Demographics details for Sioux falls, SD vs Chesapeake, VA
Population Overview
Compare main population characteristics in Sioux falls, SD vs Chesapeake, VA.
| Data | Sioux falls | Chesapeake |
|---|---|---|
| Population | 202,078 | 252,488 |
| Median Age | 34.9 years | 37.4 years |
| Median Income | $71,785 | $92,703 |
| Married Families | 37.0% | 43.0% |
| Poverty Level | 11% | 8% |
| Unemployment Rate | 2.0 | 3.0 |
Population Comparison: Sioux falls vs Chesapeake
- The population in Chesapeake is higher at 252,488, compared to 202,078 in Sioux falls.
- The median age in Chesapeake is higher at 37.4 years, compared to 34.9 years in Sioux falls.
- Chesapeake has a higher median income of $92,703, compared to $71,785 in Sioux falls.
- In Chesapeake, the percentage of married families is higher at 43.0%, compared to 37.0% in Sioux falls.
- Sioux falls has a higher poverty level at 11% compared to 8% in Chesapeake.
- Chesapeake has a higher unemployment rate at 3.0% compared to 2.0% in Sioux falls.
Demographics
Demographics Sioux falls vs Chesapeake provide insight into the diversity of the communities to compare.
| Demographic | Sioux falls | Chesapeake |
|---|---|---|
| Black | 7 | 29 |
| White | 78 | 53 |
| Asian | 2 | 4 |
| Hispanic | 5 | 7 |
| Two or More Races | 6 | 7 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Sioux falls vs Chesapeake
- In Chesapeake, the percentage of Black residents is higher at 29% compared to 7% in Sioux falls.
- Sioux falls has a higher percentage of White residents at 78% compared to 53% in Chesapeake.
- In Chesapeake, the Asian population stands at 4%, greater than 2% in Sioux falls.
- Chesapeake has a higher percentage of Hispanic residents at 7%, compared to 5% in Sioux falls.
- The percentage of residents identifying as two or more races is higher in Chesapeake at 7%, compared to 6% in Sioux falls.
- A greater percentage of American Indian residents live in Sioux falls at 2% compared to 0% in Chesapeake.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sioux falls | Chesapeake |
|---|---|---|
| Mental Health Not Good | 13.3% | 15.9% |
| Physical Health Not Good | 8.8% | 10.0% |
| Depression | 19.4% | 20.9% |
| Smoking | 16.0% | 14.8% |
| Binge Drinking | 21.6% | 16.1% |
| Obesity | 35.8% | 36.1% |
| Disability Percentage | 9.0% | 11.0% |
Health Statistics Comparison: Sioux falls vs Chesapeake
- In Chesapeake, a higher percentage report poor mental health at 15.9% compared to 13.3% in Sioux falls.
- Higher depression rates are seen in Chesapeake at 20.9% versus 19.4% in Sioux falls.
- Smoking is more prevalent in Sioux falls at 16.0% compared to 14.8% in Chesapeake.
- Binge drinking is more common in Sioux falls at 21.6% compared to 16.1% in Chesapeake.
- Chesapeake has higher obesity rates at 36.1% compared to 35.8% in Sioux falls.
- There is a higher percentage of disabled individuals in Chesapeake at 11.0% 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 | Chesapeake |
|---|---|---|
| No Schooling | 0.8% (1,619) | 0.8% (2,039) |
| High School Diploma | 13.1% (26,548) | 13.1% (33,024) |
| Less than High School | 7.3% (14,743) | 7.0% (17,684) |
| Bachelor's Degree and Higher | 23.3% (47,034) | 23.8% (60,160) |
Education Levels Comparison: Sioux falls vs Chesapeake
- The percentage of residents with no formal schooling is the same in both Sioux falls and Chesapeake at 0.8%.
- Both cities have the same percentage of residents with high school diplomas at 13.1%.
- More residents in Sioux falls have less than a high school education at 7.3% compared to 7.0% in Chesapeake.
- In Chesapeake, a larger share of residents have a bachelor's degree or higher at 23.8% compared to 23.3% in Sioux falls.
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.