Demographics details for Pasco, WA vs Sylvan beach, NY
Population Overview
Compare main population characteristics in Pasco, WA vs Sylvan beach, NY.
Data | Pasco | Sylvan beach |
---|---|---|
Population | 79,315 | 885 |
Median Age | 30.1 years | 50.1 years |
Median Income | $75,316 | $48,125 |
Married Families | 34.0% | 32.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 5.3 | 4.5 |
Population Comparison: Pasco vs Sylvan beach
- In Pasco, the population is higher at 79,315, compared to 885 in Sylvan beach.
- The median age in Sylvan beach is higher at 50.1 years, compared to 30.1 years in Pasco.
- Pasco has a higher median income of $75,316 compared to $48,125 in Sylvan beach.
- A higher percentage of married families is found in Pasco at 34.0% compared to 32.0% in Sylvan beach.
- The poverty level is identical in both Pasco and Sylvan beach at 10%.
- The unemployment rate in Pasco is higher at 5.3%, compared to 4.5% in Sylvan beach.
Demographics
Demographics Pasco vs Sylvan beach provide insight into the diversity of the communities to compare.
Demographic | Pasco | Sylvan beach |
---|---|---|
Black | 2 | Data is updating |
White | 23 | 94 |
Asian | 2 | 1 |
Hispanic | 54 | 1 |
Two or More Races | 17 | 3 |
American Indian | 2 | 1 |
Demographics Comparison: Pasco vs Sylvan beach
- A higher percentage of Black residents are in Pasco at 2% compared to 0% in Sylvan beach.
- The percentage of White residents is higher in Sylvan beach at 94% compared to 23% in Pasco.
- The Asian population is larger in Pasco at 2% compared to 1% in Sylvan beach.
- The Hispanic community is larger in Pasco at 54% compared to 1% in Sylvan beach.
- More residents identify as two or more races in Pasco at 17% compared to 3% in Sylvan beach.
- A greater percentage of American Indian residents live in Pasco at 2% compared to 1% in Sylvan beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pasco | Sylvan beach |
---|---|---|
Mental Health Not Good | 17.6% | 17.8% |
Physical Health Not Good | 13.8% | 11.8% |
Depression | 24.9% | 26.8% |
Smoking | 15.8% | 24.0% |
Binge Drinking | 15.9% | 19.7% |
Obesity | 36.8% | 36.2% |
Disability Percentage | 12.0% | 20.0% |
Health Statistics Comparison: Pasco vs Sylvan beach
- In Sylvan beach, a higher percentage report poor mental health at 17.8% compared to 17.6% in Pasco.
- Higher depression rates are seen in Sylvan beach at 26.8% versus 24.9% in Pasco.
- Sylvan beach has a higher smoking rate at 24.0% compared to 15.8% in Pasco.
- More residents engage in binge drinking in Sylvan beach at 19.7% compared to 15.9% in Pasco.
- Obesity rates are higher in Pasco at 36.8% compared to 36.2% in Sylvan beach.
- There is a higher percentage of disabled individuals in Sylvan beach at 20.0% compared to 12.0% in Pasco.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Pasco | Sylvan beach |
---|---|---|
No Schooling | 3.5% (2,742) | 0.0% (Data is updating) |
High School Diploma | 10.8% (8,575) | 28.5% (252) |
Less than High School | 26.4% (20,937) | 14.5% (128) |
Bachelor's Degree and Higher | 11.0% (8,686) | 15.6% (138) |
Education Levels Comparison: Pasco vs Sylvan beach
- A higher percentage of residents in Pasco have no formal schooling at 3.5% compared to 0.0% in Sylvan beach.
- In Sylvan beach, the rate of residents with high school diplomas is higher at 28.5% compared to 10.8% in Pasco.
- More residents in Pasco have less than a high school education at 26.4% compared to 14.5% in Sylvan beach.
- In Sylvan beach, a larger share of residents have a bachelor's degree or higher at 15.6% compared to 11.0% in Pasco.
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.