Demographics details for Severna park, MD vs Petersburg, PA
Population Overview
Compare main population characteristics in Severna park, MD vs Petersburg, PA.
Data | Severna park | Petersburg |
---|---|---|
Population | 40,452 | 412 |
Median Age | 41.5 years | 39.8 years |
Median Income | $164,288 | $58,125 |
Married Families | 48.0% | 30.0% |
Poverty Level | 3% | 8% |
Unemployment Rate | 3.2 | 5.2 |
Population Comparison: Severna park vs Petersburg
- In Severna park, the population is higher at 40,452, compared to 412 in Petersburg.
- Residents in Severna park have a higher median age of 41.5 years compared to 39.8 years in Petersburg.
- Severna park has a higher median income of $164,288 compared to $58,125 in Petersburg.
- A higher percentage of married families is found in Severna park at 48.0% compared to 30.0% in Petersburg.
- The poverty level is higher in Petersburg at 8%, compared to 3% in Severna park.
- Petersburg has a higher unemployment rate at 5.2% compared to 3.2% in Severna park.
Demographics
Demographics Severna park vs Petersburg provide insight into the diversity of the communities to compare.
Demographic | Severna park | Petersburg |
---|---|---|
Black | 3 | Data is updating |
White | 86 | 98 |
Asian | 3 | Data is updating |
Hispanic | 3 | Data is updating |
Two or More Races | 5 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Severna park vs Petersburg
- A higher percentage of Black residents are in Severna park at 3% compared to 0% in Petersburg.
- The percentage of White residents is higher in Petersburg at 98% compared to 86% in Severna park.
- The Asian population is larger in Severna park at 3% compared to 0% in Petersburg.
- The Hispanic community is larger in Severna park at 3% compared to 0% in Petersburg.
- More residents identify as two or more races in Severna park at 5% compared to 2% in Petersburg.
- The percentage of American Indian residents is the same in both Severna park and Petersburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Severna park | Petersburg |
---|---|---|
Mental Health Not Good | 13.1% | 18.6% |
Physical Health Not Good | 7.3% | 12.7% |
Depression | 19.9% | 24.5% |
Smoking | 9.0% | 22.3% |
Binge Drinking | 18.4% | 18.6% |
Obesity | 31.9% | 38.1% |
Disability Percentage | 8.0% | 18.0% |
Health Statistics Comparison: Severna park vs Petersburg
- In Petersburg, a higher percentage report poor mental health at 18.6% compared to 13.1% in Severna park.
- Higher depression rates are seen in Petersburg at 24.5% versus 19.9% in Severna park.
- Petersburg has a higher smoking rate at 22.3% compared to 9.0% in Severna park.
- More residents engage in binge drinking in Petersburg at 18.6% compared to 18.4% in Severna park.
- Petersburg has higher obesity rates at 38.1% compared to 31.9% in Severna park.
- There is a higher percentage of disabled individuals in Petersburg at 18.0% compared to 8.0% in Severna park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Severna park | Petersburg |
---|---|---|
No Schooling | 0.4% (145) | 0.5% (2) |
High School Diploma | 10.9% (4,392) | 35.2% (145) |
Less than High School | 4.3% (1,731) | 15.0% (62) |
Bachelor's Degree and Higher | 38.1% (15,411) | 1.5% (6) |
Education Levels Comparison: Severna park vs Petersburg
- In Petersburg, a larger percentage of residents lack formal schooling at 0.5% compared to 0.4% in Severna park.
- In Petersburg, the rate of residents with high school diplomas is higher at 35.2% compared to 10.9% in Severna park.
- The percentage of residents with less than a high school education is higher in Petersburg at 15.0%, compared to 4.3% in Severna park.
- A higher percentage of residents in Severna park hold a bachelor's degree or higher at 38.1% compared to 1.5% in Petersburg.
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.