Demographics details for Pella, IA vs Osage beach, MO
Population Overview
Compare main population characteristics in Pella, IA vs Osage beach, MO.
| Data | Pella | Osage beach |
|---|---|---|
| Population | 10,744 | 4,821 |
| Median Age | 35.5 years | 48.0 years |
| Median Income | $86,025 | $51,600 |
| Married Families | 44.0% | 37.0% |
| Poverty Level | 7% | 7% |
| Unemployment Rate | 2.5 | 3.4 |
Population Comparison: Pella vs Osage beach
- In Pella, the population is higher at 10,744, compared to 4,821 in Osage beach.
- The median age in Osage beach is higher at 48.0 years, compared to 35.5 years in Pella.
- Pella has a higher median income of $86,025 compared to $51,600 in Osage beach.
- A higher percentage of married families is found in Pella at 44.0% compared to 37.0% in Osage beach.
- The poverty level is identical in both Pella and Osage beach at 7%.
- Osage beach has a higher unemployment rate at 3.4% compared to 2.5% in Pella.
Demographics
Demographics Pella vs Osage beach provide insight into the diversity of the communities to compare.
| Demographic | Pella | Osage beach |
|---|---|---|
| Black | 1 | 3 |
| White | 93 | 85 |
| Asian | 1 | Data is updating |
| Hispanic | 3 | 8 |
| Two or More Races | 2 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Pella vs Osage beach
- In Osage beach, the percentage of Black residents is higher at 3% compared to 1% in Pella.
- Pella has a higher percentage of White residents at 93% compared to 85% in Osage beach.
- The Asian population is larger in Pella at 1% compared to 0% in Osage beach.
- Osage beach has a higher percentage of Hispanic residents at 8%, compared to 3% in Pella.
- The percentage of residents identifying as two or more races is higher in Osage beach at 3%, compared to 2% in Pella.
- In Osage beach, the percentage of American Indian residents is higher at 1%, compared to 0% in Pella.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pella | Osage beach |
|---|---|---|
| Mental Health Not Good | 14.4% | 18.4% |
| Physical Health Not Good | 8.5% | 13.7% |
| Depression | 18.6% | 25.5% |
| Smoking | 14.6% | 22.6% |
| Binge Drinking | 22.4% | 18.8% |
| Obesity | 35.5% | 38.5% |
| Disability Percentage | 11.0% | 15.0% |
Health Statistics Comparison: Pella vs Osage beach
- In Osage beach, a higher percentage report poor mental health at 18.4% compared to 14.4% in Pella.
- Higher depression rates are seen in Osage beach at 25.5% versus 18.6% in Pella.
- Osage beach has a higher smoking rate at 22.6% compared to 14.6% in Pella.
- Binge drinking is more common in Pella at 22.4% compared to 18.8% in Osage beach.
- Osage beach has higher obesity rates at 38.5% compared to 35.5% in Pella.
- There is a higher percentage of disabled individuals in Osage beach at 15.0% compared to 11.0% in Pella.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pella | Osage beach |
|---|---|---|
| No Schooling | 0.2% (22) | 0.0% (Data is updating) |
| High School Diploma | 13.3% (1,433) | 22.9% (1,105) |
| Less than High School | 6.0% (646) | 22.9% (1,106) |
| Bachelor's Degree and Higher | 28.3% (3,036) | 16.6% (801) |
Education Levels Comparison: Pella vs Osage beach
- A higher percentage of residents in Pella have no formal schooling at 0.2% compared to 0.0% in Osage beach.
- In Osage beach, the rate of residents with high school diplomas is higher at 22.9% compared to 13.3% in Pella.
- The percentage of residents with less than a high school education is higher in Osage beach at 22.9%, compared to 6.0% in Pella.
- A higher percentage of residents in Pella hold a bachelor's degree or higher at 28.3% compared to 16.6% in Osage beach.
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.