Demographics details for Southaven, MS vs Hilmar, CA
Population Overview
Compare main population characteristics in Southaven, MS vs Hilmar, CA.
| Data | Southaven | Hilmar |
|---|---|---|
| Population | 56,360 | 11,136 |
| Median Age | 35.4 years | 36.4 years |
| Median Income | $72,513 | $71,753 |
| Married Families | 37.0% | 42.0% |
| Poverty Level | 12% | 15% |
| Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Southaven vs Hilmar
- In Southaven, the population is higher at 56,360, compared to 11,136 in Hilmar.
- The median age in Hilmar is higher at 36.4 years, compared to 35.4 years in Southaven.
- Southaven has a higher median income of $72,513 compared to $71,753 in Hilmar.
- In Hilmar, the percentage of married families is higher at 42.0%, compared to 37.0% in Southaven.
- The poverty level is higher in Hilmar at 15%, compared to 12% in Southaven.
- Hilmar has a higher unemployment rate at 4.5% compared to 3.2% in Southaven.
Demographics
Demographics Southaven vs Hilmar provide insight into the diversity of the communities to compare.
| Demographic | Southaven | Hilmar |
|---|---|---|
| Black | 35 | 1 |
| White | 55 | 52 |
| Asian | 1 | 2 |
| Hispanic | 5 | 42 |
| Two or More Races | 4 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Southaven vs Hilmar
- A higher percentage of Black residents are in Southaven at 35% compared to 1% in Hilmar.
- Southaven has a higher percentage of White residents at 55% compared to 52% in Hilmar.
- In Hilmar, the Asian population stands at 2%, greater than 1% in Southaven.
- Hilmar has a higher percentage of Hispanic residents at 42%, compared to 5% in Southaven.
- More residents identify as two or more races in Southaven at 4% compared to 3% in Hilmar.
- The percentage of American Indian residents is the same in both Southaven and Hilmar at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Southaven | Hilmar |
|---|---|---|
| Mental Health Not Good | 15.6% | Data is updating% |
| Physical Health Not Good | 10.9% | Data is updating% |
| Depression | 22.9% | Data is updating% |
| Smoking | 16.7% | Data is updating% |
| Binge Drinking | 14.1% | Data is updating% |
| Obesity | 39.7% | Data is updating% |
| Disability Percentage | 10.0% | 14.0% |
Health Statistics Comparison: Southaven vs Hilmar
- More residents in Southaven report poor mental health at 15.6% compared to 0.0% in Hilmar.
- Depression is more prevalent in Southaven at 22.9% compared to 0.0% in Hilmar.
- Smoking is more prevalent in Southaven at 16.7% compared to 0.0% in Hilmar.
- Binge drinking is more common in Southaven at 14.1% compared to 0.0% in Hilmar.
- Obesity rates are higher in Southaven at 39.7% compared to 0.0% in Hilmar.
- There is a higher percentage of disabled individuals in Hilmar at 14.0% 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 | Hilmar |
|---|---|---|
| No Schooling | 1.2% (658) | 2.6% (294) |
| High School Diploma | 15.8% (8,925) | 16.8% (1,868) |
| Less than High School | 8.7% (4,879) | 35.7% (3,978) |
| Bachelor's Degree and Higher | 16.0% (9,035) | 6.9% (769) |
Education Levels Comparison: Southaven vs Hilmar
- In Hilmar, a larger percentage of residents lack formal schooling at 2.6% compared to 1.2% in Southaven.
- In Hilmar, the rate of residents with high school diplomas is higher at 16.8% compared to 15.8% in Southaven.
- The percentage of residents with less than a high school education is higher in Hilmar at 35.7%, 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 6.9% in Hilmar.
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.