Demographics details for Milpitas, CA vs Greenbelt, MD
Population Overview
Compare main population characteristics in Milpitas, CA vs Greenbelt, MD.
| Data | Milpitas | Greenbelt |
|---|---|---|
| Population | 77,738 | 24,360 |
| Median Age | 36.1 years | 37.2 years |
| Median Income | $166,769 | $82,019 |
| Married Families | 47.0% | 30.0% |
| Poverty Level | 8% | 9% |
| Unemployment Rate | 4.3 | 6.5 |
Population Comparison: Milpitas vs Greenbelt
- In Milpitas, the population is higher at 77,738, compared to 24,360 in Greenbelt.
- The median age in Greenbelt is higher at 37.2 years, compared to 36.1 years in Milpitas.
- Milpitas has a higher median income of $166,769 compared to $82,019 in Greenbelt.
- A higher percentage of married families is found in Milpitas at 47.0% compared to 30.0% in Greenbelt.
- The poverty level is higher in Greenbelt at 9%, compared to 8% in Milpitas.
- Greenbelt has a higher unemployment rate at 6.5% compared to 4.3% in Milpitas.
Demographics
Demographics Milpitas vs Greenbelt provide insight into the diversity of the communities to compare.
| Demographic | Milpitas | Greenbelt |
|---|---|---|
| Black | 2 | 48 |
| White | 6 | 17 |
| Asian | 71 | 12 |
| Hispanic | 14 | 16 |
| Two or More Races | 7 | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Milpitas vs Greenbelt
- In Greenbelt, the percentage of Black residents is higher at 48% compared to 2% in Milpitas.
- The percentage of White residents is higher in Greenbelt at 17% compared to 6% in Milpitas.
- The Asian population is larger in Milpitas at 71% compared to 12% in Greenbelt.
- Greenbelt has a higher percentage of Hispanic residents at 16%, compared to 14% in Milpitas.
- More residents identify as two or more races in Milpitas at 7% compared to 6% in Greenbelt.
- In Greenbelt, the percentage of American Indian residents is higher at 1%, compared to 0% in Milpitas.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Milpitas | Greenbelt |
|---|---|---|
| Mental Health Not Good | 11.1% | 12.9% |
| Physical Health Not Good | 7.0% | 8.1% |
| Depression | 11.6% | 13.0% |
| Smoking | 7.3% | 9.8% |
| Binge Drinking | 12.0% | 12.3% |
| Obesity | 15.8% | 36.0% |
| Disability Percentage | 7.0% | 10.0% |
Health Statistics Comparison: Milpitas vs Greenbelt
- In Greenbelt, a higher percentage report poor mental health at 12.9% compared to 11.1% in Milpitas.
- Higher depression rates are seen in Greenbelt at 13.0% versus 11.6% in Milpitas.
- Greenbelt has a higher smoking rate at 9.8% compared to 7.3% in Milpitas.
- More residents engage in binge drinking in Greenbelt at 12.3% compared to 12.0% in Milpitas.
- Greenbelt has higher obesity rates at 36.0% compared to 15.8% in Milpitas.
- There is a higher percentage of disabled individuals in Greenbelt at 10.0% compared to 7.0% in Milpitas.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Milpitas | Greenbelt |
|---|---|---|
| No Schooling | 2.4% (1,889) | 2.2% (530) |
| High School Diploma | 9.2% (7,183) | 9.0% (2,195) |
| Less than High School | 11.0% (8,538) | 11.4% (2,766) |
| Bachelor's Degree and Higher | 41.4% (32,153) | 32.2% (7,832) |
Education Levels Comparison: Milpitas vs Greenbelt
- A higher percentage of residents in Milpitas have no formal schooling at 2.4% compared to 2.2% in Greenbelt.
- A higher percentage of residents in Milpitas hold a high school diploma at 9.2% 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 11.0% in Milpitas.
- A higher percentage of residents in Milpitas hold a bachelor's degree or higher at 41.4% 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.