Demographics details for Severn, MD vs Sunland park, NM
Population Overview
Compare main population characteristics in Severn, MD vs Sunland park, NM.
Data | Severn | Sunland park |
---|---|---|
Population | 56,438 | 17,414 |
Median Age | 35.9 years | 33.3 years |
Median Income | $125,330 | $45,545 |
Married Families | 43.0% | 31.0% |
Poverty Level | 5% | 20% |
Unemployment Rate | 4.0 | 6.4 |
Population Comparison: Severn vs Sunland park
- In Severn, the population is higher at 56,438, compared to 17,414 in Sunland park.
- Residents in Severn have a higher median age of 35.9 years compared to 33.3 years in Sunland park.
- Severn has a higher median income of $125,330 compared to $45,545 in Sunland park.
- A higher percentage of married families is found in Severn at 43.0% compared to 31.0% in Sunland park.
- The poverty level is higher in Sunland park at 20%, compared to 5% in Severn.
- Sunland park has a higher unemployment rate at 6.4% compared to 4.0% in Severn.
Demographics
Demographics Severn vs Sunland park provide insight into the diversity of the communities to compare.
Demographic | Severn | Sunland park |
---|---|---|
Black | 34 | 1 |
White | 41 | Data is updating |
Asian | 8 | Data is updating |
Hispanic | 9 | 91 |
Two or More Races | 8 | 28 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Severn vs Sunland park
- A higher percentage of Black residents are in Severn at 34% compared to 1% in Sunland park.
- Severn has a higher percentage of White residents at 41% compared to 0% in Sunland park.
- The Asian population is larger in Severn at 8% compared to 0% in Sunland park.
- Sunland park has a higher percentage of Hispanic residents at 91%, compared to 9% in Severn.
- The percentage of residents identifying as two or more races is higher in Sunland park at 28%, compared to 8% in Severn.
- The percentage of American Indian residents is the same in both Severn and Sunland park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Severn | Sunland park |
---|---|---|
Mental Health Not Good | 14.1% | 18.4% |
Physical Health Not Good | 8.4% | 17.2% |
Depression | 18.2% | 21.2% |
Smoking | 11.1% | 20.8% |
Binge Drinking | 16.1% | 12.4% |
Obesity | 36.0% | 42.8% |
Disability Percentage | 8.0% | 10.0% |
Health Statistics Comparison: Severn vs Sunland park
- In Sunland park, a higher percentage report poor mental health at 18.4% compared to 14.1% in Severn.
- Higher depression rates are seen in Sunland park at 21.2% versus 18.2% in Severn.
- Sunland park has a higher smoking rate at 20.8% compared to 11.1% in Severn.
- Binge drinking is more common in Severn at 16.1% compared to 12.4% in Sunland park.
- Sunland park has higher obesity rates at 42.8% compared to 36.0% in Severn.
- There is a higher percentage of disabled individuals in Sunland park at 10.0% 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 | Sunland park |
---|---|---|
No Schooling | 0.9% (487) | 1.5% (261) |
High School Diploma | 12.9% (7,270) | 11.6% (2,019) |
Less than High School | 6.1% (3,423) | 29.5% (5,138) |
Bachelor's Degree and Higher | 29.5% (16,630) | 12.2% (2,130) |
Education Levels Comparison: Severn vs Sunland park
- In Sunland park, a larger percentage of residents lack formal schooling at 1.5% compared to 0.9% in Severn.
- A higher percentage of residents in Severn hold a high school diploma at 12.9% compared to 11.6% in Sunland park.
- The percentage of residents with less than a high school education is higher in Sunland park at 29.5%, compared to 6.1% in Severn.
- A higher percentage of residents in Severn hold a bachelor's degree or higher at 29.5% compared to 12.2% in Sunland park.
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.