Demographics details for Wichita falls, TX vs Safford, AZ
Population Overview
Compare main population characteristics in Wichita falls, TX vs Safford, AZ.
Data | Wichita falls | Safford |
---|---|---|
Population | 102,664 | 10,297 |
Median Age | 32.8 years | 31.6 years |
Median Income | $55,584 | $64,860 |
Married Families | 34.0% | 33.0% |
Poverty Level | 14% | Data is updating |
Unemployment Rate | 4.9 | 3.5 |
Population Comparison: Wichita falls vs Safford
- In Wichita falls, the population is higher at 102,664, compared to 10,297 in Safford.
- Residents in Wichita falls have a higher median age of 32.8 years compared to 31.6 years in Safford.
- Safford has a higher median income of $64,860, compared to $55,584 in Wichita falls.
- A higher percentage of married families is found in Wichita falls at 34.0% compared to 33.0% in Safford.
- Wichita falls has a higher poverty level at 14% compared to 0% in Safford.
- The unemployment rate in Wichita falls is higher at 4.9%, compared to 3.5% in Safford.
Demographics
Demographics Wichita falls vs Safford provide insight into the diversity of the communities to compare.
Demographic | Wichita falls | Safford |
---|---|---|
Black | 12 | 2 |
White | 54 | 31 |
Asian | 3 | 1 |
Hispanic | 22 | 50 |
Two or More Races | 8 | 15 |
American Indian | 1 | 1 |
Demographics Comparison: Wichita falls vs Safford
- A higher percentage of Black residents are in Wichita falls at 12% compared to 2% in Safford.
- Wichita falls has a higher percentage of White residents at 54% compared to 31% in Safford.
- The Asian population is larger in Wichita falls at 3% compared to 1% in Safford.
- Safford has a higher percentage of Hispanic residents at 50%, compared to 22% in Wichita falls.
- The percentage of residents identifying as two or more races is higher in Safford at 15%, compared to 8% in Wichita falls.
- The percentage of American Indian residents is the same in both Wichita falls and Safford at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Wichita falls | Safford |
---|---|---|
Mental Health Not Good | 18.3% | 17.2% |
Physical Health Not Good | 12.5% | 12.2% |
Depression | 24.6% | 19.9% |
Smoking | 18.6% | 16.6% |
Binge Drinking | 18.7% | 17.0% |
Obesity | 37.1% | 35.2% |
Disability Percentage | 13.0% | 14.0% |
Health Statistics Comparison: Wichita falls vs Safford
- More residents in Wichita falls report poor mental health at 18.3% compared to 17.2% in Safford.
- Depression is more prevalent in Wichita falls at 24.6% compared to 19.9% in Safford.
- Smoking is more prevalent in Wichita falls at 18.6% compared to 16.6% in Safford.
- Binge drinking is more common in Wichita falls at 18.7% compared to 17.0% in Safford.
- Obesity rates are higher in Wichita falls at 37.1% compared to 35.2% in Safford.
- There is a higher percentage of disabled individuals in Safford at 14.0% 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 | Safford |
---|---|---|
No Schooling | 1.0% (1,035) | 2.7% (274) |
High School Diploma | 15.1% (15,510) | 11.1% (1,147) |
Less than High School | 14.6% (14,970) | 17.7% (1,825) |
Bachelor's Degree and Higher | 15.1% (15,550) | 10.6% (1,092) |
Education Levels Comparison: Wichita falls vs Safford
- In Safford, a larger percentage of residents lack formal schooling at 2.7% compared to 1.0% in Wichita falls.
- A higher percentage of residents in Wichita falls hold a high school diploma at 15.1% compared to 11.1% in Safford.
- The percentage of residents with less than a high school education is higher in Safford at 17.7%, compared to 14.6% in Wichita falls.
- A higher percentage of residents in Wichita falls hold a bachelor's degree or higher at 15.1% compared to 10.6% in Safford.
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.