Demographics details for Lawrence, KS vs Girdletree, MD
Population Overview
Compare main population characteristics in Lawrence, KS vs Girdletree, MD.
| Data | Lawrence | Girdletree |
|---|---|---|
| Population | 95,794 | 122 |
| Median Age | 28.8 years | 57.4 years |
| Median Income | $59,834 | $129,167 |
| Married Families | 32.0% | 50.0% |
| Poverty Level | 12% | Data is updating |
| Unemployment Rate | 3.9 | Data is updating |
Population Comparison: Lawrence vs Girdletree
- In Lawrence, the population is higher at 95,794, compared to 122 in Girdletree.
- The median age in Girdletree is higher at 57.4 years, compared to 28.8 years in Lawrence.
- Girdletree has a higher median income of $129,167, compared to $59,834 in Lawrence.
- In Girdletree, the percentage of married families is higher at 50.0%, compared to 32.0% in Lawrence.
- Lawrence has a higher poverty level at 12% compared to 0% in Girdletree.
- The unemployment rate in Lawrence is higher at 3.9%, compared to 0.0% in Girdletree.
Demographics
Demographics Lawrence vs Girdletree provide insight into the diversity of the communities to compare.
| Demographic | Lawrence | Girdletree |
|---|---|---|
| Black | 5 | Data is updating |
| White | 71 | 89 |
| Asian | 6 | 11 |
| Hispanic | 7 | Data is updating |
| Two or More Races | 9 | Data is updating |
| American Indian | 2 | Data is updating |
Demographics Comparison: Lawrence vs Girdletree
- A higher percentage of Black residents are in Lawrence at 5% compared to 0% in Girdletree.
- The percentage of White residents is higher in Girdletree at 89% compared to 71% in Lawrence.
- In Girdletree, the Asian population stands at 11%, greater than 6% in Lawrence.
- The Hispanic community is larger in Lawrence at 7% compared to 0% in Girdletree.
- More residents identify as two or more races in Lawrence at 9% compared to 0% in Girdletree.
- A greater percentage of American Indian residents live in Lawrence at 2% compared to 0% in Girdletree.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lawrence | Girdletree |
|---|---|---|
| Mental Health Not Good | 16.5% | 16.7% |
| Physical Health Not Good | 9.5% | 10.6% |
| Depression | 22.3% | 20.8% |
| Smoking | 14.8% | 18.7% |
| Binge Drinking | 19.6% | 18.8% |
| Obesity | 32.8% | 39.6% |
| Disability Percentage | 10.0% | 8.0% |
Health Statistics Comparison: Lawrence vs Girdletree
- In Girdletree, a higher percentage report poor mental health at 16.7% compared to 16.5% in Lawrence.
- Depression is more prevalent in Lawrence at 22.3% compared to 20.8% in Girdletree.
- Girdletree has a higher smoking rate at 18.7% compared to 14.8% in Lawrence.
- Binge drinking is more common in Lawrence at 19.6% compared to 18.8% in Girdletree.
- Girdletree has higher obesity rates at 39.6% compared to 32.8% in Lawrence.
- Disability percentages are higher in Lawrence at 10.0% compared to 8.0% in Girdletree.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lawrence | Girdletree |
|---|---|---|
| No Schooling | 0.5% (466) | 0.0% (Data is updating) |
| High School Diploma | 8.2% (7,882) | 44.3% (54) |
| Less than High School | 4.0% (3,784) | 19.7% (24) |
| Bachelor's Degree and Higher | 31.1% (29,776) | 5.7% (7) |
Education Levels Comparison: Lawrence vs Girdletree
- A higher percentage of residents in Lawrence have no formal schooling at 0.5% compared to 0.0% in Girdletree.
- In Girdletree, the rate of residents with high school diplomas is higher at 44.3% compared to 8.2% in Lawrence.
- The percentage of residents with less than a high school education is higher in Girdletree at 19.7%, compared to 4.0% in Lawrence.
- A higher percentage of residents in Lawrence hold a bachelor's degree or higher at 31.1% compared to 5.7% in Girdletree.
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.