Demographics details for Livingston, TX vs Sylvan beach, NY
Population Overview
Compare main population characteristics in Livingston, TX vs Sylvan beach, NY.
Data | Livingston | Sylvan beach |
---|---|---|
Population | 5,784 | 885 |
Median Age | 36.9 years | 50.1 years |
Median Income | $47,952 | $48,125 |
Married Families | 28.0% | 32.0% |
Poverty Level | 12% | 10% |
Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Livingston vs Sylvan beach
- In Livingston, the population is higher at 5,784, compared to 885 in Sylvan beach.
- The median age in Sylvan beach is higher at 50.1 years, compared to 36.9 years in Livingston.
- Sylvan beach has a higher median income of $48,125, compared to $47,952 in Livingston.
- In Sylvan beach, the percentage of married families is higher at 32.0%, compared to 28.0% in Livingston.
- Livingston has a higher poverty level at 12% compared to 10% in Sylvan beach.
- Sylvan beach has a higher unemployment rate at 4.5% compared to 3.5% in Livingston.
Demographics
Demographics Livingston vs Sylvan beach provide insight into the diversity of the communities to compare.
Demographic | Livingston | Sylvan beach |
---|---|---|
Black | 18 | Data is updating |
White | 38 | 94 |
Asian | 2 | 1 |
Hispanic | 29 | 1 |
Two or More Races | 13 | 3 |
American Indian | Data is updating | 1 |
Demographics Comparison: Livingston vs Sylvan beach
- A higher percentage of Black residents are in Livingston at 18% compared to 0% in Sylvan beach.
- The percentage of White residents is higher in Sylvan beach at 94% compared to 38% in Livingston.
- The Asian population is larger in Livingston at 2% compared to 1% in Sylvan beach.
- The Hispanic community is larger in Livingston at 29% compared to 1% in Sylvan beach.
- More residents identify as two or more races in Livingston at 13% compared to 3% in Sylvan beach.
- In Sylvan beach, the percentage of American Indian residents is higher at 1%, compared to 0% in Livingston.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Livingston | Sylvan beach |
---|---|---|
Mental Health Not Good | 18.7% | 17.8% |
Physical Health Not Good | 13.1% | 11.8% |
Depression | 24.1% | 26.8% |
Smoking | 19.9% | 24.0% |
Binge Drinking | 17.9% | 19.7% |
Obesity | 42.1% | 36.2% |
Disability Percentage | 19.0% | 20.0% |
Health Statistics Comparison: Livingston vs Sylvan beach
- More residents in Livingston report poor mental health at 18.7% compared to 17.8% in Sylvan beach.
- Higher depression rates are seen in Sylvan beach at 26.8% versus 24.1% in Livingston.
- Sylvan beach has a higher smoking rate at 24.0% compared to 19.9% in Livingston.
- More residents engage in binge drinking in Sylvan beach at 19.7% compared to 17.9% in Livingston.
- Obesity rates are higher in Livingston at 42.1% compared to 36.2% in Sylvan beach.
- There is a higher percentage of disabled individuals in Sylvan beach at 20.0% compared to 19.0% in Livingston.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Livingston | Sylvan beach |
---|---|---|
No Schooling | 2.1% (123) | 0.0% (Data is updating) |
High School Diploma | 20.7% (1,198) | 28.5% (252) |
Less than High School | 22.3% (1,289) | 14.5% (128) |
Bachelor's Degree and Higher | 9.0% (518) | 15.6% (138) |
Education Levels Comparison: Livingston vs Sylvan beach
- A higher percentage of residents in Livingston have no formal schooling at 2.1% 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 20.7% in Livingston.
- More residents in Livingston have less than a high school education at 22.3% 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 9.0% in Livingston.
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.