ta$s$cs for SDG indicator

Transcription

1 ta$s$cs for SDG indicator From Tier III to Tier II Rafael Diez de Medina (ILO) & Umar Serajuddin (World Bank) November 2018

2 ntent. Number, name and custodian agencies. Background, concept and ra$onale for re-classifica$on. Current status of the methodology. Way forward: implemen$ng the SDG methodology

3 umber, name and custodian agencies mber: SDG indicator me: Recruitment cost borne by employee as a propor$on of yearly income earned country of des$na$on. ggested change in the name: er consulta$ons with Na$onal Sta$s$cs Offices (NSOs), SDG indicator is now fined as: Recruitment cost borne by employee as a propor2on of monthly income rned in country of des2na2on. stodian Agency(ies): Interna$onal Labour Organiza$on (ILO) and World Bank (WB)

4 ckground (1) rker s paid recruitment cost is a major drain on poor migrants incomes and remi`ances ost 10 million people use regular channels to migrate in search of jobs every year rge number of them pay high and illegal recruitment fees to agents: f a worker pays $5,000 to the recruiter and the worker earns $150 a month or $ 1800 a year it ill take 3 years to pay back the costs. All her/his earnings go to pay the illegal recruiter instead f her/his family mplica$on: over-indebtedness and some$mes, slavery or bondage h recruitment costs increase the risk for forced labour and human trafficking. development community must endeavour to eliminate illegal recruitment fees

5 ckground (2) verage costs paid by a poor worker is $4000, elimina$ng recruitment costs uld place $4 billion back in the hands of workers for every 1 million migrants. Reduce recruitment costs $4,000 $4 Billion for every 1 million migrants $0

6 ncept SDG indicator is defined as: Recruitment cost borne by employee as a por$on of monthly income earned in country of des$na$on, i.e. a ra$o between t measure and an income measure. The sta$s$cs used for the numerators and denominators for indicator uld be based on costs and earnings observed for the same individual interna$onal grant worker.

7 $onale for re-classifca$on $onale for indicator re-classifica$on: ra[ing the methodology took stock of KNOMAD/ILO experience in conduc$ng l$ple surveys on recruitment costs ( ); arious consulta$ons with experts and NSOs on improving the methodology for ILO- OMAD surveys on recruitment costs; a$onal pilot with Lao PDR (LFS 2017); ra[ Guidelines prepared in early 2018; onsulta$ons on the dra[ Guidelines in Bangkok (March 2018), Delhi (April 2018), d Turin (June 2018); ra[ Guidelines endorsed by an expert group from 11 NSOs during a consulta$on rkshop in Washington (September 2018).

8 rrent status of the methodology ot yet an interna$onal standards, but already tested and endorsed by a number of Os; rocess for making it an interna$onal standards started, and include na$onal pilots from January 2019; ain data source already agreed by NSOs are na$onal household surveys; ey strategy agreed: SDG indicator should be collected using exis$ng surveys gramme (LFS, HS, LSMS, HIES, stand-alone migra$on surveys, establishment veys, etc.).

9 ay forward: implemen$ng the ethodology n$fy countries that have already migra$on surveys, and what data collec$on items they e on recruitment costs and earnings, and suggest updates: e.g. Republic of Korea, lippines, etc.; epare the Manual of Opera$ons to implement the guidelines velop a short module, medium ques$onnaire and long ques$onnaires). All will allow ntries to calculate recruitment costs orkshop on Recruitment costs and Migrant workers to discuss surveys and the Manual of ra$ons in March 2019 ot countries in : Bangladesh, Malaysia, Mexico, Pakistan, Philippines, Senegal, Lanka, Thailand, etc.; ta providers: NSOs, proposed to be part of official sta$s$cs; e series: proposed data collec$on and release for at least every 2 years; xt round of releasing sta$s$cs for a number of countries: expected for 3rd quarter 2019.

10 gure 1: Worker-Paid Recruitment Costs (selected rridors)

11 ble 1: Coverage of KNOMAD Migra$on st Surveys Origin Destination Sample size Performance site Survey period Survey methodology Vietnam 45 Thailand South Korea 31 Indonesia 36 South Korea March 2013 Household survey: Curre migrants in destination country Bangladesh 20 India 31 Kuwait Sri Lanka 19 Egypt 30 Kuwait March 2014 Household survey: Curre migrants in destination country Morocco 43 Educador 33 Bulgaria Spain 42 Poland 19 Spain: Huelva and Alemria January - February 2014 Household survey: Curre migrants in destination country Romania 30

12 ble 2: Coverage of 2015 KNOMAD-ILO Migra$on Cost rveys Origin Destination Sample size Performance site Survey period Survey methodology Ethiopia Saudi Arabia 499 Pakistan Saudi Arabia 375 United Arab Emirates 259 India Qatar 400 Ethiopia: Regions of Amhara, Oromiya, Tigray and Addis Ababa city administration Pakistan: Districts of Rawalpindi and Gujrat from North Punjab, Gujranwala and Sailkot from the central Punjab, and Mardan and Charsada from KPK India; Dehi, Mumbai and Hyderabad airports January September 2015 May July 2015 June September 2015 Household survey: return migrants in origin country Household survey: return migrants in origin country Household survey: return migrants in origin country Traveler's suvey: returnees (at airport with migrants arriving from Qatar) Philippines Qatar 366 Philippines: Various returnee processing centers, primarily in Metro-Manila May October 2015 Household survey: return migrants in origin country Nepal Qatar 352 Vietnam Malaysia 404 Guatemala 204 Honduras Mexico 163 Salvador 126 Nepal: Tribhuvan airport in Kathmandu Malaysia: State of Penang and region of Klang Valley Mexico: Suchiate municipality, Ciudad Hidalgo and city of Tapachula, Chiapas July December 2015 July - September 2015 January March 2016 Traveler's suvey: returnees (at airport with migrants arriving from Qatar) Household survey: Current migrants in destination country Household survey: Current migrants in destination country

13 ble 3: Coverage of 2016 KNOMAD-ILO Migra$on Cost rveys Origin Destination Sample size Performance site Survey period Survey methodology India Saudi Arabia 409 India; New Delhi Airport Philippines Saudi Arabia 484 Philippines; five high migration origin regions: National Capital Region (NCR), CALABARZON (IV-A), Central Luzon (III), SOCCSKSARGEN (XII), and Ilocos (I) September April 2017 June - August 2016 Traveler's suvey: returnees (at airport with migrants arriving from Saudi Arabia) Traveler's suvey: returnees (at airport with migrants arriving from Saudi Arabia) Nepal Qatar 89 Saudi Arabia 98 Malaysia 165 Nepal; in and around Tribhuvan International Airport August - September 2016 Traveler's suvey and household survey: Prospective migrants at predeparture and household left behind in origin country Uzbekistan 324 Kyrgzstan Russia 271 Russia; cities with the highest concentration of Central Asian, including Moscow, St. Petersburg, Novosibirsk, Samara, Stavropol and Krasnodar July - August 2016 Household survey: Current migrants in destination country Tajikistan 309 Egypt 23 Nigeria 49 Senegal Italy 83 West African CFA* 82 West African countries * 91 Italy; regions of Piedmont and Lombardy, excluding Rome July March 2017 Household survey: Current migrants in destination country

14 Interna$onal Labour Organiza$on & the World Bank November 2018