Demographics details for Pana, IL vs Montour falls, NY
Population Overview
Compare main population characteristics in Pana, IL vs Montour falls, NY.
| Data | Pana | Montour falls |
|---|---|---|
| Population | 5,093 | 1,583 |
| Median Age | 41.7 years | 44.8 years |
| Median Income | $47,763 | $33,977 |
| Married Families | 32.0% | 39.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 5.2 | 5.2 |
Population Comparison: Pana vs Montour falls
- In Pana, the population is higher at 5,093, compared to 1,583 in Montour falls.
- The median age in Montour falls is higher at 44.8 years, compared to 41.7 years in Pana.
- Pana has a higher median income of $47,763 compared to $33,977 in Montour falls.
- In Montour falls, the percentage of married families is higher at 39.0%, compared to 32.0% in Pana.
- The poverty level is identical in both Pana and Montour falls at 10%.
- The unemployment rate is the same in both Pana and Montour falls at 5.2%.
Demographics
Demographics Pana vs Montour falls provide insight into the diversity of the communities to compare.
| Demographic | Pana | Montour falls |
|---|---|---|
| Black | Data is updating | 2 |
| White | 93 | 92 |
| Asian | 1 | Data is updating |
| Hispanic | 3 | 1 |
| Two or More Races | 3 | 4 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Pana vs Montour falls
- In Montour falls, the percentage of Black residents is higher at 2% compared to 0% in Pana.
- Pana has a higher percentage of White residents at 93% compared to 92% in Montour falls.
- The Asian population is larger in Pana at 1% compared to 0% in Montour falls.
- The Hispanic community is larger in Pana at 3% compared to 1% in Montour falls.
- The percentage of residents identifying as two or more races is higher in Montour falls at 4%, compared to 3% in Pana.
- In Montour falls, the percentage of American Indian residents is higher at 1%, compared to 0% in Pana.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pana | Montour falls |
|---|---|---|
| Mental Health Not Good | 17.9% | 17.3% |
| Physical Health Not Good | 12.5% | 11.3% |
| Depression | 22.8% | 25.1% |
| Smoking | 21.3% | 21.1% |
| Binge Drinking | 17.5% | 19.5% |
| Obesity | 39.1% | 35.2% |
| Disability Percentage | 16.0% | 26.0% |
Health Statistics Comparison: Pana vs Montour falls
- More residents in Pana report poor mental health at 17.9% compared to 17.3% in Montour falls.
- Higher depression rates are seen in Montour falls at 25.1% versus 22.8% in Pana.
- Smoking is more prevalent in Pana at 21.3% compared to 21.1% in Montour falls.
- More residents engage in binge drinking in Montour falls at 19.5% compared to 17.5% in Pana.
- Obesity rates are higher in Pana at 39.1% compared to 35.2% in Montour falls.
- There is a higher percentage of disabled individuals in Montour falls at 26.0% compared to 16.0% in Pana.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pana | Montour falls |
|---|---|---|
| No Schooling | 0.4% (21) | 0.0% (Data is updating) |
| High School Diploma | 30.7% (1,563) | 25.2% (399) |
| Less than High School | 17.1% (870) | 14.5% (230) |
| Bachelor's Degree and Higher | 11.0% (559) | 15.5% (245) |
Education Levels Comparison: Pana vs Montour falls
- A higher percentage of residents in Pana have no formal schooling at 0.4% compared to 0.0% in Montour falls.
- A higher percentage of residents in Pana hold a high school diploma at 30.7% compared to 25.2% in Montour falls.
- More residents in Pana have less than a high school education at 17.1% compared to 14.5% in Montour falls.
- In Montour falls, a larger share of residents have a bachelor's degree or higher at 15.5% compared to 11.0% in Pana.
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.