Demographics details for Rayland, OH vs Woodbridge, VA

Population Overview

Compare main population characteristics in Rayland, OH vs Woodbridge, VA.

Data Rayland Woodbridge
Population 384 42,619
Median Age 48.5 years 34.2 years
Median Income $56,875 $93,347
Married Families 46.0% 35.0%
Poverty Level 16% 5%
Unemployment Rate 4.5 3.2

Population Comparison: Rayland vs Woodbridge

  • The population in Woodbridge is higher at 42,619, compared to 384 in Rayland.
  • Residents in Rayland have a higher median age of 48.5 years compared to 34.2 years in Woodbridge.
  • Woodbridge has a higher median income of $93,347, compared to $56,875 in Rayland.
  • A higher percentage of married families is found in Rayland at 46.0% compared to 35.0% in Woodbridge.
  • Rayland has a higher poverty level at 16% compared to 5% in Woodbridge.
  • The unemployment rate in Rayland is higher at 4.5%, compared to 3.2% in Woodbridge.

Demographics

Demographics Rayland vs Woodbridge provide insight into the diversity of the communities to compare.

Demographic Rayland Woodbridge
Black Data is updating 26
White 98 10
Asian Data is updating 9
Hispanic Data is updating 41
Two or More Races 2 13
American Indian Data is updating 1

Demographics Comparison: Rayland vs Woodbridge

  • In Woodbridge, the percentage of Black residents is higher at 26% compared to 0% in Rayland.
  • Rayland has a higher percentage of White residents at 98% compared to 10% in Woodbridge.
  • In Woodbridge, the Asian population stands at 9%, greater than 0% in Rayland.
  • Woodbridge has a higher percentage of Hispanic residents at 41%, compared to 0% in Rayland.
  • The percentage of residents identifying as two or more races is higher in Woodbridge at 13%, compared to 2% in Rayland.
  • In Woodbridge, the percentage of American Indian residents is higher at 1%, compared to 0% in Rayland.

Health Statistics

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

Health Metric Rayland Woodbridge
Mental Health Not Good 19.8% 13.3%
Physical Health Not Good 13.6% 8.3%
Depression 25.8% 17.4%
Smoking 25.7% 10.7%
Binge Drinking 18.0% 16.3%
Obesity 41.8% 34.0%
Disability Percentage 24.0% 9.0%

Health Statistics Comparison: Rayland vs Woodbridge

  • More residents in Rayland report poor mental health at 19.8% compared to 13.3% in Woodbridge.
  • Depression is more prevalent in Rayland at 25.8% compared to 17.4% in Woodbridge.
  • Smoking is more prevalent in Rayland at 25.7% compared to 10.7% in Woodbridge.
  • Binge drinking is more common in Rayland at 18.0% compared to 16.3% in Woodbridge.
  • Obesity rates are higher in Rayland at 41.8% compared to 34.0% in Woodbridge.
  • Disability percentages are higher in Rayland at 24.0% compared to 9.0% in Woodbridge.

Education Levels

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

Education Level Rayland Woodbridge
No Schooling 1.0% (4) 3.4% (1,450)
High School Diploma 35.4% (136) 15.8% (6,727)
Less than High School 9.9% (38) 17.5% (7,473)
Bachelor's Degree and Higher 7.3% (28) 20.2% (8,628)

Education Levels Comparison: Rayland vs Woodbridge

  • In Woodbridge, a larger percentage of residents lack formal schooling at 3.4% compared to 1.0% in Rayland.
  • A higher percentage of residents in Rayland hold a high school diploma at 35.4% compared to 15.8% in Woodbridge.
  • The percentage of residents with less than a high school education is higher in Woodbridge at 17.5%, compared to 9.9% in Rayland.
  • In Woodbridge, a larger share of residents have a bachelor's degree or higher at 20.2% compared to 7.3% in Rayland.

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.