Demographics details for Prairie village, KS vs Canton, MS

Population Overview

Compare main population characteristics in Prairie village, KS vs Canton, MS.

Data Prairie village Canton
Population 22,947 10,744
Median Age 40.0 years 35.6 years
Median Income $99,691 $33,411
Married Families 46.0% 20.0%
Poverty Level 5% 19%
Unemployment Rate 2.5 5.2

Population Comparison: Prairie village vs Canton

  • In Prairie village, the population is higher at 22,947, compared to 10,744 in Canton.
  • Residents in Prairie village have a higher median age of 40.0 years compared to 35.6 years in Canton.
  • Prairie village has a higher median income of $99,691 compared to $33,411 in Canton.
  • A higher percentage of married families is found in Prairie village at 46.0% compared to 20.0% in Canton.
  • The poverty level is higher in Canton at 19%, compared to 5% in Prairie village.
  • Canton has a higher unemployment rate at 5.2% compared to 2.5% in Prairie village.

Demographics

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

Demographic Prairie village Canton
Black 1 76
White 88 16
Asian 1 Data is updating
Hispanic 5 7
Two or More Races 5 1
American Indian Data is updating Data is updating

Demographics Comparison: Prairie village vs Canton

  • In Canton, the percentage of Black residents is higher at 76% compared to 1% in Prairie village.
  • Prairie village has a higher percentage of White residents at 88% compared to 16% in Canton.
  • The Asian population is larger in Prairie village at 1% compared to 0% in Canton.
  • Canton has a higher percentage of Hispanic residents at 7%, compared to 5% in Prairie village.
  • More residents identify as two or more races in Prairie village at 5% compared to 1% in Canton.
  • The percentage of American Indian residents is the same in both Prairie village and Canton at 0%.

Health Statistics

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

Health Metric Prairie village Canton
Mental Health Not Good 11.5% 17.6%
Physical Health Not Good 6.0% 14.3%
Depression 18.6% 18.8%
Smoking 7.8% 21.7%
Binge Drinking 20.8% 12.6%
Obesity 27.3% 45.8%
Disability Percentage 8.0% 12.0%

Health Statistics Comparison: Prairie village vs Canton

  • In Canton, a higher percentage report poor mental health at 17.6% compared to 11.5% in Prairie village.
  • Higher depression rates are seen in Canton at 18.8% versus 18.6% in Prairie village.
  • Canton has a higher smoking rate at 21.7% compared to 7.8% in Prairie village.
  • Binge drinking is more common in Prairie village at 20.8% compared to 12.6% in Canton.
  • Canton has higher obesity rates at 45.8% compared to 27.3% in Prairie village.
  • There is a higher percentage of disabled individuals in Canton at 12.0% compared to 8.0% in Prairie village.

Education Levels

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

Education Level Prairie village Canton
No Schooling 0.2% (47) 1.0% (103)
High School Diploma 5.0% (1,136) 17.6% (1,891)
Less than High School 2.2% (515) 17.2% (1,853)
Bachelor's Degree and Higher 51.7% (11,869) 14.8% (1,587)

Education Levels Comparison: Prairie village vs Canton

  • In Canton, a larger percentage of residents lack formal schooling at 1.0% compared to 0.2% in Prairie village.
  • In Canton, the rate of residents with high school diplomas is higher at 17.6% compared to 5.0% in Prairie village.
  • The percentage of residents with less than a high school education is higher in Canton at 17.2%, compared to 2.2% in Prairie village.
  • A higher percentage of residents in Prairie village hold a bachelor's degree or higher at 51.7% compared to 14.8% in Canton.

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.