Demographics details for Mount pocono, PA vs Milpitas, CA
Population Overview
Compare main population characteristics in Mount pocono, PA vs Milpitas, CA.
| Data | Mount pocono | Milpitas |
|---|---|---|
| Population | 3,071 | 77,738 |
| Median Age | 38.5 years | 36.1 years |
| Median Income | $81,127 | $166,769 |
| Married Families | 30.0% | 47.0% |
| Poverty Level | 10% | 8% |
| Unemployment Rate | 4.8 | 4.3 |
Population Comparison: Mount pocono vs Milpitas
- The population in Milpitas is higher at 77,738, compared to 3,071 in Mount pocono.
- Residents in Mount pocono have a higher median age of 38.5 years compared to 36.1 years in Milpitas.
- Milpitas has a higher median income of $166,769, compared to $81,127 in Mount pocono.
- In Milpitas, the percentage of married families is higher at 47.0%, compared to 30.0% in Mount pocono.
- Mount pocono has a higher poverty level at 10% compared to 8% in Milpitas.
- The unemployment rate in Mount pocono is higher at 4.8%, compared to 4.3% in Milpitas.
Demographics
Demographics Mount pocono vs Milpitas provide insight into the diversity of the communities to compare.
| Demographic | Mount pocono | Milpitas |
|---|---|---|
| Black | 16 | 2 |
| White | 41 | 6 |
| Asian | 6 | 71 |
| Hispanic | 33 | 14 |
| Two or More Races | 4 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount pocono vs Milpitas
- A higher percentage of Black residents are in Mount pocono at 16% compared to 2% in Milpitas.
- Mount pocono has a higher percentage of White residents at 41% compared to 6% in Milpitas.
- In Milpitas, the Asian population stands at 71%, greater than 6% in Mount pocono.
- The Hispanic community is larger in Mount pocono at 33% compared to 14% in Milpitas.
- The percentage of residents identifying as two or more races is higher in Milpitas at 7%, compared to 4% in Mount pocono.
- The percentage of American Indian residents is the same in both Mount pocono and Milpitas at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount pocono | Milpitas |
|---|---|---|
| Mental Health Not Good | 16.1% | 11.1% |
| Physical Health Not Good | 11.8% | 7.0% |
| Depression | 20.1% | 11.6% |
| Smoking | 18.1% | 7.3% |
| Binge Drinking | 16.1% | 12.0% |
| Obesity | 34.3% | 15.8% |
| Disability Percentage | 13.0% | 7.0% |
Health Statistics Comparison: Mount pocono vs Milpitas
- More residents in Mount pocono report poor mental health at 16.1% compared to 11.1% in Milpitas.
- Depression is more prevalent in Mount pocono at 20.1% compared to 11.6% in Milpitas.
- Smoking is more prevalent in Mount pocono at 18.1% compared to 7.3% in Milpitas.
- Binge drinking is more common in Mount pocono at 16.1% compared to 12.0% in Milpitas.
- Obesity rates are higher in Mount pocono at 34.3% compared to 15.8% in Milpitas.
- Disability percentages are higher in Mount pocono at 13.0% 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 | Mount pocono | Milpitas |
|---|---|---|
| No Schooling | 3.2% (98) | 2.4% (1,889) |
| High School Diploma | 27.4% (842) | 9.2% (7,183) |
| Less than High School | 18.1% (555) | 11.0% (8,538) |
| Bachelor's Degree and Higher | 15.9% (488) | 41.4% (32,153) |
Education Levels Comparison: Mount pocono vs Milpitas
- A higher percentage of residents in Mount pocono have no formal schooling at 3.2% compared to 2.4% in Milpitas.
- A higher percentage of residents in Mount pocono hold a high school diploma at 27.4% compared to 9.2% in Milpitas.
- More residents in Mount pocono have less than a high school education at 18.1% compared to 11.0% in Milpitas.
- In Milpitas, a larger share of residents have a bachelor's degree or higher at 41.4% compared to 15.9% in Mount pocono.
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.