Demographics details for Ocoee, FL vs Mountain home, AR
Population Overview
Compare main population characteristics in Ocoee, FL vs Mountain home, AR.
| Data | Ocoee | Mountain home |
|---|---|---|
| Population | 48,198 | 13,150 |
| Median Age | 35.1 years | 41.8 years |
| Median Income | $88,828 | $42,281 |
| Married Families | 38.0% | 38.0% |
| Poverty Level | Data is updating | 14% |
| Unemployment Rate | 3.0 | 3.5 |
Population Comparison: Ocoee vs Mountain home
- In Ocoee, the population is higher at 48,198, compared to 13,150 in Mountain home.
- The median age in Mountain home is higher at 41.8 years, compared to 35.1 years in Ocoee.
- Ocoee has a higher median income of $88,828 compared to $42,281 in Mountain home.
- The percentage of married families is the same in both Ocoee and Mountain home at 38.0%.
- The poverty level is higher in Mountain home at 14%, compared to 0% in Ocoee.
- Mountain home has a higher unemployment rate at 3.5% compared to 3.0% in Ocoee.
Demographics
Demographics Ocoee vs Mountain home provide insight into the diversity of the communities to compare.
| Demographic | Ocoee | Mountain home |
|---|---|---|
| Black | 22 | Data is updating |
| White | 31 | 90 |
| Asian | 6 | 1 |
| Hispanic | 29 | 4 |
| Two or More Races | 11 | 4 |
| American Indian | 1 | 1 |
Demographics Comparison: Ocoee vs Mountain home
- A higher percentage of Black residents are in Ocoee at 22% compared to 0% in Mountain home.
- The percentage of White residents is higher in Mountain home at 90% compared to 31% in Ocoee.
- The Asian population is larger in Ocoee at 6% compared to 1% in Mountain home.
- The Hispanic community is larger in Ocoee at 29% compared to 4% in Mountain home.
- More residents identify as two or more races in Ocoee at 11% compared to 4% in Mountain home.
- The percentage of American Indian residents is the same in both Ocoee and Mountain home at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ocoee | Mountain home |
|---|---|---|
| Mental Health Not Good | 15.5% | 19.2% |
| Physical Health Not Good | 10.7% | 12.9% |
| Depression | 17.7% | 28.5% |
| Smoking | 17.6% | 21.1% |
| Binge Drinking | 14.8% | 16.3% |
| Obesity | 28.7% | 34.3% |
| Disability Percentage | 10.0% | 22.0% |
Health Statistics Comparison: Ocoee vs Mountain home
- In Mountain home, a higher percentage report poor mental health at 19.2% compared to 15.5% in Ocoee.
- Higher depression rates are seen in Mountain home at 28.5% versus 17.7% in Ocoee.
- Mountain home has a higher smoking rate at 21.1% compared to 17.6% in Ocoee.
- More residents engage in binge drinking in Mountain home at 16.3% compared to 14.8% in Ocoee.
- Mountain home has higher obesity rates at 34.3% compared to 28.7% in Ocoee.
- There is a higher percentage of disabled individuals in Mountain home at 22.0% compared to 10.0% in Ocoee.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ocoee | Mountain home |
|---|---|---|
| No Schooling | 1.8% (858) | 0.7% (87) |
| High School Diploma | 12.8% (6,162) | 16.9% (2,225) |
| Less than High School | 17.8% (8,582) | 14.2% (1,870) |
| Bachelor's Degree and Higher | 19.3% (9,293) | 15.0% (1,973) |
Education Levels Comparison: Ocoee vs Mountain home
- A higher percentage of residents in Ocoee have no formal schooling at 1.8% compared to 0.7% in Mountain home.
- In Mountain home, the rate of residents with high school diplomas is higher at 16.9% compared to 12.8% in Ocoee.
- More residents in Ocoee have less than a high school education at 17.8% compared to 14.2% in Mountain home.
- A higher percentage of residents in Ocoee hold a bachelor's degree or higher at 19.3% compared to 15.0% in Mountain home.
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.