Demographics details for Severna park, MD vs Murray, KY
Population Overview
Compare main population characteristics in Severna park, MD vs Murray, KY.
Data | Severna park | Murray |
---|---|---|
Population | 40,452 | 17,522 |
Median Age | 41.5 years | 25.6 years |
Median Income | $164,288 | $37,421 |
Married Families | 48.0% | 26.0% |
Poverty Level | 3% | Data is updating |
Unemployment Rate | 3.2 | 3.8 |
Population Comparison: Severna park vs Murray
- In Severna park, the population is higher at 40,452, compared to 17,522 in Murray.
- Residents in Severna park have a higher median age of 41.5 years compared to 25.6 years in Murray.
- Severna park has a higher median income of $164,288 compared to $37,421 in Murray.
- A higher percentage of married families is found in Severna park at 48.0% compared to 26.0% in Murray.
- Severna park has a higher poverty level at 3% compared to 0% in Murray.
- Murray has a higher unemployment rate at 3.8% compared to 3.2% in Severna park.
Demographics
Demographics Severna park vs Murray provide insight into the diversity of the communities to compare.
Demographic | Severna park | Murray |
---|---|---|
Black | 3 | 6 |
White | 86 | 86 |
Asian | 3 | 3 |
Hispanic | 3 | 2 |
Two or More Races | 5 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Severna park vs Murray
- In Murray, the percentage of Black residents is higher at 6% compared to 3% in Severna park.
- The percentage of White residents is the same in both Severna park and Murray at 86%.
- Both Severna park and Murray have the same percentage of Asian residents at 3%.
- The Hispanic community is larger in Severna park at 3% compared to 2% in Murray.
- More residents identify as two or more races in Severna park at 5% compared to 3% in Murray.
- The percentage of American Indian residents is the same in both Severna park and Murray at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Severna park | Murray |
---|---|---|
Mental Health Not Good | 13.1% | 19.9% |
Physical Health Not Good | 7.3% | 14.1% |
Depression | 19.9% | 28.4% |
Smoking | 9.0% | 22.0% |
Binge Drinking | 18.4% | 14.0% |
Obesity | 31.9% | 41.3% |
Disability Percentage | 8.0% | 16.0% |
Health Statistics Comparison: Severna park vs Murray
- In Murray, a higher percentage report poor mental health at 19.9% compared to 13.1% in Severna park.
- Higher depression rates are seen in Murray at 28.4% versus 19.9% in Severna park.
- Murray has a higher smoking rate at 22.0% compared to 9.0% in Severna park.
- Binge drinking is more common in Severna park at 18.4% compared to 14.0% in Murray.
- Murray has higher obesity rates at 41.3% compared to 31.9% in Severna park.
- There is a higher percentage of disabled individuals in Murray at 16.0% 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 | Murray |
---|---|---|
No Schooling | 0.4% (145) | 0.9% (166) |
High School Diploma | 10.9% (4,392) | 10.5% (1,833) |
Less than High School | 4.3% (1,731) | 8.7% (1,531) |
Bachelor's Degree and Higher | 38.1% (15,411) | 18.2% (3,185) |
Education Levels Comparison: Severna park vs Murray
- In Murray, a larger percentage of residents lack formal schooling at 0.9% compared to 0.4% in Severna park.
- A higher percentage of residents in Severna park hold a high school diploma at 10.9% compared to 10.5% in Murray.
- The percentage of residents with less than a high school education is higher in Murray at 8.7%, 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 18.2% in Murray.
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.