WLD_2016_KNOMAD-ILO-MCS_v01_M DDI_WLD_2016_KNOMAD-ILO-MCS_v02_M_WB Development Economics Data Group 2017-12-01 Nesstar Publisher DDI Document - Version 02 - (05/24/21) This version is identical to DDI_WLD_2016_KNOMAD-ILO-MCS_v01_M_WB but country field has been updated to capture all the countries covered by survey. Version 01 (December 2017) KNOMAD-ILO Migration Costs Surveys 2016 KNOMAD-ILO 2016 MCS WLD_2016_KNOMAD-ILO-MCS_v01_M Global Knowledge Partnership on Migration and Development (KNOMAD) & International Labour Organization (ILO) Ganesh Seshan Manolo Abella Petra Niedermayerova Nesstar Publisher Global Knowledge Partnership on Migration and Development International Labor Organization KNOMAD Data Team Global Knowledge Partnership on Migration and Development Other Household Survey 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. 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. Benin Burkina Faso Cabo Verde Gambia, The Ghana Guinea Guinea-Bissau India Kyrgyz Republic Liberia Mali Mauritania Nepal Niger Nigeria Philippines Senegal Sierra Leone Tajikistan Togo Uzbekistan Multinational coverage - India - Philippines - Nepal - Uzbekistan - Kyrgyz Republic - Tajikistan - Countries in Western Africa Country KNOMAD-ILO Migration Costs Surveys (KNOMAD-ILO MCS) have the following unit of analysis: individuals Surveys of migrants from the following corridors are included: • India-Saudi Arabia • Philippines to Saudi Arabia • Nepal to Malaysia, Qatar and Saudi Arabia • Kyrgyzstan, Tajikistan, Uzbekistan to Russia • West African countries to Italy Sample survey data [ssd] The 2016 KNOMAD-ILO Migration Costs Surveys covers the following topics: - Respondent Information: socio-demographic characteristic of the individual including migration history - Information on costs for current job: presence and extent of various costs associated with migration - Borrowing money for the foreign job: source and size of the loan; loan repayment details - 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 - Work in foreign country: characteristics of job in a country of origin including industry, occupation, contract, promised earnings, actual earning, amount remitted - Job environment: work conditions including employer contribution to incurred migration costs, deductions from earnings, information on deprived rights, hours worked, rest days and - Current status and contact information: migration status information 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. Computer Assisted Personal Interview [capi] The 2016 KNOMAD-ILO Migration Costs Surveys consists of 7 survey modules: A. Respondent information B. Information on costs for current job C. Borrowing money for the foreign job D. Job search efforts and opportunity costs E. Work in foreign country F. Job environment G. Current status and contact information n/a n/a Global Knowledge Partnership on Migration and Development (KNOMAD) Microdata Library To help us track and catalog usage of the dataset, please include the following citation in your documents: World Bank. “KNOMAD-ILO Migration Costs Surveys 2016,” Global Knowledge Partnership on Migration and Development (KNOMAD), 2017.Ref: WLD_2016_KNOMAD-ILO-MCS_v01_M. Downloaded from [url] on [date]. The KNOMAD-ILO Migration Cost Surveys are publicly available and free to all users upon registration in The World Bank Microdata Library. 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. 2016_knomad_ilo_mcs.NSDstat KNOMAD-ILO Migration Costs Surveys: 2016 Compiled Dataset 2454 636 Nesstar 200801 What country did you return from last time you worked abroad? What country did you return from last time you worked abroad? 2453 1 26 57 1 norway 0 2 australia 0 3 switzerland 0 4 netherlands 0 5 united states 0 6 germany 0 7 new zealand 0 8 canada 0 9 singapore 0 10 denmark 0 11 ireland 0 12 sweden 0 13 iceland 0 14 united kingdom 0 15 hong kong 0 16 korea (republic of) 0 17 japan 0 18 liechtenstein 0 19 israel 0 20 france 0 21 austria 0 22 belgium 0 23 luxembourg 0 24 finland 0 25 slovenia 0 26 italy 305 27 spain 0 28 czech republic 0 29 greece 0 30 brunei darussalam 0 31 qatar 89 32 cyprus 0 33 estonia 0 34 saudi arabia 990 35 lithuania 0 36 poland 0 37 andorra 0 38 slovakia 0 39 malta 0 40 united arab emirates 0 41 chile 0 42 portugal 0 43 hungary 0 44 bahrain 0 45 kuwait 0 46 croatia 0 47 argentina 0 48 uruguay 0 49 bahamas 0 50 romania 0 51 libya 0 52 oman 0 53 russian federation 904 54 bulgaria 0 55 palau 0 56 antigua and barbuda 0 57 malaysia 165 58 mauritius 0 59 lebanon 0 60 panama 0 61 venezuela (bolivarian republic of) 0 62 costa rica 0 63 turkey 0 64 kazakhstan 0 65 mexico 0 66 seychelles 0 67 sri lanka 0 68 iran (islamic republic of) 0 69 azerbaijan 0 70 jordan 0 71 serbia 0 72 brazil 0 73 fiji 0 74 thailand 0 75 tunisia 0 76 china 0 77 algeria 0 78 colombia 0 79 ecuador 0 80 tonga 0 81 dominican republic 0 82 maldives 0 83 mongolia 0 84 samoa 0 85 indonesia 0 86 botswana 0 87 egypt 0 88 paraguay 0 89 gabon 0 90 moldova (republic of) 0 91 uzbekistan 0 92 philippines 0 93 south africa 0 94 iraq 0 95 viet nam 0 96 cape verde 0 97 micronesia (federated states of) 0 98 guatemala 0 99 kyrgyzstan 0 100 namibia 0 101 timor-leste 0 102 honduras 0 103 morocco 0 104 vanuatu 0 105 nicaragua 0 106 kiribati 0 107 tajikistan 0 108 india 0 109 bhutan 0 110 cambodia 0 111 ghana 0 112 lao peoples democratic republic 0 113 zambia 0 114 bangladesh 0 115 sao tome and principe 0 116 nepal 0 117 pakistan 0 118 kenya 0 119 swaziland 0 120 angola 0 121 myanmar 0 122 rwanda 0 123 cameroon 0 124 nigeria 0 125 yemen 0 126 madagascar 0 127 zimbabwe 0 128 papua new guinea 0 129 solomon islands 0 130 tanzania (united republic of) 0 131 lesotho 0 132 senegal 0 133 uganda 0 134 benin 0 135 sudan 0 136 togo 0 137 haiti 0 138 afghanistan 0 139 djibouti 0 140 cï¿½te divoire 0 141 gambia 0 142 ethiopia 0 143 malawi 0 144 liberia 0 145 mali 0 146 guinea-bissau 0 147 mozambique 0 148 guinea 0 149 burundi 0 150 burkina faso 0 151 eritrea 0 152 sierra leone 0 153 central african republic 0 154 congo (democratic republic of the) 0 155 niger 0 156 marshall islands 0 157 monaco 0 158 nauru 0 Sysmiss 1 Sex 2454 0 0 1 0 Female 523 1 Male 1931 2 Third gender 0 Where were you born? Where were you born? 2100 354 91 155 1 norway 0 2 australia 0 3 switzerland 0 4 netherlands 0 5 united states 0 6 germany 0 7 new zealand 0 8 canada 0 9 singapore 0 10 denmark 0 11 ireland 0 12 sweden 0 13 iceland 0 14 united kingdom 0 15 hong kong 0 16 korea (republic of) 0 17 japan 0 18 liechtenstein 0 19 israel 0 20 france 0 21 austria 0 22 belgium 0 23 luxembourg 0 24 finland 0 25 slovenia 0 26 italy 0 27 spain 0 28 czech republic 0 29 greece 0 30 brunei darussalam 0 31 qatar 0 32 cyprus 0 33 estonia 0 34 saudi arabia 0 35 lithuania 0 36 poland 0 37 andorra 0 38 slovakia 0 39 malta 0 40 united arab emirates 0 41 chile 0 42 portugal 0 43 hungary 0 44 bahrain 0 45 kuwait 0 46 croatia 0 47 argentina 0 48 uruguay 0 49 bahamas 0 50 romania 0 51 libya 0 52 oman 0 53 russian federation 0 54 bulgaria 0 55 palau 0 56 antigua and barbuda 0 57 malaysia 0 58 mauritius 0 59 lebanon 0 60 panama 0 61 venezuela (bolivarian republic of) 0 62 costa rica 0 63 turkey 0 64 kazakhstan 0 65 mexico 0 66 seychelles 0 67 sri lanka 0 68 iran (islamic republic of) 0 69 azerbaijan 0 70 jordan 0 71 serbia 0 72 brazil 0 73 fiji 0 74 thailand 0 75 tunisia 0 76 china 0 77 algeria 0 78 colombia 0 79 ecuador 0 80 tonga 0 81 dominican republic 0 82 maldives 0 83 mongolia 0 84 samoa 0 85 indonesia 0 86 botswana 0 87 egypt 0 88 paraguay 0 89 gabon 0 90 moldova (republic of) 0 91 uzbekistan 324 92 philippines 482 93 south africa 0 94 iraq 0 95 viet nam 0 96 cape verde 1 97 micronesia (federated states of) 0 98 guatemala 0 99 kyrgyzstan 271 100 namibia 0 101 timor-leste 0 102 honduras 0 103 morocco 0 104 vanuatu 0 105 nicaragua 0 106 kiribati 0 107 tajikistan 309 108 india 409 109 bhutan 0 110 cambodia 0 111 ghana 17 112 lao peoples democratic republic 0 113 zambia 0 114 bangladesh 0 115 sao tome and principe 0 116 nepal 0 117 pakistan 0 118 kenya 0 119 swaziland 0 120 angola 0 121 myanmar 0 122 rwanda 0 123 cameroon 0 124 nigeria 49 125 yemen 0 126 madagascar 0 127 zimbabwe 0 128 papua new guinea 0 129 solomon islands 0 130 tanzania (united republic of) 0 131 lesotho 0 132 senegal 83 133 uganda 0 134 benin 1 135 sudan 0 136 togo 2 137 haiti 0 138 afghanistan 0 139 djibouti 0 140 cï¿½te divoire 22 141 gambia 33 142 ethiopia 0 143 malawi 0 144 liberia 1 145 mali 47 146 guinea-bissau 15 147 mozambique 0 148 guinea 14 149 burundi 0 150 burkina faso 15 151 eritrea 0 152 sierra leone 3 153 central african republic 0 154 congo (democratic republic of the) 0 155 niger 2 156 marshall islands 0 157 monaco 0 158 nauru 0 159 Macedonia 0 Sysmiss 354 Are you a citizen of %place_born%? Are you a citizen of %place_born%? 484 1970 1 1 1 Yes 484 2 No 0 Sysmiss 1970 Which country did you live right before you left for %current_country%? Which country did you live right before you left for %current_country%? 1615 839 5 155 1 norway 0 2 australia 0 3 switzerland 0 4 netherlands 0 5 united states 1 6 germany 0 7 new zealand 0 8 canada 0 9 singapore 0 10 denmark 0 11 ireland 0 12 sweden 0 13 iceland 0 14 united kingdom 0 15 hong kong 0 16 korea (republic of) 0 17 japan 0 18 liechtenstein 0 19 israel 0 20 france 1 21 austria 0 22 belgium 0 23 luxembourg 0 24 finland 0 25 slovenia 0 26 italy 0 27 spain 1 28 czech republic 0 29 greece 0 30 brunei darussalam 0 31 qatar 0 32 cyprus 0 33 estonia 0 34 saudi arabia 0 35 lithuania 0 36 poland 0 37 andorra 0 38 slovakia 0 39 malta 0 40 united arab emirates 0 41 chile 0 42 portugal 0 43 hungary 0 44 bahrain 0 45 kuwait 0 46 croatia 0 47 argentina 0 48 uruguay 0 49 bahamas 0 50 romania 0 51 libya 61 52 oman 0 53 russian federation 3 54 bulgaria 0 55 palau 0 56 antigua and barbuda 0 57 malaysia 0 58 mauritius 0 59 lebanon 0 60 panama 0 61 venezuela (bolivarian republic of) 0 62 costa rica 0 63 turkey 0 64 kazakhstan 4 65 mexico 0 66 seychelles 0 67 sri lanka 0 68 iran (islamic republic of) 0 69 azerbaijan 0 70 jordan 0 71 serbia 0 72 brazil 0 73 fiji 0 74 thailand 0 75 tunisia 0 76 china 0 77 algeria 4 78 colombia 0 79 ecuador 0 80 tonga 0 81 dominican republic 0 82 maldives 0 83 mongolia 0 84 samoa 0 85 indonesia 0 86 botswana 0 87 egypt 0 88 paraguay 0 89 gabon 0 90 moldova (republic of) 0 91 uzbekistan 323 92 philippines 0 93 south africa 0 94 iraq 0 95 viet nam 0 96 cape verde 1 97 micronesia (federated states of) 0 98 guatemala 0 99 kyrgyzstan 265 100 namibia 0 101 timor-leste 0 102 honduras 0 103 morocco 2 104 vanuatu 0 105 nicaragua 0 106 kiribati 0 107 tajikistan 308 108 india 409 109 bhutan 0 110 cambodia 0 111 ghana 9 112 lao peoples democratic republic 0 113 zambia 0 114 bangladesh 0 115 sao tome and principe 0 116 nepal 0 117 pakistan 0 118 kenya 0 119 swaziland 0 120 angola 0 121 myanmar 0 122 rwanda 0 123 cameroon 0 124 nigeria 39 125 yemen 0 126 madagascar 0 127 zimbabwe 0 128 papua new guinea 0 129 solomon islands 0 130 tanzania (united republic of) 0 131 lesotho 0 132 senegal 78 133 uganda 0 134 benin 1 135 sudan 0 136 togo 1 137 haiti 0 138 afghanistan 0 139 djibouti 0 140 cï¿½te divoire 11 141 gambia 28 142 ethiopia 0 143 malawi 0 144 liberia 0 145 mali 35 146 guinea-bissau 8 147 mozambique 0 148 guinea 7 149 burundi 0 150 burkina faso 10 151 eritrea 0 152 sierra leone 1 153 central african republic 0 154 congo (democratic republic of the) 0 155 niger 4 156 marshall islands 0 157 monaco 0 158 nauru 0 159 Macedonia 0 160 Peru 0 161 Ukrain 0 Sysmiss 839 What is the name of the place you were living in %country_before% before going t What is the name of the place you were living in %country_before% before going to %current_country%? 409 0 "Aligarh " 2 "Arrah " 1 "Bareilly " 1 "Basti " 1 "Bhagalpur " 1 "Binjor " 1 "Chhapra " 5 "Churu " 1 "Darbhanga " 2 "Faizabad " 3 "Farukhabad " 1 "Gopalganj " 4 "Gorakhpur " 2 "Jaunpur " 3 "Maharajganj " 1 "Motihari " 1 "Motihari (Bihar) " 1 "Muzaffar nagar " 1 "Muzaffarpur " 1 "Nagaur " 2 "Pratapgarh " 1 "Saharanpur " 1 "Siddharth Nagar " 1 "Siwan " 8 "Vaishali " 1 "Varanasi " 1 Aazamgarh 1 Agra 7 Ajmer 1 Aligarh 8 Allahabad 1 Allahbad 2 Alwar 4 Amethi 1 Amroha 2 Anantnag 1 Ara 1 Araria 7 Arrah 4 Aurangabad 1 Azamgarh 15 Azamgarh (Uttar Pradesh) 1 Azmer 3 Babuapur 1 Bahraich 1 Balia 1 Ballia 2 Bandipora 1 Bansa 1 Bareilly 6 Basti 6 Begusarai 1 Betul 1 Bhadohi 1 Bhagalpur 4 Bijnor 4 Bijnor (Uttar Pradesh) 1 Bikaner 1 Bulandsahar 1 Bulandshahar 2 Bundi 1 Buxar 4 Chapra 3 Chhapra 22 Churu 4 Dabhanga 1 Darbhanga 8 Darbhanga (Bihar) 1 Darolo 1 Dausa 1 Delhi 4 Deoria 1 Devariya 1 ETAH 1 Eatah 1 Etha 1 Faizabad 1 Faridpur 1 Farukhabad 3 Gaya 2 Ghaziabad 1 Gonda 1 Gopalgang 1 Gopalganj 28 Gorakhpur 7 Gwalior 1 Hajipur 2 Hamirpur 1 Hanumangarh 4 Hawrah 1 Hnumangarh 1 Jamshedpur 1 Jaunpur 1 Jhansi 1 Jhunjhuna 1 Jhunjhunu 7 Kanpur 2 Kasganj 3 Kashmir 1 Katihar 1 Katipur 1 Katni 3 Khagaria 1 Kishanganj 1 Kushi nagar 1 Luckhnow 1 Lucknow 2 Madhubani 1 Mahaganj 1 Maharajganj 5 Mahendra garh 1 Mau 1 Mau (Uttar Pradesh) 1 Meerut 6 Moradabad 3 Munger 3 Muradabad 2 Muzaffar Nagar 3 Muzaffarnagar 3 Muzaffarpur 3 Muzafffernagar 1 Nagaur 13 Nagor 1 Nawada 1 Pali 1 Patna 3 Pauri 2 Pithoragarh 1 Purnia 2 Raipur 1 Rasalpur 1 Rohtas 1 Rohtash 2 Rudrapur 1 Saharanpur 4 Samastipur 5 Shahjahanpur 1 Shikhar 1 Shriganga nagar 1 Sidharth nagar 2 Sikar 5 Siwan 35 Siwan (Bihar) 2 Sultanpur 1 Vaishali 4 jhunjhunu 1 jhunjhunu (Rajasthan) 1 kamalpur 1 Residency in %home_country% Residency in %home_country% 2440 14 1 3 1 Capital City 399 2 Other Urban Area 821 3 Rural area 1220 Sysmiss 14 How old are you? (in years) How old are you? (in years) 2450 4 17 59 What is your current marital status? What is your current marital status? 2454 0 1 6 1 Never married/ single 899 2 Married monogamous 1354 3 Married polygamous 68 4 Common law, union coutumiere, union libre, living together 52 5 Divorced/Separated/ Annuled 55 6 Widow/ widower 26 What is the highest level of education you have completed? What is the highest level of education you have completed? 2102 352 1 88 1 None 63 2 Primary incomplete 131 3 Primary complete 221 4 Secondary incomplete 299 5 Secondary complete 919 6 Post secondary technical/ Tertiery incomplete 244 7 University complete and higher 156 8 Adult education or literacy program 10 9 Not stated 2 88 Other 57 Sysmiss 352 What was the primary reason why you went to %current_country% What was the primary reason why you went to %current_country% 1617 837 1 88 1 To earn higher income 913 2 Because of no-job opportunities in home country 303 3 Because of unexpected medical bills and other bills 5 4 Because of conflicts/ political instability in home country 111 5 Because of drought and other natural disasters 1 6 Because of family problems 188 88 Others 96 Sysmiss 837 What year did you arrive %current_country%? What year did you arrive %current_country%? 2452 2 2008 2016 2008 1 2010 23 2011 13 2012 103 2013 212 2014 762 2015 689 2016 649 Sysmiss 2 How long have you stayed in %current_country%? (in months) How long have you stayed in %current_country%? (in months) 2093 361 0 82 If you have returned %place_born% on vacation/ family visit, how many more month If you have returned %place_born% on vacation/ family visit, how many more months do you expect to live in %current_country% with the current work arrangement? 1534 920 0 120 Is this the first time you have worked abroad? Is this the first time you have worked abroad? 2453 1 0 1 0 No 678 1 Yes 1775 Sysmiss 1 How many times have you worked abroad including the latest one? How many times have you worked abroad including the latest one? 672 1782 0 17 0 4 1 210 2 258 3 74 4 45 5 26 6 11 7 13 8 9 9 1 10 12 12 3 13 2 15 3 17 1 Sysmiss 1782 How many years have you worked abroad excluding the time in %current_country%? How many years have you worked abroad excluding the time in %current_country%? 537 1917 0 22 In which year did you first work abroad, even if it was not %current_country%? In which year did you first work abroad, even if it was not %current_country%? 565 1889 0 2016 Is this the first time you went to %current_country% to work? Is this the first time you went to %current_country% to work? 569 1885 0 1 0 No 240 1 Yes 329 Sysmiss 1885 How did you find out about an opportunity to work in %current_country%? How did you find out about an opportunity to work in %current_country%? 2451 3 1 88 1 Relative/friend 1421 2 Internet 87 3 Newspaper advertisement 28 4 Licensed/ accredited individual recruiter/ broker 415 5 Private recuritment/ manpower agency 281 6 Government employment service center 9 7 Non-government associations (organizations) 5 88 Other 205 Sysmiss 3 Please describe other job information source? Please describe other job information source? 164 " Ð°Ð³ÐµÐ½ÑÑ‚Ð²Ð¾ Ð¿Ð¾ Ñ‚Ñ€ÑƒÐ´Ð¾ÑƒÑÑ‚Ñ€Ð¾Ð¹ÑÑ‚Ð²Ñƒ" 1 "idem come per altri ragazzi, Ã¨ arrivato fino al nord d'africa per poi proseguire " 1 "looked for information on his own " 1 "non sapeva che avrebbe trovato lavoro in italia. " 1 "non sapeva di poter trovare lavoro in italia. voleva solo andare in Europa " 1 "not relevant,lack of safety in Libya " 1 "the year before reaching Italy lived in libya, situation there wasn't safe, so he decided to flee crossing the sea. " 1 "voleva venire in europa " 1 "Ã¨ arrivato qui ""per caso"" scappando dalla guerra" 1 "Ã¨ scappato anche dalla Libia dove dice lo trattavano male e aveva paura per la sua vita. " 1 Arab person in Libya 1 Dice che venire in Europa Ã¨ sempre stato un suo sogno di fin da piccolo, vedendo i giornali e televisioni e capendo che qui c'era piÃ¹ lavoro 1 Direct Hiring 1 Escape form Lybian prison 1 Escape from Lybian war 1 Explorer in Libya 1 Flyers 1 I escape from war 1 I escaped from the war in Libya 1 Libyan employer 1 Libyan militia 1 Non sapeva di poter trovare lavoro in italia. Ã¨ arrivato qui 1 Other people fleeing the Lybian war 1 Tv ads 1 Walk in 2 Walk-in (nahanap niya ng sarili) 1 a causa della guerra in Libia 1 arrivando in libia si Ã¨ imbarcato ed Ã¨ arrivato a lampedusa 1 broker 1 ci Ã¨ capitato. voleva andare in Francia 1 come gli altri, ha seguito il percorso fino alla libia per poi attraversare il mare 1 come molti si Ã¨ trovato qui, ha sentito parlare dell'Italia in Libia 1 conoscenti in Libia 1 costretto a lasciare la Libia 1 costretto ad andarsene dalla Libia 1 da persone che ha conosciuto in Libia 1 da solo 1 da un conoscente in libia dove ha vissuto per 8 mesi 1 dalla Libia di propria iniziativa 1 dalla Libia dopo instabilitÃ 1 dalla Libia dopo instabilitÃ politica 1 dalla Libia, di propria iniziativa 2 datore in Libia 1 di propria iniziativa 7 di propria iniziativa dalla Libia 2 di propria iniziativa dopo la guerra 1 di propria iniziativa Ã¨ salito su barca 1 employer in Nigeria 1 escape form war 1 forced by soldiers to embark 1 forced by the situation in libya 1 forced migration (obliged to step on the boat by militia/military groups) 1 forced to leave by the unsafe situation in Libya 1 forced to leave by the unsafe situation in libya 1 fuga da Libia 1 fuggito da guerra Libia 1 glieme ha parlato qualcuno mentre era in fuga dal mali 1 ha seguito la rotta per l'europa 1 he found information on how to get to Italy once in Libya, by speaking with aquaintances 1 la via piu facile dalla libia 1 lack of safety in Libya 3 lack of safety in libya 1 lack of safety in safety in libia, information provided by smugglers and acquaintances 1 neighbour 1 non aveva idea che sarebbe arrivato in italia, Ã¨ scappato da una situazione di violenza nella zona in cui viveva e che lo metteva in pericolo 1 non aveva programmato di venire in italia 1 non era neanche sua intenzione andare via se non avesse dovuto scappare 1 non ha deciso Ã¨ solo scappato 1 non ha scelto di venire ma arrivando in algeria Ã¨ partito da lÃ¬ 1 non ha scelto, Ã¨ qui per caso 1 non lo sapeva, Ã¨ capitato qui 1 non sapeva 1 non sapeva che poteva venire in italia 1 non sapeva che si sarebbe fermato in italia 1 non sapeva esattamente dove voleva andare 1 non sapeva neanche dove fosse l'italia 1 non sapeva. si Ã¨ trovato qui 1 non voleva venire in italia anche se ne aveva sentito parlare 1 non Ã¨ venuto in italia prioritariamente per cercare lavoro, scappava da persecuzioni religiose 1 not relevant 1 not relevant lack of security in libya 1 not relevant, arrived in Italy due to the situation in Libya 1 not relevant, due to experiences over the journey and the situation in libya 1 not relevant, due to the situation in libya 1 not relevant, escaped from Libya 1 not relevant, insecurity in libya 1 not relevant, lack of safety in Libya 1 not relevant, lack of security in Libya 6 not relevant, lack of security in libya 1 not relevant, situation in Libya 1 not relevant, situation in home country and libia 1 not relevant, unplanned 1 not relevant,insecurity in libya 1 not relevant,lack of safety in Libya 1 not relevant...due to situation in libya 1 not relevant: due to situation in libya 1 not relevant: forced to leave by military forces in Libya 1 not relevant: lack of safety in Libya 2 partito dalla libia di propria iniziativa 1 partito spontaneamente 1 passaparola 1 people he met in Lybia 1 people in Libya 4 people in Lybia 3 people met in Libya 1 propria iniziativa 9 propria iniziativa,fugito per causa politica 1 qui per caso 1 self support 1 si Ã¨ trovato in Italia quasi senza saperlo 1 si Ã¨ trovato per caso 1 smugglers 4 smugglers in libia 1 temeva ritorsioni per motivi politici quindi Ã¨ scappato verso l europa 1 tramite persone che lavoravano con lui in Libia 1 tramite un conoscente 1 tramite una persona che ha conosciuto in Libia 1 voleva venire in europa quindi ha seguito le rotte 1 voleva venire jn Europa non in particolare in italia 1 Ä¾ha sentito dire da persone che ha conosciuto in Senegal e in Libia 1 ÐºÐ°Ðº ÑÑ‚ÑƒÐ´ÐµÐ½Ñ‚ 1 Ð¾Ð¿Ñ‹Ñ‚ 1 Ð¿Ð¾ÑÐ¾Ð²ÐµÑ‚Ð¾Ð²Ð°Ð» Ð²Ñ€Ð°Ñ‡ Ð¿Ð¾ Ð¼ÐµÐ´Ð¸Ñ†Ð¸Ð½ÑÐºÐ¸Ð¼ Ð¿Ð¾ÐºÐ°Ð·Ð°Ð½Ð¸ÑÐ¼ 1 Ñ Ð´ÐµÑ‚ÑÑ‚Ð²Ð° ÑÐ»Ñ‹ÑˆÐ°Ð» Ð¾ Ñ€Ð°Ð±Ð¾Ñ‚Ðµ Ð² Ð Ð¾ÑÑÐ¸Ð¸ 1 ÑÐ°Ð¼ 3 ÑÐ°Ð¼ Ð²ÑÐµ ÑƒÐ·Ð½Ð°Ð» Ð¸Ð· ÑˆÐºÐ¾Ð»Ñ‹ 1 ÑÐ°Ð¼ Ñ€ÐµÑˆÐ¸Ð» 1 ÑÐ»ÑƒÑ‡Ð°Ð¹Ð½Ð¾ Ð² Ð Ð¾ÑÑÐ¸Ð¸ 1 ÑƒÑÐ»Ñ‹ÑˆÐ°Ð»: Ð¾Ñ‚ Ð²ÑÐµÑ…, ÑÐ»ÑƒÑ…Ð¸ 1 How many people have you supported, on a regular basis, financially in %current_ How many people have you supported, on a regular basis, financially in %current_country%? 2064 390 0 99 How many people have you supported, on a regular basis, in %place_born% with rem How many people have you supported, on a regular basis, in %place_born% with remittances? 2098 356 0 99 Do you have any family member who currently lives outside %place_born%? Do you have any family member who currently lives outside %place_born%? 2453 1 0 1 0 No 1785 1 Yes 668 Sysmiss 1 List them: 0 List them 541 0 "Brother " 1 "Ð¼Ð°Ð¼Ð° " 1 0 1 1 cousin 1 1 zio 1 10 cousins 1 10 parenti 1 2 Brother 1 2 Brothers 1 2 brother 1 2 brothers 1 2 cousins 1 2 cugini 1 2 figli che vivono col padre 1 2 fratello 2 sorelle 1 2 fratello,un cugino,papÃ 1 2 sorelle 1 2 uncles 1 2 Ð±Ñ€Ð°Ñ‚Ð° 1 3 uncles 1 4 cugini 1 5 cousins 1 A cousin in cote d'Ivoire 1 Brother 17 Father 2 Nephew 1 Uncle 5 brother 26 brothers 1 cognata, 3 nipoti 1 cousin 3 cugino 4 cugino del padre 1 elder brother 20 elder sister 1 ex marito 1 famigliari,cugini 1 father 5 father and brother 1 figli e fidanzata 1 fratello 6 fratello maggiore 1 grandfather 1 husband and 1 baby 1 husband and 2 children 1 junior brother 4 lontani parenti, no contatti 1 madre 4 mamma 3 marito 4 moglie 2 moglie, 2 figli 1 moglie, figlia 1 padre 7 papa 1 papÃ 1 papÃ zio 1 papÃ , sorella 1 papÃ , zio 1 parenti vari 1 relatives (not close) 1 sister 4 sister in law 1 small brother 7 son 1 sorella 6 tre fratelli 2 uncle 3 wife and 2 children 1 wife and two babies 1 zia 2 zio 6 zio, fratello 1 ÐÐ±Ð´ÑƒÑÐ°Ð¼Ð°Ð´ Ð¡Ð¾Ð»Ñ‚Ð°Ð½Ð¾Ð²Ð¸Ñ‡ 1 ÐÐ¹Ð¶Ð¸ Ð¢ÑƒÑ€ÑÑƒÐ½Ð±ÐµÐºÐ¾Ð²Ð½Ð° 1 ÐÐ¸Ð³Ð¸Ð½Ð° 1 Ð¡Ð²ÐµÑ‚Ð° 1 Ð¡ÐµÑÑ‚Ñ€Ð° 1 Ð¡Ð¾Ð»Ñ‚Ð°Ð½ Ð¢Ð¾Ð³Ð°ÐµÐ²Ð¸Ñ‡ 1 Ð¢ÑŽÐ»ÑŽÑ‚Ð°Ð¹ Ð‘ÐµÐºÐ¾Ð²Ð¸Ñ‡ 1 Ð±Ñ€Ð°Ñ‚ 62 Ð±Ñ€Ð°Ñ‚ Ð‘ÐµÐ»ÑŒÐ³Ð¸Ñ 1 Ð±Ñ€Ð°Ñ‚ ÑˆÐ°Ð½ 1 Ð´ÐµÑ‚Ð¸ 1 Ð´Ð¶Ð°Ð½ÑƒÐ·Ð°Ðº 1 Ð´Ð¾Ñ‡ÑŒ 7 Ð´Ð¾Ñ‡ÑŒ, Ð¼Ð°Ð¼Ð° 1 Ð´ÑÐ´Ñ 7 Ð´ÑÐ´Ñ ÐÐºÐ±Ð°Ñ€ 1 Ð´ÑÐ´Ñ ÐÐ»Ð¸Ð¼ 1 Ð´ÑÐ´Ñ Ñ‚Ð¸Ð¼ÑƒÑ€ 1 Ð¶ÐµÐ½Ð° 66 Ð¶ÐµÐ½Ð° ÐÑÐ½Ð° 1 Ð¶ÐµÐ½Ð° ÐÐ¸Ð³Ð¾Ñ€Ð° 1 Ð¶ÐµÐ½Ð° Ð¡Ð°Ð»Ñ‚Ð°Ð½Ð°Ñ‚ 1 Ð¶ÐµÐ½Ð° Ð¡Ð¾Ð³Ð´Ð¸Ð°Ð½Ð° 1 Ð¶ÐµÐ½Ð° Ð¡Ñ‹Ð»Ð´Ñ‹Ñ 1 Ð¶ÐµÐ½Ð° Ð¢Ð°Ð¼Ð°Ð½Ð½Ð¾ 1 Ð¶ÐµÐ½Ð° Ð£Ñ€ÑƒÑÐ° 1 Ð¶ÐµÐ½Ð° Ð¥Ð°Ð´Ð¸Ñ‡Ð° 1 Ð¶ÐµÐ½Ð° Ð§Ð°Ð¼Ð°Ð½ 1 Ð¶ÐµÐ½Ð° Ð¸ 2ÑÑ‹Ð½Ð° 1 Ð¶ÐµÐ½Ð° Ð½ÑƒÑ€Ð±Ð°Ð½Ð° 1 Ð¶ÐµÐ½Ð° ÐœÐ°Ð»Ð¸Ð½Ð° 1 Ð¶ÐµÐ½Ð° Ð–Ð°Ð·Ð³ÑƒÐ»ÑŒ 1 Ð¶ÐµÐ½Ð° Ð”Ð°Ð¹Ñ€Ð° 1 Ð¶ÐµÐ½Ð° Ð”Ð¸Ð»Ð¾Ñ€Ð¾Ð¼ 1 Ð¶ÐµÐ½Ð° Ð”Ð¸Ð¿Ð¿Ð°Ð·Ð¸Ñ€ 1 Ð¶ÐµÐ½Ð°, ÑÑ‹Ð½, 2 Ð´Ð¾Ñ‡ÐµÑ€Ð¸ 1 Ð¼Ð°Ð¼Ð° 23 Ð¼Ð°Ð¼Ð° Ð¿Ð°Ð¿Ð° 2 Ð¼Ð°Ð¼Ð°, Ð±Ñ€Ð°Ñ‚ 1 Ð¼Ð°Ð¼Ð°, Ð¿Ð°Ð¿Ð°, 2 ÑÐµÑÑ‚Ñ€Ñ‹, Ð±Ñ€Ð°Ñ‚ 1 Ð¼Ð°Ð¼Ð°, Ð¿Ð°Ð¿Ð°, Ð±Ñ€Ð°Ñ‚, ÑÐµÑÑ‚Ñ€Ð° 1 Ð¼Ð°Ð¼Ð°, Ð¿Ð°Ð¿Ð°, Ð´Ð¾Ñ‡ÑŒ 1 Ð¼Ð°Ñ‚ÑŒ 11 Ð¼Ð°Ñ‚ÑŒ Ð ÑƒÑ…Ð°Ñ„Ð·Ð¾ 1 Ð¼Ð°Ñ‚ÑŒ, Ð¾Ñ‚ÐµÑ† 2 Ð¼ÑƒÐ¶ 40 Ð¼ÑƒÐ¶ ÐÐ½Ð·ÑƒÑ€ 1 Ð¼ÑƒÐ¶ ÐÐ°Ð¸Ð± 1 Ð¼ÑƒÐ¶ Ð¡Ð°Ð½Ñ‚Ð°Ñ€Ð±ÐµÐº 1 Ð¼ÑƒÐ¶ Ð£Ð¼Ð°Ñ€ 1 Ð¼ÑƒÐ¶ Ð¾ÐºÐ¸Ð»ÑŒÐ´Ð¶Ð°Ð½ 1 Ð¼ÑƒÐ¶ Ð”Ð¶Ð°Ð²Ð»Ð¾Ð½ 1 Ð¼ÑƒÐ¶, Ñ€ÐµÐ±ÐµÐ½Ð¾Ðº 1 Ð½ÐµÑ‚ 2 Ð¾Ñ‚ÐµÑ† 7 Ð¾Ñ‚ÐµÑ† Ð¸ÑÐºÐ°Ð½Ð´Ð°Ñ€ 1 Ð¾Ñ‚ÐµÑ†, Ð¼Ð°Ñ‚ÑŒ, Ð±Ñ€Ð°Ñ‚ 1 Ð¿Ð»ÐµÐ¼ÑÐ½Ð½Ð¸Ðº 4 ÐœÐ°Ð¼Ð° 1 ÐœÐ°Ñ‚ÑŒ 2 ÐœÐ°Ñ€Ð¸Ñ„Ð°Ñ‚ 1 ÐœÑƒÐ¶ 2 ÐšÐ°Ð»Ð¼ÑƒÑ€Ð°Ñ‚ ÐžÑ€ÑƒÐ½Ð±Ð°ÑÐ°Ñ€Ð¾Ð²Ð¸Ñ‡ 1 ÐšÑƒÑ‚Ð°Ðº ÐžÐ¹Ð±ÐµÐºÐ¾Ð²Ð¸Ñ‡ 1 ÐžÐ¹Ð±ÐµÐº Ð¢ÑƒÑ€Ð°ÐºÑƒÐ»Ð¾Ð²Ð¸Ñ‡ 1 ÐžÑÑ‚Ð¾Ð½ Ð¥Ð°Ð¹Ñ€Ð¾Ð»Ð¾Ð²Ð¸Ñ‡ 1 Ð–ÐµÐ½Ð° 2 Ð–ÐµÐ½Ð¸ÑˆÐ±ÐµÐº Ð‘Ð°Ð³Ð»Ð°Ð½Ð¾Ð²Ð¸Ñ‡ 1 Ð—ÑƒÑ…Ñ€Ð° ÐÑÑ„Ð°Ð½Ð´Ð¸Ñ€Ð¾Ð²Ð½Ð° 1 Ð‘Ñ€Ð°Ñ‚ 7 Ð“ÑƒÐ»ÑŒÐ±Ð°Ñ€Ð° 1 Ð“ÑƒÐ»ÑŒÐ½Ð°Ñ€Ð°, ÑÑ‚Ð°Ñ€ÑˆÐ°Ñ ÑÐµÑÑ‚Ñ€Ð° 1 Ð”Ð¶Ð°Ð½ÑƒÐ·Ð°Ðº ÐÐ±Ð°ÐµÐ²Ð¸Ñ‡ 1 Ð”Ð¶Ð¾Ð±Ð¸Ñ€ ÐžÐ´Ð¸Ð»Ð¾Ð²Ð¸Ñ‡ 1 Ð”Ð¸Ð½Ð¾Ñ€Ð° Ð‘Ð¾Ð±Ð¾ÐºÑƒÐ»Ð¾Ð²Ð½Ð° 1 ÑÐµÑÑ‚Ñ€Ð° 16 ÑÐµÑÑ‚Ñ€Ð° Ð³ÑƒÐ»Ñ 1 ÑÐµÑÑ‚Ñ€Ð° Ð´Ð¸Ð´Ð¾Ñ€Ð° 1 ÑÑ‚Ð°Ñ€ÑˆÐ¸Ð¹ Ð±Ñ€Ð°Ñ‚ 3 ÑÑ‹Ð½ 11 ÑƒÐ»ÑƒÐ³Ð±ÐµÐº 1 ÑˆÐ°Ñ…Ð¸Ð¾Ð·Ð° 1 Ñ‚ÐµÑ‚Ñ 3 Ñ‹Ñ€Ñ‹ÑÐ±ÐµÐº 1 Ñ€ÐµÐ±ÐµÐ½Ð¾Ðº 4 Ñ€Ð¾Ð´Ð½Ñ 1 List them: 1 List them 192 0 1 brother in law 1 2 Fratelli 1 2 figli 1 2 uncles 1 2 Ð´ÐµÑ‚ÐµÐ¹ 1 3 Ð´ÐµÑ‚ÐµÐ¹ 5 3 Ñ€ÐµÐ±ÐµÐ½ÐºÐ° 1 4 Ð´ÐµÑ‚ÐµÐ¹ 1 4 Ñ€ÐµÐ±ÐµÐ½ÐºÐ° 1 Brother 2 person 1 brother 4 cognato 1 cognato (marito sorelle) 1 cousin 1 father 1 figlia (con marito e 1 figlio) 1 figlio 1 fratello 3 fratello maggiore 1 madre 1 padre 3 sister 1 sorella minore 1 uncle 1 zia 2 zio 2 Ð¡ÐµÑÑ‚Ñ€Ð° 2 Ð¡Ñ‹Ð½ 1 Ð¢Ð°ÑÑ€ Ð¢ÑƒÑ€Ð°ÐºÑƒÐ»Ð¾Ð²Ð¸Ñ‡ 1 Ð¤Ð°Ñ€Ð¾Ñ… 1 Ð±Ñ€Ð°Ñ‚ 8 Ð±Ñ€Ð°Ñ‚ Ñ‚Ð¸Ð»Ð¾ 1 Ð´ÐµÑ‚Ð¸ 1 Ð´Ð¶Ð°Ð¹Ð½Ð° 1 Ð´Ð¾Ñ‡ÑŒ 15 Ð´Ð¾Ñ‡ÑŒ ÐÐºÑ‹Ð»Ð°Ð¹ 1 Ð´Ð¾Ñ‡ÑŒ ÐÐ¸ÑÑÐ¾ 1 Ð´Ð¾Ñ‡ÑŒ Ð¡Ð¸Ð¶Ð¾Ñ€Ð° 1 Ð´Ð¾Ñ‡ÑŒ Ð¡Ð¸ÑÑ€Ð° 1 Ð´Ð¾Ñ‡ÑŒ Ð¡ÑƒÐ¼Ð°Ð½ 1 Ð´Ð¾Ñ‡ÑŒ Ð˜Ð·Ð»Ñ 1 Ð´Ð¾Ñ‡ÑŒ ÑÐ°Ñ€Ð³Ð¸Ð½ÐµÐ· 1 Ð´ÑÐ´Ñ 5 Ð¶ÐµÐ½Ð° 1 Ð¶ÐµÐ½Ð° Ð¡Ð°Ð±Ð·Ð¸ 1 Ð·ÑÑ‚ÑŒ 2 Ð·ÑÑ‚ÑŒ Ð°Ð¹Ð±ÐµÐº 1 ÐºÐ°Ñ€Ð¸Ð¼Ð° 1 Ð¼Ð°Ð¼Ð° 2 Ð¼Ð°Ñ‚ÑŒ 3 Ð¼ÑƒÐ¶ 2 Ð¼ÑƒÐ¶ ÑÐµÑÑ‚Ñ€Ñ‹ 1 Ð½ÑƒÑ€ÐºÐ° 1 Ð¾Ñ‚ÐµÑ† 6 Ð¿Ð°Ð¿Ð° 11 Ð¿Ð»ÐµÐ¼ÑÐ½Ð½Ð¸Ðº Ð¼ÑƒÑ…Ð°Ð¼ÐµÐ´ 1 ÐœÐ°Ñ‚ÑŒ 1 ÐœÐ¸Ñ…Ð¼Ð°Ñ‚ 1 ÐœÐ¸Ñ€Ð·Ð¾Ð½Ð°Ð·Ð°Ñ€ 1 ÐœÐ¸Ñ€Ð¸Ð¼ ÐžÑÐ¼Ð°Ð½Ð¾Ð²Ð½Ð° 1 ÐšÐ°Ð¹Ð½Ð°Ñ€Ð±ÐµÐº 1 ÐžÑ‚ÐµÑ† 1 Ð”Ð¾Ñ‡ÑŒ 3 ÑÐ²ÐµÐºÑ€Ð¾Ð²ÑŒ 1 ÑÐµÑÑ‚Ñ€Ð° 14 ÑÑ‹Ð½ 24 ÑÑ‹Ð½ ÐÑƒÑ€ÑÑƒÐ»Ñ‚Ð°Ð½ 1 ÑÑ‹Ð½ Ð¡Ð°Ð¸Ð´ 1 ÑÑ‹Ð½ Ð¡Ð°Ð¹Ñ„ÑƒÐ´Ð¸Ð½ 1 ÑÑ‹Ð½ Ð¡ÐµÐ³Ð¸Ð· 1 ÑÑ‹Ð½ Ð¢Ð°Ð±Ð°Ñ€ 1 ÑÑ‹Ð½ Ð‘Ð°Ð³Ð»Ð°Ð½ 1 ÑÑ‹Ð½ Ð”Ð°Ð»ÐµÑ€ 1 ÑÑ‹Ð½ Ð”Ð°Ð½ÑˆÐ°Ð½ 1 ÑÑ‹Ð½ Ð”Ð¶Ð¾Ð±Ð¸Ñ€ 1 ÑÑ‹Ð½ Ð”Ð¸Ð»Ð¼ÑƒÑ€Ð¾Ð´ 1 ÑÑ‹Ð½ Ð”Ð¾Ð¼ÑƒÐ»Ð»Ð¾ 1 ÑÑ‹Ð½ Ð”Ñ‹Ð»Ð´ÐµÑ‚ 1 Ñ‚ÐµÑ‚Ñ 2 Ñ€Ð°Ñ…Ð°Ñ‚ 1 Ñ€ÐµÐ±ÐµÐ½Ð¾Ðº 14 List them: 2 List them 95 0 2 cousins 1 3 nipoti 1 5 Ð´ÐµÑ‚ÐµÐ¹ 1 brother 1 cousin 1 cugino 1 figlio 1 figlio (con moglie e 2 figli) 1 husband 1 mother 1 nipote 1 sorella 2 zio 1 ÐÐ¹Ð³ÐµÑ€ÑÑˆ 1 Ð¡ÐµÑÑ‚Ñ€Ð° 2 Ð°Ð¶Ð°Ð¼Ð°Ð» 1 Ð°Ð»Ð¸Ð´Ð¶Ð°Ð½ 1 Ð±Ð°Ð±ÑƒÑˆÐºÐ° 1 Ð±Ñ€Ð°Ñ‚ 8 Ð±Ñ€Ð°Ñ‚ ÑˆÐµÑ€ 1 Ð²Ð½ÑƒÐº 1 Ð´ÐµÑ‚Ð¸ 1 Ð´Ð¾Ñ‡ÑŒ 8 Ð´Ð¾Ñ‡ÑŒ ÐÐ²Ð²Ð°Ð»Ð¼Ð¾ 1 Ð´Ð¾Ñ‡ÑŒ Ð¨Ð°Ñ…Ð½Ð¾Ð·Ð° 1 Ð´Ð¾Ñ‡ÑŒ Ð³Ð¸Ð»ÑŒÑÐ¾Ð¾Ð´Ðµ 1 Ð¶ÐµÐ½Ð° 1 Ð¶ÐµÐ½Ð° Ð±Ñ€Ð°Ñ‚Ð° 1 Ð¼Ð°Ð¼Ð° 3 Ð¼Ð°Ñ‚ÑŒ 3 Ð¼Ð°Ñ‚ÑŒ Ð Ñ‹Ð¼ 1 Ð¼Ð°Ñ‚ÑŒ Ð§Ð¸Ð½Ð¸ 1 Ð¼ÑƒÐ¶ 3 Ð¾Ñ‚ÐµÑ† 1 Ð¿Ð»ÐµÐ¼ÑÐ½Ð½Ð¸Ðº 1 Ð¿Ð»ÐµÐ¼ÑÐ½Ð½Ð¸Ðº Ð¸Ð»ÑŒÑ…Ð¾Ð´Ð¶Ð¾Ð½ 1 ÐžÑ‚ÐµÑ† 1 Ð“ÑƒÐ»ÑŒÐ±Ð°Ñ€Ð° 1 Ð”Ð¾Ñ‡ÑŒ 3 ÑÐµÑÑ‚Ñ€Ð° 7 ÑÑ‹Ð½ 12 ÑÑ‹Ð½ ÐÐ±Ð°Ð¹ 1 ÑÑ‹Ð½ ÐÐ»Ð¸Ð¼Ð°Ð´ 1 ÑÑ‹Ð½ Ð Ð¾Ð¼Ð¸Ñˆ 1 ÑÑ‹Ð½ Ð ÑƒÑ…ÑˆÐ¾Ð½ 1 ÑÑ‹Ð½ Ð¡Ñ‹Ð¹Ñ‚Ñ‹Ðº 1 ÑÑ‹Ð½ ÐžÑ€Ð·Ñƒ 1 ÑÑ‹Ð½ ÐžÑ€Ð¼Ð°Ñ‚ 1 ÑÑ‹Ð½ Ð–ÑƒÐ½ÑƒÑ 1 Ñ‚ÐµÑ‚Ñ 1 Ñ€ÐµÐ±ÐµÐ½Ð¾Ðµ 1 Ñ€ÐµÐ±ÐµÐ½Ð¾Ðº 3 List them: 3 List them 35 0 cugino 2 fratello 1 fratello (con famiglia) 1 fratello del marito 1 Ð±Ñ€Ð°Ñ‚ 6 Ð´ÐµÑ‚Ð¸ 1 Ð´Ð¾Ñ‡ÑŒ 4 Ð´Ð¾Ñ‡ÑŒ Ð´ÑƒÑ€Ð´Ð°Ð½Ð° 1 Ð¶ÐµÐ½Ð° 1 Ð¼Ð°Ñ‚ÑŒ 2 Ð¼ÑƒÐ¶ ÑÐµÑÑ‚Ñ€Ñ‹ 1 Ð¿Ð°Ð¿Ð° 1 Ð¿Ð»ÐµÐ¼ÑÐ½Ð½Ð¸Ðº ÑƒÐ¼Ð¸Ð´ 1 Ð‘Ð°Ð¹ÑÐ»ÑŒ 1 Ð”Ð¾Ñ‡ÑŒ 1 ÑÐ²ÐµÐºÑ€ 1 ÑÐµÑÑ‚Ñ€Ð° 3 ÑÑ‹Ð½ 4 ÑÑ‹Ð½ 2 1 ÑƒÑ€Ð°Ð¼Ð¼Ð°Ð½Ð°Ð· 1 List them: 4 List them 16 0 moglie del fratello del marito 1 sorella (con famiglia) 1 Ð¡Ñ‹Ð½ 1 Ð±Ñ€Ð°Ñ‚ 2 Ð¼ÑƒÐ¶ 1 Ð¼ÑƒÐ¶ ÑÐµÑÑ‚Ñ€Ñ‹ 1 Ð¿Ð»ÐµÐ¼ÑÐ½Ð½Ð¸Ñ†Ð° Ð´Ð¸Ð¹Ð¾Ñ€Ð° 1 Ð”Ð°Ð½Ð¸ÑÐ»ÑŒ 1 ÑÐµÑÑ‚Ñ€Ð° 5 ÑÑ‹Ð½ 2 List them: 5 List them 5 0 nipoti 1 Ð¡Ñ‹Ð½ 1 Ð±Ñ€Ð°Ñ‚ 1 Ð´Ð¾Ñ‡ÑŒ 1 ÑÐµÑÑ‚Ñ€Ð° 1 List them: 6 List them 3 0 Ð±Ñ€Ð°Ñ‚ 2 ÑÐµÑÑ‚Ñ€Ð° 1 list member of migrants living in currency country:0 Who currently live in %current_country%? 537 0 "Brother " 1 0 32 1 brother in law 1 1 zio 1 2 Brother 1 2 Brothers 1 2 brothers 1 2 cugini 1 2 figli 1 2Ð¶ÐµÐ½Ñ‹ 1 Brother 17 Father 2 Nephew 1 Uncle 4 brother 20 brothers 1 cousin 1 cugino 2 cugino del padre 1 elder brother 20 elder sister 1 ex marito 1 father 5 father and brother 1 fratello 2 fratello cugino 1 fratello del marito 1 husband 1 husband and 1 baby 1 husband and 2 children 1 junior brother 4 madre 1 marito 4 nessuna 2 nessuna, stanno in Gambia 1 nessuno 23 none 3 padre 5 papa 1 papÃ zio 1 papÃ , sorella 1 papÃ ,zio 1 sister 2 sister in law 1 small brother 7 son 1 sorella 1 tutt'e tre 1 tutti 1 uncle 2 wife and two babies 1 zio 1 zio, fratello 1 ÐÐ¹Ð±ÐµÐº ÐÐ¼Ð°Ð»ÑÑ‚Ð´Ð¸Ð½Ð¾Ð²Ð¸Ñ‡ 1 ÐÐ¹Ð¶Ð¸ Ð¢ÑƒÑ€Ñ€ÑÑƒÐ½Ð±ÐµÐºÐ¾Ð²Ð½Ð° 1 Ð¡ÐµÑÑ‚Ñ€Ð° 1 Ð¡Ð¾Ð»Ñ‚Ð°Ð½ Ð¢Ð¾Ð³Ð°ÐµÐ²Ð¸Ñ‡ 1 Ð¢Ð°ÑÑ€ Ð¢ÑƒÑ€Ð°ÐºÑƒÐ»Ð¾Ð²Ð¸Ñ‡ 1 Ð¢ÑŽÐ»ÑŽÑ‚Ð°Ð¹ Ð‘ÐµÐºÐ¾Ð²Ð¸Ñ‡ 1 Ð¯ 1 Ð±Ð°Ñ…Ñ‚Ð¸Ð¾Ñ€ 1 Ð±Ñ€Ð°Ñ‚ 59 Ð±Ñ€Ð°Ñ‚ Ð² ÐœÐ¾ÑÐºÐ²Ðµ 1 Ð±Ñ€Ð°Ñ‚ ÑˆÐ°Ð½ 1 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Ð¼Ð°Ñ‚ÑŒ 2 Ð¼Ð°Ñ‚ÑŒ Ð Ñ‹Ð¼ 1 Ð¼Ð°Ñ‚ÑŒ Ð§Ð¸Ð½Ð¸ 1 Ð¼ÑƒÐ¶ 3 Ð¾Ñ‚ÐµÑ† 1 Ð¿Ð»ÐµÐ¼ÑÐ½Ð½Ð¸Ðº 1 Ð¿Ð»ÐµÐ¼ÑÐ½Ð½Ð¸Ðº Ð¸Ð»ÑŒÐ´Ð¶Ð¾Ð½ 1 Ð‘Ñ€Ð°Ñ‚ 1 Ð“ÑƒÐ»ÑŒÐ±Ð°Ñ€Ð° 1 Ð”Ð¾Ñ‡ÑŒ 3 ÑÐµÑÑ‚Ñ€Ð° 6 ÑÑ‹Ð½ 13 ÑÑ‹Ð½ ÐÐ±Ð°Ð¹ 1 ÑÑ‹Ð½ ÐÐ»Ð¸Ð¼Ð°Ð´ 1 ÑÑ‹Ð½ Ð Ð¾Ð¼Ð¸Ñˆ 1 ÑÑ‹Ð½ Ð ÑƒÑ…ÑˆÐ¾Ð½ 1 ÑÑ‹Ð½ ÐžÑ€Ð·Ñƒ 1 ÑÑ‹Ð½ ÐžÑ€Ð¼Ð°Ñ‚ 1 ÑÑ‹Ð½ Ð–ÑƒÐ½ÑƒÑ 1 Ñ‚ÐµÑ‚Ñ 1 Ñ€ÐµÐ±ÐµÐ½Ð¾Ðº 4 list member of migrants living in currency country:3 Who currently live in %current_country%? 23 0 Ð±Ñ€Ð°Ñ‚ 4 Ð´Ð¾Ñ‡ÑŒ 4 Ð´Ð¾Ñ‡ÑŒ Ð´ÑƒÑ€Ð´Ð°Ð½Ð° 1 Ð¼Ð°Ñ‚ÑŒ 2 Ð¼ÑƒÐ¶ ÑÐµÑÑ‚Ñ€Ñ‹ 1 Ð¿Ð°Ð¿Ð° 1 Ð¿Ð»ÐµÐ¼ÑÐ½Ð½Ð¸Ðº ÑƒÐ¼Ð¸Ð´ 1 Ð”Ð¾Ñ‡ÑŒ 1 ÑÐ²ÐµÐºÑ€ 1 ÑÐµÑÑ‚Ñ€Ð° 3 ÑÑ‹Ð½ 3 ÑÑ‹Ð½ 2 1 list member of migrants living in currency country:4 Who currently live in %current_country%? 10 0 Ð¡Ñ‹Ð½ 1 Ð±Ñ€Ð°Ñ‚ 2 Ð¼ÑƒÐ¶ 1 Ð¼ÑƒÐ¶ ÑÐµÑÑ‚Ñ€Ñ‹ 1 Ð¿Ð»ÐµÐ¼ÑÐ½Ð½Ð¸Ñ†Ð° Ð´Ð¸Ð¹Ð¾Ñ€Ð° 1 ÑÐµÑÑ‚Ñ€Ð° 3 ÑÑ‹Ð½ 1 list member of migrants living in currency country:5 Who currently live in %current_country%? 3 0 Ð¡Ñ‹Ð½ 1 Ð±Ñ€Ð°Ñ‚ 1 ÑÐµÑÑ‚Ñ€Ð° 1 list member of migrants living in currency country:6 Who currently live in %current_country%? 2 0 Ð±Ñ€Ð°Ñ‚ 1 ÑÐµÑÑ‚Ñ€Ð° 1 In total, how much have you and your family spent to go to %current_country% for In total, how much have you and your family spent to go to %current_country% for the recent job? 2208 246 0 3000000 2016 constant USD equivalent of tot_exp In total, how much have you and your family spent to go to %current_country% for the recent job? 2204 250 0 251296.688 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 2225 229 51 166 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 102 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 3 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 409 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 55 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 30 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 1 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 351 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 19 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 452 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 604 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 2 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 23 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 66 157 uruguayan peso 0 158 uzbekistani som 28 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 8 166 West Africa CFA Franc 72 Sysmiss 229 What were these payments for?:Passport What were these payments for? 2255 199 0 1 0 984 1 1271 Sysmiss 199 How much did you pay for passport? How much did you pay for %rostertitle%? 2209 245 0 1150000 2016 constant USD equivalent of costs for passport 2207 247 0 19143.213 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 1269 1185 51 166 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 17 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 407 69 indonesian rupiah 1 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 13 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 1 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 1 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 317 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 4 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 292 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 146 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 1 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 16 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 26 157 uruguayan peso 0 158 uzbekistani som 20 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 7 Sysmiss 1185 What were these payments for?:Visa What were these payments for? 2255 199 0 1 0 1979 1 276 Sysmiss 199 How much did you pay for visa? How much did you pay for %rostertitle%? 2112 342 0 2000000 2016 constant USD equivalent of costs for visa 2112 342 0 16592.92 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 336 2118 51 166 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 15 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 3 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 3 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 1 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 222 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 3 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 13 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 61 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 2 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 1 157 uruguayan peso 0 158 uzbekistani som 3 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 9 Sysmiss 2118 What were these payments for?:Work permit What were these payments for? 2255 199 0 1 0 1849 1 406 Sysmiss 199 How much did you pay for work permit? How much did you pay for %rostertitle%? 2213 241 0 150000 2016 constant USD equivalent of costs for work permit 2213 241 0 20276.342 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 436 2018 51 166 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 11 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 3 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 5 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 37 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 0 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 6 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 367 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 2 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 3 157 uruguayan peso 0 158 uzbekistani som 1 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 1 Sysmiss 2018 What were these payments for?:Placement fees What were these payments for? 2255 199 0 1 0 1919 1 336 Sysmiss 199 How much did you pay for placement fees? How much did you pay for %rostertitle%? 1815 639 0 96600 2016 constant USD equivalent of costs for placement fees 1814 640 0 2551.832 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 344 2110 80 143 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 0 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 0 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 1 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 130 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 0 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 119 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 87 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 4 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 3 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 0 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 0 Sysmiss 2110 What were these payments for?:Service fees for relatives/ friends who help find What were these payments for? 2255 199 0 1 0 2145 1 110 Sysmiss 199 How much did you pay for service fees for relatives/friends who help find a job? How much did you pay for %rostertitle%? 2249 205 0 115200 2016 constant USD equivalent of costs for service fees for relatives/friends who 2249 205 0 1913.693 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 110 2344 68 156 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 0 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 76 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 0 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 2 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 0 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 0 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 29 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 1 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 2 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 0 Sysmiss 2344 What were these payments for?:Service fees for individual brokers What were these payments for? 2255 199 0 1 0 1573 1 682 Sysmiss 199 How much did you pay for service fees for individual brokers? How much did you pay for %rostertitle%? 2252 202 0 175000 2016 constant USD equivalent of costs for service fees for individual brokers 2252 202 0 1894.158 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 681 1773 68 143 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 0 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 322 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 0 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 326 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 1 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 14 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 15 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 1 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 2 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 0 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 0 Sysmiss 1773 What were these payments for?:Service fees for recruitment/ manpower agencies What were these payments for? 1904 550 0 1 0 1847 1 57 Sysmiss 550 How much did you pay for service fees for recruitment/manpower agencies? How much did you pay for %rostertitle%? 1892 562 0 67800 2016 constant USD equivalent of costs for service fees for recruitment/manpower 1892 562 0 4424.779 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 57 2397 51 143 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 1 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 10 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 1 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 0 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 0 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 21 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 21 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 2 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 1 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 0 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 0 Sysmiss 2397 What were these payments for?:Language training What were these payments for? 2255 199 0 1 0 2194 1 61 Sysmiss 199 How much did you pay for language training? How much did you pay for %rostertitle%? 1839 615 0 180000 2016 constant USD equivalent of costs for language training 1839 615 0 2991.104 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 71 2383 51 143 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 1 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 0 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 0 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 17 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 0 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 1 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 50 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 2 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 0 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 0 Sysmiss 2383 What were these payments for?:Skills certificates/ testing What were these payments for? 2255 199 0 1 0 1899 1 356 Sysmiss 199 How much did you pay for skills certificates/testing? How much did you pay for %rostertitle%? 2249 205 0 70000 2016 constant USD equivalent of costs for skills certificates/testing 2249 205 0 651.403 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 355 2099 51 158 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 1 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 134 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 0 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 128 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 0 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 41 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 50 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 0 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 0 157 uruguayan peso 0 158 uzbekistani som 1 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 0 Sysmiss 2099 What were these payments for?:Medical exam What were these payments for? 2255 199 0 1 0 904 1 1351 Sysmiss 199 How much did you pay for medical exam? How much did you pay for %rostertitle%? 2231 223 0 68000 2016 constant USD equivalent of costs for medical exam 2230 224 0 809.011 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 1352 1102 51 158 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 1 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 409 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 5 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 332 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 0 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 238 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 363 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 1 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 2 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 0 157 uruguayan peso 0 158 uzbekistani som 1 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 0 Sysmiss 1102 What were these payments for?:Police/security clearance What were these payments for? 2255 199 0 1 0 1942 1 313 Sysmiss 199 How much did you pay for police/security clearance? How much did you pay for %rostertitle%? 2000 454 0 50000 2016 constant USD equivalent of costs for olice/security clearance 1999 455 0 785.435 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 336 2118 80 143 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 0 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 0 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 3 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 110 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 0 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 154 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 68 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 1 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 0 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 0 Sysmiss 2118 What were these payments for?:Exit clearance from the home government What were these payments for? 2255 199 0 1 0 2225 1 30 Sysmiss 199 How much did you pay for exit clearance from the home government? How much did you pay for %rostertitle%? 1844 610 0 15000 2016 constant USD equivalent of costs for exit clearance from the home governmen 1844 610 0 2053.273 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 31 2423 80 143 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 0 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 0 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 3 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 2 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 0 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 14 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 10 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 2 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 0 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 0 Sysmiss 2423 What were these payments for?:Contract approval from the home government What were these payments for? 2255 199 0 1 0 2065 1 190 Sysmiss 199 How much did you pay for contract approval from the home government? How much did you pay for %rostertitle%? 1105 1349 0 3500 2016 constant USD equivalent of costs for contract approval from the home govern 1105 1349 0 64.721 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 190 2264 102 120 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 0 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 0 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 0 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 183 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 0 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 0 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 7 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 0 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 0 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 0 Sysmiss 2264 What were these payments for?:Pre-departure training/ briefing What were these payments for? 2255 199 0 1 0 1739 1 516 Sysmiss 199 How much did you pay for pre-departure training/briefing? How much did you pay for %rostertitle%? 1997 457 0 35000 2016 constant USD equivalent of costs for pre-departure training/briefing 1997 457 0 581.604 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 516 1938 68 120 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 0 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 361 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 0 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 123 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 0 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 30 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 2 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 0 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 0 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 0 Sysmiss 1938 What were these payments for?:Health/ life insurance/ social securityplans What were these payments for? 2255 199 0 1 0 1427 1 828 Sysmiss 199 How much did you pay for health/life insurance/social security plans? How much did you pay for %rostertitle%? 2248 206 0 200000 2016 constant USD equivalent of costs for health/life insurance/social security 2247 207 0 770.238 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 827 1627 51 120 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 1 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 407 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 2 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 287 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 1 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 25 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 104 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 0 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 0 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 0 Sysmiss 1627 What were these payments for?:Overseas migrant welfare fund What were these payments for? 2255 199 0 1 0 2230 1 25 Sysmiss 199 How much did you pay for overseas migrant welfare fund? How much did you pay for %rostertitle%? 2002 452 0 3800 2016 constant USD equivalent of costs for overseas migrant welfare fund 2002 452 0 86.778 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 25 2429 68 120 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 0 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 1 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 0 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 2 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 0 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 15 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 7 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 0 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 0 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 0 Sysmiss 2429 What were these payments for?:Internal transportation What were these payments for? 2255 199 0 1 0 950 1 1305 Sysmiss 199 How much did you pay for internal transportation? How much did you pay for %rostertitle%? 2239 215 0 630000 2016 constant USD equivalent of costs for internal transportation 2238 216 0 1291.839 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 1301 1153 51 166 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 10 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 409 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 6 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 1 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 339 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 0 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 409 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 100 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 7 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 1 157 uruguayan peso 0 158 uzbekistani som 5 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 14 Sysmiss 1153 What were these payments for?:International transportation What were these payments for? 2255 199 0 1 0 1080 1 1175 Sysmiss 199 How much did you pay for international transportation? How much did you pay for %rostertitle%? 2109 345 0 2500000 2016 constant USD equivalent of costs for international transportation 2109 345 0 38286.426 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 1169 1285 51 166 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 81 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 3 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 409 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 35 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 33 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 1 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 109 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 16 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 4 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 323 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 8 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 57 157 uruguayan peso 0 158 uzbekistani som 9 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 8 166 West Africa CFA Franc 73 Sysmiss 1285 What were these payments for?:Others What were these payments for? 2255 199 0 1 0 1804 1 451 Sysmiss 199 How much did you pay for other items? How much did you pay for %rostertitle%? 1829 625 0 1700000 2016 constant USD equivalent of costs for other items 1829 625 0 64470.582 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 470 1984 51 166 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 35 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 1 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 0 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 8 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 15 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 26 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 9 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 163 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 164 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 1 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 3 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 3 157 uruguayan peso 0 158 uzbekistani som 2 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 3 166 West Africa CFA Franc 37 Sysmiss 1984 What were the other payments for?:Expedite passport process What were the other payments for? 433 2021 0 1 0 418 1 15 Sysmiss 2021 How much did you pay for expedite passport process How much did you pay for %rostertitle%? 432 2022 0 100000 2016 constant USD equivalent of costs for expedite passport process 432 2022 0 805.882 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 331 2123 51 120 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 1 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 0 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 1 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 317 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 1 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 1 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 10 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 0 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 0 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 0 Sysmiss 2123 What were the other payments for?:Expedite local government clearance process What were the other payments for? 433 2021 0 1 0 430 1 3 Sysmiss 2021 How much did you pay for expedite local government clearance process How much did you pay for %rostertitle%? 433 2021 0 100000 2016 constant USD equivalent of costs for expedite local government clearance pr 433 2021 0 205.054 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 226 2228 80 166 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 0 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 0 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 1 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 222 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 0 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 0 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 2 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 0 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 0 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 1 Sysmiss 2228 What were the other payments for?:Expedite visa/ work permit process What were the other payments for? 433 2021 0 1 0 431 1 2 Sysmiss 2021 How much did you pay for expedite visa/work permit process How much did you pay for %rostertitle%? 433 2021 0 3000 2016 constant USD equivalent of costs for expedite visa/work permit process 433 2021 0 79.249 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 40 2414 102 120 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 0 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 0 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 0 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 37 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 0 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 0 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 3 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 0 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 0 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 0 Sysmiss 2414 What were the other payments for?:Other informal payments to officials to get th What were the other payments for? 433 2021 0 1 0 406 1 27 Sysmiss 2021 How much did you pay for other informal payments to officials to get the process How much did you pay for %rostertitle%? 431 2023 0 500000 2016 constant USD equivalent of costs for other informal payments to officials t 431 2023 0 1964.761 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 156 2298 51 166 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 3 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 0 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 1 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 130 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 2 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 0 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 13 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 1 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 0 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 6 Sysmiss 2298 What were the other payments for?:Forged official documents - birth certificates What were the other payments for? 433 2021 0 1 0 426 1 7 Sysmiss 2021 How much did you pay for forged official documents - birth certificates, passpor How much did you pay for %rostertitle%? 432 2022 0 300000 2016 constant USD equivalent of costs for forged official documents - birth cert 432 2022 0 2686.274 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 8 2446 51 120 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 3 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 0 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 0 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 2 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 2 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 0 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 1 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 0 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 0 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 0 Sysmiss 2446 What were the other payments for?:Fake job contract What were the other payments for? 431 2023 0 1 0 430 1 1 Sysmiss 2023 How much did you pay for fake job contract How much did you pay for %rostertitle%? 432 2022 0 12000 2016 constant USD equivalent of costs for fake job contract 432 2022 0 111.669 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 327 2127 102 120 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 0 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 0 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 0 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 326 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 0 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 0 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 1 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 0 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 0 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 0 Sysmiss 2127 What were the other payments for?:Other informal payments/ gifts to brokers/ rec What were the other payments for? 431 2023 0 1 0 420 1 11 Sysmiss 2023 How much did you pay for other informal payments/gifts to brokers/recruitment ag How much did you pay for %rostertitle%? 430 2024 0 400000 2016 constant USD equivalent of costs for other informal payments/gifts to broke 430 2024 0 61784.313 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 27 2427 51 166 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 3 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 0 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 0 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 17 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 0 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 0 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 1 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 0 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 0 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 6 Sysmiss 2427 What were the other payments for?:Irregualr border crossings What were the other payments for? 431 2023 0 1 0 345 1 86 Sysmiss 2023 How much did you pay for irregular border crossings How much did you pay for %rostertitle%? 426 2028 0 1400000 2016 constant USD equivalent of costs for irregular border crossings 426 2028 0 7366.755 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 211 2243 51 166 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 26 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 1 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 0 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 1 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 15 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 128 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 7 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 0 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 1 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 1 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 2 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 3 166 West Africa CFA Franc 26 Sysmiss 2243 What were the other payments for?:Others What were the other payments for? 433 2021 0 1 0 274 1 159 Sysmiss 2021 How much did you pay for others How much did you pay for %rostertitle%? 414 2040 0 300000 2016 constant USD equivalent of costs for others 413 2041 0 2014.706 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 165 2289 51 156 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 4 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 0 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 1 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 26 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 1 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 63 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 68 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 1 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 0 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 1 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 0 Sysmiss 2289 What were the other payments for?:Don't know/ Decline to answer What were the other payments for? 431 2023 0 1 0 278 1 153 Sysmiss 2023 How much did you pay for unknown/decline to answer items How much did you pay for %rostertitle%? 118 2336 0 32500 2016 constant USD equivalent of costs for unknow/decline to answer items 118 2336 0 36499.406 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 145 2309 51 158 48 Egypt pound 0 51 Euro 2 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 6 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 59 118 Qatar riyal 0 120 Russia ruble 75 125 Saudi Arabia riyal 0 143 Tajikistan somoni 2 156 US dollar 0 158 Uzbekistan som 1 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2309 What did the broker do for you?:Found a job here What did the broker do for you? 355 2099 0 1 0 28 1 327 Sysmiss 2099 What did the broker do for you?:Arranged work permit What did the broker do for you? 355 2099 0 1 0 35 1 320 Sysmiss 2099 What did the broker do for you?:Arranged passports What did the broker do for you? 355 2099 0 1 0 347 1 8 Sysmiss 2099 What did the broker do for you?:Arranged visa What did the broker do for you? 355 2099 0 1 0 35 1 320 Sysmiss 2099 What did the broker do for you?:Managed the entire deployment process What did the broker do for you? 355 2099 0 1 0 13 1 342 Sysmiss 2099 What did the broker do for you?:Put you in touch with recuritment agency or empl What did the broker do for you? 355 2099 0 1 0 29 1 326 Sysmiss 2099 What did the broker do for you?:Others What did the broker do for you? 355 2099 0 1 0 349 1 6 Sysmiss 2099 What did the relative/friend do for you?:Found a job here What did the relative/friend do for you? 108 2346 0 1 0 5 1 103 Sysmiss 2346 What did the relative/friend do for you?:Arranged work permit What did the relative/friend do for you? 108 2346 0 1 0 30 1 78 Sysmiss 2346 What did the relative/friend do for you?:Arranged visa What did the relative/friend do for you? 108 2346 0 1 0 34 1 74 Sysmiss 2346 What did the relative/friend do for you?:Arranged passports What did the relative/friend do for you? 108 2346 0 1 0 102 1 6 Sysmiss 2346 What did the relative/friend do for you?:Managed the entire deployment process What did the relative/friend do for you? 108 2346 0 1 0 29 1 79 Sysmiss 2346 What did the relative/friend do for you?:Put you in touch with recuritment agenc What did the relative/friend do for you? 108 2346 0 1 0 31 1 77 Sysmiss 2346 What did the relative/friend do for you?:Others What did the relative/friend do for you? 108 2346 0 1 0 105 1 3 Sysmiss 2346 What did the recruitment/ manpower agency do for you?:Found a job here What did the recruitment/ manpower agency do for you? 56 2398 0 1 0 25 1 31 Sysmiss 2398 What did the recruitment/ manpower agency do for you?:Arranged work permit What did the recruitment/ manpower agency do for you? 56 2398 0 1 0 34 1 22 Sysmiss 2398 What did the recruitment/ manpower agency do for you?:Arranged passports What did the recruitment/ manpower agency do for you? 56 2398 0 1 0 44 1 12 Sysmiss 2398 What did the recruitment/ manpower agency do for you?:Arranged visa What did the recruitment/ manpower agency do for you? 56 2398 0 1 0 35 1 21 Sysmiss 2398 What did the recruitment/ manpower agency do for you?:Managed the entire deploym What did the recruitment/ manpower agency do for you? 56 2398 0 1 0 17 1 39 Sysmiss 2398 What did the recruitment/ manpower agency do for you?:Put you in touch with empl What did the recruitment/ manpower agency do for you? 56 2398 0 1 0 26 1 30 Sysmiss 2398 What did the recruitment/ manpower agency do for you?:Others What did the recruitment/ manpower agency do for you? 56 2398 0 1 0 53 1 3 Sysmiss 2398 Did you have to go to a designated clinic or hospital to take the medical exams? Did you have to go to a designated clinic or hospital to take the medical exams? 1019 1435 0 1 0 No 118 1 Yes 901 Sysmiss 1435 Were any of the costs reimbursed or paid by your employer or recruiter? Were any of the costs reimbursed or paid by your employer or recruiter? 1869 585 0 1 0 No 1424 1 Yes 445 Sysmiss 585 Were any of the costs reimbursed or paid by your employer or recruiter?:Passport Were any of the costs reimbursed or paid by your employer or recruiter?:Passport 1460 994 0 1 0 1450 1 10 Sysmiss 994 How much was reimbursed for passport? How much was reimbursed for %rostertitle%? 1457 997 0 2000 2016 constant USD equivalent of reimbursement for passport 1456 998 0 45.672 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 10 2444 116 120 48 Egypt pound 0 51 Euro 0 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 7 118 Qatar riyal 0 120 Russia ruble 3 125 Saudi Arabia riyal 0 143 Tajikistan somoni 0 156 US dollar 0 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2444 Were any of the costs reimbursed or paid by your employer or recruiter?:Visa What were the costs reimbursed or paid by your employer or recruiter? 1460 994 0 1 0 1454 1 6 Sysmiss 994 How much was reimbursed for visa? How much was reimbursed for %rostertitle%? 1457 997 0 30000 2016 constant USD equivalent of reimbursement for visa 1456 998 0 631.679 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 6 2448 116 120 48 Egypt pound 0 51 Euro 0 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 3 118 Qatar riyal 0 120 Russia ruble 3 125 Saudi Arabia riyal 0 143 Tajikistan somoni 0 156 US dollar 0 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2448 Were any of the costs reimbursed or paid by your employer or recruiter?:Work per What were the costs reimbursed or paid by your employer or recruiter? 1460 994 0 1 0 1451 1 9 Sysmiss 994 How much was reimbursed for work permit? How much was reimbursed for %rostertitle%? 1457 997 0 85000 2016 constant USD equivalent of reimbursement for work permit 1456 998 0 1412.466 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 9 2445 120 120 48 Egypt pound 0 51 Euro 0 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 0 118 Qatar riyal 0 120 Russia ruble 9 125 Saudi Arabia riyal 0 143 Tajikistan somoni 0 156 US dollar 0 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2445 Were any of the costs reimbursed or paid by your employer or recruiter?:Placemen What were the costs reimbursed or paid by your employer or recruiter? 1460 994 0 1 0 1449 1 11 Sysmiss 994 How much was reimbursed for placement fees? How much was reimbursed for %rostertitle%? 1457 997 0 25000 2016 constant USD equivalent of reimbursement for placement fees 1456 998 0 609.997 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 11 2443 116 125 48 Egypt pound 0 51 Euro 0 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 5 118 Qatar riyal 0 120 Russia ruble 5 125 Saudi Arabia riyal 1 143 Tajikistan somoni 0 156 US dollar 0 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2443 Were any of the costs reimbursed or paid by your employer or recruiter?:Fees for What were the costs reimbursed or paid by your employer or recruiter? 1460 994 0 1 0 1459 1 1 Sysmiss 994 How much was reimbursed for service fees for relatives/friends who help find a j How much was reimbursed for %rostertitle%? 1460 994 0 0 0 1460 Sysmiss 994 2016 constant USD equivalent of reimbursement for service fees for relatives/fri 1459 995 0 0 0 1459 Sysmiss 995 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 1 2453 120 120 48 Egypt pound 0 51 Euro 0 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 0 118 Qatar riyal 0 120 Russia ruble 1 125 Saudi Arabia riyal 0 143 Tajikistan somoni 0 156 US dollar 0 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2453 Were any of the costs reimbursed or paid by your employer or recruiter?:Fees for What were the costs reimbursed or paid by your employer or recruiter? 1460 994 0 0 0 1460 Sysmiss 994 How much was reimbursed for service fees for individual brokers? How much was reimbursed for %rostertitle%? 1461 993 0 0 0 1461 Sysmiss 993 2016 constant USD equivalent of reimbursement for service fees for individual br 1460 994 0 0 0 1460 Sysmiss 994 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. Were any of the costs reimbursed or paid by your employer or recruiter?:Fees for What were the costs reimbursed or paid by your employer or recruiter? 1460 994 0 1 0 1458 1 2 Sysmiss 994 How much was reimbursed for service fees for recruitment/manpower agencies? How much was reimbursed for %rostertitle%? 1459 995 0 0 0 1459 Sysmiss 995 2016 constant USD equivalent of reimbursement for service fees for recruitment/m 1458 996 0 0 0 1458 Sysmiss 996 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 2 2452 120 120 48 Egypt pound 0 51 Euro 0 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 0 118 Qatar riyal 0 120 Russia ruble 2 125 Saudi Arabia riyal 0 143 Tajikistan somoni 0 156 US dollar 0 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2452 Were any of the costs reimbursed or paid by your employer or recruiter?:Language What were the costs reimbursed or paid by your employer or recruiter? 1460 994 0 1 0 1457 1 3 Sysmiss 994 How much was reimbursed for language training? How much was reimbursed for %rostertitle%? 1458 996 0 0 0 1458 Sysmiss 996 2016 constant USD equivalent of reimbursement for language training 1457 997 0 0 0 1457 Sysmiss 997 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 3 2451 120 120 48 Egypt pound 0 51 Euro 0 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 0 118 Qatar riyal 0 120 Russia ruble 3 125 Saudi Arabia riyal 0 143 Tajikistan somoni 0 156 US dollar 0 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2451 Were any of the costs reimbursed or paid by your employer or recruiter?:Skills c What were the costs reimbursed or paid by your employer or recruiter? 1460 994 0 0 0 1460 Sysmiss 994 How much was reimbursed for skills certificates/testing? How much was reimbursed for %rostertitle%? 1461 993 0 0 0 1461 Sysmiss 993 2016 constant USD equivalent of reimbursement for skills certificates/testing 1460 994 0 0 0 1460 Sysmiss 994 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. Were any of the costs reimbursed or paid by your employer or recruiter?:Medical What were the costs reimbursed or paid by your employer or recruiter? 1460 994 0 1 0 1426 1 34 Sysmiss 994 How much was reimbursed for medical exam? How much was reimbursed for %rostertitle%? 1457 997 0 10000 2016 constant USD equivalent of reimbursement for medical exam 1456 998 0 192.316 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 34 2420 80 125 48 Egypt pound 0 51 Euro 0 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 1 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 14 118 Qatar riyal 0 120 Russia ruble 16 125 Saudi Arabia riyal 3 143 Tajikistan somoni 0 156 US dollar 0 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2420 Were any of the costs reimbursed or paid by your employer or recruiter?:Police/s What were the costs reimbursed or paid by your employer or recruiter? 1460 994 0 1 0 1458 1 2 Sysmiss 994 How much was reimbursed for police/security clearance? How much was reimbursed for %rostertitle%? 1223 1231 0 6000 2016 constant USD equivalent of reimbursement for police/security clearance 1222 1232 0 137.017 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 2 2452 116 116 48 Egypt pound 0 51 Euro 0 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 2 118 Qatar riyal 0 120 Russia ruble 0 125 Saudi Arabia riyal 0 143 Tajikistan somoni 0 156 US dollar 0 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2452 Were any of the costs reimbursed or paid by your employer or recruiter?:Exit cle What were the costs reimbursed or paid by your employer or recruiter? 1460 994 0 1 0 1459 1 1 Sysmiss 994 How much was reimbursed for exit clearance from the home government? How much was reimbursed for %rostertitle%? 1461 993 0 4000 2016 constant USD equivalent of reimbursement for exit clearance from the home g 1460 994 0 91.345 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 1 2453 116 116 48 Egypt pound 0 51 Euro 0 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 1 118 Qatar riyal 0 120 Russia ruble 0 125 Saudi Arabia riyal 0 143 Tajikistan somoni 0 156 US dollar 0 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2453 Were any of the costs reimbursed or paid by your employer or recruiter?:Contract What were the costs reimbursed or paid by your employer or recruiter? 1460 994 0 0 0 1460 Sysmiss 994 How much was reimbursed for contract approval from the home government? How much was reimbursed for %rostertitle%? 768 1686 0 0 0 768 Sysmiss 1686 2016 constant USD equivalent of reimbursement for contract approval from the hom 768 1686 0 0 0 768 Sysmiss 1686 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. Were any of the costs reimbursed or paid by your employer or recruiter?:Pre-depa What were the costs reimbursed or paid by your employer or recruiter? 1460 994 0 1 0 1459 1 1 Sysmiss 994 How much was reimbursed for pre-departure training/briefing? How much was reimbursed for %rostertitle%? 1222 1232 0 0 0 1222 Sysmiss 1232 2016 constant USD equivalent of reimbursement for pre-departure training/briefin 1221 1233 0 0 0 1221 Sysmiss 1233 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 1 2453 116 116 48 Egypt pound 0 51 Euro 0 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 1 118 Qatar riyal 0 120 Russia ruble 0 125 Saudi Arabia riyal 0 143 Tajikistan somoni 0 156 US dollar 0 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2453 Were any of the costs reimbursed or paid by your employer or recruiter?:Health/ What were the costs reimbursed or paid by your employer or recruiter? 1460 994 0 1 0 1459 1 1 Sysmiss 994 How much was reimbursed for health/life insurance/social security plans? How much was reimbursed for %rostertitle%? 1461 993 0 500 2016 constant USD equivalent of reimbursement for health/life insurance/social s 1460 994 0 8.309 0 1459 8.30862236022949 1 Sysmiss 994 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 1 2453 120 120 48 Egypt pound 0 51 Euro 0 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 0 118 Qatar riyal 0 120 Russia ruble 1 125 Saudi Arabia riyal 0 143 Tajikistan somoni 0 156 US dollar 0 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2453 Were any of the costs reimbursed or paid by your employer or recruiter?:Overseas What were the costs reimbursed or paid by your employer or recruiter? 1460 994 0 0 0 1460 Sysmiss 994 How much was reimbursed for overseas migrant welfare fund? How much was reimbursed for %rostertitle%? 1223 1231 0 0 0 1223 Sysmiss 1231 2016 constant USD equivalent of reimbursement for overseas migrant welfare fund 1222 1232 0 0 0 1222 Sysmiss 1232 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. Were any of the costs reimbursed or paid by your employer or recruiter?:Domestic What were the costs reimbursed or paid by your employer or recruiter? 1460 994 0 1 0 1452 1 8 Sysmiss 994 How much was reimbursed for internal transportation? How much was reimbursed for %rostertitle%? 1461 993 0 11000 2016 constant USD equivalent of reimbursement for internal transportation 1460 994 0 251.198 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 8 2446 116 116 48 Egypt pound 0 51 Euro 0 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 8 118 Qatar riyal 0 120 Russia ruble 0 125 Saudi Arabia riyal 0 143 Tajikistan somoni 0 156 US dollar 0 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2446 Were any of the costs reimbursed or paid by your employer or recruiter?:Internat What were the costs reimbursed or paid by your employer or recruiter? 1460 994 0 1 0 1453 1 7 Sysmiss 994 How much was reimbursed for international transportation? How much was reimbursed for %rostertitle%? 1458 996 0 20000 2016 constant USD equivalent of reimbursement for international transportation 1457 997 0 941.546 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 7 2447 51 120 48 Egypt pound 0 51 Euro 1 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 1 118 Qatar riyal 0 120 Russia ruble 5 125 Saudi Arabia riyal 0 143 Tajikistan somoni 0 156 US dollar 0 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2447 Were any of the costs reimbursed or paid by your employer or recruiter?:Others What were the costs reimbursed or paid by your employer or recruiter? 1460 994 0 1 0 1457 1 3 Sysmiss 994 How much was reimbursed for other items? How much was reimbursed for %rostertitle%? 1461 993 0 1500 2016 constant USD equivalent of reimbursement for other items 1460 994 0 334.514 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 3 2451 116 125 48 Egypt pound 0 51 Euro 0 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 2 118 Qatar riyal 0 120 Russia ruble 0 125 Saudi Arabia riyal 1 143 Tajikistan somoni 0 156 US dollar 0 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2451 Were any of the costs deducted from your salaries? Were any of the costs deducted from your salaries? 1872 582 0 1 0 No 1448 1 Yes 424 Sysmiss 582 Were any of the costs deducted from your salaries?:Passport Were any of the costs deducted from your salaries/ What were the costs deducted from your salaries? 1463 991 0 1 0 1457 1 6 Sysmiss 991 How much was deducted for passport? How much was deducted for %rostertitle%? 1460 994 0 1800 2016 constant USD equivalent of reimbursement for passport 1460 994 0 671.569 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 5 2449 51 120 48 Egypt pound 0 51 Euro 1 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 1 118 Qatar riyal 0 120 Russia ruble 3 125 Saudi Arabia riyal 0 143 Tajikistan somoni 0 156 US dollar 0 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2449 How many months in total were these deducted? how many months in total was these deducted? 3 2451 1 5 1 1 2 1 5 1 Sysmiss 2451 Were any of the costs deducted from your salaries?:Visa Were any of the costs deducted from your salaries/ What were the costs deducted from your salaries? 1463 991 0 1 0 1454 1 9 Sysmiss 991 How much was deducted for visa? How much was deducted for %rostertitle%? 1461 993 0 5000 2016 constant USD equivalent of reimbursement for visa 1461 993 0 671.569 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 10 2444 51 125 48 Egypt pound 0 51 Euro 1 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 2 118 Qatar riyal 0 120 Russia ruble 4 125 Saudi Arabia riyal 3 143 Tajikistan somoni 0 156 US dollar 0 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2444 How many months in total were these deducted? how many months in total was these deducted? 9 2445 1 10 1 4 2 1 4 1 5 1 9 1 10 1 Sysmiss 2445 Were any of the costs deducted from your salaries?:Work permit Were any of the costs deducted from your salaries/ What were the costs deducted from your salaries? 1463 991 0 1 0 1453 1 10 Sysmiss 991 How much was deducted for work permit? How much was deducted for %rostertitle%? 1459 995 0 27800 2016 constant USD equivalent of reimbursement for work permit 1459 995 0 414.579 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 10 2444 116 125 48 Egypt pound 0 51 Euro 0 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 1 118 Qatar riyal 0 120 Russia ruble 6 125 Saudi Arabia riyal 3 143 Tajikistan somoni 0 156 US dollar 0 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2444 How many months in total were these deducted? how many months in total was these deducted? 10 2444 1 10 1 2 2 2 3 2 4 1 5 1 9 1 10 1 Sysmiss 2444 Were any of the costs deducted from your salaries?:Placement fees Were any of the costs deducted from your salaries/ What were the costs deducted from your salaries? 1463 991 0 1 0 1437 1 26 Sysmiss 991 How much was deducted for placement fees? How much was deducted for %rostertitle%? 1460 994 0 25000 2016 constant USD equivalent of reimbursement for placement fees 1460 994 0 1216.58 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 26 2428 116 125 48 Egypt pound 0 51 Euro 0 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 10 118 Qatar riyal 0 120 Russia ruble 4 125 Saudi Arabia riyal 12 143 Tajikistan somoni 0 156 US dollar 0 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2428 How many months in total were these deducted? how many months in total was these deducted? 25 2429 1 12 1 4 2 5 3 5 4 4 5 2 6 4 12 1 Sysmiss 2429 Were any of the costs deducted from your salaries?:Service fees for relatives/ f Were any of the costs deducted from your salaries/ What were the costs deducted from your salaries? 1463 991 0 0 0 1463 Sysmiss 991 How much was deducted for service fees for relatives/friends who help find a jo How much was deducted for %rostertitle%? 1463 991 0 0 0 1463 Sysmiss 991 2016 constant USD equivalent of reimbursement for service fees for relatives/fri 1463 991 0 0 0 1463 Sysmiss 991 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. Were any of the costs deducted from your salaries?:Service fees for brokers Were any of the costs deducted from your salaries/ What were the costs deducted from your salaries? 1463 991 0 1 0 1459 1 4 Sysmiss 991 How much was deducted for service fees for individual brokers? How much was deducted for %rostertitle%? 1463 991 0 48000 2016 constant USD equivalent of reimbursement for service fees for individual br 1463 991 0 64470.582 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 4 2450 51 125 48 Egypt pound 0 51 Euro 1 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 1 118 Qatar riyal 0 120 Russia ruble 0 125 Saudi Arabia riyal 2 143 Tajikistan somoni 0 156 US dollar 0 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2450 How many months in total were these deducted? how many months in total was these deducted? 3 2451 1 4 1 1 3 1 4 1 Sysmiss 2451 Were any of the costs deducted from your salaries?:Service fees for recruitment Were any of the costs deducted from your salaries/ What were the costs deducted from your salaries? 1463 991 0 1 0 1452 1 11 Sysmiss 991 How much was deducted for service fees for recruitment/manpower agencies? How much was deducted for %rostertitle%? 1462 992 0 25200 2016 constant USD equivalent of reimbursement for service fees for recruitment/m 1462 992 0 623.815 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 11 2443 116 125 48 Egypt pound 0 51 Euro 0 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 4 118 Qatar riyal 0 120 Russia ruble 2 125 Saudi Arabia riyal 5 143 Tajikistan somoni 0 156 US dollar 0 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2443 How many months in total were these deducted? how many months in total was these deducted? 11 2443 1 6 1 4 2 3 3 1 4 1 6 2 Sysmiss 2443 Were any of the costs deducted from your salaries?:Language training Were any of the costs deducted from your salaries/ What were the costs deducted from your salaries? 1463 991 0 1 0 1461 1 2 Sysmiss 991 How much was deducted for language training? How much was deducted for %rostertitle%? 1461 993 0 0 0 1461 Sysmiss 993 2016 constant USD equivalent of reimbursement for language training 1461 993 0 0 0 1461 Sysmiss 993 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 2 2452 120 120 48 Egypt pound 0 51 Euro 0 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 0 118 Qatar riyal 0 120 Russia ruble 2 125 Saudi Arabia riyal 0 143 Tajikistan somoni 0 156 US dollar 0 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2452 How many months in total were these deducted? how many months in total was these deducted? 2 2452 1 4 1 1 4 1 Sysmiss 2452 Were any of the costs deducted from your salaries?:Skills certificates/ testing Were any of the costs deducted from your salaries/ What were the costs deducted from your salaries? 1463 991 0 0 0 1463 Sysmiss 991 How much was deducted for skills certificates/testing? How much was deducted for %rostertitle%? 1463 991 0 0 0 1463 Sysmiss 991 2016 constant USD equivalent of reimbursement for skills certificates/testing 1463 991 0 0 0 1463 Sysmiss 991 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. Were any of the costs deducted from your salaries?:Medical exam Were any of the costs deducted from your salaries/ What were the costs deducted from your salaries? 1463 991 0 1 0 1457 1 6 Sysmiss 991 How much was deducted for medical exam? How much was deducted for %rostertitle%? 1461 993 0 5000 2016 constant USD equivalent of reimbursement for medical exam 1461 993 0 121.361 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 6 2448 116 120 48 Egypt pound 0 51 Euro 0 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 2 118 Qatar riyal 0 120 Russia ruble 4 125 Saudi Arabia riyal 0 143 Tajikistan somoni 0 156 US dollar 0 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2448 How many months in total were these deducted? how many months in total was these deducted? 6 2448 1 12 1 1 2 1 4 1 5 1 6 1 12 1 Sysmiss 2448 Were any of the costs deducted from your salaries?:Police/security clearance Were any of the costs deducted from your salaries/ What were the costs deducted from your salaries? 1463 991 0 0 0 1463 Sysmiss 991 How much was deducted for police/security clearance? How much was deducted for %rostertitle%? 1224 1230 0 0 0 1224 Sysmiss 1230 2016 constant USD equivalent of reimbursement for police/security clearance 1224 1230 0 0 0 1224 Sysmiss 1230 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. Were any of the costs deducted from your salaries?:Exit clearance from the home Were any of the costs deducted from your salaries/ What were the costs deducted from your salaries? 1463 991 0 0 0 1463 Sysmiss 991 How much was deducted for exit clearance from the home government? How much was deducted for %rostertitle%? 1463 991 0 0 0 1463 Sysmiss 991 2016 constant USD equivalent of reimbursement for exit clearance from the home g 1463 991 0 0 0 1463 Sysmiss 991 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. Were any of the costs deducted from your salaries?:Contract approval from the ho Were any of the costs deducted from your salaries/ What were the costs deducted from your salaries? 1463 991 0 0 0 1463 Sysmiss 991 How much was deducted for contract approval from the home government? How much was deducted for %rostertitle%? 770 1684 0 0 0 770 Sysmiss 1684 2016 constant USD equivalent of reimbursement for contract approval from the hom 770 1684 0 0 0 770 Sysmiss 1684 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. Were any of the costs deducted from your salaries?:Pre-departure training/ brief Were any of the costs deducted from your salaries/ What were the costs deducted from your salaries? 1463 991 0 0 0 1463 Sysmiss 991 How much was deducted for pre-departure training/briefing? How much was deducted for %rostertitle%? 1224 1230 0 0 0 1224 Sysmiss 1230 2016 constant USD equivalent of reimbursement for pre-departure training/briefin 1224 1230 0 0 0 1224 Sysmiss 1230 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. Were any of the costs deducted from your salaries?:Health/ life insurance/ socia Were any of the costs deducted from your salaries/ What were the costs deducted from your salaries? 1463 991 0 1 0 1461 1 2 Sysmiss 991 How much was deducted for health/life insurance/social security plans? How much was deducted for %rostertitle%? 1463 991 0 2400 2016 constant USD equivalent of reimbursement for health/life insurance/social s 1463 991 0 53.409 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 2 2452 116 120 48 Egypt pound 0 51 Euro 0 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 1 118 Qatar riyal 0 120 Russia ruble 1 125 Saudi Arabia riyal 0 143 Tajikistan somoni 0 156 US dollar 0 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2452 How many months in total were these deducted? how many months in total was these deducted? 2 2452 1 1 1 2 Sysmiss 2452 Were any of the costs deducted from your salaries?:Overseas migrant welfare fund Were any of the costs deducted from your salaries/ What were the costs deducted from your salaries? 1463 991 0 0 0 1463 Sysmiss 991 How much was deducted for overseas migrant welfare fund? How much was deducted for %rostertitle%? 1224 1230 0 0 0 1224 Sysmiss 1230 2016 constant USD equivalent of reimbursement for overseas migrant welfare fund 1224 1230 0 0 0 1224 Sysmiss 1230 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. Were any of the costs deducted from your salaries?:Domestic transportation Were any of the costs deducted from your salaries/ What were the costs deducted from your salaries? 1463 991 0 0 0 1463 Sysmiss 991 How much was deducted for internal transportation? How much was deducted for %rostertitle%? 1463 991 0 0 0 1463 Sysmiss 991 2016 constant USD equivalent of reimbursement for internal transportation 1463 991 0 0 0 1463 Sysmiss 991 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. Were any of the costs deducted from your salaries?:International transportation Were any of the costs deducted from your salaries/ What were the costs deducted from your salaries? 1463 991 0 1 0 1459 1 4 Sysmiss 991 How much was deducted for international transportation? How much was deducted for %rostertitle%? 1460 994 0 1000 2016 constant USD equivalent of reimbursement for international transportation 1460 994 0 1343.137 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 4 2450 51 120 48 Egypt pound 0 51 Euro 1 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 0 118 Qatar riyal 0 120 Russia ruble 3 125 Saudi Arabia riyal 0 143 Tajikistan somoni 0 156 US dollar 0 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2450 How many months in total were these deducted? how many months in total was these deducted? 3 2451 2 5 2 1 4 1 5 1 Sysmiss 2451 Were any of the costs deducted from your salaries?:Others Were any of the costs deducted from your salaries/ What were the costs deducted from your salaries? 1463 991 0 1 0 1459 1 4 Sysmiss 991 How much was deducted for other items? How much was deducted for %rostertitle%? 1463 991 0 27000 2016 constant USD equivalent of reimbursement for other items 1463 991 0 456.724 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 4 2450 116 125 48 Egypt pound 0 51 Euro 0 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 1 118 Qatar riyal 0 120 Russia ruble 2 125 Saudi Arabia riyal 1 143 Tajikistan somoni 0 156 US dollar 0 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2450 How many months in total were these deducted? how many months in total was these deducted? 4 2450 1 7 1 1 2 1 4 1 7 1 Sysmiss 2450 How long did it take in total to leave for %current_country% (from the moment to How long did it take in total to leave for %current_country% (from the moment to start the job/ passport application to arrive in %current_country%, in months)? 2091 363 0 2015 How much in total did you spend in your earlier successful efforts to work abroa How much in total did you spend in your earlier successful efforts to work abroad? 242 2212 0 400000 What was the currency? What was the currency? 206 2248 51 166 48 Egypt pound 0 51 Euro 3 68 India rupee 75 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 76 118 Qatar riyal 0 120 Russia ruble 45 125 Saudi Arabia riyal 0 143 Tajikistan somoni 2 156 US dollar 2 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 3 Sysmiss 2248 Did you also have failed attempts to go abroad to work? Did you have failed attempts to go abroad to work? 1720 734 0 1 0 No 1657 1 Yes 63 Sysmiss 734 How much in total did you spend for previous failed attempts to get a foreign jo How much in total did you spend for previous failed attempts to get a foreign job? 36 2418 0 60000 What was the currency? What was the currency? 32 2422 51 166 48 Egypt pound 0 51 Euro 4 68 India rupee 1 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 9 118 Qatar riyal 0 120 Russia ruble 7 125 Saudi Arabia riyal 0 143 Tajikistan somoni 3 156 US dollar 5 158 Uzbekistan som 1 165 Other 1 166 West Africa CFA Franc 1 Sysmiss 2422 Did you or someone (including your family) borrow any of the money that you spen Did you or someone (including your family) borrow any of the money that you spent in order to get this job? 2196 258 0 1 -99 Decline to answer 0 0 No 1383 1 Yes 813 Sysmiss 258 Who was the money borrowed from?:Member of household Who was the money borrowed from? 2196 258 0 1 0 1957 1 239 Sysmiss 258 How much did you borrow from member of household? How much? 2195 259 0 500000 2016 constant USD equivalent of the size of loan from member of household 2193 261 0 16201.854 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 253 2201 51 166 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 5 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 37 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 2 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 63 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 0 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 101 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 25 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 2 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 1 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 10 157 uruguayan peso 0 158 uzbekistani som 1 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 6 Sysmiss 2201 Interest rate paid on the loan from member on household What interest rate is being paid (in percent)? 239 2215 0 100 Unit of interest rate paid on the loan from member on household What is the unit of the interest rate? 65 2389 3 4 1 Day 0 2 Week 0 3 Month 63 4 Year 2 Sysmiss 2389 Who was the money borrowed from?:Other Relative/friend Who was the money borrowed from? 2196 258 0 1 0 1772 1 424 Sysmiss 258 How much did you borrow from other relative/friend? How much? 2194 260 0 1000000 2016 constant USD equivalent of the size of loan from other relative/friend 2194 260 0 403519.594 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 425 2029 51 166 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 9 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 1 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 95 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 3 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 3 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 123 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 7 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 107 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 41 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 1 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 21 157 uruguayan peso 0 158 uzbekistani som 2 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 12 Sysmiss 2029 Interest rate paid on the loan from other relative/friend What interest rate is being paid (in percent)? 420 2034 0 100 Unit of interest rate paid on the loan from other relative/friend What is the unit of the interest rate? 235 2219 2 4 1 Day 0 2 Week 2 3 Month 214 4 Year 19 Sysmiss 2219 Who was the money borrowed from?:Money lender Who was the money borrowed from? 2196 258 0 1 0 2130 1 66 Sysmiss 258 How much did you borrow from money lender? How much? 2196 258 0 200000 2016 constant USD equivalent of the size of loan from money lender 2196 258 0 3779.088 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 66 2388 68 156 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 0 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 13 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 1 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 31 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 0 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 17 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 3 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 0 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 1 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 0 Sysmiss 2388 Interest rate paid on the loan from money lender What interest rate is being paid (in percent)? 66 2388 0 70 Unit of interest rate paid on the loan from money lender What is the unit of the interest rate? 62 2392 2 4 1 Day 0 2 Week 1 3 Month 51 4 Year 10 Sysmiss 2392 Who was the money borrowed from?:Bank Who was the money borrowed from? 2196 258 0 1 0 2164 1 32 Sysmiss 258 How much did you borrow from bank? How much? 1787 667 0 200000 2016 constant USD equivalent of the size of loan from bank 1787 667 0 20532.727 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 32 2422 51 156 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 1 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 0 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 1 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 15 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 0 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 1 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 12 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 1 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 1 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 0 Sysmiss 2422 Interest rate paid on the loan from bank What interest rate is being paid (in percent)? 30 2424 2 50 Unit of interest rate paid on the loan from bank What is the unit of the interest rate? 30 2424 3 4 1 Day 0 2 Week 0 3 Month 11 4 Year 19 Sysmiss 2424 Who was the money borrowed from?:Recruiter Who was the money borrowed from? 2196 258 0 1 0 2187 1 9 Sysmiss 258 How much did you borrow from recruiter? How much? 2196 258 0 800000 2016 constant USD equivalent of the size of loan from recruiter 2195 259 0 3369.176 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 9 2445 51 166 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 1 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 0 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 0 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 1 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 0 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 0 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 5 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 0 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 0 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 0 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 2 Sysmiss 2445 Interest rate paid on the loan from recruiter What interest rate is being paid (in percent)? 9 2445 0 67 Unit of interest rate paid on the loan from recruiter What is the unit of the interest rate? 3 2451 3 4 1 Day 0 2 Week 0 3 Month 2 4 Year 1 Sysmiss 2451 Who was the money borrowed from?:Employer Who was the money borrowed from? 2196 258 0 1 0 2187 1 9 Sysmiss 258 How much did you borrow from employer? How much? 2196 258 0 50000 2016 constant USD equivalent of the size of loan from employer 2196 258 0 2246.117 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 9 2445 51 125 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 2 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 1 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 0 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 2 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 0 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 0 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 1 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 2 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 1 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 0 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 0 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 0 Sysmiss 2445 Interest rate paid on the loan from employer What interest rate is being paid (in percent)? 9 2445 0 2 0 8 2 1 Sysmiss 2445 Unit of interest rate paid on the loan from employer What is the unit of the interest rate? 1 2453 3 3 1 Day 0 2 Week 0 3 Month 1 4 Year 0 Sysmiss 2453 Who was the money borrowed from?:Community group Who was the money borrowed from? 2196 258 0 1 0 2184 1 12 Sysmiss 258 How much did you borrow from community group? How much? 2196 258 0 170000 2016 constant USD equivalent of the size of loan from community group 2196 258 0 1581.979 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 12 2442 102 116 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 0 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 0 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 0 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 10 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 0 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 2 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 0 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 0 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 0 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 0 Sysmiss 2442 Interest rate paid on the loan from community group What interest rate is being paid (in percent)? 12 2442 0 5 0 1 3 9 5 2 Sysmiss 2442 Unit of interest rate paid on the loan from commUnity group What is the unit of the interest rate? 11 2443 3 3 1 Day 0 2 Week 0 3 Month 11 4 Year 0 Sysmiss 2443 Who was the money borrowed from?:Government agency Who was the money borrowed from? 2196 258 0 1 0 2195 1 1 Sysmiss 258 How much did you borrow from government agency? How much? 1787 667 0 80000 2016 constant USD equivalent of the size of loan from government agency 1787 667 0 744.461 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 1 2453 102 102 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 0 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 0 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 0 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 1 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 0 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 0 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 0 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 0 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 0 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 0 Sysmiss 2453 Interest rate paid on the loan from government agency What interest rate is being paid (in percent)? 1 2453 5 5 5 1 Sysmiss 2453 Unit of interest rate paid on the loan from government agency What is the unit of the interest rate? 1 2453 3 3 1 Day 0 2 Week 0 3 Month 1 4 Year 0 Sysmiss 2453 Who was the money borrowed from?:Credit union Who was the money borrowed from? 2196 258 0 1 0 2195 1 1 Sysmiss 258 How much did you borrow from credit union? How much? 2196 258 0 100000 2016 constant USD equivalent of the size of loan from credit union 2196 258 0 930.576 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 1 2453 102 102 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 0 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 0 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 0 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 1 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 0 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 0 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 0 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 0 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 0 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 0 Sysmiss 2453 Interest rate paid on the loan from credit union What interest rate is being paid (in percent)? 1 2453 4 4 4 1 Sysmiss 2453 Unit of interest rate paid on the loan from credit union What is the unit of the interest rate? 1 2453 3 3 1 Day 0 2 Week 0 3 Month 1 4 Year 0 Sysmiss 2453 Who was the money borrowed from?:Cooperative Who was the money borrowed from? 2196 258 0 1 0 2167 1 29 Sysmiss 258 How much did you borrow from cooperative? How much? 2195 259 0 120000 2016 constant USD equivalent of the size of loan from cooperative 2195 259 0 1116.691 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 28 2426 51 102 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 1 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 0 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 0 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 27 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 0 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 0 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 0 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 0 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 0 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 0 Sysmiss 2426 Interest rate paid on the loan from cooperative What interest rate is being paid (in percent)? 28 2426 0 36 Unit of interest rate paid on the loan from cooperative What is the unit of the interest rate? 27 2427 3 4 1 Day 0 2 Week 0 3 Month 26 4 Year 1 Sysmiss 2427 Who was the money borrowed from?:Pawnshop Who was the money borrowed from? 2196 258 0 1 0 2191 1 5 Sysmiss 258 How much did you borrow from pawnshop? How much? 1972 482 0 50000 2016 constant USD equivalent of the size of loan from pawnshop 1972 482 0 830.596 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 5 2449 68 120 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 0 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 1 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 0 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 0 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 0 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 3 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 1 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 0 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 0 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 0 Sysmiss 2449 Interest rate paid on the loan from pawnshop What interest rate is being paid (in percent)? 5 2449 3 100 Unit of interest rate paid on the loan from pawnshop What is the unit of the interest rate? 5 2449 2 4 1 Day 0 2 Week 1 3 Month 3 4 Year 1 Sysmiss 2449 Who was the money borrowed from?:Landlord Who was the money borrowed from? 1844 610 0 1 0 1843 1 1 Sysmiss 610 How much did you borrow from landlord? How much? 1435 1019 0 1000 2016 constant USD equivalent of the size of loan from landlord 1435 1019 0 1367.923 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 1 2453 51 51 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 1 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 0 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 0 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 0 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 0 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 0 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 0 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 0 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 0 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 0 Sysmiss 2453 Interest rate paid on the loan from landlord What interest rate is being paid (in percent)? 1 2453 0 0 0 1 Sysmiss 2453 Who was the money borrowed from?:Other Who was the money borrowed from? 2196 258 0 1 0 2192 1 4 Sysmiss 258 How much did you borrow from others? 1787 667 0 80000 2016 constant USD equivalent of the size of loan from others 1787 667 0 744.461 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 23 2431 51 102 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 1 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 0 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 0 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 17 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 5 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 0 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 0 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 0 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 0 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 0 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 0 Sysmiss 2431 Interest rate paid on the loan from others What interest rate is being paid (in percent)? 4 2450 0 3 0 1 1.5 1 3 2 Sysmiss 2450 Unit of interest rate paid on the loan from others What is the unit of the interest rate? 5 2449 3 3 1 Day 0 2 Week 0 3 Month 5 4 Year 0 Sysmiss 2449 Please specify Other Please specify Other? 1 0 delle persone che ha incontrato in libia 1 SUPERVISER TRANSLATE IN ENG: Other borrowing 1 0 people met in libya 1 Was the loan expected to be repaid? Was the loan expected to be repaid? 327 2127 0 1 0 No 36 1 Yes 291 Sysmiss 2127 How is the loan being repaid?:From money you send to your family How is the loan being repaid? 785 1669 0 1 0 49 1 736 Sysmiss 1669 How is the loan being repaid?:From deductions from your salary How is the loan being repaid? 513 1941 0 1 0 477 1 36 Sysmiss 1941 How is the loan being repaid?:From other sources of income How is the loan being repaid? 513 1941 0 1 0 498 1 15 Sysmiss 1941 Please specify the other source of income Please specify the other source of income 15 0 Deduction from the salary of her husband 1 Farm 1 consegna a mano dei soldi al fratello 1 from the income of there palayan 1 il debito lo sta riparando il padre 1 parti del raccolto della terra di proprietÃ della famiglia in nigeria 1 prostitution in Libya 1 stipendio del marito 1 Ð¸Ð· Ð¼Ð¾ÐµÐ¹ Ð·Ð°Ñ€Ð¿Ð»Ð°Ñ‚Ñ‹ 1 Ð¾Ñ‚Ð´Ð°Ð» ÑÐ´ÐµÑÑŒ Ñ Ð·Ð°Ñ€Ð¿Ð»Ð°Ñ‚Ñ‹ 1 Ð¾Ñ‚Ð´Ð°ÑŽ Ñ Ð·Ð°Ñ€Ð¿Ð»Ð°Ñ‚Ñ‹ 1 Ñ Ð·Ð°Ñ€Ð¿Ð»Ð°Ñ‚Ñ‹ 1 Ñ€Ð°ÑÑ‡Ð¸Ñ‚Ð°Ð»ÑÑ ÑÐ¾ ÑÐ²Ð¾ÐµÐ¹ Ð·Ð°Ñ€Ð¿Ð»Ð°Ñ‚Ñ‹ 1 Ñ€Ð¾Ð´Ð¸Ñ‚ÐµÐ»Ð¸ Ð¾Ñ‚Ð´Ð°ÑŽÑ‚ 2 SUPERVISER TRANSLATE IN ENG: the other source of income Please specify the other source of income 28 0 "prostitution in Libya " 1 Farming activities 1 No plan to pay back 20 ex-husband's salary 1 his father is repaying his debt 1 husband's work 1 income from their ricefield 1 money delivered to his brother (i.e. the lender) 1 part of the annual harvest of his family's farm 1 As of today, how much has been repaid to the person/institution that loaned the As of today, how much has been repaid to the person/institution that loaned the money? 517 1937 0 600000 What was the currency? What was the currency? 474 1980 51 166 1 Afghan afghani 0 2 Albanian lek 0 3 Algerian dinar 0 4 Angolan kwanza 0 5 Argentine peso 0 6 Armenian dram 0 7 Aruban florin 0 8 Australian dollar 0 9 Azerbaijani manat 0 10 Bahamian dollar 0 11 Bahraini dinar 0 12 Bangladeshi taka 0 13 Barbadian dollar 0 14 Belarusian ruble 0 15 Belize dollar 0 16 Bermudian dollar 0 17 Bhutanese ngultrum 0 18 Bolivian boliviano 0 19 Bosnia and Herzegovina convertible mark 0 20 Botswana pula 0 21 Brazilian real 0 22 British pound 0 23 Brunei dollar 0 24 Bulgarian lev 0 25 Burmese kyat 0 26 Burundian franc 0 27 Cambodian riel 0 28 Canadian dollar 0 29 Cape Verdean escudo 0 30 Cayman Islands dollar 0 31 Central African CFA franc 0 32 CFP franc 0 33 Chilean peso 0 34 Chinese yuan 0 35 Colombian peso 0 36 Comorian franc 0 37 Congolese franc 0 38 Cook Islands dollar 0 39 Costa Rican colï¿½n 0 40 Croatian kuna 0 41 Cuban convertible peso 0 42 Cuban peso 0 43 Czech koruna 0 44 Danish krone 0 45 Djiboutian franc 0 46 Dominican peso 0 47 East Caribbean dollar 0 48 Egyptian pound 0 49 Eritrean nakfa 0 50 Ethiopian birr 0 51 Euro 10 52 Falkland Islands pound 0 53 Faroese krï¿½na 0 54 Fijian dollar 0 55 Gambian dalasi 0 56 Georgian lari 0 57 Ghana cedi 1 58 Gibraltar pound 0 59 Guatemalan quetzal 0 60 Guernsey pound 0 61 Guinean franc 0 62 Guyanese dollar 0 63 Haitian gourde 0 64 Honduran lempira 0 65 Hong Kong dollar 0 66 Hungarian forint 0 67 Icelandic krï¿½na 0 68 Indian rupee 142 69 Indonesian rupiah 0 70 Iranian rial 0 71 Iraqi dinar 0 72 Israeli new shekel 0 73 Jamaican dollar 0 74 Japanese yen 0 75 Jersey pound 0 76 Jordanian dinar 0 77 Kazakhstani tenge 0 78 Kenyan shilling 0 79 Kuwaiti dinar 0 80 Kyrgyzstani som 5 81 Lao kip 0 82 Lebanese pound 0 83 Lesotho loti 0 84 Liberian dollar 0 85 Libyan dinar 2 86 Lithuanian litas 0 87 Macanese pataca 0 88 Macedonian denar 0 89 Malagasy ariary 0 90 Malawian kwacha 0 91 Malaysian ringgit 0 92 Maldivian rufiyaa 0 93 Manx pound 0 94 Mauritanian ouguiya 0 95 Mauritian rupee 0 96 Mexican peso 0 97 Moldovan leu 0 98 Mongolian t_gr_g 0 99 Moroccan dirham 0 100 Mozambican metical 0 101 Namibian dollar 0 102 Nepalese rupee 0 103 Netherlands Antillean guilder 0 104 New Taiwan dollar 0 105 New Zealand dollar 0 106 Nicaraguan cordoba 0 107 Nigerian naira 3 108 North Korean won 0 109 Norwegian krone 0 110 Omani rial 0 111 Pakistani rupee 0 112 Panamanian balboa 0 113 Papua New Guinean kina 0 114 Paraguayan guarani 0 115 Peruvian nuevo sol 0 116 Philippine peso 205 117 Polish zloty 0 118 Qatari riyal 0 119 Romanian leu 0 120 Russian ruble 64 121 Rwandan franc 0 122 Sahrawi peseta 0 123 Saint Helena pound 0 124 San Thomas and Principe dobra 0 125 Saudi riyal 7 126 Serbian dinar 0 127 Seychellois rupee 0 128 Sierra Leonean leone 0 129 Singapore dollar 0 130 Solomon Islands dollar 0 131 Somali shilling 0 132 Somaliland shilling 0 133 South African rand 0 134 South Korean won 0 135 South Sudanese pound 0 136 Sri Lankan rupee 0 137 Sudanese pound 0 138 Surinamese dollar 0 139 Swazi lilangeni 0 140 Swedish krona 0 141 Swiss franc 0 142 Syrian pound 0 143 Tajikistani somoni 2 144 Tanzanian shilling 0 145 Thai baht 0 146 Tongan pa_anga 0 147 Transnistrian ruble 0 148 Trinidad and Tobago dollar 0 149 Tunisian dinar 0 150 Turkish lira 0 151 Turkmenistan manat 0 152 Tuvaluan dollar 0 153 Ugandan shilling 0 154 Ukrainian hryvnia 0 155 United Arab Emirates dirham 0 156 United States dollar 24 157 Uruguayan peso 0 158 Uzbekistani som 0 159 Vanuatu vatu 0 160 Venezuelan bolï¿½var 0 161 Vietnamese dong 0 162 West African CFA franc 0 163 Yemeni rial 0 164 Zambian kwacha 0 165 Other 0 166 West Africa CFA Franc 9 Sysmiss 1980 How much is left to be repaid to the person/institution that loaned the money? How much is left to be repaid to the person/institution that loaned the money? 516 1938 0 950000 What was the currency? What was the currency? 120 2334 51 166 1 Afghan afghani 0 2 Albanian lek 0 3 Algerian dinar 0 4 Angolan kwanza 0 5 Argentine peso 0 6 Armenian dram 0 7 Aruban florin 0 8 Australian dollar 0 9 Azerbaijani manat 0 10 Bahamian dollar 0 11 Bahraini dinar 0 12 Bangladeshi taka 0 13 Barbadian dollar 0 14 Belarusian ruble 0 15 Belize dollar 0 16 Bermudian dollar 0 17 Bhutanese ngultrum 0 18 Bolivian boliviano 0 19 Bosnia and Herzegovina convertible mark 0 20 Botswana pula 0 21 Brazilian real 0 22 British pound 0 23 Brunei dollar 0 24 Bulgarian lev 0 25 Burmese kyat 0 26 Burundian franc 0 27 Cambodian riel 0 28 Canadian dollar 0 29 Cape Verdean escudo 0 30 Cayman Islands dollar 0 31 Central African CFA franc 0 32 CFP franc 0 33 Chilean peso 0 34 Chinese yuan 0 35 Colombian peso 0 36 Comorian franc 0 37 Congolese franc 0 38 Cook Islands dollar 0 39 Costa Rican colï¿½n 0 40 Croatian kuna 0 41 Cuban convertible peso 0 42 Cuban peso 0 43 Czech koruna 0 44 Danish krone 0 45 Djiboutian franc 0 46 Dominican peso 0 47 East Caribbean dollar 0 48 Egyptian pound 0 49 Eritrean nakfa 0 50 Ethiopian birr 0 51 Euro 5 52 Falkland Islands pound 0 53 Faroese krï¿½na 0 54 Fijian dollar 0 55 Gambian dalasi 0 56 Georgian lari 0 57 Ghana cedi 1 58 Gibraltar pound 0 59 Guatemalan quetzal 0 60 Guernsey pound 0 61 Guinean franc 0 62 Guyanese dollar 0 63 Haitian gourde 0 64 Honduran lempira 0 65 Hong Kong dollar 0 66 Hungarian forint 0 67 Icelandic krï¿½na 0 68 Indian rupee 27 69 Indonesian rupiah 0 70 Iranian rial 0 71 Iraqi dinar 0 72 Israeli new shekel 0 73 Jamaican dollar 0 74 Japanese yen 0 75 Jersey pound 0 76 Jordanian dinar 0 77 Kazakhstani tenge 0 78 Kenyan shilling 0 79 Kuwaiti dinar 0 80 Kyrgyzstani som 4 81 Lao kip 0 82 Lebanese pound 0 83 Lesotho loti 0 84 Liberian dollar 0 85 Libyan dinar 0 86 Lithuanian litas 0 87 Macanese pataca 0 88 Macedonian denar 0 89 Malagasy ariary 0 90 Malawian kwacha 0 91 Malaysian ringgit 0 92 Maldivian rufiyaa 0 93 Manx pound 0 94 Mauritanian ouguiya 0 95 Mauritian rupee 0 96 Mexican peso 0 97 Moldovan leu 0 98 Mongolian t_gr_g 0 99 Moroccan dirham 0 100 Mozambican metical 0 101 Namibian dollar 0 102 Nepalese rupee 0 103 Netherlands Antillean guilder 0 104 New Taiwan dollar 0 105 New Zealand dollar 0 106 Nicaraguan cordoba 0 107 Nigerian naira 4 108 North Korean won 0 109 Norwegian krone 0 110 Omani rial 0 111 Pakistani rupee 0 112 Panamanian balboa 0 113 Papua New Guinean kina 0 114 Paraguayan guarani 0 115 Peruvian nuevo sol 0 116 Philippine peso 24 117 Polish zloty 0 118 Qatari riyal 0 119 Romanian leu 0 120 Russian ruble 29 121 Rwandan franc 0 122 Sahrawi peseta 0 123 Saint Helena pound 0 124 San Thomas and Principe dobra 0 125 Saudi riyal 0 126 Serbian dinar 0 127 Seychellois rupee 0 128 Sierra Leonean leone 0 129 Singapore dollar 0 130 Solomon Islands dollar 0 131 Somali shilling 0 132 Somaliland shilling 0 133 South African rand 0 134 South Korean won 0 135 South Sudanese pound 0 136 Sri Lankan rupee 0 137 Sudanese pound 0 138 Surinamese dollar 0 139 Swazi lilangeni 0 140 Swedish krona 0 141 Swiss franc 0 142 Syrian pound 0 143 Tajikistani somoni 2 144 Tanzanian shilling 0 145 Thai baht 0 146 Tongan pa_anga 0 147 Transnistrian ruble 0 148 Trinidad and Tobago dollar 0 149 Tunisian dinar 0 150 Turkish lira 0 151 Turkmenistan manat 0 152 Tuvaluan dollar 0 153 Ugandan shilling 0 154 Ukrainian hryvnia 0 155 United Arab Emirates dirham 0 156 United States dollar 16 157 Uruguayan peso 0 158 Uzbekistani som 0 159 Vanuatu vatu 0 160 Venezuelan bolï¿½var 0 161 Vietnamese dong 0 162 West African CFA franc 0 163 Yemeni rial 0 164 Zambian kwacha 0 165 Other 0 166 West Africa CFA Franc 8 Sysmiss 2334 Was any asset put up as collateral in order to get the loan? Was any asset put up as collateral in order to get the loan? 856 1598 0 1 0 No 784 1 Yes 72 Sysmiss 1598 What collateral was given?:Real estate What collateral was given? 72 2382 0 1 0 48 1 24 Sysmiss 2382 What collateral was given?:Farm What collateral was given? 72 2382 0 1 0 64 1 8 Sysmiss 2382 What collateral was given?:Equipment What collateral was given? 72 2382 0 1 0 69 1 3 Sysmiss 2382 What collateral was given?:Car or vehicle What collateral was given? 72 2382 0 1 0 68 1 4 Sysmiss 2382 What collateral was given?:Co-signer What collateral was given? 72 2382 0 1 0 69 1 3 Sysmiss 2382 What collateral was given?:Jewellery What collateral was given? 41 2413 0 1 0 33 1 8 Sysmiss 2413 What collateral was given?:Other What collateral was given? 74 2380 0 1 0 48 1 26 Sysmiss 2380 Please specify Other Please specify Other 24 0 "Land " 1 Gold Jewellery 1 Jewelries 2 Land 18 parte del raccolto della terra della famiglia 1 ÑŽÐ²ÐµÐ»Ð¸Ñ€Ð½Ð¾Ðµ ÑƒÐºÑ€Ð°ÑˆÐµÐ½Ð¸Ðµ 1 SUPERVISER TRANSLATE IN ENG: other collateral SUPERVISER TRANSLATE IN ENG: other collateral 4 0 "Jewelries " 1 Gold Jewellery 1 Jewelries 1 part of the annual harvest of his family farm 1 Did you lose any or all of the collateral due to failure to repay the loan? Did you lose any or all of the collateral due to failure to repay the loan? 33 2421 0 0 0 No 33 1 Yes 0 Sysmiss 2421 Were you working, even if you received no pay, prior to coming to work in %curre Were you working, even if you received no pay, prior to coming to work in %current_country%? 2454 0 0 1 0 No 729 1 Yes 1725 At that time did you work for yourself or for an employer, even if not paid ? At that time did you work for yourself or for an employer, even if not paid? 1446 1008 0 1 0 Was self-employed 226 1 Worked for an employer 1220 Sysmiss 1008 What was your main job before you came here? What was your main job before you came here? 1443 1011 1 88 1 Managers 6 2 Professionals 72 3 Technicians & Associate Professionals 26 4 Clerical support workers 19 5 Service & Sales workers 324 6 Skilled agricultural, forestry & forestry workers 59 7 Craft and related trade workers 483 8 Plant & machinery operators & assemblers 139 9 Elementary occupations (including domestic and farm work) 247 10 Armed forces occupations 1 88 Other/unspecified/missing 67 Sysmiss 1011 Please, describe the elementary occupation. Please, describe the elementary occupation. 236 " Ð¿Ð¾Ð¼Ð¾Ñ‰Ð½Ð¸Ðº Ð¿Ð¾Ð²Ð¾Ñ€Ð° Ð² ÐºÐ°Ñ„Ðµ" 1 " Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ Ð½Ð° ÑÑ‚Ñ€Ð¾Ð¹ÐºÐµ" 1 "aiutante in uno sfasciacarrozze " 1 "carico/scarico merci " 1 "coltivazione e raccolta " 1 "farmer " 1 "giardiniere " 1 "lavoro nei campi " 1 "manovale, lavoretti piccoli alla giornata " 1 "pescatore " 1 "venditore ambulante frutta e verdura con lo zio " 1 "welder " 1 "Ð³Ñ€ÑƒÐ·Ñ‡Ð¸Ðº " 1 "Ð¿Ð¾Ð´ÑÐ¾Ð±Ð½Ñ‹Ð¹ Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ " 2 "Ñ€Ð°Ð·Ð½Ð¾Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ " 5 99 1 Cook 1 Cook and cleaning only 1 Farmer 1 HSW 1 House Keeping in the Hotel 1 Laudrerer 1 Maid, household helper 1 agricoltore 1 agricoltura 1 agricoltural worker 3 aiuto cuoco, cameriere in un ristorante 1 aiuto muratore 2 aiuto muratore in libia 1 aiuto trasporto merci al mercato 1 allevatore e coltivatore 1 apprentice in tailor's shop 1 assistant in tailor's shop 1 autolavaggio 1 baby sitter 2 bracciante agricolo 2 cameriera in albergo 1 cameriere 1 carpenter 1 clerk at family grocery store 1 construction worker 1 construction labourer 4 construction worker 9 contadino 2 cuoco 1 curare piante e fiori nei giardini 1 domestic work 10 domestic worker 1 facchino 1 facchino alla fermata del bus 1 farm work 1 farmer 10 farmer on the family farm 1 garden labourer 1 giardiniere domestico pulizie casa e giardino 1 guardian of privat school 1 hairdresser 1 imbianchino 2 lavorava come cameriere e lavapiatti in un ristorante 1 lavorava nei campi con padre e fratelli 1 manovale edile 4 montatura e smontatura ponteggi in edilizia 1 muratore 10 muratore, venditore 1 operatore ecologico 1 painter 1 pescatore 1 piastrellusta 1 piccolo agricoltore 1 pulizie in supermercato 1 raccolta ferri vecchi, raccolta rottame 1 sari-sari store 1 sarto 1 scrap collector 1 sheperd 2 street vendor with her mother 1 tricycle driver 1 venditore ambulante 1 venditore di vestiti 1 window cleaner 1 Ð±Ñ€Ð°Ð»ÑÑ Ð·Ð° Ð»ÑŽÐ±ÑƒÑŽ Ñ€Ð°Ð±Ð¾Ñ‚Ñƒ, Ð»ÑŽÐ±Ñ‹Ðµ Ñ€Ð°Ð±Ð¾Ñ‚Ñ‹ Ð¿Ð¾ ÑÑ‚Ñ€Ð¾Ð¸Ñ‚ÐµÐ»ÑŒÑÑ‚Ð²Ñƒ Ð¸ Ñ€ÐµÐ¼Ð¾Ð½Ñ‚Ñƒ 1 Ð² Ð¿Ð¾Ð»ÑÑ… 1 Ð²Ð¾Ð´Ð¸Ñ‚ÐµÐ»ÑŒ 1 Ð²Ñ‹Ñ€Ð°Ñ‰Ð¸Ð²Ð°ÐµÐ¼ Ð¾Ð²Ð¾Ñ‰Ð¸ Ð¸ Ñ„Ñ€ÑƒÐºÑ‚Ñ‹ 1 Ð²Ñ‹Ñ€Ð°Ñ‰Ð¸Ð²Ð°Ð» Ñ„Ñ€ÑƒÐºÑ‚Ñ‹, ÑÐµÐ»ÑŒÑ…Ð¾Ð· Ñ€Ð°Ð±Ð¾Ñ‚Ñ‹ Ð² ÑÐ°Ð´Ñƒ, Ð±Ñ‹Ñ‚Ð¾Ð²Ñ‹Ðµ ÑƒÑÐ»ÑƒÐ³Ð¸ 1 Ð²Ñ‹Ñ€Ð°Ñ‰Ð¸Ð²Ð°Ð½Ð¸Ðµ Ð¾Ð²Ð¾Ñ‰ÐµÐ¹ 2 Ð³Ñ€ÑƒÐ·Ñ‡Ð¸Ðº 6 Ð³Ñ€ÑƒÐ·Ñ‡Ð¸Ðº Ð² Ð¼Ð°Ð³Ð°Ð·Ð¸Ð½Ðµ 1 Ð³Ñ€ÑƒÐ·Ñ‡Ð¸Ðº, ÑÐºÐ»Ð°Ð´Ñ‹ 1 Ð³Ñ€ÑƒÐ·Ñ‡Ð¸Ðº,Ñ‚Ð¾Ñ€Ð³Ð¾Ð²Ð»Ñ 1 Ð´Ð²Ð¾Ñ€Ð½Ð¸Ðº 1 Ð´Ð¾ÑÑ€ÐºÐ° 1 Ð·Ð°Ð¿Ñ€Ð°Ð²ÐºÐ°, Ð¾Ð¿ÐµÑ€Ð°Ñ‚Ð¾Ñ€, ÐºÐ°ÑÑÐ¸Ñ€ 1 ÐºÑƒÑ€ÑŒÐµÑ€ 1 Ð¼Ð°ÑÑ‚ÐµÑ€ Ð½Ð° ÑÑ‚Ñ€Ð¾Ð¹ÐºÐµ 1 Ð¼Ð°ÑÑ‚ÐµÑ€ Ð¿Ð¾ Ñ€ÐµÐ¼Ð¾Ð½Ñ‚Ñƒ Ð±Ñ‹Ñ‚. Ñ‚ÐµÑ…Ð½Ð¸ÐºÐ¸ 1 Ð¼Ð¾Ð¹ÐºÐ° Ð°Ð²Ñ‚Ð¾ 1 Ð½Ð° Ð¿Ð¾Ð»Ðµ ÑÐ°Ð¶Ð°Ð» Ð¸ ÑƒÐ±Ð¸Ñ€Ð°Ð» ÑƒÑ€Ð¾Ð¶Ð°Ð¹ 1 Ð¾Ð²Ð¾Ñ‰Ð¸ Ð²Ñ‹Ñ€Ð°Ñ‰Ð¸Ð²Ð°Ð» 1 Ð¾Ð²Ð¾Ñ‰Ð¸ Ð²Ñ‹Ñ€Ð°Ñ‰Ð¸Ð²Ð°Ð½Ð¸Ðµ 1 Ð¾Ñ‚Ð´ÐµÐ»Ð¾Ñ‡Ð½Ð¸Ðº 1 Ð¾Ñ…Ñ€Ð°Ð½Ð½Ð¸Ðº-Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ 1 Ð¿Ð°ÑÑ‚ÑƒÑ… 2 Ð¿Ð¾Ð²Ð°Ñ€ 1 Ð¿Ð¾Ð´ÑÐ¾Ð±Ð½Ñ‹Ð¹ ÑÐµÐ»ÑŒÑÐºÐ¾Ñ…Ð¾Ð·ÑÐ¹ÑÑ‚Ð²ÐµÐ½Ð½Ñ‹Ð¹ Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ ÐºÐ¾Ð½ÑŽÑˆÐ½Ð¸ 1 Ð¿Ð¾Ð´ÑÐ¾Ð±Ð½Ñ‹Ð¹ Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ 7 Ð¿Ð¾Ð´ÑÐ¾Ð±Ð½Ñ‹Ð¹ Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ Ð² ÑÐ¾Ð²Ñ…Ð¾Ð·Ðµ 1 Ð¿Ð¾Ð´ÑÐ¾Ð±Ð½Ñ‹Ð¹ Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ Ð½Ð° ÑÑ‚Ñ€Ð¾Ð¹ÐºÐµ 3 Ð¿Ð¾Ð´ÑÐ¾Ð±Ð½Ñ‹Ð¹ Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ Ð½Ð° Ñ„Ñ€ÑƒÐºÑ‚Ð¾Ð²Ð¾Ð¹ Ð±Ð°Ð·Ðµ 1 Ð¿Ð¾Ð¼Ð¾Ñ‰Ð½Ð¸Ðº Ð² Ð´Ð¾Ð¼Ð¾Ñ…Ð¾Ð·ÑÐ¹ÑÑ‚Ð²Ðµ 1 Ð¿Ð¾Ð¼Ð¾Ñ‰Ð½Ð¸Ñ†Ð° Ð¿Ð¾Ð²Ð¾Ñ€Ð° Ð² ÐºÐ°Ñ„Ðµ 1 Ð¿Ð¾ÑÑƒÐ´Ð¾Ð¼Ð¾Ð¹Ñ‰Ð¸Ñ†Ð° 1 Ð¿Ñ€Ð¾Ð´Ð°Ð²ÐµÑ† 1 Ð¿Ñ€Ð¾Ð´Ð°Ð²ÐµÑ†, Ð²Ð¾ÑÐ¿Ð¸Ñ‚Ð°Ñ‚ÐµÐ»ÑŒÐ½Ð¸Ñ†Ð° 1 Ð¿Ñ€Ð¾Ð´Ð°Ð¶Ð° 1 ÑÐ°Ð¿Ð¾Ð¶Ð½Ð¸Ðº 1 ÑÐ±Ð¾Ñ€ ÑƒÑ€Ð¾Ð¶Ð°Ñ 1 ÑÐ±Ð¾Ñ€ Ñ„Ñ€ÑƒÐºÑ‚Ð¾Ð² Ð¸ Ð¿Ñ€Ð¾Ð´Ð°Ð¶Ð° Ð¸Ñ… Ð½Ð° Ñ€Ñ‹Ð½ÐºÐµ 2 ÑÐ±Ð¾Ñ€ Ñ…Ð»Ð¾Ð¿ÐºÐ° 1 ÑÐ²Ð¾Ðµ Ñ…Ð¾Ð·ÑÐ¹ÑÑ‚Ð²Ð¾ - Ð²Ñ‹Ñ€Ð°Ñ‰Ð¸Ð²Ð°Ð»Ð¸ Ð¾Ð²Ð¾Ñ‰Ð¸ Ð¸ Ñ‚.Ð´. 1 ÑÐµÐ·Ð¾Ð½Ð½Ñ‹Ðµ ÑÐµÐ»ÑŒÑÐºÐ¸Ðµ Ñ€Ð°Ð±Ð¾Ñ‚Ñ‹ 1 ÑÐµÐ»ÑŒÑÐºÐ¾Ñ…Ð¾Ð·ÑÐ¹ÑÑ‚Ð²ÐµÐ½Ð½Ñ‹Ð¹ Ñ€Ð°Ð±Ð¾Ñ‚Ð½Ð¸Ðº 1 ÑÐºÐ¾Ñ‚Ð¾Ð²Ð¾Ð´ÑÑ‚Ð²Ð¾ 1 ÑÐ¾Ð±Ð¸Ñ€Ð°Ð»Ð¸ Ñ…Ð»Ð¾Ð¿Ð¾Ðº 1 ÑÐ¾Ð²Ñ…Ð¾Ð·Ð¾Ð¼ Ð½Ð° Ð¿Ð¾Ð»Ðµ ÑÐ¾Ð±Ð¸Ñ€Ð°Ð»Ð¸ Ñ…Ð»Ð¾Ð¿Ð¾Ðº 1 ÑÐ¾Ñ€Ñ‚Ð¸Ñ€Ð¾Ð²Ð°Ð»Ð° ÑÐ¸Ð³Ð°Ñ€ÐµÑ‚Ñ‹ 1 ÑÑ‚Ñ€Ð¾Ð¸Ð»Ð¸ Ð´Ð¾Ð¼ 1 ÑÑ‚Ñ€Ð¾Ð¸Ñ‚ÐµÐ»ÑŒ 6 ÑÑ‚Ñ€Ð¾Ð¸Ñ‚ÐµÐ»ÑŒÑÑ‚Ð²Ð¾ 2 ÑÑ‚Ñ€Ð¾Ð¸Ñ‚ÐµÐ»ÑŒÑÑ‚Ð²Ð¾ Ð³Ñ€ÑƒÐ·Ñ‡Ð¸Ðº 1 ÑÑ‚Ñ€Ð¾Ð¹ÐºÐ°,Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ 1 ÑƒÐ±Ð¾Ñ€ÐºÐ° Ð¿Ð¾Ð¼ÐµÑ‰ÐµÐ½Ð¸Ð¹ 1 ÑƒÐ±Ð¾Ñ€Ñ‰Ð¸Ñ†Ð° 2 ÑˆÐ°Ñ…Ñ‚Ð°,Ð²Ð°Ð³Ð¾Ð½Ð¾Ñ€ÐµÐ¼Ð¾Ð½Ñ‚Ð½Ð¾Ðµ Ð´ÐµÐ»Ð¾ 1 Ñ‚ÐµÑ…Ð½Ð¸Ðº-Ð¼ÐµÑ…Ð°Ð½Ð¸Ðº Ð² ÑÐ¾Ð²Ñ…Ð¾Ð·Ðµ 1 Ñ‚Ð¾Ñ€Ð³Ð¾Ð²Ð»Ñ,Ñ„Ñ€ÑƒÐºÑ‚Ñ‹,Ð¾Ð²Ð¾Ñ‰Ð¸ 1 Ñ‚Ñ€Ð°ÐºÑ‚Ð¾Ñ€Ð¸ÑÑ‚ 1 Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ 3 Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ Ð² ÑÐµÐ»ÑŒÑÐºÐ¾Ð¼ Ñ…Ð¾Ð·ÑÐ¹ÑÑ‚Ð²Ðµ 1 Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ Ð½Ð° Ð±Ð°Ð·Ðµ 1 Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ Ð½Ð° ÑÑ‚Ñ€Ð¾Ð¹ÐºÐµ 2 Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ ÑÑ‚Ñ€Ð¾Ð¸Ñ‚ÐµÐ»ÑŒ ÑƒÐºÐ»Ð°Ð´Ñ‡Ð¸Ðº 1 Ñ€Ð°Ð·Ð½Ð¾Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ 7 Ñ€Ð°Ð·Ð½Ð¾Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ Ð½Ð° ÑÑ‚Ñ€Ð¾Ð¹ÐºÐ°Ñ…, Ð½Ð° Ð´Ð°Ñ‡Ð°Ñ… 1 Ñ€Ð°Ð·Ð½Ð¾Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ Ð½Ð° ÑÑ‚Ñ€Ð¾Ð¹ÐºÐµ 4 Ñ€Ð°Ð·Ð½Ð¾Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ Ð½Ð° Ñ…Ð»Ð¾Ð¿ÐºÐ¾Ð·Ð°Ð²Ð¾Ð´Ðµ 1 Ñ€ÐµÐ¼Ð¾Ð½Ñ‚ Ð¿Ð¾Ð¼ÐµÑ‰ÐµÐ½Ð¸Ð¹ 1 SUPERVISER TRANSLATE IN ENG: elementary occupation SUPERVISER TRANSLATE IN ENG: elementary occupation 382 0 " construction worker " 2 " farmer" 1 " hairdresser " 1 "agriculture " 39 "building construction " 1 "canteen " 1 "cartoon packing " 1 "cleaning " 1 "construction " 2 "construction labourer " 1 "domestic worker " 1 "driver " 3 "driving " 2 "electrician " 1 "farm " 10 "farmer " 1 "farming " 5 "furniture " 1 "painting " 1 "plastic factory " 1 "shopkeeper " 3 "tailor " 3 "teacher " 2 "tractor driving " 1 Ac Line India 1 Agriculture 45 Agriculture+Shop 1 Bricks Factory 1 Business 2 Business + Agriculture 1 Cod Stor in india 1 Community Group Secretary 1 Construction 2 Cook 1 Cooking 1 Cooking in India 1 Domestic worker 1 Driver 7 Driving 2 Farm worker 1 Flower firm 1 HSW 2 Helper 2 Helper in Hotal 1 Hotal + Agriculture 1 Hotal and Teaching in Private School 1 Hotel cleaner 1 K L Cinema 1 Labour 5 Labour in india 1 Mason 1 Mechanics 1 Mesan 1 Meshan 1 Messan 1 Office Boy 1 Painting 1 Panting 1 Pharmacy 1 RCC Company India 1 Security 1 Shop 1 Shops 1 Silai katai 1 Tailor 3 Tailoring 1 Tile/ Marble Setting 1 Tricycle Driver 1 agricoltural worker 1 agricultural labourer 3 agricultural work 1 agriculture 4 apprentice in tailor's shop 1 baby sitter (privately employed by a family) 1 bike fixing 1 bike mechanic 1 carpenter 3 cattle farmer (cows) 1 cement making 1 cleaner in a supermarket 1 clerk at family grocery store 1 construction labourer 17 construction labourer and street vendor 1 construction worker 4 construction worker (labourer) 1 contruction labourer 1 cook 3 cook assistant/waiter 1 cooking 1 cooking In India 1 cosmetic shop 1 custodian in a private school 1 dhaka company 1 dish washer 1 domestic worker (gardener, house cleaner...) 1 driver 4 driving 1 electrician 1 farm 31 farm worker 2 farmer 6 farmer (family subsistence) 1 farmer in the family farm 1 farmer on the family farm 1 farming 5 fisherman 2 freight handler 1 freight handler (in a bus station) 1 freight handler (in construction sites) 1 freight handler (street market) 1 furniture 3 garden labourer 1 gardener 1 garment cutter 1 gas plant 1 hotel cleaning 1 house painter 2 household worker 1 hsw 3 india hotel service 1 labourer in a car washing station 1 laundry works 1 marketing manager 1 mason 6 migrant worker 1 mill 1 mobile cover factory 1 mobile repair 1 painting 1 panting 1 plasterer 1 refuse worker 1 refuse worker - sorting spare parts from old cars (ina scrapyard) 1 restaurant helper 1 room cleaner in an hotel 1 sari making 1 service boy 1 service boy (India) 1 sheep shepherd 1 shepherd 1 shop 2 shopkeeper 4 stone cutter 2 street cleaner, refuse worker 1 street vendor 3 street vendor (clothes) 1 subsistance farmer 2 subsistence farmer 2 taecher 1 tailor 6 tailoring 3 tile marble factory 1 tile setter (assistant) 1 tricycle driver 2 truck driver 1 waiter 1 waiter/kitchen helper in a fast food restaurant 1 wall painter 1 wielding 1 window cleaner 1 worker 1 What products were made or what services were provided by your employer? What products were made or what services were provided by your employer? 1212 " Ð±ÑƒÑ…Ð³Ð°Ð»Ñ‚ÐµÑ€" 1 " Ð¿Ñ€Ð¾Ð´Ð°Ð¶Ð° Ñ„Ñ€ÑƒÐºÑ‚Ð¾Ð²" 1 " Ð°Ð¿Ñ‚ÐµÐºÐ°, Ñ„Ð°Ñ€Ð¼Ð°Ñ†ÐµÐ²Ñ‚" 1 " Ð¼ÐµÐ´Ð¸Ñ†Ð¸Ð½ÑÐºÐ¾Ðµ Ð¾Ð±ÑÐ»ÑƒÐ¶Ð¸Ð²Ð°Ð½Ð¸Ðµ" 1 " Ð¿Ñ€Ð¾Ð´Ð°Ð²ÐµÑ† Ð² Ð¼Ð°Ð³Ð°Ð·Ð¸Ð½Ðµ" 1 " ÑÑ‚Ñ€Ð¾Ð¸Ñ‚ÐµÐ»ÑŒÑÑ‚Ð²Ð¾" 1 "Beauty and Wellness " 1 "Constriction " 3 "Construction " 2 "Construction " 65 "ConstruÃ§tion " 1 "Teaching " 1 "Welder " 1 "bar restaurant " 1 "cameriere e lavapiatti in un ristorante " 1 "candy factory " 1 "construction " 22 "costruzione mobili " 1 "faceva il tornitore in una sorta di industria " 1 "goods " 1 "imbiancatura edifici " 1 "installazioni e riparazioni idraulicche " 1 "raccolta nei campi di ortaggi " 1 "supplier of metal " 1 "vendita alimenti " 1 "vendita ambulante " 1 "Ð¡Ñ‚Ñ€Ð¾Ð¸Ñ‚ÐµÐ»ÑŒÐ½Ñ‹Ðµ Ð¼Ð°Ñ‚ÐµÑ€Ð¸Ð°Ð»Ñ‹ " 1 "Ð±ÑƒÑ…Ð³Ð°Ð»Ñ‚ÐµÑ€ " 2 "Ð²Ñ‹Ð¿ÑƒÑÐº Ð°Ð²Ñ‚Ð¾Ð·Ð°Ð¿Ñ‡Ð°ÑÑ‚ÐµÐ¹ " 1 "ÐºÑƒÑ€ÑŒÐµÑ€ÑÐºÐ¸Ðµ ÑƒÑÐ»ÑƒÐ³Ð¸ " 1 "Ð¼Ð°ÑÐ»Ð¾Ð¶Ð¸Ñ€Ð¾Ð²Ð¾Ð¹ ÐºÐ¾Ð¼Ð±Ð¸Ð½Ð°Ñ‚ " 1 "Ð¼Ð¾Ð½Ñ‚Ð°Ð¶Ð½Ð¸Ðº " 1 "Ð¾Ð±ÑƒÐ²Ð½Ð¾Ðµ Ð¿Ñ€Ð¾Ð¸Ð·Ð²Ð¾Ð´ÑÑ‚Ð²Ð¾ " 1 "Ð¿Ñ€Ð¾Ð´Ð°Ð²ÐµÑ† " 2 "Ð¿Ñ€Ð¾Ð´Ð°Ð¶Ð° ÑÐµÐ»ÑŒÑÐºÐ¾Ñ…Ð¾Ð·ÑÐ¹ÑÑ‚Ð²ÐµÐ½Ð½Ð¾Ð¹ Ð¿Ñ€Ð¾Ð´ÑƒÐºÑ†Ð¸Ð¸ " 1 "Ð¿Ñ€Ð¾Ð´Ð°Ð¶Ð° Ñ‚Ð¾Ð²Ð°Ñ€Ð¾Ð² Ð´Ð»Ñ Ð´Ð¾Ð¼Ð° " 1 "Ð¿Ñ€Ð¾Ð´Ð°ÑŽ Ñ/Ñ… Ð¿Ñ€Ð¾Ð´ÑƒÐºÑ†Ð¸ÑŽ " 1 "Ð¿Ñ€Ð¾Ð¸Ð·Ð²Ð¾Ð´ÑÑ‚Ð²Ð¾ Ð¼ÐµÑ‚Ð°Ð»Ð»Ð¾Ð¿Ñ€Ð¾ÐºÐ°Ñ‚Ð° " 1 "Ð¿Ñ€Ð¾Ð¸Ð·Ð²Ð¾Ð´ÑÑ‚Ð²Ð¾ ÑÑ‚Ñ€Ð¾Ð¸Ñ‚ÐµÐ»ÑŒÐ½Ð¾Ð³Ð¾ Ð¾Ð±Ð¾Ñ€ÑƒÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ (Ñ€Ð°Ð±Ð¾Ñ‚Ð°Ð» Ð¾Ð¿ÐµÑ€Ð°Ñ‚Ð¾Ñ€Ð¾Ð¼-Ð½Ð°Ð»Ð°Ð´Ñ‡Ð¸ÐºÐ¾Ð¼ Ð¾Ð±Ð¾Ñ€ÑƒÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ) " 1 "Ð¿Ñ€Ð¾Ð¸Ð·Ð²Ð¾Ð´ÑÑ‚Ð²Ð¾ Ñ‚Ð¾Ð²Ð°Ñ€Ð¾Ð² Ð´Ð»Ñ Ð´Ð¾Ð¼Ð° " 1 "ÑÐ±Ð¾Ñ€Ñ‰Ð¸Ðº Ð³Ð¾Ñ‚Ð¾Ð²Ð¾Ð¹ Ð¿Ñ€Ð¾Ð´ÑƒÐºÑ†Ð¸Ð¸, Ñ‚ÑƒÑ€Ð½Ð¸ÐºÐµÑ‚Ñ‹ " 1 "ÑÐ²Ð°Ñ€Ñ‰Ð¸Ðº " 1 "ÑÑ‚Ñ€Ð¾Ð¸Ñ‚ÐµÐ»ÑŒÐ½Ñ‹Ðµ Ð¸ Ñ€ÐµÐ¼Ð¾Ð½Ñ‚Ð½Ñ‹Ðµ Ñ€Ð°Ð±Ð¾Ñ‚Ñ‹ " 1 "ÑŽÑ€Ð¸ÑÑ‚ " 1 "Ñ€Ð°Ð·Ð½Ð¾Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ " 1 Accessories 1 Activities of Household 1 Agricultural Services 2 Agricultural services, planting and harvesting of rice grain. 1 Agriculture Services 1 Appliances 1 Automotive 1 Beauty Parlor Shop 1 Bottle works of San Miguel 1 Bread and pastries 1 Carpenting 1 Catering Services 1 Cement 1 Chicken Meat 1 Clerical service 1 Clothes 1 Clothing repair 1 Coffee, juices, food service 1 Collecting of lottery money 1 Constriction 3 Constructing buildings 1 Construction 318 Construction Firm 1 Construction Services 6 Construction firm 1 Contractor 1 Cooking and cleaning 1 Doughnuts 1 Driving services 1 Educational 1 Educational Services 1 Electrician 1 Electronic 1 Elevator installer 1 English and French teacher 1 Entertainment Products 2 Event Organizer 1 FOOD SERVICES 1 Farming. Rice grains 1 Fast food chain 1 Feeds shop 1 Fish 1 Fish Seller 1 Fishes 1 Food 1 Food Chain 1 Food Manufacturing 1 Food Service 2 Food Services 11 Food service 1 Food service, fast food chain 1 Food services 3 Garments 2 Good and services 1 Goods 2 Goods, Garments 1 Government Services 1 Government/Hospital Services 1 Haircut and grooming services 1 Health Services 1 Household Services 2 Household service 1 Household services 1 Housemaid 1 Insurance 1 Internet services, Globe telecom 1 Laborer in an electronics shop 1 Lending Services 1 Line cook for Pansiteria Lido 1 Livelihood 1 Livelihood Services 1 Loan Services 1 Lodging and Accommodation 1 Logistics 1 Logistics/Freight forwarders 1 Lottery at PCSO 1 Manpower 1 Meat Production 1 Medical 1 Monetary and Bank Services 1 Motor parts 1 Nanny 1 Oil and gas company 1 Personal Hygiene Goods 1 Pipes 1 Plumbing Services 1 Poultry 1 Printing of shirts 1 Production of dancing props 1 Promodiser (Kitchen ware) 1 Recruitment firm 1 Repairing Services 1 Restaurant Services 1 Restaurant, food and beverage 1 Sales 3 Sales lady 2 Security Services 1 Seller in supermarket 1 Selling of pipes 1 Services in Lodging or Housing 1 Shipping Company 1 Shoes and apparel in a mall 1 Skin care products 1 Soap 1 Super Market 1 Supermarket 1 Tailor 1 Tailoring/Garments 1 Teaching little kids 1 Technician of photocopying machines 1 Telecommunications 1 Transportation 1 Transportation Company 1 Transportation Services 2 Transportation services 1 Upholstery Services 1 Water 1 Water Refilling Services 1 Water Treatment 1 Welder for paper mill 1 Welding pipe lines 1 Wellness spa 1 abbigliamento 1 accountant in news agency 1 agricoltura worker 1 agricolture 1 aiutante muratore in costruzione case 1 aiutava madre in negozio ferramenta 1 aiutava nei cantieri (chiamiamoli cosÃ¬) facendo qualsiasi cosa gli venisse chiesta 1 aiutava nelle costruzioni, vendeva al mercato 1 allenava bambini 1 apprendista per fare infissi in alluminio 1 autista di taxi e camion 1 baker 2 bakery 1 beautician 1 bracciante agricolo 1 bracciante in piantagione canna da zucchero 1 bread 1 bricklayer 2 building houses 4 building wooden roof structures 1 buildings 6 buildings/houses 3 built houses 1 buko shake stand 1 calzolaio e lavorazione pelli 1 cameriere villaggio turistico 1 canteen server 1 car repair 1 car solutions welder 1 carpenter 3 carpenting for houses 1 carpentry (construction work) 1 cars 1 cellphone company 1 checking the quality of products 1 christmas lights 1 cleaning services 1 clerical work in public administration 1 clerk in clothing store 1 cloth 1 clothing repair 1 coca cola and other drinks 1 coltivazione arachidi, mais etc. 1 commercio, servizio di riparazione idraulica 1 computer technician 1 construction 2 construction services 2 construction work 1 costruzione 2 costruzione case 8 costruzioni case 1 councelling 1 creazione fondamenta delle case 1 creazione vestiti 1 crew bk 1 decorazione/mantenimento giardino di Villa privata 1 delivering Feeds of animals 1 domestic work, gardening 1 domestic worker 1 doors and iron gates 1 edilizia 1 elettricista, installazione impianti elettrici e generatori 1 fabrics 1 facchinaggio, aiuto trasporto merci al mercato 1 factory ng plantsahan 1 factory work, producing tyres 1 falegname 1 farmer 1 filmmaker 1 financial services 1 food 2 food Services 1 food seller 1 foods and accommodation 1 frutta e verdura 1 gardener 1 garment shop 1 gas station attendant 1 gasoline 1 giardinaggio 1 giardinaggio e pulizia 1 goat 1 gold miner 1 goods 2 government service (barangay staff) 1 grooming services 1 guardare un bambino 1 hairdresser 3 hairdressing 1 hardware 1 household service 1 household services 1 houses 3 housing 1 hr g liner company 1 hsw 1 idraulico, imbianchino in impresa edile 1 imballaggio bottiglie coca-cola 1 imbiancare case 1 impiegato amministrativo ospedale 1 installazione pavimenti e piastrelle in case in costruzione 1 internal computer networks 1 keeping farm animals 1 koranic teacher 1 land transportation (truck driver) 1 laundry service 1 lavorava come commesso in un emporio 1 lavorava in fabbrica, produceva bulloni 1 lavorava in pasticceria 1 lavorava nei campi (non ho capito bene cosa di preciso si coltivasse) e badava agli animali 1 lavorava saltuariamente sui pescherecci 1 lavoravano il ferro per qualsiasi oggetto (pezzi per porte o altri utensili) 1 lavorazione di gas e sostanze chimiche 1 maintenance 1 maintenance factory 1 manpower 1 manpower services 1 manufacture of doors & windows (welder) 1 manufacturing industry 1 meccanico 1 meccanico di automobili 1 meccanico specializzato sistemava auto 1 mechanic, car repairer 1 montaggio e smontaggio pezzi e ricambi auto usate 1 montaggio e smontaggio ponteggi per costruzione edifici 1 mucche, mais 1 muratore 1 negozio alimentare 1 nurse 1 nursing services 1 operaio addetto alla lavorazione dei metalli 1 operaio in fabbrica metallurgica 1 operaio tessile in industria tessile 1 painting buildings' 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Ñ‚ÐµÑ…Ð½Ð¸ÐºÐ¸ 1 Ñ€ÐµÐ¼Ð¾Ð½Ñ‚ Ð¸ ÑÑ‚Ñ€Ð¾Ð¸Ñ‚ÐµÐ»ÑŒÑÑ‚Ð²Ð¾ 1 Ñ€ÐµÐ¼Ð¾Ð½Ñ‚ Ð¼Ð°ÑˆÐ¸Ð½ 1 Ñ€ÐµÐ¼Ð¾Ð½Ñ‚ Ð¾Ð±ÑƒÐ²Ð¸ 3 Ñ€ÐµÐ¼Ð¾Ð½Ñ‚ ÑÐ»ÐµÐºÑ‚Ñ€Ð¾Ð¿Ñ€Ð¸Ð±Ð¾Ñ€Ð¾Ð² 2 Ñ€ÐµÑÑ‚Ð¾Ñ€Ð°Ð½ 3 Ñ€ÐµÑÑ‚Ð¾Ñ€Ð°Ð½Ð½Ñ‹Ð¹ Ð±Ð¸Ð·Ð½ÐµÑÑ 1 Ñ€Ð¸ÐµÐ»Ñ‚Ð¾Ñ€ÑÐºÐ¸Ðµ ÑƒÑÐ»ÑƒÐ³Ð¸ 1 Ñ€Ñ‹Ð» ÐºÐ¾Ð»Ð¾Ð´Ñ†Ñ‹ 1 SUPERVISER TRANSLATE IN ENG: type of product/service SUPERVISER TRANSLATE IN ENG: type of product/service 782 " Logistics/Freight forwarders " 1 " Welding services " 1 " building houses " 1 " building houses (mason work)" 1 " buildings" 1 " garments factory for export" 1 " hairdresser " 1 " take care of 3 children " 1 "Accessories " 1 "Beauty and Wellness " 1 "Beauty grooming " 1 "Bread and pastries " 1 "Cellphone company " 1 "Clerical service " 1 "Collecting of lottery money " 1 "Construction " 28 "Construction Firm " 1 "Construction Services " 1 "Contractor " 1 "Educational Services " 1 "English and French teacher " 1 "Feeds shop " 1 "Food Chain " 1 "Food Manufacturing " 1 "Food Services " 2 "Food services " 2 "Government Services " 1 "Haircut and grooming services " 1 "Insurance " 1 "Loan Services " 1 "Lottery at PCSO " 1 "Oil and gas company " 1 "Personal Hygiene Goods " 1 "Pipes " 1 "Recruitment firm " 1 "Restaurant Services " 1 "Sales " 1 "Security Services " 1 "Shoes and apparel in a mall " 1 "Site Preparation " 2 "Skin care products " 1 "Tailoring/Garments " 1 "Training services " 1 "Transportation " 1 "Transportation Services " 1 "Transportation services " 1 "Upholstery Services " 1 "Water Treatment " 1 "accountant in news agency " 1 "buko shake stand " 1 "carpenting for houses " 1 "checking the quality of products " 1 "cleaning services " 1 "delivering feeds of animals " 1 "food " 1 "food Services " 1 "food preparation and delivery " 1 "gardener " 1 "goods " 1 "household service " 1 "internal computer networks " 1 "livestock rearing, corn " 1 "painting walls " 1 "plastic factory " 1 "setting fixtures (windows & doors) " 1 "street food " 1 "tobacco company " 1 "waiter in restaurant " 1 "wooden furniture, gates, etc. " 1 Activities of Household 1 Activities of private household 4 Activities of private households 3 Activities of private households as employers of domestic staff 1 Agricultural Services 1 Agricultural services 1 Agricultural services, planting and harvesting 1 Apparel 1 Automotive 1 Bakery 1 Beauty Grooming 1 Beauty Parlor Shop 1 Building houses 1 Candy factory 1 Catering services 1 Christmas accessories 1 Clothing repair 1 Constrcution 1 Construction 373 Construction services 2 Constructtion 2 Construsction 1 Driving services 1 Electrical, plumbing and other construction installation activities 1 Electronic 1 Electronics 1 Entertainment Products 1 Entertainment products 1 Events 1 Fish 1 Fishing activities 1 Food 2 Food Service 1 Food Services 1 Food processing 1 Food serivces 1 Food service 4 Food services 8 Garment 3 Goods 4 Government/Hospital Services 1 Health 1 Health Services 1 Hotel Services 1 House appliances 1 Housing 1 Internet services 1 Kitchen utensils 1 Laundry service 1 Lending Services 1 Livelihood 1 Lodging and Accommodation 1 Maintenance and repair 1 Maintenance of vehicles 1 Maintenance services 1 Maintenance staff 1 Manpower 2 Manpower services 1 Manufacturing 1 Meat Production 1 Monetary and Bank Services 1 Oil and Gas 1 Pastry 1 Photocopying services 1 Poultry 1 Printing press 1 Production of dancing props 1 Public administration 1 RTW 4 Restaurant 1 Sales 3 Selling drinks and beverages in the streets 1 Sercive Worker 1 Services 1 Shipping Company 1 Site Preparation 6 Spa 1 Teaching 1 Telecommunications service 1 Transportation Services 1 Transportation and logistics 1 Welding 1 Welding pipe lines 1 administrative clerk in a hospital 1 agriculture 1 appliances 1 assistant teacher in a coranic school (marabout) 1 at a vegetable warehouse 1 baker 1 bakery 1 baking bread 1 blacksmith in a small workshop, producing iron tools 1 bottle works 1 building houses 21 building wooden roof structures 1 car and truck driver 1 car mechanic 1 car reparation 1 car washing 1 carpenter, manufactoring of wooden furniture 1 carpentry 2 carpentry work in construction 1 cement 1 cleaning and maintaning a private garden 1 cloth 1 clothes 1 cobbler and labourer in a tanning workshop 1 collecting garbages 1 collecting, sorting metal garbage 1 construction 6 construction service 2 construction services 5 construction work 2 construction work (houses) plastering 1 construction work, building houses 1 construction work, house decoration 1 construction, scaffolding 1 construction/houses 1 cotton 2 counceling 1 crop harvesting (vegetables) 1 crops and livestock 1 domestic electrical systems 1 domestic work 1 domestic work, gardening 1 education 1 erecting houses' foundations 1 extracting gold 1 farm animal keeper 1 farmer, cultivate peanuts, corn etc. 1 farming 1 farming and harvesting fruits 1 farming products 1 filmmaker 1 financial services 1 fishery 1 food 3 food and beverages 1 food preparation 1 food production/restaurant services 1 food service 2 food services 2 freight handling 2 freight handling in a food store 1 gas station attendant 1 glass production and housing reparation 1 good and services 1 goods 1 hairdresser 1 hairdressing 1 hardware 1 house decoration 1 house painting 1 household services 1 houses 1 installation and repair of plumbing equipment 1 labourer in fishing ships 1 lathe turner in a metal industry plant 1 laundry services 1 logistics 1 made-up wearing apparel 1 maintenance of computer services and equipments 1 manufactoring of chemical products 1 manufactoring of doors and iron gates 1 manufactoring of garments 1 massage services 1 mechanic and car repairer 1 mechanical painting (motor vehicles) 1 metal 1 metal production 1 metal worker in a plant producing bolts 1 motor parts 1 motor vehicle reparation 1 motor vehicles repair 1 nursing services 1 packaging in a factory producing soda (coca-cola etc) 1 painting houses 2 peanuts 1 personal services ( hairdresser ) 1 picking fruits and vegetables in a farm 1 pipes 1 plastering 1 plumber 1 plumber, house painter in a construction firm 1 plumbing (domestic reparation services) 1 plumbing services, reparation (unpaid apprenticeship) 1 private transport (passengers) 1 raising goats 1 repair of electricity generators 1 repair of motor vehicles 1 repair of motorvehicles 1 repair of wearing apparel 1 restaurant services 1 retail sale of food and groceries (stall in street market) 1 retail trade (clothes) 1 retail trade of fruits and vegetables 1 room cleaning, hotels 1 saleman in a general store (family business) 1 saleperson in a wearing apparel store 1 secretary in a bank 1 security services 1 selling clothes & other garments 1 selling garments and clothing 1 service crew 1 sewing suits 1 shop saleperson (in a pastry shop) 1 shopkeeper in a hardware store 1 soap 1 soccer coach for children 1 specialised construciton work, buildin completion and decoration, tile setting 1 specialized construction work, building completion and finishing, tile setting 1 street vendor 1 subsistence farming 1 taxi 1 taxi driver 1 teaching 1 telecommunication service 1 textiles 1 transportation service 1 transportation services 2 unnder garments 1 vegetable oil (peanuts) 1 vegetables 1 vegetables for family consumption 1 vehicle painting (cars) 1 vendor 1 waiter in a touristic resort 1 waiter in restaurant 1 water 1 welder 1 welding 1 welding and installing metal doors and windows 1 wood work - make up wooden furniture 1 wooden furniture, wholesale trade of wood 1 worked in a sugarcane plantation 1 workman in a plant producing basic metals 1 workman in a plant/workshop producing weave and fabric (manufacture of textiles) 1 ISIC code for products made or services provided. Classification 1 ISIC code for products made or services provided. Classification 1 946 1508 1 17 1 Agriculture, hunting and related service activities 67 2 Fishing, aquaculture and service activities incidental to fishing 4 3 Mining of coal and lignite; extraction of peat 4 4 Manufacture of food products and beverages 69 5 Electricity, gas, steam and hot water supply 6 6 Construction 515 7 Sale, maintenance and repair of motor vehicles and motorcycles; retail sale of automotive fuel 103 8 Hotels and restaurants 54 9 Land transport; transport via pipelines 25 10 Financial intermediation, except insurance and pension funding 7 11 Real estate activities 1 12 Public administration and defence; compulsory social security 5 13 Education 16 14 Health and social work 13 15 Sewage and refuse disposal, sanitation and similar activities 5 16 Activities of private households as employers of domestic staff 44 17 Extraterritorial organizations and bodies 8 Sysmiss 1508 How much did you earn as a %type_job_before% in the country where you lived prio How much did you earn as a %type_job_before% in the country where you lived prior to working in %current_country%? 1685 769 0 1500000 2016 constant USD equivalent of amount_earn_prior 1681 773 0 439882.094 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 1633 821 51 166 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 19 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 3 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 421 69 indonesian rupiah 1 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 117 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 52 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 1 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 1 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 262 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 30 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 276 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 130 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 2 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 99 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 50 157 uruguayan peso 0 158 uzbekistani som 75 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 8 166 West Africa CFA Franc 86 Sysmiss 821 What was the unit? What was the unit? 1635 819 1 4 1 Day 368 2 Week 48 3 Month 1126 4 Year 93 Sysmiss 819 Did you secure a job in %current_country% before leaving %home_country%? Did you secure a job in %current_country% before leaving %home_country%? 2102 352 0 1 0 No 962 1 Yes 1140 Sysmiss 352 How long did it take you to find information about the job? In months How long did it take you to find information about the job? In months 1114 1340 0 25000 Did your search for the job affect your ability to work your previous job in "co Did your search for the job affect your ability to work your previous job in "country_before%? 715 1739 0 1 0 No 662 1 Yes 53 Sysmiss 1739 How did you apply for the job? How did you apply for the job? 1139 1315 1 88 1 Relatives/friends 329 2 Individual broker 343 3 Recruitment agency 425 4 Government employment service center or other government agencies 6 5 Employer 26 88 Other 10 Sysmiss 1315 Do you hold a skill certificate issued by vocational testing center? Do you hold a skill certificate issued by vocational testing center? 2102 352 0 1 0 No 1501 1 Yes 601 Sysmiss 352 What skill certificate do you have? What skill certificate do you have? 601 0 " CÐµÑ€Ñ‚Ð¸Ñ„Ð¸ÐºÐ°Ñ‚ Ð¼Ð°ÑÑ‚ÐµÑ€Ð° Ð´ÐµÐ¿Ð¸Ð»ÑÑ†Ð¸Ð¸" 1 " Electrician ITI " 1 " ITI in Welder" 1 " Ð´Ð¸Ð¿Ð»Ð¾Ð¼ Ñ„Ð¸Ð·Ð¸ÐºÐ° Ð¸ Ð¸Ð½Ñ„Ð¾Ñ€Ð¼Ð°Ñ‚Ð¸ÐºÐ°" 1 " Ð”Ð¸Ð¿Ð»Ð¾Ð¼ Ð¾ Ð¿Ñ€Ð¸ÑÐ²Ð¾ÐµÐ½Ð¸Ð¸ ÐºÐ²Ð°Ð»Ð¸Ñ„Ð¸ÐºÐ°Ñ†Ð¸Ð¸ Ð¼Ð°ÑÑ‚ÐµÑ€ Ð¼Ð°Ð½Ð¸ÐºÑŽÑ€Ð°" 1 "Computer Science, Reflexology " 1 "Driver Heavy Vehicle Licences " 1 "Driver Heavy Vehicle Licences " 4 "Electrician ITI " 3 "Heavy Vehicle Driver Licences " 2 "Heavy Vehicle Driver Licences " 1 "Heavy Vehicle Driver Licences " 4 "Heavy Vehicle Driver licences " 1 "Heavy vehicle Driver licences " 1 "Heavy vehicle driver Licences " 3 "Household " 1 "Household Service " 1 "Household Services " 1 "Housekeeping, Cooking " 1 "I. T. I. Electrician " 1 "ITI Electrician " 3 "Language, Household services. " 1 "Plumber ITI " 1 "Plumber ITI " 1 "SMAW NC II " 1 "Welder ITI " 3 "diploma tecnico " 1 "house keeping and baking skills " 1 "ÐºÐ°Ð¼ÐµÐ½Ñ‰Ð¸Ðº " 1 "Ð¼Ð¾Ð½Ñ‚Ð°Ð¶Ð½Ð¸Ðº " 1 "ÐžÑ„Ð¸Ñ-Ð¼ÐµÐ½ÐµÐ´Ð¶ÐµÑ€ " 1 "ÑÐµÑ€Ñ‚Ð¸Ñ„Ð¸ÐºÐ°Ñ‚ " 2 1. ÐœÐµÐ´Ð¸Ñ†Ð¸Ð½ÑÐºÐ¸Ðµ ÐºÑƒÑ€ÑÑ‹ 2.ÐœÐ°ÑÑÐ°Ð¶Ð½Ñ‹Ðµ ÐºÑƒÑ€ÑÑ‹ 1 1250 Ñ€ÑƒÐ±Ð»ÐµÐ¹ Ð½Ð° 3 Ð¼ÐµÑÑÑ†Ð° 1 99 12 Automotive NCII 1 Automotive NS II 1 Baking and food processing 1 Barista 2 Bartending Certificate 1 Bartending, food and beverage, house keeping, front desk 1 Bookkeeper, household services 1 Bread and Pastry 1 Bread and Pastry NCII, Bartending NCII, Housekeeping NCII 1 Caregiver 1 Caregiving NC II 1 Carpenter iti 1 Carpentry 1 Cooking and dining 1 Cooking, washing clothes, electrical appliances (e.g automatic washing machine) 1 Diploma di infermiera 1 Domestic Helper 3 Driver Heavy Vehicle Licences 1 Driver Heavy Vehicle Licences 2 Driver Light vehicle licences 1 Driver heavy vehicle licences 3 Driver light vehicle licences 3 Driving 1 Driving NC II 2 Electrical Iti 1 Electrician ITI 2 Electrician iti 15 Electricity NC II 1 Electronics 1 Etectrician iti 1 Fabricating Certificate 1 Fabricator 1 Fitter ITI 1 Food Technology 1 Food and Beverage NC II 1 Food and Beverage Services 1 Food and Beverages 1 Food and Beverages NC II 1 Hair cutting 1 Heacy vehicle driver licences 1 Health Care Services 1 Heavy Vehicle Driver licence 1 Heavy Equipment Operator 1 Heavy Vehicle Drive Licences 1 Heavy Vehicle Driver Licence 1 Heavy Vehicle Driver Licences 5 Heavy driver licences 1 Heavy vehicle driver licence 1 Heavy vehicle driver licences 33 Hotel and Restaurant Services 1 Household Certificate 2 Household Service 1 Household Service Certificate 1 Household Service Worker 1 Household Services 122 Household Services Certificate 1 Household Services Worker 1 Household certificate 1 Household driver 1 Household services 30 Housekeeping 1 Housekeeping Certificate 1 Housekeeping NC II 2 Housemaid, Household Services 1 Hyundai AB Industries Certificate 1 IT 2 ITI Welder 2 ITT Electrician 1 Industrial/Electronic Technician 1 Iti welder 1 Light vehicle driver licences 2 Mason 1 Mechanic NCII 1 Micro CAD 1 Midwifery 1 NC II 2 NC II Household services 1 NC2 Bartending 1 NC2 Household Services 3 National Certificate 2 2 Pipe Fabricator 1 Pipe Fitter 2 Piping Fabricator 1 Plumber 1 Plumber ITI 1 Plumber iti 7 Poultry, farming 1 Serving certificate 1 TESDA NC II Household Services 1 TESDA NCII Household Services 1 TESDA Welding Manpower Certificate 1 Technician 1 Tesda household keeping 1 Tesda household working certificate 1 Tiles sitter 1 Trailer Track Driver 1 Waiter Certificate 1 Welder 2 Welder ITI 1 Welder Iti 1 Welder iti 10 Welding 4 Welding Certificate, Pipe Fitter Certificate 1 accounting school diploma 1 assoc degree in cooking 1 baking 1 baking electronic service technician 1 beautician cert 1 brevetto di scuola superiore 1 building wiring 1 certificate of apprenticeship 1 certificate of professional hairdresser 1 certificate of professional nurse 1 certificato di abilitÃ come impiegato nell' amministrazione sanitaria 1 certificato di frequenza universitario 1 certificato professionale 1 certificato saldatore 1 certificazione di cuoco 1 commercial cooking 1 computer technician diploma 1 cosmetology 1 degree in mechanical engineering 1 diploma di lingue 1 diploma di orafo 1 diploma di scuola superiore 1 diploma di scuola superiore - liceo 1 diploma di scuola superiore equiparabile a liceo scientifico 1 diploma liceale 1 diploma meccanico (sembra tipo perito) 1 diploma tecnico che attesta qualifica di tornitore 1 electronics 1 fire safety training 1 firewatch man, safety certificate 1 first aid through Red Cross 1 food and beverage, housekeeping 1 food and beverages, housekeeping 1 house keeping 2 household 2 household cert tesda 1 household certificate 1 household cleaning services 1 household keeping 1 household service 1 household services 4 housekeeping 16 housekeeping food service 1 housekeeping nc II 1 housekeeping, massage therapist 1 houseworker certificate 1 ieti school it cert 1 iti Electrician 1 iti Welder 1 master degree in business admnistration 1 master degree in engineering 1 nc 2 2 pdos, housekeeping 1 piping nc2 1 professional certificate 1 reference letter from former employer 1 taylor vocational certificate 1 tesda 1 vocational school as mason 1 vocational school diploma 2 vocational school diploma as construction worker 1 welder 2 welder vocational certificate 1 welding 2 Ð¡ÐµÑ€Ñ‚Ð¸Ñ„Ð¸ÐºÐ°Ñ‚ 1 Ð¢Ð°Ð¼Ð¾Ð¶ÐµÐ½Ð½Ð¸Ðº 1 Ð°Ð²Ñ‚Ð¾Ð¼ÐµÑ…Ð°Ð½Ð¸Ðº 1 Ð°Ñ‚Ñ‚ÐµÑÑ‚Ð°Ñ‚ 1 Ð±ÑƒÑ…Ð³Ð°Ð»Ñ‚ÐµÑ€ 1 Ð²Ð¾Ð´Ð¸Ñ‚ÐµÐ»ÑŒ 3 Ð²Ð¾ÑÐ¿Ð¸Ñ‚Ð°Ñ‚ÐµÐ»ÑŒ 1 Ð´Ð¸Ð¿Ð»Ð¾Ð¼ 11 Ð´Ð¸Ð¿Ð»Ð¾Ð¼ (Ñ€Ð¾ÑÑÐ¸Ð¹ÑÐºÐ¸Ð¹) 1 Ð´Ð¾Ð¼Ñ€Ð°Ð±Ð¾Ñ‚Ð½Ð¸Ñ†Ð° 1 Ð·.Ð¾. 2 Ð·Ð½Ð°Ð½Ð¸Ðµ Ñ€ÑƒÑÑÐºÐ¾Ð³Ð¾ ÑÐ·Ñ‹ÐºÐ° 1 Ð¸Ñ‚Ð°Ð²Ð°6 1 ÐºÐ°Ð¼ÐµÐ½Ñ‰Ð¸Ðº 1 ÐºÐ»Ð°Ð´ÐºÐ° ÐºÐµÑ€Ð¿Ð¸Ñ†Ð° 1 ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑÐ½Ñ‹Ð¹ ÑÐºÐ·Ð°Ð¼ÐµÐ½ 1 ÐºÐ¾Ñ€Ð¾Ñ‡ÐºÐ° Ñ ÐºÑƒÑ€ÑÐ¾Ð² Ð¿Ð¾Ð²Ð¾Ñ€Ð° 1 Ð¼Ð°Ð»ÑÑ€ ÑˆÑ‚ÑƒÐºÐ°Ñ‚ÑƒÑ€ 2 Ñ€Ð°Ð·Ñ€ÑÐ´Ð° 1 Ð¼ÐµÐ½ÐµÐ´Ð¶ÐµÑ€ Ð¿Ð¾ Ñ‚ÑƒÑ€Ð¸Ð·Ð¼Ñƒ 1 Ð¼ÐµÑ…Ð°Ð½Ð¸Ðº 1 Ð¼Ð¾Ð½Ñ‚Ð°Ð¶Ð½Ð¸Ðº 2 Ð¼Ð¾Ð½Ñ‚Ð°Ð¶Ð½Ð¸Ðº Ð²Ñ‹ÑÐ¾Ñ‚Ð½Ñ‹Ñ… Ñ€Ð°Ð±Ð¾Ñ‚ 1 Ð¼Ð¾Ð½Ñ‚Ð°Ð¶Ð½Ð¸Ðº-Ð²Ñ‹ÑÐ¾Ñ‚Ð½Ð¸Ðº 1 Ð½Ð°Ð»Ð°Ð´Ñ‡Ð¸Ðº ÑÑ‚Ð°Ð½ÐºÐ¾Ð² 1 Ð½Ðµ Ð¿Ð¾Ð¼Ð½ÑŽ 1 Ð½Ðµ ÑƒÐºÐ°Ð·Ð°Ð½Ð¾ 1 Ð¾Ð¿ÐµÑ€Ð°Ñ‚Ð¾Ñ€-Ð½Ð°Ð»Ð°Ð´Ñ‡Ð¸Ðº 1 Ð¾Ð¿ÐµÑ€Ð°Ñ‚Ð¾Ñ€-Ð½Ð°Ð»Ð°Ð´Ñ‡Ð¸Ðº Ð¾Ð±Ð¾Ñ€ÑƒÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ 1 Ð¾Ñ„Ð¸Ñ†Ð¸Ð°Ð½Ñ‚ 1 Ð¿Ð°Ñ‚ÐµÐ½Ñ‚ 3 Ð¿Ð°Ñ€Ð¸ÐºÐ¼Ð°Ñ…ÐµÑ€ 1 Ð¿Ð°Ñ€Ð¸ÐºÐ¼Ð°Ñ…ÐµÑ€Ð° 1 Ð¿ÐµÐ´Ð°Ð³Ð¾Ð³ 1 Ð¿Ð¾Ð²Ð°Ñ€ 5 Ð¿Ð¾Ð¼Ð¾ÑˆÐ½Ð¸Ðº Ð±Ñ€Ð¸Ð³Ð°Ð´Ð¸Ñ€Ð° 1 Ð¿Ñ€Ð°Ð²Ð° 1 Ð¿Ñ€ÐµÐ¿Ð¾Ð´Ð°Ð²Ð°Ñ‚ÐµÐ»ÑŒ 1 Ð¿Ñ€Ð¾Ð´Ð°Ð²ÐµÑ† 1 Ð¿Ñ€Ð¾Ñ€Ð°Ð± 1 Ð”Ð¸Ð¿Ð»Ð¾Ð¼ Ð¡Ñ‚ÑƒÐ´Ð¸Ð¸ Ð¼Ð°Ð½Ð¸ÐºÑŽÑ€Ð° Ð›.Ð›ÐµÐ½Ð¸Ð½Ð¾Ð¹ 1 Ð”Ð¸Ð¿Ð»Ð¾Ð¼ Ð¿Ð°Ñ€Ð¸ÐºÐ¼Ð°Ñ…ÐµÑ€Ð° 1 Ð”Ð¸Ð¿Ð»Ð¾Ð¼ Ñ„ÐµÐ»ÑŒÐ´ÑˆÐµÑ€Ð° 1 ÑÐ°Ð½Ñ‚ÐµÑ…Ð½Ð¸Ðº 1 ÑÐ²Ð°Ñ€Ñ‰Ð¸Ðº 4 ÑÐ²Ð¸Ð´ÐµÑ‚ÐµÐ»ÑŒÑÑ‚Ð²Ð¾ Ð¾ ÐºÐ²Ð°Ð»Ð¸Ñ„Ð¸ÐºÐ°Ñ†Ð¸Ð¸ Ð´Ð¾Ð¼Ñ€Ð°Ð±Ð¾Ñ‚Ð½Ð¸Ñ†Ñ‹ 1 ÑÐµÑ€Ñ‚Ð¸Ñ„Ð¸ÐºÐ°Ñ‚ 10 ÑÐµÑ€Ñ‚Ð¸Ñ„Ð¸ÐºÐ°Ñ‚ Ð½Ð° 5 Ð»ÐµÑ‚ 2 ÑÐ»ÐµÑÐ°Ñ€Ð½Ñ‹Ðµ Ñ€Ð°Ð±Ð¾Ñ‚Ñ‹ 1 ÑÐ»ÐµÑÐ°Ñ€Ð½Ñ‹Ð¹ Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ 1 ÑÐ»ÐµÑÐ°Ñ€ÑŒ-ÑÐ°Ð½Ñ‚ÐµÑ…Ð½Ð¸Ðº 1 ÑÑ‚Ñ€Ð¾Ð¸Ñ‚ÐµÐ»ÑŒ 10 ÑÑ‚Ñ€Ð¾Ð¿Ð°Ð»ÑŒÑ‰Ð¸Ðº 1 ÑÐºÐ·Ð°Ð¼ÐµÐ½ Ð¿Ð¾ Ñ€ÑƒÑÑÐºÐ¾Ð¼Ñƒ ÑÐ·Ñ‹ÐºÑƒ 1 ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÐºÐ° Ð¸ ÑƒÐ¿Ñ€Ð°Ð²Ð»ÐµÐ½Ð¸Ðµ 1 ÑÐ»ÐµÐºÑ‚Ñ€Ð¸Ðº 2 ÑÐ»ÐµÐºÑ‚Ñ€Ð¾Ð³Ð°Ð·Ð°ÑÐ²Ð°Ñ€Ñ‰Ð¸Ðº 1 ÑÐ»ÐµÐºÑ‚Ñ€Ð¾Ð¼Ð¾Ð½Ñ‚Ð°Ð¶Ð½Ð¸Ðº 1 ÑŽÑ€Ð¸ÑÑ‚ 1 ÑƒÐºÐ»Ð°Ð´Ñ‡Ð¸Ðº 1 ÑˆÐ²ÐµÑ-Ð¼Ð¾Ñ‚Ð¾Ñ€Ð¸ÑÑ‚ÐºÐ° 1 ÑˆÑ‚ÑƒÐºÐ°Ñ‚ÑƒÑ€ 1 ÑˆÑ‚ÑƒÐºÐ°Ñ‚ÑƒÑ€ Ð¼Ð°Ð»ÑÑ€ 2 Ñ‚ÐµÑÑ‚ 1 Ñ‚ÐµÑÑ‚Ð¸Ñ€Ð¾Ð²Ð°Ð½Ð¸Ðµ 1 Ñ‚Ñ€ÐµÐ½ÐµÑ€ 1 SUPERVISER TRANSLATE IN ENG: skill certificate SUPERVISER TRANSLATE IN ENG: skill certificate 464 0 " Fabricator " 1 " Household Services " 1 " Serving certificate " 1 "Automotive NC II " 1 "Baking " 1 "Bread and Pastry NCII, Bartending NCII, Housekeeping NCII " 1 "Caregiving NC II " 1 "Carpentry " 1 "Cosmetology " 1 "Driver " 1 "Driver Light Vehicle " 1 "Driver Light Vehicle License " 1 "Driving License " 1 "Driving License Heavy Vehicle " 1 "Driving License, Heavy Vehicle " 1 "Driving NC II " 2 "Electrician from Industrial Training Institute " 1 "Fire safety training " 1 "Food Technology " 1 "Food and Beverage NC II " 1 "Food and Beverages " 1 "Food and Beverages NC II " 1 "Heavy Equipment Operator " 1 "Heavy Vehicle Driving License " 15 "Household Services " 8 "Household services " 1 "Housekeeping " 1 "Housekeeping " 2 "Housekeeping NC II " 3 "IT " 1 "Industrial Training Institute Certificate " 1 "Industrial Training Institute Certificate in Electrician Trade " 1 "Industrial Training Institute Certificate in Carpenter Trade " 1 "Industrial Training Institute Certificate in Electrical Trade " 2 "Industrial Training Institute Certificate in Electricial Trade " 1 "Industrial Training Institute Certificate in Electrician Trade " 1 "Industrial Training Institute Certificate in Electrician Trade " 17 "Industrial Training Institute Certificate in Plumber Trade " 5 "Industrial Training Institute Certificate in Welder Trade " 6 "Industrial Training Institute Certificate in Welding Trade " 2 "Industrial Training Institute Skill Certificate in Welding " 1 "Micro CAD " 1 "Midwifery " 1 "NC2 Bartending " 1 "NC2 Household Services " 1 "Pipe Fabricator " 1 "Pipe Fitter " 1 "SMAW NC II " 1 "Tiles setter " 1 "Welding " 2 "Welding Manpower Certificate " 1 "degree in mechanical engineering " 1 "housekeeping " 3 "housekeeping nc II " 1 "master degree in engineering " 1 Automotive NCII 1 Baking 1 Barista 1 Bartending 1 Beautician 1 Bread and Pastry 1 Caregiving 1 Commercial cooking 1 Driver Heavy Vehicle 1 Driver Heavy Vehicle License 1 Driver, Heavy Vehicle 1 Driver, Heavy Vehicle License 2 Driving 2 Driving License 3 Electrician 1 Electricity NC II 1 Electronics 1 Farming 1 First Aid Training 1 Food and Beverage 1 HSW 2 Hair cutting 1 Health care service 1 Heavy Vehicle Driving License 43 Heavy vehicle Driving License 2 Hotel and Restaurant Services 1 Houesehold serivces 1 Houeshold services 1 House Keeping II, Baiking NC II 1 House Keeping NC II 1 House keeping NC II 2 Household 1 Household Service 1 Household Services 5 Household services 8 Housekeeping 138 Housekeeping Certificate 1 Housekeeping NC II 8 Housekeeping NCII 5 Hyubdai AB Industries Certificate 1 IT 2 Industrial Institute Certificate in Welder Trade 1 Industrial Training Institute Certificate in Electrician Trade 4 Industrial Training Institute Certificate in Fitter Trade 1 Industrial Training Institute Certificate in Plumber 1 Industrial Training Institute Certificate in Plumber Trade 4 Industrial Training Institute Certificate in Welder Trade 6 Industrial Training Institute Certificate in Welding 1 Industrial Training Institute Certificate in trade, Plumber 1 Industrial Training Institute in Electrician Trade 1 Mason 1 Massage 1 Mechanic NCII 1 Piping 1 Piping Fabricator 1 Reflexology 1 Skill certificate as administrative clerk in health services 1 Technician 2 Waiter 1 Welder , Industrial Training Institute Trade Certificate 1 Welder from Industrial Training Institute 1 Welder from industrial Training Institute 1 Welding 7 Wiring installation 1 accounting school diploma 1 bachelor degree 1 bartender 1 certificate as hairdresser 1 coational school diploma as mechanic 1 computer technician diploma 1 construction 2 cooking 1 diploma as cook 1 diploma as goldsmith 1 diploma as interpreter 1 driver 2 electronics 1 fabricating certificate 1 high school diploma 4 houseghold services 1 household 9 household certificate 1 household service 5 household services 12 household sevices 1 hsw 1 nurse diploma 1 professional certificate as tailor 1 professional certificate as welder 1 professional diploma as electrician 1 professional diploma as nurse 1 safety certificate 1 vocational school diploma 1 vocational school diploma (mason) 1 vocational school diploma as lathe turner 1 vocational school diploma as mechanic 1 vocational school diploma as welder 1 welder 1 welding 1 Do you use your skill in your current job? Do you use your skill in your current job? 601 1853 0 1 0 No 93 1 Yes 508 Sysmiss 1853 Do you believe you could have found a job here which would use your skill? Do you believe you could have found a job here which would use your skill? 65 2389 0 1 -99 Don't know 0 0 No 23 1 Yes 42 Sysmiss 2389 If you had a job in %current_country% that used your skills, how much do you thi If you had a job in %current_country% that used your skills, how much do you think you can earn? 32 2422 70 60000 What would be the currency? What would be the currency? 32 2422 51 125 48 Egypt pound 0 51 Euro 9 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 7 118 Qatar riyal 0 120 Russia ruble 10 125 Saudi Arabia riyal 6 143 Tajikistan somoni 0 156 US dollar 0 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2422 What would be the unit? What would be the unit? 32 2422 1 3 1 Day 1 2 Week 0 3 Month 31 4 Year 0 Sysmiss 2422 What kind of work did you do in %current_country%? (be specific including sector What kind of work did you do in %current_country%? (be specific including sector information) 2102 'buttafuori' in un negozio di abbigliamento 1 Agricultural services, machine operator of feeder for poultry. 1 Agricultural worker 1 Agriculture 2 Agriculture. He is working in a food processing company; he is in charged with meat slicing and other related tasks. 1 All around 1 All around Household Services 1 All around Household Worker 1 All around cleaning 1 All around household worker 1 Baby sitter 1 Baker 2 Barista 4 Barista and waiter 1 Barista in a coffee shop 1 COOK in a Restaurant 1 Carpanter 1 Carpenter 58 Cleaner 1 Cleaner Lady (Household) 1 Construction 11 Cook 6 Cook and cleaning 1 Cooking 1 DOMESTIC HELPER 4 DOMGSTIC HELPER 1 Dairy maker, machine operator for checking of package and integrity (quality control) 1 Domestic Helper 87 Domestic Helper (Cooking, Babysitter and Maid 1 Domestic Helper (Nag babantay ng bata at nag lilinis ng bahay) 1 Domestic Helper - Private Driver 1 Domestic Helper/Housemaid 1 Domestic helper 1 Driver 75 Driver Heavy Vehicle Licences 1 Electician 1 Electrician 29 Elettricista 1 Elevator Installer 1 FOOD SERVER 1 Facchino 1 Factory worker 1 Family Driver 16 Family driver 1 Fitter 2 Food Crew 1 Food service 9 Food services 1 Foreman 1 Gardener 1 HOUSEHOLD 1 HOUSEHOLD SERVICES 1 HSW 29 HSW all around 1 HSW, all around DH; work includes cooking, house cleaning, laundry services 1 HSW, all around domestic helper 1 HSW, but usually work as a nanny. 1 HSW, cleaning, cooking, caretaking 1 HSW, especially house cleaning 1 HSW, service crew at Mc Do 1 House Work 1 Houseboy 2 Household 8 Household Service Worker 1 Household Services 12 Household Services Worker 2 Household Services. House cleaning, ironing of clothes, caring of kids including fetching of kids. 1 Household Worker 4 Household service worker 12 Household services 16 Household worker 1 Housekeeper 5 Housekeeping 1 Housemaid 4 Kitchen Crew 1 Kitchen assistant 1 Kitchen crew 1 Laborer 11 Laborer (construction) 1 Labour 1 Labourer 98 Laourer 2 Lavoratore agricolo 1 Line cook for Pancake House 1 Maintenance in a construction factory, works as repractor and bricks assembler 1 Mason 76 Milker 1 Mixer Driver 1 Nanny for 18 y.o kid 1 OSS operatore socio sanitario in una struttura assistenziale per anziani 1 Over all Household Services 1 Painder 1 Painter 13 Pipe Fabricator 1 Pipe Fitter 11 Pipe Fitter/Helper 1 Pipe fitter 7 Plumber 28 RIGGER 1 Receptionist in a hotel, responsible for checking in and out of guests 1 Repairman 1 Sales and services: office cleaner, coffee server 1 Sandwich Artist 1 Scaffold Repairmen 2 Service Crew 7 Service crew 3 Services 1 Sevices 1 Stagger 2 Steel Fixer 7 Steel fixer 2 Tea Boy 1 Technician/Repairman 1 WAITER 1 WAITER IN A CAFETERIA 1 WAITER in a Restaurant 1 WAITRESS 1 Waiter 9 Waiter in a restaurant & cafe 1 Waiter in the Restaurant 1 Welder 39 Yardman 1 addetto alle pulizie 1 agricoltura worker 17 agricoltural worker 16 agricultural labourer 27 agricultural worker 4 aiutante carpentiere 1 aiuto barista 1 aiuto carpentiere 1 aiuto cuoca 1 aiuto cuoco 5 aiuto cuoco e volontario bimbi all'asai 1 aiuto cuoco in un ristorante 1 aiuto cuoco, cameriere 1 aiuto custode 1 aiuto elettricista 2 aiuto fioraio in un banco al mercato 1 aiuto giardiniere 3 aiuto muratore 1 aiuto panettiere 1 all around cleaning 1 allevatore 2 apprendista elettricista 2 apprendista estetista 1 apprendista falegname 1 apprendista idraulico 1 apprendista parrucchiera 1 apprendista saldatore 1 apprendista sarto 1 apprentice baker 1 apprentice in tailor's shop 1 assistant cook 2 assistant hair saloon 1 assistant in tailor's shop 1 assistant stall saleman 1 assistente priest 1 baby sitter 1 babysitters 1 badante 2 badante (borsa lavoro) 1 badante/colf 1 baker 1 barber 1 barista 1 beautician 1 bracciante agricolo 23 bracciante agricolo (vendemmia) 1 bracciante agricolo stagionale 2 bracciante agricolo stagionale raccolta frutta 1 buttafuori in una sala giochi 1 calciatore dilettante 1 calciatore professionista 1 calciatore semi-professionista 1 cameriere e tutto fare in un ostello 1 cameriere in un ristorante 1 cameriere ristorante 1 carico e scarico merci e pulizia dei locali dell'azienda 1 carpenter 4 checker 1 cleaner 1 cleaning lady 3 clerk in photo shop 1 coffee maker 1 commesso in un negozio di materiale elettronico 1 construction worker 3 cook 5 cook assistant 1 crew mcdo 1 decorator 1 decoratore interni (rasatura muri,dtuccatura, intonaco, pittura...) 1 docker 1 domestic helper 5 domestic personnel 1 domestica a ore 1 dustman 1 elettrauto 1 elettricista 1 facchino in un albergo 1 falegname 1 family driver 2 farm (milking and raising of cows) 1 farming industry 1 ferramentista 1 freight handler (in a stall market) 1 fruit picker 7 giardiniere 1 giardiniere in un bosco 1 giardiniere non qualificato 1 guardiano di una fabbrica 1 hairdresser 2 home care assistant (caring for an elderly woman) 1 household driver 3 household service 1 household service worker 1 household services 1 household worker 1 housekeeper 2 housekeeping 1 housemaid 1 houseworker 1 hsw 39 idraulico 1 imbianchino 6 imbianchino volontario 1 juice maker 1 kitchen helper 1 labor 1 labor (fabrication of buildings) 1 laborer 2 laundry assistant 1 laundry man 1 lavapiatti 6 lavapiatti e pulizia ristorante 1 lavapiatti in ristorante 1 lavoro manutenzione aree pubbliche, cantoniere 1 line cook 1 magazziniere 7 magazziniere in un deposito di frutta nel cuneese e 1 manovale in cooperativa settore edilizia 1 masonry 1 meccanico 3 meccanico in un'officina meccanica 1 meccanico industriale 1 meccanico-fresatore 1 mechanic 4 mediatore 1 medical assistant 1 mulettista 1 muratore 2 on line advertising 1 operaio agricolo 1 operaio assemblaggio oggettistica in plastica 1 operaio chimico 1 operaio fabbrica carrozzeria 1 operaio fabbrica di cioccolato 1 operaio generico in azienda che produce lamine di metallo 1 operaio generico in industria metalmeccanica 1 operaio generico in una vetreria 1 operaio in fabbrica di lavorazione peperoni 1 operaio in una cooperativa che produce pallets 1 operatore ecologico 1 painter 2 panetteria 1 pipe fitter 3 plumber 3 pony express consegna pizza 1 pulizia parchi e boschi 5 pulizie 1 pulizie a ore in piÃ¹ case 1 pulizie notturne supermercato 1 pulizie uffici, ospedali, e tv 1 raccoglitore agricolo 1 raccolta frutta 3 raccolta frutta e verdura 1 raccolta ortaggi 1 raccolta rifiuti urbani 1 raccolta verdura 1 saldatore 2 sales assistant in a market bench 1 saltuariamente fa pulizie 1 sarto 1 scarico frutta al mercato 1 scodellatrice pasti in mensa scuola 1 security guard in supermarkets 1 service crew 2 servizio civile presso auser 1 sheperd 1 spazzino 1 spazzino volontario per comune 1 spazzino, pulizie strada e del bosco vicino al centro di accoglienza 1 street cleaner 3 street vendor 2 tirocinio come gelataio 1 training per falegname 1 venditore al mercato 1 venditore ambulante 6 venditore ambulante (aiuta un parente) 1 volantinaggio 3 volantinaggio pubblicitario 1 volontario pulizia parchi 1 waiter 6 warehouseman 2 welder 5 welder- king abdulasis medical city 1 wharehouse worker 1 wood worker 1 Ð Ð°Ð·Ð½Ð¾Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ 3 Ð¡Ð²Ð°Ñ€Ñ‰Ð¸Ðº 1 Ð¡Ð²Ð°Ñ€Ñ‰Ð¸Ðº Ð½Ð° ÑÑ‚Ñ€Ð¾Ð¹ÐºÐµ 1 Ð¡Ð»ÐµÑÐ°Ñ€ÑŒ 1 Ð¡Ñ‚Ñ€Ð¾Ð¸Ñ‚ÐµÐ»ÑŒ 2 Ð¡Ñ‚Ñ€Ð¾Ð¸Ñ‚ÐµÐ»ÑŒ Ð¿Ð»Ð¸Ñ‚Ð¾Ñ‡Ð½Ð¸Ðº 1 Ð£Ð±Ð¾Ñ€Ñ‰Ð¸Ñ†Ð° 2 Ð£Ñ‡Ñ‘Ð±Ð° Ð² Ð¸Ð½ÑÑ‚Ð¸Ñ‚ÑƒÑ‚Ðµ Ð¸ Ñ€Ð°Ð±Ð¾Ñ‚Ð° Ð¿Ð¾Ð´Ð¾Ð±Ð½Ñ‹Ð¼ Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¼ 1 Ð°Ð²Ñ‚Ð¾Ð¼Ð°Ð»ÑÑ€-ÑƒÐ½Ð¸Ð²ÐµÑ€ÑÐ°Ð»ÑŒÐ½Ñ‹Ð¹ Ð¼Ð°ÑÑ‚ÐµÑ€ 1 Ð°Ð²Ñ‚Ð¾Ð¼ÐµÑ…Ð°Ð½Ð¸Ðº 2 Ð°Ð²Ñ‚Ð¾Ð¼Ð¾Ð¹Ñ‰Ð¸Ðº 1 Ð°Ð²Ñ‚Ð¾Ð¼Ð¾Ð¹Ñ‰Ð¸Ðº (Ð¼Ð¾ÑŽ Ð¼Ð°ÑˆÐ¸Ð½Ñ‹ Ð½Ð° Ð°Ð²Ñ‚Ð¾Ð¼Ð¾Ð¹ÐºÐµ) 1 Ð°Ð²Ñ‚Ð¾ÑÐ»ÐµÑÐ°Ñ€ÑŒ 1 Ð°Ð²Ñ‚Ð¾ÑÐ»ÐµÑÐ°Ñ€ÑŒ- ÑˆÐ¸Ð½Ð¾Ð¼Ð¾Ð½Ñ‚Ð°Ð¶ 2 Ð°Ð³ÐµÐ½Ñ‚ 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Ð¾Ð±Ð¾Ð¸ ÐºÐ»ÐµÐ¸Ñ‚ÑŒ 1 Ñ€ÐµÐ¼Ð¾Ð½Ñ‚ ÑÐ»ÐµÐºÑ‚Ñ€Ð¾Ð¾Ð±Ð¾Ñ€ÑƒÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ 2 Ñ€Ð¸ÑÐ»Ñ‚Ð¾Ñ€ Ð² Ð°Ð³ÐµÐ½Ñ‚ÑÑ‚Ð²Ðµ Ð½ÐµÐ´Ð²Ð¸Ð¶Ð¸Ð¼Ð¾ÑÑ‚Ð¸ 1 SUPERVISER TRANSLATE IN ENG: work SUPERVISER TRANSLATE IN ENG: work 1530 0 Agri laborer 1 Agricultural labourer/fruit picker 1 Agricultural workers 1 Assistant cook 1 Baby sitter 2 Baker 2 Barber 1 Barista 5 Barista and waiter 1 Beautician 1 Bekary 2 Car Wash 4 Car wash 2 Carpenter 63 Checker 1 Cleaner 8 Clinear 1 Concierge 2 Construction 5 Construction Labour 3 Construction laborer 1 Construction worker 1 Cook 8 Dairy maker 1 Domestic Work 1 Domestic Worker 10 Domestic worker 7 Domestic worker and Babysitter 1 Driver 72 Driver (Light Vehicle) 1 Driver, Heavy Vehicle 2 Driver, Heavy Vehicles 2 Driving 1 Electricain 1 Electrician 33 Electricion 1 Elevator Installer 1 Factory Labour 1 Factory Worker 8 Factory worker (producing tyres) 1 Family Driver 11 Family driver 2 Farm worker 1 Fitter 3 Food Crew 1 Foreman 1 Furniture 1 Garden Boy 1 Gardener 1 Globe Company Labour 1 HSW 221 Havy Driver 1 Helper 25 Helper , Construction 1 Helper in Construction Site 75 Helper in Construction site 5 Houseboy 2 Installation Technician 2 Juice maker 1 Kitchen Crew 1 Kitchen Worker 1 Kitchen helper 1 Laborer 6 Labour 22 Labour Worker 1 Labourer 1 Line Cook 1 Line cook 1 Made Agarbatti 1 Made Sofaset 1 Maintenance Worker 1 Marble fixer 1 Mason 76 Masonry 1 Mechanics 1 Metal Door Fixer 1 Milker 1 Office cleaner 1 Operator 1 Painter 17 Painting 1 Peaking 1 Pipe Fabricator 1 Pipe Fitter 9 Pipe Fitter/Helper 1 Pipe fitter 9 Plaster 2 Plaster (meshan) 1 Plumber 32 Private Driver 1 Private driver 3 Product Parking 1 Production Operater 1 Receptionist 1 Repairman 1 Sandwich Artist 1 Scaffold Repairmen 2 Secretary 1 Security Gard 1 Service 2 Service Crew 7 Service crew 6 Service waiter 1 Service worker 5 Skafolder 2 Skafolding Helper 1 Stagger 2 Steel Fixer 6 Steel fixer 1 Taxi driver 1 Technician 1 Umbrella Making Labour 1 Waiter 15 Waitress 1 Welder 42 Worker 9 Worker in Petrol pump 1 Yardman 1 agrcultural labourer 1 agricoltural worker 1 agricultural labour 1 agricultural labourer 21 agricultural labourer (2 weeks) 1 agricultural worker 1 agricultural works 1 agriculture 2 airways Qatar cleaner I 1 almunium 1 almunium helper 1 aluminium glass technician 1 aluminium helper 1 aluminium labour 1 apprentice baker 1 apprentice bar tender 1 apprentice beautician 1 apprentice carpenter 4 apprentice electrician 3 apprentice hairdresser 1 apprentice in tailor's shop 1 apprentice plumber 1 apprentice tailor 1 apprentice welder 1 assistant hair saloon 1 assistant priest 1 auto-electrician 1 baby sitter 1 baker 2 bar tender 1 barber 1 bouncer in a game room 1 building cleaner 1 building construction 2 building worker labour 1 candle packing 1 car mechanic 5 car mechanic (apprentice) 1 carpenter 6 cleaner 13 cleaner in a supermarket 1 cleaning 3 cleaning lady 1 clerk in photo shop 1 consrtruction 1 construction 21 construction labourer 4 construction worker 4 cook 4 cook assistant 4 cook assistant/waiter 1 cook help in a restaurant 1 cook helper 2 cooking 1 cultural mediator 1 decoration plant 1 decorator 1 dish washer 5 dishwasher 2 dishwasher / cleaner in a restaurant 1 docker 1 domestic cleaner 1 domestic cleaner (on an occasional basis) 1 domestic helper 2 domestic helper (for elderly people, with a charity association) 1 domestic helper on an hourly basis 1 domestic worker (cleaner) 1 download and upload labour 1 driver 5 driving 3 driving truck 1 electrician 4 electrician (apprentice) 1 factory labour 1 factory work 2 factory worker 78 factory worker juice making 1 factory workers 2 family driver 1 fitters 1 football player 2 forestry labourer 6 forestry labourer (voluntary work, unpaid) 2 freight handler 1 freight handler in a stall market 1 freight handler in a street market 1 freight handler in a warehouse (voluntary work, unpaid) 1 freight handler in an hotel 1 freight handler, cleaner 1 fruit picker 69 fruit picker, agricultural labourer 1 garden labourer 3 garden labourer (as a volunteer for the municipality hosting him) 1 gardener (apprentice) 1 general worker 4 gibson 1 glass factory worker 1 gloves making 3 hairdresser 2 handyman in a youth hostel 1 helper 3 helper in Construction Site 3 helper restaurant 1 helper/labourer in a parish oratory 1 hospital house keeping 3 hotel cleaning 1 hotel labour 1 hotel labourer 2 house cleaner 2 house helper 1 house painter 7 house painter/construction laborer 1 hsw 22 ice cream maker (apprentice) 1 kitchen helper 5 kitchen helper in a school canteen 1 labour 40 labourer 2 labourer (apprentice) in a plant producing automotive components 1 labourer (different manual jobs such as construction worker, cleaner, freight handler etc.) 1 labourer in a plant assembling plastic components 1 labourer in a plant producing fuel pellets 1 labourer in public gardens and parks 1 labourer, in a plant producing glass 1 labout 1 laundry assistant 1 laundry man 1 leaflet deliverer 2 leaflet distributor 2 livestock farm labourer 2 machine operator in a chemical plant 1 machine operator, plant producing chocolate products 1 maintenance personnel 1 mason 5 meat slicing and other related tasks. 1 mechanic (apprentice) 2 mechanic worker in a factory 1 mechanic/milling machines operator 1 metal door fixer 1 metalworker 1 metalworker (apprentice) 1 mixer driver 1 nursing aide, residential care for elderly 1 office cleaner 1 on line advertising 1 packing 3 painter 2 painting 2 party palace 2 personal care worker 2 pickler in an agro-industrial factory 1 pizza delivery man 1 plant decoration 1 plastic company 1 plumber 2 plumbing 1 poly fibre 1 poly glass factory 1 private security guard in a wearing apparel store 1 professional nurse (in domiciliary services) 1 restaurant 1 restaurant cook 2 restaurant crew 1 restaurant teaboy 1 restaurant work 1 saleperson in a stall market 1 sales assistant in a market stall 1 sales assistant in a market stall selling plants & flowers 1 salesman 1 scaff folder 2 scaffolder 1 seasonal agricultural labourer 1 seasonal fruit picker 2 security 3 security guard 5 security guard in a factory 1 security guards 1 service crew 3 service worker 4 services 2 shepherd 1 shopkeeper assistant (sales of electrical equipment) 1 steel worker 1 street cleaner 6 street cleaner (voluntary work) 1 street vendor 6 tailor 1 tailor apprentice 1 truck driver 1 waiter 5 waiter in a restaurant 2 waiter in hotel 1 warehouse worker 4 warehouse worker (for a charity organisation - voluntary work) 1 warehouse worker (freight handler) 1 warehouse worker in a fruit farm (freight-handler) 1 warehouse worker, forklift driver 1 warehouse workers 1 warehouseman 2 warker 1 waste collector 1 watchman in a supermarket 1 welder 4 welding 1 wielder 1 wood worker 1 worker in glove factory 1 workman in a plant producing metal foils 1 ISCO Classification 1 ISCO Classification 1 1242 1212 2 9 1 Managers 0 2 Professionals 8 3 Technicians and associate professionals 4 4 Clerical support workers 0 5 Service and sales workers 126 6 Skilled agricultural, forestry and fishery workers 11 7 Craft and related trades workers 365 8 Plant and machine operators, and assemblers 86 9 Elementary occupations 642 10 Armed forces occupations 0 Sysmiss 1212 What was your employment type? What was your employment type? 2102 352 1 88 1 Employed by a firm 1322 2 Employed by a household 362 3 Self-employed 132 4 Day laborer 155 88 Others 131 Sysmiss 352 Did you have a labor contract for the current job? Did you have a labor contract for the current job? 1484 970 0 1 0 No 465 1 Yes 1019 Sysmiss 970 Did your employer supply migrant workers to other employers? Did your employer supply migrant workers to other employers? 1965 489 0 1 0 No 1676 1 Yes 289 Sysmiss 489 Did you change your job in %current_country%? Did you change your job in %current_country%? 2102 352 0 1 0 No 1876 1 Yes 226 Sysmiss 352 What was your first job in %current_country%? What was your first job in %current_country%? 226 0 -99 3 Caregiver 1 Food server 1 Household Service Worker 2 Household Services 1 Housekeeper 1 Pipe Fitter 1 Pipe Fitter but different company 1 Stagger 1 Technician/Repairman 1 agricoltore 1 agricoltural worker 1 aiutante per ambulante 1 aiuto cuoco 2 aiuto manovale in edilizia 1 aiutocuoco 1 assistant cook 1 baby sitter 1 bracciante agricolo 1 bracciante agricolo in altra regione 1 cameriera in un bar 1 cameriere 1 construction worker 1 cook 1 dishwasher 1 domestica a ore ma presso altra famiglia 1 domestica a ore presso una famiglia 1 factory worker 2 farming division 1 food machine operator (machines producing ice cream): assembler 1 harvesting olives 1 household cook 1 hsw 1 idraulico 2 istruttore percussionista 1 labor 1 lavapiatti 4 magazzieniere al supermercato 1 magazziniere 2 mason to locksmith 1 meccanico e verniciatore automobili 1 mechanical turner 1 montaggio ponteggi 1 muratore 2 painter 1 piastrellista 1 pipe fitter helper 1 pulizia case 1 pulizie 1 pulizie a ore in famiglia 1 raccolta frutta 2 sales worker in a supermarket (mostly doing cleaning and other operational work) 1 sex worker 3 steel fixer 1 street vendor 2 venditore ambulante 2 volantinaggio 2 volantinaggio pubblicitario palazzo per palazzo 1 volontariato operatore ecologico 1 worker in a plant producing packing material 1 x5 Ð§Ð¸ÑÑ‚Ð°Ñ Ð»Ð¸Ð½Ð¸Ñ 1 Ð°Ð´Ð¼Ð¸Ð½Ð¸ÑÑ‚Ñ€Ð°Ñ‚Ð¾Ñ€ 1 Ð°Ñ€Ð¼Ð°Ñ‚ÑƒÑ€Ñ‰Ð¸Ðº 1 Ð±Ð°Ñ€Ð¼ÐµÐ½ 1 Ð±ÑƒÑ…Ð³Ð°Ð»Ñ‚ÐµÑ€Ð¸Ñ ÐŸÐ¾Ñ‡Ñ‚Ð° Ð Ð¾ÑÑÐ¸Ð¸ 1 Ð² Ð¾Ñ‚ÐµÐ»Ðµ ÑƒÐ±Ð¾Ñ€ÐºÐ¾Ð¹ Ð·Ð°Ð½Ð¸Ð¼Ð°Ð»Ð°ÑÑ 1 Ð² Ð¿Ñ€Ð¾Ð´ÑƒÐºÑ‚Ð¾Ð²Ð¾Ð¼ Ð¼Ð°Ð³Ð°Ð·Ð¸Ð½Ðµ Ð¿Ñ€Ð¾Ð´Ð°Ð²ÐµÑ† 1 Ð²Ð¾Ð´Ð¸Ñ‚ÐµÐ»ÑŒ 2 Ð²Ð¾ÑÐ¿Ð¸Ñ‚Ð°Ñ‚ÐµÐ»ÑŒ Ð² Ð´ÐµÑ‚ÑÐºÐ¾Ð¼ ÑÐ°Ð´Ñƒ 1 Ð³Ñ€ÑƒÐ·Ñ‡Ð¸Ðº 11 Ð³Ñ€ÑƒÐ·Ñ‡Ð¸Ðº Ð² Ð´Ñ€ÑƒÐ³Ð¾Ð¼ Ð¼Ð°Ð³Ð°Ð·Ð¸Ð½Ðµ 3 Ð³Ñ€ÑƒÐ·Ñ‡Ð¸Ðº Ð² ÑÐ°Ð¼Ð°Ñ€Ðµ 1 Ð³Ñ€ÑƒÐ·Ñ‡Ð¸Ðº Ð½Ð° ÑÐºÐ»Ð°Ð´Ðµ 1 Ð´Ð²Ð¾Ñ€Ð½Ð¸Ðº 8 Ð´Ð¾Ð¼Ñ€Ð°Ð±Ð¾Ñ‚Ð½Ð¸Ñ†Ð° 1 Ð´Ð¾Ñ€Ð¾Ð¶Ð½Ñ‹Ð¹ Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹, Ð½Ð¾ Ð² Ð´Ñ€ÑƒÐ³Ð¾Ð¹ ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ð¸ 1 Ð´Ñ€ÑƒÐ³Ð°Ñ ÑÑ‚Ñ€Ð¾Ð¹ÐºÐ° 1 Ð·Ð°Ð². ÑÐºÐ»Ð°Ð´Ð¾Ð¼ 1 ÐºÐ°Ð¼ÐµÐ½Ñ‰Ð¸Ðº 1 ÐºÐ°Ð¼ÐµÐ½Ñ‰Ð¸Ðº Ð½Ð° ÑÑ‚Ñ€Ð¾Ð¹ÐºÐµ 1 ÐºÐ°ÑÑÐ¸Ñ€ 2 ÐºÐ°Ñ€Ñ‰Ð¸Ðº 1 ÐºÐ»ÑŽÑ‡Ð½Ð¸Ðº Ð² Ð–ÐšÐ¥ 1 ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑ‚Ð¾Ð²Ñ‰Ð¸Ðº Ð² Ð´Ñ€ÑƒÐ³Ð¾Ð¹ Ñ„Ð¸Ñ€Ð¼Ðµ 1 ÐºÐ¾Ð¿Ð°Ð» Ñ‚Ñ€Ð°Ð½ÑˆÐµÐ¸ Ð´Ð»Ñ ÐºÐ°Ð±ÐµÐ»ÐµÐ¹ 1 ÐºÑƒÑ€ÑŒÐµÑ€ 3 Ð¼Ð°Ð»ÑÑ€, Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ 1 Ð¼Ð°ÑÑ‚ÐµÑ€ Ð¿Ð¾ Ñ€ÐµÐ¼Ð¾Ð½Ñ‚Ñƒ Ð¾Ð´ÐµÐ¶Ð´Ñ‹ 1 Ð¼ÐµÑ…Ð°Ð½Ð¸Ðº 1 Ð¼Ð¾Ð¹Ñ‰Ð¸Ðº Ð¾ÐºÐ¾Ð½ 1 Ð¼Ð¾Ð½Ñ‚Ð°Ð¶Ð½Ð¸Ðº ÑÑ‚Ð°Ð»ÑŒÐ½Ñ‹Ñ… Ð´Ð²ÐµÑ€ÐµÐ¹ 1 Ð½Ð° ÑÑ‚Ñ€Ð¾Ð¹ÐºÐµ 3 Ð½Ð° ÑÑ‚Ñ€Ð¾Ð¹ÐºÐµ Ð² 2010 1 Ð½Ð° ÑÑ‚Ñ€Ð¾Ð¹ÐºÐµ Ð¼Ð°Ð»ÑÑ€ 1 Ð½Ð° ÑÑ‚Ñ€Ð¾Ð¹ÐºÐµ, Ð¿Ð¾Ð´ÑÐ¾Ð±Ð½Ñ‹Ð¹ Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ 1 Ð¾Ð±Ñ‰ÐµÐ¿Ð¸Ñ‚-Ð¿Ð¾Ð²Ð°Ñ€ 1 Ð¾Ñ„Ð¸Ñ-Ð¼ÐµÐ½ÐµÐ´Ð¶ÐµÑ€ 1 Ð¾Ñ„Ð¸Ñ†Ð¸Ð°Ð½Ñ‚ÐºÐ° 2 Ð¾Ñ…Ñ€Ð°Ð½Ð° 1 Ð¿Ð°Ñ€Ð¸ÐºÐ¼Ð°Ñ…ÐµÑ€ 1 Ð¿Ð°Ñ€Ð¸ÐºÐ¼Ð°Ñ…ÐµÑ€ ÑƒÐ½Ð¸Ð²ÐµÑ€ÑÐ°Ð» 1 Ð¿ÐµÐºÐ»Ð° Ð»ÐµÐ¿ÐµÑˆÐºÐ¸ Ð½Ð° ÐºÐ²Ð°Ñ€Ñ‚Ð¸Ñ€Ðµ 1 Ð¿Ð»Ð¾Ñ‚Ð½Ð¸Ðº 2 Ð¿Ð¾Ð²Ð°Ñ€ 2 Ð¿Ð¾Ð²Ð°Ñ€ Ð² Ð§Ð°Ð¹Ð½Ð¾Ð¹ Ð»Ð¾Ð¶ÐºÐµ, Ð¿Ð¾Ñ‚Ð¾Ð¼ ÐºÐ°ÑÑÐ¸Ñ€ 1 Ð¿Ð¾Ð´ÑÐ¾Ð±Ð½Ñ‹Ð¹ Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ 9 Ð¿Ð¾Ð´ÑÐ¾Ð±Ð½Ñ‹Ð¹ Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ Ð² Ð¿Ð¾Ñ€Ñ‚Ñƒ 1 Ð¿Ð¾Ð´ÑÐ¾Ð±Ð½Ñ‹Ð¹ Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ Ð½Ð° ÑÑ‚Ñ€Ð¾Ð¹ÐºÐµ 2 Ð¿Ð¾Ð´ÑÐ¾Ð±Ð½Ñ‹Ð¹ Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ Ð½Ð° Ñ€Ñ‹Ð½ÐºÐµ 1 Ð¿Ð¾Ð¼Ð¾ÑˆÐ½Ð¸Ðº Ð¿Ð¾Ð²Ð°Ñ€Ð° 1 Ð¿Ð¾Ð¼Ð¾Ñ‰Ð½Ð¸Ðº Ð¿Ð¾Ð²Ð°Ñ€Ð° 1 Ð¿Ð¾Ð¼Ð¾Ñ‰Ð½Ð¸Ðº ÑÑ‚Ñ€Ð¾Ð¸Ñ‚ÐµÐ»Ñ 1 Ð¿Ð¾Ð¼Ñ‰Ð½Ð¸Ðº Ñ€Ð°Ð·Ð½Ð¾Ñ€Ð°Ð±Ð¾Ñ‡ÐµÐ³Ð¾ 1 Ð¿Ð¾Ñ€Ñ‚Ð½Ð¸Ñ…Ð° 1 Ð¿Ñ€ÐµÐ¿Ð¾Ð´Ð°Ð²Ð°Ñ‚ÐµÐ»ÑŒ Ð¼Ð°Ñ‚ÐµÐ¼Ð°Ñ‚Ð¸ÐºÐ¸ Ð¸ ÑÐ·Ñ‹ÐºÐ° 1 Ð¿Ñ€Ð¾Ð´Ð°Ð²ÐµÑ† 6 Ð¿Ñ€Ð¾Ð´Ð°Ð²ÐµÑ† Ð² Ð´Ñ€ÑƒÐ³Ð¾Ð¼ Ð¼Ð°Ð³Ð°Ð·Ð¸Ð½Ðµ 1 ÐœÐ¾Ð½Ñ‚Ð°Ð¶Ð½Ð¸Ðº 1 Ð˜Ð·Ð³Ð¾Ñ‚Ð¾Ð²Ð»ÐµÐ½Ð¸Ðµ Ñ‚Ð¾Ñ€Ñ‚Ð¾Ð² Ð² Ð¿ÐµÐºÐ°Ñ€Ð½Ðµ 1 Ð”Ð²Ð¾Ñ€Ð½Ð¸Ðº 1 ÑÐ°Ð´Ð¾Ð²Ð½Ð¸Ðº 1 ÑÐ°Ð¼ Ð½Ð° ÑÑ‚Ñ€Ð¾Ð¹ÐºÐµ Ñ€Ð°Ð±Ð¾Ñ‚Ð°Ð», ÑÑ‚Ñ€Ð¾Ð¸Ñ‚ÐµÐ»ÑŒ 1 ÑÐ°Ð½Ñ‚ÐµÑ…Ð½Ð¸Ðº 1 ÑÐ²Ð°Ñ€Ñ‰Ð¸Ðº 1 ÑÐºÐ»Ð°Ð´ Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ 1 ÑÑ‚Ñ€Ð¾Ð¸Ñ‚ÐµÐ»ÑŒ 7 ÑÑ‚Ñ€Ð¾Ð¸Ñ‚ÐµÐ»ÑŒ ÐºÐ°Ð¼ÐµÐ½Ñ‰Ð¸Ðº Ð² Ð¿ÐµÑ€Ð¼ÑÐºÐ¾Ð¼ ÐºÑ€Ð°Ðµ 1 ÑÑ‚Ñ€Ð¾Ð¸Ñ‚ÐµÐ»ÑŒ Ð½Ð° ÑÑ‚Ñ€Ð¾Ð¹ÐºÐµ 1 ÑÑ‚Ñ€Ð¾Ð¸Ñ‚ÐµÐ»ÑŒ, ÐºÐ°Ð¼ÐµÐ½Ñ‰Ð¸Ðº 1 ÑÑ‚Ñ€Ð¾Ð¸Ñ‚ÐµÐ»ÑŒÐ½Ñ‹Ð¹ Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ 1 ÑÑ‚Ñ€Ð¾Ð¹ÐºÐ° 2 ÑƒÐ±Ð¾Ñ€Ñ‰Ð¸Ðº 3 ÑƒÐ±Ð¾Ñ€Ñ‰Ð¸ÐºÐ¾Ð¼ Ð² Ð´Ñ€ÑƒÐ³Ð¾Ð¹ Ð¾Ñ€Ð³Ð°Ð½Ð¸Ð·Ð°Ñ†Ð¸Ð¸ 1 ÑƒÐ±Ð¾Ñ€Ñ‰Ð¸Ñ†Ð° 4 ÑƒÐ±Ð¾Ñ€Ñ‰Ð¸Ñ†Ð° Ð² Ñ‡ÐµÐ»ÑÐ±Ð¸Ð½ÑÐºÐµ 1 ÑˆÐ°ÑƒÑ€Ð¼Ð° 1 ÑˆÐ¾ÐºÐ¾Ð»Ð°Ð´Ð½Ð°Ñ Ñ„Ð°Ð±Ñ€Ð¸ÐºÐ° 1 ÑˆÑ‚ÑƒÐºÐ°Ñ‚ÑƒÑ€ 1 ÑˆÑ‚ÑƒÐºÐ°Ñ‚ÑƒÑ€,Ð¼Ð°Ð»ÑÑ€ 1 Ñ‚Ð°ÐºÐ°Ñ Ð¶Ðµ-Ð¿Ð¾Ð´ÑÐ¾Ð±Ð½Ñ‹Ð¹ Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ 1 Ñ„Ð°ÑÐ¾Ð²Ñ‰Ð¸Ñ†Ð° Ð² Ð¼Ð°Ð³Ð°Ð·Ð¸Ð½Ðµ ÐºÐ¾Ð½Ð´Ð¸Ñ‚ÐµÑ€ÑÐºÐ¾Ð¼ 1 Ñ„Ð°ÑÑ‚Ñ„ÑƒÐ´ 1 Ñ€Ð°Ð±Ð¾Ñ‚Ð½Ð¸Ðº Ñ‚Ð¾Ñ€Ð³Ð¾Ð²Ð¾Ð³Ð¾ Ð·Ð°Ð»Ð°,Ð³Ñ€ÑƒÐ·Ñ‡Ð¸Ðº 1 Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ 3 Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ Ð½Ð° ÐºÐ¾Ð½ÑÐµÑ€Ð²Ð½Ð¾Ð¼ Ð·Ð°Ð²Ð¾Ð´Ðµ 1 Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ Ð½Ð° ÑÑ‚Ñ€Ð¾Ð¸Ñ‚ÐµÐ»ÑŒÑÑ‚Ð²Ðµ Ð´Ð¾Ñ€Ð¾Ð³ 1 Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ Ð½Ð° ÑÑ‚Ñ€Ð¾Ð¹ÐºÐµ 1 Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ Ð½Ð° Ñ„Ð°Ð±Ñ€Ð¸ÐºÐµ 1 Ñ€Ð°Ð·Ð½Ð¾Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ 2 Ñ€Ð°Ð·Ð½Ð¾Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ Ð½Ð° ÑÑ‚Ñ€Ð¾Ð¹ÐºÐµ 1 Ñ€Ð°Ð·Ð½Ð¾Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹ Ð½Ð° ÑÑ‚Ñ€Ð¾Ð¹ÐºÐµ, Ð¿Ð¾Ñ‚Ð¾Ð¼ Ñ€Ð°Ð±Ð¾Ñ‚Ð°Ð» Ð² Ñ€ÐµÑÑ‚Ð¾Ñ€Ð°Ð½Ðµ 1 Ñ€Ð°Ð·Ð½Ð¾Ñ€Ð°Ð±Ð¾Ñ‡Ð¸Ð¹, Ð¿Ð»Ð¾Ñ‚Ð½Ð¸Ðº Ð½Ð° ÑÑ‚Ñ€Ð¾Ð¸Ñ‚ÐµÐ»ÑŒÑÑ‚Ð²Ðµ 1 SUPERVISER TRANSLATE IN ENG: first work SUPERVISER TRANSLATE IN ENG: first work 68 0 Assistant cook 1 Cook 2 DOmestic worker 1 Domestic worker 2 HSW 2 Olive picker 1 Pipe Fitter but different company 1 Pipe fitter helper 1 Service worker 1 Stagger 1 Steel fixer 1 Technician/Repairman 1 agricultural labourer 3 agricultural labourer (in another region) 1 agriculture 1 baby sitter 1 caregiver 1 cleaner 1 construction 2 construction labourer 1 construction worker 3 cook assistant 2 dish washer 2 dishwasher 2 domestic cleaner 1 domestic cleaner, for a different family 1 domestic helper 1 factory worker 1 food machine operator (machines producing ice cream): assembler 1 fruit picker 2 hand dishwasher 1 house cleaner 1 house painter 1 kitchen helper 1 leaflet distributor 3 mason to locksmith 1 mechanic and car spray painter 1 plumber 1 sales worker in a supermarket (mostly doing cleaning and other operational work) 1 scaffolder 1 sex worker 1 street cleaner 1 street vendor 5 teacher in african drums courses 1 tiler 1 waiter 1 waitress 1 warehouse worker 1 warehouseman 1 warehouseman in a supermarket 1 Did your employer arrange for your visa and work permit? Did your employer arrange for your visa and work permit? 1140 1314 0 1 0 No 143 1 Yes 997 Sysmiss 1314 Did you sign a contract before departing for this job? Did you sign a contract before departing for this job? 1140 1314 0 1 0 No 251 1 Yes 889 Sysmiss 1314 Are you working under the same contract that you received before departure? Are you working under the same contract that you received before departure? 865 1589 0 1 0 No 32 1 Yes 833 Sysmiss 1589 Was your job the same one as promised before you left %home_country%? Was your job the same one as promised before you left %home_country%? 1140 1314 0 1 0 No 68 1 Yes 1072 Sysmiss 1314 What wage were you promised for your job in %current_country% before departure ? What wage were you promised for your job in %current_country% before departure ? 1123 1331 0 70000 2016 constant USD equivalent of amount_promised 1120 1334 0 4595.971 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What was the currency? What was the currency? 1127 1327 51 165 48 Egypt pound 0 51 Euro 12 68 India rupee 11 69 Indonesia rupiah 0 80 Kyrgyzstan som 1 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 21 118 Qatar riyal 0 120 Russia ruble 224 125 Saudi Arabia riyal 803 143 Tajikistan somoni 0 156 US dollar 54 158 Uzbekistan som 0 165 Other 1 166 West Africa CFA Franc 0 Sysmiss 1327 What was the unit? What was the unit? 1127 1327 1 4 1 Day 6 2 Week 0 3 Month 1120 4 Year 1 Sysmiss 1327 During the first year in %current_country%, how much did you actually earn on av During the first year in %current_country%, how much did you actually earn on average, including overtime payments, before any deductions? 1991 463 0 180000 2016 constant USD equivalent of amount_current 1987 467 0 5824.876 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What is the currency? What is the currency? 1906 548 51 165 48 Egypt pound 0 51 Euro 191 68 India rupee 4 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 23 118 Qatar riyal 1 120 Russia ruble 815 125 Saudi Arabia riyal 853 143 Tajikistan somoni 0 156 US dollar 18 158 Uzbekistan som 0 165 Other 1 166 West Africa CFA Franc 0 Sysmiss 548 What is the unit? What is the unit? 1906 548 1 4 1 Day 139 2 Week 21 3 Month 1736 4 Year 10 Sysmiss 548 How much was your last earnings, on average, after tax/ social security/ food/ h During the first year, how much were your actual earnings, on average, after tax/ social security/ food/ housing deductions (don't include deductions related to recruitment costs)? 1989 465 0 150000 2016 constant USD equivalent of amount_deducted 1986 468 0 12200 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What is the currency? What is the currency? 1899 555 51 165 48 Egypt pound 0 51 Euro 190 68 India rupee 3 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 16 118 Qatar riyal 0 120 Russia ruble 815 125 Saudi Arabia riyal 855 143 Tajikistan somoni 1 156 US dollar 18 158 Uzbekistan som 0 165 Other 1 166 West Africa CFA Franc 0 Sysmiss 555 What is the unit? What is the unit? 1899 555 1 4 1 Day 135 2 Week 19 3 Month 1733 4 Year 12 Sysmiss 555 How much was your last earnings, on average, including overtime payments and bef How much was your last earnings, on average, including overtime payments and before any tax deductions? 2061 393 0 230000 2016 constant USD equivalent of amount_current2 2059 395 0 30000 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What is the currency? What is the currency? 2007 447 51 165 48 Egypt pound 0 51 Euro 258 68 India rupee 4 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 19 118 Qatar riyal 0 120 Russia ruble 854 125 Saudi Arabia riyal 851 143 Tajikistan somoni 1 156 US dollar 17 158 Uzbekistan som 2 165 Other 1 166 West Africa CFA Franc 0 Sysmiss 447 During the first year, how much were your actual earnings, on average, after tax How much was your last earnings, on average, after tax/ social security/ food/ housing deductions (don't include deductions related to recruitment costs)? 2050 404 0 400000 2016 constant USD equivalent of amount_deducted2 2045 409 0 5965.169 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What is the currency? What is the currency? 2000 454 51 165 48 Egypt pound 0 51 Euro 255 68 India rupee 5 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 21 118 Qatar riyal 0 120 Russia ruble 849 125 Saudi Arabia riyal 853 143 Tajikistan somoni 0 156 US dollar 15 158 Uzbekistan som 1 165 Other 1 166 West Africa CFA Franc 0 Sysmiss 454 What is the unit? What is the unit? 2003 451 1 4 1 Day 176 2 Week 18 3 Month 1806 4 Year 3 Sysmiss 451 What is the unit? What is the unit? 2007 447 1 4 1 Day 176 2 Week 18 3 Month 1810 4 Year 3 Sysmiss 447 Were you paid regularly? Were you paid regularly? 2097 357 0 1 0 No 197 1 Yes 1900 Sysmiss 357 During last year, how much money, on average, were you able to send home to your During last year, how much money, on average, were you able to send home to your family? 2063 391 0 420000 2016 constant USD equivalent of amount_sent 2060 394 0 120000 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. What has been the currency? What has been the currency? 1687 767 51 166 48 Egypt pound 0 51 Euro 115 68 India rupee 4 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 237 118 Qatar riyal 0 120 Russia ruble 512 125 Saudi Arabia riyal 636 143 Tajikistan somoni 1 156 US dollar 180 158 Uzbekistan som 0 165 Other 1 166 West Africa CFA Franc 1 Sysmiss 767 What has been the unit? What has been the unit? 1686 768 1 88 1 Month 1104 2 Year 471 88 Other 111 Sysmiss 768 Please specify Other Unit Please specify Other Unit 111 0 "once remitted only for 3 months stay " 1 0,5Ð¼ÐµÑ 1 1,5Ð¼ÐµÑÑÑ†Ð° 1 10 months 1 10Ð¼ÐµÑÑÑ†ÐµÐ² 6 18Ð¼ÐµÑ 2 1Ñ€Ð°Ð·Ð·Ð°7Ð¼ÐµÑÑÑ†ÐµÐ² 1 2Ð¼ÐµÑ 2 2Ð¼ÐµÑÑÑ†Ð° 8 2Ð½ÐµÐ´ÐµÐ»Ð¸ 1 3 Month 1 30Ð¼ÐµÑÑÑ†ÐµÐ² 1 3Ð¼ÐµÑ 5 3Ð¼ÐµÑÑÑ†Ð° 10 4Ð¼Ðµ 1 4Ð¼ÐµÑ 7 4Ð¼ÐµÑÑÑ†Ð° 3 5Ð¼ÐµÑ 7 5Ð¼ÐµÑÑÑ†ÐµÐ² 4 6Ð¼ÐµÑ 5 6Ð¼ÐµÑÑÑ†ÐµÐ² 9 7Ð¼ÐµÑ 3 7Ð¼ÐµÑÑÑ†ÐµÐ² 1 8Ð¼ÐµÑ 1 8Ð¼ÐµÑÑÑ†ÐµÐ² 3 9Ð¼ÐµÑ 2 9Ð¼ÐµÑÑÑ†ÐµÐ² 2 EVERY TWO MONTHS 1 Every 3 months 1 Every four months 1 Every two months 2 every 2 months 1 every 3 months 2 every two months 1 nei sei mesi che Ã¨ stato qui 1 una tantum 2 Ã¨ tutto quello che ha mandato da quando Ã¨ qui 1 Ð²Ñ€ÐµÐ¼ÑÐ¾Ñ‚Ð²Ñ€ÐµÐ¼ÐµÐ½Ð¸ 1 Ð·Ð°3Ð¼ÐµÑÑÑ†Ð° 1 Ð·Ð°4Ð¼ÐµÑÑÑ†Ð° 1 Ð·Ð°6Ð¼ÐµÑÑÑ†ÐµÐ² 1 Ð·Ð°7Ð¼ÐµÑÑÑ†ÐµÐ² 1 Ð·Ð°Ð²Ñ€ÐµÐ¼ÑÐ¿Ñ€ÐµÐ±Ñ‹Ð²Ð°Ð½Ð¸ÐµÐ²Ð Ð¤ 1 Ð¿Ð¾Ð»Ð³Ð¾Ð´Ð° 1 ÐŸÐ¾Ð»Ð³Ð¾Ð´Ð° 1 ÑÐ¼Ð°Ñ€Ñ‚Ð°2015Ð³Ð¾Ð´Ð°Ð¿Ð¾Ð¸ÑŽÐ»ÑŒ2016Ð³Ð¾Ð´Ð° 1 How many time did you change employers since you arrived in %current_country%? How many time did you change employers since you arrived in %current_country%? 215 2239 0 6 0 24 1 68 2 68 3 31 4 14 5 8 6 2 Sysmiss 2239 When you got a new job in %current_country%, did you ever pay money to get the j When you got a new job in %current_country%, did you ever pay money to get the job? 1013 1441 0 1 0 No 991 1 Yes 22 Sysmiss 1441 What were the payments for?:Work permit What were the payments for? 1013 1441 0 1 0 1010 1 3 Sysmiss 1441 new job cost: work permit How much did it cost for %rostertitle%? 1012 1442 0 15000 2016 constant USD equivalent of new job cost: work permit 1012 1442 0 396.247 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. 1 currency_new_job_cost_amount_ 2 2452 120 120 48 Egypt pound 0 51 Euro 0 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 0 118 Qatar riyal 0 120 Russia ruble 2 125 Saudi Arabia riyal 0 143 Tajikistan somoni 0 156 US dollar 0 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2452 What were the payments for?:Friends/relatives What were the payments for? 1013 1441 0 1 0 1006 1 7 Sysmiss 1441 new job cost: friends/relatives How much did it cost for %rostertitle%? 1012 1442 0 10000 2016 constant USD equivalent of new job cost: friends/relatives 1012 1442 0 264.165 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. 2 currency_new_job_cost_amount_ What has been the currency? 7 2447 120 156 48 Egypt pound 0 51 Euro 0 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 0 118 Qatar riyal 0 120 Russia ruble 6 125 Saudi Arabia riyal 0 143 Tajikistan somoni 0 156 US dollar 1 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2447 What were the payments for?:Job brokers What were the payments for? 1013 1441 0 1 0 1007 1 6 Sysmiss 1441 new job cost: job brokers How much did it cost for %rostertitle%? 1013 1441 0 15000 2016 constant USD equivalent of new job cost: job brokers 1013 1441 0 4424.779 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. 3 currency_new_job_cost_amount_ What has been the currency? 6 2448 51 120 48 Egypt pound 0 51 Euro 4 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 0 118 Qatar riyal 0 120 Russia ruble 2 125 Saudi Arabia riyal 0 143 Tajikistan somoni 0 156 US dollar 0 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2448 What were the payments for?:Others What were the payments for? 1013 1441 0 1 0 1006 1 7 Sysmiss 1441 new job cost: others How much did it cost for %rostertitle%? 1013 1441 0 100000 88 currency_new_job_cost_amount_ What has been the currency? 7 2447 51 120 48 Egypt pound 0 51 Euro 3 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 88 Macedonia denar 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 116 Philippines peso 1 118 Qatar riyal 0 120 Russia ruble 3 125 Saudi Arabia riyal 0 143 Tajikistan somoni 0 156 US dollar 0 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2447 2016 constant USD equivalent of new job cost: others 1013 1441 0 1491.292 2016 constant US dollar equivalents of variables: monetary variables with the extension “USD2016" are 2016 constant US dollar counterparts to the monetary variables expressed in original currencies. The conversion allows for direct comparison of costs across corridors with different currencies. 2016 constant US dollar values are placed right by their original currency values in the dataset. Construction of the variables includes two steps. First, exchange rate between the two currencies in appropriate year was applied. Second, nominal dollar values were converted to constant 2016 dollar values using the US consumer price indexes (CPIs). World Development Indicators database served as a source of both exchange rates and inflation data. Please specify Others. Please specify Others. 7 "Ð¿Ð°Ñ‚ÐµÐ½Ñ‚ " 1 Processing Fee 1 ha dovuto pagare l'affitto delle attrezzature anti infortuni alla persona che lo faceva lavorare ai ponteggi 1 quando lavorava come bracciante pagava 10 euro per essere chiamato e per avere vitto e alloggio (10 euro ogni volta) 1 truffa online per un lavoro in svizzera 1 Ð·Ð° Ð¾Ð±ÑƒÑ‡ÐµÐ½Ð¸Ðµ Ð¿Ñ€Ð¾Ñ„ÐµÑÑÐ¸Ð¸ 1 Ð¿Ð°Ñ‚ÐµÐ½Ñ‚ 1 SUPERVISER TRANSLATE IN ENG: other costs SUPERVISER TRANSLATE IN ENG: other costs 4 0 10 euros per day worked to pay for board and lodging in the fields 1 Processing Fee 1 he was asked to pay for thesafety equipment necessary to work as scaffolder 1 paid a fake intermediary (met online) for a job in switzerland 1 Did your employer provide you with housing? Did your employer provide you with housing? 2101 353 0 1 0 No 959 1 Yes 1142 Sysmiss 353 Was the cost of housing deducted from your wages? Was the cost of housing deducted from your wages? 1124 1330 0 1 -99 Don't know 0 0 No 1062 1 Yes 62 Sysmiss 1330 Did your employer provide you with food? Did your employer provide you with food? 2102 352 0 1 0 No 1305 1 Yes 797 Sysmiss 352 Was the cost of food deducted from your wages? Was the cost of food deducted from your wages? 780 1674 0 1 -99 Don't know 0 0 No 662 1 Yes 118 Sysmiss 1674 Was there a union or worker/staff association in your workplace? Was there a union or worker/staff association in your workplace? 1081 1373 0 1 -99 Don't know 0 0 No 683 1 Yes 398 Sysmiss 1373 Are you allowed to join the union? Are you allowed to join the union? 386 2068 0 1 -99 Don't know 0 0 No 358 1 Yes 28 Sysmiss 2068 Did you join the union? Did you join the union? 28 2426 0 1 0 No 16 1 Yes 12 Sysmiss 2426 Have you been deprived of any rights? Have you been deprived of any rights? 1953 501 0 1 -99 Don't know 0 0 No 1745 1 Yes 208 Sysmiss 501 Which rights?:Unable to express views freely Which rights? 205 2249 0 1 0 152 1 53 Sysmiss 2249 Which rights?:Unable to join or organize a trade union Which rights? 205 2249 0 1 0 202 1 3 Sysmiss 2249 Which rights?:Unable to engage in industrial action such as going on strike or c Which rights? 205 2249 0 1 0 200 1 5 Sysmiss 2249 Which rights?:Unable to change employers Which rights? 205 2249 0 1 0 201 1 4 Sysmiss 2249 Which rights?:Not entitled to the same wages as native workers Which rights? 205 2249 0 1 0 161 1 44 Sysmiss 2249 Which rights?:Restricted from remitting earnings Which rights? 205 2249 0 1 0 198 1 7 Sysmiss 2249 Which rights?:Travel documents withheld by employers Which rights? 205 2249 0 1 0 150 1 55 Sysmiss 2249 Which rights?:Unable to communicate with people outside the job sites Which rights? 205 2249 0 1 0 192 1 13 Sysmiss 2249 Which rights?:No job security Which rights? 205 2249 0 1 0 193 1 12 Sysmiss 2249 Which rights?:Excluded from social security Which rights? 205 2249 0 1 0 182 1 23 Sysmiss 2249 Which rights?:Cannot practice own religion Which rights? 205 2249 0 1 0 193 1 12 Sysmiss 2249 Which rights?:Decent work hours/ rest day Which rights? 139 2315 0 1 0 48 1 91 Sysmiss 2315 Which rights?:Employment insurance benefits Which rights? 139 2315 0 1 0 136 1 3 Sysmiss 2315 Which rights?:Leave benefits Which rights? 139 2315 0 1 0 134 1 5 Sysmiss 2315 How many hours a week did you usually work? How many hours a week did you usually work? 2075 379 0 168 Did you receive at least one rest day a week? Did you receive at least one rest day a week? 2453 1 0 1 0 No 434 1 Yes 2019 Sysmiss 1 Have you been injured while at work or fallen sick at your recent job? Have you been injured while at work or fallen sick at your recent job? 2102 352 0 1 0 No 1773 1 Yes 329 Sysmiss 352 What was the cause of injury or illness? Please, specify What was the cause of injury or illness? Please, specify 329 " Ð¸Ð½Ñ„ÐµÐºÑ†Ð¸Ð¾Ð½Ð½Ñ‹Ðµ Ð·Ð°Ð±Ð¾Ð»ÐµÐ²Ð°Ð½Ð¸Ñ" 1 "Fever " 1 "Hand injured " 1 "Injured Fingers " 1 "Injured Hand " 3 "Injured Hands " 1 "Trangkaso " 1 "burns, overfatigue, " 1 "ÑƒÑˆÐ¸Ð± Ð½Ð¾Ð³Ð¸ " 1 Accident 1 Air-borne allergy 1 Anemic 1 Ankle inflammation, severe stomach pain due to eating spicy foods 1 Arthritis 1 Arthritis, long duration of standing 1 Asthma 1 Because of stress and Home sick 1 Because of the climate change. 1 Bigla nlang tumubo 1 Biglaan 1 Bone fracture 1 Change of Climate 2 Chest pain 1 Colds 2 Colds, cough 1 Cough 2 Cough and Colds 2 Cough and cold 2 Cough and colds 1 Cough during sandstorms 1 Cough, colds, fever 1 Cut in the finger, got stitched. 1 Cut wound in his hand 1 Cyst 1 Dahil sa gutom 1 Di na aalagan ang sarili dahil sa trabaho 1 Due to Change Climate 1 Due to Climate 3 Due to Climate Change 5 Due to Climate change 1 Due to High Blood 1 Due to allergy 1 Due to climate 2 Due to havy work 1 Due to heavy works 1 Due to homesick and stress 1 Due to slip and fell to the ground 1 Due to stress 1 Due to stress in work 1 Due to stress of work 1 Due to the Climate 1 Due to the climate 2 Due to the food he eat and having an high pressure 1 Due to the stress of the work 1 Due to the stress of work 1 Eye infection 1 Eye pain 1 Fell from the stairs 1 Fever 31 Fever and colds 9 Fever and headache 1 Fever, Cough, Highblood 1 Fever, Cough, Runny nose, and body ache 1 Fever, Headache, Overfatigue 1 Fever, colds and cough 1 Fever, cough and colds 1 Fever, stomach ache and cough 1 Fingers injured 1 Flu 1 Food 1 Gout, Highblood, Fever 1 Hand Injured 1 Hand injury 1 Hands Injured 1 Headache 3 Headache, fever 1 Hepa 1 High blood pressure 1 Home sick 1 Injured Fingers 1 Injured Hands 1 Injured Leg 1 Kidney failure 1 LBM 2 Migraine 1 Na sipa ng baka 1 Nadulas 1 Nahulog habang naglilinis 1 Nahulog sa hagdan 1 Naipit sa Elevator 1 Nosebleed, stomache 1 Over fatigue 3 Overfatigue, confined in the hospital for a day, rested for a week. 1 Overworked 2 Pimples 1 Rayuma, fever 1 Sa pagod 2 Sa pagod at puyat 1 Sa pagod at sa pag papalit ng Clima 1 Scar 1 Slip while cleaning the bathroom, swollen arm 1 Stomach pain, headache, allergic 1 Stomachache, Tooth Ache 1 Stress 1 Swollen foot 1 Synos, trangkaso 1 Toothache 1 Toothache, headache 1 Trangkaso 2 Tumor 1 UTI 2 Urinary tract infection 1 Water 1 Weather 5 abrasione da sostanza chimica 1 accident 1 accident broken arm 1 allergy attack 1 anemic 1 aspiration pneumonia 1 attempted rape 1 burns 1 chemicals 1 climate 10 climate and stress 1 contusione 1 cough 1 cough, cold 1 decrease of hemoglobin count in blood 1 dental injury (jacket) 1 diversi tipi di infortuni dovuti al lavoro della terra 1 due to stress of work 1 eye irritation due to clorox acid while cleaning the house 1 fever 21 fever and colds 1 fever, colds 1 fever, flu 1 flu 2 hand injury 1 head injury due accident 1 headache 1 high blood due to lack of sleep 1 hypertension 1 influenza 1 infortunio al ginocchio 1 injured Fingers 2 lack of sleep 1 lifting weights 1 mild stroke 1 nahihilo, allergy 1 over fatigue 2 overfatigue 6 pagod 1 polmonite 1 rottura ginocchio 1 seasonal 1 si Ã¨ ferito a un piede con un attrezzo ed Ã¨ rimasto 4 gg a casa 1 si Ã¨ tagliato con un coltello da cucina 1 si Ã¨ tagliato ma non in maniera grave 1 skin allergy 1 slip and fell in track into the ground 1 slip off 1 slip off the stairs 1 slipped off the floor 1 stomach ache 1 stomach pains and flu 1 stomache ache 1 stress 1 sudden change in body temp (she went swimming) 1 taglio ad una mano 1 temp 1 temp change 1 toothache 1 typhoid fever 1 ulcer 1 ustione da contatto 1 uti 1 varicella 1 Ã¨ caduto dal motorino per schivare un bambino ma non avendo la patente ed essendo in nero, il datore gli ha detto di non andare in ospedale 1 Ð±Ð¾Ð»ÐµÐ» Ð¶ÐµÐ»ÑƒÐ´Ð¾Ðº 1 Ð²Ñ‹Ð²Ð¸Ñ… Ð½Ð¾Ð³Ð¸ 1 Ð³Ñ€Ð¸Ð¿Ð¿ 2 Ð¸Ð½Ð´Ð¸ÐºÑƒÑ†Ð¸Ñ, Ð³Ñ€Ð¸Ð¿Ð¿ 1 Ð¸Ð½Ð´Ð¸ÐºÑ†Ð¸Ñ, Ð³Ñ€Ð¸Ð¿Ð¿ 1 Ð»ÐµÐ³ÐºÐ°Ñ Ð¿Ñ€Ð¾Ð¸Ð·Ð²Ð¾Ð´ÑÑ‚Ð²ÐµÐ½Ð½Ð°Ñ Ñ‚Ñ€Ð°Ð²Ð¼Ð° 1 Ð½ÐµÑÑ‡Ð°ÑÑ‚Ð½Ñ‹Ð¹ ÑÐ»ÑƒÑ‡Ð°Ð¹ 1 Ð¾Ð¶Ð¾Ð³ Ð¾Ñ‚ ÑƒÐ´Ð°Ñ€Ð° Ñ‚Ð¾ÐºÐ° 1 Ð¾Ð¶Ð¾Ð³ Ð¿Ñ€Ð°Ð²Ð¾Ð¹ Ñ€ÑƒÐºÐ¸ 1 Ð¾Ð¶Ð¾Ð³Ð¸ 1 Ð¾Ñ‚ÑÑƒÑ‚ÑÑ‚Ð²Ð¸Ðµ Ñ‚ÐµÐ¿Ð»Ñ‹Ñ… Ð²ÐµÑ‰ÐµÐ¹ Ð²Ñ‹Ð·Ð²Ð°Ð»Ð¾ Ð±Ñ€Ð¾Ð½Ñ…Ð¸Ñ‚ 1 Ð¾Ñ€Ð²Ð¸ 1 Ð¾Ñ€Ð· 1 Ð¿ÐµÑ€ÐµÐ»Ð¾Ð¼ 1 Ð¿ÐµÑ€ÐµÐ»Ð¾Ð¼ Ð¿Ð°Ð»ÑŒÑ†Ð° 1 Ð¿ÐµÑ€ÐµÐ»Ð¾Ð¼ Ð¿Ð°Ð»ÑŒÑ†Ð° Ð½Ð¾Ð³Ð¸Ñ… 1 Ð¿ÐµÑ€ÐµÐ»Ð¾Ð¼ Ñ€ÑƒÐºÐ¸ 3 Ð¿Ð¾Ñ‚ÑÐ½ÑƒÐ» ÑÐ¿Ð¸Ð½Ñƒ 1 Ð¿Ð¾Ñ€ÐµÐ· Ð¾Ñ‚Ñ…Ð¾Ð´Ð¾Ð¼Ð¸ Ð¼ÑƒÑÐ¾Ñ€Ð° 1 Ð¿Ð¾Ñ€ÐµÐ· Ñ„Ð¾Ñ€Ñ‚ÑƒÐ½Ð¾Ð¹ 1 Ð¿Ð¾Ñ€ÐµÐ·Ð°Ð» Ñ€ÑƒÐºÐ¸ 1 Ð¿Ñ€Ð¾Ð¸Ð·Ð²Ð¾Ð´ÑÑ‚Ð²ÐµÐ½Ð½Ð°Ñ Ñ‚Ñ€Ð°Ð²Ð¼Ð° 1 Ð¿Ñ€Ð¾ÑÑ‚ÑƒÐ´Ð° 4 Ð¿Ñ€Ð¾ÑÑ‚ÑƒÐ´Ð°, Ð³Ñ€Ð¸Ð¿Ð¿ 1 Ð¿Ñ€Ð¾ÑÑ‚ÑƒÐ´Ð°,Ñ€Ð°Ð½Ð° Ð½Ð° Ð½Ð¾Ð³Ðµ 1 Ð¿Ñ€Ð¾ÑÑ‚ÑƒÐ´Ð¸Ð»ÑÑ ÑÐ¸Ð»ÑŒÐ½Ð¾ Ð·Ð¸Ð¼Ð¾Ð¹ 1 ÐžÑ‚Ñ€ÐµÐ·Ð°Ð» Ñ€ÑƒÐºÑƒ ÑˆÐ»Ð°Ð½Ð³Ð¾Ð¼ Ð´Ð»Ñ Ð¼Ð°ÑˆÐ¸Ð½ 1 ÑÐ»Ð¾Ð¼Ð°Ð» Ñ€ÑƒÐºÑƒ 1 ÑÐ»Ð¾Ð¼Ð°Ð½ Ð¿Ð°Ð»ÐµÑ†Ð½Ð° Ñ€ÑƒÐºÐµ 1 ÑÐ¿Ð¸Ð½Ð° Ð±Ð¾Ð»ÐµÐ»Ð°, Ð¿Ð¾Ñ‡ÐºÐ¸ 1 ÑƒÐ¿Ð°Ð» ÐºÐ¸Ñ€Ð¿Ð¸Ñ‡ Ð½Ð° Ð½Ð¾Ð³Ñƒ 1 ÑƒÐ¿Ð°Ð» Ñ Ð²Ñ‹ÑÐ¾Ñ‚Ñ‹ 1 ÑƒÐ¿Ð°Ð» Ñ Ð»ÐµÑÑ‚Ð½Ð¸Ñ†Ñ‹ Ð¿Ð¾Ð´Ð²ÐµÑ€Ð½ÑƒÐ» Ð½Ð¾Ð³Ñƒ 1 ÑƒÑˆÐ¸Ð± ÐºÐ¸ÑÑ‚Ð¸ Ñ€ÑƒÐºÐ¸ 1 ÑƒÑˆÐ¸Ð± Ð½Ð¾Ð³Ð¸ 1 ÑƒÑˆÐ¸Ð± Ñ‚Ð°Ð·Ð¾Ð±ÐµÐ´Ñ€ÐµÐ½Ð½Ð¾Ð¹ ÐºÐ¾ÑÑ‚Ð¸ 1 ÑƒÑˆÐ¸Ð±Ñ‹ 1 ÑƒÑˆÐ¸Ð±Ñ‹, Ð¿Ð¾Ñ€ÐµÐ·Ñ‹, ÑÐ²ÑÐ·Ð°Ð½Ð½Ñ‹Ðµ Ñ Ñ€Ð°Ð±Ð¾Ñ‚Ð¾Ð¹ 1 Ñ‚Ñ€Ð°Ð²Ð¼Ð° Ð¿Ð»ÐµÑ‡Ð° 1 Ñ€Ð°Ð·Ñ€ÑƒÐ±Ð¸Ð» Ð½Ð¾Ð³Ñƒ Ñ‚Ð¾Ð¿Ð¾Ñ€Ð¾Ð¼ 1 Ñ€Ð°ÑÑ‚ÑÐ½ÑƒÐ» ÑÐ¿Ð¸Ð½Ñƒ 1 SUPERVISER TRANSLATE IN ENG: cause of injury SUPERVISER TRANSLATE IN ENG: cause of injury 272 0 " varicella " 1 "Accident " 1 "Hand injury while working on a new welding machine " 1 "Home sick " 1 "Injured Fingers while doing carpentry work " 1 "Injured finger while loading " 1 "Injured two fingers while doing carpentry work. " 1 "Injury to Hand while loading " 1 "Injury to hand " 1 "Injury to hand as pipe fell on hand " 1 "Minor Injury in hands while moving construction materials " 1 "Overfatigue " 4 "Seasonal " 1 "Suffered a major cut in hand while loading " 1 "Suffered a minor injury while doing plumbing work at the site " 1 "While loading stones " 1 "carelessness " 1 "overfatigue " 1 Accident 9 Accidentally slipped 2 Allergy 4 Attempted rape 1 Chemicals 1 Elevator accident 1 Farm accident 1 Fatigue 1 Food 1 Genes 1 Genetic 1 Leg injury( muscular ) due to driving 1 Lifestyle 33 Minor Injury to Hands at Construction Site 1 Minor hand Injury caused by crane 1 Overfatigue 12 Seaonal 1 Seasonal 104 Slip off 1 Swollen foot 1 Unknown 1 Work related 3 accident 5 contusion 1 cut with a knife 1 he broke his knee 1 he had an accident while driving for his deliveries 1 he wounded his feet with a tool, stayed 4 days at home 1 human error 2 lifestyle 12 natural conditions 1 over fatigue 7 overfatigue 2 pneumonia 2 seasonal 27 skin abrasion 1 skin burn 1 small injuries 1 spoiled food 1 tooth decay 1 wounded his hand (cut) 1 Were you paid for the days when you were not able to work because of injury or i Were you paid for the days when you were not able to work because of injury or illness? 329 2125 0 1 0 No 58 1 Yes 271 Sysmiss 2125 What type of visa did you have when you entered %current_country%? What type of visa did you have when you entered %current_country%? 2102 352 1 6 1 Work visa 1192 2 Tourism 36 3 Family reunification 32 4 Study 7 5 Didn't have a visa 477 6 No visa required 358 Sysmiss 352 What status do you currently have? What status do you currently have? 1634 820 1 88 1 With permit, long-term 551 2 With permit, short-term 795 3 Pending regularization 19 4 Regularized 9 5 Permit expired 22 6 Never had a permit 188 88 Other 50 Sysmiss 820 Please, specify your current status Please, specify your current status 50 0 "Ð½Ð° Ð¾Ð´Ð¸Ð½ Ð³Ð¾Ð´ " 1 asylum seeker 1 asylum seeker, waiting to receive his first permit 1 bastoni seeker 1 cittadinanza acquista per matrimonio 1 per motivi di salute 1 Ð²Ñ€ÐµÐ¼ÐµÐ½Ð½Ð¾Ðµ Ð¿Ñ€ÐµÐ±Ñ‹Ð²Ð°Ð½Ð¸Ðµ 1 Ð³Ñ€. Ñ€Ð¾ÑÑÐ¸Ð¸ 1 Ð´Ð²Ð¾Ð¹Ð½Ð¾Ð¹ Ð³Ñ€Ð°Ð¶Ð´Ð°Ð½Ð¸Ð½ 3 Ð´Ð¾Ð»Ð³Ð¾ÑÑ€Ð¾Ñ‡Ð½Ñ‹Ð¹ Ð²Ð¸Ð´ Ð½Ð° Ð¶Ð¸Ñ‚ÐµÐ»ÑŒÑÑ‚Ð²Ð¾ 1 Ð·Ð°Ñ‚Ñ€ÑƒÐ´Ð½ÑÑŽÑÑŒ Ð¾Ñ‚Ð²ÐµÑ‚Ð¸Ñ‚ÑŒ 5 Ð½ÐµÐ»ÐµÐ³Ð°Ð»ÑŒÐ½Ð¾ Ñ€Ð°Ð±Ð¾Ñ‚Ð°ÑŽ 1 Ð¿Ð°Ñ‚ÐµÐ½Ñ‚ 1 Ð¿Ð°Ñ‚ÐµÐ½Ñ‚ Ð½Ð° 1 Ð³Ð¾Ð´ 1 Ð¿Ð°Ñ‚ÐµÐ½Ñ‚ Ð½Ð° Ñ€Ð°Ð±Ð¾Ñ‚Ñƒ 2 Ð¿Ð¾ Ñ‚Ñ€ÑƒÐ´Ð¾Ð²Ð¾Ð¼Ñƒ Ð´Ð¾Ð³Ð¾Ð²Ð¾Ñ€Ñƒ 1 Ð¿Ñ€Ð¸ÐµÑ…Ð°Ð»Ð° Ð½Ð° ÐºÐ°Ð½Ð¸ÐºÑƒÐ»Ñ‹ 1 Ð¿Ñ€Ð¾Ð¿Ð¸ÑÐºÐ° 1 ÑÑ‚ÑƒÐ´ÐµÐ½Ñ‚ 1 Ñ‚Ð¾Ð»ÑŒÐºÐ¾ Ñ€ÐµÐ³Ð¸ÑÑ‚Ñ€Ð°Ñ†Ð¸Ñ 1 Ñ‚Ñ€ÐºÐ´Ð°Ð²Ð¾Ð¹ Ð´Ð¾Ð³Ð¾Ð²Ð¾Ñ€ 1 Ñ‚Ñ€ÑƒÐ´Ð¾Ð²Ð¾Ð¹ Ð´Ð¾Ð³Ð¾Ð²Ð¾Ñ€ 12 Ñ€Ð°Ð±Ð¾Ñ‚Ð° Ð¿Ð¾ Ñ‚Ñ€ÑƒÐ´Ð¾Ð²Ð¾Ð¼Ñƒ Ð´Ð¾Ð³Ð¾Ð²Ð¾Ñ€Ñƒ 1 Ñ€Ð°Ð±Ð¾Ñ‚Ð½Ð¸Ðº 1 Ñ€Ð°Ð· Ð² Ñ‚Ñ€Ð¸ Ð¼ÐµÑÑÑ†Ð° Ð´ÐµÐ»Ð°ÑŽ Ð²Ñ‹ÐµÐ·Ð´-Ð·Ð°ÐµÐ·Ð´ Ð¸ Ñ€ÐµÐ³Ð¸ÑÑ‚Ñ€Ð°Ñ†Ð¸ÑŽ 1 Ñ€Ð°Ð·Ñ€ÐµÑˆÐµÐ½Ð¸Ðµ Ð½Ð° 1 Ð³Ð¾Ð´ 1 Ñ€Ð°Ð·Ñ€ÐµÑˆÐµÐ½Ð¸Ðµ Ð½Ð° Ñ€Ð°Ð±Ð¾Ñ‚Ñƒ ÑÑ€Ð¾ÐºÐ¾Ð¼ Ð½Ð° 1 Ð³Ð¾Ð´ 1 Ñ€Ð°Ð·Ñ€ÐµÑˆÐµÐ½Ð¸Ðµ Ð½Ð° Ñ€Ð°Ð±Ð¾Ñ‚Ñƒ ÑÑ€Ð¾ÐºÐ¾Ð¼ Ð½Ð° Ð³Ð¾Ð´ 1 Ñ€ÐµÐ³Ð¸ÑÑ‚Ñ€Ð°Ñ†Ð¸Ñ 1 Ñ€ÐµÐ³Ð¸ÑÑ‚Ñ€Ð°Ñ†Ð¸Ñ Ð¸ Ñ‚Ñ€ÑƒÐ´Ð¾Ð²Ð¾Ð¹ Ð´Ð¾Ð³Ð¾Ð²Ð¾Ñ€ 1 Ñ€ÐµÐ·Ð¸Ð´ÐµÐ½Ñ‚ 1 Ñ€Ð¾ÑÑÐ¸Ð¹ÑÐºÐ¸Ð¹ Ñ€Ð°ÑÐ¿Ð¾Ñ€Ñ‚ 1 Have you ever participated in mass regularization schemes in %current_country%? Have you ever participated in mass regularization schemes in %current_country%? 1614 840 0 1 0 No 1605 1 Yes 9 Sysmiss 840 What is the currency? What is the currency? 5 2449 51 120 48 Egypt pound 0 51 Euro 1 57 Ghana cedi 0 68 India rupee 0 69 Indonesia rupiah 0 80 Kyrgyzstan som 0 85 Libyan dinar 0 88 Macedonia denar 0 91 Malaysian ringgit 0 97 Moldova leu 0 99 Morocco dirham 0 102 Nepal rupee 0 107 Nigerian naira 0 116 Philippines peso 0 118 Qatar riyal 0 120 Russia ruble 4 125 Saudi Arabia riyal 0 143 Tajikistan somoni 0 156 US dollar 0 158 Uzbekistan som 0 165 Other 0 166 West Africa CFA Franc 0 Sysmiss 2449 Have you paid any fees to participate in the regularization? Have you paid any fees to participate in the regularization? 9 2445 0 1 0 ÐÐµÑ‚ No 4 1 Ð”Ð° Yes 5 Sysmiss 2445 How much did you pay? How much did you pay? 5 2449 2500 20000 Will you depart for a foreign country to work within two weeks time? Will you depart for a foreign country to work within two weeks time? 352 2102 1 1 0 No 0 1 Yes 352 Sysmiss 2102 Are you the head of your household? Are you the head of your household? 352 2102 0 1 0 Yes 86 1 No 266 Sysmiss 2102 Who is the head of your household? Who is the head of your household? 266 2188 1 88 1 Spouse/partner 13 2 Mother 26 3 Father 200 4 Brother 25 5 Sister 0 88 Other 2 Sysmiss 2188 What is your highest level of education attainment? What is your highest level of education attainment? 351 2103 1 6 1 Illiterate 26 2 Literate but no schooling 0 3 Primary (1-5) 106 4 Secondary (6-10) 172 5 SLC and intermediate 46 6 Graduate and Above 1 88 Level not stated 0 Sysmiss 2103 Where is your home district? Where is your home district? 352 0 "Gulmi " 1 "Kathmandu " 2 "Parsa " 1 "Rupandehi " 1 "gorkha " 1 "saptari " 1 "sarlahi " 2 Arghakhachhi 1 Arghakhachi 2 Baitadi 3 Banke 6 Bara 4 Bardiya 1 Bhairhawa 1 Bhojpur 1 Chitwan 2 Dang 3 Dhankuta 1 Dhankutta 3 Dhanusa 3 Dhanusha 3 Dolakha 2 Illam 2 Jhapa 6 Kanchanpur 5 Kapilbastu 3 Kapilbistu 1 Kaski 1 Kathmandu 1 Kavre 2 Kavrepalanchok 1 Khotang 4 Mahotari 2 Mahottari 1 Makawanpur 3 Makwanpur 1 Mhottari 1 Morang 5 Morning 1 Mugu 1 Myagdi 1 Nawakot 1 Nawalparasi 2 Nuwakot 3 Okhaldhunga 1 Pachathar 1 Pachthar 1 Palpa 1 Parbat 1 Psrsa 1 Ramechap 1 Rautahat 4 Rauthat 1 Rolpa 1 Rukum 1 Rupandehi 5 Rupandhi 1 Salyan 3 Saptari 5 Sarlahi 9 Shiraha 1 Shitaha 1 Sindhuli 3 Siraha 3 Sunsari 12 Surkhet 1 Tanahu 2 Tanahun 1 Taplejung 2 Udayapur 5 Udaypur 1 banke 1 bara 7 bardia 2 bhojpur 3 butwal 1 chitwan 4 dang 11 dhading 3 dhanusa 4 dolakha 1 dolkha 2 gorkha 1 gulmi 3 ilam 4 itahari 2 janakpur 1 jhapa 4 kapilbastu 4 kaski 1 kavrepalanchok 1 khotang 5 lalitpur 1 lumbini 1 mahotari 6 mahottari 8 makwanpur 1 morang 6 nawalparasi 1 palpa 2 panch thar 1 panchthar 3 parsa 17 pokhara 2 pyuthan 1 ramechhap 1 rautahat 4 rolpa 1 rupandehi 5 salyan 8 saptari 14 sarlahi 16 shindupalchok 1 sindhuli 4 siraha 3 solukhumbu 1 sunsari 4 surkhet 3 syangja 2 taplejung 6 udaypur 2 Do you use any social media? Do you use any social media? 350 2104 0 1 0 No 265 1 Yes 85 Sysmiss 2104 Which form of social media are you currently using? Which form of social media are you currently using? 85 2369 1 88 1 Facebook 83 2 Twitter 0 3 Instagram 1 4 Linkedin 0 88 Others 1 Sysmiss 2369 When was your foreign employment pre-approved? When was your foreign employment pre-approved? 352 0 2015-05-09 1 2016-03-05 1 2016-03-10 1 2016-03-27 1 2016-03-30 1 2016-04-04 1 2016-04-26 1 2016-04-27 1 2016-04-28 4 2016-04-29 1 2016-04-30 2 2016-05-04 2 2016-05-05 2 2016-05-16 1 2016-05-21 1 2016-05-23 1 2016-05-24 2 2016-05-26 1 2016-05-28 2 2016-05-29 3 2016-05-30 1 2016-06-01 1 2016-06-02 2 2016-06-03 6 2016-06-04 6 2016-06-05 1 2016-06-06 1 2016-06-07 3 2016-06-08 1 2016-06-10 3 2016-06-11 1 2016-06-12 1 2016-06-13 1 2016-06-14 1 2016-06-15 1 2016-06-16 2 2016-06-17 1 2016-06-18 4 2016-06-19 1 2016-06-20 3 2016-06-21 9 2016-06-22 7 2016-06-23 8 2016-06-24 2 2016-06-25 3 2016-06-26 2 2016-06-27 7 2016-06-28 2 2016-06-29 3 2016-06-30 1 2016-07-01 3 2016-07-02 4 2016-07-03 12 2016-07-04 18 2016-07-05 8 2016-07-06 1 2016-07-07 3 2016-07-08 6 2016-07-10 10 2016-07-11 5 2016-07-13 2 2016-07-14 11 2016-07-15 12 2016-07-16 4 2016-07-17 3 2016-07-18 14 2016-07-19 5 2016-07-20 11 2016-07-21 6 2016-07-22 7 2016-07-23 4 2016-07-24 8 2016-07-25 3 2016-07-26 6 2016-07-27 12 2016-07-28 46 2016-07-29 1 2016-07-30 2 2016-07-31 7 2016-08-01 1 2016-08-10 1 2016-08-15 1 Supervisor: specify the timing of pre-approval for foreign employment Supervisor: specify the timing of pre-approval for foreign employment 352 2102 2 2 1 Before Free Visa and Free Ticket 0 2 After Free Visa and Free Ticket 352 Sysmiss 2102 What type of employment did you have? What type of employment did you have? 278 2176 1 88 1 Worked for an employer 74 2 Was self-employed 183 3 Day laborer 19 88 Others 2 Sysmiss 2176 Did you hire someone to do your job? Did you hire someone to do your job? 257 2197 0 1 0 No 251 1 Yes 6 Sysmiss 2197 How much did you pay to the person you hired? How much did you pay to the person you hired? 6 2448 400 20000 What was the unit ? What was the unit ? 6 2448 1 3 1 Day 2 2 Week 0 3 Month 4 4 Year 0 Sysmiss 2448 What was the currency ? What was the currency ? 6 2448 102 102 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 0 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 0 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 0 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 0 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 6 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 0 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 0 117 polish zloty 0 118 qatari riyal 0 119 romanian leu 0 120 russian ruble 0 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 0 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 0 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 0 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 0 Sysmiss 2448 Have you signed an employment contract for this job in %current_country1%? Have you signed an employment contract for this job in %current_country1%? 352 2102 0 1 0 No 3 1 Yes 349 Sysmiss 2102 In what language is your signed employment contract?:Nepali In what language is your signed employment contract? 349 2105 0 1 0 33 1 316 Sysmiss 2105 In what language is your signed employment contract?:English In what language is your signed employment contract? 349 2105 0 1 0 22 1 327 Sysmiss 2105 In what language is your signed employment contract?:Arabic In what language is your signed employment contract? 349 2105 0 1 0 335 1 14 Sysmiss 2105 In what language is your signed employment contract?:Malayi In what language is your signed employment contract? 349 2105 0 1 0 336 1 13 Sysmiss 2105 In what language is your signed employment contract?:Other In what language is your signed employment contract? 349 2105 0 1 0 347 1 2 Sysmiss 2105 According to your labor contract letter, how long will you work in %current_coun According to your labor contract letter, how long will you work in %current_country1% (in months)? 351 2103 2 60 According to your signed employment contract, what kind of work will you be doin According to your signed employment contract, what kind of work will you be doing at the %current_country1%? (be specific, e.g., laying bricks). 352 0 "Bekary " 1 "Factory Worker " 1 "Metal Door Fixer " 1 "Secretary " 1 "aluminium glass technician " 1 "aluminium labour " 1 "building construction " 2 "carpenter " 2 "cleaning " 2 "construction " 2 "driver " 1 "driving " 1 "electrician " 2 "factory worker " 1 "factory workers " 1 "gloves making " 1 "helper restaurant " 1 "hotel labourer " 2 "labour " 15 "labourer " 2 "painting " 2 "restaurant " 1 "salesman " 1 "security guard " 3 "security guards " 1 Bekary 1 Car Wash 4 Car wash 2 Carpenter 6 Cleaner 5 Clinear 1 Construction 2 Construction Labour 3 Driver 2 Driving 1 Electrician 3 Electricion 1 Factory Labour 1 Factory Worker 7 Fitter 1 Furniture 1 Garden Boy 1 Globe Company Labour 1 Havy Driver 1 Helper 8 Installation Technician 2 Kitchen Worker 1 Labour 22 Labour Worker 1 Made Agarbatti 1 Made Sofaset 1 Maintenance Worker 1 Mason 1 Mechanics 1 Operator 1 Painting 1 Peaking 1 Pipe Fitter 1 Plaster 2 Plaster (meshan) 1 Plumber 1 Product Parking 1 Production Operater 1 Security Gard 1 Skafolder 2 Skafolding Helper 1 Umbrella Making Labour 1 Waiter 2 Worker 9 Worker in Petrol pump 1 agricultural labour 1 airways Qatar cleaner I 1 almunium 1 almunium helper 1 aluminium helper 1 building worker labour 1 candle packing 1 carpenter 1 cleaner 12 cleaning 1 cook helper 1 cooking 1 decoration plant 1 download and upload labour 1 driver 2 driving 2 driving truck 1 electrician 1 factory labour 1 factory work 2 factory worker 77 factory worker juice making 1 factory workers 1 fitters 1 general worker 4 gibson 1 glass factory worker 1 gloves making 2 helper 3 hospital house keeping 3 hotel cleaning 1 hotel labour 1 labour 25 labout 1 mason 5 metal door fixer 1 packing 3 painter 2 party palace 2 plant decoration 1 plastic company 1 plumber 1 plumbing 1 poly fibre 1 poly glass factory 1 restaurant work 1 scaff folder 2 scaffolder 1 security 3 security guard 2 truck driver 1 waiter 3 waiter in hotel 1 warker 1 welding 1 wielder 1 worker in glove factory 1 Supervisor: Please classify the sector of the foreign job Supervisor: Please classify the sector of the foreign job 336 2118 1 88 1 Construction 130 2 Agriculture 1 3 Services (Including domestic worker) 74 88 Other 131 Sysmiss 2118 Does your contract specify that you will get paid for overtime-work? Does your contract specify that you will get paid for overtime-work? 352 2102 0 1 0 No 10 1 Yes 342 Sysmiss 2102 How many family members do you plan to support from sending money from %current_ How many family members do you plan to support from sending money from %current_country1%? 352 2102 1 27000 When did you find out about this foreign job? When did you find out about this foreign job? 352 0 2015-07-31 1 2015-08-05 1 2015-08-07 1 2015-10-27 1 2016-01-10 1 2016-01-22 1 2016-01-27 2 2016-02-06 1 2016-02-18 2 2016-02-20 1 2016-02-29 3 2016-03-03 1 2016-03-04 2 2016-03-05 2 2016-03-06 1 2016-03-14 1 2016-03-18 2 2016-03-22 2 2016-03-23 1 2016-03-24 1 2016-03-27 3 2016-03-28 1 2016-03-29 2 2016-04-02 3 2016-04-03 4 2016-04-04 5 2016-04-05 2 2016-04-10 4 2016-04-11 1 2016-04-17 1 2016-04-18 1 2016-04-19 1 2016-04-20 3 2016-04-21 4 2016-04-22 1 2016-04-23 3 2016-04-24 4 2016-04-25 4 2016-04-26 7 2016-04-27 5 2016-04-28 2 2016-04-29 4 2016-04-30 4 2016-05-01 1 2016-05-02 4 2016-05-03 7 2016-05-04 14 2016-05-05 5 2016-05-06 1 2016-05-07 2 2016-05-08 2 2016-05-10 9 2016-05-12 1 2016-05-16 2 2016-05-18 4 2016-05-19 3 2016-05-20 1 2016-05-21 5 2016-05-22 3 2016-05-23 5 2016-05-24 11 2016-05-25 4 2016-05-26 13 2016-05-27 7 2016-05-28 6 2016-05-29 10 2016-05-30 11 2016-06-01 3 2016-06-02 3 2016-06-03 15 2016-06-04 14 2016-06-05 6 2016-06-07 3 2016-06-08 1 2016-06-09 2 2016-06-10 9 2016-06-11 1 2016-06-12 1 2016-06-14 1 2016-06-17 2 2016-06-18 1 2016-06-19 1 2016-06-20 4 2016-06-21 4 2016-06-22 12 2016-06-23 4 2016-06-24 3 2016-06-25 4 2016-06-26 2 2016-06-27 1 2016-06-28 5 2016-06-29 2 2016-06-30 5 2016-07-01 1 2016-07-03 5 2016-07-04 2 2016-07-05 1 2016-07-06 1 2016-07-10 1 2016-07-11 1 2016-07-16 1 2016-07-21 1 2016-08-07 1 Supervisor: Type in how many months ago this job information was found Supervisor: Type in how many months ago this job information was found 346 2108 1 13 1 4 2 126 3 129 4 59 5 16 6 4 7 6 9 1 13 1 Sysmiss 2108 After you found job information through %job_info_source%, who arranged the recr After you found job information through %job_info_source%, who arranged the recruitment process for this job in %current_country1%? 352 2102 1 4 1 Relative/friend 4 2 Individual recruiter/broker 39 3 Recruitment Agency 308 4 Government Institutions 1 5 Employer in the destination country 0 6 Non-government associations (organization) 0 Sysmiss 2102 What did %recruit_by_who% do for you?:Found a job in the destination country What did %recruit_by_who% do for you? 352 2102 0 1 0 193 1 159 Sysmiss 2102 What did %recruit_by_who% do for you?:Arranged work permit What did %recruit_by_who% do for you? 352 2102 0 1 0 227 1 125 Sysmiss 2102 What did %recruit_by_who% do for you?:Arranged visa What did %recruit_by_who% do for you? 352 2102 0 1 0 118 1 234 Sysmiss 2102 What did %recruit_by_who% do for you?:Arranged passport What did %recruit_by_who% do for you? 352 2102 0 1 0 344 1 8 Sysmiss 2102 What did %recruit_by_who% do for you?:Bought the plane ticket What did %recruit_by_who% do for you? 352 2102 0 1 0 141 1 211 Sysmiss 2102 What did %recruit_by_who% do for you?:Arranged the medical examination What did %recruit_by_who% do for you? 352 2102 0 1 0 327 1 25 Sysmiss 2102 What did %recruit_by_who% do for you?:Arranged the re-departure orientation What did %recruit_by_who% do for you? 352 2102 0 1 0 195 1 157 Sysmiss 2102 What did %recruit_by_who% do for you?:Bought the insurance What did %recruit_by_who% do for you? 352 2102 0 1 0 238 1 114 Sysmiss 2102 What did %recruit_by_who% do for you?:Arranged the skills training What did %recruit_by_who% do for you? 352 2102 0 1 0 207 1 145 Sysmiss 2102 What did %recruit_by_who% do for you?:Put you in touch with recruitment agency o What did %recruit_by_who% do for you? 352 2102 0 1 0 191 1 161 Sysmiss 2102 What did %recruit_by_who% do for you?:Managed the entire deployment/ recruitment What did %recruit_by_who% do for you? 352 2102 0 1 0 132 1 220 Sysmiss 2102 What did %recruit_by_who% do for you?:Others What did %recruit_by_who% do for you? 352 2102 0 0 0 352 Sysmiss 2102 How long did the entire recruitment process take (in months)? How long did the entire recruitment process take (in months)? 352 2102 1 12 1 129 2 180 3 32 4 8 5 2 12 1 Sysmiss 2102 How did you finance the costs to go to %current_country1% for the job?:Household How did you finance the costs to go to %current_country1% for the job? 352 2102 0 1 0 288 1 64 Sysmiss 2102 How did you finance the costs to go to %current_country1% for the job?:Sold hous How did you finance the costs to go to %current_country1% for the job? 352 2102 0 1 0 348 1 4 Sysmiss 2102 How did you finance the costs to go to %current_country1% for the job?:Employer How did you finance the costs to go to %current_country1% for the job? 352 2102 0 0 0 352 Sysmiss 2102 How did you finance the costs to go to %current_country1% for the job?:Extended How did you finance the costs to go to %current_country1% for the job? 352 2102 0 1 0 349 1 3 Sysmiss 2102 How did you finance the costs to go to %current_country1% for the job?:Others How did you finance the costs to go to %current_country1% for the job? 352 2102 0 1 0 320 1 32 Sysmiss 2102 Please specify others. Please specify others. 32 0 father paid 1 relatives 1 savings 1 self 5 self paid 23 sister 1 Are you % Mr/Ms (Relative)% of migrant worker (name of migrant worker)? Are you % Mr/Ms (Relative)% of migrant worker (name of migrant worker)? 350 2104 1 1 0 No 0 1 Yes 350 Sysmiss 2104 Did %name% receive a receipt for the payments from the Recruitment Agency? Did %name% receive a receipt for the payments from the Recruitment Agency? 349 2105 1 99 0 No 0 1 Yes 320 99 Don't Know 29 Sysmiss 2105 Did the receipt received show the actual amount %name% paid to the Recruitment A Did the receipt received show the actual amount %name% paid to the Recruitment Agency? 349 2105 0 99 0 No 199 1 Yes 31 99 Don't Know 119 Sysmiss 2105 According to contract, how much is your monthly salary ? According to contract, how much is your monthly salary ? 352 2102 110 35000 2016 constant USD equivalent of Salary_Monthly 349 2105 13.959 1923.077 What is the currency? What is the currency? 349 2105 91 125 1 afghan afghani 0 2 albanian lek 0 3 algerian dinar 0 4 angolan kwanza 0 5 argentine peso 0 6 armenian dram 0 7 aruban florin 0 8 australian dollar 0 9 azerbaijani manat 0 10 bahamian dollar 0 11 bahraini dinar 0 12 bangladeshi taka 0 13 barbadian dollar 0 14 belarusian ruble 0 15 belize dollar 0 16 bermudian dollar 0 17 bhutanese ngultrum 0 18 bolivian boliviano 0 19 bosnia and herzegovina convertible mark 0 20 botswana pula 0 21 brazilian real 0 22 british pound 0 23 brunei dollar 0 24 bulgarian lev 0 25 burmese kyat 0 26 burundian franc 0 27 cambodian riel 0 28 canadian dollar 0 29 cape verdean escudo 0 30 cayman islands dollar 0 31 central african cfa franc 0 32 cfp franc 0 33 chilean peso 0 34 chinese yuan 0 35 colombian peso 0 36 comorian franc 0 37 congolese franc 0 38 cook islands dollar 0 39 costa rican colï¿½n 0 40 croatian kuna 0 41 cuban convertible peso 0 42 cuban peso 0 43 czech koruna 0 44 danish krone 0 45 djiboutian franc 0 46 dominican peso 0 47 east caribbean dollar 0 48 egyptian pound 0 49 eritrean nakfa 0 50 ethiopian birr 0 51 euro 0 52 falkland islands pound 0 53 faroese krï¿½na 0 54 fijian dollar 0 55 gambian dalasi 0 56 georgian lari 0 57 ghana cedi 0 58 gibraltar pound 0 59 guatemalan quetzal 0 60 guernsey pound 0 61 guinean franc 0 62 guyanese dollar 0 63 haitian gourde 0 64 honduran lempira 0 65 hong kong dollar 0 66 hungarian forint 0 67 icelandic krï¿½na 0 68 indian rupee 0 69 indonesian rupiah 0 70 iranian rial 0 71 iraqi dinar 0 72 israeli new shekel 0 73 jamaican dollar 0 74 japanese yen 0 75 jersey pound 0 76 jordanian dinar 0 77 kazakhstani tenge 0 78 kenyan shilling 0 79 kuwaiti dinar 0 80 kyrgyzstani som 0 81 lao kip 0 82 lebanese pound 0 83 lesotho loti 0 84 liberian dollar 0 85 libyan dinar 0 86 lithuanian litas 0 87 macanese pataca 0 88 macedonian denar 0 89 malagasy ariary 0 90 malawian kwacha 0 91 malaysian ringgit 166 92 maldivian rufiyaa 0 93 manx pound 0 94 mauritanian ouguiya 0 95 mauritian rupee 0 96 mexican peso 0 97 moldovan leu 0 98 mongolian t_gr_g 0 99 moroccan dirham 0 100 mozambican metical 0 101 namibian dollar 0 102 nepalese rupee 3 103 netherlands antillean guilder 0 104 new taiwan dollar 0 105 new zealand dollar 0 106 nicaraguan cordoba 0 107 nigerian naira 0 108 north korean won 0 109 norwegian krone 0 110 omani rial 0 111 pakistani rupee 0 112 panamanian balboa 0 113 papua new guinean kina 0 114 paraguayan guarani 0 115 peruvian nuevo sol 0 116 philippine peso 0 117 polish zloty 0 118 qatari riyal 88 119 romanian leu 0 120 russian ruble 0 121 rwandan franc 0 122 sahrawi peseta 0 123 saint helena pound 0 124 san thomas and principe dobra 0 125 saudi riyal 92 126 serbian dinar 0 127 seychellois rupee 0 128 sierra leonean leone 0 129 singapore dollar 0 130 solomon islands dollar 0 131 somali shilling 0 132 somaliland shilling 0 133 south african rand 0 134 south korean won 0 135 south sudanese pound 0 136 sri lankan rupee 0 137 sudanese pound 0 138 surinamese dollar 0 139 swazi lilangeni 0 140 swedish krona 0 141 swiss franc 0 142 syrian pound 0 143 tajikistani somoni 0 144 tanzanian shilling 0 145 thai baht 0 146 tongan pa_anga 0 147 transnistrian ruble 0 148 trinidad and tobago dollar 0 149 tunisian dinar 0 150 turkish lira 0 151 turkmenistan manat 0 152 tuvaluan dollar 0 153 ugandan shilling 0 154 ukrainian hryvnia 0 155 united arab emirates dirham 0 156 united states dollar 0 157 uruguayan peso 0 158 uzbekistani som 0 159 vanuatu vatu 0 160 venezuelan bolï¿½var 0 161 vietnamese dong 0 162 west african cfa franc 0 163 yemeni rial 0 164 zambian kwacha 0 165 other 0 166 West Africa CFA Franc 0 Sysmiss 2105 How much do you plan to send money home per month? How much do you plan to send money home per month? 351 2103 150 50000 2016 constant USD equivalent of Remittance 351 2103 36.159 576.923 What is the currency? What is the currency? 351 2103 1 4 1 Nepalese Rupees 258 2 Saudi Riyal 39 3 Malaysian Ringgit 16 4 Qatar Riyal 38 5 US Dollar 0 Sysmiss 2103 name of the survey What survey wave is the observation coming from? 2454 0 India-SAU 2016 409 Italy 2016 305 Nepal 2016 352 Philippines-SAU 2016 484 Russia 2016 904 Id 2454 0 interview date 2102 2016-06-08 2017-04-09 2016-06-08 2 2016-06-09 4 2016-06-10 6 2016-06-13 9 2016-06-14 9 2016-06-15 7 2016-06-16 14 2016-06-17 9 2016-06-20 4 2016-06-21 5 2016-06-22 16 2016-06-23 10 2016-06-24 21 2016-06-27 6 2016-06-28 3 2016-06-29 7 2016-06-30 5 2016-07-01 5 2016-07-04 7 2016-07-05 5 2016-07-07 12 2016-07-08 10 2016-07-11 20 2016-07-12 52 2016-07-13 56 2016-07-14 66 2016-07-15 37 2016-07-16 28 2016-07-17 40 2016-07-18 54 2016-07-19 85 2016-07-20 88 2016-07-21 59 2016-07-22 57 2016-07-23 9 2016-07-24 19 2016-07-25 30 2016-07-26 58 2016-07-27 61 2016-07-28 102 2016-07-29 19 2016-08-01 20 2016-08-02 29 2016-08-10 16 2016-08-11 19 2016-08-12 25 2016-08-14 4 2016-08-15 40 2016-08-17 9 2016-08-18 45 2016-08-19 16 2016-08-22 2 2016-08-25 38 2016-08-26 11 2016-09-07 1 2016-09-08 2 2016-09-09 1 2016-09-10 4 2016-09-11 2 2016-09-12 4 2016-09-13 4 2016-09-14 10 2016-09-15 3 2016-09-16 6 2016-09-17 3 2016-09-18 1 2016-09-19 9 2016-09-20 2 2016-09-21 1 2016-09-22 1 2016-09-23 2 2016-09-24 3 2016-09-25 5 2016-09-26 13 2016-09-28 3 2016-09-29 6 2016-09-30 6 2016-10-01 6 2016-10-06 1 2016-10-07 8 2016-10-09 9 2016-10-11 8 2016-10-12 1 2016-10-13 3 2016-10-14 9 2016-10-15 3 2016-10-16 7 2016-10-17 3 2016-10-18 14 2016-10-19 22 2016-10-20 31 2016-10-21 13 2016-10-22 17 2016-10-23 6 2016-10-24 20 2016-10-25 9 2016-10-26 8 2016-10-27 19 2016-10-28 7 2016-10-29 3 2016-11-02 5 2016-11-03 10 2016-11-04 12 2016-11-05 6 2016-11-06 4 2016-11-07 1 2016-11-08 3 2016-11-09 3 2016-11-10 4 2016-11-11 1 2016-11-12 1 2016-11-13 1 2016-11-14 5 2016-11-15 7 2016-11-16 6 2016-11-17 4 2016-11-18 3 2016-11-19 4 2016-11-24 2 2016-11-25 5 2016-11-26 6 2016-11-27 10 2016-11-28 6 2016-11-29 6 2016-11-30 9 2016-12-01 10 2016-12-02 6 2016-12-03 2 2016-12-04 4 2016-12-05 7 2016-12-06 3 2016-12-07 19 2016-12-08 2 2016-12-09 5 2016-12-10 2 2016-12-16 2 2016-12-17 1 2017-01-15 1 2017-01-16 5 2017-01-17 3 2017-01-18 1 2017-01-19 5 2017-01-22 3 2017-01-23 2 2017-01-25 1 2017-01-28 14 2017-01-30 4 2017-01-31 14 2017-02-01 1 2017-02-02 1 2017-02-04 3 2017-02-06 3 2017-02-07 4 2017-02-08 1 2017-02-10 3 2017-02-11 2 2017-02-13 1 2017-02-15 1 2017-02-17 3 2017-02-18 1 2017-02-20 2 2017-02-22 7 2017-02-24 16 2017-02-27 4 2017-03-03 3 2017-03-04 4 2017-03-07 3 2017-03-10 2 2017-03-18 6 2017-03-22 34 2017-03-23 4 2017-03-26 12 2017-03-27 6 2017-03-28 4 2017-03-29 5 2017-03-30 5 2017-03-31 3 2017-04-09 9 name of the origin country 2454 0 Benin 1 Burkina Faso 15 Cape Verde 1 Cote d'Ivoire 22 Gambia 33 Ghana 17 Guinea 29 India 409 Kyrgzstan 271 Liberia 1 Mali 47 Nepal 352 Niger 2 Nigeria 49 Philippines 484 Senegal 83 Sierra Leone 3 Tajikistan 309 Togo 2 Uzbekistan 324 name of the destination country 2454 0 Bissau 15 Italy 290 Malaysia 165 Qatar 89 Russia 904 SAU 991 name of bilateral corridor 2454 0 Benin-Italy 1 Burkina Faso-Italy 15 Cape Verde-Italy 1 Cote d'Ivoire-Italy 22 Gambia-Italy 33 Ghana-Italy 17 Guinea-Bissau-Italy 15 Guinea-Italy 14 India-SAU 409 Kyrgzstan-Russia 271 Liberia-Italy 1 Mali-Italy 47 Nepal-Malaysia 165 Nepal-Qatar 89 Nepal-SAU 98 Niger-Italy 2 Nigeria-Italy 49 Philippines-SAU 484 Senegal-Italy 83 Sierra Leone-Italy 3 Tajikistan-Russia 309 Togo-Italy 2 Uzbekistan-Russia 324 sum of itemized costs in 2016 constant USD 2454 0 0 131627.438 Total amount borrowed in 2016 constant USD 2454 0 0 403519.594 estimated monthly home earnings prior to migrating in 2016 constant USD 1681 773 0 439882.094 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. Monthly estimated foreign earnings at arrival in constant USD 1987 467 0 10081.137 Estimated monthly foreign income that was promised to migrant in 2016 constant USD. Calculation used amount_promisedUSD2016 and unit_promised. Monthly estimated foreign earnings minus witholdings at arrival in constant USD 1988 466 0 5965.169 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. Monthly estimated foreign earnings at arrival expected based on contract in cons 349 2105 13.959 1923.077 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) estimated current monthly foreign earnings in 2016 constant USD 2059 395 0 30000 Estimated current monthly foreign earnings in 2016 constant USD. Calculation used amount_current2USD2016 and unit_amount_current2. Assumptions: 26 work days in month. Current estimated monthly foreign earnings minus witholdings in constant USD 1956 498 0 9840.785 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. estimated monthly remittance during the year of work abroad in 2016 constant USD 2392 62 0 12800 Estimated monthly remittance during the year of work abroad in 2016 constant USD. Calculation used amount_sentUSD2016 and unit_amount_sent. recruitment cost indicator (RCI): recruitment costs paid as a multiple of monthl 1230 1224 0 120 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) migration cost indicator (MCI): migration costs paid as a multiple of monthly fo 806 1648 0 270.996 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. what proportion of total migration/recruitment costs does the loan represent? 2168 286 0 2500 What proportion of total recruitment/migration costs does the loan represent? Calculation: tot_borrowUSD2016/tot_expUSD2016 total amount borrowed as a multiple of monthly foreign earnings on arrival 1887 567 0 60 Total amount borrowed as a multiple of monthly foreign gross earnings on arrival. Formula: tot_borrowUSD2016/mthinc_arvUSD2016 total amount borrowed as a multiple of expected monthly foreign earnings 349 2105 0 53.333 Total amount borrowed as a multiple of expected monthly foreign gross earnings. Formula: tot_borrowUSD2016/mthinc_contract_arvUSD2016 (specific to Nepal 2016 survey) what proportion of the monthly foreign income is remitted home? 1891 563 0 87.583 What proportion of the monthly foreign gross income is remitted home? Calculation: mthremitUSD2016/mthincUSD2016 monthly foreign earnings as a multiple of home earnings earned prior to migratin 1281 1173 0 7110.441 Monthly foreign gross earnings on arrival as a multiple of monthly home earnings earned prior to migrating. Formula: mthinc_arvUSD2016/mthinc_priorUSD2016 estimated monthly foreign promised income in 2016 constant USD 1120 1334 0 10543.697 Estimated monthly foreign income that was promised to migrant in 2016 constant USD. Calculation used amount_promisedUSD2016 and unit_promised.