Seventy percent of the global workforce will be shared equally by Generation X and Generation Y by 2020, with forecasts suggesting that Generation Z will make up nearly a ******* of the workforce as they start to enter adulthood. Employment rates in industrialized countries In member countries of the Organisation for Economic Co-operation and Development (OECD), employment rates range between ** and ** percent of the working age population. Northern European countries such as Iceland, Sweden, and Denmark have some of the highest employment rates, along with New Zealand and Japan. Italy, Greece, and Turkey had the lowest employment rates in OECD countries. The staffing industry Recruitment firms are now well-established in many industrialized countries. The global staffing industry was estimated to have revenues of *** billion U.S. dollars in 2017, with firms from the United States generating a ** percent share of that figure. Firms from Japan also held a significant market share and this highlights the growth in the staffing industry across Asia, with the Chinese market expecting revenues to increase by around ** percent in 2019.

In 2022, among the working age population of the United Kingdom, there were approximately **** million people employed from the Baby Boomer Generation, followed by **** million Gen X employed, **** million Millennials, and *** million Gen Z.

Summarizes the workforce by age distribution using both years and generation name.

According to a survey conducted in 2023, 44 percent of Gen Z in the United States agreed that they put their own needs above those of their employers, while 40 percent believed that their self worth was directly linked to their performance at work.

In 2023, Millennials and Generation Z had the ******* representation across the the less tenured levels of the professional workforce of Deloitte, making up almost ** percent of senior consultants and below. Generation X and baby boomers represented the majority of ********** positions, with over ** percent of these generational groups working in management and above.

This dataset outlines the Workforce Statistics by generations data.

Introduction

Gen X Statistics: Considered the generation in-between generations, it stands poised in 2024, with people from Generation X being in their prime, aged between 44 and 59, while managing peak career years, family duties, and retirement planning. Typically referred to as the Sandwich Generation, Gen Xers are both caring for ageing parents and dependent kids. This generation, often ignored in consideration with Baby Boomers and Millennials, holds an ultra-important position in the workforce, economy, and technology adoption. This article examines the latest Gen X statistics to piece together in 2024.

Abstract Purpose: The objective of this paper is to analyze the existence of generational differences in work in a series of variables that affect job satisfaction, distinguishing workers born before the 70s, known as Boomers, and those born after that date, Generation X. Design/methodology/approach: Methodologically an earlier analysis is extended with the application of a Univariate General Linear Model that allows measuring the differences of a collective with respect to the base group. The work expands the explanatory capacity of a previous work in which linear regressions was applied to each of the two groups, Boomers and Generation X. Findings: The results highlight these differences in which a group of workers appears with a more traditional profile that responds to the profile of the Fordist worker and a generation of younger workers less committed to the company, less identified with the work. For these workers, work is just a way of life, from which they do not obtain any immaterial value. Originality/value: This paper concludes by considering the implications the findings have for work management both in theory and in practice. According to these differentiated profiles, management and incentive policies in the company should take into account these differences when recruiting, retaining and managing human resources.

In the past, a generation covered a larger span of time, having more members. However, today, thanks to the developments in technology and many other factors generations change frequently having less members and covering a few years. What matters now is the workforce itself and how these different generations work together. The current workforce has 3 generations working together while waiting for the fourth one. Soon, it is inevitable that 5 or 6 generations will be working at the same workplace. As a result, it is crucial to understand the type of leadership a generation prefers in business and academic life. The aim of this study was to find out how leadership style choice differs among four generations (Baby Boomers, Generations X, Generation Y, and Generation Z) of academics and prospective academics in Turkey. In the study, 265 participants from different generation rated the leadership attributes that contribute or impede effective leadership. The Global Leadership and Organizational Behavior Effectiveness (GLOBE) Project research survey by House et al. (2004) was used to find out the leadership style choice of different generations. The statistical relationships were determined between the generation variable and the 16 primary leadership subscales through MANOVAs and ANOVAs. The results of the tests showed that significant differences exist among the four different generations in 3 of the 16 leadership subscales. These subscales are Charismatic 3: Self-sacrifice, Conflict-inducer, and Face saver.

This dataset contains information about the number and percent of Social Security Administration employees according to categories based on year of birth called generations.

As of February 2021, reports of burnout increased during the COVID-19 pandemic among all surveyed employees regardless of generation. While Millennials previously reported much higher burnout rates than other generations, in February 2021, Gen Z and Gen X reported similar rates. This statistic displays the percentage of U.S. employees feeling burnout pre-COVID Jan. 2020 vs Feb. 2021, by generation.

ABSTRACT: Studies related to subjective well-being and job satisfaction indicate a relationship between the two constructs. However, the magnitude of this relationship can be influenced by several factors, including differences among generations. The aim of this study was to identify the differences and similarities in dimensions of job satisfaction that influence subjective well-being among generations. Data included 1,042 Brazilian and Portuguese subjects: 376 of generation Y, 400 of generation X, and 266 baby boomers. Analysis showed differences between the dimensions of job satisfaction that predicted subjective well-being and indicate differences in the magnitude of the relationship between the variables. Results suggest generational differences in the relationship between job satisfaction and subjective well-being.

United States Employment: NF: UT: Electric Power Generation data was reported at 154.500 Person th in May 2018. This records a decrease from the previous number of 155.700 Person th for Apr 2018. United States Employment: NF: UT: Electric Power Generation data is updated monthly, averaging 249.500 Person th from Jan 1990 (Median) to May 2018, with 341 observations. The data reached an all-time high of 357.800 Person th in Jul 1990 and a record low of 154.400 Person th in Feb 2018. United States Employment: NF: UT: Electric Power Generation data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G024: Current Employment Statistics Survey: Employment: Non Farm.

Graph and download economic data for Income Before Taxes: Unemployment and Workers' Compensation, Veterans' Benefits, and Regular Contributions by Generation: Birth Year of 1945 or Earlier (CXUOTHREGINLB1609M) from 2019 to 2023 about veterans, birth, contributions, compensation, benefits, workers, tax, income, unemployment, and USA.

United States Employment: NF: UT: Power Generation & Supply data was reported at 385.900 Person th in Sep 2018. This records a decrease from the previous number of 387.500 Person th for Aug 2018. United States Employment: NF: UT: Power Generation & Supply data is updated monthly, averaging 410.200 Person th from Jan 1990 (Median) to Sep 2018, with 345 observations. The data reached an all-time high of 557.100 Person th in Jul 1990 and a record low of 385.900 Person th in Sep 2018. United States Employment: NF: UT: Power Generation & Supply data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G024: Current Employment Statistics Survey: Employment: Non Farm.

Graph and download economic data for Employment for Utilities: Electric Power Generation, Transmission and Distribution (NAICS 2211) in the United States (IPUCN2211W200000000) from 1987 to 2024 about power transmission, distributive, utilities, electricity, NAICS, employment, and USA.

United States Employment: NF: PW: UT: Electric Power Generation data was reported at 120.100 Person th in May 2018. This records a decrease from the previous number of 121.600 Person th for Apr 2018. United States Employment: NF: PW: UT: Electric Power Generation data is updated monthly, averaging 189.700 Person th from Jan 1990 (Median) to May 2018, with 341 observations. The data reached an all-time high of 273.700 Person th in Jul 1990 and a record low of 120.100 Person th in May 2018. United States Employment: NF: PW: UT: Electric Power Generation data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G030: Current Employment Statistics Survey: Employment: Production Worker: Non Farm.

This statistic shows the number of people in the labor force in the United States in 2017, by generation. In 2017, the greatest share of the labor force was made up by the Millennial generation, with around ** million workers.

Graph and download economic data for All Employees: Utilities: Electric Power Generation, Transmission and Distribution in Pennsylvania (SMU42000004322110001A) from 1990 to 2024 about infrastructure, utilities, electricity, PA, employment, and USA.

United States Employment: NF: PW: UT: Fossil Fuel Electric Power Generation data was reported at 73.100 Person th in May 2018. This records a decrease from the previous number of 73.200 Person th for Apr 2018. United States Employment: NF: PW: UT: Fossil Fuel Electric Power Generation data is updated monthly, averaging 104.500 Person th from Jan 1990 (Median) to May 2018, with 341 observations. The data reached an all-time high of 146.000 Person th in Jul 1990 and a record low of 73.100 Person th in May 2018. United States Employment: NF: PW: UT: Fossil Fuel Electric Power Generation data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G030: Current Employment Statistics Survey: Employment: Production Worker: Non Farm.