Economic accounts for agriculture (aact)

National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS)

Compiling agency: National Statistical Institute

Time Dimension: 2017-50

Data Provider: BG1

Data Flow: COSAEA_NEQ_5

Eurostat metadata
Reference metadata
1. Contact
2. Statistical presentation
3. Statistical processing
4. Quality management
5. Relevance
6. Accuracy and reliability
7. Timeliness and punctuality
8. Coherence and comparability
9. Accessibility and clarity
10. Cost and Burden
11. Confidentiality
12. Comment
Related Metadata
Annexes (including footnotes)

For any question on data and metadata, please contact: EUROPEAN STATISTICAL DATA SUPPORT


1. Contact Top
1.1. Contact organisation

National Statistical Institute

1.2. Contact organisation unit

Accounts and Prices in Agriculture and Forestry

1.5. Contact mail address

2, Panayot Volov Street, Sofia, Bulgaria

2. Statistical presentation Top
2.1. Data description

Main characteristics

2.1.1 Describe shortly the main characteristics of the statistics  

The Economic Accounts for Agriculture (EAA) provide detailed information on income in the agricultural sector. The purpose is to analyse the production process of the agricultural industry and the primary income generated by this production. The accounts are therefore based on the industry concept. The EAA accounts are detailed data on value of output (producer prices and basic prices), intermediate consumption, subsidies and taxes, consumption of fixed capital, rent and interests, capital formation etc. The values are in current as well as in constant prices. Agricultural Labour Input (ALI) and Unit Values (UV) are an integrated part of the overall concept of Economic Accounts for Agriculture.

Reference period

2.1.2 Reference period of the data collection 


2.1.3 Is the reference period based on the calendar year starting January 1st and ending December 31st? Yes
2.1.4 If No, please specify

National legislation

2.1.5 Is there a national legislation covering these statistics?  No
If Yes, please answer all the following questions.  
2.1.6 Name of the national legislation 
2.1.7 Link to the national legislation 
2.1.8 Responsible organisation for the national legislation 
2.1.9 Year of entry into force of the national legislation 
2.1.10 Please indicate which variables required under EU regulation are not covered by national legislation, if any.
2.1.11 Please indicate which national definitions differ from those in the EU regulation, if any. 
2.1.12 Is there a legal obligation for respondents to reply? 

Additional comments on data description

The compilation of the EAA is included in the Annual Statsistical Programme.

2.2. Classification system

The EAA is an integral part of the European system of accounts and therefore for their compilation the Eurostat's general classification of economic activities, NACE Rev. 2, is used.

National Nomenclature of agriculture, forestry and fishing products (PRODAGRO) is also used for defining the crop and animal products and livestock categories for which balance sheets are compiled.

PRODAGRO is fully compatible with NACE Rev. 2, and National Nomenclature of products by economic activities.NACE Rev. 2,

2.3. Coverage - sector

EAA cover the Agricultural sector.

The data compilation includs the following economic activities:

01.1 Growing of annual crops

01.2 Growing of perennial crops

01.3 Activity of nurseries (excluding forest nurseries)

01.4 Livestock

01.5 Combined agricultural holding

01.6 Support activities for agriculture

01.7 Hunting, trapping and related service activities

2.4. Statistical concepts and definitions

Economic accounts for agriculture are satellite accounts of the National Accounts, which provide complementary information and use concepts specially adapted to the specific nature of the sector. The architecture of the accounts consists of three accounts for current operations - "Production Account", "Generation of income Account", "Entrepreneurial income Account" and one account for accumulation - "Capital Account" as their consistency and completeness is provided in accordance with ESA '95. The data on satellite economic accounts are developed under the basic methodology of Eurostat, published in the "Manual on the economic Accounts for Agriculture and Forestry EAA / EAF". Their main purpose is to provide baseline information for the development of the Gross Domestic Product, and in particular the contribution of the sector "Agriculture" in the national economy. Secondly, they are intended to measure the level of income of the agricultural holdings and to reflect trends in it over the years.

The "Output of Agricultural Industry" represents the sum of the value of output produced by all agricultural activities (crop, livestock and agricultural services). This item includes also the value of goods and services produced in inseparable non-agricultural secondary activities (mainly processing of farm products inbu agricultural households). These activities are closely related to agricultural production for which information on output, intermediate consumption, compensation of employees, labor input or gross fixed capital formation can not be separated from the main agricultural activity. The "Output of Agricultural Industry" is calculated by developing a of resources-use balance sheets for the crop and animal products and growing of livestock on the farm in quantity and value terms, using the formula "quantity x price". To these the output of agricultural services and of inseparable non-agricultural secondary activities is added. The calculated data refer to the final output, which according to the methodology for the compilation of the Economic Accounts for Agriculture includes the value of:

· sales of agricultural products and livestock (excluding sales of livestock between farms);

· change in inventories;

· production of investment goods for own account (production of propagating material for perennials in crop and livestock productivity);

· final consumption of agricultural products in farm (fresh consumption of agricultural products produced on the farm);

· processed products in agricultural holdings (in separable activities);

· agricultural products consumed on farms, but in different economic activities - for example, plant products (forage) used for feeding of animals.

The Final Output from Agricultural Industry does not include the value of:

· output produced and consumed in the same economic activity (seeds used for sowing, which are self-produced, milk for animal feed);

· additional animal products used in the crop growing (manure).

The "Intermediate consumption Agriculture" is the second key item of "Production Account" in satellite economic accounts.

The "Intermediate consumption in Agriculture" includes the value of all goods and services used as inputs in the production process, excluding fixed assets whose use is recorded as consumption of fixed capital. These goods and services are processed, or entirely consumed during the manufacturing process. The detailed breakdown of the various categories of intermediate consumption shows the connection which the purchased inputs, fertilizers and products establish between the Agriculture and other sectors of the economy. Therefore, intermediate consumption is a good indicator of the intensity of agricultural production.

The main components of intermediate consumption:

· Seeds and planting stocks;

· Energy, Fuels;

· Fertilizers and soil improvements;

· Plant protection products;

· Veterinary expenses;

· Feeding-stuffs;

· Maintenance of equipment and facilities;

. Maintenance of buildings

· Support services;

· Agricultural Services;


· Other goods and services.

Goods and services - intermediate goods are valued at purchase price, operating at the time of their inclusion in the process. The purchase price is the amount actually paid by the purchaser at the time of purchase of the products. This price includes taxes on products less subsidies on products (excluding VAT) and transportation costs separately paid by the purchaser to the acquisition of the desired products in its own time and place. The price also reflects discounts made for purchasing of quantities or at reduced prices.

The indicator is calculated for calendar year at current and constant value.

The "Value added in Agriculture" is the balancing item in the "Production Account" of satellite economic accounts. It measures the value created by agricultural holdings within the calendar year and is a key element in measuring the productivity of the sector "Agriculture". Depending on whether it includes or not includes the value of consumption of fixed capital, it is defined as gross or net value added.

The "Consumption of Fixed Capital in Agriculture" measures the wear and tear of aging fixed capital goods. The foreseeable wear and tear and obsolescence of fixed capital goods during the accounting period is indirect cost until their replacing with new ones. The Consumption of Fixed Capital in Agriculture is calculated for all tangible and intangible fixed assets, improvements to non-produced assets and costs associated with the transfer of ownership. Consumption of fixed capital is not calculated for stocks, work in progress and for non-produced assets such as land, underground deposits and patented assets.

The "Income at factor cost in Agriculture" or "Net value added at Factor Cost" is the value (calculated at basic prices) generated within the calendar year of all agricultural units involved in production, less other taxes on production plus other subsidies on production. Thus, the index measures the remuneration of all factors of production (land, capital and labor).

The "Net Operating Surplus/Net Mixed Income in Agriculture" measures the yield from land, capital and non-salaried labor in agriculture. The indicator is calculated by excluding from the net value added the compensation of employees and other taxes on production and adding other subsidies on production. The "Net operating surplus/net mixed income" is part of the balancing item of the Generation of income Account.

The "Net Entrepreneurial income in Agriculture" measures the compensation of non-salaried labour, remuneration from land belonging to the units and the yeild, araising from the use of capital. The indicator is calculated by adding the value of the received by farms organized as companies interests to the value of the net operating surplus/mixed income and deducting interest and rents paid by farms.

One of the principal objectives of the EAA is to measure agricultural income and changes therein.
The three agricultural income indicators can be described as follows:
Indicator A: index of the real income of factors in agriculture per AWU
Indicator B: index of real net agricultural entrepreneurial income, per non-salaried AWU
Indicator C: net entrepreneurial income of agriculture

2.5. Statistical unit

Agricultural Holdings - legal and physical persons.

In order to analyse flows generated by the production process and the use of goods and services, it is necessary to select units which emphasise relationships of a technico-economic kind.

This requirement means that as a rule institutional units must be partitioned into smaller and more homogeneous units with regard to the kind of production.

Local kind-of-activity units (local KAUs) are intended to meet this requirement as a first but practically-oriented operational approach.

2.6. Statistical population

The agricultural holding, which is the unit currently used for statistical studies of agriculture (censuses, surveys of the structure of agricultural holdings), is the local KAU most appropriate to the agricultural industry. In addition to agricultural holdings, the agricultural industry comprises units made up of groups of producers (e.g. cooperatives) which produce wine and olive oil and specialised units which provide machines, material and labour for the performance of contract work.

The statistical population includs all agricultural holdings - juridical and physical persons enumerated during the Agricultural Census/Farm Strucsture Survey carried out every ten years.

2.7. Reference area
2.7.1 Geographical area covered

The entire territory of the country.

2.7.2 Which special Member State territories are included?

Not applicable.

2.8. Coverage - Time

From 1995 onwards except the data on GFCF, which were first compiled for 2004.

2.9. Base period

Previous year=100.

3. Statistical processing Top
3.1. Source data

Overall summary

3.1.1 Total number of different data sources used


The breakdown is as follows: 
3.1.2 Total number of sources of the type "Census"


3.1.3 Total number of sources of the type "Sample survey"


3.1.4 Total number of sources of the type "Administrative source"

1 - Paying Agency - Annual data for subsidies in Agriculture.

3.1.5 Total number of sources of the type "Experts"

1- Information for annual expenditures per unit of agricultural land for setting-up and groying-up of permanent crops. The information is used for the elaboration of a Capital Account - for item "Gross fixed capital formation in plantations".

3.1.6 Total number of sources of the type "Other sources"



If there is a specific census conducted in your country to collect data exclusively for the EAA please describe it in this part. For other data sources please use table 3.1 in the annexed Excel file. If metadata already exist just provide the name of the data source. 
3.1.7 Name/Title

Not used.

3.1.8 Name of Organisation responsible

Not used.

3.1.9 Main scope

Not used.

3.1.10 List used to build the frame

Not used.

3.1.11 Any possible threshold values

Not used.

3.1.12 Population size

Not used.

3.1.13 Additional comments

Not used.

Sample survey

If there is a specific survey conducted in your country to collect data exclusively for the EAA please describe it in this part. For other data sources please use table 3.1. If metadata already exist just provide the name of the data source.(e.g. FSS, Crop production, Animal production, Prices in Agriculture) 
3.1.14 Name/Title

See Annexes.

3.1.15 Name of Organisation responsible

See Annexes.

3.1.16 Main scope

See Annexes.

3.1.17 List used to build the frame

See Annexes.

3.1.18 Any possible threshold values

See Annexes.

3.1.19 Population size

See Annexes.

3.1.20 Sample size

See Annexes.

3.1.21 Sampling basis List
3.1.22 If Other, please specify
3.1.23 Type of sample design Stratified
3.1.24 If Other, please specify
3.1.25 If Stratified, number of strata

See Annexes.

3.1.26 If Stratified, stratification criteria Unit size
3.1.27 If Other, please specify

See Annexes.

3.1.28 Additional comments

Administrative source

If there is a specific administrative source in your country witch provide data exclusively for the EAA please describe it in this part. For other administrative sources please use table 3.1. If metadata already exist just provide the name of the data source. 
3.1.29 Name/Title

See Annexes.

3.1.30 Name of Organisation responsible

See Annexes.

3.1.31 Contact information (email and phone)

See Annexes.

3.1.32 Main administrative scope

See Annexes.

3.1.33 Geospatial Coverage National
3.1.34 Update frequency Continuous
3.1.35 Legal basis

See Annexes.

3.1.36 Are you able to access directly to the micro data? No
3.1.37 Are you able to check the plausibility of the data, namely by contacting directly the units? No
3.1.38 How would you assess the proximity of the definitions and concepts (including statistical units) used in the administrative source with those required in the EU regulation? Good
3.1.39 Please list the main differences between the administrative source and the statistical definitions and concepts

See Annexes.

3.1.40 Is a different threshold used in the administrative source and statistical data? No
3.1.41 If Yes, please specify
3.1.42 Additional comments


If there is a specific expert source in your country witch provide data exclusively for the EAA please describe it in this part. For other expert sources please use table 3.1. If metadata already exist just provide the name of the data source.
3.1.43 Name/Title

See Annexes.

3.1.44 Primary purpose

See Annexes.

3.1.45 Legal basis

See Annexes.

3.1.46 Update frequency Annual
3.1.47 Expert data supplier Ministry
3.1.48 If Other, please specify
3.1.49 How would you assess the quality of those data? Good
3.1.50 Additional comments

Other sources

If there is more than one other statistical activity, please describe the main one below and the additional ones in table 3.1 of the annexed Excel file 
3.1.51 Name/Title

Not used.

3.1.52 Name of Organisation

Not used.

3.1.53 Primary purpose

Not used.

3.1.54 Data type
3.1.55 If Other, please specify

Not used.

3.1.56 How would you assess the quality of those data?
3.1.57 Additional comments


3.2. Frequency of data collection

Annual, quarterly.

3.3. Data collection


If there is a specific census conducted in your country to collect data exclusively for the EAA please describe the method of data collection in this part. For other data sources please use table 3.3. If metadata alredy exist just provide the name of the data source. 
3.3.1 Name/Title

Not used.

3.3.2 Methods of data collection
3.3.3 If Other, please specify
3.3.4 If face-to-face or telephone interview, which method is used?
3.3.5 Data entry method, if paper questionnaires?
3.3.6 Please annex the questionnaire used (if very long: please provide the hyperlink)
3.3.7 Additional comments

Sample survey

If there is a specific survay conducted in your country to collect data exclusively for the EAA please describe the method of data collection in this part.For other data sources please use table 3.3. If metadata alredy exist just provide the name of the data source. 
3.3.8 Name/Title

See Annexes.

3.3.9 Methods of data collection Electronic questionnaire
Postal questionnaire
3.3.10 If Other, please specify
3.3.11 If face-to-face or telephone interview, which method is used?
3.3.12 Data entry method, if paper questionnaires? Manual
3.3.13 Please annex the questionnaire used (if very long: please provide the hyperlink)
3.3.14 Additional comments

Administrative source

If there is a specific administrative source in your country to collect data exclusively for the EAA please describe the metod of data collection in this part.For other data sources please use table 3.3. If metadata alredy exist just provide the name of the data source. 
3.3.15 Name/Title

See Annexes.

3.3.16 Extraction date

See Annexes.

3.3.17 How easy is it to get access to the data? Access granted after negotiations
3.3.18 Data transfer method

Via email.

3.3.19 Additional comments


If there is a specific expert source in your country witch provide data exclusively for the EAA please describe the metod of data collection in this part. For other expert sources please use table 3.3. If metadata alredy exist just provide the name of the data source.
3.3.20 Name/Title

See Annexes.

3.3.21 Methods of data collection

Accoding the the agreement for data echange between the NSI and MAFF.

The data are supplied via email.

3.3.22 Additional comments
3.4. Data validation
3.4.1 Which kind of data validation measures are in place? Automatic
3.4.2 What do they target? Completeness
3.4.3 If Other, please specify
3.5. Data compilation
3.5.1 Describe the data compilation process

According to the Regulation 138/2004/EC data three data sets were compiled: first and second estimate and definitive data.

Production Account


  • Crop Output
  • Animal Output
  • Agricultural services
  • Non-agricultural secondary activities

For the compilation of Crop and Animal Output values resources-use balance-sheets for each crop products and for the main livestock categories and animal products in quantity and value terms were compiled. For the resource part of the tables data on production of crops and on animal products and numbers of animals form the surveys carried out by the MAFF are used. Data on initial stocks and loses are collected in the Annual Report of agricultural holdings. Allocation of data by items in usable output in the balance sheets is done by the coefficients, calculated on the base of information reported in the Annual Report of Agricultural Holdings. For the calculation of output data at current and constant prices producer prices in the current and preceding year are used. The Agricultural output is also calculated at basic prices by adding the subsidies on products and deduction of the taxes on products (if any).

Data on agricultural Services are collected within Annual Report of Agricultural Holdings.

For Non-agricultural secondary activities list of processed products is established. For those products estimates (in quantity) on the base of historical data, collected within the Quarterly survey of economic accounts for agriculture and data on producer prices in processing industry from business statistics are calculated.

Item Intermediate Consumption. Data on the items of the intermediate consumption for juridical persons are collected with Annual Report of Agricultural Holdings. The agricultural households are not obliged to report data to the statistical bodies because of lack of accountancy. For this category estimations are calculated.

Gross Value added at basic prices - balancing item

Fixed capital consumption (equipment, buildings, plantations and others)

Data on those items are collected within the Annual Report of Agricultural Holdings.

Net Value added at basic prices - balancing item.


Generation of Income Account

Data on the items Compensation of employees, and Other taxes on production are supplied by the National Accounts.

Data on Other subsidies on production are supplied by the Paying Agency.


Entrepreneurial Income Account

Rents and other real estate rental charges to be paid - information is collected within Annual Report of Agricultural Holdings.

Data of items Inters paid and Inters received are collected by the Annual Report of Non-financial Enterprises.

The information is supplied by the Business statistics.


Capital Account

GFCF in agricultural products

GFCF in plantations - for the elaboration of these data information from the MAFF is used. This are expert’s calculations of the expenses, spent for the establishment of new plantations and growing-up of new plantations until the maturity reached. Data on the areas of new and young plantation are also presented. The values are allocated per unit of area and per type of permanent crops.

GFCF in animals - data on this item are calculated within the balance sheets by main livestock categories, compiled for the Production Account.

Balances of productive animals as a part of balance sheets, is also compiled.

GFCF in non-agricultural products - data on GFCF in materials, in buildings and in other GFCF are collected within the Annual Accounting Report of Non-financial Enterprises from Business Statistics.

3.5.2 Additional comments
3.6. Adjustment

Not applied.

4. Quality management Top
4.1. Quality assurance
4.1.1 Is there a quality management system used in the organisation? Yes
4.1.2 If yes, how is it implemented?

The Quality Management System is based on fifteen principles of the European Code of Practice.

There are set in place Quality Management Policy and Quality Management Programme.

There are elaborated Guidelines on quality criteria in the National Statistical System and for quality assessment in the NSI and Handbook for Internal Audits at the NSI.

A special unit, which is responsible for the implementation of Quality Policy is set up.

This unit is working close with other statistical units in the process of elaboration of metadata and quality reports and supply methodological support in the various statistical domains.

4.1.3 Has a peer review been carried out? Yes
4.1.4 If Yes, which were the main conclusions?

The last Peer Review in the Bulgarian NSI was carried out in 2014.

The main recommendations related to the Quality management of statistical process were:

  • A quality management system inspired by the concepts of the European Foundation for Quality Management should be established.
  • The head of the unit responsible for quality should play the role of Quality Manager, and a cross-organisational Quality Committee should be established to support him/her.
  • The National Statistical Institute should adopt quality guidelines that describe in detail the implementation of quality management within the statistical production processes based on the Generic Statistical Business Process Model or another equivalent model.
  • Both metadata reports and quality reports, which follow a uniform and standardised format for all statistics and provide users with all relevant metadata and quality indicators, should be available on the National Statistical Institute website.

 In the domain of Economic Accounts for Agriculture the quality assurence is base on:

  • Availability of Inventory on the elaboration of Economic Accounts for Agriculture, in which the methods and procedures for data compiling are described and data compliance with the EU methodology is documented.
  • Availability of updated metadata on the NSI website.
  • Published Methodology on the NSI website.
  • During the meetings of Eurostat WG "Agricultural accounts and prices" methodological issues were discussed and examples for good practices for data calculation were provided from EU Member States.
4.1.5 What quality improvements are foreseen? Further automation
Peer review
4.1.6 If Other, please specify
4.1.7 Additional comments
4.2. Quality management - assessment

Development since the last quality report

4.2.1 Overall quality Stable
4.2.2 Relevance Stable
4.2.3 Accuracy and reliability Stable
4.2.4 Timeliness and punctuality Stable
4.2.5 Comparability Stable
4.2.6 Coherence Stable
4.2.7 Additional comments

5. Relevance Top
5.1. Relevance - User Needs
5.1.1 If certain user needs are not met, please specify which and why

Not investigated.

5.1.2 Please specify any plans to satisfy needs more completely in the future

No further plans.

5.1.3 Additional comments
5.2. Relevance - User Satisfaction
5.2.1 Has a user satisfaction survey been conducted? No
If Yes, please answer all the following questions 
5.2.2 Year of the user satisfaction survey
5.2.3 How satisfied were the users?
5.2.4 Additional comments
5.3. Completeness
5.3.1 Data completeness - rate

92% of requested data are supplied to Eurostat. Data for 15 items is missing. Not defined items are not included in the calculation of complitnedd ratio.

5.3.2 If not complete, which characteristics are missing?

02400 - sugar beet

04110 - cauliflower

04230 - plantations

07000 - wine

09100 - vegetable materials used primarily for plaiting

12920 - silkworm cocoona

17162 - other animal products

17900 - other non-separable secondary activities (goods and services)

37000 - capital transfers

37100 - investments grants

37200 - other capital transfers

5.3.3 Additional comments

6. Accuracy and reliability Top
6.1. Accuracy - overall
6.1.1 How good is the accuracy? Good
6.1.2 What are the main factors lowering the accuracy? Non-response error
Coverage error
6.1.3 If Other, please specify
6.1.4 Additional comments
6.2. Sampling error

Not applicable.

6.2.1. Sampling error - indicators

Not applicable.

6.3. Non-sampling error

Not applicable.

6.3.1. Coverage error

Not applicable. Over-coverage - rate

Not applicable. Common units - proportion

Not applicable.

6.3.2. Measurement error

Not applicable.

6.3.3. Non response error

Not applicable. Unit non-response - rate

Not applicable. Item non-response - rate

Not applicable.

6.3.4. Processing error

Not applicable. Imputation - rate

Not applicable.

6.3.5. Model assumption error

Not applicable.

6.4. Seasonal adjustment

Not applicable.

6.5. Data revision - policy

According to the established policy, data revisions are made when the methodology, the classifications and definitions used are changed.

6.6. Data revision - practice
6.6.1 Data revision - average size

Data revisions were not undertaken for the whole period for which data were available.

6.6.2 Were data revisions due to conceptual changes (e.g. new definitions)  carried out since the last quality report? No
6.6.3 What was the main reason for the revisions?
6.6.4 How do you evaluate the impact of the revisions?
6.6.5 Additional comments

7. Timeliness and punctuality Top
7.1. Timeliness
7.1.1 When were  the first  results for the reference period published?

In second half of December, year n.

7.1.2 When were  the final results for the reference period published?

In second half of October, year n+1.

7.1.3 Reasons for possible long production times?
7.2. Punctuality
7.2.1 Were data released nationally according to a pre-announced schedule (Release Calendar)? Yes
7.2.2 If Yes, were data released on the target date? Yes
7.2.3 If No, reasons for delays?
7.2.4 Number of days between the national release date of data and the target date

8. Coherence and comparability Top
8.1. Comparability - geographical

To be assessed by Eurostat

8.1.1. Asymmetry for mirror flow statistics - coefficient

Not applicable.

8.2. Comparability - over time
8.2.1 Length of comparable time series

1999 onwards.

8.2.2 Have there been major breaks in the time series? No
8.2.3 If Yes, please specify the year of break and the reason
8.2.4 Additional comments
8.3. Coherence - cross domain
8.3.1 With which other national data sources have the data been compared?

In principle comparisons are made of the item Output from the Agricultural industry and data on the Standard Output (calculated within FSS) when this data are made available.

Comparisons are also made with National Accounts (NA) data.

The differences are presented in the Bridge Tables.

8.3.2 Describe briefly the results of comparisons

The differences in values on Agricultural Output in EAA and SO (FSS) last available are not significant.

The differences between the EAA and NA data are due to the different scope of two areas and they are considered acceptable.

8.3.3 If no comparisons have been made, explain why
8.3.4 Additional comments
8.4. Coherence - sub annual and annual statistics

There is full coherence with information from surveys with less frequency.

8.5. Coherence - National Accounts

Use of EAA-data in NA calculations

Are EAA used by NA as data source for Group 01 Degree of implication Please describe briefly the reasons
Output Main source used

There is not other data source for compilation of data on this item.

Intermediate consumption Main source used

There is not other data source for compilation of data on this item.

Fixed capital consumption Main source used

There is not other data source for compilation of data on this item.

Compensation of employees Not used

Because of different scope of two domains.

Taxes Not used

Because of different scope of two domains.

Subsidies Main source used

There is not other data source for compilation of data on this item.

Rents Secondary source used

Data from Business statstsics are also used.

Interest Secondary source used

Data from Business statistics are also used.

Gross fixed capital formation Main source used

There is not other data source for compilation of data on this item.

Labour input Secondary source used

Data from Business statistics are also used.

Use of NA-data in EAA calculations

Are NA used as data source for EAA Degree of implication  Please describe briefly the reasons 
Output Not used

Because of different scope of two domains.

Intermediate consumption Not used

Because of different scope of two domains.

Fixed capital consumption Not used

Because of different scope of two domains.

Compensation of employees Main source used

The official data for the employees in the national economy are compiled by the National Accounts.

Taxes Main source used

Because of different scope of two domains.

Subsidies Not used

Because of different scope of two domains. In the NA data only subsidies form the National Budget are included.

Rents Not used

Because of different scope of two domains.

Interest Not used

Because of different scope of two domains.

Gross fixed capital formation Not used

Because of different scope of two domains.

Labour input Not used

Because of different scope of two domains.

8.6. Coherence - internal

There is consistency ensured between the data on the items of agricultural output - crop output, animal output, agricultural services output and output of secondary non-agricultural activities (inseparable).

9. Accessibility and clarity Top
9.1. Dissemination format - News release
9.2. Dissemination format - Publications
9.2.1 Do you produce a paper publication? Yes
9.2.2 If Yes, is there an English version? Yes
9.2.3 Do you produce an electronic publication? Yes
9.2.4 If Yes, is there an English version? Yes
9.2.5 Please provide a link

9.3. Dissemination format - online database
9.3.1 Data tables - consultations

At this moment this is not possible

9.3.2 Is an on-line database accessible to users? Yes
9.3.3 Please provide a link


9.4. Dissemination format - microdata access
9.4.1 Are micro-data accessible to users? No
9.4.2 Please provide a link
9.5. Dissemination format - other

Not available.

9.6. Documentation on methodology
9.6.1 Are national reference metadata files available? Yes
9.6.2 Please provide a link

9.6.3 Are methodological papers available? Yes
9.6.4 Please provide a link

9.6.5 Is a handbook available? No
9.6.6 Please provide a link
9.7. Quality management - documentation
9.7.1 Metadata completeness - rate

The metadata are compiled according to the ESMS.

9.7.2 Metadata - consultations

Not available.

9.7.3 Is a quality report available? Yes
9.7.4 Please provide a link

10. Cost and Burden Top
10.1 Efficiency gains if compared to the previous quality report Further automation
10.2 If Other, please specify
10.3 Burden reduction measures since the previous quality report More user-friendly questionnaires
10.4 If Other, please specify

11. Confidentiality Top
11.1. Confidentiality - policy
11.1.1 Are confidential data transmitted to Eurostat? No
11.1.2 If yes, are they confidential in the sense of Reg. (EC) 223/2009?
11.1.3 Describe the data confidentiality policy in place
  • Law on Statistics;
  • Regulation (EC) 223/2009 on European statistics (recital 24 and Article 20 (4)) of 11 March 2009 (OJ L 87, p 164) foresee that for that purpose it is necessary to establish common principles and guidelines, ensuring data confidentiality of data used for production of European Statistics and access to those confidential data with account for technical developments and requirements of users in democratic society;
11.2. Confidentiality - data treatment
11.2.1 Describe the procedures for ensuring confidentiality during dissemination

Individual data shall not be published, observing art. 25 of the Law on Statistics. The dissemination of individual data is made only under Art. 26 of the Law on Statistics.

11.2.2 Additional comments

12. Comment Top

No comments.


Related metadata Top

Annexes Top