Demographics details for Severn, MD vs Siloam springs, AR

Population Overview

Compare main population characteristics in Severn, MD vs Siloam springs, AR.

Data Severn Siloam springs
Population 56,438 18,654
Median Age 35.9 years 30.1 years
Median Income $125,330 $59,911
Married Families 43.0% 38.0%
Poverty Level 5% 13%
Unemployment Rate 4.0 3.5

Population Comparison: Severn vs Siloam springs

  • In Severn, the population is higher at 56,438, compared to 18,654 in Siloam springs.
  • Residents in Severn have a higher median age of 35.9 years compared to 30.1 years in Siloam springs.
  • Severn has a higher median income of $125,330 compared to $59,911 in Siloam springs.
  • A higher percentage of married families is found in Severn at 43.0% compared to 38.0% in Siloam springs.
  • The poverty level is higher in Siloam springs at 13%, compared to 5% in Severn.
  • The unemployment rate in Severn is higher at 4.0%, compared to 3.5% in Siloam springs.

Demographics

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

Demographic Severn Siloam springs
Black 34 1
White 41 50
Asian 8 3
Hispanic 9 23
Two or More Races 8 20
American Indian Data is updating 3

Demographics Comparison: Severn vs Siloam springs

  • A higher percentage of Black residents are in Severn at 34% compared to 1% in Siloam springs.
  • The percentage of White residents is higher in Siloam springs at 50% compared to 41% in Severn.
  • The Asian population is larger in Severn at 8% compared to 3% in Siloam springs.
  • Siloam springs has a higher percentage of Hispanic residents at 23%, compared to 9% in Severn.
  • The percentage of residents identifying as two or more races is higher in Siloam springs at 20%, compared to 8% in Severn.
  • In Siloam springs, the percentage of American Indian residents is higher at 3%, compared to 0% in Severn.

Health Statistics

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

Health Metric Severn Siloam springs
Mental Health Not Good 14.1% 20.0%
Physical Health Not Good 8.4% 15.0%
Depression 18.2% 26.0%
Smoking 11.1% 21.6%
Binge Drinking 16.1% 14.9%
Obesity 36.0% 39.2%
Disability Percentage 8.0% 13.0%

Health Statistics Comparison: Severn vs Siloam springs

  • In Siloam springs, a higher percentage report poor mental health at 20.0% compared to 14.1% in Severn.
  • Higher depression rates are seen in Siloam springs at 26.0% versus 18.2% in Severn.
  • Siloam springs has a higher smoking rate at 21.6% compared to 11.1% in Severn.
  • Binge drinking is more common in Severn at 16.1% compared to 14.9% in Siloam springs.
  • Siloam springs has higher obesity rates at 39.2% compared to 36.0% in Severn.
  • There is a higher percentage of disabled individuals in Siloam springs at 13.0% compared to 8.0% in Severn.

Education Levels

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

Education Level Severn Siloam springs
No Schooling 0.9% (487) 3.7% (681)
High School Diploma 12.9% (7,270) 13.5% (2,510)
Less than High School 6.1% (3,423) 17.4% (3,249)
Bachelor's Degree and Higher 29.5% (16,630) 14.4% (2,680)

Education Levels Comparison: Severn vs Siloam springs

  • In Siloam springs, a larger percentage of residents lack formal schooling at 3.7% compared to 0.9% in Severn.
  • In Siloam springs, the rate of residents with high school diplomas is higher at 13.5% compared to 12.9% in Severn.
  • The percentage of residents with less than a high school education is higher in Siloam springs at 17.4%, compared to 6.1% in Severn.
  • A higher percentage of residents in Severn hold a bachelor's degree or higher at 29.5% compared to 14.4% in Siloam springs.

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.