Demographics details for Oceanside, NY vs Charlottesville, VA

Population Overview

Compare main population characteristics in Oceanside, NY vs Charlottesville, VA.

Data Oceanside Charlottesville
Population 31,488 45,373
Median Age 45.8 years 32.4 years
Median Income $136,997 $67,177
Married Families 50.0% 30.0%
Poverty Level 4% 12%
Unemployment Rate 3.2 2.7

Population Comparison: Oceanside vs Charlottesville

  • The population in Charlottesville is higher at 45,373, compared to 31,488 in Oceanside.
  • Residents in Oceanside have a higher median age of 45.8 years compared to 32.4 years in Charlottesville.
  • Oceanside has a higher median income of $136,997 compared to $67,177 in Charlottesville.
  • A higher percentage of married families is found in Oceanside at 50.0% compared to 30.0% in Charlottesville.
  • The poverty level is higher in Charlottesville at 12%, compared to 4% in Oceanside.
  • The unemployment rate in Oceanside is higher at 3.2%, compared to 2.7% in Charlottesville.

Demographics

Demographics Oceanside vs Charlottesville provide insight into the diversity of the communities to compare.

Demographic Oceanside Charlottesville
Black 3 18
White 71 63
Asian 3 7
Hispanic 16 6
Two or More Races 7 6
American Indian Data is updating Data is updating

Demographics Comparison: Oceanside vs Charlottesville

  • In Charlottesville, the percentage of Black residents is higher at 18% compared to 3% in Oceanside.
  • Oceanside has a higher percentage of White residents at 71% compared to 63% in Charlottesville.
  • In Charlottesville, the Asian population stands at 7%, greater than 3% in Oceanside.
  • The Hispanic community is larger in Oceanside at 16% compared to 6% in Charlottesville.
  • More residents identify as two or more races in Oceanside at 7% compared to 6% in Charlottesville.
  • The percentage of American Indian residents is the same in both Oceanside and Charlottesville at 0%.

Health Statistics

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

Health Metric Oceanside Charlottesville
Mental Health Not Good 13.7% 16.4%
Physical Health Not Good 8.3% 10.5%
Depression 17.6% 22.4%
Smoking 11.7% 15.0%
Binge Drinking 18.5% 16.7%
Obesity 26.9% 32.9%
Disability Percentage 9.0% 9.0%

Health Statistics Comparison: Oceanside vs Charlottesville

  • In Charlottesville, a higher percentage report poor mental health at 16.4% compared to 13.7% in Oceanside.
  • Higher depression rates are seen in Charlottesville at 22.4% versus 17.6% in Oceanside.
  • Charlottesville has a higher smoking rate at 15.0% compared to 11.7% in Oceanside.
  • Binge drinking is more common in Oceanside at 18.5% compared to 16.7% in Charlottesville.
  • Charlottesville has higher obesity rates at 32.9% compared to 26.9% in Oceanside.
  • Disability percentages are the same in both Oceanside and Charlottesville at 9.0%.

Education Levels

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

Education Level Oceanside Charlottesville
No Schooling 0.8% (241) 1.1% (495)
High School Diploma 16.5% (5,186) 7.8% (3,550)
Less than High School 7.5% (2,349) 7.6% (3,427)
Bachelor's Degree and Higher 34.5% (10,876) 38.2% (17,339)

Education Levels Comparison: Oceanside vs Charlottesville

  • In Charlottesville, a larger percentage of residents lack formal schooling at 1.1% compared to 0.8% in Oceanside.
  • A higher percentage of residents in Oceanside hold a high school diploma at 16.5% compared to 7.8% in Charlottesville.
  • The percentage of residents with less than a high school education is higher in Charlottesville at 7.6%, compared to 7.5% in Oceanside.
  • In Charlottesville, a larger share of residents have a bachelor's degree or higher at 38.2% compared to 34.5% in Oceanside.

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.