Pocketbook on candidate and potential candidate countries : 2007 edition.
Date: 2007-07-13
Institutions: Eurostat
Subjects: EU statistics, accession to the European Union, statistical method

Pocketbooks

Pocketbook on Candidate 
and Potential 
Candidate countries

2007 edition

EuropEan Commission

Europe Direct is a service to help you find answers  
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Luxembourg: office for official publications of the European Communities, 2007

isBn 978-92-79-05217-0
Cat. no. Ks-77-07-177-En-C

Theme: General and regional statistics
Collection: Pocketbooks

© European Communities, 2007

Printed in Belgium

Printed on white chlorine-free PaPer

 
Tacis_Pocketbook_Preface_TOC.qxp  28/06/2007  14:57  Page III

‘Pocketbook oon CCandidate aand PPotential CCandidate ccountries’

This  publication  has  been  produced  by  Unit  E4  of  Eurostat,
responsible  for  statistical  co-operation  with  European  and
Mediterranean countries.

The opinions expressed are those of the individual authors alone and
do not necessarily reflect the position of the European Commission.

Director oof DDirectorate EE
Mr P. Everaers

Head oof UUnit EE4
Mr A. Butkevicius

Co-oordinators

Mrs R. Montgomery
Eurostat Unit E4
Statistical Office of the European Communities
Bâtiment Jean Monnet
rue Alcide de Gasperi
L-2920 Luxembourg (Kirchberg)
e-mail: : Rosemary.MONTGOMERY@ec.europa.eu
fax: (+352) 4301 32139

Production

Data  collection,  data  processing,  statistical  analysis,  design  and
desk-top  publishing  by  Artemis  Information  Management  S.A.
(Luxembourg):  Christophe  Baratelli,  Mario  Colantonio,  Christiane
Gengler, Karen Ifrah, Alessandro Lupi, Petronela Reinecke, Gabe de
Vries.

Credits

It would not have been possible to make this publication without the
considerable amount of co-operation and goodwill received from a
large number of persons working in the National Statistical Institutes
of the Candidate and Potential Candidate countries.

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Tacis_Pocketbook_Preface_TOC.qxp  28/06/2007  14:57  Page IV

MMEEMMBBEERR SSTTAATTEESS –– CCOONNTTAACCTT DDEETTAAIILLSS
BBUULLGGAARRIIAA ((BBGG))
National Statistical Institute
2, P. Volov Str.
BG-1038 Sofia
http://www.nsi.bg
RROOMMAANNIIAA ((RROO))
National Institute of Statistics
16, Libertatii Avenue, Sector 5
RO-70542 Bucharest
http://www.insse.ro

CCAANNDDIIDDAATTEE CCOOUUNNTTRRIIEESS - CCOONNTTAACCTT DDEETTAAIILLSS
CCRROOAATTIIAA ((HHRR))
Central Bureau of Statistics of Croatia
Ilica 3, PO Box 671
10000 Zagreb
http://www.dzs.hr
TTHHEE FFOORRMMEERR YYUUGGOOSSLLAAVV RREEPPUUBBLLIICC OOFF MMAACCEEDDOONNIIAA ((MMKK**))
State Statistical Office
Dame Gruev 4, PO Box 506
Skopje - Former Yugoslav Republic of Macedonia
http://www.stat.gov.mk
* Provisional code which does not prejudge in any way the definitive nomenclature
for this country (which will be agreed following the conclusion of negotiations
currently taking place on this subject at the United Nations).
TTUURRKKEEYY ((TTRR))
Turkish Statistical Institute (TURKSTAT)
114 Necatibey Caddesi
06100 Ankara
http://www.die.gov.tr

PPOOTTEENNTTIIAALL CCAANNDDIIDDAATTEE CCOOUUNNTTRRIIEESS - CCOONNTTAACCTT DDEETTAAIILLSS
AALLBBAANNIIAA ((AALL))
Institute of Statistics
Rr. Leke Dukagjini 5
Tirana
http://www.instat.gov.al
BBOOSSNNIIAA AANNDD HHEERRZZEEGGOOVVIINNAA ((BBAA))
Agency for Statistics of Bosnia and Herzegovina
Zelenih Beretki 26
71000 Sarajevo
http://www.bhas.ba
SSEERRBBIIAA ((RRSS))
Statistical Office of the Republic of Serbia (SORS)
Milana Rakica 5
11000 Belgrade
http://www.statserb.sr.gov.yu
MMOONNTTEENNEEGGRROO ((MMEE))
Statistical Office of the Republic of Montenegro (MONSTAT)
IV Proleterske 2
81000 Podgorica
http://www.monstat.cg.yu
KKOOSSOOVVOO ((XXKK**))
Statistical Office in Kosovo (SOK)
Rr Zenel Salihu Nr 4
Pristina
http://www.ks-gov.net/esk
* IIMPORTANT NNOTE: Kosovo is under international administration in line with United Nations
Security Council Resolution (UNSCR) 1244 of 10 June 1999; XK is an unofficial code (which
does not prejudge in any way the definitive nomenclature).

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Tacis_Pocketbook_Preface_TOC.qxp  28/06/2007  14:57  Page V

TTaabbllee ooff CCoonntteennttss

1. DDemography  .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..1
Population and population density  . . . . . . . . . . . . . . . . . . . . .2
Population growth  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .4
Population growth and population breakdown by age group  . .6
Crude birth, death and natural increase rates  . . . . . . . . . . . . .8
Fertility, infant mortality and life expectancy  . . . . . . . . . . . . . .10

2. EEducation  .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..13
Early school leavers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .14
Completion of upper secondary education  . . . . . . . . . . . . . .16
Number of pupils/students by ISCED level of education  . . . . .18
Tertiary graduates in science and technology  . . . . . . . . . . . . .20
Expenditure on education and participation in training . . . . . .21

3. SSocial iindicators  .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..23
Wages and salaries and the equality of income distribution  . .24
Social inequality  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .26
Household consumption expenditure and social expenditure  .28

4. LLabour fforce  .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..31
Employment rates and activitiy rates  . . . . . . . . . . . . . . . . . . .32
Employment rates and activity rates by gender . . . . . . . . . . . .34
Employment rates for older workers (aged 55-64)  . . . . . . . . .36
Number of persons employed and employment by sector . . . .38
Unemployment rates  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .40
Youth and long-term unemployment rates  . . . . . . . . . . . . . . .42

5. NNational aaccounts  .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..45
GDP  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .46
Final consumption expenditure and breakdown of GDP  . . . . .48
External trade relative to GDP  . . . . . . . . . . . . . . . . . . . . . . .50
Breakdown of gross value added by sector  . . . . . . . . . . . . . .52
Labour productivity and employment change . . . . . . . . . . . . .56

6. FFinance .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..59
General government deficit and debt  . . . . . . . . . . . . . . . . . .60
General government debt and gross foreign debt  . . . . . . . . .61
Balance of payments and the current account  . . . . . . . . . . . .64
Foreign direct investment (FDI)  . . . . . . . . . . . . . . . . . . . . . . .66
Money supply and interest rates  . . . . . . . . . . . . . . . . . . . . . .68
Exchange rates and consumer price indices  . . . . . . . . . . . . .70

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7. AAgriculture  .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..73
Utilised agricultural area  . . . . . . . . . . . . . . . . . . . . . . . . . . .74
Utilised agricultural area, wooded area and other land  . . . . .76
Livestock and dairy cows  . . . . . . . . . . . . . . . . . . . . . . . . . . .78
Animals for slaughter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .80
Crop production  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .82

8. EEnergy  .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..85
Energy intensity, electricity generation and renewable energy  .86
Primary production of energy  . . . . . . . . . . . . . . . . . . . . . . . .88
Energy balance sheet and energy consumption  . . . . . . . . . . .90
Breakdown of final energy consumption  . . . . . . . . . . . . . . . .92

9. IIndustry, cconstruction aand sservices .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..95
Production and output price indices  . . . . . . . . . . . . . . . . . . .96
Construction output and construction costs  . . . . . . . . . . . . . .98
Retail trade and tourism . . . . . . . . . . . . . . . . . . . . . . . . . . .100

10. TTransport  .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..103
Transport infrastructure  . . . . . . . . . . . . . . . . . . . . . . . . . . .104
Inland transport and number of cars . . . . . . . . . . . . . . . . . .106
Freight transport  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .108

11. CCommunication aand IInformation SSociety  .. .. .. .. .. .. .. .. ..109
Fixed and cellular telephony . . . . . . . . . . . . . . . . . . . . . . . .110
Personal computers and the Internet  . . . . . . . . . . . . . . . . . .112
Enterprises and the information society  . . . . . . . . . . . . . . . .114

12. EExternal ttrade  .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..115
Total external trade  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .116
External trade with the EU  . . . . . . . . . . . . . . . . . . . . . . . . .118
Trade balance  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .121
Breakdown of exports and imports  . . . . . . . . . . . . . . . . . . .122
External trade by partner  . . . . . . . . . . . . . . . . . . . . . . . . . .124

13. RResearch && DDevelopment  .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..127
Expenditure on research and development  . . . . . . . . . . . . .128

14. EEnvironment  .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..131
Greenhouse gas emissions and municipal waste  . . . . . . . . .132

Methodological nnotes .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..135

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IInnttrroodduuccttiioonn

On 1 January 2007, the European Union admitted two new Member
States,  Bulgaria  and  Romania.  This  expansion  followed  a  wider
enlargement on 1 May 2004, which saw the EU increase from 15 to
25  Members.  Currently,  three  countries,  Croatia,  the  former
Yugoslav Republic of Macedonia and Turkey are formal Candidate
countries,  with  negotiations  on  EU  membership  for  Croatia  and
Turkey opening on 3 October 2005. A number of other countries in
the region are considered potential candidate countries. 

This  publication  presents,  for  the  period  before  the  latest
enlargement,  a  range  of  statistics  for  candidate  and  potential
candidate  countries  together  with  data  for  the  new  Member  States
and for the EU-25. 
The eenlargement pprocess

In  order  to  join  the  European  Union,  Candidate  countries  need  to
fulfil a range of economic and political conditions that are known as
the  'Copenhagen  criteria'.  Prospective  Member  States  should  be
stable democracies, respect human rights, the rule of law, and the
protection of minorities, have a functioning market economy, as well
as adopting the common rules, standards and policies that make up
the body of EU law (often referred to as the 'acquis communautaire')
and to have the administrative capacity to implement this acquis. The
European  Union  assists  Candidate  countries  in  adapting  their
economic and political conditions to meet EU laws, and provides a
range of financial assistance to improve infrastructure and economic
and political systems and to build sustainable institutional capacities.

The  Stabilisation  and  Association  process  (SAP)  is  the  EU's  policy
framework  for  the  Potential  Candidate  countries:  namely  Albania,
Bosnia  and  Herzegovina,  Montenegro,  Serbia  and  Kosovo  (as
defined  by  the  United  Nations  Security  Council  Resolution  1244).
Croatia and the former Yugoslav Republic of Macedonia, which are
Candidate  countries,  remain  part  of  this  process,  while  also
benefiting from pre-accession assistance.
Financial aassistance

The EU provides specific targeted financial assistance for Candidate
and Potential Candidate countries in order to support their efforts to
enhance political, economic and institutional reforms.

The  new  Instrument  for  Pre-Accession  Assistance  (IPA)  came  into
force  on  1  January  2007,  bringing  all  pre-accession  support  into
one  single  instrument.  IPA  replaces  the  2000-2006  pre-accession
financial  instruments  PHARE  (which  principally  involved  institution
building  measures,  as  well  as  funding  for  economic  and  social
cohesion  measures),  ISPA  (dealing  with  large-scale  environmental
projects and transport infrastructure investment), SAPARD (supporting
agricultural and rural development) and the financial instrument for
for
the  Western  Balkans  CARDS 
Reconstruction, Development and Stabilisation).

(Community  Assistance 

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Tacis_Pocketbook_Preface_TOC.qxp  28/06/2007  14:57  Page VIII

IPA  covers  the  countries  with  candidate  status  (Croatia,  the  former
Yugoslav  Republic  of  Macedonia  and  Turkey)  and  potential
candidate  status  (Albania,  Bosnia  and  Herzegovina,  Montenegro,
Serbia and Kosovo/UNSCR 1244).

Monitoring aand aassessment

In  order  to  assess  the  progress  being  made  by  the  Candidate  and
Potential  Candidate  countries  in  terms  of  political  and  economic
developments, the European Commission submits regular reports on
progress made. For the Candidate countries these follow an annual
frequency,  with  the  reports  being  submitted  to  the  Council.  The
country  specific  reports  detail  the  progress  made  by  each  country
with respect to the criteria for membership of the European Union,
and  also  provide  details  relating  to  areas  where  further  follow-up
and  change  may  be  required  before  the  criteria  for  accession  are
met. As with the Candidate countries, the Commission also produces
annual SAP reports for the Potential Candidate countries, which are
used  to  measure  progress  and  readiness  to  move  closer  to  the
European Union.
Eurostat's rrole

Eurostat, the Statistical Office of the European Communities, follows
the progress being made by the Candidate and Potential Candidate
countries  within  the  area  of  official  statistics.  Eurostat  supports
National Statistical Institutes (NSIs) in their efforts to align their data
with European and international standards, by providing assistance
to develop statistical systems. The co-operation activities of Eurostat
are  divided  according  to  geographical  regions.  Eurostat  Unit  E4
deals with statistical co-operation with European and Mediterranean
countries. Part of the work involves the collection of data, and this
forms the basis for the information included within this publication. 
Background tto tthe pproject

As  part  of  the  co-operation  with  NSIs  from  the  Candidate  and
Potential  Candidate  countries,  Eurostat  Unit  E4  launched  in  the
spring of 2005 a regular data collection exercise. The project initially
drew  up  a  list  of  approximately  300  indicators,  covering  a  broad
spectrum of statistics. Requests for data were sent in May 2005 and
the first data collection exercise was completed in July 2005, when
the  information  received  was  published  on  the  Eurostat  website  (1).
Eurostat  continued  collecting  data  and  updating  the  website  in
2006,  and  will  continue  to  do  so  in  2007.  Note  that  all  of  the
information  presented  is  provided  by  the  NSIs.  External  trade
statistics  are  not  collected  as  part  of  this  project  but  are  collected
separately by Eurostat's external trade statistics unit (Unit G3). Once
the data sets for each country have been validated, the information
is transformed so that it may be published on Eurostat's website and
in this way made available to external users.

(1) Available at: http://epp.eurostat.ec.europa.eu

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Guide tto tthe sstatistics
Data ssources

EU-25  data  that  are  presented  for  the  purpose  of  comparison  has
been  processed  and  calculated  by  Eurostat  on  the  basis  of
information provided by the NSIs of the 25 Member States as of 1st
of  May  2004  with  or  without  estimates  (for  the  EU-27  aggregates
with newly acceding countries Bulgaria and Romania, please refer to
the latest Eurostat's publications). The information was extracted from
Eurostat's  free  dissemination  database.  For  Bulgaria,  Romania  and
all Candidate and Potential Candidate countries, the vast majority of
the data were provided by the NSIs. In the event that the data for a
particular  indicator  were  not  provided  to  Eurostat  by  the  NSIs,  the
source  of  the  information  is  footnoted  under  each  table  or  graph.
The only statistical theme where the data were processed directly by
Eurostat was that of external trade (except for Serbia). For Bulgaria,
Romania, Croatia, the former Yugoslav Republic of Macedonia and
Turkey,  external  trade  data  were  extracted  from  the  ‘Enlargement’
domain of Eurostat's external trade database, COMEXT. For Albania
and  Bosnia  and  Herzegovina  the  data  were  taken  from  the
COMTRADE  domain  (source:  United  Nations)  of  COMEXT.  For
Montenegro the data were taken from the Statistical Yearbook 2005,
whereas for Serbia the data provided by the NSI were used. The data
for  Kosovo/UNSCR  1244  were  taken  from  the  ‘Western  Balkan’
domain of COMEXT.
Timeliness

The data used in this publication were collected from the Candidate
and Potential Candidate countries during August 2006 and formed
part  of  the  second  round  of  data  collection  exercise  of  2006.  The
database was finalised in December 2006. The majority of indicators
are available up until reference year 2004 or 2005 (depending upon
the statistical theme and territory). External trade statistics for the EU-
25,  the  Candidate  and  Potential  Candidate  countries  were
processed  in  October  2006  and  are  generally  available  up  to
reference  year  2005.  The  EU-25  totals  that  are  provided  for  the
purpose  of  comparison  were  extracted  from  Eurostat's  free
dissemination  database  during  the  period  September  2006  –
January  2007.  As  with  the  data  for  the  Candidate  and  Potential
Candidate  countries,  the  information  presented  is  generally
available up until reference years 2004 or 2005 (depending upon
the indicator in question).

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Publication fformat

The  data  presented  are  structured  according  to  a  number  of
statistical  themes,  following  quite  closely  the  structure  of  the  data
questionnaire  that  was  sent  to  each  of  the  NSIs.  Each  theme  is
identified  by  a  chapter  number.  The  standard  structure  of  the
publication is to arrange information for a particular subject on a set
of facing pages. Usually this takes the form of a large table or graph
on the first page, followed by a short text and a small table or graph
on  the  second  page.  Where  possible,  related  indicators  were
selected for each set of facing pages. The supporting text is intended
to  guide  the  reader  in  the  use  of  the  data  (either  by  providing
definitions  of  the  indicators  presented,  or  by  drawing  attention  to
peculiarities that should be considered when interpreting the data).
More detailed methodological notes are provided at the end of the
publication. 
Exchange rrates

For  some  indicators  monetary  values  were  requested  from  the
Candidate  and  Potential  Candidate  countries  in  terms  of  national
currency denominations. However, for the majority of the monetary
indicators  data  were  requested  in  euro  (EUR)  terms.  For  a  limited
number of cases, the information provided was sent in an alternative
denomination (usually in national currency or in US dollars). In these
cases, Eurostat transformed the series using official exchange rates
(annual averages for the reference year in question) so that data for
all indicators foreseen in euro terms are denominated in the same
currency. Technically data that are presented in euro terms prior to
1999 should be denominated in ECU. However, as the conversion
rate was ECU 1 = EUR 1, for practical purposes the terms may be
used interchangeably and this publication denotes all such monetary
series  in  euro  (EUR).  While  the  conversion  to  a  common  currency
unit facilitates comparisons of data between countries, fluctuations in
currency markets are partially responsible for movements identified
when  looking  at  the  evolution  of  a  series  for  an  indicator  that  is
denominated  in  euro.  A  table  is  provided  with  information  on  the
annual average exchange rates between the euro and the currencies
of the Candidate and Potential Candidate countries (please refer to
Chapter 6 – Table 6.7).
Geographical ccoverage

The  data  presented  for  the  EU-25  covers  all  25  Member  States
throughout  the  period  considered  in  each  table  and  graph
regardless of whether there were 15 or 25 members in the reference
year concerned (in other words, the data have been back-calculated
with a stable coverage). Information for Germany is presented on a
post-unification basis throughout the period considered. 
Non-aavailability

The  colon  (:)  is  used  in  tables  to  represent  data  that  are  not
available,  either  because  they  were  not  provided  to  Eurostat  or
because  they  were  confidential.  In  the  graphs  (figures),  missing
information is footnoted.

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Abbreviations aand uunits
CO2
Carbon dioxide
COICOP Classification of individual consumption according to purpose
CPI
ECU
ESA95
FAO
FDI
GDP
GHG
GWh

Consumer price index
European currency unit
European system of accounts (1995)
Food and Agriculture Organization
Foreign direct investment
Gross domestic product
Greenhouse gases
Gigawatt hour(s) = 1 000 MWh (megawatt hour(s)) = 106 
kWh (a kilowatt hour is a unit of energy equivalent to one 
kilowatt of power expended for one hour of time
Unit of measure for counting the number of animals 
Unit of area equal to 100 ares or 10 000 square metres
Harmonised Consumer Price Index
International Monetary Fund
Industrial production index
International standard classification of education (UN 
classification)
Kilogram (1 000 grams), a unit of mass
Kilometre (1 000 metres), a unit of distance
Square kilometre, a unit of area
Labour force survey
Narrowest category of the money supply, includes physical 
money (coins & currency); used as a measurement to quantify
the amount of money in circulation
A broader measure of money supply that includes M1, time-
related deposits, savings deposits, and noninstitutional 
money-market funds
Statistical classification of economic activities in the European
Community 
Not elsewhere classified
Non-profit institutions serving households

Heads
hectare
HICP
IMF
IPI
ISCED

kg
km
km²
LFS
M1

M2

NACE

n.e.c.
NPISH
OECD Organisation for Economic Co-operation and Development
PPI
SDR
SITC
tonne
TOE

Producer price index (output price index)
Special drawing rights
Standard international trade classification
1 tonne = 1 000 kg
Tonne of oil equivalent = 42 GJ (net calorific value)
Tonne-km Unit of measure of goods transported which 
represents the transport of one tonne over one kilometre
Tonne-km/GDP
this indicator adjusts tonne-km by GDP and provides a 
measure of transport intensity
Utilised agricultural area

See above for definition of tonne-km; 

UAA

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Countries
EU-225
BG
RO
HR
MK (2)
TR
AL
BA
RS
ME
XK (3)

25 Member States of the European Union
Bulgaria
Romania
Croatia
the former Yugoslav Republic of Macedonia
Turkey
Albania
Bosnia and Herzegovina
Serbia
Montenegro
Kosovo/UNSCR 1244

Currency
EUR
BGN
RON
HRK
MKD
TRY
ALL
BAM
CSD

Euro
New Bulgarian lev
New Romanian leu
Croatian kuna
Denar (the former Yugoslav Republic of Macedonia)
New Turkish lira
Albanian lek
Convertible mark (Bosnia and Herzegovina)
Serbian dinar (Republic of Serbia)

Symbols
%
:
~

percentage
not available
not applicable

(2)  Provisional  code,  which  does  not  prejudge  in  any  way  the  definitive  nomenclature  for  this
country (which will be agreed following the conclusion of negotiations currently taking place on
this subject at the United Nations).

(3) IMPORTANT NOTE:  Kosovo is under international administration in line with United Nations
Security Council Resolution (UNSCR) 1244 of 10 June 1999; XK is an unofficial code (which does
not prejudge in any way the definitive nomenclature).

XII

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Tacis_Pocketbook_MethNotes.qxp  228/06/2007  112:45  PPage 1135

MMeetthhooddoollooggiiccaall NNootteess

The  following  notes  are  presented  in  the  same  order  as  the
indicators  within  the  main  body  of  the  publication,  structured
according to the chapter headings. At the end of this section there
are  details  of  three  classifications  that  have  been  used  for  the
presentation of data. More information may be found on these by
referring  to  the  RAMON  classifications  server,  which  can  be
accessed through the Eurostat web-site at: 
http://ec.europa.eu/eurostat/ramon

1. DDemography

Population  data should  provide  a  count  of  the  number  of
inhabitants in a given area as of 1 January of the reference year
in  question.  Population  data  may  be  based  on  information
available  from  the  most  recent  census,  adjusted  by  the
components  of  population  change  (the  number  of  births  and
deaths, and the net result of migration into and out of the territory
concerned). Alternatively, population data may be compiled from
administrative registers. 

Population density measures the number of inhabitants per square
kilometre (km²). The information should be based upon the mid-
year population of a territory in relation to the size of the territory.
The  land  area  covered  by  a  territory  generally  includes  inland
waterways (rivers, lakes etc).
Data on crude birth rates and crude death rates are expressed in
terms of the number of births or deaths per thousand inhabitants.
These rates are a measure of the number of births or deaths in a
reference  year  divided  by  the  average  population  of  the  same
reference year.

Fertility  rates for  a  given  reference  year  are  measured  as  the
average  number  of  children  that  would  be  born  to  a  woman
during  her  lifetime  if  she  were  to  pass  through  her  childbearing
years  conforming  to  the  average  fertility  rates  of  each  year.  The
data  therefore  represent  the  completed  fertility  of  a  hypothetical
generation of women, with the overall figure being computed as
the  sum  of  the  fertility  rates  for  each  age  (with  the  number  of
women assumed to be the same for each age).

Infant  mortality  rates  are  measured  as  the  ratio  of  deaths  of
children  under  the  age  of  one,  in  relation  to  the  number  of  live
births during the same reference year; the result is expressed as a
ratio per thousand live births.

Life expectancy at birth is the average number of years a person
would  live  if  age-specific  mortality  rates  observed  for  a  certain
calendar year or period were to continue.

135

Tacis_Pocketbook_MethNotes.qxp  28/06/2007  12:45  Page 136

2. EEducation

The proportion of early school leavers is computed as those aged
18 to 24 who have not completed upper secondary education and
who  are  not  in  any  other  form  of  education  or  training.  The
numerator  refers  to  persons  aged  18  to  24  in  the  following  two
conditions:  the  highest  level  of  education  or  training  attained  is
ISCED  0  (pre-primary  education),  ISCED  1  (primary  education)  or
ISCED 2 (lower secondary education); the respondent declared not
having  received  any  education  or  training  in  the  four  weeks
preceding the (LFS) survey. The denominator is the total population
of  the  same  age  group  (those  aged  from  18  to  24),  excluding
persons  having  not  answered  questions  concerning 
their
participation in education and training.

The proportion of the population aged 20 to 24 having completed
at least upper secondary education is defined as the percentage of
young people (aged 20 to 24) having attained (completed) at least
the upper secondary education attainment level, in other words, with
at  least  an  education  level  of  ISCED  3  ((upper)  secondary
education). The denominator consists of the total population of the
same age group (aged 20 to 24), and excludes persons having not
answered questions concerning their participation in education and
training. The expression 'having attained' should be associated with
obtaining  a  certificate  or  diploma.  In  cases  where  there  is  no
certification,  successful  completion  must  be  associated  with  full
attendance of the course.

The  indicator  of  tertiary  graduates  in  science  and  technology  per
thousand  population  aged  20  to  29 is  calculated  by  dividing  the
number  of  graduates  (of  all  ages)  in  the  fields  of  science  and
technology  by  the  total  population  aged  20  to  29  and  then
multiplying by a thousand.

Public  expenditure  on  education is  expressed  as  a  proportion  of
GDP.  Generally,  the  public  sector  funds  education  by:  financing
current  and  capital  expenditure  of  educational  institutions;
supporting students and their families with scholarships and public
loans, and transferring public subsidies for educational activities to
private  firms  or  non-profit  organisations  (transfers  to  private
households and firms).

The information on life-long learning presents the proportion of the
population  aged  25  to  64  who  participated  in  education  and/or
training  (at  any  time  during  a  four  week  period  prior  to  being
surveyed  by  the  LFS).  The  information  collected  relates  to  all
education  or  training  and  includes  formal  and  non-formal
education: initial education, continuing or further training, training
within an enterprise, apprenticeships, on-the-job training, seminars,
distance learning, evening classes. It also includes general interest
courses,  such  as  language  courses,  computing,  management,
art/culture and health/medicine courses.

136

Tacis_Pocketbook_MethNotes.qxp  228/06/2007  112:45  PPage 1137

3. SSocial iindicators

The inequality of income distribution is measured as the ratio of total
income  received  by  the  20  %  of  the  population  with  the  highest
incomes  (the  top  quintile)  to  that  received  by  the  20  %  of  the
population  with  the  lowest  incomes  (the  lowest  quintile).  This
calculation should be made on the basis of equivalised disposable
income, which is calculated for each household by adding together
the income received by all members of the household and dividing
by the equivalised household size (which is calculated as the sum of
the persons in the household on the basis of the following weights:
1.0 to the first adult, 0.5 to other persons aged 14 or over who are
living in the household, and 0.3 to each child aged less than 14).

The gender pay gap is expressed as a percentage of average gross
hourly  earnings  of  male  paid  employees  and  relates  to  all  paid
employees (who work at least 15 hours per week) between the ages
of 16 and 64.

The tax wedge is defined as the proportion of total labour costs that
are  accounted  for  by  income  tax  on  gross  wage  earnings,
employee's and employer's social security contributions.

Total  labour  costs are  defined  as  gross  earnings  plus  employer's
social  security  contributions  and  payroll  taxes  (where  applicable).
The  indicator  is  compiled  for  single  persons  without  children  who
are earning 67 % of the average earnings of a full-time production
worker (APW).

The unemployment trap measures the proportion of gross earnings
which is taxed away by higher tax and social security contributions
and  the  withdrawal  of  unemployment  and  other  benefits  when  an
unemployed  person  moves  into  employment.  This  indicator  is
defined as the difference between gross earnings and the increase
in  net  income  when  moving  from  unemployment  to  employment,
expressed  as  a  proportion  of  gross  earnings.  This  indicator  is
compiled  for  single  persons  without  children  earning  67%  of  the
APW.

The  proportion  of  the  population  living  in  jobless  households is
measured  for  two  sub-populations,  children  aged  0  to  17,  and
persons aged 18 to 59. In both cases the number of persons living
in jobless households is expressed as a proportion of the total sub-
population (in other words, as a share of all children aged 0 to 17
or as a share of all persons aged 18 to 59). The information covers
all persons living in private households (except for students aged 18
to 24 who live in households composed solely of students; these are
not counted in either the numerator or denominator).

Household  consumption  expenditure measures  the  value  of  all
goods  and  services  that  are  used  for  directly  meeting  household
needs.  It  covers  actual  expenditure  on  purchases  of  goods  and
services, own consumption such as products from kitchen gardens,
and imputed rents for owner-occupied dwellings.

137

Tacis_Pocketbook_MethNotes.qxp  28/06/2007  12:45  Page 138

Investment  effected  by  households,  direct  duties  and  taxes  paid  to
various  administrations,  savings,  social  transfers  in  kind  and
voluntary  transfers  in  cash  or  in  kind  to  charities  and  aid
organisations are excluded.

Health  expenditure should  ideally  be  provided  in  relation  to  the
System of Health Accounts (SHA), which defines total expenditure on
health  as  'the  final  use  of  resident  units  of  health  care  goods  and
services  plus  gross  capital  formation  in  health  care  provider
industries'.  This  indicator  is  expressed  as  a  proportion  of  GDP  in
current price terms.

Data  on  social  protection  expenditure should  ideally  be  drawn  up
according  to  the  ESSPROS  (European  System  of  integrated  Social
Protection  Statistics)  methodology.  Social  benefits  consists  of
transfers,  in  cash  or  in  kind,  by  social  protection  schemes  to
households  and  individuals  to  relieve  them  of  the  burden  of
sickness/health  care,  disability,  old  age,  survivors,  family/children,
unemployment,  housing,  and  social  exclusion  not  elsewhere
classified.  This  indicator  is  expressed  as  a  proportion  of  GDP  in
current price terms.

4. LLabour fforce

Employed  persons are  defined  in  the  Labour  Force  Survey  (LFS)  as
persons aged 15 years or more who did any work for pay or profit
during the reference week.

The  labour  force is  defined  as  those  employed  and  those
unemployed,  in  other  words,  those  working  and  those  seeking  to
work.

Activity rates for persons aged between 15 and 64 are defined as the
proportion of persons aged between 15 and 64 in the labour force
in relation to the total population of the same age. Activity rates for
men  and  for  women  are  expressed  as  a  percentage  of  the  male
population aged 15 to 64 and the female population aged 15 to 64
respectively, not as a share of the total (male and female) population
aged 15 to 64.

Employment rates for persons aged between 15 and 64 are defined
as the proportion of employed persons aged between 15 and 64 in
the total population of the same age. Employment rates for men and
women are expressed as a percentage of the male population aged
15 to 64 and the female population aged 15 to 64 respectively, not
as a share of the total (male and female) population aged 15 to 64.

The employment rate of older workers (defined as those aged 55 to
64) is defined in much the same way as for total employment rates,
except  that  the  numerator  and  the  denominator  are  changed  to
reflect the age group of this sub-population.

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Unemployed persons are defined as those aged 15 to 74 years who
were not employed during the reference week of the survey, but who
had actively sought work during the previous four weeks prior to the
survey  and  were  ready  to  begin  working  within  two  weeks.
Unemployment  rates  for  men  and  women  are  expressed  as  a
proportion of the male labour force aged 15 to 74 and the female
labour force aged 15 to 74 respectively, not as a share of the total
(male and female) labour force aged 15 to 74.

Youth unemployment rates for men and women are expressed as a
proportion of the male labour force aged 15 to 24 and the female
labour force aged 15 to 24 respectively, not as a share of the total
(male and female) labour force aged 15 to 24.

The duration of long-term unemployment is defined in terms of the
period spent searching for a job, or as the period since the last job
was held (if this period is shorter than the duration of search for a
job).  As  with  other  unemployment  rates,  long-term  unemployment
rates for men and women are expressed as a proportion of the male
labour force aged 15 to 74 and the female labour force aged 15
to  74  respectively,  not  as  a  share  of  the  total  (male  and  female)
labour force aged 15 to 74.

5. NNational aaccounts

GDP per capita is an indicator that is derived through the division of
GDP by the total population. The population data should consist of
all persons, national or foreign, who are permanently settled in the
economic territory, even if they are temporarily absent. This means
that total population is defined using the concept of residence rather
than  nationality.  Note  that  population  figures  from  national
accounts  may  vary  when  compared  with  those  for  demographic
statistics.

Final  consumption  expenditure  (ESA95)  consists  of  expenditure
incurred by resident institutional units on goods or services that are
used for the direct satisfaction of individual needs or wants or the
collective needs of members of the community.

Private final consumption expenditure (ESA95) includes households'
and  NPISH’s  (non-profit  institutions  serving  households)  final
consumption  expenditure.  Households  consist  of  employers,
employees,  recipients  of  property  incomes,  recipients  of  pensions,
recipients  of  other  transfer  incomes.  NPISHs  consist  of  non-profit
making  institutions  which  are  separate  legal  entities,  which  serve
households and which are private non-market producers.

Government  final  consumption  expenditure  (ESA95)  includes  the
value of goods and services produced by general government itself
(other than own-account capital formation and sales) and purchases
by general government of goods and services produced by market
producers that are supplied to households (without transformation)
as social transfers in kind.

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Gross capital formation (ESA95) is comprised of gross fixed capital
formation  and  stock  variations.  Gross  fixed  capital  formation
consists  of  resident  producers'  acquisitions  (less  disposals)  of  fixed
assets  (tangible  or  intangible)  during  a  given  period,  plus  certain
additions  to  the  value  of  non-produced  assets  realised  by  the
productive activity of producer or institutional units.

Imports of goods and services are recorded on the resources side of
the account and exports of goods and services on the uses side. The
difference between uses and resources is the balancing item in the
account, referred to as the external balance of goods and services.

The  average  of  imports  and  exports  of  goods  and  services  as  a
proportion  of  GDP is  calculated  by  simply  summing  imports  and
exports (both should be given as positive values) and dividing by 2
(to  create  the  mean  of  exports  and  imports).  The  result  is  then
divided by GDP and multiplied by 100.

Gross value added (ESA95) is measured at market prices. It can be
defined as final output minus intermediate consumption.

Labour productivity is defined as GDP at constant prices divided by
total employment (covering both employees and the self-employed).

Unit  labour  costs are  defined  in  two  steps.  The  numerator  is
composed  of  compensation  per  employee,  and  is  expressed  in
current prices. The denominator is GDP in current prices divided by
total employment. Compensation of employees (ESA95) is defined
as  the  total  remuneration,  in  cash  or  in  kind,  payable  by  an
employer to an employee in return for work done by the latter during
the  accounting  period.  It  consists  of  wages  and  salaries,  and
employers' social contributions. Employees (ESA95) are defined as
all  persons  who,  by  agreement,  work  for  another  resident
institutional  unit  and  receive  remuneration.  Total  employment
(ESA95) covers all persons (employees and the self-employed) who
are engaged in a productive activity that falls within the production
boundary of the system.

6. FFinance

The  general  government  deficit/surplus (ESA95)  refers  to  the
national accounts' concept of consolidated general government net
borrowing/net lending. It refers to net borrowing or lending over the
course  of  a  single  reference  year.  The  general  government  sector
comprises central government, state government, local government
and social security funds.

General government debt (ESA95) is the consolidated stock of gross
debt at nominal value at the end of the year. In other words, it is the
accumulated total debt (over the years) of a territory.

The  reference  framework  for  balance  of  payments statistics  is  the
International  Monetary  Fund's  (IMF)  balance  of  payments  manual
(fifth  edition).  Most  items  entered  in  the  current  account  of  the
standard components should show gross debits and credits. 

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The  current  account covers  all  transactions  (other  than  those  in
financial  items)  that  involve  economic  values  and  occur  between
resident  and  non-resident  entities.  Most  entries  in  the  capital  and
financial account should be made on a net basis, as a credit or a
debit.  Inflows  of  real  resources,  increases  in  financial  assets,  and
decreases in liabilities should be shown as debits; outflows of real
resources, decreases in financial assets, and increases in liabilities
should be shown as credits.

The reference framework for foreign direct investment (FDI) statistics
is  the  OECD's  benchmark  definition  of  foreign  direct  investment
(third edition), which was developed in line with the IMF's balance of
payments  manual  (fifth  edition).  Foreign  direct  investment  (FDI)  is
international investment made by an entity resident in one economy
(the  direct  investor)  to  acquire  a  lasting  interest  in  an  enterprise
operating in another economy.

Money supply aggregates are end of year stock data.

The  information  presented  for  interest  rates covers  day-to-day
money rates (which refer to deposit or loans on the money market
with  a  maturity  of  one  business  day),  lending  interest  rate  (interest
rate on loans, which forms the ceiling for money market rates) and
deposit interest rate (the central bank rate, which forms the floor for
money market rates).

Consumer price indices (CPIs) measure the change over time in the
prices of consumer goods and services acquired, used or paid for
by households.

7. AAgriculture

Total land area is measured in terms of square kilometres (km²) and
should  include  all  land  area,  as  well  as  inland  waterways  (rivers,
lakes, canals etc).

Utilised  agricultural  area (UAA)  corresponds  to  arable  land,
permanent  grassland,  permanent  crops  (vines,  orchards,  etc.),
kitchen gardens and crops under glass. Arable land refers to land
that is worked regularly, generally under a system of crop rotation.
Permanent grassland is land that is not included in a crop rotation
system, but instead is used for the permanent production (five years
or  more)  of  green  forage  crops  (whether  sown  or  self-seeded).
Permanent  crops  are  crops  that  are  not  grown  in  rotation,  which
occupy the soil for a long period and yield crops over several years
(grassland is excluded).

Wooded  areas are  defined  as  areas  covered  with  trees  or  forest
shrubs,  including  poplar  plantations  inside  or  outside  woods,  and
forest-tree  nurseries  grown  in  woodland  for  the  holding's  own
requirements, as well as forest facilities (forest roads, storage depots
for timber, etc.). 

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Commercial  forest-tree  nurseries  and  other  nurseries  outside
woodland, heath and moor land, parks, gardens (parks and lawns),
grassland  and  unutilised  rough  grazing,  areas  of  isolated  trees,
small  groups  or  lines  of  trees,  walnut  and  chestnut  trees  grown
mainly for their fruit, as well as other plantations of non-forest trees
and osieries are excluded.

Other land refers to all land, other than the total utilised agricultural
area and the wooded area.

All livestock data are recorded for the end of the reference year in
terms  of  units  of  livestock  (referred  to  as  heads  within  agricultural
statistics).  Cattle are  domestic  bovine  animals,  including  bovine
animals under one year old, and dairy cows. Dairy cows are defined
as  cows  which  by  reason  of  their  breed  or  particular  qualities  are
kept  exclusively  or  principally  to  produce  milk  for  human
consumption  or  for  processing  into  dairy  products.  These  include
cull  (taken  out  of  production)  dairy  cows  (whether  or  not  fattened
between their last lactation and their slaughter). Pigs are domestic
animals, which include piglets, breeding boars and sows, and cull
boars and sows. Poultry are defined as domestic animals including
broilers, laying hens, turkeys, ducks (including ducks for ‘foie gras’),
geese  (including  geese  for  ‘foie  gras’),  and  other  poultry  (for
example, quails, pheasants, guinea-fowl, pigeons, ostriches). Sheep
are domestic animals divided into breeding females (female sheep
which have lambed) and other sheep. Goats are defined in a similar
way  and  may  be  categorised  as  breeding  females  (female  goats
which  have  kidded)  and  other  goats.  All  data  relating  to  the
production  of  animals  for  slaughter are  recorded  in  terms  of  their
slaughter weight.

Information  relating  to  crop  production measures  the  volume  of
harvested production in terms of tonnage. Data for cereals refer to
crops  harvested  for  dry  grain  only,  as  crops  harvested  green  for
forage, silage or grazing are excluded (they are classified as fodder
crops).  The  heading  of  cereals includes  the  following:  common
wheat  and  spelt,  durum  wheat,  rye,  barley,  oats,  grain  maize,
sorghum, triticale, buckwheat, millet and canary seed. This heading
also covers rice. Sugar beet is a root crop which is intended for use
in  the  sugar  industry  and  for  alcohol  production;  seeds  are
excluded.  Oilseeds include  rape  (winter,  spring  and  turnip  rape),
sunflower  seed,  flax  seed,  soya  bean,  as  well  as  other  oil  seeds
(poppy,  mustard,  cotton,  earth  almond,  sesame,  groundnut).
Potatoes include early potatoes and seed potatoes. The production
of  fruit
includes  apples,  pears,  stoned  fruits  (such  as  apricots,
peaches,  plums,  cherries),  nuts,  citrus  fruits  (such  as  oranges  and
lemons),  soft  fruits  and  currants,  avocados,  figs  and  quinces.  The
production  of  vegetables  includes  all  fresh  vegetables  (not  dried
pulses)  and  melons  grown  outdoor  or  under  low  non-accessible
cover; vegetables grown principally for animal feed and cultivated
vegetables for seeds are excluded.

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8. EEnergy

Primary production of crude oil is defined as the quantities of fuel
extracted  or  produced  within  national  boundaries,  including  off-
shore  production,  with  production  including  only  marketable
production of crude oil, natural gas liquids (NGL), condensates and
oil from shale and tar sands, while excluding any quantities returned
to formation.

Primary  production  of  hard  coal  and  lignite is  defined  as  the
quantities  of  fuel  extracted  or  produced  after  any  operation  for
removal  of  inert  matter.  Production  generally  includes  quantities
consumed by the producer during the production process, as well as
any  quantities  supplied  to  other  on-site  producers  of  energy  for
transformation or other uses.

Primary production of natural gas is defined as the quantities of dry
gas, measured after purification and extraction of natural gas liquids
and sulphur. Production includes only marketable production used
within  the  natural  gas  industry,  in  gas  extraction,  pipeline  systems
and  processing  plants,  while  excluding  any  quantities  re-injected,
vented and flared, and any extraction losses.

Gross  inland  energy  consumption is  the  quantity  of  energy
consumed within the borders of a country. It may be calculated as
primary production plus recovered products plus imports plus stocks
changes  minus  exports  minus  bunkers  (quantities  supplied  to  sea-
going ships). Gross inland energy consumption is measured in terms
of tonnes of oil equivalent (TOE).

Net imports of energy products are defined as imports less exports
of all energy products.

Final  energy  consumption is  calculated  net  of  transformation  and
network losses, and also excludes consumption of the energy sector.

9. IIndustry, cconstruction aand sservices

The  industrial  production  index (IPI)  provides  a  measure  of  the
volume trend in value added at factor cost over a given reference
period.  In  practice,  however,  value  added  is  not  available  on  a
monthly  basis  in  most  countries.  Therefore,  data  is  generally
collected  for  variables  other  than  value  added,  with  possible
alternatives  including  gross  production  values,  volumes,  turnover,
work input, raw material input, energy input. The production index
is a volume index which should cover NACE Sections C and D and
NACE Groups 40.1 and 40.2.

The  industrial  producer  price  index (PPI)  should  reflect  domestic
producer  prices,  as  determined  by  the  residency  of  the  third  party
that  has  ordered  or  purchased  the  product,  which  should  be  the
same territory as the producer. Prices should be defined as ex-factory
prices  including  all  duties  and  taxes,  except  for  VAT  (and  similar
deductible  taxes  linked  to  turnover).  The  producer  price  index  for
total industry should cover NACE Sections C to E, excluding Groups
12.0, 22.1, 23.3, 29.6, 35.1 and 35.3. The basic form of the index
is an unadjusted (gross) index.

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The  volume  index  of  construction  output measures  changes  in  the
volume  of  construction  output  and  reflects  the  developments  in
value  added  at  factor  cost  over  a  given  reference  period.  The
volume index of construction output should cover NACE Section F.
The  basic  form  of  the  index  is  working-day  adjusted;  if  this  is  not
available an unadjusted index should be provided.

The construction cost index can be considered as a combination of
component cost indices (covering material costs and labour costs)
and shows the price developments of production factors used in the
construction  industry.  The  material  costs  measure  the  evolution  of
the prices of the materials that are used in the construction process.
The  prices  should  be  based  on  actual  rather  than  list  prices
(excluding VAT). The labour costs should cover wages and salaries,
as  well  as  social  security  charges  for  all  persons  employed.  The
basic form of the index is an unadjusted (gross) index.

The  volume  of  sales  index  for  retail  trade should  cover  the  total
turnover  invoiced  by  the  observation  unit  during  the  reference
period. Turnover should include all duties and taxes on the goods or
services invoiced by the unit, as well as all other charges (transport,
packaging,  etc.)  passed  on  to  the  customer,  even  if  these  charges
are listed separately in the invoice. Turnover excludes VAT and other
similar  deductible  taxes  directly  linked  to  turnover,  as  well  as  all
duties  and  taxes  on  the  goods  or  services  invoiced  by  the  unit.
Reduction  in  prices,  rebates  and  discounts  as  well  as  the  value  of
returned  packing  should  be  deducted.  The  index  should  cover
NACE  Division  52  (although  Group  52.7  may  be  excluded).  The
basic  form  of  the  index  is  working-day  adjusted;  if  this  is  not
available an unadjusted index should be provided.

The  number  of  arrivals  of  non-residents  staying  in  collective
accommodation  establishments  refers  to  arrivals  of  non-residents
travelling in a given area that is outside their usual environment. An
arrival  is  defined  as  a  person  who  arrives  at  a  collective
accommodation  establishment  and  checks  in.  Collective  tourist
include  hotels  and  similar
accommodation  establishments 
establishments,  specialised  establishments  (health  establishments,
work and holiday camps, conference centres and accommodation
in collective means of transport), and other collective establishments
(such  as  holiday  dwellings,  tourist  campsites  and  social  tourism
accommodation).

10. TTransport

A road may be defined as a line of communication using a stabilised
base other than rails or airstrips open to public traffic, primarily for
the use of road motor vehicles running on their own wheels. Note
that bridges, tunnels, supporting structures, junctions, crossings and
interchanges,  as  well  as  toll  roads  are  included,  while  dedicated
cycle paths are excluded. As such, this indicator should measure the
length (in kilometres) of state roads, provincial roads and communal
roads, but should ideally exclude motorways.

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The  length  of  railway  network should  measure  (in  kilometres)  the
length  of  railway  lines  operated  for  passenger  transport,  goods
transport, or for both. Lines solely used for tourist purposes during a
particular season are excluded, as are railways that are constructed
solely  to  serve  mines,  forests  or  other  industrial  or  agricultural
undertakings and which are not open to public traffic).

Motorways are defined as roads that have been especially designed
and built for motor traffic, providing separate carriage ways for two
directions  of  traffic  that  are  separated  from  each  other,  while  not
crossing at the same level any other road, railway or tramway track,
or footpath.

Passenger cars  may be defined as road motor vehicles, other than
motorcycles,  that  are  intended  for  the  carriage  of  passengers  and
designed to seat no more than nine persons (including the driver).
Hence,  the  data  presented  should  cover  micro-cars  (no  permit
required to be driven), taxis and hired passenger cars (with less than
ten seats), the only exception being minibuses.

Transport performance indicators should be reported according to
the  territoriality  principle,  meaning  that  only  freight  that  is
transported within the national territory should be included.

11. CCommunications aand IInformation SSociety

A main telephone line is one that connects the subscriber's terminal
equipment  to  the  public  switched  telephone  network,  with  a
dedicated  port  in  the  telephone  exchange  system.  This  is
synonymous with the term 'main station' or 'direct exchange line'.

Cellular  mobile  telephone  subscribers refer  to  users  of  portable
telephones  subscribing  to  an  automatic  public  mobile  telephone
service using cellular technology that provides access to the Public
Switched  Telephone  Network  (PSTN).  Active  pre-paid  cards  are
counted as subscriptions.

The  data  relating  to  Internet  access within  enterprises  refer  to  all
enterprises with 10 or more persons employed within NACE Sections
D, G, H, I and K. The data relating to use the Internet to interact with
public authorities (for example, obtaining information, downloading
forms, filling-in web-forms, full electronic case handling) refer to all
enterprises  with  10  or  more  persons  employed,  within  NACE
Sections D, F, G, H, I, K and O. 

The  proportion  of  enterprises’  turnover  from  Internet  e-commerce
refers  to  transactions  conducted  over  Internet  Protocol-based
networks;  the  goods  and  services  must  be  ordered  over  these
networks, but the payment and the ultimate delivery of the good or
service  may  be  conducted  on  or  off-line;  orders  received  via
telephone, facsimile, or manually typed e-mails are not counted as
electronic  commerce;  the  indicator  is  collected  for  all  enterprises
with 10 or more persons employed, within NACE Sections D, G, H,
I and K.

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12. EExternal ttrade

External  trade data  for  imports  cover  transactions  in  goods  and
services  (purchases,  barter,  gifts  or  grants)  from  non-residents  to
residents, whereas data for exports cover transactions in goods and
services  (sales,  barter,  gifts  or  grants)  from  residents  to  non-
residents. The statistical values are generally based on the customs
value.

13. RResearch aand ddevelopment ((R&D)

The  basic  methodological  recommendations  and  guidelines  for
research and development (R&D) statistics are found in the Frascati
Manual,  which  covers  the  measurement  of  all  scientific  and
technological  activities  at  the  national  level  (Proposed  Standard
Practice  for  Surveys  of  Research  and  Experimental  Development  -
Frascati  Manual,  OECD,  1994,  revised  2002).  R&D  is  defined  as
comprising 'creative work undertaken on a systematic basis in order
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'.  Gross  domestic  expenditure  on  R&D  refers  to
R&D  activities  in  the  business  enterprise  sector,  the  government
sector, the higher education sector, and the non-profit sector. GDP
figures  are  compiled  in  accordance  with  ESA95.  Indicators  are
calculated using current prices.

14. EEnvironment

Annual  greenhouse  gas  (GHG)  emissions are  estimated  and
reported according to the revised 1996 Intergovernmental Panel on
Climate  Change  (IPCC)  guidelines.  By  using  the  global  warming
potential  (GWP)  concept,  all  six  GHGs  can  be  summed  up  to  a
single value per year. The indicator shows trends in emissions of the
'Kyoto basket': carbon dioxide (CO2), methane (CH4), nitrous oxide
(N2O),  hydrofluorocarbons  (HFCs),  perfluorocarbons  (PFCs),  and
sulphur  hexafluoride  (SF6).  Figures  are  given  in  CO2  equivalents
based on tonnage.

Data  for  municipal  waste include  waste  originating  from
households, commerce and trade, small businesses, office buildings
and  institutions  collected  by  or  on  behalf  of  municipalities.  It  also
includes:  waste  from  selected  municipal  services,  i.e.  waste  from
park and garden maintenance, waste from street cleaning services
(street sweepings, the content of litter containers, market cleansing
waste) if managed as waste.

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CCllaassssiiffiiccaattiioonnss

COICOP - CClassification oof IIndividual CConsumption bby PPurpose

This  classification  is  used  for  the  breakdown  of  household
consumption.  Although  COICOP  data  is  presented  at  a  fairly
aggregated level, the following list is provided to help define each
of the aggregates.

COICOP DESCRIPTION

01-12

Individual consumption expenditure of households

01

02

03

04

05

06

07

08

09

10

11

12

Food and non-alcoholic beverages

Alcoholic beverages, tobacco

Clothing and footwear

Housing, water, electricity, gas and other fuels (including
actual rentals for housing; maintenance and repair of the
dwelling; water supply and miscellaneous services relating
to the dwelling; electricity, gas and other fuels)

Furnishings,  household  equipment  and 
routine
maintenance  of  the  house  (including  furniture  and
furnishings; carpets and other floor coverings; household
textiles; household appliances; glassware, tableware and
household  utensils;  tools  and  equipment  for  house  and
garden;  goods  and  services  for  routine  household
maintenance)

Health  (including  medical  products,  appliances  and
equipment; out-patient services; hospital services)

Transport (including the purchase of vehicles; operation of
personal transport equipment; transport services)

Communication (including postal services; telephone and
telefax equipment and telephone and telefax services)

Recreation  and  culture 
(including  audio-visual,
photographic  and  information  processing  equipment;
other  major  durables  for  recreation  and  culture;  other
recreational  items  and  equipment,  gardens  and  pets;
recreational and cultural services; newspapers, books and
stationery; package holidays)

Education  (pre-primary  and  primary,  secondary,  post-
secondary non-tertiary, tertiary education, and education
not definable by level)

Restaurants  and  hotels  (including  catering  services;
accommodation services)

Miscellaneous  goods  and  services  (including  personal
care; personal effects n.e.c.; social protection; insurance;
financial services n.e.c.; other services n.e.c.

147

Tacis_Pocketbook_MethNotes.qxp  28/06/2007  12:45  Page 148

ISCED 997 - IInternational SStandard CClassification oof EEducation

This  classification  is  used  for  the  breakdown  of  the  number  of
pupils/students;  it  is  also  used  for  determining  the  coverage  of  a
number of other education indicators.

ISCED

DESCRIPTION

Pre-primary level of education; this level is defined as the
initial stage of organized instruction, designed primarily to
to  a  school-type
introduce  very  young  children 
environment.

Primary  level  of  education;  programmes  are  normally
designed  to  give  students  a  sound  basic  education  in
reading,  writing  and  mathematics  along  with  an
elementary  understanding  of  other  subjects  such  as
history,  geography,  natural  science,  social  science,  art
and music. In some cases religious instruction is featured.

Lower  secondary  level  of  education;  this  is  designed  to
complete the provision of basic education which began at
ISCED level 1. The programmes at this level are usually
on  a  more  subject-oriented  pattern  using  more
specialized  teachers  and  more  often  several  teachers
conducting classes in their field of specialization.

Upper  secondary  education;  this  level  of  education
typically  begins  at  the  end  of  full-time  compulsory
education  for  those  countries  that  have  a  system  of
compulsory  education.  More  specialization  may  be
observed  at  this  level  than  at  ISCED  level  2  and  often
teachers need to be more qualified or specialised than for
ISCED level 2.

education 

non-tertiary 

Post-secondary, 
(these
programmes  straddle  the  boundary  between  upper
secondary  and  post-secondary  education  from  an
international point of view, even though they might clearly
be  considered  as  upper  secondary  or  post-secondary
programmes  in  a  national  context.  These  programmes
are  often  not  significantly  more  advanced 
than
programmes at ISCED level 3 but they serve to broaden
the  knowledge  of  participants  who  have  already
completed a programme at level 3.

First stage of tertiary education (not leading directly to an
advanced  research  qualification);  this  level  consists  of
tertiary  programmes  with  an  educational  content  more
advanced than those offered at levels 3 and 4.

Second  stage  of  tertiary  education  (leading  to  an
advanced research qualification); this level is reserved for
tertiary  programmes  that  lead  to  the  award  of  an
advanced  research  qualification.  The  programmes  are
devoted to advanced study and original research.

0

1

2

3

4

5

6

148

Tacis_Pocketbook_MethNotes.qxp  28/06/2007  12:45  Page 149

NACE RRev. 11.1 - SStatistical cclassification oof eeconomic aactivities
in tthe EEuropean CCommunity

This  classification  was  adopted  in  order  to  establish  a  common
statistical  classification  of  economic  activities  within  the  European
Community in order to ensure comparability between national and
community  classifications  and  hence  national  and  community
statistics.

NACE DESCRIPTION

A and B Agriculture, hunting, forestry and fishing

C to E

Industry (excluding construction)

C

D

E

F

Mining and quarrying

Manufacturing

Electricity, gas and water supply

Construction

G to P

Services (as defined by NACE Sections G to P)

G

H

I

J

K

L

M

N

O

P

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

Hotels and restaurants

Transport, storage and communication

Financial intermediation

Real estate, renting and business activities

Public  administration  and  defence,  compulsory  social
security

Education

Health and social work

Other community, social and personal service activities

Activities of households

149

European Commission

Pocketbook on Candidate and Potential Candidate countries

Luxembourg: Office for Official Publications of the European Communities

2007 — 149 pp. — 21 x 10.5 cm

Theme: General statistic
Collection: Pocketbooks

ISBN 978-92-79-05217-0