Demographics details for Fort washington, MD vs Keno, OR
Population Overview
Compare main population characteristics in Fort washington, MD vs Keno, OR.
| Data | Fort washington | Keno |
|---|---|---|
| Population | 25,825 | 3,083 |
| Median Age | 44.1 years | 47.5 years |
| Median Income | $143,623 | $69,421 |
| Married Families | 43.0% | 47.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Fort washington vs Keno
- In Fort washington, the population is higher at 25,825, compared to 3,083 in Keno.
- The median age in Keno is higher at 47.5 years, compared to 44.1 years in Fort washington.
- Fort washington has a higher median income of $143,623 compared to $69,421 in Keno.
- In Keno, the percentage of married families is higher at 47.0%, compared to 43.0% in Fort washington.
- The poverty level is higher in Keno at 10%, compared to 5% in Fort washington.
- Keno has a higher unemployment rate at 4.5% compared to 3.5% in Fort washington.
Demographics
Demographics Fort washington vs Keno provide insight into the diversity of the communities to compare.
| Demographic | Fort washington | Keno |
|---|---|---|
| Black | 61 | Data is updating |
| White | 8 | 82 |
| Asian | 8 | 4 |
| Hispanic | 17 | 6 |
| Two or More Races | 6 | 5 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Fort washington vs Keno
- A higher percentage of Black residents are in Fort washington at 61% compared to 0% in Keno.
- The percentage of White residents is higher in Keno at 82% compared to 8% in Fort washington.
- The Asian population is larger in Fort washington at 8% compared to 4% in Keno.
- The Hispanic community is larger in Fort washington at 17% compared to 6% in Keno.
- More residents identify as two or more races in Fort washington at 6% compared to 5% in Keno.
- In Keno, the percentage of American Indian residents is higher at 3%, compared to 0% in Fort washington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Fort washington | Keno |
|---|---|---|
| Mental Health Not Good | 12.5% | Data is updating% |
| Physical Health Not Good | 7.9% | Data is updating% |
| Depression | 11.6% | Data is updating% |
| Smoking | 9.6% | Data is updating% |
| Binge Drinking | 12.0% | Data is updating% |
| Obesity | 37.7% | Data is updating% |
| Disability Percentage | 9.0% | 14.0% |
Health Statistics Comparison: Fort washington vs Keno
- More residents in Fort washington report poor mental health at 12.5% compared to 0.0% in Keno.
- Depression is more prevalent in Fort washington at 11.6% compared to 0.0% in Keno.
- Smoking is more prevalent in Fort washington at 9.6% compared to 0.0% in Keno.
- Binge drinking is more common in Fort washington at 12.0% compared to 0.0% in Keno.
- Obesity rates are higher in Fort washington at 37.7% compared to 0.0% in Keno.
- There is a higher percentage of disabled individuals in Keno at 14.0% compared to 9.0% in Fort washington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Fort washington | Keno |
|---|---|---|
| No Schooling | 1.2% (297) | 0.2% (6) |
| High School Diploma | 14.4% (3,710) | 22.0% (678) |
| Less than High School | 8.3% (2,138) | 16.6% (512) |
| Bachelor's Degree and Higher | 31.8% (8,208) | 12.9% (398) |
Education Levels Comparison: Fort washington vs Keno
- A higher percentage of residents in Fort washington have no formal schooling at 1.2% compared to 0.2% in Keno.
- In Keno, the rate of residents with high school diplomas is higher at 22.0% compared to 14.4% in Fort washington.
- The percentage of residents with less than a high school education is higher in Keno at 16.6%, compared to 8.3% in Fort washington.
- A higher percentage of residents in Fort washington hold a bachelor's degree or higher at 31.8% compared to 12.9% in Keno.
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.