Demographics details for West columbia, SC vs Sylvan beach, NY

Population Overview

Compare main population characteristics in West columbia, SC vs Sylvan beach, NY.

Data West columbia Sylvan beach
Population 17,618 885
Median Age 37.3 years 50.1 years
Median Income $52,648 $48,125
Married Families 32.0% 32.0%
Poverty Level 9% 10%
Unemployment Rate 3.7 4.5

Population Comparison: West columbia vs Sylvan beach

  • In West columbia, the population is higher at 17,618, compared to 885 in Sylvan beach.
  • The median age in Sylvan beach is higher at 50.1 years, compared to 37.3 years in West columbia.
  • West columbia has a higher median income of $52,648 compared to $48,125 in Sylvan beach.
  • The percentage of married families is the same in both West columbia and Sylvan beach at 32.0%.
  • The poverty level is higher in Sylvan beach at 10%, compared to 9% in West columbia.
  • Sylvan beach has a higher unemployment rate at 4.5% compared to 3.7% in West columbia.

Demographics

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

Demographic West columbia Sylvan beach
Black 18 Data is updating
White 59 94
Asian 3 1
Hispanic 11 1
Two or More Races 9 3
American Indian Data is updating 1

Demographics Comparison: West columbia vs Sylvan beach

  • A higher percentage of Black residents are in West columbia at 18% compared to 0% in Sylvan beach.
  • The percentage of White residents is higher in Sylvan beach at 94% compared to 59% in West columbia.
  • The Asian population is larger in West columbia at 3% compared to 1% in Sylvan beach.
  • The Hispanic community is larger in West columbia at 11% compared to 1% in Sylvan beach.
  • More residents identify as two or more races in West columbia at 9% compared to 3% in Sylvan beach.
  • In Sylvan beach, the percentage of American Indian residents is higher at 1%, compared to 0% in West columbia.

Health Statistics

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

Health Metric West columbia Sylvan beach
Mental Health Not Good 18.8% 17.8%
Physical Health Not Good 12.6% 11.8%
Depression 23.3% 26.8%
Smoking 19.0% 24.0%
Binge Drinking 16.6% 19.7%
Obesity 40.2% 36.2%
Disability Percentage 15.0% 20.0%

Health Statistics Comparison: West columbia vs Sylvan beach

  • More residents in West columbia report poor mental health at 18.8% compared to 17.8% in Sylvan beach.
  • Higher depression rates are seen in Sylvan beach at 26.8% versus 23.3% in West columbia.
  • Sylvan beach has a higher smoking rate at 24.0% compared to 19.0% in West columbia.
  • More residents engage in binge drinking in Sylvan beach at 19.7% compared to 16.6% in West columbia.
  • Obesity rates are higher in West columbia at 40.2% compared to 36.2% in Sylvan beach.
  • There is a higher percentage of disabled individuals in Sylvan beach at 20.0% compared to 15.0% in West columbia.

Education Levels

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

Education Level West columbia Sylvan beach
No Schooling 0.4% (77) 0.0% (Data is updating)
High School Diploma 16.4% (2,891) 28.5% (252)
Less than High School 12.4% (2,185) 14.5% (128)
Bachelor's Degree and Higher 26.1% (4,593) 15.6% (138)

Education Levels Comparison: West columbia vs Sylvan beach

  • A higher percentage of residents in West columbia have no formal schooling at 0.4% 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 16.4% in West columbia.
  • The percentage of residents with less than a high school education is higher in Sylvan beach at 14.5%, compared to 12.4% in West columbia.
  • A higher percentage of residents in West columbia hold a bachelor's degree or higher at 26.1% 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.