Demographics details for Southaven, MS vs Ontario, NY
Population Overview
Compare main population characteristics in Southaven, MS vs Ontario, NY.
| Data | Southaven | Ontario |
|---|---|---|
| Population | 56,360 | 112,707 |
| Median Age | 35.4 years | 43.8 years |
| Median Income | $72,513 | $76,603 |
| Married Families | 37.0% | 42.0% |
| Poverty Level | 12% | 6% |
| Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Southaven vs Ontario
- The population in Ontario is higher at 112,707, compared to 56,360 in Southaven.
- The median age in Ontario is higher at 43.8 years, compared to 35.4 years in Southaven.
- Ontario has a higher median income of $76,603, compared to $72,513 in Southaven.
- In Ontario, the percentage of married families is higher at 42.0%, compared to 37.0% in Southaven.
- Southaven has a higher poverty level at 12% compared to 6% in Ontario.
- The unemployment rate is the same in both Southaven and Ontario at 3.2%.
Demographics
Demographics Southaven vs Ontario provide insight into the diversity of the communities to compare.
| Demographic | Southaven | Ontario |
|---|---|---|
| Black | 35 | 2 |
| White | 55 | 88 |
| Asian | 1 | 1 |
| Hispanic | 5 | 5 |
| Two or More Races | 4 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Southaven vs Ontario
- A higher percentage of Black residents are in Southaven at 35% compared to 2% in Ontario.
- The percentage of White residents is higher in Ontario at 88% compared to 55% in Southaven.
- Both Southaven and Ontario have the same percentage of Asian residents at 1%.
- The percentage of Hispanic residents is the same in both Southaven and Ontario at 5%.
- Both Southaven and Ontario have the same percentage of residents identifying as two or more races at 4%.
- The percentage of American Indian residents is the same in both Southaven and Ontario at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Southaven | Ontario |
|---|---|---|
| Mental Health Not Good | 15.6% | 15.5% |
| Physical Health Not Good | 10.9% | 9.9% |
| Depression | 22.9% | 26.2% |
| Smoking | 16.7% | 16.5% |
| Binge Drinking | 14.1% | 19.8% |
| Obesity | 39.7% | 36.2% |
| Disability Percentage | 10.0% | 13.0% |
Health Statistics Comparison: Southaven vs Ontario
- More residents in Southaven report poor mental health at 15.6% compared to 15.5% in Ontario.
- Higher depression rates are seen in Ontario at 26.2% versus 22.9% in Southaven.
- Smoking is more prevalent in Southaven at 16.7% compared to 16.5% in Ontario.
- More residents engage in binge drinking in Ontario at 19.8% compared to 14.1% in Southaven.
- Obesity rates are higher in Southaven at 39.7% compared to 36.2% in Ontario.
- There is a higher percentage of disabled individuals in Ontario 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 | Ontario |
|---|---|---|
| No Schooling | 1.2% (658) | 1.0% (1,163) |
| High School Diploma | 15.8% (8,925) | 15.2% (17,124) |
| Less than High School | 8.7% (4,879) | 9.1% (10,230) |
| Bachelor's Degree and Higher | 16.0% (9,035) | 26.4% (29,794) |
Education Levels Comparison: Southaven vs Ontario
- A higher percentage of residents in Southaven have no formal schooling at 1.2% compared to 1.0% in Ontario.
- A higher percentage of residents in Southaven hold a high school diploma at 15.8% compared to 15.2% in Ontario.
- The percentage of residents with less than a high school education is higher in Ontario at 9.1%, compared to 8.7% in Southaven.
- In Ontario, a larger share of residents have a bachelor's degree or higher at 26.4% 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.