Demographics details for Villas, NJ vs Southaven, MS
Population Overview
Compare main population characteristics in Villas, NJ vs Southaven, MS.
Data | Villas | Southaven |
---|---|---|
Population | 9,925 | 56,360 |
Median Age | 42.4 years | 35.4 years |
Median Income | $74,182 | $72,513 |
Married Families | 42.0% | 37.0% |
Poverty Level | 6% | 12% |
Unemployment Rate | 4.2 | 3.2 |
Population Comparison: Villas vs Southaven
- The population in Southaven is higher at 56,360, compared to 9,925 in Villas.
- Residents in Villas have a higher median age of 42.4 years compared to 35.4 years in Southaven.
- Villas has a higher median income of $74,182 compared to $72,513 in Southaven.
- A higher percentage of married families is found in Villas at 42.0% compared to 37.0% in Southaven.
- The poverty level is higher in Southaven at 12%, compared to 6% in Villas.
- The unemployment rate in Villas is higher at 4.2%, compared to 3.2% in Southaven.
Demographics
Demographics Villas vs Southaven provide insight into the diversity of the communities to compare.
Demographic | Villas | Southaven |
---|---|---|
Black | 1 | 35 |
White | 88 | 55 |
Asian | 1 | 1 |
Hispanic | 6 | 5 |
Two or More Races | 6 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Villas vs Southaven
- In Southaven, the percentage of Black residents is higher at 35% compared to 1% in Villas.
- Villas has a higher percentage of White residents at 88% compared to 55% in Southaven.
- Both Villas and Southaven have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Villas at 6% compared to 5% in Southaven.
- More residents identify as two or more races in Villas at 6% compared to 4% in Southaven.
- The percentage of American Indian residents is the same in both Villas and Southaven at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Villas | Southaven |
---|---|---|
Mental Health Not Good | 17.8% | 15.6% |
Physical Health Not Good | 12.2% | 10.9% |
Depression | 25.1% | 22.9% |
Smoking | 19.2% | 16.7% |
Binge Drinking | 18.9% | 14.1% |
Obesity | 34.4% | 39.7% |
Disability Percentage | 18.0% | 10.0% |
Health Statistics Comparison: Villas vs Southaven
- More residents in Villas report poor mental health at 17.8% compared to 15.6% in Southaven.
- Depression is more prevalent in Villas at 25.1% compared to 22.9% in Southaven.
- Smoking is more prevalent in Villas at 19.2% compared to 16.7% in Southaven.
- Binge drinking is more common in Villas at 18.9% compared to 14.1% in Southaven.
- Southaven has higher obesity rates at 39.7% compared to 34.4% in Villas.
- Disability percentages are higher in Villas at 18.0% 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 | Villas | Southaven |
---|---|---|
No Schooling | 0.9% (89) | 1.2% (658) |
High School Diploma | 24.7% (2,455) | 15.8% (8,925) |
Less than High School | 9.5% (946) | 8.7% (4,879) |
Bachelor's Degree and Higher | 17.4% (1,724) | 16.0% (9,035) |
Education Levels Comparison: Villas vs Southaven
- In Southaven, a larger percentage of residents lack formal schooling at 1.2% compared to 0.9% in Villas.
- A higher percentage of residents in Villas hold a high school diploma at 24.7% compared to 15.8% in Southaven.
- More residents in Villas have less than a high school education at 9.5% compared to 8.7% in Southaven.
- A higher percentage of residents in Villas hold a bachelor's degree or higher at 17.4% 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.