Demographics details for Southaven, MS vs San ramon, CA
Population Overview
Compare main population characteristics in Southaven, MS vs San ramon, CA.
| Data | Southaven | San ramon |
|---|---|---|
| Population | 56,360 | 85,953 |
| Median Age | 35.4 years | 40.5 years |
| Median Income | $72,513 | $190,829 |
| Married Families | 37.0% | 50.0% |
| Poverty Level | 12% | 3% |
| Unemployment Rate | 3.2 | 4.3 |
Population Comparison: Southaven vs San ramon
- The population in San ramon is higher at 85,953, compared to 56,360 in Southaven.
- The median age in San ramon is higher at 40.5 years, compared to 35.4 years in Southaven.
- San ramon has a higher median income of $190,829, compared to $72,513 in Southaven.
- In San ramon, the percentage of married families is higher at 50.0%, compared to 37.0% in Southaven.
- Southaven has a higher poverty level at 12% compared to 3% in San ramon.
- San ramon has a higher unemployment rate at 4.3% compared to 3.2% in Southaven.
Demographics
Demographics Southaven vs San ramon provide insight into the diversity of the communities to compare.
| Demographic | Southaven | San ramon |
|---|---|---|
| Black | 35 | 3 |
| White | 55 | 33 |
| Asian | 1 | 48 |
| Hispanic | 5 | 8 |
| Two or More Races | 4 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Southaven vs San ramon
- A higher percentage of Black residents are in Southaven at 35% compared to 3% in San ramon.
- Southaven has a higher percentage of White residents at 55% compared to 33% in San ramon.
- In San ramon, the Asian population stands at 48%, greater than 1% in Southaven.
- San ramon has a higher percentage of Hispanic residents at 8%, compared to 5% in Southaven.
- The percentage of residents identifying as two or more races is higher in San ramon at 8%, compared to 4% in Southaven.
- The percentage of American Indian residents is the same in both Southaven and San ramon at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Southaven | San ramon |
|---|---|---|
| Mental Health Not Good | 15.6% | 11.6% |
| Physical Health Not Good | 10.9% | 6.7% |
| Depression | 22.9% | 14.9% |
| Smoking | 16.7% | 6.3% |
| Binge Drinking | 14.1% | 16.3% |
| Obesity | 39.7% | 18.9% |
| Disability Percentage | 10.0% | 6.0% |
Health Statistics Comparison: Southaven vs San ramon
- More residents in Southaven report poor mental health at 15.6% compared to 11.6% in San ramon.
- Depression is more prevalent in Southaven at 22.9% compared to 14.9% in San ramon.
- Smoking is more prevalent in Southaven at 16.7% compared to 6.3% in San ramon.
- More residents engage in binge drinking in San ramon at 16.3% compared to 14.1% in Southaven.
- Obesity rates are higher in Southaven at 39.7% compared to 18.9% in San ramon.
- Disability percentages are higher in Southaven at 10.0% compared to 6.0% in San ramon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Southaven | San ramon |
|---|---|---|
| No Schooling | 1.2% (658) | 0.7% (596) |
| High School Diploma | 15.8% (8,925) | 5.2% (4,459) |
| Less than High School | 8.7% (4,879) | 3.2% (2,726) |
| Bachelor's Degree and Higher | 16.0% (9,035) | 46.6% (40,044) |
Education Levels Comparison: Southaven vs San ramon
- A higher percentage of residents in Southaven have no formal schooling at 1.2% compared to 0.7% in San ramon.
- A higher percentage of residents in Southaven hold a high school diploma at 15.8% compared to 5.2% in San ramon.
- More residents in Southaven have less than a high school education at 8.7% compared to 3.2% in San ramon.
- In San ramon, a larger share of residents have a bachelor's degree or higher at 46.6% 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.