Education
Bachelor's Degree or Higher by Race/Ethnicity, 2015-19


Bachelor's Degree or Higher by Race/Ethnicity, 2015-19

What does this measure?

The number of residents with a particular level of education in a region, expressed as a percentage of all residents 25 and older, broken down by race and ethnicity.

Why is this important?

AAn educated population makes a more attractive workforce and is better prepared to instruct the next generation of residents. High educational attainment represents a region's investment in human capital and preparation for long-term growth. There are persistent gaps in academic achievement among students of different races, ethnicities and incomes, and this is likely reflected in levels of educational attainment.

How is our county doing?

The share of Essex County adults in 2015-19 with a bachelor's degree or higher was highest among Asian residents (52%), followed by white residents (43%), African American residents (25%) and Hispanic residents (12%). These proportions were similar for African American and white residents in the state, but somewhat lower for all other racial and ethnic groups. Essex had higher shares of African American and white residents with least a bachelor's degree compared to the national level, at 22% and 33%, respectively.

All groups in Essex County increased their rates of residents with a bachelor's degree or higher since 2000. Asian residents had the largest increase of 11 percentage points, while white resident increased by 10 points, African American residents increased by 8 points, and Hispanic residents by 3 points.

How do we compare to similar counties?

The comparison counties had similar racial and ethnic disparities in education levels, but varied in their extent. Essex County had lower rates of Asian and white adults with at least a bachelor's degree than all the comparison counties. The percentages of African American and Hispanic residents with bachelor's degrees in Essex was similar to Lake, IL and lower than Westchester, NY (32% and 24%, respectively) and Middlesex, MA (34% and 32%).

Why do these disparities exist?

There are a variety of factors believed to contribute to disparities in educational attainment. School systems in the United States are highly segregated, and students of color disproportionately attend schools with high proportions of low-income students who may not have benefited from early learning opportunities at the same rate as other students. Schools also have different levels of resources ranging from qualified/experienced teachers to advanced courses to facilities and technology, and schools with large Black and Latino populations often have lower levels. In addition, teachers across all school systems tend to be disproportionately white, and teaching practices and curriculum may not be culturally relevant to students of color. Low staff expectations at racially and economically segregated schools also contribute disparities in educational attainment. The accumulation of inequities leads to lower graduation rates and college matriculation, with college affordability acting as another barrier. When Black and Latino students enter higher education institutions, they are less likely to attain a college a degree given weaker academic preparation and financial hardship.

Notes about the data

Adults are people 25 and older. 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 released annually in December.

Bachelor's Degree or Higher by Race/Ethnicity, 2015-19
AsianBlack or African AmericanHispanicWhite
Essex County, MA52%25%12%43%
Amesbury76%******22%******40%******41%
Beverly59%****37%******19%****51%
Gloucester42%******23%******19%******40%
Haverhill57%****27%****14%**32%
Lawrence30%****15%****7%12%
Lynn17%20%7%**23%
Methuen45%**27%**14%**29%
Newburyport37%******42%******62%******63%
Peabody61%****18%******16%****35%
Salem59%**27%**21%**46%
Andover82%78%****65%**73%
Boxford100%******N/A******100%******67%
Danvers62%****31%******42%****43%
EssexN/A******N/A******0%******59%
Georgetown100%******75%******33%******53%
Groveland66%******N/A******39%******49%
Hamilton87%****20%******98%******68%
Ipswich55%******41%******74%******54%
Lynnfield82%****2%******40%******54%
Manchester92%******N/A******100%******71%
Marblehead67%****77%******54%****71%
Merrimac100%******N/A******19%******43%
Middleton100%******0%******7%******40%
Nahant79%******N/A******6%******57%
Newbury54%******0%******46%******53%
North Andover78%53%******36%**59%
Rockport0%******100%******52%******57%
Rowley100%******0%******44%******44%
Salisbury24%******100%******23%******35%
Saugus32%****24%******28%****29%
Swampscott35%******47%******56%******58%
Topsfield100%******67%******51%******64%
Wenham73%******90%******70%******67%
West Newbury59%******N/A******82%******63%
Middlesex County, MA70%34%32%57%
Lake County, IL72%23%12%47%
Westchester County, NY72%32%24%56%
Massachusetts61%26%20%45%
United States54%22%16%33%

Source: U.S. Census Bureau
Notes: Adults are people 25 and older. 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 Adults, with a Bachelor's Degree or Higher by Race/Ethnicity, 2015-19
AsianBlack or African AmericanHispanicWhite
Essex County, MA9,6575,15311,335194,835
Amesbury89******17******92******4,977
Beverly329****157******185****13,870
Gloucester152******76******83******8,916
Haverhill339****444****1,107**11,580
Lawrence301****438****2,8223,341
Lynn7961,6251,456**7,835
Methuen676**407**1,216**7,829
Newburyport67******65******136******8,204
Peabody312****250******439****12,489
Salem479**416**990**11,712
Andover3,042377****589**14,322
Boxford97******0******41******3,664
Danvers294****118******362****8,189
Essex0******0******0******1,558
Georgetown71******33******57******3,157
Groveland27******0******38******2,204
Hamilton218****2******56******3,434
Ipswich51******58******165******5,278
Lynnfield354****2******50******4,399
Manchester22******0******49******2,685
Marblehead159****145******260****10,137
Merrimac39******0******10******2,089
Middleton89******0******24******2,639
Nahant50******0******2******1,535
Newbury33******0******52******2,600
North Andover1,030273******361**10,434
Rockport0******4******22******3,283
Rowley36******0******11******1,915
Salisbury12******52******44******2,466
Saugus262****103******348****5,516
Swampscott88******76******129******5,884
Topsfield87******6******42******2,871
Wenham46******9******50******1,773
West Newbury10******0******47******2,050
Middlesex County, MA92,02618,33423,554504,403
Lake County, IL26,7856,7389,708168,961
Westchester County, NY30,64031,78534,666247,135
Massachusetts187,86386,68988,7361,751,903
United States6,894,3185,716,3125,469,81255,405,878

Source: U.S. Census Bureau
Notes: Adults are people 25 and older. 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.




Bachelor's Degree or Higher by Race/Ethnicity, 2000
AsianBlack or African AmericanHispanicWhite
Essex County, MA41%17%9%33%
Beverly65%23%31%36%
Gloucester49%43%16%28%
Haverhill51%25%9%24%
Lawrence14%8%6%13%
Lynn15%15%9%18%
Methuen33%13%13%23%
Newburyport51%53%23%42%
Peabody52%10%10%23%
Salem44%25%18%32%
Andover81%29%61%62%
Boxford89%N/A56%63%
Danvers61%43%26%33%
Essex68%N/AN/A36%
GeorgetownN/AN/A0%38%
GrovelandN/A0%N/A34%
Hamilton42%78%84%52%
Ipswich0%N/A25%42%
Lynnfield84%27%29%50%
Manchester100%N/AN/A56%
Marblehead74%32%59%62%
Merrimac0%N/A0%31%
Middleton31%0%0%30%
Nahant68%100%100%47%
Newbury0%0%0%45%
North Andover77%44%31%49%
Rockport13%0%100%45%
Rowley71%N/AN/A36%
Salisbury16%75%0%17%
Saugus22%24%21%19%
Swampscott23%23%31%51%
Topsfield100%100%52%51%
WenhamN/AN/AN/A51%
West Newbury0%100%29%57%
Middlesex County, MA61%30%24%44%
Lake County, IL65%17%8%41%
Westchester County, NY66%23%16%45%
Massachusetts50%20%14%34%
United States44%14%10%26%

Source: U.S. Census Bureau
Notes: Adults are people 25 and older. 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 Adults, with a Bachelor's Degree or Higher by Race/Ethnicity, 2000
AsianBlack or African AmericanHispanicWhite
Essex County, MA4,1201,6613,498143,536
Beverly176601239,737
Gloucester6367375,802
Haverhill2291562038,533
Lawrence1741301,1902,909
Lynn4357466567,565
Methuen271432636,412
Newburyport1916405,359
Peabody21424847,597
Salem2711623738,103
Andover1,0893214711,871
Boxford580253,079
Danvers9153375,699
Essex1300796
Georgetown0001,851
Groveland0001,351
Hamilton9721662,725
Ipswich00223,845
Lynnfield6412293,883
Manchester6002,068
Marblehead7513298,952
Merrimac0001,247
Middleton17001,540
Nahant53671,268
Newbury0002,033
North Andover55247688,176
Rockport50152,519
Rowley20001,285
Salisbury7210913
Saugus4520283,554
Swampscott515225,084
Topsfield349162,082
Wenham0001,217
West Newbury0851,582
Middlesex County, MA34,4188,8628,487386,677
Lake County, IL10,5163,9953,636136,689
Westchester County, NY18,57918,13313,401211,937
Massachusetts72,33438,24929,7451,278,121
United States2,925,7432,831,2691,908,03937,291,563

Source: U.S. Census Bureau
Notes: Adults are people 25 and older. 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 | ESSEX COUNTY
Prevalence of Overweight Adults Not Applicable
Early Prenatal Care by Mother's Race/Ethnicity 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
Child Abuse and Neglect Increasing
Disengaged Youth Maintaining
Live Births to Teen Mothers Decreasing
Youth Arrests Decreasing
Arts, Entertainment and Recreation Establishments Increasing
Arts, Entertainment and Recreation Employment Maintaining
Tourism Spending Increasing
Voter Participation Rate Decreasing
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 Decreasing
Crimes Against Property Decreasing
Drug-Related Arrests Maintaining
Reports of Domestic Violence Increasing
Incarceration Rates Decreasing
Recidivism Decreasing
Households Without Vehicles Maintaining
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/Gender Not Applicable
People 65 or Older Living Alone Decreasing
People with Disabilities Maintaining
Households by Type Not Applicable
Single-Parent Families by Gender 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
Unemployment Rate Maintaining
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 Maintaining
Median Household Income by Race/Ethnicity Not Applicable
Median Household Income by Household Type Not Applicable
Living Wage Rate by Household Type Not Applicable
Households Receiving Temporary Assistance Maintaining
Households Receiving Federal Food Assistance Decreasing
Participation in Food Assistance by Race/Ethnicity Not Applicable
Earned Income Tax Credit Participation Decreasing
Economically Disadvantaged Students Increasing
Median Home Value Increasing
Housing Affordability for Homeowners Increasing
Housing Affordability for Renters Increasing
Homeownership Rates Maintaining
Homeownership Rates by Race/Ethnicity Not Applicable
Homeless Persons Increasing
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