Demographics details for Okeechobee, FL vs Freeland, WA
Population Overview
Compare main population characteristics in Okeechobee, FL vs Freeland, WA.
| Data | Okeechobee | Freeland |
|---|---|---|
| Population | 40,412 | 1,894 |
| Median Age | 40.8 years | 51.2 years |
| Median Income | $50,476 | $89,868 |
| Married Families | 38.0% | 44.0% |
| Poverty Level | 16% | 5% |
| Unemployment Rate | 3.7 | 5.1 |
Population Comparison: Okeechobee vs Freeland
- In Okeechobee, the population is higher at 40,412, compared to 1,894 in Freeland.
- The median age in Freeland is higher at 51.2 years, compared to 40.8 years in Okeechobee.
- Freeland has a higher median income of $89,868, compared to $50,476 in Okeechobee.
- In Freeland, the percentage of married families is higher at 44.0%, compared to 38.0% in Okeechobee.
- Okeechobee has a higher poverty level at 16% compared to 5% in Freeland.
- Freeland has a higher unemployment rate at 5.1% compared to 3.7% in Okeechobee.
Demographics
Demographics Okeechobee vs Freeland provide insight into the diversity of the communities to compare.
| Demographic | Okeechobee | Freeland |
|---|---|---|
| Black | 8 | 3 |
| White | 58 | 86 |
| Asian | 1 | 1 |
| Hispanic | 26 | 3 |
| Two or More Races | 7 | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Okeechobee vs Freeland
- A higher percentage of Black residents are in Okeechobee at 8% compared to 3% in Freeland.
- The percentage of White residents is higher in Freeland at 86% compared to 58% in Okeechobee.
- Both Okeechobee and Freeland have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Okeechobee at 26% compared to 3% in Freeland.
- More residents identify as two or more races in Okeechobee at 7% compared to 6% in Freeland.
- In Freeland, the percentage of American Indian residents is higher at 1%, compared to 0% in Okeechobee.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Okeechobee | Freeland |
|---|---|---|
| Mental Health Not Good | 17.3% | 15.8% |
| Physical Health Not Good | 13.1% | 9.2% |
| Depression | 20.1% | 25.5% |
| Smoking | 23.7% | 11.8% |
| Binge Drinking | 15.4% | 18.0% |
| Obesity | 33.9% | 29.6% |
| Disability Percentage | 15.0% | 19.0% |
Health Statistics Comparison: Okeechobee vs Freeland
- More residents in Okeechobee report poor mental health at 17.3% compared to 15.8% in Freeland.
- Higher depression rates are seen in Freeland at 25.5% versus 20.1% in Okeechobee.
- Smoking is more prevalent in Okeechobee at 23.7% compared to 11.8% in Freeland.
- More residents engage in binge drinking in Freeland at 18.0% compared to 15.4% in Okeechobee.
- Obesity rates are higher in Okeechobee at 33.9% compared to 29.6% in Freeland.
- There is a higher percentage of disabled individuals in Freeland at 19.0% compared to 15.0% in Okeechobee.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Okeechobee | Freeland |
|---|---|---|
| No Schooling | 1.9% (751) | 0.0% (Data is updating) |
| High School Diploma | 18.6% (7,520) | 8.1% (153) |
| Less than High School | 26.7% (10,783) | 8.7% (164) |
| Bachelor's Degree and Higher | 11.8% (4,773) | 28.9% (548) |
Education Levels Comparison: Okeechobee vs Freeland
- A higher percentage of residents in Okeechobee have no formal schooling at 1.9% compared to 0.0% in Freeland.
- A higher percentage of residents in Okeechobee hold a high school diploma at 18.6% compared to 8.1% in Freeland.
- More residents in Okeechobee have less than a high school education at 26.7% compared to 8.7% in Freeland.
- In Freeland, a larger share of residents have a bachelor's degree or higher at 28.9% 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.