Demographics details for Bay shore, NY vs Billings, MT
Population Overview
Compare main population characteristics in Bay shore, NY vs Billings, MT.
| Data | Bay shore | Billings |
|---|---|---|
| Population | 30,553 | 119,960 |
| Median Age | 36.4 years | 37.7 years |
| Median Income | $103,272 | $69,692 |
| Married Families | 32.0% | 37.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Bay shore vs Billings
- The population in Billings is higher at 119,960, compared to 30,553 in Bay shore.
- The median age in Billings is higher at 37.7 years, compared to 36.4 years in Bay shore.
- Bay shore has a higher median income of $103,272 compared to $69,692 in Billings.
- In Billings, the percentage of married families is higher at 37.0%, compared to 32.0% in Bay shore.
- The poverty level is higher in Billings at 10%, compared to 5% in Bay shore.
- The unemployment rate in Bay shore is higher at 4.2%, compared to 3.5% in Billings.
Demographics
Demographics Bay shore vs Billings provide insight into the diversity of the communities to compare.
| Demographic | Bay shore | Billings |
|---|---|---|
| Black | 15 | 1 |
| White | 31 | 82 |
| Asian | 9 | 1 |
| Hispanic | 33 | 7 |
| Two or More Races | 10 | 5 |
| American Indian | 2 | 4 |
Demographics Comparison: Bay shore vs Billings
- A higher percentage of Black residents are in Bay shore at 15% compared to 1% in Billings.
- The percentage of White residents is higher in Billings at 82% compared to 31% in Bay shore.
- The Asian population is larger in Bay shore at 9% compared to 1% in Billings.
- The Hispanic community is larger in Bay shore at 33% compared to 7% in Billings.
- More residents identify as two or more races in Bay shore at 10% compared to 5% in Billings.
- In Billings, the percentage of American Indian residents is higher at 4%, compared to 2% in Bay shore.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bay shore | Billings |
|---|---|---|
| Mental Health Not Good | 14.6% | 16.6% |
| Physical Health Not Good | 9.7% | 11.1% |
| Depression | 18.6% | 27.8% |
| Smoking | 13.8% | 16.1% |
| Binge Drinking | 15.3% | 22.9% |
| Obesity | 32.0% | 32.9% |
| Disability Percentage | 8.0% | 13.0% |
Health Statistics Comparison: Bay shore vs Billings
- In Billings, a higher percentage report poor mental health at 16.6% compared to 14.6% in Bay shore.
- Higher depression rates are seen in Billings at 27.8% versus 18.6% in Bay shore.
- Billings has a higher smoking rate at 16.1% compared to 13.8% in Bay shore.
- More residents engage in binge drinking in Billings at 22.9% compared to 15.3% in Bay shore.
- Billings has higher obesity rates at 32.9% compared to 32.0% in Bay shore.
- There is a higher percentage of disabled individuals in Billings 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 | Billings |
|---|---|---|
| No Schooling | 1.7% (506) | 0.3% (321) |
| High School Diploma | 14.9% (4,552) | 14.7% (17,691) |
| Less than High School | 16.0% (4,885) | 5.4% (6,502) |
| Bachelor's Degree and Higher | 21.1% (6,444) | 24.8% (29,705) |
Education Levels Comparison: Bay shore vs Billings
- A higher percentage of residents in Bay shore have no formal schooling at 1.7% compared to 0.3% in Billings.
- A higher percentage of residents in Bay shore hold a high school diploma at 14.9% compared to 14.7% in Billings.
- More residents in Bay shore have less than a high school education at 16.0% compared to 5.4% in Billings.
- In Billings, a larger share of residents have a bachelor's degree or higher at 24.8% compared to 21.1% in Bay shore.
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.