Demographics details for Foster, OK vs Caneyville, KY
Population Overview
Compare main population characteristics in Foster, OK vs Caneyville, KY.
| Data | Foster | Caneyville |
|---|---|---|
| Population | 247 | 529 |
| Median Age | 38.8 years | 33.2 years |
| Median Income | $68,871 | $42,212 |
| Married Families | 47.0% | 41.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 2.5 | 4.5 |
Population Comparison: Foster vs Caneyville
- The population in Caneyville is higher at 529, compared to 247 in Foster.
- Residents in Foster have a higher median age of 38.8 years compared to 33.2 years in Caneyville.
- Foster has a higher median income of $68,871 compared to $42,212 in Caneyville.
- A higher percentage of married families is found in Foster at 47.0% compared to 41.0% in Caneyville.
- The poverty level is identical in both Foster and Caneyville at 12%.
- Caneyville has a higher unemployment rate at 4.5% compared to 2.5% in Foster.
Demographics
Demographics Foster vs Caneyville provide insight into the diversity of the communities to compare.
| Demographic | Foster | Caneyville |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 73 | 88 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 1 |
| Two or More Races | 20 | 11 |
| American Indian | 7 | Data is updating |
Demographics Comparison: Foster vs Caneyville
- The percentage of Black residents is the same in both Foster and Caneyville at 0%.
- The percentage of White residents is higher in Caneyville at 88% compared to 73% in Foster.
- Both Foster and Caneyville have the same percentage of Asian residents at 0%.
- Caneyville has a higher percentage of Hispanic residents at 1%, compared to 0% in Foster.
- More residents identify as two or more races in Foster at 20% compared to 11% in Caneyville.
- A greater percentage of American Indian residents live in Foster at 7% compared to 0% in Caneyville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Foster | Caneyville |
|---|---|---|
| Mental Health Not Good | 18.5% | 22.8% |
| Physical Health Not Good | 12.9% | 17.9% |
| Depression | 24.7% | 32.2% |
| Smoking | 21.6% | 29.7% |
| Binge Drinking | 15.3% | 13.7% |
| Obesity | 41.9% | 41.7% |
| Disability Percentage | 13.0% | 21.0% |
Health Statistics Comparison: Foster vs Caneyville
- In Caneyville, a higher percentage report poor mental health at 22.8% compared to 18.5% in Foster.
- Higher depression rates are seen in Caneyville at 32.2% versus 24.7% in Foster.
- Caneyville has a higher smoking rate at 29.7% compared to 21.6% in Foster.
- Binge drinking is more common in Foster at 15.3% compared to 13.7% in Caneyville.
- Obesity rates are higher in Foster at 41.9% compared to 41.7% in Caneyville.
- There is a higher percentage of disabled individuals in Caneyville at 21.0% compared to 13.0% in Foster.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Foster | Caneyville |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 30.4% (75) | 22.1% (117) |
| Less than High School | 8.1% (20) | 20.8% (110) |
| Bachelor's Degree and Higher | 22.3% (55) | 16.3% (86) |
Education Levels Comparison: Foster vs Caneyville
- The percentage of residents with no formal schooling is the same in both Foster and Caneyville at 0.0%.
- A higher percentage of residents in Foster hold a high school diploma at 30.4% compared to 22.1% in Caneyville.
- The percentage of residents with less than a high school education is higher in Caneyville at 20.8%, compared to 8.1% in Foster.
- A higher percentage of residents in Foster hold a bachelor's degree or higher at 22.3% compared to 16.3% in Caneyville.
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.