This table provides metadata for the actual indicator available from Lao PDR statistics closest to the corresponding global SDG indicator. Please note that even when the global SDG indicator is fully available from Lao statistics, this table should be consulted for information on national methodology and other Lao-specific metadata information.
| Goal |
SDG 8: Decent Work and Economic Growth: Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all |
|---|---|
| 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. |
| Indicator |
8.5.1 Average hourly earnings of female/ male employees, by sector, age group and persons with disabilities |
| Series |
Average hourly earnings |
| Metadata update |
23 June 2021 |
| Related indicators |
Any economic statistics that is used for other SDG indicator |
| Organisation |
Lao Statistics Bureau Ministry of Labor and Social Welfare |
| Contact person(s) |
Mr.Vilaysook SISOULATH Mr. Suthanou BOULOM |
| Contact organisation unit |
Department of Social Statistics Department of Planning and International Cooperation |
| Contact person function |
Deputy Director General |
| Contact phone |
+856 20 55 795 043, +856 21 214 740 +856 20 5889 1999, +856 21 2130 03/2227 77 |
| Contact mail |
Ministry of Planning and Investment Lao Statistics Bureau, Dongnachokphuea Village, Sikhottabong District, Vientiane Capital Province. Tel: (+856 21) 214740, Fax: (+856 21) 242022. |
| Contact email |
suthanu1974@gmail.com |
| Definition and concepts |
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. |
| Unit of measure |
number |
| Data sources |
Use 2 type of data source
|
| Data collection method |
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. |
| Data collection calendar |
2017 |
| Data release calendar |
2022 |
| Data providers |
Lao Statistics Bureau |
| Data compilers |
Lao Statistics Bureau |
| Institutional mandate |
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. |
| Rationale |
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. |
| Comment and limitations |
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. |
| Method of computation |
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 |
| Validation |
Standard data review and validation protocols were implemented from data collection, processing, calculation to finalization and publication of the results of the GDP and population estimates. |
| Quality management |
Managing the quality of the indicator is guided by the Lao PDR Statistics Law of 2017 and in accordance with the recommendations of the UN Fundamental Principles of Official Statistics. |
| Quality assurance |
Data are validated in accordance with the international statistical standards |
| Quality assessment |
The estimates derived for each year are compared to previous years to ensure that estimates are prepared consistently from year to year. Additionally, the growth rate from year to year is analyzed to identify anomalies in the data. In general, the quality of the results is considered good given the quality management and standards implemented in the basic data source used for obtaining the value for this SDG indicator. |
| Data availability and disaggregation |
The Labor Force Survey have been conducted at five-year intervals since 2010 Disaggregated by sectors and sex |
| Comparability/deviation from international standards |
Please see item 4.b |
| References and Documentation |
file:///C:/Users/BK/AppData/Local/Temp/5.Lao%20PDR%20Labor%20force%20Survey%202017.pdf4 The UNSD SDG Indicators, Metadata repository https://unstats.un.org/sdgs/metadata/ http://www.molsw.gov.la/ |