Demographics
Change in Population by Age and Gender, 2017-21





Change in Population by Age and Gender, 2017-21

What does this measure?

The growth or decline in the number of residents of a geographic area, broken down by gender and age.

Why is this important?

Population measures provide insight on the changing size and face of communities, and the distribution of population among ages affects the character of and challenges faced by a community. For example, an area with a large concentration of youth will have different service needs currently and in the future than an area with a large elderly population.

How is our county doing?

From 2000 to 2017-21 in Essex County, there was more growth in older age brackets among both males and females. Among males, the greatest increases were in the age brackets of 60-84 (62%) and 85 or older (73%), along with an increase in the population of females in both of these age brackets. There was a much smaller increase in the age brackets of 20-39 for males (5%) and for females 20-39 (1%). These were similar to trends in Massachusetts and the nation.

Within Essex County, the City of Lawrence had larger increases for both males and females in the age brackets of 40-59 (47% for females and 38% for males). There was a larger increase for males in the age brackets of 60-84 (70%).

How do we compare to similar counties?

Trends in Essex County were very similar to the comparison counties, with more growth in older populations for both males and females, and losses or small growth in younger populations.

Notes about the data

Individuals age into and out of these groups, and this indicator should not be interpreted as a measure of groups moving to or away from the region. 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.


Change in Population by Age and Gender, 2017-21
FemaleMale
Essex County, MA-3%-3%
Beverly0%-2%
Gloucester-34%-18%
Haverhill-2%6%
Lawrence3%7%
Lynn3%1%
Methuen7%10%
Newburyport21%**9%
Peabody-7%-7%
Salem-6%-14%
Andover8%-5%
Boxford-20%**-17%**
Danvers-1%-13%
Essex23%****29%**
Georgetown0%**-10%**
Groveland-19%**-21%**
Hamilton-19%-11%
Ipswich1%-13%
Lynnfield35%8%
Manchester-4%****18%**
Marblehead13%-10%
Merrimac-34%**-7%****
Middleton-21%**-14%**
Nahant-46%****-28%****
Newbury-18%**-29%**
North Andover-0%6%
Rockport-53%****-32%**
Rowley-9%**-41%**
Salisbury-31%**-11%**
Saugus-14%-5%
Swampscott-9%**-11%
Topsfield-10%**7%**
Wenham24%-11%**
West Newbury-25%**-17%**
Middlesex County, MA1%1%
Lake County, IL-6%-8%
Westchester County, NY-2%-2%
Massachusetts-4%-5%
United States4%3%

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%.




Population by Age and Gender, 2017-21
FemaleMale
Essex County, MA94,55998,927
Beverly4,8514,908
Gloucester2,3323,022
Haverhill7,8818,880
Lawrence12,88213,662
Lynn13,16513,694
Methuen6,0686,753
Newburyport2,275**2,080
Peabody5,2685,528
Salem4,4183,935
Andover4,9834,734
Boxford1,028**1,165**
Danvers3,2012,696
Essex520****543**
Georgetown1,064**1,057**
Groveland734**796**
Hamilton9681,087
Ipswich1,5981,407
Lynnfield1,9561,742
Manchester634****790**
Marblehead2,7902,381
Merrimac597**915****
Middleton700**929**
Nahant183****275****
Newbury790**686**
North Andover3,7904,450
Rockport395****633**
Rowley701**520**
Salisbury668**906**
Saugus2,4252,893
Swampscott1,659**1,648
Topsfield797**1,024**
Wenham1,014584**
West Newbury462**577**
Middlesex County, MA180,617188,724
Lake County, IL94,318100,553
Westchester County, NY119,440126,509
Massachusetts786,518815,811
United States40,526,61342,472,126

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
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