Demographics details for Mount pocono, PA vs Santa ana, CA
Population Overview
Compare main population characteristics in Mount pocono, PA vs Santa ana, CA.
| Data | Mount pocono | Santa ana |
|---|---|---|
| Population | 3,071 | 308,189 |
| Median Age | 38.5 years | 33.4 years |
| Median Income | $81,127 | $84,210 |
| Married Families | 30.0% | 35.0% |
| Poverty Level | 10% | 14% |
| Unemployment Rate | 4.8 | 4.1 |
Population Comparison: Mount pocono vs Santa ana
- The population in Santa ana is higher at 308,189, compared to 3,071 in Mount pocono.
- Residents in Mount pocono have a higher median age of 38.5 years compared to 33.4 years in Santa ana.
- Santa ana has a higher median income of $84,210, compared to $81,127 in Mount pocono.
- In Santa ana, the percentage of married families is higher at 35.0%, compared to 30.0% in Mount pocono.
- The poverty level is higher in Santa ana at 14%, compared to 10% in Mount pocono.
- The unemployment rate in Mount pocono is higher at 4.8%, compared to 4.1% in Santa ana.
Demographics
Demographics Mount pocono vs Santa ana provide insight into the diversity of the communities to compare.
| Demographic | Mount pocono | Santa ana |
|---|---|---|
| Black | 16 | 1 |
| White | 41 | -5 |
| Asian | 6 | 12 |
| Hispanic | 33 | 78 |
| Two or More Races | 4 | 13 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Mount pocono vs Santa ana
- A higher percentage of Black residents are in Mount pocono at 16% compared to 1% in Santa ana.
- Mount pocono has a higher percentage of White residents at 41% compared to -5% in Santa ana.
- In Santa ana, the Asian population stands at 12%, greater than 6% in Mount pocono.
- Santa ana has a higher percentage of Hispanic residents at 78%, compared to 33% in Mount pocono.
- The percentage of residents identifying as two or more races is higher in Santa ana at 13%, compared to 4% in Mount pocono.
- In Santa ana, the percentage of American Indian residents is higher at 1%, compared to 0% in Mount pocono.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount pocono | Santa ana |
|---|---|---|
| Mental Health Not Good | 16.1% | 16.4% |
| Physical Health Not Good | 11.8% | 13.8% |
| Depression | 20.1% | 17.2% |
| Smoking | 18.1% | 13.4% |
| Binge Drinking | 16.1% | 14.6% |
| Obesity | 34.3% | 31.6% |
| Disability Percentage | 13.0% | 8.0% |
Health Statistics Comparison: Mount pocono vs Santa ana
- In Santa ana, a higher percentage report poor mental health at 16.4% compared to 16.1% in Mount pocono.
- Depression is more prevalent in Mount pocono at 20.1% compared to 17.2% in Santa ana.
- Smoking is more prevalent in Mount pocono at 18.1% compared to 13.4% in Santa ana.
- Binge drinking is more common in Mount pocono at 16.1% compared to 14.6% in Santa ana.
- Obesity rates are higher in Mount pocono at 34.3% compared to 31.6% in Santa ana.
- Disability percentages are higher in Mount pocono at 13.0% compared to 8.0% in Santa ana.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mount pocono | Santa ana |
|---|---|---|
| No Schooling | 3.2% (98) | 5.1% (15,819) |
| High School Diploma | 27.4% (842) | 14.7% (45,332) |
| Less than High School | 18.1% (555) | 42.9% (132,303) |
| Bachelor's Degree and Higher | 15.9% (488) | 11.6% (35,860) |
Education Levels Comparison: Mount pocono vs Santa ana
- In Santa ana, a larger percentage of residents lack formal schooling at 5.1% compared to 3.2% in Mount pocono.
- A higher percentage of residents in Mount pocono hold a high school diploma at 27.4% compared to 14.7% in Santa ana.
- The percentage of residents with less than a high school education is higher in Santa ana at 42.9%, compared to 18.1% in Mount pocono.
- A higher percentage of residents in Mount pocono hold a bachelor's degree or higher at 15.9% compared to 11.6% in Santa ana.
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.