellers, palmists and related workers","stats":null,"type":null},{"value":"5161","labl":"Fire-fighters","stats":null,"type":null},{"value":"5162","labl":"Police officers","stats":null,"type":null},{"value":"5163","labl":"Prison guards","stats":null,"type":null},{"value":"5169","labl":"Protective services workers not elsewhere classified","stats":null,"type":null},{"value":"5210","labl":"Fashion and other models","stats":null,"type":null},{"value":"5220","labl":"Shop salespersons and demonstrators","stats":null,"type":null},{"value":"5230","labl":"Stall and market salespersons","stats":null,"type":null},{"value":"6111","labl":"Field crop and vegetable growers","stats":null,"type":null},{"value":"6112","labl":"Tree and shrub crop growers","stats":null,"type":null},{"value":"6113","labl":"Gardeners, horticultural and nursery growers","stats":null,"type":null},{"value":"6114","labl":"Mixed-crop growers","stats":null,"type":null},{"value":"6121","labl":"Dairy and livestock producers","stats":null,"type":null},{"value":"6122","labl":"Poultry producers","stats":null,"type":null},{"value":"6123","labl":"Apiarists and sericulturists","stats":null,"type":null},{"value":"6124","labl":"Mixed-animal 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activities for the elderly and disabled","stats":null,"type":null},{"value":"8790","labl":"Other residential care activities","stats":null,"type":null},{"value":"8810","labl":"Social work activities without accommodation for the elderly","stats":null,"type":null},{"value":"8890","labl":"Other social work activities without accommodation","stats":null,"type":null},{"value":"9000","labl":"Creative, arts and entertainment activities","stats":null,"type":null},{"value":"9101","labl":"Library and archives activities","stats":null,"type":null},{"value":"9102","labl":"Museums activities and operation of historical sites and bui","stats":null,"type":null},{"value":"9103","labl":"Botanical and zoological gardens and nature reserves activit","stats":null,"type":null},{"value":"9200","labl":"Gambling and betting activities","stats":null,"type":null},{"value":"9311","labl":"Operation of sports facilities","stats":null,"type":null},{"value":"9312","labl":"Activities of sports clubs","stats":null,"type":null},{"value":"9319","labl":"Other sports activities","stats":null,"type":null},{"value":"9321","labl":"Activities of amusement parks and theme parks","stats":null,"type":null},{"value":"9329","labl":"Other amusement and recreation activities n.e.c.","stats":null,"type":null},{"value":"9411","labl":"Activities of business and employers membership organization","stats":null,"type":null},{"value":"9412","labl":"Activities of professional membership organizations","stats":null,"type":null},{"value":"9420","labl":"Activities of trade unions","stats":null,"type":null},{"value":"9491","labl":"Activities of religious organizations","stats":null,"type":null},{"value":"9492","labl":"Activities of political organizations","stats":null,"type":null},{"value":"9499","labl":"Activities of other membership organizations n.e.c.","stats":null,"type":null},{"value":"9511","labl":"Repair of computers and peripheral equipment","stats":null,"type":null},{"value":"9512","labl":"Repair of communication equipment","stats":null,"type":null},{"value":"9521","labl":"Repair of consumer electronics","stats":null,"type":null},{"value":"9522","labl":"Repair of household appliances and home and garden equipment","stats":null,"type":null},{"value":"9523","labl":"Repair of footwear and leather goods","stats":null,"type":null},{"value":"9524","labl":"Repair of furniture and home furnishings","stats":null,"type":null},{"value":"9529","labl":"Repair of other personal and household goods","stats":null,"type":null},{"value":"9601","labl":"Washing and (dry-) cleaning of textile and fur products","stats":null,"type":null},{"value":"9602","labl":"Hairdressing and other beauty treatment","stats":null,"type":null},{"value":"9603","labl":"Funeral and related activities","stats":null,"type":null},{"value":"9609","labl":"Other personal service activities n.e.c.","stats":null,"type":null},{"value":"9700","labl":"Activities of households as employers of domestic personnel","stats":null,"type":null},{"value":"9810","labl":"Undifferentiated goods-producing activities of private house","stats":null,"type":null},{"value":"9820","labl":"Undifferentiated service-producing activities of private hou","stats":null,"type":null},{"value":"9900","labl":"Activities of extraterritorial organizations and bodies","stats":null,"type":null},{"value":"9998","labl":"Unspecified code","stats":null,"type":null},{"value":"9999","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----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nFor those employed but temporary unpaid (MAS_D=130), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F2"},{"vid":"V130","name":"SECTOR","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"105","var_end_pos":"106","var_width":"2","var_rec_seg_no":"1","labl":"Sector of employment of the main job [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Employed individuals aged 6+","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) in the main 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----------------------\nQuasi-public sectors are considered as public. \nIn the case that there is no distinction between Government and Public, in the original survey, we use the classification as provided.\nCooperative includes employees in joint ventures.\nForeign includes workers in international NGOs.\nOthers includes workers in national NGOs and in private households.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nFor those employed but temporary unpaid (MAS_D=130), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F2"},{"vid":"V131","name":"SECTOR_D","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"107","var_end_pos":"109","var_width":"3","var_rec_seg_no":"1","labl":"Sector of employment of the main job [Detailed version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"100","max":"999"}],"var_universe":"Employed individuals aged 6+","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 distinguishes between different types of public and private sectors as well as other types of sectors (foreign, cooperative, etc.).","var_catgry":[{"value":"100","labl":"Government","stats":null,"type":null},{"value":"110","labl":"Government- National","stats":null,"type":null},{"value":"120","labl":"Government- Foreign","stats":null,"type":null},{"value":"130","labl":"Government- Federal","stats":null,"type":null},{"value":"140","labl":"Government- Local","stats":null,"type":null},{"value":"200","labl":"Public sector","stats":null,"type":null},{"value":"210","labl":"Economic institutions","stats":null,"type":null},{"value":"300","labl":"Private sector","stats":null,"type":null},{"value":"310","labl":"Private investment","stats":null,"type":null},{"value":"320","labl":"Private- National","stats":null,"type":null},{"value":"321","labl":"Private- National inside establishment","stats":null,"type":null},{"value":"322","labl":"Private- National outside establishment","stats":null,"type":null},{"value":"330","labl":"Private- Foreign","stats":null,"type":null},{"value":"331","labl":"Private- Foreign inside establishment","stats":null,"type":null},{"value":"332","labl":"Private- Foreign outside establishment","stats":null,"type":null},{"value":"340","labl":"Private- Inside establishment","stats":null,"type":null},{"value":"350","labl":"Private- Outside establishment","stats":null,"type":null},{"value":"360","labl":"Private- Families","stats":null,"type":null},{"value":"400","labl":"Joint\/Cooperative","stats":null,"type":null},{"value":"410","labl":"Joint","stats":null,"type":null},{"value":"420","labl":"Cooperative","stats":null,"type":null},{"value":"430","labl":"Joint local sector","stats":null,"type":null},{"value":"500","labl":"Foreign sector","stats":null,"type":null},{"value":"510","labl":"Diplomatic bodies","stats":null,"type":null},{"value":"600","labl":"Others","stats":null,"type":null},{"value":"610","labl":"Non-governmental organizations","stats":null,"type":null},{"value":"620","labl":"Non-profit associations","stats":null,"type":null},{"value":"630","labl":"Charitable associations","stats":null,"type":null},{"value":"640","labl":"Outside establishment","stats":null,"type":null},{"value":"650","labl":"Outside the country","stats":null,"type":null},{"value":"660","labl":"UNRWA","stats":null,"type":null},{"value":"999","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 classification of those working inside or outside an establishment in different sectors can be further studied using the variable \"ESTAB\".\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nFor those employed but temporary unpaid (MAS_D=130), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F2"},{"vid":"V132","name":"EMPSTAB","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"110","var_end_pos":"111","var_width":"2","var_rec_seg_no":"1","labl":"Employment stability in the main job","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Employed individuals aged 6+","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 employed individual is engaged in a regular or an irregular job.","var_catgry":[{"value":"1","labl":"Full time\/Regular","stats":null,"type":null},{"value":"2","labl":"Part time\/Temporary","stats":null,"type":null},{"value":"3","labl":"Seasonal\/Irregular","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----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nFor those employed but temporary unpaid (MAS_D=130), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F2"},{"vid":"V133","name":"EMPCONT","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"112","var_end_pos":"114","var_width":"3","var_rec_seg_no":"1","labl":"Employment contract in the main job","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"100","max":"999"}],"var_universe":"Employed individuals aged 6+","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 should indicate whether the individual has an explicit (written or oral) or an implicit employment contract.","var_catgry":[{"value":"100","labl":"Yes","stats":null,"type":null},{"value":"110","labl":"Officially hired","stats":null,"type":null},{"value":"120","labl":"Written contract for an unlimited duration","stats":null,"type":null},{"value":"130","labl":"Written contract for a limited duration","stats":null,"type":null},{"value":"140","labl":"Collective agreement","stats":null,"type":null},{"value":"150","labl":"Verbal agreement","stats":null,"type":null},{"value":"200","labl":"No contract","stats":null,"type":null},{"value":"999","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----------------------\n- Those reported to be officially hired are permanent workers at their main job. However, no official contract should be signed between them and their employers (e.g., governmental employees).\n- Employees with a written contract for a limited duration are those for whom the main job will terminate after a fixed period of time or upon completion of a certain project\/task.\n- Employees with verbal or oral contracts are those for whom the main job started on the basis of a spoken agreement. Oral contracts are difficult to prove and enforce.\n- The individuals for whom an employment contract would not be applicable given their employment status, should be coded 200 \"No contract.\"\n-This variable is important for measuring work stability, quality and decency.\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the work status (contr_type) is  reported only for Waged workers.  Thus, the generated variable for those cases are recoded \"not stated\".\n\nIn the case of Egypt LFS data, a written contract for an unlimited duration denotes a permanent contract, while that with a limited duration denotes a temporary contrac","fid":"F2"},{"vid":"V134","name":"HLTHINS","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"115","var_end_pos":"116","var_width":"2","var_rec_seg_no":"1","labl":"Has health insurance","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Employed individuals aged 6+","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 employed individual has health insurance.","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----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nFor those employed but temporary unpaid (MAS_D=130), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F2"},{"vid":"V135","name":"SOCSEC","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"117","var_end_pos":"118","var_width":"2","var_rec_seg_no":"1","labl":"Has social security coverage","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Employed individuals aged 6+","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 employed individual is covered by a social security\/insurance system.","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----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nFor those employed but temporary unpaid (MAS_D=130), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F2"},{"vid":"V136","name":"ESTAB","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"119","var_end_pos":"120","var_width":"2","var_rec_seg_no":"1","labl":"Working in an establishment at the main job","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Employed individuals aged 6+","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 is working in an establishment in his\/her main job.","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----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nFor those employed but temporary unpaid (MAS_D=130), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F2"},{"vid":"V137","name":"NUMWRK","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"121","var_end_pos":"123","var_width":"3","var_rec_seg_no":"1","labl":"Number of workers in establishment of the main job","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"100","max":"999"}],"var_universe":"Employed in establishment individuals aged 6+","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 the number of workers in the enterprise\/establishment in which the respondent is employed in his\/her main job.","var_catgry":[{"value":"100","labl":"1 thru 9","stats":null,"type":null},{"value":"110","labl":"1","stats":null,"type":null},{"value":"120","labl":"1 thru 4","stats":null,"type":null},{"value":"130","labl":"2 thru 4","stats":null,"type":null},{"value":"140","labl":"5 thru 9","stats":null,"type":null},{"value":"200","labl":"10 thru 49","stats":null,"type":null},{"value":"210","labl":"10 thru 19","stats":null,"type":null},{"value":"220","labl":"20+","stats":null,"type":null},{"value":"230","labl":"10 thru 24","stats":null,"type":null},{"value":"240","labl":"25 thru 49","stats":null,"type":null},{"value":"300","labl":"50 thru 99","stats":null,"type":null},{"value":"400","labl":"100+","stats":null,"type":null},{"value":"999","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----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nFor those employed but temporary unpaid (MAS_D=130), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F2"},{"vid":"V138","name":"HRSWK","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"124","var_end_pos":"125","var_width":"2","var_rec_seg_no":"1","labl":"Total weekly working hours in the main job","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Employed individuals aged 6+","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 reports the total number of hours the individual usually works during the week on his\/her main job.","var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe number of hours usually worked, as defined by the ILO, is the typical value (may be the modal value) of hours actually worked in the job during a certain reference period.\nThis variable can help in assessing time-related underemployment (visible underemployment).\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nFor those who are employed but temporary unpaid (MAS_D=130), the total weekly working hours in the main job is reported \"0\" since they did not effectively start working.","fid":"F2"},{"vid":"V139","name":"FHRSWK_R_01","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"126","var_end_pos":"126","var_width":"1","var_rec_seg_no":"1","labl":"Reason for few weekly working hours is official working hours < threshold","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"Employed individuals aged 6+ and working weekly less than 35 hours","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This set of variables should provide the reason(s) for which an individual reported weekly working hours below a country specific threshold.","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----------------------\nThe threshold used in such a variable may vary from one dataset to another. The variable's universe will denote the threshold used in each country.\n\nSome of the reasons reported are called \"involuntary reasons.\" They can be used with the criterion of usually working for hours below a certain threshold to define the \"visible underemployment.\"\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the reasons for which an individual reported weekly working hours below 35 hours (rsnlt35) is not reported for those who are temporary unpaid (MAS_D=130).  Thus, the generated variable for those cases are recoded \"zero\". In addition , there are 123 cases their working hours are less than 35 hour but they didn't mention any reason. So, the generated variable for those cases are recoded \"zero\".","fid":"F2"},{"vid":"V140","name":"FHRSWK_R_02","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"127","var_end_pos":"127","var_width":"1","var_rec_seg_no":"1","labl":"Reason for few weekly working hours is work conditions","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"Employed individuals aged 6+ and working weekly less than 35 hours","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This set of variables should provide the reason(s) for which an individual reported weekly working hours below a country specific threshold.","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----------------------\nThe threshold used in such a variable may vary from one dataset to another. The variable's universe will denote the threshold used in each country.\n\nSome of the reasons reported are called \"involuntary reasons.\" They can be used with the criterion of usually working for hours below a certain threshold to define the \"visible underemployment.\"\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the reasons for which an individual reported weekly working hours below 35 hours (rsnlt35) is not reported for those who are temporary unpaid (MAS_D=130).  Thus, the generated variable for those cases are recoded \"zero\". In addition , there are 123 cases their working hours are less than 35 hour but they didn't mention any reason. So, the generated variable for those cases are recoded \"zero\".","fid":"F2"},{"vid":"V141","name":"FHRSWK_R_04","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"128","var_end_pos":"128","var_width":"1","var_rec_seg_no":"1","labl":"Reason for few weekly working hours is unavailability of additional work","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"Employed individuals aged 6+ and working weekly less than 35 hours","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This set of variables should provide the reason(s) for which an individual reported weekly working hours below a country specific threshold.","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----------------------\nThe threshold used in such a variable may vary from one dataset to another. The variable's universe will denote the threshold used in each country.\n\nSome of the reasons reported are called \"involuntary reasons.\" They can be used with the criterion of usually working for hours below a certain threshold to define the \"visible underemployment.\"\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the reasons for which an individual reported weekly working hours below 35 hours (rsnlt35) is not reported for those who are temporary unpaid (MAS_D=130).  Thus, the generated variable for those cases are recoded \"zero\". In addition , there are 123 cases their working hours are less than 35 hour but they didn't mention any reason. So, the generated variable for those cases are recoded \"zero\".","fid":"F2"},{"vid":"V142","name":"FHRSWK_R_05","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"129","var_end_pos":"129","var_width":"1","var_rec_seg_no":"1","labl":"Reason for few weekly working hours is unsatisfactory wages","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"Employed individuals aged 6+ and working weekly less than 35 hours","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This set of variables should provide the reason(s) for which an individual reported weekly working hours below a country specific threshold.","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----------------------\nThe threshold used in such a variable may vary from one dataset to another. The variable's universe will denote the threshold used in each country.\n\nSome of the reasons reported are called \"involuntary reasons.\" They can be used with the criterion of usually working for hours below a certain threshold to define the \"visible underemployment.\"\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the reasons for which an individual reported weekly working hours below 35 hours (rsnlt35) is not reported for those who are temporary unpaid (MAS_D=130).  Thus, the generated variable for those cases are recoded \"zero\". In addition , there are 123 cases their working hours are less than 35 hour but they didn't mention any reason. So, the generated variable for those cases are recoded \"zero\".","fid":"F2"},{"vid":"V143","name":"FHRSWK_R_08","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"130","var_end_pos":"130","var_width":"1","var_rec_seg_no":"1","labl":"Reason for few weekly working hours is temporary absence from work","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"Employed individuals aged 6+ and working weekly less than 35 hours","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This set of variables should provide the reason(s) for which an individual reported weekly working hours below a country specific threshold.","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----------------------\nThe threshold used in such a variable may vary from one dataset to another. The variable's universe will denote the threshold used in each country.\n\nSome of the reasons reported are called \"involuntary reasons.\" They can be used with the criterion of usually working for hours below a certain threshold to define the \"visible underemployment.\"\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the reasons for which an individual reported weekly working hours below 35 hours (rsnlt35) is not reported for those who are temporary unpaid (MAS_D=130).  Thus, the generated variable for those cases are recoded \"zero\". In addition , there are 123 cases their working hours are less than 35 hour but they didn't mention any reason. So, the generated variable for those cases are recoded \"zero\".","fid":"F2"},{"vid":"V144","name":"FHRSWK_R_09","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"131","var_end_pos":"131","var_width":"1","var_rec_seg_no":"1","labl":"Reason for few weekly working hours is unwillingness to do extra work","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"Employed individuals aged 6+ and working weekly less than 35 hours","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This set of variables should provide the reason(s) for which an individual reported weekly working hours below a country specific threshold.","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----------------------\nThe threshold used in such a variable may vary from one dataset to another. The variable's universe will denote the threshold used in each country.\n\nSome of the reasons reported are called \"involuntary reasons.\" They can be used with the criterion of usually working for hours below a certain threshold to define the \"visible underemployment.\"\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the reasons for which an individual reported weekly working hours below 35 hours (rsnlt35) is not reported for those who are temporary unpaid (MAS_D=130).  Thus, the generated variable for those cases are recoded \"zero\". In addition , there are 123 cases their working hours are less than 35 hour but they didn't mention any reason. So, the generated variable for those cases are recoded \"zero\".","fid":"F2"},{"vid":"V145","name":"FHRSWK_R_90","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"132","var_end_pos":"132","var_width":"1","var_rec_seg_no":"1","labl":"Other reasons for few weekly working hours","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"Employed individuals aged 6+ and working weekly less than 35 hours","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This set of variables should provide the reason(s) for which an individual reported weekly working hours below a country specific threshold.","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----------------------\nThe threshold used in such a variable may vary from one dataset to another. The variable's universe will denote the threshold used in each country.\n\nSome of the reasons reported are called \"involuntary reasons.\" They can be used with the criterion of usually working for hours below a certain threshold to define the \"visible underemployment.\"\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the reasons for which an individual reported weekly working hours below 35 hours (rsnlt35) is not reported for those who are temporary unpaid (MAS_D=130).  Thus, the generated variable for those cases are recoded \"zero\". In addition , there are 123 cases their working hours are less than 35 hour but they didn't mention any reason. So, the generated variable for those cases are recoded \"zero\".","fid":"F2"},{"vid":"V146","name":"WNTCHJ","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"133","var_end_pos":"134","var_width":"2","var_rec_seg_no":"1","labl":"Want to change the main job\/get an additional job","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Employed individuals aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"The variable indicates whether the individual wants to change his\/her main job or wants to have an additional one.","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----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nFor those who are employed but temporary unpaid (MAS_D=130), the total weekly working hours in the main job is reported \"0\" since they did not effectively start working.","fid":"F2"},{"vid":"V147","name":"TOTWAG","file_id":"F2","var_dcml":"2","var_intrvl":"contin","var_start_pos":"135","var_end_pos":"142","var_width":"8","var_rec_seg_no":"1","labl":"Total monthly wage from the regular main job","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"2","max":"40000"}],"var_universe":"Waged workers aged 6+","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 the total monthly wage the employee receives from his\/her main job.","var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe value of the total wage reported in this variable should equal the value of the basic wage in addition to bonuses, benefits, allowances, profits, etc.\nTOTWAG=BASWAG+ADDWAG+ALLWNC+BONUS+INCENTV+PROFIT+OTHEARN\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe wages are provided either weekly, monthly or yearly in pounds.\nThe weekly wages were multiplied by 4 and the yearly wages were divided by 12 to generate a new variable indicating monthly wages","fid":"F2"},{"vid":"V148","name":"IRRGWAG","file_id":"F2","var_dcml":"2","var_intrvl":"contin","var_start_pos":"143","var_end_pos":"148","var_width":"6","var_rec_seg_no":"1","labl":"Total daily wages from seasonal\/irregular jobs","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"900"}],"var_universe":"Irregular waged workers aged 6+","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 should provide the value of earnings for employed individuals in seasonal or irregular jobs.","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 should typically cover the individuals reported to have irregular\/seasonal jobs in EMPSTAB (code 3).\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V149","name":"SECJOB","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"149","var_end_pos":"150","var_width":"2","var_rec_seg_no":"1","labl":"Has a secondary job during the reference period","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Employed individuals aged 6+","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 should identify those who have a secondary job.","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----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nFor those who are employed but temporary unpaid (MAS_D=130), all secondary job characteristics are reported missing.","fid":"F2"},{"vid":"V150","name":"HRSWKSC","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"151","var_end_pos":"152","var_width":"2","var_rec_seg_no":"1","labl":"Total weekly working hours in the secondary job","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"90"}],"var_universe":"Individuals aged 6+ having a secondary job","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 reports the total number of hours the individual usually works during the week on his\/her secondary job.","var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe number of hours usually worked, as defined by the ILO, is the typical value (may be the modal value) of hours actually worked in the job during a certain reference period.\nThis variable can help in assessing time-related underemployment (visible underemployment).\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V151","name":"PRVWRK","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"153","var_end_pos":"153","var_width":"1","var_rec_seg_no":"1","labl":"Previously worked during the reference period","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"3"}],"var_universe":"Individuals aged 6+","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 should identify those who have previously been employed for pay or for profit for a continuous period of time.","var_catgry":[{"value":"0","labl":"Never worked during the reference period","stats":null,"type":null},{"value":"1","labl":"Employed but previous job is not reported","stats":null,"type":null},{"value":"2","labl":"Employed & reported a previous job","stats":null,"type":null},{"value":"3","labl":"Not working & reported a last held job","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 information is collected for all individuals in the working-age population to identify those who have previously experienced any employment during the reference period.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V152","name":"OCCPRV","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"154","var_end_pos":"156","var_width":"3","var_rec_seg_no":"1","labl":"Occupation classification of the previous\/last held job [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"10","max":"999"}],"var_universe":"Ever-employed individuals aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Standardized occupation classification of the previous\/last held job.","var_catgry":[{"value":"10","labl":"Legislators, senior officials and managers","stats":null,"type":null},{"value":"20","labl":"Professionals","stats":null,"type":null},{"value":"30","labl":"Technicians and associate professionals","stats":null,"type":null},{"value":"40","labl":"Clerks","stats":null,"type":null},{"value":"50","labl":"Service workers and shop and market sales workers","stats":null,"type":null},{"value":"60","labl":"Skilled agricultural and fishery workers","stats":null,"type":null},{"value":"70","labl":"Craft and related trades workers","stats":null,"type":null},{"value":"80","labl":"Plant and machine operators, and assemblers","stats":null,"type":null},{"value":"90","labl":"Elementary occupations","stats":null,"type":null},{"value":"100","labl":"Armed forces","stats":null,"type":null},{"value":"998","labl":"Other\/unspecified","stats":null,"type":null},{"value":"999","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 to code the detailed data collected. In such cases, if the aggregated data is provided by the statistical office, no attempt to correct the original variable is done.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nAs stated in the methodology provided with the dataset from CAPMAS, the occupation variable's codes were recoded based on the occupational classification index issued in July 2005 which is consistent with the International Standard Classification of Occupations for 1988 (ISCO-88).","fid":"F2"},{"vid":"V153","name":"OCCPRV_ISCO88_4","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"157","var_end_pos":"160","var_width":"4","var_rec_seg_no":"1","labl":"Occupation classification of the previous\/last held job [ISCO 1988-4 digits]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"110","max":"9999"}],"var_universe":"Ever-employed individuals aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Occupation classification of the previous\/last held job, following the 4-digits International Standard Classification of Occupations for the year 1988 (ISCO-88).","var_catgry":[{"value":"110","labl":"Armed forces","stats":null,"type":null},{"value":"1110","labl":"Legislators","stats":null,"type":null},{"value":"1120","labl":"Senior government officials","stats":null,"type":null},{"value":"1130","labl":"Traditional chiefs and heads of villages","stats":null,"type":null},{"value":"1141","labl":"Senior officials of political-party organizations","stats":null,"type":null},{"value":"1142","labl":"Senior officials of employers', workers' and other economic-","stats":null,"type":null},{"value":"1143","labl":"Senior officials of humanitarian and other special-interest","stats":null,"type":null},{"value":"1210","labl":"Directors and chief executives","stats":null,"type":null},{"value":"1221","labl":"Production and operations department managers in agriculture","stats":null,"type":null},{"value":"1222","labl":"Production and operations department managers in manufacturi","stats":null,"type":null},{"value":"1223","labl":"Production and operations department managers in constructio","stats":null,"type":null},{"value":"1224","labl":"Production and operations department managers in wholesale a","stats":null,"type":null},{"value":"1225","labl":"Production and operations department managers in restaurants","stats":null,"type":null},{"value":"1226","labl":"Production and operations department managers in transport,","stats":null,"type":null},{"value":"1227","labl":"Production and operations department managers in business se","stats":null,"type":null},{"value":"1228","labl":"Production and operations department managers in personal ca","stats":null,"type":null},{"value":"1229","labl":"Production and operations department managers not elsewhere","stats":null,"type":null},{"value":"1231","labl":"Finance and administration department managers","stats":null,"type":null},{"value":"1232","labl":"Personnel and industrial relations department managers","stats":null,"type":null},{"value":"1233","labl":"Sales and marketing department managers","stats":null,"type":null},{"value":"1234","labl":"Advertising and public relations department managers","stats":null,"type":null},{"value":"1235","labl":"Supply and distribution department managers","stats":null,"type":null},{"value":"1236","labl":"Computing services department managers","stats":null,"type":null},{"value":"1237","labl":"Research and development department managers","stats":null,"type":null},{"value":"1239","labl":"Other department managers not elsewhere classified","stats":null,"type":null},{"value":"1311","labl":"General managers in agriculture, hunting, forestry\/ and fish","stats":null,"type":null},{"value":"1312","labl":"General managers in manufacturing","stats":null,"type":null},{"value":"1313","labl":"General managers in construction","stats":null,"type":null},{"value":"1314","labl":"General managers in wholesale and retail trade","stats":null,"type":null},{"value":"1315","labl":"General managers of restaurants and hotels","stats":null,"type":null},{"value":"1316","labl":"General managers in transport, storage and communications","stats":null,"type":null},{"value":"1317","labl":"General managers of business services","stats":null,"type":null},{"value":"1318","labl":"General managers in personal care, cleaning and related serv","stats":null,"type":null},{"value":"1319","labl":"General managers not elsewhere classified","stats":null,"type":null},{"value":"2111","labl":"Physicists and astronomers","stats":null,"type":null},{"value":"2112","labl":"Meteorologists","stats":null,"type":null},{"value":"2113","labl":"Chemists","stats":null,"type":null},{"value":"2114","labl":"Geologists and geophysicists","stats":null,"type":null},{"value":"2121","labl":"Mathematicians and related professionals","stats":null,"type":null},{"value":"2122","labl":"Statisticians","stats":null,"type":null},{"value":"2131","labl":"Computer systems designers and analysts","stats":null,"type":null},{"value":"2132","labl":"Computer programmers","stats":null,"type":null},{"value":"2139","labl":"Computing professionals not elsewhere classified","stats":null,"type":null},{"value":"2141","labl":"Architects, town and traffic planners","stats":null,"type":null},{"value":"2142","labl":"Civil engineers","stats":null,"type":null},{"value":"2143","labl":"Electrical engineers","stats":null,"type":null},{"value":"2144","labl":"Electronics and telecommunications engineers","stats":null,"type":null},{"value":"2145","labl":"Mechanical engineers","stats":null,"type":null},{"value":"2146","labl":"Chemical engineers","stats":null,"type":null},{"value":"2147","labl":"Mining engineers, metallurgists and related professionals","stats":null,"type":null},{"value":"2148","labl":"Cartographers and surveyors","stats":null,"type":null},{"value":"2149","labl":"Architects, engineers and related professionals not elsewher","stats":null,"type":null},{"value":"2211","labl":"Biologists, botanists, zoologists and related professionals","stats":null,"type":null},{"value":"2212","labl":"Pharmacologists, pathologists and related professionals","stats":null,"type":null},{"value":"2213","labl":"Agronomists and related professionals","stats":null,"type":null},{"value":"2221","labl":"Medical doctors","stats":null,"type":null},{"value":"2222","labl":"Dentists","stats":null,"type":null},{"value":"2223","labl":"Veterinarians","stats":null,"type":null},{"value":"2224","labl":"Pharmacists","stats":null,"type":null},{"value":"2229","labl":"Health professionals (except nursing) not elsewhere classifi","stats":null,"type":null},{"value":"2230","labl":"Nursing and midwifery professionals","stats":null,"type":null},{"value":"2310","labl":"College, university and higher education teaching profession","stats":null,"type":null},{"value":"2320","labl":"Secondary education teaching professionals","stats":null,"type":null},{"value":"2331","labl":"Primary education teaching professionals","stats":null,"type":null},{"value":"2332","labl":"Pre-primary education teaching professionals","stats":null,"type":null},{"value":"2340","labl":"Special education teaching professionals","stats":null,"type":null},{"value":"2351","labl":"Education methods specialists","stats":null,"type":null},{"value":"2352","labl":"School inspectors","stats":null,"type":null},{"value":"2359","labl":"Other teaching professionals not elsewhere classified","stats":null,"type":null},{"value":"2411","labl":"Accountants","stats":null,"type":null},{"value":"2412","labl":"Personnel and careers professionals","stats":null,"type":null},{"value":"2419","labl":"Business professionals not elsewhere classified","stats":null,"type":null},{"value":"2421","labl":"Lawyers","stats":null,"type":null},{"value":"2422","labl":"Judges","stats":null,"type":null},{"value":"2429","labl":"Legal professionals not elsewhere classified","stats":null,"type":null},{"value":"2431","labl":"Archivists and curators","stats":null,"type":null},{"value":"2432","labl":"Librarians and related information professionals","stats":null,"type":null},{"value":"2441","labl":"Economists","stats":null,"type":null},{"value":"2442","labl":"Sociologists, anthropologists and related professionals","stats":null,"type":null},{"value":"2443","labl":"Philosophers, historians and political scientists","stats":null,"type":null},{"value":"2444","labl":"Philologists, translators and interpreters","stats":null,"type":null},{"value":"2445","labl":"Psychologists","stats":null,"type":null},{"value":"2446","labl":"Social work professionals","stats":null,"type":null},{"value":"2451","labl":"Authors, journalists and other writers","stats":null,"type":null},{"value":"2452","labl":"Sculptors, painters and related artists","stats":null,"type":null},{"value":"2453","labl":"Composers, musicians and singers","stats":null,"type":null},{"value":"2454","labl":"Choreographers and dancers","stats":null,"type":null},{"value":"2455","labl":"Film, stage and related actors and directors","stats":null,"type":null},{"value":"2460","labl":"Religious professionals","stats":null,"type":null},{"value":"3111","labl":"Chemical and physical science technicians","stats":null,"type":null},{"value":"3112","labl":"Civil engineering technicians","stats":null,"type":null},{"value":"3113","labl":"Electrical engineering technicians","stats":null,"type":null},{"value":"3114","labl":"Electronics and telecommunications engineering technicians","stats":null,"type":null},{"value":"3115","labl":"Mechanical engineering technicians","stats":null,"type":null},{"value":"3116","labl":"Chemical engineering 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NOTES\n----------------------------------\nAs stated in the methodology provided with the dataset from CAPMAS, the occupation variable's codes were recoded based on the occupational classification index issued in July 2005 which is consistent with the International Standard Classification of Occupations for 1988 (ISCO-88).","fid":"F2"},{"vid":"V154","name":"INDPRV","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"161","var_end_pos":"163","var_width":"3","var_rec_seg_no":"1","labl":"Economic activity classification of the previous\/last held job [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"10","max":"999"}],"var_universe":"Ever-employed individuals aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Standardized economic activity classification of the previous\/last held 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defense","stats":null,"type":null},{"value":"130","labl":"Education","stats":null,"type":null},{"value":"140","labl":"Human health and social work activities","stats":null,"type":null},{"value":"150","labl":"Other activities","stats":null,"type":null},{"value":"998","labl":"Unspecified","stats":null,"type":null},{"value":"999","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 to code the detailed data collected. In such cases, if the aggregated data is provided by the statistical office, no attempt to correct the original variable is done.\nThe category \"Wholesale and retail trade\" includes the repair activities of motor vehicles and motorcycles.\nThe category \"Real estate, administrative, professional and support service activities\" includes: Real estate, renting and business activities; professional, scientific and technical activities; in addition to administrative and support service activities.\n\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nFor those who were employed at the time of the survey, no information was provided on the Economic activity of their previous work. Only the economic activity of the last held job for the unemployed was available. Thus, for the 29,577 cases reported as employed and reported a previous job, the economic activity of their previous job was recoded \"not stated\".\n\nAs stated in the methodology provided with the dataset from CAPMAS, the economic activity variable's codes were recoded based on the economic activity classification index issued in  2007 which is consistent with the International Standard Industrial Classification of All Economic Activities- Revision 4 (ISIC-4(","fid":"F2"},{"vid":"V155","name":"INDPRV_ISIC4_4","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"164","var_end_pos":"167","var_width":"4","var_rec_seg_no":"1","labl":"Economic activity classification of the previous\/last held job [ISIC Rev.4-4 digits]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"111","max":"9999"}],"var_universe":"Ever-employed individuals aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Economic activity classification of the previous\/last held job, following the 4-digits International Standard Industrial Classification of All Economic Activities, Revision 4 (ISIC Rev.4).","var_catgry":[{"value":"111","labl":"Growing of cereals (except rice), leguminous crops and oil s","stats":null,"type":null},{"value":"112","labl":"Growing of rice","stats":null,"type":null},{"value":"113","labl":"Growing of vegetables and melons, roots and tubers","stats":null,"type":null},{"value":"114","labl":"Growing of sugar cane","stats":null,"type":null},{"value":"115","labl":"Growing of tobacco","stats":null,"type":null},{"value":"116","labl":"Growing of fiber crops","stats":null,"type":null},{"value":"119","labl":"Growing of other non-perennial crops","stats":null,"type":null},{"value":"121","labl":"Growing of grapes","stats":null,"type":null},{"value":"122","labl":"Growing of tropical and subtropical fruits","stats":null,"type":null},{"value":"123","labl":"Growing of citrus fruits","stats":null,"type":null},{"value":"124","labl":"Growing of pome fruits and stone fruits","stats":null,"type":null},{"value":"125","labl":"Growing of other tree and bush fruits and nuts","stats":null,"type":null},{"value":"126","labl":"Growing of oleaginous fruits","stats":null,"type":null},{"value":"127","labl":"Growing of beverage crops","stats":null,"type":null},{"value":"128","labl":"Growing of spices, aromatic, drug and pharmaceutical crops","stats":null,"type":null},{"value":"129","labl":"Growing of other perennial crops","stats":null,"type":null},{"value":"130","labl":"Plant propagation","stats":null,"type":null},{"value":"141","labl":"Raising of cattle and buffaloes","stats":null,"type":null},{"value":"142","labl":"Raising of horses and other equines","stats":null,"type":null},{"value":"143","labl":"Raising of camels and camelids","stats":null,"type":null},{"value":"144","labl":"Raising of sheep and goats","stats":null,"type":null},{"value":"145","labl":"Raising of swine\/pigs","stats":null,"type":null},{"value":"146","labl":"Raising of poultry","stats":null,"type":null},{"value":"149","labl":"Raising of other animals","stats":null,"type":null},{"value":"150","labl":"Mixed farming","stats":null,"type":null},{"value":"161","labl":"Support activities for crop production","stats":null,"type":null},{"value":"162","labl":"Support activities for animal production","stats":null,"type":null},{"value":"163","labl":"Post-harvest crop activities","stats":null,"type":null},{"value":"164","labl":"Seed processing for propagation","stats":null,"type":null},{"value":"170","labl":"Hunting, trapping and related service activities","stats":null,"type":null},{"value":"210","labl":"Silviculture and other forestry activities","stats":null,"type":null},{"value":"220","labl":"Logging","stats":null,"type":null},{"value":"230","labl":"Gathering of non-wood forest products","stats":null,"type":null},{"value":"240","labl":"Support services to forestry","stats":null,"type":null},{"value":"311","labl":"Marine fishing","stats":null,"type":null},{"value":"312","labl":"Freshwater fishing","stats":null,"type":null},{"value":"321","labl":"Marine aquaculture","stats":null,"type":null},{"value":"322","labl":"Freshwater aquaculture","stats":null,"type":null},{"value":"510","labl":"Mining of hard coal","stats":null,"type":null},{"value":"520","labl":"Mining of lignite","stats":null,"type":null},{"value":"610","labl":"Extraction of crude petroleum","stats":null,"type":null},{"value":"620","labl":"Extraction of natural gas","stats":null,"type":null},{"value":"710","labl":"Mining of iron ores","stats":null,"type":null},{"value":"721","labl":"Mining of uranium and thorium ores","stats":null,"type":null},{"value":"729","labl":"Mining of other non-ferrous metal ores","stats":null,"type":null},{"value":"810","labl":"Quarrying of stone, sand and clay","stats":null,"type":null},{"value":"891","labl":"Mining of chemical and fertilizer minerals","stats":null,"type":null},{"value":"892","labl":"Extraction of peat","stats":null,"type":null},{"value":"893","labl":"Extraction of salt","stats":null,"type":null},{"value":"899","labl":"Other mining and quarrying n.e.c.","stats":null,"type":null},{"value":"910","labl":"Support activities for petroleum and natural gas extraction","stats":null,"type":null},{"value":"990","labl":"Support activities for other mining and quarrying","stats":null,"type":null},{"value":"1010","labl":"Processing and preserving of meat","stats":null,"type":null},{"value":"1020","labl":"Processing and preserving of fish, crustaceans and molluscs","stats":null,"type":null},{"value":"1030","labl":"Processing and preserving of fruit and vegetables","stats":null,"type":null},{"value":"1040","labl":"Manufacture of vegetable and animal oils and fats","stats":null,"type":null},{"value":"1050","labl":"Manufacture of dairy products","stats":null,"type":null},{"value":"1061","labl":"Manufacture of grain mill products","stats":null,"type":null},{"value":"1062","labl":"Manufacture of starches and starch products","stats":null,"type":null},{"value":"1071","labl":"Manufacture of bakery products","stats":null,"type":null},{"value":"1072","labl":"Manufacture of sugar","stats":null,"type":null},{"value":"1073","labl":"Manufacture of cocoa, chocolate and sugar confectionery","stats":null,"type":null},{"value":"1074","labl":"Manufacture of macaroni, noodles, couscous and similar farin","stats":null,"type":null},{"value":"1075","labl":"Manufacture of prepared meals and dishes","stats":null,"type":null},{"value":"1079","labl":"Manufacture of other food products n.e.c.","stats":null,"type":null},{"value":"1080","labl":"Manufacture of prepared animal feeds","stats":null,"type":null},{"value":"1101","labl":"Distilling, rectifying and blending of spirits","stats":null,"type":null},{"value":"1102","labl":"Manufacture of wines","stats":null,"type":null},{"value":"1103","labl":"Manufacture of malt liquors and malt","stats":null,"type":null},{"value":"1104","labl":"Manufacture of soft drinks; production of mineral waters and","stats":null,"type":null},{"value":"1200","labl":"Manufacture of tobacco products","stats":null,"type":null},{"value":"1311","labl":"Preparation and spinning of textile fibers","stats":null,"type":null},{"value":"1312","labl":"Weaving of textiles","stats":null,"type":null},{"value":"1313","labl":"Finishing of textiles","stats":null,"type":null},{"value":"1391","labl":"Manufacture of knitted and crocheted fabrics","stats":null,"type":null},{"value":"1392","labl":"Manufacture of made-up textile articles, except apparel","stats":null,"type":null},{"value":"1393","labl":"Manufacture of carpets and rugs","stats":null,"type":null},{"value":"1394","labl":"Manufacture of cordage, rope, twine and netting","stats":null,"type":null},{"value":"1399","labl":"Manufacture of other textiles n.e.c.","stats":null,"type":null},{"value":"1410","labl":"Manufacture of wearing apparel, except fur apparel","stats":null,"type":null},{"value":"1420","labl":"Manufacture of articles of fur","stats":null,"type":null},{"value":"1430","labl":"Manufacture of knitted and crocheted apparel","stats":null,"type":null},{"value":"1511","labl":"Tanning and dressing of leather; dressing and dyeing of fur","stats":null,"type":null},{"value":"1512","labl":"Manufacture of luggage, handbags and the like, saddlery and","stats":null,"type":null},{"value":"1520","labl":"Manufacture of footwear","stats":null,"type":null},{"value":"1610","labl":"Sawmilling and planning of wood","stats":null,"type":null},{"value":"1621","labl":"Manufacture of veneer sheets and wood-based panels","stats":null,"type":null},{"value":"1622","labl":"Manufacture of builders' carpentry and joinery","stats":null,"type":null},{"value":"1623","labl":"Manufacture of wooden containers","stats":null,"type":null},{"value":"1629","labl":"Manufacture of other products of wood; manufacture of articl","stats":null,"type":null},{"value":"1701","labl":"Manufacture of pulp, paper and paperboard","stats":null,"type":null},{"value":"1702","labl":"Manufacture of corrugated paper and paperboard and of contai","stats":null,"type":null},{"value":"1709","labl":"Manufacture of other articles of paper and paperboard","stats":null,"type":null},{"value":"1811","labl":"Printing","stats":null,"type":null},{"value":"1812","labl":"Service activities related to printing","stats":null,"type":null},{"value":"1820","labl":"Reproduction of recorded media","stats":null,"type":null},{"value":"1910","labl":"Manufacture of coke oven products","stats":null,"type":null},{"value":"1920","labl":"Manufacture of refined petroleum products","stats":null,"type":null},{"value":"2011","labl":"Manufacture of basic chemicals","stats":null,"type":null},{"value":"2012","labl":"Manufacture of fertilizers and nitrogen compounds","stats":null,"type":null},{"value":"2013","labl":"Manufacture of plastics and synthetic rubber in primary form","stats":null,"type":null},{"value":"2021","labl":"Manufacture of pesticides and other agrochemical products","stats":null,"type":null},{"value":"2022","labl":"Manufacture of paints, varnishes and similar coatings, print","stats":null,"type":null},{"value":"2023","labl":"Manufacture of soap and detergents, cleaning and polishing p","stats":null,"type":null},{"value":"2029","labl":"Manufacture of other chemical products n.e.c.","stats":null,"type":null},{"value":"2030","labl":"Manufacture of man-made fibers","stats":null,"type":null},{"value":"2100","labl":"Manufacture of pharmaceuticals, medicinal chemical and botan","stats":null,"type":null},{"value":"2211","labl":"Manufacture of rubber tyres and tubes; retreading and rebuil","stats":null,"type":null},{"value":"2219","labl":"Manufacture of other rubber products","stats":null,"type":null},{"value":"2220","labl":"Manufacture of plastics products","stats":null,"type":null},{"value":"2310","labl":"Manufacture of glass and glass products","stats":null,"type":null},{"value":"2391","labl":"Manufacture of refractory products","stats":null,"type":null},{"value":"2392","labl":"Manufacture of clay building materials","stats":null,"type":null},{"value":"2393","labl":"Manufacture of other porcelain and ceramic products","stats":null,"type":null},{"value":"2394","labl":"Manufacture of cement, lime and plaster","stats":null,"type":null},{"value":"2395","labl":"Manufacture of articles of concrete, cement and plaster","stats":null,"type":null},{"value":"2396","labl":"Cutting, shaping and finishing of stone","stats":null,"type":null},{"value":"2399","labl":"Manufacture of other non-metallic mineral products n.e.c.","stats":null,"type":null},{"value":"2410","labl":"Manufacture of basic iron and steel","stats":null,"type":null},{"value":"2420","labl":"Manufacture of basic precious and other non-ferrous metals","stats":null,"type":null},{"value":"2431","labl":"Casting of iron and steel","stats":null,"type":null},{"value":"2432","labl":"Casting of non-ferrous metals","stats":null,"type":null},{"value":"2511","labl":"Manufacture of structural metal products","stats":null,"type":null},{"value":"2512","labl":"Manufacture of tanks, reservoirs and containers of metal","stats":null,"type":null},{"value":"2513","labl":"Manufacture of steam generators, except central heating hot","stats":null,"type":null},{"value":"2520","labl":"Manufacture of weapons and ammunition","stats":null,"type":null},{"value":"2591","labl":"Forging, pressing, stamping and roll-forming of metal; powde","stats":null,"type":null},{"value":"2592","labl":"Treatment and coating of metals; machining","stats":null,"type":null},{"value":"2593","labl":"Manufacture of cutlery, hand tools and general hardware","stats":null,"type":null},{"value":"2599","labl":"Manufacture of other fabricated metal products n.e.c.","stats":null,"type":null},{"value":"2610","labl":"Manufacture of electronic components and boards","stats":null,"type":null},{"value":"2620","labl":"Manufacture of computers and peripheral equipment","stats":null,"type":null},{"value":"2630","labl":"Manufacture of communication equipment","stats":null,"type":null},{"value":"2640","labl":"Manufacture of consumer electronics","stats":null,"type":null},{"value":"2651","labl":"Manufacture of measuring, testing, navigating and control eq","stats":null,"type":null},{"value":"2652","labl":"Manufacture of watches and clocks","stats":null,"type":null},{"value":"2660","labl":"Manufacture of irradiation, electromedical and electrotherap","stats":null,"type":null},{"value":"2670","labl":"Manufacture of optical instruments and photographic equipmen","stats":null,"type":null},{"value":"2680","labl":"Manufacture of magnetic and optical media","stats":null,"type":null},{"value":"2710","labl":"Manufacture of electric motors, generators, transformers and","stats":null,"type":null},{"value":"2720","labl":"Manufacture of batteries and accumulators","stats":null,"type":null},{"value":"2731","labl":"Manufacture of fiber optic cables","stats":null,"type":null},{"value":"2732","labl":"Manufacture of other electronic and electric wires and cable","stats":null,"type":null},{"value":"2733","labl":"Manufacture of wiring devices","stats":null,"type":null},{"value":"2740","labl":"Manufacture of electric lighting equipment","stats":null,"type":null},{"value":"2750","labl":"Manufacture of domestic appliances","stats":null,"type":null},{"value":"2790","labl":"Manufacture of other electrical equipment","stats":null,"type":null},{"value":"2811","labl":"Manufacture of engines and turbines, except aircraft, vehicl","stats":null,"type":null},{"value":"2812","labl":"Manufacture of fluid power equipment","stats":null,"type":null},{"value":"2813","labl":"Manufacture of other pumps, compressors, taps and valves","stats":null,"type":null},{"value":"2814","labl":"Manufacture of bearings, gears, gearing and driving elements","stats":null,"type":null},{"value":"2815","labl":"Manufacture of ovens, furnaces and furnace burners","stats":null,"type":null},{"value":"2816","labl":"Manufacture of lifting and handling equipment","stats":null,"type":null},{"value":"2817","labl":"Manufacture of office machinery and equipment (except comput","stats":null,"type":null},{"value":"2818","labl":"Manufacture of power-driven hand tools","stats":null,"type":null},{"value":"2819","labl":"Manufacture of other general-purpose machinery","stats":null,"type":null},{"value":"2821","labl":"Manufacture of agricultural and forestry machinery","stats":null,"type":null},{"value":"2822","labl":"Manufacture of metal-forming machinery and machine tools","stats":null,"type":null},{"value":"2823","labl":"Manufacture of machinery for metallurgy","stats":null,"type":null},{"value":"2824","labl":"Manufacture of machinery for mining, quarrying and construct","stats":null,"type":null},{"value":"2825","labl":"Manufacture of machinery for food, beverage and tobacco proc","stats":null,"type":null},{"value":"2826","labl":"Manufacture of machinery for textile, apparel and leather pr","stats":null,"type":null},{"value":"2829","labl":"Manufacture of other special-purpose machinery","stats":null,"type":null},{"value":"2910","labl":"Manufacture of motor vehicles","stats":null,"type":null},{"value":"2920","labl":"Manufacture of bodies (coachwork) for motor vehicles; manufa","stats":null,"type":null},{"value":"2930","labl":"Manufacture of parts and accessories for motor vehicles","stats":null,"type":null},{"value":"3011","labl":"Building of ships and floating structures","stats":null,"type":null},{"value":"3012","labl":"Building of pleasure and sporting boats","stats":null,"type":null},{"value":"3020","labl":"Manufacture of railway locomotives and rolling stock","stats":null,"type":null},{"value":"3030","labl":"Manufacture of air and spacecraft and related machinery","stats":null,"type":null},{"value":"3040","labl":"Manufacture of military fighting vehicles","stats":null,"type":null},{"value":"3091","labl":"Manufacture of motorcycles","stats":null,"type":null},{"value":"3092","labl":"Manufacture of bicycles and invalid carriages","stats":null,"type":null},{"value":"3099","labl":"Manufacture of other transport equipment n.e.c.","stats":null,"type":null},{"value":"3100","labl":"Manufacture of furniture","stats":null,"type":null},{"value":"3211","labl":"Manufacture of jewellery and related 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transport","stats":null,"type":null},{"value":"4923","labl":"Freight transport by road","stats":null,"type":null},{"value":"4930","labl":"Transport via pipeline","stats":null,"type":null},{"value":"5011","labl":"Sea and coastal passenger water transport","stats":null,"type":null},{"value":"5012","labl":"Sea and coastal freight water transport","stats":null,"type":null},{"value":"5021","labl":"Inland passenger water transport","stats":null,"type":null},{"value":"5022","labl":"Inland freight water transport","stats":null,"type":null},{"value":"5110","labl":"Passenger air transport","stats":null,"type":null},{"value":"5120","labl":"Freight air transport","stats":null,"type":null},{"value":"5210","labl":"Warehousing and storage","stats":null,"type":null},{"value":"5221","labl":"Service activities incidental to land transportation","stats":null,"type":null},{"value":"5222","labl":"Service activities incidental to water transportation","stats":null,"type":null},{"value":"5223","labl":"Service activities incidental to air transportation","stats":null,"type":null},{"value":"5224","labl":"Cargo handling","stats":null,"type":null},{"value":"5229","labl":"Other transportation support activities","stats":null,"type":null},{"value":"5310","labl":"Postal activities","stats":null,"type":null},{"value":"5320","labl":"Courier activities","stats":null,"type":null},{"value":"5510","labl":"Short term accommodation activities","stats":null,"type":null},{"value":"5520","labl":"Camping grounds, recreational vehicle parks and trailer park","stats":null,"type":null},{"value":"5590","labl":"Other accommodation","stats":null,"type":null},{"value":"5610","labl":"Restaurants and mobile food service activities","stats":null,"type":null},{"value":"5621","labl":"Event catering","stats":null,"type":null},{"value":"5629","labl":"Other food service activities","stats":null,"type":null},{"value":"5630","labl":"Beverage serving activities","stats":null,"type":null},{"value":"5811","labl":"Book publishing","stats":null,"type":null},{"value":"5812","labl":"Publishing of directories and mailing lists","stats":null,"type":null},{"value":"5813","labl":"Publishing of newspapers, journals and periodicals","stats":null,"type":null},{"value":"5819","labl":"Other publishing activities","stats":null,"type":null},{"value":"5820","labl":"Software publishing","stats":null,"type":null},{"value":"5911","labl":"Motion picture, video and television program production acti","stats":null,"type":null},{"value":"5912","labl":"Motion picture, video and television program post-production","stats":null,"type":null},{"value":"5913","labl":"Motion picture, video and television program distribution ac","stats":null,"type":null},{"value":"5914","labl":"Motion picture projection activities","stats":null,"type":null},{"value":"5920","labl":"Sound recording and music publishing activities","stats":null,"type":null},{"value":"6010","labl":"Radio broadcasting","stats":null,"type":null},{"value":"6020","labl":"Television programming and broadcasting activities","stats":null,"type":null},{"value":"6110","labl":"Wired telecommunications activities","stats":null,"type":null},{"value":"6120","labl":"Wireless telecommunications activities","stats":null,"type":null},{"value":"6130","labl":"Satellite telecommunications activities","stats":null,"type":null},{"value":"6190","labl":"Other telecommunications activities","stats":null,"type":null},{"value":"6201","labl":"Computer programming activities","stats":null,"type":null},{"value":"6202","labl":"Computer consultancy and computer facilities management acti","stats":null,"type":null},{"value":"6209","labl":"Other information technology and computer service activities","stats":null,"type":null},{"value":"6311","labl":"Data processing, hosting and related activities","stats":null,"type":null},{"value":"6312","labl":"Web portals","stats":null,"type":null},{"value":"6391","labl":"News agency activities","stats":null,"type":null},{"value":"6399","labl":"Other information service activities n.e.c.","stats":null,"type":null},{"value":"6411","labl":"Central banking","stats":null,"type":null},{"value":"6419","labl":"Other monetary intermediation","stats":null,"type":null},{"value":"6420","labl":"Activities of holding companies","stats":null,"type":null},{"value":"6430","labl":"Trusts, funds and similar financial entities","stats":null,"type":null},{"value":"6491","labl":"Financial leasing","stats":null,"type":null},{"value":"6492","labl":"Other credit granting","stats":null,"type":null},{"value":"6499","labl":"Other financial service activities, except insurance and pen","stats":null,"type":null},{"value":"6511","labl":"Life insurance","stats":null,"type":null},{"value":"6512","labl":"Non-life insurance","stats":null,"type":null},{"value":"6520","labl":"Reinsurance","stats":null,"type":null},{"value":"6530","labl":"Pension funding","stats":null,"type":null},{"value":"6611","labl":"Administration of financial markets","stats":null,"type":null},{"value":"6612","labl":"Security and commodity contracts brokerage","stats":null,"type":null},{"value":"6619","labl":"Other activities auxiliary to financial service activities","stats":null,"type":null},{"value":"6621","labl":"Risk and damage evaluation","stats":null,"type":null},{"value":"6622","labl":"Activities of insurance agents and brokers","stats":null,"type":null},{"value":"6629","labl":"Other activities auxiliary to insurance and pension funding","stats":null,"type":null},{"value":"6630","labl":"Fund management activities","stats":null,"type":null},{"value":"6810","labl":"Real estate activities with own or leased property","stats":null,"type":null},{"value":"6820","labl":"Real estate activities on a fee or contract basis","stats":null,"type":null},{"value":"6910","labl":"Legal activities","stats":null,"type":null},{"value":"6920","labl":"Accounting, bookkeeping and auditing activities; tax consult","stats":null,"type":null},{"value":"7010","labl":"Activities of head offices","stats":null,"type":null},{"value":"7020","labl":"Management consultancy activities","stats":null,"type":null},{"value":"7110","labl":"Architectural and engineering activities and related technic","stats":null,"type":null},{"value":"7120","labl":"Technical testing and analysis","stats":null,"type":null},{"value":"7210","labl":"Research and experimental development on natural sciences an","stats":null,"type":null},{"value":"7220","labl":"Research and experimental development on social sciences and","stats":null,"type":null},{"value":"7310","labl":"Advertising","stats":null,"type":null},{"value":"7320","labl":"Market research and public opinion polling","stats":null,"type":null},{"value":"7410","labl":"Specialized design activities","stats":null,"type":null},{"value":"7420","labl":"Photographic activities","stats":null,"type":null},{"value":"7490","labl":"Other professional, scientific and technical activities n.e.","stats":null,"type":null},{"value":"7500","labl":"Veterinary activities","stats":null,"type":null},{"value":"7710","labl":"Renting and leasing of motor vehicles","stats":null,"type":null},{"value":"7721","labl":"Renting and leasing of recreational and sports goods","stats":null,"type":null},{"value":"7722","labl":"Renting of video tapes and disks","stats":null,"type":null},{"value":"7729","labl":"Renting and leasing of other personal and household goods","stats":null,"type":null},{"value":"7730","labl":"Renting and leasing of other machinery, equipment and tangib","stats":null,"type":null},{"value":"7740","labl":"Leasing of intellectual property and similar products, excep","stats":null,"type":null},{"value":"7810","labl":"Activities of employment placement agencies","stats":null,"type":null},{"value":"7820","labl":"Temporary employment agency activities","stats":null,"type":null},{"value":"7830","labl":"Other human resources provision","stats":null,"type":null},{"value":"7911","labl":"Travel agency activities","stats":null,"type":null},{"value":"7912","labl":"Tour operator activities","stats":null,"type":null},{"value":"7990","labl":"Other reservation service and related activities","stats":null,"type":null},{"value":"8010","labl":"Private security activities","stats":null,"type":null},{"value":"8020","labl":"Security systems service activities","stats":null,"type":null},{"value":"8030","labl":"Investigation activities","stats":null,"type":null},{"value":"8110","labl":"Combined facilities support activities","stats":null,"type":null},{"value":"8121","labl":"General cleaning of buildings","stats":null,"type":null},{"value":"8129","labl":"Other building and industrial cleaning activities","stats":null,"type":null},{"value":"8130","labl":"Landscape care and maintenance service activities","stats":null,"type":null},{"value":"8211","labl":"Combined office administrative service activities","stats":null,"type":null},{"value":"8219","labl":"Photocopying, document preparation and other specialized off","stats":null,"type":null},{"value":"8220","labl":"Activities of call centers","stats":null,"type":null},{"value":"8230","labl":"Organization of conventions and trade shows","stats":null,"type":null},{"value":"8291","labl":"Activities of collection agencies and credit bureaus","stats":null,"type":null},{"value":"8292","labl":"Packaging activities","stats":null,"type":null},{"value":"8299","labl":"Other business support service activities n.e.c.","stats":null,"type":null},{"value":"8411","labl":"General public administration activities","stats":null,"type":null},{"value":"8412","labl":"Regulation of the activities of providing health care\/educat","stats":null,"type":null},{"value":"8413","labl":"Regulation of and contribution to more efficient operation o","stats":null,"type":null},{"value":"8421","labl":"Foreign affairs","stats":null,"type":null},{"value":"8422","labl":"Defense activities","stats":null,"type":null},{"value":"8423","labl":"Public order and safety activities","stats":null,"type":null},{"value":"8430","labl":"Compulsory social security activities","stats":null,"type":null},{"value":"8510","labl":"Pre-primary and primary education","stats":null,"type":null},{"value":"8521","labl":"General secondary education","stats":null,"type":null},{"value":"8522","labl":"Technical and vocational secondary education","stats":null,"type":null},{"value":"8530","labl":"Higher education","stats":null,"type":null},{"value":"8541","labl":"Sports and recreation education","stats":null,"type":null},{"value":"8542","labl":"Cultural education","stats":null,"type":null},{"value":"8549","labl":"Other education n.e.c.","stats":null,"type":null},{"value":"8550","labl":"Educational support activities","stats":null,"type":null},{"value":"8610","labl":"Hospital activities","stats":null,"type":null},{"value":"8620","labl":"Medical and dental practice activities","stats":null,"type":null},{"value":"8690","labl":"Other human health activities","stats":null,"type":null},{"value":"8710","labl":"Residential nursing care facilities","stats":null,"type":null},{"value":"8720","labl":"Residential care activities for mental retardation, mental h","stats":null,"type":null},{"value":"8730","labl":"Residential care activities for the elderly and disabled","stats":null,"type":null},{"value":"8790","labl":"Other residential care activities","stats":null,"type":null},{"value":"8810","labl":"Social work activities without accommodation for the elderly","stats":null,"type":null},{"value":"8890","labl":"Other social work activities without accommodation","stats":null,"type":null},{"value":"9000","labl":"Creative, arts and entertainment activities","stats":null,"type":null},{"value":"9101","labl":"Library and archives activities","stats":null,"type":null},{"value":"9102","labl":"Museums activities and operation of historical sites and bui","stats":null,"type":null},{"value":"9103","labl":"Botanical and zoological gardens and nature reserves activit","stats":null,"type":null},{"value":"9200","labl":"Gambling and betting activities","stats":null,"type":null},{"value":"9311","labl":"Operation of sports facilities","stats":null,"type":null},{"value":"9312","labl":"Activities of sports clubs","stats":null,"type":null},{"value":"9319","labl":"Other sports activities","stats":null,"type":null},{"value":"9321","labl":"Activities of amusement parks and theme parks","stats":null,"type":null},{"value":"9329","labl":"Other amusement and recreation activities n.e.c.","stats":null,"type":null},{"value":"9411","labl":"Activities of business and employers membership organization","stats":null,"type":null},{"value":"9412","labl":"Activities of professional membership organizations","stats":null,"type":null},{"value":"9420","labl":"Activities of trade unions","stats":null,"type":null},{"value":"9491","labl":"Activities of religious organizations","stats":null,"type":null},{"value":"9492","labl":"Activities of political organizations","stats":null,"type":null},{"value":"9499","labl":"Activities of other membership organizations n.e.c.","stats":null,"type":null},{"value":"9511","labl":"Repair of computers and peripheral equipment","stats":null,"type":null},{"value":"9512","labl":"Repair of communication equipment","stats":null,"type":null},{"value":"9521","labl":"Repair of consumer electronics","stats":null,"type":null},{"value":"9522","labl":"Repair of household appliances and home and garden equipment","stats":null,"type":null},{"value":"9523","labl":"Repair of footwear and leather goods","stats":null,"type":null},{"value":"9524","labl":"Repair of furniture and home furnishings","stats":null,"type":null},{"value":"9529","labl":"Repair of other personal and household goods","stats":null,"type":null},{"value":"9601","labl":"Washing and (dry-) cleaning of textile and fur products","stats":null,"type":null},{"value":"9602","labl":"Hairdressing and other beauty treatment","stats":null,"type":null},{"value":"9603","labl":"Funeral and related activities","stats":null,"type":null},{"value":"9609","labl":"Other personal service activities n.e.c.","stats":null,"type":null},{"value":"9700","labl":"Activities of households as employers of domestic personnel","stats":null,"type":null},{"value":"9810","labl":"Undifferentiated goods-producing activities of private house","stats":null,"type":null},{"value":"9820","labl":"Undifferentiated service-producing activities of private hou","stats":null,"type":null},{"value":"9900","labl":"Activities of extraterritorial organizations and bodies","stats":null,"type":null},{"value":"9998","labl":"Unspecified code","stats":null,"type":null},{"value":"9999","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----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nFor those who were employed at the time of the survey, no information was provided on the Economic activity of their previous work. Only the economic activity of the last held job for the unemployed was available. Thus, for the 29,577 cases reported as employed and reported a previous job, the economic activity of their previous job was recoded \"not stated\".\n\nAs stated in the methodology provided with the dataset from CAPMAS, the economic activity variable's codes were recoded based on the economic activity classification index issued in  2007 which is consistent with the International Standard Industrial Classification of All Economic Activities- Revision 4 (ISIC-4(","fid":"F2"},{"vid":"V156","name":"UNEMPDUR","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"168","var_end_pos":"170","var_width":"3","var_rec_seg_no":"1","labl":"Unemployment duration in months","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"384"}],"var_universe":"Unemployed individuals aged 15+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"The variable reports the number of months during which the unemployed individual had stayed without work since graduation or since he\/she left the last held job.","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----------------------------------\n- The original variable indicating Unemployment duration in months (unemp_prd) is not reported for those who are unemployed (not seeking a job) (MAS_D=230). Thus, the generated variable for those cases is missing.\n- we need to exclude those who are arranging to take up paid\/self-employment activity (MAS_D= 131) and also who are waiting for the start date of an agreed work (MAS_D= 132) because we considered them employed but temporary unpaid","fid":"F2"},{"vid":"V157","name":"SRCHACT_01","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"171","var_end_pos":"171","var_width":"1","var_rec_seg_no":"1","labl":"Seeking a job by registering with government offices\/ministries","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"Unemployed INDs aged 15+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This set of dummy variables should indicate the activity(ies) undertaken by the unemployed in their search efforts to find a job during the reference period.","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----------------------\nSearching for a private project: includes searching for a land, premises, machinery, supplies, farming inputs, etc.\nOnline search: includes placing or updating the CV on professional or social networking sites.\nApplying directly to the employer: includes checking worksites, farms, factories or other assembly places\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V158","name":"SRCHACT_02","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"172","var_end_pos":"172","var_width":"1","var_rec_seg_no":"1","labl":"Seeking a job by registering with a public\/private employment service","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"Unemployed INDs aged 15+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This set of dummy variables should indicate the activity(ies) undertaken by the unemployed in their search efforts to find a job during the reference period.","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----------------------\nSearching for a private project: includes searching for a land, premises, machinery, supplies, farming inputs, etc.\nOnline search: includes placing or updating the CV on professional or social networking sites.\nApplying directly to the employer: includes checking worksites, farms, factories or other assembly places\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V159","name":"SRCHACT_03","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"173","var_end_pos":"173","var_width":"1","var_rec_seg_no":"1","labl":"Seeking a job by participating in employment competitions","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"Unemployed INDs aged 15+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This set of dummy variables should indicate the activity(ies) undertaken by the unemployed in their search efforts to find a job during the reference period.","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----------------------\nSearching for a private project: includes searching for a land, premises, machinery, supplies, farming inputs, etc.\nOnline search: includes placing or updating the CV on professional or social networking sites.\nApplying directly to the employer: includes checking worksites, farms, factories or other assembly places\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V160","name":"SRCHACT_04","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"174","var_end_pos":"174","var_width":"1","var_rec_seg_no":"1","labl":"Seeking a job by arranging for financial resources\/applying for permits\/licenses","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"Unemployed INDs aged 15+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This set of dummy variables should indicate the activity(ies) undertaken by the unemployed in their search efforts to find a job during the reference period.","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----------------------\nSearching for a private project: includes searching for a land, premises, machinery, supplies, farming inputs, etc.\nOnline search: includes placing or updating the CV on professional or social networking sites.\nApplying directly to the employer: includes checking worksites, farms, factories or other assembly places\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V161","name":"SRCHACT_05","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"175","var_end_pos":"175","var_width":"1","var_rec_seg_no":"1","labl":"Seeking a job by searching for a private project","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"Unemployed INDs aged 15+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This set of dummy variables should indicate the activity(ies) undertaken by the unemployed in their search efforts to find a job during the reference period.","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----------------------\nSearching for a private project: includes searching for a land, premises, machinery, supplies, farming inputs, etc.\nOnline search: includes placing or updating the CV on professional or social networking sites.\nApplying directly to the employer: includes checking worksites, farms, factories or other assembly places\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V162","name":"SRCHACT_06","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"176","var_end_pos":"176","var_width":"1","var_rec_seg_no":"1","labl":"Seeking a job by seeking the assistance of friends\/relatives\/other intermediaries","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"Unemployed INDs aged 15+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This set of dummy variables should indicate the activity(ies) undertaken by the unemployed in their search efforts to find a job during the reference period.","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----------------------\nSearching for a private project: includes searching for a land, premises, machinery, supplies, farming inputs, etc.\nOnline search: includes placing or updating the CV on professional or social networking sites.\nApplying directly to the employer: includes checking worksites, farms, factories or other assembly places\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V163","name":"SRCHACT_07","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"177","var_end_pos":"177","var_width":"1","var_rec_seg_no":"1","labl":"Seeking a job by applying directly to the employer","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"Unemployed INDs aged 15+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This set of dummy variables should indicate the activity(ies) undertaken by the unemployed in their search efforts to find a job during the reference period.","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----------------------\nSearching for a private project: includes searching for a land, premises, machinery, supplies, farming inputs, etc.\nOnline search: includes placing or updating the CV on professional or social networking sites.\nApplying directly to the employer: includes checking worksites, farms, factories or other assembly places\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V164","name":"SRCHACT_08","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"178","var_end_pos":"178","var_width":"1","var_rec_seg_no":"1","labl":"Seeking a job by reading\/watching\/responding to advertisements in newspapers\/TV","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"Unemployed INDs aged 15+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This set of dummy variables should indicate the activity(ies) undertaken by the unemployed in their search efforts to find a job during the reference period.","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----------------------\nSearching for a private project: includes searching for a land, premises, machinery, supplies, farming inputs, etc.\nOnline search: includes placing or updating the CV on professional or social networking sites.\nApplying directly to the employer: includes checking worksites, farms, factories or other assembly places\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V165","name":"SRCHACT_10","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"179","var_end_pos":"179","var_width":"1","var_rec_seg_no":"1","labl":"Seeking a job by waiting in a gathering place","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"Unemployed INDs aged 15+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This set of dummy variables should indicate the activity(ies) undertaken by the unemployed in their search efforts to find a job during the reference period.","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----------------------\nSearching for a private project: includes searching for a land, premises, machinery, supplies, farming inputs, etc.\nOnline search: includes placing or updating the CV on professional or social networking sites.\nApplying directly to the employer: includes checking worksites, farms, factories or other assembly places\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V166","name":"SRCHACT_90","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"180","var_end_pos":"180","var_width":"1","var_rec_seg_no":"1","labl":"Seeking a job through other activities not elsewhere classified","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"Unemployed INDs aged 15+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This set of dummy variables should indicate the activity(ies) undertaken by the unemployed in their search efforts to find a job during the reference period.","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----------------------\nSearching for a private project: includes searching for a land, premises, machinery, supplies, farming inputs, etc.\nOnline search: includes placing or updating the CV on professional or social networking sites.\nApplying directly to the employer: includes checking worksites, farms, factories or other assembly places\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V167","name":"NOTSRCH_R","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"181","var_end_pos":"182","var_width":"2","var_rec_seg_no":"1","labl":"Reason for not seeking a job during the reference period","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Inactive individuals aged 6+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"For the \"inactive\" in the working age population, this variable should identify the main reason for which the individual is not searching for a job.","var_catgry":[{"value":"1","labl":"Failed to find a suitable job","stats":null,"type":null},{"value":"2","labl":"Lack of experience\/qualifications","stats":null,"type":null},{"value":"3","labl":"Lack of jobs matching personal skills or occupation","stats":null,"type":null},{"value":"4","labl":"Lack of jobs with suitable wages","stats":null,"type":null},{"value":"5","labl":"Considered too young or too old by prospective employers","stats":null,"type":null},{"value":"6","labl":"Race\/sex\/religion discrimination","stats":null,"type":null},{"value":"7","labl":"Lack of infrastructure (assets roads\/transportations)","stats":null,"type":null},{"value":"8","labl":"Lack of employment services","stats":null,"type":null},{"value":"9","labl":"Lack of social relationships","stats":null,"type":null},{"value":"10","labl":"Refusal by family","stats":null,"type":null},{"value":"11","labl":"Do not know effective ways for job searching","stats":null,"type":null},{"value":"12","labl":"Believed that no suitable job exists","stats":null,"type":null},{"value":"13","labl":"No jobs are available","stats":null,"type":null},{"value":"14","labl":"Tired of looking for work","stats":null,"type":null},{"value":"15","labl":"Full time student","stats":null,"type":null},{"value":"16","labl":"Homemaker\/housewife","stats":null,"type":null},{"value":"17","labl":"Pensioners\/retired\/disabled","stats":null,"type":null},{"value":"18","labl":"Have income\/revenue\/means","stats":null,"type":null},{"value":"90","labl":"Others not elsewhere classified reasons","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 reasons are provided by the inactive individuals who are not working nor seeking a job because of discouragement or due to any of the known reasons of inactivity.\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"}],"variable_groups":[]}