Demographics details for Sylvan beach, NY vs Pahrump, NV
Population Overview
Compare main population characteristics in Sylvan beach, NY vs Pahrump, NV.
Data | Sylvan beach | Pahrump |
---|---|---|
Population | 885 | 44,711 |
Median Age | 50.1 years | 53.7 years |
Median Income | $48,125 | $54,988 |
Married Families | 32.0% | 45.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 4.5 | 5.1 |
Population Comparison: Sylvan beach vs Pahrump
- The population in Pahrump is higher at 44,711, compared to 885 in Sylvan beach.
- The median age in Pahrump is higher at 53.7 years, compared to 50.1 years in Sylvan beach.
- Pahrump has a higher median income of $54,988, compared to $48,125 in Sylvan beach.
- In Pahrump, the percentage of married families is higher at 45.0%, compared to 32.0% in Sylvan beach.
- The poverty level is identical in both Sylvan beach and Pahrump at 10%.
- Pahrump has a higher unemployment rate at 5.1% compared to 4.5% in Sylvan beach.
Demographics
Demographics Sylvan beach vs Pahrump provide insight into the diversity of the communities to compare.
Demographic | Sylvan beach | Pahrump |
---|---|---|
Black | Data is updating | 2 |
White | 94 | 69 |
Asian | 1 | 2 |
Hispanic | 1 | 16 |
Two or More Races | 3 | 10 |
American Indian | 1 | 1 |
Demographics Comparison: Sylvan beach vs Pahrump
- In Pahrump, the percentage of Black residents is higher at 2% compared to 0% in Sylvan beach.
- Sylvan beach has a higher percentage of White residents at 94% compared to 69% in Pahrump.
- In Pahrump, the Asian population stands at 2%, greater than 1% in Sylvan beach.
- Pahrump has a higher percentage of Hispanic residents at 16%, compared to 1% in Sylvan beach.
- The percentage of residents identifying as two or more races is higher in Pahrump at 10%, compared to 3% in Sylvan beach.
- The percentage of American Indian residents is the same in both Sylvan beach and Pahrump at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sylvan beach | Pahrump |
---|---|---|
Mental Health Not Good | 17.8% | 20.8% |
Physical Health Not Good | 11.8% | 14.6% |
Depression | 26.8% | 24.4% |
Smoking | 24.0% | 23.0% |
Binge Drinking | 19.7% | 15.9% |
Obesity | 36.2% | 38.5% |
Disability Percentage | 20.0% | 23.0% |
Health Statistics Comparison: Sylvan beach vs Pahrump
- In Pahrump, a higher percentage report poor mental health at 20.8% compared to 17.8% in Sylvan beach.
- Depression is more prevalent in Sylvan beach at 26.8% compared to 24.4% in Pahrump.
- Smoking is more prevalent in Sylvan beach at 24.0% compared to 23.0% in Pahrump.
- Binge drinking is more common in Sylvan beach at 19.7% compared to 15.9% in Pahrump.
- Pahrump has higher obesity rates at 38.5% compared to 36.2% in Sylvan beach.
- There is a higher percentage of disabled individuals in Pahrump at 23.0% compared to 20.0% in Sylvan beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Sylvan beach | Pahrump |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.1% (507) |
High School Diploma | 28.5% (252) | 23.0% (10,287) |
Less than High School | 14.5% (128) | 20.5% (9,157) |
Bachelor's Degree and Higher | 15.6% (138) | 10.1% (4,495) |
Education Levels Comparison: Sylvan beach vs Pahrump
- In Pahrump, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Sylvan beach.
- A higher percentage of residents in Sylvan beach hold a high school diploma at 28.5% compared to 23.0% in Pahrump.
- The percentage of residents with less than a high school education is higher in Pahrump at 20.5%, compared to 14.5% in Sylvan beach.
- A higher percentage of residents in Sylvan beach hold a bachelor's degree or higher at 15.6% compared to 10.1% in Pahrump.
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.