Demographics details for Surprise, AZ vs Picayune, MS
Population Overview
Compare main population characteristics in Surprise, AZ vs Picayune, MS.
| Data | Surprise | Picayune |
|---|---|---|
| Population | 154,198 | 11,826 |
| Median Age | 41.5 years | 38.3 years |
| Median Income | $87,756 | $35,649 |
| Married Families | 44.0% | 27.0% |
| Poverty Level | 13% | 21% |
| Unemployment Rate | 3.9 | 4.5 |
Population Comparison: Surprise vs Picayune
- In Surprise, the population is higher at 154,198, compared to 11,826 in Picayune.
- Residents in Surprise have a higher median age of 41.5 years compared to 38.3 years in Picayune.
- Surprise has a higher median income of $87,756 compared to $35,649 in Picayune.
- A higher percentage of married families is found in Surprise at 44.0% compared to 27.0% in Picayune.
- The poverty level is higher in Picayune at 21%, compared to 13% in Surprise.
- Picayune has a higher unemployment rate at 4.5% compared to 3.9% in Surprise.
Demographics
Demographics Surprise vs Picayune provide insight into the diversity of the communities to compare.
| Demographic | Surprise | Picayune |
|---|---|---|
| Black | 5 | 38 |
| White | 63 | 55 |
| Asian | 2 | Data is updating |
| Hispanic | 20 | 2 |
| Two or More Races | 9 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Surprise vs Picayune
- In Picayune, the percentage of Black residents is higher at 38% compared to 5% in Surprise.
- Surprise has a higher percentage of White residents at 63% compared to 55% in Picayune.
- The Asian population is larger in Surprise at 2% compared to 0% in Picayune.
- The Hispanic community is larger in Surprise at 20% compared to 2% in Picayune.
- More residents identify as two or more races in Surprise at 9% compared to 5% in Picayune.
- A greater percentage of American Indian residents live in Surprise at 1% compared to 0% in Picayune.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Surprise | Picayune |
|---|---|---|
| Mental Health Not Good | 17.0% | 18.4% |
| Physical Health Not Good | 10.1% | 14.3% |
| Depression | 20.1% | 24.0% |
| Smoking | 14.4% | 23.3% |
| Binge Drinking | 18.5% | 13.3% |
| Obesity | 30.1% | 44.0% |
| Disability Percentage | 11.0% | 21.0% |
Health Statistics Comparison: Surprise vs Picayune
- In Picayune, a higher percentage report poor mental health at 18.4% compared to 17.0% in Surprise.
- Higher depression rates are seen in Picayune at 24.0% versus 20.1% in Surprise.
- Picayune has a higher smoking rate at 23.3% compared to 14.4% in Surprise.
- Binge drinking is more common in Surprise at 18.5% compared to 13.3% in Picayune.
- Picayune has higher obesity rates at 44.0% compared to 30.1% in Surprise.
- There is a higher percentage of disabled individuals in Picayune at 21.0% compared to 11.0% in Surprise.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Surprise | Picayune |
|---|---|---|
| No Schooling | 0.5% (754) | 0.6% (73) |
| High School Diploma | 13.7% (21,050) | 17.8% (2,108) |
| Less than High School | 7.6% (11,792) | 11.8% (1,392) |
| Bachelor's Degree and Higher | 19.9% (30,735) | 10.1% (1,200) |
Education Levels Comparison: Surprise vs Picayune
- In Picayune, a larger percentage of residents lack formal schooling at 0.6% compared to 0.5% in Surprise.
- In Picayune, the rate of residents with high school diplomas is higher at 17.8% compared to 13.7% in Surprise.
- The percentage of residents with less than a high school education is higher in Picayune at 11.8%, compared to 7.6% in Surprise.
- A higher percentage of residents in Surprise hold a bachelor's degree or higher at 19.9% compared to 10.1% in Picayune.
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.