Demographics details for Wilkinson, IN vs Mount pocono, PA
Population Overview
Compare main population characteristics in Wilkinson, IN vs Mount pocono, PA.
Data | Wilkinson | Mount pocono |
---|---|---|
Population | 408 | 3,071 |
Median Age | 33.5 years | 38.5 years |
Median Income | $61,146 | $81,127 |
Married Families | 36.0% | 30.0% |
Poverty Level | 7% | 10% |
Unemployment Rate | 3.5 | 4.8 |
Population Comparison: Wilkinson vs Mount pocono
- The population in Mount pocono is higher at 3,071, compared to 408 in Wilkinson.
- The median age in Mount pocono is higher at 38.5 years, compared to 33.5 years in Wilkinson.
- Mount pocono has a higher median income of $81,127, compared to $61,146 in Wilkinson.
- A higher percentage of married families is found in Wilkinson at 36.0% compared to 30.0% in Mount pocono.
- The poverty level is higher in Mount pocono at 10%, compared to 7% in Wilkinson.
- Mount pocono has a higher unemployment rate at 4.8% compared to 3.5% in Wilkinson.
Demographics
Demographics Wilkinson vs Mount pocono provide insight into the diversity of the communities to compare.
Demographic | Wilkinson | Mount pocono |
---|---|---|
Black | Data is updating | 16 |
White | 96 | 41 |
Asian | Data is updating | 6 |
Hispanic | 1 | 33 |
Two or More Races | 3 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Wilkinson vs Mount pocono
- In Mount pocono, the percentage of Black residents is higher at 16% compared to 0% in Wilkinson.
- Wilkinson has a higher percentage of White residents at 96% compared to 41% in Mount pocono.
- In Mount pocono, the Asian population stands at 6%, greater than 0% in Wilkinson.
- Mount pocono has a higher percentage of Hispanic residents at 33%, compared to 1% in Wilkinson.
- The percentage of residents identifying as two or more races is higher in Mount pocono at 4%, compared to 3% in Wilkinson.
- The percentage of American Indian residents is the same in both Wilkinson and Mount pocono at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Wilkinson | Mount pocono |
---|---|---|
Mental Health Not Good | 16.8% | 16.1% |
Physical Health Not Good | 11.4% | 11.8% |
Depression | 26.6% | 20.1% |
Smoking | 19.0% | 18.1% |
Binge Drinking | 16.8% | 16.1% |
Obesity | 34.1% | 34.3% |
Disability Percentage | 10.0% | 13.0% |
Health Statistics Comparison: Wilkinson vs Mount pocono
- More residents in Wilkinson report poor mental health at 16.8% compared to 16.1% in Mount pocono.
- Depression is more prevalent in Wilkinson at 26.6% compared to 20.1% in Mount pocono.
- Smoking is more prevalent in Wilkinson at 19.0% compared to 18.1% in Mount pocono.
- Binge drinking is more common in Wilkinson at 16.8% compared to 16.1% in Mount pocono.
- Mount pocono has higher obesity rates at 34.3% compared to 34.1% in Wilkinson.
- There is a higher percentage of disabled individuals in Mount pocono at 13.0% compared to 10.0% in Wilkinson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Wilkinson | Mount pocono |
---|---|---|
No Schooling | 0.0% (Data is updating) | 3.2% (98) |
High School Diploma | 30.4% (124) | 27.4% (842) |
Less than High School | 8.8% (36) | 18.1% (555) |
Bachelor's Degree and Higher | 8.8% (36) | 15.9% (488) |
Education Levels Comparison: Wilkinson vs Mount pocono
- In Mount pocono, a larger percentage of residents lack formal schooling at 3.2% compared to 0.0% in Wilkinson.
- A higher percentage of residents in Wilkinson hold a high school diploma at 30.4% compared to 27.4% in Mount pocono.
- The percentage of residents with less than a high school education is higher in Mount pocono at 18.1%, compared to 8.8% in Wilkinson.
- In Mount pocono, a larger share of residents have a bachelor's degree or higher at 15.9% compared to 8.8% in Wilkinson.
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.