{"type":"survey","study_desc":{"title_statement":{"idno":"WLD_2016_KNOMAD-ILO-MCS_v01_M","title":"KNOMAD-ILO Migration Costs Surveys 2016","alt_title":"KNOMAD-ILO 2016 MCS"},"authoring_entity":[{"name":"Global Knowledge Partnership on Migration and Development (KNOMAD) & International Labour Organization (ILO)","affiliation":""}],"production_statement":{"producers":[{"name":"Ganesh Seshan","affiliation":" World Bank, KNOMAD ","role":"Core team"},{"name":"Manolo Abella","affiliation":" KNOMAD","role":"Core team"},{"name":"Petra Niedermayerova","affiliation":"Consultant, World Bank","role":"Core team"}],"funding_agencies":[{"name":"Global Knowledge Partnership on Migration and Development","abbreviation":"KNOMAD","role":""},{"name":"International Labor Organization","abbreviation":"ILO","role":""}]},"distribution_statement":{"contact":[{"name":"KNOMAD Data Team","affiliation":"KNOMAD","email":"migrationandremittances@worldbank.org","uri":""}],"depositor":[{"name":"Global Knowledge Partnership on Migration and Development","abbreviation":"KNOMAD","affiliation":"World Bank"}]},"series_statement":{"series_name":"Other Household Survey","series_info":"The 2016 KNOMAD-ILO Migration Costs Surveys compiled dataset consists of 5 surveys covering 9 bilateral migration corridors with a total of 2, 454 migrants, and provides new systematic evidence of costs incurred by migrant workers to obtain jobs abroad."},"study_info":{"abstract":"The Migration Cost Surveys (MCS) project is a joint initiative of the Global Knowledge Partnership on Migration and Development (KNOMAD) and the International Labor Organization (ILO). The project was initiated to support methodological work on developing a new Sustainable Development Goal (SDG) indicator (10.7.1) on worker-paid recruitment costs. The surveys of migrant workers conducted in multiple bilateral corridors between 2015 and 2017 provide new systematic evidence of financial and some non-financial costs incurred by workers to obtain jobs abroad. The compiled dataset is divided into two waves (2015 and 2016) based on the questionnaire version used in the surveys. This document describes surveys conducted using the 2016 version of the MCS questionnaire.","coll_dates":[{"start":"2016-06-01","end":"2017-04-30","cycle":""}],"nation":[{"name":"World","abbreviation":"WLD"}],"geog_coverage":"Multinational coverage\n- India\n- Philippines\n- Nepal\n- Uzbekistan\n- Kyrgyz Republic\n- Tajikistan\n- Countries in Western Africa","geog_unit":"Country","analysis_unit":"KNOMAD-ILO Migration Costs Surveys (KNOMAD-ILO MCS) have the following unit of analysis: individuals","universe":"Surveys of migrants from the following corridors are included:\n\u2022 India-Saudi Arabia\n\u2022 Philippines to Saudi Arabia\n\u2022 Nepal to Malaysia, Qatar and Saudi Arabia\n\u2022 Kyrgyzstan, Tajikistan, Uzbekistan to Russia\n\u2022 West African countries to Italy","data_kind":"Sample survey data [ssd]","notes":"The 2016 KNOMAD-ILO Migration Costs Surveys covers the following topics:\n- Respondent Information: socio-demographic characteristic of the individual including migration history\n- Information on costs for current job: presence and extent of various costs associated with migration\n- Borrowing money for the foreign job: source and size of the loan; loan repayment details\n- Job search efforts and opportunity costs: characteristics of job in a country of origin including industry, occupation and earnings; questions about search for job in the destination country; information on job skills and their utilization\n- Work in foreign country: characteristics of job in a country of origin including industry, occupation, contract, promised earnings, actual earning, amount remitted \n- Job environment: work conditions including employer contribution to incurred migration costs, deductions from earnings, information on deprived rights, hours worked, rest days and \n- Current status and contact information: migration status information","study_scope":"The 2016 KNOMAD-ILO Migration Costs Surveys covers the following topics:\n- Respondent Information: socio-demographic characteristic of the individual including migration history\n- Information on costs for current job: presence and extent of various costs associated with migration\n- Borrowing money for the foreign job: source and size of the loan; loan repayment details\n- Job search efforts and opportunity costs: characteristics of job in a country of origin including industry, occupation and earnings; questions about search for job in the destination country; information on job skills and their utilization\n- Work in foreign country: characteristics of job in a country of origin including industry, occupation, contract, promised earnings, actual earning, amount remitted \n- Job environment: work conditions including employer contribution to incurred migration costs, deductions from earnings, information on deprived rights, hours worked, rest days and \n- Current status and contact information: migration status information"},"method":{"data_collection":{"sampling_procedure":"All surveys conducted for this project used either convenience or snowball sampling. Sample enrollment was restricted to migrants primarily employed in low-skilled positions. There is variation in terms of when migrants were interviewed in their migration life-cycle. Two surveys of recruited workers - that is workers who are recruited in their home countries for jobs abroad - namely Filipinos and Indians to Saudi Arabia, were conducted with migrants returning to their origin countries (for visits or permanently). The surveys of non-recruited migrants - Central Asian migrants to Russia and West African migrants to Italy - were administered in the destination countries, which permitted multiple bilateral migration channels to be documented (at cost of smaller sample sizes in some corridors, particularly with Italy as destination). The survey instruments for non-recruited migrants were worded in present tense for various aspect of stay in the destination country. The content of the variables remains analogous to the surveys of returnees. Finally, the survey of Nepalese migrants was conducted with migrants who were departing to their destination countries within a two-week period. Please refer to Annex Table 1 of the 2016 KNOMAD_ILO MCS Guide for a summary description of the samples included in the 2016 KNOMAD-ILO MCS dataset.","coll_mode":"Computer Assisted Personal Interview [capi]","research_instrument":"The 2016 KNOMAD-ILO Migration Costs Surveys consists of 7 survey modules:\nA. Respondent information\nB. Information on costs for current job\nC. Borrowing money for the foreign job\nD. Job search efforts and opportunity costs\nE. Work in foreign country\nF. Job environment\nG. Current status and contact information"},"analysis_info":{"sampling_error_estimates":"n\/a","data_appraisal":"n\/a"}},"data_access":{"dataset_use":{"contact":[{"name":"Global Knowledge Partnership on Migration and Development (KNOMAD)","affiliation":"World Bank","email":"migrationandremittances@worldbank.org","uri":"https:\/\/www.knomad.org\/"},{"name":"Microdata Library","affiliation":"World Bank","email":"","uri":"microdata.worldbank.org"}],"cit_req":"To help us track and catalog usage of the dataset, please include the following citation in your documents: World Bank. \u201cKNOMAD-ILO Migration Costs Surveys 2016,\u201d Global Knowledge Partnership on Migration and Development (KNOMAD), 2017.Ref: WLD_2016_KNOMAD-ILO-MCS_v01_M. Downloaded from [url] on [date].","conditions":"The KNOMAD-ILO Migration Cost Surveys are publicly available and free to all users upon registration in The World Bank Microdata Library.","disclaimer":"The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses."}}},"data_files":[{"file_id":"F1","file_name":"2016_knomad_ilo_mcs","description":"KNOMAD-ILO Migration Costs Surveys: 2016 Compiled Dataset","case_count":"2454","var_count":"636","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null}],"variables":[{"vid":"V1","name":"current_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":"What country did you return from last time you worked abroad?","var_qstn_qstnlit":"What country 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Leone-Italy","labl":null,"stats":"3","type":"freq"},{"value":"Tajikistan-Russia","labl":null,"stats":"309","type":"freq"},{"value":"Togo-Italy","labl":null,"stats":"2","type":"freq"},{"value":"Uzbekistan-Russia","labl":null,"stats":"324","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F1"},{"vid":"V620","name":"sumcostUSD2016","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"4956","var_end_pos":"4966","var_width":"11","var_rec_seg_no":"1","labl":"sum of itemized costs in 2016 constant USD","var_val_range":[{"units":"REAL","min":"0","max":"131627.4375"}],"var_sumstat":[{"value":"2454","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"min"},{"value":"131627.438","type":"max"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V621","name":"tot_borrowUSD2016","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"4967","var_end_pos":"4978","var_width":"12","var_rec_seg_no":"1","labl":"Total amount borrowed in 2016 constant USD","var_val_range":[{"units":"REAL","min":"0","max":"403519.59375"}],"var_sumstat":[{"value":"2454","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"min"},{"value":"403519.594","type":"max"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V622","name":"mthinc_priorUSD2016","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"4979","var_end_pos":"4990","var_width":"12","var_rec_seg_no":"1","labl":"estimated monthly home earnings prior to migrating in 2016 constant USD","var_val_range":[{"units":"REAL","min":"0","max":"439882.09375"}],"var_sumstat":[{"value":"1681","type":"vald"},{"value":"773","type":"invd"},{"value":"0","type":"min"},{"value":"439882.094","type":"max"}],"var_codeinstr":"Estimated monthly home earnings prior to migrating in 2016 constant USD. Calculation used amount_priorUSD2016 and unit_amount_prior. Assumptions: 26 work days in month.","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V623","name":"mthinc_arvUSD2016","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"4991","var_end_pos":"5004","var_width":"14","var_rec_seg_no":"1","labl":"Monthly estimated foreign earnings at arrival in constant USD","var_val_range":[{"units":"REAL","min":"0","max":"10081.13671875"}],"var_sumstat":[{"value":"1987","type":"vald"},{"value":"467","type":"invd"},{"value":"0","type":"min"},{"value":"10081.137","type":"max"}],"var_codeinstr":"Estimated monthly foreign income that was promised to migrant in 2016 constant USD. Calculation used amount_promisedUSD2016 and unit_promised.","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V624","name":"mthinc_arv_less_taxUSD2016","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"5005","var_end_pos":"5020","var_width":"16","var_rec_seg_no":"1","labl":"Monthly estimated foreign earnings minus witholdings at arrival in constant USD","var_val_range":[{"units":"REAL","min":"0","max":"5965.16943359375"}],"var_sumstat":[{"value":"1988","type":"vald"},{"value":"466","type":"invd"},{"value":"0","type":"min"},{"value":"5965.169","type":"max"}],"var_codeinstr":"Estimated monthly foreign earnings on arrival in the destination country minus taxes, social security contributions and foreign worker levy in 2016 constant USD. Calculation used amount_deductedUSD2016 and unit_amount_deducted. Assumptions: 26 work days in month.","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V625","name":"mthinc_contract_arvUSD2016","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"5021","var_end_pos":"5036","var_width":"16","var_rec_seg_no":"1","labl":"Monthly estimated foreign earnings at arrival expected based on contract in cons","var_val_range":[{"units":"REAL","min":"13.9586353302002","max":"1923.07690429688"}],"var_sumstat":[{"value":"349","type":"vald"},{"value":"2105","type":"invd"},{"value":"13.959","type":"min"},{"value":"1923.077","type":"max"}],"var_codeinstr":"Monthly estimated foreign earnings on arrival in the destination country expected based on contract in 2016 constant USD. Equal to Salary_MonthlyUSD. (specific to Nepal 2016 survey)","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V626","name":"mthincUSD2016","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"5037","var_end_pos":"5041","var_width":"5","var_rec_seg_no":"1","labl":"estimated current monthly foreign earnings in 2016 constant USD","var_val_range":[{"units":"REAL","min":"0","max":"30000"}],"var_sumstat":[{"value":"2059","type":"vald"},{"value":"395","type":"invd"},{"value":"0","type":"min"},{"value":"30000","type":"max"}],"var_codeinstr":"Estimated current monthly foreign earnings in 2016 constant USD. Calculation used amount_current2USD2016 and unit_amount_current2. Assumptions: 26 work days in month.","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V627","name":"mthinc_less_taxUSD2016","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"5042","var_end_pos":"5054","var_width":"13","var_rec_seg_no":"1","labl":"Current estimated monthly foreign earnings minus witholdings in constant USD","var_val_range":[{"units":"REAL","min":"0","max":"9840.78515625"}],"var_sumstat":[{"value":"1956","type":"vald"},{"value":"498","type":"invd"},{"value":"0","type":"min"},{"value":"9840.785","type":"max"}],"var_codeinstr":"Estimated current monthly foreign earnings minus taxes, social security contributions and foreign worker levy in 2016 constant USD. Calculation used amount_deducted2USD2016 and unit_amount_deducted2. Assumptions: 26 work days in month.","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V628","name":"mthremitUSD2016","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"5055","var_end_pos":"5059","var_width":"5","var_rec_seg_no":"1","labl":"estimated monthly remittance during the year of work abroad in 2016 constant USD","var_val_range":[{"units":"REAL","min":"0","max":"12800"}],"var_sumstat":[{"value":"2392","type":"vald"},{"value":"62","type":"invd"},{"value":"0","type":"min"},{"value":"12800","type":"max"}],"var_codeinstr":"Estimated monthly remittance during the year of work abroad in 2016 constant USD. Calculation used amount_sentUSD2016 and unit_amount_sent.","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V629","name":"rci","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"5060","var_end_pos":"5075","var_width":"16","var_rec_seg_no":"1","labl":"recruitment cost indicator (RCI): recruitment costs paid as a multiple of monthl","var_val_range":[{"units":"REAL","min":"0","max":"120.000007629395"}],"var_sumstat":[{"value":"1230","type":"vald"},{"value":"1224","type":"invd"},{"value":"0","type":"min"},{"value":"120","type":"max"}],"var_codeinstr":"Recruitment cost indicator (RCI). Recruitment costs paid as a multiple of monthly foreign gross earnings received (on arrival). Formula: tot_expUSD2016\/mthinc_arvUSD2016 (for Nepal 2016: tot_expUSD2016\/mthinc_contract_arvUSD2016)","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V630","name":"mci","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"5076","var_end_pos":"5091","var_width":"16","var_rec_seg_no":"1","labl":"migration cost indicator (MCI): migration costs paid as a multiple of monthly fo","var_val_range":[{"units":"REAL","min":"0","max":"270.996154785156"}],"var_sumstat":[{"value":"806","type":"vald"},{"value":"1648","type":"invd"},{"value":"0","type":"min"},{"value":"270.996","type":"max"}],"var_codeinstr":"Migration cost indicator (MCI). This is only for a subset of workers who were not directly recruited for jobs abroad. Analogous to the RCI, it is the ratio of migration costs to monthly foreign gross earnings.","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V631","name":"loan_to_totexp","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"5092","var_end_pos":"5107","var_width":"16","var_rec_seg_no":"1","labl":"what proportion of total migration\/recruitment costs does the loan represent?","var_val_range":[{"units":"REAL","min":"0","max":"2500.00024414062"}],"var_sumstat":[{"value":"2168","type":"vald"},{"value":"286","type":"invd"},{"value":"0","type":"min"},{"value":"2500","type":"max"}],"var_codeinstr":"What proportion of total recruitment\/migration costs does the loan represent? Calculation: tot_borrowUSD2016\/tot_expUSD2016","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V632","name":"loan_to_arvinc","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"5108","var_end_pos":"5123","var_width":"16","var_rec_seg_no":"1","labl":"total amount borrowed as a multiple of monthly foreign earnings on arrival","var_val_range":[{"units":"REAL","min":"0","max":"60.0000038146973"}],"var_sumstat":[{"value":"1887","type":"vald"},{"value":"567","type":"invd"},{"value":"0","type":"min"},{"value":"60","type":"max"}],"var_codeinstr":"Total amount borrowed as a multiple of monthly foreign gross earnings on arrival. Formula: tot_borrowUSD2016\/mthinc_arvUSD2016","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V633","name":"loan_to_contract_arvinc","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"5124","var_end_pos":"5139","var_width":"16","var_rec_seg_no":"1","labl":"total amount borrowed as a multiple of expected monthly foreign earnings","var_val_range":[{"units":"REAL","min":"0","max":"53.3333320617676"}],"var_sumstat":[{"value":"349","type":"vald"},{"value":"2105","type":"invd"},{"value":"0","type":"min"},{"value":"53.333","type":"max"}],"var_codeinstr":"Total amount borrowed as a multiple of expected monthly foreign gross earnings. Formula: tot_borrowUSD2016\/mthinc_contract_arvUSD2016 (specific to Nepal 2016 survey)","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V634","name":"remit_to_income","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"5140","var_end_pos":"5155","var_width":"16","var_rec_seg_no":"1","labl":"what proportion of the monthly foreign income is remitted home?","var_val_range":[{"units":"REAL","min":"0","max":"87.5832595825195"}],"var_sumstat":[{"value":"1891","type":"vald"},{"value":"563","type":"invd"},{"value":"0","type":"min"},{"value":"87.583","type":"max"}],"var_codeinstr":"What proportion of the monthly foreign gross income is remitted home? Calculation: mthremitUSD2016\/mthincUSD2016","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V635","name":"forinc_to_homeinc","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"5156","var_end_pos":"5171","var_width":"16","var_rec_seg_no":"1","labl":"monthly foreign earnings as a multiple of home earnings earned prior to migratin","var_val_range":[{"units":"REAL","min":"0","max":"7110.44091796875"}],"var_sumstat":[{"value":"1281","type":"vald"},{"value":"1173","type":"invd"},{"value":"0","type":"min"},{"value":"7110.441","type":"max"}],"var_codeinstr":"Monthly foreign gross earnings on arrival as a multiple of monthly home earnings earned prior to migrating. Formula: mthinc_arvUSD2016\/mthinc_priorUSD2016","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V636","name":"prom_mthincUSD2016","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"5172","var_end_pos":"5186","var_width":"15","var_rec_seg_no":"1","labl":"estimated monthly foreign promised income in 2016 constant USD","var_val_range":[{"units":"REAL","min":"0","max":"10543.697265625"}],"var_sumstat":[{"value":"1120","type":"vald"},{"value":"1334","type":"invd"},{"value":"0","type":"min"},{"value":"10543.697","type":"max"}],"var_codeinstr":"Estimated monthly foreign income that was promised to migrant in 2016 constant USD. Calculation used amount_promisedUSD2016 and unit_promised.","var_format":"numeric","var_format_schema":"other","fid":"F1"}],"variable_groups":[]}