Demographics
Single-Parent Families by Gender, 2013-17


Single-Parent Families by Gender, 2013-17

What does this measure?

The percentage of single-parent families with children, as a percent of all families with children under 18, and broken down by the sex of the parent.

Why is this important?

Children in single-parent families are far more likely to grow up in low-income households than those living with two parents. They are at greater risk of low academic performance and behavioral problems and may experience parental conflict and residential instability as well.

How is our county doing?

In Essex County, 35% of all families were headed by single parents, including 27% headed by a female and 8% headed by a male in 2013-17. These proportions increased slightly since 2000. In raw numbers, Essex saw an increase of about 5,300 single parents during this period. In 2013-17, the number of female-headed single-parent families, 24,900, was about three and a half times as high as the number of male-headed single-parent families, 7,100. The County's rates were similar to the nation.

How do we compare to similar counties?

In 2013-17, there were smaller shares of single-parent families in Middlesex, MA (23%), Lake, IL (25%) and Westchester, NY (28%) than in Essex. In particular, there were smaller percentages of single-parent families headed by women in all three comparison counties (between 18% and 21%).

Notes about the data

The multiyear figures are from the Census Bureau's American Community Survey. The bureau combined 5 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.

Single-Parent Families by Gender, 2013-17
FemaleMale
Essex County, MA27%8%
Amesbury23%**6%******
Beverly23%**1%******
Gloucester20%**9%****
Haverhill31%12%**
Lawrence54%10%**
Lynn37%12%**
Methuen28%7%**
Newburyport19%****10%******
Peabody25%8%****
Salem38%8%****
Andover12%**6%****
Boxford12%******1%******
Danvers24%**4%******
Essex9%******8%******
Georgetown10%******5%******
Groveland7%******5%******
Hamilton11%****2%******
Ipswich20%**5%******
Lynnfield7%******2%******
Manchester14%******14%******
Marblehead10%****4%******
Merrimac12%******4%******
Middleton16%******5%******
Nahant31%******4%******
Newbury22%******2%******
North Andover16%**7%****
Rockport22%****7%******
Rowley9%******1%******
Salisbury15%******13%******
Saugus23%**11%****
Swampscott16%****4%******
Topsfield7%******2%******
Wenham9%******1%******
West Newbury7%******4%******
Middlesex County, MA18%5%
Lake County, IL19%6%
Westchester County, NY21%7%
Massachusetts26%7%
United States26%9%

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%.




Number of Single-Parent Families by Gender, 2013-17
FemaleMale
Essex County, MA24,9227,070
Amesbury527**130******
Beverly882**56******
Gloucester577**250****
Haverhill2,509934**
Lawrence5,7501,045**
Lynn4,4561,440**
Methuen1,756413**
Newburyport365****189******
Peabody1,309402****
Salem1,653362****
Andover575**279****
Boxford112******13******
Danvers735**113******
Essex42******36******
Georgetown122******63******
Groveland50******41******
Hamilton130****19******
Ipswich313**79******
Lynnfield111******32******
Manchester85******88******
Marblehead274****116******
Merrimac91******32******
Middleton159******44******
Nahant95******13******
Newbury173******12******
North Andover653**284****
Rockport151****48******
Rowley67******8******
Salisbury124******108******
Saugus647**310****
Swampscott281****63******
Topsfield61******19******
Wenham44******6******
West Newbury43******23******
Middlesex County, MA32,5379,507
Lake County, IL17,1595,827
Westchester County, NY23,9667,996
Massachusetts194,10352,235
United States9,616,7273,182,089

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%.




Single-Parent Families by Gender, 2000
FemaleMale
Essex County, MA22%5%
Beverly17%6%
Gloucester22%6%
Haverhill26%6%
Lawrence44%9%
Lynn33%8%
Methuen19%5%
Newburyport21%4%
Peabody16%4%
Salem30%5%
Andover10%3%
Boxford5%2%
Danvers17%4%
Essex6%10%
Georgetown8%4%
Groveland13%3%
Hamilton8%2%
Ipswich17%3%
Lynnfield9%2%
Manchester16%3%
Marblehead16%2%
Merrimac15%3%
Middleton7%4%
Nahant13%2%
Newbury14%4%
North Andover11%3%
Rockport15%3%
Rowley12%2%
Salisbury23%5%
Saugus15%4%
Swampscott16%2%
Topsfield5%0%
Wenham8%0%
West Newbury9%1%
Middlesex County, MA16%4%
Lake County, IL14%4%
Westchester County, NY19%4%
Massachusetts22%5%
United States23%7%

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%.




Number of Single-Parent Families by Gender, 2000
FemaleMale
Essex County, MA21,6155,056
Beverly801269
Gloucester842237
Haverhill2,176520
Lawrence4,9341,060
Lynn4,013993
Methuen1,112285
Newburyport43476
Peabody935261
Salem1,349237
Andover468118
Boxford6431
Danvers523120
Essex2642
Georgetown9341
Groveland12332
Hamilton9321
Ipswich27443
Lynnfield13529
Manchester10720
Marblehead45962
Merrimac13630
Middleton6443
Nahant519
Newbury13537
North Andover424108
Rockport13325
Rowley9712
Salisbury23756
Saugus460106
Swampscott31950
Topsfield410
Wenham431
West Newbury595
Middlesex County, MA29,3177,372
Lake County, IL13,4204,343
Westchester County, NY24,2085,229
Massachusetts178,53742,044
United States8,575,0282,526,727

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%.




INDICATORS TREND | ESSEX COUNTY
Bachelor's Degree or Higher by Race/Ethnicity 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 Decreasing
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 Decreasing
Daily Water Use per Resident Decreasing
Crimes Against People Increasing
Crimes Against Property Increasing
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 Increasing
Change in Total Population Increasing
Change in Population by Age/Gender Not Applicable
People 65 or Older Living Alone Decreasing
People with Disabilities Increasing
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 Decreasing
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 Maintaining
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
Income in Relation to Poverty Level Not Applicable
People Living in Poverty by Race/Ethnicity Not Applicable
Median Household Income Decreasing
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 Increasing
Participation in Food Assistance by Race/Ethnicity Not Applicable
Earned Income Tax Credit Participation Maintaining
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 Decreasing
Prevalence of Overweight Adults Not Applicable
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