Demographics details for Spanish fork, UT vs Cullom, IL

Population Overview

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

Data Spanish fork Cullom
Population 44,102 511
Median Age 27.4 years 41.6 years
Median Income $93,989 $58,472
Married Families 43.0% 35.0%
Poverty Level 6% 9%
Unemployment Rate 3.8 3.5

Population Comparison: Spanish fork vs Cullom

  • In Spanish fork, the population is higher at 44,102, compared to 511 in Cullom.
  • The median age in Cullom is higher at 41.6 years, compared to 27.4 years in Spanish fork.
  • Spanish fork has a higher median income of $93,989 compared to $58,472 in Cullom.
  • A higher percentage of married families is found in Spanish fork at 43.0% compared to 35.0% in Cullom.
  • The poverty level is higher in Cullom at 9%, compared to 6% in Spanish fork.
  • The unemployment rate in Spanish fork is higher at 3.8%, compared to 3.5% in Cullom.

Demographics

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

Demographic Spanish fork Cullom
Black 1 Data is updating
White 80 82
Asian Data is updating Data is updating
Hispanic 12 11
Two or More Races 7 7
American Indian Data is updating Data is updating

Demographics Comparison: Spanish fork vs Cullom

  • A higher percentage of Black residents are in Spanish fork at 1% compared to 0% in Cullom.
  • The percentage of White residents is higher in Cullom at 82% compared to 80% in Spanish fork.
  • Both Spanish fork and Cullom have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in Spanish fork at 12% compared to 11% in Cullom.
  • Both Spanish fork and Cullom have the same percentage of residents identifying as two or more races at 7%.
  • The percentage of American Indian residents is the same in both Spanish fork and Cullom at 0%.

Health Statistics

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

Health Metric Spanish fork Cullom
Mental Health Not Good 15.0% 17.2%
Physical Health Not Good 10.8% 11.6%
Depression 23.8% 23.0%
Smoking 7.7% 18.7%
Binge Drinking 8.3% 17.9%
Obesity 31.0% 38.7%
Disability Percentage 8.0% 23.0%

Health Statistics Comparison: Spanish fork vs Cullom

  • In Cullom, a higher percentage report poor mental health at 17.2% compared to 15.0% in Spanish fork.
  • Depression is more prevalent in Spanish fork at 23.8% compared to 23.0% in Cullom.
  • Cullom has a higher smoking rate at 18.7% compared to 7.7% in Spanish fork.
  • More residents engage in binge drinking in Cullom at 17.9% compared to 8.3% in Spanish fork.
  • Cullom has higher obesity rates at 38.7% compared to 31.0% in Spanish fork.
  • There is a higher percentage of disabled individuals in Cullom at 23.0% 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 Cullom
No Schooling 0.4% (175) 2.2% (11)
High School Diploma 9.1% (4,010) 19.0% (97)
Less than High School 5.9% (2,583) 11.4% (58)
Bachelor's Degree and Higher 19.4% (8,546) 9.4% (48)

Education Levels Comparison: Spanish fork vs Cullom

  • In Cullom, a larger percentage of residents lack formal schooling at 2.2% compared to 0.4% in Spanish fork.
  • In Cullom, the rate of residents with high school diplomas is higher at 19.0% compared to 9.1% in Spanish fork.
  • The percentage of residents with less than a high school education is higher in Cullom at 11.4%, compared to 5.9% in Spanish fork.
  • A higher percentage of residents in Spanish fork hold a bachelor's degree or higher at 19.4% compared to 9.4% in Cullom.

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.