Demographics details for Toledo, OR vs Cocoa beach, FL
Population Overview
Compare main population characteristics in Toledo, OR vs Cocoa beach, FL.
| Data | Toledo | Cocoa beach |
|---|---|---|
| Population | 3,541 | 11,341 |
| Median Age | 41.6 years | 58.6 years |
| Median Income | $46,477 | $80,880 |
| Married Families | 30.0% | 50.0% |
| Poverty Level | 10% | 7% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Toledo vs Cocoa beach
- The population in Cocoa beach is higher at 11,341, compared to 3,541 in Toledo.
- The median age in Cocoa beach is higher at 58.6 years, compared to 41.6 years in Toledo.
- Cocoa beach has a higher median income of $80,880, compared to $46,477 in Toledo.
- In Cocoa beach, the percentage of married families is higher at 50.0%, compared to 30.0% in Toledo.
- Toledo has a higher poverty level at 10% compared to 7% in Cocoa beach.
- The unemployment rate is the same in both Toledo and Cocoa beach at 3.5%.
Demographics
Demographics Toledo vs Cocoa beach provide insight into the diversity of the communities to compare.
| Demographic | Toledo | Cocoa beach |
|---|---|---|
| Black | Data is updating | 1 |
| White | 76 | 85 |
| Asian | Data is updating | 1 |
| Hispanic | 13 | 7 |
| Two or More Races | 10 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Toledo vs Cocoa beach
- In Cocoa beach, the percentage of Black residents is higher at 1% compared to 0% in Toledo.
- The percentage of White residents is higher in Cocoa beach at 85% compared to 76% in Toledo.
- In Cocoa beach, the Asian population stands at 1%, greater than 0% in Toledo.
- The Hispanic community is larger in Toledo at 13% compared to 7% in Cocoa beach.
- More residents identify as two or more races in Toledo at 10% compared to 6% in Cocoa beach.
- A greater percentage of American Indian residents live in Toledo at 1% compared to 0% in Cocoa beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Toledo | Cocoa beach |
|---|---|---|
| Mental Health Not Good | 19.9% | 14.6% |
| Physical Health Not Good | 11.9% | 8.7% |
| Depression | 29.1% | 19.5% |
| Smoking | 17.1% | 14.5% |
| Binge Drinking | 18.1% | 17.9% |
| Obesity | 34.9% | 29.4% |
| Disability Percentage | 21.0% | 19.0% |
Health Statistics Comparison: Toledo vs Cocoa beach
- More residents in Toledo report poor mental health at 19.9% compared to 14.6% in Cocoa beach.
- Depression is more prevalent in Toledo at 29.1% compared to 19.5% in Cocoa beach.
- Smoking is more prevalent in Toledo at 17.1% compared to 14.5% in Cocoa beach.
- Binge drinking is more common in Toledo at 18.1% compared to 17.9% in Cocoa beach.
- Obesity rates are higher in Toledo at 34.9% compared to 29.4% in Cocoa beach.
- Disability percentages are higher in Toledo at 21.0% compared to 19.0% in Cocoa beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Toledo | Cocoa beach |
|---|---|---|
| No Schooling | 1.0% (36) | 0.4% (48) |
| High School Diploma | 14.8% (525) | 11.7% (1,326) |
| Less than High School | 16.2% (572) | 4.7% (532) |
| Bachelor's Degree and Higher | 20.0% (707) | 43.6% (4,948) |
Education Levels Comparison: Toledo vs Cocoa beach
- A higher percentage of residents in Toledo have no formal schooling at 1.0% compared to 0.4% in Cocoa beach.
- A higher percentage of residents in Toledo hold a high school diploma at 14.8% compared to 11.7% in Cocoa beach.
- More residents in Toledo have less than a high school education at 16.2% compared to 4.7% in Cocoa beach.
- In Cocoa beach, a larger share of residents have a bachelor's degree or higher at 43.6% compared to 20.0% in Toledo.
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.