Contact | |
---|---|
Contact organisation | National Statistical Institute |
Contact organisation unit | "Statistics on Labour costs, Research and Development, Innovation and Information Society Department" |
Contact name | Todor Davidkov |
Contact person function | Head of department |
Contact mail address | 2, P. Volov Str.; 1038 Sofia, Bulgaria |
Contact email address | |
Contact phone number | +359 2 9857 568 |
Contact fax number | |
Metadata update | |
Metadata last certified | 19 February 2024 |
Metadata last posted | 19 February 2024 |
Metadata last update | 19 February 2024 |
Statistical presentation | |
Data description | The gender pay gap in unadjusted form is given as the difference between average gross hourly earnings of male paid employees and of female paid employees as a percentage of average gross hourly earnings of male paid employees. For the years 2006, 2010, 2014 and 2018 the GPG is calculated on base of the results from the four-yearly Structure of Earnings Survey (SES). For the years in which Structure of Earnings Survey is not conducted the GPG is calculated using SES data as benchmark and the variation rate of the average annual gross earnings by gender from the annual survey on Number of employees, wages and salaries and other labour costs. The data are available broken down by economic activities. |
Classification system | Classification of Economic Activities (CEA-2008, for international use NACE.BG 2008) |
Sector coverage | The (unadjusted) Gender Pay Gap (GPG) is provided for employees working in enterprises with 10+ employees and belonging to all economic activities except "Agriculture, hunting, forestry and fishing" according to NACE.BG 2008. |
Statistical concepts and definitions | The indicator has been defined as unadjusted (i.e. not adjusted according to individual characteristics of employees that may explain part of the earnings difference - age, length of service, full-time/part-time employment, education, occupation etc.) because it should give an overall picture of gender inequalities in terms of pay. The GPG figures for 2006, 2010, 2014 and 2018 are directly computed from the 4-yearly Structure of Earnings Survey, for the intermediate years the indicator is estimated using the variation rate of the average annual gross earnings by gender. |
Statistical unit | · Employees; · Local units, belonging to enterprises with 10 or more employees. |
Statistical population | · Employees - all employees, there are no restrictions for age and hours worked; · Size of enterprises: 10 employees or more; · Economic activity - all economic activities except "Agriculture, hunting, forestry and fishing" according to NACE.BG 2008. |
Reference area | The whole country is covered |
Time coverage | 2007- 2022 |
Base period | Not applicable. |
Unit of measure | |
Per cent (%) | |
Reference period | |
Calendar year | |
Institutional mandate | |
Legal acts and other agreements | The data are based on gentlemen's agreement. |
Data sharing | Not applicable. |
Confidentiality | |
Confidentiality - policy | · Law on Statistics; · Regulation (EC) N0 223/2009 of the European Parliament and of the Council of 11 March 2009 on European statistics (provision 24 and Article 20 (4)) (OJ L 87, p. 164), stipulates the necessity 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 | Individual data are not disseminated following the rules set in Article 25 from the Law on Statistics. The dissemination of individual data is done only under Article 26 from the same law. |
Release policy | |
Release calendar | Not part from the National Release Calendar. |
Release calendar access | Not applicable. |
User access | The data are published on the NSI website, section Labour Market 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 | |
Annual | |
Accessibility and clarity | |
News release | Not applicable. |
Publications | Not applicable. |
On-line database | The indicators are available to all users of the NSI website under the heading Labour Market -Annual statistics on employment and labour cost - Structural indicators - Gender pay gap: https://www.nsi.bg/en/node/6457 |
Micro-data access | Not applicable. |
Other | Not applicable. |
Documentation on methodology | Methodological notes are published as well on the Statistical Office of the European Communities (EUROSTAT) web page: http://epp.eurostat.ec.europa.eu/portal/page/portal/labour_market/earnings/database |
Quality documentation | |
Quality management | |
Quality assurance | According to Article 2, point 3 from the Law on Statistics the statistical information shall be produced in compliance with the following criteria for quality: adequacy, accuracy, timeliness, punctuality, accessibility and clarity, comparability and logical consistency. According to Article 10 from Council Regulation (EC) No 530/1999 of 9 March 1999 concerning structural statistics on earnings and on labour costs the national authorities shall ensure that the results reflect the true situation of the total population of units with a sufficient degree of representativity. |
Quality assessment | |
Relevance | |
User needs | The main users are Eurostat, Ministry of Labour and Social Policy, trade unions and other non-government organizations. |
User satisfaction | No information available |
Completeness | GPG is calculated for all the requested breakdowns. |
Accuracy and reliability | |
Overall accuracy | See the methodological notes for: · Structure of Earnings Survey; · Annual statistics on Employment and Labour Costs. |
Sampling error | See the methodological notes for Structure of Earnings Survey. |
Non-sampling error | See the methodological notes for: · Structure of Earnings Survey; · Annual statistics on Employment and Labour Costs. |
Timeliness and punctuality | |
Timeliness | 12 months after the reference year. |
Punctuality | The punctuality of data publication depends from the availability of the final results for the average gross annual wages and salaries by gender. |
Coherence and comparability | |
Comparability - geographical | The definitions are following the one from the Structure of Earnings Survey. |
Comparability - over time | The comparability over time is disturbed by the changes of the Classification of Economic Activities. |
Coherence - cross domain | All indicators are internal coherent. |
Coherence - internal | Data on average wages and salaries broken down by gender are published as well. The main difference between GPG and average wages are due to the following reasons: · Average wages and salaries are per employee, while GPG is per hour; · Average wegaes and salaries cover enterprises from all economic activities and size classes, while GPG is restricted to local units belonging to enterprises with 10 or more employees from all economic activities except "Agriculture, hunting, forestry and fishing" according to NACE.BG 2008. |
Cost and burden | |
No information is available for the respondents' burden. | |
Data revision | |
Data revision - policy | Annual estimated data are revised every four years when the data from the Structure of Earnings Survey become available. |
Data revision - practice | The variation of hourly earnings of male and female employees between consecutive Structure of Earnings Surveys is taken into account. |
Statistical processing | |
Source data | · Structure of Earnings Survey (Four-yearly); · Annual survey on Number of employees, wages and salaries and other labour costs. |
Frequency of data collection | Annual, Four-yearly |
Data collection | Structure of Earnings Survey is a sample survey. The Annual survey on Number of employees, wages and salaries and other labour costs is census type. |
Data validation | Logical and arithmetical checks are applied. |
Data compilation | The GPG data are based on the results from other statistical surveys. |
Adjustment | Not applicable. |
Comment |
Statistical domain
Download in SDMX 2.1 file format: Annual statistics on employment and labour costs/Structural indicators - Gender Pay Gap
Metadata Structure Definition in SDMX 2.1: ESMS_MSD+BNSI+2.0+SDMX.2.1.xml
Download in SDMX 2.0 file format: Annual statistics on employment and labour costs/Structural indicators - Gender Pay Gap
Metadata Structure Definition in SDMX 2.0: ESMS_MSD+BNSI+2.0+SDMX.2.0.xml