Demographics details for Falls church, VA vs Sylvan beach, NY

Population Overview

Compare main population characteristics in Falls church, VA vs Sylvan beach, NY.

Data Falls church Sylvan beach
Population 14,586 885
Median Age 38.8 years 50.1 years
Median Income $164,536 $48,125
Married Families 43.0% 32.0%
Poverty Level 6% 10%
Unemployment Rate 2.5 4.5

Population Comparison: Falls church vs Sylvan beach

  • In Falls church, the population is higher at 14,586, compared to 885 in Sylvan beach.
  • The median age in Sylvan beach is higher at 50.1 years, compared to 38.8 years in Falls church.
  • Falls church has a higher median income of $164,536 compared to $48,125 in Sylvan beach.
  • A higher percentage of married families is found in Falls church at 43.0% compared to 32.0% in Sylvan beach.
  • The poverty level is higher in Sylvan beach at 10%, compared to 6% in Falls church.
  • Sylvan beach has a higher unemployment rate at 4.5% compared to 2.5% in Falls church.

Demographics

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

Demographic Falls church Sylvan beach
Black 5 Data is updating
White 65 94
Asian 9 1
Hispanic 11 1
Two or More Races 10 3
American Indian Data is updating 1

Demographics Comparison: Falls church vs Sylvan beach

  • A higher percentage of Black residents are in Falls church at 5% compared to 0% in Sylvan beach.
  • The percentage of White residents is higher in Sylvan beach at 94% compared to 65% in Falls church.
  • The Asian population is larger in Falls church at 9% compared to 1% in Sylvan beach.
  • The Hispanic community is larger in Falls church at 11% compared to 1% in Sylvan beach.
  • More residents identify as two or more races in Falls church at 10% compared to 3% in Sylvan beach.
  • In Sylvan beach, the percentage of American Indian residents is higher at 1%, compared to 0% in Falls church.

Health Statistics

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

Health Metric Falls church Sylvan beach
Mental Health Not Good 11.9% 17.8%
Physical Health Not Good 6.5% 11.8%
Depression 19.9% 26.8%
Smoking 7.5% 24.0%
Binge Drinking 18.8% 19.7%
Obesity 30.8% 36.2%
Disability Percentage 7.0% 20.0%

Health Statistics Comparison: Falls church vs Sylvan beach

  • In Sylvan beach, a higher percentage report poor mental health at 17.8% compared to 11.9% in Falls church.
  • Higher depression rates are seen in Sylvan beach at 26.8% versus 19.9% in Falls church.
  • Sylvan beach has a higher smoking rate at 24.0% compared to 7.5% in Falls church.
  • More residents engage in binge drinking in Sylvan beach at 19.7% compared to 18.8% in Falls church.
  • Sylvan beach has higher obesity rates at 36.2% compared to 30.8% in Falls church.
  • There is a higher percentage of disabled individuals in Sylvan beach at 20.0% compared to 7.0% in Falls church.

Education Levels

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

Education Level Falls church Sylvan beach
No Schooling 0.3% (50) 0.0% (Data is updating)
High School Diploma 4.1% (597) 28.5% (252)
Less than High School 2.7% (388) 14.5% (128)
Bachelor's Degree and Higher 52.5% (7,660) 15.6% (138)

Education Levels Comparison: Falls church vs Sylvan beach

  • A higher percentage of residents in Falls church have no formal schooling at 0.3% compared to 0.0% in Sylvan beach.
  • In Sylvan beach, the rate of residents with high school diplomas is higher at 28.5% compared to 4.1% in Falls church.
  • The percentage of residents with less than a high school education is higher in Sylvan beach at 14.5%, compared to 2.7% in Falls church.
  • A higher percentage of residents in Falls church hold a bachelor's degree or higher at 52.5% compared to 15.6% in Sylvan beach.

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.