Demographics details for Bay shore, NY vs Abilene, TX
Population Overview
Compare main population characteristics in Bay shore, NY vs Abilene, TX.
| Data | Bay shore | Abilene |
|---|---|---|
| Population | 30,553 | 127,385 |
| Median Age | 36.4 years | 32.2 years |
| Median Income | $103,272 | $59,254 |
| Married Families | 32.0% | 35.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 4.2 | 4.0 |
Population Comparison: Bay shore vs Abilene
- The population in Abilene is higher at 127,385, compared to 30,553 in Bay shore.
- Residents in Bay shore have a higher median age of 36.4 years compared to 32.2 years in Abilene.
- Bay shore has a higher median income of $103,272 compared to $59,254 in Abilene.
- In Abilene, the percentage of married families is higher at 35.0%, compared to 32.0% in Bay shore.
- The poverty level is higher in Abilene at 12%, compared to 5% in Bay shore.
- The unemployment rate in Bay shore is higher at 4.2%, compared to 4.0% in Abilene.
Demographics
Demographics Bay shore vs Abilene provide insight into the diversity of the communities to compare.
| Demographic | Bay shore | Abilene |
|---|---|---|
| Black | 15 | 10 |
| White | 31 | 49 |
| Asian | 9 | 2 |
| Hispanic | 33 | 27 |
| Two or More Races | 10 | 12 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Bay shore vs Abilene
- A higher percentage of Black residents are in Bay shore at 15% compared to 10% in Abilene.
- The percentage of White residents is higher in Abilene at 49% compared to 31% in Bay shore.
- The Asian population is larger in Bay shore at 9% compared to 2% in Abilene.
- The Hispanic community is larger in Bay shore at 33% compared to 27% in Abilene.
- The percentage of residents identifying as two or more races is higher in Abilene at 12%, compared to 10% in Bay shore.
- A greater percentage of American Indian residents live in Bay shore at 2% compared to 0% in Abilene.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bay shore | Abilene |
|---|---|---|
| Mental Health Not Good | 14.6% | 17.7% |
| Physical Health Not Good | 9.7% | 12.5% |
| Depression | 18.6% | 22.8% |
| Smoking | 13.8% | 18.2% |
| Binge Drinking | 15.3% | 18.3% |
| Obesity | 32.0% | 35.8% |
| Disability Percentage | 8.0% | 13.0% |
Health Statistics Comparison: Bay shore vs Abilene
- In Abilene, a higher percentage report poor mental health at 17.7% compared to 14.6% in Bay shore.
- Higher depression rates are seen in Abilene at 22.8% versus 18.6% in Bay shore.
- Abilene has a higher smoking rate at 18.2% compared to 13.8% in Bay shore.
- More residents engage in binge drinking in Abilene at 18.3% compared to 15.3% in Bay shore.
- Abilene has higher obesity rates at 35.8% compared to 32.0% in Bay shore.
- There is a higher percentage of disabled individuals in Abilene 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 | Abilene |
|---|---|---|
| No Schooling | 1.7% (506) | 0.9% (1,096) |
| High School Diploma | 14.9% (4,552) | 13.7% (17,400) |
| Less than High School | 16.0% (4,885) | 13.7% (17,433) |
| Bachelor's Degree and Higher | 21.1% (6,444) | 16.0% (20,428) |
Education Levels Comparison: Bay shore vs Abilene
- A higher percentage of residents in Bay shore have no formal schooling at 1.7% compared to 0.9% in Abilene.
- A higher percentage of residents in Bay shore hold a high school diploma at 14.9% compared to 13.7% in Abilene.
- More residents in Bay shore have less than a high school education at 16.0% compared to 13.7% in Abilene.
- A higher percentage of residents in Bay shore hold a bachelor's degree or higher at 21.1% compared to 16.0% in Abilene.
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.