Demographics details for Felicity, OH vs Southaven, MS
Population Overview
Compare main population characteristics in Felicity, OH vs Southaven, MS.
| Data | Felicity | Southaven |
|---|---|---|
| Population | 653 | 56,360 |
| Median Age | 39.5 years | 35.4 years |
| Median Income | $34,821 | $72,513 |
| Married Families | 26.0% | 37.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 4.5 | 3.2 |
Population Comparison: Felicity vs Southaven
- The population in Southaven is higher at 56,360, compared to 653 in Felicity.
- Residents in Felicity have a higher median age of 39.5 years compared to 35.4 years in Southaven.
- Southaven has a higher median income of $72,513, compared to $34,821 in Felicity.
- In Southaven, the percentage of married families is higher at 37.0%, compared to 26.0% in Felicity.
- The poverty level is higher in Southaven at 12%, compared to 10% in Felicity.
- The unemployment rate in Felicity is higher at 4.5%, compared to 3.2% in Southaven.
Demographics
Demographics Felicity vs Southaven provide insight into the diversity of the communities to compare.
| Demographic | Felicity | Southaven |
|---|---|---|
| Black | Data is updating | 35 |
| White | 100 | 55 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 5 |
| Two or More Races | Data is updating | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Felicity vs Southaven
- In Southaven, the percentage of Black residents is higher at 35% compared to 0% in Felicity.
- Felicity has a higher percentage of White residents at 100% compared to 55% in Southaven.
- In Southaven, the Asian population stands at 1%, greater than 0% in Felicity.
- Southaven has a higher percentage of Hispanic residents at 5%, compared to 0% in Felicity.
- The percentage of residents identifying as two or more races is higher in Southaven at 4%, compared to 0% in Felicity.
- The percentage of American Indian residents is the same in both Felicity and Southaven at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Felicity | Southaven |
|---|---|---|
| Mental Health Not Good | 18.3% | 15.6% |
| Physical Health Not Good | 12.3% | 10.9% |
| Depression | 25.3% | 22.9% |
| Smoking | 22.8% | 16.7% |
| Binge Drinking | 19.8% | 14.1% |
| Obesity | 36.8% | 39.7% |
| Disability Percentage | 31.0% | 10.0% |
Health Statistics Comparison: Felicity vs Southaven
- More residents in Felicity report poor mental health at 18.3% compared to 15.6% in Southaven.
- Depression is more prevalent in Felicity at 25.3% compared to 22.9% in Southaven.
- Smoking is more prevalent in Felicity at 22.8% compared to 16.7% in Southaven.
- Binge drinking is more common in Felicity at 19.8% compared to 14.1% in Southaven.
- Southaven has higher obesity rates at 39.7% compared to 36.8% in Felicity.
- Disability percentages are higher in Felicity at 31.0% 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 | Felicity | Southaven |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.2% (658) |
| High School Diploma | 18.2% (119) | 15.8% (8,925) |
| Less than High School | 25.7% (168) | 8.7% (4,879) |
| Bachelor's Degree and Higher | 3.5% (23) | 16.0% (9,035) |
Education Levels Comparison: Felicity vs Southaven
- In Southaven, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in Felicity.
- A higher percentage of residents in Felicity hold a high school diploma at 18.2% compared to 15.8% in Southaven.
- More residents in Felicity have less than a high school education at 25.7% compared to 8.7% in Southaven.
- In Southaven, a larger share of residents have a bachelor's degree or higher at 16.0% compared to 3.5% in Felicity.
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.