Demographics details for Columbus, IN vs Paupack, PA
Population Overview
Compare main population characteristics in Columbus, IN vs Paupack, PA.
| Data | Columbus | Paupack |
|---|---|---|
| Population | 51,268 | 1,000 |
| Median Age | 35.8 years | 42.0 years |
| Median Income | $75,114 | $60,000 |
| Married Families | 41.0% | 300.0% |
| Poverty Level | 9% | 8% |
| Unemployment Rate | 4.0 | 4.0 |
Population Comparison: Columbus vs Paupack
- In Columbus, the population is higher at 51,268, compared to 1,000 in Paupack.
- The median age in Paupack is higher at 42.0 years, compared to 35.8 years in Columbus.
- Columbus has a higher median income of $75,114 compared to $60,000 in Paupack.
- In Paupack, the percentage of married families is higher at 300.0%, compared to 41.0% in Columbus.
- Columbus has a higher poverty level at 9% compared to 8% in Paupack.
- The unemployment rate is the same in both Columbus and Paupack at 4.0%.
Demographics
Demographics Columbus vs Paupack provide insight into the diversity of the communities to compare.
| Demographic | Columbus | Paupack |
|---|---|---|
| Black | 2 | 2 |
| White | 71 | 90 |
| Asian | 13 | 5 |
| Hispanic | 9 | 3 |
| Two or More Races | 5 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbus vs Paupack
- The percentage of Black residents is the same in both Columbus and Paupack at 2%.
- The percentage of White residents is higher in Paupack at 90% compared to 71% in Columbus.
- The Asian population is larger in Columbus at 13% compared to 5% in Paupack.
- The Hispanic community is larger in Columbus at 9% compared to 3% in Paupack.
- More residents identify as two or more races in Columbus at 5% compared to 0% in Paupack.
- The percentage of American Indian residents is the same in both Columbus and Paupack at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbus | Paupack |
|---|---|---|
| Mental Health Not Good | 15.6% | Data is updating% |
| Physical Health Not Good | 10.3% | Data is updating% |
| Depression | 24.1% | Data is updating% |
| Smoking | 16.3% | Data is updating% |
| Binge Drinking | 16.3% | Data is updating% |
| Obesity | 36.7% | Data is updating% |
| Disability Percentage | 13.0% | Data is updating% |
Health Statistics Comparison: Columbus vs Paupack
- More residents in Columbus report poor mental health at 15.6% compared to 0.0% in Paupack.
- Depression is more prevalent in Columbus at 24.1% compared to 0.0% in Paupack.
- Smoking is more prevalent in Columbus at 16.3% compared to 0.0% in Paupack.
- Binge drinking is more common in Columbus at 16.3% compared to 0.0% in Paupack.
- Obesity rates are higher in Columbus at 36.7% compared to 0.0% in Paupack.
- Disability percentages are higher in Columbus at 13.0% 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 | Columbus | Paupack |
|---|---|---|
| No Schooling | 0.8% (398) | 0.0% (Data is updating) |
| High School Diploma | 14.3% (7,340) | 0.0% (Data is updating) |
| Less than High School | 9.1% (4,677) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 28.1% (14,382) | 0.0% (Data is updating) |
Education Levels Comparison: Columbus vs Paupack
- A higher percentage of residents in Columbus have no formal schooling at 0.8% compared to 0.0% in Paupack.
- A higher percentage of residents in Columbus hold a high school diploma at 14.3% compared to 0.0% in Paupack.
- More residents in Columbus have less than a high school education at 9.1% compared to 0.0% in Paupack.
- A higher percentage of residents in Columbus hold a bachelor's degree or higher at 28.1% 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.