GDP identity from the income side - Annual data| Contact |
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| Contact organisation | National Statistical Institute of Bulgaria |
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| Contact organisation unit | National Non-financial Accounts |
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| Contact name | Marin Gergov Radostina Partinova Hadil Shehebar |
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| Contact person function | Head of department State expert Chief expert |
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| Contact mail address | 2 P. Volov Str., Sofia 1038 |
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| Contact email address | [email protected] [email protected] [email protected] |
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| Contact phone number | +359 2 9857 666 +359 2 9857 402 +359 2 9857 537 |
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| Contact fax number | |
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| Statistical presentation |
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| Data description | National accounts for Bulgaria are compiled according to the main methodological recommendations of the documents "System of National Accounts, 2008" (SNA 2008), an issue of EUROSTAT, IMF, OECD, UN and the World Bank, and "European System of Accounts, 2010" (ESA 2010), an issue of EUROSTAT. Main macroeconomic indicator of the system of national accounts is the gross domestic product (GDP). The method of income is an integral part of the accounts for the primary distribution of income. Approach reflects income as an element of the value added created in the production process. Balance sheet item of income approach is the gross operating surplus / mixed income. |
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| Classification system | National accounts aggregates by industry (up to NACE A*64); Classification of Economic Activities (CEA-2008, for international use NACE.BG-2008). ESA2010 uses aggregation levels of the NACE Rev.2 classification to define industry breakdowns (NACE stands for Nomenclature générale des Activités économiques dans les Communautés Européennes). NACE Rev.2 is a classification of economic activities widely used in statistics and in other domains. Requirements for the transmission of NACE Rev.2 series have been specified in the Commission Regulation (EC) No 715/2010 of 10 August 2010 |
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| Sector coverage | National accounts describe the total economy of a country. All units that have their centre of predominant economic interest in the economic territory of that country are covered. Two of the most important breakdowns are the breakdown by institutional sector and the breakdown by NACE Rev. 2 activity. Concerning the institutional sector breakdown, ESA 2010 distinguishes five mutually exclusive domestic institutional sectors: (a) non-financial corporations; (b) financial corporations; (c) general government; (d) households; (e) non-profit institutions serving households. The five sectors together make up the total domestic economy. Each sector is also divided into subsectors. Regarding the activity breakdown, ESA 2010 applies NACE Rev.2. Activities can be broken down into several levels of detail, for example into 3, 10, 21, 38, 64 or 88 activities. At the 'highest' level a breakdown into 3 categories is defined: (a) agriculture, forestry and fishing; (b) mining and quarrying, manufacturing, electricity gas steam and air conditioning supply, water supply, sewerage, waste management and remediation activities, construction; (c) services. Annual national accounts refer to the whole economy, but breakdowns by sectors are provided by the annual sector accounts. |
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| Statistical concepts and definitions | All statistical concepts and definitions to be used in national accounts are described in Annex A of the ESA 2010 Regulation (link to blue book on ESA 2010 methodology). The two main sets of tables concern: (a) the institutional sector accounts; (b) the input-output framework, and the accounts by industry. The Generation of Income account is compiled in parallel with the Production account and shows the activity, economic and institutional sector in which the primary incomes originate. Gross value added is the resource of this account.Scheme for the calculation of GDP by the value method is as follows:Gross domestic product (market prices ) : + Compensation of employees ( labor costs and social security ) + Net other taxes on production and imports (taxes - subsidies on production and imports ) + Gross operating surplus / mixed income + Adjustments. Components of the value method are grouped by economic sector, sectors and can only be assessed at current prices as follows: Compensation of employees comprising two main components: Salaries and wages; and social contributions. Wages include all charges by the employer in cash and in kind, and all payments under employment legislation by reason of the employees work in the period before the payments made for income tax. Social security contributions paid by the employer are payments for social security in order to secure funds for the payment of pensions, social benefits. These payments include social security contributions (actual and imputed), the contributions payable by the employer including health insurance contributions. Their size is defined as a percentage of the gross wage. Other net taxes (taxes less subsidies) on production and imports are included as a component of value added by industry and are related to the production as a whole, not compensated by the employer payments to the state budget, less subsidies on production, provide business units. Gross operating surplus / mixed income is the balancing item in the value method. It is a measure of the production activities of the business units. In unincorporated enterprises owned by households, this balancing item is called mixed income and contains as an element profits and remuneration for work by the owner himself or members of his family. Position can be represented in gross or net terms regarding the consumption of fixed capital (depreciation). |
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| Statistical unit | National accounts aim to capture economic activity within the domestic territory. They combine data from a host of base statistics, and thus they have no common sampling reference frame. The elementary building blocks of ESA 2010 statistics are statistical units and their groupings. ESA 2010, defines two types of units, institutional units and local kind-of-activity units (ESA 2010, 1.54). Following the ESA 2010 2010 guidelines, in national accounts two types of units and two corresponding ways of subdividing the economy are used: (a) institutional unit; (b) local kind-of-activity unit (local KAU). The first type is used for describing income, expenditure and financial flows as well as balance sheets. The second type of units is used for the description of production processes and for input-output analysis. An institutional unit is an economic entity characterised by decision-making autonomy in the exercise of its principal function. A resident unit is regarded as constituting an institutional unit in the economic territory where it has its centre of predominant economic interest if it has decision-making autonomy and either keeps a complete set of accounts, or is able to compile a complete set of accounts. A local KAU groups all the parts of an institutional unit in its capacity as producer which are located in a single site or in closely located sites, and which contribute to the performance of an activity at the class level (four digits) of the NACE Rev. 2. An institutional unit comprises one or more local KAUs; a local KAU belongs to one and only one institutional unit. |
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| Statistical population | The national accounts population of a country consists of all resident statistical units (institutional units or local KAUs, see section 3.5). A unit is a resident unit of a country when it has a centre of predominant economic interest on the economic territory of that country — that is, when it engages for an extended period (one year or more) in economic activities on this territory. |
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| Reference area | The reference area for national accounts is the total economy of a country. The total economy of a country can be broken down into regions. The NUTS classification provides a single, uniform breakdown of the economic territory of (the Member States of) the EU. |
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| Time coverage | data starting from 1995 |
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| Base period | NA |
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| Statistical processing |
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| Source data | Sources of data are statistical surveys are annual accounts of economic units and administrative data:Income and expenses, including statistical annexes; LFS, Annual statistical report on employees and wages and salary;Consolidated Statement of implementation of the state budget; Tax information and other. |
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| Frequency of data collection | Annually |
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| Data collection | Exhaustively for all units |
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| Data validation | Implementation of validated procedures for assessing data quality |
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| Data compilation | Implementation of validated procedures for assessing the quality of data and the development of estimation of the completeness of the data. |
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| Adjustment | |
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| Quality management |
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| Quality assurance | Quality is assured by strict application of ESA 2010 concepts and by thorough validation of the data. |
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| Quality assessment | Quality is assured by strict application of ESA 2010 concepts and by thorough validation of the data. |
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| Relevance |
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| User needs | National Accounts data is key information for economic policy monitoring and decision making, forecasting, for administrative purposes and for information of the general public and for economic research. Users of annual national accounts data are typically interested in analysing structural changes in the economy from a medium-term perspective |
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| User satisfaction | |
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| Completeness | BG NSI follows up the interest perceived from users on the basis of databases and downloads of the data. |
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| Data completeness - rate | |
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| Accuracy and reliability |
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| Overall accuracy | BG NSI publishes all revision and explanations of the data. |
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| Sampling error | |
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| Sampling errors - indicators | NA |
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| Non-sampling error | NA |
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| Coverage error | NA |
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| Over-coverage - rate | NA |
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| Common units - proportion | NA |
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| Measurement error | NA |
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| Non response error | NA |
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| Unit non-response - rate | NA |
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| Item non-response - rate | NA |
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| Processing error | NA |
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| Imputation - rate | NA |
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| Model assumption error | NA |
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| Seasonal adjustment | NA |
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| Data revision - policy | National data are revised according to national schedules, and revisions are transmitted to Eurostat. Figures for the annual aggregates are revised at least twice per year, with the t+2 months and the t+9 months releases of quarterly accounts. These dates are pre-announced in the release calendar on BG NSI's web-site. On these occasions, previously published figures are subject to revision for all variables and all quarters. |
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| Data revision - practice | National accounts data are subject to continuous routine revisions as new input data becomes available. This will typically also entail revisions of the national accounts aggregates, which are derived from these data. In BG national accounts two types of revisions are: Regular – quarterly, preliminary, final data; and Major - based on implementation of new methodology or GNI reservations. |
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| Data revision - average size | |
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| Timeliness and punctuality |
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| Timeliness | |
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| Time lag - first results | The data transmitted to Eurostat are in compliance with ESA 2010 DTP and respective derogations for the country. |
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| Time lag - final results | The data transmitted to Eurostat are in compliance with ESA 2010 DTP and respective derogations for the country. |
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| Punctuality | |
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| Punctuality - delivery and publication | The data transmitted to Eurostat are in compliance with ESA 2010 DTP and respective derogations for the country. |
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| Coherence and comparability |
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| Comparability - geographical | The comparability is insured by the application of common definitions of ESA 2010 |
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| Asymmetry for mirror flows statistics - coefficient | |
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| Comparability - over time | By using a common framework, the European System of Accounts ESA 2010, data can be comparable over time. |
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| Length of comparable time series | |
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| Coherence - cross domain | In certain cases, data from other domains of economic statistics, i.e. balance of payments statistics, business statistics, household budget statistics or external trade statistics can be used for cross-checking purposes. These economic statistics are also available from the appropriate domains on BG NSI's website. |
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| Coherence - sub annual and annual statistics | Annual and quarterly data for all sub domains of national accounts should be coherent. |
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| Coherence - National Accounts | Annual and quarterly data for all sub domains of national accounts should be coherent. |
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| Coherence - internal | Annual and quarterly data for all sub domains of national accounts should be coherent. |
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| Accessibility and clarity |
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| News release | NA |
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| Publications | Publication "Main Macroeconomic Indicators"; Statistical Yearbook; Statistical Reference book; Electronic publication |
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| On-line database | Data are available to all users of the NSI website under the heading Macroeconomic statistics -Gross Domestic Product - Annual data - GDP by Income approach - Total of economy: http://infostat.nsi.bg/infostat/pages/reports/query.jsf?x_2=135 |
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| Data tables - consultations | |
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| Micro-data access | NA |
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| Other | NA |
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| Metadata - consultations | |
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| Documentation on methodology | European System of Accounts (2010) (Eurostat). The methodology is also available on BG NSI website. |
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| Metadata completeness – rate | |
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| Quality documentation | Quality is assured by strict application of ESA 2010 concepts and by thorough validation of the data |
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| Cost and burden |
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NA |
| Confidentiality |
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| Confidentiality - policy | Law on Statistics; Regulation (EC) No 223/2009 on European statistics (recital 24 and Article 20(4)) of 11 March 2009 (OJ L 87, p. 164), stipulates the need to establish common principles and guidelines ensuring the confidentiality of data used for the production of European statistics and the access to those confidential data with due account for technical developments and the requirements of users in a democratic society. The European Statistics Code of Practice provides further conditions that have to be respected by statistical offices in regard to statistical confidentiality (Principle 5): The privacy of data providers (households, enterprises, administrations and other respondents), the confidentiality of the information they provide and its use only for statistical purposes are absolutely guaranteed. |
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| Confidentiality – data treatment | If data are with a confidentiality flag or are under an embargo date, these data are not published. |
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| Comment |
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