Demographics details for Lake butler, FL vs Wakita, OK
Population Overview
Compare main population characteristics in Lake butler, FL vs Wakita, OK.
| Data | Lake butler | Wakita |
|---|---|---|
| Population | 17,765 | 307 |
| Median Age | 43.8 years | 35.5 years |
| Median Income | $150,316 | $34,375 |
| Married Families | 55.0% | 32.0% |
| Poverty Level | 10% | 15% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Lake butler vs Wakita
- In Lake butler, the population is higher at 17,765, compared to 307 in Wakita.
- Residents in Lake butler have a higher median age of 43.8 years compared to 35.5 years in Wakita.
- Lake butler has a higher median income of $150,316 compared to $34,375 in Wakita.
- A higher percentage of married families is found in Lake butler at 55.0% compared to 32.0% in Wakita.
- The poverty level is higher in Wakita at 15%, compared to 10% in Lake butler.
- The unemployment rate in Lake butler is higher at 4.5%, compared to 3.5% in Wakita.
Demographics
Demographics Lake butler vs Wakita provide insight into the diversity of the communities to compare.
| Demographic | Lake butler | Wakita |
|---|---|---|
| Black | 6 | Data is updating |
| White | 53 | 74 |
| Asian | 16 | Data is updating |
| Hispanic | 12 | 20 |
| Two or More Races | 13 | 4 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Lake butler vs Wakita
- A higher percentage of Black residents are in Lake butler at 6% compared to 0% in Wakita.
- The percentage of White residents is higher in Wakita at 74% compared to 53% in Lake butler.
- The Asian population is larger in Lake butler at 16% compared to 0% in Wakita.
- Wakita has a higher percentage of Hispanic residents at 20%, compared to 12% in Lake butler.
- More residents identify as two or more races in Lake butler at 13% compared to 4% in Wakita.
- In Wakita, the percentage of American Indian residents is higher at 2%, compared to 0% in Lake butler.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lake butler | Wakita |
|---|---|---|
| Mental Health Not Good | 13.0% | 17.8% |
| Physical Health Not Good | 7.3% | 11.4% |
| Depression | 16.3% | 25.5% |
| Smoking | 11.4% | 17.8% |
| Binge Drinking | 15.8% | 15.8% |
| Obesity | 23.4% | 39.1% |
| Disability Percentage | 7.0% | 19.0% |
Health Statistics Comparison: Lake butler vs Wakita
- In Wakita, a higher percentage report poor mental health at 17.8% compared to 13.0% in Lake butler.
- Higher depression rates are seen in Wakita at 25.5% versus 16.3% in Lake butler.
- Wakita has a higher smoking rate at 17.8% compared to 11.4% in Lake butler.
- Binge drinking rates are similar in both Lake butler and Wakita at 15.8%.
- Wakita has higher obesity rates at 39.1% compared to 23.4% in Lake butler.
- There is a higher percentage of disabled individuals in Wakita at 19.0% compared to 7.0% in Lake butler.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lake butler | Wakita |
|---|---|---|
| No Schooling | 0.2% (37) | 0.0% (Data is updating) |
| High School Diploma | 5.1% (899) | 25.1% (77) |
| Less than High School | 2.9% (520) | 10.4% (32) |
| Bachelor's Degree and Higher | 41.2% (7,325) | 11.4% (35) |
Education Levels Comparison: Lake butler vs Wakita
- A higher percentage of residents in Lake butler have no formal schooling at 0.2% compared to 0.0% in Wakita.
- In Wakita, the rate of residents with high school diplomas is higher at 25.1% compared to 5.1% in Lake butler.
- The percentage of residents with less than a high school education is higher in Wakita at 10.4%, compared to 2.9% in Lake butler.
- A higher percentage of residents in Lake butler hold a bachelor's degree or higher at 41.2% 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.