Demographics details for Manhattan, KS vs Deerfield beach, FL
Population Overview
Compare main population characteristics in Manhattan, KS vs Deerfield beach, FL.
Data | Manhattan | Deerfield beach |
---|---|---|
Population | 53,829 | 86,772 |
Median Age | 24.7 years | 43.5 years |
Median Income | $55,316 | $53,741 |
Married Families | 29.0% | 35.0% |
Poverty Level | 15% | 12% |
Unemployment Rate | 3.8 | 3.2 |
Population Comparison: Manhattan vs Deerfield beach
- The population in Deerfield beach is higher at 86,772, compared to 53,829 in Manhattan.
- The median age in Deerfield beach is higher at 43.5 years, compared to 24.7 years in Manhattan.
- Manhattan has a higher median income of $55,316 compared to $53,741 in Deerfield beach.
- In Deerfield beach, the percentage of married families is higher at 35.0%, compared to 29.0% in Manhattan.
- Manhattan has a higher poverty level at 15% compared to 12% in Deerfield beach.
- The unemployment rate in Manhattan is higher at 3.8%, compared to 3.2% in Deerfield beach.
Demographics
Demographics Manhattan vs Deerfield beach provide insight into the diversity of the communities to compare.
Demographic | Manhattan | Deerfield beach |
---|---|---|
Black | 5 | 24 |
White | 74 | 33 |
Asian | 5 | 2 |
Hispanic | 8 | 24 |
Two or More Races | 7 | 17 |
American Indian | 1 | Data is updating |
Demographics Comparison: Manhattan vs Deerfield beach
- In Deerfield beach, the percentage of Black residents is higher at 24% compared to 5% in Manhattan.
- Manhattan has a higher percentage of White residents at 74% compared to 33% in Deerfield beach.
- The Asian population is larger in Manhattan at 5% compared to 2% in Deerfield beach.
- Deerfield beach has a higher percentage of Hispanic residents at 24%, compared to 8% in Manhattan.
- The percentage of residents identifying as two or more races is higher in Deerfield beach at 17%, compared to 7% in Manhattan.
- A greater percentage of American Indian residents live in Manhattan at 1% compared to 0% in Deerfield beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Manhattan | Deerfield beach |
---|---|---|
Mental Health Not Good | 15.7% | 16.6% |
Physical Health Not Good | 10.1% | 11.6% |
Depression | 20.2% | 18.5% |
Smoking | 16.0% | 19.8% |
Binge Drinking | 20.6% | 15.1% |
Obesity | 32.2% | 30.3% |
Disability Percentage | 12.0% | 14.0% |
Health Statistics Comparison: Manhattan vs Deerfield beach
- In Deerfield beach, a higher percentage report poor mental health at 16.6% compared to 15.7% in Manhattan.
- Depression is more prevalent in Manhattan at 20.2% compared to 18.5% in Deerfield beach.
- Deerfield beach has a higher smoking rate at 19.8% compared to 16.0% in Manhattan.
- Binge drinking is more common in Manhattan at 20.6% compared to 15.1% in Deerfield beach.
- Obesity rates are higher in Manhattan at 32.2% compared to 30.3% in Deerfield beach.
- There is a higher percentage of disabled individuals in Deerfield beach at 14.0% compared to 12.0% in Manhattan.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Manhattan | Deerfield beach |
---|---|---|
No Schooling | 0.5% (256) | 1.8% (1,563) |
High School Diploma | 5.8% (3,138) | 18.7% (16,205) |
Less than High School | 4.2% (2,256) | 18.3% (15,908) |
Bachelor's Degree and Higher | 26.0% (14,017) | 20.3% (17,606) |
Education Levels Comparison: Manhattan vs Deerfield beach
- In Deerfield beach, a larger percentage of residents lack formal schooling at 1.8% compared to 0.5% in Manhattan.
- In Deerfield beach, the rate of residents with high school diplomas is higher at 18.7% compared to 5.8% in Manhattan.
- The percentage of residents with less than a high school education is higher in Deerfield beach at 18.3%, compared to 4.2% in Manhattan.
- A higher percentage of residents in Manhattan hold a bachelor's degree or higher at 26.0% compared to 20.3% in Deerfield beach.
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.