Demographics details for Maricopa, AZ vs Mount pocono, PA
Population Overview
Compare main population characteristics in Maricopa, AZ vs Mount pocono, PA.
| Data | Maricopa | Mount pocono |
|---|---|---|
| Population | 66,290 | 3,071 |
| Median Age | 35.7 years | 38.5 years |
| Median Income | $88,795 | $81,127 |
| Married Families | 38.0% | 30.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.0 | 4.8 |
Population Comparison: Maricopa vs Mount pocono
- In Maricopa, the population is higher at 66,290, compared to 3,071 in Mount pocono.
- The median age in Mount pocono is higher at 38.5 years, compared to 35.7 years in Maricopa.
- Maricopa has a higher median income of $88,795 compared to $81,127 in Mount pocono.
- A higher percentage of married families is found in Maricopa at 38.0% compared to 30.0% in Mount pocono.
- The poverty level is identical in both Maricopa and Mount pocono at 10%.
- Mount pocono has a higher unemployment rate at 4.8% compared to 4.0% in Maricopa.
Demographics
Demographics Maricopa vs Mount pocono provide insight into the diversity of the communities to compare.
| Demographic | Maricopa | Mount pocono |
|---|---|---|
| Black | 11 | 16 |
| White | 42 | 41 |
| Asian | 2 | 6 |
| Hispanic | 29 | 33 |
| Two or More Races | 14 | 4 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Maricopa vs Mount pocono
- In Mount pocono, the percentage of Black residents is higher at 16% compared to 11% in Maricopa.
- Maricopa has a higher percentage of White residents at 42% compared to 41% in Mount pocono.
- In Mount pocono, the Asian population stands at 6%, greater than 2% in Maricopa.
- Mount pocono has a higher percentage of Hispanic residents at 33%, compared to 29% in Maricopa.
- More residents identify as two or more races in Maricopa at 14% compared to 4% in Mount pocono.
- A greater percentage of American Indian residents live in Maricopa at 2% compared to 0% in Mount pocono.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Maricopa | Mount pocono |
|---|---|---|
| Mental Health Not Good | 15.6% | 16.1% |
| Physical Health Not Good | 10.8% | 11.8% |
| Depression | 18.6% | 20.1% |
| Smoking | 15.6% | 18.1% |
| Binge Drinking | 18.4% | 16.1% |
| Obesity | 35.4% | 34.3% |
| Disability Percentage | 9.0% | 13.0% |
Health Statistics Comparison: Maricopa vs Mount pocono
- In Mount pocono, a higher percentage report poor mental health at 16.1% compared to 15.6% in Maricopa.
- Higher depression rates are seen in Mount pocono at 20.1% versus 18.6% in Maricopa.
- Mount pocono has a higher smoking rate at 18.1% compared to 15.6% in Maricopa.
- Binge drinking is more common in Maricopa at 18.4% compared to 16.1% in Mount pocono.
- Obesity rates are higher in Maricopa at 35.4% compared to 34.3% in Mount pocono.
- There is a higher percentage of disabled individuals in Mount pocono at 13.0% compared to 9.0% in Maricopa.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Maricopa | Mount pocono |
|---|---|---|
| No Schooling | 0.4% (254) | 3.2% (98) |
| High School Diploma | 15.3% (10,156) | 27.4% (842) |
| Less than High School | 8.2% (5,413) | 18.1% (555) |
| Bachelor's Degree and Higher | 13.4% (8,850) | 15.9% (488) |
Education Levels Comparison: Maricopa vs Mount pocono
- In Mount pocono, a larger percentage of residents lack formal schooling at 3.2% compared to 0.4% in Maricopa.
- In Mount pocono, the rate of residents with high school diplomas is higher at 27.4% compared to 15.3% in Maricopa.
- The percentage of residents with less than a high school education is higher in Mount pocono at 18.1%, compared to 8.2% in Maricopa.
- In Mount pocono, a larger share of residents have a bachelor's degree or higher at 15.9% compared to 13.4% in Maricopa.
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.