Demographics details for Sioux city, IA vs Columbia, MO
Population Overview
Compare main population characteristics in Sioux city, IA vs Columbia, MO.
| Data | Sioux city | Columbia |
|---|---|---|
| Population | 85,497 | 128,555 |
| Median Age | 34.8 years | 28.8 years |
| Median Income | $64,250 | $60,455 |
| Married Families | 35.0% | 32.0% |
| Poverty Level | 10% | 19% |
| Unemployment Rate | 2.9 | 3.8 |
Population Comparison: Sioux city vs Columbia
- The population in Columbia is higher at 128,555, compared to 85,497 in Sioux city.
- Residents in Sioux city have a higher median age of 34.8 years compared to 28.8 years in Columbia.
- Sioux city has a higher median income of $64,250 compared to $60,455 in Columbia.
- A higher percentage of married families is found in Sioux city at 35.0% compared to 32.0% in Columbia.
- The poverty level is higher in Columbia at 19%, compared to 10% in Sioux city.
- Columbia has a higher unemployment rate at 3.8% compared to 2.9% in Sioux city.
Demographics
Demographics Sioux city vs Columbia provide insight into the diversity of the communities to compare.
| Demographic | Sioux city | Columbia |
|---|---|---|
| Black | 5 | 11 |
| White | 56 | 73 |
| Asian | 3 | 6 |
| Hispanic | 21 | 4 |
| Two or More Races | 13 | 6 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Sioux city vs Columbia
- In Columbia, the percentage of Black residents is higher at 11% compared to 5% in Sioux city.
- The percentage of White residents is higher in Columbia at 73% compared to 56% in Sioux city.
- In Columbia, the Asian population stands at 6%, greater than 3% in Sioux city.
- The Hispanic community is larger in Sioux city at 21% compared to 4% in Columbia.
- More residents identify as two or more races in Sioux city at 13% compared to 6% in Columbia.
- A greater percentage of American Indian residents live in Sioux city at 2% compared to 0% in Columbia.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sioux city | Columbia |
|---|---|---|
| Mental Health Not Good | 16.0% | 16.7% |
| Physical Health Not Good | 11.3% | 11.4% |
| Depression | 20.0% | 25.3% |
| Smoking | 20.1% | 16.3% |
| Binge Drinking | 20.9% | 17.7% |
| Obesity | 38.6% | 33.5% |
| Disability Percentage | 12.0% | 11.0% |
Health Statistics Comparison: Sioux city vs Columbia
- In Columbia, a higher percentage report poor mental health at 16.7% compared to 16.0% in Sioux city.
- Higher depression rates are seen in Columbia at 25.3% versus 20.0% in Sioux city.
- Smoking is more prevalent in Sioux city at 20.1% compared to 16.3% in Columbia.
- Binge drinking is more common in Sioux city at 20.9% compared to 17.7% in Columbia.
- Obesity rates are higher in Sioux city at 38.6% compared to 33.5% in Columbia.
- Disability percentages are higher in Sioux city at 12.0% compared to 11.0% in Columbia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sioux city | Columbia |
|---|---|---|
| No Schooling | 1.3% (1,129) | 0.7% (845) |
| High School Diploma | 17.3% (14,795) | 7.8% (9,965) |
| Less than High School | 16.1% (13,764) | 4.2% (5,383) |
| Bachelor's Degree and Higher | 14.1% (12,061) | 30.5% (39,270) |
Education Levels Comparison: Sioux city vs Columbia
- A higher percentage of residents in Sioux city have no formal schooling at 1.3% compared to 0.7% in Columbia.
- A higher percentage of residents in Sioux city hold a high school diploma at 17.3% compared to 7.8% in Columbia.
- More residents in Sioux city have less than a high school education at 16.1% compared to 4.2% in Columbia.
- In Columbia, a larger share of residents have a bachelor's degree or higher at 30.5% compared to 14.1% in Sioux 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.