Demographics details for Okeechobee, FL vs Washington, NC
Population Overview
Compare main population characteristics in Okeechobee, FL vs Washington, NC.
| Data | Okeechobee | Washington |
|---|---|---|
| Population | 40,412 | 10,828 |
| Median Age | 40.8 years | 48.0 years |
| Median Income | $50,476 | $38,927 |
| Married Families | 38.0% | 34.0% |
| Poverty Level | 16% | 16% |
| Unemployment Rate | 3.7 | 4.8 |
Population Comparison: Okeechobee vs Washington
- In Okeechobee, the population is higher at 40,412, compared to 10,828 in Washington.
- The median age in Washington is higher at 48.0 years, compared to 40.8 years in Okeechobee.
- Okeechobee has a higher median income of $50,476 compared to $38,927 in Washington.
- A higher percentage of married families is found in Okeechobee at 38.0% compared to 34.0% in Washington.
- The poverty level is identical in both Okeechobee and Washington at 16%.
- Washington has a higher unemployment rate at 4.8% compared to 3.7% in Okeechobee.
Demographics
Demographics Okeechobee vs Washington provide insight into the diversity of the communities to compare.
| Demographic | Okeechobee | Washington |
|---|---|---|
| Black | 8 | 49 |
| White | 58 | 41 |
| Asian | 1 | Data is updating |
| Hispanic | 26 | 6 |
| Two or More Races | 7 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Okeechobee vs Washington
- In Washington, the percentage of Black residents is higher at 49% compared to 8% in Okeechobee.
- Okeechobee has a higher percentage of White residents at 58% compared to 41% in Washington.
- The Asian population is larger in Okeechobee at 1% compared to 0% in Washington.
- The Hispanic community is larger in Okeechobee at 26% compared to 6% in Washington.
- More residents identify as two or more races in Okeechobee at 7% compared to 3% in Washington.
- In Washington, 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 | Washington |
|---|---|---|
| Mental Health Not Good | 17.3% | 18.3% |
| Physical Health Not Good | 13.1% | 13.8% |
| Depression | 20.1% | 22.8% |
| Smoking | 23.7% | 21.9% |
| Binge Drinking | 15.4% | 14.7% |
| Obesity | 33.9% | 43.3% |
| Disability Percentage | 15.0% | 24.0% |
Health Statistics Comparison: Okeechobee vs Washington
- In Washington, a higher percentage report poor mental health at 18.3% compared to 17.3% in Okeechobee.
- Higher depression rates are seen in Washington at 22.8% versus 20.1% in Okeechobee.
- Smoking is more prevalent in Okeechobee at 23.7% compared to 21.9% in Washington.
- Binge drinking is more common in Okeechobee at 15.4% compared to 14.7% in Washington.
- Washington has higher obesity rates at 43.3% compared to 33.9% in Okeechobee.
- There is a higher percentage of disabled individuals in Washington at 24.0% 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 | Washington |
|---|---|---|
| No Schooling | 1.9% (751) | 1.2% (128) |
| High School Diploma | 18.6% (7,520) | 19.0% (2,058) |
| Less than High School | 26.7% (10,783) | 13.7% (1,487) |
| Bachelor's Degree and Higher | 11.8% (4,773) | 10.3% (1,118) |
Education Levels Comparison: Okeechobee vs Washington
- A higher percentage of residents in Okeechobee have no formal schooling at 1.9% compared to 1.2% in Washington.
- In Washington, the rate of residents with high school diplomas is higher at 19.0% compared to 18.6% in Okeechobee.
- More residents in Okeechobee have less than a high school education at 26.7% compared to 13.7% in Washington.
- A higher percentage of residents in Okeechobee hold a bachelor's degree or higher at 11.8% compared to 10.3% in Washington.
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.