Demographics details for Taylor, PA vs Falling waters, WV
Population Overview
Compare main population characteristics in Taylor, PA vs Falling waters, WV.
| Data | Taylor | Falling waters |
|---|---|---|
| Population | 6,251 | 2,150 |
| Median Age | 38.4 years | 32.2 years |
| Median Income | $57,667 | $84,038 |
| Married Families | 29.0% | 29.0% |
| Poverty Level | 10% | 9% |
| Unemployment Rate | 5.0 | 3.5 |
Population Comparison: Taylor vs Falling waters
- In Taylor, the population is higher at 6,251, compared to 2,150 in Falling waters.
- Residents in Taylor have a higher median age of 38.4 years compared to 32.2 years in Falling waters.
- Falling waters has a higher median income of $84,038, compared to $57,667 in Taylor.
- The percentage of married families is the same in both Taylor and Falling waters at 29.0%.
- Taylor has a higher poverty level at 10% compared to 9% in Falling waters.
- The unemployment rate in Taylor is higher at 5.0%, compared to 3.5% in Falling waters.
Demographics
Demographics Taylor vs Falling waters provide insight into the diversity of the communities to compare.
| Demographic | Taylor | Falling waters |
|---|---|---|
| Black | 1 | 6 |
| White | 76 | 92 |
| Asian | 1 | Data is updating |
| Hispanic | 15 | Data is updating |
| Two or More Races | 7 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Taylor vs Falling waters
- In Falling waters, the percentage of Black residents is higher at 6% compared to 1% in Taylor.
- The percentage of White residents is higher in Falling waters at 92% compared to 76% in Taylor.
- The Asian population is larger in Taylor at 1% compared to 0% in Falling waters.
- The Hispanic community is larger in Taylor at 15% compared to 0% in Falling waters.
- More residents identify as two or more races in Taylor at 7% compared to 2% in Falling waters.
- The percentage of American Indian residents is the same in both Taylor and Falling waters at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Taylor | Falling waters |
|---|---|---|
| Mental Health Not Good | 18.7% | 18.5% |
| Physical Health Not Good | 13.5% | 11.9% |
| Depression | 24.8% | 25.7% |
| Smoking | 22.9% | 18.7% |
| Binge Drinking | 16.8% | 15.2% |
| Obesity | 34.6% | 37.6% |
| Disability Percentage | 18.0% | 24.0% |
Health Statistics Comparison: Taylor vs Falling waters
- More residents in Taylor report poor mental health at 18.7% compared to 18.5% in Falling waters.
- Higher depression rates are seen in Falling waters at 25.7% versus 24.8% in Taylor.
- Smoking is more prevalent in Taylor at 22.9% compared to 18.7% in Falling waters.
- Binge drinking is more common in Taylor at 16.8% compared to 15.2% in Falling waters.
- Falling waters has higher obesity rates at 37.6% compared to 34.6% in Taylor.
- There is a higher percentage of disabled individuals in Falling waters at 24.0% compared to 18.0% in Taylor.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Taylor | Falling waters |
|---|---|---|
| No Schooling | 0.7% (42) | 0.0% (Data is updating) |
| High School Diploma | 28.0% (1,753) | 22.4% (482) |
| Less than High School | 15.4% (963) | 4.7% (102) |
| Bachelor's Degree and Higher | 15.2% (951) | 11.0% (237) |
Education Levels Comparison: Taylor vs Falling waters
- A higher percentage of residents in Taylor have no formal schooling at 0.7% compared to 0.0% in Falling waters.
- A higher percentage of residents in Taylor hold a high school diploma at 28.0% compared to 22.4% in Falling waters.
- More residents in Taylor have less than a high school education at 15.4% compared to 4.7% in Falling waters.
- A higher percentage of residents in Taylor hold a bachelor's degree or higher at 15.2% compared to 11.0% in Falling waters.
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.