Demographics details for Greenbelt, MD vs Petaluma, CA
Population Overview
Compare main population characteristics in Greenbelt, MD vs Petaluma, CA.
| Data | Greenbelt | Petaluma |
|---|---|---|
| Population | 24,360 | 58,652 |
| Median Age | 37.2 years | 43.5 years |
| Median Income | $82,019 | $108,527 |
| Married Families | 30.0% | 44.0% |
| Poverty Level | 9% | 7% |
| Unemployment Rate | 6.5 | 3.6 |
Population Comparison: Greenbelt vs Petaluma
- The population in Petaluma is higher at 58,652, compared to 24,360 in Greenbelt.
- The median age in Petaluma is higher at 43.5 years, compared to 37.2 years in Greenbelt.
- Petaluma has a higher median income of $108,527, compared to $82,019 in Greenbelt.
- In Petaluma, the percentage of married families is higher at 44.0%, compared to 30.0% in Greenbelt.
- Greenbelt has a higher poverty level at 9% compared to 7% in Petaluma.
- The unemployment rate in Greenbelt is higher at 6.5%, compared to 3.6% in Petaluma.
Demographics
Demographics Greenbelt vs Petaluma provide insight into the diversity of the communities to compare.
| Demographic | Greenbelt | Petaluma |
|---|---|---|
| Black | 48 | 1 |
| White | 17 | 62 |
| Asian | 12 | 5 |
| Hispanic | 16 | 20 |
| Two or More Races | 6 | 11 |
| American Indian | 1 | 1 |
Demographics Comparison: Greenbelt vs Petaluma
- A higher percentage of Black residents are in Greenbelt at 48% compared to 1% in Petaluma.
- The percentage of White residents is higher in Petaluma at 62% compared to 17% in Greenbelt.
- The Asian population is larger in Greenbelt at 12% compared to 5% in Petaluma.
- Petaluma has a higher percentage of Hispanic residents at 20%, compared to 16% in Greenbelt.
- The percentage of residents identifying as two or more races is higher in Petaluma at 11%, compared to 6% in Greenbelt.
- The percentage of American Indian residents is the same in both Greenbelt and Petaluma at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Greenbelt | Petaluma |
|---|---|---|
| Mental Health Not Good | 12.9% | 15.1% |
| Physical Health Not Good | 8.1% | 9.5% |
| Depression | 13.0% | 20.1% |
| Smoking | 9.8% | 10.5% |
| Binge Drinking | 12.3% | 20.4% |
| Obesity | 36.0% | 27.5% |
| Disability Percentage | 10.0% | 10.0% |
Health Statistics Comparison: Greenbelt vs Petaluma
- In Petaluma, a higher percentage report poor mental health at 15.1% compared to 12.9% in Greenbelt.
- Higher depression rates are seen in Petaluma at 20.1% versus 13.0% in Greenbelt.
- Petaluma has a higher smoking rate at 10.5% compared to 9.8% in Greenbelt.
- More residents engage in binge drinking in Petaluma at 20.4% compared to 12.3% in Greenbelt.
- Obesity rates are higher in Greenbelt at 36.0% compared to 27.5% in Petaluma.
- Disability percentages are the same in both Greenbelt and Petaluma at 10.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Greenbelt | Petaluma |
|---|---|---|
| No Schooling | 2.2% (530) | 1.0% (558) |
| High School Diploma | 9.0% (2,195) | 11.0% (6,434) |
| Less than High School | 11.4% (2,766) | 11.1% (6,496) |
| Bachelor's Degree and Higher | 32.2% (7,832) | 32.4% (18,996) |
Education Levels Comparison: Greenbelt vs Petaluma
- A higher percentage of residents in Greenbelt have no formal schooling at 2.2% compared to 1.0% in Petaluma.
- In Petaluma, the rate of residents with high school diplomas is higher at 11.0% compared to 9.0% in Greenbelt.
- More residents in Greenbelt have less than a high school education at 11.4% compared to 11.1% in Petaluma.
- In Petaluma, a larger share of residents have a bachelor's degree or higher at 32.4% compared to 32.2% in Greenbelt.
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.