Demographics details for Pana, IL vs Stephens city, VA
Population Overview
Compare main population characteristics in Pana, IL vs Stephens city, VA.
| Data | Pana | Stephens city |
|---|---|---|
| Population | 5,093 | 2,096 |
| Median Age | 41.7 years | 34.1 years |
| Median Income | $47,763 | $90,588 |
| Married Families | 32.0% | 38.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 5.2 | 3.5 |
Population Comparison: Pana vs Stephens city
- In Pana, the population is higher at 5,093, compared to 2,096 in Stephens city.
- Residents in Pana have a higher median age of 41.7 years compared to 34.1 years in Stephens city.
- Stephens city has a higher median income of $90,588, compared to $47,763 in Pana.
- In Stephens city, the percentage of married families is higher at 38.0%, compared to 32.0% in Pana.
- Pana has a higher poverty level at 10% compared to 5% in Stephens city.
- The unemployment rate in Pana is higher at 5.2%, compared to 3.5% in Stephens city.
Demographics
Demographics Pana vs Stephens city provide insight into the diversity of the communities to compare.
| Demographic | Pana | Stephens city |
|---|---|---|
| Black | Data is updating | 8 |
| White | 93 | 50 |
| Asian | 1 | 1 |
| Hispanic | 3 | 25 |
| Two or More Races | 3 | 16 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pana vs Stephens city
- In Stephens city, the percentage of Black residents is higher at 8% compared to 0% in Pana.
- Pana has a higher percentage of White residents at 93% compared to 50% in Stephens city.
- Both Pana and Stephens city have the same percentage of Asian residents at 1%.
- Stephens city has a higher percentage of Hispanic residents at 25%, compared to 3% in Pana.
- The percentage of residents identifying as two or more races is higher in Stephens city at 16%, compared to 3% in Pana.
- The percentage of American Indian residents is the same in both Pana and Stephens city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pana | Stephens city |
|---|---|---|
| Mental Health Not Good | 17.9% | 15.8% |
| Physical Health Not Good | 12.5% | 9.7% |
| Depression | 22.8% | 23.1% |
| Smoking | 21.3% | 14.7% |
| Binge Drinking | 17.5% | 18.6% |
| Obesity | 39.1% | 32.8% |
| Disability Percentage | 16.0% | 12.0% |
Health Statistics Comparison: Pana vs Stephens city
- More residents in Pana report poor mental health at 17.9% compared to 15.8% in Stephens city.
- Higher depression rates are seen in Stephens city at 23.1% versus 22.8% in Pana.
- Smoking is more prevalent in Pana at 21.3% compared to 14.7% in Stephens city.
- More residents engage in binge drinking in Stephens city at 18.6% compared to 17.5% in Pana.
- Obesity rates are higher in Pana at 39.1% compared to 32.8% in Stephens city.
- Disability percentages are higher in Pana at 16.0% compared to 12.0% in Stephens city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pana | Stephens city |
|---|---|---|
| No Schooling | 0.4% (21) | 0.1% (3) |
| High School Diploma | 30.7% (1,563) | 13.2% (276) |
| Less than High School | 17.1% (870) | 13.5% (282) |
| Bachelor's Degree and Higher | 11.0% (559) | 19.3% (405) |
Education Levels Comparison: Pana vs Stephens city
- A higher percentage of residents in Pana have no formal schooling at 0.4% compared to 0.1% in Stephens city.
- A higher percentage of residents in Pana hold a high school diploma at 30.7% compared to 13.2% in Stephens city.
- More residents in Pana have less than a high school education at 17.1% compared to 13.5% in Stephens city.
- In Stephens city, a larger share of residents have a bachelor's degree or higher at 19.3% 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.