Demographics details for Bixby, OK vs Spring city, PA
Population Overview
Compare main population characteristics in Bixby, OK vs Spring city, PA.
| Data | Bixby | Spring city |
|---|---|---|
| Population | 29,800 | 3,495 |
| Median Age | 36.8 years | 36.7 years |
| Median Income | $93,765 | $70,181 |
| Married Families | 44.0% | 30.0% |
| Poverty Level | 5% | 5% |
| Unemployment Rate | 3.3 | 2.5 |
Population Comparison: Bixby vs Spring city
- In Bixby, the population is higher at 29,800, compared to 3,495 in Spring city.
- Residents in Bixby have a higher median age of 36.8 years compared to 36.7 years in Spring city.
- Bixby has a higher median income of $93,765 compared to $70,181 in Spring city.
- A higher percentage of married families is found in Bixby at 44.0% compared to 30.0% in Spring city.
- The poverty level is identical in both Bixby and Spring city at 5%.
- The unemployment rate in Bixby is higher at 3.3%, compared to 2.5% in Spring city.
Demographics
Demographics Bixby vs Spring city provide insight into the diversity of the communities to compare.
| Demographic | Bixby | Spring city |
|---|---|---|
| Black | 2 | 4 |
| White | 71 | 85 |
| Asian | 4 | 2 |
| Hispanic | 7 | 6 |
| Two or More Races | 11 | 3 |
| American Indian | 5 | Data is updating |
Demographics Comparison: Bixby vs Spring city
- In Spring city, the percentage of Black residents is higher at 4% compared to 2% in Bixby.
- The percentage of White residents is higher in Spring city at 85% compared to 71% in Bixby.
- The Asian population is larger in Bixby at 4% compared to 2% in Spring city.
- The Hispanic community is larger in Bixby at 7% compared to 6% in Spring city.
- More residents identify as two or more races in Bixby at 11% compared to 3% in Spring city.
- A greater percentage of American Indian residents live in Bixby at 5% compared to 0% in Spring city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bixby | Spring city |
|---|---|---|
| Mental Health Not Good | 15.8% | 15.8% |
| Physical Health Not Good | 9.2% | 10.8% |
| Depression | 24.5% | 23.0% |
| Smoking | 12.8% | 16.9% |
| Binge Drinking | 15.7% | 18.9% |
| Obesity | 32.1% | 34.8% |
| Disability Percentage | 8.0% | 20.0% |
Health Statistics Comparison: Bixby vs Spring city
- Poor mental health levels are equal in both Bixby and Spring city at 15.8%.
- Depression is more prevalent in Bixby at 24.5% compared to 23.0% in Spring city.
- Spring city has a higher smoking rate at 16.9% compared to 12.8% in Bixby.
- More residents engage in binge drinking in Spring city at 18.9% compared to 15.7% in Bixby.
- Spring city has higher obesity rates at 34.8% compared to 32.1% in Bixby.
- There is a higher percentage of disabled individuals in Spring city at 20.0% compared to 8.0% in Bixby.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bixby | Spring city |
|---|---|---|
| No Schooling | 0.5% (154) | 1.0% (34) |
| High School Diploma | 10.8% (3,233) | 17.5% (613) |
| Less than High School | 5.5% (1,652) | 8.8% (309) |
| Bachelor's Degree and Higher | 27.9% (8,313) | 28.0% (980) |
Education Levels Comparison: Bixby vs Spring city
- In Spring city, a larger percentage of residents lack formal schooling at 1.0% compared to 0.5% in Bixby.
- In Spring city, the rate of residents with high school diplomas is higher at 17.5% compared to 10.8% in Bixby.
- The percentage of residents with less than a high school education is higher in Spring city at 8.8%, compared to 5.5% in Bixby.
- In Spring city, a larger share of residents have a bachelor's degree or higher at 28.0% compared to 27.9% in Bixby.
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.