Demographics details for White house, TN vs Mount pocono, PA
Population Overview
Compare main population characteristics in White house, TN vs Mount pocono, PA.
| Data | White house | Mount pocono |
|---|---|---|
| Population | 14,516 | 3,071 |
| Median Age | 36.5 years | 38.5 years |
| Median Income | $85,404 | $81,127 |
| Married Families | 46.0% | 30.0% |
| Poverty Level | 7% | 10% |
| Unemployment Rate | 3.4 | 4.8 |
Population Comparison: White house vs Mount pocono
- In White house, the population is higher at 14,516, compared to 3,071 in Mount pocono.
- The median age in Mount pocono is higher at 38.5 years, compared to 36.5 years in White house.
- White house has a higher median income of $85,404 compared to $81,127 in Mount pocono.
- A higher percentage of married families is found in White house at 46.0% compared to 30.0% in Mount pocono.
- The poverty level is higher in Mount pocono at 10%, compared to 7% in White house.
- Mount pocono has a higher unemployment rate at 4.8% compared to 3.4% in White house.
Demographics
Demographics White house vs Mount pocono provide insight into the diversity of the communities to compare.
| Demographic | White house | Mount pocono |
|---|---|---|
| Black | 2 | 16 |
| White | 87 | 41 |
| Asian | 1 | 6 |
| Hispanic | 4 | 33 |
| Two or More Races | 6 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: White house vs Mount pocono
- In Mount pocono, the percentage of Black residents is higher at 16% compared to 2% in White house.
- White house has a higher percentage of White residents at 87% compared to 41% in Mount pocono.
- In Mount pocono, the Asian population stands at 6%, greater than 1% in White house.
- Mount pocono has a higher percentage of Hispanic residents at 33%, compared to 4% in White house.
- More residents identify as two or more races in White house at 6% compared to 4% in Mount pocono.
- The percentage of American Indian residents is the same in both White house and Mount pocono at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | White house | Mount pocono |
|---|---|---|
| Mental Health Not Good | 17.5% | 16.1% |
| Physical Health Not Good | 11.0% | 11.8% |
| Depression | 27.6% | 20.1% |
| Smoking | 17.7% | 18.1% |
| Binge Drinking | 16.7% | 16.1% |
| Obesity | 32.5% | 34.3% |
| Disability Percentage | 11.0% | 13.0% |
Health Statistics Comparison: White house vs Mount pocono
- More residents in White house report poor mental health at 17.5% compared to 16.1% in Mount pocono.
- Depression is more prevalent in White house at 27.6% compared to 20.1% in Mount pocono.
- Mount pocono has a higher smoking rate at 18.1% compared to 17.7% in White house.
- Binge drinking is more common in White house at 16.7% compared to 16.1% in Mount pocono.
- Mount pocono has higher obesity rates at 34.3% compared to 32.5% in White house.
- There is a higher percentage of disabled individuals in Mount pocono at 13.0% compared to 11.0% in White house.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | White house | Mount pocono |
|---|---|---|
| No Schooling | 0.2% (30) | 3.2% (98) |
| High School Diploma | 18.0% (2,617) | 27.4% (842) |
| Less than High School | 12.4% (1,794) | 18.1% (555) |
| Bachelor's Degree and Higher | 15.4% (2,235) | 15.9% (488) |
Education Levels Comparison: White house vs Mount pocono
- In Mount pocono, a larger percentage of residents lack formal schooling at 3.2% compared to 0.2% in White house.
- In Mount pocono, the rate of residents with high school diplomas is higher at 27.4% compared to 18.0% in White house.
- The percentage of residents with less than a high school education is higher in Mount pocono at 18.1%, compared to 12.4% in White house.
- In Mount pocono, a larger share of residents have a bachelor's degree or higher at 15.9% compared to 15.4% in White house.
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.