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___________________________________________________________________________ 2019/SOM2/HRDWG/FOR/015 International Labour Migration Statistics Database in ASEAN Submitted by: International Labour Organization APEC Labour Mobility Statistics Forum Viña del Mar, Chile 2-3 May 2019

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Page 1: International Labour Migration Statistics Database in ASEANmddb.apec.org/Documents/2019/HRDWG/FOR/19_hrdwg_for1_015.pdf · International Labour Migration Statistics Database (ILMS)

___________________________________________________________________________

2019/SOM2/HRDWG/FOR/015

International Labour Migration Statistics Database in ASEAN

Submitted by: International Labour Organization

APEC Labour Mobility Statistics ForumViña del Mar, Chile

2-3 May 2019

Page 2: International Labour Migration Statistics Database in ASEANmddb.apec.org/Documents/2019/HRDWG/FOR/19_hrdwg_for1_015.pdf · International Labour Migration Statistics Database (ILMS)

International Labour Migration Statistics Database (ILMS) in ASEAN

Marina Andrade, ILO Consultant

*

APEC Labour Mobility Statistics Forum

2-3 May 2019

Hotel Sheraton Miramar, Viña del Mar, Chile

Page 3: International Labour Migration Statistics Database in ASEANmddb.apec.org/Documents/2019/HRDWG/FOR/19_hrdwg_for1_015.pdf · International Labour Migration Statistics Database (ILMS)

Outline

1. Introduction and key examples of 5-year statistical trends from the ILMS Database in ASEAN

2. Collection and sharing of labour mobility statistics in ASEANa. Scope of the ILMS Database in ASEAN

3. Current ILMS data collection: a. Mapping of data sources and gapsb. Harmonization of labour mobility statisticsc. 2019 ILOSTAT data collection templates for labour

mobility

2

Page 4: International Labour Migration Statistics Database in ASEANmddb.apec.org/Documents/2019/HRDWG/FOR/19_hrdwg_for1_015.pdf · International Labour Migration Statistics Database (ILMS)

Initiative in response to widespread recognition of the need for improved data collection and sharing among the ASEAN community…

“Facilitate data-sharing on matters related to migrant workers, for the purpose of enhancing policies and programmes concerning migrant workers in both sending and receiving states.”

- Cebu Declaration (2007, Article 18)

- ASEAN Socio-Cultural Community Blueprint (2009, Article 28.v)

“… Labour migration will not diminish in the medium term and will probably continue to rise. The ASEAN region can look ahead by developing robust institutions to support labour mobility. This includes […] improvements to labour market information systems that can produce reliable and detailed data to better enumerate, profile and understand migrant stocks and flows.”

- ILO and Asian Development Bank (ADB) (2014, p.83)

“… The ILO will need to reinforce its statistics and knowledge base in respect of migration. That base can then be used as a foundation for improved research and analytical work, which in turn should contribute to improved, evidence-based policy advice.”

- Guy Ryder, ILO Director-General, 2014

3

Page 5: International Labour Migration Statistics Database in ASEANmddb.apec.org/Documents/2019/HRDWG/FOR/19_hrdwg_for1_015.pdf · International Labour Migration Statistics Database (ILMS)

1. Key 5-year statistical trends from the ILMS Database in ASEAN

4

Page 6: International Labour Migration Statistics Database in ASEANmddb.apec.org/Documents/2019/HRDWG/FOR/19_hrdwg_for1_015.pdf · International Labour Migration Statistics Database (ILMS)

Total migrant workers in ASEAN destination countries

(in thousands), 2012-2017*

ASEAN labour receiving countries had increasing numbers of migrant

workers from 2012 to 2017.

Note: *For Brunei, data points used were 2014 and 2017.

Data source: ILMS in ASEAN Database (Brunei: Labour Force Survey 2014 and 2017; Malaysia: Labour Force surveys 2012-2017;

Singapore: Administrative records of the Ministry of Manpower; Thailand: Administrative records of the Office of Foreign Workers

Administration).

0

500

1000

1500

2000

2500

2012 2013 2014 2015 2016 2017

Malaysia

Singapore

Thailand

Brunei Darussalam

Page 7: International Labour Migration Statistics Database in ASEANmddb.apec.org/Documents/2019/HRDWG/FOR/19_hrdwg_for1_015.pdf · International Labour Migration Statistics Database (ILMS)

Labour force in selected ASEAN destination countries

by share of migrant status, 2012 and 2017

In 2017, Brunei Darussalam and

Singapore remained as the

ASEAN countries receiving the

most migrant workers in terms

of share of total labour force.

2012/14 2017

Note: *For Brunei, data points used were 2014 and 2017.

Data source: ILMS in ASEAN Database (Brunei: Labour Force Survey 2014 and 2017;

Malaysia: Labour Force surveys 2012-2017; Singapore: Administrative records of the Ministry

of Manpower)

Citizens

74%

Migrants

26%

Citizens

76%

Migrants

24%

Citizens

63%

Migrants

37% Citizens

58%

Migrants

42%

Citizens

86%

Migrants

14%

Citizens

85%

Migrants

15%

Brunei Darussalam

Singapore

Malaysia

Page 8: International Labour Migration Statistics Database in ASEANmddb.apec.org/Documents/2019/HRDWG/FOR/19_hrdwg_for1_015.pdf · International Labour Migration Statistics Database (ILMS)

Share of migrant labour force in the top ASEAN labour receiving

country by gender and youth status, 2012 and 2017

In Malaysia, the number

of female migrant

workers has increased

1.3 times in the past

five years, and 1.2 times

for males.

Data source: ILMS in ASEAN Database (Malaysia: Labour Force surveys 2012, 2017)

In 2017, women

represented 34 percent

of the youth migrant

labour force in

Malaysia, as compared

to 31 percent in 2012.

0

200

400

600

800

1000

1200

1400

1600

1800

2012 2017

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

2012 2017

Male migrant labourforce

Female migrantlabour force

0

50

100

150

200

250

300

350

400

450

500

2012 2017

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

2012 2017

Youth male migrantlabour force

Youth femalemigrant labour force

Page 9: International Labour Migration Statistics Database in ASEANmddb.apec.org/Documents/2019/HRDWG/FOR/19_hrdwg_for1_015.pdf · International Labour Migration Statistics Database (ILMS)

Share of migrant workers in Malaysia by gender and

level of education, 2007-2016

• Over the last ten years, female migrant workers’ educational attainment in Malaysia

has improved little, but still more than males’.

• From 2012 to 2016, the share of male migrant workers with basic educational

attainment in Malaysia stayed roughly constant, while the one for females decreased

more prominently

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

2007 2008 2009 2010 2011 2012 2013 2014 2015 2016

Male inflow

Basic Intermediate Advanced

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

2007 2008 2009 2010 2011 2012 2013 2014 2015 2016

Female inflow

Basic Intermediate Advanced

Notes: Basic education is defined as International Standard Classification of Education (ISCED 2011) groups 0 (less than primary education), 1 (primary education), and 2

(lower secondary education). Medium education is defined as ISCED groups 3 (upper secondary education), and 4 (post-secondary non-tertiary education). Advanced

education is defined as ISCED groups 5 (short-cycle tertiary education), 6 (bachelor’s or equivalents levels), 7 (master’s or equivalents level), and 8 (doctoral or equivalents

levels). Data source: Labour force survey

Page 10: International Labour Migration Statistics Database in ASEANmddb.apec.org/Documents/2019/HRDWG/FOR/19_hrdwg_for1_015.pdf · International Labour Migration Statistics Database (ILMS)

Share of elementary, medium and high-skilled migrant

workers in Thailand, 2006-2017

The annual shares of registered migrant workers holding jobs classified as

elementary, medium and high-skilled occupations in the total of migrant

workers have remained roughly constant during 2006 to 2017.

Notes: Migrants are defined as registered migrant workers with an employee status. High-skill occupations are: (1) managers, (2) professionals, (3) technicians and associated

professionals; medium-skill (non-manual) occupations are: (4) clerical support workers, and (5) service and sales workers; medium-skill (manual) occupations are: (6) skilled

agricultural, forestry and fishery workers, (7) craft and related trade workers, and (8) plant and machine operators, and assemblers; low-skill occupations are: (9) elementary

occupations.

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017

Low-skilled Medium-skilled (manual) Medium-skilled (non.manual) High-skilled

Data source: ILMS Database

Page 11: International Labour Migration Statistics Database in ASEANmddb.apec.org/Documents/2019/HRDWG/FOR/19_hrdwg_for1_015.pdf · International Labour Migration Statistics Database (ILMS)

Share of women in total outflow of nationals for employment in

ASEAN labour sending countries, 2012 and 2017

• Women’s share in the outflow of nationals for employment increased for all ASEAN

labour sending countries since 2012 (*Philippines data were not available)

• For two of the ASEAN labour sending countries, Indonesia and Lao PDR, women

were the majority of the outflow of nationals in 2017. In 2012, men were still

majority for 4 out of the five countries in the figure.

0%

10%

20%

30%

40%

50%

60%

70%

80%

Indonesia Myanmar Viet Nam Cambodia Lao PDR

2012

2017

Data source: ILMS Database

Page 12: International Labour Migration Statistics Database in ASEANmddb.apec.org/Documents/2019/HRDWG/FOR/19_hrdwg_for1_015.pdf · International Labour Migration Statistics Database (ILMS)

2. Collection and sharing of labourmobility statistics in ASEAN:Scope of the ILMS Database in ASEAN

11

Page 13: International Labour Migration Statistics Database in ASEANmddb.apec.org/Documents/2019/HRDWG/FOR/19_hrdwg_for1_015.pdf · International Labour Migration Statistics Database (ILMS)

The International Labour Migration Statistics (ILMS) Database in ASEAN was launched in order to:

1. Provide an openly-available, relevant, comprehensive and tractable information source to enable evidence-based policymaking on international labour migration in ASEAN.

2. Map the existing data sources countries collect, including their quality, scope, completeness, comparability and possible weaknesses that can be filled through capacity building.

3. To define a set of tables of relevance on international labour migration as a standard reference-point for future data collection and reporting in ASEAN and beyond.

*

12

Page 14: International Labour Migration Statistics Database in ASEANmddb.apec.org/Documents/2019/HRDWG/FOR/19_hrdwg_for1_015.pdf · International Labour Migration Statistics Database (ILMS)

Six rounds of data collection have been conducted so far: 2013, 2014, 2015, 2016, 2017 and 2018. Each dataset is collected for the previous year.

The ILMS Database is available online at:www.ilo.org/ilostat/faces/home/statisticaldata

http://apmigration.ilo.org/asean-labour-migration-statistics

Two reports about the ASEAN regional collection currently accompany this database:

1. Guide on developing an international labour migration statistics database in ASEAN: Towards more effective data collection and sharing (www.ilo.org/asia/whatwedo/publications/WCMS_374212/lang--en/index.htm);

2. Analytical report on the international labour migration statistics database in ASEAN: Improving data collection for evidence-based policy-making (www.ilo.org/asia/whatwedo/publications/WCMS_431613/lang--en/index.htm).

Current status of the ILMS collection

Page 15: International Labour Migration Statistics Database in ASEANmddb.apec.org/Documents/2019/HRDWG/FOR/19_hrdwg_for1_015.pdf · International Labour Migration Statistics Database (ILMS)

10 countries

All available annual data up to 2017

Seeking and collecting exclusively official sources:Labour Force Surveys, Population Censuses, Administrative records (e.g. Civil registers,

records from Ministries, border agencies…), Other surveys (e.g. Economic Censuses, Socio-

Economic Surveys, Migration Surveys…), + Official estimates (where they exist…)

14

Scope of the current data collection

Page 16: International Labour Migration Statistics Database in ASEANmddb.apec.org/Documents/2019/HRDWG/FOR/19_hrdwg_for1_015.pdf · International Labour Migration Statistics Database (ILMS)

MODULE A. International migrant stock Table 1. Resident population by sex, age and labour market status, total & migrants

Table 2. Working age population by sex and education, total & migrantsTable 3. Migrants by country of origin

Table 4. Employed migrants by country of originTable 5. Employed persons by economic activity, total & migrants

Table 6. Employed persons by occupation, total & migrantsTable 7. Employed persons by sex and by status in employment, total & migrants

Table 8. Average monthly employment-related income of employed persons by sex, total & migrants

MODULE B. International migrant flowTable 9. Inflows of migrants by sex and by country of origin

Table 10. Inflows of migrants by sex and educationTable 11. Inflows of employed migrants by economic activity

Table 12. Inflows of employed migrants by occupation

MODULE C. Nationals abroadTable 13. Stock of nationals abroad by sex and country of residence

Table 14. Outflows of nationals by sex and country of destinationTable 15. Outflows of nationals for employment by sex and country of destination

Table 16. Outflows of nationals for employment by sex and educationTable 17. Outflows of nationals for employment by economic activity

Table 18. Outflows of nationals for employment by occupationTable 19. Inflows of return migrants by sex and previous country of residence15

Scope: Tables in the ILMS Database

Page 17: International Labour Migration Statistics Database in ASEANmddb.apec.org/Documents/2019/HRDWG/FOR/19_hrdwg_for1_015.pdf · International Labour Migration Statistics Database (ILMS)

Current ILMS data collection: Mapping of sources and gaps

16

Page 18: International Labour Migration Statistics Database in ASEANmddb.apec.org/Documents/2019/HRDWG/FOR/19_hrdwg_for1_015.pdf · International Labour Migration Statistics Database (ILMS)

Scope of the ILMS data collection

The ILMS Database in ASEAN currently has 19 tables divided into three separate modules:

MODULE A. International migrant stock

MODULE B. International migrant flow

MODULE C. Nationals abroad

17

Figure: Current ILMS data collection (data until 2017), by module and status of tables

61%15%

24%

Module A

Total tables filled (●)

Total potential tables still to be collected (○)

Total tables for which there appears to be no existing data, fully or partially (– or +)

55%

22%

23%

Module B

Total tables filled (●)

Total potential tables still to be collected (○)

Total tables for which there appears to be no existing data, fully or partially (– or +)

29%

12%

59%

Module C

Total tables filled (●)

Total potential tables still to be collected (○)

Total tables for which there appears to be no existing data, fully or partially (– or +)

Page 19: International Labour Migration Statistics Database in ASEANmddb.apec.org/Documents/2019/HRDWG/FOR/19_hrdwg_for1_015.pdf · International Labour Migration Statistics Database (ILMS)

18

ILMS data collection: sharing and gaps

● indicates at least one observation (i.e. one year) has been collected for a given table. ○ indicates that the relevant data appear to exist but could not be accessed or were not shared.– indicates that the relevant data have not been shared or appear not to exist (to the best of our knowledge).

TABLE / MODULE

Bru

nei

Cam

bo

dia

Ind

on

esi

a

Lao

PD

R

Mal

aysi

a

Mya

nm

ar

Ph

ilip

pin

es

Sin

gap

ore

Thai

lan

d

Vie

t N

am

TOTA

L ( ●

)

TOTA

L ( ○)

TOTA

L (–

)

MODULE A.

Table 1 ● ● ● ● ● ● ● ● ● ● 10 0 0

Table 2 ● ● ● - ● - ● - ○ - 5 1 4

Table 3 ● ● ● ● ● ● ● ○ ● - 8 1 1

Table 4 ● ● ● ● ● ○ ● ○ ● - 7 2 1

Table 5 ● ● ● ● ● ○ - ● ● - 7 1 2

Table 6 ● ● ● - ● ○ - ○ ● - 5 2 3

Table 7 ● ● ● - ● ○ - ○ - - 4 2 4

Table 8 ● ● - ○ ● ○ - ○ - - 3 3 4

MODULE B.

Table 9 - ● ● ○ ● ○ ● ○ ● - 5 3 2

Table 10 - ● ● ○ ● ○ ● - ● - 5 2 3

Table 11 - ● ● ○ ● ○ ● - ● ● 6 2 2

Table 12 - ● ● ○ ● ○ ● - ● ● 6 2 2

MODULE C.

Table 13 - ● - - - ● ● ● ● - 5 0 5

Table 14 - - - ○ - - ● - - - 1 1 8

Table 15 - ● ● ● - ● ● - ● ● 7 0 3

Table16 - - ● ○ - - - - ● - 2 1 7

Table 17 - - ● - - - - - - - 1 0 9

Table 18 - - ● - - - ● - ● - 3 0 7

Table 19 - ○ ● ○ ○ ○ ○ ○ ○ - 1 6 2

TOTAL NUMBER OF TABLES COLLECTED BY 2017 (●):

8 14 18 5 12 4 12 3 13 4

TOTAL POTENTIAL TABLES STILL TO BE COLLECTED (○):

0 1 0 8 1 10 1 7 2 0

Total Tables for which there appear to be no existing data

(– OR +):11 4 3 6 6 5 6 9 4 15

48%

16%

36%

Page 20: International Labour Migration Statistics Database in ASEANmddb.apec.org/Documents/2019/HRDWG/FOR/19_hrdwg_for1_015.pdf · International Labour Migration Statistics Database (ILMS)

DATA COLLECTED

Labour Force Surveys and other surveys

19

TABLE / MODULE

Bru

ne

i

Cam

bo

dia

Ind

on

esi

a

Lao

PD

R

Mal

aysi

a

Mya

nm

ar

Ph

ilip

pin

es

Sin

gap

ore

Thai

lan

d

Vie

t N

am

MODULE A. International migrant stock1. Resident population by sex, age and by labour market status2. Working-age population by sex and education3. Migrants by country of origin4. Employed migrants by country of origin5. Employed persons by economic activity6. Employed persons by occupation7. Employed persons by sex and status in employment8. Average monthly wages by sex, total and migrantsMODULE B. International migrant flow9. Inflows of migrants by sex and country of origin10. Inflows of working-age migrants by sex and education11. Inflows of employed migrants by economic activity12. Inflows of employed migrants by occupationMODULE C. Nationals abroad13. Nationals abroad by sex and by country of residence14. Outflows of nationals by sex and by country of destination15. Outflows of nationals for empl. by sex and country of destination16. Outflows of nationals for employment by sex and education17. Outflows of nationals for employment by economic activity18. Outflows of nationals for employment by occupation19. Inflows of return migrants by sex & previous country of residence

NOTES: GREEN indicates at least one observation (i.e. one year) has been collected for a given table. YELLOW indicates that the relevant data exist but could not be collected during the previous round.

‘WHITE’ indicates that the relevant data do not exist/has not been mapped.

Page 21: International Labour Migration Statistics Database in ASEANmddb.apec.org/Documents/2019/HRDWG/FOR/19_hrdwg_for1_015.pdf · International Labour Migration Statistics Database (ILMS)

DATA COLLECTED

Population and Housing Censuses

20

TABLE / MODULE

Bru

ne

i

Cam

bo

dia

Ind

on

esi

a

Lao

PD

R

Mal

aysi

a

Mya

nm

ar

Ph

ilip

pin

es

Sin

gap

ore

Thai

lan

d

Vie

t N

am

MODULE A. International migrant stock1. Resident population by sex, age and by labour market status2. Working-age population by sex and education3. Migrants by country of origin4. Employed migrants by country of origin5. Employed persons by economic activity6. Employed persons by occupation7. Employed persons by sex and status in employment8. Average monthly wages by sex, total and migrantsMODULE B. International migrant flow9. Inflows of migrants by sex and country of origin10. Inflows of working-age migrants by sex and education11. Inflows of employed migrants by economic activity12. Inflows of employed migrants by occupationMODULE C. Nationals abroad13. Nationals abroad by sex and by country of residence14. Outflows of nationals by sex and by country of destination15. Outflows of nationals for empl. by sex and country of destination16. Outflows of nationals for employment by sex and education17. Outflows of nationals for employment by economic activity18. Outflows of nationals for employment by occupation19. Inflows of return migrants by sex & previous country of residence

NOTES: GREEN indicates at least one observation (i.e. one year) has been collected for a given table. YELLOW indicates that the relevant data exist but could not be collected during the previous round.

‘WHITE’ indicates that the relevant data do not exist/has not been mapped.

Page 22: International Labour Migration Statistics Database in ASEANmddb.apec.org/Documents/2019/HRDWG/FOR/19_hrdwg_for1_015.pdf · International Labour Migration Statistics Database (ILMS)

DATA COLLECTED

Administrative Records Data

21

TABLE / MODULE

Bru

ne

i

Cam

bo

dia

Ind

on

esi

a

Lao

PD

R

Mal

aysi

a

Mya

nm

ar

Ph

ilip

pin

es

Sin

gap

ore

Thai

lan

d

Vie

t N

am

MODULE A. International migrant stock1. Resident population by sex, age and by labour market status2. Working-age population by sex and education3. Migrants by country of origin4. Employed migrants by country of origin5. Employed persons by economic activity6. Employed persons by occupation7. Employed persons by sex and status in employment8. Average monthly wages by sex, total and migrantsMODULE B. International migrant flow9. Inflows of migrants by sex and country of origin10. Inflows of working-age migrants by sex and education11. Inflows of employed migrants by economic activity12. Inflows of employed migrants by occupationMODULE C. Nationals abroad13. Nationals abroad by sex and by country of residence14. Outflows of nationals by sex and by country of destination15. Outflows of nationals for empl. by sex and country of destination16. Outflows of nationals for employment by sex and education17. Outflows of nationals for employment by economic activity18. Outflows of nationals for employment by occupation19. Inflows of return migrants by sex & previous country of residence

NOTES: GREEN indicates at least one observation (i.e. one year) has been collected for a given table. YELLOW indicates that the relevant data exist but could not be collected during the previous round.

‘WHITE’ indicates that the relevant data do not exist/has not been mapped.

Page 23: International Labour Migration Statistics Database in ASEANmddb.apec.org/Documents/2019/HRDWG/FOR/19_hrdwg_for1_015.pdf · International Labour Migration Statistics Database (ILMS)

ILMS in ASEAN data collection: Further harmonization steps of labourmobility statistics

22

Page 24: International Labour Migration Statistics Database in ASEANmddb.apec.org/Documents/2019/HRDWG/FOR/19_hrdwg_for1_015.pdf · International Labour Migration Statistics Database (ILMS)

Further data harmonization goals are to ensure standardized classifications and common statistical definitions in all surveys and administrative sources at the national level.

These should cover the main concepts and labour market variables and be based around the latest international standard classifications available on workers’:

Education - International Classification of Education (ISCED)

Economic activity – International Standard Industrial Classification of All Economic Activities (ISIC)

Occupation – International Standard Classification of Occupations (ISCO)

Status in employment – International Classification of Status in Employment (ICSE)

Others

Harmonization ensures that data are comparable and can be aggregated to form regional overviews.

23

Page 25: International Labour Migration Statistics Database in ASEANmddb.apec.org/Documents/2019/HRDWG/FOR/19_hrdwg_for1_015.pdf · International Labour Migration Statistics Database (ILMS)

Tables collect data and metadata on labour migration by definition of international migrants used (i.e.: country of birth or citizenship):

1. Definition of international migrants based on: Country of birth

A. International migrant stockSources and metadata

– Population by sex, age and place of birth (Persons)

– Working-age population by sex, age, labour force status and place of birth

– Working-age population by sex, education and place of birth (Persons)

– Foreign-born population by sex and country of birth (Persons)

– Employed foreign-born persons by sex and country of birth (Persons)

– Employment by sex, economic activity and place of birth (Persons)

– Employment by sex, occupation and place of birth (Persons)

– Employment by sex, status in employment and place of birth (Persons)

– Mean nominal monthly earnings of employees by sex and place of birth (Local currency)

B. International migrant flowSources and metadata

– Inflow of foreign-born population by sex and country of birth (Persons)

– Inflow of foreign-born working-age population by sex and education (Persons)

– Inflow of foreign-born employed persons by sex and economic activity (Persons)

– Inflow of foreign-born employed persons by sex and occupation (Persons)

24

ILOSTAT ILMS data collection templates –2019

Page 26: International Labour Migration Statistics Database in ASEANmddb.apec.org/Documents/2019/HRDWG/FOR/19_hrdwg_for1_015.pdf · International Labour Migration Statistics Database (ILMS)

Tables collect data and metadata on labour migration by definitionof international migrants used (i.e.: country of birth or citizenship):

Definition of international migrants based on: Citizenship

A. International migrant stockSources and metadata

– Population by sex, age and citizenship (Persons)

– Working-age population by sex, age, labour force status, and citizenship (Persons)

– Working-age population by sex, education and citizenship (Persons)

– Non-citizen population by sex and country of citizenship (Persons)

– Employed non-citizens by sex and country of citizenship (Persons)

– Employment by sex, economic activity and citizenship (Persons)

– Employment by sex, occupation and citizenship (Persons)

– Employment by sex, status in employment and citizenship (Persons)

– Mean nominal monthly earnings of employees by sex and citizenship (Local currency)

B. International migrant flowSources and metadata

– Inflow of non-citizens by sex and country of citizenship (Persons)

– Inflow of non-citizens of working age by sex and education (Persons)

– Inflow of employed non-citizens by sex and economic activity (Persons)

– Inflow of employed non-citizens by sex and occupation (Persons)

25

ILOSTAT ILMS data collection templates –2019

Page 27: International Labour Migration Statistics Database in ASEANmddb.apec.org/Documents/2019/HRDWG/FOR/19_hrdwg_for1_015.pdf · International Labour Migration Statistics Database (ILMS)

Tables collect data and metadata on labour migration by definition used (country of birth or citizenship)

C. Nationals abroadSources and metadata

– Stock of nationals abroad by sex and country of residence (Persons)

– Inflow of nationals returned from abroad by sex and country of previous residence (Persons)

– Outflow of nationals by sex and country of destination (Persons)

– Outflow of nationals for employment by sex and country of destination (Persons)

– Outflow of nationals for employment by sex and education (Persons)

– Outflow of nationals for employment by sex and economic activity (Persons)

– Outflow of nationals for employment by sex and occupation (Persons)

26

ILOSTAT ILMS data collection templates –2019

Page 28: International Labour Migration Statistics Database in ASEANmddb.apec.org/Documents/2019/HRDWG/FOR/19_hrdwg_for1_015.pdf · International Labour Migration Statistics Database (ILMS)

27

THANK YOU…Additional questions:[email protected]

[email protected]

APEC Labour Mobility Statistics Forum 2019