Demographics details for South windsor, CT vs Bixby, OK
Population Overview
Compare main population characteristics in South windsor, CT vs Bixby, OK.
Data | South windsor | Bixby |
---|---|---|
Population | 26,054 | 29,800 |
Median Age | 42.0 years | 36.8 years |
Median Income | $90,964 | $93,765 |
Married Families | 62.0% | 44.0% |
Poverty Level | 5% | 5% |
Unemployment Rate | 2.2 | 3.3 |
Population Comparison: South windsor vs Bixby
- The population in Bixby is higher at 29,800, compared to 26,054 in South windsor.
- Residents in South windsor have a higher median age of 42.0 years compared to 36.8 years in Bixby.
- Bixby has a higher median income of $93,765, compared to $90,964 in South windsor.
- A higher percentage of married families is found in South windsor at 62.0% compared to 44.0% in Bixby.
- The poverty level is identical in both South windsor and Bixby at 5%.
- Bixby has a higher unemployment rate at 3.3% compared to 2.2% in South windsor.
Demographics
Demographics South windsor vs Bixby provide insight into the diversity of the communities to compare.
Demographic | South windsor | Bixby |
---|---|---|
Black | 9 | 2 |
White | 85 | 71 |
Asian | 3 | 4 |
Hispanic | 3 | 7 |
Two or More Races | 2 | 11 |
American Indian | Data is updating | 5 |
Demographics Comparison: South windsor vs Bixby
- A higher percentage of Black residents are in South windsor at 9% compared to 2% in Bixby.
- South windsor has a higher percentage of White residents at 85% compared to 71% in Bixby.
- In Bixby, the Asian population stands at 4%, greater than 3% in South windsor.
- Bixby has a higher percentage of Hispanic residents at 7%, compared to 3% in South windsor.
- The percentage of residents identifying as two or more races is higher in Bixby at 11%, compared to 2% in South windsor.
- In Bixby, the percentage of American Indian residents is higher at 5%, compared to 0% in South windsor.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | South windsor | 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: South windsor vs Bixby
- In Bixby, a higher percentage report poor mental health at 15.8% compared to 0.0% in South windsor.
- Higher depression rates are seen in Bixby at 24.5% versus 0.0% in South windsor.
- Bixby has a higher smoking rate at 12.8% compared to 0.0% in South windsor.
- More residents engage in binge drinking in Bixby at 15.7% compared to 0.0% in South windsor.
- Bixby has higher obesity rates at 32.1% compared to 0.0% in South windsor.
- There is a higher percentage of disabled individuals in Bixby at 8.0% compared to 0.0% in South windsor.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | South windsor | 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: South windsor vs Bixby
- In Bixby, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in South windsor.
- In Bixby, the rate of residents with high school diplomas is higher at 10.8% compared to 0.0% in South windsor.
- The percentage of residents with less than a high school education is higher in Bixby at 5.5%, compared to 0.0% in South windsor.
- In Bixby, a larger share of residents have a bachelor's degree or higher at 27.9% compared to 0.0% in South windsor.
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.