Demographics details for Live oak, FL vs Orland park, IL
Population Overview
Compare main population characteristics in Live oak, FL vs Orland park, IL.
Data | Live oak | Orland park |
---|---|---|
Population | 7,034 | 57,511 |
Median Age | 37.5 years | 46.6 years |
Median Income | $43,664 | $97,365 |
Married Families | 31.0% | 48.0% |
Poverty Level | 16% | 6% |
Unemployment Rate | 4.2 | 5.4 |
Population Comparison: Live oak vs Orland park
- The population in Orland park is higher at 57,511, compared to 7,034 in Live oak.
- The median age in Orland park is higher at 46.6 years, compared to 37.5 years in Live oak.
- Orland park has a higher median income of $97,365, compared to $43,664 in Live oak.
- In Orland park, the percentage of married families is higher at 48.0%, compared to 31.0% in Live oak.
- Live oak has a higher poverty level at 16% compared to 6% in Orland park.
- Orland park has a higher unemployment rate at 5.4% compared to 4.2% in Live oak.
Demographics
Demographics Live oak vs Orland park provide insight into the diversity of the communities to compare.
Demographic | Live oak | Orland park |
---|---|---|
Black | 38 | 4 |
White | 41 | 76 |
Asian | Data is updating | 5 |
Hispanic | 9 | 10 |
Two or More Races | 12 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Live oak vs Orland park
- A higher percentage of Black residents are in Live oak at 38% compared to 4% in Orland park.
- The percentage of White residents is higher in Orland park at 76% compared to 41% in Live oak.
- In Orland park, the Asian population stands at 5%, greater than 0% in Live oak.
- Orland park has a higher percentage of Hispanic residents at 10%, compared to 9% in Live oak.
- More residents identify as two or more races in Live oak at 12% compared to 5% in Orland park.
- The percentage of American Indian residents is the same in both Live oak and Orland park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Live oak | Orland park |
---|---|---|
Mental Health Not Good | 17.0% | 13.2% |
Physical Health Not Good | 12.4% | 8.6% |
Depression | 19.3% | 18.2% |
Smoking | 22.3% | 11.7% |
Binge Drinking | 14.9% | 20.2% |
Obesity | 37.1% | 26.8% |
Disability Percentage | 12.0% | 11.0% |
Health Statistics Comparison: Live oak vs Orland park
- More residents in Live oak report poor mental health at 17.0% compared to 13.2% in Orland park.
- Depression is more prevalent in Live oak at 19.3% compared to 18.2% in Orland park.
- Smoking is more prevalent in Live oak at 22.3% compared to 11.7% in Orland park.
- More residents engage in binge drinking in Orland park at 20.2% compared to 14.9% in Live oak.
- Obesity rates are higher in Live oak at 37.1% compared to 26.8% in Orland park.
- Disability percentages are higher in Live oak at 12.0% compared to 11.0% in Orland park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Live oak | Orland park |
---|---|---|
No Schooling | 2.1% (147) | 0.5% (297) |
High School Diploma | 25.0% (1,755) | 16.1% (9,262) |
Less than High School | 11.3% (796) | 8.3% (4,763) |
Bachelor's Degree and Higher | 7.7% (545) | 31.9% (18,372) |
Education Levels Comparison: Live oak vs Orland park
- A higher percentage of residents in Live oak have no formal schooling at 2.1% compared to 0.5% in Orland park.
- A higher percentage of residents in Live oak hold a high school diploma at 25.0% compared to 16.1% in Orland park.
- More residents in Live oak have less than a high school education at 11.3% compared to 8.3% in Orland park.
- In Orland park, a larger share of residents have a bachelor's degree or higher at 31.9% compared to 7.7% in Live oak.
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.