Demographics details for Kingston, TN vs Prairie village, KS

Population Overview

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

Data Kingston Prairie village
Population 6,115 22,947
Median Age 44.7 years 40.0 years
Median Income $67,637 $99,691
Married Families 37.0% 46.0%
Poverty Level 12% 5%
Unemployment Rate 3.4 2.5

Population Comparison: Kingston vs Prairie village

  • The population in Prairie village is higher at 22,947, compared to 6,115 in Kingston.
  • Residents in Kingston have a higher median age of 44.7 years compared to 40.0 years in Prairie village.
  • Prairie village has a higher median income of $99,691, compared to $67,637 in Kingston.
  • In Prairie village, the percentage of married families is higher at 46.0%, compared to 37.0% in Kingston.
  • Kingston has a higher poverty level at 12% compared to 5% in Prairie village.
  • The unemployment rate in Kingston is higher at 3.4%, compared to 2.5% in Prairie village.

Demographics

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

Demographic Kingston Prairie village
Black 4 1
White 91 88
Asian Data is updating 1
Hispanic 2 5
Two or More Races 3 5
American Indian Data is updating Data is updating

Demographics Comparison: Kingston vs Prairie village

  • A higher percentage of Black residents are in Kingston at 4% compared to 1% in Prairie village.
  • Kingston has a higher percentage of White residents at 91% compared to 88% in Prairie village.
  • In Prairie village, the Asian population stands at 1%, greater than 0% in Kingston.
  • Prairie village has a higher percentage of Hispanic residents at 5%, compared to 2% in Kingston.
  • The percentage of residents identifying as two or more races is higher in Prairie village at 5%, compared to 3% in Kingston.
  • The percentage of American Indian residents is the same in both Kingston and Prairie village at 0%.

Health Statistics

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

Health Metric Kingston Prairie village
Mental Health Not Good 17.7% 11.5%
Physical Health Not Good 11.2% 6.0%
Depression 26.6% 18.6%
Smoking 18.0% 7.8%
Binge Drinking 16.9% 20.8%
Obesity 34.5% 27.3%
Disability Percentage 20.0% 8.0%

Health Statistics Comparison: Kingston vs Prairie village

  • More residents in Kingston report poor mental health at 17.7% compared to 11.5% in Prairie village.
  • Depression is more prevalent in Kingston at 26.6% compared to 18.6% in Prairie village.
  • Smoking is more prevalent in Kingston at 18.0% compared to 7.8% in Prairie village.
  • More residents engage in binge drinking in Prairie village at 20.8% compared to 16.9% in Kingston.
  • Obesity rates are higher in Kingston at 34.5% compared to 27.3% in Prairie village.
  • Disability percentages are higher in Kingston at 20.0% 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 Kingston Prairie village
No Schooling 0.4% (25) 0.2% (47)
High School Diploma 23.4% (1,433) 5.0% (1,136)
Less than High School 10.0% (613) 2.2% (515)
Bachelor's Degree and Higher 16.5% (1,009) 51.7% (11,869)

Education Levels Comparison: Kingston vs Prairie village

  • A higher percentage of residents in Kingston have no formal schooling at 0.4% compared to 0.2% in Prairie village.
  • A higher percentage of residents in Kingston hold a high school diploma at 23.4% compared to 5.0% in Prairie village.
  • More residents in Kingston have less than a high school education at 10.0% compared to 2.2% in Prairie village.
  • In Prairie village, a larger share of residents have a bachelor's degree or higher at 51.7% compared to 16.5% in Kingston.

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.