Demographics details for White cloud, KS vs Pana, IL
Population Overview
Compare main population characteristics in White cloud, KS vs Pana, IL.
| Data | White cloud | Pana |
|---|---|---|
| Population | 116 | 5,093 |
| Median Age | 50.4 years | 41.7 years |
| Median Income | $29,750 | $47,763 |
| Married Families | 32.0% | 32.0% |
| Poverty Level | 14% | 10% |
| Unemployment Rate | 3.5 | 5.2 |
Population Comparison: White cloud vs Pana
- The population in Pana is higher at 5,093, compared to 116 in White cloud.
- Residents in White cloud have a higher median age of 50.4 years compared to 41.7 years in Pana.
- Pana has a higher median income of $47,763, compared to $29,750 in White cloud.
- The percentage of married families is the same in both White cloud and Pana at 32.0%.
- White cloud has a higher poverty level at 14% compared to 10% in Pana.
- Pana has a higher unemployment rate at 5.2% compared to 3.5% in White cloud.
Demographics
Demographics White cloud vs Pana provide insight into the diversity of the communities to compare.
| Demographic | White cloud | Pana |
|---|---|---|
| Black | 2 | Data is updating |
| White | 86 | 93 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 3 |
| Two or More Races | 5 | 3 |
| American Indian | 7 | Data is updating |
Demographics Comparison: White cloud vs Pana
- A higher percentage of Black residents are in White cloud at 2% compared to 0% in Pana.
- The percentage of White residents is higher in Pana at 93% compared to 86% in White cloud.
- In Pana, the Asian population stands at 1%, greater than 0% in White cloud.
- Pana has a higher percentage of Hispanic residents at 3%, compared to 0% in White cloud.
- More residents identify as two or more races in White cloud at 5% compared to 3% in Pana.
- A greater percentage of American Indian residents live in White cloud at 7% compared to 0% in Pana.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | White cloud | Pana |
|---|---|---|
| Mental Health Not Good | 17.1% | 17.9% |
| Physical Health Not Good | 11.4% | 12.5% |
| Depression | 21.5% | 22.8% |
| Smoking | 20.7% | 21.3% |
| Binge Drinking | 18.5% | 17.5% |
| Obesity | 41.7% | 39.1% |
| Disability Percentage | 32.0% | 16.0% |
Health Statistics Comparison: White cloud vs Pana
- In Pana, a higher percentage report poor mental health at 17.9% compared to 17.1% in White cloud.
- Higher depression rates are seen in Pana at 22.8% versus 21.5% in White cloud.
- Pana has a higher smoking rate at 21.3% compared to 20.7% in White cloud.
- Binge drinking is more common in White cloud at 18.5% compared to 17.5% in Pana.
- Obesity rates are higher in White cloud at 41.7% compared to 39.1% in Pana.
- Disability percentages are higher in White cloud at 32.0% 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 | White cloud | Pana |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (21) |
| High School Diploma | 10.3% (12) | 30.7% (1,563) |
| Less than High School | 20.7% (24) | 17.1% (870) |
| Bachelor's Degree and Higher | 6.9% (8) | 11.0% (559) |
Education Levels Comparison: White cloud vs Pana
- In Pana, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in White cloud.
- In Pana, the rate of residents with high school diplomas is higher at 30.7% compared to 10.3% in White cloud.
- More residents in White cloud have less than a high school education at 20.7% compared to 17.1% in Pana.
- In Pana, a larger share of residents have a bachelor's degree or higher at 11.0% compared to 6.9% in White cloud.
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.