Demographics details for Severn, MD vs Pine hill, NY
Population Overview
Compare main population characteristics in Severn, MD vs Pine hill, NY.
| Data | Severn | Pine hill |
|---|---|---|
| Population | 56,438 | 360 |
| Median Age | 35.9 years | 55.5 years |
| Median Income | $125,330 | $81,181 |
| Married Families | 43.0% | 37.0% |
| Poverty Level | 5% | 8% |
| Unemployment Rate | 4.0 | 4.2 |
Population Comparison: Severn vs Pine hill
- In Severn, the population is higher at 56,438, compared to 360 in Pine hill.
- The median age in Pine hill is higher at 55.5 years, compared to 35.9 years in Severn.
- Severn has a higher median income of $125,330 compared to $81,181 in Pine hill.
- A higher percentage of married families is found in Severn at 43.0% compared to 37.0% in Pine hill.
- The poverty level is higher in Pine hill at 8%, compared to 5% in Severn.
- Pine hill has a higher unemployment rate at 4.2% compared to 4.0% in Severn.
Demographics
Demographics Severn vs Pine hill provide insight into the diversity of the communities to compare.
| Demographic | Severn | Pine hill |
|---|---|---|
| Black | 34 | Data is updating |
| White | 41 | 57 |
| Asian | 8 | 40 |
| Hispanic | 9 | 2 |
| Two or More Races | 8 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Severn vs Pine hill
- A higher percentage of Black residents are in Severn at 34% compared to 0% in Pine hill.
- The percentage of White residents is higher in Pine hill at 57% compared to 41% in Severn.
- In Pine hill, the Asian population stands at 40%, greater than 8% in Severn.
- The Hispanic community is larger in Severn at 9% compared to 2% in Pine hill.
- More residents identify as two or more races in Severn at 8% compared to 1% in Pine hill.
- The percentage of American Indian residents is the same in both Severn and Pine hill at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Severn | Pine hill |
|---|---|---|
| Mental Health Not Good | 14.1% | 15.8% |
| Physical Health Not Good | 8.4% | 10.3% |
| Depression | 18.2% | 25.8% |
| Smoking | 11.1% | 15.9% |
| Binge Drinking | 16.1% | 19.4% |
| Obesity | 36.0% | 29.1% |
| Disability Percentage | 8.0% | 30.0% |
Health Statistics Comparison: Severn vs Pine hill
- In Pine hill, a higher percentage report poor mental health at 15.8% compared to 14.1% in Severn.
- Higher depression rates are seen in Pine hill at 25.8% versus 18.2% in Severn.
- Pine hill has a higher smoking rate at 15.9% compared to 11.1% in Severn.
- More residents engage in binge drinking in Pine hill at 19.4% compared to 16.1% in Severn.
- Obesity rates are higher in Severn at 36.0% compared to 29.1% in Pine hill.
- There is a higher percentage of disabled individuals in Pine hill at 30.0% 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 | Severn | Pine hill |
|---|---|---|
| No Schooling | 0.9% (487) | 0.0% (Data is updating) |
| High School Diploma | 12.9% (7,270) | 10.8% (39) |
| Less than High School | 6.1% (3,423) | 12.8% (46) |
| Bachelor's Degree and Higher | 29.5% (16,630) | 60.3% (217) |
Education Levels Comparison: Severn vs Pine hill
- A higher percentage of residents in Severn have no formal schooling at 0.9% compared to 0.0% in Pine hill.
- A higher percentage of residents in Severn hold a high school diploma at 12.9% compared to 10.8% in Pine hill.
- The percentage of residents with less than a high school education is higher in Pine hill at 12.8%, compared to 6.1% in Severn.
- In Pine hill, a larger share of residents have a bachelor's degree or higher at 60.3% 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.