Demographics details for Two rivers, WI vs Wichita, KS
Population Overview
Compare main population characteristics in Two rivers, WI vs Wichita, KS.
| Data | Two rivers | Wichita |
|---|---|---|
| Population | 11,166 | 396,192 |
| Median Age | 44.7 years | 35.4 years |
| Median Income | $56,236 | $60,712 |
| Married Families | 42.0% | 36.0% |
| Poverty Level | 11% | 13% |
| Unemployment Rate | 3.1 | 4.1 |
Population Comparison: Two rivers vs Wichita
- The population in Wichita is higher at 396,192, compared to 11,166 in Two rivers.
- Residents in Two rivers have a higher median age of 44.7 years compared to 35.4 years in Wichita.
- Wichita has a higher median income of $60,712, compared to $56,236 in Two rivers.
- A higher percentage of married families is found in Two rivers at 42.0% compared to 36.0% in Wichita.
- The poverty level is higher in Wichita at 13%, compared to 11% in Two rivers.
- Wichita has a higher unemployment rate at 4.1% compared to 3.1% in Two rivers.
Demographics
Demographics Two rivers vs Wichita provide insight into the diversity of the communities to compare.
| Demographic | Two rivers | Wichita |
|---|---|---|
| Black | 2 | 10 |
| White | 86 | 56 |
| Asian | 1 | 5 |
| Hispanic | 6 | 18 |
| Two or More Races | 5 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Two rivers vs Wichita
- In Wichita, the percentage of Black residents is higher at 10% compared to 2% in Two rivers.
- Two rivers has a higher percentage of White residents at 86% compared to 56% in Wichita.
- In Wichita, the Asian population stands at 5%, greater than 1% in Two rivers.
- Wichita has a higher percentage of Hispanic residents at 18%, compared to 6% in Two rivers.
- The percentage of residents identifying as two or more races is higher in Wichita at 10%, compared to 5% in Two rivers.
- In Wichita, the percentage of American Indian residents is higher at 1%, compared to 0% in Two rivers.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Two rivers | Wichita |
|---|---|---|
| Mental Health Not Good | 15.7% | 17.1% |
| Physical Health Not Good | 10.8% | 10.7% |
| Depression | 24.3% | 21.2% |
| Smoking | 18.0% | 20.0% |
| Binge Drinking | 23.7% | 16.6% |
| Obesity | 36.7% | 40.4% |
| Disability Percentage | 12.0% | 15.0% |
Health Statistics Comparison: Two rivers vs Wichita
- In Wichita, a higher percentage report poor mental health at 17.1% compared to 15.7% in Two rivers.
- Depression is more prevalent in Two rivers at 24.3% compared to 21.2% in Wichita.
- Wichita has a higher smoking rate at 20.0% compared to 18.0% in Two rivers.
- Binge drinking is more common in Two rivers at 23.7% compared to 16.6% in Wichita.
- Wichita has higher obesity rates at 40.4% compared to 36.7% in Two rivers.
- There is a higher percentage of disabled individuals in Wichita at 15.0% compared to 12.0% in Two rivers.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Two rivers | Wichita |
|---|---|---|
| No Schooling | 0.7% (83) | 1.6% (6,509) |
| High School Diploma | 24.6% (2,745) | 13.5% (53,581) |
| Less than High School | 8.7% (974) | 13.8% (54,534) |
| Bachelor's Degree and Higher | 17.1% (1,912) | 20.3% (80,251) |
Education Levels Comparison: Two rivers vs Wichita
- In Wichita, a larger percentage of residents lack formal schooling at 1.6% compared to 0.7% in Two rivers.
- A higher percentage of residents in Two rivers hold a high school diploma at 24.6% compared to 13.5% in Wichita.
- The percentage of residents with less than a high school education is higher in Wichita at 13.8%, compared to 8.7% in Two rivers.
- In Wichita, a larger share of residents have a bachelor's degree or higher at 20.3% compared to 17.1% in Two rivers.
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.