Children And Youth
Children with Elevated Blood Lead Levels


Children with Elevated Blood Lead Levels

What does this measure?

The percentage of screened children aged 9 months to 4 years that had confirmed elevated blood lead levels, expressed as a rate per 1,000 children ages 0 to 4.

Why is this important?

Exposure to lead, even small amounts, significantly increases a child's risk of developing long-lasting cognitive, physiological and behavioral problems.

How is our county doing?

In 2017, Essex County screened 73.3% of children aged 9 months to 4 years, and detected high lead levels in 71 children, for a rate of 3.1 per 1,000 children. This was lower than the statewide rate of 3.2, and a 33% decline since 2010. Within Essex County, the cities of Lynn and Lawrence had the highest rates in 2017 - at 6.9 and 4.5, respectively - although each was a reduction in rate since 2010.

How do we compare to other counties?

Essex County had a higher rate than Middlesex, MA (2.4 per 1,000) but had more improvement since 2010. The rate in Middlesex fell 23% from 2010 to 2017.

Notes on the data

Comparable data was not available for Lake, IL. Westchester County, NY data not available after 2015. A blood lead level is confirmed as elevated when there are 10 or more micrograms per deciliter of lead present in the blood specimen. Lead poisoning is confirmed at 25 and higher micrograms per deciliter, and is included in the figures.

Children with Elevated Blood Lead Levels
20102011201220132014201520162017
Essex County, MA4.63.54.53.53.83.02.83.1
Amesbury0.00.0
Beverly0.00.0
Gloucester11.18.6
Haverhill7.13.98.64.66.23.34.43.5
Lawrence6.67.67.45.64.55.35.34.5
Lynn8.35.57.26.58.66.05.56.9
Methuen4.05.23.90.72.22.40.82.4
Newburyport0.0
Peabody4.40.01.50.70.02.30.70.7
Salem1.62.43.93.23.2
Andover0.00.0
Boxford0.00.00.00.00.00.0
Danvers0.00.00.0
Essex0.03.24.43.64.63.52.43.5
Georgetown0.00.00.0
Groveland0.00.00.00.00.00.00.0
Hamilton0.00.00.00.00.00.00.0
Ipswich0.00.00.0
Lynnfield0.00.00.00.00.00.00.0
Manchester0.00.00.00.00.00.00.00.0
Marblehead0.00.00.00.0
Merrimac0.00.00.00.0
Middleton0.00.00.00.00.00.0
Nahant0.00.00.00.00.00.0
Newbury0.00.00.00.00.00.0
North Andover0.00.0
Rockport0.00.00.0
Rowley0.00.00.00.00.00.00.0
Salisbury0.00.00.00.00.00.00.0
Saugus0.0
Swampscott0.00.0
Topsfield0.00.00.00.00.00.00.00.0
Wenham0.00.00.00.00.00.00.0
West Newbury0.00.00.00.00.00.0
Middlesex County, MA3.12.82.82.32.52.42.32.4
Westchester County, NY4.24.13.35.73.92.6
Massachusetts4.43.53.73.33.83.43.73.2
United States6.05.45.85.15.15.05.0

Source: Massachusetts Center for Health Information and Analysis, New York State Department of Health, Centers for Disease Control and Prevention
Notes: Per 1,000 Children. Data not available for every geography due to nondisclosure.




Number of Children Tested with Elevated Blood Lead Levels
20102011201220132014201520162017
Essex County, MA104821038288696471
Amesbury00
Beverly00
Gloucester86
Haverhill15817912686
Lawrence2326261915171715
Lynn3321282534232127
Methuen56513313
Newburyport0
Peabody60210311
Salem23544
Andover00
Boxford000000
Danvers000
Essex05768646
Georgetown000
Groveland0000000
Hamilton0000000
Ipswich000
Lynnfield0000000
Manchester00000000
Marblehead0000
Merrimac0000
Middleton000000
Nahant000000
Newbury000000
North Andover00
Rockport000
Rowley0000000
Salisbury0000000
Saugus0
Swampscott00
Topsfield00000000
Wenham0000000
West Newbury000000
Middlesex County, MA1181001008491878690
Westchester County, NY1121088415210355
Massachusetts817628654598668594651556
United States25,61722,15217,24612,79112,94212,14912,574

Source: Massachusetts Center for Health Information and Analysis, New York State Department of Health, Centers for Disease Control and Prevention
Notes: Data not available for every geography due to nondisclosure.




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