Demographics details for Sioux city, IA vs Oxford, AL
Population Overview
Compare main population characteristics in Sioux city, IA vs Oxford, AL.
Data | Sioux city | Oxford |
---|---|---|
Population | 85,497 | 22,002 |
Median Age | 34.8 years | 37.4 years |
Median Income | $64,250 | $66,031 |
Married Families | 35.0% | 37.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 2.9 | 3.5 |
Population Comparison: Sioux city vs Oxford
- In Sioux city, the population is higher at 85,497, compared to 22,002 in Oxford.
- The median age in Oxford is higher at 37.4 years, compared to 34.8 years in Sioux city.
- Oxford has a higher median income of $66,031, compared to $64,250 in Sioux city.
- In Oxford, the percentage of married families is higher at 37.0%, compared to 35.0% in Sioux city.
- The poverty level is identical in both Sioux city and Oxford at 10%.
- Oxford has a higher unemployment rate at 3.5% compared to 2.9% in Sioux city.
Demographics
Demographics Sioux city vs Oxford provide insight into the diversity of the communities to compare.
Demographic | Sioux city | Oxford |
---|---|---|
Black | 5 | 16 |
White | 56 | 73 |
Asian | 3 | 1 |
Hispanic | 21 | 7 |
Two or More Races | 13 | 3 |
American Indian | 2 | Data is updating |
Demographics Comparison: Sioux city vs Oxford
- In Oxford, the percentage of Black residents is higher at 16% compared to 5% in Sioux city.
- The percentage of White residents is higher in Oxford at 73% compared to 56% in Sioux city.
- The Asian population is larger in Sioux city at 3% compared to 1% in Oxford.
- The Hispanic community is larger in Sioux city at 21% compared to 7% in Oxford.
- More residents identify as two or more races in Sioux city at 13% compared to 3% in Oxford.
- A greater percentage of American Indian residents live in Sioux city at 2% compared to 0% in Oxford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sioux city | Oxford |
---|---|---|
Mental Health Not Good | 16.0% | 18.8% |
Physical Health Not Good | 11.3% | 13.2% |
Depression | 20.0% | 23.8% |
Smoking | 20.1% | 19.8% |
Binge Drinking | 20.9% | 15.1% |
Obesity | 38.6% | 37.4% |
Disability Percentage | 12.0% | 19.0% |
Health Statistics Comparison: Sioux city vs Oxford
- In Oxford, a higher percentage report poor mental health at 18.8% compared to 16.0% in Sioux city.
- Higher depression rates are seen in Oxford at 23.8% versus 20.0% in Sioux city.
- Smoking is more prevalent in Sioux city at 20.1% compared to 19.8% in Oxford.
- Binge drinking is more common in Sioux city at 20.9% compared to 15.1% in Oxford.
- Obesity rates are higher in Sioux city at 38.6% compared to 37.4% in Oxford.
- There is a higher percentage of disabled individuals in Oxford 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 | Oxford |
---|---|---|
No Schooling | 1.3% (1,129) | 1.4% (306) |
High School Diploma | 17.3% (14,795) | 16.1% (3,534) |
Less than High School | 16.1% (13,764) | 17.9% (3,933) |
Bachelor's Degree and Higher | 14.1% (12,061) | 16.5% (3,625) |
Education Levels Comparison: Sioux city vs Oxford
- In Oxford, a larger percentage of residents lack formal schooling at 1.4% compared to 1.3% in Sioux city.
- A higher percentage of residents in Sioux city hold a high school diploma at 17.3% compared to 16.1% in Oxford.
- The percentage of residents with less than a high school education is higher in Oxford at 17.9%, compared to 16.1% in Sioux city.
- In Oxford, a larger share of residents have a bachelor's degree or higher at 16.5% 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.