Demographics details for Suffolk, VA vs Byers, CO
Population Overview
Compare main population characteristics in Suffolk, VA vs Byers, CO.
| Data | Suffolk | Byers |
|---|---|---|
| Population | 98,537 | 1,635 |
| Median Age | 38.5 years | 29.4 years |
| Median Income | $87,758 | $93,750 |
| Married Families | 40.0% | 33.0% |
| Poverty Level | 7% | Data is updating |
| Unemployment Rate | 3.2 | 2.5 |
Population Comparison: Suffolk vs Byers
- In Suffolk, the population is higher at 98,537, compared to 1,635 in Byers.
- Residents in Suffolk have a higher median age of 38.5 years compared to 29.4 years in Byers.
- Byers has a higher median income of $93,750, compared to $87,758 in Suffolk.
- A higher percentage of married families is found in Suffolk at 40.0% compared to 33.0% in Byers.
- Suffolk has a higher poverty level at 7% compared to 0% in Byers.
- The unemployment rate in Suffolk is higher at 3.2%, compared to 2.5% in Byers.
Demographics
Demographics Suffolk vs Byers provide insight into the diversity of the communities to compare.
| Demographic | Suffolk | Byers |
|---|---|---|
| Black | 40 | Data is updating |
| White | 47 | 20 |
| Asian | 2 | Data is updating |
| Hispanic | 5 | 43 |
| Two or More Races | 6 | 36 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Suffolk vs Byers
- A higher percentage of Black residents are in Suffolk at 40% compared to 0% in Byers.
- Suffolk has a higher percentage of White residents at 47% compared to 20% in Byers.
- The Asian population is larger in Suffolk at 2% compared to 0% in Byers.
- Byers has a higher percentage of Hispanic residents at 43%, compared to 5% in Suffolk.
- The percentage of residents identifying as two or more races is higher in Byers at 36%, compared to 6% in Suffolk.
- In Byers, the percentage of American Indian residents is higher at 1%, compared to 0% in Suffolk.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Suffolk | Byers |
|---|---|---|
| Mental Health Not Good | 16.6% | 15.9% |
| Physical Health Not Good | 10.6% | 10.0% |
| Depression | 21.4% | 22.4% |
| Smoking | 15.3% | 16.2% |
| Binge Drinking | 16.6% | 20.1% |
| Obesity | 42.4% | 25.6% |
| Disability Percentage | 11.0% | 10.0% |
Health Statistics Comparison: Suffolk vs Byers
- More residents in Suffolk report poor mental health at 16.6% compared to 15.9% in Byers.
- Higher depression rates are seen in Byers at 22.4% versus 21.4% in Suffolk.
- Byers has a higher smoking rate at 16.2% compared to 15.3% in Suffolk.
- More residents engage in binge drinking in Byers at 20.1% compared to 16.6% in Suffolk.
- Obesity rates are higher in Suffolk at 42.4% compared to 25.6% in Byers.
- Disability percentages are higher in Suffolk 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 | Suffolk | Byers |
|---|---|---|
| No Schooling | 1.0% (965) | 1.0% (17) |
| High School Diploma | 14.9% (14,643) | 16.5% (270) |
| Less than High School | 7.8% (7,701) | 8.0% (130) |
| Bachelor's Degree and Higher | 21.0% (20,740) | 7.8% (128) |
Education Levels Comparison: Suffolk vs Byers
- The percentage of residents with no formal schooling is the same in both Suffolk and Byers at 1.0%.
- In Byers, the rate of residents with high school diplomas is higher at 16.5% compared to 14.9% in Suffolk.
- The percentage of residents with less than a high school education is higher in Byers at 8.0%, compared to 7.8% in Suffolk.
- A higher percentage of residents in Suffolk hold a bachelor's degree or higher at 21.0% 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.