Demographics details for Washington, NC vs Girdletree, MD
Population Overview
Compare main population characteristics in Washington, NC vs Girdletree, MD.
Data | Washington | Girdletree |
---|---|---|
Population | 10,828 | 122 |
Median Age | 48.0 years | 57.4 years |
Median Income | $38,927 | $129,167 |
Married Families | 34.0% | 50.0% |
Poverty Level | 16% | Data is updating |
Unemployment Rate | 4.8 | Data is updating |
Population Comparison: Washington vs Girdletree
- In Washington, the population is higher at 10,828, compared to 122 in Girdletree.
- The median age in Girdletree is higher at 57.4 years, compared to 48.0 years in Washington.
- Girdletree has a higher median income of $129,167, compared to $38,927 in Washington.
- In Girdletree, the percentage of married families is higher at 50.0%, compared to 34.0% in Washington.
- Washington has a higher poverty level at 16% compared to 0% in Girdletree.
- The unemployment rate in Washington is higher at 4.8%, compared to 0.0% in Girdletree.
Demographics
Demographics Washington vs Girdletree provide insight into the diversity of the communities to compare.
Demographic | Washington | Girdletree |
---|---|---|
Black | 49 | Data is updating |
White | 41 | 89 |
Asian | Data is updating | 11 |
Hispanic | 6 | Data is updating |
Two or More Races | 3 | Data is updating |
American Indian | 1 | Data is updating |
Demographics Comparison: Washington vs Girdletree
- A higher percentage of Black residents are in Washington at 49% compared to 0% in Girdletree.
- The percentage of White residents is higher in Girdletree at 89% compared to 41% in Washington.
- In Girdletree, the Asian population stands at 11%, greater than 0% in Washington.
- The Hispanic community is larger in Washington at 6% compared to 0% in Girdletree.
- More residents identify as two or more races in Washington at 3% compared to 0% in Girdletree.
- A greater percentage of American Indian residents live in Washington at 1% compared to 0% in Girdletree.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Washington | Girdletree |
---|---|---|
Mental Health Not Good | 18.3% | 16.7% |
Physical Health Not Good | 13.8% | 10.6% |
Depression | 22.8% | 20.8% |
Smoking | 21.9% | 18.7% |
Binge Drinking | 14.7% | 18.8% |
Obesity | 43.3% | 39.6% |
Disability Percentage | 24.0% | 8.0% |
Health Statistics Comparison: Washington vs Girdletree
- More residents in Washington report poor mental health at 18.3% compared to 16.7% in Girdletree.
- Depression is more prevalent in Washington at 22.8% compared to 20.8% in Girdletree.
- Smoking is more prevalent in Washington at 21.9% compared to 18.7% in Girdletree.
- More residents engage in binge drinking in Girdletree at 18.8% compared to 14.7% in Washington.
- Obesity rates are higher in Washington at 43.3% compared to 39.6% in Girdletree.
- Disability percentages are higher in Washington at 24.0% 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 | Washington | Girdletree |
---|---|---|
No Schooling | 1.2% (128) | 0.0% (Data is updating) |
High School Diploma | 19.0% (2,058) | 44.3% (54) |
Less than High School | 13.7% (1,487) | 19.7% (24) |
Bachelor's Degree and Higher | 10.3% (1,118) | 5.7% (7) |
Education Levels Comparison: Washington vs Girdletree
- A higher percentage of residents in Washington have no formal schooling at 1.2% compared to 0.0% in Girdletree.
- In Girdletree, the rate of residents with high school diplomas is higher at 44.3% compared to 19.0% in Washington.
- The percentage of residents with less than a high school education is higher in Girdletree at 19.7%, compared to 13.7% in Washington.
- A higher percentage of residents in Washington hold a bachelor's degree or higher at 10.3% 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.