Demographics details for Butler, WI vs Sioux falls, SD
Population Overview
Compare main population characteristics in Butler, WI vs Sioux falls, SD.
Data | Butler | Sioux falls |
---|---|---|
Population | 1,811 | 202,078 |
Median Age | 38.0 years | 34.9 years |
Median Income | $65,000 | $71,785 |
Married Families | 52.0% | 37.0% |
Poverty Level | 5% | 11% |
Unemployment Rate | 3.5 | 2.0 |
Population Comparison: Butler vs Sioux falls
- The population in Sioux falls is higher at 202,078, compared to 1,811 in Butler.
- Residents in Butler have a higher median age of 38.0 years compared to 34.9 years in Sioux falls.
- Sioux falls has a higher median income of $71,785, compared to $65,000 in Butler.
- A higher percentage of married families is found in Butler at 52.0% compared to 37.0% in Sioux falls.
- The poverty level is higher in Sioux falls at 11%, compared to 5% in Butler.
- The unemployment rate in Butler is higher at 3.5%, compared to 2.0% in Sioux falls.
Demographics
Demographics Butler vs Sioux falls provide insight into the diversity of the communities to compare.
Demographic | Butler | Sioux falls |
---|---|---|
Black | 2 | 7 |
White | 88 | 78 |
Asian | 5 | 2 |
Hispanic | 3 | 5 |
Two or More Races | 2 | 6 |
American Indian | Data is updating | 2 |
Demographics Comparison: Butler vs Sioux falls
- In Sioux falls, the percentage of Black residents is higher at 7% compared to 2% in Butler.
- Butler has a higher percentage of White residents at 88% compared to 78% in Sioux falls.
- The Asian population is larger in Butler at 5% compared to 2% in Sioux falls.
- Sioux falls has a higher percentage of Hispanic residents at 5%, compared to 3% in Butler.
- The percentage of residents identifying as two or more races is higher in Sioux falls at 6%, compared to 2% in Butler.
- In Sioux falls, the percentage of American Indian residents is higher at 2%, compared to 0% in Butler.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Butler | Sioux falls |
---|---|---|
Mental Health Not Good | Data is updating% | 13.3% |
Physical Health Not Good | Data is updating% | 8.8% |
Depression | Data is updating% | 19.4% |
Smoking | Data is updating% | 16.0% |
Binge Drinking | Data is updating% | 21.6% |
Obesity | Data is updating% | 35.8% |
Disability Percentage | Data is updating% | 9.0% |
Health Statistics Comparison: Butler vs Sioux falls
- In Sioux falls, a higher percentage report poor mental health at 13.3% compared to 0.0% in Butler.
- Higher depression rates are seen in Sioux falls at 19.4% versus 0.0% in Butler.
- Sioux falls has a higher smoking rate at 16.0% compared to 0.0% in Butler.
- More residents engage in binge drinking in Sioux falls at 21.6% compared to 0.0% in Butler.
- Sioux falls has higher obesity rates at 35.8% compared to 0.0% in Butler.
- There is a higher percentage of disabled individuals in Sioux falls at 9.0% compared to 0.0% in Butler.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Butler | Sioux falls |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.8% (1,619) |
High School Diploma | 0.0% (Data is updating) | 13.1% (26,548) |
Less than High School | 0.0% (Data is updating) | 7.3% (14,743) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 23.3% (47,034) |
Education Levels Comparison: Butler vs Sioux falls
- In Sioux falls, a larger percentage of residents lack formal schooling at 0.8% compared to 0.0% in Butler.
- In Sioux falls, the rate of residents with high school diplomas is higher at 13.1% compared to 0.0% in Butler.
- The percentage of residents with less than a high school education is higher in Sioux falls at 7.3%, compared to 0.0% in Butler.
- In Sioux falls, a larger share of residents have a bachelor's degree or higher at 23.3% compared to 0.0% in Butler.
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.