Demographics details for Overland park, KS vs Severn, MD
Population Overview
Compare main population characteristics in Overland park, KS vs Severn, MD.
| Data | Overland park | Severn |
|---|---|---|
| Population | 197,726 | 56,438 |
| Median Age | 38.4 years | 35.9 years |
| Median Income | $100,876 | $125,330 |
| Married Families | 44.0% | 43.0% |
| Poverty Level | 6% | 5% |
| Unemployment Rate | 3.3 | 4.0 |
Population Comparison: Overland park vs Severn
- In Overland park, the population is higher at 197,726, compared to 56,438 in Severn.
- Residents in Overland park have a higher median age of 38.4 years compared to 35.9 years in Severn.
- Severn has a higher median income of $125,330, compared to $100,876 in Overland park.
- A higher percentage of married families is found in Overland park at 44.0% compared to 43.0% in Severn.
- Overland park has a higher poverty level at 6% compared to 5% in Severn.
- Severn has a higher unemployment rate at 4.0% compared to 3.3% in Overland park.
Demographics
Demographics Overland park vs Severn provide insight into the diversity of the communities to compare.
| Demographic | Overland park | Severn |
|---|---|---|
| Black | 5 | 34 |
| White | 74 | 41 |
| Asian | 9 | 8 |
| Hispanic | 7 | 9 |
| Two or More Races | 5 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Overland park vs Severn
- In Severn, the percentage of Black residents is higher at 34% compared to 5% in Overland park.
- Overland park has a higher percentage of White residents at 74% compared to 41% in Severn.
- The Asian population is larger in Overland park at 9% compared to 8% in Severn.
- Severn has a higher percentage of Hispanic residents at 9%, compared to 7% in Overland park.
- The percentage of residents identifying as two or more races is higher in Severn at 8%, compared to 5% in Overland park.
- The percentage of American Indian residents is the same in both Overland park and Severn at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Overland park | Severn |
|---|---|---|
| Mental Health Not Good | 12.2% | 14.1% |
| Physical Health Not Good | 6.9% | 8.4% |
| Depression | 18.3% | 18.2% |
| Smoking | 9.6% | 11.1% |
| Binge Drinking | 19.7% | 16.1% |
| Obesity | 28.6% | 36.0% |
| Disability Percentage | 8.0% | 8.0% |
Health Statistics Comparison: Overland park vs Severn
- In Severn, a higher percentage report poor mental health at 14.1% compared to 12.2% in Overland park.
- Depression is more prevalent in Overland park at 18.3% compared to 18.2% in Severn.
- Severn has a higher smoking rate at 11.1% compared to 9.6% in Overland park.
- Binge drinking is more common in Overland park at 19.7% compared to 16.1% in Severn.
- Severn has higher obesity rates at 36.0% compared to 28.6% in Overland park.
- Disability percentages are the same in both Overland park and Severn at 8.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Overland park | Severn |
|---|---|---|
| No Schooling | 0.5% (897) | 0.9% (487) |
| High School Diploma | 7.1% (13,953) | 12.9% (7,270) |
| Less than High School | 3.3% (6,590) | 6.1% (3,423) |
| Bachelor's Degree and Higher | 43.1% (85,152) | 29.5% (16,630) |
Education Levels Comparison: Overland park vs Severn
- In Severn, a larger percentage of residents lack formal schooling at 0.9% compared to 0.5% in Overland park.
- In Severn, the rate of residents with high school diplomas is higher at 12.9% compared to 7.1% in Overland park.
- The percentage of residents with less than a high school education is higher in Severn at 6.1%, compared to 3.3% in Overland park.
- A higher percentage of residents in Overland park hold a bachelor's degree or higher at 43.1% compared to 29.5% in Severn.
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.