Demographics details for Virginia beach, VA vs Reading, PA

Population Overview

Compare main population characteristics in Virginia beach, VA vs Reading, PA.

Data Virginia beach Reading
Population 455,618 94,858
Median Age 37.1 years 31.1 years
Median Income $87,544 $42,852
Married Families 42.0% 22.0%
Poverty Level 10% 25%
Unemployment Rate 2.8 5.2

Population Comparison: Virginia beach vs Reading

  • In Virginia beach, the population is higher at 455,618, compared to 94,858 in Reading.
  • Residents in Virginia beach have a higher median age of 37.1 years compared to 31.1 years in Reading.
  • Virginia beach has a higher median income of $87,544 compared to $42,852 in Reading.
  • A higher percentage of married families is found in Virginia beach at 42.0% compared to 22.0% in Reading.
  • The poverty level is higher in Reading at 25%, compared to 10% in Virginia beach.
  • Reading has a higher unemployment rate at 5.2% compared to 2.8% in Virginia beach.

Demographics

Demographics Virginia beach vs Reading provide insight into the diversity of the communities to compare.

Demographic Virginia beach Reading
Black 19 11
White 56 60
Asian 7 1
Hispanic 9 67
Two or More Races 9 21
American Indian Data is updating 1

Demographics Comparison: Virginia beach vs Reading

  • A higher percentage of Black residents are in Virginia beach at 19% compared to 11% in Reading.
  • The percentage of White residents is higher in Reading at 60% compared to 56% in Virginia beach.
  • The Asian population is larger in Virginia beach at 7% compared to 1% in Reading.
  • Reading has a higher percentage of Hispanic residents at 67%, compared to 9% in Virginia beach.
  • The percentage of residents identifying as two or more races is higher in Reading at 21%, compared to 9% in Virginia beach.
  • In Reading, the percentage of American Indian residents is higher at 1%, compared to 0% in Virginia beach.

Health Statistics

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

Health Metric Virginia beach Reading
Mental Health Not Good 14.5% 19.7%
Physical Health Not Good 9.3% 18.1%
Depression 20.4% 23.1%
Smoking 13.7% 26.5%
Binge Drinking 16.8% 13.0%
Obesity 31.5% 44.7%
Disability Percentage 11.0% 20.0%

Health Statistics Comparison: Virginia beach vs Reading

  • In Reading, a higher percentage report poor mental health at 19.7% compared to 14.5% in Virginia beach.
  • Higher depression rates are seen in Reading at 23.1% versus 20.4% in Virginia beach.
  • Reading has a higher smoking rate at 26.5% compared to 13.7% in Virginia beach.
  • Binge drinking is more common in Virginia beach at 16.8% compared to 13.0% in Reading.
  • Reading has higher obesity rates at 44.7% compared to 31.5% in Virginia beach.
  • There is a higher percentage of disabled individuals in Reading at 20.0% compared to 11.0% in Virginia beach.

Education Levels

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

Education Level Virginia beach Reading
No Schooling 0.6% (2,931) 2.6% (2,442)
High School Diploma 11.8% (53,968) 17.8% (16,896)
Less than High School 6.0% (27,564) 32.2% (30,522)
Bachelor's Degree and Higher 27.6% (125,790) 6.9% (6,512)

Education Levels Comparison: Virginia beach vs Reading

  • In Reading, a larger percentage of residents lack formal schooling at 2.6% compared to 0.6% in Virginia beach.
  • In Reading, the rate of residents with high school diplomas is higher at 17.8% compared to 11.8% in Virginia beach.
  • The percentage of residents with less than a high school education is higher in Reading at 32.2%, compared to 6.0% in Virginia beach.
  • A higher percentage of residents in Virginia beach hold a bachelor's degree or higher at 27.6% compared to 6.9% in Reading.

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.