Demographics details for Mead, WA vs Bixby, OK
Population Overview
Compare main population characteristics in Mead, WA vs Bixby, OK.
| Data | Mead | Bixby |
|---|---|---|
| Population | 7,275 | 29,800 |
| Median Age | 36.0 years | 36.8 years |
| Median Income | $85,000 | $93,765 |
| Married Families | 55.0% | 44.0% |
| Poverty Level | 5% | 5% |
| Unemployment Rate | 4.0 | 3.3 |
Population Comparison: Mead vs Bixby
- The population in Bixby is higher at 29,800, compared to 7,275 in Mead.
- The median age in Bixby is higher at 36.8 years, compared to 36.0 years in Mead.
- Bixby has a higher median income of $93,765, compared to $85,000 in Mead.
- A higher percentage of married families is found in Mead at 55.0% compared to 44.0% in Bixby.
- The poverty level is identical in both Mead and Bixby at 5%.
- The unemployment rate in Mead is higher at 4.0%, compared to 3.3% in Bixby.
Demographics
Demographics Mead vs Bixby provide insight into the diversity of the communities to compare.
| Demographic | Mead | Bixby |
|---|---|---|
| Black | 1 | 2 |
| White | 95 | 71 |
| Asian | 2 | 4 |
| Hispanic | 1 | 7 |
| Two or More Races | 1 | 11 |
| American Indian | Data is updating | 5 |
Demographics Comparison: Mead vs Bixby
- In Bixby, the percentage of Black residents is higher at 2% compared to 1% in Mead.
- Mead has a higher percentage of White residents at 95% compared to 71% in Bixby.
- In Bixby, the Asian population stands at 4%, greater than 2% in Mead.
- Bixby has a higher percentage of Hispanic residents at 7%, compared to 1% in Mead.
- The percentage of residents identifying as two or more races is higher in Bixby at 11%, compared to 1% in Mead.
- In Bixby, the percentage of American Indian residents is higher at 5%, compared to 0% in Mead.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mead | Bixby |
|---|---|---|
| Mental Health Not Good | Data is updating% | 15.8% |
| Physical Health Not Good | Data is updating% | 9.2% |
| Depression | Data is updating% | 24.5% |
| Smoking | Data is updating% | 12.8% |
| Binge Drinking | Data is updating% | 15.7% |
| Obesity | Data is updating% | 32.1% |
| Disability Percentage | Data is updating% | 8.0% |
Health Statistics Comparison: Mead vs Bixby
- In Bixby, a higher percentage report poor mental health at 15.8% compared to 0.0% in Mead.
- Higher depression rates are seen in Bixby at 24.5% versus 0.0% in Mead.
- Bixby has a higher smoking rate at 12.8% compared to 0.0% in Mead.
- More residents engage in binge drinking in Bixby at 15.7% compared to 0.0% in Mead.
- Bixby has higher obesity rates at 32.1% compared to 0.0% in Mead.
- There is a higher percentage of disabled individuals in Bixby at 8.0% compared to 0.0% in Mead.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mead | Bixby |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.5% (154) |
| High School Diploma | 0.0% (Data is updating) | 10.8% (3,233) |
| Less than High School | 0.0% (Data is updating) | 5.5% (1,652) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 27.9% (8,313) |
Education Levels Comparison: Mead vs Bixby
- In Bixby, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Mead.
- In Bixby, the rate of residents with high school diplomas is higher at 10.8% compared to 0.0% in Mead.
- The percentage of residents with less than a high school education is higher in Bixby at 5.5%, compared to 0.0% in Mead.
- In Bixby, a larger share of residents have a bachelor's degree or higher at 27.9% compared to 0.0% in Mead.
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.