Demographics details for Franklin, NE vs Deerfield beach, FL
Population Overview
Compare main population characteristics in Franklin, NE vs Deerfield beach, FL.
Data | Franklin | Deerfield beach |
---|---|---|
Population | 2,873 | 86,772 |
Median Age | 49.8 years | 43.5 years |
Median Income | $55,625 | $53,741 |
Married Families | 51.0% | 35.0% |
Poverty Level | Data is updating | 12% |
Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Franklin vs Deerfield beach
- The population in Deerfield beach is higher at 86,772, compared to 2,873 in Franklin.
- Residents in Franklin have a higher median age of 49.8 years compared to 43.5 years in Deerfield beach.
- Franklin has a higher median income of $55,625 compared to $53,741 in Deerfield beach.
- A higher percentage of married families is found in Franklin at 51.0% compared to 35.0% in Deerfield beach.
- The poverty level is higher in Deerfield beach at 12%, compared to 0% in Franklin.
- The unemployment rate is the same in both Franklin and Deerfield beach at 3.2%.
Demographics
Demographics Franklin vs Deerfield beach provide insight into the diversity of the communities to compare.
Demographic | Franklin | Deerfield beach |
---|---|---|
Black | Data is updating | 24 |
White | 94 | 33 |
Asian | Data is updating | 2 |
Hispanic | 3 | 24 |
Two or More Races | 2 | 17 |
American Indian | 1 | Data is updating |
Demographics Comparison: Franklin vs Deerfield beach
- In Deerfield beach, the percentage of Black residents is higher at 24% compared to 0% in Franklin.
- Franklin has a higher percentage of White residents at 94% compared to 33% in Deerfield beach.
- In Deerfield beach, the Asian population stands at 2%, greater than 0% in Franklin.
- Deerfield beach has a higher percentage of Hispanic residents at 24%, compared to 3% in Franklin.
- The percentage of residents identifying as two or more races is higher in Deerfield beach at 17%, compared to 2% in Franklin.
- A greater percentage of American Indian residents live in Franklin at 1% compared to 0% in Deerfield beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Franklin | Deerfield beach |
---|---|---|
Mental Health Not Good | 15.4% | 16.6% |
Physical Health Not Good | 10.8% | 11.6% |
Depression | 18.5% | 18.5% |
Smoking | 19.6% | 19.8% |
Binge Drinking | 20.2% | 15.1% |
Obesity | 43.8% | 30.3% |
Disability Percentage | 18.0% | 14.0% |
Health Statistics Comparison: Franklin vs Deerfield beach
- In Deerfield beach, a higher percentage report poor mental health at 16.6% compared to 15.4% in Franklin.
- Both cities have comparable depression rates at 18.5%.
- Deerfield beach has a higher smoking rate at 19.8% compared to 19.6% in Franklin.
- Binge drinking is more common in Franklin at 20.2% compared to 15.1% in Deerfield beach.
- Obesity rates are higher in Franklin at 43.8% compared to 30.3% in Deerfield beach.
- Disability percentages are higher in Franklin 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 | Franklin | Deerfield beach |
---|---|---|
No Schooling | 0.2% (6) | 1.8% (1,563) |
High School Diploma | 21.8% (627) | 18.7% (16,205) |
Less than High School | 10.1% (289) | 18.3% (15,908) |
Bachelor's Degree and Higher | 14.5% (416) | 20.3% (17,606) |
Education Levels Comparison: Franklin vs Deerfield beach
- In Deerfield beach, a larger percentage of residents lack formal schooling at 1.8% compared to 0.2% in Franklin.
- A higher percentage of residents in Franklin hold a high school diploma at 21.8% compared to 18.7% in Deerfield beach.
- The percentage of residents with less than a high school education is higher in Deerfield beach at 18.3%, compared to 10.1% in Franklin.
- In Deerfield beach, a larger share of residents have a bachelor's degree or higher at 20.3% compared to 14.5% in Franklin.
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.