Demographics details for Okeechobee, FL vs Bryant, SD
Population Overview
Compare main population characteristics in Okeechobee, FL vs Bryant, SD.
| Data | Okeechobee | Bryant |
|---|---|---|
| Population | 40,412 | 473 |
| Median Age | 40.8 years | 22.8 years |
| Median Income | $50,476 | $58,558 |
| Married Families | 38.0% | 56.0% |
| Poverty Level | 16% | 10% |
| Unemployment Rate | 3.7 | 2.5 |
Population Comparison: Okeechobee vs Bryant
- In Okeechobee, the population is higher at 40,412, compared to 473 in Bryant.
- Residents in Okeechobee have a higher median age of 40.8 years compared to 22.8 years in Bryant.
- Bryant has a higher median income of $58,558, compared to $50,476 in Okeechobee.
- In Bryant, the percentage of married families is higher at 56.0%, compared to 38.0% in Okeechobee.
- Okeechobee has a higher poverty level at 16% compared to 10% in Bryant.
- The unemployment rate in Okeechobee is higher at 3.7%, compared to 2.5% in Bryant.
Demographics
Demographics Okeechobee vs Bryant provide insight into the diversity of the communities to compare.
| Demographic | Okeechobee | Bryant |
|---|---|---|
| Black | 8 | Data is updating |
| White | 58 | 89 |
| Asian | 1 | Data is updating |
| Hispanic | 26 | 11 |
| Two or More Races | 7 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Okeechobee vs Bryant
- A higher percentage of Black residents are in Okeechobee at 8% compared to 0% in Bryant.
- The percentage of White residents is higher in Bryant at 89% compared to 58% in Okeechobee.
- The Asian population is larger in Okeechobee at 1% compared to 0% in Bryant.
- The Hispanic community is larger in Okeechobee at 26% compared to 11% in Bryant.
- More residents identify as two or more races in Okeechobee at 7% compared to 0% in Bryant.
- The percentage of American Indian residents is the same in both Okeechobee and Bryant at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Okeechobee | Bryant |
|---|---|---|
| Mental Health Not Good | 17.3% | 13.2% |
| Physical Health Not Good | 13.1% | 9.0% |
| Depression | 20.1% | 18.0% |
| Smoking | 23.7% | 17.5% |
| Binge Drinking | 15.4% | 20.1% |
| Obesity | 33.9% | 36.6% |
| Disability Percentage | 15.0% | 10.0% |
Health Statistics Comparison: Okeechobee vs Bryant
- More residents in Okeechobee report poor mental health at 17.3% compared to 13.2% in Bryant.
- Depression is more prevalent in Okeechobee at 20.1% compared to 18.0% in Bryant.
- Smoking is more prevalent in Okeechobee at 23.7% compared to 17.5% in Bryant.
- More residents engage in binge drinking in Bryant at 20.1% compared to 15.4% in Okeechobee.
- Bryant has higher obesity rates at 36.6% compared to 33.9% in Okeechobee.
- Disability percentages are higher in Okeechobee at 15.0% compared to 10.0% in Bryant.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Okeechobee | Bryant |
|---|---|---|
| No Schooling | 1.9% (751) | 3.4% (16) |
| High School Diploma | 18.6% (7,520) | 32.8% (155) |
| Less than High School | 26.7% (10,783) | 33.0% (156) |
| Bachelor's Degree and Higher | 11.8% (4,773) | 6.1% (29) |
Education Levels Comparison: Okeechobee vs Bryant
- In Bryant, a larger percentage of residents lack formal schooling at 3.4% compared to 1.9% in Okeechobee.
- In Bryant, the rate of residents with high school diplomas is higher at 32.8% compared to 18.6% in Okeechobee.
- The percentage of residents with less than a high school education is higher in Bryant at 33.0%, compared to 26.7% in Okeechobee.
- A higher percentage of residents in Okeechobee hold a bachelor's degree or higher at 11.8% compared to 6.1% in Bryant.
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.