Demographics details for Thompsons station, TN vs Keizer, OR

Population Overview

Compare main population characteristics in Thompsons station, TN vs Keizer, OR.

Data Thompsons station Keizer
Population 8,199 38,704
Median Age 36.1 years 35.8 years
Median Income $116,569 $75,753
Married Families 44.0% 38.0%
Poverty Level 3% 10%
Unemployment Rate 2.6 3.6

Population Comparison: Thompsons station vs Keizer

  • The population in Keizer is higher at 38,704, compared to 8,199 in Thompsons station.
  • Residents in Thompsons station have a higher median age of 36.1 years compared to 35.8 years in Keizer.
  • Thompsons station has a higher median income of $116,569 compared to $75,753 in Keizer.
  • A higher percentage of married families is found in Thompsons station at 44.0% compared to 38.0% in Keizer.
  • The poverty level is higher in Keizer at 10%, compared to 3% in Thompsons station.
  • Keizer has a higher unemployment rate at 3.6% compared to 2.6% in Thompsons station.

Demographics

Demographics Thompsons station vs Keizer provide insight into the diversity of the communities to compare.

Demographic Thompsons station Keizer
Black 2 1
White 84 58
Asian 4 1
Hispanic 1 25
Two or More Races 11 14
American Indian Data is updating 1

Demographics Comparison: Thompsons station vs Keizer

  • A higher percentage of Black residents are in Thompsons station at 2% compared to 1% in Keizer.
  • Thompsons station has a higher percentage of White residents at 84% compared to 58% in Keizer.
  • The Asian population is larger in Thompsons station at 4% compared to 1% in Keizer.
  • Keizer has a higher percentage of Hispanic residents at 25%, compared to 1% in Thompsons station.
  • The percentage of residents identifying as two or more races is higher in Keizer at 14%, compared to 11% in Thompsons station.
  • In Keizer, the percentage of American Indian residents is higher at 1%, compared to 0% in Thompsons station.

Health Statistics

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

Health Metric Thompsons station Keizer
Mental Health Not Good 15.1% 17.9%
Physical Health Not Good 9.3% 11.4%
Depression 24.3% 28.5%
Smoking 13.5% 15.4%
Binge Drinking 17.0% 16.5%
Obesity 29.2% 35.7%
Disability Percentage 5.0% 16.0%

Health Statistics Comparison: Thompsons station vs Keizer

  • In Keizer, a higher percentage report poor mental health at 17.9% compared to 15.1% in Thompsons station.
  • Higher depression rates are seen in Keizer at 28.5% versus 24.3% in Thompsons station.
  • Keizer has a higher smoking rate at 15.4% compared to 13.5% in Thompsons station.
  • Binge drinking is more common in Thompsons station at 17.0% compared to 16.5% in Keizer.
  • Keizer has higher obesity rates at 35.7% compared to 29.2% in Thompsons station.
  • There is a higher percentage of disabled individuals in Keizer at 16.0% compared to 5.0% in Thompsons station.

Education Levels

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

Education Level Thompsons station Keizer
No Schooling 0.6% (51) 1.8% (685)
High School Diploma 11.2% (920) 12.7% (4,898)
Less than High School 4.1% (340) 13.9% (5,363)
Bachelor's Degree and Higher 33.2% (2,725) 17.1% (6,617)

Education Levels Comparison: Thompsons station vs Keizer

  • In Keizer, a larger percentage of residents lack formal schooling at 1.8% compared to 0.6% in Thompsons station.
  • In Keizer, the rate of residents with high school diplomas is higher at 12.7% compared to 11.2% in Thompsons station.
  • The percentage of residents with less than a high school education is higher in Keizer at 13.9%, compared to 4.1% in Thompsons station.
  • A higher percentage of residents in Thompsons station hold a bachelor's degree or higher at 33.2% compared to 17.1% in Keizer.

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.