The National Statistical Institute (NSI) is a state institution in Bulgaria that collects, processes and disseminates official statistical information on social, economic and demographic processes in the country. The NSI's activities are aimed at providing objective and reliable data that support informed decision-making by the state, business and society. The Institute works in accordance with international statistical standards and is an active participant in the European Statistical System.
Contact | |
---|---|
Contact organisation | National Statistical Institute |
Contact organisation unit | National Non-financial Accounts |
Contact name | Hadil Shehebar Nachko Milenov |
Contact person function | Chief expert Chief expert |
Contact mail address | 2 P. Volov Str., Sofia 1038 |
Contact email address | HShehebar@nsi.bg NSMilenov@nsi.bg |
Contact phone number | +359 2 9857 537 +359 2 9857 670 |
Contact fax number | |
Metadata update | |
Metadata last certified | 04 February 2025 |
Metadata last posted | 04 February 2025 |
Metadata last update | 04 February 2025 |
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 :
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: http://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: http://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:
|
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 |
Contact | |
---|---|
Contact organisation | National Statistical Institute |
Contact organisation unit | National Non-financial Accounts |
Contact name | Hadil Shehebar Nachko Milenov |
Contact person function | Chief expert Chief expert |
Contact mail address | 2 P. Volov Str., Sofia 1038 |
Contact email address | HShehebar@nsi.bg NSMilenov@nsi.bg |
Contact phone number | +359 2 9857 537 +359 2 9857 670 |
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 :
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:
|
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: http://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 |
Date | Name |
---|---|
14.08.2025 | Gross domestic product (GDP) - national level - Second quarter of 2025 - flash estimates |
5.09.2025 | Gross domestic product (GDP) - national level - Second quarter of 2025 |
5.09.2025 | Labor productivity, employment and hours worked - Second quarter of 2025 |
20.10.2025 | Gross domestic product (GDP) - national level - 2024 - revised data |
20.10.2025 | Labour productivity - 2024 |
20.10.2025 | Labor productivity, employment and hours worked - Annual data of 2024 |
14.11.2025 | Gross domestic product (GDP) - national level - Third quarter of 2025 - flash estimates |
5.12.2025 | Gross domestic product (GDP) - national level - Third quarter of 2025 |
5.12.2025 | Labor productivity, employment and hours worked - Third quarter of 2025 |
29.01.2026 | Gross domestic product (GDP) - regional level NUTS 2 - 2024 |
13.02.2026 | Gross domestic product (GDP) - national level - Fourth quarter of 2025 - flash estimates |
9.03.2026 | Labour productivity - 2025 - preliminary data |
9.03.2026 | Gross domestic product (GDP) - national level - Fourth quarter of 2025 and 2025 - preliminary data |
9.03.2026 | Labor productivity, employment and hours worked - Fourth quarter of 2025 and 2025 - preliminary data |
15.05.2026 | Gross domestic product (GDP) - national level - First quarter of 2026 - flash estimates |
Date | Name | File |
---|---|---|
3.04.2025 | Key Indicators for Bulgaria (as of 03.04.2025) | |
30.12.2024 | Key Indicators for Bulgaria (as of 30.12.2024) | |
2.10.2024 | Key Indicators for Bulgaria (as of 02.10.2024) | |
3.07.2024 | Key Indicators for Bulgaria (as of 03.07.2024) | |
3.06.2024 | Statistical Yearbook 2023 |
19438.96 kb |
3.04.2024 | Key Indicators for Bulgaria (as of 03.04.2024) |
The National Statistical Institute (NSI) is a state institution in Bulgaria that collects, processes and disseminates official statistical information on social, economic and demographic processes in the country. The NSI's activities are aimed at providing objective and reliable data that support informed decision-making by the state, business and society. The Institute works in accordance with international statistical standards and is an active participant in the European Statistical System.
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