Demographics details for Washington, MO vs Wakita, OK
Population Overview
Compare main population characteristics in Washington, MO vs Wakita, OK.
| Data | Washington | Wakita |
|---|---|---|
| Population | 15,075 | 307 |
| Median Age | 40.9 years | 35.5 years |
| Median Income | $75,127 | $34,375 |
| Married Families | 41.0% | 32.0% |
| Poverty Level | 8% | 15% |
| Unemployment Rate | 2.5 | 3.5 |
Population Comparison: Washington vs Wakita
- In Washington, the population is higher at 15,075, compared to 307 in Wakita.
- Residents in Washington have a higher median age of 40.9 years compared to 35.5 years in Wakita.
- Washington has a higher median income of $75,127 compared to $34,375 in Wakita.
- A higher percentage of married families is found in Washington at 41.0% compared to 32.0% in Wakita.
- The poverty level is higher in Wakita at 15%, compared to 8% in Washington.
- Wakita has a higher unemployment rate at 3.5% compared to 2.5% in Washington.
Demographics
Demographics Washington vs Wakita provide insight into the diversity of the communities to compare.
| Demographic | Washington | Wakita |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 91 | 74 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | 20 |
| Two or More Races | 7 | 4 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Washington vs Wakita
- The percentage of Black residents is the same in both Washington and Wakita at 0%.
- Washington has a higher percentage of White residents at 91% compared to 74% in Wakita.
- Both Washington and Wakita have the same percentage of Asian residents at 0%.
- Wakita has a higher percentage of Hispanic residents at 20%, compared to 2% in Washington.
- More residents identify as two or more races in Washington at 7% compared to 4% in Wakita.
- In Wakita, the percentage of American Indian residents is higher at 2%, compared to 0% in Washington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Washington | Wakita |
|---|---|---|
| Mental Health Not Good | 16.8% | 17.8% |
| Physical Health Not Good | 11.0% | 11.4% |
| Depression | 24.6% | 25.5% |
| Smoking | 18.3% | 17.8% |
| Binge Drinking | 19.8% | 15.8% |
| Obesity | 36.6% | 39.1% |
| Disability Percentage | 14.0% | 19.0% |
Health Statistics Comparison: Washington vs Wakita
- In Wakita, a higher percentage report poor mental health at 17.8% compared to 16.8% in Washington.
- Higher depression rates are seen in Wakita at 25.5% versus 24.6% in Washington.
- Smoking is more prevalent in Washington at 18.3% compared to 17.8% in Wakita.
- Binge drinking is more common in Washington at 19.8% compared to 15.8% in Wakita.
- Wakita has higher obesity rates at 39.1% compared to 36.6% in Washington.
- There is a higher percentage of disabled individuals in Wakita at 19.0% 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 | Wakita |
|---|---|---|
| No Schooling | 0.3% (41) | 0.0% (Data is updating) |
| High School Diploma | 15.0% (2,260) | 25.1% (77) |
| Less than High School | 8.7% (1,311) | 10.4% (32) |
| Bachelor's Degree and Higher | 18.8% (2,838) | 11.4% (35) |
Education Levels Comparison: Washington vs Wakita
- A higher percentage of residents in Washington have no formal schooling at 0.3% compared to 0.0% in Wakita.
- In Wakita, the rate of residents with high school diplomas is higher at 25.1% compared to 15.0% in Washington.
- The percentage of residents with less than a high school education is higher in Wakita at 10.4%, 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 11.4% in Wakita.
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.