Demographics details for Safford, AZ vs Sunrise beach, MO
Population Overview
Compare main population characteristics in Safford, AZ vs Sunrise beach, MO.
Data | Safford | Sunrise beach |
---|---|---|
Population | 10,297 | 475 |
Median Age | 31.6 years | 43.9 years |
Median Income | $64,860 | $46,389 |
Married Families | 33.0% | 33.0% |
Poverty Level | Data is updating | 12% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Safford vs Sunrise beach
- In Safford, the population is higher at 10,297, compared to 475 in Sunrise beach.
- The median age in Sunrise beach is higher at 43.9 years, compared to 31.6 years in Safford.
- Safford has a higher median income of $64,860 compared to $46,389 in Sunrise beach.
- The percentage of married families is the same in both Safford and Sunrise beach at 33.0%.
- The poverty level is higher in Sunrise beach at 12%, compared to 0% in Safford.
- The unemployment rate is the same in both Safford and Sunrise beach at 3.5%.
Demographics
Demographics Safford vs Sunrise beach provide insight into the diversity of the communities to compare.
Demographic | Safford | Sunrise beach |
---|---|---|
Black | 2 | 1 |
White | 31 | 91 |
Asian | 1 | 1 |
Hispanic | 50 | 5 |
Two or More Races | 15 | 1 |
American Indian | 1 | 1 |
Demographics Comparison: Safford vs Sunrise beach
- A higher percentage of Black residents are in Safford at 2% compared to 1% in Sunrise beach.
- The percentage of White residents is higher in Sunrise beach at 91% compared to 31% in Safford.
- Both Safford and Sunrise beach have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Safford at 50% compared to 5% in Sunrise beach.
- More residents identify as two or more races in Safford at 15% compared to 1% in Sunrise beach.
- The percentage of American Indian residents is the same in both Safford and Sunrise beach at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Safford | Sunrise beach |
---|---|---|
Mental Health Not Good | 17.2% | 17.7% |
Physical Health Not Good | 12.2% | 12.6% |
Depression | 19.9% | 25.2% |
Smoking | 16.6% | 20.6% |
Binge Drinking | 17.0% | 19.7% |
Obesity | 35.2% | 37.2% |
Disability Percentage | 14.0% | 17.0% |
Health Statistics Comparison: Safford vs Sunrise beach
- In Sunrise beach, a higher percentage report poor mental health at 17.7% compared to 17.2% in Safford.
- Higher depression rates are seen in Sunrise beach at 25.2% versus 19.9% in Safford.
- Sunrise beach has a higher smoking rate at 20.6% compared to 16.6% in Safford.
- More residents engage in binge drinking in Sunrise beach at 19.7% compared to 17.0% in Safford.
- Sunrise beach has higher obesity rates at 37.2% compared to 35.2% in Safford.
- There is a higher percentage of disabled individuals in Sunrise beach at 17.0% compared to 14.0% in Safford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Safford | Sunrise beach |
---|---|---|
No Schooling | 2.7% (274) | 1.1% (5) |
High School Diploma | 11.1% (1,147) | 20.8% (99) |
Less than High School | 17.7% (1,825) | 2.9% (14) |
Bachelor's Degree and Higher | 10.6% (1,092) | 25.5% (121) |
Education Levels Comparison: Safford vs Sunrise beach
- A higher percentage of residents in Safford have no formal schooling at 2.7% compared to 1.1% in Sunrise beach.
- In Sunrise beach, the rate of residents with high school diplomas is higher at 20.8% compared to 11.1% in Safford.
- More residents in Safford have less than a high school education at 17.7% compared to 2.9% in Sunrise beach.
- In Sunrise beach, a larger share of residents have a bachelor's degree or higher at 25.5% compared to 10.6% in Safford.
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.