Demographics details for Wichita falls, TX vs Ada, OK
Population Overview
Compare main population characteristics in Wichita falls, TX vs Ada, OK.
| Data | Wichita falls | Ada |
|---|---|---|
| Population | 102,664 | 16,542 |
| Median Age | 32.8 years | 32.4 years |
| Median Income | $55,584 | $47,264 |
| Married Families | 34.0% | 28.0% |
| Poverty Level | 14% | 14% |
| Unemployment Rate | 4.9 | 2.7 |
Population Comparison: Wichita falls vs Ada
- In Wichita falls, the population is higher at 102,664, compared to 16,542 in Ada.
- Residents in Wichita falls have a higher median age of 32.8 years compared to 32.4 years in Ada.
- Wichita falls has a higher median income of $55,584 compared to $47,264 in Ada.
- A higher percentage of married families is found in Wichita falls at 34.0% compared to 28.0% in Ada.
- The poverty level is identical in both Wichita falls and Ada at 14%.
- The unemployment rate in Wichita falls is higher at 4.9%, compared to 2.7% in Ada.
Demographics
Demographics Wichita falls vs Ada provide insight into the diversity of the communities to compare.
| Demographic | Wichita falls | Ada |
|---|---|---|
| Black | 12 | 5 |
| White | 54 | 55 |
| Asian | 3 | 2 |
| Hispanic | 22 | 6 |
| Two or More Races | 8 | 14 |
| American Indian | 1 | 18 |
Demographics Comparison: Wichita falls vs Ada
- A higher percentage of Black residents are in Wichita falls at 12% compared to 5% in Ada.
- The percentage of White residents is higher in Ada at 55% compared to 54% in Wichita falls.
- The Asian population is larger in Wichita falls at 3% compared to 2% in Ada.
- The Hispanic community is larger in Wichita falls at 22% compared to 6% in Ada.
- The percentage of residents identifying as two or more races is higher in Ada at 14%, compared to 8% in Wichita falls.
- In Ada, the percentage of American Indian residents is higher at 18%, compared to 1% in Wichita falls.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wichita falls | Ada |
|---|---|---|
| Mental Health Not Good | 18.3% | 19.4% |
| Physical Health Not Good | 12.5% | 13.3% |
| Depression | 24.6% | 26.3% |
| Smoking | 18.6% | 21.3% |
| Binge Drinking | 18.7% | 13.8% |
| Obesity | 37.1% | 37.3% |
| Disability Percentage | 13.0% | 17.0% |
Health Statistics Comparison: Wichita falls vs Ada
- In Ada, a higher percentage report poor mental health at 19.4% compared to 18.3% in Wichita falls.
- Higher depression rates are seen in Ada at 26.3% versus 24.6% in Wichita falls.
- Ada has a higher smoking rate at 21.3% compared to 18.6% in Wichita falls.
- Binge drinking is more common in Wichita falls at 18.7% compared to 13.8% in Ada.
- Ada has higher obesity rates at 37.3% compared to 37.1% in Wichita falls.
- There is a higher percentage of disabled individuals in Ada at 17.0% 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 | Ada |
|---|---|---|
| No Schooling | 1.0% (1,035) | 0.5% (89) |
| High School Diploma | 15.1% (15,510) | 15.2% (2,519) |
| Less than High School | 14.6% (14,970) | 12.5% (2,071) |
| Bachelor's Degree and Higher | 15.1% (15,550) | 17.8% (2,952) |
Education Levels Comparison: Wichita falls vs Ada
- A higher percentage of residents in Wichita falls have no formal schooling at 1.0% compared to 0.5% in Ada.
- In Ada, the rate of residents with high school diplomas is higher at 15.2% compared to 15.1% in Wichita falls.
- More residents in Wichita falls have less than a high school education at 14.6% compared to 12.5% in Ada.
- In Ada, a larger share of residents have a bachelor's degree or higher at 17.8% 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.