Demographics details for Southaven, MS vs Millville, NJ
Population Overview
Compare main population characteristics in Southaven, MS vs Millville, NJ.
| Data | Southaven | Millville |
|---|---|---|
| Population | 56,360 | 27,308 |
| Median Age | 35.4 years | 44.2 years |
| Median Income | $72,513 | $65,279 |
| Married Families | 37.0% | 37.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 3.2 | 7.3 |
Population Comparison: Southaven vs Millville
- In Southaven, the population is higher at 56,360, compared to 27,308 in Millville.
- The median age in Millville is higher at 44.2 years, compared to 35.4 years in Southaven.
- Southaven has a higher median income of $72,513 compared to $65,279 in Millville.
- The percentage of married families is the same in both Southaven and Millville at 37.0%.
- The poverty level is identical in both Southaven and Millville at 12%.
- Millville has a higher unemployment rate at 7.3% compared to 3.2% in Southaven.
Demographics
Demographics Southaven vs Millville provide insight into the diversity of the communities to compare.
| Demographic | Southaven | Millville |
|---|---|---|
| Black | 35 | 16 |
| White | 55 | 59 |
| Asian | 1 | 2 |
| Hispanic | 5 | 15 |
| Two or More Races | 4 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Southaven vs Millville
- A higher percentage of Black residents are in Southaven at 35% compared to 16% in Millville.
- The percentage of White residents is higher in Millville at 59% compared to 55% in Southaven.
- In Millville, the Asian population stands at 2%, greater than 1% in Southaven.
- Millville has a higher percentage of Hispanic residents at 15%, compared to 5% in Southaven.
- The percentage of residents identifying as two or more races is higher in Millville at 8%, compared to 4% in Southaven.
- The percentage of American Indian residents is the same in both Southaven and Millville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Southaven | Millville |
|---|---|---|
| Mental Health Not Good | 15.6% | 17.8% |
| Physical Health Not Good | 10.9% | 13.0% |
| Depression | 22.9% | 22.3% |
| Smoking | 16.7% | 19.8% |
| Binge Drinking | 14.1% | 17.5% |
| Obesity | 39.7% | 37.3% |
| Disability Percentage | 10.0% | 17.0% |
Health Statistics Comparison: Southaven vs Millville
- In Millville, a higher percentage report poor mental health at 17.8% compared to 15.6% in Southaven.
- Depression is more prevalent in Southaven at 22.9% compared to 22.3% in Millville.
- Millville has a higher smoking rate at 19.8% compared to 16.7% in Southaven.
- More residents engage in binge drinking in Millville at 17.5% compared to 14.1% in Southaven.
- Obesity rates are higher in Southaven at 39.7% compared to 37.3% in Millville.
- There is a higher percentage of disabled individuals in Millville at 17.0% 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 | Millville |
|---|---|---|
| No Schooling | 1.2% (658) | 2.1% (568) |
| High School Diploma | 15.8% (8,925) | 23.3% (6,362) |
| Less than High School | 8.7% (4,879) | 18.8% (5,126) |
| Bachelor's Degree and Higher | 16.0% (9,035) | 12.8% (3,483) |
Education Levels Comparison: Southaven vs Millville
- In Millville, a larger percentage of residents lack formal schooling at 2.1% compared to 1.2% in Southaven.
- In Millville, the rate of residents with high school diplomas is higher at 23.3% compared to 15.8% in Southaven.
- The percentage of residents with less than a high school education is higher in Millville at 18.8%, compared to 8.7% in Southaven.
- A higher percentage of residents in Southaven hold a bachelor's degree or higher at 16.0% compared to 12.8% in Millville.
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.