Demographics details for College station, TX vs Enola, PA

Population Overview

Compare main population characteristics in College station, TX vs Enola, PA.

Data College station Enola
Population 124,319 6,111
Median Age 22.9 years 37.0 years
Median Income $52,397 $65,000
Married Families 26.0% 52.0%
Poverty Level 12% 10%
Unemployment Rate 3.7 3.0

Population Comparison: College station vs Enola

  • In College station, the population is higher at 124,319, compared to 6,111 in Enola.
  • The median age in Enola is higher at 37.0 years, compared to 22.9 years in College station.
  • Enola has a higher median income of $65,000, compared to $52,397 in College station.
  • In Enola, the percentage of married families is higher at 52.0%, compared to 26.0% in College station.
  • College station has a higher poverty level at 12% compared to 10% in Enola.
  • The unemployment rate in College station is higher at 3.7%, compared to 3.0% in Enola.

Demographics

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

Demographic College station Enola
Black 8 5
White 56 85
Asian 10 5
Hispanic 17 4
Two or More Races 9 1
American Indian Data is updating Data is updating

Demographics Comparison: College station vs Enola

  • A higher percentage of Black residents are in College station at 8% compared to 5% in Enola.
  • The percentage of White residents is higher in Enola at 85% compared to 56% in College station.
  • The Asian population is larger in College station at 10% compared to 5% in Enola.
  • The Hispanic community is larger in College station at 17% compared to 4% in Enola.
  • More residents identify as two or more races in College station at 9% compared to 1% in Enola.
  • The percentage of American Indian residents is the same in both College station and Enola at 0%.

Health Statistics

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

Health Metric College station Enola
Mental Health Not Good 16.6% Data is updating%
Physical Health Not Good 10.4% Data is updating%
Depression 23.0% Data is updating%
Smoking 14.4% Data is updating%
Binge Drinking 18.1% Data is updating%
Obesity 32.1% Data is updating%
Disability Percentage 6.0% Data is updating%

Health Statistics Comparison: College station vs Enola

  • More residents in College station report poor mental health at 16.6% compared to 0.0% in Enola.
  • Depression is more prevalent in College station at 23.0% compared to 0.0% in Enola.
  • Smoking is more prevalent in College station at 14.4% compared to 0.0% in Enola.
  • Binge drinking is more common in College station at 18.1% compared to 0.0% in Enola.
  • Obesity rates are higher in College station at 32.1% compared to 0.0% in Enola.
  • Disability percentages are higher in College station at 6.0% compared to 0.0% in Enola.

Education Levels

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

Education Level College station Enola
No Schooling 0.5% (601) 0.0% (Data is updating)
High School Diploma 4.7% (5,861) 0.0% (Data is updating)
Less than High School 3.2% (4,000) 0.0% (Data is updating)
Bachelor's Degree and Higher 24.2% (30,039) 0.0% (Data is updating)

Education Levels Comparison: College station vs Enola

  • A higher percentage of residents in College station have no formal schooling at 0.5% compared to 0.0% in Enola.
  • A higher percentage of residents in College station hold a high school diploma at 4.7% compared to 0.0% in Enola.
  • More residents in College station have less than a high school education at 3.2% compared to 0.0% in Enola.
  • A higher percentage of residents in College station hold a bachelor's degree or higher at 24.2% compared to 0.0% in Enola.

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.