Demographics details for Florence, OR vs Severn, MD
Population Overview
Compare main population characteristics in Florence, OR vs Severn, MD.
| Data | Florence | Severn |
|---|---|---|
| Population | 9,376 | 56,438 |
| Median Age | 57.7 years | 35.9 years |
| Median Income | $57,568 | $125,330 |
| Married Families | 42.0% | 43.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 4.5 | 4.0 |
Population Comparison: Florence vs Severn
- The population in Severn is higher at 56,438, compared to 9,376 in Florence.
- Residents in Florence have a higher median age of 57.7 years compared to 35.9 years in Severn.
- Severn has a higher median income of $125,330, compared to $57,568 in Florence.
- In Severn, the percentage of married families is higher at 43.0%, compared to 42.0% in Florence.
- Florence has a higher poverty level at 10% compared to 5% in Severn.
- The unemployment rate in Florence is higher at 4.5%, compared to 4.0% in Severn.
Demographics
Demographics Florence vs Severn provide insight into the diversity of the communities to compare.
| Demographic | Florence | Severn |
|---|---|---|
| Black | 2 | 34 |
| White | 87 | 41 |
| Asian | 2 | 8 |
| Hispanic | 5 | 9 |
| Two or More Races | 3 | 8 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Florence vs Severn
- In Severn, the percentage of Black residents is higher at 34% compared to 2% in Florence.
- Florence has a higher percentage of White residents at 87% compared to 41% in Severn.
- In Severn, the Asian population stands at 8%, greater than 2% in Florence.
- Severn has a higher percentage of Hispanic residents at 9%, compared to 5% in Florence.
- The percentage of residents identifying as two or more races is higher in Severn at 8%, compared to 3% in Florence.
- A greater percentage of American Indian residents live in Florence at 1% compared to 0% in Severn.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Florence | Severn |
|---|---|---|
| Mental Health Not Good | 19.8% | 14.1% |
| Physical Health Not Good | 13.1% | 8.4% |
| Depression | 29.2% | 18.2% |
| Smoking | 16.7% | 11.1% |
| Binge Drinking | 17.0% | 16.1% |
| Obesity | 36.0% | 36.0% |
| Disability Percentage | 25.0% | 8.0% |
Health Statistics Comparison: Florence vs Severn
- More residents in Florence report poor mental health at 19.8% compared to 14.1% in Severn.
- Depression is more prevalent in Florence at 29.2% compared to 18.2% in Severn.
- Smoking is more prevalent in Florence at 16.7% compared to 11.1% in Severn.
- Binge drinking is more common in Florence at 17.0% compared to 16.1% in Severn.
- Both cities have the same obesity rates at 36.0%.
- Disability percentages are higher in Florence at 25.0% compared to 8.0% in Severn.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Florence | Severn |
|---|---|---|
| No Schooling | 0.4% (35) | 0.9% (487) |
| High School Diploma | 14.2% (1,331) | 12.9% (7,270) |
| Less than High School | 15.6% (1,467) | 6.1% (3,423) |
| Bachelor's Degree and Higher | 19.9% (1,865) | 29.5% (16,630) |
Education Levels Comparison: Florence vs Severn
- In Severn, a larger percentage of residents lack formal schooling at 0.9% compared to 0.4% in Florence.
- A higher percentage of residents in Florence hold a high school diploma at 14.2% compared to 12.9% in Severn.
- More residents in Florence have less than a high school education at 15.6% compared to 6.1% in Severn.
- In Severn, a larger share of residents have a bachelor's degree or higher at 29.5% compared to 19.9% in Florence.
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.