Gender pay gap

Time series: Labour_2.3.5_EN.xls

Economic activity 2015 2016 2017 2018 2019
Total 14.5 13.8 13.8 13.6 13.7
Mining and quarrying 17.7 15.0 14.5 12.2 13.9
Manufacturing 25.6 23.6 22.9 22.4 22.7
Electricity,gas,steam and air conditioning supply 8.1 11.2 12.9 11.4 8.2
Water supply,sewerage,waste management and remediation activities 17.2 14.2 9.9 7.8 5.6
Construction -10.5 -12.6 -13.3 -14.5 -11.5
Wholesale and retail trade;repair of motor vehicles and motorcycles 15.5 13.9 12.9 12.6 12.8
Transportation and storage 6.6 8.3 10.3 10.1 11.0
Accommodation and food service activities 10.7 9.2 8.5 6.8 7.8
Information and communication 19.4 19.5 21.7 21.7 22.4
Financial and insurance activities 22.7 22.3 24.2 25.9 29.5
Real estate activities 4.0 3.4 -2.4 -11.1 -7.5
Professional,scientific and technical activities 11.1 4.8 8.6 12.1 16.5
Administrative and support service activities -28.5 -27.9 -29.2 -33.2 -29.8
Public administration and defence;compulsory social security 7.0 6.3 8.8 8.3 8.4
Education 17.1 14.6 13.1 12.0 9.3
Human health and social work activities 32.4 31.6 30.1 29.9 29.5
Arts,entertainment and recreation 12.6 17.8 20.2 23.5 24.7
Other service activities 4.1 -3.2 -2.9 -7.3 -2.3
Annual statistics on employment and labour costs/Structural indicators - Gender Pay Gap
Contact organisation

National Statistical Institute

Contact organisation unit

"Labour Statistics" Department

Contact name

Todor Davidkov

Contact person function

Head of department

Contact mail address

2, P. Volov Str.; 1038 Sofia, Bulgaria

Contact email address

[email protected]

Contact phone number

+359 2 9857 568

Contact fax number
Metadata update
Metadata last certified08 August 2014
Metadata last posted08 August 2014
Metadata last update08 August 2014
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 and 2010 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 (2007, 2008, 2009 and 2011) 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 and 2010 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- 2012

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 - 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


Accessibility and clarity
News release

Not applicable.


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:

Micro-data access

Not applicable.


Not applicable.

Documentation on methodology

Methodological notes are published as well on the Statistical Office of the European Communities (EUROSTAT) web page:

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
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


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

12 months after the reference year.


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.


Not applicable.

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