Demographics details for Ocoee, FL vs Cedar bluff, VA
Population Overview
Compare main population characteristics in Ocoee, FL vs Cedar bluff, VA.
Data | Ocoee | Cedar bluff |
---|---|---|
Population | 48,198 | 1,045 |
Median Age | 35.1 years | 48.9 years |
Median Income | $88,828 | $41,094 |
Married Families | 38.0% | 54.0% |
Poverty Level | Data is updating | 8% |
Unemployment Rate | 3.0 | 4.2 |
Population Comparison: Ocoee vs Cedar bluff
- In Ocoee, the population is higher at 48,198, compared to 1,045 in Cedar bluff.
- The median age in Cedar bluff is higher at 48.9 years, compared to 35.1 years in Ocoee.
- Ocoee has a higher median income of $88,828 compared to $41,094 in Cedar bluff.
- In Cedar bluff, the percentage of married families is higher at 54.0%, compared to 38.0% in Ocoee.
- The poverty level is higher in Cedar bluff at 8%, compared to 0% in Ocoee.
- Cedar bluff has a higher unemployment rate at 4.2% compared to 3.0% in Ocoee.
Demographics
Demographics Ocoee vs Cedar bluff provide insight into the diversity of the communities to compare.
Demographic | Ocoee | Cedar bluff |
---|---|---|
Black | 22 | Data is updating |
White | 31 | 100 |
Asian | 6 | Data is updating |
Hispanic | 29 | Data is updating |
Two or More Races | 11 | Data is updating |
American Indian | 1 | Data is updating |
Demographics Comparison: Ocoee vs Cedar bluff
- A higher percentage of Black residents are in Ocoee at 22% compared to 0% in Cedar bluff.
- The percentage of White residents is higher in Cedar bluff at 100% compared to 31% in Ocoee.
- The Asian population is larger in Ocoee at 6% compared to 0% in Cedar bluff.
- The Hispanic community is larger in Ocoee at 29% compared to 0% in Cedar bluff.
- More residents identify as two or more races in Ocoee at 11% compared to 0% in Cedar bluff.
- A greater percentage of American Indian residents live in Ocoee at 1% compared to 0% in Cedar bluff.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Ocoee | Cedar bluff |
---|---|---|
Mental Health Not Good | 15.5% | 19.8% |
Physical Health Not Good | 10.7% | 13.5% |
Depression | 17.7% | 28.4% |
Smoking | 17.6% | 21.7% |
Binge Drinking | 14.8% | 18.0% |
Obesity | 28.7% | 36.2% |
Disability Percentage | 10.0% | 22.0% |
Health Statistics Comparison: Ocoee vs Cedar bluff
- In Cedar bluff, a higher percentage report poor mental health at 19.8% compared to 15.5% in Ocoee.
- Higher depression rates are seen in Cedar bluff at 28.4% versus 17.7% in Ocoee.
- Cedar bluff has a higher smoking rate at 21.7% compared to 17.6% in Ocoee.
- More residents engage in binge drinking in Cedar bluff at 18.0% compared to 14.8% in Ocoee.
- Cedar bluff has higher obesity rates at 36.2% compared to 28.7% in Ocoee.
- There is a higher percentage of disabled individuals in Cedar bluff 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 | Cedar bluff |
---|---|---|
No Schooling | 1.8% (858) | 0.0% (Data is updating) |
High School Diploma | 12.8% (6,162) | 32.9% (344) |
Less than High School | 17.8% (8,582) | 19.7% (206) |
Bachelor's Degree and Higher | 19.3% (9,293) | 13.0% (136) |
Education Levels Comparison: Ocoee vs Cedar bluff
- A higher percentage of residents in Ocoee have no formal schooling at 1.8% compared to 0.0% in Cedar bluff.
- In Cedar bluff, the rate of residents with high school diplomas is higher at 32.9% compared to 12.8% in Ocoee.
- The percentage of residents with less than a high school education is higher in Cedar bluff at 19.7%, compared to 17.8% in Ocoee.
- A higher percentage of residents in Ocoee hold a bachelor's degree or higher at 19.3% compared to 13.0% in Cedar bluff.
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.