Contact | |
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Contact organisation | National Statistical Institute |
Contact organisation unit | Non-financial National and Regional Accounts |
Contact name | Hadil Shehebar |
Contact person function | Junior expert |
Contact mail address | 2 P. Volov Str., Sofia 1038 |
Contact email address | |
Contact phone number | +359 2 9857 537 |
Contact fax number | |
Statistical presentation | |
Data description | Labour productivity is an economic indicator that compares the result achieved (newly created product) with input labour factor when carrying out an economic activity of an economic territory for a specified period. This indicator provides estimates of the growth rate of labor productivity. At national level, the result of productive activity is measured by Gross Domestic Product (GDP) and value added (VA) generated by all manufacturing sectors in the national economy. All evaluations are made in accordance with accepted practices on national accounts to allow for comparability of labor productivity across sectors. The labor productivity is a key indicator of the achieved level of economic development. |
Classification system | Classification of Economic Activities (NACE.Rev2-2008) |
Sector coverage | Total of economy |
Statistical concepts and definitions | The main components of labor productivity are indicators measuring the result of performed the manufacturing activity (numerator) and indicators of labor input in the production process (the denominator). At the national level, the result of the production activity is measured with Gross Domestic Product (GDP) and Gross Value Added (GVA) created by all the productive sectors of the national economy. GDP is a key indicator in the system of national economic accounts, which represents the final result of the production activity of all resident producer units (ESNS2010, 8.89). The relationship between GDP and GVA is determined by how quantification works finished product. GDP is valued at market prices, including taxes on products and imports net of subsidies on products. GVA measures the result of the production activity at basic prices before taxes, including subsidies on products and services. BDS is an indicator that is applicable to the calculation of labor productivity at the national level and at the level of production activities or regions. The use of this indicator in the national practice is consistent with the specific methodological scope of the sector " Letting of own property " activity of CEA 2008 - in the composition of GVA includes assessing the imputed rent of dwellings rented by their owners , who for Bulgaria is dominant - almost 90 % of the population live in their own homes. Added value of imputed rent of owner-occupiers is classified entirely as operating surplus in the composition of the account "Generation of income" and is not directly connected with employment. For this reason, value added as a result of contingent rental housing is excluded in calculating the productivity of labor in the services sector and the economy as a whole. Labor factor in production in the composition of the index of labor productivity is measured by the number of persons employed in resident production units of the national economy and spent their time - hours worked. Measurement of the number of employees and hours worked by them is subject to the definitions and concepts (ESA2010 11.11, 12.11) , as these concepts and definitions apply in assessing the performance of the result of their economic activity . |
Statistical unit | Institutional unit under ESA 2010 - enterprise, household, public institution. |
Statistical population | Economic territory of the country |
Reference area | Bulgaria |
Time coverage | from 2000 (Infostat) |
Base period | 2015 |
Statistical processing | |
Source data |
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Frequency of data collection | Yearly |
Data collection | Comprehensive |
Data validation | Implementation of validated procedures for assessing data quality. |
Data compilation | Implementation of validated procedures for assessing the quality of data and the development of estimation of the completeness of the data. |
Adjustment | Not applicable. |
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 | In practice, the system of national accounts, there are two main types of revisions beyond the scope and content of the methods of seasonal adjustment. The first type of audits is ongoing, regular characterized by the presence of new or updated statistical information based on statistical surveys or administrative sources. The second type of revisions is related to a change in the methodology and calculation procedures for specific statistical indicators |
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 – preliminary, final data; and main - based on implementation of new methodology or GNI reservations. |
Data revision - average size | |
Timeliness and punctuality | |
Timeliness | · The annual estimates - the sum of estimates of quarterly data - T +65 days after the reporting period; · Updated annual data - T +9 months after the reporting period; · Final data - balance sheets "Resource-Use" - T +3 years. |
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 is 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 - Employed persons, hours worked and labour productivity - Annual data - Labour productivity - Total of economy: https://www.nsi.bg/en/node/5525 |
Data tables - consultations | |
Micro-data access | Not applicable. |
Other | |
Metadata - consultations | |
Documentation on methodology | European System of National 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 due account for technical developments and the requirements of users in a democratic society. |
Confidentiality – data treatment | |
Comment |
Statistical domain
Download in SDMX 2.1 file format: Labour productivity - Total of economy - Labour productivity
Metadata Structure Definition in SDMX 2.1: ESQRS_MSD+BNSI+2.0+SDMX.2.1.xml
Download in SDMX 2.0 file format: Labour productivity - Total of economy - Labour productivity
Metadata Structure Definition in SDMX 2.0: ESQRS_MSD+BNSI+2.0+SDMX.2.0.xml