This dataset is a listing of all active City of Chicago employees, complete with full names, departments, positions, employment status (part-time or full-time), frequency of hourly employee –where applicable—and annual salaries or hourly rate. Please note that "active" has a specific meaning for Human Resources purposes and will sometimes exclude employees on certain types of temporary leave. For hourly employees, the City is providing the hourly rate and frequency of hourly employees (40, 35, 20 and 10) to allow dataset users to estimate annual wages for hourly employees. Please note that annual wages will vary by employee, depending on number of hours worked and seasonal status. For information on the positions and related salaries detailed in the annual budgets, see https://www.cityofchicago.org/city/en/depts/obm.html

Data Disclosure Exemptions: Information disclosed in this dataset is subject to FOIA Exemption Act, 5 ILCS 140/7 (Link:https://www.ilga.gov/legislation/ilcs/documents/000501400K7.htm)

This information is derived from payments made to City of Chicago employees from January 1 of the previous calendar year to the present. Payments are initiated by City Departments and issued by the Department of Finance. Descriptions of each attribute follow:

• Voucher Number: This is a unique number assigned to each payment and is used for identifying that particular payment.

• Amount: This is the dollar amount of the payment made.

• Payment Date: This is the date payment was issued.

• Vendor Name: This is the name of the person or entity to which payment was made.

• Description: This is an optional field that indicates the reason payment was made.

Number of employees in each department or sister agency who owe funds to the City. For each department, the dataset provides the following as of the date noted: total number of individuals employed by the department or agency, number of individuals that owe funds to the City in the department; and the total amount of debt owed by those employees. Data Owner: Revenue. Time Period: mid-October 2011 to present. Frequency: Data is updated weekly.

Current Employee Names, Salaries, and Position Titles records where Full or Part-Time is P.

Note, 7/10/2025: Please see this article for information on a change to the EMPLOYEE DATASET ID column and this article for information on a data correction. Welcome to the official source for Employee Payroll Costing data for the City of Chicago. This dataset offers a clean, comprehensive view of the City's payroll information by employee. About the Dataset: This has been extracted from the City of Chicago's Financial Management and Purchasing System (FMPS). FMPS is the system used to process all financial transactions made by the City of Chicago, ensuring accuracy and transparency in fiscal operations. This dataset includes useful details like employee name, pay element, pay period, fund, appropriation, department, and job title. Data Disclaimer: The following data disclaimer governs your use of the dataset extracted from the Payroll Costing module of the City of Chicago's Financial Management and Purchasing System (FMPS) or (FMPS Payroll Costing). Point-in-Time Extract: The dataset provided herein, represents a point-in-time extract from the FMPS Payroll Costing module and may not reflect real-time or up-to-date data. Financial Statement Disclaimer – Timeframe and Limitations: This dataset is provided without audit. It is essential to note that this dataset is not a component of the City's Annual Comprehensive Financial Report (ACFR). As such, it remains preliminary and is subject to the end-of-year reconciliation process inherent to the City's annual financial procedures outlined in the ACFR. Note on Pay Elements: All pay elements available in the FMPS Payroll Costing module have been included in this dataset. Previously published datasets, such as "Employee Overtime and Supplemental Earnings," contained only a subset of these pay elements. Payroll Period: The dataset's timeframe is organized into 24 payroll periods. It is important to understand that these periods may or may not directly correspond to specific earnings periods. Aggregating Data: The CIty of Chicago often has employees with the same name (including middle initials). It is vital to use the unique employee identifier code (EMPLOYEE DATASET ID) when aggregating at the employee level to avoid duplication. Data Subject to Change: This dataset is subject to updates and modifications due to the course of business, including activities such as canceling, adjusting, and reissuing checks. Data Disclosure Exemptions: Information disclosed in this dataset is subject to FOIA Exemption Act, 5 ILCS 140/7 (Link:https://www.ilga.gov/legislation/ilcs/documents/000501400K7.htm)

This dataset is a listing of all current City of Chicago employees, complete with full names, departments, positions, and annual salaries. For hourly employees the annual salary is estimated. Data Owner: Human Resources. Frequency: Data is updated quarterly. For information on the positions and related salaries detailed in the budget as of January 1, 2012, visit the "Budget - Positions and Salaries in 2012 Appropriation Ordinance" dataset: http://bit.ly/twq5oO

This dataset is a listing of all current City of Chicago employees, complete with full names, departments, positions, and annual salaries. For hourly employees the annual salary is estimated. Data Owner: Human Resources. Frequency: Data is updated quarterly. For information on the positions and related salaries detailed in the annual budgets, see https://data.cityofchicago.org/browse?limitTo=datasets&q="Budget+Ordinance+-+Positions+and+Salaries"&sortBy=newest&tags=budget.

This dataset includes recommended positions and salaries for 2015 by title (without names) and salary. The dataset is excerpted from the 2015 Budget Recommendations, which is the line-item budget proposed by the Mayor to the City Council for approval. Disclaimer: the “Total Budgeted Unit” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed. Owner: Budget and Management. Frequency: Data are updated annually. For more information about the budget process, visit the Budget Documents page: http://j.mp/lPotWf.

This dataset includes recommended positions and salaries for 2023 by title (without names) and salary. The dataset is excerpted from the 2023 Budget Recommendations, which is the line-item budget proposed by the Mayor to the City Council for approval. Disclaimer: the “Total Budgeted Unit” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed. This dataset follows the format of the equivalent datasets from past years except that Division Code, Section Code, Subsection Code, and Position Control have changed from Number to Text (not all in the same year) in order to accommodate non-numeric values. For more information about the budget process, visit the Budget Documents page: https://www.chicago.gov/city/en/depts/obm/provdrs/budget.html.

Analysis of ‘Current Employee Names, Salaries, and Position Titles’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/5ec933b7-de0c-479a-8c0b-b4712b580e9c on 12 February 2022.

--- Dataset description provided by original source is as follows ---

This dataset is a listing of all current City of Chicago employees, complete with full names, departments, positions, employment status (part-time or full-time), frequency of hourly employee –where applicable—and annual salaries or hourly rate. For hourly employees, the City is providing the hourly rate and frequency of hourly employees (40, 35, 20 and 10) to allow dataset users to estimate annual wages for hourly employees. Please note that annual wages will vary by employee, depending on number of hours worked and seasonal status. For information on the positions and related salaries detailed in the annual budgets, see https://www.cityofchicago.org/city/en/depts/obm.html

--- Original source retains full ownership of the source dataset ---

This dataset is a listing of all current City of Chicago employees, complete with full names, departments, positions, and annual salaries. For hourly employees the annual salary is estimated. Data Owner: Human Resources. Frequency: Data is updated quarterly. For information on the positions and related salaries detailed in the budget as of January 1, 2013, visit the "Budget - 2013 Budget Ordinance - Positions and Salaries" dataset: https://data.cityofchicago.org/d/78az-bt2s.

This dataset is now updated annually here.

Context

This dataset contains the salary, pay rate, and total compensation of every New York City employee. In this dataset this information is provided for the 2014, 2015, 2016, and 2017 fiscal years, and provides a transparent lens into who gets paid how much and for what.

Note that fiscal years in the New York City budget cycle start on July 1st and end on June 30th (see here). That means that this dataset contains, in its sum, compensation information for all City of New York employees for the period July 1, 2014 to June 30, 2017.

Content

This dataset provides columns for fiscal year, employee name, the city department they work for, their job title, and various fields describing their compensation. The most important of these fields is "Regular Gross Pay", which provides that employee's total compensation.

Acknowledgements

This information was published as-is by the City of New York.

Inspiration

• How many people do the various city agencies employ, and how much does each department spend on salary in total?
• What are the most numerous job titles in civic government employment?
• Where does overtime pay seem to be especially common? How much of it is there?
• How do New York City employee salaries compare against salaries of city employees in Chicago? Is the difference more or less than the difference in cost of living between the two cities?

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 Chicago Heights. 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 Chicago Heights, the median income for all workers aged 15 years and older, regardless of work hours, was $36,225 for males and $27,372 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 24% between the median incomes of males and females in Chicago Heights. With women, regardless of work hours, earning 76 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Chicago Heights.

- Full-time workers, aged 15 years and older: In Chicago Heights, among full-time, year-round workers aged 15 years and older, males earned a median income of $48,939, while females earned $42,368, resulting in a 13% gender pay gap among full-time workers. This illustrates that women earn 87 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the city of Chicago Heights.

Interestingly, when analyzing income across all roles, including non-full-time employment, the gender pay gap percentage was higher for women compared to men. It appears that full-time employment presents a more favorable income scenario for women compared to other employment patterns in Chicago Heights.

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 Chicago Heights median household income by race. You can refer the same here

Chicago Police district station locations and contact information.

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 Chicago. 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 2022

Based on our analysis ACS 2022 1-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Chicago, the median income for all workers aged 15 years and older, regardless of work hours, was $45,406 for males and $35,472 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 22% between the median incomes of males and females in Chicago. With women, regardless of work hours, earning 78 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Chicago.

- Full-time workers, aged 15 years and older: In Chicago, among full-time, year-round workers aged 15 years and older, males earned a median income of $68,870, while females earned $60,987, resulting in a 11% gender pay gap among full-time workers. This illustrates that women earn 89 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the city of Chicago.

Interestingly, when analyzing income across all roles, including non-full-time employment, the gender pay gap percentage was higher for women compared to men. It appears that full-time employment presents a more favorable income scenario for women compared to other employment patterns in Chicago.

https://i.neilsberg.com/ch/chicago-il-income-by-gender.jpeg" alt="Chicago, IL gender based income disparity">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-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 2022
• 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 Chicago median household income by gender. You can refer the same here

On May 16, 2011, Mayor Emanuel enacted Executive Order 2011-1. It requires Shakman-exempt employees of Executive Departments, department heads, non-clerical employees of the Mayor's Office, and persons appointed by the Mayor to City boards, commissions, authorities or agencies on or after May 16, 2011, to sign an Ethics Pledge http://bit.ly/mSkLU1. On July 28, 2011, this requirement was enacted into law by the City Council, as Section 2-156-015 of the Governmental Ethics Ordinance (effective September 8, 2011) http://bit.ly/qYti7P. The law requires new hires or appointees to sign the pledge within 14 days of starting their employment or appointments. The pledge obligates signers to abide by a ban on lobbying activity for two years after their City service ends. The Board of Ethics maintains these signed pledges. As a convenience, we are pleased to attach a list of persons who have signed this pledge. This list is sortable by name and department.

Starting with 2023 data, this series of annual datasets has been replaced with the Employee Payroll Data (FMPS Payroll Costing) dataset.

Employee overtime and supplemental earnings by month and year-to-date.

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 East Chicago. 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 East Chicago, the median income for all workers aged 15 years and older, regardless of work hours, was $31,949 for males and $22,420 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 30% between the median incomes of males and females in East Chicago. With women, regardless of work hours, earning 70 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of East Chicago.

- Full-time workers, aged 15 years and older: In East Chicago, among full-time, year-round workers aged 15 years and older, males earned a median income of $44,493, while females earned $37,930, resulting in a 15% gender pay gap among full-time workers. This illustrates that women earn 85 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the city of East Chicago.

Interestingly, when analyzing income across all roles, including non-full-time employment, the gender pay gap percentage was higher for women compared to men. It appears that full-time employment presents a more favorable income scenario for women compared to other employment patterns in East Chicago.

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 East Chicago median household income by race. You can refer the same here

This dataset is about companies in Chicago. It has 11,488 rows. It features 30 columns including city, country, employees, and employee type.