Demographics details for Erie, PA vs Coconut creek, FL
Population Overview
Compare main population characteristics in Erie, PA vs Coconut creek, FL.
| Data | Erie | Coconut creek |
|---|---|---|
| Population | 93,511 | 57,348 |
| Median Age | 35.0 years | 42.4 years |
| Median Income | $43,135 | $72,740 |
| Married Families | 27.0% | 37.0% |
| Poverty Level | 20% | 10% |
| Unemployment Rate | 3.9 | 3.2 |
Population Comparison: Erie vs Coconut creek
- In Erie, the population is higher at 93,511, compared to 57,348 in Coconut creek.
- The median age in Coconut creek is higher at 42.4 years, compared to 35.0 years in Erie.
- Coconut creek has a higher median income of $72,740, compared to $43,135 in Erie.
- In Coconut creek, the percentage of married families is higher at 37.0%, compared to 27.0% in Erie.
- Erie has a higher poverty level at 20% compared to 10% in Coconut creek.
- The unemployment rate in Erie is higher at 3.9%, compared to 3.2% in Coconut creek.
Demographics
Demographics Erie vs Coconut creek provide insight into the diversity of the communities to compare.
| Demographic | Erie | Coconut creek |
|---|---|---|
| Black | 17 | 15 |
| White | 65 | 39 |
| Asian | 2 | 3 |
| Hispanic | 8 | 27 |
| Two or More Races | 8 | 16 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Erie vs Coconut creek
- A higher percentage of Black residents are in Erie at 17% compared to 15% in Coconut creek.
- Erie has a higher percentage of White residents at 65% compared to 39% in Coconut creek.
- In Coconut creek, the Asian population stands at 3%, greater than 2% in Erie.
- Coconut creek has a higher percentage of Hispanic residents at 27%, compared to 8% in Erie.
- The percentage of residents identifying as two or more races is higher in Coconut creek at 16%, compared to 8% in Erie.
- The percentage of American Indian residents is the same in both Erie and Coconut creek at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Erie | Coconut creek |
|---|---|---|
| Mental Health Not Good | 19.6% | 15.4% |
| Physical Health Not Good | 15.0% | 9.9% |
| Depression | 23.2% | 17.8% |
| Smoking | 25.2% | 16.2% |
| Binge Drinking | 16.5% | 15.6% |
| Obesity | 41.6% | 27.5% |
| Disability Percentage | 18.0% | 11.0% |
Health Statistics Comparison: Erie vs Coconut creek
- More residents in Erie report poor mental health at 19.6% compared to 15.4% in Coconut creek.
- Depression is more prevalent in Erie at 23.2% compared to 17.8% in Coconut creek.
- Smoking is more prevalent in Erie at 25.2% compared to 16.2% in Coconut creek.
- Binge drinking is more common in Erie at 16.5% compared to 15.6% in Coconut creek.
- Obesity rates are higher in Erie at 41.6% compared to 27.5% in Coconut creek.
- Disability percentages are higher in Erie at 18.0% 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 | Erie | Coconut creek |
|---|---|---|
| No Schooling | 1.6% (1,478) | 1.4% (831) |
| High School Diploma | 21.4% (20,036) | 16.6% (9,506) |
| Less than High School | 12.8% (11,949) | 8.9% (5,111) |
| Bachelor's Degree and Higher | 14.9% (13,967) | 26.5% (15,196) |
Education Levels Comparison: Erie vs Coconut creek
- A higher percentage of residents in Erie have no formal schooling at 1.6% compared to 1.4% in Coconut creek.
- A higher percentage of residents in Erie hold a high school diploma at 21.4% compared to 16.6% in Coconut creek.
- More residents in Erie have less than a high school education at 12.8% compared to 8.9% in Coconut creek.
- In Coconut creek, a larger share of residents have a bachelor's degree or higher at 26.5% compared to 14.9% in Erie.
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.