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 DEPARTMENT OF STATISTICS OF THE HASHEMITE KINGDOM OF JORDAN<\/p> \n\nThe Department of Statistics (DOS) carried out four rounds of the 2012 Employment and Unemployment Survey (EUS) during 2012. The survey rounds covered a total sample of about fifty three thousand households Nation-wide (53.4 thousands). The sampled households were selected using a stratified cluster sampling design. \n\nIt is worthy to mention that the DOS employed new technology in the data collection and processing. Data was collected using the electronic questionnaire instead of a hard copy, namely a hand held device (PDA).\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":"2012","end":"2012","cycle":"-"}],"nation":[{"name":"Jordan","abbreviation":"JOR"}],"geog_coverage":"Covering a representative sample on the national level (Kingdom), governorates, and the three Regions (Central, North and South).","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":"Department of Statistics","abbreviation":"DOS","affiliation":"Ministry of Planning"}],"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 DEPARTMENT OF STATISTICS OF THE HASHEMITE KINGDOM OF JORDAN<\/p> \n\nSurvey Frame\n-----------------------\nThe sample of this survey is based on the frame provided by the data of the Population and Housing Census, 2004. \nThe Kingdom was divided into strata, where each city with a population of 100,000 persons or more was considered as a large city.\nThe total number of these cities is 6. Each governorate (except for the 6 large cities) was divided into rural and urban areas. The rest of the urban areas in each governorate were considered as an independent stratum. The same was applied to rural areas where they were considered as an independent stratum. The total number of strata was 30.\n\nAnd because of the existence of significant variation in the social and economic characteristics in large cities, in particular, and in urban areas in general, each stratum of the large cities and urban strata was divided into four sub-stratums according to the socio- economic characteristics provided by the population and housing census 2004 aiming at providing homogeneous strata.\n\nSample Design\n-----------------------\nThe sample of this survey was designed using a stratified cluster sampling method. The sample is considered representative on the Kingdom, rural, urban, regions and governorates levels, however, it does not represent the non-Jordanians.\n\nSampling notes\n-----------------------\nThe frame excludes the population living in remote areas (most of whom are nomads). In addition to that, the frame does not include collective dwellings, such as hotels, hospitals, work camps, prisons and alike.\nHowever, it is worth noting that the collective households identified in the harmonized data, through a variable indicating the household type, are those reported without heads in the raw data, and in which the relationship of all household members to head was reported \"other\". \n\nThis sample is also not representative for the non-Jordanian population.","coll_mode":"Face-to-face [f2f]","research_instrument":"The questionnaire was designed electronically on the PDA and revised by the DOS technical staff. It is divided into a number of main topics, each containing a clear and consistent group of questions, and designed in a way that facilitates the electronic data entry and verification. The questionnaire includes the characteristics of household members in addition to the identification information, which reflects the administrative as well as the statistical divisions of the Kingdom.","cleaning_operations":"Raw Data\n=======\nA tabulation results plan has been set based on the previous Employment and Unemployment Surveys while the required programs were prepared and tested. \nWhen all prior data processing steps were completed, the actual survey results were tabulated using an ORACLE package. The tabulations were then thoroughly checked for consistency of data. The final report was then prepared, containing detailed tabulations as well as the methodology of the survey.\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."},"analysis_info":{"response_rate":"The results of the fieldwork indicated that the number of successfully completed interviews was 48880 (with around 91% response rate)."}},"data_access":{"dataset_availability":{"access_place":"Economic Research Forum","access_place_uri":"http:\/\/erfdataportal.com\/index.php\/catalog\/101","original_archive":"Economic Research Forum\nhttp:\/\/erfdataportal.com\/index.php\/catalog\/101\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 Department of Statistics of The Hashemite Kingdom of Jordan as follows:\n\nOAMDI, 2016. Harmonized Labor Force Surveys (HLFS), http:\/\/erf.org.eg\/data-portal\/. Version 1.0 of Licensed Data Files; EUS 2012 - Department of Statistics (DOS), The Hashemite Kingdom of Jordan. Egypt: Economic Research Forum (ERF).","conditions":"Licensed datasets, accessible under conditions.","disclaimer":"The Economic Research Forum and the Department of Statistics in The Hashemite Kingdom of Jordan 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":"Jordan12-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":"101","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F2","file_name":"Jordan12-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":"49","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":"400","labl":"Jordan","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":"2012","max":"2012"}],"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},{"value":"2","labl":"Panel","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":"48880"}],"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":"Generated 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 serial is generated by ERF, using the variables quart q101, q108, q109, q110, and q113 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":"400011","max":"400034"}],"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":"400011","labl":"Amman","stats":null,"type":null},{"value":"400012","labl":"Al Balqa","stats":null,"type":null},{"value":"400013","labl":"Al Zarqa","stats":null,"type":null},{"value":"400014","labl":"Madaba","stats":null,"type":null},{"value":"400021","labl":"Irbid","stats":null,"type":null},{"value":"400022","labl":"Al Mafraq","stats":null,"type":null},{"value":"400023","labl":"Jerash","stats":null,"type":null},{"value":"400024","labl":"Ajlun","stats":null,"type":null},{"value":"400031","labl":"Al Karak","stats":null,"type":null},{"value":"400032","labl":"Al Tafela","stats":null,"type":null},{"value":"400033","labl":"Ma'an","stats":null,"type":null},{"value":"400034","labl":"Al Aqaba","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":"RURURB","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"21","var_end_pos":"21","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},{"value":"2","labl":"Refugee camps","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIn case the country has refugee camps (as in Palestine), the \"refugee camp\" category is coded \"2\".\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V8","name":"TPNUM","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"22","var_end_pos":"23","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":"20"}],"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":"V9","name":"MALNUM","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"24","var_end_pos":"25","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":"14"}],"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":"V10","name":"FEMNUM","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"26","var_end_pos":"27","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":"12"}],"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":"V11","name":"MALUNEMP_PW","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"28","var_end_pos":"28","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":"6"}],"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":"V12","name":"MALUNEMP_NW","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"29","var_end_pos":"29","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":"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 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":"V13","name":"FEMUNEMP_PW","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"30","var_end_pos":"30","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":"2"}],"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":"V14","name":"FEMUNEMP_NW","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"31","var_end_pos":"31","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":"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 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":"V15","name":"HUNEMP_PW","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"32","var_end_pos":"32","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":"6"}],"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":"V16","name":"HUNEMP_NW","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"33","var_end_pos":"33","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":"V17","name":"MALINLF","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"34","var_end_pos":"35","var_width":"2","var_rec_seg_no":"1","labl":"Number of 15+ males in the labor force","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"11"}],"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":"V18","name":"FEMINLF","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"36","var_end_pos":"36","var_width":"1","var_rec_seg_no":"1","labl":"Number of 15+ females 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+ 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":"V19","name":"HINLF","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"37","var_end_pos":"38","var_width":"2","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":"11"}],"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":"V20","name":"MALOUTLF","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"39","var_end_pos":"39","var_width":"1","var_rec_seg_no":"1","labl":"Number of 15+ males 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+ 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":"V21","name":"FEMOUTLF","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":"Number of 15+ females 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+ 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":"V22","name":"HOUTLF","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":"Number of 15+ household members out of labor force","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"11"}],"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":"V23","name":"AGEHD","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"43","var_end_pos":"44","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":"16","max":"97"}],"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----------------------------------\nIn few cases, large age differences were detected between the head's, the spouse's and the son's\/daughter's ages.","fid":"F1"},{"vid":"V24","name":"AGESP_1","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"45","var_end_pos":"46","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":"15","max":"97"}],"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\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nIn few cases, large age differences were detected between the head's, the spouse's and the son's\/daughter's ages.","fid":"F1"},{"vid":"V25","name":"AGESP_2","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"47","var_end_pos":"48","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":"16","max":"89"}],"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\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nIn few cases, large age differences were detected between the head's, the spouse's and the son's\/daughter's ages.","fid":"F1"},{"vid":"V26","name":"AGESP_3","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"49","var_end_pos":"50","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":"17","max":"39"}],"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\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nIn few cases, large age differences were detected between the head's, the spouse's and the son's\/daughter's ages.","fid":"F1"},{"vid":"V27","name":"SEXHD","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":"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":"V28","name":"SEXSP_1","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":"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----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V29","name":"SEXSP_2","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":"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----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V30","name":"SEXSP_3","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":"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----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V31","name":"MARTHD","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"55","var_end_pos":"56","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----------------------------------\nThe \"married polygamous\" category was generated for the head of the household only, if the number of spouses exceeds \"1\".","fid":"F1"},{"vid":"V32","name":"MARTHD_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"57","var_end_pos":"59","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----------------------------------\nThe \"married polygamous\" category was generated for the head of the household only, if the number of spouses exceeds \"1\".","fid":"F1"},{"vid":"V33","name":"NATHD","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"60","var_end_pos":"61","var_width":"2","var_rec_seg_no":"1","labl":"Ethnicity\/nationality of the head [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"All Heads","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Ethnicity or nationality of the head.","var_catgry":[{"value":"0","labl":"Non-citizen","stats":null,"type":null},{"value":"1","labl":"Citizen","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 content of this variable is not uniform. In many datasets where information on ethnicity or nationality is not available in the original survey, this variable may be indicated by country of birth, race, ancestry or mother tongue.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V34","name":"NATSP_1","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"62","var_end_pos":"63","var_width":"2","var_rec_seg_no":"1","labl":"Ethnicity\/nationality of the first spouse [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"All Spouses","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Ethnicity or nationality of the first spouse.","var_catgry":[{"value":"0","labl":"Non-citizen","stats":null,"type":null},{"value":"1","labl":"Citizen","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 content of this variable is not uniform. In many datasets where information on ethnicity or nationality is not available in the original survey, this variable may be indicated by country of birth, race, ancestry or mother tongue.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V35","name":"NATSP_2","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"64","var_end_pos":"65","var_width":"2","var_rec_seg_no":"1","labl":"Ethnicity\/nationality of the second spouse [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"All Spouses","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Ethnicity or nationality of the second spouse.","var_catgry":[{"value":"0","labl":"Non-citizen","stats":null,"type":null},{"value":"1","labl":"Citizen","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 content of this variable is not uniform. In many datasets where information on ethnicity or nationality is not available in the original survey, this variable may be indicated by country of birth, race, ancestry or mother tongue.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V36","name":"NATSP_3","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"66","var_end_pos":"67","var_width":"2","var_rec_seg_no":"1","labl":"Ethnicity\/nationality of the third spouse [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"All Spouses","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Ethnicity or nationality of the third spouse.","var_catgry":[{"value":"0","labl":"Non-citizen","stats":null,"type":null},{"value":"1","labl":"Citizen","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 content of this variable is not uniform. 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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----------------------------------","fid":"F1"},{"vid":"V44","name":"LITSP_3","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":"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 15+","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----------------------------------","fid":"F1"},{"vid":"V45","name":"EDUHD","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 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":"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 older education system consisted of 3 cycles; primary (grades one through six); preparatory (grades seven through nine); and secondary (grades ten through twelve).\nThe new education system consists of 2 cycles only; basic education (10 years); and secondary education (2 years).","fid":"F1"},{"vid":"V46","name":"EDUSP_1","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 first spouse [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Spouses aged 15+","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\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe older education system consisted of 3 cycles; primary (grades one through six); preparatory (grades seven through nine); and secondary (grades ten through twelve).\nThe new education system consists of 2 cycles only; basic education (10 years); and secondary education (2 years).","fid":"F1"},{"vid":"V47","name":"EDUSP_2","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"92","var_end_pos":"93","var_width":"2","var_rec_seg_no":"1","labl":"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 15+","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\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe older education system consisted of 3 cycles; primary (grades one through six); preparatory (grades seven through nine); and secondary (grades ten through twelve).\nThe new education system consists of 2 cycles only; basic education (10 years); and secondary education (2 years).","fid":"F1"},{"vid":"V48","name":"EDUSP_3","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"94","var_end_pos":"95","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 15+","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\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe older education system consisted of 3 cycles; primary (grades one through six); preparatory (grades seven through nine); and secondary (grades ten through twelve).\nThe new education system consists of 2 cycles only; basic education (10 years); and secondary education (2 years).","fid":"F1"},{"vid":"V49","name":"EDUHD_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"96","var_end_pos":"98","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 15+","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 older education system consisted of 3 cycles; primary (grades one through six); preparatory (grades seven through nine); and secondary (grades ten through twelve).\nThe new education system consists of 2 cycles only; basic education (10 years); and secondary education (2 years).","fid":"F1"},{"vid":"V50","name":"EDUSP_1_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"99","var_end_pos":"101","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 15+","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\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe older education system consisted of 3 cycles; primary (grades one through six); preparatory (grades seven through nine); and secondary (grades ten through twelve).\nThe new education system consists of 2 cycles only; basic education (10 years); and secondary education (2 years).","fid":"F1"},{"vid":"V51","name":"EDUSP_2_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"102","var_end_pos":"104","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 15+","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\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe older education system consisted of 3 cycles; primary (grades one through six); preparatory (grades seven through nine); and secondary (grades ten through twelve).\nThe new education system consists of 2 cycles only; basic education (10 years); and secondary education (2 years).","fid":"F1"},{"vid":"V52","name":"EDUSP_3_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"105","var_end_pos":"107","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 15+","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\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe older education system consisted of 3 cycles; primary (grades one through six); preparatory (grades seven through nine); and secondary (grades ten through twelve).\nThe new education system consists of 2 cycles only; basic education (10 years); and secondary education (2 years).","fid":"F1"},{"vid":"V53","name":"MASHD","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 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":"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----------------------------------\nFor the 15+ heads and spouses reported inactive (students, housewife, with means, etc.), if they are willing to work but not actively searching for a job, and if a reason for not searching is reported, they should be considered \"Other\" (code 6) in the standardized version, and \"Discouraged unemployment\" (code 620) in the detailed version.\nFor other inactive 15+ heads and spouses who are neither willing nor seeking a job, their initial inactivity status is identified in both MAS and MAS_D and reported as the main reason for not searching a job\/being inactive in NOTSRCH_R (codes 15 to 18).","fid":"F1"},{"vid":"V54","name":"MASSP_1","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 first spouse [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Spouses aged 15+","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----------------------------------\nFor the 15+ heads and spouses reported inactive (students, housewife, with means, etc.), if they are willing to work but not actively searching for a job, and if a reason for not searching is reported, they should be considered \"Other\" (code 6) in the standardized version, and \"Discouraged unemployment\" (code 620) in the detailed version.\nFor other inactive 15+ heads and spouses who are neither willing nor seeking a job, their initial inactivity status is identified in both MAS and MAS_D and reported as the main reason for not searching a job\/being inactive in NOTSRCH_R (codes 15 to 18).","fid":"F1"},{"vid":"V55","name":"MASSP_2","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"112","var_end_pos":"113","var_width":"2","var_rec_seg_no":"1","labl":"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 15+","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----------------------------------\nFor the 15+ heads and spouses reported inactive (students, housewife, with means, etc.), if they are willing to work but not actively searching for a job, and if a reason for not searching is reported, they should be considered \"Other\" (code 6) in the standardized version, and \"Discouraged unemployment\" (code 620) in the detailed version.\nFor other inactive 15+ heads and spouses who are neither willing nor seeking a job, their initial inactivity status is identified in both MAS and MAS_D and reported as the main reason for not searching a job\/being inactive in NOTSRCH_R (codes 15 to 18).","fid":"F1"},{"vid":"V56","name":"MASSP_3","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"114","var_end_pos":"115","var_width":"2","var_rec_seg_no":"1","labl":"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 15+","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----------------------------------\nFor the 15+ heads and spouses reported inactive (students, housewife, with means, etc.), if they are willing to work but not actively searching for a job, and if a reason for not searching is reported, they should be considered \"Other\" (code 6) in the standardized version, and \"Discouraged unemployment\" (code 620) in the detailed version.\nFor other inactive 15+ heads and spouses who are neither willing nor seeking a job, their initial inactivity status is identified in both MAS and MAS_D and reported as the main reason for not searching a job\/being inactive in NOTSRCH_R (codes 15 to 18).","fid":"F1"},{"vid":"V57","name":"MASHD_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"116","var_end_pos":"118","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 15+","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----------------------------------\nFor the 15+ heads and spouses reported inactive (students, housewife, with means, etc.), if they are willing to work but not actively searching for a job, and if a reason for not searching is reported, they should be considered \"Other\" (code 6) in the standardized version, and \"Discouraged unemployment\" (code 620) in the detailed version.\nFor other inactive 15+ heads and spouses who are neither willing nor seeking a job, their initial inactivity status is identified in both MAS and MAS_D and reported as the main reason for not searching a job\/being inactive in NOTSRCH_R (codes 15 to 18).","fid":"F1"},{"vid":"V58","name":"MASSP_1_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"119","var_end_pos":"121","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 15+","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\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nFor the 15+ heads and spouses reported inactive (students, housewife, with means, etc.), if they are willing to work but not actively searching for a job, and if a reason for not searching is reported, they should be considered \"Other\" (code 6) in the standardized version, and \"Discouraged unemployment\" (code 620) in the detailed version.\nFor other inactive 15+ heads and spouses who are neither willing nor seeking a job, their initial inactivity status is identified in both MAS and MAS_D and reported as the main reason for not searching a job\/being inactive in NOTSRCH_R (codes 15 to 18).","fid":"F1"},{"vid":"V59","name":"MASSP_2_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"122","var_end_pos":"124","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 15+","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\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nFor the 15+ heads and spouses reported inactive (students, housewife, with means, etc.), if they are willing to work but not actively searching for a job, and if a reason for not searching is reported, they should be considered \"Other\" (code 6) in the standardized version, and \"Discouraged unemployment\" (code 620) in the detailed version.\nFor other inactive 15+ heads and spouses who are neither willing nor seeking a job, their initial inactivity status is identified in both MAS and MAS_D and reported as the main reason for not searching a job\/being inactive in NOTSRCH_R (codes 15 to 18).","fid":"F1"},{"vid":"V60","name":"MASSP_3_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"125","var_end_pos":"127","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 15+","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\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nFor the 15+ heads and spouses reported inactive (students, housewife, with means, etc.), if they are willing to work but not actively searching for a job, and if a reason for not searching is reported, they should be considered \"Other\" (code 6) in the standardized version, and \"Discouraged unemployment\" (code 620) in the detailed version.\nFor other inactive 15+ heads and spouses who are neither willing nor seeking a job, their initial inactivity status is identified in both MAS and MAS_D and reported as the main reason for not searching a job\/being inactive in NOTSRCH_R (codes 15 to 18).","fid":"F1"},{"vid":"V61","name":"EMPSHD","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 head [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Employed Heads aged 15+","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 (Q223) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V62","name":"EMPSSP_1","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"130","var_end_pos":"131","var_width":"2","var_rec_seg_no":"1","labl":"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 15+","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 (Q223) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V63","name":"EMPSSP_2","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"132","var_end_pos":"133","var_width":"2","var_rec_seg_no":"1","labl":"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 15+","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 (Q223) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V64","name":"EMPSSP_3","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"134","var_end_pos":"135","var_width":"2","var_rec_seg_no":"1","labl":"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 15+","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 (Q223) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V65","name":"OCCHD","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"136","var_end_pos":"138","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 15+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Standardized occupation classification for 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 (Q222) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V66","name":"OCCSP_1","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"139","var_end_pos":"141","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 15+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Standardized occupation classification for 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\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the occupation (Q222) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V67","name":"OCCSP_2","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"142","var_end_pos":"144","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 15+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Standardized occupation classification for 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\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the occupation (Q222) is not reported for those who are waiting to resume previous work or found a job and waiting to start. 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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\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the economic activity (Q221) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V74","name":"INDSP_1","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"167","var_end_pos":"169","var_width":"3","var_rec_seg_no":"1","labl":"Economic activity 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 15+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Standardized economic activity classification of the main job of the first spouse.","var_catgry":[{"value":"10","labl":"Agriculture, forestry and fishing","stats":null,"type":null},{"value":"20","labl":"Mining and quarrying","stats":null,"type":null},{"value":"30","labl":"Manufacturing","stats":null,"type":null},{"value":"40","labl":"Electricity, gas and water supply","stats":null,"type":null},{"value":"50","labl":"Construction","stats":null,"type":null},{"value":"60","labl":"Wholesale and retail trade","stats":null,"type":null},{"value":"70","labl":"Transportation and storage","stats":null,"type":null},{"value":"80","labl":"Accommodation and food service activities","stats":null,"type":null},{"value":"90","labl":"Information and communication","stats":null,"type":null},{"value":"100","labl":"Financial and insurance activities","stats":null,"type":null},{"value":"110","labl":"Real estate, professional and support service activities","stats":null,"type":null},{"value":"120","labl":"Public administration and 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\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the economic activity (Q221) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V75","name":"INDSP_2","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"170","var_end_pos":"172","var_width":"3","var_rec_seg_no":"1","labl":"Economic activity 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 15+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Standardized economic activity classification of the main job of the second spouse.","var_catgry":[{"value":"10","labl":"Agriculture, forestry and fishing","stats":null,"type":null},{"value":"20","labl":"Mining and quarrying","stats":null,"type":null},{"value":"30","labl":"Manufacturing","stats":null,"type":null},{"value":"40","labl":"Electricity, gas and water supply","stats":null,"type":null},{"value":"50","labl":"Construction","stats":null,"type":null},{"value":"60","labl":"Wholesale and retail trade","stats":null,"type":null},{"value":"70","labl":"Transportation and storage","stats":null,"type":null},{"value":"80","labl":"Accommodation and food service activities","stats":null,"type":null},{"value":"90","labl":"Information and communication","stats":null,"type":null},{"value":"100","labl":"Financial and insurance activities","stats":null,"type":null},{"value":"110","labl":"Real estate, professional and support service activities","stats":null,"type":null},{"value":"120","labl":"Public administration and 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\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the economic activity (Q221) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V76","name":"INDSP_3","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"173","var_end_pos":"175","var_width":"3","var_rec_seg_no":"1","labl":"Economic activity 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 15+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Standardized economic activity classification of the main job of the third spouse.","var_catgry":[{"value":"10","labl":"Agriculture, forestry and fishing","stats":null,"type":null},{"value":"20","labl":"Mining and quarrying","stats":null,"type":null},{"value":"30","labl":"Manufacturing","stats":null,"type":null},{"value":"40","labl":"Electricity, gas and water supply","stats":null,"type":null},{"value":"50","labl":"Construction","stats":null,"type":null},{"value":"60","labl":"Wholesale and retail trade","stats":null,"type":null},{"value":"70","labl":"Transportation and storage","stats":null,"type":null},{"value":"80","labl":"Accommodation and food service activities","stats":null,"type":null},{"value":"90","labl":"Information and communication","stats":null,"type":null},{"value":"100","labl":"Financial and insurance activities","stats":null,"type":null},{"value":"110","labl":"Real estate, professional and support service activities","stats":null,"type":null},{"value":"120","labl":"Public administration and 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\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the economic activity (Q221) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V77","name":"INDHD_ISIC4_3","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"176","var_end_pos":"179","var_width":"4","var_rec_seg_no":"1","labl":"Economic activity classification for the main job of the head [ISIC Rev.4-3 digits]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"11","max":"9999"}],"var_universe":"Employed Heads aged 15+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Economic activity classification for the main job of the head, following the 3-digits International Standard Industrial Classification of All Economic Activities, Revision 4 (ISIC Rev.4).","var_catgry":[{"value":"11","labl":"Growing of non-perennial crops","stats":null,"type":null},{"value":"12","labl":"Growing of perennial crops","stats":null,"type":null},{"value":"13","labl":"Plant 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fats","stats":null,"type":null},{"value":"105","labl":"Manufacture of dairy products","stats":null,"type":null},{"value":"106","labl":"Manufacture of grain mill products, starches and starch prod","stats":null,"type":null},{"value":"107","labl":"Manufacture of other food products","stats":null,"type":null},{"value":"108","labl":"Manufacture of prepared animal feeds","stats":null,"type":null},{"value":"110","labl":"Manufacture of beverages","stats":null,"type":null},{"value":"120","labl":"Manufacture of tobacco products","stats":null,"type":null},{"value":"131","labl":"Spinning, weaving and finishing of textiles","stats":null,"type":null},{"value":"139","labl":"Manufacture of other textiles","stats":null,"type":null},{"value":"141","labl":"Manufacture of wearing apparel, except fur apparel","stats":null,"type":null},{"value":"142","labl":"Manufacture of articles of fur","stats":null,"type":null},{"value":"143","labl":"Manufacture of knitted and crocheted apparel","stats":null,"type":null},{"value":"151","labl":"Tanning and dressing of leather; manufacture of luggage, han","stats":null,"type":null},{"value":"152","labl":"Manufacture of footwear","stats":null,"type":null},{"value":"161","labl":"Sawmilling and planning of wood","stats":null,"type":null},{"value":"162","labl":"Manufacture of products of wood, cork, straw and plaiting ma","stats":null,"type":null},{"value":"170","labl":"Manufacture of paper and paper products","stats":null,"type":null},{"value":"181","labl":"Printing and service activities related to printing","stats":null,"type":null},{"value":"182","labl":"Reproduction of recorded media","stats":null,"type":null},{"value":"191","labl":"Manufacture of coke oven products","stats":null,"type":null},{"value":"192","labl":"Manufacture of refined petroleum products","stats":null,"type":null},{"value":"201","labl":"Manufacture of basic chemicals, fertilizers and nitrogen com","stats":null,"type":null},{"value":"202","labl":"Manufacture of other chemical products","stats":null,"type":null},{"value":"203","labl":"Manufacture of man-made fibers","stats":null,"type":null},{"value":"210","labl":"Manufacture of pharmaceuticals, medicinal chemical and botan","stats":null,"type":null},{"value":"221","labl":"Manufacture of rubber products","stats":null,"type":null},{"value":"222","labl":"Manufacture of plastics products","stats":null,"type":null},{"value":"231","labl":"Manufacture of glass and glass products","stats":null,"type":null},{"value":"239","labl":"Manufacture of non-metallic mineral products n.e.c.","stats":null,"type":null},{"value":"241","labl":"Manufacture of basic iron and steel","stats":null,"type":null},{"value":"242","labl":"Manufacture of basic precious and other non-ferrous metals","stats":null,"type":null},{"value":"243","labl":"Casting of metals","stats":null,"type":null},{"value":"251","labl":"Manufacture of structural metal products, tanks, reservoirs","stats":null,"type":null},{"value":"252","labl":"Manufacture of weapons and ammunition","stats":null,"type":null},{"value":"259","labl":"Manufacture of other fabricated metal products; metalworking","stats":null,"type":null},{"value":"261","labl":"Manufacture of electronic components and boards","stats":null,"type":null},{"value":"262","labl":"Manufacture of computers and peripheral equipment","stats":null,"type":null},{"value":"263","labl":"Manufacture of communication equipment","stats":null,"type":null},{"value":"264","labl":"Manufacture of consumer electronics","stats":null,"type":null},{"value":"265","labl":"Manufacture of measuring, testing, navigating and control eq","stats":null,"type":null},{"value":"266","labl":"Manufacture of irradiation, electromedical and electrotherap","stats":null,"type":null},{"value":"267","labl":"Manufacture of optical instruments and photographic equipmen","stats":null,"type":null},{"value":"268","labl":"Manufacture of magnetic and optical media","stats":null,"type":null},{"value":"271","labl":"Manufacture of electric motors, generators, transformers and","stats":null,"type":null},{"value":"272","labl":"Manufacture of batteries and accumulators","stats":null,"type":null},{"value":"273","labl":"Manufacture of wiring and wiring devices","stats":null,"type":null},{"value":"274","labl":"Manufacture of electric lighting equipment","stats":null,"type":null},{"value":"275","labl":"Manufacture of domestic appliances","stats":null,"type":null},{"value":"279","labl":"Manufacture of other electrical equipment","stats":null,"type":null},{"value":"281","labl":"Manufacture of general-purpose machinery","stats":null,"type":null},{"value":"282","labl":"Manufacture of special-purpose machinery","stats":null,"type":null},{"value":"291","labl":"Manufacture of motor vehicles","stats":null,"type":null},{"value":"292","labl":"Manufacture of bodies (coachwork) for motor vehicles; manufa","stats":null,"type":null},{"value":"293","labl":"Manufacture of parts and accessories for motor vehicles","stats":null,"type":null},{"value":"301","labl":"Building of ships and boats","stats":null,"type":null},{"value":"302","labl":"Manufacture of railway locomotives and rolling stock","stats":null,"type":null},{"value":"303","labl":"Manufacture of air and spacecraft and related machinery","stats":null,"type":null},{"value":"304","labl":"Manufacture of military fighting vehicles","stats":null,"type":null},{"value":"309","labl":"Manufacture of transport equipment n.e.c.","stats":null,"type":null},{"value":"310","labl":"Manufacture of furniture","stats":null,"type":null},{"value":"321","labl":"Manufacture of jewellery, bijouterie and related articles","stats":null,"type":null},{"value":"322","labl":"Manufacture of musical instruments","stats":null,"type":null},{"value":"323","labl":"Manufacture of sports goods","stats":null,"type":null},{"value":"324","labl":"Manufacture of games and toys","stats":null,"type":null},{"value":"325","labl":"Manufacture of medical and dental instruments and supplies","stats":null,"type":null},{"value":"329","labl":"Other manufacturing n.e.c.","stats":null,"type":null},{"value":"331","labl":"Repair of fabricated metal products, machinery and equipment","stats":null,"type":null},{"value":"332","labl":"Installation of industrial machinery and equipment","stats":null,"type":null},{"value":"351","labl":"Electric power generation, transmission and distribution","stats":null,"type":null},{"value":"352","labl":"Manufacture of gas; distribution of gaseous fuels through ma","stats":null,"type":null},{"value":"353","labl":"Steam and air conditioning supply","stats":null,"type":null},{"value":"360","labl":"Water collection, treatment and supply","stats":null,"type":null},{"value":"370","labl":"Sewerage","stats":null,"type":null},{"value":"381","labl":"Waste collection","stats":null,"type":null},{"value":"382","labl":"Waste treatment and disposal","stats":null,"type":null},{"value":"383","labl":"Materials recovery","stats":null,"type":null},{"value":"390","labl":"Remediation activities and other waste management services","stats":null,"type":null},{"value":"410","labl":"Construction of buildings","stats":null,"type":null},{"value":"421","labl":"Construction of roads and railways","stats":null,"type":null},{"value":"422","labl":"Construction of utility projects","stats":null,"type":null},{"value":"429","labl":"Construction of other civil engineering projects","stats":null,"type":null},{"value":"431","labl":"Demolition and site preparation","stats":null,"type":null},{"value":"432","labl":"Electrical, plumbing and other construction installation act","stats":null,"type":null},{"value":"433","labl":"Building completion and finishing","stats":null,"type":null},{"value":"439","labl":"Other specialized construction activities","stats":null,"type":null},{"value":"451","labl":"Sale of motor vehicles","stats":null,"type":null},{"value":"452","labl":"Maintenance and repair of motor vehicles","stats":null,"type":null},{"value":"453","labl":"Sale of motor vehicle parts and accessories","stats":null,"type":null},{"value":"454","labl":"Sale, maintenance and repair of motorcycles and related part","stats":null,"type":null},{"value":"461","labl":"Wholesale on a fee or contract basis","stats":null,"type":null},{"value":"462","labl":"Wholesale of agricultural raw materials and live animals","stats":null,"type":null},{"value":"463","labl":"Wholesale of food, beverages and tobacco","stats":null,"type":null},{"value":"464","labl":"Wholesale of household goods","stats":null,"type":null},{"value":"465","labl":"Wholesale of machinery, equipment and supplies","stats":null,"type":null},{"value":"466","labl":"Other specialized wholesale","stats":null,"type":null},{"value":"469","labl":"Non-specialized wholesale trade","stats":null,"type":null},{"value":"471","labl":"Retail sale in 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telecommunications activities","stats":null,"type":null},{"value":"613","labl":"Satellite telecommunications activities","stats":null,"type":null},{"value":"619","labl":"Other telecommunications activities","stats":null,"type":null},{"value":"620","labl":"Computer programming, consultancy and related activities","stats":null,"type":null},{"value":"631","labl":"Data processing, hosting and related activities; web portals","stats":null,"type":null},{"value":"639","labl":"Other information service activities","stats":null,"type":null},{"value":"641","labl":"Monetary intermediation","stats":null,"type":null},{"value":"642","labl":"Activities of holding companies","stats":null,"type":null},{"value":"643","labl":"Trusts, funds and similar financial entities","stats":null,"type":null},{"value":"649","labl":"Other financial service activities, except insurance and 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Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V83","name":"SECTORSP_2","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"196","var_end_pos":"197","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 15+","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 (Q219) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V84","name":"SECTORSP_3","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"198","var_end_pos":"199","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 15+","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 (Q219) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V85","name":"SECTORHD_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"200","var_end_pos":"202","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 15+","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----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the sector of employment (Q219) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V86","name":"SECTORSP_1_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"203","var_end_pos":"205","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 15+","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----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the sector of employment (Q219) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V87","name":"SECTORSP_2_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"206","var_end_pos":"208","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 15+","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----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the sector of employment (Q219) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V88","name":"SECTORSP_3_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"209","var_end_pos":"211","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 15+","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----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the sector of employment (Q219) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F1"},{"vid":"V89","name":"TOTWAGHD","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"212","var_end_pos":"217","var_width":"6","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":"50","max":"750"}],"var_universe":"Waged Workers Heads aged 15+","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 indicates the wage category only, thus, the generated variable is calculated as the midpoint of the ranges provided.\nThe original variable indicating the total number of working hours (Q224) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is reported missing.","fid":"F1"},{"vid":"V90","name":"TOTWAGSP_1","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"218","var_end_pos":"223","var_width":"6","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":"50","max":"750"}],"var_universe":"Waged Workers Spouses aged 15+","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\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicates the wage category only, thus, the generated variable is calculated as the midpoint of the ranges provided.\nThe original variable indicating the total number of working hours (Q224) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is reported missing.","fid":"F1"},{"vid":"V91","name":"TOTWAGSP_2","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"224","var_end_pos":"229","var_width":"6","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":"250","max":"400"}],"var_universe":"Waged Workers Spouses aged 15+","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\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicates the wage category only, thus, the generated variable is calculated as the midpoint of the ranges provided.\nThe original variable indicating the total number of working hours (Q224) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is reported missing.","fid":"F1"},{"vid":"V92","name":"TOTWAGSP_3","file_id":"F1","var_dcml":"2","var_intrvl":"discrete","var_start_pos":"230","var_end_pos":"233","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 15+","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\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicates the wage category only, thus, the generated variable is calculated as the midpoint of the ranges provided.\nThe original variable indicating the total number of working hours (Q224) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is reported missing.","fid":"F1"},{"vid":"V93","name":"EMPINCHD","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"234","var_end_pos":"239","var_width":"6","var_rec_seg_no":"1","labl":"Total monthly income of the head if reported employer","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"50","max":"750"}],"var_universe":"Heads reported employers aged 15+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Total monthly income of the head if reported employer","var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nWhen the original dataset has only income categories, the total income is calculated as the midpoint of the range provided.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicates the income category only, thus, the generated variable is calculated as the midpoint of the ranges provided.\nThe original variable indicating the total number of working hours (Q224) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded missing.","fid":"F1"},{"vid":"V94","name":"EMPINCSP_1","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"240","var_end_pos":"245","var_width":"6","var_rec_seg_no":"1","labl":"Total monthly income of the first spouse if reported employer","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"50","max":"750"}],"var_universe":"Spouses reported employers aged 15+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Total monthly income of the first spouse if reported employer","var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nWhen the original dataset has only income categories, the total income is calculated as the midpoint of the range provided.\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicates the income category only, thus, the generated variable is calculated as the midpoint of the ranges provided.\nThe original variable indicating the total number of working hours (Q224) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded missing.","fid":"F1"},{"vid":"V95","name":"EMPINCSP_2","file_id":"F1","var_dcml":"2","var_intrvl":"discrete","var_start_pos":"246","var_end_pos":"249","var_width":"4","var_rec_seg_no":"1","labl":"Total monthly income of the second spouse if reported employer","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"Spouses reported employers aged 15+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Total monthly income of the second spouse if reported employer","var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nWhen the original dataset has only income categories, the total income is calculated as the midpoint of the range provided.\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicates the income category only, thus, the generated variable is calculated as the midpoint of the ranges provided.\nThe original variable indicating the total number of working hours (Q224) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded missing.","fid":"F1"},{"vid":"V96","name":"EMPINCSP_3","file_id":"F1","var_dcml":"2","var_intrvl":"discrete","var_start_pos":"250","var_end_pos":"253","var_width":"4","var_rec_seg_no":"1","labl":"Total monthly income of the third spouse if reported employer","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"Spouses reported employers aged 15+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Total monthly income of the third spouse if reported employer","var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nWhen the original dataset has only income categories, the total income is calculated as the midpoint of the range provided.\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicates the income category only, thus, the generated variable is calculated as the midpoint of the ranges provided.\nThe original variable indicating the total number of working hours (Q224) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded missing.","fid":"F1"},{"vid":"V97","name":"SEMPINCHD","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"254","var_end_pos":"259","var_width":"6","var_rec_seg_no":"1","labl":"Total monthly income of the head if reported self-employed","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"50","max":"750"}],"var_universe":"Self-employed Heads aged 15+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Total monthly income of the head if reported self-employed","var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nWhen the original dataset has only income categories, the total income is calculated as the midpoint of the range provided.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicates the income category only, thus, the generated variable is calculated as the midpoint of the ranges provided.\nThe original variable indicating the total number of working hours (Q224) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is reported missing.","fid":"F1"},{"vid":"V98","name":"SEMPINCSP_1","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"260","var_end_pos":"265","var_width":"6","var_rec_seg_no":"1","labl":"Total monthly income of the first spouse if reported self-employed","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"50","max":"750"}],"var_universe":"Self-employed Spouses aged 15+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Total monthly income of the first spouse if reported self-employed","var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nWhen the original dataset has only income categories, the total income is calculated as the midpoint of the range provided.\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicates the income category only, thus, the generated variable is calculated as the midpoint of the ranges provided.\nThe original variable indicating the total number of working hours (Q224) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is reported missing.","fid":"F1"},{"vid":"V99","name":"SEMPINCSP_2","file_id":"F1","var_dcml":"2","var_intrvl":"discrete","var_start_pos":"266","var_end_pos":"271","var_width":"6","var_rec_seg_no":"1","labl":"Total monthly income of the second spouse if reported self-employed","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"250","max":"250"}],"var_universe":"Self-employed Spouses aged 15+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Total monthly income of the second spouse if reported self-employed","var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nWhen the original dataset has only income categories, the total income is calculated as the midpoint of the range provided.\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicates the income category only, thus, the generated variable is calculated as the midpoint of the ranges provided.\nThe original variable indicating the total number of working hours (Q224) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is reported missing.","fid":"F1"},{"vid":"V100","name":"SEMPINCSP_3","file_id":"F1","var_dcml":"2","var_intrvl":"discrete","var_start_pos":"272","var_end_pos":"275","var_width":"4","var_rec_seg_no":"1","labl":"Total monthly income of the third spouse if reported self-employed","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_universe":"Self-employed Spouses aged 15+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Total monthly income of the third spouse if reported self-employed","var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nWhen the original dataset has only income categories, the total income is calculated as the midpoint of the range provided.\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicates the income category only, thus, the generated variable is calculated as the midpoint of the ranges provided.\nThe original variable indicating the total number of working hours (Q224) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is reported missing.","fid":"F1"},{"vid":"V101","name":"HHTYPE","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"276","var_end_pos":"276","var_width":"1","var_rec_seg_no":"1","labl":"Household type","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Identifying collective and non-collective households.","var_catgry":[{"value":"0","labl":"Non-collective","stats":null,"type":null},{"value":"1","labl":"Collective","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nCollective households are mostly composed of a number of non-relatives (residents\/non-residents) who are of the same gender, living together, and employed and\/or students. No head is identified for collective households and the relationship to the head variable will be recoded as missing for all household members.\n\nNon-collective households are mostly residents who have the regular structure of a family (head, spouse, etc.).\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\n19 collective households were detected. No head is identified for such households. Thus, the relation of all members to the head in those households is recoded 8.","fid":"F1"},{"vid":"V102","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":"400","labl":"Jordan","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":"V103","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":"2012","max":"2012"}],"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":"V104","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":"V105","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},{"value":"2","labl":"Panel","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":"F2"},{"vid":"V106","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":"48880"}],"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":"Generated 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 serial is generated by ERF, using the variables quart, q101, q108, q109, q110, and q113 to uniquely identify each household.","fid":"F2"},{"vid":"V107","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":"20"}],"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":"V108","name":"PWEIGHT","file_id":"F2","var_dcml":"4","var_intrvl":"contin","var_start_pos":"17","var_end_pos":"23","var_width":"7","var_rec_seg_no":"1","labl":"Individual weight","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0.0768859841924667","max":"26.8911923803028"}],"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----------------------------------","fid":"F2"},{"vid":"V109","name":"REG","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"24","var_end_pos":"29","var_width":"6","var_rec_seg_no":"1","labl":"Region","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"400011","max":"400034"}],"var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Region of residence.","var_catgry":[{"value":"400011","labl":"Amman","stats":null,"type":null},{"value":"400012","labl":"Al Balqa","stats":null,"type":null},{"value":"400013","labl":"Al Zarqa","stats":null,"type":null},{"value":"400014","labl":"Madaba","stats":null,"type":null},{"value":"400021","labl":"Irbid","stats":null,"type":null},{"value":"400022","labl":"Al Mafraq","stats":null,"type":null},{"value":"400023","labl":"Jerash","stats":null,"type":null},{"value":"400024","labl":"Ajlun","stats":null,"type":null},{"value":"400031","labl":"Al Karak","stats":null,"type":null},{"value":"400032","labl":"Al Tafela","stats":null,"type":null},{"value":"400033","labl":"Ma'an","stats":null,"type":null},{"value":"400034","labl":"Al Aqaba","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":"F2"},{"vid":"V110","name":"RURURB","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"30","var_end_pos":"30","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":"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},{"value":"2","labl":"Refugee camps","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIn case the country has refugee camps (as in Palestine), the \"refugee camp\" category is coded \"2\".\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V111","name":"AGE","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"31","var_end_pos":"32","var_width":"2","var_rec_seg_no":"1","labl":"Age","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"97"}],"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----------------------------------\nIn few cases, large age differences were detected between the head's, the spouse's and the son's\/daughter's ages.","fid":"F2"},{"vid":"V112","name":"SEX","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"33","var_end_pos":"33","var_width":"1","var_rec_seg_no":"1","labl":"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":"V113","name":"MART","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"34","var_end_pos":"35","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":"V114","name":"MART_D","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"36","var_end_pos":"38","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":"V115","name":"REL","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"39","var_end_pos":"39","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":"V116","name":"REL_D","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"40","var_end_pos":"42","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. 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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----------------------------------","fid":"F2"},{"vid":"V121","name":"ATTSCH","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":"School attendance status","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","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":"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----------------------------------","fid":"F2"},{"vid":"V122","name":"EDUC","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"54","var_end_pos":"55","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 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 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\u201cNone\u201d 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 older education system consisted of 3 cycles; primary (grades one through six); preparatory (grades seven through nine); and secondary (grades ten through twelve).\nThe new education system consists of 2 cycles only; basic education (10 years); and secondary education (2 years).","fid":"F2"},{"vid":"V123","name":"EDUC_D","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"56","var_end_pos":"58","var_width":"3","var_rec_seg_no":"1","labl":"Educational level [Detailed version]","var_respunit":"Data 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safety","stats":null,"type":null},{"value":"86301","labl":"Military science","stats":null,"type":null},{"value":"86302","labl":"Defense studies","stats":null,"type":null},{"value":"86303","labl":"Other unspecified in security services","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----------------------------------\nNo certificate specialization was provided in the original data for the vocational secondary graduates (Q210=6).","fid":"F2"},{"vid":"V125","name":"YEDUC","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":"Number of effective years of schooling","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"25"}],"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":"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----------------------------------\nThe variable indicating the number of years of education successfully completed (Q209) is only provided for those who were enrolled at the time of the survey or ever enrolled (Q208=1 or 2).\nThe number of years of education was replaced by \"0\" for those who never attended school (Q208=3).","fid":"F2"},{"vid":"V126","name":"ENROL","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":"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 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 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----------------------------------\nGenerated by upgrading the education status (Q210) by 1 level for those who were enrolled at the time of the survey (Q208=1); i.e. if the highest educational level attained is elementary and the individual is still reported to be attending school, he\/she should normally be enrolled in the preparatory stage.","fid":"F2"},{"vid":"V127","name":"LFS","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"69","var_end_pos":"70","var_width":"2","var_rec_seg_no":"1","labl":"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 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 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":"V128","name":"MAS","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"71","var_end_pos":"72","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 15+","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----------------------\n Unlike LFS, the main distinction in MAS is between \u201cemployed\u201d and \u201cnot employed.\u201d\n- \u201cEmployed\u201d: 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- \u201cNot Employed\u201d: The rationale is that the individuals do not generally spend their time \u201cbeing unemployed,\u201d 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 \u201cNot Employed.\u201d\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----------------------------------\nFor the 15+ individuals reported inactive (students, housewife, with means, etc.), if they are willing to work but not actively searching for a job, and if a reason for not searching is reported, they should be considered \"Other\" (code 6) in the standardized version, and \"Discouraged unemployment\" (code 620) in the detailed version.\nFor other inactive 15+ individuals who are neither willing nor seeking a job, their initial inactivity status is identified in both MAS and MAS_D and reported as the main reason for not searching a job\/being inactive in NOTSRCH_R (codes 15-18)","fid":"F2"},{"vid":"V129","name":"MAS_D","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"73","var_end_pos":"75","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 15+","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----------------------------------\nFor the 15+ individuals reported inactive (students, housewife, with means, etc.), if they are willing to work but not actively searching for a job, and if a reason for not searching is reported, they should be considered \"Other\" (code 6) in the standardized version, and \"Discouraged unemployment\" (code 620) in the detailed version.\nFor other inactive 15+ individuals who are neither willing nor seeking a job, their initial inactivity status is identified in both MAS and MAS_D and reported as the main reason for not searching a job\/being inactive in NOTSRCH_R (codes 15-18).","fid":"F2"},{"vid":"V130","name":"EMPS","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"76","var_end_pos":"77","var_width":"2","var_rec_seg_no":"1","labl":"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 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 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----------------------------------\nThe original variable indicating the work status (Q223) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F2"},{"vid":"V131","name":"OCC","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"78","var_end_pos":"80","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 15+","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 for 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----------------------------------\nThe original variable indicating the occupation (Q222) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F2"},{"vid":"V132","name":"OCC_ISCO08_3","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"81","var_end_pos":"84","var_width":"4","var_rec_seg_no":"1","labl":"Occupation classification of the main job [ISCO 2008-3 digits]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"11","max":"9999"}],"var_universe":"Employed 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":"Occupation classification for the main job, following the 3-digits International Standard Classification of Occupations for the year 2008 (ISCO-08).","var_catgry":[{"value":"11","labl":"Commissioned armed forces officers","stats":null,"type":null},{"value":"21","labl":"Non-commissioned armed forces officers","stats":null,"type":null},{"value":"31","labl":"Armed forces occupations, other ranks","stats":null,"type":null},{"value":"111","labl":"Legislators and senior officials","stats":null,"type":null},{"value":"112","labl":"Managing directors and chief executives","stats":null,"type":null},{"value":"121","labl":"Business services and administration managers","stats":null,"type":null},{"value":"122","labl":"Sales, marketing and development managers","stats":null,"type":null},{"value":"131","labl":"Production managers in agriculture, forestry and fisheries","stats":null,"type":null},{"value":"132","labl":"Manufacturing, mining, construction, and distribution manage","stats":null,"type":null},{"value":"133","labl":"Information and communications technology service managers","stats":null,"type":null},{"value":"134","labl":"Professional services managers","stats":null,"type":null},{"value":"141","labl":"Hotel and restaurant managers","stats":null,"type":null},{"value":"142","labl":"Retail and wholesale trade managers","stats":null,"type":null},{"value":"143","labl":"Other services managers","stats":null,"type":null},{"value":"211","labl":"Physical and earth science professionals","stats":null,"type":null},{"value":"212","labl":"Mathematicians, actuaries and statisticians","stats":null,"type":null},{"value":"213","labl":"Life science professionals","stats":null,"type":null},{"value":"214","labl":"Engineering professionals (excluding electrotechnology)","stats":null,"type":null},{"value":"215","labl":"Electrotechnology engineers","stats":null,"type":null},{"value":"216","labl":"Architects, planners, surveyors and designers","stats":null,"type":null},{"value":"221","labl":"Medical doctors","stats":null,"type":null},{"value":"222","labl":"Nursing and midwifery professionals","stats":null,"type":null},{"value":"223","labl":"Traditional and complementary medicine professionals","stats":null,"type":null},{"value":"224","labl":"Paramedical practitioners","stats":null,"type":null},{"value":"225","labl":"Veterinarians","stats":null,"type":null},{"value":"226","labl":"Other health professionals","stats":null,"type":null},{"value":"231","labl":"University and higher education teachers","stats":null,"type":null},{"value":"232","labl":"Vocational education teachers","stats":null,"type":null},{"value":"233","labl":"Secondary education teachers","stats":null,"type":null},{"value":"234","labl":"Primary school and early childhood teachers","stats":null,"type":null},{"value":"235","labl":"Other teaching professionals","stats":null,"type":null},{"value":"241","labl":"Finance professionals","stats":null,"type":null},{"value":"242","labl":"Administration professionals","stats":null,"type":null},{"value":"243","labl":"Sales, marketing and public relations professionals","stats":null,"type":null},{"value":"251","labl":"Software and applications developers and analysts","stats":null,"type":null},{"value":"252","labl":"Database and network professionals","stats":null,"type":null},{"value":"261","labl":"Legal professionals","stats":null,"type":null},{"value":"262","labl":"Librarians, archivists and curators","stats":null,"type":null},{"value":"263","labl":"Social and religious professionals","stats":null,"type":null},{"value":"264","labl":"Authors, journalists and linguists","stats":null,"type":null},{"value":"265","labl":"Creative and performing artists","stats":null,"type":null},{"value":"311","labl":"Physical and engineering science technicians","stats":null,"type":null},{"value":"312","labl":"Mining, manufacturing and construction supervisors","stats":null,"type":null},{"value":"313","labl":"Process control technicians","stats":null,"type":null},{"value":"314","labl":"Life science technicians and related associate professionals","stats":null,"type":null},{"value":"315","labl":"Ship and aircraft controllers and technicians","stats":null,"type":null},{"value":"321","labl":"Medical and pharmaceutical technicians","stats":null,"type":null},{"value":"322","labl":"Nursing and midwifery associate professionals","stats":null,"type":null},{"value":"323","labl":"Traditional and complementary medicine associate professiona","stats":null,"type":null},{"value":"324","labl":"Veterinary technicians and assistants","stats":null,"type":null},{"value":"325","labl":"Other health associate professionals","stats":null,"type":null},{"value":"331","labl":"Financial and mathematical associate professionals","stats":null,"type":null},{"value":"332","labl":"Sales and purchasing agents and brokers","stats":null,"type":null},{"value":"333","labl":"Business services agents","stats":null,"type":null},{"value":"334","labl":"Administrative and specialized secretaries","stats":null,"type":null},{"value":"335","labl":"Regulatory government associate professionals","stats":null,"type":null},{"value":"341","labl":"Legal, social and religious associate professionals","stats":null,"type":null},{"value":"342","labl":"Sports and fitness workers","stats":null,"type":null},{"value":"343","labl":"Artistic, cultural and culinary associate professionals","stats":null,"type":null},{"value":"351","labl":"Information and communications technology operations and use","stats":null,"type":null},{"value":"352","labl":"Telecommunications and broadcasting technicians","stats":null,"type":null},{"value":"411","labl":"General office clerks","stats":null,"type":null},{"value":"412","labl":"Secretaries (general)","stats":null,"type":null},{"value":"413","labl":"Keyboard operators","stats":null,"type":null},{"value":"421","labl":"Tellers, money collectors and related clerks","stats":null,"type":null},{"value":"422","labl":"Client information workers","stats":null,"type":null},{"value":"431","labl":"Numerical clerks","stats":null,"type":null},{"value":"432","labl":"Material-recording and transport clerks","stats":null,"type":null},{"value":"441","labl":"Other clerical support workers","stats":null,"type":null},{"value":"511","labl":"Travel attendants, conductors and guides","stats":null,"type":null},{"value":"512","labl":"Cooks","stats":null,"type":null},{"value":"513","labl":"Waiters and bartenders","stats":null,"type":null},{"value":"514","labl":"Hairdressers, beauticians and related workers","stats":null,"type":null},{"value":"515","labl":"Building and housekeeping supervisors","stats":null,"type":null},{"value":"516","labl":"Other personal services workers","stats":null,"type":null},{"value":"521","labl":"Street and market salespersons","stats":null,"type":null},{"value":"522","labl":"Shop salespersons","stats":null,"type":null},{"value":"523","labl":"Cashiers and ticket clerks","stats":null,"type":null},{"value":"524","labl":"Other sales workers","stats":null,"type":null},{"value":"531","labl":"Child care workers and teachers' aides","stats":null,"type":null},{"value":"532","labl":"Personal care workers in health services","stats":null,"type":null},{"value":"541","labl":"Protective services workers","stats":null,"type":null},{"value":"611","labl":"Market gardeners and crop growers","stats":null,"type":null},{"value":"612","labl":"Animal producers","stats":null,"type":null},{"value":"613","labl":"Mixed crop and animal producers","stats":null,"type":null},{"value":"621","labl":"Forestry and related workers","stats":null,"type":null},{"value":"622","labl":"Fishery workers, hunters and trappers","stats":null,"type":null},{"value":"631","labl":"Subsistence crop farmers","stats":null,"type":null},{"value":"632","labl":"Subsistence livestock farmers","stats":null,"type":null},{"value":"633","labl":"Subsistence mixed crop and livestock farmers","stats":null,"type":null},{"value":"634","labl":"Subsistence fishers, hunters, trappers and gatherers","stats":null,"type":null},{"value":"711","labl":"Building frame and related trades workers","stats":null,"type":null},{"value":"712","labl":"Building finishers and related trades workers","stats":null,"type":null},{"value":"713","labl":"Painters, building structure cleaners and related trades wor","stats":null,"type":null},{"value":"721","labl":"Sheet and structural metal workers, molders and welders, and","stats":null,"type":null},{"value":"722","labl":"Blacksmiths, toolmakers and related trades workers","stats":null,"type":null},{"value":"723","labl":"Machinery mechanics and repairers","stats":null,"type":null},{"value":"731","labl":"Handicraft workers","stats":null,"type":null},{"value":"732","labl":"Printing trades workers","stats":null,"type":null},{"value":"741","labl":"Electrical equipment installers and repairers","stats":null,"type":null},{"value":"742","labl":"Electronics and telecommunications installers and repairers","stats":null,"type":null},{"value":"751","labl":"Food processing and related trades workers","stats":null,"type":null},{"value":"752","labl":"Wood treaters, cabinet-makers and related trades workers","stats":null,"type":null},{"value":"753","labl":"Garment and related trades workers","stats":null,"type":null},{"value":"754","labl":"Other craft and related workers","stats":null,"type":null},{"value":"811","labl":"Mining and mineral processing plant operators","stats":null,"type":null},{"value":"812","labl":"Metal processing and finishing plant operators","stats":null,"type":null},{"value":"813","labl":"Chemical and photographic products plant and machine operato","stats":null,"type":null},{"value":"814","labl":"Rubber, plastic and paper products machine operators","stats":null,"type":null},{"value":"815","labl":"Textile, fur and leather products machine operators","stats":null,"type":null},{"value":"816","labl":"Food and related products machine operators","stats":null,"type":null},{"value":"817","labl":"Wood processing and papermaking plant operators","stats":null,"type":null},{"value":"818","labl":"Other stationary plant and machine operators","stats":null,"type":null},{"value":"821","labl":"Assemblers","stats":null,"type":null},{"value":"831","labl":"Locomotive engine drivers and related workers","stats":null,"type":null},{"value":"832","labl":"Car, van and motorcycle drivers","stats":null,"type":null},{"value":"833","labl":"Heavy truck and bus drivers","stats":null,"type":null},{"value":"834","labl":"Mobile plant operators","stats":null,"type":null},{"value":"835","labl":"Ships' deck crews and related workers","stats":null,"type":null},{"value":"911","labl":"Domestic, hotel and office cleaners and helpers","stats":null,"type":null},{"value":"912","labl":"Vehicle, window, laundry and other hand cleaning workers","stats":null,"type":null},{"value":"921","labl":"Agricultural, forestry and fishery laborers","stats":null,"type":null},{"value":"931","labl":"Mining and construction laborers","stats":null,"type":null},{"value":"932","labl":"Manufacturing laborers","stats":null,"type":null},{"value":"933","labl":"Transport and storage laborers","stats":null,"type":null},{"value":"941","labl":"Food preparation assistants","stats":null,"type":null},{"value":"951","labl":"Street and related service workers","stats":null,"type":null},{"value":"952","labl":"Street vendors (excluding food)","stats":null,"type":null},{"value":"961","labl":"Refuse workers","stats":null,"type":null},{"value":"962","labl":"Other elementary workers","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----------------------------------\nThe original variable indicating the occupation (Q222) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F2"},{"vid":"V133","name":"IND","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"85","var_end_pos":"87","var_width":"3","var_rec_seg_no":"1","labl":"Economic activity 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 15+","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 for the main job.","var_catgry":[{"value":"10","labl":"Agriculture, forestry and fishing","stats":null,"type":null},{"value":"20","labl":"Mining and quarrying","stats":null,"type":null},{"value":"30","labl":"Manufacturing","stats":null,"type":null},{"value":"40","labl":"Electricity, gas and water supply","stats":null,"type":null},{"value":"50","labl":"Construction","stats":null,"type":null},{"value":"60","labl":"Wholesale and retail trade","stats":null,"type":null},{"value":"70","labl":"Transportation and storage","stats":null,"type":null},{"value":"80","labl":"Accommodation and food service activities","stats":null,"type":null},{"value":"90","labl":"Information and communication","stats":null,"type":null},{"value":"100","labl":"Financial and insurance activities","stats":null,"type":null},{"value":"110","labl":"Real estate, professional and support service activities","stats":null,"type":null},{"value":"120","labl":"Public administration and 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\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the economic activity (Q221) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F2"},{"vid":"V134","name":"IND_ISIC4_3","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"88","var_end_pos":"91","var_width":"4","var_rec_seg_no":"1","labl":"Economic activity classification of the main job [ISIC Rev.4-3 digits]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"11","max":"9999"}],"var_universe":"Employed 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":"Economic activity classification for the main job, following the 3-digits International Standard Industrial Classification of All Economic Activities, Revision 4 (ISIC Rev.4).","var_catgry":[{"value":"11","labl":"Growing of non-perennial crops","stats":null,"type":null},{"value":"12","labl":"Growing of perennial 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photographic equipmen","stats":null,"type":null},{"value":"268","labl":"Manufacture of magnetic and optical media","stats":null,"type":null},{"value":"271","labl":"Manufacture of electric motors, generators, transformers and","stats":null,"type":null},{"value":"272","labl":"Manufacture of batteries and accumulators","stats":null,"type":null},{"value":"273","labl":"Manufacture of wiring and wiring devices","stats":null,"type":null},{"value":"274","labl":"Manufacture of electric lighting equipment","stats":null,"type":null},{"value":"275","labl":"Manufacture of domestic appliances","stats":null,"type":null},{"value":"279","labl":"Manufacture of other electrical equipment","stats":null,"type":null},{"value":"281","labl":"Manufacture of general-purpose machinery","stats":null,"type":null},{"value":"282","labl":"Manufacture of special-purpose machinery","stats":null,"type":null},{"value":"291","labl":"Manufacture of motor vehicles","stats":null,"type":null},{"value":"292","labl":"Manufacture of bodies (coachwork) for motor vehicles; manufa","stats":null,"type":null},{"value":"293","labl":"Manufacture of parts and accessories for motor vehicles","stats":null,"type":null},{"value":"301","labl":"Building of ships and boats","stats":null,"type":null},{"value":"302","labl":"Manufacture of railway locomotives and rolling stock","stats":null,"type":null},{"value":"303","labl":"Manufacture of air and spacecraft and related machinery","stats":null,"type":null},{"value":"304","labl":"Manufacture of military fighting vehicles","stats":null,"type":null},{"value":"309","labl":"Manufacture of transport equipment n.e.c.","stats":null,"type":null},{"value":"310","labl":"Manufacture of furniture","stats":null,"type":null},{"value":"321","labl":"Manufacture of jewellery, bijouterie and related articles","stats":null,"type":null},{"value":"322","labl":"Manufacture of musical instruments","stats":null,"type":null},{"value":"323","labl":"Manufacture of sports goods","stats":null,"type":null},{"value":"324","labl":"Manufacture of games and toys","stats":null,"type":null},{"value":"325","labl":"Manufacture of medical and dental instruments and supplies","stats":null,"type":null},{"value":"329","labl":"Other manufacturing n.e.c.","stats":null,"type":null},{"value":"331","labl":"Repair of fabricated metal products, machinery and equipment","stats":null,"type":null},{"value":"332","labl":"Installation of industrial machinery and equipment","stats":null,"type":null},{"value":"351","labl":"Electric power generation, transmission and distribution","stats":null,"type":null},{"value":"352","labl":"Manufacture of gas; distribution of gaseous fuels through ma","stats":null,"type":null},{"value":"353","labl":"Steam and air conditioning supply","stats":null,"type":null},{"value":"360","labl":"Water collection, treatment and supply","stats":null,"type":null},{"value":"370","labl":"Sewerage","stats":null,"type":null},{"value":"381","labl":"Waste collection","stats":null,"type":null},{"value":"382","labl":"Waste treatment and disposal","stats":null,"type":null},{"value":"383","labl":"Materials recovery","stats":null,"type":null},{"value":"390","labl":"Remediation activities and other waste management services","stats":null,"type":null},{"value":"410","labl":"Construction of buildings","stats":null,"type":null},{"value":"421","labl":"Construction of roads and railways","stats":null,"type":null},{"value":"422","labl":"Construction of utility projects","stats":null,"type":null},{"value":"429","labl":"Construction of other civil engineering projects","stats":null,"type":null},{"value":"431","labl":"Demolition and site preparation","stats":null,"type":null},{"value":"432","labl":"Electrical, plumbing and other construction installation act","stats":null,"type":null},{"value":"433","labl":"Building completion and 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wholesale","stats":null,"type":null},{"value":"469","labl":"Non-specialized wholesale trade","stats":null,"type":null},{"value":"471","labl":"Retail sale in non-specialized stores","stats":null,"type":null},{"value":"472","labl":"Retail sale of food, beverages and tobacco in specialized st","stats":null,"type":null},{"value":"473","labl":"Retail sale of automotive fuel in specialized stores","stats":null,"type":null},{"value":"474","labl":"Retail sale of information and communications equipment in s","stats":null,"type":null},{"value":"475","labl":"Retail sale of other household equipment in specialized stor","stats":null,"type":null},{"value":"476","labl":"Retail sale of cultural and recreation goods in specialized","stats":null,"type":null},{"value":"477","labl":"Retail sale of other goods in specialized stores","stats":null,"type":null},{"value":"478","labl":"Retail sale via stalls and markets","stats":null,"type":null},{"value":"479","labl":"Retail trade not in stores, stalls or markets","stats":null,"type":null},{"value":"491","labl":"Transport via railways","stats":null,"type":null},{"value":"492","labl":"Other land transport","stats":null,"type":null},{"value":"493","labl":"Transport via pipeline","stats":null,"type":null},{"value":"501","labl":"Sea and coastal water transport","stats":null,"type":null},{"value":"502","labl":"Inland water transport","stats":null,"type":null},{"value":"511","labl":"Passenger air transport","stats":null,"type":null},{"value":"512","labl":"Freight air transport","stats":null,"type":null},{"value":"521","labl":"Warehousing and storage","stats":null,"type":null},{"value":"522","labl":"Support activities for transportation","stats":null,"type":null},{"value":"531","labl":"Postal activities","stats":null,"type":null},{"value":"532","labl":"Courier activities","stats":null,"type":null},{"value":"551","labl":"Short term accommodation activities","stats":null,"type":null},{"value":"552","labl":"Camping grounds, recreational vehicle parks and trailer park","stats":null,"type":null},{"value":"559","labl":"Other accommodation","stats":null,"type":null},{"value":"561","labl":"Restaurants and mobile food service activities","stats":null,"type":null},{"value":"562","labl":"Event catering and other food service activities","stats":null,"type":null},{"value":"563","labl":"Beverage serving activities","stats":null,"type":null},{"value":"581","labl":"Publishing of books, periodicals and other publishing activi","stats":null,"type":null},{"value":"582","labl":"Software publishing","stats":null,"type":null},{"value":"591","labl":"Motion picture, video and television program activities","stats":null,"type":null},{"value":"592","labl":"Sound recording and music publishing activities","stats":null,"type":null},{"value":"601","labl":"Radio broadcasting","stats":null,"type":null},{"value":"602","labl":"Television programming and broadcasting activities","stats":null,"type":null},{"value":"611","labl":"Wired telecommunications activities","stats":null,"type":null},{"value":"612","labl":"Wireless telecommunications activities","stats":null,"type":null},{"value":"613","labl":"Satellite telecommunications activities","stats":null,"type":null},{"value":"619","labl":"Other telecommunications activities","stats":null,"type":null},{"value":"620","labl":"Computer programming, consultancy and related activities","stats":null,"type":null},{"value":"631","labl":"Data processing, hosting and related activities; web portals","stats":null,"type":null},{"value":"639","labl":"Other information service activities","stats":null,"type":null},{"value":"641","labl":"Monetary intermediation","stats":null,"type":null},{"value":"642","labl":"Activities of holding companies","stats":null,"type":null},{"value":"643","labl":"Trusts, funds and similar financial entities","stats":null,"type":null},{"value":"649","labl":"Other financial service activities, except insurance and pen","stats":null,"type":null},{"value":"651","labl":"Insurance","stats":null,"type":null},{"value":"652","labl":"Reinsurance","stats":null,"type":null},{"value":"653","labl":"Pension funding","stats":null,"type":null},{"value":"661","labl":"Activities auxiliary to financial service activities, except","stats":null,"type":null},{"value":"662","labl":"Activities auxiliary to insurance and pension funding","stats":null,"type":null},{"value":"663","labl":"Fund management activities","stats":null,"type":null},{"value":"681","labl":"Real estate activities with own or leased property","stats":null,"type":null},{"value":"682","labl":"Real estate activities on a fee or contract basis","stats":null,"type":null},{"value":"691","labl":"Legal activities","stats":null,"type":null},{"value":"692","labl":"Accounting, bookkeeping and auditing activities; tax consult","stats":null,"type":null},{"value":"701","labl":"Activities of head offices","stats":null,"type":null},{"value":"702","labl":"Management consultancy activities","stats":null,"type":null},{"value":"711","labl":"Architectural and engineering activities and related technic","stats":null,"type":null},{"value":"712","labl":"Technical testing and analysis","stats":null,"type":null},{"value":"721","labl":"Research and experimental development on natural sciences an","stats":null,"type":null},{"value":"722","labl":"Research and experimental development on social sciences and","stats":null,"type":null},{"value":"731","labl":"Advertising","stats":null,"type":null},{"value":"732","labl":"Market research and public opinion polling","stats":null,"type":null},{"value":"741","labl":"Specialized design activities","stats":null,"type":null},{"value":"742","labl":"Photographic activities","stats":null,"type":null},{"value":"749","labl":"Other professional, scientific and technical activities n.e.","stats":null,"type":null},{"value":"750","labl":"Veterinary activities","stats":null,"type":null},{"value":"771","labl":"Renting and leasing of motor vehicles","stats":null,"type":null},{"value":"772","labl":"Renting and leasing of personal and household goods","stats":null,"type":null},{"value":"773","labl":"Renting and leasing of other machinery, equipment and tangib","stats":null,"type":null},{"value":"774","labl":"Leasing of intellectual property and similar products, excep","stats":null,"type":null},{"value":"781","labl":"Activities of employment placement agencies","stats":null,"type":null},{"value":"782","labl":"Temporary employment agency activities","stats":null,"type":null},{"value":"783","labl":"Other human resources provision","stats":null,"type":null},{"value":"791","labl":"Travel agency and tour operator activities","stats":null,"type":null},{"value":"799","labl":"Other reservation service and related activities","stats":null,"type":null},{"value":"801","labl":"Private security activities","stats":null,"type":null},{"value":"802","labl":"Security systems service 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organizations","stats":null,"type":null},{"value":"951","labl":"Repair of computers and communication equipment","stats":null,"type":null},{"value":"952","labl":"Repair of personal and household goods","stats":null,"type":null},{"value":"960","labl":"Other personal service activities","stats":null,"type":null},{"value":"970","labl":"Activities of households as employers of domestic personnel","stats":null,"type":null},{"value":"981","labl":"Undifferentiated goods-producing activities of private house","stats":null,"type":null},{"value":"982","labl":"Undifferentiated service-producing activities of private hou","stats":null,"type":null},{"value":"990","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----------------------------------\nThe original variable indicating the economic activity (Q221) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F2"},{"vid":"V135","name":"SECTOR","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"92","var_end_pos":"93","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 15+","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----------------------------------\nThe original variable indicating the sector of employment (Q219) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded \"not stated\".","fid":"F2"},{"vid":"V136","name":"SECTOR_D","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"94","var_end_pos":"96","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 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 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----------------------------------\nThe original variable indicating the sector of employment (Q219) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded \"not stated\".\nOrganized private sector was assumed to be inside an establishment; while the non-organized one was coded private sector outside an establishment.","fid":"F2"},{"vid":"V137","name":"HRSWK","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"97","var_end_pos":"98","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":"97"}],"var_universe":"Employed 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":"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----------------------------------\nThe original variable indicating the total number of working hours (Q216) is not reported for those who are employed but temporary absent from their work, waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded \"0\".","fid":"F2"},{"vid":"V138","name":"WNTCHJ","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"99","var_end_pos":"100","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 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 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----------------------------------\nThe original variable indicating the desire to change the main job or practice an additonal one (Q217) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded \"not stated\".\nThe original variable was collected for a reference period of 4 weeks preceding the date of the interview","fid":"F2"},{"vid":"V139","name":"WNTCHJ_R","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"101","var_end_pos":"102","var_width":"2","var_rec_seg_no":"1","labl":"Reason for desiring to change the main job\/get an additional job","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Employed individuals aged 15+ reported desire to change job\/get additional one","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 provides the main reason for which an individual reported desire to change his\/her main job or get an additional one.","var_catgry":[{"value":"1","labl":"Insufficient earnings","stats":null,"type":null},{"value":"2","labl":"Does not match the educational qualification","stats":null,"type":null},{"value":"3","labl":"Bad work conditions","stats":null,"type":null},{"value":"4","labl":"Inappropriate work place location","stats":null,"type":null},{"value":"5","labl":"Present job is seasonal\/casual","stats":null,"type":null},{"value":"6","labl":"Occupation is not suitable","stats":null,"type":null},{"value":"7","labl":"Does not like present job","stats":null,"type":null},{"value":"8","labl":"Inappropriate working hours","stats":null,"type":null},{"value":"90","labl":"Others","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe \"work place location\" might be a reason for the desire to change the job if it is too far from the individual's residence area or if the transportation is too difficult.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V140","name":"TOTWAG","file_id":"F2","var_dcml":"2","var_intrvl":"contin","var_start_pos":"103","var_end_pos":"108","var_width":"6","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":"50","max":"750"}],"var_universe":"Waged workers 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 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 original variable indicates the wage category only, thus, the generated variable is calculated as the midpoint of the ranges provided.\nThe original variable indicating the total monthly wage (Q224) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is reported missing.","fid":"F2"},{"vid":"V141","name":"EMPINC","file_id":"F2","var_dcml":"2","var_intrvl":"contin","var_start_pos":"109","var_end_pos":"114","var_width":"6","var_rec_seg_no":"1","labl":"Total monthly income (for employers) from the main job","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"50","max":"750"}],"var_universe":"Employer 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":"Total monthly income (for employers) from the 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----------------------\nWhen the original dataset has only income categories, the total income is calculated as the midpoint of the range provided.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicates the income category only, thus, the generated variable is calculated as the midpoint of the ranges provided.\nThe original variable indicating the total monthly income (Q224) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is reported missing.","fid":"F2"},{"vid":"V142","name":"SEMPINC","file_id":"F2","var_dcml":"2","var_intrvl":"contin","var_start_pos":"115","var_end_pos":"120","var_width":"6","var_rec_seg_no":"1","labl":"Total monthly income (for self-employed) from the main job","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"50","max":"750"}],"var_universe":"Self-employed 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":"Total monthly income (for self-employed) from the 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----------------------\nWhen the original dataset has only income categories, the total income is calculated as the midpoint of the range provided.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicates the income category only, thus, the generated variable is calculated as the midpoint of the ranges provided.\nThe original variable indicating the total monthly income (Q224) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is reported missing.","fid":"F2"},{"vid":"V143","name":"SRCHACT_01","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"121","var_end_pos":"121","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 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":"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----------------------\n\"Searching for a private project\" includes searching for a land, premises, machinery, supplies, farming inputs, etc.\n\"Online search\" includes placing or updating the r\u00e9sum\u00e9 on professional or social networking sites.\n\"Applying directly to the employer\" includes checking worksites, farms, factories or other assembly places.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V144","name":"SRCHACT_02","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"122","var_end_pos":"122","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 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":"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----------------------\n\"Searching for a private project\" includes searching for a land, premises, machinery, supplies, farming inputs, etc.\n\"Online search\" includes placing or updating the r\u00e9sum\u00e9 on professional or social networking sites.\n\"Applying directly to the employer\" includes checking worksites, farms, factories or other assembly places.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V145","name":"SRCHACT_06","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"123","var_end_pos":"123","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 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":"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----------------------\n\"Searching for a private project\" includes searching for a land, premises, machinery, supplies, farming inputs, etc.\n\"Online search\" includes placing or updating the r\u00e9sum\u00e9 on professional or social networking sites.\n\"Applying directly to the employer\" includes checking worksites, farms, factories or other assembly places.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V146","name":"SRCHACT_07","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"124","var_end_pos":"124","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 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":"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----------------------\n\"Searching for a private project\" includes searching for a land, premises, machinery, supplies, farming inputs, etc.\n\"Online search\" includes placing or updating the r\u00e9sum\u00e9 on professional or social networking sites.\n\"Applying directly to the employer\" includes checking worksites, farms, factories or other assembly places.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V147","name":"SRCHACT_08","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"125","var_end_pos":"125","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 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":"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----------------------\n\"Searching for a private project\" includes searching for a land, premises, machinery, supplies, farming inputs, etc.\n\"Online search\" includes placing or updating the r\u00e9sum\u00e9 on professional or social networking sites.\n\"Applying directly to the employer\" includes checking worksites, farms, factories or other assembly places.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V148","name":"SRCHACT_90","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":"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 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":"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----------------------\n\"Searching for a private project\" includes searching for a land, premises, machinery, supplies, farming inputs, etc.\n\"Online search\" includes placing or updating the r\u00e9sum\u00e9 on professional or social networking sites.\n\"Applying directly to the employer\" includes checking worksites, farms, factories or other assembly places.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V149","name":"SRCHDUR","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"127","var_end_pos":"129","var_width":"3","var_rec_seg_no":"1","labl":"Job search duration in months","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"102"}],"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 has been searching for a 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 period of search reported should be the last continuous period of active search without significant interruption (significant may imply active search efforts for a continuous period of at least four weeks).\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nGenerated by summing two variables Q231M (job search duration in months) and Q231Y (job search duration in years), after multiplying the latter by 12 to convert the durations provided years to months.","fid":"F2"},{"vid":"V150","name":"NOTSRCH_R","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"130","var_end_pos":"131","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 15+","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":[]}