Demographics details for Wichita falls, TX vs Confluence, PA
Population Overview
Compare main population characteristics in Wichita falls, TX vs Confluence, PA.
Data | Wichita falls | Confluence |
---|---|---|
Population | 102,664 | 714 |
Median Age | 32.8 years | 54.8 years |
Median Income | $55,584 | $54,432 |
Married Families | 34.0% | 35.0% |
Poverty Level | 14% | 10% |
Unemployment Rate | 4.9 | 5.0 |
Population Comparison: Wichita falls vs Confluence
- In Wichita falls, the population is higher at 102,664, compared to 714 in Confluence.
- The median age in Confluence is higher at 54.8 years, compared to 32.8 years in Wichita falls.
- Wichita falls has a higher median income of $55,584 compared to $54,432 in Confluence.
- In Confluence, the percentage of married families is higher at 35.0%, compared to 34.0% in Wichita falls.
- Wichita falls has a higher poverty level at 14% compared to 10% in Confluence.
- Confluence has a higher unemployment rate at 5.0% compared to 4.9% in Wichita falls.
Demographics
Demographics Wichita falls vs Confluence provide insight into the diversity of the communities to compare.
Demographic | Wichita falls | Confluence |
---|---|---|
Black | 12 | 2 |
White | 54 | 92 |
Asian | 3 | Data is updating |
Hispanic | 22 | 1 |
Two or More Races | 8 | 5 |
American Indian | 1 | Data is updating |
Demographics Comparison: Wichita falls vs Confluence
- A higher percentage of Black residents are in Wichita falls at 12% compared to 2% in Confluence.
- The percentage of White residents is higher in Confluence at 92% compared to 54% in Wichita falls.
- The Asian population is larger in Wichita falls at 3% compared to 0% in Confluence.
- The Hispanic community is larger in Wichita falls at 22% compared to 1% in Confluence.
- More residents identify as two or more races in Wichita falls at 8% compared to 5% in Confluence.
- A greater percentage of American Indian residents live in Wichita falls at 1% compared to 0% in Confluence.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Wichita falls | Confluence |
---|---|---|
Mental Health Not Good | 18.3% | 18.1% |
Physical Health Not Good | 12.5% | 12.7% |
Depression | 24.6% | 24.3% |
Smoking | 18.6% | 22.0% |
Binge Drinking | 18.7% | 18.7% |
Obesity | 37.1% | 39.7% |
Disability Percentage | 13.0% | 19.0% |
Health Statistics Comparison: Wichita falls vs Confluence
- More residents in Wichita falls report poor mental health at 18.3% compared to 18.1% in Confluence.
- Depression is more prevalent in Wichita falls at 24.6% compared to 24.3% in Confluence.
- Confluence has a higher smoking rate at 22.0% compared to 18.6% in Wichita falls.
- Binge drinking rates are similar in both Wichita falls and Confluence at 18.7%.
- Confluence has higher obesity rates at 39.7% compared to 37.1% in Wichita falls.
- There is a higher percentage of disabled individuals in Confluence at 19.0% 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 | Confluence |
---|---|---|
No Schooling | 1.0% (1,035) | 0.3% (2) |
High School Diploma | 15.1% (15,510) | 30.3% (216) |
Less than High School | 14.6% (14,970) | 8.0% (57) |
Bachelor's Degree and Higher | 15.1% (15,550) | 11.5% (82) |
Education Levels Comparison: Wichita falls vs Confluence
- A higher percentage of residents in Wichita falls have no formal schooling at 1.0% compared to 0.3% in Confluence.
- In Confluence, the rate of residents with high school diplomas is higher at 30.3% compared to 15.1% in Wichita falls.
- More residents in Wichita falls have less than a high school education at 14.6% compared to 8.0% in Confluence.
- A higher percentage of residents in Wichita falls hold a bachelor's degree or higher at 15.1% compared to 11.5% in Confluence.
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.