Demographics details for Lutz, FL vs Severna park, MD
Population Overview
Compare main population characteristics in Lutz, FL vs Severna park, MD.
Data | Lutz | Severna park |
---|---|---|
Population | 24,721 | 40,452 |
Median Age | 41.0 years | 41.5 years |
Median Income | $101,159 | $164,288 |
Married Families | 49.0% | 48.0% |
Poverty Level | 5% | 3% |
Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Lutz vs Severna park
- The population in Severna park is higher at 40,452, compared to 24,721 in Lutz.
- The median age in Severna park is higher at 41.5 years, compared to 41.0 years in Lutz.
- Severna park has a higher median income of $164,288, compared to $101,159 in Lutz.
- A higher percentage of married families is found in Lutz at 49.0% compared to 48.0% in Severna park.
- Lutz has a higher poverty level at 5% compared to 3% in Severna park.
- The unemployment rate is the same in both Lutz and Severna park at 3.2%.
Demographics
Demographics Lutz vs Severna park provide insight into the diversity of the communities to compare.
Demographic | Lutz | Severna park |
---|---|---|
Black | 6 | 3 |
White | 58 | 86 |
Asian | 6 | 3 |
Hispanic | 18 | 3 |
Two or More Races | 12 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Lutz vs Severna park
- A higher percentage of Black residents are in Lutz at 6% compared to 3% in Severna park.
- The percentage of White residents is higher in Severna park at 86% compared to 58% in Lutz.
- The Asian population is larger in Lutz at 6% compared to 3% in Severna park.
- The Hispanic community is larger in Lutz at 18% compared to 3% in Severna park.
- More residents identify as two or more races in Lutz at 12% compared to 5% in Severna park.
- The percentage of American Indian residents is the same in both Lutz and Severna park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Lutz | Severna park |
---|---|---|
Mental Health Not Good | 14.4% | 13.1% |
Physical Health Not Good | 8.7% | 7.3% |
Depression | 17.7% | 19.9% |
Smoking | 14.2% | 9.0% |
Binge Drinking | 18.5% | 18.4% |
Obesity | 26.0% | 31.9% |
Disability Percentage | 10.0% | 8.0% |
Health Statistics Comparison: Lutz vs Severna park
- More residents in Lutz report poor mental health at 14.4% compared to 13.1% in Severna park.
- Higher depression rates are seen in Severna park at 19.9% versus 17.7% in Lutz.
- Smoking is more prevalent in Lutz at 14.2% compared to 9.0% in Severna park.
- Binge drinking is more common in Lutz at 18.5% compared to 18.4% in Severna park.
- Severna park has higher obesity rates at 31.9% compared to 26.0% in Lutz.
- Disability percentages are higher in Lutz at 10.0% 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 | Lutz | Severna park |
---|---|---|
No Schooling | 0.5% (114) | 0.4% (145) |
High School Diploma | 10.6% (2,621) | 10.9% (4,392) |
Less than High School | 3.1% (774) | 4.3% (1,731) |
Bachelor's Degree and Higher | 33.7% (8,336) | 38.1% (15,411) |
Education Levels Comparison: Lutz vs Severna park
- A higher percentage of residents in Lutz have no formal schooling at 0.5% compared to 0.4% in Severna park.
- In Severna park, the rate of residents with high school diplomas is higher at 10.9% compared to 10.6% in Lutz.
- The percentage of residents with less than a high school education is higher in Severna park at 4.3%, compared to 3.1% in Lutz.
- In Severna park, a larger share of residents have a bachelor's degree or higher at 38.1% compared to 33.7% in Lutz.
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.