Demographics details for Washington, MO vs Watauga, TX
Population Overview
Compare main population characteristics in Washington, MO vs Watauga, TX.
| Data | Washington | Watauga |
|---|---|---|
| Population | 15,075 | 23,050 |
| Median Age | 40.9 years | 35.8 years |
| Median Income | $75,127 | $88,775 |
| Married Families | 41.0% | 43.0% |
| Poverty Level | 8% | 10% |
| Unemployment Rate | 2.5 | 3.5 |
Population Comparison: Washington vs Watauga
- The population in Watauga is higher at 23,050, compared to 15,075 in Washington.
- Residents in Washington have a higher median age of 40.9 years compared to 35.8 years in Watauga.
- Watauga has a higher median income of $88,775, compared to $75,127 in Washington.
- In Watauga, the percentage of married families is higher at 43.0%, compared to 41.0% in Washington.
- The poverty level is higher in Watauga at 10%, compared to 8% in Washington.
- Watauga has a higher unemployment rate at 3.5% compared to 2.5% in Washington.
Demographics
Demographics Washington vs Watauga provide insight into the diversity of the communities to compare.
| Demographic | Washington | Watauga |
|---|---|---|
| Black | Data is updating | 8 |
| White | 91 | 46 |
| Asian | Data is updating | 4 |
| Hispanic | 2 | 28 |
| Two or More Races | 7 | 12 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Washington vs Watauga
- In Watauga, the percentage of Black residents is higher at 8% compared to 0% in Washington.
- Washington has a higher percentage of White residents at 91% compared to 46% in Watauga.
- In Watauga, the Asian population stands at 4%, greater than 0% in Washington.
- Watauga has a higher percentage of Hispanic residents at 28%, compared to 2% in Washington.
- The percentage of residents identifying as two or more races is higher in Watauga at 12%, compared to 7% in Washington.
- In Watauga, the percentage of American Indian residents is higher at 2%, compared to 0% in Washington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Washington | Watauga |
|---|---|---|
| Mental Health Not Good | 16.8% | 16.5% |
| Physical Health Not Good | 11.0% | 11.0% |
| Depression | 24.6% | 23.6% |
| Smoking | 18.3% | 15.4% |
| Binge Drinking | 19.8% | 18.0% |
| Obesity | 36.6% | 33.1% |
| Disability Percentage | 14.0% | 11.0% |
Health Statistics Comparison: Washington vs Watauga
- More residents in Washington report poor mental health at 16.8% compared to 16.5% in Watauga.
- Depression is more prevalent in Washington at 24.6% compared to 23.6% in Watauga.
- Smoking is more prevalent in Washington at 18.3% compared to 15.4% in Watauga.
- Binge drinking is more common in Washington at 19.8% compared to 18.0% in Watauga.
- Obesity rates are higher in Washington at 36.6% compared to 33.1% in Watauga.
- Disability percentages are higher in Washington at 14.0% compared to 11.0% in Watauga.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Washington | Watauga |
|---|---|---|
| No Schooling | 0.3% (41) | 0.7% (166) |
| High School Diploma | 15.0% (2,260) | 17.6% (4,050) |
| Less than High School | 8.7% (1,311) | 12.7% (2,930) |
| Bachelor's Degree and Higher | 18.8% (2,838) | 16.8% (3,869) |
Education Levels Comparison: Washington vs Watauga
- In Watauga, a larger percentage of residents lack formal schooling at 0.7% compared to 0.3% in Washington.
- In Watauga, the rate of residents with high school diplomas is higher at 17.6% compared to 15.0% in Washington.
- The percentage of residents with less than a high school education is higher in Watauga at 12.7%, compared to 8.7% in Washington.
- A higher percentage of residents in Washington hold a bachelor's degree or higher at 18.8% compared to 16.8% in Watauga.
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.