Demographics details for Ossian, IN vs Washington, KS
Population Overview
Compare main population characteristics in Ossian, IN vs Washington, KS.
| Data | Ossian | Washington |
|---|---|---|
| Population | 3,359 | 5,501 |
| Median Age | 38.4 years | 44.9 years |
| Median Income | $56,326 | $59,432 |
| Married Families | 46.0% | 46.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 2.5 | 3.0 |
Population Comparison: Ossian vs Washington
- The population in Washington is higher at 5,501, compared to 3,359 in Ossian.
- The median age in Washington is higher at 44.9 years, compared to 38.4 years in Ossian.
- Washington has a higher median income of $59,432, compared to $56,326 in Ossian.
- The percentage of married families is the same in both Ossian and Washington at 46.0%.
- The poverty level is higher in Washington at 12%, compared to 10% in Ossian.
- Washington has a higher unemployment rate at 3.0% compared to 2.5% in Ossian.
Demographics
Demographics Ossian vs Washington provide insight into the diversity of the communities to compare.
| Demographic | Ossian | Washington |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 95 | 93 |
| Asian | Data is updating | 1 |
| Hispanic | 1 | 4 |
| Two or More Races | 4 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Ossian vs Washington
- The percentage of Black residents is the same in both Ossian and Washington at 0%.
- Ossian has a higher percentage of White residents at 95% compared to 93% in Washington.
- In Washington, the Asian population stands at 1%, greater than 0% in Ossian.
- Washington has a higher percentage of Hispanic residents at 4%, compared to 1% in Ossian.
- More residents identify as two or more races in Ossian at 4% compared to 2% in Washington.
- The percentage of American Indian residents is the same in both Ossian and Washington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ossian | Washington |
|---|---|---|
| Mental Health Not Good | 16.8% | 15.8% |
| Physical Health Not Good | 10.8% | 10.1% |
| Depression | 26.2% | 20.9% |
| Smoking | 18.2% | 18.8% |
| Binge Drinking | 17.7% | 20.4% |
| Obesity | 37.1% | 42.1% |
| Disability Percentage | 12.0% | 14.0% |
Health Statistics Comparison: Ossian vs Washington
- More residents in Ossian report poor mental health at 16.8% compared to 15.8% in Washington.
- Depression is more prevalent in Ossian at 26.2% compared to 20.9% in Washington.
- Washington has a higher smoking rate at 18.8% compared to 18.2% in Ossian.
- More residents engage in binge drinking in Washington at 20.4% compared to 17.7% in Ossian.
- Washington has higher obesity rates at 42.1% compared to 37.1% in Ossian.
- There is a higher percentage of disabled individuals in Washington at 14.0% compared to 12.0% in Ossian.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ossian | Washington |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.8% (45) |
| High School Diploma | 26.1% (877) | 24.9% (1,368) |
| Less than High School | 4.6% (154) | 9.0% (494) |
| Bachelor's Degree and Higher | 18.3% (616) | 15.8% (869) |
Education Levels Comparison: Ossian vs Washington
- In Washington, a larger percentage of residents lack formal schooling at 0.8% compared to 0.0% in Ossian.
- A higher percentage of residents in Ossian hold a high school diploma at 26.1% compared to 24.9% in Washington.
- The percentage of residents with less than a high school education is higher in Washington at 9.0%, compared to 4.6% in Ossian.
- A higher percentage of residents in Ossian hold a bachelor's degree or higher at 18.3% compared to 15.8% in Washington.
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.