Demographics details for Osage beach, MO vs Fort mill, SC
Population Overview
Compare main population characteristics in Osage beach, MO vs Fort mill, SC.
| Data | Osage beach | Fort mill |
|---|---|---|
| Population | 4,821 | 30,940 |
| Median Age | 48.0 years | 36.7 years |
| Median Income | $51,600 | $128,125 |
| Married Families | 37.0% | 37.0% |
| Poverty Level | 7% | 5% |
| Unemployment Rate | 3.4 | 4.1 |
Population Comparison: Osage beach vs Fort mill
- The population in Fort mill is higher at 30,940, compared to 4,821 in Osage beach.
- Residents in Osage beach have a higher median age of 48.0 years compared to 36.7 years in Fort mill.
- Fort mill has a higher median income of $128,125, compared to $51,600 in Osage beach.
- The percentage of married families is the same in both Osage beach and Fort mill at 37.0%.
- Osage beach has a higher poverty level at 7% compared to 5% in Fort mill.
- Fort mill has a higher unemployment rate at 4.1% compared to 3.4% in Osage beach.
Demographics
Demographics Osage beach vs Fort mill provide insight into the diversity of the communities to compare.
| Demographic | Osage beach | Fort mill |
|---|---|---|
| Black | 3 | 9 |
| White | 85 | 79 |
| Asian | Data is updating | 3 |
| Hispanic | 8 | 5 |
| Two or More Races | 3 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Osage beach vs Fort mill
- In Fort mill, the percentage of Black residents is higher at 9% compared to 3% in Osage beach.
- Osage beach has a higher percentage of White residents at 85% compared to 79% in Fort mill.
- In Fort mill, the Asian population stands at 3%, greater than 0% in Osage beach.
- The Hispanic community is larger in Osage beach at 8% compared to 5% in Fort mill.
- The percentage of residents identifying as two or more races is higher in Fort mill at 4%, compared to 3% in Osage beach.
- A greater percentage of American Indian residents live in Osage beach at 1% compared to 0% in Fort mill.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Osage beach | Fort mill |
|---|---|---|
| Mental Health Not Good | 18.4% | 15.4% |
| Physical Health Not Good | 13.7% | 9.4% |
| Depression | 25.5% | 21.1% |
| Smoking | 22.6% | 12.3% |
| Binge Drinking | 18.8% | 18.3% |
| Obesity | 38.5% | 31.6% |
| Disability Percentage | 15.0% | 5.0% |
Health Statistics Comparison: Osage beach vs Fort mill
- More residents in Osage beach report poor mental health at 18.4% compared to 15.4% in Fort mill.
- Depression is more prevalent in Osage beach at 25.5% compared to 21.1% in Fort mill.
- Smoking is more prevalent in Osage beach at 22.6% compared to 12.3% in Fort mill.
- Binge drinking is more common in Osage beach at 18.8% compared to 18.3% in Fort mill.
- Obesity rates are higher in Osage beach at 38.5% compared to 31.6% in Fort mill.
- Disability percentages are higher in Osage beach at 15.0% compared to 5.0% in Fort mill.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Osage beach | Fort mill |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.3% (78) |
| High School Diploma | 22.9% (1,105) | 7.7% (2,372) |
| Less than High School | 22.9% (1,106) | 2.8% (879) |
| Bachelor's Degree and Higher | 16.6% (801) | 30.0% (9,271) |
Education Levels Comparison: Osage beach vs Fort mill
- In Fort mill, a larger percentage of residents lack formal schooling at 0.3% 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 7.7% in Fort mill.
- More residents in Osage beach have less than a high school education at 22.9% compared to 2.8% in Fort mill.
- In Fort mill, a larger share of residents have a bachelor's degree or higher at 30.0% compared to 16.6% in Osage beach.
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.