Demographics details for Bay shore, NY vs Las vegas, NV
Population Overview
Compare main population characteristics in Bay shore, NY vs Las vegas, NV.
Data | Bay shore | Las vegas |
---|---|---|
Population | 30,553 | 656,274 |
Median Age | 36.4 years | 38.1 years |
Median Income | $103,272 | $66,356 |
Married Families | 32.0% | 34.0% |
Poverty Level | 5% | 14% |
Unemployment Rate | 4.2 | 6.3 |
Population Comparison: Bay shore vs Las vegas
- The population in Las vegas is higher at 656,274, compared to 30,553 in Bay shore.
- The median age in Las vegas is higher at 38.1 years, compared to 36.4 years in Bay shore.
- Bay shore has a higher median income of $103,272 compared to $66,356 in Las vegas.
- In Las vegas, the percentage of married families is higher at 34.0%, compared to 32.0% in Bay shore.
- The poverty level is higher in Las vegas at 14%, compared to 5% in Bay shore.
- Las vegas has a higher unemployment rate at 6.3% compared to 4.2% in Bay shore.
Demographics
Demographics Bay shore vs Las vegas provide insight into the diversity of the communities to compare.
Demographic | Bay shore | Las vegas |
---|---|---|
Black | 15 | 12 |
White | 31 | 32 |
Asian | 9 | 7 |
Hispanic | 33 | 34 |
Two or More Races | 10 | 14 |
American Indian | 2 | 1 |
Demographics Comparison: Bay shore vs Las vegas
- A higher percentage of Black residents are in Bay shore at 15% compared to 12% in Las vegas.
- The percentage of White residents is higher in Las vegas at 32% compared to 31% in Bay shore.
- The Asian population is larger in Bay shore at 9% compared to 7% in Las vegas.
- Las vegas has a higher percentage of Hispanic residents at 34%, compared to 33% in Bay shore.
- The percentage of residents identifying as two or more races is higher in Las vegas at 14%, compared to 10% in Bay shore.
- A greater percentage of American Indian residents live in Bay shore at 2% compared to 1% in Las vegas.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Bay shore | Las vegas |
---|---|---|
Mental Health Not Good | 14.6% | 18.5% |
Physical Health Not Good | 9.7% | 13.9% |
Depression | 18.6% | 19.4% |
Smoking | 13.8% | 18.0% |
Binge Drinking | 15.3% | 13.4% |
Obesity | 32.0% | 32.3% |
Disability Percentage | 8.0% | 12.0% |
Health Statistics Comparison: Bay shore vs Las vegas
- In Las vegas, a higher percentage report poor mental health at 18.5% compared to 14.6% in Bay shore.
- Higher depression rates are seen in Las vegas at 19.4% versus 18.6% in Bay shore.
- Las vegas has a higher smoking rate at 18.0% compared to 13.8% in Bay shore.
- Binge drinking is more common in Bay shore at 15.3% compared to 13.4% in Las vegas.
- Las vegas has higher obesity rates at 32.3% compared to 32.0% in Bay shore.
- There is a higher percentage of disabled individuals in Las vegas at 12.0% 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 | Las vegas |
---|---|---|
No Schooling | 1.7% (506) | 1.6% (10,417) |
High School Diploma | 14.9% (4,552) | 15.8% (103,676) |
Less than High School | 16.0% (4,885) | 17.9% (117,445) |
Bachelor's Degree and Higher | 21.1% (6,444) | 17.7% (116,264) |
Education Levels Comparison: Bay shore vs Las vegas
- A higher percentage of residents in Bay shore have no formal schooling at 1.7% compared to 1.6% in Las vegas.
- In Las vegas, the rate of residents with high school diplomas is higher at 15.8% compared to 14.9% in Bay shore.
- The percentage of residents with less than a high school education is higher in Las vegas at 17.9%, 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 17.7% in Las vegas.
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.