Employment to population ratio, 15-24, male (national estimate)
Quick info | |
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Data type | Numeric |
Scale | Metric |
Value labels | Not applicable |
Technical name | socstr_emp_pop_1524m |
Category | Social structure |
Label | Employment to population ratio, 15-24, male (national estimate) |
Related indicators |
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"Employment to population ratio, 15-24, male (national estimate)" measures the percentage of a nation's male employed population aged 15-24 in relation to the total number of males aged 15-24. 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 employed males aged 15-24 by the total number of males aged 15-24, the variable is computed. National estimation of the employment to population ratio (%) for males aged 15 and older. The employment to population ratio is the proportion of the people in a country that is employed. The general definition of the working-age population is people who are at least 15 years old.
Teorell et al. (2024:1469) defines the variable as "Employment to population ratio, ages 15-24, male (%) (National estimation). Employment to population ratio is the proportion of a country’s population that is employed. Ages 15-24 are generally considered the youth population.".
The percentage of a nation's population that is employed is known as the employment to population ratio. People of working age who, during a brief reference period, engaged in any activity to produce goods or provide services for pay or profit are considered to be employed. This includes those who worked at a job for at least an hour during the reference period, as well as those who were not at work because of working-time arrangements or temporary absences from a job. The working-age population is typically defined as those who are 15 years of age or older. The employment-to-population ratio shows how well an economy fills labor shortages. A high percentage indicates that a sizable section of the populace is employed. However, a lower employment to population ratio that results from higher levels of education might be viewed favorably, particularly for young people. Labor force and household surveys provide the employment by status data, which are then augmented by official estimates and censuses for a select few nations. Although the labor force survey is the most thorough source of employment data that is comparable between nations, there are still certain restrictions when it comes to comparing data over time and even within a single nation. Differences in population and employment definitions impact the comparability of employment ratios between nations. The age range utilized to determine labor force activity causes the most disparity. For employment ratios, the population base may also differ. Members of the military forces and people living in psychiatric, criminal, or other forms of institutions are not included in the majority of countries' use of the resident, non-institutionalized population of working age living in private households. However, some nations exclude military personnel from employment statistics but include them in the population base of their employment ratio. 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.Because seasonal workers come and go throughout the year, employment ratios can fluctuate. Because women who do not think of themselves as employed or who are not seen as working are typically undercounted, this indicator also exhibits gender bias. This prejudice reflects cultural, legal, social, and demographic tendencies and norms and has varying implications in different nations. 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 & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24/li>
- World Bank. (2023). World development indicators. The World Bank Washington DC. https://databank.worldbank.org/source/world-development-indicators
- World Bank. (2024). Poverty and Inequality Platform Methodology Handbook. Edition 2024-09. Available at 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. In: Cambridge Journal of Economics, 39 (2), p.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)
Data release:- Version 0.001: Initial release with data The Quality of Government Standard Dataset, version Jan19
- 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, version Jan19. University of Gothenburg: The Quality of Government Institute. http://www.qog.pol.gu.se doi:10.18157/qogstdjan19
- Teorell, Jan and Sundström, Aksel and Holmberg, Sören and Rothstein, Bo and Alvarado Pachon, Natalia and Dalli, Cem Mert and Lopez Valvarde, Rafael and Nilsson, Paula (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, Available at: https://www.gu.se/en/quality-government/qog-data/data-downloads/standard-dataset
- World Bank. (2023). World development indicators. The World Bank Washington DC. https://databank.worldbank.org/source/world-development-indicators