ment profile: macedonia (2014)female male primary or lesssecondary or higher primary or...

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Less thanprimary Primary Secondary University 0 20 40 60 80 100 % 36.3 10.4 1.2 3.1 53.0 58.6 47.2 61.6 0.3 7.6 5.5 6.4 10.4 23.4 46.0 28.9 Labor force status by education attainment, not in school, ages 15-29 (%) Graph shows the percentage of youth who are not currently in school, and who are either in salaried employment, non-salaried employment, unem- ployed and looking for work, or not in school and not in the labor force. Status Inactivity Unemployment Employment Salaried employment Youth EducaƟon and Employment Profiles, produced by FHI 360's EducaƟon Policy and Data Center, present educaƟon and employment characterisƟcs of youth across countries. Data are drawn fr omSchool to Work TransiƟon Surveys (SWTS), which were carried out in 32 countries between 2013 and 2015. Funded by the Mastercard FoundaƟon and supported by the InternaƟonal Labour OrganizaƟon (ILO), they paint a comprehensive picture of youth employment, educaƟonal at- tainment, and schooling across countries. These profiles are designed for students, researchers and pracƟƟoners who seek country-level snapshots of youth educa- Ɵon and employment condiƟons, and were developed in consultaƟon with FHI 360 programstaff. The educaƟon and employment categories presented in the profiles are computed by EPDC analysts, and sub-divide employment into salaried and unsalaried, based upon whether respondents report earning a wage. A respondent is considered un- employed if they are not working but are acƟvely seeking work, while they are in- acƟve if they are not in school and not in the labor force. EducaƟon categories are determined based upon a respondent's highest level completed. In some cases, it is necessary to collapse educaƟon levels into binary categories (i.e. lowversus high), based on the distribuƟon of educaƟonal aƩainment within a country. So- cioeconomic status is proxied by parent's educaƟonal aƩainment. This Venn diagramdisplays schooling and employment categories for the populaƟon of 15-29 year olds in the country. The circles showthe total populaƟon for each category, and the overlapping porƟons showthe populaƟon in both categories (for example, both in school and employed). In the upper leŌ hand corner is the percentage of 15-29 year olds who are not in school and not in the labor force. YouthEducationandEmployment Profile: Macedonia (2014)

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Page 1: ment Profile: Macedonia (2014)Female Male Primary or lessSecondary or higher Primary or lessSecondary or higher 0 10 20 30 40 50 60 70 80 90 100 % 32.1 12.2 23.8 25.3 37.0 45.6 7.1

Less than primary Primary Secondary University0

20

40

60

80

100

%

36.3

10.41.23.1

53.0

58.6

47.2

61.6

0.3

7.6

5.5

6.4

10.4

23.4

46.0

28.9

Labor force status by education attainment, not in school, ages 15-29 (%)

Graph shows the percentage of youth who are not currently in school, and who are either in salaried employment, non-salaried employment, unem-ployed and looking for work, or not in school and not in the labor force.

StatusInactivity Unemployment Employment Salaried employment

Youth Educaon and Employment Profiles, produced by FHI 360's Educaon Policyand Data Center, present educaon and employment characteriscs of youthacross countries. Data are drawn from School to Work Transion Surveys (SWTS),which were carried out in 32 countries between 2013 and 2015. Funded by theMastercard Foundaon and supported by the Internaonal Labour Organizaon(ILO), they paint a comprehensive picture of youth employment, educaonal at-tainment, and schooling across countries. These profiles are designed for students,researchers and prac oners who seek country-level snapshots of youth educa-on and employment condions, and were developed in consultaon with FHI 360program staff. The educaon and employment categories presented in the profiles are computedby EPDC analysts, and sub-divide employment into salaried and unsalaried, basedupon whether respondents report earning a wage. A respondent is considered un-employed if they are not working but are acvely seeking work, while they are in-acve if they are not in school and not in the labor force. Educaon categories aredetermined based upon a respondent's highest level completed. In some cases, itis necessary to collapse educaon levels into binary categories (i.e. low versushigh), based on the distribuon of educaonal aainment within a country. So-cioeconomic status is proxied by parent's educaonal aainment.

This Venn diagram displays schooling and employment categoriesfor the populaon of 15-29 year olds in the country. The circlesshow the total populaon for each category, and the overlappingporons show the populaon in both categories (for example,both in school and employed). In the upper le hand corner is thepercentage of 15-29 year olds who are not in school and not in

the labor force.

Youth Education and Employment Profile: Macedonia (2014)

Page 2: ment Profile: Macedonia (2014)Female Male Primary or lessSecondary or higher Primary or lessSecondary or higher 0 10 20 30 40 50 60 70 80 90 100 % 32.1 12.2 23.8 25.3 37.0 45.6 7.1

Education

0 10 20 30 40 50Months

Primary

Secondary

University

44

12

3

Transion length in months, by educaon aainment (#)

Length of me in months between finishing school and starng first job. Those who started first job beforefinishing schooling are excluded from the calculaon.

Age

17 18 19 20 21 22 23 24 25 26 27 28 29

0

100

200

300

400

500

600

700

800

900

1000

Median Monthly Wage (Converted to 2013 USD PPP)

Earnings by age and educaon aainment (2013 USD PPP) ($)

Graph shows the median monthly wage in 2013 US Dollars (PPP) by single year ages, for different levels of educaon. Note that single-age esmates may lack precision.

Dominican Republic16.1

Bangladesh34.6

El Salvador33.2

Kyrgyzstan15.5

Macedonia30.4

Palestine32.8

Moldova28.4

Armenia31.1

Tunisia32.3

Nepal9.6

Egypt30.1

Youth ages 15-29 not in educaon or employment (%)

Map shows countries shaded by the percentage of youth who are neither in educaon nor em-ployed, with darker areas indicang a higher percentage. Note that data availability is restrictedto countries that parcipated in the ILO's SWTS program, and have comparable data.

5.7 43.5Value

EducationSecondary or below University

Page 3: ment Profile: Macedonia (2014)Female Male Primary or lessSecondary or higher Primary or lessSecondary or higher 0 10 20 30 40 50 60 70 80 90 100 % 32.1 12.2 23.8 25.3 37.0 45.6 7.1

Female Male

Primary or less Secondary orhigher

Primary or less Secondary orhigher

0

10

20

30

40

50

60

70

80

90

100

%

32.1

12.2

23.8

25.3

37.0

45.6

7.116.9

30.5

2.2

23.8

6.0

30.9

18.4

14.8

73.4

Labor force status by educaon aainment and gender,not in school, ages 15-29 (%)

Graph shows the percentage of youth who are not currently in school, andwho are either in salaried employment, non-salaried employment, unem-ployed and looking for work, or inacve and not in the labor force.

Sex Education0 10 20 30 40 50

0 10 20 30 40 50Months

Female Primary orless

Secondaryor higher

Male Primary orless

Secondaryor higher

41

11

50

7

Transion length in months, by educaon aainment andgender (#)

Length of me in months between finishing school and starng first job. Thosewho started first job before finishing schooling are excluded from the calculaon.

StatusInactivityUnemployment

EmploymentSalaried employment

Age

17 18 19 20 21 22 23 24 25 26 27 28 290

200

400

600

800

1000

1200

1400

1600

Median Monthly Wage (Converted to 2013 USD PPP)

Earnings by age and educaon aainment, Female

Graph shows the median monthly wage in 2013 US Dollars (PPP) by single yearages, for different levels of educaon. Note that single-age esmates may lackprecision.

EducationSecondary or below University

Gender

Age

17 18 19 20 21 22 23 24 25 26 27 28 290

200

400

600

800

1000

1200

1400

1600

Earnings by age and educaon aainment, Male

Graph shows the median monthly wage in 2013 US Dollars (PPP) by single yearages, for different levels of educaon. Note that single-age esmates may lack pre-cision.

EducationSecondary or below University

Page 4: ment Profile: Macedonia (2014)Female Male Primary or lessSecondary or higher Primary or lessSecondary or higher 0 10 20 30 40 50 60 70 80 90 100 % 32.1 12.2 23.8 25.3 37.0 45.6 7.1

Low SES High SES

Primary or less Secondary or higherSecondary or higher0

20

40

60

80

100

%

24.2

5.8

22.1

13.3

38.2

29.4

15.6

51.4

38.5

24.2

31.9

5.4

Labor force status by educaon aainment and SES, notin school, ages 15-29 (%)

Graph shows the percentage of youth who are not currently in school, and whoare either in salaried employment, non-salaried employment, unemployed andlooking for work, or inacve and not in the labor force. Socioeconomic status isproxied by parent's educaonal level, and is dependent upon the distribuonof parent's educaonal aainment within the country.

SESRespondenteducation

0 10 20 30

0 10 20 30 40

Months

Low SES Primary orless

Secondaryor higher

High SES Secondaryor higher

37

9

9

Transion length in months, by educaon aainmentand SES (#)

Length of me in months between finishing school and starng first job. Thosewho started first job before finishing schooling are excluded from the calculaon.

StatusInactivityUnemployment

EmploymentSalaried employment

Age

18 19 20 21 22 23 24 25 26 27 28 29

0

200

400

600

800

1000

1200

1400

1600

Median Monthly Wage (Converted to 2013 USD PPP)

Earnings by age, and educaon aainment, Low SES

Graph shows the median monthly wage in 2013 US Dollars (PPP) by single yearages, for different levels of educaon. Note that single-age esmates may lackprecision.

EducationSecondary or below University

Socioeconomic Status

Age

17 18 19 20 21 22 23 24 25 26 27 28 29

0

200

400

600

800

1000

1200

1400

1600

Earnings by age and educaon aainment, High SES

Graph shows the median monthly wage in 2013 US Dollars (PPP) by single yearages, for different levels of educaon. Note that single-age esmates may lackprecision.

EducationSecondary or below University