GDP by Final Expenditure, basic data – Total of economy

Time series : GDP_1.4.3_ESA_2010_en.xls

GDP - Production Methods, Final Expenditure, by Income - basic and detailed data - national level - GDP - seasonally adjusted data
Contact
Contact organisation	National Statistical Institute
Contact organisation unit	Non-financial National and Regional Accounts
Contact name	Iliyana Ivanova Hadil Shehebar
Contact person function	State expert Junior expert
Contact mail address	2 P. Volov Str., Sofia 1038
Contact email address	[email protected] [email protected]
Contact phone number	+359 2 9857 471 +359 2 9857 537
Contact fax number
Metadata update
Metadata last certified	17 August 2023
Metadata last posted	17 August 2023
Metadata last update	17 August 2023
Statistical presentation
Data description	Seasonally adjusted data are data that are removed periodically recurring within a one period component of the time series - seasonal and calendar variations. Seasonally adjusted data show highlights the behavior of the studied fluctuations (changes in the direction of development and changes related to the business cycle).
Classification system	Classification of Economic Activities (CEA-2008, for international use NACE.BG-2008)
Sector coverage	Total of economy.
Statistical concepts and definitions	Fluctuations caused by abnormal levels of seasonal factors (e.g., extreme weather conditions or unusual circumstances) are visible in the seasonally adjusted data because they exceed or fall below the average seasonal values. Deviations of an occasional nature and unusual changes for which there is an economic explanation (e.g., effects of changes in economic policy, large procurement, natural disasters, etc.) are not eliminated in the season adjustment, i.e. they are part of the seasonally adjusted data. Seasonal adjustment also includes the elimination of calendar effects, as far as they result from the difference in the number of weekdays and weekends, and can be quantified. Seasonally adjusted data are data that are removed periodically repeated within period components of the series - seasonal and calendar variations. So seasonally adjusted data highlights the behavior of the studied variables (changes in the direction of development and changes related to the business cycle). The seasonally adjusted lines contain random component (noise) having different levels in different series and the amount depends on the economic nature of the study, and applying the method of seasonal adjustment . Seasonal adjustment of statistical indicators in the NIS is organized according to the "Guide of the European statistical system for seasonal adjustment". The procedure is performed using the software developed by Eurostat product Demeter, where by the algorithm TRAMO / SEATS. The procedure for obtaining seasonally adjusted data includes correction of the series in terms of calendar effects and abnormal values. Calendar effects are expressed as : differences in the number of working days in a given period; effect of leap years ; holidays with variable dates (Easter). Adjustments for differences in the number of working days are made to obtain seasonally adjusted data, which are independent of the number and structure of days (number of Mondays, Tuesdays etc. / number of weekdays and weekends) in the quarter. Abnormal values (outliers) are unusual changes in time series of a given indicator. Their manifestation can be in several ways, the most significant are the peak values (abnormal values of individual observations in the order), short-term changes (series of abnormal values to change the level of the indicator for a short period of time), changes in the level (a series of abnormal values ??with constant size and time- effect on the level of the indicator).
Statistical unit	Institutional unit under ESA2010 - enterprise, household, public institution.
Statistical population	economic territory of the country
Reference area	Bulgaria
Time coverage	from 1995 (Infostat)
Base period	2015
Unit of measure
Million BGN
Reference period
Quarterly
Institutional mandate
Legal acts and other agreements	REGULATION (EU) No 549/2013 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL
Data sharing	Eurostat program to provide data on national accounts, the IMF, the UN.
Confidentiality
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 du account for technical developments and the requirements of users in a democratic society.
Confidentiality - data treatment
Release policy
Release calendar	Statistical information is published 42-43 days after the relevant period and 70 days after the expiry of the relevant period.
Release calendar access	The calendar is available on the NSI website: https://www.nsi.bg/en/node/480
User access	Data is published on the NSI website, section Macroeconomic statistics - Gross Domestic Product in accordance with the Law on Statistics and the European Statistics Code of Practice respecting the professional independence and aimed at objectivity, transparency and equal treatment of all consumers.
Frequency of dissemination
Quarterly
Accessibility and clarity
News release	Press Release
Publications
On-line database	Data are available to all users of the NSI website under the heading Macroeconomic statistics - Gross Domestic Product - Quarterly seasonally adjusted data: https://www.nsi.bg/en/node/12590
Micro-data access	Not applicable.
Other
Documentation on methodology	Guide to the European Statistical System for seasonal adjustment, European System of Accounts (2010) (Eurostat).
Quality documentation
Quality management
Quality assurance	· European Statistics Code of Practice; · Common framework for quality management in the National Statistical System.
Quality assessment	Questionnaire on the implementation of the principles of the European Statistics Code of Practice.
Relevance
User needs
User satisfaction
Completeness
Accuracy and reliability
Overall accuracy
Sampling error
Non-sampling error
Timeliness and punctuality
Timeliness	Quarterly rates: Flash estimates of GDP - T +42-43 days after the reporting period Current quarterly estimates of GDP - T +65 days after the reporting period
Punctuality
Coherence and comparability
Comparability - geographical
Comparability - over time
Coherence - cross domain	Additional information on other indicators in national accounts are available in other subject areas related to national accounts.
Coherence - internal
Cost and burden
Data revision
Data revision - policy	About the methods and revisions of seasonally adjusted data, seasonal adjustment of statistical indicators in the NIS is conducted in a harmonized European methodology described in the "Guide of the European statistical system for seasonal adjustment." The procedure is performed using the software developed by Eurostat product Demetra, whereby applied the algorithm TRAMO / SEATS.
Data revision - practice	Of seasonal adjustment are subjected data on GDP components. Applies direct method of seasonal adjustment, in which the aggregates and their components undergo self - smoothing. As a result, there is a non - additivity of the seasonally adjusted data - the aggregates are not equal to the sum of their components. The parameters of the model for seasonal adjustment are determined after the calculation of the final data for a given year (October each year) and in case of a change in the used classification of economic activities. This targeted model is used to revise the seasonally adjusted values for the quarters within the whole time series.
Statistical processing
Source data	Information sources are not adjusted quarterly data for these indicators.
Frequency of data collection	Quarterly
Data collection	Quarterly data
Data validation
Data compilation
Adjustment	Apply seasonal adjustment of the data using software JDemetra+.
Comment

Download in SDMX 2.1 file format: GDP - Production Methods, Final Expenditure, by Income - basic and detailed data - national level - GDP - seasonally adjusted data

Metadata Structure Definition in SDMX 2.1: ESMS_MSD+BNSI+2.0+SDMX.2.1.xml

Download in SDMX 2.0 file format: GDP - Production Methods, Final Expenditure, by Income - basic and detailed data - national level - GDP - seasonally adjusted data

Metadata Structure Definition in SDMX 2.0: ESMS_MSD+BNSI+2.0+SDMX.2.0.xml

GDP - Production Methods, Final Expenditure, by Income - basic and detailed data - national level - GDP - seasonally adjusted data
Contact
Contact organisation	National Statistical Institute
Contact organisation unit	Non-financial National and Regional Accounts
Contact name	Iliyana Ivanova Hadil Shehebar
Contact person function	State expert Junior expert
Contact mail address	2 P. Volov Str., Sofia 1038
Contact email address	[email protected] [email protected]
Contact phone number	+359 2 9857 471 +359 2 9857 537
Contact fax number
Statistical presentation
Data description	Seasonally adjusted data are data that are removed periodically recurring within a one period component of the time series - seasonal and calendar variations. Seasonally adjusted data show highlights the behavior of the studied fluctuations (changes in the direction of development and changes related to the business cycle).
Classification system	Classification of Economic Activities (CEA-2008, for international use NACE.BG-2008)
Sector coverage	Total of economy.
Statistical concepts and definitions	Fluctuations caused by abnormal levels of seasonal factors (e.g., extreme weather conditions or unusual circumstances) are visible in the seasonally adjusted data because they exceed or fall below the average seasonal values. Deviations of an occasional nature and unusual changes for which there is an economic explanation (e.g., effects of changes in economic policy, large procurement, natural disasters, etc.) are not eliminated in the season adjustment, i.e. they are part of the seasonally adjusted data. Seasonal adjustment also includes the elimination of calendar effects, as far as they result from the difference in the number of weekdays and weekends, and can be quantified. Seasonally adjusted data are data that are removed periodically repeated within period components of the series - seasonal and calendar variations. So seasonally adjusted data highlights the behavior of the studied variables (changes in the direction of development and changes related to the business cycle). The seasonally adjusted lines contain random component (noise) having different levels in different series and the amount depends on the economic nature of the study, and applying the method of seasonal adjustment . Seasonal adjustment of statistical indicators in the NIS is organized according to the "Guide of the European statistical system for seasonal adjustment". The procedure is performed using the software developed by Eurostat product Demeter, where by the algorithm TRAMO / SEATS. The procedure for obtaining seasonally adjusted data includes correction of the series in terms of calendar effects and abnormal values. Calendar effects are expressed as : differences in the number of working days in a given period; effect of leap years ; holidays with variable dates (Easter). Adjustments for differences in the number of working days are made to obtain seasonally adjusted data, which are independent of the number and structure of days (number of Mondays, Tuesdays etc. / number of weekdays and weekends) in the quarter. Abnormal values (outliers) are unusual changes in time series of a given indicator. Their manifestation can be in several ways, the most significant are the peak values (abnormal values of individual observations in the order), short-term changes (series of abnormal values to change the level of the indicator for a short period of time), changes in the level (a series of abnormal values ??with constant size and time- effect on the level of the indicator).
Statistical unit	Institutional unit under ESA2010 - enterprise, household, public institution.
Statistical population	economic territory of the country
Reference area	Bulgaria
Time coverage	from 1995 (Infostat)
Base period	2015
Statistical processing
Source data	Information sources are not adjusted quarterly data for these indicators.
Frequency of data collection	Quarterly
Data collection	Quarterly data
Data validation
Data compilation
Adjustment	Apply seasonal adjustment of the data using software JDemetra+.
Quality management
Quality assurance	· European Statistics Code of Practice; · Common framework for quality management in the National Statistical System.
Quality assessment	Questionnaire on the implementation of the principles of the European Statistics Code of Practice.
Relevance
User needs
User satisfaction
Completeness
Data completeness - rate
Accuracy and reliability
Overall accuracy
Sampling error
Sampling errors - indicators
Non-sampling error
Coverage error
Over-coverage - rate
Common units - proportion
Measurement error
Non response error
Unit non-response - rate
Item non-response - rate
Processing error
Imputation - rate
Model assumption error
Seasonal adjustment
Data revision - policy	About the methods and revisions of seasonally adjusted data, seasonal adjustment of statistical indicators in the NIS is conducted in a harmonized European methodology described in the "Guide of the European statistical system for seasonal adjustment." The procedure is performed using the software developed by Eurostat product Demetra, whereby applied the algorithm TRAMO / SEATS.
Data revision - practice	Of seasonal adjustment are subjected data on GDP components. Applies direct method of seasonal adjustment, in which the aggregates and their components undergo self - smoothing. As a result, there is a non - additivity of the seasonally adjusted data - the aggregates are not equal to the sum of their components. The parameters of the model for seasonal adjustment are determined after the calculation of the final data for a given year (October each year) and in case of a change in the used classification of economic activities. This targeted model is used to revise the seasonally adjusted values for the quarters within the whole time series.
Data revision - average size
Timeliness and punctuality
Timeliness	Quarterly rates: Flash estimates of GDP - T +42-43 days after the reporting period Current quarterly estimates of GDP - T +65 days after the reporting period
Time lag - first results
Time lag - final results
Punctuality
Punctuality - delivery and publication
Coherence and comparability
Comparability - geographical
Asymmetry for mirror flows statistics - coefficient
Comparability - over time
Length of comparable time series
Coherence - cross domain	Additional information on other indicators in national accounts are available in other subject areas related to national accounts.
Coherence - sub annual and annual statistics
Coherence - National Accounts
Coherence - internal
Accessibility and clarity
News release	Press Release
Publications
On-line database	Data are available to all users of the NSI website under the heading Macroeconomic statistics - Gross Domestic Product - Quarterly seasonally adjusted data: https://www.nsi.bg/en/node/12590
Data tables - consultations
Micro-data access	Not applicable.
Other
Metadata - consultations
Documentation on methodology	Guide to the European Statistical System for seasonal adjustment, European System of Accounts (2010) (Eurostat).
Metadata completeness – rate
Quality documentation
Cost and burden
Confidentiality
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 du account for technical developments and the requirements of users in a democratic society.
Confidentiality – data treatment
Comment