Demographics details for Germantown, TN vs Prairie village, KS

Population Overview

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

Data Germantown Prairie village
Population 40,816 22,947
Median Age 43.5 years 40.0 years
Median Income $140,429 $99,691
Married Families 53.0% 46.0%
Poverty Level 4% 5%
Unemployment Rate 2.9 2.5

Population Comparison: Germantown vs Prairie village

  • In Germantown, the population is higher at 40,816, compared to 22,947 in Prairie village.
  • Residents in Germantown have a higher median age of 43.5 years compared to 40.0 years in Prairie village.
  • Germantown has a higher median income of $140,429 compared to $99,691 in Prairie village.
  • A higher percentage of married families is found in Germantown at 53.0% compared to 46.0% in Prairie village.
  • The poverty level is higher in Prairie village at 5%, compared to 4% in Germantown.
  • The unemployment rate in Germantown is higher at 2.9%, compared to 2.5% in Prairie village.

Demographics

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

Demographic Germantown Prairie village
Black 5 1
White 85 88
Asian 5 1
Hispanic 2 5
Two or More Races 3 5
American Indian Data is updating Data is updating

Demographics Comparison: Germantown vs Prairie village

  • A higher percentage of Black residents are in Germantown at 5% compared to 1% in Prairie village.
  • The percentage of White residents is higher in Prairie village at 88% compared to 85% in Germantown.
  • The Asian population is larger in Germantown at 5% compared to 1% in Prairie village.
  • Prairie village has a higher percentage of Hispanic residents at 5%, compared to 2% in Germantown.
  • The percentage of residents identifying as two or more races is higher in Prairie village at 5%, compared to 3% in Germantown.
  • The percentage of American Indian residents is the same in both Germantown and Prairie village at 0%.

Health Statistics

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

Health Metric Germantown Prairie village
Mental Health Not Good 13.7% 11.5%
Physical Health Not Good 7.9% 6.0%
Depression 22.1% 18.6%
Smoking 10.1% 7.8%
Binge Drinking 18.8% 20.8%
Obesity 26.5% 27.3%
Disability Percentage 8.0% 8.0%

Health Statistics Comparison: Germantown vs Prairie village

  • More residents in Germantown report poor mental health at 13.7% compared to 11.5% in Prairie village.
  • Depression is more prevalent in Germantown at 22.1% compared to 18.6% in Prairie village.
  • Smoking is more prevalent in Germantown at 10.1% compared to 7.8% in Prairie village.
  • More residents engage in binge drinking in Prairie village at 20.8% compared to 18.8% in Germantown.
  • Prairie village has higher obesity rates at 27.3% compared to 26.5% in Germantown.
  • Disability percentages are the same in both Germantown and Prairie village at 8.0%.

Education Levels

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

Education Level Germantown Prairie village
No Schooling 0.1% (57) 0.2% (47)
High School Diploma 5.2% (2,137) 5.0% (1,136)
Less than High School 1.9% (786) 2.2% (515)
Bachelor's Degree and Higher 47.7% (19,459) 51.7% (11,869)

Education Levels Comparison: Germantown vs Prairie village

  • In Prairie village, a larger percentage of residents lack formal schooling at 0.2% compared to 0.1% in Germantown.
  • A higher percentage of residents in Germantown hold a high school diploma at 5.2% compared to 5.0% in Prairie village.
  • The percentage of residents with less than a high school education is higher in Prairie village at 2.2%, compared to 1.9% in Germantown.
  • In Prairie village, a larger share of residents have a bachelor's degree or higher at 51.7% compared to 47.7% in Germantown.

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.