Economic Security
Unemployment Rate, by Race/Ethnicity

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Source: U.S. Census Bureau

What does this measure?

The unemployment rate for racial and ethnic groups in a geographic area. Unemployed individuals are those without jobs who are able, available and seeking work; the rate presents them as a share of the total labor force.

Why is this important?

Unemployment rates are a relatively timely indicator of current local economic conditions, particularly recent changes in the employment landscape that reflect the overall health of the economy.

How is Westchester County performing?

In 2020-24, unemployment in Westchester County was highest among African American workers, at 8.0%, followed by Hispanic workers, at 7.3%, White workers, at 5.4%, and Asian workers, at 3.9%. Westchester has somewhat less disparity than the state and nation due to lower unemployment rates for African American workers: 8.0% in Westchester compared with 9.8% in New York State and 8.7% in the nation. The unemployment rate for Hispanic workers in Westchester County was slightly higher than the nation (6.2%) and lower than the state (8.5%).

Since 2010-14, unemployment rates for all groups decreased in Westchester County. Rates declined the most for African American workers, by 4.4 percentage points followed by Hispanic workers, down 2.2 percentage points.

Westchester County had the highest unemployment rate among African American and Hispanic workers compared to Nassau (6.4% for African Americans; 5.2% for Hispanic), Rockland (6.5% for African Americans; 6.3% for Hispanics), and Putnam (7% for African Americans; 4.5% for Hispanics). Westchester had a similar rate of unemployment among Asians as Rockland County (3.9%), slightly below Nassau at 4.0%.

Why do these disparities exist?

While traditional explanations for employment rate disparities focus on education and training gaps, whites tend to be employed at higher rates than Blacks and other people of color at every education level (high school, some college, bachelor's degree, etc.). This has led many researchers to focus on labor market discrimination as a primary cause of higher unemployment among people of color. However, it is also true that education levels are generally lower for people of color, suggesting that the education system's failure to equitably serve people of color is also a contributing factor.

Notes about the data

The multi-year figures are from the Census Bureau's American Community Survey. The bureau combined five years of responses to the survey to provide estimates for smaller geographic areas and increase the precision of its estimates. The survey provides data on characteristics of the population that used to be collected only during the decennial census.

Data on unemployment by race and ethnicity is only available from the American Community Survey, and it is somewhat different from the total population unemployment data produced by the U.S. Bureau of Labor Statistics using responses to the Census Bureau's Current Population Survey. Two different survey methodologies are used (ACS responses are collected by mail, phone and in person; CPS uses phone and in-person interviews), CPS questions on employment are more detailed, and CPS requires that someone be "actively" searching for work (interviewing, calling contacts) in order to qualify as unemployed. In addition, the ACS estimates used here cover a 5-year period, compared to an annual average of monthly estimates presented in the general unemployment indicator.

Unemployment Rate by Race/Ethnicity, 2020-24
AsianBlack or African AmericanHispanicWhite
Westchester County3.9%8.0%7.3%5.4%
Nassau County4.0%6.4%5.2%4.4%
Putnam County1.8%***7.0%***4.5%**4.3%
Rockland County3.9%*6.5%*6.3%*5.4%
New York State5.6%9.8%8.5%5.0%
Mount Vernon1.8%***10.1%*11.1%*8.0%**
New Rochelle1.1%***7.2%**7.0%*5.1%*
Peekskill0.0%***4.6%***7.2%***6.6%***
Rye City4.9%***11.4%***24.7%***3.8%**
White Plains5.7%***5.3%***6.9%**5.2%*
Yonkers2.1%***8.5%*8.1%6.9%*
Westchester County Towns
Bedford1.9%***0.0%***4.0%***5.1%***
Cortlandt5.9%***0.7%***5.1%***9.4%**
Eastchester1.5%***4.9%***1.9%***2.8%*
Greenburgh6.5%**9.2%**6.9%*3.9%*
Harrison9.2%***5.1%***5.8%***5.2%*
Lewisboro21.6%***0.0%***6.0%***3.0%***
Mamaroneck2.7%***0.0%***3.8%***5.9%**
Mount Kisco4.6%***0.0%***5.7%***5.2%***
Mount Pleasant1.3%***11.5%***7.9%***5.7%*
New Castle0.6%***0.0%***9.0%***4.0%***
North Castle1.0%***0.0%***0.0%***4.1%***
North Salem0.0%***0.0%***0.0%***3.3%***
Ossining2.2%***9.7%***6.0%**4.4%**
Pelham0.0%***0.0%***6.4%***5.7%***
Pound Ridge2.6%***15.2%***0.0%***1.5%***
Rye2.2%***7.7%***6.7%**5.7%*
Scarsdale6.0%***1.2%***0.8%***4.1%**
Somers5.7%***0.0%***2.6%***4.6%*
Yorktown3.8%***2.6%***7.0%***5.7%*
Westchester County Villages
Ardsley3.4%***N/A***12.1%***6.8%***
Briarcliff Manor0.0%***0.0%***2.9%***2.7%***
Bronxville3.8%***53.6%***6.2%***3.7%***
Buchanan0.0%***0.0%***0.0%***1.7%***
Croton-on-Hudson0.0%***0.0%***11.3%***7.4%***
Dobbs Ferry4.3%***5.3%***11.9%***3.8%***
Elmsford13.7%***0.0%***3.0%***0.7%***
Village of Harrison9.2%***5.1%***5.8%***5.2%*
Hastings-on-Hudson0.0%***8.0%***9.9%***3.8%***
Irvington1.4%***24.1%***0.0%***1.7%***
LarchmontN/A***0.0%***8.5%***11.7%***
Village of Mamaroneck2.2%***0.0%***2.9%***5.2%***
Village of Mount Kisco4.6%***0.0%***5.7%***5.2%***
Village of Ossining3.7%***10.5%***5.7%**4.3%***
Village of Pelham0.0%***0.0%***3.1%***7.1%***
Pelham Manor0.0%***0.0%***18.1%***4.2%***
Pleasantville0.0%***0.0%***12.8%***6.8%***
Port Chester6.1%***8.2%***6.4%***5.6%***
Rye Brook0.0%***0.0%***13.8%***5.7%***
Village of Scarsdale6.0%***1.2%***0.8%***4.1%**
Sleepy Hollow0.0%***0.0%***8.5%***2.6%***
Tarrytown5.1%***13.7%***8.9%***3.4%***
Tuckahoe1.6%***0.0%***2.9%***1.8%***

Source: U.S. Census Bureau
Notes: Multiyear results are from rolling American Community Survey. * Margin of error between 20% & 35% of estimate; ** margin of error between 35% & 50%; *** margin of error greater than 50%. The Census Bureau asks people to identify their race (white, African-American, etc.) separate from their ethnicity (Hispanic or non-Hispanic). So the totals for these categories cannot be added together, as people show up in both a racial and ethnic group.




Number Unemployed by Race/Ethnicity, 2020-24
AsianBlack or African AmericanHispanicWhite
Westchester County1,3955,86910,68014,738
Nassau County3,5815,5827,25118,130
Putnam County22***113***461**1,698
Rockland County423*1,325*2,137*4,944
New York State53,529138,211163,921286,116
Mount Vernon18***2,263*918*467**
New Rochelle29***648**974*991*
Peekskill0***89***515***350***
Rye City24***19***171***226**
White Plains195***199***700**852*
Yonkers139***1,683*4,0052,622*
Westchester County Towns
Bedford10***0***49***283***
Cortlandt46***13***239***1,472**
Eastchester31***15***33***357*
Greenburgh417**500**660*1,156*
Harrison108***32***153***573*
Lewisboro99***0***35***167***
Mamaroneck22***0***108***695**
Mount Kisco11***0***89***182***
Mount Pleasant13***71***395***958*
New Castle6***0***98***279***
North Castle4***0***0***169***
North Salem0***0***0***74***
Ossining23***143***483**423**
Pelham0***0***69***267***
Pound Ridge2***10***0***36***
Rye30***153***775**704*
Scarsdale108***2***2***236**
Somers30***0***39***362*
Yorktown30***29***170***837*
Westchester County Villages
Ardsley23***0***21***101***
Briarcliff Manor0***0***9***86***
Bronxville9***15***15***87***
Buchanan0***0***0***13***
Croton-on-Hudson0***0***61***264***
Dobbs Ferry35***9***114***170***
Elmsford47***0***46***6***
Village of Harrison108***32***153***573*
Hastings-on-Hudson0***8***32***145***
Irvington3***26***0***45***
Larchmont0***0***23***326***
Village of Mamaroneck15***0***88***333***
Village of Mount Kisco11***0***89***182***
Village of Ossining23***143***414**209***
Village of Pelham0***0***26***178***
Pelham Manor0***0***43***89***
Pleasantville0***0***75***223***
Port Chester29***153***657***338***
Rye Brook0***0***56***196***
Village of Scarsdale108***2***2***236**
Sleepy Hollow0***0***261***68***
Tarrytown29***43***126***135***
Tuckahoe11***0***18***50***

Source: U.S. Census Bureau
Notes: Multiyear results are from rolling American Community Survey. * Margin of error between 20% & 35% of estimate; ** margin of error between 35% & 50%; *** margin of error greater than 50%. The Census Bureau asks people to identify their race (white, African-American, etc.) separate from their ethnicity (Hispanic or non-Hispanic). So the totals for these categories cannot be added together, as people show up in both a racial and ethnic group.








INDICATORS TREND | WESTCHESTER
Early Prenatal Care, by Mother's Race/Ethnicity 10 Not Applicable*
Infant Mortality Rate, by Race/Ethnicity 10 Not Applicable*
Children Receiving Subsidized Child Care 0
Maintaining
Children Living in Poverty, by Race/Ethnicity 10 Not Applicable*
Disengaged Youth, Ages 16 to 19 -1
Decreasing
Single-Parent Families, by Race/Ethnicity 10 Not Applicable*
Single Female-Headed Households -1
Decreasing
Voter Registration Rate 1
Increasing
Voter Participation Rate 1
Increasing
Serious Crimes -1
Decreasing
Reported Victims of Domestic Violence 0
Maintaining
Arrest Rates, by Race/Ethnicity 10 Not Applicable*
Households without Vehicles -1
Decreasing
Means of Transportation to Work, by Race/Ethnicity 10 Not Applicable*
Open Space in Westchester County 10 Not Applicable*
Change in Total Population 1
Increasing
Change in Population, by Race/Ethnicity 10 Not Applicable*
Change in Population, by Age 10 Not Applicable*
People with Disabilities 1
Increasing
Language Diversity 1
Increasing
People 65 or Older Living Alone -1
Decreasing
Foreign-Born Population 1
Increasing
Change in Total Jobs 1
Increasing
Change in Jobs by Sector 10 Not Applicable*
Business Ownership, by Race/Ethnicity 10 Not Applicable*
Average Salary by Sector 10 Not Applicable*
Median Household Income, by Race/Ethnicity 10 Not Applicable*
Income in Relation to Poverty Level 10 Not Applicable*
Female to Male Earnings Ratio 0
Maintaining
Unemployment Rate, by Race/Ethnicity 10 Not Applicable*
People Living in Poverty -1
Decreasing
People Living in Poverty, by Race/Ethnicity 10 Not Applicable*
Seniors Living in Poverty 1
Increasing
Seniors Living in Poverty, by Race/Ethnicity 10 Not Applicable*
Food Insecurity 1
Increasing
Households Receiving SNAP, by Race/Ethnicity 10 Not Applicable*
Public Assistance 0
Maintaining
People Receiving Supplemental Security Income -1
Decreasing
Homeownership Rate, by Race/Ethnicity 10 Not Applicable*
Cost of Homeownership, by Race/Ethnicity 10 Not Applicable*
Overall Housing Cost Burden -1
Decreasing
Cost of Rent, by Race/Ethnicity 10 Not Applicable*
Rent Burdened Households -1
Decreasing
Homelessness, by Race/Ethnicity 10 Not Applicable*
Homelessness, by Sex 10 Not Applicable*
Per-Student Spending 0
Maintaining
Student Suspensions -1
Decreasing
Student Performance on Grade 3 English, by Race/Ethnicity 10 Not Applicable*
High School Cohort Graduation Rate, by Race/Ethnicity 10 Not Applicable*
College Admission Rate, by Race/Ethnicity 10 Not Applicable*
College Enrollment Rate, by Race/Ethnicity 10 Not Applicable*
Education Levels of Adults, by Race/Ethnicity 10 Not Applicable*
People Without Health Insurance -1
Decreasing
Mortality Rate, by Race/Ethnicity 10 Not Applicable*
Mortality Rate from Chronic Lower Respiratory Disease, by Race/Ethnicity 10 Not Applicable*
Diabetes Mortality, by Race/Ethnicity 10 Not Applicable*
Suicide Rates, by Race/Ethnicity 10 Not Applicable*


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