Demographics details for Fairlawn, OH vs Okeechobee, FL
Population Overview
Compare main population characteristics in Fairlawn, OH vs Okeechobee, FL.
| Data | Fairlawn | Okeechobee |
|---|---|---|
| Population | 7,662 | 40,412 |
| Median Age | 43.4 years | 40.8 years |
| Median Income | $87,952 | $50,476 |
| Married Families | 41.0% | 38.0% |
| Poverty Level | 4% | 16% |
| Unemployment Rate | 2.5 | 3.7 |
Population Comparison: Fairlawn vs Okeechobee
- The population in Okeechobee is higher at 40,412, compared to 7,662 in Fairlawn.
- Residents in Fairlawn have a higher median age of 43.4 years compared to 40.8 years in Okeechobee.
- Fairlawn has a higher median income of $87,952 compared to $50,476 in Okeechobee.
- A higher percentage of married families is found in Fairlawn at 41.0% compared to 38.0% in Okeechobee.
- The poverty level is higher in Okeechobee at 16%, compared to 4% in Fairlawn.
- Okeechobee has a higher unemployment rate at 3.7% compared to 2.5% in Fairlawn.
Demographics
Demographics Fairlawn vs Okeechobee provide insight into the diversity of the communities to compare.
| Demographic | Fairlawn | Okeechobee |
|---|---|---|
| Black | 15 | 8 |
| White | 74 | 58 |
| Asian | 2 | 1 |
| Hispanic | 2 | 26 |
| Two or More Races | 7 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Fairlawn vs Okeechobee
- A higher percentage of Black residents are in Fairlawn at 15% compared to 8% in Okeechobee.
- Fairlawn has a higher percentage of White residents at 74% compared to 58% in Okeechobee.
- The Asian population is larger in Fairlawn at 2% compared to 1% in Okeechobee.
- Okeechobee has a higher percentage of Hispanic residents at 26%, compared to 2% in Fairlawn.
- Both Fairlawn and Okeechobee have the same percentage of residents identifying as two or more races at 7%.
- The percentage of American Indian residents is the same in both Fairlawn and Okeechobee at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Fairlawn | Okeechobee |
|---|---|---|
| Mental Health Not Good | 14.7% | 17.3% |
| Physical Health Not Good | 8.9% | 13.1% |
| Depression | 22.2% | 20.1% |
| Smoking | 13.5% | 23.7% |
| Binge Drinking | 18.7% | 15.4% |
| Obesity | 38.3% | 33.9% |
| Disability Percentage | 9.0% | 15.0% |
Health Statistics Comparison: Fairlawn vs Okeechobee
- In Okeechobee, a higher percentage report poor mental health at 17.3% compared to 14.7% in Fairlawn.
- Depression is more prevalent in Fairlawn at 22.2% compared to 20.1% in Okeechobee.
- Okeechobee has a higher smoking rate at 23.7% compared to 13.5% in Fairlawn.
- Binge drinking is more common in Fairlawn at 18.7% compared to 15.4% in Okeechobee.
- Obesity rates are higher in Fairlawn at 38.3% compared to 33.9% in Okeechobee.
- There is a higher percentage of disabled individuals in Okeechobee at 15.0% compared to 9.0% in Fairlawn.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Fairlawn | Okeechobee |
|---|---|---|
| No Schooling | 0.3% (22) | 1.9% (751) |
| High School Diploma | 14.9% (1,142) | 18.6% (7,520) |
| Less than High School | 2.6% (200) | 26.7% (10,783) |
| Bachelor's Degree and Higher | 40.4% (3,097) | 11.8% (4,773) |
Education Levels Comparison: Fairlawn vs Okeechobee
- In Okeechobee, a larger percentage of residents lack formal schooling at 1.9% compared to 0.3% in Fairlawn.
- In Okeechobee, the rate of residents with high school diplomas is higher at 18.6% compared to 14.9% in Fairlawn.
- The percentage of residents with less than a high school education is higher in Okeechobee at 26.7%, compared to 2.6% in Fairlawn.
- A higher percentage of residents in Fairlawn hold a bachelor's degree or higher at 40.4% compared to 11.8% in Okeechobee.
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.