Demographics details for College station, TX vs Manhattan, KS

Population Overview

Compare main population characteristics in College station, TX vs Manhattan, KS.

Data College station Manhattan
Population 124,319 53,829
Median Age 22.9 years 24.7 years
Median Income $52,397 $55,316
Married Families 26.0% 29.0%
Poverty Level 12% 15%
Unemployment Rate 3.7 3.8

Population Comparison: College station vs Manhattan

  • In College station, the population is higher at 124,319, compared to 53,829 in Manhattan.
  • The median age in Manhattan is higher at 24.7 years, compared to 22.9 years in College station.
  • Manhattan has a higher median income of $55,316, compared to $52,397 in College station.
  • In Manhattan, the percentage of married families is higher at 29.0%, compared to 26.0% in College station.
  • The poverty level is higher in Manhattan at 15%, compared to 12% in College station.
  • Manhattan has a higher unemployment rate at 3.8% compared to 3.7% in College station.

Demographics

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

Demographic College station Manhattan
Black 8 5
White 56 74
Asian 10 5
Hispanic 17 8
Two or More Races 9 7
American Indian Data is updating 1

Demographics Comparison: College station vs Manhattan

  • A higher percentage of Black residents are in College station at 8% compared to 5% in Manhattan.
  • The percentage of White residents is higher in Manhattan at 74% compared to 56% in College station.
  • The Asian population is larger in College station at 10% compared to 5% in Manhattan.
  • The Hispanic community is larger in College station at 17% compared to 8% in Manhattan.
  • More residents identify as two or more races in College station at 9% compared to 7% in Manhattan.
  • In Manhattan, the percentage of American Indian residents is higher at 1%, compared to 0% in College station.

Health Statistics

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

Health Metric College station Manhattan
Mental Health Not Good 16.6% 15.7%
Physical Health Not Good 10.4% 10.1%
Depression 23.0% 20.2%
Smoking 14.4% 16.0%
Binge Drinking 18.1% 20.6%
Obesity 32.1% 32.2%
Disability Percentage 6.0% 12.0%

Health Statistics Comparison: College station vs Manhattan

  • More residents in College station report poor mental health at 16.6% compared to 15.7% in Manhattan.
  • Depression is more prevalent in College station at 23.0% compared to 20.2% in Manhattan.
  • Manhattan has a higher smoking rate at 16.0% compared to 14.4% in College station.
  • More residents engage in binge drinking in Manhattan at 20.6% compared to 18.1% in College station.
  • Manhattan has higher obesity rates at 32.2% compared to 32.1% in College station.
  • There is a higher percentage of disabled individuals in Manhattan 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 College station Manhattan
No Schooling 0.5% (601) 0.5% (256)
High School Diploma 4.7% (5,861) 5.8% (3,138)
Less than High School 3.2% (4,000) 4.2% (2,256)
Bachelor's Degree and Higher 24.2% (30,039) 26.0% (14,017)

Education Levels Comparison: College station vs Manhattan

  • The percentage of residents with no formal schooling is the same in both College station and Manhattan at 0.5%.
  • In Manhattan, the rate of residents with high school diplomas is higher at 5.8% compared to 4.7% in College station.
  • The percentage of residents with less than a high school education is higher in Manhattan at 4.2%, compared to 3.2% in College station.
  • In Manhattan, a larger share of residents have a bachelor's degree or higher at 26.0% 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.