Demographics details for Daytona beach, FL vs Lawrence, KS
Population Overview
Compare main population characteristics in Daytona beach, FL vs Lawrence, KS.
| Data | Daytona beach | Lawrence |
|---|---|---|
| Population | 77,958 | 95,794 |
| Median Age | 40.2 years | 28.8 years |
| Median Income | $47,608 | $59,834 |
| Married Families | 27.0% | 32.0% |
| Poverty Level | 15% | 12% |
| Unemployment Rate | 5.0 | 3.9 |
Population Comparison: Daytona beach vs Lawrence
- The population in Lawrence is higher at 95,794, compared to 77,958 in Daytona beach.
- Residents in Daytona beach have a higher median age of 40.2 years compared to 28.8 years in Lawrence.
- Lawrence has a higher median income of $59,834, compared to $47,608 in Daytona beach.
- In Lawrence, the percentage of married families is higher at 32.0%, compared to 27.0% in Daytona beach.
- Daytona beach has a higher poverty level at 15% compared to 12% in Lawrence.
- The unemployment rate in Daytona beach is higher at 5.0%, compared to 3.9% in Lawrence.
Demographics
Demographics Daytona beach vs Lawrence provide insight into the diversity of the communities to compare.
| Demographic | Daytona beach | Lawrence |
|---|---|---|
| Black | 30 | 5 |
| White | 52 | 71 |
| Asian | 3 | 6 |
| Hispanic | 10 | 7 |
| Two or More Races | 5 | 9 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Daytona beach vs Lawrence
- A higher percentage of Black residents are in Daytona beach at 30% compared to 5% in Lawrence.
- The percentage of White residents is higher in Lawrence at 71% compared to 52% in Daytona beach.
- In Lawrence, the Asian population stands at 6%, greater than 3% in Daytona beach.
- The Hispanic community is larger in Daytona beach at 10% compared to 7% in Lawrence.
- The percentage of residents identifying as two or more races is higher in Lawrence at 9%, compared to 5% in Daytona beach.
- In Lawrence, the percentage of American Indian residents is higher at 2%, compared to 0% in Daytona beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Daytona beach | Lawrence |
|---|---|---|
| Mental Health Not Good | 17.9% | 16.5% |
| Physical Health Not Good | 13.9% | 9.5% |
| Depression | 20.8% | 22.3% |
| Smoking | 25.2% | 14.8% |
| Binge Drinking | 16.0% | 19.6% |
| Obesity | 38.5% | 32.8% |
| Disability Percentage | 17.0% | 10.0% |
Health Statistics Comparison: Daytona beach vs Lawrence
- More residents in Daytona beach report poor mental health at 17.9% compared to 16.5% in Lawrence.
- Higher depression rates are seen in Lawrence at 22.3% versus 20.8% in Daytona beach.
- Smoking is more prevalent in Daytona beach at 25.2% compared to 14.8% in Lawrence.
- More residents engage in binge drinking in Lawrence at 19.6% compared to 16.0% in Daytona beach.
- Obesity rates are higher in Daytona beach at 38.5% compared to 32.8% in Lawrence.
- Disability percentages are higher in Daytona beach at 17.0% compared to 10.0% in Lawrence.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Daytona beach | Lawrence |
|---|---|---|
| No Schooling | 1.4% (1,065) | 0.5% (466) |
| High School Diploma | 17.5% (13,654) | 8.2% (7,882) |
| Less than High School | 11.3% (8,833) | 4.0% (3,784) |
| Bachelor's Degree and Higher | 16.5% (12,881) | 31.1% (29,776) |
Education Levels Comparison: Daytona beach vs Lawrence
- A higher percentage of residents in Daytona beach have no formal schooling at 1.4% compared to 0.5% in Lawrence.
- A higher percentage of residents in Daytona beach hold a high school diploma at 17.5% compared to 8.2% in Lawrence.
- More residents in Daytona beach have less than a high school education at 11.3% compared to 4.0% in Lawrence.
- In Lawrence, a larger share of residents have a bachelor's degree or higher at 31.1% compared to 16.5% in Daytona 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.