Demographics details for Deerfield beach, FL vs Erie, PA
Population Overview
Compare main population characteristics in Deerfield beach, FL vs Erie, PA.
Data | Deerfield beach | Erie |
---|---|---|
Population | 86,772 | 93,511 |
Median Age | 43.5 years | 35.0 years |
Median Income | $53,741 | $43,135 |
Married Families | 35.0% | 27.0% |
Poverty Level | 12% | 20% |
Unemployment Rate | 3.2 | 3.9 |
Population Comparison: Deerfield beach vs Erie
- The population in Erie is higher at 93,511, compared to 86,772 in Deerfield beach.
- Residents in Deerfield beach have a higher median age of 43.5 years compared to 35.0 years in Erie.
- Deerfield beach has a higher median income of $53,741 compared to $43,135 in Erie.
- A higher percentage of married families is found in Deerfield beach at 35.0% compared to 27.0% in Erie.
- The poverty level is higher in Erie at 20%, compared to 12% in Deerfield beach.
- Erie has a higher unemployment rate at 3.9% compared to 3.2% in Deerfield beach.
Demographics
Demographics Deerfield beach vs Erie provide insight into the diversity of the communities to compare.
Demographic | Deerfield beach | Erie |
---|---|---|
Black | 24 | 17 |
White | 33 | 65 |
Asian | 2 | 2 |
Hispanic | 24 | 8 |
Two or More Races | 17 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Deerfield beach vs Erie
- A higher percentage of Black residents are in Deerfield beach at 24% compared to 17% in Erie.
- The percentage of White residents is higher in Erie at 65% compared to 33% in Deerfield beach.
- Both Deerfield beach and Erie have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Deerfield beach at 24% compared to 8% in Erie.
- More residents identify as two or more races in Deerfield beach at 17% compared to 8% in Erie.
- The percentage of American Indian residents is the same in both Deerfield beach and Erie at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Deerfield beach | Erie |
---|---|---|
Mental Health Not Good | 16.6% | 19.6% |
Physical Health Not Good | 11.6% | 15.0% |
Depression | 18.5% | 23.2% |
Smoking | 19.8% | 25.2% |
Binge Drinking | 15.1% | 16.5% |
Obesity | 30.3% | 41.6% |
Disability Percentage | 14.0% | 18.0% |
Health Statistics Comparison: Deerfield beach vs Erie
- In Erie, a higher percentage report poor mental health at 19.6% compared to 16.6% in Deerfield beach.
- Higher depression rates are seen in Erie at 23.2% versus 18.5% in Deerfield beach.
- Erie has a higher smoking rate at 25.2% compared to 19.8% in Deerfield beach.
- More residents engage in binge drinking in Erie at 16.5% compared to 15.1% in Deerfield beach.
- Erie has higher obesity rates at 41.6% compared to 30.3% in Deerfield beach.
- There is a higher percentage of disabled individuals in Erie at 18.0% compared to 14.0% in Deerfield beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Deerfield beach | Erie |
---|---|---|
No Schooling | 1.8% (1,563) | 1.6% (1,478) |
High School Diploma | 18.7% (16,205) | 21.4% (20,036) |
Less than High School | 18.3% (15,908) | 12.8% (11,949) |
Bachelor's Degree and Higher | 20.3% (17,606) | 14.9% (13,967) |
Education Levels Comparison: Deerfield beach vs Erie
- A higher percentage of residents in Deerfield beach have no formal schooling at 1.8% compared to 1.6% in Erie.
- In Erie, the rate of residents with high school diplomas is higher at 21.4% compared to 18.7% in Deerfield beach.
- More residents in Deerfield beach have less than a high school education at 18.3% compared to 12.8% in Erie.
- A higher percentage of residents in Deerfield beach hold a bachelor's degree or higher at 20.3% 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.