Demographics details for Taylor, TX vs Osage beach, MO
Population Overview
Compare main population characteristics in Taylor, TX vs Osage beach, MO.
| Data | Taylor | Osage beach |
|---|---|---|
| Population | 16,975 | 4,821 |
| Median Age | 40.6 years | 48.0 years |
| Median Income | $66,626 | $51,600 |
| Married Families | 38.0% | 37.0% |
| Poverty Level | 10% | 7% |
| Unemployment Rate | 3.5 | 3.4 |
Population Comparison: Taylor vs Osage beach
- In Taylor, the population is higher at 16,975, compared to 4,821 in Osage beach.
- The median age in Osage beach is higher at 48.0 years, compared to 40.6 years in Taylor.
- Taylor has a higher median income of $66,626 compared to $51,600 in Osage beach.
- A higher percentage of married families is found in Taylor at 38.0% compared to 37.0% in Osage beach.
- Taylor has a higher poverty level at 10% compared to 7% in Osage beach.
- The unemployment rate in Taylor is higher at 3.5%, compared to 3.4% in Osage beach.
Demographics
Demographics Taylor vs Osage beach provide insight into the diversity of the communities to compare.
| Demographic | Taylor | Osage beach |
|---|---|---|
| Black | 8 | 3 |
| White | 30 | 85 |
| Asian | 1 | Data is updating |
| Hispanic | 41 | 8 |
| Two or More Races | 19 | 3 |
| American Indian | 1 | 1 |
Demographics Comparison: Taylor vs Osage beach
- A higher percentage of Black residents are in Taylor at 8% compared to 3% in Osage beach.
- The percentage of White residents is higher in Osage beach at 85% compared to 30% in Taylor.
- The Asian population is larger in Taylor at 1% compared to 0% in Osage beach.
- The Hispanic community is larger in Taylor at 41% compared to 8% in Osage beach.
- More residents identify as two or more races in Taylor at 19% compared to 3% in Osage beach.
- The percentage of American Indian residents is the same in both Taylor and Osage beach at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Taylor | Osage beach |
|---|---|---|
| Mental Health Not Good | 17.9% | 18.4% |
| Physical Health Not Good | 12.4% | 13.7% |
| Depression | 25.4% | 25.5% |
| Smoking | 16.6% | 22.6% |
| Binge Drinking | 15.6% | 18.8% |
| Obesity | 38.0% | 38.5% |
| Disability Percentage | 17.0% | 15.0% |
Health Statistics Comparison: Taylor vs Osage beach
- In Osage beach, a higher percentage report poor mental health at 18.4% compared to 17.9% in Taylor.
- Higher depression rates are seen in Osage beach at 25.5% versus 25.4% in Taylor.
- Osage beach has a higher smoking rate at 22.6% compared to 16.6% in Taylor.
- More residents engage in binge drinking in Osage beach at 18.8% compared to 15.6% in Taylor.
- Osage beach has higher obesity rates at 38.5% compared to 38.0% in Taylor.
- Disability percentages are higher in Taylor at 17.0% 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 | Taylor | Osage beach |
|---|---|---|
| No Schooling | 0.8% (135) | 0.0% (Data is updating) |
| High School Diploma | 20.9% (3,551) | 22.9% (1,105) |
| Less than High School | 20.6% (3,497) | 22.9% (1,106) |
| Bachelor's Degree and Higher | 11.1% (1,886) | 16.6% (801) |
Education Levels Comparison: Taylor vs Osage beach
- A higher percentage of residents in Taylor have no formal schooling at 0.8% 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 20.9% in Taylor.
- The percentage of residents with less than a high school education is higher in Osage beach at 22.9%, compared to 20.6% in Taylor.
- In Osage beach, a larger share of residents have a bachelor's degree or higher at 16.6% compared to 11.1% in Taylor.
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.