Demographics details for Sylvan beach, NY vs Woodbury, VT

Population Overview

Compare main population characteristics in Sylvan beach, NY vs Woodbury, VT.

Data Sylvan beach Woodbury
Population 885 887
Median Age 50.1 years 46.0 years
Median Income $48,125 $75,000
Married Families 32.0% 60.0%
Poverty Level 10% 5%
Unemployment Rate 4.5 2.0

Population Comparison: Sylvan beach vs Woodbury

  • The population in Woodbury is higher at 887, compared to 885 in Sylvan beach.
  • Residents in Sylvan beach have a higher median age of 50.1 years compared to 46.0 years in Woodbury.
  • Woodbury has a higher median income of $75,000, compared to $48,125 in Sylvan beach.
  • In Woodbury, the percentage of married families is higher at 60.0%, compared to 32.0% in Sylvan beach.
  • Sylvan beach has a higher poverty level at 10% compared to 5% in Woodbury.
  • The unemployment rate in Sylvan beach is higher at 4.5%, compared to 2.0% in Woodbury.

Demographics

Demographics Sylvan beach vs Woodbury provide insight into the diversity of the communities to compare.

Demographic Sylvan beach Woodbury
Black Data is updating Data is updating
White 94 95
Asian 1 1
Hispanic 1 2
Two or More Races 3 1
American Indian 1 Data is updating

Demographics Comparison: Sylvan beach vs Woodbury

  • The percentage of Black residents is the same in both Sylvan beach and Woodbury at 0%.
  • The percentage of White residents is higher in Woodbury at 95% compared to 94% in Sylvan beach.
  • Both Sylvan beach and Woodbury have the same percentage of Asian residents at 1%.
  • Woodbury has a higher percentage of Hispanic residents at 2%, compared to 1% in Sylvan beach.
  • More residents identify as two or more races in Sylvan beach at 3% compared to 1% in Woodbury.
  • A greater percentage of American Indian residents live in Sylvan beach at 1% compared to 0% in Woodbury.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Sylvan beach Woodbury
Mental Health Not Good 17.8% Data is updating%
Physical Health Not Good 11.8% Data is updating%
Depression 26.8% Data is updating%
Smoking 24.0% Data is updating%
Binge Drinking 19.7% Data is updating%
Obesity 36.2% Data is updating%
Disability Percentage 20.0% Data is updating%

Health Statistics Comparison: Sylvan beach vs Woodbury

  • More residents in Sylvan beach report poor mental health at 17.8% compared to 0.0% in Woodbury.
  • Depression is more prevalent in Sylvan beach at 26.8% compared to 0.0% in Woodbury.
  • Smoking is more prevalent in Sylvan beach at 24.0% compared to 0.0% in Woodbury.
  • Binge drinking is more common in Sylvan beach at 19.7% compared to 0.0% in Woodbury.
  • Obesity rates are higher in Sylvan beach at 36.2% compared to 0.0% in Woodbury.
  • Disability percentages are higher in Sylvan beach at 20.0% compared to 0.0% in Woodbury.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Sylvan beach Woodbury
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 28.5% (252) 0.0% (Data is updating)
Less than High School 14.5% (128) 0.0% (Data is updating)
Bachelor's Degree and Higher 15.6% (138) 0.0% (Data is updating)

Education Levels Comparison: Sylvan beach vs Woodbury

  • The percentage of residents with no formal schooling is the same in both Sylvan beach and Woodbury at 0.0%.
  • A higher percentage of residents in Sylvan beach hold a high school diploma at 28.5% compared to 0.0% in Woodbury.
  • More residents in Sylvan beach have less than a high school education at 14.5% compared to 0.0% in Woodbury.
  • A higher percentage of residents in Sylvan beach hold a bachelor's degree or higher at 15.6% compared to 0.0% in Woodbury.

Crime and Safety

Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.