Demographics details for Siloam springs, AR vs Washington, MO

Population Overview

Compare main population characteristics in Siloam springs, AR vs Washington, MO.

Data Siloam springs Washington
Population 18,654 15,075
Median Age 30.1 years 40.9 years
Median Income $59,911 $75,127
Married Families 38.0% 41.0%
Poverty Level 13% 8%
Unemployment Rate 3.5 2.5

Population Comparison: Siloam springs vs Washington

  • In Siloam springs, the population is higher at 18,654, compared to 15,075 in Washington.
  • The median age in Washington is higher at 40.9 years, compared to 30.1 years in Siloam springs.
  • Washington has a higher median income of $75,127, compared to $59,911 in Siloam springs.
  • In Washington, the percentage of married families is higher at 41.0%, compared to 38.0% in Siloam springs.
  • Siloam springs has a higher poverty level at 13% compared to 8% in Washington.
  • The unemployment rate in Siloam springs is higher at 3.5%, compared to 2.5% in Washington.

Demographics

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

Demographic Siloam springs Washington
Black 1 Data is updating
White 50 91
Asian 3 Data is updating
Hispanic 23 2
Two or More Races 20 7
American Indian 3 Data is updating

Demographics Comparison: Siloam springs vs Washington

  • A higher percentage of Black residents are in Siloam springs at 1% compared to 0% in Washington.
  • The percentage of White residents is higher in Washington at 91% compared to 50% in Siloam springs.
  • The Asian population is larger in Siloam springs at 3% compared to 0% in Washington.
  • The Hispanic community is larger in Siloam springs at 23% compared to 2% in Washington.
  • More residents identify as two or more races in Siloam springs at 20% compared to 7% in Washington.
  • A greater percentage of American Indian residents live in Siloam springs at 3% compared to 0% in Washington.

Health Statistics

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

Health Metric Siloam springs Washington
Mental Health Not Good 20.0% 16.8%
Physical Health Not Good 15.0% 11.0%
Depression 26.0% 24.6%
Smoking 21.6% 18.3%
Binge Drinking 14.9% 19.8%
Obesity 39.2% 36.6%
Disability Percentage 13.0% 14.0%

Health Statistics Comparison: Siloam springs vs Washington

  • More residents in Siloam springs report poor mental health at 20.0% compared to 16.8% in Washington.
  • Depression is more prevalent in Siloam springs at 26.0% compared to 24.6% in Washington.
  • Smoking is more prevalent in Siloam springs at 21.6% compared to 18.3% in Washington.
  • More residents engage in binge drinking in Washington at 19.8% compared to 14.9% in Siloam springs.
  • Obesity rates are higher in Siloam springs at 39.2% compared to 36.6% in Washington.
  • There is a higher percentage of disabled individuals in Washington at 14.0% 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 Washington
No Schooling 3.7% (681) 0.3% (41)
High School Diploma 13.5% (2,510) 15.0% (2,260)
Less than High School 17.4% (3,249) 8.7% (1,311)
Bachelor's Degree and Higher 14.4% (2,680) 18.8% (2,838)

Education Levels Comparison: Siloam springs vs Washington

  • A higher percentage of residents in Siloam springs have no formal schooling at 3.7% compared to 0.3% in Washington.
  • In Washington, the rate of residents with high school diplomas is higher at 15.0% compared to 13.5% in Siloam springs.
  • More residents in Siloam springs have less than a high school education at 17.4% compared to 8.7% in Washington.
  • In Washington, a larger share of residents have a bachelor's degree or higher at 18.8% 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.