Demographics details for Okeechobee, FL vs Pond eddy, NY
Population Overview
Compare main population characteristics in Okeechobee, FL vs Pond eddy, NY.
Data | Okeechobee | Pond eddy |
---|---|---|
Population | 40,412 | 389 |
Median Age | 40.8 years | 45.0 years |
Median Income | $50,476 | $55,000 |
Married Families | 38.0% | 65.0% |
Poverty Level | 16% | 10% |
Unemployment Rate | 3.7 | 4.0 |
Population Comparison: Okeechobee vs Pond eddy
- In Okeechobee, the population is higher at 40,412, compared to 389 in Pond eddy.
- The median age in Pond eddy is higher at 45.0 years, compared to 40.8 years in Okeechobee.
- Pond eddy has a higher median income of $55,000, compared to $50,476 in Okeechobee.
- In Pond eddy, the percentage of married families is higher at 65.0%, compared to 38.0% in Okeechobee.
- Okeechobee has a higher poverty level at 16% compared to 10% in Pond eddy.
- Pond eddy has a higher unemployment rate at 4.0% compared to 3.7% in Okeechobee.
Demographics
Demographics Okeechobee vs Pond eddy provide insight into the diversity of the communities to compare.
Demographic | Okeechobee | Pond eddy |
---|---|---|
Black | 8 | 2 |
White | 58 | 95 |
Asian | 1 | 1 |
Hispanic | 26 | 2 |
Two or More Races | 7 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Okeechobee vs Pond eddy
- A higher percentage of Black residents are in Okeechobee at 8% compared to 2% in Pond eddy.
- The percentage of White residents is higher in Pond eddy at 95% compared to 58% in Okeechobee.
- Both Okeechobee and Pond eddy have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Okeechobee at 26% compared to 2% in Pond eddy.
- More residents identify as two or more races in Okeechobee at 7% compared to 0% in Pond eddy.
- The percentage of American Indian residents is the same in both Okeechobee and Pond eddy at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Okeechobee | Pond eddy |
---|---|---|
Mental Health Not Good | 17.3% | Data is updating% |
Physical Health Not Good | 13.1% | Data is updating% |
Depression | 20.1% | Data is updating% |
Smoking | 23.7% | Data is updating% |
Binge Drinking | 15.4% | Data is updating% |
Obesity | 33.9% | Data is updating% |
Disability Percentage | 15.0% | Data is updating% |
Health Statistics Comparison: Okeechobee vs Pond eddy
- More residents in Okeechobee report poor mental health at 17.3% compared to 0.0% in Pond eddy.
- Depression is more prevalent in Okeechobee at 20.1% compared to 0.0% in Pond eddy.
- Smoking is more prevalent in Okeechobee at 23.7% compared to 0.0% in Pond eddy.
- Binge drinking is more common in Okeechobee at 15.4% compared to 0.0% in Pond eddy.
- Obesity rates are higher in Okeechobee at 33.9% compared to 0.0% in Pond eddy.
- Disability percentages are higher in Okeechobee at 15.0% compared to 0.0% in Pond eddy.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Okeechobee | Pond eddy |
---|---|---|
No Schooling | 1.9% (751) | 0.0% (Data is updating) |
High School Diploma | 18.6% (7,520) | 0.0% (Data is updating) |
Less than High School | 26.7% (10,783) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 11.8% (4,773) | 0.0% (Data is updating) |
Education Levels Comparison: Okeechobee vs Pond eddy
- A higher percentage of residents in Okeechobee have no formal schooling at 1.9% compared to 0.0% in Pond eddy.
- A higher percentage of residents in Okeechobee hold a high school diploma at 18.6% compared to 0.0% in Pond eddy.
- More residents in Okeechobee have less than a high school education at 26.7% compared to 0.0% in Pond eddy.
- A higher percentage of residents in Okeechobee hold a bachelor's degree or higher at 11.8% compared to 0.0% in Pond eddy.
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.