Demographics details for Osage beach, MO vs Kaufman, TX
Population Overview
Compare main population characteristics in Osage beach, MO vs Kaufman, TX.
| Data | Osage beach | Kaufman |
|---|---|---|
| Population | 4,821 | 172,366 |
| Median Age | 48.0 years | 34.6 years |
| Median Income | $51,600 | $84,075 |
| Married Families | 37.0% | 36.0% |
| Poverty Level | 7% | 10% |
| Unemployment Rate | 3.4 | 4.8 |
Population Comparison: Osage beach vs Kaufman
- The population in Kaufman is higher at 172,366, compared to 4,821 in Osage beach.
- Residents in Osage beach have a higher median age of 48.0 years compared to 34.6 years in Kaufman.
- Kaufman has a higher median income of $84,075, compared to $51,600 in Osage beach.
- A higher percentage of married families is found in Osage beach at 37.0% compared to 36.0% in Kaufman.
- The poverty level is higher in Kaufman at 10%, compared to 7% in Osage beach.
- Kaufman has a higher unemployment rate at 4.8% compared to 3.4% in Osage beach.
Demographics
Demographics Osage beach vs Kaufman provide insight into the diversity of the communities to compare.
| Demographic | Osage beach | Kaufman |
|---|---|---|
| Black | 3 | 13 |
| White | 85 | 53 |
| Asian | Data is updating | 1 |
| Hispanic | 8 | 22 |
| Two or More Races | 3 | 11 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Osage beach vs Kaufman
- In Kaufman, the percentage of Black residents is higher at 13% compared to 3% in Osage beach.
- Osage beach has a higher percentage of White residents at 85% compared to 53% in Kaufman.
- In Kaufman, the Asian population stands at 1%, greater than 0% in Osage beach.
- Kaufman has a higher percentage of Hispanic residents at 22%, compared to 8% in Osage beach.
- The percentage of residents identifying as two or more races is higher in Kaufman at 11%, compared to 3% in Osage beach.
- A greater percentage of American Indian residents live in Osage beach at 1% compared to 0% in Kaufman.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Osage beach | Kaufman |
|---|---|---|
| Mental Health Not Good | 18.4% | 16.8% |
| Physical Health Not Good | 13.7% | 11.4% |
| Depression | 25.5% | 22.6% |
| Smoking | 22.6% | 16.1% |
| Binge Drinking | 18.8% | 18.2% |
| Obesity | 38.5% | 36.6% |
| Disability Percentage | 15.0% | 9.0% |
Health Statistics Comparison: Osage beach vs Kaufman
- More residents in Osage beach report poor mental health at 18.4% compared to 16.8% in Kaufman.
- Depression is more prevalent in Osage beach at 25.5% compared to 22.6% in Kaufman.
- Smoking is more prevalent in Osage beach at 22.6% compared to 16.1% in Kaufman.
- Binge drinking is more common in Osage beach at 18.8% compared to 18.2% in Kaufman.
- Obesity rates are higher in Osage beach at 38.5% compared to 36.6% in Kaufman.
- Disability percentages are higher in Osage beach at 15.0% compared to 9.0% in Kaufman.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Osage beach | Kaufman |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.4% (2,482) |
| High School Diploma | 22.9% (1,105) | 12.9% (22,235) |
| Less than High School | 22.9% (1,106) | 14.2% (24,496) |
| Bachelor's Degree and Higher | 16.6% (801) | 13.1% (22,541) |
Education Levels Comparison: Osage beach vs Kaufman
- In Kaufman, a larger percentage of residents lack formal schooling at 1.4% 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 12.9% in Kaufman.
- More residents in Osage beach have less than a high school education at 22.9% compared to 14.2% in Kaufman.
- A higher percentage of residents in Osage beach hold a bachelor's degree or higher at 16.6% compared to 13.1% in Kaufman.
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.