Demographics details for Bellevue, MI vs Greenbelt, MD
Population Overview
Compare main population characteristics in Bellevue, MI vs Greenbelt, MD.
| Data | Bellevue | Greenbelt |
|---|---|---|
| Population | 1,342 | 24,360 |
| Median Age | 36.1 years | 37.2 years |
| Median Income | $58,750 | $82,019 |
| Married Families | 33.0% | 30.0% |
| Poverty Level | 10% | 9% |
| Unemployment Rate | 3.5 | 6.5 |
Population Comparison: Bellevue vs Greenbelt
- The population in Greenbelt is higher at 24,360, compared to 1,342 in Bellevue.
- The median age in Greenbelt is higher at 37.2 years, compared to 36.1 years in Bellevue.
- Greenbelt has a higher median income of $82,019, compared to $58,750 in Bellevue.
- A higher percentage of married families is found in Bellevue at 33.0% compared to 30.0% in Greenbelt.
- Bellevue has a higher poverty level at 10% compared to 9% in Greenbelt.
- Greenbelt has a higher unemployment rate at 6.5% compared to 3.5% in Bellevue.
Demographics
Demographics Bellevue vs Greenbelt provide insight into the diversity of the communities to compare.
| Demographic | Bellevue | Greenbelt |
|---|---|---|
| Black | Data is updating | 48 |
| White | 85 | 17 |
| Asian | Data is updating | 12 |
| Hispanic | 8 | 16 |
| Two or More Races | 7 | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Bellevue vs Greenbelt
- In Greenbelt, the percentage of Black residents is higher at 48% compared to 0% in Bellevue.
- Bellevue has a higher percentage of White residents at 85% compared to 17% in Greenbelt.
- In Greenbelt, the Asian population stands at 12%, greater than 0% in Bellevue.
- Greenbelt has a higher percentage of Hispanic residents at 16%, compared to 8% in Bellevue.
- More residents identify as two or more races in Bellevue at 7% compared to 6% in Greenbelt.
- In Greenbelt, the percentage of American Indian residents is higher at 1%, compared to 0% in Bellevue.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bellevue | Greenbelt |
|---|---|---|
| Mental Health Not Good | 18.1% | 12.9% |
| Physical Health Not Good | 11.1% | 8.1% |
| Depression | 26.7% | 13.0% |
| Smoking | 19.1% | 9.8% |
| Binge Drinking | 18.7% | 12.3% |
| Obesity | 35.4% | 36.0% |
| Disability Percentage | 20.0% | 10.0% |
Health Statistics Comparison: Bellevue vs Greenbelt
- More residents in Bellevue report poor mental health at 18.1% compared to 12.9% in Greenbelt.
- Depression is more prevalent in Bellevue at 26.7% compared to 13.0% in Greenbelt.
- Smoking is more prevalent in Bellevue at 19.1% compared to 9.8% in Greenbelt.
- Binge drinking is more common in Bellevue at 18.7% compared to 12.3% in Greenbelt.
- Greenbelt has higher obesity rates at 36.0% compared to 35.4% in Bellevue.
- Disability percentages are higher in Bellevue at 20.0% compared to 10.0% in Greenbelt.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bellevue | Greenbelt |
|---|---|---|
| No Schooling | 0.3% (4) | 2.2% (530) |
| High School Diploma | 21.4% (287) | 9.0% (2,195) |
| Less than High School | 3.7% (50) | 11.4% (2,766) |
| Bachelor's Degree and Higher | 8.5% (114) | 32.2% (7,832) |
Education Levels Comparison: Bellevue vs Greenbelt
- In Greenbelt, a larger percentage of residents lack formal schooling at 2.2% compared to 0.3% in Bellevue.
- A higher percentage of residents in Bellevue hold a high school diploma at 21.4% compared to 9.0% in Greenbelt.
- The percentage of residents with less than a high school education is higher in Greenbelt at 11.4%, compared to 3.7% in Bellevue.
- In Greenbelt, a larger share of residents have a bachelor's degree or higher at 32.2% compared to 8.5% in Bellevue.
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.