Demographics details for Boon, MI vs Wakita, OK
Population Overview
Compare main population characteristics in Boon, MI vs Wakita, OK.
| Data | Boon | Wakita |
|---|---|---|
| Population | 56 | 307 |
| Median Age | 52.9 years | 35.5 years |
| Median Income | $90,000 | $34,375 |
| Married Families | 43.0% | 32.0% |
| Poverty Level | 5% | 15% |
| Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Boon vs Wakita
- The population in Wakita is higher at 307, compared to 56 in Boon.
- Residents in Boon have a higher median age of 52.9 years compared to 35.5 years in Wakita.
- Boon has a higher median income of $90,000 compared to $34,375 in Wakita.
- A higher percentage of married families is found in Boon at 43.0% compared to 32.0% in Wakita.
- The poverty level is higher in Wakita at 15%, compared to 5% in Boon.
- The unemployment rate in Boon is higher at 4.2%, compared to 3.5% in Wakita.
Demographics
Demographics Boon vs Wakita provide insight into the diversity of the communities to compare.
| Demographic | Boon | Wakita |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 100 | 74 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 20 |
| Two or More Races | Data is updating | 4 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Boon vs Wakita
- The percentage of Black residents is the same in both Boon and Wakita at 0%.
- Boon has a higher percentage of White residents at 100% compared to 74% in Wakita.
- Both Boon and Wakita have the same percentage of Asian residents at 0%.
- Wakita has a higher percentage of Hispanic residents at 20%, compared to 0% in Boon.
- The percentage of residents identifying as two or more races is higher in Wakita at 4%, compared to 0% in Boon.
- In Wakita, the percentage of American Indian residents is higher at 2%, compared to 0% in Boon.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Boon | Wakita |
|---|---|---|
| Mental Health Not Good | 19.1% | 17.8% |
| Physical Health Not Good | 13.1% | 11.4% |
| Depression | 26.7% | 25.5% |
| Smoking | 24.7% | 17.8% |
| Binge Drinking | 18.4% | 15.8% |
| Obesity | 38.7% | 39.1% |
| Disability Percentage | 11.0% | 19.0% |
Health Statistics Comparison: Boon vs Wakita
- More residents in Boon report poor mental health at 19.1% compared to 17.8% in Wakita.
- Depression is more prevalent in Boon at 26.7% compared to 25.5% in Wakita.
- Smoking is more prevalent in Boon at 24.7% compared to 17.8% in Wakita.
- Binge drinking is more common in Boon at 18.4% compared to 15.8% in Wakita.
- Wakita has higher obesity rates at 39.1% compared to 38.7% in Boon.
- There is a higher percentage of disabled individuals in Wakita at 19.0% compared to 11.0% in Boon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Boon | Wakita |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 21.4% (12) | 25.1% (77) |
| Less than High School | 10.7% (6) | 10.4% (32) |
| Bachelor's Degree and Higher | 26.8% (15) | 11.4% (35) |
Education Levels Comparison: Boon vs Wakita
- The percentage of residents with no formal schooling is the same in both Boon and Wakita at 0.0%.
- In Wakita, the rate of residents with high school diplomas is higher at 25.1% compared to 21.4% in Boon.
- More residents in Boon have less than a high school education at 10.7% compared to 10.4% in Wakita.
- A higher percentage of residents in Boon hold a bachelor's degree or higher at 26.8% 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.