Page tree
Skip to end of metadata
Go to start of metadata

Indicator Name, Target and Goal

Indicator 8.5.1: Average hourly earnings of employees, by sex, age, occupation and persons with disabilities

Target 8.5: By 2030, achieve full and productive employment and decent work for all women and men, including for young people and persons with disabilities, and equal pay for work of equal value

Goal 8: Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all

Definition and Rationale

Definition:

This indicator is defined as the mean hourly earnings of employees from paid employment, disaggregated by sex, occupation, age and disability status. 

Concepts:

Earnings refer to the gross remuneration in cash or in kind paid to employed persons, as a rule at regular intervals, for time worked or work done, along with remuneration for time not worked (i.e. annual vacation, paid time off or holidays). Earnings exclude employers’ contributions towards social security and pension schemes or any benefits received by employees under these schemes. 

Employees are those persons in employment holding the type of job defined as paid employment jobs (jobs where the incumbents hold explicit or implicit employment contracts which give them a basic remuneration not directly dependent upon the revenue of the unit for which they work). Employment comprises all persons of working age who during a short reference period (one week), were engaged in any activity to produce goods or provide services for pay or profit. The working-age population is usually defined as persons aged 15 and above. 

Rationale and Interpretation:

Earnings are a key aspect of quality of productive employment and living conditions. Information on hourly earnings disaggregated by various classifications (sex, age, occupation, disability status) provides some indication of the extent to which pay equality is respected or achieved.

Data Sources and Collection Method

There are several sources for earnings data. Establishment surveys conducted by the national statistical offices are generally the most reliable due to the high level of accuracy of earnings figures derived from the payroll. This is why establishment surveys are the preferred source of earnings statistics. However, the scope of data is limited to the coverage of the survey, which often excludes smaller establishments, agricultural establishments and the informal sector. 

Household labour force surveys, or other surveys with an employment module can provide earnings statistics covering all economic activities, establishment types and sizes. But the quality of data is very dependent on the accuracy of respondents’ answers. 

Earnings data can also be derived from a variety of administrative records. The quality of the data would depend on the robustness of methods underlying the registration processes, and the record’s coverage and scope.

Method of Computation and Other Methodological Considerations

Computation Method:

Average hourly earnings of employees (AHEx,i)  can be calculated using the following formula:

Where,

x is the relevant employee group such as, total,  men, women, in different age grounds or person with disabilities etc.; and

i is the  relevant industry.

Or 

This indicator’s disaggregation is used to calculate the gender pay gap (GPG) as follows: 

Where AHEmen and AHEwomen are the average hourly earnings of men and women respectively in a given country. 

Comments and limitations:

Statistics on earnings can come from a variety of sources, including establishment surveys, household surveys and administrative records, each type of source having a specific coverage, scope and characteristics. This makes international comparability difficult. 

The use of non-standard definitions and the heterogeneity of operational criteria applied further hamper cross-country comparisons. 

Proxy, alternative and additional indicators: N/A

Data Disaggregation

This indicator is required to be disaggregated by sex, occupation, age and disability status.

It may be useful to also disaggregate it by region, economic activity and level of educational attainment.

References

Official SDG Metadata URL
https://unstats.un.org/sdgs/metadata/files/Metadata-08-05-01.pdf  

Internationally agreed methodology and guideline URL
http://www.ilo.org/wcmsp5/groups/public/---dgreports/---stat/documents/presentation/wcms_315657.pdf  

Other references
ILO (1998). Resolution concerning the measurement of employment-related income. 16th International Conference of Labour Statisticians. Available at: http://www.ilo.org/global/statistics-and-databases/standards-and-guidelines/resolutions-adopted-by-international-conferences-of-labour-statisticians/WCMS_087490/lang--en/index.htm

ILO (1993). Resolution concerning the International Classification of Status of Employment (ICSE). 15th International Conference of Labour Statisticians. Available: http://www.ilo.org/global/statistics-and-databases/standards-and-guidelines/resolutions-adopted-by-international-conferences-of-labour-statisticians/WCMS_087562/lang--en/index.htm

ILO (1973). Resolution concerning an integrated system of wages statistics. 12th International Conference of Labour Statisticians. Available at: http://www.ilo.org/global/statistics-and-databases/standards-and-guidelines/resolutions-adopted-by-international-conferences-of-labour-statisticians/WCMS_087496/lang--en/index.htm

ILO (1979). An integrated system of Wages Statistics: A manual on methods. Geneva. Available at: http://www.ilo.org/wcmsp5/groups/public/---dgreports/---stat/documents/presentation/wcms_315657.pdf

ILO. ILOSTAT’s indicator description on earnings and labour cost. Available at: http://www.ilo.org/ilostat-files/Documents/description_EAR_EN.pdf

ILO. International Standard Classification of Occupations (ISCO-08). Internet site: http://www.ilo.org/public/english/bureau/stat/isco/isco08/ 

Country examples
N/A

International Organization(s) for Global Monitoring

This document was prepared based on inputs from International Labour Organization (ILO).

For focal point information for this indicator, please visit https://unstats.un.org/sdgs/dataContacts/

  • No labels