Demographics details for Sitka, AK vs Cedar bluff, VA
Population Overview
Compare main population characteristics in Sitka, AK vs Cedar bluff, VA.
| Data | Sitka | Cedar bluff |
|---|---|---|
| Population | 8,382 | 1,045 |
| Median Age | 39.5 years | 48.9 years |
| Median Income | $95,261 | $41,094 |
| Married Families | 45.0% | 54.0% |
| Poverty Level | 8% | 8% |
| Unemployment Rate | 3.3 | 4.2 |
Population Comparison: Sitka vs Cedar bluff
- In Sitka, the population is higher at 8,382, compared to 1,045 in Cedar bluff.
- The median age in Cedar bluff is higher at 48.9 years, compared to 39.5 years in Sitka.
- Sitka has a higher median income of $95,261 compared to $41,094 in Cedar bluff.
- In Cedar bluff, the percentage of married families is higher at 54.0%, compared to 45.0% in Sitka.
- The poverty level is identical in both Sitka and Cedar bluff at 8%.
- Cedar bluff has a higher unemployment rate at 4.2% compared to 3.3% in Sitka.
Demographics
Demographics Sitka vs Cedar bluff provide insight into the diversity of the communities to compare.
| Demographic | Sitka | Cedar bluff |
|---|---|---|
| Black | 1 | Data is updating |
| White | 57 | 100 |
| Asian | 8 | Data is updating |
| Hispanic | 7 | Data is updating |
| Two or More Races | 18 | Data is updating |
| American Indian | 9 | Data is updating |
Demographics Comparison: Sitka vs Cedar bluff
- A higher percentage of Black residents are in Sitka at 1% compared to 0% in Cedar bluff.
- The percentage of White residents is higher in Cedar bluff at 100% compared to 57% in Sitka.
- The Asian population is larger in Sitka at 8% compared to 0% in Cedar bluff.
- The Hispanic community is larger in Sitka at 7% compared to 0% in Cedar bluff.
- More residents identify as two or more races in Sitka at 18% compared to 0% in Cedar bluff.
- A greater percentage of American Indian residents live in Sitka at 9% compared to 0% in Cedar bluff.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sitka | Cedar bluff |
|---|---|---|
| Mental Health Not Good | 14.6% | 19.8% |
| Physical Health Not Good | 10.3% | 13.5% |
| Depression | 18.7% | 28.4% |
| Smoking | 16.4% | 21.7% |
| Binge Drinking | 19.3% | 18.0% |
| Obesity | 31.7% | 36.2% |
| Disability Percentage | 13.0% | 22.0% |
Health Statistics Comparison: Sitka vs Cedar bluff
- In Cedar bluff, a higher percentage report poor mental health at 19.8% compared to 14.6% in Sitka.
- Higher depression rates are seen in Cedar bluff at 28.4% versus 18.7% in Sitka.
- Cedar bluff has a higher smoking rate at 21.7% compared to 16.4% in Sitka.
- Binge drinking is more common in Sitka at 19.3% compared to 18.0% in Cedar bluff.
- Cedar bluff has higher obesity rates at 36.2% compared to 31.7% in Sitka.
- There is a higher percentage of disabled individuals in Cedar bluff at 22.0% compared to 13.0% in Sitka.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sitka | Cedar bluff |
|---|---|---|
| No Schooling | 0.4% (33) | 0.0% (Data is updating) |
| High School Diploma | 16.7% (1,396) | 32.9% (344) |
| Less than High School | 5.8% (486) | 19.7% (206) |
| Bachelor's Degree and Higher | 24.8% (2,076) | 13.0% (136) |
Education Levels Comparison: Sitka vs Cedar bluff
- A higher percentage of residents in Sitka have no formal schooling at 0.4% compared to 0.0% in Cedar bluff.
- In Cedar bluff, the rate of residents with high school diplomas is higher at 32.9% compared to 16.7% in Sitka.
- The percentage of residents with less than a high school education is higher in Cedar bluff at 19.7%, compared to 5.8% in Sitka.
- A higher percentage of residents in Sitka hold a bachelor's degree or higher at 24.8% compared to 13.0% in Cedar bluff.
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.