Demographics details for Valdosta, GA vs Osage beach, MO
Population Overview
Compare main population characteristics in Valdosta, GA vs Osage beach, MO.
| Data | Valdosta | Osage beach |
|---|---|---|
| Population | 55,074 | 4,821 |
| Median Age | 29.2 years | 48.0 years |
| Median Income | $41,365 | $51,600 |
| Married Families | 25.0% | 37.0% |
| Poverty Level | 19% | 7% |
| Unemployment Rate | 5.1 | 3.4 |
Population Comparison: Valdosta vs Osage beach
- In Valdosta, the population is higher at 55,074, compared to 4,821 in Osage beach.
- The median age in Osage beach is higher at 48.0 years, compared to 29.2 years in Valdosta.
- Osage beach has a higher median income of $51,600, compared to $41,365 in Valdosta.
- In Osage beach, the percentage of married families is higher at 37.0%, compared to 25.0% in Valdosta.
- Valdosta has a higher poverty level at 19% compared to 7% in Osage beach.
- The unemployment rate in Valdosta is higher at 5.1%, compared to 3.4% in Osage beach.
Demographics
Demographics Valdosta vs Osage beach provide insight into the diversity of the communities to compare.
| Demographic | Valdosta | Osage beach |
|---|---|---|
| Black | 56 | 3 |
| White | 34 | 85 |
| Asian | 1 | Data is updating |
| Hispanic | 5 | 8 |
| Two or More Races | 4 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Valdosta vs Osage beach
- A higher percentage of Black residents are in Valdosta at 56% compared to 3% in Osage beach.
- The percentage of White residents is higher in Osage beach at 85% compared to 34% in Valdosta.
- The Asian population is larger in Valdosta at 1% compared to 0% in Osage beach.
- Osage beach has a higher percentage of Hispanic residents at 8%, compared to 5% in Valdosta.
- More residents identify as two or more races in Valdosta 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 Valdosta.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Valdosta | Osage beach |
|---|---|---|
| Mental Health Not Good | 19.7% | 18.4% |
| Physical Health Not Good | 15.4% | 13.7% |
| Depression | 22.2% | 25.5% |
| Smoking | 23.1% | 22.6% |
| Binge Drinking | 13.0% | 18.8% |
| Obesity | 43.5% | 38.5% |
| Disability Percentage | 10.0% | 15.0% |
Health Statistics Comparison: Valdosta vs Osage beach
- More residents in Valdosta report poor mental health at 19.7% compared to 18.4% in Osage beach.
- Higher depression rates are seen in Osage beach at 25.5% versus 22.2% in Valdosta.
- Smoking is more prevalent in Valdosta at 23.1% compared to 22.6% in Osage beach.
- More residents engage in binge drinking in Osage beach at 18.8% compared to 13.0% in Valdosta.
- Obesity rates are higher in Valdosta at 43.5% compared to 38.5% in Osage beach.
- There is a higher percentage of disabled individuals in Osage beach at 15.0% compared to 10.0% in Valdosta.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Valdosta | Osage beach |
|---|---|---|
| No Schooling | 1.0% (538) | 0.0% (Data is updating) |
| High School Diploma | 16.3% (8,967) | 22.9% (1,105) |
| Less than High School | 8.9% (4,906) | 22.9% (1,106) |
| Bachelor's Degree and Higher | 15.9% (8,750) | 16.6% (801) |
Education Levels Comparison: Valdosta vs Osage beach
- A higher percentage of residents in Valdosta have no formal schooling at 1.0% 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 16.3% in Valdosta.
- The percentage of residents with less than a high school education is higher in Osage beach at 22.9%, compared to 8.9% in Valdosta.
- In Osage beach, a larger share of residents have a bachelor's degree or higher at 16.6% compared to 15.9% in Valdosta.
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.