Demographics details for Gray, ME vs Bellevue, MI
Population Overview
Compare main population characteristics in Gray, ME vs Bellevue, MI.
| Data | Gray | Bellevue |
|---|---|---|
| Population | 7,761 | 1,342 |
| Median Age | 43.0 years | 36.1 years |
| Median Income | $81,712 | $58,750 |
| Married Families | 60.0% | 33.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 2.1 | 3.5 |
Population Comparison: Gray vs Bellevue
- In Gray, the population is higher at 7,761, compared to 1,342 in Bellevue.
- Residents in Gray have a higher median age of 43.0 years compared to 36.1 years in Bellevue.
- Gray has a higher median income of $81,712 compared to $58,750 in Bellevue.
- A higher percentage of married families is found in Gray at 60.0% compared to 33.0% in Bellevue.
- The poverty level is higher in Bellevue at 10%, compared to 5% in Gray.
- Bellevue has a higher unemployment rate at 3.5% compared to 2.1% in Gray.
Demographics
Demographics Gray vs Bellevue provide insight into the diversity of the communities to compare.
| Demographic | Gray | Bellevue |
|---|---|---|
| Black | 1 | Data is updating |
| White | 95 | 85 |
| Asian | 1 | Data is updating |
| Hispanic | 3 | 8 |
| Two or More Races | 2 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Gray vs Bellevue
- A higher percentage of Black residents are in Gray at 1% compared to 0% in Bellevue.
- Gray has a higher percentage of White residents at 95% compared to 85% in Bellevue.
- The Asian population is larger in Gray at 1% compared to 0% in Bellevue.
- Bellevue has a higher percentage of Hispanic residents at 8%, compared to 3% in Gray.
- The percentage of residents identifying as two or more races is higher in Bellevue at 7%, compared to 2% in Gray.
- The percentage of American Indian residents is the same in both Gray and Bellevue at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Gray | Bellevue |
|---|---|---|
| Mental Health Not Good | Data is updating% | 18.1% |
| Physical Health Not Good | Data is updating% | 11.1% |
| Depression | Data is updating% | 26.7% |
| Smoking | Data is updating% | 19.1% |
| Binge Drinking | Data is updating% | 18.7% |
| Obesity | Data is updating% | 35.4% |
| Disability Percentage | Data is updating% | 20.0% |
Health Statistics Comparison: Gray vs Bellevue
- In Bellevue, a higher percentage report poor mental health at 18.1% compared to 0.0% in Gray.
- Higher depression rates are seen in Bellevue at 26.7% versus 0.0% in Gray.
- Bellevue has a higher smoking rate at 19.1% compared to 0.0% in Gray.
- More residents engage in binge drinking in Bellevue at 18.7% compared to 0.0% in Gray.
- Bellevue has higher obesity rates at 35.4% compared to 0.0% in Gray.
- There is a higher percentage of disabled individuals in Bellevue at 20.0% 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 | Bellevue |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.3% (4) |
| High School Diploma | 0.0% (Data is updating) | 21.4% (287) |
| Less than High School | 0.0% (Data is updating) | 3.7% (50) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 8.5% (114) |
Education Levels Comparison: Gray vs Bellevue
- In Bellevue, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Gray.
- In Bellevue, the rate of residents with high school diplomas is higher at 21.4% compared to 0.0% in Gray.
- The percentage of residents with less than a high school education is higher in Bellevue at 3.7%, compared to 0.0% in Gray.
- In Bellevue, a larger share of residents have a bachelor's degree or higher at 8.5% 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.