Demographics details for Sedona, AZ vs Milwaukee, WI
Population Overview
Compare main population characteristics in Sedona, AZ vs Milwaukee, WI.
| Data | Sedona | Milwaukee |
|---|---|---|
| Population | 9,790 | 563,305 |
| Median Age | 58.7 years | 31.8 years |
| Median Income | $62,901 | $49,733 |
| Married Families | 51.0% | 23.0% |
| Poverty Level | 10% | 18% |
| Unemployment Rate | 3.3 | 4.8 |
Population Comparison: Sedona vs Milwaukee
- The population in Milwaukee is higher at 563,305, compared to 9,790 in Sedona.
- Residents in Sedona have a higher median age of 58.7 years compared to 31.8 years in Milwaukee.
- Sedona has a higher median income of $62,901 compared to $49,733 in Milwaukee.
- A higher percentage of married families is found in Sedona at 51.0% compared to 23.0% in Milwaukee.
- The poverty level is higher in Milwaukee at 18%, compared to 10% in Sedona.
- Milwaukee has a higher unemployment rate at 4.8% compared to 3.3% in Sedona.
Demographics
Demographics Sedona vs Milwaukee provide insight into the diversity of the communities to compare.
| Demographic | Sedona | Milwaukee |
|---|---|---|
| Black | 1 | 39 |
| White | 73 | 24 |
| Asian | 3 | 5 |
| Hispanic | 19 | 21 |
| Two or More Races | 4 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Sedona vs Milwaukee
- In Milwaukee, the percentage of Black residents is higher at 39% compared to 1% in Sedona.
- Sedona has a higher percentage of White residents at 73% compared to 24% in Milwaukee.
- In Milwaukee, the Asian population stands at 5%, greater than 3% in Sedona.
- Milwaukee has a higher percentage of Hispanic residents at 21%, compared to 19% in Sedona.
- The percentage of residents identifying as two or more races is higher in Milwaukee at 10%, compared to 4% in Sedona.
- In Milwaukee, the percentage of American Indian residents is higher at 1%, compared to 0% in Sedona.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sedona | Milwaukee |
|---|---|---|
| Mental Health Not Good | 15.0% | 17.5% |
| Physical Health Not Good | 9.1% | 12.7% |
| Depression | 19.7% | 22.9% |
| Smoking | 12.0% | 21.0% |
| Binge Drinking | 17.3% | 21.3% |
| Obesity | 24.5% | 41.6% |
| Disability Percentage | 12.0% | 13.0% |
Health Statistics Comparison: Sedona vs Milwaukee
- In Milwaukee, a higher percentage report poor mental health at 17.5% compared to 15.0% in Sedona.
- Higher depression rates are seen in Milwaukee at 22.9% versus 19.7% in Sedona.
- Milwaukee has a higher smoking rate at 21.0% compared to 12.0% in Sedona.
- More residents engage in binge drinking in Milwaukee at 21.3% compared to 17.3% in Sedona.
- Milwaukee has higher obesity rates at 41.6% compared to 24.5% in Sedona.
- There is a higher percentage of disabled individuals in Milwaukee at 13.0% compared to 12.0% in Sedona.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sedona | Milwaukee |
|---|---|---|
| No Schooling | 0.1% (6) | 1.3% (7,509) |
| High School Diploma | 12.3% (1,206) | 16.7% (93,798) |
| Less than High School | 8.4% (827) | 14.4% (81,002) |
| Bachelor's Degree and Higher | 44.7% (4,375) | 16.6% (93,378) |
Education Levels Comparison: Sedona vs Milwaukee
- In Milwaukee, a larger percentage of residents lack formal schooling at 1.3% compared to 0.1% in Sedona.
- In Milwaukee, the rate of residents with high school diplomas is higher at 16.7% compared to 12.3% in Sedona.
- The percentage of residents with less than a high school education is higher in Milwaukee at 14.4%, 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 16.6% in Milwaukee.
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.