Demographics details for Warren, MI vs Okeechobee, FL
Population Overview
Compare main population characteristics in Warren, MI vs Okeechobee, FL.
| Data | Warren | Okeechobee |
|---|---|---|
| Population | 137,107 | 40,412 |
| Median Age | 38.5 years | 40.8 years |
| Median Income | $61,633 | $50,476 |
| Married Families | 35.0% | 38.0% |
| Poverty Level | 10% | 16% |
| Unemployment Rate | 5.9 | 3.7 |
Population Comparison: Warren vs Okeechobee
- In Warren, the population is higher at 137,107, compared to 40,412 in Okeechobee.
- The median age in Okeechobee is higher at 40.8 years, compared to 38.5 years in Warren.
- Warren has a higher median income of $61,633 compared to $50,476 in Okeechobee.
- In Okeechobee, the percentage of married families is higher at 38.0%, compared to 35.0% in Warren.
- The poverty level is higher in Okeechobee at 16%, compared to 10% in Warren.
- The unemployment rate in Warren is higher at 5.9%, compared to 3.7% in Okeechobee.
Demographics
Demographics Warren vs Okeechobee provide insight into the diversity of the communities to compare.
| Demographic | Warren | Okeechobee |
|---|---|---|
| Black | 20 | 8 |
| White | 61 | 58 |
| Asian | 11 | 1 |
| Hispanic | 3 | 26 |
| Two or More Races | 5 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Warren vs Okeechobee
- A higher percentage of Black residents are in Warren at 20% compared to 8% in Okeechobee.
- Warren has a higher percentage of White residents at 61% compared to 58% in Okeechobee.
- The Asian population is larger in Warren at 11% compared to 1% in Okeechobee.
- Okeechobee has a higher percentage of Hispanic residents at 26%, compared to 3% in Warren.
- The percentage of residents identifying as two or more races is higher in Okeechobee at 7%, compared to 5% in Warren.
- The percentage of American Indian residents is the same in both Warren and Okeechobee at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Warren | Okeechobee |
|---|---|---|
| Mental Health Not Good | 19.4% | 17.3% |
| Physical Health Not Good | 13.1% | 13.1% |
| Depression | 26.2% | 20.1% |
| Smoking | 23.5% | 23.7% |
| Binge Drinking | 16.8% | 15.4% |
| Obesity | 39.9% | 33.9% |
| Disability Percentage | 16.0% | 15.0% |
Health Statistics Comparison: Warren vs Okeechobee
- More residents in Warren report poor mental health at 19.4% compared to 17.3% in Okeechobee.
- Depression is more prevalent in Warren at 26.2% compared to 20.1% in Okeechobee.
- Okeechobee has a higher smoking rate at 23.7% compared to 23.5% in Warren.
- Binge drinking is more common in Warren at 16.8% compared to 15.4% in Okeechobee.
- Obesity rates are higher in Warren at 39.9% compared to 33.9% in Okeechobee.
- Disability percentages are higher in Warren 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 | Warren | Okeechobee |
|---|---|---|
| No Schooling | 2.2% (3,043) | 1.9% (751) |
| High School Diploma | 20.2% (27,646) | 18.6% (7,520) |
| Less than High School | 16.6% (22,733) | 26.7% (10,783) |
| Bachelor's Degree and Higher | 14.3% (19,563) | 11.8% (4,773) |
Education Levels Comparison: Warren vs Okeechobee
- A higher percentage of residents in Warren have no formal schooling at 2.2% compared to 1.9% in Okeechobee.
- A higher percentage of residents in Warren hold a high school diploma at 20.2% compared to 18.6% in Okeechobee.
- The percentage of residents with less than a high school education is higher in Okeechobee at 26.7%, compared to 16.6% in Warren.
- A higher percentage of residents in Warren hold a bachelor's degree or higher at 14.3% 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.