Structure of earnings survey - main indicators (earn_ses_main)

Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Eurostat, the statistical office of the European Union


Eurostat metadata
Reference metadata
1. Contact
2. Metadata update
3. Statistical presentation
4. Unit of measure
5. Reference Period
6. Institutional Mandate
7. Confidentiality
8. Release policy
9. Frequency of dissemination
10. Accessibility and clarity
11. Quality management
12. Relevance
13. Accuracy
14. Timeliness and punctuality
15. Coherence and comparability
16. Cost and Burden
17. Data revision
18. Statistical processing
19. Comment
Related Metadata
Annexes (including footnotes)



For any question on data and metadata, please contact: EUROPEAN STATISTICAL DATA SUPPORT

Download


1. Contact Top
1.1. Contact organisation

Eurostat, the statistical office of the European Union

1.2. Contact organisation unit

Directorate F : Social statistics

Unit F.3 : Labour market and lifelong learning

1.5. Contact mail address

BECH - 5, rue A. Weicker

L-2721 Luxembourg

LUXEMBOURG


2. Metadata update Top
2.1. Metadata last certified 25/08/2016
2.2. Metadata last posted 25/08/2016
2.3. Metadata last update 04/10/2017


3. Statistical presentation Top
3.1. Data description

The Structure of Earnings Survey (SES) provides EU-wide harmonised structural data on gross earnings, hours paid and annual days of paid holiday leave, which are collected every four years under Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, and Commission Regulation (EC) No 1738/2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings. The objective of this legislation is to provide accurate and harmonised data on earnings in EU Member States and other countries for policy-making and research purposes.

The SES provides detailed and comparable information on the relationships between the level of hourly, monthly and annual remuneration, personal characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and economic control of the enterprise).

Unlike the other Structure of Earnings Survey tables, this dataset presents the main indicators of the several vintages of SES (SES2002 / SES2006 / SES2010 / SES2014) merged into one table. 

3.2. Classification system

The "economic activity" is coded in NACE Rev. 2 (General industrial classification of economic activities within the European Communities) whereas the "occupation" is coded according to the Commission Recommendation of 29 October 2009 on the use of the International Standard Classification of Occupations (ISCO-08).

Information on worktime is presented for all employees (total), full-time, part-time (unadjusted), part-time employees (adjusted, i.e. converted in full-time units) as well as total employees in full-time units.

Data is also available split by sex (males and females) and 10-year age groups from less than 30 years to more than 60 years.

3.3. Coverage - sector

The economic activities covered in these datasets refer to NACE Rev. 2 aggregates B to S excluding O, B to F, G to N and P to S (respectively NACE Rev.1.1 C to O excluding L, C to F, G to K and M to O for reference years 2002 and 2006).

3.4. Statistical concepts and definitions

Employees are all persons who have a direct employment contract with the enterprise or local unit and receive remuneration, irrespective of the type of work performed, the number of hours worked (full or part-time) and the duration of their contract (fixed or indefinite).

Low-wage earners are defined as those employees (excluding apprentices) earning two-thirds or less of the national median gross hourly earnings in that particular country.

Median earnings” is defined so that half of the population earns less than this value and the other half earns more.

The main indicators presented in these merged datasets are split into 3 main subsets containing:

- Hourly gross earnings are defined as gross earnings in the reference month divided by the number of hours paid during the same period. Number of hours paid includes all normal and overtime hours worked and remunerated by the employer during the reference month. Hours not worked but nevertheless paid are counted as 'paid hours' (e.g. for annual leave, public holidays, paid sick leave, paid vocational training, paid special leave, etc.).

- Monthly gross earnings in the reference month cover remuneration in cash paid before any tax deductions and social security contributions payable by wage earners and retained by the employer, and are restricted to gross earnings which are paid in each pay period during the reference month.

- Annual gross earnings also cover 'non-standard payments', i.e. payments not occurring in each pay period, such as: 13th or 14th month payments, holiday bonuses, quarterly or annual company bonuses and annual payments in kind. In the case of employees not having worked the whole year, annual data is adjusted to 52.14 weeks in order to account for earnings on an annual basis. On the other hand, employees working less than 30 weeks in a year are not taken into account in the calculation of annual earnings.

Part-timers are adjusted into full-time units (FTU) using variable B271, which record represents the share (in percentage) of a full-timer’s normal hours.

3.5. Statistical unit

The compilation of structural statistics on earnings is based on local units and enterprises, as defined in Council Regulation (EEC) No 696/93, and provides information on employees in enterprises with 10 or more employees classified by size and economic activity.

3.6. Statistical population

The statistics refer to enterprises with at least 10 employees in the areas of economic activities defined by NACE Rev. 2 sections B to S excluding O.

3.7. Reference area

The data cover EU-Member States, Candidate Countries and European Free Trade Association (EFTA) countries.

3.8. Coverage - Time

2002, 2006, 2010 and 2014.

3.9. Base period

Not applicable.


4. Unit of measure Top

Euro (EUR), Purchasing Power Standard (PPS), percentage, number of employees and number of local units, monthly hours paid and annual days of holiday leave.


5. Reference Period Top

The reference year is equal to the calendar year and the reference month is October for the majority of the countries. The choice of another month is accepted as long as the month is justified by the country to be representative.

Refer to national quality reports in respective reference year metadata for further details.


6. Institutional Mandate Top
6.1. Institutional Mandate - legal acts and other agreements

Council Regulation (EC) No 530/1999 of 9 March 1999 concerning structural statistics on earnings and on labour costs;

Commission Regulation (EC) No 1738/2005 of 21 October 2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings;

Commission Regulation (EC) No 698/2006 of 5 May 2006 implementing Council Regulation (EC) No 530/1999 as regards quality evaluation of structural statistics on labour costs and earnings.

6.2. Institutional Mandate - data sharing

Not applicable.


7. Confidentiality Top
7.1. Confidentiality - policy

Regulation (EC) No 223/2009 on European statistics (recital 24 and Article 20(4)) of 11 March 2009 (OJ L 87, p. 164), stipulates the need to establish common principles and guidelines ensuring the confidentiality of data used for the production of European statistics and the access to those confidential data with due account for technical developments and the requirements of users in a democratic society.

7.2. Confidentiality - data treatment

In the SES, information about individual entities (employees and enterprises) is collected. The safety of these microdata has to be guaranteed to make sure that individual entities cannot be recognised through inspection of released data. The goal of disclosure control is to disseminate statistical information in such a way that individual information is sufficiently protected against recognition of the subjects to which it refers, while at the same time providing as much information as possible.

Only tabular data have therefore been published. In order to limit the disclosure risk of these tables the following measures have been applied:

  • Economic activity: restricted to NACE Rev. 2 aggregates;
  • Age: restricted to 5 size classes (<30 years, 30-39, 40-49, 50-59 and, 60+ years);
  • Occupation: published at ISCO-08, one digit level.

The anonymisation method consists of two primary confidentiality rules; minimum frequency rule and dominance rule. Secondary confidentiality rules are applied as additional protection to protect data from recalculation.


8. Release policy Top
8.1. Release calendar

Not applicable.

8.2. Release calendar access

Not applicable.

8.3. Release policy - user access

In line with the Community legal framework and the European Statistics Code of Practice Eurostat disseminates European statistics on Eurostat's website (see item 10 - 'Accessibility and clarity') respecting professional independence and in an objective, professional and transparent manner in which all users are treated equitably.


9. Frequency of dissemination Top

Four-yearly.


10. Accessibility and clarity Top
10.1. Dissemination format - News release

News releases on-line.

10.2. Dissemination format - Publications

See Eurostat website.

10.3. Dissemination format - online database

Please consult free data on-line or refer to contact details.

10.4. Dissemination format - microdata access

The conditions for SES microdata access are stated in the Commission Regulation (EC) No 557/2013 concerning access to confidential data for scientific purposes. For details see Access to microdata.

10.5. Dissemination format - other

Not applicable.

10.6. Documentation on methodology

See Eurostat’s arrangements for implementing the Council Regulation 530/1999, the Commission Regulations 1916/2000 and 1738/2005 for the respective reference year’s metadata.

Information is also available on CIRCABC library.

10.7. Quality management - documentation

For the national quality reports, refer to the respective reference year’s metadata and on CIRCABC library.


11. Quality management Top
11.1. Quality assurance

According to Regulation (EC) 530/1999 national authorities shall ensure that the results reflect the true situation of the total population of units with a sufficient degree of representativity. National authorities are therefore obliged to provide a Quality Report containing all relevant information to enable the quality of the statistics to be evaluated.

11.2. Quality management - assessment

A compulsory quality report from each Member State for each reference year is collected by Eurostat.

Refer to CIRCABC library for further details by respective reference year.


12. Relevance Top
12.1. Relevance - User Needs

Among others, the most important and frequent users of SES are mainly; research centres, universities and students, the media, social partners and trade unions, private companies, national public institutions as well as international institutions.

The large sample size of the SES makes it a unique source of information in which individual earnings can be linked with the characteristics of individual employees (sex, age, education level etc.) as well as to the characteristics of the enterprise they work for (economic sector, size of the enterprise, location etc.).

12.2. Relevance - User Satisfaction

Not available.

12.3. Completeness

Not applicable.


13. Accuracy Top
13.1. Accuracy - overall

A two-stage stratified sample technique is adopted; first a random sample of enterprises / local units, followed by a sample of employees within the selected enterprise / local unit.

For further details refer to the national quality reports for the respective reference year on CIRCABC library.

13.2. Sampling error

Refer to the national quality reports for the respective reference year on CIRCABC library.

13.3. Non-sampling error

Refer to the national quality reports for the respective reference year on CIRCABC library.


14. Timeliness and punctuality Top
14.1. Timeliness

Refer to the national quality reports for the respective reference year on CIRCABC library.

14.2. Punctuality

Refer to the national quality reports for the respective reference year on CIRCABC library.


15. Coherence and comparability Top
15.1. Comparability - geographical

Comparability of the SES data across national borders may be affected by the use of different observation units and definitions, methods or classification schemes.

For further details refer to the national quality reports for the respective reference year on CIRCABC library.

15.2. Comparability - over time

Comparability over time may be affected by new definitions and classifications used in the coding of SES data. Nonetheless, the classifications used in these joint datasets refer to aggregated data, grouping more or less the same classifications (NACE and ISCO) over time.

Data comparability may also be hampered due to methodological changes adopted at national level from one vintage to another. This may also have an impact on EU figures, in particular when major changes are adopted in countries with higher number of workers (due to a higher weight in EU aggregation).

In particular, SES data on total number of employees, hours paid and earnings for part-time employees and total employees (i.e. including part-timers) for Germany are not comparable between 2010 and 2014 due to methodological improvements applied as from 2014. These include: covering employees working in local units with less than 10 employees, marginal jobs, and the change from Horvitz-Thompson to General Regression Estimation for the grossing-up procedures. 

For further details please refer to the national quality reports for the respective reference year on CIRCABC library.

15.3. Coherence - cross domain

Refer to the national quality reports for the respective reference year on CIRCABC library.

15.4. Coherence - internal

Refer to the national quality reports for the respective reference year on CIRCABC library.


16. Cost and Burden Top

Not available.


17. Data revision Top
17.1. Data revision - policy

Apart from adjustments following internal checks, the data are accepted directly as communicated by the Member States. Revisions only occur rarely.

17.2. Data revision - practice

If necessary, after running a series of data validation checks, countries are asked to revise their data until it is considered fit for publishing.


18. Statistical processing Top
18.1. Source data

The data collection for the SES can be obtained from 'tailor-made' questionnaires, existing surveys, administrative data or a combination of such sources, which provide the equivalent information. While accepting a degree of flexibility in the means employed for collecting the survey data, the information obtained must be of acceptable quality and be comparable between European countries.

18.2. Frequency of data collection

Four-yearly.

18.3. Data collection

The national surveys were generally conducted on the basis of a two-stage random sampling approach of enterprises or local units (first stage) and employees (second stage).

18.4. Data validation

Data validation consists of global checks and plausibility checks. Global checks are necessary to ensure that complete data is received for microdata records whereas plausibility checks on all variables were done to ensure that the data are reasonable and consistent with other SES variables. Possible deviations are reported by countries in their national Quality Report (for further detailed, refer to the countries’ metadata in the respective reference year’s link).

18.5. Data compilation

Not available.

18.6. Adjustment

Refer to Section 3 above.


19. Comment Top

Not available.


Related metadata Top


Annexes Top
Synthesis of SES2010 Quality Reports
Synthesis of SES2006 Quality Reports
SES 2014 Synthesis of national quality reports