Racial Equity
People Living in Poverty, by Race/Ethnicity
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Source: U.S. Census Bureau

What does this measure?

The proportion of people within racial and ethnic groups with incomes below the poverty line. Poverty thresholds vary by family composition and year. In 2022, the threshold for a four-person family with two children was $29,700.

Why is this important?

The percentage of people in poverty in various racial and ethnic groups is a measure of the overall economic health of these groups and may reflect disparities in access to economic opportunity. It also indicates the level of need for social and government supports.

How is our county performing?

In 2018-22, 20% of Hispanic or Latino residents and 16% of Black or African American residents in Worcester County had incomes below the poverty line, compared to 11% among Asian residents and 8% among White residents. Since 2008-12, rates declined by 12 percentage points for Latinos and by two points for African American residents. The rates for Asian and White residents were essentially steady.

Worcester County rates for all racial and ethnic groups were similar to the state and nation, except for the rate among African Americans which was five points lower in the County compared to the nation.

The City of Worcester, the only locality with statistically reliable data, had higher percentages of people living in poverty across all races and ethnicities compared to the County, particularly among Asians at 22% and Whites at 18%.

Why do these disparities exist?

These large and persistent disparities in poverty rates are the result of historic and current policies and practices that disadvantage people of color. Research has connected slavery and the inability of Black Americans even after emancipation to fully participate in economic life to the wealth and income gaps still present today. In addition, these differences are attributed to the complex interplay of conditions including gender, occupation, family structure, education, employment status, wages, incarceration, unemployment and discrimination. Black or African American and Hispanic or Latino workers across industries tend to earn lower wages than their White and Asian or Asian American peers. While education, especially the absence of a high school diploma, increases the likelihood of poverty, education credentials do not eliminate racial disparities. African Americans experience unemployment at twice the rate of Whites regardless of education level. Also, the disproportionate and systemic incarceration of Black and Latino males decreases job prospects and increases the likelihood of poverty.

Notes about the data

Poverty status is not reported for people in institutions, including college dormitories and military barracks, and people in living situations without conventional housing. 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.

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. However, because the information came from a survey, the samples responding to the survey were not always large enough to produce reliable results, especially in small geographic areas. CGR has noted on data tables the estimates with relatively large margins of error. Estimates with three asterisks have the largest margins, plus or minus 50% or more of the estimate. Two asterisks mean plus or minus 35%-50%, and one asterisk means plus or minus 20%-35%. For all estimates, the confidence level is 90%, meaning there is 90% probability the true value (if the whole population were surveyed) would be within the margin of error (or confidence interval). The survey provides data on characteristics of the population that used to be collected only during the decennial census. Data for this indicator are expected to be released annually in December.

People Living in Poverty by Race/Ethnicity, 2018-22
AsianBlack or African AmericanHispanic or LatinoWhite
Worcester County11%16%20%8%
Athol0%***27%***12%***11%*
Clinton4%***14%***17%**5%*
Fitchburg8%***11%**23%*11%
Gardner26%***16%***29%***13%*
Northbridge2%***0%***15%***6%***
Southbridge6%***11%***24%*18%*
Spencer0%***43%***1%***6%**
Webster34%***26%***28%**11%*
Westborough2%***2%***16%***5%**
Worcester22%*18%*24%18%
Massachusetts11%17%21%8%
Additional Worcester County localities
Ashburnham0%***25%***37%***7%***
Auburn5%***0%***7%***4%**
BarreN/A***0%***44%***13%***
Berlin0%***44%***0%***4%***
Blackstone1%***3%***1%***5%**
Bolton3%***N/A***1%***3%***
Boylston0%***0%***4%***8%***
Brookfield0%***38%***12%***7%***
Charlton0%***11%***19%***3%***
Douglas0%***0%***25%***2%***
Dudley14%***9%***5%***7%*
East Brookfield0%***0%***2%***7%***
Grafton5%***12%***25%***5%**
Hardwick0%***0%***38%***10%***
Harvard0%***1%***1%***5%***
Holden18%***1%***2%***4%*
Hopedale0%***0%***17%***4%***
Hubbardston100%***5%***1%***4%***
Lancaster39%***0%***22%***3%***
Leicester0%***29%***16%***3%***
Lunenburg0%***0%***5%***8%**
Mendon0%***0%***1%***7%***
Milford2%***3%***8%***8%**
Millbury1%***1%***0%***6%**
Millville0%***65%***3%***7%**
New Braintree0%***74%***50%***11%***
Northborough3%***50%***2%***2%**
North Brookfield0%***0%***0%***9%***
OakhamN/A***10%***28%***5%**
Oxford0%***18%***14%***3%**
Paxton0%***4%***4%***1%***
Petersham0%***0%***11%***7%***
PhillipstonN/A***0%***0%***5%**
PrincetonN/A***100%***17%***2%***
Royalston0%***N/A***N/A***10%***
Rutland0%***0%***0%***2%***
Shrewsbury6%***6%***5%***3%*
Southborough6%***6%***7%***3%***
Sterling100%***0%***10%2%***
Sturbridge0%***1%***4%***4%***
Sutton7%***39%***5%***4%***
Templeton0%***21%***3%***5%***
Upton0%***1%***0%***2%***
Uxbridge40%***0%***4%***3%**
Warren0%***0%***0%***12%***
West Boylston19%***31%***11%***8%**
West BrookfieldN/A***N/A***15%***9%***
Westminster0%***N/A***0%***4%***
Winchendon18%***48%***0%***10%**
Leominster8%***8%***13%**9%*

Source: U.S. Census Bureau
Notes: Data not shown where sample sizes were too small. 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 of People Living in Poverty by Race/Ethnicity, 2018-22
AsianBlack or African AmericanHispanic or LatinoWhite
Worcester County4,5246,59221,23855,199
Athol0***15***91***1,189*
Clinton11***36***416**677*
Fitchburg52***293**2,905*2,931
Gardner171***54***445***2,314*
Northbridge4***0***209***908***
Southbridge12***95***1,528*2,183*
Spencer0***50***3***660**
Webster60***271***800**1,477*
Westborough111***14***220***607**
Worcester2,811*4,675*12,00921,108
Massachusetts50,53881,063182,449382,016
Additional Worcester County localities
Ashburnham0***12***93***391***
Auburn20***0***53***577**
Barre0***0***116***651***
Berlin0***16***0***140***
Blackstone1***8***3***433**
Bolton10***0***3***121***
Boylston0***0***6***378***
Brookfield0***5***9***218***
Charlton0***9***138***363***
Douglas0***0***99***174***
Dudley48***38***24***646*
East Brookfield0***0***2***129***
Grafton87***41***305***809**
Hardwick0***0***107***254***
Harvard0***2***4***244***
Holden73***4***18***759*
Hopedale0***0***35***226***
Hubbardston109***6***1***164***
Lancaster15***0***88***213***
Leicester0***106***64***280***
Lunenburg0***0***25***817**
Mendon0***0***1***390***
Milford15***40***264***1,840**
Millbury6***1***2***652**
Millville0***13***1***223**
New Braintree0***17***4***102***
Northborough43***257***10***260**
North Brookfield0***0***0***393***
Oakham0***2***5***67**
Oxford0***39***82***316**
Paxton0***1***7***58***
Petersham0***0***3***74***
Phillipston0***0***0***89**
Princeton0***15***14***58***
Royalston0***0***0***144***
Rutland0***0***0***140***
Shrewsbury511***82***103***806*
Southborough101***3***27***209***
Sterling22***0***27128***
Sturbridge0***1***12***393***
Sutton10***32***9***338***
Templeton0***3***4***392***
Upton0***3***0***134***
Uxbridge32***0***14***420**
Warren0***0***0***536***
West Boylston14***40***31***457**
West Brookfield0***0***19***329***
Westminster0***0***0***278***
Winchendon76***58***0***921**
Leominster99***235***780**3,011*

Source: U.S. Census Bureau
Notes: Data not shown where sample sizes were too small. 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
Arts, Entertainment and Recreation Establishments
Average Charitable Contribution
Households With Internet Access
Protected Land
Voter Participation Rate
Voter Registration Rate
Arrest Rate by Race/Ethnicity
Change in Total Population
Change in Population by Race/Ethnicity
Foreign-Born Population
Language Diversity
Population by Age
Households by Type
Single-Parent Families by Race/Ethnicity
Median Household Income
Household Income by Race/Ethnicity
80/20 Income Ratio
Income in Relation to Poverty Level
People Living in Poverty
People Living in Poverty, by Education Level
People Living in Poverty, by Age
People Living in Poverty, by Race/Ethnicity
Homeownership Rates, by Race/Ethnicity
Overall Housing Cost Burden
Cost of Rent, by Race/Ethnicity
Median Home Value by Race/Ethnicity
Homelessness
Households Receiving SNAP by Race/Ethnicity
Household Receiving Temporary Assistance
Households Without Vehicles
Education Levels of Adults by Race/Ethnicity
Change in Employment by Sector
Change in Average Salary by Sector
Female to Male Earnings Ratio
Unemployment Rate by Race/Ethnicity
Employer Size
Business Ownership, by Race/Ethnicity
Self-Employment Revenue
People Entering/Leaving County for Work
Early Prenatal Care by Mother's Race/Ethnicity
Preterm Births
Infant Mortality by Mother's Race/Ethnicity
Children with Elevated Blood Lead Levels
Prevalence of Children with Asthma
People with Disabilities
People Without Health Insurance
Cancer Incidence
Diabetes Incidence
Substance Abuse Treatment Admissions
Opioid Overdose Mortality Rate
Children Living in Poverty
Children Living in Poverty, by Race/Ethnicity
Economically Disadvantaged Students
Disengaged Youth
Prekindergarten Participation
Student Performance on Grade 3 English, by Student Subgroup
Student Performance on Grade 8 Math, by Student Subgroup
Student Performance on Grade 10 English, by Student Subgroup
Student Performance on Grade 10 Math, by Student Subgroup
High School Cohort Graduation Rate, by Student Group
Arrest Rate by Race/Ethnicity
Change in Population by Race/Ethnicity
Single-Parent Families by Race/Ethnicity
Household Income by Race/Ethnicity
People Living in Poverty, by Race/Ethnicity
Homeownership Rates, by Race/Ethnicity
Cost of Rent, by Race/Ethnicity
Median Home Value by Race/Ethnicity
Households Receiving SNAP by Race/Ethnicity
Education Levels of Adults by Race/Ethnicity
Unemployment Rate by Race/Ethnicity
Business Ownership, by Race/Ethnicity
Early Prenatal Care by Mother's Race/Ethnicity
Infant Mortality by Mother's Race/Ethnicity
Children Living in Poverty, by Race/Ethnicity
Student Performance on Grade 3 English, by Student Subgroup
Student Performance on Grade 8 Math, by Student Subgroup
Student Performance on Grade 10 English, by Student Subgroup
Student Performance on Grade 10 Math, by Student Subgroup
High School Cohort Graduation Rate, by Student Group





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