Demographics details for Paupack, PA vs Parker, CO
Population Overview
Compare main population characteristics in Paupack, PA vs Parker, CO.
Data | Paupack | Parker |
---|---|---|
Population | 1,000 | 61,222 |
Median Age | 42.0 years | 35.7 years |
Median Income | $60,000 | $126,615 |
Married Families | 300.0% | 45.0% |
Poverty Level | 8% | 5% |
Unemployment Rate | 4.0 | 3.9 |
Population Comparison: Paupack vs Parker
- The population in Parker is higher at 61,222, compared to 1,000 in Paupack.
- Residents in Paupack have a higher median age of 42.0 years compared to 35.7 years in Parker.
- Parker has a higher median income of $126,615, compared to $60,000 in Paupack.
- A higher percentage of married families is found in Paupack at 300.0% compared to 45.0% in Parker.
- Paupack has a higher poverty level at 8% compared to 5% in Parker.
- The unemployment rate in Paupack is higher at 4.0%, compared to 3.9% in Parker.
Demographics
Demographics Paupack vs Parker provide insight into the diversity of the communities to compare.
Demographic | Paupack | Parker |
---|---|---|
Black | 2 | 2 |
White | 90 | 73 |
Asian | 5 | 5 |
Hispanic | 3 | 12 |
Two or More Races | Data is updating | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Paupack vs Parker
- The percentage of Black residents is the same in both Paupack and Parker at 2%.
- Paupack has a higher percentage of White residents at 90% compared to 73% in Parker.
- Both Paupack and Parker have the same percentage of Asian residents at 5%.
- Parker has a higher percentage of Hispanic residents at 12%, compared to 3% in Paupack.
- The percentage of residents identifying as two or more races is higher in Parker at 8%, compared to 0% in Paupack.
- The percentage of American Indian residents is the same in both Paupack and Parker at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Paupack | Parker |
---|---|---|
Mental Health Not Good | Data is updating% | 12.9% |
Physical Health Not Good | Data is updating% | 8.1% |
Depression | Data is updating% | 19.2% |
Smoking | Data is updating% | 9.8% |
Binge Drinking | Data is updating% | 18.9% |
Obesity | Data is updating% | 23.7% |
Disability Percentage | Data is updating% | 5.0% |
Health Statistics Comparison: Paupack vs Parker
- In Parker, a higher percentage report poor mental health at 12.9% compared to 0.0% in Paupack.
- Higher depression rates are seen in Parker at 19.2% versus 0.0% in Paupack.
- Parker has a higher smoking rate at 9.8% compared to 0.0% in Paupack.
- More residents engage in binge drinking in Parker at 18.9% compared to 0.0% in Paupack.
- Parker has higher obesity rates at 23.7% compared to 0.0% in Paupack.
- There is a higher percentage of disabled individuals in Parker at 5.0% compared to 0.0% in Paupack.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Paupack | Parker |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.7% (432) |
High School Diploma | 0.0% (Data is updating) | 6.8% (4,185) |
Less than High School | 0.0% (Data is updating) | 4.4% (2,679) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 32.8% (20,066) |
Education Levels Comparison: Paupack vs Parker
- In Parker, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Paupack.
- In Parker, the rate of residents with high school diplomas is higher at 6.8% compared to 0.0% in Paupack.
- The percentage of residents with less than a high school education is higher in Parker at 4.4%, compared to 0.0% in Paupack.
- In Parker, a larger share of residents have a bachelor's degree or higher at 32.8% compared to 0.0% in Paupack.
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.