Demographics details for Bay shore, NY vs Marshall, AR
Population Overview
Compare main population characteristics in Bay shore, NY vs Marshall, AR.
| Data | Bay shore | Marshall |
|---|---|---|
| Population | 30,553 | 1,339 |
| Median Age | 36.4 years | 52.3 years |
| Median Income | $103,272 | $28,290 |
| Married Families | 32.0% | 33.0% |
| Poverty Level | 5% | 16% |
| Unemployment Rate | 4.2 | 4.2 |
Population Comparison: Bay shore vs Marshall
- In Bay shore, the population is higher at 30,553, compared to 1,339 in Marshall.
- The median age in Marshall is higher at 52.3 years, compared to 36.4 years in Bay shore.
- Bay shore has a higher median income of $103,272 compared to $28,290 in Marshall.
- In Marshall, the percentage of married families is higher at 33.0%, compared to 32.0% in Bay shore.
- The poverty level is higher in Marshall at 16%, compared to 5% in Bay shore.
- The unemployment rate is the same in both Bay shore and Marshall at 4.2%.
Demographics
Demographics Bay shore vs Marshall provide insight into the diversity of the communities to compare.
| Demographic | Bay shore | Marshall |
|---|---|---|
| Black | 15 | Data is updating |
| White | 31 | 84 |
| Asian | 9 | Data is updating |
| Hispanic | 33 | 3 |
| Two or More Races | 10 | 12 |
| American Indian | 2 | 1 |
Demographics Comparison: Bay shore vs Marshall
- A higher percentage of Black residents are in Bay shore at 15% compared to 0% in Marshall.
- The percentage of White residents is higher in Marshall at 84% compared to 31% in Bay shore.
- The Asian population is larger in Bay shore at 9% compared to 0% in Marshall.
- The Hispanic community is larger in Bay shore at 33% compared to 3% in Marshall.
- The percentage of residents identifying as two or more races is higher in Marshall at 12%, compared to 10% in Bay shore.
- A greater percentage of American Indian residents live in Bay shore at 2% compared to 1% in Marshall.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bay shore | Marshall |
|---|---|---|
| Mental Health Not Good | 14.6% | 21.7% |
| Physical Health Not Good | 9.7% | 16.2% |
| Depression | 18.6% | 29.8% |
| Smoking | 13.8% | 27.2% |
| Binge Drinking | 15.3% | 14.7% |
| Obesity | 32.0% | 39.2% |
| Disability Percentage | 8.0% | 30.0% |
Health Statistics Comparison: Bay shore vs Marshall
- In Marshall, a higher percentage report poor mental health at 21.7% compared to 14.6% in Bay shore.
- Higher depression rates are seen in Marshall at 29.8% versus 18.6% in Bay shore.
- Marshall has a higher smoking rate at 27.2% compared to 13.8% in Bay shore.
- Binge drinking is more common in Bay shore at 15.3% compared to 14.7% in Marshall.
- Marshall has higher obesity rates at 39.2% compared to 32.0% in Bay shore.
- There is a higher percentage of disabled individuals in Marshall at 30.0% 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 | Marshall |
|---|---|---|
| No Schooling | 1.7% (506) | 0.9% (12) |
| High School Diploma | 14.9% (4,552) | 27.9% (373) |
| Less than High School | 16.0% (4,885) | 32.4% (434) |
| Bachelor's Degree and Higher | 21.1% (6,444) | 11.7% (156) |
Education Levels Comparison: Bay shore vs Marshall
- A higher percentage of residents in Bay shore have no formal schooling at 1.7% compared to 0.9% in Marshall.
- In Marshall, the rate of residents with high school diplomas is higher at 27.9% compared to 14.9% in Bay shore.
- The percentage of residents with less than a high school education is higher in Marshall at 32.4%, compared to 16.0% in Bay shore.
- A higher percentage of residents in Bay shore hold a bachelor's degree or higher at 21.1% compared to 11.7% in Marshall.
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.