Demographics details for Hampton, GA vs Severna park, MD
Population Overview
Compare main population characteristics in Hampton, GA vs Severna park, MD.
Data | Hampton | Severna park |
---|---|---|
Population | 8,267 | 40,452 |
Median Age | 32.9 years | 41.5 years |
Median Income | $67,808 | $164,288 |
Married Families | 33.0% | 48.0% |
Poverty Level | 10% | 3% |
Unemployment Rate | 4.0 | 3.2 |
Population Comparison: Hampton vs Severna park
- The population in Severna park is higher at 40,452, compared to 8,267 in Hampton.
- The median age in Severna park is higher at 41.5 years, compared to 32.9 years in Hampton.
- Severna park has a higher median income of $164,288, compared to $67,808 in Hampton.
- In Severna park, the percentage of married families is higher at 48.0%, compared to 33.0% in Hampton.
- Hampton has a higher poverty level at 10% compared to 3% in Severna park.
- The unemployment rate in Hampton is higher at 4.0%, compared to 3.2% in Severna park.
Demographics
Demographics Hampton vs Severna park provide insight into the diversity of the communities to compare.
Demographic | Hampton | Severna park |
---|---|---|
Black | 58 | 3 |
White | 35 | 86 |
Asian | Data is updating | 3 |
Hispanic | 4 | 3 |
Two or More Races | 3 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Hampton vs Severna park
- A higher percentage of Black residents are in Hampton at 58% compared to 3% in Severna park.
- The percentage of White residents is higher in Severna park at 86% compared to 35% in Hampton.
- In Severna park, the Asian population stands at 3%, greater than 0% in Hampton.
- The Hispanic community is larger in Hampton at 4% compared to 3% in Severna park.
- The percentage of residents identifying as two or more races is higher in Severna park at 5%, compared to 3% in Hampton.
- The percentage of American Indian residents is the same in both Hampton and Severna park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Hampton | Severna park |
---|---|---|
Mental Health Not Good | 16.2% | 13.1% |
Physical Health Not Good | 11.2% | 7.3% |
Depression | 20.7% | 19.9% |
Smoking | 15.5% | 9.0% |
Binge Drinking | 16.5% | 18.4% |
Obesity | 37.0% | 31.9% |
Disability Percentage | 6.0% | 8.0% |
Health Statistics Comparison: Hampton vs Severna park
- More residents in Hampton report poor mental health at 16.2% compared to 13.1% in Severna park.
- Depression is more prevalent in Hampton at 20.7% compared to 19.9% in Severna park.
- Smoking is more prevalent in Hampton at 15.5% compared to 9.0% in Severna park.
- More residents engage in binge drinking in Severna park at 18.4% compared to 16.5% in Hampton.
- Obesity rates are higher in Hampton at 37.0% compared to 31.9% in Severna park.
- There is a higher percentage of disabled individuals in Severna park at 8.0% compared to 6.0% in Hampton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Hampton | Severna park |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.4% (145) |
High School Diploma | 19.6% (1,619) | 10.9% (4,392) |
Less than High School | 3.5% (293) | 4.3% (1,731) |
Bachelor's Degree and Higher | 13.8% (1,140) | 38.1% (15,411) |
Education Levels Comparison: Hampton vs Severna park
- In Severna park, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Hampton.
- A higher percentage of residents in Hampton hold a high school diploma at 19.6% compared to 10.9% in Severna park.
- The percentage of residents with less than a high school education is higher in Severna park at 4.3%, compared to 3.5% in Hampton.
- In Severna park, a larger share of residents have a bachelor's degree or higher at 38.1% compared to 13.8% in Hampton.
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.