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 PALESTINIAN CENTRAL BUREAU OF STATISTICS<\/p> \n\nThe Palestinian Central Bureau of Statistics (PCBS) carried out four rounds of the Labor Force Survey 2007 (LFS). The survey rounds covered a total sample of about 30,196 households, and the number of completed questionaire is 25,530, which amounts to a sample of around 113,246 individuals aged 10 years and over, including 89,870 individuals in the working-age population 15 years and above.\n\nThe importance of this survey lies in that it focuses mainly on labour force key indicators, main characteristics of the employed, unemployed, underemployed and persons outside labour force, labour force according to level of education, distribution of the employed population by occupation, economic activity, place of work, employment status, hours and days worked and average daily wage in NIS for the employees.\n\nThe survey main objectives are:\n- To estimate the labor force and its percentage to the population.\n- To estimate the number of employed individuals.\n- To analyze labour force according to gender, employment status, educational level , occupation and economic activity.\n- To provide information about the main changes in the labour market structure and its socio economic characteristics.\n- To estimate the numbers of unemployed individuals and analyze their general characteristics.\n- To estimate the rate of working hours and wages for employed individuals in addition to analyze of other characteristics.\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":"2007-01-01","end":"2007-12-31","cycle":"-"}],"nation":[{"name":"West Bank and Gaza","abbreviation":"WBG"}],"geog_coverage":"Covering a representative sample on the region level (West Bank, Gaza Strip), the locality type (urban, rural, camp) and the governorates.","analysis_unit":"1- Household\/family.\n2- Individual\/person.","universe":"The survey covered all Palestinian households who are a usual residence of the Palestinian Territory.","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, secondary 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, secondary and last held job characteristics, wages and incomes, unemployment characteristics and inactivity reason(s)."},"method":{"data_collection":{"data_collectors":[{"name":"Palestinian Central Bureau of Statistics","abbreviation":"PCBS","affiliation":"Palestinian National Authority"}],"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 PALESTINIAN CENTRAL BUREAU OF STATISTICS<\/p> \n\nThe methodology was designed according to the context of the survey, international standards, data processing requirements and comparability of outputs with other related surveys.\n\nTarget Population:\n===========\nAll Palestinians aged 10 years or older living in the Palestinian Territory, excluding those living in institutions such as prisons or shelters.\n\nSampling Frame:\n==========\nThe sampling frame consisted of a master sample of Enumeration Areas (EAs) selected from the population housing and establishment census 1997. The master sample consists of area units of relatively equal size (number of households), these units have been used as Primary Sampling Units (PSUs).\n\nSample Design:\n==========\nThe sample is a two-stage stratified cluster random sample.\n\nStratification:\nFour levels of stratification were made:\n\n1. Stratification by Governorates.\n2. Stratification by type of locality which comprises: (a) Urban, (b) Rural, and (c) Refugee Camps\n3. Stratification by classifying localities, excluding governorate centers, into three strata based on the ownership of households of durable goods within these localities.\n4. Stratification by size of locality (number of households).\n\nSample Size\n=======\nThe sample size in the 1st round consisted of 7,552 households, which amounts to a sample of around 23,211 persons aged 15 years and over. In the 2nd round the sample consisted of 7,552 households, which amounts to a sample of around 22,969 persons aged 15 years and over, in the 3rd round the sample consisted of 7,546 households, which amounts to a sample of around 22,767 persons aged 15 years and over. In the 4th round the sample consisted of 7,546 households; which amounts to a sample of around 20,923 persons aged 15 years and over.\nThe sample size allowed for non-response and related losses. In addition, the average number of households selected in each cell was 16.\n\nSample Rotation:\n===========\nEach round of the Labor Force Survey covers all the 481 master sample areas. Basically, the areas remain fixed over time, but households in 50% of the EAs are replaced each round. The same household remains in the sample over 2 consecutive rounds, rests for the next two rounds and represented again in the sample for another and last two consecutive rounds before it is dropped from the sample. A 50 % overlap is then achieved between both consecutive rounds and between consecutive years (making the sample efficient for monitoring purposes).\nIn earlier applications of the LFS (rounds 1 to 11); the rotation pattern used was different; requiring a household to remain in the sample for six consecutive rounds, then dropped. The objective of such a pattern was to increase the overlap between consecutive rounds. The new rotation pattern was introduced to reduce the burden on the households resulting from visiting the same household for six consecutive times.","coll_mode":"Face-to-face [f2f]","research_instrument":"The lfs questionnaire consists of four main sections: \n1. Identification Data:\nThe main objective for this part is to record the necessary information to identify the household, such as, cluster code, sector, type of locality, cell, housing number and the cell code.\n\n2. Quality Control:\nThis part involves groups of controlling standards to monitor the field and office operation, to keep in order the sequence of questionnaire stages (data collection, field and office coding, data entry, editing after entry and store the data.\n\n3.Household Roster:\nThis part involves demographic characteristics about the household, like number of persons in the household, date of birth, sex, educational level\u2026etc.\n\n4. Employment Part:\nThis part involves the major research indicators, where one questionnaire had been answered by every 15 years and over household member, to be able to explore their labour force status and recognize their major characteristics toward employment status, economic activity, occupation, place of work, and other employment indicators.","coll_situation":"Training and Recruitment\n===============\nThe purpose of the training courses was to teach participants the main skills needed to conduct interviews. Two training courses were held, one in Ramallah for the West Bank trainees, and one in Gaza City for Gaza Strip trainees. Each course consisted of two parts: one on survey methodology including survey design, questionnaire design, interviewing techniques, and field operations; and one part on specifications of the labour force survey, including concepts and definitions, fieldwork procedures, data collection, editing, coding, tips for asking questions and recording answers, as well as field team organization and field supervision.\nThe training courses included lectures and field exercises. Each course lasted 3 days, training 20 interviewers and 4 supervisors.\n\nOrganization of Field Work\n=================\nThe preparation phase for the LFS included recruiting and training of interviewers and supervisors. The staff on this project participated in previous survey projects at PCBS, and are highly qualified.\nThe West Bank was divided into three areas (North, Middle and South), each of which was supervised by one field supervisor. Each region consists of a number of districts, and the fieldwork was carried out by one fieldwork team, consisting of 2-3 interviewers.\nGaza Strip was also divided into three areas (North, Middle and South). Fieldwork activities were carried out by one fieldwork team, each consisting of a supervisor, an editor and 3 interviewers.\nSpecial procedures were followed in order to ensure quality control and efficient organization of fieldwork. Such procedures are important for supervising work, as well as for receiving and delivering questionnaires, maps, sample lists in addition to other forms used for management and quality control.\nField operations were conducted in the Palestinian Territory from 06\/01\/2007 to 05\/01\/2008.\nFieldwork teams were distributed to each area on the basis of the sample size. The number of LFS' fieldwork team was 22, including the fieldwork coordinator, 4 supervisors, 3 editors, and 10 interviewers including coders.","weight":"The weight of the statistical unit (sampling unit) in the sample is defined as the mathematical inverse of the selection probability. The sample of the survey is two stage stratified cluster sample, thus, the weights are calculated for each stage and the Households Weights is the multiplication of the two weights.\nFirst stage weight:\nThe sample of enumeration areas is selected and the weight is called enumeration area weight (the sampling unit is enumeration area).The weight for enumeration areas from stratum h is calculated by dividing the number of enumeration areas in stratum h on the sample size of enumeration areas in stratum h.\n\nSecond stage weight:\nThe sample of households is selected and the weight is called household weight (the sampling unit is household). The weight of the Household from enumeration area (cluster) k is calculated by dividing the number of households in each cluster with the sample size of households within the cluster k. \n\nThe primary weight of households before modification is the multiplication of the\nweights of the first and second stages.\nThen we adjust the primary weights for the households to compensate for the non - response of households by calculating adjustment factor for households weights for adjustment levels (Governorate and locality type ) by using households projections by adjustment levels in 2006.\nThen the final weight for the households ( FHW) is a multiplication of the adjustment factor by the primary weights for the household\n\n\"The persons weights were adjusted according to population estimates on the level of Region , Sex, and Age groups. \"","cleaning_operations":"Raw Data\n=======\nData editing took place at a number of stages through the processing including:\n1. office editing and coding\n2. during data entry\n3. structure checking and completeness\n4. structural checking of SPSS data files\n\nHarmonized Data\n============\n- The SPSS package is used to clean and harmonize the datasets.\n- The harmonization process starts with a cleaning process for all raw data files received from the Statistical Agency.\n- All cleaned data files are then merged to produce one data file on the individual level containing all variables subject to harmonization.\n- A country-specific program is generated for each dataset to generate\/ compute\/ recode\/ rename\/ format\/ label harmonized variables.\n- A post-harmonization cleaning process is then conducted on the data.\n- Harmonized data is saved on the household as well as the individual level, in SPSS and then converted to STATA, to be disseminated.","method_notes":"Both data entry and tabulation were performed using the ACCESS and SPSS software programs. Data entry was organized in one files, corresponding to the main parts of the questionnaire. A data entry template was designed to reflect an exact image of the questionnaire, and included various electronic checks: logical check, range checks, consisting checks and cross-validation. Complete manual inspection of results after data entry was performed, and questionnaires containing field-related errors were sent back to the field for correction."},"analysis_info":{"response_rate":"The overall response rate for the survey was 84.5%\n \nMore information on the distribution of response rates by different survey rounds is available in Page 12 of the data user guide provided among the disseminated survey materials under a file named \"Palestine 2007- Data User Guide (English).pdf\".","sampling_error_estimates":"Since the data reported here are based on a sample survey and not on a complete enumeration, they are subjected to sampling errors as well as non-sampling errors.\nSampling errors are random outcomes of the sample design, and are, therefore, in principle measurable by the statistical concept of standard error.","data_appraisal":"Non-sampling errors can occur at the various stages of survey implementation whether in data collection or in data processing. They are generally difficult to be evaluated statistically.\nThey cover a wide range of errors, including errors resulting from non-response, sampling frame coverage, coding and classification, data processing, and survey response (both respondent and interviewer-related). The use of effective training and supervision and the careful design of questions have direct bearing on limiting the magnitude of non-sampling errors, and hence enhancing the quality of the resulting data. The following are possible sources of non-sampling errors:\n\n- Errors due to non-response because households were away from home or refused to participate. The overall non response rate amounted to almost 15.5% which is relatively low; a much higher rates is rather common in an international perspective. The refusal rate was only 1.1%. It is difficult however to assess the amount of bias resulting from non response. The PCBS has not yet undertaken any non-response study. Such a study may indicate, that non-response is more frequent in some population groups than in others. This is rather normal and such information is necessary to be able to compensate for bias resulting from non-response errors.\nHouseholds interviewed in a week different than the reference week. All households were interviewed in the reference week in this survey.\n\n- Errors in data processing, such as coding and punching. The data underwent checking and completion of missing information in the office and logical checks were computerized as well as manually, including call-backs if needed.\nResponse errors which resulted from misunderstanding of the questions, interviewers\u2019 bias in asking the questions and in probing. Thorough training, supervision, and various quality control checks were used to minimize bias resulting from these kinds of errors.\nThe demographic data, including the sex ratio by age were computed and found generally reasonable and consistent with those found from other sources. These results and the various checks for external validity indicate that the survey data are of a high quality."}},"data_access":{"dataset_availability":{"access_place":"Economic Research Forum","access_place_uri":"http:\/\/erfdataportal.com\/index.php\/catalog\/80","original_archive":"Economic Research Forum\nhttp:\/\/erfdataportal.com\/index.php\/catalog\/80\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 Palestinian Central Bureau of Statistics as follows:\n\nOAMDI, 2015. Harmonized Labor Force Surveys (HLFS), http:\/\/erf.org.eg\/data-portal\/. Version 1.0 of Licensed Data Files; LFS 2007 - Palestinian Central Bureau of Statistics (PCBS). Egypt: Economic Research Forum (ERF).","conditions":"Licensed datasets, accessible under conditions.","disclaimer":"The Economic Research Forum and the Palestinian Central Bureau of Statistics have granted the researcher access to relevant data following exhaustive efforts to protect the confidentiality of individual data. The researcher is solely responsible for any analysis or conclusions drawn from available data."}}},"data_files":[{"file_id":"F1","file_name":"Palestine07-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 paneled households.","case_count":"0","var_count":"88","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F2","file_name":"Palestine07-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":"66","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":"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":"12","labl":"Algeria","stats":null,"type":null},{"value":"48","labl":"Bahrain","stats":null,"type":null},{"value":"262","labl":"Djibouti","stats":null,"type":null},{"value":"275","labl":"Palestine","stats":null,"type":null},{"value":"368","labl":"Iraq","stats":null,"type":null},{"value":"400","labl":"Jordan","stats":null,"type":null},{"value":"414","labl":"Kuwait","stats":null,"type":null},{"value":"422","labl":"Lebanon","stats":null,"type":null},{"value":"434","labl":"Libya","stats":null,"type":null},{"value":"478","labl":"Mauritania","stats":null,"type":null},{"value":"504","labl":"Morocco","stats":null,"type":null},{"value":"512","labl":"Oman","stats":null,"type":null},{"value":"634","labl":"Qatar","stats":null,"type":null},{"value":"682","labl":"Saudi Arabia","stats":null,"type":null},{"value":"729","labl":"Sudan","stats":null,"type":null},{"value":"760","labl":"Syrian Arab Republic","stats":null,"type":null},{"value":"784","labl":"United Arab Emirates","stats":null,"type":null},{"value":"788","labl":"Tunisia","stats":null,"type":null},{"value":"818","labl":"Egypt","stats":null,"type":null},{"value":"887","labl":"Yemen","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":"2007","max":"2007"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"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":"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.","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":"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 2 since the data is panel.\nA check on paneled households and individuals was conducted.\nSome inconsistencies were detected across rounds in paneled observations. \nOnly some cases could be corrected, particularly in time-invariant characteristics, however the most appropriate method to deal with the rest was left to the user's judgement.","fid":"F1"},{"vid":"V5","name":"DREP","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"10","var_end_pos":"11","var_width":"2","var_rec_seg_no":"1","labl":"Household repetition over rounds","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"34"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"For the panel as well as the fresh sample, this variable should indicate the round(s) over which a certain household was interviewed.","var_catgry":[{"value":"1","labl":"First round only","stats":null,"type":null},{"value":"2","labl":"Second round only","stats":null,"type":null},{"value":"3","labl":"Third round only","stats":null,"type":null},{"value":"4","labl":"Fourth round only","stats":null,"type":null},{"value":"12","labl":"First and second rounds","stats":null,"type":null},{"value":"13","labl":"First and third rounds","stats":null,"type":null},{"value":"14","labl":"First and fourth rounds","stats":null,"type":null},{"value":"23","labl":"Second and third rounds","stats":null,"type":null},{"value":"24","labl":"Second and fourth rounds","stats":null,"type":null},{"value":"34","labl":"Third and fourth rounds","stats":null,"type":null}],"var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThis variable is generated only in the case of panel data. In case of cross-sectional data, this variable should typically be similar to the \"ROUND\" variable.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nGenerated by ERF","fid":"F1"},{"vid":"V6","name":"CASESER","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"12","var_end_pos":"17","var_width":"6","var_rec_seg_no":"1","labl":"Unique household identifier","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"600","max":"471883"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"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----------------------------------","fid":"F1"},{"vid":"V7","name":"HPNLID","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"18","var_end_pos":"23","var_width":"6","var_rec_seg_no":"1","labl":"Household panel identifier","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"701","max":"923722"}],"var_universe":"Paneled households","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 identifiers of paneled households only, either those observed across different rounds during the survey year or across two successive years, depending on the sampling design.","var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThis identifier should be available for the paneled households only, and is unique within EACH round. It should be used to merge the panel data of households observed over several rounds. In some datasets, for the paneled households only, this variable might be similar to CASESER.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nProvided for paneled households and individuals only","fid":"F1"},{"vid":"V8","name":"HWEIGHT","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"24","var_end_pos":"29","var_width":"6","var_rec_seg_no":"1","labl":"Household weight","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1.60569715142429","max":"111.963654033042"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Data provider household weight.","var_codeinstr":"Original survey variable renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe household weight can correct just for sample bias, or also for non-sampling errors (such as response bias and adjustment to population distribution). In many cases, the weight is a population weight, which means that the weight will inflate the result to reflect the total population. \nWe strongly recommend that all statistical analysis be performed using the data weights.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V9","name":"REG","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"30","var_end_pos":"35","var_width":"6","var_rec_seg_no":"1","labl":"Region","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"275001","max":"275002"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Region of residence.","var_catgry":[{"value":"275001","labl":"West bank","stats":null,"type":null},{"value":"275002","labl":"Gaza strip","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":"V10","name":"AREA","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"36","var_end_pos":"41","var_width":"6","var_rec_seg_no":"1","labl":"Area","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"275001","max":"275075"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Second geographical variable identifying another aspect of the location of the unit not described in REG such as city or village.","var_catgry":[{"value":"275001","labl":"Jenin","stats":null,"type":null},{"value":"275005","labl":"Tubas","stats":null,"type":null},{"value":"275010","labl":"Tulkarm","stats":null,"type":null},{"value":"275015","labl":"Nablus","stats":null,"type":null},{"value":"275020","labl":"Qalqilia","stats":null,"type":null},{"value":"275025","labl":"Salfit","stats":null,"type":null},{"value":"275030","labl":"Ramallah","stats":null,"type":null},{"value":"275035","labl":"Jericho","stats":null,"type":null},{"value":"275040","labl":"Jerusalem","stats":null,"type":null},{"value":"275045","labl":"Bethlehem","stats":null,"type":null},{"value":"275050","labl":"Hebron","stats":null,"type":null},{"value":"275055","labl":"North Gaza","stats":null,"type":null},{"value":"275060","labl":"Gaza city","stats":null,"type":null},{"value":"275065","labl":"Deir Al-Balah","stats":null,"type":null},{"value":"275070","labl":"Khan Yunis","stats":null,"type":null},{"value":"275075","labl":"Rafah","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":"V11","name":"RURURB","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"42","var_end_pos":"42","var_width":"1","var_rec_seg_no":"1","labl":"Urban\/Rural residence","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"2"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"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\".\t\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V12","name":"TPNUM","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"43","var_end_pos":"44","var_width":"2","var_rec_seg_no":"1","labl":"Total number of household members","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"16"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Total number of 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":"V13","name":"MALNUM","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"45","var_end_pos":"46","var_width":"2","var_rec_seg_no":"1","labl":"Total number of males in the household","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":"vald"},{"value":"0","type":"invd"},{"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":"V14","name":"FEMNUM","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"47","var_end_pos":"48","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":"11"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Total number of females in the household","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":"V15","name":"MALUNEMP_PW","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"49","var_end_pos":"49","var_width":"1","var_rec_seg_no":"1","labl":"Number of unemployed 15+ males who have previously worked","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"5"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"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":"V16","name":"MALUNEMP_NW","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"50","var_end_pos":"50","var_width":"1","var_rec_seg_no":"1","labl":"Number of unemployed 15+ males who have never worked","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"4"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"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":"V17","name":"FEMUNEMP_PW","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"51","var_end_pos":"51","var_width":"1","var_rec_seg_no":"1","labl":"Number of unemployed 15+females who have previously worked","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"3"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"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":"V18","name":"FEMUNEMP_NW","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"52","var_end_pos":"52","var_width":"1","var_rec_seg_no":"1","labl":"Number of 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":"vald"},{"value":"0","type":"invd"},{"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":"V19","name":"HUNEMP_PW","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"53","var_end_pos":"53","var_width":"1","var_rec_seg_no":"1","labl":"Number of 15+ 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":"vald"},{"value":"0","type":"invd"},{"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":"V20","name":"HUNEMP_NW","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"54","var_end_pos":"54","var_width":"1","var_rec_seg_no":"1","labl":"Number of 15+ 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":"vald"},{"value":"0","type":"invd"},{"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":"V21","name":"MALINLF","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"55","var_end_pos":"55","var_width":"1","var_rec_seg_no":"1","labl":"Number of 15+ males in the labor force","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"8"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"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":"V22","name":"FEMINLF","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"56","var_end_pos":"56","var_width":"1","var_rec_seg_no":"1","labl":"Number of 15+females in the labor force","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"7"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"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":"V23","name":"HINLF","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"57","var_end_pos":"58","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":"10"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Number of 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":"V24","name":"MALOUTLF","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"59","var_end_pos":"59","var_width":"1","var_rec_seg_no":"1","labl":"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":"vald"},{"value":"0","type":"invd"},{"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":"V25","name":"FEMOUTLF","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"60","var_end_pos":"60","var_width":"1","var_rec_seg_no":"1","labl":"Number of 15+ females out of 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":"vald"},{"value":"0","type":"invd"},{"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":"V26","name":"HOUTLF","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"61","var_end_pos":"62","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":"12"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Number of 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":"V27","name":"AGEHD","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"63","var_end_pos":"65","var_width":"3","var_rec_seg_no":"1","labl":"Age of the head","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"16","max":"104"}],"var_universe":"All Heads","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Age of the head in 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.\nWhen the original dataset has only age categories, age is calculated as the midpoint of the range provided.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V28","name":"AGESP_1","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"66","var_end_pos":"67","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":"90"}],"var_universe":"All Spouses","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Age 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.\nWhen the original dataset has only age categories, age is calculated as the midpoint of the range provided.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V29","name":"AGESP_2","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"68","var_end_pos":"69","var_width":"2","var_rec_seg_no":"1","labl":"Age of the second spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"17","max":"83"}],"var_universe":"All Spouses","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Age 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.\nWhen the original dataset has only age categories, age is calculated as the midpoint of the range provided.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V30","name":"AGESP_3","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"70","var_end_pos":"71","var_width":"2","var_rec_seg_no":"1","labl":"Age of the third spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"28","max":"46"}],"var_universe":"All Spouses","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Age 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.\nWhen the original dataset has only age categories, age is calculated as the midpoint of the range provided.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V31","name":"SEXHD","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"72","var_end_pos":"72","var_width":"1","var_rec_seg_no":"1","labl":"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":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Gender of the head.","var_catgry":[{"value":"1","labl":"Male","stats":null,"type":null},{"value":"2","labl":"Female","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V32","name":"SEXSP_1","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"73","var_end_pos":"73","var_width":"1","var_rec_seg_no":"1","labl":"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":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Gender of the first spouse.","var_catgry":[{"value":"1","labl":"Male","stats":null,"type":null},{"value":"2","labl":"Female","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V33","name":"SEXSP_2","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"74","var_end_pos":"74","var_width":"1","var_rec_seg_no":"1","labl":"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":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Gender of the second spouse.","var_catgry":[{"value":"1","labl":"Male","stats":null,"type":null},{"value":"2","labl":"Female","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V34","name":"SEXSP_3","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"75","var_end_pos":"75","var_width":"1","var_rec_seg_no":"1","labl":"Gender 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":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Gender of the third spouse.","var_catgry":[{"value":"1","labl":"Male","stats":null,"type":null},{"value":"2","labl":"Female","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V35","name":"MARTHD","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"76","var_end_pos":"77","var_width":"2","var_rec_seg_no":"1","labl":"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 12+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Legal administrative status concerning marriage of the head.","var_catgry":[{"value":"1","labl":"Never married","stats":null,"type":null},{"value":"2","labl":"Married monogamous","stats":null,"type":null},{"value":"3","labl":"Married polygamous","stats":null,"type":null},{"value":"4","labl":"Divorced\/Separated","stats":null,"type":null},{"value":"5","labl":"Widowed","stats":null,"type":null},{"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----------------------------------\nIn the raw data, an aggregated \"other\" category is provided to indicate the divorced, separated or widowed. To split the original category, those younger than 60 years of age were assumed to be divorced\/separated, while those aged 60 years or older were assumed to be widowed.","fid":"F1"},{"vid":"V36","name":"MARTHD_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"78","var_end_pos":"80","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 12+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Legal administrative status concerning marriage of the head (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\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nIn the raw data, an aggregated \"other\" category is provided to indicate the divorced, separated or widowed. To split the original category, those younger than 60 years of age were assumed to be divorced\/separated, while those aged 60 years or older were assumed to be widowed.","fid":"F1"},{"vid":"V37","name":"LITHD","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"81","var_end_pos":"82","var_width":"2","var_rec_seg_no":"1","labl":"Literacy status of the head","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Heads aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates whether the head is literate (can read and write) or not.","var_catgry":[{"value":"0","labl":"No","stats":null,"type":null},{"value":"1","labl":"Can read & write","stats":null,"type":null},{"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":"V38","name":"LITSP_1","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"83","var_end_pos":"84","var_width":"2","var_rec_seg_no":"1","labl":"Literacy status of the first spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates whether the first spouse is literate (can read and write) or not.","var_catgry":[{"value":"0","labl":"No","stats":null,"type":null},{"value":"1","labl":"Can read & write","stats":null,"type":null},{"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":"V39","name":"LITSP_2","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"85","var_end_pos":"86","var_width":"2","var_rec_seg_no":"1","labl":"Literacy status of the second spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates whether the second spouse is literate (can read and write) or not.","var_catgry":[{"value":"0","labl":"No","stats":null,"type":null},{"value":"1","labl":"Can read & write","stats":null,"type":null},{"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":"V40","name":"LITSP_3","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"87","var_end_pos":"88","var_width":"2","var_rec_seg_no":"1","labl":"Literacy status of the third spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates whether the third spouse is literate (can read and write) or not.","var_catgry":[{"value":"0","labl":"No","stats":null,"type":null},{"value":"1","labl":"Can read & write","stats":null,"type":null},{"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":"V41","name":"EDUHD","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"89","var_end_pos":"90","var_width":"2","var_rec_seg_no":"1","labl":"Educational level of the head [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Heads aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Highest level of education attained by the head.","var_catgry":[{"value":"1","labl":"None","stats":null,"type":null},{"value":"2","labl":"Primary\/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----------------------------------","fid":"F1"},{"vid":"V42","name":"EDUSP_1","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"91","var_end_pos":"92","var_width":"2","var_rec_seg_no":"1","labl":"Educational level of the first spouse [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Highest level of education attained by the first spouse.","var_catgry":[{"value":"1","labl":"None","stats":null,"type":null},{"value":"2","labl":"Primary\/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----------------------------------","fid":"F1"},{"vid":"V43","name":"EDUSP_2","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"93","var_end_pos":"94","var_width":"2","var_rec_seg_no":"1","labl":"Educational level of the second spouse [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Highest level of education attained by the second spouse.","var_catgry":[{"value":"1","labl":"None","stats":null,"type":null},{"value":"2","labl":"Primary\/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----------------------------------","fid":"F1"},{"vid":"V44","name":"EDUSP_3","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"95","var_end_pos":"96","var_width":"2","var_rec_seg_no":"1","labl":"Educational level of the third spouse [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Highest level of education attained by the third spouse.","var_catgry":[{"value":"1","labl":"None","stats":null,"type":null},{"value":"2","labl":"Primary\/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----------------------------------","fid":"F1"},{"vid":"V45","name":"EDUHD_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"97","var_end_pos":"99","var_width":"3","var_rec_seg_no":"1","labl":"Educational level of the head [Detailed version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"100","max":"999"}],"var_universe":"Heads aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"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\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V46","name":"EDUSP_1_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"100","var_end_pos":"102","var_width":"3","var_rec_seg_no":"1","labl":"Educational level of the first spouse [Detailed version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"100","max":"999"}],"var_universe":"Spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Highest level of education attained (detailed version of coding) by the first spouse.","var_catgry":[{"value":"100","labl":"None","stats":null,"type":null},{"value":"110","labl":"Illiterate","stats":null,"type":null},{"value":"120","labl":"Read only","stats":null,"type":null},{"value":"130","labl":"Read & write","stats":null,"type":null},{"value":"140","labl":"Literacy classes\/certificate","stats":null,"type":null},{"value":"150","labl":"Never attended school","stats":null,"type":null},{"value":"160","labl":"KG","stats":null,"type":null},{"value":"170","labl":"Koranic KG (Kouttab)","stats":null,"type":null},{"value":"180","labl":"Attending elementary school and did not complete first level","stats":null,"type":null},{"value":"200","labl":"Primary\/Lower secondary","stats":null,"type":null},{"value":"210","labl":"Primary","stats":null,"type":null},{"value":"220","labl":"Preparatory","stats":null,"type":null},{"value":"230","labl":"Lower secondary","stats":null,"type":null},{"value":"240","labl":"Professional\/Vocational below secondary education","stats":null,"type":null},{"value":"300","labl":"Secondary","stats":null,"type":null},{"value":"310","labl":"Academic secondary","stats":null,"type":null},{"value":"320","labl":"Professional\/Vocational secondary","stats":null,"type":null},{"value":"400","labl":"Post secondary or equivalent","stats":null,"type":null},{"value":"500","labl":"University","stats":null,"type":null},{"value":"600","labl":"Postgraduate","stats":null,"type":null},{"value":"610","labl":"High diploma","stats":null,"type":null},{"value":"620","labl":"Masters","stats":null,"type":null},{"value":"630","labl":"PhD","stats":null,"type":null},{"value":"999","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V47","name":"EDUSP_2_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"103","var_end_pos":"105","var_width":"3","var_rec_seg_no":"1","labl":"Educational level of the second spouse [Detailed version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"100","max":"999"}],"var_universe":"Spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Highest level of education attained (detailed version of coding) by the second spouse.","var_catgry":[{"value":"100","labl":"None","stats":null,"type":null},{"value":"110","labl":"Illiterate","stats":null,"type":null},{"value":"120","labl":"Read only","stats":null,"type":null},{"value":"130","labl":"Read & write","stats":null,"type":null},{"value":"140","labl":"Literacy classes\/certificate","stats":null,"type":null},{"value":"150","labl":"Never attended school","stats":null,"type":null},{"value":"160","labl":"KG","stats":null,"type":null},{"value":"170","labl":"Koranic KG (Kouttab)","stats":null,"type":null},{"value":"180","labl":"Attending elementary school and did not complete first level","stats":null,"type":null},{"value":"200","labl":"Primary\/Lower secondary","stats":null,"type":null},{"value":"210","labl":"Primary","stats":null,"type":null},{"value":"220","labl":"Preparatory","stats":null,"type":null},{"value":"230","labl":"Lower secondary","stats":null,"type":null},{"value":"240","labl":"Professional\/Vocational below secondary education","stats":null,"type":null},{"value":"300","labl":"Secondary","stats":null,"type":null},{"value":"310","labl":"Academic secondary","stats":null,"type":null},{"value":"320","labl":"Professional\/Vocational secondary","stats":null,"type":null},{"value":"400","labl":"Post secondary or equivalent","stats":null,"type":null},{"value":"500","labl":"University","stats":null,"type":null},{"value":"600","labl":"Postgraduate","stats":null,"type":null},{"value":"610","labl":"High diploma","stats":null,"type":null},{"value":"620","labl":"Masters","stats":null,"type":null},{"value":"630","labl":"PhD","stats":null,"type":null},{"value":"999","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V48","name":"EDUSP_3_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"106","var_end_pos":"108","var_width":"3","var_rec_seg_no":"1","labl":"Educational level of the third spouse [Detailed version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"100","max":"999"}],"var_universe":"Spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Highest level of education attained (detailed version of coding) by the third spouse.","var_catgry":[{"value":"100","labl":"None","stats":null,"type":null},{"value":"110","labl":"Illiterate","stats":null,"type":null},{"value":"120","labl":"Read only","stats":null,"type":null},{"value":"130","labl":"Read & write","stats":null,"type":null},{"value":"140","labl":"Literacy classes\/certificate","stats":null,"type":null},{"value":"150","labl":"Never attended school","stats":null,"type":null},{"value":"160","labl":"KG","stats":null,"type":null},{"value":"170","labl":"Koranic KG (Kouttab)","stats":null,"type":null},{"value":"180","labl":"Attending elementary school and did not complete first level","stats":null,"type":null},{"value":"200","labl":"Primary\/Lower secondary","stats":null,"type":null},{"value":"210","labl":"Primary","stats":null,"type":null},{"value":"220","labl":"Preparatory","stats":null,"type":null},{"value":"230","labl":"Lower secondary","stats":null,"type":null},{"value":"240","labl":"Professional\/Vocational below secondary education","stats":null,"type":null},{"value":"300","labl":"Secondary","stats":null,"type":null},{"value":"310","labl":"Academic secondary","stats":null,"type":null},{"value":"320","labl":"Professional\/Vocational secondary","stats":null,"type":null},{"value":"400","labl":"Post secondary or equivalent","stats":null,"type":null},{"value":"500","labl":"University","stats":null,"type":null},{"value":"600","labl":"Postgraduate","stats":null,"type":null},{"value":"610","labl":"High diploma","stats":null,"type":null},{"value":"620","labl":"Masters","stats":null,"type":null},{"value":"630","labl":"PhD","stats":null,"type":null},{"value":"999","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V49","name":"MASHD","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"109","var_end_pos":"110","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 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Main activity status of the head during the survey period.","var_catgry":[{"value":"1","labl":"Employed","stats":null,"type":null},{"value":"2","labl":"Unemployed","stats":null,"type":null},{"value":"3","labl":"Homemaker (Housewife)","stats":null,"type":null},{"value":"4","labl":"Student","stats":null,"type":null},{"value":"5","labl":"Pensioners\/retired\/disabled","stats":null,"type":null},{"value":"6","labl":"Others","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nUnlike 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 seek employment\", and who report that they are unemployed. \n - Not in Labor Force \/ Inactive \u2013 individuals identifiable as being neither employed nor unemployed, by the definitions above. If possible, the inactive category should distinguish between the retired, students, homemakers, pensioners, disabled, etc.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V50","name":"MASSP_1","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"111","var_end_pos":"112","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 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Main activity status of the first spouse during the survey period.","var_catgry":[{"value":"1","labl":"Employed","stats":null,"type":null},{"value":"2","labl":"Unemployed","stats":null,"type":null},{"value":"3","labl":"Homemaker (Housewife)","stats":null,"type":null},{"value":"4","labl":"Student","stats":null,"type":null},{"value":"5","labl":"Pensioners\/retired\/disabled","stats":null,"type":null},{"value":"6","labl":"Others","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nUnlike 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 seek employment\", and who report that they are unemployed. \n - Not in Labor Force \/ Inactive - individuals identifiable as being neither employed nor unemployed, by the definitions above. If possible, the inactive category should distinguish between the retired, students, homemakers, pensioners, disabled, etc.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V51","name":"MASSP_2","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"113","var_end_pos":"114","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 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Main activity status of the second spouse during the survey period.","var_catgry":[{"value":"1","labl":"Employed","stats":null,"type":null},{"value":"2","labl":"Unemployed","stats":null,"type":null},{"value":"3","labl":"Homemaker (Housewife)","stats":null,"type":null},{"value":"4","labl":"Student","stats":null,"type":null},{"value":"5","labl":"Pensioners\/retired\/disabled","stats":null,"type":null},{"value":"6","labl":"Others","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\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 seek employment\", and who report that they are unemployed. \n - Not in Labor Force \/ Inactive - individuals identifiable as being neither employed nor unemployed, by the definitions above. If possible, the inactive category should distinguish between the retired, students, homemakers, pensioners, disabled, etc.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V52","name":"MASSP_3","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"115","var_end_pos":"116","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 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Main activity status of the third spouse during the survey period.","var_catgry":[{"value":"1","labl":"Employed","stats":null,"type":null},{"value":"2","labl":"Unemployed","stats":null,"type":null},{"value":"3","labl":"Homemaker (Housewife)","stats":null,"type":null},{"value":"4","labl":"Student","stats":null,"type":null},{"value":"5","labl":"Pensioners\/retired\/disabled","stats":null,"type":null},{"value":"6","labl":"Others","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nUnlike 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 seek employment\", and who report that they are unemployed. \n - Not in Labor Force \/ Inactive - individuals identifiable as being neither employed nor unemployed, by the definitions above. If possible, the inactive category should distinguish between the retired, students, homemakers, pensioners, disabled, etc.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F1"},{"vid":"V53","name":"MASHD_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"117","var_end_pos":"119","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 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Main activity status of the head during the survey period (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.\nFamily responsibilities includes taking caring for children, the incapacitated or elderly.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe category 530, indicating those who are inactive because of disability, identifies as well some respondents who have been abroad at the time of survey, as defined in the raw data, those could not be separately classified.\nFor those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F1"},{"vid":"V54","name":"MASSP_1_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"120","var_end_pos":"122","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 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Main activity status of the first spouse during the survey period (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.\nFamily responsibilities includes taking caring for children, the incapacitated or elderly.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe category 530, indicating those who are inactive because of disability, identifies as well some respondents who have been abroad at the time of survey, as defined in the raw data, those could not be separately classified.\nFor those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F1"},{"vid":"V55","name":"MASSP_2_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"123","var_end_pos":"125","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 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Main activity status of the second spouse during the survey period (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.\nFamily responsibilities includes taking caring for children, the incapacitated or elderly.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe category 530, indicating those who are inactive because of disability, identifies as well some respondents who have been abroad at the time of survey, as defined in the raw data, those could not be separately classified.\nFor those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F1"},{"vid":"V56","name":"MASSP_3_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"126","var_end_pos":"128","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 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Main activity status of the third spouse during the survey period (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.\nFamily responsibilities includes taking caring for children, the incapacitated or elderly.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe category 530, indicating those who are inactive because of disability, identifies as well some respondents who have been abroad at the time of survey, as defined in the raw data, those could not be separately classified.\nFor those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F1"},{"vid":"V57","name":"EMPSHD","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"129","var_end_pos":"130","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 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Detailed description of the employment status of the head.","var_catgry":[{"value":"1","labl":"Employee","stats":null,"type":null},{"value":"2","labl":"Employer","stats":null,"type":null},{"value":"3","labl":"Own-account, self-employed","stats":null,"type":null},{"value":"4","labl":"Contributing (unpaid) family worker","stats":null,"type":null},{"value":"5","labl":"Members of producers cooperatives","stats":null,"type":null},{"value":"6","labl":"Workers not classifiable by status (other)","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\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----------------------------------\nFor those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded \"not stated\" since they did not effectively start working","fid":"F1"},{"vid":"V58","name":"EMPSSP_1","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"131","var_end_pos":"132","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 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Detailed description of the employment status of the first spouse.","var_catgry":[{"value":"1","labl":"Employee","stats":null,"type":null},{"value":"2","labl":"Employer","stats":null,"type":null},{"value":"3","labl":"Own-account, self-employed","stats":null,"type":null},{"value":"4","labl":"Contributing (unpaid) family worker","stats":null,"type":null},{"value":"5","labl":"Members of producers cooperatives","stats":null,"type":null},{"value":"6","labl":"Workers not classifiable by status (other)","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\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----------------------------------\nFor those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded \"not stated\" since they did not effectively start working","fid":"F1"},{"vid":"V59","name":"EMPSSP_2","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"133","var_end_pos":"134","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 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Detailed description of the employment status of the second spouse.","var_catgry":[{"value":"1","labl":"Employee","stats":null,"type":null},{"value":"2","labl":"Employer","stats":null,"type":null},{"value":"3","labl":"Own-account, self-employed","stats":null,"type":null},{"value":"4","labl":"Contributing (unpaid) family worker","stats":null,"type":null},{"value":"5","labl":"Members of producers cooperatives","stats":null,"type":null},{"value":"6","labl":"Workers not classifiable by status (other)","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\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----------------------------------\nFor those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded \"not stated\" since they did not effectively start working","fid":"F1"},{"vid":"V60","name":"EMPSSP_3","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"135","var_end_pos":"136","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 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Detailed description of the employment status of the third spouse.","var_catgry":[{"value":"1","labl":"Employee","stats":null,"type":null},{"value":"2","labl":"Employer","stats":null,"type":null},{"value":"3","labl":"Own-account, self-employed","stats":null,"type":null},{"value":"4","labl":"Contributing (unpaid) family worker","stats":null,"type":null},{"value":"5","labl":"Members of producers cooperatives","stats":null,"type":null},{"value":"6","labl":"Workers not classifiable by status (other)","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\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----------------------------------\nFor those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded \"not stated\" since they did not effectively start working","fid":"F1"},{"vid":"V61","name":"OCCHD","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"137","var_end_pos":"139","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 10+","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 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----------------------------------\nFor those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F1"},{"vid":"V62","name":"OCCSP_1","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"140","var_end_pos":"142","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 10+","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 of the first spouse.","var_catgry":[{"value":"10","labl":"Legislators, senior officials and managers","stats":null,"type":null},{"value":"20","labl":"Professionals","stats":null,"type":null},{"value":"30","labl":"Technicians and associate professionals","stats":null,"type":null},{"value":"40","labl":"Clerks","stats":null,"type":null},{"value":"50","labl":"Service workers and shop and market sales workers","stats":null,"type":null},{"value":"60","labl":"Skilled agricultural and fishery workers","stats":null,"type":null},{"value":"70","labl":"Craft and related trades workers","stats":null,"type":null},{"value":"80","labl":"Plant and machine operators, and assemblers","stats":null,"type":null},{"value":"90","labl":"Elementary occupations","stats":null,"type":null},{"value":"100","labl":"Armed forces","stats":null,"type":null},{"value":"998","labl":"Other\/unspecified","stats":null,"type":null},{"value":"999","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIn many datasets, national classifications are used to code the detailed data collected. In such cases, if the aggregated data is provided by the statistical office, no attempt to correct the original variable is done.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nFor those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F1"},{"vid":"V63","name":"OCCSP_2","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"143","var_end_pos":"145","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 10+","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 of the second spouse.","var_catgry":[{"value":"10","labl":"Legislators, senior officials and managers","stats":null,"type":null},{"value":"20","labl":"Professionals","stats":null,"type":null},{"value":"30","labl":"Technicians and associate professionals","stats":null,"type":null},{"value":"40","labl":"Clerks","stats":null,"type":null},{"value":"50","labl":"Service workers and shop and market sales workers","stats":null,"type":null},{"value":"60","labl":"Skilled agricultural and fishery workers","stats":null,"type":null},{"value":"70","labl":"Craft and related trades workers","stats":null,"type":null},{"value":"80","labl":"Plant and machine operators, and assemblers","stats":null,"type":null},{"value":"90","labl":"Elementary occupations","stats":null,"type":null},{"value":"100","labl":"Armed forces","stats":null,"type":null},{"value":"998","labl":"Other\/unspecified","stats":null,"type":null},{"value":"999","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIn many datasets, national classifications are used to code the detailed data collected. In such cases, if the aggregated data is provided by the statistical office, no attempt to correct the original variable is done.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nFor those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F1"},{"vid":"V64","name":"OCCSP_3","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"146","var_end_pos":"148","var_width":"3","var_rec_seg_no":"1","labl":"Occupation classification of the main job of the third spouse [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"10","max":"999"}],"var_universe":"Employed Spouses aged 10+","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 of the third spouse.","var_catgry":[{"value":"10","labl":"Legislators, senior officials and managers","stats":null,"type":null},{"value":"20","labl":"Professionals","stats":null,"type":null},{"value":"30","labl":"Technicians and associate professionals","stats":null,"type":null},{"value":"40","labl":"Clerks","stats":null,"type":null},{"value":"50","labl":"Service workers and shop and market sales workers","stats":null,"type":null},{"value":"60","labl":"Skilled agricultural and fishery workers","stats":null,"type":null},{"value":"70","labl":"Craft and related trades workers","stats":null,"type":null},{"value":"80","labl":"Plant and machine operators, and assemblers","stats":null,"type":null},{"value":"90","labl":"Elementary occupations","stats":null,"type":null},{"value":"100","labl":"Armed forces","stats":null,"type":null},{"value":"998","labl":"Other\/unspecified","stats":null,"type":null},{"value":"999","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIn many datasets, national classifications are used to code the detailed data collected. In such cases, if the aggregated data is provided by the statistical office, no attempt to correct the original variable is done.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nFor those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F1"},{"vid":"V65","name":"OCCHD_ISCO88_2","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"149","var_end_pos":"152","var_width":"4","var_rec_seg_no":"1","labl":"Occupation classification of the main job of the head [ISCO 1988-2 digits]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"9999"}],"var_universe":"Employed Spouses aged 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while the irregular one was coded private sector outside an establishment.\nThe sector for unpaid family workers was assumed to be private-families.\nFor those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F1"},{"vid":"V78","name":"SECTORSP_1","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"195","var_end_pos":"196","var_width":"2","var_rec_seg_no":"1","labl":"Sector of employment of the first spouse [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Employed Spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Sector of employment (i.e. private versus public sector workers) in the main job of the first spouse.","var_catgry":[{"value":"1","labl":"Government","stats":null,"type":null},{"value":"2","labl":"Public sector","stats":null,"type":null},{"value":"3","labl":"Private sector","stats":null,"type":null},{"value":"4","labl":"Joint\/Cooperative","stats":null,"type":null},{"value":"5","labl":"Foreign sector","stats":null,"type":null},{"value":"6","labl":"Other","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nQuasi-public sectors are considered as public. \nIn the case that there is no distinction between Government and Public, in the original survey, we use the classification as provided.\nCooperative includes employees in joint ventures.\nForeign includes workers in international NGOs.\nOthers includes workers in national NGOs and in private households.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe sector of employment generated using the variable pw23, originally indicating the employment status, is not reported for those who found a job and waiting to start, in addition to all other employed individuals for whom the employment status is employer or self-employed. \nThus, the generated variable for those who found a job is recoded \"not stated\", and the sector was assumed to be private for all employers and self-employed.\nRegular private sector was assumed to be inside an establishment; while the irregular one was coded private sector outside an establishment.\nThe sector for unpaid family workers was assumed to be private-families.\nFor those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F1"},{"vid":"V79","name":"SECTORSP_2","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"197","var_end_pos":"198","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 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Sector of employment (i.e. private versus public sector workers) 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 sector of employment generated using the variable pw23, originally indicating the employment status, is not reported for those who found a job and waiting to start, in addition to all other employed individuals for whom the employment status is employer or self-employed. \nThus, the generated variable for those who found a job is recoded \"not stated\", and the sector was assumed to be private for all employers and self-employed.\nRegular private sector was assumed to be inside an establishment; while the irregular one was coded private sector outside an establishment.\nThe sector for unpaid family workers was assumed to be private-families.\nFor those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F1"},{"vid":"V80","name":"SECTORSP_3","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"199","var_end_pos":"200","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 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Sector of employment (i.e. private versus public sector workers) 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 sector of employment generated using the variable pw23, originally indicating the employment status, is not reported for those who found a job and waiting to start, in addition to all other employed individuals for whom the employment status is employer or self-employed. \nThus, the generated variable for those who found a job is recoded \"not stated\", and the sector was assumed to be private for all employers and self-employed.\nRegular private sector was assumed to be inside an establishment; while the irregular one was coded private sector outside an establishment.\nThe sector for unpaid family workers was assumed to be private-families.\nFor those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F1"},{"vid":"V81","name":"SECTORHD_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"201","var_end_pos":"203","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 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"These variables distinguish between different types of public and private sector employment, as well as other types of sectors (foreign, cooperative, etc.).","var_catgry":[{"value":"100","labl":"Government","stats":null,"type":null},{"value":"110","labl":"Government- National","stats":null,"type":null},{"value":"120","labl":"Government- Foreign","stats":null,"type":null},{"value":"130","labl":"Government- Federal","stats":null,"type":null},{"value":"140","labl":"Government- Local","stats":null,"type":null},{"value":"200","labl":"Public sector","stats":null,"type":null},{"value":"210","labl":"Economic institutions","stats":null,"type":null},{"value":"300","labl":"Private sector","stats":null,"type":null},{"value":"310","labl":"Private investment","stats":null,"type":null},{"value":"320","labl":"Private- National","stats":null,"type":null},{"value":"321","labl":"Private- National inside establishment","stats":null,"type":null},{"value":"322","labl":"Private- National outside establishment","stats":null,"type":null},{"value":"330","labl":"Private- Foreign","stats":null,"type":null},{"value":"331","labl":"Private- Foreign inside establishment","stats":null,"type":null},{"value":"332","labl":"Private- Foreign outside establishment","stats":null,"type":null},{"value":"340","labl":"Private- Inside establishment","stats":null,"type":null},{"value":"350","labl":"Private- Outside establishment","stats":null,"type":null},{"value":"360","labl":"Private- Families","stats":null,"type":null},{"value":"400","labl":"Joint\/Cooperative","stats":null,"type":null},{"value":"410","labl":"Joint","stats":null,"type":null},{"value":"420","labl":"Cooperative","stats":null,"type":null},{"value":"430","labl":"Joint local sector","stats":null,"type":null},{"value":"500","labl":"Foreign sector","stats":null,"type":null},{"value":"510","labl":"Diplomatic bodies","stats":null,"type":null},{"value":"600","labl":"Others","stats":null,"type":null},{"value":"610","labl":"Non-governmental organizations","stats":null,"type":null},{"value":"620","labl":"Non-profit associations","stats":null,"type":null},{"value":"630","labl":"Charitable associations","stats":null,"type":null},{"value":"640","labl":"Outside establishment","stats":null,"type":null},{"value":"650","labl":"Outside the country","stats":null,"type":null},{"value":"660","labl":"UNRWA","stats":null,"type":null},{"value":"999","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe classification of those working inside or outside an establishment in different sectors can be further studied using the variable \"ESTAB\".\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe sector of employment generated using the variable pw23, originally indicating the employment status, is not reported for those who found a job and waiting to start, in addition to all other employed individuals for whom the employment status is employer or self-employed. \nThus, the generated variable for those who found a job is recoded \"not stated\", and the sector was assumed to be private for all employers and self-employed.\nRegular private sector was assumed to be inside an establishment; while the irregular one was coded private sector outside an establishment.\nThe sector for unpaid family workers was assumed to be private-families.\nFor those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F1"},{"vid":"V82","name":"SECTORSP_1_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"204","var_end_pos":"206","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 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"These variables distinguish between different types of public and private sector employment, as well as other types of sectors (foreign, cooperative, etc.).","var_catgry":[{"value":"100","labl":"Government","stats":null,"type":null},{"value":"110","labl":"Government- National","stats":null,"type":null},{"value":"120","labl":"Government- Foreign","stats":null,"type":null},{"value":"130","labl":"Government- Federal","stats":null,"type":null},{"value":"140","labl":"Government- Local","stats":null,"type":null},{"value":"200","labl":"Public sector","stats":null,"type":null},{"value":"210","labl":"Economic institutions","stats":null,"type":null},{"value":"300","labl":"Private sector","stats":null,"type":null},{"value":"310","labl":"Private investment","stats":null,"type":null},{"value":"320","labl":"Private- National","stats":null,"type":null},{"value":"321","labl":"Private- National inside establishment","stats":null,"type":null},{"value":"322","labl":"Private- National outside establishment","stats":null,"type":null},{"value":"330","labl":"Private- Foreign","stats":null,"type":null},{"value":"331","labl":"Private- Foreign inside establishment","stats":null,"type":null},{"value":"332","labl":"Private- Foreign outside establishment","stats":null,"type":null},{"value":"340","labl":"Private- Inside establishment","stats":null,"type":null},{"value":"350","labl":"Private- Outside establishment","stats":null,"type":null},{"value":"360","labl":"Private- Families","stats":null,"type":null},{"value":"400","labl":"Joint\/Cooperative","stats":null,"type":null},{"value":"410","labl":"Joint","stats":null,"type":null},{"value":"420","labl":"Cooperative","stats":null,"type":null},{"value":"430","labl":"Joint local sector","stats":null,"type":null},{"value":"500","labl":"Foreign sector","stats":null,"type":null},{"value":"510","labl":"Diplomatic bodies","stats":null,"type":null},{"value":"600","labl":"Others","stats":null,"type":null},{"value":"610","labl":"Non-governmental organizations","stats":null,"type":null},{"value":"620","labl":"Non-profit associations","stats":null,"type":null},{"value":"630","labl":"Charitable associations","stats":null,"type":null},{"value":"640","labl":"Outside establishment","stats":null,"type":null},{"value":"650","labl":"Outside the country","stats":null,"type":null},{"value":"660","labl":"UNRWA","stats":null,"type":null},{"value":"999","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe classification of those working inside or outside an establishment in different sectors can be further studied using the variable \"ESTAB\".\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe sector of employment generated using the variable pw23, originally indicating the employment status, is not reported for those who found a job and waiting to start, in addition to all other employed individuals for whom the employment status is employer or self-employed. \nThus, the generated variable for those who found a job is recoded \"not stated\", and the sector was assumed to be private for all employers and self-employed.\nRegular private sector was assumed to be inside an establishment; while the irregular one was coded private sector outside an establishment.\nThe sector for unpaid family workers was assumed to be private-families.\nFor those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F1"},{"vid":"V83","name":"SECTORSP_2_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"207","var_end_pos":"209","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 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"These variables distinguish between different types of public and private sector employment, as well as other types of sectors (foreign, cooperative, etc.).","var_catgry":[{"value":"100","labl":"Government","stats":null,"type":null},{"value":"110","labl":"Government- National","stats":null,"type":null},{"value":"120","labl":"Government- Foreign","stats":null,"type":null},{"value":"130","labl":"Government- Federal","stats":null,"type":null},{"value":"140","labl":"Government- Local","stats":null,"type":null},{"value":"200","labl":"Public sector","stats":null,"type":null},{"value":"210","labl":"Economic institutions","stats":null,"type":null},{"value":"300","labl":"Private sector","stats":null,"type":null},{"value":"310","labl":"Private investment","stats":null,"type":null},{"value":"320","labl":"Private- National","stats":null,"type":null},{"value":"321","labl":"Private- National inside establishment","stats":null,"type":null},{"value":"322","labl":"Private- National outside establishment","stats":null,"type":null},{"value":"330","labl":"Private- Foreign","stats":null,"type":null},{"value":"331","labl":"Private- Foreign inside establishment","stats":null,"type":null},{"value":"332","labl":"Private- Foreign outside establishment","stats":null,"type":null},{"value":"340","labl":"Private- Inside establishment","stats":null,"type":null},{"value":"350","labl":"Private- Outside establishment","stats":null,"type":null},{"value":"360","labl":"Private- Families","stats":null,"type":null},{"value":"400","labl":"Joint\/Cooperative","stats":null,"type":null},{"value":"410","labl":"Joint","stats":null,"type":null},{"value":"420","labl":"Cooperative","stats":null,"type":null},{"value":"430","labl":"Joint local sector","stats":null,"type":null},{"value":"500","labl":"Foreign sector","stats":null,"type":null},{"value":"510","labl":"Diplomatic bodies","stats":null,"type":null},{"value":"600","labl":"Others","stats":null,"type":null},{"value":"610","labl":"Non-governmental organizations","stats":null,"type":null},{"value":"620","labl":"Non-profit associations","stats":null,"type":null},{"value":"630","labl":"Charitable associations","stats":null,"type":null},{"value":"640","labl":"Outside establishment","stats":null,"type":null},{"value":"650","labl":"Outside the country","stats":null,"type":null},{"value":"660","labl":"UNRWA","stats":null,"type":null},{"value":"999","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe classification of those working inside or outside an establishment in different sectors can be further studied using the variable \"ESTAB\".\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe sector of employment generated using the variable pw23, originally indicating the employment status, is not reported for those who found a job and waiting to start, in addition to all other employed individuals for whom the employment status is employer or self-employed. \nThus, the generated variable for those who found a job is recoded \"not stated\", and the sector was assumed to be private for all employers and self-employed.\nRegular private sector was assumed to be inside an establishment; while the irregular one was coded private sector outside an establishment.\nThe sector for unpaid family workers was assumed to be private-families.\nFor those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F1"},{"vid":"V84","name":"SECTORSP_3_D","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"210","var_end_pos":"212","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 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"These variables distinguish between different types of public and private sector employment, as well as other types of sectors (foreign, cooperative, etc.).","var_catgry":[{"value":"100","labl":"Government","stats":null,"type":null},{"value":"110","labl":"Government- National","stats":null,"type":null},{"value":"120","labl":"Government- Foreign","stats":null,"type":null},{"value":"130","labl":"Government- Federal","stats":null,"type":null},{"value":"140","labl":"Government- Local","stats":null,"type":null},{"value":"200","labl":"Public sector","stats":null,"type":null},{"value":"210","labl":"Economic institutions","stats":null,"type":null},{"value":"300","labl":"Private sector","stats":null,"type":null},{"value":"310","labl":"Private investment","stats":null,"type":null},{"value":"320","labl":"Private- National","stats":null,"type":null},{"value":"321","labl":"Private- National inside establishment","stats":null,"type":null},{"value":"322","labl":"Private- National outside establishment","stats":null,"type":null},{"value":"330","labl":"Private- Foreign","stats":null,"type":null},{"value":"331","labl":"Private- Foreign inside establishment","stats":null,"type":null},{"value":"332","labl":"Private- Foreign outside establishment","stats":null,"type":null},{"value":"340","labl":"Private- Inside establishment","stats":null,"type":null},{"value":"350","labl":"Private- Outside establishment","stats":null,"type":null},{"value":"360","labl":"Private- Families","stats":null,"type":null},{"value":"400","labl":"Joint\/Cooperative","stats":null,"type":null},{"value":"410","labl":"Joint","stats":null,"type":null},{"value":"420","labl":"Cooperative","stats":null,"type":null},{"value":"430","labl":"Joint local sector","stats":null,"type":null},{"value":"500","labl":"Foreign sector","stats":null,"type":null},{"value":"510","labl":"Diplomatic bodies","stats":null,"type":null},{"value":"600","labl":"Others","stats":null,"type":null},{"value":"610","labl":"Non-governmental organizations","stats":null,"type":null},{"value":"620","labl":"Non-profit associations","stats":null,"type":null},{"value":"630","labl":"Charitable associations","stats":null,"type":null},{"value":"640","labl":"Outside establishment","stats":null,"type":null},{"value":"650","labl":"Outside the country","stats":null,"type":null},{"value":"660","labl":"UNRWA","stats":null,"type":null},{"value":"999","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe classification of those working inside or outside an establishment in different sectors can be further studied using the variable \"ESTAB\".\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe sector of employment generated using the variable pw23, originally indicating the employment status, is not reported for those who found a job and waiting to start, in addition to all other employed individuals for whom the employment status is employer or self-employed. \nThus, the generated variable for those who found a job is recoded \"not stated\", and the sector was assumed to be private for all employers and self-employed.\nRegular private sector was assumed to be inside an establishment; while the irregular one was coded private sector outside an establishment.\nThe sector for unpaid family workers was assumed to be private-families.\nFor those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F1"},{"vid":"V85","name":"TOTWAGHD","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"213","var_end_pos":"220","var_width":"8","var_rec_seg_no":"1","labl":"Total monthly wage from the regular main job of the head","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"23653.7999267578"}],"var_universe":"Waged Workers Heads aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates 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.\nTOTWAG=BASWAG+ADDWAG+ALLWNC+BONUS+INCENTV+PROFIT+OTHEARN\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----------------------------------\nOnly daily wages in shekel are provided. The daily wages were multiplied by the number of paid working days during the month preceding the survey (pw25) to generate monthly wages.","fid":"F1"},{"vid":"V86","name":"TOTWAGSP_1","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"221","var_end_pos":"228","var_width":"8","var_rec_seg_no":"1","labl":"Total monthly wage from the regular main job of the first spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"30153.5378417969"}],"var_universe":"Waged Workers Spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates 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.\nTOTWAG=BASWAG+ADDWAG+ALLWNC+BONUS+INCENTV+PROFIT+OTHEARN\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----------------------------------\nOnly daily wages in shekel are provided. The daily wages were multiplied by the number of paid working days during the month preceding the survey (pw25) to generate monthly wages.","fid":"F1"},{"vid":"V87","name":"TOTWAGSP_2","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"229","var_end_pos":"235","var_width":"7","var_rec_seg_no":"1","labl":"Total monthly wage from the regular main job of the second spouse","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"80","max":"2313.51573944092"}],"var_universe":"Waged Workers Spouses aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates 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.\nTOTWAG=BASWAG+ADDWAG+ALLWNC+BONUS+INCENTV+PROFIT+OTHEARN\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----------------------------------\nOnly daily wages in shekel are provided. The daily wages were multiplied by the number of paid working days during the month preceding the survey (pw25) to generate monthly wages.","fid":"F1"},{"vid":"V88","name":"TOTWAGSP_3","file_id":"F1","var_dcml":"2","var_intrvl":"discrete","var_start_pos":"236","var_end_pos":"239","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 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates 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.\nTOTWAG=BASWAG+ADDWAG+ALLWNC+BONUS+INCENTV+PROFIT+OTHEARN\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----------------------------------\nOnly daily wages in shekel are provided. The daily wages were multiplied by the number of paid working days during the month preceding the survey (pw25) to generate monthly wages.","fid":"F1"},{"vid":"V89","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":"12","labl":"Algeria","stats":null,"type":null},{"value":"48","labl":"Bahrain","stats":null,"type":null},{"value":"262","labl":"Djibouti","stats":null,"type":null},{"value":"275","labl":"Palestine","stats":null,"type":null},{"value":"368","labl":"Iraq","stats":null,"type":null},{"value":"400","labl":"Jordan","stats":null,"type":null},{"value":"414","labl":"Kuwait","stats":null,"type":null},{"value":"422","labl":"Lebanon","stats":null,"type":null},{"value":"434","labl":"Libya","stats":null,"type":null},{"value":"478","labl":"Mauritania","stats":null,"type":null},{"value":"504","labl":"Morocco","stats":null,"type":null},{"value":"512","labl":"Oman","stats":null,"type":null},{"value":"634","labl":"Qatar","stats":null,"type":null},{"value":"682","labl":"Saudi Arabia","stats":null,"type":null},{"value":"729","labl":"Sudan","stats":null,"type":null},{"value":"760","labl":"Syrian Arab Republic","stats":null,"type":null},{"value":"784","labl":"United Arab Emirates","stats":null,"type":null},{"value":"788","labl":"Tunisia","stats":null,"type":null},{"value":"818","labl":"Egypt","stats":null,"type":null},{"value":"887","labl":"Yemen","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":"V90","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":"2007","max":"2007"}],"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":"V91","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.","fid":"F2"},{"vid":"V92","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 2 since the data is panel.\nA check on paneled households and individuals was conducted.\nSome inconsistencies were detected across rounds in paneled observations. \nOnly some cases could be corrected, particularly in time-invariant characteristics, however the most appropriate method to deal with the rest was left to the user's judgement.","fid":"F2"},{"vid":"V93","name":"DREP","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"10","var_end_pos":"11","var_width":"2","var_rec_seg_no":"1","labl":"Household repetition over rounds","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"34"}],"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":"For the panel as well as the fresh sample, this variable should indicate the round(s) over which a certain household was interviewed.","var_catgry":[{"value":"1","labl":"First round only","stats":null,"type":null},{"value":"2","labl":"Second round only","stats":null,"type":null},{"value":"3","labl":"Third round only","stats":null,"type":null},{"value":"4","labl":"Fourth round only","stats":null,"type":null},{"value":"12","labl":"First and second rounds","stats":null,"type":null},{"value":"13","labl":"First and third rounds","stats":null,"type":null},{"value":"14","labl":"First and fourth rounds","stats":null,"type":null},{"value":"23","labl":"Second and third rounds","stats":null,"type":null},{"value":"24","labl":"Second and fourth rounds","stats":null,"type":null},{"value":"34","labl":"Third and fourth rounds","stats":null,"type":null}],"var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThis variable is generated only in the case of panel data. In case of cross-sectional data, this variable should typically be similar to the \"ROUND\" variable.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nGenerated by ERF","fid":"F2"},{"vid":"V94","name":"CASESER","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"12","var_end_pos":"17","var_width":"6","var_rec_seg_no":"1","labl":"Unique household identifier","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"600","max":"471883"}],"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----------------------------------","fid":"F2"},{"vid":"V95","name":"HPNLID","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"18","var_end_pos":"23","var_width":"6","var_rec_seg_no":"1","labl":"Household panel identifier","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"701","max":"923722"}],"var_universe":"Paneled 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 the identifiers of paneled households only, either those observed across different rounds during the survey year or across two successive years, depending on the sampling design.","var_codeinstr":"Generated by ERF","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThis identifier should be available for the paneled households only, and is unique within EACH round. It should be used to merge the panel data of households observed over several rounds. In some datasets, for the paneled households only, this variable might be similar to CASESER.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nProvided for paneled households and individuals only","fid":"F2"},{"vid":"V96","name":"HWEIGHT","file_id":"F2","var_dcml":"2","var_intrvl":"contin","var_start_pos":"24","var_end_pos":"29","var_width":"6","var_rec_seg_no":"1","labl":"Household weight","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1.60569715142429","max":"111.963654033042"}],"var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Data provider household weight.","var_codeinstr":"Original survey variable renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe household weight can correct just for sample bias, or also for non-sampling errors (such as response bias and adjustment to population distribution). In many cases, the weight is a population weight, which means that the weight will inflate the result to reflect the total population. \nWe strongly recommend that all statistical analysis be performed using the data weights.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V97","name":"PNUM","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"30","var_end_pos":"31","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":"V98","name":"PPNLID","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"32","var_end_pos":"33","var_width":"2","var_rec_seg_no":"1","labl":"Individual panel identifier","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"20"}],"var_universe":"Paneled 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 contains the panel identification number of all surveyed individuals over more than one round during the survey year (or across two successive surveys).","var_codeinstr":"Original survey variable renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThis variable, in addition to HPNLID, is used to track paneled individuals only across the survey rounds\/years. Thus, this identifier should be available for the paneled individuals only, and is unique within EACH round\/household. \nIt should be used, together with the HPNLID, to merge the panel data of the individuals interviewed over several rounds. \nIn some datasets, for the paneled individuals only, this variable might be similar to PNUM.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nGenerated for paneled individuals only","fid":"F2"},{"vid":"V99","name":"PWEIGHT","file_id":"F2","var_dcml":"2","var_intrvl":"contin","var_start_pos":"34","var_end_pos":"38","var_width":"5","var_rec_seg_no":"1","labl":"Individual weight","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"5.14732122421265","max":"95.3369979858398"}],"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":"V100","name":"REG","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"39","var_end_pos":"44","var_width":"6","var_rec_seg_no":"1","labl":"Region","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"275001","max":"275002"}],"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":"275001","labl":"West bank","stats":null,"type":null},{"value":"275002","labl":"Gaza strip","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":"V101","name":"AREA","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"45","var_end_pos":"50","var_width":"6","var_rec_seg_no":"1","labl":"Area","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"275001","max":"275075"}],"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":"Second geographical variable identifying another aspect of the location of the unit not described in REG such as city or village.","var_catgry":[{"value":"275001","labl":"Jenin","stats":null,"type":null},{"value":"275005","labl":"Tubas","stats":null,"type":null},{"value":"275010","labl":"Tulkarm","stats":null,"type":null},{"value":"275015","labl":"Nablus","stats":null,"type":null},{"value":"275020","labl":"Qalqilia","stats":null,"type":null},{"value":"275025","labl":"Salfit","stats":null,"type":null},{"value":"275030","labl":"Ramallah","stats":null,"type":null},{"value":"275035","labl":"Jericho","stats":null,"type":null},{"value":"275040","labl":"Jerusalem","stats":null,"type":null},{"value":"275045","labl":"Bethlehem","stats":null,"type":null},{"value":"275050","labl":"Hebron","stats":null,"type":null},{"value":"275055","labl":"North Gaza","stats":null,"type":null},{"value":"275060","labl":"Gaza city","stats":null,"type":null},{"value":"275065","labl":"Deir Al-Balah","stats":null,"type":null},{"value":"275070","labl":"Khan Yunis","stats":null,"type":null},{"value":"275075","labl":"Rafah","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":"V102","name":"RURURB","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"51","var_end_pos":"51","var_width":"1","var_rec_seg_no":"1","labl":"Urban\/Rural residence","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"2"}],"var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Indicates whether the region is urban\/rural.","var_catgry":[{"value":"0","labl":"Rural","stats":null,"type":null},{"value":"1","labl":"Urban","stats":null,"type":null},{"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\".\t\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V103","name":"AGE","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"52","var_end_pos":"54","var_width":"3","var_rec_seg_no":"1","labl":"Age","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"10","max":"110"}],"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\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V104","name":"SEX","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"55","var_end_pos":"55","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\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V105","name":"MART","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"56","var_end_pos":"57","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 12+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Legal administrative status concerning marriage & partnership (even if not married, 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----------------------------------\nIn the raw data, an aggregated \"other\" category is provided to indicate the divorced, separated or widowed. To split the original category, those younger than 60 years of age were assumed to be divorced\/separated, while those aged 60 years or older were assumed to be widowed.","fid":"F2"},{"vid":"V106","name":"MART_D","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"58","var_end_pos":"60","var_width":"3","var_rec_seg_no":"1","labl":"Marital status [Detailed version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"100","max":"999"}],"var_universe":"Individuals aged 12+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"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----------------------------------\nIn the raw data, an aggregated \"other\" category is provided to indicate the divorced, separated or widowed. To split the original category, those younger than 60 years of age were assumed to be divorced\/separated, while those aged 60 years or older were assumed to be widowed.","fid":"F2"},{"vid":"V107","name":"REL","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"61","var_end_pos":"61","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\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V108","name":"REL_D","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"62","var_end_pos":"64","var_width":"3","var_rec_seg_no":"1","labl":"Relationship to head [Detailed version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"100","max":"850"}],"var_universe":"All individuals","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Relationship to the head of household, where the value '100' always stands for the head of the household him\/herself. Detailed coding indicates different relations for other relatives and other non-relatives to the head.","var_catgry":[{"value":"100","labl":"Head of household","stats":null,"type":null},{"value":"200","labl":"Spouse","stats":null,"type":null},{"value":"300","labl":"Son\/daughter","stats":null,"type":null},{"value":"310","labl":"Adopted children","stats":null,"type":null},{"value":"400","labl":"Father\/mother (parents)","stats":null,"type":null},{"value":"500","labl":"Brother\/sister","stats":null,"type":null},{"value":"600","labl":"Grandchildren","stats":null,"type":null},{"value":"700","labl":"Other relatives","stats":null,"type":null},{"value":"710","labl":"Son\/daughter in law","stats":null,"type":null},{"value":"720","labl":"Grandparents","stats":null,"type":null},{"value":"730","labl":"Father\/mother in law","stats":null,"type":null},{"value":"740","labl":"Brother\/sister in law","stats":null,"type":null},{"value":"750","labl":"Nephew\/niece","stats":null,"type":null},{"value":"800","labl":"Other non-relatives","stats":null,"type":null},{"value":"810","labl":"Servants","stats":null,"type":null},{"value":"820","labl":"Doorkeeper","stats":null,"type":null},{"value":"830","labl":"Driver","stats":null,"type":null},{"value":"840","labl":"Shepherd","stats":null,"type":null},{"value":"850","labl":"Farmer","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V109","name":"LIT","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":"Literacy status","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Individuals aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates whether the individual is or is not literate (can read and write).","var_catgry":[{"value":"0","labl":"No","stats":null,"type":null},{"value":"1","labl":"Can read & write","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nAn individual is considered literate if he\/she can both read and write and not just one or the other. A semi-literate individual (one who can read, but cannot write) is said to be illiterate. In the case where the survey only asks whether an individual can read but does not ask if they can write, and in the case that there is no information in the questionnaire about the reading and writing ability, the literacy status cannot be determined, and these are coded as missing. \nIf there are no questions about the reading and writing abilities, but the educational attainment is elementary or upper, the individual is considered literate.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V110","name":"EVERATTD","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":"Ever attended school","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Individuals aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates whether the individual has ever attended school - academic, Koranic, or any other formal or informal education.","var_catgry":[{"value":"0","labl":"No","stats":null,"type":null},{"value":"1","labl":"Yes","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThis variable is valid for all individuals in the pre-primary school age or above while it is coded missing for others. Primary school age will vary by country.\nThis is a country-specific standard that depends on how school attendance is defined. Pre-school may be included here. Also, in some countries, the ever attended school variable could be coded yes even if the individual has attended school for a minimum amount of time. The differences need to be carefully documented.\nOne is not required to have completed any level of education to answer this question positively.\nBy logic, EVERATTD, EDUC and ATTSCH have the following relationship: \nIf ATTSCH=1, EVERATTD=1\nIf EDUC>=2 (and ? 99), EVERATTD=1 \nIf EDUC=99 & ATTSCH=0, EVERATTD=0\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V111","name":"ATTSCH","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":"School attendance status","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Individuals aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates whether the individual is 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":"V112","name":"EDUC","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":"Educational level [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Individuals aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This variable should indicate the highest level of education attained\/ completed.","var_catgry":[{"value":"1","labl":"None","stats":null,"type":null},{"value":"2","labl":"Primary\/Lower secondary","stats":null,"type":null},{"value":"3","labl":"Secondary","stats":null,"type":null},{"value":"4","labl":"Post secondary or equivalent","stats":null,"type":null},{"value":"5","labl":"University","stats":null,"type":null},{"value":"6","labl":"Postgraduate","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThis variable is generated based on the highest educational attainment variable.\nPrimary corresponds to elementary, and lower secondary to preparatory\/second stage of basic education.\nIf there is no information on the highest level of education completed, the variable can be constructed using the diploma level, and the years of education, if available. \nWhen using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attended minus one (1).\nThis is country specific - not all countries require the same number of school years to complete a given level.\nThe value \"None\" does not mean that the individual never attended school; it means that the individual did not complete the first level of education (elementary). \n\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----------------------------------","fid":"F2"},{"vid":"V113","name":"EDUC_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":"Educational level [Detailed version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"100","max":"999"}],"var_universe":"Individuals aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Highest level of education attained (detailed version of coding).","var_catgry":[{"value":"100","labl":"None","stats":null,"type":null},{"value":"110","labl":"Illiterate","stats":null,"type":null},{"value":"120","labl":"Read only","stats":null,"type":null},{"value":"130","labl":"Read & write","stats":null,"type":null},{"value":"140","labl":"Literacy classes\/certificate","stats":null,"type":null},{"value":"150","labl":"Never attended school","stats":null,"type":null},{"value":"160","labl":"KG","stats":null,"type":null},{"value":"170","labl":"Koranic KG (Kouttab)","stats":null,"type":null},{"value":"180","labl":"Attending elementary school and did not complete first level","stats":null,"type":null},{"value":"200","labl":"Primary\/Lower secondary","stats":null,"type":null},{"value":"210","labl":"Primary","stats":null,"type":null},{"value":"220","labl":"Preparatory","stats":null,"type":null},{"value":"230","labl":"Lower secondary","stats":null,"type":null},{"value":"240","labl":"Professional\/Vocational below secondary education","stats":null,"type":null},{"value":"300","labl":"Secondary","stats":null,"type":null},{"value":"310","labl":"Academic secondary","stats":null,"type":null},{"value":"320","labl":"Professional\/Vocational secondary","stats":null,"type":null},{"value":"400","labl":"Post secondary or equivalent","stats":null,"type":null},{"value":"500","labl":"University","stats":null,"type":null},{"value":"600","labl":"Postgraduate","stats":null,"type":null},{"value":"610","labl":"High diploma","stats":null,"type":null},{"value":"620","labl":"Masters","stats":null,"type":null},{"value":"630","labl":"PhD","stats":null,"type":null},{"value":"999","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V114","name":"YEDUC","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"76","var_end_pos":"77","var_width":"2","var_rec_seg_no":"1","labl":"Number of effective years of schooling","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"25"}],"var_universe":"Individuals aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This 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----------------------------------","fid":"F2"},{"vid":"V115","name":"ENROL","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"78","var_end_pos":"79","var_width":"2","var_rec_seg_no":"1","labl":"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 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This variable 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 for those reported as currently attending school in the school attendance status.\nThe variable is generated using the highest level of education attained+1, therefore it is only generated for individuals aged 10+, i.e., if the highest level attained is primary for example, normally the individual should be attending in preparatory, except for postgraduates who remained postgraduates since no higher levels could be attained \nThose who were illiterate and are currently students were recoded into \u201cother\u201d education together with those indicated \u201cread and write\u201d in the educational status, except for individuals aged 16 years of age or younger still eligible to enroll in primary education, were reported to be in primary education.\n \u201cSecondary\u201d and \u201cIntermediate college\u201d graduates\u201d were classified into \u201cuniversity\u201d since no distinction between academic\/vocational\/ technical secondary is available.","fid":"F2"},{"vid":"V116","name":"LFS","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"80","var_end_pos":"81","var_width":"2","var_rec_seg_no":"1","labl":"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 10+","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":"V117","name":"MAS","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"82","var_end_pos":"83","var_width":"2","var_rec_seg_no":"1","labl":"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 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Main activity status with respect to the labor force, which distinguishes between the employed and the not employed. The employed are those for whom work is the main activity, while for all the others the main activity should attempt to distinguish between pensioners, students, and homemakers.","var_catgry":[{"value":"1","labl":"Employed","stats":null,"type":null},{"value":"2","labl":"Unemployed","stats":null,"type":null},{"value":"3","labl":"Homemaker (Housewife)","stats":null,"type":null},{"value":"4","labl":"Student","stats":null,"type":null},{"value":"5","labl":"Pensioners\/retired\/disabled","stats":null,"type":null},{"value":"6","labl":"Others","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nUnlike LFS, the main distinction in MAS is between \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 seek employment\", and who report that they are unemployed. \n - Not in Labor Force \/ Inactive \u2013 individuals identifiable as being neither employed nor unemployed, by the definitions above. If possible, the inactive category should distinguish between the retired, students, homemakers, pensioners, disabled, etc.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V118","name":"MAS_D","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"84","var_end_pos":"86","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 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Main activity status with respect to the 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.\nFamily responsibilities includes taking caring for children, the incapacitated or elderly.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe category 530, indicating those who are inactive because of disability, identifies as well some respondents who have been abroad at the time of survey, as defined in the raw data, those could not be separately classified.\nFor those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F2"},{"vid":"V119","name":"EMPS","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"87","var_end_pos":"88","var_width":"2","var_rec_seg_no":"1","labl":"Status of employment 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 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Detailed description of the employment status (employee, own-account workers, employer, unpaid family worker, etc.) in 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----------------------------------\nFor those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F2"},{"vid":"V120","name":"OCC","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"89","var_end_pos":"91","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 10+","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\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nFor those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F2"},{"vid":"V121","name":"OCC_ISCO88_2","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"92","var_end_pos":"95","var_width":"4","var_rec_seg_no":"1","labl":"Occupation classification of the main job [ISCO 1988-2 digits]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"9999"}],"var_universe":"Employed individuals aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Occupation classification of the main job, following the 2-digits International Standard Classification of Occupations for the year 1988 (ISCO-88).","var_catgry":[{"value":"1","labl":"Armed forces","stats":null,"type":null},{"value":"11","labl":"Legislators and senior officials","stats":null,"type":null},{"value":"12","labl":"Corporate managers","stats":null,"type":null},{"value":"13","labl":"General managers","stats":null,"type":null},{"value":"21","labl":"Physical, mathematical and engineering science professionals","stats":null,"type":null},{"value":"22","labl":"Life science and health professionals","stats":null,"type":null},{"value":"23","labl":"Teaching professionals","stats":null,"type":null},{"value":"24","labl":"Other professionals","stats":null,"type":null},{"value":"31","labl":"Physical and engineering science associate professionals","stats":null,"type":null},{"value":"32","labl":"Life science and health associate professionals","stats":null,"type":null},{"value":"33","labl":"Teaching associate professionals","stats":null,"type":null},{"value":"34","labl":"Other associate professionals","stats":null,"type":null},{"value":"41","labl":"Office clerks","stats":null,"type":null},{"value":"42","labl":"Customer services clerks","stats":null,"type":null},{"value":"51","labl":"Personal and protective services workers","stats":null,"type":null},{"value":"52","labl":"Models, salespersons and demonstrators","stats":null,"type":null},{"value":"61","labl":"Market-oriented skilled agricultural and fishery workers","stats":null,"type":null},{"value":"62","labl":"Subsistence agricultural and fishery workers","stats":null,"type":null},{"value":"71","labl":"Extraction and building trades workers","stats":null,"type":null},{"value":"72","labl":"Metal, machinery and related trades workers","stats":null,"type":null},{"value":"73","labl":"Precision, handicraft, printing and related trades workers","stats":null,"type":null},{"value":"74","labl":"Other craft and related trades workers","stats":null,"type":null},{"value":"81","labl":"Stationary-plant and related operators","stats":null,"type":null},{"value":"82","labl":"Machine operators and assemblers","stats":null,"type":null},{"value":"83","labl":"Drivers and mobile-plant operators","stats":null,"type":null},{"value":"91","labl":"Sales and services elementary occupations","stats":null,"type":null},{"value":"92","labl":"Agricultural, fishery and related laborers","stats":null,"type":null},{"value":"93","labl":"Laborers in mining, construction, manufacturing and transpor","stats":null,"type":null},{"value":"9998","labl":"Unspecified code","stats":null,"type":null},{"value":"9999","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nFor those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F2"},{"vid":"V122","name":"IND","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"96","var_end_pos":"98","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 10+","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\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nFor those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F2"},{"vid":"V123","name":"IND_ISIC3_2","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"99","var_end_pos":"102","var_width":"4","var_rec_seg_no":"1","labl":"Economic activity classification of the main job [ISIC Rev.3-2 digits]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"9999"}],"var_universe":"Employed individuals aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Economic activity classification of the main job, following the 2-digits International Standard Industrial Classification of All Economic Activities, Revision 3 (ISIC Rev.3).","var_catgry":[{"value":"1","labl":"Agriculture, hunting and related service activities","stats":null,"type":null},{"value":"2","labl":"Forestry, logging and related service activities","stats":null,"type":null},{"value":"5","labl":"Fishing, operation of fish hatcheries and fish farms; servic","stats":null,"type":null},{"value":"10","labl":"Mining of coal and lignite; extraction of peat","stats":null,"type":null},{"value":"11","labl":"Extraction of crude petroleum & natural gas; service activit","stats":null,"type":null},{"value":"12","labl":"Mining of uranium and thorium ores","stats":null,"type":null},{"value":"13","labl":"Mining of metal ores","stats":null,"type":null},{"value":"14","labl":"Other mining and quarrying","stats":null,"type":null},{"value":"15","labl":"Manufacture of food products and beverages","stats":null,"type":null},{"value":"16","labl":"Manufacture of tobacco products","stats":null,"type":null},{"value":"17","labl":"Manufacture of textiles","stats":null,"type":null},{"value":"18","labl":"Manufacture of wearing apparel; dressing and dyeing of fur","stats":null,"type":null},{"value":"19","labl":"Tanning and dressing of leather; manufacture of luggage, han","stats":null,"type":null},{"value":"20","labl":"Manufacture of wood\/cork and its products, except furniture;","stats":null,"type":null},{"value":"21","labl":"Manufacture of paper and paper products","stats":null,"type":null},{"value":"22","labl":"Publishing, printing and reproduction of recorded media","stats":null,"type":null},{"value":"23","labl":"Manufacture of coke, refined petroleum products and nuclear","stats":null,"type":null},{"value":"24","labl":"Manufacture of chemicals and chemical products","stats":null,"type":null},{"value":"25","labl":"Manufacture of rubber and plastics products","stats":null,"type":null},{"value":"26","labl":"Manufacture of other non-metallic mineral products","stats":null,"type":null},{"value":"27","labl":"Manufacture of basic metals","stats":null,"type":null},{"value":"28","labl":"Manufacture of fabricated metal products, except machinery a","stats":null,"type":null},{"value":"29","labl":"Manufacture of machinery and equipment n.e.c.","stats":null,"type":null},{"value":"30","labl":"Manufacture of office, accounting and computing machinery","stats":null,"type":null},{"value":"31","labl":"Manufacture of electrical machinery and apparatus n.e.c.","stats":null,"type":null},{"value":"32","labl":"Manufacture of radio, television and communication equipment","stats":null,"type":null},{"value":"33","labl":"Manufacture of medical, precision and optical instruments, w","stats":null,"type":null},{"value":"34","labl":"Manufacture of motor vehicles, trailers and semi-trailers","stats":null,"type":null},{"value":"35","labl":"Manufacture of other transport equipment","stats":null,"type":null},{"value":"36","labl":"Manufacture of furniture; manufacturing n.e.c.","stats":null,"type":null},{"value":"37","labl":"Recycling","stats":null,"type":null},{"value":"40","labl":"Electricity, gas, steam and hot water supply","stats":null,"type":null},{"value":"41","labl":"Collection, purification and distribution of water","stats":null,"type":null},{"value":"45","labl":"Construction","stats":null,"type":null},{"value":"50","labl":"Sale, maintenance and repair of motor vehicles and motorcycl","stats":null,"type":null},{"value":"51","labl":"Wholesale trade and commission trade, except of motor vehicl","stats":null,"type":null},{"value":"52","labl":"Retail trade, except of motor vehicles and motorcycles; repa","stats":null,"type":null},{"value":"55","labl":"Hotels and restaurants","stats":null,"type":null},{"value":"60","labl":"Land transport; transport via pipelines","stats":null,"type":null},{"value":"61","labl":"Water transport","stats":null,"type":null},{"value":"62","labl":"Air transport","stats":null,"type":null},{"value":"63","labl":"Supporting and auxiliary transport activities; activities of","stats":null,"type":null},{"value":"64","labl":"Post and telecommunications","stats":null,"type":null},{"value":"65","labl":"Financial intermediation, except insurance and pension fundi","stats":null,"type":null},{"value":"66","labl":"Insurance and pension funding, except compulsory social secu","stats":null,"type":null},{"value":"67","labl":"Activities auxiliary to financial intermediation","stats":null,"type":null},{"value":"70","labl":"Real estate activities","stats":null,"type":null},{"value":"71","labl":"Renting of machinery and equipment without operator and of p","stats":null,"type":null},{"value":"72","labl":"Computer and related activities","stats":null,"type":null},{"value":"73","labl":"Research and development","stats":null,"type":null},{"value":"74","labl":"Other business activities","stats":null,"type":null},{"value":"75","labl":"Public administration and defense; compulsory social securit","stats":null,"type":null},{"value":"80","labl":"Education","stats":null,"type":null},{"value":"85","labl":"Health and social work","stats":null,"type":null},{"value":"90","labl":"Sewage and refuse disposal, sanitation and similar activitie","stats":null,"type":null},{"value":"91","labl":"Activities of membership organizations n.e.c.","stats":null,"type":null},{"value":"92","labl":"Recreational, cultural and sporting activities","stats":null,"type":null},{"value":"93","labl":"Other service activities","stats":null,"type":null},{"value":"95","labl":"Private households with employed persons","stats":null,"type":null},{"value":"99","labl":"Extra-territorial organizations and bodies","stats":null,"type":null},{"value":"9998","labl":"Unspecified code","stats":null,"type":null},{"value":"9999","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nFor those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F2"},{"vid":"V124","name":"SECTOR","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"103","var_end_pos":"104","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 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Sector of employment (i.e. private versus public sector workers) 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 sector of employment generated using the variable pw23, originally indicating the employment status, is not reported for those who found a job and waiting to start, in addition to all other employed individuals for whom the employment status is employer or self-employed. \nThus, the generated variable for those who found a job is recoded \"not stated\", and the sector was assumed to be private for all employers and self-employed.\nRegular private sector was assumed to be inside an establishment; while the irregular one was coded private sector outside an establishment.\nThe sector for unpaid family workers was assumed to be private-families.\nFor those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F2"},{"vid":"V125","name":"SECTOR_D","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"105","var_end_pos":"107","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 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This variable 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 sector of employment generated using the variable pw23, originally indicating the employment status, is not reported for those who found a job and waiting to start, in addition to all other employed individuals for whom the employment status is employer or self-employed. \nThus, the generated variable for those who found a job is recoded \"not stated\", and the sector was assumed to be private for all employers and self-employed.\nRegular private sector was assumed to be inside an establishment; while the irregular one was coded private sector outside an establishment.\nThe sector for unpaid family workers was assumed to be private-families.\nFor those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F2"},{"vid":"V126","name":"GWRKPLC","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"108","var_end_pos":"113","var_width":"6","var_rec_seg_no":"1","labl":"Geographical workplace of the main job","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"275001","max":"999999"}],"var_universe":"Employed individuals aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This variable provides information about the geographical place of work (e.g. district\/ governorate\/ region) of the main job.","var_catgry":[{"value":"275001","labl":"West bank","stats":null,"type":null},{"value":"275002","labl":"Gaza strip","stats":null,"type":null},{"value":"275003","labl":"Israel, camps or industrial borders","stats":null,"type":null},{"value":"777777","labl":"Working abroad","stats":null,"type":null},{"value":"888888","labl":"Mobile workers","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----------------------\nThe geographical workplace is generated using the highest level of aggregation provided in the original data, and broke down by urban\/rural if possible.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe variable pw18, as provided in the raw data, identifies those who are working in the west bank, Gaza strip, Israel or abroad.\nFor those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded \"not stated\" since they did not effectively start working.","fid":"F2"},{"vid":"V127","name":"HRSWK","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"114","var_end_pos":"116","var_width":"3","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":"137"}],"var_universe":"Employed individuals aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This variable 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 number of weekly working hours provided in variable pw06 aggregates the total number of hours worked in all jobs (main, secondary, irregular, ..etc.).\nIt is not reported for those who are employed but temporary absent from their work (MAS_D=110), or temporary unpaid (MAS_D=132). Thus, the generated variable for those cases is recoded \"0\".","fid":"F2"},{"vid":"V128","name":"FHRSWK_R_01","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"117","var_end_pos":"117","var_width":"1","var_rec_seg_no":"1","labl":"Reason for few weekly working hours is official working hours < threshold","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"Employed individuals aged 10+ and working weekly less than 35 hours","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This set of variables should provide the reason(s) for which an individual reported weekly working hours below a country specific threshold.","var_catgry":[{"value":"0","labl":"No","stats":null,"type":null},{"value":"1","labl":"Yes","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe threshold used in such a variable may vary from one dataset to another. The variable's universe will denote the threshold used in each country. Some of the reasons reported are called \"involuntary reasons.\" They can be used with the criterion of usually working for hours below a certain threshold to define the \"visible underemployment.\"\t\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the reason for which an employee is working less than 35 hours weekly (pw07) is not reported for those who are employed but temporary absent from their work (MAS_D=110), or temporary unpaid (MAS_D=132). Thus, the main reason for the \"zero\" number of working hours reported for those cases will be \"temporary absent from work\".","fid":"F2"},{"vid":"V129","name":"FHRSWK_R_03","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"118","var_end_pos":"118","var_width":"1","var_rec_seg_no":"1","labl":"Reason for few weekly working hours is strike\/Closure","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"Employed individuals aged 10+ and working weekly less than 35 hours","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This set of variables should provide the reason(s) for which an individual reported weekly working hours below a country specific threshold.","var_catgry":[{"value":"0","labl":"No","stats":null,"type":null},{"value":"1","labl":"Yes","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe threshold used in such a variable may vary from one dataset to another. The variable's universe will denote the threshold used in each country. Some of the reasons reported are called \"involuntary reasons.\" They can be used with the criterion of usually working for hours below a certain threshold to define the \"visible underemployment.\"\t\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the reason for which an employee is working less than 35 hours weekly (pw07) is not reported for those who are employed but temporary absent from their work (MAS_D=110), or temporary unpaid (MAS_D=132). Thus, the main reason for the \"zero\" number of working hours reported for those cases will be \"temporary absent from work\".","fid":"F2"},{"vid":"V130","name":"FHRSWK_R_04","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"119","var_end_pos":"119","var_width":"1","var_rec_seg_no":"1","labl":"Reason for few weekly working hours is unavailability of additional work","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"Employed individuals aged 10+ and working weekly less than 35 hours","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This set of variables should provide the reason(s) for which an individual reported weekly working hours below a country specific threshold.","var_catgry":[{"value":"0","labl":"No","stats":null,"type":null},{"value":"1","labl":"Yes","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe threshold used in such a variable may vary from one dataset to another. The variable's universe will denote the threshold used in each country. Some of the reasons reported are called \"involuntary reasons.\" They can be used with the criterion of usually working for hours below a certain threshold to define the \"visible underemployment.\"\t\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the reason for which an employee is working less than 35 hours weekly (pw07) is not reported for those who are employed but temporary absent from their work (MAS_D=110), or temporary unpaid (MAS_D=132). Thus, the main reason for the \"zero\" number of working hours reported for those cases will be \"temporary absent from work\".","fid":"F2"},{"vid":"V131","name":"FHRSWK_R_07","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"120","var_end_pos":"120","var_width":"1","var_rec_seg_no":"1","labl":"Reason for few weekly working hours is family\/Personal responsibilities","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"Employed individuals aged 10+ and working weekly less than 35 hours","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This set of variables should provide the reason(s) for which an individual reported weekly working hours below a country specific threshold.","var_catgry":[{"value":"0","labl":"No","stats":null,"type":null},{"value":"1","labl":"Yes","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe threshold used in such a variable may vary from one dataset to another. The variable's universe will denote the threshold used in each country. Some of the reasons reported are called \"involuntary reasons.\" They can be used with the criterion of usually working for hours below a certain threshold to define the \"visible underemployment.\"\t\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the reason for which an employee is working less than 35 hours weekly (pw07) is not reported for those who are employed but temporary absent from their work (MAS_D=110), or temporary unpaid (MAS_D=132). Thus, the main reason for the \"zero\" number of working hours reported for those cases will be \"temporary absent from work\".","fid":"F2"},{"vid":"V132","name":"FHRSWK_R_08","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":"Reason for few weekly working hours is temporary absence from work","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"Employed individuals aged 10+ and working weekly less than 35 hours","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This set of variables should provide the reason(s) for which an individual reported weekly working hours below a country specific threshold.","var_catgry":[{"value":"0","labl":"No","stats":null,"type":null},{"value":"1","labl":"Yes","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe threshold used in such a variable may vary from one dataset to another. The variable's universe will denote the threshold used in each country. Some of the reasons reported are called \"involuntary reasons.\" They can be used with the criterion of usually working for hours below a certain threshold to define the \"visible underemployment.\"\t\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the reason for which an employee is working less than 35 hours weekly (pw07) is not reported for those who are employed but temporary absent from their work (MAS_D=110), or temporary unpaid (MAS_D=132). Thus, the main reason for the \"zero\" number of working hours reported for those cases will be \"temporary absent from work\".","fid":"F2"},{"vid":"V133","name":"FHRSWK_R_09","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":"Reason for few weekly working hours is unwillingness to do extra work","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"Employed individuals aged 10+ and working weekly less than 35 hours","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This set of variables should provide the reason(s) for which an individual reported weekly working hours below a country specific threshold.","var_catgry":[{"value":"0","labl":"No","stats":null,"type":null},{"value":"1","labl":"Yes","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe threshold used in such a variable may vary from one dataset to another. The variable's universe will denote the threshold used in each country. Some of the reasons reported are called \"involuntary reasons.\" They can be used with the criterion of usually working for hours below a certain threshold to define the \"visible underemployment.\"\t\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the reason for which an employee is working less than 35 hours weekly (pw07) is not reported for those who are employed but temporary absent from their work (MAS_D=110), or temporary unpaid (MAS_D=132). Thus, the main reason for the \"zero\" number of working hours reported for those cases will be \"temporary absent from work\".","fid":"F2"},{"vid":"V134","name":"FHRSWK_R_90","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":"Other reasons for few weekly working hours","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_universe":"Employed individuals aged 10+ and working weekly less than 35 hours","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This set of variables should provide the reason(s) for which an individual reported weekly working hours below a country specific threshold.","var_catgry":[{"value":"0","labl":"No","stats":null,"type":null},{"value":"1","labl":"Yes","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThe threshold used in such a variable may vary from one dataset to another. The variable's universe will denote the threshold used in each country. Some of the reasons reported are called \"involuntary reasons.\" They can be used with the criterion of usually working for hours below a certain threshold to define the \"visible underemployment.\"\t\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicating the reason for which an employee is working less than 35 hours weekly (pw07) is not reported for those who are employed but temporary absent from their work (MAS_D=110), or temporary unpaid (MAS_D=132). Thus, the main reason for the \"zero\" number of working hours reported for those cases will be \"temporary absent from work\".","fid":"F2"},{"vid":"V135","name":"WNTCHJ","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"124","var_end_pos":"125","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 10+","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----------------------------------","fid":"F2"},{"vid":"V136","name":"WNTCHJ_R","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"126","var_end_pos":"127","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 10+ 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----------------------------------\nThe original variable indicating the willingness to change the job or get an additional one (pw08) is not reported for those who are employed but temporary unpaid (MAS_D=132). Thus, the generated variable for those cases is recoded 99 \"not stated\".","fid":"F2"},{"vid":"V137","name":"DAYMNTH","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"128","var_end_pos":"129","var_width":"2","var_rec_seg_no":"1","labl":"Total number of working days per month in the main job","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"31"}],"var_universe":"Employed individuals aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"The total number of days usually worked during a month on 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----------------------\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe original variable indicates the number of \"paid\" working days, thus the total number of days worked might exceed the usual number of monthly working days if double paid days are counted.\nIn the raw data, the number of working days is provided for employees only, while for the employers and self-employed, the data is not collected.","fid":"F2"},{"vid":"V138","name":"TOTWAG","file_id":"F2","var_dcml":"2","var_intrvl":"contin","var_start_pos":"130","var_end_pos":"137","var_width":"8","var_rec_seg_no":"1","labl":"Total monthly wage from the regular main job","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"30153.5378417969"}],"var_universe":"Waged workers aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates 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\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----------------------------------\nOnly daily wages in shekel are provided. The daily wages were multiplied by the number of paid working days during the month preceding the survey (pw25) to generate monthly wages.","fid":"F2"},{"vid":"V139","name":"SECJOB","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"138","var_end_pos":"139","var_width":"2","var_rec_seg_no":"1","labl":"Has a secondary job during the reference period","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Employed individuals aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This variable should identify those who have a secondary job.","var_catgry":[{"value":"0","labl":"No","stats":null,"type":null},{"value":"1","labl":"Yes","stats":null,"type":null},{"value":"99","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThis variable is only generated for those who were effectively working at the time of the survey, while for those employed but were absent from work or employed but did not start working yet, the information was not provided in the raw data, thus the variable is recoded missing.\nAll secondary job characteristics were not provided in the raw data, thus the remaining variables of this section were not generated.","fid":"F2"},{"vid":"V140","name":"PRVWRK","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"140","var_end_pos":"140","var_width":"1","var_rec_seg_no":"1","labl":"Previously worked during the reference period","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"3"}],"var_universe":"Individuals aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This variable should identify those who have previously been employed for pay or for profit for a continuous period of time.","var_catgry":[{"value":"0","labl":"Never worked during the reference period","stats":null,"type":null},{"value":"1","labl":"Employed but previous job is not reported","stats":null,"type":null},{"value":"2","labl":"Employed & reported a previous job","stats":null,"type":null},{"value":"3","labl":"Not working & reported a last held job","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nThis information is provided for all individuals in the working-age population to identify those who have previously experienced any employment during the reference period.\nIn many surveys, the data is not collected for employed individuals, in such cases they are recoded \"1\".\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nData on previous job is only collected for employed but temporary unpaid, unemployed and inactive individuals indicating last held job characteristics.\nNo data on previous job for the rest of the employed individuals is provided.\nThose who reported previous work experience during more than 1 year preceding the survey were recoded \"0\" indicating that they never worked during the reference period.","fid":"F2"},{"vid":"V141","name":"EMPSPRV","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"141","var_end_pos":"142","var_width":"2","var_rec_seg_no":"1","labl":"Status of employment in the previous\/last held job","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Ever-employed individuals aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Detailed description of the employment status (employee, own-account workers, employer, unpaid family worker, etc.) in the previous\/last held 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----------------------------------","fid":"F2"},{"vid":"V142","name":"OCCPRV","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"143","var_end_pos":"145","var_width":"3","var_rec_seg_no":"1","labl":"Occupation classification of the previous\/last held job [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"10","max":"999"}],"var_universe":"Ever-employed individuals aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Standardized occupation classification of the previous\/last held job.","var_catgry":[{"value":"10","labl":"Legislators, senior officials and managers","stats":null,"type":null},{"value":"20","labl":"Professionals","stats":null,"type":null},{"value":"30","labl":"Technicians and associate professionals","stats":null,"type":null},{"value":"40","labl":"Clerks","stats":null,"type":null},{"value":"50","labl":"Service workers and shop and market sales workers","stats":null,"type":null},{"value":"60","labl":"Skilled agricultural and fishery workers","stats":null,"type":null},{"value":"70","labl":"Craft and related trades workers","stats":null,"type":null},{"value":"80","labl":"Plant and machine operators, and assemblers","stats":null,"type":null},{"value":"90","labl":"Elementary occupations","stats":null,"type":null},{"value":"100","labl":"Armed forces","stats":null,"type":null},{"value":"998","labl":"Other\/unspecified","stats":null,"type":null},{"value":"999","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\nIn many datasets, national classifications are used to code the detailed data collected. In such cases, if the aggregated data is provided by the statistical office, no attempt to correct the original variable is done.\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V143","name":"OCCPRV_ISCO88_2","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"146","var_end_pos":"149","var_width":"4","var_rec_seg_no":"1","labl":"Occupation classification of the previous\/last held job [ISCO 1988-2 digits]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"9999"}],"var_universe":"Ever-employed individuals aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Occupation classification of the previous\/last held job, following the 2-digits International Standard Classification of Occupations for the year 1988 (ISCO-88).","var_catgry":[{"value":"1","labl":"Armed forces","stats":null,"type":null},{"value":"11","labl":"Legislators and senior officials","stats":null,"type":null},{"value":"12","labl":"Corporate managers","stats":null,"type":null},{"value":"13","labl":"General managers","stats":null,"type":null},{"value":"21","labl":"Physical, mathematical and engineering science professionals","stats":null,"type":null},{"value":"22","labl":"Life science and health professionals","stats":null,"type":null},{"value":"23","labl":"Teaching professionals","stats":null,"type":null},{"value":"24","labl":"Other professionals","stats":null,"type":null},{"value":"31","labl":"Physical and engineering science associate professionals","stats":null,"type":null},{"value":"32","labl":"Life science and health associate professionals","stats":null,"type":null},{"value":"33","labl":"Teaching associate professionals","stats":null,"type":null},{"value":"34","labl":"Other associate professionals","stats":null,"type":null},{"value":"41","labl":"Office clerks","stats":null,"type":null},{"value":"42","labl":"Customer services clerks","stats":null,"type":null},{"value":"51","labl":"Personal and protective services workers","stats":null,"type":null},{"value":"52","labl":"Models, salespersons and demonstrators","stats":null,"type":null},{"value":"61","labl":"Market-oriented skilled agricultural and fishery workers","stats":null,"type":null},{"value":"62","labl":"Subsistence agricultural and fishery workers","stats":null,"type":null},{"value":"71","labl":"Extraction and building trades workers","stats":null,"type":null},{"value":"72","labl":"Metal, machinery and related trades workers","stats":null,"type":null},{"value":"73","labl":"Precision, handicraft, printing and related trades workers","stats":null,"type":null},{"value":"74","labl":"Other craft and related trades workers","stats":null,"type":null},{"value":"81","labl":"Stationary-plant and related operators","stats":null,"type":null},{"value":"82","labl":"Machine operators and assemblers","stats":null,"type":null},{"value":"83","labl":"Drivers and mobile-plant operators","stats":null,"type":null},{"value":"91","labl":"Sales and services elementary occupations","stats":null,"type":null},{"value":"92","labl":"Agricultural, fishery and related laborers","stats":null,"type":null},{"value":"93","labl":"Laborers in mining, construction, manufacturing and transpor","stats":null,"type":null},{"value":"9998","labl":"Unspecified code","stats":null,"type":null},{"value":"9999","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V144","name":"INDPRV","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"150","var_end_pos":"152","var_width":"3","var_rec_seg_no":"1","labl":"Economic activity classification of the previous\/last held job [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"10","max":"999"}],"var_universe":"Ever-employed individuals aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Standardized economic activity classification of the previous\/last held 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----------------------------------","fid":"F2"},{"vid":"V145","name":"INDPRV_ISIC3_2","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"153","var_end_pos":"156","var_width":"4","var_rec_seg_no":"1","labl":"Economic activity classification of the previous\/last held job [ISIC Rev.3-2 digits]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"9999"}],"var_universe":"Ever-employed individuals aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Economic activity classification of the previous\/last held job, following the 2-digits International Standard Industrial Classification of All Economic Activities, Revision 3 (ISIC Rev.3).","var_catgry":[{"value":"1","labl":"Agriculture, hunting and related service activities","stats":null,"type":null},{"value":"2","labl":"Forestry, logging and related service activities","stats":null,"type":null},{"value":"5","labl":"Fishing, operation of fish hatcheries and fish farms; servic","stats":null,"type":null},{"value":"10","labl":"Mining of coal and lignite; extraction of peat","stats":null,"type":null},{"value":"11","labl":"Extraction of crude petroleum & natural gas; service activit","stats":null,"type":null},{"value":"12","labl":"Mining of uranium and thorium ores","stats":null,"type":null},{"value":"13","labl":"Mining of metal ores","stats":null,"type":null},{"value":"14","labl":"Other mining and quarrying","stats":null,"type":null},{"value":"15","labl":"Manufacture of food products and beverages","stats":null,"type":null},{"value":"16","labl":"Manufacture of tobacco products","stats":null,"type":null},{"value":"17","labl":"Manufacture of textiles","stats":null,"type":null},{"value":"18","labl":"Manufacture of wearing apparel; dressing and dyeing of fur","stats":null,"type":null},{"value":"19","labl":"Tanning and dressing of leather; manufacture of luggage, han","stats":null,"type":null},{"value":"20","labl":"Manufacture of wood\/cork and its products, except furniture;","stats":null,"type":null},{"value":"21","labl":"Manufacture of paper and paper products","stats":null,"type":null},{"value":"22","labl":"Publishing, printing and reproduction of recorded media","stats":null,"type":null},{"value":"23","labl":"Manufacture of coke, refined petroleum products and nuclear","stats":null,"type":null},{"value":"24","labl":"Manufacture of chemicals and chemical products","stats":null,"type":null},{"value":"25","labl":"Manufacture of rubber and plastics products","stats":null,"type":null},{"value":"26","labl":"Manufacture of other non-metallic mineral products","stats":null,"type":null},{"value":"27","labl":"Manufacture of basic metals","stats":null,"type":null},{"value":"28","labl":"Manufacture of fabricated metal products, except machinery a","stats":null,"type":null},{"value":"29","labl":"Manufacture of machinery and equipment n.e.c.","stats":null,"type":null},{"value":"30","labl":"Manufacture of office, accounting and computing machinery","stats":null,"type":null},{"value":"31","labl":"Manufacture of electrical machinery and apparatus n.e.c.","stats":null,"type":null},{"value":"32","labl":"Manufacture of radio, television and communication equipment","stats":null,"type":null},{"value":"33","labl":"Manufacture of medical, precision and optical instruments, w","stats":null,"type":null},{"value":"34","labl":"Manufacture of motor vehicles, trailers and semi-trailers","stats":null,"type":null},{"value":"35","labl":"Manufacture of other transport equipment","stats":null,"type":null},{"value":"36","labl":"Manufacture of furniture; manufacturing n.e.c.","stats":null,"type":null},{"value":"37","labl":"Recycling","stats":null,"type":null},{"value":"40","labl":"Electricity, gas, steam and hot water supply","stats":null,"type":null},{"value":"41","labl":"Collection, purification and distribution of water","stats":null,"type":null},{"value":"45","labl":"Construction","stats":null,"type":null},{"value":"50","labl":"Sale, maintenance and repair of motor vehicles and motorcycl","stats":null,"type":null},{"value":"51","labl":"Wholesale trade and commission trade, except of motor vehicl","stats":null,"type":null},{"value":"52","labl":"Retail trade, except of motor vehicles and motorcycles; repa","stats":null,"type":null},{"value":"55","labl":"Hotels and restaurants","stats":null,"type":null},{"value":"60","labl":"Land transport; transport via pipelines","stats":null,"type":null},{"value":"61","labl":"Water transport","stats":null,"type":null},{"value":"62","labl":"Air transport","stats":null,"type":null},{"value":"63","labl":"Supporting and auxiliary transport activities; activities of","stats":null,"type":null},{"value":"64","labl":"Post and telecommunications","stats":null,"type":null},{"value":"65","labl":"Financial intermediation, except insurance and pension fundi","stats":null,"type":null},{"value":"66","labl":"Insurance and pension funding, except compulsory social secu","stats":null,"type":null},{"value":"67","labl":"Activities auxiliary to financial intermediation","stats":null,"type":null},{"value":"70","labl":"Real estate activities","stats":null,"type":null},{"value":"71","labl":"Renting of machinery and equipment without operator and of p","stats":null,"type":null},{"value":"72","labl":"Computer and related activities","stats":null,"type":null},{"value":"73","labl":"Research and development","stats":null,"type":null},{"value":"74","labl":"Other business activities","stats":null,"type":null},{"value":"75","labl":"Public administration and defense; compulsory social securit","stats":null,"type":null},{"value":"80","labl":"Education","stats":null,"type":null},{"value":"85","labl":"Health and social work","stats":null,"type":null},{"value":"90","labl":"Sewage and refuse disposal, sanitation and similar activitie","stats":null,"type":null},{"value":"91","labl":"Activities of membership organizations n.e.c.","stats":null,"type":null},{"value":"92","labl":"Recreational, cultural and sporting activities","stats":null,"type":null},{"value":"93","labl":"Other service activities","stats":null,"type":null},{"value":"95","labl":"Private households with employed persons","stats":null,"type":null},{"value":"99","labl":"Extra-territorial 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----------------------------------","fid":"F2"},{"vid":"V146","name":"SECTORPRV","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"157","var_end_pos":"158","var_width":"2","var_rec_seg_no":"1","labl":"Sector of employment of the previous\/last held job [Standardized version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Ever-employed individuals aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Sector of employment (i.e. private versus public sector workers) in the previous\/last held 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 sector of employment generated using the variable pw23, originally indicating the employment status, is not reported for those who found a job and waiting to start, in addition to all other employed individuals for whom the employment status is employer or self-employed. \nThus, the generated variable for those who found a job is recoded \"not stated\", and the sector was assumed to be private for all employers and self-employed.\nRegular private sector was assumed to be inside an establishment; while the irregular one was coded private sector outside an establishment.\nThe sector for unpaid family workers was assumed to be private-families.","fid":"F2"},{"vid":"V147","name":"SECTORPRV_D","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"159","var_end_pos":"161","var_width":"3","var_rec_seg_no":"1","labl":"Sector of employment of the previous\/last held job [Detailed version]","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"100","max":"999"}],"var_universe":"Ever-employed individuals aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"Sector of employment of the previous\/last held job [Detailed version]","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\nCOUNTRY SPECIFIC NOTES\n----------------------------------\nThe sector of employment generated using the variable pw23, originally indicating the employment status, is not reported for those who found a job and waiting to start, in addition to all other employed individuals for whom the employment status is employer or self-employed. \nThus, the generated variable for those who found a job is recoded \"not stated\", and the sector was assumed to be private for all employers and self-employed.\nRegular private sector was assumed to be inside an establishment; while the irregular one was coded private sector outside an establishment.\nThe sector for unpaid family workers was assumed to be private-families.","fid":"F2"},{"vid":"V148","name":"UNEMPDUR","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"162","var_end_pos":"164","var_width":"3","var_rec_seg_no":"1","labl":"Unemployment duration in months","var_respunit":"Data Dictionary & Questionnaire\/Codebook","var_val_range":[{"units":"REAL","min":"0","max":"999"}],"var_universe":"Unemployed individuals aged 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"The variable reports the number of months during which the unemployed individual had stayed without work since graduation or since he\/she left the last held job.","var_catgry":[{"value":"999","labl":"Not stated","stats":null,"type":null}],"var_codeinstr":"Original survey variable recoded\/renamed (Ref: Data dictionary.pdf)","var_format":"numeric","var_format_schema":"other","var_notes":"GENERAL NOTES\n----------------------\n\n\nCOUNTRY SPECIFIC NOTES\n----------------------------------","fid":"F2"},{"vid":"V149","name":"SRCHACT_01","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"165","var_end_pos":"165","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 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This 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----------------------------------\nFor those who are reported unemployed but do not seek for a job in the main activity status (MAS_D=232, 233, 234), no data for search activity was collected, thus all the harmonized variables for those cases were reported missing.","fid":"F2"},{"vid":"V150","name":"SRCHACT_06","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"166","var_end_pos":"166","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 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This 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----------------------------------\nFor those who are reported unemployed but do not seek for a job in the main activity status (MAS_D=232, 233, 234), no data for search activity was collected, thus all the harmonized variables for those cases were reported missing.","fid":"F2"},{"vid":"V151","name":"SRCHACT_07","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"167","var_end_pos":"167","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 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This 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----------------------------------\nFor those who are reported unemployed but do not seek for a job in the main activity status (MAS_D=232, 233, 234), no data for search activity was collected, thus all the harmonized variables for those cases were reported missing.","fid":"F2"},{"vid":"V152","name":"SRCHACT_08","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"168","var_end_pos":"168","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 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This 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----------------------------------\nFor those who are reported unemployed but do not seek for a job in the main activity status (MAS_D=232, 233, 234), no data for search activity was collected, thus all the harmonized variables for those cases were reported missing.","fid":"F2"},{"vid":"V153","name":"SRCHACT_90","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"169","var_end_pos":"169","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 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"This 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----------------------------------\nFor those who are reported unemployed but do not seek for a job in the main activity status (MAS_D=232, 233, 234), no data for search activity was collected, thus all the harmonized variables for those cases were reported missing.","fid":"F2"},{"vid":"V154","name":"NOTSRCH_R","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"170","var_end_pos":"171","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 10+","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----------------------------------\nFor all inactive individuals who did not provide a reason for not searching for a job, the main activity status was used to fill this variable.","fid":"F2"}],"variable_groups":[]}