Demographics details for Tea, SD vs Caneyville, KY
Population Overview
Compare main population characteristics in Tea, SD vs Caneyville, KY.
| Data | Tea | Caneyville |
|---|---|---|
| Population | 6,918 | 529 |
| Median Age | 30.2 years | 33.2 years |
| Median Income | $99,153 | $42,212 |
| Married Families | 39.0% | 41.0% |
| Poverty Level | 6% | 12% |
| Unemployment Rate | 2.5 | 4.5 |
Population Comparison: Tea vs Caneyville
- In Tea, the population is higher at 6,918, compared to 529 in Caneyville.
- The median age in Caneyville is higher at 33.2 years, compared to 30.2 years in Tea.
- Tea has a higher median income of $99,153 compared to $42,212 in Caneyville.
- In Caneyville, the percentage of married families is higher at 41.0%, compared to 39.0% in Tea.
- The poverty level is higher in Caneyville at 12%, compared to 6% in Tea.
- Caneyville has a higher unemployment rate at 4.5% compared to 2.5% in Tea.
Demographics
Demographics Tea vs Caneyville provide insight into the diversity of the communities to compare.
| Demographic | Tea | Caneyville |
|---|---|---|
| Black | 2 | Data is updating |
| White | 95 | 88 |
| Asian | 1 | Data is updating |
| Hispanic | Data is updating | 1 |
| Two or More Races | 2 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Tea vs Caneyville
- A higher percentage of Black residents are in Tea at 2% compared to 0% in Caneyville.
- Tea has a higher percentage of White residents at 95% compared to 88% in Caneyville.
- The Asian population is larger in Tea at 1% compared to 0% in Caneyville.
- Caneyville has a higher percentage of Hispanic residents at 1%, compared to 0% in Tea.
- The percentage of residents identifying as two or more races is higher in Caneyville at 11%, compared to 2% in Tea.
- The percentage of American Indian residents is the same in both Tea and Caneyville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tea | Caneyville |
|---|---|---|
| Mental Health Not Good | 11.3% | 22.8% |
| Physical Health Not Good | 7.7% | 17.9% |
| Depression | 16.6% | 32.2% |
| Smoking | 12.6% | 29.7% |
| Binge Drinking | 21.6% | 13.7% |
| Obesity | 34.5% | 41.7% |
| Disability Percentage | 4.0% | 21.0% |
Health Statistics Comparison: Tea vs Caneyville
- In Caneyville, a higher percentage report poor mental health at 22.8% compared to 11.3% in Tea.
- Higher depression rates are seen in Caneyville at 32.2% versus 16.6% in Tea.
- Caneyville has a higher smoking rate at 29.7% compared to 12.6% in Tea.
- Binge drinking is more common in Tea at 21.6% compared to 13.7% in Caneyville.
- Caneyville has higher obesity rates at 41.7% compared to 34.5% in Tea.
- There is a higher percentage of disabled individuals in Caneyville at 21.0% compared to 4.0% in Tea.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Tea | Caneyville |
|---|---|---|
| No Schooling | 0.1% (10) | 0.0% (Data is updating) |
| High School Diploma | 7.8% (537) | 22.1% (117) |
| Less than High School | 1.6% (108) | 20.8% (110) |
| Bachelor's Degree and Higher | 19.9% (1,378) | 16.3% (86) |
Education Levels Comparison: Tea vs Caneyville
- A higher percentage of residents in Tea have no formal schooling at 0.1% compared to 0.0% in Caneyville.
- In Caneyville, the rate of residents with high school diplomas is higher at 22.1% compared to 7.8% in Tea.
- The percentage of residents with less than a high school education is higher in Caneyville at 20.8%, compared to 1.6% in Tea.
- A higher percentage of residents in Tea hold a bachelor's degree or higher at 19.9% 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.