Demographics details for Sudlersville, MD vs Gray, ME
Population Overview
Compare main population characteristics in Sudlersville, MD vs Gray, ME.
| Data | Sudlersville | Gray |
|---|---|---|
| Population | 516 | 7,761 |
| Median Age | 44.4 years | 43.0 years |
| Median Income | $40,000 | $81,712 |
| Married Families | 21.0% | 60.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 3.5 | 2.1 |
Population Comparison: Sudlersville vs Gray
- The population in Gray is higher at 7,761, compared to 516 in Sudlersville.
- Residents in Sudlersville have a higher median age of 44.4 years compared to 43.0 years in Gray.
- Gray has a higher median income of $81,712, compared to $40,000 in Sudlersville.
- In Gray, the percentage of married families is higher at 60.0%, compared to 21.0% in Sudlersville.
- Sudlersville has a higher poverty level at 12% compared to 5% in Gray.
- The unemployment rate in Sudlersville is higher at 3.5%, compared to 2.1% in Gray.
Demographics
Demographics Sudlersville vs Gray provide insight into the diversity of the communities to compare.
| Demographic | Sudlersville | Gray |
|---|---|---|
| Black | 5 | 1 |
| White | 86 | 95 |
| Asian | Data is updating | 1 |
| Hispanic | 9 | 3 |
| Two or More Races | Data is updating | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sudlersville vs Gray
- A higher percentage of Black residents are in Sudlersville at 5% compared to 1% in Gray.
- The percentage of White residents is higher in Gray at 95% compared to 86% in Sudlersville.
- In Gray, the Asian population stands at 1%, greater than 0% in Sudlersville.
- The Hispanic community is larger in Sudlersville at 9% compared to 3% in Gray.
- The percentage of residents identifying as two or more races is higher in Gray at 2%, compared to 0% in Sudlersville.
- The percentage of American Indian residents is the same in both Sudlersville and Gray at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sudlersville | Gray |
|---|---|---|
| Mental Health Not Good | 18.1% | Data is updating% |
| Physical Health Not Good | 12.1% | Data is updating% |
| Depression | 22.4% | Data is updating% |
| Smoking | 19.8% | Data is updating% |
| Binge Drinking | 16.2% | Data is updating% |
| Obesity | 39.1% | Data is updating% |
| Disability Percentage | 19.0% | Data is updating% |
Health Statistics Comparison: Sudlersville vs Gray
- More residents in Sudlersville report poor mental health at 18.1% compared to 0.0% in Gray.
- Depression is more prevalent in Sudlersville at 22.4% compared to 0.0% in Gray.
- Smoking is more prevalent in Sudlersville at 19.8% compared to 0.0% in Gray.
- Binge drinking is more common in Sudlersville at 16.2% compared to 0.0% in Gray.
- Obesity rates are higher in Sudlersville at 39.1% compared to 0.0% in Gray.
- Disability percentages are higher in Sudlersville at 19.0% compared to 0.0% in Gray.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sudlersville | Gray |
|---|---|---|
| No Schooling | 0.6% (3) | 0.0% (Data is updating) |
| High School Diploma | 29.7% (153) | 0.0% (Data is updating) |
| Less than High School | 8.9% (46) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 9.1% (47) | 0.0% (Data is updating) |
Education Levels Comparison: Sudlersville vs Gray
- A higher percentage of residents in Sudlersville have no formal schooling at 0.6% compared to 0.0% in Gray.
- A higher percentage of residents in Sudlersville hold a high school diploma at 29.7% compared to 0.0% in Gray.
- More residents in Sudlersville have less than a high school education at 8.9% compared to 0.0% in Gray.
- A higher percentage of residents in Sudlersville hold a bachelor's degree or higher at 9.1% compared to 0.0% in Gray.
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.