Demographics details for Southaven, MS vs Surprise, AZ
Population Overview
Compare main population characteristics in Southaven, MS vs Surprise, AZ.
| Data | Southaven | Surprise |
|---|---|---|
| Population | 56,360 | 154,198 |
| Median Age | 35.4 years | 41.5 years |
| Median Income | $72,513 | $87,756 |
| Married Families | 37.0% | 44.0% |
| Poverty Level | 12% | 13% |
| Unemployment Rate | 3.2 | 3.9 |
Population Comparison: Southaven vs Surprise
- The population in Surprise is higher at 154,198, compared to 56,360 in Southaven.
- The median age in Surprise is higher at 41.5 years, compared to 35.4 years in Southaven.
- Surprise has a higher median income of $87,756, compared to $72,513 in Southaven.
- In Surprise, the percentage of married families is higher at 44.0%, compared to 37.0% in Southaven.
- The poverty level is higher in Surprise at 13%, compared to 12% in Southaven.
- Surprise has a higher unemployment rate at 3.9% compared to 3.2% in Southaven.
Demographics
Demographics Southaven vs Surprise provide insight into the diversity of the communities to compare.
| Demographic | Southaven | Surprise |
|---|---|---|
| Black | 35 | 5 |
| White | 55 | 63 |
| Asian | 1 | 2 |
| Hispanic | 5 | 20 |
| Two or More Races | 4 | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Southaven vs Surprise
- A higher percentage of Black residents are in Southaven at 35% compared to 5% in Surprise.
- The percentage of White residents is higher in Surprise at 63% compared to 55% in Southaven.
- In Surprise, the Asian population stands at 2%, greater than 1% in Southaven.
- Surprise has a higher percentage of Hispanic residents at 20%, compared to 5% in Southaven.
- The percentage of residents identifying as two or more races is higher in Surprise at 9%, compared to 4% in Southaven.
- In Surprise, the percentage of American Indian residents is higher at 1%, compared to 0% in Southaven.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Southaven | Surprise |
|---|---|---|
| Mental Health Not Good | 15.6% | 17.0% |
| Physical Health Not Good | 10.9% | 10.1% |
| Depression | 22.9% | 20.1% |
| Smoking | 16.7% | 14.4% |
| Binge Drinking | 14.1% | 18.5% |
| Obesity | 39.7% | 30.1% |
| Disability Percentage | 10.0% | 11.0% |
Health Statistics Comparison: Southaven vs Surprise
- In Surprise, a higher percentage report poor mental health at 17.0% compared to 15.6% in Southaven.
- Depression is more prevalent in Southaven at 22.9% compared to 20.1% in Surprise.
- Smoking is more prevalent in Southaven at 16.7% compared to 14.4% in Surprise.
- More residents engage in binge drinking in Surprise at 18.5% compared to 14.1% in Southaven.
- Obesity rates are higher in Southaven at 39.7% compared to 30.1% in Surprise.
- There is a higher percentage of disabled individuals in Surprise at 11.0% compared to 10.0% in Southaven.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Southaven | Surprise |
|---|---|---|
| No Schooling | 1.2% (658) | 0.5% (754) |
| High School Diploma | 15.8% (8,925) | 13.7% (21,050) |
| Less than High School | 8.7% (4,879) | 7.6% (11,792) |
| Bachelor's Degree and Higher | 16.0% (9,035) | 19.9% (30,735) |
Education Levels Comparison: Southaven vs Surprise
- A higher percentage of residents in Southaven have no formal schooling at 1.2% compared to 0.5% in Surprise.
- A higher percentage of residents in Southaven hold a high school diploma at 15.8% compared to 13.7% in Surprise.
- More residents in Southaven have less than a high school education at 8.7% compared to 7.6% in Surprise.
- In Surprise, a larger share of residents have a bachelor's degree or higher at 19.9% compared to 16.0% in Southaven.
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.