Demographics details for Milan, OH vs Severna park, MD
Population Overview
Compare main population characteristics in Milan, OH vs Severna park, MD.
| Data | Milan | Severna park |
|---|---|---|
| Population | 1,359 | 40,452 |
| Median Age | 40.1 years | 41.5 years |
| Median Income | $90,145 | $164,288 |
| Married Families | 51.0% | 48.0% |
| Poverty Level | 5% | 3% |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Milan vs Severna park
- The population in Severna park is higher at 40,452, compared to 1,359 in Milan.
- The median age in Severna park is higher at 41.5 years, compared to 40.1 years in Milan.
- Severna park has a higher median income of $164,288, compared to $90,145 in Milan.
- A higher percentage of married families is found in Milan at 51.0% compared to 48.0% in Severna park.
- Milan has a higher poverty level at 5% compared to 3% in Severna park.
- The unemployment rate in Milan is higher at 3.5%, compared to 3.2% in Severna park.
Demographics
Demographics Milan vs Severna park provide insight into the diversity of the communities to compare.
| Demographic | Milan | Severna park |
|---|---|---|
| Black | 2 | 3 |
| White | 94 | 86 |
| Asian | Data is updating | 3 |
| Hispanic | 2 | 3 |
| Two or More Races | 2 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Milan vs Severna park
- In Severna park, the percentage of Black residents is higher at 3% compared to 2% in Milan.
- Milan has a higher percentage of White residents at 94% compared to 86% in Severna park.
- In Severna park, the Asian population stands at 3%, greater than 0% in Milan.
- Severna park has a higher percentage of Hispanic residents at 3%, compared to 2% in Milan.
- The percentage of residents identifying as two or more races is higher in Severna park at 5%, compared to 2% in Milan.
- The percentage of American Indian residents is the same in both Milan and Severna park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Milan | Severna park |
|---|---|---|
| Mental Health Not Good | 16.5% | 13.1% |
| Physical Health Not Good | 10.6% | 7.3% |
| Depression | 24.1% | 19.9% |
| Smoking | 19.3% | 9.0% |
| Binge Drinking | 21.0% | 18.4% |
| Obesity | 39.2% | 31.9% |
| Disability Percentage | 13.0% | 8.0% |
Health Statistics Comparison: Milan vs Severna park
- More residents in Milan report poor mental health at 16.5% compared to 13.1% in Severna park.
- Depression is more prevalent in Milan at 24.1% compared to 19.9% in Severna park.
- Smoking is more prevalent in Milan at 19.3% compared to 9.0% in Severna park.
- Binge drinking is more common in Milan at 21.0% compared to 18.4% in Severna park.
- Obesity rates are higher in Milan at 39.2% compared to 31.9% in Severna park.
- Disability percentages are higher in Milan at 13.0% compared to 8.0% in Severna park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Milan | Severna park |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (145) |
| High School Diploma | 30.7% (417) | 10.9% (4,392) |
| Less than High School | 4.0% (54) | 4.3% (1,731) |
| Bachelor's Degree and Higher | 18.3% (249) | 38.1% (15,411) |
Education Levels Comparison: Milan vs Severna park
- In Severna park, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Milan.
- A higher percentage of residents in Milan hold a high school diploma at 30.7% compared to 10.9% in Severna park.
- The percentage of residents with less than a high school education is higher in Severna park at 4.3%, compared to 4.0% in Milan.
- In Severna park, a larger share of residents have a bachelor's degree or higher at 38.1% compared to 18.3% in Milan.
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.