Demographics details for Olympic valley, CA vs Pana, IL
Population Overview
Compare main population characteristics in Olympic valley, CA vs Pana, IL.
| Data | Olympic valley | Pana |
|---|---|---|
| Population | 823 | 5,093 |
| Median Age | 40.0 years | 41.7 years |
| Median Income | $85,900 | $47,763 |
| Married Families | 56.0% | 32.0% |
| Poverty Level | 7% | 10% |
| Unemployment Rate | 3.2 | 5.2 |
Population Comparison: Olympic valley vs Pana
- The population in Pana is higher at 5,093, compared to 823 in Olympic valley.
- The median age in Pana is higher at 41.7 years, compared to 40.0 years in Olympic valley.
- Olympic valley has a higher median income of $85,900 compared to $47,763 in Pana.
- A higher percentage of married families is found in Olympic valley at 56.0% compared to 32.0% in Pana.
- The poverty level is higher in Pana at 10%, compared to 7% in Olympic valley.
- Pana has a higher unemployment rate at 5.2% compared to 3.2% in Olympic valley.
Demographics
Demographics Olympic valley vs Pana provide insight into the diversity of the communities to compare.
| Demographic | Olympic valley | Pana |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 80 | 93 |
| Asian | 5 | 1 |
| Hispanic | 10 | 3 |
| Two or More Races | 5 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Olympic valley vs Pana
- The percentage of Black residents is the same in both Olympic valley and Pana at 0%.
- The percentage of White residents is higher in Pana at 93% compared to 80% in Olympic valley.
- The Asian population is larger in Olympic valley at 5% compared to 1% in Pana.
- The Hispanic community is larger in Olympic valley at 10% compared to 3% in Pana.
- More residents identify as two or more races in Olympic valley at 5% compared to 3% in Pana.
- The percentage of American Indian residents is the same in both Olympic valley and Pana at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Olympic valley | 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: Olympic valley vs Pana
- In Pana, a higher percentage report poor mental health at 17.9% compared to 0.0% in Olympic valley.
- Higher depression rates are seen in Pana at 22.8% versus 0.0% in Olympic valley.
- Pana has a higher smoking rate at 21.3% compared to 0.0% in Olympic valley.
- More residents engage in binge drinking in Pana at 17.5% compared to 0.0% in Olympic valley.
- Pana has higher obesity rates at 39.1% compared to 0.0% in Olympic valley.
- There is a higher percentage of disabled individuals in Pana at 16.0% compared to 0.0% in Olympic valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Olympic valley | 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: Olympic valley vs Pana
- In Pana, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Olympic valley.
- In Pana, the rate of residents with high school diplomas is higher at 30.7% compared to 0.0% in Olympic valley.
- The percentage of residents with less than a high school education is higher in Pana at 17.1%, compared to 0.0% in Olympic valley.
- In Pana, a larger share of residents have a bachelor's degree or higher at 11.0% compared to 0.0% in Olympic valley.
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.