Demographics details for Osage beach, MO vs Star, NC
Population Overview
Compare main population characteristics in Osage beach, MO vs Star, NC.
Data | Osage beach | Star |
---|---|---|
Population | 4,821 | 809 |
Median Age | 48.0 years | 47.6 years |
Median Income | $51,600 | $35,750 |
Married Families | 37.0% | 50.0% |
Poverty Level | 7% | 12% |
Unemployment Rate | 3.4 | 5.0 |
Population Comparison: Osage beach vs Star
- In Osage beach, the population is higher at 4,821, compared to 809 in Star.
- Residents in Osage beach have a higher median age of 48.0 years compared to 47.6 years in Star.
- Osage beach has a higher median income of $51,600 compared to $35,750 in Star.
- In Star, the percentage of married families is higher at 50.0%, compared to 37.0% in Osage beach.
- The poverty level is higher in Star at 12%, compared to 7% in Osage beach.
- Star has a higher unemployment rate at 5.0% compared to 3.4% in Osage beach.
Demographics
Demographics Osage beach vs Star provide insight into the diversity of the communities to compare.
Demographic | Osage beach | Star |
---|---|---|
Black | 3 | 50 |
White | 85 | 19 |
Asian | Data is updating | 1 |
Hispanic | 8 | 29 |
Two or More Races | 3 | 1 |
American Indian | 1 | Data is updating |
Demographics Comparison: Osage beach vs Star
- In Star, the percentage of Black residents is higher at 50% compared to 3% in Osage beach.
- Osage beach has a higher percentage of White residents at 85% compared to 19% in Star.
- In Star, the Asian population stands at 1%, greater than 0% in Osage beach.
- Star has a higher percentage of Hispanic residents at 29%, compared to 8% in Osage beach.
- More residents identify as two or more races in Osage beach at 3% compared to 1% in Star.
- A greater percentage of American Indian residents live in Osage beach at 1% compared to 0% in Star.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Osage beach | Star |
---|---|---|
Mental Health Not Good | 18.4% | 17.9% |
Physical Health Not Good | 13.7% | 13.4% |
Depression | 25.5% | 25.0% |
Smoking | 22.6% | 20.7% |
Binge Drinking | 18.8% | 16.4% |
Obesity | 38.5% | 36.6% |
Disability Percentage | 15.0% | 68.0% |
Health Statistics Comparison: Osage beach vs Star
- More residents in Osage beach report poor mental health at 18.4% compared to 17.9% in Star.
- Depression is more prevalent in Osage beach at 25.5% compared to 25.0% in Star.
- Smoking is more prevalent in Osage beach at 22.6% compared to 20.7% in Star.
- Binge drinking is more common in Osage beach at 18.8% compared to 16.4% in Star.
- Obesity rates are higher in Osage beach at 38.5% compared to 36.6% in Star.
- There is a higher percentage of disabled individuals in Star at 68.0% 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 | Star |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.7% (6) |
High School Diploma | 22.9% (1,105) | 20.9% (169) |
Less than High School | 22.9% (1,106) | 44.0% (356) |
Bachelor's Degree and Higher | 16.6% (801) | 14.6% (118) |
Education Levels Comparison: Osage beach vs Star
- In Star, a larger percentage of residents lack formal schooling at 0.7% 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 20.9% in Star.
- The percentage of residents with less than a high school education is higher in Star at 44.0%, 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 14.6% in Star.
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.