Demographics details for Sioux falls, SD vs Cleveland, MS
Population Overview
Compare main population characteristics in Sioux falls, SD vs Cleveland, MS.
| Data | Sioux falls | Cleveland |
|---|---|---|
| Population | 202,078 | 10,545 |
| Median Age | 34.9 years | 33.8 years |
| Median Income | $71,785 | $42,005 |
| Married Families | 37.0% | 27.0% |
| Poverty Level | 11% | 24% |
| Unemployment Rate | 2.0 | 5.6 |
Population Comparison: Sioux falls vs Cleveland
- In Sioux falls, the population is higher at 202,078, compared to 10,545 in Cleveland.
- Residents in Sioux falls have a higher median age of 34.9 years compared to 33.8 years in Cleveland.
- Sioux falls has a higher median income of $71,785 compared to $42,005 in Cleveland.
- A higher percentage of married families is found in Sioux falls at 37.0% compared to 27.0% in Cleveland.
- The poverty level is higher in Cleveland at 24%, compared to 11% in Sioux falls.
- Cleveland has a higher unemployment rate at 5.6% compared to 2.0% in Sioux falls.
Demographics
Demographics Sioux falls vs Cleveland provide insight into the diversity of the communities to compare.
| Demographic | Sioux falls | Cleveland |
|---|---|---|
| Black | 7 | 56 |
| White | 78 | 36 |
| Asian | 2 | 2 |
| Hispanic | 5 | 1 |
| Two or More Races | 6 | 5 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Sioux falls vs Cleveland
- In Cleveland, the percentage of Black residents is higher at 56% compared to 7% in Sioux falls.
- Sioux falls has a higher percentage of White residents at 78% compared to 36% in Cleveland.
- Both Sioux falls and Cleveland have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Sioux falls at 5% compared to 1% in Cleveland.
- More residents identify as two or more races in Sioux falls at 6% compared to 5% in Cleveland.
- A greater percentage of American Indian residents live in Sioux falls at 2% compared to 0% in Cleveland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sioux falls | Cleveland |
|---|---|---|
| Mental Health Not Good | 13.3% | 17.6% |
| Physical Health Not Good | 8.8% | 13.8% |
| Depression | 19.4% | 20.4% |
| Smoking | 16.0% | 21.0% |
| Binge Drinking | 21.6% | 12.7% |
| Obesity | 35.8% | 41.4% |
| Disability Percentage | 9.0% | 20.0% |
Health Statistics Comparison: Sioux falls vs Cleveland
- In Cleveland, a higher percentage report poor mental health at 17.6% compared to 13.3% in Sioux falls.
- Higher depression rates are seen in Cleveland at 20.4% versus 19.4% in Sioux falls.
- Cleveland has a higher smoking rate at 21.0% compared to 16.0% in Sioux falls.
- Binge drinking is more common in Sioux falls at 21.6% compared to 12.7% in Cleveland.
- Cleveland has higher obesity rates at 41.4% compared to 35.8% in Sioux falls.
- There is a higher percentage of disabled individuals in Cleveland at 20.0% compared to 9.0% in Sioux falls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sioux falls | Cleveland |
|---|---|---|
| No Schooling | 0.8% (1,619) | 0.9% (99) |
| High School Diploma | 13.1% (26,548) | 10.0% (1,059) |
| Less than High School | 7.3% (14,743) | 13.3% (1,404) |
| Bachelor's Degree and Higher | 23.3% (47,034) | 21.3% (2,242) |
Education Levels Comparison: Sioux falls vs Cleveland
- In Cleveland, a larger percentage of residents lack formal schooling at 0.9% compared to 0.8% in Sioux falls.
- A higher percentage of residents in Sioux falls hold a high school diploma at 13.1% compared to 10.0% in Cleveland.
- The percentage of residents with less than a high school education is higher in Cleveland at 13.3%, compared to 7.3% in Sioux falls.
- A higher percentage of residents in Sioux falls hold a bachelor's degree or higher at 23.3% compared to 21.3% in Cleveland.
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.