Demographics details for New windsor, NY vs Severn, MD
Population Overview
Compare main population characteristics in New windsor, NY vs Severn, MD.
Data | New windsor | Severn |
---|---|---|
Population | 27,664 | 56,438 |
Median Age | 41.0 years | 35.9 years |
Median Income | $80,000 | $125,330 |
Married Families | 62.1% | 43.0% |
Poverty Level | Data is updating | 5% |
Unemployment Rate | 3.1 | 4.0 |
Population Comparison: New windsor vs Severn
- The population in Severn is higher at 56,438, compared to 27,664 in New windsor.
- Residents in New windsor have a higher median age of 41.0 years compared to 35.9 years in Severn.
- Severn has a higher median income of $125,330, compared to $80,000 in New windsor.
- A higher percentage of married families is found in New windsor at 62.1% compared to 43.0% in Severn.
- The poverty level is higher in Severn at 5%, compared to 0% in New windsor.
- Severn has a higher unemployment rate at 4.0% compared to 3.1% in New windsor.
Demographics
Demographics New windsor vs Severn provide insight into the diversity of the communities to compare.
Demographic | New windsor | Severn |
---|---|---|
Black | 5 | 34 |
White | 80 | 41 |
Asian | 5 | 8 |
Hispanic | 10 | 9 |
Two or More Races | Data is updating | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: New windsor vs Severn
- In Severn, the percentage of Black residents is higher at 34% compared to 5% in New windsor.
- New windsor has a higher percentage of White residents at 80% compared to 41% in Severn.
- In Severn, the Asian population stands at 8%, greater than 5% in New windsor.
- The Hispanic community is larger in New windsor at 10% compared to 9% in Severn.
- The percentage of residents identifying as two or more races is higher in Severn at 8%, compared to 0% in New windsor.
- The percentage of American Indian residents is the same in both New windsor and Severn at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | New windsor | Severn |
---|---|---|
Mental Health Not Good | Data is updating% | 14.1% |
Physical Health Not Good | Data is updating% | 8.4% |
Depression | Data is updating% | 18.2% |
Smoking | Data is updating% | 11.1% |
Binge Drinking | Data is updating% | 16.1% |
Obesity | Data is updating% | 36.0% |
Disability Percentage | Data is updating% | 8.0% |
Health Statistics Comparison: New windsor vs Severn
- In Severn, a higher percentage report poor mental health at 14.1% compared to 0.0% in New windsor.
- Higher depression rates are seen in Severn at 18.2% versus 0.0% in New windsor.
- Severn has a higher smoking rate at 11.1% compared to 0.0% in New windsor.
- More residents engage in binge drinking in Severn at 16.1% compared to 0.0% in New windsor.
- Severn has higher obesity rates at 36.0% compared to 0.0% in New windsor.
- There is a higher percentage of disabled individuals in Severn at 8.0% compared to 0.0% in New windsor.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | New windsor | Severn |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.9% (487) |
High School Diploma | 0.0% (Data is updating) | 12.9% (7,270) |
Less than High School | 0.0% (Data is updating) | 6.1% (3,423) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 29.5% (16,630) |
Education Levels Comparison: New windsor vs Severn
- In Severn, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in New windsor.
- In Severn, the rate of residents with high school diplomas is higher at 12.9% compared to 0.0% in New windsor.
- The percentage of residents with less than a high school education is higher in Severn at 6.1%, compared to 0.0% in New windsor.
- In Severn, a larger share of residents have a bachelor's degree or higher at 29.5% compared to 0.0% in New windsor.
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.