Demographics details for Monroe, MI vs Okeechobee, FL
Population Overview
Compare main population characteristics in Monroe, MI vs Okeechobee, FL.
| Data | Monroe | Okeechobee |
|---|---|---|
| Population | 20,295 | 40,412 |
| Median Age | 36.6 years | 40.8 years |
| Median Income | $57,779 | $50,476 |
| Married Families | 33.0% | 38.0% |
| Poverty Level | 12% | 16% |
| Unemployment Rate | 5.8 | 3.7 |
Population Comparison: Monroe vs Okeechobee
- The population in Okeechobee is higher at 40,412, compared to 20,295 in Monroe.
- The median age in Okeechobee is higher at 40.8 years, compared to 36.6 years in Monroe.
- Monroe has a higher median income of $57,779 compared to $50,476 in Okeechobee.
- In Okeechobee, the percentage of married families is higher at 38.0%, compared to 33.0% in Monroe.
- The poverty level is higher in Okeechobee at 16%, compared to 12% in Monroe.
- The unemployment rate in Monroe is higher at 5.8%, compared to 3.7% in Okeechobee.
Demographics
Demographics Monroe vs Okeechobee provide insight into the diversity of the communities to compare.
| Demographic | Monroe | Okeechobee |
|---|---|---|
| Black | 6 | 8 |
| White | 86 | 58 |
| Asian | 1 | 1 |
| Hispanic | 3 | 26 |
| Two or More Races | 4 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Monroe vs Okeechobee
- In Okeechobee, the percentage of Black residents is higher at 8% compared to 6% in Monroe.
- Monroe has a higher percentage of White residents at 86% compared to 58% in Okeechobee.
- Both Monroe and Okeechobee have the same percentage of Asian residents at 1%.
- Okeechobee has a higher percentage of Hispanic residents at 26%, compared to 3% in Monroe.
- The percentage of residents identifying as two or more races is higher in Okeechobee at 7%, compared to 4% in Monroe.
- The percentage of American Indian residents is the same in both Monroe and Okeechobee at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Monroe | Okeechobee |
|---|---|---|
| Mental Health Not Good | 19.4% | 17.3% |
| Physical Health Not Good | 13.2% | 13.1% |
| Depression | 25.7% | 20.1% |
| Smoking | 21.6% | 23.7% |
| Binge Drinking | 17.5% | 15.4% |
| Obesity | 43.7% | 33.9% |
| Disability Percentage | 16.0% | 15.0% |
Health Statistics Comparison: Monroe vs Okeechobee
- More residents in Monroe report poor mental health at 19.4% compared to 17.3% in Okeechobee.
- Depression is more prevalent in Monroe at 25.7% compared to 20.1% in Okeechobee.
- Okeechobee has a higher smoking rate at 23.7% compared to 21.6% in Monroe.
- Binge drinking is more common in Monroe at 17.5% compared to 15.4% in Okeechobee.
- Obesity rates are higher in Monroe at 43.7% compared to 33.9% in Okeechobee.
- Disability percentages are higher in Monroe at 16.0% 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 | Monroe | Okeechobee |
|---|---|---|
| No Schooling | 0.5% (105) | 1.9% (751) |
| High School Diploma | 17.0% (3,449) | 18.6% (7,520) |
| Less than High School | 13.0% (2,633) | 26.7% (10,783) |
| Bachelor's Degree and Higher | 13.2% (2,681) | 11.8% (4,773) |
Education Levels Comparison: Monroe vs Okeechobee
- In Okeechobee, a larger percentage of residents lack formal schooling at 1.9% compared to 0.5% in Monroe.
- In Okeechobee, the rate of residents with high school diplomas is higher at 18.6% compared to 17.0% in Monroe.
- The percentage of residents with less than a high school education is higher in Okeechobee at 26.7%, compared to 13.0% in Monroe.
- A higher percentage of residents in Monroe hold a bachelor's degree or higher at 13.2% 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.