Demographics details for Washington, MO vs Foster, OK
Population Overview
Compare main population characteristics in Washington, MO vs Foster, OK.
| Data | Washington | Foster |
|---|---|---|
| Population | 15,075 | 247 |
| Median Age | 40.9 years | 38.8 years |
| Median Income | $75,127 | $68,871 |
| Married Families | 41.0% | 47.0% |
| Poverty Level | 8% | 12% |
| Unemployment Rate | 2.5 | 2.5 |
Population Comparison: Washington vs Foster
- In Washington, the population is higher at 15,075, compared to 247 in Foster.
- Residents in Washington have a higher median age of 40.9 years compared to 38.8 years in Foster.
- Washington has a higher median income of $75,127 compared to $68,871 in Foster.
- In Foster, the percentage of married families is higher at 47.0%, compared to 41.0% in Washington.
- The poverty level is higher in Foster at 12%, compared to 8% in Washington.
- The unemployment rate is the same in both Washington and Foster at 2.5%.
Demographics
Demographics Washington vs Foster provide insight into the diversity of the communities to compare.
| Demographic | Washington | Foster |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 91 | 73 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | Data is updating |
| Two or More Races | 7 | 20 |
| American Indian | Data is updating | 7 |
Demographics Comparison: Washington vs Foster
- The percentage of Black residents is the same in both Washington and Foster at 0%.
- Washington has a higher percentage of White residents at 91% compared to 73% in Foster.
- Both Washington and Foster have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Washington at 2% compared to 0% in Foster.
- The percentage of residents identifying as two or more races is higher in Foster at 20%, compared to 7% in Washington.
- In Foster, the percentage of American Indian residents is higher at 7%, compared to 0% in Washington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Washington | Foster |
|---|---|---|
| Mental Health Not Good | 16.8% | 18.5% |
| Physical Health Not Good | 11.0% | 12.9% |
| Depression | 24.6% | 24.7% |
| Smoking | 18.3% | 21.6% |
| Binge Drinking | 19.8% | 15.3% |
| Obesity | 36.6% | 41.9% |
| Disability Percentage | 14.0% | 13.0% |
Health Statistics Comparison: Washington vs Foster
- In Foster, a higher percentage report poor mental health at 18.5% compared to 16.8% in Washington.
- Higher depression rates are seen in Foster at 24.7% versus 24.6% in Washington.
- Foster has a higher smoking rate at 21.6% compared to 18.3% in Washington.
- Binge drinking is more common in Washington at 19.8% compared to 15.3% in Foster.
- Foster has higher obesity rates at 41.9% compared to 36.6% in Washington.
- Disability percentages are higher in Washington at 14.0% compared to 13.0% in Foster.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Washington | Foster |
|---|---|---|
| No Schooling | 0.3% (41) | 0.0% (Data is updating) |
| High School Diploma | 15.0% (2,260) | 30.4% (75) |
| Less than High School | 8.7% (1,311) | 8.1% (20) |
| Bachelor's Degree and Higher | 18.8% (2,838) | 22.3% (55) |
Education Levels Comparison: Washington vs Foster
- A higher percentage of residents in Washington have no formal schooling at 0.3% compared to 0.0% in Foster.
- In Foster, the rate of residents with high school diplomas is higher at 30.4% compared to 15.0% in Washington.
- More residents in Washington have less than a high school education at 8.7% compared to 8.1% in Foster.
- In Foster, a larger share of residents have a bachelor's degree or higher at 22.3% compared to 18.8% 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.