the overview of data availability: enpi east and central asia

The Overview of Data Availability: ENPI East and Central Asia

STRUCTURE

1.The assessment of data availability for Torino Process 2010

2.Data availability for Torino Process 2012 (the assessment of countries’ feedbacks)

3. Conclusion

DATA COLLECTION – TORINO PROCESS 2010

Extended list of indicators↓

ETF gathered the data in the following order:

1. International sources (UNESCO, World Bank,…)

2. National (publicly available) sources (LFS, educational data,…)

3. Requests to countries to provide data if not found in step 1 and 2


3 groups of indicators:

• Data on labour market performance (incl. administrative data from public employment services)

• Education data (with special focus on VET)

• Socio-economic data and international indexes


We can distinguish between 3 levels of precision:

• Exact indicators• Partial indicators• Proxy indicators

Indicator By AM AZ BY GE MD RU UA

ACTIVITY RATE

Gender

Age

Education

EMPLOYMENT RATE

Gender

Age

Education

UNEMPLOYMENT RATE

Gender

Age

Education

Table 1. Coverage of indicators in ENPI EAST – LABOUR MARKET

Green = indicator available; Yellow = proxy/partial indicator available; Red = missing data.

Indicator By KZ KG TJ TM UZ

ACTIVITY RATE

Gender

Age

Education

EMPLOYMENT RATE

Gender

Age

Education

UNEMPLOYMENT RATE

Gender

Age

Education

Table 2. Coverage of indicators in DCI – LABOUR MARKET



EXPENDITURE ON ALMPs as % of GDP

% of REGISTERED UNEMPLOYED COVERED BY ALMPs

REGISTERED UNEMPLOYED POPULATION

Gender

Age

Education

NUMBER OF STAFF IN PESs

NUMBER OF VACANCIES

Table 3. Coverage of indicators in ENPI EAST – PUBLIC EMPLOYMENT SERVICES



EXPENDITURE ON ALMPs as % of GDP

% of REGISTERED UNEMPLOYED COVERED BY ALMPs

REGISTERED UNEMPLOYED POPULATION

Gender

Age

Education

NUMBER OF STAFF IN PESs

NUMBER OF VACANCIES

Table 4. Coverage of indicators in DCI – PUBLIC EMPLOYMENT SERVICES



EDUCATIONAL ATTAINMENT

Gender and Age

Rural/Urban settlement

Income groups

LITERACY RATE Gender

PARTICIPATION IN LIFELONG LEARNING

Educational level

Gender

N. OF STUDENTS/PUPILS ENROLLED BY EDUCATIONAL LEVEL,

PROGRAMME AND GENDER

PRIVATE EDUCATION AS % OF TOTAL BY EDUCATIONAL LEVEL/PROGRAMME

GROSS ENROLMENT

RATES

Educational level and gender

Educational programme

Table 5. Coverage of indicators in ENPI EAST – EDUCATION: ATTAINMENT AND ENROLMENT



EDUCATIONAL ATTAINMENT

Gender and Age

Rural/Urban settlement

Income groups

LITERACY RATE Gender

PARTICIPATION IN LIFELONG LEARNING

Educational level

Gender

N. OF STUDENTS/PUPILS ENROLLED BY EDUCATIONAL LEVEL,

PROGRAMME AND GENDER

PRIVATE EDUCATION AS % OF TOTAL BY EDUCATIONAL LEVEL/PROGRAMME

GROSS ENROLMENT

RATES

Educational level and gender

Educational programme

Table 6. Coverage of indicators in DCI– EDUCATION: ATTAINMENT AND ENROLMENT


Indicator AM AZ BY GE MD RU UA

PARTICIPATION IN VET IN % BY FIELD OF STUDY

% OF APPRENTICES IN THE VET SYSTEM BY GENDER AND

EDUCATIONAL LEVEL

DROP-OUT RATES IN UPPER SECONDARY BY GENDER

GROSS COMPLETION RATE BY EDUCATIONAL LEVEL AND

PROGRAMME

% OF VET PUPILS WHO CONTINUE TO HIGHER LEVELS OF EDUCATION

GRADUATES IN MATHEMATICS, SCIENCE AND TECHNOLOGY AS % OF

TOTAL GRADUATES

Table 7. Coverage of indicators in ENPI EAST – EDUCATION: ATTAINMENT AND ENROLMENT


Indicator KZ KG TJ TM UZ

PARTICIPATION IN VET IN % BY FIELD OF STUDY

% OF APPRENTICES IN THE VET SYSTEM BY GENDER AND

EDUCATIONAL LEVEL

DROP-OUT RATES IN UPPER SECONDARY BY GENDER

GROSS COMPLETION RATE BY EDUCATIONAL LEVEL AND

PROGRAMME

% OF VET PUPILS WHO CONTINUE TO HIGHER LEVELS OF EDUCATION

GRADUATES IN MATHEMATICS, SCIENCE AND TECHNOLOGY AS % OF

TOTAL GRADUATES

Table 8. Coverage of indicators in DCI – EDUCATION: ATTAINMENT AND ENROLMENT


Indicator As AM AZ BY GE MD RU UA

PUBLIC EXPENDITURE

ON EDUCATION BY EDUCATIONAL

LEVEL AND PROGRAMME

% of GDP

% of Public Expenditure

% of Total educational expenditure

COST FOR PUPIL BY PROGRAMME IN ISCED 3

STUDENT/TEACHER RATIOS BY EDUCATIONAL LEVEL AND

PROGRAMME

SHARE OF TEACHERS IN TEACHER TRAINING PER YEAR BY GENDER (%)

TEACHER SALARIES AS % OF AVERAGE WAGE

Table 9. Coverage of indicators in ENPI EAST – EDUCATION: EXPENDITURE AND TEACHERS


Indicator As KZ KG TJ TM UZ

PUBLIC EXPENDITURE

ON EDUCATION BY EDUCATIONAL

LEVEL AND PROGRAMME

% of GDP

% of Public Expenditure

% of Total educational expenditure

COST FOR PUPIL BY PROGRAMME IN ISCED 3

STUDENT/TEACHER RATIOS BY EDUCATIONAL LEVEL AND

PROGRAMME

SHARE OF TEACHERS IN TEACHER TRAINING PER YEAR BY GENDER (%)

TEACHER SALARIES AS % OF AVERAGE WAGE

Table 10. Coverage of indicators in DCI – EDUCATION: EXPENDITURE AND TEACHERS


Indicator AM AZ BY GE MD RU UA

GDP BY ECONOMIC SECTOR (%)

GDP PER CAPITA in PPP

DEPENDENCY RATES (%)

MEAN SCORE OF STUDENT PERFORMANCE ON THE READING

SCALE (PISA)

HUMAN DEVELOPMENT INDEX

GLOBAL COMPETITIVENESS INDEX

DOING BUSINESS INDEX

Table 11. Coverage of indicators in ENPI EAST – SOCIOECONOMIC CONTEXT


Indicator KZ KG TJ TM UZ

GDP BY ECONOMIC SECTOR (%)

GDP PER CAPITA in PPP

DEPENDENCY RATES (%)

MEAN SCORE OF STUDENT PERFORMANCE ON THE READING

SCALE (PISA)

HUMAN DEVELOPMENT INDEX

GLOBAL COMPETITIVENESS INDEX

DOING BUSINESS INDEX

Table 12. Coverage of indicators in DCI – SOCIOECONOMIC CONTEXT



ENPI East• High data coverage in case of labour market

and socio-economic indicators

• Some gaps in case of education data - especially VET and adult learning

• Comparability issues raised a) the reference population used in case of

labour market indicators b) the compliance of education levels with

ISCED classification


Central Asia• A rather limited coverage in case of labour

market and education data

• Available data often do not provide detailed information, in particular in the field of VET and adult education

• Comparability issues raised - compliance of educational levels with ISCED classification

TORINO PROCESS 2012 – statistical component

Goals:

• ETF statistical team has collected a restricted list of indicators with basic data on labour market, education and socio-economic context

• To reflect the ‘real’ data availability and gaps

• To reflect on ‘how’ to overcome the gaps and enhance mutual learning and cooperation

TORINO PROCESS 2012 – feedback from countries – Armenia

STRONG POINTS

• During TP 2010 and 2012 data collections, detailed and updated data on labour market were received.

OPPORTUNITIES• According to the country’s feedback – detailed

education data available from the Statistical Service and Ministry of Education (incl. drop out rates, no. of VET students, expenditure on education etc.).

TORINO PROCESS 2012 – feedback from countries – Ukraine

STRONG POINTS

• During TP 2010 and 2012 data collections, detailed data on labour market were found (no significant gaps).

OPPORTUNITIES• According to the country feedback – strong coverage

of labour market indicators confirmed as well as additional education data identified.

TORINO PROCESS 2012 – feedback from countries – Belarus

STRONG POINTS

• During TP 2010 and 2012 data collections, a good coverage of labour market data (limited to administrative data only) and of basic education data were obtained.

• The overview of data availability received from the country confirms such a panorama.

TORINO PROCESS 2012 – feedback from countries – Kazakhstan

STRONG POINTS

• During TP 2010 and 2012 data collections, we obtained a good coverage of labour market data (no significant gaps) and of basic education data (gaps identified in case of information requiring further details, especially by programme).


TORINO PROCESS 2012 – feedback from countries – Kyrgyzstan

STRONG POINTS

• During TP 2010 and 2012 data collections, detailed data on labour market indicators found, while several gaps for education data were identified, when going into detail.


TORINO PROCESS 2012 – feedback from countries – Tajikistan

STRONG POINTS

• During the TP 2010 and 2012 data collections, detailed information on labour market (limited by the LFS availability) and basic education data were identified.

• The overview of data availability received from the country confirms the good coverage of labour market data as well as a weaker coverage of different education indicators .

TORINO PROCESS 2012 – feedback from countries – Uzbekistan

STRONG POINTS

• During the TP 2010 and 2012 data collections, basic information on labour market and education were found.

• The overview of data availability received from the country confirms such a panorama and points also to the availability of updated data (in comparison to the findings of Torino Process 2010).

CONCLUSION

• More data available than reflected in Torino Process 2010, in particular in the field of education (especially in ENPI east)

• Gaps still exist – especially for detailed data on education by programme as well as adult education

• Comparability issues – different education classifications are used, and also the age brackets for the employed populations differ.

CONCLUSION – remaining questions

• How to improve the data availability?

• How can the education data which exist in the countries be better used?

• How to improve the data sharing among institutions?

• How to learn from each other and cooperate with regard to the data availability?

the overview of data availability: enpi east and central asia

Documents

missing data

educational data

indicator available

administrative data

overview of data availability

coverage of indicators

vetsocioeconomic data

available sources lfs