Demographics details for Irma, WI vs Okeechobee, FL
Population Overview
Compare main population characteristics in Irma, WI vs Okeechobee, FL.
| Data | Irma | Okeechobee |
|---|---|---|
| Population | 137 | 40,412 |
| Median Age | 48.5 years | 40.8 years |
| Median Income | $60,500 | $50,476 |
| Married Families | 58.0% | 38.0% |
| Poverty Level | 6% | 16% |
| Unemployment Rate | 3.5 | 3.7 |
Population Comparison: Irma vs Okeechobee
- The population in Okeechobee is higher at 40,412, compared to 137 in Irma.
- Residents in Irma have a higher median age of 48.5 years compared to 40.8 years in Okeechobee.
- Irma has a higher median income of $60,500 compared to $50,476 in Okeechobee.
- A higher percentage of married families is found in Irma at 58.0% compared to 38.0% in Okeechobee.
- The poverty level is higher in Okeechobee at 16%, compared to 6% in Irma.
- Okeechobee has a higher unemployment rate at 3.7% compared to 3.5% in Irma.
Demographics
Demographics Irma vs Okeechobee provide insight into the diversity of the communities to compare.
| Demographic | Irma | Okeechobee |
|---|---|---|
| Black | Data is updating | 8 |
| White | 99.2 | 58 |
| Asian | Data is updating | 1 |
| Hispanic | 0.8 | 26 |
| Two or More Races | Data is updating | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Irma vs Okeechobee
- In Okeechobee, the percentage of Black residents is higher at 8% compared to 0% in Irma.
- Irma has a higher percentage of White residents at 99.2% compared to 58% in Okeechobee.
- In Okeechobee, the Asian population stands at 1%, greater than 0% in Irma.
- Okeechobee has a higher percentage of Hispanic residents at 26%, compared to 0.8% in Irma.
- The percentage of residents identifying as two or more races is higher in Okeechobee at 7%, compared to 0% in Irma.
- The percentage of American Indian residents is the same in both Irma and Okeechobee at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Irma | Okeechobee |
|---|---|---|
| Mental Health Not Good | Data is updating% | 17.3% |
| Physical Health Not Good | Data is updating% | 13.1% |
| Depression | Data is updating% | 20.1% |
| Smoking | Data is updating% | 23.7% |
| Binge Drinking | Data is updating% | 15.4% |
| Obesity | Data is updating% | 33.9% |
| Disability Percentage | Data is updating% | 15.0% |
Health Statistics Comparison: Irma vs Okeechobee
- In Okeechobee, a higher percentage report poor mental health at 17.3% compared to 0.0% in Irma.
- Higher depression rates are seen in Okeechobee at 20.1% versus 0.0% in Irma.
- Okeechobee has a higher smoking rate at 23.7% compared to 0.0% in Irma.
- More residents engage in binge drinking in Okeechobee at 15.4% compared to 0.0% in Irma.
- Okeechobee has higher obesity rates at 33.9% compared to 0.0% in Irma.
- There is a higher percentage of disabled individuals in Okeechobee at 15.0% compared to 0.0% in Irma.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Irma | Okeechobee |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.9% (751) |
| High School Diploma | 0.0% (Data is updating) | 18.6% (7,520) |
| Less than High School | 0.0% (Data is updating) | 26.7% (10,783) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 11.8% (4,773) |
Education Levels Comparison: Irma vs Okeechobee
- In Okeechobee, a larger percentage of residents lack formal schooling at 1.9% compared to 0.0% in Irma.
- In Okeechobee, the rate of residents with high school diplomas is higher at 18.6% compared to 0.0% in Irma.
- The percentage of residents with less than a high school education is higher in Okeechobee at 26.7%, compared to 0.0% in Irma.
- In Okeechobee, a larger share of residents have a bachelor's degree or higher at 11.8% compared to 0.0% in Irma.
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.