Demographics details for Southaven, MS vs Palmer, MA
Population Overview
Compare main population characteristics in Southaven, MS vs Palmer, MA.
| Data | Southaven | Palmer |
|---|---|---|
| Population | 56,360 | 3,900 |
| Median Age | 35.4 years | 42.0 years |
| Median Income | $72,513 | $65,000 |
| Married Families | 37.0% | 55.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Southaven vs Palmer
- In Southaven, the population is higher at 56,360, compared to 3,900 in Palmer.
- The median age in Palmer is higher at 42.0 years, compared to 35.4 years in Southaven.
- Southaven has a higher median income of $72,513 compared to $65,000 in Palmer.
- In Palmer, the percentage of married families is higher at 55.0%, compared to 37.0% in Southaven.
- Southaven has a higher poverty level at 12% compared to 10% in Palmer.
- Palmer has a higher unemployment rate at 3.5% compared to 3.2% in Southaven.
Demographics
Demographics Southaven vs Palmer provide insight into the diversity of the communities to compare.
| Demographic | Southaven | Palmer |
|---|---|---|
| Black | 35 | 1 |
| White | 55 | 96 |
| Asian | 1 | 1 |
| Hispanic | 5 | 2 |
| Two or More Races | 4 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Southaven vs Palmer
- A higher percentage of Black residents are in Southaven at 35% compared to 1% in Palmer.
- The percentage of White residents is higher in Palmer at 96% compared to 55% in Southaven.
- Both Southaven and Palmer have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Southaven at 5% compared to 2% in Palmer.
- More residents identify as two or more races in Southaven at 4% compared to 0% in Palmer.
- The percentage of American Indian residents is the same in both Southaven and Palmer at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Southaven | Palmer |
|---|---|---|
| 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% | Data is updating% |
Health Statistics Comparison: Southaven vs Palmer
- More residents in Southaven report poor mental health at 15.6% compared to 0.0% in Palmer.
- Depression is more prevalent in Southaven at 22.9% compared to 0.0% in Palmer.
- Smoking is more prevalent in Southaven at 16.7% compared to 0.0% in Palmer.
- Binge drinking is more common in Southaven at 14.1% compared to 0.0% in Palmer.
- Obesity rates are higher in Southaven at 39.7% compared to 0.0% in Palmer.
- Disability percentages are higher in Southaven at 10.0% compared to 0.0% in Palmer.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Southaven | Palmer |
|---|---|---|
| No Schooling | 1.2% (658) | 0.0% (Data is updating) |
| High School Diploma | 15.8% (8,925) | 0.0% (Data is updating) |
| Less than High School | 8.7% (4,879) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 16.0% (9,035) | 0.0% (Data is updating) |
Education Levels Comparison: Southaven vs Palmer
- A higher percentage of residents in Southaven have no formal schooling at 1.2% compared to 0.0% in Palmer.
- A higher percentage of residents in Southaven hold a high school diploma at 15.8% compared to 0.0% in Palmer.
- More residents in Southaven have less than a high school education at 8.7% compared to 0.0% in Palmer.
- A higher percentage of residents in Southaven hold a bachelor's degree or higher at 16.0% compared to 0.0% in Palmer.
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.