Demographics details for Blue ridge, GA vs Bay shore, NY
Population Overview
Compare main population characteristics in Blue ridge, GA vs Bay shore, NY.
| Data | Blue ridge | Bay shore |
|---|---|---|
| Population | 1,226 | 30,553 |
| Median Age | 47.3 years | 36.4 years |
| Median Income | $34,659 | $103,272 |
| Married Families | 42.0% | 32.0% |
| Poverty Level | 14% | 5% |
| Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Blue ridge vs Bay shore
- The population in Bay shore is higher at 30,553, compared to 1,226 in Blue ridge.
- Residents in Blue ridge have a higher median age of 47.3 years compared to 36.4 years in Bay shore.
- Bay shore has a higher median income of $103,272, compared to $34,659 in Blue ridge.
- A higher percentage of married families is found in Blue ridge at 42.0% compared to 32.0% in Bay shore.
- Blue ridge has a higher poverty level at 14% compared to 5% in Bay shore.
- Bay shore has a higher unemployment rate at 4.2% compared to 3.5% in Blue ridge.
Demographics
Demographics Blue ridge vs Bay shore provide insight into the diversity of the communities to compare.
| Demographic | Blue ridge | Bay shore |
|---|---|---|
| Black | 3 | 15 |
| White | 93 | 31 |
| Asian | Data is updating | 9 |
| Hispanic | 3 | 33 |
| Two or More Races | 1 | 10 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Blue ridge vs Bay shore
- In Bay shore, the percentage of Black residents is higher at 15% compared to 3% in Blue ridge.
- Blue ridge has a higher percentage of White residents at 93% compared to 31% in Bay shore.
- In Bay shore, the Asian population stands at 9%, greater than 0% in Blue ridge.
- Bay shore has a higher percentage of Hispanic residents at 33%, compared to 3% in Blue ridge.
- The percentage of residents identifying as two or more races is higher in Bay shore at 10%, compared to 1% in Blue ridge.
- In Bay shore, the percentage of American Indian residents is higher at 2%, compared to 0% in Blue ridge.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Blue ridge | Bay shore |
|---|---|---|
| Mental Health Not Good | 17.5% | 14.6% |
| Physical Health Not Good | 12.4% | 9.7% |
| Depression | 23.5% | 18.6% |
| Smoking | 18.6% | 13.8% |
| Binge Drinking | 17.3% | 15.3% |
| Obesity | 32.9% | 32.0% |
| Disability Percentage | 27.0% | 8.0% |
Health Statistics Comparison: Blue ridge vs Bay shore
- More residents in Blue ridge report poor mental health at 17.5% compared to 14.6% in Bay shore.
- Depression is more prevalent in Blue ridge at 23.5% compared to 18.6% in Bay shore.
- Smoking is more prevalent in Blue ridge at 18.6% compared to 13.8% in Bay shore.
- Binge drinking is more common in Blue ridge at 17.3% compared to 15.3% in Bay shore.
- Obesity rates are higher in Blue ridge at 32.9% compared to 32.0% in Bay shore.
- Disability percentages are higher in Blue ridge at 27.0% 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 | Blue ridge | Bay shore |
|---|---|---|
| No Schooling | 3.5% (43) | 1.7% (506) |
| High School Diploma | 21.1% (259) | 14.9% (4,552) |
| Less than High School | 38.8% (476) | 16.0% (4,885) |
| Bachelor's Degree and Higher | 15.3% (187) | 21.1% (6,444) |
Education Levels Comparison: Blue ridge vs Bay shore
- A higher percentage of residents in Blue ridge have no formal schooling at 3.5% compared to 1.7% in Bay shore.
- A higher percentage of residents in Blue ridge hold a high school diploma at 21.1% compared to 14.9% in Bay shore.
- More residents in Blue ridge have less than a high school education at 38.8% compared to 16.0% in Bay shore.
- In Bay shore, a larger share of residents have a bachelor's degree or higher at 21.1% compared to 15.3% in Blue ridge.
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.