Demographics details for Coconut creek, FL vs Hannibal, MO
Population Overview
Compare main population characteristics in Coconut creek, FL vs Hannibal, MO.
Data | Coconut creek | Hannibal |
---|---|---|
Population | 57,348 | 16,938 |
Median Age | 42.4 years | 38.5 years |
Median Income | $72,740 | $52,746 |
Married Families | 37.0% | 35.0% |
Poverty Level | 10% | 12% |
Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Coconut creek vs Hannibal
- In Coconut creek, the population is higher at 57,348, compared to 16,938 in Hannibal.
- Residents in Coconut creek have a higher median age of 42.4 years compared to 38.5 years in Hannibal.
- Coconut creek has a higher median income of $72,740 compared to $52,746 in Hannibal.
- A higher percentage of married families is found in Coconut creek at 37.0% compared to 35.0% in Hannibal.
- The poverty level is higher in Hannibal at 12%, compared to 10% in Coconut creek.
- Hannibal has a higher unemployment rate at 3.5% compared to 3.2% in Coconut creek.
Demographics
Demographics Coconut creek vs Hannibal provide insight into the diversity of the communities to compare.
Demographic | Coconut creek | Hannibal |
---|---|---|
Black | 15 | 8 |
White | 39 | 87 |
Asian | 3 | 1 |
Hispanic | 27 | 1 |
Two or More Races | 16 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Coconut creek vs Hannibal
- A higher percentage of Black residents are in Coconut creek at 15% compared to 8% in Hannibal.
- The percentage of White residents is higher in Hannibal at 87% compared to 39% in Coconut creek.
- The Asian population is larger in Coconut creek at 3% compared to 1% in Hannibal.
- The Hispanic community is larger in Coconut creek at 27% compared to 1% in Hannibal.
- More residents identify as two or more races in Coconut creek at 16% compared to 3% in Hannibal.
- The percentage of American Indian residents is the same in both Coconut creek and Hannibal at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Coconut creek | Hannibal |
---|---|---|
Mental Health Not Good | 15.4% | 19.3% |
Physical Health Not Good | 9.9% | 14.1% |
Depression | 17.8% | 25.4% |
Smoking | 16.2% | 23.7% |
Binge Drinking | 15.6% | 17.8% |
Obesity | 27.5% | 42.0% |
Disability Percentage | 11.0% | 17.0% |
Health Statistics Comparison: Coconut creek vs Hannibal
- In Hannibal, a higher percentage report poor mental health at 19.3% compared to 15.4% in Coconut creek.
- Higher depression rates are seen in Hannibal at 25.4% versus 17.8% in Coconut creek.
- Hannibal has a higher smoking rate at 23.7% compared to 16.2% in Coconut creek.
- More residents engage in binge drinking in Hannibal at 17.8% compared to 15.6% in Coconut creek.
- Hannibal has higher obesity rates at 42.0% compared to 27.5% in Coconut creek.
- There is a higher percentage of disabled individuals in Hannibal at 17.0% compared to 11.0% in Coconut creek.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Coconut creek | Hannibal |
---|---|---|
No Schooling | 1.4% (831) | 1.1% (183) |
High School Diploma | 16.6% (9,506) | 22.3% (3,780) |
Less than High School | 8.9% (5,111) | 15.6% (2,643) |
Bachelor's Degree and Higher | 26.5% (15,196) | 15.0% (2,536) |
Education Levels Comparison: Coconut creek vs Hannibal
- A higher percentage of residents in Coconut creek have no formal schooling at 1.4% compared to 1.1% in Hannibal.
- In Hannibal, the rate of residents with high school diplomas is higher at 22.3% compared to 16.6% in Coconut creek.
- The percentage of residents with less than a high school education is higher in Hannibal at 15.6%, compared to 8.9% in Coconut creek.
- A higher percentage of residents in Coconut creek hold a bachelor's degree or higher at 26.5% compared to 15.0% in Hannibal.
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.