Data Description: This dataset lists all current City of Cincinnati employees, including full names, department, position title, full-time employee status, employee age range, employee race, and annual salary rate.

Data Creation: This data is pulled directly from the City's HR software; which centralizes all department HR actions city wide.

Data Created By: City Human Resource Information System (CHRIS)

Refresh Frequency: Daily

CincyInsights: The City of Cincinnati maintains an interactive dashboard portal, CincyInsights in addition to our Open Data in an effort to increase access and usage of city data. This data set has an associated dashboard available here: https://insights.cincinnati-oh.gov/stories/s/Employee-Profile/wjqv-hgc9/

Data Dictionary: A data dictionary providing definitions of columns and attributes is available as an attachment to this dataset.

Processing: The City of Cincinnati is committed to providing the most granular and accurate data possible. In that pursuit the Office of Performance and Data Analytics facilitates standard processing to most raw data prior to publication. Processing includes but is not limited: address verification, geocoding, decoding attributes, and addition of administrative areas (i.e. Census, neighborhoods, police districts, etc.).

Data Usage: For directions on downloading and using open data please visit our How-to Guide: https://data.cincinnati-oh.gov/dataset/Open-Data-How-To-Guide/gdr9-g3ad

Explore the salaries of higher education employees from Ohio's public universities dating back to 2011.

This dataset offers insights into the earnings of various positions across multiple institutions. Please note that benefits are not included in the reported salaries.

Don't forget to upvote this dataset if you find it useful for your analysis! 😊📊

Key Insights:

1. Track salary trends over the years at different universities in Ohio.
2. Compare earnings across schools, departments, and job positions.
3. Identify the highest-earning employees in the public university sector.
4. Analyze the distribution of earnings by year.

Photo by Tra Nguyen on Unsplash

Graph and download economic data for Average Weekly Wages for Employees in State Government Establishments in Springfield, OH (MSA) (ENUC442240210SA) from Q1 1990 to Q1 2025 about state govt, Springfield, establishments, OH, average, wages, government, employment, and USA.

Graph and download economic data for Average Weekly Wages for Employees in State Government Establishments in Cleveland-Elyria-Mentor, OH (MSA) (ENUC174640210SA) from Q1 1990 to Q4 2023 about state govt, Cleveland, establishments, OH, average, wages, government, employment, and USA.

Graph and download economic data for Average Weekly Wages for Employees in Total Covered Establishments in Columbus, OH (MSA) (ENUC181440010SA) from Q1 1990 to Q1 2025 about covered, Columbus, establishments, OH, average, wages, employment, and USA.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Ohio. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Ohio, the median income for all workers aged 15 years and older, regardless of work hours, was $46,454 for males and $30,779 for females.

These income figures highlight a substantial gender-based income gap in Ohio. Women, regardless of work hours, earn 66 cents for each dollar earned by men. This significant gender pay gap, approximately 34%, underscores concerning gender-based income inequality in the state of Ohio.

- Full-time workers, aged 15 years and older: In Ohio, among full-time, year-round workers aged 15 years and older, males earned a median income of $65,514, while females earned $52,286, leading to a 20% gender pay gap among full-time workers. This illustrates that women earn 80 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Ohio.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Ohio median household income by race. You can refer the same here

A dataset that explores Green Card sponsorship trends, salary data, and employer insights for the ohio state university in the U.S.

Graph and download economic data for Average Weekly Wages for Employees in State Government Establishments in Lima, OH (MSA) (ENUC306240210SA) from Q1 1990 to Q1 2025 about Lima, state govt, establishments, OH, average, wages, government, employment, and USA.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Ohio County. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Ohio County, the median income for all workers aged 15 years and older, regardless of work hours, was $39,653 for males and $21,354 for females.

These income figures highlight a substantial gender-based income gap in Ohio County. Women, regardless of work hours, earn 54 cents for each dollar earned by men. This significant gender pay gap, approximately 46%, underscores concerning gender-based income inequality in the county of Ohio County.

- Full-time workers, aged 15 years and older: In Ohio County, among full-time, year-round workers aged 15 years and older, males earned a median income of $55,492, while females earned $36,551, leading to a 34% gender pay gap among full-time workers. This illustrates that women earn 66 cents for each dollar earned by men in full-time roles. This level of income gap emphasizes the urgency to address and rectify this ongoing disparity, where women, despite working full-time, face a more significant wage discrepancy compared to men in the same employment roles.

Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Ohio County, showcasing a consistent income pattern irrespective of employment status.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Ohio County median household income by race. You can refer the same here

Graph and download economic data for All Employees: Accounting, Tax Preparation, Bookkeeping, and Payroll Services in Ohio (SMU39000006054120001A) from 1990 to 2024 about accounting, payrolls, OH, tax, services, employment, and USA.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Ohio township. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Ohio township, the median income for all workers aged 15 years and older, regardless of work hours, was $80,915 for males and $54,167 for females.

These income figures highlight a substantial gender-based income gap in Ohio township. Women, regardless of work hours, earn 67 cents for each dollar earned by men. This significant gender pay gap, approximately 33%, underscores concerning gender-based income inequality in the township of Ohio township.

- Full-time workers, aged 15 years and older: In Ohio township, among full-time, year-round workers aged 15 years and older, males earned a median income of $113,299, while females earned $81,458, leading to a 28% gender pay gap among full-time workers. This illustrates that women earn 72 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Ohio township.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Ohio township median household income by race. You can refer the same here

Graph and download economic data for Average Weekly Wages for Employees in State Government Establishments in Columbus, OH (MSA) (ENUC181440210SA) from Q1 1990 to Q1 2025 about state govt, Columbus, establishments, OH, average, wages, government, employment, and USA.

Graph and download economic data for Average Weekly Wages for Employees in Total Covered Establishments in Akron, OH (MSA) (ENUC104240010SA) from Q1 1990 to Q1 2025 about Akron, covered, establishments, OH, average, wages, employment, and USA.

Graph and download economic data for Average Weekly Wages for Employees in Total Covered Establishments in Toledo, OH (MSA) (ENUC457840010SA) from Q1 1990 to Q1 2025 about Toledo, covered, establishments, OH, average, wages, employment, and USA.

Graph and download economic data for Average Weekly Wages for Employees in Total Covered Establishments in Canton-Massillon, OH (MSA) (ENUC159440010SA) from Q1 1990 to Q1 2025 about Canton, covered, establishments, OH, average, wages, employment, and USA.

Graph and download economic data for Average Weekly Wages for Employees in State Government Establishments in Youngstown-Warren-Boardman, OH-PA (MSA) (ENUC496640210SA) from Q1 1990 to Q1 2025 about Youngstown, state govt, establishments, OH, PA, average, wages, government, employment, and USA.

Graph and download economic data for Average Weekly Wages for Employees in State Government Establishments in Dayton, OH (MSA) (ENUC193840210) from Q4 2007 to Q4 2023 about Dayton, state govt, establishments, OH, average, wages, government, employment, and USA.

Graph and download economic data for Average Weekly Wages for Employees in State Government Establishments in Steubenville-Weirton, OH-WV (MSA) (ENUC482640210SA) from Q1 1990 to Q1 2025 about Weirton, state govt, WV, establishments, OH, average, wages, government, employment, and USA.

Graph and download economic data for Average Weekly Wages for Employees in State Government Establishments in Wheeling, WV-OH (MSA) (ENUC485440210SA) from Q1 1990 to Q1 2025 about Wheeling, state govt, WV, establishments, OH, average, wages, government, employment, and USA.

Graph and download economic data for Average Weekly Wages for Employees in Total Covered Establishments in Springfield, OH (MSA) (ENUC442240010SA) from Q1 1990 to Q1 2025 about covered, Springfield, establishments, OH, average, wages, employment, and USA.