- Data from December 2016. Most recent data: Further Eurostat information, Main tables and Database. Next update of the article December 2020
This article analyses the results of the four-yearly structure of earnings survey (SES) that provides comparable in-depth information at European Union (EU) level on the link between the level of earnings and the individual characteristics of employees (sex, age, occupation, educational level) and their employer (economic activity, size of the enterprise, etc.).
The SES is a large enterprise survey providing detailed information on the structure and distribution of earnings in the EU. The SES is important in compiling other structural indicators such as the gender pay gap, the low-wage trap or the unemployment trap.
The figures below, based on the latest vintage of the SES, relate to October 2014. Data on low-wage earners as well as corresponding median gross hourly earnings refer to all employees (excluding apprentices) working in enterprises with 10 employees or more and which operate in all sectors of the economy except agriculture, forestry and fishing (NACE Rev. 2 section A) and public administration and defence; compulsory social security (NACE Rev. 2 section O). Gross hourly earnings refer to the wages and salaries earned by full-time and part-time employees, per hour paid, in the reference month (generally October 2014) before any tax and social security contributions are deducted. Wages and salaries include any overtime pay, shift premiums, allowances, bonuses, commission, etc. EU and EA aggregates are compiled as the sum of all Member States except Greece (EL) and Croatia (HR) for which data were not available at the time of drafting this article.
- 1 Main statistical findings
- 2 Data sources and availability
- 3 Context
- 4 See also
- 5 Further Eurostat information
- 6 External links
Main statistical findings
Median gross hourly earnings
Median gross hourly earnings vary by 1 to 5 between Member States when expressed in PPS…
Across Member States, the highest national median gross hourly earning in October 2014 was 5 times higher than the lowest when expressed in purchasing power standards (PPS), which eliminates price level differences between countries. As measured in October 2014, the highest median gross hourly earnings in PPS were recorded in Denmark (18.5 PPS) and Ireland (18.4 PPS), ahead of Belgium (15.4 PPS), Germany and Luxembourg (both 15.0 PPS), the Netherlands and Sweden (both 14.5 PPS). At the opposite end of the scale, the lowest median gross hourly earnings in PPS were registered in Bulgaria (3.6 PPS) and Romania (4.0 PPS), followed by Latvia (5.0 PPS) and Lithuania (5.1 PPS) (Figure 1).
… and by 1 to 15 when expressed in euros
Differences between Member States are even more pronounced when median gross hourly earnings are expressed in euros. The highest median gross hourly earning in euro was recorded in Denmark (EUR 25.5), ahead of Ireland (EUR 20.2), Sweden (EUR 18.5), Luxembourg (EUR 18.4), Belgium (EUR 17.3) and Finland (EUR 17.2). In contrast, the lowest median gross hourly earnings in euro were registered in Bulgaria (EUR 1.7) and Romania (EUR 2.0), followed by Lithuania (EUR 3.1), Latvia (EUR 3.4) and Hungary (EUR 3.6). In other words, across Member States, the highest national median gross hourly earning was 15 times higher than the lowest when expressed in euros (Table 1).
Low-wage earners are defined as those employees earning two thirds or less of the national median gross hourly earnings. Hence, the threshold that determine low-wage earners is relative and specific to each Member State.
One in every six employees in the European Union is a low-wage earner
Highest share of low-wage earners in Latvia, lowest in Sweden
In 2014, the proportion of low wage earners continued to vary significantly between Member States. The highest percentages were observed in Latvia (25.5 %), Romania (24.4 %), Lithuania (24.0 %) and Poland (23.6 %), followed by Estonia (22.8 %), Germany (22.5 %), Ireland (21.6 %) and the United Kingdom (21.3 %). In contrast, less than 10 % of employees were low wage earners in Sweden (2.6 %), Belgium (3.8 %), Finland (5.3 %), Denmark (8.6 %), France (8.8 %) and Italy (9.4 %). (Figure 2)
Expressed in national currency, the low wage thresholds are per hour: Bulgaria: BGN 2.17; Czech Republic: CZK 83.62; Denmark: DKK 126.83; Hungary: HUF 738.96; Poland: PLN 11.97; Romania: RON 6.01; Sweden: SEK 112.00; United Kingdom: GBP 7.96; Iceland: ISK 1473.40; Norway: NOK 155.92; Switzerland: CHF 23.85; FYR of Macedonia: MKD 90.33; Serbia: RSD 206.02; Turkey: TRY 4.67.
Low-wage earners by sex, age groups, level of education and type of contract, 2014
There are large differences between genders and age groups regarding the proportion of low-wage earners. In the EU in 2014, 21.1 % of female employees were low-wage earners, compared with 13.5 % of male employees. Moreover, almost a third (30.1 %) of employees aged less than 30 were low wage earners, compared with 14 % or less for age groups between 30 and 59. The level of education also plays an important role: the lower the level, the higher is the likelihood of being a low-wage earner. In the EU in 2014, while 28.2 % of employees with a low education level were low-wage earners, the proportion decreased to 20.9 % for those with a medium education level and to less than 7 % (6.4 %) for employees with a high education level. The type of contract also has a significant impact. In the EU in 2014, 31.9% % of employees with a contract of limited duration were low-wage earners, compared with 15.3 % of those with an indefinite contract. (Figure 3)
Distribution of earnings
How are earnings distributed in the EU?
Gross hourly earnings vary sizeably across Member States and economic activities. Notable discrepancies can be observed in the Member States of the European Union (EU) in gross hourly earnings, not only between the 10% of employees earning the least and the 10% earning the most, but also according to the economic activity, with financial and insurance activities being among the highest paying industries in every EU Member State and accommodation and food services among the lowest paying.
Disparities in gross hourly earnings within a country can be measured using deciles, and in particular the lowest and highest deciles, which correspond to the 10% of employees earning the least (D1) and to the 10% earning the most (D9). As a consequence, a high D9/D1 interdecile ratio indicates large disparities. D1 is the maximum gross hourly earnings received by the 10% of employees earnings least. D9 is the minimum gross hourly earnings received by the 10% of employees earning most.
Data on distribution of earnings, as well as corresponding median gross hourly earnings refers to all employees (including apprentices) working in enterprises with 10 employees or more and which operate in all sectors of the economy except agriculture, forestry and fishing (NACE Rev. 2 section A) and public administration and defence; compulsory social security (NACE Rev. 2 section O). EU and EA aggregates are compiled as the sum of all except Greece (EL) and Croatia (HR) for which data was not available at the time of drafting this article.
Largest earnings disparities in Poland, Romania, Cyprus, Portugal, Bulgaria and Ireland
Across the EU Member States in 2014, the D9/D1 dispersion ratio ranged from 2.1 in Sweden to 4.7 in Poland. This means that the 10% best-paid employees earned at least twice as much as the 10% lowest-paid in Sweden, and nearly five times as much in Poland. After Poland, Romania (with a ratio of 4.6), Cyprus (4.5), Portugal (4.3), Bulgaria (4.2) and Ireland (4.1) registered high disparities in gross hourly earnings. In contrast, the lowest D9/D1 ratios were recorded, after Sweden, in Belgium, Denmark and Finland (all with a ratio of 2.4), France (2.7) and Malta (2.9). (Figure 4)
Largest gap between high & median wages in Portugal, between median & low wages in Estonia
The highest disparity on the upper end of the gross hourly earnings distribution in 2014 was registered in Portugal (with a D9/Median ratio of 2.8). This means that the 10% best paid employees in Portugal earned almost three times as much the median. Portugal is followed by Bulgaria, Cyprus, Poland and Romania (all with a ratio of 2.5), Latvia (2.3), as well as Ireland, Lithuania, Luxembourg, Hungary and the United Kingdom (all 2.2). In contrast, Sweden and Denmark (both with a ratio of 1.6), Finland (1.7), Belgium, France, Malta and the Netherlands (all 1.8) recorded the lowest. (Table 2)
For the lower end of the gross hourly earnings distribution, disparities in 2014 were largest in Estonia (with a Median/D1 ratio of 2.0). This means that, in Estonia, the 10% least paid employees earned half of the median earnings. Estonia is followed by Germany, Ireland, Poland and Romania (all 1.9), the Czech Republic, Cyprus, Lithuania and Slovakia (all 1.8). At the opposite end of the scale, the lowest disparities in the lower end of distribution were recorded in Sweden (with a ratio of 1.3), Finland and Belgium (both 1.4), Denmark, France, Italy and Portugal (all 1.5). (Table 2)
And what about economic activities?
To observe differences in earnings between economic activities within each EU Member State gross monthly earnings expressed in euros were used. Gross monthly earnings refer to the wages and salaries earned by full-time and part-time employees in the reference month (generally October 2014) before any tax and social security contributions are deducted. Wages and salaries include any overtime pay, shift premiums, allowances, bonuses, commission, etc. The gross monthly earnings of part-time employees have been converted into full-time units before being included in the calculation.
Finance & insurance and Information & communication among the highest paying industries…
On the basis of gross monthly earnings, "Financial and insurance activities" ranked among the 3 highest paying economic activities in every EU Member State, except Ireland (where it ranked 4th). The sector "Information and communication" was also largely represented among the top 3 paying industries, with the exceptions of Belgium, Spain and the Netherlands (where it ranked 4th), Italy and Luxembourg (5th position) and Cyprus (6th place). (Table 3)
"Electricity, gas, steam and air conditioning supply" was the best paying industry in Belgium, Germany, Spain as well as Austria, and ranked second in Bulgaria, the Netherlands, Portugal, Slovenia and Finland. "Mining and quarrying" ranked first in Denmark, the Netherlands and the United-Kingdom and second in Poland and Romania. As for "Education", it was the best paying economic activity in Luxembourg and the second in Cyprus. Finally, "Professional ,scientific and technical activities" ranked among the 2 highest paying industries in only one Member Sate: Belgium. (Table 3)
… Accommodation & food and Administrative and support services among the lowest paying
At the opposite end of the ranking, "Accommodation and food service activities" was identified in 2014 as the lowest paying activity of the economy in all Member States, except Spain, Malta and Slovenia (where it was the penultimate). "Administrative and support service activities" also ranked widely in the bottom 3, with the exceptions of Hungary, Malta (last but 3 position), Estonia and Cyprus (last but 4) and Latvia. (Table 3)
Data sources and availability
The Structure of earnings survey (SES) is carried out with a four-yearly periodicity according to Regulation (EC) No 530/1999. The most recent available reference years for the SES are 2002, 2006, 2010 and 2014. The data collection is based on legislation and data become available approximately 2 years after the end of the reference period.
National statistical offices collect the information on earnings used in the survey and it contains questions about the enterprise and on the individual employee, aiming to gather individual data on earnings and working hours, as well as personal characteristics and characteristics of the jobs.
The statistics of the SES refer to enterprises employing at least 10 employees in all areas of the economy except agriculture, forestry and fishing (NACE Rev. 2 section A) and public administration and defence; compulsory social security (NACE Rev. 2 section O). Economic activites are classified using the Statistical classification of economic activities in the European Community (NACE). SES 2002 and 2006 are classified in NACE Rev.1.1 whereas SES 2010 and 2014 are classified in NACE Rev.2. The inclusion of section L (in 2002 and 2006) and section O (in 2010) as well as the inclusion of enterprises with fewer than 10 employees is optional.
Occupations are coded according to the International standard classification of occupations, 1988 - ISCO-88 (COM) in 2002 and 2006 whereas SES 2010 and 2014 are coded in ISCO-08.
The variable 'Highest successfully completed level of education and training' in SES 2014 is classified using the International standard classification of education, 2011 version (ISCED 11) and the education level groupings are as follows: Low level: ISCED 0, 1 and 2 (Early childhood education (‘less than primary’ for educational attainment); Primary education; Lower secondary education), Medium level: ISCED 3 and 4 (Upper secondary education and post-secondary non-tertiary education), and High level: ISCED 5a, 5b and 6 (Short-cycle tertiary education; Bachelor’s or equivalent level; Master’s or equivalent level and Doctoral or equivalent level). For SES 2002, 2006 and 2010 International standard classification of education, 1997 version (ISCED 97)
The regional breakdown is based on the Nomenclature of territorial units for statistics (NUTS).
The main reasons for initiating the European Structure of earnings survey (SES) were set out in Regulation (EC) No 530/1999 of 9 March 1999 concerning structural statistics on earnings and on labour costs. The objective of the Regulation (EC) No 530/1999 and the related Commission Regulation (EC) No 1738/2005 in this domain is to provide accurate and harmonised data on earnings in EU Member States, EFTA countries and candidate countries for policy-making and research purposes.
The SES is a large enterprise sample survey providing detailed and comparable information on relationships between the level of remuneration, individual characteristics of employees (sex, age, occupation, length of service, highest educational level attained, etc.) and their employer (economic activity, size and location of the enterprise).
Users of the SES want to determine the earnings received by employees and to investigate the statistical relationship between the level of the earnings and the individual characteristics of the employees and the characteristics of the employer.
The SES represents a rich microdata source for European policy-making and research purposes. Access to microdata is granted to researchers according to specific conditions and respecting statistical confidentiality.
- Gender pay gap statistics
- Labour cost at regional level
- Labour cost index - recent trends
- Labour cost structural statistics - levels
- Minimum wage statistics
- Wages and labour costs
Further Eurostat information
- Earnings, see:
- Gender pay gap in unadjusted form (tsdsc340)
- Structure of earnings survey 2014 (earn_ses2014)
- Gender pay gap in unadjusted form (earn_grgpg)
- Labour market, see:
Methodology / Metadata
- Development of econometric methods to evaluate the Gender pay gap using Structure of Earnings Survey data (Working paper)
- Gender pay gap in unadjusted form - Nace rev.2 (ESMS metadata file — earn_grgpg2_esms)
- Structure of earnings survey 2014 (ESMS metadata file — earn_ses2014_esms)
- A Roadmap for equality between women and men 2006-2010 (Commission Communication SEC(2006) 275)
- Equality between women and men — 2010 (Report from the Commission SEC(2009)1706)
- Strategy for equality between women and men 2010-2015 (Commission Communication COM/2010/0491 final)
- Regulation (EC) No 530/1999 of 9 March 1999 concerning structural statistics on earnings and on labour costs
- 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