Demographics details for Falling waters, WV vs Erwin, TN
Population Overview
Compare main population characteristics in Falling waters, WV vs Erwin, TN.
| Data | Falling waters | Erwin |
|---|---|---|
| Population | 2,150 | 5,953 |
| Median Age | 32.2 years | 46.8 years |
| Median Income | $84,038 | $40,670 |
| Married Families | 29.0% | 48.0% |
| Poverty Level | 9% | 12% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Falling waters vs Erwin
- The population in Erwin is higher at 5,953, compared to 2,150 in Falling waters.
- The median age in Erwin is higher at 46.8 years, compared to 32.2 years in Falling waters.
- Falling waters has a higher median income of $84,038 compared to $40,670 in Erwin.
- In Erwin, the percentage of married families is higher at 48.0%, compared to 29.0% in Falling waters.
- The poverty level is higher in Erwin at 12%, compared to 9% in Falling waters.
- Erwin has a higher unemployment rate at 4.5% compared to 3.5% in Falling waters.
Demographics
Demographics Falling waters vs Erwin provide insight into the diversity of the communities to compare.
| Demographic | Falling waters | Erwin |
|---|---|---|
| Black | 6 | Data is updating |
| White | 92 | 87 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 8 |
| Two or More Races | 2 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Falling waters vs Erwin
- A higher percentage of Black residents are in Falling waters at 6% compared to 0% in Erwin.
- Falling waters has a higher percentage of White residents at 92% compared to 87% in Erwin.
- Both Falling waters and Erwin have the same percentage of Asian residents at 0%.
- Erwin has a higher percentage of Hispanic residents at 8%, compared to 0% in Falling waters.
- The percentage of residents identifying as two or more races is higher in Erwin at 5%, compared to 2% in Falling waters.
- The percentage of American Indian residents is the same in both Falling waters and Erwin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Falling waters | Erwin |
|---|---|---|
| Mental Health Not Good | 18.5% | 20.2% |
| Physical Health Not Good | 11.9% | 14.1% |
| Depression | 25.7% | 29.7% |
| Smoking | 18.7% | 23.6% |
| Binge Drinking | 15.2% | 15.9% |
| Obesity | 37.6% | 38.0% |
| Disability Percentage | 24.0% | 21.0% |
Health Statistics Comparison: Falling waters vs Erwin
- In Erwin, a higher percentage report poor mental health at 20.2% compared to 18.5% in Falling waters.
- Higher depression rates are seen in Erwin at 29.7% versus 25.7% in Falling waters.
- Erwin has a higher smoking rate at 23.6% compared to 18.7% in Falling waters.
- More residents engage in binge drinking in Erwin at 15.9% compared to 15.2% in Falling waters.
- Erwin has higher obesity rates at 38.0% compared to 37.6% in Falling waters.
- Disability percentages are higher in Falling waters at 24.0% compared to 21.0% in Erwin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Falling waters | Erwin |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.3% (15) |
| High School Diploma | 22.4% (482) | 20.2% (1,201) |
| Less than High School | 4.7% (102) | 19.7% (1,170) |
| Bachelor's Degree and Higher | 11.0% (237) | 11.7% (698) |
Education Levels Comparison: Falling waters vs Erwin
- In Erwin, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Falling waters.
- A higher percentage of residents in Falling waters hold a high school diploma at 22.4% compared to 20.2% in Erwin.
- The percentage of residents with less than a high school education is higher in Erwin at 19.7%, compared to 4.7% in Falling waters.
- In Erwin, a larger share of residents have a bachelor's degree or higher at 11.7% 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.