Demographics details for Prairie village, KS vs Florence, OR

Population Overview

Compare main population characteristics in Prairie village, KS vs Florence, OR.

Data Prairie village Florence
Population 22,947 9,376
Median Age 40.0 years 57.7 years
Median Income $99,691 $57,568
Married Families 46.0% 42.0%
Poverty Level 5% 10%
Unemployment Rate 2.5 4.5

Population Comparison: Prairie village vs Florence

  • In Prairie village, the population is higher at 22,947, compared to 9,376 in Florence.
  • The median age in Florence is higher at 57.7 years, compared to 40.0 years in Prairie village.
  • Prairie village has a higher median income of $99,691 compared to $57,568 in Florence.
  • A higher percentage of married families is found in Prairie village at 46.0% compared to 42.0% in Florence.
  • The poverty level is higher in Florence at 10%, compared to 5% in Prairie village.
  • Florence has a higher unemployment rate at 4.5% compared to 2.5% in Prairie village.

Demographics

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

Demographic Prairie village Florence
Black 1 2
White 88 87
Asian 1 2
Hispanic 5 5
Two or More Races 5 3
American Indian Data is updating 1

Demographics Comparison: Prairie village vs Florence

  • In Florence, the percentage of Black residents is higher at 2% compared to 1% in Prairie village.
  • Prairie village has a higher percentage of White residents at 88% compared to 87% in Florence.
  • In Florence, the Asian population stands at 2%, greater than 1% in Prairie village.
  • The percentage of Hispanic residents is the same in both Prairie village and Florence at 5%.
  • More residents identify as two or more races in Prairie village at 5% compared to 3% in Florence.
  • In Florence, the percentage of American Indian residents is higher at 1%, compared to 0% in Prairie village.

Health Statistics

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

Health Metric Prairie village Florence
Mental Health Not Good 11.5% 19.8%
Physical Health Not Good 6.0% 13.1%
Depression 18.6% 29.2%
Smoking 7.8% 16.7%
Binge Drinking 20.8% 17.0%
Obesity 27.3% 36.0%
Disability Percentage 8.0% 25.0%

Health Statistics Comparison: Prairie village vs Florence

  • In Florence, a higher percentage report poor mental health at 19.8% compared to 11.5% in Prairie village.
  • Higher depression rates are seen in Florence at 29.2% versus 18.6% in Prairie village.
  • Florence has a higher smoking rate at 16.7% compared to 7.8% in Prairie village.
  • Binge drinking is more common in Prairie village at 20.8% compared to 17.0% in Florence.
  • Florence has higher obesity rates at 36.0% compared to 27.3% in Prairie village.
  • There is a higher percentage of disabled individuals in Florence at 25.0% 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 Florence
No Schooling 0.2% (47) 0.4% (35)
High School Diploma 5.0% (1,136) 14.2% (1,331)
Less than High School 2.2% (515) 15.6% (1,467)
Bachelor's Degree and Higher 51.7% (11,869) 19.9% (1,865)

Education Levels Comparison: Prairie village vs Florence

  • In Florence, a larger percentage of residents lack formal schooling at 0.4% compared to 0.2% in Prairie village.
  • In Florence, the rate of residents with high school diplomas is higher at 14.2% compared to 5.0% in Prairie village.
  • The percentage of residents with less than a high school education is higher in Florence at 15.6%, 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 19.9% in Florence.

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.