Demographics details for Kingman, KS vs Eau claire, WI
Population Overview
Compare main population characteristics in Kingman, KS vs Eau claire, WI.
| Data | Kingman | Eau claire |
|---|---|---|
| Population | 7,193 | 69,737 |
| Median Age | 43.6 years | 32.8 years |
| Median Income | $59,640 | $63,882 |
| Married Families | 51.0% | 34.0% |
| Poverty Level | Data is updating | 10% |
| Unemployment Rate | 3.3 | 3.0 |
Population Comparison: Kingman vs Eau claire
- The population in Eau claire is higher at 69,737, compared to 7,193 in Kingman.
- Residents in Kingman have a higher median age of 43.6 years compared to 32.8 years in Eau claire.
- Eau claire has a higher median income of $63,882, compared to $59,640 in Kingman.
- A higher percentage of married families is found in Kingman at 51.0% compared to 34.0% in Eau claire.
- The poverty level is higher in Eau claire at 10%, compared to 0% in Kingman.
- The unemployment rate in Kingman is higher at 3.3%, compared to 3.0% in Eau claire.
Demographics
Demographics Kingman vs Eau claire provide insight into the diversity of the communities to compare.
| Demographic | Kingman | Eau claire |
|---|---|---|
| Black | Data is updating | 1 |
| White | 92 | 86 |
| Asian | Data is updating | 6 |
| Hispanic | 4 | 3 |
| Two or More Races | 4 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Kingman vs Eau claire
- In Eau claire, the percentage of Black residents is higher at 1% compared to 0% in Kingman.
- Kingman has a higher percentage of White residents at 92% compared to 86% in Eau claire.
- In Eau claire, the Asian population stands at 6%, greater than 0% in Kingman.
- The Hispanic community is larger in Kingman at 4% compared to 3% in Eau claire.
- Both Kingman and Eau claire have the same percentage of residents identifying as two or more races at 4%.
- The percentage of American Indian residents is the same in both Kingman and Eau claire at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kingman | Eau claire |
|---|---|---|
| Mental Health Not Good | 15.6% | 15.3% |
| Physical Health Not Good | 9.9% | 9.8% |
| Depression | 20.5% | 23.6% |
| Smoking | 17.7% | 15.2% |
| Binge Drinking | 20.4% | 24.8% |
| Obesity | 37.7% | 32.2% |
| Disability Percentage | 18.0% | 13.0% |
Health Statistics Comparison: Kingman vs Eau claire
- More residents in Kingman report poor mental health at 15.6% compared to 15.3% in Eau claire.
- Higher depression rates are seen in Eau claire at 23.6% versus 20.5% in Kingman.
- Smoking is more prevalent in Kingman at 17.7% compared to 15.2% in Eau claire.
- More residents engage in binge drinking in Eau claire at 24.8% compared to 20.4% in Kingman.
- Obesity rates are higher in Kingman at 37.7% compared to 32.2% in Eau claire.
- Disability percentages are higher in Kingman at 18.0% compared to 13.0% in Eau claire.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kingman | Eau claire |
|---|---|---|
| No Schooling | 0.5% (35) | 0.5% (340) |
| High School Diploma | 19.9% (1,430) | 14.2% (9,934) |
| Less than High School | 13.1% (939) | 3.7% (2,573) |
| Bachelor's Degree and Higher | 17.6% (1,268) | 21.6% (15,073) |
Education Levels Comparison: Kingman vs Eau claire
- The percentage of residents with no formal schooling is the same in both Kingman and Eau claire at 0.5%.
- A higher percentage of residents in Kingman hold a high school diploma at 19.9% compared to 14.2% in Eau claire.
- More residents in Kingman have less than a high school education at 13.1% compared to 3.7% in Eau claire.
- In Eau claire, a larger share of residents have a bachelor's degree or higher at 21.6% compared to 17.6% in Kingman.
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.