Demographics details for Cave creek, AZ vs Dayton, TN
Population Overview
Compare main population characteristics in Cave creek, AZ vs Dayton, TN.
| Data | Cave creek | Dayton |
|---|---|---|
| Population | 5,135 | 7,347 |
| Median Age | 58.1 years | 34.6 years |
| Median Income | $90,824 | $54,511 |
| Married Families | 54.0% | 36.0% |
| Poverty Level | 8% | 15% |
| Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Cave creek vs Dayton
- The population in Dayton is higher at 7,347, compared to 5,135 in Cave creek.
- Residents in Cave creek have a higher median age of 58.1 years compared to 34.6 years in Dayton.
- Cave creek has a higher median income of $90,824 compared to $54,511 in Dayton.
- A higher percentage of married families is found in Cave creek at 54.0% compared to 36.0% in Dayton.
- The poverty level is higher in Dayton at 15%, compared to 8% in Cave creek.
- The unemployment rate in Cave creek is higher at 4.2%, compared to 3.5% in Dayton.
Demographics
Demographics Cave creek vs Dayton provide insight into the diversity of the communities to compare.
| Demographic | Cave creek | Dayton |
|---|---|---|
| Black | 2 | 4 |
| White | 88 | 83 |
| Asian | 1 | 2 |
| Hispanic | 5 | 6 |
| Two or More Races | 4 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cave creek vs Dayton
- In Dayton, the percentage of Black residents is higher at 4% compared to 2% in Cave creek.
- Cave creek has a higher percentage of White residents at 88% compared to 83% in Dayton.
- In Dayton, the Asian population stands at 2%, greater than 1% in Cave creek.
- Dayton has a higher percentage of Hispanic residents at 6%, compared to 5% in Cave creek.
- The percentage of residents identifying as two or more races is higher in Dayton at 5%, compared to 4% in Cave creek.
- The percentage of American Indian residents is the same in both Cave creek and Dayton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cave creek | Dayton |
|---|---|---|
| Mental Health Not Good | 15.5% | 22.9% |
| Physical Health Not Good | 8.5% | 17.4% |
| Depression | 20.0% | 32.0% |
| Smoking | 11.3% | 28.8% |
| Binge Drinking | 19.5% | 13.4% |
| Obesity | 27.7% | 44.2% |
| Disability Percentage | 14.0% | 20.0% |
Health Statistics Comparison: Cave creek vs Dayton
- In Dayton, a higher percentage report poor mental health at 22.9% compared to 15.5% in Cave creek.
- Higher depression rates are seen in Dayton at 32.0% versus 20.0% in Cave creek.
- Dayton has a higher smoking rate at 28.8% compared to 11.3% in Cave creek.
- Binge drinking is more common in Cave creek at 19.5% compared to 13.4% in Dayton.
- Dayton has higher obesity rates at 44.2% compared to 27.7% in Cave creek.
- There is a higher percentage of disabled individuals in Dayton at 20.0% compared to 14.0% in Cave creek.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cave creek | Dayton |
|---|---|---|
| No Schooling | 1.0% (53) | 2.0% (145) |
| High School Diploma | 11.5% (590) | 19.8% (1,453) |
| Less than High School | 4.2% (218) | 23.6% (1,732) |
| Bachelor's Degree and Higher | 40.9% (2,102) | 10.7% (783) |
Education Levels Comparison: Cave creek vs Dayton
- In Dayton, a larger percentage of residents lack formal schooling at 2.0% compared to 1.0% in Cave creek.
- In Dayton, the rate of residents with high school diplomas is higher at 19.8% compared to 11.5% in Cave creek.
- The percentage of residents with less than a high school education is higher in Dayton at 23.6%, compared to 4.2% in Cave creek.
- A higher percentage of residents in Cave creek hold a bachelor's degree or higher at 40.9% compared to 10.7% in Dayton.
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.