1 ContactUp
1.1 Organization The Statistical Office of the Slovak Republic
1.2 Address Lamačská cesta 3/C, 840 05 Bratislava
1.3 Contact name Andrej Ferik
1.4 Organization unit Registers and Classifications Department
1.5 Phone number +421 2 50236 427
1.6 Email address andrej.ferik@statistics.sk
2 Metadata updateUp
2.1 Date of last update 20.04.2022
Statistical presentationUp
3.1  Data description

The annual Business demography data collection covers variables, which explain the characteristics and demography of the business population. The methodology allows for the production of data on enterprise births (and deaths), that is, enterprise creations (cessations) that amount to the creation (dissolution) of a combination of production factors and where no other enterprises are involved (enterprises created or closed solely as a result of e.g. restructuring, merger or break-up are not considered).

In summary, the available indicators are as follows:

  • Population of active enterprises/employer enterprises (with at least one employee)
  • Number of enterprise/employer enterprise births
  • Number of enterprise/employer enterprise survivals up to five years
  • Number of enterprise/employer enterprise deaths
  • Related variables on employment
  • Number of high-growth enterprises (growth by 10/20% or more)
  • Number of gazelles' (up to five years old high-growth enterprises) and medium growth enterprises (growth between 10 and 20%)
  • Derived indicators such as birth rates, death rates, survival rates and employment shares
3.2  Classification system

NACE Rev. 1.1 was used up to reference year 2007. From 2008 onwards NACE Rev.2 classification (Statistical Classification of Economic Activities in the European Community) is used for all indicators.

The Regional breakdown of national business demography data at NUTS2 and NUTS3 level is based on the Nomenclature of Territorial Units for Statistics (NUTS).

3.3  Sector coverage

Starting with the reference year 2008, data cover NACE Rev. 2 (Statistical Classification of Economic Activities in the European Community) sections B to N (excluding activities of holding companies - K64.2). Data for sections P, Q, R and S are provided on a voluntary basis. Number of newly born enterprises and related employment figures are available also for reference years 2004-2007.

NACE Rev. 1.1 was used up to reference year 2007 covering the data for sections C to K (excluding activities of holding companies - K74.15). Sections M, N and O were transmitted on a voluntary basis.

3.4  Statistical concepts and definitions

For delineation of active units employment and turnover criteria recommended in BD manual were used and if a unit makes investments in a given period.

Unit was not considered to be active if the administrative birth’s date was higher than the end of reference year (i.e. >31.12.2018) and also if the administrative death’s date was lower than the beginning of the reference year (i.e. <1.1.2018) – this was applied only if there was no splitting or merging of enterprise.

3.5  Statistical unit

Enterprise.

The enterprise is the smallest combination of legal units that is an organisational unit producing goods or services, which benefits from a certain degree of autonomy in decision-making, especially for the allocation of its current resources. An enterprise carries out one or more activities at one or more locations. An enterprise may be a sole legal unit.

3.6  Statistical population

The target population is the private sector economy, including all active (having either turnover or employment or makes investments at any time during the reference year) enterprises. In the additional datasets on employer business demography, the threshold is set to one employee at any time of the reference period. The following thresholds are used:

  • 1 employee - population of employer enterprises,
  • 10 employees in the beginning of the growth - population of high-growth enterprises (10%),
  • 5 or 10 employees in the beginning of the growth - population of high-growth enterprises (20%), 'gazelles' (20%)   and medium-growth enterprises (10 to 20%).


3.7  Reference area

Not requested.

3.8  Time coverage

Length of time series:

2000 2018

3.9  Base period

Not appliable.

Unit of measureUp

Basic variables (active, birth, death and survival enterprises and their employment) are in absolute figures. Derived indictors are expressed in percentages.

Reference periodUp

Not requested.

Institutional mandateUp
6.1  Legal acts and other agreements

Up to reference year 2006 data have been collected under gentlemen's agreement within the context of the development of Structural Business Statistics.

Regulation (EC) No 295/2008 of the European Parliament and of the Council of 11 March 2008 concerning structural business statistics (recast), Annex IX, provides a legal basis for the data collection.

Commission implementing regulation (EU) No 439/2014 of 29 April 2014 ensures data collection on employer enterprises (with at least one employee), high-growth enterprises (more than 10% annual growth over three years) and their employment.


6.2  Data sharing

Not applicable.

Confidentiality Up
7.1  Confidentiality - policy

Statistical confidentiality is defined by Regulation (EC) No 223/2009 of the European Parliament and of the Council, in directive SME 01/2015 and in the methodological instruction MET-4/2019.

7.2  Confidentiality - data treatment

Confidentiality rate at different NACE levels, 2018, %

2018SKSKSKSKSK
DatasetTOTALSectionDivisionGroupClass
SBSCP_9A8,339,969,039,4811,61
SBSCP_9B15,1814,026,3513,7616,31
SBSCP_9C11,3613,4111,1115,4214,54
SBSCP_9D17,7114,597,7814,6715,6
SBSCP_9E11,7410,848,3310,4211,7
SBSCP_9F16,3415,236,7514,5818,06
SBSCP_9G13,6413,0311,1111,6715,6
SBSCP_9H13,6414,298,3313,3317,73
SBSCP_9MNA11,3407,7513,16
SBSCP_9PNA11,1809,1512,5

Release policyUp
8.1  Release calendar

end of October (t+22 months)

8.2  Release calendar access

no.

8.3  User access

We provide any information which is not available in the published publications and/or in the published on-line databases to everyone with a specific request.

Frequency of disseminationUp

Every year at the end of October

10  Accessibility and clarityUp
10.1  News release

No.

10.2  Publications

No.

10.3  On-line database

Yes.

10.4  Micro-data access

No.

10.5  Other

-

10.6  Documentation on methodology

Statistical metadata are available on the Website (electronic version)

10.7  Quality documentation

Not requested.

11  Quality managementUp
11.1  Quality assurance

Not requested.

11.2  Quality assessment

Not requested.

12  Relevance Up
12.1  User needs

We do not have regular consultations with some of our main users.

12.2  User satisfaction

The dissemination/publishing unit keeps track of the number of downloaded on-line databases for last year = 962.

12.3  Completeness

2018 Availability rate per country and series, % (Number of provided/Number of requested), NACE Rev 2 B to N

2018SK
SBSCP_9A100
SBSCP_9B100
SBSCP_9C100
SBSCP_9D100
SBSCP_9E100
SBSCP_9F100
SBSCP_9G100
SBSCP_9H100
SBSCP_9M100
SBSCP_9P100
13  Accuracy and reliabilityUp
13.1  Overall accuracy

Not requested.

13.2  Sampling error

Not applicable.

13.3  Non-sampling error

Estimated proportion of enterprises wrongly designated active and non-active is about 0.04%

Estimated proportion of false matches and false non-matches and comment on the overall quality of our matching procedures is about 0.15%

14  Timeliness and punctualityUp
14.1  Timeliness

Data sources are not subject to any time lags, which might affect the data quality.

14.2  Punctuality

Number of calendar days behind (positive value) or ahead of (negative value) the legal deadlines

Country/Series9A19B19C19D19E19F19G19H19M9P_2019
SK-1-1-1-1-14-14-14-14-1-10

* BD deadlines:
t+12 - preliminary high-growth enterprises (series 9P),
t+18 - active, birth and survival enterprises; preliminary death enterprises; final high-growth enterprises (series:9A, 9B, 9C, 9D, 9M),
t+20 - active, birth and survival employer enterprises; preliminary death employer enterprises (series:9E, 9F, 9G, 9H),
t+30 - final death enterprises (series:9A, 9B),
t+32 - final death employer enterprises (series:9E, 9F).

15  Coherence and comparabilityUp
15.1  Comparability - geographical

Not requested.

15.2  Comparability - over time

Length of comparable time series: 2008 2018

15.3  Coherence - cross domain
The number of BD active enterprises was specified according the BD methodology using business register, annual tax data and monthly provided social insurance data.

The number of SBS active enterprises was fully evaluated for small enterprises owned by natural persons using business register and tax data.

Regarding the number of persons employed; for the purpose of BD statistics estimation based on labour costs was used. Number of persons employed was estimated in the case of small enterprises for which no statistical information was available.

SBS figures on number of persons employed in small enterprises owned by natural persons were estimated on the basis of labour costs and average earnings since the information on labour costs was available from tax administrative files.


15.4  Coherence - internal

Not requested.

16  Cost and burdenUp

Not requested.

17  Data revisionUp
17.1  Data revision - policy

Preliminary deads, which are compiled on the basic of data from T+1 reference year, are revised when data from T+2 reference year are available.

17.2  Data revision - practice
Estimated versus final data. RMAR – Relative Mean Absolute Revisions (∑(final-preliminary)/ ∑final) of 2017 death data and 2018 for HGE




9B-9D 2017



9F-9H 2017



9M-9P 2018

Number of enterprisesNumber of persons employedNumber of employees



Number of enterprisesNumber of persons employedNumber of employees



Number of enterprisesNumber of employees
SK0,150,190,31


SK0,040,200,22


SK0,060,08

Regarding the enterprise deaths 2017, presented figures represent differences between estimated and preliminary data. The differences were caused by missing of administrative sources in the time of preparation of estimated data. This lack of administrative sources resulted in smaller (preliminary) population of active enterprises for reference year t+1 and estimated data were calculated on the basis of comparison of population of active enterprises in year t and preliminary population of active enterprises in t+1.

18  Statistical processingUp
18.1  Source data

The Single Public Register administered according the law, the register of tax payers, the social security register are sources for updating the Statistical Business Register (SBR).

In this register all required NACE classes and legal forms are covered.

Any criteria or thresholds are not applied.

No matching, profiling or imputation is carried out within the register.

SBR includes birth and death dates of all enterprises. These dates are officially assigned and recognized by ministries and state institutions according to the relevant legal acts and by the creation of relationships between legal units belonging to the  Enterprise. However, some small enterprises owned by natural persons sometimes operate their enterprise without any valid licence. These cases can be specified using administrative data.

In the SBR every enterprise is identified by unique ID number and also Legal units forming the enterprise are defined by unique ID number that is also a basic tool for data matching with units recorded in administrative sources. Legal unit ID number is obligatory used in all administrative registers (tax, social security,...). Apart from enterprise ID number every record in the business register includes also ID number of ancestor and successor in case of takeover, merging or splitting and PIN of enterprise owner.

Within the data matching process enterprise ID and owner PIN were fully used.

1. Through PIN numbers of active population checking and elimination of multiple enterprise registrations were performed.

2. New births were checked and eliminated by linking ID numbers of ancestors of newly created enterprises with ID numbers of active enterprises.

3. Death population was checked and eliminated through ID numbers of successors of closed enterprises with ID numbers of active enterprises.

Every enterprise with 20 and more employees included in new births or death population was then checked manually. Recommended pair-wise matching (name and location) was used in the case of incorrect enterprise ID obtained from administrative source.

In the case of incorrect enterprise ID obtained from administrative source also tax number for data matching was used.
Units moving in the scope were included into the population of active enterprises but no into the population of new births and units moving of the scope were excluded from the population of active enterprises but they were not considered like death enterprises. We detected 214 enterprises that moved in the scope and 231 enterprises that moved out of scope.

From 2015 population of deaths 2800 units were reactivated and again included into the active population 2018 – births in 2018.

18.2  Frequency of data collection

Annual.

18.3  Data collection

Business demography variables are compiled from the national statistical business register.

18.4  Data validation

Before sending to Eurostat, the following checks are performed: hierarchical, inter-variable plausibility, confidential and completeness

18.5  Data compilation

Not requested.

18.6  Adjustment

Not applicable.

19  CommentUp