Demographics details for Waverly, TN vs Mount pocono, PA
Population Overview
Compare main population characteristics in Waverly, TN vs Mount pocono, PA.
| Data | Waverly | Mount pocono |
|---|---|---|
| Population | 4,297 | 3,071 |
| Median Age | 46.7 years | 38.5 years |
| Median Income | $43,750 | $81,127 |
| Married Families | 35.0% | 30.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 4.5 | 4.8 |
Population Comparison: Waverly vs Mount pocono
- In Waverly, the population is higher at 4,297, compared to 3,071 in Mount pocono.
- Residents in Waverly have a higher median age of 46.7 years compared to 38.5 years in Mount pocono.
- Mount pocono has a higher median income of $81,127, compared to $43,750 in Waverly.
- A higher percentage of married families is found in Waverly at 35.0% compared to 30.0% in Mount pocono.
- Waverly has a higher poverty level at 12% compared to 10% in Mount pocono.
- Mount pocono has a higher unemployment rate at 4.8% compared to 4.5% in Waverly.
Demographics
Demographics Waverly vs Mount pocono provide insight into the diversity of the communities to compare.
| Demographic | Waverly | Mount pocono |
|---|---|---|
| Black | 2 | 16 |
| White | 91 | 41 |
| Asian | Data is updating | 6 |
| Hispanic | 2 | 33 |
| Two or More Races | 5 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Waverly vs Mount pocono
- In Mount pocono, the percentage of Black residents is higher at 16% compared to 2% in Waverly.
- Waverly has a higher percentage of White residents at 91% compared to 41% in Mount pocono.
- In Mount pocono, the Asian population stands at 6%, greater than 0% in Waverly.
- Mount pocono has a higher percentage of Hispanic residents at 33%, compared to 2% in Waverly.
- More residents identify as two or more races in Waverly at 5% compared to 4% in Mount pocono.
- The percentage of American Indian residents is the same in both Waverly and Mount pocono at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waverly | Mount pocono |
|---|---|---|
| Mental Health Not Good | 19.9% | 16.1% |
| Physical Health Not Good | 13.9% | 11.8% |
| Depression | 28.8% | 20.1% |
| Smoking | 23.6% | 18.1% |
| Binge Drinking | 15.6% | 16.1% |
| Obesity | 37.8% | 34.3% |
| Disability Percentage | 19.0% | 13.0% |
Health Statistics Comparison: Waverly vs Mount pocono
- More residents in Waverly report poor mental health at 19.9% compared to 16.1% in Mount pocono.
- Depression is more prevalent in Waverly at 28.8% compared to 20.1% in Mount pocono.
- Smoking is more prevalent in Waverly at 23.6% compared to 18.1% in Mount pocono.
- More residents engage in binge drinking in Mount pocono at 16.1% compared to 15.6% in Waverly.
- Obesity rates are higher in Waverly at 37.8% compared to 34.3% in Mount pocono.
- Disability percentages are higher in Waverly at 19.0% compared to 13.0% in Mount pocono.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Waverly | Mount pocono |
|---|---|---|
| No Schooling | 1.0% (41) | 3.2% (98) |
| High School Diploma | 18.4% (792) | 27.4% (842) |
| Less than High School | 21.9% (943) | 18.1% (555) |
| Bachelor's Degree and Higher | 16.5% (709) | 15.9% (488) |
Education Levels Comparison: Waverly vs Mount pocono
- In Mount pocono, a larger percentage of residents lack formal schooling at 3.2% compared to 1.0% in Waverly.
- In Mount pocono, the rate of residents with high school diplomas is higher at 27.4% compared to 18.4% in Waverly.
- More residents in Waverly have less than a high school education at 21.9% compared to 18.1% in Mount pocono.
- A higher percentage of residents in Waverly hold a bachelor's degree or higher at 16.5% 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.