Demographics details for Butler, WI vs Mount pocono, PA
Population Overview
Compare main population characteristics in Butler, WI vs Mount pocono, PA.
| Data | Butler | Mount pocono |
|---|---|---|
| Population | 1,811 | 3,071 |
| Median Age | 38.0 years | 38.5 years |
| Median Income | $65,000 | $81,127 |
| Married Families | 52.0% | 30.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 3.5 | 4.8 |
Population Comparison: Butler vs Mount pocono
- The population in Mount pocono is higher at 3,071, compared to 1,811 in Butler.
- The median age in Mount pocono is higher at 38.5 years, compared to 38.0 years in Butler.
- Mount pocono has a higher median income of $81,127, compared to $65,000 in Butler.
- A higher percentage of married families is found in Butler at 52.0% compared to 30.0% in Mount pocono.
- The poverty level is higher in Mount pocono at 10%, compared to 5% in Butler.
- Mount pocono has a higher unemployment rate at 4.8% compared to 3.5% in Butler.
Demographics
Demographics Butler vs Mount pocono provide insight into the diversity of the communities to compare.
| Demographic | Butler | Mount pocono |
|---|---|---|
| Black | 2 | 16 |
| White | 88 | 41 |
| Asian | 5 | 6 |
| Hispanic | 3 | 33 |
| Two or More Races | 2 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Butler vs Mount pocono
- In Mount pocono, the percentage of Black residents is higher at 16% compared to 2% in Butler.
- Butler has a higher percentage of White residents at 88% compared to 41% in Mount pocono.
- In Mount pocono, the Asian population stands at 6%, greater than 5% in Butler.
- Mount pocono has a higher percentage of Hispanic residents at 33%, compared to 3% in Butler.
- The percentage of residents identifying as two or more races is higher in Mount pocono at 4%, compared to 2% in Butler.
- The percentage of American Indian residents is the same in both Butler and Mount pocono at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Butler | Mount pocono |
|---|---|---|
| Mental Health Not Good | Data is updating% | 16.1% |
| Physical Health Not Good | Data is updating% | 11.8% |
| Depression | Data is updating% | 20.1% |
| Smoking | Data is updating% | 18.1% |
| Binge Drinking | Data is updating% | 16.1% |
| Obesity | Data is updating% | 34.3% |
| Disability Percentage | Data is updating% | 13.0% |
Health Statistics Comparison: Butler vs Mount pocono
- In Mount pocono, a higher percentage report poor mental health at 16.1% compared to 0.0% in Butler.
- Higher depression rates are seen in Mount pocono at 20.1% versus 0.0% in Butler.
- Mount pocono has a higher smoking rate at 18.1% compared to 0.0% in Butler.
- More residents engage in binge drinking in Mount pocono at 16.1% compared to 0.0% in Butler.
- Mount pocono has higher obesity rates at 34.3% compared to 0.0% in Butler.
- There is a higher percentage of disabled individuals in Mount pocono at 13.0% compared to 0.0% in Butler.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Butler | Mount pocono |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 3.2% (98) |
| High School Diploma | 0.0% (Data is updating) | 27.4% (842) |
| Less than High School | 0.0% (Data is updating) | 18.1% (555) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 15.9% (488) |
Education Levels Comparison: Butler vs Mount pocono
- In Mount pocono, a larger percentage of residents lack formal schooling at 3.2% compared to 0.0% in Butler.
- In Mount pocono, the rate of residents with high school diplomas is higher at 27.4% compared to 0.0% in Butler.
- The percentage of residents with less than a high school education is higher in Mount pocono at 18.1%, compared to 0.0% in Butler.
- In Mount pocono, a larger share of residents have a bachelor's degree or higher at 15.9% compared to 0.0% in Butler.
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.