Demographics details for Sioux city, IA vs Elm city, NC
Population Overview
Compare main population characteristics in Sioux city, IA vs Elm city, NC.
| Data | Sioux city | Elm city |
|---|---|---|
| Population | 85,497 | 1,204 |
| Median Age | 34.8 years | 48.0 years |
| Median Income | $64,250 | $48,125 |
| Married Families | 35.0% | 43.0% |
| Poverty Level | 10% | 15% |
| Unemployment Rate | 2.9 | 5.1 |
Population Comparison: Sioux city vs Elm city
- In Sioux city, the population is higher at 85,497, compared to 1,204 in Elm city.
- The median age in Elm city is higher at 48.0 years, compared to 34.8 years in Sioux city.
- Sioux city has a higher median income of $64,250 compared to $48,125 in Elm city.
- In Elm city, the percentage of married families is higher at 43.0%, compared to 35.0% in Sioux city.
- The poverty level is higher in Elm city at 15%, compared to 10% in Sioux city.
- Elm city has a higher unemployment rate at 5.1% compared to 2.9% in Sioux city.
Demographics
Demographics Sioux city vs Elm city provide insight into the diversity of the communities to compare.
| Demographic | Sioux city | Elm city |
|---|---|---|
| Black | 5 | 60 |
| White | 56 | 25 |
| Asian | 3 | 3 |
| Hispanic | 21 | 11 |
| Two or More Races | 13 | 1 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Sioux city vs Elm city
- In Elm city, the percentage of Black residents is higher at 60% compared to 5% in Sioux city.
- Sioux city has a higher percentage of White residents at 56% compared to 25% in Elm city.
- Both Sioux city and Elm city have the same percentage of Asian residents at 3%.
- The Hispanic community is larger in Sioux city at 21% compared to 11% in Elm city.
- More residents identify as two or more races in Sioux city at 13% compared to 1% in Elm city.
- A greater percentage of American Indian residents live in Sioux city at 2% compared to 0% in Elm city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sioux city | Elm city |
|---|---|---|
| Mental Health Not Good | 16.0% | 16.8% |
| Physical Health Not Good | 11.3% | 12.0% |
| Depression | 20.0% | 21.2% |
| Smoking | 20.1% | 18.8% |
| Binge Drinking | 20.9% | 15.7% |
| Obesity | 38.6% | 37.9% |
| Disability Percentage | 12.0% | 19.0% |
Health Statistics Comparison: Sioux city vs Elm city
- In Elm city, a higher percentage report poor mental health at 16.8% compared to 16.0% in Sioux city.
- Higher depression rates are seen in Elm city at 21.2% versus 20.0% in Sioux city.
- Smoking is more prevalent in Sioux city at 20.1% compared to 18.8% in Elm city.
- Binge drinking is more common in Sioux city at 20.9% compared to 15.7% in Elm city.
- Obesity rates are higher in Sioux city at 38.6% compared to 37.9% in Elm city.
- There is a higher percentage of disabled individuals in Elm city at 19.0% compared to 12.0% in Sioux city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sioux city | Elm city |
|---|---|---|
| No Schooling | 1.3% (1,129) | 0.7% (8) |
| High School Diploma | 17.3% (14,795) | 24.1% (290) |
| Less than High School | 16.1% (13,764) | 15.1% (182) |
| Bachelor's Degree and Higher | 14.1% (12,061) | 11.5% (139) |
Education Levels Comparison: Sioux city vs Elm city
- A higher percentage of residents in Sioux city have no formal schooling at 1.3% compared to 0.7% in Elm city.
- In Elm city, the rate of residents with high school diplomas is higher at 24.1% compared to 17.3% in Sioux city.
- More residents in Sioux city have less than a high school education at 16.1% compared to 15.1% in Elm city.
- A higher percentage of residents in Sioux city hold a bachelor's degree or higher at 14.1% 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.