Demographics details for Severn, MD vs Dickinson, TX
Population Overview
Compare main population characteristics in Severn, MD vs Dickinson, TX.
| Data | Severn | Dickinson |
|---|---|---|
| Population | 56,438 | 21,738 |
| Median Age | 35.9 years | 35.8 years |
| Median Income | $125,330 | $81,739 |
| Married Families | 43.0% | 42.0% |
| Poverty Level | 5% | 9% |
| Unemployment Rate | 4.0 | 4.9 |
Population Comparison: Severn vs Dickinson
- In Severn, the population is higher at 56,438, compared to 21,738 in Dickinson.
- Residents in Severn have a higher median age of 35.9 years compared to 35.8 years in Dickinson.
- Severn has a higher median income of $125,330 compared to $81,739 in Dickinson.
- A higher percentage of married families is found in Severn at 43.0% compared to 42.0% in Dickinson.
- The poverty level is higher in Dickinson at 9%, compared to 5% in Severn.
- Dickinson has a higher unemployment rate at 4.9% compared to 4.0% in Severn.
Demographics
Demographics Severn vs Dickinson provide insight into the diversity of the communities to compare.
| Demographic | Severn | Dickinson |
|---|---|---|
| Black | 34 | 7 |
| White | 41 | 36 |
| Asian | 8 | 1 |
| Hispanic | 9 | 39 |
| Two or More Races | 8 | 17 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Severn vs Dickinson
- A higher percentage of Black residents are in Severn at 34% compared to 7% in Dickinson.
- Severn has a higher percentage of White residents at 41% compared to 36% in Dickinson.
- The Asian population is larger in Severn at 8% compared to 1% in Dickinson.
- Dickinson has a higher percentage of Hispanic residents at 39%, compared to 9% in Severn.
- The percentage of residents identifying as two or more races is higher in Dickinson at 17%, compared to 8% in Severn.
- The percentage of American Indian residents is the same in both Severn and Dickinson at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Severn | Dickinson |
|---|---|---|
| Mental Health Not Good | 14.1% | 17.2% |
| Physical Health Not Good | 8.4% | 12.3% |
| Depression | 18.2% | 22.7% |
| Smoking | 11.1% | 17.2% |
| Binge Drinking | 16.1% | 17.6% |
| Obesity | 36.0% | 36.5% |
| Disability Percentage | 8.0% | 11.0% |
Health Statistics Comparison: Severn vs Dickinson
- In Dickinson, a higher percentage report poor mental health at 17.2% compared to 14.1% in Severn.
- Higher depression rates are seen in Dickinson at 22.7% versus 18.2% in Severn.
- Dickinson has a higher smoking rate at 17.2% compared to 11.1% in Severn.
- More residents engage in binge drinking in Dickinson at 17.6% compared to 16.1% in Severn.
- Dickinson has higher obesity rates at 36.5% compared to 36.0% in Severn.
- There is a higher percentage of disabled individuals in Dickinson at 11.0% 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 | Dickinson |
|---|---|---|
| No Schooling | 0.9% (487) | 1.9% (403) |
| High School Diploma | 12.9% (7,270) | 12.0% (2,607) |
| Less than High School | 6.1% (3,423) | 18.9% (4,116) |
| Bachelor's Degree and Higher | 29.5% (16,630) | 15.8% (3,445) |
Education Levels Comparison: Severn vs Dickinson
- In Dickinson, a larger percentage of residents lack formal schooling at 1.9% compared to 0.9% in Severn.
- A higher percentage of residents in Severn hold a high school diploma at 12.9% compared to 12.0% in Dickinson.
- The percentage of residents with less than a high school education is higher in Dickinson at 18.9%, 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 15.8% in Dickinson.
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.