Demographics details for Sitka, AK vs Elm city, NC
Population Overview
Compare main population characteristics in Sitka, AK vs Elm city, NC.
| Data | Sitka | Elm city |
|---|---|---|
| Population | 8,382 | 1,204 |
| Median Age | 39.5 years | 48.0 years |
| Median Income | $95,261 | $48,125 |
| Married Families | 45.0% | 43.0% |
| Poverty Level | 8% | 15% |
| Unemployment Rate | 3.3 | 5.1 |
Population Comparison: Sitka vs Elm city
- In Sitka, the population is higher at 8,382, compared to 1,204 in Elm city.
- The median age in Elm city is higher at 48.0 years, compared to 39.5 years in Sitka.
- Sitka has a higher median income of $95,261 compared to $48,125 in Elm city.
- A higher percentage of married families is found in Sitka at 45.0% compared to 43.0% in Elm city.
- The poverty level is higher in Elm city at 15%, compared to 8% in Sitka.
- Elm city has a higher unemployment rate at 5.1% compared to 3.3% in Sitka.
Demographics
Demographics Sitka vs Elm city provide insight into the diversity of the communities to compare.
| Demographic | Sitka | Elm city |
|---|---|---|
| Black | 1 | 60 |
| White | 57 | 25 |
| Asian | 8 | 3 |
| Hispanic | 7 | 11 |
| Two or More Races | 18 | 1 |
| American Indian | 9 | Data is updating |
Demographics Comparison: Sitka vs Elm city
- In Elm city, the percentage of Black residents is higher at 60% compared to 1% in Sitka.
- Sitka has a higher percentage of White residents at 57% compared to 25% in Elm city.
- The Asian population is larger in Sitka at 8% compared to 3% in Elm city.
- Elm city has a higher percentage of Hispanic residents at 11%, compared to 7% in Sitka.
- More residents identify as two or more races in Sitka at 18% compared to 1% in Elm city.
- A greater percentage of American Indian residents live in Sitka at 9% compared to 0% in Elm city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sitka | Elm city |
|---|---|---|
| Mental Health Not Good | 14.6% | 16.8% |
| Physical Health Not Good | 10.3% | 12.0% |
| Depression | 18.7% | 21.2% |
| Smoking | 16.4% | 18.8% |
| Binge Drinking | 19.3% | 15.7% |
| Obesity | 31.7% | 37.9% |
| Disability Percentage | 13.0% | 19.0% |
Health Statistics Comparison: Sitka vs Elm city
- In Elm city, a higher percentage report poor mental health at 16.8% compared to 14.6% in Sitka.
- Higher depression rates are seen in Elm city at 21.2% versus 18.7% in Sitka.
- Elm city has a higher smoking rate at 18.8% compared to 16.4% in Sitka.
- Binge drinking is more common in Sitka at 19.3% compared to 15.7% in Elm city.
- Elm city has higher obesity rates at 37.9% compared to 31.7% in Sitka.
- There is a higher percentage of disabled individuals in Elm city at 19.0% 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 | Elm city |
|---|---|---|
| No Schooling | 0.4% (33) | 0.7% (8) |
| High School Diploma | 16.7% (1,396) | 24.1% (290) |
| Less than High School | 5.8% (486) | 15.1% (182) |
| Bachelor's Degree and Higher | 24.8% (2,076) | 11.5% (139) |
Education Levels Comparison: Sitka vs Elm city
- In Elm city, a larger percentage of residents lack formal schooling at 0.7% compared to 0.4% in Sitka.
- In Elm city, the rate of residents with high school diplomas is higher at 24.1% compared to 16.7% in Sitka.
- The percentage of residents with less than a high school education is higher in Elm city at 15.1%, 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 11.5% in Elm city.
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.