Demographics details for Webster, FL vs Roaring spring, PA
Population Overview
Compare main population characteristics in Webster, FL vs Roaring spring, PA.
| Data | Webster | Roaring spring |
|---|---|---|
| Population | 878 | 2,333 |
| Median Age | 42.4 years | 36.1 years |
| Median Income | $53,125 | $63,194 |
| Married Families | 35.0% | 43.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 3.5 | 5.0 |
Population Comparison: Webster vs Roaring spring
- The population in Roaring spring is higher at 2,333, compared to 878 in Webster.
- Residents in Webster have a higher median age of 42.4 years compared to 36.1 years in Roaring spring.
- Roaring spring has a higher median income of $63,194, compared to $53,125 in Webster.
- In Roaring spring, the percentage of married families is higher at 43.0%, compared to 35.0% in Webster.
- Webster has a higher poverty level at 12% compared to 10% in Roaring spring.
- Roaring spring has a higher unemployment rate at 5.0% compared to 3.5% in Webster.
Demographics
Demographics Webster vs Roaring spring provide insight into the diversity of the communities to compare.
| Demographic | Webster | Roaring spring |
|---|---|---|
| Black | 15 | 1 |
| White | 75 | 91 |
| Asian | Data is updating | Data is updating |
| Hispanic | 62 | 3 |
| Two or More Races | 31 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Webster vs Roaring spring
- A higher percentage of Black residents are in Webster at 15% compared to 1% in Roaring spring.
- The percentage of White residents is higher in Roaring spring at 91% compared to 75% in Webster.
- Both Webster and Roaring spring have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Webster at 62% compared to 3% in Roaring spring.
- More residents identify as two or more races in Webster at 31% compared to 5% in Roaring spring.
- The percentage of American Indian residents is the same in both Webster and Roaring spring at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Webster | Roaring spring |
|---|---|---|
| Mental Health Not Good | 18.9% | 18.2% |
| Physical Health Not Good | 15.6% | 12.2% |
| Depression | 20.6% | 25.5% |
| Smoking | 26.9% | 21.4% |
| Binge Drinking | 14.7% | 18.5% |
| Obesity | 42.4% | 34.7% |
| Disability Percentage | 19.0% | 14.0% |
Health Statistics Comparison: Webster vs Roaring spring
- More residents in Webster report poor mental health at 18.9% compared to 18.2% in Roaring spring.
- Higher depression rates are seen in Roaring spring at 25.5% versus 20.6% in Webster.
- Smoking is more prevalent in Webster at 26.9% compared to 21.4% in Roaring spring.
- More residents engage in binge drinking in Roaring spring at 18.5% compared to 14.7% in Webster.
- Obesity rates are higher in Webster at 42.4% compared to 34.7% in Roaring spring.
- Disability percentages are higher in Webster at 19.0% compared to 14.0% in Roaring spring.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Webster | Roaring spring |
|---|---|---|
| No Schooling | 5.8% (51) | 0.4% (9) |
| High School Diploma | 32.9% (289) | 25.9% (605) |
| Less than High School | 36.4% (320) | 7.2% (168) |
| Bachelor's Degree and Higher | 9.3% (82) | 13.5% (316) |
Education Levels Comparison: Webster vs Roaring spring
- A higher percentage of residents in Webster have no formal schooling at 5.8% compared to 0.4% in Roaring spring.
- A higher percentage of residents in Webster hold a high school diploma at 32.9% compared to 25.9% in Roaring spring.
- More residents in Webster have less than a high school education at 36.4% compared to 7.2% in Roaring spring.
- In Roaring spring, a larger share of residents have a bachelor's degree or higher at 13.5% compared to 9.3% in Webster.
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.