Children and Youth
Teen Pregnancy

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Teen Pregnancy

What does this measure?

The number of pregnancies among females ages 12 to 19, expressed as a percentage of females in that age group.

Why is this important?

Pregnancy can derail a young woman's life, preventing her from furthering her education or growing up to be self-sufficient. Pregnant teens are less likely to receive prenatal care, putting their babies at risk for premature births, low birth weight and infant mortality. Babies born to teen mothers are also at risk of child abuse or neglect, poor educational outcomes and living in poverty.

How is the region performing?

In 2018, the rate of teen pregnancies in the Mid-Hudson Valley region was 1.1%, similar to the statewide rate (excluding New York City) and down 2 percentage points from 2000. The region and statewide rates for 2018 were the lowest since 2000. Teen pregnancy rates were higher in Orange and Sullivan counties (1.3% and 2.0%, respectively) than in Putnam (0.3%), and Columbia and Greene (both at 0.9%).

Among the larger communities in the region in 2018, Middletown (4.3%), in Orange County and Poughkeepsie (4.0%) in Dutchess County, had the highest teen pregnancy rates, while Beacon (2.0%), in Dutchess County and Kiryas Joel (2.1%) in Orange County had the lowest.

Notes about the data

Rates do not represent a unique count of pregnancies--a female may have more than one pregnancy within a given year. Not all pregnancies result in live births.

Teen Pregnancy
2000200120022003200420052006200720082009201020112012201320142015201620172018
Region3.1%3.0%2.8%2.5%2.4%2.5%2.6%2.7%2.6%2.4%2.2%1.9%1.8%1.6%1.5%1.4%1.3%1.4%1.1%
Columbia County3.8%3.1%2.6%3.6%2.2%2.8%2.7%2.5%2.1%2.3%2.7%2.7%2.2%2.1%1.7%1.0%1.3%1.1%0.9%
Dutchess County2.8%2.7%2.4%2.0%2.2%2.2%2.4%2.2%2.0%1.8%1.7%1.5%1.3%1.4%1.2%1.1%1.0%1.1%1.0%
Greene County3.2%2.6%3.1%2.3%2.2%2.9%2.6%2.8%1.2%2.5%2.3%1.7%2.1%1.7%1.3%1.4%0.7%0.5%0.9%
Orange County3.5%3.6%3.0%2.7%2.7%2.8%2.9%3.2%3.2%3.0%2.6%2.5%2.1%1.9%1.8%1.8%1.7%1.7%1.3%
Putnam County0.5%0.8%1.2%0.8%0.6%0.8%0.6%1.1%1.0%0.6%0.7%0.5%0.5%0.5%0.6%0.3%0.4%0.4%0.3%
Sullivan County4.3%4.4%4.2%4.1%3.5%4.0%3.5%3.6%3.2%3.9%3.0%2.8%3.0%2.6%2.2%2.3%1.7%2.0%2.0%
Ulster County3.2%3.2%3.0%2.7%2.6%2.3%3.0%3.0%3.1%2.6%2.5%1.9%1.9%1.6%1.4%1.5%1.2%1.5%1.1%
NYS (excluding NYC)3.1%2.9%2.7%2.6%2.5%2.5%2.6%2.7%2.5%2.4%2.3%2.0%1.9%1.7%1.6%1.4%1.3%1.3%1.2%
Dutchess Cities
Beacon6.0%4.8%3.6%3.7%1.6%2.2%2.1%1.7%2.1%1.6%1.8%1.5%2.0%
Poughkeepsie8.7%7.2%8.1%7.3%7.9%7.0%4.5%4.9%4.0%4.4%3.9%4.9%4.0%
Orange Cities
Middletown6.7%8.6%8.2%8.9%7.3%6.1%5.5%4.3%2.9%4.4%3.2%4.6%4.3%
Newburgh8.3%8.5%8.2%8.0%6.5%6.8%5.3%5.3%5.1%4.9%5.1%3.7%3.2%
Orange Villages
Kiryas Joel1.1%1.8%1.5%0.9%2.2%2.7%2.6%1.8%2.3%2.8%3.1%3.7%2.1%
Woodbury0.0%0.0%0.0%0.0%0.0%0.1%0.3%
Ulster Cities
Kingston7.9%7.1%8.2%5.8%7.3%5.3%4.1%4.2%3.6%4.1%3.4%5.0%4.2%

Source: New York State Department of Health
Notes: Rates are percentage of all females ages 12-19. City-level pregnancy data has reliability concerns due to issues with reliable geocoding of abortions and miscarriages.




Number of Teen Pregnancies
2000200120022003200420052006200720082009201020112012201320142015201620172018
Region1,8291,8701,7501,6111,5751,6461,7341,8051,7001,5751,4111,2351,1111,009881858764792645
Columbia County1199986122769690846671787461544326322621
Dutchess County444446413349387390436400369327305270224236195185163173155
Greene County7764775756726468295752374434252613915
Orange County694730636588597626639727733669577546468419384392374367279
Putnam County22416142354534645433362827283117191816
Sullivan County173179176176151173154155137159119105112977979596868
Ulster County30031130127727324431730731225924417517514112413310413191
NYS (excluding NYC)18,41117,88117,24116,54616,10116,12117,02117,14016,28815,39714,26312,23911,48010,1819,2458,2457,7227,3206,927
Dutchess Cities
Beacon46372828121615121511121013
Poughkeepsie16313715413714612981877075668164
Orange Cities
Middletown1101411351471189989694670517368
Newburgh1801851791741391451121131071031077867
Orange Villages
Kiryas Joel18302414354442293744485833
Woodbury0000012
Ulster Cities
Kingston94849565805743423540334840

Source: New York State Department of Health
Notes: Numbers are for females ages 12-19.




INDICATORS TREND | STATE
Children Living in Poverty Increasing
Children Living in Poverty, by Race/Ethnicity Not Applicable
Single-Parent Families Increasing
Single-Parent Families, by Race/Ethnicity Not Applicable
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 Not Applicable
Population by Race/Ethnicity Not Applicable
Household Types Not Applicable
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 Not Applicable
Student Performance on Grade 4 English, by Race/Ethnicity Not Applicable
Student Performance on Grade 4 Math, by Student Group Not Applicable
Student Performance on Grade 4 Math, by Race/Ethnicity Not Applicable
High School Cohort Graduation Rate Increasing
High School Cohort Dropout Rate Decreasing
High School GED Rate Maintaining
Plans of High School Graduates Not Applicable
Education Levels of Adults Not Applicable
Education Levels of Adults, by Race/Ethnicity Not Applicable
Median Household Income Decreasing
Median Household Income, by Race/Ethnicity Not Applicable
People Living in Poverty Increasing
People Living in Poverty, by Race/Ethnicity Not Applicable
Seniors Living in Poverty Maintaining
Children Receiving Subsidized Child Care Maintaining
Veterans Living in Poverty Decreasing
Economically Disadvantaged Students Increasing
Earned Income Tax Credit Participation Decreasing
Living Wage Rate by Household Type Not Applicable
Income in Relation to Poverty Level Not Applicable
People Without Health Insurance Decreasing
Early Prenatal Care, by Mother's Race/Ethnicity Not Applicable
Domestic Violence Decreasing
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 Maintaining
Housing Affordability for Homeowners Maintaining
Housing Affordability for Renters Not Applicable
Violent Crimes Decreasing


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