Financial Self-Sufficiency






Despite generally low poverty rates, Essex is an expensive county that requires a level of income that data suggests many residents and families lack.

In 2017-21, 9% of Essex County residents had incomes at or below the poverty level, similar to the state rate and less than the national level of 13%. Median incomes in Essex County were generally 15-30% higher than national levels as well, depending upon the group. 

But Essex County has pockets of poverty and stark disparities among racial and ethnic groups. In the cities of Lawrence and Lynn, poverty rates are higher.  Countywide, 16% of African Americans and 20% of Hispanics were living in poverty, compared to 7% of Asians and 8% of whites. 

Median household incomes are far higher for Asians and whites (in the $93,000-$121,000 range) than for African Americans and Hispanics ($52,000-$63,000). Single-parent households are particularly disadvantaged, with a median income for female-headed households with children of just $36,700 in 2017-21.

Actual incomes are far below what is needed to make ends meet in Essex County for some residents and families. Living wages for a family of three with a single earner (a working parent and two children) would require an annual income of more than $120,800 in Essex County – far above the actual median income for either female- or male-headed households (which is $36,700 and $53,300 respectively). 

In addition, the living wage model and income statistics suggest that a much broader group of families may find it very difficult to get by. A family of four with two earners (two working parents and two children) needs $133,300 annually, or nearly five times the poverty level, which is $27,479 for such a family. In Essex County, 65% of residents have incomes that are triple the poverty level, and 25% have incomes between 100% and 299% of poverty. While these statistics are not an exact match (mixing family and individual metrics), they do suggest that the high cost of living in Essex County prevents many from being economically secure.

In terms of participation in programs to help individuals and families facing financial challenges, Essex County has seen increases in the share of households receiving federal food assistance (SNAP). In 2017-21, 15% of households received SNAP benefits, with higher levels in Lawrence (40%) and Lynn (26%). About 4.3% of Essex County households in 2017-21 received TANF (Temporary Assistance for Needy Families), an increase from 2000 and higher than the state and nation.

About 11% of residents filed for the Earned Income Tax Credit, which provides tax credits or refunds to low-income workers. That was a bit higher than the state and lower than the nation, likely reflecting that incomes in Essex County are above national incomes.

In 2023, 47% of Essex County students were economically disadvantaged,  up from 28% in 2015. Here too, Essex County was above the state rate (42%). 

A lack of financial self-sufficiency shows up in Essex County’s statistics on homeownership and housing affordability

Home values in Essex County have risen by 38% since 2000, and at $462,900, the median home value in the county in 2017-21 was higher than both the state and the nation. This is good for homeowners, but the rising costs of homeownership can make it difficult for residents to purchase their first home. Housing affordability for homeowners, as determined by the ratio of median home value to median household income, shows that homeownership is becoming increasingly unaffordable in the county, with the value of homes rising faster than household incomes.

The same is true for renters in Essex County, who spent 38% of their household income on rent in 2017-21, higher than the state level (34%) and renters nationwide (31%).

According to the official count, homelessness is actually abating somewhat in Essex County, but the City of Lynn is an exception. The rate of homelessness in Essex (excluding the cities of Lynn and Lawrence) fell to 11 per 10,000 residents in 2020, down from a high of 26 in 2015. However in Lynn, the rate has almost quadrupled since 2007 to a rate of 103 per 10,000 in 2020.

The homeownership rate in Essex County has remained steady since 2000. In 2017-21, 64% of all homes were owner-occupied, the same rate as 2000. Despite this consistency, homeownership rates vary greatly among local areas. Only 29% of homes in Lawrence were owner-occupied in 2017-21, along with 48% in Lynn and 52% in Salem. By contrast, the homeownership rates in Boxford, Groveland, and West Newbury were over 90%. Essex County has greater racial and ethnic disparities in homeownership than the nation. In 2017-21, 70% of white and Asian residents owned their home, compared to 38% of African Americans and 31% of Hispanics. Nationwide, homeownership was higher among African American and Hispanic residents at 43% and 49% respectively.





INDICATORS TREND | ESSEX COUNTY
People 65 or Older Living Alone Decreasing
Early Prenatal Care by Mother's Race/Ethnicity Not Applicable
Prevalence of Overweight Adults Not Applicable
Preterm Births Increasing
Infant Mortality Rate Maintaining
Children with Elevated Blood Lead Levels Decreasing
Children Living in Poverty Increasing
Children Living in Poverty by Race/Ethnicity Not Applicable
Disengaged Youth Maintaining
Live Births to Teen Mothers Decreasing
Youth Arrests Decreasing
Arts, Entertainment and Recreation Establishments Maintaining
Arts, Entertainment and Recreation Employment Maintaining
Tourism Spending Increasing
Voter Participation Rate Increasing
Charitable Contributions Maintaining
Protected Land Not Applicable
Days with Good Air Quality Increasing
Beach Contamination Increasing
Daily Water Use per Resident Decreasing
Crimes Against People Maintaining
Crimes Against Property Decreasing
Drug-Related Arrests Maintaining
Reports of Domestic Violence Increasing
Incarceration Rates Decreasing
Recidivism Decreasing
Households Without Vehicles Decreasing
Means of Transportation to Work Not Applicable
Traffic Injuries and Fatalities Maintaining
Households With Internet Access Not Applicable
Change in Total Population Increasing
Change in Population by Age/Sex Not Applicable
People with Disabilities Maintaining
Households by Type Not Applicable
Single-Parent Families by Sex Not Applicable
Single-Parent Families by Race/Ethnicity Not Applicable
Change in Population by Race/Ethnicity Not Applicable
Foreign-Born Population Increasing
Language Diversity Increasing
Change in Total Jobs Increasing
Change in Jobs by Sector Not Applicable
Change in Average Salary Increasing
Change in Average Salary by Sector Not Applicable
Average Salary by Sector Not Applicable
Median Earnings by Occupation by Gender Not Applicable
People Entering/Leaving County for Work Not Applicable
Employer Size Not Applicable
Self-Employment Revenue Increasing
Business Ownership by Race/Ethnicity Not Applicable
Unemployment Rate Increasing
Unemployment Rate by Race/Ethnicity Not Applicable
Prekindergarten Participation Not Applicable
Female Enrollment in School Not Applicable
Chronically Absent Students Increasing
Per-Student Spending Increasing
Bullying Decreasing
Student Performance on Grade 3 Reading Not Applicable
Student Performance on Grade 8 Math by Student Group Not Applicable
Student Performance on Grade 10 English Language Arts Not Applicable
Student Performance on Grade 10 Math Not Applicable
High School Cohort Graduation Rate Increasing
High School Cohort Graduation Rate by Student Group Not Applicable
Education Levels of Adults Not Applicable
Bachelor's Degree or Higher by Race/Ethnicity Not Applicable
Income in Relation to Poverty Level Not Applicable
People Living in Poverty by Race/Ethnicity Not Applicable
Median Household Income Increasing
Median Household Income by Race/Ethnicity Not Applicable
Median Household Income by Household Type Not Applicable
Living Wage Rate by Household Type Not Applicable
Access to Financial Services, by Race/Ethnicity Not Applicable
Households Receiving Temporary Assistance Increasing
Households Receiving Federal Food Assistance Increasing
Participation in Food Assistance by Race/Ethnicity Not Applicable
Earned Income Tax Credit Participation Decreasing
Economically Disadvantaged Students Increasing
Median Home Value Increasing
Cost of Homeownership Increasing
Cost of Renting Increasing
Homeownership Rates Maintaining
Homeownership Rates by Race/Ethnicity Not Applicable
Homeless Persons Maintaining
People Without Health Insurance Decreasing
Medical Care Expenses Increasing
Prevalence of Children with Asthma Maintaining
Prevalence of Overweight Children Maintaining
Diabetes Incidence Decreasing
Chronic Disease Among Older Adults Increasing
Cancer Incidence Decreasing
Cancer Mortality Rate Decreasing
Heart Disease Mortality Rate Decreasing
Mortality Rate Decreasing
People who Smoke Not Applicable
Use of Illegal Drugs Not Applicable
Youth Use of Illegal Drugs Not Applicable
Substance Abuse Treatment Admissions Not Applicable
Drug Overdose Mortality Rate Increasing
Prevalence of Mental Illness Maintaining
Suicide Rate Maintaining
Children Living in Poverty by Race/Ethnicity Not Applicable
Single-Parent Families by Race/Ethnicity Not Applicable
Change in Population by Race/Ethnicity Not Applicable
Unemployment Rate by Race/Ethnicity Not Applicable
Student Performance on Grade 3 Reading Not Applicable
Student Performance on Grade 8 Math by Student Group Not Applicable
Student Performance on Grade 10 English Language Arts Not Applicable
Student Performance on Grade 10 Math Not Applicable
High School Cohort Graduation Rate by Student Group Not Applicable
Bachelor's Degree or Higher by Race/Ethnicity Not Applicable
People Living in Poverty by Race/Ethnicity Not Applicable
Median Household Income by Race/Ethnicity Not Applicable
Participation in Food Assistance by Race/Ethnicity Not Applicable
Homeownership Rates by Race/Ethnicity Not Applicable