Demographics details for Mount pocono, PA vs Manteca, CA
Population Overview
Compare main population characteristics in Mount pocono, PA vs Manteca, CA.
| Data | Mount pocono | Manteca |
|---|---|---|
| Population | 3,071 | 86,928 |
| Median Age | 38.5 years | 37.0 years |
| Median Income | $81,127 | $89,966 |
| Married Families | 30.0% | 38.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.8 | 5.7 |
Population Comparison: Mount pocono vs Manteca
- The population in Manteca is higher at 86,928, compared to 3,071 in Mount pocono.
- Residents in Mount pocono have a higher median age of 38.5 years compared to 37.0 years in Manteca.
- Manteca has a higher median income of $89,966, compared to $81,127 in Mount pocono.
- In Manteca, the percentage of married families is higher at 38.0%, compared to 30.0% in Mount pocono.
- The poverty level is identical in both Mount pocono and Manteca at 10%.
- Manteca has a higher unemployment rate at 5.7% compared to 4.8% in Mount pocono.
Demographics
Demographics Mount pocono vs Manteca provide insight into the diversity of the communities to compare.
| Demographic | Mount pocono | Manteca |
|---|---|---|
| Black | 16 | 3 |
| White | 41 | 26 |
| Asian | 6 | 14 |
| Hispanic | 33 | 39 |
| Two or More Races | 4 | 17 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Mount pocono vs Manteca
- A higher percentage of Black residents are in Mount pocono at 16% compared to 3% in Manteca.
- Mount pocono has a higher percentage of White residents at 41% compared to 26% in Manteca.
- In Manteca, the Asian population stands at 14%, greater than 6% in Mount pocono.
- Manteca has a higher percentage of Hispanic residents at 39%, compared to 33% in Mount pocono.
- The percentage of residents identifying as two or more races is higher in Manteca at 17%, compared to 4% in Mount pocono.
- In Manteca, 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 | Manteca |
|---|---|---|
| Mental Health Not Good | 16.1% | 16.6% |
| Physical Health Not Good | 11.8% | 11.8% |
| Depression | 20.1% | 18.2% |
| Smoking | 18.1% | 13.8% |
| Binge Drinking | 16.1% | 16.6% |
| Obesity | 34.3% | 34.1% |
| Disability Percentage | 13.0% | 12.0% |
Health Statistics Comparison: Mount pocono vs Manteca
- In Manteca, a higher percentage report poor mental health at 16.6% compared to 16.1% in Mount pocono.
- Depression is more prevalent in Mount pocono at 20.1% compared to 18.2% in Manteca.
- Smoking is more prevalent in Mount pocono at 18.1% compared to 13.8% in Manteca.
- More residents engage in binge drinking in Manteca at 16.6% compared to 16.1% in Mount pocono.
- Obesity rates are higher in Mount pocono at 34.3% compared to 34.1% in Manteca.
- Disability percentages are higher in Mount pocono at 13.0% compared to 12.0% in Manteca.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mount pocono | Manteca |
|---|---|---|
| No Schooling | 3.2% (98) | 1.7% (1,490) |
| High School Diploma | 27.4% (842) | 17.0% (14,775) |
| Less than High School | 18.1% (555) | 16.5% (14,304) |
| Bachelor's Degree and Higher | 15.9% (488) | 12.4% (10,753) |
Education Levels Comparison: Mount pocono vs Manteca
- A higher percentage of residents in Mount pocono have no formal schooling at 3.2% compared to 1.7% in Manteca.
- A higher percentage of residents in Mount pocono hold a high school diploma at 27.4% compared to 17.0% in Manteca.
- More residents in Mount pocono have less than a high school education at 18.1% compared to 16.5% in Manteca.
- A higher percentage of residents in Mount pocono hold a bachelor's degree or higher at 15.9% compared to 12.4% in Manteca.
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.