REPORT FROM THE COMMISSION TO THE EUROPEAN PARLIAMENT AND THE COUNCIL concerning short-term statistics as required by Council Regulation (EC) No 1165/1998 of 19 May 1998
Date: 2011-06-08
Institutions: European Commission
Subjects: EU statistics, Eurostat, access to EU information, cost-benefit analysis, economic statistics, information analysis

EUROPEAN COMMISSION 

Brussels, 8.6.2011 
COM(2011) 329 final 

REPORT FROM THE COMMISSION TO THE EUROPEAN PARLIAMENT AND 
THE COUNCIL 

concerning short-term statistics as required by Council Regulation (EC) No 1165/1998 of 
19 May 1998 

 
 
 
 
  
 
REPORT FROM THE COMMISSION TO THE EUROPEAN PARLIAMENT AND 
THE COUNCIL 

concerning short-term statistics as required by Council Regulation (EC) No 1165/1998 of 
19 May 1998 

1. 

INTRODUCTION 

According to article 14(2) of Council regulation 1165/1998 concerning short-term statistics:  

The Commission shall,  by  11  August 2008 and again every three years thereafter,  submit a 
report to the European Parliament and the Council on the statistics compiled pursuant to this 
Regulation and in particular on their relevance and quality and the revision of indicators. The 
report  shall  also  specifically  address  the  cost  of  the  statistical  system  and  the  burden  on 
business  arising  from  this  Regulation  in  relation  to  its  benefits.  It  shall  report  on  best 
practices for lessening the burden on business and shall indicate ways of reducing the burden 
and costs. 

The present report follows up on the report that was transmitted in June 2008 pursuant to the 
above article.1 A first report on the quality of short-term statistics had already been published 
in January 2003.2 

European short-term statistics provide a comprehensive set of short-term business indicators 
for  the  European  economies  covering  industry,  construction,  retail  trade,  repair  and  certain 
service  industries.  The  economic  development  of  these  sectors  is  reflected  by  a  series  of 
indicators  for  turnover,  production,  number  of  persons  employed  and  hours  worked,  gross 
wages  and  salaries.  In  addition  there  are  indicators  for  output  prices,  new  orders  and  for 
construction  costs.  European  short-term  statistics  were  introduced  in  1998.  Since  then  their 
quality (coherence, comparability, accuracy and timeliness) and scope (indicators, countries, 
level of detail) have been constantly improved.  

The second section of this report outlines the uses of short-term statistics and their relevance 
for  key  European  policies  and  the  steering  of  European  monetary  policy.  It  also  indicates 
major  developments  in  short-term  statistics  since  the  last  quality  report.  The  next  section 
describes in greater detail the different quality aspects of short-term statistics. Finally, the cost 
and  the  burden  imposed  by  the  collection  and  processing  of  data  for  the  statistics  are 
presented along with some examples on how such cost and burden might be reduced. 

A first draft of this report was presented to the members of the working group on short-term 
statistics in January 2011 (written consultation). 

1 
2 

COM(2008) 340 final, 9.6.2008. 
COM (2003) 36 final, 29.1.2003. 

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2. 

RELEVANCE OF SHORT-TERM STATISTICS 

The establishment of short-term statistics had been a prerequisite for the establishment of the 
euro area and for monitoring the European monetary policy.3 The European Central Bank and 
National  Central  Banks  are  among  the  most  important  users  of  short-term  statistics.  Other 
important  users  are  the  Commission  itself,  national  governments,  research  institutes, 
businesses  and  business  organisations.  News  releases  about  short-term  statistics  generally 
receive  wide  attention  in  the  media.  Last  but  not  least,  short-term  statistics  also  provide 
important input for other statistical areas such as national accounts.  

Short-term  statistics  rank  among  the  most  important  statistics  produced  by  the  Statistical 
Office of the European Union (Eurostat). Economic trend analysis, forecasting and modelling 
are the most common uses of short-term statistics. However, the data are also required for the 
preparation of policy decisions, for research purposes, to check and validate data from other 
sources and to prepare business decisions (e.g. in market research). In some cases results from 
short-term statistics are also used by businesses in rather special ways (e.g. the use of price 
indicators for scaling contracts). 

Of  the  22  Principal  European  Economic  Indicators  (PEEIs)4  that  have  been  developed  to 
monitor  the  economic  development  of  the  European  Union  and  its  Member  States  and  in 
particular  for  steering  monetary  policy  in  the  euro  area,  nine  are  provided  by  short-term 
statistics, i.e. industrial production, industrial output prices of the domestic market, industrial 
new  orders,  industrial  import  prices,  production  in  construction,  turnover  in  retail  trade  and 
repair, turnover in other services, service output prices and building permits. 

In the area of short-term statistics Eurostat publishes 60 news releases per year, i.e. a monthly 
release  for  five  principal  indicators  (industrial  production,  industrial  new  orders,  industrial 
output prices, production in construction and volume of retail trade). Moreover, each year at 
least five issues of "Statistics in focus" are published which, apart from providing quantitative 
data,  deal  with  selected  methodological  issues  and  analyse  current  economic  trends.  In 
addition, the Quarterly Panorama of European business statistics presents short-term results in 
greater detail.  

Between 2009 and 2010 short-term statistics were the subject of a "rolling review". In order to 
identify  ways  to  make  the  collection,  processing  and  dissemination  of  short-term  statistics 
more  efficient  and  more  effective,  external  experts  analysed  the  framework  and  process  for 
the production of short-term statistics from the point of view of users, of Eurostat and of the 
associated partners (national statistical institutes).  

The majority of users need short-term statistics frequently and at regular intervals, and they 
consult the publications (database, news releases etc.) several times a month or at least once a 
month (e.g. when a news release is published). Accuracy is perceived by many users as the 

3 

4 

Statistical  requirements  of  the  European  Central  Bank  in  the  field  of  General  Economic  Statistics, 
European Central Bank, August 2000.  
The  original  list  of  19  PEEIs  was  established  in  2002  (Communication  of  the  Commission  to  the 
European  Parliament  and  the  Council  on  Eurozone  Statistics,  27.11.2002,  COM(2002)  661  final).  In 
2008  three  indicators  for  the  property  market  were  added,  including  building  permits  (Economic  and 
Financial  Committee,  Status  Report  on  Information  Requirements  in  EMU,  Brussels,  4.  November 
2008). 

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most  important  quality  aspect  of  short-term  statistics.  However  differences  between  the 
various  quality  aspects  are  not  so  significant  and  it  seems  fair  to  say  that  timeliness, 
comparability, accessibility, clarity, coherence and completeness are considered of almost the 
same importance as accuracy. This poses a great challenge for the producers  of  statistics  as 
there are trade-offs between several quality aspects, notably between accuracy and timeliness 
or comparability and completeness. 

In the review, users declared themselves to be satisfied with the quality of short-term statistics 
and the related services. 95% of the users who formulated a judgement on the quality found 
short-term statistics to be adequate, and 60% found it to be good or very good. 

In 2008, European economies experienced the greatest downturn in economic activities since 
the  establishment  of  European  short-term  statistics.  Between  April  2008  when  industrial 
output reached its peak and April 2009 when it was at its lowest value, a reduction of almost 
one fifth was recorded. In the construction sector the fall was slower but also deep: output fell 
between January/February 2008 (pre-crisis peak) and February 2010 (lowest value) by around 
one fifth. The volume of retail trade also declined significantly although not as dramatically as 
production. These developments highlighted at the time the importance of having reliable up-
to-date short-term statistics.  

Two important methodological changes took place in 2009. Firstly, short-term indicators were 
rebased  from  the  year  2000  to  the  year  2005.  This  involved  the  arithmetical  change  of  the 
base  year  (average  100  in  2005  instead  of  2000)  and  an  update  of  the  weights  used  in  the 
indicators  to  reflect  the  economic  structure  of  2005.  Secondly,  and  in  parallel  with  the 
rebasing, the new classification of economic activities in the European Union, NACE Rev. 2, 
replaced the older version NACE Rev. 1.1. The classification was modernised by introducing 
new detail to reflect different forms of production and emerging industries. The detail of the 
classification  has  substantially  increased  in  service-producing  activities.  NACE  Rev.  2 
provides a better picture of the overall economy and facilitates international comparisons. The 
transition  to  NACE  Rev.  2  was  accomplished  without  noticeable  effects  on  quality  aspects 
such as timeliness or stability of data (see below). 

3. 

SCOPE AND QUALITY OF THE SHORT-TERM INDICATORS 

3.1. 

Scope and compliance with the short-term statistics Regulation 

In  August  2009  the  last  derogations  which  exempted  Member  States  from  delivering  data 
under regulation (EC) No 1165/98 to Eurostat (concerning service producer prices) expired. 

Commission  regulation  (EC)  No  329/2009  amended  and  updated  the  basic  legal  act  and 
introduced  hours  worked  and  gross  wages  and  salaries  as  new  employment  indicators  for 
retail  trade  and  repair  and  for  other  services.  Following  this  amendment,  hours  worked  and 
gross wages and salaries will be compiled for all branches of the economy covered by short-
term  statistics.  Data  will  be  calculated  for  quarterly  reference  periods  and  will  become 
available in 2013. 

Member  States'  compliance  with  the  short-term  statistics  Regulation  in  terms  of  reliability, 
timeliness, coherence and comparability is monitored by Eurostat every six months and shows 
a high level of compliance and constant improvement. The EU27 average score was 8.9 (out 

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of  10)  as  of  1st October  2010,  as  compared  to  8.5  for  1st  April  2005  and  6.6  for  1st  January 
2004. Most Member States are now close to full compliance with the Regulation. 

3.2. 

Accuracy, reliability, coherence and comparability 

Regulation  (EC)  No  1165/98  and  related  acts  have  introduced  a  set  of  common  definitions 
which are applied by all Member States. Eurostat and national statistical offices work together 
in  order  to  ensure  high  accuracy,  reliability  and  coherence  of  short-term  indicators.  The 
methodological framework established by the Regulation is continuously improved by mutual 
consultations and special thematically focussed task forces.  

It  should  be  noted  that  methodologies  do  not  have  to  be  identical  in  Member  States. 
According  to  the  short-term  statistics  Regulation  and  in  accordance  with  the  principle  of 
subsidiarity  Member  States  are  free  to  decide  on  the  most  efficient  and  effective  ways  of 
collecting  and  processing  data  in  order  to  take  into  account  national  differences,  e.g.  size, 
economic structure and availability of administrative data. 

Eurostat also works together with other international organisations, especially the OECD, in 
order to increase the comparability of data and methods beyond the European Union. 

3.3. 

Timeliness and punctuality 

For  short-term  statistics  the  early  availability  of  data  is  of  central  importance.  Already  in 
1998, the first European regulation on short-term statistics included deadlines for the delivery 
of national data to Eurostat (see table 1, third column). With the 2005 amendment regulation5 
these deadlines have been considerably shortened for most indicators. The table also indicates 
the current delivery dates (e.g. news release) in number of days after the end of the reference 
period. 

In general, the timeliness of short-term statistics can be considered to be very good and any 
delays usually correspond to the target delivery day falling on a weekend or a public holiday. 
However, European releases of short-term indicators still take more time than in the United 
States or Japan.  

Users  are  informed  well  in  advance  about  the  publication  dates  of  the  news  releases  by  the 
release calendar on the Eurostat website.6 In 2010, all dates announced in the release calendar 
were met. 

5 

6 

Regulation (EC) No 1158/2005 of the European Parliament and of the Council of 6 July 2005 amending 
Council Regulation (EC) No 1165/98 concerning short-term statistics (OJ L 191, 22.7.2005, p.1). 
the 
that 
http://epp.eurostat.ec.europa.eu/portal/page/portal/release_calendars/news_releases.  Note 
calendar covers a large number of principal European indicators, and not only in the field of short-term 
statistics. 

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Table 1: Timeliness measured as days between end of reference period and delivery deadline, 
EFC target and dissemination 

Indicator 

Periodicity 

STS-
Regulation 
deadlines a)

EFC 
targets for 
2011 b) 

Dissemination 
of EU totals c) 

Industrial production  

Monthly 

Industrial output prices of the 
domestic market 

Monthly 

Industrial new orders 

Monthly 

Industrial import prices 

Monthly 

Production in construction 

Monthly 

Turnover in retail trade and repair  Monthly 

Turnover in other services 

Quarterly 

Service output prices 

Quarterly 

Building Permits 

Quarterly 

40 

35 

50 

45 

45 

30 

60 

90 

90 

40 

35 

50 

45 

45 

30 

60 

60 

90 

42 

34 

55 

34 

49 

35 

61 

n.a. 

90 

a) Deadlines for the transmission of data to Eurostat after the end of the reference period according to the short-
term statistics regulation. Note that for smaller countries longer deadlines often apply. 

b) Targets set by the 2010 Status Report on information requirements on EMU of the Economic and Financial 
Committee (EFC). 
c) Days between end of reference period and dissemination (e.g. news release). 

3.4. 

Revisions of short-term indicators  

First  results  of  short-term  indicators  are  partly  based  on  preliminary,  estimated  and 
incomplete data. It is therefore  to be expected that results change  between  first, second and 
even  subsequent  publications.  Following  the  first  data  release,  survey  results  often  become 
more complete because missing or late respondents have been added. The other reasons why 
data  are  revised are seasonal adjustment,  benchmarking, new and/or  improved  data sources, 
and  corrections  of  errors  or  methodological  changes.  Nevertheless,  the  size  of  revisions  of 
short-term indicators is generally rather limited, especially at the aggregate EU level and for 
the euro area. 

In  order  to  assess  the  quality  of  the  first  results  of  the  five  short-term  indicators  published 
monthly in a special news release, the changes between the first and the second publication of 
monthly growth rates were analysed for the period from June 2007 until December 2010. 

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Table 2: Size of revision for the five principal short-term indicators a) 

Indicator 

Industrial production 

Industrial output prices of 
the domestic market 

Industrial new orders 

Production in construction 

Volume of retail trade 

Average 
absolute 
revision b) 

Average 
revision c) 

Relative  average 
revision d) 

0.3 

0.1 

0.5 

0.5 

0.3 

0.1 

0.0 

-0.1 

0.0 

0.1 

0.30 

0.10 

0.22 

0.41 

0.74 

a) Seasonally adjusted growth rates of indicators for the euro area. 

b) Average of the differences in absolute terms between growth rates at the second and at the first publication. 

c) Average of the differences between growth rates at the second and the first publication. 

d) Average ratio between revision and growth rate at second publication (both in absolute terms).  

Table 2 shows, for the European aggregates of the five indicators subject to a news release, 
the average size of revisions of growth rates between the first and the second publication (one 
month  later).  In  absolute  terms  (second  column)  the  average  revisions  vary  between  0.1 
percentage  points  for  industrial  output  prices  and  0.5  points  for  industrial  new  orders.  The 
differences between the indicators have mainly methodological reasons. While the industrial 
output  prices  are  often  not  revised  at  all,  revisions  of  the  indicator  for  industrial  production 
might even take place several years after the first publication.  

The  average  revisions  (third  column)  are  close  to  zero.  This  means  that,  for  the  period 
analysed, there was no systematic over- or underestimation of the growth rates at the time of 
the first publication.  

Finally,  the  last  column  in  table  2  by  displaying  the  relation  between  the  revision  of  the 
growth rate and the growth rate itself at the time of the second publication, gives an indication 
of the scale of the revisions during the period analysed. 

3.5. 

Accessibility, clarity and availability of metadata 

All  short-term  statistics  results  are  freely  accessible  on  the  Eurostat  website.  The  special 
section dedicated to short-term statistics is easy to find under the theme "Industry, trade and 
services" or via the search function.7 

Comprehensive,  targeted  and  detailed  explanations  of  methodological  issues  (metadata)  are 
also made available, partly in the above mentioned publications (Statistics in focus, Quarterly 
Panorama  of  European  business  statistics)  and  on  the  Eurostat  website.  The  database  "STS 

7 

http://epp.eurostat.ec.europa.eu/portal/page/portal/short_term_business_statistics/introduction 

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sources" provides detailed discussions of statistical processes, legal questions, confidentiality 
rules, data quality and description of national data collection methods.8 For a number of key 
indicators  additional  detailed  methodological  explanations  are  also  available  ("PEEIs  in 
focus").9 Concise explanations of statistical concepts are published in a new wiki-style online 
dictionary and as answers to "Frequently asked questions". 

4. 

COSTS TO THE STATISTICAL SYSTEM AND BURDEN ON BUSINESSES  

Eurostat conducted a general exercise covering 24 EU basic legal acts involving enterprises as 
respondents or as major part of the respondents  in 2009 and collected data on the statistical 
burden on enterprises (data on production costs for statistical authorities were not included). 
For short-term statistics sufficient data were provided for the years 2006, 2007 and 2008 by 
21  countries,  but  the  exercise  did  not  yield  fully  comparable  figures  because  of 
methodological problems. Therefore only trends could be published. For short-term business 
statistics  a  relatively  stable  development  between  2006  and  2007  was  noted,  followed  by  a 
slight reduction of the response burden between 2007 and 2008.  

Specific cost and burden measurements for short-term statistics started with the first quality 
report  published  in  2003  which  provided  (for  selected  indicators)  data  on  the  number  of 
enterprises answering to questionnaires as well as estimates for manpower needed by both the 
enterprises and the statistical authorities to produce short-term statistics. For the preparation 
of  the  second  quality  report  published  in  2008,  a  task  force  established  a  methodological 
framework to assess the cost and burden for short-term statistics as a whole and for individual 
indicators.  The  measurement  tool  was  consistent  with  the  EU  net  cost  model  for  the 
measurement  of  the  administrative  burden.  For  the  present  report,  data  were  collected 
between September and October 2010 for the reference year 2009. The measurement followed 
the  methodology  developed  for  the  previous  exercise  but  was  adjusted  in  light  of  the 
experience gained in the past and focussed on the one hand on the time that businesses needed 
to compile the necessary data and to answer statistical requests and, on the other hand, on the 
time that statistical authorities needed to comply with the short-term statistics Regulation.  

Establishing  reliable  and  comparable  quantitative  indicators  for  the  costs  (for  statistical 
systems  to  collect,  process  and  disseminate  data)  and  the  burden  (on  enterprises  to  provide 
data)  poses  rather  difficult  practical  and  methodological  questions.  The  time  needed  by  an 
average  business  to  fill  in  a  survey  questionnaire  or  to  provide  information  on  a  particular 
item  can  only  be  roughly  indicated.  Furthermore,  the  number  of  businesses  responding  to 
individual  statistical  items  is  difficult  to  estimate  (for  instance,  one  business  could  be  in 
several samples for different items which could lead to double counting). In accordance with 
the  principle  of  subsidiarity,  samples  are  organised  differently  in  the  Member  States  which 
makes comparisons difficult. Finally, short-term statistics cannot be fully separated from other 
statistics and there is often no clear method to allocate cost and burden to different statistics. 
Most data collected with a survey for short-term statistics will also be used for other statistics, 
notably national accounts. On the other hand, data collected under the nominal responsibility 
of other statistical departments might also be used for short-term statistics.  

8 
9 

http://circa.europa.eu/Public/irc/dsis/ebt/library?l=/methodology/sts_sources&vm=detailed&sb=Title 
http://circa.europa.eu/Public/irc/dsis/ebt/library?l=/methodology&vm=detailed&sb=Title 

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The available data for the European Union as a whole indicate a reduction in the production 
cost by 6% and a reduction in the burden on enterprises by 15% (both measured in hours per 
year) between 2006 and 2009. As found in the last quality report, the costs for the statistical 
system  (e.g.  national  statistical  offices)  and  the  burden  on  businesses  are  roughly  identical 
despite  the  slight  shift  of  the  overall  cost  and  burden  from  businesses  towards  statistical 
authorities.  

A  tentative  calculation  of  the  burden  (stemming  mainly  from  filling  in  questionnaires  for 
short-term statistics) on an average business is presented in table 3 for the principal indicators. 
Note that for the ease of comparison the burden is calculated as minutes per month even for 
the quarterly indicators. A minimum burden of zero indicates that data are not collected with a 
short-term  statistics  questionnaire  but  are  taken  from  administrative  sources.  There  are  still 
several cases where the burden appears to be overestimated. 

Table  3:  Unweighted  country-averages  (EU  27),  highest  and  lowest  country  values  of  the 
burden (minutes per month) on a business replying to a questionnaire 

Industrial 
production 

Industrial 
output prices

Industrial 
new orders 

Production in 
construction 

Average 

Maximum 

Minimum 

20 

73 

0 

17 

70 

3 

6 

19 

0 

22 

87 

1 

Turnover in 
retail & 
repair 

11 

22 

0 

5. 

IMPROVEMENTS 
STATISTICS 

IN  THE  COLLECTION  AND  PROCESSING  OF  SHORT-TERM 

There is a bundle of factors that explain why the cost reduction and the rough data available 
do not allow a quantitative distinction of the various influences on the total figure. In several 
cases, sample sizes for surveys have been reduced or postal or fax surveys have been replaced 
by  electronic  and  internet  surveys.  This  leads  to  a  reduction  of  the  costs  for  the  statistical 
authorities. The positive effect for businesses stems from the possibility to include plausibility 
checks in the electronic questionnaire which results in fewer mistakes and a lower number of 
queries regarding classifications.  

A  major  reason  for  the  reduction  in  the  burden  on  businesses  appears  to  be  the  increased 
reliance by statistical offices on administrative data, especially for the employment indicators 
(hours worked, persons employed, gross wages and salaries). This kind of information is often 
already  available  e.g.  within  tax  offices,  labour  administrations,  public  social  insurances  or 
building authorities and does not have to be collected again for statistical purposes. While the 
use  of  existing  administrative  sources  for  statistical  purposes  reduces  the  burden  on 
businesses  it  may  lead  to  higher  costs  within  statistical  offices  as  data  might  have  to  be 
adjusted.  The  use  of  administrative  data  also  requires  continuous  coordination  especially 
where countries have decentralised administrations.  

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Moreover, the use of administrative data as input for short-term statistics is limited especially 
for the monthly indicators where the requirements in terms of timeliness and short deadlines 
are very high. Administrative data are often collected less frequently than would be necessary 
for short-term statistics and/or become available too late. In addition, adjustments are required 
where  administrative  data  do  not  directly  fit  the  definitional  requirements  of  short-term 
statistics, and such adjustments can also have a bearing on data quality. 

Short-term statistics are continually improved by the statistical offices on national level and in 
cooperation between national offices and Eurostat in several task forces. Together with some 
other  statistical  domains  short-term  statistics  are  covered  by  the  programme  for  the 
Modernisation of European Enterprise and Trade Statistics (MEETS). Within this programme 
short-term  statistics  are  included  in  several  actions  concerning  the  further  use  of 
administrative  data,  the  accommodation  to  sources  not  yet  useable,  the  combination  of  data 
from  different  sources,  the  data-warehousing,  the  estimation  of  non-available  data,  and  the 
harmonisation  of  definitions.  These  processes  of  identification,  development  and  sharing  of 
already  existing  good  practices  should  contribute  to  an  increase  in  efficiency  of  data 
collection and processing. 

Short-term  statistics  already  use  a  variety  of  instruments  to  limit  the  burden  on  enterprises. 
For some indicators European sample schemes have been introduced. Countries participating 
in such a scheme only have to compile data for those industries or products for which their 
national contributions to the aggregate at European level make a significant difference. 

Another important instrument to reduce or even avoid burden on small businesses is applying 
thresholds  when  collecting  data.  In  cases  where  small  enterprises  cannot  be  completely 
exempted from the data collection, lower sampling rates are applied, i.e. for a small business 
it  is  less  likely  to  be  included  in  a  sample.  Another  sampling  technique  that  is  routinely 
applied by many statistical offices is the rotation of samples so that a share of the businesses 
is replaced every year. It should also be pointed out that sample sizes required for European 
short-term  statistics  are  often  lower  than  the  sample  sizes  used  in  practice,  since  national 
offices may have to reproduce the indicators with a regional or local breakdown. 

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Annex: The 43 short-term indicators (PEEI in bold print), Q – quarterly indicator, M – monthly indicator 

Industry 

Construction 

Retail trade and repair 

Other services 

Production 

Industrial production (M) 

Turnover 

Industrial turnover (M) 
•  Domestic industrial turnover 
•  Non-domestic  industrial  (Euro  area 

and Non Euro area) 

Costs 

- 

New orders / 
building permits 

New orders received (M) 
•  Domestic new orders 
•  Non  domestic  new  orders  (Euro  area 

and Non Euro area) 

Production in construction (M/Q) 
•  Building construction 
•  Civil engineering 
- 

- 

- 

Turnover  in  retail  trade  and  repair 
(M) 

Turnover in other services (Q) 

Construction costs (Q) 
Material costs  
Labour costs 
Building permits (Q) 
•  number of dwellings 
•  m2 of useful floor area 

- 

- 

- 

- 

persons 

of 

Number 
employed 
Hours worked 

Number of persons employed in industry 
(Q) 
Hours worked in industry (Q) 

Number  of  persons  employed  in 
construction (Q) 
Hours worked in construction (Q) 

wages 

Gross 
salaries 
Output prices 

Import prices 

and 

Gross wages and salaries in industry (Q)  Gross  wages 

and 

salaries 

in 

construction (Q) 

Industrial output prices (M) 
•  Domestic output prices 
•  Non  domestic  output  prices  (Euro 

area and Non Euro area 

Industrial import prices (M) (Euro area 
and Non Euro area) 

- 

Number  of  persons  employed  in  retail 
trade and repair (Q) (not yet available) 
Hours  worked  in  retail  trade  and  repair 
(Q) (not yet available) 
Gross  wages  and  salaries  in  retail  trade 
and repair (Q) 
Deflator of sales (M) 

Number  of  persons  employed  in 
other services (Q) (not yet available) 
Hours  worked  in  other  services  (Q) 
(not yet available) 
Gross  wages  and  salaries  in  other 
services (Q) 
Output prices of other services (Q) 

- 

- 

EN 

10 

EN