Demographics details for Bay shore, NY vs Wichita falls, TX
Population Overview
Compare main population characteristics in Bay shore, NY vs Wichita falls, TX.
| Data | Bay shore | Wichita falls |
|---|---|---|
| Population | 30,553 | 102,664 |
| Median Age | 36.4 years | 32.8 years |
| Median Income | $103,272 | $55,584 |
| Married Families | 32.0% | 34.0% |
| Poverty Level | 5% | 14% |
| Unemployment Rate | 4.2 | 4.9 |
Population Comparison: Bay shore vs Wichita falls
- The population in Wichita falls is higher at 102,664, compared to 30,553 in Bay shore.
- Residents in Bay shore have a higher median age of 36.4 years compared to 32.8 years in Wichita falls.
- Bay shore has a higher median income of $103,272 compared to $55,584 in Wichita falls.
- In Wichita falls, the percentage of married families is higher at 34.0%, compared to 32.0% in Bay shore.
- The poverty level is higher in Wichita falls at 14%, compared to 5% in Bay shore.
- Wichita falls has a higher unemployment rate at 4.9% compared to 4.2% in Bay shore.
Demographics
Demographics Bay shore vs Wichita falls provide insight into the diversity of the communities to compare.
| Demographic | Bay shore | Wichita falls |
|---|---|---|
| Black | 15 | 12 |
| White | 31 | 54 |
| Asian | 9 | 3 |
| Hispanic | 33 | 22 |
| Two or More Races | 10 | 8 |
| American Indian | 2 | 1 |
Demographics Comparison: Bay shore vs Wichita falls
- A higher percentage of Black residents are in Bay shore at 15% compared to 12% in Wichita falls.
- The percentage of White residents is higher in Wichita falls at 54% compared to 31% in Bay shore.
- The Asian population is larger in Bay shore at 9% compared to 3% in Wichita falls.
- The Hispanic community is larger in Bay shore at 33% compared to 22% in Wichita falls.
- More residents identify as two or more races in Bay shore at 10% compared to 8% in Wichita falls.
- A greater percentage of American Indian residents live in Bay shore at 2% compared to 1% in Wichita falls.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bay shore | Wichita falls |
|---|---|---|
| Mental Health Not Good | 14.6% | 18.3% |
| Physical Health Not Good | 9.7% | 12.5% |
| Depression | 18.6% | 24.6% |
| Smoking | 13.8% | 18.6% |
| Binge Drinking | 15.3% | 18.7% |
| Obesity | 32.0% | 37.1% |
| Disability Percentage | 8.0% | 13.0% |
Health Statistics Comparison: Bay shore vs Wichita falls
- In Wichita falls, a higher percentage report poor mental health at 18.3% compared to 14.6% in Bay shore.
- Higher depression rates are seen in Wichita falls at 24.6% versus 18.6% in Bay shore.
- Wichita falls has a higher smoking rate at 18.6% compared to 13.8% in Bay shore.
- More residents engage in binge drinking in Wichita falls at 18.7% compared to 15.3% in Bay shore.
- Wichita falls has higher obesity rates at 37.1% compared to 32.0% in Bay shore.
- There is a higher percentage of disabled individuals in Wichita falls at 13.0% compared to 8.0% in Bay shore.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bay shore | Wichita falls |
|---|---|---|
| No Schooling | 1.7% (506) | 1.0% (1,035) |
| High School Diploma | 14.9% (4,552) | 15.1% (15,510) |
| Less than High School | 16.0% (4,885) | 14.6% (14,970) |
| Bachelor's Degree and Higher | 21.1% (6,444) | 15.1% (15,550) |
Education Levels Comparison: Bay shore vs Wichita falls
- A higher percentage of residents in Bay shore have no formal schooling at 1.7% compared to 1.0% in Wichita falls.
- In Wichita falls, the rate of residents with high school diplomas is higher at 15.1% compared to 14.9% in Bay shore.
- More residents in Bay shore have less than a high school education at 16.0% compared to 14.6% in Wichita falls.
- A higher percentage of residents in Bay shore hold a bachelor's degree or higher at 21.1% 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.