Demographics details for Long beach, WA vs Girdletree, MD
Population Overview
Compare main population characteristics in Long beach, WA vs Girdletree, MD.
| Data | Long beach | Girdletree |
|---|---|---|
| Population | 1,754 | 122 |
| Median Age | 51.3 years | 57.4 years |
| Median Income | $47,188 | $129,167 |
| Married Families | 41.0% | 50.0% |
| Poverty Level | 10% | Data is updating |
| Unemployment Rate | 5.5 | Data is updating |
Population Comparison: Long beach vs Girdletree
- In Long beach, the population is higher at 1,754, compared to 122 in Girdletree.
- The median age in Girdletree is higher at 57.4 years, compared to 51.3 years in Long beach.
- Girdletree has a higher median income of $129,167, compared to $47,188 in Long beach.
- In Girdletree, the percentage of married families is higher at 50.0%, compared to 41.0% in Long beach.
- Long beach has a higher poverty level at 10% compared to 0% in Girdletree.
- The unemployment rate in Long beach is higher at 5.5%, compared to 0.0% in Girdletree.
Demographics
Demographics Long beach vs Girdletree provide insight into the diversity of the communities to compare.
| Demographic | Long beach | Girdletree |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 86 | 89 |
| Asian | 1 | 11 |
| Hispanic | 7 | Data is updating |
| Two or More Races | 5 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Long beach vs Girdletree
- The percentage of Black residents is the same in both Long beach and Girdletree at 0%.
- The percentage of White residents is higher in Girdletree at 89% compared to 86% in Long beach.
- In Girdletree, the Asian population stands at 11%, greater than 1% in Long beach.
- The Hispanic community is larger in Long beach at 7% compared to 0% in Girdletree.
- More residents identify as two or more races in Long beach at 5% compared to 0% in Girdletree.
- A greater percentage of American Indian residents live in Long beach at 1% compared to 0% in Girdletree.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Long beach | Girdletree |
|---|---|---|
| Mental Health Not Good | 20.3% | 16.7% |
| Physical Health Not Good | 14.8% | 10.6% |
| Depression | 28.9% | 20.8% |
| Smoking | 20.1% | 18.7% |
| Binge Drinking | 16.2% | 18.8% |
| Obesity | 38.5% | 39.6% |
| Disability Percentage | 28.0% | 8.0% |
Health Statistics Comparison: Long beach vs Girdletree
- More residents in Long beach report poor mental health at 20.3% compared to 16.7% in Girdletree.
- Depression is more prevalent in Long beach at 28.9% compared to 20.8% in Girdletree.
- Smoking is more prevalent in Long beach at 20.1% compared to 18.7% in Girdletree.
- More residents engage in binge drinking in Girdletree at 18.8% compared to 16.2% in Long beach.
- Girdletree has higher obesity rates at 39.6% compared to 38.5% in Long beach.
- Disability percentages are higher in Long beach at 28.0% 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 | Long beach | Girdletree |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 19.6% (343) | 44.3% (54) |
| Less than High School | 13.6% (238) | 19.7% (24) |
| Bachelor's Degree and Higher | 14.3% (250) | 5.7% (7) |
Education Levels Comparison: Long beach vs Girdletree
- The percentage of residents with no formal schooling is the same in both Long beach and Girdletree at 0.0%.
- In Girdletree, the rate of residents with high school diplomas is higher at 44.3% compared to 19.6% in Long beach.
- The percentage of residents with less than a high school education is higher in Girdletree at 19.7%, compared to 13.6% in Long beach.
- A higher percentage of residents in Long beach hold a bachelor's degree or higher at 14.3% 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.