Labor force participation rate, 15+, male (national estimate)
| Quick info | |
|---|---|
| Data type | Numeric |
| Scale | Metric |
| Value labels | Not applicable |
| Technical name | socstr_lfp_pop_15m |
| Category | Social structure |
| Label | Labor force participation rate, 15+, male (national estimate) |
| Related indicators |
|
This indicator measures for males aged 15 and older, the percentage of the population that is economically active, meaning that all individuals who provide work for the production of goods and services within a certain time period are included. Only the male population of a nation is included in this measure. National estimates serve as the basis for values. The working-age population is typically defined as those who are 15 years of age or older.
Coding rules
- By dividing the number of economically active male population aged 15+ by the total male population aged 15+, the variable is computed.
Teorell et al. (2024: 1541) defines the variable as "Labor force participation rate (% of male ages 15+) (national est.). Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply
labor for the production of goods and services during a specified period.".
The general definition of the working-age population is people who are at least 15 years old.
- The pool of workers in an economy that can be used to produce goods and services is known as the labor force. First-time job seekers are included, as are those who are currently employed and those who are unemployed but looking for work. However, not all workers are listed. Some nations do not include members of the armed forces, while unpaid laborers, family workers, and students are frequently left out. Seasonal workers come and go throughout the year, causing fluctuations in the size of the labor force. The fact that estimates of women's employment and labor force participation are typically lower than those of men and are not comparable across borders reflects the fact that social, legal, cultural, and demographic trends and norms influence whether or not women's actions are considered economic. Women frequently work for free on farms or in other family businesses in low-income nations, and some work in or close to their homes, juggling work and family obligations throughout the day. Women are increasingly pursuing higher education in many high-income economies, which has resulted in longer-term, better-paying occupations as opposed to lower-skilled, shorter-term positions. Nonetheless, in many professions and nations worldwide, women still do not have equal access to well-paying jobs. Monitoring gender differences in employment and unemployment trends requires gender-specific labor force information.The ILO compiles labor force statistics from censuses, establishment surveys, and labor force surveys. Some nations make use of a mix of these sources. The most complete source of globally comparable labor force data is labor force surveys. All non-institutionalized civilians, all economic sectors and branches, and all worker types—including those with numerous jobs—can be covered by them. On the other hand, population census labor force data frequently rely on a small set of questions about people's economic status, leaving little room for further investigation.
Depending on the breadth and coverage of the census, the resulting data frequently deviate from labor force survey data and vary significantly by nation. Only the employed population is included in establishment censuses and surveys; workers in small businesses, the unorganized sector, and those without jobs are not. Another significant cause of discrepancies is the reference period used in a census or survey. In many nations, statistics are recorded without reference to any time period, while in others, they correspond to the condition of the population on the day of the census or survey or over a particular time frame prior to the inquiry date. The estimated labor force may be significantly lower than the number of people actually working in nations where the home is the fundamental unit of production and all members contribute to output, although occasionally or at low intensity. Comparability is impacted by disparate definitions of employment age as well. Children under the age of 15 work full- or part-time and are included in the estimates for some nations, although in most countries, the working age is 15 and up. In a similar vein, certain nations have a maximum age. Calculations may therefore consistently overestimate or underestimate actual rates.
- For more information, see “DataBank - World Development Indicators at World Bank” (https://databank.worldbank.org/source/world-development-indicators) and “Labour Force Statistics database (LFS) at ILOSTAT” (https://ilostat.ilo.org/data/) (Accessed August 14, 2024).
Bibliographic info
Citation:
- Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde, and Paula Nilsson. 2024. The Quality of Government Standard [Dataset]. https://www.gu.se/en/quality-government/qog-data/data-downloads/standard-dataset. https://doi.org/10.18157/qogstdjan24.
- World Bank. 2023. World Development Indicators. Washington, DC: The World Bank. https://databank.worldbank.org/source/world-development-indicators.
Related publications:
- World Bank. 2024. Poverty and Inequality Platform Methodology Handbook. Washington, DC: The World Bank. https://datanalytics.worldbank.org/PIP-Methodology/.
- Schäfer, Andrea, and Karin Gottschall. 2015. "From Wage Regulation to Wage Gap: How Wage-Setting Institutions and Structures Shape the Gender Wage Gap Across Three Industries in 24 European Countries and in Germany." Cambridge Journal of Economics 39 (2): 467–496. http://cje.oxfordjournals.org/content/early/2015/02/20/cje.bev005.
Misc
Project manager(s): Responsible for data editing, description (WeSIS) and entry: Andrea Schäfer (2021-2025, Version 0.002), Jean-Yves Gerlitz (2018-2020; Version 0.001), Principal Investigator: Irene Dingeldey, Ulrich Mückenberger, Student assistants: Karolin Meyer (2018-2020), Nils Düpont, Carmen Cordes, Marius Bode (INF)
Data release:
- Version 0.001: Initial release with data The Quality of Government Standard Dataset, version January 2019
- Version 0.002: Updated with data from The Quality of Government Standard Dataset, version January 2024
Revisions: No revisions yet
Sources
- Teorell, Jan, Stefan Dahlberg, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, and Richard Svensson. 2019. The Quality of Government Standard [Dataset]. http://www.qog.pol.gu.se. https://doi.org/10.18157/qogstdjan19.
- Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde, and Paula Nilsson. 2024. The Quality of Government Standard [Dataset]. https://www.gu.se/en/quality-government/qog-data/data-downloads/standard-dataset. https://doi.org/10.18157/qogstdjan24.
- World Bank. 2023. World Development Indicators. Washington, DC: The World Bank. https://databank.worldbank.org/source/world-development-indicators.