Demographics details for Marshall, MI vs Okeechobee, FL
Population Overview
Compare main population characteristics in Marshall, MI vs Okeechobee, FL.
| Data | Marshall | Okeechobee |
|---|---|---|
| Population | 6,753 | 40,412 |
| Median Age | 45.4 years | 40.8 years |
| Median Income | $72,813 | $50,476 |
| Married Families | 43.0% | 38.0% |
| Poverty Level | 9% | 16% |
| Unemployment Rate | 4.2 | 3.7 |
Population Comparison: Marshall vs Okeechobee
- The population in Okeechobee is higher at 40,412, compared to 6,753 in Marshall.
- Residents in Marshall have a higher median age of 45.4 years compared to 40.8 years in Okeechobee.
- Marshall has a higher median income of $72,813 compared to $50,476 in Okeechobee.
- A higher percentage of married families is found in Marshall at 43.0% compared to 38.0% in Okeechobee.
- The poverty level is higher in Okeechobee at 16%, compared to 9% in Marshall.
- The unemployment rate in Marshall is higher at 4.2%, compared to 3.7% in Okeechobee.
Demographics
Demographics Marshall vs Okeechobee provide insight into the diversity of the communities to compare.
| Demographic | Marshall | Okeechobee |
|---|---|---|
| Black | Data is updating | 8 |
| White | 94 | 58 |
| Asian | Data is updating | 1 |
| Hispanic | 4 | 26 |
| Two or More Races | 2 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Marshall vs Okeechobee
- In Okeechobee, the percentage of Black residents is higher at 8% compared to 0% in Marshall.
- Marshall has a higher percentage of White residents at 94% compared to 58% in Okeechobee.
- In Okeechobee, the Asian population stands at 1%, greater than 0% in Marshall.
- Okeechobee has a higher percentage of Hispanic residents at 26%, compared to 4% in Marshall.
- The percentage of residents identifying as two or more races is higher in Okeechobee at 7%, compared to 2% in Marshall.
- The percentage of American Indian residents is the same in both Marshall and Okeechobee at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marshall | Okeechobee |
|---|---|---|
| Mental Health Not Good | 17.0% | 17.3% |
| Physical Health Not Good | 10.6% | 13.1% |
| Depression | 25.2% | 20.1% |
| Smoking | 17.3% | 23.7% |
| Binge Drinking | 18.0% | 15.4% |
| Obesity | 37.5% | 33.9% |
| Disability Percentage | 11.0% | 15.0% |
Health Statistics Comparison: Marshall vs Okeechobee
- In Okeechobee, a higher percentage report poor mental health at 17.3% compared to 17.0% in Marshall.
- Depression is more prevalent in Marshall at 25.2% compared to 20.1% in Okeechobee.
- Okeechobee has a higher smoking rate at 23.7% compared to 17.3% in Marshall.
- Binge drinking is more common in Marshall at 18.0% compared to 15.4% in Okeechobee.
- Obesity rates are higher in Marshall at 37.5% compared to 33.9% in Okeechobee.
- There is a higher percentage of disabled individuals in Okeechobee at 15.0% compared to 11.0% in Marshall.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marshall | Okeechobee |
|---|---|---|
| No Schooling | 0.7% (46) | 1.9% (751) |
| High School Diploma | 15.8% (1,067) | 18.6% (7,520) |
| Less than High School | 7.3% (493) | 26.7% (10,783) |
| Bachelor's Degree and Higher | 33.1% (2,233) | 11.8% (4,773) |
Education Levels Comparison: Marshall vs Okeechobee
- In Okeechobee, a larger percentage of residents lack formal schooling at 1.9% compared to 0.7% in Marshall.
- In Okeechobee, the rate of residents with high school diplomas is higher at 18.6% compared to 15.8% in Marshall.
- The percentage of residents with less than a high school education is higher in Okeechobee at 26.7%, compared to 7.3% in Marshall.
- A higher percentage of residents in Marshall hold a bachelor's degree or higher at 33.1% 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.