Demographics details for Winona lake, IN vs Wakita, OK
Population Overview
Compare main population characteristics in Winona lake, IN vs Wakita, OK.
| Data | Winona lake | Wakita |
|---|---|---|
| Population | 5,106 | 307 |
| Median Age | 28.9 years | 35.5 years |
| Median Income | $77,305 | $34,375 |
| Married Families | 36.0% | 32.0% |
| Poverty Level | 5% | 15% |
| Unemployment Rate | 2.5 | 3.5 |
Population Comparison: Winona lake vs Wakita
- In Winona lake, the population is higher at 5,106, compared to 307 in Wakita.
- The median age in Wakita is higher at 35.5 years, compared to 28.9 years in Winona lake.
- Winona lake has a higher median income of $77,305 compared to $34,375 in Wakita.
- A higher percentage of married families is found in Winona lake at 36.0% compared to 32.0% in Wakita.
- The poverty level is higher in Wakita at 15%, compared to 5% in Winona lake.
- Wakita has a higher unemployment rate at 3.5% compared to 2.5% in Winona lake.
Demographics
Demographics Winona lake vs Wakita provide insight into the diversity of the communities to compare.
| Demographic | Winona lake | Wakita |
|---|---|---|
| Black | 1 | Data is updating |
| White | 79 | 74 |
| Asian | 1 | Data is updating |
| Hispanic | 14 | 20 |
| Two or More Races | 5 | 4 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Winona lake vs Wakita
- A higher percentage of Black residents are in Winona lake at 1% compared to 0% in Wakita.
- Winona lake has a higher percentage of White residents at 79% compared to 74% in Wakita.
- The Asian population is larger in Winona lake at 1% compared to 0% in Wakita.
- Wakita has a higher percentage of Hispanic residents at 20%, compared to 14% in Winona lake.
- More residents identify as two or more races in Winona lake at 5% compared to 4% in Wakita.
- In Wakita, the percentage of American Indian residents is higher at 2%, compared to 0% in Winona lake.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Winona lake | Wakita |
|---|---|---|
| Mental Health Not Good | 15.7% | 17.8% |
| Physical Health Not Good | 9.8% | 11.4% |
| Depression | 24.7% | 25.5% |
| Smoking | 16.3% | 17.8% |
| Binge Drinking | 18.1% | 15.8% |
| Obesity | 35.6% | 39.1% |
| Disability Percentage | 8.0% | 19.0% |
Health Statistics Comparison: Winona lake vs Wakita
- In Wakita, a higher percentage report poor mental health at 17.8% compared to 15.7% in Winona lake.
- Higher depression rates are seen in Wakita at 25.5% versus 24.7% in Winona lake.
- Wakita has a higher smoking rate at 17.8% compared to 16.3% in Winona lake.
- Binge drinking is more common in Winona lake at 18.1% compared to 15.8% in Wakita.
- Wakita has higher obesity rates at 39.1% compared to 35.6% in Winona lake.
- There is a higher percentage of disabled individuals in Wakita at 19.0% compared to 8.0% in Winona lake.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Winona lake | Wakita |
|---|---|---|
| No Schooling | 0.3% (17) | 0.0% (Data is updating) |
| High School Diploma | 9.5% (483) | 25.1% (77) |
| Less than High School | 4.0% (205) | 10.4% (32) |
| Bachelor's Degree and Higher | 32.4% (1,654) | 11.4% (35) |
Education Levels Comparison: Winona lake vs Wakita
- A higher percentage of residents in Winona lake have no formal schooling at 0.3% compared to 0.0% in Wakita.
- In Wakita, the rate of residents with high school diplomas is higher at 25.1% compared to 9.5% in Winona lake.
- The percentage of residents with less than a high school education is higher in Wakita at 10.4%, compared to 4.0% in Winona lake.
- A higher percentage of residents in Winona lake hold a bachelor's degree or higher at 32.4% 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.