Demographics details for Byers, CO vs White house, TN
Population Overview
Compare main population characteristics in Byers, CO vs White house, TN.
| Data | Byers | White house |
|---|---|---|
| Population | 1,635 | 14,516 |
| Median Age | 29.4 years | 36.5 years |
| Median Income | $93,750 | $85,404 |
| Married Families | 33.0% | 46.0% |
| Poverty Level | Data is updating | 7% |
| Unemployment Rate | 2.5 | 3.4 |
Population Comparison: Byers vs White house
- The population in White house is higher at 14,516, compared to 1,635 in Byers.
- The median age in White house is higher at 36.5 years, compared to 29.4 years in Byers.
- Byers has a higher median income of $93,750 compared to $85,404 in White house.
- In White house, the percentage of married families is higher at 46.0%, compared to 33.0% in Byers.
- The poverty level is higher in White house at 7%, compared to 0% in Byers.
- White house has a higher unemployment rate at 3.4% compared to 2.5% in Byers.
Demographics
Demographics Byers vs White house provide insight into the diversity of the communities to compare.
| Demographic | Byers | White house |
|---|---|---|
| Black | Data is updating | 2 |
| White | 20 | 87 |
| Asian | Data is updating | 1 |
| Hispanic | 43 | 4 |
| Two or More Races | 36 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Byers vs White house
- In White house, the percentage of Black residents is higher at 2% compared to 0% in Byers.
- The percentage of White residents is higher in White house at 87% compared to 20% in Byers.
- In White house, the Asian population stands at 1%, greater than 0% in Byers.
- The Hispanic community is larger in Byers at 43% compared to 4% in White house.
- More residents identify as two or more races in Byers at 36% compared to 6% in White house.
- A greater percentage of American Indian residents live in Byers at 1% compared to 0% in White house.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Byers | White house |
|---|---|---|
| Mental Health Not Good | 15.9% | 17.5% |
| Physical Health Not Good | 10.0% | 11.0% |
| Depression | 22.4% | 27.6% |
| Smoking | 16.2% | 17.7% |
| Binge Drinking | 20.1% | 16.7% |
| Obesity | 25.6% | 32.5% |
| Disability Percentage | 10.0% | 11.0% |
Health Statistics Comparison: Byers vs White house
- In White house, a higher percentage report poor mental health at 17.5% compared to 15.9% in Byers.
- Higher depression rates are seen in White house at 27.6% versus 22.4% in Byers.
- White house has a higher smoking rate at 17.7% compared to 16.2% in Byers.
- Binge drinking is more common in Byers at 20.1% compared to 16.7% in White house.
- White house has higher obesity rates at 32.5% compared to 25.6% in Byers.
- There is a higher percentage of disabled individuals in White house at 11.0% compared to 10.0% in Byers.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Byers | White house |
|---|---|---|
| No Schooling | 1.0% (17) | 0.2% (30) |
| High School Diploma | 16.5% (270) | 18.0% (2,617) |
| Less than High School | 8.0% (130) | 12.4% (1,794) |
| Bachelor's Degree and Higher | 7.8% (128) | 15.4% (2,235) |
Education Levels Comparison: Byers vs White house
- A higher percentage of residents in Byers have no formal schooling at 1.0% compared to 0.2% in White house.
- In White house, the rate of residents with high school diplomas is higher at 18.0% compared to 16.5% in Byers.
- The percentage of residents with less than a high school education is higher in White house at 12.4%, compared to 8.0% in Byers.
- In White house, a larger share of residents have a bachelor's degree or higher at 15.4% compared to 7.8% in Byers.
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.