Demographics details for Prairie village, KS vs Brownsville, TN

Population Overview

Compare main population characteristics in Prairie village, KS vs Brownsville, TN.

Data Prairie village Brownsville
Population 22,947 9,542
Median Age 40.0 years 41.1 years
Median Income $99,691 $38,662
Married Families 46.0% 25.0%
Poverty Level 5% 16%
Unemployment Rate 2.5 4.5

Population Comparison: Prairie village vs Brownsville

  • In Prairie village, the population is higher at 22,947, compared to 9,542 in Brownsville.
  • The median age in Brownsville is higher at 41.1 years, compared to 40.0 years in Prairie village.
  • Prairie village has a higher median income of $99,691 compared to $38,662 in Brownsville.
  • A higher percentage of married families is found in Prairie village at 46.0% compared to 25.0% in Brownsville.
  • The poverty level is higher in Brownsville at 16%, compared to 5% in Prairie village.
  • Brownsville has a higher unemployment rate at 4.5% compared to 2.5% in Prairie village.

Demographics

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

Demographic Prairie village Brownsville
Black 1 70
White 88 24
Asian 1 Data is updating
Hispanic 5 4
Two or More Races 5 2
American Indian Data is updating Data is updating

Demographics Comparison: Prairie village vs Brownsville

  • In Brownsville, the percentage of Black residents is higher at 70% compared to 1% in Prairie village.
  • Prairie village has a higher percentage of White residents at 88% compared to 24% in Brownsville.
  • The Asian population is larger in Prairie village at 1% compared to 0% in Brownsville.
  • The Hispanic community is larger in Prairie village at 5% compared to 4% in Brownsville.
  • More residents identify as two or more races in Prairie village at 5% compared to 2% in Brownsville.
  • The percentage of American Indian residents is the same in both Prairie village and Brownsville at 0%.

Health Statistics

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

Health Metric Prairie village Brownsville
Mental Health Not Good 11.5% 21.0%
Physical Health Not Good 6.0% 16.2%
Depression 18.6% 25.0%
Smoking 7.8% 26.8%
Binge Drinking 20.8% 11.9%
Obesity 27.3% 44.7%
Disability Percentage 8.0% 25.0%

Health Statistics Comparison: Prairie village vs Brownsville

  • In Brownsville, a higher percentage report poor mental health at 21.0% compared to 11.5% in Prairie village.
  • Higher depression rates are seen in Brownsville at 25.0% versus 18.6% in Prairie village.
  • Brownsville has a higher smoking rate at 26.8% compared to 7.8% in Prairie village.
  • Binge drinking is more common in Prairie village at 20.8% compared to 11.9% in Brownsville.
  • Brownsville has higher obesity rates at 44.7% compared to 27.3% in Prairie village.
  • There is a higher percentage of disabled individuals in Brownsville 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 Brownsville
No Schooling 0.2% (47) 0.2% (17)
High School Diploma 5.0% (1,136) 28.8% (2,746)
Less than High School 2.2% (515) 15.2% (1,453)
Bachelor's Degree and Higher 51.7% (11,869) 6.6% (630)

Education Levels Comparison: Prairie village vs Brownsville

  • The percentage of residents with no formal schooling is the same in both Prairie village and Brownsville at 0.2%.
  • In Brownsville, the rate of residents with high school diplomas is higher at 28.8% compared to 5.0% in Prairie village.
  • The percentage of residents with less than a high school education is higher in Brownsville at 15.2%, 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 6.6% in Brownsville.

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.