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

SDG 8: Decent Work and Economic Growth: Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all

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.

8.5.1 Average hourly earnings of female/ male employees, by sector, age group and persons with disabilities

SL_EMP_EARN

1 May 2021

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Lao Statistics Bureau and

Ministry of Labor and Social Welfare

Mr.Vilaysook SISOULATH

Mr. Suthanou BOULOM

Department of Social Statistics

Department of Planning and International Cooperation

Deputy Director General

+856 20 55 795 043, +856 21 214 740

+856 20 5889 1999, +856 21 2130 03/2227 77

Pangkham Road, Postcode 347, Vientiane Capital

vilaysooks@gmail.com

lstats@lsb.gov.la

https://www.lsb.gov.la

suthanu1974@gmail.com

http://www.molsw.gov.la/

http://www.nra.gov.la

Definition:

This indicator provides information on the mean hourly earnings from paid employment of employees by sex, occupation, age and disability status.

Concepts:

Earnings refer to the gross remuneration in cash or in kind paid to employees, as a rule at regular intervals, for time worked or work done together with remuneration for time not worked, such as annual vacation, other type of paid leave or holidays. Earnings exclude employers’ contributions in respect of their employees paid to social security and pension schemes and also the benefits received by employees under these schemes. Earnings also exclude severance and termination pay.

For international comparability purposes, statistics of earnings used relate to employees’ gross remuneration, i.e. the total before any deductions are made by the employer in respect of taxes, contributions of employees to social security and pension schemes, life insurance premiums, union dues and other obligations of employees. As stated in the indicator title, data on earnings should be presented on the basis of the arithmetic average of the hourly earnings of all employees.

Use 2 type of data source

1. The Labor Force Survey 2017 (every 5 years)
2. and administrative data from Ministry of Labour and Social Welfare annually

The Labor Force Survey that was implemented in Lao People’s Democratic Republic in 2017 (LFS 2017) adopts the new concept of work, employment and labor underutilization that was adopted by the19th International Conference of Labor Statisticians (ICLS) in 2013.

Sampling

Sampling Procedure

The 2015 Census of Population and Housing was applied for sampling frame for LFS 2017. Base on the Census, Lao PDR has a total population of 6,479,982 distributed into 1,197,926 households . The province of Savannakhet has the most population but Vientiane Capital has the most households. Population in Xaysomboun is lowest at 85,168, the province also has the lowest number of households at 14,316.

Two stage sampling is proposed, with selection of villages in

• the first stage and selection of households in the second stage. In the provincial domains, villages were selected using PPS (no need for stratification since there are fewer villages within each province).
• Second stage sampling comprise of systematic selection of 20 households from the updated list of households from the 2015 Census. Provincial Domains target 10,800 sample households at 3% and 6% margin of errors.

Data Collection: Start: 2017, End: 2017

Data collection Mode: Face-to-Face

2022

2023

Lao Statistics Bureau

Lao Statistics Bureau

Base on the statistical law and the National Strategy for sustainable Development of Statistical System 2016-2020 and vision for 2030, Ministry of Planning and Investment (MPI) throughout the Lao Statistics Bureau in cooperate with Ministry of Labor and Welfare has conducted the Lao Labor Force Survey in 2017.

Earnings are a key aspect of quality of 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.

The variety of possible sources for statistics on earnings greatly hinders international comparability, as each type of source has its own coverage, scope and characteristics. It would not be fully accurate to compare, for example, hourly earnings from a labour force survey for one country with hourly earnings from an establishment survey for another. The use of non-standard definitions and the heterogeneity of operational criteria applied further hamper cross-country comparisons.

Statistics on average hourly earnings by sex can be used to calculate the gender pay gap, as follows:

Gender pay gap= (〖Average hourly earnings〗_Men- 〖Average hourly earnings〗_Women)/〖Average hourly earnings〗_Men x 100

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The Labor Force Survey have been conducted at five-year intervals since 2010

Disaggregated by sectors and sex

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1. file:///C:/Users/BK/AppData/Local/Temp/5.Lao%20PDR%20Labor%20force%20Survey%202017.pdf
2. https://unstats.un.org/sdgs/metadata/