Demographics details for Alcoa, TN vs Florence, OR
Population Overview
Compare main population characteristics in Alcoa, TN vs Florence, OR.
| Data | Alcoa | Florence |
|---|---|---|
| Population | 11,803 | 9,376 |
| Median Age | 36.3 years | 57.7 years |
| Median Income | $63,580 | $57,568 |
| Married Families | 35.0% | 42.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Alcoa vs Florence
- In Alcoa, the population is higher at 11,803, compared to 9,376 in Florence.
- The median age in Florence is higher at 57.7 years, compared to 36.3 years in Alcoa.
- Alcoa has a higher median income of $63,580 compared to $57,568 in Florence.
- In Florence, the percentage of married families is higher at 42.0%, compared to 35.0% in Alcoa.
- The poverty level is identical in both Alcoa and Florence at 10%.
- Florence has a higher unemployment rate at 4.5% compared to 3.2% in Alcoa.
Demographics
Demographics Alcoa vs Florence provide insight into the diversity of the communities to compare.
| Demographic | Alcoa | Florence |
|---|---|---|
| Black | 10 | 2 |
| White | 70 | 87 |
| Asian | 2 | 2 |
| Hispanic | 9 | 5 |
| Two or More Races | 9 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Alcoa vs Florence
- A higher percentage of Black residents are in Alcoa at 10% compared to 2% in Florence.
- The percentage of White residents is higher in Florence at 87% compared to 70% in Alcoa.
- Both Alcoa and Florence have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Alcoa at 9% compared to 5% in Florence.
- More residents identify as two or more races in Alcoa at 9% compared to 3% in Florence.
- In Florence, the percentage of American Indian residents is higher at 1%, compared to 0% in Alcoa.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Alcoa | Florence |
|---|---|---|
| Mental Health Not Good | 19.7% | 19.8% |
| Physical Health Not Good | 13.6% | 13.1% |
| Depression | 27.9% | 29.2% |
| Smoking | 21.8% | 16.7% |
| Binge Drinking | 14.0% | 17.0% |
| Obesity | 35.4% | 36.0% |
| Disability Percentage | 12.0% | 25.0% |
Health Statistics Comparison: Alcoa vs Florence
- In Florence, a higher percentage report poor mental health at 19.8% compared to 19.7% in Alcoa.
- Higher depression rates are seen in Florence at 29.2% versus 27.9% in Alcoa.
- Smoking is more prevalent in Alcoa at 21.8% compared to 16.7% in Florence.
- More residents engage in binge drinking in Florence at 17.0% compared to 14.0% in Alcoa.
- Florence has higher obesity rates at 36.0% compared to 35.4% in Alcoa.
- There is a higher percentage of disabled individuals in Florence at 25.0% compared to 12.0% in Alcoa.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Alcoa | Florence |
|---|---|---|
| No Schooling | 0.5% (62) | 0.4% (35) |
| High School Diploma | 19.2% (2,272) | 14.2% (1,331) |
| Less than High School | 13.0% (1,531) | 15.6% (1,467) |
| Bachelor's Degree and Higher | 21.0% (2,481) | 19.9% (1,865) |
Education Levels Comparison: Alcoa vs Florence
- A higher percentage of residents in Alcoa have no formal schooling at 0.5% compared to 0.4% in Florence.
- A higher percentage of residents in Alcoa hold a high school diploma at 19.2% compared to 14.2% in Florence.
- The percentage of residents with less than a high school education is higher in Florence at 15.6%, compared to 13.0% in Alcoa.
- A higher percentage of residents in Alcoa hold a bachelor's degree or higher at 21.0% compared to 19.9% in Florence.
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.