Demographics details for Malta, MT vs Lake worth beach, FL
Population Overview
Compare main population characteristics in Malta, MT vs Lake worth beach, FL.
| Data | Malta | Lake worth beach |
|---|---|---|
| Population | 1,868 | 38,548 |
| Median Age | 49.6 years | 36.6 years |
| Median Income | $60,735 | $42,500 |
| Married Families | 49.0% | 27.0% |
| Poverty Level | 10% | 14% |
| Unemployment Rate | 3.1 | 4.1 |
Population Comparison: Malta vs Lake worth beach
- The population in Lake worth beach is higher at 38,548, compared to 1,868 in Malta.
- Residents in Malta have a higher median age of 49.6 years compared to 36.6 years in Lake worth beach.
- Malta has a higher median income of $60,735 compared to $42,500 in Lake worth beach.
- A higher percentage of married families is found in Malta at 49.0% compared to 27.0% in Lake worth beach.
- The poverty level is higher in Lake worth beach at 14%, compared to 10% in Malta.
- Lake worth beach has a higher unemployment rate at 4.1% compared to 3.1% in Malta.
Demographics
Demographics Malta vs Lake worth beach provide insight into the diversity of the communities to compare.
| Demographic | Malta | Lake worth beach |
|---|---|---|
| Black | Data is updating | 18 |
| White | 77 | 32 |
| Asian | Data is updating | 1 |
| Hispanic | 5 | 44 |
| Two or More Races | 14 | 3 |
| American Indian | 4 | 2 |
Demographics Comparison: Malta vs Lake worth beach
- In Lake worth beach, the percentage of Black residents is higher at 18% compared to 0% in Malta.
- Malta has a higher percentage of White residents at 77% compared to 32% in Lake worth beach.
- In Lake worth beach, the Asian population stands at 1%, greater than 0% in Malta.
- Lake worth beach has a higher percentage of Hispanic residents at 44%, compared to 5% in Malta.
- More residents identify as two or more races in Malta at 14% compared to 3% in Lake worth beach.
- A greater percentage of American Indian residents live in Malta at 4% compared to 2% in Lake worth beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Malta | Lake worth beach |
|---|---|---|
| Mental Health Not Good | 17.3% | 17.4% |
| Physical Health Not Good | 11.7% | 15.0% |
| Depression | 23.6% | 18.8% |
| Smoking | 18.6% | 24.3% |
| Binge Drinking | 21.3% | 14.6% |
| Obesity | 37.6% | 32.1% |
| Disability Percentage | 20.0% | 10.0% |
Health Statistics Comparison: Malta vs Lake worth beach
- In Lake worth beach, a higher percentage report poor mental health at 17.4% compared to 17.3% in Malta.
- Depression is more prevalent in Malta at 23.6% compared to 18.8% in Lake worth beach.
- Lake worth beach has a higher smoking rate at 24.3% compared to 18.6% in Malta.
- Binge drinking is more common in Malta at 21.3% compared to 14.6% in Lake worth beach.
- Obesity rates are higher in Malta at 37.6% compared to 32.1% in Lake worth beach.
- Disability percentages are higher in Malta at 20.0% compared to 10.0% in Lake worth beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Malta | Lake worth beach |
|---|---|---|
| No Schooling | 0.1% (1) | 4.2% (1,638) |
| High School Diploma | 23.8% (444) | 14.6% (5,630) |
| Less than High School | 12.3% (230) | 37.5% (14,472) |
| Bachelor's Degree and Higher | 19.3% (361) | 13.1% (5,068) |
Education Levels Comparison: Malta vs Lake worth beach
- In Lake worth beach, a larger percentage of residents lack formal schooling at 4.2% compared to 0.1% in Malta.
- A higher percentage of residents in Malta hold a high school diploma at 23.8% compared to 14.6% in Lake worth beach.
- The percentage of residents with less than a high school education is higher in Lake worth beach at 37.5%, compared to 12.3% in Malta.
- A higher percentage of residents in Malta hold a bachelor's degree or higher at 19.3% compared to 13.1% in Lake worth 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.