Labour costs survey - NACE Rev. 2 activity (lcs_r2)

Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS)

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


Eurostat metadata
Reference metadata
1. Contact
2. Statistical presentation
3. Statistical processing
4. Quality management
5. Relevance
6. Accuracy and reliability
7. Timeliness and punctuality
8. Coherence and comparability
9. Accessibility and clarity
10. Cost and Burden
11. Confidentiality
12. Comment
Related Metadata
Annexes (including footnotes)
National quality report



For any question on data and metadata, please contact: Eurostat user support

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1. Contact Top
1.1. Contact organisation

Eurostat, the statistical office of the European Union

1.2. Contact organisation unit

F3: Labour market

1.5. Contact mail address

ESTAT BECH 5, Rue Alphonse Weicker L-2721 LUXEMBOURG


2. Statistical presentation Top
2.1. Data description

Labour cost statistics provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs.

Structural information on labour costs is collected through four-yearly Labour Cost Surveys (LCS), which provides details on the level and structure of labour cost data, hours worked and hours paid. LCS results are available for the reference years 2000, 2004, 2008 and 2012. All EU Member States together with Norway and Iceland (2004 onwards), Turkey and the Former Yugoslav Republic of Macedonia (2008), as well as Serbia, Montenegro and Albania (2012) participated in the LCS. As far as available data and confidentiality rules permit, all variables and proportions are further broken down by enterprise size category, economic activity and region (for larger countries only).

The data are collected by the National Statistical Institutes in most cases on the basis of stratified random samples of enterprises or local units, restricted in most countries to units with at least 10 employees. The stratification is based on economic activity, size category and region (where appropriate). Regional metadata is identical to the metadata provided for national data. Some countries also complement the survey results with administrative data. Monetary variables are expressed in EUR, national currencies (for non-euro-area countries) and Purchasing Power Standards (PPS). Labour costs are quoted in total per year, per month and per hour, as well as per capita and per full-time equivalents (FTE). Information on staff, hours worked and hours paid is quoted in aggregate and separately for full- and part-time employees.

2.2. Classification system

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.

2.3. Coverage - sector

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.

2.4. Statistical concepts and definitions

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.

2.5. Statistical unit

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.

2.6. Statistical population

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.

2.7. Reference area

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.

2.8. Coverage - Time

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.

2.9. Base period

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.


3. Statistical processing Top
3.1. Source data

The data are collected by the National Statistical Institutes.

No single type of survey is used; survey type varies by country and these vary from dedicated surveys to use of administrative data sources. Further details on the type of survey used by each NSI can be found in the Quality Reports as well as in the Synthesis of Quality Reports.

3.2. Frequency of data collection

Four-yearly.

3.3. Data collection

In most cases the data are collected by the National Statistical Institutes on the basis of stratified random samples of enterprises or local units having at least 10 employees. The stratification is based on economic activity, size category and region (where appropriate).

3.4. Data validation

Data communicated by individual countries are checked for internal consistency and coherence. Several levels of checking are defined:

  • Data entry checks, controlling the appropriate variable names;
  • Record level checks, controlling the values of the variables;
  • Checks on relationships between variables, size classes and sectors;
  • Checks on the relationships between national data and regional data.
3.5. Data compilation

Conversion into EUR and PPS is based on the annual conversion rates for those years.

EU aggregates are obtained as weighted averages of the available national data. In the case of confidential data for one EU/EA country, the country concerned is not included in the aggregate compilation as long as it has less than 10% weight on the sum of the total EU values. In such case, EU/EA data is flagged with a ":d" to the corresponding value. In the case the weight of the confidential country's value has more than 10% on the EU, the corresponding aggregate is considered to be unreliable and hence EU is flagged with a ":u" note. When there are two or more EU countries with confidential data, the EU figure corresponds to the total set of EU countries.

3.6. Adjustment

Not applicable.


4. Quality management Top
4.1. Quality assurance

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.

4.2. Quality management - assessment

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

See Annex for further details.

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.


5. Relevance Top
5.1. Relevance - User Needs

The LCS results serve to provide a sound empirical foundation for decision-makers in national and European social policy and to establish reliable and harmonized comparisons of labour costs and its components between European countries or regions.

The main users of the survey are; the European Commission, European Parliament, ECB, OECD, IMF, ILO, etc. at international level, as well as Ministries for Economy or Finance, trade unions, employers' associations, political parties, research centres, universities and the media at national level.

5.2. Relevance - User Satisfaction

Not available.

5.3. Completeness

The quality reports show that the LCSs were to a large extent carried out without serious problems with regard to NACE coverage or coverage of mandatory variables. For a few Member States, completeness was slightly affected by a few variables related to apprentices. In some Member States, candidate countries or EFTA countries, the LCSs were in almost all cases carried out with the enterprise as statistical unit but with a NACE coverage going beyond the mandatory scope (e. g. NACE Rev. 2 sections A or O) and the coverage of enterprises with less than 10 employees.

For further details see the paragraphs 11.2 and 21.3.

5.3.1. Data completeness - rate

Complete data is available for NACE Rev. 2 Sections B to S excluding O (public administration and defence; compulsory social security) and enterprises with 10 employees or more.

Some countries also provide data for NACE O and enterprises with less than 10 employees, as shown below.

 

 

Including data for enterprises with <10 employees

Including data for NACE Rev.2 Section O
BE X  
BG X X
CZ X X
DK   X
DE   X
EE X X
IE   X
EL   X
ES X X
FR   X
HR   X
IT   X
CY   X
LV X X
LT X X
LU    
HU X X
MT    
NL X X
AT    
PL   X
PT X X
RO X X
SI X X
SK X X
FI   X
SE    
UK X X
MK X X
TR    
IS   X
NO    
CH X X
RS   X
BA    
ME   X
AL    


6. Accuracy and reliability Top
6.1. Accuracy - overall

Details about accuracy can be found in the countries’ Quality Reports by respective reference year.

6.2. Sampling error

Details about sampling errors can be found in the countries’ Quality Reports

6.2.1. Sampling error - indicators

See national quality reports.

6.3. Non-sampling error

Details about non-sampling errors can be found in the countries’ Quality Reports by respective reference year.

6.3.1. Coverage error
  Sample Rate
BE 12%
BG 100%
CZ 24%
DK 100%
DE 32%
EE 45%
IE 21%
EL 13%
ES 8%
FR 17%
HR 18%
IT 45%
CY 15%
LV 51%
LT 100%
LU 52%
HU 53%
MT 41%
NL 100%
AT 40%
PL 13%
PT 9%
RO 27%
SI 15%
SK 28%
FI 26%
SE 6%
UK 100%
MK 57%
TR 5%
BA 47%
RS 22%
IS 15%
NO 13%
CH 44%
6.3.1.1. Over-coverage - rate

see national quality reports

6.3.1.2. Common units - proportion

not avaiable

6.3.2. Measurement error

Coefficient of Variation for Annual labour cost (variable D) and Hourly labour Cost (variables D/B1)

 

 

Annual labour cost (D)

Hourly labour cost (D/B1)

Comments

Belgium

1.24

0.95

 

Bulgaria

NA

NA

sample equal to universe

Czech Republic

0.14

0.64

 

Denmark

NA

NA

LCS is a full scale survey

Germany

0.22

0.20

 

Estonia

-

-

only available by NACE sector

Ireland

0.50

0.40

 

Greece

0.14

0.13

 

Spain

0.43

0.43

 

France

0.00

0.00

 

Croatia

2.70

1.37

 

Italy

0.40

0.19

 

Cyprus

-

-

only available by NACE sector

Latvia

0.14

0.12

 

Lithuania

0.70

0.50

 

Luxembourg

3.57

2.34

 

Hungary

2.24

-

 

Malta

3.86

-

 

Netherlands

0.00

0.00

 

Austria

0.56

0.31

 

Poland

2.81

2.86

 

Portugal

2.32

1.08

 

Romania

0.01

0.03

 

Slovenia

1.00

0.60

 

Slovakia

0.2

0.05

 

Finland

3.5

0.40

 

Sweden

0.8

0.50

 

United Kingdom

0.20

0.00

only for full-time employees

FYROM

4.50

7.90

 

Turkey

2.70

2.00

 

Iceland

2.78

0.77

 

Norway

0.01

0.01

 

Switzerland

0.60

0.52

 

Bosnia and Herzegovina

0.35

0.31

 

Serbia

0.90

0.60

 

     "-"   not available

     NA   not applicable

6.3.3. Non response error

see below

6.3.3.1. Unit non-response - rate
  Response Rate
BE 57.11%
BG 100.00%
CZ 79.78%
DK 99.00%
DE 98.80%
EE 81.70%
IE 61.50%
EL 52.90%
ES 92.40%
FR 84.60%
HR 54.85%
IT 69.00%
CY 95.50%
LV 90.90%
LT 92.70%
LU 90.80%
HU 85.50%
MT 70.30%
NL NA
AT 96.60%
PL 72.00%
PT 72.30%
RO 98.42%
SI 87.50%
SK 84.65%
FI 52.00%
SE 89.50%
UK NA
MK 74.10%
TR 93.69%
BA 83.20%
RS 88.10%
IS 96.50%
NO 95.00%
CH 82.00%
6.3.3.2. Item non-response - rate

See national quality reports

6.3.4. Processing error

see national quality reports

6.3.4.1. Imputation - rate

see national quality reports

6.3.5. Model assumption error

If not otherwise mentioned below, no models were used in compiling data for the LCS 2012.

BE:      As regards the hours worked (provided by the NBB), when the financial year didn’t correspond to the calendar year, the hours worked were extrapolated to 12 months.

BG:     Information on hours paid, total and by mode of employment was not collected directly from the respondents, but was calculated at micro level as shown in the quality report.

DK:     Information on variables D2, D3, D4, D5 and a minor part of D12 are based on a sample of enterprises in the private sector and due to the sample size the above variables have been estimated on the basis of enterprise size class and NACE.

IE:       Annual estimates at the aggregate level are not based on annual returns at micro-data level but on the sum of the four quarters' data collections.

ES:      Data for “Payments for days not worked” (variable D1113) were estimated using a model as indicated further in the Spanish quality report.

NL:      15% of labour cost components that could not be derived from SEE, several other sources had to be used and assumptions had to be made. See Dutch Quality Report for further details.

SI:       Labour Cost data were grossed up using a ratio estimator based on the Labour Cost Index (combined data of monthly wages survey, employers’ social contributions and payroll taxes from the public administration).

FI:       Missing data on hours of absence, sick leave, paid holiday and other paid leave is imputed from LFS data.

SE:      A new improved model for producing regional data was applied in LCS 2012 (see national quality report for further details). In cases where a fiscal year of 15 months had to be converted to calendar year, all figures except those concerning number of employees have been divided by 15 and multiplied by 12.

6.4. Seasonal adjustment

not applicable

6.5. Data revision - policy

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

see below

6.6. 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.

6.6.1. Data revision - average size

not requested


7. Timeliness and punctuality Top
7.1. Timeliness

Countries are obliged to transmit complete and consistent data from the Labour Cost Surveys within 18 months of the end of the reference period. On average, it takes another four to six months to prepare the data for general distribution. However, many data revisions by countries after the legal data transmission deadline hamper Eurostat's time schedule for publishing the LCS results.

7.1.1. Time lag - first result

Data sent before 30 June 2014

26 countries

 
 

no corrections needed

CZ, DE, EE, ES, LT, LU, RO, FI, SE, IS

 

1 correction

BG, DK, NL, LV, HU, AT, PL, PT, SI, MK, TR, RS

 

2 or more corrections

IE, HR, MT, SK

 

Data sent after 30 June 2014

9 countries

 
 

no corrections needed

UK, PT

 

1 correction

IT, FR, EL, NO, CH, BA

 

2 or more corrections

BE, CY

 
7.1.2. Time lag - final result

See above.

7.2. Punctuality

Data may be available relatively later than expected due to delays in data transmission by the country or because it is still blocked under Eurostat’s validation procedures. These delays could also affect the publication of the corresponding EU-aggregates.

7.2.1. Punctuality - delivery and publication

see item 6 above.


8. Coherence and comparability Top
8.1. Comparability - geographical

Data are largely comparable between countries.

Geographic comparability over time may be affected by breaks in the NUTS classification.

8.1.1. Asymmetry for mirror flow statistics - coefficient

Not requested

8.2. Comparability - over time

Comparability of the LCS results, for the same geographical unit, is reduced in case of changes in definitions, coverage or methods between both surveys.

Data comparability over time may also be affected by improved methodologies at national level between different vintages. 

8.2.1. Length of comparable time series

Not requested

8.3. Coherence - cross domain

Information on labour costs is also included in National Accounts and collected in Structural Business Surveys (SBS), although in far less detail. Methodological differences rule out complete comparability. National Accounts as well as SBS data cover units of all size categories and use different statistical units. In addition, their labour cost concepts are narrower, as they do not cover other expenditure and related taxes minus subsidies under the labour costs heading.

Structural Business Statistics (SBS, annual data) and the Labour Force Survey (LFS, quarterly data) are surveys that partly measure similar or identical variables, such as "number of employees" or "wages and salaries". Whilst the National Accounts (NA) and the Labour Cost Survey (LCS) are closely related, certain coherence problems should be taken into account when comparing data relating to the same variables from the four different sources (LCS, SBS, Structure of Earnings Survey (SES) and NA).

The LFS statistical unit is the household, whereas the LCS refers to the local unit of the enterprise, which is currently restricted to units with at least 10 employees for most countries. This difference may affect the identification of economic activities and, consequently, the results broken down by economic activity.

By contrast with the LCS, the SBS use the enterprise as the statistical unit and do not adjust for companies that were inactive during the reference year. Within the respective SBS and LCS frameworks, the enterprise (SBS) and the local unit (LCS) are assigned to an economic activity on the basis of its main component. The LCS may, therefore, assign local enterprise units to different economic activities. The fact that enterprises with fewer than 10 employees are not covered in all the national LCS affects the compatibility between the LCS and SBS, particularly in the case of NACE sections covering predominantly small enterprises (for example, NACE Sections G or H). In addition, head counting may vary, especially in the case of temporary workers or the treatment of certain employee categories. Thus, management staff, sales representatives and family workers are excluded from the LCS, but may be included in the SBS.

National accounts and the SBS record all employees, regardless of company size, whereas the LCS does not cover enterprises with fewer than 10 employees in all countries. This explains why NA data on numbers of employees are normally higher. In particular, NACE sections characterised by a high percentage of small enterprises, such as G and H, may show markedly different values for total employee numbers or total employee remuneration in the LCS. Unlike LCS, NA also includes non-payroll staff. Moreover, employees with multiple jobs are counted in LCS according to the number of jobs they hold whereas they are counted only once in NA. However, it is expected that NA and LCS show similar developments between 2008 and 2012 which was generally the case except for Belgium, Germany, Luxembourg, Portugal and Slovakia where a divergence of more than 10 percentage points was recorded in the number of hours worked. LCS data for those countries should be used with caution as regards the total number of hours worked, number of hours paid and the total number of employees.

Not requested.

8.4. Coherence - sub annual and annual statistics
 

Coherence with Labour Force Survey (LFS)

Coherence with Structural Business Survey (SBS) Coherence with Labour Cost Index (LCI)
Hours actually worked per year per employee (Total) annual wages and salaries, per employee in National Currency average (annual) growth rates for variable Hourly Labour Cost (Total)
  LCS LFS LCS SBS LCS LCI
BE 1,266 1,407 * * 2.80% 3.20%
BG 1,650 2,071 8,730 8,746 8.40% 8.30%
CZ 1,682 1,851 *** *** 9.00% 15.00%
DK 1,366 1,747 * * 3.50% 1.60%
DE 1,661 1,810 32,986 29,933 2.20% 2.30%
EE * * * * * *
IE 1,454 1,586 * * ** **
EL 1,642 1,900 * * * *
ES 1,719 1,561 21,504 23,516 8.50% 7.00%
FR 1,430 1,979 34,305 32,602 2.10% ***
HR 1,734 1,919 * * ** **
IT 1,480 1,847 27,723 27,370 2.01% 2.46%
CY 1,795 2,068 24,010 21,861 0.36% 4.76%
LV 1,559 2,009 5,017 4,667 0.40% 0.50%
LT 1,544 1,840 21,017 21,455 -1.40% -1.60%
LU 1,632 1,680 47,750 *** 2.30% 2.68%
HU 1,785 2,044 2,693,371 2,653,446 1.70% 1.90%
MT 1,804 1,846 19,851 16,120 4.41% 2.19%
NL 1,257 1,303 31,700 30,500 2.48% 1.80%
AT 1,530 1,602 33,545 36,240 3.00% 3.70%
PL 1,611 2,018 42,775 40,762 5.73% 3.93%
PT 1,625 1,828 16,231 14,134 8.50% -1.70%
RO 1,771 1,967 1,980 1,773 4.73% 6.28%
SI 1,674 1,739 20,026 18,584 2.30% 1.60%
SK 1,459 1,893 10,000 11,000 3.10% 3.40%
FI 1,477 1,576 37,340 34,650 4.00% 3.70%
SE 1,477 1,525 326,693 329,644 2.00% 3.00%
UK 1,781 ** 26,176 21,806 0.90% 1.47%
MK 1,941 2,188 379,535 368,042 *** ***
TR 2,208 2,397 26,944 18,169 11.30% 11.70%
IS * * *** *** *** ***
NO 1,596 1,617 477,382 471,794 5.20% 3.70%
CH ** ** ** ** ** **
BA 1,848 2,070 1,872 1,152 *** ***
RS 1,611 2,235 778,723 743,000 *** ***
Explanatory notes      
* Figures available only by NACE section levels
** No information has been documented
*** Comparison is not produced, not relevant or not possible
8.5. Coherence - National Accounts
  Coherence with National Accounts (NA)
Compensation of employees, per employee, variable D1(Total) 
  LCS NA
BE 49,341 50,904
BG 10,412 12,016
CZ *** ***
DK 390,959 386,970
DE 41,029 37,014
EE * *
IE ** **
EL 25,731 24,217
ES 30,486 32,774
FR 46,534 44,823
HR ** **
IT 41,226 36,707
CY 24,404 24,178
LV 6,254 7,335
LT 29,666 39,479
LU 54,897 57,442
HU 3,492,422 3,531,549
MT 21,458 19,917
NL 40,800 41,300
AT 44,413 40,618
PL * *
PT 19,979 20,722
RO 2,539 2,555
SI 24,987 24,470
SK 14,100 14,500
FI 46,269 44,944
SE 464,627 401,222
UK 30,575 31,237
MK 383,422 298,388
TR *** ***
IS 604.1Mil. 716.5Mil.
NO 615,730 609,170
CH 365,718 365,517
BA *** ***
RS 964,183                                     917,345                           
Explanatory notes  
* Figures available only by NACE section levels
** No information has been documented
*** Comparison is not produced, not relevant or not possible
8.6. Coherence - internal

Additional checks and comparisons with Labour Cost Index (LCI) data are done in order to assess internal coherence with regard to labour costs.


9. Accessibility and clarity Top
9.1. Dissemination format - News release

See Eurostat's most recent News Release on:

http://ec.europa.eu/eurostat/documents/2995521/6313539/3-15122014-AP-EN.pdf/36ae8443-6a22-429a-8e05-6b59088e3155

9.2. Dissemination format - Publications

Labour cost structural statistics - levels (2012)

Labour cost structural statistics - changes (2012/2008)

Further details on Eurostat's website under the following link:

http://ec.europa.eu/eurostat/web/labour-market/labour-costs

9.3. Dissemination format - online database

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

9.3.1. Data tables - consultations

Not Available.

9.4. Dissemination format - microdata access

Not applicable.

9.5. Dissemination format - other

See: http://ec.europa.eu/eurostat

9.6. Documentation on methodology

See Annexes below.

9.7. Quality management - documentation

LCS Quality Reports by countries are available on CIRCABC website 'Wages and labour costs'.

LCS 2000: Details of the quality of the 2000 survey can be found in the summary of the Quality Report (see paragraph 21.3 Annex: Labour Cost Survey 2000 - Quality Report, Oct. 2003).

9.7.1. Metadata completeness - rate

Not available.

9.7.2. Metadata - consultations

Not available.


10. Cost and Burden Top

Not available.


11. Confidentiality Top
11.1. 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.

11.2. Confidentiality - data treatment

Confidential data is flagged. Countries inform Eurostat if confidential data shall be flagged.


12. Comment Top

LCS 2008 and 2012 (United Kingdom) hours worked had been estimated on the basis of data from the Labour Force Survey (LFS) and then cannot be compared with other countries' data.

For Belgium, LCS 2012 number of hours paid per week are not consistent with the number of hours worked.

For Romania, LCS2000 data are expressed in ROL (national currency), LCS2004 data are expressed in thousands ROL (national currency) whereas LCS2008 data are expressed in RON (new national currency starting with 1st of July 2005).

In order to make the figures comparable across time, take note that 1 RON = 10000 ROL.

Labour Cost data including apprentices (lc_n08costot_r2) are calculated differently in Member States. Hence, the conversion of apprentices into full-time units (FTUs), usually based on the number of hours worked, is not the same for all member states or not available. Thus the comparison of Labour Cost data including apprentices may not be fully comparable with Labour Cost data excluding apprentices (lc_n08cost_r2).

For Slovenia (LCS 2012) variable D4 may contain negative values because in Slovenia D4 also covers penalty taxes to be paid in some European countries by employers for employing too few handicapped persons. Companies also receive benefits if they employ more handicapped persons than they should and in this case labour costs are reduced.

Further details of the compatibility of information from the different sources and the peculiarities of individual national LCS data can be found in the countries' Quality Reports.


Related metadata Top


Annexes Top