Demographics details for Severn, MD vs Richmond hill, GA
Population Overview
Compare main population characteristics in Severn, MD vs Richmond hill, GA.
| Data | Severn | Richmond hill |
|---|---|---|
| Population | 56,438 | 18,091 |
| Median Age | 35.9 years | 31.0 years |
| Median Income | $125,330 | $83,519 |
| Married Families | 43.0% | 35.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 4.0 | 3.5 |
Population Comparison: Severn vs Richmond hill
- In Severn, the population is higher at 56,438, compared to 18,091 in Richmond hill.
- Residents in Severn have a higher median age of 35.9 years compared to 31.0 years in Richmond hill.
- Severn has a higher median income of $125,330 compared to $83,519 in Richmond hill.
- A higher percentage of married families is found in Severn at 43.0% compared to 35.0% in Richmond hill.
- The poverty level is higher in Richmond hill at 10%, compared to 5% in Severn.
- The unemployment rate in Severn is higher at 4.0%, compared to 3.5% in Richmond hill.
Demographics
Demographics Severn vs Richmond hill provide insight into the diversity of the communities to compare.
| Demographic | Severn | Richmond hill |
|---|---|---|
| Black | 34 | 13 |
| White | 41 | 66 |
| Asian | 8 | 2 |
| Hispanic | 9 | 11 |
| Two or More Races | 8 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Severn vs Richmond hill
- A higher percentage of Black residents are in Severn at 34% compared to 13% in Richmond hill.
- The percentage of White residents is higher in Richmond hill at 66% compared to 41% in Severn.
- The Asian population is larger in Severn at 8% compared to 2% in Richmond hill.
- Richmond hill has a higher percentage of Hispanic residents at 11%, compared to 9% in Severn.
- Both Severn and Richmond hill have the same percentage of residents identifying as two or more races at 8%.
- The percentage of American Indian residents is the same in both Severn and Richmond hill at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Severn | Richmond hill |
|---|---|---|
| Mental Health Not Good | 14.1% | 15.9% |
| Physical Health Not Good | 8.4% | 10.6% |
| Depression | 18.2% | 21.8% |
| Smoking | 11.1% | 14.2% |
| Binge Drinking | 16.1% | 16.2% |
| Obesity | 36.0% | 34.4% |
| Disability Percentage | 8.0% | 9.0% |
Health Statistics Comparison: Severn vs Richmond hill
- In Richmond hill, a higher percentage report poor mental health at 15.9% compared to 14.1% in Severn.
- Higher depression rates are seen in Richmond hill at 21.8% versus 18.2% in Severn.
- Richmond hill has a higher smoking rate at 14.2% compared to 11.1% in Severn.
- More residents engage in binge drinking in Richmond hill at 16.2% compared to 16.1% in Severn.
- Obesity rates are higher in Severn at 36.0% compared to 34.4% in Richmond hill.
- There is a higher percentage of disabled individuals in Richmond hill at 9.0% 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 | Richmond hill |
|---|---|---|
| No Schooling | 0.9% (487) | 0.0% (9) |
| High School Diploma | 12.9% (7,270) | 7.7% (1,395) |
| Less than High School | 6.1% (3,423) | 5.7% (1,037) |
| Bachelor's Degree and Higher | 29.5% (16,630) | 19.5% (3,532) |
Education Levels Comparison: Severn vs Richmond hill
- A higher percentage of residents in Severn have no formal schooling at 0.9% compared to 0.0% in Richmond hill.
- A higher percentage of residents in Severn hold a high school diploma at 12.9% compared to 7.7% in Richmond hill.
- More residents in Severn have less than a high school education at 6.1% compared to 5.7% in Richmond hill.
- A higher percentage of residents in Severn hold a bachelor's degree or higher at 29.5% compared to 19.5% in Richmond hill.
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.