Children And Youth
Juvenile Delinquency Intakes

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Juvenile Delinquency Intakes

What does this measure?

A juvenile delinquent is a child 7 to 16 years old who has committed an act that, if committed by an adult, would constitute a crime. County probation departments are the point of entry for a juvenile delinquency case, and each case brought to probation by police or another source is called an "intake." This indicator measures the number of intakes per 10,000 children ages 7-16.

Why is this important?

Individuals who commit crimes in their youth are more likely to commit other offenses later in life.

How is the region performing?

In 2020, there were 30 juvenile delinquency intakes in the region per 10,000 juvenile residents, substantially below the state rate (excluding New York City) of 39. The rate in 2020 was a decrease from the previous year and 68% lower than in 2000.

Putnam had the lowest rate in 2020, at 14, followed by Orange, at 28, and Sullivan, at 30. Greene had the highest rate, at 48 per 10,000 juvenile residents. Sullivan and Putnam drove much of the overall regional decrease. Ulster's juvenile delinquency rate, though on an increase from 2018-2020, was the only one to increase since 2019, by 2%.

Notes about the data

These data do not reflect the ultimate disposition of the case, as not all intakes turn into juvenile delinquency cases; some are diverted into programs and never reach court. The data should not be interpreted as the number of juveniles entering the system, as the same child may have multiple intakes. Also, changes in reporting systems over the decade may affect the overall accuracy of the figures. Raise the Age legislation went into effect October 1, 2018, and changed how cases for youth age 16 at time of crime are processed. Beginning October 1, 2019, these changes also applied to youth age 17 at time of crime. Those charged with misdemeanors are processed as juvenile delinquents (JDs), and those charged with felonies are arraigned in the Youth Part of Superior Court. JD volumes for the years 2015-2017 include only 7 - 15 year olds. Counts for 2018 include a small number of 16 year olds, and the counts for 2019 include 16 year olds and a small number of 17 year olds. Because of the addition of these age groups, case processing counts increased in 2019, particularly for probation intakes and petition filings. Comparable national data were not available. Data for this indicator are expected to be released in the third quarter.

Juvenile Delinquency Intakes
Columbia County11511211516289901281351036466811042861643746343333
Dutchess County82748883756459519350453844263114204133631
Greene County136111147144116122157163156858297506979646369655248
Orange County1341049910693901018171715746343829263326213928
Putnam County46604253483453233622362216192013913172214
Sullivan County13013612416916915113512811810310373768454716852447030
Ulster County318996795490937371647875837165512652354142
NYS (excluding NYC)969189939083877880686857555148444138354939

Source: New York State Division of Probation and Correctional Alternatives
Notes: Rates per 10,000 Children ages 7-16.

Number of Juvenile Delinquent Intakes
Columbia County118115117165898912212693565566832246472732232221
Dutchess County37134041139035330027323542122419616218210612154761448128109
Greene County98811071048386110111103545158293842333234322523
Orange County833660634694612595661531460456361291215237182162201158130238175
Putnam County739869898257893860365835252830181318232818
Sullivan County15816615020620618216015013511611479808755716851446829
Ulster County8624726921814724224718818015718517318715614010954107728283
NYS (excluding NYC)16,79316,03615,77516,50915,90514,55415,02713,28013,48411,24011,1369,1748,8188,0837,3976,7016,1695,6935,1217,2015,591

Source: New York State Division of Probation and Correctional Alternatives

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
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 Increasing
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 Decreasing
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 Maintaining
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 Increasing
Mental Health Clinic Visits Decreasing
Homeownership Rates Increasing
Homeless Persons Decreasing
Housing Affordability for Homeowners Maintaining
Housing Affordability for Renters Not Applicable
Violent Crimes Decreasing