Demographics details for Smith center, KS vs West chester, OH

Population Overview

Compare main population characteristics in Smith center, KS vs West chester, OH.

Data Smith center West chester
Population 1,561 64,794
Median Age 46.6 years 38.7 years
Median Income $49,444 $106,150
Married Families 43.0% 46.0%
Poverty Level 10% 4%
Unemployment Rate 3.2 3.2

Population Comparison: Smith center vs West chester

  • The population in West chester is higher at 64,794, compared to 1,561 in Smith center.
  • Residents in Smith center have a higher median age of 46.6 years compared to 38.7 years in West chester.
  • West chester has a higher median income of $106,150, compared to $49,444 in Smith center.
  • In West chester, the percentage of married families is higher at 46.0%, compared to 43.0% in Smith center.
  • Smith center has a higher poverty level at 10% compared to 4% in West chester.
  • The unemployment rate is the same in both Smith center and West chester at 3.2%.

Demographics

Demographics Smith center vs West chester provide insight into the diversity of the communities to compare.

Demographic Smith center West chester
Black 1 9
White 94 73
Asian Data is updating 9
Hispanic 3 5
Two or More Races 2 4
American Indian Data is updating Data is updating

Demographics Comparison: Smith center vs West chester

  • In West chester, the percentage of Black residents is higher at 9% compared to 1% in Smith center.
  • Smith center has a higher percentage of White residents at 94% compared to 73% in West chester.
  • In West chester, the Asian population stands at 9%, greater than 0% in Smith center.
  • West chester has a higher percentage of Hispanic residents at 5%, compared to 3% in Smith center.
  • The percentage of residents identifying as two or more races is higher in West chester at 4%, compared to 2% in Smith center.
  • The percentage of American Indian residents is the same in both Smith center and West chester at 0%.

Health Statistics

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

Health Metric Smith center West chester
Mental Health Not Good 16.7% Data is updating%
Physical Health Not Good 10.8% Data is updating%
Depression 21.7% Data is updating%
Smoking 19.2% Data is updating%
Binge Drinking 19.0% Data is updating%
Obesity 38.8% Data is updating%
Disability Percentage 15.0% 8.0%

Health Statistics Comparison: Smith center vs West chester

  • More residents in Smith center report poor mental health at 16.7% compared to 0.0% in West chester.
  • Depression is more prevalent in Smith center at 21.7% compared to 0.0% in West chester.
  • Smoking is more prevalent in Smith center at 19.2% compared to 0.0% in West chester.
  • Binge drinking is more common in Smith center at 19.0% compared to 0.0% in West chester.
  • Obesity rates are higher in Smith center at 38.8% compared to 0.0% in West chester.
  • Disability percentages are higher in Smith center at 15.0% compared to 8.0% in West chester.

Education Levels

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

Education Level Smith center West chester
No Schooling 0.2% (3) 1.1% (725)
High School Diploma 29.4% (459) 12.3% (7,946)
Less than High School 7.6% (118) 6.8% (4,436)
Bachelor's Degree and Higher 14.8% (231) 34.7% (22,503)

Education Levels Comparison: Smith center vs West chester

  • In West chester, a larger percentage of residents lack formal schooling at 1.1% compared to 0.2% in Smith center.
  • A higher percentage of residents in Smith center hold a high school diploma at 29.4% compared to 12.3% in West chester.
  • More residents in Smith center have less than a high school education at 7.6% compared to 6.8% in West chester.
  • In West chester, a larger share of residents have a bachelor's degree or higher at 34.7% compared to 14.8% in Smith center.

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.