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 2022, the rate of teen pregnancies in the Mid-Hudson Valley region was 0.9%, just below the statewide rate (excluding New York City) of 1%, representing an overall decline of 52% in the rate of teen pregnancies in the region over the previous decade (since 2012). This is slightly above the similar statewide decline of approximately 46% over the same time period. The trend of declining teen pregnancy rates from 2012 to 2021 has reversed slightly; in 2022, the regional teen pregnancy rate increased by about 3% compared to 2021, while the statewide rate continued to decline significantly by approximately 64%. Teen pregnancy rates were highest in Sullivan (1.3%), and Orange counties (1%) and lowest in Putnam (0.5%).

Among the larger communities in the region in 2022, Poughkeepsie (2.8%) in Dutchess County and Newburgh city (2.8%) in Orange County had the highest teen pregnancy rates, while Beacon (0.5%) in Dutchess County and Woodbury (0.9%), 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
200820092010201120122013201420152016201720182019202020212022
Region2.6%2.4%2.2%1.9%1.8%1.6%1.5%1.4%1.3%1.4%1.1%1.2%0.9%0.8%0.9%
Columbia2.1%2.3%2.7%2.7%2.2%2.1%1.7%1.0%1.3%1.1%0.9%1.3%0.9%0.6%0.9%
Dutchess2.0%1.8%1.7%1.5%1.3%1.4%1.2%1.1%1.0%1.1%1.0%1.1%0.8%0.7%0.6%
Greene1.2%2.5%2.3%1.7%2.1%1.7%1.3%1.4%0.7%0.5%0.9%1.2%1.0%0.7%0.9%
Orange3.2%3.0%2.6%2.5%2.1%1.9%1.8%1.8%1.7%1.7%1.3%1.2%1.0%1.0%1.0%
Putnam1.0%0.6%0.7%0.5%0.5%0.5%0.6%0.3%0.4%0.4%0.3%0.2%0.4%0.4%0.5%
Sullivan3.2%3.9%3.0%2.8%3.0%2.6%2.2%2.3%1.7%2.0%2.0%2.3%1.5%1.7%1.3%
Ulster3.1%2.6%2.5%1.9%1.9%1.6%1.4%1.5%1.2%1.5%1.1%1.4%0.9%0.6%0.8%
NYS (excluding NYC)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%2.8%1.0%
Dutchess Cities
Beacon city, Dutchess County3.6%3.7%1.6%2.2%2.1%1.7%2.1%1.6%1.8%1.5%2.0%2.0%1.6%0.9%0.5%
Poughkeepsie city, Dutchess County8.1%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%2.8%
Orange Cities
Middletown city, Orange County8.2%8.9%7.3%6.1%5.5%4.3%2.9%4.4%3.2%4.6%4.3%3.7%2.9%2.3%1.6%
Newburgh city, Orange County8.2%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%2.8%
Orange Villages
Kiryas Joel village, Orange County1.5%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%3.1%
Woodbury village, Orange County0.0%0.0%0.0%0.0%0.0%0.1%0.3%0.3%0.3%0.6%0.9%
Ulster Cities
Kingston city, Ulster County8.2%5.8%7.3%5.3%4.1%4.2%3.6%4.1%3.4%5.0%4.2%3.1%2.6%1.8%1.4%

Source: New York State Department of Health
Notes: Rates are percentage of all females ages 12-19.




Number of Teen Pregnancies
200820092010201120122013201420152016201720182019202020212022
Region1,7001,5751,4111,2351,1111,009881858764792645688522996509
Columbia667178746154432632262130202818
Dutchess36932730527022423619518516317315517012619893
Greene29575237443425261391519162214
Orange733669577546468419384392374367279266218482254
Putnam543336282728311719181610183621
Sullivan137159119105112977979596868805312446
Ulster312259244175175141124133104131911137110663
NYS (excluding NYC)16,28815,39714,26312,23911,48010,1819,2458,2457,7227,3206,9276,9685,9305,7505,658
Dutchess Cities
Beacon city, Dutchess County28281216151215111210131310123
Poughkeepsie city, Dutchess County1541371461298187707566816471549642
Orange Cities
Middletown city, Orange County135147118998969467051736859468029
Newburgh city, Orange County1791741391451121131071031077867544212666
Orange Villages
Kiryas Joel village, Orange County241435444229374448583348357855
Woodbury village, Orange County000001222107
Ulster Cities
Kingston city, Ulster County956580574342354033484029243413

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




INDICATORS TREND | STATE
Children Living in Poverty Decreasing
Children Living in Poverty, by Race/Ethnicity Increasing
Single-Parent Families Increasing
Single-Parent Families, by Race/Ethnicity Increasing
Rate of Child Abuse and Neglect Decreasing
Rate of Foster Care Admissions Maintaining
Teen Pregnancy Decreasing
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
Change in Jobs by Sector Increasing
Spending for County Government Maintaining
Tourism Revenue Maintaining
Preschoolers Receiving Special Education Services Increasing
Prekindergarten Participation Increasing
Students Receiving Special Education Services Increasing
Per-Student Spending Maintaining
Student Performance on Grade 4 English, by Student Group Increasing
Student Performance on Grade 4 English, by Race/Ethnicity Maintaining
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 Maintaining
Education Levels of Adults Increasing
Education Levels of Adults, by Race/Ethnicity Decreasing
Median Household Income Maintaining
Median Household Income, by Race/Ethnicity Maintaining
People Living in Poverty Maintaining
People Living in Poverty, by Race/Ethnicity Increasing
Seniors Living in Poverty Increasing
Veterans Living in Poverty Decreasing
Children Receiving Subsidized Child Care Decreasing
Economically Disadvantaged Students Increasing
Earned Income Tax Credit Participation Increasing
Living Wage Rate by Household Type Maintaining
Income in Relation to Poverty Level Increasing
Households Receiving SNAP Maintaining
People Without Health Insurance Decreasing
Early Prenatal Care, by Mother's Race/Ethnicity Not Applicable
Food Insecurity Not Applicable
Deaths from Drug Overdoses Increasing
Babies with Low Birth Weights Maintaining
Newly Diagnosed Cases of HIV Decreasing
People Living wth HIV Increasing
Mental Health Clinic Visits Maintaining
Homeownership Rates Maintaining
Homeownership Rates, by Race/Ethnicity Decreasing
Cost of Homeownership Maintaining
Cost of Rent Increasing
Cost of Rent, by Race/Ethnicity Not Applicable
Violent Crimes Decreasing
Homeless Persons Decreasing
Domestic Violence Maintaining
Arrest Rates, by Race/Ethnicity Not Applicable
Incarceration Rates, by Race/Ethnicity Decreasing
Children Living in Poverty, by Race/Ethnicity Increasing
Single-Parent Families, by Race/Ethnicity Increasing
Population by Race/Ethnicity Increasing
Student Performance on Grade 4 English, by Race/Ethnicity Maintaining
Student Performance on Grade 4 Math, by Race/Ethnicity Increasing
Education Levels of Adults, by Race/Ethnicity Decreasing
Median Household Income, by Race/Ethnicity Maintaining
People Living in Poverty, by Race/Ethnicity Increasing
Early Prenatal Care, by Mother's Race/Ethnicity Not Applicable
Homeownership Rates, by Race/Ethnicity Decreasing
Cost of Rent, by Race/Ethnicity Not Applicable
Arrest Rates, by Race/Ethnicity Not Applicable
Incarceration Rates, by Race/Ethnicity Decreasing


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