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 2021, the rate of teen pregnancies in the Mid-Hudson Valley region was 0.8%, below the statewide rate (excluding New York City) of 1.0%, representing an overall decline of 58% in the rate of teen pregnancies over the previous decade (since 2011). This is modestly above the similar statewide decline of approximately 50% over the same time period. The long-term trend of declining rates of teen pregnancy continued in the latest years, with a decrease in regional teen pregnancy rates of about 10% between 2020 and 2021, slightly above a similar 8% decrease in state rates over this same period. Teen pregnancy rates were higher in Sullivan (1.7%), and Orange counties (1%) than in Putnam (0.4%).

Among the larger communities in the region in 2021, Newburgh city (2.7%) in Orange County and Poughkeepsie (3.1%) in Dutchess County had the highest teen pregnancy rates, while Beacon (1%), in Dutchess County and Woodbury (0.6%) 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. Data at the city and village level is for the 15-19 age range only.

Teen Pregnancy
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%1.3%1.1%1.0%
Dutchess Cities
Beacon city, Dutchess County6.0%4.8%3.6%3.7%1.6%2.2%2.1%1.7%2.1%1.6%1.8%1.5%2.0%2.0%1.6%1.0%
Poughkeepsie city, Dutchess County8.7%7.2%8.1%7.3%7.9%7.0%4.5%4.9%4.0%4.4%3.9%4.9%4.0%4.4%3.5%3.1%
Orange Cities
Middletown city, Orange County6.7%8.6%8.2%8.9%7.3%6.1%5.5%4.3%2.9%4.4%3.2%4.6%4.3%3.7%2.9%2.2%
Newburgh city, Orange County8.3%8.5%8.2%8.0%6.5%6.8%5.3%5.3%5.1%4.9%5.1%3.7%3.2%2.6%2.0%2.7%
Orange Villages
Kiryas Joel village, Orange County1.1%1.8%1.5%0.9%2.2%2.7%2.6%1.8%2.3%2.8%3.0%3.7%2.1%3.0%2.2%2.2%
Woodbury village, Orange County0.0%0.0%0.0%0.0%0.0%0.1%0.3%0.3%0.3%0.6%
Ulster Cities
Kingston city, Ulster County7.9%7.1%8.2%5.8%7.3%5.3%4.1%4.2%3.6%4.1%3.4%5.0%4.2%3.1%2.6%1.7%

Source: New York State Department of Health
Notes: Rates are percentage of all females ages 15-19. City-level pregnancy data has reliability concerns due to issues with reliable geocoding of abortions and miscarriages.

Number of Teen Pregnancies
NYS (excluding NYC)18,41117,88117,24116,54616,10116,12117,02117,14016,28815,39714,26312,23911,48010,1819,2458,2457,7227,3206,9276,9685,9305,750
Dutchess Cities
Beacon city, Dutchess County4637282812161512151112101313106
Poughkeepsie city, Dutchess County16313715413714612981877075668164715448
Orange Cities
Middletown city, Orange County1101411351471189989694670517368594640
Newburgh city, Orange County1801851791741391451121131071031077867544263
Orange Villages
Kiryas Joel village, Orange County18302414354442293744485833483539
Woodbury village, Orange County0000012225
Ulster Cities
Kingston city, Ulster County94849565805743423540334840292417

Source: New York State Department of Health
Notes: Numbers are for females ages 15-19.

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 Decreasing
Rate of Foster Care Admissions Decreasing
Teen Pregnancy Decreasing
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 Decreasing
Students Receiving Special Education Services Increasing
Per-Student Spending Increasing
Student Performance on Grade 4 English, by Economic Background Not Applicable
Student Performance on Grade 4 English, by Race/Ethnicity Not Applicable
Student Performance on Grade 4 Math, by Economic Background 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 Decreasing
Education Levels of Adults Not Applicable
Education Levels of Adults, by Race/Ethnicity Not Applicable
Median Household Income Maintaining
Median Household Income, by Race/Ethnicity Not Applicable
People Living in Poverty Maintaining
People Living in Poverty, by Race/Ethnicity Not Applicable
Seniors Living in Poverty Increasing
Veterans Living in Poverty Maintaining
Children Receiving Subsidized Child Care Decreasing
Students Eligible for Free/Reduced Price Lunch Increasing
Earned Income Tax Credit Participation Decreasing
People Without Health Insurance Decreasing
Deaths from Drug Overdoses Increasing
Early Prenatal Care, by Mother's Race/Ethnicity Not Applicable
Living Wage Rate by Household Type Not Applicable
Income in Relation to Poverty Level Not Applicable
Babies with Low Birth Weights Increasing
People Living wth HIV Increasing
Mental Health Clinic Visits Decreasing
Homeownership Rates Increasing
Homeless Persons Decreasing
Cost of Homeownership Maintaining
Cost of Renting Not Applicable
Violent Crimes Decreasing
Domestic Violence Decreasing
Arrest Rates, by Race/Ethnicity Not Applicable