Demographics details for Shelbina, MO vs Okeechobee, FL
Population Overview
Compare main population characteristics in Shelbina, MO vs Okeechobee, FL.
| Data | Shelbina | Okeechobee |
|---|---|---|
| Population | 1,582 | 40,412 |
| Median Age | 37.6 years | 40.8 years |
| Median Income | $52,050 | $50,476 |
| Married Families | 51.0% | 38.0% |
| Poverty Level | 11% | 16% |
| Unemployment Rate | 3.5 | 3.7 |
Population Comparison: Shelbina vs Okeechobee
- The population in Okeechobee is higher at 40,412, compared to 1,582 in Shelbina.
- The median age in Okeechobee is higher at 40.8 years, compared to 37.6 years in Shelbina.
- Shelbina has a higher median income of $52,050 compared to $50,476 in Okeechobee.
- A higher percentage of married families is found in Shelbina at 51.0% compared to 38.0% in Okeechobee.
- The poverty level is higher in Okeechobee at 16%, compared to 11% in Shelbina.
- Okeechobee has a higher unemployment rate at 3.7% compared to 3.5% in Shelbina.
Demographics
Demographics Shelbina vs Okeechobee provide insight into the diversity of the communities to compare.
| Demographic | Shelbina | Okeechobee |
|---|---|---|
| Black | 5 | 8 |
| White | 89 | 58 |
| Asian | Data is updating | 1 |
| Hispanic | 3 | 26 |
| Two or More Races | 1 | 7 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Shelbina vs Okeechobee
- In Okeechobee, the percentage of Black residents is higher at 8% compared to 5% in Shelbina.
- Shelbina has a higher percentage of White residents at 89% compared to 58% in Okeechobee.
- In Okeechobee, the Asian population stands at 1%, greater than 0% in Shelbina.
- Okeechobee has a higher percentage of Hispanic residents at 26%, compared to 3% in Shelbina.
- The percentage of residents identifying as two or more races is higher in Okeechobee at 7%, compared to 1% in Shelbina.
- A greater percentage of American Indian residents live in Shelbina at 2% compared to 0% in Okeechobee.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Shelbina | Okeechobee |
|---|---|---|
| Mental Health Not Good | 19.2% | 17.3% |
| Physical Health Not Good | 14.0% | 13.1% |
| Depression | 26.4% | 20.1% |
| Smoking | 23.4% | 23.7% |
| Binge Drinking | 17.6% | 15.4% |
| Obesity | 39.6% | 33.9% |
| Disability Percentage | 20.0% | 15.0% |
Health Statistics Comparison: Shelbina vs Okeechobee
- More residents in Shelbina report poor mental health at 19.2% compared to 17.3% in Okeechobee.
- Depression is more prevalent in Shelbina at 26.4% compared to 20.1% in Okeechobee.
- Okeechobee has a higher smoking rate at 23.7% compared to 23.4% in Shelbina.
- Binge drinking is more common in Shelbina at 17.6% compared to 15.4% in Okeechobee.
- Obesity rates are higher in Shelbina at 39.6% compared to 33.9% in Okeechobee.
- Disability percentages are higher in Shelbina at 20.0% 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 | Shelbina | Okeechobee |
|---|---|---|
| No Schooling | 0.2% (3) | 1.9% (751) |
| High School Diploma | 31.1% (492) | 18.6% (7,520) |
| Less than High School | 17.6% (279) | 26.7% (10,783) |
| Bachelor's Degree and Higher | 14.2% (225) | 11.8% (4,773) |
Education Levels Comparison: Shelbina vs Okeechobee
- In Okeechobee, a larger percentage of residents lack formal schooling at 1.9% compared to 0.2% in Shelbina.
- A higher percentage of residents in Shelbina hold a high school diploma at 31.1% 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 17.6% in Shelbina.
- A higher percentage of residents in Shelbina hold a bachelor's degree or higher at 14.2% 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.