Demographics details for Baring, MO vs Sioux city, IA
Population Overview
Compare main population characteristics in Baring, MO vs Sioux city, IA.
Data | Baring | Sioux city |
---|---|---|
Population | 123 | 85,497 |
Median Age | 46.0 years | 34.8 years |
Median Income | $38,750 | $64,250 |
Married Families | 8.0% | 35.0% |
Poverty Level | 14% | 10% |
Unemployment Rate | 3.5 | 2.9 |
Population Comparison: Baring vs Sioux city
- The population in Sioux city is higher at 85,497, compared to 123 in Baring.
- Residents in Baring have a higher median age of 46.0 years compared to 34.8 years in Sioux city.
- Sioux city has a higher median income of $64,250, compared to $38,750 in Baring.
- In Sioux city, the percentage of married families is higher at 35.0%, compared to 8.0% in Baring.
- Baring has a higher poverty level at 14% compared to 10% in Sioux city.
- The unemployment rate in Baring is higher at 3.5%, compared to 2.9% in Sioux city.
Demographics
Demographics Baring vs Sioux city provide insight into the diversity of the communities to compare.
Demographic | Baring | Sioux city |
---|---|---|
Black | Data is updating | 5 |
White | 100 | 56 |
Asian | Data is updating | 3 |
Hispanic | Data is updating | 21 |
Two or More Races | Data is updating | 13 |
American Indian | Data is updating | 2 |
Demographics Comparison: Baring vs Sioux city
- In Sioux city, the percentage of Black residents is higher at 5% compared to 0% in Baring.
- Baring has a higher percentage of White residents at 100% compared to 56% in Sioux city.
- In Sioux city, the Asian population stands at 3%, greater than 0% in Baring.
- Sioux city has a higher percentage of Hispanic residents at 21%, compared to 0% in Baring.
- The percentage of residents identifying as two or more races is higher in Sioux city at 13%, compared to 0% in Baring.
- In Sioux city, the percentage of American Indian residents is higher at 2%, compared to 0% in Baring.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Baring | Sioux city |
---|---|---|
Mental Health Not Good | 20.2% | 16.0% |
Physical Health Not Good | 15.1% | 11.3% |
Depression | 27.0% | 20.0% |
Smoking | 25.5% | 20.1% |
Binge Drinking | 16.3% | 20.9% |
Obesity | 41.9% | 38.6% |
Disability Percentage | 2.0% | 12.0% |
Health Statistics Comparison: Baring vs Sioux city
- More residents in Baring report poor mental health at 20.2% compared to 16.0% in Sioux city.
- Depression is more prevalent in Baring at 27.0% compared to 20.0% in Sioux city.
- Smoking is more prevalent in Baring at 25.5% compared to 20.1% in Sioux city.
- More residents engage in binge drinking in Sioux city at 20.9% compared to 16.3% in Baring.
- Obesity rates are higher in Baring at 41.9% compared to 38.6% in Sioux city.
- There is a higher percentage of disabled individuals in Sioux city at 12.0% compared to 2.0% in Baring.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Baring | Sioux city |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.3% (1,129) |
High School Diploma | 12.2% (15) | 17.3% (14,795) |
Less than High School | 0.0% (Data is updating) | 16.1% (13,764) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 14.1% (12,061) |
Education Levels Comparison: Baring vs Sioux city
- In Sioux city, a larger percentage of residents lack formal schooling at 1.3% compared to 0.0% in Baring.
- In Sioux city, the rate of residents with high school diplomas is higher at 17.3% compared to 12.2% in Baring.
- The percentage of residents with less than a high school education is higher in Sioux city at 16.1%, compared to 0.0% in Baring.
- In Sioux city, a larger share of residents have a bachelor's degree or higher at 14.1% compared to 0.0% in Baring.
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.