Demographics details for Wichita falls, TX vs Fairfield bay, AR

Population Overview

Compare main population characteristics in Wichita falls, TX vs Fairfield bay, AR.

Data Wichita falls Fairfield bay
Population 102,664 2,152
Median Age 32.8 years 68.2 years
Median Income $55,584 $58,750
Married Families 34.0% 48.0%
Poverty Level 14% Data is updating
Unemployment Rate 4.9 3.5

Population Comparison: Wichita falls vs Fairfield bay

  • In Wichita falls, the population is higher at 102,664, compared to 2,152 in Fairfield bay.
  • The median age in Fairfield bay is higher at 68.2 years, compared to 32.8 years in Wichita falls.
  • Fairfield bay has a higher median income of $58,750, compared to $55,584 in Wichita falls.
  • In Fairfield bay, the percentage of married families is higher at 48.0%, compared to 34.0% in Wichita falls.
  • Wichita falls has a higher poverty level at 14% compared to 0% in Fairfield bay.
  • The unemployment rate in Wichita falls is higher at 4.9%, compared to 3.5% in Fairfield bay.

Demographics

Demographics Wichita falls vs Fairfield bay provide insight into the diversity of the communities to compare.

Demographic Wichita falls Fairfield bay
Black 12 1
White 54 86
Asian 3 1
Hispanic 22 7
Two or More Races 8 5
American Indian 1 Data is updating

Demographics Comparison: Wichita falls vs Fairfield bay

  • A higher percentage of Black residents are in Wichita falls at 12% compared to 1% in Fairfield bay.
  • The percentage of White residents is higher in Fairfield bay at 86% compared to 54% in Wichita falls.
  • The Asian population is larger in Wichita falls at 3% compared to 1% in Fairfield bay.
  • The Hispanic community is larger in Wichita falls at 22% compared to 7% in Fairfield bay.
  • More residents identify as two or more races in Wichita falls at 8% compared to 5% in Fairfield bay.
  • A greater percentage of American Indian residents live in Wichita falls at 1% compared to 0% in Fairfield bay.

Health Statistics

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

Health Metric Wichita falls Fairfield bay
Mental Health Not Good 18.3% 19.1%
Physical Health Not Good 12.5% 12.7%
Depression 24.6% 27.1%
Smoking 18.6% 20.2%
Binge Drinking 18.7% 15.7%
Obesity 37.1% 37.3%
Disability Percentage 13.0% 32.0%

Health Statistics Comparison: Wichita falls vs Fairfield bay

  • In Fairfield bay, a higher percentage report poor mental health at 19.1% compared to 18.3% in Wichita falls.
  • Higher depression rates are seen in Fairfield bay at 27.1% versus 24.6% in Wichita falls.
  • Fairfield bay has a higher smoking rate at 20.2% compared to 18.6% in Wichita falls.
  • Binge drinking is more common in Wichita falls at 18.7% compared to 15.7% in Fairfield bay.
  • Fairfield bay has higher obesity rates at 37.3% compared to 37.1% in Wichita falls.
  • There is a higher percentage of disabled individuals in Fairfield bay at 32.0% compared to 13.0% in Wichita falls.

Education Levels

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

Education Level Wichita falls Fairfield bay
No Schooling 1.0% (1,035) 0.2% (5)
High School Diploma 15.1% (15,510) 24.6% (529)
Less than High School 14.6% (14,970) 7.0% (151)
Bachelor's Degree and Higher 15.1% (15,550) 33.9% (729)

Education Levels Comparison: Wichita falls vs Fairfield bay

  • A higher percentage of residents in Wichita falls have no formal schooling at 1.0% compared to 0.2% in Fairfield bay.
  • In Fairfield bay, the rate of residents with high school diplomas is higher at 24.6% compared to 15.1% in Wichita falls.
  • More residents in Wichita falls have less than a high school education at 14.6% compared to 7.0% in Fairfield bay.
  • In Fairfield bay, a larger share of residents have a bachelor's degree or higher at 33.9% compared to 15.1% in Wichita falls.

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.