Demographics details for Siloam springs, AR vs Shelbyville, IN

Population Overview

Compare main population characteristics in Siloam springs, AR vs Shelbyville, IN.

Data Siloam springs Shelbyville
Population 18,654 20,159
Median Age 30.1 years 35.6 years
Median Income $59,911 $55,850
Married Families 38.0% 38.0%
Poverty Level 13% 8%
Unemployment Rate 3.5 3.2

Population Comparison: Siloam springs vs Shelbyville

  • The population in Shelbyville is higher at 20,159, compared to 18,654 in Siloam springs.
  • The median age in Shelbyville is higher at 35.6 years, compared to 30.1 years in Siloam springs.
  • Siloam springs has a higher median income of $59,911 compared to $55,850 in Shelbyville.
  • The percentage of married families is the same in both Siloam springs and Shelbyville at 38.0%.
  • Siloam springs has a higher poverty level at 13% compared to 8% in Shelbyville.
  • The unemployment rate in Siloam springs is higher at 3.5%, compared to 3.2% in Shelbyville.

Demographics

Demographics Siloam springs vs Shelbyville provide insight into the diversity of the communities to compare.

Demographic Siloam springs Shelbyville
Black 1 3
White 50 83
Asian 3 2
Hispanic 23 9
Two or More Races 20 3
American Indian 3 Data is updating

Demographics Comparison: Siloam springs vs Shelbyville

  • In Shelbyville, the percentage of Black residents is higher at 3% compared to 1% in Siloam springs.
  • The percentage of White residents is higher in Shelbyville at 83% compared to 50% in Siloam springs.
  • The Asian population is larger in Siloam springs at 3% compared to 2% in Shelbyville.
  • The Hispanic community is larger in Siloam springs at 23% compared to 9% in Shelbyville.
  • More residents identify as two or more races in Siloam springs at 20% compared to 3% in Shelbyville.
  • A greater percentage of American Indian residents live in Siloam springs at 3% compared to 0% in Shelbyville.

Health Statistics

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

Health Metric Siloam springs Shelbyville
Mental Health Not Good 20.0% 18.1%
Physical Health Not Good 15.0% 12.6%
Depression 26.0% 26.8%
Smoking 21.6% 21.7%
Binge Drinking 14.9% 16.4%
Obesity 39.2% 41.5%
Disability Percentage 13.0% 15.0%

Health Statistics Comparison: Siloam springs vs Shelbyville

  • More residents in Siloam springs report poor mental health at 20.0% compared to 18.1% in Shelbyville.
  • Higher depression rates are seen in Shelbyville at 26.8% versus 26.0% in Siloam springs.
  • Shelbyville has a higher smoking rate at 21.7% compared to 21.6% in Siloam springs.
  • More residents engage in binge drinking in Shelbyville at 16.4% compared to 14.9% in Siloam springs.
  • Shelbyville has higher obesity rates at 41.5% compared to 39.2% in Siloam springs.
  • There is a higher percentage of disabled individuals in Shelbyville at 15.0% compared to 13.0% in Siloam springs.

Education Levels

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

Education Level Siloam springs Shelbyville
No Schooling 3.7% (681) 1.1% (212)
High School Diploma 13.5% (2,510) 24.9% (5,016)
Less than High School 17.4% (3,249) 17.0% (3,430)
Bachelor's Degree and Higher 14.4% (2,680) 11.8% (2,384)

Education Levels Comparison: Siloam springs vs Shelbyville

  • A higher percentage of residents in Siloam springs have no formal schooling at 3.7% compared to 1.1% in Shelbyville.
  • In Shelbyville, the rate of residents with high school diplomas is higher at 24.9% compared to 13.5% in Siloam springs.
  • More residents in Siloam springs have less than a high school education at 17.4% compared to 17.0% in Shelbyville.
  • A higher percentage of residents in Siloam springs hold a bachelor's degree or higher at 14.4% compared to 11.8% in Shelbyville.

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.