Demographics details for Virginia beach, VA vs Worcester, MA

Population Overview

Compare main population characteristics in Virginia beach, VA vs Worcester, MA.

Data Virginia beach Worcester
Population 455,618 205,319
Median Age 37.1 years 34.3 years
Median Income $87,544 $63,011
Married Families 42.0% 29.0%
Poverty Level 10% 12%
Unemployment Rate 2.8 4.8

Population Comparison: Virginia beach vs Worcester

  • In Virginia beach, the population is higher at 455,618, compared to 205,319 in Worcester.
  • Residents in Virginia beach have a higher median age of 37.1 years compared to 34.3 years in Worcester.
  • Virginia beach has a higher median income of $87,544 compared to $63,011 in Worcester.
  • A higher percentage of married families is found in Virginia beach at 42.0% compared to 29.0% in Worcester.
  • The poverty level is higher in Worcester at 12%, compared to 10% in Virginia beach.
  • Worcester has a higher unemployment rate at 4.8% compared to 2.8% in Virginia beach.

Demographics

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

Demographic Virginia beach Worcester
Black 19 13
White 56 44
Asian 7 7
Hispanic 9 24
Two or More Races 9 12
American Indian Data is updating Data is updating

Demographics Comparison: Virginia beach vs Worcester

  • A higher percentage of Black residents are in Virginia beach at 19% compared to 13% in Worcester.
  • Virginia beach has a higher percentage of White residents at 56% compared to 44% in Worcester.
  • Both Virginia beach and Worcester have the same percentage of Asian residents at 7%.
  • Worcester has a higher percentage of Hispanic residents at 24%, compared to 9% in Virginia beach.
  • The percentage of residents identifying as two or more races is higher in Worcester at 12%, compared to 9% in Virginia beach.
  • The percentage of American Indian residents is the same in both Virginia beach and Worcester at 0%.

Health Statistics

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

Health Metric Virginia beach Worcester
Mental Health Not Good 14.5% 18.7%
Physical Health Not Good 9.3% 11.8%
Depression 20.4% 23.1%
Smoking 13.7% 17.1%
Binge Drinking 16.8% 15.5%
Obesity 31.5% 34.8%
Disability Percentage 11.0% 14.0%

Health Statistics Comparison: Virginia beach vs Worcester

  • In Worcester, a higher percentage report poor mental health at 18.7% compared to 14.5% in Virginia beach.
  • Higher depression rates are seen in Worcester at 23.1% versus 20.4% in Virginia beach.
  • Worcester has a higher smoking rate at 17.1% compared to 13.7% in Virginia beach.
  • Binge drinking is more common in Virginia beach at 16.8% compared to 15.5% in Worcester.
  • Worcester has higher obesity rates at 34.8% compared to 31.5% in Virginia beach.
  • There is a higher percentage of disabled individuals in Worcester at 14.0% 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 Worcester
No Schooling 0.6% (2,931) 1.7% (3,577)
High School Diploma 11.8% (53,968) 15.6% (31,987)
Less than High School 6.0% (27,564) 16.0% (32,925)
Bachelor's Degree and Higher 27.6% (125,790) 21.5% (44,155)

Education Levels Comparison: Virginia beach vs Worcester

  • In Worcester, a larger percentage of residents lack formal schooling at 1.7% compared to 0.6% in Virginia beach.
  • In Worcester, the rate of residents with high school diplomas is higher at 15.6% compared to 11.8% in Virginia beach.
  • The percentage of residents with less than a high school education is higher in Worcester at 16.0%, 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 21.5% in Worcester.

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.