Demographics details for Boulder city, NV vs Erwin, TN
Population Overview
Compare main population characteristics in Boulder city, NV vs Erwin, TN.
| Data | Boulder city | Erwin |
|---|---|---|
| Population | 14,890 | 5,953 |
| Median Age | 51.1 years | 46.8 years |
| Median Income | $76,402 | $40,670 |
| Married Families | 45.0% | 48.0% |
| Poverty Level | 9% | 12% |
| Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Boulder city vs Erwin
- In Boulder city, the population is higher at 14,890, compared to 5,953 in Erwin.
- Residents in Boulder city have a higher median age of 51.1 years compared to 46.8 years in Erwin.
- Boulder city has a higher median income of $76,402 compared to $40,670 in Erwin.
- In Erwin, the percentage of married families is higher at 48.0%, compared to 45.0% in Boulder city.
- The poverty level is higher in Erwin at 12%, compared to 9% in Boulder city.
- Erwin has a higher unemployment rate at 4.5% compared to 4.2% in Boulder city.
Demographics
Demographics Boulder city vs Erwin provide insight into the diversity of the communities to compare.
| Demographic | Boulder city | Erwin |
|---|---|---|
| Black | 1 | Data is updating |
| White | 82 | 87 |
| Asian | 1 | Data is updating |
| Hispanic | 9 | 8 |
| Two or More Races | 7 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Boulder city vs Erwin
- A higher percentage of Black residents are in Boulder city at 1% compared to 0% in Erwin.
- The percentage of White residents is higher in Erwin at 87% compared to 82% in Boulder city.
- The Asian population is larger in Boulder city at 1% compared to 0% in Erwin.
- The Hispanic community is larger in Boulder city at 9% compared to 8% in Erwin.
- More residents identify as two or more races in Boulder city at 7% compared to 5% in Erwin.
- The percentage of American Indian residents is the same in both Boulder city and Erwin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Boulder city | Erwin |
|---|---|---|
| Mental Health Not Good | 17.9% | 20.2% |
| Physical Health Not Good | 11.7% | 14.1% |
| Depression | 21.1% | 29.7% |
| Smoking | 15.9% | 23.6% |
| Binge Drinking | 15.5% | 15.9% |
| Obesity | 29.2% | 38.0% |
| Disability Percentage | 15.0% | 21.0% |
Health Statistics Comparison: Boulder city vs Erwin
- In Erwin, a higher percentage report poor mental health at 20.2% compared to 17.9% in Boulder city.
- Higher depression rates are seen in Erwin at 29.7% versus 21.1% in Boulder city.
- Erwin has a higher smoking rate at 23.6% compared to 15.9% in Boulder city.
- More residents engage in binge drinking in Erwin at 15.9% compared to 15.5% in Boulder city.
- Erwin has higher obesity rates at 38.0% compared to 29.2% in Boulder city.
- There is a higher percentage of disabled individuals in Erwin at 21.0% compared to 15.0% in Boulder city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Boulder city | Erwin |
|---|---|---|
| No Schooling | 0.6% (90) | 0.3% (15) |
| High School Diploma | 18.6% (2,767) | 20.2% (1,201) |
| Less than High School | 5.9% (874) | 19.7% (1,170) |
| Bachelor's Degree and Higher | 24.1% (3,590) | 11.7% (698) |
Education Levels Comparison: Boulder city vs Erwin
- A higher percentage of residents in Boulder city have no formal schooling at 0.6% compared to 0.3% in Erwin.
- In Erwin, the rate of residents with high school diplomas is higher at 20.2% compared to 18.6% in Boulder city.
- The percentage of residents with less than a high school education is higher in Erwin at 19.7%, compared to 5.9% in Boulder city.
- A higher percentage of residents in Boulder city hold a bachelor's degree or higher at 24.1% compared to 11.7% in Erwin.
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.