Demographics details for Aiken, SC vs College station, TX

Population Overview

Compare main population characteristics in Aiken, SC vs College station, TX.

Data Aiken College station
Population 32,463 124,319
Median Age 46.4 years 22.9 years
Median Income $65,712 $52,397
Married Families 38.0% 26.0%
Poverty Level 12% 12%
Unemployment Rate 5.2 3.7

Population Comparison: Aiken vs College station

  • The population in College station is higher at 124,319, compared to 32,463 in Aiken.
  • Residents in Aiken have a higher median age of 46.4 years compared to 22.9 years in College station.
  • Aiken has a higher median income of $65,712 compared to $52,397 in College station.
  • A higher percentage of married families is found in Aiken at 38.0% compared to 26.0% in College station.
  • The poverty level is identical in both Aiken and College station at 12%.
  • The unemployment rate in Aiken is higher at 5.2%, compared to 3.7% in College station.

Demographics

Demographics Aiken vs College station provide insight into the diversity of the communities to compare.

Demographic Aiken College station
Black 36 8
White 56 56
Asian 2 10
Hispanic 3 17
Two or More Races 3 9
American Indian Data is updating Data is updating

Demographics Comparison: Aiken vs College station

  • A higher percentage of Black residents are in Aiken at 36% compared to 8% in College station.
  • The percentage of White residents is the same in both Aiken and College station at 56%.
  • In College station, the Asian population stands at 10%, greater than 2% in Aiken.
  • College station has a higher percentage of Hispanic residents at 17%, compared to 3% in Aiken.
  • The percentage of residents identifying as two or more races is higher in College station at 9%, compared to 3% in Aiken.
  • The percentage of American Indian residents is the same in both Aiken and College station at 0%.

Health Statistics

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

Health Metric Aiken College station
Mental Health Not Good 16.6% 16.6%
Physical Health Not Good 11.0% 10.4%
Depression 20.3% 23.0%
Smoking 15.5% 14.4%
Binge Drinking 16.5% 18.1%
Obesity 35.7% 32.1%
Disability Percentage 12.0% 6.0%

Health Statistics Comparison: Aiken vs College station

  • Poor mental health levels are equal in both Aiken and College station at 16.6%.
  • Higher depression rates are seen in College station at 23.0% versus 20.3% in Aiken.
  • Smoking is more prevalent in Aiken at 15.5% compared to 14.4% in College station.
  • More residents engage in binge drinking in College station at 18.1% compared to 16.5% in Aiken.
  • Obesity rates are higher in Aiken at 35.7% compared to 32.1% in College station.
  • Disability percentages are higher in Aiken at 12.0% compared to 6.0% in College station.

Education Levels

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

Education Level Aiken College station
No Schooling 0.5% (150) 0.5% (601)
High School Diploma 14.3% (4,646) 4.7% (5,861)
Less than High School 7.3% (2,369) 3.2% (4,000)
Bachelor's Degree and Higher 30.6% (9,923) 24.2% (30,039)

Education Levels Comparison: Aiken vs College station

  • The percentage of residents with no formal schooling is the same in both Aiken and College station at 0.5%.
  • A higher percentage of residents in Aiken hold a high school diploma at 14.3% compared to 4.7% in College station.
  • More residents in Aiken have less than a high school education at 7.3% compared to 3.2% in College station.
  • A higher percentage of residents in Aiken hold a bachelor's degree or higher at 30.6% compared to 24.2% in College station.

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.