Demographics details for Gray, ME vs Wilmington, NC
Population Overview
Compare main population characteristics in Gray, ME vs Wilmington, NC.
| Data | Gray | Wilmington |
|---|---|---|
| Population | 7,761 | 120,324 |
| Median Age | 43.0 years | 37.6 years |
| Median Income | $81,712 | $58,908 |
| Married Families | 60.0% | 32.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 2.1 | 3.7 |
Population Comparison: Gray vs Wilmington
- The population in Wilmington is higher at 120,324, compared to 7,761 in Gray.
- Residents in Gray have a higher median age of 43.0 years compared to 37.6 years in Wilmington.
- Gray has a higher median income of $81,712 compared to $58,908 in Wilmington.
- A higher percentage of married families is found in Gray at 60.0% compared to 32.0% in Wilmington.
- The poverty level is higher in Wilmington at 12%, compared to 5% in Gray.
- Wilmington has a higher unemployment rate at 3.7% compared to 2.1% in Gray.
Demographics
Demographics Gray vs Wilmington provide insight into the diversity of the communities to compare.
| Demographic | Gray | Wilmington |
|---|---|---|
| Black | 1 | 16 |
| White | 95 | 71 |
| Asian | 1 | 1 |
| Hispanic | 3 | 7 |
| Two or More Races | 2 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Gray vs Wilmington
- In Wilmington, the percentage of Black residents is higher at 16% compared to 1% in Gray.
- Gray has a higher percentage of White residents at 95% compared to 71% in Wilmington.
- Both Gray and Wilmington have the same percentage of Asian residents at 1%.
- Wilmington has a higher percentage of Hispanic residents at 7%, compared to 3% in Gray.
- The percentage of residents identifying as two or more races is higher in Wilmington at 5%, compared to 2% in Gray.
- The percentage of American Indian residents is the same in both Gray and Wilmington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Gray | Wilmington |
|---|---|---|
| Mental Health Not Good | Data is updating% | 16.9% |
| Physical Health Not Good | Data is updating% | 11.0% |
| Depression | Data is updating% | 25.0% |
| Smoking | Data is updating% | 16.5% |
| Binge Drinking | Data is updating% | 18.5% |
| Obesity | Data is updating% | 33.2% |
| Disability Percentage | Data is updating% | 12.0% |
Health Statistics Comparison: Gray vs Wilmington
- In Wilmington, a higher percentage report poor mental health at 16.9% compared to 0.0% in Gray.
- Higher depression rates are seen in Wilmington at 25.0% versus 0.0% in Gray.
- Wilmington has a higher smoking rate at 16.5% compared to 0.0% in Gray.
- More residents engage in binge drinking in Wilmington at 18.5% compared to 0.0% in Gray.
- Wilmington has higher obesity rates at 33.2% compared to 0.0% in Gray.
- There is a higher percentage of disabled individuals in Wilmington at 12.0% 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 | Gray | Wilmington |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.5% (560) |
| High School Diploma | 0.0% (Data is updating) | 10.5% (12,679) |
| Less than High School | 0.0% (Data is updating) | 7.1% (8,513) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 28.5% (34,319) |
Education Levels Comparison: Gray vs Wilmington
- In Wilmington, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Gray.
- In Wilmington, the rate of residents with high school diplomas is higher at 10.5% compared to 0.0% in Gray.
- The percentage of residents with less than a high school education is higher in Wilmington at 7.1%, compared to 0.0% in Gray.
- In Wilmington, a larger share of residents have a bachelor's degree or higher at 28.5% 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.