Health
Low Birth Weight Babies

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Low Birth Weight Babies

What does this measure?

The proportion of babies born with low birth weight (less than 2,500 grams or about 5.5 pounds) out of all live births.

Why is this important?

Low birth weight is a leading predictor of neonatal death. Low birth-weight infants are also more likely than normal birth-weight infants to experience long-term developmental and neurological disabilities. The Centers for Disease Control and Prevention report that maternal smoking is the cause of 20% to 30% of all low-weight births in the United States.

How is the region performing?

The proportion of babies with low birth weight in the region has remained fairly steady from 2000 to 2017 between 6.4% and 7.8%. The rate decreased slightly from 2016 to 2017 (from 7.2% to 6.9%, but is lower than the peak of 7.8% in 2014. The region's rates have typically been lower than statewide rates (excluding NYC). Of the region's counties, Dutchess had the highest rate in 2017 (8.1%) while Orange had the lowest (6.2%). followed by Columbia (6.5%). Among local areas for which data were available, the Village of Kiryas Joel had the lowest rate at 2.2% in 2017, while Poughkeepsie City (9.5%) had a higher rate.

Notes about the data

Rates based upon small numbers in some of the geographies can vary widely, making it difficult to distinguish true changes from random fluctuations.

Low Birth Weight Babies
200020012002200320042005200620072008200920102011201220132014201520162017
Region6.5%6.4%6.6%6.5%7.2%7.8%7.4%7.2%7.8%7.3%7.1%7.4%7.3%7.3%7.8%7.0%7.2%6.9%
Columbia County7.3%6.9%6.2%6.9%8.5%7.0%7.4%7.7%8.3%9.4%6.2%7.5%7.9%6.1%8.1%5.7%3.9%6.5%
Dutchess County6.6%6.1%7.0%6.7%6.3%7.5%7.6%7.1%7.2%7.1%6.6%7.5%7.0%7.3%8.6%7.3%7.2%8.1%
Greene County7.9%7.7%5.9%6.3%7.4%12.1%5.9%13.1%9.3%10.0%9.5%8.4%8.5%6.2%8.8%6.6%8.7%7.8%
Orange County6.6%6.0%6.1%6.4%7.0%7.7%6.7%6.8%7.5%7.1%6.4%7.4%7.4%7.3%6.9%6.4%7.3%6.2%
Putnam County5.9%6.7%7.2%5.9%7.0%7.5%8.3%7.1%9.3%6.7%8.4%7.2%9.4%7.5%8.1%7.1%7.2%6.6%
Sullivan County6.6%7.1%6.7%8.0%7.3%7.8%9.7%8.3%9.3%8.5%10.1%9.5%8.3%9.0%9.0%9.8%7.7%7.3%
Ulster County6.2%6.9%6.9%5.7%8.5%8.3%8.1%6.7%7.8%6.7%7.3%5.9%5.4%7.0%7.9%7.1%7.1%7.4%
NYS (excluding NYC)7.3%7.0%7.5%7.4%7.6%7.7%7.9%7.7%7.6%7.7%7.7%7.8%7.5%7.5%7.7%7.5%7.6%7.7%
U.S.7.6%7.7%7.8%7.9%8.1%8.2%8.3%8.2%8.2%8.2%8.1%8.1%8.0%8.0%8.0%8.1%8.2%8.3%
Dutchess Cities
Beacon7.5%6.3%3.4%6.8%4.9%9.3%8.7%7.7%7.8%6.8%2.3%6.7%
Poughkeepsie7.6%9.0%9.4%8.3%9.6%8.6%9.4%9.5%7.9%11.3%9.5%9.5%
Orange Cities
Middletown9.5%7.2%7.9%10.3%6.3%10.0%9.0%9.3%8.7%7.3%8.0%7.4%
Newburgh8.5%7.3%8.8%8.5%8.3%7.7%10.0%8.0%11.1%6.6%7.8%8.0%
Orange Villages
Kiryas Joel3.1%4.7%5.4%4.5%5.5%5.5%3.4%3.7%5.1%4.5%4.5%2.2%
WoodburyN/AN/AN/AN/A2.9%7.3%
Ulster Cities
Kingston8.3%5.8%8.0%8.3%10.1%3.8%6.7%8.6%8.9%6.9%8.2%8.1%

Source: New York State Department of Health
Notes: The benchmark for low birth weight is 2500 grams, or about 5.5 pounds.




Number of Low Birth Weight Babies
200020012002200320042005200620072008200920102011201220132014201520162017
Region8648308598709481,0269989621,029908879875861841897800823808
Columbia County484137445043444551533741423340302033
Dutchess County220197224221199238231218211207190200190190231190181211
Greene County383227283355266041444436352635253230
Orange County322295308331367396365362404357322360351346333308358315
Putnam County708086698278867492607862786067585953
Sullivan County556053736168947989738477797571786658
Ulster County1111251241041561481521241411141249986111120111107108
NYS (excluding NYC)10,0869,3909,9009,8229,9109,93310,23810,0059,7529,6409,4959,4099,0698,9729,2608,9659,0439,078
U.S.307,030308,747314,077324,064331,772338,565351,974354,333347,209336,747325,563319,711315,709315,099318,847320,869321,839318,873
Dutchess Cities
Beacon12116117141512121039
Poughkeepsie394847435244444536493841
Orange Cities
Middletown484042523046414032303029
Newburgh564659594943514451323938
Orange Villages
Kiryas Joel173643334546303354515426
Woodbury000039
Ulster Cities
Kingston292228273312222527212523

Source: New York State Department of Health
Notes: The benchmark for low birth weight is 2500 grams, or about 5.5 pounds.




INDICATORS TREND | STATE
Children Living in Poverty Increasing
Children Living in Poverty, by Race/Ethnicity Decreasing
Single-Parent Families Increasing
Single-Parent Families, by Race/Ethnicity Decreasing
Rate of Child Abuse and Neglect Increasing
Rate of Foster Care Admissions Maintaining
Teen Pregnancy Decreasing
Live Births to Teen Mothers Decreasing
Juvenile Delinquency Intakes Decreasing
Bullying at School Decreasing
Average Charitable Giving Increasing
Voter Registration Rate Increasing
Voter Participation Rate Decreasing
Total Population Increasing
Population by Age Decreasing
Population by Race/Ethnicity Increasing
Household Types Increasing
Change in Total Jobs Increasing
Foreign-Born Population Increasing
Employment by Sector Not Applicable
Spending for County Government Increasing
Tourism Revenue Increasing
Preschoolers Receiving Special Education Services Increasing
Prekindergarten Participation Increasing
Students Receiving Special Education Services Increasing
Per-Student Spending Increasing
Student Performance on Grade 4 English, by Student Group Increasing
Student Performance on Grade 4 English, by Race/Ethnicity Increasing
Student Performance on Grade 4 Math, by Student Group Increasing
Student Performance on Grade 4 Math, by Race/Ethnicity Increasing
High School Cohort Graduation Rate Increasing
High School Cohort Dropout Rate Decreasing
High School GED Rate Decreasing
Plans of High School Graduates Increasing
Education Levels of Adults Increasing
Education Levels of Adults, by Race/Ethnicity Increasing
Median Household Income Decreasing
Median Household Income, by Race/Ethnicity Decreasing
People Living in Poverty Increasing
People Living in Poverty, by Race/Ethnicity Increasing
Seniors Living in Poverty Decreasing
Children Receiving Subsidized Child Care Maintaining
Veterans Living in Poverty Maintaining
Economically Disadvantaged Students Increasing
Earned Income Tax Credit Participation Maintaining
Living Wage Rate by Household Type Increasing
Income in Relation to Poverty Level Maintaining
People Without Health Insurance Decreasing
Early Prenatal Care, by Mother's Race/Ethnicity Not Applicable
Domestic Violence Increasing
Deaths from Drug Overdoses Increasing
Babies with Low Birth Weights Maintaining
People Living wth HIV Decreasing
Mental Health Clinic Visits Decreasing
Homeownership Rates Maintaining
Homeless Persons Decreasing
Housing Affordability for Homeowners Maintaining
Housing Affordability for Renters Increasing
Violent Crimes Decreasing


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