Demographics details for Springfield, IL vs Wheeling, WV

Population Overview

Compare main population characteristics in Springfield, IL vs Wheeling, WV.

Data Springfield Wheeling
Population 113,273 26,391
Median Age 40.1 years 45.0 years
Median Income $62,419 $46,516
Married Families 33.0% 34.0%
Poverty Level 12% 18%
Unemployment Rate 5.8 4.1

Population Comparison: Springfield vs Wheeling

  • In Springfield, the population is higher at 113,273, compared to 26,391 in Wheeling.
  • The median age in Wheeling is higher at 45.0 years, compared to 40.1 years in Springfield.
  • Springfield has a higher median income of $62,419 compared to $46,516 in Wheeling.
  • In Wheeling, the percentage of married families is higher at 34.0%, compared to 33.0% in Springfield.
  • The poverty level is higher in Wheeling at 18%, compared to 12% in Springfield.
  • The unemployment rate in Springfield is higher at 5.8%, compared to 4.1% in Wheeling.

Demographics

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

Demographic Springfield Wheeling
Black 20 4
White 69 90
Asian 3 1
Hispanic 3 1
Two or More Races 5 4
American Indian Data is updating Data is updating

Demographics Comparison: Springfield vs Wheeling

  • A higher percentage of Black residents are in Springfield at 20% compared to 4% in Wheeling.
  • The percentage of White residents is higher in Wheeling at 90% compared to 69% in Springfield.
  • The Asian population is larger in Springfield at 3% compared to 1% in Wheeling.
  • The Hispanic community is larger in Springfield at 3% compared to 1% in Wheeling.
  • More residents identify as two or more races in Springfield at 5% compared to 4% in Wheeling.
  • The percentage of American Indian residents is the same in both Springfield and Wheeling at 0%.

Health Statistics

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

Health Metric Springfield Wheeling
Mental Health Not Good 16.3% 19.5%
Physical Health Not Good 11.5% 13.3%
Depression 21.5% 28.7%
Smoking 17.8% 21.0%
Binge Drinking 17.4% 14.4%
Obesity 36.1% 40.4%
Disability Percentage 15.0% 17.0%

Health Statistics Comparison: Springfield vs Wheeling

  • In Wheeling, a higher percentage report poor mental health at 19.5% compared to 16.3% in Springfield.
  • Higher depression rates are seen in Wheeling at 28.7% versus 21.5% in Springfield.
  • Wheeling has a higher smoking rate at 21.0% compared to 17.8% in Springfield.
  • Binge drinking is more common in Springfield at 17.4% compared to 14.4% in Wheeling.
  • Wheeling has higher obesity rates at 40.4% compared to 36.1% in Springfield.
  • There is a higher percentage of disabled individuals in Wheeling at 17.0% compared to 15.0% in Springfield.

Education Levels

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

Education Level Springfield Wheeling
No Schooling 0.5% (542) 0.5% (130)
High School Diploma 16.4% (18,528) 22.3% (5,888)
Less than High School 8.9% (10,102) 10.1% (2,653)
Bachelor's Degree and Higher 24.4% (27,677) 23.5% (6,209)

Education Levels Comparison: Springfield vs Wheeling

  • The percentage of residents with no formal schooling is the same in both Springfield and Wheeling at 0.5%.
  • In Wheeling, the rate of residents with high school diplomas is higher at 22.3% compared to 16.4% in Springfield.
  • The percentage of residents with less than a high school education is higher in Wheeling at 10.1%, compared to 8.9% in Springfield.
  • A higher percentage of residents in Springfield hold a bachelor's degree or higher at 24.4% compared to 23.5% in Wheeling.

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.