The Title and Salary Listing is a compilation of job titles under the jurisdiction of the Department of Civil Service.

Data is collected because of public interest in how the City’s budget is being spent on salary and overtime pay for all municipal employees. Data is input into the City's Personnel Management System (“PMS”) by the respective user Agencies. Each record represents the following statistics for every city employee: Agency, Last Name, First Name, Middle Initial, Agency Start Date, Work Location Borough, Job Title Description, Leave Status as of the close of the FY (June 30th), Base Salary, Pay Basis, Regular Hours Paid, Regular Gross Paid, Overtime Hours worked, Total Overtime Paid, and Total Other Compensation (i.e. lump sum and/or retro payments). This data can be used to analyze how the City's financial resources are allocated and how much of the City's budget is being devoted to overtime. The reader of this data should be aware that increments of salary increases received over the course of any one fiscal year will not be reflected. All that is captured, is the employee's final base and gross salary at the end of the fiscal year. In very limited cases, a check replacement and subsequent refund may reflect both the original check as well as the re-issued check in employee pay totals. NOTE 1: To further improve the visibility into the number of employee OT hours worked, beginning with the FY 2023 report, an updated methodology will be used which will eliminate redundant reporting of OT hours in some specific instances. In the previous calculation, hours associated with both overtime pay as well as an accompanying overtime “companion code” pay were included in the employee total even though they represented pay for the same period of time. With the updated methodology, the dollars shown on the Open Data site will continue to be inclusive of both types of overtime, but the OT hours will now reflect a singular block of time, which will result in a more representative total of employee OT hours worked. The updated methodology will primarily impact the OT hours associated with City employees in uniformed civil service titles. The updated methodology will be applied to the Open Data posting for Fiscal Year 2023 and cannot be applied to prior postings and, as a result, the reader of this data should not compare OT hours prior to the 2023 report against OT hours published starting Fiscal Year 2023. The reader of this data may continue to compare OT dollars across all published Fiscal Years on Open Data. NOTE 2: As a part of FISA-OPA’s routine process for reviewing and releasing Citywide Payroll Data, data for some agencies (specifically NYC Police Department (NYPD) and the District Attorneys’ Offices (Manhattan, Kings, Queens, Richmond, Bronx, and Special Narcotics)) have been redacted since they are exempt from disclosure pursuant to the Freedom of Information Law, POL § 87(2)(f), on the ground that disclosure of the information could endanger the life and safety of the public servants listed thereon. They are further exempt from disclosure pursuant to POL § 87(2)(e)(iii), on the ground that any release of the information would identify confidential sources or disclose confidential information relating to a criminal investigation, and POL § 87(2)(e)(iv), on the ground that disclosure would reveal non-routine criminal investigative techniques or procedures. Some of these redactions will appear as XXX in the name columns.

In 2023, the average annual pay of employees in New York totaled to ****** U.S. dollars. This is a significant increase from 2001 levels, when the average annual pay of employees was ****** U.S. dollars.

City employee Base and Overtime Salary by Fiscal Year.

City employee Base and Overtime Salary by Fiscal Year.

The Agency Report Table aggregates pay and employment characteristics in accordance with the requirements of Local Law 18 of 2019. The Table is a point-in-time snapshot of employees who were either active or on temporary leave (parental leave, military leave, illness, etc.) as of December 31st of each year the data is available (see Column "Data Year"). In addition, the Table contains snapshot data of active employees in seasonal titles as of June 30th. To protect the privacy of employees, the sign “<5” is used instead of the actual number for groups of less than five (5) employees, in accordance with the Citywide Privacy Protection Policies and Protocols. The Pay and Demographics Report, and the list of agencies included is available on the MODA Open Source Analytics Library: https://modaprojects.cityofnewyork.us/local-law-18/

Each row represents a group of employees with a common agency, EEO-4 Job Category, pay band, employee status and demographic attributes, which include race, ethnicity and gender.

The Civil List reports the agency code (DPT), first initial and last name (NAME), agency name (ADDRESS), title code (TTL #), pay class (PC), and salary (SAL-RATE) of individuals who were employed by the City of New York at any given time during the indicated year.

Graph and download economic data for Average Hourly Earnings of All Employees: Total Private in New York City, NY (SMU36935610500000003) from Jan 2007 to Jul 2025 about New York, NY, hours, earnings, private, employment, and USA.

New York-Newark-Jersey City, NY-NJ-PA - Average Weekly Wages for Employees in Local Government Establishments in New York-Northern New Jersey-Long Island, NY-NJ-PA (MSA) was 1722.61798 $ per Week in October of 2024, according to the United States Federal Reserve. Historically, New York-Newark-Jersey City, NY-NJ-PA - Average Weekly Wages for Employees in Local Government Establishments in New York-Northern New Jersey-Long Island, NY-NJ-PA (MSA) reached a record high of 1722.61798 in October of 2024 and a record low of 604.58592 in January of 1990. Trading Economics provides the current actual value, an historical data chart and related indicators for New York-Newark-Jersey City, NY-NJ-PA - Average Weekly Wages for Employees in Local Government Establishments in New York-Northern New Jersey-Long Island, NY-NJ-PA (MSA) - last updated from the United States Federal Reserve on July of 2025.

Graph and download economic data for Total Quarterly Wages in New York-Newark-Jersey City, NY-NJ-PA (MSA) (ENUC356230010SA) from Q1 1990 to Q4 2024 about NJ, New York, PA, NY, wages, and USA.

The Civil List reports the agency code (DPT), first initial and last name (NAME), agency name (ADDRESS), title code (TTL #), pay class (PC), and salary (SAL-RATE) of individuals who were employed by the City of New York at any given time during the indicated year.

Graph and download economic data for All Employees: Professional and Business Services: Accounting, Tax Preparation, Bookkeeping, and Payroll Services in New York City, NY (SMU36935616054120001) from Jan 1990 to Jun 2025 about accounting, New York, payrolls, tax, NY, 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 Windham town. 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 Windham town, the median income for all workers aged 15 years and older, regardless of work hours, was $42,051 for males and $41,250 for females.

Based on these incomes, we observe a gender gap percentage of approximately 2%, indicating a significant disparity between the median incomes of males and females in Windham town. Women, regardless of work hours, still earn 98 cents to each dollar earned by men, highlighting an ongoing gender-based wage gap.

- Full-time workers, aged 15 years and older: In Windham town, among full-time, year-round workers aged 15 years and older, males earned a median income of $69,773, while females earned $68,750, resulting in a 1% gender pay gap among full-time workers. This illustrates that women earn 99 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 town of Windham town.

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 Windham town, 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 Windham town median household income by race. You can refer the same here

Graph and download economic data for Total Wages and Salaries in New York (NYWTOT) from Q1 1998 to Q1 2025 about salaries, NY, wages, and USA.

New York-Newark-Jersey City, NY-NJ-PA - Average Weekly Wages for Employees in Federal Government Establishments in New York-Northern New Jersey-Long Island, NY-NJ-PA (MSA) was 1628.00000 $ per Week in July of 2021, according to the United States Federal Reserve. Historically, New York-Newark-Jersey City, NY-NJ-PA - Average Weekly Wages for Employees in Federal Government Establishments in New York-Northern New Jersey-Long Island, NY-NJ-PA (MSA) reached a record high of 1812.00000 in April of 2021 and a record low of 589.00000 in April of 1990. Trading Economics provides the current actual value, an historical data chart and related indicators for New York-Newark-Jersey City, NY-NJ-PA - Average Weekly Wages for Employees in Federal Government Establishments in New York-Northern New Jersey-Long Island, NY-NJ-PA (MSA) - last updated from the United States Federal Reserve on July of 2025.

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 Salamanca town. 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 Salamanca town, the median income for all workers aged 15 years and older, regardless of work hours, was $42,708 for males and $30,909 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 28% between the median incomes of males and females in Salamanca town. With women, regardless of work hours, earning 72 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thetown of Salamanca town.

- Full-time workers, aged 15 years and older: In Salamanca town, among full-time, year-round workers aged 15 years and older, males earned a median income of $50,625, while females earned $40,250, 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.

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 Salamanca town, 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 Salamanca town median household income by race. You can refer the same here

Graph and download economic data for All Employees: Total Nonfarm in New York City, NY (SMS36935610000000001) from Jan 1990 to Jul 2025 about New York, NY, nonfarm, 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 York town. 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 York town, the median income for all workers aged 15 years and older, regardless of work hours, was $49,691 for males and $29,115 for females.

These income figures highlight a substantial gender-based income gap in York town. Women, regardless of work hours, earn 59 cents for each dollar earned by men. This significant gender pay gap, approximately 41%, underscores concerning gender-based income inequality in the town of York town.

- Full-time workers, aged 15 years and older: In York town, among full-time, year-round workers aged 15 years and older, males earned a median income of $58,000, while females earned $37,470, leading to a 35% gender pay gap among full-time workers. This illustrates that women earn 65 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 York town, 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 York town median household income by race. You can refer the same here

This dataset contains budget and spending data for City Initiatives that use American Rescue Plan Act of 2021 (ARPA) or Coronavirus Response and Relief Supplemental Appropriations Act of 2021 (CRRSAA) federal funds. Each row is a different "Initiative Detailed", which is IBO's understanding of the purpose of the funding. IBO developed seven categories of initiative to standardize the comparison of budgeted and spent amounts across agencies: "Initiative Category". The IBO definitions of these categories are below, in order of prioritization (e.g. if a budget code fits the definition of 2. COVID Response – Public Programs and 4. Programmatic Support, it is listed under 2). If readers require more detailed information on spending, the underlying data with the previous initiative names is available for download. Covid Response – City Operations: Spending to keep city agencies operating during the Covid pandemic, such as city employee leave for quarantining and vaccinations, air purifiers, personal protective equipment (PPE) for city employees, etc. Covid Response – Public Programs: Programs created to protect people in New York City from Covid-19. Direct Human Services: Public services provided to meet the financial, physical, or mental needs of New York City residents. This includes ongoing services for housing, food, addiction treatment, childcare, education, anti-poverty, etc. These services are either provided by the government or a nonprofit. Programmatic Support: Funds used on temporary governmental programs. Note: this includes youth training and summer work programs because they are optional and extra-curricular, while public education and adult job training programs are direct human services. Government Operations: Federal funding supplemented lost revenue during the pandemic-related recession. These funds are for Other than Personal Spending, those administrative costs or public services provided in perpetuity (as opposed to services defined as Programmatic Support). Personnel/Staffing: Federal funding supplemented lost revenue during the pandemic-related recession. These funds are for salaries and wages paid to city employees, often called “Personal Services.” Salaries and wages related to Covid response, temporary programs, and direct human services are excluded from this category. Hiring & Attrition Management: Administrative costs related to managing the inflow and outflow of city employees.

New York-Newark-Jersey City, NY-NJ-PA - Average Weekly Wages for Employees in State Government Establishments in New York-Northern New Jersey-Long Island, NY-NJ-PA (MSA) was 2477.61261 $ per Week in October of 2024, according to the United States Federal Reserve. Historically, New York-Newark-Jersey City, NY-NJ-PA - Average Weekly Wages for Employees in State Government Establishments in New York-Northern New Jersey-Long Island, NY-NJ-PA (MSA) reached a record high of 2477.61261 in October of 2024 and a record low of 635.66870 in October of 1990. Trading Economics provides the current actual value, an historical data chart and related indicators for New York-Newark-Jersey City, NY-NJ-PA - Average Weekly Wages for Employees in State Government Establishments in New York-Northern New Jersey-Long Island, NY-NJ-PA (MSA) - last updated from the United States Federal Reserve on July of 2025.