Demographics details for Pittsfield, NH vs Pana, IL
Population Overview
Compare main population characteristics in Pittsfield, NH vs Pana, IL.
| Data | Pittsfield | Pana |
|---|---|---|
| Population | 4,140 | 5,093 |
| Median Age | 42.0 years | 41.7 years |
| Median Income | $64,600 | $47,763 |
| Married Families | 33.0% | 32.0% |
| Poverty Level | 8% | 10% |
| Unemployment Rate | 2.6 | 5.2 |
Population Comparison: Pittsfield vs Pana
- The population in Pana is higher at 5,093, compared to 4,140 in Pittsfield.
- Residents in Pittsfield have a higher median age of 42.0 years compared to 41.7 years in Pana.
- Pittsfield has a higher median income of $64,600 compared to $47,763 in Pana.
- A higher percentage of married families is found in Pittsfield at 33.0% compared to 32.0% in Pana.
- The poverty level is higher in Pana at 10%, compared to 8% in Pittsfield.
- Pana has a higher unemployment rate at 5.2% compared to 2.6% in Pittsfield.
Demographics
Demographics Pittsfield vs Pana provide insight into the diversity of the communities to compare.
| Demographic | Pittsfield | Pana |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 100 | 93 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 3 |
| Two or More Races | Data is updating | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pittsfield vs Pana
- The percentage of Black residents is the same in both Pittsfield and Pana at 0%.
- Pittsfield has a higher percentage of White residents at 100% compared to 93% in Pana.
- In Pana, the Asian population stands at 1%, greater than 0% in Pittsfield.
- Pana has a higher percentage of Hispanic residents at 3%, compared to 0% in Pittsfield.
- The percentage of residents identifying as two or more races is higher in Pana at 3%, compared to 0% in Pittsfield.
- The percentage of American Indian residents is the same in both Pittsfield and Pana at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pittsfield | 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: Pittsfield vs Pana
- In Pana, a higher percentage report poor mental health at 17.9% compared to 0.0% in Pittsfield.
- Higher depression rates are seen in Pana at 22.8% versus 0.0% in Pittsfield.
- Pana has a higher smoking rate at 21.3% compared to 0.0% in Pittsfield.
- More residents engage in binge drinking in Pana at 17.5% compared to 0.0% in Pittsfield.
- Pana has higher obesity rates at 39.1% compared to 0.0% in Pittsfield.
- There is a higher percentage of disabled individuals in Pana at 16.0% compared to 0.0% in Pittsfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pittsfield | 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: Pittsfield vs Pana
- In Pana, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Pittsfield.
- In Pana, the rate of residents with high school diplomas is higher at 30.7% compared to 0.0% in Pittsfield.
- The percentage of residents with less than a high school education is higher in Pana at 17.1%, compared to 0.0% in Pittsfield.
- In Pana, a larger share of residents have a bachelor's degree or higher at 11.0% compared to 0.0% in Pittsfield.
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.