Demographics details for Wichita falls, TX vs Huntingdon, TN

Population Overview

Compare main population characteristics in Wichita falls, TX vs Huntingdon, TN.

Data Wichita falls Huntingdon
Population 102,664 4,424
Median Age 32.8 years 33.4 years
Median Income $55,584 $46,167
Married Families 34.0% 43.0%
Poverty Level 14% 14%
Unemployment Rate 4.9 4.5

Population Comparison: Wichita falls vs Huntingdon

  • In Wichita falls, the population is higher at 102,664, compared to 4,424 in Huntingdon.
  • The median age in Huntingdon is higher at 33.4 years, compared to 32.8 years in Wichita falls.
  • Wichita falls has a higher median income of $55,584 compared to $46,167 in Huntingdon.
  • In Huntingdon, the percentage of married families is higher at 43.0%, compared to 34.0% in Wichita falls.
  • The poverty level is identical in both Wichita falls and Huntingdon at 14%.
  • The unemployment rate in Wichita falls is higher at 4.9%, compared to 4.5% in Huntingdon.

Demographics

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

Demographic Wichita falls Huntingdon
Black 12 15
White 54 79
Asian 3 Data is updating
Hispanic 22 Data is updating
Two or More Races 8 6
American Indian 1 Data is updating

Demographics Comparison: Wichita falls vs Huntingdon

  • In Huntingdon, the percentage of Black residents is higher at 15% compared to 12% in Wichita falls.
  • The percentage of White residents is higher in Huntingdon at 79% compared to 54% in Wichita falls.
  • The Asian population is larger in Wichita falls at 3% compared to 0% in Huntingdon.
  • The Hispanic community is larger in Wichita falls at 22% compared to 0% in Huntingdon.
  • More residents identify as two or more races in Wichita falls at 8% compared to 6% in Huntingdon.
  • A greater percentage of American Indian residents live in Wichita falls at 1% compared to 0% in Huntingdon.

Health Statistics

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

Health Metric Wichita falls Huntingdon
Mental Health Not Good 18.3% 20.2%
Physical Health Not Good 12.5% 14.3%
Depression 24.6% 28.5%
Smoking 18.6% 23.9%
Binge Drinking 18.7% 15.1%
Obesity 37.1% 37.8%
Disability Percentage 13.0% 26.0%

Health Statistics Comparison: Wichita falls vs Huntingdon

  • In Huntingdon, a higher percentage report poor mental health at 20.2% compared to 18.3% in Wichita falls.
  • Higher depression rates are seen in Huntingdon at 28.5% versus 24.6% in Wichita falls.
  • Huntingdon has a higher smoking rate at 23.9% compared to 18.6% in Wichita falls.
  • Binge drinking is more common in Wichita falls at 18.7% compared to 15.1% in Huntingdon.
  • Huntingdon has higher obesity rates at 37.8% compared to 37.1% in Wichita falls.
  • There is a higher percentage of disabled individuals in Huntingdon at 26.0% 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 Huntingdon
No Schooling 1.0% (1,035) 1.0% (44)
High School Diploma 15.1% (15,510) 17.9% (794)
Less than High School 14.6% (14,970) 17.5% (776)
Bachelor's Degree and Higher 15.1% (15,550) 16.5% (731)

Education Levels Comparison: Wichita falls vs Huntingdon

  • The percentage of residents with no formal schooling is the same in both Wichita falls and Huntingdon at 1.0%.
  • In Huntingdon, the rate of residents with high school diplomas is higher at 17.9% compared to 15.1% in Wichita falls.
  • The percentage of residents with less than a high school education is higher in Huntingdon at 17.5%, compared to 14.6% in Wichita falls.
  • In Huntingdon, a larger share of residents have a bachelor's degree or higher at 16.5% 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.