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Litostrojska cesta 54, SI-1000 Ljubljana, Slovenia Phone: +386 1 241 64 00; fax: +386 1 241 53 44; e-mail: [email protected]; website: www.stat.si
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REPUBLIC OF SLOVENIA
ANNUAL QUALITY REPORT
FOR THE SURVEY
STRUCTURAL BUSINESS STATISTICS (SSP/L)
FOR
2011
Prepared by: Nataša Pušlar Car
Date: March 2014
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Table of Contents
0 Methodological Explanations ............................................................................................. 3 1 Relevance ........................................................................................................................... 6
1.1 Rate of Unavailable Statistics ...................................................................................... 6
2 Accuracy ............................................................................................................................. 7 2.1 Sampling Errors ........................................................................................................... 7
2.1.1 Sampling Error ................................................................................................... 7 2.2 Coverage Bias .............................................................................................................. 7
2.2.1 Coverage Bias .................................................................................................... 7
2.3 Non-Sampling Errors ................................................................................................... 7 2.3.1 Non-Response Errors ......................................................................................... 7 2.3.1.1 Unit Non-Response Rate .................................................................................... 7 2.3.1.2 Item Non-Response Rate .................................................................................... 7 2.3.1.3 Imputation Rate .................................................................................................. 7
2.3.2 Coverage Errors .................................................................................................. 8 2.3.2.1 Overcoverage Rate ............................................................................................. 8 2.3.3 Measurement Errors ........................................................................................... 8
2.3.3.1 Editing Rate ........................................................................................................ 8 2.3.4 Rate of the Coherence of Data Sources .............................................................. 8
3 Timeliness and Punctuality ................................................................................................ 8 3.1 Timeliness .................................................................................................................... 8
3.1.1 Timeliness of the First Results ........................................................................... 8 3.1.2 Timeliness of Final Results ................................................................................ 8
3.2 Punctuality ................................................................................................................... 9 3.2.1 Punctuality of the First Results .......................................................................... 9
4 Accessibility and Clarity .................................................................................................... 9
4.1 Accessibility ................................................................................................................ 9
4.1.1 Means Used for the Dissemination .................................................................... 9 4.2 Clarity ........................................................................................................................ 10
4.2.1 Results Presented .............................................................................................. 10
4.2.2 Level (Detail) of Presentation .......................................................................... 10 5 Comparability ................................................................................................................... 10
5.1 Comparability over Time ........................................................................................... 10 5.1.1 Length of Comparable Time Series ................................................................. 10
5.1.2 Breaks in Time Series ...................................................................................... 10 5.2 Geographical Comparability ...................................................................................... 11
5.2.1 Comparability with Other Members of the European Statistical System ........ 11 5.3 Seasonal Adjustment ................................................................................................. 11
6 Coherence ......................................................................................................................... 11
6.1 Coherence between Provisional and Final Data ........................................................ 11
6.1.1 Coherence between Provisional and Final Data ............................................... 11
6.2 Coherence with the Results of the Reference Survey ................................................ 12 6.2.1 Reference Survey ............................................................................................. 12 6.2.2 Coherence with Reference Data ....................................................................... 13
7 Costs and Burdens ............................................................................................................ 14 7.1 Survey Costs of the Office ......................................................................................... 14
7.2 Burden of Reporting Units ........................................................................................ 15
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0 Methodological Explanations
Brief Description of the Survey The purpose of structural business statistics is to monitor operation of enterprises and to
assure internationally comparable data by taking into consideration the European standards on
structural business statistics (SBS) and the European System of National Accounts (ESA), to
monitor the results of business entities, local units and local kind of activity units, to monitor
and estimate changes in individual activities at regional and national levels and in comparison
with other countries and markets, to monitor production factors and business conditions, and
to monitor specific features of individual economic activities.
The calculated indicators for SBS enable the analysis of events and structural changes in the
business population and provide basic information for preparing market analyses and making
business decisions in the enterprises. Structural business statistics measures the results of
enterprises, investments, employment and labour costs.
Legal Basis for the Survey The National Statistics Act and the Annual Programme of Statistical Surveys, i.e. Zakon o
državni statistiki (Uradni list RS, št. 45/95 in 9/01), Letni program statističnih raziskovanj for
2011 (Uradni list RS, št. 93/2010), constitute the legal basis for conducting the statistical
survey SBS. In the mentioned Annual Programme, structural business statistics is identified
with its number, name and survey designation, i.e. task No.: 3.01.01.08, Zbirna letna statistika
o poslovanju podjetij, i.e. Yearly statistics on performance of enterprises (SSP/L).
The statistical survey is also governed by the following European regulations:
Regulation (EC) No 295/2008 of the European Parliament and of the Council concerning
structural business statistics (recast). It establishes a common framework for the collection,
compilation, transmission and evaluation of Community statistics on the structure, activity,
competitiveness and performance of businesses and the Community.
Commission Regulation (EC) No 250/2009 implementing Regulation (EC) No 295/2008 of
the European Parliament and of the Council as regards the definitions of characteristics, the
technical format for the transmission of data, the double reporting requirements for NACE
Rev. 1.1 and NACE Rev. 2 and derogations to be granted for structural business statistics. It
defines also the characteristics which are collected in the line with Regulation (EC) No
295/2008.
COMMISSION REGULATION (EC) No 251/2009 implementing and amending Regulation
(EC) No 295/2008 of the European Parliament and of the Council as regards the series of data
to be produced for structural business statistics and the adaptations necessary after the
revision of the statistical classification of products by activity (CPA).
Observation Units Observation units are enterprises and their parts which are registered for performing
predominantly market activity on the territory of the Republic of Slovenia and which were
active at least a part of the observation period. Operation of enterprises which are by the
Standard Classification of Institutional Sectors (SKIS) in the Government sector (SKIS 13)
and in the Non-profit institutions serving households sector (SKIS 15) is not included in the
observation. In the survey we observe the statistical activity which is for statistical purposes in
the Statistical Business Register defined to an enterprise as its main activity and can in some
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cases differ from the registered activity defined in the Business Register of Slovenia (PRS),
kept by the Agency for Public Legal Records and Related Services (AJPES). The statistical
activity is determined for the major units whose main activity based on existing statistical data
differs from the registered main activity.
Structural business statistics observe enterprise performance which is in detail defined in four
annexes to the basic regulation and cover industry (sections B–E), construction (section F),
trade (section G) and services (sections H, I, J, L, M and N, and division S95).
Financial services are defined in three special annexes to the regulation and are not covered in
this report.
In this document we also do not give explanations on the data on environmental protection
expenditure which is defined in Annex 2 to the basic regulation. In the annex industry three
special data series on environmental protection expenditure are defined which have to be
reported to Eurostat. Data are gathered by a special survey in the Environmental Statistics
Sector. The last standard quality report for the mentioned data is published on our website at:
http://www.stat.si/doc/metodologija/kakovost/20%20_LPK_OKI_2011_en.pdf.
Structural business statistics observe the main activity of enterprises from the following areas
of the Standard Classification of Activities 2008: Mining and quarrying (B), Manufacturing
(C), Electricity, gas, steam and air conditioning supply (D), Water supply, sewerage, waste
management and remediation activities (E), Construction (F), Wholesale and retail trade,
repair of motor vehicles and motorcycles (G), Transportation and storage (H),
Accommodation and food service activities (I), Information and communication (J), Real
estate activities (L), Professional, scientific and technical activities (M), Administrative and
support service activities (N) and Repair of computers and personal and household goods
(S95).
Coverage Structural business statistics cover market business entities which perform activities from B –
Mining and quarrying, to N – Administrative and support service activities (without K –
Financial and insurance activities) and S95 – Repair of computers and personal and household
goods of the Standard Classification of Activities 2008 and were active at least for part of the
observation period. Enterprises are active if they had turnover or labour costs during the
observation period.
Data by the Standard classification of activity 2008 are published on the websites of the
Statistical Office of the Republic of Slovenia (SURS) on the SI-STAT Data Portal, also for
the 2005-2007 period. Data for the 2005-2007 period are recalculated according to the new
classification of activities and therefore of lower quality. Backcasting was implemented at
micro level, which means assigning a new activity code (in terms of the new classification) to
each unit and for every period and recalculating the data in order to have the series expressed
in terms of the new classification. After that we again calculated all the statistics and
aggregates.
Data for the observed activities for the 1995–2007 period by the NACE Rev. 1.1 are
published in the Archive of data by NACE Rev. 1.1 on the SI-STAT Data Portal.
The framework for the activities surveyed was the statistical business register, excluding non-
market enterprises (SKIS 13 and 15). In 2011, there were 117,481 active enterprises.
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We publish data broken down to NACE Rev. 2, to the 4-digit level, i.e. the level of class, data
by size classes broken down to the level of group, and regional statistic broken down to the
level of division.
Key Variables • Turnover.
• Capitalised own products and services.
• Inventories of materials, raw materials, products and merchandise.
• Cost of goods, materials and services.
• Other operating expenses.
• Subsidies, grants, allowances.
• Investment in new tangible fixed assets and investment in existing tangible fixed
assets.
• Purchase of land.
• Persons employed.
Key Statistics • Turnover.
• Value added at factor cost.
• Total purchases of goods and services.
• Gross investment in tangible goods.
• Persons employed.
Questionnaire There is no questionnaire for structural business statistics. Data are obtained primarily from
administrative sources and cover all sectors and for this reason the survey with additional data
collection in the field with a questionnaire is not necessary.
Methodological Explanations Methodological explanations for structural business statistics are available on the SURS
website: http://www.stat.si/doc/metod_pojasnila/14-157-ME.pdf.
Methodological explanations for environmental protection expenditure which are also defined
in the regulation concerning structural business statistics are available on the SURS website:
http://www.stat.si/doc/metod_pojasnila/27-118-ME.htm.
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1 Relevance
1.1 Rate of Unavailable Statistics
Data are reported to Eurostat by different series. Since certain variables are presented in some
series and in others they are not, the share of missing statistics (U1) can be reasonably
estimated with regard to an individual series which is as percentage shown in the table below.
All the variables are reported for provisional data, so the rate of unavailable statistics U1 = 0.
Final data are more detailed and contain a larger number of statistics, so the rate of
unavailable statistics can differ from individual series or the annex. The rate of unavailable
statistics in the case of Annex I (general part) is U1 = 0.05. In the case of Annex II (industry)
the rate of unavailable statistics U1 = 0.12. In the case of Annex III (trade) the rate of
unavailable statistics is U1 = 0.03. In the case of Annex IV (construction) the rate of
unavailable statistics is U1 = 0.03.
The availability rate (in percentage) by series sent to Eurostat is from the quality report,
prepared by Eurostat. The report is based on the data prepared according to the first
disseminated versions. Calculation:
100applicable fields ofnumber
provided cells ofnumber
Table 1.1: The availability rate by series
%
Total 92
1A – Annual enterprise statistics for services 93
1B – Annual enterprise statistics by size class for services 100
1C – Annual regional statistics for services 100
1E – Annual enterprise statistics for special aggregates of activities 93
2A – Annual enterprise statistics for industry 87
2B – Annual enterprise statistics by size class for industry 92
2C – Annual regional statistics for industry 100
2D – Annual KAU statistics for industry 83
2F – Multiannual enterprise statistics – Sub-contracting statistics for industry 100
3A – Annual enterprise statistics for distributive trades 95
3B – Annual enterprise statistics by size class of employment for distributive trades 100
3C – Annual regional statistics for distributive trades 100
3D– Annual enterprise statistics by size class of turnover for distributive trades 100
4A – Annual enterprise statistics for construction 95
4B – Annual enterprise statistics by size class for construction 100
4C – Annual regional statistics for construction 100
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2 Accuracy
2.1 Sampling Errors
2.1.1 Sampling Error
Since in principle there is complete coverage, the sampling error is not calculated.
2.2 Coverage Bias
2.2.1 Coverage Bias
The calculation of coverage bias is not necessary since there is full coverage for structural
business statistics.
2.3 Non-Sampling Errors
2.3.1 Non-Response Errors
2.3.1.1 Unit Non-Response Rate
Since statistics are calculated on the basis of full coverage from the administrative or existing
sources, the non-response rate is assumed to be 0. That is to say, for each unit of the observed
population, we have data on at least one variable (from administrative sources).
2.3.1.2 Item Non-Response Rate
In certain cases the applied administrative sources are not sufficiently broken down, or do not
contain all the necessary variables. For example, the missing variable is Purchase value of
goods and materials sold in the Prepayment of income taxes for the income realised upon the
pursuit of activities. For the calculation of this variable we look at the lowest level of the
Standard Classification of Activity (SKD) (5th level of SKD or appropriate higher level) and
consider the share of this variable (Purchase value of goods and materials sold) in Cost of
goods, materials and services (this variable exists in the declaration) from annual accounts for
self- employed persons.
The share of variable Purchase value of goods and materials sold obtained from the source
Prepayment of income taxes for the income realised upon the pursuit of activities can be
calculated.
The item non-response occurs also for those variables, the data for which are obtained from
existing sources or surveys. For example, for the set of variables obtained from the investment
survey, the item non-response rate is the same as the unit non-response rate for this survey.
2.3.1.3 Imputation Rate
For the time being, there is no estimate on the missing values. A certain estimate is being
made for individual sources which are insufficiently broken down. For example, the micro
variable Net sales revenue is missing in the turnover tax declaration. To calculate this variable
at the lowest level of SKD (5-digit SKD or an appropriate higher level) the share of such a
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variable should be considered in the whole turnover in the final accounts for individual
entrepreneurs. When calculating the variable Net sales revenue, the right shares are multiplied
by all turnover from the turnover tax declaration.
2.3.2 Coverage Errors
2.3.2.1 Overcoverage Rate
Not relevant.
2.3.3 Measurement Errors
2.3.3.1 Editing Rate
For now the editing rate is not calculated.
2.3.4 Rate of the Coherence of Data Sources
For structural business statistics there are different sources for the same variable. We consider
the priority of sources and we have only one source for each variable. We can get turnover
from the annual accounts and also from the tax source. Turnover in Prepayment of income
taxes for the income realised upon the pursuit of activities is not broken down to such detail
because turnover contains all kinds of turnover and not net income that we need according to
structural business statistics.
3 Timeliness and Punctuality
3.1 Timeliness
3.1.1 Timeliness of the First Results
Table 3.1.: Timeliness of the First Results
Reference period 2011
Date of publishing 22.11.2012
Time lag T+11
According to the Regulation, the results of the First Release should be prepared within 10
months following the end of the reference period (T+10). At the same time, data should also
be communicated to Eurostat. The results are published in less than a month later (T+11).
3.1.2 Timeliness of Final Results
Table 3.1: Timeliness of the Final Results
Reference period 2011
Date of publishing 25. 7. 2013
Time lag T+19
According to the Regulation, the final data should be prepared within 18 months following the
end of the reference period (T+19). At this time, data should also be communicated to
Eurostat. Data are published about 1 month later (T+19).
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3.2 Punctuality
3.2.1 Punctuality of the First Results
Table 3.2: Punctuality of the First Results
Reference period 2011
Announced date 22.11.2012
Publishing date 22.11.2012
Difference 0
The announced and actual dates of publication for 2011 were the same.
4 Accessibility and Clarity
4.1 Accessibility
4.1.1 Means Used for the Dissemination
Table 4.1: Means Used for Dissemination
No.: Mean Used
1
Website
(e.g. First Release, E-release) YES
2 Publication in the SI-STAT Data Portal YES
3
Publication in the interactive web tools
(e.g. Interactive Statistical Atlas of Slovenia, Thematic
Cartography) NO
4 Ad hoc prepared data for users according to their specification YES
5 Data available through telephone answering machine NO
6
General printed publications
(e.g. Statistical Yearbook, Slovenia in Figures) YES
7
Thematic printed publications
(e.g. Rapid Reports, Brochures) NO
8
External databases
(e.g. Social Science Data Archives, Eurostat, OECD databases) YES
9 Statistically protected micro data YES
10 Preliminary access to data according to standard protocol NO
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4.2 Clarity
4.2.1 Results Presented
Data are displayed in absolute values (number, EUR thousand or million). In the Statistical
Yearbook charts are also presented. Data are yearly, so there are no seasonally adjusted
values.
4.2.2 Level (Detail) of Presentation
Data are presented broken down by the activities, by the activities and size classes (of
employees and of turnover), and by activities and cohesion regions. Data, presented broken
down only by the activity criteria, are broken down to the level of classes; in cases when the
additional criteria are used, that is size classes and regions, data are broken down to the levels
of groups and divisions, respectively.
5 Comparability
5.1 Comparability over Time
5.1.1 Length of Comparable Time Series
The time series exists as of the reference year 1995. Because of the changes in the
classification of activity and changes in the regulation concerning structural business statistics
comparable series of data are available for 2005-2011 period. The value of the indicator of the
length of comparability of time series was therefore 5.
5.1.2 Breaks in Time Series
The break in time series is for investment, where from 2005 on the INV-2 survey is also
considered as a source of final data.
On 1 January 2008 the new classification of activities of business entities NACE Rev. 2,
which replaced NACE Rev 1.1, came into force in all EU Member States. In the Republic of
Slovenia the national version of the standard classification, called SKD 2008, which includes
the entire European classification of activities, but also adds some national subclasses, came
into force on the mentioned date.
The new classification brings many changes, which are the result of structural changes in the
economy in the recent years. Most of the changes thus involve market services and
manufacturing. A very important change was the new structure of the classification, since
there is no longer the level of subsection (2-digit code).
In 2008 structural business statistics data were disseminated according to NACE Rev. 2 for
the first time, so a break in the time series occurred. Because of the change of the Standard
Classification of activity, the data for the 2005-2007 period had to be recalculated according
to the new classification of activities (backcasting). Data are now comparable from 2005
onward and there is a break in the time series in 2005.
Backcasting was implemented at macro level, which means that the results in the new time
series were recalculated directly from the old results by using correspondence and conversion
tables. A correspondence table links activities at the 5-digit level of the old and new
classifications, while a conversion table shows shares of conversion of individual activities by
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turnover. Conversion tables are used in the case one class from the old classification is split
into several classes in the new classification, and vice versa. Conversion tables were prepared
for individual years from 2000 to 2008, depending on the annual situation in the Statistical
Business Register.
5.2 Geographical Comparability
5.2.1 Comparability with Other Members of the European Statistical System
Structural Business Statistics Survey is based on Regulation (EC) No 295/2008 of the
European Parliament and of the Council concerning structural business statistics (recast). Data
for structural business statistics are prepared according to the European regulations which
have to be considered by all European countries which report data to the European statistical
office - Eurostat and are comparable to the data of other EU Member States.
Detailed information on methodology for structural business statistics and methodology of
individual EU Member States are available on the website:
http://epp.eurostat.ec.europa.eu/portal/page/portal/european_business/methodology_classifica
tions.
5.3 Seasonal Adjustment
This is an annual survey, thus no methods of seasonal adjustment are applied in this survey.
6 Coherence
6.1 Coherence between Provisional and Final Data
6.1.1 Coherence between Provisional and Final Data
Provisional and final data did not differ much. Provisional and final data are measured for the
key variables “Number of enterprises”, “Turnover” and “Number of employees” and the
levels of sections B-N without K and division S95. Since the coverage is a little bigger for the
final data, there are some differences. For the main variables those differences are presented
in the table below.
Table 6.1: Differences between provisional and final data for the main variables, 2011
Activity
Nace Rev. 2
PROVISIONAL FINAL
Final–provisional data
comparison
enterprises employees turnover enterprises employees turnover enterprises employees turnover
number EUR 1,000 number EUR 1,000 %
SBS,
Total 116,402 525,764 80,934,791 117,481 513,715 80,045,507 0.9 -2.3 -1.1
B 108 2,395 276,071 109 2,395 267,682 0.9 0.0 -3.0
C 16,805 184,550 24,617,475 17,012 183,629 24,424,297 1.2 -0.5 -0.8
D 797 8,520 5,286,873 882 7,831 5,293,389 10.7 -8.1 0.1
E 380 9,546 1,146,377 383 9,547 1,146,389 0.8 0.0 0.0
F 18,826 56,094 5,469,744 18,940 56,325 5,191,052 0.6 0.4 -5.1
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G 24,585 111,001 28,807,999 24,786 102,650 28,714,175 0.8 -7.5 -0.3
H 8,457 41,809 4,943,432 8,510 38,641 4,646,319 0.6 -7.6 -6.0
I 8,316 27,806 1,532,815 8,419 27,683 1,525,655 1.2 -0.4 -0.5
J 6,299 18,364 2,953,.432 6,337 18,864 2,930,932 0.6 2.7 -0.8
L 2,160 3,806 594,141 2,189 3,820 601,038 1.3 0.4 1.2
M 23,714 35,885 3,982,336 23,794 36,358 3,990,742 0.3 1.3 0.2
N 4,851 25,170 1,230,076 5,012 25,162 1,220,788 3.3 0.0 -0.8
S95 1,104 818 94,020 1,108 810 93,049 0.4 -1.0 -1.0
6.2 Coherence with the Results of the Reference Survey
6.2.1 Reference Survey
Business Demography (SPR-DEM/L)
The Business Demography Survey is defined by Annex IX in the Regulation (EC) No
295/2008 of the European Parliament and of the Council concerning structural business
statistics (recast) which establishes a common framework for the collection, compilation,
transmission and evaluation of Community statistics on the structure, activity,
competitiveness and performance of businesses and the Community. Data on enterprise births,
enterprise survivals and enterprise deaths are collected with the statistical survey Business
Demography. The main source of data for the statistical survey Business Demography is data
on active enterprises in Slovenia in each reference period from the Statistical Business
Register (SPR). The main source for data on employment is the Statistical Register of
Employment (SRDAP) kept by SURS.
Comparable variables for 2011: number of enterprises, number of persons employed
Statistical Survey on Gross Investments (INV-1 and INV-2)
With the statistical survey on gross investments data are collected on actual gross investments
and payments for them, without purchase of land and related transaction costs from direct
investors, i.e. companies, enterprises and organisations (business entities). The estimate of
gross capital formation (gross investments, changes in stocks and valuables) is one of the
items for the calculation of the gross domestic product according to the expenditure approach.
The data are also used for monitoring of investments in structural business statistics. Data are
collected with the INV-1 and INV-2 questionnaires (Gross Investments), which have to be
filled in by business entities with data for the previous year in line with the National Statistics
Act (OJ RS, No. 45/95 and 9/01).
Comparable variables for 2011: 15110 (Gross investment in tangible goods) in Structural
Business Statistics and (new and existing): construction work and premises, machinery and
equipment, transport equipment, biological assets.
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6.2.2 Coherence with Reference Data
Business Demography (SPR-DEM/L)
Data between Business Demography (SPR-DEM/L) and Structural Business Statistics
(SSP/L) deviate to a certain extent. The main source for Business Demography is the
Statistical Business Register (SBR). Differences between structural business statistics (SBS)
and business demography (BD) arise due to a different definition of activity, different
methods of imputation and the additional source for data on the main activities from the
Business Services Survey in SBS. The different rules for rounding is used for data on persons
employed and employees (values larger than 0 and smaller than 0.5 in Business Demography
are rounded to 1, in Structural Business Statistics to 0).
Table 6.2: Coherence between surveys Business Demography (BD) and Structural Business Statistics (SBS),
2011
Activity
Nace Rev. 2
Enterprises Persons employed
SSP, No. BD, No. % SSP, No. BD, No. %
Total 117,481 124,461 -5.6 585,208 590,316 -0.9
B 109 112 -2.7 2,436 2,441 -0.2
C 17,012 17,419 -2.3 193,666 194,618 -0.5
D 882 812 8.6 8,435 8,267 2.0
E 383 443 -13.5 9,664 9,716 -0.5
F 18,940 21,618 -12.4 68,966 72,073 -4.3
G 24,786 25,817 -4.0 115,799 115,430 0.3
H 8,510 8,924 -4.6 44,551 45,186 -1.4
I 8,419 8,891 -5.3 33,261 33,802 -1.6
J 6,337 6,620 -4.3 22,611 23,045 -1.9
L 2,189 2,261 -3.2 4,848 4,589 5.6
M 23,794 25,184 -5.5 50,696 51,612 -1.8
N 5,012 5,213 -3.9 28,549 27,799 2.7
S95 1,108 1,147 -3.4 1,726 1,738 -0.7
Statistical Survey on Gross Investments (INV-1 and INV-2)
The reason for the differences between Structural Business Statistics and the Statistical survey
on gross investments is different methodologies. In the Statistical Survey on Gross
Investments only new and existing tangible fixed assets are shown, without purchase of land
and related transaction costs (construction work and premises, machinery and equipment,
transport equipment, biological assets). In the survey, a sample is taken into account with
certainty of at least 20 employees or at least EUR 1 million of purchase value of fixed assets.
For non-response, grossing through the ratio estimator was performed. In the Statistical
Survey on Gross Investments all business entities are covered, also non-market ones, which
according to the Standard Classification of Institutional Sectors (SKIS) are defined in the
General government sector (SKIS 13) and Non-profit institutions serving households (SKIS
15) and that is why a bigger difference is noticeable in data.
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Gross investment in tangible fixed assets includes – in addition to variables covered by the
Statistical Survey on Gross Investments – also purchase of land and related transaction costs.
In the SBS the missing data are imputed from the value added tax (VAT) database.
Table 6.3: Coherence between Statistical Survey on gross investment (INV) and Structural Business Statistics
(SBS), 2011 Activity
Nace Rev.2
Gross investment in tangible goods
mio. EUR Difference
%
INV (without land) SBS INV-SBS
Total 4,062 3,904 4.0
A 25 - -
B 31 33 -6.1
C 1,050 1,295 -18.9
D 364 476 -23.5
E 45 59 -23.7
F 60 174 -65.5
G 323 547 -41.0
H 490 541 -9.4
I 74 144 -48.6
J 151 164 -7.9
K 251 - -
L 12 196 -93.9
M 106 212 -50.0
N 14 61 -77.0
O 683 - -
P 169 - -
Q 156 - -
R 56 - -
S 5 - -
S95 - 1 -
7 Costs and Burdens
7.1 Survey Costs of the Office
Table 7.1: Survey costs at the Statistical Office
Reference period 2011
Number of working hours spent 2,442
Number of reporting units that had to fill in questionnaires -
Survey period annual
Number of questionnaires per year (total) -
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7.2 Burden of Reporting Units
In the survey existing administrative and statistical sources are used, so there is no burden on
the reporting units.