Demographics details for Washington, MO vs Rupert, ID
Population Overview
Compare main population characteristics in Washington, MO vs Rupert, ID.
| Data | Washington | Rupert |
|---|---|---|
| Population | 15,075 | 6,238 |
| Median Age | 40.9 years | 34.1 years |
| Median Income | $75,127 | $53,348 |
| Married Families | 41.0% | 38.0% |
| Poverty Level | 8% | 12% |
| Unemployment Rate | 2.5 | 4.1 |
Population Comparison: Washington vs Rupert
- In Washington, the population is higher at 15,075, compared to 6,238 in Rupert.
- Residents in Washington have a higher median age of 40.9 years compared to 34.1 years in Rupert.
- Washington has a higher median income of $75,127 compared to $53,348 in Rupert.
- A higher percentage of married families is found in Washington at 41.0% compared to 38.0% in Rupert.
- The poverty level is higher in Rupert at 12%, compared to 8% in Washington.
- Rupert has a higher unemployment rate at 4.1% compared to 2.5% in Washington.
Demographics
Demographics Washington vs Rupert provide insight into the diversity of the communities to compare.
| Demographic | Washington | Rupert |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 91 | 39 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | 47 |
| Two or More Races | 7 | 13 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Washington vs Rupert
- The percentage of Black residents is the same in both Washington and Rupert at 0%.
- Washington has a higher percentage of White residents at 91% compared to 39% in Rupert.
- Both Washington and Rupert have the same percentage of Asian residents at 0%.
- Rupert has a higher percentage of Hispanic residents at 47%, compared to 2% in Washington.
- The percentage of residents identifying as two or more races is higher in Rupert at 13%, compared to 7% in Washington.
- In Rupert, the percentage of American Indian residents is higher at 1%, compared to 0% in Washington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Washington | Rupert |
|---|---|---|
| Mental Health Not Good | 16.8% | 17.5% |
| Physical Health Not Good | 11.0% | 14.9% |
| Depression | 24.6% | 23.0% |
| Smoking | 18.3% | 20.0% |
| Binge Drinking | 19.8% | 14.0% |
| Obesity | 36.6% | 39.7% |
| Disability Percentage | 14.0% | 14.0% |
Health Statistics Comparison: Washington vs Rupert
- In Rupert, a higher percentage report poor mental health at 17.5% compared to 16.8% in Washington.
- Depression is more prevalent in Washington at 24.6% compared to 23.0% in Rupert.
- Rupert has a higher smoking rate at 20.0% compared to 18.3% in Washington.
- Binge drinking is more common in Washington at 19.8% compared to 14.0% in Rupert.
- Rupert has higher obesity rates at 39.7% compared to 36.6% in Washington.
- Disability percentages are the same in both Washington and Rupert at 14.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Washington | Rupert |
|---|---|---|
| No Schooling | 0.3% (41) | 1.7% (107) |
| High School Diploma | 15.0% (2,260) | 16.8% (1,046) |
| Less than High School | 8.7% (1,311) | 25.5% (1,589) |
| Bachelor's Degree and Higher | 18.8% (2,838) | 5.7% (354) |
Education Levels Comparison: Washington vs Rupert
- In Rupert, a larger percentage of residents lack formal schooling at 1.7% compared to 0.3% in Washington.
- In Rupert, the rate of residents with high school diplomas is higher at 16.8% compared to 15.0% in Washington.
- The percentage of residents with less than a high school education is higher in Rupert at 25.5%, 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 5.7% in Rupert.
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.