Demographics details for Blue ridge, GA vs Wichita falls, TX

Population Overview

Compare main population characteristics in Blue ridge, GA vs Wichita falls, TX.

Data Blue ridge Wichita falls
Population 1,226 102,664
Median Age 47.3 years 32.8 years
Median Income $34,659 $55,584
Married Families 42.0% 34.0%
Poverty Level 14% 14%
Unemployment Rate 3.5 4.9

Population Comparison: Blue ridge vs Wichita falls

  • The population in Wichita falls is higher at 102,664, compared to 1,226 in Blue ridge.
  • Residents in Blue ridge have a higher median age of 47.3 years compared to 32.8 years in Wichita falls.
  • Wichita falls has a higher median income of $55,584, compared to $34,659 in Blue ridge.
  • A higher percentage of married families is found in Blue ridge at 42.0% compared to 34.0% in Wichita falls.
  • The poverty level is identical in both Blue ridge and Wichita falls at 14%.
  • Wichita falls has a higher unemployment rate at 4.9% compared to 3.5% in Blue ridge.

Demographics

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

Demographic Blue ridge Wichita falls
Black 3 12
White 93 54
Asian Data is updating 3
Hispanic 3 22
Two or More Races 1 8
American Indian Data is updating 1

Demographics Comparison: Blue ridge vs Wichita falls

  • In Wichita falls, the percentage of Black residents is higher at 12% compared to 3% in Blue ridge.
  • Blue ridge has a higher percentage of White residents at 93% compared to 54% in Wichita falls.
  • In Wichita falls, the Asian population stands at 3%, greater than 0% in Blue ridge.
  • Wichita falls has a higher percentage of Hispanic residents at 22%, compared to 3% in Blue ridge.
  • The percentage of residents identifying as two or more races is higher in Wichita falls at 8%, compared to 1% in Blue ridge.
  • In Wichita falls, the percentage of American Indian residents is higher at 1%, compared to 0% in Blue ridge.

Health Statistics

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

Health Metric Blue ridge Wichita falls
Mental Health Not Good 17.5% 18.3%
Physical Health Not Good 12.4% 12.5%
Depression 23.5% 24.6%
Smoking 18.6% 18.6%
Binge Drinking 17.3% 18.7%
Obesity 32.9% 37.1%
Disability Percentage 27.0% 13.0%

Health Statistics Comparison: Blue ridge vs Wichita falls

  • In Wichita falls, a higher percentage report poor mental health at 18.3% compared to 17.5% in Blue ridge.
  • Higher depression rates are seen in Wichita falls at 24.6% versus 23.5% in Blue ridge.
  • Smoking rates are the same in both Blue ridge and Wichita falls at 18.6%.
  • More residents engage in binge drinking in Wichita falls at 18.7% compared to 17.3% in Blue ridge.
  • Wichita falls has higher obesity rates at 37.1% compared to 32.9% in Blue ridge.
  • Disability percentages are higher in Blue ridge at 27.0% 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 Blue ridge Wichita falls
No Schooling 3.5% (43) 1.0% (1,035)
High School Diploma 21.1% (259) 15.1% (15,510)
Less than High School 38.8% (476) 14.6% (14,970)
Bachelor's Degree and Higher 15.3% (187) 15.1% (15,550)

Education Levels Comparison: Blue ridge vs Wichita falls

  • A higher percentage of residents in Blue ridge have no formal schooling at 3.5% compared to 1.0% in Wichita falls.
  • A higher percentage of residents in Blue ridge hold a high school diploma at 21.1% compared to 15.1% in Wichita falls.
  • More residents in Blue ridge have less than a high school education at 38.8% compared to 14.6% in Wichita falls.
  • A higher percentage of residents in Blue ridge hold a bachelor's degree or higher at 15.3% 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.