Demographics details for Wakita, OK vs Eau claire, WI
Population Overview
Compare main population characteristics in Wakita, OK vs Eau claire, WI.
| Data | Wakita | Eau claire |
|---|---|---|
| Population | 307 | 69,737 |
| Median Age | 35.5 years | 32.8 years |
| Median Income | $34,375 | $63,882 |
| Married Families | 32.0% | 34.0% |
| Poverty Level | 15% | 10% |
| Unemployment Rate | 3.5 | 3.0 |
Population Comparison: Wakita vs Eau claire
- The population in Eau claire is higher at 69,737, compared to 307 in Wakita.
- Residents in Wakita have a higher median age of 35.5 years compared to 32.8 years in Eau claire.
- Eau claire has a higher median income of $63,882, compared to $34,375 in Wakita.
- In Eau claire, the percentage of married families is higher at 34.0%, compared to 32.0% in Wakita.
- Wakita has a higher poverty level at 15% compared to 10% in Eau claire.
- The unemployment rate in Wakita is higher at 3.5%, compared to 3.0% in Eau claire.
Demographics
Demographics Wakita vs Eau claire provide insight into the diversity of the communities to compare.
| Demographic | Wakita | Eau claire |
|---|---|---|
| Black | Data is updating | 1 |
| White | 74 | 86 |
| Asian | Data is updating | 6 |
| Hispanic | 20 | 3 |
| Two or More Races | 4 | 4 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Wakita vs Eau claire
- In Eau claire, the percentage of Black residents is higher at 1% compared to 0% in Wakita.
- The percentage of White residents is higher in Eau claire at 86% compared to 74% in Wakita.
- In Eau claire, the Asian population stands at 6%, greater than 0% in Wakita.
- The Hispanic community is larger in Wakita at 20% compared to 3% in Eau claire.
- Both Wakita and Eau claire have the same percentage of residents identifying as two or more races at 4%.
- A greater percentage of American Indian residents live in Wakita at 2% compared to 0% in Eau claire.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wakita | Eau claire |
|---|---|---|
| Mental Health Not Good | 17.8% | 15.3% |
| Physical Health Not Good | 11.4% | 9.8% |
| Depression | 25.5% | 23.6% |
| Smoking | 17.8% | 15.2% |
| Binge Drinking | 15.8% | 24.8% |
| Obesity | 39.1% | 32.2% |
| Disability Percentage | 19.0% | 13.0% |
Health Statistics Comparison: Wakita vs Eau claire
- More residents in Wakita report poor mental health at 17.8% compared to 15.3% in Eau claire.
- Depression is more prevalent in Wakita at 25.5% compared to 23.6% in Eau claire.
- Smoking is more prevalent in Wakita at 17.8% compared to 15.2% in Eau claire.
- More residents engage in binge drinking in Eau claire at 24.8% compared to 15.8% in Wakita.
- Obesity rates are higher in Wakita at 39.1% compared to 32.2% in Eau claire.
- Disability percentages are higher in Wakita at 19.0% 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 | Wakita | Eau claire |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.5% (340) |
| High School Diploma | 25.1% (77) | 14.2% (9,934) |
| Less than High School | 10.4% (32) | 3.7% (2,573) |
| Bachelor's Degree and Higher | 11.4% (35) | 21.6% (15,073) |
Education Levels Comparison: Wakita vs Eau claire
- In Eau claire, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Wakita.
- A higher percentage of residents in Wakita hold a high school diploma at 25.1% compared to 14.2% in Eau claire.
- More residents in Wakita have less than a high school education at 10.4% 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 11.4% in Wakita.
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.