Demographics details for Daytona beach, FL vs Elk city, KS
Population Overview
Compare main population characteristics in Daytona beach, FL vs Elk city, KS.
Data | Daytona beach | Elk city |
---|---|---|
Population | 77,958 | 257 |
Median Age | 40.2 years | 45.9 years |
Median Income | $47,608 | $31,250 |
Married Families | 27.0% | 52.0% |
Poverty Level | 15% | 14% |
Unemployment Rate | 5.0 | 4.0 |
Population Comparison: Daytona beach vs Elk city
- In Daytona beach, the population is higher at 77,958, compared to 257 in Elk city.
- The median age in Elk city is higher at 45.9 years, compared to 40.2 years in Daytona beach.
- Daytona beach has a higher median income of $47,608 compared to $31,250 in Elk city.
- In Elk city, the percentage of married families is higher at 52.0%, compared to 27.0% in Daytona beach.
- Daytona beach has a higher poverty level at 15% compared to 14% in Elk city.
- The unemployment rate in Daytona beach is higher at 5.0%, compared to 4.0% in Elk city.
Demographics
Demographics Daytona beach vs Elk city provide insight into the diversity of the communities to compare.
Demographic | Daytona beach | Elk city |
---|---|---|
Black | 30 | Data is updating |
White | 52 | 87 |
Asian | 3 | Data is updating |
Hispanic | 10 | 5 |
Two or More Races | 5 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Daytona beach vs Elk city
- A higher percentage of Black residents are in Daytona beach at 30% compared to 0% in Elk city.
- The percentage of White residents is higher in Elk city at 87% compared to 52% in Daytona beach.
- The Asian population is larger in Daytona beach at 3% compared to 0% in Elk city.
- The Hispanic community is larger in Daytona beach at 10% compared to 5% in Elk city.
- The percentage of residents identifying as two or more races is higher in Elk city at 8%, compared to 5% in Daytona beach.
- The percentage of American Indian residents is the same in both Daytona beach and Elk city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Daytona beach | Elk city |
---|---|---|
Mental Health Not Good | 17.9% | 17.1% |
Physical Health Not Good | 13.9% | 10.9% |
Depression | 20.8% | 22.6% |
Smoking | 25.2% | 19.5% |
Binge Drinking | 16.0% | 19.7% |
Obesity | 38.5% | 41.7% |
Disability Percentage | 17.0% | 28.0% |
Health Statistics Comparison: Daytona beach vs Elk city
- More residents in Daytona beach report poor mental health at 17.9% compared to 17.1% in Elk city.
- Higher depression rates are seen in Elk city at 22.6% versus 20.8% in Daytona beach.
- Smoking is more prevalent in Daytona beach at 25.2% compared to 19.5% in Elk city.
- More residents engage in binge drinking in Elk city at 19.7% compared to 16.0% in Daytona beach.
- Elk city has higher obesity rates at 41.7% compared to 38.5% in Daytona beach.
- There is a higher percentage of disabled individuals in Elk city at 28.0% compared to 17.0% in Daytona beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Daytona beach | Elk city |
---|---|---|
No Schooling | 1.4% (1,065) | 0.8% (2) |
High School Diploma | 17.5% (13,654) | 21.8% (56) |
Less than High School | 11.3% (8,833) | 13.6% (35) |
Bachelor's Degree and Higher | 16.5% (12,881) | 3.5% (9) |
Education Levels Comparison: Daytona beach vs Elk city
- A higher percentage of residents in Daytona beach have no formal schooling at 1.4% compared to 0.8% in Elk city.
- In Elk city, the rate of residents with high school diplomas is higher at 21.8% compared to 17.5% in Daytona beach.
- The percentage of residents with less than a high school education is higher in Elk city at 13.6%, compared to 11.3% in Daytona beach.
- A higher percentage of residents in Daytona beach hold a bachelor's degree or higher at 16.5% compared to 3.5% in Elk city.
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.