Demographics details for Prairie village, KS vs Ashton, WV

Population Overview

Compare main population characteristics in Prairie village, KS vs Ashton, WV.

Data Prairie village Ashton
Population 22,947 200
Median Age 40.0 years 38.0 years
Median Income $99,691 $50,000
Married Families 46.0% 50.0%
Poverty Level 5% 10%
Unemployment Rate 2.5 5.0

Population Comparison: Prairie village vs Ashton

  • In Prairie village, the population is higher at 22,947, compared to 200 in Ashton.
  • Residents in Prairie village have a higher median age of 40.0 years compared to 38.0 years in Ashton.
  • Prairie village has a higher median income of $99,691 compared to $50,000 in Ashton.
  • In Ashton, the percentage of married families is higher at 50.0%, compared to 46.0% in Prairie village.
  • The poverty level is higher in Ashton at 10%, compared to 5% in Prairie village.
  • Ashton has a higher unemployment rate at 5.0% compared to 2.5% in Prairie village.

Demographics

Demographics Prairie village vs Ashton provide insight into the diversity of the communities to compare.

Demographic Prairie village Ashton
Black 1 Data is updating
White 88 95
Asian 1 2
Hispanic 5 1
Two or More Races 5 2
American Indian Data is updating Data is updating

Demographics Comparison: Prairie village vs Ashton

  • A higher percentage of Black residents are in Prairie village at 1% compared to 0% in Ashton.
  • The percentage of White residents is higher in Ashton at 95% compared to 88% in Prairie village.
  • In Ashton, the Asian population stands at 2%, greater than 1% in Prairie village.
  • The Hispanic community is larger in Prairie village at 5% compared to 1% in Ashton.
  • More residents identify as two or more races in Prairie village at 5% compared to 2% in Ashton.
  • The percentage of American Indian residents is the same in both Prairie village and Ashton at 0%.

Health Statistics

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

Health Metric Prairie village Ashton
Mental Health Not Good 11.5% Data is updating%
Physical Health Not Good 6.0% Data is updating%
Depression 18.6% Data is updating%
Smoking 7.8% Data is updating%
Binge Drinking 20.8% Data is updating%
Obesity 27.3% Data is updating%
Disability Percentage 8.0% Data is updating%

Health Statistics Comparison: Prairie village vs Ashton

  • More residents in Prairie village report poor mental health at 11.5% compared to 0.0% in Ashton.
  • Depression is more prevalent in Prairie village at 18.6% compared to 0.0% in Ashton.
  • Smoking is more prevalent in Prairie village at 7.8% compared to 0.0% in Ashton.
  • Binge drinking is more common in Prairie village at 20.8% compared to 0.0% in Ashton.
  • Obesity rates are higher in Prairie village at 27.3% compared to 0.0% in Ashton.
  • Disability percentages are higher in Prairie village at 8.0% compared to 0.0% in Ashton.

Education Levels

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

Education Level Prairie village Ashton
No Schooling 0.2% (47) 0.0% (Data is updating)
High School Diploma 5.0% (1,136) 0.0% (Data is updating)
Less than High School 2.2% (515) 0.0% (Data is updating)
Bachelor's Degree and Higher 51.7% (11,869) 0.0% (Data is updating)

Education Levels Comparison: Prairie village vs Ashton

  • A higher percentage of residents in Prairie village have no formal schooling at 0.2% compared to 0.0% in Ashton.
  • A higher percentage of residents in Prairie village hold a high school diploma at 5.0% compared to 0.0% in Ashton.
  • More residents in Prairie village have less than a high school education at 2.2% compared to 0.0% in Ashton.
  • A higher percentage of residents in Prairie village hold a bachelor's degree or higher at 51.7% compared to 0.0% in Ashton.

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.