Demographics details for Cocoa beach, FL vs New london, CT
Population Overview
Compare main population characteristics in Cocoa beach, FL vs New london, CT.
Data | Cocoa beach | New london |
---|---|---|
Population | 11,341 | 27,980 |
Median Age | 58.6 years | 35.5 years |
Median Income | $80,880 | $56,237 |
Married Families | 50.0% | 24.0% |
Poverty Level | 7% | 12% |
Unemployment Rate | 3.5 | 3.6 |
Population Comparison: Cocoa beach vs New london
- The population in New london is higher at 27,980, compared to 11,341 in Cocoa beach.
- Residents in Cocoa beach have a higher median age of 58.6 years compared to 35.5 years in New london.
- Cocoa beach has a higher median income of $80,880 compared to $56,237 in New london.
- A higher percentage of married families is found in Cocoa beach at 50.0% compared to 24.0% in New london.
- The poverty level is higher in New london at 12%, compared to 7% in Cocoa beach.
- New london has a higher unemployment rate at 3.6% compared to 3.5% in Cocoa beach.
Demographics
Demographics Cocoa beach vs New london provide insight into the diversity of the communities to compare.
Demographic | Cocoa beach | New london |
---|---|---|
Black | 1 | 17 |
White | 85 | 41 |
Asian | 1 | 2 |
Hispanic | 7 | 29 |
Two or More Races | 6 | 11 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Cocoa beach vs New london
- In New london, the percentage of Black residents is higher at 17% compared to 1% in Cocoa beach.
- Cocoa beach has a higher percentage of White residents at 85% compared to 41% in New london.
- In New london, the Asian population stands at 2%, greater than 1% in Cocoa beach.
- New london has a higher percentage of Hispanic residents at 29%, compared to 7% in Cocoa beach.
- The percentage of residents identifying as two or more races is higher in New london at 11%, compared to 6% in Cocoa beach.
- The percentage of American Indian residents is the same in both Cocoa beach and New london at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cocoa beach | New london |
---|---|---|
Mental Health Not Good | 14.6% | 17.9% |
Physical Health Not Good | 8.7% | 12.5% |
Depression | 19.5% | 23.3% |
Smoking | 14.5% | 19.5% |
Binge Drinking | 17.9% | 15.2% |
Obesity | 29.4% | 37.1% |
Disability Percentage | 19.0% | 14.0% |
Health Statistics Comparison: Cocoa beach vs New london
- In New london, a higher percentage report poor mental health at 17.9% compared to 14.6% in Cocoa beach.
- Higher depression rates are seen in New london at 23.3% versus 19.5% in Cocoa beach.
- New london has a higher smoking rate at 19.5% compared to 14.5% in Cocoa beach.
- Binge drinking is more common in Cocoa beach at 17.9% compared to 15.2% in New london.
- New london has higher obesity rates at 37.1% compared to 29.4% in Cocoa beach.
- Disability percentages are higher in Cocoa beach at 19.0% compared to 14.0% in New london.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cocoa beach | New london |
---|---|---|
No Schooling | 0.4% (48) | 1.4% (399) |
High School Diploma | 11.7% (1,326) | 16.0% (4,487) |
Less than High School | 4.7% (532) | 13.7% (3,830) |
Bachelor's Degree and Higher | 43.6% (4,948) | 16.9% (4,738) |
Education Levels Comparison: Cocoa beach vs New london
- In New london, a larger percentage of residents lack formal schooling at 1.4% compared to 0.4% in Cocoa beach.
- In New london, the rate of residents with high school diplomas is higher at 16.0% compared to 11.7% in Cocoa beach.
- The percentage of residents with less than a high school education is higher in New london at 13.7%, 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 16.9% in New london.
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.