Demographics details for Indianola, IA vs Osage beach, MO
Population Overview
Compare main population characteristics in Indianola, IA vs Osage beach, MO.
| Data | Indianola | Osage beach |
|---|---|---|
| Population | 16,069 | 4,821 |
| Median Age | 34.7 years | 48.0 years |
| Median Income | $73,534 | $51,600 |
| Married Families | 37.0% | 37.0% |
| Poverty Level | 7% | 7% |
| Unemployment Rate | 3.2 | 3.4 |
Population Comparison: Indianola vs Osage beach
- In Indianola, the population is higher at 16,069, compared to 4,821 in Osage beach.
- The median age in Osage beach is higher at 48.0 years, compared to 34.7 years in Indianola.
- Indianola has a higher median income of $73,534 compared to $51,600 in Osage beach.
- The percentage of married families is the same in both Indianola and Osage beach at 37.0%.
- The poverty level is identical in both Indianola and Osage beach at 7%.
- Osage beach has a higher unemployment rate at 3.4% compared to 3.2% in Indianola.
Demographics
Demographics Indianola vs Osage beach provide insight into the diversity of the communities to compare.
| Demographic | Indianola | Osage beach |
|---|---|---|
| Black | 1 | 3 |
| White | 91 | 85 |
| Asian | 2 | Data is updating |
| Hispanic | 2 | 8 |
| Two or More Races | 4 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Indianola vs Osage beach
- In Osage beach, the percentage of Black residents is higher at 3% compared to 1% in Indianola.
- Indianola has a higher percentage of White residents at 91% compared to 85% in Osage beach.
- The Asian population is larger in Indianola at 2% compared to 0% in Osage beach.
- Osage beach has a higher percentage of Hispanic residents at 8%, compared to 2% in Indianola.
- More residents identify as two or more races in Indianola at 4% compared to 3% in Osage beach.
- In Osage beach, the percentage of American Indian residents is higher at 1%, compared to 0% in Indianola.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Indianola | Osage beach |
|---|---|---|
| Mental Health Not Good | 15.7% | 18.4% |
| Physical Health Not Good | 9.7% | 13.7% |
| Depression | 19.0% | 25.5% |
| Smoking | 16.5% | 22.6% |
| Binge Drinking | 21.4% | 18.8% |
| Obesity | 39.2% | 38.5% |
| Disability Percentage | 12.0% | 15.0% |
Health Statistics Comparison: Indianola vs Osage beach
- In Osage beach, a higher percentage report poor mental health at 18.4% compared to 15.7% in Indianola.
- Higher depression rates are seen in Osage beach at 25.5% versus 19.0% in Indianola.
- Osage beach has a higher smoking rate at 22.6% compared to 16.5% in Indianola.
- Binge drinking is more common in Indianola at 21.4% compared to 18.8% in Osage beach.
- Obesity rates are higher in Indianola at 39.2% compared to 38.5% in Osage beach.
- There is a higher percentage of disabled individuals in Osage beach at 15.0% compared to 12.0% in Indianola.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Indianola | Osage beach |
|---|---|---|
| No Schooling | 0.3% (43) | 0.0% (Data is updating) |
| High School Diploma | 14.5% (2,326) | 22.9% (1,105) |
| Less than High School | 3.5% (566) | 22.9% (1,106) |
| Bachelor's Degree and Higher | 20.0% (3,217) | 16.6% (801) |
Education Levels Comparison: Indianola vs Osage beach
- A higher percentage of residents in Indianola have no formal schooling at 0.3% 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 14.5% in Indianola.
- The percentage of residents with less than a high school education is higher in Osage beach at 22.9%, compared to 3.5% in Indianola.
- A higher percentage of residents in Indianola hold a bachelor's degree or higher at 20.0% 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.