Demographics






Population measures provide insight on the changing size and face of communities, and an area's needs and assets. In all cases, comparisons to state statistics reflect the state excluding New York City.

The total population of the Mid–Hudson Valley Region is growing. From 2010 to 2024, the region gained 3.4% more residents, higher than the state excluding NYC (1.7%), yet below the rate for the nation (10%). Orange County led the region with its 10% growth, followed by Sullivan (4%), while Dutchess and Ulster stayed relatively the same. Greene, Columbia and Putnam experienced declines of 5%, 4% and 1%, respectively.

The population over the age of 60 has been growing the fastest, while the population under 20 has been shrinking.  All counties in the region are experiencing the “graying” phenomenon affecting much of the country. Since 2010-14, the population ages 60 to 84 increased 31%, and the 85 and over age group grew 12% throughout the region. Greene had the largest increase in population over 85, at 43%. The under 20 group shrank 5% throughout the region. Columbia and Greene had the largest declines in population under age 20 (down 21% and 17% respectively) while Orange increased (5%).

While the counties are gradually becoming more diverse in terms of race and ethnicity, they remain overwhelmingly white. Despite the percentage increases in minority populations and a decline in the White population (down 12%), the region remains predominantly white, representing nearly 70% of total residents. Hispanics were the region’s fastest growing racial group, up 40% from 2010-14. The Black population increased 11% during this same time period. Putnam had the greatest increase in Hispanic and African American population, at 60% and 47% respectively. The Asian population was the next fastest growing group in the region, growing by 9%.

Regionally, married couples without children were the most common household type, similar to state and national trends. In 2020-24, 29% of households were made up of married couples without children, tied with those living alone. 20% were married couples with children. Among the counties, Ulster had the largest share of households composed of people living alone, at 34%, and Orange had the highest share of households made up of married couples with children at 26%.

The foreign-born share of the population in the region increased two percentage points from 10% in 2010-14  to 12% in 2020-24. Putnam County and Orange County had the largest share of foreign-born population (both 14%), while Greene has the smallest share (5%) in 2020-24.





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 Decreasing
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 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
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
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
Prison Sentences by Race/Ethnicity Maintaining
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 Increasing
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


Loading...