Demographics details for Cocoa beach, FL vs Luling, TX
Population Overview
Compare main population characteristics in Cocoa beach, FL vs Luling, TX.
| Data | Cocoa beach | Luling |
|---|---|---|
| Population | 11,341 | 5,545 |
| Median Age | 58.6 years | 50.3 years |
| Median Income | $80,880 | $59,773 |
| Married Families | 50.0% | 43.0% |
| Poverty Level | 7% | 12% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Cocoa beach vs Luling
- In Cocoa beach, the population is higher at 11,341, compared to 5,545 in Luling.
- Residents in Cocoa beach have a higher median age of 58.6 years compared to 50.3 years in Luling.
- Cocoa beach has a higher median income of $80,880 compared to $59,773 in Luling.
- A higher percentage of married families is found in Cocoa beach at 50.0% compared to 43.0% in Luling.
- The poverty level is higher in Luling at 12%, compared to 7% in Cocoa beach.
- Luling has a higher unemployment rate at 4.5% compared to 3.5% in Cocoa beach.
Demographics
Demographics Cocoa beach vs Luling provide insight into the diversity of the communities to compare.
| Demographic | Cocoa beach | Luling |
|---|---|---|
| Black | 1 | 8 |
| White | 85 | 12 |
| Asian | 1 | 1 |
| Hispanic | 7 | 54 |
| Two or More Races | 6 | 25 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cocoa beach vs Luling
- In Luling, the percentage of Black residents is higher at 8% compared to 1% in Cocoa beach.
- Cocoa beach has a higher percentage of White residents at 85% compared to 12% in Luling.
- Both Cocoa beach and Luling have the same percentage of Asian residents at 1%.
- Luling has a higher percentage of Hispanic residents at 54%, compared to 7% in Cocoa beach.
- The percentage of residents identifying as two or more races is higher in Luling at 25%, compared to 6% in Cocoa beach.
- The percentage of American Indian residents is the same in both Cocoa beach and Luling at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cocoa beach | Luling |
|---|---|---|
| Mental Health Not Good | 14.6% | 19.4% |
| Physical Health Not Good | 8.7% | 15.4% |
| Depression | 19.5% | 23.2% |
| Smoking | 14.5% | 20.8% |
| Binge Drinking | 17.9% | 15.6% |
| Obesity | 29.4% | 43.9% |
| Disability Percentage | 19.0% | 17.0% |
Health Statistics Comparison: Cocoa beach vs Luling
- In Luling, a higher percentage report poor mental health at 19.4% compared to 14.6% in Cocoa beach.
- Higher depression rates are seen in Luling at 23.2% versus 19.5% in Cocoa beach.
- Luling has a higher smoking rate at 20.8% compared to 14.5% in Cocoa beach.
- Binge drinking is more common in Cocoa beach at 17.9% compared to 15.6% in Luling.
- Luling has higher obesity rates at 43.9% compared to 29.4% in Cocoa beach.
- Disability percentages are higher in Cocoa beach at 19.0% compared to 17.0% in Luling.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cocoa beach | Luling |
|---|---|---|
| No Schooling | 0.4% (48) | 3.9% (214) |
| High School Diploma | 11.7% (1,326) | 25.5% (1,415) |
| Less than High School | 4.7% (532) | 39.5% (2,189) |
| Bachelor's Degree and Higher | 43.6% (4,948) | 10.1% (560) |
Education Levels Comparison: Cocoa beach vs Luling
- In Luling, a larger percentage of residents lack formal schooling at 3.9% compared to 0.4% in Cocoa beach.
- In Luling, the rate of residents with high school diplomas is higher at 25.5% compared to 11.7% in Cocoa beach.
- The percentage of residents with less than a high school education is higher in Luling at 39.5%, compared to 4.7% in Cocoa beach.
- A higher percentage of residents in Cocoa beach hold a bachelor's degree or higher at 43.6% compared to 10.1% in Luling.
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.