Demographics details for Wichita falls, TX vs Mason, OH
Population Overview
Compare main population characteristics in Wichita falls, TX vs Mason, OH.
| Data | Wichita falls | Mason |
|---|---|---|
| Population | 102,664 | 35,520 |
| Median Age | 32.8 years | 41.7 years |
| Median Income | $55,584 | $121,082 |
| Married Families | 34.0% | 47.0% |
| Poverty Level | 14% | 4% |
| Unemployment Rate | 4.9 | 4.8 |
Population Comparison: Wichita falls vs Mason
- In Wichita falls, the population is higher at 102,664, compared to 35,520 in Mason.
- The median age in Mason is higher at 41.7 years, compared to 32.8 years in Wichita falls.
- Mason has a higher median income of $121,082, compared to $55,584 in Wichita falls.
- In Mason, the percentage of married families is higher at 47.0%, compared to 34.0% in Wichita falls.
- Wichita falls has a higher poverty level at 14% compared to 4% in Mason.
- The unemployment rate in Wichita falls is higher at 4.9%, compared to 4.8% in Mason.
Demographics
Demographics Wichita falls vs Mason provide insight into the diversity of the communities to compare.
| Demographic | Wichita falls | Mason |
|---|---|---|
| Black | 12 | 5 |
| White | 54 | 74 |
| Asian | 3 | 14 |
| Hispanic | 22 | 3 |
| Two or More Races | 8 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Wichita falls vs Mason
- A higher percentage of Black residents are in Wichita falls at 12% compared to 5% in Mason.
- The percentage of White residents is higher in Mason at 74% compared to 54% in Wichita falls.
- In Mason, the Asian population stands at 14%, greater than 3% in Wichita falls.
- The Hispanic community is larger in Wichita falls at 22% compared to 3% in Mason.
- More residents identify as two or more races in Wichita falls at 8% compared to 4% in Mason.
- A greater percentage of American Indian residents live in Wichita falls at 1% compared to 0% in Mason.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wichita falls | Mason |
|---|---|---|
| Mental Health Not Good | 18.3% | 13.5% |
| Physical Health Not Good | 12.5% | 8.0% |
| Depression | 24.6% | 19.8% |
| Smoking | 18.6% | 11.8% |
| Binge Drinking | 18.7% | 19.1% |
| Obesity | 37.1% | 33.5% |
| Disability Percentage | 13.0% | 8.0% |
Health Statistics Comparison: Wichita falls vs Mason
- More residents in Wichita falls report poor mental health at 18.3% compared to 13.5% in Mason.
- Depression is more prevalent in Wichita falls at 24.6% compared to 19.8% in Mason.
- Smoking is more prevalent in Wichita falls at 18.6% compared to 11.8% in Mason.
- More residents engage in binge drinking in Mason at 19.1% compared to 18.7% in Wichita falls.
- Obesity rates are higher in Wichita falls at 37.1% compared to 33.5% in Mason.
- Disability percentages are higher in Wichita falls at 13.0% compared to 8.0% in Mason.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wichita falls | Mason |
|---|---|---|
| No Schooling | 1.0% (1,035) | 0.5% (183) |
| High School Diploma | 15.1% (15,510) | 8.9% (3,151) |
| Less than High School | 14.6% (14,970) | 3.0% (1,071) |
| Bachelor's Degree and Higher | 15.1% (15,550) | 40.7% (14,469) |
Education Levels Comparison: Wichita falls vs Mason
- A higher percentage of residents in Wichita falls have no formal schooling at 1.0% compared to 0.5% in Mason.
- A higher percentage of residents in Wichita falls hold a high school diploma at 15.1% compared to 8.9% in Mason.
- More residents in Wichita falls have less than a high school education at 14.6% compared to 3.0% in Mason.
- In Mason, a larger share of residents have a bachelor's degree or higher at 40.7% 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.