Demographics details for Osage beach, MO vs Winona, MS
Population Overview
Compare main population characteristics in Osage beach, MO vs Winona, MS.
| Data | Osage beach | Winona |
|---|---|---|
| Population | 4,821 | 4,159 |
| Median Age | 48.0 years | 33.7 years |
| Median Income | $51,600 | $26,250 |
| Married Families | 37.0% | 21.0% |
| Poverty Level | 7% | 24% |
| Unemployment Rate | 3.4 | 3.6 |
Population Comparison: Osage beach vs Winona
- In Osage beach, the population is higher at 4,821, compared to 4,159 in Winona.
- Residents in Osage beach have a higher median age of 48.0 years compared to 33.7 years in Winona.
- Osage beach has a higher median income of $51,600 compared to $26,250 in Winona.
- A higher percentage of married families is found in Osage beach at 37.0% compared to 21.0% in Winona.
- The poverty level is higher in Winona at 24%, compared to 7% in Osage beach.
- Winona has a higher unemployment rate at 3.6% compared to 3.4% in Osage beach.
Demographics
Demographics Osage beach vs Winona provide insight into the diversity of the communities to compare.
| Demographic | Osage beach | Winona |
|---|---|---|
| Black | 3 | 62 |
| White | 85 | 38 |
| Asian | Data is updating | Data is updating |
| Hispanic | 8 | Data is updating |
| Two or More Races | 3 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Osage beach vs Winona
- In Winona, the percentage of Black residents is higher at 62% compared to 3% in Osage beach.
- Osage beach has a higher percentage of White residents at 85% compared to 38% in Winona.
- Both Osage beach and Winona have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Osage beach at 8% compared to 0% in Winona.
- More residents identify as two or more races in Osage beach at 3% compared to 0% in Winona.
- A greater percentage of American Indian residents live in Osage beach at 1% compared to 0% in Winona.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Osage beach | Winona |
|---|---|---|
| Mental Health Not Good | 18.4% | 19.3% |
| Physical Health Not Good | 13.7% | 15.0% |
| Depression | 25.5% | 22.3% |
| Smoking | 22.6% | 24.8% |
| Binge Drinking | 18.8% | 11.8% |
| Obesity | 38.5% | 46.4% |
| Disability Percentage | 15.0% | 25.0% |
Health Statistics Comparison: Osage beach vs Winona
- In Winona, a higher percentage report poor mental health at 19.3% compared to 18.4% in Osage beach.
- Depression is more prevalent in Osage beach at 25.5% compared to 22.3% in Winona.
- Winona has a higher smoking rate at 24.8% compared to 22.6% in Osage beach.
- Binge drinking is more common in Osage beach at 18.8% compared to 11.8% in Winona.
- Winona has higher obesity rates at 46.4% compared to 38.5% in Osage beach.
- There is a higher percentage of disabled individuals in Winona at 25.0% 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 | Osage beach | Winona |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.1% (87) |
| High School Diploma | 22.9% (1,105) | 11.4% (473) |
| Less than High School | 22.9% (1,106) | 28.5% (1,186) |
| Bachelor's Degree and Higher | 16.6% (801) | 9.3% (388) |
Education Levels Comparison: Osage beach vs Winona
- In Winona, a larger percentage of residents lack formal schooling at 2.1% 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 11.4% in Winona.
- The percentage of residents with less than a high school education is higher in Winona at 28.5%, compared to 22.9% in Osage beach.
- A higher percentage of residents in Osage beach hold a bachelor's degree or higher at 16.6% compared to 9.3% in Winona.
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.