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.

Graph and download economic data for Estimate of Median Household Income for New York (MHINY36000A052NCEN) from 1989 to 2023 about NY, households, median, income, and USA.

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.

In 2023, the median household income in New York amounted to 81,600 U.S. dollars. This is an increase from the previous year, when the median household income in the state amounted to 75,910 U.S. dollars. The median household income for the United States can be accessed here.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in New York County: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 25,551(3.30%) households where the householder is under 25 years old, 304,498(39.27%) households with a householder aged between 25 and 44 years, 241,081(31.09%) households with a householder aged between 45 and 64 years, and 204,246(26.34%) households where the householder is over 65 years old.
• In New York County, the age group of 25 to 44 years stands out with both the highest median income and the maximum share of households. This alignment suggests a financially stable demographic, indicating an established community with stable careers and higher incomes.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 New York County median household income by age. You can refer the same here

Median Household Income in New York was 81600.00000 Current $ in January of 2023, according to the United States Federal Reserve. Historically, Median Household Income in New York reached a record high of 81600.00000 in January of 2023 and a record low of 22030.00000 in January of 1984. Trading Economics provides the current actual value, an historical data chart and related indicators for Median Household Income in New York - last updated from the United States Federal Reserve on July of 2025.

Graph and download economic data for Average Hourly Earnings of All Employees: Total Private in New York City, NY (SMU36935610500000003) from Jan 2007 to May 2025 about New York, earnings, hours, NY, private, 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 2021

Based on our analysis ACS 2017-2021 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 $33,441 for males and $22,047 for females.

These income figures highlight a substantial gender-based income gap in Windham town. 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 town of Windham town.

- 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 $70,259, while females earned $39,724, leading to a 43% gender pay gap among full-time workers. This illustrates that women earn 57 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 Windham town, showcasing a consistent income pattern irrespective of employment status.

https://i.neilsberg.com/ch/windham-ny-income-by-gender.jpeg" alt="Windham, New York gender based income disparity">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-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 Windham town median household income by gender. You can refer the same here

In 2023, the per capita personal income in New York was 82,323 U.S. dollars. Per capita personal income is calculated as the personal income of the residents of a given area divided by the resident population of the area.

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 Alma 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 Alma town, the median income for all workers aged 15 years and older, regardless of work hours, was $33,750 for males and $30,536 for females.

Based on these incomes, we observe a gender gap percentage of approximately 10%, indicating a significant disparity between the median incomes of males and females in Alma town. Women, regardless of work hours, still earn 90 cents to each dollar earned by men, highlighting an ongoing gender-based wage gap.

- Full-time workers, aged 15 years and older: In Alma town, among full-time, year-round workers aged 15 years and older, males earned a median income of $57,083, while females earned $37,083, 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 lower gender pay gap percentage. This indicates that Alma town offers better opportunities for women in non-full-time positions.

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

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Stanford town. The dataset can be utilized to gain insights into gender-based income distribution within the Stanford town population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Stanford town, among individuals aged 15 years and older with income, there were 1,600 men and 1,358 women in the workforce. Among them, 762 men were engaged in full-time, year-round employment, while 483 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 2.10% fell within the income range of under $24,999, while 2.28% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 48.69% of men in full-time roles earned incomes exceeding $100,000, while 20.91% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

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.

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

A dataset listing the richest zip codes in New York per the most current US Census data, including information on rank and average income.

In 2023, the per capita disposable personal income in New York stood at 68,435 U.S. dollars. This was a significant increase from the previous year, when the per capita disposable personal income in the state was 62,031 U.S. dollars.

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 New York 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 New York County, the median income for all workers aged 15 years and older, regardless of work hours, was $72,134 for males and $54,928 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 New York County. 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 thecounty of New York County.

- Full-time workers, aged 15 years and older: In New York County, among full-time, year-round workers aged 15 years and older, males earned a median income of $119,785, while females earned $96,975, leading to a 19% gender pay gap among full-time workers. This illustrates that women earn 81 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 New York 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 New York County median household income by race. You can refer the same here

New York-Newark-Jersey City, NY-NJ-PA - Average Weekly Wages for Employees in Total Covered Establishments in New York-Northern New Jersey-Long Island, NY-NJ-PA (MSA) was 1961.94841 $ 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 Total Covered Establishments in New York-Northern New Jersey-Long Island, NY-NJ-PA (MSA) reached a record high of 1961.94841 in October of 2024 and a record low of 592.29343 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 Total Covered Establishments in New York-Northern New Jersey-Long Island, NY-NJ-PA (MSA) - last updated from the United States Federal Reserve on June of 2025.

In 2023, the average wage in private industry in Alabama was at 58,993 U.S. dollars. This was nearly half of the annual average wages per employee in the District of Columbia, at 112,048 U.S. dollars. That year, the District of Columbia, Massachusetts, and New York were the top ranked states in terms of average wages per employee.

Graph and download economic data for Estimated Mean Real Household Wages Adjusted by Cost of Living for New York County, NY (MWACL36061) from 2009 to 2023 about New York County, NY; adjusted; New York; average; NY; wages; real; 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 June of 2025.

New York-Newark-Jersey City, NY-NJ-PA - Average Weekly Wages for Employees in Total Covered Establishments in New York-Northern New Jersey-Long Island, NY-NJ-PA (MSA) was 1751.00000 $ per Week in July of 2024, according to the United States Federal Reserve. Historically, New York-Newark-Jersey City, NY-NJ-PA - Average Weekly Wages for Employees in Total Covered Establishments in New York-Northern New Jersey-Long Island, NY-NJ-PA (MSA) reached a record high of 2229.00000 in January of 2024 and a record low of 571.00000 in July 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 Total Covered Establishments in New York-Northern New Jersey-Long Island, NY-NJ-PA (MSA) - last updated from the United States Federal Reserve on June of 2025.

How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov.

The Low- to Moderate-Income (LMI) New York State (NYS) Census Population Analysis dataset is resultant from the LMI market database designed by APPRISE as part of the NYSERDA LMI Market Characterization Study (https://www.nyserda.ny.gov/lmi-tool). All data are derived from the U.S. Census Bureau’s American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS) files for 2013, 2014, and 2015.

Each row in the LMI dataset is an individual record for a household that responded to the survey and each column is a variable of interest for analyzing the low- to moderate-income population.

The LMI dataset includes: county/county group, households with elderly, households with children, economic development region, income groups, percent of poverty level, low- to moderate-income groups, household type, non-elderly disabled indicator, race/ethnicity, linguistic isolation, housing unit type, owner-renter status, main heating fuel type, home energy payment method, housing vintage, LMI study region, LMI population segment, mortgage indicator, time in home, head of household education level, head of household age, and household weight.

The LMI NYS Census Population Analysis dataset is intended for users who want to explore the underlying data that supports the LMI Analysis Tool. The majority of those interested in LMI statistics and generating custom charts should use the interactive LMI Analysis Tool at https://www.nyserda.ny.gov/lmi-tool. This underlying LMI dataset is intended for users with experience working with survey data files and producing weighted survey estimates using statistical software packages (such as SAS, SPSS, or Stata).