Demographics details for Iuka, MS vs Osage beach, MO
Population Overview
Compare main population characteristics in Iuka, MS vs Osage beach, MO.
| Data | Iuka | Osage beach |
|---|---|---|
| Population | 3,096 | 4,821 |
| Median Age | 37.2 years | 48.0 years |
| Median Income | $43,887 | $51,600 |
| Married Families | 40.0% | 37.0% |
| Poverty Level | 22% | 7% |
| Unemployment Rate | 5.0 | 3.4 |
Population Comparison: Iuka vs Osage beach
- The population in Osage beach is higher at 4,821, compared to 3,096 in Iuka.
- The median age in Osage beach is higher at 48.0 years, compared to 37.2 years in Iuka.
- Osage beach has a higher median income of $51,600, compared to $43,887 in Iuka.
- A higher percentage of married families is found in Iuka at 40.0% compared to 37.0% in Osage beach.
- Iuka has a higher poverty level at 22% compared to 7% in Osage beach.
- The unemployment rate in Iuka is higher at 5.0%, compared to 3.4% in Osage beach.
Demographics
Demographics Iuka vs Osage beach provide insight into the diversity of the communities to compare.
| Demographic | Iuka | Osage beach |
|---|---|---|
| Black | 4 | 3 |
| White | 94 | 85 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 8 |
| Two or More Races | 2 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Iuka vs Osage beach
- A higher percentage of Black residents are in Iuka at 4% compared to 3% in Osage beach.
- Iuka has a higher percentage of White residents at 94% compared to 85% in Osage beach.
- Both Iuka and Osage beach have the same percentage of Asian residents at 0%.
- Osage beach has a higher percentage of Hispanic residents at 8%, compared to 0% in Iuka.
- The percentage of residents identifying as two or more races is higher in Osage beach at 3%, compared to 2% in Iuka.
- In Osage beach, the percentage of American Indian residents is higher at 1%, compared to 0% in Iuka.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Iuka | Osage beach |
|---|---|---|
| Mental Health Not Good | 19.6% | 18.4% |
| Physical Health Not Good | 15.1% | 13.7% |
| Depression | 26.4% | 25.5% |
| Smoking | 25.7% | 22.6% |
| Binge Drinking | 14.6% | 18.8% |
| Obesity | 40.0% | 38.5% |
| Disability Percentage | 19.0% | 15.0% |
Health Statistics Comparison: Iuka vs Osage beach
- More residents in Iuka report poor mental health at 19.6% compared to 18.4% in Osage beach.
- Depression is more prevalent in Iuka at 26.4% compared to 25.5% in Osage beach.
- Smoking is more prevalent in Iuka at 25.7% compared to 22.6% in Osage beach.
- More residents engage in binge drinking in Osage beach at 18.8% compared to 14.6% in Iuka.
- Obesity rates are higher in Iuka at 40.0% compared to 38.5% in Osage beach.
- Disability percentages are higher in Iuka at 19.0% compared to 15.0% in Osage beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Iuka | Osage beach |
|---|---|---|
| No Schooling | 2.4% (75) | 0.0% (Data is updating) |
| High School Diploma | 19.9% (616) | 22.9% (1,105) |
| Less than High School | 21.0% (650) | 22.9% (1,106) |
| Bachelor's Degree and Higher | 11.2% (348) | 16.6% (801) |
Education Levels Comparison: Iuka vs Osage beach
- A higher percentage of residents in Iuka have no formal schooling at 2.4% 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 19.9% in Iuka.
- The percentage of residents with less than a high school education is higher in Osage beach at 22.9%, compared to 21.0% in Iuka.
- In Osage beach, a larger share of residents have a bachelor's degree or higher at 16.6% compared to 11.2% in Iuka.
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.