Demographics details for Bainbridge, GA vs Marshall, TX

Population Overview

Compare main population characteristics in Bainbridge, GA vs Marshall, TX.

Data Bainbridge Marshall
Population 14,423 23,641
Median Age 37.6 years 34.1 years
Median Income $41,531 $49,162
Married Families 28.0% 27.0%
Poverty Level 25% 17%
Unemployment Rate Data is updating 5.1

Population Comparison: Bainbridge vs Marshall

  • The population in Marshall is higher at 23,641, compared to 14,423 in Bainbridge.
  • Residents in Bainbridge have a higher median age of 37.6 years compared to 34.1 years in Marshall.
  • Marshall has a higher median income of $49,162, compared to $41,531 in Bainbridge.
  • A higher percentage of married families is found in Bainbridge at 28.0% compared to 27.0% in Marshall.
  • Bainbridge has a higher poverty level at 25% compared to 17% in Marshall.
  • Marshall has a higher unemployment rate at 5.1% compared to 0.0% in Bainbridge.

Demographics

Demographics Bainbridge vs Marshall provide insight into the diversity of the communities to compare.

Demographic Bainbridge Marshall
Black 60 40
White 31 28
Asian 1 1
Hispanic 4 20
Two or More Races 4 11
American Indian Data is updating Data is updating

Demographics Comparison: Bainbridge vs Marshall

  • A higher percentage of Black residents are in Bainbridge at 60% compared to 40% in Marshall.
  • Bainbridge has a higher percentage of White residents at 31% compared to 28% in Marshall.
  • Both Bainbridge and Marshall have the same percentage of Asian residents at 1%.
  • Marshall has a higher percentage of Hispanic residents at 20%, compared to 4% in Bainbridge.
  • The percentage of residents identifying as two or more races is higher in Marshall at 11%, compared to 4% in Bainbridge.
  • The percentage of American Indian residents is the same in both Bainbridge and Marshall at 0%.

Health Statistics

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

Health Metric Bainbridge Marshall
Mental Health Not Good Data is updating% 19.2%
Physical Health Not Good Data is updating% 13.8%
Depression Data is updating% 22.7%
Smoking Data is updating% 21.0%
Binge Drinking Data is updating% 16.2%
Obesity Data is updating% 42.0%
Disability Percentage Data is updating% 17.0%

Health Statistics Comparison: Bainbridge vs Marshall

  • In Marshall, a higher percentage report poor mental health at 19.2% compared to 0.0% in Bainbridge.
  • Higher depression rates are seen in Marshall at 22.7% versus 0.0% in Bainbridge.
  • Marshall has a higher smoking rate at 21.0% compared to 0.0% in Bainbridge.
  • More residents engage in binge drinking in Marshall at 16.2% compared to 0.0% in Bainbridge.
  • Marshall has higher obesity rates at 42.0% compared to 0.0% in Bainbridge.
  • There is a higher percentage of disabled individuals in Marshall at 17.0% compared to 0.0% in Bainbridge.

Education Levels

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

Education Level Bainbridge Marshall
No Schooling 0.0% (Data is updating) 0.8% (195)
High School Diploma 0.0% (Data is updating) 18.7% (4,412)
Less than High School 0.0% (Data is updating) 10.7% (2,527)
Bachelor's Degree and Higher 0.0% (Data is updating) 13.2% (3,127)

Education Levels Comparison: Bainbridge vs Marshall

  • In Marshall, a larger percentage of residents lack formal schooling at 0.8% compared to 0.0% in Bainbridge.
  • In Marshall, the rate of residents with high school diplomas is higher at 18.7% compared to 0.0% in Bainbridge.
  • The percentage of residents with less than a high school education is higher in Marshall at 10.7%, compared to 0.0% in Bainbridge.
  • In Marshall, a larger share of residents have a bachelor's degree or higher at 13.2% compared to 0.0% in Bainbridge.

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.