Demographics details for Washington, MO vs Rising star, TX
Population Overview
Compare main population characteristics in Washington, MO vs Rising star, TX.
Data | Washington | Rising star |
---|---|---|
Population | 15,075 | 765 |
Median Age | 40.9 years | 44.1 years |
Median Income | $75,127 | $32,697 |
Married Families | 41.0% | 22.0% |
Poverty Level | 8% | 10% |
Unemployment Rate | 2.5 | 3.2 |
Population Comparison: Washington vs Rising star
- In Washington, the population is higher at 15,075, compared to 765 in Rising star.
- The median age in Rising star is higher at 44.1 years, compared to 40.9 years in Washington.
- Washington has a higher median income of $75,127 compared to $32,697 in Rising star.
- A higher percentage of married families is found in Washington at 41.0% compared to 22.0% in Rising star.
- The poverty level is higher in Rising star at 10%, compared to 8% in Washington.
- Rising star has a higher unemployment rate at 3.2% compared to 2.5% in Washington.
Demographics
Demographics Washington vs Rising star provide insight into the diversity of the communities to compare.
Demographic | Washington | Rising star |
---|---|---|
Black | Data is updating | Data is updating |
White | 91 | 76 |
Asian | Data is updating | Data is updating |
Hispanic | 2 | 18 |
Two or More Races | 7 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Washington vs Rising star
- The percentage of Black residents is the same in both Washington and Rising star at 0%.
- Washington has a higher percentage of White residents at 91% compared to 76% in Rising star.
- Both Washington and Rising star have the same percentage of Asian residents at 0%.
- Rising star has a higher percentage of Hispanic residents at 18%, compared to 2% in Washington.
- More residents identify as two or more races in Washington at 7% compared to 6% in Rising star.
- The percentage of American Indian residents is the same in both Washington and Rising star at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Washington | Rising star |
---|---|---|
Mental Health Not Good | 16.8% | 19.3% |
Physical Health Not Good | 11.0% | 13.0% |
Depression | 24.6% | 26.6% |
Smoking | 18.3% | 20.2% |
Binge Drinking | 19.8% | 18.7% |
Obesity | 36.6% | 37.0% |
Disability Percentage | 14.0% | 21.0% |
Health Statistics Comparison: Washington vs Rising star
- In Rising star, a higher percentage report poor mental health at 19.3% compared to 16.8% in Washington.
- Higher depression rates are seen in Rising star at 26.6% versus 24.6% in Washington.
- Rising star has a higher smoking rate at 20.2% compared to 18.3% in Washington.
- Binge drinking is more common in Washington at 19.8% compared to 18.7% in Rising star.
- Rising star has higher obesity rates at 37.0% compared to 36.6% in Washington.
- There is a higher percentage of disabled individuals in Rising star at 21.0% compared to 14.0% in Washington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Washington | Rising star |
---|---|---|
No Schooling | 0.3% (41) | 1.4% (11) |
High School Diploma | 15.0% (2,260) | 14.4% (110) |
Less than High School | 8.7% (1,311) | 25.1% (192) |
Bachelor's Degree and Higher | 18.8% (2,838) | 2.0% (15) |
Education Levels Comparison: Washington vs Rising star
- In Rising star, a larger percentage of residents lack formal schooling at 1.4% compared to 0.3% in Washington.
- A higher percentage of residents in Washington hold a high school diploma at 15.0% compared to 14.4% in Rising star.
- The percentage of residents with less than a high school education is higher in Rising star at 25.1%, 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 2.0% in Rising 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.