Demographics details for White swan, WA vs Cochran, GA
Population Overview
Compare main population characteristics in White swan, WA vs Cochran, GA.
Data | White swan | Cochran |
---|---|---|
Population | 561 | 4,647 |
Median Age | 24.5 years | 28.9 years |
Median Income | $51,667 | $31,326 |
Married Families | 13.0% | 25.0% |
Poverty Level | 12% | 19% |
Unemployment Rate | 8.2 | 3.2 |
Population Comparison: White swan vs Cochran
- The population in Cochran is higher at 4,647, compared to 561 in White swan.
- The median age in Cochran is higher at 28.9 years, compared to 24.5 years in White swan.
- White swan has a higher median income of $51,667 compared to $31,326 in Cochran.
- In Cochran, the percentage of married families is higher at 25.0%, compared to 13.0% in White swan.
- The poverty level is higher in Cochran at 19%, compared to 12% in White swan.
- The unemployment rate in White swan is higher at 8.2%, compared to 3.2% in Cochran.
Demographics
Demographics White swan vs Cochran provide insight into the diversity of the communities to compare.
Demographic | White swan | Cochran |
---|---|---|
Black | Data is updating | 53 |
White | -6 | 40 |
Asian | Data is updating | 2 |
Hispanic | 26 | 2 |
Two or More Races | 10 | 3 |
American Indian | 70 | Data is updating |
Demographics Comparison: White swan vs Cochran
- In Cochran, the percentage of Black residents is higher at 53% compared to 0% in White swan.
- The percentage of White residents is higher in Cochran at 40% compared to -6% in White swan.
- In Cochran, the Asian population stands at 2%, greater than 0% in White swan.
- The Hispanic community is larger in White swan at 26% compared to 2% in Cochran.
- More residents identify as two or more races in White swan at 10% compared to 3% in Cochran.
- A greater percentage of American Indian residents live in White swan at 70% compared to 0% in Cochran.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | White swan | Cochran |
---|---|---|
Mental Health Not Good | 22.0% | 18.3% |
Physical Health Not Good | 18.1% | 13.7% |
Depression | 24.7% | 21.8% |
Smoking | 26.0% | 20.0% |
Binge Drinking | 15.8% | 13.6% |
Obesity | 43.8% | 38.5% |
Disability Percentage | 21.0% | 16.0% |
Health Statistics Comparison: White swan vs Cochran
- More residents in White swan report poor mental health at 22.0% compared to 18.3% in Cochran.
- Depression is more prevalent in White swan at 24.7% compared to 21.8% in Cochran.
- Smoking is more prevalent in White swan at 26.0% compared to 20.0% in Cochran.
- Binge drinking is more common in White swan at 15.8% compared to 13.6% in Cochran.
- Obesity rates are higher in White swan at 43.8% compared to 38.5% in Cochran.
- Disability percentages are higher in White swan at 21.0% compared to 16.0% in Cochran.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | White swan | Cochran |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.2% (54) |
High School Diploma | 16.4% (92) | 12.2% (569) |
Less than High School | 24.8% (139) | 15.1% (703) |
Bachelor's Degree and Higher | 0.9% (5) | 12.7% (592) |
Education Levels Comparison: White swan vs Cochran
- In Cochran, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in White swan.
- A higher percentage of residents in White swan hold a high school diploma at 16.4% compared to 12.2% in Cochran.
- More residents in White swan have less than a high school education at 24.8% compared to 15.1% in Cochran.
- In Cochran, a larger share of residents have a bachelor's degree or higher at 12.7% compared to 0.9% in White swan.
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.