Demographics details for Okeechobee, FL vs Highland, IL
Population Overview
Compare main population characteristics in Okeechobee, FL vs Highland, IL.
Data | Okeechobee | Highland |
---|---|---|
Population | 40,412 | 10,009 |
Median Age | 40.8 years | 42.8 years |
Median Income | $50,476 | $75,779 |
Married Families | 38.0% | 44.0% |
Poverty Level | 16% | 7% |
Unemployment Rate | 3.7 | 3.5 |
Population Comparison: Okeechobee vs Highland
- In Okeechobee, the population is higher at 40,412, compared to 10,009 in Highland.
- The median age in Highland is higher at 42.8 years, compared to 40.8 years in Okeechobee.
- Highland has a higher median income of $75,779, compared to $50,476 in Okeechobee.
- In Highland, 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 7% in Highland.
- The unemployment rate in Okeechobee is higher at 3.7%, compared to 3.5% in Highland.
Demographics
Demographics Okeechobee vs Highland provide insight into the diversity of the communities to compare.
Demographic | Okeechobee | Highland |
---|---|---|
Black | 8 | Data is updating |
White | 58 | 94 |
Asian | 1 | 3 |
Hispanic | 26 | 1 |
Two or More Races | 7 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Okeechobee vs Highland
- A higher percentage of Black residents are in Okeechobee at 8% compared to 0% in Highland.
- The percentage of White residents is higher in Highland at 94% compared to 58% in Okeechobee.
- In Highland, the Asian population stands at 3%, greater than 1% in Okeechobee.
- The Hispanic community is larger in Okeechobee at 26% compared to 1% in Highland.
- More residents identify as two or more races in Okeechobee at 7% compared to 2% in Highland.
- The percentage of American Indian residents is the same in both Okeechobee and Highland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Okeechobee | Highland |
---|---|---|
Mental Health Not Good | 17.3% | 16.2% |
Physical Health Not Good | 13.1% | 10.5% |
Depression | 20.1% | 21.5% |
Smoking | 23.7% | 16.5% |
Binge Drinking | 15.4% | 17.7% |
Obesity | 33.9% | 36.6% |
Disability Percentage | 15.0% | 20.0% |
Health Statistics Comparison: Okeechobee vs Highland
- More residents in Okeechobee report poor mental health at 17.3% compared to 16.2% in Highland.
- Higher depression rates are seen in Highland at 21.5% versus 20.1% in Okeechobee.
- Smoking is more prevalent in Okeechobee at 23.7% compared to 16.5% in Highland.
- More residents engage in binge drinking in Highland at 17.7% compared to 15.4% in Okeechobee.
- Highland has higher obesity rates at 36.6% compared to 33.9% in Okeechobee.
- There is a higher percentage of disabled individuals in Highland at 20.0% 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 | Highland |
---|---|---|
No Schooling | 1.9% (751) | 0.5% (48) |
High School Diploma | 18.6% (7,520) | 20.0% (2,003) |
Less than High School | 26.7% (10,783) | 5.7% (568) |
Bachelor's Degree and Higher | 11.8% (4,773) | 22.2% (2,224) |
Education Levels Comparison: Okeechobee vs Highland
- A higher percentage of residents in Okeechobee have no formal schooling at 1.9% compared to 0.5% in Highland.
- In Highland, the rate of residents with high school diplomas is higher at 20.0% compared to 18.6% in Okeechobee.
- More residents in Okeechobee have less than a high school education at 26.7% compared to 5.7% in Highland.
- In Highland, a larger share of residents have a bachelor's degree or higher at 22.2% 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.