Demographics details for Springfield, IL vs Virginia beach, VA

Population Overview

Compare main population characteristics in Springfield, IL vs Virginia beach, VA.

Data Springfield Virginia beach
Population 113,273 455,618
Median Age 40.1 years 37.1 years
Median Income $62,419 $87,544
Married Families 33.0% 42.0%
Poverty Level 12% 10%
Unemployment Rate 5.8 2.8

Population Comparison: Springfield vs Virginia beach

  • The population in Virginia beach is higher at 455,618, compared to 113,273 in Springfield.
  • Residents in Springfield have a higher median age of 40.1 years compared to 37.1 years in Virginia beach.
  • Virginia beach has a higher median income of $87,544, compared to $62,419 in Springfield.
  • In Virginia beach, the percentage of married families is higher at 42.0%, compared to 33.0% in Springfield.
  • Springfield has a higher poverty level at 12% compared to 10% in Virginia beach.
  • The unemployment rate in Springfield is higher at 5.8%, compared to 2.8% in Virginia beach.

Demographics

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

Demographic Springfield Virginia beach
Black 20 19
White 69 56
Asian 3 7
Hispanic 3 9
Two or More Races 5 9
American Indian Data is updating Data is updating

Demographics Comparison: Springfield vs Virginia beach

  • A higher percentage of Black residents are in Springfield at 20% compared to 19% in Virginia beach.
  • Springfield has a higher percentage of White residents at 69% compared to 56% in Virginia beach.
  • In Virginia beach, the Asian population stands at 7%, greater than 3% in Springfield.
  • Virginia beach has a higher percentage of Hispanic residents at 9%, compared to 3% in Springfield.
  • The percentage of residents identifying as two or more races is higher in Virginia beach at 9%, compared to 5% in Springfield.
  • The percentage of American Indian residents is the same in both Springfield and Virginia beach at 0%.

Health Statistics

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

Health Metric Springfield Virginia beach
Mental Health Not Good 16.3% 14.5%
Physical Health Not Good 11.5% 9.3%
Depression 21.5% 20.4%
Smoking 17.8% 13.7%
Binge Drinking 17.4% 16.8%
Obesity 36.1% 31.5%
Disability Percentage 15.0% 11.0%

Health Statistics Comparison: Springfield vs Virginia beach

  • More residents in Springfield report poor mental health at 16.3% compared to 14.5% in Virginia beach.
  • Depression is more prevalent in Springfield at 21.5% compared to 20.4% in Virginia beach.
  • Smoking is more prevalent in Springfield at 17.8% compared to 13.7% in Virginia beach.
  • Binge drinking is more common in Springfield at 17.4% compared to 16.8% in Virginia beach.
  • Obesity rates are higher in Springfield at 36.1% compared to 31.5% in Virginia beach.
  • Disability percentages are higher in Springfield at 15.0% 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 Springfield Virginia beach
No Schooling 0.5% (542) 0.6% (2,931)
High School Diploma 16.4% (18,528) 11.8% (53,968)
Less than High School 8.9% (10,102) 6.0% (27,564)
Bachelor's Degree and Higher 24.4% (27,677) 27.6% (125,790)

Education Levels Comparison: Springfield vs Virginia beach

  • In Virginia beach, a larger percentage of residents lack formal schooling at 0.6% compared to 0.5% in Springfield.
  • A higher percentage of residents in Springfield hold a high school diploma at 16.4% compared to 11.8% in Virginia beach.
  • More residents in Springfield have less than a high school education at 8.9% compared to 6.0% in Virginia beach.
  • In Virginia beach, a larger share of residents have a bachelor's degree or higher at 27.6% compared to 24.4% in Springfield.

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.