Demographics details for Palm city, FL vs Lancaster, CA
Population Overview
Compare main population characteristics in Palm city, FL vs Lancaster, CA.
| Data | Palm city | Lancaster |
|---|---|---|
| Population | 25,957 | 169,185 |
| Median Age | 51.0 years | 33.6 years |
| Median Income | $111,394 | $71,367 |
| Married Families | 53.0% | 32.0% |
| Poverty Level | 5% | 15% |
| Unemployment Rate | 3.5 | 8.2 |
Population Comparison: Palm city vs Lancaster
- The population in Lancaster is higher at 169,185, compared to 25,957 in Palm city.
- Residents in Palm city have a higher median age of 51.0 years compared to 33.6 years in Lancaster.
- Palm city has a higher median income of $111,394 compared to $71,367 in Lancaster.
- A higher percentage of married families is found in Palm city at 53.0% compared to 32.0% in Lancaster.
- The poverty level is higher in Lancaster at 15%, compared to 5% in Palm city.
- Lancaster has a higher unemployment rate at 8.2% compared to 3.5% in Palm city.
Demographics
Demographics Palm city vs Lancaster provide insight into the diversity of the communities to compare.
| Demographic | Palm city | Lancaster |
|---|---|---|
| Black | 1 | 21 |
| White | 82 | 10 |
| Asian | 3 | 4 |
| Hispanic | 8 | 46 |
| Two or More Races | 6 | 18 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Palm city vs Lancaster
- In Lancaster, the percentage of Black residents is higher at 21% compared to 1% in Palm city.
- Palm city has a higher percentage of White residents at 82% compared to 10% in Lancaster.
- In Lancaster, the Asian population stands at 4%, greater than 3% in Palm city.
- Lancaster has a higher percentage of Hispanic residents at 46%, compared to 8% in Palm city.
- The percentage of residents identifying as two or more races is higher in Lancaster at 18%, compared to 6% in Palm city.
- In Lancaster, the percentage of American Indian residents is higher at 1%, compared to 0% in Palm city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Palm city | Lancaster |
|---|---|---|
| Mental Health Not Good | 14.4% | 17.8% |
| Physical Health Not Good | 8.4% | 13.5% |
| Depression | 18.1% | 17.7% |
| Smoking | 14.4% | 14.8% |
| Binge Drinking | 18.3% | 15.1% |
| Obesity | 25.4% | 32.9% |
| Disability Percentage | 10.0% | 10.0% |
Health Statistics Comparison: Palm city vs Lancaster
- In Lancaster, a higher percentage report poor mental health at 17.8% compared to 14.4% in Palm city.
- Depression is more prevalent in Palm city at 18.1% compared to 17.7% in Lancaster.
- Lancaster has a higher smoking rate at 14.8% compared to 14.4% in Palm city.
- Binge drinking is more common in Palm city at 18.3% compared to 15.1% in Lancaster.
- Lancaster has higher obesity rates at 32.9% compared to 25.4% in Palm city.
- Disability percentages are the same in both Palm city and Lancaster at 10.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Palm city | Lancaster |
|---|---|---|
| No Schooling | 0.6% (168) | 2.0% (3,403) |
| High School Diploma | 10.0% (2,593) | 17.5% (29,555) |
| Less than High School | 4.2% (1,093) | 21.5% (36,421) |
| Bachelor's Degree and Higher | 35.9% (9,330) | 12.3% (20,861) |
Education Levels Comparison: Palm city vs Lancaster
- In Lancaster, a larger percentage of residents lack formal schooling at 2.0% compared to 0.6% in Palm city.
- In Lancaster, the rate of residents with high school diplomas is higher at 17.5% compared to 10.0% in Palm city.
- The percentage of residents with less than a high school education is higher in Lancaster at 21.5%, compared to 4.2% in Palm city.
- A higher percentage of residents in Palm city hold a bachelor's degree or higher at 35.9% compared to 12.3% in Lancaster.
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.