Demographics details for Sedona, AZ vs Beaver dam, WI
Population Overview
Compare main population characteristics in Sedona, AZ vs Beaver dam, WI.
| Data | Sedona | Beaver dam |
|---|---|---|
| Population | 9,790 | 16,582 |
| Median Age | 58.7 years | 40.4 years |
| Median Income | $62,901 | $65,802 |
| Married Families | 51.0% | 35.0% |
| Poverty Level | 10% | Data is updating |
| Unemployment Rate | 3.3 | 3.1 |
Population Comparison: Sedona vs Beaver dam
- The population in Beaver dam is higher at 16,582, compared to 9,790 in Sedona.
- Residents in Sedona have a higher median age of 58.7 years compared to 40.4 years in Beaver dam.
- Beaver dam has a higher median income of $65,802, compared to $62,901 in Sedona.
- A higher percentage of married families is found in Sedona at 51.0% compared to 35.0% in Beaver dam.
- Sedona has a higher poverty level at 10% compared to 0% in Beaver dam.
- The unemployment rate in Sedona is higher at 3.3%, compared to 3.1% in Beaver dam.
Demographics
Demographics Sedona vs Beaver dam provide insight into the diversity of the communities to compare.
| Demographic | Sedona | Beaver dam |
|---|---|---|
| Black | 1 | 3 |
| White | 73 | 81 |
| Asian | 3 | 2 |
| Hispanic | 19 | 8 |
| Two or More Races | 4 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sedona vs Beaver dam
- In Beaver dam, the percentage of Black residents is higher at 3% compared to 1% in Sedona.
- The percentage of White residents is higher in Beaver dam at 81% compared to 73% in Sedona.
- The Asian population is larger in Sedona at 3% compared to 2% in Beaver dam.
- The Hispanic community is larger in Sedona at 19% compared to 8% in Beaver dam.
- The percentage of residents identifying as two or more races is higher in Beaver dam at 6%, compared to 4% in Sedona.
- The percentage of American Indian residents is the same in both Sedona and Beaver dam at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sedona | Beaver dam |
|---|---|---|
| Mental Health Not Good | 15.0% | 15.7% |
| Physical Health Not Good | 9.1% | 10.6% |
| Depression | 19.7% | 23.6% |
| Smoking | 12.0% | 17.6% |
| Binge Drinking | 17.3% | 23.5% |
| Obesity | 24.5% | 36.6% |
| Disability Percentage | 12.0% | 11.0% |
Health Statistics Comparison: Sedona vs Beaver dam
- In Beaver dam, a higher percentage report poor mental health at 15.7% compared to 15.0% in Sedona.
- Higher depression rates are seen in Beaver dam at 23.6% versus 19.7% in Sedona.
- Beaver dam has a higher smoking rate at 17.6% compared to 12.0% in Sedona.
- More residents engage in binge drinking in Beaver dam at 23.5% compared to 17.3% in Sedona.
- Beaver dam has higher obesity rates at 36.6% compared to 24.5% in Sedona.
- Disability percentages are higher in Sedona at 12.0% compared to 11.0% in Beaver dam.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sedona | Beaver dam |
|---|---|---|
| No Schooling | 0.1% (6) | 0.3% (47) |
| High School Diploma | 12.3% (1,206) | 23.8% (3,947) |
| Less than High School | 8.4% (827) | 10.3% (1,706) |
| Bachelor's Degree and Higher | 44.7% (4,375) | 18.2% (3,023) |
Education Levels Comparison: Sedona vs Beaver dam
- In Beaver dam, a larger percentage of residents lack formal schooling at 0.3% compared to 0.1% in Sedona.
- In Beaver dam, the rate of residents with high school diplomas is higher at 23.8% compared to 12.3% in Sedona.
- The percentage of residents with less than a high school education is higher in Beaver dam at 10.3%, compared to 8.4% in Sedona.
- A higher percentage of residents in Sedona hold a bachelor's degree or higher at 44.7% compared to 18.2% in Beaver dam.
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.