Demographics details for Greenbelt, MD vs Odessa, MN
Population Overview
Compare main population characteristics in Greenbelt, MD vs Odessa, MN.
| Data | Greenbelt | Odessa |
|---|---|---|
| Population | 24,360 | 104 |
| Median Age | 37.2 years | 49.4 years |
| Median Income | $82,019 | $46,875 |
| Married Families | 30.0% | 38.0% |
| Poverty Level | 9% | Data is updating |
| Unemployment Rate | 6.5 | 2.3 |
Population Comparison: Greenbelt vs Odessa
- In Greenbelt, the population is higher at 24,360, compared to 104 in Odessa.
- The median age in Odessa is higher at 49.4 years, compared to 37.2 years in Greenbelt.
- Greenbelt has a higher median income of $82,019 compared to $46,875 in Odessa.
- In Odessa, the percentage of married families is higher at 38.0%, compared to 30.0% in Greenbelt.
- Greenbelt has a higher poverty level at 9% compared to 0% in Odessa.
- The unemployment rate in Greenbelt is higher at 6.5%, compared to 2.3% in Odessa.
Demographics
Demographics Greenbelt vs Odessa provide insight into the diversity of the communities to compare.
| Demographic | Greenbelt | Odessa |
|---|---|---|
| Black | 48 | Data is updating |
| White | 17 | 88 |
| Asian | 12 | 12 |
| Hispanic | 16 | Data is updating |
| Two or More Races | 6 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Greenbelt vs Odessa
- A higher percentage of Black residents are in Greenbelt at 48% compared to 0% in Odessa.
- The percentage of White residents is higher in Odessa at 88% compared to 17% in Greenbelt.
- Both Greenbelt and Odessa have the same percentage of Asian residents at 12%.
- The Hispanic community is larger in Greenbelt at 16% compared to 0% in Odessa.
- More residents identify as two or more races in Greenbelt at 6% compared to 0% in Odessa.
- A greater percentage of American Indian residents live in Greenbelt at 1% compared to 0% in Odessa.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Greenbelt | Odessa |
|---|---|---|
| Mental Health Not Good | 12.9% | 14.7% |
| Physical Health Not Good | 8.1% | 9.1% |
| Depression | 13.0% | 22.5% |
| Smoking | 9.8% | 17.9% |
| Binge Drinking | 12.3% | 21.4% |
| Obesity | 36.0% | 36.8% |
| Disability Percentage | 10.0% | 18.0% |
Health Statistics Comparison: Greenbelt vs Odessa
- In Odessa, a higher percentage report poor mental health at 14.7% compared to 12.9% in Greenbelt.
- Higher depression rates are seen in Odessa at 22.5% versus 13.0% in Greenbelt.
- Odessa has a higher smoking rate at 17.9% compared to 9.8% in Greenbelt.
- More residents engage in binge drinking in Odessa at 21.4% compared to 12.3% in Greenbelt.
- Odessa has higher obesity rates at 36.8% compared to 36.0% in Greenbelt.
- There is a higher percentage of disabled individuals in Odessa at 18.0% 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 | Greenbelt | Odessa |
|---|---|---|
| No Schooling | 2.2% (530) | 1.9% (2) |
| High School Diploma | 9.0% (2,195) | 26.0% (27) |
| Less than High School | 11.4% (2,766) | 13.5% (14) |
| Bachelor's Degree and Higher | 32.2% (7,832) | 26.0% (27) |
Education Levels Comparison: Greenbelt vs Odessa
- A higher percentage of residents in Greenbelt have no formal schooling at 2.2% compared to 1.9% in Odessa.
- In Odessa, the rate of residents with high school diplomas is higher at 26.0% compared to 9.0% in Greenbelt.
- The percentage of residents with less than a high school education is higher in Odessa at 13.5%, compared to 11.4% in Greenbelt.
- A higher percentage of residents in Greenbelt hold a bachelor's degree or higher at 32.2% compared to 26.0% in Odessa.
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.