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.

➡️ DOCS With just the company's LinkedIn profile URL and the desired job titles, you can get a list of employees at the company that fulfilled the search parameters. Check out our API Docs at ➡ nubela.co/proxycurl/docs

➡️ PRICING MODEL Get the data using our API at just $0.01/credit, with each successful request using up only 1 credit. If you need more advanced data points, use more credits for each API request.

➡️ COVERAGE Our Employee Search API covers profiles globally.

➡️ FRESHNESS 88% of our data is fetched in real time, and the API takes 2-3 seconds to complete. If freshness is not a priority, you can choose cached results, which returns immediately.

➡️ LEGAL COMPLIANCE All our data and procedures are in place that meet major legal compliance requirements such as GDPR, CCPA. We help you be compliant too.

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 SurveyContact:  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

This horizontal bar chart displays employees (people) by employee type using the aggregation sum in Pearl City. The data is about companies.

Description: This dataset contains detailed leave records of employees across various departments in an organization for the year 2024. It provides insights into leave patterns, types of leaves taken, and remaining leave balances. The dataset can be used for HR analytics, leave management system optimization, and employee behavior analysis.

Features: Employee: The name of the employee. Department: The department to which the employee belongs (e.g., IT, HR, Finance). Position: The job title of the employee (e.g., Software Engineer, HR Manager). Leave Type: The type of leave taken (e.g., Sick Leave, Maternity Leave, Casual Leave). Start Date: The starting date of the leave. End Date: The ending date of the leave. Days Taken: The number of days the leave lasted. Total Leave: The total leave entitlement of the employee for the year. Leave Taken: The cumulative number of leave days taken by the employee so far. Remaining Leave: The remaining leave balance for the employee. Month: The month in which the leave occurred. Potential Use Cases: HR Analytics: Analyzing leave trends across departments and positions. Leave Policy Review: Assessing if leave entitlements align with employee needs. Employee Behavior Insights: Identifying patterns in leave usage. Predictive Modeling: Forecasting leave trends for better workforce planning. This dataset is well-suited for data visualization, statistical analysis, and machine learning projects related to human resources.

This transformed view of Employee Demographics - Public dataset counts the number of and percentage of city employees by race as self-reported by employee based on EEOC classification. This information is used by "City Employee vs. Community Demographics dataset" at https://citydata.mesaaz.gov/Economic-Development/Chart-Data-for-City-Employee-vs-Community-Demograp/bt2n-zimw

This horizontal bar chart displays employees (people) by employee type using the aggregation sum in Wells. The data is about companies.

The current dataset is from the Human Resources Department of the company. The department wants to know why their best and most experienced employees are leaving The current dataset is from the Human Resources Department of the company. The department wants to know why t why their best and most experienced employees are leaving the organization prematurely. Fields in the dataset includes: employee satisfaction level, last evaluation, number of projects, average monthly hours and so on

Employee payroll data for all Cook County employees excluding Forest Preserves, indicating amount of base salary paid to an employee during the County fiscal quarter. Salaries are paid to employees on a bi-weekly basis. Any pay period that extended between quarters will be reported to the quarter of the Pay Period End Date. (e.g. If a Pay Period runs 02/21-03/05, that pay period would be reported in the Q2 period, as the end of the pay period falls in March - Q2)

The county fiscal quarters are: Q1: December - February Q2: March - May Q3: June - August Q4: September - November

The Employee Unique Identifier field is a unique number assigned to each employee for the purpose of this data set, that is not their internal employee ID number, and allows an employee to be identified in the data set over time, in case of a name change or other change. This number will be consistent within the data set, but we reserve the right to regenerate this number over time across the data set.

ISSUE RESOLVED: As of 4/19/2018 there was an issue regarding employee FY2016 and FY2017 payroll in which records were duplicated in the quarterly aggregation, resulting in inflated base pay amounts. Please disregard any data extracted from this dataset prior to the correction date and use this version moving forward.

KNOWN ISSUE: Several records are missing Bureau and Office information. We are working on correcting this and will update the dataset when this issue has been resolved.

For data prior to Fiscal Year 2016, see datasets at https://datacatalog.cookcountyil.gov/browse?tags=payroll

Each year, the City of Boston publishes payroll data for employees. This dataset contains employee names, job details, and earnings information including base salary, overtime, and total compensation for employees of the City.

See the "Payroll Categories" document below for an explanation of what types of earnings are included in each category.

➡️ DOCS With just the company's LinkedIn profile URL, you can get the structured data to the person profiles of all employees of a company, including their name, accomplishments, experiences, profile URL and more. Check out our API Docs at ➡ nubela.co/proxycurl/docs

➡️ PRICING MODEL Get the data using our API at just $0.01/credit, with each successful request using up only 1 credit. If you need more advanced data points, use more credits for each API request.

➡️ COVERAGE Our Employee Listing API covers profiles globally.

➡️ FRESHNESS 88% of our data is fetched in real time, and the API takes 2-3 seconds to complete. If freshness is not a priority, you can choose cached results, which returns immediately.

➡️ LEGAL COMPLIANCE All our data and procedures are in place that meet major legal compliance requirements such as GDPR, CCPA. We help you be compliant too.

‘This dataset provides information regarding the total approved actual expenses incurred by Montgomery County government employees traveling non-locally (over 75 miles from the County’s Executive Office Building at 101 Monroe St. Rockville, MD) for official business, beginning on or after August 12, 2015. The dataset includes the name of traveling employee; the employee’s home department; travel start and end dates; destination; purpose of travel; and actual total expenses funded by the County. Update Frequency: Monthly

This dataset contains 10000 employee records, including details such as age, department, salary, position, performance ratings, and joining date. It is ideal for HR analysis, performance evaluation, salary analysis, and employee retention strategies.

This horizontal bar chart displays employees (people) by employee type using the aggregation sum in Deerfield. The data is about companies.

Overall and voluntary turnover data for State of Oklahoma classified employees beginning in fiscal year 2007.

This bar chart displays employees (people) by employee type using the aggregation sum in Dominican Republic. The data is about companies.

Context

The key to success in any organization is attracting and retaining top talent. I’m an HR analyst at my company, and one of my tasks is to determine which factors keep employees at my company and which prompt others to leave. I need to know what factors I can change to prevent the loss of good people. Watson Analytics is going to help.

Content

I have data about past and current employees in a spreadsheet on my desk top. It has various data points on our employees, but I’m most interested in whether they’re still with my company or whether they’ve gone to work somewhere else. And I want to understand how this relates to workforce attrition.

Education 1 'Below College' 2 'College' 3 'Bachelor' 4 'Master' 5 'Doctor'

EnvironmentSatisfaction 1 'Low' 2 'Medium' 3 'High' 4 'Very High'

JobInvolvement 1 'Low' 2 'Medium' 3 'High' 4 'Very High'

JobSatisfaction 1 'Low' 2 'Medium' 3 'High' 4 'Very High'

PerformanceRating 1 'Low' 2 'Good' 3 'Excellent' 4 'Outstanding'

RelationshipSatisfaction 1 'Low' 2 'Medium' 3 'High' 4 'Very High'

WorkLifeBalance 1 'Bad' 2 'Good' 3 'Better' 4 'Best'

Acknowledgements

https://www.ibm.com/communities/analytics/watson-analytics-blog/watson-analytics-use-case-for-hr-retaining-valuable-employees/

Inspiration

Which factors led to employee attrition?

Forecast: Imitation Jewellery Labour Cost Per Employee FTE in Germany 2022 - 2026 Discover more data with ReportLinker!

This bar chart displays employees (people) by employee type using the aggregation sum in Calama. The data is about companies.

A. SUMMARY The San Francisco Controller's Office maintains a database of the salary and benefits paid to City employees since fiscal year 2013.

B. HOW THE DATASET IS CREATED This data is summarized and presented on the Employee Compensation report hosted at http://openbook.sfgov.org, and is also available in this dataset in CSV format.

C. UPDATE PROCESS New data is added on a bi-annual basis when available for each fiscal and calendar year.

D. HOW TO USE THIS DATASET Before using please first review the following two resources: