Demographics details for Spanish fork, UT vs Springfield, IL

Population Overview

Compare main population characteristics in Spanish fork, UT vs Springfield, IL.

Data Spanish fork Springfield
Population 44,102 113,273
Median Age 27.4 years 40.1 years
Median Income $93,989 $62,419
Married Families 43.0% 33.0%
Poverty Level 6% 12%
Unemployment Rate 3.8 5.8

Population Comparison: Spanish fork vs Springfield

  • The population in Springfield is higher at 113,273, compared to 44,102 in Spanish fork.
  • The median age in Springfield is higher at 40.1 years, compared to 27.4 years in Spanish fork.
  • Spanish fork has a higher median income of $93,989 compared to $62,419 in Springfield.
  • A higher percentage of married families is found in Spanish fork at 43.0% compared to 33.0% in Springfield.
  • The poverty level is higher in Springfield at 12%, compared to 6% in Spanish fork.
  • Springfield has a higher unemployment rate at 5.8% compared to 3.8% in Spanish fork.

Demographics

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

Demographic Spanish fork Springfield
Black 1 20
White 80 69
Asian Data is updating 3
Hispanic 12 3
Two or More Races 7 5
American Indian Data is updating Data is updating

Demographics Comparison: Spanish fork vs Springfield

  • In Springfield, the percentage of Black residents is higher at 20% compared to 1% in Spanish fork.
  • Spanish fork has a higher percentage of White residents at 80% compared to 69% in Springfield.
  • In Springfield, the Asian population stands at 3%, greater than 0% in Spanish fork.
  • The Hispanic community is larger in Spanish fork at 12% compared to 3% in Springfield.
  • More residents identify as two or more races in Spanish fork at 7% compared to 5% in Springfield.
  • The percentage of American Indian residents is the same in both Spanish fork and Springfield at 0%.

Health Statistics

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

Health Metric Spanish fork Springfield
Mental Health Not Good 15.0% 16.3%
Physical Health Not Good 10.8% 11.5%
Depression 23.8% 21.5%
Smoking 7.7% 17.8%
Binge Drinking 8.3% 17.4%
Obesity 31.0% 36.1%
Disability Percentage 8.0% 15.0%

Health Statistics Comparison: Spanish fork vs Springfield

  • In Springfield, a higher percentage report poor mental health at 16.3% compared to 15.0% in Spanish fork.
  • Depression is more prevalent in Spanish fork at 23.8% compared to 21.5% in Springfield.
  • Springfield has a higher smoking rate at 17.8% compared to 7.7% in Spanish fork.
  • More residents engage in binge drinking in Springfield at 17.4% compared to 8.3% in Spanish fork.
  • Springfield has higher obesity rates at 36.1% compared to 31.0% in Spanish fork.
  • There is a higher percentage of disabled individuals in Springfield at 15.0% compared to 8.0% in Spanish fork.

Education Levels

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

Education Level Spanish fork Springfield
No Schooling 0.4% (175) 0.5% (542)
High School Diploma 9.1% (4,010) 16.4% (18,528)
Less than High School 5.9% (2,583) 8.9% (10,102)
Bachelor's Degree and Higher 19.4% (8,546) 24.4% (27,677)

Education Levels Comparison: Spanish fork vs Springfield

  • In Springfield, a larger percentage of residents lack formal schooling at 0.5% compared to 0.4% in Spanish fork.
  • In Springfield, the rate of residents with high school diplomas is higher at 16.4% compared to 9.1% in Spanish fork.
  • The percentage of residents with less than a high school education is higher in Springfield at 8.9%, compared to 5.9% in Spanish fork.
  • In Springfield, a larger share of residents have a bachelor's degree or higher at 24.4% compared to 19.4% in Spanish fork.

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.