Demographics details for Southaven, MS vs Chapman, KS
Population Overview
Compare main population characteristics in Southaven, MS vs Chapman, KS.
| Data | Southaven | Chapman |
|---|---|---|
| Population | 56,360 | 1,371 |
| Median Age | 35.4 years | 41.4 years |
| Median Income | $72,513 | $66,964 |
| Married Families | 37.0% | 33.0% |
| Poverty Level | 12% | 8% |
| Unemployment Rate | 3.2 | 3.1 |
Population Comparison: Southaven vs Chapman
- In Southaven, the population is higher at 56,360, compared to 1,371 in Chapman.
- The median age in Chapman is higher at 41.4 years, compared to 35.4 years in Southaven.
- Southaven has a higher median income of $72,513 compared to $66,964 in Chapman.
- A higher percentage of married families is found in Southaven at 37.0% compared to 33.0% in Chapman.
- Southaven has a higher poverty level at 12% compared to 8% in Chapman.
- The unemployment rate in Southaven is higher at 3.2%, compared to 3.1% in Chapman.
Demographics
Demographics Southaven vs Chapman provide insight into the diversity of the communities to compare.
| Demographic | Southaven | Chapman |
|---|---|---|
| Black | 35 | Data is updating |
| White | 55 | 81 |
| Asian | 1 | 3 |
| Hispanic | 5 | 7 |
| Two or More Races | 4 | 7 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Southaven vs Chapman
- A higher percentage of Black residents are in Southaven at 35% compared to 0% in Chapman.
- The percentage of White residents is higher in Chapman at 81% compared to 55% in Southaven.
- In Chapman, the Asian population stands at 3%, greater than 1% in Southaven.
- Chapman has a higher percentage of Hispanic residents at 7%, compared to 5% in Southaven.
- The percentage of residents identifying as two or more races is higher in Chapman at 7%, compared to 4% in Southaven.
- In Chapman, the percentage of American Indian residents is higher at 2%, compared to 0% in Southaven.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Southaven | Chapman |
|---|---|---|
| Mental Health Not Good | 15.6% | 15.7% |
| Physical Health Not Good | 10.9% | 9.5% |
| Depression | 22.9% | 21.4% |
| Smoking | 16.7% | 16.6% |
| Binge Drinking | 14.1% | 20.2% |
| Obesity | 39.7% | 37.3% |
| Disability Percentage | 10.0% | 14.0% |
Health Statistics Comparison: Southaven vs Chapman
- In Chapman, a higher percentage report poor mental health at 15.7% compared to 15.6% in Southaven.
- Depression is more prevalent in Southaven at 22.9% compared to 21.4% in Chapman.
- Smoking is more prevalent in Southaven at 16.7% compared to 16.6% in Chapman.
- More residents engage in binge drinking in Chapman at 20.2% compared to 14.1% in Southaven.
- Obesity rates are higher in Southaven at 39.7% compared to 37.3% in Chapman.
- There is a higher percentage of disabled individuals in Chapman 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 | Chapman |
|---|---|---|
| No Schooling | 1.2% (658) | 0.0% (Data is updating) |
| High School Diploma | 15.8% (8,925) | 12.3% (168) |
| Less than High School | 8.7% (4,879) | 5.1% (70) |
| Bachelor's Degree and Higher | 16.0% (9,035) | 15.5% (212) |
Education Levels Comparison: Southaven vs Chapman
- A higher percentage of residents in Southaven have no formal schooling at 1.2% compared to 0.0% in Chapman.
- A higher percentage of residents in Southaven hold a high school diploma at 15.8% compared to 12.3% in Chapman.
- More residents in Southaven have less than a high school education at 8.7% compared to 5.1% in Chapman.
- A higher percentage of residents in Southaven hold a bachelor's degree or higher at 16.0% compared to 15.5% in Chapman.
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.