Demographics details for Osage beach, MO vs Malad city, ID
Population Overview
Compare main population characteristics in Osage beach, MO vs Malad city, ID.
| Data | Osage beach | Malad city |
|---|---|---|
| Population | 4,821 | 2,273 |
| Median Age | 48.0 years | 39.8 years |
| Median Income | $51,600 | $68,594 |
| Married Families | 37.0% | 47.0% |
| Poverty Level | 7% | Data is updating |
| Unemployment Rate | 3.4 | 3.6 |
Population Comparison: Osage beach vs Malad city
- In Osage beach, the population is higher at 4,821, compared to 2,273 in Malad city.
- Residents in Osage beach have a higher median age of 48.0 years compared to 39.8 years in Malad city.
- Malad city has a higher median income of $68,594, compared to $51,600 in Osage beach.
- In Malad city, the percentage of married families is higher at 47.0%, compared to 37.0% in Osage beach.
- Osage beach has a higher poverty level at 7% compared to 0% in Malad city.
- Malad city has a higher unemployment rate at 3.6% compared to 3.4% in Osage beach.
Demographics
Demographics Osage beach vs Malad city provide insight into the diversity of the communities to compare.
| Demographic | Osage beach | Malad city |
|---|---|---|
| Black | 3 | Data is updating |
| White | 85 | 97 |
| Asian | Data is updating | Data is updating |
| Hispanic | 8 | 2 |
| Two or More Races | 3 | Data is updating |
| American Indian | 1 | 1 |
Demographics Comparison: Osage beach vs Malad city
- A higher percentage of Black residents are in Osage beach at 3% compared to 0% in Malad city.
- The percentage of White residents is higher in Malad city at 97% compared to 85% in Osage beach.
- Both Osage beach and Malad city have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Osage beach at 8% compared to 2% in Malad city.
- More residents identify as two or more races in Osage beach at 3% compared to 0% in Malad city.
- The percentage of American Indian residents is the same in both Osage beach and Malad city at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Osage beach | Malad city |
|---|---|---|
| Mental Health Not Good | 18.4% | 16.3% |
| Physical Health Not Good | 13.7% | 11.4% |
| Depression | 25.5% | 22.9% |
| Smoking | 22.6% | 16.7% |
| Binge Drinking | 18.8% | 16.8% |
| Obesity | 38.5% | 32.0% |
| Disability Percentage | 15.0% | 15.0% |
Health Statistics Comparison: Osage beach vs Malad city
- More residents in Osage beach report poor mental health at 18.4% compared to 16.3% in Malad city.
- Depression is more prevalent in Osage beach at 25.5% compared to 22.9% in Malad city.
- Smoking is more prevalent in Osage beach at 22.6% compared to 16.7% in Malad city.
- Binge drinking is more common in Osage beach at 18.8% compared to 16.8% in Malad city.
- Obesity rates are higher in Osage beach at 38.5% compared to 32.0% in Malad city.
- Disability percentages are the same in both Osage beach and Malad city at 15.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Osage beach | Malad city |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (9) |
| High School Diploma | 22.9% (1,105) | 19.5% (443) |
| Less than High School | 22.9% (1,106) | 8.6% (196) |
| Bachelor's Degree and Higher | 16.6% (801) | 14.4% (327) |
Education Levels Comparison: Osage beach vs Malad city
- In Malad city, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Osage beach.
- A higher percentage of residents in Osage beach hold a high school diploma at 22.9% compared to 19.5% in Malad city.
- More residents in Osage beach have less than a high school education at 22.9% compared to 8.6% in Malad city.
- A higher percentage of residents in Osage beach hold a bachelor's degree or higher at 16.6% compared to 14.4% in Malad city.
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.