Demographics details for Southaven, MS vs Norfolk, VA
Population Overview
Compare main population characteristics in Southaven, MS vs Norfolk, VA.
| Data | Southaven | Norfolk |
|---|---|---|
| Population | 56,360 | 232,995 |
| Median Age | 35.4 years | 32.2 years |
| Median Income | $72,513 | $60,998 |
| Married Families | 37.0% | 30.0% |
| Poverty Level | 12% | 11% |
| Unemployment Rate | 3.2 | 3.4 |
Population Comparison: Southaven vs Norfolk
- The population in Norfolk is higher at 232,995, compared to 56,360 in Southaven.
- Residents in Southaven have a higher median age of 35.4 years compared to 32.2 years in Norfolk.
- Southaven has a higher median income of $72,513 compared to $60,998 in Norfolk.
- A higher percentage of married families is found in Southaven at 37.0% compared to 30.0% in Norfolk.
- Southaven has a higher poverty level at 12% compared to 11% in Norfolk.
- Norfolk has a higher unemployment rate at 3.4% compared to 3.2% in Southaven.
Demographics
Demographics Southaven vs Norfolk provide insight into the diversity of the communities to compare.
| Demographic | Southaven | Norfolk |
|---|---|---|
| Black | 35 | 41 |
| White | 55 | 39 |
| Asian | 1 | 4 |
| Hispanic | 5 | 9 |
| Two or More Races | 4 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Southaven vs Norfolk
- In Norfolk, the percentage of Black residents is higher at 41% compared to 35% in Southaven.
- Southaven has a higher percentage of White residents at 55% compared to 39% in Norfolk.
- In Norfolk, the Asian population stands at 4%, greater than 1% in Southaven.
- Norfolk has a higher percentage of Hispanic residents at 9%, compared to 5% in Southaven.
- The percentage of residents identifying as two or more races is higher in Norfolk at 7%, compared to 4% in Southaven.
- The percentage of American Indian residents is the same in both Southaven and Norfolk at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Southaven | Norfolk |
|---|---|---|
| Mental Health Not Good | 15.6% | 17.1% |
| Physical Health Not Good | 10.9% | 12.1% |
| Depression | 22.9% | 20.8% |
| Smoking | 16.7% | 18.9% |
| Binge Drinking | 14.1% | 17.5% |
| Obesity | 39.7% | 42.9% |
| Disability Percentage | 10.0% | 13.0% |
Health Statistics Comparison: Southaven vs Norfolk
- In Norfolk, a higher percentage report poor mental health at 17.1% compared to 15.6% in Southaven.
- Depression is more prevalent in Southaven at 22.9% compared to 20.8% in Norfolk.
- Norfolk has a higher smoking rate at 18.9% compared to 16.7% in Southaven.
- More residents engage in binge drinking in Norfolk at 17.5% compared to 14.1% in Southaven.
- Norfolk has higher obesity rates at 42.9% compared to 39.7% in Southaven.
- There is a higher percentage of disabled individuals in Norfolk at 13.0% 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 | Norfolk |
|---|---|---|
| No Schooling | 1.2% (658) | 1.0% (2,387) |
| High School Diploma | 15.8% (8,925) | 12.9% (30,020) |
| Less than High School | 8.7% (4,879) | 9.5% (22,233) |
| Bachelor's Degree and Higher | 16.0% (9,035) | 21.0% (48,995) |
Education Levels Comparison: Southaven vs Norfolk
- A higher percentage of residents in Southaven have no formal schooling at 1.2% compared to 1.0% in Norfolk.
- A higher percentage of residents in Southaven hold a high school diploma at 15.8% compared to 12.9% in Norfolk.
- The percentage of residents with less than a high school education is higher in Norfolk at 9.5%, compared to 8.7% in Southaven.
- In Norfolk, a larger share of residents have a bachelor's degree or higher at 21.0% 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.