Educational attainment and labour market outcomes by skills

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Database Specific

Database Specific

Abstract

Abstract

The data presented in this table are addressing educational attainment and labour market outcomes by skills by looking at the following indicators based on the Survey of Adult Skills (PIAAC): earnings by educational attainment and proficiency level (in USD); educational attainment and literacy scores, by occupation; share of population and employment rates by fields of education; frequency of use of ICT at work by educational attainment; employment/unemployment/inactivity rates by educational attainment and proficiency level; NEETs by literacy proficiency level and mean score; proficiency, use and need of ICT at work by main industry.

Data Characteristics

Data Characteristics

Contact person

Contact person

Other data characteristics

Other data characteristics

Further detail as to the methodology used during the data collection for each indicator, the references to the sources and the specific notes for each country are available in:

Concepts & Classifications

Concepts & Classifications

Classification(s) used

Classification(s) used

Key statistical concept

Key statistical concept

Key statistical concepts, definitions and methodologies underlying the indicators are available in the:

Other manipulations

Other manipulations

Data are not diplayed when the sample size for numerator is below 3 and when the sample size for denominator is below 30.

Other Aspects

Other Aspects

Other comments

Other comments

Quality comments

Quality comments

When interpreting the results and the differences between groups a special attention should be given to the standard errors and the confidence interval.

Recommended uses and limitations

Recommended uses and limitations

The statistical estimates presented in this table are based on samples of adults, rather than values that could be calculated if every person in the target population in every country had answered every question. Therefore, each estimate has a degree of uncertainty associated with sampling and measurement error, which can be expressed as a standard error. The use of confidence intervals provides a way to make inferences about the population means and proportions in a manner that reflects the uncertainty associated with the sample estimates. In this table, there is one column with the heading “Value”, which indicates the average percentage or mean, and a column with the heading “SE”, which indicates the standard error. Given the survey method, there is a sampling uncertainty in the percentages or means of twice the standard error. For example, for the values: % = 10 and S.E. = 2.6, 10% has an uncertainty zone of twice (1.96) the standard error of 2.6, assuming an error risk of 5%. Thus, the true percentage would probably (error risk of 5%) be somewhere between 5% and 15% (“confidence interval”). The confidence interval is calculated as: % +/– 1.96 * S.E., i.e. for the previous example, 5% = 10% – 1.96 * 2.6 and 15% = 10% + 1.96 * 2.6.

The data presented in this table are addressing educational attainment and labour market outcomes by skills by looking at the following indicators based on the Survey of Adult Skills (PIAAC): earnings by educational attainment and proficiency level (in USD); educational attainment and literacy scores, by occupation; share of population and employment rates by fields of education; frequency of use of ICT at work by educational attainment; employment/unemployment/inactivity rates by educational attainment and proficiency level; NEETs by literacy proficiency level and mean score; proficiency, use and need of ICT at work by main industry.

Data are coming from the Survey of Adult Skills, a product of the OECD Programme for the International Assessment of Adult Competencies (PIAAC)

markus.schwabe@oecd.org - Simon.Normandeau@oecd.org or click:

Further detail as to the methodology used during the data collection for each indicator, the references to the sources and the specific notes for each country are available in:

Key statistical concepts, definitions and methodologies underlying the indicators are available in the:

Detailed presentation and explanation of the ISCED 2011 classification is available in :

Data are not diplayed when the sample size for numerator is below 3 and when the sample size for denominator is below 30.

The statistical estimates presented in this table are based on samples of adults, rather than values that could be calculated if every person in the target population in every country had answered every question. Therefore, each estimate has a degree of uncertainty associated with sampling and measurement error, which can be expressed as a standard error. The use of confidence intervals provides a way to make inferences about the population means and proportions in a manner that reflects the uncertainty associated with the sample estimates. In this table, there is one column with the heading “Value”, which indicates the average percentage or mean, and a column with the heading “SE”, which indicates the standard error. Given the survey method, there is a sampling uncertainty in the percentages or means of twice the standard error. For example, for the values: % = 10 and S.E. = 2.6, 10% has an uncertainty zone of twice (1.96) the standard error of 2.6, assuming an error risk of 5%. Thus, the true percentage would probably (error risk of 5%) be somewhere between 5% and 15% (“confidence interval”). The confidence interval is calculated as: % +/– 1.96 * S.E., i.e. for the previous example, 5% = 10% – 1.96 * 2.6 and 15% = 10% + 1.96 * 2.6.

When interpreting the results and the differences between groups a special attention should be given to the standard errors and the confidence interval.

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