Demographics details for Charlestown, MA vs Pana, IL
Population Overview
Compare main population characteristics in Charlestown, MA vs Pana, IL.
| Data | Charlestown | Pana |
|---|---|---|
| Population | 17,647 | 5,093 |
| Median Age | 34.0 years | 41.7 years |
| Median Income | $90,000 | $47,763 |
| Married Families | 0.25% | 32.0% |
| Poverty Level | Data is updating | 10% |
| Unemployment Rate | 0.03 | 5.2 |
Population Comparison: Charlestown vs Pana
- In Charlestown, the population is higher at 17,647, compared to 5,093 in Pana.
- The median age in Pana is higher at 41.7 years, compared to 34.0 years in Charlestown.
- Charlestown has a higher median income of $90,000 compared to $47,763 in Pana.
- In Pana, the percentage of married families is higher at 32.0%, compared to 0.25% in Charlestown.
- The poverty level is higher in Pana at 10%, compared to 0% in Charlestown.
- Pana has a higher unemployment rate at 5.2% compared to 0.03% in Charlestown.
Demographics
Demographics Charlestown vs Pana provide insight into the diversity of the communities to compare.
| Demographic | Charlestown | Pana |
|---|---|---|
| Black | 8 | Data is updating |
| White | 80 | 93 |
| Asian | 5 | 1 |
| Hispanic | 5 | 3 |
| Two or More Races | 2 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Charlestown vs Pana
- A higher percentage of Black residents are in Charlestown at 8% compared to 0% in Pana.
- The percentage of White residents is higher in Pana at 93% compared to 80% in Charlestown.
- The Asian population is larger in Charlestown at 5% compared to 1% in Pana.
- The Hispanic community is larger in Charlestown at 5% compared to 3% in Pana.
- The percentage of residents identifying as two or more races is higher in Pana at 3%, compared to 2% in Charlestown.
- The percentage of American Indian residents is the same in both Charlestown and Pana at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Charlestown | Pana |
|---|---|---|
| Mental Health Not Good | Data is updating% | 17.9% |
| Physical Health Not Good | Data is updating% | 12.5% |
| Depression | Data is updating% | 22.8% |
| Smoking | Data is updating% | 21.3% |
| Binge Drinking | Data is updating% | 17.5% |
| Obesity | Data is updating% | 39.1% |
| Disability Percentage | Data is updating% | 16.0% |
Health Statistics Comparison: Charlestown vs Pana
- In Pana, a higher percentage report poor mental health at 17.9% compared to 0.0% in Charlestown.
- Higher depression rates are seen in Pana at 22.8% versus 0.0% in Charlestown.
- Pana has a higher smoking rate at 21.3% compared to 0.0% in Charlestown.
- More residents engage in binge drinking in Pana at 17.5% compared to 0.0% in Charlestown.
- Pana has higher obesity rates at 39.1% compared to 0.0% in Charlestown.
- There is a higher percentage of disabled individuals in Pana at 16.0% compared to 0.0% in Charlestown.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Charlestown | Pana |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (21) |
| High School Diploma | 0.0% (Data is updating) | 30.7% (1,563) |
| Less than High School | 0.0% (Data is updating) | 17.1% (870) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 11.0% (559) |
Education Levels Comparison: Charlestown vs Pana
- In Pana, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Charlestown.
- In Pana, the rate of residents with high school diplomas is higher at 30.7% compared to 0.0% in Charlestown.
- The percentage of residents with less than a high school education is higher in Pana at 17.1%, compared to 0.0% in Charlestown.
- In Pana, a larger share of residents have a bachelor's degree or higher at 11.0% compared to 0.0% in Charlestown.
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.