Demographics details for Pasadena, MD vs Thompsons station, TN

Population Overview

Compare main population characteristics in Pasadena, MD vs Thompsons station, TN.

Data Pasadena Thompsons station
Population 32,161 8,199
Median Age 35.1 years 36.1 years
Median Income $113,944 $116,569
Married Families 43.0% 44.0%
Poverty Level 6% 3%
Unemployment Rate 4.5 2.6

Population Comparison: Pasadena vs Thompsons station

  • In Pasadena, the population is higher at 32,161, compared to 8,199 in Thompsons station.
  • The median age in Thompsons station is higher at 36.1 years, compared to 35.1 years in Pasadena.
  • Thompsons station has a higher median income of $116,569, compared to $113,944 in Pasadena.
  • In Thompsons station, the percentage of married families is higher at 44.0%, compared to 43.0% in Pasadena.
  • Pasadena has a higher poverty level at 6% compared to 3% in Thompsons station.
  • The unemployment rate in Pasadena is higher at 4.5%, compared to 2.6% in Thompsons station.

Demographics

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

Demographic Pasadena Thompsons station
Black 17 2
White 66 84
Asian 4 4
Hispanic 7 1
Two or More Races 6 11
American Indian Data is updating Data is updating

Demographics Comparison: Pasadena vs Thompsons station

  • A higher percentage of Black residents are in Pasadena at 17% compared to 2% in Thompsons station.
  • The percentage of White residents is higher in Thompsons station at 84% compared to 66% in Pasadena.
  • Both Pasadena and Thompsons station have the same percentage of Asian residents at 4%.
  • The Hispanic community is larger in Pasadena at 7% compared to 1% in Thompsons station.
  • The percentage of residents identifying as two or more races is higher in Thompsons station at 11%, compared to 6% in Pasadena.
  • The percentage of American Indian residents is the same in both Pasadena and Thompsons station at 0%.

Health Statistics

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

Health Metric Pasadena Thompsons station
Mental Health Not Good 15.4% 15.1%
Physical Health Not Good 9.3% 9.3%
Depression 21.4% 24.3%
Smoking 13.2% 13.5%
Binge Drinking 17.8% 17.0%
Obesity 35.6% 29.2%
Disability Percentage 10.0% 5.0%

Health Statistics Comparison: Pasadena vs Thompsons station

  • More residents in Pasadena report poor mental health at 15.4% compared to 15.1% in Thompsons station.
  • Higher depression rates are seen in Thompsons station at 24.3% versus 21.4% in Pasadena.
  • Thompsons station has a higher smoking rate at 13.5% compared to 13.2% in Pasadena.
  • Binge drinking is more common in Pasadena at 17.8% compared to 17.0% in Thompsons station.
  • Obesity rates are higher in Pasadena at 35.6% compared to 29.2% in Thompsons station.
  • Disability percentages are higher in Pasadena at 10.0% 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 Pasadena Thompsons station
No Schooling 0.6% (191) 0.6% (51)
High School Diploma 17.5% (5,624) 11.2% (920)
Less than High School 8.8% (2,835) 4.1% (340)
Bachelor's Degree and Higher 23.8% (7,658) 33.2% (2,725)

Education Levels Comparison: Pasadena vs Thompsons station

  • The percentage of residents with no formal schooling is the same in both Pasadena and Thompsons station at 0.6%.
  • A higher percentage of residents in Pasadena hold a high school diploma at 17.5% compared to 11.2% in Thompsons station.
  • More residents in Pasadena have less than a high school education at 8.8% compared to 4.1% in Thompsons station.
  • In Thompsons station, a larger share of residents have a bachelor's degree or higher at 33.2% compared to 23.8% in Pasadena.

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.