European regional and urban statistics : reference guide.
Date: 2006-06-19
Institutions: Eurostat
Subjects: EU statistics, regional statistics, town, user guide

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ISSN 1683-464X

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European Regional
and Urban Statistics 

Reference Guide

E U R O P E A N
C O M M I S S I O N

THEME
General
and regional
statistics

 
 
 
 
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ISBN 92-79-01803-5
ISSN 1683-464X

© European Communities, 2006

Regional and Urban Statistics – Reference Guide 2006 

Introductory Remarks 

Comparable regional statistics, a major part of the European Statis-
tical  System,  are  used  for  a  wide  range  of  purposes, inter alia  for 
allocating structural funds in a rational and coherent way. 

For several decades now, Eurostat has been collecting a wide range 
of regional statistics. This reference guide is designed to serve as a 
vademecum,  explaining  the  background  of  European  regional  sta-
tistics,  including  its  regional  classification  NUTS.  In  particular,  all 
recent  improvements  made  in  the  data  collection  are  explained  in 
detail. Furthermore, the structure of the stored data is comprehen-
sively described. 

Eurostat's regional statistics are stored in its public database, more 
specifically in the "Regions" domain of the theme "General and re-
gional statistics". Anyone can access the data free of charge via the 
internet. 

For  the  second  time,  this  year’s  reference  guide  also  covers  urban 
statistics,  which  can  be  found  in  the  database  domain  “Urban  Au-
dit”. 

This reference guide replaces the 2005 edition. It is again available 
only  in  PDF-format  and  can  be  downloaded  from  the  Internet  free 
of charge. Eurostat will continue to produce a new updated version 
of  this  reference  guide  at  the  beginning  of  each  year.  French  and 
German translations of this guide will – as every year - be available 
in due course. 

For any feedback, methodological questions or suggestions for im-
proving this reference guide, please send an e-mail to:  
berthold.feldmann@cec.eu.int . 

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Regional and Urban Statistics – Reference Guide 2006 

TABLE OF CONTENTS 

I. 

REGIONAL DATA - AN OVERVIEW ____________________________ 1 

1.  REGIONAL BREAKDOWN _______________________________________________ 2 
1.1.  What is a region? ______________________________________________________________2 
1.2.  Regions as an administrative concept __________________________________________3 
1.3.  The NUTS classification ________________________________________________________4 
1.4.  The underlying principles of NUTS _____________________________________________4 
1.5.  Applying NUTS to a particular country __________________________________________6 
1.6.  Review of NUTS changes in 2003 _______________________________________________8 
1.7.  NUTS changes in 2006_________________________________________________________9 
1.8.  More information on NUTS ___________________________________________________ 10 
2.  THE STATISTICAL COLLECTIONS_________________________________________ 10 
2.1.  Dataflow into Eurostat's statistical databases _________________________________ 10 
2.2.  The collections of regional statistics in REGIO_________________________________ 10 
2.3.  Candidate country data ______________________________________________________ 11 
3.  LOCAL ADMINISTRATIVE UNITS _________________________________________ 12 
3.1.  SIRE - European infra-regional information system____________________________ 12 
3.2.  Population and housing censuses ____________________________________________ 12 
4.  URBAN STATISTICS _________________________________________________ 13 
4.1.  Data availability so far _______________________________________________________ 13 
4.2.  Data collection 2006 ________________________________________________________ 14 
5.  FREQUENTLY ASKED QUESTIONS ________________________________________ 15 
5.1.  Which version of NUTS _______________________________________________________ 15 
5.2.  Which level of NUTS _________________________________________________________ 15 
5.3.  How has the introduction of the Euro affected tables  in national currency?_____ 15 
5.4.  When are data updated? _____________________________________________________ 16 
5.5.  Are the data checked for coherence? _________________________________________ 16 
5.6.  Do you have to look for regional data in other domains of the databases? ______ 16 
5.7.  Do the tables include data for all EU-25 regions? _____________________________ 16 
6.  METHODOLOGICAL EXAMPLES __________________________________________ 17 
6.1  The Estimation of Regional GDP ______________________________________________ 17 
6.2.  Regional Unemployment Rates _______________________________________________ 18 
7.  OUTLINE OF THE COLLECTION DESCRIPTIONS _______________________________ 19 

8.  ORGANISATIONAL SET UP AND CONTACT PERSONS ____________________________ 20 

9.  REGIONAL STATISTICS PUBLICATIONS ____________________________________ 22 
9.1.  Portrait of the Regions _______________________________________________________ 22 
9.2.  The regional yearbook _______________________________________________________ 23 
9.3.  Statistics in Focus ___________________________________________________________ 23 

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Regional and Urban Statistics – Reference Guide 2006 

9.4.  Classifications_______________________________________________________________ 23 
9.5.  Urban Audit Handbook ______________________________________________________ 24 
10. SYMBOLS AND ABBREVIATIONS _________________________________________ 24 

II.  DETAILED DESCRIPTION OF THE DATABASE (REGIO)____________ 26 

1.  AGRICULTURAL STATISTICS ____________________________________________ 26 
1.1.  General presentation ________________________________________________________ 26 
1.2.  Eurostat publications and databases__________________________________________ 28 
1.3.  Data sources ________________________________________________________________ 28 
1.4.  Legal base __________________________________________________________________ 28 
1.5.  Contact person ______________________________________________________________ 29 
1.6.  List of tables ________________________________________________________________ 29 
1.7.  Detailed description _________________________________________________________ 30 
2.  DEMOGRAPHIC STATISTICS ____________________________________________ 40 
2.1.  General presentation ________________________________________________________ 40 
2.2.  Eurostat publications ________________________________________________________ 44 
2.3.  Data sources ________________________________________________________________ 44 
2.4.  Legal base __________________________________________________________________ 44 
2.5.  Contact person ______________________________________________________________ 44 
2.6.  List of tables ________________________________________________________________ 44 
2.7.  Detailed description _________________________________________________________ 47 
3.  ECONOMIC ACCOUNTS _______________________________________________ 68 
3.1.  General presentation ________________________________________________________ 68 
3.2.   Eurostat publications ________________________________________________________ 69 
3.3.  Data sources ________________________________________________________________ 70 
3.4.  Legal base __________________________________________________________________ 70 
3.5.  Contact person ______________________________________________________________ 70 
3.6.  List of tables ________________________________________________________________ 70 
3.7.  Detailed description _________________________________________________________ 72 
4.  EDUCATION_______________________________________________________ 77 
4.1.  General presentation ________________________________________________________ 77 
4.2.  Eurostat publications ________________________________________________________ 78 
4.3.  Data sources ________________________________________________________________ 78 
4.4.  Legal base __________________________________________________________________ 78 
4.5.  Contact person ______________________________________________________________ 78 
4.6.  List of tables ________________________________________________________________ 79 
4.7.  Detailed description _________________________________________________________ 80 
5.  LABOUR MARKET STATISTICS___________________________________________ 84 
5.1.  General presentation ________________________________________________________ 84 
5.2.  Eurostat publications ________________________________________________________ 87 
5.3.  Data sources ________________________________________________________________ 88 
5.4.  Legal base __________________________________________________________________ 89 
5.5.  Contact person ______________________________________________________________ 89 
5.6.  List of tables ________________________________________________________________ 89 
5.7.  Detailed description _________________________________________________________ 94 

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Regional and Urban Statistics – Reference Guide 2006 

6.  MIGRATION STATISTICS _____________________________________________ 110 
6.1.  General presentation _______________________________________________________ 110 
6.2.  Eurostat publications _______________________________________________________ 111 
6.3.  Data sources _______________________________________________________________ 111 
6.4.  Legal base _________________________________________________________________ 111 
6.5.  Contact person _____________________________________________________________ 111 
6.6.  List of tables _______________________________________________________________ 111 
6.7.  Detailed description ________________________________________________________ 113 
7.  SCIENCE AND TECHNOLOGY (R&D, PATENTS) ______________________________ 117 
7.1.  General presentation _______________________________________________________ 117 
7.2.  Eurostat publications _______________________________________________________ 118 
7.3.  Data sources _______________________________________________________________ 118 
7.4.  Legal base _________________________________________________________________ 118 
7.5.  Contact person _____________________________________________________________ 118 
7.6.  List of tables _______________________________________________________________ 119 
7.7.  Detailed description ________________________________________________________ 120 
8.  STRUCTURAL BUSINESS STATISTICS _____________________________________ 132 
8.1.  General presentation _______________________________________________________ 132 
8.2.  Eurostat publications _______________________________________________________ 133 
8.3.  Data sources _______________________________________________________________ 133 
8.4.  Legal base _________________________________________________________________ 133 
8.5.  Contact person _____________________________________________________________ 133 
8.6.  List of tables _______________________________________________________________ 133 
8.7.  Detailed description ________________________________________________________ 134 
9.  HEALTH STATISTICS ________________________________________________ 138 
9.1.  General presentation _______________________________________________________ 138 
9.2.  Eurostat publications _______________________________________________________ 146 
9.3.  Data sources _______________________________________________________________ 146 
9.4.  Legal base _________________________________________________________________ 146 
9.5.  Contact person _____________________________________________________________ 147 
9.6.  List of tables _______________________________________________________________ 147 
9.7.  Detailed description ________________________________________________________ 148 
10. TOURISM STATISTICS _______________________________________________ 161 
10.1.  General presentation _______________________________________________________ 161 
10.2.  Eurostat publications _______________________________________________________ 164 
10.3.  Data sources _______________________________________________________________ 164 
10.4.  Legal base _________________________________________________________________ 164 
10.5.  Contact person _____________________________________________________________ 164 
10.6.  List of tables _______________________________________________________________ 165 
10.7.  Detailed description ________________________________________________________ 166 
11. TRANSPORT AND ENERGY STATISTICS____________________________________ 168 
11.1.  General presentation _______________________________________________________ 168 
11.2.  Eurostat publications _______________________________________________________ 169 
11.3.  Data sources _______________________________________________________________ 169 
11.4.  Legal base _________________________________________________________________ 170 
11.5.  Contact person _____________________________________________________________ 171 

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Regional and Urban Statistics – Reference Guide 2006 

11.6.  List of tables _______________________________________________________________ 172 
11.7.  Detailed description ________________________________________________________ 173 
12. ENVIRONMENT STATISTICS ___________________________________________ 185 
12.1.  General presentation _______________________________________________________ 185 
12.2.  Eurostat publications _______________________________________________________ 190 
12.3.  Data sources _______________________________________________________________ 190 
12.4.  Legal base _________________________________________________________________ 191 
12.5.  Contact person _____________________________________________________________ 191 
12.6.  List of tables _______________________________________________________________ 191 
12.7.  Detailed description ________________________________________________________ 192 

III.  DETAILED DESCRIPTION OF THE URBAN AUDIT DATABASE ______ 197 

1. 
2. 
3. 
4. 
5. 
6. 
7. 

General presentation _______________________________________________________ 197 
Eurostat publications _______________________________________________________ 204 
Data sources _______________________________________________________________ 204 
Legal base _________________________________________________________________ 204 
Contact person _____________________________________________________________ 204 
List of tables _______________________________________________________________ 204 
Detailed description ________________________________________________________ 205 

ANNEX:   OVERVIEW OF ALL TABLES ___________________________ 233 

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Regional and Urban Statistics – Reference Guide 2006 

I.  REGIONAL DATA - AN OVERVIEW 

Eurostat's  regional  statistics  cover  the  principal  aspects  of  the  economic  and  social  life  of 

the  European  Union,  including  demography,  economic  accounts,  employment  and  unem-

ployment. The concepts and definitions used are as close as possible to those used by Eu-

rostat for the production or collection of statistics at national level. 

Part  I  of  the  guide  describes  the  territorial  classification  NUTS,  answers  frequently  asked 

questions, gives an overview of the publications related to regional statistics, and provides 

details of contact persons for further information. 

In part II of the reference guide, the contents of the Eurostat database of regional statistics 

REGIO  is  described  comprehensively.  All  in  all,  there  are  currently  211  tables  in  REGIO, 

146 for EU Member States and 65 for non EU-25 countries. An alphabetical overview of all 

tables can be found in the annex. 

The  information  system  for  European  infra-regional  (local)  statistics  (SIRE)  is  mentioned 

briefly in chapter 3 of part I, so that users needing information at a more detailed local level 

are  aware  of  what  is  available  from  this  source.  SIRE  does  not,  however,  form  part  of  the 

regional database and is accordingly not covered elsewhere in this Guide. 

Urban statistics are treated in chapter 4, and the tables of indicators and variables for vari-

ous spatial levels of 258 cities are described in detail in part III of this reference guide. A lot 

of very interesting data was collected in 2003 and 2004 in the context of the Urban Audit, 

and  the  data  can  be  accessed  in  Eurostat’s  free  database  in  the  “Urban  Audit”  domain  of 

theme “General and regional statistics”. 

- - -  

For  any  feedback,  methodological  questions  or  suggestions  for  improving  this  reference 

guide, please send an e-mail to: berthold.feldmann@cec.eu.int  

The data can be directly accessed under  

http://epp.eurostat.cec.eu.int/portal/page?_pageid=1996,45323734&_dad=por-

tal&_schema=PORTAL&screen=welcomeref&open=/general&language=en&product=EU_MAI

N_TREE&root=EU_MAIN_TREE&scrollto=0  

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Regional and Urban Statistics – Reference Guide 2006 

1.  Regional breakdown 

1.1. What is a region? 

A  “region”  is  defined  as  a  tract  of  land  with  more  or  less  definitely  marked  boundaries, 
which often serves as an administrative unit below the level of the nation state. 

Regions  have  an  identity  which  is  made  up  of  specific  features  such  as  their  landscape 
(mountains, coast, forest), climate (arid, high-rainfall), language (for example in Belgium, 
Finland,  Spain),  ethnic  origin  (for  example  Wales,  northern  Sweden  and  Finland,  the 
Basque country) or shared history. 

Most, if not all, of the above features may be particularly noticeable in one location but are 
usually to be found to some degree over such a wide area that in themselves they cannot be 
used to mark off one region from another; in other words, the boundaries are "fuzzy". If they 
are to be used for any administrative (or indeed statistical) purpose, however, regions need 
to be given a clear-cut shape. The limits of a region are usually based on one of the follow-
ing: 

a) natural boundaries 

Rivers,  mountains,  sea  or  lake  coasts,  sparsely  populated  areas  such  as  heavy  woodlands 
or marshes. 

All  of  these  are  physical  barriers  that  divide  two  groups  of  people  and  thus  prevent  them 
forming a larger unit. Often in the past, these natural boundaries proved a convenient line 
along which to agree a frontier between competing local powers. In this way, they became 

b) historical boundaries 

Until relatively recent times, much of Europe was a patchwork of dukedoms, principalities, 
free cities, kingdoms, etc.. In a number of cases, some of the scattered territories of the feu-
dal  age  appear  on  the  modern  map  as  enclaves  (Baarle  Nassau,  Llivia,  Busingen,  Ceuta, 
etc). 

Whether these historical frontiers continue to be used as regional boundaries depends often 
on  the  degree  to  which  old  divisions  of  territory  were  retained  during  the  formation  of  the 
nation state. In northern Spain, for example, complex administrative boundaries reflect the 
scattered territories of the Kings of Aragon and Navarre. By contrast, France completely re-
structured  its  administrative  units  under  Napoleon.  During  the  unifications  of  Germany 
and  Italy,  many  of  the  less  powerful  political  units  disappeared  as  recognisable  regions 
while the more powerful retained a function as regions within the new nation state. 

c) administrative boundaries 

The  functions  of  government  (including  initially  defence,  taxation  and  justice)  require  the 
exercise  of  power  by  administrative  units  at  a  lower  level  than  the  nation  state,  either 
through "top-down" devolution of responsibilities or through a federal structure. 

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Regional and Urban Statistics – Reference Guide 2006 

While sometimes these are "natural" or "historical" regions, they are often more or less arbi-
trary units. These communes, counties, provinces, etc. are subject to change, for example to 
reflect political or population trends. Other administrative boundaries often still reflected in 
modern regional structures are religious, such as parishes and bishoprics (among the oldest 
administrative  boundaries),  or  established  to  meet  the  needs  of  democratic  representation 
(wards, electorates). 

1.2. Regions as an administrative concept 

A region is an attempt to group together populations or places with sufficient similarities to 
comprise  a  logical  unit  for  administrative  purposes.  It  is  a  recognition  that  spatial  differ-
ences require appropriate administrative structures. In this context, “administrative struc-
ture” means that an administrative authority has the power to take administrative, budget-
ary  or  policy  decisions  for  the  area  within  the  legal  and  institutional  framework  of  the 
country. 

Ideal requirements for a region 

Appropriate boundaries: 

•  acceptability to the people administered 
•  homogeneity of the unit 
• 

suitable size 

stable boundaries: 

•  permit data collection over an extended time frame (time series) 
•  more meaningful units (people identify with them) 

Local government reorganisation may disrupt this pattern until the new territorial arrange-
ment becomes, in its turn, accepted. 

Hierarchy of regions 

Traditionally, smaller regions have often been administered as part of larger regions, which 
in turn make up the nation state. 

Note: this is not necessarily the same thing as a political hierarchy. Political power may be 
highly centralised in the national capital or may instead be devolved to individual regions. 

Examples of highly devolved regional powers (policymaking regional administrations): 

•  Comunidades Autonómas in Spain 
•  Länder in Germany 
•  Gewesten in Belgium 

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Regional and Urban Statistics – Reference Guide 2006 

1.3. The NUTS classification 

At  the  beginning  of  the  1970s,  Eurostat  set  up  the  “Nomenclature  of  Statistical  Territorial 
Units” (NUTS) as a single, coherent system for dividing up the European Union's territory in 
order to produce regional statistics for the Community. 1 

For  around  thirty  years,  the  implementation  and  updating  of  the  NUTS  classification  was 
managed under a series of “gentleman’s agreements” between the Member States and Euro-
stat, sometimes after long and difficult negotiations. 

Work on a Regulation to give NUTS a legal status started in spring 2000. This NUTS Regu-
lation was then adopted in May 2003.2 and entered into force in July 2003. An amendment 
to the NUTS Regulation due to enlargement was adopted by Council and Parliament in au-
tumn 2005. 

A  particularly  important  goal  of  the  Regulation  is  to  manage  the  inevitable  process  of 
change in the administrative structures of Member States in the smoothest possible way, so 
as to minimise the impact of such changes on the availability and comparability of regional 
statistics. 

1.4. The underlying principles of NUTS 

NUTS favours institutional divisions 

Two types of regional division are usually recognised: 

(cid:138)  normative regions reflect political will; their boundaries are fixed in terms of the remit 
of local authorities and the size of the region's population regarded as corresponding to 
the economically optimal use of the necessary resources to accomplish their tasks; his-
torical factors may also be at the root of an agreement to maintain the autonomy of cer-
tain administrative divisions. 

(cid:138)  Analytical  (or  functional)  regions  are  defined  in  terms  of  particular  analytical  re-
quirements; they categorise areas according to specific geographical criteria such as al-
titude  or  soil  type,  or  by  economic  and  social  criteria  such  as  the  homogeneity,  com-
plementarity or polarisation of regional economies. 

From  a  statistical  point  of  view,  each  of  these  two  types  of  breakdown  has  strengths  and 
weaknesses.  Normative  regions  usually  have  a  statutory  existence  in  the  administrative 
practice of the country concerned. They are clearly defined, usually universally recognised 

1)  For the latest status of NUTS, please see the RAMON classifications server on the Eurostat Inter-
net  site  www.europa.eu.int/comm/eurostat  .  In  order  to  find  RAMON  from  the  Eurostat  home-
page, just choose the language you prefer, then on the new screen locate the tab marked "Meth-
odology", click on it and choose "Eurostat's Classification Server (RAMON)". The URL of the NUTS 
classification is (as at February 2006) 
http://www.europa.eu.int/comm/eurostat/ramon/nuts/splash_regions.html  

2)  See Regulation (EC) No 1059/2003 of the European Parliament and of the Council of 26 May 2003 
on  the  establishment  of  a  common  classification  of  territorial  units  for  statistics  (NUTS)  (Official 
Journal L 154, 21/06/2003)  

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Regional and Urban Statistics – Reference Guide 2006 

and relatively stable. They comprise the structure within which certain levels of government 
exercise their powers, particularly where regional policy is concerned. Normative or admin-
istrative  regions  are  therefore  generally  adopted  by  the  national  statistical  systems  as  the 
most appropriate units for data collection, processing and dissemination. 

The drawback of this approach is that the administrative and historical grounds for defining 
these regions differ widely from country to country. International comparability is therefore 
difficult to achieve, even in terms of area and population. 

As  their  name  suggests,  analytical  or  functional  regions  are  useful  primarily  for  economic 
analysis.  Some  divisions  (employment  or  infrastructure  catchment  areas,  etc.)  are  already 
delineated  and  used  in  some  countries.  Harmonised  application  of  the  rules  for  defining 
these  regions  would  provide  international  comparability,  and  the  spatial  breakdown  itself 
(the map of the units thus defined) is an interesting item of information even without all the 
additional statistics available. Unfortunately, there are as many potential divisions as there 
are subjects for analysis. 

For practical reasons of data availability and regional policy implementation, the NUTS clas-
sification  is  accordingly  based  largely  on  the  institutional  divisions  applied  in  the  Member 
States (normative criterion). 

NUTS favours general geographical units 

As  mentioned  above,  geographical  units  specific  to  certain  fields  of  activity  (such  as  coal-
fields, employment areas, rail traffic zones, agricultural areas, urban areas and so on) can 
be  delineated  and  used  in  some  Member  States.  Almost  by  definition,  however,  the  most 
appropriate regional breakdown for any given indicator (for example "extent of forest cover") 
will be less satisfactory, or even totally unsuitable, for a different indicator, such as "num-
ber of hospital beds". For this reason, such units are excluded from NUTS in favour of gen-
eral geographical units. 

NUTS is a hierarchical classification 

Regional levels (1 to 3) 

NUTS subdivides each Member State into a whole number of regions at NUTS 1 level. Each 
of these is then subdivided into regions at NUTS level 2, and these in turn into regions at 
NUTS level 3. Leaving aside the local level (municipalities), the internal administrative struc-
ture of the Member States is generally based on two of these three main regional levels. This 
existing national administrative structure may be, for example, at NUTS 1 and NUTS 3 lev-
els (respectively the Länder and Kreise in Germany, or at NUTS 2 and NUTS 3 (régions and 
départements in France, Comunidades autónomas and provincias in Spain). 

Providing a complete breakdown, i.e. at all three NUTS levels, therefore means identifying a 
regional  level  for  each  Member  State  in  addition  to  the  two  main  levels  mentioned  above. 
This additional level thus corresponds to a regional structure that is less extensively used 
for  administrative  purposes  -  or  which  may  indeed  be  instituted  solely  for  this  statistical 
purpose,  without  having  any  administrative  function  whatever.  Depending on which levels 
already exist, the additional level may be created at any one of the three NUTS levels. Since 
France,  for  example,  has  functional  administrative  units  at  levels  2  and  3,  the  additional 

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Regional and Urban Statistics – Reference Guide 2006 

level is introduced at NUTS level 1. This is also the case for Italy, Greece and Spain. By con-
trast,  the  additional  "non-administrative"  level  is  at  NUTS  level  2  for  Germany  and  the 
United Kingdom and at NUTS level 3 for Belgium. 

The  NUTS  Regulation  lays  down  the  following  minimum  and  maximum  thresholds  for  the 
average size of the NUTS regions. 

Level 

NUTS 1 

NUTS 2 

NUTS 3 

Minimum 

Maximum 

3 million 

800 000 

150 000 

7 million 

3 million 

800 000 

Local levels 

Until the beginning of the 1990s, the NUTS classification consisted of these three regional 
levels  alone.  Community  policy  may,  however,  be  applied  to areas that are not compatible 
with NUTS. This has long been the case with agriculture, where there have been schemes to 
support  mountainous  or  disadvantaged  agricultural  areas,  and  more  recently  there  have 
been support schemes in other domains such as coastal and urban areas. To meet the de-
mand for statistics linked to the definition, implementation and monitoring of these policies, 
and  the  growing  general  need  for  information  at  local  level,  Eurostat  has  set  up  an  infra-
regional  information  system,  the  first  step  being  to  compile  a  Community  classification  of 
local administrative units (“LAU”) compatible with NUTS. 

Two  further  levels  (baptised  LAU)  have  been  defined  in  accordance  with  the  NUTS  princi-
ples, but only the last and smallest (LAU level 2) has been fixed for all Member States. This 
usually corresponds to the concept of the “municipality”. See also chapter 4 below. 

1.5. Applying NUTS to a particular country 

There  are  several  stages  to  applying  the  classification  to  a  particular  Member  State.  First, 
the administrative structure of the country is analysed. Next, a check is made of whether 
regional data are collected and disseminated on the basis of this regional breakdown, which 
they usually are. The average size (mainly in terms of population) of the units of the various 
existing administrative levels is then analysed to determine where these levels belong in the 
NUTS hierarchy. There are two possible outcomes: 

(cid:138)  the  average  size  of  the  level  examined  corresponds  more  or  less  to  that  of  one  of  the 
NUTS  levels  (average  across  the  other  Member  States  of  the  Union);  in  which  case  the 
administrative  structure  in  question  is  adopted  in  its  entirety,  without  change,  as  the 
NUTS regional breakdown at this level. Of course, given the historical development of the 
regional  structure,  this  may  mean  that  the  size  of  individual  units  in  the  country  con-
cerned  differs  widely  from  the  Community-wide  average  size  of  the  units  registered  at 
this NUTS level; 

(cid:138)  no  administrative  structure  has  an  average  size  similar  to  the  Community  average;  in 
this  case  an  ad  hoc  breakdown,  called  "non-administrative  units",  is  compiled  by 

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Regional and Urban Statistics – Reference Guide 2006 

grouping  together  existing  smaller  administrative  units.  Because there are no historical 
constraints  on  the  regional  breakdown,  Eurostat  pays  much  stricter  attention  in  this 
case to the compliance of all regions with the threshold population values set out in the 
NUTS Regulation. 

The following table shows the number of NUTS regions in the 25 Member States (according 
to the current NUTS-2003 version). Non-administrative levels as defined in annex 2 of the 
NUTS Regulation are in grey. 

Number of NUTS regions 

Level 1 

Level 2 

Level 3 

Belgium  

Czech Republic 

Denmark  

Germany  

Greece  

Spain  

France  

Ireland  

Italy  

Estonia 

Cyprus 

Luxembourg  

Latvia 

Lithuania 

Hungary 

Malta 

The Netherlands 

Austria  

Poland 

Portugal  

Slovenia 

Slovakia 

Finland  

Sweden  

3 

1 

1 

16 

4 

7 

9 

1 

5 

1 

1 

1 

1 

1 

3 

1 

4 

3 

6 

3 

1 

1 

2 

1 

11 

8 

1 

41 

13 

19 

26 

2 

21 

1 

1 

1 

1 

1 

7 

1 

12 

9 

16 

7 

1 

4 

5 

8 

43 

14 

15 

439 

51 

52 

100 

8 

103 

5 

1 

1 

6 

10 

20 

2 

40 

35 

45 

30 

12 

8 

20 

21 

United Kingdom  

EU 25 

12 

89 

37 

254 

133 

1214 

7 

 
 
  
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

1.6. Review of NUTS changes in 2003 

In 2003, the NUTS version of 1999 was adapted as follows: 

Germany 

NUTS level 2 

In  the  Land  Brandenburg,  two  new  regions  have  been  created  at  NUTS  level  2.  These  re-
gions  are  non-administrative.  The  three  NUTS  level  2  regions  in  the  Land  Rheinland-Pfalz 
are now non-administrative, but their territorial extent is unchanged. 

NUTS level 3 

Berlin  forms  only  one  region.  Hannover  City  and  rural  district  have  been  merged  into  one 
region, called "Region Hannover". 

Spain 

NUTS level 2 

The  region  "Ceuta  y  Melilla"  has  been  split  into  2  regions,  "Ceuta"  and  "Melilla",  respec-
tively. 

The labels of several NUTS level 3 regions have been changed to reflect decisions about the 
use of regional languages in Spain. 

Italy 

NUTS level 1 

A  redistribution  of  NUTS  level  2  regions  has  been  made  so  that  the  number  of  regions  at 
level 1 has been reduced from 11 to 5. 

NUTS level 2 

One region has been split, increasing the number of regions by one. The reason for the split 
is  a  decision  by  the  Italian  authorities  that  "autonomous  provinces"  (Bolzano/Bozen  and 
Trento) should be ranked at the same NUTS level 2 as the autonomous regions. 

Portugal 

NUTS level 2 

The  NUTS  level  3  regions  around  the  capital  have  been  redistributed  among  the  NUTS  2 
regions. The number of regions remains the same, but three NUTS level 2 regions have been 
affected by the territorial changes. Basically, Lisboa has been reduced in area and the sur-
rounding NUTS level 2 regions have been enlarged. 

8 

 
Regional and Urban Statistics – Reference Guide 2006 

Finland 

NUTS level 2 

A  redistribution  of  NUTS  level  3  regions  has  been  made  so  that  the  number  of  regions  at 
level 2 has decreased by one. Only two NUTS level 2 regions remain unchanged territorially 
since NUTS99. 

Czech Republic 

The names of NUTS 3 regions have changed. 

Latvia 

A rearrangement has been done around the capital at NUTS level 3. The country now has 6 
regions instead of the previous 5 (only two of which remain unchanged). 

Lithuania 

The names of NUTS 3 regions have changed. 

Hungary 

Three regions at NUTS level 1 have been introduced. 

Poland 

Six regions at NUTS level 1 have been introduced. Some regions at NUTS level 3 have been 
rearranged, in particular within the NUTS 2 region “Slaskie”. 

1.7. NUTS changes in 2006 

2006  is  the  first  year  in  which  a  NUTS  adaptation  will  take  place  under  the  rules  of  the 
NUTS  Regulation  (EC)  1059/2003.  Proposals  for  changes  are  collected  from  the  Member 
States in the first half of the year, from July onwards the Commission will draft a proposal 
for a new version of the NUTS (NUTS-2006). This will need the decision of Commission and 
it will be published in the Official Journal. 

In the interest of the users who want long time series of regional statistics, the Commission 
will try to minimise the number of changes to the NUTS classification. 

All changes that will eventually be decided come into force only 1 January 2008. Until then 
all regional statistics in the public database will follow NUTS 2003. 

9 

 
 
Regional and Urban Statistics – Reference Guide 2006 

1.8. More information on NUTS 

More information on NUTS, the Regulation and its application can be found on the Eurostat 
website, where we have loaded the NUTS classification and where you also find maps of the 
NUTS regions. See http://europa.eu.int/comm/eurostat/ramon/nuts/  

For more information please contact ESTAT-nuts@cec.eu.int  

2.  The statistical collections 

2.1. Dataflow into Eurostat's statistical databases 

For some years now, the standard model for the data flow has been as follows (see the dia-
gram below): 

Data 
producer

Data 
producer

Data 
producer

Data from National Statistical Office

1

2

Production database 
in 
THEMATIC Unit

REGIONAL 
production 
database (OERM)

Dissemination 
database
- not regional -

Dissemination 
database
"REGIONS"

First,  the  data  from  various  na-
tional  sources  is  bundled  in  the 
National  Statistical  Office  of 
each  country  and  then  sent  to 
the  thematic  units  of  Eurostat, 
who  validate the data. This data 
set is then loaded into Eurostat's 
statistical  databases  by  the  the-
matic  unit  in  question.  The  Re-
gional  Statistics  Section  copies 
this  information  from  the  the-
matic  domain  into  the  Regions 
domain  of  Eurostat's  statistical 
databases.  This  is  option  1  in 
the diagram. 

then,  after 

However,  option  2  shown  in  the 
diagram  (data  is  sent  directly  to 
the  regional  team  of  Eurostat 
and 
validation, 
loaded  into  the  Regions  domain 
of  our  statistical databases) also 
exists 
for  certain  collections, 
mainly  regional  accounts  and 
labour market statistics. 

2.2. The collections of regional statistics in REGIO 

The  regional  data  base  domain  "Regions"  in  Eurostat's  statistical  databases  is  structured 
into 12 datasets known as collections. Each collection consists of groups which then con-

10 

 
Regional and Urban Statistics – Reference Guide 2006 

tain the tables (a group may be further split into different "subjects" which then contain the 
tables). The twelve collections are: 

agri-r 

demo-r 

econ-r 

educ-r 

env-r 

migr-r 

rd 

lm-r 

sbs-r 

Agriculture 

Demographic statistics 

Economic accounts 

Education statistics 

Environment statistics 

Migration statistics 

Science and Technology (research and development, patents) 

Labour market statistics 

Structural business statistics 

health-r 

Health statistics 

tour-r 

Tourism statistics 

tran_enr 

Transport and energy statistics 

Moving  on  from  the  collections  to  the  individual  tables  they  contain,  these  are  usually 
named by taking the first one or two letters of the collection title, then the level of NUTS at 
which the data for this table was collected, then an abbreviation of the title of the table, for 
example 

e2gdp95  collection "economic accounts" NUTS level 2, Gross domestic product 

according to ESA95 at market prices 

Most tables have three or four dimensions, some have more. One dimension corresponds to 
the  regional  breakdown  (NUTS)  and  another  to  the  time  (TIME).  In  the  description  of  each 
table, the keywords used for the other dimensions are indicated. 

Please  note:  Data  concerning  the  French  overseas  departments  DOM  are  not  included  in 
the totals for France or for EU-25 except for regional accounts data and for regional labour 
market data. From 1991 onwards, Germany means “Germany after reunification”; for popu-
lation, however, this is valid from 1990 onwards. 

2.3. Candidate country data 

As  early  as  1999,  as  part  of  a  PHARE-funded  project  which received  the wholehearted co-
operation of the NSIs in the countries concerned, many regional statistics for the candidate 
countries were collected and stored in the database. This enriched the information content 
of our statistical databases considerably. 

It was decided to have these data in separate tables in REGIO of New Cronos, so that there 
is no confusion with EU data. To this end, the table codes for candidate countries were pre-
ceded by "X". After accession to the EU of ten countries in May 2004, all tables for the ac-
ceding countries concerned were moved into the Member State tables, so that all tables now 
contain regional statistics of 25 countries. 

11 

 
 
Regional and Urban Statistics – Reference Guide 2006 

The tables preceded by “X” continue to exist for data from Bulgaria, Croatia, Romania, Tur-
key  (for  the  moment  very  few  data  available)  and  additionally  for  regional  data  from  EFTA 
countries. Also data for any future candidate countries will be found here. 

3.  Local administrative units 

3.1. SIRE - European infra-regional information system 

In addition to the collections of regional statistical data, Eurostat also has some data for the 
local  administrative  units  (communal  level,  LAU).  There  is  a  separate  collection  for  local 
data, called SIRE (European infra-regional information system), which is described solely in 
this  chapter,  not  in  the  remainder  of  the  Reference  Guide,  given  that  SIRE  does  not  form 
part  of  the  Regions  domain.  The  SIRE  database,  which  is  not  publicly  available  but  is  in-
stead  restricted  to  users  inside  the  European  Commission,  consists  of  a  classification  for 
local administrative units (LAU level 1 and 2, formerly NUTS level 4 and NUTS level 5) and 
statistical  data  from  the  decennial  population  censuses.  Flags  denoting  eligibility  for  the 
structural  funds  (EU  Regional  policy)  are  also  available.  The  number  of  LAU  is  around 
112 000 in EU-25 and an additional 50 000 in EFTA and the candidate countries. 

Since  there  are  frequent  changes  to  the  local  administrative  units,  Eurostat  has  a  system 
for management of the classification over time. Some countries have very frequent changes 
of their LAU while other countries virtually never change them. Efforts to keep track of the 
changes  in  LAU  are  therefore  concentrated  in  just  a  few  countries  (primarily  the  United 
Kingdom and Germany). No attempt is made to link data from different censuses in a com-
prehensive manner. Links to the regional NUTS levels are inherent in the Community codes 
of LAU. 

The  NUTS  Regulation  has  a  provision  for  EU  Member  States  to  send lists of LAU to Euro-
stat. A new version of the lists with codes and names as of 1/1/2005 is published on the 
Internet in early 2006. See http://europa.eu.int/comm/eurostat/ramon/nuts/lau_en.html  

3.2. Population and housing censuses 

SIRE  contains  statistical  data  from  the  population  and  housing  censuses  with  an  update 
frequency  of  10  years.  Censuses  are  not  held  at  the  same  date  in  each  of  the  Member 
States. The time span from the earliest census of a census round to that of the last country 
to  conduct  one  is  about  3  years.  Currently,  data  from  the  1981  and  1991  census  rounds 
have  been  loaded.  Collection,  validation  and  loading  of  2001  census  data  has  been  com-
pleted for some countries and will continue for remaining countries during 2006. Because 
of  different  census  dates  in  the  Member  States,  the  tables  will  not  be  complete  before  the 
end of 2006 at the earliest. 

Around 30 variables are collected from the population censuses. They include total popula-
tion, sex and age distribution, economic activity of the population, number of households, 
dwellings with tenure status, and level of education. For reasons of confidentiality, data for 
small  communes  may  be  suppressed  by  some  Member  States.  The  variable  "total  popula-

12 

 
Regional and Urban Statistics – Reference Guide 2006 

tion" is available for all communes, however. Surface area for the LAU is also available for 
all communes. Some countries do not conduct population censuses, but retrieve compara-
ble information from registers and other administrative records. It is not possible to retrieve 
all variables in the table programme from all countries. There is no legal basis for the collec-
tion  of  data  for  LAU.  More  detailed  information  can  be  found  in  the  "Guidelines  and  table 
programme  for  the  Community  programme  of  population  and  housing  censuses  in  2001" 
(Eurostat Theme 3, 1999) and in the internal document "SIRE European infra-regional in-
formation system. Description of the SIRE data" (Eurostat December 2004). 

4.  Urban statistics 

4.1. Data availability so far 

In June 1999, the Commission conducted a tentative data collection of comparable indica-
tors in European cities. This so called "Urban Audit" was designed as a pilot project, which 
means that no final results were expected from the exercise. Its purpose was rather to test 
the feasibility of the approach and to learn for the future from possible errors in the design. 
Over the entire EU, around 480 variables were collected for the 58 largest cities - although 
London and Paris were omitted since they were considered too difficult to cope with. 

After the completion of the Urban Audit in 2001, the Commission decided that there was a 
clear need to continue and improve this approach of collecting comparable information on 
urban  developments.  The  results  of  the  pilot  phase  were  evaluated  thoroughly,  involving 
statistical  experts  from  city  organisations  and  Eurostat  experts  for  a  number  of  specific 
fields.  This  evaluation  led  to  several  conclusions  concerning  the  list  of  variables  collected, 
the list of participating cities, and the spatial dimension. 

The new data collection for Urban Audit took place in 2003 for the old Member States and 
in 2004 for the new Member States. It had the following characteristics: 

Variables 

333  variables  were  defined  for  this  exercise.  They  were  classified  into  key  variables  and 
standard variables. The Member States were asked to send all data that was already avail-
able  in  the  national  statistical  system  plus  data  for  all  variables  that,  while  not  currently 
available,  could  nevertheless  be  estimated  with  reasonable  accuracy.  This  approach  left  a 
third  group  of  variables – those that were neither available nor able to be estimated. After 
some thorough reflection, it was decided that a fresh survey would be too costly. 

The list of variables is given in the appropriate chapter below. The reference year for this 
data collection was 2001. 

Choice of cities 

In the Urban Audit pilot phase, it was decided to exclude London and Paris. These two cities 
were however part of the Urban Audit 2003 data collection. 

In  addition,  there  was  a  specific  focus  on  medium-sized  cities  (50 000  to  250 000  inhabi-
tants), which were not well covered in the pilot phase, although a large proportion of the EU 

13 

 
Regional and Urban Statistics – Reference Guide 2006 

population lives in such medium-sized cities. Detailed information on the various aspects of 
the quality of life in these cities were considered to be valuable for the development of Euro-
pean urban policy. 

All in all, 258 cities of the European Union (EU-25), plus Bulgaria and Romania took part in 
the  Urban  Audit  2003/2004  project.  The  list  of  cities  is  given  in  the  appropriate  chapter 
below.  For  Turkey  26  cities  have  been  selected  for  Urban  Audit.  Data  for  these  cities  can 
also be found in the public database. 

Spatial units 

There  were  three  levels  of  spatial  unit  for  which  observations  were  collected.  The  first  of 
these is the "central" or "core city", i.e. the administrative unit, for which there is generally a 
rich data set available. Secondly, the larger urban zone (LUZ) was used in order to capture 
information which includes the "hinterland" of the city. Finally, the intra-urban discrepan-
cies were taken into account by gathering data for sub-city districts (SCD). See the “Urban 
Audit” chapter below. 

Time line data 

In  2004,  Euostat  launched  the  collection  of  “historic”  data,  i.e.  the  collection  of  data  for 
1991 and 1996. Only a reduced number of 80 variables was required. 

Perception survey 

In January 2004, a parallel perception survey was conducted in 31 cities of the old Member 
States. This data is also available in the Eurostat statistical databases. Details are given in 
the appropriate chapter below. 

4.2. Data collection 2006 

Preparations for the next data collection in 2006 are currently intensifying (March 2006). It 
will  be  a  data  collection  of less variables, as variables with a low response rate in the last 
collection were dropped. On the other hand, new variables that were felt to be still missing 
in  order  to  measure  economic 
and  social  phenomena  in  the 
cities will be added. 

Urban Audit variables 2006

new variables
16.5%

dropped 
variables
20.1%

kept variables
63.4%

There will be over 50 more cities 
in  the  2006  data  collection.  The 
definition  of  the  LUZ  (larger  ur-
ban  zone)  will  be  revised  in  cer-
tain cases. 

First  results  of  this  data  collec-
tion  can  be  expected  in  the  be-
ginning of 2007. 

14 

 
Regional and Urban Statistics – Reference Guide 2006 

5.  Frequently asked questions 

5.1. Which version of NUTS 

All data in the Regions domain of Eurostat's statistical databases respects the latest version 
of NUTS, i.e. NUTS 2003. This also applies to tables with regional statistics in other collec-
tions  or domains of Eurostat's dissemination databases. This rule allows the user to com-
pare regions across all possible variables. After enlargement in May 2004, we speak of NUTS 
2003/EU25. This version will remain valid until 31/1/2007. 

5.2. Which level of NUTS 

The standard level of data availability is NUTS level 2. For certain variables, NUTS level 3 is 
also available, but by and large this is the exception. In the case of the new Member States, 
a relatively higher proportion of data at level 3 is available, reflecting the fact that 6 of the 
10  acceding  countries  have  no  level  2  structure.  For  some  statistics  and  some  countries 
only NUTS level 1 is available, but again this is the (regrettable) exception. 

5.3. How has the introduction of the Euro affected tables  

in national currency? 

The  following  provisions,  which  apply  to  all  Eurostat  databases,  concern  those  REGIO  ta-
bles with indicators expressed as monetary values. 

•  On  1st  January  2002,  the  euro  became  the  national  currency  for  the  citizens  of  the 
euro-zone  Member  States  (Belgium,  Germany,  Greece,  Spain,  France,  Ireland,  Italy, 
Luxembourg,  the  Netherlands,  Austria,  Portugal,  Finland).  Between  December  2001 
and 31 January 2002, Eurostat progressively loaded into its databases national time 
series  covering  euro-zone  Member  States  in  euro.  Starting  from  1st  March  2002,  the 
old series have been gradually phased out. 

• 

• 

The existing series in "Euro/ECU" will continue to be produced.  

The  possibility  for  users  to  make  cross-country  comparisons  (and  aggregations)  and 
single  country  time  series  analysis  for  the  euro-zone  Member  States  will  be  main-
tained (see explanations below). 

Since March 2002, Eurostat has published two main families of data series: 

1.  Data expressed in "national currency (including 'euro fixed' series for euro-zone coun-

tries)"; 

2.  Data expressed in "Euro/ECU". 

As before, the natural use of the two sets of data is different and clearly separated. The first 
set of data is used for single country time series analysis (comparison over time), the second 
set of data for cross-country comparisons and aggregations. 

15 

 
 
Regional and Urban Statistics – Reference Guide 2006 

5.4. When are data updated? 

Most  tables  which  come  from  other  thematic  units  inside  Eurostat  are  more  or  less  con-
stantly updated. It is not possible to indicate a specific month for the update. 

Some data are still requested from the Member States by the regional section itself. These 
data requests are sent out annually but the timing in the year depends on the domain. Up-
dating  of  REGIO  tables  takes  place  as  and  when  the  data  is  sent  to  Eurostat,  once  it  has 
been checked by the domain manager and or her/his assistants. 

5.5. Are the data checked for coherence? 

For  each  set  of  indicators  there  are  rules  with  which  the  data  must  comply.  These  are  in 
general basic coherence rules - the subparts of a main indicator cannot possibly total more 
than  the  main  indicator.  However,  some  of  the  data  does  not  comply  with  these  and  the 
domain manager then has to contact the Member State to determine which of the constitu-
ent figures was wrong. 

The domain manager will also check what data is missing and if there is any reason for this. 
Obviously, there is not much point in ringing up Helsinki and saying: "Where are your fig-
ures  for  olive  plantations!"  The  checked  figures  are  then  -  under  normal  circumstances  - 
loaded into Eurostat's statistical databases. 

5.6. Do you have to look for regional data in other than the Regions 

domain of Eurostat's statistical databases? 

No.  This  used  to  be  the  case  several  years  ago  because  a  number  of  Eurostat's  thematic 
units also held regional data in their section of the database. Since 2000, however, a consis-
tent effort has been made to present all European regional data in the Regions domain. 

The only exception to this general rule concerns the nomenclature used: if a set of data uses 
territorial units that deviate massively from NUTS, it is not considered as mature enough for 
the  Regions  domain.  While  in  the  short  term  this  may  mean  not  having  access  to  certain 
data, it is the only way of preserving the collection-to-collection comparability of data within 
the Regions domain. 

5.7. Do the tables include data for all EU-25 regions? 

Yes. Data for all regions of EU-25 are in one single table for each statistical topic. Data are 
comparable  between  old  and  new  Member  States.  Data  for  the  remaining  candidate coun-
tries are stored in separate “X” tables. 

16 

 
Regional and Urban Statistics – Reference Guide 2006 

6.  Methodological Examples 

Please note: The following chapters refer not only to EU countries but also to the candidate 
countries. However, the NUTS classification is only valid for EU Member States; in the case 
of candidate countries, one should refer to SRE (Statistical Regions of Europe). Both classi-
fications are based on the same requirements and assumptions and are therefore compara-
ble. 

Furthermore, ESA95 is a Council Regulation that applies only to EU Member States, how-
ever, the candidate countries are also participating in the ESA95 delivery program. 

6.1  The Estimation of Regional GDP 

From 2000 onwards, Eurostat has carried out estimations for regional GDP on the basis of 
the  ESA95  national  and  regional  accounts  figures,  starting  with  the  reference  year  1995. 
Before the end of each year, data are delivered by Member States for the reference year t-2. 
After  processing  the  data  within  Eurostat,  they  are  made  available  (e.g.  in  January  2007, 
data  are  published  for  2004).  The  data  are  available  in  the  Regions  domain  under  the 
names "E2GDP95" and "E3GDP95" for EU countries and "XEGDP" for Non-EU-25 countries. 

In  order  to  obtain  figures  per  inhabitant,  the  figures  from  regional  accounts,  i.e.  GDP  in 
Ecu/Euro (and PPS) are divided by regional average population figures referring to the same 
year. 

The methodology for regionalising the national GDP is the same as in previous years, i.e. the 
regional breakdown is made according to the most recent data on the regional structure of 
gross  value  added  (GVA)  at  basic  prices,  which  is  the  concept  introduced  by  ESA95.  The 
GVA figures on which this regionalisation is based are so far without correction for financial 
intermediation  services  indirectly  measured  (FISIM).  In  the  course  of  2006,  this  will 
change for most countries. 

The  GDP  estimation  algorithm  usually  follows  a  bottom-up  approach,  i.e.  firstly  estimates 
are made for NUTS level 3 regions, then for NUTS level 2 regions, and finally for the NUTS 1 
regions. If GVA for a given year is not available at NUTS 3, the figures at the NUTS 2 level 
are broken down using the regional structure of the latest available year. Where Extra-Regio 
data are available, the corresponding GVA is allocated proportionally to all the regions of the 
country concerned. 

Regional GDP is expressed in both Ecu/Euro and PPS (purchasing power standards). Cur-
rent  European  structural  policy  rules  call  for  per  inhabitant  figures  rather  than  regional 
GDP values per se. In order to derive values for these indicators, regional GDP estimates are 
divided  by  the  corresponding  average  annual  population.  In  order  to  make  sure  that  re-
gional  accounts  figures  are  consistent  with  national  accounts  figures,  regional  population 
figures are adjusted in such a way that the sum of all regions of a country equals the popu-
lation figure published by national accounts. 

This  estimation  procedure  features  a  number  of  important  assumptions  and  interesting 
characteristics.  

17 

 
Regional and Urban Statistics – Reference Guide 2006 

The basic assumption is that the regional GVA structure tallies with the regional GDP struc-
ture.  

Furthermore, use of national purchasing power parities (PPPs) is based on the assumption 
that there are no purchasing power disparities between the regions within individual coun-
tries, or that any such discrepancies are negligible. Although this assumption may not ap-
pear entirely realistic, it is inevitable in view of the available data. Regional GVA figures pro-
vide  sound  basic  data.  They  are  compiled  by  EU  Member  States  and  candidate  countries 
and checked for consistency by Eurostat. Different national survey procedures and process-
ing  methods  are  not  necessarily  a  cause  for  concern,  provided  results  are  comparable  in 
terms of accuracy. 

To be able to provide a maximum of transparency with regard to national methods, the na-
tional  statistical  offices  have  produced  Quality  Reports  for  regional  GVA  for  all  Member 
States, where the methods applied in each country are described in detail.  

Estimation problems occur in some cases with "nowcasts". Experience has shown that there 
is  never  a  point  in  time  during  year  t+2  at  which  all  countries  are  able  to  supply  data  on 
GVA structure for year t at all regional levels, which could then be used to estimate the re-
gional GDP values of year t. Similar problems occasionally occur with data on average popu-
lation,  particularly  at  NUTS  3  level.  In  order  to  ensure  that  estimates  can  nevertheless  be 
calculated for year t, in such cases the GVA structure of year t-1 or earlier years is assumed 
to be stable. This means that estimates are based not on the GVA or population structure of 
year t, but on the last available structure.  

6.2. Regional Unemployment Rates 

Definitions 

The main source for regional labour market data is the European Union Labour Force Sur-
vey (LFS). The definitions of the survey’s indicators follow the definitions and recommenda-
tions of the International Labour Organisation (ILO). 

Employed persons are all persons aged 15 and over who during the reference week worked 
at least one hour for pay or profit, or were temporarily absent from such work. Family work-
ers are included. 

Unemployed persons comprise persons aged 15-74 who were (all three conditions must be 
fulfilled simultaneously): 

1.  without work during the reference week; 

2.  available  for  work  at  the  time  (i.e.  were  available  for  paid  employment  or  self-

employment before the end of the two weeks following the reference week);  

3.  actively  seeking  work  (i.e.  had  taken  specific  steps  in  the  four-week  period  ending 
with the reference week to seek paid employment or self-employment) or who found 
a job to start within a period of at most three months. 

Economically  active  population  (sometimes  labelled  also  as  labour  force,  active  population 
or active persons) comprises employed and unemployed persons. 

18 

 
Regional and Urban Statistics – Reference Guide 2006 

Unemployment  rate  represents  unemployed  persons  as  a  percentage  of  the  economically 
active population. 

The unemployment rate can be broken down further by age and sex. The youth unemploy-
ment rate relates to persons aged 15-24.  

Unemployment rates down to NUTS level 2 

Down to NUTS level 2, the unemployment rates as all the regional labour market data pro-
vided by Eurostat are derived from the LFS. 

Unemployment rates at NUTS level 3 

LFS  NUTS  level 2 absolute unemployment and economically active population figures bro-
ken  down  by  sex  and  age  (15-24,  25  and  over)  are  divided  between  NUTS  level  3  regions 
according to the distribution of NUTS level 3 absolute unemployment and economically ac-
tive  population  figures  by  sex  and  age  (15-24,  25  and  over)  provided  by  countries.  Unem-
ployment rates at NUTS level 3 are calculated subsequently by program. 

The source of the NUTS level 3 absolute unemployment and economically active population 
data provided by countries and used when attributing LFS NUTS level 2 absolute figures to 
NUTS  level  3  depends  very  much  on  the  country.  The  source  can  be  LFS  annual  average 
figures, LFS three-year average figures, reliable register figures or other reliable source. 

7.  Outline of the collection descriptions 

Each of the following chapters in the Reference guide is devoted to a separate collection in 
the Regions domain, informing the reader about these aspects of each collection: 

(cid:214)  General presentation 

This gives a general description of the contents of the collection, including if possible some 
definitions and methodological explanations. 

(cid:214)  Corresponding Publications 

A list of Eurostat publications that contain data from this collection. 

(cid:214)  Data source 

This chapter gives an indication of where the particular data in this collection come from. 

(cid:214)  Legal base 

This indicates whether collection of the statistics is based on Community law or on a gen-
tleman’s agreement. 

19 

 
Regional and Urban Statistics – Reference Guide 2006 

(cid:214)  Contact person 

This indicates the domain manager inside the team who is responsible for the data set of a 
given collection.  

(cid:214)  List of tables 

An enumeration of the available tables in this collection. 

(cid:214)  Detailed Description 

This last chapter shows in detail all the dimensions and the content of the various tables in 
the collection. 

8.  Organisational set up and contact persons 

All  regional  statistics  inside  Eurostat  are  collected,  stored  and  disseminated  by  the  "Re-
gional  Statistics"  section  in  unit  D2  “Regional  Indicators and geographical information” of 
Eurostat. Apart from regional statistics, unit D2 also comprises the geographical information 
is  Mr  Roger  Cubitt,  e-mail: 
team 
system 
roger.cubitt@cec.eu.int  

(GISCO).  The  head  of  unit  of  D2 

In September 2005 it was decided that the regional accounts part of the section would be 
moved to the responsibility of unit C2. This has however no effect on the content of the da-
tabase or on the contact persons. It is purely internal. 

Although  the  staff  may  change  over  time,  the  overview  gives  an  indication  as  to  who  does 
what within the section on Regional Statistics. 

The Regional Section in unit D2

Regional and Urban Statistics
Regional and Urban Statistics
Berthold Feldmann
Berthold Feldmann

Database &
Database &
Dissemination
Dissemination

Concepts 
Concepts 
and Analysis
and Analysis

Secretariat
Secretariat
Eva Burzova
Eva Burzova

Urban Audit,
Urban Audit,
Demography
Demography
Berthold Huber 
Berthold Huber 

Agriculture
Agriculture
FernandeKlapp
FernandeKlapp

R&D, Health,
R&D, Health,
Business, Education
Business, Education
Filipe Alves
Filipe Alves

Regional Yearbook,
Regional Yearbook,
Labour Market
Labour Market
ÅsaÖnnerfors
ÅsaÖnnerfors

Urban Audit,
Urban Audit,
Dissemination
Dissemination
Dora Brandmüller
Dora Brandmüller

NUTS, 
NUTS, 
Local Units
Local Units
TorbiörnCarlquist
TorbiörnCarlquist

Labour Market
Labour Market
Michal Mlady
Michal Mlady

20 

 
 
 
Regional and Urban Statistics – Reference Guide 2006 

The following table gives an overview of the section’s domain managers’ responsibilities for 
the various thematic collections of regional statistics. It should be born in mind that meth-
odological questions should be addressed to the specialists in the thematic units. In order 
to make it easier to contact them, the e-mail addresses are given: 

Contact points for Regional Statistics 

Topic 

Domain manager 

Methodological specialist 

Agriculture 

fernande.klapp@cec.eu.int  

Eurofarm data: 
pol.marquer@cec.eu.int 

Agricultural accounts:  
peter.szabo@cec.eu.int  

Milk statistics: 
garry.mahon@cec.eu.int  

Land use: 
pascal.jacques@cec.eu.int  

Crop production: 
celine.ollier@cec.eu.int  

Livestock: 
garry.mahon@cec.eu.int  

Demography 
and 
migration 

Economic 
accounts 

Labour 
market 

Science and 
Technology, 
patents 

Structural 
business 
statistics 

Health 
statistics 

Education 
statistics 

Tourism 
statistics 

Transport 
statistics 

Environment 
statistics 

berthold.huber@cec.eu.int  

Demography:  
giampaolo.lanzieri@cec.eu.int  

Migration: david.thorogood@cec.eu.int  

stergiani.kalmpurtzi@cec.eu.int  

andreas.krueger@cec.eu.int 

asa.onnerfors@cec.eu.int  

filipe.alves@cec.eu.int  

michal.mlady@cec.eu.int  

ana.franco@cec.eu.int 

august.goetzfried@cec.eu.int  

R&D simona.frank@cec.eu.int  

Patents bernard.felix@cec.eu.int  

HRST hakan.wilen@cec.eu.int  

filipe.alves@cec.eu.int 

petra.sneijers@cec.eu.int 

filipe.alves@cec.eu.int 

marleen.desmedt@cec.eu.int 
didier.dupre@cec.eu.int  

filipe.alves@cec.eu.int 

lene.mejer@cec.eu.int  

filipe.alves@cec.eu.int 

francois.bovagnet@cec.eu.int  

filipe.alves@cec.eu.int 

carla.sciullo @cec.eu.int 

filipe.alves@cec.eu.int 

juergen.foerster@cec.eu.int  

21 

 
Regional and Urban Statistics – Reference Guide 2006 

9.  Regional Statistics Publications 

Apart  from  this  reference  guide,  there  are  two  quite  different  publications  that  present  re-
gional statistics in all its variety: The "Portraits of the Regions" and the "Regional Yearbook". 
Classifications are published separately. 

9.1. Portrait of the Regions 

The paper version 

This  publication,  which  consists  of  11  volumes,  was  designed  to  present  a  fully  rounded 
picture of individual regions across Europe. On the basis of a uniform collection of statisti-
cal  data  on  a  range  of  economic  and  social  indicators,  experts  in  the  countries  concerned 
review  each  region  under  a  number  of  headings.  These  regional  topical  profiles,  enhanced 
by photographs, maps, diagrams and statistical tables, describe the geography and history 
of  the  region,  before  going  on  to  assess  its  strengths  and  weaknesses  in  terms  of  demo-
graphic, economic and cultural issues. Among the aspects examined are the labour market, 
education, infrastructure and resources. 

In 1993, the first three volumes appeared, devoted to the then 12 Member States. Volume 1 
covered  Germany,  the  Benelux  and  Denmark,  Volume  2  France,  the  United  Kingdom  and 
Ireland and Volume 3 Portugal, Spain, Italy and Greece. Work started soon after on a fourth 
volume  which  examined  the  regions  of  the  EFTA  countries  -  Austria,  Finland,  Sweden  (all 
Member States in 1996 when the book was published), Iceland, Liechtenstein, Norway and 
Switzerland.  As  with  the  first  3  volumes,  Volume  4  was  published  in  English,  French  and 
German, and the same pattern was adopted for the fifth volume on Hungary in 1997. 

Throughout  1997  and  1998,  work  continued  on  profiles  for  PHARE  countries.  Unfortu-
nately, extensive redrawing of the statistical regions in these countries often reduced in the 
end the value of the book coverage. Anyhow, this series of activities led to the publication in 
2000/2001 of the following "Portraits": 

Volume 
6 
7 
8 
9 
10 

11 

Countries 
Poland and the Czech Republic 
Slovakia 
Estonia, Latvia and Lithuania 
Slovenia 
Bulgaria 

Romania 

These were published only in English. They also differ from the earlier publications in that 
Volumes 8 and 9 are entirely at level 3 and Volume 10 has coverage at both level 2 (plan-
ning regions) and level 3 (oblasti). 

The web version 

Updated  versions  of  the  regional  profiles  were  produced  in  2004  and  2005.  They  are  pre-
sented on the internet free of charge in a specially designed and easily navigable section of 

22 

 
Regional and Urban Statistics – Reference Guide 2006 

the Eurostat website, which was opened in September 2005. See 
http://forum.europa.eu.int/irc/dsis/regportraits/info/data/en/index.htm  

9.2. The regional yearbook 

The concept of this publication was radically changed in 2000. It now consists of three lan-
guage  versions  (German,  English  and  French)  and contains a series of sections examining 
individual collections from the Regions domain. In each section, coloured maps, as well as 
graphs and commentaries, give the reader as full a picture as possible of the regional distri-
butions  of  the  indicator  or  combination  of  indicators  studied.  Users  can  access  and  ma-
nipulate the data electronically because they are stored on a CD-ROM that comes with the 
publication. The yearbook is produced each year in early summer and comes on the market 
by September. Candidate country data have been incorporated since the 2001 Yearbook. 

9.3. Statistics in Focus 

Several  8  to  12  page  brochures,  called  "Statistics  in  Focus"  (SiF)  are  scheduled  over  the 
course of a year. The SiFs on Regional GDP and household accounts are now published in 
unit C2. The regional statistics' section continues to publish each year regional unemploy-
ment data in a SiF, usually in October each year. More SiFs are published in the course of 
the year if there is a particularly interesting subject to present. 

9.4. Classifications 

The classifications of territorial units on levels 1 to 3 are published intermittently by Euro-
stat in Theme 1 (General statistics). The NUTS, covering EU members, is in one publication, 
and "Statistical Regions", covering EFTA countries and candidate countries, are in another 
publication. The classifications are also available on the RAMON server of Eurostat. 

These publications contain the list of territorial units with Community codes and names of 
the regions. The hierarchical structure of the classification is the backbone of the lists. Sup-
porting maps are available for each country. 

A  description  of  the  evolution  of  NUTS  from  1981  to  1999  was  published  in  2002  (Cata-
logue No: KS-BD-02-002-EN-N). It is only available in PDF format and can be downloaded 
from the Internet 
002/EN/KS-BD-02-002-EN.PDF 

 http://epp.eurostat.cec.eu.int/cache/ITY_OFFPUB/KS-BD-02-

Current versions 

Nomenclature of territorial units for statistics – NUTS 
(only in PDF format) 

Statistical Regions in the EFTA countries and the  
candidate countries (only in PDF format) 

Date 

Aug 2004 

Dec 2001 

23 

 
 
 
Regional and Urban Statistics – Reference Guide 2006 

An  update  of  the  document  “statistical  regions”  is  planned  for  2006  in  order  to  reflect  the 
enlargement  of  the  EU  and  the  extension  of  the  candidate  country  list.  A  classification  of 
Local  Administrative  Units  (LAU)  was  published  on  the  Internet  in  early  2004  and  will  be 
update annually. Note that the most up-to-date version can be found on the RAMON classi-
fications server of Eurostat. 

9.5. Urban Audit Handbook 

In 2004, a methodological handbook of the Urban Audit data collection was published. This 
Handbook  provides  both  the  information  required  by  the  data  suppliers  to  achieve  coher-
ence and comparability of the Urban Audit data on the one hand, and helps users under-
stand the methods that have been applied in data compilation, and assess the relevance of 
the  data  for  their  own  purposes  on  the  other.  The  Handbook  contains  descriptions  of  the 
relevant aspects of the Urban Audit project, i.e. the method for selection of spatial units for 
the  three  spatial  levels  (Administrative  City,  Larger  Urban  Zone  and  Sub-City  District)  per 
country,  the  list  of  participating  towns  /  cities,  the  glossary  of  variables  and  indicators 
(definitions and references) and basic information on the estimation methods applied.  

It can be downloaded free of charge from the Eurostat web site. See 
http://epp.eurostat.cec.eu.int/portal/page?_pageid=1073,1135281,1073_1135295&_dad=p
ortal&_schema=PORTAL&p_product_code=KS-BD-04-002  

In the course of the 2006 data collection, there will be an update of the glossary published 
in summer 2006, followed by a new version of the handbook end of 2006. 

10.  Symbols and abbreviations 

- 
0 
ø 
: 
s 
u 
mio 
hab 
ECU 
EUR 
PPS 
m3 
km 
ha 
kg 
t 
kWh 
TJ 

Not applicable or real zero or zero by default 
Less than half of the unit used 
Average 
Not available 
Eurostat estimate 
unreliable or uncertain data (see explanatory texts) 
Million 
Inhabitant 
European Currency Unit (up to 31.12.1998) 
Euro (from 1.1.1999) 
Purchasing power standard 
Cubic metre 
Kilometre 
Hectare 
Kilogram 
1 000 kilograms 
Kilowatt hour 
Terajoule (=109 Kilojoule) 

24 

 
AWU 
ESU 
LSU 
NAC 
LAU 
CC 

Regional and Urban Statistics – Reference Guide 2006 

Annual work units 
European size unit 
Livestock unit 
National currency 
Local Administrative Units 
Candidate countries, i.e. countries whose applications for member-
ship  has  been  accepted  by  the  Council.  Currently  Bulgaria,  Croa-
tia, Romania, Former Yugoslav Republic of Macedonia and Turkey. 

25 

 
 
Regional and Urban Statistics – Reference Guide 2006 

II. DETAILED DESCRIPTION OF THE 

DATABASE (REGIO) 

1.  Agricultural statistics 

1.1. General presentation 

The agricultural collection of the REGIO database contains several variables such as: agri-
cultural  accounts,  structure  of  agricultural  holdings,  land  use,  some  agricultural  produc-
tion, etc. These will be described in more detail in the following text. 

The data are supplied to Eurostat by theme, on the basis of EU legislation or of gentlemen's 
agreements. The user should refer to the legislation or manuals, which are indicated below 
in  the  corresponding  sections,  to  obtain  detailed  definitions  concerning  the  variables  and 
methodologies  used  for  information,  collection  or  treatment.  This  documentation  refers  to 
data  at  national  level,  and  is  equally  valid for  regional  data.  Any  necessary  adaptations  to 
meet the needs of regional data are mentioned in the texts below. 

Statistical information included in this domain is grouped in tables, the name of which be-
gins with "A" and is followed by a number indicating the NUTS level of the data (here: NUTS 
level 2) and by a suffix referring to the content of the table. 

Land use (tables A2LAND and XALAND) 

The  definitions  are  those  used  in  Eurostat  agricultural  statistics.  Occasional  minor  differ-
ences between national and regional statistics are due to the fact that certain areas that are 
not recorded in the course of agricultural surveys are estimated at national level but cannot 
be regionalized with the same accuracy. 

26 

 
 
Regional and Urban Statistics – Reference Guide 2006 

Crop production (areas harvested, production and yields)  
(tables A2CROPS and XACROPS) 

In principle, the data correspond to "harvested" production, including losses and waste on 
the farm, quantities consumed directly on the farm and quantities marketed. 

Livestock (tables A2ANIMAL and XAANIMAL) 

The cattle, pig, sheep and goat populations are taken from the Community livestock surveys 
carried out in December. For Belgium, Germany, the Netherlands and the Czech Republic, 
however, the results of the December survey have been regionalized on the basis of another 
survey carried out during that year. The horse populations are taken from national surveys 
or censuses carried out in either May-June or December. 

Production of cows’ milk on farms (tables A2MILKPR and XAMILKPR) 

Unlike the earlier table A2MILK, Member States are asked to supply data on the milk pro-
duced (not collected) in a particular region. 

If  a  Member  State  cannot  supply  the  data,  Eurostat  (Unit  E2)  estimates  this  (with  the 
agreement of the Member State) using a method which the members of the Working Group 
on Milk and Milk Product Statistics accepted at their meeting on 14-15 November 2001. The 
estimation method is based on the total production of cows’ milk on farms as indicated in 
table C of Decision 97/80/EC, and on the regional distribution of dairy cattle. 

Agricultural accounts at regional level according to EAA 97 Rev 1.1  
(tables A2ACCT97 and XAACCT97) 

The revision of the System of National Accounts in 1995, and the need to adapt to economic 
and  structural  developments  in  the  agricultural  sector,  have  led  to  radical  changes  in  the 
basic  methodology  used  for  the  economic  accounts  for  agriculture.  These  have  been  for-
mally  adopted  by  the  Working  Party  on  Economic  Accounts  for  Agriculture.  The  changes 
have two, often conflicting, targets: to ensure methodological consistency with the ESA, on 
the one hand; and feasibility, on the other. 

Accordingly, a new EAA system was created in 1997. Data according to this accounting sys-
tem is contained in the table A2ACCT97. 

Structure of agricultural holdings by region, main indicators (table A2EFARM) 

This  table  covers  the  main  characteristics  of  the  Community  surveys  on  the  structure  of 
agricultural holdings from 1990 onwards. 

As  from  1990,  Eurostat  receives  data  on  individual  agricultural  holdings  collected  during 
Farm Structure Surveys conducted in all the Member States of the European Union. 

The  data  on  the  structure  of  agricultural  holdings  are  taken  from  the  Community  survey 
1989 -1991 (1989 for Denmark, Spain, Luxembourg and Portugal, 1990 for Belgium, Italy, 

27 

 
Regional and Urban Statistics – Reference Guide 2006 

France, the Netherlands and the United Kingdom, and 1991 for Germany, Greece and Ire-
land), 1993, 1995 and so on, in accordance with the reference date of the surveys. 

1.2. Eurostat publications and databases 

AGRICULTURE, Statistical Yearbook; 

Crop production – Quarterly statistics;  
Crop production – Glossarium; 

Animal production – Quarterly statistics;  
Animal production – Glossarium; 

Manual on economic accounts for agriculture and forestry EAA/EAF 97 (Rev. 1.1), 2000; 

AGRICULTURE – Economic accounts, agriculture and forestry; 

AGRICULTURE – Farm Structure-Methodology of Community surveys,  
Brussels, Luxembourg 1996 

Farm structure – 1999/2000 survey, OPOCE, 2003 

1.3. Data sources 

The  data  for  the  tables  A2LAND  (land  use),  A2CROPS  (crop  production)  and  A2ANIMAL 
(animal  populations)  we  receive  directly  from  the  National  Statistical  Offices  (NSO)  or  the 
Ministries of Agriculture. 

The  data  for  the  remaining  tables  are  requested  from  the  NSO  by  Eurostat  unit  E2,  who 
then forward them to us: 

(cid:138)  A2MILKPR (production of cows’ milk on farms)  

(cid:138)  A2ACCT97 (agricultural accounts at regional level according to EAA 97) and 
A2EFARM (structure of agricultural holdings by region main indicators)  

1.4. Legal base 

For table A2CROPS (crop production): 

Council Regulation (EEC) 837/90, OJ L 88 of 3 April 1990, for cereals; 
Council Regulation (EEC) 959/93, OJ L 98 of 24 April 1993, for other crop products. 

For table A2ANIMAL (livestock) 

Directives 93/23/EEC, 93/24/EEC and 93/25/EEC  
Commission Decisions 2004/760/EC, 2004/761/EC and 2004/747/EC 

For table A2EFARM (Structure of agricultural holdings) 

•  Basic rules on organising the surveys: 2467/96/EC and 571/88/EEC Regulation 

28 

 
 
 
Regional and Urban Statistics – Reference Guide 2006 

•  Definitions of the characteristics 1444/2002/EC Regulation, 2000/115/EC Decision, 

97/418/EC Decision, 96/170/EC Decision, 89/651/EEC Decision 

For table A2MILKPR (Milk production) 

Council Directive 96/16/EC of 19 March 1996 
Directive 2003/107/EC of the European Parliament and of the Council of 5 December 
2003. 

The other tables (A2LAND, A2ACCT97) are based on voluntary data supply. 

1.5. Contact person 

The  contact  person  for  the  regional  agriculture  statistics  is  Ms  Fernande  Klapp,  e-mail: 
fernande.klapp@cec.eu.int . 

For  methodoligical  questions,  the  specialists  in  Directorate  E  should  be  contacted,  in  par-
ticular: 

(cid:138)  Eurofarm data: guenther.tosstorff@cec.eu.int; 
(cid:138)  Agricultural accounts: peter.szabo@cec.eu.int; 
(cid:138)  Milk statistics: garry.mahon@cec.eu.int; 
(cid:138) 
Land use: pascal.jacques@cec.eu.int ; 
(cid:138)  Crop production: celine.ollier@cec.eu.int ; 
(cid:138) 
Livestock: francis.weiler@cec.eu.int  

1.6. List of tables 

EU-Member States 

There are six tables in this collection of the REGIO database: 

A2LAND 
A2CROPS 
A2ANIMAL 
A2MILKPR 
A2ACCT97 
A2EFARM 

Land use 
Crop production (areas harvested, production and yields) 
Livestock (December) 
Production of cows’ milk on farms 
Agricultural accounts at regional level according to EAA97 Rev.1.1 
Structure of agricultural holdings by region, main indicators 

NON-EU25 Countries 

There are five tables in this collection of the REGIO database: 

XALAND 
XACROPS 
XAANIMAL 
XAMILKPR 
XAACCT97 
XAFARM 

Land use 
Crop production (areas harvested, production and yields) 
Livestock (December) 
Production of cows’ milk on farms 
Agricultural accounts at regional level according to EAA97 Rev. 1.1 
Structure of agricultural holdings by region, main indicators 

29 

 
 
 
Regional and Urban Statistics – Reference Guide 2006 

1.7. Detailed description 

Please note:   For NON-EU25 Countries, the territorial units for the 

dimension GEO are not NUTS, but "statistical regions" (SRE).  

A2LAND: 
XALAND: 

Dimensions: 

Land use (in 1.000 ha)  
ditto 

1. 
2. 

GEO 
LANDUSE 
TOTAL 

Geopolitical entities NUTS-2003: at NUTS level 2 
Land use: 

Total area (including inland waters) 

FOREST 
AGRIAREA  

GARDEN 
GRASLAND   
PERMCROP   

Wooded area 
Utilized agricultural area 
Kitchen gardens 
Permanent grassland 
Permanent crops 
Vineyards 
Olive plantations 
Arable land 
Green fodder on arable land 
Fallow land 
from 1974 (yearly) - Member States 
from 1995 (yearly) – NON-EU25 Countries 

VINEYARD 
OLIVEPL 
ARABLAND   

GREENFOD 
FALLOW 

3. 

TIME 

Units: 

1.000 ha 

A2CROPS:  
XACROPS:  

Dimensions: 

Crop production (Areas harvested - Production - Yields ) 
ditto 

1. 
2. 

GEO 
CROPS 

Geopolitical entities NUTS-2003: at NUTS level 2 
Crop production 

  CEREALTOT 
  CEREAL 

  WHEATTOT   

  DURWHEAT 
  SOFTWHEAT 

  RYE 
  BARLEY   
  MAIZEGR  

  RICE  
  MAIZEFOD 
POTATO  

Total cereals (including rice) 
Cereals (excluding rice) 
Soft and durum wheat and spelt 
Durum wheat 
Soft wheat and spelt 
Rye 
Barley 
Grain maize 
Rice 
Green maize 
Potatoes 

30 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3. 

UNIT 

4. 

TIME 

A2ANIMAL:  
XAANIMAL: 

Dimensions: 

1. 
2. 

GEO 
ANIMALS 

Regional and Urban Statistics – Reference Guide 2006 

PULSE   
SUGAR   
OILSEED 
  RAPE  
  SUNFLOW 
  SOYA  
FLAX  
COTTON 
TOBACCO   

PERMCROP   

ORCHARD  
VINEYARD  
OLIVEPL 

Dried pulses (total) 
Sugar beet 
Oilseeds (total) 
Rape and turnip rape 
Sunflower seeds 
Soya beans 
Flax (oilseeds and textile) 
Cotton (oilseeds and textile) 
Tobacco 
Permanent crops 
Orchards (incl. Citrus fruit) 
Vineyards 
Olive plantations 

Units: 
1,000 ha 
U1000HA 
t/ha  
T_HA  
1,000 t 
U1000T  
From 1975 (yearly) - Member States 
from 1995 (yearly) – NON-EU25 Countries 

Livestock (December survey) 
ditto 

Geopolitical entities NUTS-2003: at NUTS level 2 
Animals: 
CATTLE 

CALF  
  CALF_SL 
  CALF_BR_M 
  CALF_BR_F 
BULL1_2Y   
HEIF1_2Y_SL 

HEIF1_2Y_BR 
BULL2Y  
HEIF2Y_SL  

HEIF2Y_BR 
COW  
  COW_DAIRY 
  COW_OTH 
BUFFALO   

PIG  

PIGLET20KG 

Bovines (total) 
Bovines less than 1 year 
Slaughter calves (<1 year) 
Other male calves (<1 year) 
Other female calves (<1 year) 
Male bovines (1-2 years) 
Female bovines for slaughter (1-2 
years) 
Other female bovines (1-2 years) 
Male bovines (2 years and above) 
Slaughter heifers (2 years and 
above) 
Other heifers (2 years and above) 
Cows (total) 
Dairy cows 
Other cows 
Total buffaloes 
Total pigs 
Piglets with less than 20 kg 

31 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

PIG20_50KG 

PIG50KG 
  PIG50_80KG 

  PIG80_110KG   

  PIG110KG 
BOARS   
SOW_BR 
  SOW_FAR2 

  SOW_FAR1   

  SOW_NFAR2 

  SOW_NFAR1  

SHEEP  
GOAT   
EQUID  
POULTRY  

Pigs of 20 kg or more but less 
than 50 kg 
Fattening pigs of 50 kg and over 
Fattening pigs of 50 kg to under 
80kg 
Fattening pigs of 80 kg to under 
110 kg 
Fattening pigs of 110 kg and over 
Breeding boars 
Total breeding sows 
Covered sows 
Sows covered for the first time 
Other sows 
Gilts not yet covered 
Sheep (total) 
Goats (total) 
Equidae (total) 
Poultry (total) 
Total LSU (# Non applicable for 
units = 1000 heads) 

From 1977 (yearly) - Member States 
from 1995 ( yearly) – NON-EU25 Countries 
Units: 
U1000HEAD  
U1000LSU 

1,000 heads 
1,000 LSU (Livestock Units) 

TOTAL 

3. 

TIME: 

4. 

UNIT 

Notes: 

Harmonized  data  on  poultry  are  not  available  at  regional  level,  except  for  the 
years in which an agricultural survey was carried out. 

BE: 
DE: 
NL: 
CZ: 

LV: 

PL: 
SE: 
RO: 

From 2000 onwards: data according to May livestock census. 
From 1999 onwards: data according to May livestock census. 
Data according to May livestock census 
Data according to livestock census refer to 1 March of the following 
year. Data for position “HEIF1_2Y_BR” includes position 
”HEIF1_2Y_SL”. Data for position “HEIF_2Y_BR” includes data for po-
sition “HEIF_2Y_SL” 
1996-1998: Data for position “HEIF1_2Y_SL” includes position 
“HEIF1_2Y_BR”. Data for position “HEIF2Y_SL” includes position 
“HEIF2Y_BR”. 
Goat, equidae: June data. Poultry: above two weeks 
From 1999 onwards: data according to June livestock census 
Data for Cows contains Cows and Buffalo Cows. 

32 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

A2MILKPR 
XAMILKPR 

Dimensions: 

1. 
2.  

GEO  
UNIT  

3. 

TIME 

Production of cows’ milk on farms 
ditto 

Geopolitical entities NUTS-2003: at NUTS level 2 
Units: 
1000t 
U1000T 
From 1996 (yearly) 

A2ACCT97 

Agricultural  accounts  at  regional 

level  according  to  EAA97 

(Rev. 1.1) 

XAACCT97 

ditto 

Dimensions: 

1. 
2. 

GEO 
Geopolitical entities NUTS-2003: at NUTS level 2 
AGRIACCT97: Agricultural accounts according to EAA97 (Rev. 1.1) 
01000 
01100 
01110 
01120 
01200 
01300 
01400 
01500 
01600 
01900 
02000 
02100 
02110 
02120 
02130 
02190 
02200 
02300 
02400 
02900 
03000 
03100 
03200 
03900 
04000 
04100 
04200 
05000 
06000 

Cereals (including seeds) 
Wheat and spelt 
Soft wheat and spelt 
Durum wheat 
Rye and meslin 
Barley 
Oats and summer cereal mixtures 
Grain maize 
Rice 
Other cereals 
Industrial crops 
Oil seeds and oleaginous fruits (including seeds) 
Rape and turnip rape seed 
Sunflower 
Soya 
Other oleaginous products 
Protein crops (including seeds) 
Raw tobacco 
Sugar beet 
Other industrial crops 
Forage plants 
Fodder maize 
Fodder root crops (including forage beet) 
Other forage plants 
Vegetables and horticultural products 
Fresh vegetables 
Plants and flowers 
Potatoes (including seeds) 
Fruits 

33 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
06100 
06200 
06300 
06400 
06500 
07000 
08000 
09000 
10000 
11000 
11100 
11200 
11300 
11400 
11500 
11900 
12000 
12100 
12200 
12900 
13000 
14000 
15000 
16000 
17000 
17100 
17900 
18000 
19000 
19010 
19020 
19030 
19040 
19050 
19060 
19061 

19062 

19063 

19070 
19080 
19090 
19900 
20000 

Regional and Urban Statistics – Reference Guide 2006 

Fresh fruit 
Citrus fruits 
Tropical fruit 
Grapes 
Olives 
Wine 
Olive oil 
Other crop products 
Crop output 
Animals 
Cattle 
Pigs 
Equines 
Sheep and goats 
Poultry 
Other animals 
Animal products 
Milk 
Eggs 
Other animal products 
Animal output 
Agricultural goods output 
Agricultural services output 
Agricultural output 
Secondary activities (inseparable) 
Transformation of agricultural products 
Other non-separable secondary activities (goods and services) 
Output of the agricultural 'industry' 
Total intermediate consumption 
Seeds and planting stock (intermediate consumption) 
Energy; lubricants 
Fertilisers and soil improvers 
Plant protection products, herbicides, insecticides and pesticides 
Veterinary expenses 
Feedingstuffs (intermediate consumption) 
Feedingstuffs (intermediate consumption) -  
feedingstuffs supplied by other agricultural holdings 
Feedingstuffs (intermediate consumption) -  
feedingstuffs purchased from outside the agricultural 'industry' 
Feedingstuffs (intermediate consumption) -  
feedingstuffs produced and consumed by the same holding 
Maintenance of materials 
Maintenance of buildings 
Agricultural services (intermediate consumption) 
Other goods and services 
Gross value added at basic prices 

34 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

21000 
22000 
23000 
24000 
25000 
26000 
27000 
28000 
29000 
30000 
31000 
32000 
33000 
34000 
35000 
36000 
37000 
MVALUE 
01 
02 
03 
04 
CURRENCY 
MIO_EUR 
MIO_NAC 

3. 

4. 

5. 

TIME 

Fixed capital consumption 
Net value added at basic prices 
Compensation of employees 
Other taxes on production 
Other subsidies on production 
Factor income (net value added, at factor cost, of agriculture) 
Operating surplus/mixed income 
Rents and other real estate rental charges to be paid 
Interest paid 
Interest received 
Entrepreneurial income 
Gross fixed capital formation in agricultural products 
Gross fixed capital formation in non-agricultural products 
Gross fixed capital formation (excluding deductible VAT) 
Net fixed capital formation (excluding deductible VAT) 
Changes in stocks 
Capital transfers 
Monetary value 
Value at basic price 
Subsidies on products 
Taxes on products 
Value at producer price 
Currencies/indices 
Millions of EURO 
Millions of national currency (including “euro fixed” series for euro-
zone countries) 
From 1995 (yearly) 

A2EFARM  Structure of agricultural holdings by region, main indicators at NUTS level 2 
XAFARM dito 

Dimensions: 

1. 
2. 

GEO 
LINES 
 1 
 2 
 3 
 4 
 5 
 6 
 7 
 8 
 9 
10 
11 
12 
13 
14 

Geopolitical entities NUTS-2003: at NUTS level 2  
Table lines : Variables related to agricultural holdings 
Total number of holdings 
Total Agricultural area (AA) 
Total standard gross margin (ESU - European Size Unit) 
Number of holdings in less favoured area 
Agricultural area in less favoured area 
Number of holdings in mountain area 
Agricultural area in mountain area 
Number of holdings with less than 5 ha AA 
Number of holdings with 5 to 10 ha AA 
Number of holdings with 10 to 20 ha AA 
Number of holdings with 20 to 30 ha AA 
Number of holdings with 30 to 50 ha AA 
Number of holdings with >=50 ha AA 
Total AA (in ha) of holdings with less than 5 ha AA 

35 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
15 
16 
17 
18 
19 
20 
21 
22 
23 
24 
25 
26 
27 
28 
29 
30 
31 
32 
33 
34 
35 
36 
37 
38 
39 
40 
41 
42 
43 
44 
45 
46 
47 
48 
49 
50 
51 
52 
53 
54 
55 
56 
57 
58 
59 
60 
61 
62 
63 

Regional and Urban Statistics – Reference Guide 2006 

Total AA (in ha) of holdings with 5 to 10 ha AA 
Total AA (in ha) of holdings with 10 to 20 ha AA 
Total AA (in ha) of holdings with 20 to 30 ha AA 
Total AA (in ha) of holdings with 30 to 50 ha AA 
Total AA (in ha) of holdings with >=50 ha AA 
Number of holdings with less than 2 ESU 
Number of holdings with 2 to 4 ESU 
Number of holdings with 4 to 8 ESU 
Number of holdings with 8 to 16 ESU 
Number of holdings with 16 to 40 ESU 
Number of holdings with 40 to 100 ESU 
Number of holdings with 100 ESU and over 
Total AA of holdings with less than 2 ESU 
Total AA of holdings with 2 to 4 ESU 
Total AA of holdings with 4 to 8 ESU 
Total AA of holdings with 8 to 16 ESU 
Total AA of holdings with 16 to 40 ESU 
Total AA of holdings with 40 to 100 ESU 
Total AA of holdings with 100 ESU and over 
AA owner farmed 
AA tenant farmed 
AA share farmed or in other modes of tenure 
Total area (D,E,F,G,H) in ha 
Number of holdings with arable land (D) 
Arable land (in ha) 
AA of holdings with arable land (in ha) 
Number of holdings with cereals (D/01-D/08) 
Cereals (D/01-D/08) (in ha) 
Number of holdings with common wheat and spelt (D/01) 
Common wheat and spelt (in ha) 
Number of holdings with durum wheat (D/02) 
Durum wheat (D/02) (in ha) 
Number of holdings with rye (D/03) 
Rye (D/03) (in ha) 
Number of holdings with barley (D/04) 
Barley (D/04) (in ha) 
Number of holdings with oats (D/05) 
Oats (D/05) (in ha) 
Number of holdings with grain maize (D/06) 
Grain maize (D/06) (in ha) 
Number of holdings with rice (D/07) 
Rice (D/07) (in ha) 
Number of holdings with other cereal (D/08) 
Other cereal (D/08) (in ha) 
Number of holdings with dried vegetables (D/09) 
Dried vegetables (D/09 (in ha) 
Number of holdings with root crops (D/10-D/12) 
Root crops (D/10-D/12) (in ha) 
Number of holdings with potatoes (D/10) 

36 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
64 
65 
66 
67 
68 
69 
70 
71 

72 
73 

74 
75 
76 
77 
78 
79 
80 
81 
82 
83 
84 
85 
86 
87 
88 
89 
90 

91 

92 

93 

94 

95 
96 

97 
98 
99 
100 
101 
102 
103 
104 

Regional and Urban Statistics – Reference Guide 2006 

Potatoes (D/10) (in ha) 
Number of holdings with sugar-beet (D/11) 
Sugar-beet (D/11) (in ha) 
Number of holdings with fodder roots and brassica (D/12) 
fodder roots and brassica (D/12) (in ha) 
Number of holdings with industrial plants (D/13) 
Industrial plants (D/13) (in ha) 
Number of holdings with fresh vegetables, melons and strawberries 
(D/14 + D/15) 
Fresh vegetables, melons and strawberries (D/14 + D/15) (in ha) 
Number of holdings with flowers and ornamental plants (D/16 + 
D/17) 
flowers and ornamental plants (D/16 + D/17) (in ha) 
Number of holdings with forage plants (D/18) 
Forage plants (D/18 (in ha) 
Number of holdings with permanent pasture and meadows (F) 
permanent pasture and meadows (F) (in ha) 
Number of holdings with permanent crops (G) 
Permanent crops (G) (in ha) 
Number of holdings with vineyards (G/04) 
Vineyards (G/04) (in ha) 
Number of holdings with woodland (H/02) 
Woodland (H/02) (in ha) 
Total number of holdings with livestock (J/01-J/19) 
Number of holdings with bovine animals (J/02-J/08) 
Bovine animals (J/02-J/08), number 
Number of holdings with bovine animals under 1 year old (J/02) 
Bovine animals under 1 year old (J/02), number 
Number of holdings with bovine animals 1 year or over but under 2 
years, male (J/03) 
Bovine animals 1 year or over but under 2 years, male (J/03), 
number 
Number of holdings with bovine animals 1 year or over but under 2 
years, female (J/04) 
Bovine animals 1 year or over but under 2 years, female (J/04), 
number 
Number of holdings with bovine animals 2 year old and over, male 
(J/05) 
Bovine animals 2 year old and over, male (J/05), number 
Number of holdings with bovine animals 2 year old and over, heif-
ers (J/06) 
Bovine animals 2 year old and over, heifers (J/06) 
Number of holdings with dairy cows (J/07) 
Dairy cows (J/07), number 
Number of holdings with other cows (J/08) 
Other cows (J/08), number 
Number of holdings with sheep (J/09) 
Sheep (J/09), number 
Number of holdings with goats (J/10) 

37 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
105 
106 
107 
108 
109 
110 
111 

112 

113 
114 
115 
116 
117 
118 
119 
120 
121 
122 
123 
124 
125 
126 
127 
128 
129 
130 
131 
132 
133 
134 
135 
136 

137 
138 
139 
140 
141 
142 
143 
144 
145 
146 
147 
148 
149 
150 

Regional and Urban Statistics – Reference Guide 2006 

Goats (J/10), number 
Number of holdings with pigs (J/11-J/13) 
Pigs (J/11-J/13), number 
Number of holdings with poultry (J/14-J/16) 
Poultry (J/14-J/16) (in 1.000) 
Total labour force (L/01-L/06) in AWU (Annual Work Unit) 
Labour force excluding non-family labour force employed on a non-
regular basis (L/01-L/04) (persons) 
Labour force excluding non-family labour force employed on a non-
regular basis (L/01-L/04), in AWU 
Total family labour force (L/01-L/03) (person) 
Total family labour force (L/01-L/03) in AWU 
Total family labour force full-time employed (L/01-L/03) (person) 
Holder's being a natural person (persons) 
Holder's being a natural person (AWU) 
Holder's being a natural person: age < 35 years (persons) 
Holder's being a natural person: age < 35 years (AWU) 
Holder's being a natural person: age 35 to 44 years (persons) 
Holder's being a natural person: age 35 to 44 years (AWU) 
Holder's being a natural person: age 45 to 54 years (persons) 
Holder's being a natural person: age 45 to 54 years (AWU) 
Holder's being a natural person: age 55 to 64 years (persons) 
Holder's being a natural person: age 55 to 64 years (AWU) 
Holder's being a natural person: age 65 years and over (persons) 
Holder's being a natural person: age 65 years and over(AWU) 
Holder's being a natural person: sex = male (persons) 
Holder's being a natural person: sex = female (persons) 
Holder's being a natural person: work time > 0 to < 25% (persons) 
Holder's being a natural person: work time > 0 to < 25% (AWU) 
Holder's being a natural person: work time > 25 to < 50% (persons) 
Holder's being a natural person: work time > 25 to < 50% (AWU) 
Holder's being a natural person: work time > 50 to < 75% (persons) 
Holder's being a natural person: work time > 50 to < 75% (AWU) 
Holder's being a natural person: work time > 75 to < 100%  
(persons) 
Holder's being a natural person: work time > 75 to < 100% (AWU) 
Holder's being a natural person: work time 100% (persons) 
Holder's being a natural person: work time 100% (AWU) 
Number of holdings with: Specialist field crops 
Number of holdings with: Specialist horticulture 
Number of holdings with: Specialist permanent crops 
Number of holdings with: Specialist grazing livestock 
Number of holdings with: Specialist granivores 
Number of holdings with: Mixed cropping 
Number of holdings with: Mixed livestock holdings 
Number of holdings with: Mixed crops - livestock 
Total AA of holdings with: Specialist field crops 
Total AA of holdings with: Specialist horticulture 
Total AA of holdings with: Specialist permanent crops 

38 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

Total AA of holdings with: Specialist grazing livestock 
Total AA of holdings with: Specialist granivores 
Total AA of holdings with: Mixed cropping 
Total AA of holdings with: Mixed livestock holdings 
Total AA of holdings with: Mixed crops – livestock 

From 1990 onwards 
Year of agricultural survey: 
1990 survey 
1993 survey 
1995 survey 
1997 survey 
2000 survey 

151 
152 
153 
154 
155 

3. 

TIME 

1990 
1993 
1995 
1997 
2000 

Notes: 

For more detailed information on the structure of agricultural holdings surveys 
consult the EUROFARM database. 

39 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

2.  Demographic statistics 

2.1. General presentation 

Definitions on population and area 

In general the statistics refer to the resident population of each country. In accordance with 
this  concept,  persons  normally  resident  in  a  country  but  temporarily  absent  on  business, 
holiday, etc., are included in the total population figure, whilst foreigners temporarily resi-
dent in the country for similar reasons are excluded. Nationality is not taken into considera-
tion when this concept is applied, and foreigners whose usual place of residence is in that 
country  are  included  along  with  the  citizens  of  that  country.  Armed  forces  personnel  and 
members  of  the  diplomatic  corps  of  that  country,  and  their  families,  who  happen  to  be 
abroad are considered as normally resident and are therefore included in the total popula-
tion, whereas foreign armed forces personnel and members of foreign diplomatic corps, and 
their families, are excluded. Merchant seamen who have their domicile in that country, and 
who are working on ships trading abroad, are included. For the United Kingdom exception-
ally, the population includes foreign armed forces personnel. For France metropolitan totals 
are given and when available, figures reported for the DOM are to be found under FR_EXTR. 

Population data 

Table D2JAN80 contains data on 1st of January population for all Member States, with the 
exception of Ireland (mid-April population) and United Kingdom (30 June population). This 
table covers 5-year classes of age for the period 1980 – 1989. 

Table D2JAN contains data on 1st of January by single years of age from 1990 onwards. It 
also includes aggregates for 5-year classes of age. 

Table D3AVG contains data on average population. Most Member States calculate the aver-
age population as the arithmetic mean of the population on 1st January for two consecutive 
years,  with  the  exception  of  Germany  (average  of  12  monthly  figures),  Ireland  (mid-April 
population),  United  Kingdom  (30  June  population),  Denmark,  Spain  and  Netherlands  (1st 
July  registered  population).  From  the  second  half  of  2005  onwards  Eurostat  will  calculate 
the average population according to a harmonised methodology: always the arithmetic mean 
of the population at 1 January for two consecutive years. 

The Member States are carrying out each year population re-evaluations, on the basis of the 
last available Census results, with the exception Belgium, Denmark and Netherlands, where 
the evaluation method is based on their population registers. 

The  average  population  is  principally  used  for  calculating  population  density,  per  capita 
GDP, birth rates and mortality rates. 

Table  D2AVG  gives  the arithmetic mean of the 1st January population by age for two con-
secutive years. 

40 

 
Regional and Urban Statistics – Reference Guide 2006 

Area and population density 

Table  D3AREA  contains  data  on  the  area  of  the  regions  of  the  European  Union.  Two  area 
concepts will be available from second half of 2005 onwards: total area, including the inland 
water,  and  land  area  definition.  Not  all  countries  can  provide  data  according  to  both  con-
cepts.  For  most  countries  the  difference  between  total  and  land  area  is  small.  These  data 
are given in km2 (1 km2 = 100 ha) and are used primarily for the population density (table 
D3DENS). For the moment only one year is available, but from the second half of 2005 on-
wards a time series of surface area will be available. 

Regional scenarios 

Tables D2SCE and SCEN2LF present the regional scenarios on population by sex and age 
groups (NUTS 95) and on labour force by sex and age groups (NUTS 95). 

New population projections based on 2004 as starting point are currently being developed 
at Eurostat. The NUTS 2003 breakdown is applied. The new scenarios will be stored in new 
tables, but the exact layout is not ready (at Feb 2005) and it is not possible to give a date for 
when they will be validated and stored in the database. 

Definitions on population change 

Most data in the Demographic statistics are based on registered information that the Mem-
ber States provide.  

The number of births covers live births. Twins are counted as 2 births, triplets as 3, etc. (if 
all  are  alive).  Table  D3NATMO  contains  an  overview  of  the  natural  population  change,  in-
cluding crude rates. 

The relevant rates contained in the tables, are calculated as follows: 

•  Crude birth rate: is the ratio of live births to the total resident population. 
•  Crude death rate: is the ratio of total deaths to the total resident population. 
• 

Infant mortality rate: ratio of deaths before the age of one to the live births. 

In table d2natag the live births are distributed by age of the mother, by single years and by 
5-year age classes. Table d2morag contains the deceased persons by sex and single year of 
age. 

For  age  of  mothers  and  for  deaths,  there  are  two  age  definitions  in  the  tables:  completed 
years (i.e. age at last birthday) and reached years during the year (i.e. age at 31 December). 

A separate table, d2infmo, deals with infant mortality. 

Census 

Regional  data  from  the  2001  Census  of  Population  and  Housing  have  been  stored  in  the 
REGIO database on a country/table basis.  

There is no legal base for the collection of census data but they were collected on a volun-
tary  base  according  to  the  Table  programme  for  the  Community  Programme  of  Population 
and Housing Censuses in 2001. Each country has carried out a census according to a time 

41 

 
Regional and Urban Statistics – Reference Guide 2006 

plan  agreed in the country. Thus there is a wide dispersion of census dates, ranging from 
March 1999 in France to 2002 in Poland, Ireland and Slovenia. Nevertheless, census data 
from  all  countries  are  considered  to  form  part  of  the  “2000/2001  round”  of  censuses  of 
population  and  housing.  The  only  exception  is  Malta,  which  held  censuses  in  1995  and 
2005.  The  overview  below  indicates  which  reference  dates  have  been  used  in  the  census 
table programme and also what is the source of the data. 

Reference date and type of census 

Country 

Reference 
date 

Type 

Belgium 

dd/mm/2001 

“Enquête” – census-like survey 

Czech Republic 

Denmark 

Germany 

Estonia 

Spain 

Greece 

France 

Ireland 

Italy 

Cyprus 

Latvia 

Lithuania 

Luxembourg 

Hungary 

Malta 

Census 

Registers 

“Micro-census” (sample survey); municipal population registers 

Census 

Census 

Census 

Census 

Census 

Census 

Census 

Census 

Census 

Census 

Census 

- 

The Netherlands 

“Virtual census” - Registers 

Austria 

Poland 

Portugal 

Slovenia 

Slovakia 

Finland 

Sweden 

United Kngdom 

Bulgaria 

Romania 

Croatia 

Turkey 

Iceland 

Liechtenstein 

Norway 

Census 

Census 

Census 

Census 

Census 

Census and registers 

Registers 

Census 

Census 

Census 

Census 

Census 

Regusters 

Census 

Census 

42 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

Switzerland 

Census 

It  has  been  agreed  on  in  the  Statistical  Programme  Committee  of  the  European  Statistical 
System. Depending on the national organisation of the census, some variables may not be 
available. The total headcount is available for all countries, though. Countries which did not 
carry  out  a  census  around  2001  have  collected  similar  information  from  other  sources, 
mainly registers. Out of the 40 tables in the table programme of the censuses of population 
and housing in 2001, tables 29-37 deal with the regional level at NUTS level 3. 

Because the censuses were carried out before the NUTS 2003 version went into effect, the 
tabulation  of  regional  census  data  has  been  done  in  the  countries  according  to  the  NUTS 
division  in  force  at  the  time  of  the  census.  Eurostat  has  made  an  effort  to  re-code  the  re-
gional census tables to NUTS 2003. This has been possible for a large majority of regions, 
but some exceptions exist, due to split regions after the census date. 

The titles of the 9 regional tables are listed below. 

Three  census  tables  concern  the  local  level,  LAU  level  2  (previously  NUTS  level  5).  These 
census tables for the local level will not be stored in the Regional database, but in the SIRE 
database, which is not disseminated. See more about the SIRE database and Local Admin-
istrative Units in the introduction of this reference guide. 

Regional census tables which are included in REGIO (all at NUTS level 3): 

TABLE  29  Usual  resident  population  and  economically  active  population  by  sex,  age  and 

indicator of internal or international migration 

TABLE 30 Usual resident population by sex, group of age, type of household and household 

status 

TABLE  31  Usual  resident  population  by  sex,  group  of  age  and  economical  status  (current 

activity and status of employment) 

TABLE 32 Usual resident population by sex, age group, marital and cohabitational status, 

size of household and selected social indicators 

TABLE 33 Usual resident population by sex, country of citizenship and indicator of birth 

TABLE  34  Usual  resident  population  by  sex,  age  group,  highest  educational  attainment, 

current activity and occupation 

TABLE 35 Usual resident population by sex, major branch of economic activity, indicator of 

citizenship and status of employment 

TABLE 36 Private households by type and number of members and population by age group 

and economic activity 

TABLE 37 Dwellings by indicator of conventional character, occupancy status, type of own-

ership and type of building 

Glossary 

Definitions  of  the  demographic  variables  and  indicators  can  be  found  in  the  Glossary  of 
Demography: 

43 

 
 
Regional and Urban Statistics – Reference Guide 2006 

http://europa.eu.int/comm/eurostat/newcronos/suite/info/notmeth/en/theme3/demo/glo
ssaire.htm  

2.2. Eurostat publications 

Population statistics, Eurostat (annual) 

Definitions and methods for the collection of demographic statistics in 31 European coun-
tries, Eurostat Working Papers (Population and social conditions 3/2003/E/n°25) 

Guidelines and table programme for the community programme of population and housing 
censuses  in  2001,  Volume  II:  Table programme; Eurostat Working Papers (Population and 
social conditions 3/1999/E/n°10) 

2.3. Data sources 

All demographic statistics are sent by National Statistical Offices. 

2.4. Legal base 

All data supply of demographic statistics is based on a gentlemen’s agreement, as there is 
no community legislation on this topic yet. 

2.5. Contact person 

The contact person for demographic statistics is Mr Berthold Huber , e-mail: 

berthold.huber@cec.eu.int  

For  methodological  questions,  the  person  to  ask  is  Mr  Giampaolo  Lanzieri,  e-mail: 
Giampaolo.Lanzieri@cec.eu.int  

2.6. List of tables 

(The digit in the table name gives the NUTS level) 

POPAREA  

POPULATION AND AREA 

EU-Member States 

D2JAN80 
D2JAN 
D3AVG 
D2AVG 
D3AREA 
D3DENS 
D2SCE 
SCEN2LF 

Population at 1st January by age group and sex (1980 - 1989) 
Population at 1st January by sex and age, from 1990 
Average annual population by sex 
Average population by sex and single year of age, from 1990 
Surface area of the regions 
Density of the average total population 
Regional scenarios on population by sex and age groups (NUTS 95) 
Regional scenarios on labour force by sex and age groups (NUTS 95) 

44 

 
Regional and Urban Statistics – Reference Guide 2006 

Non-EU25 countries 

XD2JAN 
XD3AVG 
XD3AREA 
XD3DENS 

Population at 1st January by sex and age group - Non-EU25 countrIes 
Annual average population by sex - Non-EU25 countries 
Surface area of the regions - Non-EU25 countries 
Population density - Non-EU25 countries 

POP_CH  POPULATION CHANGE 

EU-Member States 

d3natmo 
d2natag 
d2morag 
d2infmo 

Live births and deaths 
Live births by age of the mother 
Deaths by sex and age group 
Infant mortality 

Non-EU25 countries 

xd3natmo 
xd2morag 
xd2infmo 
xd2natag 

Live births and deaths - Non-EU25 countries 
Deaths by sex and age - Non-EU25 countries 
Infant mortality - Non-EU25 countries 
Live births by age of the mother - Non-EU25 countries 

CENS_REG 

REGIONAL LEVEL CENSUS 2001 ROUND 

CENS_RSTR 

POPULATION STRUCTURE 

cens_rsmarcoh 
cens_rssocind 
cens_rsctz 

Population by sex, age group, marital and cohabitational status 
Population by sex, age group and selected social indocator 
Population by sex, country of citizenship and indicator of birth 

CENS_RACT 

 ACTIVE POPULATION 

cens_rapop 
cens_ramigr 

cens_ractz 

Population by sex, group of age, economical status 
Total population and active population by sex, age and indicator of 
internal or international migration 
Employed persons aged 15 and over by sex, major branch of economic 
activity, indicator of citizenship and status of employment 

CENS_REDU 

 EDUCATIONAL LEVEL 

cens_reisco 

cens_rews 

Population by sex, age group, highest educational attainment and 
occupation 
Population by sex, age group, highest educational attainment, current 
economical activity 

CENS_RHOU 

HOUSEHOLDS 

cens_rhtype 

Population by sex, group of age, type of household and household 
status 

45 

 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

cens_rhsize 
cens_rheco 
cens_rhagchi 
cens_rhact 

Population by sex, age group, size of household 
Private households by type and number of member 
Private households by type and age group of children 
Private households by type, adults by age group and economic activity 

CENS_RDWS 

DWELLINGS 

cens_rdhh 

cens_rdbuild 

Dwellings by indicator of conventional character, occupancy status and 
type of buildings 
Dwellings by number of rooms, of persons, type of building 

46 

 
 
 
Regional and Urban Statistics – Reference Guide 2006 

2.7. Detailed description 

Please  note:  For  EU  Member  States,  the  territorial  units  for  the  dimension 
GEO  are  NUTS-2003.  For  Non-EU25  countries  the  territorial  units  are 
"statistical regions". 

While the data for most of the Member States is available at NUTS level 2, 
for Denmark, Estonia, Latvia, Lithuania and Slovenia it is often at level 3. 

POPAREA 

POPULATION AND AREA 

d2jan80 

Dimensions: 

1. 

GEO  

2. 

SEX 

3. 

AGE  

4. 

TIME 

Population at 1st January by sex and age group (1980 - 1989) 

Total 
Males 
Females 

Geopolitical entities NUTS-2003: at NUTS level 2, 
only available for old Member States EU15 
Sex: 
TOTAL 
M 
F 
Age: 
TOTAL 
5 years groups 
and residual groups 
Y70_MAX 
Y85_MAX 
Y90_MAX 
from 1980 until 1989 (yearly) 

70 years and more 
85 years and more 
90 years and more 

Total 
Y0_4/Y5_9/.../  

Units:  

1000 persons 

d2jan:  

xd2jan 

Dimensions: 

1. 
2. 

GEO  
SEX 

3. 

AGE  

Population at 1st January by sex and age (single years and 5-
year-groups) 
ditto – Non-EU25 countries 

Total 
Males 
Females 

Geopolitical entities NUTS-2003/statistical regions: at level 2 
Sex: 
TOTAL 
M 
F 
Age: 
TOTAL 
Single years   
with subtotals of, 
5 years groups 
and residual groups 

Total 
less than 1 year, 1, 2, …, 89, 90 

Y0_4/Y5_9/.../ 

47 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
  
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

Y70_MAX 
Y85_MAX 
Y90_MAX 
Y91 MAX 
from 1990 (yearly) 

70 years and more 
85 years and more 
90 years and more 
91 years and more 

Average annual population by sex 
ditto – Non-EU25 countries 

Geopolitical entities NUTS-2003/statistical regions: at level 3.
Sex 
TOTAL 
M 
F 
Old Member States from 1970 (yearly) 
New Member States and Non-EU25 countries: from 1990 (yearly) 

Total 
Males 
Females 

4. 

TIME 

Units:  

persons 

d3avg 
xd3avg 

Dimensions: 

1. 

GEO 
SEX 

3. 

TIME 

Units:  

1000 persons 

d2avg 

Average population by sex and single year of age  

Dimensions: 

1. 

SEX 

2. 

AGE 

Sex 
TOTAL 
M 
F 

Total 
Males 
Females 

Age and age classes: 
TOTAL 
Single years  less than one year, 1,2, etc. 

Total 

3. 

GEO 

Geopolitical entities NUTS-2003: at NUTS level 2 

4.  

TIME 

From 1990 onwards 

Units: 

persons 

d3area 
xd3area 

Dimensions: 

1. 

GEO 

2. 

UNIT 

3. 

AREA 

Surface area of the regions 
ditto – Non-EU25 countries 

Geopolitical entities NUTS-2003/statistical regions:  
at NUTS level 3 
km² 
miles² 
total area 

square kilometre 
square miles 

48 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

4. 

TIME 

d3dens 
xd3dens 

Dimensions: 

1. 
2. 

GEO 
TIME 

land area 
from 1990 onwards 

Density of the average total population 
ditto – Non-EU25 countries 

Geopolitical entities NUTS-2003/statistical regions: at level 3 
Member States: from 1989 (yearly) 
Non-EU25 countries: from 1990 (yearly) 

Units: 

Number of inhabitants per km2 

d2sce 

Dimensions: 

1. 
2.  

GEO 
POPSCE 

3. 

AGE 

4. 

SEX 

5. 

TIME 

Units: 

persons 

Population scenarios by sex and age  

Geopolitical entities NUTS-95: at NUTS level 2 
Population scenarios: 
low 
high 
base 
y0_4 
y5_9 
y10_14 
y15_19 
y20_24 
y25_29 
y30_34 
y35_39 
y40_44 
y45_49 
y50_54 
y55_59 
y60_64 
y65_69 
y70_74 
y75_79 
y80_84 
y85_89 
y90_max 
t 
m 
f 
from 1995 (yearly to 2000 and then 5 yearly to 2025) 

Scenario LOW 
Scenario HIGH 
Scenario BASELINE 
Less than 5 years 
Between 5 and 9 years 
Between 10 and 14 years 
Between 15 and 19 years 
Between 20 and 24 years 
Between 25 and 29 years 
Between 30 and 34 years 
Between 35 and 39 years 
Between 40 and 44 years 
Between 45 and 49 years 
Between 50 and 54 years 
Between 55 and 59 years 
Between 60 and 64 years 
Between 65 and 69 years 
Between 70 and 74 years 
Between 75 and 79 years 
Between 80 and 84 years 
Between 85 and 89 years 
90 years and over 
Total 
Males 
Females 

49 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

scen2lf 

Dimensions: 

1. 
2.  

GEO 
POPSCE 

3. 

AGE 

4. 

SEX 

5. 

TIME 

Units: 

persons 

Regional scenarios on labour force by sex and age 

Geopolitical entities NUTS-95: at NUTS level 2 
Population scenarios 
low 
high 
base 
y15_19 
y20_24 
y25_29 
y30_34 
y35_39 
y40_44 
y45_49 
y50_54 
y55_59 
y60_64 
y65_69 
y70_74 
y75_MAX 
t 
m 
f 
from 1995 (yearly to 2000 and then 5 yearly to 2025) 

Scenario LOW 
Scenario HIGH 
Scenario BASELINE 
Between 15 and 19 years 
Between 20 and 24 years 
Between 25 and 29 years 
Between 30 and 34 years 
Between 35 and 39 years 
Between 40 and 44 years 
Between 45 and 49 years 
Between 50 and 54 years 
Between 55 and 59 years 
Between 60 and 64 years 
Between 65 and 69 years 
Between 70 and 74 years 
75 years and over 
Total 
Males 
Females 

POP_CH 

POPULATION CHANGE 

d3natmo 
xd3natmo   

Dimensions: 

1. 
2. 

GEO 
INDIC_DE 

3. 

TIME 

Births and deaths 
ditto - Non-EU25 countries 

Geopolitical entities NUTS-2003/statistical regions: at level 3 
Demographic indicators: 
Live births 
LBIRTH 
Deaths 
DEATH 
GBIRTHRT  Crude birth rate (per 1000 resident persons) 
GDEATHRT  Crude death rate (per 1000 resident persons) 
Old Member States: from 1977 (yearly) 
New Member States and non-EU25 countries: from 1990 (yearly) 

Units: 

1000 persons 

d2natag 
xd2natag 

Births by age of the mother 
ditto – Non-EU25 countries 

50 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

Dimensions: 

1. 
2. 

GEO 
AGEDEF 

3. 

AGE 

4. 

TIME 

Age reached during the year 
Age in completed years 

Geopolitical entities NUTS-2003: at NUTS level 2 
Age definition 
REACH 
COMPLETE   
Age: 
TOTAL 
Single years   
5-year subtotals 
TOTAL 
Y49_MAX 
from 1995 (yearly) 

Total 
10 - 49 
Y10_14/Y15_19/... Y45_49 
Total 
49 years and over 

Units: 

Number of children born alive 

d2morag 
xd2morag   

Dimensions: 

1. 
2. 

GEO 
AGEDEF 

3. 

SEX 

4. 

AGE 

5. 

TIME 

Deaths by sex and age group 
ditto - Non-EU25 countries 

Geopolitical entities NUTS-2003/statistical regions: at level 2 
Age definition 
REACH 
COMPLETE   
Sex: 
TOTAL 
M 
F 

Age reached during the year 
Age in completed years 

Total 
Males 
Females 

Age: 
TOTAL 
5-year groups 
Y70_MAX 
Y85_MAX 
Y90_MAX 
Member States: from 1983 (yearly) 
Non-EU25 countries: from 1990 (yearly) 

Total 
Y0_4/Y5_9/... Y85_89 
70 years and more 
85 years and more 
90 years and more 

Units: 

1000 persons 

d2infmo 
xd2infmo 

Dimensions: 

1. 
2. 

GEO 
INDIC_DE 

Infant mortality 
ditto – Non-EU25 countries 

Geopolitical entities NUTS-2003/ statistical regions: at level 2 
Demographic indicators: 
INFMOR 
INFMORRT  Infant mortality rate 

Infant mortality 

51 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
  
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

3. 

TIME 

Old Member States: from 1987 (yearly) 
New Member States and non-EU25-countries: from 1990 (yearly) 

Units: 

number of deaths 
ratio of number of deaths under one year/live births 

CENS_REG 

REGIONAL LEVEL CENSUS 2001 ROUND 

CENS_RSTR 

POPULATION STRUCTURE 

cens_rsmarcoh 

Population by sex, age group, marital and cohabitational status 
(census table 32) 

Dimensions: 

1. 
2. 

GEO 
SEX 

3. 

AGE 

4. 

HHTYP 

5. 

MARSTA 

Total 

Total 
Males 
Females 

Geopolitical entities NUTS-2003: at NUTS level 3 
Sex: 
TOTAL 
M 
F 
Age class: 
TOTAL 
Y0_4 
Y5_9 
Y10_14 
Y15_19 
Y20_24 
Y25_29 
Y30_34 
Y35_39 
Y40_44 
Y45_49 
Y50_54 
Y55_59 
Y60_64 
Y65_69 
Y70_74 
Y75_79 
Y80_84 
Y85_89 
Y90_MAX 
UNK 
Type of household: 
TOTAL 
COH 
NCOH 
Marital status: 
TOTAL 
SIN 

Less than 5 years 
Between 5 and 9 years 
Between 10 and 14 years 
Between 15 and 19 years 
Between 20 and 24 years 
Between 25 and 29 years 
Between 30 and 34 years 
Between 35 and 39 years 
Between 40 and 44 years 
Between 45 and 49 years 
Between 50 and 54 years 
Between 55 and 59 years 
Between 60 and 64 years 
Between 65 and 69 years 
Between 70 and 74 years 
Between 75 and 79 years 
Between 80 and 84 years 
Between 85 and 89 years 
90 years and over 
Unknown 

Total 
Cohabiting 
Not cohabiting 

Total of the marital status 
Single persons 

52 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

MAR 
WID 
DIV 
SEP 
UNK 

Married persons 
Widowed persons 
Divorced persons 
Separated persons 
Unknown marital status 

Units: 

Number of persons 

cens_rssocind 

Population by sex, age group and selected social indicator  
(census table 32) 

Dimensions: 

1. 
2. 

GEO 
SEX 

3. 

AGE 

4. 

IND_CENS 

Total 

Total 
Males 
Females 

Geopolitical entities NUTS-2003: at NUTS level 3 
Sex: 
TOTAL 
M 
F 
Age class: 
TOTAL 
Y0_4 
Y5_9 
Y10_14 
Y15_19 
Y20_24 
Y25_29 
Y30_34 
Y35_39 
Y40_44 
Y45_49 
Y50_54 
Y55_59 
Y60_64 
Y65_69 
Y70_74 
Y75_79 
Y80_84 
Y85_89 
Y90_MAX 
UNK 
Census indicator: 
MULTI_FAM Living in multi-family private households 

Less than 5 years 
Between 5 and 9 years 
Between 10 and 14 years 
Between 15 and 19 years 
Between 20 and 24 years 
Between 25 and 29 years 
Between 30 and 34 years 
Between 35 and 39 years 
Between 40 and 44 years 
Between 45 and 49 years 
Between 50 and 54 years 
Between 55 and 59 years 
Between 60 and 64 years 
Between 65 and 69 years 
Between 70 and 74 years 
Between 75 and 79 years 
Between 80 and 84 years 
Between 85 and 89 years 
90 years and over 
Unknown 

HH_MBRGE_5  Living in a private household of 5 or more members: 

Child 
CHILD 
Single parent with children 
A1_CH 
FOR 
Foreigners – Total 
BORNOUT  Born outside the parent country 
LIVOUT 

Living outside the parent country at previous year 

53 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

ISCED1 

Primary education or first stage of basic education –  
level1 (ISCED 1997) 

ISCED5_6  Tertiary education – levels 5-6 (ISCED 1997) 
INACT 
EDUC 
UNE 
EMPLER 
PT 
ISCO1 
ISCO2 

Inactive population 
Attendant at educational institutions 
Unemployment 
Employers 
Part-time 
Legislators, senior officials and managers 
Professionals 

Units: 

Number of persons 

cens_rsctz  

Dimensions: 

1. 
2. 

GEO 
SEX 

3. 

INDCTZ 

4. 

CITIZEN 

Population by sex, country of citizenship and indicator of birth 
(census table 33) 

Total 
Males 
Females 

Geopolitical entities NUTS-2003: at NUTS level 3 
Sex: 
TOTAL 
M 
F 
Citizen indicator: 
TOTAL 
NAT 
FOR 
UNK 
Citizenship: 
TOTAL 
EU_FOR EU Foreigners (EC6-72, EC9-80, EC10-85, EC12-94,  

Total 
Nationals 
Foreigners – Total 
Unknown 

Total 

BE 
DK 
DE 

GR 
ES 
FR 
IE 
IT 
LU 
NL 
AT 
PT 
FI 
SE 
UK 

EU15-04, EU25) 
Belgium 
Denmark 
Federal Republic of Germany (including ex-GDR from  
1991) 
Greece 
Spain 
France 
Ireland 
Italy 
Luxembourg 
Netherlands 
Austria 
Portugal 
Finland 
Sweden 
United Kingdom 

54 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

EFTA 
EUR_CE 

European Free Trade Association (CH, IS, LI, NO) 
Citizens of Central and Eastern Europe (BG, HR, CZ, 
EE, HU, LV, LT, PL, RO, SK, SI, AL, BA, MK, CS) 

EX_SU_EUR Citizens of the European Republics (excluding Baltic) 

of the former USSR (BY, MD, RU, UA) 
EUR_REM  Citizens of the rest of Europe (AD, CY, MT, MC, SM, 

TR, VA) 
Europe 
EUR 
Africa 
AFR 
Northern Africa 
AFR_N 
AFR_OTH  Africa - Others 
AME 
AME_N 
AME_OTH  America - Others 
Asia 
ASI 
ASI_ME 
Middle East 
EX_SU_ASI  Citizens of Asian Republics of the former USSR (AM, 

America 
North America 

ASI_OTH 
OCE 
OTHER 
LIVIN 

AZ, GE, KZ, HG, TJ, TM, UZ) 
Asia - Others 
Oceania 
Other 
Living in the parent country 

Units: 

Number of persons 

CENS_RACT 

 ACTIVE POPULATION 

cens_rapop 

Dimensions: 

1. 
2. 

GEO 
SEX 

3. 

AGE 

Population by sex, group of age, economical status (census table 
31) 

Total 

Total 
Males 
Females 

Geopolitical entities NUTS-2003: at NUTS level 3 
Sex: 
TOTAL 
M 
F 
Age class: 
TOTAL 
Y0_14 
Y15_19 
Y20_24 
Y25_29 
Y30_34 
Y35_39 
Y40_44 
Y45_49 
Y50_54 

Less than 15 years 
Between 15 and 19 years 
Between 20 and 24 years 
Between 25 and 29 years 
Between 30 and 34 years 
Between 35 and 39 years 
Between 40 and 44 years 
Between 45 and 49 years 
Between 50 and 54 years 

55 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

4. 

WSTATUS 

Between 55 and 59 years 
Between 60 and 64 years 
Between 65 and 69 years 
Between 70 and 74 years 
75 years and over 
Unknown 

Y55_59 
Y60_64 
Y65_69 
Y70_74 
Y75_MAX 
UNK 
Activity and employment status: 
Total population 
POP 
ACT 
Active population 
ACT_UNK  Active population – Unknown 
EMP 
EMP_OTH  Employment – Other 
Employees 
SAL 
Employers 
EMPLER 
Family workers 
FAM 
Unemployment 
UNE 
Inactive population 
INACT 
INACT_UNK  Inactive population – Unknown 
EDUC 
RETIR 
INACT_OTH  Inactive population – Other 
NOT_APP  Not applicable 

Persons in education 
Retired 

Employment 

Units: 

Number of persons 

cens_ramigr 

Dimensions: 

1. 
2. 

GEO 
SEX 

3. 

AGE 

Total population and active population by sex, age and indicator of 
internal or international migration (census table 29) 

Total 
Males 
Females 

Geopolitical entities NUTS-2003: at NUTS level 3 
Sex: 
TOTAL 
M 
F 
Age class: 
TOTAL 
Y0 
Y1 
Y2 
Y3 
Y4 
Y0_4 
Y5 
Y6 
Y7 
Y8 
Y9 

Total 
Less than 1 year 
1 year 
2 years 
3 years 
4 years 
Less than 5 years 
5 years 
6 years 
7 years 
8 years 
9 years 

56 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

Y5_9 
Y10 
Y11 
Y12 
Y13 
Y14 
Y10_14 
Y15 
Y16 
Y17 
Y18 
Y19 
Y15_19 
Y20 
Y21 
Y22 
Y23 
Y24 
Y20_24 
Y25 
Y26 
Y27 
Y28 
Y29 
Y25_29 
Y30 
Y31 
Y32 
Y33 
Y34 
Y30_34 
Y35 
Y36 
Y37 
Y38 
Y39 
Y35_39 
Y40 
Y41 
Y42 
Y43 
Y44 
Y40_44 
Y45 
Y46 
Y47 

Between 5 and 9 years 
10 years 
11 years 
12 years 
13 years 
14 years 
Between 10 and 14 years 
15 years 
16 years 
17 years 
18 years 
19 years 
Between 15 and 19 years 
20 years 
21 years 
22 years 
23 years 
24 years 
Between 20 and 25 years 
25 years 
26 years 
27 years 
28 years 
29 years 
Between 25 and 29 years 
30 years 
31 years 
32 years 
33 years 
34 years 
Between 30 and 34 years 
35 years 
36 years 
37 years 
38 years 
39 years 
Between 35 and 39 years 
40 years 
41 years 
42 years 
43 years 
44 years 
Between 40 and 44 years 
45 years 
46 years 
47 years 

57 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

Y48 
Y49 
Y45_49 
Y50 
Y51 
Y52 
Y53 
Y54 
Y50_54 
Y55 
Y56 
Y57 
Y58 
Y59 
Y55_59 
Y60 
Y61 
Y62 
Y63 
Y64 
Y60_64 
Y65 
Y66 
Y67 
Y68 
Y69 
Y65_69 
Y70 
Y71 
Y72 
Y73 
Y74 
Y70_74 
Y75 
Y76 
Y77 
Y78 
Y79 
Y75_79 
Y80 
Y81 
Y82 
Y83 
Y84 
Y80_84 
Y85 

48 years 
49 years 
Between 45 and 49 years 
50 years 
51 years 
52 years 
53 years 
54 years 
Between 50 and 54 years 
55 years 
56 years 
57 years 
58 years 
59 years 
Between 55 and 59 years 
60 years 
61 years 
62 years 
63 years 
64 years 
Between 60 and 64 years 
65 years 
66 years 
67 years 
68 years 
69 years 
Between 65 and 69 years 
70 years 
71 years 
72 years 
73 years 
74 years 
Between 70 and 74 years 
75 years 
76 years 
77 years 
78 years 
79 years 
Between 75 and 79 years 
80 years 
81 years 
82 years 
83 years 
84 years 
Between 80 and 84 years 
85 years 

58 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

86 years 
87 years 
88 years 
89 years 
Between 85 and 89 years 
90 years 
91 years 
92 years 
93 years 
94 years 
Between 90 and 94 years 
96 years 
97 years 
98 years 
99 years 
Between 95 and 99 years 

Y86 
Y87 
Y88 
Y89 
Y85_89 
Y90 
Y91 
Y92 
Y93 
Y94 
Y90_94 
Y96 
Y97 
Y98 
Y99 
Y95_99 
Y100_MAX  100 years and over 
UNK 
Activity and employment status: 
Total 
TOTAL 
OTH_NUTS3 Living in a different NUTS3 region of the same parent 

Unknown 

LIVOUT 

country one year prior to the census 
Living outside the parent country one year prior to the  
census 
Activity and employment status: 
POP 
ACT 

Total population 
Active population 

4. 

RESID1Y 

5. 

WSTATUS 

Units: 

Number of persons 

cens_ractz  

Dimensions: 

1. 
2. 

GEO 
SEX 

3. 

INDCTZ 

4. 

NACE 

Employed persons aged 15 and over by sex, major branch of eco-
nomic activity, indicator of citizenship and status of employment 
(census table 35) 

Total 
Males 
Females 

Geopolitical entities NUTS-2003: at NUTS level 3 
Sex: 
TOTAL 
M 
F 
Citizen indicator: 
TOTAL 
EU15_FOR 
EU15_FOR_OTH 
UNK 
Classification of economic activities – NACE Rev.1.1: 
TOTAL 

Total 
EU Foreigners (EU15) 
Other foreigners (EU15) 
Unknown 

All NACE branches – Total 

59 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5. 

WSTATUS 

Regional and Urban Statistics – Reference Guide 2006 

Agriculture, hunting, forestry and fishing 
Industry 
Services 
Unknown NACE branch 

A_B 
C_TO_F 
G_TO_Q 
UNK 
Activity and employment status: 
EMP 
EMP_OTH 
SAL 
EMPLER 
UNK 
NOT_APP 

Employment 
Employment – Other 
Employees 
Employers 
Unknown 
Not applicable 

Units: 

Number of persons 

CENS_REDU 

 EDUCATIONAL LEVEL 

cens_rews  

Dimensions: 

1. 
2. 

GEO 
SEX 

3. 

AGE 

4. 

ISCED97 

stage  

5. 

WSTATUS 

Population by sex, age group, highest educational attainment and 
occupation (census table 34) 

Total 
Males 
Females 

Geopolitical entities NUTS-2003: at NUTS level 3 
Sex: 
TOTAL 
M 
F 
Age class: 
Total 
TOTAL 
Less than 35 years 
Y0_34 
Y35_MAX 
35 years and over 
International Standard Classification of Education 1997 (ISCED): 
TOT_NO 
NONE 
ISCED0_1 

Total of all level ISCED97 and no education 
No education 
Pre-primary, primary education or first 

ISCED2 

ISCED4 

ISCED3 

of basic education – level 0 and 1 (ISCED97) 
Lower secondary or second stage of basic  
education – level 2 (ISCED 1997) 
Upper secondary education – level 3  
(ISCED 1997) 
Post-secondary non-tertiary education –  
level 4 (ISCED 1997) 
Tertiary education – levels 5-6 (ISCED 1997) 
ISCED5_6 
UNK 
Unknown 
Activity and employment status: 
POP 
EMP 
UNE 

Total population 
Employment 
Unemployment 

60 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

INACT 
UNK 
NOT_APP 

Inactive population 
Unknown 
Not applicable 

Units: 

Number of persons 

cens_reisco 

Dimensions: 

1. 
2. 

GEO 
SEX 

3. 

AGE 

4. 

ISCED97 

5. 

ISCO 

Population by sex, age group, highest educational attainment, cur-
rent economical activity (census table 34) 

Total 
Males 
Females 

Geopolitical entities NUTS-2003: at NUTS level 3 
Sex: 
TOTAL 
M 
F 
Age class: 
Total 
TOTAL 
Less than 35 years 
Y0_34 
Y35_MAX 
35 years and over 
International Standard Classification of Education 1997 (ISCED): 
TOT_NO 
NONE 
ISCED0_1 

Total of all level ISCED97 and no education 
No education 
Pre-primary, primary education or first 
stage of basic education – level 0 and 1 
(ISCED97) 
Primary education or first stage of basic  
education – level 1 (ISCED 1997) 
Lower secondary or second stage of basic 
education – level 2 (ISCED 1997) 
Upper secondary education – level 3 (ISCED 
1997) 
Post-secondary non-tertiary education – 
level 4 (ISCED 1997) 
Tertiary education – levels 5-6 (ISCED 1997) 
Unknown 

ISCED5_6 
UNK 
International Standard Classification of Occupations (ISCO): 
ISCO1 
ISCO2 
ISCO3 
ISCO4 
ISCO5 

Legislators, senior officials and managers 
Professionals 
Technicians and associate professionals 
Clerks 
Service workers and shop and market sales 
workers 
Skilled agricultural and fishery workers 
Craft and related trades workers 
Plant and machine operators and assem-
blers 
Elementary occupations 

ISCO6 
ISCO7 
ISCO8 

ISCO9 

61 

ISCED1 

ISCED2 

ISCED3 

ISCED4 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

ISCO0 
UNK 

Armed forces 
Unknown 

Units: 

Number of persons 

CENS_RHOU 

HOUSEHOLDS 

cens_rhtype 

Dimensions: 

1. 
2. 

GEO 
AGE 

3. 

SEX 

4. 

HHTYP 

Population by sex, group of age, type of household and household 
status (census table 30) 

Total 
Less than 15 years 
Between 15 and 19 years 
Between 20 and 25 years 
Between 25 and 29 years 
Between 30 and 34 years 
Between 35 and 39 years 
Between 40 and 44 years 
Between 45 and 49 years 
Between 50 and 54 years 
Between 55 and 59 years 
Between 60 and 64 years 
Between 65 and 69 years 
Between 70 and 74 years 
Between 75 and 79 years 
Between 80 and 84 years 
Between 85 and 89 years 
90 years and over 
Unknown 

Geopolitical entities NUTS-2003: at NUTS level 3 
Age class: 
TOTAL 
Y0_14 
Y15_19 
Y20_24 
Y25_29 
Y30_34 
Y35_39 
Y40_44 
Y45_49 
Y50_54 
Y55_59 
Y60_64 
Y65_69 
Y70_74 
Y75_79 
Y80_84 
Y85_89 
Y90_MAX 
UNK 
Sex: 
TOTAL 
M 
F 
Type of household: 
TOTAL 
PRIV 
PRIV_OTH 
A1 
A1_CH 
MAR 
COH 
CHILD 
INST 
UNK 

Total 
Males 
Females 

Total 
Private households 
Other persons living in private household 
Single person 
Single parent with children 
Spouse 
Cohabiting 
Person living as a child in the parental home 
Institutional household 
Unknown 

62 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

Units: 

Number of persons 

cens_rhsize 

Dimensions: 

1. 
2. 

GEO 
AGE 

3. 

SEX 

4. 

N_PERSON 

Population by sex, age group, size of household (census table 32) 

Total 
Less than 5 years 
Between 5 and 9 years 
Between 10 and 15 years 
Between 15 and 19 years 
Between 20 and 25 years 
Between 25 and 29 years 
Between 30 and 34 years 
Between 35 and 39 years 
Between 40 and 44 years 
Between 45 and 49 years 
Between 50 and 54 years 
Between 55 and 59 years 
Between 60 and 64 years 
Between 65 and 69 years 
Between 70 and 74 years 
Between 75 and 79 years 
Between 80 and 84 years 
Between 85 and 89 years 
90 years and over 
Unknown 

Geopolitical entities NUTS-2003: at NUTS level 3 
Age class: 
TOTAL 
Y0_4 
Y5_9 
Y10_14 
Y15_19 
Y20_24 
Y25_29 
Y30_34 
Y35_39 
Y40_44 
Y45_49 
Y50_54 
Y55_59 
Y60_64 
Y65_69 
Y70_74 
Y75_79 
Y80_84 
Y85_89 
Y90_MAX 
UNK 
Sex: 
TOTAL 
M 
F 
Number of persons: 
1 
2 
3 
4 
5 
GE_6 
UNK 
TOT_POPHH  

Total 
Males 
Females 

6 or more 
Unknown 
Total population in private households 

Units: 

Number of persons 

cens_rheco 

Private households by type and number of member  
(census table 36) 

63 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Dimensions: 

1. 
2. 

GEO 
HHTYP 

3. 

N_PERSON 

Regional and Urban Statistics – Reference Guide 2006 

Geopolitical entities NUTS-2003: at NUTS level 3 
Type of household: 
TOTAL 
FAM1 
FAM_GE2 
NFAM 

Total 
One family household 
Two or more family household 
Non family household (single person + multi 
person household) 
Multi person non family household 
Single person 
Single parent with children 
Single female 
Single male 
Single father with children 
Single mother with children 
Couple without children 
Couple with children 
Married couple without children 
Married couple with children 
Cohabiting couple without children 
Cohabiting couple with children 
Other households 

MULTI_NFAM 
A1 
A1_CH 
A1F 
A1M 
A1M_CH 
A1F_CH 
CPL_NCH 
CPL_CH 
MCPL_NCH   
MCPL_CH 
CCPL_NCH   
CCPL_CH 
OTHER 
Number of persons: 
1 
2 
3 
4 
5 
GE_6 
TOT_POPHH  

6 or more 
Total population in private households 

Units: 

Number of persons 

cens_rhagchi 

Dimensions: 

1. 
2. 

GEO 
HHTYP 

Private households by type and age group of children  
(census table 36) 

Geopolitical entities NUTS-2003: at NUTS level 3 
Type of household: 
TOTAL 
FAM1 
FAM_GE2 
NFAM 

Total 
One family household 
Two or more family household 
Non family household (single person + multi 
person household) 
Multi person non family household 
Single person 
Single parent with children 

MULTI_NFAM 
A1 
A1_CH 

64 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

Single female 
Single male 
Single father with children 
Single mother with children 
Couple without children 
Couple with children 
Married couple without children 
Married couple with children 
Cohabiting couple without children 
Cohabiting couple with children 
Other households 

A1F 
A1M 
A1M_CH 
A1F_CH 
CPL_NCH 
CPL_CH 
MCPL_NCH   
MCPL_CH 
CCPL_NCH   
CCPL_CH 
OTHER 
Number and age of children: 
Total 
TOTAL 
Children of less than 6 years 
LT_6 
Children of less than 18 years 
LT_18 
Children of less than 25 years 
LT_25 

3. 

CHILDREN 

Units: 

Number of persons 

cens_rhact  

Dimensions: 

1. 
2. 

GEO 
HHTYP 

Private households by type, adults by age group and economic  
activity (census table 36) 

Geopolitical entities NUTS-2003: at NUTS level 3 
Type of household: 
TOTAL 
FAM1 
FAM_GE2 
NFAM 

MULTI_NFAM 
A1 
A1_CH 
A1F 
A1M 
A1M_CH 
A1F_CH 
CPL_NCH 
CPL_CH 
MCPL_NCH   
MCPL_CH 
CCPL_NCH   
CCPL_CH 
OTHER 
Census indicator: 
HH_ACT 

3. 

IND_CENS 

Total 
One family household 
Two or more family household 
Non family household (single person + multi 
person household) 
Multi person non family household 
Single person 
Single parent with children 
Single female 
Single male 
Single father with children 
Single mother with children 
Couple without children 
Couple with children 
Married couple without children 
Married couple with children 
Cohabiting couple without children 
Cohabiting couple with children 
Other households 

Households by number of economically ac-
tive members 

65 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

GE_65 

GE_75 

Households with members aged 65 and 
more 
Households with members aged 75 and 
more 

Units: 

Number of persons 

CENS_RDWS 

DWELLINGS 

cens_rdhh  

Dwellings by indicator of conventional character, occupancy status 
and type of buildings (census table 37) 

Dimensions: 

1. 

TENSTATU 

2. 
3. 

GEO 
DWELTYP 

Housing tenure status: 
TOTAL 
CONV 
OCC_DWEL   
OWNER 
OTHER 
SECOND 
NCONV 

Total 
Conventional dwelling 
Occupied dwellings 
Owner 
Other 
For seasonal or secondary use 
Housing unit other than conventional  
Dwelling 
Unknown Conventional dwelling 
Vacant 
Type of occupancy unknown 

CONV_UNK   
VACANT 
UNK_OCC 
Geopolitical entities NUTS-2003: at NUTS level 3 
Type of housing: 
TOTAL 
RESID 
RESID_1 
RESID_2 
RESID_GE3   
RESID_UNK  
NRESID 
UNK 

Total 
Residential buildings 
One dwelling house 
Two dwelling houses 
Three or more dwelling houses 
Unknown residential buildings 
Non-residential buildings 
Unknown 

Units: 

Number of persons 

cens_rdbuild 

Dimensions: 

1. 
2. 

GEO 
DWELTYP 

Dwellings by number of rooms, of persons, type of building  
(census table 37) 

Geopolitical entities NUTS-2003: at NUTS level 3 
Type of housing: 
TOTAL 
RESID 
RESID_1 
RESID_2 

Total 
Residential buildings 
One dwelling house 
Two dwelling houses 

66 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3. 

IND_CENS 

Regional and Urban Statistics – Reference Guide 2006 

RESID_GE3   
RESID_UNK  
NRESID 
UNK 
Census indicator: 
TOT_PERS_DWEL 
TOT_ROOM_DWEL 

UNK_PERS   

Three or more dwelling houses 
Unknown residential buildings 
Non-residential buildings 
Unknown 

Total number of persons 
Total number of rooms forconventional oc-
cupied dwellings 
Total umber of persons from dwellings un-
known 

Units: 

Number of persons 

67 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

3.  Economic accounts 

3.1. General presentation 

The  regional  accounts  are  compiled  in  accordance  with  the  ‘European  System  of  National 
and  Regional  Accounts’  (ESA),  which  should  be  referred  to  for  the  definition  of  the  aggre-
gates. They are designated by the abbreviation ESA-Reg, which is a simplified version of the 
ESA. 

The ESA-Reg covers only a part of the aggregates defined by the ESA, i.e. gross value added, 
compensation  of  employees,  gross  fixed  capital  formation,  employment  and  household  ac-
counts. 

Data collection is done according to the ESA95 classification3. ESA95 data start with 1995 
as the first reference year and are available for both EU countries and Non-EU25 Countries. 
Data  are  collected  using  NACE  Rev.  1.1  as  classification  of  the  economic  branches.  Data 
according  to  NACE  Rev.  1.1  is  available  in  A3,  A6  and  A17  breakdown  (see  the  table  next 
page). The sum of the regions may be different from the country total because of the ”extra-
regio”. 

Data  collection  according  to  NACE  Rev.  1.1  is  based  on  Council  Regulation  2223/96  and 
includes three sets of ESA tables, which have to be provided on a regional level. Data is ei-
ther  collected  on  NUTS  2  level  or  on  NUTS  3  level.  Data  delivery  for  variables  from  Non-
EU25 Countries is voluntary. 

For  each  of  the  three  sets  of  tables  there  are  certain  derogations  for  a  number  of Member 
States. Most of these derogations expired in 2005. 

3)  Data according to the ESA79 classification are available on request. 

68 

 
                                               
Regional and Urban Statistics – Reference Guide 2006 

Classification of branches A3-A6-A17 (NACE Rev. 1.1) 

Codes  
(A3) 

Codes 
(A6) 

Labels 

Codes 
(A17) 

A_B 

A_B 

Agricultural, hunting, forestry and fishing 

Agricultural, hunting and forestry  

Fishing 

C_D_E 

Total industry (excluding construction) 

C_TO_F 

F 

G_H_I 

Mining and quarrying 

Manufacturing 

Electricity, gas and water supply 

Construction 

Wholesale  and  retail  trade;  repair  of  motor  vehicles,  mo-
torcycles  and  personal  and  household  goods,  hotels  and 
restaurants; transport, storage and communication 

Wholesale  and  retail  trade,  repair  of  motor  vehicles, 
motorcycles and personal and household goods 

Hotels and restaurants 

Transport, storage and communication  

G_TO_P 

J_K 

Financial  intermediation,  real  estate,  renting  and  busi-
ness activities 

L_TO_P 

Financial intermediation 

Real estate, renting and business activities 

Public  administration  and  defence,  compulsory  social  se-
curity;  education;  health  and  social  work;  other  commu-
nity,  social  and  personal  service  activities;  private  house-
holds with employed persons 

Public  administration  and  defence,  compulsory  social 
security 

Education 

Health and social work 

Other  community,  social  and  personal  service  activi-
ties 

Activities of households 

A 

B 

C 

D 

E 

F 

G 

H 

I 

J 

K 

L 

M 

N 

O 

P 

A_TO_P 

TOTAL 

‘A_B’ + ‘C_TO_F’ + ‘G_TO_P’ 

‘A_TO_P’ minus ‘FISIM’ (1) 

(1)  FISIM represents “Financial intermediation services indirectly measured” 

NB.: The  aggregate  TOTAL  is  only  available  for  tables  E2VABP95,  E3VABP95,  XE2VABP  and 

XE3VABP. For all other variables total corresponds to A_to_P. 

3.2.  Eurostat publications 

European System of National and Regional Accounts (ESA) 

Regional accounts methods: Gross value added and gross fixed capital formation by activity 

69 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

Regional accounts methods: Household accounts 

Regions: Statistical Yearbook 

Statistics in Focus (annual): one on GDP and one on Household Accounts. 

3.3. Data sources 

All data concerning the branch accounts come directly from Member States to the regional 
section of Eurostat. The calculation of gross domestic product indicators is done within Eu-
rostat. 

3.4. Legal base 

Data  supply  on  ESA95  is  based  on  a  delivery  program  that  is  binding  for  Member  States, 
following the Council Regulation 2223/96 of 25.06.1996, OJ L 310 of 30.11.1996 on ESA95 
(European System of National and Regional Accounts). 

The new real regional GDP growth rate series is not obligatory under ESA95, but a volun-
tary data transmission. 

3.5. Contact person 

The  contact  person 
stergiani.kalmpurtzi@cec.eu.int . 

for  economic  accounts 

is  Ms  Stergiani  Kalmpurtzi,  e-mail: 

For  methodological  questions,  the  person  to  contact  is  Mr  Andreas  Krüger,  e-mail:  
andreas.krueger@cec.eu.int . 

3.6. List of tables 

Gross domestic product indicators – ESA95 

E2GDP95 
E3GDP95 
XE_GDP 

E2GRGDP 

Gross domestic product (GDP), market prices at NUTS level 2 – EU 
Gross domestic product (GDP), market prices at NUTS level 3 – EU  
Gross domestic product (GDP), market prices at regional level 3 –  
Non-EU25 Countries 

Real growth rate of regional GDP, market prices at NUTS level 2 – 
Percentage change on previous year - EU 

Branch accounts – ESA95 

E2EMPL95 
E3EMPL95 
E2GFCF95 
E2REM95 
E2VABP95 
E3VABP95 

Employment at NUTS level 2 – EU 
Employment at NUTS level 3 – EU 
Gross fixed capital formation at NUTS level 2 – EU 
Compensation of employees at NUTS level 2 – EU 
Gross value added at basic prices at NUTS level 2 – EU 
Gross value added at basic prices at NUTS level 3 – EU 

70 

 
 
Regional and Urban Statistics – Reference Guide 2006 

XE2EMPL 
XE3EMPL 
XE2REM 
XE2GFCF 
XE2VABP 

XE3VABP 

Employment at regional level 2 – Non-EU25 Countries 
Employment at regional level 3 – Non-EU25 Countries 
Compensation of employees at regional level 2 – Non-EU25 Countries 
Gross fixed capital formation at regional level 2 – Non-EU25 Countries 
Gross value added at basic prices at regional level 2 – Non-EU25 
Countries 
Gross value added at basic prices at regional level 3 – Non-EU25 
Countries 

Household accounts – ESA95 

HH2P95 

HH2S95 

HH2INC 
XHH2P95 

XHH2S95 

XHH2INC 

Allocation of primary income account of households at NUTS  
level 2 – EU 
Secondary distribution of income account of households at NUTS level 
2 – EU 
Income of households at NUTS level 2 – EU 
Allocation of primary income account of households at regional level 2 – 
Non-EU25 Countries 
Secondary distribution of income account of households at regional 
level 2 – Non-EU25 Countries 
Income of households at regional level 2 – Non-EU25 Countries 

71 

 
 
 
Regional and Urban Statistics – Reference Guide 2006 

3.7. Detailed description 

Please note:   For NON-EU25 Countries, the territorial units for the 

dimension GEO are not NUTS, but "statistical regions" (SRE).  

E2GDP95   

Dimensions: 

Gross domestic product (GDP), market prices at NUTS level 2 – EU 

1. 

2. 

GEO 

Geopolitical entity: NUTS-2003 at level 2 

CURRENCY  Currency: 
MIO_EUR 

MIO_PPS 
PPS_HAB 

PPS_HAB_EU 

EUR_HAB 
EUR_HAB_EU 

Millions of euro (from 1.1.1999)/Millions of 
ECU (up to 31.12.1998) 
Millions of PPS (Purchasing Power Standard) 
Purchasing Power Standard per 
inhabitant 
Purchasing Power Standard per inhabitant 
in percentage of the EU average  
Euro per inhabitant  
Euro per inhabitant in percentage of the EU 
average 

3. 

TIME 

as from 1995 (annual) 

Notes: 

National GDP according to the ESA95 is broken down in accordance with the 
regional distribution of gross value added at basic prices.  

E3GDP95   
XE_GDP 

Dimensions: 

Gross domestic product (GDP), market prices at NUTS level 3 – EU 
Gross domestic product (GDP), market prices at regional level 3 – 
Non-EU25 countries 

1. 

2. 

GEO 

Geopolitical entity: NUTS-2003 at level 3 

CURRENCY  Currency: 
MIO_EUR 

MIO_PPS 
PPS_HAB 

PPS_HAB_EU 

EUR_HAB 
EUR_HAB_EU 

Millions of euro (from 1.1.1999)/Millions of 
ECU (up to 31.12.1998) 
Millions of PPS (Purchasing Power Standard) 
Purchasing Power Standard per 
inhabitant 
Purchasing Power Standard per inhabitant 
in percentage of the EU average  
Euro per inhabitant  
Euro per inhabitant in percentage of the EU 
average  

72 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

3. 

TIME 

As from 1995 (annual) 

E2GRGDP   

Dimensions: 

1. 

2. 

GEO 

TIME 

Real growth rate of regional GDP, market prices at NUTS level 2 - 
Percentage change on previous year - EU 

Geopolitical entity: NUTS-2003 at level 2 

As from 2000 (annual) 

Units: 

Growth rates in percent 

Notes: 

Data are based on calculations by NSIs for BE, CZ, DE (only NUTS level 1 avail-
able),  ES,  FR,  IT,  NL,  PT  and  FI.  They  are  derived  from  data  expressed  in  na-
tional  currency.  For  EL,  IE,  HU,  AT,  PL,  SK,  SE  and  UK  the  real  growth  rates 
were calculated by Eurostat on the basis of regional GVA in Euro and national 
deflators at an A6 branch breakdown of NACE. 

E2EMPL95 
XE2EMPL   

Dimensions: 

Employment at NUTS level 2 – EU 

Employment at regional level 2 – Non-EU25 countries 

1. 

2. 

3. 

4. 

GEO 

Geopolitical entity: NUTS-2003 at level 2 

WSTATUS  Activity and employment status: 

EMP 
SAL 

Employment 
Employees 

NACE 

Classification of economic activities - NACE Rev. 1.1: 
all branches of NACE Rev. 1.1 - A17 (see table above)  

TIME 

As from 1995 (annual) 

Units: 

1000 Persons 

E3EMPL95 
XE3EMPL   

Dimensions: 

Employment at NUTS level 3 – EU 

Employment at regional level 3 – Non-EU25 countries 

1. 

2. 

3. 

4. 

GEO 

Geopolitical entity: NUTS-2003 at level 3 

WSTATUS  Activity and employment status: 

EMP 
SAL 

Employment 
Employees 

NACE 

Classification of economic activities - NACE Rev. 1.1: 
all branches of NACE Rev. 1.1 - A3 (see table above)  

TIME 

As from 1995 (annual) 

73 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

Units: 

1000 Persons 

E2GFCF95  
XE2GFCF   

Dimensions: 

Gross fixed capital formation at NUTS level 2 – EU 
Gross fixed capital formation at regional level 2 – Non-EU25 coun-
tries 

1. 

2. 

3. 

GEO 

NACE 

Geopolitical entity: NUTS-2003 at level 2 

Classification of economic activities - NACE Rev. 1.1: 
All branches of NACE Rev. 1.1 - A17 (see table above)  

CURRENCY  Currency: 

MIO_EUR  Millions of euro (from 1.1.1999)/Millions of ECU (up 

to 31.12.1998) 

MIO_NAC  Millions of national currency (including ‘euro fixed’ 

series for euro-zone countries) 

4. 

TIME 

As from 1995 (annual) 

E2REM95   
XE2REM 

Dimensions: 

Compensation of employees at NUTS level 2 – EU 
Compensation of employees at regional level 2 – Non-EU25 Coun-
tries 

1. 

2. 

3. 

GEO 

NACE 

Geopolitical entity: NUTS-2003 at level 2 

Classification of economic activities - NACE Rev. 1.1: 
All branches of NACE Rev. 1.1 - A17 (see table above)  

CURRENCY  Currency: 

MIO_EUR  Millions of euro (from 1.1.1999) / Millions of ECU  

(up to 31.12.1998) 

MIO_NAC  Millions of national currency (including ‘euro fixed’ 

series for euro-zone countries) 

4. 

TIME 

As from 1995 (annual) 

E2VABP95  
XE2VABP   

Dimensions: 

Gross value added at basic prices at NUTS level 2 – EU 
Gross value added at basic prices at regional level 2 – Non-EU25 
countries 

1. 

2. 

GEO 

NACE 

Geopolitical entity: NUTS-2003 at level 2 

Classification of economic activities - NACE Rev. 1.1: 
All branches of NACE Rev. 1.1 - A17 (see table above)  

3. 

CURRENCY  Currency: 

74 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

MIO_EUR  Millions of euro (from 1.1.1999)/Millions of ECU (up 

to 31.12.1998) 

MIO_NAC  Millions of national currency (including ‘euro fixed’ 

series for euro-zone countries) 

4. 

TIME 

as from 1995 (annual) 

E3VABP95  
XE3VABP   

Dimensions: 

Gross value added at basic prices at NUTS level 3 – EU 
Gross value added at basic prices at regional level 3 – Non-EU25 
countries 

1. 

2. 

GEO 

NACE 

Geopolitical entity: NUTS-2003 at level 3 

Classification of economic activities - NACE Rev. 1.1: 
All branches of NACE Rev. 1.1 - A3 (see table above)  

3. 

CURRENCY  Currency: 

MIO_EUR  Millions of euro (from 1.1.1999)/Millions of ECU (up 

to 31.12.1998) 

MIO_NAC  Millions of national currency (including ‘euro fixed’ 

series for euro-zone countries) 

4. 

TIME 

as from 1995 (annual) 

HH2P95 

XHH2P95   

Dimensions: 

Allocation of primary income account of households at NUTS level 2 
– EU 
Allocation of primary income account of households at regional 
level 2 – Non-EU25 countries 

1. 

2. 

GEO 

Geopolitical entity: NUTS-2003 at level 2 

INDIC_NA:  National accounts indicator (ESA95): 

B2_3N_R 

D1_R 
D4_R 
D4_U 
B5N_U 

Net operating surplus and net operating income (re-
sources) 
Compensation of employees (resources) 
Property income, received (resources) 
Property income, paid (uses) 
Balance of primary income, net (uses) 

3. 

CURRENCY  Currency: 

MIO_EUR  Millions of euro (from 1.1.1999)/Millions of ECU (up 

to 31.12.1998) 

MIO_NAC  Million of national currency (including “euro fixed se-

ries for euro-zone countries) 

4. 

TIME 

as from 1995 (annual) 

75 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

Secondary distribution of income account of households at NUTS 
level 2 – EU 
Secondary distribution of income account of households at regional 
level 2 – Non-EU25 countries 

HH2S95 

XHH2S95   

Dimensions: 

1. 

2. 

GEO 

Geopolitical entity: NUTS-2003 at level 2 

INDIC_NA:  National accounts indicator (ESA95): 

D62_R 

D7_R 
B5N_U 
D5_U 
D61_U 
D7_U 
B6N_U 

Social benefits other than social transfers in kind  
(resources) 
Other current transfers received (resources) 
Balance of primary income, net (resources) 
Current taxes on income, wealth, etc.(uses) 
Social contributions (uses) 
Other current transfers, paid (uses) 
Disposable income, net (uses) 

3. 

CURRENCY Currency: 

MIO_EUR  Millions of euro (from 1.1.1999)/Millions of ECU (up 

to 31.12.1998) 

MIO_NAC  Million of national currency (including ‘euro fixed’  

series for euro-zone countries) 

4. 

TIME 

as from 1995 (annual) 

HH2INC 
XHH2INC   

Dimensions: 

Income of households at NUTS level 2 – EU 
Income of households at regional level 2 – Non-EU25 countries 

1. 

2. 

GEO 

Geopolitical entity: NUTS-2003 at level 2 

INDIC_NA  National accounts indicator (ESA95): 

b5n_U 
b6n_U 

Balance of primary income, net (resources) 
Disposable income, net (uses)  

3. 

CURRENCY  Currency: 

MIO_EUR  Millions of euro (from 1.1.1999)/Millions of ECU (up 

to 31.12.1998) 

MIO_PPCS  Millions of PPCS (Purchasing Power Standard based 

on final consumption) 

PPCS_HAB  Purchasing Power Standard based on final consump-

tion per inhabitant  
EUR_HAB  Euro per inhabitant 

4. 

TIME 

as from 1995 (annual) 

76 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

4.  Education 

4.1. General presentation 

There are two major sources for data on education at regional level: 

a) The regional tables of the UOE data collection 

Data  are  collected  using  EU  specific  tables  included  as  a  supplement  for  EU  countries  in 
the  joint  UNESCO-OECD-Eurostat  data  collection  on  education.  The  UOE  data  collection 
covers  primarily  the  "regular"  school  and  university  system.  Data  included  in  the  REGIO 
data base concern: 

♦  Pupils and students (broken down by level of education, sex and age) 
♦  Non-national students in tertiary education by citizenship 

There are two sets of tables presenting data collected on the basis of two different versions 
of  the  International  Standard  Classification  of  Education  (ISCED)  of  1976  and  1997.  The 
version  of  ISCED  used  is  already  indicated  in  the  title  of  each  table.  The  following  table 
gives  roughly  the  correspondence  between  levels  of  education  according  to  ISCED76  and 
ISCED97. 

ISCED 1976 

ISCED 1997 

Education preceding the first level 

Education at the first level 

Education at the second level, first stage 

Education at the second level, second stage 

Education at the third level, first stage, of the 
type that leads to an award not equivalent to a 
First university degree 

Education at the third level, first stage, of the 
type that leads to a first university degree or 
equivalent 

Education at the third level, second stage of 
the type that leads to a post-graduate univer-
sity degree or equivalent 

Education not definable by level 

0 

1 

2 

3 

5 

6 

7 

9 

0 

1 

2 

Pre-primary level of education 

Primary level of education 

Lower secondary level of education (2A, 2B and 
2C) 

3 

Upper secondary level education (3A, 3B, 3C) 

4 

Post secondary, non-tertiary education (4A, 4B, 
4C) 

5 

First stage of tertiary education (not leading di-
rectly to an advanced research qualification (5A, 
5B)  

6 

Second stage of tertiary education (leading to an 
advanced research qualification 

77 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
  
  
Regional and Urban Statistics – Reference Guide 2006 

b) The EU Labour Force Survey 

Data are collected through the LFS concerning the highest level of education attained (edu-
cational attainment) as well as on recent or current participation of the population in edu-
cation and training. 

For  EU  countries  in  the  joint  UNESCO-OECD-Eurostat  data  collection  on  education  the 
data included in the REGIO data base concern: 

Highest level of education completed. 

The table presented includes three levels of educational attainment according to the follow-
ing table: 

Low level: at best lower secondary education level (ISCED97 = ISCED76 = Levels 0-2)  

Medium level: upper secondary education level (ISCED97 = levels 3-4, ISCED76 = Level 3) 

High level: higher education qualification (ISCED97 = levels 5-6, ISCED76 = Levels 5-7) 

4.2. Eurostat publications 

The  annual  publication  "Education  across  Europe  -  statistics  and  indicators"  covers  this 
field. 

4.3. Data sources 

On participants: UOE data collection. 

Eurostat  tables  completed  by  EU  countries  in  the  framework  of  the  joint  UNESCO-OECD-
Eurostat. 

Data collection (UOE) of educational statistics. 

On educational attainment: LFS. 

4.4. Legal base 

A gentleman's agreement governs the collection of data through the UOE questionnaire. 

For the EU Labour Force Survey a regulation exists (cf. relevant parts of the guide). 

4.5. Contact person 

The  contact  person  for  the  regional  education  statistics  is  Mr  Filipe  Alves,  e-mail: 
filipe.alves@cec.eu.int . 

For  methodological  questions,  please  contact  the  specialist  in  unit  F4,  Ms  Lene  Mejer,  e-
mail: lene.mejer@cec.eu.int . 

78 

 
 
Regional and Urban Statistics – Reference Guide 2006 

4.6. List of tables 

Levels according to ISCED97 

ED2PLV97 

ED2PAG97 
ED2CZH97 

ED2LNG97 

Number of students by level of education, orientation and sex- 
(ISCED97) 
Number of students by sex and age- (ISCED97) 
Number of foreign students in tertiary education – (ISCED 5,6) by level 
of education and citizenship – (ISCED97) 
Number of students by foreign modern language studied (Enrlrg5a, 
Enrlrg5b, Enrlrg5c) – (ISCED97) 

79 

 
 
Regional and Urban Statistics – Reference Guide 2006 

4.7. Detailed description 

ED2PLV97  

Number  of  students  by  level  of  education,  orientation  and  sex 
(ISCED97)  

Dimensions: 

1.  

ISCED97 

International Standard Classification of Education - 1997 
(ISCED97) 
total 
isced0 
isced1_3 

Total (ISCED 1997) 
Pre-primary education - level 0 (ISCED 1997) 
Primary and secondary education - levels 1-3 (ISCED 
1997) 
Primary education or first stage of basic education - 
Level 1 (ISCED 1997) 
Lower secondary or second stage of basic education - 
Level 2 (ISCED 1997) 
Lower secondary or second stage of basic education - 
Level 2 - vocational programmes (ISCED 1997) 
Lower secondary or second stage of basic education - 
Level 2 - general and pre-vocational programmes 
(ISCED 1997) 
Upper secondary education - Level 3 (ISCED 1997) 

isced1 

isced2 

isced2voc 

isced2gpv 

isced3 
isced3voc  Upper secondary education - Level 3 - vocational pro-

grammes (ISCED 1997) 

isced3gpv  Upper secondary education - Level 3 - general and 

isced4 

isced4voc 

isced4gpv 

isced5_6 
isced5a 

isced5b 

isced6 

unk 
t 
m 
f 

pre-vocational programmes (ISCED 1997) 
Post-secondary non-tertiary education - Level 4 
(ISCED 1997) 
Post-secondary non-tertiary education - Level 4 - vo-
cational programmes (ISCED 1997) 
Post-secondary non-tertiary education - Level 4 - gen-
eral and pre-vocational programmes (ISCED 1997) 
Tertiary education - Levels 5-6 (ISCED 1997) 
Tertiary programmes with academic orientation 
(ISCED 1997) 
Tertiary programmes with occupation orientation 
(ISCED 1997) 
Second stage of tertiary education leading to an ad-
vanced research qualification - Level 6 (ISCED 1997) 
Unknown 
Total 
Males 
Females 
Geopolitical entities NUTS 2003 : at NUTS Level 2 
From 1998 (yearly) 

80 

2.  

SEX 

3. 
4. 

GEO 
TIME 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

ED2PAG97  

Number of students by sex and age (ISCED97) 

Dimensions: 

1.  

AGE 

2.  

SEX 

3. 
4. 

GEO 
TIME 

Age and age classes 
total 
y0_2 
y3 
y4 
y5 
y6 
y7 
y8 
y9 
y10 
y11 
y12 
y13 
y14 
y15 
y16 
y17 
y18 
y19 
y15_19 
y20 
y21 
y22 
y23 
y24 
y20_24 
y25 
y26 
y27 
y28 
y29 
y30_34 
y35_39 
y40_max 
unk 
t 
m 
f 

Total 
Less than 3 years 
3 years 
4 years 
5 years 
6 years 
7 years 
8 years 
9 years 
10 years 
11 years 
12 years 
13 years 
14 years 
15 years 
16 years 
17 years 
18 years 
19 years 
Between 15 and 19 years 
20 years 
21 years 
22 years 
23 years 
24 years 
Between 20 and 24 years 
25 years 
26 years 
27 years 
28 years 
29 years 
Between 30 and 34 years 
Between 35 and 39 years 
40 years and over 
Unknown 
Total 
Males 
Females 
Geopolitical entities NUTS 2003 : at NUTS Level 2 
From 1998 (yearly) 

81 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

ED2CZH97 

Number  of  foreign  students  in  tertiary  education  (ISCED  5,6)  by 
level of education and citizenship - (ISCED97)  

Dimensions: 

1.  

ISCED97 

2.  

CITIZEN 

3. 
4. 

GEO 
TIME 

International Standard Classification of Education - 1997 (ISCED) 
isced5_6 
isced5b 

Tertiary education - levels 5-6 (ISCED 1997) 
Tertiary programmes with occupation orientation 
(ISCED 1997) 

isced5a_6  Tertiary programmes with academic orientation - Level 
5A - and programmes leading to an advanced research 
qualification - level 6 (ISCED 1997) 
Citizenship 
Foreigners - Total 
EU Foreigners (EC6-72, EC9-80, EC10-85, EC12-94, 
EC15) 
Extra-EU 
Geopolitical entities NUTS 2003 : at NUTS Level 2 
From 1998 (yearly) 

for 
eu_for 

ext_eu 

ED2LNG97 

Number of students by foreign modern language studied (Enrlrg5a, 
Enrlrg5b, Enrlrg5c) - (ISCED97)  

Dimensions: 

1. 

ISCED97 

2. 

LANG 

International Standard Classification of Education – 1997 (ISCED) 
isced1 

isced2 

isced3 

arab 
cn 
da 
de 
en 
es 
fi 
fr 
gr 
it 
jp 
nl 
po 
ru 
se 
other 

Primary education or first stage of basic education - 
Level 1 (ISCED 1997) 
Lower secondary or second stage of basic education - 
Level 2 (ISCED 1997) 
Upper secondary education - Level 3 (ISCED 1997) 
Language 
Arabic 
Chinese 
Danish 
German 
English 
Spanish 
Finish 
French 
Greek 
Italian 
Japanese 
Dutch 
Portuguese 
Russian 
Swedish 
Other 

82 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

3. 
4. 

GEO 
TIME 

total 

Total 
Geopolitical entities NUTS 2003: at NUTS Level 2 
From 1998 (yearly) 

83 

 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

5.  Labour market statistics 

5.1. General presentation 

Down  to  NUTS  level  2,  the  source  for  regional  labour  market  data  is  the  European  Union 
Labour Force Survey (LFS). This survey is a quarterly household sample survey conducted 
in the Member States of the European Union as well as in EFTA and Candidate countries. 
The  LFS’  target  population  is  made  up  of  all  persons  in  private  households  aged  15  and 
over. The definitions of the survey’s characteristics follow the definitions and recommenda-
tions of the International Labour Organisation (ILO).  

For  NUTS  level  3,  either  distribution  of  LFS  NUTS  level  3  data  or  distribution  of  register 
NUTS level 3 data is used when attributing LFS NUTS level 2 figures to NUTS level 3. 

All  regional  labour  market  data  provided  by  Eurostat  can  be  found  on  web-site 
http://europa.eu.int/comm/eurostat/ under Data / General and regional statistics / Regions 
/ Regional labour market according to the following categories: 

Regional Labour Market 

• 
• 
• 
• 
• 

Regional economically active population – LFS series and LFS adjusted series  
Regional employment – LFS series  
Regional unemployment – LFS adjusted series 
Regional socio-demographic labour force statistics – LFS series 
Regional labour market data based on pre-2003 methodology (data up to 2001) - 
LFS adjusted series 

The first four sub-folders contain annual average data except for years in which the coun-
tries  listed  below  either  had  only  ‘spring’  Labour  Force  Survey  (LFS)  or  provided  Eurostat 
only with ‘spring’ Labour Force Survey data (this is second-quarter data except in the case 
of  France  and  Poland,  where  this  is  first-quarter  data).  The  last  sub-folder,  i.e.  "Regional 
labour  market  data  based  on  pre-2003  methodology  (data  up  to  2001)  –  LFS  adjusted  se-
ries", contains ‘spring’ LFS data. The ‘spring’ LFS data in the first four sub-folders is used 
for the following countries and years:  

EU countries: 
Germany:4 1999 – 2004  
France: 1999 – 2002  
Ireland: 1999 – 2002  
Luxembourg: 1999 – 2002 
The Netherlands: 1999 

4)  Even though Germany will only introduce LFS in all four quarters in 2005, which will enable the 
calculation of annual average figures, the Statistisches Bundesamt in Germany provides Eurostat 
with  estimations  of  annual  average  unemployment,  economically  active  population  and  unem-
ployment rate figures down to NUTS level 2 regions. These estimations are calculated on the basis 
of  the  LFS.  The  rest  of  the  1999–2004  regional  labour  market  statistics  on  Germany  represent 
second-quarter data. 

84 

 
                                               
Regional and Urban Statistics – Reference Guide 2006 

Sweden: 1999 – 2000 
Estonia: 1999 
Cyprus: 1999 – 2003  
Latvia: 1999 – 2001 
Lithuania: 1999 – 2001 
Poland: 1999 

EFTA countries: 
Norway: 1999 
Iceland: 1999 – 2002 
Switzerland: 1999 – 2003 

The regional labour market data for EFTA countries was published for the first time in Sep-
tember 2003.  

After the major reform of regional labour market statistics implemented in 2003 (changing 
second-quarter  LFS  results  to  annual  average  LFS  figures),  Eurostat  provides  annual  re-
gional  labour  market  data  from  1999  onwards  (exceptions  are  mentioned  above).  In  2005, 
estimates  of  annual  regional  employment  and  unemployment  rates  for  1995-1998  were 
published. 

For more information about regional labour market statistics see meta-data (M) on Eurostat 
web-site http://europa.eu.int/comm/eurostat/ under Data / General and regional statistics / 
Regions / Regional Labour Market. 

For  more  information  about  the  EU  Labour  Force  Survey  see  meta-data  (M)  on  Eurostat 
web-site  http://europa.eu.int/comm/eurostat/  under  Data  /  Population/social  conditions  / 
Labour market / Employment and unemployment under Summary Methodology. 

Basic concepts and definitions 

The  European  Union  Labour  Force  Survey  provides  population  estimates  for  the  main  la-
bour  market  characteristics,  such  as  employment,  unemployment,  economic  inactivity, 
hours  of  work,  occupation,  economic  activity  and  much  else  as  well  as  important  socio-
demographic  characteristics,  such  as  sex,  age,  education,  households  and  regions  of  resi-
dence. 

The  division  of  the  population  into  employed  persons,  unemployed  persons  and  economi-
cally  inactive  persons  (sometimes  labelled  as  inactive  persons)  follows  the  ILO  definition. 
Other concepts also follow broadly the recommendations of ILO. 

• 

Population  covers  persons  aged  15  and  over, living in private households (population 
living in collective households, i.e. residential homes, boarding houses, hospitals, reli-
gious  institutions,  workers’  hostels,  etc.  are  not  included).  This  comprises  all  persons 
living  in  the  households  surveyed  during  the  reference  week.  This  definition  also  in-
cludes persons absent from the households for the short periods (but having retained a 
link with the private household) owing to studies, holidays, illness, business trips, etc. 
Persons on obligatory military service are not included. 

85 

 
 
Regional and Urban Statistics – Reference Guide 2006 

•  Employed  persons  are  all  persons  aged  15  and  over  who  during  the  reference  week 
worked at least one hour for pay or profit, or were temporarily absent from such work. 
Family workers are included. 

•  Employment rate represents employed persons as a percentage of the population.  

•  Dispersion of regional (NUTS level 2) employment rates of age group 15-64 gives a 
measure of the regional (NUTS level 2) spread of employment rates within countries and 
aggregates (e.g. EU-25, Euro-zone).  

•  Unemployed  persons  comprise  persons  aged  15-74  who  were  (all  three  conditions 

must be fulfilled simultaneously): 

1.  without work during the reference week; 
2.  available for work at the time (i.e. were available for paid employment or self-

employment before the end of the two weeks following the reference week);  

3.  actively  seeking  work  (i.e.  had  taken  specific  steps  in  the  four-week  period 
ending with the reference week to seek paid employment or self-employment) 
or who found a job to start within a period of at most three months. 

• 

Economically  active  population  (sometimes  labelled  also  as  labour  force,  active 
persons or active population) comprises employed and unemployed persons. 

In  sub-folder  Regional economically active population there are two economically ac-
tive population tables for EU-25 and two tables for non-EU-25 countries:  

Economically  active  population  by  sex  and  age,  at  NUTS  levels  1,  2  and  3  –  EU  25 
(Non-EU25, respectively) (1000) 

Economically active population by sex and age, at NUTS levels 1 and 2 – EU 25 (Non-
EU25, respectively) (1000) 

The difference in the German figures and the EU totals between the two "economically 
active population" tables is due to the estimates of annual economically active popula-
tion (estimates on the basis of the LFS are provided by the Statistisches Bundesamt in 
Germany) that are used in the table "Economically active population by sex and age, 
at NUTS levels 1, 2 and 3 – EU 25 countries (1000)". These estimates cannot be used 
for the table "Economically active population by sex and age, at NUTS levels 1 and 2 – 
EU  25  countries  (1000)",  as  in  this  case  a  more  detailed  breakdown  is  required  and 
therefore the second-quarter data is used for Germany in this table. 

• 

Economic  activity  rate  represents  employed  and  unemployed  persons  (i.e.  eco-
nomically active population) as a percentage of the population.  

The economic activity rate can be broken down further by age and sex, e.g. the eco-
nomic activity rate of the age group 15-64 relates to persons aged 15-64. 

For  computing  economic  activity  rates,  the  table  "Economically  active  population  by 
sex  and  age,  at  NUTS  levels  1  and  2  –  EU  25  (Non-EU25  countries)  (1000)"  with  a 
more detailed breakdown is used. 

• 

Unemployment rate represents unemployed persons as a percentage of the economi-
cally active population.  

86 

 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

The unemployment rate can be broken down further by age and sex. The youth un-
employment rate relates to persons aged 15-24.  

For computing unemployment rates, the table "Economically active population by sex 
and age, at NUTS levels 1, 2 and 3 – EU 25 (1000)" is used comprising for Germany 
annual average estimates on basis of the LFS (provided by Statistisches Bundesamt, 
Germany). 

Long-term  unemployment  rate  represents  long-term  unemployed  (12  months  or 
longer)  as  a  percentage  of  the  sum  of  unemployed  for  less  than  one  year  and  long-
term unemployed.  

Dispersion of regional (NUTS levels 2 and 3) unemployment rates gives a measure 
of the regional (NUTS levels 2 and 3) spread of unemployment rates within countries 
and aggregates (EU-25, Euro-zone).  

Life-long  learning  represents  participation  of  adults  aged  25-64  in  education  and 
training. 

• 

• 

• 

5.2. Eurostat publications 

Methods and definitions 

Comments 

Labour Force Survey in the Acceding Countries – 
Methods and Definitions – 2002 

Description of the national survey in the 
13 Candidate countries in 2002. 

The  European  Union  Labour  Force  Survey  – 
Methods and definitions – 2001 

Description of the continuous survey in 
2001-2004. 

Labour  Force  Survey  in  Central  and  East  Euro-
pean Countries – Methods and definitions – 2000 

Description  of  the  survey  in  10  Central 
and  Eastern  European  Surveys;  in-
cludes questionnaires (1998). 

Labour Force Survey – Methods and definitions – 
1998 

Description  of  the  new  continuous  sur-
vey in 1998-2000. 

The  European  Union  Labour  Force  Survey  – 
Methods and definitions – 1996 

Essentially  the  same  as  “Labour  Force 
Survey – Methods and definitions –1992 
series”,  but  this  publication  incorpo-
rates  changes  resulting  from  the  acces-
sion of Austria, Finland and Sweden. 

Labour Force Survey – Methods and definitions –
1992 series 

Description  of  the  annual  survey  in 
1992-1997. 

Labour Force Survey – Methods and definitions – 
1988 

Description  of  the  annual  survey  in 
1983-1991,  (same  as  1985  publication, 
but includes Spain and Portugal). 

Labour  Force  Sample  Survey  –  Methods  and 
definitions – 1985 

Description  of  the  annual  survey  in 
1983-1991. 

Labour  Force  Sample  Survey  –  Methods  and  Description  of  the  biennial  survey  in 

87 

 
 
 
Regional and Urban Statistics – Reference Guide 2006 

definitions – 1977 

1973-1981. 

Quality 

Comments 

Report from the Commission to the Council and 
the European Parliament on the implementation 
of  Council  Regulation  (EC)  No.  577/98  COM 
(2003) 760(01). 

Report  from  the  Commission  to  the  European 
Parliament  and  Council  "Implementation  of  the 
Council  Regulation  (EC)  No.  577/98  on  the  or-
ganisation  of  a  labour  force  survey  in  the  Com-
munity" COM (2000) 895(01). 

Review  of  the  LFS  in  2000-2002  in  ac-
cordance  with  Article  7  of  the  said 
Regulation. 

Review  of  the  LFS  in  1998-1999  in  ac-
cordance  with  Article  7  of  the  said 
Regulation. 

5.3. Data sources 

NUTS levels 1 and 2 

Down to NUTS level 2, the regional labour market data is derived from the LFS. Individual 
LFS  data  is  sent  quarterly  by  the  National  Statistical  Institutes  to  Eurostat  (Unit  F-2,  La-
bour Market). The regional annual data down to NUTS level 2 is transferred to the section of 
regional statistics in summer (Eurostat, Unit D-2). 

NUTS level 3 

The base for NUTS level 3 data represents Labour Force Survey NUTS level 2 results. LFS 
NUTS level 2 absolute figures are divided among NUTS level 3 regions according to the dis-
tribution  of  NUTS  level  3  absolute  figures  provided  by  countries.  The  National  Statistical 
Institutes (NSIs) or other relevant institutions in the country concerned (e.g. National Office 
of  Employment)  send  once  a  year  to  Eurostat  (Unit  D-2,  Section  of  regional  statistics)  the 
NUTS level 3 unemployment and economically active population absolute data broken down 
by sex and age (15-24, 25 and over). The distribution of these data is used when attributing 
LFS NUTS level 2 figures to NUTS level 3. The source of the NUTS level 3 data provided by 
countries depends very much on the country.  

The  preference  list  for  the  source  of  NUTS  level  3  economically  active  population  broken 
down by sex and age (15-24, 25 and over) providing by countries:  

1. LFS annual average  
2. LFS three-year average  
3. Reliable register results  
4. Other reliable source 

The preference list for the source of NUTS level 3 unemployment data broken down by sex 
and age (15-24, 25 and over) providing by countries: 

88 

 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

1. LFS annual average 
2. Registered unemployment − annual average 
3. LFS three-year average  

5.4. Legal base 

The European Union Labour Force Survey is governed by the legislative Acts of the Council 
and Parliament, and by the Commission for their implementation. The principal legislation 
is the Council Regulation (EC) No 577/98 of 9 March 1998 on the organisation of a labour 
force sample survey in the Community (OJ No L 77/3). This is the main regulation and con-
tains provisions on design, survey characteristics and decision making processes.  

5.5. Contact person 

The  contact  person  for  the  regional  labour  market  statistics  is  Ms  Åsa  Önnerfors,  e-mail: 
asa.Onnerfors@cec.eu.int . 

For  methodological 
michal.mlady@cec.eu.int . 

questions, 

please 

contact  Mr  Michal  Mlady, 

e-mail: 

The  specialist  for  methodological  questions  in  unit  D-1  for  the  Labour  Force  Survey  is  Ms 
Ana Franco, e-mail: anna.franco@cec.eu.int . 

5.6. List of tables 

Regional economically active population – LFS series and LFS adjusted 
series 

EU-25 

UN3WPOP 

LF2ACT 

LF2ACTRT 

LF2ACEDU 

Economically active population by sex and age, at NUTS levels 1, 2 and 
3 – EU 25 (1000)  
Economically active population by sex and age, at NUTS levels 1 and 2 
– EU 25 (1000)  
Economic activity rates by sex and age, at NUTS levels 1 and 2 – EU 25 
(%)  
Economically active population by sex, age and highest level of 
education attained, at NUTS levels 1 and 2 – EU 25 (1000)  

Candidate and EFTA countries 

XUNWPOP 

XLFACT 

Economically active population by sex and age, at NUTS levels 1, 2 and 
3 – Non-EU25 Countries (1000)  
Economically active population by sex and age, at NUTS levels 1 and 2 
– Non-EU25 Countries (1000)  

89 

 
 
 
Regional and Urban Statistics – Reference Guide 2006 

XLFACTRT 

XLFACEDU 

Economic activity rates by sex and age, at NUTS levels 1 and 2 – Non-
EU25 Countries (%)  
Economically active population by sex, age and highest level of 
education attained, at NUTS levels 1 and 2 – Non-EU25 Countries 
(1000)  

Regional employment – LFS series 

EU-25 

LF2EMP 
LF2ENACE 

LF2ESTAT 

LF2EFTPT 

LF2EEDU 

LF2ECOMM 

LF2EMPRT 
LF0CVERT 

LF2EHOUR 

Employment by sex and age, at NUTS levels 1 and 2 – EU 25 (1000)  
Employment by economic activity, at NUTS levels 1 and 2 – EU 25 
(1000) 
Employment by professional status, at NUTS levels 1 and 2 – EU 25 
(1000) 
Employment by full-time/part-time and sex, at NUTS levels 1 and 2 – 
EU 25 (1000) 
Employment by sex, age and highest level of education attained, at 
NUTS levels 1 and 2 – EU 25 (1000) 
Employment and commuting among NUTS level 2 regions – EU 25 
(1000) 
Employment rates by sex and age, at NUTS levels 1 and 2 – EU 25 (%) 
Dispersion of regional (NUTS level 2) employment rates of age group 15-
64 – EU 25 (%)  
Average number of usual weekly hours of work in main job (full-time), 
at NUTS levels 1 and 2 – EU 25 (hours) 

Candidate and EFTA countries 

XLFEMP 

XLFENACE 

XLFESTAT 

XLFEFTPT 

XLFEEDU 

XLFECOMM 

XLFEMPRT 

XLFCVERT 

Employment by sex and age, at NUTS levels 1 and 2 – Non-EU25 
Countries (1000)  
Employment by economic activity, at NUTS levels 1 and 2 – Non-EU25 
Countries (1000) 
Employment by professional status, at NUTS levels 1 and 2 – Non-EU25 
Countries (1000) 
Employment by full-time/part-time and sex, at NUTS levels 1 and 2 – 
Non-EU25 Countries (1000) 
Employment by sex, age and highest level of education attained, at 
NUTS levels 1 and 2 – Non-EU25 Countries (1000) 
Employment and commuting among NUTS level 2 regions – Non-EU25 
Countries (1000) 
Employment rates by sex and age, at NUTS levels 1 and 2 – Non-EU25 
Countries (%) 
Dispersion of regional (NUTS level 2) employment rates of age group 15-
64 – Non-EU25 Countries (%)  

90 

 
 
 
Regional and Urban Statistics – Reference Guide 2006 

XLFEHOUR 

Average number of usual weekly hours of work in main job (full-time), 
at NUTS levels 1 and 2 – Non-EU25 Countries (hours) 

Regional unemployment – LFS adjusted series 

EU-25 

UN3PERS 

UN3RT 

UN0CVUNE 

UN2LTU 

Unemployment by sex and age, at NUTS levels 1, 2 and 3 – EU 25 
(1000) 
Unemployment rates by sex and age, at NUTS levels 1, 2 and 3 – EU 25 
(%) 
Dispersion of regional (NUTS levels 2 and 3) unemployment rates – EU 
25 (%)  
Long-term unemployment (12 months and more), at NUTS levels 1 and 
2 – EU 25 (1000; %) 

Candidate and EFTA countries 

XUNPERS 

XUNRT 

XUNCVUNE 

XUNLTU 

Unemployment by sex and age, at NUTS levels 1, 2 and 3 – Non-EU25 
Countries (1000) 
Unemployment rates by sex and age, at NUTS levels 1, 2 and 3 – Non-
EU25 Countries (%) 
Dispersion of regional (NUTS levels 2 and 3) unemployment rates – 
Non-EU25 Countries (%)  
Long-term unemployment (12 months and more), at NUTS levels 1 and 
2 – Non-EU25 Countries (1000; %) 

Regional socio-demographic labour force statistics – LFS series 

EU-25 

LF2HH 

LF2POP 

LF2PEDU 

LF2P_LLL 

Number of households by degree of urbanisation of residence, at NUTS 
levels 1 and 2 – EU 25 (1000) 
Population aged 15 and over by sex and age, at NUTS levels 1 and 2 – 
EU 25 (1000) 
Population aged 15 and over by sex, age and highest level of education 
attained, at NUTS levels 1 and 2 – EU 25 (1000) 
Life-long learning – participation of adults aged 25-64 in education and 
training, at NUTS levels 1 and 2 – EU 25 (1000) 

Candidate and EFTA countries 

XLFHH 

Number of households by degree of urbanisation of residence, at NUTS 
levels 1 and 2 – Non-EU25 Countries (1000)  

91 

 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

XLFPOP 

XLFPEDU 

XLFP_LLL 

Population aged 15 and over by sex and age, at NUTS levels 1 and 2 – 
Non-EU25 Countries (1000) 
Population aged 15 and over by sex, age and highest level of education 
attained, at NUTS levels 1 and 2 – Non-EU25 Countries (1000) 
Life-long learning – participation of adults aged 25-64 in education and 
training, at NUTS levels 1 and 2 – Non-EU25 Countries (1000) 

Regional labour market data based on pre-2003 methodology (data up to 
2001) - LFS adjusted series 

EU-25 

WPOP_Q2 

ACT_Q2 

ACTRT_Q2 

EMP_Q2 
EMPN_Q2 

EMPRT_Q2 

CVERT_Q2 

PERS_Q2 

RT_Q2 

STDV_Q2 

LTU_Q2 

HH_Q2 

POP_Q2 

Economically active population by sex and age, at NUTS levels 1, 2 and 
3 – EU 25 (1000)  
Economically active population by sex and age, at NUTS levels  
1 and 2 – EU 25 (1000)  
Economic activity rates by sex and age, at NUTS levels 1 and 2 – EU 25 
(%)  
Employment by sex and age, at NUTS levels 1 and 2 – EU 25 (1000) 
Employment by economic activity, full-time/part-time and sex, at NUTS 
levels 1 and 2 – EU 25 (1000) 
Employment rates of age group 15-64 by sex, at NUTS levels 1 and 2 – 
EU 25 (%) 
Dispersion of regional (NUTS level 2) employment rates of age group 15-
64 – EU 25 (%) 
Unemployment by sex and age, at NUTS levels 1, 2 and 3 – EU 25 
(1000) 
Unemployment rates by sex and age, at NUTS levels 1, 2 and 3 – EU 25 
(%) 
Dispersion of regional (NUTS levels 2 and 3) unemployment rates – EU 
25 (%)  
Long-term unemployment (12 months and more), at NUTS levels 1 and 
2 – EU 25 (1000; %) 
Number of households by degree of urbanisation of residence, at NUTS 
levels 1 and 2 – EU 25 (1000) 
Population aged 15 and over by sex and age, at NUTS levels 1 and 2 – 
EU 25 (1000) 

Candidate and EFTA countries 

XWPOP_Q2 

XACT_Q2 

Economically active population by sex and age, at NUTS levels 1, 2 and 
3 – Non-EU25 Countries (1000)  
Economically active population by sex and age, at NUTS levels 1 and 2 
– Non-EU25 Countries (1000)  

92 

 
 
 
XACTR_Q2 

XEMP_Q2 

XEMPN_Q2 

XEMPR_Q2 

XCVER_Q2 

XPERS_Q2 

XRT_Q2 

XSTDV_Q2 

XLTU_Q2 

XHH_Q2 

XPOP_Q2 

Regional and Urban Statistics – Reference Guide 2006 

Economic activity rates by sex and age, at NUTS levels 1 and 2 – Non-
EU25 Countries (%)  
Employment by sex and age, at NUTS levels 1 and 2 – Non-EU25 
Countries (1000)  
Employment by economic activity, full-time/part-time and sex, at NUTS 
levels 1 and 2 – Non-EU25 Countries (1000) 
Employment rates of age group 15-64 by sex, at NUTS levels 1 and 2 – 
Non-EU25 Countries (%) 
Dispersion of regional (NUTS level 2) employment rates of age group 15-
64 – Non-EU25 Countries (%)  
Unemployment by sex and age, at NUTS levels 1, 2 and 3 – Non-EU25 
Countries (1000) 
Unemployment rates by sex and age, at NUTS levels 1, 2 and 3 – Non-
EU25 Countries (%) 
Dispersion of regional (NUTS levels 2 and 3) unemployment rates – 
Non-EU25 Countries (%)  
Long-term unemployment (12 months and more), at NUTS levels 1 and 
2 – Non-EU25 Countries (1000; %) 
Number of households by degree of urbanisation of residence, at NUTS 
levels 1 and 2 – Non-EU25 Countries (1000)  
Population aged 15 and over by sex and age, at NUTS levels 1 and 2 – 
Non-EU25 Countries (1000) 

93 

 
 
Regional and Urban Statistics – Reference Guide 2006 

5.7. Detailed description 

Regional economically active population – LFS series and LFS adjusted 
series 

UN3WPOP 

Economically active population by sex and age, at NUTS levels 1, 2 
and 3 – EU 25 (1000) 

XUNWPOP  

ditto for Candidate and EFTA countries 

Dimensions: 

1. 

AGE 

2. 

SEX 

y15_max 
y15_24 
y25_max 
t 
m 
f 

15 years and over 
Between 15 and 24 years 
25 years and over 
Total 
Males 
Females 

3. 
4. 

GEO 
TIME 

  Geopolitical entities NUTS-2003: at NUTS levels 1, 2 and 3 
  from 1999 (yearly) 

Unit: 

1000 persons 

LF2ACT 

XLFACT 

Dimensions: 

1. 

SEX 

2. 

AGE 

3. 
4. 

GEO 
TIME 

Economically  active  population  by  sex  and  age,  at  NUTS  levels  1 
and 2 – EU 25 (1000)  
ditto for Candidate and EFTA countries 

Total 
Males 
Females 
15 years and over 
Between 15 and 24 years 
25 years and over 
Between 25 and 34 years 
Between 35 and 44 years 
Between 45 and 54 years 
Between 15 and 64 years 
Between 55 and 64 years 
65 years and over 

t 
m 
f 
y15_max 
y15_24 
y25_max 
y25_34 
y35_44 
y45_54 
y15_64 
y55_64 
y65_max 
Geopolitical entities NUTS-2003: at NUTS levels 1 and 2 
from 1999 (yearly) 

Unit: 

1000 persons 

LF2ACTRT 

Economic  activity  rates  by  sex  and  age,  at  NUTS  levels  1  and  2  – 
EU 25 (%) 

94 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

XLFACTRT 

Dimensions: 

1. 

SEX 

2. 

AGE 

3. 
4. 

GEO 
TIME 

ditto for Candidate and EFTA countries 

Total 
Males 
Females 
15 years and over 
Between 15 and 24 years 
25 years and over 
Between 25 and 34 years 
Between 35 and 44 years 
Between 45 and 54 years 
Between 15 and 64 years 
Between 55 and 64 years 
65 years and over 

t 
m 
f 
y15_max 
y15_24 
y25_max 
y25_34 
y35_44 
y45_54 
y15_64 
y55_64 
y65_max 
Geopolitical entities NUTS-2003: at NUTS levels 1 and 2 
from 1999 (yearly) 

Unit: 

% 

Employed and unemployed persons as a percentage of population.  

LF2ACEDU 

XLFACEDU 

Dimensions: 

1. 

SEX 

Economically  active  population  by  sex,  age  and  highest  level  of 
education attained, at NUTS levels 1 and 2 – EU 25 (1000) 

ditto for Candidate and EFTA countries 

t 
  m 
  f 

Total 
Males 
Females 

2. 

3. 

AGE 

y15_max  15 years and over 
 y25_64  Between 25 and 64 years 

ISCED97 

International Standard Classification of Education – 1997(ISCED): 

  total 
  isced0_2  Pre-primary,  primary  and  lower  secondary  education  – 

Total (ISCED 1997) 

levels 0-2 (ISCED 1997)  

  isced3_4  Upper secondary and post-secondary non-tertiary educa-

tion – levels 3-4 (ISCED 1997) 

  isced5_6  Tertiary education – levels 5-6 (ISCED 1997) 

nresp 

No answer 

4. 
5. 

GEO 
TIME 

Geopolitical entities NUTS-2003: at NUTS levels 1 and 2 
from 1999 (yearly) 

Unit: 

1000 persons 

95 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

Regional employment – LFS series 

LF2EMP 
XLFEMP 

Dimensions: 

1. 

SEX 

2. 

AGE 

3. 
4. 

GEO 
TIME 

Employment by sex and age, at NUTS levels 1 and 2 – EU 25 (1000) 
ditto for Candidate and EFTA countries 

Total 
Males 
Females 
15 years and over 
Between 15 and 24 years 
25 years and over 
Between 25 and 34 years 
Between 35 and 44 years 
Between 45 and 54 years 
Between 15 and 64 years 
Between 55 and 64 years 
65 years and over 

t 
m 
f 
y15_max 
y15_24 
y25_max 
y25_34 
y35_44 
y45_54 
y15_64 
y55_64 
y65_max 
Geopolitical entities NUTS-2003: at NUTS levels 1 and 2 
from 1999 (yearly) 

Unit: 

1000 persons 

LF2ENACE 

XLFENACE 

Dimensions: 

1. 

NACE  

2. 

GEO 

Employment  by  economic  activity,  at  NUTS levels 1 and 2 –EU 25 
(1000) 
ditto for Candidate and EFTA countries 

  Classification of economic activities - NACE Rev.1.1: 
  TOTAL   All NACE branches – Total 
  A_B  
  C_D_E  
  C_to_F 
  F  
  G_to_Q  Services  (excluding  extra-territorial  organizations  and 

Agriculture, hunting, forestry and fishing 
Industry, including energy and excluding construction 
Industry, including energy and construction 
Construction 

bodies) 

  G_H_I   Wholesale and retail trade, repair of motor vehicles, mo-
torcycles  and  personal  and  household  goods;  hotels  and 
restaurants; transport, storage and communication 
Financial intermediation; real estate, renting and  
business activities 

  J_K  

  L_to_Q   Public  administration  and  defence,  compulsory  social 
security;  education;  health  and  social  work;  other  com-
munity,  social  and  personal  service  activities;  private 
households with employed persons 
  Geopolitical entities NUTS-2003: at NUTS levels 1 and 2 

96 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
    
 
    
 
    
 
    
 
    
 
    
 
    
 
    
 
    
   
 
    
Regional and Urban Statistics – Reference Guide 2006 

3. 

TIME 

  from 1999 (yearly) 

Unit: 

1000 persons 

LF2ESTAT 

XLFESTAT  

Dimensions: 

Employment by professional status, at NUTS levels 1 and 2 –EU 25 
(1000) 
ditto for Candidate and EFTA countries 

1. 

2. 
3. 

WSTATUS  Employment status: 
EMP 
SAL 
SELF 
FAM 
NRESP  No response 
Geopolitical entities NUTS-2003: at NUTS levels 1 and 2 
from 1999 (yearly) 

Employment 
Employees 
Self-employed 
Family workers 

GEO 
TIME 

Unit: 

1000 persons 

LF2EFTPT 

XLFEFTPT  

Dimensions: 

1. 

SEX 

2. 

FT-PT 

3. 
4. 

  GEO 
  TIME 

Employment by full-time/part-time and sex, at NUTS levels 1 and 2 
– EU 25 (1000) 
ditto for Candidate and EFTA countries 

  t 

  Total 
Males 
m 
f 
Females 
Working time (full/part-time): 
total 
pt 
nresp 
Geopolitical entities NUTS-2003: at NUTS levels 1 and 2 
from 1999 (yearly) 

Total 
Part-time 
No response 

Unit: 

    1000 persons 

LF2EEDU 

Employment by sex, age and highest level of education attained, at 
NUTS levels 1 and 2 – EU 25 (1000)  

XLFEEDU 

ditto for Candidate and EFTA countries 

97 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

Dimensions: 

1.   

SEX 

  t 

m 

  f 

Total 
Males 
Females 

2.     

AGE 

y15_max  15 years and over 

  y25_64  Between 25 and 64 years 

3  

ISCED97 

International Standard Classification of Education – 1997 (ISCED): 
total 
isced0_2  Pre-primary,  primary  and  lower  secondary  education  – 

Total (ISCED 1997) 

levels 0-2 (ISCED 1997)  

isced3_4  Upper  secondary  and  post-secondary  non-tertiary  edu-

cation – levels 3-4 (ISCED 1997)   
isced5_6  Tertiary education – levels 5-6 (ISCED 1997)  
nresp 

No answer 

4. 

5. 

GEO 

Geopolitical entities NUTS-2003: at NUTS levels 1 and 2 

TIME 

from 1999 (yearly) 

Unit: 

 1000 persons 

LF2ECOMM 

Employment  and  commuting  among  NUTS  level  2  regions  –EU  25 
(1000) 

XLFECOMM 

  ditto for Candidate and EFTA countries 

Dimensions: 

1. 

WRKPLACE  

Workplace: 
same_reg 
oth_reg 
nresp 

Working in the same region 
Working in another region 
No answer 

2. 
3. 

GEO 
TIME 

Geopolitical entities NUTS-2003: at NUTS level 2 
from 1999 (yearly) 

Unit: 

1000 persons 

LF2EMPRT 
XLFEMPRT 

Dimensions: 

1. 

SEX 

Employment rates by sex and age, at NUTS levels 1 and 2  
ditto for Candidate and EFTA countries 

t 
m 
f 

Total 
Males 
Females 

98 

 
 
 
 
  
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

2. 

AGE 

3. 
4. 

GEO 
TIME 

Between 15 and 24 years 

y15_max  15 years and over 
y15_24 
y25_max  25 years and over 
y25_34 
y35_44 
y45_54 
y15_64 
y55_64 
y65_max  65 years and over 
Geopolitical entities NUTS-2003: at NUTS levels 1 and 2 
from 1999 (yearly) 

Between 25 and 34 years 
Between 35 and 44 years 
Between 45 and 54 years 
Between 15 and 64 years 
Between 55 and 64 years 

Unit: 

% 

Employed persons as a percentage of population. 

LF0VERT 

XLFCVERT 

Dimensions: 

1. 

SEX 

2. 
3. 

GEO 
TIME 

Unit: 

% 

LF2EHOUR 

XLFEHOUR 

Dimensions: 

Dispersion of regional (NUTS level 2) employment rates of age group 
15-64 – EU 25 (%) 
ditto for Candidate and EFTA countries 

Total 
Males 
Females 

t 
  m 
  f 
  Geopolitical entities NUTS-2003: at NUTS level 0 (countries) 
  from 1999 (yearly) 

Ratio  of  standard  deviation  of  the  weighted  regional  (NUTS  level  2) 
employment  rates  of  the  age  group  15-64  to  employment  rate  of  the 
same age group at national level (EU level, respectively) expressed as 
a percentage. 

Average number of usual weekly hours of work in main job (full 
time) , at NUTS levels 1 and 2 – EU 25 (hours) 

ditto for Candidate and EFTA countries 

1. 
2. 

GEO 
TIME 

Geopolitical entities NUTS-2003: at NUTS levels 1 and 2  
from 1999 (yearly) 

Unit: 

hours 

99 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
  
 
  
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

Regional unemployment – LFS adjusted series  

UN3PERS 

XUNPERS 

Dimensions: 

1. 

AGE 

2. 

SEX 

3. 
4. 

GEO 
TIME 

Unemployment by sex and age, at NUTS levels 1, 2 and 3 –EU 25 
(1000)  
ditto for Candidate and EFTA countries 

15 years and over  
Between 15 and 24 years 
25 years and over 
Total 
Males 
Females 

  y15_max 
  y15_24 
  y25_max 
  t  
  m 
  f  
  Geopolitical entities NUTS-2003: at NUTS levels 1, 2 and 3 
  from 1999 (yearly) 

Unit: 

1000 persons 

UN3RT 

XUNRT 

Dimensions: 

1. 

AGE 

2. 

SEX 

3. 
4. 

GEO 
TIME 

Unemployment  rates  by  sex  and  age,  at  NUTS  levels  1,  2  and  3  – 
EU 25 (%) 
ditto for Candidate and EFTA countries 

15 years and over 
Between 15 and 24 years 
25 years and over 
Total 
Males 
Females 

  y15_max 
    y15_24 
  y25_max 
  t  
  m 
  f  
  Geopolitical entities NUTS-2003: at NUTS levels 1, 2 and 3 
  from 1999 (yearly) 

Unit: 

% 

  Unemployed  persons  as  a  percentage  of  the  economically  active 
  population.  

UN0CVUNE 

XUNCVUNE 

Dispersion of regional (NUTS levels 2 and 3) unemployment rates – 
EU 25 (%)  
ditto for Candidate and EFTA countries 

Dimensions: 

1. 

CVINFO   

  Level of regional base: 

100 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

Dispersion based on NUTS level 2 
Dispersion based on NUTS level 3 

  cv_nuts 2  
  cv_nuts 3  
  Geopolitical entities NUTS-2003: at NUTS level 0 (countries) 
  from 1999 (yearly) 

Ratio  of  standard  deviation  of  the  weighted  regional  (NUTS  level  2, 
level 3 respectively) unemployment rates to unemployment rate at na-
tional level (EU level, respectively) expressed as a percentage. 

Long-term unemployment (12 months and more), at NUTS levels 1 
and 2 – EU 25 (1000; %) 
ditto for Candidate and EFTA countries 

2. 
3. 

GEO 
TIME 

Unit: 

% 

UN2LTU 

XUNLTU 

Dimensions: 

1. 

UNIT 

  nbr 

1000 persons 

  ltu_une_rt 

 % (Persons unemployed for one year or longer, as a 
percentage  of  the  sum  of  those  unemployed  for  less 
than one year and those unemployed for one year or 
longer.) 

2. 

3. 

GEO 

  Geopolitical entities NUTS-2003: at NUTS levels 1 and 2 

TIME 

  from 1999 (yearly) 

Regional socio-demographic labour force statistics – LFS series 

LF2HH 

XLFHH 

Dimensions: 

Number  of  households  by  degree  of  urbanisation  of  residence,  at 
NUTS levels 1 and 2 – EU 25 (1000) 
ditto for Candidate and EFTA countries (information about Degree of 
urbanisation is not available) 

1. 

DEG_URB  Degree of urbanisation: 

deg1  Densely-populated area (at least 500 inhabitants/km2) 
deg2 
deg3  Sparsely populated area (less than 100 inhabitants/km2) 

Intermediate urbanized area (100 to 499 inhabitants/km2) 

2. 
3. 

 GEO  
   TIME 

Geopolitical entities NUTS-2003: at NUTS levels 1 and 2 
from 1999 (yearly) 

Unit: 

  1000 households 

101 

 
 
  
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
LF2POP 

XLFPOP 

Dimensions: 

1. 

SEX 

2. 

AGE 

3. 
4. 

GEO 
TIME 

Regional and Urban Statistics – Reference Guide 2006 

Population aged 15 and over by sex and age, at NUTS levels 1 and 
2 – EU 25 (1000) 
ditto for Candidate and EFTA countries 

Between 15 and 24 years 

Total 
t 
Males 
m 
f 
Females 
y15_max  15 years and over 
y15_24 
y25_max  25 years and over 
y25_34 
y35_44 
y45_54 
y15_64 
y55_64 
y65_max  65 years and over 
Geopolitical entities NUTS-2003: at NUTS levels 1 and 2 
from 1999 (yearly) 

Between 25 and 34 years 
Between 35 and 44 years 
Between 45 and 54 years 
Between 15 and 64 years 
Between 55 and 64 years 

Unit: 

  1000 households 

LF2PEDU 

Population aged 15 and over by sex, age and highest level of educa-
tion attained, at NUTS levels 1 and 2 – EU 25 (1000) 

XLFPEDU   

Dimensions: 

1. 

SEX 

2. 

AGE 

ditto for Candidate and EFTA countries 

  m 

t 

Total 
Males 
f 
Females 
y15_max  15 years and over 
y25_64 

Between 25 and 64 years 

3.  

ISCED97 
total 

International Standard Classification of Education – 1997 (ISCED): 

Total (ISCED 1997) 

isced0_2  Pre-primary,  primary  and  lower  secondary  education  – 

levels 0-2 (ISCED 1997)  

isced3_4  Upper secondary and post-secondary non-tertiary educa-

tion – levels 3-4 (ISCED 1997) 

isced5_6  Tertiary education – levels 5-6 (ISCED 1997) 
nresp 

No answer 

4. 
5. 

GEO 
TIME 

Geopolitical entities NUTS-2003: at NUTS levels 1 and 2 
from 1999 (yearly) 

Unit: 

1000 persons 

102 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

LF2PLLL 

XLFPLLL 

Dimensions: 

1. 

 LLL 

2. 
3. 

 GEO 
TIME 

Life-long learning – participation of adults aged 25-64 in education 
and training, at NUTS levels 1 and 2 – EU 25 (1000)  
ditto for Candidate and EFTA countries 

Life-long learning: 
lll 
no_lll 
nresp 
total 
Geopolitical entities NUTS-2003: at NUTS levels 1 and 2  
from 1999 (yearly) 

Participation in life-long learning 
No participation in life-long learning 
No answer 
Total 

Unit: 

1000 persons 

Regional labour market data based on pre-2003 methodology  
(data up to 2001) - LFS adjusted series  

WPOP_q2 

XWPOP_q2  

Dimensions: 

Economically active population by sex and age, at NUTS levels 1, 2 
and 3 – EU 25 (1000) 

ditto  for  Candidate  countries  (but  TIME  is  from  1997  (yearly)  up  to 
2001) 

1. 
2. 

3. 

4. 

GEO 
SEX 

AGE  

TIME 

  Geopolitical entities NUTS 2003: at NUTS levels 1, 2 and 3 
Total 
  t 
Males 
  m 
Females 
  f 
15 years and over 
  y15_max 
between 15 and 24 years 
  y15-24 
25 years and over 
  y25_max 
  from 1983 (yearly) up to 2001 

Unit: 

1000 persons 

ACT_Q2 

ACT_Q2 

Dimensions: 

Economically  active  population  by  sex  and  age,  at  NUTS  levels  1 
and 2 – EU 25 (1000) 

ditto  for  Candidate  countries  (but  TIME  is  from  1997  (yearly)  up  to 
2001) 

1. 

GEO 

Geopolitical entities NUTS-2003: at NUTS levels 1 and 2 

103 

 
 
 
 
 
    
 
 
 
 
 
 
 
     
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

2. 

SEX 

3. 

AGE  

4. 

TIME 

Total 
t 
Males 
m 
Females 
f 
15 years and over  
y15_max 
Between 15 and 24 years 
y15_24 
Between 25 and 34 years 
y25_34 
Between 35 and 44 years 
y35_44 
Between 45 and 54 years 
y45_54 
Between 55 and 64 years 
y55_64 
65 years and over 
y65_max 
from 1977 (yearly) up to 2001 

Unit: 

1000 persons 

ACTRT_Q2 

XACTRT_Q2 

Dimensions: 

1. 
2. 

GEO 
SEX 

3. 

AGE  

4. 

TIME 

Economic  activity  rates  by  sex  and  age,  at  NUTS  levels  1  and  2  – 
EU 25 (%) 

ditto  for  Candidate  countries  (but  TIME  is  from  1997  (yearly)  up  to 
2001) 

Geopolitical entities NUTS-2003: at NUTS levels 1 and 2 
t 
Total 
m 
Males 
f 
Females 
y15_max 
15 years and over 
y15_24 
Between 15 and 24 years 
y25_34 
Between 25 and 34 years 
y35_44 
Between 35 and 44 years 
y45_54 
Between 45 and 54 years 
y55_64 
Between 55 and 64 years 
65 years and over 
y65_max 
from 1977 (yearly) up to 2001 

Unit: 

% Employed and unemployed persons as a percentage of population. 

EMP_Q2 
XEMP_Q2 

Employment by sex and age, at NUTS levels 1 and 2 – EU 25 (1000) 
ditto  for  Candidate  countries  (but  TIME  is  from  1997  (yearly)  up  to 
2001) 

104 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

Dimensions: 

1. 
2. 

GEO 
SEX 

3. 

AGE 

4. 

TIME 

Geopolitical entities NUTS-2003: at NUTS levels 1 and 2 
Total 
t 
Males 
m 
Females 
f 
15 years and over 
y15_max 
Between 15 and 24 years 
y15_24 
Between 25 and 34 years 
y25_34 
Between 35 and 44 years 
y35_44 
Between 45 and 54 years 
y45_54 
Between 55 and 64 years 
y55_64 
y65_max 
65 years and over 
from 1996 (yearly) up to 2001 

Unit: 

1000 persons 

EMPN_Q2 

XEMPN_Q2 

Dimensions: 

Employment  by  economic  activity,  full-time/part-time  and  sex,  at 
NUTS levels 1 and 2 – EU 25 (1000) 

ditto  for  Candidate  countries  (but  TIME  is  from  1997  (yearly)  up  to 
2001) 

1. 
2. 

3. 

GEO 
SEX 

FT_PT 

Geopolitical entities NUTS-2003: at NUTS levels 1 and 2 
t 
m 
f 
Work time (full/part-time): 

Total 
Males 
Females 

total 
pt 

Total 
Part time 

4.  

NACECLIO   Products, goods and services NACE-CLIO: 

Agricultural, forestry and fishery products 
b01  
Industry 
b02  
Services 
b03  
total  
b01 + b02 + b03 
from 1983 (yearly) up to 2001 

5.  

TIME 

Unit: 

1000 persons 

EMPRT_Q2 

XEMPRT_Q2 

Employment rates of age group 15-64 by sex, at NUTS levels 1 and 
2 – EU 25 (%) 
ditto  for  Candidate  countries  (but  TIME  is  from  1997  (yearly)  up  to 
2001) 

105 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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Dimensions: 

GEO 
SEX 

TIME 

Geopolitical entities NUTS-2003: at NUTS levels 1 and 2 
t 
m 
f 
from 1996 (yearly) up to 2001 

Total 
Males 
Females 

1. 
2. 

3. 

Unit: 

CVERT_Q2 

XCVERT_Q2 

Dimensions: 

1. 
2. 

GEO 
SEX 

3. 

TIME  

Unit: 

PERS_Q2 

XPERS_Q2  

Dimensions: 

%  Employed  persons  aged  15-64  as  a  percentage  of  the  population 
aged 15-64. 

Dispersion of regional (NUTS level 2) employment rates of age group 
15-64 – EU 25 (%) 

ditto  for  Candidate  countries  (but  TIME  is  from  1998  (yearly)  up  to 
2001) 

Geopolitical entities NUTS-2003: at NUTS level 0 (countries) 
t 
m 
f 
from 1996 (yearly) up to 2001 

Total 
Males 
Females 

% Ratio of standard deviation of the weighted regional (NUTS level 2) 
employment  rates  of  the  age  group  15-64  to  employment  rate  of  the 
same age group at national level (EU level, respectively) expressed as 
a percentage. 

Unemployment by sex and age, at NUTS levels 1, 2 and 3 –EU 25 
(1000) 

 ditto  for  Candidate  countries  (but  TIME  is  from  1995  (yearly)  up  to 
2001) 

1. 
2. 

3. 

4. 

GEO 
SEX 

AGE  

TIME 

  Geopolitical entities NUTS 2003: at NUTS levels 1, 2 and 3 
  t 
  m 
  f 
  y15_max 
  y15-24 
  y25_max 
  from 1983 (yearly) up to 2001 

Total 
Males 
Females 
15 years and over 
between 15 and 24 years 
25 years and over 

106 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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Unit: 

1000 persons 

RT_q2 

XRT_q2 

Dimensions: 

Unemployment  rates  by  sex  and  age,  at  NUTS  levels  1,  2  and  3  – 
EU 25 (%) 

ditto  for  Candidate  countries  (but  TIME  is  from  1997  (yearly)  up  to 
2001) 

1. 
2. 

3. 

4. 

Unit: 

GEO 
SEX 

AGE  

TIME 

Geopolitical entities NUTS-2003: at NUTS levels 1, 2 and 3 
Total 
t 
Males 
  m 
Females 
  f 
15 years and over 
  y15_max 
between 15 and 24 years 
  y15_24 
  y25_max 
25 years and over 
  from 1983 (yearly) up to 2001 

%  Unemployed  persons  as  a  percentage  of  the  economically  active 
population. 

STDV_q2 

XSTDV_q2 

Dimensions: 

Dispersion of regional (NUTS levels 2 and 3) unemployment rates – 
EU 25 (%) 

ditto for Candidate countries (but TIME is from 1998 (yearly) up to 
2001) 

1. 
2. 

3. 

Unit: 

GEO 
CVINFO 

TIME  

  Geopolitical entities NUTS-2003: at NUTS level 0 (countries) 
  Level of regional base: 
  cv_nuts 2  
  cv_nuts 3  
  from 1995 (yearly) up to 2001 

Dispersion based on NUTS level 2 
Dispersion based on NUTS level 3 

% Ratio of standard deviation of the weighted regional (NUTS level 2, 
level  3  respectively)  unemployment  rates  to  unemployment  rate  at 
national level (EU level, respectively) expressed as a percentage. 

LTU_q2 

XLTU_q2 

Long-term unemployment (12 months and more), at NUTS levels 1 
and 2 – EU 25 (1000; %) 

 ditto  for  Candidate  countries  (but  TIME  is  from  1997  (yearly)  up  to 
2001) 

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Dimensions: 

1. 
2. 

GEO 
UNIT 

  Geopolitical entities NUTS 2003: at NUTS levels 1 and 2 
  nbr 
  ltu_une_rt  % (Persons unemployed for one year or longer as a 

 1000 persons 

percentage of total unemployed persons.) 

3. 

TIME 

  from 1987 (yearly) up to 2001 

Unit: 

1000 persons 

HH_Q2 

XHH_Q2 

Dimensions: 

Number  of  households  by  degree  of  urbanisation  of  residence,  at 
NUTS levels 1 and 2 – EU 25 (1000) 

ditto  for  Candidate  countries  (but  TIME  is  from  1997  (yearly)  up  to 
2001 and information about Degree of urbanisation is not available) 

1. 
2. 

GEO 
DEG_URB  Degree of urbanisation: 

Geopolitical entities NUTS-2003: at NUTS levels 1 and 2 

total 
deg1 
deg2 

Total 
Densely-populated area (at least 500 inhabitants/km²) 
Intermediate urbanized area (between 100 and 499 
inhabitants/km²) 
Sparsely populated area (less than 100 inhabitants/km²) 

3. 

TIME 

deg3 
from 1992 (yearly) up to 2001 

Unit: 

1000 households 

POP_Q2 

XPOP_Q2 

Dimensions: 

1. 
2. 

GEO 
SEX 

3. 

AGE  

4. 

TIME 

Population aged 15 and over by sex and age, at NUTS levels 1 and 
2 – EU 25 (1000) 

ditto  for  Candidate  countries  (but  TIME  is  from  1997  (yearly)  up  to 
2001) 

Geopolitical entities NUTS-2003: at NUTS levels 1 and 2 
Total 
t 
Males 
m 
Females 
f 
15 years and over 
y15_max 
Between 15 and 24 years 
y15_24 
Between 25 and 34 years 
y25_34 
Between 35 and 44 years 
y35_44 
Between 45 and 54 years 
y45_54 
Between 55 and 64 years 
y55_64 
y65_max 
65 years and over 
from 1977 (yearly) up to 2001 

108 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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Unit: 

1000 persons 

109 

 
 
 
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6.  Migration statistics 

6.1. General presentation 

The regional migration datasets provide the national figures corresponding to the in and out 
movements within the country: p2mint and abroad: p2mext.  

No  distinction  is  made  between  national  and  non-national  residents  but  movements  are 
differentiated depending on whether or not they involve the crossing of national borders. 

Requested  definitions  of  migrants  are  the  internationally  recommended  definitions  for  the 
measurement of migration flows. 

Applied  definitions  of  age  may  not  always  be  homogeneous,  the  standard  definition  being 
age at the end of the year. Therefore anomalies can be found in the y0 and y0_4 age classes 
because of the relabeling of the classes for standardisation purposes.  

The internal migration flows at NUTS level 2 are split in the arrivals and departures tables 
distributed by age. The internal migration by sex and region of origin and of destination ma-
trices per country give the regional distribution of the flows for regions at Nuts2 level.  

Regions in the GEO list figure out the number of departures with destination to the corre-
sponding PARTNER regions. 

Total inflows, in the intersection of the PARTNER regions with the corresponding region in 
the GEO list at Nuts0 level  -national level- should therefore match the figure for the corre-
sponding region in the arrivals table while total outflows, in the intersection of the GEO re-
gions with the corresponding Nuts0 region -national  level- in the PARTNER,will correspond 
with the figure for age total in the departures table. 

Due to intra-regional migration, data from some of the countries and for some years in the 
detailed arrivals and departures by age tables were not consistent with the internal migra-
tion  matrix  by  origin  and  destination.  To  solve  this  problem  Eurostat  estimated  adjusted 
figures for these two tables. 

The following procedure was followed: Totals from the internal migration matrix were trans-
ferred to the column with the totals in the arrivals and departures tables, while the age dis-
tribution as existed in the original data was maintained by applying the age percentages to 
the new total figures from the flow matrix. 

The estimations produced have been consequently flagged as Eurostat estimates. 

The number of movements involving the crossing of national borders are to be found in the 
p2mext group reporting on external migration figures at NUTS level 2. 

Because of inconsistent definitions of age, differences might be expected in some cases with 
the  figures  reported  in  the  international  migration  flows  collection,  in  the  NewCronos  do-
main International Migration and Asylum, under theme3: Population and social conditions. 

Figures  for  Spain  report  only  about  national  emigrants,  while  immigration  takes  into  ac-
count also nationals coming from abroad as well as foreigners. 

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6.2. Eurostat publications 

Population statistics, Eurostat (annual) 

6.3. Data sources 

All migration statistics are sent by National Statistical Offices. 

E:  

UK:  

Ministerio de Trabajo y Asuntos Sociales 

National Health Service Central Register (NHSCR) (internal migrations) 
ONS estimates are derived from the International Passenger Survey (external 
migration) 

6.4. Legal base 

All data supply of migration statistics is based on a gentleman’s agreement, as there is no 
community legislation on this topic. 

6.5. Contact person 

The contact person for migration statistics is Mr Berthold Huber , e-mail: 
berthold.huber@cec.eu.int  

For  methodological  questions  about  migration  statistics  the  person  to  contact  is  Mr  David 
Thorogood, e-mail: david.thorogood@cec.eu.int  

6.6. List of tables 

(The digit in the table name gives the NUTS level) 

P2MINT  INTERNAL MIGRATION 

EU-Member States 

p2arr 
p2dep  

Arrivals due to internal migration by sex and age group 
Departures due to internal migration by sex and age group 

Internal migration by sex, region of origin and destination 
p2mig_be 
p2mig_cz 
p2mig_dk 
p2mig_de 
p2mig_ee 
p2mig_es 
p2mig_it 
p2mig_hu 
p2mig_nl 

Belgium 
Czech Republic 
Denmark 
Germany 
Estonia 
Spain 
Italy 
Hungary 
the Netherlands 

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p2mig_at 
p2mig_pl 
p2mig_pt 
p2mig_si 
p2mig_sk 
p2mig_fi 
p2mig_se 
p2mig_uk 

Austria 
Poland 
Portugal 
Slovenia 
Slovakia 
Finland 
Sweden 
United Kingdom 

Candidate countries 

xp2arr 
xp2dep 

Arrivals due to internal migration by sex and age group 
Departures due to internal migration by sex and age group 

Internal migration by sex, region of origin and destination 
xp2mg_ro 

Romania 

P2MEXT  INTERNATIONAL MIGRATION 

EU-Member States 

p2img 
p2emg 

Immigration by sex and age group 
Emigration by sex and age group 

Candidate countries 

xp2img 
xp2emg 

Immigration by sex and age group 
Emigration by sex and age group 

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6.7. Detailed description 

Please  note:  For  EU  Member  States,  the  territorial  units  for  the  dimension 
GEO  are  NUTS-2003.  For  candidate  countries  the  territorial  units  are 
"statistical regions". 

P2MINT  INTERNAL MIGRATION 

Arrivals due to internal migration by sex and age group 
ditto for non EU25 countries 

Age and age classes 
Total 
Males 
Females 
Geopolitical entities (declaring) NUTS-2003/statistical regions at 
level 2 
Member States:  
from 1975 (yearly) 
Candidate Countries:   from 1990 (yearly) 

p2arr 
xp2arr 

Dimensions: 

1. 
2. 

3. 

4. 

AGE 
SEX 

GEO 

TIME 

Units: 

Persons 

Notes: 

Year 1995, 1996:  
Year 1990 to 1995: 

B: Age '85_MAX' includes ages over 60 
DK: Age 'Total' includes ages over 75 

p2dep 
xp2dep 

Dimensions: 

Departures due to internal migration by sex and age group 
ditto for non EU25 countries 

1. 
2. 

3. 

4. 

AGE 
SEX 

GEO 

TIME 

Age and age classes 
Total 
Males 
Females 
Geopolitical entities (declaring) NUTS-2003/statistical regions at 
level 2 
from 1990 (yearly) 

Units: 

Persons 

Notes: 

Year 1990 to 1995: DK Age 'Total' includes ages over 75. 

113 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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p2mig 

xp2mg 

Internal migration by sex, region of origin and destination 

ditto for non EU25 countries 

_be 
_dk 
_de 
_es 
_it 
_nl 
_at 
_pt 
_fi 
_se 
_uk 
_cz 
_ee 
_hu 
_sk 
_si 
_pl 
_ro 

Belgium 
Denmark 
German 
Spain 
Italy 
the Netherlands 
Austria 
Portugal 
Finland 
Sweden 
United Kingdom 
Czech Republic 
Estonia 
Hungary 
Slovakia 
Slovenia 
Poland 
Romania 

Dimensions: 

1. 

2. 

3. 

4. 

PARTNER  Geopolitical entities (partners) NUTS-2003/statistical regions at 

SEX 

GEO 

TIME 

level 2 
Total 
Males 
Females 
Geopolitical entities (declaring) NUTS-2003/statistical regions at 
level 2 
Member States:  
from 1975 (yearly) 
Candidate Countries:   from 1990 (yearly) 

Units: 

Persons 

Notes: 

B:   National total for 1995, 1996 includes non allocated regions. 
DK:   Age Total for period 1990 - 1995 includes ages over 75 
RO:   Age group Y60_64 includes ages over 60 

Age distribution corresponds to non standard age groups Y1_5, Y6_10, …, 
Y86_90, Y91_MAX. 

EE:   Revisions from 2001 Census results have not been provided to regional mi-
gration  figures;  therefore  the  non  revised  figures  are  to  be  considered  as 
unreliable. 

P2MEXT  INTERNATIONAL MIGRATION 

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p2img 
xp2img 

Dimensions: 

1. 

AGE 

Immigration by sex and age group 
ditto for non EU25 countries 

Age and age classes 
TOTAL 
y0_4  
  y5_9  
  y10_14   Between 10 and 14 years  
  etc. 

total 
Less than 5 years  
Between 5 and 9 years  

2. 

3. 

4. 

SEX 

GEO 

TIME 

Total 
Males 
Females 
Geopolitical entities (declaring) NUTS-2003/statistical regions at 
level 2 
from 1990 (yearly) 

Units: 

Persons 

Notes: 

Year 1992, 1993, 1999: PT includes immigration to non allocated regions. 
Age  distribution  corresponds  to  non  standard  age  groups  Y1_5,  Y6_10,  …, 
Y86_90, Y91_MAX. 
EE-Revisions from 2001 Census results have not been provided to regional mi-
gration figures; therefore the non revised figures are to be considered unreliable. 

p2emg 
xp2emg 

Dimensions: 

1. 

AGE 

Emigration by sex and age group 
ditto for non EU25 countries 

Age and age classes 
TOTAL 
y0_4  
  y5_9  
  y10_14   Between 10 and 14 years  
  etc. 

total 
Less than 5 years  
Between 5 and 9 years  

2. 

3. 

4. 

SEX 

GEO 

TIME 

Total 
Males 
Females 
Geopolitical entities (declaring) NUTS-2003/statistical regions at 
level 2 
from 1990 (yearly) 

Units: 

Persons 

Notes: 

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Age  distribution  corresponds  to  non  standard  age  groups  Y1_5,  Y6_10,  …, 
Y86_90, Y91_MAX. 
EE-Revisions from 2001 Census results have not been provided for regional mi-
gration  figures;  Therefore  the  non  revisted  figures  are  to  be  considered  unreli-
able. 

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7.  Science and technology (R&D, patents) 

7.1. General presentation 

Definition of R&D 

Research and Development includes creative work undertaken on a systematic basis in or-
der  to  increase  the  stock  of  knowledge,  including  knowledge  of  man,  culture  and  society, 
and the use of this stock of knowledge to devise new applications (Frascati Manual, § 57). 

R&D expenditure 

R&D expenses are all funds used for the realisation of R&D. They include current expenses 
such  as  employment  costs  or  expenditures  on  materials,  plus  capital  expenditure  on,  for 
example, buildings or equipment. Regional data on R&D, at NUTS Levels 1 and 2, are sup-
plied  by  Member  States,  generally  on  the  base  of  national  surveys.  Some  Member  States 
cannot  supply  a  regional  breakdown  for  all  R&D  expenses.  Some  time  series  can  show  a 
break due to methodological revisions or other reasons. Details can be found in Eurostat's 
publication "R&D - Annual Statistics" or in the Frascati Manual, chapter 6. 

R&D personnel 

R&D personnel includes all persons employed directly on R&D sectors plus any supplying 
direct services to R&D such as manager, administrative staff and office staff. For methodo-
logical notes: see R&D expenditure (chapter 1.2.) or the Frascati Manual, chapter 5. As with 
the expenditure table, data are provided by Member States 

R&D sectors 

The structure of the sectors in the R&D domain differs in one major point from the sectorial 
structure of National Accounts. Due to the special importance of Universities and Technical 
Colleges, the sector "government" of National Accounts is split in two: "government sector" 
and "Higher education sector". The latter includes not only all universities, colleges of tech-
nology and other institutes of post-secondary education (whatever their source of finance or 
legal  status),  but  also  all  research  institutes,  experimental  stations  and  clinics  operating 
under  the  direct  control,  administrated  by  or  associated  with  higher  education  establish-
ments (Frascati Manual, chapter 3). 

Patents 

A patent is a legal title of industrial property granting its owner the exclusive right to exploit 
an  invention  commercially  for  a  limited  area  and  time.  Patent  data  provide  a  measure  of 
R&D output. 

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Regional and Urban Statistics – Reference Guide 2006 

REGIO contains data on patent applications to the European Patent Office (EPO) from the 
regions of the Member States of the European Union at the NUTS Levels 1 and 2. There are 
two parts to the regional patent table, namely patent applications to the EPO by IPC section 
and patent applications to the EPO in the high technology fields. 

Human resources in Science and Technology (HRST) 

According to the Canberra manual, HRST are people who fulfil one or other of the following 
conditions:  
a) 
b)  not  formally  qualified  as  above  but  employed  in  an  S&T  occupation  where  the 

successfully completed education at tertiary level in an S&T field of study  

above qualifications are normally required. 

Employment in High-Technology sectors and Knowledge Intensive services 

Drawn from the Community Labour Force Survey, data in this domain relate to employment 
in high-tech sectors (manufacturing) and most knowledge intensive sectors in the services. 

7.2. Eurostat publications 

Eurostat  R&D - Annual Statistics 

7.3. Data sources 

Data  from  the  Member  States  is  first  sent  to  the  specialist  unit  of  Eurostat  F4.  Regional 
data is then transmitted to the regional section. 

7.4. Legal base 

The data supply is based on a gentleman’s agreement. 

7.5. Contact person 

The  contact  person  for  the  research  and  development  statistics  is  Mr  Filipe  Alves,  e-mail: 

filipe.alves@cec.eu.int  

For methodological questions please contact the specialists in unit F4: 

Mr August Götzfried, e-mail: august.goetzfried@cec.eu.int 

For R&D expenditure and personnel, Ms Simona Frank, e-mail: simona.frank@cec.eu.int 

For HRST, Mr Hakan Wilen, e-mail: hakan.wilen@cec.eu.int 

For patents and EHT, Mr Bernard Felix, e-mail: bernard.felix@cec.eu.int 

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7.6. List of tables 

There are currently 12 tables in this collection. 

Member States 

GERDREG 

PERSREG 

HR_CAS 

HR_SECT 

HR_AGE 

HR_SEX 

Total intramural R&D expenditure (GERD) by sectors of performance 
and region 
Total R&D personnel by sectors of performance (employment) and 
region 
Annual data on HRST and sub-groups of HRST at the regional level 
(NUTS 2) 
Annual data on employed HRST at the regional level, by sector of 
activity (NUTS 1) 
Annual data on HRST and sub-groups of HRST at the regional level by 
age (NUTS 1) 
Annual data on HRST and sub-groups of HRST at the regional level by 
sex (NUTS 1) 

HTEC_EMP_REG  Annual data on employment in technology and knowledge-intensive 

PAT_EP_RTOT 

PAT_EP_RIPC 

PAT_EP_RTEC 

PAT_EP_RICT 

PAT_EP_RBIO 

sectors at the regional level 
Patent applications to the EPO by priority year at the regional level; 
total number, per million inhabitants and per million labour force 
Patent applications to the EPO by priority year at the regional level by 
IPC sections, classes and subclasses; total number, per million 
inhabitants and per million labour force 
High Tech patent applications to the EPO by priority year at the 
regional level; total number, per million inhabitants and per million 
labour force 
ICT patent applications to the EPO by priority year at the regional level; 
total number, per million inhabitants and per million labour force 
Biotechnology patent applications to the EPO by priority year at the 
regional level; total number, per million inhabitants and per million 
labour force 

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7.7. Detailed description 

Please note:   For NON-EU25 Countries, the territorial units for the 

dimension GEO are not NUTS, but "statistical regions" (SRE).  

GERDREG  

Dimensions: 

Total  intramural  R&D  expenditure  (GERD)  by  sectors  of  perform-
ance and region 

1. 

SECTPERF  Sector of performance 

All sectors 
Business enterprise sector 
Government sector 
Higher education sector 
Private non-profit sector 

total 
bes 
gov 
hes 
pnp 

Unit 
mio_eur  

mio_nac 

2. 

UNIT 

Millions of euro (from 1.1.1999)/ECU (up to 
31.12.1998) 
Millions of national currency (including “euro fixed” 
series for euro-zone countries) 
Millions of PPS (Purchasing Power Standard) 

mio_pps 
mio_pps_kp95  Millions of PPS at 1995 prices 

pc_gdp 

Percentage of GDP 

GEO 

Geopolitical entities NUTS 2003: At NUTS Levels 1, 2 

TIME 

From 1980 (yearly) 

3. 

4. 

PERSREG   

Total  R&D  personnel  by  sectors  of  performance  (employment)  and 
region 

Dimensions: 

1. 

OCCUP 

Occupation 
total 
rse 
tec 
oth 

Total R&D personnel 
Researchers 
Technicians / equivalent staff 
Other supporting staff 

2. 

SEX 

Sex 
t 
f  

Total 
Females 

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Regional and Urban Statistics – Reference Guide 2006 

3. 

SECTPERF  Sector of performance 

4. 

UNIT 

total 
bes 
gov 
hes 
pnp 

Unit 
hc 
fte 
pc_act 
pc_emp 

All sectors 
Business enterprise sector 
Government sector 
Higher education sector 
Private non-profit sector 

Head Count 
Full time equivalent 
Percentage of active population 
Percentage of total employment 

5. 

6. 

GEO 

Geopolitical entities NUTS 2003: At NUTS Levels 1, 2 

TIME 

From 1980 (yearly) 

HR_CAS 

Dimensions: 

Annual data on HRST and sub-groups of HRST at the regional level 
(NUTS 2) 

1. 

CATEGORY  Category 

hrst 
hrste 

hrsto 

hrstc 

Unit 
1000 
pc_pop 
pc_act 

Human Resources in Science and Technology  
Human Resources in Science and Technology - Edu-
cation  
Human Resources in Science and Technology -  
Occupation  
Human Resources in Science and Technology - Core  

Thousands 
Percentage of total population 
Percentage of active population 

2.  

UNIT 

3. 

4. 

GEO 

Geopolitical entities NUTS 2003: At NUTS Levels 1, 2 

TIME 

From 1994 (yearly) 

HR_SECT   

Annual data on employed HRST at the regional level, by sector of 
activity (NUTS 1) 

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Dimensions: 

1. 

CATEGORY  Category 

2. 

NACE 

hrst 
hrste 

hrsto 

hrstc 

Human Resources in Science and Technology  
Human Resources in Science and Technology - Edu-
cation  
Human Resources in Science and Technology -  
Occupation  
Human Resources in Science and Technology - Core  

Classification of economic activities – NACE Rev. 1 
total  
All NACE branches - Total 
ma_total  Manufacturing: NACE Rev. 1.1 section D 
ma_high_tec High technology manufacturing: NACE Rev. 1.1 codes 

30, 32 and 33 

ma_mhigh_tec Medium high technology manufacturing: NACE Rev. 

1.1 codes 24, 29, 31, 34 and 35 

ma_h_mh_tot   High and medium high technology manufactu-ring: 
NACE Rev. 1.1 codes 24, 29 to 35 
ma_mlow_tec   Medium low technology: NACE Rev. 1.1 codes 23 

and 25 to 28 

ma_low_tec     Low-technology: NACE Rev. 1.1 codes 15 to 22 and 

36 to 37 

ma_l_ml_tot    Low and medium low technology: NACE Rev. 1.1 

se_total 
se_kis_tot  

se_kis_ht 

se_kis_ms 

codes 15 to 22, 23, 25 to 28 and 36 to 37 

  Services: NACE Rev. 1.1 sections G to Q = 50 to 99 
  Total knowledge-intensive services: NACE Rev. 1.1 
codes 61, 62, 64 to 67, 70 to 74, 80, 85 and 92 
  Knowledge-intensive high-technology services: 

NACE Rev. 1.1 codes 64, 72, 73 

  Knowledge-intensive market services (excluding 
financial intermediation and high-tech services): 
NACE Rev. 1.1 codes 61, 62, 70, 71, 74 

se_kis_fs 

  Knowledge-intensive financial services: NACE Rev. 

1.1 codes 65, 66, 67 

se_kis_ot  

  Other knowledge-intensive services: NACE Rev. 1.1 

codes 80, 85, 92 

se_lkis_tot 

  Total less-knowledge-intensive services: NACE Rev. 
1.1 codes 50, 51, 52, 55, 60, 63, 75, 90, 91, 93, 95 
and 99 

se_lkis_ms 

  Less-knowledge-intensive market services: NACE 

Rev. 1.1 codes 50, 51, 52, 55, 60, 63 

se_lkis_ot 

  Other less-knowledge-intensive services: NACE 

Rev. 1.1 codes 75, 90, 91, 93, 95, 99 

htec_ma_se    Total high and medium high technology manufac-

turing and knowledge-intensive high-technology 

122 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

a_to_c 

d 
e_f 
g_h_p 

services: NACE Rev. 1.1 codes 24, 29 to 35, 64, 72 
and 73 

Agriculture, hunting, forestry, fishing, minig and 
quarrying: NACE Rev.1 codes 01 to 14 
Manufacturing 
Electricity, gas, water supply and construction 
Wholesale and retail trade, hotels and restaurants, 
private households: NACE Rev.1 code 50 to 52, 55 and 
95 

i60_to_i63  Land transport; transport via pipelines; water trans-

port; air transport; supporting and auxiliary transport 
activities; activities of travel agencies 
Financial intermediation, real estate, renting and 
business activities (without computers and R&D): 
NACE Rev.1 codes 65 to 67, 70, 71 and 74 
Public administration, extra-territorial organizations 
and bodies: NACE Rev.1 codes 75 and 99 
Education 
Health and social work 
Other community, social, personal service activities 

frb 

l_q 

m 
n 
o 

3.  

UNIT 

Unit 
1000 
pc_emp_hrst  Employed people – as a % of total employment 

Thousands 

4. 

5. 

GEO 

Geopolitical entities NUTS 2003: At NUTS Level 1 

TIME 

From 1994 (yearly) 

HR_AGE 

Dimensions: 

Annual data on HRST and sub-groups of HRST at the regional level 
by age (NUTS 1) 

1. 

CATEGORY  Category 

2. 

AGE 

hrst 
hrste 

hrsto 

hrstc 

Age 
y25_34 
y35_44 
y25_64 

Human Resources in Science and Technology  
Human Resources in Science and Technology - Edu-
cation  
Human Resources in Science and Technology -  
Occupation  
Human Resources in Science and Technology - Core  

Between 25 and 34 years 
Between 35 and 44 years 
Between 25 and 64 years 

123 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

y45_64 
y0_25_y65_max  Other  (65  years  and  over  as  well  as  less  than  25 

Between 45 and 64 years 

years) 

3.  

UNIT 

Unit 
1000 
pc_pop 
pc_act 

Thousands 
Percentage of total population 
Percentage of active population 

4. 

5. 

GEO 

Geopolitical entities NUTS 2003: At NUTS Level 1 

TIME 

From 1994 (yearly) 

HR_SEX 

Dimensions: 

Annual data on HRST and sub-groups of HRST at the regional level 
by sex (NUTS 1) 

1. 

CATEGORY  Category 

hrst 
hrste 

hrsto 

hrstc 

Sex 
t 
m 
f 

Unit 
1000 
pc_pop 
pc_act 

2. 

SEX 

3.  

UNIT 

Human Resources in Science and Technology  
Human Resources in Science and Technology - Edu-
cation  
Human Resources in Science and Technology -  
Occupation  
Human Resources in Science and Technology - Core  

Total 
Males 
Females 

Thousands 
Percentage of total population 
Percentage of active population 

4. 

5. 

GEO 

Geopolitical entities NUTS 2003: At NUTS Level 1 

TIME 

From 1994 (yearly) 

HTEC_EMP_REG 

Dimensions: 

1. 

NACE 

Annual data on employment in technology and knowledge-intensive 
sectors at the regional level 

Classification of economic activities – NACE Rev. 1 
total  

All NACE branches - Total 

124 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

ma_total 
ma_high_tec   High technology manufacturing: NACE Rev. 1.1 

Manufacturing: NACE Rev. 1.1 section D 

codes 30, 32 and 33 

ma_mhigh_tec  Medium high technology manufacturing: NACE 

Rev. 1.1 codes 24, 29, 31, 34 and 35 
ma_h_mh_tot   High and medium high technology manufactu-ring: 
NACE Rev. 1.1 codes 24, 29 to 35 
ma_mlow_tec   Medium low technology: NACE Rev. 1.1 codes 23 

and 25 to 28 

ma_low_tec     Low-technology: NACE Rev. 1.1 codes 15 to 22 and 

36 to 37 

ma_l_ml_tot    Low and medium low technology: NACE Rev. 1.1 

se_total 
se_kis_tot  

se_kis_ht 

se_kis_ms 

codes 15 to 22, 23, 25 to 28 and 36 to 37 

  Services: NACE Rev. 1.1 sections G to Q = 50 to 99 
  Total knowledge-intensive services: NACE Rev. 1.1 
codes 61, 62, 64 to 67, 70 to 74, 80, 85 and 92 
  Knowledge-intensive high-technology services: 

NACE Rev. 1.1 codes 64, 72, 73 

  Knowledge-intensive market services (excluding 
financial intermediation and high-tech services): 
NACE Rev. 1.1 codes 61, 62, 70, 71, 74 

se_kis_fs 

  Knowledge-intensive financial services: NACE Rev. 

1.1 codes 65, 66, 67 

se_kis_ot  

  Other knowledge-intensive services: NACE Rev. 1.1 

codes 80, 85, 92 

se_lkis_tot 

  Total less-knowledge-intensive services: NACE Rev. 
1.1 codes 50, 51, 52, 55, 60, 63, 75, 90, 91, 93, 95 
and 99 

se_lkis_ms 

  Less-knowledge-intensive market services: NACE 

Rev. 1.1 codes 50, 51, 52, 55, 60, 63 

se_lkis_ot 

  Other less-knowledge-intensive services: NACE 

Rev. 1.1 codes 75, 90, 91, 93, 95, 99 

htec_ma_se    Total high and medium high technology manufac-

a_to_c 

d 
e_f 
g_h_p 

turing and knowledge-intensive high-technology 
services: NACE Rev. 1.1 codes 24, 29 to 35, 64, 72 
and 73 
Agriculture, hunting, forestry, fishing, minig and 
quarrying: NACE Rev.1 codes 01 to 14 
Manufacturing 
Electricity, gas, water supply and construction 
Wholesale and retail trade, hotels and restaurants, 
private households: NACE Rev.1 code 50 to 52, 55 
and 95 

i60_to_i63 

  Land transport; transport via pipelines; water 

transport; air transport; supporting and auxiliary 
transport activities; activities of travel agencies 

125 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

frb 

l_q 

m 
n 
o 

  Financial intermediation, real estate, renting and 
business activities (without computers and R&D): 
NACE Rev.1 codes 65 to 67, 70, 71 and 74 
Public administration, extra-territorial organiza-
tions and bodies: NACE Rev.1 codes 75 and 99 
Education 
Health and social work 
Other community, social, personal service activities 

2. 

UNIT 

Units 
1000 
pc_emp 

Thousands 
Percentage of total employment 

3. 

4. 

GEO 

Geopolitical entities NUTS 2003: At NUTS Level 2 

TIME 

From 1994 (yearly) 

PAT_EP_RTOT 

Patent applications to the EPO by priority year at the regional level; 
total number, per million inhabitants and per million labour force 

Dimensions: 

1. 

UNIT 

Unit 
nb_tot 
mio_act 
mio_pop 

All (no breakdown) 
Per million labour force 
Per million inhabitants 

2. 

3. 

GEO 

Geopolitical   entities NUTS 2003: At NUTS Levels 1, 2 

TIME 

From 1977 (yearly) 

PAT_EP_RIPC 

Dimensions: 

Patent applications to the EPO by priority year at the regional level 
by IPC sections, classes and subclasses; total number, per million 
inhabitants and per million labour force 

1. 

IPC 

International Patent Classification 

Section A - Human necessities 
Agriculture; forestry; animal husbandry; hunting; trapping; fishing 

a 
a01 
a21  Baking; edible doughs 
a22  Butchering; meat treatment; processing poultry or fish 
a23 
a24 
a41  Wearing apparel 

Foods or foodstuffs; their treatment, not covered by other classes 
Tobacco; cigars; cigarettes; smokers' requisites 

126 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

a42  Headwear 
a43 
Footwear 
a44  Haberdashery; jewellery 
a45  Hand or travelling articles 
a46  Brushware 

a47 

Furniture; domestic articles or appliances; coffee mills; spice mills; suction cleaners 
in general 

a61  Medical or veterinary science; hygiene 
a62 
a63 

Life-saving; fire-fighting 
Sports; games; amusements 

Section B - Performing operations; transporting 
Physical or chemical processes or apparatus in general 

b 
b01 
b02  Crushing, pulverising, or disintegrating; preparatory treatment of grain for milling 
Separation of solid materials using liquids or using pneumatic tables or jigs; mag-
netic or electrostatic separation of solid materials from solid materials or fluids; 
separation by high-voltage electric fields 

b03 

b04  Centrifugal apparatus or machines for carrying-out physical or chemical processes 

b05 

Spraying or atomising in general; applying liquids or other fluent materials to sur-
faces, in general 

Separating solids from solids; sorting 

b06  Generating or transmitting mechanical vibrations in general 
b07 
b08  Cleaning 
b09  Disposal of solid waste; reclamation of contaminated soil 
b21  Mechanical metal-working without essentially removing material; punching metal 
b22  Casting; powder metallurgy 
b23  Machine tools; metal-working not otherwise provided for 
b24  Grinding; polishing 

b25 

Hand tools; portable power-driven tools; handles for hand implements; workshop 
equipment; manipulators 

b26  Hand cutting tools; cutting; severing 

b27 

Working or preserving wood or similar material; nailing or stapling machines in gen-
eral 

Presses 

Layered product 
Printing; lining machines; typewriters; stamps 

b28  Working cement, clay, or stone 
b29  Working of plastics; working of substances in a plastic state in general 
b30 
b31  Making paper articles; working paper 
b32 
b41 
b42  Bookbinding; albums; files; special printed matter 
b43  Writing or drawing implements; bureau accessories 
b44  Decorative arts 
b60 
b61 
b62 
b63 
b64 
b65  Conveying; packing; storing; handling thin or filamentary material 

Vehicles in general 
Railways 
Land vehicles for travelling otherwise than on rails 
Ships or other waterborne vessels; related equipment 
Aircraft; aviation; cosmonautics 

127 

 
Regional and Urban Statistics – Reference Guide 2006 

b66  Hoisting; lifting; hauling 
b67  Opening or closing bottles, jars or similar containers; liquid handling 
b68 
Saddlery; upholstery 
b81  Micro-structural technology 
b82  Nano-technology 

Section C - Chemistry; metallurgy 
Inorganic chemistry 
Treatments of water, waste water, sewage, or sludge 

c 
c01 
c02 
c03  Glass; mineral or slag wool 
c04  Cements; concrete; artificial stone; ceramics; refractories 
c05 
c06 
c07  Organic chemistry 

Fertilisers; manufacture thereof 
Explosives; matches 

c08 

c09 

c10 

c11 

c12 

c22 

c23 

Organic macromolecular compounds; their preparation or chemical working-up; 
compositions based thereon 
Dyes; paints; polishes; natural resins; adhesives; miscellaneous compositions; mis-
cellaneous applications of materials 
Petroleum, gas or coke industries; technical gases containing carbon monoxide; fu-
els; lubricants; peat 
Animal or vegetable oils, fats, fatty substances or waxes; fatty acids therefrom; de-
tergents; candles 
Biochemistry; beer; spirits; wine; vinegar; microbiology; enzymology; mutation or 
genetic engineering 
Sugar industry 
Skins; hides; pelts; leather 

c13 
c14 
c21  Metallurgy of iron 

Metallurgy (of iron c21); ferrous or non-ferrous alloys; treatment of alloys or non-
ferrous metals 
Coating metallic material; coating material with metallic material; chemical surface 
treatment; diffusion treatment of metallic material; coating by vacuum evaporation, 
by sputtering, by ion implantation or by chemical vapour deposition, in general; in-
hibiting corrosion of metallic material or incrustation in general 
Electrolytic or electrophoretic processes; apparatus therefor 

c25 
c30  Crystal growth 

Section D - Textiles; paper 

Yarns; mechanical finishing of yarns or ropes; warping or beaming 

d 
d01  Natural or artificial threads or fibres; spinning 
d02 
d03  Weaving 
d04  Braiding; lace-making; knitting; trimmings; non-woven fabrics 
d05 

Sewing; embroidering; tufting 
Treatment of textiles or the like; laundering; flexible materials not otherwise pro-
vided for 

d06 

d07  Ropes; cables other than electric 
d21 

Paper-making; production of cellulose 

Section E - Fixed constructions 

e 
e01  Construction of roads, railways, or bridges 
e02  Hydraulic engineering; foundations; soil-shifting 
e03  Water supply; sewerage 

128 

 
Regional and Urban Statistics – Reference Guide 2006 

e04  Building 
e05 

Locks; keys; window or door fittings; safes 
Doors, windows, shutters, or roller blinds, in general; lad-
ders 
Earth or rock drilling; mining 

e06 

e21 

f 
Section F – Mechanical engineering; lighting; heating; weapons; blasting 
f01  Machines or engines in general; engine plants in general; steam engines 
f02 

f03 

f04 
f15 

f16 

f17 
f21 
f22 
f23 
f24 

f25 

Combustion engines; hot-gas or combustion-product engine plants 
Machines or engines for liquids; wind, spring, weight, or miscellaneous motors; 
producing mechanical power or a reactive propulsive thrust, not otherwise pro-
vided for 
Positive-displacement machines for liquids; pumps for liquids or elastic fluids 
Fluid-pressure actuators; hydraulics or pneumatics in general 
Engineering elements or units; general measures for producing and maintaining 
effective functioning of machines or installations; thermal insulation in general 
Storing or distributing gases or liquids 
Lighting 
Steam generation 
Combustion apparatus; combustion processes 
Heating; ranges; ventilating 
Refrigeration or cooling; combined heating and refrigeration systems; heat pump 
systems; manufacture or storage of ice; liquefaction or solidification of gases 
Drying 
Furnaces; kilns; ovens; retorts 
Heat exchange in general 

f26 
f27 
f28 
f41  Weapons 
f42 

Ammunition; blasting 

Section G – Physics 

g 
g01  Measuring (counting G06M); testing 
g02  Optics 

g03 

Photography; cinematography; analogous techniques using waves other than optical 
waves; electrography; holography 

g04  Horology 
g05  Controlling; regulating 
g06  Computing; calculating; counting 
g07  Checking-devices 
g08 
Signalling 
g09 
Educating; cryptography; display; advertising; seals 
g10  Musical instruments; acoustics 
g11 
g12 
g21  Nuclear physics; nuclear engineering 

Information storage 
Instrument details 

Section H – Electricity 

h 
h01  Basic electric elements 

h02 

Generation, conversion, or distribution of electric 
power 

h03  Basic electronic circuitry 

129 

 
Regional and Urban Statistics – Reference Guide 2006 

h04  Electric communication technique 
h05  Electric techniques not otherwise provided for 

UNK  Unknown 

2. 

UNIT 

Unit 
nb_tot 
mio_act 
mio_pop 

All (no breakdown) 
Per million labour force 
Per million inhabitants 

3. 

4. 

GEO 

Geopolitical   entities NUTS 2003: At NUTS Levels 1, 2 

TIME 

From 1977 (yearly) 

PAT_EP_RTEC 

High Tech patent applications to the EPO by priority year at the 
regional level; total number, per million inhabitants and per million 
labour force 

Dimensions: 

1. 

IPC 

International patent classification 
tot_ht 
cab 
mge 
avi 
cte 
smc 
lsr 

Total high tech 
Computer and automated business equipment 
Micro-organism and genetic engineering 
Aviation 
Communication technology 
Semiconductors 
Laser 

2. 

UNIT 

Unit 
nb_tot 
mio_act 
mio_pop 

All (no breakdown) 
Per million labour force 
Per million inhabitants 

3. 

4. 

GEO 

Geopolitical entities NUTS 2003: At NUTS Levels 1, 2 

TIME 

From 1977 (yearly) 

PAT_EP_RICT 

ICT patent applications to the EPO by priority year at the regional level; 
total number, per million inhabitants and per million labour force 

Dimensions: 

1. 

IPC 

International patent classification 

130 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

coe 
com 
tel 
oth_ict 
tot_ict 

Unit 
nb_tot 
mio_act 
mio_pop 

ICT Consumer electronics 
ICT Computer, office machinery 
ICT Telecommunications 
Other ICT 
Total ICT 

All (no breakdown) 
Per million labour force 
Per million inhabitants 

2. 

UNIT 

3. 

4. 

GEO 

Geopolitical entities NUTS 2003: At NUTS Levels 1, 2 

TIME 

From 1977 (yearly) 

PAT_EP_RBIO 

Biotechnology patent applications to the EPO by priority year at the 
regional level; total number, per million inhabitants and per million 
labour force 

Dimensions: 

1. 

UNIT 

Unit 
nb_tot 
mio_act 
mio_pop 

All (no breakdown) 
Per million labour force 
Per million inhabitants 

2. 

3. 

GEO 

Geopolitical entities NUTS 2003: At NUTS Levels 1, 2 

TIME 

From 1977 (yearly) 

131 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

8.  Structural business statistics 

8.1. General presentation 

The SBS (structural business statistics) describes the activity of businesses in the European 
Union. The regulation applies to all market activities (except agriculture) normally included 
in industry, construction, the distributive trades and services. 

The  statistical  units  used  for  the  compilation  of structural business statistics are listed in 
Section  I  of  the  Annex  to  Council  Regulation  (EEC)  No  696/93  on  the  statistical  units  for 
the observation and analysis of the production system in the European Community.  

Definitions are as follows: 

Enterprise 

The enterprise is the smallest combination of legal units that is an organisational unit pro-
ducing  goods  or  services,  which  benefits  from  a  certain  degree  of  autonomy  in  decision-
making, especially for the allocation of its current resources. An enterprise carries out one 
or more activities at one or more locations. An enterprise may be a sole legal unit. 

Kind-of-activity unit 

The kind-of-activity unit (KAU) groups all the parts of an enterprise contributing to the per-
formance of an activity at class level (four digits) of NACE Rev. 1 and corresponds to one or 
more  operational  subdivisions  of  the  enterprise.  The  enterprise’s  information  system  must 
be capable of indicating or calculating for each KAU at least the value of production, inter-
mediate  consumption,  manpower  costs,  the  operating  surplus  and  employment  and  gross 
fixed capital formation. 

Local unit 

The  local  unit  is  an  enterprise  or  part  thereof  (e.g.  a  workshop,  factory,  warehouse,  office, 
mine or depot) situated in a geographically identified place. At or from this place economic 
activity  is  carried  out  for  which  -  save  for  certain  exceptions  -  one  or  more  persons  work 
(even if only part-time) for one and the same enterprise. 

Credit institute 

Credit  institutions  are  defined  in  the  first  indent  of  Article  1  of  Council  Directive 
77/780/EEC: 'credit institution means an undertaking whose business is to receive depos-
its or other repayable funds from the public and to grant credits for its own account'. 

Data is provided by the National Statistical Institute or the national central bank in each EU 
Member State (for each country there is only one data provider). It is collected on an annual 
basis (t+10 months). 

132 

 
 
Regional and Urban Statistics – Reference Guide 2006 

8.2. Eurostat publications 

Structural business statistics - National methodologies - CD-ROM 

Panorama of European business, 1999 

8.3. Data sources 

The data collection is carried out by the National Statistical Offices, and the aggregated data 
are transmitted to Eurostat, which takes on the work of calculating European totals. 

8.4. Legal base 

All  SBS  data  is  based  on  a  binding  legal  act  of  1996,  the  Council  Regulation  58/97  of 
20/12/96, OJ 14/97 of 17/1/97. 

8.5. Contact person 

The  contact  person  for  the  Structural  business  statistics  is  Mr  Filipe  Alves,  e-mail: 
filipe.alves@cec.eu.int . 

For methodological questions please contact the specialist in unit G1, Ms Petra Sneijers, 
e-mail: petra.sneijers@cec.eu.int . 

8.6. List of tables 

NUTS03 

C_REGION 

Structural business statistics by economic activity - Regional data (ac-
cording to Nuts 2003) 
Statistics  on  credit  institutions  -  Number  of  local  units,  persons  em-
ployed and Wages and salaries by region 

133 

 
 
 
Regional and Urban Statistics – Reference Guide 2006 

8.7. Detailed description 

Structural business statistics by economic activity - Regional data 
(according to Nuts 2003) 

NUTS03 

Dimensions: 

1. 

NACE 

Classification of economic activities – NACE Rev.1.1 
c 
ca 
ca10 
ca11 

Mining and quarrying 
Mining and quarrying of energy producing materials 
Mining of coal and lignite; extraction of peat 
Extraction of crude petrolium and natural gas; service 
activities incidential to oil and gas extraction exclud-
ing surveying 
Mining of uranium and thorium ores 
Mining and quarrying except energy producing mate-
rials 
Mining of metal ores 
Other mining and quarrying 
Manufacturing 
Manufacture of food products; beverages and tobacco 
Manufacture of food products and beverages 
Manufacture of tobacco products 
Manufacture of textiles and textile products 
Manufacture of textiles 
Manufacture of wearing apparel; dressing; dyeing of 
fur 
Manufacture of leather and leather products 
Tanning, dressing of leather; manufacture of luggage 
Manufacture of wood and wood products 
Manufacture of wood and of products of wood and 
cork, except furniture; manufacture of articles of 
straw and plaiting materials 
Manufacture of pulp, paper and paper products; pub-
lishing and printing 
Manufacture of pulp, paper and paper products 
Publishing, printing, reproduction of recorded media 
Manufacture of coke, refined petrolium products and nuclear fuel 
Manufacture of coke, refined petrolium products and nuclear fuel 
Manufacture of chemicals, chemical products and man-made fi-
bres 
Manufacture of chemicals and chemical products 
Manufacture of rubber and plastic products 
Manufacture of rubber and plastic products 
Manufacture of other non-metallic mineral products 
Manufacture of other non-metallic mineral products 
Manufacture of basic metals and fabricated metal products 
Manufacture of basic metals and fabricated metal products 

134 

ca12 
cb 

cb13 
cb14 
d 
da 
da15 
da16 
db 
db17 
db18 

dc 
dc19 
dd 
dd20 

de 

de21 
de22 
df 
df23 
dg 

dg24 
dh 
dh25 
di 
di26 
dj 
dj27 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
dj28 

dk 
dk29 
dl 
dl30 
dl31 
dl32 

dl33 

dm 
dm34 
dm35 
dn 
dn36 
dn37 
e 
e40 
e41 
f 
f45 
g 

g50 
g501 
g502 
g503 
g504 

g505 
g51 

g511 
g512 
g513 
g514 
g515 

g518 
g519 
g52 

g521 
g522 

Regional and Urban Statistics – Reference Guide 2006 

Manufacture of fabricated metal products, except ma-
chinery and equipment 
Manufacture of machinery and equipment n.e.c. 
Manufacture of machinery and equipment n.e.c. 
Manufacture of electrical and optical equipment 
Manufacture of office machinery and computers 
Manufacture of electrical machinery and apparatus n.e.c. 
Manufacture of radio, television and communication 
equipment and apparatus 
Manufacture of medical, precision and optical instru-
ments, watches and clocks 
Manufacture of transport equipment 
Manufacture of motor vehicles, trailers and semi-trailers 
Manufacture of other transport equipment 
Manufacturing n.e.c. 
Manufacture of furniture; manufacturing n.e.c. 
Recycling 
Electricity, gas and water supply 
Electricity, gas, steam and hot water supply 
Collection, purification and distribution of water 
Construction 
construction 
Wholesale and retail trade; repair of motor vehicles, 
motorcycles and personal and household goods 
Sale, maintenance and repair of motor vehicles 
Sale of motor vehicles 
Maintenance and repair of motor vehicles 
Sale of motor vehicle parts and accessories 
Sale, maintenance and repair of motorcycles and re-
lated 
Retail sale of automotive fuel 
Wholesale trade and commission trade, except of mo-
tor and motorcycles 
Wholesale on a fee or contract basis 
Wholesale of agricultural raw materials, live animals 
Wholesale of food, beverages and tobacco 
Wholesale of household goods 
Wholesale of non-agricultural intermediate  
products, waste and scrap 
Wholesale of machinery, equipment and supplies 
Other wholesale 
Retail trade, except of motor vehicles, motorcycles; 
repair of personal and household goods 
Retail sale in non-specialized stores 
Retail sale of food, beverages, tobacco in specialized 
stores 

135 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

g523 

g524 
g525 
g526 
g527 
h 
h55 
i 
i60 
i61 
i62 
i63 

i64 
j65 

j67 
k 
k70 
k71 

k72 
k73 
k74 

Retail sale of pharmaceutical, medical goods,  
cosmetic 
Other retail sale of new goods in specialized stores 
Retail sale of second-hand goods in stores 
Retail sale not in stores 
Repair of personal and household goods 
Hotels and restaurants 
Hotels and restaurants 
Transport, storage and communication 
Land transport; transport via pipelines 
Water transport 
Air transport 
Supporting and auxiliary transport activities;  
activities of travel agencies 
Post and telecommunications 
Financial intermediation, except insurance and pen-
sion funding 
Activities auxiliary to financial intermediation 
Real estate, renting and business activities 
Real estate activities 
Renting of machinery and equipment without  
operator and of personal and household goods 
Computer and related activities 
Research and development 
Other business activities 

2. 

INDIC_SB  Economic indicator for structural business statistics 

Number of local units 
Wages and Salaries 
Gross investment in tangible goods 
Number of persons employed 
Growth rate of employment (%) 
Share of employment in manufacturing total 
Investment per person employed (1000 €) 

v11210 
v13320 
v15110 
v16110 
v91290 
v94310 
v94414 
Geopolitical entities NUTS 2003: at NUTS Level 2 
From 1995 (yearly) 

3. 
4. 

GEO 
TIME 

Note: 

Financial data in SBS are expressed in millions of euro/ECU.  

C_REGION 

  Statistics  on  credit  institutions  -  Number  of  local  units,  persons 

employed and wages and salaries by region  

Dimensions: 

1. 

INDIC_SB  Economic indicator for structural business statistics 

v11210 

Number of local units 

136 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

2. 

NACE 

3. 

4. 

GEO 

TIME 

Wages and salaries 
Number of persons employed 

v13320 
v16110 
Classification of economic activities – NACE Rev.1.1 
All NACE branches - Total 
total 
j6512_652  Total credit institutions 
j6512 
j6522 
Geopolitical entities NUTS 2003: at NUTS Level 2 up to 2000; at 
NUTS Level 1 from 2001 onwards 
From 1997 (yearly) 

Other monetary intermediation 
Other credit granting 

137 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

9.  Health statistics 

9.1. General presentation 

Causes of death 

Data source and quality 

Eurostat's  Causes  of  Death  Statistics  is  the  collection  by  Eurostat  of  statistical  data  on 
causes of death (below referred to as COD data) at sub-national (NUTS 2) level. 

These series contain COD data since 1994 (except for Belgium 1993), disaggregated by sex, 
by 65 causes of death, by country and - for the European Union by region at NUTS Level 2. 

Tables  contain  the  absolute  numbers  and  crude  death  rates  for  data  at  sub-national  level. 
For  data  at  regional  level  only  crude  death  rates  are  given.  Standardised  rates  at  regional 
level will be included in subsequent versions for reasons discussed below. 

The data compiled in this series are obtained from the data provided by the National Statis-
tical Institutes (NSIs) and of designated governmental agencies of the 15 EU Member States. 
The  Eurostat  Task  Force  on  'Causes  of  death  statistics'  (TF/COD)  has  been  particularly 
helpful in the realisation of this data series. 

The quality of the data is subject to the way in which the information on causes of death is 
reported and classified in each country. Procedures for the collection of cause-of-death data 
are  relatively  homogeneous  between  European  countries  (death  certificate  form,  Interna-
tional  Classification  of  Diseases  ...).  In  spite  of  these  common  features,  important  quality 
and comparability issues remain. It should be noted that inter-country differences, in par-
ticular  for  specific  causes  such  as  accidents,  drug  abuse  or  alcohol  related  death  may  be 
caused by certification and/or coding differences. 

Since 1993, EUROSTAT decided to address at Community level a revised procedure for re-
porting on 'causes of death statistics' as well as the problem of comparability of these statis-
tics.  The  proposals  for  future  work  were  endorsed  by  the  Working  Group  (WG)  on  "Public 
Health  Statistics",  which  at  its  meeting  in  February  1996  established  the  Task  Force  on 
'Causes of death statistics' (TF/COD). 

With the a general aim to improve the quality and comparability of cause-of-death data, the 
specific aims of the work of this TF/COD are 

i. 
ii. 

iii. 

to prepare initiative for data quality improvement and reporting of causes of death, 
to  examine  methodological  problems  related  to  specific  causes  of  death  (e.g.  ill-
defined  causes,  violent  death,  deaths  related  to  conditions  such  as  alcohol  or  drug 
abuse) 
to make recommendations to Member States on improvement in quality and compa-
rability. 

An overview of the situation in the European countries on certification and coding practices 
resulted from an inquiry on the registration of causes of death among EU countries, carried 

138 

 
Regional and Urban Statistics – Reference Guide 2006 

out  in  1997  by  SC8-INSERM  (Institut  National  de  la  Santé  et  de  la  Recherche  Médicale  - 
France) with the assistance of the Eurostat TF/COD for Eurostat. More detailed information 
i.e. on causes of death requiring special attention, on the issue of unknown and ill-defined 
causes and on problems linked to legal investigations, confidentiality and rules applied for 
certification of external and unknown causes are being collected. 

Causes of death «EUROPEAN SHORTLIST » 

For  its  demographic  statistics  Eurostat  used  to  work  with  a  short  list  of  11  groupings  of 
causes of death. In 1995 all Member States have been consulted on Eurostat's proposals for 
a revised reporting on 'causes of death statistics' and Member States agreed to co-operate to 
arrive at a more detailed data collection at EU level. 

The  Working  Group  on  'Public  Health  statistics'  gave  mandate  to  the  Task  Force  (TF)  on 
Causes of death statistics to work out together with Eurostat practical points and technical 
aspects. 

All Member States welcomed the use of a short list of 'causes of death' as an important tool 
for international comparisons of mortality data, primarily for analysis at regional level and 
for  the  analysis  of  long-term  results,  such  as  retrospective  studies  and  mortality  projec-
tions. For those Member States where (a) national short list(s) already exist(s), a European 
short list could be used in supplement. 

The  COD  selected  in  the  65-list  have  been  chosen  -  with  the  assistance  of  the  TF/COD  - 
after  careful  examination  of  many  lists  being  used  by  the  Member  States  and  of  interna-
tional summary tabulation lists of WHO. It includes the most relevant COD for EU and the 
basis on which the causes were selected for this list were: 

•  of relevance with respect to EU mortality patterns; 
•  of relevance of national and sub-national health programmes; 
•  of relevance for disaggregation by regional (NUTS 2) level 
•  of special importance to mortality trend and projections; 
• 

subject of 'frequently asked questions'. 

Another important element for arriving at the actual 65-list was that not all MS collect data 
at the same level of detail of the International Classification of Diseases (ICD) (World Health 
Organisation), some at 3-digit, others at 4-digit level, and that MS do not all introduce ICD-
10 at the same year. This will, for a period of 5 to 10 years, hamper seriously the collection 
of comparable COD statistics in Europe. Since existing short lists could not be used for the 
different  ICD  versions,  care  was  taken  for  all  the  65  causes  included  in  the  65-list  being 
compatible with all the versions of ICD; in fact this is a short list for COD that is compatible 
with the Eight, Ninth and Tenth Revisions of ICD. 

Core data 

The first two series give data at sub-national level, by sex, 5-years age groups and by cause 
of death (65 COD list). The first series contains the absolute numbers of deaths. The second 
series gives age-specific death rates per 100 000 population by sex. Standardised rates are 
only given for data at a national level; for data at regional level only crude death rates are 
given. Standardised rates at regional level will be included in subsequent publications. It is 
important to realise that it is the absolute number and the crude death rate that reflects the 

139 

 
Regional and Urban Statistics – Reference Guide 2006 

burden  of  disease  in  a  country;  standardised  rates  indicate  differences  between  countries 
and regions and are used for identifying meaningful trends. 

A third series gives data at national and at regional (NUTS 2) level in crude death rates per 
100.000 of population by sex, by 10-years-age groups and by cause of death (65 COD list). 
For reasons of confidentiality, some 'causes' or some 'age groups' have been compressed. 

Since Eurostat will be making comparisons at the NUTS 2 Level, the number of deaths by 
each cause in the 65-list will be very small, thus leading to a "small numbers" effect. If the 
number of deaths from one cause is for instance '2' in one year while in the next year the 
number increases by another two than the total number of deaths and the death rate from 
that cause has 'doubled' and is therefore unstable from year to year. This makes it neces-
sary to use for the data at regional level at least three year rolling averages to avoid mislead-
ing  fluctuations.  Calculations  for  this  are  ongoing  and  standardised  rates  at  regional  level 
may be included in New Cronos in the future. 

At national level, the number of deaths is not too small and therefore the direct standardi-
sation method (SDR) could be reliably calculated on the basis of one-year data. 

Health personnel 

Physicians 

Different concepts may be used to collect data on the number of physicians at NUTS Level 
2.  Data  at  national  level  are  disaggregated  following  the  criteria  of  doctors  on  activity  or 
those licensed to practise, something very difficult to do at NUTS Level 2. 

(cid:138) 

(cid:138) 

In some countries, data cover physicians in activity (B, DK, D, GR, F, UK). This cate-
gory includes physicians with a medical practice and those without a medical practice 
(in industry, administration, research, ...). 
NB:  The  figures  may  also  cover  only  the  sub-category  with  practising  physicians  (L 
since 1987, IRL). 

'Entitled to practise' is a different concept used in some other countries (E, I, NL, P, 
FIN) to collect data on the number of physicians. Most of the time, it is regarded as 
equivalent to registration in a professional Medical Order. This concept covers certain 
physicians in activity and some who are not in activity. A physician may be entitled to 
practise  but  have  no  medical  practice  (he  could  work  in  industry,  research,  ...)  or 
have no activity (he can be unemployed). 

One country may refer data to different concepts. For example, in Italy, data on the national 
level are based on the physicians entitled to practise, but on the regional level, the concept 
used  is  the  physicians  with  a  medical  practice.  The  figures  may  come  from  different 
sources. E.g. the physicians' medical order may collect data on all the physicians entitled to 
practise, and the N.S.I. or the Ministry of Health may refer its data to physicians in activity, 
or more restrictively to physicians with a medical practice. 

In  order  to  control  the  comparability  of  these  data,  Eurostat  has  tried  to  understand  the 
concepts used by the countries behind the data they send to us for several years. The fol-
lowing table shows that data are not at this time really comparable. More detailed explana-
tory notes for each Member State are enclosed below. 

140 

 
 
Regional and Urban Statistics – Reference Guide 2006 

Summary table: Concepts used for data on the number of physicians 

In activity 

Registered 
practising 
or not 

Entitled 
to prac-
tise 

Remark 

With a medi-
cal practice 

B 

DK 

D 

GR 

E 

F 

IRL 

I 

L 

NL 

A 

P 

FIN 

S 

UK 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

stomatologists included 

new Länder and East Berlin included 

stomatologists included 

Figures refer to all persons with ad-
dresses in the Republic of Ireland who 
have entered and maintained their 
name as fully registered doctors in the 
General Register of Medical Practitio-
ners, regardless of the area in which 
they are engaged or whether or not they 
are practising medicine. Figures prior to 
1992 only include persons aged under 
65 years. From 1992 figures include 
persons of all ages. 
dentists included until 1985 
dentists excluded since 1985 
stomatologists included. Since 1987, 
only phys. with a medical practice. 
problem of quality 

stomatologists included 
not all hospitals. 

stomatologists included 
N.H.S. only 

E 

E 

E 

E 

E 

E 

NB: The terms 'doctor' and 'physician' are used synonymously. 

Dentists 

Different concepts may be used to collect data on the number of dentists at NUTS Level 2. 
Data at national level are disaggregated following the criteria of dentists in activity or those 
licensed to practise, something very difficult to do at NUTS Level 2. 

(cid:138) 

(cid:138) 

In some countries, data cover dentists in activity (D, GR, F, UK, A). This category 
includes dentists with a practice in dentistry and those without a practice (in in-
dustry, administration, research, ...). 
The  figures  may  also  cover  only  the  sub-category  with  practising  dentists  (DK,  L 
since 1987). 

'Entitled  to  practise'  is  a  different  concept  used  in  some  other  countries  (B,  E, 
IRL, NL, P, FIN) to collect data. Most of the time, it is equivalent to registration in a 
professional Order. This concept covers certain dentists in activity and some who 
are  not  in  activity.  A  dentist  may  be  entitled  to  practise  but  have  no  practice  in 

141 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

dentistry  (he  could work in industry, research, ...) or have no activity (he can be 
unemployed). 

In  order  to  control  the  comparability  of  these  data,  Eurostat  has  tried  to  understand  the 
concepts used by the countries behind the data they send to us for several years. The fol-
lowing table shows that data are not at this time really comparable. More detailed explana-
tory notes for each Member State are enclosed below. 

Summary table: Concepts used for data on the number of dentists 

In activity 

Entitled 
to prac-
tise 

Remark 

With a 
practice in 
dentistry 

Without a 
practice 

B 

DK 

D 

GR 

E 

F 

IRL 

I 

L 

NL 

A 

P 

FIN 

S 

UK 

X 

X 

X 

X 

X 

X 

X 

X 

X 

E 

E 

E 

E 

E 

E 

E 

X 

X 

X 

X 

X 

X 

X 

stomatologists not included 

new Länder and East Berlin included  

physicians stomatologists not included 

Figures refer to all persons on the register of 
the Dental Council of Ireland. They may in-
clude some dentists not in activity. 
included in the number of doctors until 1985 

since 1985, "doctor-dentists" included 
since 1987, only dentists with a dental practice 
physicians stomatologists not included 

N.H.S. only, stomatologists not included 

Pharmacists 

In  principle,  the  series  should  contained  the  number  of  pharmacists  in  activity  (self-
employed  or  employed).  Pharmacists  in  activity  include  those  working  in  a  pharmacy  and 
those working in pharmaceutical industry, administration, research, ... Data should exclude 
pharmacists working abroad, but include foreign pharmacists licensed to practise. 

NB:  For  different  countries,  the  figures  received  by  Eurostat  cover  only  the  sub-category 
with pharmacists working in a pharmacy. 

In  some  countries,  data  cover  all  pharmacists  recorded  in  a  professional  Order.  They  are 
entitled to practise this profession. This include certain pharmacists in activity and some 
who are not in activity (e.g. unemployed pharmacists). 

In some countries, data refer only to the number of pharmacies. 

142 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

Summary table: Concepts used for data on the number of pharmacists 

In activity 

Entitled to 
practise 

Remarks 

working in a 
pharmacy 

working in 
industry, re-
search, ... 

B 

DK 

D 

GR 

E 

F 

IRL 

I 

L 

NL 

A 

P 

FIN 

S 

UK 

Nurses 

X 

X 

X 

X 

X 

no 

X 

X 

E 

E 

E 

E 

E 

E 

E 

number of pharmacies 

Include pharmaceutical assistants 

data not yet available 

Other categories included 

Community pharmacists (regional) and 
registered pharmacies (national) 

The research focuses upon all the categories of health professionals that in the EU Members 
States (MS) are called ‘nurse’. The category recognised by the EU as ‘nurses responsible for 
general  care’  (NRGC)  is  especially  targeted.  At  the  same  time,  however,  some  MS  have  in-
cluded other categories of nursing professionals and, more particularly, second level nurses 
and specialist nurses. Midwives have also been included. 

Nurses  responsible  for  general  care  (NRGC)  [called  general  nurses  (EC)]:  Directives 
77/452/EEC, 77/453/EEC and amendments of 10.10.1989 and 30.10.1989. 

The EU has agreed upon a set of acceptable minimum standards for the training of nursing 
professionals in order to make possible freedom of movement for nurses in the MS. It con-
cerns  NRGC  [called  general  nurses  (EC)]  having  completed  a  basic  general  training  of  at 
least  three  years.  The  EU  nursing  Directives  mention  the  following  minimum standards of 
training: 

(cid:138)  a ‘general school education of 10 years’ duration attested by a diploma, certificate or 
other formal qualifications awarded by the competent authorities or bodies in a MS, 
or  a  certificate  resulting  from  a  qualifying  examination  of  an  equivalent  standard  of 
entrance  to  a  ‘nurses  training  school  (EC  Directive  77/453/EEC  and  89/595/EEC 
article 2(B)’, 

and 

143 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

(cid:138)  a ‘full-time training, of a specifically vocational nature, which must cover the subjects 
of  the  programme  set  out  in  the  Annex  to  this  Directive  and  comprise  a  three-year 
course  or  4  600  hours  of  theoretical  and  clinical  instruction  (EC  Directive 
77/453/EEC and 89/595/EEC, article 2(B)’. 

Figures before 1977 of ‘general nurses (EC)’ will be considered as figures of nurses equiva-
lent to categories of ‘general nurses (EC)’ from 1977. If, however, the EC Nursing Directives 
have  caused  major  changes  in  educational  programmes  and  consequently  figures  before 
and after 1977 cannot be compared, then these changes and the degree to which they affect 
the comparability of the figures will be mentioned in the comparative tables. 

Summary table: Concepts used for data on the number of nurses and midwives 

General 
Nurses 
(EC) 
x 

Spe-
cialist 
nurses 
x 

Second 
level 
nurses 
x 

Mid-
wives 

Caring 
person-
nel 

x 

x 

x 

x 

x 

x 

x 

x 

x 

x 

x 

B 

DK 

D 

GR 

E 

F 

IRL 

I 

L 

NL 

P 

UK 

A 

x 

x 

x 

x 

x 

x 

x 

x 

x 

x 

x 

x 

x 

x 

x 

x 

x 

x 

x 

x 

x 

x 

x 

x 

Remarks 

The specialist nurses includes 
residential services and midwives. 

Midwives not available separately. 
Many tasks which in other MS are 
performed by second level nurses 
are the responsibility of caring 
personnel 
The specialised nurses include 
only paediatric nurses in general, 
acute and psychiatric hospitals. 
For the outpatient services, spe-
cialised nurses includes also 
nurses for elderly care and family 
rural care takers. 
There are no distinction between 
general and specialist nurses. 

There are no distinction between 
general and specialist nurses. 
Caring personnel includes second 
level nurses. 
Specialist nurses includes only 
psychiatric nurses.  

"General nurses" includes special-
ist nurses and midwives. Figures 
refer to all persons on the register 
of the Nursing Board (An Bord 
Altranais). Some nurses on the 
register may be inactive. 
Data includes only general nurses 
and midwives. 

x 

There are no distinction between 
general and specialist nurses. 

Specialist nurses refers to psychi-
atric nurses and nurses for the 
mentally handicapped. Second 
level nurses refers to nurses in old 
age homes and home care 
All the groups included in general 
nurses 

Distinction between general and 
second level nurses only in the 
private nursing homes (not in the 
public hospitals). 

144 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

FIN 

S 

Health infrastructure (hospital beds) 

Also for hospital beds, definitions and coverage vary widely between countries. This reduces 
comparability to a large extent. 

Summary table: Concepts used for data on the number of hospital beds 

Accounting 

Field covered by statistics 

budgetary 
beds 

Number of beds which, according to the budget, are to 
be available in approved wards. 

Number of beds in somatic hospitals included on the 
psychiatric bed hospitals. 

annual av-
erage 

Bed-counts include only beds used for full in-patient 
accommodation. not include care or rehabilitation cen-
tres, 

Public 
and 
Private 

Nursing 
homes and 
day care 
included 

B 

yes 

yes 

DK 

D 

GR 

E 

yes 

yes 

yes (except 
military 
hospitals) 
yes 

yes 

no 

yes 

partially 

Beds in use 
to 31 De-
cember 

F 

yes 

yes 

IRL 

only public 

I 

L 

yes (except 
military 
hospitals) 
yes 

no 

no 

yes 

NL 

yes 

no 

Beds in use 
to 31 De-
cember 

publicly 
funded 

annual av-
erage 

registered in 
the national 
hospital plan 

The number of beds covers the total of hospital beds in 
all health institutions in the country, which are ready to 
receive patients. Military hospital beds are excluded. 

Beds intended for ongoing care of patients admitted, 
included incubators for new born. Also includes beds for 
specialised care (intensive, coronary, burns...). Excludes 
observation of emergency beds, observation services, 
beds in hospitals available for day care, ambulatory 
hemodialysis, those used for special exploratory exami-
nations, those intended for the personnel of the health 
establishment and beds for new-born babies. 
Full hospitalisation (activities of departments and wards 
which admit and care for the ill, the injured and preg-
nant women and which feature hospital beds and medi-
cal and paramedical staff who provide diagnosis, care 
and monitoring. Private hospitals.) 
Figures refer to in-patient beds in publicly funded acute 
(voluntary and health board) district and psychiatric 
hospitals Beds in private hospitals and nursing homes 
are not included 
The number of beds is given at annual level and in-
cludes beds for full in-patient accommodation. Military 
hospital beds are excluded. Day hospital beds are ex-
cluded. Nursing care beds are excluded. 
Bed for in-patient care in all hospital registered in the 
national hospital plan. Short-medium-long stay. 
Beds in psychiatric hospital and nursing homes for eld-
erly people are included. 
The figures on 'total hospital beds' refer to all beds (ex-
cept cots for healthy infants and beds for day nursing) in 
general, university and specialised hospitals and mental 
hospitals. Not included are beds in hospitals available 
for nursing day care, medical children's home, nurseries 
for toddlers under medical supervision, institutions for 
the sensorially handicapped, institutions for the men-
tally weak (mentally handicapped) and nursing homes 

145 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

P 

yes 

no 

Beds in use 
to 31 De-
cember 

annual 
average 
(from 1 April 
to 31 March) 
Number of 
beds that 
have the bed 
status follow-
ing the hos-
pital Law.  

UK 

only public 

yes 

A 

yes 

yes 

SF 

yes 

yes 

S 

Only public 

no 

The data made available were subject to the in-patient 
bed allocation criterion used (all hospitals, including 
psychiatric hospitals and health care centres). This cri-
terion is defined as follows: the number of beds or new-
born infant or child cots allocated to the inventory of a 
health centre with inpatient facilities at the time of data 
collection [31 December] (this is a statistical concept in 
the national statistical system). The number of beds 
does not include emergency services, post-operation 
recovery units, intensive care, dialysis or day-patient 
beds. The data only refer to general in-patient beds in 
hospitals and in the in-patient services of health care 
centres (allocation in effect). 
NHS in-patient care only, and all in-patient care facili-
ties and daycases in inpatient facility beds (see enclosed 
list of terms and definitions). 

The beds in all hospitals meeting the registration criteria 
set out in the Krankenanstaltengesetz (Hospital Act).  

Number of the available beds in in-patient institutions. 
Institutions: university hospitals, central hospitals, 
other general hospitals, health centre hospitals, psychi-
atric hospitals and psychiatric departments of all in-
patient institutions, private hospitals, state hospitals 
(army, prisons, etc.) 
Statistics comprise only the State and County council 
sector, thus exclude the private sector. From 1992, 
there is a substantial break in the statistics due to a 
reform transferring the responsibility for care for the 
elderly from the county councils to the municipalities. 
Unfortunately, no data from the municipalities are 
available. That means that those elderly persons who 
need care but not hospital health care are excluded from 
the statistics (from 1992 onwards). And it is now practi-
cally impossible to recalculate older data to remove 
'nursing homes' for the elderly. 

Details can be obtained from Mr Dupré, e-mail: didier.dupre@cec.eu.int  

9.2. Eurostat publications 

'Key Data on Health 2000' Eurostat. ISBN 92-894-0510-4 

'Health Pocketbook 2001' Eurostat (July 2001) 

9.3. Data sources 

Described previosly. 

9.4. Legal base 

All data supply for regional health statistics is based on a gentleman’s agreement. 

146 

 
 
 
Regional and Urban Statistics – Reference Guide 2006 

9.5. Contact person 

The contact person for health statistics is Mr Filipe Alves, e-mail: filipe.alves@cec.eu.int . 

The specialist in unit F5 for methodological questions on health statistics is Ms Marleen de 
Smedt, e-mail: marleen.desmedt@cec.eu.int . 

9.6.  List of tables 

Causes of death 

HLTH_CD_ACDR  Causes of death by region - Crude death rate (per 100,000 inhabitants) 
HLTH_CD_YNRT  Causes of death by region- Absolute Number (3 years average) - Total 
HLTH_CD_YNRM  Causes of death by region- Absolute Number (3 years average) - Males 
HLTH_CD_YNRF  Causes of death by region- Absolute Number (3 years average) - 

Females 

HLTH_CD_YCDRT  Causes of death by region - Crude death rate (per 100,000 inhabitants - 

3 years average) - Total 

HLTH_CD_YCDRM  Causes of death by region - Crude death rate (per 100,000 inhabitants - 

3 years average) - Males 

HLTH_CD_YCDRF  Causes of death by region - Crude death rate (per 100,000 inhabitants - 

3 years average) - Females 

HLTH_CD_YSDR1  Causes of death by region - Standardised death rate (per 100,000 

inhabitants - 3 years average) 

Health care/status 

H2PERS 
H2BEDS 
H2INFDIS 

XH2PERS 

XH2BEDS 

Health personnel - Absolute numbers and rate per 100.000 inhabitants 
Hospital beds - Absolute numbers and rate per 100.000 inhabitants 
Infectious diseases - Reported cases and incidence rates per 100.000 
inhabitants 

Health personnel - Absolute numbers and rate per 100.000 inhabitants 
- candidate countries 
Hospital beds - Absolute numbers and rate per 100.000 inhabitants - 
candidate countries 

147 

 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

9.7.  Detailed description 

HLTH_CD_ACDR  Causes of death by region - Crude death rate (per 100,000 inhabitants) 

Dimensions: 

1. SEX 

T 
M 
F 

Total 
Males 
Females 

2. AGE 

Age class 

tot 

y0_4 

Total 

Less than 5 years 

y5_9 

Between 5 and 9 years 

y0_14 

Less than 15 years 

y15_19 

Between 15 and 19 years 

y20_24 

Between 20 and 24 years 

y25_29 

Between 25 and 29 years 

y30_34 

Between 30 and 34 years 

y35_39 

Between 35 and 39 years 

y40_44 

Between 40 and 44 years 

y45_49 

Between 45 and 49 years 

y50_54 

Between 50 and 54 years 

y55_59 

Between 55 and 59 years 

y0_64 

Less than 65 years 

y60_64 

Between 60 and 64 years 

y65_69 

Between 65 and 69 years 

y70_74 

Between 70 and 74 years 

y75_79 

Between 75 and 79 years 

y80_84 

Between 80 and 84 years 

y85_max  85 years and over 

148 

 
 
 
 
 
 
 
 
 
 
3. ICD 

Regional and Urban Statistics – Reference Guide 2006 

International statistical classification of diseases and related health problems 
(WHO) 
total 
01 
02 
03 
04 
05 
06 
07 
08 
09 
10 
11 
12 
13 
14 
15 

All causes of death (A00-Y89) 
Infectious and parasitic diseases (A00-B99) 
Tuberculosis (A15-A19,B90) 
Meningococcal infection (A39) 
AIDS (HIV-disease) (B20-B24) 
Viral hepatitis (B15-B19) 
Neoplasms (C00-D48) 
Malignant neoplasms (C00-C97) 
Malignant neoplasm of lip, oral cavity, pharynx (C00-C14) 
Malignant neoplasm of oesophagus (C15) 
Malignant neoplasm of stomach (C16) 
Malignant neoplasm of colon (C18) 
Malignant neoplasm of rectum and anus (C19-C21) 
Malignant neoplasm liver and the intrahepatic bile ducts (C22) 
Malignant neoplasm of pancreas (C25) 
Malignant neoplasm of larynx and trachea/bronchus/lung  
(C32-C34) 
Malignant melanoma of skin (C43) 
Malignant neoplasm of breast (C50) 
Malignant neoplasm of cervix uteri (C53) 
Malignant neoplasm of other parts of uterus (C54-C55) 
Malignant neoplasm of ovary (C56) 
Malignant neoplasm of prostate (C61) 
Malignant neoplasm of kidney (C64) 
Malignant neoplasm of bladder (C67) 
Malignant neoplasm of lymphatic/haematopoietic tissue  
(C81-C96) 
Diseases of the blood(-forming organs), immunological disorders 
(D50-D89) 
Endocrine, nutritional and metabolic diseases (E00-E90) 
Diabetes mellitus (E10-E14) 
Mental and behavioural disorders (F00-F99) 
Alcoholic abuse (including alcoholic psychosis) (F10) 
Drug dependence, toxicomania (F11-F16,F18-F19) 
Diseases of the nervous system and the sense organs (G00-H95) 
Meningitis (other than 03) (G00-G03) 
Diseases of the circulatory system (I00-I99) 
Ischaemic heart diseases (I20-I25) 
Other heart diseases (I30-I33,I39-I52) 
Cerebrovascular diseases (I60-I69) 
Diseases of the respiratory system (J00-J99) 
Influenza (J10-J11) 
Pneumonia (J12-J18) 
Chronic lower respiratory diseases (J40-J47) 

16 
17 
18 
19 
20 
21 
22 
23 
24 

25 

26 
27 
28 
29 
30 
31 
32 
33 
34 
35 
36 
37 
38 
39 
40 

149 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
41 
42 
43 
44 
45 
46 

47 
48 
49 
50 

51 
52 

53 
54 
55 

56 
57 
58 
59 
60 
61 
62 
63 
64 
65 

Regional and Urban Statistics – Reference Guide 2006 

Asthma (J45-J46) 
Diseases of the digestive system (K00-K93) 
Ulcer of stomach, duodenum and jejunum (K25-K28) 
Chronic liver disease (K70, K73-K74) 
Diseases of the skin and subcutaneous tissue (L00-L99) 
Diseases of the musculoskeletal system/connective tissue  
(M00-M99) 
Rheumatoid arthritis and osteoarthrosis (M05-M06, M15-M19) 
Diseases of the genitourinary system (N00-N99) 
Diseases of kidney and ureter (N00-N29) 
Complications of pregnancy, childbirth and puerperium  
(O00-O99) 
Certain conditions originating in the perinatal period (P00-P96) 
Congenital malformations and chromosomal abnormalities  
(Q00-Q99) 
Congenital malformations of the nervous system (Q00-Q07) 
Congenital malformations of the circulatory system (Q20-Q28) 
Symptoms, signs, abnormal findings, ill-defined causes  
(R00-R99) 
Sudden infant death syndrome (R95) 
Unknown and unspecified causes (R96-R99) 
External causes of injury and poisoning (V01-Y89) 
Accidents (V01-X59) 
Transport accidents (V01-V99) 
Accidental falls (W00-W19) 
Accidental poisoning (X40-X49) 
Suicide and intentional self-harm (X60-X84) 
Homicide, assault (X85-Y09) 
Events of undetermined intent (Y10-Y34) 
Geopolitical entities NUTS 2003: at NUTS Level 2 
From 1994 (yearly) 

4. GEO 
5. TIME 

Units: 

crude death rates (weighted average of the age specific mortality rates) 

150 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

HLTH_CD_YNRT  Causes of death by region- Absolute Number (3 years average) - Total 
HLTH_CD_YNRM  Causes of death by region- Absolute Number (3 years average) - Males 
HLTH_CD_YNRF  Causes of death by region- Absolute Number (3 years average) - 

Females 

Dimensions: 

1. AGE 

Age class 

tot 

y0 

y1_4 

y5_9 

Total 

Less than 1 year 

Between 1 and 4 years 

Between 5 and 9 years 

y0_14 

Less than 15 years 

y10_14 

Between 10 and 14 years 

y15_19 

Between 15 and 19 years 

y15_24 

Between 15 and 24 years 

y20_24 

Between 20 and 24 years 

y25_29 

Between 25 and 29 years 

y30_34 

Between 30 and 34 years 

y35_39 

Between 35 and 39 years 

y40_44 

Between 40 and 44 years 

y45_49 

Between 45 and 49 years 

y50_54 

Between 50 and 54 years 

y55_59 

Between 55 and 59 years 

y60_64 

Between 60 and 64 years 

y65_69 

Between 65 and 69 years 

y70_74 

Between 70 and 74 years 

y75_79 

Between 75 and 79 years 

y80_84 

Between 80 and 84 years 

y85_max  85 years and over 

2. ICD 

International statistical classification of diseases and related health problems 
(WHO) 
total 
01 

All causes of death (A00-Y89) 
Infectious and parasitic diseases (A00-B99) 

151 

 
 
 
 
 
 
02 
03 
04 
05 
06 
07 
08 
09 
10 
11 
12 
13 
14 
15 

16 
17 
18 
19 
20 
21 
22 
23 
24 

25 

26 
27 
28 
29 
30 
31 
32 
33 
34 
35 
36 
37 
38 
39 
40 
41 
42 
43 
44 

Regional and Urban Statistics – Reference Guide 2006 

Tuberculosis (A15-A19,B90) 
Meningococcal infection (A39) 
AIDS (HIV-disease) (B20-B24) 
Viral hepatitis (B15-B19) 
Neoplasms (C00-D48) 
Malignant neoplasms (C00-C97) 
Malignant neoplasm of lip, oral cavity, pharynx (C00-C14) 
Malignant neoplasm of oesophagus (C15) 
Malignant neoplasm of stomach (C16) 
Malignant neoplasm of colon (C18) 
Malignant neoplasm of rectum and anus (C19-C21) 
Malignant neoplasm liver and the intrahepatic bile ducts (C22) 
Malignant neoplasm of pancreas (C25) 
Malignant neoplasm of larynx and trachea/bronchus/lung  
(C32-C34) 
Malignant melanoma of skin (C43) 
Malignant neoplasm of breast (C50) 
Malignant neoplasm of cervix uteri (C53) 
Malignant neoplasm of other parts of uterus (C54-C55) 
Malignant neoplasm of ovary (C56) 
Malignant neoplasm of prostate (C61) 
Malignant neoplasm of kidney (C64) 
Malignant neoplasm of bladder (C67) 
Malignant neoplasm of lymphatic/haematopoietic tissue  
(C81-C96) 
Diseases of the blood(-forming organs), immunological disorders 
(D50-D89) 
Endocrine, nutritional and metabolic diseases (E00-E90) 
Diabetes mellitus (E10-E14) 
Mental and behavioural disorders (F00-F99) 
Alcoholic abuse (including alcoholic psychosis) (F10) 
Drug dependence, toxicomania (F11-F16,F18-F19) 
Diseases of the nervous system and the sense organs (G00-H95) 
Meningitis (other than 03) (G00-G03) 
Diseases of the circulatory system (I00-I99) 
Ischaemic heart diseases (I20-I25) 
Other heart diseases (I30-I33,I39-I52) 
Cerebrovascular diseases (I60-I69) 
Diseases of the respiratory system (J00-J99) 
Influenza (J10-J11) 
Pneumonia (J12-J18) 
Chronic lower respiratory diseases (J40-J47) 
Asthma (J45-J46) 
Diseases of the digestive system (K00-K93) 
Ulcer of stomach, duodenum and jejunum (K25-K28) 
Chronic liver disease (K70, K73-K74) 

152 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
45 
46 

47 
48 
49 
50 

51 
52 

53 
54 
55 

56 
57 
58 
59 
60 
61 
62 
63 
64 
65 

Regional and Urban Statistics – Reference Guide 2006 

Diseases of the skin and subcutaneous tissue (L00-L99) 
Diseases of the musculoskeletal system/connective tissue  
(M00-M99) 
Rheumatoid arthritis and osteoarthrosis (M05-M06, M15-M19) 
Diseases of the genitourinary system (N00-N99) 
Diseases of kidney and ureter (N00-N29) 
Complications of pregnancy, childbirth and puerperium  
(O00-O99) 
Certain conditions originating in the perinatal period (P00-P96) 
Congenital malformations and chromosomal abnormalities  
(Q00-Q99) 
Congenital malformations of the nervous system (Q00-Q07) 
Congenital malformations of the circulatory system (Q20-Q28) 
Symptoms, signs, abnormal findings, ill-defined causes  
(R00-R99) 
Sudden infant death syndrome (R95) 
Unknown and unspecified causes (R96-R99) 
External causes of injury and poisoning (V01-Y89) 
Accidents (V01-X59) 
Transport accidents (V01-V99) 
Accidental falls (W00-W19) 
Accidental poisoning (X40-X49) 
Suicide and intentional self-harm (X60-X84) 
Homicide, assault (X85-Y09) 
Events of undetermined intent (Y10-Y34) 
Geopolitical entities NUTS 2003: at NUTS Level 2 
From 1994-1996 (3 years average) 

3. GEO 
4. TIME 

HLTH_CD_YCDRT  Causes of death by region - Crude death rate (per 100,000 inhabitants - 

3 years average) - Total 

HLTH_CD_YCDRM  Causes of death by region - Crude death rate (per 100,000 inhabitants - 

3 years average) - Males 

HLTH_CD_YCDRF  Causes of death by region - Crude death rate (per 100,000 inhabitants - 

3 years average) - Females 

Dimensions: 

1. AGE 

Age class 

tot 

Total 

y0_4 

Less than 5 years 

y5_9 

Between 5 and 9 years 

y0_14 

Less than 15 years 

y10_14 

Between 10 and 14 years 

y15_19 

Between 15 and 19 years 

153 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

y15_24 

Between 15 and 24 years 

y20_24 

Between 20 and 24 years 

y25_29 

Between 25 and 29 years 

y30_34 

Between 30 and 34 years 

y35_39 

Between 35 and 39 years 

y40_44 

Between 40 and 44 years 

y45_49 

Between 45 and 49 years 

y50_54 

Between 50 and 54 years 

y55_59 

Between 55 and 59 years 

y0_64 

Less than 65 years 

y60_64 

Between 60 and 64 years 

y65_69 

Between 65 and 69 years 

y70_74 

Between 70 and 74 years 

y75_79 

Between 75 and 79 years 

y80_84 

Between 80 and 84 years 

y85_ma
x 

85 years and over 

2. ICD 

International statistical classification of diseases and related health problems 
(WHO) 
total 
01 
02 
03 
04 
05 
06 
07 
08 
09 
10 
11 
12 
13 
14 
15 

All causes of death (A00-Y89) 
Infectious and parasitic diseases (A00-B99) 
Tuberculosis (A15-A19,B90) 
Meningococcal infection (A39) 
AIDS (HIV-disease) (B20-B24) 
Viral hepatitis (B15-B19) 
Neoplasms (C00-D48) 
Malignant neoplasms (C00-C97) 
Malignant neoplasm of lip, oral cavity, pharynx (C00-C14) 
Malignant neoplasm of oesophagus (C15) 
Malignant neoplasm of stomach (C16) 
Malignant neoplasm of colon (C18) 
Malignant neoplasm of rectum and anus (C19-C21) 
Malignant neoplasm liver and the intrahepatic bile ducts (C22) 
Malignant neoplasm of pancreas (C25) 
Malignant neoplasm of larynx and trachea/bronchus/lung  
(C32-C34) 
Malignant melanoma of skin (C43) 
Malignant neoplasm of breast (C50) 

16 
17 

154 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
18 
19 
20 
21 
22 
23 
24 

25 

26 
27 
28 
29 
30 
31 
32 
33 
34 
35 
36 
37 
38 
39 
40 
41 
42 
43 
44 
45 
46 

47 
48 
49 
50 

51 
52 

53 
54 
55 

56 
57 

Regional and Urban Statistics – Reference Guide 2006 

Malignant neoplasm of cervix uteri (C53) 
Malignant neoplasm of other parts of uterus (C54-C55) 
Malignant neoplasm of ovary (C56) 
Malignant neoplasm of prostate (C61) 
Malignant neoplasm of kidney (C64) 
Malignant neoplasm of bladder (C67) 
Malignant neoplasm of lymphatic/haematopoietic tissue  
(C81-C96) 
Diseases of the blood(-forming organs), immunological disorders 
(D50-D89) 
Endocrine, nutritional and metabolic diseases (E00-E90) 
Diabetes mellitus (E10-E14) 
Mental and behavioural disorders (F00-F99) 
Alcoholic abuse (including alcoholic psychosis) (F10) 
Drug dependence, toxicomania (F11-F16,F18-F19) 
Diseases of the nervous system and the sense organs (G00-H95) 
Meningitis (other than 03) (G00-G03) 
Diseases of the circulatory system (I00-I99) 
Ischaemic heart diseases (I20-I25) 
Other heart diseases (I30-I33,I39-I52) 
Cerebrovascular diseases (I60-I69) 
Diseases of the respiratory system (J00-J99) 
Influenza (J10-J11) 
Pneumonia (J12-J18) 
Chronic lower respiratory diseases (J40-J47) 
Asthma (J45-J46) 
Diseases of the digestive system (K00-K93) 
Ulcer of stomach, duodenum and jejunum (K25-K28) 
Chronic liver disease (K70, K73-K74) 
Diseases of the skin and subcutaneous tissue (L00-L99) 
Diseases of the musculoskeletal system/connective tissue  
(M00-M99) 
Rheumatoid arthritis and osteoarthrosis (M05-M06, M15-M19) 
Diseases of the genitourinary system (N00-N99) 
Diseases of kidney and ureter (N00-N29) 
Complications of pregnancy, childbirth and puerperium  
(O00-O99) 
Certain conditions originating in the perinatal period (P00-P96) 
Congenital malformations and chromosomal abnormalities  
(Q00-Q99) 
Congenital malformations of the nervous system (Q00-Q07) 
Congenital malformations of the circulatory system (Q20-Q28) 
Symptoms, signs, abnormal findings, ill-defined causes  
(R00-R99) 
Sudden infant death syndrome (R95) 
Unknown and unspecified causes (R96-R99) 

155 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

58 
59 
60 
61 
62 
63 
64 
65 

External causes of injury and poisoning (V01-Y89) 
Accidents (V01-X59) 
Transport accidents (V01-V99) 
Accidental falls (W00-W19) 
Accidental poisoning (X40-X49) 
Suicide and intentional self-harm (X60-X84) 
Homicide, assault (X85-Y09) 
Events of undetermined intent (Y10-Y34) 
Geopolitical entities NUTS 2003: at NUTS Level 2 
From 1994-1996 (3 years average) 

3. GEO 
4. TIME 

HLTH_CD_YSDR1  Causes of death by region - Standardised death rate (per 100,000 

inhabitants - 3 years average) 

Dimensions: 

1. SEX 

T 
M 
F 

Total 
Males 
Females 

2. AGE 

Age class 

tot 

Total 

Y0_64 

Less than 65 years 

3. ICD 

International statistical classification of diseases and related health problems 
(WHO) 
total 
01 
02 
03 
04 
05 
06 
07 
08 
09 
10 
11 
12 
13 
14 
15 

All causes of death (A00-Y89) 
Infectious and parasitic diseases (A00-B99) 
Tuberculosis (A15-A19,B90) 
Meningococcal infection (A39) 
AIDS (HIV-disease) (B20-B24) 
Viral hepatitis (B15-B19) 
Neoplasms (C00-D48) 
Malignant neoplasms (C00-C97) 
Malignant neoplasm of lip, oral cavity, pharynx (C00-C14) 
Malignant neoplasm of oesophagus (C15) 
Malignant neoplasm of stomach (C16) 
Malignant neoplasm of colon (C18) 
Malignant neoplasm of rectum and anus (C19-C21) 
Malignant neoplasm liver and the intrahepatic bile ducts (C22) 
Malignant neoplasm of pancreas (C25) 
Malignant neoplasm of larynx and trachea/bronchus/lung  
(C32-C34) 
Malignant melanoma of skin (C43) 
Malignant neoplasm of breast (C50) 

16 
17 

156 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
18 
19 
20 
21 
22 
23 
24 

25 

26 
27 
28 
29 
30 
31 
32 
33 
34 
35 
36 
37 
38 
39 
40 
41 
42 
43 
44 
45 
46 

47 
48 
49 
50 

51 
52 

53 
54 
55 

56 
57 

Regional and Urban Statistics – Reference Guide 2006 

Malignant neoplasm of cervix uteri (C53) 
Malignant neoplasm of other parts of uterus (C54-C55) 
Malignant neoplasm of ovary (C56) 
Malignant neoplasm of prostate (C61) 
Malignant neoplasm of kidney (C64) 
Malignant neoplasm of bladder (C67) 
Malignant neoplasm of lymphatic/haematopoietic tissue  
(C81-C96) 
Diseases of the blood(-forming organs), immunological disorders 
(D50-D89) 
Endocrine, nutritional and metabolic diseases (E00-E90) 
Diabetes mellitus (E10-E14) 
Mental and behavioural disorders (F00-F99) 
Alcoholic abuse (including alcoholic psychosis) (F10) 
Drug dependence, toxicomania (F11-F16,F18-F19) 
Diseases of the nervous system and the sense organs (G00-H95) 
Meningitis (other than 03) (G00-G03) 
Diseases of the circulatory system (I00-I99) 
Ischaemic heart diseases (I20-I25) 
Other heart diseases (I30-I33,I39-I52) 
Cerebrovascular diseases (I60-I69) 
Diseases of the respiratory system (J00-J99) 
Influenza (J10-J11) 
Pneumonia (J12-J18) 
Chronic lower respiratory diseases (J40-J47) 
Asthma (J45-J46) 
Diseases of the digestive system (K00-K93) 
Ulcer of stomach, duodenum and jejunum (K25-K28) 
Chronic liver disease (K70, K73-K74) 
Diseases of the skin and subcutaneous tissue (L00-L99) 
Diseases of the musculoskeletal system/connective tissue  
(M00-M99) 
Rheumatoid arthritis and osteoarthrosis (M05-M06, M15-M19) 
Diseases of the genitourinary system (N00-N99) 
Diseases of kidney and ureter (N00-N29) 
Complications of pregnancy, childbirth and puerperium  
(O00-O99) 
Certain conditions originating in the perinatal period (P00-P96) 
Congenital malformations and chromosomal abnormalities  
(Q00-Q99) 
Congenital malformations of the nervous system (Q00-Q07) 
Congenital malformations of the circulatory system (Q20-Q28) 
Symptoms, signs, abnormal findings, ill-defined causes  
(R00-R99) 
Sudden infant death syndrome (R95) 
Unknown and unspecified causes (R96-R99) 

157 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
58 
59 
60 
61 
62 
63 
64 
65 

4. GEO 
5. TIME 

H2PERS 

Dimensions: 

1. 

UNIT 

2. 

STAFF 

3. 
4. 

GEO 
TIME 

Regional and Urban Statistics – Reference Guide 2006 

External causes of injury and poisoning (V01-Y89) 
Accidents (V01-X59) 
Transport accidents (V01-V99) 
Accidental falls (W00-W19) 
Accidental poisoning (X40-X49) 
Suicide and intentional self-harm (X60-X84) 
Homicide, assault (X85-Y09) 
Events of undetermined intent (Y10-Y34) 
Geopolitical entities NUTS 2003: at NUTS Level 2 
From 1994-1996 (3 years average) 

Health personnel - Absolute numbers and rate per 100.000 inhabi-
tants 

Units 
nbr 
100000hab   
hab_per_ 

Number (absolute value) 
Per 100.000 inhabitants 
Inhabitants per… 

Health Staff 
phys 
dentist 
pharm 
nurse 
Geopolitical entities NUTS 2003: at NUTS Level 2 
From 1993 (yearly) 

Physicians or doctors * 
Dentists * 
Pharmacists * 
Nurses and midwives 

H2BEDS 

Hospital  beds  -  Absolute  numbers  and  rate  per  100.000  inhabi-
tants 

Dimensions: 

1. 

UNIT 

2. 

FACILITY 

Units 
nbr 
100000hab   

hbeds 
hbeds_psy 
hbeds_acute  
hbeds_lt 

hbeds_oth 

Number (absolute value) 
Per 100.000 inhabitants 

Total number of hospital beds 
Number of psychiatric beds 
Number of acute care beds 
Number of long-term nursing care beds (ex-
cluding psychiatric) 
Other beds (speciality hospitals, etc.) 

* licensed, practising or active according to different national definitions 

158 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
                                               
Regional and Urban Statistics – Reference Guide 2006 

3.  

4. 

GEO 

Geopolitical entities NUTS 2003 : at NUTS Level 2 

TIME 

From 1993 (yearly) 

H2INFDIS   

Dimensions: 

Infectious diseases - Reported cases and incidence rates per 
100.000 inhabitants 

1. 

2. 

UNIT 

Units 
nbr 
100000hab   

DISEASE  Diseases 

Number (absolute value) 
Per 100.000 inhabitants 

gonoc_inf  Gonoccocal infections 
hepat_a 
hepat_b 
legio 
malaria 
measles 
meningo 
mumps 
pertussis 
rubella 
salmon 
shigell 
tuberco 
typh 
Geopolitical entities NUTS 2003 : at NUTS Level 2 
From 1994 (yearly) 

Hepatitis A 
Hepatitis B 
Legionellosis 
Malaria 
Measles 
Meningococcal disease 
Mumps 
Pertussis 
Rubella 
Salmonellosis 
Shigellosis 
Tuberculosis 
Typhoid and paratyphoid fever 

Health personnel - Absolute numbers and rate per 100.000 inhabi-
tants - candidate countries 

Units 
nbr 
100000hab   
Health Staff 
phys 
dentist 
pharm 

Number (absolute value) 
Per 100.000 inhabitants 

Physicians or doctors * 
Dentists * 
Pharmacists * 

3.  
4. 

GEO 
TIME 

XH2PERS 

Dimensions: 

1. 

2. 

UNIT 

STAFF 

* licensed, practising or active according to different national definitions 

159 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
                                               
Regional and Urban Statistics – Reference Guide 2006 

nurse 
Statistical regions at Level 2 
From 1993 (yearly) 

Nurses and midwives 

Hospital beds - Absolute numbers and rate per 100.000 inhabi-
tants - candidate countries 

Units 
nbr 
100000hab   
hbeds 
hbeds_psy 
hbeds_acute  
hbeds_lt 

hbeds_oth 
Statistical regions at Level 2 
From 1993 (yearly) 

Number (absolute value) 
Per 100.000 inhabitants 
Total number of hospital beds 
Number of psychiatric beds 
Number of acute care beds 
Number of long-term nursing care beds (ex-
cluding psychiatric) 
Other beds (speciality hospitals, etc.) 

3. 
4. 

GEO 
TIME 

XH2BEDS 

Dimensions: 

1. 

UNIT 

2. 

FACILITY 

3.  
4. 

GEO 
TIME 

160 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

10.  Tourism statistics 

10.1.  General presentation 

Definitions 

This collection on regional tourism statistics contains data on 
(cid:138)  The capacity of collective tourist accommodation (number of establishments, number of 

bedrooms, number of bedplaces) and 

(cid:138)  Occupancy in collective accommodation establishments (arrivals and nights spent, bro-

ken down into residents and non-residents). 

Data for the accession countries have been collected during 2003. 

The following text gives the definition of some key terms in tourism: 

Capacity of collective tourist accommodation 

Number of establishments 

The local unit is an enterprise or part thereof situated in a geographically identified place. 
At or from this place economic activity is carried out for which - save for certain exceptions - 
one or more persons work (even if only part-time) for one and the same enterprise. 

The accommodation establishment conforms to the definition of local unit as the production 
unit. This is irrespective of whether the accommodation of tourists is the main or secondary 
activity.  This  means  that  all  establishments  are  classified  in  the  accommodation  sector  if 
their capacity exceeds the national minimum even if the major part of turnover may come 
from restaurant or other services. 

Number of bedrooms 

A  bedroom  is  the  unit  formed  by  one  room  or  groups  of  rooms  constituting  an  indivisible 
rental whole in an accommodation establishment or dwelling. 

Rooms may be single, double or multiple, depending on whether they are equipped perma-
nently to accommodate one, two or several people (it is useful to classify the rooms respec-
tively). The number of existing rooms is the number the establishment habitually has avail-
able  to  accommodate  guests  (overnight  visitors),  excluding  rooms  used  by  the  employees 
working for the establishment. If a room is used as a permanent residence (for more than a 
year)  it  should  not  be  included.  Bathrooms  and  toilets  do  not  count  as  a  room.  An  apart-
ment is a special type of room. It consists of one or more rooms and has a kitchen unit and 
its own bathroom and toilet. Apartments may be with hotel services (in apartment hotels) or 
without hotel services. Cabins, cottages, huts, chalets, bungalows and villas can be treated 
like bedrooms and apartments, i.e. to be let as a unit. 

161 

 
 
Regional and Urban Statistics – Reference Guide 2006 

Number of bedplaces 

The  number  of bedplaces in an establishment or dwelling is determined by the number of 
persons who can stay overnight in the beds set up in the establishment (dwelling), ignoring 
any extra beds that may be set up by customer request. The term bedplace applies to a sin-
gle bed, double bed being counted as two bedplaces. The unit serves to measure the capac-
ity  of  any  type  of  accommodation.  A  bedplace  is  also  a  place  on  a  pitch  or  in  a  boat  on  a 
mooring to accommodate one person. One camping pitch should equal four bedplaces if the 
actual number of bedplaces is not known. 

Nights spent by residents and non-residents 

A night spent (or overnight stay) is each night that a guest actually spends (sleeps or stays) 
or  is  registered  (his/her physical presence there being unnecessary) in a collective accom-
modation establishment or in private tourism accommodation. 

Overnight stays are calculated by country of residence of the guest and by month. Normally 
the date of arrival is different from the date of departure but persons arriving after midnight 
and leaving on the same day are included in overnight stays. A person should not be regis-
tered in two accommodation at the same time. The overnight stays of non-tourists (e.g. refu-
gees) should be excluded, if possible. 

Arrivals of residents and non-residents 

An arrival (departure) is defined as a person who arrives at (leaves) a collective accommoda-
tion establishment or at private tourism accommodation and checks in (out). 

Statistically there is not much difference if, instead of arrivals, departures are counted. No 
age limit is applied: children are counted as well as adults, even in the case when the over-
night  stays  of  children  might  be  free  of  charge.  Arrivals  are  registered  by  country  of  resi-
dence of the guest and by month. 

The arrivals of non-tourists (e.g. refugees) are excluded, if possible. The arrivals of same-day 
visitors spending only few hours during the day (no overnight stay, the date of arrival and 
departure are the same) at the establishment are excluded from accommodation statistics. 

Country of residence 

A person is considered to be a resident in a country (place) if the person: 

(i) 
(ii) 

has lived for most of the past year or 12 months in that country (place), or 
has lived in that country (place) for a shorter period and intends to return within 12 
months to live in that country (place). 

International tourists should be classified according to their contry of residence, not accord-
ing to their citizenship. From a tourism standpoint any person who moves to another coun-
try (place) and intends to stay there for more than one year is immediately assimilated with 
other residents of that country (place). Citizens residing abroad who return to their country 
of  citizenship  on  a  temporary  visit  are  included  with  non-resident  visitors.  Citizenship  is 
indicated in the person’s passport (or other identification document), while country of resi-
dence has to be determined by means of question or inferred e.g. from the person’s address. 

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Tourist Accommodation 

Definition: 

Tourist  accommodation  =  Any  facility  that  regularly  or  occasionally  provides  overnight  ac-

commodation for tourists. 

The tourist accommodation types are as follows: 

•  Collective tourist accommodation establishments 
•  Hotels and similar establishments  
•  Other collective accommodation establishments  
• 
• 
• 
•  Rented accommodation 
•  Other types of private accommodation 

Tourist camp-sites 
Specialised establishments  
Private tourist accommodation 

Collective tourist accommodation establishments 

An accommodation establishment that provides overnight lodging for the traveller in a room 
or  some  other unit, but the number of places it provides must be greater than a specified 
minimum for groups of persons exceeding a single family unit and all the places in the es-
tablishment  must  come  under  a  common  commercial-type  management,  even  if  it  is  non-
profit-making. 

Hotels and similar establishments 

Hotels  and  similar  establishments  are  typified  as  being  arranged  in  rooms,  in  number  ex-
ceeding  a  specified  minimum;  as  coming  under  a  common  management;  as  providing  cer-
tain services including room service, daily bed-making and cleaning of sanitary facilities; as 
grouped  in  classes  and  categories  according  to  the  facilities  and  services  provided; and as 
not falling in the category of specialised establishments. 

Hotels 

Comprise  hotels,  apartment  hotels,  motels,  roadside  inns,  beach  hotels,  residential  clubs 
and  similar  establishments  providing  hotel  services including more than daily bed-making 
and cleaning of the room and sanitary facilities. 

Similar establishments 

Comprise  rooming  and  boarding  houses,  tourist  residence  and  similar  accommodation  ar-
ranged in rooms and providing limited hotel services including daily bed-making and clean-
ing of the room and sanitary facilities. This group also includes guest houses, Bed & Break-
fast and farmhouse accommodation. 

Other collective establishments and Specialised establishments 

Any establishment, intended for tourists, which may be non-profit making, coming under a 
common  management,  providing  minimum  common  services  (not  including  daily  bed-
making)  and  not  necessarily  being  arranged  in  rooms  but  perhaps  in  dwelling-type  units, 

163 

 
 
 
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campsites or collective dormitories and often engaging in some activity besides the provision 
of accommodation, such as health care, social welfare or transport. 

Holiday dwellings 

Include collective facilities under common management, such as clusters of houses or bun-
galows  arranged  as  dwelling-type  accommodation  and  providing  limited  hotel  services  (not 
including daily bed-making and cleaning). 

Tourist camp-sites 

Consist  of  collective  facilities  in  enclosed  areas  for  tents,  caravans,  trailers  and  mobile 
homes. All come under common management and provide some tourist services (shop, in-
formation, recreational activities). 

Camping sites let pitches for tents, caravans, mobile homes and similar shelter to overnight 
visitors who want to stay on a “touring” pitch for one night, a few days or week(s), as well as 
to people who want to hire a “fixed” pitch for a season or a year. Hired fixed pitches for long-
term rent (more than a year) may be considered as private acommodation. 

10.2.  Eurostat publications 

•  Yearbook on tourism statistics, 2002 (1990-2000 data, CD-Rom) 
•  Tourism trends in mediterranean countries, 2001 
•  Tourism – Europe, Central European countries, Mediterranean countries, key figures 

2000 - 2001 

•  Community Methodology on tourism statistics 
•  Tourism in Europe - Trends 1995-1998 
•  Methodological manual on the design and implementation of surveys on inbound tourism 
•  Methodological manual for statistics on congresses and conferences 
•  Dynamic Regional Tourism 

10.3.  Data sources 

The tourism data is first sent by the Member States to the appropriate specialised Eurostat 
unit F6. Regional data is then sent to the regional section. 

10.4.  Legal base 

The  data  supply  is  based  on  the  Council  Directive  95/57/EC  of  23  November  1995,  O.J. 
L291 of 6 December 1995. 

10.5.  Contact person 

The  contact  person  for  the  regional  tourism  statistics  is  Mr  Filipe  Alves,  e-mail: 
filipe.alves@cec.eu.int . 

For methodological questions, please contact the specialist in unit F6, Mr François Bovag-
net, e-mail: francois.bovagnet@cec.eu.int . 

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Regional and Urban Statistics – Reference Guide 2006 

10.6.  List of tables 

t_3r 

t04_2r 
t05_2r 
t06_2r 
t07_2r 

NOTE: 

Number of establishments, bedrooms and beds – NUTS levels 2, 3 – 
annual data 
Arrivals of residents - NUTS level 2 - annual data 
Nights spent by residents - NUTS level 2 - annual data 
Arrivals of non-residents - NUTS level 2 - annual data 
Nights spent by non-residents - NUTS level 2 - annual data 

Regions in EFTA countries and in accession countries are included in the same 
tables as regions in EU Member States. 

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10.7.  Detailed description 

Please note:   For NON-EU25 Countries, the territorial units for the 

dimension GEO are not NUTS, but "statistical regions" (SRE).  

t_3r 

Dimensions: 

Number of establishments, bedrooms and beds - NUTS levels 2,3 – 
annual data 

1. 

2. 

3. 
4. 

ACTIVITY 

Establishments 
Bedrooms 
Bed-Places 

INDIC_TO  Tourism indicator 
a001 
a002 
a003 
Type of activity 
a100 
b010 
b020 
b040 
b100 
Geopolitical entities NUTS 2003: At NUTS levels 2, 3 
from 1990 (yearly) 

Hotels and similar establishments 
Tourist campsites 
Holiday dwellings 
Other collective accommodation n.e.s. 

GEO 
TIME 

  Other collective accommodation establishments, total 

t04_2r 

Dimensions: 

1. 

ACTIVITY 

2. 
3. 

GEO 
TIME 

t05_2r 

Dimensions: 

1. 

ACTIVITY 

Arrivals of residents - NUTS level 2 - annual data 

Type of activity 
a100 
b010 
b020 
b040 
b100 
Geopolitical entities NUTS 2003: At NUTS level 2 
from 1990 (yearly) 

Hotels and similar establishments 
Tourist campsites 
Holiday dwellings 
Other collective accommodation n.e.s. 
Other collective accommodation establishments, total 

Nights spent by residents - NUTS level 2 - annual data 

Type of activity 
a100 
b010 
b020 
b040 
b100 

Hotels and similar establishments 
Tourist campsites 
Holiday dwellings 
Other collective accommodation n.e.s. 
Other collective accommodation establishments, total 

166 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

2. 
3. 

GEO 
TIME 

Geopolitical entities NUTS 2003 : At NUTS level 2 
from 1990 (yearly) 

t06_2r 

Dimensions: 

1. 

ACTIVITY 

2. 
3. 

GEO 
TIME 

t07_2r 

Dimensions: 

1. 

ACTIVITY 

2. 
3. 

GEO 
TIME 

Arrivals of non-residents - NUTS level 2 - annual data 

Type of activity 
a100 
b010 
b020 
b040 
b100 
Geopolitical entities NUTS 2003 : At NUTS level 2 
from 1990 (yearly) 

Hotels and similar establishments 
Tourist campsites 
Holiday dwellings 
Other collective accommodation n.e.s. 
Other collective accommodation establishments, total 

Nights spent by non-residents - NUTS level 2 - annual data 

Type of activity 
a100 
b010 
b020 
b040 
b100 
Geopolitical entities NUTS 2003 : At NUTS level 2 
from 1990 (yearly) 

Hotels and similar establishments 
Tourist campsites 
Holiday dwellings 
Other collective accommodation n.e.s. 
Other collective accommodation establishments, total 

167 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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11.  Transport and energy statistics 

11.1.  General presentation 

Energy 

Net production of electrical energy is measured as it leaves the power station, i.e. after de-
duction of consumption for auxiliary services and losses in the power station transformers. 

Hydroelectric power production includes wind-generated and geothermal electricity. 

Transport 

The concepts used for drawing up Community data on transport are summarized in Glos-
sary for Transport Statistics published by Eurostat, Economic commission for Europe and 
UN-ECMT. 

Means of transport 

The first set of tables gives the regional breakdown of certain general data on transport, viz.: 

• 

the data on transport networks indicate the length and category of the roads (e.g. mo-
torways), railways (e.g. electrified lines), and inland waterways (e.g. canals); 

•  Vehicle numbers include private cars (vehicles with seats for a maximum of nine per-
sons, including the driver), buses (vehicles with seats for ten or more persons), various 
types of utility vehicles (e.g. vehicles for the carriage of goods, special vehicles and road 
tractors), trailers and motorcycles. 

Persons and goods carried 

•  Road transport: the survey covers road transport carried out by vehicles registered in 
each  member  state,  on  its  national  territory  and  abroad.  Vehicles  with  a  useful  load 
capacity  of  not  more  than  3.5  tonnes  or  a  total  permitted  loaded  weight  of  not  more 
than six tonnes may be excluded from the survey. 

•  The data on maritime and air transport refer to domestic and foreign traffic. Traffic at 

the minor ports and airports may be included only in the totals for the country. 

• 

In  the  case  of  air  transport,  passengers  changing  aircraft  in  an  airport  in  the  region 
are counted twice (once on arrival and again on departure), whereas passengers con-
tinuing their journey in the same aircraft from the reporting airport are counted only 
once as transit passengers. 

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Regional and Urban Statistics – Reference Guide 2006 

Road safety 

•  Persons  killed  in  road  accidents  cover  all  categories  of  victim  (pedestrians,  cyclists, 

motorcyclists, car drivers, etc.). 

Journeys made by vehicles transporting goods 

The indicators in this data set describe the European Regions in function of the transport of 
goods. The main focus is the journeys made by vehicles transporting goods: how many jour-
neys  start,  transit  and  end  in  a  certain  region  and  how  many  kilometres  are  driven  those 
vehicles within the regions or to reach a certain region. 

The indicators are the result of a transport modelling exercise, carried out in the study on 
the  development  of  the  regional  dimension  of  road  transport  statistics  (reference  ERDF 
study 98/00/27/220) of which the methodology is described in an accompanying report on 
indicators. 

The above mentioned exercise is not expected to have a yearly update 

11.2.  Eurostat publications 

ENERGY:  

ENERGY:  

ENERGY:  

ENERGY:  

ENERGY: 

TRANSPORT: 

Principles and methods of the energy balance sheets- 1988 

Glossarium 1997 

Operation of nuclear power stations 

Energy balance sheets 

Statistical yearbook 

Road  freight  transport  at  regional  level  in  the  European  Union  (1996 
data) 
Panorama of Transport – Statistical overview of transport in the EU 
Everything on transport statistics 1970-2002, DVD-ROM 
Glossary for transport statistics 
Statistics in focus (several issues on transport by air and sea) 
Reference  Manual  for  Implementation  of  Council  Regulation  1172/98 
on statistics on the carriage of goods by road 

11.3.  Data sources 

Energy 

National data is collected by unit G4 by means of a questionnaire which is normally sent to 
energy  ministries  or  similar.  Unfortunately,  this  questionnaire  does  not  include  regional 
tables; therefore, regional energy data is not updated regularly but only occasionally by con-
sultation of energy-related statistical publications. 

169 

 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

Transport 

Data from various national sources (not only National Statistical Offices) are sent to the spe-
cialised  Eurostat  unit  G5.  Most  of  the  data  are  required  under  legal  obligations  (see  11.4 
below). For regional data on infrastructure, stock of vehicles and traffic safety data are col-
lected from Member States on a voluntary basis through a questionnaire. 

11.4.  Legal base 

Energy 

The data supply is based on a gentlemen’s agreement. 

Transport 

Nature 

N° 

Date 

OJ 

Pub-
lished 

Title 

Rail 
Regulation  

Commission 
Regulation 

Road 
Council 
Regulation 

Commission 
Regulation 

Commission  
Regulation 

Commission  
Regulation 

Commission 
Regulation 

Air 
Regulation 

Commission 
Regulation 

91/2003 

16/12/02 

L 14 

21.01.2003  Annual and quarterly data on rail 

transport statistics; goods, passenger, 
accidents, regional data, network 
traffic 

1192/2003  03/07/03  L 167  04.07.2003  Amendment of Regulation 91/2003 on 

rail transport statistics 

1172/98 

25/05/98  L 163  06.06.1998  Micro data on statistical returns in 
respect of the carriage of goods by 
road 

2691/1999  18/12/99  L 326  18.12.1999  Rules for implementing Council 
Regulation (EC) No 1172/98 on 
statistical returns in respect of the 
carriage of goods by road 

2163/2001  7/11/01 

L 291  08.11.2001  Concerning the technical arrangement 

for data transmission for statistics of 
the carriage of goods by road 

6/2003 

30/12/02 

L 1 

04.01.2003  Concerning the dissemination of 

statistics on the carriage of goods by 
road 

642/2004  06/04/04 

L 75 

07.04.2004  Precision requirements for data 

collected in accordance with Council 
Regulation 1172/98 on statistical 
returns in respect of the carriage of 
goods by road 

437/2003  27/02/03 

L 66 

11.03.2003  Statistical returns in respect of the 
carriage of passengers, freight and 
mail by air. 

1358/2003  31/07/03 

194 

01.08.2003  Implementation of Regulation 

437/2003 on statistical returns in 

170 

 
Regional and Urban Statistics – Reference Guide 2006 

respect of the carriage of passengers, 
freight and mail by air and 
amendment of Annexes I and II 

Maritime 
Council 
Directive 

Commission 
Decision 

Commission 
Decision 

Commission 
Decision 

95/64 

8/12/95 

L 320  30.12.1995  Annual and quarterly data on 

statistical returns in respect of 
carriage goods and passengers by sea 
applicable from 1997 onwards (with a 
transition period until 2000). 

98/385 

13/05/98  L 174  18.06.1998  Rules for implementing Council 

Directive 95/64/EC on statistical 
returns in respect of carriage of goods 
and passengers by sea 

2000/363  28/04/00  L 132  05.06.2000  Rules for implementing Council 

Directive 95/64/EC on statistical 
returns in respect of carriage of goods 
and passengers by sea 

2001/423  22/05/01  L 151  07.06.2001  Arrangements for publication or 

dissemination of the statistical data 
collected pursuant to Council 
Directive 95/64/EC on statistical 
returns in respect of carriage of goods 
and passengers by sea 

Inland waterways 
Council 
Directive 

80/1119/ 
EEC 

17/11/80  L 339  15.12.1980  Annual, quarterly and some monthly 
data on statistical returns in respect 
of carriage of goods by inland 
waterways 

Road accidents 
Council Deci-
sion 

Infrastructure 
Council 
Regulation 

1108/70 

11.5.  Contact person 

93/704/EC  30/11/93  L 329  30.12.1993  Creation of a Community database on 

road accidents 

4/06/70 

L 130  15.06.1970  Introducing an accounting system for 

expenditure on infrastructure in 
respect of transport by rail, road and 
inland waterway 

The  contact  person  for  regional  energy  and  transport  statistics  is  Mr  Filipe  Alves,  e-mail: 
filipe.alves@cec.eu.int . 

For methodological questions, please contact the following persons 

(cid:138) 
(cid:138) 

energy: Unit G4, Mr Pekka Lösönen, e-mail: pekka.loesoenen@cec.eu.int  
transport: Unit G5, Ms Carla Sciullo, e-mail: carla.sciullo@cec.eu.int  

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Regional and Urban Statistics – Reference Guide 2006 

11.6.  List of tables 

Energy 

EU Member States 

en2celec 
en2cons 

Electricity production capacity (in Megawatt) 
Electricity consumption by sector (in Gigawatthour) 

Candidate countries 

xencelec 
xencons 

Electricity production capacity (in Megawatt) 
Electricity consumption by sector (in Gigawatthour) 

Transport 

EU Member States 

reinlinf 
reroequi 
reroacci 
rerotruc 

reavgu98 
reavpu98 
reavgf98 
reavpf98 

remagu98 
remapu98 
remagf98 
remapf98 

Road, rail and navigable inland waterway networks 
Road transport, stock of vehicles by category 
Road safety 
Road transport of goods - Journeys made by vehicles 

Air transport of freight until 1998 (old methodology) 
Air transport of passengers until 1998 (old methodology) 
Air transport of freight from 1998 onwards (new methodology) 
Air transport of passengers from 1998 onwards (new methodology) 

Maritime transport of freight until 1998 (old methodology) 
Maritime transport of passengers until 1998 (old methodology)  
Maritime transport of freight from 1998 onwards (new methodology)  
Maritime transport of passengers from 1998 onwards (new 
methodology) 

Candidate Countries 

reinlicc 
reroeqcc 
reroaccc 

reavgocc 
reavpacc 

Road, rail and waterway networks - Candidate Countries 
Road transport, stock of vehicles by category – Candidate Countries 
Road safety - Candidate Countries 

Air transport of freight - Candidate Countries 
Air transport of passengers - Candidate Countries 

remagocc 

Maritime transport of freight - Candidate Countries 

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11.7.  Detailed description 

Please note:   For NON-EU25 Countries, the territorial units for the 

dimension GEO are not NUTS, but "statistical regions" (SRE).  

en2celec 
xencelec 

Electricity production capacity (in Megawatt) (Installed net capacity) 
ditto – Candidate countries 

Dimensions: 

1. 

GEO 

Member States: Geopolitical entities NUTS 2003:  
at NUTS level 2  
Candidate countries:   Statistical regions level 3 

2. 

ENERPROD  Energy sources 

Hydroelectric power 

HYDRO 
NUCLEAR  Nuclear power 
Thermal power 
THERM 
Total 
TOTAL 
Member States:  
From 1986 (yearly) 
Candidate Countries:  From 1995 (yearly) 

3. 

TIME 

Notes: 

CZ: 

HU: 
LV: 

SI:  

SK: 

The Hydro and Thermal electric production Capacity are not collected 
at regional level 
Electric Production Capacity: Annual average of net productin capacity. 
For Hydro and Thermal sources, the data for the Riga region (LV001) 
includes the volume of electricity produced by ‘Latvenergo’ in the other 
regions. 
Hydroelectric power: Sums of the regional data do not equal national 
data because of: 
- Valuation of net production from results of questionnaire IND-1/M 
- Small hydroelectric power plants are excluded 
- Different source and way of collecting the data 
- Different coverage of reporting units 
Nuclear power and Thermal power: Only public power stations are di-
vided between regions Sources: IND-4a: annual report of the Company 
for the Transfer of Electricity (ELES) and for the distribution of electricity. 
IND-4b: annual report of electricity autoproducers. Statistical Yearbook 
on Energy 1995. 
Installed energy production capacity. Data for 1996 follows the old ad-
ministrative-territorial arrangement (i.e. the one in use until the 31st of 
July 1996). 

173 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

en2cons 

xencons 

Dimensions: 

Electricity consumption by sector (in Gigawatt-hours) 

ditto – Candidate countries 

1. 

2. 

GEO 

Member States: Geopolitical entities NUTS 2003: at NUTS level 2 
Candidate countries:   Statistical regions level 3 

ENERSECT   Energy consumption sector 

Total electricity consumption 
Consumption by industrial sector 
Consumption by energy sector 
Consumption by transport sector 
Consumption by households 
Consumption by agriculture 
Consumption by services sector 
Other consumption 

TOTAL 
INDU 
ENER 
TRAN 
HH 
AGRI 
SERV 
OTHER 
Member States:  
from 1986 (yearly) 
Candidate Countries:   from 1995 (yearly) 

3. 

TIME 

Notes: 

DE, GR, NL:  “INDU” includes "ENER” 
FR: 
IE, NL: 
DK, FI: 
FI: 
CZ: 

“HH” includes low tension consumption in “AGRI” 
“HH” includes “AGRI” 
“INDU” includes construction 
“AGRI” includes private consumption of farms 
Since 1996 only household electric consumption is collected at re-
gional level, no other sectors of consumption. 
Only national data, Regional data not available. Source: Energy In-
formation Agency 
Energy sector: excluding own use by plant, used for pumped storage, 
electric boilers. 
Final consumption for 95, 96 and 97 is resp. 9656, 9582 and 9971 
GWh. 
Industry and Energy: Sums do not equal because of: 
- some producers of electricity, public and autoproducers, report also 
the difference between gross and net production as consumption in 
questionnaire IND-1/M 
- only the biggest wrong reports were excluded 
- gasworks and public heat only plants are excluded 
Transport and households: Data available only at national level. 
Agriculture, Services and Other: No data available 
Position ‘Industry’ includes Energy sector consumption data as well. 
Data for 1996 follows the old administrative-territorial arrangement 
(i.e. the one in use until the 31st of July 1996). 

174 

HU: 

LT: 

SI: 

SK: 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

reinlinf 
reinlicc 

Dimensions: 

Road, rail and navigable inland waterways network  
ditto – Candidate countries 

1. 

2. 

3. 

TRANNET  Type of transport network 
MOTORWAY  
ROAD_OTH   
TOT_RAIL 
RAIL2TR 
RAILELEC 
CANAL 
RIVER 
Member States: Geopolitical entities NUTS 2003: at NUTS level 2  
Candidate Countries: Statistical regions level 2 
Member States: from 1978 (yearly); CC: from 1990 (yearly) 

Motorways 
Other roads 
Total length of railway lines 
Length of double or more track railway lines 
Electrified railway lines 
Navigable canals 
Navigable rivers 

TIME 

GEO 

Units: 

km 

Notes: 

Navigable Inland Waterway 
A stretch of water, not part of the sea, over which vessels of a carrying capacity 
of not less than 50 tonnes can navigate when normally loaded. This term covers 
both navigable rivers and lakes and navigable canals. 
The length of rivers and canals is measured in mid-channel. The length of lakes 
and  lagoons  is  measured  along  the  shortest  navigable  route  between  the  most 
distant  points  to  and  from  which  transport  operations  are  performed.  A  water-
way forming a common frontier between two countries is reported by both. 

Categories of navigable in land waterways 
The categories of navigable inland waterways are defined with reference to inter-
national  classification  systems  such  as  those  drawn  up  by  the  United  Nations 
Economic Commission for Europe or by the European Conference of Ministers of 
Transport. 

Motorway 
Road, specially designed and built for motor traffic, which does not serve proper-
ties  bordering  on  it,  and  which:  is  provided,  except  at  special  points  or  tempo-
rarily, with separate carriageways for the two directions of traffic, separated from 
each  other,  either  by  a  dividing  strip  intended  for  traffic,  or  exceptionally  by 
other means; does not cross at level with any road, railway or tramway track, or 
footpath; is specially sign-posted as a motorway and is reserved for specific cate-
gories  of  road  motor  vehicles.  Entry  and  exit  lanes  of  motorways  are  included 

175 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

irrespectively of the location of the sign-posts. Urban motorways are always in-
cluded. 

EUR 15:  

DE: 

IT, BE: 

NL: 

UK: 
SE: 
FI: 
EE: 

HU: 
SK: 

Sections of rivers or canals that constitute the frontier between two 
Member States are counted only once, although they are included in 
the totals for each country. 
"Gemeindestrassen" are included in "other roads". The regional struc-
tures are as at 1975, hence there are no level 2 data. Rail network 
includes all railways for recent years. Early years cover only rail-
ways operated by Deutsche Bahn. 
Sections of rivers that constitute the frontier between two Member 
States are counted only once, in the national total. 
The Lauwersmeer, Ijsselmeerpolders and Randmeeren canals are in-
cluded only in the total for the country. 
Road network at 1 April 
Canal includes river 
Canal includes river 1990-1995 
Rail – the data are not divided by counties. 
Road – for 1995 – only national roads, for 1996-1998 – all roads. 
Network: river and canal: not available. 
Position “Other Roads” comprises the total length of 1st to 3rd class 
roads. Data for 1996 follows the old administrative-territorial ar-
rangement (i.e. the one in use until the 31st of July 1996). 

reroequi 
reroeqcc 

Dimensions: 

Road transport, stock of vehicles by category 
ditto – Candidate countries 

1. 

TRAN_TYP  Mode or means of transport 

TOT_VEH 
CAR 
BUS 
TOT_UTIL 
GOOD_VEH   
TRAC 
SPEC_VEH   
TRAIL_STRAIL 
MOTO 
Member States: Geopolitical entities NUTS 2003: at NUTS level 2  
Candidate Countries: Statistical regions level 2 

All vehicles (except trailers and motorcycles) 
Passenger cars 
Buses 
Total utility vehicles 
Goods road motor vehicle 
Road tractors 
Special vehicles 
Trailers and semi-trailers 
Motorcycles (> 50 cm³) 

Member States: from 1978 (yearly) 
Candidate Countries: from 1990 (yearly) 

176 

2. 

3. 

GEO 

TIME 

Units: 

1000 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

Notes: 

ROAD VEHICLES 
Motorcycle 
Two-wheeled  road  motor  vehicle  with  or  without  side-car,  including  motor 
scooter,  or  three-wheeled  road  motor  vehicle  not  exceeding  400  kg  (900  1b) 
unladen  weight.  All  such  vehicles  with  a  cylinder  capacity  of  50  cc  or  over  are 
included. 

Passenger car 
Road motor vehicle, other than a motor  cycle, intended for the carriage of pas-
sengers and designed to seat no more than nine persons (including the driver). 
The  term  “passenger  car”  therefore  covers  microcars  (need  no  permit  to  be 
driven), taxis and hired passenger cars, provided that they have fewer than ten 
seats. This category may also include pick-ups. 

Motor-coach or bus 
Passenger road motor vehicle designed to seat more than nine persons (includ-
ing the driver). 
Statistics also include mini-buses designed to seat more than nine persons (in-
cluding the driver). 

Lorry 
Rigid road motor vehicle designed, exclusively or primarily, to carry goods. 
This category includes vans which are rigid road motor vehicles designed exclu-
sively or primarily to carry goods with a gross vehicle weight of not more than 3 
500 kg. This category may also include “pick-ups.” 

Road tractor 
Road  motor  vehicle  designed,  exclusively  or  primarily,  to  haul  other  road  vehi-
cles which are not power-driven (mainly semi-trailers). Agricultural tractors are 
excluded. 

Trailer 
Goods road vehicle designed to be hauled by a road motor vehicle. This category 
exclude agricultural trailers and caravans.  

Semi- Trailer 

Goods road vehicle with no front axle designed in such way that part of the ve-
hicle and a substantial part of its load weight rests on the road tractor. 

Special purpose road vehicle 

177 

 
 
 
 
 
 
 
 
 
 
 
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Road  vehicle  designed  for  purposes  other  than  the  carriage  of  passengers  or 
goods. 
This  category  includes  e.g.  fire  brigade  vehicles,  ambulances,  mobile  cranes, 
self-propelled  rollers,  bulldozers  with  metallic  wheels  or  track,  vehicles  for  re-
cording film, radio and TV programmes, mobile library vehicles, towing vehicles 
for vehicles in need of repair, and other road vehicles not specified elsewhere. 

BE 
DE 

DK, EL, 
FR 

IE 
FI 
SE 
UK 

CZ: 
EE: 

HU: 

RO: 

SK: 

Numbers as at 1 August. 
Until 2000; Numbers as at 1 July, level 1 only. From 2001, as at 1 
January. The sum of the regions differs from the national total: vehi-
cles of the Deutsche Bundesbahn and the Deutsche Bundespost are 
not distributed by region. 
SPECIAL is included in GOODS; 
SPECIAL is included in GOODS; vehicles and motorcycles: Argus 
data; the number of utility vehicles includes only those less than ten 
years old. 
Only motorcycles above 75 cm3 
Numbers as at 31 December 
From years 2000, covers only vehicles in use at the end of the year. 
TRACTOR included in GOODS, the sum of the regions differs from na-
tional total. 
Position “Trailers and semi-trailers” contains only trailers. 
Data are collected by the National Motor Vehicle Registration Centre 
(NMVRC). Road tractors and special-purpose vehicles are accounted 
under Goods carriage motor vehicles. The NMVRC does not give these 
data by category. The number of trailers, semi-trailers and motorcy-
cles has been presented for Estonia as a whole as the NMVRC does 
not give these data by regions. 
The total number contains the number of vehicles owned by foreign 
citizens and registered by the Ministry of Home Affairs. Foreign vehi-
cles are not included in the region totals. Goods carriage motor vehi-
cles: including dumpers and special-purpose vehicles. 
Goods carriage vehicles: Rigid road motor vehicles designed exclu-
sively or primarily to carry goods. Road tractors: Articulated vehicle 
and road train. 
Position “Road tractors” for year 1997 contains newly bought road 
tractors surveyed separately as of 1997. Data for 1996 follows the 
old administrative-territorial arrangement (i.e. the one in use until the 
31st of July 1996). 

reroacci 

reroaccc 

Road safety 

ditto – Candidate countries 

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Type of victim 
Persons killed 
KIL  
Persons injured 
INJ 
Number of deaths per million private cars 
KIL_MIO_CAR 
KIL_MIO_POP 
Number of deaths per million inhabitants 
Member States: Geopolitical entities NUTS 2003: at NUTS level 2  
Candidate Countries: Statistical regions level 2 
Member States: from 1988 (yearly) 
Candidate Countries: from 1990 (yearly) 

Dimensions: 

1. 

VICTIM 

2. 

3. 

GEO 

TIME 

Units:  

number 

Notes: 

Any  accident  involving  at  least  one  road  vehicle  in  motion  on  a  public  road  or 
private road to which the public has right of access, resulting in at least one in-
jured or killed person. 
Included are: collisions between road vehicles; between road vehicles and pedes-
trians; between road vehicles and animals or fixed obstacles and with one road 
vehicle  alone.  Included  are  collisions  between  road  and  rail  vehicles  Multi-
vehicle collisions. 

NL 

injured: only those hospitalised 

Deaths: 

GR: 
ES: 
FR:  
IT:  
AT:  
PT:  
LV: 

There  are  some  significant  differences  in  the  definition  of  the  period 
taken into account after the accident. The 30 days international norm 
defined by the ECTM (European Conference of Transport Ministers – 
an OECD organisation) is applied by most countries except: 
period of 3 days (up to and including 1995) 
period of 24 hours (up to and including 1992) 
period of 6 days 
period of 7 days 
period of 3 days (up to and including 1991) 
period of 1 day 
period of 7 days  

Deaths happening after these periods are recorded as “injured”. 

To make the data comparable to the standard 30-day period, the following coef-
ficients must be used: 

GR: 
ES: 
FR: 
IT: 
AT: 
PT: 
LV: 

+ 18 % (up to and including 1995) 
+ 30 % (up to and including 1992) 
+   5,7 % (9 % up to and including 1992) 
+   7,8 % 
+ 12 % (up to and including 1991) 
+ 30 % 
+   7,8 % 

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IMPORTANT: 
The  data  presented  in  REGIO  (DEATH,  CAR_RT  and  POP_RT)  are  those  as 
transmitted by the Member States and have not been corrected with the coeffi-
cients shown above. 

SK: 

Data for 1996 follows the old administrative-territorial arrangement 
(i.e. the one in use until the 31st of July 1996). 

rerotruc 

Dimensions: 

Road transport of goods - Journeys made by vehicles 

1. 

INDIC_TR 
TRIPS_INTRA  

TRIPS_PROD 

TRIPS_ATTR  

TRIPS_TRAN  

KM_INTRA 

KM_TOT 

KM_PROD 

KM_ATTR 

ACC_MEAN   

ACC_MIN 

ACC_MAX 

TR_RATIO 
GEO 

2. 

Notes: 

Transport indicator 
Total number of driven intra-regional trips 
(trucks/day) 
Total number of trips produced by and leaving the 
region (trucks/day) 
Total number of trips attracted by but not originated 
in the region (trucks/day) 
Total number of trips transited through the region, 
without origin or destination in that region 
(trucks/day) 
Total number of kilometres produced by intra-regional 
trips (1000 km/day) 
Total number of kilometres driven within each region 
by all trucks, intra-regional trips are not included 
(1000 km/day) 
Total number of kilometres made by journeys pro-
duced by the region, intra-regional trips are not in-
cluded (1000 km/day) 
Total number of kilometres made by journeys at-
tracted by the region, intra-regional trips are not in-
cluded (1000 km/day) 
Mean distance between a region and all other regions 
of the European Union (km) 
Minimum distance a truck must drive to reach an-
other region (km) 
Maximum distance a truck can drive to reach another 
region (km) 
The share of total traffic that is transit traffic (%) 
Geopolitical entities NUTS 2003: at NUTS level 2 

Data  used  as  a  basis  for  the  indicators  in  this  data  set  were  collected  through 
surveys  conducted  according  to  the  requirements  laid  down  in  the  Council  Di-

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Regional and Urban Statistics – Reference Guide 2006 

rectives  on  statistical  returns  in  respect  of  the  carriage  of  goods  by  road 
(78/546/EEC  and  89/462/EEC).  The  survey  data  refer  to  1992  for  Greece,  to 
1993  for  Germany  and  Ireland,  to  1995  for  Italy  and  Portugal  and  to  1996  for 
France, the Netherlands, Belgium, Luxembourg, the United Kingdom, Denmark, 
Spain, Austria, Sweden and Finland. 
Additional data used in the transport model haven been obtained from Eurostat 
New Cronos. 
One  trip  is  defined  as  a  journey  of  one  truck  from  one  place  to  an  other,  this 
can be within a region of from one region to an other. The total number of trips 
is equal to the total number of vehicles/day. 
Production and attraction are expressed as the number of trips from (produc-
tion) or to (attraction) a region. 
Intra-regional  traffic  is  the  traffic  that  is  produced  and  attracted  by  the  same 
region. Origin and destination of the truck is the same region. 
Transit  traffic  is  the  traffic  that  transits  through  the  region  without  a  stop  for 
loading or unloading goods. 
The  transport  zones  within  the  study  area  are  identified  as  a  combination  of 
NUTS1  and  NUTS2  regions.  This  combination  was made to get a set of regions 
with a size as close as possible to the size required for modeling transport flows 
at a European level. 

Country 

BE  DK  DE  GR 

ES 

FR 

IRL 

NUTS level 

1 

2 

1 

1 

2 

2 

2 

IT 

2 

LU  NL 

2 

1 

A 

2 

PO  FIN 

SV  UK 

2 

2 

2 

1 

reavgu98   

Air transport of freight until 1998 (old methodology) 

reavgocc 

ditto – Candidate countries 

Dimensions: 

1. 

TRANSPRT  Type of transport 

TOT_GOOD   
LD_GOOD 
UNLD_GOOD 
TRANSIT_GOOD 

Total goods loaded and unloaded 
Goods loaded 
Goods unloaded 
Goods in transit 

2. 
3. 

GEO 
TIME 

Territorial units: at NUTS level 2 
from 1978 (yearly) 

Units: 

Freight in tons 

Notes: 

DE 
FR 
FR 

Minor airports' traffic included only in the national total. 
Data for Bâle-Mulhouse airport are included only in the national total.  
Freight loaded = total volume of freight (loaded and unloaded). 

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reavpu98   

Air transport of passengers until 1998 (old methodology) 

reavpacc 

ditto – Candidate countries 

Dimensions: 

1. 

TRANSPRT  Type of transport 

TOT_PASS 
EMB_PASS    
DISEMB_PASS 
TRANSIT_PASS 
Territorial units: at NUTS level 2 
from 1978 (yearly) 

Total pass. embarked and disembarked 
Passengers embarked 
Passengers disembarked 
Passengers in transit 

2. 
3. 

GEO 
TIME 

Units: 

1000 passengers 

Notes: 

DE 
FR 

Minor airports' traffic included only in the national total. 
Data for Bâle-Mulhouse airport are included only in the national 
total. 

reavgf98 

Air transport of freight from 1998 onwards (new methodology) 

Dimensions: 

1. 

TRANSPRT  Type of transport 

TOT_GOOD   
LD_GOOD 
UNLD_GOOD 
Territorial units: at NUTS level2 
from 1998 (yearly) 

Total goods loaded and unloaded 
Goods loaded 
Goods unloaded 

2. 
3. 

GEO 
TIME 

Units: 

Freight in tons 

Notes: 

Small airports not taken into account. 

reavpf98 

 Air transport of passengers from 1998 onwards (new methodology) 

Dimensions: 

1. 

TRANSPRT  Type of transport 

TOT_PASS 
EMB_PASS   
DISEMB_PASS 
Territorial units: at NUTS level 2 
from 1998 (yearly) 

Total pass. embarked and disembarked 
Passengers embarked 
Passengers disembarked 

2. 
3. 

GEO 
TIME 

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Units: 

1000 passengers 

Notes: 

Small airports not taken into account 

remagu98   

Maritime transport of freight until 1998 (old methodology) 

remagocc   

ditto – Candidate countries 

Dimensions: 

1. 

TRANSPRT  Type of transport 

TOT_GOOD   
LD_GOOD 
UNLD_GOOD 
Territorial units: at NUTS level 2 
from 1978 (yearly) 

Total goods loaded and unloaded 
Goods loaded 
Goods unloaded 

2. 
3. 

GEO 
TIME 

Units:  

1000 t 

Notes: 

DE, DK, FR, IT 
FR 

Not including goods passing through one port only 
Minor ports traffic included only in the national total 

remapu98 

 Maritime transport of passengers until 1998 (old methodology) 

Dimensions: 

1. 

TRANSPRT  Type of transport 

TOT_PASS 
EMB_PASS   
DISEMB_PASS 
Territorial units: at NUTS level 2 
from 1978 (yearly) 

Total pass. embarked and disembarked 
Passengers embarked 
Passengers disembarked 

2. 
3. 

GEO 
TIME 

Units:  

1000 persons 

Notes: 

UK 

Only international passenger movements. 

remagf98 

 Maritime transport of freight from 1998 onwards (new methodology) 

Dimensions: 

1. 

TRANSPRT  Type of transport 

TOT_GOOD   
LD_GOOD 

Total goods loaded and unloaded 
Goods loaded 

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UNLD_GOOD 
Territorial units: at NUTS level 2 
from 1998 (yearly) 

Goods unloaded 

2. 
3. 

GEO 
TIME 

Units: 

1000 t 

Notes: 

Only ports handling more than 1 million tonnes per year are reporting. 

remapf98 

Dimensions: 

 Maritime  transport  of  passengers  from  1998  onwards  (new  metho-
dology) 

1. 

TRANSPRT  Type of transport 

TOT_PASS 
EMB_PASS   
DISEMB_PASS 
Territorial units: at NUTS level 2 
from 1998 (yearly) 

Total pass. embarked and disembarked 
Passengers embarked 
Passengers disembarked 

2. 
3. 

GEO 
TIME 

Units:  

1000 persons 

Notes: 

Only ports handling more than 200 000 passenger movements per year are re-
porting. 

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12.  Environment statistics 

12.1.  General presentation 

Environment 

Environment covers three major environmental domains: water uses, waste water manage-
ment and municipal and hazardous waste management. Each domain is largely inspired by 
the the joint OECD/Eurostat questionnaire on the State of the Environment. For more in-
formation, see also water and waste sections in NewCronos "Milieu". 

Water 

Total gross abstraction of water by public water supply is the total abstraction with losses 
included. 

Total public water supply is the total supply without losses ("net consumption", one could 
say). 

Public  water  supply  has  to be regarded as public water  ("Water  supply  by  waterworks.  De-
leveries of water from one public water supply undertaking to another are excluded") and not 
use of water by public. 

The total gross abstraction of water (=total withdrawal), is asked for, with a specification by 
purpose: how much abstraction is done for public water supply, how much for agriculture, 
industry, private households etc.  

Parameter refering to public water supply is not the aggregation of the parameters related to 
agriculture, industry, private households, etc. which are referring to self-supply. 

The  definition  of  self-supply,  from  the  OECD/  Eurostat  Joint  Questionnaire,  is  :  "net  ab-
straction of water for own final use". 

Waste water 

The corresponding definition in the OECD/ Eurostat Joint Questionnaire is: „The generation 
of  waste  water  by  point  sources  is  broken  down  into  activity  categories  defined  according  to 
the  ISIC  and  NACE  classifications.  For  the  purpose  of  this  questionnaire  the  discharges  from 
industrial activities are defined as the quantities that leave the plant site. This means that an 
eventual  waste  water  treatment  inside  a  plant  site  is  seen  as  part  of  the  production  process 
and that only the effluents are to be included in the data asked forquot;. 

For the purposes of the regional questionnaire only the total value of discharges without the 
sectoral  breakdown  is  requested  ,  in  order  to  compare  it  with  the  domestic  sector  genera-
tion. Waste water generation by industry is not asked for as a separate item in the regional 
questionnaire  because  the  focus  is  primarily  based  on  the  treatment  plants  managed  by 
public authorities, the potential receiver of structural funds. 

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In this questionnaire, one Equivalent per Inhabitant is defined as 60g BOD5 per day 

Waste 

Waste refers to materials which are not prime products (i.e. products produced for the mar-
ket)  and  for  which  the  generator  has  no  further  use  for  his  own  purpose  of  production, 
transformation  or  consumption,  and  which  he  wants  to  dispose  of.  Wastes  may  be  gener-
ated  during  the  extraction  of  raw  materials,  during  the  processing  of  raw  materials  to  in-
termediate  and  final  products,  during  the  consumption  of  final  products,  and  during  any 
other  human  activity.  Wastes  recycled  or  reused  at  the  place  of  generation  (internal  recy-
cling) are excluded. Also excluded are waste materials that are directly discharged into am-
bient water or air. 

DEFINITIONS 

Most definitions concerning water supply and waste water treatment are extracted from: the 
ECE  standard  classification  of  water  use  CES/636  and  Systems  of  Water  Statistics  in  the 
ECE Region (ECE/Water/43).  

They  are  used  as  well  in  the  joint  Eurostat/OECD  questionnaire  on  the  State  of  the  Environ-
ment. 

FRESH SURFACE WATER: 

Water which flows over, or rests on the surface of a land mass, natural watercourses such 
as  rivers,  streams  brooks,  lakes,  etc.,  as  well  as  artificial  watercourses  such  as  irrigation, 
industrial  and  navigation 
reservoirs. 
For purposes of this questionnaire, bank filtration is covered under surface water but sea-
water, permanent bodies of stagnant water both natural and artificial, and transitional wa-
ters, such as brackish swamps, lagoons and estuarine areas are not considered surface wa-
ter and so are included under OTHER WATER. 

systems  and  artificial 

canals  drainage 

FRESH GROUND WATER: 

Fresh  water  which  is  being  held  in,  and  can  usually  be  recovered  from,  or  via,  an  under-
ground formation. All permanent and temporary deposits of water, both artificially charged 
and naturally, in the subsoil, being of sufficient quality for at least seasonal use. This cate-
gory  includes  phreatic  water-bearing  strata,  as  well  as  deep  strata  under  pressure  or  not, 
contained in porous or fracture soils. For purposes of this questionnaire, ground water in-
cludes springs, both concentrated and diffused, which may be subaqueous. 

Excluded from ground water is bank filtration (covered under surface water). 

OTHER WATER: 

Includes  atmospheric  precipitation,  sea  water,  permanent  bodies  of  stagnant  water  both 
natural  and  artificial  mine  water,  drainage  water  (reclamation's)  and  transitional  water, 
such as brackish swamps, lagoons and estuarine areas. Resources can be assessed statisti-
cally for individual components of other water, but not for the item as a whole. 

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Other  water  resources  may  be  of  great  importance  locally,  although  in  a  national  context 
they are usually of lesser importance as compared to surface and ground water resources. 

WATER ABSTRACTION = WATER WITHDRAWAL: 

Water removed from any source, either permanently or temporarily. Mine water and drain-
age water are included. Water abstractions from ground water resources in any given time 
period are defined as the difference between the total amount of water withdrawn from aqui-
fers and the total amount charged artificially or injected into aquifers. The amounts of water 
artificially charged or injected are attributed to abstractions from that water resource from 
which they were originally withdrawn. 

SUPPLY OF WATER: 

Delivery of water to final users plus net-abstraction of water for own final use (self-supply). 

PUBLIC WATER SUPPLY: 

Water  supply  by  water  works.  Deliveries  of  water  from  one  public  supply  undertaking  to 
another are excluded. 

COOLING WATER: 

Water which is used to absorb and remove heat. In this questionnaire cooling water is bro-
ken down into cooling water used in the generation of electricity in power stations, and cool-
ing water used in other industrial processes. 

INVESTMENT: 

Expenditure during the reference period on buildings, machinery and equipment and other 
capital goods having a useful life of more than one year for use in the context of water sup-
ply,  waste  collection,  and  treatment  respectively.  The  investment  is  calculated  by  the  pur-
chase  price  or  construction  cost,  including  design  and  installation  cost.  The  value  of  land 
necessary for the installation is also included.  

Additions,  alterations,  improvements  and  renvoations  which  prolong  the  service  life  or  in-
crease  the  productive  capacity  are  included.  Current  maintenance  costs  are  excluded. 
Where large investments take place over more than one reference period, please report the 
expenditure incurred during the reference period.  

This investment is to be broken down by the financing institution, national authorities, re-
gional authorities or local authorities. This may require to single out financial transfers be-
tween the different levels of government authorities. 

WASTE WATER: 

Water which is of no further immediate value to the purpose for which it was used or in the 
pursuit  of  which  it  was  produced  because  of  its  quality,  quantity  or  time  of  occurrence. 
However, waste water from one user can be a potential supply to a user elsewhere. Cooling 
water is not considered to be waste water for purposes of this questionnaire. 

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WASTE WATER TREATMENT: 

Process to render waste water fit to meet applicable environmental standards or other qual-
ity  norms  for  recycling  or  reuse.  Three  broad  types  of  treatment  are  distinguished  in  the 
questionnaire:  mechanical,  biological  and  advanced.  For  purposes  of  calculating  the  total 
amount of treated waste water, volumes reported should be shown only under the "highest" 
type of treatment to which it was subjected. 

Thus, waste water treated mechanically as well as biologically should be shown under bio-
logical treatment, and waste water treated in accordance with all three types should be re-
ported under advanced treatment.  

NB : Waste water treatment does not include collection of sewage or storm water, even when 
without collection no treatment will be possible  

TREATMENT PLANT: 

Installation to render waste water, sludge, storm water or cooling water fit to meet applica-
ble environmental standards or other quality norms for recycling or reuse. 

PUBLIC SEWERAGE: 

Sewerage networks for the evacuation of domestic and other waste water, operated by gov-
ernmental, federal or local authorities, by communities, water authorities or sewage/waste-
water  collection,  discharge  and  treatment  associations.  This  does  not  necessarily  include 
waste water treatment. 

NOT PUBLIC SEWERAGE (or INDEPENDENT SEWERAGE): 

Individual  private  facilities  installed  to  evacuate  domestic  and  other  waste  water  in  cases 
where a public, sewerage network is not available or not justified or either because it would 
produce no environmental, benefit or it would involve excessive cost. 

PUBLIC SEWAGE TREATMENT (MSTP): 

Public  sewage  treatment  is  all  treatment  of  sewage  in  municipal  sewage  treatment  plants 
(MSTP)  by  official  authorities  or  private  companies  (for  local  authorities),  where  the  treat-
ment of sewage is the aim of the firm. 

OTHER WASTE WATER TREATMENT (IWWP): 

Treatment of waste water or sewage in any treatment plant not being public treatment, i.e. 
industrial  waste  water  plants  (IWWP).  Excluded  from  other  waste  water  treatment  is  the 
treatment in septic tanks. 

MECHANICAL TREATMENT TECHNOLOGY(= PRIMARY TREATMENT): 

Processes of a physical and mechanical nature which result in decanted effluents and sepa-
rate sludge.  

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Mechanical  processes  are  also  used  in  combination  and/or  in  conjunction  with  biological 
and advanced unit operations. Mechanical treatment is understood to include at least such 
processes as sedimentation, flotation etc. 

BIOLOGICAL TREATMENT TECHNOLOGY (= SECONDARY TREATMENT): 

Process which employ aerobic or anaerobic microorganisms and result in decanted effluents 
and  separated  sludge  containing  microbial  mass  together  with  pollutants.  Biological  treat-
ment  processes  are  also  used  in  combination  and/or  in  conjunction  with  mechanical  and 
advanced unit operations. 

ADVANCED TREATMENT TECHNOLOGY: 

Process  capable  of  reducing  specific  constituents  in  waste  water  or  sludge  not  normally 
achieved by other treatment options. For the purpose of this questionnaire, advanced treat-
ment  technology  covers  all  unit  operations  which  are  not  considered  to  be  mechanical  or 
biological.  In  waste-water  treatment  this  includes  e.g.  chemical  coagulation,  flocculation 
and  precipitation,  break-point  chlorination,  stripping,  mixed  media  filtration  micro-
screening,  selective  ion  exchange,  activated  carbon  adsorption,  reverse  osmosis,  ultra-
filtration, electro flotation. 

Advanced treatment processes are also used in combination and-or in conjunction with me-
chanical and biological unit operations. 

TREATMENT CAPACITY: 

The total quantity of oxygen demanding material that a waste water treatment plant is de-
signed  for  which  can  daily  be  treated  with  a  certain  efficiency.  This  quantity  is  in  general 
expressed in population equivalents.  

Please specify how the population equivalent has been defined (g of BOD/day) 

WASTE WATER GENERATED: 

Either the quantity of water in cubic meters (m3) that has been polluted by adding waste or 
heat to a water course,or, the substances (pollution in kg BOD/d or comparable) that have 
been  added  to  the  waste  water.  The  origin  can  be  domestic use (used water from bathing, 
toilets, cooking etc.) or industrial use.,  

DOMESTIC SEWAGE: 

Water discharged after use in households, municipalities, and community, social and per-
sonal services (NACE/ISIC 75-99). For purposes of this questionnaire, industrial, commer-
cial  and  trade  waste  water,  which  cannot  be  reported  separately,  is  included  in  domestic 
sewage. 

WASTES:  

Substances or objects (as set out in annex 1 of the Directive 75/442/EEC on waste) which 
are  disposed  of  or  are  intended  to  be  disposed  of  or  are  required  to  be  disposed  of  by  the 
provisions of national law.  

Wastes discharged into sewers, inland waterways or the sea are to be included.  

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HAZARDOUS WASTES:  

Substances  or  objects  to  which  the  definition  of  waste  applies  and  which  form  a  potential 
danger for human health and/or the quality of the natural environment. Hazardous wastes 
are  listed  in  the  annexes  of  the  Basel  Convention,  in  EU  Council  Decision  94/904/EC  or 
are defined in national law.  

MUNICIPAL WASTES:  

Wastes collected by or on behalf of municipalities. These wastes include household wastes 
(post-consumption  wastes  of  households,  collected  door-to  door  or  delivered  to  a  disposal 
plant), similar wastes of commerce and trade, similar wastes of hospital and street and mar-
ket cleansing waste. Any material fractions collected separately mainly from households by 
municipalities or by private packaging organizations are included in the definition.  

RECOVERY OPERATIONS:  

Technical operations, from simple sorting to more complicated treatment, performed in view 
of obtaining useful materials or energy from wastes.  

ENERGY RECOVERY:  

The  use  of  combustible  waste  as  a  means  to  generate  energy  through  direct  incineration 
with or without other waste but with a net gain of energy.  

MATERIAL RECOVERY: 

Recovery  operations  such  as  sorting,  physical-chemical  treatment  in  view  of  separating  or 
regenerating useful materials from wastes (distillation of spent solvents, re-refining of min-
eral oils, etc.). Different to recycling. 

SECONDARY RAW MATERIALS=RECOVERED MATERIALS:  

Materials for recycling separated or extracted from wastes for re-introduction into a produc-
tion process.  

12.2.  Eurostat publications 

Statistics In Focus 
Water management in the regions of the European Union 

Other publications 
Regional Environmental Statistics- Initial data collection results. Data 1980-1999. ISBN 92-
828-6259-3 

12.3.  Data sources 

This data was compiled by Eurostat on the basis of the country replies on the Regional En-
vironment Questionnaire 1999.  

190 

 
Regional and Urban Statistics – Reference Guide 2006 

The data is first collected by the specialised Eurostat unit E3 and transmitted to the re-
gional section. 

12.4.  Legal base 

The data supply is based on a gentlemen’s agreement. 

12.5.  Contact person 

The contact person for regional environment statistics is Mr Filipe Alves, e-mail:  
filipe.alves@cec.eu.int . 

For methodological questions, please contact Mr Jürgen Förster, e-mail:  
juergen.foerster@cec.eu.int . 

12.6.  List of tables 

EU Member states 

env2wa 
env2wwat 
env2wast 

Regional water statistics 
Regional waste water statistics 
Regional waste statistics 

Non EU-25 countries 

xenv2wat 
xenv2wwt 
xenv2was 

Regional water statistics – Candidate countries 
regional waste water statistics – Candidate countries 
Regional waste statistics – Candidate countries 

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Regional and Urban Statistics – Reference Guide 2006 

12.7.  Detailed description 

Please note:   For NON-EU25 Countries, the territorial units for the 

dimension GEO are not NUTS, but "statistical regions" (SRE).  

env2wa 

Regional Water statistics 

xenv2wat   

ditto – Candidate countries 

Dimensions: 

1. 

WA 

Water abstracting sector 
sfw_0 

sfw_1 

sfw_2 

sfw_3 

sfw_4 

sfw_5 

gdw_0 

gdw_1 

gdw_2 

gdw_3 

gdw_4 

gdw_5 

totw_0 

totw_1 

totw_2 

totw_3 

Total gross abstraction of fresh surface water (mio 
m3/yr) 
Abstraction of fresh surface water by public water 
supply (mio m3/yr)  
Abstraction of fresh surface water by agriculture, etc… 
(mio m3/yr) 
Abstraction of fresh surface water by domestic sector 
(private households) (mio m3/yr) 
Abstraction of fresh surface water by production of 
electricity (cooling) (mio m3/yr) 
Abstraction of fresh surface water by industry, all ac-
tivities (mio m3/yr) 
Total gross abstraction of fresh ground water (mio 
m3/yr)  
Abstraction of fresh ground water by public water 
supply (mio m3/yr)   
Abstraction of fresh ground water by agriculture, etc… 
(mio m3/yr) 
Abstraction of fresh ground water by domestic sector 
(private households) (mio m3/yr) 
Abstraction of fresh ground water by production of 
electricity (cooling) (mio m3/yr) 
Abstraction of fresh ground water by industry, all ac-
tivities (mio m3/yr) 
Total gross abstraction of total fresh water (ground + 
surface) (mio m3/yr) 
Abstraction of total fresh water (ground + surface) by 
public water supply (mio m3/yr) 
Abstraction of total fresh water (ground + surface) by 
agriculture etc... (mio m3/yr) 
Abstraction of total fresh water (ground + surface) by 
domestic sector (private households) (mio m3/yr) 

192 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

totw_4 

Abstraction of total fresh water (ground + surface) by 
production of electricity (cooling) (mio m3/yr)

totw_5 

otw_0 

otw_1 

otw_2 

pws_0 
pws_1 

pws_2 

iws_0 

iws_1 

iws_1_1 

iws_1_2 

iws_1_3 

iws_2 

Abstraction of total fresh water (ground + surface) by 
industry, all activities (mio m3/yr) 
Total gross abstraction of other surface water (marine 
and brakich inclusive) (mio m3/yr) 
Abstraction of other surface water (marine and 
brakich inclusive) by production of electricity (cooling) 
(mio m3/yr) 
Abstraction of other surface water (marine and 
brakich inclusive) by industry, all activities (mio 
m3/yr) 
Total public water supply (mio m3/yr) 
Total public water supplied to the domestic sector (mio 
m3/yr)  
Population connected to public water supply system 
(% of national population) 
Total investments by public + private sectors in water 
supply facilities (Mio national currency) 
Total investments by public sector in water supply 
facilities (Mio national currency) 
Total investments by public national authoroties in 
water supply facilities (Mio national currency)  
Total investments by public regional authoroties in 
water supply facilities (Mio national currency) 
Total investments by public local authoroties in water 
supply facilities (Mio national currency) 
Total investments by private sector in water supply 
facilities 

2. 

GEO 

Member states: Geopolitical entities NUTS 2003: at NUTS level 2  
Candidate countries: Statistical regions level 2 

3. 

TIME 

Member states: From 1980 
Candidate countries: From 1980 

env2wwat   

Regional waste water statistics 

xenv2wwt   

ditto – Candidate countries 

Dimensions: 

1. 

WW 

Waste water sources and sectors 

wwpop_1 

Population connected to public sewage treatment (% of 
national population) 

193 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

wwpop_2 

wwg_1 

Population connected to public sewarage (% of  
national population) 
Total waste water generated from point sources (1000 
I.E.) 

wwg_3 

wwtp_0_1 
wwtp_0_2 

wwtp_0_3 

Total waste water connected to public sewage treat-
ment (1000 I.E.) 
Total treatment plants, number  
Total public treatment plants, design capacity  
(1000 I.E.) 
Total treatment plants, actual occupation  
(1000 I.E.) 

wwtp_1_1  Mechanical treatment plants, number 
wwtp_1_2  Mechanical treatment plants, design capacity  

(1000 I.E.) 

wwtp_1_3  Mechanical treatment plants, actual occupation (1000 

I.E.) 

wwtp_2_1  Biological treatment plants, number 
wwtp_2_2  Biological treatment plants, design capacity  

(1000 I.E.) 

wwtp_2_3  Biological treatment plants, actual occupation (1000 

I.E.) 

wwtp_3_1  Advanced treatment plants, number 
wwtp_3_2  Advanced treatment plants, design capacity  

(1000 I.E.) 

wwtp_3_3  Advanced treatment plants, actual occupation (1000 

iww_0 

iww_1 

iww_1_1 

iww_1_2 

iww_1_3 

iww_2 

I.E.) 
Total investments in waste water collection and treat-
ment facilities (public + private sectors)  
(Mio national currency)  
Total investments by public sector in waste water col-
lection and treatment facilities (Mio national currency 
Total investments by public national authoroties in 
waste water collection and treatment facilities  
(Mio national currency) 
Total investments by public regional authoroties in 
waste water collection and treatment facilities  
(Mio national currency) 
Total investments by public local authoroties in waste 
water collection and treatment facilities  
(Mio national currency) 
Total investments by private sector in waste water col-
lection and treatment facilities (Mio national  
currency) 

194 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

2. 

GEO 

Member states: Geopolitical entities NUTS 2003: at NUTS level 2 
Candidate countries: Statistical regions level 2 

3. 

TIME 

Member states: from 1980  
Candidate countries: from 1980 

env2wast:   

Regional waste statistics 

xenv2was   

ditto – Candidate countries 

Dimensions: 

1. 

WASTE 

Waste 
muc_0 

muc_1 
muc_2 

muc_3 

mu_1 

mu_2 
mu_3 

Total amount of municipal waste collected by or on 
behalf of municipalities (1000 t) 
Municipal waste collected from households (1000 t) 
Municipal waste collected by origin other than from 
households (1000 t) 
Population served by municipal waste collection ser-
vices (as % of national population) 
Municipal waste incinerated, with and without energy 
recovery (1000 t) 
Municipal waste landfilled (1000 t) 
Municipal waste treated or disposed other than incin-
eration or landfilling (1000 t) 

mutp_0_1  Total treatment plants, number 
mutp_0_2  Total treatment plants, annual capacity (1000 t) 
mutp_1_1  Landfill sites, number 
mutp_1_2  Landfill sites, capacity (1000 t) 
mutp_1_3  Landfill sites, actual occupation (1000 t) 
Incineration plants, number 
mutp_2_1 
mutp_2_2 
Incineration plants, capacity (1000 t) 
mutp_3_1  Other treatment and disposal installations, number 
mutp_3_2  Other treatment and disposal installations, capacity 

imu_0 

imu_1 

imu_1_1 

imu_1_2 

(1000 t) 
Total investments, public + private, in municipal 
waste treatment and disposal facilities (Mio national 
currency) 
Total investments by public sector in municipal waste 
treatment and disposal facilities (Mio national cur-
rency) 
Total investments by public national authorities in 
municipal waste treatment and disposal facilities (Mio 
national currency) 
Total investments by public regional authorities in 
municipal waste treatment and disposal facilities (Mio 
national currency) 

195 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

imu_1_3 

imu_2 

hw_0 
hw_1 
hw_2 

hw_3 

Total investments by public local authorities in mu-
nicipal waste treatment and disposal facilities (Mio na-
tional currency) 
Total investments by private sector in municipal waste 
treatment and disposal facilities (Mio national cur-
rency) 
Total amount of hazardous waste generated (1000 t) 
Hazardous waste incinerated (1000 t) 
Hazardous waste landfilled, including incineration 
wastes (1000 t)  
Hazardous waste with other disposal and treatment 
(1000 t) 

2. 

GEO 

Member states: Geopolitical entities NUTS 2003: at NUTS level 2  
Candidate countries: Statistical regions level 2 

3. 

TIME 

Member states: from 1980 (yearly) 
Candidate countries: from 1980 (yearly) 

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Regional and Urban Statistics – Reference Guide 2006 

III.  DETAILED DESCRIPTION OF THE 

URBAN AUDIT DATABASE 

1.  General presentation 

The Urban Audit is a response to growing demand for an assessment of the quality of life in 
European cities, where a significant proportion of European Union citizens live. The Urban 
Audit is a joint effort by the Directorate-General for Regional Policy (DG REGIO) and Euro-
stat  to  provide  reliable  and  comparative  information  on  selected  urban  areas  in  Member 
States of the European Union and the candidate countries. 

Comparison  of  cities  by  regional,  national  and  European  agencies  as  well  as  between  the 
cities themselves, according to their position in Europe (central – peripheral; North – South) 
and  certain  developments  in  different  areas  (economic  activity,  employment,  public  trans-
port, education level etc.) as well as disparities  within cities are very useful, if not crucial, 
for policy measures. 

In the Urban Audit project, Eurostat has been responsible for coordinating the flow of Ur-
ban Audit data at the European level. Contact address (e-mail): 

Estat-Urban-Audit@cec.eu.int  

In  terms  of  organisation,  the  national  Coordinators  at  the  NSOs  have  been  mandatory  as 
the  link  between  the  cities  and  Eurostat.  Much  data  already  existed  at  the  NSOs  in  their 
databases  or  in  administrative  registers  available  to  them.  The  remaining  part  of  the  data 
had to be collected from the cities. 

Spatial levels 

Data have been collected on three spatial levels: 

- 

- 

- 

the Core City (C) according to the administrative definition, as the basic level, 

the Larger Urban Zone (LUZ) being an approximation of the functional urban zone cen-
tred around the town/city, and  

the Sub-City District (SCD) being a subdivision of the city according to strict criteria. 

197 

 
 
 
Regional and Urban Statistics – Reference Guide 2006 

The selection of participating towns / cities and the definition of the composition of the LUZ 
and the SCD in terms of spatial units had to respect certain criteria: 

(cid:137) 

(cid:137) 

(cid:137) 

the participating towns / cities in each country should represent about 20 % of the 
population in that country 

the participating towns / cities should reflect a good geographic distribution within 
the country (peripheral, central) 

coverage should reflect more medium-sized  towns / cities than was the case in the 
UAPP  (medium-sized  towns  /  cities  having  a  population  of  between  50  000  –  250 
000 inhabitants, large towns / cities with >250 000) 

(cid:137)  data should be available and comparable 

This “sampling” procedure for the Urban Audit project was closely and specifically designed 
by Eurostat, DG REGIO, the NSOs and the towns / cities in the countries. The final selec-
tion of participating towns / cities in the Urban Audit has been a compromise between all 
aspects. 

Towns and cities have, as local councils or governments, most of the responsibility for man-
aging urban change. Very often, towns and cities are service providers and they develop and 
maintain the infrastructure; the relevant local administration is empowered to run the town 
/ city. In this way, it is clear that information is available at an administrative level. More 
than  this, urban areas also have an impact  on surrounding areas in terms of commuting, 
job concentration, traffic systems etc. In this way, there is also a need for a delimitation of 
functional urban regions and a request of information on these larger “urban” entities. 

The definition of the Larger Urban Zone, which corresponds to an estimate of the Functional 
Urban Region (FUR), is a complex issue. The definition of FURs varies according to the na-
tional and local context, although the FUR is very often identified as being an employment 
zone or a commuting area. 

There are variables for which the town / city is relevant (for example municipal expenditure 
and  provision  of  services  for  the  inhabitants  of  the  town  /  city)  and  others  for  which  only 
the FUR makes sense (for example GDP). There are also variables (such as crime, by way of 
example) which are difficult to render comparable from one country to another or from city 
to city. 

Statistics at a sub-city level are more a matter for the cities themselves. The bigger the city, 
the more relevant such statistics, as there are likely to be significant intra-city disparities. 
This is also the level at which the public will identify as it corresponds to neighbourhoods 
with their own individual characteristics. 

The approach of collecting data from existing sources makes it difficult and sometimes im-
possible to achieve comparability of variables over the entire “population”, i.e. the 189 Cities 
in  the  EU  (plus  69  in  Candidate  Countries).  The  National  Urban  Audit  Coordinators  tried 
hard to achieve comparability of urban data, at least within their own country. Wherever it 
was not possible, attempts were made to estimate the data; where this has been achieved it 
is noted in the database with a flag or free-text in the metadata of the UA database. 

198 

 
Regional and Urban Statistics – Reference Guide 2006 

Kernel (K) 

Applying the concept of the “Administrative City” to London and Paris does not yield compa-
rable  spatial  units.  “Greater  London”  (as  classified  at  the  NUTS  level  1  region  UKI,  has  a 
population of 7.2 Mio inhabitants), whereas “Paris” (as classified at the NUTS level 3 region 
FR101, has a population of 2.1 Mio inhabitants). 

To facilitate better comparison between the two largest cities in Europe and with other large 
cities, an additional spatial unit, the “Kernel” has been developed. 

For London, the Kernel consists of “Inner London”, which is roughly comparable to the (ad-
ministrative)  city  of  Paris  in  terms  of  size.  For  Paris,  the  Kernel  includes  the  first  “small 
ring”  of  “departments”  around  the  city.  The  table  below  explains  the  different  spatial  con-
cepts in London and Paris. It is to be noted that the “Kernel” corresponds to a different spa-
tial hierarchy in the two cities. 

Participating cities 

258  cities  out  of  27  countries  (25  Member  States,  plus  Bulgaria  and  Romania)  are  repre-
sented in the urban data collection. The first 2 letters of the code indicate the country of a 
given city. 

Code 

Name 

BE001C 

Bruxelles / Brussel 

BE002C 

Antwerpen 

BE003C 

Gent 

BE004C 

Charleroi 

BE005C 

Liège 

BE006C 

Brugge 

CZ001C 

Praha 

CZ002C 

Brno 

CZ003C 

Ostrava 

CZ004C 

Plzen 

CZ005C 

Usti nad Labem 

DK001C 

København 

DK002C 

Aarhus 

DK003C 

Odense 

DK004C 

Aalborg 

DE001C 

Berlin 

DE002C 

Hamburg 

DE003C 

München 

DE004C 

Köln 

DE005C 

Frankfurt am Main 

DE006C 

Essen 

DE008C 

Leipzig 

DE009C 

Dresden 

DE010C 

Dortmund 

DE011C 

Düsseldorf 

DE012C 

Bremen 

DE013C 

Hannover 

DE014C 

Nürnberg 

DE015C 

Bochum 

DE016C 

Wuppertal 

DE017C 

Bielefeld 

EE002C 

Tartu 

GR001C 

Athina 

GR002C 

Thessaloniki 

GR003C 

Patra 

GR004C 

Irakleio 

GR005C 

Larisa 

DE018C 

Halle an der Saale 

GR006C 

Ioannina 

DE019C 

Magdeburg 

DE020C 

Wiesbaden 

DE021C 

Göttingen 

GR007C 

Kavala 

GR008C 

Volos 

GR009C 

Kalamata 

DE022C 

Mülheim a.d.Ruhr 

ES001C 

Madrid 

DE023C 

Moers 

DE025C 

Darmstadt 

DE026C 

Trier 

ES002C 

Barcelona 

ES003C 

Valencia 

ES004C 

Sevilla 

DE027C 

Freiburg im Breisgau 

ES005C 

Zaragoza 

DE028C 

Regensburg 

ES006C 

Málaga 

DE029C 

Frankfurt (Oder) 

ES007C 

Murcia 

DE030C 

Weimar 

DE031C 

Schwerin 

DE032C 

Erfurt 

DE033C 

Augsburg 

DE034C 

Bonn 

DE035C 

Karlsruhe 

DE036C 

Mönchengladbach 

DE037C 

Mainz 

EE001C 

Tallinn 

ES008C 

Las Palmas 

ES009C 
ES010C 

Valladolid 
Palma di Mallorca 

ES011C 

Santiago de Compos-
tela 

ES012C 

Vitoria/Gasteiz 

ES013C 

Oviedo 

ES014C 

Pamplona/Iruña 

ES015C 

Santander 

ES016C 

Toledo 

199 

 
 
ES017C 

Badajoz 

ES018C 

Logroño 

FR001C 

FR003C 

Paris 

Lyon 

FR203C 

Marseille 

FR004C 

Toulouse 

FR205C 

Nice 

FR006C 

Strasbourg 

FR007C 

Bordeaux 

FR008C 

Nantes 

FR009C 

Lille 

FR010C 

Montpellier 

Regional and Urban Statistics – Reference Guide 2006 

IT012C 

Verona 

IT013C 

Cremona 

IT014C 

Trento 

IT015C 

Trieste 

IT016C 

Perugia 

IT017C 

Ancona 

IT018C 

l'Aquila 

IT019C 

Pescara 

PL009C 

Lublin 

PL010C 

Katowice 

PL011C 

Bialystok 

PL012C 

PL013C 

Kielce 

Torun 

PL014C 

Olsztyn 

PL015C 

Rzeszow 

PL016C 

Opole 

IT020C 

Campobasso 

PL017C 

Gorzow Wielkopolski 

IT021C 

Caserta 

IT022C 

Taranto 

IT023C 

Potenza 

PL018C 

Zielona Gora 

PL019C 

Jelenia Gora 

PL020C 

Nowy Sacz 

FR011C 

Saint-Etienne 

IT024C 

Catanzaro 

PL021C 

Suwalki 

FR012C 

Le Havre 

FR013C 

Rennes 

FR014C 

Amiens 

FR015C 

Rouen 

FR016C 

Nancy 

FR017C 

Metz 

FR018C 

Reims 

FR019C 

Orléans 

FR020C 

Dijon 

FR021C 

Poitiers 

IT025C 

Reggio di Calabria 

PL022C 

Konin 

IT026C 

Sassari 

IT027C 

Cagliari 

CY001C 

Lefkosia 

LV001C 

Riga 

LV002C 

Liepaja 

LT001C 

Vilnius 

LT002C 

Kaunas 

PL023C 

Zory 

PT001C 

Lisboa 

PT002C 

Oporto 

PT003C 

Braga 

PT004C 

Funchal 

PT005C 

Coimbra 

PT006C 

Setubal 

LT003C 

Panevezys 

PT007C 

Ponto Delgada 

LU001C 

Luxembourg 

PT008C 

Aveiro 

FR022C 

Clermont-Ferrand 

HU001C 

Budapest 

HU002C 

Miskolc 

SI001C 

Ljubljana 

SI002C 

Maribor 

FR023C 

Caen 

FR024C 

Limoges 

FR025C 

Besançon 

FR026C 

Grenoble 

FR027C 

Ajaccio 

HU003C 

Nyiregyhaza 

SK001C 

Bratislava 

HU004C 

Pecs 

SK002C 

Kosice 

NL001C 

s' Gravenhage 

SK003C 

Banska Bystrica 

NL002C 

Amsterdam 

SK004C 

Nitra 

FR028C 

Saint Denis 

NL003C 

Rotterdam 

FR029C 

Pointe-a-Pitre 

NL004C 

Utrecht 

FR030C 

Fort-de-France 

NL005C 

Eindhoven 

FR031C 

Cayenne 

IE001C 

Dublin 

IE002C 

Cork 

IE003C 

Limerick 

IE004C 

Galway  

IT001C 

Roma 

IT002C 

Milano  

IT003C 

Napoli 

IT004C 

Torino 

IT005C 

Palermo 

IT006C 

Genova 

IT007C 

Firenze 

IT008C 

Bari 

IT009C 

Bologna 

IT010C 

Catania 

IT011C 

Venezia 

NL006C 

Tilburg 

NL007C 

Groningen 

NL008C 

Enschede 

NL009C 

Arnhem 

NL010C 

Heerlen 

AT001C 

Wien 

AT002C 

AT003C 

Graz 

Linz 

PL001C 

Warszawa 

PL002C 

Lodz 

PL003C 

Krakow 

PL004C 

Wroclaw 

PL005C 

Poznan 

PL006C 

Gdansk 

PL007C 

Szczecin 

PL008C 

Bydgoszcz 

FI001C 

Helsinki 

FI002C 

Tampere 

FI003C 

Turku 

FI004C 

Oulu 

SE001C 

Stockholm 

SE002C 

Göteborg 

SE003C 

Malmö 

SE004C 

Jönköping 

SE005C 

Umeå 

UK001C 

London 

UK002C 

Birmingham 

UK003C 

Leeds 

UK004C 

Glasgow  

UK005C 

Bradford 

UK006C 

Liverpool 

UK007C 

Edinburgh  

UK008C 

Manchester 

UK009C 

Cardiff 

UK010C 

Sheffield 

200 

 
Regional and Urban Statistics – Reference Guide 2006 

UK011C 

Bristol 

UK012C 

Belfast 

UK023C 

Portsmouth 

UK024C 

Worcester 

UK013C 

Newcastle upon Tyne 

BG001C 

Sofia 

UK014C 

Leicester 

UK015C 

Derry 

UK016C 

Aberdeen 

UK017C 

Cambridge 

UK018C 

Exeter 

UK019C 

Lincoln 

BG002C 

Plovdiv 

BG003C 

Varna 

BG004C 

Burgas 

BG005C 

Pleven 

BG006C 

BG007C 

Ruse 

Vidin 

UK020C 

Gravesham 

RO001C 

Bucuresti 

RO004C 

Craiova 

RO005C 

Braila 

RO006C 

Oradea 

RO007C 

Bacau 

RO008C 

RO009C 

Arad 

Sibiu 

RO010C 

Targu Mures 

RO011C 

Piatra Neamt 

RO012C 

Calarasi 

RO013C 

Giurgiu 

UK021C 

Stevenage 

UK022C 

Wrexham 

RO002C 

Cluj-Napoca 

RO014C 

Alba Iulia 

RO003C 

Timisoara 

The following table shows the distribution of the different spatial units per country: 

Number of spatial units per countries 

Code 

City 

Kernel 

LUZ 

SCD level 1 

SCD level 2 

Country 

Belgium 

Czech Republic 

Denmark 

Germany 

Estonia 

Greece 

Spain 

France 

Ireland 

Italy 

Cyprus 

Latvia 

Lithuania 

Luxembourg 

Hungary 

Malta 

Netherlands 

Austria 

Poland 

Portugal 

Slovenia 

Slovakia 

Finland 

Sweden 

United Kingdom 

Sum 

Bulgaria 

Romania 

BE 

CZ 

DK 

DE 

EE 

EL 

ES 

FR 

IE 

IT 

CY 

LV 

LT 

LU 

HU 

MT 

NL 

AT 

PL 

PT 

SI 

SK 

FI 

SE 

UK 

EU25 

BG 

RO 

6 

5 

4 

35 

2 

9 

18 

31 

4 

27 

1 

2 

3 

1 

4 

2 

10 

3 

23 

8 

2 

4 

4 

5 

1 

6 

5 

4 

28 

2 

9 

18 

27 

3 

27 

1 

2 

3 

1 

4 

1 

10 

3 

22 

2 

2 

4 

4 

5 

24 

237

7 

14 

1 

2

20 

213

7 

14 

Sum EU25 + CC 

TOTAL 

258

2

234

0 

22 

0 

12 

8 

12 

0 

0 

0 

0 

0 

6 

0 

0 

24 

2 

0 

23 

31 

96 

0 

9 

23 

18 

33 

319

32 

6 

357

103 

87 

57 

605 

22 

119 

449 

826 

59 

561 

8 

35 

44 

7 

107 

21 

161 

81 

412 

100 

26 

39 

66 

81 

1202 

5278 

106 

328 

5712 

201 

 
 
 
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
Regional and Urban Statistics – Reference Guide 2006 

National level data 

For reasons of comparable analysis, national level data has been compiled – and presented 
– for the Urban Audit variables (mainly from the Eurostat NewCronos database). In a num-
ber  of  cases,  the  UA  variables  are  not  available  or  could  be  calculated  from  several  New-
Cronos variables. 

Variables 

Nine  different  areas  of  variables  have  been  defined.  The  coding  allows  identifying  its  con-
tent. The first two letters of the variables plus the following digit make an identification of 
the content easy. 

DE  

SA  

EC  

CI  

TE  

EN  

TT  

IT  

CR  

Demography 
DE1 
DE2 
DE3 

Population 
Nationality 
Household structure 

Social aspects 
Housing 
SA1 
Health 
SA2 
Crime 
SA3 

 Economic Aspects 
EC1 
EC2 
EC3 

Labour market 
Economic activity 
Income disparities and poverty 

Civic involvement 
CI1 
CI2 

Civic involvement 
Local administration 

Training and education 
TE1 
TE2 

Education and training provision 
Educational qualifications 

Environment 
EN1 
EN2 
EN3 
EN4 
EN5 
EN6 

Climate/Geography 
Air quality and noise 
Water 
Waste management 
Land use 
Energy use 

Travel and transport 
Travel patterns 
TT1 

Information society 
IT1 
IT2 
IT3 

Users and infrastructure 
Local e-Government 
ICT sector 

Culture and recreation 
CR1 
CR2 

Culture & recreation 
Tourism 

202 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

Indicators 

The indicators have been calculated by Eurostat based on the variable data set. The exact 
calculation algorithms are listed below with the detailed table description. 

For  indicators,  only  the  reference  periods  in  the  TIME  dimension  are  indicated,  but  there 
are no reference years in the dimension INFO, as the indicators are not necessarily calcu-
lated from variables of the same year; this depended on their availability. 

Reference periods 

Three reference periods have been defined for the data set:  

1989 to 1993,  
1994 to 1998 and  
1999 to 2003.  

They  have  been  created  in  order  to  allow  data  comparison  -  especially  for  the  indicators  – 
even if not all the data could be collected for the same year. 

2001 is the reference year for the main data collection, 1996 and 1991 are the years refer-
enced for historical data collection. The preferences for the reference period (depending on 
availability) has been fixed as t, t+1, t-1, t+2, t-2 (t = 2001, 1996 or 1991). 

Perception survey 

The citizen’s perception of quality of life within “their” city is important information. Percep-
tion indicators are the result of opinion polls among a representative random sample of 300 
inhabitants of the city in question. 

Collecting information on perception indicators remains a costly operation despite the adop-
tion of a sample survey and the use of telephone interviews as the data collection method. 
This explains why the perception survey was limited to a selection of interesting topics for 
the Urban Audit. It is also the reason why only some 31 Urban Audit Cities could be cho-
sen.  This  situation  may  change  in  the  future  if  close  co-operation  with  the  cities  is  estab-
lished. 

The following perception indicators were reported in the Urban Audit: 

1.  Perception of integration of foreigners 

2.  Perception of housing market 

3.  Perception of health services 

4.  Perception of safety in the city 

5.  Perception of employment opportunities 

6.  Perception of financial well-being 

7.  Perception of the quality of local administration services  

8.  Perception of education quality 

9.  Perception of education facilities 

10. Perception of air quality 

11. Perception of green space provision 

12. Perception of the public transport quality 

203 

 
Regional and Urban Statistics – Reference Guide 2006 

13. Perception of the quality of the ICT infrastructure 

14. Perception of the quality and quantity of cultural facilities 

15. Perception of the quality and quantity of cultural events 

16. Perception of the quality and quantity of sports facilities 

As already mentioned, the data are the result of telephone interviews with a representative 
sample of 300 citizens in the 31 cities. The interviews were carried out by GALLUP institu-
tions in the 15 EU-Member States during the period 5th to 16th January 2004. 

2.  Eurostat publications 

Urban Audit Methodological Handbook, May 2004 

3.  Data sources 

Most of the urban statistics variable data have been sent by National Statistical Offices. 

National data mostly have been derived from other sources within NewCronos, provided by 
National Statistical Offices. 

The indicator tables have been calculated by Eurostat, based on the variables. 

4.  Legal base 

All data supply of urban statistics is based on a voluntary agreement, as there is no com-
munity legislation on this topic yet. 

5.  Contact person 

The contact person for urban statistics is Mr Berthold Huber, e-mail: 

Berthold.Huber@cec.eu.int  

For  methodological  questions  please  contact  Ms.  Teodora  Brandmüller,  email: 

Teodora.Brandmueller@cec.eu.int 

6.  List of tables 

city_v 
luz_v 
city_i 
luz_i 
scd_i 
percep 

Variables for core city and "Kernel" plus national data 
Variables for larger urban zones 
Indicators for core city and "Kernel" plus national data 
Indicators for larger urban zones 
Indicators for sub-city districts at 2 levels 
Perception survey results 

204 

 
 
 
Regional and Urban Statistics – Reference Guide 2006 

7.  Detailed description 

Please note:  

In order to find the coding and names of the participating cities, check the 
paragraph ‘Participating cities’ above. 

The  participating  Larger  Urban  Zones  (LUZ)  are  mostly  equivalent  to  the 
cities  (codes  ending  with  ‘L’  instead  of  ‘C’)  with  very  few  exceptions  in 
some countries. 

The  Sub-City  Districts  (SCD)  only  have  codes,  but  no  names.  Their  large 
number does not allow listing them all here. 

A. Variables 

city_v 

Dimensions: 

Urban Audit variables for core city and "Kernel" plus national data 

1. 

2. 

TIME  

Period of time: 
1989 – 1993 
1994 – 1998 
1999 – 2003 
INDIC_UR  Urban audit city variables: 

code 

Variable  

DE1001V 

Total Resident Population 

DE1002V  Male Resident Population  

DE1003V 

Female Resident Population  

DE1040V 

Total Resident Population 0-4 

DE1041V  Male Resident Population 0-4 

DE1042V 

Female Resident Population 0-4  

DE1043V 

Total Resident Population 5-14 

DE1044V  Male Resident Population 5-14  

DE1045V 

Female Resident Population 5-14  

DE1046V 

Total Resident Population 15-19 

DE1047V  Male Resident Population 15-19  

DE1048V 

Female Resident Population 15-19  

DE1049V 

Total Resident Population 20-24 

DE1050V  Male Resident Population 20-24  

DE1051V 

Female Resident Population 20-24  

DE1052V 

Total Resident Population 25-54 

DE1053V  Male Resident Population 25-54  

DE1054V 

Female Resident Population 25-54  

DE1025V 

Total Resident Population 55-64 

DE1026V  Male Resident Population 55-64 

205 

 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

DE1027V 

Female Resident Population 55-64  

DE1028V 

Total Resident Population 65-74 

DE1029V  Male Resident Population 65-74  

DE1030V 

Female Resident Population 65-74  

DE1055V 

Total Resident Population 75 and over 

DE1056V  Male Resident Population 75 and over  

DE1057V 

Female Resident Population 75 and over 

DE2001V 

Residents who are Nationals 

DE2002V 

Residents who are Nationals of other EU Member State 

DE2003V 

Residents who are not EU Nationals 

DE2004V 

Nationals born abroad 

DE3001V 

Total Number of Households 

DE3002V 

One person households (Total) 

DE3005V 

Lone parent households (Total) 

DE3006V 

Lone parent households (Male ) 

DE3007V 

Lone parent households (Female) 

DE3008V 

Lone pensioner (above retirement age) households Total  

DE3009V 

Lone pensioner (above retirement age) households Male 

DE3010V 

Lone pensioner (above retirement age) households Female 

DE3011V 

Households with children aged 0 to under 18 

DE3012V 

Nationals that have moved into the city during the last two years 

DE3013V 

EU Nationals that have moved into the city during the last two years 

DE3014V 

Non-EU Nationals that have moved into the city during the last two years 

SA1001V 

Number of dwellings 

SA1004V 

Number of houses 

SA1005V 

Number of apartments 

SA1007V 

Number of households living in houses 

SA1008V 

Number of households living in apartments 

SA1011V 

Households owning their own dwelling 

SA1012V 

Households in social housing 

SA1013V 

Households in private rented housing 

SA1015V 

Number of homeless persons  

SA1016V 

Average price for an apartment per m2  

SA1023V 

Average price for a house per m2  

SA1017V 

Annual rent for social housing per m2 

SA1021V 

Average annual rent for an apartment per m2 

SA1024V 

Average annual rent for a house per m2 

SA1018V 

Dwellings lacking basic amenities 

SA1019V 

Average occupancy per occupied dwelling 

SA1025V 

Empty conventional dwellings 

SA1026V 

Non-conventional dwellings 

SA1022V 

Average area of living accommodation (m2 per person) 

SA2001V 

Life expectancy at birth  

SA2002V  Male life expectancy at birth  

SA2003V 

Female life expectancy at birth  

SA2004V 

Infant Mortality per year 

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Regional and Urban Statistics – Reference Guide 2006 

SA2005V  Male Infant Mortality per year 

SA2006V 

Female Infant Mortality per year 

SA2007V 

Number of live births per year 

SA2008V 

Number of live births per year (Male) 

SA2009V 

Number of live births per year (Female) 

SA2013V 

Number of deaths per year under 65 due to heart diseases and respiratory illness 

SA2014V 

Number of deaths per year under 65 due to heart diseases and respiratory illness 

(Male) 

SA2015V 

Number of deaths per year under 65 due to heart diseases and respiratory illness 

(Female) 

SA2016V 

Total deaths under 65 per year 

SA2017V 

Total deaths under 65 per year (Male) 

SA2018V 

Total deaths under 65 per year (Female) 

SA2019V 

Total deaths per year 

SA2020V 

Total deaths per year (Male) 

SA2021V 

Total deaths per year (Female) 

SA2022V 

Number of hospital beds  

SA2025V 

Number of hospital patients  

SA2023V 

Number of doctors (FTE) 

SA2024V 

Number of dentists (FTE) 

SA3001V 

Total number of recorded crimes within city [country for national data] 

SA3005V 

Number of murders and violent deaths  

SA3006V 

Number of car thefts  

EC1001V 

Total Economically Active Population  

EC1002V  Male Economically Active Population  

EC1003V 

Female Economically Active Population  

EC1142V 

Total Economically Active Population 15-24 

EC1143V  Male Economically Active Population 15-24  

EC1144V 

Female Economically Active Population 15-24 

EC1145V 

Total Economically Active Population 55-64  

EC1146V  Male Economically Active Population 55-64  

EC1147V 

Female Economically Active Population 55-64  

EC1010V 

Residents Unemployed  

EC1011V  Male Residents Unemployed 

EC1012V 

Female Residents Unemployed  

EC1148V 

Residents Unemployed 15-24  

EC1149V  Male Residents Unemployed 15-24  

EC1150V 

Female Residents Unemployed 15-24  

EC1151V 

Residents Unemployed 55-64  

EC1152V  Male Residents Unemployed 55-64  

EC1153V 

Female Residents Unemployed 55-64  

EC1154V 

Unemployed continuously for more than six months, 15-24 

EC1155V  Male unemployed continuously for more than six months, 15-24  

EC1156V 

Female unemployed continuously for more than six months, 15-24  

EC1157V 

Unemployed continuously for more than one year, 55-64 

EC1158V  Male unemployed continuously for more than one year, 55-64  

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Regional and Urban Statistics – Reference Guide 2006 

EC1159V 

Female unemployed continuously for more than one year, 55-64 

EC1025V 

Residents in Self Employment 

EC1026V  Male residents in Self Employment  

EC1027V 

Female residents in Self Employment 

EC1028V 

Residents in Paid Employment 

EC1029V  Male residents in Paid Employment  

EC1030V 

Female residents in Paid Employment 

EC1034V 

Total Full-Time Employment  

EC1035V  Male Full-Time Employment  

EC1036V 

Female Full-Time Employment  

EC1088V 

Total Part-Time Employment  

EC1089V  Male Part-Time Employment  

EC1090V 

Female Part-Time Employment 

EC1160V 

Total Full-Time Employment 15-24 

EC1161V 

Full-Time Employment 15-24 Male 

EC1162V 

Full-Time Employment 15-24 Female 

EC1163V 

Total Full-Time Employment 55-64 

EC1164V 

Full-Time Employment 55-64 Male 

EC1165V 

Full-Time Employment 55-64 Female  

EC1166V 

Total Part-Time Employment 15-24  

EC1167V 

Part-Time Employment 15-24 Male  

EC1168V 

Part-Time Employment 15-24 Female 

EC1169V 

Total Part-Time Employment 55-64  

EC1170V 

Part-Time Employment 55-64 Male  

EC1171V 

Part-Time Employment 55-64 Female  

EC2001V 

Gross Domestic Product of city / region / country 

EC2002V 

Total resident population of area [country] relating to reported GDP 

EC2015V 

Total employment of area [country] relating to reported GDP 

EC2021V 

All companies  

EC2003V 

Companies with headquarter within the city [country] quoted on national stock ex-

change 

EC2004V 

New business registered in reference year 

EC2014V 

Companies gone bankrupt in reference year 

EC2006V 

Total net office floorspace 1st January 

EC2013V 

Vacant net office floorspace 1st Jaunuary 

EC2020V 

Total employment / jobs (work place based)  

EC2008V 

Employment (jobs) in agriculture, fishery (NACE Rev. 1: A-B) & ESA95 A3 

EC2009V 

Employment (jobs) in mining, manufacturing, energy (NACE Rev. 1: C-E) 

EC2022V 

Employment (jobs) inconstruction (NACE Rev. 1: F) 

EC2010V 

Employment (jobs) in trade, hotels, restaurants (NACE Rev. 1: G-H) 

EC2023V 

Employment (jobs) in transport, communication (NACE Rev. 1: I) 

EC2011V 

Employment (jobs) financial intermediation, business activities (NACE Rev. 1: J-K) 

EC2012V 

Employment (jobs) in public admin., health, education, other (NACE Rev. 1: L-P) 

EC2016V 

Employment (jobs) in Nace Rev. 1 C-F (ESA95 A3) 

EC2017V 

Employment (jobs) in Nace Rev. 1 G-P (ESA95 A3) 

EC2018V 

Employment (jobs) - employees 

208 

 
Regional and Urban Statistics – Reference Guide 2006 

EC2019V 

Employment (jobs) - self employed 

EC3039V  Median disposable annual household income 

EC3045V 

Household Income: Quintile 4 (income with 20% households above, 80% below) 

EC3048V 

Household Income: Quintile 3 (income with 40% households above, 60% below) 

EC3051V 

Household Income: Quintile 2 (income with 60% households above, 40% below) 

EC3054V 

Household Income: Quintile 1 (income with 80% households above, 20% below) 

EC3057V 

Total Number of Households with less than half of the national average income 

EC3060V 

Total Number of Households reliant on social security benefits (>50%) 

EC3063V 

Individuals reliant on social security benefits (>50%) 

CI1001V 

European Elections: Total electorate (eligible) 

CI1002V 

European Elections: Total electorate (registered) 

CI1003V 

European Elections: Total votes counted 

CI1004V 

National Elections: Total electorate (eligible) 

CI1005V 

National Elections: Total electorate (registered) 

CI1006V 

National Elections: Total votes counted 

CI1007V 

City Elections: Total electorate (eligible) 

CI1008V 

City Elections: Total electorate (registered) 

CI1009V 

City Elections: Total votes counted 

CI1011V 

City Elections: Electorate aged less than 25 

CI1010V 

City Elections: Total votes counted by voters aged less than 25 

CI1016V 

Total number of elected city representatives  

CI1017V 

Number of Male elected city representatives  

CI1018V 

Number of Female elected city representatives 

CI2001V 

Total Municipality Authority Income 

CI2002V 

Municipality Authority Income derived from local taxation 

CI2003V 

Municipality Authority Income transfered from national or regional government 

CI2004V 

Municipality Authority Income derived from charges for services 

CI2005V 

Municipality Authority Income derived from other sources 

CI2006V 

Total Municipality Authority Expenditure  

CI2007V 

Total number of persons directly employed by the local administration 

CI2008V 

Number of persons directly employed by the local administration in central admini-

stration 

CI2009V 

Number of persons directly employed by the local administration in education 

CI2010V 

Number of persons directly employed by the local administration in health and social 

services 

CI2011V 

Number of persons directly employed by the local administration in public transport 

CI2013V 

Number of persons directly employed by the local administration in other 

TE1001V 

Number of children 0-4 in day care 

TE1002V 

Number of children 0-4 in private day care  

TE1003V 

Number of children 0-4 in public day care  

TE1029V 

Number of children 0-4 in other day care e.g. Church 

TE1005V 

Total students registered for final year of compulsory education 

TE1030V 

Students leaving compulsory education without having a diploma  

TE1017V 

Students continuing education after completing compulsory education 

TE1018V 

Male students continuing education after completing compulsory education 

TE1019V 

Female students continuing education after completing compulsory education 

209 

 
Regional and Urban Statistics – Reference Guide 2006 

TE1031V 

Students in upper and further education (ISCED level 3-4)  

TE1032V 

Male students in upper and further education (ISCED level 3-4)  

TE1033V 

Female students in upper and further education (ISCED level 3-4)  

TE1026V 

Students in higher education (ISCED level 5-6)  

TE1027V 

Male students in higher education (ISCED level 5-6)  

TE1028V 

Female students in higher education (ISCED level 5-6)  

TE2016V 

Total number of residents qualified at ISCED level 1 

TE2017V 

Number of Male residents qualified at ISCED level 1 

TE2018V 

Number of Female residents qualified at ISCED level 1 

TE2001V 

Total number of residents qualified at ISCED level 2 

TE2002V 

Number of male residents qualified at ISCED level 2 

TE2003V 

Number of female residents qualified at ISCED level 2 

TE2019V 

Total number of residents qualified at ISCED levels 3 and 4 

TE2020V 

Number of male residents qualified at ISCED levels 3 and 4 

TE2021V 

Number of female residents qualified at ISCED levels 3 and 4 

TE2022V 

Total number of residents qualified at ISCED levels 5 and 6 

TE2023V 

Number of male residents qualified at ISCED levels 5 and 6 

TE2024V 

Number of female residents qualified at ISCED levels 5 and 6 

EN1003V 

Average temperature of warmest month  

EN1004V 

Average temperature of coldest month  

EN1005V 

Rainfall (litre/m2)  

EN1001V 

Number of days of rain per annum  

EN1002V 

Total number of hours of sunshine per day  

EN2001V  Winter Smog: Number of days sulphur dioxide SO2 concentrations exceed 125 µg/m3 

EN2002V 

Summer Smog: Number of days ozone O3 concentrations exceed 120 µg/m3  

EN2003V 

Number of days nitrogen dioxide NO2 concentrations exceed 200 µg/m3 

EN2005V 

Number of days particulate matter PM10 concentrations exceed 50 µg/m3  

EN2006V 

Concentration of lead Pb in ambient air in µg/m3  

EN2007V 

Number of residents exposed to outdoor day noise levels above 55 dB(A)  

EN2008V 

Number of residents exposed to sleep disturbing outdoor night noise levels above 45 

dB(A)  

EN2014V 

Total carbon dioxide CO2 emissions 

EN2009V 

Total carbon monoxide CO emissions  

EN2010V 

Total methane CH4 emissions  

EN2011V 

Total non-methane volatile organic compounds NVOC emissions  

EN2012V 

Total sulphur dioxide SO2 emissions 

EN2013V 

Total nitrogen dioxide NO2 emissions  

EN3001V 

Total number of annual tests (on all parameters) on drinking water quality  

EN3002V 

Number of annual determinations which exceed the prescribed concentration values  

EN3003V 

Total consumption of water  

EN3004V 

Number of dwellings connected to potable drinking water system 

EN3006V 

Number of dwellings connected to sewerage treatment system 

EN3008V 

Number of water rationing cases, days per year  

EN3009V 

Number of scheduled water cuts, days per year  

EN4001V 

Annual amount of solid waste (domestic and commercial)  

EN4002V 

Annual amount of solid waste (domestic and commercial) processed by landfill. 

210 

 
Regional and Urban Statistics – Reference Guide 2006 

EN4003V 

Annual amount of solid waste (domestic and commercial) is processed by incinerator 

EN4004V 

Annual amount of solid waste (domestic and commercial) that is recycled 

EN4006V 

Annual amount of solid waste (domestic and commercial) given to other disposal 

EN4005V 

Annual amount of toxic waste  

EN5003V 

Total land area (km2) according to cadastral register 

EN5015V  Water and wetland 

EN5012V 

Green space area 

EN5016V 

Land used for agricultural purposes 

EN5017V 

Land area in mineral extraction 

EN5018V 

Land area in industrial and manufactory use 

EN5019V 

Land area in road network use 

EN5020V 

Land area in rail network use 

EN5008V 

Land area in ports use 

EN5009V 

Land area in airports use 

EN5021V 

Land area in water treatment use 

EN5022V 

Land area in waste disposal use 

EN5023V 

Land area in commerce, finance and business use 

EN5011V 

Land area in recreational, sports and leisure use 

EN5004V 

Land area in housing/residential use 

EN5013V 

Unused areas, including contaminated or derelict land areas 

EN5014V 

Urban area subject to special /physical planning conservation measures 

EN5001V 

Green space to which the public has access  

EN5002V 

Population within 15 minutes walking distance of urban green areas 

EN6030V 

Total petrol and gasoline use for private heating 

EN6031V 

Total petrol use for private and commercial transport 

EN6010V 

Total electricity use 

EN6011V 

Total electricity use by the transport sector 

EN6012V 

Total electricity use by the industrial sector 

EN6013V 

Total electricity use by the domestic sector 

EN6014V 

Total electricity use by the commercial (service) sector 

EN6015V 

Total natural gas use  

TT1002V 

Percentage of journeys to work by rail/metro  

TT1003V 

Percentage of journeys to work by car  

TT1004V 

Percentage of journeys to work by bus  

TT1005V 

Percentage of journeys to work by tram  

TT1006V 

Percentage of journeys to work by motor cycle  

TT1007V 

Percentage of journeys to work by bicycle  

TT1008V 

Percentage of journeys to work by foot  

TT1009V 

Percentage of journeys to work by other modes  

TT1019V 

Average time of journey to work (minutes) 

TT1062V 

Average speed of inner-city car traffic (km/hour) during the rush hour 

TT1063V 

Average waiting time for a bus (minutes) in the rush hour 

TT1064V 

People commuting into the city 

TT1065V 

People commuting out of the city 

TT1066V 

Length of public transport network (km) 

TT1068V 

Total kilometre driven in public transport (per day) 

211 

 
Regional and Urban Statistics – Reference Guide 2006 

TT1067V 

Public transport supply: Number of places times kilometre driven 

TT1057V 

Number of private cars registered 

TT1058V 

Road accidents resulting in death or serious injury  

TT1059V 

Average number of occupants of motor cars  

TT1071V 

Accessiblity by air (EU27=100) 

TT1072V 

Accessiblity by rail (EU27=100) 

TT1073V 

Accessiblity by road (EU27=100) 

TT1074V  Multimodal accessibility (EU27=100) 

IT1001V 

Number of households with a PC 

IT1002V 

Percent of population over 15 years who regularly use the Internet 

IT1004V 

Number of telephony main lines within the city [country for national data] 

IT1010V 

Households with broad band access 

IT1005V 

Percentage of households with Internet access at home 

IT1006V 

Computers per 100 pupils at primary education level  

IT1007V 

Computers per 100 pupils at secondary education level  

IT1008V 

Number of students of ICT at university level or equivalent 

IT1009V 

Number of public Internet access points (PIAPs) 

IT2001V 

Official city Internet web site (Yes/No) 

IT2002V 

Number of visits to official city Internet web site  

IT2003V 

Number of administrative forms available for download from official web site 

IT2004V 

Number of administrative forms which can be submitted electronically 

IT3001V 

Number of local units manufacturing ICT products 

IT3002V 

Number of persons employed in manufacture of ICT products 

IT3003V 

Number of local units providing ICT services 

IT3004V 

Number of persons employed in provision of ICT services 

IT3005V 

Number of local units producing content for the Information Society 

IT3006V 

Number of persons employed in production of content for the Information Society 

CR1001V 

Concerts (per year) 

CR1002V 

Concert attendance (per year) 

CR1012V 

Number of concert seats 

CR1003V 

Number of cinema seats ( total capacity) 

CR1005V 

Cinema attendance (per year) 

CR1006V 

Number of museums 

CR1007V 

Number of museum visitors (per year) 

CR1008V 

Number of theatres 

CR1013V 

Number of theatre seats 

CR1009V 

Theatre attendance (per year) 

CR1010V 

Number of public libraries (all distribution points) 

CR1011V 

Number of books and other media loaned from public libraries (per year) 

CR2001V 

Total annual tourist overnight stays in registered accommodation 

CR2009V 

Number of available beds 

CR2004V 

Number of air passengers using nearest airport 

CR2005V 

Number of air passengers using nearest airport: Total arrivals  

CR2006V 

Number of air passengers using nearest airport: Domestic arrivals 

CR2007V 

Number of air passengers using nearest airport: Total departures  

CR2008V 

Number of air passengers using nearest airport: Domestic departures 

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Regional and Urban Statistics – Reference Guide 2006 

3. 

4. 

CITIES 

INFO 

luz_v 

Dimensions: 

1. 

TIME  

Geopolitical entity: 
City code 
Information: 
value 
ref_year 
flags 

Name of city 

Actual figure 
Reference year 
Flags 

Urban Audit variables for larger urban zones 

Period of time: 
1989 – 1993 
1994 – 1998 
1999 – 2003 

2. 

INDIC_UR  Urban audit larger urban zone variables: 

Variable 
code 

Variable Explanation 

DE1001V 

Total Resident Population 

DE1002V 

Male Resident Population  

DE1003V 

Female Resident Population  

DE1040V 

Total Resident Population 0-4 

DE1041V 

Male Resident Population 0-4 

DE1042V 

Female Resident Population 0-4  

DE1043V 

Total Resident Population 5-14 

DE1044V 

Male Resident Population 5-14  

DE1045V 

Female Resident Population 5-14  

DE1046V 

Total Resident Population 15-19 

DE1047V 

Male Resident Population 15-19  

DE1048V 

Female Resident Population 15-19  

DE1049V 

Total Resident Population 20-24 

DE1050V 

Male Resident Population 20-24  

DE1051V 

Female Resident Population 20-24  

DE1052V 

Total Resident Population 25-54 

DE1053V 

Male Resident Population 25-54  

DE1054V 

Female Resident Population 25-54  

DE1025V 

Total Resident Population 55-64 

DE1026V 

Male Resident Population 55-64 

DE1027V 

Female Resident Population 55-64  

DE1028V 

Total Resident Population 65-74 

DE1029V 

Male Resident Population 65-74  

DE1030V 

Female Resident Population 65-74  

DE1055V 

Total Resident Population 75 and over 

DE1056V 

Male Resident Population 75 and over  

DE1057V 

Female Resident Population 75 and over 

213 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

DE2001V 

Residents who are Nationals 

DE2002V 

Residents who are Nationals of other EU Member State 

DE2003V 

Residents who are not EU Nationals 

DE2004V 

Nationals born abroad 

DE3001V 

Total Number of Households 

DE3002V 

One person households (Total) 

DE3005V 

Lone parent households (Total) 

DE3006V 

Lone parent households (Male ) 

DE3007V 

Lone parent households (Female) 

DE3008V 

Lone pensioner (above retirement age) households Total  

DE3009V 

Lone pensioner (above retirement age) households Male 

DE3010V 

Lone pensioner (above retirement age) households Female 

DE3011V 

Households with children aged 0 to under 18 

SA1001V 

Number of dwellings 

SA1004V 

Number of houses 

SA1005V 

Number of apartments 

SA1007V 

Number of households living in houses 

SA1008V 

Number of households living in apartments 

SA1011V 

Households owning their own dwelling 

SA1012V 

Households in social housing 

SA1013V 

Households in private rented housing 

SA1016V 

Average price for an apartment per m2  

SA1023V 

Average price for a house per m2  

SA1017V 

Annual rent for social housing per m2 

SA1021V 

Average annual rent for an apartment per m2 

SA1024V 

Average annual rent for a house per m2 

SA1018V 

Dwellings lacking basic amenities 

SA1019V 

Average occupancy per occupied dwelling 

SA1025V 

Empty conventional dwellings 

SA1026V 

Non-conventional dwellings 

SA1022V 

Average area of living accommodation (m2 per person) 

SA2001V 

Life expectancy at birth  

SA2002V 

Male life expectancy at birth  

SA2003V 

Female life expectancy at birth  

SA2004V 

Infant Mortality per year 

SA2005V 

Male Infant Mortality per year 

SA2006V 

Female Infant Mortality per year 

SA2007V 

Number of live births per year 

SA2008V 

Number of live births per year (Male) 

SA2009V 

Number of live births per year (Female) 

SA2013V 

Number of deaths per year under 65 due to heart diseases and respiratory illness 

SA2014V 

Number of deaths per year under 65 due to heart diseases and respiratory illness 

(Male) 

SA2015V 

Number of deaths per year under 65 due to heart diseases and respiratory illness 

(Female) 

SA2016V 

Total deaths under 65 per year 

214 

 
Regional and Urban Statistics – Reference Guide 2006 

SA2017V 

Total deaths under 65 per year (Male) 

SA2018V 

Total deaths under 65 per year (Female) 

SA2019V 

Total deaths per year 

SA2020V 

Total deaths per year (Male) 

SA2021V 

Total deaths per year (Female) 

SA2022V 

Number of hospital beds  

SA2025V 

Number of hospital patients  

SA2023V 

Number of doctors (FTE) 

SA2024V 

Number of dentists (FTE) 

SA3001V 

Total number of recorded crimes within city [country for national data] 

SA3005V 

Number of murders and violent deaths  

SA3006V 

Number of car thefts  

EC1001V 

Total Economically Active Population  

EC1002V 

Male Economically Active Population  

EC1003V 

Female Economically Active Population  

EC1142V 

Total Economically Active Population 15-24 

EC1143V 

Male Economically Active Population 15-24  

EC1144V 

Female Economically Active Population 15-24 

EC1145V 

Total Economically Active Population 55-64  

EC1146V 

Male Economically Active Population 55-64  

EC1147V 

Female Economically Active Population 55-64  

EC1010V 

Residents Unemployed  

EC1011V 

Male Residents Unemployed 

EC1012V 

Female Residents Unemployed  

EC1148V 

Residents Unemployed 15-24  

EC1149V 

Male Residents Unemployed 15-24  

EC1150V 

Female Residents Unemployed 15-24  

EC1151V 

Residents Unemployed 55-64  

EC1152V 

Male Residents Unemployed 55-64  

EC1153V 

Female Residents Unemployed 55-64  

EC1154V 

Unemployed continuously for more than six months, 15-24 

EC1155V 

Male unemployed continuously for more than six months, 15-24  

EC1156V 

Female unemployed continuously for more than six months, 15-24  

EC1157V 

Unemployed continuously for more than one year, 55-64 

EC1158V 

Male unemployed continuously for more than one year, 55-64  

EC1159V 

Female unemployed continuously for more than one year, 55-64 

EC2001V 

Gross Domestic Product of city / region / country 

EC2002V 

Total resident population of area [country] relating to reported GDP 

EC2015V 

Total employment of area [country] relating to reported GDP 

EC3039V 

Median disposable annual household income 

EC3045V 

Household Income: Quintile 4 (income with 20% households above, 80% below) 

EC3048V 

Household Income: Quintile 3 (income with 40% households above, 60% below) 

EC3051V 

Household Income: Quintile 2 (income with 60% households above, 40% below) 

EC3054V 

Household Income: Quintile 1 (income with 80% households above, 20% below) 

EC3057V 

Total Number of Households with less than half of the national average income 

EC3060V 

Total Number of Households reliant on social security benefits (>50%) 

215 

 
Regional and Urban Statistics – Reference Guide 2006 

EC3063V 

Individuals reliant on social security benefits (>50%) 

TE1001V 

Number of children 0-4 in day care 

TE1002V 

Number of children 0-4 in private day care  

TE1003V 

Number of children 0-4 in public day care  

TE1029V 

Number of children 0-4 in other day care e.g. Church 

TE1005V 

Total students registered for final year of compulsory education 

TE1030V 

Students leaving compulsory education without having a diploma  

TE1017V 

Students continuing education after completing compulsory education 

TE1018V 

Male students continuing education after completing compulsory education 

TE1019V 

Female students continuing education after completing compulsory education 

TE2016V 

Total number of residents qualified at ISCED level 1 

TE2017V 

Number of Male residents qualified at ISCED level 1 

TE2018V 

Number of Female residents qualified at ISCED level 1 

TE2001V 

Total number of residents qualified at ISCED level 2 

TE2002V 

Number of male residents qualified at ISCED level 2 

TE2003V 

Number of female residents qualified at ISCED level 2 

TE2019V 

Total number of residents qualified at ISCED levels 3 and 4 

TE2020V 

Number of male residents qualified at ISCED levels 3 and 4 

TE2021V 

Number of female residents qualified at ISCED levels 3 and 4 

TE2022V 

Total number of residents qualified at ISCED levels 5 and 6 

TE2023V 

Number of male residents qualified at ISCED levels 5 and 6 

TE2024V 

Number of female residents qualified at ISCED levels 5 and 6 

EN5003V 

Total land area (km2) according to cadastral register 

EN5015V 

Water and wetland 

EN5012V 

Green space area 

EN5016V 

Land used for agricultural purposes 

EN5017V 

Land area in mineral extraction 

EN5018V 

Land area in industrial and manufactory use 

EN5019V 

Land area in road network use 

EN5020V 

Land area in rail network use 

EN5008V 

Land area in ports use 

EN5009V 

Land area in airports use 

EN5021V 

Land area in water treatment use 

EN5022V 

Land area in waste disposal use 

EN5023V 

Land area in commerce, finance and business use 

EN5011V 

Land area in recreational, sports and leisure use 

EN5004V 

Land area in housing/residential use 

EN5013V 

Unused areas, including contaminated or derelict land areas 

EN5014V 

Urban area subject to special /physical planning conservation measures 

EN5001V 

Green space to which the public has access  

EN5002V 

Population within 15 minutes walking distance of urban green areas 

TT1002V 

Percentage of journeys to work by rail/metro  

TT1003V 

Percentage of journeys to work by car  

TT1004V 

Percentage of journeys to work by bus  

TT1005V 

Percentage of journeys to work by tram  

TT1006V 

Percentage of journeys to work by motor cycle  

216 

 
Regional and Urban Statistics – Reference Guide 2006 

TT1007V 

Percentage of journeys to work by bicycle  

TT1008V 

Percentage of journeys to work by foot  

TT1009V 

Percentage of journeys to work by other modes  

TT1019V 

Average time of journey to work (minutes) 

TT1063V 

Average waiting time for a bus (minutes) in the rush hour 

TT1066V 

Length of public transport network (km) 

TT1057V 

Number of private cars registered 

TT1058V 

Road accidents resulting in death or serious injury  

TT1071V 

Accessiblity by air (EU27=100) 

TT1072V 

Accessiblity by rail (EU27=100) 

TT1073V 

Accessiblity by road (EU27=100) 

TT1074V 

Multimodal accessibility (EU27=100) 

3. 

4. 

CITIES 

INFO 

Geopolitical entity: 
LUZ code 
Information: 
value 
ref_year 
flags 

Name of the Larger Urban Zone 

Actual figure 
Reference year 
Flags 

B. Indicators 

city_i 

Dimensions: 

1. 

TIME  

Urban Audit indicators for core city and "Kernel" plus national data 

Period of time: 
1989 – 1993 
1994 – 1998 
1999 – 2003 

2. 

INDIC_UR  Urban audit city indicators: 

Code 

Indicator description 

Numerator 

DE1001I 

Total resident population 

DE1011I 

Total population of working age 

DE1040I 

Proportion of total population aged 0-4 

DE1043I 

Proportion of total population aged 5-14 

DE1046I 

Proportion of total population aged 15-19 

DE1049I 

Proportion of total population aged 20-24 

DE1052I 

Proportion of total population aged 25-54 

DE1025I 

Proportion of total population aged 55-64 

DE1028I 

Proportion of total population aged 65-74 

DE1001V 

DE1046V + 

DE1049V + 

DE1052V + 

DE1025V 

DE1040V 

DE1043V 

DE1046V 

DE1049V 

DE1052V 

DE1025V 

DE1028V 

Denomi-
nator 

- 

- 

DE1001V 

DE1001V 

DE1001V 

DE1001V 

DE1001V 

DE1001V 

DE1001V 

217 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

DE1055I 

Proportion of total population aged 75 and over 

DE1003I 

Proportion of females to males in total population 

DE1057I 

Proportion of females to males - aged 75 and over 

DE1055V 

DE1003V 

DE1057V 

DE1001V 

DE1002V 

DE1056V 

DE1061I 

Total population change over 1 year 

DE1001V (t) 

DE1001V (t-

1) 

DE1062I 

Total annual population change over 5 years 

DE1001V (t) 

nSQR(DE100

DE1058I 

Demographic dependency: (<20 + >65) / 20-64 years 

DE1059I 

Demogr. young age dependency: <20 / 20-64 years 

DE1060I 

Demogr. old age dependency: > 65 / 20-64 years 

DE2001I 

Nationals as a proportion of total population 

DE2002I 

EU nationals as a proportion of total population 

DE2003I 

Non-EU nationals as a proportion of total pop. 

DE2004I 

Nationals born abroad as a prop. of total pop. 

DE3003I 

Total number of households 

DE3001I 

Average size of households 

DE3002I 

Proportion of households that are 1-person househ. 

DE3005I 

Prop. of households that are lone-parent househ. 

DE3006I 

Lone-parent households male / female 

DE3008I 

Prop. households that are lone-pensioner househ. 

DE3009I 

Lone-pensioner households: male / female 

DE3011I 

Proportion of households with children aged 0-17 

DE3012I 

Nationals moved to city during last 2 yrs /prop.of pop 

DE3013I 

EU nationals moved to city over last 2 yrs /prop.of pop 

DE3014I 

Non-EU nationals moved to city last 2 yrs/prop.of pop 

SA1001I 

Number of dwellings 

SA1015I 

Number of homeless people / total resident pop. 

SA1016I 

Average price per m2 for an apartment 

SA1023I 

Average price per m2 for a house  

DE1040V + 

DE1043V + 

DE1046V + 

DE1028V + 

DE1055V 

DE1040V + 

DE1043V + 

DE1046V 

DE1028V + 

DE1055V 

DE2001V 

DE2002V 

DE2003V 

DE2004V 

DE3001V 

DE1001V 

DE3002V 

DE3005V 

DE3006V 

DE3008V 

DE3009V 

DE3011V 

DE3012V 

DE3013V 

DE3014V 

SA1001V 

SA1015V 

SA1016V 

SA1023V 

1V) (t-n) 

DE1049V + 

DE1052V + 

DE1025V 

DE1049V + 

DE1052V + 

DE1025V 

DE1049V + 

DE1052V + 

DE1025V 

DE1001V 

DE1001V 

DE1001V 

DE1001V 

- 

DE3001V 

DE3001V 

DE3001V 

DE3007V 

DE3001V 

DE3010V 

DE3001V 

DE1001V 

DE1001V 

DE1001V 

- 

DE1001V 

- 

- 

SA1036I 

Average price per m2 for apartm. / median househ income 

SA1016V 

EC3039V 

SA1021I 

Average annual rent for an apartment per m2 

SA1024I 

Average annual rent for a house per m2 

SA1037I 

Ratio of average price to average rent for an apartment 

SA1038I 

Ratio of average price to average rent for a house 

SA1017I 

Average annual social housing rents per m2 

SA1039I 

Average social housing rents to median househ income 

SA1018I 

Proportion of dwellings lacking basic amenities 

SA1011I 

Proportion of households living in owned dwellings 

SA1021V 

SA1024V 

SA1016V 

SA1023V 

SA1017V 

SA1017V 

SA1018V 

SA1011V 

- 

- 

SA1021V 

SA1024V 

- 

EC3039V 

SA1001V 

DE3001V 

218 

 
Regional and Urban Statistics – Reference Guide 2006 

SA1012I 

Proportion of households living in social housing 

SA1013I 

Prop. of households living in priv. rented housing 

SA1007I 

Proportion of households living in houses 

SA1008I 

Proportion of households living in apartments 

SA1026I 

Proportion of non-conventional dwellings 

SA1019I 

Average occupancy per occupied dwelling 

SA1022I 

Average living area in m2 per person  

SA1025I 

Empty conventional dwellings per total dwellings 

SA2001I 

Life expectancy at birth for males and females 

SA2013I 

Mortality rate for <65 from heart dis. & respir. ill. 

SA1012V 

SA1013V 

SA1007V 

SA1008V 

SA1026V 

SA1019V 

SA1022V 

SA1025V 

SA2001V 

SA2013V 

SA2014I 

Mortality rate males <65 from heart dis. & respir. ill. 

SA2014V 

SA2015I 

Mortality rate females <65 from heart dis.&respir. ill. 

SA2015V 

SA2022I 

Number of hospital beds per 1000 residents 

SA2023I 

Number of doctors per 1000 residents 

SA2024I 

Number of dentists per 1000 residents 

SA3001I 

Number of recorded crimes per 1000 population  

SA3005I 

Number of murders and violent deaths per 1000 pop. 

SA3006I 

Number of car thefts per 1000 population  

SA2022V*1000 

SA2023V*1000 

SA2024V*1000 

SA3001V*1000 

SA3005V*1000 

SA3006V*1000 

DE3001V 

DE3001V 

DE3001V 

DE3001V 

SA1001V 

- 

- 

SA1001V 

- 

DE1040V + 

DE1043V + 

DE1046V + 

DE1049V + 

DE1052V + 

DE1025V 

DE1041V + 

DE1044V + 

DE1047V + 

DE1050V + 

DE1053V + 

DE1026V 

DE1042V + 

DE1045V + 

DE1048V + 

DE1051V + 

DE1054V + 

DE1027V 

DE1001V 

DE1001V 

DE1001V 

DE1001V 

DE1001V 

DE1001V 

EC1201I 

Annual average change in employment over 5 years  

EC1001V(t)-

nSQR(EC100

EC1001V(t-n) 

1V -

EC1010I 

Number of unemployed 

EC1020I 

Unemployment rate  

EC1011I 

Unemployment rate - male 

EC1012I 

Unemployment rate - female 

EC1148I 

Proportion of residents unemployed 15-24 

EC1149I 

Proportion of male residents unemployed 15-24 

EC1150I 

Proportion of female residents unemployed 15-24 

EC1151I 

Proportion of residents unemployed 55-64 

EC1152I 

Proportion of male residents unemployed 55-64 

EC1010V 

EC1010V 

EC1011V 

EC1012V 

EC1148V 

EC1149V 

EC1150V 

EC1151V 

EC1152V 

EC1001V)(t-

n)  

- 

EC1001V 

EC1002V 

EC1003V 

EC1142V 

EC1143V 

EC1144V 

EC1145V 

EC1146V 

219 

 
Regional and Urban Statistics – Reference Guide 2006 

EC1153I 

Proportion of female residents unemployed 55-64 

EC1154I 

Proportion of long term unemployed (>6 months) 15-24 

EC1155I 

Proportion of long term young unemployed - male 

EC1156I 

Proportion of long term young unemployed - female 

EC1157I 

Proportion of long term unemployed (>1 year) aged 55-64 

EC1158I 

Proportion of long term elderly unemployed - male 

EC1159I 

Proportion of long term elderly unemployed - female 

EC1202I 

Proportion of unemployed who are under 25 

EC1034I 

Ratio of employment to population of working age 

EC1153V 

EC1154V 

EC1155V 

EC1156V 

EC1157V 

EC1158V 

EC1159V 

EC1148V 

EC1034V + 

EC1088V 

EC1035I 

Ratio of employment to population of working age - male 

EC1035V + 

EC1089V 

EC1036I 

Ratio of employment to popul. of working age - female 

EC1036V + 

EC1025I 

Self-employment rate (residents)  

EC1026I 

Self-employment rate (residents) - male 

EC1027I 

Self-employment rate (residents) - female 

EC1001I 

Activity rate 

EC1090V 

EC1025V 

EC1026V 

EC1027V 

EC1001V 

EC1002I 

Activity rate - male 

EC1002V 

EC1003I 

Activity rate - female 

EC1003V 

EC1142I 

Activity rate 15-24 

EC1143I 

Activity rate 15-24 - male 

EC1144I 

Activity rate 15-24 - female 

EC1145I 

Activity rate 55-64 

EC1146I 

Activity rate 55-64 - male 

EC1147I 

Activity rate 55-64 - female 

EC1088I 

Proportion in part-time employment 

EC1142V 

EC1143V 

EC1144V 

EC1145V 

EC1146V 

EC1147V 

EC1088V 

EC1147V 

EC1148V 

EC1149V 

EC1150V 

EC1151V 

EC1152V 

EC1153V 

EC1010V 

DE1046V + 

DE1049V + 

DE1052V + 

DE1025V 

DE1047V + 

DE1050V + 

DE1053V + 

DE1026V 

DE1048V + 

DE1051V + 

DE1054V + 

DE1027V 

EC1001V 

EC1001V 

EC1001V 

DE1046V + 

DE1049V + 

DE1052V + 

DE1025V 

DE1047V + 

DE1050V + 

DE1053V + 

DE1026V 

DE1048V + 

DE1051V + 

DE1054V + 

DE1027V 

DE1046V + 

DE1049V 

DE1047V + 

DE1050V 

DE1048V + 

DE1051V 

DE1025V 

 DE1026V 

 DE1027V 

EC1088V + 

EC1034V 

220 

 
Regional and Urban Statistics – Reference Guide 2006 

EC1089I 

Proportion in part-time employment - male 

EC1089V 

EC1090I 

Proportion in part-time employment - female 

EC1090V 

EC1166I 

Proportion in part-time employment, 15-24 

EC1166V 

EC1167I 

Proportion in part-time employment, 15-24 - male 

EC1167V 

EC1168I 

Proportion in part-time employment, 15-24 - female 

EC1168V 

EC1169I 

Proportion in part-time employment, 55-64 

EC1169V 

EC1170I 

Proportion in part-time employment, 55-64 - male 

EC1170V 

EC1171I 

Proportion in part-time employment, 55-64 - female 

EC1171V 

EC2001I 

GDP per head  

EC2015I 

GDP per employed person 

EC2003I 

No. of companies with HQs in city quoted on stock mkt 

EC2008I 

Proportion of employment in agriculture and fisheries 

EC2016I 

Prop. of employment in mining, manuf, energy, constr. 

EC2017I 

Prop. of employment in industries G-P (NACE Rev.1) 

EC2009I 

Prop. of employment in industries C-E (NACE Rev.1) 

EC2022I 

Proportion of employment in construction 

EC2010I 

Prop. of employment in trade, hotels and restaurants 

EC2023I 

Prop. of employment in transport and communication 

EC2011I 

Prop. of employment in financial and business services 

EC2012I 

Prop. of employment public admin., health and educ. 

EC2018I 

Proportion of employment (jobs) - employees only 

EC2019I 

Proportion of employment (jobs) - self-empl. only 

EC2020I 

Average employment per company 

EC2014I 

Proportion of companies gone bankrupt 

EC2004I 

New businesses registrd as a prop. of exist. Companies 

EC2013I 

Net office space that is vacant 

EC2033I 

Proportion of net office space that is vacant 

EC3039I 

Median disposable annual household income 

EC3054I 

Ratio of first to fourth quintile earnings 

EC3057I 

Percent. households with less than half nat.aver.income 

EC3060I 

Proportion of households reliant upon social security 

EC3063I 

Proportion of individuals reliant on social security 

CI1003I 

Prop. of registered electorate voting in EU elections 

CI1006I 

Prop. of registered electorate voting in nat. elections 

CI1009I 

Prop. of registered electorate voting in city elections 

CI1002I 

Prop. of eligible electorate registrd for EU elections 

CI1005I 

Prop. of eligib. electorate registrd for nat. elections 

EC2001V 

EC2001V 

EC2003V 

EC2008V 

EC2016V 

EC2017V 

EC2009V 

EC2022V 

EC2010V 

EC2023V 

EC2011V 

EC2012V 

EC2018V 

EC2019V 

EC2020V 

EC2014V 

EC2004V 

EC2013V 

EC2013V 

EC3039V 

EC3054V 

EC3057V 

EC3060V 

EC3063V 

CI1003V 

CI1006V 

CI1009V 

CI1002V 

CI1005V 

EC1089V + 

EC1035V 

EC1090V + 

EC1036V 

EC1166V + 

EC1160V 

EC1167V + 

EC1161V 

EC1168V + 

EC1162V 

EC1169V + 

EC1163V 

EC1170V + 

EC1164V 

EC1171V + 

EC1165V 

EC2002V 

EC2015V 

- 

EC2020V 

EC2020V 

EC2020V 

EC2020V 

EC2020V 

EC2020V 

EC2020V 

EC2020V 

EC2020V 

EC2020V 

EC2020V 

EC2021V 

EC2021V 

EC2021V 

- 

EC2006V 

- 

EC3045V 

DE3001V 

DE3001V 

DE1001V 

CI1002V 

CI1005V 

CI1008V 

CI1001V 

CI1004V 

221 

 
Regional and Urban Statistics – Reference Guide 2006 

CI1008I 

Prop. of eligib. electorate registrd for city elections 

CI1010I 

Prop. of young people (<25 yr) voting in city elections 

CI1016I 

Number of elected city representatives 

CI1008V 

CI1010V 

CI1016V 

CI1026I 

No of elected city representatives per 1000 residents 

CI1016V*1000 

CI1018I 

Percentage of elected city representat. who are women 

CI2006I 

Annual expenditure of the munic. authority per resident 

CI2101I 

Annual expenditure of the munic. authority per city GDP 

CI2002I 

Prop. of munic.authority income from local taxation 

CI2003I 

Prop.of munic.authority income from nat.&reg. transfers 

CI2004I 

Prop.of munic.authority income from charges for servic. 

CI2005I 

Prop. of munic.authority income from other sources 

CI2007I 

Residents employed by local admin. / labour force 

CI2008I 

Employees in local admin (central) / labour force 

CI2009I 

Employees in local admin (education) / labour force 

CI2010I 

Employees in local admin (health) / labour force 

CI2011I 

Employees in local admin (transport) / labour force 

CI2013I 

Employees in local admin (other) / labour force 

CI1018V 

CI2006V 

CI2006V 

CI2002V 

CI2003V 

CI2004V 

CI2005V 

CI2007V 

CI2008V 

CI2009V 

CI2010V 

CI2011V 

CI2013V 

TE1001I 

Children 0-4 in day care (publ.&priv) per 1000 children 

TE1001V*1000 

TE1003I 

Proportion of children 0-4 in public day care 

TE1002I 

Proportion of children 0-4 in private day care 

TE1029I 

Prop. of children 0-4 in other day care (e.g. church) 

TE1030I 

Proportion of students not completing compulsory educ. 

TE1017I 

Prop. of students continuing educ. after compuls. educ. 

TE1003V 

TE1002V 

TE1029V 

TE1030V 

TE1017V 

TE1026I 

Students in higher education per 1000 resident pop. 

TE1026V*1000 

TE2016I 

Prop. of population qualified at level 1 ISCED  

TE2017I 

Prop. of population qualified at level 1 ISCED - male 

TE2018I 

Prop. of population qualified at level 1 ISCED - female 

TE2001I 

Prop. of population qualified at level 2 ISCED  

TE2002I 

Prop. of population qualified at level 2 ISCED - male 

TE2003I 

Prop. of population qualified at level 2 ISCED - female 

TE2019I 

Prop. of population qualified at level 3-4 ISCED  

TE2020I 

Prop. of population qualified at level 3-4 ISCED - male 

TE2021I 

Prop. of population qualif. at level 3-4 ISCED - female 

TE2022I 

Prop. of population qualified at level 5-6 ISCED  

TE2023I 

Prop. of population qualified at level 5-6 ISCED - male 

TE2024I 

Prop. of population qualif. at level 5-6 ISCED - female 

EN1001I 

Number of days of rain per year 

EN1002I 

Average number of hours of sunshine per day 

EN1003I 

Average temperature of warmest month 

EN1004I 

Average temperature of coldest month 

EN1005I 

Rainfall (litre/m2) in the reference year 

EN2001I 

Winter Smog: Number of days SO2 exceeds 125µg/m3  

TE2016V 

TE2017V 

TE2018V 

TE2001V 

TE2002V 

TE2003V 

TE2019V 

TE2020V 

TE2021V 

TE2022V 

TE2023V 

TE2024V 

EN1001V 

EN1002V 

EN1003V 

EN1004V 

EN1005V 

EN2001V 

EN2002I 

Summer Smog: No. of days ozone (O3) exceeds 120µg/m3  

EN2002V 

EN2003I 

Number of days NO2 concentrations exceed 200mg/m3  

EN2005I 

Number of days PM10 concentrations exceed 50 µg/m3  

EN2006I 

Concentration of lead Pb in ambient air in µg/m3  

EN2003V 

EN2005V 

EN2006V 

CI1007V 

CI1011V 

- 

DE1001V 

CI1016V 

DE1001V 

EC2001V 

CI2001V 

CI2001V 

CI2001V 

CI2001V 

EC2020V 

EC2020V 

EC2020V 

EC2020V 

EC2020V 

EC2020V 

DE1040V 

TE1001V 

TE1001V 

TE1001V 

TE1005V  

TE1005V  

DE1001V 

DE1001V 

DE1002V 

DE1003V 

DE1001V 

DE1002V 

DE1003V 

DE1001V 

DE1002V 

DE1003V 

DE1001V 

DE1002V 

DE1003V 

- 

- 

- 

- 

- 

- 

- 

- 

- 

- 

222 

 
Regional and Urban Statistics – Reference Guide 2006 

EN2014I 

Total carbon dioxide (CO2) emissions 

EN2009I 

Total carbon monoxide (CO) emissions 

EN2010I 

Total methane (CH4) emissions  

EN2014V 

EN2009V 

EN2010V 

EN2011I 

Non-methane volatile organic compounds(NVOC) emissions  

EN2011V 

EN2012I 

Total sulphur dioxide (SO2) emissions  

EN2013I 

Total nitrogen dioxide (NO2) emissions 

EN2007I 

Proportion of residents exposed to day noise >55 dB(A)  

EN2008I 

Prop. of residents exposed to night noise >45 dB(A) 

EN2024I 

CO2 emissions per capita 

EN3003I 

Consumption of water (m3 per annum) per capita 

EN3004I 

% dwellings connected to potable water system 

EN3006I 

% dwellings connected to sewerage treatment system 

EN3008I 

Number of water rationing cases, days per year  

EN3009I 

Number of scheduled water stoppages, days per year 

EN4001I 

Collected solid waste per capita per year 

EN4002I 

Proportion of solid waste processed by landfill 

EN4003I 

Proportion of solid waste processed by incinerator 

EN4004I 

Proportion of solid waste processed by recycling 

EN4006I 

Proportion of solid waste processed by other methods 

EN4005I 

Annual amount of toxic waste per capita 

EN5003I 

Total land area (km2) - from the cadastral register 

EN2012V 

EN2013V 

EN2007V 

EN2008V 

EN2014V 

EN3003V 

EN3004V 

EN3006V 

EN3008V 

EN3009V 

EN4001V 

EN4002V 

EN4003V  

EN4004V 

EN4006V 

EN4005V 

EN5003V 

- 

- 

- 

- 

- 

- 

DE1001V 

DE1001V 

DE1001V 

DE1001V 

SA1001V 

SA1001V 

- 

- 

DE1001V 

EN4001V 

EN4001V 

EN4001V 

EN4001V 

DE1001V 

- 

EN5001I 

Green space to which the public has access per capita 

EN5001V*10000 

DE1001V 

EN5002I 

Prop. of population within a 15 min walk of green space 

EN5012I 

Proportion of the area in green space 

EN5016I 

Proportion of the area used for agricultural purposes 

EN5017I 

Proportion of the area in mineral extraction 

EN5018I 

Proportion of the area in industrial and manuf. use 

EN5019I 

Proportion of the area in road network use 

EN5020I 

Proportion of the area in rail network use 

EN5008I 

Proportion of the area in ports use 

EN5009I 

Proportion of the area in airports use 

EN5021I 

Proportion of the area in water treatment use 

EN5022I 

Proportion of the area in waste disposal use 

EN5023I 

Proportion of the area in commerce and business use 

EN5011I 

Proportion of the area in sports and leisure use 

EN5004I 

Proportion of the area in housing/residential use 

EN5013I 

Prop. of the area unused, including contaminated land 

EN5014I 

Prop. of urban area under special conservation measures 

EN5101I 

Population density: total resident pop. per square km 

EN5102I 

Net residential density - pop. per land area in housing 

EN6010I 

Electricity consumption per capita (1000 kWh) 

EN6015I 

Gas consumption per capita (Mtoe) 

EN6011I 

Share of electricity use in transport sector 

EN6012I 

Share of electricity use in industry sector 

EN5002V 

EN5012V 

EN5016V 

EN5017V 

EN5018V 

EN5019V 

EN5020V 

EN5008V 

EN5009V 

EN5021V 

EN5022V 

EN5023V 

EN5011V 

EN5004V 

EN5013V 

EN5014V 

DE1001V 

DE1001V 

EN6010V 

EN6015V 

EN6011V 

EN6012V 

DE1001V 

EN5003V 

EN5003V 

EN5003V 

EN5003V 

EN5003V 

EN5003V 

EN5003V 

EN5003V 

EN5003V 

EN5003V 

EN5003V 

EN5003V 

EN5003V 

EN5003V 

EN5003V 

EN5003V 

EN5004V 

DE1001V 

DE1001V 

EN6010V 

EN6010V 

223 

 
Regional and Urban Statistics – Reference Guide 2006 

EN6013I 

Share of electricity use in domestic sector 

EN6014I 

Share of electricity use in commercial sector 

TT1002I 

Proportion of journeys to work by rail or metro  

TT1003I 

Proportion of journeys to work by car 

TT1004I 

Proportion of journeys to work by bus 

TT1005I 

Proportion of journeys to work by tram 

TT1006I 

Proportion of journeys to work by motor cycle 

TT1007I 

Proportion of journeys to work by bicycle 

TT1008I 

Proportion of journeys to work by foot 

TT1009I 

Proportion of journeys to work by other modes 

TT1059I 

Average number of occupants of motor cars 

EN6013V 

EN6014V 

TT1002V 

TT1003V 

TT1004V 

TT1005V 

TT1006V 

TT1007V 

TT1008V 

TT1009V 

TT1059V 

TT1057I 

Number of registered cars per 1000 population 

TT1057V*1000 

TT1058I 

Road accidents (death or serious injury) per 1000 pop. 

TT1058V*1000 

TT1064I 

Prop.of those employed in the city who are in-commuters 

TT1065I 

Prop. of those living in the city who are out-commuters 

TT1019I 

Average time of journey to work 

TT1062I 

Av. speed of inner-city car traffic during the rush hour 

TT1063I 

Average waiting time for a bus in the rush hour 

TT1066I 

Length of public transp.network as a prop. of land area 

TT1076I 

Length of public transport network per capita 

TT1101I 

Ratio of day-time to night-time population 

TT1068I 

Total km driven in public transport per capita per day 

TT1071I 

Accessiblity by air (EU27=100) 

TT1072I 

Accessiblity by rail (EU27=100) 

TT1073I 

Accessiblity by road (EU27=100) 

TT1074I 

Multimodal accessibility (EU27=100) 

IT1001I 

Proportion of households with a PC 

IT1010I 

Proportion of households with access to broadband  

IT1006I 

Computers per 100 pupils in primary level education 

IT1005I 

Percentage of households with Internet access at home 

IT1007I 

Computers per 100 pupils in secondary level education 

IT1008I 

Number of ICT students 

IT1009I 

Number of public internet access points 

IT2001I 

Official city internet website  

IT2004I 

No. of admin.forms that can be submitted electronically 

IT2002I 

Number of hits on the city internet website 

IT3001I 

Proportion of local companies that produce ICT products 

IT3002I 

Percentage of labour force manufacturing ICT products 

IT3004I 

Percentage of labour force providing ICT services 

IT3006I 

Percentage of labour force producing ICT content 

TT1064V 

TT1065V 

TT1019V 

TT1062V 

TT1063V 

TT1066V 

TT1066V 

EC2020V 

TT1068V 

TT1071V 

TT1072V 

TT1073V 

TT1074V 

IT1001V 

IT1010V 

IT1006V 

IT1005V 

IT1007V 

IT1008V 

IT1009V 

IT2001V 

IT2004V 

IT2002V 

IT3001V 

IT3002V 

IT3004V 

IT3006V 

CR1005I 

Annual cinema attendance per resident 

CR1003I 

Number of cinema seats per 1000 residents 

CR1001I 

Number of concerts per 1000 residents 

CR1005V 

CR1003V*1000 

CR1001V*1000 

EN6010V 

EN6010V 

- 

- 

- 

- 

- 

- 

- 

- 

- 

DE1001V 

DE1001V 

EC2020V 

EC1034V + 

EC1088V 

- 

- 

- 

EN5003V 

DE1001V 

EC1034V + 

EC1088V 

DE1001V 

- 

- 

- 

- 

DE3001V 

DE3001V 

- 

- 

- 

- 

- 

- 

- 

- 

EC2021V 

EC2020V 

EC2020V 

EC2020V 

DE1001V 

DE1001V 

DE1001V 

224 

 
Regional and Urban Statistics – Reference Guide 2006 

CR1002I 

Annual attendance at concerts per resident 

CR1008I 

The number of theatres 

CR1009I 

Annual attendance at theatres per resident 

CR1006I 

Number of museums  

CR1007I 

Annual visitors to museums per resident 

CR1010I 

The number of public libraries 

CR1011I 

Total loans of books and other media per resident 

CR1012I 

Number of concert seats per capita 

CR1013I 

Number of theatre seats per capita 

CR2001I 

Tourist overnight stays in reg. accommodation per year 

CR2011I 

Tourist overnight stays per resident population 

CR2014I 

Number of air passengers per resident 

CR2101I 

Average occupancy rate of accommodation 

CR2009I 

Number of available beds 

CR2004I 

Number of air passengers using nearest airport 

CR1002V 

CR1008V 

CR1009V 

CR1006V 

CR1007V 

CR1010V 

CR1011V 

CR1012V 

CR1013V 

CR2001V 

CR2001V 

CR2004V 

CR2001V 

CR2009V 

CR2004V 

DE1001V 

- 

DE1001V 

- 

DE1001V 

- 

DE1001V 

DE1001V 

DE1001V 

- 

DE1001V 

DE1001V 

CR2009V 

- 

- 

CR2005I 

Share of non-domestic departures from nearest airport 

CR2007V-CR2008V 

CR2007V 

3. 

4. 

CITIES 

INFO 

Geopolitical entity: 
City code 
Information: 
value 
flags 

Name of city 

Actual figure 
Flags 

luz_i 

Dimensions: 

1. 

TIME  

Urban Audit indicators for larger urban zones 

Period of time: 
1989 – 1993 
1994 – 1998 
1999 – 2003 

2. 

INDIC_UR  Urban audit larger urban zone indicators: 

Code 

Indicator description 

DE1001I 

Total resident population 

DE1011I 

Total population of working age 

DE1040I 

Proportion of total population aged 0-4 

DE1043I 

Proportion of total population aged 5-14 

DE1046I 

Proportion of total population aged 15-19 

DE1049I 

Proportion of total population aged 20-24 

DE1052I 

Proportion of total population aged 25-54 

DE1025I 

Proportion of total population aged 55-64 

DE1028I 

Proportion of total population aged 65-74 

DE1055I 

Proportion of total population aged 75 and over 

Numerator 

Denominator 

DE1001V 

DE1046V + 

DE1049V + 

DE1052V + 

DE1025V 

DE1040V 

DE1043V 

DE1046V 

DE1049V 

DE1052V 

DE1025V 

DE1028V 

DE1055V 

- 

- 

DE1001V 

DE1001V 

DE1001V 

DE1001V 

DE1001V 

DE1001V 

DE1001V 

DE1001V 

225 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

DE1003I 

Proportion of females to males in total population 

DE1057I 

Proportion of females to males - aged 75 and over 

DE1003V 

DE1057V 

DE1002V 

DE1056V 

DE1061I 

Total population change over 1 year 

DE1001V (t) 

DE1001V (t-1) 

DE1062I 

Total annual population change over 5 years 

DE1001V (t) 

nSQR(DE1001V) 

DE1058I 

Demographic dependency: (<20 + >65) / 20-64 years 

DE1040V + 

DE1049V + 

(t-n) 

DE1043V + 

DE1052V + 

DE1046V + 

DE1025V 

DE1028V + 

DE1055V 

DE1059I 

Demogr. young age dependency: <20 / 20-64 years 

DE1040V + 

DE1049V + 

DE1043V + 

DE1052V + 

DE1046V 

DE1025V 

DE1060I 

Demogr. old age dependency: > 65 / 20-64 years 

DE1028V + 

DE1049V + 

DE1055V 

DE1052V + 

DE2001I 

Nationals as a proportion of total population 

DE2002I 

EU nationals as a proportion of total population 

DE2003I 

Non-EU nationals as a proportion of total pop. 

DE2004I 

Nationals born abroad as a prop. of total pop. 

DE3003I 

Total number of households 

DE3001I 

Average size of households 

DE3002I 

Proportion of households that are 1-person househ. 

DE3005I 

Prop. of households that are lone-parent househ. 

DE3006I 

Lone-parent households male / female 

DE3008I 

Prop. households that are lone-pensioner househ. 

DE3009I 

Lone-pensioner households: male / female 

DE3011I 

Proportion of households with children aged 0-17 

SA1001I 

Number of dwellings 

SA1016I 

Average price per m2 for an apartment 

SA1023I 

Average price per m2 for a house  

DE2001V 

DE2002V 

DE2003V 

DE2004V 

DE3001V 

DE1001V 

DE3002V 

DE3005V 

DE3006V 

DE3008V 

DE3009V 

DE3011V 

SA1001V 

SA1016V 

SA1023V 

DE1025V 

DE1001V 

DE1001V 

DE1001V 

DE1001V 

- 

DE3001V 

DE3001V 

DE3001V 

DE3007V 

DE3001V 

DE3010V 

DE3001V 

- 

- 

- 

SA1036I 

Average price per m2 for apartm. / median househ income 

SA1016V 

EC3039V 

SA1021I 

Average annual rent for an apartment per m2 

SA1024I 

Average annual rent for a house per m2 

SA1037I 

Ratio of average price to average rent for an apartment 

SA1038I 

Ratio of average price to average rent for a house 

SA1017I 

Average annual social housing rents per m2 

SA1039I 

Average social housing rents to median househ income 

SA1018I 

Proportion of dwellings lacking basic amenities 

SA1011I 

Proportion of households living in owned dwellings 

SA1012I 

Proportion of households living in social housing 

SA1013I 

Prop. of households living in priv. rented housing 

SA1007I 

Proportion of households living in houses 

SA1008I 

Proportion of households living in apartments 

SA1026I 

Proportion of non-conventional dwellings 

SA1019I 

Average occupancy per occupied dwelling 

SA1021V 

SA1024V 

SA1016V 

SA1023V 

SA1017V 

SA1017V 

SA1018V 

SA1011V 

SA1012V 

SA1013V 

SA1007V 

SA1008V 

SA1026V 

SA1019V 

- 

- 

SA1021V 

SA1024V 

- 

EC3039V 

SA1001V 

DE3001V 

DE3001V 

DE3001V 

DE3001V 

DE3001V 

SA1001V 

- 

226 

 
Regional and Urban Statistics – Reference Guide 2006 

SA1022I 

Average living area in m2 per person  

SA1025I 

Empty conventional dwellings per total dwellings 

SA2001I 

Life expectancy at birth for males and females 

SA2013I 

Mortality rate for <65 from heart dis. & respir. ill. 

SA1022V 

SA1025V 

SA2001V 

SA2013V 

SA2014I 

Mortality rate males <65 from heart dis. & respir. ill. 

SA2014V 

SA2015I 

Mortality rate females <65 from heart dis.&respir. ill. 

SA2015V 

- 

SA1001V 

- 

DE1040V + 

DE1043V + 

DE1046V + 

DE1049V + 

DE1052V + 

DE1025V 

DE1041V + 

DE1044V + 

DE1047V + 

DE1050V + 

DE1053V + 

DE1026V 

DE1042V + 

DE1045V + 

DE1048V + 

DE1051V + 

DE1054V + 

DE1027V 

SA2022I 

Number of hospital beds per 1000 residents 

SA2023I 

Number of doctors per 1000 residents 

SA2024I 

Number of dentists per 1000 residents 

SA2022V*1000 

DE1001V 

SA2023V*1000 

DE1001V 

SA2024V*1000 

DE1001V 

SA3001I 

Number of recorded crimes per 1000 population  

SA3001V*1000 

DE1001V 

SA3005I 

Number of murders and violent deaths per 1000 pop. 

SA3005V*1000 

DE1001V 

SA3006I 

Number of car thefts per 1000 population  

SA3006V*1000 

DE1001V 

EC1201I 

Annual average change in employment over 5 years  

EC1001V(t)-

nSQR(EC1001V -

EC1001V(t-n) 

EC1001V)(t-n)  

EC1010I 

Number of unemployed 

EC1020I 

Unemployment rate  

EC1011I 

Unemployment rate - male 

EC1012I 

Unemployment rate - female 

EC1148I 

Proportion of residents unemployed 15-24 

EC1149I 

Proportion of male residents unemployed 15-24 

EC1150I 

Proportion of female residents unemployed 15-24 

EC1151I 

Proportion of residents unemployed 55-64 

EC1152I 

Proportion of male residents unemployed 55-64 

EC1153I 

Proportion of female residents unemployed 55-64 

EC1154I 

Proportion of long term unemployed (>6 months) 15-24 

EC1155I 

Proportion of long term young unemployed - male 

EC1156I 

Proportion of long term young unemployed - female 

EC1157I 

Proportion of long term unemployed (>1 year) aged 55-64 

EC1158I 

Proportion of long term elderly unemployed - male 

EC1159I 

Proportion of long term elderly unemployed - female 

EC1202I 

Proportion of unemployed who are under 25 

EC1010V 

EC1010V 

EC1011V 

EC1012V 

EC1148V 

EC1149V 

EC1150V 

EC1151V 

EC1152V 

EC1153V 

EC1154V 

EC1155V 

EC1156V 

EC1157V 

EC1158V 

EC1159V 

EC1148V 

- 

EC1001V 

EC1002V 

EC1003V 

EC1142V 

EC1143V 

EC1144V 

EC1145V 

EC1146V 

EC1147V 

EC1148V 

EC1149V 

EC1150V 

EC1151V 

EC1152V 

EC1153V 

EC1010V 

227 

 
Regional and Urban Statistics – Reference Guide 2006 

EC1001I 

Activity rate 

EC1001V 

EC1002I 

Activity rate - male 

EC1002V 

EC1003I 

Activity rate - female 

EC1003V 

DE1046V + 

DE1049V + 

DE1052V + 

DE1025V 

DE1047V + 

DE1050V + 

DE1053V + 

DE1026V 

DE1048V + 

DE1051V + 

DE1054V + 

DE1027V 

EC1142I 

Activity rate 15-24 

EC1142V 

DE1046V + 

DE1049V 

EC1143I 

Activity rate 15-24 - male 

EC1143V 

DE1047V + 

DE1050V 

EC1144I 

Activity rate 15-24 - female 

EC1144V 

DE1048V + 

EC1145I 

Activity rate 55-64 

EC1146I 

Activity rate 55-64 - male 

EC1147I 

Activity rate 55-64 - female 

EC2001I 

GDP per head  

EC2015I 

GDP per employed person 

EC3039I 

Median disposable annual household income 

EC3054I 

Ratio of first to fourth quintile earnings 

EC3057I 

Percent. households with less than half nat.aver.income 

EC3060I 

Proportion of households reliant upon social security 

EC3063I 

Proportion of individuals reliant on social security 

EC1145V 

EC1146V 

EC1147V 

EC2001V 

EC2001V 

EC3039V 

EC3054V 

EC3057V 

EC3060V 

EC3063V 

DE1051V 

DE1025V 

 DE1026V 

 DE1027V 

EC2002V 

EC2015V 

- 

EC3045V 

DE3001V 

DE3001V 

DE1001V 

TE1001I 

Children 0-4 in day care (publ.&priv) per 1000 children 

TE1001V*1000 

DE1040V 

TE1003I 

Proportion of children 0-4 in public day care 

TE1002I 

Proportion of children 0-4 in private day care 

TE1029I 

Prop. of children 0-4 in other day care (e.g. church) 

TE1030I 

Proportion of students not completing compulsory educ. 

TE1017I 

Prop. of students continuing educ. after compuls. educ. 

TE2016I 

Prop. of population qualified at level 1 ISCED  

TE2017I 

Prop. of population qualified at level 1 ISCED - male 

TE2018I 

Prop. of population qualified at level 1 ISCED - female 

TE2001I 

Prop. of population qualified at level 2 ISCED  

TE2002I 

Prop. of population qualified at level 2 ISCED - male 

TE2003I 

Prop. of population qualified at level 2 ISCED - female 

TE2019I 

Prop. of population qualified at level 3-4 ISCED  

TE2020I 

Prop. of population qualified at level 3-4 ISCED - male 

TE2021I 

Prop. of population qualif. at level 3-4 ISCED - female 

TE2022I 

Prop. of population qualified at level 5-6 ISCED  

TE2023I 

Prop. of population qualified at level 5-6 ISCED - male 

TE1003V 

TE1002V 

TE1029V 

TE1030V 

TE1017V 

TE2016V 

TE2017V 

TE2018V 

TE2001V 

TE2002V 

TE2003V 

TE2019V 

TE2020V 

TE2021V 

TE2022V 

TE2023V 

TE1001V 

TE1001V 

TE1001V 

TE1005V  

TE1005V  

DE1001V 

DE1002V 

DE1003V 

DE1001V 

DE1002V 

DE1003V 

DE1001V 

DE1002V 

DE1003V 

DE1001V 

DE1002V 

228 

 
Regional and Urban Statistics – Reference Guide 2006 

TE2024I 

Prop. of population qualif. at level 5-6 ISCED - female 

EN5003I 

Total land area (km2) - from the cadastral register 

TE2024V 

EN5003V 

DE1003V 

- 

EN5001I 

Green space to which the public has access per capita 

EN5001V*10000  DE1001V 

EN5002I 

Prop. of population within a 15 min walk of green space 

EN5012I 

Proportion of the area in green space 

EN5016I 

Proportion of the area used for agricultural purposes 

EN5017I 

Proportion of the area in mineral extraction 

EN5018I 

Proportion of the area in industrial and manuf. use 

EN5019I 

Proportion of the area in road network use 

EN5020I 

Proportion of the area in rail network use 

EN5008I 

Proportion of the area in ports use 

EN5009I 

Proportion of the area in airports use 

EN5021I 

Proportion of the area in water treatment use 

EN5022I 

Proportion of the area in waste disposal use 

EN5023I 

Proportion of the area in commerce and business use 

EN5011I 

Proportion of the area in sports and leisure use 

EN5004I 

Proportion of the area in housing/residential use 

EN5013I 

Prop. of the area unused, including contaminated land 

EN5014I 

Prop. of urban area under special conservation measures 

EN5101I 

Population density: total resident pop. per square km 

EN5102I 

Net residential density - pop. per land area in housing 

TT1002I 

Proportion of journeys to work by rail or metro  

TT1003I 

Proportion of journeys to work by car 

TT1004I 

Proportion of journeys to work by bus 

TT1005I 

Proportion of journeys to work by tram 

TT1006I 

Proportion of journeys to work by motor cycle 

TT1007I 

Proportion of journeys to work by bicycle 

TT1008I 

Proportion of journeys to work by foot 

TT1009I 

Proportion of journeys to work by other modes 

TT1059I 

Average number of occupants of motor cars 

EN5002V 

EN5012V 

EN5016V 

EN5017V 

EN5018V 

EN5019V 

EN5020V 

EN5008V 

EN5009V 

EN5021V 

EN5022V 

EN5023V 

EN5011V 

EN5004V 

EN5013V 

EN5014V 

DE1001V 

DE1001V 

TT1002V 

TT1003V 

TT1004V 

TT1005V 

TT1006V 

TT1007V 

TT1008V 

TT1009V 

TT1059V 

DE1001V 

EN5003V 

EN5003V 

EN5003V 

EN5003V 

EN5003V 

EN5003V 

EN5003V 

EN5003V 

EN5003V 

EN5003V 

EN5003V 

EN5003V 

EN5003V 

EN5003V 

EN5003V 

EN5003V 

EN5004V 

- 

- 

- 

- 

- 

- 

- 

- 

- 

TT1057I 

Number of registered cars per 1000 population 

TT1057V*1000 

DE1001V 

TT1058I 

Road accidents (death or serious injury) per 1000 pop. 

TT1058V*1000 

DE1001V 

TT1019I 

Average time of journey to work 

TT1063I 

Average waiting time for a bus in the rush hour 

TT1066I 

Length of public transp.network as a prop. of land area 

TT1076I 

Length of public transport network per capita 

TT1071I 

Accessiblity by air (EU27=100) 

TT1072I 

Accessiblity by rail (EU27=100) 

TT1073I 

Accessiblity by road (EU27=100) 

TT1074I 

Multimodal accessibility (EU27=100) 

TT1019V 

TT1063V 

TT1066V 

TT1066V 

TT1071V 

TT1072V 

TT1073V 

TT1074V 

- 

- 

EN5003V 

DE1001V 

- 

- 

- 

- 

3. 

4. 

CITIES 

INFO 

Geopolitical entity: 
LUZ code 
Information: 
value 

Name of the Larger Urban Zone 

Actual figure 

229 

 
 
 
 
 
 
 
 
scd_i 

Dimensions: 

1. 

TIME  

Regional and Urban Statistics – Reference Guide 2006 

flags 

Flags 

Urban Audit indicators for sub-city districts at 2 levels 

Period of time: 
1989 – 1993 
1994 – 1998 
1999 – 2003 

2. 

INDIC_UR  Urban audit sub-city district variables: 

Code 

Indicator description 

DE1001I 

Total resident population 

DE1040I 

Proportion of total population aged 0-4 

DE1003I 

Proportion of females to males in total population 

Numerator  Denominator 

DE1001V 

DE1040V 

DE1003V 

- 

DE1001V 

DE1002V 

DE1061I 

Total population change over 1 year 

DE1001V (t) 

DE1001V (t-1) 

DE1062I 

Total annual population change over 5 years 

DE1001V (t) 

nSQR(DE1001V) (t-

DE3003I 

Total number of households 

DE3001I 

Average size of households 

DE3002I 

Proportion of households that are 1-person househ. 

DE3005I 

Prop. of households that are lone-parent househ. 

DE3008I 

Prop. households that are lone-pensioner househ. 

SA1001I 

Number of dwellings 

SA1018I 

Proportion of dwellings lacking basic amenities 

SA1012I 

Proportion of households living in social housing 

DE3001V 

DE1001V 

DE3002V 

DE3005V 

DE3008V 

SA1001V 

SA1018V 

SA1012V 

n) 

- 

DE3001V 

DE3001V 

DE3001V 

DE3001V 

- 

SA1001V 

DE3001V 

SA3001I 

Number of recorded crimes per 1000 population  

SA3001V*1000 

DE1001V 

EC1201I 

Annual average change in employment over 5 years  

EC1001V(t)-

nSQR(EC1001V -

EC1001V(t-n) 

EC1001V)(t-n)  

EC1010I 

Number of unemployed 

EC1020I 

Unemployment rate  

EC1148I 

Proportion of residents unemployed 15-24 

EC1202I 

Proportion of unemployed who are under 25 

EC3039I 

Median disposable annual household income 

EC1010V 

EC1010V 

EC1148V 

EC1148V 

EC3039V 

EC3057I 

Percent. households with less than half nat.aver.income 

EC3057V 

EC3060I 

Proportion of households reliant upon social security 

EC3063I 

Proportion of individuals reliant on social security 

TE2016I 

Prop. of population qualified at level 1 ISCED  

TE2001I 

Prop. of population qualified at level 2 ISCED  

TE2019I 

Prop. of population qualified at level 3-4 ISCED  

TE2022I 

Prop. of population qualified at level 5-6 ISCED  

EN5003I 

Total land area (km2) - from the cadastral register 

EC3060V 

EC3063V 

TE2016V 

TE2001V 

TE2019V 

TE2022V 

EN5003V 

- 

EC1001V 

EC1142V 

EC1010V 

- 

DE3001V 

DE3001V 

DE1001V 

DE1001V 

DE1001V 

DE1001V 

DE1001V 

- 

EN5001I 

Green space to which the public has access per capita 

EN5001V*10000  DE1001V 

EN5012I 

Proportion of the area in green space 

EN5101I 

Population density: total resident pop. per square km 

EN5012V 

DE1001V 

EN5003V 

EN5003V 

230 

 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

3. 

4. 

CITIES 

INFO 

Geopolitical entity: 
SCD code 
Information: 
value 
flags 

Name of the sub-city district (if available) 

Actual figure 
Flags 

C. Perception data 

percep 

Urban Audit perception survey results 

Dimensions: 

1. 

TIME  

Period of time: 
1989 – 1993 
1994 – 1998 
1999 – 2003 

2. 

3. 

INDIC_UR  Urban audit indicator: 

CITIES 

Geopolitical entity: 
City code 

Name of city 

AT001C 

Wien 

BE002C 

Antwerpen 

BE001C 

Bruxelles/Brussel 

BE005C 

Liège 

DE001C 

Berlin 

DE010C 

Dortmund 

DE008C 

Leipzig 

DE003C 

Munchen 

DK001C 

Kobenhavn 

ES002C 

Barcelona 

ES001C 

Madrid 

ES006C 

Malaga 

FI001C 

Helsinki 

FR203C 

Marseille 

FR001C 

Paris 

FR013C 

Rennes 

GR001C 

Athinai 

GR004C 

Irakleio 

IE001C 

IT003C 

Dublin 

Napoli 

231 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

IT001C 

Roma 

IT004C 

Torino 

LU001C 

Luxembourg 

NL002C 

Amsterdam 

NL003C 

Rotterdam  

PT003C 

Braga  

PT001C 

Lisboa 

SE001C 

Stockholm 

UK004C 

Glasgow 

UK001C 

London 

UK008C 

Manchester 

4. 

INFO 

Information: 
value 
flags 

Actual figure 
Flags 

232 

 
 
 
 
 
 
 
 
 
Regional and Urban Statistics – Reference Guide 2006 

ANNEX:   OVERVIEW OF ALL TABLES 

A 

Agricultural accounts according to EAA97 ............................................................................................................................. 33 

Air transport – freight..................................................................................................................................................... 182, 183 

Air transport-freight (new methodology) ............................................................................................................................... 183 

Air transport-passengers (new methodology)......................................................................................................................... 184 

Allocation of primary income account of households.............................................................................................................. 75 

Area of the regions ................................................................................................................................................................... 48 

Arrivals due to internal migration by sex and age group........................................................................................................ 114 

Arrivals of non-residents........................................................................................................................................................ 168 

Arrivals of residents ............................................................................................................................................................... 167 

Average annual population by sex ........................................................................................................................................... 48 

Average number of usual weekly hours of work in main job................................................................................................. 101 

Average population by sex and single year of age ................................................................................................................... 48 

B 

Births and deaths ...................................................................................................................................................................... 50 

Births by age of mother............................................................................................................................................................ 51 

C 

Compensation of employees at NUTS level 2 – EU ................................................................................................................ 74 

Crop production ....................................................................................................................................................................... 30 

D 

Deaths by sex and age group.................................................................................................................................................... 51 

Density of the average total population.................................................................................................................................... 49 

Departures due to internal migration by sex and age group ................................................................................................... 114 

Dispersion of regional (NUTS level 2) employment rates of age group 15-64 ...................................................................... 100 

Dispersion of regional (NUTS levels 2 and 3) unemployment rates ...................................................................................... 102 

233 

 
Regional and Urban Statistics – Reference Guide 2006 

E 

Economic activity rates by sex and age, at NUTS levels 1 and 2 ............................................................................................ 96 

Economically active population by sex and age, at NUTS levels ............................................................................................ 95 

Economically active population by sex, age and highest level of education attained .............................................................. 96 

Electricity consumption by sector .......................................................................................................................................... 175 

Electricity production capacity .............................................................................................................................................. 174 

Emigration by sex and age group ........................................................................................................................................... 116 

Employed human resources in Science and Technology at regional level, by sector of activity (NUTS 1) .......................... 123 

Employment and commuting among NUTS level 2 regions .................................................................................................... 99 

Employment at NUTS level 2 – EU......................................................................................................................................... 73 

Employment at NUTS level 3 – EU......................................................................................................................................... 73 

Employment by economic activity, at NUTS levels 1 and 2.................................................................................................... 97 

Employment by full-time/part-time and sex, at NUTS levels 1 and 2 ..................................................................................... 98 

Employment by professional status, at NUTS levels 1 and 2................................................................................................... 98 

Employment by sex and age, at NUTS levels 1 and 2 ............................................................................................................. 97 

Employment by sex, age and highest level of education attained, at NUTS levels 1 and 2 ..................................................... 99 

Employment in technology and knowledge-intensive sectors at regional level ..................................................................... 126 

Employment rates by age and sex .......................................................................................................................................... 100 

G 

GDP at market prices, NUTS level 2 ....................................................................................................................................... 72 

GDP at market prices, NUTS level 3 ....................................................................................................................................... 72 

Gross fixed capital formation at NUTS level 2 – EU............................................................................................................... 74 

GVA at basic prices NUTS-2 (ESA95).................................................................................................................................... 74 

GVA at basic prices NUTS-3 (ESA95).................................................................................................................................... 75 

H 

Health personnel ............................................................................................................................................................ 159, 160 

Hospital beds.................................................................................................................................................................. 159, 161 

Human resources in Science and Technology at regional level by age (NUTS 1)................................................................. 124 

Human resources in Science and Technology at regional level by sex (NUTS 1) ................................................................. 125 

Human resources in Sience and Technology at regional level (NUTS 2) .............................................................................. 122 

I 

Immigration by sex and age group ......................................................................................................................................... 116 

Income of households at NUTS level 2.................................................................................................................................... 76 

Infant mortality ........................................................................................................................................................................ 52 

Infectious diseases.................................................................................................................................................................. 160 

Internal migration by sex, region of origin and destination.................................................................................................... 115 

234 

 
Regional and Urban Statistics – Reference Guide 2006 

J 

Journeys made by vehicles transporting goods ...................................................................................................................... 181 

L 

Land use ................................................................................................................................................................................... 30 

Life-long learning – participation of adults aged 25-64 in education and training................................................................. 104 

Livestock.................................................................................................................................................................................. 31 

Long-term unemployment (12 months and more), at NUTS levels 1 and 2........................................................................... 102 

M 

Maritime transport – passengers (new methodology) ............................................................................................................ 185 

Maritime transport -freight..................................................................................................................................................... 184 

Maritime transport passengers................................................................................................................................................ 184 

Maritime transport-freight (new methodology)...................................................................................................................... 185 

N 

Nights spent by non-residents ................................................................................................................................................ 168 

Nights spent by residents ....................................................................................................................................................... 167 

Number of establishments, bedrooms and beds ..................................................................................................................... 167 

Number of foreign students in tertiary education by level of education and citizenship.......................................................... 83 

Number of households by degree of urbanisation of residence, at NUTS levels 1 and 2....................................................... 103 

Number of students by level of education, orientation and sex................................................................................................ 81 

Number of students by modern language studied .................................................................................................................... 83 

Number of students by sex and age.......................................................................................................................................... 82 

P 

Population aged 15 and over by sex and age, at NUTS levels 1 and 2................................................................................... 103 

Population aged 15 and over by sex, age and highest level of education attained ................................................................. 103 
Population at 1st January by sex and age group (from 1980) ................................................................................................... 47 
Population at 1st January by sex and single years of age.......................................................................................................... 47 

Population scenarios by sex and age ........................................................................................................................................ 49 

Production of cows’ milk on farms .......................................................................................................................................... 33 

R 

Real regional GDP growth rate, market prices at NUTS level 2.............................................................................................. 73 

Regional scenarios on labour force by sex and age.................................................................................................................. 50 

Regional waste statistics ........................................................................................................................................................ 196 

Regional waste water statistics............................................................................................................................................... 194 

Regional Water statistics........................................................................................................................................................ 193 

Road safety............................................................................................................................................................................. 180 

235 

 
Regional and Urban Statistics – Reference Guide 2006 

Road transport, stock of vehicles by category........................................................................................................................ 177 

Road, rail and navigable inland waterways network.............................................................................................................. 176 

S 

Secondary distribution of income account of households ........................................................................................................ 76 

Statistics on credit institutions........................................................................................................................................ 134, 137 

Structural business statistics by economic activity ................................................................................................................ 135 

Structure of agricultural holdings by region, main indicators .................................................................................................. 35 

T 

Total intramural R&D expenditure (GERD) by sectors of performance and region .............................................................. 121 

Total R&D personnel by sectors of performance (employment) and region.......................................................................... 121 

U 

Unemployment by sex and age, at NUTS levels 1, 2 and 3 ................................................................................................... 101 

Unemployment rates by sex and age, at NUTS levels 1, 2 and 3........................................................................................... 101 

Urban Audit indicators for core city....................................................................................................................................... 218 

Urban Audit indicators for larger urban zones ....................................................................................................................... 226 

Urban Audit indicators for sub-city districts .......................................................................................................................... 231 

Urban Audit perception survey results ................................................................................................................................... 232 

Urban Audit variables for core city........................................................................................................................................ 206 

Urban Audit variables for larger urban zones ........................................................................................................................ 214 

236