Demographics details for Bee, NE vs Severna park, MD
Population Overview
Compare main population characteristics in Bee, NE vs Severna park, MD.
Data | Bee | Severna park |
---|---|---|
Population | 169 | 40,452 |
Median Age | 35.9 years | 41.5 years |
Median Income | $63,750 | $164,288 |
Married Families | 68.0% | 48.0% |
Poverty Level | 5% | 3% |
Unemployment Rate | 2.5 | 3.2 |
Population Comparison: Bee vs Severna park
- The population in Severna park is higher at 40,452, compared to 169 in Bee.
- The median age in Severna park is higher at 41.5 years, compared to 35.9 years in Bee.
- Severna park has a higher median income of $164,288, compared to $63,750 in Bee.
- A higher percentage of married families is found in Bee at 68.0% compared to 48.0% in Severna park.
- Bee has a higher poverty level at 5% compared to 3% in Severna park.
- Severna park has a higher unemployment rate at 3.2% compared to 2.5% in Bee.
Demographics
Demographics Bee vs Severna park provide insight into the diversity of the communities to compare.
Demographic | Bee | Severna park |
---|---|---|
Black | Data is updating | 3 |
White | 99 | 86 |
Asian | Data is updating | 3 |
Hispanic | Data is updating | 3 |
Two or More Races | 1 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Bee vs Severna park
- In Severna park, the percentage of Black residents is higher at 3% compared to 0% in Bee.
- Bee has a higher percentage of White residents at 99% compared to 86% in Severna park.
- In Severna park, the Asian population stands at 3%, greater than 0% in Bee.
- Severna park has a higher percentage of Hispanic residents at 3%, compared to 0% in Bee.
- The percentage of residents identifying as two or more races is higher in Severna park at 5%, compared to 1% in Bee.
- The percentage of American Indian residents is the same in both Bee and Severna park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Bee | Severna park |
---|---|---|
Mental Health Not Good | 12.8% | 13.1% |
Physical Health Not Good | 8.3% | 7.3% |
Depression | 16.7% | 19.9% |
Smoking | 13.6% | 9.0% |
Binge Drinking | 22.4% | 18.4% |
Obesity | 35.0% | 31.9% |
Disability Percentage | 37.0% | 8.0% |
Health Statistics Comparison: Bee vs Severna park
- In Severna park, a higher percentage report poor mental health at 13.1% compared to 12.8% in Bee.
- Higher depression rates are seen in Severna park at 19.9% versus 16.7% in Bee.
- Smoking is more prevalent in Bee at 13.6% compared to 9.0% in Severna park.
- Binge drinking is more common in Bee at 22.4% compared to 18.4% in Severna park.
- Obesity rates are higher in Bee at 35.0% compared to 31.9% in Severna park.
- Disability percentages are higher in Bee at 37.0% 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 | Bee | Severna park |
---|---|---|
No Schooling | 1.2% (2) | 0.4% (145) |
High School Diploma | 26.6% (45) | 10.9% (4,392) |
Less than High School | 8.3% (14) | 4.3% (1,731) |
Bachelor's Degree and Higher | 10.1% (17) | 38.1% (15,411) |
Education Levels Comparison: Bee vs Severna park
- A higher percentage of residents in Bee have no formal schooling at 1.2% compared to 0.4% in Severna park.
- A higher percentage of residents in Bee hold a high school diploma at 26.6% compared to 10.9% in Severna park.
- More residents in Bee have less than a high school education at 8.3% compared to 4.3% in Severna park.
- In Severna park, a larger share of residents have a bachelor's degree or higher at 38.1% compared to 10.1% in Bee.
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.