Job Satisfaction: What Is It? Job Satisfaction Statistics: The term job "job contentment," also known as "employee satisfaction," is used in companies to understand the state of workers' unhappiness or happiness in their jobs. Organizations that want to have the best results can use job satisfaction statistics. They strongly correlate with staff output, retention, and overall happiness in the workplace. In addition, employers who wish to succeed with the best talent at their side need to comprehend the entire scope and importance of employee satisfaction stats. In this article, we will discuss the most important job satisfaction statistics. Job Satisfaction Statistics for 2023 (Editor's Choice) 77% of employees believe their coworkers remained very satisfied with overall job satisfaction. 55% of US workers are expected to search for new jobs within the next 12 months. 36% of employees globally claimed that they are in love with their current job. 75% of workers quit their jobs due to managerial conflicts. Remote work is preferred by 32% of respondents across the world. In the United States, 60% of workers are happy with their jobs in 2023. By the end of 2023, around 61% of American employees will leave their current jobs.

This statistic shows the share of employees in the U.S. by the contributors which they consider very important to job satisfaction in 2019. During the survey, ** percent of the respondents named people at work as a factor that is very important to job satisfaction.

A comprehensive dataset of employee and job satisfaction statistics for 2024 and 2025, covering the United States and global comparisons. Data includes breakdowns by age, race, income, job type, and key drivers such as pay satisfaction, burnout, hybrid work, recognition, and sense of purpose.

According to a 2024 survey conducted among employees in the Asia-Pacific region, approximately ** percent of respondents in Indonesia were satisfied with their jobs. In comparison, around four out of 10 surveyed employees in Japan reported being satisfied with their jobs. More employees across most Asia-Pacific countries and territories experienced job satisfaction in 2024 compared to 2023.

This survey details the responses of employees as to whether they are happy in their current job across three world regions. 54% of respondents in the Americas answered yes to this question.

Percentage of persons aged 15 years and over by level of job satisfaction, by gender, for Canada, regions and provinces.

The Global Satisfaction Index is a combination of employees’ satisfaction with their job, their pay, and their organization, plus their willingness to recommend their organization as a good place to work.

This statistic shows the percentage of workers in the United States who are overall satisfied with their job from 2005 to 2016. In 2016, about ** percent of U.S. respondents were satisfied with their jobs overall.

Background Organizational features can affect how staff view their quality of work life. Determining staff perceptions about quality of work life is an important consideration for employers interested in improving employee job satisfaction. The purpose of this study was to identify organization specific predictors of job satisfaction within a health care system that consisted of six independent health care organizations. Methods 5,486 full, part and causal time (non-physician) staff on active payroll within six organizations (2 community hospitals, 1 community hospital/long-term care facility, 1 long-term care facility, 1 tertiary care/community health centre, and 1 visiting nursing agency) located in five communities in Central West Ontario, Canada were asked to complete a 65-item quality of work life survey. The self-administered questionnaires collected staff perceptions of: co-worker and supervisor support; teamwork and communication; job demands and decision authority; organization characteristics; patient/resident care; compensation and benefits; staff training and development; and impressions of the organization. Socio-demographic data were also collected. Results Depending on the organization, between 15 and 30 (of the 40 potential predictor) variables were found to be statistically associated with job satisfaction (univariate analyses). Logistic regression analyses identified the best predictors of job satisfaction and these are presented for each of the six organizations and for all organizations combined. Conclusions The findings indicate that job satisfaction is a multidimensional construct and although there appear to be some commonalities across organizations, some predictors of job satisfaction appear to be organization and context specific.

According to a survey conducted in December 2021, about ** percent of the professionals were satisfied with their current jobs in India. However, about ** percent of the respondents were looking for better job opportunities in the country.

This table contains 14040 series, with data for years 2016 - 2016 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Atlantic provinces; Newfoundland and Labrador; Prince Edward Island; ...);  Age group (10 items: Total, 15 years and over; 15 to 24 years; 25 to 54 years; 25 to 34 years; ...);  Sex (3 items: Both sexes; Male; Female);  Response (9 items: Total, job satisfaction; Very satisfied or satisfied; Very satisfied; Satisfied; ...);  Estimates (4 items: Number of persons; Percentage of persons; Low 95% confidence interval, percent; High 95% confidence interval, percent).

Percentage of persons aged 15 years and over by level of job satisfaction, by gender and other selected sociodemographic characteristics: age group; immigrant status; visible minority group; Indigenous identity; persons with a disability, difficulty or long-term condition; LGBTQ2+ people; highest certificate, diploma or degree; main activity; and population centres and rural areas.

The study aimed to understand the relationships between the use of digital technologies, employee job satisfaction, employee organizational commitment, and employee job performance and develop a model for use by project-driven organizations in South Africa. Data was collected from four project-driven organizations within the public sector in South Africa. The study was quantitative, and hence, data was collected using closed-ended questionnaires. The minimum sample required for the study was 77, and 148 valid responses were received from the four organizations combined. PLS-SEM was used to analyze the quantitative data collected.

The Office of Personnel Management requires government agencies, at a minimum, to query employees on job satisfaction, organizational assessment and organizational culture. VHA maintains response data for all census surveys such as the Voice of VA as well as the VA Entrance and Exit surveys.

This dataset comes from the Biennial City of Tempe Employee Survey questions related to employee engagement. Survey respondents are asked to rate their level of agreement on a scale of 5 to 1, where 5 means "Strongly Agree" and 1 means "Strongly Disagree".This dataset includes responses to the following statements: Overall, I am satisfied with the level of employee engagement in my Department. I have been mentored at work. Overall, how satisfied are you with your current job? Participation in the survey is voluntary and confidential.This page provides data for the Employee Engagement performance measure. The performance measure dashboard is available at 2.13 Employee Engagement.Additional Information Source: Community Attitude Survey Contact:  Wydale Holmes Contact E-Mail:  wydale_holmes@tempe.govData Source Type:  ExcelPreparation Method:  Data received from vendor (Community Survey)Publish Frequency:  AnnualPublish Method:  ManualData Dictionary

Raw data for Nature's 2016 salary and job satisfaction survey

According to a 2022 survey, workers using advanced digital skills such as cloud maintenance, software development or machine learning experience greater job satisfaction and security than those using intermediate or basic skills.

The original data of survey dataset on occupational stress, job satisfaction and job performance among male fertility patients

This survey focuses on respondents' feelings about their jobs, including feelings about co-workers, pay and productivity.Additional questions tapped respondents views on how they and colleagues maximize efforts.

Welcome to the 👨‍💼 👩‍💼 💼 Employee Data Analysis 📊 🔍 Database! 👋🏻

Our extensive collection of datasets provides a deep dive into different aspects of employee engagement and organizational dynamics.

Here's what you can expect to discover:

• General Employee Data: Explore essential workforce details such as demographics, job roles and tenure.

• Employee Survey Data: Access firsthand insights from employees through detailed surveys covering various aspects of their workplace experiences, satisfaction levels and engagement.

• Manager Survey Data: Gain valuable perspectives from managers' feedbacks, offering insights into leadership effectiveness and organizational culture.

With access to these datasets, you'll have the chance to analyze, model and discover actionable insights to improve organizational performance, elevate employee satisfaction, predict employee attrition and much more, all to inform strategic decision-making.